CN114819619A - Internet of vehicles system service health analysis method and device - Google Patents
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Abstract
The application provides a service health analysis method and device for a vehicle networking system, and the method comprises the steps of obtaining aggregated data information, wherein the aggregated data information comprises running data of each service type in multiple different service types of the vehicle networking at different time; acquiring weight information corresponding to each service type; and calculating the health degree of the Internet of vehicles service according to the weight information corresponding to each service type and the running data of each service type at different time, so that the current health condition of the Internet of vehicles service is visually and specifically analyzed, and the actual health condition of the Internet of vehicles service is accurately reflected.
Description
Technical Field
The application relates to the technical field of Internet of vehicles, in particular to a method and a device for analyzing service health of an Internet of vehicles system.
Background
At present, a common service health analysis mode of the car networking system is to collect service state data through daily operation and maintenance monitoring, and then judge the current state according to a preset alarm rule so as to send an alarm notification, but the mode can only alarm the current service health condition, but cannot visually and specifically analyze the current service state, so that the actual service health condition of the car networking system cannot be reflected.
Disclosure of Invention
An object of the embodiment of the application is to provide a method and a device for analyzing service health of a vehicle networking system, so as to solve the problem that the current health analysis mode cannot perform intuitive specific analysis on the current service state.
In a first aspect, the invention provides a service health analysis method for a vehicle networking system, which comprises the following steps: acquiring aggregated data information, wherein the aggregated data information comprises operation data of each service type in multiple different service types of the Internet of vehicles at different time; acquiring weight information corresponding to each service type; and calculating the health degree of the Internet of vehicles service according to the weight information corresponding to each service type and the operation data of each service type at different time.
According to the method for analyzing the service health of the Internet of vehicles, the aggregated data information and the weight information corresponding to each service type are firstly obtained, and then the health degree of the Internet of vehicles service is calculated by utilizing the running data of each service type in the aggregated data information at different time and the weight information corresponding to each service type, so that the current health condition of the Internet of vehicles service can be visually and specifically analyzed through the calculated health degree, and the actual health condition of the Internet of vehicles service can be accurately reflected.
In an optional implementation manner of the first aspect, the calculating the health degree of the car networking service according to the weight information corresponding to each service type and the operation data of each service type at different times includes: calculating the health value of the corresponding service type according to the running data of each service type at different time; and calculating the health degree of the Internet of vehicles service according to the weight information corresponding to each service type and the health degree value of each service type.
In an optional implementation manner of the first aspect, the calculating the health value of the corresponding service type according to the running data of each service type at different times includes: determining the total operation time length and the fault time length of the service type according to the operation data of the service type at different times; determining the service availability of the corresponding service type according to the total operation duration and the fault duration of the service type; and calculating the health value of the corresponding service type according to the service availability of the service type.
In an optional implementation manner of the first aspect, the calculating a health value of a corresponding service type according to a service availability of the service type includes: determining the number of service concurrent interfaces corresponding to the service types and the service request processing capacity according to the operation data of the service types at different times; determining the service capability of the corresponding service type according to the service concurrency number and the service request processing capability of the service type; and calculating the health value of the corresponding service type according to the service capability and the service availability of the service type.
In an optional implementation manner of the first aspect, after calculating the health degree of the car networking service according to the weight information corresponding to each service type and the running data of each service type at different time, the method further includes: judging whether the health degree of the Internet of vehicles service exceeds a set health degree threshold value or not; and if so, issuing an alarm of the health degree of the Internet of vehicles service.
In an optional implementation manner of the first aspect, after the obtaining the aggregated data information, the method further includes: and predicting the fault occurrence probability of the corresponding service type according to the operation data of each service type at different time through a probability prediction model.
In an optional implementation manner of the first aspect, the obtaining aggregated data information includes: periodically collecting information of the operation of the Internet of vehicles service; and performing service type classification and time aggregation on the information of the operation of the Internet of vehicles service to obtain operation data of each service type in multiple different service types at different time so as to obtain aggregated data information.
In a second aspect, the invention provides a service health analysis device of a vehicle networking system, which comprises an acquisition module and a calculation module; the acquisition module is used for acquiring aggregated data information, and the aggregated data information comprises running data of each service type in multiple different service types of the Internet of vehicles at different time; acquiring weight information corresponding to each service type; and the calculating module is used for calculating the health degree of the Internet of vehicles service according to the weight information corresponding to each service type and the running data of each service type at different time.
According to the health analysis device for the service of the Internet of vehicles, the aggregation data information and the weight information corresponding to each service type are obtained through the obtaining module, the health degree of the Internet of vehicles service is calculated by utilizing the operation data of each service type in the aggregation data information of the calculating module at different time and the weight information corresponding to each service type, so that the current health condition of the Internet of vehicles service can be visually and specifically analyzed through the calculated health degree, and the actual health condition of the Internet of vehicles service can be accurately reflected.
In an optional implementation manner of the second aspect, the calculating module is specifically configured to calculate a health value of a corresponding service type according to the running data of each service type at different times; and calculating the health degree of the Internet of vehicles service according to the weight information corresponding to each service type and the health degree value of each service type.
In an optional implementation manner of the second aspect, the calculation module is further specifically configured to determine a total operation duration and a fault duration of a corresponding service type according to operation data of the service type at different times; determining the service availability of the corresponding service type according to the total operation duration and the fault duration of the service type; and calculating the health value of the corresponding service type according to the service availability of the service type.
In an optional implementation manner of the second aspect, the calculation module is further specifically configured to determine, according to the operation data of the service types at different times, the number of service concurrent interfaces corresponding to the service types and the service request processing capability; determining the service capability of the corresponding service type according to the service concurrency number and the service request processing capability of the service type; and calculating the health value of the corresponding service type according to the service capability and the service availability of the service type.
In an optional implementation manner of the second aspect, the apparatus further includes a determining module, configured to determine whether the health degree of the internet of vehicles service exceeds a set health degree threshold; and the warning module is used for issuing a warning of the health degree of the Internet of vehicles service after the judging module judges that the health degree of the Internet of vehicles service exceeds the set health degree threshold value.
In an optional embodiment of the second aspect, the apparatus further includes a prediction module, configured to predict, by using a probability prediction model, a fault occurrence probability of each service type according to the operation data of each service type at different times.
In an optional implementation manner of the second aspect, the obtaining module is specifically configured to periodically collect information about operation of the internet of vehicles service; and performing service type classification and time aggregation on the information of the operation of the Internet of vehicles service to obtain operation data of each service type in multiple different service types at different time so as to obtain aggregated data information.
In a third aspect, the present application provides an electronic device, including a memory and a processor, where the memory stores a computer program, and the processor executes the computer program to perform the method in any one of the implementation manners of the first aspect and the first aspect.
In a fourth aspect, the present application provides a computer-readable storage medium having a computer program stored thereon, where the computer program is executed by a processor to perform the method of any one of the optional implementations of the first aspect and the first aspect.
In a fifth aspect, the present application provides a computer program product, which when run on a computer, causes the computer to perform the method of any one of the optional implementations of the first aspect and the first aspect.
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In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are required to be used in the embodiments of the present application will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and that those skilled in the art can also obtain other related drawings based on the drawings without inventive efforts.
FIG. 1 is a schematic structural diagram of a service health analysis system of a vehicle networking system provided in an embodiment of the present application;
FIG. 2 is a first flowchart of a service health analysis method of a vehicle networking system provided in an embodiment of the present application;
FIG. 3 is a second flowchart of a method for service health analysis of a vehicle networking system according to an embodiment of the present application;
FIG. 4 is a third flowchart of a method for analyzing service health of a vehicle networking system according to an embodiment of the present application;
FIG. 5 is a fourth flowchart of a method for service health analysis of a vehicle networking system according to an embodiment of the present application;
FIG. 6 is a fifth flowchart of a method for service health analysis of a vehicle networking system according to an embodiment of the present application;
FIG. 7 is a sixth flowchart of a service health analysis method of a vehicle networking system according to an embodiment of the present application;
FIG. 8 is a schematic structural diagram of a service health analysis device of the Internet of vehicles system provided by the embodiment of the application;
fig. 9 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Icon: 10-a proxy server; 20-a collection server; 30-elastic search; 40-a service health analysis device; 800-an acquisition module; 810-a calculation module; 820-a judgment module; 830-alarm module; 840-a prediction module; 9-an electronic device; 901-a processor; 902-a memory; 903 — a communication bus.
Detailed Description
The technical solutions in the embodiments of the present application will be described below with reference to the drawings in the embodiments of the present application.
The embodiment of the present application firstly provides a service health analysis system of a car networking system, as shown in fig. 1, the service health analysis system of the car networking system includes a proxy server 10, a collection server 20, an elastic search 30 and a service health analysis device 40, the proxy server 10 is docked with a car networking system a and is in communication with the collection server 20, the collection server 20 is in communication with the elastic search 30, and the elastic search is in communication with the service health analysis device 40.
After the agent server 10 is in butt joint with the Internet of vehicles system A, the service operation data information of the Internet of vehicles system can be acquired through a butt joint interface, wherein the service operation data information of the Internet of vehicles system can comprise various different types of service operation data information in the Internet of vehicles system, and the different types of service operation data information can be acquired through different butt joint interfaces; in addition, the proxy server 10 may periodically collect service operation data of the car networking system, so as to collect service operation data information of different time dimensions.
The proxy server 10 periodically sends the collected different types of service operation data information to the collection server 20, the collection server 20 performs data aggregation on the received data, specifically, the collection server 20 may aggregate the service operation data information belonging to the same type at different times to obtain aggregated data information, and then performs data storage on the aggregated data information through the flexible search 30.
The service health analysis device 40 may obtain the health degree of the car networking system by reading the aggregated data information stored in the elastic search 30 and then analyzing the service operation condition of the car networking system according to the aggregated data information.
In this regard, the present application provides a service health analysis method of a car networking system, which may be applied to the aforementioned service health analysis device 40, as shown in fig. 2, and the method may include the following steps:
step S200: and acquiring aggregated data information.
Step S210: and acquiring weight information corresponding to each service type.
Step S220: and calculating the health degree of the Internet of vehicles service according to the weight information corresponding to each service type and the operation data of each service type at different time.
In step S200, the aggregated data information may include running data of each of a plurality of different service types in the foregoing car networking system at different times, wherein the different service types may include, but are not limited to, a product query service, an order submission service, an order payment service, an invoice service, and the like; the different times include, but are not limited to, any of 30 seconds, 1 minute, 5 minutes, 10 minutes, or 30 minutes.
In step S210, each service type has corresponding weight information, for example, the aforementioned product query service, order submission service, order payment service, and invoice service respectively have different weight information. The weight proportion of each service type can be determined according to the importance degree of the car networking system corresponding to each service type, and the service types with different importance degrees correspond to different weights.
On the basis, in the present scheme, step S220 is executed to calculate the health degree of the car networking service according to the weight information corresponding to each service type and the running data of each service type at different time, where the health degree of the car networking service can be represented by a specific health degree value, for example, the health degree is 100 points, the health degree is 80 points, and the like.
According to the method for analyzing the service health of the Internet of vehicles, the aggregated data information and the weight information corresponding to each service type are firstly obtained, and then the health degree of the Internet of vehicles service is calculated by utilizing the running data of each service type in the aggregated data information at different time and the weight information corresponding to each service type, so that the current health condition of the Internet of vehicles service can be visually and specifically analyzed through the calculated health degree, and the actual health condition of the Internet of vehicles service can be accurately reflected.
In an alternative implementation manner of this embodiment, as shown in fig. 3, as a possible implementation manner, the foregoing step S220 may be specifically implemented by:
step S300: and calculating the health value of the corresponding service type according to the running data of each service type at different time.
Step S310: and calculating the health degree of the Internet of vehicles service according to the weight information corresponding to each service type and the health degree value of each service type.
In the embodiment, the health degree of the Internet of vehicles service can be analyzed based on a plurality of service types, and the health degree of the corresponding service type can be analyzed based on the running data of each service type at different time, so that the health degree value is obtained. For example, the health degree analysis may be performed on the product query service, the order submission service, the order payment service, and the invoice service, respectively, to obtain health degree values of various types.
On the basis, the health degree of the Internet of vehicles service can be calculated according to the scheme based on the weight information corresponding to each service type and the health degree value corresponding to the service type. Specifically, the weight information corresponding to each service type can be multiplied by the health degree value of the corresponding service type, and then the products of the weights of all service types and the health degree value are added, so that the health degree of the vehicle networking service can be obtained. For example, assume that the health value of the product query service is 100 points, and the weight proportion is 0.1; the health value of the order submitting service is 80 points, and the weight proportion is 0.3; the health value of the order payment service is 100 points, and the weight proportion is 0.4; the health value of the invoice service is 90 points, the weight ratio is 0.2, and on the basis, the health value of the internet of vehicles service is 100 points by 0.1+80 points by 0.3+100 points by 0.4+90 points by 0.2 points by 92 points.
According to the embodiment of the design, the health degree value of the corresponding service type is calculated according to the running data of each service type at different time, so that the health degree of a single service type can be visually and specifically analyzed, and on the basis, the health degree of the car networking service can be calculated based on the weight information corresponding to each service type and the health degree value of each service type, so that the health degree analysis of the car networking service is realized.
In an alternative implementation manner of this embodiment, as shown in fig. 4, as a possible implementation manner, the foregoing step S300 may be specifically implemented by:
step S400: and determining the total operation time length and the fault time length of the service type according to the operation data of the service type at different times.
Step S410: and determining the service availability of the corresponding service type according to the total operation duration and the fault duration of the service type.
Step S420: and calculating the health value of the corresponding service type according to the service availability of the service type.
In step S400, the operation data of each service type at different times includes interface operation state information of each service type, where the interface operation state information includes reception failure or reception success, and therefore, the present solution may determine the total operation time length of the service type and the fault time length by using the interface operation state information of the sister service type, where the fault time length is the time length of the reception failure of the interface, and the total operation time length is the total time length when the operation data of different times is received.
In step S410, the present solution may determine the service availability of the corresponding service type according to the total operation duration and the failure duration of the service type. Specifically, the service availability can be calculated according to the following formula: service availability (total length of operation-length of failure)/total length of operation 100%.
On the basis, the scheme can calculate the health degree value of the corresponding service type according to the service availability corresponding to each service type. As a possible implementation manner, the present solution may calculate the health value of the corresponding service type according to the service availability, for example, the present solution may multiply the service availability by 100 as the health value of the corresponding service type, and in particular, if the service availability of the order payment service is 80%, the service availability may be multiplied by 100 as the health value of the order payment service, so as to obtain the health value of the order payment service of 80 points.
As another possible implementation manner, the present solution may not only calculate the health value of the corresponding service type according to one factor of the service availability, but also calculate the health value of the corresponding service type by combining the service availability and the service capability of the corresponding service type, as shown in fig. 5, and specifically includes the following steps:
step S500: and determining the number of service concurrent interfaces corresponding to the service types and the service request processing capacity according to the operation data of the service types at different times.
Step S510: and determining the service capability of the corresponding service type according to the service concurrency number and the service request processing capability of the service type.
Step S520: and calculating the health value of the corresponding service type according to the service capability and the service availability of the service type.
In step S500, the running data of each service type at different time includes the number of interfaces to which each service type is connected and the capability of each service type to process the interface request per second, and on this basis, the present solution can obtain the number of concurrent interfaces that can be borne by the service type according to the number of interfaces to which each service type is connected, and obtain the service request processing capability corresponding to the service type according to the capability of each service type to process the interface request per second.
On the basis, the service capability of the corresponding service type can be determined according to the service concurrency number and the service request processing capability of the service type. Specifically, the more the service concurrency number of the service types is, and the stronger the capability of processing the interface request per second is, the stronger the service capability of the corresponding service type is; conversely, the smaller the number of service concurrencies for a service type and the weaker the ability to process interface requests per second, the weaker the service capability for the corresponding service type is.
According to the scheme, on the basis of determining the service capability of the service type, the service capability and the service availability are combined to calculate the health degree value of the corresponding service type. Specifically, the service capability and the service availability may also occupy different weights, and the product of the weight of the service capability and the service capability is added to the product of the weight of the service availability and the service availability to obtain the health value corresponding to the service type.
In an optional implementation manner of this embodiment, after the health degree of the internet of vehicles service is calculated in step S220, as shown in fig. 6, the method may further include the following steps:
step S600: and judging whether the health degree of the Internet of vehicles service exceeds a set health degree threshold value, if so, turning to the step S610.
Step S610: and issuing an alarm of the health degree of the Internet of vehicles service.
In the steps, after the health degree of the Internet of vehicles service is calculated, whether the health degree exceeds a set health degree threshold value or not can be judged, when the health degree exceeds the set health degree threshold value, the current health degree of the Internet of vehicles service is low, health degree maintenance is needed, and then health degree alarm of the Internet of vehicles service is issued, so that a worker is reminded to perform related maintenance.
It should be noted that, after the health degree value of each service type is calculated by the foregoing method, the present solution may further perform threshold judgment on the health degree value of each service type, and the present solution may further set different alarm manners according to different service types, so as to generate alarms of different levels based on different service types.
In an optional implementation manner of this embodiment, after the step S200 is executed to acquire the aggregated data information, as shown in fig. 7, the method may further include the following steps:
step S700: and predicting the fault occurrence probability of the corresponding service type according to the operation data of each service type at different time through a probability prediction model.
In the above embodiment, the present solution may predict the probability of future fault occurrence of the corresponding service type according to the historical operation data, which is the operation data of each service type at different times, so as to prevent and treat the fault of the corresponding service type in advance. As a possible implementation mode, the scheme can calculate the fault occurrence probability of the corresponding service type based on the running data of each service type at different times and the existing Mann-Kenddall (MK) test algorithm. Besides the MK test algorithm, the probability prediction model can also predict the probability of the fault by adopting any existing prediction algorithm.
Fig. 8 shows a schematic block diagram of the service health analysis device of the car networking system provided by the present application, and it should be understood that the device corresponds to the embodiment of the method performed in fig. 2 to 7, and can perform the steps related to the foregoing method, and the specific functions of the device can be referred to the description above, and the detailed description is appropriately omitted here to avoid repetition. The device includes at least one software function that can be stored in memory in the form of software or firmware (firmware) or solidified in the Operating System (OS) of the device. Specifically, the apparatus includes: an acquisition module 800 and a calculation module 810; an obtaining module 800, configured to obtain aggregated data information, where the aggregated data information includes operation data of each service type in multiple different service types of an internet of vehicles at different time; acquiring weight information corresponding to each service type; and the calculating module 810 is used for calculating the health degree of the car networking service according to the weight information corresponding to each service type and the running data of each service type at different time.
According to the health analysis device for the service of the Internet of vehicles, the aggregation data information and the weight information corresponding to each service type are obtained through the obtaining module, the health degree of the Internet of vehicles service is calculated by utilizing the operation data of each service type in the aggregation data information of the calculating module at different time and the weight information corresponding to each service type, so that the current health condition of the Internet of vehicles service can be visually and specifically analyzed through the calculated health degree, and the actual health condition of the Internet of vehicles service can be accurately reflected.
In an optional implementation manner of this embodiment, the calculating module 810 is specifically configured to calculate a health value of a corresponding service type according to the running data of each service type at different times; and calculating the health degree of the Internet of vehicles service according to the weight information corresponding to each service type and the health degree value of each service type.
In an optional implementation manner of this embodiment, the calculating module 810 is further specifically configured to determine a total operation duration and a fault duration of a corresponding service type according to operation data of the service type at different times; determining the service availability of the corresponding service type according to the total operation duration and the fault duration of the service type; and calculating the health value of the corresponding service type according to the service availability of the service type.
In an optional implementation manner of this embodiment, the calculating module 810 is further specifically configured to determine, according to the operation data of the service types at different times, the number of service concurrent interfaces and the service request processing capability of the corresponding service types; determining the service capability of the corresponding service type according to the service concurrency number and the service request processing capability of the service type; and calculating the health value of the corresponding service type according to the service capability and the service availability of the service type.
In an optional implementation manner of this embodiment, the apparatus further includes a determining module 820, configured to determine whether the health degree of the car networking service exceeds a set health degree threshold; and the warning module 830 is configured to issue a warning of the health degree of the internet of vehicles service after the determining module determines that the health degree of the internet of vehicles service exceeds the set health degree threshold.
In an optional implementation manner of this embodiment, the apparatus further includes a prediction module 840, configured to predict, according to the operation data of each service type at different times, a failure occurrence probability of the corresponding service type through a probability prediction model.
In an optional implementation manner of this embodiment, the obtaining module 800 is specifically configured to periodically collect information of the operation of the car networking service; and performing service type classification and time aggregation on the information of the operation of the Internet of vehicles service to obtain operation data of each service type in multiple different service types at different time so as to obtain aggregated data information.
According to some embodiments of the present application, as shown in fig. 9, the present application provides an electronic device 9 comprising: a processor 901 and a memory 902, the processor 901 and the memory 902 being interconnected and communicating with each other via a communication bus 903 and/or other form of connection mechanism (not shown), the memory 902 storing a computer program executable by the processor 901, the processor 901 executing the computer program when the computing device is running to perform any alternative implementation performing the method, such as the steps S200 to S220: acquiring aggregated data information; acquiring weight information corresponding to each service type; and calculating the health degree of the Internet of vehicles service according to the weight information corresponding to each service type and the operation data of each service type at different time.
The present application provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, performs the method of any of the preceding alternative implementations.
The storage medium may be implemented by any type of volatile or nonvolatile storage device or combination thereof, such as a Static Random Access Memory (SRAM), an Electrically Erasable Programmable Read-Only Memory (EEPROM), an Erasable Programmable Read-Only Memory (EPROM), a Programmable Read-Only Memory (PROM), a Read-Only Memory (ROM), a magnetic Memory, a flash Memory, a magnetic disk, or an optical disk.
The present application provides a computer program product which, when run on a computer, causes the computer to perform the method of any of the alternative implementations.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is only one logical division, and there may be other divisions when actually implemented, and for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of devices or units through some communication interfaces, and may be in an electrical, mechanical or other form.
In addition, units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
Furthermore, the functional modules in the embodiments of the present application may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.
In this document, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions.
The above description is only an example of the present application and is not intended to limit the scope of the present application, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present application shall be included in the protection scope of the present application.
Claims (10)
1. A service health analysis method of a vehicle networking system is characterized by comprising the following steps:
acquiring aggregated data information, wherein the aggregated data information comprises operation data of each service type in multiple different service types of the Internet of vehicles at different time;
acquiring weight information corresponding to each service type; and
and calculating the health degree of the Internet of vehicles service according to the weight information corresponding to each service type and the operation data of each service type at different time.
2. The method according to claim 1, wherein calculating the health of the internet of vehicles service according to the weight information corresponding to each service type and the running data of each service type at different time comprises:
calculating the health value of the corresponding service type according to the running data of each service type at different time; and
and calculating the health degree of the Internet of vehicles service according to the weight information corresponding to each service type and the health degree value of each service type.
3. The method of claim 1, wherein calculating the health value for each service type based on the operational data of each service type at different times comprises:
determining the total operation time length and the fault time length of the corresponding service type according to the operation data of the service type at different times;
determining the service availability of the corresponding service type according to the total operation duration and the fault duration of the service type; and
and calculating the health value of the corresponding service type according to the service availability of the service type.
4. The method of claim 3, wherein calculating the health value of the corresponding service type according to the service availability of the service type comprises:
determining the number of service concurrent interfaces corresponding to the service types and the service request processing capacity according to the operation data of the service types at different times;
determining the service capability of the corresponding service type according to the service concurrency number and the service request processing capability of the service type; and
and calculating the health value of the corresponding service type according to the service capability and the service availability of the service type.
5. The method of claim 1, wherein after calculating the health of the internet of vehicles service according to the weight information corresponding to each service type and the running data of each service type at different time, the method further comprises:
judging whether the health degree of the Internet of vehicles service exceeds a set health degree threshold value or not;
and if so, issuing an alarm of the health degree of the Internet of vehicles service.
6. The method of claim 1, wherein after the obtaining aggregated data information, the method further comprises:
and predicting the fault occurrence probability of the corresponding service type according to the operation data of each service type at different time through a probability prediction model.
7. The method of claim 1, wherein the obtaining aggregated data information comprises:
periodically collecting information of the operation of the Internet of vehicles service; and
and carrying out service type classification and time aggregation on the information of the operation of the Internet of vehicles service to obtain operation data of each service type in a plurality of different service types at different time so as to obtain aggregated data information.
8. The service health analysis device of the Internet of vehicles system is characterized by comprising an acquisition module and a calculation module;
the acquisition module is used for acquiring aggregated data information, and the aggregated data information comprises running data of each service type in multiple different service types of the Internet of vehicles at different time; acquiring weight information corresponding to each service type;
and the calculating module is used for calculating the health degree of the Internet of vehicles service according to the weight information corresponding to each service type and the running data of each service type at different time.
9. An electronic device comprising a memory and a processor, the memory storing a computer program, wherein the processor implements the method of any one of claims 1 to 7 when executing the computer program.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the method of any one of claims 1 to 7.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN118094406A (en) * | 2024-03-07 | 2024-05-28 | 江苏社汇通智能科技有限公司 | Mass public service data identification processing method based on function distribution analysis |
| CN118094406B (en) * | 2024-03-07 | 2024-11-15 | 江苏社汇通智能科技有限公司 | Mass public service data identification processing method based on function distribution analysis |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN118094406A (en) * | 2024-03-07 | 2024-05-28 | 江苏社汇通智能科技有限公司 | Mass public service data identification processing method based on function distribution analysis |
| CN118094406B (en) * | 2024-03-07 | 2024-11-15 | 江苏社汇通智能科技有限公司 | Mass public service data identification processing method based on function distribution analysis |
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