CN116501786A - Vehicle information processing method and device - Google Patents
Vehicle information processing method and device Download PDFInfo
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Abstract
The application relates to the technical field of automobile control, and provides a vehicle information processing method and device. The method comprises the following steps: acquiring an original information message; monitoring analysis configuration information, determining a vehicle type corresponding to the original information message according to the analysis configuration information, and analyzing the original information message according to the vehicle type to obtain analyzed original information; monitoring standardized configuration information, and carrying out standardized processing on the analyzed original information according to the standardized configuration information to obtain standardized information; monitoring analysis configuration information, and analyzing standardized information according to the analysis configuration information to obtain an analysis result; the vehicle information is stored in the corresponding database, respectively, in response to the external data reading request. The method and the device provide configuration information which can be adjusted at any time for processing various information as a processing basis, have extremely high universality, can support various configuration requirements, and can store relevant vehicle information into a corresponding database at the same time, thereby providing support for subsequent data backtracking.
Description
Technical Field
The present disclosure relates to the field of automobile control technologies, and in particular, to a method and an apparatus for processing vehicle information.
Background
With further development of automobile control systems, stability and safety of each part in the automobile control system become the most focused parts of users. Regarding the determination of stability and safety of an automobile control system, a determination mechanism for monitoring a state change in a certain aspect by analyzing vehicle information in an automobile control process for each vehicle type or train is generally customized by the automatic development and design of automobile manufacturers.
The judging mechanism has poor universality, a technician is required to develop specific programs for each type of automobile control system and each application scene respectively, and the requirements on labor cost and time cost are high. And the judging mechanism is difficult to consider all application scenes and all vehicle information, and can not provide sufficient support for troubleshooting and data backtracking of the automobile.
Therefore, how to provide a solution to the above technical problem is a problem that needs to be solved by those skilled in the art.
Disclosure of Invention
In view of this, the embodiments of the present application provide a method and an apparatus for processing vehicle information, so as to solve the problem of poor universality of a data information processing scheme in the prior art.
In a first aspect of an embodiment of the present application, a method for processing vehicle information is provided, including:
acquiring an original information message;
monitoring analysis configuration information, determining a vehicle type corresponding to the original information message according to the analysis configuration information, and analyzing the original information message according to the vehicle type to obtain analyzed original information;
monitoring standardized configuration information, and carrying out standardized processing on the analyzed original information according to the standardized configuration information to obtain standardized information;
monitoring analysis configuration information, and analyzing standardized information according to the analysis configuration information to obtain an analysis result;
storing the vehicle information to corresponding databases respectively to respond to external data reading requests;
the vehicle information comprises one or more of an original information message, analyzed original information, standardized information and analysis results.
In a second aspect of the embodiments of the present application, there is provided a processing apparatus for vehicle information, including:
the acquisition module is used for acquiring the original information message;
the analysis module is used for monitoring analysis configuration information, determining the vehicle type corresponding to the original information message according to the analysis configuration information, and analyzing the original information message according to the vehicle type to obtain analyzed original information;
the standardized module is used for monitoring the standardized configuration information, and carrying out standardized processing on the analyzed original information according to the standardized configuration information to obtain standardized information;
the analysis module is used for monitoring analysis configuration information, analyzing standardized information according to the analysis configuration information and obtaining an analysis result;
the storage module is used for respectively storing the vehicle information into the corresponding database so as to respond to an external data reading request;
the vehicle information comprises one or more of an original information message, analyzed original information, standardized information and analysis results.
In a third aspect of the embodiments of the present application, there is provided an electronic device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, the processor implementing the steps of the above method when executing the computer program.
In a fourth aspect of the embodiments of the present application, there is provided a computer readable storage medium storing a computer program which, when executed by a processor, implements the steps of the above method.
Compared with the prior art, the beneficial effects of the embodiment of the application at least comprise: according to the method and the device, the information processing flow from the original information message to the analyzed original information, the standardized information and the analysis result is set, the configuration information which can be adjusted at any time is provided for processing of various information to serve as a processing base, the method and the device have extremely high universality, various configuration requirements can be supported, the information processing scheme of a specific scene does not need to be independently developed, meanwhile, relevant vehicle information can be stored in a corresponding database, and support is provided for subsequent data backtracking.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following description will briefly introduce the drawings that are needed in the embodiments or the description of the prior art, it is obvious that the drawings in the following description are only some embodiments of the present application, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic view of an application scenario according to an embodiment of the present application;
fig. 2 is a flow chart of a method for processing vehicle information according to an embodiment of the present application;
fig. 3 is a flowchart of a specific vehicle information processing method according to an embodiment of the present application;
fig. 4 is a schematic structural view of a processing device for further vehicle information provided in the embodiment of the present application;
fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
In the following description, for purposes of explanation and not limitation, specific details are set forth, such as particular system configurations, techniques, etc. in order to provide a thorough understanding of the embodiments of the present application. It will be apparent, however, to one skilled in the art that the present application may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present application with unnecessary detail.
A method and apparatus for processing vehicle information according to embodiments of the present application will be described in detail below with reference to the accompanying drawings.
Fig. 1 is a schematic view of an application scenario according to an embodiment of the present application. The application scenario may include terminal devices 101, 102, and 103, server 104, and network 105.
The terminal devices 101, 102, and 103 may be hardware or software. When the terminal devices 101, 102, and 103 are hardware, they may be various electronic devices that output raw information messages characterizing the vehicle state, support communication with the server 104, including, but not limited to, a vehicle cloud platform, a TBOX module built into the vehicle, etc.; when the terminal devices 101, 102, and 103 are software, they may be installed in the electronic device as described above. The terminal devices 101, 102 and 103 may be implemented as a plurality of software or software modules, or may be implemented as a single software or software module, which is not limited in this embodiment of the present application.
The server 104 may be a server that provides various services, for example, a background server that receives a request transmitted from a terminal device with which communication connection is established, and the background server may perform processing such as receiving and analyzing the request transmitted from the terminal device and generate a processing result. The server 104 may be a server, a server cluster formed by a plurality of servers, or a cloud computing service center, which is not limited in this embodiment of the present application.
The server 104 may be hardware or software. When the server 104 is hardware, it may be various electronic devices that provide various services to the terminal devices 101, 102, and 103. When the server 104 is software, it may be a plurality of software or software modules providing various services to the terminal devices 101, 102, and 103, or may be a single software or software module providing various services to the terminal devices 101, 102, and 103, which is not limited in the embodiment of the present application.
The network 105 may be a wired network using coaxial cable, twisted pair and optical fiber connection, or may be a wireless network that can implement interconnection of various communication devices without wiring, for example, bluetooth (Bluetooth), near field communication (Near Field Communication, NFC), infrared (Infrared), etc., which is not limited in the embodiment of the present application.
It should be noted that the specific types, numbers and combinations of the terminal devices 101, 102 and 103, the server 104 and the network 105 may be adjusted according to the actual requirements of the application scenario, which is not limited in the embodiment of the present application.
Fig. 2 is a flowchart of a method for processing vehicle information according to an embodiment of the present application. The processing method of the vehicle information of fig. 2 may be performed by the server of fig. 1. As shown in fig. 2, the vehicle information processing method includes:
s201: acquiring an original information message;
s202: monitoring analysis configuration information, determining a vehicle type corresponding to the original information message according to the analysis configuration information, and analyzing the original information message according to the vehicle type to obtain analyzed original information;
s203: monitoring standardized configuration information, and carrying out standardized processing on the analyzed original information according to the standardized configuration information to obtain standardized information;
s204: monitoring analysis configuration information, and analyzing standardized information according to the analysis configuration information to obtain an analysis result;
s205: storing the vehicle information to corresponding databases respectively to respond to external data reading requests;
the vehicle information comprises one or more of an original information message, analyzed original information, standardized information and analysis results.
The original information message is forwarded to a server by other systems such as a vehicle cloud platform or the vehicle is reported to the server through a built-in TBOX module, wherein the original information message is usually a CAN (Controller Area Network ) bus message, the obtained original information message is in a message queue such as kafka, the message format comprises a key of a target topic and a message content value, the key is a unique identification of the original information message vehicle such as a vehicle frame number, and the key CAN be used for determining the vehicle type corresponding to each original information message and is a CAN original message of 16 scale.
Inquiring a cache such as a Redis database or calling a background service interface according to a key value in an original information message to determine the type of the vehicle to which the original information message belongs; the DBC file (Database CAN file) of the corresponding analysis CAN message of the vehicle systems of various vehicle types is preset in the current analysis configuration information, the corresponding analysis configuration information is called according to the vehicle type to analyze the original information message, the analyzed original information CAN be obtained, and then the analyzed original information CAN be packaged into a unified object to be sent to a message queue.
The standardized configuration information configures the mapping relation between the analyzed original information and the standardized information of various vehicle types through script language codes, and the script language codes can be JavaScript/grosvy. And carrying out standardization processing on the analyzed original information according to the current standardized configuration information, wherein the obtained standardization information comprises standardized model names and signal values, and the standardization information can be uniformly packaged into an expandable json object and sent to a message queue.
The analysis configuration information configures an analysis algorithm for the standardized information, wherein the analysis algorithm comprises real-time analysis and off-line analysis, and specifically, the analysis configuration information comprises one or more of real-time monitoring configuration information and off-line number bin layering configuration information.
When the analysis configuration information includes real-time monitoring configuration information, monitoring the analysis configuration information, analyzing standardized information according to the analysis configuration information, and obtaining an analysis result, the process includes:
monitoring the real-time monitoring configuration information, and analyzing the standardized information according to a real-time monitoring algorithm corresponding to the real-time monitoring configuration information to obtain a real-time monitoring analysis result.
The real-time monitoring configuration information can be set according to the user requirements, specific monitoring objects and monitoring conditions can be adjusted according to actual working conditions, the power battery of the vehicle is taken as the monitoring object, related monitoring alarms are taken as an example, and the real-time monitoring algorithm can comprise one or more of a battery cell overvoltage algorithm, a battery cell overcurrent algorithm, a battery cell voltage outlier algorithm and a thermal runaway early warning algorithm.
Taking the cell overvoltage algorithm as an example, the control logic may include: obtaining battery cell voltage data (one power battery is provided with a plurality of battery cells) corresponding to each vehicle in a standardized signal of a message queue, wherein the data is in a structure of a plurality of groups, and each element in the plurality of groups is the voltage of each battery cell, such as [3.123,3.456,4.231,4.234, … … ]; filtering out data with the monomer voltage not less than 4.8V or the monomer voltage not more than 1.0V, wherein the step is also called dirty data filtering; acquiring a voltage threshold value, such as a 4.4V overvoltage frequency threshold value, such as 5 times, of an alarm generated in the monitoring configuration information; calculating the highest voltages of all battery monomers of the same battery; calculating the number of data pieces with the highest voltage of the battery cells in the same battery being greater than or equal to the threshold voltage; and when the number of the data is greater than or equal to the number of the overvoltage times, judging that the overvoltage alarm is triggered.
After the standardized information is analyzed by the real-time monitoring algorithm, the finally generated real-time monitoring analysis result comprises detail data information and algorithm alarm data.
When the analysis configuration information comprises offline multi-bin layered configuration information, monitoring the analysis configuration information, and analyzing standardized information according to the analysis configuration information to obtain an analysis result, the method comprises the following steps:
monitoring the offline multi-bin layering configuration information, and carrying out layering service analysis on the standardized information through the offline multi-bin according to the offline multi-bin layering configuration information to obtain an offline service analysis result.
Based on the methodology of the offline data bin modeling according to the paradigm modeling, the offline data bin may be divided into a data paste source layer (Operational Data Store, ODS), a data detail layer (Data Warehouse Detail, DWD), a data service layer (Data Warehouse Servce, DWS) and a data topic layer (Data Warehouse Topic, DWT), and the standardized information in the message queue is pulled to the data paste source layer by a real-time processing program such as a flink program for subsequent operations, where the object of the hierarchical service analysis is not all the standardized information, but the corresponding signal fields in the hierarchical configuration information of the offline data bin.
Specifically, the process of carrying out layering business analysis on the standardized information through the offline number bin according to the offline number bin layering configuration information to obtain an offline business analysis result comprises the following steps:
storing standardized information to a data paste source layer of the offline number bin according to the offline number bin layering configuration information;
preprocessing standardized information of the data paste source layer according to a first preset processing period, and writing the preprocessed standardized information into a data detail layer of an offline data bin; preprocessing comprises one or more of data cleaning, data filtering and data conversion;
according to a second preset processing period, summarizing and aggregating the standardized information of the data detail layer, and writing the standardized information into a data service layer of an offline data bin;
according to a third preset processing period, carrying out statistical analysis on the standardized information of the data service layer, and writing the standardized information into a data subject layer of an offline data bin;
and determining an offline service analysis result in the standardized information of the data topic layer.
When information is written into each layer of the offline digital bin, the information is partitioned according to time, such as date, and the action is executed according to a specific time period, wherein the first preset processing period, the second preset processing period and the third preset processing period can be all set to be 1 day, namely, the operation is executed once a day. The above operations may be performed by SQL script statements.
In the processing process of the vehicle information, the configuration information needs to be monitored, because the analysis configuration information, the standardization configuration information and the analysis configuration information can be set and updated according to the actual requirements and the working conditions, the processing method needs to monitor the current latest configuration information continuously when executing each step, and accordingly corresponding actions are executed according to the latest configuration information. Therefore, the method of the embodiment of the application further comprises the following steps: receiving a configuration instruction, and updating corresponding configuration information according to the configuration instruction; the configuration information includes one or more of parsing configuration information, normalizing configuration information, analyzing configuration information.
Accordingly, the process of storing the vehicle information in the corresponding database in step S203 includes:
storing the original information message to an object storage database;
storing the analyzed original information into an object storage database and a time sequence database;
storing the standardized information into an offline data bin;
and storing the analysis result into a relational database.
The original information message is stored in the object storage database for data backup and cold data export, and the storage content can comprise: frame number, message creation time, message partition and offset, original 16-system message, storage format is column storage such as parquet and compression using conventional compression algorithm such as GZIP.
The analyzed original information does not need to be stored in a full range, and the filtering configuration information can be preset to realize the storage of the residual target information after the information is filtered, so that the analyzed original information is stored in an object storage database and a time sequence database, and the method comprises the following steps:
and monitoring the filtering configuration information, filtering the analyzed original information according to the filtering configuration information, and storing the filtered original information into an object storage database and a time sequence database.
The analyzed original information stored in the time sequence database is used as signal detail heat data, time and frame number are used as data indexes, and expiration strategies, such as an expiration date of 7 days or 30 days, are required to be set for the part of data. The analyzed original information stored in the object storage database is used as cold data, the date of storage is used as a primary partition basis, and the frame number is used as a secondary partition basis for offline downloading.
And the analysis results, such as the offline business analysis results and the real-time monitoring analysis results, are stored in a relational database, the relational database is also used as a data application layer (Application Data Store, ADS) of the offline data bin, and the analysis results are exported to the relational database by an offline synchronization tool or SQL script.
The arrangement of carrying out cold and hot layering treatment on different databases is set, and different types of data and the application of the data are aimed at, so that different requirements on the data, such as data analysis, data inquiry, data export and the like, are met.
The system user puts forward an external data reading request through the front-end portal and the back-end service, and the embodiment provides external big data unified data service, including data query service and offline data export service, so as to respond to the external data reading request. The data query service can directly query data in the relational database and the time sequence database through SQL codes, and the offline data export service can asynchronously export cold data in the object storage database.
The specific processing flow for the vehicle information described above may be described with reference to fig. 3. The vehicle cloud platform CAN message and the CAN original message are both original information messages, the analyzed original signals are the analyzed original information, and the standardized signals are the standardized information; the self-defined DBC configuration information corresponds to the analysis configuration information, the self-defined standardized configuration information reads the standardized configuration information, and the self-defined storage signal filtering configuration corresponds to the filtering configuration information; the message real-time analysis program is used for executing the step S202, the signal standardization program is used for executing the step S203, the real-time monitoring alarm program is used for executing the real-time monitoring algorithm analysis of the standardized information, and the original storage program, the analyzed original signal storage program and the standardized signal storage program are all used for executing the step S205 to store the vehicle information.
According to the method and the device, the information processing flow from the original information message to the analyzed original information, the standardized information and the analysis result is set, the configuration information which can be adjusted at any time is provided for processing of various information to serve as a processing base, the method and the device have extremely high universality, various configuration requirements can be supported, the information processing scheme of a specific scene does not need to be independently developed, meanwhile, relevant vehicle information can be stored in a corresponding database, and support is provided for subsequent data backtracking.
Any combination of the above optional solutions may be adopted to form an optional embodiment of the present application, which is not described herein in detail. It should be understood that the sequence number of each step in the foregoing embodiment does not mean that the execution sequence of each process should be determined by the function and the internal logic of each process, and should not limit the implementation process of the embodiment of the present application in any way.
The following are device embodiments of the present application, which may be used to perform method embodiments of the present application. For details not disclosed in the device embodiments of the present application, please refer to the method embodiments of the present application.
Fig. 4 is a schematic diagram of a processing device for vehicle information provided in an embodiment of the present application. As shown in fig. 4, the processing apparatus includes:
an obtaining module 401, configured to obtain an original information packet;
the parsing module 402 is configured to monitor parsing configuration information, determine a vehicle type corresponding to the original information message according to the parsing configuration information, parse the original information message according to the vehicle type, and obtain parsed original information;
the normalization module 403 is configured to monitor the normalized configuration information, and perform normalization processing on the parsed original information according to the normalized configuration information to obtain normalized information;
the analysis module 404 is configured to monitor analysis configuration information, analyze standardized information according to the analysis configuration information, and obtain an analysis result;
a storage module 405, configured to store vehicle information in corresponding databases respectively, in response to an external data reading request;
the vehicle information comprises one or more of an original information message, analyzed original information, standardized information and analysis results.
According to the method and the device, the information processing flow from the original information message to the analyzed original information, the standardized information and the analysis result is set, the configuration information which can be adjusted at any time is provided for processing of various information to serve as a processing base, the method and the device have extremely high universality, various configuration requirements can be supported, the information processing scheme of a specific scene does not need to be independently developed, meanwhile, relevant vehicle information can be stored in a corresponding database, and support is provided for subsequent data backtracking.
In some specific embodiments, the process of storing the vehicle information in the corresponding database includes:
storing the original information message to an object storage database;
storing the analyzed original information into an object storage database and a time sequence database;
storing the standardized information into an offline data bin;
and storing the analysis result into a relational database.
In some specific embodiments, storing the parsed raw information into an object store database and a time sequence database includes:
and monitoring the filtering configuration information, filtering the analyzed original information according to the filtering configuration information, and storing the filtered original information into an object storage database and a time sequence database.
In some specific embodiments, analyzing the configuration information includes monitoring one or more of the configuration information in real-time and offline multi-bin hierarchical configuration information;
when the analysis configuration information includes real-time monitoring configuration information, monitoring the analysis configuration information, analyzing standardized information according to the analysis configuration information, and obtaining an analysis result, the process includes:
monitoring the real-time monitoring configuration information, and analyzing standardized information according to a real-time monitoring algorithm corresponding to the real-time monitoring configuration information to obtain a real-time monitoring analysis result;
when the analysis configuration information comprises offline multi-bin layered configuration information, monitoring the analysis configuration information, and analyzing standardized information according to the analysis configuration information to obtain an analysis result, the method comprises the following steps:
monitoring the offline multi-bin layering configuration information, and carrying out layering service analysis on the standardized information through the offline multi-bin according to the offline multi-bin layering configuration information to obtain an offline service analysis result.
In some specific embodiments, the process of performing hierarchical service analysis on the standardized information through the offline data bin according to the offline data bin hierarchical configuration information to obtain an offline service analysis result includes:
storing standardized information to a data paste source layer of the offline number bin according to the offline number bin layering configuration information;
preprocessing standardized information of the data paste source layer according to a first preset processing period, and writing the preprocessed standardized information into a data detail layer of an offline data bin; preprocessing comprises one or more of data cleaning, data filtering and data conversion;
according to a second preset processing period, summarizing and aggregating the standardized information of the data detail layer, and writing the standardized information into a data service layer of an offline data bin;
according to a third preset processing period, carrying out statistical analysis on the standardized information of the data service layer, and writing the standardized information into a data subject layer of an offline data bin;
and determining an offline service analysis result in the standardized information of the data topic layer.
In some specific embodiments, the real-time monitoring algorithm includes one or more of a cell over-voltage algorithm, a cell over-current algorithm, a cell voltage outlier algorithm, and a thermal runaway warning algorithm.
In some specific embodiments, the processing device further comprises:
a configuration module 406, configured to receive a configuration instruction, and update corresponding configuration information according to the configuration instruction;
the configuration information includes one or more of parsing configuration information, normalizing configuration information, analyzing configuration information.
Fig. 5 is a schematic diagram of an electronic device 5 provided in an embodiment of the present application. As shown in fig. 5, the electronic apparatus 5 of this embodiment includes: a processor 501, a memory 502 and a computer program 503 stored in the memory 502 and executable on the processor 501. The steps of the various method embodiments described above are implemented by processor 501 when executing computer program 503. Alternatively, the processor 501, when executing the computer program 503, performs the functions of the modules/units in the above-described apparatus embodiments.
The electronic device 5 may be a desktop computer, a notebook computer, a palm computer, a cloud server, or the like. The electronic device 5 may include, but is not limited to, a processor 501 and a memory 502. It will be appreciated by those skilled in the art that fig. 5 is merely an example of the electronic device 5 and is not limiting of the electronic device 5 and may include more or fewer components than shown, or different components.
The processor 501 may be a central processing unit (Central Processing Unit, CPU) or other general purpose processor, digital signal processor (Digital Signal Processor, DSP), application specific integrated circuit (Application Specific Integrated Circuit, ASIC), field programmable gate array (Field-Programmable Gate Array, FPGA) or other programmable logic device, discrete gate or transistor logic device, discrete hardware components, or the like.
The memory 502 may be an internal storage unit of the electronic device 5, for example, a hard disk or a memory of the electronic device 5. The memory 502 may also be an external storage device of the electronic device 5, for example, a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash Card (Flash Card) or the like, which are provided on the electronic device 5. Memory 502 may also include both internal storage units and external storage devices of electronic device 5. The memory 502 is used to store computer programs and other programs and data required by the electronic device.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-described division of the functional units and modules is illustrated, and in practical application, the above-described functional distribution may be performed by different functional units and modules according to needs, i.e. the internal structure of the apparatus is divided into different functional units or modules to perform all or part of the above-described functions. The functional units and modules in the embodiment may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit, where the integrated units may be implemented in a form of hardware or a form of a software functional unit.
The integrated modules/units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. Based on such understanding, the present application implements all or part of the flow in the methods of the above embodiments, or may be implemented by a computer program to instruct related hardware, and the computer program may be stored in a computer readable storage medium, where the computer program may implement the steps of the respective method embodiments described above when executed by a processor. The computer program may comprise computer program code, which may be in source code form, object code form, executable file or in some intermediate form, etc. The computer readable storage medium may include: any entity or device capable of carrying computer program code, a recording medium, a U disk, a removable hard disk, a magnetic disk, an optical disk, a computer Memory, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), an electrical carrier signal, a telecommunications signal, a software distribution medium, and so forth. It should be noted that the content of the computer readable storage medium may be appropriately scaled according to the requirements of jurisdictions in which such computer readable storage medium does not include electrical carrier signals and telecommunication signals, for example, according to jurisdictions and patent practices.
The above embodiments are only for illustrating the technical solution of the present application, and are not limiting thereof; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present application, and are intended to be included in the scope of the present application.
Claims (10)
1. A method of processing vehicle information, comprising:
acquiring an original information message;
monitoring analysis configuration information, determining a vehicle type corresponding to the original information message according to the analysis configuration information, and analyzing the original information message according to the vehicle type to obtain analyzed original information;
monitoring standardized configuration information, and carrying out standardized processing on the parsed original information according to the standardized configuration information to obtain standardized information;
monitoring analysis configuration information, and analyzing the standardized information according to the analysis configuration information to obtain an analysis result;
storing the vehicle information to corresponding databases respectively to respond to external data reading requests;
the vehicle information comprises one or more of the original information message, the analyzed original information, the standardized information and the analysis result.
2. The processing method according to claim 1, wherein the process of storing the vehicle information in the corresponding database, respectively, includes:
storing the original information message to an object storage database;
storing the parsed original information to the object storage database and the time sequence database;
storing the standardized information into an offline digital bin;
and storing the analysis result into a relational database.
3. The processing method according to claim 2, wherein storing the parsed raw information into the object storage database and the time series database comprises:
and monitoring filtering configuration information, filtering the analyzed original information according to the filtering configuration information, and storing the filtered original information into the object storage database and the time sequence database.
4. The processing method of claim 1, wherein the analysis configuration information includes one or more of real-time monitoring configuration information and offline bin layering configuration information;
when the analysis configuration information includes the real-time monitoring configuration information, monitoring the analysis configuration information, analyzing the standardized information according to the analysis configuration information, and obtaining an analysis result, the process includes:
monitoring the real-time monitoring configuration information, and analyzing the standardized information according to a real-time monitoring algorithm corresponding to the real-time monitoring configuration information to obtain a real-time monitoring analysis result;
when the analysis configuration information comprises the offline multi-bin layered configuration information, monitoring the analysis configuration information, analyzing the standardized information according to the analysis configuration information, and obtaining an analysis result, wherein the process comprises the following steps:
monitoring the offline bin layering configuration information, and carrying out layering service analysis on the standardized information through the offline bin according to the offline bin layering configuration information to obtain an offline service analysis result.
5. The processing method according to claim 4, wherein the process of performing the hierarchical service analysis on the standardized information through the offline number bin according to the offline number bin hierarchical configuration information to obtain an offline service analysis result includes:
storing the standardized information to a data paste source layer of the offline number bin according to the offline number bin layering configuration information;
preprocessing the standardized information of the data paste source layer according to a first preset processing period, and writing the preprocessed standardized information into a data detail layer of the offline digital bin; the preprocessing comprises one or more of data cleaning, data filtering and data conversion;
according to a second preset processing period, summarizing and aggregating the standardized information of the data detail layer, and writing the standardized information into the data service layer of the offline digital bin;
according to a third preset processing period, carrying out statistical analysis on the standardized information of the data service layer, and writing the standardized information into the data subject layer of the offline digital bin;
and determining the offline service analysis result in the standardized information of the data topic layer.
6. The process of claim 4, wherein the real-time monitoring algorithm comprises one or more of a cell over-voltage algorithm, a cell over-current algorithm, a cell voltage outlier algorithm, and a thermal runaway warning algorithm.
7. The processing method according to any one of claims 1 to 6, characterized by further comprising:
receiving a configuration instruction, and updating corresponding configuration information according to the configuration instruction;
the configuration information includes one or more of the parsing configuration information, the standardized configuration information, and the analysis configuration information.
8. A processing apparatus for vehicle information, comprising:
the acquisition module is used for acquiring the original information message;
the analysis module is used for monitoring analysis configuration information, determining a vehicle type corresponding to the original information message according to the analysis configuration information, and analyzing the original information message according to the vehicle type to obtain analyzed original information;
the standardized module is used for monitoring standardized configuration information, and carrying out standardized processing on the parsed original information according to the standardized configuration information to obtain standardized information;
the analysis module is used for monitoring analysis configuration information, analyzing the standardized information according to the analysis configuration information and obtaining an analysis result;
the storage module is used for respectively storing the vehicle information into the corresponding database so as to respond to an external data reading request;
the vehicle information comprises one or more of the original information message, the analyzed original information, the standardized information and the analysis result.
9. An electronic device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor implements the steps of the method according to any of claims 1 to 7 when the computer program is executed.
10. A computer readable storage medium storing a computer program, characterized in that the computer program when executed by a processor implements the steps of the method according to any one of claims 1 to 7.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202310471564.2A CN116501786A (en) | 2023-04-27 | 2023-04-27 | Vehicle information processing method and device |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202310471564.2A CN116501786A (en) | 2023-04-27 | 2023-04-27 | Vehicle information processing method and device |
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| CN116501786A true CN116501786A (en) | 2023-07-28 |
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| CN202310471564.2A Pending CN116501786A (en) | 2023-04-27 | 2023-04-27 | Vehicle information processing method and device |
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