CN112100239A - Portrait generation method and apparatus for vehicle detection device, server and readable storage medium - Google Patents
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Abstract
The embodiment of the application discloses a method and a device for generating an image of vehicle detection equipment, a server and a computer-readable storage medium; the method and the device can acquire the vehicle detection data detected by the vehicle detection equipment; acquiring a data processing configuration rule, and performing data processing on the vehicle detection data according to the data processing configuration rule to obtain processed vehicle detection data; labeling the processed vehicle detection data to obtain labeled vehicle detection data; and carrying out visual modeling on the labeled vehicle detection data to obtain and display a portrait of the vehicle detection equipment. This scheme can improve the variety that vehicle detection data used, solves among the prior art can't be according to the further adaptation vehicle of vehicle detection data and detect the back problem.
Description
Technical Field
The application relates to the field of vehicle detection, in particular to a method and a device for generating an portrait of vehicle detection equipment, a server and a computer-readable storage medium.
Background
At present, with the continuous development of the automobile aftermarket industrial chain, the automobile market forms a huge and complex market, the automobile is subjected to comprehensive data intelligentization and data centered by the automobile, and information such as automobile intelligent detection, maintenance, parts and the like forms huge data mining application and generates value.
In the existing automobile detection market, the vehicle is often detected only through vehicle detection equipment, and the corresponding problem existing in the vehicle is known according to the single vehicle detection equipment, so that the problem after the vehicle detection cannot be further adapted.
Disclosure of Invention
The embodiment of the application provides a portrait generation method, a portrait generation device, portrait generation equipment and a computer-readable storage medium of vehicle detection equipment, and aims to improve the diversity of vehicle detection data and solve the problem that the vehicle detection cannot be further adapted according to the vehicle detection data in the prior art.
The embodiment of the application provides a portrait generation method for vehicle detection equipment, which comprises the following steps:
acquiring vehicle detection data detected by vehicle detection equipment;
acquiring a data processing configuration rule, and performing data processing on the vehicle detection data according to the data processing configuration rule to obtain processed vehicle detection data;
labeling the processed vehicle detection data to obtain labeled vehicle detection data;
and carrying out visual modeling on the labeled vehicle detection data to obtain and display a portrait of the vehicle detection equipment.
Correspondingly, the embodiment of the present application further provides a vehicle detection device portrait generation apparatus, including:
a first acquisition unit configured to acquire vehicle detection data detected by a vehicle detection device;
the second acquisition unit is used for acquiring a data processing configuration rule and carrying out data processing on the vehicle detection data according to the data processing configuration rule to obtain processed vehicle detection data;
the labeling processing unit is used for performing labeling processing on the processed vehicle detection data to obtain labeled vehicle detection data;
and the modeling unit is used for carrying out visual modeling on the labeled vehicle detection data to obtain and display a portrait of the vehicle detection equipment.
Optionally, in some embodiments, the second obtaining unit includes:
the identification subunit is used for identifying the sensitive data in the vehicle detection data according to the data desensitization rule;
and the desensitization subunit is used for performing data desensitization processing on the sensitive data to obtain vehicle detection data after data processing.
Optionally, in some embodiments, the second obtaining unit further includes:
the importing subunit is used for importing the data processed vehicle detection data into a database;
the deleting subunit is used for deleting the repeated data in the vehicle detection data in the database to obtain the deleted vehicle detection data;
a determining subunit, configured to determine a missing value range of the deleted vehicle detection data;
the supplement subunit is used for supplementing the missing value according to the missing value range to obtain vehicle detection data after supplementing the missing value;
and the consistency processing subunit is used for carrying out consistency processing on the vehicle detection data after the missing value is supplemented to obtain the vehicle detection data after data cleaning.
Optionally, in some embodiments, the second obtaining unit further includes:
and the data conversion subunit is used for performing data conversion on the vehicle detection data after the data cleaning according to the data conversion rule to obtain vehicle detection data with a consistent format.
Optionally, the vehicle detection device representation generating apparatus further includes:
the analysis unit is used for analyzing the health condition of the target vehicle corresponding to the vehicle detection data according to the labeled vehicle detection data;
the first pushing unit is used for pushing vehicle health early warning to a target vehicle according to the health condition analysis result; or pushing a vehicle maintenance scheme to the target vehicle according to the health condition analysis result.
Optionally, the vehicle detection device representation generating apparatus further includes:
a second pushing unit for pushing a vehicle detection suggestion to the target vehicle according to the vehicle detection device representation.
Optionally, the vehicle detection device representation generating apparatus further includes:
and the third pushing unit is used for carrying out predictive maintenance information pushing on the vehicle detection equipment according to the vehicle detection equipment image.
Optionally, the labeling unit includes:
and the giving subunit is used for giving a label corresponding to the processed vehicle detection data according to the attribute of the processed vehicle detection data to obtain the labeled vehicle detection data.
In addition, an embodiment of the present application further provides a vehicle detection device portrait generation device, including: a processor and a memory; the memory stores a plurality of instructions, and the processor loads the instructions stored in the memory to execute the steps in any one of the vehicle detection device representation generation methods provided by the embodiments of the present application.
In addition, a computer-readable storage medium is provided, where the computer-readable storage medium stores a plurality of instructions, and the instructions are suitable for being loaded by a processor to execute the steps in any one of the vehicle detection device representation generation methods provided by the embodiments of the present application.
According to the embodiment of the application, various indexes of the vehicle are detected through the vehicle detection equipment, and vehicle detection data detected by the vehicle detection equipment are obtained; further acquiring a data processing configuration rule, wherein the data processing configuration rule can comprise data desensitization, data cleaning and the like, and then performing data processing on the vehicle detection data according to the data processing configuration rule to acquire processed vehicle detection data; labeling the processed vehicle detection data so as to classify and store the processed vehicle detection data to obtain labeled vehicle detection data; and then, carrying out visual modeling on the labeled vehicle detection data to obtain the portrait of the vehicle detection equipment, thereby comprehensively knowing the condition of the target vehicle corresponding to the vehicle detection equipment and facilitating further vehicle adaptation on the target vehicle.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
FIG. 1 is a schematic diagram of a scene of a portrait generation method for a vehicle detection device according to an embodiment of the present application;
FIG. 2 is a schematic structural diagram of a server provided in an embodiment of the present application;
FIG. 3 is a schematic flow chart of a method for generating a representation of a vehicle detection device according to an embodiment of the present disclosure;
FIG. 4 is a schematic diagram of a method for generating a representation of a vehicle detection device according to an embodiment of the present disclosure;
FIG. 5 is another schematic diagram of a method for generating a representation of a vehicle detection device according to an embodiment of the present disclosure;
FIG. 6 is a system architecture diagram of a representation generation method for a vehicle detection device according to an embodiment of the present application;
FIG. 7a is a schematic structural diagram of an image generating apparatus for a vehicle detecting device according to an embodiment of the present application;
FIG. 7b is a schematic diagram of another configuration of an image generating apparatus for a vehicle detecting device according to an embodiment of the present application;
FIG. 7c is a schematic diagram of another configuration of an image generating apparatus for a vehicle detecting device according to an embodiment of the present application;
FIG. 7d is a schematic diagram of another configuration of an image generating apparatus for a vehicle detecting device according to an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
In the field of vehicle detection, various indices of a vehicle are generally detected by a vehicle detection apparatus. At present, the vehicle is generally detected by a vehicle detection device, and then the health condition of the vehicle is artificially judged according to the detected data. And along with the intelligent development of vehicles, more and more indexes need to be detected, the health condition of the vehicles can be intelligently analyzed based on the detected data, the health condition of the vehicles can be more comprehensively known, and the vehicles can be conveniently adapted.
The vehicle detection equipment can be a tire/brake pad detector, a TPMS tire pressure monitor, an ADAS (advanced driver assistance System) driving assistance detector, a four-wheel positioning detector and the like, so that the condition of a target vehicle corresponding to the vehicle detection equipment is comprehensively known, and vehicle adaptation to the target vehicle is further facilitated.
FIG. 1 illustrates an application scenario of the method and apparatus for generating a representation of a vehicle detection device according to an embodiment of the present invention. The application scenario includes a server 400, a vehicle detection device, and a target vehicle, where the server 400 may be a cloud server, and the like.
The embodiment of the present application further provides a server, as shown in fig. 2, which shows a schematic structural diagram of the server according to the embodiment of the present application, specifically:
in some embodiments, referring to fig. 2, the server may include one or more processors 401 of the processing core, one or more memories 402 of the computer-readable storage medium, a power supply 403, and an input unit 404. Those skilled in the art will appreciate that the server architecture shown in FIG. 2 is not meant to be limiting, and may include more or fewer components than those shown, or some components may be combined, or a different arrangement of components. Wherein:
the processor 401 is a control center of the server, connects various parts of the entire server using various interfaces and lines, and performs various functions of the server and processes data by running or executing software programs and/or modules stored in the memory 402 and calling data stored in the memory 402, thereby performing overall monitoring of the server. Optionally, processor 401 may include one or more processing cores; preferably, the processor 401 may integrate an application processor, which mainly handles operating systems, user interfaces, application programs, etc., and a modem processor, which mainly handles wireless communications. It will be appreciated that the modem processor described above may not be integrated into the processor 401.
The memory 402 may be used to store software programs and modules, and the processor 401 executes various functional applications and data processing by operating the software programs and modules stored in the memory 402. The memory 402 may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application program required by at least one function (such as a sound playing function, an image playing function, etc.), and the like; the storage data area may store data created according to the use of the server, and the like. Further, the memory 402 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid state storage device. Accordingly, the memory 402 may also include a memory controller to provide the processor 401 access to the memory 402.
The server further includes a power supply 403 for supplying power to each component, and preferably, the power supply 403 may be logically connected to the processor 401 through a power management system, so as to implement functions of managing charging, discharging, and power consumption through the power management system. The power supply 403 may also include any component of one or more dc or ac power sources, recharging systems, power failure detection circuitry, power converters or inverters, power status indicators, and the like.
The server may also include an input unit 404, the input unit 404 being operable to receive input numeric or character information and to generate keyboard, mouse, joystick, optical or trackball signal inputs related to user settings and function control.
Although not shown, the server may further include a display unit and the like, which will not be described in detail herein. Specifically, in this embodiment, the processor 401 in the server loads the executable file corresponding to the process of one or more application programs into the memory 402 according to the following instruction, and the processor 401 runs the application program stored in the memory 402, so as to implement detection of various indexes of the vehicle by the vehicle detection device and obtain vehicle detection data detected by the vehicle detection device; further acquiring a data processing configuration rule, wherein the data processing configuration rule can comprise data desensitization, data cleaning and the like, and then performing data processing on the vehicle detection data according to the data processing configuration rule to acquire processed vehicle detection data; labeling the processed vehicle detection data so as to classify and store the processed vehicle detection data to obtain labeled vehicle detection data; and carrying out visual modeling on the labeled vehicle detection data to obtain a vehicle detection equipment portrait.
Specifically, the vehicle detection device is used for detecting a target vehicle, wherein the vehicle detection device may comprise a plurality of devices, for example, a TPMS tire pressure monitor, and is used for detecting the tire pressure of the target vehicle; and the four-wheel positioning detector is used for detecting four-wheel positioning of the target vehicle and the like. Before or after the vehicle detection device detects the target vehicle, communication is established with the server through a wireless network, then the vehicle detection device sends the detected vehicle detection data to the server according to a data acquisition request sent by the server, and after the server obtains the vehicle detection data, the server further obtains a data processing configuration rule and performs data processing on the vehicle detection data according to the data processing configuration rule to obtain the processed vehicle detection data. Labeling the processed vehicle detection data so as to classify the processed vehicle detection data to obtain labeled vehicle detection data; and finally, carrying out visual modeling on the labeled vehicle detection data so as to obtain a vehicle detection equipment portrait. After the images of the vehicle detection devices are obtained, the health of the target vehicle can be analyzed according to the vehicle detection devices, so that the health condition of the target vehicle can be comprehensively known. And the server can push the corresponding vehicle maintenance scheme to the target vehicle according to the image of each vehicle detection device, so that each problem of the target vehicle can be accurately adapted. Meanwhile, the use condition of the vehicle detection equipment can be known according to the image of the vehicle detection equipment, so that the vehicle detection equipment can be maintained.
The following are detailed below. It should be noted that the following description of the embodiments is not intended to limit the preferred order of the embodiments.
In the present embodiment, description will be made from the perspective of a vehicle detection apparatus representation generation server, which may be a cloud server or the like.
As shown in fig. 3, a specific flow of the vehicle detection apparatus representation generation method may be as follows:
vehicle detection data detected by a vehicle detection device is acquired 201.
First, the vehicle detection device may include a device for performing smart detection, smart diagnosis, or the like on the target vehicle. Before acquiring the vehicle detection data, the vehicle detection device can establish connection with the server through the IOT network so as to perform data transmission, thereby acquiring the vehicle detection data obtained by detecting the target vehicle by the vehicle detection device. Wherein the vehicle detection data may include: business data, namely digitalized detection data and diagnosis data detected by vehicle detection equipment; detecting equipment behavior data of the vehicle; dotting data used by a user and generated by the application APP of the vehicle detection equipment; log data of the running of the vehicle detection equipment, for example, when the vehicle detection equipment is a tire/brake pad detector, the tire/brake pad detector detects the condition of the tire/brake pad of a target vehicle, and then sends the condition of the tire/brake pad of the target vehicle, behavior data of the tire/brake pad detector, log data generated by the running of the tire/brake pad detector and dotting data generated by the tire/brake pad detector by using APP and used by a user to a server; when the vehicle detection device is a TPMS tire pressure monitor, the TPMS tire pressure monitor sends the detected tire pressure condition of the target vehicle, the behavior data of the TPMS tire pressure monitor, the log data generated by the operation of the TPMS tire pressure monitor, and the dotting data generated by the TPMS tire pressure monitor and applied by APP and used by the user to the server, etc., that is, in addition to the detection condition corresponding to the vehicle detection device, the operation log of the vehicle detection device, the behavior data of the vehicle detection device, the dotting data generated by the APP and used by the user, etc. are further sent, for example, the usage area, the holding amount of the current vehicle detection device, the device model of the vehicle detection device, the usage duration and frequency of the vehicle detection device, the diagnostic software corresponding to the vehicle detection device, the usage frequency of each target vehicle type, the frequency of error reporting of the vehicle detection device, and the error reporting mode, The frequency of abnormality occurrence in the vehicle detection apparatus hardware, etc., so as to comprehensively analyze the conditions of the target vehicle and the vehicle detection apparatus. In the process of sending the vehicle detection data, the vehicle detection data can be encrypted firstly and then transmitted, so that data leakage is prevented, and the safety of data transmission is improved. In the transmission process, data transmission monitoring can be further carried out, and the situations that data transmission fails due to interruption in the transmission process and the like are prevented. The vehicle detection device behavior data may include the data in table one, among others.
Watch 1
202, acquiring a data processing configuration rule, and performing data processing on the vehicle detection data according to the data processing configuration rule to obtain processed vehicle detection data.
The data processing configuration rule may include a plurality of data processing rules and a processing sequence of the corresponding data processing rules, for example, the data processing rule may include data desensitization or data decryption, data cleaning, data conversion, data tagging, and the like. The data processing sequence can be that firstly, the vehicle detection data is subjected to data desensitization or decryption, then the data is washed, then the data is converted, and finally the data labeling processing is carried out so as to process the vehicle detection data.
Specifically, when the data processing configuration rule includes a data desensitization rule, the performing data processing on the vehicle detection data according to the data processing configuration rule, and obtaining processed vehicle detection data may include:
a1, identifying sensitive data in the vehicle detection data according to the data desensitization rule;
and A2, carrying out data desensitization treatment on the sensitive data to obtain vehicle detection data after data processing.
The data desensitization rule may include a sensitive word obtaining rule, a data deformation rule, and the like. The sensitive word rule may be specifically set in combination with target vehicle information according to a type of the vehicle detection device, for example, information such as owner information and a specific license plate number corresponding to the target vehicle may be set as the sensitive information, and when the vehicle detection device is a photographing device, a photographed image including the specific information of the target vehicle, for example, when the license plate number or the owner of the vehicle is photographed, may also be set as the sensitive information. Sensitive data in the vehicle detection data are then identified according to a data desensitization rule, such as specific information of an owner corresponding to the target vehicle and a picture including a person and a license plate number are identified as the sensitive information. And then carrying out data desensitization on the sensitive data to obtain vehicle detection data after data desensitization. The specific data desensitization processing may include deforming sensitive information, and specifically may employ a script to deform the sensitive information, for example, by acquiring a code or a script, and performing an operation to implement desensitization deformation of data, for example: and replacing the information such as the name, the identity card number and the like in the sensitive information with the randomly arranged false name and the identity card number or randomly changing one address into another address by running the script.
In the actual desensitization process, either static desensitization or dynamic desensitization can be used depending on the specific desensitization requirements. The static desensitization is suitable for extracting data out of a production environment, desensitizing the production environment, and distributing the desensitized data to scenes such as testing, development, training, data analysis and the like. Specifically, data is extracted, desensitized and then sent to a desensitization library. Other desensitization data can be taken at will and read and written, and the desensitized data are isolated from the production environment, so that the safety of the production data is guaranteed while the business requirements are met.
The principle of static desensitization is that data mask scrambling is carried out aiming at different data types directly through a plurality of desensitization algorithms such as shielding, deformation, replacement, random, Format Preserving Encryption (FPE) and strong encryption algorithm (such as AES), and desensitized data can be loaded into different environments according to user requirements. Static desensitization can provide different loading modes of file to file, file to database, database to file, and the like. The derived data is stored in the external storage medium in a desensitized form, in effect already changing the stored data content.
And the dynamic desensitization is suitable for real-time desensitization on the query and calling results of sensitive data without departing from the production environment. The principle is to perform real-time desensitization processing on data returned by the production library.
Dynamic desensitization matches desensitization conditions by accurate parsing SQL statements, for example: and accessing IP, MAC, database users, client tools, operating system users, host names, time, influencing line numbers and the like, and rewriting query SQL after successful matching or intercepting protection to return desensitized data to an application terminal, thereby realizing desensitization of sensitive data. In fact, the data stored in the production library has not changed any more.
Further, the data processing configuration rule further includes a data cleaning rule, after the vehicle detection data after data processing is obtained, the data processing is performed on the vehicle detection data according to the data processing configuration rule, and the obtaining of the processed vehicle detection data further includes:
b1, importing the vehicle detection data after the data processing into a database;
b2, deleting repeated data in the vehicle detection data in the database to obtain deleted vehicle detection data;
b3, determining the missing value range of the deleted vehicle detection data;
b4, supplementing missing values according to the missing value range to obtain vehicle detection data after supplementing the missing values;
and B5, carrying out consistency processing on the vehicle detection data after the missing value is supplemented, and obtaining the vehicle detection data after data cleaning.
When the data processing configuration rule further comprises data cleaning, the vehicle detection data after data processing is imported into the database so as to search repeated data in the vehicle detection data after data processing through the database, and then the repeated vehicle detection data is deleted and only one item is reserved. And then determining missing values and corresponding missing value ranges in the vehicle detection data after the duplicate items are deleted, and judging whether missing value supplement can be performed, if the missing value supplement condition is met, performing missing value supplement, for example, when some items of different items detected by the same target vehicle in the same time period lack a detection region, the missing detection region can be supplemented by other detection items. If the missing value supplement condition is not met, the vehicle detection data which cannot be supplemented with the missing value is deleted. For example, the vehicle detection data only includes detection data, and does not include information of a corresponding target vehicle, and it is impossible to determine which vehicle the detected data belongs to, and when pushing a vehicle maintenance plan, the pushing cannot be performed, and at this time, the detection data lacking the vehicle information may be deleted. And then, carrying out consistency processing on the vehicle detection data after the missing values are supplemented, namely uniformly describing the data of the same type, such as detection time, and uniformly describing half hour and the like as description of minute, so that the vehicle detection data after data cleaning can be obtained.
Further, the data processing configuration rule further includes a data conversion rule, after the vehicle detection data after the missing value is supplemented is subjected to the unification processing to obtain the vehicle detection data after the data cleaning, the data processing is performed on the vehicle detection data according to the data processing configuration rule, and the obtaining of the processed vehicle detection data further includes:
and C1, performing data conversion on the vehicle detection data after data cleaning according to the data conversion rule to obtain vehicle detection data with consistent format.
When the data processing configuration rule further includes a data conversion rule, first, a data conversion rule is obtained, for example, data types of numerical classes are all converted into numerical types, the same detection data of the same target vehicle are grouped, for example, detection data of tire pressures of the same target vehicle are set to the same group, and then, data conversion is performed on the vehicle detection data after data cleaning according to the data conversion rule, so that vehicle detection data with a consistent format is obtained, wherein the specific format may include a data format, specific detected items, corresponding target vehicles and the like.
And 203, performing labeling processing on the processed vehicle detection data to obtain labeled vehicle detection data.
After the vehicle detection data is processed, labeling processing can be performed, specifically, the corresponding label rules can be obtained through connection with a label rule database, and labels corresponding to the processed vehicle detection data are given according to attributes of the processed vehicle detection data, so that the vehicle detection data is labeled.
That is, the labeling the processed vehicle detection data to obtain labeled vehicle detection data may include:
and D1, according to the attribute of the processed vehicle detection data, giving a label corresponding to the processed vehicle detection data to obtain the labeled vehicle detection data.
And connecting the label rule database to obtain a corresponding label rule, obtaining a label corresponding to the attribute in the label rule database according to the attribute of the processed vehicle detection data, giving the label corresponding to the processed vehicle detection data, and performing labeling processing on the vehicle detection data.
For example, if the vehicle detection data specifically belongs to data of a target vehicle detected by the vehicle detection device within a certain period of time, and the attribute is the corresponding target vehicle, a tag corresponding to the target vehicle is searched in the tag rule database, and the tag corresponding to the vehicle detection data is given. Or specific data of the detected target vehicle, such as tire pressure data, four-wheel positioning data and the like, the attribute is corresponding specific data, a label corresponding to the specific data is searched in the label rule database, and a label corresponding to the vehicle detection data is given.
And 204, carrying out visual modeling on the labeled vehicle detection data to obtain a vehicle detection equipment portrait.
The method comprises the steps of carrying out visual modeling on labeled vehicle detection data, wherein visual preprocessing is further carried out before specific visual modeling, namely a visual model is obtained, then a model interface is applied, and a data application model is obtained through the model interface, namely a rule that the vehicle detection data are placed in the data visual model, and the rule specifically comprises a static rule, a dynamic rule and the like. The vehicle detection equipment portrait can be obtained by carrying out visual modeling according to the visual model and the data application model, namely placing vehicle detection data into the visual model according to the corresponding data placement rule.
Further, after the labeling processing is performed on the processed vehicle detection data to obtain labeled vehicle detection data, the method may further include:
e1, analyzing the health condition of the target vehicle corresponding to the vehicle detection data according to the labeled vehicle detection data;
e2, pushing a vehicle health early warning to a target vehicle according to the health condition analysis result;
e3, or pushing a vehicle maintenance scheme to the target vehicle according to the result of the health condition analysis.
Firstly, the health condition of the target vehicle corresponding to the vehicle detection data can be analyzed according to the labeled vehicle detection data, for example, the dynamic property of the target vehicle can be obtained according to the tire pressure, the loss condition of the brake pad can be obtained according to the brake pad detection data, and then the comprehensive health condition of the target vehicle can be obtained according to various vehicle detection data. Therefore, vehicle health early warning is pushed to the target vehicle according to the analysis result of the health condition, for example, when the brake pad of the target vehicle is seriously damaged, the information of the brake pad early warning is pushed to the target vehicle, or a maintenance scheme is further pushed, for example, a new brake pad is replaced, and the like.
Further, performing visual modeling on the labeled vehicle detection data, and after obtaining the representation of the vehicle detection device, the method further includes:
f1, pushing vehicle detection suggestions to the target vehicle according to the vehicle detection equipment images.
Furthermore, the frequency and the detection time interval of detecting each target vehicle of the vehicle detection equipment can be obtained according to the image of the vehicle detection equipment, then the time detection is carried out, and when the time for detecting a certain target vehicle by the vehicle detection equipment is reached, a detection suggestion is sent to the corresponding target vehicle so as to remind a vehicle owner to detect, the accurate tracking of the target vehicle is realized, and the detection adaptation is carried out on each target vehicle.
Further, the visually modeling the labeled vehicle detection data to obtain the representation of the vehicle detection device further includes:
g1, performing predictive maintenance on the vehicle detection device according to the vehicle detection device image.
Further, after obtaining the vehicle detection device representation, in addition to performing target vehicle adaptation from the vehicle detection device representation, tracking detection may be performed on the vehicle detection device itself from the vehicle detection device. For example, the general service life and the number of times of use of the vehicle detection device are known, and the information of predictive maintenance is sent to the vehicle detection device according to the information such as the specific service time of the current vehicle detection device, so that the service life of the vehicle detection device is prolonged to a certain extent.
According to the method, various indexes of the vehicle are detected through the vehicle detection equipment, and vehicle detection data detected by the vehicle detection equipment are obtained; further acquiring a data processing configuration rule, wherein the data processing configuration rule can comprise data desensitization, data cleaning and the like, and then performing data processing on the vehicle detection data according to the data processing configuration rule to acquire processed vehicle detection data; labeling the processed vehicle detection data so as to classify and store the processed vehicle detection data to obtain labeled vehicle detection data; and then carrying out visual modeling on the labeled vehicle detection data to obtain the portrait of the vehicle detection equipment, thereby comprehensively knowing the condition of the target vehicle corresponding to the vehicle detection equipment and facilitating further vehicle adaptation on the target vehicle.
In order to better implement the method, the embodiment of the present application further provides a scene diagram of a vehicle detection device portrait generation method, as shown in fig. 4 in particular.
S401, vehicle detection data are collected.
The vehicle detection equipment can be connected with the server through the IOT network so as to transmit data, and therefore vehicle detection data obtained by detecting a target vehicle through the vehicle detection equipment are collected. In the data transmission process, in order to ensure data security and reduce transmission time, the data transmission process may include: 1. data encryption for ensuring data transmission safety; 2. data checking to ensure data integrity; 3. data are continuously transmitted at break points, so that the transmission time is saved, and the transmission speed is increased; 4. and transmission monitoring, namely monitoring the data transmission process and ensuring that the data transmission is finished.
Wherein the vehicle detection data may include: business data, namely digitalized detection data and diagnosis data detected by vehicle detection equipment; detecting equipment behavior data of the vehicle; dotting data used by a user and generated by the application APP of the vehicle detection equipment; log data of the running of the vehicle detection equipment, for example, when the vehicle detection equipment is a tire/brake pad detector, the tire/brake pad detector detects the condition of the tire/brake pad of a target vehicle, and then sends the condition of the tire/brake pad of the target vehicle, behavior data of the tire/brake pad detector, log data generated by the running of the tire/brake pad detector and dotting data generated by the tire/brake pad detector by using APP and used by a user to a server; when the vehicle detection device is a TPMS tire pressure monitor, the TPMS tire pressure monitor sends the detected tire pressure condition of the target vehicle, the behavior data of the TPMS tire pressure monitor, the log data generated by the operation of the TPMS tire pressure monitor, and the dotting data generated by the TPMS tire pressure monitor and applied by APP and used by the user to the server, etc., that is, in addition to the detection condition corresponding to the vehicle detection device, the operation log of the vehicle detection device, the behavior data of the vehicle detection device, the dotting data generated by the APP and used by the user, etc. are further sent, for example, the usage area, the holding amount of the current vehicle detection device, the device model of the vehicle detection device, the usage duration and frequency of the vehicle detection device, the diagnostic software corresponding to the vehicle detection device, the usage frequency of each target vehicle type, the frequency of error reporting of the vehicle detection device, and the error reporting mode, The frequency of abnormality occurrence in the vehicle detection apparatus hardware, etc., so as to comprehensively analyze the conditions of the target vehicle and the vehicle detection apparatus. In the process of sending the vehicle detection data, the vehicle detection data can be encrypted firstly and then transmitted, so that data leakage is prevented, and the safety of data transmission is improved. In the transmission process, data transmission monitoring can be further carried out, and the situations that data transmission fails due to interruption in the transmission process and the like are prevented.
And S402, carrying out data processing on the acquired vehicle detection data.
Wherein the processing of the vehicle detection device may include first configuring vehicle detection data processing rules, the specific vehicle detection data processing rules including: data desensitization, data cleaning and data conversion. In the process of processing vehicle detection data, the vehicle process can be monitored in real time.
And S403, performing data management on the vehicle detection data after the data processing.
Vehicle detection data association may include data tagging, data directory association, and data association management. In the management process, data security needs to be further ensured, data is encrypted, data disaster tolerance is performed, a data system in different places is established, and data is copied to prevent data loss.
And S404, performing data analysis on the managed vehicle detection data.
The data analysis can comprise data visualization preprocessing, data application modeling, application model interface and the like, and then data visualization modeling is carried out.
Further, the vehicle detection raw data may be configured, typically in a simple and intuitive XML format, it being understood that XML-based metadata is not the only allowed form of configuration metadata.
In order to better implement the method, the embodiment of the present application further provides a scene diagram of a vehicle detection device representation generation system, as shown in fig. 5 in particular.
The vehicle detection equipment portrait generation system comprises vehicle detection equipment, a cloud server and a user side. The vehicle sensing device may include a variety of devices such as a tire sensing device, a brake sensing device, and the like. The cloud server is used for being connected with the vehicle detection equipment, forwarding the vehicle detection data, forming a data queue of each vehicle detection equipment, and generating and analyzing the vehicle detection equipment according to preset rules. For example, the following functions are realized: the system comprises IoTCore service, message forwarding, message middleware Kafka and vehicle detection equipment management, wherein synchronous data of all equipment are subjected to rule conversion, real-time data and offline calculation through a unified message agent gateway (rule engine), the synchronous data are stored in a data lake, data service is provided to the outside in a Restful interface mode, meanwhile, one-stop equipment management is carried out on equipment connected to a cloud end, and the system can be applied to various scenes such as hierarchical management, monitoring, firmware upgrading and configuration updating of the equipment.
The vehicle detection device can access the cloud server through the SDK, and safe and stable message transmission from the device end to the cloud end and from the cloud end to the device end is achieved through MQTT Internet of things protocol communication.
The user terminal can receive vehicle detection equipment data or images and the like obtained through analysis by the cloud server.
In order to better implement the above method, the embodiment of the present application further provides a system technical architecture diagram of a vehicle detection device representation generation method, as specifically shown in fig. 6.
In the present embodiment, according to the vehicle detection data processing, a system technical architecture diagram including three levels of data processing, large platform data, and data application is constructed so as to implement the above method.
Specifically, the hierarchical division can be adjusted according to actual conditions, and since the application mainly relates to processing of vehicle detection data, storage of metadata, data query and subsequent application, the system technical architecture diagram is divided into three levels of data processing, large platform data and data application.
The data processing layer is specifically used for formulating a label collecting rule and collecting information such as vehicle detection equipment information and vehicle detection equipment behavior information according to the label rule.
The large platform data is specifically used for storing metadata collected by the data processing layer, performing operations such as calculation and processing on the data, generating a vehicle detection device portrait according to calculation and processing results, storing the vehicle detection device, and providing functions such as data interaction query.
The data application layer is particularly used for realizing application and management of data by users, such as data query analysis, vehicle detection equipment portrait management, metadata management and the like.
In order to better implement the above method, the embodiment of the present application further provides a vehicle detection device representation generation apparatus, which can be applied to any machine, such as the server in fig. 1.
For example, as shown in fig. 7a, the vehicle detecting device representation generating apparatus may include a first acquiring unit 701, a second acquiring unit 702, a labeling process 703, and a modeling unit 704, as follows:
(1) a first acquisition unit 701;
a first acquisition unit 701 configured to acquire vehicle detection data detected by the vehicle detection device.
The vehicle detection device can be connected with the server through the IOT network so as to transmit data, and therefore vehicle detection data obtained by detecting the target vehicle through the vehicle detection device are obtained. The vehicle detection data may include: business data, namely digitalized detection data and diagnosis data detected by vehicle detection equipment; detecting equipment behavior data of the vehicle; dotting data used by a user and generated by the application APP of the vehicle detection equipment; log data of the operation of the vehicle detection equipment, that is, besides sending the detection condition corresponding to the vehicle detection equipment, it is also necessary to further send an operation log of the vehicle detection equipment, behavior data of the vehicle detection equipment, dotting data used by a user generated by applying the APP, and the like, so as to comprehensively analyze the conditions of the target vehicle and the vehicle detection equipment. In the process of sending the vehicle detection data, the vehicle detection data can be encrypted firstly and then transmitted, so that data leakage is prevented, and the safety of data transmission is improved. In the transmission process, data transmission monitoring can be further carried out, and the situations that data transmission fails due to interruption in the transmission process and the like are prevented.
(2) A second obtaining unit 702, configured to obtain a data processing configuration rule, and perform data processing on the vehicle detection data according to the data processing configuration rule, so as to obtain processed vehicle detection data.
The data processing configuration rule may include a plurality of data processing rules and a processing sequence of the corresponding data processing rules, for example, the data processing rule may include data desensitization or data decryption, data cleaning, data conversion, data tagging, and the like. The data processing sequence can be that firstly, the vehicle detection data is subjected to data desensitization or decryption, then the data is washed, then the data is converted, and finally the data labeling processing is carried out so as to process the vehicle detection data.
(3) Labeling processing unit 703
A labeling processing unit 703, configured to perform labeling processing on the processed vehicle detection data to obtain labeled vehicle detection data.
After the vehicle detection data are processed, labeling processing can be performed, and the corresponding label rules can be obtained through connection with the label rule database to perform labeling processing on the vehicle detection data. For example, the vehicle detection data specifically belongs to data of a target vehicle detected by the vehicle detection device within a certain period of time, and the corresponding tag may be the target vehicle; or, the detected specific data of the target vehicle, the tire pressure data, the four-wheel positioning data, and the like, the corresponding tag may be a specific data name; and belongs to a specific detection period of the vehicle detection device, or belongs to detection frequency data reflecting the vehicle detection device, etc., the tag may be a period or frequency.
(4) Modeling unit 704
And the modeling unit 704 is used for performing visual modeling on the labeled vehicle detection data to obtain and display a vehicle detection equipment portrait.
The method comprises the steps of carrying out visual modeling on labeled vehicle detection data, wherein visual preprocessing is further carried out before specific visual modeling, namely a visual model is obtained, then a model interface is applied, and a data application model is obtained through the model interface, namely a rule that the vehicle detection data are placed in the data visual model, and the rule specifically comprises a static rule, a dynamic rule and the like. The vehicle detection equipment portrait can be obtained by carrying out visual modeling according to the visual model and the data application model, namely placing vehicle detection data into the visual model according to the corresponding data placement rule.
Specifically, as shown in fig. 7b, the second obtaining unit 702 may include an identifying subunit 705 and a desensitizing subunit 705, wherein:
an identifying subunit 705, configured to identify sensitive data in the vehicle detection data according to the data desensitization rule;
and a desensitizing subunit 707, configured to perform data desensitizing processing on the sensitive data to obtain data-processed vehicle detection data.
The data desensitization rule may include a sensitive word obtaining rule, a data deformation rule, and the like. The sensitive word rule may be specifically set in combination with target vehicle information according to a type of the vehicle detection device, for example, information such as owner information and a specific license plate number corresponding to the target vehicle may be set as the sensitive information, and when the vehicle detection device is a photographing device, a photographed image including the specific information of the target vehicle, for example, when the license plate number or the owner of the vehicle is photographed, may also be set as the sensitive information. Sensitive data in the vehicle detection data are then identified according to a data desensitization rule, such as specific information of an owner corresponding to the target vehicle and a picture including a person and a license plate number are identified as the sensitive information. And then carrying out data desensitization on the sensitive data to obtain vehicle detection data after data desensitization. The specific data desensitization processing may include deforming sensitive information, and specifically may employ a script to deform the sensitive information, for example, by acquiring a code or a script, and performing an operation to implement desensitization deformation of data, for example: and replacing the information such as the name, the identity card number and the like in the sensitive information with the randomly arranged false name and the identity card number or randomly changing one address into another address by running the script.
In the actual desensitization process, either static desensitization or dynamic desensitization can be used depending on the specific desensitization requirements.
Specifically, as shown in fig. 7c, the vehicle detection device representation generation may further include an import subunit 707, a delete subunit 708, a determination subunit 709, a supplement subunit 710, a reconciliation processing subunit 711, where:
an importing subunit 707 configured to import the data-processed vehicle detection data into a database;
a deleting subunit 708, configured to delete the repeated data in the vehicle detection data in the database, so as to obtain deleted vehicle detection data;
a determining subunit 709, configured to determine a missing value range of the deleted vehicle detection data;
a supplement subunit 710, configured to perform missing value supplement according to the missing value range, and obtain vehicle detection data after supplementing the missing value;
and a consistency processing subunit 711, configured to perform consistency processing on the vehicle detection data after the missing value is supplemented, so as to obtain vehicle detection data after data cleaning.
The data processing configuration rule further comprises the step of importing the vehicle detection data after the data processing into the database when the data are washed so as to search the repeated data in the vehicle detection data after the data processing through the database, and then deleting the repeated vehicle detection data and only keeping one item. And then determining the missing value and the corresponding missing value range in the vehicle detection data after the duplicate item is deleted, judging whether missing value supplement can be carried out or not, and if the missing value supplement condition is met, carrying out the missing value supplement. If the missing value supplement condition is not met, the vehicle detection data which cannot be supplemented with the missing value is deleted. And then, carrying out consistency processing on the vehicle detection data after the missing values are supplemented, namely uniformly describing the data of the same type, such as detection time, and uniformly describing half hour and the like as description of minute, so that the vehicle detection data after data cleaning can be obtained.
Specifically, as shown in fig. 7d, the vehicle detection device representation generation may further include a data conversion subunit 712, wherein:
and the data conversion subunit 712 is configured to perform data conversion on the vehicle detection data after the data cleaning according to the data conversion rule, so as to obtain vehicle detection data with a consistent format.
When the data processing configuration rule further includes data conversion, first, a data conversion rule is obtained, for example, data types of numerical classes are all converted into numerical types, the same detection data of the same target vehicle are grouped, for example, detection data of tire pressures of the same target vehicle are set to the same group, and then, data conversion is performed on the vehicle detection data after data cleaning according to the data conversion rule, so that vehicle detection data with the same format is obtained, wherein the specific format may include a data format, specific detected items, corresponding target vehicles and the like.
As can be seen from the above, the vehicle detection device representation generation apparatus of the embodiment detects various indicators of the vehicle through the first obtaining unit 701, and obtains vehicle detection data detected by the vehicle detection device; further, a data processing configuration rule is obtained through the second obtaining unit 702, where the data processing configuration rule may include data desensitization, data cleaning, and the like, and then the vehicle detection data is subjected to data processing according to the data processing configuration rule to obtain processed vehicle detection data; the labeling processing unit 703 performs labeling processing on the processed vehicle detection data so as to classify and store the processed vehicle detection data to obtain labeled vehicle detection data; and then, the labeled vehicle detection data is subjected to visual modeling through the modeling unit 704, so that the portrait of the vehicle detection device can be obtained, the condition of the target vehicle corresponding to the vehicle detection device can be comprehensively known, and vehicle adaptation can be further performed on the target vehicle.
Embodiments of the present application provide a computer-readable storage medium having stored therein a plurality of instructions, which can be loaded by a processor to perform the steps of any one of the vehicle detection apparatus representation generation methods provided by the embodiments of the present application. For example, the instructions may perform the steps of:
acquiring vehicle detection data detected by vehicle detection equipment;
acquiring a data processing configuration rule, and performing data processing on the vehicle detection data according to the data processing configuration rule to obtain processed vehicle detection data;
labeling the processed vehicle detection data to obtain labeled vehicle detection data;
and carrying out visual modeling on the labeled vehicle detection data to obtain and display a portrait of the vehicle detection equipment.
The above operations can be implemented in the foregoing embodiments, and are not described in detail herein.
Wherein the computer-readable storage medium may include: read Only Memory (ROM), Random Access Memory (RAM), magnetic or optical disks, and the like.
Since the instructions stored in the computer-readable storage medium can execute the steps in the image generation of any vehicle detection device provided in the embodiments of the present application, the beneficial effects that can be achieved by the image generation of any vehicle detection device provided in the embodiments of the present application can be achieved, and detailed descriptions thereof are omitted here for the sake of detail in the foregoing embodiments.
The method, the device, the server and the computer-readable storage medium for generating the portrait of the vehicle detection apparatus provided by the embodiments of the present application are described in detail above, and specific examples are applied herein to explain the principles and embodiments of the present application, and the description of the above embodiments is only used to help understand the method and the core idea of the present application; meanwhile, for those skilled in the art, according to the idea of the present application, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present application.
Claims (11)
1. A vehicle detection apparatus portrait generation method, characterized by comprising:
acquiring vehicle detection data detected by vehicle detection equipment;
acquiring a data processing configuration rule, and performing data processing on the vehicle detection data according to the data processing configuration rule to obtain processed vehicle detection data;
labeling the processed vehicle detection data to obtain labeled vehicle detection data;
and carrying out visual modeling on the labeled vehicle detection data to obtain and display a portrait of the vehicle detection equipment.
2. The vehicle inspection device representation generation method of claim 1, wherein the data processing configuration rules include data desensitization rules, the data processing the vehicle inspection data according to the data processing configuration rules to obtain processed vehicle inspection data, comprising:
identifying sensitive data in the vehicle detection data according to the data desensitization rule;
and carrying out data desensitization treatment on the sensitive data to obtain vehicle detection data after data processing.
3. The vehicle inspection device representation generation method of claim 2, wherein the data processing arrangement rules further include data cleansing rules, the data processing the vehicle inspection data according to the data processing arrangement rules after the obtaining of the data processed vehicle inspection data, the obtaining of the processed vehicle inspection data further comprising:
importing the vehicle detection data after the data processing into a database;
deleting repeated data in the vehicle detection data in the database to obtain deleted vehicle detection data;
determining a missing value range of the deleted vehicle detection data;
supplementing missing values according to the missing value range to obtain vehicle detection data after supplementing the missing values;
and carrying out consistency processing on the vehicle detection data after the missing value is supplemented to obtain vehicle detection data after data cleaning.
4. The vehicle inspection device representation generation method of claim 3, wherein the data processing arrangement rules further include data conversion rules, and wherein the data processing the vehicle inspection data according to the data processing arrangement rules after the vehicle inspection data after the supplementing missing value is subjected to the unification processing to obtain data-washed vehicle inspection data further comprises:
and performing data conversion on the vehicle detection data after the data cleaning according to the data conversion rule to obtain vehicle detection data with consistent format.
5. The vehicle detecting apparatus representation generating method according to any one of claims 1 to 4, wherein said labeling the processed vehicle detection data to obtain labeled vehicle detection data further comprises:
according to the labeled vehicle detection data, analyzing the health condition of a target vehicle corresponding to the vehicle detection data;
pushing a vehicle health early warning to a target vehicle according to the health condition analysis result;
or pushing a vehicle maintenance scheme to the target vehicle according to the health condition analysis result.
6. The vehicle inspection device representation generation method of claim 1, after visually modeling the tagged vehicle inspection data to obtain and display a vehicle inspection device representation, further comprising:
and pushing vehicle detection suggestions to the target vehicle according to the vehicle detection equipment portrait.
7. The vehicle inspection device representation generation method of claim 1, after visually modeling the tagged vehicle inspection data to obtain and display a vehicle inspection device representation, further comprising:
and performing predictive maintenance on the vehicle detection equipment according to the vehicle detection equipment image.
8. The vehicle detection device representation generation method of claim 1, wherein said tagging the processed vehicle detection data to obtain tagged vehicle detection data comprises:
and according to the attribute of the processed vehicle detection data, giving a label corresponding to the processed vehicle detection data to obtain labeled vehicle detection data.
9. A vehicle detection device representation generation apparatus, characterized by comprising:
a first acquisition unit configured to acquire vehicle detection data detected by a vehicle detection device;
the second acquisition unit is used for acquiring a data processing configuration rule and carrying out data processing on the vehicle detection data according to the data processing configuration rule to obtain processed vehicle detection data;
the labeling processing unit is used for performing labeling processing on the processed vehicle detection data to obtain labeled vehicle detection data;
and the modeling unit is used for carrying out visual modeling on the labeled vehicle detection data to obtain and display a portrait of the vehicle detection equipment.
10. A vehicle inspection device representation generation server, comprising: a processor and a memory; the memory stores a plurality of instructions that the processor loads to perform the vehicle inspection device representation generation method of any of claims 1-8.
11. A computer readable storage medium storing a plurality of instructions adapted to be loaded by a processor to perform the vehicle detection apparatus representation generation method of any of claims 1 to 8.
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| PCT/CN2021/117195 WO2022052951A1 (en) | 2020-09-11 | 2021-09-08 | Method, apparatus and server for generating image of vehicle detection device, and readable storage medium |
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