CN110910654B - Illegal information processing method and device, electronic equipment and readable storage medium - Google Patents
Illegal information processing method and device, electronic equipment and readable storage medium Download PDFInfo
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- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/052—Detecting movement of traffic to be counted or controlled with provision for determining speed or overspeed
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- G—PHYSICS
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- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
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Abstract
According to the illegal information processing method and device, the electronic equipment and the readable storage medium, illegal information is obtained, and the illegal information comprises illegal pictures captured by a front end and corresponding illegal data; performing field extraction on the illegal data according to preset configuration information to obtain an illegal type corresponding to the illegal picture; and calling a preset algorithm model corresponding to the illegal type according to the illegal type, inputting the illegal information into the algorithm model so that the algorithm model can process the illegal information and output an illegal judgment result corresponding to the illegal information, thereby automatically acquiring the illegal type of illegal pictures with different formats, calling the corresponding algorithm model according to the illegal type to judge whether the illegal pictures are illegal, and improving the efficiency of checking the illegal information.
Description
Technical Field
The present disclosure relates to the field of information processing, and in particular, to a method and an apparatus for processing illegal information, an electronic device, and a readable storage medium.
Background
With the continuous development of social economy and the continuous improvement of the living standard of people, the holding capacity of urban motor vehicles is rapidly increased, and along with the increase of illegal events of the motor vehicles, more and more motor vehicles are provided.
At present, motor vehicle illegal events are processed by firstly capturing images by a front-end camera and then manually checking the images one by one. However, the front-end captured pictures have various formats, which are inconvenient for manual review, and result in low review efficiency.
Therefore, how to automatically check various illegal pictures is an urgent technical problem to be solved.
Disclosure of Invention
In view of the above problems, the present disclosure provides a method and an apparatus for processing illegal information, an electronic device, and a readable storage medium, so as to solve the problem of low efficiency of auditing illegal information.
In a first aspect, the present disclosure provides a method for processing illegal information, including:
acquiring illegal information, wherein the illegal information comprises an illegal picture captured by a front end and corresponding illegal data;
performing field extraction on the illegal data according to preset configuration information to obtain an illegal type corresponding to the illegal picture;
and calling a preset algorithm model corresponding to the violation type according to the violation type, and inputting the violation information into the algorithm model so that the algorithm model can process the violation information and output a violation judgment result corresponding to the violation information.
As other optional embodiments, the illegal data includes multiple types of illegal data; the preset configuration information comprises field extraction identifications of illegal sub-data of different types;
correspondingly, the field extraction of the illegal data according to the preset configuration information to obtain the corresponding illegal type of the illegal picture includes:
and according to field extraction identifications of different types of illegal sub-data in the configuration information, carrying out field extraction on the illegal sub-data in the illegal data to obtain at least one illegal sub-data including the illegal type.
As other optional embodiments, the illegal data is tabular format data;
correspondingly, the extracting the field of the illegal sub-data in the illegal data according to the field extraction identifier of the illegal sub-data of different types in the configuration information to obtain at least one illegal sub-data including the illegal type includes:
carrying out format analysis on the tabular format data to obtain each data value and a corresponding data column of the tabular format data; the data value is used for representing the value of illegal sub-data; the data column is used for representing the type of illegal sub-data;
and performing field extraction processing on the list format data after format analysis by using each field extraction identifier in the configuration information so as to store different types of illegal sub-data in the storage positions indicated by the field extraction identifiers of corresponding types.
As another optional implementation manner, the illegal data is name data of the illegal picture;
correspondingly, the extracting the field of the illegal sub-data in the illegal data according to the field extraction identifier of the illegal sub-data of different types in the configuration information to obtain at least one illegal sub-data including the illegal type includes:
performing semantic recognition on the name data to obtain illegal sub-data of different types;
and performing field extraction processing on each illegal sub-data by using each field extraction identifier in the configuration information so as to store different types of illegal sub-data in the storage positions indicated by the field extraction identifiers of the corresponding types.
As other optional embodiments, the method further comprises:
and performing associated storage on the illegal data subjected to the field extraction and the illegal picture.
As other optional embodiments, the method further comprises:
and performing associated storage on the illegal determination result output by the algorithm model and the illegal data subjected to the field extraction.
In a second aspect, the present disclosure provides an apparatus for processing illegal information, including:
the system comprises an acquisition module, a storage module and a display module, wherein the acquisition module is used for acquiring illegal information, and the illegal information comprises illegal pictures captured by a front end and corresponding illegal data;
the extraction module is used for carrying out field extraction on the illegal data according to preset configuration information so as to obtain an illegal type corresponding to the illegal picture;
and the processing module is used for calling a preset algorithm model corresponding to the violation type according to the violation type, inputting the violation information into the algorithm model so that the algorithm model can process the violation information and output a violation judgment result corresponding to the violation information.
As other optional embodiments, the illegal data includes multiple types of illegal data; the preset configuration information comprises field extraction identifications of illegal sub-data of different types;
correspondingly, the extraction module is configured to:
and according to field extraction identifications of different types of illegal sub-data in the configuration information, carrying out field extraction on the illegal sub-data in the illegal data to obtain at least one illegal sub-data including the illegal type.
As other optional embodiments, the illegal data is tabular format data;
correspondingly, the extraction module is configured to:
carrying out format analysis on the tabular format data to obtain each data value and a corresponding data column of the tabular format data; the data value is used for representing the value of illegal sub-data; the data column is used for representing the type of illegal sub-data;
and performing field extraction processing on the list format data after format analysis by using each field extraction identifier in the configuration information so as to store different types of illegal sub-data in the storage positions indicated by the field extraction identifiers of corresponding types.
As another optional implementation manner, the illegal data is name data of the illegal picture;
correspondingly, the extraction module is configured to:
performing semantic recognition on the name data to obtain illegal sub-data of different types;
and performing field extraction processing on each illegal sub-data by using each field extraction identifier in the configuration information so as to store different types of illegal sub-data in the storage positions indicated by the field extraction identifiers of the corresponding types.
As other optional embodiments, the apparatus further comprises:
and performing associated storage on the illegal data subjected to the field extraction and the illegal picture.
As other optional embodiments, the apparatus further comprises:
and outputting an illegal judgment result corresponding to the illegal information output by the algorithm model and carrying out associated storage on the illegal data subjected to the field extraction.
In a third aspect, the present disclosure provides an electronic device, comprising: at least one processor and memory;
the memory stores computer-executable instructions;
the at least one processor executing the computer-executable instructions stored by the memory causes the at least one processor to perform a method of processing violation information as described in any of the preceding claims.
In a fourth aspect, the present disclosure provides a readable storage medium, in which computer-executable instructions are stored, and when a processor executes the computer-executable instructions, the method for processing the illegal information according to any one of the preceding claims is implemented.
According to the illegal information processing method and device, the electronic equipment and the readable storage medium, illegal information is obtained, and the illegal information comprises illegal pictures captured by a front end and corresponding illegal data; performing field extraction on the illegal data according to preset configuration information to obtain an illegal type corresponding to the illegal picture; and calling a preset algorithm model corresponding to the illegal type according to the illegal type, inputting the illegal information into the algorithm model so that the algorithm model can process the illegal information and output an illegal judgment result corresponding to the illegal information, thereby automatically acquiring the illegal type of illegal pictures with different formats, calling the corresponding algorithm model according to the illegal type to judge whether the illegal pictures are illegal, and improving the efficiency of checking the illegal information.
Drawings
FIG. 1 is a schematic diagram of a scenario upon which the present disclosure is based;
FIG. 2 is a schematic flow chart illustrating a method for processing illegal information according to the present disclosure;
FIG. 3 is a schematic flow chart of another method for processing illegal information provided by the present disclosure;
FIG. 4 is a schematic flow chart illustrating another method for processing illegal information provided by the present disclosure;
FIG. 5 is a schematic structural diagram of an illegal information processing device provided by the present disclosure;
fig. 6 is a schematic diagram of a hardware structure of an electronic device provided in the present disclosure.
Detailed Description
To make the purpose, technical solutions and advantages of the disclosed examples clearer, the technical solutions in the disclosed examples will be clearly and completely described below with reference to the drawings in the disclosed examples.
With the continuous development of social economy and the continuous improvement of the living standard of people, the holding capacity of urban motor vehicles is rapidly increased, and along with the increase of illegal events of the motor vehicles, more and more motor vehicles are provided.
Fig. 1 is a schematic view of a scene on which the present disclosure is based, and as shown in fig. 1, a front-end camera captures a motor vehicle that may have an illegal phenomenon, and then transmits captured illegal pictures and illegal information to a server for processing.
In the prior art, the illegal picture and the illegal information transmitted to the server are manually checked, but due to the fact that the types of front-end equipment are various, the formats of the illegal picture and the illegal data transmitted to the server are also various, manual checking is inconvenient, and checking efficiency is low.
In view of the above problem, the present disclosure provides a method and an apparatus for processing illegal information, an electronic device, and a readable storage medium, so as to automatically audit various illegal information and improve the efficiency of auditing illegal information.
In a first aspect, the present disclosure provides a method for processing illegal information, and fig. 2 is a schematic flow chart of the method for processing illegal information provided by the present disclosure.
As shown in fig. 2, the method for processing illegal information includes:
step 201, obtaining illegal information, wherein the illegal information comprises illegal pictures captured by a front end and corresponding illegal data.
Specifically, the front end can be various cameras, which can also be called electronic eyes; the violation data may include a front-end device number, a front-end device name (e.g., XX road junction camera), a license plate number, a license plate type, violation time, a violation type, and the like.
Step 202, extracting fields of the illegal data according to preset configuration information to obtain an illegal type corresponding to the illegal picture.
Specifically, the types of violations may include: red light running, reversing, speeding, line crossing, illegal parking, etc., and may be represented by a code, such as 01 for red light running, 02 for reversing, 03 for speeding, 04 for line crossing, 05 for illegal parking, etc.
In other optional embodiments, the illegal data includes multiple types of illegal data; the preset configuration information comprises field extraction identifications of illegal sub-data of different types;
correspondingly, the field extraction of the illegal data according to the preset configuration information to obtain the corresponding illegal type of the illegal picture includes:
and according to field extraction identifications of different types of illegal sub-data in the configuration information, carrying out field extraction on the illegal sub-data in the illegal data to obtain at least one illegal sub-data including the illegal type.
Specifically, the violation data includes multiple types of violation data, and the types of the violation data include: device number, device name, license plate number, license plate type, time of violation, type of violation, and the like. And extracting fields of the illegal sub-data according to preset configuration information, and storing the fields in a database.
103, calling a preset algorithm model corresponding to the violation type according to the violation type, and inputting the violation information into the algorithm model so that the algorithm model can process the violation information and output a violation judgment result corresponding to the violation information.
Specifically, the database is connected with an algorithm module, the algorithm module comprises a plurality of algorithm models corresponding to the illegal types, the algorithm models corresponding to the illegal types are called according to the illegal types, illegal pictures and illegal information are input into the corresponding algorithm models, and whether the vehicles corresponding to the pictures are illegal or not is judged by using the algorithm models.
In other optional embodiments, algorithm models corresponding to other illegal types may also be called to determine whether other illegal phenomena exist in the vehicle corresponding to the illegal picture.
According to the illegal information processing method provided by the disclosed example, illegal information is obtained, and the illegal information comprises illegal pictures captured by a front end and corresponding illegal data; performing field extraction on the illegal data according to preset configuration information to obtain an illegal type corresponding to the illegal picture; and calling a preset algorithm model corresponding to the illegal type according to the illegal type, inputting the illegal information into the algorithm model so that the algorithm model can process the illegal information and output an illegal judgment result corresponding to the illegal information, thereby automatically acquiring the illegal type of illegal pictures with different formats, calling the corresponding algorithm model according to the illegal type to judge whether the illegal pictures are illegal, and improving the efficiency of checking the illegal information.
With reference to the foregoing implementation manner, fig. 3 is a schematic flowchart of another illegal information processing method provided by the present disclosure, and as shown in fig. 3, when the illegal data is list format data, the processing method includes:
step 301, obtaining violation information, where the violation information includes a violation picture captured by a front end and corresponding violation data.
Step 302, performing format analysis on the list format data to obtain each data value and corresponding data column of the list format data.
The data value is used for representing the value of illegal sub-data; the data column is used for representing the type of illegal data.
And step 303, performing field extraction processing on the list format data after format analysis by using each field extraction identifier in the configuration information, so that different types of illegal sub-data are stored in the storage position indicated by the field extraction identifier of the corresponding type.
Step 304, calling a preset algorithm model corresponding to the type of the violation according to the type of the violation, inputting the violation information into the algorithm model, so that the algorithm model processes the violation information and outputs a violation judgment result corresponding to the violation information.
Step 301 and step 304 in this embodiment are similar to the implementation manners of step 201 and step 203 in the foregoing embodiment, respectively, and are not described herein again.
Different from the foregoing embodiment, the present embodiment is directed to, when the illegal data captured from the front end is list data, performing format analysis on the list format data, obtaining the type and data value of the illegal data in the list, for example, obtaining data values of a device number, a device name, a license plate number, a license plate type, illegal time, and an illegal type in sequence from the first column to the sixth column of the list data, and then performing field extraction processing on the list by using each field extraction identifier in the configuration information, so that different types of illegal data are stored in a storage location indicated by the corresponding type of field extraction identifier in the database.
In other optional embodiments, the storage address of the illegal picture, for example, the physical storage address of the picture or the remote address accessible to the storage address, may be stored in the list, and the field with the corresponding type of the configuration information is used to extract the identifier to store the storage address of the picture to the corresponding location in the database, that is, this embodiment may further include: and performing associated storage on the illegal data subjected to the field extraction and the illegal picture.
Correspondingly, when step 304 is performed, that is, when the algorithm model reads an illegal picture, the picture can be downloaded to the local according to the picture storage address in the database and then processed.
In other alternative embodiments, after step 304, the determination result of the algorithm model may be stored in association with the violation data, that is, this embodiment further includes:
and performing associated storage on the illegal determination result output by the algorithm model and the illegal data subjected to the field extraction.
And the illegal information and the judgment result of the algorithm model can be displayed through electronic equipment, so that people can conveniently look up the illegal information and the judgment result.
According to the illegal information processing method provided by the disclosed example, illegal information is obtained, and the illegal information comprises illegal pictures captured by a front end and corresponding illegal data; the illegal data are tabular format data, and format analysis is carried out on the tabular format data to obtain each data value and corresponding data column of the tabular format data; the data value is used for representing the value of illegal sub-data; the data column is used for representing the type of illegal sub-data; performing field extraction processing on the list format data after format analysis by using each field extraction identifier in the configuration information so as to store different types of illegal sub-data at the storage positions indicated by the field extraction identifiers of corresponding types; and calling a preset algorithm model corresponding to the illegal type according to the illegal type, inputting the illegal information into the algorithm model so that the algorithm model can process the illegal information and output an illegal judgment result corresponding to the illegal information, thereby automatically acquiring the illegal type of the illegal data when the illegal data is given by list format data, calling the corresponding algorithm model according to the illegal type to judge whether the illegal data is illegal, and improving the auditing efficiency of the illegal information.
With reference to the foregoing implementation manners, fig. 4 is a schematic flowchart of a processing method of another illegal information provided by the present disclosure, and as shown in fig. 4, when the illegal data is name data of the illegal picture, the processing method includes:
And 402, performing semantic recognition on the name data to obtain illegal sub-data of different types.
And step 403, performing field extraction processing on each illegal sub-data by using each field extraction identifier in the configuration information, so that different types of illegal sub-data are stored in the storage positions indicated by the field extraction identifiers of the corresponding types.
Step 404, calling a preset algorithm model corresponding to the type of the violation according to the type of the violation, inputting the violation information into the algorithm model, so that the algorithm model processes the violation information and outputs a violation judgment result corresponding to the violation information.
Step 401 and step 404 in this embodiment are similar to the implementation manners of step 201 and step 203 in the foregoing embodiment, respectively, and are not described herein again.
Unlike the foregoing embodiments, the present embodiment is directed to an example of a picture name when illegal data captured from a front end is name data of the illegal picture: the method comprises the steps of dividing illegal subdata in names of equipment numbers, equipment names, license plate numbers, license plate types, illegal time and illegal types, namely illegal subdata in names of illegal pictures by special characters, carrying out semantic recognition on the name data to obtain different types of illegal subdata, and then carrying out field extraction processing on the illegal subdata by utilizing field extraction identifiers in configuration information so as to enable the different types of illegal subdata to be stored in storage positions indicated by the field extraction identifiers of the corresponding types.
In other optional embodiments, the storage address of the illegal picture, for example, the physical storage address of the picture or a remote address accessible to the storage address, may also be stored in the list, and the field with the corresponding type of the configuration information is used to extract the identifier to store the storage address of the picture to the corresponding location in the database, that is, this embodiment further includes: and performing associated storage on the illegal data subjected to the field extraction and the illegal picture.
Correspondingly, when the step 404 is performed, that is, when the algorithm model reads the illegal picture, the picture can be downloaded to the local according to the picture storage address in the database and then processed.
In other alternative embodiments, after step 404, the judgment of the algorithm model may be stored in association with the violation data, that is, this embodiment further includes:
and performing associated storage on the illegal determination result output by the algorithm model and the illegal data subjected to the field extraction.
And the illegal information and the judgment result of the algorithm model can be displayed through electronic equipment, so that people can conveniently look up the illegal information and the judgment result.
According to the illegal information processing method provided by the disclosed example, illegal information is obtained, and the illegal information comprises illegal pictures captured by a front end and corresponding illegal data; the illegal data are name data of the illegal picture, and semantic recognition is carried out on the name data to obtain illegal sub-data of different types; performing field extraction processing on each illegal sub-data by using each field extraction identifier in the configuration information so as to store different types of illegal sub-data at the storage position indicated by the corresponding type of field extraction identifier; and calling a preset algorithm model corresponding to the illegal type according to the illegal type, inputting the illegal information into the algorithm model so that the algorithm model can process the illegal information and output an illegal judgment result corresponding to the illegal information, thereby automatically acquiring the illegal type of the illegal data when the illegal data is given by picture name data, calling the corresponding algorithm model according to the illegal type to judge whether the illegal data is illegal, and improving the efficiency of checking the illegal information.
In a second aspect, the present disclosure provides an apparatus for processing illegal information, and fig. 5 is a schematic structural diagram of an apparatus for processing illegal information provided by the present disclosure, as shown in fig. 5, the apparatus includes:
the system comprises an acquisition module 10, a storage module and a display module, wherein the acquisition module is used for acquiring illegal information, and the illegal information comprises illegal pictures captured by a front end and corresponding illegal data;
the extraction module 20 is configured to perform field extraction on the illegal data according to preset configuration information to obtain an illegal type corresponding to the illegal picture;
the processing module 30 is configured to call a preset algorithm model corresponding to the type of the violation according to the type of the violation, input the violation information into the algorithm model, so that the algorithm model processes the violation information and outputs a violation determination result corresponding to the violation information.
In other optional embodiments, the illegal data includes multiple types of illegal data; the preset configuration information comprises field extraction identifications of illegal sub-data of different types;
accordingly, the extraction module 20 is configured to:
and according to field extraction identifications of different types of illegal sub-data in the configuration information, carrying out field extraction on the illegal sub-data in the illegal data to obtain at least one illegal sub-data including the illegal type.
In other optional embodiments, the violation data is tabular format data;
accordingly, the extraction module 20 is configured to:
carrying out format analysis on the tabular format data to obtain each data value and a corresponding data column of the tabular format data; the data value is used for representing the value of illegal sub-data; the data column is used for representing the type of illegal sub-data;
and performing field extraction processing on the list format data after format analysis by using each field extraction identifier in the configuration information so as to store different types of illegal sub-data in the storage positions indicated by the field extraction identifiers of corresponding types.
In other optional embodiments, the illegal data is name data of the illegal picture;
accordingly, the extraction module 20 is configured to:
performing semantic recognition on the name data to obtain illegal sub-data of different types;
and performing field extraction processing on each illegal sub-data by using each field extraction identifier in the configuration information so as to store different types of illegal sub-data in the storage positions indicated by the field extraction identifiers of the corresponding types.
In other optional embodiments, the illegal data after field extraction and the illegal picture are stored in association.
In other optional embodiments, the violation determination result output by the algorithm model is stored in association with the violation data obtained after the field extraction.
It can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working process and corresponding beneficial effects of the control device described above may refer to the corresponding process in the foregoing method example, and are not described herein again.
According to the illegal information processing device, illegal information is acquired through the acquisition module, and the illegal information comprises illegal pictures captured by the front end and corresponding illegal data; performing field extraction on the illegal data through an extraction module according to preset configuration information to obtain an illegal type corresponding to the illegal picture; the processing module calls a preset algorithm model corresponding to the illegal type according to the illegal type, the illegal information is input into the algorithm model, so that the algorithm model processes the illegal information and outputs an illegal judgment result corresponding to the illegal information, the illegal types of illegal pictures in different formats are automatically acquired, the corresponding algorithm model is called according to the illegal types to judge whether the illegal pictures are illegal, and the efficiency of checking the illegal information is improved.
In a third aspect, an example of the present disclosure provides an electronic device, and fig. 6 is a schematic diagram of a hardware structure of the electronic device provided in the present disclosure, as shown in fig. 6, including: at least one processor 601 and memory 602. The electronic device further comprises a communication component 603. The processor 601, the memory 602, and the communication section 603 are connected by a bus 604.
In a particular implementation, the at least one processor 601 executes computer-executable instructions stored by the memory 602 to cause the at least one processor 601 to perform the vehicle operating mode control method as described above.
For a specific implementation process of the processor 601, reference may be made to the above method embodiments, which implement the principle and the technical effect similarly, and details of this embodiment are not described herein again.
In the embodiment shown in fig. 6, it should be understood that the Processor may be a Central Processing Unit (CPU), other general purpose processors, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of a method disclosed in connection with the present invention may be embodied directly in a hardware processor, or in a combination of the hardware and software modules within the processor.
The memory may comprise high speed RAM memory and may also include non-volatile storage NVM, such as at least one disk memory.
The bus may be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, an Extended ISA (EISA) bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, the buses in the figures of the present application are not limited to only one bus or one type of bus.
In a fourth aspect, the disclosed example further provides a readable storage medium, in which computer-executable instructions are stored, and when a processor executes the computer-executable instructions, the illegal information processing method is implemented.
The readable storage medium described above may be implemented by any type of volatile or non-volatile memory device or combination thereof, such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disk. Readable storage media can be any available media that can be accessed by a general purpose or special purpose computer.
An exemplary readable storage medium is coupled to the processor such the processor can read information from, and write information to, the readable storage medium. Of course, the readable storage medium may also be an integral part of the processor. The processor and the readable storage medium may reside in an Application Specific Integrated Circuits (ASIC). Of course, the processor and the readable storage medium may also reside as discrete components in the apparatus.
Those of ordinary skill in the art will understand that: all or a portion of the steps of implementing the above-described method examples may be performed by hardware associated with program instructions. The program may be stored in a computer-readable storage medium. When executed, the program performs steps comprising the above-described method examples; and the aforementioned storage medium includes: various media that can store program codes, such as ROM, RAM, magnetic or optical disks.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solutions of the present disclosure, not to limit them; while the present disclosure has been described in detail with reference to the foregoing examples, those of ordinary skill in the art will understand that: the technical solutions described in the foregoing examples can still be modified, or some or all of the technical features can be equivalently replaced; such modifications and substitutions do not depart from the scope of the exemplary embodiments of the present disclosure.
Claims (7)
1. A method for processing illegal information is characterized by comprising the following steps:
acquiring illegal information, wherein the illegal information comprises an illegal picture captured by a front end and corresponding illegal data;
according to field extraction identifications of different types of illegal sub-data in preset configuration information, carrying out field extraction on a plurality of types of illegal sub-data in the illegal data to obtain at least one piece of illegal sub-data including illegal types;
calling a preset algorithm model corresponding to the violation type according to the violation type, and inputting the violation information into the algorithm model so that the algorithm model can process the violation information and output a violation judgment result corresponding to the violation information;
if the illegal data are list format data;
correspondingly, the extracting the field of the illegal sub-data in the illegal data according to the field extraction identifier of the illegal sub-data of different types in the configuration information to obtain at least one illegal sub-data including the illegal type includes:
carrying out format analysis on the tabular format data to obtain each data value and a corresponding data column of the tabular format data; the data value is used for representing the value of illegal sub-data; the data column is used for representing the type of illegal sub-data;
and performing field extraction processing on the list format data after format analysis by using each field extraction identifier in the configuration information so as to store different types of illegal sub-data in the storage positions indicated by the field extraction identifiers of corresponding types.
2. The method for processing the illegal information according to claim 1, wherein if the illegal data is name data of the illegal picture;
correspondingly, the extracting the field of the illegal sub-data in the illegal data according to the field extraction identifier of the illegal sub-data of different types in the configuration information to obtain at least one illegal sub-data including the illegal type includes:
performing semantic recognition on the name data to obtain illegal sub-data of different types;
and performing field extraction processing on each illegal sub-data by using each field extraction identifier in the configuration information so as to store different types of illegal sub-data in the storage positions indicated by the field extraction identifiers of the corresponding types.
3. The illegal information processing method according to claim 1 or 2, further comprising:
and performing associated storage on the illegal data subjected to the field extraction and the illegal picture.
4. The illegal information processing method according to claim 1 or 2, further comprising:
and performing associated storage on the illegal determination result output by the algorithm model and the illegal data subjected to the field extraction.
5. An apparatus for processing illegal information, comprising:
the system comprises an acquisition module, a storage module and a display module, wherein the acquisition module is used for acquiring illegal information, and the illegal information comprises illegal pictures captured by a front end and corresponding illegal data;
the extraction module is used for extracting fields of a plurality of types of illegal sub-data in the illegal data according to field extraction identifiers of different types of illegal sub-data in preset configuration information so as to obtain at least one illegal sub-data including an illegal type;
the processing module is used for calling a preset algorithm model corresponding to the violation type according to the violation type, inputting the violation information into the algorithm model so that the algorithm model can process the violation information and output a violation judgment result corresponding to the violation information;
if the illegal data are list format data;
correspondingly, the extraction module is configured to:
carrying out format analysis on the tabular format data to obtain each data value and a corresponding data column of the tabular format data; the data value is used for representing the value of illegal sub-data; the data column is used for representing the type of illegal sub-data;
and performing field extraction processing on the list format data after format analysis by using each field extraction identifier in the configuration information so as to store different types of illegal sub-data in the storage positions indicated by the field extraction identifiers of corresponding types.
6. An electronic device, comprising: at least one processor and memory;
the memory stores computer-executable instructions;
the at least one processor executing the computer-executable instructions stored by the memory causes the at least one processor to perform the method of processing violation information as recited in any of claims 1-4.
7. A readable storage medium, wherein a computer executing instruction is stored in the readable storage medium, and when a processor executes the computer executing instruction, the method for processing the illegal information according to any one of claims 1 to 4 is implemented.
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| CN111611597A (en) * | 2020-04-15 | 2020-09-01 | 浪潮云信息技术股份公司 | A blockchain-based data access and writing method, device and medium |
| CN112201043A (en) * | 2020-09-11 | 2021-01-08 | 鄂尔多斯市龙腾信通科技有限公司 | Intelligent traffic violation information acquisition control system |
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| CN102610099B (en) * | 2012-03-15 | 2013-10-30 | 天津大学 | Traffic violation detection system and traffic violation detection method for crossroads |
| EP2662782A1 (en) * | 2012-05-10 | 2013-11-13 | Siemens Aktiengesellschaft | Method and system for storing data in a database |
| CN103021186B (en) * | 2012-12-28 | 2015-03-25 | 中国科学技术大学 | Vehicle monitoring method and vehicle monitoring system |
| CN108460041B (en) * | 2017-02-20 | 2022-12-23 | 腾讯科技（深圳）有限公司 | Data processing method and device |
| CN109949569A (en) * | 2019-02-18 | 2019-06-28 | 广东中标数据科技股份有限公司 | A kind of traffic violation data auditing system and its implementation |
| CN110264730A (en) * | 2019-06-05 | 2019-09-20 | 上海易点时空网络有限公司 | The method and system of tracking escape vehicle based on driving recording |
| CN110457312B (en) * | 2019-07-05 | 2023-07-07 | 中国平安财产保险股份有限公司 | Method, device, equipment and readable storage medium for collecting multi-type data |
| CN110415529B (en) * | 2019-09-04 | 2021-09-28 | 上海眼控科技股份有限公司 | Automatic processing method and device for vehicle violation, computer equipment and storage medium |
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