CN111708766A - Method, device, computer storage medium and terminal for realizing information processing - Google Patents
Method, device, computer storage medium and terminal for realizing information processing Download PDFInfo
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Abstract
The embodiment of the invention analyzes whether the check information is wrongly identified for the check information inconsistent with the input information, and judges that the check information is consistent with the input information when the error exists in the identification of the check information, so that the issue related information which is judged to be consistent with the input information does not need to be manually processed, the data volume of the issue related information which is manually checked is reduced, and the check efficiency of the issue data is improved.
Description
Technical Field
The present disclosure relates to, but not limited to, artificial intelligence technology, and more particularly, to a method, an apparatus, a computer storage medium, and a terminal for implementing information processing.
Background
With the cancellation of provincial stations for high-speed toll collection, the distribution volume of electronic toll collection systems (ETC) and on-board units (OBU) in China is increased dramatically.
In order to ensure the integrity and accuracy of each issued data of the ETC and OBU, the issued data of each user can be checked in the following way: the method comprises the following steps of identifying a driving license and a vehicle picture uploaded by a user by utilizing an Artificial Intelligence (AI) technology, and obtaining the following steps: all persons, addresses, use properties, brand models, vehicle identification codes, the number of persons who are checked and rated, the certificate issuing date, the number plate number, the vehicle types and the like; comparing various checking information with input information filled by a user, when one or more checking information is inconsistent with the input information, taking the driving license and the vehicle picture uploaded by the user and the filled input information as issuing related data, forwarding the issuing related data to a preset server, and manually checking the data with inconsistent checking information and input information by related staff.
When the issued data is checked and the checking information is obtained through AI technology identification, a large amount of information identification errors occur due to the problem of identification precision, so that a large amount of checking misinformation that the checking information is inconsistent with the input information is caused, manual checking is required, the processing is complicated, and great working pressure is brought to related working personnel who charge at high speed. How to reduce the tedious processing caused by checking false alarm becomes a problem to be solved.
Disclosure of Invention
The following is a summary of the subject matter described in detail herein. This summary is not intended to limit the scope of the claims.
Embodiments of the present invention provide a method, an apparatus, a computer storage medium, and a terminal for implementing information processing, which can reduce manual processing amount and improve checking efficiency of issued data.
The embodiment of the invention provides a method for realizing information processing, which comprises the following steps:
determining whether the check information inconsistent with the input information has an identification error according to a preset strategy;
and when the identification error exists in the check information inconsistent with the input information, judging that the check information is consistent with the input information.
On the other hand, the embodiment of the present invention further provides a computer storage medium, in which a computer program is stored, and the computer program, when executed by a processor, implements the above method for implementing information processing.
In another aspect, an embodiment of the present invention further provides a terminal, including: a memory and a processor, the memory having a computer program stored therein; wherein,
the processor is configured to execute the computer program in the memory;
the computer program, when executed by the processor, implements a method of implementing information processing as described above.
In another aspect, an embodiment of the present invention further provides an apparatus for implementing information processing, where the apparatus includes: a determination unit and a processing unit; wherein,
the determination unit is configured to: determining whether the check information inconsistent with the input information has an identification error according to a preset strategy;
the processing unit is configured to: and when the identification error exists in the check information inconsistent with the input information, judging that the check information is consistent with the input information. According to the preset strategy, the embodiment of the invention analyzes whether the check information is wrongly identified or not according to the check information inconsistent with the input information, and judges that the check information is consistent with the input information when the error exists in the identification of the check information, so that the issue related information judged to be consistent with the input information does not need to be manually processed, the data volume of the issue related information subjected to manual check is reduced, and the check efficiency of the issue data is improved.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
Drawings
The accompanying drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the example serve to explain the principles of the invention and not to limit the invention.
FIG. 1 is a flow chart of a method for implementing information processing according to an embodiment of the present invention;
FIG. 2 is a diagram illustrating an implementation of information processing according to an embodiment of the present invention;
fig. 3 is a block diagram of an apparatus for implementing information processing according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, embodiments of the present invention will be described in detail below with reference to the accompanying drawings. It should be noted that the embodiments and features of the embodiments in the present application may be arbitrarily combined with each other without conflict.
The steps illustrated in the flow charts of the figures may be performed in a computer system such as a set of computer-executable instructions. Also, while a logical order is shown in the flow diagrams, in some cases, the steps shown or described may be performed in an order different than here.
Fig. 1 is a flowchart of a method for implementing information processing according to an embodiment of the present invention, as shown in fig. 1, including:
here, the check information inconsistent with the input information includes: and comparing various checking information with input information filled by a user through a related technology to obtain checking information inconsistent with the input information.
In an exemplary embodiment, determining whether there is an identification error in the check information inconsistent with the input information according to a preset policy includes:
comparing the checking information with prestored comparison information;
and determining whether the verification information has identification errors according to the comparison result.
In an exemplary embodiment, when the verification information includes all persons, the comparison information includes more than one piece of name word information, and determining whether the verification information has a recognition error according to a comparison result includes: determining that all people have recognition errors when more than one word contained in all people is different from all name word information; here, the owner refers to a user to whom the vehicle belongs, such as a travel certificate record. Whether the words contained in all people are different from the word information of all people resources or not can be analyzed by means of the existing training model in the related technology.
In an exemplary embodiment, when the check information includes an address, the comparison information includes more than one piece of address information, and determining whether the check information has an identification error according to a comparison result includes: when the address is not matched with each address information, determining that the address has an identification error; here, the matching of the address and the address information includes one of the following cases: the address is identical to the address information; determining that the address and the address information are substantially the same through the existing text analysis method in the related technology; for example, the XYA field and the XY city a field, although there is no field "city" in XYA, it can be determined by a text analysis method that two addresses are actually the same.
In an exemplary embodiment, when the verification information includes the usage property, the comparison information includes more than one usage property classification information, and determining whether the verification information has an identification error according to the comparison result includes: determining that the use property has identification errors when the use property is different from all the use property classification information;
in an exemplary embodiment, when the verification information includes a brand model, the brand information includes more than one brand model classification information, and determining whether the verification information has an identification error according to a comparison result includes: and determining that the brand model has wrong identification when the brand model is different from all the brand model classification information.
In an exemplary embodiment, the comparison information of the various kinds of check information may be a data set or a database for comparison; for example, the person name information may include a person name database existing in the related art; the address information may include an address database existing in the related art; the usage property classification information may include a data set or database established by the usage properties of the currently published vehicles; the make and model classification information may include a data set or database built from currently published vehicle makes and models.
The following describes embodiments of the present invention with reference to the following examples of whether address information has an identification error by address data: the address database can comprise one or a plurality of databases for recording address information, which are generated according to a preset composition format in the related art; the addresses in the address database can comprise the components according to the current country, province, city, district (or county), street, doorplate and the like; the number of provinces included in a country, cities included in each province, prefectures included in each city, streets included in each prefecture, and house. The checking information is the address, and when the address does not exist in the address database, the embodiment of the invention determines that the address has identification errors.
In another exemplary embodiment, determining whether there is an identification error in the check information inconsistent with the input information according to a preset policy includes:
when the checking information comprises the vehicle identification code and the vehicle identification code does not accord with the generation rule of the vehicle identification code, determining that the vehicle identification code has an identification error; here, the vehicle identification code is an identification number of an automobile, and is composed of information including a manufacturer, a year, a model, a body type and a code of the vehicle, an engine code, an assembly location, and the like according to a generation rule determined by a national vehicle management standard.
When the checking information comprises the number plate number and the vehicle type, and the number plate number is determined not to be matched with the vehicle type, the number plate number and the vehicle type are determined to have identification errors; the number plate number and the vehicle type of the embodiment of the invention are information obtained by identifying the vehicle picture.
When the checking information comprises the number of the approved passengers, determining all the approved passengers contained in the vehicle with the brand model according to the brand model in the current issuing data; when the number of the approved persons is not contained in all the confirmed numbers of the approved persons, determining that the number of the approved persons has identification errors;
when the checking information comprises the certification date, determining the earliest issuing time of the vehicle with the brand model according to the brand model in the current issuing data; and when the certificate issuing date is earlier than the determined earliest issuing time, determining that the certificate issuing date has an identification error.
And 102, judging that the check information is consistent with the input information when the check information inconsistent with the input information is determined to be identified incorrectly.
The embodiment of the invention analyzes the check information inconsistent with the input information to judge whether the check information is wrongly identified or not, and when the check information is judged to be wrongly identified, the check information is consistent with the input information, so that the issue related information judged to be consistent with the input information does not need to be manually processed, the data volume of the issue related information subjected to manual check is reduced, and the check efficiency of the issue data is improved.
In an exemplary embodiment, when the check information inconsistent with the input information determines that there is no error in the recognition, the manual check may be continued with reference to an existing manner; including but not limited to: and transmitting the relevant data of the user corresponding to the checking information to a preset server for manual rechecking.
In an exemplary embodiment, the embodiment of the present invention may set a corresponding distinguishing identifier for each type of checking information; and when the verification information is determined to have no identification error, judging that the verification information is inconsistent with the input information, and feeding back a distinguishing identifier corresponding to the verification information. After the distinguishing mark is fed back, relevant workers can determine specific checking information inconsistent with the input information according to the distinguishing mark, and perform manual checking after the relevant data is consulted and issued through the determined specific checking information.
Fig. 2 is a schematic diagram of implementing information processing according to an embodiment of the present invention, and as shown in fig. 2, the checking information includes: all people, addresses, use types, brand models, vehicle identification codes, the number of approved persons, the certificate issuing date, the number plate number and the vehicle type; the number plate number and the vehicle type are information obtained by carrying out image recognition on a vehicle picture; checking other information except the number plate number and the vehicle type, wherein the information is obtained by carrying out image recognition processing on the driving license; according to the embodiment of the invention, the checking information inconsistent with the input information can be respectively used for determining whether the identification error exists through different branches; after the judgment of whether the check information is consistent with the input information is finished according to whether the identification error exists or not, when the check information is still determined to be inconsistent with the input information, the embodiment of the invention feeds back the preset distinguishing identifier of the type of check information so as to carry out manual check
In an exemplary example, after determining that the identification of the check information is incorrect, the embodiment of the present invention may further obtain a driving license and/or a vehicle picture corresponding to the check information; analyzing and adjusting the device for shooting the map and the image recognition algorithm of the AI technology through the obtained driving license and/or the vehicle picture so as to improve the picture shooting quality and the recognition accuracy of the recognition algorithm; the method for improving the picture shooting quality and the recognition accuracy of the recognition algorithm can be implemented by referring to the existing methods in the related art, and is not described herein in detail.
The embodiment of the invention also provides a computer storage medium, wherein a computer program is stored in the computer storage medium, and when being executed by a processor, the computer program realizes the method for realizing the information processing.
An embodiment of the present invention further provides a terminal, including: a memory and a processor, the memory having stored therein a computer program; wherein,
the processor is configured to execute the computer program in the memory;
the computer program, when executed by a processor, implements a method of implementing information processing as described above.
Fig. 3 is a block diagram of an apparatus for implementing information processing according to an embodiment of the present invention, as shown in fig. 3, including: a determination unit and a processing unit; wherein,
the determination unit is configured to: determining whether the check information inconsistent with the input information has an identification error according to a preset strategy;
the processing unit is configured to: and when the identification error exists in the check information inconsistent with the input information, judging that the check information is consistent with the input information. The embodiment of the invention analyzes the check information inconsistent with the input information to judge whether the check information is wrongly identified or not, and when the check information is judged to be wrongly identified, the check information is consistent with the input information, so that the issue related information judged to be consistent with the input information does not need to be manually processed, the data volume of the issue related information subjected to manual check is reduced, and the check efficiency of the issue data is improved.
In an exemplary embodiment, the determining unit comprises a first determining module configured to:
comparing the checking information with prestored comparison information; and determining whether the verification information has identification errors according to the comparison result.
In one illustrative example, the first determining module is configured to:
checking that the information is all people, and determining that all people have identification errors when more than one word contained in all people is different from all pre-stored name word information;
the checking information is an address, and when the address is not matched with all the pre-stored address information, the address is determined to have an identification error;
checking that the information is the use property, and determining that the use property has identification errors when the use property does not belong to the pre-stored use property classification information;
the checking information comprises brand models, and when the brand models do not belong to pre-stored brand model classification information, the brand models are determined to have identification errors.
In an exemplary embodiment, the comparison information of the various kinds of check information may be a data set or a database for comparison; for example, the person name information may include a person name database existing in the related art; the address information may include an address database existing in the related art.
In an exemplary embodiment, the determining unit comprises a second determining module configured to:
when the checking information comprises the vehicle identification code and the vehicle identification code does not accord with the generation rule of the vehicle identification code, determining that the vehicle identification code has an identification error;
when the checking information comprises the number plate number and the vehicle type and the number plate number is not matched with the vehicle type, determining that the number plate number and the vehicle type have identification errors;
when the checking information comprises the number of the approved passengers, determining all the approved passengers contained in the vehicle with the brand model according to the brand model in the current issuing data; when the number of the approved persons is not contained in all the confirmed numbers of the approved persons, determining that the number of the approved persons has identification errors;
when the checking information comprises the certification date, determining the earliest issuing time of the vehicle with the brand model according to the brand model in the current issuing data; and when the certificate issuing date is earlier than the determined earliest issuing time, determining that the certificate issuing date has an identification error.
In an exemplary embodiment, the embodiment of the present invention may set a corresponding distinguishing identifier for each type of checking information; and when the verification information is determined to have no identification error, judging that the verification information is inconsistent with the input information, and feeding back a distinguishing identifier corresponding to the verification information.
After the distinguishing mark is fed back, relevant workers can determine specific checking information inconsistent with the input information according to the distinguishing mark, and perform manual checking after the relevant data is consulted and issued through the determined specific checking information.
It will be understood by those of ordinary skill in the art that all or some of the steps of the methods, systems, functional modules/units in the devices disclosed above may be implemented as software, firmware, hardware, and suitable combinations thereof. In a hardware implementation, the division between functional modules/units mentioned in the above description does not necessarily correspond to the division of physical components; for example, one physical component may have multiple functions, or one function or step may be performed by several physical components in cooperation. Some or all of the components may be implemented as software executed by a processor, such as a digital signal processor or microprocessor, or as hardware, or as an integrated circuit, such as an application specific integrated circuit. Such software may be distributed on computer readable media, which may include computer storage media (or non-transitory media) and communication media (or transitory media). The term computer storage media includes volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data, as is well known to those of ordinary skill in the art. Computer storage media includes, but is not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, Digital Versatile Disks (DVD) or other optical disk storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other medium which can be used to store the desired information and which can accessed by a computer. In addition, communication media typically embodies computer readable instructions, data structures, program modules or other data in a modulated data signal such as a carrier wave or other transport mechanism and includes any information delivery media as known to those skilled in the art.
Claims (10)
1. A method of implementing information processing, comprising:
determining whether the check information inconsistent with the input information has an identification error according to a preset strategy;
and when the identification error exists in the check information inconsistent with the input information, judging that the check information is consistent with the input information.
2. The method of claim 1, wherein the determining whether the check information inconsistent with the input information has the recognition error according to the preset strategy comprises:
comparing the checking information with prestored comparison information;
and determining whether the verification information has identification errors according to the comparison result.
3. The method of claim 2,
when the check information includes all persons, the comparison information includes more than one piece of name word information, and whether the check information has an identification error or not is determined according to the comparison result, including: determining that the owner has an identification error when more than one word contained in the owner is different from all the name word information;
when the check information includes an address, the comparison information includes more than one piece of address information, and determining whether the check information has an identification error according to a comparison result includes: when the address is not matched with the address information, determining that the address has an identification error;
when the check information includes the use property, the comparison information includes more than one use property classification information, and the determining whether the check information has an identification error according to the comparison result includes: determining that the use property has an identification error when the use property is different from all the use property classification information;
when the check information includes a brand model, the brand information includes more than one brand model classification information, and determining whether the check information has an identification error according to a comparison result includes: and determining that the brand model has identification errors when the brand model is different from all the brand model classification information.
4. The method according to any one of claims 1 to 3, wherein the determining whether the check information inconsistent with the input information has the identification error according to the preset strategy comprises:
when the check information comprises a vehicle identification code and the vehicle identification code does not conform to the generation rule of the vehicle identification code, determining that the vehicle identification code has an identification error;
when the checking information comprises a number plate number and a vehicle type, and the number plate number is determined not to be matched with the vehicle type, determining that the number plate number and the vehicle type have identification errors;
when the checking information comprises the number of the approved passengers, determining all the approved passengers contained in the vehicle with the brand model according to the brand model in the current issuing data; when the number of the approved persons is not contained in all the determined numbers of the approved persons, determining that the number of the approved persons has identification errors;
when the checking information comprises the certification date, determining the earliest issuing time of the vehicle with the brand model according to the brand model in the current issuing data; determining that there is an identification error in the issue date when the issue date is earlier than the determined earliest issue time.
5. A computer storage medium having stored therein a computer program which, when executed by a processor, implements a method of implementing information processing as claimed in any one of claims 1 to 4.
6. A terminal, comprising: a memory and a processor, the memory having a computer program stored therein; wherein,
the processor is configured to execute the computer program in the memory;
the computer program, when executed by the processor, implements a method of implementing information processing as claimed in any of claims 1-4.
7. An apparatus for implementing information processing, comprising: a determination unit and a processing unit; wherein,
the determination unit is configured to: determining whether the check information inconsistent with the input information has an identification error according to a preset strategy;
the processing unit is configured to: and when the identification error exists in the check information inconsistent with the input information, judging that the check information is consistent with the input information.
8. The apparatus of claim 7, wherein the determining unit comprises a first determining module configured to:
comparing the checking information with prestored comparison information; and determining whether the verification information has identification errors according to the comparison result.
9. The apparatus of claim 8, wherein the first determining module is configured to:
the checking information is an owner, and when more than one word contained in the owner is different from all the pre-stored name word information, the owner is determined to have an identification error;
the check information is an address, and when the address is not matched with all the pre-stored address information, the address is determined to have an identification error;
the checking information is a use property, and when the use property does not belong to pre-stored use property classification information, the use property is determined to have an identification error;
the checking information comprises brand models, and when the brand models do not belong to pre-stored brand model classification information, the brand models are determined to have identification errors.
10. The apparatus according to any one of claims 6 to 9, wherein the determining unit comprises a second determining module configured to:
when the check information comprises a vehicle identification code and the vehicle identification code does not conform to the generation rule of the vehicle identification code, determining that the vehicle identification code has an identification error;
when the checking information comprises a number plate number and a vehicle type and the number plate number is not matched with the vehicle type, determining that the number plate number and the vehicle type have identification errors;
when the checking information comprises the number of the approved passengers, determining all the approved passengers contained in the vehicle with the brand model according to the brand model in the current issuing data; when the number of the approved persons is not contained in all the determined numbers of the approved persons, determining that the number of the approved persons has identification errors;
when the checking information comprises the certification date, determining the earliest issuing time of the vehicle with the brand model according to the brand model in the current issuing data; determining that there is an identification error in the issue date when the issue date is earlier than the determined earliest issue time.
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| CN202010376439.XA CN111708766A (en) | 2020-05-07 | 2020-05-07 | Method, device, computer storage medium and terminal for realizing information processing |
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| CN202010376439.XA CN111708766A (en) | 2020-05-07 | 2020-05-07 | Method, device, computer storage medium and terminal for realizing information processing |
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| CN204143524U (en) * | 2014-10-31 | 2015-02-04 | 钱仁贵 | With capacity checking device without card Car license recognition parking lot management equipment |
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| CN106650722A (en) * | 2017-01-03 | 2017-05-10 | 北京航星永志科技有限公司 | Information check method and apparatus |
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Application publication date: 20200925 |