CN114549091B - Data processing method, apparatus and computer readable storage medium - Google Patents
Data processing method, apparatus and computer readable storage medium Download PDFInfo
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Abstract
The embodiment of the invention provides a data processing method, data processing equipment and a computer readable storage medium, which are used for acquiring all maintenance records related to a target vehicle; analyzing the fault description information corresponding to each maintenance record, and determining keywords corresponding to the fault description information according to the fault description information; matching the keywords with a preset fault description blacklist and whitelist keyword table; determining the corresponding evaluation score of the maintenance record in a preset first score table; or further analyzing the process category and the project category corresponding to the maintenance record, and determining the corresponding evaluation score of the maintenance record in a preset second evaluation table according to the adjacent project category of the process category; and determining the vehicle condition rating of the target vehicle according to at least one evaluation score corresponding to all the maintenance records associated with the target vehicle so as to obtain a vehicle condition evaluation report. The problem that the vehicle condition evaluation process is complicated is solved.
Description
Technical Field
The present invention relates to the field of computer technologies, and in particular, to a data processing method, device, and computer readable storage medium.
Background
In the used-vehicle transaction, the vehicle condition information of the used vehicle is an important factor of a consumer as a purchase reference, however, the vehicle condition information of the used-vehicle transaction market is not transparent at present, and for the consumer who does not know the used vehicle, a buyer lacks authoritative and reliable vehicle condition information, and objective evaluation of the vehicle condition information of the used vehicle is difficult.
The vehicle maintenance record is used for archiving the maintenance data of each time of the vehicle, and comprises vehicle information, maintenance enterprise information, factory entry time, settlement time, service mileage, fault description, maintenance items, maintenance accessories and other vehicle maintenance data. The method usually comprises the steps that a professional vehicle repair worker inspects vehicles on site or checks the maintenance records of the vehicles through a channel to judge vehicle conditions manually, the method consumes manpower and financial resources, meanwhile, the influence of personnel quality and other human factors exists, and the fairness and the justness of second-hand vehicle transaction are difficult to guarantee. The maintenance records of the vehicle cannot directly reflect the vehicle condition information, and the vehicle condition can be correctly evaluated only by means of the vehicle-related professional knowledge, so that the current vehicle condition evaluation has the problems of complex data analysis mode and complicated evaluation process.
The above is only for the purpose of assisting understanding of the technical solution of the present invention, and does not represent an admission that the above is the prior art.
Disclosure of Invention
The invention mainly aims to provide a data processing method, and aims to solve the problem of low vehicle condition evaluation efficiency.
In order to achieve the above object, the present invention provides a data processing method, including:
acquiring all maintenance records related to the target vehicle;
analyzing fault description information corresponding to each maintenance record, and determining keywords corresponding to the fault description information according to the fault description information;
matching the keywords with a preset fault description blacklist and whitelist keyword table, wherein the fault description blacklist and whitelist keyword table comprises a blacklist keyword table and a whitelist keyword table;
when the keywords are matched with a preset white list keyword table, determining corresponding evaluation scores of the maintenance records in a preset first score table; or when the keyword is matched with a corresponding keyword table in a preset blacklist keyword table, further analyzing a process category and a project category corresponding to the maintenance record, and determining an evaluation score corresponding to the maintenance record in a preset second evaluation table according to the adjacent project category of the process category;
and determining the vehicle condition rating of the target vehicle according to at least one evaluation score corresponding to all the maintenance records associated with the target vehicle so as to obtain a vehicle condition evaluation report.
Optionally, after the step of obtaining all the service records related to the target vehicle, the method further includes:
acquiring the blacklist keyword table, the white list keyword table and a process type keyword table corresponding to the process type;
and generating a vehicle condition rating comparison table according to the blacklist keyword table, the white list keyword table and the process key word table, wherein the vehicle condition rating comparison table comprises the first scoring table and the second scoring table.
Optionally, the further analyzing the process category and the project category corresponding to the maintenance record includes:
analyzing maintenance items and accessory information corresponding to the maintenance records, and further identifying all corresponding process categories and item category keywords in the maintenance items and the accessory information;
determining the keywords matched with the process type keyword table in the keywords of the process types to obtain the process types corresponding to the maintenance records;
determining the item categories adjacent to the process category.
Optionally, when the keyword is matched to the preset white list keyword table, determining the evaluation score corresponding to the maintenance record in the preset first score table includes:
acquiring white list keywords matched with the keywords in the white list keyword table;
determining the rating score associated with the keyword in the first rating table.
Optionally, determining, according to the process category and the project category corresponding to the maintenance record, an evaluation score corresponding to the maintenance record in a preset second score table includes:
acquiring the process category and the project category corresponding to the maintenance record;
and determining the evaluation score of the process category and the project category in association with each other in a preset second evaluation table.
Optionally, determining the vehicle condition rating of the target vehicle according to the at least one evaluation score corresponding to all service records associated with the target vehicle comprises:
determining a minimum value of the scores in the evaluation scores;
determining the vehicle condition rating of the target vehicle according to the minimum value.
Optionally, the determining the vehicle condition rating of the target vehicle according to the at least one evaluation score corresponding to all the service records associated with the target vehicle comprises:
determining an evaluation grade area corresponding to the evaluation score;
taking the weight score associated with the evaluation grade region to which the evaluation score belongs as the weight score corresponding to the evaluation score;
determining the condition rating of the target vehicle based on the evaluation score and the weight score.
Optionally, the obtaining of the vehicle condition evaluation report includes:
determining a maintenance item and a maintenance material corresponding to the maintenance record;
determining a maintenance type corresponding to the maintenance record according to the keywords of the maintenance project and the keywords corresponding to the maintenance materials;
and determining the accident type of the target vehicle according to the maintenance type and the vehicle condition rating.
Furthermore, to achieve the above object, the present invention also provides a data processing device comprising a memory, a processor and a data processing program stored on the memory and operable on the processor, the data processing program implementing the steps of the data processing program method as described above when executed by the processor.
The embodiment of the invention provides a data processing method, data processing equipment and a computer readable storage medium, which are used for acquiring all maintenance records related to a target vehicle; analyzing fault description information corresponding to each maintenance record, and determining keywords corresponding to the fault description information according to the fault description information; matching the keywords with a preset fault description blacklist and whitelist keyword table, wherein the fault description blacklist and whitelist keyword table comprises a blacklist keyword table and a whitelist keyword table; when the keywords are matched with a preset white list keyword table, determining the corresponding evaluation score of the maintenance record in a preset first score table; or when the keyword is matched with a corresponding keyword table in a preset blacklist keyword table, further analyzing a process category and a project category corresponding to the maintenance record, and determining an evaluation score corresponding to the maintenance record in a preset second evaluation table according to the adjacent project category of the process category; and determining the vehicle condition rating of the target vehicle according to at least one evaluation score corresponding to all the maintenance records associated with the target vehicle so as to obtain a vehicle condition evaluation report. The efficiency of the vehicle condition evaluation process is improved, and the problem that the vehicle condition evaluation process is complicated is solved.
The technology is based on a national automobile maintenance electronic health file system to analyze the maintenance data (such as the time of entering the factory, the mileage of sending and repairing, the fault description, the maintenance items and the field information of maintenance accessories) of the automobile all the time, accurately identify the water soaking vehicle, the burning vehicle, the accident vehicle and other abnormal conditions, have a decisive role in the value evaluation of the second-hand vehicle, help buyers master the real vehicle conditions, further standardize the transaction market of the second-hand vehicle, and make the buying and selling more transparent.
Drawings
FIG. 1 is a diagram illustrating a hardware architecture of a data processing apparatus according to an embodiment of the present invention;
FIG. 2 is a flowchart illustrating a data processing method according to a first embodiment of the present invention;
FIG. 3 is a flowchart illustrating a data processing method according to a second embodiment of the present invention;
FIG. 4 is a detailed flowchart of step S30 in the third embodiment of the data processing method according to the present invention;
FIG. 5 is a schematic diagram illustrating another detailed process of step S30 in the fourth embodiment of the data processing method according to the present invention;
FIG. 6 is a schematic diagram illustrating another detailed process of step S30 in the fifth embodiment of the data processing method according to the present invention;
FIG. 7 is a detailed flowchart of step S40 in the sixth embodiment of the data processing method according to the present invention;
FIG. 8 is a schematic diagram illustrating another detailed process of step S40 in the seventh embodiment of the data processing method according to the present invention;
FIG. 9 is a schematic diagram illustrating another detailed flow of step S40 in the eighth embodiment of the data processing method according to the present invention;
fig. 10 is an overall flow chart of the vehicle condition rating of the present invention.
The implementation, functional features and advantages of the present invention will be further described with reference to the accompanying drawings.
Detailed Description
It is to be understood that the appended drawings illustrate exemplary embodiments of the invention, which may be embodied in various forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art.
As an implementation, the data processing apparatus may be as shown in fig. 1.
The embodiment scheme of the invention relates to a data processing device, which comprises: a processor 101, e.g. a CPU, a memory 102, a communication bus 103. Wherein the communication bus 103 is used for enabling the connection communication between these components.
The memory 102 may be a high-speed RAM memory or a non-volatile memory (e.g., a disk memory). As shown in fig. 1, a memory 102, which is a kind of computer-readable storage medium, may include therein a data processing program; and the processor 101 may be configured to call the data processing program stored in the memory 102 and perform the following operations:
acquiring all maintenance records related to the target vehicle;
analyzing fault description information corresponding to each maintenance record, and determining keywords corresponding to the fault description information according to the fault description information;
matching the keywords with a preset fault description black and white list keyword table, wherein the fault description black and white list keyword table comprises a black list keyword table and a white list keyword table;
when the keywords are matched with a preset white list keyword table, determining the corresponding evaluation score of the maintenance record in a preset first score table; or when the keyword is matched with a corresponding keyword table in a preset blacklist keyword table, further analyzing a process category and a project category corresponding to the maintenance record, and determining an evaluation score corresponding to the maintenance record in a preset second evaluation table according to the adjacent project category of the process category;
and determining the vehicle condition rating of the target vehicle according to at least one evaluation score corresponding to all the maintenance records associated with the target vehicle so as to obtain a vehicle condition evaluation report.
In one embodiment, the processor 101 may be configured to invoke a data handler stored in the memory 102 and perform the following operations:
acquiring the blacklist keyword table, the white list keyword table and a process type keyword table corresponding to the process type;
and generating a vehicle condition rating comparison table according to the blacklist keyword table, the white list keyword table and the process key word table, wherein the vehicle condition rating comparison table comprises the first scoring table and the second scoring table.
In one embodiment, the processor 101 may be configured to invoke a data handler stored in the memory 102 and perform the following operations:
analyzing maintenance items and accessory information corresponding to the maintenance records, and further identifying all corresponding process categories and item category keywords in the maintenance items and the accessory information;
determining the keywords matched with the process type keyword table in the keywords of the process types to obtain the process types corresponding to the maintenance records;
determining the item categories adjacent to the process category.
In one embodiment, the processor 101 may be configured to invoke a data handler stored in the memory 102 and perform the following operations:
acquiring white list keywords matched with the keywords in the white list keyword table;
determining the rating score associated with the keyword in the first rating table.
In one embodiment, the processor 101 may be configured to invoke a data handler stored in the memory 102 and perform the following operations:
acquiring the process category and the project category corresponding to the maintenance record;
and determining the associated evaluation scores of the process categories and the project categories in a preset second evaluation table.
In one embodiment, the processor 101 may be configured to call a data handler stored in the memory 102 and perform the following operations:
determining a minimum value of the scores in the evaluation scores;
determining the vehicle condition rating of the target vehicle according to the minimum value.
In one embodiment, the processor 101 may be configured to call a data handler stored in the memory 102 and perform the following operations:
determining an evaluation grade area corresponding to the evaluation score;
taking a weight score associated with the evaluation level region to which the evaluation score belongs as the weight score corresponding to the evaluation score;
determining the vehicle condition rating of the target vehicle according to the evaluation score and the weight score.
In one embodiment, the processor 101 may be configured to invoke a data handler stored in the memory 102 and perform the following operations:
determining maintenance items and maintenance materials corresponding to the maintenance records;
determining a maintenance type corresponding to the maintenance record according to the keywords of the maintenance project and the keywords corresponding to the maintenance materials;
and determining the accident type of the target vehicle according to the maintenance type and the vehicle condition rating.
Based on the hardware architecture of the data processing device based on the computer technology, the embodiment of the data processing method is provided.
Referring to fig. 2, in a first embodiment, the data processing method includes the steps of:
step S10, obtaining all maintenance records related to the target vehicle;
in the embodiment, a maintenance record associated with the target vehicle is firstly obtained, the maintenance record table is a record which is preset in the database and contains the previous maintenance of the vehicle, and the data in the vehicle fault maintenance record table can determine the record of the previous maintenance of the vehicle by obtaining the record of the vehicle in the national automobile maintenance electronic health record system.
Step S20, analyzing the fault description information corresponding to each maintenance record, and determining keywords corresponding to the fault description information according to the fault description information;
in this embodiment, after all maintenance records associated with a target vehicle are acquired, fault description information corresponding to each maintenance record is analyzed, and a keyword corresponding to the fault description information is determined according to the fault description information.
Step S30, matching the keywords with a preset fault description blacklist and whitelist keyword table, wherein the fault description blacklist and whitelist keyword table comprises a blacklist keyword table and a whitelist keyword table;
step S40, when the keywords are matched with a preset white list keyword table, determining corresponding evaluation scores of the maintenance records in a preset first score table; or when the keyword is matched with a corresponding keyword table in a preset blacklist keyword table, further analyzing a process category and a project category corresponding to the maintenance record, and determining an evaluation score corresponding to the maintenance record in a preset second evaluation table according to the adjacent project category of the process category;
in this embodiment, the keywords are matched with the collected and sorted fault description black and white list keyword table, and if the maintenance records are matched to the white list without further analysis, the scores are directly given; further resolution is required to proceed to the next step.
And S50, determining the vehicle condition rating of the target vehicle according to at least one evaluation score corresponding to all maintenance records related to the target vehicle so as to obtain a vehicle condition evaluation report.
In the embodiment, based on at least one evaluation score obtained in the above steps, the vehicle condition rating of the target vehicle corresponding to the evaluation scores is determined according to a certain preset rule, and a vehicle condition evaluation report is output.
In the technical scheme that this embodiment provided, through categorised and analytic grade with the maintenance record of vehicle, determine the vehicle condition rating of vehicle, promoted the efficiency of vehicle condition evaluation process, solved the loaded down with trivial details problem of vehicle condition evaluation process.
Referring to fig. 3, in the second embodiment, based on the first embodiment, after the step S10, the method further includes:
step S60, acquiring the blacklist keyword table, the white list keyword table and the process category keyword table corresponding to the process category;
and step S70, generating a vehicle condition rating comparison table according to the blacklist keyword table, the white list keyword table and the process key word table, wherein the vehicle condition rating comparison table comprises the first scoring table and the second scoring table.
Optionally, in this embodiment, the blacklist keyword table, the whitelist keyword table, and the process category keyword table corresponding to the process category are obtained, the whitelist keyword table is a preset white list containing various maintenance information related to maintenance, and if a maintenance record matching the whitelist does not need to be further analyzed, a corresponding score in the first score table is directly given, and the blacklist keyword table corresponds to the second score table, and the vehicle condition rating comparison table including the first score table and the second score table is generated by combining the blacklist keyword table, the whitelist keyword table, and the process category keyword table.
In the technical scheme provided by the embodiment, the vehicle condition rating comparison table is generated through three sets of keyword tables so that the maintenance records of the subsequent target vehicles can be scored according to the vehicle condition rating comparison table, and the efficiency of the vehicle condition evaluation process is improved.
Referring to fig. 4, in the third embodiment, based on the first embodiment, the step S30 includes:
step S31, analyzing maintenance items and accessory information corresponding to the maintenance records, and further identifying all corresponding process categories and item category keywords in the maintenance items and the accessory information;
step S32, determining the keywords matched with the process type keyword table in the keywords of the process types to obtain the process types corresponding to the maintenance records;
step S33, determining the item categories adjacent to the process category.
Optionally, in this embodiment, the maintenance item and the accessory information corresponding to the maintenance record are analyzed, keywords of all process categories and item categories corresponding to the maintenance item and the accessory information are further identified, the keyword matched with the process category keyword table in the keywords of the process categories is determined, the process category corresponding to the maintenance record is obtained, and the item category adjacent to the process category is determined.
In the technical solution provided in this embodiment, the efficiency of vehicle evaluation is improved by analyzing the maintenance items and the accessory information corresponding to the maintenance record, determining all corresponding process categories and item categories in the maintenance items and the accessory information, and then determining the item categories adjacent to the process categories.
Referring to fig. 5, in the fourth embodiment, based on the first embodiment, the step S30 includes:
step S34, acquiring white list keywords matched with the keywords in the white list keyword table;
step S35, determining the evaluation score associated with the keyword in the first evaluation table.
Optionally, in this embodiment, a target keyword matched with the keyword in a white list keyword table is obtained, where the white list keyword table is a preset white list of various maintenance information including maintenance-related keywords, and for a maintenance record matched to the white list without further analysis, the evaluation score associated with the keyword in the preset first score table is directly determined, where the evaluation score may be an optimal or better evaluation score.
In the technical scheme provided by the embodiment, the maintenance information which does not influence the vehicle condition is filtered by directly giving the maintenance record of the vehicle an optimal or better evaluation score, so that the efficiency of the vehicle condition evaluation process is improved.
Referring to fig. 6, in a fifth embodiment, based on the first embodiment, the step S30 further includes:
step S36, acquiring the process category and the project category corresponding to the maintenance record;
and step S37, determining the evaluation scores of the process categories and the project categories in a preset second evaluation table.
Optionally, in this embodiment, when the keyword of the maintenance record is matched to the blacklist keyword table, the process category and the item category corresponding to the maintenance record are obtained, and the evaluation score corresponding to the maintenance record in a preset second score table is determined according to the adjacent item category of the process category.
Exemplarily, reference is made to the following table:
| class 1 process | Class 2 process | Class 3 processes | |
| Category 1 items | A | B | B |
| Category 2 items | B | C | C |
| Category 3 items | B | C | E |
| Category 4 items | C | D | E |
| Category 5 items | E | E | E |
The process categories may include a class of processes: spraying paints; the second type of process comprises the following steps: repairing; three types of processes: replacement type; the item categories may then include a category of items: a removable cover; and (2) two types of items: a removable stiffener; three types of items: a non-removable stiffener; four types of items: upright posts, upper boundary beams and spare tire room floors; five types of items: the system comprises longitudinal beams, a firewall and a shock absorption seat, wherein each project corresponds to three process types, 15 different types are provided in total, and each type corresponds to a corresponding score. And if the shock absorption seat of the target vehicle is repaired, acquiring the evaluation score (grade E) of the second process in the fifth type of project if the keywords of the 'shock absorption seat' correspond to the fifth type of project in the project class and the keywords of the 'repair' class correspond to the second process.
In the technical scheme provided by the embodiment, the maintenance item and the maintenance accessory information corresponding to the maintenance record are identified, the corresponding evaluation score of the maintenance record in the second evaluation table is further analyzed according to the maintenance item and the maintenance accessory information, and the efficiency of the vehicle condition evaluation process is improved.
Referring to fig. 7, in the sixth embodiment, based on the first embodiment, the step S40 includes:
step S41, determining the minimum value of the scores in the evaluation scores;
step S42, determining the vehicle condition rating of the target vehicle according to the minimum value.
Alternatively, the present embodiment provides a way to select a vehicle condition rating for poor evaluation. In the embodiment, the item with the lowest score of all the maintenance fault identifiers is taken as the integral score of the vehicle.
Illustratively, if the damper seat of the vehicle is repaired, the keyword of the damper seat corresponds to a fifth category of the project categories, and the keyword of the repair category corresponds to the second category of processes, the rating of the second category of processes in the fifth category of projects is obtained, the judgment rating is determined to be the level E, the level E is the lowest level of all the evaluation levels, and finally the evaluation level of the vehicle is the level E.
In the technical solution provided in this embodiment, the lowest evaluation level in the target vehicle is used as the overall score of the vehicle, so that the method is a vehicle condition rating method for selecting bad evaluation, and the accuracy of vehicle condition evaluation is improved.
Referring to fig. 8, in the seventh embodiment, based on the first embodiment, the step S40 further includes:
step S43, determining an evaluation grade area corresponding to the evaluation score;
a step S44 of setting, as the weight score corresponding to the evaluation score, a weight score associated with the evaluation level region to which the evaluation score belongs;
step S45, determining the vehicle condition rating of the target vehicle according to the evaluation score and the weight score.
Optionally, the present embodiment provides a way to rate vehicle conditions according to scoring weights. In this embodiment, the evaluation score corresponding to each fault maintenance record includes a corresponding evaluation level region, and the weight score associated with the evaluation level region to which the evaluation score belongs is taken as the weight score corresponding to the evaluation score. For example, the evaluation level region is divided into three evaluation level regions of high, middle and low in order, the different evaluation level regions correspond to different weight scores, and the higher the level region corresponds to the higher the weight score, wherein the higher the weight score, the closer it is to the overall vehicle condition rating of the target vehicle.
In the technical solution provided in this embodiment, the evaluation scores are classified into regions, the evaluation score in the high-ranking region is used as an evaluation reference for preferentially determining the vehicle condition rating, and the overall vehicle condition of the vehicle is evaluated according to the weight of the evaluation score, so that the accuracy of vehicle condition evaluation is improved.
Referring to fig. 9, in the eighth embodiment, based on the first embodiment, the step S40 further includes:
step S46, determining maintenance items and maintenance materials corresponding to the maintenance records;
s47, determining a maintenance type corresponding to the maintenance record according to the keywords of the maintenance project and the keywords corresponding to the maintenance materials;
and S48, determining the accident type of the target vehicle according to the maintenance type and the vehicle condition rating.
Alternatively, the present embodiment provides another way of determining the vehicle condition rating based on the evaluation score. In this embodiment, after the evaluation score corresponding to each maintenance record of the target vehicle is determined, a maintenance item and a maintenance material corresponding to the maintenance record are determined, a maintenance type corresponding to the maintenance record is determined according to a keyword of the maintenance item and a keyword corresponding to the maintenance material, and an accident type of the target vehicle is determined according to the maintenance type and the vehicle condition rating. For example, when a maintenance record of firewall replacement exists in a target vehicle, it is determined that the maintenance type of the target vehicle belongs to a fifth category of third-category process items, a grade E corresponding to the fifth category of third-category process items is obtained in the vehicle condition grade comparison table, and then, according to key word identifiers such as the grade E, the firewall, the replacement and the like, an accident that the target vehicle has caused a fire type (namely, a fire car) is obtained.
In the technical scheme provided by the embodiment, the accident type of the target vehicle is determined through the maintenance type and the vehicle condition rating, so that the accuracy of vehicle condition evaluation is improved.
In addition, referring to fig. 10, fig. 10 is an overall flow diagram of vehicle condition rating, first analyzing a first maintenance record, identifying a fault description keyword in the first maintenance record, assuming that the keyword of the first maintenance record matches with the maintenance white list, directly introducing a rating table, and obtaining a rating a of the first maintenance record; and then analyzing a second maintenance record, further analyzing maintenance items and maintenance accessories in the second maintenance record on the assumption that keywords of the second maintenance record are matched with the blacklist, identifying keywords of all process classes and item classes in the maintenance items and the maintenance accessories, acquiring process class identifications associated with the second maintenance record, finding out the item classes adjacent to the process class identifications, introducing a vehicle condition rating table according to the process classes and the item classes corresponding to the second maintenance record, and giving a score.
Further, analyzing the next maintenance record of the automobile according to the sequence, wherein if the maintenance record is matched with a white list, a score is directly given, and if the maintenance record is matched with a black list, the score is further analyzed and then is scored according to the specific content of the maintenance record;
furthermore, after all the maintenance records are analyzed, a vehicle condition evaluation report is output according to each maintenance record, the contents of the vehicle, including the whole score, the abnormal part information, the maintenance records of all times and the like, are displayed in a visual mode, and the mileage analysis result is displayed.
The invention has the advantages that: a method for analyzing historical maintenance record data of a vehicle is characterized in that the data such as fault description, maintenance items and maintenance accessories are accurately analyzed by identifying the characteristics of maintenance data, the maintenance process and the maintenance items used by each maintenance record are extracted, and then a vehicle condition report of the vehicle is obtained.
In addition, the present invention also provides a data processing apparatus, including: a memory, a processor and a data processing program stored on the memory and executable on the processor, the data processing program, when executed by the processor, implementing the steps of the data processing method as claimed in any one of the above.
Furthermore, the present invention also provides a computer-readable storage medium storing a data processing program which, when executed by a processor, implements the steps of the data processing method according to the above embodiment.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one of 8230, and" comprising 8230does not exclude the presence of additional like elements in a process, method, article, or apparatus comprising the element.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a computer-readable storage medium (such as ROM/RAM, magnetic disk, optical disk) as described above, and includes several instructions for enabling a terminal device (such as a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present invention.
The above description is only a preferred embodiment of the present invention, and is not intended to limit the scope of the present invention, and all equivalent structures or equivalent processes performed by the present invention or directly or indirectly applied to other related technical fields are also included in the scope of the present invention.
Claims (7)
1. A data processing method, characterized by the steps of:
acquiring all maintenance records related to the target vehicle;
acquiring a blacklist keyword table, a white list keyword table and a process type keyword table corresponding to the process type;
generating a vehicle condition rating comparison table according to the blacklist keyword table, the white list keyword table and the process key word table, wherein the vehicle condition rating comparison table comprises a first scoring table and a second scoring table;
analyzing fault description information corresponding to each maintenance record, and determining keywords corresponding to the fault description information according to the fault description information;
matching the keywords with a preset fault description blacklist and whitelist keyword table, wherein the fault description blacklist and whitelist keyword table comprises the blacklist keyword table and the whitelist keyword table;
when the keywords are matched with the white list keyword table, determining the corresponding evaluation score of the maintenance record in the first score table;
if the keywords are not matched with the white list keyword table, matching the keywords with the black list keyword table, and when the keywords are matched with the corresponding keyword table in the black list keyword table, analyzing maintenance items and accessory information corresponding to the maintenance records, and further identifying keywords of all corresponding process categories and item categories in the maintenance items and the accessory information;
determining the keywords matched with a process keyword table in the keywords of the process categories to obtain the process categories corresponding to the maintenance records;
determining the project categories adjacent to the process categories, and determining corresponding evaluation scores of the maintenance records in the second evaluation table according to the project categories adjacent to the process categories, wherein the process categories comprise paint spraying categories, repairing categories and replacing categories, and the project categories are sequentially divided into a first-class project, a second-class project, a third-class project, a fourth-class project and a fifth-class project according to the severity of the maintenance records;
wherein the step of determining the corresponding evaluation score of the maintenance record in a preset second score table according to the project categories adjacent to the process category comprises:
acquiring the process category and the project category corresponding to the maintenance record;
determining the associated evaluation scores of the process categories and the project categories in the second evaluation table;
and determining the vehicle condition rating of the target vehicle according to at least one evaluation score corresponding to all the maintenance records associated with the target vehicle so as to obtain a vehicle condition evaluation report.
2. The data processing method of claim 1, wherein determining the corresponding evaluation score of the maintenance record in a preset first scoring table when the keyword matches a preset white list keyword table comprises:
acquiring white list keywords matched with the keywords in the white list keyword table;
determining the rating score associated with the keyword in the first rating table.
3. The data processing method of claim 1, wherein the determining a vehicle condition rating for the target vehicle based on the at least one evaluation score for all service records associated with the target vehicle comprises:
determining a minimum value of the scores in the evaluation scores;
determining the vehicle condition rating of the target vehicle according to the minimum value.
4. The data processing method of claim 3, wherein said determining a vehicle condition rating for the target vehicle based on at least one of the evaluation scores for all service records associated with the target vehicle comprises:
determining an evaluation grade area corresponding to the evaluation score;
taking a weight score associated with the evaluation level region to which the evaluation score belongs as the weight score corresponding to the evaluation score;
determining the condition rating of the target vehicle based on the evaluation score and the weight score.
5. The data processing method of claim 1, wherein said obtaining a vehicle condition assessment report comprises:
determining maintenance items and maintenance materials corresponding to the maintenance records;
determining a maintenance type corresponding to the maintenance record according to the keywords of the maintenance project and the keywords corresponding to the maintenance materials;
and determining the accident type of the target vehicle according to the maintenance type and the vehicle condition rating.
6. A data processing apparatus, characterized in that the data processing apparatus comprises: memory, a processor and a data processing program stored on the memory and executable on the processor, the data processing program, when executed by the processor, implementing the steps of the data processing method according to any one of claims 1-5.
7. A computer-readable storage medium, on which a data processing program is stored, which when executed by a processor implements the steps of the data processing method according to any one of claims 1 to 5.
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| US6609050B2 (en) * | 2000-01-20 | 2003-08-19 | Daimlerchrysler Corporation | Vehicle warranty and repair computer-networked system |
| CN1818967A (en) * | 2006-03-23 | 2006-08-16 | 北京泰智咨询有限公司 | Status assessing system of vehicle |
| JP2009031047A (en) * | 2007-07-25 | 2009-02-12 | Hitachi Ltd | Vehicle evaluation system |
| US11327475B2 (en) * | 2016-05-09 | 2022-05-10 | Strong Force Iot Portfolio 2016, Llc | Methods and systems for intelligent collection and analysis of vehicle data |
| CN107085768B (en) * | 2017-04-25 | 2020-05-01 | 交通运输部公路科学研究所 | Method for evaluating automobile use reliability |
| CN107085773A (en) * | 2017-05-16 | 2017-08-22 | 交通运输部公路科学研究所 | A kind of system and method for being used to evaluate vehicle in use technology status |
| CN107909416B (en) * | 2017-12-29 | 2021-09-07 | 深圳市轱辘车联数据技术有限公司 | Vehicle price evaluation method and vehicle price evaluation device |
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| CN109934362B (en) * | 2019-02-27 | 2021-09-10 | 深圳市元征科技股份有限公司 | Vehicle detection method and device and terminal equipment |
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| CN112508213A (en) * | 2020-12-25 | 2021-03-16 | 武汉理工大学 | Method and equipment for evaluating residual value of running pure electric automobile |
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