CN113610255B - Method and device for intelligently selecting automobile maintenance shop and computer equipment - Google Patents
Method and device for intelligently selecting automobile maintenance shop and computer equipment Download PDFInfo
- Publication number
- CN113610255B CN113610255B CN202111176037.6A CN202111176037A CN113610255B CN 113610255 B CN113610255 B CN 113610255B CN 202111176037 A CN202111176037 A CN 202111176037A CN 113610255 B CN113610255 B CN 113610255B
- Authority
- CN
- China
- Prior art keywords
- maintenance
- report
- shop
- automobile
- items
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/20—Administration of product repair or maintenance
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/903—Querying
- G06F16/90335—Query processing
- G06F16/90344—Query processing by using string matching techniques
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/10—Office automation; Time management
- G06Q10/103—Workflow collaboration or project management
Abstract
The application relates to the technical field of automobile maintenance, and discloses a method, a device and computer equipment for intelligently selecting an automobile maintenance shop, which can firstly acquire first vehicle data, so as to generate a first report based on the first vehicle data, wherein the first report comprises a plurality of items to be maintained, then maintain the automobile according to the first report, after the maintenance is finished, second vehicle data after the automobile maintenance is acquired again, and a second report is generated based on the second vehicle data, wherein the second report comprises a plurality of parameter values after the maintenance of the plurality of items to be maintained, the maintenance shops where the automobile is located can be scored through the first report and the second report, so as to obtain an evaluation report of the maintenance shop, when the maintenance frequency of the automobile reaches a preset frequency, and the next maintenance is carried out, the optimal maintenance shop can be selected, so that an automobile owner can select the maintenance shop which is most suitable for the automobile type according to the automobile type to carry out the maintenance, the understanding and trust between the owner and the maintenance shop are deepened, and the maintenance convenience is provided for the owner.
Description
Technical Field
The application relates to the technical field of automobile maintenance, in particular to a method and a device for intelligently selecting an automobile maintenance shop and computer equipment.
Background
The automobile needs to be maintained regularly, when an owner needs to maintain or repair the automobile, the owner firstly drives the automobile to an automobile maintenance and repair store (a maintenance shop for short), and then a professional maintainer maintains the automobile, because the majority of owners lack the professional knowledge related to the automobile, the maintenance effect of the maintenance shop on the automobile cannot be known, the professional evaluation of the owner on the maintenance shop can only be given by depending on the surface phenomenon and feeling, and the objective evaluation is difficult to realize; and the maintenance shop in the prior art is eight-flower, and the car owner can not select the maintenance shop which is most suitable for the car type according to the own requirement.
Disclosure of Invention
The main purpose of this application is to provide a method of intelligent selection car dimension guarantor shop, aims at solving the dimension guarantor shop eight flowers among the prior art, and the car owner can't select the technical problem of the dimension guarantor shop that is most suitable for oneself motorcycle type according to self demand.
The application provides a method for intelligently selecting an automobile maintenance shop, which comprises the following steps:
s1, acquiring first vehicle data before vehicle maintenance, and generating a first report according to the first vehicle data;
s2, acquiring second vehicle data after vehicle maintenance, and generating a second report according to the second vehicle data;
s3, scoring the maintenance shop where the automobile is located according to the second report and the first report to obtain an evaluation report;
s4, integrating the first report, the second report and the evaluation report to obtain a maintenance result of a maintenance shop, and storing the maintenance result in a database;
s5, repeating the steps S1-S4, and calculating the number of times of the repeated steps;
s6, judging whether the times reach a preset value or not;
s7, if the times do not reach the preset value, returning to the step S5;
and S8, if the times reach the preset value, extracting the target maintenance shop from the database according to the preset rule.
Preferably, the step S1 of acquiring first vehicle data before vehicle maintenance and generating a first report according to the first vehicle data includes:
s11, reading the VIN code of the automobile;
s12, judging whether the VIN code is matched with the vehicle identification number in the database;
s13, if the VIN code is matched with the vehicle identification number in the database, acquiring first vehicle data before vehicle maintenance according to the VIN code, wherein the first vehicle data comprises oil consumption information, anti-lock braking system information, instrument information and engine tail gas information;
s14, judging whether parts corresponding to the first finished automobile data need to be maintained or not according to the first finished automobile data and preset rules;
s15, if the parts corresponding to the first vehicle data need maintenance, generating maintenance items according to the attributes of the parts;
s16, a plurality of maintenance items are collected to obtain a first report.
Preferably, the step S3 of scoring the vehicle-located maintenance shop based on the second report and the first report to obtain an evaluation report includes:
s31, extracting a plurality of first maintenance items in the first report and a plurality of first numerical values corresponding to the first maintenance items;
s32, extracting a plurality of second maintenance items in the second report and a plurality of second values corresponding to the plurality of second maintenance items;
s33, matching the second maintenance items with the same names with the first maintenance items, and subtracting the matched second numerical values from the first numerical values to obtain a plurality of difference values;
s34, calculating the coefficient of variation of the second maintenance items according to the difference values, wherein the calculation formula is as follows:
wherein, the
The coefficient of variation corresponding to the ith second maintenance item,
the standard deviation of all the difference values corresponding to the ith second maintenance item,
the average value of all difference values corresponding to the ith second maintenance item;
s35, acquiring importance parameters corresponding to a plurality of second maintenance items;
s36, calculating a weight value of each second maintenance item according to the importance parameter and the variation coefficient, wherein the calculation formula is as follows:
wherein the content of the first and second substances,
the weight value of the ith second maintenance item,
the importance parameter corresponding to the ith second maintenance item,
the coefficient of variation corresponding to the ith second maintenance item;
s37, calculating score scores of the second maintenance items according to the variation coefficients and the weight values to obtain an evaluation report, wherein the calculation formula is as follows:
where score represents the sum of the score scores for all second maintenance items.
Preferably, the step S4 of integrating the first report, the second report, and the evaluation report to obtain the maintenance result of the maintenance shop includes:
s41, extracting a plurality of first maintenance items and the first numerical value in the first report;
s42, extracting a plurality of second maintenance items and the second numerical values in the second report;
s43, extracting the score of the second maintenance items in the evaluation report;
s44, performing name matching on the first maintenance project and the second maintenance project, and taking the first maintenance project and the second maintenance project with the same names as target maintenance projects to obtain a plurality of target maintenance projects;
s45, taking the target maintenance project as a column, taking the names of the first numerical value, the second numerical value and the score as a row, and putting the first numerical value, the second numerical value and the score into corresponding coordinate points respectively to obtain a data integration table;
and S46, taking the data integration table as a maintenance result of the maintenance shop.
Preferably, the step S8 of extracting the target dimension store from the database according to the preset rule and pushing the target dimension store to the external intelligent terminal includes:
s81, acquiring first positioning information of the automobile;
s82, taking the first positioning information as an origin point and a preset distance as a radius, and acquiring any maintenance shops within a target range from the database;
s83, sequentially arranging the evaluation reports of any one of the dimension stores according to the size order to obtain a first arrangement result;
s84, second positioning information of any maintenance shop is obtained, and the plurality of second positioning information are respectively subtracted from the first positioning information to obtain a distance value between any maintenance shop and the automobile;
s85, calculating the driving time of the automobile reaching any one of the dimension stores according to the distance value;
and S86, selecting one dimension store as a target dimension store according to the driving time and the first arrangement result and a preset rule.
The application also provides a device of intelligent selection car dimension shop, its characterized in that includes:
the system comprises a first acquisition module, a second acquisition module and a first report generation module, wherein the first acquisition module is used for acquiring first finished automobile data before automobile maintenance and generating a first report according to the first finished automobile data;
the second acquisition module is used for acquiring second vehicle data after vehicle maintenance and generating a second report according to the second vehicle data;
the scoring module is used for scoring the maintenance shop where the automobile is located according to the second report and the first report to obtain an evaluation report;
the integration module is used for integrating the first report, the second report and the evaluation report to obtain a maintenance result of a maintenance shop, and storing the maintenance result into a database;
the repeating module is used for repeating the first acquiring module to the integrating module and calculating the times of repeating steps;
the judging module is used for judging whether the times reach a preset value or not;
the return module is used for returning to the repeating module if the times do not reach the preset value;
and the extraction module is used for extracting the target maintenance shop from the database according to a preset rule if the times reach a preset value.
Preferably, the first obtaining module includes:
the reading unit is used for reading the VIN code of the automobile;
the first judgment unit is used for judging whether the VIN code is matched with the vehicle identification number in the database;
the first matching unit is used for acquiring first vehicle data before vehicle maintenance according to the VIN code if the VIN code is matched with the vehicle identification number in the database, wherein the first vehicle data comprises oil consumption information, anti-lock braking system information, instrument information and engine tail gas information;
the second judging unit is used for respectively judging whether the oil consumption information, the brake anti-lock system information, the instrument information and the engine tail gas information in the first whole vehicle data need to be maintained or not according to preset rules;
and the statistical unit is used for carrying out statistics on the oil consumption information and/or the information of the anti-lock braking system and/or the information of the instrument and/or the information of the tail gas of the engine, which need to be maintained, so as to obtain a first report.
Preferably, the scoring module includes:
a first extraction unit configured to extract a plurality of first maintenance items in the first report and a plurality of first numerical values corresponding to the plurality of first maintenance items;
a second extraction unit configured to extract a plurality of second maintenance items in the second report and a plurality of second numerical values corresponding to the plurality of second maintenance items;
the second matching unit is used for matching the second maintenance items with the same names with the first maintenance items and subtracting the matched second numerical values from the first numerical values to obtain a plurality of difference values;
a first calculating unit, configured to calculate a coefficient of variation of the second maintenance items according to the difference values, where the calculation formula is:
wherein, the
The coefficient of variation corresponding to the ith second maintenance item,
the standard deviation of all the difference values corresponding to the ith second maintenance item,
the average value of all difference values corresponding to the ith second maintenance item;
the acquisition unit is used for acquiring importance parameters corresponding to a plurality of second maintenance items;
a second calculating unit, configured to calculate a weight value of each second maintenance item according to the importance parameter and the variation coefficient, where a calculation formula is:
wherein the content of the first and second substances,
the weight value of the ith second maintenance item,
the importance parameter corresponding to the ith second maintenance item,
the coefficient of variation corresponding to the ith second maintenance item;
a third calculating unit, configured to calculate score scores of the second maintenance items according to the variation coefficient and the weight values, so as to obtain an evaluation report, where the calculation formula is:
where score represents the sum of the score scores for all second maintenance items.
The application also provides computer equipment which comprises a memory and a processor, wherein the memory stores a computer program, and the processor realizes the steps of the method for intelligently selecting the automobile maintenance shop when executing the computer program.
The present application also provides a computer readable storage medium having stored thereon a computer program that, when executed by a processor, performs the steps of the above-described method for intelligently selecting an automobile maintenance shop.
The beneficial effect of this application does: first vehicle data is acquired, so that a first report is generated based on the first vehicle data, the first report comprises a plurality of items to be maintained, the vehicle is maintained according to the first report, second vehicle data after the vehicle is maintained is acquired again after the maintenance is finished, and generating a second report based on the second vehicle data, wherein the second report comprises a plurality of parameter values after the maintenance of a plurality of to-be-maintained items, the repair shop where the vehicle is located can be scored through the first report and the second report, so as to obtain the evaluation report of the maintenance shop, when the maintenance frequency of the automobile reaches the preset frequency and the next maintenance is carried out, the optimal maintenance shop can be selected, therefore, the vehicle owner can select the maintenance shop most adaptive to the vehicle type to maintain according to the vehicle type, the understanding and trust between the vehicle owner and the maintenance shop are deepened, and the maintenance convenience is provided for the vehicle owner.
Drawings
Fig. 1 is a schematic flow chart of a method for intelligently selecting an automobile maintenance shop according to an embodiment of the present application.
Fig. 2 is a schematic structural diagram of an apparatus for intelligently selecting an automobile maintenance shop according to an embodiment of the present application.
Fig. 3 is a schematic diagram of an internal structure of a computer device according to an embodiment of the present application.
The implementation, functional features and advantages of the objectives of the present application will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
As shown in fig. 1 to fig. 3, the present application provides a method for intelligently selecting an automobile maintenance shop, which is applied to an on-board system or an intelligent terminal, where the intelligent terminal may be a mobile device with data transmission and processing, such as a mobile phone, a diagnostic device, and the method includes:
s1, acquiring first vehicle data before vehicle maintenance, and generating a first report according to the first vehicle data;
s2, acquiring second vehicle data after vehicle maintenance, and generating a second report according to the second vehicle data;
s3, scoring the maintenance shop where the automobile is located according to the second report and the first report to obtain an evaluation report;
s4, integrating the first report, the second report and the evaluation report to obtain a maintenance result of a maintenance shop, and storing the maintenance result in a database;
s5, repeating the steps S1-S4, and calculating the number of times of the repeated steps;
s6, judging whether the times reach a preset value or not;
s7, if the times do not reach the preset value, returning to the step S5;
and S8, if the times reach the preset value, extracting the target maintenance shop from the database according to the preset rule.
In the prior art, if a car owner wants to maintain a car and the prices and technologies of all maintenance stores are unknown, scores of all maintenance stores are usually searched on some software with store evaluation, and then one maintenance store is selected for maintenance, the scores of maintenance stores on the software are usually evaluated by car owners of multiple car types, and due to the lack of professional knowledge of the car owners on the car, when most customers evaluate the maintenance stores, the credibility of the professional evaluation is low, most of the customers score the service attitudes, so the evaluation is often in two-level differentiation, some car owners consider that the maintenance is very professional, and some car owners consider that the experience of the maintenance stores is poor, therefore, the maintenance stores adapted to the car owner or the maintenance stores with very good maintenance effects are difficult to select by the mode of the car type, and the scores of the maintenance stores are not large in reference value to the car owner, therefore, how to select the maintenance shop matched with the car owner from the eight-door maintenance shops has great significance for the car owner. Based on this, as described in the above steps S1-S8, before the maintenance of the vehicle, the present application may first obtain first vehicle data once, so as to generate a first report based on the first vehicle data, where the first report includes a plurality of items to be maintained, then maintain the vehicle according to the first report, after the maintenance is completed, obtain second vehicle data after the maintenance of the vehicle again, and generate a second report based on the second vehicle data, where the second report includes a plurality of parameter values after the maintenance of the plurality of items to be maintained, and after the first report and the second report are generated, the first report and the second report may be sent to a vehicle-mounted system or a mobile phone of a user, and the user may visually know an effect achieved after the maintenance of the vehicle by comparing the parameter values in the first report and the second report, so as to know a maintenance effect of the maintenance shop; the maintenance shop where the automobile is located can be scored through the first report and the second report, so that an evaluation report of the maintenance shop is obtained; since the maintenance time of the vehicle is not fixed, for example, if the engine oil of some vehicle types is mineral oil, the vehicle needs to be maintained for 5000 kilometers, the interval of the maintenance time is about 6 months, if the engine oil of some vehicle types is fully synthetic oil, the vehicle needs to be maintained for 10000 kilometers, the interval of the maintenance time is about 12 months, and the maintenance time is varied from 1 to 3 months, after the vehicle owner randomly selects a maintenance shop to perform maintenance on the vehicle, no matter whether the maintenance effect of the maintenance shop is excellent or not, when the maintenance shop is performed next time, the maintenance shop is not remembered for the last time, and after the maintenance shop is performed, whether the maintenance effect of the maintenance shop is excellent or not cannot be determined, so that in order to find the optimal maintenance shop, steps S1-S4 can be repeated for several times, that when the user maintains the vehicle once, a first report of the maintenance is generated, The maintenance frequency of the automobile reaches the preset frequency, the optimal maintenance shop can be selected from the database when the automobile is maintained next time, the optimal maintenance shop is removed for maintenance, and therefore the automobile owner can select the maintenance shop which is most adaptive to the automobile type according to the automobile type to maintain, understanding and trust between the automobile owner and the maintenance shop are deepened, and maintenance convenience is provided for the automobile owner.
In one embodiment, the step S1 of acquiring first vehicle data before vehicle maintenance and generating a first report according to the first vehicle data includes:
s11, reading the VIN code of the automobile;
s12, judging whether the VIN code is matched with the vehicle identification number in the database;
s13, if the VIN code is matched with the vehicle identification number in the database, acquiring first vehicle data before vehicle maintenance according to the VIN code, wherein the first vehicle data comprises oil consumption information, anti-lock braking system information, instrument information and engine tail gas information;
s14, judging whether parts corresponding to the first finished automobile data need to be maintained or not according to the first finished automobile data and preset rules;
s15, if the parts corresponding to the first vehicle data need maintenance, generating maintenance items according to the attributes of the parts;
s16, a plurality of maintenance items are collected to obtain a first report.
As described in the foregoing steps S11-S16, when the first vehicle data is obtained, the first vehicle data of the vehicle can be known by reading the VIN code of the vehicle, where the first vehicle data mainly includes information to be maintained, such as fuel consumption information, information of a brake anti-lock system, meter information, engine exhaust information, and the like, and before the vehicle is maintained, the information can be obtained, and then the information is compared with the information in a normal state, so as to determine which parts of the vehicle need to be maintained, and then a maintenance item is generated according to the maintenance item, and a plurality of maintenance items are summarized, that is, the first report is generated.
In one embodiment, the step S3 of scoring the vehicle-located maintenance shop according to the second report and the first report to obtain an evaluation report includes:
s31, extracting a plurality of first maintenance items in the first report and a plurality of first numerical values corresponding to the first maintenance items;
s32, extracting a plurality of second maintenance items in the second report and a plurality of second values corresponding to the plurality of second maintenance items;
s33, matching the second maintenance items with the same names with the first maintenance items, and subtracting the matched second numerical values from the first numerical values to obtain a plurality of difference values;
s34, calculating the coefficient of variation of the second maintenance items according to the difference values, wherein the calculation formula is as follows:
wherein, the
The coefficient of variation corresponding to the ith second maintenance item,
the standard deviation of all the difference values corresponding to the ith second maintenance item,
the average value of all difference values corresponding to the ith second maintenance item;
s35, acquiring importance parameters corresponding to a plurality of second maintenance items;
s36, calculating a weight value of each second maintenance item according to the importance parameter and the variation coefficient, wherein the calculation formula is as follows:
wherein the content of the first and second substances,
the weight value of the ith second maintenance item,
the importance parameter corresponding to the ith second maintenance item,
the coefficient of variation corresponding to the ith second maintenance item;
s37, calculating score scores of the second maintenance items according to the variation coefficients and the weight values to obtain an evaluation report, wherein the calculation formula is as follows:
where score represents the sum of the score scores for all second maintenance items.
When a maintenance shop where the automobile is located is classified, as described in steps S31-S37, first, a plurality of first maintenance items in a first report and first numerical values corresponding to the first maintenance items are extracted, and it is determined whether the component needs to be maintained, and usually one numerical value is not obtained, and for example, when it is determined whether the engine needs to be maintained, first numerical values such as power, torque, oil pressure, and cylinder pressure of the engine need to be obtained, so the first numerical values may be a plurality of, and the first numerical values are represented by numbers within 0 to 100, and different numbers represent different qualities, for example, 60 minutes or more, which indicates that the component is normally functioning without maintenance, and 60 minutes or less, which indicates that the component is reduced in function and needs to be maintained, for example, the first maintenance items are: the engine, its corresponding first numerical value can be power 30, torque 40, oil pressure 39, cylinder pressure 46 respectively, the braking anti-lock system is maintained, its corresponding first numerical value is 23, 56, 39, 12, 28 respectively, the instrument is maintained, its corresponding first numerical value is 14, 26, 39, 25 respectively, then a plurality of second maintenance items in the second report and its corresponding second numerical value are extracted, for example, the second maintenance items are: the brake anti-lock system maintenance is performed, the corresponding second numerical values are 90, 88, 85, 90 and 95, the instrument maintenance is performed, the corresponding second numerical values are 88, 90 and 95, the engine is performed, the corresponding second numerical values are 90, 97, 85 and 100, at this time, the second maintenance items with the same name are matched with the first maintenance items, the second numerical values after matching are subtracted from the first numerical values, and the difference value can be obtained by taking the engine as an example: 60. 37, 46 and 54, calculating the coefficient of variation of the engine according to the plurality of difference values, wherein the standard deviation of the engine is approximately equal to 8.6, the average value of the difference values of the engine is 49.25, multiplying 8.6 by 49.25 to obtain the coefficient of variation of the engine, and calculating the coefficient of variation of other second maintenance items according to the steps in sequence, which is not described herein again; then obtaining the importance parameter of the engine, wherein the importance parameter is the parameter which most affects the engine factors, such as the self weight of the automobile, the volume of the gasoline, and the like, for example, the importance parameter is 56, and then the importance parameter can be obtained according to the formula
And calculating the weight values of the engine in all the second maintenance items, so that which second maintenance item is better maintained by the maintenance shop can be known according to the weight values, and finally adding the weight values to obtain an evaluation report of the maintenance shop. Through the steps, after the automobile is maintained, the maintenance effect of the maintenance shop can be objectively evaluated according to the specific situation after the automobile is maintained, the evaluation report has a reference value relative to the evaluation made by the automobile owner according to the self feeling, and the client can comprehensively know the specialty of the maintenance shop through the evaluation report, so that the client is prevented from being cheated.
In one embodiment, the step S4 of integrating the first report, the second report, and the evaluation report to obtain the maintenance result of the maintenance shop includes:
s41, extracting a plurality of first maintenance items and the first numerical value in the first report;
s42, extracting a plurality of second maintenance items and the second numerical values in the second report;
s43, extracting the score of the second maintenance items in the evaluation report;
s44, performing name matching on the first maintenance project and the second maintenance project, and taking the first maintenance project and the second maintenance project with the same names as target maintenance projects to obtain a plurality of target maintenance projects;
s45, taking the target maintenance project as a column, taking the names of the first numerical value, the second numerical value and the score as a row, and putting the first numerical value, the second numerical value and the score into corresponding coordinate points respectively to obtain a data integration table;
and S46, taking the data integration table as a maintenance result of the maintenance shop.
As described in the foregoing steps S41-S46, the synthesized data integration table facilitates storing the vehicle parameters of each maintenance of the vehicle, so that by looking up a plurality of maintenance results, the state of the vehicle after each maintenance can be known within a period of time, thereby deepening the user' S understanding of the use condition of the vehicle.
In one embodiment, the step S8 of extracting the target dimension store from the database according to the preset rule and pushing the target dimension store to the external intelligent terminal includes:
s81, acquiring first positioning information of the automobile;
s82, taking the first positioning information as an origin point and a preset distance as a radius, and acquiring any maintenance shops within a target range from the database;
s83, sequentially arranging the evaluation reports of any one of the dimension stores according to the size order to obtain a first arrangement result;
s84, second positioning information of any maintenance shop is obtained, and the plurality of second positioning information are respectively subtracted from the first positioning information to obtain a distance value between any maintenance shop and the automobile;
s85, calculating the driving time of the automobile reaching any one of the dimension stores according to the distance value;
and S86, selecting one dimension store as a target dimension store according to the driving time and the first arrangement result and a preset rule.
As described in the foregoing steps S81-S87, when the vehicle needs to be maintained, the current first positioning information of the vehicle may be obtained first, then the second positioning information of the maintenance stores within the target range is searched using the first positioning information as an origin, at this time, the evaluation results of the maintenance stores may also be obtained from the database and sequentially sorted according to the size order, so as to find the maintenance stores with higher scores, calculate the time of starting the maintenance stores, and finally select one maintenance store as the target maintenance store according to the time of starting and the sorting result, specifically, the time of starting and the sorting result may be sent to the mobile phone of the user to be displayed on the vehicle-mounted system, the vehicle owner selects the target maintenance store, the user may also input the preset rule to the mobile phone or the vehicle-mounted system, and the mobile phone or the vehicle-mounted system finds the target maintenance store satisfying the condition according to the preset rule, and push it to the cell phone or the vehicle system.
The application also provides a device of intelligent selection car dimension shop, its characterized in that includes:
the system comprises a first acquisition module 1, a first report generation module and a second acquisition module, wherein the first acquisition module is used for acquiring first vehicle data before vehicle maintenance and generating a first report according to the first vehicle data;
the second acquisition module 2 is used for acquiring second vehicle data after vehicle maintenance and generating a second report according to the second vehicle data;
the scoring module 3 is used for scoring the maintenance shop where the automobile is located according to the second report and the first report to obtain an evaluation report;
the integration module 4 is used for integrating the first report, the second report and the evaluation report to obtain a maintenance result of a maintenance shop, and storing the maintenance result into a database;
the repeating module 5 is used for repeating the first acquiring module to the integrating module and calculating the times of repeating steps;
the judging module 6 is used for judging whether the times reach a preset value or not;
a returning module 7, configured to return to the repeating module if the number of times does not reach a preset value;
and the extraction module 8 is used for extracting the target maintenance shop from the database according to a preset rule if the times reach a preset value.
In one embodiment, the first obtaining module 1 includes:
the reading unit is used for reading the VIN code of the automobile;
the first judgment unit is used for judging whether the VIN code is matched with the vehicle identification number in the database;
the first matching unit is used for acquiring first vehicle data before vehicle maintenance according to the VIN code if the VIN code is matched with the vehicle identification number in the database, wherein the first vehicle data comprises oil consumption information, anti-lock braking system information, instrument information and engine tail gas information;
the second judging unit is used for judging whether parts corresponding to the first finished automobile data need to be maintained or not according to the first finished automobile data and a preset rule;
the generating unit is used for generating a maintenance item according to the attribute of the part if the part corresponding to the first vehicle data needs to be maintained;
and the summarizing unit is used for summarizing the plurality of maintenance items to obtain a first report.
In one embodiment, the scoring module 3 comprises:
a first extraction unit configured to extract a plurality of first maintenance items in the first report and a plurality of first numerical values corresponding to the plurality of first maintenance items;
a second extraction unit configured to extract a plurality of second maintenance items in the second report and a plurality of second numerical values corresponding to the plurality of second maintenance items;
the second matching unit is used for matching the second maintenance items with the same names with the first maintenance items and subtracting the matched second numerical values from the first numerical values to obtain a plurality of difference values;
a first calculating unit, configured to calculate a coefficient of variation of the second maintenance items according to the difference values, where the calculation formula is:
wherein, the
The coefficient of variation corresponding to the ith second maintenance item,
is the ith second maintenance item pairThe standard deviation of all the difference values should be,
the average value of all difference values corresponding to the ith second maintenance item;
the acquisition unit is used for acquiring importance parameters corresponding to a plurality of second maintenance items;
a second calculating unit, configured to calculate a weight value of each second maintenance item according to the importance parameter and the variation coefficient, where a calculation formula is:
wherein the content of the first and second substances,
the weight value of the ith second maintenance item,
the importance parameter corresponding to the ith second maintenance item,
the coefficient of variation corresponding to the ith second maintenance item;
a third calculating unit, configured to calculate score scores of the second maintenance items according to the variation coefficient and the weight values, so as to obtain an evaluation report, where the calculation formula is:
where score represents the sum of the score scores for all second maintenance items.
In one embodiment, the integration module 4 comprises:
a third extracting unit, configured to extract the plurality of first maintenance items and the first numerical value in the first report;
a fourth extracting unit, configured to extract the plurality of second maintenance items and the second numerical value in the second report;
a fifth extraction unit configured to extract the score points of the plurality of second maintenance items in the evaluation report;
a name matching unit, configured to perform name matching on the first maintenance item and the second maintenance item, and obtain a plurality of target maintenance items by using the first maintenance item and the second maintenance item with the same name as a target maintenance item;
the data integration unit is used for taking the target maintenance project as a column, taking the names of the first numerical value, the second numerical value and the score as a row respectively, and putting the first numerical value, the second numerical value and the score into corresponding coordinate points respectively to obtain a data integration table;
and the unit is used for taking the data integration table as a maintenance result of the maintenance shop.
In one embodiment, the extraction module 8 comprises:
the first positioning information acquisition unit is used for acquiring first positioning information of the automobile;
the searching unit is used for acquiring any maintenance stores in a target range from the database by taking the first positioning information as an origin and a preset distance as a radius;
the arrangement unit is used for sequentially arranging the evaluation reports of any maintenance shop according to the size order to obtain a first arrangement result;
the system comprises a first positioning information acquisition unit, a second positioning information acquisition unit and a distance measurement unit, wherein the first positioning information acquisition unit is used for acquiring first positioning information of any maintenance shop, and subtracting the first positioning information from a plurality of pieces of first positioning information to obtain a distance value between any maintenance shop and an automobile;
the fourth calculation unit is used for calculating the driving time of the automobile reaching any maintenance shop according to the distance value;
and the selecting unit is used for selecting one maintenance shop as a target maintenance shop according to the driving time and the first arrangement result and a preset rule.
As shown in fig. 3, the present application also provides a computer device, which may be a server, and the internal structure of which may be as shown in fig. 3. The computer device includes a processor, a memory, a network interface, and a database connected by a system bus. Wherein the computer designed processor is used to provide computational and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store all the data required by the process of intelligently selecting a method of a car maintenance shop. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program, when executed by a processor, implements a method for intelligently selecting a vehicle maintenance shop.
Those skilled in the art will appreciate that the architecture shown in fig. 3 is only a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects may be applied.
An embodiment of the present application further provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements any one of the above methods for intelligently selecting an automobile maintenance shop.
It will be understood by those skilled in the art that all or part of the processes of the methods of the above embodiments may be implemented by hardware associated with instructions of a computer program, which may be stored on a non-volatile computer-readable storage medium, and when executed, may include processes of the above embodiments of the methods. Any reference to memory, storage, database, or other medium provided herein and used in the examples may include non-volatile and/or volatile memory. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), double-rate SDRAM (SSRSDRAM), Enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
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, apparatus, article, or method 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, apparatus, article, or method. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, apparatus, article, or method that includes the element.
The above description is only a preferred embodiment of the present application, and not intended to limit the scope of the present application, and all modifications of equivalent structures and equivalent processes, which are made by the contents of the specification and the drawings of the present application, or which are directly or indirectly applied to other related technical fields, are also included in the scope of the present application.
Claims (8)
1. A method for intelligently selecting an automobile maintenance shop is characterized by comprising the following steps:
s1, acquiring first vehicle data before vehicle maintenance, and generating a first report according to the first vehicle data;
s2, acquiring second vehicle data after vehicle maintenance, and generating a second report according to the second vehicle data;
s3, scoring the maintenance shop where the automobile is located according to the second report and the first report to obtain an evaluation report;
s4, integrating the first report, the second report and the evaluation report to obtain a maintenance result of a maintenance shop, and storing the maintenance result in a database;
s5, repeating the steps S1-S4, and calculating the number of times of the repeated steps;
s6, judging whether the times reach a preset value or not;
s7, if the times do not reach the preset value, returning to the step S5;
s8, if the times reach a preset value, extracting a target maintenance shop from the database according to a preset rule and pushing the target maintenance shop to an external intelligent terminal;
wherein the step S3 of scoring the vehicle-located maintenance shop based on the second report and the first report to obtain an evaluation report includes:
s31, extracting a plurality of first maintenance items in the first report and a plurality of first numerical values corresponding to the first maintenance items;
s32, extracting a plurality of second maintenance items in the second report and a plurality of second values corresponding to the plurality of second maintenance items;
s33, matching the second maintenance items with the same names with the first maintenance items, and subtracting the matched second numerical values from the first numerical values to obtain a plurality of difference values;
s34, calculating the coefficient of variation of the second maintenance items according to the difference values, wherein the calculation formula is as follows:
wherein, the
The coefficient of variation corresponding to the ith second maintenance item,
the standard deviation of all the difference values corresponding to the ith second maintenance item,
the average value of all difference values corresponding to the ith second maintenance item;
s35, acquiring importance parameters corresponding to a plurality of second maintenance items;
s36, calculating a weight value of each second maintenance item according to the importance parameter and the variation coefficient, wherein the calculation formula is as follows:
wherein the content of the first and second substances,
the weight value of the ith second maintenance item,
the importance parameter corresponding to the ith second maintenance item,
the coefficient of variation corresponding to the ith second maintenance item;
s37, calculating score scores of the second maintenance items according to the variation coefficients and the weight values to obtain an evaluation report, wherein the calculation formula is as follows:
score = 
where score represents the sum of the score scores for all second maintenance items.
2. The method for intelligently selecting a vehicle maintenance shop according to claim 1, wherein the step S1 of obtaining first vehicle data before vehicle maintenance and generating a first report according to the first vehicle data comprises:
s11, reading the VIN code of the automobile;
s12, judging whether the VIN code is matched with the vehicle identification number in the database;
s13, if the VIN code is matched with the vehicle identification number in the database, acquiring first vehicle data before vehicle maintenance according to the VIN code, wherein the first vehicle data comprises oil consumption information, anti-lock braking system information, instrument information and engine tail gas information;
s14, judging whether parts corresponding to the first finished automobile data need to be maintained or not according to the first finished automobile data and preset rules;
s15, if the parts corresponding to the first vehicle data need maintenance, generating maintenance items according to the attributes of the parts;
s16, a plurality of maintenance items are collected to obtain a first report.
3. The method for intelligently selecting a vehicle maintenance shop according to claim 1, wherein the step S4 of integrating the first report, the second report, and the evaluation report to obtain a maintenance result of the maintenance shop includes:
s41, extracting a plurality of first maintenance items and the first numerical value in the first report;
s42, extracting a plurality of second maintenance items and the second numerical values in the second report;
s43, extracting the score of the second maintenance items in the evaluation report;
s44, performing name matching on the first maintenance project and the second maintenance project, and taking the first maintenance project and the second maintenance project with the same names as target maintenance projects to obtain a plurality of target maintenance projects;
s45, taking the target maintenance project as a column, taking the names of the first numerical value, the second numerical value and the score as a row, and putting the first numerical value, the second numerical value and the score into corresponding coordinate points respectively to obtain a data integration table;
and S46, taking the data integration table as a maintenance result of the maintenance shop.
4. The method for intelligently selecting the automobile maintenance shop according to claim 1, wherein the step S8 of extracting the target maintenance shop from the database according to the preset rule and pushing the target maintenance shop to the external intelligent terminal comprises:
s81, acquiring first positioning information of the automobile;
s82, taking the first positioning information as an origin point and a preset distance as a radius, and acquiring any maintenance shops within a target range from the database;
s83, sequentially arranging the evaluation reports of any one of the dimension stores according to the size order to obtain a first arrangement result;
s84, second positioning information of any maintenance shop is obtained, and the plurality of second positioning information are respectively subtracted from the first positioning information to obtain a distance value between any maintenance shop and the automobile;
s85, calculating the driving time of the automobile reaching any one of the dimension stores according to the distance value;
and S86, selecting one dimension store as a target dimension store according to the driving time and the first arrangement result and a preset rule.
5. An apparatus for intelligently selecting a car maintenance shop, comprising:
the system comprises a first acquisition module, a second acquisition module and a first report generation module, wherein the first acquisition module is used for acquiring first finished automobile data before automobile maintenance and generating a first report according to the first finished automobile data;
the second acquisition module is used for acquiring second vehicle data after vehicle maintenance and generating a second report according to the second vehicle data;
the scoring module is used for scoring the maintenance shop where the automobile is located according to the second report and the first report to obtain an evaluation report;
the integration module is used for integrating the first report, the second report and the evaluation report to obtain a maintenance result of a maintenance shop, and storing the maintenance result into a database;
the repeating module is used for repeating the first acquiring module to the integrating module and calculating the times of repeating steps;
the judging module is used for judging whether the times reach a preset value or not;
the return module is used for returning to the repeating module if the times do not reach the preset value;
the extraction module is used for extracting a target maintenance shop from the database according to a preset rule and pushing the target maintenance shop to an external intelligent terminal if the times reach a preset value;
the scoring module comprises:
a first extraction unit configured to extract a plurality of first maintenance items in the first report and a plurality of first numerical values corresponding to the plurality of first maintenance items;
a second extraction unit configured to extract a plurality of second maintenance items in the second report and a plurality of second numerical values corresponding to the plurality of second maintenance items;
the second matching unit is used for matching the second maintenance items with the same names with the first maintenance items and subtracting the matched second numerical values from the first numerical values to obtain a plurality of difference values;
a first calculating unit, configured to calculate a coefficient of variation of the second maintenance items according to the difference values, where the calculation formula is:
wherein, the
The coefficient of variation corresponding to the ith second maintenance item,
the standard deviation of all the difference values corresponding to the ith second maintenance item,
the average value of all difference values corresponding to the ith second maintenance item;
the acquisition unit is used for acquiring importance parameters corresponding to a plurality of second maintenance items;
a second calculating unit, configured to calculate a weight value of each second maintenance item according to the importance parameter and the variation coefficient, where a calculation formula is:
wherein the content of the first and second substances,
the weight value of the ith second maintenance item,
the importance parameter corresponding to the ith second maintenance item,
the coefficient of variation corresponding to the ith second maintenance item;
a third calculating unit, configured to calculate score scores of the second maintenance items according to the variation coefficient and the weight values, so as to obtain an evaluation report, where the calculation formula is:
score = 
where score represents the sum of the score scores for all second maintenance items.
6. The apparatus for intelligently selecting an automobile maintenance shop according to claim 5, wherein the first obtaining module comprises:
the reading unit is used for reading the VIN code of the automobile;
the first judgment unit is used for judging whether the VIN code is matched with the vehicle identification number in the database;
the first matching unit is used for acquiring first vehicle data before vehicle maintenance according to the VIN code if the VIN code is matched with the vehicle identification number in the database, wherein the first vehicle data comprises oil consumption information, anti-lock braking system information, instrument information and engine tail gas information;
the second judging unit is used for judging whether parts corresponding to the first finished automobile data need to be maintained or not according to the first finished automobile data and a preset rule;
the generating unit is used for generating a maintenance item according to the attribute of the part if the part corresponding to the first vehicle data needs to be maintained;
and the summarizing unit is used for summarizing the plurality of maintenance items to obtain a first report.
7. A computer arrangement comprising a memory and a processor, the memory storing a computer program, wherein the processor when executing the computer program performs the steps of the method of intelligently selecting a car maintenance shop according to any one of claims 1 to 4.
8. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of intelligently selecting a car maintenance shop according to any one of claims 1 to 4.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111176037.6A CN113610255B (en) | 2021-10-09 | 2021-10-09 | Method and device for intelligently selecting automobile maintenance shop and computer equipment |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111176037.6A CN113610255B (en) | 2021-10-09 | 2021-10-09 | Method and device for intelligently selecting automobile maintenance shop and computer equipment |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN113610255A CN113610255A (en) | 2021-11-05 |
| CN113610255B true CN113610255B (en) | 2022-02-15 |
Family
ID=78343402
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111176037.6A Active CN113610255B (en) | 2021-10-09 | 2021-10-09 | Method and device for intelligently selecting automobile maintenance shop and computer equipment |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113610255B (en) |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106096799A (en) * | 2016-07-11 | 2016-11-09 | 国网浙江省电力公司经济技术研究院 | Minimum construction investment forecast system based on electric network performance index evaluation |
| CN108171344A (en) * | 2017-12-28 | 2018-06-15 | 深圳摩喀网络科技有限公司 | A kind of intelligent Service method and system for being used for Motor Maintenance and repair |
| CN109102206A (en) * | 2018-08-31 | 2018-12-28 | 深圳市轱辘汽车维修技术有限公司 | A kind of evaluation method and relevant device of Automobile Service Factory |
| CN110363307A (en) * | 2019-06-03 | 2019-10-22 | 阿里巴巴集团控股有限公司 | Auto repair maintenance establishment ranking method and device |
Family Cites Families (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US8050961B2 (en) * | 2007-01-19 | 2011-11-01 | Pure Co. Ltd. | Vehicle managing method, vehicle managing apparatus and vehicle managing program |
| US10922746B2 (en) * | 2014-09-05 | 2021-02-16 | Clutch Technologies, Llc | System and method for scoring the fit of a vehicle for a given flip request |
| CN110263946B (en) * | 2019-06-05 | 2023-11-03 | 广西金奔腾车联网科技有限公司 | Maintenance service platform and method based on automobile data collection and bidding and robbing orders |
-
2021
- 2021-10-09 CN CN202111176037.6A patent/CN113610255B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106096799A (en) * | 2016-07-11 | 2016-11-09 | 国网浙江省电力公司经济技术研究院 | Minimum construction investment forecast system based on electric network performance index evaluation |
| CN108171344A (en) * | 2017-12-28 | 2018-06-15 | 深圳摩喀网络科技有限公司 | A kind of intelligent Service method and system for being used for Motor Maintenance and repair |
| CN109102206A (en) * | 2018-08-31 | 2018-12-28 | 深圳市轱辘汽车维修技术有限公司 | A kind of evaluation method and relevant device of Automobile Service Factory |
| CN110363307A (en) * | 2019-06-03 | 2019-10-22 | 阿里巴巴集团控股有限公司 | Auto repair maintenance establishment ranking method and device |
Also Published As
| Publication number | Publication date |
|---|---|
| CN113610255A (en) | 2021-11-05 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US8930064B2 (en) | Method and system for automated and manual data capture configuration | |
| Jun et al. | A study of the method using search traffic to analyze new technology adoption | |
| CN112417273B (en) | Region portrait image generation method, region portrait image generation device, computer equipment and storage medium | |
| CN114239681A (en) | Transformer health index evaluation method and device, computer equipment and storage medium | |
| CN107016400A (en) | The assessment of training set | |
| US6594618B1 (en) | System monitoring method | |
| CN113610255B (en) | Method and device for intelligently selecting automobile maintenance shop and computer equipment | |
| CN104408189B (en) | The methods of exhibiting and device of keyword ranking | |
| US7593855B1 (en) | Consumptible identification system and method | |
| CN112241127B (en) | Automatic driving safety scoring method, automatic driving safety scoring device, computer equipment and storage medium | |
| Mendes et al. | Investigating the use of chronological splitting to compare software cross-company and single-company effort predictions: a replicated study | |
| CN111160575A (en) | Vehicle maintenance data processing method, device, computer equipment and storage medium | |
| CN110598772A (en) | Operation data detection method and device, computer equipment and storage medium | |
| DE102021125455A1 (en) | SYSTEMS AND METHODS FOR ACCURACY ANALYSIS AND ESTIMATION OF VEHICLE FUEL CONSUMPTION | |
| US10438293B2 (en) | Vehicle estimating system that utilizes volumetric finite element analysis to provide a predictive estimate | |
| CN111611397A (en) | Information matching method and device, computer equipment and storage medium | |
| DE102020129563B4 (en) | Method for initiating a component improvement measure of a vehicle component of a motor vehicle, computing device and motor vehicle with a computing device | |
| CN116992294B (en) | Satellite measurement and control training evaluation method, device, equipment and storage medium | |
| CN115905506B (en) | Basic theory file pushing method, system, computer and readable storage medium | |
| Grdinić-Rakonjac et al. | The influence of different weighting schemes on the construction of the composite behaviour index | |
| Cudney et al. | Predicting vehicle cost using the T-method | |
| CN114493095A (en) | Classification method, processor, classification device and engineering equipment for working condition data | |
| Gordienko et al. | Assessing Consumer Perceptions of Product Quality in the Auto Industry | |
| CN115965120A (en) | Safety early warning method for regional energy in short term | |
| CN117035239A (en) | Method, device, equipment and medium for quantifying carbon emission of biochar-based fertilizer |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| PE01 | Entry into force of the registration of the contract for pledge of patent right |
Denomination of invention: Method, device and computer equipment for intelligent selection of automobile maintenance shop Effective date of registration: 20220525 Granted publication date: 20220215 Pledgee: Shenzhen SME financing Company limited by guarantee Pledgor: Shenzhen xingka Software Technology Development Co.,Ltd. Registration number: Y2022980006328 |
|
| PE01 | Entry into force of the registration of the contract for pledge of patent right | ||
| PC01 | Cancellation of the registration of the contract for pledge of patent right |
Date of cancellation: 20230914 Granted publication date: 20220215 Pledgee: Shenzhen SME financing Company limited by guarantee Pledgor: Shenzhen xingka Software Technology Development Co.,Ltd. Registration number: Y2022980006328 |
|
| PC01 | Cancellation of the registration of the contract for pledge of patent right |