CN117853018A - MES-based accessory inventory adjustment method, system, equipment and medium - Google Patents
MES-based accessory inventory adjustment method, system, equipment and medium Download PDFInfo
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Abstract
The application relates to a fitting inventory adjustment method, a system, equipment and a medium based on MES, wherein the method acquires vehicle fitting use data acquired based on an Internet terminal and a 4s store information collection terminal; then determining accessory usage data associated with the inventory vehicle accessory from the vehicle accessory usage data; determining fitting manufacturing parameters for the inventory vehicle fitting based on the fitting usage data; and finally, generating a fitting work order based on at least the fitting manufacturing parameters and sending the fitting work order to a flow management module of the MES so that the flow management module adjusts the types and the quantity of the inventory fittings based on the fitting work order. Therefore, the automatic control system can automatically generate the distribution work order of the MES and automatically adjust the types and the quantity of the inventory accessories, improves the intelligent degree of an intelligent MES factory, and meets the needs of users and enterprises.
Description
Technical Field
The present application relates to the field of automation technology, and in particular, to a method, system, device, and medium for MES-based inventory adjustment of accessories.
Background
The MES (Manufacturing Execution System, production execution system) can be integrated with an Enterprise Resource Planning (ERP) system and automation equipment of an enterprise, and is a set of production informatization management systems facing the workshop execution layer of a manufacturing enterprise.
MES have been applied in the automotive industry to implement intelligent factory construction, but in the related art, inventory fitting adjustment for automotive parts is mainly to obtain inventory base data of an ERP system. However, only the inventory basic data of the ERP system can only meet the use requirements of part of production work orders, inventory accessories cannot be timely adjusted according to actual use conditions, the inventory accessories can only be temporarily adjusted after an emergency occurs, and the requirements of enterprises and owners cannot be timely met.
Disclosure of Invention
In order to solve or partially solve the problems in the related art, the application provides a fitting inventory adjustment method, a system, equipment and a medium based on MES, which can generate a fitting order according to collected vehicle fitting use data, and timely adjust inventory fittings based on the fitting order, so as to meet the actual demands of enterprises and users.
A first aspect of the present application provides a method for MES-based inventory adjustment of accessories, comprising:
acquiring vehicle accessory use data acquired based on the Internet terminal and the 4s store information collecting terminal;
determining accessory usage data associated with an inventory of vehicle accessories from the vehicle accessory usage data;
determining fitting manufacturing parameters for the inventory vehicle fitting based on the fitting usage data;
a fitting work order is generated based at least on the fitting manufacturing parameters and sent to a flow management module of the MES to cause the flow management module to adjust the type and quantity of inventory fittings based on the fitting work order.
Optionally, the acquiring vehicle accessory usage data acquired based on the internet terminal includes:
calling an internet terminal to collect hot news data;
and screening the vehicle accessory use data associated with the preset vehicle type in the hot news data.
Optionally, the acquiring the vehicle accessory usage data collected based on the 4s store information collecting terminal includes:
calling a 4s store information collection terminal to collect after-sale data of the vehicle;
and screening the vehicle accessory use data associated with the preset vehicle type in the vehicle after-sales data.
Optionally, the determining the accessory usage data associated with the inventory vehicle accessory in the vehicle accessory usage data includes:
acquiring attribute information of inventory vehicle accessories;
determining the relativity of each piece of sub data in the vehicle accessory use data according to the attribute information;
and taking the sub-data with the correlation degree larger than a preset value as accessory use data associated with the inventory vehicle accessory.
Optionally, the determining the accessory manufacturing parameter of the inventory vehicle accessory according to the accessory usage data includes:
inquiring a production flow order of the vehicle accessory corresponding to the accessory use data based on a production flow database of the MES;
and extracting the accessory manufacturing parameters related to the vehicle accessory in the production flow order as the accessory manufacturing parameters of the stock vehicle accessory.
Optionally, the generating a fitting work order based at least on the fitting manufacturing parameters includes:
acquiring a fitting order generation flow rule in the production flow of the MES;
and calling the order generation flow rule to generate a fitting work order based on the fitting manufacturing parameters.
A second aspect of the present application provides an MES-based parts inventory adjustment system, comprising:
the acquisition module is used for acquiring vehicle accessory use data acquired based on the Internet terminal and the 4s store information collection terminal;
an analysis module for determining accessory usage data associated with an inventory vehicle accessory from the vehicle accessory usage data; and determining fitting manufacturing parameters for the inventory vehicle fitting based on the fitting usage data;
and the generating unit is used for generating a fitting work order at least based on the fitting manufacturing parameters and sending the fitting work order to a flow management module of the MES so that the flow management module can adjust the types and the quantity of the inventory fittings based on the fitting work order.
A third aspect of the present application provides an electronic device, comprising:
a processor; and
a memory having executable code stored thereon which, when executed by the processor, causes the processor to perform the method as described above.
A fourth aspect of the present application provides a computer readable storage medium having stored thereon executable code which, when executed by a processor of an electronic device, causes the processor to perform a method as described above.
The technical scheme that this application provided can include following beneficial effect: the method for adjusting the inventory of the accessories comprises the steps of firstly, acquiring vehicle accessory use data acquired based on an Internet terminal and a 4s store information collecting terminal; then determining accessory usage data associated with the inventory vehicle accessory from the vehicle accessory usage data; determining fitting manufacturing parameters for the inventory vehicle fitting based on the fitting usage data; and finally, generating a fitting work order based on at least the fitting manufacturing parameters and sending the fitting work order to a flow management module of the MES so that the flow management module adjusts the types and the quantity of the inventory fittings based on the fitting work order. The system and the method can generate a fitting order according to the acquired vehicle fitting use data, and the MES-based flow management module can timely adjust inventory fittings according to actual needs so as to meet the actual needs of enterprises and users.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the application.
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The foregoing and other objects, features and advantages of the application will be apparent from the following more particular descriptions of exemplary embodiments of the application as illustrated in the accompanying drawings wherein like reference numbers generally represent like parts throughout the exemplary embodiments of the application.
FIG. 1 is a flow chart of a method for MES-based inventory adjustment of accessories according to embodiments of the present application;
FIG. 2 is a schematic diagram of a MES-based parts inventory adjustment system according to embodiments of the present application;
fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
Embodiments of the present application will be described in more detail below with reference to the accompanying drawings. While embodiments of the present application are shown in the drawings, it should be understood that the present application may be embodied in various forms and should not be 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 disclosure to those skilled in the art.
The terminology used in the present application is for the purpose of describing particular embodiments only and is not intended to be limiting of the present application. As used in this application and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It should also be understood that the term "and/or" as used herein refers to and encompasses any or all possible combinations of one or more of the associated listed items.
It should be understood that although the terms "first," "second," "third," etc. may be used herein to describe various information, these information should not be limited by these terms. These terms are only used to distinguish one type of information from another. For example, a first message may also be referred to as a second message, and similarly, a second message may also be referred to as a first message, without departing from the scope of the present application. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include one or more such feature. In the description of the present application, the meaning of "a plurality" is two or more, unless explicitly defined otherwise.
MES (Manufacturing Execution System, production execution system) is increasingly used in manufacturing industries, such as automotive manufacturing. However, in MES, the stock adjustment is mostly performed according to basic data or production orders of the EPR system, and when public opinion hotspots or after-sales feedback occur, the stock of accessories cannot be adjusted in time, so that the stock of accessories cannot support the short-time processing of the replacement or allocation of related accessories, and the demands of owners and enterprises cannot be met.
Based on the above, the embodiment of the application discloses a fitting inventory adjustment method, a system, equipment and a medium based on MES, so that the fitting inventory can be adjusted in time, the intelligent degree of manufacturing industry is improved, and the actual demands of owners and enterprises are further met.
Referring to FIG. 1, FIG. 1 is a flow chart of an embodiment of a method for MES-based inventory adjustment of accessories.
The method for adjusting the fitting inventory based on the MES disclosed in the application can comprise the following steps.
And S101, acquiring vehicle accessory use data acquired based on the Internet terminal and the 4S store information collecting terminal.
S102, determining accessory use data associated with the inventory vehicle accessory in the vehicle accessory use data.
S103, determining the accessory manufacturing parameters of the inventory vehicle accessories according to the accessory use data.
S104, generating a fitting work order at least based on the fitting manufacturing parameters and sending the fitting work order to a flow management module of the MES so that the flow management module can adjust the types and the quantity of the inventory fittings based on the fitting work order.
For manufacturing industry, the MES can manage production, can establish connection with an ERP system, manage inventory, and generate production orders according to the inventory, for example, the inventory of a certain automobile part, but the inventory management is only stopped at the production level, the inventory cannot be adjusted in time, and the public opinion or after-sales feedback is only stopped at the level of manually checking later order, so that the comprehensive application of the MES intelligent factory cannot be realized. In the embodiment of the application, the MES not only can manage production, but also can adjust the types and the quantity of the inventory accessories according to the acquired vehicle accessory use data.
In the embodiment of the application, data of at least two dimensions can be acquired, for example, vehicle accessory use data can be acquired based on the internet terminal, and the vehicle accessory use data can also be acquired by the 4s store information collecting terminal.
The method for acquiring the vehicle accessory use data acquired based on the internet terminal comprises the following steps:
calling an internet terminal to collect hot news data;
and screening the vehicle accessory use data associated with the preset vehicle type in the hot news data.
In this embodiment, the MES may be connected to an internet terminal and a 4s store information collection terminal. The internet terminal can collect hot news data generated on the internet in real time, wherein the hot news data can be data crawled through channels such as hot searching. Crawling data may be implemented based on a data crawler.
In actual use, the collection mode of the internet terminal can be set by logging in the internet terminal through the MES, for example, the collection frequency, the collection data source, the collection mode and the like are set. The hot spot information on the current internet can be obtained in time.
After the hot news data is obtained, the data can be screened, related information appointed by a user is screened from the hot news data, for example, the user can appoint a preset vehicle type in advance, and further vehicle accessory use data related to the vehicle type is screened from the hot news data. The vehicle accessory usage data may include a usage condition of the vehicle accessory under the vehicle model.
In application, the above screening process may be performed based on a neural network semantic model mature in the prior art, and the screening process may be performed by using the neural network model, which is not described herein.
In practical use, the obtained vehicle accessory use data can be in a format specified by the MES, and can be directly used by the MES, for example, the vehicle accessory use data comprises vehicle type information, accessory information and accessory use information, for example, A type, brake lamp and brake lighting delay, and the format is json format.
Of course, the obtained vehicle accessory usage data can be different based on modification of the training set and the verification set of the neural network semantic model, and the data can be adapted to the MES only by setting according to actual needs.
In addition, the dimension can call the 4s store information collection terminal to acquire after-market data of the vehicle, wherein the after-market data of the vehicle are usually based on the use data fed back after the vehicle is used for a period of time, so that the actual use condition of the vehicle after leaving the factory can be reflected, and particularly, the use condition which cannot be obtained in a laboratory in theory, such as a hinge of a door spindle, can be realized based on the technical scheme of the application, although experiments such as an overpressure test are performed in the laboratory, in the actual use, the experiment is different from the result of the overpressure test, and therefore, the time of replacing the accessories is needed, whether the stock is required to be produced and adjusted in advance or not.
In the embodiment of the application, the after-sale data of the vehicle can be filled in based on a preset format, such as date, vehicle type, time, accessory name and use condition description. Thus, the vehicle accessory usage data associated with the preset vehicle model can be screened from the after-market vehicle data. The data format of the vehicle accessory usage data can be converted to the same data format specified in the MES, i.e. the subsequent flow can be performed directly in the MES.
In actual use, because producer and 4s shop are cooperation relationship usually, consequently, the producer usually only can be according to off-line customer requirement scheduling production, and can't intelligent modulation accessory stock, based on this, in this application embodiment, can in time adjust the accessory stock according to the after-sales condition of predetermineeing the motorcycle type to can open the passageway of producer and customer for the customer can in time change the accessory that needs to change when keeping, improves and changes accessory efficiency, improves the customer and experiences the customer to the producer.
After the vehicle accessory usage data is obtained, in S102, accessory usage data associated with the vehicle accessory usage data may be determined based on information about the inventory of vehicle accessories in the MES. Wherein the accessory usage data may be unrelated to inventory vehicle accessories, such as parts purchased from other vendors, the embodiments of the present application only require accessory usage data associated with inventory vehicle accessories in the MES to purge the unrelated data.
Optionally, the determining the accessory usage data associated with the inventory vehicle accessory in the vehicle accessory usage data includes:
acquiring attribute information of inventory vehicle accessories;
determining the relativity of each piece of sub data in the vehicle accessory use data according to the attribute information;
and taking the sub-data with the correlation degree larger than a preset value as accessory use data associated with the inventory vehicle accessory.
In this embodiment of the present application, attribute information of an inventory vehicle accessory may be obtained first, where the attribute information may include information such as a name, a model, an appearance, a lot, etc. of the vehicle accessory, and after the attribute information is obtained, a correlation between each piece of sub-data in usage data of the vehicle accessory and the attribute information may be calculated. Each piece of sub data in the attribute information and the vehicle accessory usage data is converted into a variable form, respectively, and then the correlation degree is calculated using the pearson correlation coefficient or the spearman class correlation coefficient. The pearson correlation coefficient is used to measure the linear relationship between two variables, and has a value ranging from-1 to 1, where 1 represents a complete positive correlation, -1 represents a complete negative correlation, and 0 represents no correlation. The spearman's rank correlation coefficient is used to measure the monotonic relationship between two variables, and does not require the variables to be in a linear relationship. Both methods can quantify the degree of correlation between data.
In application, the calculation formula using the pearson correlation coefficient is as follows:
wherein,and +.>Observation values representing two variables, respectively, +.>And->Representing the mean of the two variables, respectively.
Wherein, the spearman rank correlation coefficient can be calculated by the following formula:
wherein,the rank difference of two variables after sorting is adopted, and n is the sample data size.
Based on the above calculation process, it is possible to determine the degree of correlation, and sub-data having the degree of correlation greater than a preset value is used as the accessory use data associated with the inventory vehicle accessory. And further obtain basic data that enables adjustment of the inventory of accessories.
In S103, the determining the accessory manufacturing parameters of the inventory vehicle accessory from the accessory usage data includes:
inquiring a production flow order of the vehicle accessory corresponding to the accessory use data based on a production flow database of the MES;
and extracting the accessory manufacturing parameters related to the vehicle accessory in the production flow order as the accessory manufacturing parameters of the stock vehicle accessory.
In this embodiment, the production flow in the MES is typically stored in a production flow database, which can include the generated flow orders for each part. In the above obtained fitting usage data, the data such as the production period of the vehicle model and the fitting attribute can be obtained by analyzing the fitting usage data, wherein the information fed back in the 4s store can accurately obtain the related data, and the related information of the vehicle is usually included in the e.g. public opinion data acquired by the internet terminal, if the related information cannot be obtained without specific information, a reminding message can be sent to the information manager after the related information is not obtained, so that the information manager can manually input the related information.
In actual use, the accessory library is provided with a display terminal corresponding to the MES, and the display terminal can display inventory related information, and the information manager can input the related information through an information input box popped up from the display terminal.
After the related information is obtained, the source tracing can be carried out through a generation flow database in the MES, so that a production flow order is obtained, and further, the accessory manufacturing parameters in the production flow order can be extracted. The accessory manufacturing parameters may include production raw material information, production procedures, and the like.
In an embodiment of the present application, the generating a fitting work order based at least on the fitting manufacturing parameters includes:
acquiring a fitting order generation flow rule in the production flow of the MES;
and calling the order generation flow rule to generate a fitting work order based on the fitting manufacturing parameters.
After the fitting manufacturing parameters are obtained, a fitting work order can be further automatically generated. Wherein each vehicle accessory corresponds to an order generation flow rule, and an accessory work order can be generated based on the order generation flow rule by taking the accessory manufacturing parameters as basic parameters. The fitting work order can comprise information related to pipeline information, operator information, production flow and the like, and the fitting work order is sent to a flow management module of the MES.
In the application, after the new work order appears in the flow management module, the production task can be arranged based on the work order, and the production flow is designated. After the process management module receives the fitting work order, a process manager can manually dispatch the fitting work order, and a process management module of the MES automatically generates a related production process, so that a workshop can timely produce the fitting and send the fitting to a corresponding warehouse based on the process, and the type and the number of the inventory fitting are adjusted to timely guarantee the requirement of a subsequent 4s store or a vehicle owner for replacing the fitting.
It can be appreciated that the accessory manufacturing parameters may include three modes of low-profile, medium-profile and high-profile, and in this embodiment of the present application, the accessory usage data obtained in combination with the vehicle accessory usage data can be used to analyze which mode should be used for production, or the mode corresponding to the accessory manufacturing parameters in the accessory work order is formulated by a flow manager before the accessory work order is generated.
It can be understood that the production quantity of accessories in the accessory worksheet can be set based on the percentage of the number of the manufactured vehicles, and can be adaptively adjusted according to actual conditions.
In application, after public opinion appears, for example, a certain vehicle type has a quality problem of an exhaust pipe, and because the vehicle type is special, a manufacturer is required to produce the exhaust pipe matched with the vehicle type. In the embodiment of the application, the fitting use data related to the inventory vehicle fittings in the public opinion data can be determined first, then the fittings manufacturing parameters are inquired in the MES to be low, the fittings work orders are generated to be medium, and the fittings work orders are sent to the production lines of all workshops based on the production flow, so that a sufficient number of exhaust pipes are produced in a warehouse, the processing efficiency can be improved when the vehicles are recalled or replaced, and all functions of the MES intelligent factory are further improved.
Corresponding to the embodiment of the application function implementation method, the application also provides an accessory inventory adjustment system based on the MES, electronic equipment and corresponding embodiments.
FIG. 2 is a schematic diagram of an MES-based parts inventory adjustment system according to embodiments of the present application.
Referring to FIG. 2, an MES-based parts inventory adjustment system, comprising:
the acquisition module 1 is used for acquiring vehicle accessory use data acquired based on the Internet terminal and the 4s store information collection terminal;
an analysis module 2 for determining part usage data associated with an inventory vehicle part from the vehicle part usage data; and determining fitting manufacturing parameters for the inventory vehicle fitting based on the fitting usage data;
a generating unit 3, configured to generate a fitting work order based on at least the fitting manufacturing parameters and send the fitting work order to a flow management module of the MES, so that the flow management module adjusts the types and the numbers of the inventory fittings based on the fitting work order.
In some embodiments, the analysis module includes an analysis sub-module to:
acquiring attribute information of inventory vehicle accessories;
determining the relativity of each piece of sub data in the vehicle accessory use data according to the attribute information;
and taking the sub-data with the correlation degree larger than a preset value as accessory use data associated with the inventory vehicle accessory.
The specific manner in which the various modules perform the operations in relation to the systems of the above embodiments have been described in detail in relation to the embodiments of the method and will not be described in detail herein.
Fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Referring to fig. 3, the electronic device 1000 includes a memory 1010 and a processor 1020.
The processor 1020 may be a central processing unit (Central Processing Unit, CPU), but may also be other general purpose processors, digital signal processors (Digital Signal Processor, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC), field programmable gate arrays (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
Memory 1010 may include various types of storage units, such as system memory, read Only Memory (ROM), and persistent storage. Where the ROM may store static data or instructions that are required by the processor 1020 or other modules of the computer. The persistent storage may be a readable and writable storage. The persistent storage may be a non-volatile memory device that does not lose stored instructions and data even after the computer is powered down. In some embodiments, the persistent storage device employs a mass storage device (e.g., magnetic or optical disk, flash memory) as the persistent storage device. In other embodiments, the persistent storage may be a removable storage device (e.g., diskette, optical drive). The system memory may be a read-write memory device or a volatile read-write memory device, such as dynamic random access memory. The system memory may store instructions and data that are required by some or all of the processors at runtime. Furthermore, memory 1010 may comprise any combination of computer-readable storage media including various types of semiconductor memory chips (e.g., DRAM, SRAM, SDRAM, flash memory, programmable read-only memory), magnetic disks, and/or optical disks may also be employed. In some implementations, memory 1010 may include readable and/or writable removable storage devices such as Compact Discs (CDs), digital versatile discs (e.g., DVD-ROMs, dual-layer DVD-ROMs), blu-ray discs read only, super-density discs, flash memory cards (e.g., SD cards, min SD cards, micro-SD cards, etc.), magnetic floppy disks, and the like. The computer readable storage medium does not contain a carrier wave or an instantaneous electronic signal transmitted by wireless or wired transmission.
The memory 1010 has stored thereon executable code that, when processed by the processor 1020, can cause the processor 1020 to perform some or all of the methods described above.
Furthermore, the method according to the present application may also be implemented as a computer program or computer program product comprising computer program code instructions for performing part or all of the steps of the above-described method of the present application.
Alternatively, the present application may also be embodied as a computer-readable storage medium (or non-transitory machine-readable storage medium or machine-readable storage medium) having stored thereon executable code (or a computer program or computer instruction code) which, when executed by a processor of an electronic device (or a server, etc.), causes the processor to perform part or all of the steps of the above-described methods according to the present application.
The embodiments of the present application have been described above, the foregoing description is exemplary, not exhaustive, and not limited to the embodiments disclosed. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the various embodiments described. The terminology used herein was chosen in order to best explain the principles of the embodiments, the practical application, or the improvement of technology in the marketplace, or to enable others of ordinary skill in the art to understand the embodiments disclosed herein.
Claims (10)
1. A MES-based parts inventory adjustment method, comprising:
acquiring vehicle accessory use data acquired based on the Internet terminal and the 4s store information collecting terminal;
determining accessory usage data associated with an inventory of vehicle accessories from the vehicle accessory usage data;
determining fitting manufacturing parameters for the inventory vehicle fitting based on the fitting usage data;
a fitting work order is generated based at least on the fitting manufacturing parameters and sent to a flow management module of the MES to cause the flow management module to adjust the type and quantity of inventory fittings based on the fitting work order.
2. The method of claim 1, wherein the acquiring vehicle accessory usage data collected based on the internet terminal comprises:
calling an internet terminal to collect hot news data;
and screening the vehicle accessory use data associated with the preset vehicle type in the hot news data.
3. The method of claim 1, wherein the acquiring vehicle accessory usage data collected based on the 4s store information collection terminal comprises:
calling a 4s store information collection terminal to collect after-sale data of the vehicle;
and screening the vehicle accessory use data associated with the preset vehicle type in the vehicle after-sales data.
4. The method of claim 1, wherein the determining of the accessory-use data associated with the stock vehicle accessory from the vehicle accessory-use data comprises:
acquiring attribute information of inventory vehicle accessories;
determining the relativity of each piece of sub data in the vehicle accessory use data according to the attribute information;
and taking the sub-data with the correlation degree larger than a preset value as accessory use data associated with the inventory vehicle accessory.
5. The method of claim 1, wherein the determining the accessory manufacturing parameters of the inventory vehicle accessory from the accessory usage data comprises:
inquiring a production flow order of the vehicle accessory corresponding to the accessory use data based on a production flow database of the MES;
and extracting the accessory manufacturing parameters related to the vehicle accessory in the production flow order as the accessory manufacturing parameters of the stock vehicle accessory.
6. The method of claim 1, wherein the generating a fitting work order based at least on the fitting manufacturing parameters comprises:
acquiring a fitting order generation flow rule in the production flow of the MES;
and calling the order generation flow rule to generate a fitting work order based on the fitting manufacturing parameters.
7. An MES-based parts inventory adjustment system, comprising:
the acquisition module is used for acquiring vehicle accessory use data acquired based on the Internet terminal and the 4s store information collection terminal;
an analysis module for determining accessory usage data associated with an inventory vehicle accessory from the vehicle accessory usage data; and determining fitting manufacturing parameters for the inventory vehicle fitting based on the fitting usage data;
and the generating unit is used for generating a fitting work order at least based on the fitting manufacturing parameters and sending the fitting work order to a flow management module of the MES so that the flow management module can adjust the types and the quantity of the inventory fittings based on the fitting work order.
8. The system of claim 7, wherein the analysis module comprises an analysis sub-module to:
acquiring attribute information of inventory vehicle accessories;
determining the relativity of each piece of sub data in the vehicle accessory use data according to the attribute information;
and taking the sub-data with the correlation degree larger than a preset value as accessory use data associated with the inventory vehicle accessory.
9. An electronic device, comprising:
a processor; and
a memory having executable code stored thereon, which when executed by the processor, causes the processor to perform the method of any of claims 1-6.
10. A computer readable storage medium having stored thereon executable code which when executed by a processor of an electronic device causes the processor to perform the method of any of claims 1-6.
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