CN110569993A - Intelligent maintenance and maintenance system based on big data - Google Patents

Intelligent maintenance and maintenance system based on big data Download PDF

Info

Publication number
CN110569993A
CN110569993A CN201910774794.XA CN201910774794A CN110569993A CN 110569993 A CN110569993 A CN 110569993A CN 201910774794 A CN201910774794 A CN 201910774794A CN 110569993 A CN110569993 A CN 110569993A
Authority
CN
China
Prior art keywords
maintenance
information
electronic equipment
warranty
database
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.)
Pending
Application number
CN201910774794.XA
Other languages
Chinese (zh)
Inventor
潘威华
钟健
何韦颖
许世东
刘常江
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Tianhe College of Guangdong Polytechnic Normal University
Original Assignee
Tianhe College of Guangdong Polytechnic Normal University
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Tianhe College of Guangdong Polytechnic Normal University filed Critical Tianhe College of Guangdong Polytechnic Normal University
Priority to CN201910774794.XA priority Critical patent/CN110569993A/en
Publication of CN110569993A publication Critical patent/CN110569993A/en
Pending legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/04Architecture, e.g. interconnection topology
    • G06N3/045Combinations of networks
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/08Learning methods
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q10/00Administration; Management
    • G06Q10/20Administration of product repair or maintenance
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q30/00Commerce
    • G06Q30/01Customer relationship services
    • G06Q30/015Providing customer assistance, e.g. assisting a customer within a business location or via helpdesk
    • G06Q30/016After-sales

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Business, Economics & Management (AREA)
  • General Physics & Mathematics (AREA)
  • Biophysics (AREA)
  • Data Mining & Analysis (AREA)
  • Marketing (AREA)
  • General Business, Economics & Management (AREA)
  • Human Resources & Organizations (AREA)
  • Economics (AREA)
  • Software Systems (AREA)
  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Artificial Intelligence (AREA)
  • Biomedical Technology (AREA)
  • Mathematical Physics (AREA)
  • Computational Linguistics (AREA)
  • Strategic Management (AREA)
  • Evolutionary Computation (AREA)
  • General Health & Medical Sciences (AREA)
  • Molecular Biology (AREA)
  • Computing Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • Accounting & Taxation (AREA)
  • Development Economics (AREA)
  • Finance (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Operations Research (AREA)
  • Quality & Reliability (AREA)
  • Tourism & Hospitality (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The invention provides an intelligent warranty maintenance system based on big data, which comprises a server side, a client terminal and a maintenance terminal, wherein the server side is provided with a database, the database comprises a word repair processing module, a photographing repair processing module, a household appliance identification module, an electronic map module and a maintenance service database, and the client terminal comprises a repair reception module, a database management module and an analysis and statistics module. According to the intelligent maintenance system based on big data, the personal information of the client terminal connected to the system is ensured to have safer guarantee by adopting the security shield for verification; the whole maintenance system is arranged, so that a user and a maintenance worker can maintain more conveniently and quickly, interactive maintenance experience can be achieved in the maintenance process, and complete reference is provided; the ANN detection mode is adopted for detection, labor intensity of manual detection is saved, targeted detection is carried out through manual training and maintenance suggestions in a database, and efficient and reliable detection effects can be achieved.

Description

Intelligent maintenance and maintenance system based on big data
Technical Field
The invention relates to the technical field of warranty maintenance systems, in particular to an intelligent warranty maintenance system based on big data.
Background
In a large office building or a large corporate headquarters, particularly a multinational corporate headquarters office building having a plurality of office equipment (PC, printer, copier, facsimile machine) devices, some of the devices often fail, requiring a logistics support department to maintain. For example, the CN108764725A prior art discloses a maintenance order dispatching device, and a typical repair and maintenance process is as follows: when a certain device has a fault, the user informs the name and the position of the fault device to a back office by means of telephone or a network platform and the like, and simultaneously, the fault condition of the surface is as follows: for example, the blue screen of the computer when the computer is started, no response when the computer is started, sudden screen blacking during the use process of the computer and the like are also informed to the maintenance department, and then the maintenance time, the contact way and the contact person are left. The logistics department arranges repair personnel to go to the door for repair according to the repair condition of the repair equipment randomly or according to the past experience of the logistics department, but still has a plurality of inconveniences.
Another typical home appliance repair reporting method disclosed in the prior art of WO2017JP44915 is that the life cycle of the home appliance is one of the basic metrics of the user when purchasing the home appliance. Therefore, increasing the life cycle length of home devices is one of the important concerns for various home manufacturers. For the household electrical appliance manufacturers, increasing the life cycle length of the household electrical appliances not only improves the performance of the household electrical appliances in the development stage of the household electrical appliances, but also needs to continuously improve the after-sales maintenance service. At present, the mode of acquiring after-sales service by a user is to manually report the repair by broadcasting 400 calls or automatically report the repair by a WeChat public number. Although the methods can be used for reporting the repair quickly, a plurality of problems exist. On one hand, because a user does not have professional knowledge related to the household appliances, the actual problems of the household appliances cannot be accurately described when the user reports the repair, and the fault information obtained by a maintenance worker is not equal to the actually existing fault information, so that the problems of repeated maintenance and the like occur. Repeated maintenance not only wastes resources, but also causes customer dissatisfaction with after-market service. On the other hand, partial faults are not needed to be repaired, but the user does not have specific repair knowledge, so that all the problems are repaired, and the repair resources are occupied.
Referring to a maintenance service system disclosed in the prior art of JP20170237643, at present, in order to improve the service quality, a service provider provides a user with a device and also provides a maintenance service for a fault occurring during the use of the device by the user. A common solution is that when a user's equipment fails, the failed equipment is reported by the user to a service center of a service provider. At present, the two main repair reporting modes are: and (5) reporting the service by telephone or logging in a website of a service provider. Regardless of the repair method, the user needs to provide specific repair information such as a user name, a user address, an equipment model, a fault condition and the like during repair, and a service provider can conveniently send corresponding maintenance personnel to the user to maintain the repair equipment according to the specific repair information. However, since the user is not a professional, when reporting the repair, the model of the device to be repaired cannot be accurately provided, and thus the repair information is inaccurate, and in this way, the maintenance personnel can find that the repair device is not the device actually required to be repaired when arriving at the user, which is time-consuming and labor-consuming. In addition, after the user provides the repair information, the service provider sends the received repair information to the maintenance personnel, and the maintenance personnel can go to the user for maintenance. After the maintenance personnel finish the maintenance, a paper maintenance order is required to be made according to specific maintenance information, a user is enabled to sign and confirm the paper maintenance order, the paper maintenance order is brought back to the maintenance center by the maintenance personnel, and finally, the management personnel of the maintenance center respectively inputs and manages the maintenance orders brought by the corresponding maintenance personnel. The maintenance personnel can not send the maintenance order back to the maintenance center in time after completing each maintenance, and the maintenance personnel have no time to manage all paper maintenance orders, so the maintenance order is easy to lose and the like. Secondly, the managers of the maintenance center need to input a large amount of paper maintenance lists, human errors are very easy to occur in the input process, and all the paper maintenance lists also need to be managed, so that the workload of the managers is increased. In addition, the signature confirmation information of the user on the maintenance order cannot be stored in the system. Meanwhile, the whole process is low in efficiency and cannot meet the requirements of a large number of users.
Through massive retrieval and analysis of the applicant, the repair system is improved or modified on the basis of the prior art.
Disclosure of Invention
The invention aims to provide an intelligent maintenance system based on big data aiming at the defects of the existing maintenance system.
In order to overcome the defects of the prior art, the invention adopts the following technical scheme:
The utility model provides a based on big data intelligence warranty maintenance system, includes server side, client terminal and maintenance terminal, the server side is equipped with the database, the database includes word report processing module, reports processing module, household electrical appliances identification module, electronic map module and maintenance service database of reporting to the police, the client terminal includes reports and waits for module, database management module and analysis statistics module.
Optionally, the server side the client terminal with the maintenance terminal is equipped with the data link of information exchange each other, the data link includes verifies password, verification serial number and verification processing apparatus, verify the password with verify the serial number all have the verification processing apparatus generates and provides the verification, verify processing apparatus still includes the security shield, the security shield including the authentication information that provides, remind the user to confirm and receive the confirmation information of user's input on this security shield.
Optionally, the photographing repair processing module and the text repair are connected with each other to form a repair output terminal, the repair output terminal detects and generates a corresponding repair table, and the repair table includes information of equipment merchants, types and damage categories.
Optionally, the maintenance service database includes a household appliance database and a user database, the household appliance database includes model databases of various electronic devices and identification codes of various electronic devices, the user database includes a maintenance record and an inquiry module, and the inquiry module is used for inquiring information of the maintenance record and generating a data sub-table according to the master database of the server side.
Optionally, the client terminal obtains parameter information of the electronic device to obtain purchase information of the electronic device owner for purchasing the electronic device, and obtains purchase time information, purchase warranty package information and remaining warranty time information of the electronic device as warranty information of the electronic device according to the purchase information and the fault information.
Optionally, the analyzing and counting module of the client terminal analyzes the information of the maintainer corresponding to the electronic device, and specifically includes: the analysis and statistics module searches a maintenance provider corresponding to the electronic equipment in a pre-stored maintenance provider list with maintenance qualification as maintenance provider information corresponding to the electronic equipment and sends the maintenance provider information to a mobile phone of the owner of the electronic equipment; or acquiring a historical maintenance record of the electronic equipment, and acquiring corresponding maintenance provider information according to the historical maintenance record.
Optionally, the obtaining, by the maintenance terminal, the home maintenance time expected by the electronic device owner of the client terminal specifically includes: analyzing possible spare time of the electronic equipment owner according to schedule information on the mobile phone of the electronic equipment owner to be used as the expected home visit maintenance time of the electronic equipment owner; or acquiring the expected home maintenance time of the electronic equipment owner input by the electronic equipment owner in a voice mode or a manual mode; the maintenance terminal also comprises a plurality of detection sensors, and each sensor is correspondingly arranged at a detection point.
Optionally, the repair terminal receives at least two repair providers selected by the owner of the electronic device from the recommended repair provider list as pending repair providers, and sends the repair report of the electronic device to the pending repair providers, where the repair report of the electronic device includes: parameter information of the electronic equipment owner, fault information of the electronic equipment, warranty information of the electronic equipment, location information of the electronic equipment, and door-to-door maintenance time expected by the electronic equipment owner.
In addition, the invention also provides a use method of the intelligent warranty maintenance system based on the big data, and the use method comprises the following steps: the client terminal accesses the data link and generates a corresponding security password, and the security password is used for verifying a verification secret key of the security shield; in the process of access, information of the client terminal needs to be collected for generating a corresponding security password.
Optionally, after obtaining the security password, accessing the server, the client terminal and the maintenance terminal in the data link respectively;
when each sensor of the maintenance terminal detects abnormal features, the abnormal features are sent to a data maintenance base to form an initial ANN detection method, and the ANN detection method is trained by combining with the same kind of problems of experts in the field in the database to obtain a regular ANN training mode through training;
And performing ANN training again according to the regular ANN training mode and combining other maintenance service databases and abnormal features detected by the sensors of the maintenance terminal to form a mixed ANN detection method.
The beneficial effects obtained by the invention are as follows:
1. The personal information of the client terminal connected to the system is ensured to have safer guarantee by adopting the security shield for verification;
2. The whole maintenance system is arranged, so that a user and a maintenance worker can maintain more conveniently and quickly, interactive maintenance experience can be achieved in the maintenance process, and complete reference is provided;
3. The ANN detection mode is adopted for detection, labor intensity of manual detection is saved, targeted detection is carried out through manual training and maintenance suggestions in a database, and efficient and reliable detection effects can be achieved.
drawings
The invention will be further understood from the following description in conjunction with the accompanying drawings. The components in the figures are not necessarily to scale, emphasis instead being placed upon illustrating the principles of the embodiments. Like reference numerals designate corresponding parts throughout the different views.
fig. 1 is a block diagram of a maintenance process of an intelligent warranty maintenance system based on big data according to the present invention.
Fig. 2 is a schematic structural diagram of an ANN detection method based on a big data intelligent warranty maintenance system according to the present invention.
Fig. 3 is a warranty form of the client terminal based on the big data intelligent warranty maintenance system of the present invention.
fig. 4 is an order state diagram of the client terminal based on the big data intelligent warranty maintenance system of the present invention.
Fig. 5 is a service provider dispatch chart based on the big data intelligent warranty maintenance system of the present invention.
Detailed Description
In order to make the objects and advantages of the present invention more apparent, the present invention will be further described in detail with reference to the following embodiments; it should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention. Other systems, methods, and/or features of the present embodiments will become apparent to those skilled in the art upon review of the following detailed description. It is intended that all such additional systems, methods, features and advantages be included within this description, be within the scope of the invention, and be protected by the accompanying claims. Additional features of the disclosed embodiments are described in, and will be apparent from, the detailed description that follows.
The same or similar reference numerals in the drawings of the embodiments of the present invention correspond to the same or similar components; in the description of the present invention, it should be understood that if there is an orientation or positional relationship indicated by the terms "upper" and "lower" and "left" and "right" etc., it is only for convenience of description and simplification of the description based on the orientation or positional relationship shown in the drawings, but it is not indicated or implied that the device or assembly referred to must have a specific orientation.
the first embodiment is as follows: the utility model provides a based on big data intelligence warranty maintenance system, includes server side, client terminal and maintenance terminal, the server side is equipped with the database, the database includes word report processing module, reports processing module, household electrical appliances identification module, electronic map module and maintenance service database of reporting to the police, the client terminal includes reports and waits for module, database management module and analysis statistics module. The server side the client terminal with maintenance terminal is equipped with the data link of information exchange each other, data link is including verifying the password, verifying the serial number and verifying processing apparatus, verify the password with verify the serial number all have verify processing apparatus generates and provides the verification, verify processing apparatus still includes the safety shield, the safety shield including the authentication information that provides, remind the user to confirm and receive the confirmation information of user's input on this safety shield. The photographing repair processing module and the character repair are connected with each other to form a repair output terminal, the repair output terminal detects and generates a corresponding repair table, and the repair table comprises information of equipment merchants, types and damage categories. The maintenance service database comprises a household appliance database and a user database, the household appliance database comprises model databases of various electronic devices and identification codes of the various electronic devices, the user database comprises maintenance records and an inquiry module, and the inquiry module is used for inquiring the information of the maintenance records and generating a data sub-table according to the main database of the server side. And the client terminal acquires the parameter information of the electronic equipment so as to acquire purchase information of an electronic equipment owner for purchasing the electronic equipment, and acquires purchase time information, purchase warranty package information and remaining warranty time information of the electronic equipment as warranty information of the electronic equipment according to the purchase information and the fault information. The analysis and statistics module of the client terminal analyzes the information of the maintainers corresponding to the electronic equipment, and specifically comprises the following steps: the analysis and statistics module searches a maintenance provider corresponding to the electronic equipment in a pre-stored maintenance provider list with maintenance qualification as maintenance provider information corresponding to the electronic equipment and sends the maintenance provider information to a mobile phone of the owner of the electronic equipment; or acquiring a historical maintenance record of the electronic equipment, and acquiring corresponding maintenance provider information according to the historical maintenance record. The method for acquiring the door-to-door maintenance time expected by the electronic equipment owner of the client terminal by the maintenance terminal specifically comprises the following steps: analyzing possible spare time of the electronic equipment owner according to schedule information on the mobile phone of the electronic equipment owner to be used as the expected home visit maintenance time of the electronic equipment owner; or acquiring the expected home maintenance time of the electronic equipment owner input by the electronic equipment owner in a voice mode or a manual mode; the maintenance terminal also comprises a plurality of detection sensors, and each sensor is correspondingly arranged at a detection point. The maintenance terminal receives at least two maintenance providers selected by the owner of the electronic equipment in the recommended maintenance provider list as pending maintenance providers, and sends the repair report of the electronic equipment to the pending maintenance providers, wherein the repair report of the electronic equipment comprises: parameter information of the electronic equipment owner, fault information of the electronic equipment, warranty information of the electronic equipment, location information of the electronic equipment, and door-to-door maintenance time expected by the electronic equipment owner.
in addition, the invention also provides a use method of the intelligent warranty maintenance system based on the big data, and the use method comprises the following steps: the client terminal accesses the data link and generates a corresponding security password, and the security password is used for verifying a verification secret key of the security shield; in the process of access, information of the client terminal needs to be collected for generating a corresponding security password.
Optionally, after obtaining the security password, accessing the server, the client terminal and the maintenance terminal in the data link respectively;
When each sensor of the maintenance terminal detects abnormal features, the abnormal features are sent to a data maintenance base to form an initial ANN detection method, and the ANN detection method is trained by combining with the same kind of problems of experts in the field in the database to obtain a regular ANN training mode through training;
And performing ANN training again according to the regular ANN training mode and combining other maintenance service databases and abnormal features detected by the sensors of the maintenance terminal to form a mixed ANN detection method.
Example two: the utility model provides a based on big data intelligence warranty maintenance system, includes server side, client terminal and maintenance terminal, the server side is equipped with the database, the database includes word report processing module, reports processing module, household electrical appliances identification module, electronic map module and maintenance service database of reporting to the police, the client terminal includes reports and waits for module, database management module and analysis statistics module. Specifically, the server, the terminal and the maintenance terminal can share, store or read data. In the using process of the maintenance system, the server, the client terminal and the maintenance terminal can work in coordination, and specifically, the client terminal is connected with the server and accesses the database and the maintenance service database. In addition, the warranty reception module, the data management module and the analysis and statistics module of the client terminal can record data accessing the server terminal and record the data on the database management module, analyze the warranty category of the client terminal and generate a corresponding maintenance data table. Particularly, the maintenance data report is shared and updated by the maintenance terminal, specifically, the maintenance terminal provides corresponding data and is processed by the analysis and statistics module, and finally the maintenance data report is obtained.
The server side the client terminal with maintenance terminal is equipped with the data link of information exchange each other, data link is including verifying the password, verifying the serial number and verifying processing apparatus, verify the password with it all is equipped with to verify processing apparatus generation and provide the verification, verify processing apparatus still includes the safety shield, the safety shield including the authentication information that provides, remind the user to confirm and receive the confirmation information of user's input on this safety shield. Specifically, the verification processing device on the data link can ensure the safety of the whole device, prevent other people from stealing data, and effectively ensure the safety of personal data such as personal information or requirements of customers. In this embodiment, a security shield is preferably adopted, and the security shield can provide the authentication information and use the authentication information in combination with the client terminal, and in the process of processing data by the client terminal, the authentication information is a key connected to the data link. And the data of the link needs to be verified in the connection process, and the verification mode comprises certificate connection verification, identity verification and the like. And in the process that the security shield is connected with the data link, the client terminal can be connected with the data link by loading the security shield.
the photographing repair processing module and the character repair are connected with each other to form a repair output terminal, the repair output terminal detects and generates a corresponding repair table, and the repair table comprises information of equipment merchants, types and damage categories. Specifically, the repair output terminal is used for detecting the damage condition of the electronic device to be repaired and performing actual detection, and in the detection process, the repair output terminal can generate the repair table and store the data in the database in a cloud transmission mode. And the database transmits corresponding information according to the client information corresponding to the table for dispatching, wherein the dispatching mode comprises client terminal reminding, short message reminding or mailing reminding and the like. And the warranty output terminal is also connected with the data link in the process of maintenance, and the repair reporting output terminal selects the database according to the actual needs of maintainers in the connection process.
The maintenance service database comprises a household appliance database and a user database, the household appliance database comprises model databases of various electronic devices and identification codes of the various electronic devices, the user database comprises maintenance records and an inquiry module, and the inquiry module is used for inquiring the information of the maintenance records and generating a data sub-table according to the main database of the server side. Specifically, the maintenance service database is a database facing the maintenance personnel, and when the maintenance personnel encounters a problem, the database can be searched and inquired for the problem to be repaired, so that the high quality of maintenance is ensured. The home appliance database of the maintenance service database includes common characteristics of various electronic devices, information of various common electronic devices, and common problems. In addition, the user database is data information fed back by the user, and the data information comprises a summary of problems occurring in the using process. The maintenance service database is required to be identified and connected for maintenance in the maintenance process of the maintenance personnel, and the problems of the electronic product are timely uploaded to the database and used as a typical case after the maintenance is finished, so that the subsequent maintenance personnel can more quickly and rapidly repair the same problems. The maintenance service database is used, so that the whole maintenance system is more intelligent and faster. In the process of maintenance, the database of the maintenance service is continuously enriched, so that the maintenance time of each electronic device is greatly shortened.
And the client terminal acquires the parameter information of the electronic equipment so as to acquire purchase information of an electronic equipment owner for purchasing the electronic equipment, and acquires purchase time information, purchase warranty package information and remaining warranty time information of the electronic equipment as warranty information of the electronic equipment according to the purchase information and the fault information. Specifically, in the process of querying by the client terminal, the owner of the electronic device provides relevant information, and connects the data in the database for comparison and verification. Particularly, the client also comprises data uploaded by the merchant, and when the merchant and the owner of the electronic device verify the data accurately, the effective maintenance or the service of the package repair of the warranty or the three packages can be realized. When the electronic equipment is still in the period of the package repair or the agreement of the three-package service, the cost of the repair is borne by the corresponding merchant, the sharing of the information of each repair system is ensured, the owner of the electronic equipment can enjoy the three-package service more conveniently, a special repair point is not needed for detection, the burden of the merchant or the manufacturer is reduced to the maximum extent, and the short plate of the after-sale service of the product is also effectively ensured.
The analysis and statistics module of the client terminal analyzes the information of the maintainers corresponding to the electronic equipment, and specifically comprises the following steps: the analysis and statistics module searches a maintenance provider corresponding to the electronic equipment in a pre-stored maintenance provider list with maintenance qualification as maintenance provider information corresponding to the electronic equipment and sends the maintenance provider information to a mobile phone of the owner of the electronic equipment; or acquiring a historical maintenance record of the electronic equipment, and acquiring corresponding maintenance provider information according to the historical maintenance record. Specifically, the analysis module of the client terminal analyzes information of a maintainer of each electronic device and can update excellent maintainers in time. The analyzed maintainers are selected by the client terminal, and after selection, the system sends the information of the electronic equipment and the user to the mobile terminal of the maintainer, and the maintainer makes corresponding maintenance according to problems. The client terminal can be selected to make the preference selection in the whole maintenance process, and the higher maintenance effect is ensured.
the method for acquiring the door-to-door maintenance time expected by the electronic equipment owner of the client terminal by the maintenance terminal specifically comprises the following steps: analyzing possible spare time of the electronic equipment owner according to schedule information on the mobile phone of the electronic equipment owner to be used as the expected home visit maintenance time of the electronic equipment owner; or acquiring the expected home maintenance time of the electronic equipment owner input by the electronic equipment owner in a voice mode or a manual mode; the maintenance terminal also comprises a plurality of detection sensors, and each sensor is correspondingly arranged at a detection point. Specifically, the maintenance terminal can provide the door-to-door time of the maintainer, thereby greatly facilitating the visual communication between the owner and the maintainer of the electronic equipment, flexibly performing the reserved work and greatly improving the work efficiency. In addition, the data analysis carried out on the schedule obtains the possible spare time of the electronic equipment owner and carries out reservation in real time, and after the reservation is determined, the maintenance company can log in for maintenance. The interactive reservation mode between the electronic equipment owner and the maintenance provider enables participation to be stronger.
The maintenance terminal receives at least two maintenance providers selected by the owner of the electronic equipment in the recommended maintenance provider list as pending maintenance providers, and sends the repair report of the electronic equipment to the pending maintenance providers, wherein the repair report of the electronic equipment comprises: parameter information of the electronic equipment owner, fault information of the electronic equipment, warranty information of the electronic equipment, location information of the electronic equipment, and door-to-door maintenance time expected by the electronic equipment owner. Specifically, in a list of maintainers recommended to the equipment owner by the maintenance terminal, the equipment owner can select the maintainer, in the selection process, the electronic equipment owner selects a proper or preferred maintainer, in the process, the maintainer receives an order of the electronic equipment owner and then carries out a task of arranging home maintenance, and in the maintenance process, any problem exists and can be fed back through the maintenance terminal.
in addition, the invention also provides a use method of the intelligent warranty maintenance system based on the big data, and the use method comprises the following steps: the client terminal accesses the data link and generates a corresponding security password, and the security password is used for verifying a verification secret key of the security shield; in the process of access, information of the client terminal needs to be collected for generating a corresponding security password. After the security password is obtained, the server side, the client terminal and the maintenance terminal are respectively accessed in the data link; after detecting abnormal features, the sensors of the maintenance terminal send the abnormal features to a data maintenance base to form an initial ANN detection method, and the ANN detection method is trained by combining with the same kind of problems of experts in the field in the database to obtain a regular ANN training mode; and performing ANN training again according to the regular ANN training mode and combining other maintenance service databases and abnormal features detected by the sensors of the maintenance terminal to form a mixed ANN detection method. Specifically, the using method is to repair the electronic device based on the needs of the existing repair customer, and in the repair process, the electronic device needs to be carefully detected to detect the fault of the electronic device, and in this process, the customer needs to carefully know about the whole warranty maintenance system when submitting the needs. In addition, in the process of connecting the data link, the client terminal can connect and access the data link only by the security password, and the security password in the overshoot of access ensures that the whole system is safer and effectively ensures the security of personal information of a maintainer. In addition, the ANN detection method is adopted, so that the whole intelligent detection function is more perfect, various conditions are exercised in the detection process, the intelligent detection is more accurate, and the huge labor amount of manual detection is saved. In the training process, the ANN detection method needs to be trained for multiple times to achieve the optimal use state.
Example three: on the basis of the second embodiment, the intelligent warranty maintenance system based on big data of the embodiment further comprises a life evaluation device, a fault prediction device and a fault diagnosis device, specifically, the life evaluation device carries out fault treatment on the electronic equipment after maintenance, and sends corresponding information to the owner of the electronic equipment through the maintenance terminal, so that the owner of the electronic equipment can know the corresponding information. In addition, the failure prediction device detects the service life of the electronic equipment and makes a corresponding report to inform the failure early warning of the electronic equipment, so that the electronic equipment can be mastered with all-round information. In this embodiment, the fault diagnosis device is the same as a common diagnosis device, and details thereof are omitted here. In addition, in the process of maintaining the system, the database still needs to be analyzed, so that Hadoop data analysis is needed, a large amount of data is needed, and a model is trained, so that the data form generated by the whole system can better meet the actual requirement. The training mode in this embodiment can be replaced by: the sensors of a plurality of different devices are required to provide detection in the training process, the detection accuracy is guaranteed, and the training model can obtain a high-performance GPU, so that the result for detecting the electronic device later is more accurate.
In summary, the intelligent maintenance system based on big data of the invention ensures that personal information of the client terminal connected to the system has a safer guarantee by adopting the security shield for verification; the whole maintenance system is arranged, so that a user and a maintenance worker can maintain more conveniently and quickly, interactive maintenance experience can be achieved in the maintenance process, and complete reference is provided; the ANN detection mode is adopted for detection, labor intensity of manual detection is saved, targeted detection is carried out through manual training and maintenance suggestions in a database, and efficient and reliable detection effects can be achieved.
Although the invention has been described above with reference to various embodiments, it should be understood that many changes and modifications may be made without departing from the scope of the invention. That is, the methods, systems, and devices discussed above are examples. Various configurations may omit, substitute, or add various procedures or components as appropriate. For example, in alternative configurations, the methods may be performed in an order different than that described, and/or various components may be added, omitted, and/or combined. Moreover, features described with respect to certain configurations may be combined in various other configurations, as different aspects and elements of the configurations may be combined in a similar manner. Further, elements therein may be updated as technology evolves, i.e., many elements are examples and do not limit the scope of the disclosure or claims.
Specific details are given in the description to provide a thorough understanding of the exemplary configurations including implementations. However, configurations may be practiced without these specific details, for example, well-known circuits, processes, algorithms, structures, and techniques have been shown without unnecessary detail in order to avoid obscuring the configurations. This description provides example configurations only, and does not limit the scope, applicability, or configuration of the claims. Rather, the foregoing description of the configurations will provide those skilled in the art with an enabling description for implementing the described techniques. Various changes may be made in the function and arrangement of elements without departing from the spirit or scope of the disclosure.
In conclusion, it is intended that the foregoing detailed description be regarded as illustrative rather than limiting, and that it be understood that these examples are illustrative only and are not intended to limit the scope of the invention. After reading the description of the invention, the skilled person can make various changes or modifications to the invention, and these equivalent changes and modifications also fall into the scope of the invention defined by the claims.

Claims (10)

1. The utility model provides a based on big data intelligence warranty maintenance system, includes server side, client terminal and maintenance terminal, its characterized in that, the server side is equipped with the database, the database includes word repair processing module, the repair processing module of shooing, household electrical appliances identification module, electronic map module and maintenance service database, the client terminal includes report and ask for module, database management module and analysis statistics module.
2. The big data based intelligent warranty maintenance system according to any one of the preceding claims, wherein said server side, said client terminal and said maintenance terminal are provided with a data link for information exchange therebetween, said data link comprises a verification password, a verification serial number and a verification processing device, said verification password and said verification serial number are generated and provided with verification by said verification processing device, said verification processing device further comprises a security shield, said security shield comprises provided authentication information, and user confirmation and receiving confirmation information input by a user are provided on said security shield.
3. the intelligent warranty maintenance system based on big data according to any of the preceding claims, wherein the photo warranty processing module and the text warranty are connected to form a warranty output terminal, the warranty output terminal performs detection and generates a corresponding maintenance table, and the maintenance table includes information of equipment merchants, types and damage types.
4. The intelligent warranty maintenance system based on big data according to any one of the preceding claims, wherein the maintenance service database comprises a home appliance database and a user database, the home appliance database comprises model databases of various electronic devices and identification codes of various electronic devices, the user database comprises a maintenance record and query module, and the query module is used for querying information of the maintenance record and generating a data sub-table according to the main database of the server side.
5. The big-data-based intelligent warranty maintenance system according to any one of the preceding claims, wherein said client terminal obtains parameter information of said electronic device to obtain purchase information of an electronic device owner for purchasing said electronic device, and obtains purchase time information, purchase warranty package information and remaining warranty time information of said electronic device as warranty information of said electronic device according to said purchase information and said failure information.
6. The big-data-based intelligent warranty maintenance system according to any one of the preceding claims, wherein the analysis statistic module of the client terminal analyzes the information of the maintainers corresponding to the electronic device, and specifically comprises: the analysis and statistics module searches a maintenance provider corresponding to the electronic equipment in a pre-stored maintenance provider list with maintenance qualification as maintenance provider information corresponding to the electronic equipment and sends the maintenance provider information to a mobile phone of the owner of the electronic equipment; or acquiring a historical maintenance record of the electronic equipment, and acquiring corresponding maintenance provider information according to the historical maintenance record.
7. The big-data-based intelligent warranty maintenance system according to any one of the preceding claims, wherein said maintenance terminal obtains the time of home maintenance desired by the owner of said electronic device at the client terminal, and specifically comprises: analyzing possible spare time of the electronic equipment owner according to schedule information on the mobile phone of the electronic equipment owner to be used as the expected home visit maintenance time of the electronic equipment owner; or acquiring the expected home maintenance time of the electronic equipment owner input by the electronic equipment owner in a voice mode or a manual mode; the maintenance terminal also comprises a plurality of detection sensors, and each sensor is correspondingly arranged at a detection point.
8. The big-data-based intelligent warranty maintenance system according to any of the preceding claims, wherein the repair terminal receives at least two of the repair shops selected by the electronic equipment owner in the recommended repair shop list as pending repair shops, and sends the electronic equipment repair order to the pending repair shop, the electronic equipment repair order comprising: parameter information of the electronic equipment owner, fault information of the electronic equipment, warranty information of the electronic equipment, location information of the electronic equipment, and door-to-door maintenance time expected by the electronic equipment owner.
9. A method for using big data based intelligent warranty maintenance system, which applies a big data based intelligent warranty maintenance system according to claims 1-8, wherein the method comprises:
The client terminal accesses the data link and generates a corresponding security password, and the security password is used for verifying a verification secret key of the security shield; in the process of access, information of the client terminal needs to be collected for generating a corresponding security password.
10. The method of claim 9, wherein after the security password is obtained, the server, the client and the repair terminal are accessed in the data link respectively;
When each sensor of the maintenance terminal detects abnormal features, the abnormal features are sent to a data maintenance base to form an initial ANN detection method, and the ANN detection method is trained by combining with the same kind of problems of experts in the field in the database to obtain a regular ANN training mode through training;
And performing ANN training again according to the regular ANN training mode and combining other maintenance service databases and abnormal features detected by the sensors of the maintenance terminal to form a mixed ANN detection method.
CN201910774794.XA 2019-08-21 2019-08-21 Intelligent maintenance and maintenance system based on big data Pending CN110569993A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201910774794.XA CN110569993A (en) 2019-08-21 2019-08-21 Intelligent maintenance and maintenance system based on big data

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201910774794.XA CN110569993A (en) 2019-08-21 2019-08-21 Intelligent maintenance and maintenance system based on big data

Publications (1)

Publication Number Publication Date
CN110569993A true CN110569993A (en) 2019-12-13

Family

ID=68774097

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201910774794.XA Pending CN110569993A (en) 2019-08-21 2019-08-21 Intelligent maintenance and maintenance system based on big data

Country Status (1)

Country Link
CN (1) CN110569993A (en)

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112801311A (en) * 2021-01-11 2021-05-14 武汉群泰自动化工程有限公司 Maintenance platform based on big data intelligent equipment
TWI775285B (en) * 2021-01-21 2022-08-21 正鉑雷射股份有限公司 Maintenance system and methodof cloud-based laser processing device
US20230186251A1 (en) * 2021-11-08 2023-06-15 Super Home Inc. System and method for covering cost of delivering repair and maintenance services to premises of subscribers including predictive service
CN116384980A (en) * 2023-05-25 2023-07-04 杭州青橄榄网络技术有限公司 Repair reporting method and system

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106097169A (en) * 2016-04-12 2016-11-09 立德高科(昆山)数码科技有限责任公司 Based on electric appliances service public number to carry out method and the platform of electric appliances service
CN106920189A (en) * 2015-12-24 2017-07-04 上海徐房房屋维急修中心 Home repair joint disposal system and method based on internet and mobile communication
CN107392632A (en) * 2017-08-21 2017-11-24 合肥康东福双信息科技有限公司 A kind of electric appliances service service system based on cell phone application

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106920189A (en) * 2015-12-24 2017-07-04 上海徐房房屋维急修中心 Home repair joint disposal system and method based on internet and mobile communication
CN106097169A (en) * 2016-04-12 2016-11-09 立德高科(昆山)数码科技有限责任公司 Based on electric appliances service public number to carry out method and the platform of electric appliances service
CN107392632A (en) * 2017-08-21 2017-11-24 合肥康东福双信息科技有限公司 A kind of electric appliances service service system based on cell phone application

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112801311A (en) * 2021-01-11 2021-05-14 武汉群泰自动化工程有限公司 Maintenance platform based on big data intelligent equipment
TWI775285B (en) * 2021-01-21 2022-08-21 正鉑雷射股份有限公司 Maintenance system and methodof cloud-based laser processing device
US20230186251A1 (en) * 2021-11-08 2023-06-15 Super Home Inc. System and method for covering cost of delivering repair and maintenance services to premises of subscribers including predictive service
CN116384980A (en) * 2023-05-25 2023-07-04 杭州青橄榄网络技术有限公司 Repair reporting method and system
CN116384980B (en) * 2023-05-25 2023-08-25 杭州青橄榄网络技术有限公司 Repair reporting method and system

Similar Documents

Publication Publication Date Title
CN110569993A (en) Intelligent maintenance and maintenance system based on big data
CN110611685B (en) Internet site login system based on intelligent equipment monitoring and user identity recognition
CN110889710B (en) Device information management method, server, and storage medium
CN108932424B (en) Equipment registration system and method
CN110765149B (en) Intelligent device full life cycle monitoring query and user identity recognition binding system
CN110751303B (en) Intelligent device full life cycle monitoring query system based on cloud computing
CN103761597A (en) Method and device for processing product information
CN103901871B (en) For the remote diagnosis and maintenance system of vehicle
CN104700229A (en) Product recall warning system and method based on two-dimension codes
CN104737192A (en) Promoter system and method for processing product and service data
CN107341384A (en) A kind of service verification method and system
CN102314662A (en) Authorized distributor monitoring method based on mobile RFID
CN110768839A (en) Third-party software authorization system based on intelligent device monitoring and user identity binding
US20140114725A1 (en) Closed-loop distributed messaging system and method
CN115185244A (en) Product quality tracing system and method based on identification analysis technology
CN111144841A (en) Inspection method and system platform for conveying and storing equipment in chemical product production line
CN108269059A (en) A kind of data management system
KR102123975B1 (en) Operating method for post product management using managing server
KR101339594B1 (en) Equipment management system using nfc tag
CN103577964A (en) Method and system for acquiring product circulation regional information and verifying authenticity of product
JP2001282944A (en) Service supporting system utilizing internet
CN110083784A (en) Data processing method and device, server
WO2019161293A1 (en) Methods and systems for managing warehouse information utilizing fleet vehicle data
CN106202425A (en) Data processing method and device and mobile terminal
CN107852419B (en) Device damage feedback method and system

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