CN111461365A - Installation, maintenance and operation integrated autonomous sharing service platform system - Google Patents
Installation, maintenance and operation integrated autonomous sharing service platform system Download PDFInfo
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Abstract
The invention discloses an installation, maintenance and operation integrated autonomous sharing service platform system, wherein the integrated autonomous sharing service platform system comprises: the system comprises a central service platform module unit, a service staff end service module unit, a user end self-service module unit and a mobile monitoring end patrol monitoring module unit. The autonomous sharing service platform system realizes a self-service time-sharing system, creatively realizes a dynamic accurate big data prediction mechanism of a service solution, comprehensively solves the problems of untimely service, inadequate service, incapability of sharing service personnel and low utilization rate and the like in the society, greatly improves the utilization rate of the service personnel in multiple fields and multiple industries, comprehensively realizes a new generation service mechanism and system with high self-help, sharing, pertinence, quality and supervision, reforms the service system into a self-service supermarket, and has super comprehensive analysis and customization experience.
Description
Technical Field
The invention belongs to the technical field of wireless communication, computer software and networks, and particularly relates to an installation, maintenance and operation integrated autonomous sharing service platform system.
Background
With the continuous development of wireless communication network technology, the demands for community services, hotel services, emergency treatment and the like are more and more increased, especially, the services have dispersity, flexibility and professionality, an indispensable social phenomenon is already formed by how to connect the real-time optimal and accurate docking of some free servers with professional technologies to corresponding service events, and how to realize accurate docking, real-time docking, quality docking, self-service docking, on-demand docking and accurate management and control of the demands and the services are urgent requirements of a society and a city community. Although self-service and precise management and control are widely applied to multiple industry fields, under a new infrastructure (new generation infrastructure) environment developed by the state, how to realize a platform system for fast and convenient self-service sharing service of cities by using 5G, a data center and artificial intelligence in the key field of new infrastructure becomes a necessary product in the mass trend of smart cities.
At present, most of the existing installation, maintenance and daily service requirements of some families and enterprises in the society adopt telephone appointment and network appointment according to manufacturers purchasing products and service units, then communication and engagement teachers or service personnel are carried out, and finally home service is carried out, so that the autonomy is weak, the timeliness is poor, sometimes, once the demand is large, the corresponding service personnel work busy, the phenomena of untimely service and untimely service occur, in addition, the problem prejudgment cannot be timely obtained before the service, and the automatic and deep formulation solution proposal cannot be realized, so that the accuracy and the effectiveness of the personnel allocation are greatly reduced.
The existing on-demand service has the following disadvantages:
(1) poor utilization of service resources: some professional and technical free job selectors in the society cannot rapidly interface the required service of peripheral areas or fixed-point areas, so that the service providers cannot effectively and more fully interface the service;
(2) low service flexibility and poor self-service performance: due to the fact that a self-service selection and self-service reservation service platform and a big data comprehensive service analysis platform are not available, flexible and self-service docking is lacked, and customer experience and satisfaction are insufficient;
(3) the service real-time performance is poor: due to the lack of a self-service reservation mechanism, the prior services are all response services for a single manufacturer or unit, and the problems of insufficient people and untimely service can occur during busy hours, so that the requirements of self-service, self-selection, cross-manufacturer service customization and the like cannot be realized;
(4) the service supervision mechanism and the evaluation mechanism are imperfect: because the service personnel are single factories or units and lack competition mechanisms, the service cannot be monitored in the whole process, analysis guidance and timely feedback of a client system background can not be realized, the monitoring mechanism is probably not in place, and the service quality is difficult to optimize in real time;
(5) the service problem big data comprehensive simulation analysis rate is low: due to the lack of an effective big data comprehensive real-time analysis platform, the problem prediction success of service events is difficult to guarantee before service, accurate dispatching of more targeted service personnel for targeted quality service cannot be guaranteed, and a system platform automatic simulation solution cannot be realized to achieve the optimization of service quality;
(6) the service credit culture mechanism is deficient and needs to be perfected: due to the lack of a unified and perfect service unified management evaluation mechanism and a big data comprehensive factor evaluation mechanism, the service happiness of the user and the holding quantity of the user service are difficult to ensure.
Due to the problems, the quality development process of intelligent towns and intelligent villages in China is seriously influenced. In order to solve the service phenomenon and the problem, an effective method is always sought, and a service mechanism is well improved in the self-help, sharing, pertinence, quality and supervision of the service.
Disclosure of Invention
Aiming at the problems in the background technology, the invention provides an installation, maintenance and operation integrated autonomous sharing service platform system, which realizes a self-service time-sharing system, creatively realizes a dynamic accurate big data prediction mechanism of a service solution, comprehensively solves the problems of untimely service, inadequate service, low sharing utilization rate and the like of service personnel in the society, greatly improves the utilization rate of the service personnel in multiple fields and multiple industries, comprehensively realizes a new generation service mechanism and system with high self-help, sharing, pertinence, quality and supervision, reforms the service system into a self-service supermarket, and has super-strong comprehensive analysis, customization and experience.
The purpose of the invention is realized as follows: the utility model provides an installation is maintained operation integration and is independently shared service platform system, includes central service platform modular unit, service personnel end service modular unit, user side self-service modular unit, removes supervise end inspection supervision modular unit, service personnel end service modular unit and central service platform modular unit interconnect connection, user side self-service modular unit and central service platform modular unit interconnect connection, remove supervise end inspection supervision modular unit and central service platform modular unit interconnect connection.
The central service platform module unit includes: the system comprises a basic information module, a business information module, a service quality evaluation module, a big data comprehensive analysis module, a platform statistics display module, a service accurate scheduling module, a problem intelligent analysis module, a comprehensive learning growth module, a service state real-time analysis module, a picture video comprehensive analysis module, a service quality evaluation module, a service personnel service quality and attitude multiple judgment analysis module, a service personnel and user point comparison module, a manufacturer product maintenance analysis data module and a user demand service analysis module. The central service platform module unit is used for comprehensively controlling service personnel, users and service events, realizing optimized resource allocation and personnel utilization by analyzing, judging and predicting states of the service personnel, the users and the service events, evaluating personnel, products and services and finally realizing optimization of a service process and accurate control of service time and the process.
The service staff end service module unit comprises: the system comprises a service personnel state input module, a service problem input module, a service strategy feedback module, a service process video recording and photographing module, a service event analysis module and a customer evaluation module. The service staff end service module unit is used for managing and butting a plurality of service matters such as service staff service position determination, service state information receiving and sending, user evaluation, service problem solution formulation, service capability improvement and the like.
The user side self-service module unit comprises: the system comprises a service information input module, a service self-service module, a service state interaction module, a service event evaluation module and a service staff evaluation module. The user side self-service module unit is mainly used for carrying out intercommunication and interaction between a user and the central service platform, and better realizes service optimization.
The mobile supervision end patrol supervision module unit comprises: the system comprises a service event summarizing module, a service event real-time spot check module, a service event judging, analyzing and summarizing module, a service personnel state statistical analysis module, an emergency module and a service personnel evaluation module. The mobile monitoring end inspection and monitoring module unit mainly realizes the total real-time control of the service event and the service quality by the central service platform, and realizes the remote inspection and the assault spot check of personnel, thereby comprehensively improving the service capability of the service personnel on the service event and timely adjusting the service personnel in response to the emergency.
The invention has the following beneficial effects:
1. the invention relates to an installation, maintenance and operation integrated autonomous sharing service platform system, which effectively solves a series of problems of poor utilization rate of the existing service resources, low service flexibility, poor self-help, poor service real-time property and the like in the society, and effectively enables a plurality of professional and technical freely-selected service providers in the society to quickly interface the required service in peripheral areas or fixed-point areas through the platform system, so that the service process is precise, the service effect is convenient and fast, the service interface flexibility is activated, the service selection is diversified, and the interaction process aiming at the service is comprehensively promoted from multiple aspects;
2. the installation, maintenance and operation integrated autonomous sharing service platform system has the advantages of comprehensive sharing of service personnel, user self-service experience, accurate big data prediction and evaluation and the like, greatly improves the utilization rate of service personnel in multiple fields and multiple industries, comprehensively realizes a new generation of service mechanism and system with high self-help, sharing, pertinence, quality and supervision, reforms a service system into a self-service supermarket, and has super-strong comprehensive analysis and customization experience;
3. the invention utilizes a method combining big data comprehensive analysis technology, artificial intelligence machine learning technology, GPS positioning navigation technology and wireless communication technology, and comprehensively improves the service big data comprehensive simulation analysis effectiveness by service big data service problem prediction analysis simulation solution, thereby ensuring the problem prediction success of service events, promoting the service dispatch accurate butt joint, improving quality service by big service and achieving the optimization of service quality;
4. the invention opens a service self-service transaction mechanism, effectively carries out flexible sharing and multiplexing on installation, maintenance and service personnel of various industries in the society, and realizes the strict supervision of a service supervision mechanism and an evaluation mechanism through real-time supervision through precise strict service quality management and control, thereby realizing self-service sharing service with high quality;
5. the invention can be widely applied to equipment (computers, printers, household appliances, elevators, vehicles, mechanical equipment and the like) installation, maintenance and service, can realize time-sharing and sharing of housekeeping service, hotel service (cleaning, maintenance and the like) and enterprise service, and each service staff can carry out self-service selection to realize a service system with unlimited service and guaranteed quality; the user service is self-selected and real-time interactive, and the self-help and high-security of the service platform are comprehensively realized.
6. By establishing the installation, maintenance and operation integrated independent sharing service platform system, establishing a unified and perfect service unified management evaluation mechanism and a big data comprehensive factor evaluation mechanism, the service happiness of customers and the holding quantity of customer services are ensured, so that the high-quality development of accurate services of intelligent towns, intelligent villages and production life is comprehensively promoted, the platform system comprehensively realizes ultrahigh self-help, sharing, pertinence, quality and supervision on the services by adding big data and artificial intelligence, and a solid foundation is laid for the establishment of service supermarkets.
Drawings
Fig. 1 is a structural frame diagram of the present invention.
FIG. 2 is a block diagram of a central service platform module.
FIG. 3 is a diagram of a service module unit of the service personnel end.
FIG. 4 is a diagram of a client-side self-service module unit architecture.
Fig. 5 is a diagram of a mobile monitoring end patrol monitoring module unit architecture.
FIG. 6 is a flow chart of service initiation, response, and implementation.
Detailed Description
The embodiments of the present invention will be further described with reference to the accompanying drawings.
Example 1
As shown in fig. 1-6, an installation, maintenance and operation integrated autonomous sharing service platform system comprises a central service platform module unit, a service staff end service module unit, a user end self-service module unit and a mobile supervision end patrol and supervision module unit, wherein the service staff end service module unit is connected with the central service platform module unit in an interconnected manner, the user end self-service module unit is connected with the central service platform module unit in an interconnected manner, and the mobile supervision end patrol and supervision module unit is connected with the central service platform module unit in an interconnected manner.
The central service platform module unit is used for comprehensively controlling service personnel, users and service events, realizing optimized resource allocation and personnel utilization by analyzing, judging and predicting states of the service personnel, the users and the service events, evaluating personnel, products and services and finally realizing optimization of a service process and accurate control of service time and the process. The central service platform module unit comprises: the system comprises a basic information module, a business information module, a service quality evaluation module, a big data comprehensive analysis module, a platform statistics display module, a service accurate scheduling module, a problem intelligent analysis module, a comprehensive learning growth module, a service state real-time analysis module, a picture video comprehensive analysis module, a service quality evaluation module, a service personnel service quality and attitude multiple judgment analysis module, a service personnel and user point comparison module, a manufacturer product maintenance analysis data module and a user demand service analysis module.
Preferably, the basic information module is mainly used for counting and recording the information of service personnel and users, checking the authenticity of relevant information of the service personnel and pushing and communicating public security recording information to the service personnel at home;
preferably, the service information module is mainly used for receiving the service event, analyzing the service event and determining the priority, and comprehensively analyzing the place of occurrence of the service event and the required service so as to lay a foundation for determining the next butt joint with service personnel;
preferably, the service quality evaluation module mainly performs statistics and overall evaluation of service events, performs sometimes adjustment of service resources according to evaluation results to realize sometimes optimization of services, and performs simulation prediction for future services;
preferably, the big data comprehensive analysis module firstly establishes databases of service personnel, customers, service events, product problems and the like, and mainly analyzes relevant factors of the service personnel, wherein the relevant factors include personnel state, historical service quality, service order receiving rate and the like; the method comprises the following steps of performing overall analysis on service events, wherein the overall analysis comprises statistical analysis on year, month and week homogeneous service events, and analysis on service event occurrence areas, service time satisfaction, service responsiveness and service sharing rate; the full analysis and simulation prejudgment of the service process mainly realize problem analysis and classification of the state information acquired before service, and the targeted solution is simulated and made through the learning decision of a database, so that the service quality and efficiency are accelerated and pertinently improved; performing big data analysis on a service object product, and mainly performing targeted problem statistics and classification on related maintenance products so as to provide data reference support for merchants;
preferably, the platform statistics display module is mainly used for performing all-around visual statistics display on service personnel, clients, events, problems and related products, can be referred by supervision and inspection personnel or data analysis personnel, and performs visual statistics display on associated people and services, people and products, regions, service quality, personnel evaluation, customized service requirements and the like;
preferably, the accurate service scheduling module is mainly used for performing rapid customized allocation according to service places, service requirements and service personnel qualities required by users, comprehensively meeting service events of different types, different prices and different styles, and improving the service satisfaction of the users;
preferably, the problem intelligent analysis module is mainly used for analyzing and classifying according to service information uploaded by a user and a problem state, scientifically comparing service databases, preliminarily pre-judging the type of the required service, service difficulty, more pertinently and scientifically dispatching professional service personnel, and most quickly and effectively realizing service optimization scientization;
preferably, the comprehensive learning growth module is mainly used for summarizing, analyzing and learning various service problems, summarizing and warehousing the problems according to a solution fed back by a master, searching a targeted service solution strategy from the internet in real time by the system for warehousing comparison, realizing a more targeted and professional service solution strategy, and achieving the effects of optimizing service efficiency and optimizing service quality;
preferably, the service state real-time analysis module is mainly used for interacting with a system in a service process through problems encountered by a client and a service worker in the service process and feelings in the service process through a user self-service terminal and a client of the service worker, so that a fastest and optimal solution is achieved under the support of a large service database, contradictions are resolved in time, and the best happiness of service experience is realized;
preferably, the picture video comprehensive analysis module mainly collects information before, after and during service events of clients and service personnel, and establishes a targeted solution for making a service strategy by big data comprehensive prejudgment;
preferably, the service quality evaluation module is mainly used for comprehensively evaluating and judging users, service events, problem solving and service products by service personnel through big data, and performing early-stage data statistics for realizing the grade evaluation of the service personnel and the evaluation of the service quality;
preferably, the service quality and attitude multiple evaluation and analysis module of the service personnel mainly evaluates scores through factors such as user feedback and fast busy, quality and the like for solving problems, and comprehensively evaluates the service personnel by combining self state before service, flexible decision degree and capability improvement degree in the service process, and finally determines the grade and the actual state of the service personnel;
preferably, the service personnel and user point comparison module mainly establishes a credit library of the service personnel and the user, realizes the association of service personnel grades and the association of user grades, and finally realizes the best service for the best customers;
preferably, the manufacturer product maintenance analysis data module is mainly used for establishing a product service database, determining the quality grade of similar products and user preference analysis, and guiding product manufacturers to improve and evolve products;
preferably, the user demand service analysis module mainly analyzes the user demand times, the service demand grade and the service satisfaction state, so as to establish the user portrait and lay a foundation for realizing accurate targeted service.
The service staff end service module is used for managing and butting a plurality of service matters such as service staff service position determination, service state information receiving and sending, user evaluation, service problem solution formulation, service capability improvement and the like. The service staff end service module unit comprises: the system comprises a service personnel state input module, a service problem input module, a service strategy feedback module, a service process video recording and photographing module, a service event analysis module and a customer evaluation module.
Preferably, the service staff state entry module is mainly used for carrying out self-service docking of service staff, entering relevant information including service capacity, service time, service willingness, service relevant requirements and the like, and providing a basis for carrying out accurate docking and service event delegation on of a central service platform, so that higher flexibility and reliability of the service staff are realized;
preferably, the service problem entry module performs problem judgment and solution setting according to a series of measures such as user description, system inference, field review and the like after a main service worker arrives, uploads the problem judgment and solution setting to a central service platform, waits for a feedback decision, finally realizes an optimized service solution, and improves the user service satisfaction;
preferably, the service policy feedback module executes relevant problems and variables occurring in the service solution process mainly after communication with the central service platform in the service process, and performs a module for scheme adjustment and feedback, which is helpful for realizing an optimal solution;
preferably, the service event analysis module and the client evaluation module mainly perform comprehensive evaluation of service events after service is finished and warehousing and classification of service problem solutions, and provide experience on the service events and evaluation on the clients, so as to establish a client portrait and perform more targeted service.
The user side self-service module unit is mainly used for carrying out intercommunication and interaction between a user and the central service platform, and better realizes service optimization. The self-service modular unit of user side includes: the system comprises a service information input module, a service self-service module, a service state interaction module, a service event evaluation module and a service staff evaluation module.
Preferably, the service information input module is mainly used for inputting basic information of a user, and adding an information payment treasure butt joint function, so that the making of a user portrait and the user grade evaluation are facilitated;
preferably, the service self-service module is mainly used for reporting service events, making appointments, uploading data information of wishes selected by service masters, service time and service problems, and is used for better service docking of the central service platform;
preferably, the service state interaction module mainly performs interaction with a central service platform in a service process, solves a sudden event, peaces harmony services of service personnel and users, and the like, and better realizes service optimization;
preferably, the service event evaluation module is mainly used for realizing satisfaction survey of a user on the service and reliability statistics of a solution to the service after the service;
preferably, the service staff evaluation module mainly realizes the satisfaction degree of the user to the service staff after the service, the evaluation of the service resolving capability of the service staff and other functions.
The mobile monitoring end inspection and monitoring module unit mainly realizes the overall real-time control of the service event and the service quality by the central service platform, and measures such as personnel remote inspection, assault spot check, automatic system inspection form filling and the like, thereby comprehensively improving the service capability of the service personnel on the service event and timely adjusting the service personnel in response to the emergency. The mobile monitoring end patrol monitoring module unit comprises: the system comprises a service event summarizing module, a service event real-time spot check module, a service event judging, analyzing and summarizing module, a service personnel state statistical analysis module, an emergency module and a service personnel evaluation module.
Preferably, the service event summarizing module is mainly used for carrying out comprehensive statistical summarization on service events, including overall control of regional, annual, monthly, weekly and daily service events, so that service states can be effectively managed, and service expansion is carried out;
preferably, the service event real-time spot check module mainly realizes immediate service check, ensures service in-place degree and improves service reliability;
preferably, the service event judgment, analysis and summary module mainly realizes comprehensive judgment of regional service events, performs related matters such as recruitment, matching and scheduling of service personnel aiming at regional service requirements, and determines reliability of service products and recommendation and judgment of next-step products according to the service events and the service products;
preferably, the emergency module for emergency events mainly solves the problem of dealing with the occurrence of emergency events, so as to quickly adjust, accurately deal with a series of equivalent measures, realize the controllability of service events and achieve high certainty of service satisfaction;
preferably, the service person evaluation module mainly evaluates the service capability, the service state, the service flexibility and the like of the service person aiming at random spot check and emergency solution so as to determine the credit level of the service person.
When the invention is used: firstly, a client inputs a basic information module and pays attention or registers through a public number and an applet, the process is divided into two types, one type is a common-level service demand client, the client can pay attention only without registering, the client platform system is defaulted as a common user and can carry out basic self-service; the professional and the client or the long-term client needing some high-level services can perform VIP grading client registration and perform verification through WeChat, Paibao and the like; the central service platform also selects high-quality products for service customers to push according to the VIP service;
secondly, the customer inputs the information of the business information module, can issue the matters that need to be served from the public number and the small program, and choose according to the options given by the system, if the fault maintenance or maintenance service, automatically enter the picture video comprehensive analysis module, enter the picture and video uploading column, upload the picture and video of the relevant matters of the service, more effective to determine the service content;
thirdly, the client determines the position of the client and the position of a service staff through a public number and a small program, a business information module is automatically and synchronously input, a common user intelligently sees the position of the service staff and cannot see the evaluation ranking of the service staff in the area, the VIP grading client can enter a service quality evaluation module to inquire the evaluation ranking of the service staff in any area, common customer service can only be automatically dispatched by a central service platform, the VIP client can carry out self-selection of the service staff, and reservation service can be carried out at regular time and fixed point along with the higher VIP level;
finally, after the customer and the service personnel carry out service appointment, the service personnel go to the home, the customer can take pictures or record videos and upload the service personnel and the service process on the public number and the small program, data backup is carried out on a large service data resource library, and service basis supplement is not carried out on the system evaluation of the service personnel; after the service is finished, the client can comprehensively judge service personnel and the service process on the public numbers and the applets, enters a service quality evaluation module, carries out multiple evaluations according to the user grades, and can carry out related supplement of service matters in follow-up service tracking.
The implementation of self-service taking the service implementation with the service staff side as the view angle as an example is as follows:
firstly, a service person inputs a basic information module, the service person needs to register on a public number or a small program, the registration needs to be verified by a personal identification card, personal identification card photos and information need to be uploaded, and the information can be backed up by a public security system through a central service platform module; service personnel can grade VIP service, and mainly carry out customized reservation of customers, service cross-regionalization and graded service realized by high-quality product popularization on some high-end technical service personnel;
secondly, the service personnel end receives optional customer service pushed by the central service platform according to the VIP level of the service personnel through the service information module and also receives customized reservation service selected by a high-grade VIP customer, the customer and the service personnel carry out early stage bargaining on the jeff information module, then two parties can carry out related service bargaining by themselves, the central system does not participate in nor relate to related service bargaining matters, the early stage matters of service execution are finally determined, and home-in service is carried out after the time and the place are determined;
thirdly, the service personnel enter the service information module, and the basic analysis result of the service event given by the central service platform system through the big data comprehensive analysis module and the preliminary prediction solution carried out according to the service event are received and butted; the central service platform can perform preliminary problem analysis according to the service event pictures and videos uploaded by the client, preliminarily determine a service solution, and service personnel can also check the pictures and the videos to determine the own cause and counter scheme, comprehensively compare the solutions given by the central service platform and select the best solution to determine;
then, service personnel can carry out service affair pre-analysis according to the user requirement service analysis module to determine the initial solution and then go to home service, and start the service state real-time analysis module to upload the relevant pictures and videos of the service affair after arriving at the customer service place, and the service personnel can check the dynamic optimal service solution given by the central service platform in real time through the service state real-time analysis module and the big data comprehensive analysis module and then comprehensively determine the optimal service and solution according to self understanding; after the service personnel start to perform service, once the intermediate service process is abnormal, the service event cannot be perfectly realized, firstly, the service personnel can dynamically plan an optimal service solution through a central service platform and can also perform advanced service personnel rescue through a service accurate scheduling module, the central service platform can perform automatic evaluation at the fastest speed and dispatch the advanced service personnel for service maintenance, and the aim is to realize service optimization;
finally, after the service event is completed, service personnel upload service effect pictures and videos through the picture and video comprehensive analysis module, summarize the service event in the big data comprehensive analysis module, determine a service solution of the service type according to the service process, and perform warehousing analysis and classification on the central service platform; then the service personnel enters a business information module to perform relevant evaluation on the service of the client, the evaluation is performed according to an option menu given by the system, tracking return visits of 1 day, 3 days, 7 days and 30 days are performed, and finally the service is completed satisfactorily.
The implementation of self-service taking the service implementation taking the comprehensive analysis of the central service platform as a visual angle as an example is as follows:
firstly, a central service platform receives a service self-service application initiated by a customer through a self-service end, the central service platform uploads information of a ball problem to a big data comprehensive analysis module, comprehensively judges a service event and classifies the service event, wherein the service event comprises a service type, service personnel, a customer service position and a dynamic position of the service personnel, a preliminary prediction service scheme of the service is finally determined through analysis, and service information of the next step is delivered or the service personnel is dispatched through a service accurate dispatching module;
secondly, the central service platform analyzes and compares the same kind of service events through an optimization algorithm according to the picture video comprehensive analysis module and the big data comprehensive analysis module, performs pre-judgment on the service scheme by combining an optimal service solution provided by service personnel in the same kind of service events, and sends a related solution pre-judgment scheme to the service personnel; meanwhile, the service state real-time analysis module is used for carrying out real-time dynamic adjustment, and finally, the comprehensive assessment of the professional level of the service personnel is carried out through the service quality and attitude multiple judgment analysis module of the service personnel, and integral dynamic adjustment is carried out, so that the VIP level of the service personnel is adjusted;
thirdly, the central service platform performs service solution simulation analysis according to the big data analysis module of the central service platform, and performs a series of analysis measures such as dynamic solution adjustment, service event grading adjustment, service difficulty grading calibration, service level grading adjustment of service personnel, product maintenance and product quality grading, regional service type demand calibration and the like through the problem intelligent analysis module and the comprehensive learning growth module, so that the service is comprehensively ensured to be used as a credit mechanism of a commodity;
thirdly, the central service platform compares the service problem pictures, videos and service problem descriptions which are sent by the service personnel in the service event in real time with the analysis result of the big data comprehensive analysis module in real time in the service event, and performs real-time data analysis and solution dynamic simulation on the whole service process to ensure that an optimal service scheme is realized;
at the same time. In the process of analyzing data and adjusting a prediction solution, the central service platform monitors, controls and controls service events and service quality through a mobile monitoring end patrol monitoring module according to the properties and areas of the service events, realizes remote patrol, assault spot check of personnel, automatically patrols a filling bill by a system and other measures, comprehensively improves the service capability of the service personnel on the service events, and timely adjusts the service personnel in response to the emergencies;
finally, the central service platform automatically classifies service events, automatically updates the service personnel and user point comparison module, ensures the service happiness of the service personnel and the serviced personnel, carries out comprehensive analysis according to the product maintenance times and the regional service requirements, ranks the service products according to the service happiness, determines the product to-be-completed requirements and the user product satisfaction intention, and carries out data analysis support for factory big data guidance and accurate advertisement delivery.
The invention realizes a service self-service time-sharing system, creatively realizes a dynamic accurate big data prediction mechanism of a service solution scheme, comprehensively solves the phenomena of untimely service, inadequate service, low sharing utilization rate and the like in the society, greatly improves the utilization rate of multi-field and multi-industry service personnel, and comprehensively realizes a new generation service mechanism and a system with high self-help, sharing, pertinence, quality and supervision.
Claims (9)
1. The utility model provides an installation is maintained operation integration and is independently shared service platform system, includes central service platform modular unit, service personnel end service modular unit, the self-service modular unit of user side, removes supervise end inspection and supervise modular unit, its characterized in that: the service staff side service module unit is connected with the central service platform module unit in an interconnected mode, the user side self-service module unit is connected with the central service platform module unit in an interconnected mode, and the mobile supervision side patrol and supervision module unit is connected with the central service platform module unit in an interconnected mode.
2. The integrated installation, maintenance and operation autonomous shared service platform system of claim 1, wherein: the central service platform module unit includes: the system comprises a basic information module, a business information module, a service quality evaluation module, a big data comprehensive analysis module, a platform statistics display module, a service accurate scheduling module, a problem intelligent analysis module, a comprehensive learning growth module, a service state real-time analysis module, a picture video comprehensive analysis module, a service quality evaluation module, a service personnel service quality and attitude multiple judgment analysis module, a service personnel and user point comparison module, a manufacturer product maintenance analysis data module and a user demand service analysis module.
3. The installation, maintenance and operation integrated autonomous shared service platform system according to claim 1 or 2, characterized in that: the central service platform module unit is used for comprehensively controlling service personnel, users and service events, realizing optimized resource allocation and personnel utilization by analyzing, judging and predicting states of the service personnel, the users and the service events, evaluating personnel, products and services and finally realizing optimization of a service process and accurate control of service time and the process.
4. The integrated installation, maintenance and operation autonomous shared service platform system of claim 1, wherein: the service staff end service module unit comprises: the system comprises a service personnel state input module, a service problem input module, a service strategy feedback module, a service process video recording and photographing module, a service event analysis module and a customer evaluation module.
5. The installation, maintenance and operation integrated autonomous shared service platform system according to claim 1 or 4, characterized in that: the service staff end service module unit is used for managing and butting a plurality of service matters such as service staff service position determination, service state information receiving and sending, user evaluation, service problem solution formulation, service capability improvement and the like.
6. The integrated installation, maintenance and operation autonomous shared service platform system of claim 1, wherein: the user side self-service module unit comprises: the system comprises a service information input module, a service self-service module, a service state interaction module, a service event evaluation module and a service staff evaluation module.
7. The installation, maintenance and operation integrated autonomous shared service platform system according to claim 1 or 6, characterized in that: the user side self-service module unit is mainly used for carrying out intercommunication and interaction between a user and the central service platform, and better realizes service optimization.
8. The integrated installation, maintenance and operation autonomous shared service platform system of claim 1, wherein: the mobile supervision end patrol supervision module unit comprises: the system comprises a service event summarizing module, a service event real-time spot check module, a service event judging and analyzing summarizing module, a service personnel state statistical analysis module, an emergency module and a service personnel evaluation module.
9. The integrated installation, maintenance and operation autonomous shared service platform system according to claim 1 or 8, characterized in that: the mobile monitoring end inspection and monitoring module unit mainly realizes the total real-time control of the service event and the service quality by the central service platform, and realizes the remote inspection and the assault spot check of personnel, thereby comprehensively improving the service capability of the service personnel on the service event and timely adjusting the service personnel in response to the emergency.
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