CN112257881A - Solar photovoltaic intelligent maintenance management system - Google Patents
Solar photovoltaic intelligent maintenance management system Download PDFInfo
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- CN112257881A CN112257881A CN202011158732.5A CN202011158732A CN112257881A CN 112257881 A CN112257881 A CN 112257881A CN 202011158732 A CN202011158732 A CN 202011158732A CN 112257881 A CN112257881 A CN 112257881A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/20—Administration of product repair or maintenance
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06311—Scheduling, planning or task assignment for a person or group
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
Abstract
The invention discloses a solar photovoltaic intelligent maintenance management system which comprises a maintenance sharing module, a task allocation module and a screening recommendation module, wherein the maintenance sharing module is used for maintenance personnel to share maintenance experience, and the maintenance experience is published and shared in a manuscript or voice form; the screening and recommending module is used for intelligently screening and recommending maintenance personnel for the fault maintenance task of the solar photovoltaic equipment, and the maintenance personnel are screened out through the maintenance value and the recommended value obtained through calculation, so that maintenance resources are effectively and reasonably distributed, and the maintenance efficiency of the solar photovoltaic equipment is guaranteed; the task allocation module is used for allocating maintenance tasks, maintenance personnel do not receive the tasks within the effective time, and the maintenance tasks are allocated through the task allocation module, so that the maintenance efficiency and the maintenance progress of the solar photovoltaic equipment are guaranteed.
Description
Technical Field
The invention belongs to the field of solar photovoltaic application, relates to an intelligent maintenance management system, and particularly relates to a solar photovoltaic intelligent maintenance management system.
Background
Solar photovoltaic systems, also known as photovoltaics, refer to facilities that utilize the photovoltaic effect of photovoltaic semiconductor materials to convert solar energy into direct current electrical energy. The core of a photovoltaic installation is a solar panel. The semiconductor materials used for power generation are mainly: monocrystalline silicon, polycrystalline silicon, amorphous silicon, cadmium telluride, and the like. Since the application of renewable energy is actively promoted in various countries in recent years, the development of the photovoltaic industry is very rapid.
In the prior art, when a solar photovoltaic device breaks down, a telephone is often used for communicating a certain maintenance person to maintain, when the maintenance person cannot maintain in time, the solar photovoltaic device is stopped for a long time, solar photovoltaic power generation is influenced, other maintenance persons are searched again, a large amount of time is wasted, a current maintenance mode cannot reasonably and effectively distribute maintenance resources, and the maintenance efficiency of the solar photovoltaic device cannot be guaranteed.
Disclosure of Invention
Aiming at the defects in the prior art, the invention aims to provide a solar photovoltaic intelligent maintenance management system.
The technical problem to be solved by the invention is as follows:
when the solar photovoltaic equipment breaks down, a certain maintenance personnel is often communicated with a telephone to maintain, when the maintenance personnel cannot maintain in time, the solar photovoltaic equipment is stopped for a long time to influence the solar photovoltaic power generation, other maintenance personnel are searched again, a large amount of time is wasted, the maintenance resources cannot be reasonably and effectively distributed in the current maintenance mode, and the maintenance efficiency of the solar photovoltaic equipment cannot be guaranteed.
The purpose of the invention can be realized by the following technical scheme:
a solar photovoltaic intelligent maintenance management system comprises a maintenance release module, a positioning module, a maintenance sharing module, a task allocation module, a screening recommendation module, an evaluation module, a server and a plurality of mobile terminals;
the mobile terminals are used for registration and login of workers and maintenance personnel, and sending personal information to the server for storage; the maintenance release module is used for releasing a fault maintenance request of the solar photovoltaic equipment by a worker and sending the fault maintenance request to the server; the positioning module is used for positioning the geographic position of a maintenance worker;
the maintenance sharing module is used for sharing maintenance experience by maintenance personnel, and the maintenance experience is published and shared in a manuscript or voice mode; the evaluation module is used for evaluating the maintenance work of a maintenance worker by the worker and sending the evaluation result to the server for recording;
the screening and recommending module is used for intelligently screening and recommending maintenance personnel for the fault maintenance task of the solar photovoltaic equipment; the screening recommendation module comprises a timing unit, and when the maintenance task is sent to the mobile terminal of the selected maintenance personnel, the timing unit starts timing; and the task allocation module is used for allocating maintenance tasks.
Further, the specific intelligent screening recommendation process of the screening recommendation module is as follows:
s1: classifying maintenance personnel in an idle state as a candidate, and marking the candidate as i, i is 1, … …, n;
s2: acquiring the total maintenance amount WZi and the maintenance success amount WCi of the solar photovoltaic equipment of the person to be selected, and calculating the maintenance success rate Ci of the person to be selected;
s3: acquiring the current maintenance task amount of a person to be selected, and marking the current maintenance task amount as WRi; acquiring the total maintenance time of the solar photovoltaic equipment of the person to be selected, and dividing the total maintenance time by the total maintenance time to obtain the average maintenance time WPTi of the person to be selected;
s4: and calculating a maintenance value Wi of the to-be-selected person by using a formula, wherein the specific formula is as follows:
s5: obtaining maintenance experience sharing times of the person to be selected, and marking the maintenance experience sharing times as Fi; acquiring the working time Ti, the maintenance price Gi and the favorable rating Hi of a person to be selected;
s6: establishing a rectangular coordinate system by taking the failed solar photovoltaic equipment as an original point, and calculating by using a distance formula to obtain a linear distance Ji between the person to be selected and the failed solar photovoltaic equipment;
s7: the recommended value TJi is calculated by using a formula, and the specific calculation formula is as follows:
s8: maintenance personnel are arranged in a descending order according to the recommended values to generate a screening recommendation table, the screening recommendation table is fed back to a server, the server selects the first position of the screening recommendation table as the maintenance personnel of the fault maintenance task of the solar photovoltaic equipment, meanwhile, a screening recommendation module generates the maintenance task to be sent to a mobile terminal of the maintenance personnel, the maintenance personnel can receive the maintenance task through clicking of the mobile terminal, and meanwhile, the maintenance total amount of the maintenance personnel is increased once.
Further, the specific allocating steps of the task allocating module are as follows:
the method comprises the following steps: acquiring the time for generating the maintenance task by the screening recommendation module, and marking the time for generating the maintenance task by the screening recommendation module as T1;
step two: marking the time when the mobile terminal receives the maintenance task as the starting time of a timing unit, marking the starting time as T2, and obtaining the used time T3 for sending the maintenance task to the mobile terminal by using T3-T2-T1;
step three: after a waiting time period T4, the task allocation module generates a primary reminding signal and reminds a maintenance worker corresponding to the mobile terminal in a vibration mode; after a waiting time period T5, the task allocation module generates a primary reminding signal and reminds a maintenance worker corresponding to the mobile terminal in a ring form, wherein T4 and T5 are both preset waiting time periods, and T5 is less than T4;
step four: setting a maintenance task receiving waiting time threshold TY, and generating a task allocation signal when T1+ T3+ T4+ T5 > TY, and loading the generated task allocation signal to a server;
step five: and the server eliminates the current maintenance task from the first position in the screening recommendation table, and sequentially makes candidates according to the recommended value.
Further, the personal information comprises staff information and maintenance staff information, the maintenance staff information comprises names, real-name authentication mobile phone numbers, identity card numbers and personal photos, and the maintenance information comprises total maintenance amount, maintenance work amount, total maintenance duration, current maintenance task amount, job time, maintenance price, goodness and experience sharing times.
Furthermore, the maintenance release module is also used for releasing the geographic position, the maintenance quantity, the maintenance type and the maintenance model of the solar photovoltaic equipment; the positioning module is also used for sending the position information of the fault solar photovoltaic equipment to a mobile phone terminal of a maintenance worker; the maintenance experience comprises solar photovoltaic equipment fault factors, fault solutions and maintenance summaries.
Compared with the prior art, the invention has the beneficial effects that:
1. when the solar photovoltaic equipment fails, a worker timely issues a failure request, and a maintenance worker is screened out through the maintenance value and the recommended value obtained through calculation, and the maintenance worker can drive to maintain according to the position information of the failed solar photovoltaic equipment, so that maintenance resources are effectively and reasonably distributed, and the maintenance efficiency of the solar photovoltaic equipment is also guaranteed;
2. after the faulty solar photovoltaic equipment is repaired, the evaluation module is used for evaluating the maintenance work of maintenance personnel and scoring the service of the maintenance personnel, so that the maintenance quality and the service level of the maintenance personnel are improved conveniently; the maintenance experience is released and shared through the maintenance sharing module, so that mutual learning and benefit and deficiency summary of maintenance personnel are facilitated; the maintenance release module synchronously releases information such as maintenance types, geographical positions, maintenance quantities, maintenance models and the like of the solar photovoltaic equipment, so that maintenance personnel can conveniently carry matched maintenance tools in advance and make sufficient maintenance preparation work;
3. according to the invention, after the maintenance personnel are selected, the maintenance personnel do not receive the task in time within the effective time, and the maintenance task is allocated to the corresponding working personnel through the task allocation module, so that the maintenance efficiency and progress of the solar photovoltaic equipment are ensured, and a large amount of time is saved.
Drawings
In order to facilitate understanding for those skilled in the art, the present invention will be further described with reference to the accompanying drawings.
FIG. 1 is an overall system block diagram of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, a solar photovoltaic intelligent maintenance management system includes a maintenance release module, a positioning module, a maintenance sharing module, a task allocation module, a screening recommendation module, an evaluation module, a server, and a plurality of mobile terminals;
the mobile terminals are used for registering and logging in by workers and maintenance personnel, and sending personal information to the server for storage, wherein the personal information comprises worker information and maintenance personnel information, the maintenance personnel information comprises names, real-name authentication mobile phone numbers, identity card numbers and personal photos, and the maintenance information comprises total maintenance amount, maintenance work amount, total maintenance duration, current maintenance task amount, working time, maintenance price, favorable rating rate and experience sharing times;
the maintenance release module is used for releasing a fault maintenance request of the solar photovoltaic equipment by a worker and sending the fault maintenance request to the server, and is also used for releasing the geographic position, the maintenance quantity, the maintenance type, the maintenance model and the like of the solar photovoltaic equipment, and the maintenance worker carries required tools according to the maintenance type and the maintenance model and prepares maintenance work in advance;
the positioning module is used for positioning the geographical position of a maintenance worker, and the positioning module is also used for sending the position information of the fault solar photovoltaic equipment to a mobile phone terminal of the maintenance worker, so that the maintenance worker can conveniently reach a maintenance place in time according to the position information;
the maintenance sharing module is used for maintenance personnel to share maintenance experience, the maintenance experience is published and shared in the forms of manuscripts or voices and the like, the maintenance experience comprises failure factors of the solar photovoltaic equipment, failure solutions and maintenance summaries, and mutual learning and advantage and disadvantage summary of the follow-up maintenance personnel are facilitated; the evaluation module is used for evaluating the maintenance work of a maintenance worker by the worker and sending the evaluation result to the server for recording;
the screening recommendation module is used for intelligently screening and recommending maintenance personnel for fault maintenance tasks of the solar photovoltaic equipment, and the specific intelligent screening recommendation process comprises the following steps:
s1: classifying maintenance personnel in an idle state as a candidate, and marking the candidate as i, i is 1, … …, n;
s2: acquiring the total maintenance amount WZi and the maintenance success amount WCi of the solar photovoltaic equipment of the person to be selected, and calculating the maintenance success rate Ci of the person to be selected;
s3: acquiring the current maintenance task amount of a person to be selected, and marking the current maintenance task amount as WRi; acquiring the total maintenance time of the solar photovoltaic equipment of the person to be selected, and dividing the total maintenance time by the total maintenance time to obtain the average maintenance time WPTi of the person to be selected;
s4: and calculating a maintenance value Wi of the to-be-selected person by using a formula, wherein the specific formula is as follows:
s5: obtaining maintenance experience sharing times of the person to be selected, and marking the maintenance experience sharing times as Fi; acquiring the working time Ti, the maintenance price Gi and the favorable rating Hi of a person to be selected;
s6: establishing a rectangular coordinate system by taking the failed solar photovoltaic equipment as an original point, and calculating by using a distance formula to obtain a linear distance Ji between the person to be selected and the failed solar photovoltaic equipment;
s7: the recommended value TJi is calculated by using a formula, and the specific calculation formula is as follows:
s8: the method comprises the steps that maintenance personnel generate screening recommendation tables according to descending order of recommended values, the screening recommendation tables are fed back to a server, the server selects the maintenance personnel with the head of the screening recommendation table being a maintenance task of the solar photovoltaic equipment failure, meanwhile, a screening recommendation module generates the maintenance task to be sent to a mobile terminal of the maintenance personnel, the maintenance personnel can receive the maintenance task through clicking of the mobile terminal, and meanwhile, the maintenance total amount of the maintenance personnel is increased once;
the screening recommendation module comprises a timing unit, and when the maintenance task is sent to the mobile terminal of the selected maintenance personnel, the timing unit starts timing;
the task allocation module is used for allocating maintenance tasks, and the specific allocation steps are as follows:
the method comprises the following steps: acquiring the time for generating the maintenance task by the screening recommendation module, and marking the time for generating the maintenance task by the screening recommendation module as T1;
step two: marking the time when the mobile terminal receives the maintenance task as the starting time of a timing unit, marking the starting time as T2, and obtaining the used time T3 for sending the maintenance task to the mobile terminal by using T3-T2-T1;
step three: after a waiting time period T4, the task allocation module generates a primary reminding signal and reminds a maintenance worker corresponding to the mobile terminal in a vibration mode; after a waiting time period T5, the task allocation module generates a primary reminding signal and reminds a maintenance worker corresponding to the mobile terminal in a ring form, wherein T4 and T5 are both preset waiting time periods, and T5 is less than T4;
step four: setting a maintenance task receiving waiting time threshold TY, and generating a task allocation signal when T1+ T3+ T4+ T5 > TY, and loading the generated task allocation signal to a server;
step five: the server eliminates the maintenance task at this time from the first position in the screening recommendation table, and sequentially makes candidates according to the recommended value;
the system further comprises a release analysis module, wherein the release analysis module is used for analyzing the fault maintenance request, and the specific analysis process is as follows:
p1: acquiring a fault maintenance request received by a server, and marking the fault maintenance request as u, u being 1, … …, n;
p2: acquiring the time when the server receives each fault maintenance request, and marking the time when the server receives each fault maintenance request as To;
p3: calculating the issuing duration TFo of each fault maintenance request by using the current time of the system;
p4: obtaining the number of repairs in each failed repair request and marking the number of repairs as WSo;
p5: obtaining a maintenance reward given by each failed maintenance request and marking the maintenance reward as CJo;
p6: the priority value YXo of the fault maintenance request is calculated by using a formula, wherein the specific formula is as follows:
YXo is CJo xc 1+ TFo xc 2+ WSo xc 3, wherein c1, c2 and c3 are all preset fixed proportional coefficient values;
p7: and the server processes the fault maintenance requests in order according to the priority values of the fault maintenance requests.
During operation, the solar photovoltaic intelligent maintenance management system is used for intelligently screening and recommending maintenance tasks of solar photovoltaic equipment fault maintenance tasks through the screening and recommending moduleThe method comprises the steps that a person classifies maintenance personnel in an idle state as a person to be selected i, the total maintenance amount WZi and the maintenance success amount WCi of solar photovoltaic equipment of the person to be selected are obtained firstly, the maintenance success rate Ci of the person to be selected is obtained through calculation, the current maintenance task amount WRi of the person to be selected is obtained, the average maintenance time WPTi of the person to be selected is obtained by dividing the total maintenance time by the total maintenance time, and a formula is used for obtaining the average maintenance time WPTi of the person to be selected
Calculating to obtain a maintenance value Wi of the person to be selected, acquiring maintenance experience sharing times Fi, working time Ti, maintenance price Gi, good evaluation rate Hi and linear distance Ji from the fault solar photovoltaic equipment of the person to be selected, and utilizing a formula
Calculating to obtain a recommended value TJi, arranging according to the recommended value in a descending order by maintenance personnel to generate a screening recommended table, feeding the screening recommended table back to a server, selecting the first position of the screening recommended table by the server as the maintenance personnel of the fault maintenance task of the solar photovoltaic equipment, generating the maintenance task by a screening recommended module and sending the maintenance task to the mobile terminal of the maintenance personnel, clicking by the maintenance personnel through the mobile terminal to receive the maintenance task, and increasing the maintenance total amount of the maintenance personnel once;
the task allocation module is used for allocating maintenance tasks, firstly, the time T1 for generating the maintenance tasks by the screening recommendation module is obtained, the time for receiving the maintenance tasks by the mobile terminal is marked as the starting time of a timing unit, the starting time is marked as T2, the used time length T3 for sending the maintenance tasks to the mobile terminal is obtained by using T3 as T2-T1, and after a waiting time period T4, the task allocation module generates a primary reminding signal and reminds maintenance personnel corresponding to the mobile terminal in a vibration mode; after a waiting time period T5, the task allocation module generates a primary reminding signal, reminds a maintenance worker corresponding to the mobile terminal in the form of a ring, sets a maintenance task receiving waiting time threshold TY, generates a task allocation signal when T1+ T3+ T4+ T5 > TY, generates the task allocation signal, loads the task allocation signal to the server, eliminates the first maintenance task in the screening recommendation table by the server, and sequentially selects the first maintenance task according to the size of the recommendation value;
the issuing analysis module is used for analyzing the fault maintenance requests, the fault maintenance requests u received by the server are obtained, the time To when each fault maintenance request is received by the server is obtained, the issuing duration TFo of each fault maintenance request is obtained through calculation of the current time of the system, then the maintenance quantity WSo in each fault maintenance request and the maintenance remuneration CJo given by each fault maintenance request are obtained, and the priority YXo of the fault maintenance requests is obtained through calculation according To a formula YXo-CJo × c1+ TFo × c2+ WSo × c3, and the server processes the fault maintenance requests in order according To the priority of the fault maintenance requests.
The above formulas are all quantitative calculation, the formula is a formula obtained by acquiring a large amount of data and performing software simulation to obtain the latest real situation, and the preset parameters in the formula are set by the technical personnel in the field according to the actual situation.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise forms disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (5)
1. A solar photovoltaic intelligent maintenance management system is characterized by comprising a maintenance release module, a positioning module, a maintenance sharing module, a task allocation module, a screening recommendation module, an evaluation module, a server and a plurality of mobile terminals;
the mobile terminals are used for registration and login of workers and maintenance personnel, and sending personal information to the server for storage; the maintenance release module is used for releasing a fault maintenance request of the solar photovoltaic equipment by a worker and sending the fault maintenance request to the server; the positioning module is used for positioning the geographic position of a maintenance worker;
the maintenance sharing module is used for sharing maintenance experience by maintenance personnel, and the maintenance experience is published and shared in a manuscript or voice mode; the evaluation module is used for evaluating the maintenance work of a maintenance worker by the worker and sending the evaluation result to the server for recording;
the screening and recommending module is used for intelligently screening and recommending maintenance personnel for the fault maintenance task of the solar photovoltaic equipment; the screening recommendation module comprises a timing unit, and when the maintenance task is sent to the mobile terminal of the selected maintenance personnel, the timing unit starts timing; and the task allocation module is used for allocating maintenance tasks.
2. The solar photovoltaic intelligent maintenance management system of claim 1, wherein the specific intelligent screening recommendation process of the screening recommendation module is as follows:
s1: classifying maintenance personnel in an idle state as a candidate, and marking the candidate as i, i is 1, … …, n;
s2: acquiring the total maintenance amount WZi and the maintenance success amount WCi of the solar photovoltaic equipment of the person to be selected, and calculating the maintenance success rate Ci of the person to be selected;
s3: acquiring the current maintenance task amount of a person to be selected, and marking the current maintenance task amount as WRi; acquiring the total maintenance time of the solar photovoltaic equipment of the person to be selected, and dividing the total maintenance time by the total maintenance time to obtain the average maintenance time WPTi of the person to be selected;
s4: and calculating a maintenance value Wi of the to-be-selected person by using a formula, wherein the specific formula is as follows:
s5: obtaining maintenance experience sharing times of the person to be selected, and marking the maintenance experience sharing times as Fi; acquiring the working time Ti, the maintenance price Gi and the favorable rating Hi of a person to be selected;
s6: establishing a rectangular coordinate system by taking the failed solar photovoltaic equipment as an original point, and calculating by using a distance formula to obtain a linear distance Ji between the person to be selected and the failed solar photovoltaic equipment;
s7: the recommended value TJi is calculated by using a formula, and the specific calculation formula is as follows:
s8: maintenance personnel are arranged in a descending order according to the recommended values to generate a screening recommendation table, the screening recommendation table is fed back to a server, the server selects the first position of the screening recommendation table as the maintenance personnel of the fault maintenance task of the solar photovoltaic equipment, meanwhile, a screening recommendation module generates the maintenance task to be sent to a mobile terminal of the maintenance personnel, the maintenance personnel can receive the maintenance task through clicking of the mobile terminal, and meanwhile, the maintenance total amount of the maintenance personnel is increased once.
3. The solar photovoltaic intelligent maintenance management system according to claim 1, wherein the specific deployment steps of the task deployment module are as follows:
the method comprises the following steps: acquiring the time for generating the maintenance task by the screening recommendation module, and marking the time for generating the maintenance task by the screening recommendation module as T1;
step two: marking the time when the mobile terminal receives the maintenance task as the starting time of a timing unit, marking the starting time as T2, and obtaining the used time T3 for sending the maintenance task to the mobile terminal by using T3-T2-T1;
step three: after a waiting time period T4, the task allocation module generates a primary reminding signal and reminds a maintenance worker corresponding to the mobile terminal in a vibration mode; after a waiting time period T5, the task allocation module generates a primary reminding signal and reminds a maintenance worker corresponding to the mobile terminal in a ring form, wherein T4 and T5 are both preset waiting time periods, and T5 is less than T4;
step four: setting a maintenance task receiving waiting time threshold TY, and generating a task allocation signal when T1+ T3+ T4+ T5 > TY, and loading the generated task allocation signal to a server;
step five: and the server eliminates the current maintenance task from the first position in the screening recommendation table, and sequentially makes candidates according to the recommended value.
4. The solar photovoltaic intelligent maintenance management system according to claim 1, wherein the personal information comprises worker information and maintenance personnel information, the maintenance personnel information comprises names, real-name authentication mobile phone numbers, identification numbers and personal photos, and the maintenance information comprises total maintenance amount, maintenance work amount, total maintenance duration, current maintenance task amount, working time, maintenance price, goodness of appreciation and experience sharing times.
5. The solar photovoltaic intelligent maintenance management system according to claim 1, wherein the maintenance release module is further configured to release the geographic location, the maintenance quantity, the maintenance type, and the maintenance model of the solar photovoltaic device; the positioning module is also used for sending the position information of the fault solar photovoltaic equipment to a mobile phone terminal of a maintenance worker; the maintenance experience comprises solar photovoltaic equipment fault factors, fault solutions and maintenance summaries.
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| CN202011158732.5A CN112257881A (en) | 2020-10-26 | 2020-10-26 | Solar photovoltaic intelligent maintenance management system |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112686649A (en) * | 2021-02-03 | 2021-04-20 | 浙江金卡实业有限公司 | Construction equipment management system based on artificial intelligence |
| CN114492868A (en) * | 2022-01-24 | 2022-05-13 | 山东新兴集团有限公司 | Petrochemical logistics crude oil delivery supervision feedback system |
| CN116303830A (en) * | 2023-03-15 | 2023-06-23 | 深圳开思时代科技有限公司 | Matching method and system for parts to be repaired of automobile |
| CN116483041A (en) * | 2023-05-05 | 2023-07-25 | 广州特纳信息科技有限公司 | Intelligent control system based on Internet of things and big data analysis |
-
2020
- 2020-10-26 CN CN202011158732.5A patent/CN112257881A/en not_active Withdrawn
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112686649A (en) * | 2021-02-03 | 2021-04-20 | 浙江金卡实业有限公司 | Construction equipment management system based on artificial intelligence |
| CN112686649B (en) * | 2021-02-03 | 2021-06-15 | 浙江金卡实业有限公司 | Construction equipment management system based on artificial intelligence |
| CN114492868A (en) * | 2022-01-24 | 2022-05-13 | 山东新兴集团有限公司 | Petrochemical logistics crude oil delivery supervision feedback system |
| CN116303830A (en) * | 2023-03-15 | 2023-06-23 | 深圳开思时代科技有限公司 | Matching method and system for parts to be repaired of automobile |
| CN116303830B (en) * | 2023-03-15 | 2023-10-17 | 深圳开思时代科技有限公司 | Matching method and system for parts to be repaired of automobile |
| CN116483041A (en) * | 2023-05-05 | 2023-07-25 | 广州特纳信息科技有限公司 | Intelligent control system based on Internet of things and big data analysis |
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Application publication date: 20210122 |