CN111242328A - Method for improving operation and maintenance quality and efficiency of equipment - Google Patents
Method for improving operation and maintenance quality and efficiency of equipment Download PDFInfo
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- CN111242328A CN111242328A CN202010125860.3A CN202010125860A CN111242328A CN 111242328 A CN111242328 A CN 111242328A CN 202010125860 A CN202010125860 A CN 202010125860A CN 111242328 A CN111242328 A CN 111242328A
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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
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
Abstract
The invention discloses a method for improving the operation and maintenance quality and efficiency of equipment, which comprises the following steps: (1) establishing a fault description model; (2) establishing a fault prediction model; (3) verifying a fault prediction model; (4) configuring and managing an experience tag library; (5) and (4) accurately pushing experience labels of actual scenes during fault handling. The operation and maintenance work is comprehensively digitalized, the data efficiency is mined, the operation and maintenance flow is managed, data is processed along the idea of data precipitation, a set of complete data models of fault perception, fault description model establishment, fault judgment, fault processing experience processing is formed, operation and maintenance personnel are pushed and collected through the operation and maintenance APP terminal based on the models, the knowledge base is expanded, the operation and maintenance experience precipitation is realized, the aim of guiding the operation and maintenance work is fulfilled, and the operation and maintenance quality and efficiency are greatly improved.
Description
Technical Field
The invention relates to a method for improving the operation and maintenance quality and efficiency of equipment, and belongs to the technical field of internet big data.
Background
With the annual increase of the scale of security operation and maintenance and service markets, the operation and maintenance industry faces many problems, such as: brand equipment incompatibility, untimely response, etc. In view of realizing the intelligent detection and data analysis of the camera, the method relates to maintaining the stability of the optical fiber transmission channel and the equipment, detecting the power supply state of the camera, knowing the working environment of the relevant equipment and the like, and thus, the operation and maintenance service provider is required to be very popular. The traditional operation and maintenance method is that the fault is found to be repaired within the time requirement according to the fault level, the method belongs to fire fighting type operation and maintenance, the working pressure is large, the experience limitation is strong, the working efficiency and the working quality are not embodied, the mobility of operation and maintenance personnel is large due to the large working pressure, the experience of an old worker cannot be well precipitated or follow-up new people are guided to work, the experience loss is caused, the short experience effect is obvious, the communication cost is high, and the old people take time and labor again. Finally, the experience precipitation of the operation and maintenance team is equivalent to the retention of personnel, and the personnel are passive, so that the operation and maintenance efficiency fluctuates once the personnel are lost.
Disclosure of Invention
The invention aims to solve the technical problem of providing a method for improving the operation and maintenance quality and efficiency of equipment, which can push and collect operation and maintenance experience for operation and maintenance personnel, enlarge a knowledge base, realize the precipitation of the operation and maintenance experience and guide the operation and maintenance work, and further improve the operation and maintenance quality and efficiency.
In order to solve the technical problems, the technical scheme of the invention is as follows:
a method for improving the quality and efficiency of equipment operation and maintenance comprises the following steps:
(1) establishing a fault description model: through multi-dimensional monitoring data access, operation and maintenance personnel configure the data characteristics of the dimensions when common faults occur;
(2) establishing a fault prediction model: predicting the fault through a computer according to a pre-established fault description model and accessed multi-dimensional monitoring data, if the data of multiple dimensions meet the conditions, judging that the fault is likely to occur at high risk, and sending a work order to verify and submit feedback for operation and maintenance personnel;
(3) and (3) verifying a fault prediction model: the method comprises the steps of counting the accuracy rate of feedback of operation and maintenance personnel through the establishment of a fault prediction model and manual feedback in actual work of fault prediction to obtain a fault prediction model with higher accuracy rate, and settling the fault prediction model to obtain a fault judgment model with more accurate multi-dimensional data description fault;
(4) configuration and management of an experience tag library: after a data judgment model which describes faults more accurately is obtained, fault description character configuration is carried out manually aiming at each index, data is converted into language description, and a fault processing experience label library is established;
(5) accurate pushing of experience labels of actual scenes during fault handling: the method comprises the steps of pushing experience labels recommended by a computer to operation and maintenance personnel through an APP (application), collecting supplement and identification data of the operation and maintenance personnel on the experience labels, calculating the utility degree of the experience labels, and obtaining the high-utility experience label library of various fault types through data accumulation.
The invention has the beneficial effects that: compared with the prior art, the invention provides a data operation and maintenance thought, the operation and maintenance work is comprehensively digitalized, the data efficiency is mined, the operation and maintenance process is managed, the data is processed along the thought of data precipitation to form a set of complete data models of fault perception, fault description model establishment, fault judgment, fault processing experience processing, the operation and maintenance personnel are pushed and collected by the operation and maintenance experience through the operation and maintenance APP terminal based on the models, the knowledge base is expanded, the operation and maintenance experience precipitation is realized, the aim of guiding the operation and maintenance work is realized, and the operation and maintenance quality and efficiency are greatly improved.
Drawings
FIG. 1 is a schematic flow diagram of the present invention;
the invention is further described with reference to the following figures and detailed description.
Detailed Description
Example 1: as shown in fig. 1, a method for improving the quality and efficiency of the operation and maintenance of equipment is characterized by comprising the following steps:
(1) establishing a fault description model: accessing monitoring data through multiple dimensions, wherein the monitoring data comprises temperature and humidity data, time, road conditions, weather and data such as vehicle passing data and violation data collected by a camera in an operating environment (belonging to a cabinet), and configuring data characteristics of the dimensions by operation and maintenance personnel when common faults occur;
(2) establishing a fault prediction model: according to a pre-established fault description model and accessed multi-dimensional monitoring data, a computer is operated to predict faults, if the data of multiple dimensions meet conditions, the fault is judged to be high in risk and possible to occur, a work order is sent out, and operation and maintenance personnel verify and submit feedback;
(3) and (3) verifying a fault prediction model: through the establishment of the fault prediction model and manual feedback in actual work of fault prediction, the accuracy rate of feedback of operation and maintenance personnel is counted according to days to obtain a fault prediction model with higher accuracy rate, and the fault prediction model is precipitated to obtain a fault judgment model with more accurate multi-dimensional data description fault;
(4) configuration and management of an experience tag library: after a data judgment model which describes faults more accurately is obtained, fault description character configuration is carried out manually aiming at each index, data is converted into language description, and a fault processing experience label library is established;
(5) accurate pushing of experience labels of actual scenes during fault handling: the method comprises the steps of pushing experience labels recommended by a machine to operation and maintenance personnel through an APP, collecting supplement and identification data of the operation and maintenance personnel on the experience labels, calculating the utility degree of the experience labels, and obtaining the high-utility experience label library of various fault types through data accumulation. When the fault type occurs again, the pushed label is more and more accurate, and the operation and maintenance personnel can feel more and more useful.
The embodiments of the present invention are not limited to the above-described examples, and various changes made without departing from the spirit of the present invention are within the scope of the present invention.
Claims (1)
1. A method for improving the quality and efficiency of equipment operation and maintenance is characterized by comprising the following steps:
establishing a fault description model: through multi-dimensional monitoring data access, operation and maintenance personnel configure the data characteristics of the dimensions when common faults occur;
establishing a fault prediction model: predicting the fault through a computer according to a pre-established fault description model and accessed multi-dimensional monitoring data, if the data of multiple dimensions meet the conditions, judging that the fault is likely to occur at high risk, and sending a work order to verify and submit feedback for operation and maintenance personnel;
and (3) verifying a fault prediction model: the method comprises the steps of counting the accuracy rate of feedback of operation and maintenance personnel through the establishment of a fault prediction model and manual feedback in actual work of fault prediction to obtain a fault prediction model with higher accuracy rate, and settling the fault prediction model to obtain a fault judgment model with more accurate multi-dimensional data description fault;
configuration and management of an experience tag library: after a data judgment model which describes faults more accurately is obtained, fault description character configuration is carried out manually aiming at each index, data is converted into language description, and a fault processing experience label library is established;
accurate pushing of experience labels of actual scenes during fault handling: the method comprises the steps of pushing experience labels recommended by a computer to operation and maintenance personnel through a mobile phone APP, collecting supplement and identification data of the operation and maintenance personnel on the experience labels, calculating the utility degree of the experience labels, and obtaining the high-utility experience label library of various fault types through data accumulation.
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Citations (6)
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CN107784456A (en) * | 2017-11-20 | 2018-03-09 | 深圳市亿联智能有限公司 | A kind of method of work order from turn knowledge base |
CN108090567A (en) * | 2018-01-19 | 2018-05-29 | 国家电网公司 | Power communication system method for diagnosing faults and device |
CN108154244A (en) * | 2018-01-24 | 2018-06-12 | 南京天溯自动化控制系统有限公司 | The O&M methods, devices and systems of real estate power equipment |
CN109034470A (en) * | 2018-07-18 | 2018-12-18 | 国网冀北电力有限公司信息通信分公司 | A kind of power communication scene O&M failure prediction method |
CN109325601A (en) * | 2018-08-21 | 2019-02-12 | 国网江苏省电力有限公司泰州供电分公司 | Logistics equipment malfunction monitoring operation management method |
CN110378492A (en) * | 2019-05-28 | 2019-10-25 | 长春电力设计有限公司 | A method of reinforcing the control of distribution net equipment O&M |
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- 2020-02-27 CN CN202010125860.3A patent/CN111242328A/en active Pending
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
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CN107784456A (en) * | 2017-11-20 | 2018-03-09 | 深圳市亿联智能有限公司 | A kind of method of work order from turn knowledge base |
CN108090567A (en) * | 2018-01-19 | 2018-05-29 | 国家电网公司 | Power communication system method for diagnosing faults and device |
CN108154244A (en) * | 2018-01-24 | 2018-06-12 | 南京天溯自动化控制系统有限公司 | The O&M methods, devices and systems of real estate power equipment |
CN109034470A (en) * | 2018-07-18 | 2018-12-18 | 国网冀北电力有限公司信息通信分公司 | A kind of power communication scene O&M failure prediction method |
CN109325601A (en) * | 2018-08-21 | 2019-02-12 | 国网江苏省电力有限公司泰州供电分公司 | Logistics equipment malfunction monitoring operation management method |
CN110378492A (en) * | 2019-05-28 | 2019-10-25 | 长春电力设计有限公司 | A method of reinforcing the control of distribution net equipment O&M |
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