CN114816934A - Intelligent generation method and system of equipment supervision early-warning code based on physical ID - Google Patents
Intelligent generation method and system of equipment supervision early-warning code based on physical ID Download PDFInfo
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- CN114816934A CN114816934A CN202210591155.1A CN202210591155A CN114816934A CN 114816934 A CN114816934 A CN 114816934A CN 202210591155 A CN202210591155 A CN 202210591155A CN 114816934 A CN114816934 A CN 114816934A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/3003—Monitoring arrangements specially adapted to the computing system or computing system component being monitored
- G06F11/3006—Monitoring arrangements specially adapted to the computing system or computing system component being monitored where the computing system is distributed, e.g. networked systems, clusters, multiprocessor systems
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/32—Monitoring with visual or acoustical indication of the functioning of the machine
- G06F11/324—Display of status information
- G06F11/327—Alarm or error message display
Abstract
The invention discloses an intelligent generation method and system of an equipment supervision early warning code based on a physical ID, wherein the method is realized in a system consisting of a central processing unit and a server of a communication network, and the key is as follows: the system comprises: at least one grid device having a unique identity ID; the server is provided with a special data storage unit for storing the data information of the power grid equipment and an early warning code updating unit, and the identity ID of each power grid equipment has a one-to-one mapping relation with the special data storage unit and the early warning code updating unit; the early warning code generation method comprises the following steps of: the dynamic monitoring unit monitors the power grid equipment data information in the special data storage unit in real time and transmits the power grid equipment data information to the central processing unit, and the central processing unit generates an early warning code and stores the early warning code in the early warning code updating unit after comparing the power grid equipment data information with a stored data threshold value.
Description
Technical Field
The invention belongs to the technical field of power grid equipment supervision, and relates to an intelligent generation method and system of an equipment supervision early warning code based on a physical ID.
Background
With the continuous development of power grids in China, the tasks of operation, maintenance, updating and reconstruction of the power grids are heavier and heavier. The power grid has huge asset value and quantity scale, and the traditional extensive type power equipment asset management mode has certain defects, and the management concept needs to be changed, the asset management mode needs to be innovated, and the management strategy needs to be optimized. The quality of the power grid equipment directly influences the safety production of the power grid. The high-quality equipment has important significance for reducing the operation and maintenance cost and the equipment maintenance cost of the power grid enterprise. With the popularization and application of physical asset management technology, power grid enterprises gradually realize that parameter association mining can be performed on mass equipment operation and maintenance data accumulated in the long year through data mining technology, wherein the data comprises equipment states, defects, faults, overhaul and the like, brand new equipment operation and maintenance management experiences are quantitatively summarized, and management support is provided for each stage of equipment whole-life management. The method also enables the power grid enterprise to propose a completely new parameter index aiming at the equipment quality by the equipment user identity.
In a power grid enterprise, the development of the power grid enterprise can be promoted by implementing full-life-cycle management on the owned assets, and the situation that the normal operation of the enterprise is hindered due to capital problems is prevented. The asset overall process management refers to the overall consideration of all links of asset, such as planning, designing, purchasing, constructing, operating, repairing, technical reform and scrapping, and strives to compress the asset life cycle cost, increase income and improve the professional management capacity on the basis of high efficiency, safety and income guarantee. The unified identity of the physical assets of the power grid, also called physical 'ID', refers to that the physical assets of the power grid enterprise are permanently numbered to represent the identity of the physical assets. The construction of the power grid entity ID can break through the traditional management boundary of each specialty and promote business cooperation and data sharing. According to the method, an identity code is given to the front end of asset formation according to the asset formation track of the power enterprise, the unified identity is managed throughout the whole asset life cycle, and the whole process management of the power grid physical asset is further enhanced.
By defining post responsibility, refining flow standard, implementing system criterion, strengthening risk control and improving examination system, refining each department task, identifying each link risk and innovating process control mode, the purpose of effectively landing the power grid asset object ID work is realized, a service chain and a data chain in planning design, material purchasing, engineering construction, operation maintenance and decommissioning treatment stages are opened, the service flow is optimized and improved, and service cooperation is promoted. Meanwhile, the full-dimensional collection, the full-process tracking and the all-dimensional sharing of the asset life cycle information are taken as approaches, the enterprise-level asset management level is improved, and the asset decision accuracy, the power grid safety improvement, the management cost reduction and the management efficiency improvement are ensured.
The power grid asset entity ID is based on the technology of Internet of things, and carries out unified electronic coding on power grid important equipment assets, so that complete traceability of information, cross-system communication and full life cycle management of equipment are realized. A mobile Internet of things terminal developed by communication electronics realizes data acquisition of an electronic tag by means of Internet of things technologies such as intelligent sensing, image recognition and RFID, and realizes information data interaction and application management by accessing a power private network to a power service system master station, thereby comprehensively supporting construction of power grid asset life cycle management.
The electric power technology supervision is to supervise power generation and supply equipment in an electric power system from ten stages of planning, researching, engineering design, equipment purchase, equipment manufacture, equipment acceptance, equipment installation, equipment debugging, completion acceptance, operation and maintenance, overhaul and scrapping and the like, find supervision problems, perform closed-loop management on the problems, ensure high-quality operation of the electric power equipment, monitor and manage the operation condition of the electric power equipment, master the operation performance and change rules of the electric power equipment, guide production and feed back the operation performance and change rules to a design and manufacturing department so as to improve the product quality. However, the current technical supervision process cannot query and apply the full life cycle data of the equipment, and the historical condition of the equipment cannot be fully known.
The defects of the prior art are as follows:
(1) in the technical supervision process, the data of the whole life cycle of the equipment cannot be acquired;
(2) the whole life cycle data volume of the equipment is large, and the early warning state of the equipment cannot be quickly positioned.
Disclosure of Invention
In order to overcome the defects of the prior art and solve the technical problem that the early warning state of the equipment cannot be rapidly researched and judged by manpower due to large data volume of the whole life cycle of the equipment, the invention designs the intelligent generation method and the system of the equipment supervision early warning code based on the physical ID.
The invention adopts the technical scheme that an intelligent generation method of an equipment supervision early warning code based on a physical ID is realized in a system consisting of a central processing unit and a server of a communication network, and the key points are as follows: the system comprises:
at least one grid device having a unique identity ID;
the server is provided with a special data storage unit for storing the data information of the power grid equipment and an early warning code updating unit, and the identity ID of each power grid equipment has a one-to-one mapping relation with the special data storage unit and the early warning code updating unit;
also comprises a dynamic monitoring unit which is used for monitoring the dynamic state of the human body,
on the basis, the early warning code generation method comprises the following steps: the dynamic monitoring unit monitors the power grid equipment data information in the special data storage unit in real time and transmits the power grid equipment data information to the central processing unit, and the central processing unit generates an early warning code and stores the early warning code in the early warning code updating unit after comparing the power grid equipment data information with a stored data threshold value.
And the identity ID of the power grid equipment is displayed in a two-dimensional code mode.
The power grid equipment data information in the special data storage unit comprises engineering construction digital transfer information and equipment asset lean management information.
The engineering construction digital transfer information comprises equipment material monitoring data, delivery test records, material sampling tests and equipment installation defect data.
The equipment asset lean management information comprises handover test records, operation defect records, operation fault records, familial defects and operation inspection tour records.
The generated early warning codes adopt green, yellow and red colors to respectively display the warning information of the equipment.
The system also comprises a data reading device, and the data reading device acquires the power grid equipment data information and the early warning code in the server by reading the identity ID of the power grid equipment.
The data reading equipment adopts a bar code scanning gun or a mobile phone or handheld equipment with a two-dimensional code scanning function.
The invention also relates to an intelligent generation system of the equipment supervision early-warning code based on the physical ID, wherein the system comprises at least one power grid equipment with a unique ID; the server is provided with a special data storage unit for storing the data information of the power grid equipment and an early warning code updating unit, and the identity ID of each power grid equipment has a one-to-one mapping relation with the special data storage unit and the early warning code updating unit; also comprises a dynamic monitoring unit.
The system also comprises a data reading device.
The beneficial effect of the invention is that,
the data information of the power grid equipment stored in the special data storage unit in the server is compared with the threshold information in the central processing unit, so that the full-life-cycle data of the equipment based on the physical ID is automatically collected, the data information of each power grid equipment can be automatically generated into normal, attention and abnormal states, after all the data information is collected, whether the early warning code is normal, attention or abnormal can be automatically displayed, and the automatic early warning and monitoring of the full-life-cycle data of the equipment are realized. Meanwhile, the early warning code can be refreshed only after all data information is updated, historical data can be stored, and the historical data can be called while the early warning information is monitored in real time.
Detailed Description
For the electric power safety risk, companies have made a management and control working scheme and a special action plan for strengthening the electric power safety risk, and 51 key tasks are defined. In this year 1, the national energy agency issues a "notice on further enhancing the power safety risk management and control and the hidden danger investigation, administration and supervision work", and requires the upgrade management and supervision of major risks and hidden dangers. The company is emphasized in the meeting, and all units need to strictly implement the requirements of the industry competent departments and the company, actively fulfill the quarterly report system, accelerate the treatment of major hidden dangers and perform the risk control work firmly.
On the aspect of ensuring safe and stable operation of the power grid, a company starts with the three aspects of grabbing stable management of a main grid, strengthening operation management of the power grid, strengthening secondary management and power monitoring system management, strengthening stable management and operation control of the power grid, and comprehensively improving risk perception, abnormal management and control and emergency handling capacity.
Under the influence of economic pull and other factors, the load of the power grid is expected to keep higher increase in this year. The requirements of the company on 2021 year safe production work meetings need to be combined with the reality of the year, measures are taken as soon as possible, detailed measures are taken from four aspects of making load prediction analysis, strengthening power and electricity balance management and control, strengthening demand side management and strengthening important activity and electricity conservation, and various preparations for dealing with power balance contradictions are fully made.
The company is a heavy-asset enterprise, and the power grid equipment accounts for more than 80% of the total asset. The conference is clear, lean management of the equipment is required to be enhanced completely, and professional management quality and effect of the equipment are improved in four aspects of enhancing operation and maintenance guarantee of the equipment, overhauling management of the equipment, technical supervision and management and improving power supply guarantee capacity of a distribution network.
In the aspect of quality improvement, a company implements a quality strong network strategy, increases quality weight in links such as planning design, material purchase, construction and the like, and pushes equipment to step to the middle-high end; the technical leading is adhered to, the technical standard is perfected, the technical supervision of the whole process is strengthened, and the engineering equipment is strictly entered into the gateway.
In the aspect of benefit improvement, companies deepen asset life cycle management, promote Life Cycle Cost (LCC) analysis and application and realize production cost explicit management; the risk response of the 'asset wall' is strengthened, the factors such as equipment management safety, quality, cost and the like are planned, and the comprehensive optimal overhaul investment is realized; multiple coordination of market, plan, operation, maintenance and the like is enhanced, and the overall efficiency of power grid operation is improved.
In the aspect of efficiency improvement, companies push forward production organization change, innovate equipment operation and maintenance mode and efficiently organize production business; the application of the technology of 'moving the cloud object to the intelligent chain' is accelerated, the equipment monitoring means is perfected, the equipment monitoring intensity, the operation and maintenance management fineness and the team construction strength are improved, and the production organization performance and the whole-worker labor efficiency are further improved.
Meanwhile, according to the regulations in the electric power safety early warning management method, each power grid unit needs to master the safety condition in the electric power production activity in time, and the danger degree and the problems of stage, seedling, criticality and tendency of possible accidents or obstacles are reported through electric power safety early warning management, so that effective accident prevention measures are supervised and actively adopted, the dynamic management and closed-loop control of the production process are enhanced, the serious accidents of the power grid control, the major accidents of the power grid company and the casualty accidents of the power grid company are controlled, the major injuries and the common accidents of the primary enterprises are controlled, and the safe production target is ensured to be realized.
In addition, the safety early warning is subjected to hierarchical and partition management, an early warning line is set, a power grid unit is required to establish an early warning mechanism which takes administrative and official personnel leadership and branch management production leadership as main bodies, and takes a safety supervision department, a production technology management department and a scheduling operation department as main bodies, so that an electric power safety early warning management organization system based on production enterprises, workshops and teams is formed.
Based on the management system, the invention relates to an intelligent generation method of an equipment supervision early warning code based on a real object ID, which is realized in a system consisting of a central processing unit and a server of a communication network, and has the key points that: the system comprises:
at least one grid device having a unique identity ID;
the server is provided with a special data storage unit for storing the data information of the power grid equipment and an early warning code updating unit, and the identity ID of each power grid equipment has a one-to-one mapping relation with the special data storage unit and the early warning code updating unit;
also comprises a dynamic monitoring unit which is used for monitoring the dynamic state of the human body,
on the basis, the early warning code generation method comprises the following steps: the dynamic monitoring unit monitors the power grid equipment data information in the special data storage unit in real time and transmits the power grid equipment data information to the central processing unit, and the central processing unit generates an early warning code and stores the early warning code in the early warning code updating unit after comparing the power grid equipment data information with a stored data threshold value.
And the identity ID of the power grid equipment is displayed in a two-dimensional code mode. The identity ID of each device is unique and is attached to the outer surface of the device, and technical supervisors can scan codes and inquire the codes through mobile phones or handheld intelligent devices before walking to the devices when using the device. By scanning the code, a technical supervisor can check the operation condition of the power equipment in a mobile phone or a handheld intelligent device, wherein the operation condition comprises ID information and operation data information of all equipment, and specifically comprises engineering construction digital transfer information and equipment asset lean management information. The engineering construction digital transfer information comprises equipment material monitoring data, delivery test records, material sampling tests and equipment installation defect data; the equipment asset lean management information comprises handover test records, operation test records, shipping and inspection defect records, shipping and inspection fault records, familial defects and shipping and inspection tour records.
Meanwhile, the generated early warning codes can be checked, and the early warning codes respectively display the warning information of the equipment in green, yellow and red.
The system also comprises a data reading device, and the data reading device acquires the power grid equipment data information and the early warning code in the server by reading the identity ID of the power grid equipment.
The data reading equipment adopts a bar code scanning gun or a mobile phone or handheld equipment with a two-dimensional code scanning function.
The invention also relates to an intelligent generation system of the equipment supervision early-warning code based on the physical ID, wherein the system comprises at least one power grid equipment with a unique ID; the server is provided with a special data storage unit for storing the data information of the power grid equipment and an early warning code updating unit, and the identity ID of each power grid equipment has a one-to-one mapping relation with the special data storage unit and the early warning code updating unit; also comprises a dynamic monitoring unit. The system also comprises a data reading device.
The system forms the basic condition for generating the early warning code, and combines a hardware system structure and management software in a central processing unit to realize the generation and data calling of the early warning code and realize the checking, browsing and studying and judging of technical supervisors of the operation terminal.
Specific examples are given below.
The invention provides an intelligent generation method of an equipment supervision early warning code based on a physical ID (identity). the physical ID is utilized to run through the full life cycle data of equipment to assist technical supervisors to quickly judge the historical operation condition of the equipment, wherein the full life cycle data comprises the following ten parts: the system comprises material monitoring and manufacturing data, delivery test records, material sampling inspection data, equipment installation defects, handover test records, operation test records, transportation inspection defect records, transportation inspection fault records, familial defects and transportation inspection tour records.
The method comprises the following concrete steps:
(1) associating and acquiring equipment material monitoring data, delivery test records, material sampling tests and equipment installation defect data in an engineering construction digital handover system through material object ID codes; associating and acquiring equipment handover test records, operation defect records, operation fault records, familial defects and operation inspection tour records in an equipment asset lean management system; thereby assembling the device full lifecycle data.
(2) Dividing each type of acquired data into three types of 'normal', 'attention' and 'abnormal', wherein 'normal' means that the conclusion or result of the acquired related data is qualified; "note" means that the acquired data contains fault or defect data within three months, but the fault or defect data is processed; "abnormal" means that the obtained data contains test data conclusion or result as disqualified, or contains fault or defect data, and the fault or defect data is not processed and deleted.
(3) After scanning the real object ID of the equipment, automatically generating an early warning code according to the full life cycle data of the equipment, wherein the generation logic of the early warning code is that when all the ten types of data are normal data, the early warning code is green and represents the early warning information of the equipment to be normal; if the ten types of data contain attention data, the early warning code is yellow to remind technical supervisors of the attention of the early warning information of the equipment; if the ten types of data contain abnormal data, the early warning code is red, and technical supervisors are warned that the equipment early warning information is abnormal, so that potential safety hazards exist, and technical supervision work needs to be performed in a key way.
Technical supervision APP is installed on an intranet encryption mobile terminal, an Internet of things sim card and an encryption TF card are installed, penetration of an internal network and an external network is achieved through a safety access platform, after a user logs in the technical supervision APP, the user scans a scanning function to scan a real object ID two-dimensional code of supervision field equipment, material technical parameters and basic information of primary outline equipment in a station are called, the ten types of data mentioned above are obtained from a data center and a PMS2.0 equipment lean management system at the same time, logic algorithm analysis and judgment are carried out, early warning states of the equipment are obtained, detailed information of the ten types of data of the equipment can be checked, and the fact that the data can be relied on is achieved, and supervision work is guided to be developed.
The specific process is as follows:
1. the integrated engineering construction digital transfer system and the ten types of data mentioned in the equipment asset lean management system are respectively associated through physical ID codes and serve as data bases for judging equipment early warning codes;
2. the method comprises the steps that pre-warning code judging logic is prefabricated, when ten types of data contain abnormal data and records which are not processed yet, warning codes are red, when the ten types of data contain the abnormal data and the records which are processed, the warning codes are yellow, and when the ten types of data are all normal, the warning codes are green;
3. and corresponding to the early warning code judgment logic, generating an equipment early warning code for each electrical equipment, so that the technical supervision responsibility can more intuitively check the equipment state.
The method and the system can help technical supervision departments to quickly and efficiently finish the detailed content check of the power equipment, and comprise the steps of calling the ten items of data of the equipment, such as material monitoring data, factory test records, material sampling inspection data, equipment installation defects, handover test records, operation inspection defect records, operation inspection fault records, familial defects, operation inspection tour records and the like, and knowing whether the equipment needs to pay attention or not or the equipment is abnormal when the equipment operates currently. The abnormity is not only an abnormal state when the equipment works, but also comprises data such as overhaul, sampling inspection, test record and the like, namely, timely overhaul or handover test is not carried out, and the abnormal state is also regarded as an abnormal state.
When the invention is implemented, the data threshold information of the central processing unit can be adjusted according to different devices, and the invention also comprises the adjustment of the logic for generating the judgment that the early warning code is normal, attention or abnormal. For example, some facilities do not have a monthly maintenance cycle, and therefore the threshold for the maintenance cycle may be set to 45 days. The method comprises the steps of processing high-dimensional information through multi-dimensional data of equipment by using a correlation analysis algorithm, excavating equipment state risk, carrying out quantitative index analysis, such as identification of key points in equipment faults and defects, and carrying out real-time monitoring, analysis and prediction on the running state of the equipment by using historical data and a new sample introduction book according to a construction mode of a special equipment state risk model. Through a collaborative filtering algorithm, equipment parameters are updated and corrected, abnormal state parameters of the equipment are timely and accurately eliminated and analyzed, and information such as a regional risk index map, a static risk index, risk index time sequence difference comparison and the like is displayed in real time through a visualization technology. Meanwhile, early warning is carried out on equipment with potential risks in time, and a report is generated according to the result.
According to the invention, automatic early warning based on the full-life-cycle data of the equipment is realized, and automatic collection of the full-life-cycle data of the equipment based on the physical ID is also realized. Meanwhile, the early warning code can be refreshed only after all data information is updated, historical data can be stored, and the historical data can be called while the early warning information is monitored in real time.
Claims (10)
1. An intelligent generation method of an equipment supervision early warning code based on a physical ID is realized in a system consisting of a central processing unit and a server of a communication network, and is characterized in that: the system comprises at least one power grid device with a unique identity ID; the server is provided with a special data storage unit for storing the data information of the power grid equipment and an early warning code updating unit, and the identity ID of each power grid equipment has a one-to-one mapping relation with the special data storage unit and the early warning code updating unit; also comprises a dynamic monitoring unit which is used for monitoring the dynamic state of the human body,
on the basis, the early warning code generation method comprises the following steps: the dynamic monitoring unit monitors the power grid equipment data information in the special data storage unit in real time and transmits the power grid equipment data information to the central processing unit, and the central processing unit compares the power grid equipment data information with a stored data threshold value to generate an early warning code and stores the early warning code in the early warning code updating unit.
2. The intelligent generation method of the equipment supervision early-warning code based on the physical ID according to claim 1, characterized in that: and the identity ID of the power grid equipment is displayed in a two-dimensional code mode.
3. The intelligent generation method of the equipment supervision early-warning code based on the physical ID according to claim 1, characterized in that: the power grid equipment data information in the special data storage unit comprises engineering construction digital transfer information and equipment asset lean management information.
4. The intelligent generation method of the device supervision early-warning code based on the physical ID according to claim 3, characterized in that: the engineering construction digital transfer information comprises equipment material monitoring data, delivery test records, material sampling tests and equipment installation defect data.
5. The intelligent generation method of the equipment supervision early-warning code based on the physical ID as claimed in claim 3, characterized in that: the equipment asset lean management information comprises handover test records, operation defect records, operation fault records, familial defects and operation inspection tour records.
6. The intelligent generation method of the equipment supervision early-warning code based on the physical ID according to claim 1, characterized in that: the generated early warning codes adopt green, yellow and red colors to respectively display the warning information of the equipment.
7. The intelligent generation method of the equipment supervision early-warning code based on the physical ID according to claim 1, characterized in that: the system also comprises a data reading device, and the data reading device acquires the power grid equipment data information and the early warning code in the server by reading the identity ID of the power grid equipment.
8. The intelligent generation method of the device supervision early-warning code based on the physical ID according to claim 7, characterized in that: the data reading equipment adopts a bar code scanning gun or a mobile phone or handheld equipment with a two-dimensional code scanning function.
9. The system of claim 1, wherein: the system comprises at least one power grid device with a unique identity ID; the server is provided with a special data storage unit for storing the data information of the power grid equipment and an early warning code updating unit, and the identity ID of each power grid equipment has a one-to-one mapping relation with the special data storage unit and the early warning code updating unit; also comprises a dynamic monitoring unit.
10. The system of claim 9, wherein: the system also includes a data reading device.
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| CN202210591155.1A CN114816934A (en) | 2022-05-27 | 2022-05-27 | Intelligent generation method and system of equipment supervision early-warning code based on physical ID |
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| CN202210591155.1A CN114816934A (en) | 2022-05-27 | 2022-05-27 | Intelligent generation method and system of equipment supervision early-warning code based on physical ID |
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