CN110988559A - Online monitoring method for full life cycle of transformer substation direct current system based on Internet of things - Google Patents

Online monitoring method for full life cycle of transformer substation direct current system based on Internet of things Download PDF

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CN110988559A
CN110988559A CN201911330216.3A CN201911330216A CN110988559A CN 110988559 A CN110988559 A CN 110988559A CN 201911330216 A CN201911330216 A CN 201911330216A CN 110988559 A CN110988559 A CN 110988559A
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direct current
current system
internet
things
life cycle
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何梦蜀
徐坚
范朋
吴昊
刘鹏
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State Grid Corp of China SGCC
Xianning Power Supply Co of State Grid Hubei Electric Power Co Ltd
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State Grid Corp of China SGCC
Xianning Power Supply Co of State Grid Hubei Electric Power Co Ltd
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    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere

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Abstract

The invention discloses an online monitoring method for the full life cycle of a transformer substation direct current system based on the Internet of things, which comprises the following steps: the system comprises a training data input interface, a monitoring data input interface, a data preprocessing module, an analysis equipment state model, an operation state library, a regression prediction module, an early warning module and early warning information, and further comprises a layered system framework, wherein the system framework comprises an application layer, a network layer, a physical layer and a sensing layer, and the application layer comprises a transformer substation direct current system and an online monitoring and diagnosing system with a full life cycle. According to the invention, the system state can be comprehensively judged through historical data analysis, the system state is more accurate, the transformer substation direct current system is subjected to full-cycle management, the operation condition and the processing method of equipment are comprehensively mastered, a platform for online monitoring and diagnosis of the transformer substation direct current system in the full life cycle is established, and the working efficiency is improved.

Description

Online monitoring method for full life cycle of transformer substation direct current system based on Internet of things
Technical Field
The invention relates to the technical field of online monitoring, in particular to an online monitoring method for the full life cycle of a transformer substation direct current system based on the Internet of things.
Background
With the rapid development of power systems, there will be more and more unattended substations throughout the country. The transformer substations are scattered and inconvenient to maintain, so that normal inspection of a transformer substation system cannot be guaranteed, in order to realize the change of the maintenance state of the transformer substation direct current system, the problem of researching and developing automation of the transformer substation direct current system becomes a topic concerned by people in China, and online system detection is one of detection technologies which are produced and developed rapidly under the background.
At present, a monitoring center can only obtain a small amount of signals to be uploaded for a direct current system part, the direct current system is usually comprehensively modified after a large number of problems of large size and small size are accumulated, the reliability is very low, a plurality of stations only realize the breakdown of the direct current system when a power failure accident of a total station occurs, direct current system equipment is gradually developed towards the direction of automation, systematization and integration, but the traditional maintenance means of operation and inspection personnel are difficult to comprehensively judge and process the state of the direct current system in time, the maintenance work of the direct current system is difficult to take care of the whole period along with the increasing of the number of transformer substations and the shortage of operation and maintenance personnel, the maintenance difficulty is increased due to the fact information loss of the existing direct current system, the maintenance period for a single storage battery or a charger is long and low in efficiency, and the requirements of people cannot be met.
Disclosure of Invention
The invention aims to solve the defects in the prior art, and provides an online monitoring method for the whole life cycle of a transformer substation direct current system based on the Internet of things.
In order to achieve the purpose, the invention adopts the following technical scheme:
the online monitoring method for the full life cycle of the transformer substation direct current system based on the Internet of things comprises the following steps:
s1: collecting historical data and monitoring data, comprehensively judging the system state through historical data analysis, and monitoring the operating parameters of the direct current system and the working condition of actual equipment;
s2: respectively introducing the collected historical data and the collected monitoring data into a training data input interface and a monitoring data input interface;
s3: various data are input into a data preprocessing module for preprocessing, and system interconnection is realized by utilizing the Internet of things;
s4: analyzing an equipment state model, automatically processing partial abnormal conditions of the direct current system through a result of processing input data, judging the running state of the direct current system according to field running parameters, and performing corresponding regulation control;
s5: the running state library is used for running and debugging the existing state;
s6: regression prediction is carried out, the direct current system of the transformer substation is managed in a full period, and the operation condition of the equipment is comprehensively mastered;
s7: the early warning module is used for early warning in time when an abnormal condition occurs in the running state and reminding workers of overhauling;
s8: and early warning information is issued through an online monitoring and diagnosing platform of the whole life cycle of the transformer substation direct current system.
As a further scheme of the invention: the system further comprises a layered system framework, wherein the system framework comprises an application layer, a network layer, a physical layer and a sensing layer, and the application layer comprises a transformer substation direct-current system and a full-life-cycle online monitoring and diagnosing system.
As a further scheme of the invention: the network layer comprises a CAN bus, a 485 bus, Bluetooth, WiFi, zigbee, RFID, GPRS and a Web server, a PC end of a management platform adopts an advanced B/S architecture, a mobile phone end adopts an application program developed based on Android/ios, and a system consisting of remote management terminals, sensors and embedded equipment is distributed in each station and a management responsible unit to form an Internet of things system suitable for a traditional station or an intelligent station, so long as a network exists, the management platform CAN be logged in, professional information such as remote monitoring, accident early warning and fault diagnosis is provided for operation and maintenance personnel, a set of efficient equipment operation and maintenance management system is established for a transformer substation direct current system, the system is kept smooth in the signal transmission communication process, an optimal network transmission mode is formulated and selected according to the field environment, and the stability of network equipment and the efficiency of network programming are ensured, the early warning module comprises an alarm lamp, and the alarm lamp is controlled to send out an alarm signal through the controller when a fault is detected.
As a further scheme of the invention: the physical layer comprises a Linux operating system, an ARM microprocessor and an industrial control screen.
As a further scheme of the invention: the sensing layer comprises battery detection, charging equipment detection, bus detection, insulation detection and load detection.
As a further scheme of the invention: the multi-sensor information fusion technology in the sensing layer needs to be combined with control theory, signal processing, artificial intelligence, probability and statistics, so that various complex data can be coupled to judge the operation state of an operator correctly and efficiently, the outer wall of the bus is cleaned and checked firstly when the bus is detected, and the bus is prevented from being interfered by the detection of cracks and the like.
As a further scheme of the invention: in the step S3, the data algorithm is combined with the field environment during calculation, so as to avoid misdiagnosis caused by different field environments.
As a further scheme of the invention: in S5, CPU and memory occupancy rates need to be reduced to ensure normal operation of the software.
The invention has the beneficial effects that:
1. the system can monitor the running parameters of the direct current system and the working conditions of actual equipment, can automatically process partial abnormal conditions of the direct current system, judges the running state of the direct current system according to the running parameters on site, and carries out corresponding regulation control.
2. The system records the whole operation condition from the initial stage of the direct current system commissioning, accurately records the voltage with abnormal operation and equipment, performs classified management on defect hidden dangers, records the information for processing the artificial defects, realizes equipment monitoring, early warning and maintenance by utilizing the function of remote warning and hidden danger reporting, quickly sends fault equipment maintenance information, shortens the equipment maintenance process, improves the maintenance efficiency, realizes the flow of the direct current system equipment online monitoring platform, can automatically analyze massive historical data by a powerful data processing background, excavates rich early warning knowledge, obtains an operation library of the equipment operation state, obtains a real-time predicted value of the equipment operation state by utilizing a regression method for real-time online monitoring data, and then realizes equipment monitoring and early warning by utilizing related warning rules.
3. The management platform PC end adopts an advanced B/S architecture, the mobile phone end adopts an application program developed based on Android/ios, systems composed of the remote management terminal, the sensor and the embedded equipment are distributed in each station and a management responsible unit to form a set of Internet of things system suitable for traditional stations or intelligent stations, and the management platform can be logged in as long as a network exists, so that professional information such as remote monitoring, accident early warning and fault diagnosis is provided for operation and maintenance personnel, a set of efficient equipment operation and maintenance management system is established for a transformer substation direct current system, and the working efficiency of the device is improved.
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Fig. 1 is a flow chart of an online monitoring method for a full life cycle of a transformer substation direct current system based on the internet of things, which is provided by the invention;
fig. 2 is a system architecture diagram of the online monitoring method for the full life cycle of the transformer substation direct current system based on the internet of things.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments.
Example 1
Referring to fig. 1-2, the online monitoring method for the full life cycle of the transformer substation direct current system based on the internet of things comprises the following steps:
s1: collecting historical data and monitoring data, comprehensively judging the system state through historical data analysis, and monitoring the operating parameters of the direct current system and the working condition of actual equipment;
s2: respectively introducing the collected historical data and the collected monitoring data into a training data input interface and a monitoring data input interface;
s3: various data are input into a data preprocessing module for preprocessing, and system interconnection is realized by utilizing the Internet of things;
s4: analyzing an equipment state model, automatically processing partial abnormal conditions of the direct current system through a result of processing input data, judging the running state of the direct current system according to field running parameters, and performing corresponding regulation control;
s5: the running state library is used for running and debugging the existing state;
s6: regression prediction is carried out, the direct current system of the transformer substation is managed in a full period, and the operation condition of the equipment is comprehensively mastered;
s7: the early warning module is used for early warning in time when an abnormal condition occurs in the running state and reminding workers of overhauling;
s8: and early warning information is issued through an online monitoring and diagnosing platform of the whole life cycle of the transformer substation direct current system.
The invention also comprises a layered system framework, the system framework comprises an application layer, a network layer, a physical layer and a sensing layer, the application layer comprises a transformer substation direct current system and a full-life-cycle online monitoring and diagnosis system, the network layer comprises a CAN bus, a 485 bus, Bluetooth, WiFi, zigbee, RFID, GPRS and a Web server, the PC end of the management platform adopts an advanced B/S framework, the mobile phone end adopts an application program developed based on Android/ios, and the system consisting of the remote management terminals, the sensors and the embedded devices is distributed in each station and a management responsible unit to form an Internet of things system suitable for the traditional station or the intelligent station, so that the management platform CAN be logged in to provide professional information of remote monitoring, accident early warning, fault diagnosis and the like for operation and maintenance personnel as long as the network exists, thereby establishing a set of efficient device operation and maintenance management system for the transformer substation direct current system, the entity layer comprises a Linux operating system, an ARM microprocessor and an industrial control screen, the communication process is kept smooth in signal transmission, the optimal network transmission mode is formulated and selected according to the field environment, the stability of network equipment and the high efficiency of network programming are ensured, the signals of an alternating current power supply, a direct current power supply, a UPS power supply and a communication power supply lamp are transmitted to a communication base station through a wireless network through field monitoring during transmission, then the communication base station transmits the signals to a data server through a communication server, a remote monitoring center monitors the signals, and then the signals are served through a Web server and transmitted to a mobile phone APP client, a computer client and the like for people to carry out remote monitoring.
The system records the whole operation condition from the initial stage of the direct current system operation, accurately records the abnormal operation voltage and equipment, classifies and manages the defect hidden danger, records the information of artificial defect processing, realizes the monitoring, early warning and maintenance of the equipment by utilizing the function of remote warning and hidden danger, for example, sends a nuclear capacity experiment forecast to a mobile phone on duty for overhauling, sends the maintenance information of the fault equipment to the post-sale personnel of a manufacturer, shortens the maintenance process of the equipment, combines the field environment during the calculation of a data algorithm in S3, avoid the misdiagnosis caused by different field environments.
Example 2
Referring to fig. 1-2, the online monitoring method for the full life cycle of the transformer substation direct current system based on the internet of things comprises the following steps:
s1: collecting historical data and monitoring data, comprehensively judging the system state through historical data analysis, and monitoring the operating parameters of the direct current system and the working condition of actual equipment;
s2: respectively introducing the collected historical data and the collected monitoring data into a training data input interface and a monitoring data input interface;
s3: various data are input into a data preprocessing module for preprocessing, and system interconnection is realized by utilizing the Internet of things;
s4: analyzing an equipment state model, automatically processing partial abnormal conditions of the direct current system through a result of processing input data, judging the running state of the direct current system according to field running parameters, and performing corresponding regulation control;
s5: the running state library is used for running and debugging the existing state;
s6: regression prediction is carried out, the direct current system of the transformer substation is managed in a full period, and the operation condition of the equipment is comprehensively mastered;
s7: the early warning module is used for early warning in time when an abnormal condition occurs in the running state and reminding workers of overhauling;
s8: and early warning information is issued through an online monitoring and diagnosing platform of the whole life cycle of the transformer substation direct current system.
The invention also comprises a layered system framework, the system framework comprises an application layer, a network layer, a physical layer and a sensing layer, the application layer comprises a transformer substation direct current system and a full-life-cycle online monitoring and diagnosis system, the network layer comprises a CAN bus, a 485 bus, Bluetooth, WiFi, zigbee, RFID, GPRS and a Web server, the PC end of the management platform adopts an advanced B/S framework, the mobile phone end adopts an application program developed based on Android/ios, and the system consisting of the remote management terminals, the sensors and the embedded devices is distributed in each station and a management responsible unit to form an Internet of things system suitable for the traditional station or the intelligent station, so that the management platform CAN be logged in to provide professional information of remote monitoring, accident early warning, fault diagnosis and the like for operation and maintenance personnel as long as the network exists, thereby establishing a set of efficient device operation and maintenance management system for the transformer substation direct current system, keep unblocked in signal transmission communication process, the signal passes through ARM microprocessor processing signal, show the signal through industry control screen, then make the most ideal network transmission mode of selection according to the site environment, guarantee network equipment's stability and the high efficiency of network programming, pass through on-the-spot control when transmitting, alternating current power supply, direct current power supply, the signal of UPS power and communication power lamp passes through wireless network transmission and gives the communication base station, then communication base station passes through communication server and gives the signal transmission to data server, the remote monitoring center monitors, then serve through Web server, transmit to cell-phone APP client, computer client etc. supplies people to carry out remote monitoring.
The system records the whole operation condition from the initial stage of the direct current system operation, accurately records the abnormal operation voltage and equipment, classifies and manages the defect hidden danger, records the information of artificial defect processing, realizes the monitoring, early warning and maintenance of the equipment by utilizing the function of remote warning and hidden danger, for example, sends a nuclear capacity experiment forecast to a mobile phone on duty for overhauling, sends the maintenance information of the fault equipment to the post-sale personnel of a manufacturer, shortens the maintenance process of the equipment, combines the field environment during the calculation of a data algorithm in S3, the method has the advantages that misdiagnosis caused by different field environments is avoided, an expert system and a self-learning mode are established, the growth of the algorithm is guaranteed, the algorithm becomes an intelligent system with old experience, the occupancy rates of a CPU and a memory are required to be reduced in S5, the real-time performance of the system is improved, and smooth operation on a low-configuration computer is guaranteed.
Example 3
Referring to fig. 1-2, the online monitoring method for the full life cycle of the transformer substation direct current system based on the internet of things comprises the following steps:
s1: historical data and monitoring data are collected, the system state is comprehensively judged through historical data analysis, the running parameters of the direct current system and the working conditions of actual equipment are monitored, and symptomatic medicine administration is realized.
S2: and respectively introducing the collected historical data and the collected monitoring data into a training data input interface and a monitoring data input interface.
S3: various data are input into a data preprocessing module for preprocessing, and the Internet of things is utilized to realize system interconnection and assist the smart grid.
S4: and the analysis equipment state model can automatically process partial abnormal conditions of the direct current system, judge the running state of the direct current system according to the running parameters on site and carry out corresponding regulation control.
S5: and running the state library.
S6: and (4) regression prediction, which is used for carrying out full-period management on the direct current system of the transformer substation, and comprehensively mastering the operation condition and the processing method of the equipment.
S7: the early warning module comprises a controller, and the controller is used for controlling the alarm.
S8: and early warning information establishes a platform for online monitoring and diagnosis of the whole life cycle of the direct current system of the transformer substation.
The invention also comprises a layered system framework, the system framework comprises an application layer, a network layer, a physical layer and a sensing layer, the application layer comprises a transformer substation direct current system and a full-life-cycle online monitoring and diagnosis system, the network layer comprises a CAN bus, a 485 bus, Bluetooth, WiFi, zigbee, RFID, GPRS and a Web server, the PC end of the management platform adopts an advanced B/S framework, the mobile phone end adopts an application program developed based on Android/ios, and the system consisting of the remote management terminals, the sensors and the embedded devices is distributed in each station and a management responsible unit to form an Internet of things system suitable for the traditional station or the intelligent station, so that the management platform CAN be logged in to provide professional information of remote monitoring, accident early warning, fault diagnosis and the like for operation and maintenance personnel as long as the network exists, thereby establishing a set of efficient device operation and maintenance management system for the transformer substation direct current system, the entity layer comprises a Linux operating system, an ARM microprocessor and an industrial control screen, the communication process is kept smooth in signal transmission, the most ideal network transmission mode is formulated and selected according to the field environment, the stability of network equipment and the high efficiency of network programming are ensured, the early warning module comprises an alarm lamp, the alarm lamp is controlled to send out an alarm signal through a controller when a fault is detected, the communication base station transmits signals of an alternating current power supply, a direct current power supply and a communication power supply lamp to a communication base station through a wireless network, the communication base station transmits the signals to a data server through a communication server, a remote monitoring center monitors the signals, the signals are served through a Web server and transmitted to a mobile phone APP client side, and people such as a computer client side carry out remote monitoring.
The sensing layer comprises battery detection, charging equipment detection, bus detection, insulation detection and load detection, a multi-sensor information fusion technology in the sensing layer is combined with a control theory, signal processing, artificial intelligence, probability and statistics, so that various complex data can be coupled to accurately and efficiently judge the operation state of an operator, the outer wall of a bus is cleaned and checked firstly during bus detection, the interference on bus detection caused by cracks and the like is prevented, the system records the whole operation condition from the initial stage of the direct current system operation, accurately records the voltage with abnormal operation and equipment, performs defect hidden danger classification management, records the information about artificial defect processing, and then realizes equipment monitoring, early warning and maintenance by utilizing a remote alarm hidden danger function, for example, a nuclear capacity experiment forecast is sent to a mobile phone on duty for maintenance, and fault equipment maintenance information is sent to the personnel after the manufacturer, the maintenance process of the equipment is shortened, the data algorithm is combined with the field environment during calculation in S3, misdiagnosis caused by different field environments is avoided, an expert system and a self-learning mode are established, the growth of the algorithm is guaranteed, the algorithm becomes an intelligent system with old experience, the occupancy rates of a CPU and a memory are reduced in S5, the real-time performance of the system is improved, and smooth operation on a low-configuration computer is guaranteed.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered to be within the technical scope of the present invention, and the technical solutions and the inventive concepts thereof according to the present invention should be equivalent or changed within the scope of the present invention.

Claims (8)

1. The online monitoring method for the full life cycle of the transformer substation direct current system based on the Internet of things comprises the following steps:
s1: collecting historical data and monitoring data, comprehensively judging the system state through historical data analysis, and monitoring the operating parameters of the direct current system and the working condition of actual equipment;
s2: respectively introducing the collected historical data and the collected monitoring data into a training data input interface and a monitoring data input interface;
s3: various data are input into a data preprocessing module for preprocessing, and system interconnection is realized by utilizing the Internet of things;
s4: analyzing an equipment state model, automatically processing partial abnormal conditions of the direct current system through a result of processing input data, judging the running state of the direct current system according to field running parameters, and performing corresponding regulation control;
s5: the running state library is used for running and debugging the existing state;
s6: regression prediction is carried out, the direct current system of the transformer substation is managed in a full period, and the operation condition of the equipment is comprehensively mastered;
s7: the early warning module is used for early warning in time when an abnormal condition occurs in the running state and reminding workers of overhauling;
s8: and early warning information is issued through an online monitoring and diagnosing platform of the whole life cycle of the transformer substation direct current system.
2. The method for online monitoring of the full life cycle of the substation direct current system based on the internet of things according to claim 1, further comprising a layered system architecture, wherein the system architecture comprises an application layer, a network layer, a physical layer and a sensing layer, and the application layer comprises the substation direct current system and the full life cycle online monitoring and diagnosis system.
3. The method for on-line monitoring of the whole life cycle of the substation direct current system based on the internet of things according to claim 2, wherein the network layer comprises a CAN bus, a 485 bus, Bluetooth, WiFi, zigbee, RFID, GPRS and a Web server, the PC end of the management and management platform adopts an advanced B/S architecture, the mobile phone end adopts an application program developed based on Android/ios, and the system consisting of the remote management terminals, the sensors and the embedded devices is distributed in each station and a management responsible unit to form an internet of things system suitable for a traditional station or an intelligent station, and the management platform CAN be logged in as long as the network is available to provide professional information such as remote monitoring, accident early warning and fault diagnosis for operation and maintenance personnel, so that a set of efficient device operation and maintenance management system is established for the substation direct current system and the substation direct current system is kept unblocked in the signal transmission and communication process, the optimal network transmission mode is formulated and selected according to the field environment, the stability of network equipment and the high efficiency of network programming are ensured, the early warning module comprises an alarm lamp, and the alarm lamp is controlled to send out an alarm signal through the controller when a fault is detected.
4. The internet of things-based online monitoring method for the full life cycle of the substation direct current system according to claim 2, wherein the physical layer comprises a Linux operating system, an ARM microprocessor and an industrial control screen.
5. The internet of things-based substation direct current system full-life-cycle online monitoring method according to claim 2, wherein the sensing layer comprises battery detection, charging equipment detection, bus detection, insulation detection and load detection.
6. The Internet of things-based online monitoring method for the full life cycle of the substation direct current system according to claim 5, wherein a multi-sensor information fusion technology in the sensing layer needs to be combined with a control theory, signal processing, artificial intelligence, probability and statistics, so that various complex data can be coupled to correctly and efficiently judge the operation state of an operator, the outer wall of a bus is cleaned and checked firstly during bus detection, and the interference of cracks and the like on the bus detection is prevented.
7. The Internet of things-based online monitoring method for the full life cycle of the substation direct current system according to claim 1, wherein in the step S3, a field environment is combined during calculation of the data algorithm, so that misdiagnosis caused by different field environments is avoided, a special system is established, and the growth of the algorithm is ensured.
8. The Internet of things-based online monitoring method for the full life cycle of the substation direct current system according to claim 1, wherein in the step S5, the occupancy rates of a CPU and a memory need to be reduced to ensure the normal operation of software.
CN201911330216.3A 2019-12-20 2019-12-20 Online monitoring method for full life cycle of transformer substation direct current system based on Internet of things Pending CN110988559A (en)

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CN111581850B (en) * 2020-05-27 2022-10-28 北京理工大学 Full-period power battery management system applying digital twinning technology
CN112039210A (en) * 2020-09-07 2020-12-04 王飞 High-voltage equipment fault early warning system based on remote control
CN112232531A (en) * 2020-09-15 2021-01-15 中国第一汽车股份有限公司 Predictive maintenance system and maintenance method for automobile test equipment based on equipment internet of things
CN112526250A (en) * 2020-10-13 2021-03-19 国网山东省电力公司莘县供电公司 Direct current system state integrated monitoring system
CN113159475A (en) * 2020-12-04 2021-07-23 中国国家铁路集团有限公司 Infrastructure full life cycle monitoring platform and method
CN113159475B (en) * 2020-12-04 2024-03-15 中国国家铁路集团有限公司 Infrastructure full life cycle monitoring platform and method
CN112348419A (en) * 2021-01-05 2021-02-09 光谷技术有限公司 Internet of things processing system and method
CN112348419B (en) * 2021-01-05 2021-04-02 光谷技术有限公司 Internet of things processing system and method
CN114857067A (en) * 2022-05-20 2022-08-05 北京一诺先科装备技术有限公司 Full life cycle monitoring and management method and system for large-scale turbine compressor
CN114857067B (en) * 2022-05-20 2023-08-11 北京一诺先科装备技术有限公司 Full life cycle monitoring and management method and system for large turbine compressor
CN115693916A (en) * 2022-09-07 2023-02-03 国网安徽省电力有限公司宿州供电公司 Intelligent online monitoring method and system for direct-current power supply of transformer substation

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