CN114354166A - Intelligent high-voltage circuit breaker energy storage spring online monitoring method and system - Google Patents
Intelligent high-voltage circuit breaker energy storage spring online monitoring method and system Download PDFInfo
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- CN114354166A CN114354166A CN202111664504.XA CN202111664504A CN114354166A CN 114354166 A CN114354166 A CN 114354166A CN 202111664504 A CN202111664504 A CN 202111664504A CN 114354166 A CN114354166 A CN 114354166A
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Abstract
The invention relates to an intelligent online monitoring method and system for an energy storage spring of a high-voltage circuit breaker, belonging to the technical field of high-voltage circuit breaker overhaul and maintenance; the method comprises the following steps: step S1, monitoring pressure data, action time and speed of the energy storage spring and the breaker by a terminal sensor, and uploading the pressure data, the action time and the speed to an intelligent operation and inspection platform in real time; step S2, the intelligent transportation and inspection platform collects real-time pressure data, action time and speed uploaded by a terminal sensor, records historical data and forms a database together with factory test data of the circuit breaker; s3, judging whether the energy storage spring of the circuit breaker is abnormal or not through an artificial intelligent diagnosis algorithm, and if so, sending an alarm signal and carrying out intervention judgment by a maintainer; the system comprises a terminal sensor and an intelligent monitoring platform, wherein the terminal sensor and the intelligent monitoring platform are used for monitoring by the intelligent high-voltage circuit breaker energy storage spring online monitoring method; the performance and the strength of the energy storage spring can be monitored in real time, and early warning can be timely realized.
Description
Technical Field
The invention relates to an intelligent online monitoring method and system for an energy storage spring of a high-voltage circuit breaker, and belongs to the technical field of overhaul and maintenance of high-voltage circuit breakers.
Background
The circuit breakers in the transformer substation use spring energy storage as a power operating mechanism in a large scale, particularly the GIS equipment is widely used, the spring energy storage mechanism of the circuit breaker occupies a leading position, more than 90% of the current operating high-voltage circuit breakers are spring energy storage mechanisms, and the strength and the service life of an energy storage spring have important influences on the stability and the safety of the operation of the circuit breaker, so that the stability and the safety of the operation of a power grid are influenced. Along with the increase of the operation period of the equipment and the increase of the action times of the circuit breaker, the energy storage spring starts to gradually enter a fatigue period, and in practical application, the phenomenon that partial springs are insufficient in pressure is found, so that the opening and closing speed and time of the circuit breaker are reduced, the relevant test standards are not met, and hidden dangers are brought to the safe and stable operation of a power grid. Therefore, it is particularly necessary to develop a system capable of monitoring the performance and strength of the energy storage spring in real time and giving an early warning in time.
Disclosure of Invention
The technical problem to be solved by the invention is as follows: the method and the system can monitor the performance and the strength of the energy storage spring in real time and can give an early warning in time.
The invention discloses an online monitoring method of an energy storage spring of an intelligent high-voltage circuit breaker, which comprises the following steps:
step S1, monitoring pressure data, action time and speed of the energy storage spring and the breaker by a terminal sensor, and uploading the pressure data, the action time and the speed to an intelligent operation and inspection platform in real time;
step S2, the intelligent transportation and inspection platform collects real-time pressure data, action time and speed uploaded by a terminal sensor, records historical data and forms a database together with factory test data of the circuit breaker;
and step S3, judging whether the energy storage spring of the circuit breaker is abnormal or not through an artificial intelligent diagnosis algorithm, and if so, sending an alarm signal and carrying out intervention judgment by a maintainer.
Monitoring data through a terminal sensor, forming a database through an intelligent monitoring platform, and judging whether an energy storage spring of the circuit breaker is abnormal or not through an artificial intelligent diagnosis algorithm; the performance and the strength of the energy storage spring can be monitored in real time, and early warning can be timely realized.
Preferably, the artificial intelligence diagnosis algorithm in step S3 is specifically as follows:
A. judging whether real-time data uploaded by an energy storage spring of the circuit breaker meets the standard or not by setting a test standard, and alarming if the real-time data does not meet the standard, and carrying out intervention judgment by a maintainer;
B. judging whether the deviation of the real-time data or the data of a certain action is overlarge according to factory test data and historical data, if the deviation is overlarge, an abnormal condition may exist, sending an alarm signal, and carrying out intervention judgment by a maintainer;
C. the phase splitting mechanism can compare whether the ABC three-phase data at the same interval are consistent or not, and if the phase difference is too large, the ABC three-phase data are abnormal; the single-phase mechanism can compare the data difference of the energy storage springs in the same batch, if one or more data are different from others, the abnormality is judged, an alarm signal is sent out, and the intervention judgment of a maintainer is carried out.
Can real-time on-line monitoring circuit breaker energy storage spring performance, in time discover the not enough scheduling problem of spring energy storage dynamics, avoid the not in place or the production of the heavy big defect such as the divide-shut brake speed is slow of circuit breaker divide-shut brake in advance, can monitor circuit breaker mechanical characteristic simultaneously with electricity, need not to have a power failure with equipment for circuit breaker mechanical characteristic is experimental alone, reduce equipment power failure test number of times, greatly reduce the work load that the fortune dimension of transformer substation overhauld, improved electric wire netting power supply reliability.
Preferably, the step S1 uses a spring pressure sensor and a breaker mechanical characteristic sensor to monitor pressure data, action time and speed of the energy storage spring and the breaker.
Preferably, the spring pressure sensor is installed on the energy storage spring, monitors the pressure of the energy storage spring in the energy storage state and the non-energy storage state in real time, and uploads the pressure to the intelligent operation and detection platform in real time.
Preferably, the mechanical characteristic sensor of the circuit breaker is installed on an operating mechanism action connecting rod or a transmission shaft, the action time and the action speed are monitored during opening and closing of the circuit breaker, and the action time and the action speed are uploaded to the intelligent operation and inspection platform after each action.
The intelligent high-voltage circuit breaker energy storage spring online monitoring system comprises a terminal sensor and an intelligent monitoring platform, wherein the terminal sensor and the intelligent monitoring platform are used for monitoring by the intelligent high-voltage circuit breaker energy storage spring online monitoring method.
Monitoring data through a terminal sensor, forming a database through an intelligent monitoring platform, and judging whether an energy storage spring of the circuit breaker is abnormal or not through an artificial intelligent diagnosis algorithm; the performance and the strength of the energy storage spring can be monitored in real time, and early warning can be timely realized.
Compared with the prior art, the invention has the following beneficial effects:
the intelligent online monitoring method for the energy storage spring of the high-voltage circuit breaker can monitor the elastic performance of the energy storage spring in real time, eliminate potential spring hazards in time and guarantee the healthy and stable operation of circuit breaker equipment; on one hand, the spring pressure sensor and the breaker mechanical characteristic sensor are used for sensing the spring performance and the breaker state from the inside, so that the safety and reliability of the breaker operation are improved; on the other hand, the state and abnormal operation information of the circuit breaker equipment are transversely, longitudinally, intelligently and automatically effectively identified according to historical data and similar equipment data through an intelligent monitoring platform and an intelligent diagnosis algorithm, and an early warning signal is timely sent out, so that the overhaul personnel can conveniently and timely eliminate defects.
The intelligent high-voltage circuit breaker energy storage spring online monitoring system monitors data through the terminal sensor, forms a database through the intelligent monitoring platform, and judges whether the circuit breaker energy storage spring is abnormal or not through an artificial intelligent diagnosis algorithm; the performance and the strength of the energy storage spring can be monitored in real time, and early warning can be timely realized.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, embodiments of the present invention are described in further detail below.
Example 1
When the high-voltage circuit breaker is in an operating state, the energy storage spring is in a compressed energy storage state, instantaneous capacity is prepared for the action of the circuit breaker at any time, the opening and closing of the circuit breaker are ensured to be in place, and large current in a short-circuit fault of a circuit or equipment in a station can be cut off within a specified time. Because the energy storage spring is frequently compressed and is in a compressed energy storage state for a long time, along with the increase of the operation age, the elastic force of the energy storage spring is reduced, and if the elastic force is reduced to the extent that the problem that the opening and closing of the circuit breaker is in place or the opening and closing speed is reduced is not enough, the reliable operation of equipment and the stability of a power system are seriously influenced.
At present, a breaker energy storage spring in the operation of a power grid lacks of a detection means, and the problem of the spring can be found only by regularly carrying out a mechanical characteristic test on equipment in power failure or when the equipment breaks down, so that part of the defects of the spring always exist, and hidden dangers are guaranteed to be buried for the operation reliability of the power grid and social electric power.
The invention discloses an online monitoring method of an energy storage spring of an intelligent high-voltage circuit breaker, which comprises the following steps:
step S1, monitoring pressure data, action time and speed of the energy storage spring and the breaker by a terminal sensor, and uploading the pressure data, the action time and the speed to an intelligent operation and inspection platform in real time;
step S2, the intelligent transportation and inspection platform collects real-time pressure data, action time and speed uploaded by a terminal sensor, records historical data and forms a database together with factory test data of the circuit breaker;
and step S3, judging whether the energy storage spring of the circuit breaker is abnormal or not through an artificial intelligent diagnosis algorithm, and if so, sending an alarm signal and carrying out intervention judgment by a maintainer.
Monitoring data through a terminal sensor, forming a database through an intelligent monitoring platform, and judging whether an energy storage spring of the circuit breaker is abnormal or not through an artificial intelligent diagnosis algorithm; the performance and the strength of the energy storage spring can be monitored in real time, and early warning can be timely realized.
Here, the artificial intelligence diagnosis algorithm in step S3 is specifically as follows:
A. judging whether real-time data uploaded by an energy storage spring of the circuit breaker meets the standard or not by setting a test standard, and alarming if the real-time data does not meet the standard, and carrying out intervention judgment by a maintainer;
B. judging whether the deviation of the real-time data or the data of a certain action is overlarge according to factory test data and historical data, if the deviation is overlarge, an abnormal condition may exist, sending an alarm signal, and carrying out intervention judgment by a maintainer;
C. the phase splitting mechanism can compare whether the ABC three-phase data at the same interval are consistent or not, and if the phase difference is too large, the ABC three-phase data are abnormal; the single-phase mechanism can compare the data difference of the energy storage springs in the same batch, if one or more data are different from others, the abnormality is judged, an alarm signal is sent out, and the intervention judgment of a maintainer is carried out.
Can real-time on-line monitoring circuit breaker energy storage spring performance, in time discover the not enough scheduling problem of spring energy storage dynamics, avoid the not in place or the production of the heavy big defect such as the divide-shut brake speed is slow of circuit breaker divide-shut brake in advance, can monitor circuit breaker mechanical characteristic simultaneously with electricity, need not to have a power failure with equipment for circuit breaker mechanical characteristic is experimental alone, reduce equipment power failure test number of times, greatly reduce the work load that the fortune dimension of transformer substation overhauld, improved electric wire netting power supply reliability.
Specifically, the terminal sensor is divided into two types, namely a spring pressure sensor and a circuit breaker mechanical characteristic sensor. The spring pressure sensor adopts a high-precision spring pressure sensor which is arranged on the energy storage spring, monitors the pressure of the energy storage spring in an energy storage state and an energy storage-free state in real time, and uploads the pressure to the intelligent operation and inspection platform in real time; the circuit breaker mechanical characteristic sensor is arranged on an operating mechanism action connecting rod or a transmission shaft, and is used for monitoring action time and speed during opening and closing of the circuit breaker and uploading the action time and speed to the intelligent operation and inspection platform after each action.
Furthermore, the intelligent monitoring platform collects real-time pressure data and action time and speed uploaded by the high-precision spring pressure sensor and the mechanical characteristic sensor of the circuit breaker, records historical data, and forms a database together with factory test data of the circuit breaker. The database can be classified to form sub-databases such as the same energy storage spring database, the same transformer substation energy storage spring database, the same production batch energy storage spring database, the same manufacturer energy storage spring database and the like, and provides data support for the artificial intelligent diagnosis algorithm. The intelligent operation and inspection monitoring platform simultaneously supports manual data query, implements data display, and can send out an alarm signal and give an abnormal analysis report when an artificial intelligent diagnosis algorithm diagnoses abnormal conditions.
And the artificial intelligent diagnosis algorithm carries out data integration and data analysis according to the historical data and the real-time data provided by the intelligent monitoring platform, gives an abnormal judgment and feeds back the abnormal judgment to the intelligent operation and detection monitoring platform. Analyzing and judging basic logic:
1. judging whether real-time data uploaded by an energy storage spring of the circuit breaker meets the standard or not by setting a test standard, and alarming if the real-time data does not meet the standard, and carrying out intervention judgment by a maintainer;
2. judging whether the deviation of the real-time data or the data of a certain action is overlarge according to factory test data and historical data, if the deviation is overlarge, an abnormal condition may exist, sending an alarm signal, and carrying out intervention judgment by a maintainer;
3. the phase splitting mechanism can compare whether the ABC three-phase data at the same interval are consistent or not, and if the phase difference is too large, the ABC three-phase data are abnormal; the single-phase mechanism can compare the data difference of the energy storage springs in the same batch, if one or more data are different from others, the abnormality is judged, an alarm signal is sent out, and the intervention judgment of a maintainer is carried out.
The elastic performance of the energy storage spring can be monitored in real time, potential hazards of the energy storage spring can be timely eliminated, and the healthy and stable operation of the breaker equipment is guaranteed. On one hand, the high-precision sensor is used for sensing the performance of the energy storage spring and the state of the circuit breaker from the inside, so that the safety and reliability of the operation of the circuit breaker are improved; on the other hand, the state and abnormal operation information of the circuit breaker equipment are transversely, longitudinally, intelligently and automatically effectively identified according to historical data and similar equipment data through an intelligent monitoring platform and an intelligent diagnosis algorithm, and an early warning signal is timely sent out, so that the overhaul personnel can conveniently and timely eliminate defects.
Example 2
The intelligent high-voltage circuit breaker energy storage spring online monitoring system comprises a terminal sensor and an intelligent monitoring platform, wherein the terminal sensor and the intelligent monitoring platform are monitored by the intelligent high-voltage circuit breaker energy storage spring online monitoring method in the embodiment 1.
Specifically, the terminal sensor adopts a spring pressure sensor and a breaker mechanical characteristic sensor to monitor pressure data, action time and speed of the energy storage spring and the breaker. The spring pressure sensor is installed on the energy storage spring, monitors the pressure of the energy storage spring in an energy storage state and an energy storage-free state in real time, and uploads the pressure to the intelligent operation and inspection platform in real time. The circuit breaker mechanical characteristic sensor is arranged on an operating mechanism action connecting rod or a transmission shaft, the action time and speed are monitored during opening and closing of the circuit breaker, and the action time and speed are uploaded to the intelligent operation and inspection platform after each action; through an intelligent monitoring platform and an intelligent diagnosis algorithm, the state and abnormal operation information of the circuit breaker equipment are effectively identified in a transverse, longitudinal, intelligent and automatic mode according to historical data and similar equipment data, early warning signals are sent out in time, and the defects can be conveniently and timely eliminated by maintenance personnel.
Monitoring data through a terminal sensor, forming a database through an intelligent monitoring platform, and judging whether an energy storage spring of the circuit breaker is abnormal or not through an artificial intelligent diagnosis algorithm; the performance and the strength of the energy storage spring can be monitored in real time, and early warning can be timely realized.
Claims (6)
1. An intelligent high-voltage circuit breaker energy storage spring online monitoring method is characterized by comprising the following steps:
step S1, monitoring pressure data, action time and speed of the energy storage spring and the breaker by a terminal sensor, and uploading the pressure data, the action time and the speed to an intelligent operation and inspection platform in real time;
step S2, the intelligent transportation and inspection platform collects real-time pressure data, action time and speed uploaded by a terminal sensor, records historical data and forms a database together with factory test data of the circuit breaker;
and step S3, judging whether the energy storage spring of the circuit breaker is abnormal or not through an artificial intelligent diagnosis algorithm, and if so, sending an alarm signal and carrying out intervention judgment by a maintainer.
2. The online monitoring method for the energy storage spring of the intelligent high-voltage circuit breaker according to claim 1, wherein the artificial intelligence diagnosis algorithm in the step S3 is specifically as follows:
A. judging whether real-time data uploaded by an energy storage spring of the circuit breaker meets the standard or not by setting a test standard, and alarming if the real-time data does not meet the standard, and carrying out intervention judgment by a maintainer;
B. judging whether the deviation of the real-time data or the data of a certain action is overlarge according to factory test data and historical data, if the deviation is overlarge, an abnormal condition may exist, sending an alarm signal, and carrying out intervention judgment by a maintainer;
C. the phase splitting mechanism can compare whether the ABC three-phase data at the same interval are consistent or not, and if the phase difference is too large, the ABC three-phase data are abnormal; the single-phase mechanism can compare the data difference of the energy storage springs in the same batch, if one or more data are different from others, the abnormality is judged, an alarm signal is sent out, and the intervention judgment of a maintainer is carried out.
3. The intelligent online monitoring method for the energy storage spring of the high-voltage circuit breaker as claimed in claim 1, wherein the step S1 employs a spring pressure sensor and a mechanical characteristic sensor of the circuit breaker to monitor pressure data, action time and speed of the energy storage spring and the circuit breaker.
4. The online monitoring method for the energy storage spring of the intelligent high-voltage circuit breaker according to claim 3, wherein the spring pressure sensor is installed on the energy storage spring, monitors the pressure of the energy storage spring in the energy storage state and the non-energy storage state in real time, and uploads the pressure to the intelligent operation and inspection platform in real time.
5. The online monitoring method for the energy storage spring of the intelligent high-voltage circuit breaker as claimed in claim 3, wherein the mechanical characteristic sensor of the circuit breaker is mounted on an operating mechanism action connecting rod or a transmission shaft, and is used for monitoring action time and speed during opening and closing of the circuit breaker and uploading the action time and speed to the intelligent operation and inspection platform after each action.
6. An intelligent high-voltage circuit breaker energy storage spring online monitoring system is characterized by comprising a terminal sensor and an intelligent monitoring platform, wherein the terminal sensor and the intelligent monitoring platform are monitored by the intelligent high-voltage circuit breaker energy storage spring online monitoring method according to claims 1-5.
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| CN212207592U (en) * | 2019-10-12 | 2020-12-22 | 南宁开关宝智能技术有限公司 | Artificial intelligence high voltage circuit breaker on-line monitoring device |
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- 2021-12-31 CN CN202111664504.XA patent/CN114354166A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101266282A (en) * | 2008-04-29 | 2008-09-17 | 王世有 | Hexafluoride sulphur circuit breaker on-line monitoring instrument |
| CN204128812U (en) * | 2014-11-14 | 2015-01-28 | 国家电网公司 | A kind of breaker energy storage spring performance detection apparatus |
| CN204462331U (en) * | 2015-02-26 | 2015-07-08 | 厦门华电开关有限公司 | Vacuum breaker mechanical features on-line monitoring system |
| CN108548623A (en) * | 2018-03-27 | 2018-09-18 | 北京惟鑫航达科技有限公司 | A method of on-line monitoring high-voltage breaker mechanism spring force value |
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