CN116559751A - Abnormality monitoring method for electric power metering terminal equipment - Google Patents
Abnormality monitoring method for electric power metering terminal equipment Download PDFInfo
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- CN116559751A CN116559751A CN202310556842.4A CN202310556842A CN116559751A CN 116559751 A CN116559751 A CN 116559751A CN 202310556842 A CN202310556842 A CN 202310556842A CN 116559751 A CN116559751 A CN 116559751A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
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Abstract
The invention discloses an anomaly monitoring method for electric power metering terminal equipment, which belongs to the technical field of anomaly monitoring of electric power equipment and comprises the following steps: 1) Setting a judgment rule of abnormality of the electric power metering terminal equipment; 2) Establishing a monitoring model according to the judging rule; 3) And acquiring the monitoring operation parameters of the electric power metering terminal equipment on the electric power utilization terminal, and extracting the state characteristic quantity of the electric power metering terminal equipment from the monitoring operation parameters. According to the invention, the monitoring operation parameters of the power metering terminal equipment on the power utilization terminal are obtained to extract the state characteristic quantity of the power metering terminal equipment, the preset monitoring model is adopted to preprocess the state characteristic quantity to obtain the current state of the power metering terminal equipment, then the current state is integrated into a monitoring data set to be transmitted to the early warning management platform, the monitoring data set is compared with the normal working data set of the power metering terminal equipment stored in the early warning management platform, and finally whether the power metering terminal equipment is in an abnormal working state is judged.
Description
Technical Field
The invention belongs to the technical field of power equipment abnormality monitoring, and particularly relates to an electric power metering terminal equipment abnormality monitoring method.
Background
With the construction of electric power engineering and the continuous soundness of electric power infrastructure, the operation of the electric power metering device is basically free from great problems. However, due to the influence of population pressure and the influence of socioeconomic development, some abnormal situations of the electric power metering device occur occasionally, and deep analysis on the problems must be carried out and professional technical measures must be taken to solve the problems.
The electric power metering device is equipment for recording the electric energy consumption, and is more common electric energy meter. Analyzing the reasons of abnormal operation of the metering device and adopting a targeted processing strategy, thereby ensuring stable operation and improving data accuracy. However, in the actual operation process, the metering device is abnormal and the accuracy of the data is affected, so that the satisfaction degree of the power user is reduced. Moreover, the abnormal change of the electric power metering device directly causes the serious change of related parameters, which can cause serious influence on the safety of electric power supply and has very bad effect on the normal development of an electric power company; therefore, the staff is conducted deep research aiming at the abnormal reasons, the monitoring force is improved, and the orderly development of the power enterprises is ensured. Along with the promotion of industrialization, the electric power demand is also larger and larger, the problem of electric power waste occurs in partial areas of China, analysis is carried out aiming at the reasons of abnormality of the metering device, scientific monitoring countermeasures are adopted, accurate data are provided for staff, and the waste of electric energy is reduced. The staff is to the actual operation current situation, perfects inner structure constantly, ensures the steady operation of equipment.
Therefore, a high degree of attention must be paid to monitoring the abnormality of the power metering device, and therefore, we propose a power metering terminal device abnormality monitoring method to solve the above-mentioned problems.
Disclosure of Invention
The invention aims to provide an abnormality monitoring method for electric power metering terminal equipment, which aims to solve the problems in the background technology.
In order to achieve the above purpose, the present invention provides the following technical solutions: an anomaly monitoring method for an electric power metering terminal device, the monitoring method comprises the following steps:
1) Setting a judgment rule of abnormality of the electric power metering terminal equipment;
2) Establishing a monitoring model according to the judging rule;
3) Acquiring monitoring operation parameters of the power metering terminal equipment on the power utilization terminal, and extracting state characteristic quantities of the power metering terminal equipment from the monitoring operation parameters;
4) The monitoring model preprocesses the extracted state characteristic quantity of the electric power metering terminal equipment to obtain the current state of the electric power metering terminal equipment;
5) And integrating the current state of the electric power metering terminal equipment into a monitoring data set, sending the monitoring data set to the early warning management platform, and then comparing the acquired monitoring data set with the internally stored normal working data set of the electric power metering terminal equipment by the early warning management platform so as to judge whether the electric power metering terminal equipment is in an abnormal working state or not.
Preferably, the rule for determining abnormality of the electric power metering terminal device specifically includes:
the voltage is smaller than the starting voltage, the current is not equal to the starting current, and the duration is longer than 5min.
Preferably, the period of acquiring the monitoring operation parameters of the electricity metering terminal equipment to the electricity utilization terminal is 30min.
Preferably, the state characteristic quantity of the electric power metering terminal device at least comprises metering voltage monitoring quantity, metering current monitoring quantity, power factor monitoring quantity, electric quantity monitoring quantity and communication abnormity monitoring quantity.
Preferably, the monitoring model preprocesses the extracted state characteristic quantity of the electric power metering terminal device to obtain the current state of the electric power metering terminal device, and specifically includes:
and the monitoring model performs duplicate removal processing on the extracted state characteristic quantity of the repeated part of the power metering terminal equipment, and supplements the state characteristic quantity extracted in the previous period when the extracted state characteristic quantity of the power metering terminal equipment is in a part of missing state characteristic quantity so as to acquire the current state of the complete power metering terminal equipment.
Preferably, the early warning management platform compares the acquired monitoring data set with an internally stored normal working data set of the electric power metering terminal device, and specifically includes:
and performing a comparison process on the characteristic parameters in the obtained monitoring data set and the characteristic parameters of the internal stored normal working state data set of the electric power metering terminal equipment.
Preferably, the determining whether the electric power metering terminal device is in an abnormal working state specifically includes:
and when one or more characteristic parameters in the monitoring data set exceed the corresponding characteristic parameter interval of the normal working data set of the electric power metering terminal equipment stored in the early warning management platform, judging that the electric power metering terminal equipment is in an abnormal working state.
Preferably, the characteristic parameters in the monitoring data set or the normal working data set of the electric power metering terminal equipment at least comprise voltage, current, power, electric energy metering and power factor.
Preferably, when the early warning management platform judges that the electric power metering terminal equipment is in an abnormal working state, the early warning management platform sends an early warning control instruction to the early warning module so as to perform early warning and alarm, and meanwhile, the comparison processing result is displayed on a display electronic screen connected with the early warning management platform.
Compared with the prior art, the invention has the beneficial effects that:
according to the invention, the state characteristic quantity of the electric power metering terminal equipment can be extracted by acquiring the monitoring operation parameters of the electric power metering terminal equipment on the electric power consumption terminal, the state characteristic quantity is preprocessed by adopting the preset monitoring model, so that the current state of the electric power metering terminal equipment is acquired, then the current state is integrated into a monitoring data set and is transmitted into the early warning management platform, the monitoring data set is compared with the normal operation data set of the electric power metering terminal equipment stored in the early warning management platform, finally, whether the electric power metering terminal equipment is in an abnormal operation state is judged, and when the electric power metering terminal equipment is judged to be in the abnormal operation state, the early warning management platform sends an early warning control instruction to the early warning module so as to perform early warning and alarming, and meanwhile, the comparison processing result is displayed on a display electronic screen connected with the early warning management platform, so that management personnel can know and overhaul in time.
Drawings
Fig. 1 is a workflow diagram of an abnormality monitoring method for an electric power metering terminal device according to the present invention.
FIG. 2 is a system block diagram of the anomaly monitoring system of the power metering terminal device of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
As shown in fig. 1, the embodiment provides a method for monitoring abnormality of an electric power metering terminal device, which includes the following steps:
1) Setting a judgment rule of abnormality of the electric power metering terminal equipment;
2) Establishing a monitoring model according to the judging rule;
3) Acquiring monitoring operation parameters of the power metering terminal equipment on the power utilization terminal, and extracting state characteristic quantities of the power metering terminal equipment from the monitoring operation parameters;
4) The monitoring model preprocesses the extracted state characteristic quantity of the electric power metering terminal equipment to obtain the current state of the electric power metering terminal equipment;
5) And integrating the current state of the electric power metering terminal equipment into a monitoring data set, sending the monitoring data set to the early warning management platform, and then comparing the acquired monitoring data set with the internally stored normal working data set of the electric power metering terminal equipment by the early warning management platform so as to judge whether the electric power metering terminal equipment is in an abnormal working state or not.
In this embodiment, the rule for determining abnormality of the electric power metering terminal device specifically includes:
the voltage is smaller than the starting voltage, the current is not equal to the starting current, and the duration is longer than 5min.
In this embodiment, the period for acquiring the monitored operation parameter of the electricity metering terminal device on the electricity consumption terminal is 30min.
In this embodiment, the state characteristic of the power metering terminal device at least includes a metering voltage monitor, a metering current monitor, a power factor monitor, an electric quantity monitor, and a communication abnormality monitor.
In this embodiment, the monitoring model performs preprocessing on the extracted state feature quantity of the electric power metering terminal device to obtain a current state of the electric power metering terminal device, and specifically includes:
and the monitoring model performs duplicate removal processing on the extracted state characteristic quantity of the repeated part of the power metering terminal equipment, and supplements the state characteristic quantity extracted in the previous period when the extracted state characteristic quantity of the power metering terminal equipment is in a part of missing state characteristic quantity so as to acquire the current state of the complete power metering terminal equipment.
In this embodiment, the early warning management platform compares the acquired monitoring data set with the internally stored normal working data set of the electric power metering terminal device, and specifically includes:
and performing a comparison process on the characteristic parameters in the obtained monitoring data set and the characteristic parameters of the internal stored normal working state data set of the electric power metering terminal equipment.
In this embodiment, the determining whether the electric power metering terminal device is in an abnormal working state specifically includes:
and when one or more characteristic parameters in the monitoring data set exceed the corresponding characteristic parameter interval of the normal working data set of the electric power metering terminal equipment stored in the early warning management platform, judging that the electric power metering terminal equipment is in an abnormal working state.
In this embodiment, the characteristic parameters in the monitoring data set or the normal working data set of the electric power metering terminal device at least include voltage, current, power, electric energy metering and power factor.
In this embodiment, when the early warning management platform determines that the electric power metering terminal device is in an abnormal working state, the early warning management platform sends an early warning control instruction to the early warning module to perform early warning and alarm, and simultaneously presents a comparison processing result on a display electronic screen connected with the early warning management platform.
As shown in fig. 2, this embodiment further provides an anomaly monitoring system for an electric power metering terminal device, where the system includes:
the model setting module is operated to establish a monitoring model according to the judging rule;
the parameter acquisition module is used for acquiring the monitoring operation parameters of the electric power metering terminal equipment on the electric power utilization terminal and extracting the state characteristic quantity of the electric power metering terminal equipment from the monitoring operation parameters;
the model preprocessing module is used for preprocessing the extracted state characteristic quantity of the power metering terminal equipment to obtain the current state of the power metering terminal equipment;
the arrangement and transmission module is used for integrating the current state of the electric power metering terminal equipment into a monitoring data set and transmitting the monitoring data set to the early warning management platform;
the early warning management platform is operated to compare the acquired monitoring data set with the internally stored normal working data set of the power metering terminal equipment, so as to judge whether the power metering terminal equipment is in an abnormal working state.
The early warning management platform consists of a data set acquisition unit, a preset data set storage unit, a data comparison unit, a control unit and a comparison structure output unit;
the data set acquisition unit is operated to acquire the monitoring data set uploaded by the sorting and transmitting module;
the preset data set storage unit is operated to store a normal working data set of the electric power metering terminal equipment;
the data comparison unit is used for comparing the acquired monitoring data set with the internally stored normal working data set of the electric power metering terminal equipment;
the comparison output unit is operated to receive the comparison processing result of the data comparison unit and output the comparison processing result to a display electronic screen connected with the early warning management platform;
and the control unit is operated when the electric power metering terminal equipment is judged to be in an abnormal working state, and can generate a control signal and send the control signal to the early warning module so as to control the early warning module to perform early warning and alarming.
According to the invention, the state characteristic quantity of the electric power metering terminal equipment can be extracted by acquiring the monitoring operation parameters of the electric power metering terminal equipment on the electric power consumption terminal, the state characteristic quantity is preprocessed by adopting the preset monitoring model, so that the current state of the electric power metering terminal equipment is acquired, then the current state is integrated into a monitoring data set and is transmitted into the early warning management platform, the monitoring data set is compared with the normal operation data set of the electric power metering terminal equipment stored in the early warning management platform, finally, whether the electric power metering terminal equipment is in an abnormal operation state is judged, and when the electric power metering terminal equipment is judged to be in the abnormal operation state, the early warning management platform sends an early warning control instruction to the early warning module so as to perform early warning and alarming, and meanwhile, the comparison processing result is displayed on a display electronic screen connected with the early warning management platform, so that management personnel can know and overhaul in time.
While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. It is therefore intended that the following claims be interpreted as including the preferred embodiments and all such alterations and modifications as fall within the scope of the invention.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present invention without departing from the spirit or scope of the invention. Thus, it is intended that the present invention also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.
Claims (9)
1. The power metering terminal equipment abnormality monitoring method is characterized by comprising the following steps of:
1) Setting a judgment rule of abnormality of the electric power metering terminal equipment;
2) Establishing a monitoring model according to the judging rule;
3) Acquiring monitoring operation parameters of the power metering terminal equipment on the power utilization terminal, and extracting state characteristic quantities of the power metering terminal equipment from the monitoring operation parameters;
4) The monitoring model preprocesses the extracted state characteristic quantity of the electric power metering terminal equipment to obtain the current state of the electric power metering terminal equipment;
5) And integrating the current state of the electric power metering terminal equipment into a monitoring data set, sending the monitoring data set to the early warning management platform, and then comparing the acquired monitoring data set with the internally stored normal working data set of the electric power metering terminal equipment by the early warning management platform so as to judge whether the electric power metering terminal equipment is in an abnormal working state or not.
2. The method for monitoring abnormality of power metering terminal equipment according to claim 1, wherein the rule for determining abnormality of power metering terminal equipment specifically comprises:
the voltage is smaller than the starting voltage, the current is not equal to the starting current, and the duration is longer than 5min.
3. The abnormality monitoring method for an electric power metering terminal device according to claim 1, wherein the period for acquiring the monitored operation parameter of the electric power metering terminal device for the electric power consumption terminal is 30min.
4. The method for monitoring abnormality of an electric power metering terminal device according to claim 1, wherein the state characteristic quantity of the electric power metering terminal device at least includes a metering voltage monitoring quantity, a metering current monitoring quantity, a power factor monitoring quantity, an electric quantity monitoring quantity and a communication abnormality monitoring quantity.
5. The method for monitoring abnormality of an electric power metering terminal device according to claim 1, wherein the monitoring model preprocesses the extracted state characteristic quantity of the electric power metering terminal device to obtain the current state of the electric power metering terminal device, and specifically comprises:
and the monitoring model performs duplicate removal processing on the extracted state characteristic quantity of the repeated part of the power metering terminal equipment, and supplements the state characteristic quantity extracted in the previous period when the extracted state characteristic quantity of the power metering terminal equipment is in a part of missing state characteristic quantity so as to acquire the current state of the complete power metering terminal equipment.
6. The method for monitoring the abnormality of the power metering terminal equipment according to claim 1, wherein the early warning management platform compares the acquired monitoring data set with the internally stored normal working data set of the power metering terminal equipment, and specifically comprises the following steps:
and performing a comparison process on the characteristic parameters in the obtained monitoring data set and the characteristic parameters of the internal stored normal working state data set of the electric power metering terminal equipment.
7. The method for monitoring abnormality of an electric power metering terminal device according to claim 1, wherein the determining whether the electric power metering terminal device is in an abnormal operation state specifically includes:
and when one or more characteristic parameters in the monitoring data set exceed the corresponding characteristic parameter interval of the normal working data set of the electric power metering terminal equipment stored in the early warning management platform, judging that the electric power metering terminal equipment is in an abnormal working state.
8. The method for monitoring the abnormality of the power metering terminal device according to claim 7, wherein the characteristic parameters in the monitoring data set or the normal operation data set of the power metering terminal device at least include voltage, current, power, electric energy metering and power factor.
9. The method for monitoring the abnormality of the electric power metering terminal device according to claim 1 or 7, wherein when the early warning management platform judges that the electric power metering terminal device is in an abnormal working state, the early warning management platform sends an early warning control instruction to the early warning module to perform early warning and alarm, and simultaneously presents a comparison processing result on a display electronic screen connected with the early warning management platform.
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| CN202310556842.4A CN116559751A (en) | 2023-05-16 | 2023-05-16 | Abnormality monitoring method for electric power metering terminal equipment |
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| CN202310556842.4A CN116559751A (en) | 2023-05-16 | 2023-05-16 | Abnormality monitoring method for electric power metering terminal equipment |
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