CN115856714B - Branch loop health state assessment method and system - Google Patents
Branch loop health state assessment method and system Download PDFInfo
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Abstract
The application relates to a branch circuit health state assessment method and system, and relates to the technical field of branch circuit health state assessment methods, wherein the method comprises the steps of obtaining first temperature data of a circuit of a branch circuit, inputting the obtained first temperature data into a trained assessment model to obtain a first score F 1 The method comprises the steps of carrying out a first treatment on the surface of the Acquiring second temperature data of an iron core of the current transformer CT, and inputting the acquired second temperature data into an evaluation model to obtain a second score F 2 The method comprises the steps of carrying out a first treatment on the surface of the Acquiring zero line current and live line current in a branch loop, and inputting the acquired zero line current and live line current into an evaluation model to obtain a third score F 3 The method comprises the steps of carrying out a first treatment on the surface of the Obtaining an evaluation total score; obtaining a scoring interval based on the estimated total score; and generating early warning actions corresponding to the scoring intervals in the monitoring terminal based on the scoring intervals. The method and the device have the effect of being convenient for evaluating the health state of the branch loop.
Description
Technical Field
The application relates to the technical field of power systems, in particular to a branch loop health state evaluation method and system.
Background
The branch loop refers to a plurality of terminal lines which are led out from a household distribution box and supply power to electric equipment or sockets.
The health of the branch circuit affects the operation of the branch circuit electronics. The temperature, CT open circuit and electric leakage influence factors in the branch loop are numerous, and comprehensive tracking is difficult to carry out by the technology.
How to overcome the defects of the prior art is a problem which needs to be solved at present.
Disclosure of Invention
In order to facilitate evaluation of the health state of the branch circuit, the application provides a branch circuit health state evaluation method and system.
In a first aspect, the present application provides a method for evaluating the health status of a branch circuit, which adopts the following technical scheme.
A branch circuit health state assessment method, comprising:
acquiring first temperature data of a circuit of a branch loop, and inputting the acquired first temperature data into a trained evaluation model; the evaluation model outputs a first score F based on first temperature data acquired within a preset time period 1 ；
Acquiring second temperature data of an iron core of a current transformer CT, inputting the acquired second temperature data into the evaluation model, and outputting a second score F by the evaluation model based on the second temperature data acquired within a preset time period 2 The method comprises the steps of carrying out a first treatment on the surface of the The second score F 2 For characterizing the likelihood of a CT open circuit of the current transformer;
acquiring zero line current and live line current in a branch loop, inputting the acquired zero line current and live line current into the evaluation model, and outputting a third score F by the evaluation model based on the zero line current and the live line current acquired within a preset time period 3 The method comprises the steps of carrying out a first treatment on the surface of the The third score F 3 The method is used for representing the possibility of leakage of the branch circuit;
based on
Obtaining an evaluation total score; wherein n is a weight coefficient; n is the total evaluation score;
obtaining a scoring interval based on the evaluation total score; the scoring interval comprises a first interval, a second interval and a third interval; the value in the first interval is greater than the value in the second interval; the value in the second interval is greater than the value in the third interval; the method comprises the steps of,
and generating early warning actions corresponding to the scoring intervals in the monitoring terminal based on the scoring intervals.
Optionally, generating, in the terminal, an early warning action corresponding to the scoring interval based on the scoring interval includes:
when the scoring interval is a first interval, generating a prompt box in the monitoring terminal; generating the first control after the prompt box is clicked; the first control is displayed with prompt information corresponding to the evaluation total score;
when the scoring interval is a second interval, generating a second control in the monitoring terminal; displaying the second control in a display area of a display screen of the monitoring terminal at intervals of a first duration; the second control is displayed with prompt information corresponding to the evaluation total score;
when the scoring interval is a third interval, generating a third control in the monitoring terminal; and the third control is filled in the display area of the display screen of the monitoring terminal, and prompt information corresponding to the total evaluation score is displayed in the third control.
Optionally, after the third control is generated in the monitoring terminal, the method further includes:
judging whether the first score is larger than a first reference score; if yes, judging the data to be abnormal data;
judging whether the first temperature data is larger than a first reference temperature or not; if yes, judging the data to be abnormal data;
judging whether the second score is greater than a second reference score; if yes, judging the data to be abnormal data;
judging whether the second temperature data is larger than a second reference temperature or not; if yes, judging the data to be abnormal data;
judging whether the third score is greater than a third reference score; if yes, judging the data to be abnormal data; the method comprises the steps of,
and after the third control is clicked, displaying all the data which are judged to be abnormal data in the third control.
Optionally, after the third control is generated in the monitoring terminal, the method further includes:
judging whether the third control is clicked within the second time period; if not, sending a control signal to the warning equipment; the warning equipment is arranged beside the monitoring terminal; the control signal is used for triggering the warning device to send out an alarm.
Optionally, the method further comprises:
drawing a first curve based on the acquired first temperature data;
based on the obtained first score F 1 Drawing a second curve;
drawing a third curve based on the acquired second temperature data;
based on the second score F obtained 2 Drawing a fourth curve;
drawing a fifth curve based on the obtained zero line current;
drawing a sixth curve based on the acquired live wire current;
based on the third score F obtained 3 Drawing a seventh curve; the method comprises the steps of,
uploading the drawn first curve, second curve, third curve, fourth curve, fifth curve, sixth curve and seventh curve to the cloud.
Optionally, the training method of the evaluation model includes:
acquiring a plurality of historical data of the branch loop in an abnormal state;
acquiring first temperature data and first scoring data in historical data, normalizing the first temperature data and the first scoring data, and then putting the first scoring data and the first temperature data into a constructed temperature characteristic data set to obtain a first training set;
acquiring second temperature data and second scoring data in the historical data, normalizing the second temperature data and the second scoring data, and then placing the second temperature data and the second scoring data in the constructed CT open-circuit characteristic data set to obtain a second training set;
the zero line current, the live line current and the third scoring data in the historical data are obtained and are put into the constructed leakage characteristic data set after being standardized to obtain a third training set;
training the deep learning model by using the first training set to obtain a trained first evaluation submodel;
training the deep learning model by using the second training set to obtain a trained second evaluation submodel;
training the deep learning model by using the third training set to obtain a trained third evaluation sub-model;
and obtaining the evaluation model based on the first evaluation sub-model, the second evaluation sub-model and the third evaluation sub-model.
In a second aspect, the present application provides a method for evaluating the health status of a branch circuit, which adopts the following technical scheme.
A branch circuit health status evaluation system, comprising:
a first processing module for: acquiring first temperature data of a circuit of a branch loop, and inputting the acquired first temperature data into a trained evaluation model; the evaluation model outputs a first score F based on first temperature data acquired within a preset time period 1 ；
A second processing module for: acquiring second temperature data of an iron core of a current transformer CT, inputting the acquired second temperature data into the evaluation model, and outputting a second score F by the evaluation model based on the second temperature data acquired within a preset time period 2 The method comprises the steps of carrying out a first treatment on the surface of the The second score F 2 For characterizing the likelihood of a CT open circuit of the current transformer;
a third processing module for: acquiring zero line current and live line current in a branch loop, inputting the acquired zero line current and live line current into the evaluation model, and outputting a third score F by the evaluation model based on the zero line current and the live line current acquired within a preset time period 3 The method comprises the steps of carrying out a first treatment on the surface of the The third score F 3 The method is used for representing the possibility of leakage of the branch circuit;
a fourth processing module for: based on
Obtaining an evaluation total score; wherein n is a weight coefficient; n is the total evaluation score;
a fifth processing module for: obtaining a scoring interval based on the evaluation total score; the scoring interval comprises a first interval, a second interval and a third interval; the value in the first interval is greater than the value in the second interval; the value in the second interval is greater than the value in the third interval; the method comprises the steps of,
a sixth processing module for: and generating early warning actions corresponding to the scoring intervals in the monitoring terminal based on the scoring intervals.
Optionally, generating, in the terminal, an early warning action corresponding to the scoring interval based on the scoring interval includes:
when the scoring interval is a first interval, generating a prompt box in the monitoring terminal; generating the first control after the prompt box is clicked; the first control is displayed with prompt information corresponding to the evaluation total score;
when the scoring interval is a second interval, generating a second control in the monitoring terminal; displaying the second control in a display area of a display screen of the monitoring terminal at intervals of a first duration; the second control is displayed with prompt information corresponding to the evaluation total score;
when the scoring interval is a third interval, generating a third control in the monitoring terminal; and the third control is filled in the display area of the display screen of the monitoring terminal, and prompt information corresponding to the total evaluation score is displayed in the third control.
Optionally, the system further comprises a seventh processing module; the seventh processing module is used for: after a third control is generated in the monitoring terminal, judging whether the first score is larger than a first reference score or not; if yes, judging the data to be abnormal data; judging whether the first temperature data is larger than a first reference temperature or not; if yes, judging the data to be abnormal data; judging whether the second score is greater than a second reference score; if yes, judging the data to be abnormal data; judging whether the second temperature data is larger than a second reference temperature or not; if yes, judging the data to be abnormal data; judging whether the third score is greater than a third reference score; if yes, judging the data to be abnormal data; and displaying all the data determined to be abnormal data in the third control after the third control is clicked.
Optionally, the system further comprises an eighth processing module; the eighth processing module is configured to: after a third control is generated in the monitoring terminal, judging whether the third control is clicked in a second duration; if not, sending a control signal to the warning equipment; the warning equipment is arranged beside the monitoring terminal; the control signal is used for triggering the warning device to send out an alarm.
Drawings
FIG. 1 is a flowchart of a branch circuit health status evaluation method according to an embodiment of the present application;
FIG. 2 is a system block diagram of a branch circuit health status assessment system according to an embodiment of the present application;
in the figure, 201, a first processing module; 202. a second processing module; 203. a third processing module; 204. a fourth processing module; 205. a fifth processing module; 206. a sixth processing module; 207. a seventh processing module; 208. and an eighth processing module.
Detailed Description
The present application is further described with reference to fig. 1-2 and the specific examples below:
the embodiment of the application discloses a branch loop health state evaluation method. Referring to fig. 1, as an embodiment of a branch circuit health state evaluation method, a branch circuit health state evaluation method includes the steps of:
step S101, acquiring first temperature data of a circuit of a branch loop, and inputting the acquired first temperature data into a trained evaluation model; the evaluation model outputs a first score F based on first temperature data acquired within a preset time period 1 。
Step S102, acquiring second temperature data of an iron core of the current transformer CT, and inputting the acquired second temperature data into an evaluation model, wherein the evaluation model is based on a preset time lengthThe second temperature data acquired internally outputs a second score F 2 The method comprises the steps of carrying out a first treatment on the surface of the Second score F 2 For characterizing the likelihood of a current transformer CT open circuit.
Step S103, acquiring the zero line current and the live line current in the branch loop, inputting the acquired zero line current and live line current into an evaluation model, and outputting a third score F by the evaluation model based on the acquired zero line current and live line current within a preset time period 3 The method comprises the steps of carrying out a first treatment on the surface of the Third score F 3 For characterizing the potential for branch circuit leakage.
Step S104, based on
Obtaining an evaluation total score; wherein n is a weight coefficient; n is the total score of the evaluation.
Step S105, obtaining a scoring interval based on the evaluation total score; the scoring interval comprises a first interval, a second interval and a third interval; the value in the first interval is greater than the value in the second interval; the values in the second interval are greater than the values in the third interval.
And step S106, generating early warning actions corresponding to the scoring intervals in the monitoring terminal based on the scoring intervals.
As a specific embodiment of a branch circuit health state evaluation method, generating an early warning action corresponding to a scoring interval in a terminal based on the scoring interval, includes:
when the scoring interval is the first interval, generating a prompt box in the monitoring terminal; generating a first control after the prompt box is clicked; the first control is displayed with prompt information corresponding to the total evaluation score;
when the scoring interval is a second interval, generating a second control in the monitoring terminal; displaying the second control on a display area of a display screen of the monitoring terminal at intervals of a first duration; the second control is displayed with prompt information corresponding to the total evaluation score;
when the scoring interval is a third interval, generating a third control in the monitoring terminal; and the third control is filled in the display area of the display screen of the monitoring terminal, and prompt information corresponding to the total evaluation score is displayed in the third control.
As a specific embodiment of the branch circuit health state evaluation method, after generating the third control in the monitoring terminal, the method further includes:
judging whether the first score is larger than a first reference score; if yes, judging the data to be abnormal data;
judging whether the first temperature data is larger than a first reference temperature or not; if yes, judging the data to be abnormal data;
judging whether the second score is greater than a second reference score; if yes, judging the data to be abnormal data;
judging whether the second temperature data is larger than a second reference temperature or not; if yes, judging the data to be abnormal data;
judging whether the third score is greater than a third reference score; if yes, judging the data to be abnormal data; the method comprises the steps of,
and after the third control is clicked, displaying all the data determined to be abnormal data in the third control.
As a specific embodiment of the branch circuit health state evaluation method, after generating the third control in the monitoring terminal, the method further includes:
judging whether the third control is clicked within the second time period; if not, sending a control signal to the warning equipment; the warning equipment is arranged beside the monitoring terminal; the control signal is used for triggering the warning device to give an alarm.
As a specific embodiment of the branch circuit health state evaluation method, the method further includes:
drawing a first curve based on the acquired first temperature data;
based on the obtained first score F 1 Drawing a second curve;
drawing a third curve based on the acquired second temperature data;
based on the obtained second score F 2 Drawing a fourth curve;
drawing a fifth curve based on the acquired zero line current;
drawing a sixth curve based on the acquired live wire current;
based on acquisitionThird score F of (2) 3 Drawing a seventh curve; the method comprises the steps of,
uploading the drawn first curve, second curve, third curve, fourth curve, fifth curve, sixth curve and seventh curve to the cloud.
As a specific embodiment of the branch circuit health state evaluation method, the training method of the evaluation model includes:
acquiring a plurality of historical data of the branch loop in an abnormal state;
acquiring first temperature data and first scoring data in historical data, normalizing the first temperature data and the first scoring data, and then putting the first scoring data and the first temperature data into a constructed temperature characteristic data set to obtain a first training set;
acquiring second temperature data and second scoring data in the historical data, normalizing the second temperature data and the second scoring data, and then placing the second temperature data and the second scoring data in the constructed CT open-circuit characteristic data set to obtain a second training set;
the zero line current, the live line current and the third scoring data in the historical data are obtained and are put into the constructed leakage characteristic data set after being standardized to obtain a third training set;
training the deep learning model by using a first training set to obtain a trained first evaluation sub-model;
training the deep learning model by using a second training set to obtain a trained second evaluation sub-model;
training the deep learning model by using a third training set to obtain a trained third evaluation sub-model;
and obtaining an evaluation model based on the first evaluation sub-model, the second evaluation sub-model and the third evaluation sub-model.
Referring to fig. 2, the present application further provides a branch circuit health status evaluation system, including:
a first processing module 201, configured to: acquiring first temperature data of a circuit of a branch loop, and inputting the acquired first temperature data into a trained evaluation model; the evaluation model outputs a first score F based on first temperature data acquired within a preset time period 1 ；
a third processing module 203, configured to: acquiring zero line current and live line current in a branch loop, inputting the acquired zero line current and live line current into an evaluation model, and outputting a third score F by the evaluation model based on the zero line current and the live line current acquired within a preset time period 3 The method comprises the steps of carrying out a first treatment on the surface of the Third score F 3 The method is used for representing the possibility of leakage of the branch circuit;
a fourth processing module 204 for: based on
Obtaining an evaluation total score; wherein n is a weight coefficient; n is the total evaluation score;
a fifth processing module 205, configured to: obtaining a scoring interval based on the estimated total score; the scoring interval comprises a first interval, a second interval and a third interval; the value in the first interval is greater than the value in the second interval; the value in the second interval is greater than the value in the third interval; the method comprises the steps of,
a sixth processing module 206, configured to: and generating early warning actions corresponding to the scoring intervals in the monitoring terminal based on the scoring intervals.
As one embodiment of the branch circuit health state evaluation system, generating an early warning action corresponding to the scoring interval in the terminal based on the scoring interval, includes:
when the scoring interval is the first interval, generating a prompt box in the monitoring terminal; generating a first control after the prompt box is clicked; the first control is displayed with prompt information corresponding to the total evaluation score;
when the scoring interval is a second interval, generating a second control in the monitoring terminal; displaying the second control on a display area of a display screen of the monitoring terminal at intervals of a first duration; the second control is displayed with prompt information corresponding to the total evaluation score;
when the scoring interval is a third interval, generating a third control in the monitoring terminal; and the third control is filled in the display area of the display screen of the monitoring terminal, and prompt information corresponding to the total evaluation score is displayed in the third control.
As one embodiment of a branch circuit health status assessment system, the system further includes a seventh processing module 207; the seventh processing module 207 is configured to: after a third control is generated in the monitoring terminal, judging whether the first score is larger than a first reference score or not; if yes, judging the data to be abnormal data; judging whether the first temperature data is larger than a first reference temperature or not; if yes, judging the data to be abnormal data; judging whether the second score is greater than a second reference score; if yes, judging the data to be abnormal data; judging whether the second temperature data is larger than a second reference temperature or not; if yes, judging the data to be abnormal data; judging whether the third score is greater than a third reference score; if yes, judging the data to be abnormal data; and after the third control is clicked, displaying all the data determined to be abnormal data in the third control.
As one embodiment of a branch circuit health status assessment system, the system further includes an eighth processing module 208; the eighth processing module 208 is configured to: after the third control is generated in the monitoring terminal, judging whether the third control is clicked in the second time period; if not, sending a control signal to the warning equipment; the warning equipment is arranged beside the monitoring terminal; the control signal is used for triggering the warning device to give an alarm.
The embodiment of the application also discloses electronic equipment.
Specifically, the apparatus includes a memory and a processor, the memory storing a computer program capable of being loaded by a server and executing any one of the branch circuit health status evaluation methods described above.
The embodiment of the application also discloses a computer readable storage medium. Specifically, the computer-readable storage medium storing a computer program capable of being loaded by a server and executing any one of the branch circuit health state evaluation methods described above includes, for example: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
It should be noted that: the above embodiments are only for illustrating the present application and not for limiting the technical solutions described in the present application, and although the present application has been described in detail with reference to the above embodiments, it should be understood by those skilled in the art that the present application may be modified or substituted by equivalent ones, and all technical solutions and modifications thereof without departing from the spirit and scope of the present application should be covered in the scope of the claims of the present application.
Claims (10)
1. A branch circuit health state evaluation method, comprising:
acquiring first temperature data of a circuit of a branch loop, and inputting the acquired first temperature data into a trained evaluation model; the evaluation model outputs a first score F based on first temperature data acquired within a preset time period 1 ；
Acquiring second temperature data of an iron core of a current transformer CT, inputting the acquired second temperature data into the evaluation model, and outputting a second score F by the evaluation model based on the second temperature data acquired within a preset time period 2 The method comprises the steps of carrying out a first treatment on the surface of the The second score F 2 For characterizing the likelihood of a CT open circuit of the current transformer;
acquiring zero line current and live line current in a branch loop, inputting the acquired zero line current and live line current into the evaluation model, and outputting a third score F by the evaluation model based on the zero line current and the live line current acquired within a preset time period 3 The method comprises the steps of carrying out a first treatment on the surface of the The third score F 3 The method is used for representing the possibility of leakage of the branch circuit;
based on
Obtaining an evaluation total score; wherein n is a weight coefficient; n is the total evaluation score;
obtaining a scoring interval based on the evaluation total score; the scoring interval comprises a first interval, a second interval and a third interval; the value in the first interval is greater than the value in the second interval; the value in the second interval is greater than the value in the third interval; the method comprises the steps of,
and generating early warning actions corresponding to the scoring intervals in the monitoring terminal based on the scoring intervals.
2. The branch circuit health state evaluation method according to claim 1, wherein generating an early warning action corresponding to the scoring section in a terminal based on the scoring section comprises:
when the scoring interval is a first interval, generating a prompt box in the monitoring terminal; generating a first control after the prompt box is clicked; the first control is displayed with prompt information corresponding to the evaluation total score;
when the scoring interval is a second interval, generating a second control in the monitoring terminal; displaying the second control in a display area of a display screen of the monitoring terminal at intervals of a first duration; the second control is displayed with prompt information corresponding to the evaluation total score;
when the scoring interval is a third interval, generating a third control in the monitoring terminal; and the third control is filled in the display area of the display screen of the monitoring terminal, and prompt information corresponding to the total evaluation score is displayed in the third control.
3. The method for evaluating the health status of a branch circuit according to claim 2, further comprising, after generating a third control in the monitoring terminal:
judging whether the first score is larger than a first reference score; if yes, judging the data to be abnormal data;
judging whether the first temperature data is larger than a first reference temperature or not; if yes, judging the data to be abnormal data;
judging whether the second score is greater than a second reference score; if yes, judging the data to be abnormal data;
judging whether the second temperature data is larger than a second reference temperature or not; if yes, judging the data to be abnormal data;
judging whether the third score is greater than a third reference score; if yes, judging the data to be abnormal data; the method comprises the steps of,
and after the third control is clicked, displaying all the data which are judged to be abnormal data in the third control.
4. A branch circuit health status assessment method according to claim 3, further comprising, after generating a third control in said monitoring terminal:
judging whether the third control is clicked within the second time period; if not, sending a control signal to the warning equipment; the warning device is arranged beside the monitoring terminal; the control signal is used for triggering the warning device to send out an alarm.
5. The branch circuit health status assessment method of claim 4, further comprising:
drawing a first curve based on the acquired first temperature data;
based on the obtained first score F 1 Drawing a second curve;
drawing a third curve based on the acquired second temperature data;
based on the second score F obtained 2 Drawing a fourth curve;
drawing a fifth curve based on the obtained zero line current;
drawing a sixth curve based on the acquired live wire current;
based on the third score F obtained 3 Drawing a seventh curve; the method comprises the steps of,
uploading the drawn first curve, second curve, third curve, fourth curve, fifth curve, sixth curve and seventh curve to the cloud.
6. The method for evaluating the health status of a branch circuit according to claim 5, wherein the training method for the evaluation model comprises:
acquiring a plurality of historical data of the branch loop in an abnormal state;
acquiring first temperature data and first scoring data in historical data, normalizing the first temperature data and the first scoring data, and then putting the first scoring data and the first temperature data into a constructed temperature characteristic data set to obtain a first training set;
acquiring second temperature data and second scoring data in the historical data, normalizing the second temperature data and the second scoring data, and then placing the second temperature data and the second scoring data in the constructed CT open-circuit characteristic data set to obtain a second training set;
the zero line current, the live line current and the third scoring data in the historical data are obtained and are put into the constructed leakage characteristic data set after being standardized to obtain a third training set;
training the deep learning model by using the first training set to obtain a trained first evaluation submodel;
training the deep learning model by using the second training set to obtain a trained second evaluation submodel;
training the deep learning model by using the third training set to obtain a trained third evaluation sub-model;
and obtaining the evaluation model based on the first evaluation sub-model, the second evaluation sub-model and the third evaluation sub-model.
7. A branch circuit health status evaluation system, comprising:
a first processing module for: acquiring first temperature data of a circuit of a branch loop, and inputting the acquired first temperature data into a trained evaluation model; the evaluation model outputs a first score F based on first temperature data acquired within a preset time period 1 ；
A second processing module for: acquiring second temperature data of an iron core of a current transformer CT, wherein the acquired second temperature dataInputting the second temperature data into the evaluation model, and outputting a second score F based on the second temperature data acquired in the preset time period 2 The method comprises the steps of carrying out a first treatment on the surface of the The second score F 2 For characterizing the likelihood of a CT open circuit of the current transformer;
a third processing module for: acquiring zero line current and live line current in a branch loop, inputting the acquired zero line current and live line current into the evaluation model, and outputting a third score F by the evaluation model based on the zero line current and the live line current acquired within a preset time period 3 The method comprises the steps of carrying out a first treatment on the surface of the The third score F 3 The method is used for representing the possibility of leakage of the branch circuit;
a fourth processing module for: based on
Obtaining an evaluation total score; wherein n is a weight coefficient; n is the total evaluation score;
a fifth processing module for: obtaining a scoring interval based on the evaluation total score; the scoring interval comprises a first interval, a second interval and a third interval; the value in the first interval is greater than the value in the second interval; the value in the second interval is greater than the value in the third interval; the method comprises the steps of,
a sixth processing module for: and generating early warning actions corresponding to the scoring intervals in the monitoring terminal based on the scoring intervals.
8. The branch circuit health status assessment system according to claim 7, wherein generating an early warning action in the terminal corresponding to the scoring section based on the scoring section comprises:
when the scoring interval is a first interval, generating a prompt box in the monitoring terminal; generating a first control after the prompt box is clicked; the first control is displayed with prompt information corresponding to the evaluation total score;
when the scoring interval is a second interval, generating a second control in the monitoring terminal; displaying the second control in a display area of a display screen of the monitoring terminal at intervals of a first duration; the second control is displayed with prompt information corresponding to the evaluation total score;
when the scoring interval is a third interval, generating a third control in the monitoring terminal; and the third control is filled in the display area of the display screen of the monitoring terminal, and prompt information corresponding to the total evaluation score is displayed in the third control.
9. The branch circuit health assessment system of claim 8, further comprising a seventh processing module; the seventh processing module is used for: after a third control is generated in the monitoring terminal, judging whether the first score is larger than a first reference score or not; if yes, judging the data to be abnormal data; judging whether the first temperature data is larger than a first reference temperature or not; if yes, judging the data to be abnormal data; judging whether the second score is greater than a second reference score; if yes, judging the data to be abnormal data; judging whether the second temperature data is larger than a second reference temperature or not; if yes, judging the data to be abnormal data; judging whether the third score is greater than a third reference score; if yes, judging the data to be abnormal data; and displaying all the data determined to be abnormal data in the third control after the third control is clicked.
10. The branch circuit health assessment system of claim 9, wherein said system further comprises an eighth processing module; the eighth processing module is configured to: after a third control is generated in the monitoring terminal, judging whether the third control is clicked in a second duration; if not, sending a control signal to the warning equipment; the warning equipment is arranged beside the monitoring terminal; the control signal is used for triggering the warning device to send out an alarm.
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| EP1909370A1 (en) * | 2006-10-05 | 2008-04-09 | Abb Research Ltd. | Determination and use of power system sensitivities for power flow control |
| CN103020761B (en) * | 2012-12-05 | 2016-05-11 | 山东电力集团公司电力科学研究院 | A kind of power distribution network repair method based on automatic division unit and evaluation |
| CN103258256A (en) * | 2013-04-12 | 2013-08-21 | 国家电网公司 | Cable line condition monitoring multi-dimensional visual management platform |
| AU2015268091B2 (en) * | 2014-05-30 | 2019-10-31 | Landis & Gyr Pty Ltd | Electrical monitoring and evaluation process |
| CN106251040A (en) * | 2016-07-19 | 2016-12-21 | 广西电网有限责任公司电力科学研究院 | A kind of method that cable run is carried out health state evaluation |
| CN107291061B (en) * | 2017-02-22 | 2018-03-27 | 贵州北盘江电力股份有限公司董箐发电厂 | A kind of Hydropower Unit health state evaluation method based on quantitative evaluation |
| CN110716110A (en) * | 2019-10-11 | 2020-01-21 | 威胜集团有限公司 | Electrical safety detection device, detection method and intelligent socket |
| CN111126846A (en) * | 2019-12-24 | 2020-05-08 | 广东电网有限责任公司 | Method for evaluating differentiation state of overhead transmission line |
| CN111784178B (en) * | 2020-07-10 | 2022-09-13 | 西南石油大学 | Distribution transformer state evaluation method based on multi-source information fusion |
| CN114418312A (en) * | 2021-12-22 | 2022-04-29 | 黄河水利水电开发集团有限公司 | Method and system for automatically evaluating stability of hydroelectric generating set |
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