CN114838756B - Intelligent ring main unit monitoring system - Google Patents
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- CN114838756B CN114838756B CN202210328014.0A CN202210328014A CN114838756B CN 114838756 B CN114838756 B CN 114838756B CN 202210328014 A CN202210328014 A CN 202210328014A CN 114838756 B CN114838756 B CN 114838756B
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Abstract
The invention discloses an intelligent ring main unit monitoring system, and belongs to the field of electric power safety monitoring. An intelligent ring main unit monitoring system comprises an infrared light curtain group, a light source module and a light source module, wherein the infrared light curtain group is arranged in an intelligent ring main unit and used for acquiring appearance parameters of all circuits, switches and electronic elements in the ring main unit; the sensor group is installed in the intelligent ring main unit through the self-adhesive installation belt to obtain environmental parameters inside the ring main unit; the working condition access module is used for acquiring real-time working condition parameters of the intelligent ring main unit; the PC machine receives the parameters acquired by the infrared light curtain group, the sensor group and the working condition access module and compares the received parameters with set standard parameters to generate a monitoring report; the intelligent dynamic real-time tracking system can realize comprehensive and intelligent dynamic real-time tracking of the environment in the ring main unit, can realize quick positioning of failure reasons, effectively improves the running safety of the ring main unit and reduces loss.
Description
Technical Field
The invention belongs to the field of electric power safety monitoring, and particularly relates to an intelligent ring main unit monitoring system.
Background
The Ring Main Unit (Ring Main Unit) is a group of electric equipment (high-voltage switch equipment) which is arranged in a metal or nonmetal insulating cabinet body or is made into an assembled interval Ring Main power supply Unit, the core part of the Ring Main Unit adopts a load switch and a fuse, has the advantages of simple structure, small volume, low price, capability of improving power supply parameters and performance, power supply safety and the like, and is widely used in distribution stations and box-type substations of load centers of urban residential districts, high-rise buildings, large public buildings, factory enterprises and the like.
In order to meet the requirements of the intelligent power distribution network, the intelligent ring main unit is produced at the same time. The monitoring of internal environment is generally realized by only relying on a sensor group in the current intelligent ring main unit, and the following defects generally exist:
1) The monitoring of the internal environment is not comprehensive, the appearance and the state of each circuit, switch and electronic element in the ring main unit are invisible, and a large potential safety hazard exists;
2) The rapid positioning of the fault causes cannot be realized;
3) The installation position of the sensor group is limited, the accuracy of the monitoring result is influenced to a certain extent, and the installation process is complicated;
4) The execution of the abnormal condition of the ring main unit has no priority, which easily causes the deterioration of the bad condition.
Disclosure of Invention
The technical problem to be solved by the invention is to provide an intelligent ring main unit monitoring system, which can realize comprehensive and intelligent dynamic real-time tracking of the environment in the ring main unit, can realize quick positioning of fault reasons, effectively improves the running safety of the ring main unit and reduces loss.
The invention discloses an intelligent ring main unit monitoring system, which comprises
The infrared light curtain group is arranged in the intelligent ring main unit and used for acquiring appearance parameters of all circuits, switches and electronic elements in the ring main unit;
the sensor group is installed in the intelligent ring main unit through a self-adhesive installation belt to acquire environmental parameters inside the ring main unit;
the working condition access module is used for acquiring real-time working condition parameters of the intelligent ring main unit; and
and the PC machine is used for receiving the parameters acquired by the infrared light curtain group, the sensor group and the working condition access module and comparing the received parameters with the set standard parameters to generate a monitoring report.
As a further improvement of the invention, the infrared light curtain group emits infrared light to form a cubic light curtain column, and the cubic light curtain column covers the inside of the intelligent ring main unit to obtain the appearance parameters of each circuit, switch and electronic element in the ring main unit; the infrared light curtain group is electrically connected with the PC to feed back the acquired appearance parameters to the PC.
As a further improvement of the invention, the PC determines whether any one of the circuit, the switch and the electronic element in the ring main unit is abnormal according to the appearance parameters acquired by the infrared light curtain group; the abnormality includes at least one of a difference between a spatial position and a set position, a difference between an external size and a set size, or a difference between an external shape and a set shape.
As a further improvement of the invention, the self-adhesive mounting strip comprises a metal hose, a negative pressure sucker and a sensor mounting box; the number of the negative pressure suckers is two, and the negative pressure suckers are respectively arranged at two ends of the metal hose; the sensor mounting box comprises a box body and a movable cover; the box body is hollow and is internally provided with a sensor; the movable cover is hollow and is connected to the upper side of the box body through threads.
As a further improvement of the invention, the PC comprises:
the evaluation module is used for storing the standard parameters as comparison objects of the acquired parameters;
the evaluation result monitoring module is used for comparing the parameters acquired by the infrared light curtain group or the sensor group or the working condition access module with the standard parameters, evaluating whether the acquired parameters fall into the abnormal threshold value or not, and formulating the grade of the evaluation result according to the degree of the difference between the acquired parameters and the standard parameters;
the abnormity analysis module is used for analyzing an abnormity reason and exporting related responsible personnel information aiming at the acquired parameters falling into the abnormity threshold value;
the maintenance measure making module is used for making corresponding maintenance measures according to the abnormal reasons at the analysis position and making up and generating a maintenance task of the intelligent ring main unit; and
and the monitoring report generation module is used for generating and exporting the monitoring report.
As a further improvement of the invention, the monitoring report comprises appearance parameters of circuits, switches and electronic elements in the ring main unit within the monitoring time period, internal environment parameters of the ring main unit, real-time working condition parameters of the intelligent ring main unit, evaluation results of the parameters, grade of the evaluation results, and execution completion conditions of maintenance tasks of the intelligent ring main unit and the intelligent ring main unit.
As a further improvement of the invention, the working steps of the PC machine comprise:
s1, on the basis of a data mining model, a characteristic parameter needing to be evaluated is mined by an evaluation result monitoring module, wherein the characteristic parameter comprises a current power grid operation environment parameter, a source parameter of abnormal information, an abnormal index and an index value, and a related index name and index value parameter; the current power grid operating environment parameters comprise: grid voltage, grid current and grid state quantity information; the source parameters of the exception information include: parameters of abnormal lines or switches or electronic elements and configuration parameters of abnormal monitoring sections;
s2, based on the characteristic parameters, an abnormality analysis module performs abnormality analysis, and based on the Bi-LSTM + Attention model, specific reasons of abnormality and related responsible personnel information are obtained according to source parameters, abnormal indexes and index values of abnormal information and associated index names and index value parameters;
and S3, generating corresponding power grid abnormal maintenance measures by the maintenance measure making module based on the current power grid operation environment parameters, the source parameters of the abnormal information, the specific reasons of the abnormal occurrence and the related responsible personnel information.
As a further improvement of the method, the data mining model is constructed by utilizing historical power grid abnormal information big data training; each characteristic parameter has a corresponding data mining model; the data mining model is respectively used for mining current power grid operation environment parameters, source parameters of abnormal information, abnormal indexes and index values, and associated index names and index value parameters.
As a further improvement of the invention, the maintenance measure making module carries out grade evaluation on the maintenance measures according to the severity of the abnormal condition, obtains the priority of each maintenance measure according to the evaluation result, and realizes the distribution of the abnormal maintenance tasks of the power grid and the sequencing of the execution time based on the priority.
As a further improvement of the invention, the establishment of the priority of the maintenance measure comprises the following steps:
s31, constructing a power grid abnormal operation simulation analysis model based on Tableau Desktop according to current power grid configuration parameters, power grid operation environment parameters, source parameters of abnormal information, abnormal indexes and index values, and associated index names and index value parameters;
s32, establishing incidence relations among all parameters on the power grid abnormal operation simulation analysis model, and inserting a corresponding data mining model into the power grid abnormal operation simulation analysis model based on the incidence relations; each parameter is configured with a data mining model set, and the data mining model is used for calculating and acquiring a theoretical value of the current parameter according to a certain known parameter or parameters;
s33, acquiring numerical values of one or more parameters on the corresponding power grid abnormal operation simulation analysis model based on the power grid abnormal maintenance measures, so as to acquire theoretical values corresponding to all the parameters and realize the simulation execution of the power grid abnormal maintenance measures; during analysis, the system awakens the data mining model corresponding to other parameters according to one or more input parameters, so that theoretical values corresponding to other parameters are calculated and obtained and displayed at the position corresponding to the power grid abnormal operation simulation analysis model; other data mining models are all in a dormant state at the moment;
and S34, judging the severity of the abnormal situation according to the execution difficulty and the execution time length of the analysis result, performing grade evaluation on the maintenance measures, acquiring the priority of each maintenance measure according to the evaluation result, and realizing distribution of power grid abnormal maintenance tasks and sequencing of execution time based on the priority.
Compared with the prior art, the invention has the beneficial effects that:
the invention can realize comprehensive, intelligent and dynamic real-time tracking of the environment in the ring main unit, can realize quick positioning of fault reasons, effectively improves the running safety of the ring main unit and reduces meaningless loss.
The invention can realize the quick installation and replacement of the sensor group, simultaneously broadens the installation range of the sensor group, enlarges the coverage of the monitoring range and improves the accuracy of the monitoring result;
the invention can realize the visualization of the shapes and the states of all lines, switches and electronic elements in the ring main unit, thereby discovering the abnormality of the shapes and the states of all lines, switches and electronic elements in time and processing the abnormality in time before danger occurs so as to avoid generating unwarranted loss.
Drawings
FIG. 1 is a system block diagram of a first embodiment of the present invention;
FIG. 2 is a flow chart of a second embodiment of the present invention;
fig. 3 is a flowchart of a third embodiment of the present invention.
Detailed Description
The first embodiment is as follows: please refer to fig. 1, an intelligent ring main unit monitoring system includes: the system comprises an infrared light curtain group, a sensor group, a working condition access module and a PC.
The infrared light curtain group emits infrared rays to form a cubic light curtain column, and the cubic light curtain column covers the inside of the intelligent ring main unit to obtain appearance parameters of each circuit, switch and electronic element in the ring main unit; the infrared light curtain group is electrically connected with the PC to feed back the acquired appearance parameters to the PC.
The sensor group is installed in the intelligent ring main unit through a self-adhesive installation belt to obtain environmental parameters inside the ring main unit; the self-adhesive mounting tape comprises a metal hose, a negative pressure sucker and a sensor mounting box; the number of the negative pressure suckers is two, and the negative pressure suckers are respectively arranged at two ends of the metal hose; the sensor mounting box comprises a box body and a movable cover; the box body is hollow and is internally provided with a sensor; the movable cover is hollow and is connected to the upper side of the box body through threads.
The working condition access module acquires real-time working condition parameters of the intelligent ring main unit.
The PC machine judges whether any one of a line, a switch and an electronic element in the ring main unit is abnormal or not according to the appearance parameters acquired by the infrared light curtain group; the abnormity comprises at least one of different spatial positions from the set positions, different appearance sizes from the set sizes or different appearance shapes from the set shapes, and the received parameters are compared with the set standard parameters to generate a monitoring report.
The PC machine includes:
the evaluation module is used for storing the standard parameters as comparison objects of the acquired parameters;
the evaluation result monitoring module is used for comparing the parameters acquired by the infrared light curtain group, the sensor group and the working condition access module with the standard parameters, evaluating whether the acquired parameters fall into an abnormal threshold value or not, and establishing the grade of the evaluation result according to the difference degree of the acquired parameters and the standard parameters;
the abnormity analysis module is used for analyzing an abnormity reason and exporting related responsible personnel information aiming at the acquired parameters falling into the abnormity threshold value;
the maintenance measure formulating module is used for formulating corresponding maintenance measures according to the abnormal reasons at the analysis position and formulating and generating maintenance tasks of the intelligent ring main unit; and
and the monitoring report generating module generates and derives a monitoring report.
The monitoring report comprises appearance parameters of circuits, switches and electronic elements in the ring main unit in the monitoring time period, internal environment parameters of the ring main unit, real-time working condition parameters of the intelligent ring main unit, evaluation results of the parameters, grades of the evaluation results, and execution completion conditions of maintenance tasks of the intelligent ring main unit and the intelligent ring main unit.
The second concrete embodiment: referring to fig. 2, in an intelligent ring main unit monitoring system, on the basis of the first embodiment, the working steps of the PC include:
s1, on the basis of a data mining model, a characteristic parameter needing to be evaluated is mined by an evaluation result monitoring module, wherein the characteristic parameter comprises a current power grid operation environment parameter, a source parameter of abnormal information, an abnormal index and an index value, and a related index name and index value parameter; the current power grid operating environment parameters include: grid voltage, grid current and grid state quantity information; the source parameters of the exception information include: parameters of the abnormal line or switch or electronic element and configuration parameters of the abnormal monitoring section;
s2, based on the characteristic parameters, an abnormality analysis module performs abnormality analysis, and based on a Bi-LSTM + Attention model, specific reasons of abnormality and related responsible personnel information are obtained according to source parameters, abnormal indexes and index values of abnormal information and associated index name and index value parameters;
and S3, generating corresponding power grid abnormal maintenance measures by the maintenance measure making module based on the current power grid operation environment parameters, the source parameters of the abnormal information, the specific reasons of the abnormal occurrence and the related responsible personnel information.
The data mining model is constructed by utilizing historical power grid abnormal information big data training; each characteristic parameter has a corresponding data mining model; the data mining model is respectively used for mining current power grid operation environment parameters, source parameters of abnormal information, abnormal indexes and index values, and associated index names and index value parameters.
In addition, the maintenance measure making module carries out grade evaluation on the maintenance measures according to the severity of the abnormal condition, obtains the priority of each maintenance measure according to the evaluation result, and realizes the distribution of the abnormal maintenance tasks of the power grid and the sequencing of the execution time based on the priority.
The grading criteria for severity, from heavy to light, are: an abnormal condition harmful to the environment, an abnormal condition affecting whether the power is on or not, an abnormal condition affecting the stability of the power voltage or current, and an abnormal condition affecting the practical life of the component.
The third concrete example: referring to the intelligent ring main unit monitoring system shown in fig. 3, on the basis of the second embodiment, the establishment of the priority of the maintenance measure includes the following steps:
s31, constructing a power grid abnormal operation simulation analysis model based on Tableau Desktop according to current power grid configuration parameters, power grid operation environment parameters, source parameters of abnormal information, abnormal indexes and index values, and associated index names and index value parameters;
s32, establishing incidence relations among all parameters on the power grid abnormal operation simulation analysis model, and inserting a corresponding data mining model into the power grid abnormal operation simulation analysis model based on the incidence relations; each parameter is configured with a data mining model set, and the data mining model is used for calculating and acquiring a theoretical value of the current parameter according to a certain known parameter or parameters;
s33, acquiring numerical values of one or more parameters on the corresponding power grid abnormal operation simulation analysis model based on the power grid abnormal maintenance measures, thereby acquiring theoretical values corresponding to all the parameters and realizing the simulation execution of the power grid abnormal maintenance measures; during analysis, the system awakens the data mining model corresponding to other parameters according to one or more input parameters, so that theoretical values corresponding to other parameters are calculated and obtained and displayed at the position corresponding to the power grid abnormal operation simulation analysis model; other data mining models are all in a dormant state at the moment;
and S34, judging the severity of the abnormal situation according to the execution difficulty and the execution time length of the analysis result, carrying out grade evaluation on the maintenance measures, acquiring the priority of each maintenance measure according to the evaluation result, and realizing distribution of the abnormal maintenance tasks of the power grid and sequencing of the execution time based on the priority.
Claims (7)
1. The utility model provides an intelligence looped netowrk cabinet monitored control system which characterized in that: comprises that
The infrared light curtain group is arranged in the intelligent ring main unit and used for acquiring appearance parameters of all circuits, switches and electronic elements in the ring main unit;
the sensor group is installed in the intelligent ring main unit through a self-adhesive installation belt to acquire environmental parameters inside the ring main unit;
the working condition access module is used for acquiring real-time working condition parameters of the intelligent ring main unit; the PC machine is used for receiving the parameters acquired by the infrared light curtain group, the sensor group and the working condition access module and comparing the received parameters with the set standard parameters to generate a monitoring report; the PC machine includes:
the evaluation module is used for storing the standard parameters as comparison objects of the acquired parameters;
the evaluation result monitoring module is used for comparing the parameters acquired by the infrared light curtain group or the sensor group or the working condition access module with the standard parameters, evaluating whether the acquired parameters fall within the abnormal threshold value or not, and establishing the grade of the evaluation result according to the difference degree of the acquired parameters and the standard parameters;
the abnormity analysis module is used for analyzing an abnormity reason and exporting related responsible personnel information aiming at the acquired parameters falling into the abnormity threshold value;
the maintenance measure making module is used for making corresponding maintenance measures according to the abnormal reasons at the analysis position and making up and generating a maintenance task of the intelligent ring main unit; and
the monitoring report generating module generates and exports a monitoring report;
the maintenance measure formulation module performs grade evaluation on the maintenance measures according to the severity of the abnormal condition, acquires the priority of each maintenance measure according to the evaluation result, and realizes the distribution of the abnormal maintenance tasks of the power grid and the sequencing of the execution time based on the priority;
the establishment of the maintenance measure priority comprises the following steps:
s31, constructing a power grid abnormal operation simulation analysis model based on Tableau Desktop according to current power grid configuration parameters, power grid operation environment parameters, source parameters of abnormal information, abnormal indexes and index values, and associated index names and index value parameters;
s32, establishing incidence relations among all parameters on the power grid abnormal operation simulation analysis model, and inserting a corresponding data mining model into the power grid abnormal operation simulation analysis model based on the incidence relations; each parameter is configured with a data mining model set, and the data mining model is used for calculating and acquiring a theoretical value of the current parameter according to a certain known parameter or parameters;
s33, acquiring numerical values of one or more parameters on the corresponding power grid abnormal operation simulation analysis model based on the power grid abnormal maintenance measures, thereby acquiring theoretical values corresponding to all the parameters and realizing the simulation execution of the power grid abnormal maintenance measures; during analysis, the system awakens the data mining model corresponding to other parameters according to one or more input parameters, so that theoretical values corresponding to other parameters are calculated and obtained and displayed at the position corresponding to the power grid abnormal operation simulation analysis model; other data mining models are all in a dormant state at the moment;
and S34, judging the severity of the abnormal situation according to the execution difficulty and the execution time length of the analysis result, performing grade evaluation on the maintenance measures, acquiring the priority of each maintenance measure according to the evaluation result, and realizing distribution of power grid abnormal maintenance tasks and sequencing of execution time based on the priority.
2. The intelligent ring main unit monitoring system according to claim 1, wherein: the infrared light curtain group emits infrared rays to form a cubic light curtain column, and the cubic light curtain column covers the inside of the intelligent ring main unit to obtain appearance parameters of all circuits, switches and electronic elements in the ring main unit; the infrared light curtain group is electrically connected with the PC to feed back the acquired appearance parameters to the PC.
3. The intelligent ring main unit monitoring system according to claim 1, wherein: the PC machine judges whether any one of a line, a switch and an electronic element in the ring main unit is abnormal or not according to the appearance parameters acquired by the infrared light curtain group; the abnormality includes at least one of a spatial position different from a set position, an external size different from a set size, or an external shape different from a set shape.
4. The intelligent ring main unit monitoring system according to claim 1, wherein: the self-adhesive mounting tape comprises a metal hose, a negative pressure sucker and a sensor mounting box; the number of the negative pressure suckers is two, and the negative pressure suckers are respectively arranged at two ends of the metal hose; the sensor mounting box comprises a box body and a movable cover; the box body is hollow and is internally provided with a sensor; the movable cover is hollow and is connected to the upper side of the box body through threads.
5. The intelligent ring main unit monitoring system according to claim 1, wherein: the monitoring report comprises appearance parameters of circuits, switches and electronic elements in the ring main unit in the monitoring time period, internal environment parameters of the ring main unit, real-time working condition parameters of the intelligent ring main unit, evaluation results of the parameters, grades of the evaluation results, and execution completion conditions of maintenance tasks of the intelligent ring main unit and the intelligent ring main unit.
6. The intelligent ring main unit monitoring system according to claim 1, wherein: the working steps of the PC machine comprise:
s1, on the basis of a data mining model, a characteristic parameter needing to be evaluated is mined by an evaluation result monitoring module, wherein the characteristic parameter comprises a current power grid operation environment parameter, a source parameter of abnormal information, an abnormal index and an index value, and a related index name and index value parameter; the current power grid operating environment parameters include: grid voltage, grid current and grid state quantity information; the source parameters of the exception information include: parameters of the abnormal line or switch or electronic element and configuration parameters of the abnormal monitoring section;
s2, based on the characteristic parameters, an abnormality analysis module performs abnormality analysis, and based on the Bi-LSTM + Attention model, specific reasons of abnormality and related responsible personnel information are obtained according to source parameters, abnormal indexes and index values of abnormal information and associated index names and index value parameters;
and S3, generating corresponding power grid abnormal maintenance measures by the maintenance measure making module based on the current power grid operation environment parameters, the source parameters of the abnormal information, the specific reasons of the abnormal occurrence and the related responsible personnel information.
7. The intelligent ring main unit monitoring system according to claim 6, wherein: the data mining model is constructed by utilizing historical power grid abnormal information big data training; each characteristic parameter has a corresponding data mining model; the data mining model is respectively used for mining current power grid operation environment parameters, source parameters of abnormal information, abnormal indexes and index values, and associated index names and index value parameters.
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| CN108780528A (en) * | 2016-09-01 | 2018-11-09 | 富士电机株式会社 | Equipment management device, equipment management system, program and device management method |
| CN109034585A (en) * | 2018-07-18 | 2018-12-18 | 国网湖北省电力有限公司 | Become relationship distinguished number and system based on the family Tai Qu in power information and geographical location |
| CN109992600A (en) * | 2019-03-28 | 2019-07-09 | 佛山市百斯特电器科技有限公司 | A kind of response method and equipment of equipment fault |
| CN110046145A (en) * | 2019-04-02 | 2019-07-23 | 国网安徽省电力有限公司 | Expert intelligence Analysis Service platform based on electric flux big data research |
| CN111578999A (en) * | 2020-05-25 | 2020-08-25 | 东北电力大学 | Integrated information monitoring system of ring main unit |
| CN111578853A (en) * | 2020-05-27 | 2020-08-25 | 呼伦贝尔学院 | Method for predicting height of roof fall hidden danger of repeated mining roadway in mining area |
| CN111709668A (en) * | 2020-07-07 | 2020-09-25 | 广西电网有限责任公司 | Power grid equipment parameter risk identification method and device based on data mining technology |
| CN112348339A (en) * | 2020-10-28 | 2021-02-09 | 国网信通亿力科技有限责任公司 | Power distribution network planning method based on big data analysis |
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