CN117526562A - Auxiliary equipment monitoring system of electric power internet of things substation - Google Patents

Auxiliary equipment monitoring system of electric power internet of things substation Download PDF

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Publication number
CN117526562A
CN117526562A CN202311494940.6A CN202311494940A CN117526562A CN 117526562 A CN117526562 A CN 117526562A CN 202311494940 A CN202311494940 A CN 202311494940A CN 117526562 A CN117526562 A CN 117526562A
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China
Prior art keywords
index
auxiliary equipment
substation
equipment
preset time
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CN202311494940.6A
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Chinese (zh)
Inventor
徐康
薛峰
刘则庆
王宏岭
朱干彬
李雷
潘红艺
李博
宋效贤
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Wobei Coal Preparation Plant Of Huaibei Mining Co ltd
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Wobei Coal Preparation Plant Of Huaibei Mining Co ltd
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Priority to CN202311494940.6A priority Critical patent/CN117526562A/en
Publication of CN117526562A publication Critical patent/CN117526562A/en
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    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J13/00Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
    • H02J13/00002Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by monitoring
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02BBOARDS, SUBSTATIONS OR SWITCHING ARRANGEMENTS FOR THE SUPPLY OR DISTRIBUTION OF ELECTRIC POWER
    • H02B1/00Frameworks, boards, panels, desks, casings; Details of substations or switching arrangements
    • H02B1/24Circuit arrangements for boards or switchyards
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J13/00Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
    • H02J13/00001Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by the display of information or by user interaction, e.g. supervisory control and data acquisition systems [SCADA] or graphical user interfaces [GUI]
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J13/00Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
    • H02J13/00032Systems characterised by the controlled or operated power network elements or equipment, the power network elements or equipment not otherwise provided for
    • H02J13/00034Systems characterised by the controlled or operated power network elements or equipment, the power network elements or equipment not otherwise provided for the elements or equipment being or involving an electric power substation

Abstract

The invention provides an auxiliary equipment monitoring system of an electric power Internet of things substation, which belongs to the field of substations and comprises an information acquisition unit, a total analysis and assessment unit, an information storage module and a state display unit; the total analysis and assessment unit analyzes the environmental information of the transformer substation and the equipment working information to obtain corresponding indexes, and generates corresponding strategies according to the corresponding indexes. According to the system, a transformer substation supervisor only needs to check the state display unit through the electric power internet of things, so that the workload of manual inspection and maintenance is reduced, the rules and trends of the operation, environmental change and animal activities of auxiliary equipment of the transformer substation are dataized, and the possible problems are predicted by observing the corresponding indexes; the comprehensive execution unit links the corresponding strategy with the corresponding equipment, executes the strategy analyzed by the system, can process the factors such as environment, equipment or animals in time, improves the intelligent level and the automation level of the whole transformer substation, and ensures the safety of the transformer substation.

Description

Auxiliary equipment monitoring system of electric power internet of things substation
Technical Field
The invention belongs to the field of substations, and particularly relates to an auxiliary equipment monitoring system of an electric power Internet of things substation.
Background
Along with the development of society, the expansion of production scale and the continuous improvement of automation degree of various industries, the electric energy demand is larger and larger, the continuous expansion of the power grid scale is promoted, and meanwhile, the requirements on the safety and the reliability of power supply of the power grid are higher and higher. The transformer substation is used as a physical connection point for electric energy transmission and redistribution, and the safety and reliability of the transformer substation are key for ensuring the stable operation of a power grid. The intelligent transformer substation is developed, and the standard access of auxiliary equipment such as on-line monitoring, fire protection, safety precaution, environmental monitoring, SF6 monitoring, illumination control and the like of the transformer substation is required according to the specific conditions and requirements of a power system, so that the purposes of unattended operation and centralized monitoring of auxiliary information are achieved. The method is developed to the direction of automation, synthesis, centralization and intellectualization gradually, and provides powerful technical support for promoting the management of the power grid.
With the development of intelligent substations, the introduction of artificial intelligence technology in substation auxiliary systems is becoming wider, for example, data analysis and fault diagnosis are performed on substation environment information and equipment working information by using a program writing algorithm, and self-operation or alarm processing is performed by using a corresponding equipment controller so as to regulate and control fault equipment or substation environment. The monitoring system of the auxiliary equipment of the transformer substation in the prior art lacks the functions, and if environmental factors, animals or equipment are not processed timely, normal operation of the transformer substation can be affected, and the requirements of the intelligent transformer substation cannot be met. Therefore, we propose a monitoring system for auxiliary equipment of an electric power internet of things substation, so as to solve the problems encountered in the above.
Disclosure of Invention
Aiming at the defects in the prior art, the invention provides an auxiliary equipment monitoring system of an electric power Internet of things substation, which aims to solve the problems that if environmental factors, animals or equipment are not processed timely, normal operation of the substation is affected and the requirements of an intelligent substation cannot be met in the background art.
The aim of the invention can be achieved by the following technical scheme: the system comprises an information acquisition unit, an information summarizing module, a summarizing analysis and evaluation unit, an information storage module, a state display unit and a calling unit;
the information acquisition unit acquires environmental information and equipment working information of the transformer substation through the sensing module and the video image monitoring module;
the information summarizing module transmits the environmental information of the transformer substation and the equipment working information to a summarizing analysis and assessment unit;
the total analysis and evaluation unit comprises an environmental state analysis module, an equipment state analysis module, a week area state analysis module and a comprehensive evaluation module; the method is used for analyzing the environmental information and the equipment working information of the transformer substation to obtain an environmental abnormality index, a driving state index, an animal influence index and a comprehensive abnormality index, and generating a corresponding strategy according to the corresponding index, and specifically comprises the following steps:
The environment state analysis module is used for analyzing the humidity, the gas and the liquid level of the substation auxiliary equipment within a certain range in a preset time zone to obtain an abnormal evaluation index corresponding to the humidity, the gas and the liquid level corresponding to the substation auxiliary equipment within a certain range; calculating abnormality assessment indexes corresponding to humidity, liquid level and gas to obtain environment abnormality indexes;
the equipment state analysis module is used for analyzing sound, temperature and current and voltage signals of auxiliary equipment of the transformer substation in a preset time zone to obtain a driving state index of the corresponding auxiliary equipment of the transformer substation;
the week area state analysis module is used for analyzing monitoring videos of the substation auxiliary equipment and the connecting line in a certain range in a preset time zone to obtain animal influence indexes corresponding to the substation auxiliary equipment and the connecting line in the preset time zone;
the comprehensive evaluation module is used for comprehensively analyzing the environmental abnormality index, the driving state index and the animal influence index in the preset time zone to obtain a transformer substation comprehensive abnormality index corresponding to the preset time zone;
the comprehensive execution unit is used for receiving the corresponding strategy and performing corresponding execution operation;
The summarizing and classifying analysis unit is also used for receiving equipment early warning information, animal early warning information and environment early warning information, recording corresponding early warning time periods, comparing the corresponding early warning time periods of any early warning information with an early warning time period threshold value, and if the corresponding early warning time periods of any early warning information are longer than the early warning time period threshold value, sending the corresponding early warning information and the corresponding equipment information to maintenance personnel; the maintenance personnel carry out inspection according to the corresponding early warning information and the corresponding equipment information;
the information storage module is used for storing the environment information and equipment working information of the transformer substation, the environment abnormality index, the driving state index, the animal influence index, the comprehensive abnormality index and the execution result in a preset time zone;
the state display unit is used for displaying the environment abnormality index, the driving state index, the animal influence index and the comprehensive abnormality index which correspond to the preset time zone in the form of image data strips according to the set corresponding threshold; image display is carried out on the calling state and the equipment information in real time; the device information comprises a corresponding device state, a device name, a position address and a number, and is displayed in a form of a table; dividing the display area of the image data strip into three areas by taking the maximum value and the minimum value of the corresponding indexes with the set corresponding threshold values as separation lines, and matching the three areas with three colors; the three areas are respectively corresponding to green, yellow and red from left to right; and displaying the region where the corresponding index is located in the corresponding color, and displaying the image data strip.
As a preferred embodiment of the present invention, the peri-zone state analysis module is configured to analyze a monitoring video of a certain range of substation auxiliary equipment and a corresponding connection line in a preset time zone, and the specific analysis process is as follows:
acquiring monitoring videos of substation auxiliary equipment and a certain range of a corresponding connecting line in a preset time zone, identifying the monitoring videos of the small animals, editing the monitoring videos into video clips, and marking the video clips as animal presence clips;
acquiring the number of the moving animals and the video duration of the corresponding animal presence segment from the animal presence segment, and marking the nearest distances between the moving animals and the auxiliary equipment and the corresponding connection lines as interval distances to be AN1, AN2 and AN3 respectively; calculate AN1, AN2 and AN3Obtaining AN animal influence index AN corresponding to the substation auxiliary equipment and the corresponding connecting line in a preset time zone i The method comprises the steps of carrying out a first treatment on the surface of the Wherein AN i The method comprises the steps of representing animal influence indexes corresponding to substation auxiliary equipment and connecting lines in an ith preset time zone, wherein a1, a2 and a3 respectively represent weight influence factors corresponding to the number of active animals, video duration and the nearest interval distance between the active animals and the auxiliary equipment and the weight influence factors corresponding to the nearest interval distance between the active animals and the animal influence factors corresponding to the nearest interval distance between the active animals and the auxiliary equipment and the animal influence factors corresponding to the animal influence factors;
And comparing the animal influence index with a set corresponding threshold value, if the animal influence index is smaller than the set corresponding threshold value, not performing any operation, if the animal influence index is within the set corresponding threshold value, generating animal early warning information, and if the animal influence index is larger than the set corresponding threshold value, generating an animal driving strategy.
As a preferred embodiment of the present invention, the device status analysis module is configured to analyze sound, temperature, current and voltage signals of the substation auxiliary device in a preset time zone, where a specific analysis process is as follows:
acquiring abnormal sound times, abnormal sound levels and abnormal sound duration of auxiliary equipment of a transformer substation in a preset time zone, and marking the abnormal sound times, the abnormal sound levels and the abnormal sound duration as SO1. SO2, SO3; calculating SO1, SO2 and SO3Obtaining an audible abnormality assessment index SO of substation auxiliary equipment in a preset time zone i The method comprises the steps of carrying out a first treatment on the surface of the Wherein SO i The method comprises the steps of representing a sound abnormality assessment index of substation auxiliary equipment in an ith preset time zone, wherein b1, b2 and b3 respectively represent weight influence factors corresponding to abnormal sound times, abnormal sound levels and abnormal sound duration of the substation auxiliary equipment;
acquiring a temperature peak, the times of the temperature peak and the time length of the temperature peak of auxiliary equipment of the transformer substation in a preset time zone, and marking the temperature peak as TE1, TE2 and TE3 respectively; calculating TE1, TE2 and TE3 Obtaining a temperature abnormality assessment index TE of substation auxiliary equipment in a preset time zone i The method comprises the steps of carrying out a first treatment on the surface of the Wherein TE is i Showing the temperature abnormality assessment index of the auxiliary equipment of the transformer substation in the ith preset time zone, wherein c1, c2 and c3 respectively represent temperature peaks, the times of the temperature peaks and weight influence factors corresponding to the time of the temperature peaks;
acquiring signal peak values, peak value times and peak value duration of voltage and current signals of auxiliary equipment of a transformer substation in a preset time zone, and marking the signal peak values, the peak value times and the peak value duration as VA1, VA2 and VA3 respectively; calculating VA1, VA2 and VA3Obtaining a current and voltage abnormality assessment index VA of auxiliary equipment of the transformer substation in a preset time zone i The method comprises the steps of carrying out a first treatment on the surface of the Wherein, VA i The current and voltage abnormality assessment indexes of the auxiliary equipment of the transformer substation in the ith preset time zone are represented, and d1, d2 and d3 respectively represent the signal peak value, the peak value times and the weight influence factors corresponding to the peak value duration of the auxiliary equipment of the transformer substation;
calculating QD by abnormality evaluation index corresponding to sound, temperature and current voltage i =SO i ×b+TE i ×c+VA i X d to obtain the driving state index QD i The method comprises the steps of carrying out a first treatment on the surface of the Wherein, b, c and d are dividedRespectively representing correction factors corresponding to the sound abnormality assessment index, the temperature abnormality assessment index and the current-voltage abnormality assessment index; and comparing the driving state index with a set corresponding threshold value, if the driving state index is smaller than the set corresponding threshold value, not performing any operation, if the driving state index is in the set corresponding threshold value, generating equipment early warning information, and if the driving state index is larger than the set corresponding threshold value, generating equipment maintenance strategies.
As a preferred embodiment of the present invention, the environmental state analysis module analyzes humidity, gas and liquid level of the substation auxiliary equipment in a preset time zone, and the specific process is as follows:
acquiring abnormal humidity, different humidity times and different humidity time length of substation auxiliary equipment in a certain range in a preset time zone, and marking the abnormal humidity, different humidity times and different humidity time length as HU1, HU2 and HU3 respectively; calculating HU1, HU2 and HU3To obtain humidity abnormality assessment index HU within a certain range of substation auxiliary equipment in a preset time zone i The method comprises the steps of carrying out a first treatment on the surface of the Wherein HU i The method comprises the steps of representing a humidity abnormality assessment index of auxiliary equipment of a transformer substation in an ith preset time zone, wherein x1, x2 and x3 respectively represent weight influence factors corresponding to abnormal humidity, different humidity times and different humidity time periods in a certain range of the auxiliary equipment of the transformer substation;
obtaining flood peak, flood peak times and flood peak duration in a certain range of a transformer substation in a preset time zone, and marking the flood peak, the flood peak times and the flood peak duration as ST1, ST2 and ST3 respectively; calculate ST1, ST2 and ST3To obtain the liquid level abnormality assessment index ST of the transformer substation in a preset time zone i The method comprises the steps of carrying out a first treatment on the surface of the Wherein ST is i The method comprises the steps of representing liquid level abnormality assessment indexes of auxiliary equipment of a transformer substation in an ith preset time zone, wherein y1, y2 and y3 respectively represent flood peaks, flood peak times and weight influence factors corresponding to flood peak time in a certain range of the transformer substation;
Acquiring auxiliary equipment of transformer substation in preset time zone and combustible particle concentration, SF6 concentration and pairing in certain range of corresponding connecting lineLength of time, and denoted GA1, GA2, GA11, GA22, respectively; GA1, GA2, GA11 and GA22 are calculated,obtaining a smoke abnormality assessment index GA01 i ,/>Obtaining SF6 concentration abnormality assessment index GA02 i GA01 is added i 、GA02 i Calculating to obtain GAs abnormality assessment index GA i The method comprises the steps of carrying out a first treatment on the surface of the Wherein GA i The gas abnormality assessment index of the substation auxiliary equipment in the ith preset time zone is represented, and z1 and z2 respectively represent the combustible particle concentration and the corresponding duration, SF6 gas concentration and the weight influence factors corresponding to the corresponding duration in a certain range of the substation auxiliary equipment;
calculating HJ according to abnormality assessment indexes corresponding to humidity, liquid level and gas i =HU i ×x+ST i ×y+GA i X z to obtain an environmental abnormality index HJ i The method comprises the steps of carrying out a first treatment on the surface of the Wherein x, y and z respectively represent correction factors corresponding to abnormal evaluation indexes corresponding to humidity, liquid level and gas; comparing the abnormal assessment indexes corresponding to the humidity, the liquid level and the gas with the set threshold, if the abnormal assessment indexes are smaller than the set corresponding threshold, not performing any operation, if the abnormal assessment indexes are in the set corresponding threshold, generating corresponding environment early warning information, and if the abnormal assessment indexes are larger than the set corresponding threshold, generating a corresponding environment adjustment strategy.
As a preferred embodiment of the present invention, the verification module is configured to perform verification processing on the substation environment information and the equipment operation information stored in the sum-total and classification analysis unit and the information storage module; compressing environment information of a transformer substation and equipment working information in a preset time zone into a working data packet and numbering; matching the corresponding numbers of the work data packets received by the merging and classifying analysis unit and the information storage module in a preset time zone, and if a missing item appears between the corresponding numbers of the merging and classifying analysis unit and the information storage module, marking the work data packet with the corresponding number of the missing item as a missing data packet, so that the information storage module sends the missing data packet with the corresponding number to the merging and classifying analysis unit.
As a preferred embodiment of the present invention, the present invention further comprises a retrieval unit;
the invoking unit is used for receiving the equipment maintenance strategy and performing the dispatching processing operation to obtain corresponding maintenance personnel, and sending the corresponding execution strategy and the corresponding equipment information to the intelligent terminal of the maintenance personnel; and the maintenance personnel feed back the execution result to the state display unit through the intelligent terminal to display characters.
The dispatching unit carries out dispatching treatment operation, and the specific process is as follows:
Acquiring a worker checking in the current date; feeding back an information acquisition instruction to an intelligent terminal of the staff to acquire personal parameters of the staff; the personal parameters are processed to obtain the maintenance value of the staff, specifically:
acquiring the current position of the intelligent terminal corresponding to the worker, performing distance calculation on the current position and the position address in the equipment information corresponding to the execution strategy to obtain personal distance, and marking the personal distance as TG1; extracting working ages and working times of the staff in the same month from an information storage module and marking the working ages and the working times as TG2 and TG3 respectively; the personal interval, the working age and the working times of the current month are integrated into the personal parameters;
TG1, TG2, TG3 were calculated,obtaining a maintenance value TG of a worker; and marking the staff with the largest maintenance value as maintenance staff.
As a preferred embodiment of the present invention, the integrated execution unit receives the corresponding policy to perform the corresponding execution operation, specifically:
when an animal driving strategy is received, the ultrasonic wave driver works and emits ultrasonic waves corresponding to kilohertz so as to realize the driving of small animals;
when the equipment maintenance strategy is received, a maintenance person receives the equipment maintenance strategy and corresponding equipment information through the intelligent terminal to maintain the corresponding substation auxiliary equipment;
When an environmental regulation strategy is received, the environmental regulation strategy comprises a humidity regulation strategy, a gas regulation strategy and a liquid level regulation strategy; the method comprises the following steps: when a liquid level regulation strategy is received, the drainage pump starts to work to rapidly drain accumulated water in the transformer substation; when a humidity adjustment strategy is received, the humidifier/dehumidifier is operated to adjust the humidity of the area where the substation auxiliary equipment is located;
when a gas environment regulation strategy is received, the gas environment regulation strategy comprises a smoke environment regulation strategy and an SF6 environment regulation strategy; when any one of the gas environment regulation strategies is received, the exhaust fan is enabled to operate and give out alarm sound and corresponding voice prompt, and maintenance personnel receive equipment information of the corresponding strategy through the intelligent terminal to maintain the corresponding substation auxiliary equipment or the connecting line.
Compared with the prior art, the invention has the beneficial effects that:
1. according to the invention, the environment information and the equipment working information of the transformer substation are collected in real time and analyzed by the sum-up analysis and evaluation unit, the state display unit is only needed to be checked by a transformer substation supervisor through the electric power internet of things, so that the workload of manual inspection and maintenance is reduced, and the rules and trends of the operation, environment change and animal activities of the auxiliary equipment of the transformer substation are dataized, so that the possible problems are predicted by observing the corresponding indexes;
2. According to the intelligent substation management system, the corresponding strategies and the corresponding equipment are linked through the comprehensive execution unit, the strategy analyzed by the system is executed, the factors such as the environment, the equipment or animals can be processed in time, the intelligent level and the automation level of the whole substation are improved, and the safety of the substation is guaranteed;
3. according to the invention, the state display unit is used for carrying out data processing on the rules and trends of operation, environmental change and animal activities of auxiliary equipment of the transformer substation, and the rules and trends are displayed in a data strip in a numerical mode, and the approximate situation can be judged according to the color of the data strip, so that the operation of a supervisory person is facilitated.
In summary, the substation auxiliary equipment monitoring system can improve the operation reliability of equipment, reduce operation and maintenance cost, improve operation efficiency, optimize operation management, improve safety and the like, and has important significance for management and operation of a substation.
Drawings
The present invention is further described below with reference to the accompanying drawings for the convenience of understanding by those skilled in the art.
FIG. 1 is a schematic block diagram of a power Internet of things substation auxiliary equipment monitoring system of the present invention;
FIG. 2 is a schematic expanded block diagram of an auxiliary equipment monitoring system of an electric power Internet of things substation;
Fig. 3 is an equipment information diagram of a status display unit of an auxiliary equipment monitoring system of an electric power internet of things substation;
fig. 4 is an environmental status information diagram of a status display unit of the power internet of things substation auxiliary equipment monitoring system of the present invention.
Detailed Description
The technical solutions of the present invention will be clearly and completely described in connection with the embodiments, and it is obvious that the described embodiments are only some embodiments of the present invention, not all embodiments. 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.
It should be understood that the terms "comprises" and "comprising," when used in this specification and the claims, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
It is also to be understood that the terminology used in the description of the present disclosure is for the purpose of describing particular embodiments only, and is not intended to be limiting of the disclosure. As used in the specification and claims of this disclosure, the singular forms "a", "an" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It should be further understood that the term "and/or" as used in the present disclosure and claims refers to any and all possible combinations of one or more of the associated listed items, and includes such combinations.
Referring to fig. 1-4, an auxiliary equipment monitoring system of a power internet of things substation comprises an information acquisition unit, an information summarizing module, a summarizing analysis and evaluation unit, an information storage module, a state display unit and a calling unit;
the information acquisition unit acquires environmental information and equipment working information of the transformer substation through the sensing module and the video image monitoring module;
the information summarizing module transmits the environmental information of the transformer substation and the equipment working information to a summarizing analysis and assessment unit;
the total analysis and evaluation unit comprises an environmental state analysis module, an equipment state analysis module, a week area state analysis module and a comprehensive evaluation module; the method is used for analyzing the environmental information and the equipment working information of the transformer substation to obtain an environmental abnormality index, a driving state index, an animal influence index and a comprehensive abnormality index, and generating a corresponding strategy according to the corresponding index, and specifically comprises the following steps:
the environment state analysis module is used for analyzing the humidity, the gas and the liquid level of the substation auxiliary equipment in a certain range in a preset time zone to obtain an abnormal evaluation index corresponding to the humidity, the gas and the liquid level corresponding to the substation auxiliary equipment in a certain range; calculating abnormality assessment indexes corresponding to humidity, liquid level and gas to obtain environment abnormality indexes;
The equipment state analysis module is used for analyzing sound, temperature and current and voltage signals of auxiliary equipment of the transformer substation in a preset time zone to obtain a driving state index of the corresponding auxiliary equipment of the transformer substation;
the peri-zone state analysis module is used for analyzing monitoring videos of the substation auxiliary equipment and the connecting line in a certain range in a preset time zone to obtain animal influence indexes corresponding to the substation auxiliary equipment and the connecting line in the preset time zone;
the comprehensive evaluation module is used for comprehensively analyzing the environmental abnormality index, the driving state index and the animal influence index in the preset time zone to obtain a transformer substation comprehensive abnormality index corresponding to the preset time zone;
the comprehensive execution unit is used for receiving the corresponding strategy and performing corresponding execution operation;
the information storage module is used for storing the environment information of the transformer substation and the working information of equipment, the environment abnormality index, the driving state index, the animal influence index, the comprehensive abnormality index and the execution result in a preset time zone;
the state display unit is used for displaying the environment abnormality index, the driving state index, the animal influence index and the comprehensive abnormality index which correspond to the preset time zone in the form of image data strips according to the set corresponding threshold values; image display is carried out on the calling state and the equipment information in real time; the device information comprises a corresponding device state, a device name, a position address and a number, and is displayed in a form of a table; dividing the display area of the image data strip into three areas by taking the maximum value and the minimum value of the corresponding indexes with the set corresponding threshold values as separation lines, and matching the three areas with three colors; the three areas are respectively corresponding to green, yellow and red from left to right; and displaying the region where the corresponding index is located in the corresponding color, and displaying the image data strip.
In the application, the week area state analysis module is used for analyzing the monitoring video of the substation auxiliary equipment and the corresponding connecting line within a certain range in a preset time zone, and the specific analysis process is as follows:
acquiring monitoring videos of substation auxiliary equipment and a certain range of a corresponding connecting line in a preset time zone, identifying the monitoring videos of the small animals, editing the monitoring videos into video clips, and marking the video clips as animal presence clips;
acquiring the number of the moving animals and the video duration of the corresponding animal presence segment from the animal presence segment, and marking the nearest distances between the moving animals and the auxiliary equipment and the corresponding connection lines as interval distances to be AN1, AN2 and AN3 respectively; calculate AN1, AN2 and AN3Obtaining AN animal influence index AN corresponding to the substation auxiliary equipment and the corresponding connecting line in a preset time zone i The method comprises the steps of carrying out a first treatment on the surface of the Wherein AN i The method comprises the steps of representing animal influence indexes corresponding to substation auxiliary equipment and connecting lines in an ith preset time zone, wherein a1, a2 and a3 respectively represent weight influence factors corresponding to the number of active animals, video duration and the nearest interval distance between the active animals and the auxiliary equipment and the weight influence factors corresponding to the nearest interval distance between the active animals and the animal influence factors corresponding to the nearest interval distance between the active animals and the auxiliary equipment and the animal influence factors corresponding to the animal influence factors;
in the application, the equipment state analysis module is used for analyzing sound, temperature, current and voltage signals of the substation auxiliary equipment in a preset time zone, and the specific analysis process is as follows:
Acquiring abnormal sound times, abnormal sound levels and abnormal sound duration of auxiliary equipment of the transformer substation in a preset time zone, and marking the abnormal sound times, the abnormal sound levels and the abnormal sound duration as SO1, SO2 and SO3 respectively; calculating SO1, SO2 and SO3Obtaining an audible abnormality assessment index SO of substation auxiliary equipment in a preset time zone i The method comprises the steps of carrying out a first treatment on the surface of the Wherein SO i The method comprises the steps of representing a sound abnormality assessment index of substation auxiliary equipment in an ith preset time zone, wherein b1, b2 and b3 respectively represent weight influence factors corresponding to abnormal sound times, abnormal sound levels and abnormal sound duration of the substation auxiliary equipment;
acquiring a temperature peak, the times of the temperature peak and the time length of the temperature peak of auxiliary equipment of the transformer substation in a preset time zone, and marking the temperature peak as TE1, TE2 and TE3 respectively; calculating TE1, TE2 and TE3Obtaining a temperature abnormality assessment index TE of substation auxiliary equipment in a preset time zone i The method comprises the steps of carrying out a first treatment on the surface of the Wherein TE is i Showing the temperature abnormality assessment index of the auxiliary equipment of the transformer substation in the ith preset time zone, wherein c1, c2 and c3 respectively represent temperature peaks, the times of the temperature peaks and weight influence factors corresponding to the time of the temperature peaks;
acquiring signal peak value, peak value times and peak value duration of voltage and current signals of auxiliary equipment of transformer substation in preset time zone, and marking the peak value and the peak value duration respectivelyDenoted as VA1, VA2, VA3; calculating VA1, VA2 and VA3 Obtaining a current and voltage abnormality assessment index VA of auxiliary equipment of the transformer substation in a preset time zone i The method comprises the steps of carrying out a first treatment on the surface of the Wherein, VA i The current and voltage abnormality assessment indexes of the auxiliary equipment of the transformer substation in the ith preset time zone are represented, and d1, d2 and d3 respectively represent the signal peak value, the peak value times and the weight influence factors corresponding to the peak value duration of the auxiliary equipment of the transformer substation;
calculating QD by abnormality evaluation index corresponding to sound, temperature and current voltage i =SO i ×b+TE i ×c+VA i X d to obtain the driving state index QD i The method comprises the steps of carrying out a first treatment on the surface of the B, c and d respectively represent correction factors corresponding to the sound abnormality rating index, the temperature abnormality rating index and the current voltage abnormality rating index;
and comparing the driving state index with a set corresponding threshold value, if the driving state index is smaller than the set corresponding threshold value, not performing any operation, if the driving state index is in the set corresponding threshold value, generating equipment early warning information, and if the driving state index is larger than the set corresponding threshold value, generating a corresponding equipment maintenance strategy.
If no operation is performed, marking the equipment state of the corresponding substation auxiliary equipment as a normal state; if the equipment early warning information is generated, marking the equipment state of the corresponding substation auxiliary equipment as an unsafe state; if the equipment maintenance strategy is generated, marking the equipment state of the corresponding substation auxiliary equipment as a damaged state; wherein, the normal state, unsafe state and damaged state are summarized as the equipment state; and sending the equipment name and the corresponding equipment state, position address and number to a state display unit for display.
In the application, the environmental state analysis module analyzes the humidity, gas and liquid level of the substation auxiliary equipment in a preset time zone, and the specific process is as follows:
obtaining different values in a certain range of substation auxiliary equipment in a preset time zoneThe constant humidity, the number of times of different humidity and the time length of different humidity are respectively marked as HU1, HU2 and HU3; calculating HU1, HU2 and HU3To obtain humidity abnormality assessment index HU within a certain range of substation auxiliary equipment in a preset time zone i The method comprises the steps of carrying out a first treatment on the surface of the Wherein HU i The method comprises the steps of representing a humidity abnormality assessment index of auxiliary equipment of a transformer substation in an ith preset time zone, wherein x1, x2 and x3 respectively represent weight influence factors corresponding to abnormal humidity, different humidity times and different humidity time periods in a certain range of the auxiliary equipment of the transformer substation;
obtaining flood peak, flood peak times and flood peak duration in a certain range of a transformer substation in a preset time zone, and marking the flood peak, the flood peak times and the flood peak duration as ST1, ST2 and ST3 respectively; calculate ST1, ST2 and ST3To obtain the liquid level abnormality assessment index ST of the transformer substation in a preset time zone i The method comprises the steps of carrying out a first treatment on the surface of the Wherein ST is i The method comprises the steps of representing liquid level abnormality assessment indexes of auxiliary equipment of a transformer substation in an ith preset time zone, wherein y1, y2 and y3 respectively represent flood peaks, flood peak times and weight influence factors corresponding to flood peak time in a certain range of the transformer substation;
The method comprises the steps of obtaining combustible particle concentration, SF6 concentration and corresponding duration in a certain range of substation auxiliary equipment and corresponding connecting lines in a preset time zone, and marking the combustible particle concentration, SF6 concentration and corresponding duration as GA1, GA2, GA11 and GA22 respectively; GA1, GA2, GA11 and GA22 are calculated,obtaining a smoke abnormality assessment index GA01 i ,/>Obtaining SF6 concentration abnormality assessment index GA02 i GA01 is added i 、GA02 i Calculating to obtain GAs abnormality assessment index GA i The method comprises the steps of carrying out a first treatment on the surface of the Wherein GA i Gas abnormality assessment indexes z1 and z2 respectively representing auxiliary equipment of transformer substation in ith preset time zoneThe method comprises the steps of representing the combustible particle concentration and the corresponding duration of substation auxiliary equipment in a certain range, SF6 gas concentration and the weight influence factor corresponding to the corresponding duration;
calculating HJ according to abnormality assessment indexes corresponding to humidity, liquid level and gas i =HU i ×x+ST i ×y+GA i X z to obtain an environmental abnormality index HJ i The method comprises the steps of carrying out a first treatment on the surface of the Wherein x, y and z respectively represent correction factors corresponding to abnormal evaluation indexes corresponding to humidity, liquid level and gas; comparing the abnormal assessment indexes corresponding to the humidity, the liquid level and the gas with the set threshold, if the abnormal assessment indexes are smaller than the set corresponding threshold, not performing any operation, if the abnormal assessment indexes are in the set corresponding threshold, generating corresponding environment early warning information, and if the abnormal assessment indexes are larger than the set corresponding threshold, generating a corresponding environment adjustment strategy.
If no operation is performed, marking the corresponding area state as a normal state; if the environment early warning information is generated, marking the corresponding area state as a pre-treatment state; if the environment regulation strategy is generated, marking the corresponding area state as an abnormal state; the normal state, the pre-treatment state and the abnormal state are classified into the environment state, and the environment state is classified into the humidity, the liquid level or the gas environment state according to the corresponding abnormal evaluation index; and summarizing the monitoring area, the corresponding environment state and the area address into environment state information, and sending the environment state information to a state display unit for display.
As an example, if the humidity or the liquid level of the monitoring area is in an abnormal state, the display area corresponding to the environmental state is displayed as "humidity abnormality/liquid level abnormality"; if the humidity of the monitoring area is in a pre-position state and the liquid level of the monitoring area is in an abnormal state, displaying the humidity pre-position/liquid level abnormality in a display area corresponding to the environmental state; if the gas in the monitoring area is in an abnormal state, displaying the abnormal gas in the display area corresponding to the environmental state; if the gas, humidity or liquid level are in the normal state, the display area corresponding to the environmental state is displayed as normal.
In the application, the verification module is used for verifying the substation environment information and the equipment working information stored by the sum-total and classification analysis unit and the information storage module; compressing environment information of a transformer substation and equipment working information in a preset time zone into a working data packet and numbering; matching the corresponding numbers of the work data packets received by the merging and classifying analysis unit and the information storage module in a preset time zone, and if a missing item appears between the corresponding numbers of the merging and classifying analysis unit and the information storage module, marking the work data packet with the corresponding number of the missing item as a missing data packet, so that the information storage module sends the missing data packet with the corresponding number to the merging and classifying analysis unit.
It should be noted that, checking the working data packet received by the merging and classifying analysis unit and the information storage module by the verification module to ensure the integrity of the working data packet received by the merging and classifying analysis unit, so as to ensure the accuracy of the merging and classifying analysis unit in analyzing the corresponding index;
in the present application, the system further comprises a calling unit;
the invoking unit is used for receiving the equipment maintenance strategy and performing the dispatching processing operation to obtain corresponding maintenance personnel, and sending the corresponding execution strategy and the corresponding equipment information to the intelligent terminal of the maintenance personnel; the maintenance personnel feed back the execution result to the state display unit through the intelligent terminal to display characters;
It should be noted that, if the maintenance personnel actively feed back or does not complete maintenance within a specified time, the repairment information is generated, and the allocation processing operation is performed again to obtain the corresponding maintenance personnel; if the active feedback is successful in maintenance, successful maintenance information is generated; summarizing the repairment information and the successful maintenance information into an execution result; the process that the maintenance personnel go to the corresponding position of the auxiliary equipment of the corresponding transformer substation is recorded as a personnel going process; after the maintenance personnel arrive at the corresponding position address of the auxiliary equipment of the strain power station, feeding back successful arrival information and changing the state of the successful arrival information into an equipment processing process, and if successful maintenance information is received or equipment processing is not carried out; the normal state, the allocation processing operation state, the personnel going state and the equipment processing state are summarized into an allocation state; the calling state is sent to a state display unit and displayed in a graphic and text mode.
It should be noted that, the dispatching unit performs dispatching processing operation, and the specific process is:
acquiring a worker checking in the current date; feeding back an information acquisition instruction to an intelligent terminal of the staff to acquire personal parameters and corresponding working states of the staff; wherein the working state comprises an idle state and a busy state; processing personal parameters of the idle state staff to obtain maintenance values of the staff, specifically:
Acquiring the current position of the intelligent terminal corresponding to the worker, performing distance calculation on the current position and the position address in the equipment information corresponding to the execution strategy to obtain personal distance, and marking the personal distance as TG1; extracting working ages and working times of the staff in the same month from an information storage module and marking the working ages and the working times as TG2 and TG3 respectively; the personal interval, the working age and the working times of the current month are integrated into the personal parameters;
TG1, TG2, TG3 were calculated,obtaining a maintenance value TG of a worker; marking the staff with the largest maintenance value as maintenance staff; the smaller the personal distance of the staff is, the more the working times of the month are far from 30 and the working age is greater, the greater the maintenance value is, which means that the greater the probability that the staff is marked as being in the maintenance staff is.
In the application, the comprehensive execution unit receives the corresponding policy to perform the corresponding execution operation, specifically:
when an animal driving strategy is received, the ultrasonic wave driver works and emits ultrasonic waves corresponding to kilohertz so as to realize the driving of small animals;
for example, if a murine animal appears, the ultrasonic wave dispersing device is enabled to emit ultrasonic waves of 20kHz-55kHz, so that the auditory system of the murine is effectively stimulated, the murine can feel dangerous threat, and the murine is forced to automatically transfer and leave the area where the transformer substation is located;
When the equipment maintenance strategy is received, a maintenance person receives the equipment maintenance strategy and corresponding equipment information through the intelligent terminal to maintain the corresponding substation auxiliary equipment;
when an environmental regulation strategy is received, the environmental regulation strategy comprises a humidity regulation strategy, a gas regulation strategy and a liquid level regulation strategy; the method comprises the following steps: when a liquid level regulation strategy is received, the drainage pump starts to work to rapidly drain accumulated water in the transformer substation; when a humidity adjustment strategy is received, the humidifier/dehumidifier is operated to adjust the humidity of the area where the substation auxiliary equipment is located;
when a gas environment regulation strategy is received, the gas environment regulation strategy comprises a smoke environment regulation strategy and an SF6 environment regulation strategy; when any one of the gas environment regulation strategies is received, the exhaust fan is enabled to operate and give out alarm sound and corresponding voice prompt, and maintenance personnel receive equipment information of the corresponding strategy through the intelligent terminal to maintain the corresponding substation auxiliary equipment or the connecting line.
It should be noted that, when the SF6 environment adjustment policy is generated, the corresponding voice prompt is specifically "sulfur hexafluoride gas leaks, and unrelated personnel withdraw the corresponding area as soon as possible", and when the smoke environment adjustment policy is generated, the corresponding voice prompt is specifically "combustible particle concentration is abnormal, and unrelated personnel withdraw the corresponding area as soon as possible", where the "corresponding area" refers to a monitoring area of substation auxiliary equipment corresponding to the corresponding policy.
In the application, the information acquisition unit comprises a sensing module and a video monitoring module;
the sensing module comprises an acoustic sensor, a gas sensor, a liquid level sensor, a temperature and humidity sensor and a current and voltage sensor;
the sound sensor is used for detecting the sound level of the substation auxiliary equipment, marking the sound level larger than the corresponding threshold value as abnormal sound level, recording the time length of the sound level to obtain abnormal sound time length, calculating the times of all the abnormal sound levels, and summing to obtain abnormal sound times; the gas sensor comprises a smoke sensor and an SF6 gas sensor, and is used for detecting combustible particle concentration and SF6 gas concentration of substation auxiliary equipment and corresponding connecting lines within a certain range respectively, and recording corresponding time length; the liquid level sensor is used for detecting the water level in a certain range of the transformer substation, marking the water level larger than a corresponding threshold value as a flood peak, recording the time length of the water level as the time length of the flood peak, calculating the times of all the flood peaks, and summing to obtain the times of the flood peak; the temperature and humidity sensor comprises a temperature sensor and a humidity sensor, wherein the temperature sensor is used for detecting the temperature of auxiliary equipment of the transformer substation, marking the temperature which is larger than a corresponding threshold value as a temperature peak, recording the time length of the temperature peak as the time length of the temperature peak, and calculating the times of all the temperature peaks to obtain the times of the temperature peak; the humidity sensor is used for detecting the humidity of the substation auxiliary equipment in a certain range, marking the humidity larger than a corresponding threshold value as a humidity height or marking the humidity smaller than the corresponding threshold value as a humidity low level, rectifying the humidity height or the humidity low level into abnormal humidity, recording the corresponding time length as a different humidity time length, and calculating the times of all the humidity heights and the humidity low levels to obtain different humidity times; the current-voltage sensor is used for detecting current-voltage signals of the substation auxiliary equipment, marking the current-voltage signals larger than the corresponding threshold value as signal peak values, recording the corresponding time length as peak value time length, and calculating the times of all signal peak values to obtain peak value times;
The video monitoring module is used for monitoring the area of the substation auxiliary equipment and the connecting line in real time in a certain range, marking the area as a monitoring area, and dividing the video of the corresponding monitoring area into monitoring videos according to the appointed time; the video monitored in real time is sent to the state display unit and displayed in real time, which is the prior art and will not be described in detail in this case.
The preferred embodiments of the invention disclosed above are intended only to assist in the explanation of the invention. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise form disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best understand and utilize the invention. The invention is limited only by the claims and the full scope and equivalents thereof.

Claims (7)

1. An electric power thing networking substation auxiliary assembly monitored control system, characterized by comprising:
the information acquisition unit acquires environmental information and equipment working information of the transformer substation through the sensing module and the video image monitoring module;
The information summarizing module transmits the environmental information of the transformer substation and the equipment working information to a summarizing analysis and assessment unit;
the total analysis and evaluation unit comprises an environmental state analysis module, an equipment state analysis module, a week area state analysis module and a comprehensive evaluation module; the method is used for analyzing the environmental information and the equipment working information of the transformer substation to obtain an environmental abnormality index, a driving state index, an animal influence index and a comprehensive abnormality index, and generating a corresponding strategy according to the corresponding index, and specifically comprises the following steps:
the environment state analysis module is used for analyzing the humidity, the gas and the liquid level of the substation auxiliary equipment within a certain range in a preset time zone to obtain an abnormal evaluation index corresponding to the humidity, the gas and the liquid level corresponding to the substation auxiliary equipment within a certain range; calculating abnormality assessment indexes corresponding to humidity, liquid level and gas to obtain environment abnormality indexes;
the equipment state analysis module is used for analyzing sound, temperature and current and voltage signals of auxiliary equipment of the transformer substation in a preset time zone to obtain a driving state index of the corresponding auxiliary equipment of the transformer substation;
the week area state analysis module is used for analyzing monitoring videos of the substation auxiliary equipment and the connecting line in a certain range in a preset time zone to obtain animal influence indexes corresponding to the substation auxiliary equipment and the connecting line in the preset time zone;
The comprehensive evaluation module is used for comprehensively analyzing the environmental abnormality index, the driving state index and the animal influence index in the preset time zone to obtain a transformer substation comprehensive abnormality index corresponding to the preset time zone;
the comprehensive execution unit is used for receiving the corresponding strategy to perform corresponding execution operation;
the information storage module is used for storing the environment information and equipment working information of the transformer substation, the environment abnormality index, the driving state index, the animal influence index, the comprehensive abnormality index and the execution result in a preset time zone;
the state display unit is used for displaying the environment abnormality index, the driving state index, the animal influence index and the comprehensive abnormality index which correspond to the preset time zone in the form of image data strips according to the set corresponding threshold; image display is carried out on the calling state and the equipment information in real time; dividing the display area of the image data strip into three areas by taking the maximum value and the minimum value of the corresponding indexes with the set corresponding threshold values as separation lines, and matching the three areas with three colors; the three areas are respectively corresponding to green, yellow and red from left to right; and displaying the region where the corresponding index is located in the corresponding color, and displaying the image data strip.
2. The monitoring system of the auxiliary equipment of the transformer substation of the electric power internet of things according to claim 1, wherein the peri-zone state analysis module is used for analyzing monitoring videos of the auxiliary equipment of the transformer substation and a certain range of corresponding connecting lines in a preset time zone, and the specific analysis process is as follows:
acquiring monitoring videos of substation auxiliary equipment and a certain range of a corresponding connecting line in a preset time zone, identifying the monitoring videos of the small animals, editing the monitoring videos into video clips, and marking the video clips as animal presence clips;
acquiring the number of the moving animals and the video duration of the corresponding animal presence segment from the animal presence segment, and marking the nearest distances between the moving animals and the auxiliary equipment and the corresponding connection lines as interval distances to be AN1, AN2 and AN3 respectively; calculating AN1, AN2 and AN3 to obtain animal influence indexes corresponding to substation auxiliary equipment and corresponding connecting lines in a preset time zone; and comparing the animal influence index with a set corresponding threshold value, if the animal influence index is smaller than the set corresponding threshold value, not performing any operation, if the animal influence index is within the set corresponding threshold value, generating animal early warning information, and if the animal influence index is larger than the set corresponding threshold value, generating an animal driving strategy.
3. The monitoring system of the auxiliary equipment of the transformer substation of the electric power internet of things according to claim 1, wherein the equipment state analysis module is used for analyzing sound, temperature, current and voltage signals of the auxiliary equipment of the transformer substation in a preset time zone, and the specific analysis process is as follows:
acquiring abnormal sound times, abnormal sound levels and abnormal sound duration of auxiliary equipment of the transformer substation in a preset time zone, and marking the abnormal sound times, the abnormal sound levels and the abnormal sound duration as SO1, SO2 and SO3 respectively; calculating SO1, SO2 and SO3 to obtain a sound abnormality assessment index SO of the substation auxiliary equipment in a preset time zone i
Acquiring a temperature peak, the times of the temperature peak and the time length of the temperature peak of auxiliary equipment of the transformer substation in a preset time zone, and marking the temperature peak as TE1, TE2 and TE3 respectively; calculating TE1, TE2 and TE3 to obtain a temperature abnormality assessment index TE of auxiliary equipment of the transformer substation in a preset time zone i
Acquiring signal peak values, peak value times and peak value duration of voltage and current signals of auxiliary equipment of a transformer substation in a preset time zone, and marking the signal peak values, the peak value times and the peak value duration as VA1, VA2 and VA3 respectively; calculating VA1, VA2 and VA3 to obtain a current and voltage abnormality assessment index VA of auxiliary equipment of the transformer substation in a preset time zone i
Calculating an abnormal evaluation index of the abnormal evaluation indexes corresponding to the sound, the temperature and the current voltage to obtain a driving state index; and comparing the driving state index with a set corresponding threshold value, if the driving state index is smaller than the set corresponding threshold value, not performing any operation, if the driving state index is within the set corresponding threshold value, generating equipment early warning information, and if the driving state index is greater than the set corresponding threshold value, generating equipment maintenance strategy.
4. The monitoring system of the auxiliary equipment of the transformer substation of the electric power internet of things according to claim 1, wherein the environmental state analysis module analyzes the humidity, the gas and the liquid level of the auxiliary equipment of the transformer substation in a preset time zone, and the specific process is as follows:
acquiring abnormal humidity, different humidity times and different humidity time length of substation auxiliary equipment in a certain range in a preset time zone, and marking the abnormal humidity, different humidity times and different humidity time length as HU1, HU2 and HU3 respectively; calculating HU1, HU2 and HU3 to obtain a transformer substation in a preset time zoneHumidity abnormality assessment index HU within a certain range of auxiliary equipment i
Obtaining flood peak, flood peak times and flood peak duration in a certain range of a transformer substation in a preset time zone, and marking the flood peak, the flood peak times and the flood peak duration as ST1, ST2 and ST3 respectively; calculating ST1, ST2 and ST3 to obtain a liquid level abnormality assessment index ST of the transformer substation in a preset time zone i
The method comprises the steps of obtaining combustible particle concentration, SF6 concentration and corresponding duration in a certain range of substation auxiliary equipment and corresponding connecting lines in a preset time zone, and marking the combustible particle concentration, SF6 concentration and corresponding duration as GA1, GA2, GA11 and GA22 respectively; the GAs abnormality assessment index GA is obtained by calculating GA1, GA2, GA11 and GA22 i
Calculating abnormality assessment indexes corresponding to humidity, liquid level and gas to obtain environment abnormality indexes; comparing the abnormal assessment indexes corresponding to the humidity, the liquid level and the gas with the set threshold, if the abnormal assessment indexes are smaller than the set corresponding threshold, not performing any operation, if the abnormal assessment indexes are in the set corresponding threshold, generating corresponding environment early warning information, and if the abnormal assessment indexes are larger than the set corresponding threshold, generating a corresponding environment adjustment strategy.
5. The power internet of things substation auxiliary equipment monitoring system according to claim 1, wherein the verification module is used for verifying the substation environment information and the equipment working information stored by the sum-total and classification analysis unit and the information storage module; compressing environment information of a transformer substation and equipment working information in a preset time zone into a working data packet and numbering; matching the corresponding numbers of the work data packets received by the merging and classifying analysis unit and the information storage module in a preset time zone, and if a missing item appears between the corresponding numbers of the merging and classifying analysis unit and the information storage module, marking the work data packet with the corresponding number of the missing item as a missing data packet, so that the information storage module sends the missing data packet with the corresponding number to the merging and classifying analysis unit.
6. The power internet of things substation auxiliary equipment monitoring system according to claim 1, further comprising a retrieval unit;
the invoking unit is used for receiving the equipment maintenance strategy and performing the dispatching processing operation to obtain corresponding maintenance personnel, and sending the corresponding execution strategy and the corresponding equipment information to the intelligent terminal of the maintenance personnel; and the maintenance personnel feed back the execution result to the state display unit through the intelligent terminal to display characters.
7. The monitoring system of the auxiliary equipment of the transformer substation of the electric power internet of things according to claim 1, wherein the comprehensive execution unit receives the corresponding policy to perform the corresponding execution operation, specifically:
when an animal driving strategy is received, the ultrasonic wave driver works and emits ultrasonic waves corresponding to kilohertz so as to realize the driving of small animals;
when the equipment maintenance strategy is received, a maintenance person receives the equipment maintenance strategy and corresponding equipment information through the intelligent terminal to maintain the corresponding substation auxiliary equipment;
when an environmental regulation strategy is received, the environmental regulation strategy comprises a humidity regulation strategy, a gas regulation strategy and a liquid level regulation strategy; the method comprises the following steps: when a liquid level regulation strategy is received, the drainage pump starts to work to rapidly drain accumulated water in the transformer substation; when a humidity adjustment strategy is received, the humidifier/dehumidifier is operated to adjust the humidity of the area where the substation auxiliary equipment is located;
when a gas environment regulation strategy is received, the gas environment regulation strategy comprises a smoke environment regulation strategy and an SF6 environment regulation strategy; when any one of the gas environment regulation strategies is received, the exhaust fan is enabled to operate and give out alarm sound and corresponding voice prompt, and maintenance personnel receive equipment information of the corresponding strategy through the intelligent terminal to maintain the corresponding substation auxiliary equipment or the connecting line.
CN202311494940.6A 2023-11-10 2023-11-10 Auxiliary equipment monitoring system of electric power internet of things substation Pending CN117526562A (en)

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