CN111562447A - System and method for identifying voltage class of high-voltage overhead transmission line - Google Patents
System and method for identifying voltage class of high-voltage overhead transmission line Download PDFInfo
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Abstract
A voltage grade identification system and method for a high-voltage overhead transmission line mainly comprise a detection device and a display device, wherein power frequency electric field intensity data and altitude data collected by the detection device are transmitted to the display device through wireless radio frequency, a voltage grade identification application program operated by the display device utilizes a classifier to establish a voltage grade identification model, and test data are tested to obtain the voltage grade of the high-voltage overhead transmission line. The voltage grade identification system for the high-voltage overhead transmission line is simple and convenient to operate, high in reliability and high in real-time performance, can realize quick and accurate identification, and effectively solves the problem that the existing transmission line safety alarm device cannot identify the voltage grade.
Description
Technical Field
The invention relates to the technical field of electric power, in particular to a system and a method for identifying the voltage grade of a high-voltage overhead transmission line.
Background
The power transmission line plays an important role in a power grid, the safe and stable operation of the power transmission line is related to the stability of the whole power grid, the electric energy transmitted by the power transmission line is continuously increased along with the continuous development of economy, the problems of protection, monitoring and safety management of the power transmission line are increasingly remarkable, and the stability of the power transmission line faces a huge challenge, especially the influence of external force damage on the power transmission line. The transmission lines with different voltage grades have different safety distances, and engineering construction near the overhead transmission line needs to be carried out beyond the safety distances, so that external damage prevention monitoring needs to be carried out on the overhead transmission line, and the voltage grade identification of the overhead transmission line is a problem to be solved urgently.
At present, the electric field detection technology is mainly adopted for the safety distance alarm device of the power transmission line, the electric field sensor is installed above people or objects which possibly enter the safety distance, the electric field strength value detected by the electric field sensor is compared with the safety threshold value, and the alarm is given when the electric field strength value is greater than the safety threshold value, so that operating personnel are reminded, personnel accidents are avoided, and meanwhile, the risk that the power transmission line is damaged by external force is reduced.
The alarm device alarms according to the preset electric field intensity threshold, however, the safe electric field intensity thresholds of different power transmission lines are different, and the existing equipment does not have the function of identifying the voltage grade, so that manual switching can be performed only under the condition of the known voltage grade, and operation steps are added. The misoperation and the missing operation of operators easily cause recognition errors, so that accidents occur.
The existing voltage grade identification method mainly utilizes a plurality of electric field sensors to measure the electric field intensity and calculate the electric field intensity gradient, and compares the change curve of the electric field intensity gradient with the change curves of different voltage grades, thereby realizing the identification of the voltage grade. The voltage identification system adopting a plurality of electric field sensors is complex to deploy and high in power consumption.
Disclosure of Invention
In order to solve the technical problems, the invention provides a system and a method for identifying the voltage grade of a high-voltage overhead transmission line, which aim to solve the problem that the existing safety distance alarm device cannot identify the voltage grade.
The invention specifically adopts the following technical scheme:
a high tension overhead transmission line voltage level identification system, the system includes detection device and display device, its characterized in that:
the detection device and the display device are both arranged on the ground below the lowest phase of the high-voltage overhead transmission line; the detection device rises at a preset speed and collects the values of power frequency electric field intensity and altitude;
the detection device and the display device are interacted through wireless communication;
the detection device includes: the system comprises a power frequency electric field sensor, a first air pressure sensor and a first MCU (microprogrammed control unit) microprocessor;
the power frequency electric field sensor detects power frequency electric field intensity and sends power frequency electric field intensity data to the first MCU microprocessor;
the first air pressure sensor detects the altitude and sends altitude data to the first MCU;
the first MCU microprocessor sends the acquired power frequency electric field intensity data and altitude data to the display device;
the display device includes: the second MCU microprocessor, the display module and the storage module;
the second MCU microprocessor processes power frequency electric field intensity data and altitude data received from the detection device so as to identify the voltage grade;
the display module is arranged on the surface of the display device, is connected with the second MCU microprocessor and is used for displaying the voltage grade identification result and the height difference between the detection device and the display device;
and the storage module is connected with the second MCU processor and stores the result data of voltage grade identification.
The invention further adopts the following preferred technical scheme:
the detection device also comprises a first communication module, a first power supply module and a first standby battery;
the detection device communicates with the display device through the first communication module;
the first power supply module is connected with the first MCU microprocessor, the power frequency electric field sensor, the first air pressure sensor, the first communication module and the first standby power supply to provide electric energy;
and the first standby power supply supplies power to each module in the detection device when not connected with an external power supply.
The display device also comprises a second communication module, a second air pressure sensor, a key, a second power module and a second standby battery;
the display device is communicated with the detection device through the second communication module;
the second barometric sensor is connected with the second MCU microprocessor, and is used for collecting altitude data of the display device and displaying the altitude data in the display module;
the key is arranged on the surface of the display device and connected with the second MCU processor, and the running states of the display device and the detection device are controlled through the key;
the second power supply module is connected with the second MCU microprocessor, the second communication module, the display module, the second air pressure sensor and the second standby battery to provide electric energy;
and the second standby power supply supplies power to each module in the display device when the second standby power supply is not connected with an external power supply.
The first power supply module and the second power supply module are both externally connected with a 5V direct current charger.
When the height difference between the detection device and the display device reaches a predetermined difference, the detection device stops moving and detecting.
And a trained voltage grade recognition model is installed in the second MCU microprocessor.
The voltage grade identification model is obtained by training power frequency electric field data and altitude data of known voltage grades based on a neural network.
A voltage grade identification method for a high-voltage overhead transmission line based on the voltage grade identification system for the high-voltage overhead transmission line comprises the following steps:
step 1: the detection device and the display device are arranged below different high-voltage overhead transmission lines with known voltage levels, and the detection device moves upwards at a preset speed and collects power frequency electric field intensity data and altitude data of different voltage levels;
step 2: establishing a voltage grade identification model according to the power frequency electric field intensity data and the altitude data collected in the step 1;
and step 3: transplanting the established voltage identification grade model to the second MCU microprocessor;
and 4, step 4: placing a detection device and a display device on the ground below the lowest phase of the high-voltage overhead transmission line of which the voltage grade needs to be detected, turning on a power supply of the detection device and the display device, and controlling the display device and the detection device to enter an operating state through a key on the display device;
and 5: a second MCU microprocessor of the display device acquires altitude data of a second barometric sensor and stores the altitude data in a storage module;
step 6: the detection device moves upwards at a preset speed, N groups of altitude data and power frequency electric field intensity data corresponding to the altitude are obtained every second through the first air pressure sensor and the power frequency electric field sensor, and the obtained sensing data are sent to the display device in real time through the first communication module;
and 7: the display device receives power frequency electric field data and altitude data sent by the detection device, displays the height difference between the detection device and the display device through the display module, and stops moving and collects data when the height difference reaches a preset value;
and 8: the second MCU microprocessor processes the power frequency electric field intensity data and the altitude data collected in the step 7 according to the voltage grade identification model;
and step 9: the second MCU microprocessor transmits the processing result to a display module for displaying, or transmits the processing result to other equipment needing to use the processing result through a second communication module;
step 10: the display device is controlled to enter a dormant state through a stop key on the display device, a stop instruction is sent to the detection device through the second communication module, and the detection device receives the stop instruction and then controls the first power supply module to disconnect the power supply of the power frequency electric field sensor and the air pressure sensor and enter the dormant state.
In the step 1, repeatedly collecting M groups of data at each voltage level, filtering and grouping the data, wherein half of the data is used as a training set of a classifier in the voltage level recognition model, and the other half of the data is used as a test set.
The step 2 comprises the following steps:
step 201: marking the electric field data and the height data collected in the step 1;
step 202: extracting a curve of the electric field changing along with the altitude difference from the training set as a characteristic, constructing a multilayer neural network, and establishing a classifier for identifying the electric field and the altitude difference changing characteristic of different voltage levels;
step 203: repeatedly training the training set until the recognition accuracy of the classifier is over 90 percent;
step 204: substituting the test set into a voltage grade identification model, verifying the identification accuracy, and executing the step 3 if the accuracy is higher than 90%; otherwise, step 1 and steps 201 to 203 are executed again until the accuracy of the test is more than 90%.
The step 8 comprises the following steps:
step 801: and filtering the collected power frequency electric field data and altitude data, grouping the data, and dividing the data into N/2 groups according to a 2Hz sampling rate to be used as a test set.
Step 802: and inputting the test set into a voltage grade identification model of the MCU microprocessor to obtain a voltage grade identification result of each group of data.
Step 803: and judging the result of the N/2 groups of data according to the maximum membership principle to obtain the voltage grade identification result of the test set.
The invention has the following technical effects:
(1) the voltage grade identification of the overhead transmission line is realized by adopting a power frequency electric field sensor and an air pressure sensor, and the system is low in power consumption and can be used for a long time;
(2) the detection device and the display device provided by the invention have small volumes, are convenient to install and deploy quickly, can be used repeatedly, are convenient to disassemble and assemble, greatly reduce the production cost and avoid the cost waste;
(3) and the voltage grade is automatically identified by adopting an intelligent algorithm, and the identified result is convenient to integrate with other systems.
Drawings
Fig. 1 is a schematic diagram of a hardware architecture of a voltage class identification system of a high-voltage overhead transmission line according to the present invention.
FIG. 2 is a schematic view of the position of the detecting device and the display device according to the present invention.
Fig. 3 is a graph of the electric field as a function of height for different voltage levels.
FIG. 4 is a flow chart of the present invention for establishing a voltage level identification model.
FIG. 5 is a flow chart of a voltage level identification method of the present invention.
Detailed Description
The system and method for identifying the voltage class of the high voltage overhead transmission line according to the present invention will be described in detail with reference to the accompanying drawings.
Fig. 1 is a schematic diagram of a hardware architecture of a voltage class identification system of a high-voltage overhead transmission line according to the present invention, and fig. 2 is a schematic diagram of positions of a detection device and a display device according to the present invention. As shown in fig. 1, the voltage class identification system for the high-voltage overhead transmission line of the invention comprises a detection device and a display device, and as shown in fig. 2, the detection device moves upwards at a predetermined speed in a region below the lowest phase of the overhead transmission line to acquire power frequency electric field intensity and altitude data. Preferably, in the present invention, the detecting means is moved upward at a speed of not more than 1 m/s. The display device is placed on the ground or on a tripod and is used for displaying the identified voltage level. Preferably, the height difference between the detection means and the display means does not exceed 10 m.
Wherein, detection device includes: the device comprises an external shell, a power frequency electric field sensor, a first air pressure sensor, a first MCU (micro control unit, MCU for short) microprocessor, a first communication module, a first power module and a first backup battery. Wherein the structure of the outer shell meets the IP65 protection rating.
The power frequency battery sensor is arranged on the surface of the outer shell and connected with the first MCU microprocessor, and is used for detecting the power frequency electric field intensity and sending the acquired power frequency electric field intensity data to the first MCU microprocessor. First baroceptor establishes on the surface of outside casing, is connected with first MCU microprocessor for detect altitude, and with the altitude data transmission who gathers to first MCU microprocessor. Altitude is inversely related to barometric pressure, which drops by approximately 100Pa for every 12m of increase, 1mmHg (1 ml of mercury) or every 9m of increase.
According to the standard conversion formula: altitude (h) ((1013.25-atmosphere/100) × 9), the altitude can be obtained. Moreover, at present, the digital air pressure sensor can directly read air pressure or altitude, so the digital air pressure sensor is preferably adopted in the invention, and altitude data can be directly read through the first MCU microprocessor.
The first MCU microprocessor is in wireless communication with the display device through the first communication module, and transmits power frequency electric field intensity data and altitude data acquired by the first MCU microprocessor to the display device or receives a control instruction of the display device. In the present invention, the first communication module preferably employs an RF433 radio frequency module.
The first power module is connected with the first MCU microprocessor, the power frequency electric field sensor, the first air pressure sensor and the first communication module to provide electric energy. The first power module is externally connected with a 5V direct current power supply and charges the detection device through the Micro USB interface.
The first power module is also connected with the first standby battery, charges the first standby battery, can detect the running state of the battery, and has the functions of high-temperature protection, low-temperature protection, short-circuit protection, overcharge protection, overdischarge protection, voltage monitoring, capacity monitoring, temperature monitoring and the like.
When the first standby power supply is not connected with the external power supply, the first standby power supply supplies power to all modules in the detection device.
The display device includes: the device comprises a shell, a second MCU microprocessor, a second communication module, a second air pressure sensor (not shown in the figure), a display module, a storage module, a key, a second power supply module and a second standby power supply. Wherein the structure of the housing meets the IP65 protection rating.
And the second MCU microprocessor is in wireless communication with the detection device through the second communication module. In the present invention, the second communication module preferably employs an RF433 radio frequency module.
The second MCU microprocessor processes the power frequency electric field intensity data and the altitude data received from the detection device, thereby recognizing the voltage level. And a trained voltage grade identification model is installed in the second MCU microprocessor. The voltage grade identification model is trained on the basis of a neural network by carrying out power frequency electric field data and altitude data of known voltage grades, so as to obtain the voltage grade identification model.
Fig. 3 is a variation curve of an electric field with height under different voltage levels, and according to fig. 3, the method for obtaining the voltage identification level model is specifically obtained through the following steps:
s1: with known voltage levels, electric field data and height data are collected for different voltage levels.
S2: the electric field data and the height data collected in S1 are labeled.
S3: extracting a curve of the electric field changing along with the altitude difference from the training set as a characteristic, constructing a multi-layer neural network (for example, 3 layers), and establishing a classifier for identifying the electric field and altitude difference changing characteristics of different voltage levels.
S4: and (4) repeatedly training the training set until the recognition accuracy of the classifier is more than 90%.
S5: substituting the test set into a voltage grade identification model, verifying the identification accuracy, and executing the step 3 if the accuracy is higher than 90%; otherwise, re-executing S1-S4 until the accuracy of the test is more than 90%.
And the second barometric sensor is connected with the second MCU microprocessor and used for acquiring altitude data of the display device. In the invention, because the positions of the detection device and the display device are in the same weather and the altitude data acquired by the detection device and the display device are considered to be the same environment, the altitude difference between the detection device and the display device in the movement process is calculated mainly through the altitude values detected by the first barometric sensor and the second barometric sensor, so that the measurement environments of the barometric sensors of the two devices can be considered to be the same, and the altitude difference is consistent with the actual value.
The display module is arranged on the surface of the shell of the display device, is connected with the second MCU microprocessor and is used for displaying the voltage grade identification result and the height difference between the detection device and the display device.
The storage module is connected with the second MCU processor and used for storing the result data of the voltage grade identification and the altitude data of the display device.
The keys are arranged on the surface of the shell of the display device, connected with the second MCU processor and used for controlling the running states of the display device and the detection device. When the display device and the detection device are in the dormant state in the non-working state, the power consumption is reduced, and the system running time can be prolonged. The display device is triggered to wake up from a dormant state through keys on the display device, the display device sends an operation instruction to the detection device through the second communication module after the display device wakes up, and after the detection device receives the operation instruction, the power supply module is controlled to supply power to the power frequency electric field sensor and the first air pressure sensor and acquire corresponding sensor data. Similarly, the display device is controlled to enter a dormant state through the keys, the display device sends a stop instruction to the detection device, the detection device controls the first power supply module to cut off power frequency electric field sensors and the first air pressure sensor and enter the dormant state, and at the moment, only the first communication module works.
And the second power supply module is connected with the second MCU microprocessor, the second communication module and the display module and provides electric energy. The second power supply module is also connected with a second standby battery and supplies power to each module in the display device when the external power supply is not connected. The second power module is externally connected with a 5V direct current power supply and charges the detection device through the Micro USB interface.
Fig. 4 is a flowchart of establishing a voltage class identification model according to the present invention, and fig. 5 is a flowchart of a voltage class identification method for a high voltage overhead transmission line based on a voltage class identification system for the high voltage overhead transmission line according to the present invention, and as shown in fig. 4 and 5, the voltage class identification method for the high voltage overhead transmission line specifically includes the following steps:
step 1: with known voltage levels, electric field data and height data are collected for different voltage levels.
And repeatedly acquiring M groups of data at each voltage level, filtering and grouping the data, wherein one half of the data is used as a training set of a classifier in the voltage level recognition model, and the other half of the data is used as a test set.
Step 2: and establishing a voltage grade identification model according to the electric field data and the height data collected in the step 1. The step 2 specifically comprises the following steps:
step 201: and (3) marking the electric field data and the height data collected in the step (1).
Step 202: extracting a curve of the electric field changing along with the altitude difference from the training set as a characteristic, constructing a 3-layer neural network, and establishing a classifier for identifying the electric field and altitude difference changing characteristics of different voltage levels.
Step 203: and (4) repeatedly training the training set until the recognition accuracy of the classifier is more than 90%.
Step 204: substituting the test set into a voltage grade identification model, verifying the identification accuracy, and executing the step 3 if the accuracy is higher than 90%; otherwise, step 1 and steps 201 to 203 are executed again until the accuracy of the test is more than 90%.
And step 3: and transplanting the established voltage identification grade model to the second MCU microprocessor.
And 4, step 4: the detection device and the display device are placed on the ground below the lowest phase of the high-voltage overhead transmission line, the power supply of the detection device and the display device is turned on, and the display device and the detection device are controlled to enter the running state through keys on the display device.
Specifically, the second MCU microprocessor of the display device sends the operation instruction to the detection device through the second communication module, and after the first MCU microprocessor of the detection device receives the operation instruction, the first power supply module is controlled to supply power to the power frequency electric field sensor and the first air pressure sensor.
And 5: and a second MCU microprocessor of the display device acquires altitude data of the second air pressure sensor and stores the altitude data in a storage module.
Step 6: the detection device moves upwards at a preset speed, N groups of altitude data and power frequency electric field intensity data (namely the sampling rate NHz) corresponding to the altitude are acquired every second through the first barometric sensor and the power frequency electric field sensor, and the acquired sensing data are sent to the display device in real time through the first communication module.
Preferably, the detection device moves upwards at a speed not higher than 1m/s, and the detection device acquires 10 sets of power frequency electric field strength data and altitude data (namely, a sampling rate of 10Hz) per second.
And 7: the display device receives the power frequency electric field data sent by the detection device and the altitude data of the detection device, the height difference between the detection device and the display device is displayed through the display module, and the detection device stops collecting data when the height difference is 10 m.
And 8: and the second MCU microprocessor processes the received power frequency electric field intensity data and the altitude data according to the voltage grade identification model.
The method specifically comprises the following steps:
step 801: and filtering the collected power frequency electric field data and altitude data, grouping the data, and dividing the data into N/2 groups according to a 2Hz sampling rate to be used as a test set.
Preferably, the data are divided into 5 groups at a 2Hz sampling rate as a test set.
Step 802: and inputting the test set into a voltage grade identification model of the second MCU microprocessor to obtain a voltage grade identification result of each group of data.
Step 803: and judging the result of the N/2 groups of data according to the maximum membership principle to obtain the voltage grade identification result of the test set. Preferably, the result of 5 groups of data is judged according to the maximum membership rule.
And step 9: and the second MCU microprocessor transmits the processing result to the display module for displaying, or transmits the processing result to other equipment needing to use the processing result through the second communication module.
Step 10: the display device is controlled to enter a dormant state through a stop key on the display device, a stop instruction is sent to the detection device through the second communication module, and the detection device receives the stop instruction and then controls the first power supply module to disconnect the power frequency electric field sensor and the first air pressure sensor and enter the dormant state.
The voltage class identification method of the high-voltage overhead transmission line of the invention is further described below by taking 110kV, 220kV and 500kV high-voltage overhead transmission lines as examples.
Step 1: repeatedly acquiring 20 groups of data under 110kV, 220kV and 500kV high-voltage overhead transmission lines respectively, totally acquiring 60 groups of data, filtering the data by adopting a Kalman filter, grouping the data, taking 10 groups of data under each voltage level as a training set, and taking the rest data as a test set.
Step 2: and establishing a voltage grade identification model according to the electric field data and the height data collected in the step 1.
The step 2 specifically comprises the following steps:
step 201: and (3) marking the electric field data and the height data collected in the step (1).
Step 202: extracting a curve of the electric field changing along with the altitude difference from the training set as a characteristic, constructing a 3-layer neural network, and establishing a classifier for identifying the electric field and altitude difference changing characteristics of different voltage levels.
Step 203: and (4) repeatedly training the training set until the recognition accuracy of the classifier is more than 90%.
Step 204: substituting the test set into a voltage grade identification model, verifying the identification accuracy, and executing the step 3 if the accuracy is higher than 90%; otherwise, step 1 and steps 201 to 203 are executed again until the accuracy of the test is more than 90%.
And step 3: and transplanting the established model program to a second MCU microprocessor of the display device.
And 4, step 4: a certain high-voltage overhead transmission line is selected, the detection device and the display device are placed on the ground below the lowest phase, the detection device and the display device power supply are turned on, the display device is controlled to enter an operating state through an operating key on the display device, a second MCU microprocessor of the display device sends an operating instruction to the detection device through a second communication module, and after a first MCU microprocessor of the detection device receives the operating instruction, the first power module is controlled to supply power to the power frequency electric field sensor and the first air pressure sensor.
And 5: and a second MCU microprocessor of the display device acquires altitude data of the second air pressure sensor and stores the altitude data in a storage module.
Step 6: the detection device moves upwards at the speed not higher than 1m/s, acquires the altitude data (namely the sampling rate is 10Hz) of 10 groups of power frequency electric field sensors and the first air pressure sensor every second, and transmits the acquired sensing data to the display device in real time through the first communication module.
And 7: the display device receives power frequency electric field intensity data sent by the detection device and altitude data of the detection device, the height difference between the detection device and the display device is displayed through the display module, and the detection device stops moving and collects data when the height difference is 10 m.
And 8: and the second MCU microprocessor operates a voltage grade identification application program and inputs the received power frequency electric field intensity data and altitude data into a voltage grade identification model for processing.
The method specifically comprises the following steps:
step 801: and filtering the collected power frequency electric field data and altitude data, grouping the data, and dividing the data into 5 groups according to a 2Hz sampling rate to be used as a test set.
Step 802: and inputting the test set into a voltage grade identification model of the second MCU microprocessor to obtain a voltage grade identification result of each group of data.
Step 803: and judging the results of the 5 groups of data according to the maximum membership principle to obtain the voltage grade identification result of the test set.
And step 9: and the second MCU microprocessor transmits the processing result to the display module for displaying, or transmits the processing result to other equipment needing to use the processing result through the second communication module.
Step 10: the display device is controlled to enter a dormant state through a stop key on the display device, a stop instruction is sent to the detection device through the second communication module, and the detection device receives the stop instruction and then controls the first power supply module to disconnect the power supply of the electric field sensor and the first air pressure sensor and enter the dormant state.
The voltage grade identification of the overhead transmission line is realized by adopting the power frequency electric field sensor and the air pressure sensor, and the system has low power consumption and can be used for a long time. And the detection device and the display device are small in size, convenient to install and deploy, reusable, convenient to disassemble and assemble, greatly reduced in production cost and prevented from being wasted in cost. And the voltage grade is automatically identified by adopting an intelligent algorithm, and the identified result is convenient to integrate with other systems.
In order to make those skilled in the art better understand the technical solutions in the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
Other embodiments of the present application will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure herein. This application is intended to cover any variations, uses, or adaptations of the invention following, in general, the principles of the application and including such departures from the present disclosure as come within known or customary practice within the art to which the invention pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the application being indicated by the following claims.
Claims (11)
1. A high tension overhead transmission line voltage level identification system, the system includes detection device and display device, its characterized in that:
the detection device and the display device are both arranged on the ground below the lowest phase of the high-voltage overhead transmission line; the detection device rises at a preset speed and collects the values of power frequency electric field intensity and altitude;
the detection device and the display device are interacted through wireless communication;
the detection device includes: the system comprises a power frequency electric field sensor, a first air pressure sensor and a first MCU (microprogrammed control unit) microprocessor;
the power frequency electric field sensor detects power frequency electric field intensity and sends power frequency electric field intensity data to the first MCU microprocessor;
the first air pressure sensor detects the altitude and sends altitude data to the first MCU;
the first MCU microprocessor sends the acquired power frequency electric field intensity data and altitude data to the display device;
the display device includes: the second MCU microprocessor, the display module and the storage module;
the second MCU microprocessor processes power frequency electric field intensity data and altitude data received from the detection device so as to identify the voltage grade;
the display module is arranged on the surface of the display device, is connected with the second MCU microprocessor and is used for displaying the voltage grade identification result and the height difference between the detection device and the display device;
and the storage module is connected with the second MCU processor and stores the result data of voltage grade identification.
2. The system of claim 1, wherein the system further comprises:
the detection device also comprises a first communication module, a first power supply module and a first standby battery;
the detection device communicates with the display device through the first communication module;
the first power supply module is connected with the first MCU microprocessor, the power frequency electric field sensor, the first air pressure sensor, the first communication module and the first standby power supply to provide electric energy;
and the first standby power supply supplies power to each module in the detection device when not connected with an external power supply.
3. The system of claim 1, wherein the system further comprises:
the display device also comprises a second communication module, a second air pressure sensor, a key, a second power module and a second standby battery;
the display device is communicated with the detection device through the second communication module;
the second barometric sensor is connected with the second MCU microprocessor, and is used for collecting altitude data of the display device and displaying the altitude data in the display module;
the key is arranged on the surface of the display device and connected with the second MCU processor, and the running states of the display device and the detection device are controlled through the key;
the second power supply module is connected with the second MCU microprocessor, the second communication module, the display module, the second air pressure sensor and the second standby battery to provide electric energy;
and the second standby power supply supplies power to each module in the display device when the second standby power supply is not connected with an external power supply.
4. A system for identifying the voltage class of a high voltage overhead transmission line according to any one of claims 1 to 3, characterized in that:
the first power supply module and the second power supply module are both externally connected with a 5V direct current charger.
5. A system for identifying the voltage class of a high voltage overhead transmission line according to any one of claims 1 to 3, characterized in that:
when the height difference between the detection device and the display device reaches a predetermined difference, the detection device stops moving and detecting.
6. The system of claim 1, wherein the system further comprises:
and a trained voltage grade recognition model is installed in the second MCU microprocessor.
7. The system of claim 6, wherein:
the voltage grade identification model is obtained by training power frequency electric field data and altitude data of known voltage grades based on a neural network.
8. A high voltage overhead transmission line voltage class identification method based on a high voltage overhead transmission line voltage class identification system according to any one of claims 1 to 7, the method comprising the steps of:
step 1: the detection device and the display device are arranged below different high-voltage overhead transmission lines with known voltage levels, and the detection device moves upwards at a preset speed and collects power frequency electric field intensity data and altitude data of different voltage levels;
step 2: establishing a voltage grade identification model according to the power frequency electric field intensity data and the altitude data collected in the step 1;
and step 3: transplanting the established voltage identification grade model to the second MCU microprocessor;
and 4, step 4: placing a detection device and a display device on the ground below the lowest phase of the high-voltage overhead transmission line of which the voltage grade needs to be detected, turning on a power supply of the detection device and the display device, and controlling the display device and the detection device to enter an operating state through a key on the display device;
and 5: a second MCU microprocessor of the display device acquires altitude data of a second barometric sensor and stores the altitude data in a storage module;
step 6: the detection device moves upwards at a preset speed, N groups of altitude data and power frequency electric field intensity data corresponding to the altitude are obtained every second through the first air pressure sensor and the power frequency electric field sensor, and the obtained sensing data are sent to the display device in real time through the first communication module;
and 7: the display device receives power frequency electric field data and altitude data sent by the detection device, displays the height difference between the detection device and the display device through the display module, and stops moving and collects data when the height difference reaches a preset value;
and 8: the second MCU microprocessor processes the power frequency electric field intensity data and the altitude data collected in the step 7 according to the voltage grade identification model;
and step 9: the second MCU microprocessor transmits the processing result to a display module for displaying, or transmits the processing result to other equipment needing to use the processing result through a second communication module;
step 10: the display device is controlled to enter a dormant state through a stop key on the display device, a stop instruction is sent to the detection device through the second communication module, and the detection device receives the stop instruction and then controls the first power supply module to disconnect the power supply of the power frequency electric field sensor and the air pressure sensor and enter the dormant state.
9. The method for identifying the voltage class of the high-voltage overhead transmission line according to claim 8, characterized in that:
in the step 1, repeatedly collecting M groups of data at each voltage level, filtering and grouping the data, wherein half of the data is used as a training set of a classifier in the voltage level recognition model, and the other half of the data is used as a test set.
10. The method for identifying the voltage class of the high-voltage overhead transmission line according to claim 8 or 9, characterized in that:
the step 2 comprises the following steps:
step 201: marking the electric field data and the height data collected in the step 1;
step 202: extracting a curve of the electric field changing along with the altitude difference from the training set as a characteristic, constructing a multilayer neural network, and establishing a classifier for identifying the electric field and the altitude difference changing characteristic of different voltage levels;
step 203: repeatedly training the training set until the recognition accuracy of the classifier is over 90 percent;
step 204: substituting the test set into a voltage grade identification model, verifying the identification accuracy, and executing the step 3 if the accuracy is higher than 90%; otherwise, step 1 and steps 201 to 203 are executed again until the accuracy of the test is more than 90%.
11. The method for identifying the voltage class of the high-voltage overhead transmission line according to claim 8 or 9, characterized in that:
the step 8 comprises the following steps:
step 801: and filtering the collected power frequency electric field data and altitude data, grouping the data, and dividing the data into N/2 groups according to a 2Hz sampling rate to be used as a test set.
Step 802: and inputting the test set into a voltage grade identification model of the MCU microprocessor to obtain a voltage grade identification result of each group of data.
Step 803: and judging the result of the N/2 groups of data according to the maximum membership principle to obtain the voltage grade identification result of the test set.
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