Power transmission line fault monitoring and positioning system

Abstract

The invention relates to the technical field of power systems and artificial intelligence, and discloses a power transmission line fault monitoring and positioning system, which comprises a data monitoring module, a data collection module, a data calculation module and a data management module, the data monitoring module uses a ball-type camera, a gun-type camera and a temperature and humidity sensor to monitor the operation state and the line environment of a power transmission line in real time, and the data collection module carries out data conversion on data collected by the data monitoring module through a wireless LORA protocol converter. The data calculation module calculates the converted data to obtain a real-time power index Fvl, power transmission line fault positioning data Kig and a power grid load index Hxf, and the data management module monitors the current power state according to the real-time power index Fvl, pre-estimates the distance between a fault point and a measurement point according to the power transmission line fault positioning data Kig, and transmits the pre-estimated distance to the power grid load index Hxf. And the fault range is judged according to the power grid load index Hxf.

Description

Technical Field

[0001] The present invention relates to the field of power system and artificial intelligence technology, and in particular to a transmission line fault monitoring and positioning system. Background Art

[0002] In the safe operation of the power system, a transmission line fault monitoring and location system plays a vital role. This system targets multiple basic elements in the power system, including key functions such as fault detection, classification and location. With the development of science and technology, the progress of the system is closely based on a deep understanding of transmission lines, advanced sensing technology, data processing algorithms, and special emphasis is placed on the important application of artificial intelligence (AI) technology in fault analysis and processing. However, the existing technical solutions have certain limitations, especially in the delayed monitoring of the transmission line status and the inability to achieve advance prediction, which undoubtedly increases the risk and instability of power system operation. This background has prompted an urgent need for more advanced technologies to overcome the shortcomings of existing technologies and achieve real-time and accurate monitoring and prediction of the power system status. Summary of the invention

[0003] 1. Technical issues to be solved

[0004] In view of the shortcomings of the prior art, the present invention provides a transmission line fault monitoring and positioning system, which has the advantages of real-time monitoring of the power system status and early prediction of faults, and solves the problems of delayed monitoring of the transmission line status and inability to predict faults in advance in traditional technologies.

[0005] (II) Technical solution

[0006] To achieve the above-mentioned object, the present invention provides the following technical solutions: a transmission line fault monitoring and positioning system, comprising a data monitoring module, a data collection module, a data calculation module and a data management module;

[0007] The data monitoring module uses a dome camera, a gun-type camera and a temperature and humidity sensor to monitor the operation status and line environment of the power transmission line in real time, and the data monitoring module transmits the monitoring data to the data collection module through a wireless network;

[0008] The data collection module converts the data collected by the data monitoring module through a wireless LORA protocol converter and performs data numbering. The data collection module includes a transmission line unit, an auxiliary facility unit and a temperature and humidity unit. The transmission line unit obtains transmission line data through a wireless data aggregation node, and transmits it to the data calculation module through a network sensor. The auxiliary facility unit obtains auxiliary facility data through a wireless data aggregation node and a traveling wave ranging technology, and transmits it to the data calculation module through a network sensor. The temperature and humidity unit obtains temperature and humidity data through a wireless temperature measurement and acquisition device and a temperature and humidity sensor. The data collection module is connected to the data calculation module through a network sensor;

[0009] The data calculation module includes a power state unit, a transmission line fault location unit and a power grid load unit. The power state unit calculates the real-time power index Fvl according to the transmission line data, the transmission line fault location unit calculates the transmission line fault location data Kig according to the auxiliary facility data, and the power grid load unit calculates the power grid load index Hxf according to the temperature and humidity data and the real-time power index Fvl. The data calculation module is connected to the data management module through a network sensor;

[0010] The data management module monitors the current power status according to the real-time power index Fvl, the data management module estimates the distance between the fault point and the measurement point according to the transmission line fault location data Kig, and the data management module determines the fault range according to the power grid load index Hxf.

[0011] Preferably, the transmission line unit numbers the high-voltage power, medium-voltage power, low-voltage power, high-voltage time domain signal, medium-voltage time domain signal and low-voltage time domain signal data respectively according to the characteristics of the transmission line data, and the high-voltage power, medium-voltage power, low-voltage power, high-voltage time domain signal, medium-voltage time domain signal and low-voltage time domain signal data are numbered W1, W2, W3, f(t1), f(t2), f(t3), respectively.

[0012] Preferably, the power status unit calculates the real-time power index Fvl according to the transmission line data, and the calculation formula is:

[0013]

[0014] In the formula, Fvl represents the real-time power index, W1, W2, W3, f(t1), f(t2), and f(t3) represent the high-voltage power, medium-voltage power, low-voltage power, high-voltage time domain signal, medium-voltage time domain signal, and low-voltage time domain signal data, respectively; W1+W2+W3 represents the total power of the transmission line; x1, y1, and z1 represent the weights of the high-voltage time domain signal, the medium-voltage time domain signal, and the low-voltage time domain signal in the total time domain signal, respectively; g(t1), g(t2), and g(t3) represent the preset time domain signals of the high-voltage time domain signal, the medium-voltage time domain signal, and the low-voltage time domain signal in the transmission line, respectively; x, y, and Z represent the weights of the high-voltage time domain signal, the medium-voltage time domain signal, and the low-voltage time domain signal in the total preset time domain signal, respectively; Represents the time domain signal loss coefficient of the transmission line.

[0015] Preferably, the auxiliary facility unit numbers the total length of the power line, the propagation speed of the traveling wave on the power line, the time when the fault traveling wave of the monitoring equipment arrives at the measuring point 1, and the time when the fault traveling wave of the monitoring equipment arrives at the measuring point 2 according to the auxiliary facility data characteristics, and the total length of the power line, the propagation speed of the traveling wave on the power line, the time when the fault traveling wave of the monitoring equipment arrives at the measuring point 1, and the time when the fault traveling wave of the monitoring equipment arrives at the measuring point 2 are numbered as l, V, T1, and T2, respectively.

[0016] Preferably, the transmission line fault location unit calculates the transmission line fault location data Kig according to the auxiliary facility data, and the calculation formula is:

[0017]

[0018] In the formula, Kig represents the transmission line fault location data, l, V, T1, and T2 represent the total length of the power line, the propagation speed of the traveling wave on the power line, the time when the fault traveling wave of the monitoring equipment reaches the measuring point 1, and the time when the fault traveling wave of the monitoring equipment reaches the measuring point 2, respectively. Indicates the distance from the fault point to the measurement point.

[0019] Preferably, the temperature and humidity unit numbers the temperature and humidity data around the circuit according to the characteristics of the temperature and humidity data, and the temperature and humidity data around the circuit are numbered Q and S.

[0020] Preferably, the grid load unit calculates the grid load index Hxf according to the temperature and humidity data and the real-time power index Fvl, and the calculation formula is:

[0021] Hxf=a*Q+b*S+c*Fvl

[0022] In the formula, Hxf represents the grid load index, Fvl represents the real-time power index, Q and S represent the temperature and humidity data around the circuit, a, b, and c represent the temperature and humidity data around the circuit, the temperature influence coefficient, humidity influence coefficient, and power transmission influence coefficient corresponding to the power index, respectively.

[0023] Preferably, the data management module monitors the current power status according to the real-time power index Fvl. When the power index Fvl is 100%, the power status is excellent; when the power index Fvl is 85%<100%, the power status is good; when the power index Fvl is 60%<85%, the power status is general.

[0024] Preferably, the data management module estimates the distance between the fault point and the measuring point according to the transmission line fault location data Kig, and plans the maintenance route in advance according to the distance between the fault point and the measuring point.

[0025] Preferably, the data management module determines the fault range according to the power grid load index Hxf, and identifies the fault source according to the fault range, triggering emergency processing in advance.

[0026] Compared with the prior art, the present invention provides a transmission line fault monitoring and positioning system, which has the following beneficial effects:

[0027] 1. The present invention calculates the real-time power index Fvl through the power status unit, and the data management module can evaluate the current power supply status according to the real-time power index Fvl, so as to ensure the stability of the power supply. When the real-time power index Fvl fluctuates within the range of 60% to 85%, the data management module can determine that the cause of the fault is insufficient power supply of the power system, and take measures to supplement the power supply. When the real-time power index Fvl>100%, the data management module can determine that the cause of the fault is excessive power supply of the power system, and take measures to transfer the power supply. This method of adjusting the power supply according to the monitoring and calculation indicators can not only prevent power outages and improve the reliability of the system, but also reduce the power supply cost.

[0028] 2. The power grid load index Hxf of the present invention can reflect the load condition of the power grid from the side. The fault range can be judged through the index, so as to effectively allocate maintenance resources. At the same time, the fault source can be circled according to the fault range, and the management module can be prompted to trigger the emergency processing mechanism in advance, so that the fault can be processed as soon as it occurs, so as to reduce the initial impact of the fault on the power grid and prevent the fault from spreading, thereby ensuring the safe and stable operation of the power grid. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] Figure 1 It is a schematic diagram of the structure of the present invention; DETAILED DESCRIPTION

[0030] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0031] See also Figure 1 , a transmission line fault monitoring and positioning system, including a data monitoring module, a data collection module, a data calculation module and a data management module;

[0032] The data monitoring module uses a dome camera, a gun camera and a temperature and humidity sensor to monitor the operation status and line environment of the power transmission line in real time. The data monitoring module transmits the monitoring data to the data collection module through a wireless network;

[0033] The data collection module converts the data collected by the data monitoring module through a wireless LORA protocol converter and numbers them. The data collection module includes a transmission line unit, an auxiliary facility unit and a temperature and humidity unit. The transmission line unit obtains the transmission line data through a wireless data aggregation node and transmits it to the data calculation module through a network sensor. The auxiliary facility unit obtains the auxiliary facility data through a wireless data aggregation node and a traveling wave ranging technology, and transmits it to the data calculation module through a network sensor. The temperature and humidity unit obtains temperature and humidity data through a wireless temperature measurement and acquisition device and a temperature and humidity sensor. The data collection module is connected to the data calculation module through a network sensor.

[0034] The data calculation module includes a power status unit, a transmission line fault location unit and a power grid load unit. The power status unit calculates the real-time power index Fvl according to the transmission line data, the transmission line fault location unit calculates the transmission line fault location data Kig according to the auxiliary facility data, and the power grid load unit calculates the power grid load index Hxf according to the temperature and humidity data and the real-time power index Fvl. The data calculation module is connected to the data management module through a network sensor;

[0035] The data management module monitors the current power status according to the real-time power index Fvl, estimates the distance between the fault point and the measurement point according to the transmission line fault location data Kig, and determines the fault range according to the power grid load index Hxf.

[0036] The transmission line unit numbers the high voltage power, medium voltage power, low voltage power, high voltage time domain signal, medium voltage time domain signal and low voltage time domain signal data respectively according to the characteristics of the transmission line data. The high voltage power, medium voltage power, low voltage power, high voltage time domain signal, medium voltage time domain signal and low voltage time domain signal data are numbered W1, W2, W3, f(t1), f(t2) and f(t3) respectively.

[0037] The power status unit calculates the real-time power index Fvl according to the transmission line data, and the calculation formula is:

[0038]

[0039] In the formula, Fvl represents the real-time power index, W1, W2, W3, f(t1), f(t2), and f(t3) represent the high-voltage power, medium-voltage power, low-voltage power, high-voltage time domain signal, medium-voltage time domain signal, and low-voltage time domain signal data, respectively; W1+W2+W3 represents the total power of the transmission line; x1, y1, and z1 represent the weights of the high-voltage time domain signal, the medium-voltage time domain signal, and the low-voltage time domain signal in the total time domain signal, respectively; g(t1), g(t2), and g(t3) represent the preset time domain signals of the high-voltage time domain signal, the medium-voltage time domain signal, and the low-voltage time domain signal in the transmission line, respectively; x, y, and z represent the weights of the high-voltage time domain signal, the medium-voltage time domain signal, and the low-voltage time domain signal in the total preset time domain signal, respectively; Represents the time domain signal loss coefficient of the transmission line.

[0040] The advantages are: through the calculation of the real-time power index Fvl by the power status unit, the data management module can evaluate the current power supply status according to the real-time power index Fvl, so as to ensure the stability of the power supply. When the real-time power index Fvl fluctuates within the range of 60% to 85%, the data management module can determine that the cause of the fault is insufficient power supply of the power system, and take measures to supplement the power supply. When the real-time power index Fvl>100%, the data management module can determine that the cause of the fault is excess power supply of the power system, and take measures to transfer the power supply. This method of adjusting the power supply according to the monitoring and calculation indicators can not only prevent power outages and improve the reliability of the system, but also reduce the power supply cost.

[0041] The auxiliary facilities unit numbers the total length of the power line, the propagation speed of the traveling wave on the power line, the time when the fault traveling wave of the monitoring equipment arrives at the measuring point 1, and the time when the fault traveling wave of the monitoring equipment arrives at the measuring point 2 according to the auxiliary facilities data characteristics. The total length of the power line, the propagation speed of the traveling wave on the power line, the time when the fault traveling wave of the monitoring equipment arrives at the measuring point 1, and the time when the fault traveling wave of the monitoring equipment arrives at the measuring point 2 are numbered as l, V, T1, and T2, respectively.

[0042] The transmission line fault location unit calculates the transmission line fault location data Kig based on the auxiliary facility data, and the calculation formula is:

[0043]

[0044] In the formula, Kig represents the transmission line fault location data, l, V, T1, and r2 represent the total length of the power line, the propagation speed of the traveling wave on the power line, the time when the fault traveling wave of the monitoring equipment reaches the measurement point 1, and the time when the fault traveling wave of the monitoring equipment reaches the measurement point 2, respectively. Indicates the distance from the fault point to the measurement point.

[0045] The advantages are: by calculating the transmission line fault location data Kig, it helps the data management module to quickly locate the fault point and reduce the inspection time. By estimating the distance between the fault point and the measuring point, it can also plan the shortest maintenance route in advance, reducing the maintenance preparation time of the maintenance department, thereby quickly restoring the normal operation of the transmission line and reducing the impact of power outages on residents' lives.

[0046] The temperature and humidity unit numbers the temperature and humidity data around the circuit according to the characteristics of the temperature and humidity data. The temperature and humidity data around the circuit are numbered as Q and S.

[0047] The grid load unit calculates the grid load index Hxf based on the temperature and humidity data and the real-time power index Fvl. The calculation formula is:

[0048] Hxf=a*Q+b*S+c*Fvl

[0049] In the formula, Hxf represents the grid load index, Fvl represents the real-time power index, Q and S represent the temperature and humidity data around the circuit, a, b, and c represent the temperature and humidity data around the circuit, the temperature influence coefficient, humidity influence coefficient, and power transmission influence coefficient corresponding to the power index, respectively.

[0050] The advantages are: the power grid load index Hxf can reflect the load situation of the power grid from the side. The index can be used to determine the fault range, thereby effectively allocating maintenance resources. At the same time, the fault source can be identified according to the fault range, and the management module can be prompted to trigger the emergency processing mechanism in advance. The fault can be processed as soon as it occurs to reduce the initial impact of the fault on the power grid and prevent the fault from spreading, thereby ensuring the safe and stable operation of the power grid.

[0051] The data management module monitors the current power status according to the real-time power index Fvl. When the power index Fvl is 100%, the power status is excellent; when the power index Fvl is 85%<100%, the power status is good; when the power index Fvl is 60%<85%, the power status is general.

[0052] The data management module estimates the distance between the fault point and the measurement point based on the transmission line fault location data Kig, and plans the maintenance route in advance based on the distance between the fault point and the measurement point.

[0053] The data management module determines the fault range based on the power grid load index Hxf, and identifies the fault source based on the fault range, triggering emergency processing in advance.

[0054] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the invention, and that the scope of the invention is defined by the appended claims and their equivalents.

Claims

1. A transmission line fault monitoring and positioning system, characterized in that: It includes data monitoring module, data collection module, data calculation module and data management module; The data monitoring module uses a dome camera, a gun-type camera and a temperature and humidity sensor to monitor the operation status and line environment of the power transmission line in real time. The data monitoring module transmits the monitoring data to the data collection module through a wireless network; The data collection module converts the data collected by the data monitoring module through a wireless LORA protocol converter and performs data numbering. The data collection module includes a transmission line unit, an auxiliary facility unit and a temperature and humidity unit. The transmission line unit obtains transmission line data through a wireless data aggregation node, and transmits it to the data calculation module through a network sensor. The auxiliary facility unit obtains auxiliary facility data through a wireless data aggregation node and a traveling wave ranging technology, and transmits it to the data calculation module through a network sensor. The temperature and humidity unit obtains temperature and humidity data through a wireless temperature measurement and acquisition device and a temperature and humidity sensor. The data collection module is connected to the data calculation module through a network sensor; The data calculation module includes a power state unit, a transmission line fault location unit and a power grid load unit. The power state unit calculates the real-time power index Fvl according to the transmission line data, the transmission line fault location unit calculates the transmission line fault location data Kig according to the auxiliary facility data, and the power grid load unit calculates the power grid load index Hxf according to the temperature and humidity data and the real-time power index Fvl. The data calculation module is connected to the data management module through a network sensor; The data management module monitors the current power status according to the real-time power index Fvl, the data management module estimates the distance between the fault point and the measurement point according to the transmission line fault location data Kig, and the data management module determines the fault range according to the power grid load index Hxf.

2. A power transmission line fault monitoring and positioning system according to claim 1, characterized in that: The transmission line unit numbers the high-voltage power, medium-voltage power, low-voltage power, high-voltage time domain signal, medium-voltage time domain signal and low-voltage time domain signal data respectively according to the characteristics of the transmission line data, and the high-voltage power, medium-voltage power, low-voltage power, high-voltage time domain signal, medium-voltage time domain signal and low-voltage time domain signal data are numbered W1, W2, W3, f(t1), f(t2) and f(t3) respectively.

3. A power transmission line fault monitoring and positioning system according to claim 2, characterized in that: The power status unit calculates the real-time power index Fvl according to the transmission line data, and the calculation formula is: In the formula, Fvl represents the real-time power index, W1, W2, W3, f(t1), f(t2), and f(t3) represent the high-voltage power, medium-voltage power, low-voltage power, high-voltage time domain signal, medium-voltage time domain signal, and low-voltage time domain signal data, respectively; W1+W2+W3 represents the total power of the transmission line; x1, y1, and z1 represent the weights of the high-voltage time domain signal, the medium-voltage time domain signal, and the low-voltage time domain signal in the total time domain signal, respectively; g(t1), g(t2), and g(t3) represent the preset time domain signals of the high-voltage time domain signal, the medium-voltage time domain signal, and the low-voltage time domain signal in the transmission line, respectively; x, y, and z represent the weights of the high-voltage time domain signal, the medium-voltage time domain signal, and the low-voltage time domain signal in the total preset time domain signal, respectively; Represents the time domain signal loss coefficient of the transmission line.

4. A power transmission line fault monitoring and positioning system according to claim 1, characterized in that: The auxiliary facilities unit numbers the total length of the power line, the propagation speed of the traveling wave on the power line, the time when the fault traveling wave of the monitoring equipment arrives at the measuring point 1, and the time when the fault traveling wave of the monitoring equipment arrives at the measuring point 2 according to the auxiliary facilities data characteristics. The total length of the power line, the propagation speed of the traveling wave on the power line, the time when the fault traveling wave of the monitoring equipment arrives at the measuring point 1, and the time when the fault traveling wave of the monitoring equipment arrives at the measuring point 2 are numbered as l, V, T1, and T2, respectively.

5. A power transmission line fault monitoring and positioning system according to claim 4, characterized in that: The transmission line fault location unit calculates the transmission line fault location data Kig according to the auxiliary facility data, and the calculation formula is: In the formula, Kig represents the transmission line fault location data, l, V, T1, and T2 represent the total length of the power line, the propagation speed of the traveling wave on the power line, the time when the fault traveling wave of the monitoring equipment reaches the measuring point 1, and the time when the fault traveling wave of the monitoring equipment reaches the measuring point 2, respectively. Indicates the distance from the fault point to the measurement point.

6. A power transmission line fault monitoring and positioning system according to claim 1, characterized in that: The temperature and humidity unit numbers the temperature and humidity data around the circuit according to the characteristics of the temperature and humidity data, and the temperature and humidity data around the circuit are numbered Q and S.

7. A power transmission line fault monitoring and positioning system according to claim 6, characterized in that: The grid load unit calculates the grid load index Hxf according to the temperature and humidity data and the real-time power index Fvl, and the calculation formula is: Hxf=a*Q+b*S+c*Fvl In the formula, Hxf represents the grid load index, Fvl represents the real-time power index, Q and S represent the temperature and humidity data around the circuit, a, b, and c represent the temperature and humidity data around the circuit, the temperature influence coefficient, humidity influence coefficient, and power transmission influence coefficient corresponding to the power index, respectively.

8. A power transmission line fault monitoring and positioning system according to claim 3, characterized in that: The data management module monitors the current power status according to the real-time power index Fvl. When the power index Fvl is 100%, the power status is excellent; when the power index Fvl is 85%<100%, the power status is good; when the power index Fvl is 60%<85%, the power status is general.

9. A power transmission line fault monitoring and positioning system according to claim 5, characterized in that: The data management module estimates the distance between the fault point and the measuring point according to the transmission line fault location data Kig, and plans a maintenance route in advance according to the distance between the fault point and the measuring point.

10. A power transmission line fault monitoring and positioning system according to claim 7, characterized in that: The data management module determines the fault range according to the power grid load index Hxf, and delineates the fault source according to the fault range, triggering emergency processing in advance.

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