Detection and early warning system for power transmission and distribution line

Abstract

The invention relates to the technical field of power system safety monitoring and diagnosis, and discloses a power transmission and distribution line detection early warning system, which comprises a real-time monitoring module, a data acquisition module, a data analysis module, a control module and an early warning module, and is characterized in that whether a unit data set exceeds a normal range or not is judged through the early warning module, and potential problems are found in advance; preventive measures are taken, power failure and production interruption of equipment are avoided, damage to the equipment and production delay are reduced, production cost is saved, automatic parameter adjustment of the control module can quickly respond to changes of the equipment, it is ensured that the equipment runs in the optimal state, production efficiency and product quality are improved, and the product quality is improved. The above steps all surround the improvement of the reliability, stability and efficiency of the equipment and the reduction of the production cost and loss, and through the continuous monitoring and intelligent adjustment of the equipment, the equipment system can maintain the optimal operation state, reduce the power failure, prolong the service life of the equipment and ensure the safety production.

Description

Technical Field

[0001] The present invention relates to the technical field of power system safety monitoring and diagnosis, and in particular to a detection and early warning system for power transmission and distribution lines. Background Art

[0002] The detection and early warning system for transmission and distribution lines is an advanced technical system used to monitor the transmission link of the power system and ensure the safety of power supply. The core of this system is to diagnose and warn potential faults by real-time monitoring of the operating status of the transmission and distribution lines. It can analyze various parameters in the line, accurately diagnose possible fault hazards, locate faults, determine fault types, and issue early warning information. Such a system greatly improves the ability to respond quickly to transmission line faults, effectively reduces the incidence of line faults, and ensures the stable operation of the power system.

[0003] With the development of technology, modern power transmission and distribution line detection and early warning systems have integrated the Internet of Things technology, edge computing technology, and the intelligent monitoring system framework that combines "end, edge, and cloud". The application of these technologies enables the monitoring system to not only achieve all-round monitoring perception, but also automatically identify and warn of faults and safety hazards.

[0004] In densely populated urban areas, the layout of power lines is complex, and the detection and early warning system can help power grid companies promptly detect and deal with potential safety hazards and avoid large-scale power outages. For important industrial areas or critical infrastructure (such as hospitals, transportation hubs, etc.), the detection and early warning system can provide highly reliable power guarantees to prevent production interruptions or abnormal operation of important facilities due to power problems.

[0005] However, although edge intelligent terminals can intelligently analyze and process video and sensor data and upload them to the cloud system when anomalies are detected, this method of periodic or real-time data upload may not fully meet the needs of rapid response. In addition, the analysis of video data before anomalies occur requires more efficient algorithms to improve the speed and accuracy of diagnosis.

[0006] Although the dual-terminal traveling wave positioning technology can accurately determine the location of faults and potential discharge hazards, the accuracy of this technology is still limited by the sensitivity of the sensor and the advancement of the data processing algorithm. Therefore, improving sensor performance and optimizing algorithms are the key to improving the accuracy of fault positioning.

[0007] The system mainly collects data wirelessly, which may cause the system to face unstable communication problems in some extreme weather or interference-intensive environments. Therefore, enhancing the system's anti-interference ability and establishing a more stable communication link are important aspects of improving the system's robustness.

[0008] In general, the detection and early warning system of transmission and distribution lines is a comprehensive technical field that combines knowledge from multiple aspects such as power engineering, communication technology, the Internet of Things, data analysis, and artificial intelligence. It aims to improve the safety and reliability of the power system, reduce power outages, and ensure the normal operation of the social economy. Summary of the invention

[0009] 1. Technical issues to be resolved

[0010] In view of the deficiencies in the prior art, the present invention provides a detection and early warning system for transmission and distribution lines, which has the advantages of improving the safety and reliability of the power system and reducing power outages, thereby solving the problems of low safety, low reliability and power outages in the power system.

[0011] (II) Technical solution

[0012] To achieve the above-mentioned purpose, the present invention provides the following technical solutions: including a real-time monitoring module, a data acquisition module, a data analysis module, a control module and an early warning module;

[0013] The real-time monitoring module uses the image information to perform data recognition, and transmits the recognized data set to the data acquisition module via wireless or power line carrier mode;

[0014] The data acquisition module receives the data set from the monitoring module and classifies the data set into data units. The data acquisition module is composed of a fault unit, a signal quality unit and a strong anti-interference unit.

[0015] The fault unit is composed of historical data and real-time monitoring data, and is numbered according to the composition data. The historical data includes: a data set of equipment abnormality under natural conditions and a data set of equipment abnormality under interference conditions. The data set of equipment abnormality under natural conditions is composed of three parameters: temperature T, pressure P and running speed S; the data set of equipment abnormality under interference conditions is also composed of three parameters: temperature, pressure and speed;

[0016] The signal quality unit is used to monitor signal quality index data; the signal quality index data is composed of signal interference noise ratio, received signal strength index, signal received power and signal received quality. The monitored signal quality index data is transmitted to the data analysis module through the network, and the data analysis module automatically calculates the signal abnormality value. When the signal is abnormal, it is directly transmitted to the early warning module, and the early warning module determines the abnormal position and notifies the control module to switch the transmission mode in the monitoring module from the wireless mode to the power line carrier mode;

[0017] The strong anti-interference unit is used to improve signal quality and resist external interference signals;

[0018] The data analysis module is used to receive information from the data acquisition module and calculate the result from the unit data obtained from the data acquisition module. When the calculation result is abnormal, it is transmitted to the early warning module for investigation and determination of the abnormal location, and finally transmitted to the control module through a network connection;

[0019] The control module is used to identify abnormal information transmitted by the data analysis module, and the control module center automatically compares the normal parameters to adjust the abnormal parameters, and directly issues correct instructions to the equipment center of each unit for online regulation;

[0020] The early warning module analyzes the operating data of each unit through the control module, can promptly warn of fault information, and issue warnings through visual and auditory signals.

[0021] Preferably, the real-time monitoring module uses wireless information transmission under normal circumstances; when in a strong interference environment, it switches to power line carrier information transmission.

[0022] Preferably, the equipment abnormal data set under the natural conditions is composed of temperature T, pressure P and operating speed S. If the temperature is higher than the set temperature, it is an overheating reaction; if the pressure exceeds the set pressure or is lower than the set pressure, it is an equipment pressure error; if the speed is slower than the set temperature, it is a speed reduction. The above three situations constitute the abnormal data characteristics, and the equipment overheating rate Tvl, the equipment pressure error rate Pzj and the operating speed reduction rate Sil are calculated through the above data.

[0023] Preferably, the equipment abnormality data set under natural conditions, the equipment overheating rate Tvl formula is obtained as follows:

[0024]

[0025] In the formula, Tvl represents the equipment overheating rate; T represents the actual equipment temperature; and T1 represents the set equipment temperature.

[0026] Preferably, the equipment abnormality data set under natural conditions is composed of pressure P data sets P1, P2, P3, ... P n The formula for the equipment pressure error rate Pzj is calculated by the data set:

[0027]

[0028] In the formula, Pzj represents the equipment pressure error rate; P represents the actual equipment pressure; Ps represents the set equipment pressure; n represents the total number of times the equipment pressure is counted within a period of time; s represents the number of errors in the total number of times the equipment pressure is counted within a period of time; and t represents a period of time.

[0029] Preferably, the equipment abnormal data set under natural conditions, the speed reduction rate Sil is obtained by the equipment running speed S as follows:

[0030]

[0031] In the formula, Sil represents the operating speed reduction rate; S represents the actual equipment operating speed; and S1 represents the set equipment operating speed.

[0032] Preferably, the equipment overheating rate Tvl, equipment pressure error rate Pzj and speed reduction rate Sil obtained from the equipment abnormal data set under the natural conditions are transmitted to the early warning module, and the control module adjusts the equipment parameters according to the abnormal data to ensure the normal operation of the equipment.

[0033] Preferably, the calculation formulas for the equipment overheating rate, equipment pressure error rate and speed reduction rate of the equipment abnormality data set under the interference conditions are also calculated by the three parameters of temperature, pressure and speed, and the calculation formulas are the same as the calculation formulas for the equipment overheating rate Tvl, equipment pressure error rate Pzj and speed reduction rate Sil of the equipment abnormality data set under natural conditions, and the subsequent processing steps are also the same.

[0034] Preferably, the working process of the strong anti-interference unit is:

[0035] S1.1, the abnormal data set of the equipment under interference conditions transmits the obtained abnormal information to the strong anti-interference unit through the control module;

[0036] S1.2, similarly, the abnormal information received by the signal quality unit is transmitted to the strong anti-interference unit through the control module;

[0037] S1.3, the strong interference unit judges abnormal information and adopts transmission line shielding technology, signal isolation and reasonable grounding. These three measures resist external interference signals at the same time.

[0038] Preferably, the working process of the early warning module is:

[0039] S2.1, after receiving the abnormal data transmitted by the data analysis module, the early warning module activates the early warning mode by flashing the red warning light and sounding the alarm;

[0040] S2.2. Then, the control module will directly issue correct instructions to each module unit to adjust the online parameters of the faulty equipment.

[0041] Compared with the prior art, the present invention provides a detection and early warning system for power transmission and distribution lines, which has the following features:

[0042] Beneficial effects:

[0043] The present invention provides the equipment overheating rate, equipment pressure error rate and speed reduction rate through the equipment abnormal data set under natural conditions, thereby maintaining the normal operation of the equipment and reducing the cost. The equipment abnormal data set includes the overheating rate, pressure error rate and speed reduction rate calculated by the equipment temperature, pressure and running speed. The above three calculation results are collected in real time and transmitted to the early warning module. After receiving the abnormal data, the early warning module transmits it to the control module for rapid analysis. The control module adjusts the equipment parameters according to the abnormal data to correct the overheating, pressure error and speed reduction. The early warning module determines whether there is a situation beyond the normal range, discovers potential problems in advance, and thus takes preventive measures to avoid equipment failure and production interruption, thereby reducing damage to the equipment and production delays, and saving some costs. The automatic parameter adjustment of the control module can quickly respond to changes in the equipment, ensure that the equipment operates in the best state, and improve production efficiency and product quality. The above steps are all centered on improving the reliability, stability and efficiency of the equipment, as well as reducing production costs and losses. Through continuous monitoring and intelligent adjustment of the equipment, the equipment system can maintain the optimal operating state, reduce power outages and extend the life of the equipment, and ensure safe production. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] Figure 1 It is a schematic diagram of the structure of the present invention; DETAILED DESCRIPTION

[0045] 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.

[0046] See also Figure 1 , including real-time monitoring module, data acquisition module, data analysis module, control module and early warning module;

[0047] The real-time monitoring module uses the image information to perform data recognition, and transmits the recognized data set to the data acquisition module via wireless or power line carrier mode;

[0048] The data acquisition module receives the data set from the monitoring module and classifies the data set into data units. The data acquisition module is composed of a fault unit, a signal quality unit and a strong anti-interference unit.

[0049] The fault unit is composed of historical data and real-time monitoring data, and is numbered according to the composition data. The historical data includes: a data set of equipment abnormality under natural conditions and a data set of equipment abnormality under interference conditions. The data set of equipment abnormality under natural conditions is composed of three parameters: temperature T, pressure P and running speed S; the data set of equipment abnormality under interference conditions is also composed of three parameters: temperature, pressure and speed;

[0050] The signal quality unit is used to monitor signal quality index data; the signal quality index data is composed of signal interference noise ratio, received signal strength index, signal received power and signal received quality. The monitored signal quality index data is transmitted to the data analysis module through the network, and the data analysis module automatically calculates the signal abnormality value. When the signal is abnormal, it is directly transmitted to the early warning module, and the early warning module determines the abnormal position and notifies the control module to switch the transmission mode in the monitoring module from the wireless mode to the power line carrier mode;

[0051] The strong anti-interference unit is used to improve signal quality and resist external interference signals;

[0052] The data analysis module is used to receive information from the data acquisition module and calculate the result from the unit data obtained from the data acquisition module. When the calculation result is abnormal, it is transmitted to the early warning module for investigation and determination of the abnormal location, and finally transmitted to the control module through a network connection;

[0053] The control module is used to identify the abnormal information transmitted by the data analysis module, and the control module center automatically compares the normal parameters to adjust the abnormal parameters, and directly issues correct instructions to the equipment center of each unit for online regulation;

[0054] The early warning module analyzes the operating data of each unit through the control module, can promptly warn of fault information, and issue warnings through visual and auditory signals.

[0055] The real-time monitoring module uses wireless mode to transmit information when the environment is normal; when in a strong interference environment, it switches to power line carrier mode to transmit information.

[0056] The equipment abnormal data set under the natural conditions is composed of temperature T, pressure P and operating speed S. If the temperature is higher than the set temperature, it is an overheating reaction; if the pressure exceeds the set pressure or is smaller than the set pressure, it is an equipment pressure error; if the speed is slower than the set temperature, it is a speed reduction. The above three situations constitute the abnormal data characteristics, and the equipment overheating rate Tvl, equipment pressure error rate Pzj and operating speed reduction rate Sil are calculated through the above data.

[0057] The equipment abnormality data set under natural conditions is used to obtain the equipment overheating rate Tvl formula:

[0058]

[0059] In the formula, Tvl represents the equipment overheating rate; T represents the actual equipment temperature; and T1 represents the set equipment temperature.

[0060] The equipment abnormal data set under natural conditions is composed of pressure P data sets P1, P2, P3, ... P n The formula for the equipment pressure error rate Pzj is calculated by the data set:

[0061]

[0062] In the formula, Pzj represents the equipment pressure error rate; P represents the actual equipment pressure; Ps represents the set equipment pressure; n represents the total number of times the equipment pressure is counted within a period of time; s represents the number of errors in the total number of times the equipment pressure is counted within a period of time; and t represents a period of time.

[0063] The equipment abnormal data set under natural conditions, the speed reduction rate Sil is obtained from the equipment running speed S as follows:

[0064]

[0065] In the formula, Sil represents the operating speed reduction rate; S represents the actual equipment operating speed; and S1 represents the set equipment operating speed.

[0066] The equipment overheating rate Tvl, equipment pressure error rate Pzj and speed reduction rate Sil obtained from the equipment abnormal data set under the natural conditions are transmitted to the early warning module, and the control module adjusts the equipment parameters according to the abnormal data to ensure the normal operation of the equipment.

[0067] The calculation formulas for the equipment overheating rate, equipment pressure error rate and speed reduction rate of the equipment abnormal data set under the interference conditions are also calculated by the three parameters of temperature, pressure and speed. The calculation formulas are the same as the calculation formulas for the equipment overheating rate Tvl, equipment pressure error rate Pzj and speed reduction rate Sil of the equipment abnormal data set under natural conditions, and the subsequent processing steps are also the same.

[0068] The working process of the strong anti-interference unit is:

[0069] S1.1, the abnormal data set of the equipment under interference conditions transmits the obtained abnormal information to the strong anti-interference unit through the control module;

[0070] S1.2, similarly, the abnormal information received by the signal quality unit is transmitted to the strong anti-interference unit through the control module;

[0071] S1.3, the strong interference unit judges abnormal information and adopts transmission line shielding technology, signal isolation and reasonable grounding. These three measures resist external interference signals at the same time.

[0072] The working process of the early warning module is:

[0073] S2.1, after receiving the abnormal data transmitted by the data analysis module, the early warning module activates the early warning mode by flashing the red warning light and sounding the alarm;

[0074] S2.2. Then, the control module will directly issue correct instructions to each module unit to adjust the online parameters of the faulty equipment.

[0075] 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 present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A detection and early warning system for power transmission and distribution lines, characterized in that: It includes real-time monitoring module, data acquisition module, data analysis module, control module and early warning module; The real-time monitoring module uses the image information to perform data recognition, and transmits the recognized data set to the data acquisition module via wireless or power line carrier mode; The data acquisition module receives the data set from the monitoring module and classifies the data set into data units. The data acquisition module is composed of a fault unit, a signal quality unit and a strong anti-interference unit. The fault unit is composed of historical data and real-time monitoring data, and is numbered according to the composition data. The historical data includes: a data set of equipment abnormality under natural conditions and a data set of equipment abnormality under interference conditions. The data set of equipment abnormality under natural conditions is composed of three parameters: temperature T, pressure P and running speed S; the data set of equipment abnormality under interference conditions is also composed of three parameters: temperature, pressure and speed; The signal quality unit is used to monitor signal quality index data; the signal quality index data is composed of signal interference noise ratio, received signal strength index, signal received power and signal received quality. The monitored signal quality index data is transmitted to the data analysis module through the network, and the data analysis module automatically calculates the signal abnormality value. When the signal is abnormal, it is directly transmitted to the early warning module, and the early warning module determines the abnormal position and notifies the control module to switch the transmission mode in the monitoring module from the wireless mode to the power line carrier mode; The strong anti-interference unit is used to improve signal quality and resist external interference signals; The data analysis module is used to receive information from the data acquisition module and calculate the result from the unit data obtained from the data acquisition module. When the calculation result is abnormal, it is transmitted to the early warning module for investigation and determination of the abnormal location, and finally transmitted to the control module through a network connection; The control module is used to identify abnormal information transmitted by the data analysis module, and the control module center automatically compares the normal parameters to adjust the abnormal parameters, and directly issues correct instructions to the equipment center of each unit for online regulation; The early warning module analyzes the operating data of each unit through the control module, can promptly warn of fault information, and issue warnings through visual and auditory signals.

2. The detection and early warning system for power transmission and distribution lines according to claim 1 is characterized in that: The real-time monitoring module uses wireless mode to transmit information when the environment is normal; when in a strong interference environment, it switches to power line carrier mode to transmit information.

3. The detection and early warning system for power transmission and distribution lines according to claim 1, characterized in that: The equipment abnormal data set under the natural conditions is composed of temperature T, pressure P and operating speed S. If the temperature is higher than the set temperature, it is an overheating reaction; if the pressure exceeds the set pressure or is smaller than the set pressure, it is an equipment pressure error; if the speed is slower than the set temperature, it is a speed reduction. The above three situations constitute the abnormal data characteristics, and the equipment overheating rate Tvl, equipment pressure error rate Pzj and operating speed reduction rate Sil are calculated through the above data.

4. The detection and early warning system for power transmission and distribution lines according to claim 3 is characterized in that: The equipment abnormality data set under natural conditions is used to obtain the equipment overheating rate Tvl formula: In the formula, Tvl represents the equipment overheating rate; T represents the actual equipment temperature; and T1 represents the set equipment temperature.

5. The detection and early warning system for power transmission and distribution lines according to claim 3 is characterized in that: The equipment abnormal data set under natural conditions is composed of pressure P data sets P1, P2, P3, ... P n The formula for the equipment pressure error rate Pzj is calculated by the data set: In the formula, Pzj represents the equipment pressure error rate; P represents the actual equipment pressure; Ps represents the set equipment pressure; n represents the total number of times the equipment pressure is counted within a period of time; s represents the number of errors in the total number of times the equipment pressure is counted within a period of time; and t represents a period of time.

6. The detection and early warning system for power transmission and distribution lines according to claim 3 is characterized in that: The equipment abnormal data set under natural conditions, the speed reduction rate Sil is obtained from the equipment running speed S as follows: In the formula, Sil represents the operating speed reduction rate; S represents the actual equipment operating speed; and S1 represents the set equipment operating speed.

7. The detection and early warning system for power transmission and distribution lines according to claim 6, characterized in that: The equipment overheating rate Tvl, equipment pressure error rate Pzj and speed reduction rate Sil obtained from the equipment abnormal data set under the natural conditions are transmitted to the early warning module, and the control module adjusts the equipment parameters according to the abnormal data to ensure the normal operation of the equipment.

8. The detection and early warning system for power transmission and distribution lines according to claim 7, characterized in that: The calculation formulas for the equipment overheating rate, equipment pressure error rate and speed reduction rate of the equipment abnormal data set under the interference conditions are also calculated by the three parameters of temperature, pressure and speed. The calculation formulas are the same as the calculation formulas for the equipment overheating rate Tvl, equipment pressure error rate Pzj and speed reduction rate Sil of the equipment abnormal data set under natural conditions, and the subsequent processing steps are also the same.

9. The detection and early warning system for power transmission and distribution lines according to claim 1, characterized in that: The working process of the strong anti-interference unit is: S1.1, the abnormal data set of the equipment under interference conditions transmits the obtained abnormal information to the strong anti-interference unit through the control module; S1.2, similarly, the abnormal information received by the signal quality unit is transmitted to the strong anti-interference unit through the control module; S1.3, the strong interference unit judges abnormal information and adopts transmission line shielding technology, signal isolation and reasonable grounding. These three measures resist external interference signals at the same time.

10. The detection and early warning system for power transmission and distribution lines according to claim 1, characterized in that: The working process of the early warning module is: S2.1, after receiving the abnormal data transmitted by the data analysis module, the early warning module activates the early warning mode by flashing the red warning light and sounding the alarm; S2.

2. Then, the control module will directly issue correct instructions to each module unit to adjust the online parameters of the faulty equipment.

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