Power transmission line fault and forest fire detection device

Abstract

The invention provides a power transmission line fault and forest fire detection device, and relates to the cross technical field of power system monitoring and fire early warning. The power transmission line fault and volcano detection device comprises a sensor module, a data acquisition module, a data processing module, a fault and forest fire judgment module, a communication module, an alarm module and a battery module, the sensor module comprises a current sensor, a temperature sensor, an image sensor, an infrared sensor, an ultraviolet sensor, an ultrasonic sensor, an atmospheric electric field sensor and a gas sensor, and is used for collecting data of current, temperature, image, infrared radiation, ultraviolet light, ultrasonic wave, atmospheric electric field and gas concentration of the power transmission line. Through fusion of a plurality of different types of sensors, multi-dimensional and omnibearing monitoring of power transmission line faults and forest fire is realized. Different sensors acquire information from different angles and complement each other, so that the limitation of single sensor detection is made up, and the accuracy and reliability of detection are greatly improved.

Description

Technical Field

[0001] The present invention relates to the technical field of intersection between power system monitoring and fire early warning, and in particular to a transmission line fault and wildfire detection device. Background Art

[0002] In the power system, transmission lines are exposed to complex and ever-changing operating environments for a long time, facing many challenges such as mechanical stress, electrical aging, and harsh climates, which can easily lead to various faults. For example, conductors may break due to long-term tension, and insulators will gradually age under high voltage environments. Corona discharge is caused by excessive electric field strength on the surface of the conductor. Currently, there are obvious shortcomings in the means of detecting transmission line faults. Traditional regular manual inspections are not only inefficient and labor-intensive, but also limited by the field of vision and technical level of inspectors, making it difficult to detect hidden faults such as internal conductor damage and minor corona discharge. Some existing single detection technologies, such as relying solely on infrared thermal imaging detection, can only capture faults caused by heat, and are powerless against faults such as corona discharge and local insulation defects that do not cause significant temperature changes.

[0003] Wildfires pose a serious and potential threat to the safety of transmission lines. Once a wildfire occurs and spreads near a transmission line, high temperatures, smoke, and flames may damage line equipment, trigger power outages, or even cause more serious power system failures. Currently, wildfire detection methods have many limitations. Manual observation is restricted by geographical environment and weather conditions and cannot achieve all-round, real-time monitoring. Although satellite monitoring can cover a large area, its temporal resolution is low and the data processing process is complex, making it difficult to detect early wildfires in a timely manner and accurately locate them. Some existing sensor-based wildfire detection devices often only focus on a single detection factor, such as judging a wildfire only by smoke concentration or temperature changes. This single-dimensional detection method cannot comprehensively and accurately capture the various characteristics of wildfires, resulting in a significant reduction in the reliability and timeliness of the detection results.

[0004] To sum up, the existing transmission line fault and wildfire monitoring technologies generally have the problem of relying on a single sensor and lack the ability to effectively fuse and collaboratively analyze multi-source information. The application of multimodal sensor fusion technology in this field is still in the development stage. The data fusion method between sensors is not mature enough, and it is difficult to fully mine the complementary information between different sensor data, thus making it impossible to achieve efficient and accurate detection of transmission line faults and wildfires. This not only affects the safe and stable operation of the power system, but also brings difficulties to the prevention and response of wildfires. Therefore, technical personnel in this field provide a transmission line fault and wildfire detection device to solve the problems raised in the above background technology. Summary of the Invention

[0005] (1) Technical problems solved

[0006] In response to the shortcomings of the existing technology, the present invention provides a transmission line fault and wildfire detection device, which solves the problem that some transmission line fault and wildfire detection technologies generally rely on a single sensor and lack the ability to effectively integrate and collaboratively analyze multi-source information.

[0007] (2) Technical solution

[0008] To achieve the above objectives, the present invention is implemented through the following technical solutions: a transmission line fault and wildfire detection device, including a sensor module, a data acquisition module, a data processing module, a fault and wildfire judgment module, a communication module, an alarm module and a battery module;

[0009] The sensor module includes a current sensor, a temperature sensor, an image sensor, an infrared sensor, an ultraviolet sensor, an ultrasonic sensor, an atmospheric electric field sensor, and a gas sensor, which is used to collect data on the current, temperature, image, infrared radiation, ultraviolet light, ultrasonic wave, atmospheric electric field, and gas concentration of the transmission line;

[0010] The data acquisition module is used to receive and preliminarily process the data collected by the sensor module to ensure the integrity and accuracy of the data;

[0011] The data processing module is used to integrate and analyze the collected multi-source data to extract key information that can reflect the characteristics of transmission line faults and signs of wildfires;

[0012] Fault and wildfire detection: Based on data from current and temperature sensors, combined with historical fault data and preset fault thresholds, it determines whether a short circuit, overload, or grounding fault has occurred in the transmission line. It also uses data from infrared, ultraviolet, image, and gas sensors to determine whether a wildfire has occurred.

[0013] Communication module, used to send detected power line faults and wildfire information to the remote monitoring center or relevant personnel in a timely manner;

[0014] An alarm module is used to send out audible and visual alarm signals when a power line fault or wildfire is detected, and to generate corresponding alarm information;

[0015] The power module is used to provide a stable power supply for the entire device.

[0016] Preferably, the current sensor is a TMR current sensor or a Hall sensor, which is used to measure the current size and changes in the transmission line with high precision; the temperature sensor is a thermocouple, a thermistor or an infrared temperature sensor, which is used to measure the temperature of the transmission line and the temperature changes of the surrounding environment; the image sensor includes a visible light camera and a thermal imaging camera, which is used to collect visible light images and thermal imaging images of the transmission line and its surrounding areas; the infrared sensor is used to monitor the changes in the infrared radiation intensity of the surrounding environment in real time to detect the occurrence and development of wildfires; the ultraviolet sensor is used to accurately identify the ultraviolet light signals generated by wildfires under a complex ambient light background; the ultrasonic sensor is used to receive the ultrasonic signals generated during the burning process of the wildfire and analyze the characteristics of the signals; the atmospheric electric field sensor is used to monitor the changes in the atmospheric electric field in real time to assist in judging the occurrence and development of wildfires; the gas sensor includes a smoke sensor, a carbon monoxide sensor, a carbon dioxide sensor and a volatile organic compound sensor, which are used to detect the concentrations of smoke, carbon monoxide, carbon dioxide and volatile organic compound gases generated by the burning of wildfires.

[0017] A transmission line fault and wildfire detection device comprises the following steps:

[0018] Data acquisition: The sensor module collects data on the transmission line's current, temperature, image, infrared radiation, ultraviolet light, ultrasound, atmospheric electric field, and gas concentration;

[0019] Data processing: The data processing module integrates and analyzes the collected multi-source data to extract key information that can reflect the characteristics of power transmission faults and signs of wildfires;

[0020] Fault and wildfire judgment: Based on the key information obtained in the data processing step, it is determined whether a transmission line fault has occurred and whether a wildfire has occurred;

[0021] Communication and alarm: When a transmission line fault or wildfire is detected, the relevant information is sent to the remote monitoring center or relevant staff through the communication module, and the alarm module sends out sound and light alarm signals and generates corresponding alarm information.

[0022] Preferably, in the data processing step, continuous data such as current and temperature are processed using data filtering and feature extraction methods, image, infrared, ultraviolet visual and radiation data are processed using image processing algorithms and pattern recognition technology, and sensor data such as ultrasonic waves, atmospheric electric fields, and gases are processed through signal analysis and feature matching algorithms.

[0023] Preferably, in the fault and wildfire judgment step, the transmission line fault is judged based on the data of the current sensor and the temperature sensor combined with the historical fault data and the preset fault threshold, and the occurrence of wildfire is judged based on the data of the infrared sensor, ultraviolet sensor, image sensor and gas sensor.

[0024] Preferably, it further comprises a computer-readable storage program, which, when executed by a processor, implements the steps of the transmission line fault and wildfire detection method according to any one of claims 3 to 5.

[0025] Preferably, the power module adopts a combination of a solar panel and a lithium battery. The solar panel adopts a foldable design, and the lithium battery is arranged under the solar panel and adopts a sealed design to prevent rain and dust from entering.

[0026] (3) Beneficial effects

[0027] The present invention provides a transmission line fault and forest fire detection device. It has the following beneficial effects:

[0028] 1. In the present invention, by integrating multiple different types of sensors, the device realizes multi-dimensional and all-round monitoring of transmission line faults and wildfires; different sensors obtain information from different angles and complement each other, making up for the limitations of single sensor detection, greatly improving the accuracy and reliability of detection, and being able to timely and comprehensively detect various transmission line faults and early signs of wildfires.

[0029] 2. In the present invention, the advanced multi-source information fusion algorithm fully exploits the complementary information between the sensor data, deeply integrates different types of characteristic parameters, and forms a more comprehensive and accurate description of the transmission line and wildfire status; this enables the device to more accurately identify the type of transmission line fault and wildfire characteristics, providing a more reliable and scientific basis for fault diagnosis and fire warning, and effectively improving the accuracy and efficiency of detection.

[0030] 3. In the present invention, the device has powerful intelligent data processing and analysis capabilities, and can automatically process, integrate and judge the collected data, and accurately identify faults and fire situations; at the same time, through advanced wireless communication technology, remote monitoring function is realized, and staff can view the real-time status information of the transmission lines and the surrounding environment through the software platform of the remote monitoring center anytime and anywhere, and perform remote control and parameter adjustment; this not only improves operation and maintenance efficiency, but also facilitates staff to make decisions in a timely manner, ensuring the safe and stable operation of the power system; the adaptive rate adjustment and data encryption functions of the communication module further enhance the stability and security of data transmission, ensuring the reliable transmission of information.

[0031] 4. In the present invention, a power supply method combining solar energy and lithium batteries is adopted, which enables the device to operate stably for a long time in complex outdoor environments without relying on external power sources, greatly improving the adaptability and independence of the device; the intelligent charging management and power status monitoring functions of the power module effectively extend the service life of the lithium battery and ensure the continuous and stable power supply of the device; in addition, the device has a compact structure and is easy to install. It can be flexibly deployed according to the actual situation of the transmission line and monitoring requirements, and has strong practicality and scalability. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] Figure 1 It is a schematic diagram of the overall system process in the present invention. DETAILED DESCRIPTION

[0033] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. 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 making creative efforts are within the scope of protection of the present invention.

[0034] Example 1:

[0035] like Figure 1 As shown, an embodiment of the present invention provides a transmission line fault and wildfire detection device, including a sensor module, a data acquisition module, a data processing module, a fault and wildfire judgment module, a communication module, an alarm module and a battery module;

[0036] The sensor module includes a current sensor, a temperature sensor, an image sensor, an infrared sensor, an ultraviolet sensor, an ultrasonic sensor, an atmospheric electric field sensor, and a gas sensor, which is used to collect data on the current, temperature, image, infrared radiation, ultraviolet light, ultrasonic wave, atmospheric electric field, and gas concentration of the transmission line;

[0037] The data acquisition module is used to receive and preliminarily process the data collected by the sensor module to ensure the integrity and accuracy of the data;

[0038] The data processing module is used to integrate and analyze the collected multi-source data. For continuous data such as current and temperature, data filtering and feature extraction methods are used to extract key parameters that can reflect the characteristics of transmission line faults. For visual and radiation data such as images, infrared, and ultraviolet, image processing algorithms and pattern recognition technology are used to identify possible signs of wildfires and fault locations. For sensor data such as ultrasonic waves, atmospheric electric fields, and gases, signal analysis and feature matching algorithms are used to determine the occurrence and development of wildfires, and extract key information that can reflect the characteristics of transmission line faults and signs of wildfires.

[0039] Fault and wildfire detection: Based on data from current and temperature sensors, combined with historical fault data and preset fault thresholds, it determines whether a short circuit, overload, or grounding fault has occurred in the transmission line. It also uses data from infrared, ultraviolet, image, and gas sensors to determine whether a wildfire has occurred.

[0040] Communication module, used to send detected power line faults and wildfire information to the remote monitoring center or relevant personnel in a timely manner;

[0041] An alarm module is used to send out audible and visual alarm signals when a power line fault or wildfire is detected, and to generate corresponding alarm information;

[0042] The power module is used to provide a stable power supply for the entire device.

[0043] The current sensor is a TMR current sensor or a Hall effect sensor, which is used to measure the current size and changes in the transmission line with high precision. The sensor converts the measured current signal into a voltage signal and transmits it to the signal processing circuit for amplification, filtering, and analog-to-digital conversion. The processed digital signal is finally sent to the data acquisition module. The temperature sensor is a thermocouple, thermal resistor, or infrared temperature sensor, which is used to measure the temperature of the transmission line and the temperature changes of the surrounding environment. For contact temperature sensors, ensure good contact with the object to be measured to ensure measurement accuracy. For non-contact infrared temperature sensors, adjust the measurement angle and distance so that it can accurately measure the temperature of the target object. The temperature sensor collects the temperature data of the transmission line and the temperature changes of the surrounding environment in real time and transmits the data to the data acquisition module. Image sensors include visible light cameras and thermal imaging cameras, which are used to collect visible light images and thermal imaging images of transmission lines and their surrounding areas; infrared sensors are used to monitor changes in infrared radiation intensity in the surrounding environment in real time to detect the occurrence and development of wildfires; ultraviolet sensors are used to accurately identify ultraviolet light signals generated by wildfires under complex ambient light backgrounds; ultrasonic sensors are used to receive ultrasonic signals generated during wildfire combustion and analyze the characteristics of the signals; atmospheric electric field sensors are used to monitor changes in the atmospheric electric field in real time to assist in judging the occurrence and development of wildfires; gas sensors include smoke sensors, carbon monoxide sensors, carbon dioxide sensors and volatile organic compound sensors, which are used to detect the concentrations of smoke, carbon monoxide, carbon dioxide and volatile organic compound gases generated by wildfires.

[0044] A transmission line fault and wildfire detection device comprises the following steps:

[0045] Data acquisition: The sensor module collects data on the transmission line's current, temperature, image, infrared radiation, ultraviolet light, ultrasound, atmospheric electric field, and gas concentration;

[0046] Data processing: The data processing module integrates and analyzes the collected multi-source data to extract key information that can reflect the characteristics of power transmission faults and signs of wildfires;

[0047] Fault and wildfire judgment: Based on the key information obtained in the data processing step, it is determined whether a transmission line fault has occurred and whether a wildfire has occurred;

[0048] Communication and alarm: When a transmission line fault or wildfire is detected, the relevant information is sent to the remote monitoring center or relevant staff through the communication module, and the alarm module sends out sound and light alarm signals and generates corresponding alarm information.

[0049] In the data processing step, continuous data such as current and temperature are processed using data filtering and feature extraction methods, image, infrared, ultraviolet visual and radiation data are processed using image processing algorithms and pattern recognition technology, and sensor data such as ultrasonic waves, atmospheric electric fields, and gases are processed through signal analysis and feature matching algorithms.

[0050] In the fault and wildfire judgment step, the transmission line fault is judged based on the data of the current sensor and temperature sensor combined with the historical fault data and the preset fault threshold, and the occurrence of wildfire is judged based on the data of the infrared sensor, ultraviolet sensor, image sensor and gas sensor.

[0051] It also includes a computer-readable storage program, which implements the steps of the power transmission line fault and wildfire detection method according to any one of claims 3 to 5 when the computer-readable storage program is executed by a processor.

[0052] The power module adopts the combination of solar panels and lithium batteries. The solar panels adopt a foldable design. The lithium batteries are set under the solar panels and adopt a sealed design to prevent rain and dust from entering.

[0053] The working principles of various sensors in detection are described in detail:

[0054] The working principle of the infrared sensor used for transmission line fault detection: When the transmission line is operating normally, the temperature of each part is relatively stable; when a fault occurs, such as poor contact or overload at the wire connection, according to Joule's law, the resistance of the fault part increases, which generates more heat and causes the local temperature to rise significantly; the infrared sensor works based on the thermal radiation characteristics of the object. The infrared detector inside it can receive the infrared radiation energy emitted by the object and convert it into an electrical signal; these electrical signals are processed by the signal processing and amplification circuit to generate images or data corresponding to the temperature; through in-depth analysis of these images and data, using advanced temperature analysis algorithms, the location and temperature of the heating part can be accurately determined; for example, using the temperature threshold judgment method, when the temperature of a certain part is detected to be significantly higher than the normal operating temperature range, it can be highly suspected that the part may have a fault such as poor contact or overload;

[0055] UV sensors: Under normal circumstances, the electric field strength on the surface of transmission lines is within a safe range and will not produce corona discharge. However, when the electric field strength on the surface of the conductor exceeds a certain critical value, it will ionize the surrounding air and generate ultraviolet radiation. UV sensors use detectors with high sensitivity to ultraviolet light and can accurately capture these weak UV signals. Under complex and changing ambient light conditions, the UV sensor uses a built-in advanced optical filtering system to effectively filter out interference from other light sources, ensuring that only UV light signals related to corona discharge are received. At the same time, combined with advanced signal processing technology, the detected UV signal is analyzed for its intensity, distribution and other characteristics. Based on these characteristics, the location, intensity and development trend of corona discharge can be accurately assessed. For example, through continuous monitoring and analysis of UV signal strength, if a persistent and strong UV signal is found on the surface of a certain section of transmission line, it indicates that a more serious corona discharge fault exists in that area and requires timely maintenance to prevent further deterioration of the fault.

[0056] Ultrasonic sensors generate ultrasonic signals in the surrounding medium when partial discharge occurs in the transmission line. These ultrasonic signals propagate in the air at a specific frequency, amplitude, and phase. Different types of faults will generate ultrasonic signals with different characteristics due to differences in their generation mechanisms and physical processes. The ultrasonic sensor array is scientifically and reasonably distributed and installed near the transmission line, which can efficiently receive these ultrasonic signals. After receiving the signal, the sensor uses advanced signal processing algorithms such as spectrum analysis and time domain analysis to conduct an in-depth analysis of the signal and extract key characteristic parameters. These characteristic parameters are then accurately compared with a pre-established detailed fault feature library. The fault feature library contains ultrasonic signal characteristic patterns corresponding to various known fault types. By comparing them, the type and specific location of the fault can be accurately determined. For example, when the detected ultrasonic signal frequency and amplitude are highly matched with the characteristic pattern corresponding to a broken wire strand, it can be clearly determined that the wire at that location may have a broken strand fault.

[0057] Atmospheric electric field sensor: When the transmission line is operating normally, the atmospheric electric field around it is in a relatively stable state. When a transmission line fails, especially a corona discharge fault, the surrounding air will be ionized, forming a large amount of space charge. The distribution and movement of these space charges cause the distribution of the atmospheric electric field to change. The atmospheric electric field sensor uses a high-precision electric field measurement probe to continuously monitor the atmospheric electric field intensity and change rate in the area around the transmission line in real time. When a sudden increase in the atmospheric electric field intensity or an abnormal change trend is detected, this may be an important signal of a transmission line fault. However, the change in the atmospheric electric field may be affected by many factors, so it is necessary to combine the data of other sensors for comprehensive judgment. For example, if a strong corona discharge signal is detected by the ultraviolet sensor at the same time, and the atmospheric electric field sensor detects an abnormal change in the atmospheric electric field, then it can be more certain that there is a corona discharge fault in the transmission line, improving the accuracy and reliability of fault judgment.

[0058] Gas sensor: During the long-term operation of transmission lines, due to electrical aging, local overheating and other reasons, its insulation material may age and decompose, producing some characteristic gases, such as carbon monoxide, carbon dioxide, ozone, etc.; gas sensors use different detection principles to achieve accurate measurement of gas concentration for these characteristic gases; taking the sensor for detecting carbon monoxide as an example, it works based on the electrochemical principle, and there are special electrolytes and electrodes inside the sensor; when carbon monoxide gas enters the sensor, it undergoes an oxidation-reduction reaction with the electrolyte, and generates a current signal on the electrode that is proportional to the carbon monoxide concentration; through high A high-precision current measurement circuit accurately measures this current signal and, after complex algorithm conversion, can accurately determine the concentration of carbon monoxide in the environment. When an abnormally high carbon monoxide concentration is detected, this strongly indicates that the insulation material may be aging and decomposing, indicating a potential fault in the transmission line. For example, the detection of ozone by an ozone sensor can assist in determining the presence of corona discharge. Because corona discharge produces ozone, changes in ozone concentration can reflect the intensity and duration of the corona discharge. By monitoring the changing trend of ozone concentration in real time and combining it with other sensor data, a more comprehensive assessment of the operating status of the transmission line can be achieved.

[0059] Working principle for wildfire monitoring:

[0060] Infrared sensors: Wildfires release enormous amounts of energy during combustion, generating strong infrared radiation. The intensity and distribution of this infrared radiation are closely related to factors such as the scale of the wildfire, the intensity of combustion, and the burning material. Infrared sensors can keenly detect the infrared radiation emitted by wildfires and convert it into electrical signals. Advanced signal processing algorithms accurately analyze the intensity and distribution of infrared radiation, and specialized image recognition and positioning algorithms can accurately determine the location and approximate range of the wildfire. For example, edge detection and contour analysis of infrared radiation images can clearly outline the boundaries of the wildfire, thereby determining its range. In addition, continuous real-time monitoring and analysis of infrared radiation intensity over a period of time can accurately determine the development trend of the wildfire. If the infrared radiation intensity is found to continue to rise, it means that the burning intensity of the wildfire is increasing and the fire may be spreading and expanding. Conversely, if the intensity gradually decreases, it may mean that the wildfire is being controlled or gradually extinguished. This real-time grasp of the development trend of the wildfire provides an important basis for timely and effective firefighting and prevention and control measures.

[0061] Ultraviolet sensors: When wildfires burn, the high temperature causes gas molecules in the air to ionize, generating ultraviolet light. Although the ultraviolet light generated by wildfires is relatively weak compared to strong light sources such as the sun, under specific environmental conditions, especially at night or in low-light environments, ultraviolet sensors can effectively capture these weak ultraviolet signals. The ultraviolet sensor uses a highly sensitive ultraviolet detector and an advanced optical filtering system, which can accurately identify the ultraviolet light signals generated by wildfires under complex ambient light backgrounds. By analyzing the intensity, frequency and other characteristics of the ultraviolet light signal, it can assist in determining the presence and location of the wildfire. For example, at night, when the ambient light is weak, the strong ultraviolet signal detected by the ultraviolet sensor is likely to come from the wildfire. Combined with the direction and intensity distribution of the signal, the approximate location of the wildfire can be further determined. In addition, changes in the ultraviolet light signal can also reflect the intensity of the wildfire, providing additional information for assessing its development.

[0062] Ultrasonic sensors: Wildfires cause violent air movement and vibration, generating ultrasonic signals of various frequencies and intensities. The characteristics of these ultrasonic signals are related to factors such as the scale and speed of the wildfire, and the type of burning material. Ultrasonic sensors receive these ultrasonic signals and use advanced signal processing technology to analyze the frequency, amplitude, phase and other characteristics of the signals. For example, large-scale and intense wildfires produce ultrasonic signals with higher intensity and a wider frequency range, while small-scale or slow-burning wildfires produce ultrasonic signals with relatively lower intensity and a narrower frequency range. By identifying and analyzing these characteristics, relevant information about the wildfire can be obtained, such as the severity of the burning and the direction of the fire's spread, which helps to more comprehensively understand the wildfire situation and provide a reference for formulating scientific firefighting strategies.

[0063] Atmospheric electric field sensors: The occurrence and development of wildfires will have a significant impact on the surrounding atmospheric environment, causing changes in the atmospheric electric field. The high temperature generated by wildfires will ionize the air, forming a large number of charged particles. The distribution and movement of these charged particles change the intensity and distribution of the atmospheric electric field. Atmospheric electric field sensors use high-precision electric field measurement devices to monitor changes in the atmospheric electric field in real time. When abnormal electric field changes related to wildfires are detected, combined with data from other sensors, they can assist in judging the occurrence and development of wildfires. For example, in the early stages of a wildfire, the atmospheric electric field may show some subtle changes, such as a slight increase in electric field intensity or a change in electric field direction. These changes can serve as early warning signals for wildfires, providing information to relevant departments in advance so that timely preventive measures can be taken. As the wildfire develops, changes in the atmospheric electric field will become more obvious. By continuously monitoring these changes, we can further understand the scale and development trend of the wildfire.

[0064] Gas sensor: Wildfire combustion is a complex chemical process that releases a large amount of smoke and various gases, including carbon monoxide, carbon dioxide, hydrocarbons, etc.; at the same time, in the early stages of a wildfire, vegetation will release some special volatile organic compounds (VOCs) during the slow oxidation process, such as terpenes; gas sensors use multiple detection principles to accurately measure the gas concentration of these wildfire-related gases.

[0065] The smoke sensor part of the gas sensor usually uses the principle of light scattering or resistance change to detect smoke concentration. Taking the light scattering smoke sensor as an example, it has a light-emitting element and a light-receiving element inside. When smoke enters the sensor, the particles in the smoke will scatter the light emitted by the light-emitting element, causing the light intensity received by the light-receiving element to change. The sensor can obtain smoke concentration information by accurately detecting this light intensity change and calculating it through a complex algorithm.

[0066] Sensors that are sensitive to combustion product gases such as carbon monoxide and carbon dioxide monitor the concentration of these gases in real time through specific chemical reactions or physical adsorption principles. When the concentration of these gases and the smoke concentration exceed the normal environmental levels at the same time, it can be judged that a wildfire may have occurred nearby.

[0067] Gas sensors sensitive to VOCs can detect characteristic gases released by the slow oxidation of vegetation in the early stages of a wildfire; even when there are no obvious signs of smoke or high temperatures, as long as the concentration of these characteristic gases is detected to be elevated, it can provide early warning of the possibility of a wildfire, buying valuable time for timely preventive measures.

[0068] While 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 these 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 and forest fire detection device, characterized by: It includes sensor module, data acquisition module, data processing module, fault and wildfire judgment module, communication module, alarm module and battery module; The sensor module includes a current sensor, a temperature sensor, an image sensor, an infrared sensor, an ultraviolet sensor, an ultrasonic sensor, an atmospheric electric field sensor, and a gas sensor, which is used to collect data on the current, temperature, image, infrared radiation, ultraviolet light, ultrasonic wave, atmospheric electric field, and gas concentration of the transmission line; The data acquisition module is used to receive and preliminarily process the data collected by the sensor module to ensure the integrity and accuracy of the data; The data processing module is used to integrate and analyze the collected multi-source data to extract key information that can reflect the characteristics of transmission line faults and signs of wildfires; Fault and wildfire detection: Based on data from current and temperature sensors, combined with historical fault data and preset fault thresholds, it determines whether a short circuit, overload, or grounding fault has occurred in the transmission line. It also uses data from infrared, ultraviolet, image, and gas sensors to determine whether a wildfire has occurred. Communication module, used to send detected power line faults and wildfire information to the remote monitoring center or relevant personnel in a timely manner; An alarm module is used to send out audible and visual alarm signals when a power line fault or wildfire is detected, and to generate corresponding alarm information; The power module is used to provide a stable power supply for the entire device.

2. A transmission line fault and forest fire detection device according to claim 1, characterized in that: The current sensor is a TMR current sensor or a Hall sensor, which is used to measure the current size and changes in the transmission line with high precision; the temperature sensor is a thermocouple, a thermistor or an infrared temperature sensor, which is used to measure the temperature of the transmission line and the temperature changes of the surrounding environment; the image sensor includes a visible light camera and a thermal imaging camera, which is used to collect visible light images and thermal imaging images of the transmission line and its surrounding areas; the infrared sensor is used to monitor the changes in the infrared radiation intensity of the surrounding environment in real time to detect the occurrence and development of wildfires; the ultraviolet sensor is used to accurately identify the ultraviolet light signals generated by wildfires under complex ambient light backgrounds; the ultrasonic sensor is used to receive the ultrasonic signals generated during the burning process of wildfires and analyze the characteristics of the signals; the atmospheric electric field sensor is used to monitor the changes in the atmospheric electric field in real time to assist in judging the occurrence and development of wildfires; the gas sensor includes a smoke sensor, a carbon monoxide sensor, a carbon dioxide sensor and a volatile organic compound sensor, which are used to detect the concentrations of smoke, carbon monoxide, carbon dioxide and volatile organic compound gases generated by wildfires.

3. A transmission line fault and forest fire detection device, characterized by: The following steps are involved: Data acquisition: The sensor module collects data on the transmission line's current, temperature, image, infrared radiation, ultraviolet light, ultrasound, atmospheric electric field, and gas concentration; Data processing: The data processing module integrates and analyzes the collected multi-source data to extract key information that can reflect the characteristics of power transmission faults and signs of wildfires; Fault and wildfire judgment: Based on the key information obtained in the data processing step, it is determined whether a transmission line fault has occurred and whether a wildfire has occurred; Communication and alarm: When a transmission line fault or wildfire is detected, the relevant information is sent to the remote monitoring center or relevant staff through the communication module, and the alarm module sends out sound and light alarm signals and generates corresponding alarm information.

4. The transmission line fault and forest fire detection device according to claim 1, characterized in that: In the data processing step, continuous data such as current and temperature are processed using data filtering and feature extraction methods, image, infrared, ultraviolet visual and radiation data are processed using image processing algorithms and pattern recognition technology, and sensor data such as ultrasonic waves, atmospheric electric fields, and gases are processed through signal analysis and feature matching algorithms.

5. The transmission line fault and wildfire detection device according to claim 1, characterized in that: In the fault and wildfire judgment step, the transmission line fault is judged based on the data of the current sensor and temperature sensor combined with the historical fault data and the preset fault threshold, and the occurrence of wildfire is judged based on the data of the infrared sensor, ultraviolet sensor, image sensor and gas sensor.

6. The transmission line fault and wildfire detection device according to claim 1, characterized in that: It also includes a computer-readable storage program, which, when executed by a processor, implements the steps of the power transmission line fault and wildfire detection method according to any one of claims 3 to 5.

7. The transmission line fault and wildfire detection device according to claim 1, characterized in that: The power module adopts a combination of solar panels and lithium batteries. The solar panels adopt a foldable design. The lithium batteries are arranged under the solar panels and adopt a sealed design to prevent rain and dust from entering.

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