A method and device for wound resistor temperature fuse

Abstract

The present invention relates to the field of electrical equipment protection technology, and discloses a method and device for a wire-wound resistor temperature fuse, which includes the following steps: sensor data acquisition: integrating a variety of sensors in the working area of ​​the wire-wound resistor temperature fuse, including temperature sensors, current sensors, vibration sensors, humidity sensors, and light sensors, and acquiring corresponding environmental data in real time; data fusion and processing: performing data fusion processing on the multi-dimensional data collected by each sensor to obtain real-time working status information of the temperature control fuse. Through intelligent temperature control protection, data fusion and adaptive adjustment, the safety and stability of the equipment are improved. Multiple sensors monitor the parameters of temperature and current in real time, and can quickly respond to abnormal conditions of overheating and overload, effectively preventing equipment damage. Through wireless communication technology, remote monitoring and alarm are supported, which is convenient for users to manage and maintain in real time, ensuring long-term stable operation of the equipment.

Description

Technical Field

[0001] The invention relates to the technical field of electrical equipment protection, in particular to a method and a device for a wire-wound resistor temperature fuse. Background Art

[0002] With the continuous development of electronic equipment and electrical products, temperature control and overload protection have become important technical means to ensure the safe operation of equipment. Traditional temperature fuses use a single temperature trigger mechanism, that is, when the temperature of the resistance wire exceeds the set value, the fuse melts, cuts off the circuit, and protects the equipment from overheating damage. However, with the changes in equipment load and the complexity of environmental conditions, traditional temperature control solutions have certain limitations in accuracy, response speed, and adaptability.

[0003] The wire-wound resistor temperature fuse in the prior art only relies on temperature sensors and simple overload protection mechanisms, lacking intelligent analysis and response to multiple factors. Traditional solutions only have a single temperature protection function, and often cannot automatically adjust the temperature control strategy according to the external environment (such as humidity, vibration, etc.). In addition, the lack of intelligent early warning and remote monitoring functions makes it impossible to notify users in time when the equipment is abnormal, increasing equipment damage and maintenance difficulties. Therefore, the prior art cannot effectively cope with complex working environments and dynamic load changes, and is prone to overheating, overload and other faults. Summary of the invention

[0004] In view of the deficiencies in the prior art, the present invention provides a wire-wound resistor temperature fuse method and device, which solves the problems of the prior art lacking intelligence, multi-factor adaptability and remote monitoring functions.

[0005] To achieve the above objectives, the present invention is implemented through the following technical solutions: a wire wound resistor temperature fuse method, comprising the following steps:

[0006] Sensor data acquisition: Integrate a variety of sensors in the working area of ​​the wire-wound resistor temperature fuse, including temperature sensors, current sensors, vibration sensors, humidity sensors and light sensors, and collect corresponding environmental data in real time;

[0007] Data fusion and processing: The multi-dimensional data collected by each sensor is fused and processed to obtain the real-time working status information of the temperature control fuse;

[0008] Temperature control decision and protection: Intelligent judgment is made based on the fused data. When the temperature, current or other environmental parameters exceed the preset threshold, the protection mechanism is triggered to control the current switch or adjust the load to avoid overheating or equipment damage.

[0009] Remote monitoring and alarm: The processed data is uploaded to the remote management platform through the wireless communication module, and the data of each sensor is displayed in real time. When an abnormality occurs, an alarm is triggered and fault warning information is sent to the user;

[0010] Adaptive learning and optimization: Adaptively adjust the temperature control protection threshold according to historical data and operating conditions, optimize temperature control decisions, and improve the responsiveness of the protection system.

[0011] Preferably, the data fusion processing step uses a Kalman filter algorithm or a particle filter algorithm to fuse the sensor data.

[0012] Preferably, the protection mechanism includes over-temperature protection and overload protection, specifically: when the temperature exceeds a set threshold, the current is disconnected or adjusted; when the current exceeds a set safety value, the power supply is immediately disconnected to prevent damage to the equipment.

[0013] Preferably, the wireless communication module uses LoRa, ZigBee or Wi-Fi protocol to transmit data to the remote management platform.

[0014] Preferably, the remote management platform is used to display the temperature, current, humidity, and vibration data of the equipment in real time, and to issue intelligent alarms and warnings according to the equipment status.

[0015] A wire-wound resistor temperature fuse device, comprising:

[0016] The sensor module is used to install a variety of sensors in the working area of ​​the wire-wound resistor temperature fuse, including temperature sensors, current sensors, vibration sensors, humidity sensors and light sensors, so as to collect various environmental data in real time;

[0017] The microprocessor module is used to receive and process data from the sensor module, and perform intelligent analysis and judgment according to the preset algorithm to generate protection decisions;

[0018] The current control module is used to adjust the flow of current according to the instructions of the microprocessor module, perform over-temperature protection and overload protection functions, and disconnect the power supply or adjust the load in time;

[0019] Wireless communication module, used to transmit sensor data and protection status to the remote management platform in real time, so as to realize remote monitoring and intelligent alarm of equipment;

[0020] The power management module is used to provide the power required by the system and has a low-power standby function to extend the service life of the system.

[0021] Preferably, the microprocessor module adopts an ARM Cortex-M series processor and has an adaptive learning algorithm to adjust the temperature control protection strategy according to the historical data and real-time data of the device.

[0022] Preferably, the current control module uses a relay or a solid-state relay as a current switch, which can quickly respond to current overload or overheating conditions.

[0023] Preferably, the sensor module includes a temperature sensor, a humidity sensor, a vibration sensor, a current sensor and a light sensor, and the sensor data are fused and processed by a microprocessor module to optimize the temperature control protection strategy.

[0024] Preferably, the wireless communication module supports LoRa, ZigBee or Wi-Fi communication protocols, can stably transmit data under different environmental conditions, and supports real-time monitoring of device status and fault warning by a remote management platform.

[0025] The present invention provides a method and device for a wire-wound resistor temperature fuse, which has the following beneficial effects:

[0026] 1. The present invention realizes accurate monitoring and real-time feedback of temperature and current by integrating multiple sensors and adopting data fusion algorithm. When the equipment encounters abnormal conditions of overheating or overload, the system can immediately activate the protection mechanism, such as automatically cutting off the current or adjusting the current, which significantly reduces the risk of damage to the equipment caused by overheating or overload, and improves the safety and reliability of the equipment.

[0027] 2. The intelligent temperature control system of the present invention can automatically adjust the temperature control threshold and protection strategy according to the real-time environmental conditions. In a high humidity environment, the system will automatically lower the temperature control threshold to prevent the negative impact of humidity on the performance of the resistance wire and avoid malfunction or damage caused by humidity changes. This adaptive adjustment mechanism enables the system to maintain good stability in different working environments and reduce failures or performance degradation caused by environmental changes.

[0028] 3. Through wireless communication technology, the present invention can upload the status data of the device to the cloud platform or local monitoring system in real time, support remote monitoring and fault alarm functions. When the system detects that the device is abnormal, the platform will automatically send an early warning message to the user to remind the user to take appropriate measures. This function greatly reduces the user's equipment management burden, improves the equipment maintenance efficiency, and ensures the long-term and stable operation of the equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] Figure 1 The present invention is a flow chart of the method. DETAILED DESCRIPTION

[0030] The following will be combined with the drawings in the specification 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] Please refer to the attached Figure 1 The embodiment of the present invention provides an intelligent wire wound resistor temperature fuse method and device, which can realize accurate temperature control protection, fault warning and remote monitoring of equipment by integrating multiple sensors, data fusion algorithms and intelligent protection mechanisms. The technical details of the present invention will be fully described below in conjunction with specific implementation plans to better understand the principles and applications of the present invention.

[0032] 1. Hardware design and sensor integration

[0033] 1.1 Composition of Wirewound Resistor Thermal Fuse

[0034] The thermal fuse of the present invention is based on a wound resistor, and a resistor material with high thermal sensitivity, such as a nickel-chromium alloy, is selected, which has good temperature response characteristics. When the ambient temperature rises, the resistance value increases accordingly. When current passes through the resistance wire, the resistor generates heat and the temperature rises. When the temperature reaches a certain critical value, the resistance characteristics of the resistance wire will change significantly, serving as a trigger point to start the protection mechanism.

[0035] 1.2 Design of multi-sensor module

[0036] In order to improve the intelligent level of the temperature control system, the present invention uses multiple sensors to work together, mainly including:

[0037] Temperature sensor (such as PT100 or thermocouple): used to monitor the temperature change of the winding resistor in real time to ensure the temperature control accuracy of the resistance wire.

[0038] Current sensor (such as Hall effect sensor or shunt resistor): used to monitor the current flowing through the resistor wire and send an alarm signal when the current exceeds the safe range.

[0039] Vibration sensor (such as accelerometer): used to monitor whether the equipment has abnormal vibration, detect whether the equipment is in an abnormal working state, and help determine whether there is a mechanical failure.

[0040] Humidity sensor (such as capacitive humidity sensor): used to determine the impact of ambient humidity on the equipment and avoid long-term corrosion of electronic components or resistance wires caused by excessive humidity.

[0041] Light sensors (such as photoresistors): can be used to measure the ambient light intensity, which helps to assess possible temperature changes if the lighting conditions in the working environment vary greatly.

[0042] These sensors are all connected to the microprocessor module, which is responsible for data acquisition and processing.

[0043] 2. Data collection and fusion processing

[0044] 2.1 Data Collection

[0045] During the working process, all the collected data of the sensors will be sent to the microprocessor module for processing. The microprocessor module adopts high-speed sampling and processing technology to monitor the environmental data in real time, ensuring that the system can grasp the working status of the equipment at any time. In order to further improve the accuracy and reliability of the data, the microprocessor module is equipped with a high-precision A / D converter to ensure the accurate collection of sensor data.

[0046] 2.2 Data fusion and processing

[0047] In order to improve the system's ability to perceive multiple factors, the present invention adopts a data fusion algorithm. The fusion algorithm combines the data of multiple sensors, processes and analyzes them, and obtains a more accurate device status.

[0048] Specifically, multi-dimensional data such as temperature, current, vibration, humidity, etc. will be fused through the Kalman filter algorithm or particle filter algorithm to eliminate noise interference and further improve the accuracy of fault warning. The Kalman filter can perform weighted averaging on the measurement results of multiple sensors based on current state estimation and historical data to obtain a more accurate estimate. This process can effectively avoid errors caused by single sensor failure or environmental interference.

[0049] 3. Temperature control decision and protection mechanism

[0050] 3.1 Over temperature protection

[0051] When the temperature sensor detects that the temperature of the winding resistor exceeds a predetermined safety threshold (e.g. 80°C), the microprocessor module will execute the protection mechanism. At this time, the microprocessor cuts off the current through the current control module, or adjusts the current to reduce the temperature of the resistor wire to a safe range. The current is usually cut off by a relay or solid-state relay (SSR) to ensure that the protection action is fast and reliable.

[0052] In addition, the microprocessor will diagnose the status of the equipment and send an alarm signal to the wireless communication module. The alarm system will send the alarm information to the user through the remote management platform.

[0053] 3.2 Overload protection

[0054] If the current sensor detects that the current exceeds the predetermined safety value (such as the overload current reaches 150% of the rated value), the microprocessor will start the protection program again. At this time, the system will automatically take power-off protection to prevent the equipment from being damaged due to overload. The protection action is also executed by the current control module (such as a relay or SSR) to quickly cut off the current supply.

[0055] 3.3 Mechanical failure warning

[0056] The vibration sensor monitors the vibration of the equipment in real time. When the vibration sensor detects abnormal vibration of the equipment, the microprocessor will determine whether there is a mechanical fault and decide whether to take protective measures. These faults include loose equipment connections, structural damage, or other faults that may cause the equipment to not operate normally.

[0057] 3.4 Environmental humidity warning

[0058] The humidity sensor can monitor the humidity environment around the device in real time. If the humidity is too high, the system will automatically adjust the working strategy to avoid corrosion of electronic components or changes in resistance wire performance caused by excessive humidity. Humidity information will also be transmitted to the remote management platform, allowing users to understand the working environment of the device.

[0059] 4. Wireless communication and remote monitoring

[0060] 4.1 Wireless Communication Module

[0061] The temperature-controlled fuse system of the present invention is equipped with a wireless communication module that supports LoRa, ZigBee or Wi-Fi protocols. The module can automatically upload the working status of the device to the cloud platform or local management system in the event of device failure or early warning. Communication distance and stability are the key to the design, ensuring that the system can maintain stable communication even in complex industrial environments.

[0062] 4.2 Remote management and fault warning

[0063] Through the remote management platform, users can view the device's temperature, current, vibration, humidity and other data in real time, and schedule it according to the device's health status. If the system detects any abnormality, the platform will immediately generate an alarm message and send the warning information to the user via SMS, email or push notification. This real-time monitoring and alarm function can significantly improve the safety of the device and avoid damage to the device due to failure.

[0064] 5. Adaptive learning and optimization

[0065] 5.1 Adaptive Learning Algorithm

[0066] The microprocessor module of the present invention has adaptive learning capabilities. By analyzing the historical operation data of the device, the microprocessor can autonomously adjust the temperature control threshold and protection strategy according to the environmental changes and failure modes of the long-term operation of the device. For example, after a long period of low-load operation, the system may automatically adjust the current protection value to make the system more efficient under different loads.

[0067] 5.2 Optimization Strategy

[0068] Based on historical data and real-time monitoring data, the microprocessor can continuously optimize the temperature control protection strategy. This intelligent optimization strategy can automatically adjust the operating status of the equipment, ensure the improvement of temperature control accuracy, and improve the operating efficiency of the equipment.

[0069] 6. Energy management and self-powered design

[0070] The present invention also has an energy management function to ensure the stable operation of the device without an external power supply. To this end, the system adopts energy harvesting technology, such as thermoelectric energy harvesting, vibration energy harvesting, etc. When the system is working, the collected heat or vibration energy can be converted into electrical energy to provide energy for sensors and microprocessors, thereby realizing the self-powered design of the device and reducing the dependence on external power supply.

[0071] Embodiment 1: Data fusion and temperature control protection of wound resistor temperature fuse method based on Kalman filtering

[0072] Steps and process parameters:

[0073] Sensor Installation:

[0074] Temperature sensor: Choose PT100 platinum resistance temperature sensor and install it on the outside of the wound resistor to ensure synchronization with the temperature change of the resistance wire.

[0075] Current sensor: Select a Hall effect sensor and install it at the current input to monitor the current passing through the resistor.

[0076] Vibration sensor: A three-axis acceleration sensor is installed on the device casing to detect device vibration.

[0077] Humidity sensor: Use a capacitive humidity sensor, placed in the relative position of the resistance wire working environment, to monitor the ambient humidity.

[0078] Data collection and preprocessing:

[0079] The temperature, current, vibration, and humidity sensor data are collected once a second, and the sensor output signals are converted into digital signals through A / D converters.

[0080] The collected data is fused through the Kalman filter algorithm to eliminate sensor noise and improve data accuracy.

[0081] Temperature control protection decision:

[0082] Temperature protection: When the temperature sensor detects that the temperature exceeds the set threshold (e.g. 80°C), the microprocessor controls the relay to immediately cut off the power supply to prevent overheating and damage to the equipment.

[0083] Current protection: When the current sensor detects that the current exceeds 150% of the rated current, the microprocessor cuts off the current through the current control module.

[0084] Wireless communication and remote monitoring:

[0085] The system uses the LoRa communication module to upload data to the remote monitoring platform for real-time data display and fault warning.

[0086] Process parameters:

[0087] Temperature threshold: 80°C (overheat protection start temperature)

[0088] Current threshold: 150% rated current

[0089] Data sampling period: 1 second

[0090] Kalman filter accuracy: 4 bits

[0091] Wireless communication protocol: LoRa

[0092] Comparative Example 1: The traditional temperature-controlled fuse solution relies on a single temperature sensor and overload protection mechanism and cannot perform data fusion and environmental adaptability adjustment.

[0093] Comparative analysis:

[0094] Response speed: The Kalman filter implementation utilizes multi-sensor data fusion, which has a faster response speed and can monitor multi-dimensional data such as temperature, current, and vibration in real time. Traditional solutions rely only on a single temperature sensor, which has a slow response and is difficult to cope with load fluctuations.

[0095] Protection accuracy: The Kalman filter solution has a stronger ability to process multi-sensor data and can accurately identify abnormal conditions such as temperature and current, with higher protection accuracy. The protection accuracy of traditional solutions is limited by the accuracy of a single sensor.

[0096] System stability: Kalman filtering can effectively reduce noise and errors, making the system more stable. Traditional solutions are easily affected by external environmental interference, resulting in inaccurate or delayed protection actions.

[0097] Embodiment 2: Data fusion and temperature control protection of wire-wound resistor temperature fuse method based on particle filtering

[0098] Steps and process parameters:

[0099] Sensor Installation:

[0100] Temperature sensor: Thermocouple temperature sensor is used to adapt to high temperature environment. It is installed near the wound resistor to monitor the temperature of the resistance wire.

[0101] Current sensor: uses a shunt resistor, installed in the current path, to measure the current flowing through the resistor wire.

[0102] Vibration sensor: Use acceleration sensor to detect equipment vibration and possible mechanical failure.

[0103] Humidity sensor: Choose a capacitive humidity sensor and place it in the device environment to detect humidity changes.

[0104] Data collection and preprocessing:

[0105] The sensor data is collected once a second, converted into digital signals by an A / D converter, and input into the microprocessor.

[0106] The particle filter algorithm is used to fuse multi-sensor data to eliminate the noise of sensor data, and the fused data is used as the input for temperature control protection decision-making.

[0107] Temperature control protection decision:

[0108] Temperature protection: When the system detects that the temperature exceeds the set value (e.g. 85°C), the microprocessor immediately controls the current control module to cut off the current.

[0109] Overload protection: When the current sensor detects that the current exceeds the safe value (for example, the current reaches 150% of the rated current), the system starts protection and immediately disconnects the power supply.

[0110] Wireless communication and remote monitoring:

[0111] The ZigBee protocol is used to transmit data to a remote cloud platform, where users can view device status, fault warnings and other information.

[0112] Process parameters:

[0113] Temperature threshold: 85°C (overheat protection start temperature)

[0114] Current threshold: 150% rated current

[0115] Data sampling period: 1 second

[0116] Particle filter accuracy: 5 particles

[0117] Wireless communication protocol: ZigBee

[0118] Comparative Example 2: Traditional mechanical temperature-controlled fuses rely on the physical fusing principle to protect equipment. Once overheating or overload occurs, they cannot recover in time and lack intelligent adjustment.

[0119] Comparative analysis:

[0120] Intelligence and adaptability: The particle filter implementation can perform intelligent analysis and adaptive adjustments based on real-time sensor data, automatically adjusting temperature control thresholds and protection strategies, while traditional mechanical fuses can only physically blow after the temperature exceeds the limit, lacking flexibility.

[0121] Remote monitoring and alarm: The particle filter implementation uploads the device status to the cloud platform through wireless communication. Users can monitor in real time and receive alarm information. However, the traditional solution does not have any remote monitoring and intelligent alarm functions, and users cannot understand the device status in time.

[0122] System response time: The particle filter embodiment has a significantly better response speed than traditional fuses in terms of over-temperature, overload and other protection measures, and can take protective actions in a short time to prevent equipment damage.

[0123] Embodiment 3: Wire-wound resistor temperature fuse method based on environmental perception and intelligent regulation

[0124] Steps and process parameters:

[0125] Sensor Installation:

[0126] Temperature sensor: RTD temperature sensor is used and placed on the winding resistor temperature to monitor temperature changes in real time.

[0127] Current Sensors: Hall Effect sensors monitor the flow of current and detect the intensity of the current.

[0128] Humidity sensor: A capacitive humidity sensor is used to monitor humidity changes in the surrounding environment.

[0129] Vibration sensor: A three-axis accelerometer mounted on the housing of an electrical device to monitor the vibration of the device.

[0130] Data collection and processing:

[0131] Data is collected once a second and pre-processed by a microprocessor. The collected data includes temperature, current, humidity and vibration information.

[0132] Based on real-time data, the microprocessor determines whether the conditions for enabling the protection mechanism are met and makes intelligent adjustments to the current control.

[0133] Temperature control protection decision:

[0134] Intelligent temperature control: Based on real-time monitored temperature data, the microprocessor dynamically adjusts the temperature control threshold according to ambient humidity and device load conditions. For example, under high humidity conditions, the temperature control threshold is automatically lowered to avoid changes in resistance performance caused by moisture.

[0135] Current overload protection: When the current sensor detects current overload, the power supply is automatically disconnected through the relay.

[0136] Remote monitoring and alarm:

[0137] By uploading data to the cloud platform via the Wi-Fi communication protocol, users can check the working status of the equipment at any time and receive over-temperature, overload and fault alarm information.

[0138] Process parameters:

[0139] Temperature threshold: 80°C (overheat protection start temperature)

[0140] Current threshold: 130% rated current

[0141] Data sampling period: 1 second

[0142] Temperature control threshold adjustment: intelligent adjustment based on humidity and temperature

[0143] Wireless communication protocol: Wi-Fi

[0144] Comparative Example 3: The existing intelligent temperature control solution uses a fixed temperature threshold and simple overload protection. It does not consider the impact of environmental changes on equipment operation, nor does it integrate more data sources such as vibration monitoring.

[0145] Comparative analysis:

[0146] Environmental adaptability: Environmentally aware implementations can intelligently adjust protection thresholds based on multiple factors such as humidity, load, and temperature to adapt to different working environments and operating conditions. Traditional solutions cannot automatically adjust temperature control strategies and cannot cope with the impact of factors such as environmental humidity and load changes.

[0147] Vibration and mechanical fault detection: Environmental perception implementation schemes integrate vibration sensors to monitor the mechanical faults of equipment in real time, and can take immediate protective measures when abnormal vibrations occur in the equipment. Traditional solutions cannot detect vibrations or other mechanical faults of equipment.

[0148] Protection accuracy and response time: Environmentally aware implementations demonstrate higher accuracy and response speed in temperature control protection, overload protection, etc., and can adjust protection strategies based on real-time data, while traditional solutions have relatively low response speed and protection accuracy.

[0149] Comparative Experimental Design

[0150] Purpose of the experiment: To compare the performance of three different data fusion algorithms (Kalman filtering, particle filtering, and environmental sensing adjustment) in wire-wound resistor temperature fuses, including response speed, over-temperature protection accuracy, overload protection effect, and system stability.

[0151] Experimental steps:

[0152] Experiments were conducted using the technical solutions in three different embodiments (respectively using Kalman filtering, particle filtering and intelligent environment perception adjustment method).

[0153] Set the same working environment temperature, current intensity and humidity conditions, and monitor the outputs of temperature and current sensors respectively.

[0154] Measure the response time of temperature sensors under different workloads, current overload protection response time, system stability, etc.

[0155] Compare the protection accuracy and fault response timeliness under the same load.

[0156] Experimental data table:

[0157]

[0158] It can be seen from the experimental results that the wire-wound resistor temperature fuse method of the present invention, especially the method based on Kalman filtering, particle filtering and environmental sensing adjustment, can provide efficient temperature and current protection, and can make intelligent adjustments according to different environments and load conditions. Among all the embodiments, the environmental sensing embodiment shows better performance, especially in terms of over-temperature protection accuracy, overload protection response time and system stability.

[0159] 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 wire wound resistor temperature fuse method, characterized in that: The following steps are involved: Sensor data acquisition: Integrate a variety of sensors in the working area of ​​the wire-wound resistor temperature fuse, including temperature sensors, current sensors, vibration sensors, humidity sensors and light sensors, and collect corresponding environmental data in real time; Data fusion and processing: The multi-dimensional data collected by each sensor is fused and processed to obtain the real-time working status information of the temperature control fuse; Temperature control decision and protection: Intelligent judgment is made based on the fused data. When the temperature, current or other environmental parameters exceed the preset threshold, the protection mechanism is triggered to control the current switch or adjust the load to avoid overheating or equipment damage. Remote monitoring and alarm: The processed data is uploaded to the remote management platform through the wireless communication module, and the data of each sensor is displayed in real time. When an abnormality occurs, an alarm is triggered and fault warning information is sent to the user; Adaptive learning and optimization: Adaptively adjust the temperature control protection threshold according to historical data and operating conditions, optimize temperature control decisions, and improve the responsiveness of the protection system.

2. A wire wound resistor temperature fuse method according to claim 1, characterized in that: The data fusion processing step uses a Kalman filter algorithm or a particle filter algorithm to fuse the sensor data.

3. A wire wound resistor temperature fuse method according to claim 1, characterized in that: The protection mechanism includes over-temperature protection and overload protection, specifically: when the temperature exceeds the set threshold, the current is disconnected or adjusted; when the current exceeds the set safety value, the power supply is immediately disconnected to prevent equipment damage.

4. A wire wound resistor temperature fuse method according to claim 1, characterized in that: The wireless communication module uses LoRa, ZigBee or Wi-Fi protocol to transmit data to the remote management platform.

5. A wire wound resistor temperature fuse method according to claim 1, characterized in that: The remote management platform is used to display the temperature, current, humidity, vibration and other data of the equipment in real time, and to issue intelligent alarms and warnings according to the equipment status.

6. A wire-wound resistor temperature fuse device, according to a wire-wound resistor temperature fuse method according to any one of claims 1 to 5, characterized in that: include: The sensor module is used to install a variety of sensors in the working area of ​​the wire-wound resistor temperature fuse, including temperature sensors, current sensors, vibration sensors, humidity sensors and light sensors, so as to collect various environmental data in real time; The microprocessor module is used to receive and process data from the sensor module, and perform intelligent analysis and judgment according to the preset algorithm to generate protection decisions; The current control module is used to adjust the flow of current according to the instructions of the microprocessor module, perform over-temperature protection and overload protection functions, and disconnect the power supply or adjust the load in time; Wireless communication module, used to transmit sensor data and protection status to the remote management platform in real time, so as to realize remote monitoring and intelligent alarm of equipment; The power management module is used to provide the power required by the system and has a low-power standby function to extend the service life of the system.

7. A wire wound resistor temperature fuse device according to claim 6, characterized in that: The microprocessor module adopts an ARM Cortex-M series processor and has an adaptive learning algorithm to adjust the temperature control protection strategy according to the historical data and real-time data of the device.

8. A wire wound resistor temperature fuse device according to claim 6, characterized in that: The current control module uses a relay or a solid-state relay as a current switch, which can quickly respond to current overload or overheating conditions.

9. A wire wound resistor temperature fuse device according to claim 6, characterized in that: The sensor module includes a temperature sensor, a humidity sensor, a vibration sensor, a current sensor and a light sensor. The sensor data are fused and processed by a microprocessor module to optimize the temperature control protection strategy.

10. A wire wound resistor temperature fuse device according to claim 6, characterized in that: The wireless communication module supports LoRa, ZigBee or Wi-Fi communication protocols, can stably transmit data under different environmental conditions, and supports real-time monitoring of device status and fault warning by the remote management platform.

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