Video fluctuation speed acquisition and data remote transmission system and method based on infrared resistance sensor

Abstract

The invention relates to the technical field of power plant hearth flame fluctuation speed acquisition. The video fluctuation speed acquisition and data remote transmission system comprises a sensor module, a signal conditioning module, a data processing module and a data remote transmission module. The infrared light resistance sensor optimizes a flame infrared spectrum and combines dynamic signal conditioning; the data precision and the environment interference resistance are remarkably improved, millisecond-level fluctuation frequency extraction can be achieved through cooperative work of the MCU and the fast Fourier transform algorithm, the high-frequency dynamic monitoring requirement is met, and meanwhile through arrangement of the data remote transmission module, processed digital signals are coded and modulated, and then the high-frequency dynamic monitoring requirement is met. And the data are remotely transmitted to a remote monitoring center through a wireless channel, so that the collection of the fluctuation speed change information of the hearth flame and the remote transmission of the data are completed, and the requirement of a power plant on real-time monitoring can be effectively met by adopting the technical scheme.

Description

Technical Field

[0001] The present invention relates to the technical field of collecting the fluctuation speed of the furnace flame in a power plant, and particularly relates to a video fluctuation speed acquisition and data remote transmission system and method based on an infrared photoresistive sensor. Background Art

[0002] In the monitoring of the furnace flame in a power plant, the real-time acquisition and analysis of the flame fluctuation speed are of great significance for optimizing combustion efficiency, ensuring the safe operation of equipment, and controlling pollutants. In the prior art, the monitoring of the flame fluctuation speed mainly relies on the following methods:

[0003] Photoelectric sensor technology: The change in the flame light intensity is detected by a photodiode or a phototransistor, and the fluctuation speed is indirectly estimated. However, such sensors are easily interfered by ambient light, and their stability is poor in the furnace environment with high temperature and high dust, resulting in insufficient data accuracy.

[0004] Thermal imaging technology: An infrared thermal imager is used to capture the flame temperature distribution, and the fluctuation characteristics are analyzed through an image processing algorithm. Although the thermal imaging technology can provide intuitive visual information, its equipment cost is high, data processing is complex, and it is difficult to achieve real-time capture of high-speed dynamic changes.

[0005] Traditional resistive sensor: Some solutions use a resistive sensor to measure the flame conductivity characteristics, but such sensors have a slow response speed, cannot adapt to the scenario of rapid flame fluctuations, and the signal conditioning circuit is complex and vulnerable to electromagnetic interference.

[0006] In addition, in the prior art, the data remote transmission systems for monitoring the furnace flame in a power plant mostly rely on wired transmission or inefficient wireless protocols, resulting in high transmission delay and insufficient bandwidth, and it is difficult to meet the real-time monitoring requirements of the power plant. Summary of the Invention

[0007] The purpose of the present invention is to provide a video fluctuation speed acquisition and data remote transmission system and method based on an infrared photoresistive sensor, aiming to solve the technical problem that in the prior art, the data remote transmission systems for monitoring the furnace flame in a power plant mostly rely on wired transmission or inefficient wireless protocols, resulting in high transmission delay and insufficient bandwidth, and it is difficult to meet the real-time monitoring requirements of the power plant.

[0008] To achieve the above object, the present invention provides a video fluctuation speed acquisition and data remote transmission system based on an infrared photoresistor sensor, including a sensor module, a signal conditioning module, a data processing module, and a data remote transmission module. The sensor module is used to collect the change information of the furnace flame fluctuation speed in real time and convert it into an electrical signal for output. The signal conditioning module is used to amplify the weak signal output by the sensor module to increase the signal amplitude. The data processing module uses the fast Fourier transform algorithm to extract the frequency data output by the signal conditioning module, and after converting the frequency data into a standard analog signal, it is output through a digital-to-analog converter. The data remote transmission module is used to encode and modulate the processed digital signal and remotely transmit it to a remote monitoring center through a wireless channel;

[0009] The sensor module uses an infrared photoresistor sensor as the core detection element, and the infrared photoresistor sensor is encapsulated in a high-temperature resistant ceramic shell;

[0010] The specific content of the signal conditioning module is as follows: the weak signal output by the infrared photoresistor sensor is amplified with high precision by an instrumentation amplifier, and a filter circuit is configured to eliminate high-frequency noise. At the same time, a dynamic range adjustment circuit adapts to different flame intensity scenarios to improve the signal-to-noise ratio;

[0011] The specific content of the data processing module is as follows: an MCU is carried, and the fast Fourier transform algorithm is used to extract the flame fluctuation frequency in real time. The frequency data is converted into a standard analog signal and output through an AD694 digital-to-analog converter, which is compatible with the input interface of the industrial control system.

[0012] Among them, the IN+ and IN- pins of the instrumentation amplifier are connected to the differential signal output by the infrared photoresistor sensor. The instrumentation amplifier is connected with a protection resistor and a gain resistor. The signal amplified by the instrumentation amplifier is output after low-pass filtering. The instrumentation amplifier is powered by a ±5V dual power supply, stabilized by a low-noise LDO, and 0.1μF ceramic capacitors and 10μF tantalum capacitors are deployed near the power pins.

[0013] Among them, the filter circuit selects a second-order active low-pass filter, and the cut-off frequency f c = 500Hz.

[0014] Among them, the specific content of the signal conditioning module to achieve that the dynamic range adjustment circuit adapts to different flame intensity scenarios and improves the signal-to-noise ratio includes the implementation of automatic gain control and the design of improving the signal-to-noise ratio;

[0015] Implementation of automatic gain control: The signal amplitude is monitored in real time through a peak detection circuit, and the detection result is input to a comparator and compared with a preset threshold value to control a digital potentiometer to adjust the gain resistor to achieve dynamic gain adjustment;

[0016] SNR improvement design: The sensor signal is input into the instrumentation amplifier in differential mode to suppress common-mode noise. A π-type filter is deployed at the power supply terminal of the instrumentation amplifier to reduce power supply ripple.

[0017] Among them, the specific content of the fast Fourier transform algorithm includes: sampling parameter optimization, frame division and calculation process, and anti-interference processing;

[0018] Sampling parameter optimization specifically means that the infrared photoresistive sensor signal is collected by ADC at a sampling rate of 10 kHz to ensure coverage of the flame fluctuation frequency band, and a Hanning window is used to reduce spectral leakage and improve frequency resolution;

[0019] Frame division and calculation process specifically mean that the length of each frame of data is 1024 points, and continuous real-time analysis is achieved by overlapping 50% of the frames. The MCU calls the optimized FFT library to complete the calculation of the complex spectrum and extract the frequency corresponding to the peak value of the amplitude spectrum;

[0020] Anti-interference processing specifically means embedding a digital band-pass filter in the frequency domain to suppress low-frequency mechanical vibration and high-frequency noise interference, and using a moving average algorithm to smooth the main frequency results of three consecutive frames to avoid misjudgment caused by instantaneous disturbances.

[0021] Among them, the video fluctuation speed acquisition and data remote transmission system based on the infrared photoresistive sensor further includes a real-time alarm module. The real-time alarm module is used to send an alarm message to the remote monitoring center through the remote communication module when the sensor module detects that the furnace flame fluctuation speed exceeds the threshold.

[0022] The present invention also provides a method for video fluctuation speed acquisition and data remote transmission based on an infrared photoresistive sensor, which is applied to the video fluctuation speed acquisition and data remote transmission system based on the infrared photoresistive sensor as described above, and includes the following steps:

[0023] Use the infrared photoresistive sensor to collect the change information of the furnace flame fluctuation speed in real time and convert it into an electrical signal for output;

[0024] Use the signal conditioning module to amplify the weak signal to increase the signal amplitude;

[0025] Use the data processing module to extract the frequency data output by the signal conditioning module, convert the frequency data into a standard analog signal, and then output it through a digital-to-analog converter;

[0026] Use the data remote transmission module to encode and modulate the processed digital signal, and then remotely transmit it to the remote monitoring center through a wireless channel to complete the acquisition of the change information of the furnace flame fluctuation speed and the remote transmission of data.

[0027] A video fluctuation speed acquisition and data remote transmission system and method based on an infrared photoresistor sensor of the present invention includes a sensor module, a signal conditioning module, a data processing module, and a data remote transmission module. The infrared photoresistor sensor is optimized for the infrared spectrum of the flame, combined with dynamic signal conditioning, significantly improving data accuracy and anti-environmental interference ability. And through the collaborative work of the MCU and the fast Fourier transform algorithm, the extraction of the fluctuation frequency at the millisecond level can be realized, meeting the requirements of high-frequency dynamic monitoring. At the same time, through the setting of the data remote transmission module, the processed digital signal is encoded, modulated, and then remotely transmitted to the remote monitoring center through the wireless channel, completing the acquisition of the change information of the furnace flame fluctuation speed and data remote transmission. Adopting this technical solution can effectively meet the real-time monitoring requirements of power plants. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for the description of the embodiments or the prior art. Obviously, the following drawings are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0029] Figure 1 It is a schematic block diagram of a video fluctuation speed acquisition and data remote transmission system based on an infrared photoresistor sensor according to the first embodiment of the present invention.

[0030] Figure 2 It is a schematic block diagram of a video fluctuation speed acquisition and data remote transmission system based on an infrared photoresistor sensor according to the second embodiment of the present invention.

[0031] Figure 3 It is a flowchart of the steps of a video fluctuation speed acquisition and data remote transmission method based on an infrared photoresistor sensor provided by the present invention.

[0032] 101 - Sensor module, 102 - Signal conditioning module, 103 - Data processing module, 104 - Data remote transmission module, 105 - Infrared photoresistor sensor, 106 - Instrumentation amplifier, 107 - Filter circuit, 108 - MCU, 109 - Digital-to-analog converter, 201 - Real-time alarm module. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0033] The following will describe in detail the embodiments of the present invention. The examples of the embodiments are shown in the drawings, where the same or similar reference numerals represent the same or similar elements or elements with the same or similar functions from beginning to end. The embodiments described below by referring to the drawings are exemplary and are intended to explain the present invention, and should not be construed as a limitation to the present invention.

[0034] The First Embodiment:

[0035] Please refer to Figure 1 , where Figure 1 is a schematic diagram of the principle of a video fluctuation speed acquisition and data remote transmission system based on an infrared photoresistive sensor.

[0036] The present invention provides a video fluctuation speed acquisition and data remote transmission system based on an infrared photoresistive sensor, including a sensor module 101, a signal conditioning module 102, a data processing module 103, and a data remote transmission module 104. Through the foregoing solution, the problems in the prior art that the data remote transmission system for power plant furnace flame monitoring mostly relies on wired transmission or inefficient wireless protocols, has high transmission delay and insufficient bandwidth, and is difficult to meet the real-time monitoring requirements of power plants are solved. It can be understood that the foregoing solution can be used in the structure of a video fluctuation speed acquisition and data remote transmission system based on an infrared photoresistive sensor.

[0037] For this specific embodiment, the sensor module 101 is used to collect the change information of the furnace flame fluctuation speed in real time and convert it into an electrical signal for output. The signal conditioning module 102 is used to amplify the weak signal output by the sensor module 101 to increase the signal amplitude. The data processing module 103 uses the fast Fourier transform algorithm to extract the frequency data output by the signal conditioning module, and after converting the frequency data into a standard analog signal, it is output through the digital-to-analog converter 109. The data remote transmission module 104 is used to encode and modulate the processed digital signal and remotely transmit it to the remote monitoring center through a wireless channel;

[0038] The sensor module 101 uses an infrared photoresistive sensor 105 as the core detection element, and the infrared photoresistive sensor 105 is encapsulated in a high-temperature resistant ceramic shell;

[0039] The specific content of the signal conditioning module 102 is: the weak signal output by the infrared photoresistive sensor 105 is amplified with high precision by an instrumentation amplifier 106, and a filter circuit 107 is configured to eliminate high-frequency noise. At the same time, the dynamic range adjustment circuit adapts to different flame intensity scenarios to improve the signal-to-noise ratio;

[0040] The specific content of the data processing module 103 is: an MCU 108 is carried, the fast Fourier transform algorithm is used to extract the flame fluctuation frequency in real time, the frequency data is converted into a standard analog signal, and it is output through the AD694 digital-to-analog converter 109, which is compatible with the input interface of the industrial control system.

[0041] In this embodiment, the infrared photoresistive sensor 105 is optimized for the infrared spectrum of the flame, combined with dynamic signal conditioning, significantly improving data accuracy and anti-environmental interference ability. And through the collaborative work of the MCU 108 and the fast Fourier transform algorithm, the extraction of millisecond-level fluctuation frequency can be realized to meet the requirements of high-frequency dynamic monitoring. At the same time, through the setting of the data remote transmission module 104, after the processed digital signal is encoded and modulated, it is remotely transmitted to the remote monitoring center through the wireless channel, completing the acquisition of the information on the change of the furnace flame fluctuation speed and the data remote transmission. Adopting this technical solution can effectively meet the power plant's demand for real-time monitoring.

[0042] Among them, the IN+ and IN- pins of the instrumentation amplifier 106 are connected to the differential signal output by the infrared photoresistive sensor 105. The instrumentation amplifier 106 is connected with a protection resistor and a gain resistor. The signal amplified by the instrumentation amplifier 106 is output after low-pass filtering. The instrumentation amplifier 106 is powered by a ±5V dual power supply, regulated by a low-noise LDO, and a 0.1μF ceramic capacitor and a 10μF tantalum capacitor are deployed near the power supply pins.

[0043] Secondly, the filter circuit 107 selects a second-order active low-pass filter with a cut-off frequency f c = 500Hz.

[0044] At the same time, the specific content of the signal conditioning module 102 to realize the dynamic range adjustment circuit to adapt to different flame intensity scenarios and improve the signal-to-noise ratio includes the realization of automatic gain control and the design of signal-to-noise ratio improvement;

[0045] Realization of automatic gain control: The peak detection circuit monitors the signal amplitude in real time, and the detection result is input to the comparator and compared with the preset threshold to control the digital potentiometer to adjust the gain resistor to realize dynamic gain adjustment;

[0046] Design of signal-to-noise ratio improvement: The sensor signal is input to the instrumentation amplifier 106 in differential mode to suppress common-mode noise, and a π-type filter is deployed at the power supply end of the instrumentation amplifier 106 to reduce power supply ripple.

[0047] In addition, the specific content of the fast Fourier transform algorithm includes: sampling parameter optimization, frame division and calculation process, and anti-interference processing;

[0048] Sampling parameter optimization specifically means that the signal of the infrared photoresistive sensor 105 is collected by ADC at a sampling rate of 10kHz to ensure coverage of the flame fluctuation frequency band, and a Hanning window is used to reduce spectral leakage and improve frequency resolution;

[0049] The frame division and calculation process specifically means that the length of each frame of data is 1024 points, and continuous real-time analysis is achieved by overlapping 50% of the frames. The MCU 108 calls the optimized FFT library to complete the calculation of the complex spectrum, and extracts the frequency corresponding to the peak value of the amplitude spectrum.

[0050] The anti-interference processing specifically means embedding a digital band-pass filter in the frequency domain to suppress low-frequency mechanical vibration and high-frequency noise interference, and using a moving average algorithm to smooth the main frequency results of three consecutive frames to avoid misjudgment caused by instantaneous disturbances.

[0051] When using the video fluctuation speed acquisition and data remote transmission system based on an infrared photoresistive sensor of this embodiment, the infrared photoresistive sensor 105 is used to collect the change information of the furnace flame fluctuation speed in real time and convert it into an electrical signal for output. The signal conditioning module 102 is used to amplify the weak signal to increase the signal amplitude. The data processing module 103 extracts the frequency data output by the signal conditioning module, converts the frequency data into a standard analog signal, and then outputs it through the digital-to-analog converter 109. The data remote transmission module 104 encodes and modulates the processed digital signal and remotely transmits it to the remote monitoring center through a wireless channel to complete the acquisition of the change information of the furnace flame fluctuation speed and data remote transmission. Through the optimization of the infrared photoresistive sensor 105 for the flame infrared spectrum and the combination of dynamic signal conditioning, the data accuracy and anti-environmental interference ability are significantly improved. And through the collaborative work of the MCU 108 and the fast Fourier transform algorithm, the extraction of the fluctuation frequency at the millisecond level can be realized to meet the requirements of high-frequency dynamic monitoring.

[0052] Second Embodiment:

[0053] Based on the first embodiment, please refer to Figure 2 , Figure 2 which is the principle block diagram of the video fluctuation speed acquisition and data remote transmission system based on an infrared photoresistive sensor for the second embodiment.

[0054] The video fluctuation speed acquisition and data remote transmission system based on an infrared photoresistive sensor provided by the present invention further includes a real-time alarm module 201.

[0055] For this specific embodiment, the real-time alarm module 201 is used to send an alarm message to the remote monitoring center through the remote communication module when the sensor module 101 detects that the furnace flame fluctuation speed exceeds the threshold.

[0056] In this technical solution, a preset flame fluctuation speed threshold range (for example: 10 - 50 Hz) is set. According to the furnace combustion conditions (such as fuel type, load change), the threshold is dynamically adjusted through the built-in algorithm of the MCU108 to avoid false alarms or missed alarms caused by a fixed threshold. The threshold data is stored in the EEPROM of the MCU108 and supports remote configuration and update. After the MCU108 completes the fast Fourier transform calculation, it extracts the main frequency component (such as the highest amplitude frequency) of the flame fluctuation in real time, compares the main frequency with the current threshold. If it exceeds the threshold range, the alarm flag bit is immediately triggered, and a digital signal (high level) is output through the GPIO pin of the MCU108 to the remote transmission module to start the priority communication channel. The alarm information includes a timestamp, the fluctuation frequency value, and the sensor ID, and is encapsulated using a lightweight protocol (such as MQTT - SN) to ensure that the transmission delay is less than 100 ms.

[0057] When using a video fluctuation speed acquisition and data remote transmission system based on an infrared photoresistive sensor according to this embodiment, when the sensor module 101 detects that the furnace flame fluctuation speed exceeds the threshold, the real - time alarm module 201 uses the remote communication module to send alarm information to the remote monitoring center.

[0058] Please refer to Figure 3 , the present invention also provides a method for video fluctuation speed acquisition and data remote transmission based on an infrared photoresistive sensor, which is applied to the video fluctuation speed acquisition and data remote transmission system based on an infrared photoresistive sensor as described above, and includes the following steps:

[0059] S1: Use the infrared photoresistive sensor 105 to collect the change information of the furnace flame fluctuation speed in real time and convert it into an electrical signal for output;

[0060] S2: Use the signal conditioning module 102 to amplify the weak signal to increase the signal amplitude;

[0061] S3: Use the data processing module 103 to extract the frequency data output by the signal conditioning module, convert the frequency data into a standard analog signal, and then output it through the digital - to - analog converter 109;

[0062] S4: Use the data remote transmission module 104 to encode and modulate the processed digital signal, and then remotely transmit it to the remote monitoring center through a wireless channel to complete the acquisition of the change information of the furnace flame fluctuation speed and the data remote transmission.

[0063] In this embodiment, first, the infrared photoresistive sensor 105 is used to collect the change information of the furnace flame fluctuation speed in real time and convert it into an electrical signal for output. Then, the signal conditioning module 102 is used to amplify the weak signal to increase the signal amplitude. Next, the data processing module 103 extracts the frequency data output by the signal conditioning module, converts the frequency data into a standard analog signal, and then outputs it through the digital-to-analog converter 109. Finally, the data remote transmission module 104 encodes and modulates the processed digital signal and remotely transmits it to the remote monitoring center through the wireless channel, completing the acquisition of the change information of the furnace flame fluctuation speed and the data remote transmission. Through the optimization of the infrared photoresistive sensor 105 for the flame infrared spectrum and the combination of dynamic signal conditioning, the data accuracy and the anti-environmental interference ability are significantly improved. And through the collaborative work of the MCU 108 and the fast Fourier transform algorithm, the extraction of the millisecond-level fluctuation frequency can be realized to meet the requirements of high-frequency dynamic monitoring.

[0064] The above-disclosed is only a preferred embodiment of the present invention. Of course, it cannot be used to limit the scope of the rights of the present invention. Those of ordinary skill in the art can understand all or part of the processes of implementing the above embodiments, and the equivalent changes made according to the claims of the present invention still fall within the scope covered by the invention.

Claims

1. A video fluctuation speed acquisition and data remote transmission system based on infrared photoresistance sensor, characterized in that: It includes a sensor module, a signal conditioning module, a data processing module and a data transmission module. The sensor module is used to collect the information of the fluctuation speed of the furnace flame in real time and convert it into an electrical signal for output. The signal conditioning module is used to amplify the weak signal output by the sensor module to increase the signal amplitude. The data processing module uses a fast Fourier transform algorithm to extract the frequency data output by the signal conditioning module, and converts the frequency data into a standard analog signal, and then outputs it through a digital-to-analog converter. The data transmission module is used to encode and modulate the processed digital signal, and then transmit it to a remote monitoring center through a wireless channel. The sensor module uses an infrared photoresistance sensor as a core detection element, and the infrared photoresistance sensor is packaged in a high-temperature resistant ceramic housing; The specific contents of the signal conditioning module are: amplifying the weak signal output by the infrared photoresistance sensor with high precision through an instrument amplifier, configuring a filter circuit to eliminate high-frequency noise, and adjusting the dynamic range circuit to adapt to different flame intensity scenes to improve the signal-to-noise ratio; The specific content of the data processing module is: equipped with MCU, using fast Fourier transform algorithm to extract flame fluctuation frequency in real time, converting frequency data into standard analog signal, outputting through AD694 digital-to-analog converter, and compatible with the input interface of industrial control system.

2. The video fluctuation speed acquisition and data remote transmission system based on infrared photoresistance sensor as claimed in claim 1 is characterized in that: The IN+ and IN- pins of the instrument amplifier are connected to the differential signal output by the infrared photoresistance sensor. The instrument amplifier is connected with a protection resistor and a gain resistor. The signal amplified by the instrument amplifier is output after low-pass filtering. The instrument amplifier is powered by a ±5V dual power supply, stabilized by a low-noise LDO, and a 0.1μF ceramic capacitor and a 10μF tantalum capacitor are deployed near the power pins.

3. The video fluctuation speed acquisition and data remote transmission system based on infrared photoresistance sensor as claimed in claim 1 is characterized in that: The filter circuit uses a second-order active low-pass filter with a cut-off frequency f c =500Hz.

4. The video fluctuation speed acquisition and data remote transmission system based on infrared photoresistance sensor as claimed in claim 3 is characterized in that: The signal conditioning module realizes the dynamic range adjustment circuit to adapt to different flame intensity scenes, and the specific contents of improving the signal-to-noise ratio include automatic gain control implementation and signal-to-noise ratio improvement design; Automatic gain control is achieved by monitoring the signal amplitude in real time through the peak detection circuit, inputting the detection result into the comparator, comparing it with the preset threshold, and controlling the digital potentiometer to adjust the gain resistance to achieve dynamic gain adjustment; Signal-to-noise ratio improvement design: The sensor signal is input into the instrument amplifier in a differential mode to suppress common-mode noise, and a π-type filter is deployed at the power supply end of the instrument amplifier to reduce power supply ripple.

5. The video fluctuation speed acquisition and data remote transmission system based on infrared photoresistance sensor as claimed in claim 1 is characterized in that: The specific contents of the fast Fourier transform algorithm include: sampling parameter optimization, frame division and calculation process and anti-interference processing; Sampling parameter optimization specifically refers to the infrared photoresistance sensor signal being sampled by ADC at a sampling rate of 10kHz to ensure that the flame fluctuation frequency band is covered, and a Hanning window is used to reduce spectrum leakage and improve frequency resolution; The framing and calculation process specifically refers to the data length of each frame being 1024 points, and continuous real-time analysis is achieved by overlapping 50% of the frames. The MCU calls the optimized FFT library to complete the complex spectrum calculation and extract the frequency corresponding to the peak value of the amplitude spectrum; Anti-interference processing specifically refers to embedding a digital bandpass filter in the frequency domain to suppress low-frequency mechanical vibration and high-frequency noise interference, and using a sliding average algorithm to smooth the main frequency results of three consecutive frames to avoid misjudgment caused by instantaneous disturbances.

6. The video fluctuation speed acquisition and data remote transmission system based on infrared photoresistance sensor as claimed in claim 1 is characterized in that: The video fluctuation speed acquisition and data remote transmission system based on infrared photoresistance sensor also includes a real-time alarm module, which is used to send alarm information to the remote monitoring center through the remote communication module when the sensor module detects that the furnace flame fluctuation speed exceeds a threshold.

7. A video fluctuation speed acquisition and data remote transmission method based on infrared photoresistance sensor, applied to the video fluctuation speed acquisition and data remote transmission system based on infrared photoresistance sensor as claimed in claim 1, characterized in that: The steps include: The infrared photoresistance sensor is used to collect the furnace flame fluctuation speed change information in real time and convert it into an electrical signal output; Amplifying weak signals using the signal conditioning module to increase signal amplitude; The data processing module is used to extract the frequency data output by the signal adjustment module, and the frequency data is converted into a standard analog signal and then outputted via a digital-to-analog converter; The processed digital signal is encoded and modulated by the data transmission module and then transmitted to a remote monitoring center through a wireless channel, thereby completing the collection of furnace flame fluctuation speed change information and data transmission.

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