Dust compensation-based dust removal equipment temperature imaging detection system and method

Abstract

A dust compensation-based dust removal equipment temperature imaging detection system and method, the system: an infrared thermal imager module is installed on one side outside the dust removal equipment; a dust concentration sensor module is installed outside the dust removal equipment; a data transmission module is connected with the infrared thermal imager module, the dust concentration sensor module and a data processing and control module respectively; the data processing and control module includes a data acquisition unit, a data preprocessing unit, a dust compensation unit, a temperature imaging generation unit, an alarm and control unit; the data processing and control module is connected with a display and alarm module and the dust removal equipment respectively. The method: based on temperature data and current dust concentration data, compensated temperature data is obtained through a temperature compensation algorithm; a multi-color temperature imaging image is generated and displayed according to the compensated temperature data, and compared with a set temperature threshold, and when abnormal, the display and alarm module is controlled to alarm. The system and method can accurately monitor the temperature of the dust removal equipment.

Description

Technical Field

[0001] This invention belongs to the field of dust detection technology, specifically relating to a temperature imaging detection system and method for dust removal equipment based on dust compensation. Background Technology

[0002] Some production workshops or production sites generate a large amount of dust during the production process. For example, various types of dust are generated during dust removal in industries such as steel, cement, and chemicals, including metal dust, cement dust, and chemical raw material dust. This dust can cause certain damage to workers' respiratory system and skin, and may even lead to occupational diseases. Dust removal equipment can effectively treat dust, thereby effectively protecting workers' health.

[0003] Accurate temperature monitoring is crucial for the safe operation of dust collection equipment. Excessive temperature can damage components; for example, the filter bags in a baghouse dust collector may burn out due to high temperatures, and the electrodes in an electrostatic precipitator may deform due to overheating, thus affecting dust collection efficiency and the equipment's lifespan. Furthermore, abnormal temperatures can lead to safety accidents, such as dust explosions. For dust collection equipment used in flour mills, coal mines, and similar locations, improper temperature control can cause dust explosions under certain concentrations and temperatures, potentially resulting in serious casualties and property damage. Therefore, real-time and accurate monitoring of the temperature distribution of dust collection equipment is of great significance for ensuring its safe and stable operation and improving production efficiency.

[0004] There are two main types of existing temperature detection technologies for dust removal equipment: contact temperature measurement and non-contact temperature measurement. Traditional contact temperature measurement methods primarily use temperature sensors such as thermocouples and resistance temperature detectors (RTDs). However, this method has several problems in dust removal equipment temperature detection. Firstly, due to the large amount of dust inside the equipment, sensor installation is difficult, and the sensors are easily covered by dust, affecting heat transfer and leading to inaccurate measurements. Secondly, contact sensors are prone to damage due to wear and corrosion over long-term use, requiring frequent maintenance and replacement, increasing equipment operating costs and downtime. Thirdly, contact temperature measurement technology can only obtain the local temperature at the sensor installation point and cannot comprehensively reflect the overall temperature distribution of the equipment. Non-contact temperature measurement devices such as infrared thermal imagers are widely used in dust removal equipment temperature detection, but dust can affect the reliable transmission of infrared radiation signals, severely impacting the accuracy of measurement results. Because dust absorbs and scatters infrared radiation, the signal strength received by the thermal imager is weakened, resulting in a measured temperature lower than the actual temperature. For example, in environments with high dust concentrations, the temperature measurement error by infrared thermal imagers can reach several degrees Celsius or even higher. Simultaneously, the thermal radiation from the dust itself can interfere with the judgment of the true temperature of equipment components, leading to significant measurement deviations. Currently, existing temperature detection technologies lack effective dust compensation measures, thus failing to meet the high-precision temperature monitoring requirements of dust removal equipment. Summary of the Invention

[0005] To address the problems existing in the prior art, this invention provides a temperature imaging detection system and method for dust removal equipment based on dust compensation. This system possesses automatic data acquisition, processing, compensation, alarm, and control functions, enabling intelligent monitoring and control of the temperature of dust removal equipment and meeting the high-precision temperature monitoring requirements of dust removal equipment. The method is simple to implement and has low implementation costs, significantly improving the accuracy of temperature detection. Simultaneously, it effectively ensures the safe and stable operation of dust removal equipment, resulting in good economic and social benefits.

[0006] To achieve the above objectives, the present invention provides a dust-compensated temperature imaging detection system for dust removal equipment, including an infrared thermal imager module, a dust concentration sensor module, a data transmission module, a data processing and control module, a display and alarm module, and a power supply module.

[0007] The infrared thermal imager module is installed on one side of the outside of the dust removal equipment, and is used to collect the temperature signal of the surface of the dust removal equipment in real time in a non-contact manner, and send it to the data transmission module.

[0008] The dust concentration sensor module is installed outside the dust removal equipment to collect the current dust concentration signal in the environment in real time and send it to the data transmission module.

[0009] The data transmission module is connected to the infrared thermal imager module, the dust concentration sensor module, and the data processing and control module, respectively. It is used to receive the temperature signal sent by the infrared thermal imager module and the current dust concentration signal sent by the dust concentration sensor module, and send them to the data processing and control module.

[0010] The data processing and control module includes a data acquisition unit, a data preprocessing unit, a dust compensation unit, a temperature imaging generation unit, and an alarm and control unit. The data processing and control module is connected to the display and alarm module and the dust removal equipment, respectively. The data acquisition unit obtains raw temperature data and current dust concentration data based on the received temperature signal and current dust concentration signal, and then sends the raw temperature data and current dust concentration data to the data preprocessing unit. The data preprocessing unit preprocesses the raw temperature data and current dust concentration data and sends the preprocessed raw temperature data and current dust concentration data to the dust compensation unit. The dust compensation unit obtains data based on the raw temperature data and current dust concentration data. The system calculates a temperature compensation value and obtains compensated temperature data based on this value. The compensated temperature data is then sent to a temperature imaging generation unit and an alarm and control unit. The temperature imaging generation unit compares the compensated temperature data with multiple preset temperature ranges and generates a visualized multi-color temperature imaging image based on the comparison results. This multi-color temperature imaging image is then sent to a display and alarm module. The alarm and control unit compares the compensated temperature data with a set temperature threshold and controls the display and alarm module to issue an alarm when the compensated temperature data exceeds the set temperature threshold. Simultaneously, it adjusts the operating parameters of the dust removal equipment based on the compensated temperature data to optimize the equipment's operating status.

[0011] The display and alarm module is used to display real-time visualized multi-color temperature imaging images;

[0012] The power supply module is used to supply power to each electrical component.

[0013] As a preferred embodiment, the system also includes a storage module, which is connected to the data processing and control module for storing data.

[0014] Furthermore, to facilitate real-time communication with external terminal devices, a communication module is also included. This communication module is connected to the data processing and control module and is used to establish communication between the data processing and control module and the outside world.

[0015] As a preferred embodiment, the data processing and control module is an industrial computer.

[0016] In this invention, by setting up an infrared thermal imager module, temperature signals of key parts of the dust removal equipment can be acquired in real time in a non-contact manner. Simultaneously, by setting a dust concentration sensor module outside the dust removal equipment, it is convenient to measure the dust concentration data in the environment in real time. Connecting the infrared thermal imager module, dust concentration sensor module, and data processing and control module using a data transmission module allows the data processing and control module to simultaneously obtain temperature and current dust concentration signals. The data transmission module can also perform timing processing on the received signals to ensure the synchronization of the two signals, thereby ensuring the accuracy of subsequent calculation results. The data processing and control module includes an acquisition unit, a data preprocessing unit, and a dust compensation unit. The data acquisition unit can easily obtain temperature and current dust concentration data based on the temperature and current dust concentration signals. Simultaneously, the data preprocessing unit can preprocess the temperature and current dust concentration data to effectively remove interfering components, thus ensuring the accuracy of subsequent calculation results. Furthermore, the dust compensation unit can easily calculate temperature compensation data based on the current dust concentration data. This calculation effectively compensates for the weakening effect of environmental dust on infrared radiation signals during non-contact measurement, thus obtaining accurate actual temperature data. The data processing and control module also includes a temperature imaging generation unit and an alarm and control unit. The temperature imaging generation unit compares the compensated temperature data with multiple preset temperature ranges and generates multi-color temperature images based on the colors corresponding to different temperature ranges. This allows for real-time acquisition of the overall temperature distribution of the dust removal equipment, providing a clear view of the temperature conditions of various parts of the equipment. This helps managers understand the equipment's operating status comprehensively and quickly locate areas of abnormal temperature and promptly identify potential faults, effectively preventing equipment damage due to localized overheating. Simultaneously, the alarm and control unit compares the compensated temperature data with a set temperature threshold and controls the display and alarm modules to issue audible and visual alarms based on the comparison results, promptly and effectively alerting managers in case of abnormalities.

[0017] The system has automatic data acquisition, processing, compensation, alarm and control functions, realizing intelligent monitoring and control of the temperature of dust removal equipment, meeting the high-precision temperature monitoring requirements of dust removal equipment. At the same time, it helps to automatically adjust the operating parameters of dust removal equipment based on real-time monitoring data and optimize the operating status of dust removal equipment, thereby effectively improving the reliability and stability of dust removal equipment, reducing manual intervention and lowering operating costs.

[0018] This invention also provides a dust-compensated temperature imaging detection method for dust removal equipment, employing a dust-compensated temperature imaging detection system for dust removal equipment, comprising the following steps:

[0019] Step 1: Install an infrared thermal imager module on one side of the dust removal equipment, ensuring that the module covers key areas of the equipment; install a dust concentration sensor module on the outside of the equipment, ensuring it accurately measures the current dust concentration signal in the environment; establish a communication connection between the infrared thermal imager module, the dust concentration sensor module, and the data processing and control module via a data transmission module to form a dust-compensated temperature imaging detection system for the dust removal equipment; establish a connection between the data processing and control module and the negative pressure fan of the dust removal equipment to enable real-time control of the fan.

[0020] Step 2: Calibrate the temperature measurement accuracy of the infrared thermal imager module, calibrate the measurement range and accuracy of the dust concentration sensor module, test the stability of the data transmission module, and complete the debugging of the dust collection equipment temperature imaging detection system based on dust compensation.

[0021] Step 3: The infrared thermal imager module collects temperature signals from key parts of the dust removal equipment in real time and sends them to the data transmission module; the dust concentration sensor module collects the current dust concentration signal in the environment in real time and sends it to the data transmission module; the data transmission module performs time-series processing on the received temperature signal and current dust concentration signal to ensure that the temperature signal and current dust concentration signal are synchronized in time, and then sends the time-series processed temperature signal and current dust concentration signal to the data processing and control module;

[0022] Step 4: The data acquisition unit obtains the raw temperature data and the current dust concentration data based on the received temperature signal and the current dust concentration signal, and then sends the raw temperature data and the current dust concentration data to the data preprocessing unit; the data preprocessing unit preprocesses the raw temperature data and the current dust concentration data, and sends the preprocessed raw temperature data and the current dust concentration data to the dust compensation unit;

[0023] Step 5: The dust compensation unit obtains the temperature measurement error ΔT of the current dust concentration data based on the original temperature data and the current dust concentration data according to formula (1). 实时 Temperature measurement error ΔT 实时 The compensated temperature data T is obtained according to formula (2). 修正 Then, the compensated temperature data T 修正 The signals are sent to the temperature imaging generation unit and the alarm and control unit, respectively.

[0024]

[0025] T 修正 =T 原始 +ΔT 实时 (2);

[0026] In the formula, C 实时 This represents the current dust concentration data; a, b, and d are correction factors; T 原始 This is the raw temperature data;

[0027] Step Six: The temperature imaging generation unit generates the compensated temperature data T 修正 The temperature data T is compared with multiple preset temperature ranges. 修正 Within a temperature range, the compensated temperature data T 修正 The temperature range is converted into a multi-color temperature imaging image corresponding to the temperature range, thereby forming visualized temperature imaging image data. The visualized temperature imaging image data is then sent to the display and alarm module. The multiple temperature ranges are distributed continuously from small to large and each corresponds to a different color.

[0028] Meanwhile, the alarm and control unit compares the compensated temperature data with the set temperature threshold. When the compensated temperature data exceeds the set temperature threshold, an alarm signal is sent to the display and alarm module. At the same time, the alarm and control unit controls the negative pressure fan of the dust removal equipment to reduce its speed, so as to effectively protect the dust removal equipment by reducing the load on the dust removal equipment.

[0029] Step 7: After receiving the visualized temperature imaging data, the display and alarm module displays the visualized temperature imaging image in real time. At the same time, it performs an audible and visual alarm action after receiving an alarm signal.

[0030] As a preferred option, the calculation process for a, b, and d in step five is as follows:

[0031] S51: Construct the sum of squared errors function S according to formula (3);

[0032]

[0033] S52: Order but Find the partial derivatives of S with respect to a, b, and d respectively;

[0034] S52-1: First, take the partial derivative with respect to a to obtain formula (4), then let Formula (5) is obtained;

[0035]

[0036] S52-2: First, take the partial derivative with respect to b to obtain formula (6), then let Formula (7) is obtained;

[0037]

[0038] S52-3: First, take the partial derivative with respect to d to obtain formula (8), then let Formula (9) is obtained;

[0039]

[0040] S53: Combining formulas (5), (7) and (9), we obtain the system of equations (10);

[0041]

[0042] S54: Solve using Cramer's rule or Gaussian elimination in linear algebra, and obtain the values ​​of a, b, and d respectively.

[0043] In order to simultaneously display the temperature imaging image, temperature data curve, dust concentration data, and equipment operating status information on the display and alarm modules, in step five, the dust compensation unit also sends the current dust concentration data to the alarm and control unit. In step six, the alarm and control unit generates a temperature data curve based on the continuously received compensated temperature data, and obtains the dust removal equipment operating status information based on the continuously received compensated temperature data and the current dust concentration data. Then, it sends the current dust concentration data, temperature data curve, and dust removal equipment operating status information to the display and alarm module. In step seven, the display and alarm module displays the received current dust concentration data, temperature data curve, and dust removal equipment operating status information in real time.

[0044] In order to promptly alert relevant maintenance personnel so that effective countermeasures can be taken in a timely manner when the dust removal equipment malfunctions, in step six, when the compensated temperature data exceeds the set temperature threshold, the alarm and control unit also sends an alarm message to the terminal device through the communication module.

[0045] As a preferred option, in S54, when using Cramer's rule to solve the problem, the solution process is as follows:

[0046] A1: Convert the system of equations (10) into matrix form AX = B, and then transform AX = B to obtain formula (11), X = A -1 B(11);

[0047]

[0048] A2: Obtain the determinant |A| of matrix A according to formula (12);

[0049]

[0050] A3: Calculate a according to formula (13). In the process of calculating this determinant, calculate according to the expansion rule of the third-order determinant, as shown in formula (14).

[0051]

[0052] A4: Calculate b according to formula (15). In the process of calculating this determinant, calculate according to the expansion rule of the third-order determinant, as shown in formula (16).

[0053]

[0054] A5: d is calculated according to formula (17). In the process of calculating the determinant, the calculation is carried out according to the expansion rule of the third-order determinant, as shown in formula (18).

[0055]

[0056]

[0057] As a preferred option, in S54, when using Gaussian elimination, the solution process is as follows:

[0058] B1: Rewrite the system of equations (10) in augmented matrix form, as shown in formula (18);

[0059]

[0060] B2: Perform the following row transformation operations:

[0061] B2-1: Make element A in the first row and first column... 11 =1, and divide the first row by 1. in,

[0062] B2-2: Subtract the first row from the second row multiplied by... Make A 21 =0;

[0063] B2-3: Subtract the first row from the third row multiplied by... Make A 31 If the value is 0, we get formula (19);

[0064]

[0065] B3: Continue row transformations to make A 22 Set A to 1, and set A to 1. 32The matrix is ​​reduced to 0, and finally transformed into an upper triangular matrix, as shown in formula (20). Then, the values ​​of a, b, and d are solved by back substitution.

[0066]

[0067] This invention provides a detection method for temperature imaging in dust removal equipment that can effectively compensate for the influence of dust on temperature measurement. It employs an infrared thermal imager module to monitor the temperature of the dust removal equipment in a non-contact manner, ensuring that the monitoring range effectively covers multiple key parts of the equipment, thus enabling the simultaneous acquisition of temperature data from multiple key areas. Simultaneously, a dust concentration sensor module collects the ambient dust concentration signal in real time, facilitating the use of this signal for temperature data compensation. After the data transmission module receives the temperature signal and the current dust concentration signal, it performs timing processing on both before sending them to the data processing and control module. This ensures complete synchronization between the temperature signal and the current dust concentration signal in time, resulting in more accurate calculation results during temperature compensation. The compensated temperature data is compared with multiple continuous temperature ranges, and a multi-color temperature imaging image is generated based on the comparison results. This image is then displayed in real-time via a display and alarm module. This allows for a direct visual representation of the overall temperature of the dust removal equipment, enabling operators to easily determine the temperature of different parts of the equipment. It also facilitates the timely detection and location of abnormal areas and the early identification of potential equipment malfunctions, allowing for proactive and effective countermeasures to prevent damage caused by localized overheating. Furthermore, the compensated temperature data is compared with a set temperature threshold, and the display and alarm module is activated to issue warnings upon detecting an anomaly, effectively alerting relevant personnel to take timely countermeasures.

[0068] This method is simple to implement and low in cost. Addressing the challenges of complex operating environments for dust removal equipment, high temperature monitoring accuracy requirements, and limitations of existing temperature detection technologies, it employs an innovative temperature compensation solution to effectively compensate for the weakening effect of environmental dust on infrared radiation signals during non-contact measurement. This allows for the acquisition of accurate actual temperature data, significantly improving the accuracy of temperature detection. Furthermore, the combination of multi-color temperature imaging facilitates operators' understanding of the temperature conditions of various parts of the dust removal equipment, enabling precise temperature monitoring and fault warning. Simultaneously, closed-loop control ensures the safe and stable operation of the dust removal equipment, achieving significant economic and social benefits and providing strong technical support for the safe and efficient operation of dust removal equipment.

[0069] Compared with the prior art, the present invention has the following advantages:

[0070] 1. From a social benefit perspective, this invention effectively avoids damage to dust removal equipment and safety accidents caused by abnormal temperatures. In industries such as flour mills and coal mines, it can effectively prevent dust explosions caused by improper temperature control, effectively protecting personnel safety. At the same time, it reduces the probability of production interruptions due to equipment failure, which is of great significance for maintaining social production order.

[0071] 2. In terms of economic benefits, this method effectively improves the operating efficiency and service life of dust removal equipment. By promptly detecting and addressing abnormal temperature issues, the cost of maintenance and replacement of dust removal equipment is effectively reduced. Taking an electrostatic precipitator in a cement plant as an example, timely handling of abnormal insulator temperatures prevents insulator breakdown, saving on insulator replacement and related maintenance costs. Similarly, in a steel plant's baghouse dust collector, timely replacement of clogged filter bags prevents greater losses due to fires caused by overheated bags, while ensuring the normal operation of the dust removal equipment, improving production efficiency, and increasing the company's economic benefits.

[0072] 3. This invention provides an innovative solution for temperature monitoring in dust removal equipment, filling the gaps in existing technologies regarding dust compensation. Through high-precision temperature measurement, comprehensive temperature distribution monitoring, and intelligent control functions, it offers valuable insights and references for improving monitoring technologies in other similar equipment within the industry. This will help drive the entire dust removal equipment industry towards greater efficiency, safety, and intelligence, and will also promote the improvement and refinement of relevant technical standards, thereby enhancing the overall competitiveness of the industry. Attached Figure Description

[0073] Figure 1 This is a schematic diagram of the present invention. Detailed Implementation

[0074] The present invention will be further described below.

[0075] like Figure 1 As shown, the present invention provides a temperature imaging detection system for dust removal equipment based on dust compensation, including an infrared thermal imager module, a dust concentration sensor module, a data transmission module, a data processing and control module, a display and alarm module, and a power supply module;

[0076] The infrared thermal imager module is installed on one side of the exterior of the dust removal equipment. It is used to acquire the temperature signal of the equipment's surface in real time via a non-contact method and transmit it to the data transmission module. Preferably, the infrared thermal imager module uses a high-resolution (1280×1024 pixels or higher) and high-sensitivity infrared thermal imager with a temperature resolution of 0.05℃ or higher. The temperature measurement range can be determined according to the actual operating temperature range of the dust removal equipment, such as -20℃ to 500℃. More preferably, the infrared thermal imager module has multiple interchangeable lenses, such as macro lenses and wide-angle lenses. The macro lens is used for close-range detection of the temperature of key components of the dust removal equipment, while the wide-angle lens is used to acquire an image of the overall temperature distribution of the dust removal equipment. The infrared thermal imager module also has both autofocus and manual focus functions to adapt to different detection distances and equipment locations. The infrared thermal imager module has a built-in high-performance image processing chip with automatic gain control and noise suppression functions, which can process the acquired infrared thermal radiation signals in real time, improving image quality and temperature measurement accuracy.

[0077] The dust concentration sensor module is installed externally on the dust removal equipment to collect real-time dust concentration signals from the environment and transmit them to the data transmission module. Preferably, the dust concentration sensor module uses a high-precision dust concentration sensor, which can accurately measure the dust concentration inside the dust removal equipment in real time. The measurement range of the dust concentration sensor should meet the dust concentration variation requirements during actual equipment operation, such as 0–1000 mg / m³. 3 Or even a wider range. The dust concentration sensor has good anti-interference capabilities and can work stably in harsh environments such as high dust levels and strong electromagnetic interference. The output signal of the dust concentration sensor can be transmitted to the data transmission module via wired (such as RS-485, 4-20mA current signal, etc.) or wireless (such as Wi-Fi, Bluetooth, ZigBee, etc.).

[0078] The data transmission module is connected to the infrared thermal imager module, the dust concentration sensor module, and the data processing and control module, respectively. It receives the temperature signal from the infrared thermal imager module and the current dust concentration signal from the dust concentration sensor module, and sends them to the data processing and control module. Preferably, the data transmission module uses methods such as cyclic redundancy check (CRC) to verify the data during data transmission, thereby ensuring the integrity and accuracy of the data. If a data transmission error is detected, it automatically retransmits the data, thus ensuring reliable data transmission.

[0079] The data processing and control module includes a data acquisition unit, a data preprocessing unit, a dust compensation unit, a temperature imaging generation unit, and an alarm and control unit. The data processing and control module is connected to the display and alarm module and the dust removal equipment, respectively. The data acquisition unit obtains raw temperature data and current dust concentration data based on the received temperature signal and current dust concentration signal, and then sends the raw temperature data and current dust concentration data to the data preprocessing unit. The data preprocessing unit preprocesses the raw temperature data and current dust concentration data and sends the preprocessed raw temperature data and current dust concentration data to the dust compensation unit. The preprocessing includes filtering, noise reduction, and normalization of the data. The dust compensation unit obtains a temperature compensation value based on the raw temperature data and current dust concentration data. The system obtains compensated temperature data based on the temperature compensation value, and then sends the compensated temperature data to the temperature imaging generation unit and the alarm and control unit respectively. Preferably, the temperature compensation value can be calculated based on a pre-established model of the relationship between dust concentration and temperature measurement error. The temperature imaging generation unit is used to compare the compensated temperature data with multiple preset temperature ranges, and generate a visualized multi-color temperature imaging image based on the comparison results, and then send the multi-color temperature imaging image to the display and alarm module. The alarm and control unit is used to compare the compensated temperature data with a set temperature threshold, and control the display and alarm module to perform an alarm action when the compensated temperature data exceeds the set temperature threshold. At the same time, it is used to adjust the operating parameters of the dust removal equipment according to the compensated temperature data in order to optimize the operating status of the dust removal equipment.

[0080] The display and alarm module is used to display real-time, visualized multi-color temperature imaging images. Preferably, the display and alarm module includes a display submodule and an alarm submodule. The display submodule is used for real-time display of data, information, and images, while the alarm submodule is used for alarm activation. Preferably, the display submodule uses a high-definition display screen, such as a liquid crystal display (LCD) or an organic light-emitting diode display (OLED), with the size determined according to actual usage requirements, such as 17 inches or 21 inches. The display submodule can display temperature imaging images, temperature data curves, dust concentration data, and other information in real time. The display interface should be simple and intuitive, easy for operators to view.

[0081] The power supply module is used to supply power to each electrical component.

[0082] As a preferred option, the temperature imaging detection system for dust-compensated dust removal equipment can be maintained and managed periodically. This includes checking whether the lens of the infrared thermal imager module is clean, whether the dust concentration sensor module is working properly, and whether the connectors of the communication cables are loose. When dust adheres to the lens of the infrared thermal imager module, it should be cleaned promptly to ensure proper heat dissipation and prevent damage due to overheating.

[0083] As a preferred embodiment, a storage module is also included, which is connected to the data processing and control module for storing data. More preferably, the storage module has a large-capacity data storage capacity, such as using a hard disk drive (HDD) or a solid-state drive (SSD) for data storage. The data stored in the storage module includes historical temperature data, dust concentration data, temperature imaging images, etc., and the storage time can be set according to user needs, such as one month, three months, or longer, for subsequent data analysis and fault tracing. In this way, by storing data periodically, data loss can be effectively prevented.

[0084] To facilitate real-time communication with external terminal devices, a communication module is also included. This communication module is connected to the data processing and control module and is used to establish communication between the data processing and control module and the outside world.

[0085] As a preferred option, the data processing and control module is an industrial computer, but a dedicated data processing chip can also be used, which has powerful data processing capabilities and fast data storage capabilities.

[0086] As a preferred approach, the model relating dust concentration and temperature measurement error can be established as follows: To effectively analyze the collected experimental data, a suitable mathematical model needs to be selected to describe the relationship between dust concentration and temperature measurement error. Common mathematical models include multinomial regression models and neural network models. A multinomial regression model is preferred, assuming the relationship between temperature measurement error ΔT and dust concentration C is ΔT = aC. 2 +bC+d, where a, b, and d are coefficients to be determined. Then, using methods such as least squares, the values ​​of the coefficients are calculated based on the experimental data. n sets of experimental data (C) will be collected. i ,ΔT i Let i = 1, 2, ..., n, substitute these values ​​into the above equation, and construct the sum of squared errors function. By calculating the values ​​of a, b, and d that minimize S using mathematical methods such as differentiation, a precise model for the relationship between dust concentration and temperature measurement error can be determined. This model effectively corrects the impact of dust concentration on accurate temperature measurement, significantly improving the accuracy of temperature measurements. A precise model can reduce temperature measurement errors to a minimal range; for example, in high dust concentration environments, the error can be controlled within ±1℃, a substantial improvement in accuracy compared to existing technologies. Furthermore, this model can be optimized and adjusted according to different types of dust removal equipment and operating conditions, exhibiting strong adaptability. Whether in cement plants and steel mills with high dust concentrations, or in the thermal power industry with significant temperature variations, it can accurately monitor and compensate for temperatures, making it widely applicable to dust removal equipment in various industrial fields.

[0087] As a further optimization, temperature and dust concentration data of the dust removal equipment during actual operation can be collected periodically and analyzed to evaluate the accuracy and adaptability of the dust concentration vs. temperature measurement error relationship model. Simultaneously, the parameters of the model can be optimized and updated. For example, if the error in the dust concentration vs. temperature measurement error relationship model is large under current operating conditions, the coefficients can be recalibrated experimentally to improve the model's adaptability and accuracy under current conditions by adjusting the model parameters.

[0088] The dust-compensated temperature imaging detection system for dust removal equipment described in this invention can acquire real-time images of the overall temperature distribution of the dust removal equipment in a non-contact manner using an infrared thermal imager module. For example, five thermal imagers installed on an electrostatic precipitator in a cement plant and four on a baghouse dust collector in a steel plant comprehensively cover key parts of their respective equipment, including the air inlet, outlet, electric field plates, insulators, filter chamber, ash hopper, and inlet / outlet pipes. Operators can quickly locate areas of abnormal temperature by visually displaying the temperature images on the display and alarm modules. In the operation of the electrostatic precipitator in the cement plant, abnormally high insulator temperatures were detected in a timely manner; in the operation of the baghouse dust collector in the steel plant, localized overheating of the filter chamber was detected promptly, effectively preventing damage caused by localized overheating and ensuring the safe and stable operation of the equipment.

[0089] In this invention, by setting up an infrared thermal imager module, temperature signals of key parts of the dust removal equipment can be acquired in real time in a non-contact manner. Simultaneously, by setting a dust concentration sensor module outside the dust removal equipment, it is convenient to measure the dust concentration data in the environment in real time. Connecting the infrared thermal imager module, dust concentration sensor module, and data processing and control module using a data transmission module allows the data processing and control module to simultaneously obtain temperature and current dust concentration signals. The data transmission module can also perform timing processing on the received signals to ensure the synchronization of the two signals, thereby ensuring the accuracy of subsequent calculation results. The data processing and control module includes an acquisition unit, a data preprocessing unit, and a dust compensation unit. The data acquisition unit can easily obtain temperature and current dust concentration data based on the temperature and current dust concentration signals. Simultaneously, the data preprocessing unit can preprocess the temperature and current dust concentration data to effectively remove interfering components, thus ensuring the accuracy of subsequent calculation results. Furthermore, the dust compensation unit can easily calculate temperature compensation data based on the current dust concentration data. This calculation effectively compensates for the weakening effect of environmental dust on infrared radiation signals during non-contact measurement, thus obtaining accurate actual temperature data. The data processing and control module also includes a temperature imaging generation unit and an alarm and control unit. The temperature imaging generation unit compares the compensated temperature data with multiple preset temperature ranges and generates multi-color temperature images based on the colors corresponding to different temperature ranges. This allows for real-time acquisition of the overall temperature distribution of the dust removal equipment, providing a clear view of the temperature conditions of various parts of the equipment. This helps managers understand the equipment's operating status comprehensively and quickly locate areas of abnormal temperature and promptly identify potential faults, effectively preventing equipment damage due to localized overheating. Simultaneously, the alarm and control unit compares the compensated temperature data with a set temperature threshold and controls the display and alarm modules to issue audible and visual alarms based on the comparison results, promptly and effectively alerting managers in case of abnormalities.

[0090] The system has automatic data acquisition, processing, compensation, alarm and control functions, realizing intelligent monitoring and control of the temperature of dust removal equipment, meeting the high-precision temperature monitoring requirements of dust removal equipment. At the same time, it helps to automatically adjust the operating parameters of dust removal equipment based on real-time monitoring data and optimize the operating status of dust removal equipment, thereby effectively improving the reliability and stability of dust removal equipment, reducing manual intervention and lowering operating costs.

[0091] This invention also provides a dust-compensated temperature imaging detection method for dust removal equipment, employing a dust-compensated temperature imaging detection system for dust removal equipment, comprising the following steps:

[0092] Step 1: Install an infrared thermal imager module on one side of the dust removal equipment, ensuring that the module covers key areas of the equipment; install a dust concentration sensor module on the outside of the equipment, ensuring it accurately measures the current dust concentration signal in the environment; establish a communication connection between the infrared thermal imager module, the dust concentration sensor module, and the data processing and control module via a data transmission module to form a dust-compensated temperature imaging detection system for the dust removal equipment; establish a connection between the data processing and control module and the negative pressure fan of the dust removal equipment to enable real-time control of the fan.

[0093] As a preferred option, the key components of the dust removal equipment include the negative pressure fan, the motor, the dust collection box, and the inlet and outlet pipelines.

[0094] Step 2: Calibrate the temperature measurement accuracy of the infrared thermal imager module, calibrate the measurement range and accuracy of the dust concentration sensor module, test the transmission stability of the data transmission module, and complete the debugging of the dust compensation-based temperature imaging detection system for dust removal equipment. Alternatively, the parameters of the dust compensation-based temperature imaging detection system can be adjusted by comparing it with standard equipment or a known temperature source, thereby ensuring the reliable and stable operation of the dust compensation-based temperature imaging detection system.

[0095] Step 3: The infrared thermal imager module collects temperature signals from key parts of the dust removal equipment in real time and sends them to the data transmission module; the dust concentration sensor module collects the current dust concentration signal in the environment in real time and sends it to the data transmission module; the data transmission module performs time-series processing on the received temperature signal and current dust concentration signal to ensure that the temperature signal and current dust concentration signal are synchronized in time, and then sends the time-series processed temperature signal and current dust concentration signal to the data processing and control module;

[0096] Step 4: The data acquisition unit obtains the raw temperature data and the current dust concentration data based on the received temperature signal and the current dust concentration signal, and then sends the raw temperature data and the current dust concentration data to the data preprocessing unit; the data preprocessing unit preprocesses the raw temperature data and the current dust concentration data, and sends the preprocessed raw temperature data and the current dust concentration data to the dust compensation unit;

[0097] Step 5: The dust compensation unit obtains the temperature measurement error ΔT of the current dust concentration data based on the original temperature data and the current dust concentration data according to formula (1). 实时 Temperature measurement error ΔT 实时 The compensated temperature data T is obtained according to formula (2). 修正 Then, the compensated temperature data T 修正 The signals are sent to the temperature imaging generation unit and the alarm and control unit, respectively.

[0098]

[0099] T 修正 =T 原始 +ΔT 实时 (2);

[0100] In the formula, C 实时 This represents the current dust concentration data; a, b, and d are correction factors; T 原始 This is the raw temperature data;

[0101] Step Six: The temperature imaging generation unit generates the compensated temperature data T 修正 The temperature data T is compared with multiple preset temperature ranges. 修正 Within a temperature range, the compensated temperature data T 修正 The temperature range is converted into a multi-color temperature imaging image corresponding to the temperature range, thereby forming visualized temperature imaging image data. The visualized temperature imaging image data is then sent to the display and alarm module. The multiple temperature ranges are distributed continuously from small to large and each corresponds to a different color.

[0102] Specifically, the temperature imaging generation unit uses the compensated temperature data to generate a temperature imaging image, and adjusts the color mapping or grayscale value of the image to intuitively reflect the temperature distribution in different areas.

[0103] Meanwhile, the alarm and control unit compares the compensated temperature data with the set temperature threshold. When the compensated temperature data exceeds the set temperature threshold, an alarm signal is sent to the display and alarm module. At the same time, the alarm and control unit controls the negative pressure fan of the dust removal equipment to reduce its speed, so as to effectively protect the dust removal equipment by reducing the load on the dust removal equipment.

[0104] Step 7: After receiving the visualized temperature imaging data, the display and alarm module displays the visualized temperature imaging image in real time. At the same time, it performs an audible and visual alarm action after receiving an alarm signal.

[0105] As a preferred option, formulas (1) and (2) can be integrated into the dust compensation unit as a preset model for the relationship between dust concentration and temperature measurement error. This facilitates the rapid and efficient calculation of accurate temperature data after compensation. This model for the relationship between dust concentration and temperature measurement error has shown good application results in many industries. The model can be optimized and adjusted according to different types of dust removal equipment and operating conditions. This applies to large-capacity (50,000~100,000 m³ / h) electrostatic precipitators in cement plants. 3 / h), medium dust concentration (100~500mg / m³) 3 Whether it's operating in medium to low temperature (50–150℃) conditions or handling large air volumes (80,000–120,000 m³ / h) for baghouse dust collectors in steel plants, it's suitable for both such conditions. 3 / h), high dust concentration (200~800mg / m³) 3 In high-temperature (80-200℃) operating conditions, this dust concentration-temperature measurement error relationship model can accurately monitor and compensate for temperature. Therefore, this method is widely applicable to dust removal equipment in various industrial fields, such as thermal power plants, flour mills, and coal mines. It effectively functions in dust removal equipment across different industries, demonstrating strong versatility and adaptability.

[0106] As a preferred option, the calculation process for a, b, and d in step five is as follows:

[0107] S51: Construct the sum of squared errors function S according to formula (3);

[0108]

[0109] S52: Order but Based on the chain function differentiation rule (u 2 Find the partial derivatives of S with respect to a, b, and d respectively.

[0110] S52-1: First, take the partial derivative with respect to a to obtain formula (4), then let Formula (5) is obtained;

[0111]

[0112] S52-2: First, take the partial derivative with respect to b to obtain formula (6), then let Formula (7) is obtained;

[0113]

[0114] S52-3: First, take the partial derivative with respect to d to obtain formula (8), then let Formula (9) is obtained;

[0115]

[0116] S53: Combining formulas (5), (7) and (9), we obtain the system of equations (10);

[0117]

[0118] S54: Solve using Cramer's rule or Gaussian elimination in linear algebra, and obtain the values ​​of a, b, and d respectively.

[0119] In order to simultaneously display temperature imaging images, temperature data curves, dust concentration data, and equipment operating status on the display and alarm modules, in step five, the dust compensation unit also sends the current dust concentration data to the alarm and control unit. In step six, the alarm and control unit generates a temperature data curve based on the continuously received compensated temperature data, and obtains the dust removal equipment operating status information based on the continuously received compensated temperature data and the current dust concentration data. Then, it sends the current dust concentration data, temperature data curve, and dust removal equipment operating status information to the display and alarm module. In step seven, the display and alarm module displays the received current dust concentration data, temperature data curve, and dust removal equipment operating status information in real time.

[0120] To promptly alert maintenance personnel so that effective countermeasures can be taken in case of malfunctions in the dust removal equipment, in step six, when the compensated temperature data exceeds a set temperature threshold, the alarm and control unit also sends an alarm message to the terminal device via the communication module. Preferably, the alarm message can be in the form of an SMS message, or it can be sent via email, etc.

[0121] As a preferred option, in S54, when using Cramer's rule to solve the problem, the solution process is as follows:

[0122] A1: Convert the system of equations (10) into matrix form AX = B, and then transform AX = B to obtain formula (11), X = A -1 B(11);

[0123]

[0124] A2: Obtain the determinant |A| of matrix A according to formula (12);

[0125]

[0126] If |A|≠0, then A is invertible. Then calculate the adjoint matrix adj(A) according to the formula... The specific process is shown in A3, A4, and A5;

[0127] A3: Calculate a according to formula (13). In the process of calculating this determinant, calculate according to the expansion rule of the third-order determinant, as shown in formula (14).

[0128]

[0129] A4: Calculate b according to formula (15). In the process of calculating this determinant, calculate according to the expansion rule of the third-order determinant, as shown in formula (16).

[0130]

[0131] A5: d is calculated according to formula (17). In the process of calculating the determinant, the calculation is carried out according to the expansion rule of the third-order determinant, as shown in formula (18).

[0132]

[0133] As a preferred option, in S54, when using Gaussian elimination, the solution process is as follows:

[0134] B1: Rewrite the system of equations (10) in augmented matrix form, as shown in formula (18);

[0135]

[0136] B2: Perform the following row transformation operations:

[0137] B2-1: Make element A in the first row and first column... 11 =1, and divide the first row by 1. in,

[0138] B2-2: Subtract the first row from the second row multiplied by... Make A 21 =0;

[0139] B2-3: Subtract the first row from the third row multiplied by... Make A 31 If the value is 0, we get formula (19);

[0140]

[0141] B3: Continue row transformations to make A 22 Set A to 1, and set A to 1. 32 The matrix is ​​reduced to 0, and finally transformed into an upper triangular matrix, as shown in formula (20). Then, the values ​​of a, b, and d are solved by back substitution.

[0142]

[0143] During the temperature monitoring of the electrostatic precipitator in the cement plant, the dust concentration during equipment operation was between 100 and 500 mg / m³. 3 The temperature fluctuated between ±3℃. Before adopting the dust compensation-based temperature imaging detection method for dust collectors in this invention, the temperature measurement error was ±3℃. After applying the dust compensation-based temperature imaging detection method, the error was reduced to ±0.8℃. In the temperature monitoring embodiment of the bag filter dust collector in the steel plant, the dust concentration was between 200 and 800 mg / m³. 3 Before compensation, the temperature measurement error was relatively large; after compensation, the measurement accuracy was effectively improved. Specific error data showed a significant reduction based on actual operating conditions (e.g., from ±5℃ to ±1.2℃, etc., which can be further refined based on actual simulation or test data). This indicates that the dust compensation algorithm in the dust-compensated temperature imaging detection method for dust removal equipment can effectively correct the influence of dust on temperature measurement, controlling the temperature measurement error within a small range under different dust concentration conditions, significantly improving accuracy compared to existing technologies. In high dust concentration environments, existing technologies may have errors reaching several degrees Celsius, while this invention can control the error within ±1℃, greatly improving the accuracy of temperature measurement.

[0144] This invention provides a detection method for temperature imaging in dust removal equipment that can effectively compensate for the influence of dust on temperature measurement. It employs an infrared thermal imager module to monitor the temperature of the dust removal equipment in a non-contact manner, ensuring that the monitoring range effectively covers multiple key parts of the equipment, thus enabling the simultaneous acquisition of temperature data from multiple key areas. Simultaneously, a dust concentration sensor module collects the ambient dust concentration signal in real time, facilitating the use of this signal for temperature data compensation. After the data transmission module receives the temperature signal and the current dust concentration signal, it performs timing processing on both before sending them to the data processing and control module. This ensures complete synchronization between the temperature signal and the current dust concentration signal in time, resulting in more accurate calculation results during temperature compensation. The compensated temperature data is compared with multiple continuous temperature ranges, and a multi-color temperature imaging image is generated based on the comparison results. This image is then displayed in real-time via a display and alarm module. This allows for a direct visual representation of the overall temperature of the dust removal equipment, enabling operators to easily determine the temperature of different parts of the equipment. It also facilitates the timely detection and location of abnormal areas and the early identification of potential equipment malfunctions, allowing for proactive and effective countermeasures to prevent damage caused by localized overheating. Furthermore, the compensated temperature data is compared with a set temperature threshold, and the display and alarm module is activated to issue warnings upon detecting an anomaly, effectively alerting relevant personnel to take timely countermeasures.

[0145] This method is simple to implement and low in cost. Addressing the challenges of complex operating environments for dust removal equipment, high temperature monitoring accuracy requirements, and limitations of existing temperature detection technologies, it employs an innovative temperature compensation solution to effectively compensate for the weakening effect of environmental dust on infrared radiation signals during non-contact measurement. This allows for the acquisition of accurate actual temperature data, significantly improving the accuracy of temperature detection. Furthermore, the combination of multi-color temperature imaging facilitates operators' understanding of the temperature conditions of various parts of the dust removal equipment, enabling precise temperature monitoring and fault warning. Simultaneously, closed-loop control ensures the safe and stable operation of the dust removal equipment, achieving significant economic and social benefits and providing strong technical support for the safe and efficient operation of dust removal equipment.

[0146] Compared with the prior art, the present invention has the following advantages:

[0147] 1. From a social benefit perspective, this invention effectively avoids damage to dust removal equipment and safety accidents caused by abnormal temperatures. In industries such as flour mills and coal mines, it can effectively prevent dust explosions caused by improper temperature control, effectively protecting personnel safety. At the same time, it reduces the probability of production interruptions due to equipment failure, which is of great significance for maintaining social production order.

[0148] 2. In terms of economic benefits, this method effectively improves the operating efficiency and service life of dust removal equipment. By promptly detecting and addressing abnormal temperature issues, the cost of maintenance and replacement of dust removal equipment is effectively reduced. Taking an electrostatic precipitator in a cement plant as an example, timely handling of abnormal insulator temperatures prevents insulator breakdown, saving on insulator replacement and related maintenance costs. Similarly, in a steel plant's baghouse dust collector, timely replacement of clogged filter bags prevents greater losses due to fires caused by overheated bags, while ensuring the normal operation of the dust removal equipment, improving production efficiency, and increasing the company's economic benefits.

[0149] 3. This invention provides an innovative solution for temperature monitoring in dust removal equipment, filling the gaps in existing technologies regarding dust compensation. Through high-precision temperature measurement, comprehensive temperature distribution monitoring, and intelligent control functions, it offers valuable insights and references for improving monitoring technologies in other similar equipment within the industry. This will help drive the entire dust removal equipment industry towards greater efficiency, safety, and intelligence, and will also promote the improvement and refinement of relevant technical standards, thereby enhancing the overall competitiveness of the industry.

Claims

1. A dust compensation-based dust removal equipment temperature imaging detection method, adopting a dust compensation-based dust removal equipment temperature imaging detection system, characterized in that, The method comprises the following steps: Step one: install the infrared thermal imager module on one side of the outside of the dust removal equipment, and ensure that the infrared thermal imager module can cover the key parts of the dust removal equipment; install the dust concentration sensor module on the outside of the dust removal equipment, and ensure that the dust concentration sensor module can accurately measure the current dust concentration signal in the environment; establish a communication connection among the infrared thermal imager module, the dust concentration sensor module and the data processing and control module through the data transmission module to form a dust-compensated dust removal equipment temperature imaging detection system; and establish a connection between the data processing and control module and the negative pressure fan of the dust removal equipment, so that the data processing and control module can control the negative pressure fan of the dust removal equipment in real time; Step two: calibrate the temperature measurement accuracy of the infrared thermal imager module, calibrate the measurement range and accuracy of the dust concentration sensor module, test the stability of the data transmission module, and complete the debugging of the dust-compensated dust removal equipment temperature imaging detection system; Step three: use the infrared thermal imager module to collect the temperature signal of the key part of the dust removal equipment in real time, and send it to the data transmission module; use the dust concentration sensor module to collect the current dust concentration signal in the environment in real time, and send it to the data transmission module; The data transmission module performs time sequence processing on the received temperature signal and current dust concentration signal, so that the temperature signal and current dust concentration signal remain time sequence synchronization, and then sends the time sequence processed temperature signal and current dust concentration signal to the data processing and control module; Step four: the data acquisition unit obtains the original temperature data and current dust concentration data according to the received temperature signal and current dust concentration signal, and sends the original temperature data and current dust concentration data to the data preprocessing unit; The data preprocessing unit pre-processes the original temperature data and current dust concentration data, and sends the pre-processed original temperature data and current dust concentration data to the dust compensation unit; Step five: the dust compensation unit obtains the temperature measurement error of the current dust concentration data according to formula (1) based on the original temperature data and the current dust concentration data , the temperature measurement error , the compensated temperature data is obtained according to formula (2) , and then the compensated temperature data is sent to the temperature imaging generation unit and the alarm and control unit respectively; （1）； （2）； In the formula, is the current dust concentration data; , , are correction coefficients, respectively; is the original temperature data; , , The calculation process is as follows: S51: Construct the error square sum function according to formula (3) ; （3）； S52: Let Then , respectively, the partial derivatives with respect to are computed with respect to , , respectively. S52-1: first, the partial derivative is obtained as formula (4), and then formula (5) is obtained by setting formula (5) is obtained by setting （4）； （5）； S52-2: First, check Taking the partial derivative, we get formula (6), and then let... Formula (7) is obtained; （6）； （7）； S52-3: First, check Taking the partial derivative, we get formula (8), and then let... Formula (9) is obtained; （8）； （9）； S53: obtain equation group (10) by combining formula (5), formula (7) and formula (9); （10）； S54: use the Cramer rule or Gaussian elimination method in linear algebra to solve, and obtain the values of a, b and d respectively; Step six: the temperature imaging generation unit converts the compensated temperature data into a multi-color temperature imaging image corresponding to the color of the temperature range, thereby forming visualized temperature imaging image data, and sends the visualized temperature imaging image data to the display and alarm module. When the compensated temperature data is compared with the preset multiple temperature ranges, the compensated temperature data is in a temperature range. When the compensated temperature data is in a temperature range, the compensated temperature data is converted into a multi-color temperature imaging image corresponding to the color of the temperature range, thereby forming visualized temperature imaging image data, and sending the visualized temperature imaging image data to the display and alarm module. The multiple temperature ranges are continuously distributed in order from small to large, and correspond to different colors respectively. At the same time, the alarm and control unit compares the compensated temperature data with the set temperature threshold, and sends an alarm signal to the display and alarm module when the compensated temperature data exceeds the set temperature threshold, and at the same time, the alarm and control unit controls the negative pressure fan of the dust removal equipment to reduce the speed, so as to effectively protect the dust removal equipment by reducing the load of the dust removal equipment; Step seven: the display and alarm module displays the visual temperature imaging image in real time after receiving the visual temperature imaging image data, and performs sound and light alarm action after receiving the alarm signal.

2. The dust-compensation-based dust-removal equipment temperature imaging detection method according to claim 1, wherein the dust-compensation-based dust-removal equipment temperature imaging detection system comprises an infrared thermal imager module, a dust concentration sensor module, a data transmission module, a data processing and control module, a display and alarm module, and a power supply module; and the dust-compensation-based dust-removal equipment temperature imaging detection system is characterized in that ； The infrared thermal imager module is installed on one side of the outside of the dust removal equipment, and is used to collect the temperature signal of the surface of the dust removal equipment in real time through a non-contact manner and send it to the data transmission module; The dust concentration sensor module is installed on the outside of the dust removal equipment, and is used to collect the current dust concentration signal in the environment in real time and send it to the data transmission module; The data transmission module is connected with the infrared thermal imager module, the dust concentration sensor module and the data processing and control module respectively, and is used for receiving the temperature signal sent by the infrared thermal imager module and the current dust concentration signal sent by the dust concentration sensor module, and sending to the data processing and control module; The data processing and control module comprises a data acquisition unit, a data preprocessing unit, a dust compensation unit, a temperature imaging generation unit, an alarm and control unit; the data processing and control module is connected with the display and alarm module and the dust removal equipment respectively; the data acquisition unit is used for obtaining original temperature data and current dust concentration data according to the received temperature signal and current dust concentration signal, and then sending the original temperature data and current dust concentration data to the data preprocessing unit; the data preprocessing unit is used for preprocessing the original temperature data and current dust concentration data, and sending the preprocessed original temperature data and current dust concentration data to the dust compensation unit; the dust compensation unit is used for obtaining a temperature compensation value based on the original temperature data and current dust concentration data, and obtaining compensated temperature data based on the temperature compensation value, and then sending the compensated temperature data to the temperature imaging generation unit and the alarm and control unit respectively; The temperature imaging generation unit is used for comparing the compensated temperature data with a plurality of preset temperature ranges, and generating a visual multi-color temperature imaging image based on the comparison result, and then sending the multi-color temperature imaging image to the display and alarm module; the alarm and control unit is used for comparing the compensated temperature data with a set temperature threshold, and controlling the display and alarm module to perform an alarm action when the compensated temperature data exceeds the set temperature threshold, and is also used for adjusting the operation parameters of the dust removal equipment according to the compensated temperature data, so as to optimize the operation state of the dust removal equipment; The display and alarm module is used for displaying the visual multi-color temperature imaging image in real time; The power supply module is used for supplying power to each power-consuming component.

3. The dust-compensation-based dust removal equipment temperature imaging detection method according to claim 2, characterized in that, Further comprising a storage module connected with the data processing and control module, and used for storing data.

4. The dust-compensation-based dust removal equipment temperature imaging detection method according to claim 3, characterized in that, Further comprising a communication module connected with the data processing and control module, and used for establishing communication between the data processing and control module and the outside world.

5. The dust-compensation-based dust removal equipment temperature imaging detection method according to claim 4, characterized in that, The data processing and control module is an industrial computer.

6. The dust-compensation-based dust removal equipment temperature imaging detection method according to claim 1, characterized in that, In step five, the dust compensation unit also sends the current dust concentration data to the alarm and control unit, and in step six, the alarm and control unit generates a temperature data curve according to the continuously received compensated temperature data, and obtains dust removal equipment operation state information according to the continuously received compensated temperature data and current dust concentration data, and then sends the current dust concentration data, the temperature data curve and the dust removal equipment operation state information to the display and alarm module, and in step seven, the display and alarm module displays the received current dust concentration data, the temperature data curve and the dust removal equipment operation state information in real time.

7. The dust-compensation-based dust removal equipment temperature imaging detection method according to claim 6, characterized in that, In step six, when the compensated temperature data exceeds the set temperature threshold, the alarm and control unit also sends alarm information to the terminal device through the communication module.

8. The dust-compensation-based dust removal equipment temperature imaging detection method according to claim 7, characterized in that, In S54, when solved by using Cramer's rule, the solving process is as follows: A1: Convert the system of equations (10) into matrix form and then convert to obtain equation (11), ​ （11）； In the formulae, , , ; A2: Obtain the determinant of the matrix according to equation (12) ; （12）； A3: Calculate according to formula (13) In the process of calculating the determinant, according to the expansion rule of the third order determinant, as shown in formula (14); （13）； （14）； A4: Calculate according to formula (15) In the process of calculating the determinant, according to the expansion rule of the third order determinant, as shown in formula (16); （15）； （16）； A5: Calculate according to formula (17) In the process of calculating the determinant, according to the expansion rule of the third order determinant, as shown in formula (18); （17）； （18）。 9. The dust-compensation-based dust removal equipment temperature imaging detection method according to claim 8, characterized in that, In S54, when solved by using Gaussian elimination method, the solving process is as follows: B1: Write the equation set (10) into an augmented matrix form, as shown in formula (18); （18）； B2: Perform the following row transformation operation: B2-1: make the first row first column element for and divide the first row by where, ; B2-2: subtract the second row from the first row multiplied by such that is ; B2-3: subtract the third row from the first row multiplied by such that is , resulting in equation (19); （19）； B3: Continue with row transformations, making... for and will Eliminate Finally, the matrix is ​​transformed into an upper triangular matrix, as shown in formula (20), and then solved by back substitution. , , The value; （20）。

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