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

Abstract

The invention relates to a dust compensation-based temperature imaging detection system and method for dust removal equipment. According to the system, an infrared thermal imager module is mounted on one side of the exterior of the dust removal equipment; the dust concentration sensor module is mounted outside the dust removal equipment; the data transmission module is respectively connected with the thermal infrared imager module, the dust concentration sensor module and 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 and an alarm and control unit; and the data processing and control module is respectively connected with the display and alarm module and the dust removal equipment. The method comprises the following steps: based on temperature data and current dust concentration data, obtaining compensated temperature data through a temperature compensation algorithm; and generating and displaying a multi-color temperature imaging image according to the compensated temperature data, comparing the multi-color temperature imaging image with a set temperature threshold value, and controlling the display and alarm module to give an alarm when the multi-color temperature imaging image is abnormal. According to the system and the method, the temperature of the dust removal equipment can be accurately monitored.

Description

Technical Field

[0001] The present invention belongs to the technical field of dust detection, and in particular relates to a temperature imaging detection system and method for dust removal equipment based on dust compensation. Background Art

[0002] Some production workshops or production sites will generate a lot of dust during the production process. For example, in the dust removal process of the steel, cement, chemical and other industries, various types of dust will be generated, including metal dust, cement dust, chemical raw material dust, etc. These dusts will cause certain damage to the workers' respiratory system and skin, and even cause occupational diseases. Dust removal equipment can effectively treat dust, thereby effectively protecting the health of workers.

[0003] Accurate temperature monitoring of dust removal equipment is crucial for its safe operation. Excessive temperature may cause damage to some components, such as the bags in the bag filter may burn due to high temperature, and the plates in the electrostatic precipitator may deform due to overheating, which will affect the dust removal efficiency and the service life of the equipment. In addition, abnormal temperature may also lead to safety accidents, such as dust explosions. For dust removal equipment used in flour mills, coal mines and other places, if the temperature is not properly controlled, dust may explode under certain concentrations and temperature conditions, and may even cause serious casualties and property losses. Therefore, real-time and accurate grasp of the temperature distribution of dust removal equipment is of great significance to ensure the safe and stable operation of dust removal equipment and improve production efficiency.

[0004] There are two main existing temperature detection technologies for dust removal equipment, one is contact temperature measurement technology, and the other is non-contact temperature measurement technology. The traditional contact temperature measurement method mainly uses temperature sensors such as thermocouples and thermal resistors to measure temperature. This method has many problems in the temperature detection of dust removal equipment. On the one hand, due to the large amount of dust inside the equipment, the installation process of the sensor is more difficult, and the sensor is easily covered by dust, which will affect the heat transfer and lead to inaccurate measurement results. On the other hand, contact sensors are easily damaged due to wear, corrosion and other reasons during long-term use, and thus require frequent maintenance and replacement, which increases the operating cost and downtime of the equipment. On the other hand, contact temperature measurement technology can only obtain the local temperature of the sensor installation point, and cannot fully reflect the overall temperature distribution of the equipment. Non-contact temperature measurement equipment such as infrared thermal imagers are widely used in the temperature detection of dust removal equipment, but dust will affect the reliable transmission of infrared radiation signals, which will have a serious impact on the accuracy of the measurement results. Because dust absorbs and scatters infrared radiation, the signal strength received by the thermal imager is weakened, and the measured temperature is lower than the actual temperature. For example, in an environment with high dust concentration, the temperature error measured by an infrared thermal imager may reach several degrees Celsius or even higher. At the same time, the heat radiation of the dust itself will also interfere with the judgment of the true temperature of the equipment components, resulting in large deviations in the measurement results. At present, the existing temperature detection technology lacks effective dust compensation measures, and thus cannot meet the high-precision temperature monitoring needs of dust removal equipment. Summary of the invention

[0005] In view of the problems existing in the above-mentioned prior art, the present invention provides a temperature imaging detection system and method for dust removal equipment based on dust compensation. The system has automatic data acquisition, processing, compensation, alarm and control functions, can realize intelligent monitoring and control of the temperature of the dust removal equipment, and can meet the high-precision temperature monitoring requirements of the dust removal equipment; the method has a simple implementation process and low implementation cost, and can greatly improve the accuracy of temperature detection. At the same time, it can effectively ensure the safe and stable operation of the dust removal equipment, and has good economic and social benefits.

[0006] In order to achieve the above-mentioned object, the present invention provides a dust removal equipment temperature imaging detection system 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;

[0007] The infrared thermal imager module is installed on one side of the dust removal device, and is used to collect the temperature signal of the surface of the dust removal device 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 and is used 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, and 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 is used to obtain original temperature data and current dust concentration data according to the received temperature signal and the current dust concentration signal, and then send the original temperature data and the current dust concentration data to the data preprocessing unit; the data preprocessing unit is used to preprocess the original temperature data and the current dust concentration data, and send the preprocessed original temperature data and the current dust concentration data to the dust compensation unit; the dust compensation unit is used to obtain the original temperature data and the current dust concentration data based on the original temperature data and the current dust concentration data A temperature compensation value is obtained, and compensated temperature data is obtained based on the temperature compensation value, and the compensated temperature data is sent to the temperature imaging generation unit and the alarm and control unit respectively; the temperature imaging generation unit is used to compare the compensated temperature data with a plurality of preset temperature ranges, and generate a visual multi-color temperature imaging image based on the comparison result, 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, and at the same time, is used to adjust the operating parameters of the dust removal equipment according to the compensated temperature data, so as to optimize the operating state of the dust removal equipment;

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

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

[0013] As a preference, it further comprises a storage module, which is connected to the data processing and control module and is used for storing data.

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

[0015] Preferably, the data processing and control module is an industrial computer.

[0016] In the present invention, by setting up the infrared thermal imager module, the temperature signal of the key part of the dust removal equipment can be obtained in real time in a non-contact manner. At the same time, by setting up the dust concentration sensor module outside the dust removal equipment, it is convenient to measure the dust concentration data in the environment in real time. By connecting the infrared thermal imager module, the dust concentration sensor module and the data processing and control module using the data transmission module, it is convenient for the data processing and control module to synchronously obtain the temperature signal and the current dust concentration signal, and the data transmission module can process the timing of the received signal to ensure the synchronization of the timing of the two signals, thereby ensuring the accuracy of the subsequent calculation results. In the data processing and control module, an acquisition unit, a data preprocessing unit, and a dust compensation unit are respectively set up, which can facilitate the use of the data acquisition unit to obtain temperature data and current dust concentration data based on the temperature signal and the current dust concentration signal. At the same time, it can facilitate the use of the data preprocessing unit to preprocess the temperature data and the current dust concentration data, so as to effectively remove interference components, thereby ensuring the accuracy of the subsequent calculation results. Further, it is convenient to use the dust compensation unit to calculate the temperature compensation data based on the current dust concentration data. Through the calculation of the temperature compensation data, the weakening effect of the dust in the environment on the infrared radiation signal during the non-contact measurement process can be effectively compensated, so that the real actual temperature data can be obtained. A temperature imaging generation unit and an alarm and control unit are also set in the data processing and control module. It is convenient to use the temperature imaging generation unit to compare the compensated temperature data with the preset multiple temperature ranges, and generate a multi-color temperature imaging image according to the colors corresponding to different temperature ranges. In this way, the overall temperature distribution image of the dust removal equipment can be obtained in real time, and the temperature conditions of various parts of the dust removal equipment can be intuitively displayed, which helps the management personnel to intuitively and comprehensively understand the operating status of the dust removal equipment. In this way, the relevant management personnel can quickly locate the area with abnormal temperature, and can timely discover potential fault hazards, which can effectively avoid the occurrence of equipment damage caused by local overheating. At the same time, the alarm and control unit can compare the compensated temperature data with the set temperature threshold, and control the display and alarm module to make an audible and visual alarm based on the comparison results, so that the relevant management personnel can be reminded in time and effectively when an abnormal situation occurs.

[0017] The system has automatic data collection, processing, compensation, alarm and control functions, realizes intelligent monitoring and control of the temperature of dust removal equipment, meets the high-precision temperature monitoring needs of dust removal equipment, and at the same time, helps to automatically adjust the operating parameters of dust removal equipment according to 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 reducing operating costs.

[0018] The present invention also provides a dust removal equipment temperature imaging detection method based on dust compensation, using a dust removal equipment temperature imaging detection system based on dust compensation, comprising the following steps:

[0019] Step 1: Install an 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 a 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 between 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 removal equipment temperature imaging detection system based on dust compensation; 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;

[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 transmission stability of the data transmission module, and complete the debugging of the dust removal equipment temperature imaging detection system based on dust compensation;

[0021] Step 3: Use the infrared thermal imager module to collect the temperature signal of the key parts 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 the current dust concentration signal to keep the temperature signal and the current dust concentration signal in time sequence synchronization, and then sends the time sequence processed temperature signal and the current dust concentration signal to the data processing and control module;

[0022] Step 4: The data acquisition unit obtains original temperature data and current dust concentration data according to the received temperature signal and current dust concentration signal, and then sends the original temperature data and current dust concentration data to the data preprocessing unit; the data preprocessing unit preprocesses the original temperature data and current dust concentration data, and sends the preprocessed original temperature data and 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 , then the temperature measurement error ΔT 实时 According to formula (2), the compensated temperature data T is obtained. 修正 Then, the compensated temperature data T 修正 Send 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 is the current dust concentration data; a, b, d are correction coefficients respectively; T 原始 is the original temperature data;

[0027] Step 6: The temperature imaging generation unit generates the compensated temperature data T 修正 Compare with the preset multiple temperature ranges, when the compensated temperature data T 修正 Within a temperature range, the compensated temperature data T 修正 Converting into a multi-color temperature imaging image with colors corresponding to the temperature range, thereby forming visualized temperature imaging image data, and then sending the visualized temperature imaging image data to the display and alarm module, wherein the multiple temperature ranges are continuously distributed step by step from small to large, and correspond to different colors respectively;

[0028] At the same time, the alarm and control unit compares the compensated temperature data with the set temperature threshold, and sends a warning signal to the display and alarm module when the compensated temperature data exceeds the set temperature threshold. 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;

[0029] Step 7: After receiving the visualized temperature imaging image data, the display and alarm module performs real-time display of the visualized temperature imaging image, and at the same time, performs sound and light alarm actions after receiving the alarm signal.

[0030] As a preferred embodiment, in step 5, the calculation process of a, b, and d is as follows:

[0031] S51: construct an error square sum 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, find the partial derivative of a to obtain formula (4), then let We get formula (5);

[0035]

[0036] S52-2: First, find the partial derivative of b to obtain formula (6), then let We get formula (7);

[0037]

[0038] S52-3: First, we obtain the partial derivative of d to obtain formula (8), and then let We get formula (9);

[0039]

[0040] S53: Combining formula (5), formula (7) and formula (9) to obtain equation group (10);

[0041]

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

[0043] In order to be able to view the temperature imaging image, temperature data curve, dust concentration data and equipment operating status information on the display and alarm module at the same time, in step five, the dust compensation unit also sends the current dust concentration data to the alarm and control unit respectively. 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, and then 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 remind relevant maintenance personnel so that they can take effective countermeasures in time when an abnormality occurs in the dust removal equipment, 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 embodiment, in S54, when Cramer's law is used for solving, the solving process is as follows:

[0046] A1: Convert equation group (10) into matrix form AX=B, and then convert 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 the determinant, the calculation is performed 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 the determinant, the calculation is performed according to the expansion rule of the third-order determinant, as shown in formula (16);

[0053]

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

[0055]

[0056]

[0057] As a preferred embodiment, in S54, when the Gaussian elimination method is used for solving, the solving process is as follows:

[0058] B1: Write equation group (10) into an augmented matrix form, as shown in formula (18);

[0059]

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

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

[0062] B2-2: Subtract the first row from the second row and multiply by Make A 21 is 0;

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

[0064]

[0065] B3: Continue to transform the row so that A 22 is 1, and A 32The matrix is ​​finally transformed into an upper triangular matrix, as shown in formula (20), and then the values ​​of a, b, and d are solved by back substitution;

[0066]

[0067] The present invention provides a detection method for temperature imaging of dust removal equipment that can effectively compensate for the influence of dust on temperature measurement. The infrared thermal imager module is used to monitor the temperature of the dust removal equipment in a non-contact manner, which can ensure that the monitoring range can effectively cover multiple key parts of the dust removal equipment, so that the temperature data of multiple key parts can be collected at the same time. While collecting the temperature signal, the dust concentration sensor module is used to collect the dust concentration signal in the environment in real time, which can facilitate the use of the dust concentration signal in the environment to compensate for the measured temperature data. After the data transmission module receives the temperature signal and the current dust concentration signal, the two are first time-series processed and then sent to the data processing and control module, which can effectively ensure that the temperature signal and the current dust concentration signal can be completely synchronized in time, and thus more accurate calculation results can be obtained in the temperature compensation process. 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. The multi-color temperature imaging image is then displayed in real time through the display and alarm module. In this way, the overall temperature of the dust removal equipment can be intuitively displayed through the multi-color temperature imaging image, which can facilitate the operator to intuitively judge the temperature of each part of the dust removal equipment based on the multi-color temperature imaging image, and is conducive to timely discovery and positioning of abnormal areas, and can also timely discover potential equipment failure hazards, so that effective countermeasures can be taken in advance, which can effectively avoid equipment damage caused by local overheating. Comparing the compensated temperature data with the set temperature threshold, and controlling the display and alarm module to perform an alarm action after an abnormality, can effectively remind relevant personnel to take timely countermeasures when an abnormality occurs.

[0068] The implementation process of the method is simple and the implementation cost is low. It aims at a series of problems such as the complex operating environment of the dust removal equipment, the high demand for temperature monitoring accuracy and the limitations of the existing temperature detection technology. The innovative technical solution of temperature compensation effectively compensates for the weakening effect of the dust in the environment on the infrared radiation signal during the non-contact measurement process, thereby obtaining real actual temperature data and greatly improving the accuracy of temperature detection. At the same time, combined with multi-color temperature imaging images, it is convenient for operators to know the temperature conditions of various parts of the dust removal equipment, and realize accurate monitoring of the temperature of the dust removal equipment and fault warning. At the same time, it can ensure the safe and stable operation of the dust removal equipment through closed-loop control, achieve significant economic and social benefits, and provide strong technical support for the safe and efficient operation of the dust removal equipment.

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

[0070] 1. From the perspective of social benefits, the present invention effectively avoids the damage of dust removal equipment and safety accidents caused by abnormal temperature. For example, in flour mills, coal mines and other industries, it can effectively prevent dust explosions caused by improper temperature control, effectively protect the lives of personnel, and at the same time, reduce the probability of production interruptions caused by equipment failures, which is of great significance to 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 timely discovering and handling temperature anomalies, the cost of dust removal equipment maintenance and replacement is effectively reduced. Taking the cement plant electrostatic precipitator as an example, timely handling of insulator temperature anomalies avoids insulator breakdown, saving insulator replacement and related maintenance costs; steel plant bag filter timely replaces clogged bags, avoiding greater losses caused by fires caused by overheating of bags, while ensuring the normal operation of dust removal equipment, improving production efficiency, and increasing the economic benefits of the enterprise.

[0072] 3. The present invention provides an innovative solution for the field of temperature monitoring of dust removal equipment, filling the gap in the existing technology in dust compensation. Through high-precision temperature measurement, comprehensive temperature distribution monitoring and intelligent control functions, it can provide reference and reference for the improvement of monitoring technology of other similar equipment in the industry, help promote the development of the entire dust removal equipment industry in a more efficient, safer and more intelligent direction, and promote the improvement and improvement of relevant technical standards, and enhance the overall competitiveness of the industry. BRIEF DESCRIPTION OF THE DRAWINGS

[0073] Figure 1 It is a schematic diagram of the present invention. DETAILED DESCRIPTION

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

[0075] like Figure 1 As shown, the present invention provides a dust removal equipment temperature imaging detection system 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 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; as a preferred embodiment, the infrared thermal imager module uses a high-resolution (1280×1024 pixels or higher) and high-sensitivity infrared thermal imager, and its temperature resolution can reach 0.05℃ or higher, and the temperature measurement range can be determined according to the actual operating temperature range of the dust removal equipment, such as -20℃ to 500℃; further preferred, the infrared thermal imager module has a variety of interchangeable lenses, such as macro lenses and wide-angle lenses, etc. The macro lens is used to detect the temperature of key components of the dust removal equipment at close range, and the wide-angle lens is used to obtain the overall temperature distribution image of the dust removal equipment. The infrared thermal imager module has both automatic focus and manual focus functions to adapt to different detection distances and equipment parts. The infrared thermal imager module is equipped with a high-performance image processing chip, with automatic gain control and noise suppression functions, which can process the collected infrared thermal radiation signals in real time to improve image quality and temperature measurement accuracy.

[0077] 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; as a preferred embodiment, the dust concentration sensor module adopts 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 change requirements in the actual operation of the equipment, such as 0-1000mg / m 3 or wider range. The dust concentration sensor has good anti-interference ability and can work stably in harsh environments such as high dust 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 respectively connected to the infrared thermal imager module, the dust concentration sensor module and the data processing and control module, and is used to receive the temperature signal emitted by the infrared thermal imager module and the current dust concentration signal emitted by the dust concentration sensor module, and send them to the data processing and control module; as a preferred embodiment, the data transmission module uses methods such as cyclic redundancy check (CRC) to perform data verification during the data transmission process, so as to ensure the integrity and accuracy of the data. If a data transmission error is found, it will automatically retransmit, 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 is used to obtain original temperature data and current dust concentration data according to the received temperature signal and the current dust concentration signal, and then send the original temperature data and the current dust concentration data to the data preprocessing unit; the data preprocessing unit is used to preprocess the original temperature data and the current dust concentration data, and send the preprocessed original temperature data and the current dust concentration data to the dust compensation unit, wherein the preprocessing includes filtering, denoising, normalization and other processing on the data; the dust compensation unit is used to obtain a temperature compensation value based on the original temperature data and the current dust concentration data, And based on the temperature compensation value, compensated temperature data is obtained, and then the compensated temperature data is sent 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 dust concentration and temperature measurement error relationship model; the temperature imaging generation unit is used to compare the compensated temperature data with multiple preset temperature ranges, and generate a visual multi-color temperature imaging image based on the comparison result, 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, and at the same time, is used to adjust the operating parameters of the dust removal equipment according to the compensated temperature data, so as to optimize the operating state of the dust removal equipment;

[0080] The display and alarm module is used to display a visualized multi-color temperature imaging image in real time; as a preferred embodiment, the display and alarm module includes a display submodule and an alarm submodule, the display submodule is used to display data, information and images in real time, and the alarm submodule is used to perform an alarm action; as a preferred embodiment, the display submodule adopts a high-definition display screen, such as a liquid crystal display (LCD) or an organic light-emitting diode display (OLED), and the size is determined according to actual use requirements, such as 17 inches, 21 inches, etc. The display submodule can display temperature imaging images, temperature data curves, dust concentration data and other information in real time, and the display interface should be simple and intuitive for operators to view.

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

[0082] As a preferred embodiment, the dust compensation-based dust removal equipment temperature imaging detection system can be regularly maintained and managed, including checking whether the lens of the infrared thermal imager module is clean, whether the dust concentration sensor module can work normally, and whether the connection joints of each communication cable are loose. When dust adheres to the lens of the infrared thermal imager module, it should be cleaned in time to ensure normal heat dissipation and prevent damage due to overheating.

[0083] As a preference, a storage module is also included, and the storage module is connected to the data processing and control module for storing data. Further 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) to store data. The data stored in the storage module includes historical temperature data, dust concentration data, temperature imaging images, etc. The storage time can be set according to user needs, such as 1 month, 3 months or longer, to facilitate subsequent data analysis and fault tracing. In this way, by storing data regularly, data loss can be effectively prevented.

[0084] In order to facilitate real-time communication with external terminal equipment, a communication module is also included, which 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 preference, the data processing and control module is an industrial computer, and of course a dedicated data processing chip can also be used, which has powerful data processing capabilities and fast data storage capabilities.

[0086] As a preferred method, the dust concentration and temperature measurement error relationship model can be established in the following way: In order to effectively analyze the collected experimental data, it is necessary to select a suitable mathematical model to describe the relationship between dust concentration and temperature measurement error. Common mathematical models include polynomial regression model, neural network model, etc. Preferably, a polynomial regression model is used, assuming that the relationship between temperature measurement error ΔT and dust concentration C is ΔT = aC 2 +bC+d, where a, b, and d are the coefficients to be determined. Then, the coefficients are calculated based on the experimental data using methods such as the least squares method. i ,ΔT i ), i=1,2,…,n, substitute into the above equation and construct the error square sum function By using mathematical methods such as derivation to calculate the values ​​of a, b, and d that minimize S, the specific dust concentration and temperature measurement error relationship model can be accurately determined. By setting the dust concentration and temperature measurement error relationship model, the influence of dust concentration on the accurate measurement of temperature data can be effectively corrected, thereby significantly improving the accuracy of temperature measurement. The temperature measurement error can be reduced to a smaller range through an accurate model. For example, in a high dust concentration environment, the error can be controlled within ±1°C, which greatly improves the accuracy compared to the existing technology. In addition, the dust concentration and temperature measurement error relationship model can be optimized and adjusted according to different dust removal equipment types and working conditions, and has strong adaptability. Whether in cement plants and steel plants with high dust concentrations, or in thermal power industries with large temperature changes, temperature monitoring and compensation can be accurately performed, and it is widely used in dust removal equipment in various industrial fields.

[0087] As a further preference, the temperature data and dust concentration data of the dust removal equipment during actual operation can be regularly collected and analyzed to evaluate the accuracy and adaptability of the dust concentration and temperature measurement error relationship model. At the same time, the parameters of the dust concentration and temperature measurement error relationship model can be optimized and updated. For example, when the error of the dust concentration and temperature measurement error relationship model is large under the current working conditions, the coefficients can be recalibrated by experiment to improve the adaptability and accuracy of the model under the current working conditions by adjusting the parameters of the dust concentration and temperature measurement error relationship model.

[0088] By using the dust compensation-based dust removal equipment temperature imaging detection system of the present invention, the overall temperature distribution image of the dust removal equipment can be obtained in real time in a non-contact manner through the infrared thermal imager module. For example, the five thermal imagers installed in the cement plant electrostatic precipitator and the four thermal imagers installed in the steel plant bag filter cover the key parts of their respective equipment, including the air inlet, air outlet, electric field plate, insulator, bag chamber, ash hopper, inlet and outlet pipes, etc. of the dust removal equipment. The operator can quickly locate the abnormal temperature area through the temperature imaging image intuitively displayed on the display and alarm module. During the operation of the cement plant electrostatic precipitator, the abnormal increase in the insulator temperature was discovered in time; during the operation of the steel plant bag filter, the problem of excessively high local temperature in the bag chamber was discovered in time, which effectively avoided local overheating and caused equipment damage, and ensured the safe and stable operation of the equipment.

[0089] In the present invention, by setting up the infrared thermal imager module, the temperature signal of the key part of the dust removal equipment can be obtained in real time in a non-contact manner. At the same time, by setting up the dust concentration sensor module outside the dust removal equipment, it is convenient to measure the dust concentration data in the environment in real time. By connecting the infrared thermal imager module, the dust concentration sensor module and the data processing and control module using the data transmission module, it is convenient for the data processing and control module to synchronously obtain the temperature signal and the current dust concentration signal, and the data transmission module can process the timing of the received signal to ensure the synchronization of the timing of the two signals, thereby ensuring the accuracy of the subsequent calculation results. In the data processing and control module, an acquisition unit, a data preprocessing unit, and a dust compensation unit are respectively set up, which can facilitate the use of the data acquisition unit to obtain temperature data and current dust concentration data based on the temperature signal and the current dust concentration signal. At the same time, it can facilitate the use of the data preprocessing unit to preprocess the temperature data and the current dust concentration data, so as to effectively remove interference components, thereby ensuring the accuracy of the subsequent calculation results. Further, it is convenient to use the dust compensation unit to calculate the temperature compensation data based on the current dust concentration data. Through the calculation of the temperature compensation data, the weakening effect of the dust in the environment on the infrared radiation signal during the non-contact measurement process can be effectively compensated, so that the real actual temperature data can be obtained. A temperature imaging generation unit and an alarm and control unit are also set in the data processing and control module. It is convenient to use the temperature imaging generation unit to compare the compensated temperature data with the preset multiple temperature ranges, and generate a multi-color temperature imaging image according to the colors corresponding to different temperature ranges. In this way, the overall temperature distribution image of the dust removal equipment can be obtained in real time, and the temperature conditions of various parts of the dust removal equipment can be intuitively displayed, which helps the management personnel to intuitively and comprehensively understand the operating status of the dust removal equipment. In this way, the relevant management personnel can quickly locate the area with abnormal temperature, and can timely discover potential fault hazards, which can effectively avoid the occurrence of equipment damage caused by local overheating. At the same time, the alarm and control unit can compare the compensated temperature data with the set temperature threshold, and control the display and alarm module to make an audible and visual alarm based on the comparison results, so that the relevant management personnel can be reminded in time and effectively when an abnormal situation occurs.

[0090] The system has automatic data collection, processing, compensation, alarm and control functions, realizes intelligent monitoring and control of the temperature of dust removal equipment, meets the high-precision temperature monitoring needs of dust removal equipment, and at the same time, helps to automatically adjust the operating parameters of dust removal equipment according to 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 reducing operating costs.

[0091] The present invention also provides a dust removal equipment temperature imaging detection method based on dust compensation, using a dust removal equipment temperature imaging detection system based on dust compensation, comprising the following steps:

[0092] Step 1: Install an 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 a 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 between 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 removal equipment temperature imaging detection system based on dust compensation; 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;

[0093] As a preferred embodiment, the key parts of the dust removal equipment are the negative pressure fan of the dust removal equipment, the motor of the dust removal equipment, the dust collection box of the dust removal equipment, the inlet and outlet pipelines of the dust removal equipment, etc.;

[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 temperature imaging detection system of the dust removal equipment based on dust compensation; as a preferred method, the parameters of the temperature imaging detection system of the dust removal equipment based on dust compensation can be adjusted by comparing the test with the standard equipment or the known temperature source, so as to ensure the reliable and stable operation of the temperature imaging detection system of the dust removal equipment based on dust compensation;

[0095] Step 3: Use the infrared thermal imager module to collect the temperature signal of the key parts 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 the current dust concentration signal to keep the temperature signal and the current dust concentration signal in time sequence synchronization, and then sends the time sequence processed temperature signal and the current dust concentration signal to the data processing and control module;

[0096] Step 4: The data acquisition unit obtains original temperature data and current dust concentration data according to the received temperature signal and current dust concentration signal, and then sends the original temperature data and current dust concentration data to the data preprocessing unit; the data preprocessing unit preprocesses the original temperature data and current dust concentration data, and sends the preprocessed original temperature data and 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 , then the temperature measurement error ΔT 实时 According to formula (2), the compensated temperature data T is obtained. 修正 Then, the compensated temperature data T 修正 Send 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 is the current dust concentration data; a, b, d are correction coefficients respectively; T 原始 is the original temperature data;

[0101] Step 6: The temperature imaging generation unit generates the compensated temperature data T 修正 Compare with the preset multiple temperature ranges, when the compensated temperature data T 修正 Within a temperature range, the compensated temperature data T 修正 Converting into a multi-color temperature imaging image with colors corresponding to the temperature range, thereby forming visualized temperature imaging image data, and then sending the visualized temperature imaging image data to the display and alarm module, wherein the multiple temperature ranges are continuously distributed step by step from small to large, and correspond to different colors respectively;

[0102] Specifically, the temperature imaging generation unit generates a temperature imaging image using the compensated temperature data, and intuitively reflects the temperature distribution of different regions by adjusting the color mapping or grayscale value of the image.

[0103] At the same time, the alarm and control unit compares the compensated temperature data with the set temperature threshold, and sends a warning signal to the display and alarm module when the compensated temperature data exceeds the set temperature threshold. 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;

[0104] Step 7: After receiving the visualized temperature imaging image data, the display and alarm module performs real-time display of the visualized temperature imaging image, and at the same time, performs sound and light alarm actions after receiving the alarm signal.

[0105] As a preferred embodiment, formula (1) and formula (2) can be integrated in the dust compensation unit as a preset dust concentration and temperature measurement error relationship model, which can facilitate the accurate calculation of the compensated temperature data quickly and efficiently. The dust concentration and temperature measurement error relationship model has good application effects in many industries. The dust concentration and temperature measurement error relationship model can be optimized and adjusted according to different dust removal equipment types and working conditions. Whether it is a large processing air volume (50000~100000m 3 / h), medium dust concentration (100~500mg / m 3 ), medium and low temperature (50-150℃) working conditions, or large processing air volume (80000-120000m 3 / h), high dust concentration (200~800mg / m 3 ) and high temperature (80-200℃) working conditions, the dust concentration and temperature measurement error relationship model can accurately monitor and compensate for temperature. Therefore, this method can be widely used in dust removal equipment in various industrial fields, such as thermal power industry, flour mills, coal mines, etc. It can play an effective role in dust removal equipment in different industries and has strong versatility and adaptability;

[0106] As a preferred embodiment, in step 5, the calculation process of a, b, and d is as follows:

[0107] S51: construct an error square sum function S according to formula (3);

[0108]

[0109] S52: Order but Based on the derivative rule of composite function (u 2 )′=2u·u′ calculate the partial derivatives of S with respect to a, b, and d respectively;

[0110] S52-1: First, find the partial derivative of a to obtain formula (4), then let We get formula (5);

[0111]

[0112] S52-2: First, find the partial derivative of b to obtain formula (6), then let We get formula (7);

[0113]

[0114] S52-3: First, we obtain the partial derivative of d to obtain formula (8), and then let We get formula (9);

[0115]

[0116] S53: Combining formula (5), formula (7) and formula (9) to obtain equation group (10);

[0117]

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

[0119] In order to be able to view the temperature imaging image, temperature data curve, dust concentration data, equipment operating status and other information on the display and alarm module at the same time, in step five, the dust compensation unit also sends the current dust concentration data to the alarm and control unit respectively. 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, and then 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] In order to promptly remind the relevant maintenance personnel so that they can take effective countermeasures in time when the dust removal equipment is abnormal, in step 6, 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. Preferably, the alarm message can be in the form of a text message, or in the form of an email or the like.

[0121] As a preferred embodiment, in S54, when Cramer's law is used for solving, the solving process is as follows:

[0122] A1: Convert equation group (10) into matrix form AX=B, and then convert 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, and then the adjoint matrix adj(A) is calculated according to the formula Specific processes are as A3, A4 and A5;

[0127] A3: Calculate a according to formula (13). In the process of calculating the determinant, the calculation is performed 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 the determinant, the calculation is performed according to the expansion rule of the third-order determinant, as shown in formula (16);

[0130]

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

[0132]

[0133] As a preferred embodiment, in S54, when the Gaussian elimination method is used for solving, the solving process is as follows:

[0134] B1: Write equation group (10) into an augmented matrix form, as shown in formula (18);

[0135]

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

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

[0138] B2-2: Subtract the first row from the second row and multiply by Make A 21 is 0;

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

[0140]

[0141] B3: Continue to transform the row so that A 22 is 1, and A 32 The matrix is ​​finally transformed into an upper triangular matrix, as shown in formula (20), and then the values ​​of a, b, and d are solved by back substitution;

[0142]

[0143] During the implementation of temperature monitoring of electrostatic precipitator in cement plant, the dust concentration during equipment operation is between 100 and 500 mg / m 3 Before the dust removal equipment temperature imaging detection method based on dust compensation in the present invention is used, the temperature measurement error is ±3°C. After the dust compensation calculation, the error is reduced to ±0.8°C. In the temperature monitoring embodiment of the bag filter in the steel plant, the dust concentration is between 200 and 800 mg / m 3 Before compensation, the temperature measurement error was relatively large, but after compensation, the measurement accuracy was effectively improved. The specific error data was also significantly reduced according to the actual operating conditions (such as from ±5°C to ±1.2°C and other similar situations, which can be further refined according to actual simulation or test data). This shows that the dust compensation algorithm in the temperature imaging detection method of dust removal equipment based on dust compensation can effectively correct the influence of dust on temperature measurement, and can control the temperature measurement error within a small range under different dust concentration conditions, which greatly improves the accuracy compared to the existing technology. In a high dust concentration environment, the error of the existing technology may reach several degrees Celsius, while the present invention can control the error within ±1°C, greatly improving the accuracy of temperature measurement.

[0144] The present invention provides a detection method for temperature imaging of dust removal equipment that can effectively compensate for the influence of dust on temperature measurement. The infrared thermal imager module is used to monitor the temperature of the dust removal equipment in a non-contact manner, which can ensure that the monitoring range can effectively cover multiple key parts of the dust removal equipment, so that the temperature data of multiple key parts can be collected at the same time. While collecting the temperature signal, the dust concentration sensor module is used to collect the dust concentration signal in the environment in real time, which can facilitate the use of the dust concentration signal in the environment to compensate for the measured temperature data. After the data transmission module receives the temperature signal and the current dust concentration signal, the two are first time-series processed and then sent to the data processing and control module, which can effectively ensure that the temperature signal and the current dust concentration signal can be completely synchronized in time, and thus more accurate calculation results can be obtained in the temperature compensation process. 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. The multi-color temperature imaging image is then displayed in real time through the display and alarm module. In this way, the overall temperature of the dust removal equipment can be intuitively displayed through the multi-color temperature imaging image, which can facilitate the operator to intuitively judge the temperature of each part of the dust removal equipment based on the multi-color temperature imaging image, and is conducive to timely discovery and positioning of abnormal areas, and can also timely discover potential equipment failure hazards, so that effective countermeasures can be taken in advance, which can effectively avoid equipment damage caused by local overheating. Comparing the compensated temperature data with the set temperature threshold, and controlling the display and alarm module to perform an alarm action after an abnormality, can effectively remind relevant personnel to take timely countermeasures when an abnormality occurs.

[0145] The implementation process of the method is simple and the implementation cost is low. It aims at a series of problems such as the complex operating environment of the dust removal equipment, the high demand for temperature monitoring accuracy and the limitations of the existing temperature detection technology. The innovative technical solution of temperature compensation effectively compensates for the weakening effect of the dust in the environment on the infrared radiation signal during the non-contact measurement process, thereby obtaining real actual temperature data and greatly improving the accuracy of temperature detection. At the same time, combined with multi-color temperature imaging images, it is convenient for operators to know the temperature conditions of various parts of the dust removal equipment, and realize accurate monitoring of the temperature of the dust removal equipment and fault warning. At the same time, it can ensure the safe and stable operation of the dust removal equipment through closed-loop control, achieve significant economic and social benefits, and provide strong technical support for the safe and efficient operation of the dust removal equipment.

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

[0147] 1. From the perspective of social benefits, the present invention effectively avoids the damage of dust removal equipment and safety accidents caused by abnormal temperature. For example, in flour mills, coal mines and other industries, it can effectively prevent dust explosions caused by improper temperature control, effectively protect the lives of personnel, and at the same time, reduce the probability of production interruptions caused by equipment failures, which is of great significance to 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 timely discovering and handling temperature anomalies, the cost of dust removal equipment maintenance and replacement is effectively reduced. Taking the cement plant electrostatic precipitator as an example, timely handling of insulator temperature anomalies avoids insulator breakdown, saving insulator replacement and related maintenance costs; steel plant bag filter timely replaces clogged bags, avoiding greater losses caused by fires caused by overheating of bags, while ensuring the normal operation of dust removal equipment, improving production efficiency, and increasing the economic benefits of the enterprise.

[0149] 3. The present invention provides an innovative solution for the field of temperature monitoring of dust removal equipment, filling the gap in the existing technology in dust compensation. Through high-precision temperature measurement, comprehensive temperature distribution monitoring and intelligent control functions, it can provide reference and reference for the improvement of monitoring technology of other similar equipment in the industry, help promote the development of the entire dust removal equipment industry in a more efficient, safer and more intelligent direction, and promote the improvement and improvement of relevant technical standards, and enhance the overall competitiveness of the industry.

Claims

1. A dust removal equipment temperature imaging detection system based on dust compensation, comprising 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; characterized in that ； The infrared thermal imager module is installed on one side of the dust removal device, and is used to collect the temperature signal of the surface of the dust removal device in real time in a non-contact manner and send it to the data transmission module; The dust concentration sensor module is installed outside 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 to the infrared thermal imager module, the dust concentration sensor module and the data processing and control module respectively, and 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; 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 device respectively; the data acquisition unit is used to obtain original temperature data and current dust concentration data according to the received temperature signal and the current dust concentration signal, and then send the original temperature data and the current dust concentration data to the data preprocessing unit; the data preprocessing unit is used to preprocess the original temperature data and the current dust concentration data, and send the preprocessed original temperature data and the current dust concentration data to the dust compensation unit; the dust compensation unit is used to obtain a temperature compensation value based on the original temperature data and the current dust concentration data, and obtain compensated temperature data based on the temperature compensation value, and then send the compensated temperature data to the temperature imaging generation unit and the alarm and control unit respectively; The temperature imaging generation unit is used to compare the compensated temperature data with a plurality of preset temperature ranges, and generate a visualized multi-color temperature imaging image based on the comparison result, 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, and at the same time, is used to adjust the operating parameters of the dust removal equipment according to the compensated temperature data, so as to optimize the operating state of the dust removal equipment; The display and alarm module is used to display a visualized multi-color temperature imaging image in real time; The power supply module is used to supply electricity to each electrical component.

2. According to the dust compensation-based temperature imaging detection system for dust removal equipment according to claim 1, it is characterized in that: It also includes a storage module, which is connected to the data processing and control module and is used for storing data.

3. A dust removal equipment temperature imaging detection system based on dust compensation according to claim 1 or 2, characterized in that: It also includes a communication module, which 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.

4. A dust removal equipment temperature imaging detection system based on dust compensation according to claim 3, characterized in that: The data processing and control module is an industrial computer.

5. A dust removal equipment temperature imaging detection method based on dust compensation, using a dust removal equipment temperature imaging detection system based on dust compensation as described in any one of claims 1 to 4, characterized in that: The following steps are involved: Step 1: Install an 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 a 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 between 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 removal equipment temperature imaging detection system based on dust compensation; 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 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 removal equipment temperature imaging detection system based on dust compensation; Step 3: Use the infrared thermal imager module to collect the temperature signals of the key parts of the dust removal equipment in real time, and send them 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 timing processing on the received temperature signal and the current dust concentration signal to keep the temperature signal and the current dust concentration signal in synchronization with each other, and then sends the time-processed temperature signal and the current dust concentration signal to the data processing and control module; Step 4: The data acquisition unit obtains original temperature data and current dust concentration data according to the received temperature signal and current dust concentration signal, and then sends the original temperature data and current dust concentration data to the data preprocessing unit; The data preprocessing unit preprocesses the original temperature data and the current dust concentration data, and sends the preprocessed original temperature data and the current dust concentration data to the dust compensation unit; 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 , then the temperature measurement error ΔT 实时 According to formula (2), the compensated temperature data T is obtained. 修正 Then, the compensated temperature data T 修正 Send to the temperature imaging generation unit and the alarm and control unit respectively; T 修正 =T 原始 +ΔT 实时 (2); In the formula, C 实时 is the current dust concentration data; a, b, d are correction coefficients respectively; T 原始 is the original temperature data; Step 6: The temperature imaging generation unit generates the compensated temperature data T 修正 Compare with the preset multiple temperature ranges, when the compensated temperature data T 修正 Within a temperature range, the compensated temperature data T 修正 Converting into a multi-color temperature imaging image with colors corresponding to the temperature range, thereby forming visualized temperature imaging image data, and then sending the visualized temperature imaging image data to the display and alarm module, wherein the multiple temperature ranges are continuously distributed step by step 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 a warning signal to the display and alarm module when the compensated temperature data exceeds the set temperature threshold. 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 7: After receiving the visualized temperature imaging image data, the display and alarm module performs real-time display of the visualized temperature imaging image, and at the same time, performs sound and light alarm actions after receiving the alarm signal.

6. A dust removal equipment temperature imaging detection method based on dust compensation according to claim 5, characterized in that: In step 5, the calculation process of a, b, and d is as follows: S51: construct an error square sum function S according to formula (3); S52: Order but Find the partial derivatives of S with respect to a, b, and d respectively; S52-1: First, find the partial derivative of a to obtain formula (4), then let We get formula (5); S52-2: First, find the partial derivative of b to obtain formula (6), then let We get formula (7); S52-3: First, we obtain the partial derivative of d to obtain formula (8), and then let We get formula (9); S53: Combining formula (5), formula (7) and formula (9) to obtain equation group (10); S54: Use Cramer's rule or Gaussian elimination method in linear algebra to solve and obtain the values ​​of a, b, and d respectively.

7. The method for temperature imaging detection of dust removal equipment based on dust compensation according to claim 5 is characterized in that: In step five, the dust compensation unit also sends the current dust concentration data to the alarm and control unit respectively. 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, and then 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.

8. The method for temperature imaging detection of dust removal equipment based on dust compensation according to claim 7 is characterized in that: 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.

9. The method for temperature imaging detection of dust removal equipment based on dust compensation according to claim 6, characterized in that: In S54, when Cramer's law is used for solution, the solution process is as follows: A1: Convert equation group (10) into matrix form AX=B, and then convert AX=B to obtain formula (11), X=A -1 B(11); In the formula, A2: Obtain the determinant |A| of matrix A according to formula (12); A3: Calculate a according to formula (13). In the process of calculating the determinant, the calculation is performed according to the expansion rule of the third-order determinant, as shown in formula (14); A4: Calculate b according to formula (15). In the process of calculating the determinant, the calculation is performed according to the expansion rule of the third-order determinant, as shown in formula (16); A5: Calculate d according to formula (17). In the process of calculating the determinant, the calculation is performed according to the expansion rule of the third-order determinant, as shown in formula (18); 10. The method for temperature imaging detection of dust removal equipment based on dust compensation according to claim 6, characterized in that: In S54, when the Gaussian elimination method is used for solving, the solving process is as follows: B1: Write equation group (10) into an augmented matrix form, as shown in formula (18); B2: Perform the following row transformation operations: B2-1: Make the first row and first column element A 11 is 1, and divide the first row by in, B2-2: Subtract the first row from the second row and multiply by Make A 21 is 0; B2-3: Subtract the first row from the third row and multiply by Make A 31 is 0, and we get formula (19); B3: Continue to transform the row so that A′ 22 is 1, and A 32 The matrix is ​​finally transformed into an upper triangular matrix, as shown in formula (20), and then the values ​​of a, b, and d are solved by back substitution;

Images