A dust explosion prevention monitoring method and device for leaf shred drying process

Abstract

The present application belongs to the technical field of dust monitoring, and discloses a dust explosion prevention monitoring method and device for a leaf shred drying process. The temperature at different positions of the dust collector is collected in real time by a temperature sensor. When it is determined that the real-time temperature is lower than a preset temperature threshold, a fusion code set is calculated in combination with the pressure difference value collected in real time by the pressure difference sensor, so as to effectively fuse different types of sensor data, and obtain an explosion prevention warning value based on the fusion code set and the material height in the ash hopper obtained by the paddle-type material level meter, so as to achieve the joint prediction of a higher-precision warning value by using a variety of measured data in the dust collector, and the whole process does not require too much manpower, which not only greatly guarantees the warning efficiency, but also effectively avoids safety hazards.

Description

Technical Field

[0001] The present application belongs to the field of dust monitoring technology, and in particular relates to a dust explosion prevention monitoring method and device for a leaf shred drying process. Background Art

[0002] With the development of the tobacco industry and the improvement of national safety production requirements, the hidden danger of dust explosion in tobacco processing is a potential risk in tobacco production. Especially in the process of drying silk thread and leaf silk, the dust output is large and dry, flammable and explosive. How to eliminate hidden dangers and avoid harm is a problem that tobacco companies need to solve.

[0003] At present, the dust explosion prevention monitoring method for the silk thread and leaf drying process is mainly based on manual judgment based on the temperature or pressure values ​​collected by the sensor. This not only requires excessive manpower, but also has poor accuracy and is prone to safety hazards. Summary of the Invention

[0004] This application aims to solve the above-mentioned problem that the current dust explosion prevention monitoring method for the silk thread drying process is mainly based on manual judgment of the temperature value or pressure value collected by the sensor, which not only requires excessive manpower, but also has poor accuracy and easily leads to safety hazards. Technical defects such as this, a dust explosion prevention monitoring method and device for the silk thread drying process are proposed. The technical solution is as follows:

[0005] In a first aspect, an embodiment of the present application provides a dust explosion prevention monitoring method for a leaf shred drying process, the method being applied to dust removal equipment, the dust removal equipment including a dust collector, an explosion-proof valve, a fire damper, a flameless explosion unloading device, a first temperature sensor, a second temperature sensor, at least two differential pressure sensors, and a paddle-type level gauge, the explosion-proof valve, the fire damper, and the first temperature sensor being arranged at the inlet of the dust collector, the flameless explosion unloading device being arranged above the dust collector, the second temperature sensor being arranged at the outlet of the dust collector, all differential pressure sensors being arranged in an array on the inner wall of the dust collector, and the paddle-type level gauge being arranged in the ash hopper of the dust collector, the method comprising:

[0006] When the dust collector is in operation, obtaining a first temperature value at a preset time interval based on the first temperature sensor, and obtaining a second temperature value at a preset time interval based on the second temperature sensor;

[0007] When it is detected that both the first temperature value and the second temperature value are lower than a preset temperature threshold, a pressure difference value matrix is ​​determined based on all the pressure difference sensors, and a fusion code set is calculated according to the first temperature value, the second temperature value and the pressure difference value matrix;

[0008] The material height in the hopper is obtained based on the paddle-rotor level meter. When the material height is detected to be lower than the preset material height, the explosion-proof warning value is obtained based on the fusion code set and the material height.

[0009] The explosion-proof valve, fire damper and flameless explosion relief device are controlled and processed respectively according to the explosion-proof warning value.

[0010] In an optional solution of the first aspect, after obtaining the first temperature value at a preset time interval based on the first temperature sensor and obtaining the second temperature value at a preset time interval based on the second temperature sensor, the method further includes:

[0011] When it is detected that the first temperature value exceeds a preset temperature threshold, the explosion-proof valve and the fire damper are controlled to be in a blocking state, and the flameless explosion relief device is controlled to be in an operating state; or

[0012] When it is detected that the second temperature value exceeds a preset temperature threshold, the explosion-proof valve and the fire damper are controlled to be in a blocking state, and the flameless explosion relief device is controlled to be in an operating state.

[0013] In another optional solution of the first aspect, the number of the differential pressure sensors is three;

[0014] A fusion code set is calculated according to the first temperature value, the second temperature value, and the pressure difference value matrix, including:

[0015] Calculating the mean of the first temperature value and the second temperature value, and obtaining a temperature value matrix based on the first temperature value, the mean result, and the second temperature value; wherein the arrangement of the temperature value matrix is ​​consistent with the arrangement of the pressure difference value matrix;

[0016] Converting the temperature value matrix based on a preset temperature-color mapping list and generating a temperature value image based on the processed temperature value matrix; wherein the preset temperature-color mapping list includes at least two groups of temperature intervals and colors corresponding to each group of temperature intervals;

[0017] The pressure difference value matrix is ​​converted based on a preset pressure difference-color mapping list, and a pressure difference value image is generated based on the processed pressure difference value matrix; wherein the preset pressure difference-color mapping list includes at least two groups of pressure difference intervals and colors corresponding to each group of pressure difference intervals;

[0018] A fusion code set is calculated based on the temperature value image, the pressure difference value image and the random fusion code.

[0019] In yet another optional solution of the first aspect, calculating a fusion code set based on the temperature value image, the pressure difference value image, and the random fusion code includes:

[0020] Splicing the random fusion code and the code corresponding to the temperature value image to obtain a first spliced ​​code;

[0021] Perform fusion attention calculation on the first concatenated code to obtain the first attention code;

[0022] Splicing the first attention code and the code corresponding to the pressure difference value image to obtain a second spliced ​​code;

[0023] Perform fusion attention calculation on the second concatenated code to obtain the second attention code;

[0024] Perform multi-layer perceptron calculation on the second attention code, and determine the first fusion code based on the calculation result;

[0025] A multi-layer perceptron calculation is performed on the first attention code, and a second fusion code is determined according to the calculation result, so that the first fusion code and the second fusion code are used as a fusion code set.

[0026] In another optional solution of the first aspect, obtaining an explosion-proof warning value according to the fused code set and the material height includes:

[0027] Classify the first fusion code and the second fusion code based on the fully connected layer, and perform weighted summation on the classification results according to a preset weight value to obtain a fusion value;

[0028] The fusion value and material height are input into a preset deep learning model to obtain an explosion-proof warning value; wherein, the preset deep learning model is trained by at least two sample fusion values ​​and the sample material height and standard explosion-proof warning value corresponding to each sample fusion value.

[0029] In another optional solution of the first aspect, the explosion-proof valve, the fire damper, and the flameless explosion relief device are controlled and processed respectively according to the explosion-proof warning value, including:

[0030] When it is detected that the explosion-proof warning value is lower than the preset warning value range, the explosion-proof valve and the fire damper are controlled to be in the conduction state, and the flameless explosion relief device is controlled to be in the standby state;

[0031] When it is detected that the explosion-proof warning value is in the preset warning value range, the explosion-proof valve and the fire damper are controlled to be in the blocking state, and the flameless explosion relief device is controlled to be in the operating state.

[0032] In another optional solution of the first aspect, the dust removal equipment further includes a third temperature sensor disposed in the ash hopper, and the method further includes:

[0033] The third temperature sensor obtains a third temperature value at a preset time interval. When it is detected that the third temperature value exceeds a preset temperature threshold, the explosion-proof valve and the fire damper are controlled to be in a blocked state, and the flameless explosion relief device is controlled to be in an operating state.

[0034] In a second aspect, an embodiment of the present application provides a dust explosion-proof monitoring device for a leaf shred drying process, the device being applied to a dust removal device, the dust removal device including a dust collector, an explosion-proof valve, a fire damper, a flameless explosion-removing device, a first temperature sensor, a second temperature sensor, at least two differential pressure sensors, and a paddle-type level gauge. The explosion-proof valve, the fire damper, and the first temperature sensor are arranged at the inlet of the dust collector, the flameless explosion-removing device is arranged above the dust collector, the second temperature sensor is arranged at the outlet of the dust collector, all the differential pressure sensors are arranged in an array on the inner wall of the dust collector, and the paddle-type level gauge is arranged in the ash hopper of the dust collector. The device includes:

[0035] a first processing module, configured to obtain a first temperature value at a preset time interval based on a first temperature sensor and a second temperature value at a preset time interval based on a second temperature sensor when the dust collector is in operation;

[0036] a second processing module, configured to, when detecting that both the first temperature value and the second temperature value are lower than a preset temperature threshold, determine a pressure difference value matrix based on all the pressure difference sensors, and calculate a fusion code set based on the first temperature value, the second temperature value, and the pressure difference value matrix;

[0037] The third processing module is used to obtain the material height in the ash hopper based on the paddle-type material level meter, and when the material height is detected to be lower than the preset material height, obtain the explosion-proof warning value according to the fusion code set and the material height;

[0038] The fourth processing module is used to control the explosion-proof valve, fire damper and flameless explosion relief device respectively according to the explosion-proof warning value.

[0039] In a third aspect, an embodiment of the present application further provides a dust explosion prevention monitoring device for a leaf shred drying process, comprising a processor and a memory;

[0040] The processor is connected to the memory;

[0041] a memory for storing executable program code;

[0042] The processor runs the program corresponding to the executable program code by reading the executable program code stored in the memory, so as to implement the dust explosion prevention monitoring method for the leaf drying process provided by the first aspect of the embodiment of the present application or any one of the implementation methods of the first aspect.

[0043] In a fourth aspect, an embodiment of the present application provides a computer storage medium, which stores a computer program. The computer program includes program instructions. When the program instructions are executed by a processor, the dust explosion prevention monitoring method for the leaf drying process provided by the first aspect of the embodiment of the present application or any one of the implementation methods of the first aspect can be implemented.

[0044] In an embodiment of the present application, when dust explosion prevention monitoring is performed on the leaf shred drying process, when the dust collector is in operation, a first temperature value is obtained at a preset time interval based on the first temperature sensor, and a second temperature value is obtained at a preset time interval based on the second temperature sensor; when it is detected that the first temperature value and the second temperature value are both lower than the preset temperature threshold, a pressure difference value matrix is ​​determined based on all pressure difference sensors, and a fusion code set is calculated based on the first temperature value, the second temperature value and the pressure difference value matrix; the material height in the ash hopper is obtained based on the rotary paddle level meter, and when it is detected that the material height is lower than the preset material height, an explosion prevention warning value is obtained based on the fusion code set and the material height; and the explosion isolation valve, fire damper and flameless explosion unloading device are controlled and processed respectively according to the explosion prevention warning value. The temperature at different positions of the dust collector is collected in real time through the temperature sensor. When it is determined that the real-time temperature is lower than the preset temperature threshold, the fusion code set is calculated in combination with the pressure difference value collected in real time by the pressure difference sensor to effectively fuse the different types of sensor data. The explosion-proof warning value is obtained based on the fusion code set and the material height in the ash hopper obtained by the paddle-type level meter, so as to achieve the joint prediction of a more accurate warning value using multiple measured data in the dust collector. The whole process does not require too much manpower, which not only greatly ensures the warning efficiency, but also effectively avoids safety hazards. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following briefly introduces the drawings required for use in the embodiments. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0046] Figure 1 This is an overall flow chart of a dust explosion prevention monitoring method for a leaf shred drying process provided in an embodiment of the present application;

[0047] Figure 2 A schematic structural diagram of a dust removal device provided in an embodiment of the present application;

[0048] Figure 3 A schematic diagram of the structure of a dust explosion-proof monitoring device for a leaf shred drying process provided in an embodiment of the present application;

[0049] Figure 4 A schematic structural diagram of another dust explosion-proof monitoring device for a leaf shred drying process provided in an embodiment of the present application. DETAILED DESCRIPTION

[0050] The technical solutions in the embodiments of the present application will be described clearly and completely below in conjunction with the drawings in the embodiments of the present application.

[0051] In the following introduction, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance. The following introduction provides multiple embodiments of the present application. Different embodiments can be replaced or combined, so the present application can also be considered to include all possible combinations of the same and / or different embodiments described. Therefore, if one embodiment includes features A, B, and C, and another embodiment includes features B and D, then the present application should also be considered to include embodiments containing one or more of all other possible combinations of A, B, C, and D, even though the embodiment may not be clearly described in the following text.

[0052] The following description provides examples and does not limit the scope, applicability, or examples set forth in the claims. Changes may be made to the function and arrangement of the elements described without departing from the scope of the present application. Various examples may appropriately omit, replace, or add various processes or components. For example, the described method may be performed in an order different from the order described, and various steps may be added, omitted, or combined. In addition, features described in some examples may be combined in other examples.

[0053] See also Figure 1 , Figure 1 The figure shows an overall flow chart of a dust explosion prevention monitoring method for a leaf shred drying process provided in an embodiment of the present application.

[0054] like Figure 1 As shown, the dust explosion prevention monitoring method for the leaf shred drying process may include at least the following steps:

[0055] Step 102: When the dust collector is in operation, a first temperature value is obtained at a preset time interval based on a first temperature sensor, and a second temperature value is obtained at a preset time interval based on a second temperature sensor.

[0056] In an embodiment of the present application, the dust explosion prevention monitoring method for the leaf shred drying process can be, but is not limited to, applied to a control terminal. The control terminal can establish a connection with the dust removal equipment of the leaf shred drying process to perform dust explosion prevention monitoring on the leaf shred drying process in real time based on the various sensor data collected by the dust removal equipment. The dust removal equipment may include at least a dust collector, an explosion-proof valve, a fire damper, a flameless explosion unloading device, a first temperature sensor, a second temperature sensor, at least two differential pressure sensors, and a rotary level gauge. The dust collector is mainly used to collect and remove dust and exhaust gas generated in the leaf shred drying process to ensure the cleanliness of the environment in the workshop where the leaf shred drying process is located. The connection position and equipment type in the leaf shred drying process are well known to those skilled in the art and will not be elaborated on here. The explosion-proof valve and the fire damper can be set at the inlet of the dust collector. The explosion-proof valve and the fire damper Both can be connected to the control terminal. When the control terminal detects the existence of a dust explosion hazard, a control signal can be sent to the explosion-proof valve and the fire damper to put the explosion-proof valve and the fire damper in a blocked state, that is, to effectively prevent the propagation and diffusion of the explosion wave and the flame; the first temperature sensor can also be arranged at the inlet of the dust collector to collect the dust temperature corresponding to the inlet of the dust collector in real time according to the instruction of the control terminal, and feed back the dust temperature to the control terminal; the flameless explosion unloading device can be arranged above the dust collector, and the flameless explosion unloading device can be a work well known in the art The sequence device is connected to the control terminal and can send a control signal to the flameless explosion unloading device when the control terminal detects the existence of a dust explosion hazard, so that the flameless explosion unloading device is in operation, that is, the pressure in the dust collector is released, and the damage and safety hazards caused by the dust explosion are quickly intercepted; the second temperature sensor can be set at the outlet of the dust collector to collect the dust temperature corresponding to the outlet of the dust collector in real time according to the instruction of the control terminal, and feed the dust temperature back to the control terminal; all pressure difference sensors can be arranged in an array on the inner wall of the dust collector, for example However, it is not limited to the case where the number of all pressure differential sensors is three. Pressure differential sensors can be respectively provided on the inlet inner wall, middle inner wall and outlet inner wall of the dust collector (and the three pressure differential sensors can be in the same plane) to collect dust pressure from different positions inside the dust collector in real time according to the instructions of the control terminal, and all dust pressures can be fed back to the control terminal; a rotary paddle level meter can be provided in the ash hopper of the dust collector to collect the dust accumulation height in the ash hopper in real time according to the instructions of the control terminal, and the dust accumulation height can be fed back to the control terminal in the form of an electrical signal.

[0057] Of course, you can also refer to Figure 2 The structure diagram of a dust removal device provided by an embodiment of the present application is shown as follows: Figure 2As shown, the dust removal equipment may specifically include a dust collector 1, an explosion-proof valve 2, a fire damper 3, a flameless explosion relief device 4, a first temperature sensor 5, a second temperature sensor 6, at least two pressure difference sensors 7, an ash hopper 8, a diaphragm 9, a paddle-type level gauge 10, a third temperature sensor 11, an ash discharge valve 12, and a fire sprinkler ball valve 13. All of these components can be connected to the control terminal ( Figure 2 The model number in the dust collector is PLCS7-1200). Here, a third temperature sensor 11 can be set in the ash hopper 8 to collect the dust temperature in the ash hopper 8 in real time according to the instruction of the control terminal, and feed the dust temperature back to the control terminal. The ash discharge valve 12 can be set on the side wall of the ash hopper 8. When the control terminal detects that the pressure difference in the dust collector 1 is large, it can output an instruction to the ash discharge valve 12 to put the ash discharge valve 12 into a conducting state, that is, to release the dust pressure in the dust collector. The fire sprinkler ball valve 13 can be set outside the box of the dust collector 1. When the control terminal detects that there is a potential dust explosion hazard, it can send a control signal to the fire sprinkler ball valve 13 to put the fire sprinkler ball valve 13 into an operating state, that is, to spray the surface of the dust collector to quickly reduce the ambient temperature around the dust collector.

[0058] It can be understood that the control terminal can specifically collect the temperature at different positions of the dust collector in real time through the temperature sensor. When it is determined that the real-time temperature is lower than the preset temperature threshold, the fusion code set is calculated in combination with the pressure difference value collected in real time by the pressure difference sensor to effectively fuse different types of sensor data, and obtain the explosion-proof warning value based on the fusion code set and the material height in the ash hopper obtained by the rotary paddle level meter, so as to realize the use of multiple measured data in the dust collector to jointly predict a more accurate warning value, and the whole process does not require too much manpower, which not only greatly ensures the warning efficiency, but also effectively avoids safety hazards.

[0059] Specifically, when monitoring the dust explosion prevention of the leaf drying process, the control terminal can, but is not limited to, perform real-time detection of the working status of the dust collector, so that when it is detected that the dust collector is in a normal operating state, it indicates that the dust removal equipment has currently removed the dust generated by the leaf drying process, and then simultaneously sends control instructions to the first temperature sensor and the second temperature sensor, so that the first temperature sensor collects the dust temperature value (i.e., the first temperature value) at the inlet of the dust collector in real time according to a preset time interval, and also collects the dust temperature value (i.e., the second temperature value) at the outlet of the dust collector in real time according to the same time interval, and the first temperature sensor and the second temperature sensor can feed back the real-time collected temperature values ​​to the control terminal.

[0060] It is understandable that after receiving the first temperature value and the second temperature value, the control terminal can also compare the first temperature value and the second temperature value with a preset temperature threshold value, so that when it is detected that the first temperature value exceeds the preset temperature threshold value, it indicates that the current dust temperature is high and there is a dust explosion hazard. Then, the control terminal can promptly send a control signal to the explosion-proof valve and the fire damper to put the explosion-proof valve and the fire damper into a blocked state to effectively prevent the propagation and diffusion of the explosion wave and the flame. At the same time, the control terminal can also promptly send a control signal to the flameless explosion relief device to put the flameless explosion relief device into an operating state, that is, to release the pressure in the dust collector and quickly intercept the damage and safety hazards caused by the dust explosion. Here, when it is detected that the second temperature value exceeds the preset temperature threshold value, the above-mentioned execution steps can also be taken, which will not be described in detail here. After the control terminal sends control signals to the explosion-proof valve, the fire damper and the flameless explosion relief device respectively, it can also send an early warning signal to the workshop to evacuate the staff in the workshop in time to avoid further safety hazards.

[0061] Step 104: When it is detected that both the first temperature value and the second temperature value are lower than a preset temperature threshold, a pressure difference value matrix is ​​determined based on all pressure difference sensors, and a fusion code set is calculated based on the first temperature value, the second temperature value and the pressure difference value matrix.

[0062] Specifically, after receiving the first temperature value and the second temperature value, when the control terminal detects that the first temperature value and the second temperature value are both lower than the preset temperature threshold, it indicates that the current dust temperature is within a relatively normal range, and then a control signal can be sent to all the differential pressure sensors to enable each differential pressure sensor to collect dust pressure values ​​at different positions in the dust collector, and a differential pressure value matrix is ​​constructed according to all the dust pressure values ​​and the arrangement of all the differential pressure sensors. It can be understood that the arrangement of the differential pressure value matrix can be consistent with the arrangement of all the differential pressure sensors. For example, when the arrangement of all the differential pressure sensors is 1*3, the control terminal can use the dust pressure value collected by the first differential pressure sensor as the first value in the differential pressure matrix, the dust pressure value collected by the second differential pressure sensor as the second value in the differential pressure matrix, and the dust pressure value collected by the third differential pressure sensor as the third value in the differential pressure matrix, and the numbering order of each differential pressure sensor is automatically set by the control terminal or pre-set by the workshop staff.

[0063] Furthermore, after determining the pressure difference value matrix, the control terminal may use the first temperature value as the first value in the temperature value matrix (or be understood as the value of the first row and first column), and the second temperature value as the last value in the temperature value matrix (or be understood as the value of the last row and last column), and interpolate the temperature value matrix according to the arrangement of the pressure difference value matrix, the first temperature value, and the second temperature value, so that the arrangement of the temperature value matrix is ​​consistent with the arrangement of the pressure difference value matrix. Here, the arrangement of the pressure difference value matrix is ​​taken as the 1*3 mentioned above as an example. At this time, the first temperature value can be used as the first value in the temperature value matrix, and the second temperature value can be used as the third value in the temperature value matrix. It can be, but is not limited to, calculating the average of the first temperature value and the second temperature value to use the average result as the second value in the temperature value matrix, and then the temperature value matrix can be constructed by the first temperature value, the average result, and the second temperature value. It should be noted that in the embodiment of the present application, the arrangement of the temperature value matrix and the pressure difference value matrix is ​​kept consistent, which facilitates the fusion processing of temperature data and pressure difference data, and further realizes the use of multiple measured data in the dust collector to jointly predict a more accurate warning value.

[0064] Furthermore, after determining the temperature value matrix, the control terminal may also convert the temperature value matrix based on a preset temperature-color mapping list to convert the temperature value matrix into a matrix representing different colors, and may, but is not limited to, utilize a preset graphics library (such as matplotlib, PIL, or OpenCV in Python) to generate a corresponding temperature image based on the converted temperature value matrix. Here, the preset temperature-color mapping list may include at least two temperature ranges and the colors corresponding to each temperature range. For example, when the temperature range is 30-40°C, the corresponding color may be yellow, but the present invention is not limited thereto.

[0065] At the same time, after determining the temperature value matrix, the control terminal can also convert the pressure difference value matrix based on the preset pressure difference-color mapping list to convert the pressure difference value matrix into a matrix representing different colors, and can, but is not limited to, use a preset graphics library (such as matplotlib, PIL or OpenCV in Python) to generate a corresponding pressure difference image based on the converted pressure difference value matrix. Here, the preset pressure difference-color mapping list may include at least two pressure difference intervals, and the color corresponding to each pressure difference interval. For example, when the pressure difference interval is 2.0-3.0kPa, the corresponding color may be yellow, and is not limited to this. It should be noted that in the embodiment of the present application, the color types contained in the preset temperature-color mapping list and the preset pressure difference-color mapping list can remain consistent.

[0066] Furthermore, after generating the temperature image and the pressure difference image, the control terminal may also, but is not limited to, perform image encoding processing on each of the temperature image and the pressure difference image, and calculate a fusion code set in combination with random fusion coding. Here, random fusion coding can be understood as a randomly initialized fusion code, which can be, but is not limited to, generated by random numbers as additional input to efficiently obtain fusion information from different types of sensor data.

[0067] As another option of the embodiment of the present application, a fusion code set is calculated based on the temperature value image, the pressure difference value image, and the random fusion code, including:

[0068] Splicing the random fusion code and the code corresponding to the temperature value image to obtain a first spliced ​​code;

[0069] Perform fusion attention calculation on the first concatenated code to obtain the first attention code;

[0070] Splicing the first attention code and the code corresponding to the pressure difference value image to obtain a second spliced ​​code;

[0071] Perform fusion attention calculation on the second concatenated code to obtain the second attention code;

[0072] Perform multi-layer perceptron calculation on the second attention code, and determine the first fusion code based on the calculation result;

[0073] A multi-layer perceptron calculation is performed on the first attention code, and a second fusion code is determined according to the calculation result, so that the first fusion code and the second fusion code are used as a fusion code set.

[0074] Specifically, when calculating the fusion code set based on the temperature value image, the pressure difference value image and the random fusion code, the control terminal may first perform image coding processing on the temperature value image and the pressure difference image respectively to obtain the image codes corresponding to each, and then perform splicing processing on the random fusion code and the image code corresponding to the temperature value image to obtain the first splicing code. Here, the splicing processing method can be but is not limited to the set method, for example, by The calculation is performed by a program or function, but is not limited thereto.

[0075] Then, after obtaining the first concatenated code, the control terminal may perform fusion attention calculation on the first concatenated code to obtain the first attention code. Here, the attention calculation method may be but is not limited to the method of The calculation is performed by a program or function, but is not limited thereto.

[0076] Then, after obtaining the first attention code, the control terminal can perform splicing processing on the first attention code and the image code corresponding to the pressure difference value image to obtain a second splicing code. Here, the splicing processing method can be but is not limited to the set method, for example, by The calculation is performed by a program or function, but is not limited thereto.

[0077] Then, after obtaining the second concatenated code, the control terminal may perform fusion attention calculation on the second concatenated code to obtain the second attention code. Here, the attention calculation method may be but is not limited to the method of The calculation is performed by a program or function, but is not limited thereto.

[0078] Then, after obtaining the second attention code, the control terminal can perform a multi-layer perceptron calculation on the second attention code and determine the first fusion code based on the calculation result. Here, the multi-layer perceptron calculation method can be but is not limited to The program or function is used to perform calculations, and after obtaining the calculation result, the sum of the calculation result and the second attention code can be used as the first fusion code.

[0079] Then, after obtaining the first attention code, the control terminal can also perform multi-layer perceptron calculation on the first attention code, and determine the second fusion code based on the calculation result. Here, the multi-layer perceptron calculation method can be but is not limited to A program or function is used to perform calculations, and after obtaining the calculation result, the sum of the calculation result and the first attention code can be used as the second fusion code, and the first fusion code and the second fusion code mentioned above can be used together as a fusion code set.

[0080] Step 106: Obtain the material height in the ash hopper based on the rotary paddle level meter, and when the material height is detected to be lower than a preset material height, obtain an explosion-proof warning value based on the fused code set and the material height.

[0081] Specifically, after calculating the fusion code set, the control terminal can also send a control signal to the paddle-type level meter so that the paddle-type level meter can collect the material height in the ash hopper in real time. When it is detected that the material height is lower than the preset material height, it indicates that the current dust accumulation height in the ash hopper is still within a relatively normal range. Then, according to the material height, the fusion code set and the preset deep learning model, the explosion-proof warning value can be obtained through model prediction.

[0082] As another option of the embodiment of the present application, obtaining an explosion-proof warning value according to the fusion code set and the material height includes:

[0083] Classify the first fusion code and the second fusion code based on the fully connected layer, and perform weighted summation on the classification results according to a preset weight value to obtain a fusion value;

[0084] The fusion value and material height are input into a preset deep learning model to obtain an explosion-proof warning value; wherein, the preset deep learning model is trained by at least two sample fusion values ​​and the sample material height and standard explosion-proof warning value corresponding to each sample fusion value.

[0085] Specifically, when predicting the explosion-proof warning value, the control terminal may classify the first and second fused codes based on a fully connected layer (also understood as a fully connected layer). For example, but not limited to, the first and second fused codes may be input into the fully connected layer, and the output results may be weighted summed according to preset weights to obtain a fused value between 0 and 1. Here, the fully connected layer can be understood as a neural network structure well known in the art, and its structure and operating principle will not be further elaborated.

[0086] Then, after obtaining the fusion value, the control terminal may also, but is not limited to, input the fusion value and material height into a preset deep learning model, so that the model can combine different types of monitoring data to predict a more accurate and reliable explosion-proof warning value. Here, the preset deep learning model can be a neural network structure well known in the art, and its structure and operating principle will not be described in detail. The preset deep learning model can be trained by at least two sample fusion values, the sample material height corresponding to each sample fusion value, and the standard explosion-proof warning value marked by workshop staff, but is not limited to this.

[0087] Step 108: Control the explosion-proof valve, fire damper, and flameless explosion relief device respectively according to the explosion-proof warning value.

[0088] Specifically, after predicting the explosion-proof warning value, when the control terminal detects that the explosion-proof warning value is lower than the preset warning value range, it indicates that based on the current different types of monitoring data, it can be predicted that there is no dust explosion hazard in the dust collector for the time being. Then, the control terminal can control the explosion-proof valve and the fire damper to be in the on state, and control the flameless explosion unloading device to be in the standby state, so as to keep the dust collector in normal operation. It can be understood that when it is detected that the explosion-proof warning value is in the preset warning value range, it indicates that according to the current different types of monitoring data, it can be predicted that the dust collector may have a dust explosion hazard. Then, the control terminal can promptly send a control signal to the explosion-proof valve and the fire damper to put the explosion-proof valve and the fire damper in a blocked state to effectively avoid the propagation and spread of the explosion wave and the flame. At the same time, the control terminal can also promptly send a control signal to the flameless explosion unloading device to put the flameless explosion unloading device in an operating state, that is, to release the pressure in the dust collector and quickly intercept the damage and safety hazards caused by the dust explosion. After sending control signals to the explosion-proof valve, the fire damper and the flameless explosion unloading device respectively, the control terminal can also send a warning signal to the workshop to evacuate the staff in the workshop in time to avoid further safety hazards.

[0089] As another optional embodiment of the present application, the dust removal device further includes a third temperature sensor disposed in the ash hopper, and the method further includes:

[0090] The third temperature sensor obtains a third temperature value at a preset time interval. When it is detected that the third temperature value exceeds a preset temperature threshold, the explosion-proof valve and the fire damper are controlled to be in a blocked state, and the flameless explosion relief device is controlled to be in an operating state.

[0091] Specifically, the control terminal can also send a control signal to the third temperature sensor so that the third temperature sensor obtains the dust temperature value in the ash hopper (i.e., the third temperature value) at the same time interval, and can control the explosion-proof valve, the fire damper and the flameless explosion unloading device based on the comparison between the dust temperature value and the preset temperature threshold (please refer to one or more of the above embodiments, which will not be repeated here), so as to preliminarily judge whether there is a dust explosion hazard from the perspective of the dust temperature in the ash hopper, and is not limited to this.

[0092] See also Figure 3 , Figure 3 A schematic structural diagram of a dust explosion-proof monitoring device for a leaf shred drying process provided in an embodiment of the present application is shown.

[0093] The dust explosion-proof monitoring device for the leaf shred drying process can be specifically applied to dust removal equipment, which includes a dust collector, an explosion-proof valve, a fire damper, a flameless explosion-removing device, a first temperature sensor, a second temperature sensor, at least two differential pressure sensors, and a paddle-type level gauge. The explosion-proof valve, the fire damper, and the first temperature sensor are arranged at the inlet of the dust collector, the flameless explosion-removing device is arranged above the dust collector, the second temperature sensor is arranged at the outlet of the dust collector, all differential pressure sensors are arranged in an array on the inner wall of the dust collector, and the paddle-type level gauge is arranged in the ash hopper of the dust collector. Figure 3 As shown, the dust explosion prevention monitoring device for the leaf shred drying process may include at least a first processing module 301, a second processing module 302, a third processing module 303 and a fourth processing module 304, wherein:

[0094] A first processing module 301 is configured to obtain a first temperature value based on a first temperature sensor at a preset time interval, and to obtain a second temperature value based on a second temperature sensor at a preset time interval when the dust collector is in operation;

[0095] A second processing module 302 is configured to determine a pressure difference value matrix based on all pressure difference sensors when it is detected that both the first temperature value and the second temperature value are lower than a preset temperature threshold, and calculate a fusion code set based on the first temperature value, the second temperature value, and the pressure difference value matrix;

[0096] The third processing module 303 is used to obtain the material height in the ash hopper based on the paddle-rotor material level meter, and when the material height is detected to be lower than a preset material height, obtain an explosion-proof warning value based on the fused code set and the material height;

[0097] The fourth processing module 304 is used to control the explosion-proof valve, the fire damper and the flameless explosion relief device according to the explosion-proof warning value.

[0098] In some possible embodiments, after obtaining a first temperature value at a preset time interval based on the first temperature sensor and obtaining a second temperature value at a preset time interval based on the second temperature sensor, the method further includes:

[0099] When it is detected that the first temperature value exceeds a preset temperature threshold, the explosion-proof valve and the fire damper are controlled to be in a blocking state, and the flameless explosion relief device is controlled to be in an operating state; or

[0100] When it is detected that the second temperature value exceeds a preset temperature threshold, the explosion-proof valve and the fire damper are controlled to be in a blocking state, and the flameless explosion relief device is controlled to be in an operating state.

[0101] In some possible embodiments, the number of the differential pressure sensors is three;

[0102] A fusion code set is calculated according to the first temperature value, the second temperature value, and the pressure difference value matrix, including:

[0103] Calculating the mean of the first temperature value and the second temperature value, and obtaining a temperature value matrix based on the first temperature value, the mean result, and the second temperature value; wherein the arrangement of the temperature value matrix is ​​consistent with the arrangement of the pressure difference value matrix;

[0104] Converting the temperature value matrix based on a preset temperature-color mapping list and generating a temperature value image based on the processed temperature value matrix; wherein the preset temperature-color mapping list includes at least two groups of temperature intervals and colors corresponding to each group of temperature intervals;

[0105] The pressure difference value matrix is ​​converted based on a preset pressure difference-color mapping list, and a pressure difference value image is generated based on the processed pressure difference value matrix; wherein the preset pressure difference-color mapping list includes at least two groups of pressure difference intervals and colors corresponding to each group of pressure difference intervals;

[0106] A fusion code set is calculated based on the temperature value image, the pressure difference value image and the random fusion code.

[0107] In some possible embodiments, a fusion code set is calculated based on the temperature value image, the pressure difference value image, and the random fusion code, including:

[0108] Splicing the random fusion code and the code corresponding to the temperature value image to obtain a first spliced ​​code;

[0109] Perform fusion attention calculation on the first concatenated code to obtain the first attention code;

[0110] Splicing the first attention code and the code corresponding to the pressure difference value image to obtain a second spliced ​​code;

[0111] Perform fusion attention calculation on the second concatenated code to obtain the second attention code;

[0112] Perform multi-layer perceptron calculation on the second attention code, and determine the first fusion code based on the calculation result;

[0113] A multi-layer perceptron calculation is performed on the first attention code, and a second fusion code is determined according to the calculation result, so that the first fusion code and the second fusion code are used as a fusion code set.

[0114] In some possible embodiments, obtaining an explosion-proof warning value based on the fused code set and the material height includes:

[0115] Classify the first fusion code and the second fusion code based on the fully connected layer, and perform weighted summation on the classification results according to a preset weight value to obtain a fusion value;

[0116] The fusion value and material height are input into a preset deep learning model to obtain an explosion-proof warning value; wherein, the preset deep learning model is trained by at least two sample fusion values ​​and the sample material height and standard explosion-proof warning value corresponding to each sample fusion value.

[0117] In some possible embodiments, the explosion-proof valve, the fire damper, and the flameless explosion relief device are controlled and processed respectively according to the explosion-proof warning value, including:

[0118] When it is detected that the explosion-proof warning value is lower than the preset warning value range, the explosion-proof valve and the fire damper are controlled to be in the conduction state, and the flameless explosion relief device is controlled to be in the standby state;

[0119] When it is detected that the explosion-proof warning value is in the preset warning value range, the explosion-proof valve and the fire damper are controlled to be in the blocking state, and the flameless explosion relief device is controlled to be in the operating state.

[0120] In some possible embodiments, the dust removal device further includes a third temperature sensor disposed in the ash hopper, and the device is further configured to:

[0121] The third temperature sensor obtains a third temperature value at a preset time interval. When it is detected that the third temperature value exceeds a preset temperature threshold, the explosion-proof valve and the fire damper are controlled to be in a blocked state, and the flameless explosion relief device is controlled to be in an operating state.

[0122] See also Figure 4 , Figure 4 A schematic structural diagram of another dust explosion-proof monitoring device for a leaf shred drying process provided in an embodiment of the present application is shown.

[0123] The dust explosion-proof monitoring device for the leaf shred drying process can be specifically applied to dust removal equipment, which includes a dust collector, an explosion-proof valve, a fire damper, a flameless explosion-removing device, a first temperature sensor, a second temperature sensor, at least two differential pressure sensors, and a paddle-type level gauge. The explosion-proof valve, the fire damper, and the first temperature sensor are arranged at the inlet of the dust collector, the flameless explosion-removing device is arranged above the dust collector, the second temperature sensor is arranged at the outlet of the dust collector, all differential pressure sensors are arranged in an array on the inner wall of the dust collector, and the paddle-type level gauge is arranged in the ash hopper of the dust collector. Figure 4 As shown, the dust explosion prevention monitoring device for the leaf shred drying process may include at least one processor 401 , at least one network interface 404 , a user interface 403 , a memory 405 and at least one communication bus 402 .

[0124] The communication bus 402 may be used to implement connection and communication among the above components.

[0125] The user interface 403 may include buttons, and the optional user interface may also include a standard wired interface or a wireless interface.

[0126] The network interface 404 may include, but is not limited to, a Bluetooth module, an NFC module, a Wi-Fi module, and the like.

[0127] Among them, the processor 401 may include one or more processing cores. The processor 401 uses various interfaces and lines to connect the various parts of the dust explosion prevention monitoring device 400 for the leaf shred drying process, and executes various functions and processes data of the dust explosion prevention monitoring device 400 for the leaf shred drying process by running or executing instructions, programs, code sets or instruction sets stored in the memory 405, and calling data stored in the memory 405. Optionally, the processor 401 can be implemented in at least one hardware form of DSP, FPGA, and PLA. The processor 401 can integrate one or a combination of CPU, GPU, modem, etc. Among them, the CPU mainly processes the operating system, user interface, and application programs; the GPU is responsible for rendering and drawing the content to be displayed on the display screen; and the modem is used to handle wireless communications. It is understandable that the above-mentioned modem may not be integrated into the processor 401, but may be implemented separately through a chip.

[0128] Among them, the memory 405 may include RAM and may also include ROM. Optionally, the memory 405 includes a non-transitory computer-readable medium. The memory 405 can be used to store instructions, programs, codes, code sets or instruction sets. The memory 405 may include a program storage area and a data storage area, wherein the program storage area may store instructions for implementing an operating system, instructions for at least one function (such as a touch function, a sound playback function, an image playback function, etc.), instructions for implementing the above-mentioned various method embodiments, etc.; the data storage area may store data involved in the above-mentioned various method embodiments, etc. The memory 405 may also be optionally at least one storage device located away from the aforementioned processor 401. As Figure 4 As shown, the memory 405 as a computer storage medium may include an operating system, a network communication module, a user interface module, and a dust explosion prevention monitoring application for the leaf shred drying process.

[0129] Specifically, the processor 401 may be configured to call the dust explosion prevention monitoring application for the leaf shred drying process stored in the memory 405 and specifically perform the following operations:

[0130] When the dust collector is in operation, obtaining a first temperature value at a preset time interval based on the first temperature sensor, and obtaining a second temperature value at a preset time interval based on the second temperature sensor;

[0131] When it is detected that both the first temperature value and the second temperature value are lower than a preset temperature threshold, a pressure difference value matrix is ​​determined based on all the pressure difference sensors, and a fusion code set is calculated according to the first temperature value, the second temperature value and the pressure difference value matrix;

[0132] The material height in the hopper is obtained based on the paddle-rotor level meter. When the material height is detected to be lower than the preset material height, the explosion-proof warning value is obtained based on the fusion code set and the material height.

[0133] The explosion-proof valve, fire damper and flameless explosion relief device are controlled and processed respectively according to the explosion-proof warning value.

[0134] In some possible embodiments, after obtaining a first temperature value at a preset time interval based on the first temperature sensor and obtaining a second temperature value at a preset time interval based on the second temperature sensor, the method further includes:

[0135] When it is detected that the first temperature value exceeds a preset temperature threshold, the explosion-proof valve and the fire damper are controlled to be in a blocking state, and the flameless explosion relief device is controlled to be in an operating state; or

[0136] When it is detected that the second temperature value exceeds a preset temperature threshold, the explosion-proof valve and the fire damper are controlled to be in a blocking state, and the flameless explosion relief device is controlled to be in an operating state.

[0137] In some possible embodiments, the number of the differential pressure sensors is three;

[0138] A fusion code set is calculated according to the first temperature value, the second temperature value, and the pressure difference value matrix, including:

[0139] Calculating the mean of the first temperature value and the second temperature value, and obtaining a temperature value matrix based on the first temperature value, the mean result, and the second temperature value; wherein the arrangement of the temperature value matrix is ​​consistent with the arrangement of the pressure difference value matrix;

[0140] Converting the temperature value matrix based on a preset temperature-color mapping list and generating a temperature value image based on the processed temperature value matrix; wherein the preset temperature-color mapping list includes at least two groups of temperature intervals and colors corresponding to each group of temperature intervals;

[0141] The pressure difference value matrix is ​​converted based on a preset pressure difference-color mapping list, and a pressure difference value image is generated based on the processed pressure difference value matrix; wherein the preset pressure difference-color mapping list includes at least two groups of pressure difference intervals and colors corresponding to each group of pressure difference intervals;

[0142] A fusion code set is calculated based on the temperature value image, the pressure difference value image and the random fusion code.

[0143] In some possible embodiments, a fusion code set is calculated based on the temperature value image, the pressure difference value image, and the random fusion code, including:

[0144] Splicing the random fusion code and the code corresponding to the temperature value image to obtain a first spliced ​​code;

[0145] Perform fusion attention calculation on the first concatenated code to obtain the first attention code;

[0146] Splicing the first attention code and the code corresponding to the pressure difference value image to obtain a second spliced ​​code;

[0147] Perform fusion attention calculation on the second concatenated code to obtain the second attention code;

[0148] Perform multi-layer perceptron calculation on the second attention code, and determine the first fusion code based on the calculation result;

[0149] A multi-layer perceptron calculation is performed on the first attention code, and a second fusion code is determined according to the calculation result, so that the first fusion code and the second fusion code are used as a fusion code set.

[0150] In some possible embodiments, obtaining an explosion-proof warning value based on the fused code set and the material height includes:

[0151] Classify the first fusion code and the second fusion code based on the fully connected layer, and perform weighted summation on the classification results according to a preset weight value to obtain a fusion value;

[0152] The fusion value and material height are input into a preset deep learning model to obtain an explosion-proof warning value; wherein, the preset deep learning model is trained by at least two sample fusion values ​​and the sample material height and standard explosion-proof warning value corresponding to each sample fusion value.

[0153] In some possible embodiments, the explosion-proof valve, the fire damper, and the flameless explosion relief device are controlled and processed respectively according to the explosion-proof warning value, including:

[0154] When it is detected that the explosion-proof warning value is lower than the preset warning value range, the explosion-proof valve and the fire damper are controlled to be in the conduction state, and the flameless explosion relief device is controlled to be in the standby state;

[0155] When it is detected that the explosion-proof warning value is in the preset warning value range, the explosion-proof valve and the fire damper are controlled to be in the blocking state, and the flameless explosion relief device is controlled to be in the operating state.

[0156] In some possible embodiments, the dust removal device further includes a third temperature sensor disposed in the ash hopper, and further includes:

[0157] The third temperature sensor obtains a third temperature value at a preset time interval. When it is detected that the third temperature value exceeds a preset temperature threshold, the explosion-proof valve and the fire damper are controlled to be in a blocked state, and the flameless explosion relief device is controlled to be in an operating state.

[0158] The present application also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the above method. The computer-readable storage medium may include, but is not limited to, any type of disk, including a floppy disk, an optical disk, a DVD, a CD-ROM, a microdrive, a magneto-optical disk, a ROM, a RAM, an EPROM, an EEPROM, a DRAM, a VRAM, a flash memory device, a magnetic card or an optical card, a nanosystem (including a molecular memory IC), or any type of medium or device suitable for storing instructions and / or data.

[0159] It should be noted that for the aforementioned method embodiments, for the sake of simplicity, they are all expressed as a series of action combinations, but those skilled in the art should be aware that this application is not limited by the order of the actions described, because according to this application, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required by this application.

[0160] In the above embodiments, the description of each embodiment has its own focus. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0161] In the several embodiments provided in this application, it should be understood that the disclosed devices can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of units is only a logical function division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some service interface, and the indirect coupling or communication connection of devices or units can be electrical or other forms.

[0162] Units described as separate components may or may not be physically separate, and components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of these units may be selected to achieve the purpose of this embodiment according to actual needs.

[0163] In addition, the functional units in the various embodiments of the present application may be integrated into a single processing unit, or each unit may exist physically separately, or two or more units may be integrated into a single unit. The aforementioned integrated units may be implemented in the form of hardware or software functional units.

Claims

1. A dust explosion prevention monitoring method for a leaf shred drying process, characterized in that: The method is applied to dust removal equipment, which includes a dust collector, an explosion-proof valve, a fire damper, a flameless explosion relief device, a first temperature sensor, a second temperature sensor, at least two differential pressure sensors, and a paddle-type material level gauge. The explosion-proof valve, the fire damper, and the first temperature sensor are arranged at the inlet of the dust collector, the flameless explosion relief device is arranged above the dust collector, the second temperature sensor is arranged at the outlet of the dust collector, all the differential pressure sensors are arranged in an array on the inner wall of the dust collector, and the paddle-type material level gauge is arranged in the ash hopper of the dust collector. The method includes: When the dust collector is in operation, obtaining a first temperature value based on the first temperature sensor at a preset time interval, and obtaining a second temperature value based on the second temperature sensor at the preset time interval; When it is detected that both the first temperature value and the second temperature value are lower than a preset temperature threshold, determining a pressure difference value matrix based on all the pressure difference sensors, and calculating a fusion code set according to the first temperature value, the second temperature value, and the pressure difference value matrix; The material height in the ash hopper is obtained based on the rotary paddle level meter, and when it is detected that the material height is lower than a preset material height, an explosion-proof warning value is obtained according to the fusion code set and the material height; Controlling the explosion-proof valve, the fire damper and the flameless explosion relief device respectively according to the explosion-proof warning value; Wherein, the number of all the differential pressure sensors is three; The calculating a fusion coding set according to the first temperature value, the second temperature value, and the pressure difference value matrix includes: Calculating the mean of the first temperature value and the second temperature value, and obtaining a temperature value matrix according to the first temperature value, the mean result, and the second temperature value; wherein the arrangement of the temperature value matrix is ​​consistent with the arrangement of the pressure difference value matrix; Converting the temperature value matrix based on a preset temperature-color mapping list, and generating a temperature value image based on the processed temperature value matrix; wherein the preset temperature-color mapping list includes at least two groups of temperature intervals and colors corresponding to each group of the temperature intervals; The pressure difference value matrix is ​​converted based on a preset pressure difference-color mapping list, and a pressure difference value image is generated according to the processed pressure difference value matrix; wherein the preset pressure difference-color mapping list includes at least two groups of pressure difference intervals and colors corresponding to each group of the pressure difference intervals; A fusion code set is calculated according to the temperature value image, the pressure difference value image and random fusion codes.

2. The method according to claim 1, characterized in that After acquiring the first temperature value based on the first temperature sensor at the preset time interval and acquiring the second temperature value based on the second temperature sensor at the preset time interval, the method further includes: When it is detected that the first temperature value exceeds the preset temperature threshold, the explosion-proof valve and the fire damper are controlled to be in a blocking state, and the flameless explosion relief device is controlled to be in an operating state; or When it is detected that the second temperature value exceeds the preset temperature threshold, the explosion-proof valve and the fire damper are controlled to be in a blocking state, and the flameless explosion relief device is controlled to be in an operating state.

3. The method according to claim 1, characterized in that The calculating of a fusion code set according to the temperature value image, the pressure difference value image and the random fusion code includes: Splicing the random fusion code and the code corresponding to the temperature value image to obtain a first spliced ​​code; Performing fusion attention calculation on the first concatenated code to obtain a first attention code; performing splicing processing on the first attention code and the code corresponding to the pressure difference value image to obtain a second spliced ​​code; Performing fusion attention calculation on the second concatenated code to obtain a second attention code; Performing a multi-layer perceptron calculation on the second attention code, and determining a first fusion code based on the calculation result; A multi-layer perceptron calculation is performed on the first attention code, and a second fusion code is determined based on the calculation result, so that the first fusion code and the second fusion code are used as a fusion code set.

4. The method according to claim 3, characterized in that Obtaining an explosion-proof warning value according to the fused code set and the material height includes: Classify the first fusion code and the second fusion code based on a fully connected layer, and perform weighted summation on the classification results according to a preset weight value to obtain a fusion value; The fusion value and the material height are input into a preset deep learning model to obtain an explosion-proof warning value; wherein, the preset deep learning model is trained by at least two sample fusion values ​​and the sample material height and standard explosion-proof warning value corresponding to each sample fusion value.

5. The method according to claim 1, wherein The controlling and processing of the explosion-proof valve, the fire damper and the flameless explosion relief device respectively according to the explosion-proof warning value includes: When it is detected that the explosion-proof warning value is lower than the preset warning value interval, the explosion-proof valve and the fire damper are controlled to be in a conducting state, and the flameless explosion relief device is controlled to be in a standby state; When it is detected that the explosion-proof warning value is in the preset warning value interval, the explosion-proof valve and the fire damper are controlled to be in a blocking state, and the flameless explosion relief device is controlled to be in an operating state.

6. The method according to claim 1, characterized in that The dust removal equipment further includes a third temperature sensor disposed in the ash hopper, and the method further includes: Based on the third temperature sensor, a third temperature value is obtained according to the preset time interval. When it is detected that the third temperature value exceeds the preset temperature threshold, the explosion-proof valve and the fire damper are controlled to be in a blocked state, and the flameless explosion relief device is controlled to be in an operating state.

7. A dust explosion-proof monitoring device for a leaf shred drying process, characterized in that: The device is applied to dust removal equipment, which includes a dust collector, an explosion-proof valve, a fire damper, a flameless explosion relief device, a first temperature sensor, a second temperature sensor, at least two differential pressure sensors, and a paddle-type material level gauge. The explosion-proof valve, the fire damper, and the first temperature sensor are arranged at the inlet of the dust collector, the flameless explosion relief device is arranged above the dust collector, the second temperature sensor is arranged at the outlet of the dust collector, all the differential pressure sensors are arranged in an array on the inner wall of the dust collector, and the paddle-type material level gauge is arranged in the ash hopper of the dust collector. The device includes: a first processing module, configured to, when the dust collector is in operation, obtain a first temperature value based on the first temperature sensor at a preset time interval, and obtain a second temperature value based on the second temperature sensor at the preset time interval; a second processing module, configured to, when detecting that both the first temperature value and the second temperature value are lower than a preset temperature threshold, determine a pressure difference value matrix based on all the pressure difference sensors, and calculate a fusion code set based on the first temperature value, the second temperature value, and the pressure difference value matrix; a third processing module, configured to obtain a material height in the ash hopper based on the rotary paddle level meter, and when detecting that the material height is lower than a preset material height, obtain an explosion-proof warning value according to the fused code set and the material height; a fourth processing module, configured to control the explosion-proof valve, the fire damper, and the flameless explosion relief device respectively according to the explosion-proof warning value; Wherein, the number of all the differential pressure sensors is three; The calculating a fusion coding set according to the first temperature value, the second temperature value, and the pressure difference value matrix includes: Calculating the mean of the first temperature value and the second temperature value, and obtaining a temperature value matrix according to the first temperature value, the mean result, and the second temperature value; wherein the arrangement of the temperature value matrix is ​​consistent with the arrangement of the pressure difference value matrix; Converting the temperature value matrix based on a preset temperature-color mapping list, and generating a temperature value image based on the processed temperature value matrix; wherein the preset temperature-color mapping list includes at least two groups of temperature intervals and colors corresponding to each group of the temperature intervals; The pressure difference value matrix is ​​converted based on a preset pressure difference-color mapping list, and a pressure difference value image is generated according to the processed pressure difference value matrix; wherein the preset pressure difference-color mapping list includes at least two groups of pressure difference intervals and colors corresponding to each group of the pressure difference intervals; A fusion code set is calculated according to the temperature value image, the pressure difference value image and random fusion codes.

8. A dust explosion-proof monitoring device for a leaf shred drying process, characterized in that: including a processor and a memory; The processor is connected to the memory; The memory is used to store executable program code; The processor runs a program corresponding to the executable program code by reading the executable program code stored in the memory, so as to execute the steps of the method according to any one of claims 1 to 6.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: The computer-readable storage medium stores instructions, and when the instructions are executed on a computer or a processor, the computer or the processor executes the steps of the method according to any one of claims 1 to 6.

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