A desulfurization agent process production line control method

Abstract

The present invention relates to the field of desulfurization agent process production line control, specifically a desulfurization agent process production line control method, which detects whether the component content of each obtained initial raw material is qualified, monitors the actual temperature of the calcining furnace in real time according to the sensor, and adjusts it according to the temperature, uses a high-definition camera to obtain the particle size of the desulfurizer in real time, and automatically adjusts the working parameters of the grinding equipment according to the set particle size requirements to ensure that the particle size of the desulfurizer is uniform, installs a torque sensor on the stirring shaft, accurately controls the stirring speed and time, and packages the desulfurizer according to the preset gram weight. The energy consumption of the production line is monitored in real time, and the supply and distribution of energy are intelligently adjusted according to the production tasks and equipment operation status. The present invention greatly improves the automation level of the production line, reduces manual intervention, and improves production efficiency.

Description

Technical Field

[0001] The invention relates to the field of desulfurization agent process production line control, and in particular to a desulfurization agent process production line control method. Background Art

[0002] With the acceleration of industrialization and the continuous increase in energy consumption, the emission of sulfur-containing waste gas has become an increasingly serious environmental problem. In many industrial fields, such as electricity, steel and chemical industry, a large amount of waste gas containing sulfur compounds such as sulfur dioxide is generated during the production process; therefore, the demand for efficient desulfurization technology and high-quality desulfurizers is growing, which also promotes the continuous development of desulfurizer production technology; in the traditional desulfurizer production process, due to the lack of accurate raw material detection and control methods, the composition and quality of raw materials fluctuate greatly; the process parameters in the production process are not accurately controlled, such as calcination temperature, time and grinding particle size; the automation level of traditional production lines is low, and many operation links rely on manual intervention; the handling, weighing and delivery of raw materials need to be done manually, which is not only labor-intensive, but also slow, prone to human errors, and leads to low production efficiency.

[0003] There is a lack of effective coordination and integration between equipment in the production process, and the connection between various links is not smooth enough; the equipment's operating efficiency is low, and some old equipment has high energy consumption and poor performance, which increases energy consumption in the production process; some traditional crushing equipment and grinding equipment have problems such as large energy loss and severe mechanical wear during operation, which leads to energy waste and increased equipment maintenance costs. Summary of the invention

[0004] In order to solve the technical problems raised by the above background technology, the present invention provides a desulfurization agent process production line control method.

[0005] The purpose of the present invention can be achieved through the following technical solutions:

[0006] Step 1, raw material detection: detect whether the component content of each obtained initial raw material is qualified, and each initial raw material is put into the desulfurizer production line. The initial raw materials include limestone, magnesium oxide and soda ash. The images of each initial raw material of the production line are collected by a high-definition camera to obtain each initial raw material image, extract each preset image of limestone, magnesium oxide and soda ash in the data center, match each initial raw material image with the corresponding preset image, obtain the matching image of each initial raw material, send the matching image to the production line control terminal, the production line control terminal receives the matching image, generates an allocation instruction and sends it to the production line allocation device, the production line allocation device receives the allocation instruction, and allocates each initial raw material to the corresponding designated area according to type, the input end of each type of sensor is connected to the output end of the data center, and each initial raw material is detected by each type of sensor, specifically:

[0007] The content of limestone components is tested by X-ray fluorescence spectrometer to obtain the calcium carbonate content and impurity content;

[0008] The content of soda ash is tested by an acid-base titrator to obtain the sodium ion content and carbonate ion content;

[0009] The magnesium oxide content is detected by a spectrometer to obtain the magnesium oxide content;

[0010] Extract the preset calcium carbonate content range and the preset impurity content range of the data center limestone, compare the actually obtained calcium carbonate content and impurity content with the preset calcium carbonate content and the preset impurity content respectively, if the calcium carbonate content is less than or greater than the preset calcium carbonate content range, it means that the calcium carbonate content of the initial raw material is too high and too low, on the contrary, it means that the calcium carbonate content is normal, compare the impurity content with the preset impurity content, if the impurity content is less than the preset impurity content, it means that the impurity component content is not high, if the impurity content is greater than the preset impurity content, it means that the impurity content of the current limestone is too high, mark the limestone with excessively high impurity content, generate an abnormal signal for it and send it to the production line control terminal, the production line control terminal obtains the marked limestone image through a high-definition camera, generates a rejection instruction to the production line allocation device, the production line allocation device obtains the rejection instruction, removes the marked limestone from the production line, and pushes the qualified limestone to the raw material proportioning system.

[0011] An automated raw material proportioning system is used to control the proportions of various initial raw materials. The input end of the automated raw material proportioning system is connected to the output end of the data center to extract the raw material proportion of the desulfurizer preset in the data center. The raw material proportioning system obtains the corresponding initial raw materials according to the preset raw material proportion and pushes the obtained initial raw materials to the calcining furnace.

[0012] Step 2: Calcination temperature control: The calcining furnace receives each initial raw material, calcines each initial raw material, obtains the actual start time point when the initial raw material enters the calcining furnace, and then intercepts the end time point of the calcination of the initial raw material. The start time point and the end time point are subtracted to obtain the actual time period required for the calcination of the initial raw material, which is marked as the calcination time period KY. The temperature sensor is installed inside and outside the fireplace. The calcining furnace temperature is monitored in real time by the temperature sensor to obtain each temperature parameter at each time point. The temperature parameters corresponding to each time point are arranged from small to large to obtain the maximum temperature value GF. The average of each temperature parameter is calculated to obtain the average temperature value JT of the calcining furnace. The standard calcination period of the data center is extracted and marked as GL. The obtained calcination time period, average temperature value, maximum temperature value and standard calcination period are calculated using the formula The calcination operation value CA of the calcining furnace is obtained, wherein D1, D2, D3 and D4 are preset proportional coefficients, the preset calcination operation range of the data center is extracted, and the actual calcination operation value is compared with the preset calcination operation range. If the actual calcination operation value is greater than or less than the preset calcination operation range, the actual calcination operation value is subtracted from the preset calcination operation value to obtain the excess compensation value. If the excess compensation value is a negative number, it means that the temperature in the calcining furnace is low, and a low temperature compensation signal is generated and sent to the calcination control terminal. Similarly, if the excess compensation value is a positive number, a high temperature compensation value is generated and sent to the calcination control terminal. The calcining furnace control terminal receives the high temperature compensation signal or the low temperature compensation value, and for the high temperature compensation value, extracts the excess value of the high temperature compensation value. The calcining furnace control center sends a cooling control instruction to the temperature control device according to the extracted excess value, and reduces the fuel supply and the air intake through intelligent adjustment to stabilize the calcination temperature within the optimal range, thereby ensuring the activity of the desulfurizer; for the low temperature compensation value, the calcining furnace control center sends a heating control instruction to the temperature control device according to the extracted excess value, and increases the fuel supply and adjusts the ventilation volume through intelligent adjustment.

[0013] Step 3, particle size monitoring: use a high-definition camera to obtain the particle size of the desulfurizer in real time, and automatically adjust the working parameters of the grinding equipment according to the set particle size requirements to ensure the uniform particle size of the desulfurizer. Specifically: obtain the particle size image information of the corresponding desulfurizer through the high-definition camera installed on the crusher, amplify its particle size image information to obtain an enlarged particle size image, obtain each volume particle of the desulfurizer through the enlarged particle size image, extract the preset particle volume of the data center, match each volume particle of the desulfurizer with the preset volume particle, obtain standard volume particles and non-standard volume particles, mark the non-standard volume particles as abnormal volume particles, put the abnormal volume particles into the grinding equipment, and the grinding equipment terminal obtains the standard operating parameters of the corresponding desulfurizer. The standard operating parameters include the operating time and operating speed of the grinding equipment, and grinds the abnormal volume particles according to the standard operating parameters to obtain standard volume particles.

[0014] Step 4: Stirring monitoring: Install the torque sensor on the stirring shaft to accurately control the stirring speed and time to ensure that the various ingredients are fully mixed and evenly mixed. Specifically:

[0015] S1: Push the standard volume particles corresponding to each initial raw material to the stirring device, obtain the torque borne by the stirring shaft in the stirring operation state in real time through the torque sensor, and obtain the stirring torque value KL in real time;

[0016] S2: Extract the standard speed of the stirring shaft in the data center, marked as KH;

[0017] S3: Calculate using formula Get the output efficiency of the mixing equipment , where 2π is the conversion factor between rotational speed and angular velocity, 60 is the unit conversion, and minutes are converted to seconds;

[0018] S4: The voltage of the stirring device is collected in real time through a voltage sensor to obtain a voltage value HF, and the current value of the stirring device in the data center is extracted and marked as TR;

[0019] S5: Calculate using formula Get the input power of the stirring equipment , where CK is the power factor;

[0020] S6: Calculate the output efficiency and input power using the formula Get the stirring efficiency value of the stirring equipment ;

[0021] S7: extracting the preset efficiency threshold of the data center, comparing the actual stirring efficiency value with the preset efficiency threshold, if the preset efficiency threshold is less than the actual stirring efficiency value, it means that it is normal, otherwise, it means that the stirring speed is slow, and generating an adjustment signal to send to the stirring device control terminal, the stirring device control terminal obtains the adjustment signal, and adjusts the stirring efficiency by increasing the rotation speed;

[0022] S8: Install an online component analyzer on the stirring equipment, set the basic stirring time, and monitor the mixing state and key parameters of the standard volume particles in real time when the stirring equipment is in operation. The key parameters include composition changes and temperature changes. At the end of the basic stirring time, when the online component detector detects that the mixing state does not meet the requirements, an overtime signal is generated and sent to the stirring equipment control terminal. The stirring equipment continues to extend the stirring time, extracts data within the allowable range of the stirring mixture, and stops the movement of the stirring equipment when the online component detector detects that the composition deviation is within the allowable range.

[0023] Step 5. Packaging control: Pack the desulfurizer according to the preset weight, install the flow control valve on the feeding pipe to adjust the flow of the material, automatically adjust the valve opening according to the preset production instructions, and realize precise control of the feeding speed. The desulfurizer is transported to the automatic filling machine through the feeding pipe. The automatic filling machine includes a bag opening mechanism, a filling head, and a sealing device. The automatic filling machine opens the packaging bag, fills the preset quantitative desulfurizer into the bag, and performs a sealing operation.

[0024] Step 6, Energy Management Stage: Real-time monitoring of energy consumption of the production line, including fuel consumption and electricity consumption; intelligently adjust energy supply and distribution according to production tasks and equipment operating status, specifically: obtain the production tasks of the day through the data center, analyze the production tasks, if the production tasks are light, extract the historical operating time corresponding to each production equipment in the data center, mark it as working time, calculate the mean of the working time of each production equipment, obtain the average working time of each production equipment, match the working time of each production equipment with the average working time, if the working time of a production equipment is less than the average time, mark it as the preferred equipment, send the production task to the corresponding preferred equipment for production, generate a shutdown signal and send it to the control terminal of the remaining production equipment, and shut down the motion state of the production equipment.

[0025] Compared with the prior art, the beneficial effects of the present invention are: by precisely controlling the parameters of each production link, such as the composition ratio of raw materials, calcination temperature and grinding particle size, the performance of each batch of desulfurizer products is ensured to be highly consistent; high-precision sensors and automated control systems can monitor and adjust the production process in real time, avoiding the impact of human factors and external environmental changes on product quality, so that the key performance indicators such as the activity and pore structure of the desulfurizer are always maintained within the optimal range. Advanced grinding equipment, combined with particle size detection devices and automatic adjustment functions, make the particle size distribution of desulfurizer products more concentrated and uniform. The entire process production line adopts an automated control system, reducing the links and interventions of manual operations; from the automatic batching and transportation of raw materials, to the automatic start and stop and parameter adjustment of production equipment, to the packaging and storage of products, all have realized automated control.

[0026] Automated production not only reduces the labor intensity of workers, but also reduces errors and delays caused by human operations, improves the accuracy and reliability of production, enables the production line to run continuously and stably, and greatly improves production efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. The following drawings are not intentionally scaled to the actual size, and the focus is on illustrating the main purpose of the present invention.

[0028] Figure 1 It is a principle block diagram of the present invention. DETAILED DESCRIPTION

[0029] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work also fall within the scope of protection of the present invention.

[0030] The present invention is a desulfurization agent process production line control method, and the specific steps are as follows:

[0031] Step 1, raw material detection: detect whether the component content of each obtained initial raw material is qualified, and each initial raw material is put into the desulfurizer production line. The initial raw materials include limestone, magnesium oxide and soda ash. The images of each initial raw material of the production line are collected by a high-definition camera to obtain each initial raw material image, extract each preset image of limestone, magnesium oxide and soda ash in the data center, match each initial raw material image with the corresponding preset image, obtain the matching image of each initial raw material, send the matching image to the production line control terminal, the production line control terminal receives the matching image, generates an allocation instruction and sends it to the production line allocation device, the production line allocation device receives the allocation instruction, and allocates each initial raw material to the corresponding designated area according to type, the input end of each type of sensor is connected to the output end of the data center, and each initial raw material is detected by each type of sensor, specifically:

[0032] The content of limestone components is tested by X-ray fluorescence spectrometer to obtain the calcium carbonate content and impurity content;

[0033] The content of soda ash is tested by an acid-base titrator to obtain the sodium ion content and carbonate ion content;

[0034] The magnesium oxide content is detected by a spectrometer to obtain the magnesium oxide content;

[0035] Extract the preset calcium carbonate content range and the preset impurity content range of the data center limestone, compare the actually obtained calcium carbonate content and impurity content with the preset calcium carbonate content and the preset impurity content respectively, if the calcium carbonate content is less than or greater than the preset calcium carbonate content range, it means that the calcium carbonate content of the initial raw material is too high and too low, on the contrary, it means that the calcium carbonate content is normal, compare the impurity content with the preset impurity content, if the impurity content is less than the preset impurity content, it means that the impurity component content is not high, if the impurity content is greater than the preset impurity content, it means that the impurity content of the current limestone is too high, mark the limestone with excessively high impurity content, generate an abnormal signal for it and send it to the production line control terminal, the production line control terminal obtains the marked limestone image through a high-definition camera, generates a rejection instruction to the production line allocation device, the production line allocation device obtains the rejection instruction, removes the marked limestone from the production line, and pushes the qualified limestone to the raw material proportioning system.

[0036] An automated raw material proportioning system is used to control the proportions of various initial raw materials. The input end of the automated raw material proportioning system is connected to the output end of the data center to extract the raw material proportion of the desulfurizer preset in the data center. The raw material proportioning system obtains the corresponding initial raw materials according to the preset raw material proportion and pushes the obtained initial raw materials to the calcining furnace.

[0037] Step 2: Calcination temperature control: The calcining furnace receives each initial raw material, calcines each initial raw material, obtains the actual start time point when the initial raw material enters the calcining furnace, and then intercepts the end time point of the calcination of the initial raw material. The start time point and the end time point are subtracted to obtain the actual time period required for the calcination of the initial raw material, which is marked as the calcination time period KY. The temperature sensor is installed inside and outside the fireplace. The calcining furnace temperature is monitored in real time by the temperature sensor to obtain each temperature parameter at each time point. The temperature parameters corresponding to each time point are arranged from small to large to obtain the maximum temperature value GF. The average of each temperature parameter is calculated to obtain the average temperature value JT of the calcining furnace. The standard calcination period of the data center is extracted and marked as GL. The obtained calcination time period, average temperature value, maximum temperature value and standard calcination period are calculated using the formula The calcination operation value CA of the calcination furnace is obtained, where D1, D2, D3 and D4 are preset proportional coefficients, and their sizes are custom settings. The preset calcination operation range of the data center is extracted, and the actual calcination operation value is compared with the preset calcination operation range. If the actual calcination operation value is greater than or less than the preset calcination operation range, the actual calcination operation value and the preset calcination operation value are subtracted to obtain the excess compensation value. If the excess compensation value is a negative number, it means that the temperature in the calcination furnace is low, and a low temperature compensation signal is generated and sent to the calcination control terminal. Similarly, if the excess compensation value is a positive number, a high temperature compensation value is generated. It is sent to the calcining furnace control terminal, and the calcining furnace control terminal receives the high temperature compensation signal or the low temperature compensation value. For the high temperature compensation value, the excess value of the high temperature compensation value is extracted, and the calcining furnace control center sends a cooling control instruction to the temperature control device according to the extracted excess value, and reduces the fuel supply and the air intake through intelligent adjustment to stabilize the calcination temperature within the optimal range, and ensure the activity of the desulfurizer; for the low temperature compensation value, the calcining furnace control center sends a heating control instruction to the temperature control device according to the extracted excess value, and increases the fuel supply and adjusts the ventilation volume through intelligent adjustment.

[0038] Step 3, particle size monitoring: use a high-definition camera to obtain the particle size of the desulfurizer in real time, and automatically adjust the working parameters of the grinding equipment according to the set particle size requirements to ensure the uniform particle size of the desulfurizer. Specifically: obtain the particle size image information of the corresponding desulfurizer through the high-definition camera installed on the crusher, amplify its particle size image information to obtain an enlarged particle size image, obtain each volume particle of the desulfurizer through the enlarged particle size image, extract the preset particle volume of the data center, match each volume particle of the desulfurizer with the preset volume particle, obtain standard volume particles and non-standard volume particles, mark the non-standard volume particles as abnormal volume particles, put the abnormal volume particles into the grinding equipment, and the grinding equipment terminal obtains the standard operating parameters of the corresponding desulfurizer. The standard operating parameters include the operating time and operating speed of the grinding equipment, and grinds the abnormal volume particles according to the standard operating parameters to obtain standard volume particles.

[0039] Step 4: Stirring monitoring: Install the torque sensor on the stirring shaft to accurately control the stirring speed and time to ensure that the various ingredients are fully mixed and evenly mixed. Specifically:

[0040] S1: Push the standard volume particles corresponding to each initial raw material to the stirring device, obtain the torque borne by the stirring shaft in the stirring operation state in real time through the torque sensor, and obtain the stirring torque value KL in real time;

[0041] S2: Extract the standard speed of the stirring shaft in the data center, marked as KH;

[0042] S3: Calculate using formula Get the output efficiency of the mixing equipment , where 2π is the conversion factor between rotational speed and angular velocity, 60 is the unit conversion, and minutes are converted to seconds;

[0043] S4: The voltage of the stirring device is collected in real time through a voltage sensor to obtain a voltage value HF, and the current value of the stirring device in the data center is extracted and marked as TR;

[0044] S5: Calculate using formula Get the input power of the stirring equipment , where CK is the power factor;

[0045] S6: Calculate the output efficiency and input power using the formula Get the stirring efficiency value of the stirring equipment ;

[0046] S7: extracting the preset efficiency threshold of the data center, comparing the actual stirring efficiency value with the preset efficiency threshold, if the preset efficiency threshold is less than the actual stirring efficiency value, it means that it is normal, otherwise, it means that the stirring speed is slow, and generating an adjustment signal to send to the stirring device control terminal, the stirring device control terminal obtains the adjustment signal, and adjusts the stirring efficiency by increasing the rotation speed;

[0047] S8: Install an online component analyzer on the stirring equipment, set the basic stirring time, and monitor the mixing state and key parameters of the standard volume particles in real time when the stirring equipment is in operation. The key parameters include composition changes and temperature changes. At the end of the basic stirring time, when the online component detector detects that the mixing state does not meet the requirements, an overtime signal is generated and sent to the stirring equipment control terminal. The stirring equipment continues to extend the stirring time, extracts data within the allowable range of the stirring mixture, and stops the movement of the stirring equipment when the online component detector detects that the composition deviation is within the allowable range.

[0048] Step 5. Packaging control: Pack the desulfurizer according to the preset weight, install the flow control valve on the feeding pipe to adjust the flow of the material, automatically adjust the valve opening according to the preset production instructions, and realize precise control of the feeding speed. The desulfurizer is transported to the automatic filling machine through the feeding pipe. The automatic filling machine includes a bag opening mechanism, a filling head, and a sealing device. The automatic filling machine opens the packaging bag, fills the preset quantitative desulfurizer into the bag, and performs a sealing operation.

[0049] Step 6, Energy Management Stage: Real-time monitoring of energy consumption of the production line, including fuel consumption and electricity consumption; intelligently adjust energy supply and distribution according to production tasks and equipment operating status, specifically: obtain the production tasks of the day through the data center, analyze the production tasks, if the production tasks are light, extract the historical operating time corresponding to each production equipment in the data center, mark it as working time, calculate the mean of the working time of each production equipment, obtain the average working time of each production equipment, match the working time of each production equipment with the average working time, if the working time of a production equipment is less than the average time, mark it as the preferred equipment, send the production task to the corresponding preferred equipment for production, generate a shutdown signal and send it to the control terminal of the remaining production equipment, and shut down the motion state of the production equipment.

[0050] The above is an illustration of the present invention and should not be considered as a limitation thereof. Although several exemplary embodiments of the present invention have been described, those skilled in the art will readily appreciate that many modifications may be made to the exemplary embodiments without departing from the novel teachings and advantages of the present invention; therefore, all such modifications are intended to be included within the scope of the present invention as defined in the claims. It should be understood that the above is an illustration of the present invention and should not be considered as limited to the specific embodiments disclosed, and modifications to the disclosed embodiments and other embodiments are intended to be included within the scope of the appended claims; the present invention is defined by the claims and their equivalents.

Claims

1. A desulfurization agent production line control method, characterized in that: The steps include: A1. Test the obtained initial raw materials to see if their content is qualified, and put the initial raw materials into the desulfurization agent production line; A2. Monitor the actual temperature of the calcining furnace in real time according to the sensor, adjust it according to the temperature, and calcine each initial raw material; A3. Use a high-definition camera to obtain the particle size of the desulfurizer in real time, and automatically adjust the working parameters of the grinding equipment according to the set particle size requirements. Use a high-definition camera to obtain the particle size of the desulfurizer in real time, and automatically adjust the working parameters of the grinding equipment according to the set particle size requirements to ensure the uniform particle size of the desulfurizer. Specifically, the particle size image information of the corresponding desulfurizer is obtained by installing a high-definition camera on the crusher, and its particle size image information is amplified to obtain an amplified particle size image. The volume particles of the desulfurizer are obtained by amplifying the particle size image, and the preset particle volume of the data center is extracted. The volume particles of the desulfurizer are matched with the preset volume particles to obtain standard volume particles and non-standard volume particles. The non-standard volume particles are marked as abnormal volume particles, and the abnormal volume particles are placed in the grinding equipment. The grinding equipment terminal obtains the standard operating parameters of the corresponding desulfurizer. The standard operating parameters include the running time and running speed of the grinding equipment. The abnormal volume particles are ground according to the standard operating parameters to obtain standard volume particles. A4. Install the torque sensor on the stirring shaft to accurately control the stirring speed and time and monitor whether the components of the stirred mixture are fully mixed; A5. Pack the desulfurizer according to the preset weight; A6. Monitor the energy consumption of the production line in real time and intelligently adjust the energy distribution according to production tasks and equipment operation status; Raw material testing: Each raw material is tested to see if its content is qualified. The specific method is as follows: Each initial raw material is put into the desulfurizer production line. The initial raw materials include limestone, magnesium oxide and soda ash. The images of each initial raw material of the production line are collected by a high-definition camera to obtain each initial raw material image. The preset images of limestone, magnesium oxide and soda ash in the data center are extracted. Each initial raw material image is matched with the corresponding preset image to obtain the matching image of each initial raw material. The matching image is sent to the production line control terminal. The production line control terminal receives the matching image, generates an allocation instruction and sends it to the production line allocation device. The production line allocation device receives the allocation instruction and allocates each initial raw material to the corresponding designated area according to the type. The input end of each type of sensor is connected to the output end of the data center. Each initial raw material is detected by each type of sensor, specifically: The content of limestone components is tested by X-ray fluorescence spectrometer to obtain the calcium carbonate content and impurity content; The content of soda ash is tested by an acid-base titrator to obtain the sodium ion content and carbonate ion content; The magnesium oxide content is detected by a spectrometer to obtain the magnesium oxide content; Extract the preset calcium carbonate content range and the preset impurity content range of the limestone in the data center, and compare the actually obtained calcium carbonate content and impurity content with the preset calcium carbonate content and the preset impurity content respectively. If the calcium carbonate content is less than or greater than the preset calcium carbonate content range, it means that the calcium carbonate content of the initial raw material is too high or too low. On the contrary, it means that the calcium carbonate content is normal. Compare the impurity content with the preset impurity content. If the impurity content is less than the preset impurity content, it means that the impurity component content is not high. If the impurity content is greater than the preset impurity content, it means that the impurity content of the current limestone is too high. Mark the limestone with the excessively high impurity content, generate an abnormal signal for it and send it to the production line control terminal. The production line control terminal obtains the marked limestone image through a high-definition camera, generates a rejection instruction to the production line distribution device, and the production line distribution device obtains the rejection instruction, removes the marked limestone from the production line, and pushes the qualified limestone to the raw material proportioning system; An automated raw material ratio system is used to control the ratio of various initial raw materials. The input end of the automated raw material ratio system is connected to the output end of the data center to extract the raw material ratio of the desulfurizer preset in the data center. The raw material ratio system obtains the corresponding initial raw materials according to the preset raw material ratio and pushes the obtained initial raw materials to the calcining furnace. The calcination temperature control monitors the actual temperature of the calcination furnace in real time according to the sensor, and adjusts it according to the temperature, specifically: The calcining furnace receives each initial raw material, obtains the start time point when the initial raw material actually enters the calcining furnace, then intercepts the end time point of the calcination of the initial raw material, and subtracts the start time point from the end time point to obtain the actual time period required for calcining the initial raw material, which is marked as the calcination time period. The temperature sensor is installed inside and outside the fireplace. The temperature of the calcining furnace is monitored in real time by the temperature sensor, and the temperature parameters of each time point are obtained. The temperature parameters corresponding to each time point are arranged from small to large to obtain the maximum temperature value. The average of each temperature parameter is calculated to obtain the average temperature value of the calcining furnace, and the standard calcination time period of the data center is extracted. The obtained calcination time period, average temperature value, maximum temperature value and standard calcination time period are analyzed to obtain the calcination operation value of the calcining furnace, and the preset calcination operation range of the data center is extracted. The actual calcination operation value is compared with the preset calcination operation range. If the actual calcination operation value is larger than the preset calcination operation range, the actual calcination operation value is compared with the preset calcination operation range. If the value is greater than or less than the preset calcination operation range, the actual calcination operation value is subtracted from the preset calcination operation value to obtain the excess compensation value. If the excess compensation value is a negative number, it means that the temperature in the calcination furnace is low, and a low temperature compensation signal is generated and sent to the calcination control terminal. Similarly, if the excess compensation value is a positive number, a high temperature compensation value is generated and sent to the calcination furnace control terminal. The calcination furnace control terminal receives the high temperature compensation signal or the low temperature compensation value. For the high temperature compensation value, the excess value of the high temperature compensation value is extracted. The calcination furnace control center sends a cooling control instruction to the temperature control device according to the extracted excess value, and reduces the fuel supply and the air intake through intelligent regulation, so that the calcination temperature is stabilized within the optimal range, and the activity of the desulfurizer is ensured when the temperature is high. For the low temperature compensation value, the calcination furnace control center sends a heating control instruction to the temperature control device according to the extracted excess value, and increases the fuel supply and adjusts the ventilation volume through intelligent regulation. Agitation monitoring installs a torque sensor on the agitator shaft to accurately control the agitation speed and time, specifically: S1: Push the standard volume particles corresponding to each initial raw material to the stirring device, obtain the torque borne by the stirring shaft in the stirring operation state in real time through the torque sensor, and obtain the stirring torque value KL in real time; S2: Extract the standard speed of the stirring shaft in the data center, marked as KH; S3: Calculate using formula Get the output efficiency of the mixing equipment , where 2π represents the conversion factor between rotational speed and angular velocity, 60 is the unit conversion, and minutes are converted to seconds; S4: The voltage of the stirring device is collected in real time through a voltage sensor to obtain a voltage value HF, and the current value of the stirring device in the data center is extracted and marked as TR; S5: Calculate using formula Get the input power of the stirring equipment , where CK is the power factor; S6: Calculate the output efficiency and input power using the formula Get the stirring efficiency value of the stirring equipment ; S7: extracting the preset efficiency threshold of the data center, comparing the actual stirring efficiency value with the preset efficiency threshold, if the preset efficiency threshold is less than the actual stirring efficiency value, it means that it is normal, otherwise, it means that the stirring speed is slow, and generating an adjustment signal to send to the stirring device control terminal, the stirring device control terminal obtains the adjustment signal, and adjusts the stirring efficiency by increasing the rotation speed; S8: Install an online component analyzer on the stirring equipment, set the basic stirring time, and monitor the mixing state and key parameters of the standard volume particles in real time when the stirring equipment is in operation. The key parameters include composition changes and temperature changes. At the end of the basic stirring time, when the online component detector detects that the mixing state does not meet the requirements, an overtime signal is generated and sent to the stirring equipment control terminal. The stirring equipment continues to extend the stirring time, extracts data within the allowable range of the stirring mixture, and stops the movement of the stirring equipment when the online component detector detects that the composition deviation is within the allowable range.

2. A desulfurization agent process production line control method according to claim 1, characterized in that: Packaging control is carried out according to the preset desulfurizer weight, the specific method is as follows: The flow control valve is installed on the feeding pipeline to adjust the flow of the material. The valve opening is automatically adjusted according to the preset production instructions to achieve precise control of the feeding speed. The desulfurizer is transported to the automatic filling machine through the feeding pipeline. The automatic filling machine includes a bag opening mechanism, a filling head and a sealing device. The automatic filling machine opens the packaging bag, fills the preset quantitative desulfurizer into the bag, and performs a sealing operation.

3. A desulfurization agent process production line control method according to claim 1, characterized in that: Energy management monitors the energy consumption of the production line in real time and intelligently adjusts the supply and distribution of energy according to production tasks and equipment operating status. The specific methods are as follows: Obtain the production tasks of the day through the data center and analyze the production tasks. If the production tasks are light, extract the historical operating time of each production equipment in the data center and mark it as working time. Calculate the mean of the working time of each production equipment to get the average working time of each production equipment. Match the working time of each production equipment with the average working time. If the working time of a production equipment is less than the average time, mark it as the preferred equipment, send the production task to the corresponding preferred equipment for production, generate a shutdown signal and send it to the control terminal of the remaining production equipment to shut down the motion state of the production equipment.

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