An intelligent control system for suspended calcination of powdered lime based on the Internet of Things

Abstract

The present invention relates to the technical field of intelligent control of suspension calcination, and specifically discloses an intelligent control system for suspension calcination of powdered lime based on the Internet of Things, including a raw material basic information acquisition module, a raw material suspension state analysis module, a suspension calcination furnace suspension control module, a raw material preheating information acquisition module, a raw material preheating influence analysis module, a raw material initial information acquisition module, a raw material calcination state analysis module, a suspension calcination furnace calcination control module, and a suspension calcination management database. By analyzing and controlling the suspension and calcination states of raw materials in the target suspension calcination furnace, the problems existing in current manual control are solved, the intelligent and automatic control of suspension calcination of powdered lime is realized, the accuracy, flexibility, and real-time performance of the control of the suspension calcination furnace are ensured, and at the same time, the effect and efficiency of the powdered lime production process are improved, thereby improving the production quality of powdered lime.

Description

Technical Field

[0001] The present invention belongs to the technical field of intelligent control of suspension calcination, and relates to an intelligent control system for suspension calcination of powdered lime based on the Internet of Things. Background Art

[0002] With the continuous development of science and technology, the production process of powdered lime is also constantly progressing. Among them, the suspension calcination process of powdered lime has the advantages of high system thermal efficiency, low energy consumption and high resource utilization rate, and gradually becomes an important way of the powdered lime production process. During the suspension calcination process of powdered lime, the suspension state and calcination state of the raw materials affect the production effect of powdered lime. Therefore, intelligent control analysis of the suspension calcination of powdered lime is required.

[0003] At present, when powdered lime is suspension-calcined in a suspension calciner, the suspension calciner is mainly controlled manually. Obviously, this control method has the following problems: 1. The suspension state of the raw materials in the suspension calciner affects the calcination of the raw materials. Currently, only the air supply pressure in the suspension calciner is controlled manually, and the air supply pressure in the suspension calciner is not analyzed and controlled according to the suspension situation of the raw materials in the suspension calciner. Therefore, the intelligent control of the raw material suspension cannot be effectively reflected, and the optimal state of the raw material suspension cannot be guaranteed, so the effect and efficiency of the raw material calcination cannot be improved.

[0004] 2. The preheating of the raw materials is the premise of the raw material calcination. Currently, the calcination control of the raw materials in the suspension calciner does not consider the preheating situation of the raw materials. Therefore, the compliance and uniformity of the temperature of the raw materials after preheating cannot be effectively guaranteed, and the accuracy of the analysis results of the subsequent raw material calcination temperature and duration cannot be improved, resulting in poor raw material calcination effect.

[0005] 3. The calcination state of the raw materials directly determines the production quality of powdered lime. Currently, the calcination temperature and duration in the suspension calciner are controlled manually, and the calcination temperature and duration in the suspension calciner are not controlled in real time according to the calcination situation of the raw materials. The flexibility of the suspension calcination control cannot be effectively improved, and the speed of the raw material calcination and the production quality of powdered lime cannot be improved. Summary of the Invention

[0006] The purpose of the present invention is to provide an intelligent control system for suspension calcination of powdered lime based on the Internet of Things, which solves the problems in the background art.

[0007] The object of the present invention can be achieved by the following technical solutions: An intelligent control system for the suspension calcination of powdered lime based on the Internet of Things, comprising: a raw material basic information acquisition module, configured to divide the calcination process in the target suspension calciner into each acquisition time point according to a preset time duration, and then acquire the basic information of the raw materials corresponding to the target suspension calciner at each acquisition time point.

[0008] A raw material suspension state analysis module, configured to analyze the raw material suspension state coefficients corresponding to the target suspension calciner at each acquisition time point according to the basic information of the raw materials corresponding to the target suspension calciner at each acquisition time point.

[0009] A suspension calciner suspension control module, configured to analyze the suspension control information corresponding to the target suspension calciner at each acquisition time point, and then perform suspension control on the target suspension calciner at each acquisition time point.

[0010] A raw material preheating information acquisition module, configured to acquire the preheating temperature of each raw material after the raw material preheating is completed.

[0011] A raw material preheating influence analysis module, configured to analyze the preheating influence factors of the raw materials according to the preheating temperature of each raw material.

[0012] A raw material initial information acquisition module, configured to acquire the initial information of the raw materials corresponding to the target suspension calciner.

[0013] A raw material calcination state analysis module, configured to analyze the raw material calcination state coefficients corresponding to the target suspension calciner at each acquisition time point.

[0014] A suspension calciner calcination control module, configured to analyze the calcination control information corresponding to the target suspension calciner at each acquisition time point, and then control the calcination of the target suspension calciner at each acquisition time point.

[0015] Optionally, the basic information of the raw materials corresponding to the target suspension calciner includes the suspension height of each raw material, the volume of each raw material, the total number of raw materials, the number of suspended raw materials, and the carbon dioxide concentration.

[0016] Optionally, the analysis of the raw material suspension state coefficients corresponding to the target suspension calciner at each acquisition time point is specifically as follows: Obtain the reference density of the raw materials from the suspension calcination management database, and then calculate the weights of the raw materials corresponding to the target suspension calciner at each acquisition time point according to the volumes of the raw materials corresponding to the target suspension calciner at each acquisition time point.

[0017] Obtain the air supply pressure corresponding to the target suspension calciner at each acquisition time point from the control center of the suspension calciner, and then compare the weights and air supply pressures corresponding to each raw material in the target suspension calciner at each acquisition time point with the reference suspension heights corresponding to the weights of each raw material stored in the suspension calcination management database under each air supply pressure, so as to obtain the reference suspension heights corresponding to each raw material in the target suspension calciner at each acquisition time point, denoted as H′ it , where i represents the number corresponding to each raw material, i = 1, 2......n, and t represents the number corresponding to each acquisition time point, t = 1, 2......p.

[0018] According to the calculation formula , obtain the raw material suspension state coefficient corresponding to the target suspension calciner at each acquisition time point , where H it represents the suspension height corresponding to the i-th raw material in the target suspension calciner at the t-th acquisition time point, N t ′ represents the number of suspended raw materials in the target suspension calciner at the t-th acquisition time point, N t represents the total number of raw materials corresponding to the target suspension calciner at the t-th acquisition time point, and ε1 and ε2 are the weight factors corresponding to the set raw material suspension height and the number of suspended raw materials respectively.

[0019] Optionally, the analysis of the suspension control information corresponding to the target suspension calciner at each acquisition time point is as follows: S1. Compare the raw material suspension state coefficient corresponding to the target suspension calciner at each acquisition time point with the standard raw material suspension state coefficient interval stored in the suspension calcination management database;

[0020] S2. If the raw material suspension state compliance coefficient corresponding to the target suspension calciner at a certain acquisition time point is greater than the upper limit value of the standard raw material suspension state compliance coefficient interval, it is determined that the air supply pressure corresponding to the target suspension calciner at this acquisition time point is high, and then it is necessary to lower the air supply pressure corresponding to the target suspension calciner at this acquisition time point. At the same time, obtain the difference in the raw material suspension state coefficient corresponding to the target suspension calciner at this acquisition time point, and compare it with the difference in the raw material suspension state compliance coefficient corresponding to each air supply pressure adjustment value stored in the suspension calcination management database to obtain the air supply pressure adjustment value corresponding to the target suspension calciner at this acquisition time point;

[0021] S3. If the raw material suspension state coefficient corresponding to the target suspension calciner at a certain acquisition time point is within the standard raw material suspension state coefficient interval, it is determined that the air supply pressure corresponding to the target suspension calciner at this acquisition time point is normal, and no suspension control is performed;

[0022] S4. If the raw material suspension state coefficient corresponding to the target suspension calciner at a certain collection time point is less than the lower limit of the standard raw material suspension state coefficient range, it is determined that the air supply pressure corresponding to the target suspension calciner at this collection time point is low. Therefore, it is necessary to increase the air supply pressure corresponding to the target suspension calciner at this collection time point, and according to the analysis method in step S2, obtain the air supply pressure adjustment value corresponding to the target suspension calciner at this collection time point.

[0023] S5. According to the analysis methods in steps S1 to S4, obtain the air supply pressure adjustment methods and air supply pressure adjustment values corresponding to the target suspension calciner at each collection time point, where the air supply pressure adjustment methods include reducing the air supply pressure and increasing the air supply pressure, and record the air supply pressure adjustment methods and air supply pressure adjustment values corresponding to the target suspension calciner at each collection time point as the suspension control information corresponding to the target suspension calciner at each collection time point.

[0024] Optionally, the analysis of the preheating influence factor of the raw material is as follows: Substitute the preheating temperature of each raw material into the calculation formula to obtain the preheating influence factor δ of the raw material, where YT is the standard raw material preheating temperature stored in the suspension calcination management database, YT i and YT i+1 represent the preheating temperatures corresponding to the i-th and i + 1-th raw materials respectively, and η1 and η2 are the weight factors corresponding to the qualified preheating temperature of the raw material and the uniform preheating temperature of the raw material respectively.

[0025] Optionally, the initial information of the raw material corresponding to the target suspension calciner includes the initial carbon dioxide concentration, the initial average volume of the raw material, and the initial total quantity of the raw material.

[0026] Optionally, the analysis of the raw material calcination state coefficient corresponding to the target suspension calciner at each collection time point is as follows: Obtain the calcination temperature corresponding to the target suspension calciner at each collection time point from the suspension calciner control center, and at the same time obtain the calcination duration corresponding to the target suspension calciner at each collection time point. At the same time, based on the volume of each raw material corresponding to the target suspension calciner at each collection time point, obtain the average volume of the raw material corresponding to the target suspension calciner at each collection time point.

[0027] Compare the calcination temperature corresponding to the target suspension calciner at each collection time point with the reduction amount of the reference volume of the raw material corresponding to the initial volume and quantity of each raw material stored in the suspension calcination management database at each calcination temperature and calcination duration to obtain the reduction amount of the reference volume of the raw material corresponding to the target suspension calciner at each collection time point, and record it as ΔV t ;

[0028] Analyze the raw material reference growth quantity and reference carbon dioxide increment corresponding to the target suspension calciner at each collection time point according to the analysis method of the raw material reference volume reduction amount corresponding to the target suspension calciner, and record them as ΔN t and ΔC t ;

[0029] According to the calculation formula , obtain the raw material calcination state coefficient α corresponding to the target suspension calciner at each collection time point t , where C t-1 , V t-1 , N t-1 respectively represent the carbon dioxide concentration, the average raw material volume, and the total raw material quantity corresponding to the target suspension calciner at the (t - 1)th collection time point, and C t , V t , N t respectively represent the carbon dioxide concentration, the average raw material volume, and the total raw material quantity corresponding to the target suspension calciner at the tth collection time point, C0, V0, and N0 represent the initial carbon dioxide concentration, the initial average raw material volume, and the initial total raw material quantity corresponding to the target suspension calciner, and λ1, λ2, and λ3 respectively represent the weight factors corresponding to the carbon dioxide concentration, the average raw material volume, and the total raw material quantity.

[0030] Optionally, the analysis of the calcination control information corresponding to the target suspension calciner at each collection time point is as follows: A1. Compare the raw material calcination state coefficient corresponding to the target suspension calciner at each collection time point with the standard raw material calcination state coefficient range stored in the suspension calcination management database.

[0031] A2. If the raw material calcination state coefficient corresponding to the target suspension calciner at a certain collection time point is greater than the upper limit value of the standard raw material calcination state coefficient range, it is determined that the calcination temperature corresponding to the target suspension calciner at this collection time point is high. Then, it is necessary to lower the calcination temperature corresponding to the target suspension calciner at this collection time point, and calculate the difference in the raw material calcination state coefficient corresponding to the target suspension calciner at this collection time point. Thus, compare the difference in the raw material calcination state coefficient corresponding to the target suspension calciner at this collection time point with the differences in the raw material calcination state coefficients corresponding to the calcination temperature adjustment values and calcination durations stored in the suspension calcination management database to obtain the calcination temperature adjustment value and calcination duration corresponding to the target suspension calciner at this collection time point.

[0032] A3. If the raw material calcination state coefficient corresponding to the target suspension calciner at a certain collection time point is within the standard raw material calcination state coefficient range, it is determined that the calcination temperature corresponding to the target suspension calciner at this collection time point is normal and no calcination control is required.

[0033] A4. If the raw material calcination state coefficient corresponding to the target suspension calciner at a certain collection time point is greater than the upper limit value of the standard raw material calcination state coefficient range, it is determined that the calcination temperature of the target suspension calciner at this collection time point is low. Then, it is necessary to increase the calcination temperature of the target suspension calciner at this collection time point, and according to the analysis method in step A2, analyze and obtain the calcination temperature adjustment value and calcination duration corresponding to the target suspension calciner at this collection time point.

[0034] A5. According to the analysis methods in steps A1 to A4, analyze and obtain the calcination temperature adjustment method, calcination temperature adjustment value, and calcination duration corresponding to the target suspension calciner at each collection time point. The calcination temperature adjustment method includes lowering and increasing the calcination temperature, and record the calcination temperature adjustment value and calcination duration corresponding to the target suspension calciner at each collection time point as the calcination control information corresponding to the target suspension calciner at each collection time point.

[0035] Optionally, the suspension calcination management database is used to store the reference density of the raw material, the standard raw material preheating temperature, and the optimal suspension height corresponding to each raw material weight, store the standard raw material suspension state coefficient range, the standard raw material calcination state coefficient range, the reference suspension height corresponding to each raw material weight under each air supply pressure, the difference in the raw material suspension state compliance coefficient corresponding to each air supply pressure adjustment value, and the difference in the raw material calcination state coefficient corresponding to each calcination temperature adjustment value and calcination duration, store the reduction amount of the raw material reference volume, the reference growth quantity of the raw material, and the reference carbon dioxide increment corresponding to each initial raw material volume and quantity under each calcination temperature and calcination duration.

[0036] Compared with the prior art, the beneficial effects of the present invention are as follows: 1. An intelligent control system for lime powder suspension calcination based on the Internet of Things provided by the present invention analyzes and controls the suspension and calcination states of the raw materials in the target suspension calciner, solves the problems that occur in current manual control, realizes the intelligent and automatic control of lime powder suspension calcination, effectively guarantees the effect and efficiency of the lime powder production process, and at the same time improves the production quality of lime powder.

[0037] 2. In the raw material suspension state analysis module of the present invention, by analyzing the suspension state of the raw materials in the target suspension calciner, it provides a reliable guarantee for subsequent raw material suspension control analysis, effectively guarantees the accuracy and flexibility of the air supply pressure in the suspension calciner, and greatly guarantees the optimal suspension state and calcination effect of the raw materials.

[0038] 3. In the raw material preheating influence analysis module of the present invention, by analyzing the raw material preheating influence factors, it accurately shows the influence of the raw material preheating result on raw material calcination, and improves the accuracy of the subsequent analysis results of raw material calcination temperature and duration.

[0039] 4. In the raw material calcination state analysis module of the present invention, by analyzing the calcination state of the raw materials in the target suspension calciner, accurate and intuitive data is provided for the subsequent analysis and control of the calcination temperature and duration of the raw materials, realizing the real-time control of the calcination temperature in the suspension calciner and improving the calcination speed of the raw materials and the production quality of powdered lime. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for describing the embodiments will be briefly introduced below. Obviously, the accompanying drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0041] Figure 1 It is a schematic diagram of the system module connection structure of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0042] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some of the embodiments of the present invention, rather than all of them. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0043] Please refer to Figure 1 As shown, an intelligent control system for powdered lime suspension calcination based on the Internet of Things includes: a raw material basic information collection module, a raw material suspension state analysis module, a suspension calciner suspension control module, a raw material preheating information collection module, a raw material preheating influence analysis module, a raw material initial information collection module, a raw material calcination state analysis module, a suspension calciner calcination control module, and a suspension calcination management database.

[0044] The suspension calcination management database is respectively connected to the raw material suspension state analysis module, the suspension calciner suspension control module, the raw material preheating influence analysis module, the raw material calcination state analysis module, and the suspension calciner calcination control module. The raw material suspension state analysis module is respectively connected to the raw material basic information collection module and the suspension calciner suspension control module. The raw material preheating information collection module is connected to the raw material preheating influence analysis module. The raw material calcination state analysis module is also connected to the raw material basic information collection module, the raw material initial information collection module, the raw material preheating influence analysis module, and the suspension calciner calcination control module.

[0045] The raw material basic information collection module is used to divide the calcination process in the target suspension calciner into each collection time point according to a preset duration, and then collect the raw material basic information corresponding to the target suspension calciner at each collection time point.

[0046] In a specific embodiment, the basic information of the raw materials corresponding to the target suspension calciner includes the suspension height of each raw material, the volume of each raw material, the total number of raw materials, the number of suspended raw materials, and the carbon dioxide concentration.

[0047] It should be noted that the volume of each raw material is the volume corresponding to each suspended raw material.

[0048] In another specific embodiment, the basic information of the raw materials corresponding to the target suspension calciner at each acquisition time point is collected. The specific collection process is as follows:

[0049] The target suspension calciner corresponding to each acquisition time point is scanned by an X-ray fluoroscopy scanner to obtain the image of the target suspension calciner corresponding to each acquisition time point. Then, the suspension height, the volume corresponding to each raw material, the number of suspended raw materials, and the volume of unsuspended raw materials of each raw material in the target suspension calciner at each acquisition time point are obtained from the image of the target suspension calciner corresponding to each acquisition time point.

[0050] Based on the volume of each raw material in the target suspension calciner at each acquisition time point, the average volume of the raw materials corresponding to the target suspension calciner at each acquisition time point is obtained. Then, the volume of the unsuspended raw materials in the target suspension calciner at each acquisition time point is divided by the average volume of the raw materials to obtain the number of unsuspended raw materials corresponding to the target suspension calciner at each acquisition time point. The number of unsuspended raw materials corresponding to the target suspension calciner at each acquisition time point and the number of suspended raw materials are accumulated to obtain the total number of raw materials corresponding to the target suspension calciner at each acquisition time point.

[0051] The concentration of carbon dioxide corresponding to the gas outlet of the target suspension calciner at each acquisition time point is collected by an infrared carbon dioxide gas sensor to obtain the concentration of carbon dioxide corresponding to the gas outlet of the target suspension calciner at each acquisition time point, and it is used as the concentration of carbon dioxide in the target suspension calciner at each acquisition time point.

[0052] The raw material suspension state analysis module is used to analyze the raw material suspension state coefficient corresponding to the target suspension calciner at each acquisition time point according to the basic information of the raw materials corresponding to the target suspension calciner at each acquisition time point.

[0053] In a specific embodiment, the raw material suspension state coefficient corresponding to the target suspension calciner at each acquisition time point is analyzed. The specific analysis process is as follows: The reference density of the raw materials is obtained from the suspension calcination management database, and then the weight of each raw material in the target suspension calciner at each acquisition time point is calculated according to the volume of each raw material in the target suspension calciner at each acquisition time point.

[0054] Obtain the air supply pressure corresponding to the target suspension calciner at each collection time point from the control center of the suspension calciner, and then compare the weights and air supply pressures corresponding to each raw material in the target suspension calciner at each collection time point with the reference suspension heights corresponding to the weights of each raw material stored in the suspension calcination management database under each air supply pressure, so as to obtain the reference suspension heights corresponding to each raw material in the target suspension calciner at each collection time point, denoted as H′ it where i represents the number corresponding to each raw material, i = 1, 2......n, and t represents the number corresponding to each collection time point, t = 1, 2......p.

[0055] According to the calculation formula obtain the raw material suspension state coefficient corresponding to the target suspension calciner at each collection time point where H it represents the suspension height of the i-th raw material in the target suspension calciner at the t-th collection time point, N t ′ represents the number of suspended raw materials in the target suspension calciner at the t-th collection time point, N t represents the total number of raw materials corresponding to the target suspension calciner at the t-th collection time point, and ε1 and ε2 are the weight factors corresponding to the set raw material suspension height and the number of suspended raw materials respectively.

[0056] The embodiment of the present invention analyzes the suspension state of the raw materials in the target suspension calciner, provides a reliable guarantee for the subsequent analysis of raw material suspension control, effectively guarantees the accuracy and flexibility of the air supply pressure in the suspension calciner, and greatly guarantees the best suspension state and calcination effect of the raw materials.

[0057] The suspension control module of the suspension calciner is used to analyze the suspension control information corresponding to the target suspension calciner at each collection time point, and then perform suspension control on the target suspension calciner at each collection time point.

[0058] In a specific embodiment, the analysis of the suspension control information corresponding to the target suspension calciner at each collection time point is as follows: S1. Compare the raw material suspension state coefficient corresponding to the target suspension calciner at each collection time point with the standard raw material suspension state coefficient interval stored in the suspension calcination management database.

[0059] S2. If the coefficient of the raw material suspension state corresponding to the target suspension calciner at a certain collection time point is greater than the upper limit of the standard raw material suspension state compliance coefficient range, it is determined that the air supply pressure corresponding to the target suspension calciner at this collection time point is high. Furthermore, it is necessary to lower the air supply pressure corresponding to the target suspension calciner at this collection time point. At the same time, obtain the difference in the raw material suspension state coefficient corresponding to the target suspension calciner at this collection time point, and compare it with the difference in the raw material suspension state compliance coefficient corresponding to each air supply pressure adjustment value stored in the suspension calcination management database to obtain the air supply pressure adjustment value corresponding to the target suspension calciner at this collection time point.

[0060] As mentioned above, the difference in the raw material suspension state coefficient corresponding to the target suspension calciner at this collection time point is the difference between the coefficient of the raw material suspension state corresponding to the target suspension calciner at this collection time point and the upper limit of the standard raw material suspension state compliance coefficient range.

[0061] S3. If the coefficient of the raw material suspension state corresponding to the target suspension calciner at a certain collection time point is within the standard raw material suspension state coefficient range, it is determined that the air supply pressure corresponding to the target suspension calciner at this collection time point is normal, and no suspension control is performed.

[0062] S4. If the coefficient of the raw material suspension state corresponding to the target suspension calciner at a certain collection time point is less than the lower limit of the standard raw material suspension state coefficient range, it is determined that the air supply pressure corresponding to the target suspension calciner at this collection time point is low. Furthermore, it is necessary to increase the air supply pressure corresponding to the target suspension calciner at this collection time point, and according to the analysis method in step S2, obtain the air supply pressure adjustment value corresponding to the target suspension calciner at this collection time point.

[0063] S5. According to the analysis methods in steps S1 to S4, obtain the air supply pressure adjustment methods and air supply pressure adjustment values corresponding to the target suspension calciner at each collection time point, where the air supply pressure adjustment methods include lowering the air supply pressure and increasing the air supply pressure, and record the air supply pressure adjustment methods and air supply pressure adjustment values corresponding to the target suspension calciner at each collection time point as the suspension control information corresponding to the target suspension calciner at each collection time point.

[0064] The raw material preheating information collection module is used to collect the preheating temperature of each raw material after the raw material preheating is completed.

[0065] In a specific embodiment, the collection of the preheating temperature of each raw material is as follows: after the raw material preheating is completed, collect the thermal image of the raw material in the preheater through an infrared thermal imager, and then obtain the hue, brightness, and saturation corresponding to each raw material and mark them as 、 and .

[0066] According to the calculation formula , the color state coefficients corresponding to the preheating of each raw material are obtained , where , , are the hue, lightness, and saturation of the thermal image corresponding to the standard preheating temperature of the set raw material, , , are the set hue, lightness, and saturation respectively.

[0067] Compare the color state coefficients corresponding to each raw material with the color state coefficients corresponding to the set preheating temperatures to obtain the preheating temperatures corresponding to each raw material.

[0068] The raw material preheating impact analysis module is used to analyze the raw material preheating impact factors according to the preheating temperatures of each raw material.

[0069] In a specific embodiment, the raw material preheating impact factors are analyzed. The specific analysis process is as follows: Substitute the preheating temperatures of each raw material into the calculation formula to obtain the raw material preheating impact factor δ, where YT is the standard raw material preheating temperature stored in the suspension calcination management database, YT i , YT i+1 represent the preheating temperatures corresponding to the i-th and (i + 1)-th raw materials respectively, and η1 and η2 are the weight factors corresponding to the qualified raw material preheating temperature and the uniform raw material preheating temperature respectively.

[0070] Through the analysis of the raw material preheating impact factors in the embodiments of the present invention, the impact of the raw material preheating results on the raw material calcination is accurately shown, improving the accuracy of the subsequent analysis results of the raw material calcination temperature and duration.

[0071] The raw material initial information acquisition module is used to acquire the raw material initial information corresponding to the target suspension calciner.

[0072] In a specific embodiment, the raw material initial information corresponding to the target suspension calciner includes the initial carbon dioxide concentration, the initial average volume of the raw material, and the total initial number of raw materials.

[0073] In another specific embodiment, the raw material initial information corresponding to the target suspension calciner is acquired. The specific acquisition process is as follows: Obtain the total number of preheated raw materials and the volume corresponding to each raw material after preheating from the thermal image of the raw material in the preheater, and use them as the total initial number of raw materials and the initial volume corresponding to each raw material of the target suspension calciner. Then, calculate the average value of the initial volumes of each raw material corresponding to the target suspension calciner to obtain the initial average volume of the raw material corresponding to the target suspension calciner.

[0074] Collect the carbon dioxide concentration at the gas outlet of the target suspension calciner before calcination through a carbon dioxide gas sensor, and use it as the initial carbon dioxide concentration corresponding to the target suspension calciner.

[0075] A raw material calcination state analysis module for analyzing the raw material calcination state coefficients corresponding to the target suspension calciner at each acquisition time point.

[0076] In a specific embodiment, analyzing the raw material calcination state coefficients corresponding to the target suspension calciner at each acquisition time point, the specific analysis process is as follows: Obtain the calcination temperature corresponding to the target suspension calciner at each acquisition time point from the suspension calciner control center, and at the same time obtain the calcination duration corresponding to the target suspension calciner at each acquisition time point. At the same time, based on the volume of each raw material corresponding to the target suspension calciner at each acquisition time point, obtain the average raw material volume corresponding to the target suspension calciner at each acquisition time point.

[0077] Compare the calcination temperature corresponding to the target suspension calciner at each acquisition time point with the reduction amount of the reference raw material volume corresponding to each initial raw material volume and quantity stored in the suspension calcination management database at each calcination temperature and calcination duration, to obtain the reduction amount of the reference raw material volume corresponding to the target suspension calciner at each acquisition time point, and denote it as ;

[0078] Analyze the reference growth quantity and reference carbon dioxide increment of the raw materials corresponding to the target suspension calciner at each acquisition time point according to the analysis method of the reduction amount of the reference raw material volume corresponding to the target suspension calciner at each acquisition time point, and denote them as and ;

[0079] Among the above, to obtain the reference growth quantity and reference carbon dioxide increment of the raw materials corresponding to the target suspension calciner at each acquisition time point, the specific acquisition process is as follows: Compare the calcination temperature corresponding to the target suspension calciner at each acquisition time point with the reference growth quantity of the raw materials corresponding to each initial raw material volume and quantity stored in the suspension calcination management database at each calcination temperature and calcination duration, to obtain the reference growth quantity of the raw materials corresponding to the target suspension calciner at each acquisition time point.

[0080] Compare the calcination temperature corresponding to the target suspension calciner at each acquisition time point with the reference carbon dioxide increment corresponding to each initial raw material volume and quantity stored in the suspension calcination management database at each calcination temperature and calcination duration, to obtain the reference carbon dioxide increment corresponding to the target suspension calciner at each acquisition time point.

[0081] According to the calculation formula , obtain the raw material calcination state coefficient α corresponding to the target suspension calciner at each acquisition time point t , where, Ct-1 , V t-1 , N t-1 respectively represent the carbon dioxide concentration, average volume of raw materials, and total quantity of raw materials corresponding to the target suspension calciner at the (t - 1)-th acquisition time point, C t , V t , N t respectively represent the carbon dioxide concentration, average volume of raw materials, and total quantity of raw materials corresponding to the target suspension calciner at the t-th acquisition time point, C0, V0, and N0 represent the initial carbon dioxide concentration, initial average volume of raw materials, and initial total quantity of raw materials corresponding to the target suspension calciner, and λ1, λ2, and λ3 respectively represent the weighting factors corresponding to the carbon dioxide concentration, average volume of raw materials, and total quantity of raw materials.

[0082] In the embodiment of the present invention, by analyzing the calcination state of the raw materials in the target suspension calciner, accurate and intuitive data are provided for the subsequent analysis and control of the calcination temperature and duration of the raw materials, realizing the real-time control of the calcination temperature in the suspension calciner and improving the calcination speed of the raw materials and the production quality of powdered lime.

[0083] The suspension calciner calcination control module is used to analyze the calcination control information corresponding to the target suspension calciner at each acquisition time point, and then control the calcination of the target suspension calciner at each acquisition time point.

[0084] In a specific embodiment, analyzing the calcination control information corresponding to the target suspension calciner at each acquisition time point, the specific analysis steps are as follows: A1. Compare the raw material calcination state coefficient corresponding to the target suspension calciner at each acquisition time point with the standard raw material calcination state coefficient range stored in the suspension calcination management database.

[0085] A2. If the raw material calcination state coefficient corresponding to the target suspension calciner at a certain acquisition time point is greater than the upper limit value of the standard raw material calcination state coefficient range, it is determined that the calcination temperature corresponding to the target suspension calciner at this acquisition time point is high. Then, it is necessary to lower the calcination temperature corresponding to the target suspension calciner at this acquisition time point, and calculate the difference in the raw material calcination state coefficient corresponding to the target suspension calciner at this acquisition time point. Thus, compare the difference in the raw material calcination state coefficient corresponding to the target suspension calciner at this acquisition time point with the differences in the raw material calcination state coefficients corresponding to each calcination temperature adjustment value and calcination duration stored in the suspension calcination management database to obtain the calcination temperature adjustment value and calcination duration corresponding to the target suspension calciner at this acquisition time point.

[0086] A3. If the raw material calcination state coefficient corresponding to the target suspension calciner at a certain acquisition time point is within the standard raw material calcination state coefficient range, it is determined that the calcination temperature corresponding to the target suspension calciner at this acquisition time point is normal and no calcination control is required.

[0087] A4. If the raw material calcination state coefficient corresponding to the target suspension calciner at a certain collection time point is greater than the upper limit of the standard raw material calcination state coefficient range, it is determined that the calcination temperature of the target suspension calciner at this collection time point is low. Then, it is necessary to increase the calcination temperature of the target suspension calciner at this collection time point, and according to the analysis method in step A2, analyze and obtain the calcination temperature adjustment value and calcination duration corresponding to the target suspension calciner at this collection time point.

[0088] A5. According to the analysis methods in steps A1 to A4, analyze and obtain the calcination temperature adjustment method, calcination temperature adjustment value, and calcination duration corresponding to the target suspension calciner at each collection time point, where the calcination temperature adjustment method includes decreasing and increasing the calcination temperature, and record the calcination temperature adjustment value and calcination duration corresponding to the target suspension calciner at each collection time point as the calcination control information corresponding to the target suspension calciner at each collection time point.

[0089] The suspension calcination management database is used to store the reference density of the raw material, the standard raw material preheating temperature, and the optimal suspension height corresponding to each raw material weight, store the standard raw material suspension state coefficient range, the standard raw material calcination state coefficient range, the reference suspension height corresponding to each raw material weight under each air supply pressure, the difference in the raw material suspension state compliance coefficient corresponding to each air supply pressure adjustment value, and the difference in the raw material calcination state coefficient corresponding to each calcination temperature adjustment value and calcination duration, store the reduction amount of the raw material reference volume, the reference growth quantity of the raw material, and the reference carbon dioxide increment corresponding to each initial raw material volume and quantity under each calcination temperature and calcination duration.

[0090] Through the analysis and control of the suspension and calcination states of the raw materials in the target suspension calciner, the embodiments of the present invention solve the problems that occur in current manual control, realize the intelligent and automated control of the suspension calcination of powdered lime, effectively ensure the effect and efficiency of the powdered lime production process, and at the same time improve the production quality of powdered lime.

[0091] The above content is only an example and explanation of the structure of the present invention. Those skilled in the art of this technology can make various modifications or supplements to the described specific embodiments or use similar methods for substitution, as long as they do not deviate from the structure of the invention or exceed the scope defined by this claims, they should all fall within the protection scope of the present invention.

Claims

1. An intelligent control system for suspended calcination of powdered lime based on the Internet of Things, characterized in that, Including: A raw material basic information acquisition module that divides the calcination process in the target suspension calciner into each acquisition time point according to a preset duration, and then acquires the basic information of the raw materials corresponding to the target suspension calciner at each acquisition time point; Raw material suspension state analysis module, which analyzes the raw material suspension state coefficients corresponding to the target suspension calciner at each acquisition time point according to the basic information of the raw materials corresponding to the target suspension calciner at each acquisition time point for analysis; A suspension control module for the suspension calciner that analyzes the suspension control information corresponding to the target suspension calciner at each acquisition time point, and then performs suspension control on the target suspension calciner at each acquisition time point; A raw material preheating information acquisition module that acquires the preheating temperature of each raw material when the raw material preheating is completed; A raw material preheating influence analysis module that analyzes the preheating influence factors of the raw materials according to the preheating temperatures of the raw materials; A raw material initial information acquisition module that acquires the initial information of the raw materials corresponding to the target suspension calciner; A raw material calcination state analysis module that analyzes the raw material calcination state coefficients corresponding to the target suspension calciner at each acquisition time point; A calcination control module for the suspension calciner that analyzes the calcination control information corresponding to the target suspension calciner at each acquisition time point, and then controls the calcination of the target suspension calciner at each acquisition time point; The specific analysis process is as follows: Obtain the reference density of the raw materials from the suspension calcination management database, and then calculate the weight of each raw material according to the volume of each raw material in the target suspension calciner at each acquisition time point; Obtain the air supply pressure corresponding to the target suspension calciner at each collection time point from the control center of the suspension calciner, and then compare the weight and air supply pressure corresponding to each raw material with the reference suspension height corresponding to the weight of each raw material stored in the suspension calcination management database at each air supply pressure, so as to obtain the reference suspension height corresponding to each raw material in the target suspension calciner at each collection time point , where i represents the number corresponding to each raw material, , and t represents the number corresponding to each collection time point, ; , represents the suspension height corresponding to the i-th raw material in the target suspension calciner at the t-th acquisition time point, represents the number of suspended raw materials in the target suspension calciner at the t-th acquisition time point, represents the total number of raw materials corresponding to the target suspension calciner at the t-th acquisition time point, , are the weight factors corresponding to the set suspension height and the number of suspended raw materials respectively.

2. The intelligent control system for suspended calcination of powdered lime based on the Internet of Things according to claim 1, wherein: The basic information of the raw materials corresponding to the target suspension calciner includes the suspension height of each raw material, the volume of each raw material, the total number of raw materials, the number of suspended raw materials, and the carbon dioxide concentration.

3. The intelligent control system for suspended calcination of powdered lime based on the Internet of Things according to claim 1, characterized in that: The analysis of the suspension control information corresponding to the target suspension calciner at each acquisition time point is specifically carried out according to the following steps: S1. Compare the raw material suspension state coefficients corresponding to the target suspension calciner at each acquisition time point with the standard raw material suspension state coefficient range stored in the suspension calcination management database; S2. If the raw material suspension state compliance coefficient corresponding to the target suspension calciner at a certain acquisition time point is greater than the upper limit value of the standard raw material suspension state compliance coefficient range, it is determined that the air supply pressure corresponding to the target suspension calciner at this acquisition time point is high, and then the air supply pressure corresponding to the target suspension calciner at this acquisition time point needs to be lowered. At the same time, obtain the difference in the raw material suspension state coefficients corresponding to the target suspension calciner at this acquisition time point, and compare it with the differences in the raw material suspension state compliance coefficients corresponding to each air supply pressure adjustment value stored in the suspension calcination management database to obtain the air supply pressure adjustment value corresponding to the target suspension calciner at this acquisition time point; S3. If the raw material suspension state coefficient corresponding to the target suspension calciner at a certain acquisition time point is within the standard raw material suspension state coefficient range, it is determined that the air supply pressure corresponding to the target suspension calciner at this acquisition time point is normal, and no suspension control is performed; S4. If the raw material suspension state coefficient corresponding to the target suspension calciner at a certain acquisition time point is less than the lower limit value of the standard raw material suspension state coefficient range, it is determined that the air supply pressure corresponding to the target suspension calciner at this acquisition time point is low, and then the air supply pressure corresponding to the target suspension calciner at this acquisition time point needs to be increased, and according to the analysis method in step S2, obtain the air supply pressure adjustment value corresponding to the target suspension calciner at this acquisition time point; S5. According to the analysis methods in steps S1 to S4, obtain the air supply pressure adjustment method and the air supply pressure adjustment value corresponding to the target suspension calciner at each acquisition time point, where the air supply pressure adjustment method includes lowering the air supply pressure and raising the air supply pressure, and record the air supply pressure adjustment method and the air supply pressure adjustment value corresponding to the target suspension calciner at each acquisition time point as the suspension control information corresponding to the target suspension calciner at each acquisition time point.

4. The intelligent control system for suspended calcination of powdered lime based on the Internet of Things according to claim 1, characterized in that: The analysis of the influencing factors of the preheating of the raw materials is as follows: Substitute the preheating temperatures of each raw material into the calculation formula to obtain the preheating influence factor of the raw material , where is the standard raw material preheating temperature stored in the suspension calcination management database, , respectively represent the preheating temperatures corresponding to the i-th and (i + 1)-th raw materials, , are the weight factors corresponding to the qualified preheating temperature of the raw material and the uniform preheating temperature of the raw material set respectively.

5. An intelligent control system for suspended calcination of powdered lime based on the Internet of Things according to claim 1, characterized in that: The initial raw material information corresponding to the target suspension calciner includes the initial carbon dioxide concentration, the initial average volume of the raw materials, and the total initial quantity of the raw materials.

6. The intelligent control system for suspended calcination of powdered lime based on the Internet of Things according to claim 5, characterized in that: The analysis of the raw material calcination state coefficient corresponding to the target suspension calciner at each acquisition time point is as follows: Obtain the calcination temperature corresponding to the target suspension calciner at each acquisition time point from the suspension calciner control center, and at the same time obtain the calcination duration corresponding to the target suspension calciner at each acquisition time point. At the same time, based on the volume of each raw material corresponding to the target suspension calciner at each acquisition time point, obtain the average volume of the raw materials corresponding to the target suspension calciner at each acquisition time point; Compare the calcination temperature corresponding to the target suspension calciner at each collection time point with the reduction amount of the reference volume of the raw materials corresponding to each initial raw material volume and quantity stored in the suspension calcination management database at each calcination temperature and calcination duration, to obtain the reduction amount of the reference volume of the raw materials corresponding to the target suspension calciner at each collection time point, and record it as ; Analyze the raw material reference growth quantity and reference carbon dioxide increment corresponding to the target suspension calciner at each collection time point according to the analysis method of the raw material reference volume reduction amount corresponding to the target suspension calciner at each collection time point, and record them as and ; According to the calculation formula , the raw material calcination state coefficient corresponding to the target suspension calciner at each acquisition time point is obtained , where , , respectively represent the carbon dioxide concentration, average raw material volume, and total raw material quantity corresponding to the target suspension calciner at the (t - 1)-th acquisition time point , , respectively represent the carbon dioxide concentration, average raw material volume, and total raw material quantity corresponding to the target suspension calciner at the t-th acquisition time point , , represent the initial carbon dioxide concentration, initial average raw material volume, and initial total raw material quantity corresponding to the target suspension calciner , , respectively represent the weight factors corresponding to the carbon dioxide concentration, average raw material volume, and total raw material quantity 7. An intelligent control system for suspended calcination of powdered lime based on the Internet of Things according to claim 6, characterized in that: The analysis of the calcination control information corresponding to the target suspension calciner at each acquisition time point is as follows: A1. Compare the raw material calcination state coefficient corresponding to the target suspension calciner at each acquisition time point with the standard raw material calcination state coefficient range stored in the suspension calcination management database; A2. If the raw material calcination state coefficient corresponding to the target suspension calciner at a certain acquisition time point is greater than the upper limit value of the standard raw material calcination state coefficient range, it is determined that the calcination temperature corresponding to the target suspension calciner at this acquisition time point is high. Furthermore, it is necessary to lower the calcination temperature corresponding to the target suspension calciner at this acquisition time point, and calculate the difference in the raw material calcination state coefficient corresponding to the target suspension calciner at this acquisition time point. Then, compare the difference in the raw material calcination state coefficient corresponding to the target suspension calciner at this acquisition time point with the differences in the raw material calcination state coefficients corresponding to the calcination temperature adjustment values and the calcination durations stored in the suspension calcination management database to obtain the calcination temperature adjustment value and the calcination duration corresponding to the target suspension calciner at this acquisition time point; A3. If the raw material calcination state coefficient corresponding to the target suspension calciner at a certain acquisition time point is within the standard raw material calcination state coefficient range, it is determined that the calcination temperature corresponding to the target suspension calciner at this acquisition time point is normal and no calcination control is required; A4. If the raw material calcination state coefficient corresponding to the target suspension calciner at a certain acquisition time point is less than the lower limit value of the standard raw material calcination state coefficient range, it is determined that the calcination temperature corresponding to the target suspension calciner at this acquisition time point is low. Furthermore, it is necessary to raise the calcination temperature corresponding to the target suspension calciner at this acquisition time point, and according to the analysis method in step A2, analyze and obtain the calcination temperature adjustment value and the calcination duration corresponding to the target suspension calciner at this acquisition time point; A5. According to the analysis methods in steps A1 to A4, analyze and obtain the calcination temperature adjustment method, the calcination temperature adjustment value, and the calcination duration corresponding to the target suspension calciner at each acquisition time point. The calcination temperature adjustment method includes lowering and raising the calcination temperature, and record the calcination temperature adjustment value and the calcination duration corresponding to the target suspension calciner at each acquisition time point as the calcination control information corresponding to the target suspension calciner at each acquisition time point.

8. An intelligent control system for suspended calcination of powdered lime based on the Internet of Things according to claim 1, characterized in that: The suspension calcination management database stores the reference density of the raw material, the standard raw material preheating temperature, and the optimal suspension height corresponding to each raw material weight, stores the standard raw material suspension state coefficient range, the standard raw material calcination state coefficient range, the reference suspension height corresponding to each raw material weight under each air supply pressure, the raw material suspension state compliance coefficient difference corresponding to each air supply pressure adjustment value, and the raw material calcination state coefficient difference corresponding to each calcination temperature adjustment value and calcination duration, and stores the raw material reference volume reduction amount, the raw material reference growth quantity, and the reference carbon dioxide increment corresponding to each initial raw material volume and quantity under each calcination temperature and calcination duration.

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