Preheating temperature control system and method for coal gangue roasting

Abstract

The invention provides a preheating temperature control system and method for coal gangue roasting, and belongs to the technical field of temperature control. Parameter sensors are configured in a preheating device and a roasting furnace, and preheating original data and roasting original data are obtained through monitoring; the data processing module is used for standardizing the preheating original data and the roasting original data to obtain standard preheating data and standard roasting data; the temperature curve module is used for constructing a multi-section temperature curve according to the physical properties and roasting requirements of the coal gangue; the closed-loop control module is used for generating a temperature control strategy according to the deviation between the standard preheating data and the standard roasting data and the multi-section temperature curve on the basis of a PID control model; and the feedback module is used for executing the temperature control strategy and carrying out feedback adjustment on the PID control model according to the controlled actual temperature data. And temperature adjustment is optimized through closed-loop PID control, and the precision and efficiency of the preheating and roasting process are improved.

Description

Technical Field

[0001] The invention relates to the technical field of temperature control, and in particular to a preheating temperature control system and method for gangue roasting. Background Art

[0002] The roasting activation of coal gangue determines the difficulty of subsequent desiliconization. Within a certain temperature range, after a certain period of roasting, the crystal form inside the coal gangue can be transformed into a crystal form that is easier to desiliconize, thereby maximizing the desiliconization efficiency. Different gangues have different calorific values. During the roasting process, it is easy to make the temperature difficult to control, resulting in poor crystal transformation and a decrease in desiliconization rate. To solve this problem, a preheating device can be added before roasting.

[0003] After the preheating device is added, the volatile matter in the gangue is extracted through the control of the preheating stage. In the roasting stage, the temperature is controlled by the external heat source to achieve precise temperature control and realize the crystal transformation at a specific temperature. In the roasting stage, since there are no volatiles in the gangue to participate in the combustion, the external heat source is used for heating, and the roasting temperature of the gangue is easier to control. The temperature in the roasting stage is controlled at 900-1200 degrees. The transformation of kaolinite to mullite in the gangue will discharge a large amount of amorphous silicon dioxide, which is easy to remove in the subsequent desiliconization, which is beneficial to increase the aluminum-silicon ratio. If the temperature is not accurate, the amorphous silicon discharged at too high a temperature will combine with free alumina to form mullite. If mullite is generated, silicon is difficult to remove and the aluminum-silicon ratio is not easy to increase. At this time, precise temperature control is particularly important.

[0004] Therefore, the present invention proposes a preheating temperature control system and method for gangue roasting. Summary of the invention

[0005] The present invention provides a preheating temperature control system and method for gangue roasting, which are used to monitor data through sensors, construct a multi-segment temperature curve after standardized processing, adjust the temperature in combination with a PID control model, optimize the preheating and roasting temperatures during the gangue roasting process, and continuously adjust the control strategy through a feedback mechanism to improve the temperature control accuracy and efficiency.

[0006] In one aspect, the present invention provides a preheating temperature control system for gangue roasting, comprising: Data acquisition module: parameter sensors are configured in the preheating device and roasting furnace to monitor and obtain the original preheating data and the original roasting data; Data processing module: standardize the original preheating data and the original roasting data to obtain standard preheating data and standard roasting data; Temperature curve module: construct multi-stage temperature curves according to the physical properties and roasting requirements of coal gangue; Closed-loop control module: Based on the PID control model, the temperature control strategy is generated according to the deviation between the standard preheating data and the standard roasting data and the multi-stage temperature curve; Feedback module: executes the temperature control strategy and makes feedback adjustments to the PID control model based on the actual temperature data after control.

[0007] On the other hand, the data acquisition module comprises: Position selection unit: select multiple preheating sensor installation positions at the inlet, outlet and middle section of the preheating device according to the preset parameter type; select multiple roasting sensor installation positions in the roasting stage area of ​​the roasting furnace; Sensor installation unit: configure a unique first number for all sensors, configure a unique second number for the preheating sensor installation position, configure a unique third number for the baking sensor installation position, and complete the installation and configuration of the sensor based on the one-to-one matching relationship between the sensor and the installation position; The preheating raw data and roasting raw data during the roasting process are monitored based on sensors.

[0008] On the other hand, the data processing module includes: Data cleaning unit: cleaning the preheating original data and the roasting original data to obtain first preheating data and first roasting data; Data standardization unit: obtaining preheating statistical features and preheating roasting features of the first preheating data and the first roasting data respectively according to feature engineering; Based on the standardized formula, the standard preheating data and standard roasting data are obtained by combining the preheating statistical characteristics and the preheating roasting characteristics.

[0009] On the other hand, the temperature curve module includes: Temperature segmentation unit: Based on the preset segmented temperature control, the temperature range is divided into low temperature segment, medium temperature segment and high temperature segment. The low temperature segment is realized based on the preheating device, and the temperature is controlled at 200-800 degrees. The medium temperature segment and high temperature segment are realized based on the roasting furnace, and the temperature is controlled at 900-1300 degrees. Target determination unit: Determine the temperature range characteristics of low temperature section, medium temperature section and high temperature section according to the physical properties of coal gangue and roasting requirements; Temperature curve unit: Construct multi-segment temperature curves based on temperature segmentation and corresponding temperature range characteristics: ;in, represents the initial temperature of coal gangue, Indicates the target temperature at the end of the low temperature stage. represents the preset low temperature heating rate coefficient of coal gangue, Indicates the heating time of coal gangue, Indicates the preset end time of the low temperature section. Indicates the target temperature at the end of the medium temperature section. represents the preset medium temperature heating rate coefficient of coal gangue, Indicates the preset end time of the medium temperature section. Indicates the target temperature at the end of the high temperature stage. represents the preset high temperature heating rate coefficient of coal gangue, Indicates the preset end time of the high temperature section. Represents a multi-segment temperature curve.

[0010] On the other hand, the closed-loop control module comprises: Actual temperature curve unit: according to the standard preheating data and the standard roasting data, the standard preheating temperature data and the standard roasting temperature data are obtained and spliced ​​in a time logical sequence to generate the standard temperature data, and the preset parameter group is input into the preset temperature model to generate the preset temperature curve; The preset temperature model and the standard temperature data are fitted, and the fitting deviation is obtained as follows: ;in, represents the fitting deviation, represents the i-th time node, n represents the total number of n time nodes of the standard temperature data, Indicates a preset parameter group. Indicates the temperature value predicted by the preset temperature curve at the i-th time node, Represents the standard temperature data at the i-th time node; The fitting deviation is partially derived and set to zero, the optimal parameter group is solved, and the actual temperature curve is generated based on the optimal parameter group.

[0011] On the other hand, the closed-loop control module further includes: Curve deviation unit: compare the actual temperature curve with multiple temperature curves based on time nodes to obtain the time-curve deviation function: ;in, represents the time-curve deviation function, Represents a multi-stage temperature curve, Represents the actual temperature curve, ( ) represents the logarithmic function, Indicates that there are m time nodes of the curve. Represents the mean value of the multi-segment temperature curve, represents the curve mean of the actual temperature curve, Indicates the maximum value of multiple temperature curves. Indicates the minimum value of the actual temperature curve; Control unit: generating constraint conditions based on the multi-stage temperature curve and the standard parameter threshold, inputting the standard preheating data, the standard roasting data and the preset PID parameters into the PID control model, and generating a first control model; By adjusting the controller output power of the first control model, the deviation integral of the controller output power and the constraint condition is minimized to obtain a first control signal, and the first control signal is input into the first control model to obtain the deviation value of the first control model and the constraint condition, and the first control signal is adjusted to generate an optimal control signal; Temperature strategy unit: distributes the optimal control signal according to the parameter type to obtain the temperature control strategy corresponding to all parameters.

[0012] On the other hand, the feedback module comprises: Comparison unit: executes temperature control strategy, obtains actual temperature data of preheating device and roasting furnace in real time, and compares actual temperature data with temperature range characteristics; Feedback unit: If any actual temperature data is not within the temperature range of the corresponding temperature interval time period, it is determined that the temperature control does not meet the standard, and the model parameters of the PID control model are feedback-adjusted based on the actual temperature data, the corresponding temperature range and the two-way deviation, and the temperature control strategy is regenerated and executed.

[0013] In another aspect, the present invention provides a preheating temperature control method for gangue roasting, comprising: Step 1: Parameter sensors are configured in the preheating device and the roasting furnace to monitor and obtain the preheating raw data and the roasting raw data; Step 2: Standardize the preheating raw data and the roasting raw data to obtain standard preheating data and standard roasting data; Step 3: Construct a multi-stage temperature curve according to the physical properties and roasting requirements of the gangue; Step 4: Based on the PID control model, a temperature control strategy is generated according to the deviations of the standard preheating data and the standard roasting data from the multi-stage temperature curve; Step 5: Execute the temperature control strategy and make feedback adjustments to the PID control model based on the actual temperature data after control.

[0014] Compared with the prior art, the present invention has the following beneficial effects: The present invention provides a preheating temperature control system and method for gangue roasting, which are used to monitor data through sensors, construct a multi-segment temperature curve after standardized processing, adjust the temperature in combination with a PID control model, optimize the preheating and roasting temperatures during the gangue roasting process, and continuously adjust the control strategy through a feedback mechanism to improve the temperature control accuracy and efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0016] Figure 1 It is a structural schematic diagram of a preheating temperature control system for gangue roasting provided by an embodiment of the present invention; Figure 2 It is a flow chart of a preheating temperature control method for gangue roasting provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0017] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the drawings of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0018] Embodiment 1: like Figure 1 As shown, an embodiment of the present invention provides a preheating temperature control system for gangue roasting, comprising: Data acquisition module: parameter sensors are configured in the preheating device and roasting furnace to monitor and obtain the original preheating data and the original roasting data; Data processing module: standardize the original preheating data and the original roasting data to obtain standard preheating data and standard roasting data; Temperature curve module: construct multi-stage temperature curves according to the physical properties and roasting requirements of coal gangue; Closed-loop control module: Based on the PID control model, the temperature control strategy is generated according to the deviation between the standard preheating data and the standard roasting data and the multi-stage temperature curve; Feedback module: executes the temperature control strategy and makes feedback adjustments to the PID control model based on the actual temperature data after control.

[0019] In this embodiment, the preheating device is a device used to heat the raw materials before the roasting process, the purpose of which is to increase the temperature of the raw materials by heating so that the raw materials reach a state suitable for subsequent processing or reaction.

[0020] In this embodiment, during the preheating stage, the temperature is precisely controlled to be between 200 and 800 degrees, the atmosphere is precisely controlled, and all volatiles in the gangue are discharged, and the volatiles do not participate in combustion.

[0021] In this embodiment, during the roasting stage, the volatilization gas is burned in the roasting furnace to provide a heat source, and the roasting furnace is precisely temperature controlled at any point between 900-1300 degrees.

[0022] In this embodiment, the roasting furnace is an industrial equipment used for high-temperature heating treatment of raw materials, and is used in the roasting process of minerals, chemicals or other substances.

[0023] In this embodiment, the parameter sensor is a device used to monitor physical or chemical variables in real time, and converts the measured physical quantity (such as temperature, pressure, humidity, flow, concentration, etc.) into a signal used by the control system.

[0024] In this embodiment, the preheating raw data refers to real-time physical quantities related to the preheating process collected by parameter sensors in the preheating device.

[0025] In this embodiment, the raw roasting data refers to real-time physical quantities related to the roasting process collected by parameter sensors in the roasting furnace, such as temperature, pressure, gas concentration, etc.

[0026] In this embodiment, standardization is the process of converting data into a uniform scale or format to facilitate comparison, analysis or processing of data from different sources.

[0027] In this embodiment, standard preheating data refers to data that has been processed so that the original preheating data meets a certain unified standard or specification.

[0028] In this embodiment, the standard roasting data is the original roasting data that has been standardized by the data processing module.

[0029] In this embodiment, coal gangue is waste mined together with coal during the coal mining process, and is rock or other mineral impurities in the coal mine.

[0030] In this embodiment, physical properties refer to various natural characteristics and behaviors exhibited by a substance without changing its chemical composition, such as density, hardness, conductivity, etc.

[0031] In this embodiment, the roasting requirements refer to the specific process conditions such as temperature, time, atmosphere, etc. that the gangue or other materials need to achieve during the roasting process.

[0032] In this embodiment, the multi-stage temperature curve refers to a series of temperature change curves in different stages designed according to different processing stages, reaction requirements and physical properties of materials in an industrial process.

[0033] In this embodiment, the PID control model is a model for achieving precise control of a process, and is applied to automatic control of variables such as temperature, pressure, and flow in industrial control systems.

[0034] In this embodiment, the temperature control strategy refers to specific operational measures taken according to the temperature control requirements in combination with the actual situation of the system and the control model, so as to adjust and control the temperature of the system.

[0035] In this embodiment, the actual temperature data refers to the temperature value monitored in real time by the sensor during the roasting process or the preheating process.

[0036] The working principle and beneficial effects of the above technical solution are: through the sensor to collect data and standardize the processing, combined with the multi-stage temperature curve and PID control to generate an accurate temperature control strategy, to achieve accurate temperature control of the gangue roasting process. The closed-loop feedback mechanism optimizes the control effect, improves energy efficiency, stability and product quality.

[0037] Embodiment 2: Based on the above embodiment 1, the data acquisition module includes: Position selection unit: select multiple preheating sensor installation positions at the inlet, outlet and middle section of the preheating device according to the preset parameter type; select multiple roasting sensor installation positions in the roasting stage area of ​​the roasting furnace; Sensor installation unit: configure a unique first number for all sensors, configure a unique second number for the preheating sensor installation position, configure a unique third number for the baking sensor installation position, and complete the installation and configuration of the sensor based on the one-to-one matching relationship between the sensor and the installation position; The preheating raw data and roasting raw data during the roasting process are monitored based on sensors.

[0038] In this embodiment, the preset parameter type refers to the parameters that are set in advance to describe the operation of the system when designing and configuring the system, such as temperature, pressure, gas concentration, etc.

[0039] In this embodiment, the preheating sensor installation position refers to the sensor for monitoring the preheating device.

[0040] In this embodiment, the roasting sensor installation position refers to the sensor for monitoring the roasting furnace.

[0041] In this embodiment, the first number is a number used to uniquely identify all sensors.

[0042] In this embodiment, the second number is used to identify a unique number of the installation position of the preheating sensor.

[0043] In this embodiment, the third number is a unique number used to identify the installation position of the roasting sensor.

[0044] The working principle and beneficial effect of the above technical solution are: by accurately selecting the sensor installation position and configuring the number, the data collection during the preheating and roasting process is accurate. Monitoring the raw data through the sensor helps to improve the accuracy of the temperature control system, optimize the roasting process, and ensure product quality and energy efficiency.

[0045] Embodiment 3: Based on the above embodiment 1, the data processing module includes: Data cleaning unit: cleaning the preheating original data and the roasting original data to obtain first preheating data and first roasting data; Data standardization unit: obtaining preheating statistical features and preheating roasting features of the first preheating data and the first roasting data respectively according to feature engineering; Based on the standardized formula, the standard preheating data and standard roasting data are obtained by combining the preheating statistical characteristics and the preheating roasting characteristics.

[0046] In this embodiment, data cleaning refers to processing the original data to remove inaccurate, duplicate, missing or irrelevant data.

[0047] In this embodiment, the first preheated data is preheated original data after data cleaning.

[0048] In this embodiment, the first roasting data is raw roasting data after data cleaning.

[0049] In this embodiment, feature engineering refers to extracting, converting or creating meaningful features from raw data, such as standard deviation, mean, median, etc.

[0050] In this embodiment, the preheating statistical features are important statistical indicators extracted from the preheating raw data that describe the data distribution and characteristics.

[0051] In this embodiment, the preheating roasting characteristics are important statistical indicators extracted from the raw roasting data to describe the data distribution and characteristics.

[0052] In this embodiment, the normalization formula is a mathematical formula used to convert different features of data into a form with a unified standard.

[0053] The working principle and beneficial effects of the above technical solution are: removing noise through data cleaning, extracting statistical characteristics of preheating and roasting data through feature engineering, and then processing through standardized formulas to ensure the accuracy and consistency of the data, providing a reliable foundation for subsequent temperature control and optimization, and improving system accuracy and stability.

[0054] Embodiment 4: Based on the above embodiment 1, the temperature curve module includes: Temperature segmentation unit: Based on the preset segmented temperature control, the temperature range is divided into low temperature segment, medium temperature segment and high temperature segment. The low temperature segment is realized based on the preheating device, and the temperature is controlled at 200-800 degrees. The medium temperature segment and high temperature segment are realized based on the roasting furnace, and the temperature is controlled at 900-1300 degrees. Target determination unit: Determine the temperature range characteristics of low temperature section, medium temperature section and high temperature section according to the physical properties of coal gangue and roasting requirements; Temperature curve unit: Construct multi-segment temperature curves based on temperature segmentation and corresponding temperature range characteristics: ;in, represents the initial temperature of coal gangue, Indicates the target temperature at the end of the low temperature stage. represents the preset low temperature heating rate coefficient of coal gangue, Indicates the heating time of coal gangue, Indicates the preset end time of the low temperature section. Indicates the target temperature at the end of the medium temperature section. represents the preset medium temperature heating rate coefficient of coal gangue, Indicates the preset end time of the medium temperature section. Indicates the target temperature at the end of the high temperature stage. represents the preset high temperature heating rate coefficient of coal gangue, Indicates the preset end time of the high temperature section. Represents a multi-segment temperature curve.

[0055] In this embodiment, the preset segmented temperature control means dividing the temperature change process into different stages during the temperature control process.

[0056] In this embodiment, the low temperature stage is to first control the temperature in the roasting furnace within a lower range for a period of time to ensure that the coal gangue gradually adapts to the temperature change. In this embodiment, the medium temperature section is to gradually increase the temperature to the medium temperature range and continue to maintain it for a certain period of time to further promote the chemical reaction of the coal gangue. In this embodiment, the high temperature stage is to finally raise the temperature to a high temperature range and maintain a constant temperature until the roasting process is completed to ensure that the crystal transformation is fully carried out.

[0057] In this embodiment, the temperature interval characteristics refer to the temperature range corresponding to each temperature segment and its specific heating process requirements during the gangue heating process, such as: temperature range, target temperature, duration, etc.

[0058] In this embodiment, the preset low-temperature heating rate coefficient, the preset medium-temperature heating rate coefficient, and the preset high-temperature heating rate coefficient refer to the coefficients representing the rate of temperature rise in the low-temperature section, medium-temperature section, and high-temperature section, respectively, during the gangue heating process.

[0059] The working principle and beneficial effect of the above technical solution are: by dividing the temperature into low temperature, medium temperature and high temperature sections, and setting the temperature range and heating rate of each section according to the physical properties of coal gangue and roasting requirements, a multi-section temperature curve is constructed. This method ensures precise control of temperature changes, optimizes the roasting process of coal gangue, and improves energy efficiency and product quality.

[0060] Embodiment 5: Based on the above embodiment 1, the closed-loop control module includes: Actual temperature curve unit: according to the standard preheating data and the standard roasting data, the standard preheating temperature data and the standard roasting temperature data are obtained and spliced ​​in a time logical sequence to generate the standard temperature data, and the preset parameter group is input into the preset temperature model to generate the preset temperature curve; The preset temperature model and the standard temperature data are fitted, and the fitting deviation is obtained as follows: ;in, represents the fitting deviation, represents the i-th time node, n represents the total number of n time nodes of the standard temperature data, Indicates a preset parameter group. Indicates the temperature value predicted by the preset temperature curve at the i-th time node, Represents the standard temperature data at the i-th time node; The fitting deviation is partially derived and set to zero, the optimal parameter group is solved, and the actual temperature curve is generated based on the optimal parameter group.

[0061] In this embodiment, the time logic sequence refers to the sequence of each time node in the temperature curve.

[0062] In this embodiment, the standard temperature data refers to the data representing the entire roasting process formed by combining the standard preheating temperature data and the standard roasting temperature data.

[0063] In this embodiment, the preset parameter group is a set of parameters pre-set in the temperature model.

[0064] In this embodiment, the preset temperature model is a mathematical model used to describe the law of temperature change over time.

[0065] In this embodiment, the preset temperature curve is a preliminary temperature prediction curve generated by a preset temperature model according to an input preset parameter group.

[0066] In this embodiment, the fitting deviation is an indicator used to measure the difference between the model prediction value and the actual data.

[0067] In this embodiment, the optimal parameter set is a set of parameters obtained by minimizing the fitting deviation.

[0068] In this embodiment, the actual temperature curve The working principle and beneficial effect of the above technical solution are: by fitting the standard temperature data and the preset temperature model, calculating the fitting deviation and optimizing the parameter group, and finally generating the actual temperature curve. This method improves the accuracy of temperature prediction, ensures that the temperature control process is highly consistent with the requirements of coal gangue roasting, and improves the control effect and product quality.

[0069] Embodiment 6: Based on the above embodiment 5, the closed-loop control module further includes: Curve deviation unit: compare the actual temperature curve with multiple temperature curves based on time nodes to obtain the time-curve deviation function: ;in, represents the time-curve deviation function, Represents a multi-stage temperature curve, Represents the actual temperature curve, ( ) represents the logarithmic function, Indicates that there are m time nodes of the curve. Represents the mean value of the multi-segment temperature curve, represents the curve mean of the actual temperature curve, Indicates the maximum value of multiple temperature curves. Indicates the minimum value of the actual temperature curve; Control unit: generating constraint conditions based on the multi-stage temperature curve and the standard parameter threshold, inputting the standard preheating data, the standard roasting data and the preset PID parameters into the PID control model, and generating a first control model; By adjusting the controller output power of the first control model, the deviation integral of the controller output power and the constraint condition is minimized to obtain a first control signal, and the first control signal is input into the first control model to obtain the deviation value of the first control model and the constraint condition, and the first control signal is adjusted to generate an optimal control signal; Temperature strategy unit: distributes the optimal control signal according to the parameter type to obtain the temperature control strategy corresponding to all parameters.

[0070] In this embodiment, the time-curve deviation function is a mathematical tool for quantifying the difference between the actual temperature curve and the multiple temperature curves.

[0071] In this embodiment, the standard parameter threshold is a parameter used to set a target range or boundary value in the control system.

[0072] In this embodiment, the constraint condition refers to a restriction condition that needs to be complied with during the temperature control process.

[0073] In this embodiment, the preset PID parameters refer to the preset parameter values ​​used by the controller initially in the PID control system, such as proportional gain, integral gain, and breeze gain.

[0074] In this embodiment, the PID control model is a proportional-integral-differential control model, which is used in an automated control system to adjust the control output according to the system error (the difference between the actual value and the expected value) so that the system output (such as temperature, speed, etc.) is close to the expected value.

[0075] In this embodiment, the first control model is an initial model generated by inputting preset PID parameters into the PID control model.

[0076] In this embodiment, the controller output power refers to the output amount adjusted by the controller to achieve the target temperature curve.

[0077] In this embodiment, the deviation integral is a method used in the control system to measure and adjust the error between the system output and the target, and represents the total amount of the integral accumulated over time.

[0078] In this embodiment, the deviation value refers to the difference between the control signal and the target constraint condition.

[0079] In this embodiment, the optimal control signal The working principle and beneficial effect of the above technical solution are: by comparing the actual temperature curve with the multi-stage temperature curve, calculating the deviation and generating the control signal based on the PID control model. After optimizing the control signal, the optimal temperature control strategy is obtained to ensure accurate temperature regulation, improve the stability of the roasting process and product quality, and reduce the deviation.

[0080] Embodiment 7: Based on the above embodiment 4, the feedback module includes: Comparison unit: executes temperature control strategy, obtains actual temperature data of preheating device and roasting furnace in real time, and compares actual temperature data with temperature range characteristics; Feedback unit: If any actual temperature data is not within the temperature range of the corresponding temperature interval time period, it is determined that the temperature control does not meet the standard, and the model parameters of the PID control model are feedback-adjusted based on the actual temperature data, the corresponding temperature range and the two-way deviation, and the temperature control strategy is regenerated and executed.

[0081] In this embodiment, bidirectional deviation refers to the way a measurement deviates from a standard value, which includes two directions: positive deviation and reverse deviation. Positive deviation refers to the actual temperature exceeding the expected upper limit temperature range, and reverse deviation refers to the actual temperature being lower than the expected lower limit temperature range.

[0082] The working principle and beneficial effects of the above technical solution are: by comparing the actual temperature data with the preset temperature range in real time, if it is found that the temperature control does not meet the standards, timely feedback is given to adjust the PID control model parameters to ensure that the temperature control process continues to meet the requirements and improve the accuracy of temperature control and system stability.

[0083] Embodiment 8: like Figure 2 As shown, a preheating temperature control method for gangue roasting provided by an embodiment of the present invention includes: Step 1: Parameter sensors are configured in the preheating device and the roasting furnace to monitor and obtain the preheating raw data and the roasting raw data; Step 2: Standardize the preheating raw data and the roasting raw data to obtain standard preheating data and standard roasting data; Step 3: Construct a multi-stage temperature curve according to the physical properties and roasting requirements of the gangue; Step 4: Based on the PID control model, a temperature control strategy is generated according to the deviations of the standard preheating data and the standard roasting data from the multi-stage temperature curve; Step 5: Execute the temperature control strategy and make feedback adjustments to the PID control model based on the actual temperature data after control.

[0084] The working principle and beneficial effects of the above technical solution are: through the sensor to collect data and standardize the processing, combined with the multi-stage temperature curve and PID control to generate an accurate temperature control strategy, to achieve accurate temperature control of the gangue roasting process. The closed-loop feedback mechanism optimizes the control effect, improves energy efficiency, stability and product quality.

[0085] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A preheating temperature control system for coal gangue roasting, characterized in that: include: Data acquisition module: parameter sensors are configured in the preheating device and roasting furnace to monitor and obtain the original preheating data and the original roasting data; Data processing module: standardize the original preheating data and the original roasting data to obtain standard preheating data and standard roasting data; Temperature curve module: construct multi-stage temperature curves according to the physical properties and roasting requirements of coal gangue; Closed-loop control module: Based on the PID control model, the temperature control strategy is generated according to the deviation between the standard preheating data and the standard roasting data and the multi-stage temperature curve; Feedback module: executes the temperature control strategy and makes feedback adjustments to the PID control model based on the actual temperature data after control.

2. A preheating temperature control system for gangue roasting according to claim 1, characterized in that: The data acquisition module comprises: Position selection unit: select multiple preheating sensor installation positions at the inlet, outlet and middle section of the preheating device according to the preset parameter type; select multiple roasting sensor installation positions in the roasting stage area of ​​the roasting furnace; Sensor installation unit: configure a unique first number for all sensors, configure a unique second number for the preheating sensor installation position, configure a unique third number for the baking sensor installation position, and complete the installation and configuration of the sensor based on the one-to-one matching relationship between the sensor and the installation position; The preheating raw data and roasting raw data during the roasting process are monitored based on sensors.

3. A preheating temperature control system for gangue roasting according to claim 1, characterized in that: The data processing module comprises: Data cleaning unit: cleaning the preheating original data and the roasting original data to obtain first preheating data and first roasting data; Data standardization unit: obtaining preheating statistical features and preheating roasting features of the first preheating data and the first roasting data respectively according to feature engineering; Based on the standardized formula, the standard preheating data and standard roasting data are obtained by combining the preheating statistical characteristics and the preheating roasting characteristics.

4. A preheating temperature control system for gangue roasting according to claim 1, characterized in that: The temperature curve module comprises: Temperature segmentation unit: Based on the preset segmented temperature control, the temperature range is divided into low temperature segment, medium temperature segment and high temperature segment. The low temperature segment is realized based on the preheating device, and the temperature is controlled at 200-800 degrees. The medium temperature segment and high temperature segment are realized based on the roasting furnace, and the temperature is controlled at 900-1300 degrees. Target determination unit: Determine the temperature range characteristics of low temperature section, medium temperature section and high temperature section according to the physical properties of coal gangue and roasting requirements; Temperature curve unit: Construct multi-segment temperature curves based on temperature segmentation and corresponding temperature range characteristics: ;in, represents the initial temperature of coal gangue, Indicates the target temperature at the end of the low temperature stage. represents the preset low temperature heating rate coefficient of coal gangue, Indicates the heating time of coal gangue, Indicates the preset end time of the low temperature section. Indicates the target temperature at the end of the medium temperature section. represents the preset medium temperature heating rate coefficient of coal gangue, Indicates the preset end time of the medium temperature section. Indicates the target temperature at the end of the high temperature stage. represents the preset high temperature heating rate coefficient of coal gangue, Indicates the preset end time of the high temperature section. Represents multiple temperature curves.

5. A preheating temperature control system for gangue roasting according to claim 1, characterized in that: The closed-loop control module comprises: Actual temperature curve unit: according to the standard preheating data and the standard roasting data, the standard preheating temperature data and the standard roasting temperature data are obtained and spliced ​​in a time logical sequence to generate the standard temperature data, and the preset parameter group is input into the preset temperature model to generate the preset temperature curve; The preset temperature model and the standard temperature data are fitted, and the fitting deviation is obtained as follows: ;in, represents the fitting deviation, represents the i-th time node, n represents the total number of n time nodes of the standard temperature data, Indicates a preset parameter group. Indicates the temperature value predicted by the preset temperature curve at the i-th time node, Represents the standard temperature data at the i-th time node; The fitting deviation is partially derived and set to zero, the optimal parameter group is solved, and the actual temperature curve is generated based on the optimal parameter group.

6. A preheating temperature control system for gangue roasting according to claim 5, characterized in that: The closed-loop control module further includes: Curve deviation unit: compare the actual temperature curve with multiple temperature curves based on time nodes to obtain the time-curve deviation function: ;in, represents the time-curve deviation function, Represents a multi-stage temperature curve, Represents the actual temperature curve, ( ) represents the logarithmic function, Indicates that there are m time nodes of the curve. Represents the mean value of the multi-segment temperature curve, represents the curve mean of the actual temperature curve, Indicates the maximum value of multiple temperature curves. Indicates the minimum value of the actual temperature curve; Control unit: generating constraint conditions based on the multi-stage temperature curve and the standard parameter threshold, inputting the standard preheating data, the standard roasting data and the preset PID parameters into the PID control model, and generating a first control model; By adjusting the controller output power of the first control model, the deviation integral of the controller output power and the constraint condition is minimized to obtain a first control signal, and the first control signal is input into the first control model to obtain the deviation value of the first control model and the constraint condition, and the first control signal is adjusted to generate an optimal control signal; Temperature strategy unit: distributes the optimal control signal according to the parameter type to obtain the temperature control strategy corresponding to all parameters.

7. A preheating temperature control system for gangue roasting according to claim 4, characterized in that: The feedback module comprises: Comparison unit: executes temperature control strategy, obtains actual temperature data of preheating device and roasting furnace in real time, and compares actual temperature data with temperature range characteristics; Feedback unit: If any actual temperature data is not within the temperature range of the corresponding temperature interval time period, it is determined that the temperature control does not meet the standard, and the model parameters of the PID control model are feedback-adjusted based on the actual temperature data, the corresponding temperature range and the two-way deviation, and the temperature control strategy is regenerated and executed.

8. A preheating temperature control method for coal gangue roasting, characterized in that: include: Step 1: Parameter sensors are configured in the preheating device and the roasting furnace to monitor and obtain the preheating raw data and the roasting raw data; Step 2: Standardize the preheating raw data and the roasting raw data to obtain standard preheating data and standard roasting data; Step 3: Construct a multi-stage temperature curve according to the physical properties and roasting requirements of the gangue; Step 4: Based on the PID control model, a temperature control strategy is generated according to the deviations of the standard preheating data and the standard roasting data from the multi-stage temperature curve; Step 5: Execute the temperature control strategy and make feedback adjustments to the PID control model based on the actual temperature data after control.

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