An acidification reaction waste heat recovery system and system control method

Abstract

The application relates to the technical field of acidification high-temperature waste heat recovery, in particular to an acidification reaction waste heat recovery system and a system control method; the system comprises an acidification kettle, a drying tower, a sulfur incinerator and a boiler device, and the boiler device is connected with a energy utilization unit; the acidification kettle comprises a generator and an acidification steam recovery device arranged at the upper section of the acidification kettle; the acidification steam recovery device is connected with the drying tower through a pipeline; the drying tower is connected with the sulfur incinerator through a pipeline; the sulfur incinerator is connected with the boiler device through a pipeline; the drying tower comprises a drying tower body and a fan correspondingly arranged with the drying tower body; by arranging the corresponding fan and arranging the corresponding temperature control method on the fan, and by arranging the corresponding temperature control strategy in the temperature control method, the temperature entering the boiler device is optimally controlled, the steam output of the boiler device is maximized, and the maximum effect of the final electric energy conversion is realized.

Description

Technical Field

[0001] This application relates to the field of high-temperature waste heat recovery technology in acidification, specifically to a waste heat recovery system for acidification reaction and a system control method. Background Technology

[0002] Waste heat is energy that is not utilized in energy utilization equipment under certain economic and technological conditions; it is surplus or waste energy. It includes seven types: waste heat from high-temperature exhaust gases, waste heat from cooling media, waste steam and wastewater, waste heat from high-temperature products and slag, waste heat from chemical reactions, waste heat from combustible gases, waste liquids and waste materials, and waste pressure from high-pressure fluids. According to surveys, the total waste heat resources of various industries account for approximately 17%-67% of their total fuel consumption, and about 60% of the total waste heat resources are recyclable. Waste heat recovery is applicable to industries such as glass, metallurgy, smelting, petrochemicals, building materials, ceramics, and textiles, which produce flue gas (or other high-temperature polluting gases) with temperatures above 280℃. This means that any industrial boiler, fluidized bed boiler, thermal oil heater, smelting furnace, metallurgical furnace, blast furnace hot blast stove, heating furnace, as well as fertilizer plants and paper mills, with exhaust temperatures exceeding 280℃ can utilize this technology.

[0003] During the acid production process, a large amount of heat-containing gas is released. Currently, the main way to utilize the heat from this gas is by transferring the temperature to the energy unit, which converts the thermal energy into mechanical energy, and then converts the mechanical energy into electrical energy or other energy sources.

[0004] In the existing processing, the gas is used directly without controlling the gas temperature and the amount of gas input to the energy-consuming unit to ensure that the unit is suitable for its use. This results in low energy efficiency. Summary of the Invention

[0005] To address the above technical issues, this application provides an acidification reaction waste heat recovery system and a system control method. By configuring temperature control-related devices and mechanical components on the acidification reaction waste heat system, temperature control is achieved during the waste heat recovery process, enabling the conversion of some low-temperature waste heat into high-temperature waste heat, thereby increasing the steam production rate in the boiler unit and improving the working efficiency of the energy-consuming unit.

[0006] To achieve the above objectives, the technical solutions adopted in the embodiments of this application are as follows: In a first aspect, an acidification reaction waste heat recovery device includes an acidification reactor, a drying tower, a sulfur incinerator, and a boiler unit, wherein the boiler unit is connected to a power unit; the acidification reactor includes a generator and an acidification steam recovery device disposed in the upper section of the acidification reactor, the acidification steam recovery device being connected to the drying tower via a pipeline, the drying tower being connected to the sulfur incinerator via a pipeline, and the sulfur incinerator being connected to the boiler unit via a pipeline; the drying tower includes a drying tower body and a fan correspondingly configured to the drying tower body.

[0007] In a first possible implementation of the first aspect, the boiler unit comprises a medium-pressure boiler.

[0008] In conjunction with the first possible implementation of the first aspect, in the second possible implementation, the boiler apparatus further includes a high-temperature superheater disposed at the first-stage conversion outlet of the medium-pressure boiler, a heat exchanger and a first economizer disposed at the third-stage conversion outlet of the medium-pressure boiler, and a low-temperature superheater and a second economizer disposed at the fourth-stage conversion outlet of the medium-pressure boiler.

[0009] In a third possible implementation of the first aspect, the outer layer of the fan is coated with an acid-resistant layer composed of an acid-resistant material.

[0010] Secondly, an acidification reaction waste heat recovery system includes the acidification reaction waste heat recovery device described in any of the above claims, and further includes a control subsystem. The control subsystem communicates with the fan and is used to control the motor output power of the fan. The control subsystem includes a temperature control device and a data acquisition device. The data acquisition device is installed at the inlet connecting the drying tower and the acidification kettle and is used to collect the real-time temperature of the acid mist entering the drying tower. The temperature control device and the data acquisition device are electrically connected to the fan. The temperature control device is equipped with a temperature control model, and the temperature control model controls the output power of the fan based on the real-time temperature data collected by the data acquisition device.

[0011] In a first possible implementation of the second aspect, the fan is equipped with a temperature compensation unit, and the temperature control model controls the output power of the temperature compensation unit based on the real-time temperature data collected by the data acquisition device.

[0012] Thirdly, a control method for an acidification reaction waste heat recovery system is provided for controlling the acidification reaction waste heat recovery system described above, comprising the following methods: acquiring real-time temperature data of the acidified gas entering the drying tower based on the data acquisition device, comparing the real-time temperature data with target temperature data to obtain a data difference; determining a temperature control strategy based on the data difference, the temperature control strategy including a first temperature control strategy and a second temperature control strategy, wherein the first temperature control strategy is to increase the output power of the fan to increase the real-time temperature data to the target temperature data range, and the second temperature control strategy is to increase the output power of the fan and activate the temperature compensation unit to the target output power to increase the real-time temperature data to the target temperature data range.

[0013] In a first possible implementation of the third aspect, determining a temperature control strategy based on the data difference includes: when the data difference is within a preset threshold range, determining the temperature control strategy as a first temperature strategy; and when the data difference exceeds the preset threshold range, determining the temperature control strategy as a second temperature control strategy.

[0014] In conjunction with the first possible implementation of the third aspect, in the second possible implementation, increasing the output power of the fan to raise the real-time temperature data to the target temperature data range includes: establishing a fan compression ratio-temperature change curve; determining a target fan compression ratio based on the data difference and the fan compression ratio-temperature change curve; establishing a fan compression ratio-fan power change curve; obtaining a target fan power based on the determined target fan compression ratio; and controlling the fan based on the target fan power to raise the real-time temperature data to the target temperature data range.

[0015] In conjunction with the first possible implementation of the third aspect, in the third possible implementation, increasing the output power of the fan and activating the temperature compensation unit to the target output power, thereby increasing the real-time temperature data to the target temperature data range, includes: establishing a fan compression ratio-temperature compensation-temperature change curve; determining a target fan compression ratio and a target temperature compensation coefficient based on the data difference and the fan compression ratio-temperature compensation-temperature change curve; establishing a fan compression ratio-fan power change curve and a temperature compensation-temperature compensation unit power change curve; determining a target fan power and a target temperature compensation unit power based on the target fan compression ratio and the target temperature compensation coefficient; and adjusting the fan and the temperature compensation unit based on the target fan power and the target temperature compensation unit power to increase the real-time temperature data to the target temperature data range.

[0016] In the technical solution provided in this application embodiment, by setting a corresponding fan and configuring a corresponding temperature control method on the fan, and by configuring a corresponding temperature control strategy in the temperature control method, the optimal control of the temperature entering the boiler device is achieved, thereby maximizing the output steam of the boiler device, and thus achieving the maximum effect of final power conversion. Attached Figure Description

[0017] To more clearly illustrate the technical solutions in the embodiments of this application, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0018] The methods, systems, and / or procedures shown in the accompanying drawings will be further described with reference to exemplary embodiments. These exemplary embodiments will be described in detail with reference to the drawings. These exemplary embodiments are non-limiting exemplary embodiments, wherein example figures represent similar mechanisms in the various views of the drawings.

[0019] Figure 1 This is a schematic diagram of the structure of the acidification reaction waste heat recovery device provided in an embodiment of the present invention.

[0020] Figure 2 This is a structural block diagram of the acidification reaction waste heat recovery system provided in an embodiment of the present invention.

[0021] Figure 3 This is a schematic diagram of the control method for the waste heat recovery system of the acidification reaction provided by the present invention.

[0022] icon: 100-Acidification reaction waste heat recovery system; 110 - Waste heat recovery device for acidification reaction; 120 - Control subsystem; 111-Acidification reactor; 112-Drying tower; 113-Sulfur incinerator; 114-Boiler unit; 115-Energy-consuming unit; 116-Fan; 121 - Data acquisition device; 122 - Temperature control device; 1141 - Medium-pressure boiler; 1142 - High-temperature superheater; 1143 - Cold and hot heat exchanger; 1144 - First economizer; 1145 - Low-temperature superheater; 1146 - Second economizer. Detailed Implementation

[0023] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. The components of the embodiments of the present invention described and shown in the accompanying drawings can generally be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present invention provided in the accompanying drawings is not intended to limit the scope of the claimed invention, but merely to illustrate selected embodiments of the invention. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without inventive effort are within the scope of protection of the present invention.

[0024] It should be noted that similar labels and letters in the following figures indicate similar items. Therefore, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures.

[0025] In the description of this invention, it should be noted that the terms "center," "upper," "lower," "left," "right," "vertical," "horizontal," "inner," and "outer," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings, or the orientation or positional relationship commonly used when the product of this invention is in use. They are only for the convenience of describing this invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of this invention. In addition, the terms "first," "second," "third," etc., are only used to distinguish descriptions and should not be construed as indicating or implying relative importance.

[0026] In the description of this invention, it should also be noted that, unless otherwise explicitly specified and limited, the terms "set," "install," "connect," and "link" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection of two components. Those skilled in the art can understand the specific meaning of the above terms in this invention based on the specific circumstances.

[0027] In the detailed description below, numerous specific details are illustrated with examples to provide a comprehensive understanding of the relevant guidance. However, it will be apparent to those skilled in the art that this application can be practiced without these details. In other instances, well-known methods, procedures, systems, components, and / or circuits have been described at a relatively high level without detail to avoid unnecessarily obscuring aspects of this application.

[0028] This application uses flowcharts to illustrate the execution process performed by a system according to embodiments of this application. It should be clearly understood that the execution processes in the flowcharts may not be executed sequentially. Instead, these execution processes may be executed in reverse order or simultaneously. Additionally, at least one other execution process may be added to the flowchart. One or more execution processes may be deleted from the flowchart.

[0029] Please see Figure 2 , Figure 2 The structural block diagram of the acidification reaction waste heat recovery system provided in this embodiment is used to illustrate the overall architecture of this system.

[0030] In this embodiment, an acidification reaction waste heat recovery system includes an acidification reaction waste heat recovery device 110 and a control subsystem 120 communicating with the acidification reaction waste heat recovery device 110. The acidification reaction waste heat recovery device 110 is the main working device, used to process the acid gas after acidification and recover the waste heat generated during the process, and then transport the recovered waste heat to the energy consumption unit 115. The working principle and process of the acidification reaction waste heat treatment are similar to existing waste heat recovery systems. The energy consumption unit 115 can be of various types, mainly converting steam thermal energy into mechanical energy through a mechanical structure, and then converting the mechanical energy into electrical energy through a motor, and then transporting the electrical energy to the corresponding electrical device. The electrical device can be an external electrical device or multiple electrical devices within the system. This energy conversion method is existing technology and will not be described in detail in this embodiment.

[0031] However, it should be noted that in this embodiment, the main acidification reaction can be a sulfuric acid production reaction, meaning that the application scenario of this embodiment can be a sulfuric acid production reaction scenario. However, in other embodiments, the acidification reaction can also be other existing acidification reactions.

[0032] In this embodiment, the control subsystem 120 includes a data acquisition device 121 and a temperature control device 122. The data acquisition device 121 is used to acquire real-time temperature data of key components in the acidification reaction waste heat recovery system 100. The temperature control device 122 makes a judgment based on the real-time temperature data and the target temperature data and performs specific processing based on the judgment result.

[0033] In one possible embodiment, this system uses a combination of software and hardware to control the temperature in the acidification reaction waste heat recovery system 100, ensuring optimal performance of the overall system. Optimal performance refers to the optimal control of the final waste heat temperature while maintaining normal operation of the device. Because the temperature of the acidification reaction waste heat recovery device 110 is unstable during processing, and the steam temperature entering the energy consumption unit 115 is high, the steam temperature input to the energy consumption unit 115 needs to meet the most basic requirements for energy conversion. Therefore, precise control of the final steam temperature generated by the acidification reaction waste heat recovery device 110 is necessary to optimize the utilization rate of waste heat and the generated electrical energy in the energy consumption unit 115.

[0034] See Figure 1 , Figure 1 This is a schematic diagram of the acidification reaction waste heat recovery device provided in this embodiment. The control subsystem 120 in the acidification reaction waste heat recovery system 100 mainly controls the acidification reaction waste heat recovery device 110.

[0035] In this embodiment, the acidification reaction waste heat recovery device 110 includes an acidification reactor 111, a drying tower 112, a sulfur incinerator 113, and a boiler unit 114. The boiler unit 114 is connected to an energy-consuming unit 115. The boiler unit 114 generates high-temperature steam using the waste heat generated during the acidification reaction waste heat recovery, thereby driving the energy-consuming unit 115 to generate corresponding electrical energy. In this embodiment, the acidification reactor 111 is the main acidification reaction device, generating corresponding acid gas through the acidification reaction. Because the acidification reaction is exothermic, the generated gas is acid gas with a temperature. The drying tower 112 is used to dry the acid gas with a temperature, and the dried acid gas with a temperature is then desulfurized by the sulfur incinerator 113 and enters the boiler unit 114 to generate high-temperature steam, thus completing the utilization of the waste heat generated during the acidification reaction. To maximize the steam output from the boiler unit 114, the acid gas entering the boiler unit 114 needs to be at a relatively high temperature. To ensure the acid gas temperature meets the requirements for high-temperature acid gas, the acid gas temperature input from the drying tower 112 to the sulfur incinerator 113 needs to be within an optimal temperature range. Therefore, to achieve this technical effect, it is necessary to ensure the acid gas temperature output from the drying tower 112 is within this optimal range.

[0036] In this embodiment, this effect is achieved by configuring a corresponding fan 116 in the drying tower 112. By adding the fan 116, the temperature of the acid gas entering the sulfur incinerator 113 can be increased, and the heat load of the drying acid cooling system can be reduced, thus reducing the consumption of cooling water.

[0037] In this embodiment, in order for the system to be applicable to large and medium-sized equipment, the boiler device 114 is a medium-pressure boiler 1141, and corresponding components are configured at specific boiler ends in the medium-pressure boiler 1141. Specifically, a high-temperature superheater 1142 is provided at the first conversion outlet of the medium-pressure boiler 1141, a cold and hot heat exchanger 1143 and a first economizer 1144 are provided at the third conversion outlet of the medium-pressure boiler 1141, and a low-temperature superheater 1145 and a second economizer 1146 are provided at the fourth conversion outlet of the medium-pressure boiler 1141.

[0038] In this embodiment, in order to reduce the corrosion of the fan 116 by acidic gas in the drying tower 112, an acid-resistant layer composed of acid-resistant material can be coated on the key structural surface of the fan 116. In this embodiment, the acid-resistant layer can be composed of acid-resistant materials in the prior art, which will not be described in detail.

[0039] Regarding the acidification reaction waste heat recovery system 100 with temperature control provided in this embodiment, the control execution logic is to control the power of the fan 116 installed in the drying tower 112. Specifically, it controls the compression ratio of the air output by the fan 116 and the temperature compensation unit inside the fan 116. The compression ratio is used to characterize the amount of air input into the drying tower 112 by the fan 116 per unit time, and the temperature compensation unit is used to compensate for the temperature difference that still exists at the maximum compression ratio. That is, the fan 116 has two operating modes. The first operating mode is to input a certain amount of cold air into the drying tower 112 through the fan 116. The second operating mode is to input a certain amount of air with a specific temperature into the drying tower 112 through the fan 116, thereby realizing the transformation of the acid gas temperature in the drying tower 112 from the initial temperature entering the drying tower 112 to the target temperature, where the target temperature is a preset optimal or maximum temperature that meets the needs of the boiler device 114.

[0040] The configuration of the above method is based on the temperature control model set in the temperature control device 122.

[0041] The choice between the two operating methods is determined based on the difference between the initial temperature and the target temperature, i.e., the temperature difference. If the temperature difference cannot be compensated for by the first method, the second method is used.

[0042] In this embodiment, the power control of the fan 116 by the temperature control device 122 is implemented based on the hardware installed within the fan 116. A communication module is installed on the fan 116, which communicates with the temperature control device 122 to receive temperature control commands. The initial temperature of the acid gas entering the drying tower 112 is obtained using a temperature sensor installed at the connection point between the acidification vessel 111 and the drying tower 112. The temperature sensor communicates with the temperature control device 122 via the communication module.

[0043] The above content introduces the configuration of each component in the acidification reaction waste heat recovery system 100. Based on the configuration of each component, the target temperature of the steam entering the boiler device 114 is obtained, thereby increasing the final steam output.

[0044] As can be seen from the above, the control system provided in this embodiment is based on computer technology to achieve automated control. This embodiment provides a control method for automatic control, which is used to control the control system. It can be understood that the above embodiments mainly describe the hardware settings of the control system, while the following embodiments will describe the software-related aspects.

[0045] Before proceeding, the following terms need to be explained: (1) In response to, used to indicate the conditions or states on which the operation is performed depends. When the conditions or states on which the operation is performed are met, one or more operations may be performed in real time or with a set delay. Unless otherwise specified, there is no restriction on the order in which the multiple operations are performed.

[0046] (2) Based on, used to indicate the conditions or states on which the operation is performed depends. When the conditions or states on which it depends are met, one or more operations can be performed in real time or with a set delay. Unless otherwise specified, there is no restriction on the order of execution of the multiple operations.

[0047] (3) Model training: Multi-class classification learning is performed on the sample dataset. The model can be built using deep learning frameworks such as TensorFlow and Torch, and multi-layer combinations of neural network layers such as CNN are used to form a multi-class classification model.

[0048] (4) Support Vector Machine (SVM) is a type of generalized linear classifier that performs binary classification of data in a supervised learning manner. Its decision boundary is the maximum-margin hyperplane solved by the learning samples.

[0049] In this embodiment, the temperature control model is the main virtual control hardware. This model is not a model that is directly set; rather, it is an optimal model that has been trained multiple times. In this embodiment, the training of this model is described in detail.

[0050] For model training, the main logic is data collection, which involves aggregating the collected data to obtain sample data. In this embodiment, data can be obtained through known and public information. The temperature control model provided in this embodiment aims to maximize the steam output of boiler unit 114 by controlling the temperature; therefore, the data mainly includes temperature data and the corresponding steam output, which can be obtained through limited experimentation.

[0051] In other embodiments, since the experimental method is too complex and time-consuming, the simulation can be performed using existing experimental simulation models, and the above data can be obtained by setting simulation experiments in different temperature environments.

[0052] Then, based on the temperature data in the sample data, empirical mode decomposition is performed to obtain the intrinsic mode components. The time-frequency domain statistical features of the intrinsic mode components in different temperature ranges are extracted to form the entire feature set. The feature distance of the obtained feature set is evaluated, and the most sensitive feature set is selected. The optimal feature set is trained using self-organizing neural network feature fusion technology to obtain the minimum quantization error index with obvious performance degradation trend as it changes with temperature.

[0053] A steam quantity prediction model for a second-generation wavelet support vector machine is established by constructing a kernel function of a biorthogonal wavelet support vector machine based on the second-generation wavelet transform. The obtained minimum quantization error index is used as the prediction feature to achieve the evaluation of steam quantity under small sample size.

[0054] The temperature is ranked based on the steam output, meaning that the temperature in multiple temperature ranges is ranked according to the corresponding steam output.

[0055] The temperature control model trained using the above methods is configured with multiple temperature ranges and corresponding steam output rates. In this embodiment, the temperature control in the acidification reaction waste heat recovery device 110 is also mainly based on the steam output rate. However, in this embodiment, the steam output rate is not part of the processing; that is, the target temperature entering the boiler device 114 is obtained by setting a target steam output rate, and the target temperature is used as the target data. Specifically, this includes the following methods: The real-time temperature data of the acidified gas entering the drying tower 112 is obtained based on the data acquisition device 121, and the real-time temperature data is compared with the target temperature data to obtain the data difference.

[0056] In this embodiment, the target temperature data refers to the optimal temperature data entering the boiler device 114 for steam generation, corresponding to the maximization of the final steam output of the boiler device 114. It can be understood that the steam output of the boiler device 114 is not a specific numerical value, but a range. For this range, the optimal temperature data corresponding to the optimal steam output within that range needs to be obtained. In this embodiment, because different temperatures result in different steam outputs from the boiler device 114, it is necessary to determine the optimal temperature. The determination of the optimal temperature is based on a temperature control model, specifically: Multiple target temperatures are obtained by dividing the target temperature range.

[0057] Multiple target temperatures are input into the trained model to obtain the corresponding steam output of the boiler device 114.

[0058] The optimal target temperature is determined based on the ranking of steam output.

[0059] Furthermore, in some embodiments, the acquisition of the target temperature can be refined. If multiple identical steam outputs are obtained from the steam output, the highest temperature among the multiple temperatures is selected as the target temperature based on the goal of maximizing the steam output of the boiler device 114.

[0060] In this embodiment, the accurate acquisition of the target temperature has improved the steam output of the boiler unit 114 to a certain extent.

[0061] See Figure 3 Controlling the turbine temperature based on the obtained target temperature includes the following processes: Step S310: Based on the data acquisition device, the real-time temperature data of the acidified gas entering the drying tower is obtained, and the real-time temperature data is compared with the target temperature data to obtain the data difference.

[0062] In this embodiment, the acidified gas inside the drying tower is obtained by a temperature sensor installed at the connection point between the drying tower and the acidification vessel, i.e., at the acidic gas inlet of the drying tower.

[0063] The initial temperature obtained through the temperature sensor is compared with the target temperature obtained through training to obtain the temperature difference to be compensated.

[0064] Step S320: Determine a temperature control strategy based on the data difference, wherein the temperature control strategy includes a first temperature control strategy and a second temperature control strategy.

[0065] In this embodiment, the first temperature control strategy is to increase the output power of the fan to increase the real-time temperature data to the target temperature data range, and the second temperature control strategy is to increase the output power of the fan and activate the temperature compensation unit to the target output power, thereby increasing the real-time temperature data to the target temperature data range.

[0066] The first temperature control strategy and the second control strategy are selected during the control process, and the selection is based on the following method: When the data difference is within a preset threshold range, the temperature control strategy is determined to be a first temperature strategy; when the data difference exceeds the preset threshold range, the temperature control strategy is determined to be a second temperature control strategy.

[0067] Step S330: Based on the first temperature control strategy, increase the output power of the fan to improve the real-time temperature data to the target temperature data range.

[0068] In this embodiment, the methods for employing the first temperature strategy, namely increasing the real-time temperature to the target temperature range by increasing the output power of the fan 116, mainly include the following: Step S331. Establish the compression ratio-temperature change curve of the fan.

[0069] Step S332. Determine the target fan compression ratio based on the data difference and the fan compression ratio-temperature change curve.

[0070] Step S333. Establish the fan compression ratio-fan power variation curve.

[0071] Step S334. Obtain the target wind turbine power based on the determined target wind turbine compression ratio.

[0072] Step S335. Control the fan based on the target fan power to raise the real-time temperature data to the target temperature data range.

[0073] In this embodiment, the fan compression ratio-temperature change curve can be obtained from historical data or specific experimental data, and will not be elaborated further. The use of the fan compression ratio-temperature change curve is mainly achieved by obtaining the slope of each node in the curve, averaging each slope to obtain the corresponding fan compression ratio-temperature change parameters, and determining the target fan compression ratio based on these parameters. The air volume entering the drying tower is then determined by the target fan compression ratio, and the temperature of the acid gas inside the drying tower is controlled by the air volume entering the drying tower.

[0074] The control of airflow is based on the fan power. Fan power control can be achieved by using the fan compression ratio as a variable to obtain the fan power under that variable, thus obtaining the target fan power based on the target fan compression ratio. The implementation of this method is based on constructing a fan compression ratio-fan power variation curve. The method for constructing this curve is the same as the method for constructing a fan compression ratio-temperature variation curve, and will not be described in detail in this embodiment.

[0075] Step S340. The second temperature control strategy is to increase the output power of the fan and turn on the temperature compensation unit to the target output power, thereby increasing the real-time temperature data to the target temperature data range.

[0076] In this embodiment, the basis for the processing is that when the target temperature cannot be obtained through the first strategy, a temperature compensation unit needs to be introduced to increase the outlet air temperature of the fan, thereby increasing the temperature of the acid gas under the condition of a certain temperature of the outside air.

[0077] This method specifically includes the following processes: Step S341. Establish the fan compression ratio-temperature compensation-temperature change curve.

[0078] In this embodiment, because of the introduction of the temperature parameter, it is necessary to optimize the fan compression ratio-temperature change curve in step S430. The temperature variable is introduced to construct the fan compression ratio-temperature compensation-temperature change curve. The construction method of this curve is the same as that of the curve in step S430, and will not be described in detail here.

[0079] Step S342. Determine the target fan compression ratio and target temperature compensation coefficient based on the data difference and the fan compression ratio-temperature compensation-temperature change curve.

[0080] Step S343. Establish the fan compression ratio-fan power change curve and the temperature compensation-temperature compensation unit power change curve.

[0081] Step S344. Determine the target fan power and the target temperature compensation unit power based on the target fan compression ratio and the target temperature compensation coefficient.

[0082] Step S345. Based on the target fan power and the target temperature compensation unit power, adjust the fan and the temperature compensation unit to improve the real-time temperature data to the target temperature data range.

[0083] The device, system, and method provided in this embodiment achieve optimal control of the temperature entering the boiler device by setting up a corresponding fan and configuring a corresponding temperature control method on the fan, and by configuring a corresponding temperature control strategy in the temperature control method, thereby maximizing the output steam of the boiler device and ultimately achieving the maximum effect of electrical energy conversion.

[0084] In this embodiment, the temperature control device includes at least one processor, a memory, a user interface, and at least one network interface. The various components of the temperature control device are coupled together via a bus system. It is understood that the bus system is used to enable communication between these components. In addition to a data bus, the bus system also includes a power bus, a control bus, and a status signal bus.

[0085] It is understood that the memory can be volatile memory or non-volatile memory, or both. The memory in this embodiment of the invention is capable of storing data to support the operation of the terminal. Examples of this data include any computer programs used to operate on the terminal, such as operating systems and applications. The operating system includes various system programs, such as the framework layer, core library layer, driver layer, etc., used to implement various basic services and handle hardware-based tasks. Applications can include various applications.

[0086] In some embodiments, the temperature control device training device provided in this invention can be implemented using a combination of hardware and software. For example, the temperature control device provided in this invention can be a processor in the form of a hardware decoding processor, which is programmed to execute the temperature control method provided in this invention. For instance, the processor in the form of a hardware decoding processor can employ one or more application-specific integrated circuits (ASICs), DSPs, programmable logic devices (PLDs), complex programmable logic devices (CPLDs), field-programmable gate arrays (FPGAs), or other electronic components.

[0087] As an example of the temperature control device provided in this embodiment of the invention, which is implemented using a combination of hardware and software, the temperature control device provided in this embodiment of the invention can be directly embodied as a combination of software modules executed by a processor. The software modules can be located in a storage medium, which is located in a memory. The processor reads the executable instructions included in the software modules in the memory and combines them with necessary hardware (e.g., including the processor and other components connected to the bus) to complete the feature extraction training method provided in this embodiment of the invention.

[0088] As an example, a processor can be an integrated circuit chip with signal processing capabilities, such as a general-purpose processor, a digital signal processor (DSP), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc., where a general-purpose processor can be a microprocessor or any conventional processor, etc.

[0089] As an example of the hardware implementation of the temperature control device provided in the embodiments of the present invention, the device provided in the embodiments of the present invention can be directly executed by a processor in the form of a hardware decoding processor. For example, it can be executed by one or more application specific integrated circuits (ASICs), DSPs, programmable logic devices (PLDs), complex programmable logic devices (CPLDs), field-programmable gate arrays (FPGAs), or other electronic components to implement the feature extraction model training method provided in the embodiments of the present invention.

[0090] The memory in this embodiment of the invention is used to store various types of data to support the operation of the temperature control device. Examples of this data include: any executable instructions for operating on the temperature control device, such as executable instructions that implement the feature extraction model training method of this embodiment of the invention can be included in the executable instructions.

[0091] In some embodiments, the server can be a standalone physical server, a server cluster or distributed system composed of multiple physical servers, or a cloud server providing basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communication, middleware services, domain name services, security services, content delivery networks (CDNs), and big data and artificial intelligence platforms. The terminal (such as terminal 10-1) can be a smartphone, tablet, laptop, desktop computer, etc., but is not limited to these. The terminal and server can be directly or indirectly connected via wired or wireless communication, which is not limited in this embodiment.

[0092] Furthermore, this embodiment also provides an electronic device. In one aspect of this application, a computer program product or computer program is also provided, which includes computer instructions stored in a computer-readable storage medium. The processor of the computer device reads the computer instructions from the computer-readable storage medium and executes the computer instructions, causing the computer device to perform various alternative implementations of the above-described temperature control method, including different embodiments and combinations thereof.

[0093] In the several embodiments provided in this application, it should be understood that the disclosed systems, apparatuses, and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection between apparatuses or units through some interfaces, and may be electrical, mechanical, or other forms.

[0094] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0095] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0096] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0097] The above-described embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application.

Claims

1. A control method for an acidification reaction waste heat recovery system, characterized in that, A waste heat recovery system for controlling an acidification reaction includes an acidification reactor, a drying tower, a sulfur incinerator, and a boiler unit. The boiler unit is connected to a power unit. The acidification reactor includes a generator and an acidification steam recovery device located in the upper section of the reactor. The acidification steam recovery device is connected to the drying tower via a pipeline. The drying tower is connected to the sulfur incinerator via a pipeline, and the sulfur incinerator is connected to the boiler unit via a pipeline. The drying tower includes a drying tower body and a fan inside the drying tower body. A control subsystem is also included, which communicates with the fan and controls the motor output power of the fan. The control subsystem includes a temperature control device and a data acquisition device, the data acquisition device being located within the drying tower. The inlet of the acidification reactor is used to collect the real-time temperature of the acid gas entering the drying tower. The temperature control device makes a judgment based on the real-time temperature data and the target temperature data, and performs specific processing based on the judgment result. The target temperature is a preset optimal or maximum temperature that meets the requirements of the boiler equipment. The temperature control device is electrically connected to the data acquisition device and the fan. The temperature control device is equipped with a temperature control model. The temperature control model controls the output power of the fan based on the comparison between the real-time temperature data collected by the data acquisition device and the target temperature. The fan is equipped with a temperature compensation unit. The temperature control model controls the output power of the temperature compensation unit based on the comparison between the real-time temperature data collected by the data acquisition device and the target temperature. The control method for the acidification reaction waste heat recovery system includes: acquiring real-time temperature data of the acidified gas entering the drying tower based on the data acquisition device; comparing the real-time temperature data with target temperature data to obtain a data difference; determining a temperature control strategy based on the data difference, the temperature control strategy including a first temperature control strategy and a second temperature control strategy, wherein the first temperature control strategy is to increase the output power of the fan to increase the real-time temperature data to the target temperature data range, and the second temperature control strategy is to increase the output power of the fan and activate the temperature compensation unit, thereby increasing the real-time temperature data to the target temperature data range.

2. The control method for an acidification reaction waste heat recovery system according to claim 1, characterized in that, The boiler unit includes a medium-pressure boiler.

3. The control method for an acidification reaction waste heat recovery system according to claim 2, characterized in that, The boiler unit also includes a high-temperature superheater installed at the first-stage conversion outlet of the medium-pressure boiler, a heat exchanger and a first economizer installed at the third-stage conversion outlet of the medium-pressure boiler, and a low-temperature superheater and a second economizer installed at the fourth-stage conversion outlet of the medium-pressure boiler.

4. The control method for an acidification reaction waste heat recovery system according to claim 1, characterized in that, The outer layer of the fan is coated with an acid-resistant layer composed of acid-resistant materials.

5. The control method for an acidification reaction waste heat recovery system according to claim 1, characterized in that, Determining a temperature control strategy based on the data difference includes: when the data difference is within a preset threshold range, determining the temperature control strategy as a first temperature control strategy; when the data difference exceeds the preset threshold range, determining the temperature control strategy as a second temperature control strategy.

6. The control method for an acidification reaction waste heat recovery system according to claim 5, characterized in that, Increasing the output power of the fan to raise the real-time temperature data to the target temperature range includes: establishing a fan compression ratio-temperature change curve; determining a target fan compression ratio based on the data difference and the fan compression ratio-temperature change curve; establishing a fan compression ratio-fan power change curve; obtaining a target fan power based on the determined target fan compression ratio; and controlling the fan based on the target fan power to raise the real-time temperature data to the target temperature range.

7. The control method for an acidification reaction waste heat recovery system according to claim 6, characterized in that, Increasing the output power of the fan and activating the temperature compensation unit to raise the real-time temperature data to the target temperature range includes: establishing a fan compression ratio-temperature compensation-temperature change curve; determining a target fan compression ratio and a target temperature compensation coefficient based on the data difference and the fan compression ratio-temperature compensation-temperature change curve; establishing a fan compression ratio-fan power change curve and a temperature compensation-temperature compensation unit power change curve; determining a target fan power and a target temperature compensation unit power based on the target fan compression ratio and the target temperature compensation coefficient; and controlling the fan and the temperature compensation unit based on the target fan power and the target temperature compensation unit power to raise the real-time temperature data to the target temperature range.

Images