Control method and device of desulfurization system, electronic equipment and storage medium

Abstract

The invention discloses a control method and device of a desulfurization system, electronic equipment and a storage medium, and relates to the technical field of data processing, and the main technical scheme comprises the following steps: obtaining feeding data and discharging data of the desulfurization system; inputting the feeding data and the discharging data into a preset data model to obtain desulfurization system control parameters output by the preset data model; and controlling the operation of the desulfurization system according to the control parameters. Compared with the prior art, the method has the advantages that errors of manual operation are reduced through real-time monitoring and data analysis, the desulfurization system can be automatically adjusted according to actual operation conditions, manual intervention is reduced, and operation convenience and system stability are improved. Through real-time monitoring and data analysis, the operation parameters of the desulfurization system can be accurately adjusted, and desulfurization in an optimal state is ensured, so that the desulfurization effect is improved, and pollutant emission is reduced.

Description

Technical Field

[0001] The present disclosure relates to the field of data processing technology, and in particular to a control method and device, electronic equipment and storage medium for a desulfurization system. Background Art

[0002] With the increasing global awareness of environmental protection and increasingly stringent emission standards, the unit desulfurization system plays a vital role in coal-fired power plants, industrial boilers, etc. The main purpose of the system is to remove sulfur dioxide from flue gas to reduce environmental problems such as acid rain and haze, and protect the ecological environment and human health.

[0003] The operating efficiency and stability of the unit desulfurization system are directly related to the emission level of pollutants. However, during the operation of the existing desulfurization system, the adjustment of its equipment and operating parameters mainly depends on the experience and judgment of the operators and is completed through manual operation. The operators need to have rich professional knowledge and operating experience to accurately judge the system status and make corresponding parameter adjustments. Summary of the invention

[0004] The present disclosure provides a control method, device, electronic device and storage medium for a desulfurization system, which is mainly intended to solve the problem that the adjustment of the desulfurization system equipment and operating parameters of the unit mainly depends on the experience and judgment of the operator and is completed through manual operation.

[0005] According to a first aspect of the present disclosure, a control method for a desulfurization system is provided, comprising:

[0006] Obtain the input and output data of the desulfurization system;

[0007] Inputting the input data and the output data into a preset data model to obtain a desulfurization system control parameter output by the preset data model;

[0008] The operation of the desulfurization system is controlled according to the control parameters.

[0009] Optionally, the desulfurization system includes a spray system, and the obtaining of input data and output data of the desulfurization system includes:

[0010] Obtain at least one of the real-time load of each unit in the spray system, the pH value of the slurry, the flue gas flow rate, and the inlet and outlet concentration of sulfur dioxide; wherein the spray system includes at least two units;

[0011] The step of inputting the input data and the output data into a preset data model to obtain the desulfurization system control parameters output by the preset data model includes:

[0012] The acquired parameters of the spray system are input into the preset data model to obtain the unit operation combination output by the preset data model.

[0013] Optionally, the desulfurization system includes a slurry supply system, and the acquisition of input data and output data of the desulfurization system includes:

[0014] Determining a change in reaction conditions in the desulfurization system;

[0015] The step of inputting the input data and the output data into a preset data model to obtain the desulfurization system control parameters output by the preset data model includes:

[0016] The acquired change value of the reaction condition is input into the preset data model to obtain the limestone slurry volume ratio output by the preset data model.

[0017] Optionally, the desulfurization system includes an oxidation blower, and the obtaining of input data and output data of the desulfurization system includes:

[0018] Obtaining boiler load and flue gas status of the desulfurization system;

[0019] The step of inputting the input data and the output data into a preset data model to obtain the desulfurization system control parameters output by the preset data model includes:

[0020] The boiler load and the flue gas state are input into the preset data model to obtain the oxidation fan operation plan output by the preset data model.

[0021] Optionally, controlling the operation of the desulfurization system according to the control parameter includes:

[0022] Determine in the spray system that the corresponding unit performs desulfurization according to the unit operation combination; or,

[0023] Control the slurry supply system to perform desulfurization according to the limestone slurry volume ratio; or,

[0024] The oxidation blower is controlled to perform desulfurization according to the oxidation blower operation plan.

[0025] Optionally, before inputting the input data and the output data into a preset data model to obtain the desulfurization system control parameters output by the preset data model, the method further includes:

[0026] Acquire historical material input data and historical material output data of the desulfurization system; wherein the historical material input data and the historical material output data correspond one to one;

[0027] The preset data model is trained according to the historical material input data and the historical material output data, so that the preset data model can simulate the actual operation of the desulfurization system.

[0028] According to a second aspect of the present disclosure, a control device for a desulfurization system is provided, comprising:

[0029] A first acquisition unit is used to acquire input data and output data of the desulfurization system;

[0030] A calculation unit, used for inputting the input data and the output data into a preset data model to obtain a desulfurization system control parameter output by the preset data model;

[0031] A control unit is used to control the operation of the desulfurization system according to the control parameters.

[0032] Optionally, the desulfurization system includes a spray system, and the first acquisition unit is further used for:

[0033] Obtain at least one of the real-time load of each unit in the spray system, the pH value of the slurry, the flue gas flow rate, and the inlet and outlet concentration of sulfur dioxide; wherein the spray system includes at least two units;

[0034] The computing unit is also used for:

[0035] The acquired parameters of the spray system are input into the preset data model to obtain the unit operation combination output by the preset data model.

[0036] Optionally, the desulfurization system includes a slurry supply system, and the first acquisition unit is further used for:

[0037] Determining a change in reaction conditions in the desulfurization system;

[0038] The computing unit is also used for:

[0039] The acquired change value of the reaction condition is input into the preset data model to obtain the limestone slurry volume ratio output by the preset data model.

[0040] Optionally, the desulfurization system includes an oxidation blower, and the first acquisition unit is further used for:

[0041] Obtaining boiler load and flue gas status of the desulfurization system;

[0042] The computing unit is also used for:

[0043] The boiler load and the flue gas state are input into the preset data model to obtain the oxidation fan operation plan output by the preset data model.

[0044] Optionally, the control unit is further used for:

[0045] Determine in the spray system that the corresponding unit performs desulfurization according to the unit operation combination; or,

[0046] Control the slurry supply system to perform desulfurization according to the limestone slurry volume ratio; or,

[0047] The oxidation blower is controlled to perform desulfurization according to the oxidation blower operation plan.

[0048] Optionally, the device further comprises:

[0049] A second acquisition unit is used to acquire historical input data and historical output data of the desulfurization system before the control unit inputs the input data and the output data into a preset data model to obtain the desulfurization system control parameters output by the preset data model; wherein the historical input data and the historical output data correspond to each other one by one;

[0050] A training unit is used to train the preset data model according to the historical material input data and the historical material output data, so that the preset data model can simulate the actual operation of the desulfurization system.

[0051] According to a third aspect of the present disclosure, there is provided an electronic device, including:

[0052] at least one processor; and

[0053] a memory communicatively connected to the at least one processor; wherein,

[0054] The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the method described in the first aspect.

[0055] According to a fourth aspect of the present disclosure, a non-transitory computer-readable storage medium storing computer instructions is provided, wherein the computer instructions are used to enable the computer to execute the method described in the first aspect.

[0056] According to a fifth aspect of the present disclosure, a computer program product is provided, comprising a computer program, wherein when the computer program is executed by a processor, the computer program implements the method as described in the first aspect above.

[0057] The control method, device, electronic device and storage medium of the desulfurization system provided by the present disclosure mainly include the following technical solutions: obtaining the feed data and the discharge data of the desulfurization system; inputting the feed data and the discharge data into a preset data model to obtain the control parameters of the desulfurization system output by the preset data model; and controlling the operation of the desulfurization system according to the control parameters. Compared with the related art, the embodiment of the present application reduces the error of human operation through real-time monitoring and data analysis. The desulfurization system can be automatically adjusted according to the actual operation conditions, reducing human intervention, and improving the convenience of operation and the stability of the system. Through real-time monitoring and data analysis, the operating parameters of the desulfurization system can be accurately adjusted to ensure that desulfurization is carried out under the best conditions, thereby improving the desulfurization effect and reducing pollutant emissions.

[0058] It should be understood that the content described in this section is not intended to identify the key or important features of the embodiments of the present application, nor is it intended to limit the scope of the present application. Other features of the present application will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0059] The accompanying drawings are used to better understand the present solution and do not constitute a limitation of the present disclosure.

[0060] Figure 1 A schematic flow chart of a control method for a desulfurization system provided in an embodiment of the present disclosure;

[0061] Figure 2 A schematic flow chart of a control method for a desulfurization system provided in an embodiment of the present disclosure;

[0062] Figure 3 A schematic flow chart of a control method for a desulfurization system provided in an embodiment of the present disclosure;

[0063] Figure 4 A schematic flow chart of a control method for a desulfurization system provided in an embodiment of the present disclosure;

[0064] Figure 5 A schematic diagram of the structure of a control device for a desulfurization system provided in an embodiment of the present disclosure;

[0065] Figure 6 A schematic diagram of the structure of a control device for a desulfurization system provided in an embodiment of the present disclosure;

[0066] Figure 7 A schematic block diagram of an exemplary electronic device provided for an embodiment of the present disclosure. DETAILED DESCRIPTION

[0067] The following is a description of exemplary embodiments of the present disclosure in conjunction with the accompanying drawings, including various details of the embodiments of the present disclosure to facilitate understanding, which should be considered as merely exemplary. Therefore, it should be recognized by those of ordinary skill in the art that various changes and modifications may be made to the embodiments described herein without departing from the scope and spirit of the present disclosure. Similarly, for the sake of clarity and conciseness, descriptions of well-known functions and structures are omitted in the following description.

[0068] The control method, device, electronic device and storage medium of the desulfurization system according to the embodiments of the present disclosure are described below with reference to the accompanying drawings.

[0069] Figure 1 A schematic flow chart of a control method for a desulfurization system provided in an embodiment of the present disclosure.

[0070] like Figure 1 As shown, the method comprises the following steps:

[0071] Step 101, obtaining the input data and output data of the desulfurization system.

[0072] In some embodiments, the flowmeter, temperature sensor, humidity sensor and component analyzer installed on the feed pipe can accurately obtain the feed data, including key parameters such as the flow rate, temperature, humidity and sulfur content of the raw materials. At the same time, for the collection of discharge data, the emission monitoring system can be used to monitor the flue gas composition, emission concentration, particulate matter content, etc. after desulfurization in real time to ensure that the discharge data is also accurate.

[0073] The collection of these data not only helps to monitor the desulfurization effect, but also provides necessary information input for subsequent data models.

[0074] Step 102: input the input data and the output data into a preset data model to obtain the desulfurization system control parameters output by the preset data model.

[0075] In some embodiments, the data model can be constructed based on machine learning algorithms and process simulations, so that it can process complex data relationships and extract valuable information from them. Through the calculation and analysis of the model, a series of optimized desulfurization system control parameters are obtained, such as the flow rate of the spray system, the pH value of the absorption tower, the speed of the oxidation fan, etc. These parameters are important bases for adjusting the operating status of the desulfurization system, and they directly affect the desulfurization efficiency and system stability.

[0076] Step 103: Control the operation of the desulfurization system according to the control parameters.

[0077] According to the desulfurization system control parameters output in step 102, each component of the desulfurization system is precisely controlled by a DCS (distributed control system) or a PLC (programmable logic controller). For example, the valve opening of the spray system is automatically adjusted to control the flow of limestone slurry, the pH value of the absorption tower is adjusted to optimize the chemical reaction conditions, or the speed of the oxidation fan is changed to provide an appropriate amount of oxidation air. These control measures ensure that the desulfurization system can operate under optimal conditions, thereby improving desulfurization efficiency, reducing energy consumption, and ensuring that emissions meet environmental standards. Through this closed-loop control, the desulfurization system can achieve automated and intelligent operation, greatly improving the overall operation level and economic benefits.

[0078] The control method of the desulfurization system provided in the present disclosure mainly includes the following technical solutions: obtaining the feed data and the discharge data of the desulfurization system; inputting the feed data and the discharge data into a preset data model to obtain the control parameters of the desulfurization system output by the preset data model; and controlling the operation of the desulfurization system according to the control parameters. Compared with the related art, the embodiment of the present application reduces the error of human operation through real-time monitoring and data analysis. The desulfurization system can be automatically adjusted according to the actual operation conditions, reducing human intervention, and improving the convenience of operation and the stability of the system. Through real-time monitoring and data analysis, the operating parameters of the desulfurization system can be accurately adjusted to ensure that desulfurization is carried out under the best conditions, thereby improving the desulfurization effect and reducing pollutant emissions.

[0079] See also Figure 2 , Figure 2 A flow chart of a control method for a desulfurization system provided in an embodiment of the present disclosure is provided. The desulfurization system includes a spray system. The method of obtaining the input data and output data of the desulfurization system includes:

[0080] Step 201, obtaining at least one of the real-time load of each unit in the spray system, the pH value of the slurry, the flue gas flow rate, and the inlet and outlet concentration of sulfur dioxide; wherein the spray system includes at least two units.

[0081] In the desulfurization spray system, the load of each unit, the pH value of the slurry, the flow rate of flue gas, and the inlet and outlet concentration of sulfur dioxide are monitored in real time. For example, a pH sensor is used to monitor the pH value of the slurry, a flow meter is used to measure the flow rate of flue gas, and a concentration analyzer is used to detect the concentration of sulfur dioxide. The data can be used to understand the current working status of each unit, providing a basis for subsequent data analysis and system optimization. Since the spray system usually contains multiple units, ensuring the real-time acquisition of at least one key parameter helps to promptly identify potential problems and take corresponding measures.

[0082] Step 202: input the acquired parameters of the sprinkler system into the preset data model to obtain the unit operation combination output by the preset data model.

[0083] After inputting the preset data model, the system will evaluate the operating status of the unit according to the preset algorithm and logic, and output an optimal unit operation combination plan. This plan may include which units should be turned on, which should be turned off, and the load distribution of each unit. In this way, it can ensure that the spray system can achieve optimal energy utilization, reduce operating costs, and extend the service life of the equipment while meeting the desulfurization efficiency.

[0084] See also Figure 3 , Figure 3 A flow chart of a control method for a desulfurization system provided in an embodiment of the present disclosure is provided. The desulfurization system includes a slurry supply system. The method of obtaining the input data and the output data of the desulfurization system includes:

[0085] Step 301, determining the change value of the reaction conditions in the desulfurization system.

[0086] During the operation of the desulfurization system, changes in reaction conditions have a direct impact on the desulfurization efficiency, including but not limited to the temperature, pressure, slurry concentration, pH value, redox potential, etc. in the absorption tower. Through high-precision sensors and real-time data acquisition systems, we can capture small changes in these parameters. In addition, external factors need to be considered, such as fluctuations in the composition of raw materials, changes in flue gas flow and sulfur content, etc. Once changes are monitored, the system will record these changes and determine their specific impact on the desulfurization reaction through data analysis.

[0087] Step 302: input the acquired change value of the reaction condition into the preset data model to obtain the limestone slurry volume ratio output by the preset data model.

[0088] After inputting the change value into the preset data model, the preset data model will perform complex calculations and analysis to predict and optimize the limestone slurry ratio. The ratio refers to the molar ratio of limestone slurry to sulfur dioxide in flue gas, which is a key factor in determining desulfurization efficiency. The limestone slurry ratio output by the data model will guide operators to adjust the slurry supply to ensure that the desulfurization system can still operate efficiently under changing reaction conditions. In this way, not only can the desulfurization efficiency be improved, but also the consumption of limestone can be effectively reduced, the operating cost can be reduced, and the dual benefits of environmental protection and economy can be achieved.

[0089] See also Figure 4 , Figure 4A flow chart of a control method for a desulfurization system provided in an embodiment of the present disclosure is provided. The desulfurization system includes an oxidation blower. The method of obtaining the input data and output data of the desulfurization system includes:

[0090] Step 401, obtaining the boiler load and flue gas status of the desulfurization system.

[0091] Boiler load data can be obtained through the boiler control system, including the actual combustion power of the boiler, fuel consumption, steam production, etc. The flue gas state involves the flue gas temperature, flow, component concentration (such as sulfur dioxide, nitrogen oxides, etc.) and particulate matter content in the flue gas, etc. These data are collected through sensors installed on the flue and online monitoring equipment.

[0092] Step 402, input the boiler load and the flue gas state into the preset data model to obtain the oxidation fan operation plan output by the preset data model.

[0093] The preset data model will comprehensively consider the changes in boiler load, the concentration of sulfur dioxide in the flue gas, the pressure of the system and other factors, and output an optimized oxidation fan operation plan, including the fan speed, air volume, operating time, etc. Ensuring that the oxidation fan operates under the optimal working conditions not only improves the desulfurization efficiency, but also reduces energy consumption and maintenance costs, achieving a dual improvement in the economy and environmental protection of the desulfurization system.

[0094] In some embodiments, controlling the operation of the desulfurization system according to the control parameter includes:

[0095] Determine in the spray system that the corresponding unit performs desulfurization according to the unit operation combination; or,

[0096] In the desulfurization spray system, according to the unit operation combination output by the preset data model, the start and stop and load distribution of each unit can be accurately controlled to perform desulfurization operations. It involves real-time monitoring and adjustment of each unit in the spray tower to ensure that each unit can operate efficiently according to the established combination. For example, some units may be responsible for processing high-concentration sulfur dioxide flue gas, while other units may optimize the treatment of low-concentration flue gas. Through this refined management, the desulfurization efficiency can be maximized, while reducing energy consumption and limestone slurry consumption, achieving both environmental and economic benefits.

[0097] Control the slurry supply system to perform desulfurization according to the limestone slurry volume ratio; or,

[0098] According to the limestone slurry volume ratio output by the data model, the operation of the slurry supply system can be more precise. The control of the volume ratio directly affects the desulfurization efficiency and the utilization rate of limestone. By adjusting the speed and opening degree of the slurry supply pump or replacing pumps of different specifications, the amount of limestone slurry entering the absorption tower can be accurately controlled. This control method ensures that when the sulfur dioxide concentration in the flue gas changes, the desulfurization system can quickly adapt and maintain efficient desulfurization performance. At the same time, a reasonable slurry volume ratio can also reduce the waste of slurry and reduce the operating cost of the system.

[0099] The oxidation blower is controlled to perform desulfurization according to the oxidation blower operation plan.

[0100] The operation plan of the oxidation fan is calculated by the data model according to the boiler load and flue gas status. According to this plan, the speed, air volume and other parameters of the oxidation fan are adjusted to provide an appropriate amount of oxidation air to promote the conversion of sulfur dioxide to sulfate. This control method can ensure that the oxidation fan can provide the best air volume support under different operating conditions, thereby improving the desulfurization efficiency. At the same time, a reasonable oxidation fan operation plan can effectively reduce the energy consumption and maintenance costs of the fan and extend the service life of the equipment. Through this intelligent control, the desulfurization system can achieve more stable and efficient operation.

[0101] In some embodiments, before inputting the input data and the output data into a preset data model to obtain the desulfurization system control parameters output by the preset data model, the method further includes:

[0102] Acquire historical material input data and historical material output data of the desulfurization system; wherein the historical material input data and the historical material output data correspond one to one;

[0103] The preset data model is trained according to the historical material input data and the historical material output data, so that the preset data model can simulate the actual operation of the desulfurization system.

[0104] The historical input data and historical output data include but are not limited to input data such as the composition, flow rate, temperature, humidity of the raw materials, and output data such as the composition of the flue gas after desulfurization, emission concentration, desulfurization efficiency, etc.

[0105] The preset data model is trained using the acquired historical data to improve the model's predictive ability and adaptability. During the training process, the data model will learn the discharge performance of the desulfurization system under different feeding conditions, thereby establishing the relationship between the feeding parameters and the discharge results. In some embodiments, a preset data model can be established through machine learning algorithms, such as neural networks, support vector machines, etc. The data model can extract features from historical data, optimize internal parameters, and gradually improve the accuracy of simulating the actual operation of the desulfurization system. After the training is completed, the data model will be able to predict the discharge results based on the new feeding data, or reversely infer the appropriate feeding conditions based on the required discharge results, providing strong support for the optimization control and operation guidance of the desulfurization system.

[0106] Corresponding to the above-mentioned desulfurization system control method, the present invention also provides a desulfurization system control device. Since the device embodiment of the present invention corresponds to the above-mentioned method embodiment, the details not disclosed in the device embodiment can be referred to the above-mentioned method embodiment, and will not be repeated in the present invention.

[0107] Figure 5 A schematic diagram of the structure of a control device for a desulfurization system provided in an embodiment of the present disclosure is shown in FIG. Figure 5 As shown, including:

[0108] A first acquisition unit 51 is used to acquire input data and output data of the desulfurization system;

[0109] A calculation unit 52, used for inputting the input data and the output data into a preset data model to obtain a desulfurization system control parameter output by the preset data model;

[0110] The control unit 53 is used to control the operation of the desulfurization system according to the control parameters.

[0111] The control device of the desulfurization system provided by the present disclosure has the following main technical solutions: obtaining the feed data and the discharge data of the desulfurization system; inputting the feed data and the discharge data into a preset data model to obtain the control parameters of the desulfurization system output by the preset data model; and controlling the operation of the desulfurization system according to the control parameters. Compared with the related art, the embodiment of the present application reduces the error of human operation through real-time monitoring and data analysis. The desulfurization system can be automatically adjusted according to the actual operation conditions, reducing human intervention, and improving the convenience of operation and the stability of the system. Through real-time monitoring and data analysis, the operating parameters of the desulfurization system can be accurately adjusted to ensure that desulfurization is carried out under the best conditions, thereby improving the desulfurization effect and reducing pollutant emissions.

[0112] Furthermore, in a possible implementation of the embodiment of the present disclosure, the desulfurization system includes a spray system, and the first acquisition unit 51 is further used for:

[0113] Obtain at least one of the real-time load of each unit in the spray system, the pH value of the slurry, the flue gas flow rate, and the inlet and outlet concentration of sulfur dioxide; wherein the spray system includes at least two units;

[0114] The calculation unit 52 is also used for:

[0115] The acquired parameters of the spray system are input into the preset data model to obtain the unit operation combination output by the preset data model.

[0116] Furthermore, in a possible implementation of the embodiment of the present disclosure, the desulfurization system includes a slurry supply system, and the first acquisition unit 51 is further used for:

[0117] Determining a change in reaction conditions in the desulfurization system;

[0118] The calculation unit 52 is also used for:

[0119] The acquired change value of the reaction condition is input into the preset data model to obtain the limestone slurry volume ratio output by the preset data model.

[0120] Furthermore, in a possible implementation of the embodiment of the present disclosure, the desulfurization system includes an oxidation blower, and the first acquisition unit 51 is further used for:

[0121] Obtaining boiler load and flue gas status of the desulfurization system;

[0122] The calculation unit 52 is also used for:

[0123] The boiler load and the flue gas state are input into the preset data model to obtain the oxidation fan operation plan output by the preset data model.

[0124] Further, in a possible implementation of the embodiment of the present disclosure, the control unit 53 is further configured to:

[0125] Determine in the spray system that the corresponding unit performs desulfurization according to the unit operation combination; or,

[0126] Control the slurry supply system to perform desulfurization according to the limestone slurry volume ratio; or,

[0127] The oxidation blower is controlled to perform desulfurization according to the oxidation blower operation plan.

[0128] Furthermore, in a possible implementation of the embodiment of the present disclosure, as Figure 6 As shown, the device also includes:

[0129] A second acquisition unit 54 is used to acquire historical input data and historical output data of the desulfurization system before the calculation unit 52 inputs the input data and the output data into a preset data model to obtain the desulfurization system control parameters output by the preset data model; wherein the historical input data and the historical output data correspond to each other one by one;

[0130] The training unit 55 is used to train the preset data model according to the historical material input data and the historical material output data, so that the preset data model can simulate the actual operation of the desulfurization system.

[0131] It should be noted that the above explanation of the method embodiment is also applicable to the device of the embodiment of the present disclosure, and the principle is the same, which is no longer limited in the embodiment of the present disclosure.

[0132] According to an embodiment of the present disclosure, the present disclosure also provides an electronic device, a readable storage medium and a computer program product.

[0133] Figure 7 A schematic block diagram of an example electronic device 600 that can be used to implement an embodiment of the present disclosure is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present disclosure described and / or required herein.

[0134] like Figure 7 As shown, the device 600 includes a computing unit 601, which can perform various appropriate actions and processes according to a computer program stored in a ROM (Read-Only Memory) 602 or a computer program loaded from a storage unit 608 to a RAM (Random Access Memory) 603. In the RAM 603, various programs and data required for the operation of the device 600 can also be stored. The computing unit 601, the ROM 602, and the RAM 603 are connected to each other via a bus 604. An I / O (Input / Output) interface 605 is also connected to the bus 604.

[0135] A number of components in the device 600 are connected to the I / O interface 605, including: an input unit 606, such as a keyboard, a mouse, etc.; an output unit 607, such as various types of displays, speakers, etc.; a storage unit 608, such as a disk, an optical disk, etc.; and a communication unit 609, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 609 allows the device 600 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0136] The computing unit 601 may be a variety of general and / or special processing components with processing and computing capabilities. Some examples of the computing unit 601 include, but are not limited to, a CPU (Central Processing Unit), a GPU (Graphic Processing Units), various dedicated AI (Artificial Intelligence) computing chips, various computing units running machine learning model algorithms, a DSP (Digital Signal Processor), and any appropriate processor, controller, microcontroller, etc. The computing unit 601 performs the various methods and processes described above, such as a control method for a desulfurization system. For example, in some embodiments, the control method for a desulfurization system may be implemented as a computer software program, which is tangibly contained in a machine-readable medium, such as a storage unit 608. In some embodiments, part or all of the computer program may be loaded and / or installed on the device 600 via the ROM 602 and / or the communication unit 609. When the computer program is loaded into the RAM 603 and executed by the computing unit 601, one or more steps of the method described above may be performed. Alternatively, in other embodiments, the computing unit 601 may be configured to execute the aforementioned control method of the desulfurization system in any other appropriate manner (for example, by means of firmware).

[0137] Various embodiments of the systems and techniques described above herein may be implemented in digital electronic circuit systems, integrated circuit systems, FPGAs (Field Programmable Gate Arrays), ASICs (Application-Specific Integrated Circuits), ASSPs (Application Specific Standard Products), SOCs (System On Chips), CPLDs (Complex Programmable Logic Devices), computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include: being implemented in one or more computer programs that may be executed and / or interpreted on a programmable system including at least one programmable processor that may be a special purpose or general purpose programmable processor that may receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0138] The program code for implementing the method of the present disclosure may be written in any combination of one or more programming languages. These program codes may be provided to a processor or controller of a general-purpose computer, a special-purpose computer, or other programmable data processing device, so that the program code, when executed by the processor or controller, enables the functions / operations specified in the flow chart and / or block diagram to be implemented. The program code may be executed entirely on the machine, partially on the machine, partially on the machine and partially on a remote machine as a stand-alone software package, or entirely on a remote machine or server.

[0139] In the context of the present disclosure, a machine-readable medium may be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, device, or equipment. A machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or device, or any suitable combination of the foregoing. More specific examples of machine-readable storage media may include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a RAM, a ROM, an EPROM (Electrically Programmable Read-Only-Memory) or a flash memory, an optical fiber, a CD-ROM (Compact Dis sc Read-Only Memory), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0140] To provide interaction with a user, the systems and techniques described herein can be implemented on a computer having: a display device (e.g., a CRT (Cathode-Ray Tube) or LCD (Liquid Crystal Display) monitor) for displaying information to the user; and a keyboard and a pointing device (e.g., a mouse or a trackball), through which the user can provide input to the computer. Other types of devices can also be used to provide interaction with the user; for example, the feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including acoustic input, voice input, or tactile input).

[0141] The systems and techniques described herein may be implemented in a computing system that includes backend components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes frontend components (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such backend components, middleware components, or frontend components. The components of the system may be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: LAN (Local Area Network), WAN (Wide Area Network), the Internet, and blockchain networks.

[0142] A computer system may include a client and a server. The client and the server are generally remote from each other and usually interact through a communication network. The relationship between the client and the server is generated by computer programs running on the corresponding computers and having a client-server relationship with each other. The server may be a cloud server, also known as a cloud computing server or cloud host, which is a host product in the cloud computing service system to solve the defects of difficult management and weak business scalability in traditional physical hosts and VPS services ("Virtual Private Server", or "VPS" for short). The server may also be a server of a distributed system, or a server combined with a blockchain.

[0143] It should be noted that artificial intelligence is a discipline that studies how computers can simulate certain human thought processes and intelligent behaviors (such as learning, reasoning, thinking, planning, etc.), and includes both hardware-level and software-level technologies. Artificial intelligence hardware technologies generally include technologies such as sensors, dedicated artificial intelligence chips, cloud computing, distributed storage, and big data processing; artificial intelligence software technologies mainly include computer vision technology, speech recognition technology, natural language processing technology, as well as machine learning / deep learning, big data processing technology, knowledge graph technology, and other major directions.

[0144] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps recorded in this disclosure can be executed in parallel, sequentially or in different orders, as long as the desired results of the technical solutions disclosed in this disclosure can be achieved, and this document does not limit this.

[0145] The above specific implementations do not constitute a limitation on the protection scope of the present disclosure. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modification, equivalent substitution and improvement made within the spirit and principle of the present disclosure shall be included in the protection scope of the present disclosure.

Claims

1. A control method for a desulfurization system, characterized in that: include: Obtain the input and output data of the desulfurization system; Inputting the input data and the output data into a preset data model to obtain a desulfurization system control parameter output by the preset data model; The operation of the desulfurization system is controlled according to the control parameters.

2. The method according to claim 1, characterized in that: The desulfurization system includes a spray system, and the acquisition of input data and output data of the desulfurization system includes: Obtain at least one of the real-time load of each unit in the spray system, the pH value of the slurry, the flue gas flow rate, and the inlet and outlet concentration of sulfur dioxide; wherein the spray system includes at least two units; The step of inputting the input data and the output data into a preset data model to obtain the desulfurization system control parameters output by the preset data model includes: The acquired parameters of the spray system are input into the preset data model to obtain the unit operation combination output by the preset data model.

3. The method according to claim 1, characterized in that The desulfurization system includes a slurry supply system, and the acquisition of input data and output data of the desulfurization system includes: Determining a change in reaction conditions in the desulfurization system; The step of inputting the input data and the output data into a preset data model to obtain the desulfurization system control parameters output by the preset data model includes: The acquired change value of the reaction condition is input into the preset data model to obtain the limestone slurry volume ratio output by the preset data model.

4. The method according to claim 1, characterized in that: The desulfurization system includes an oxidation blower, and the acquisition of input data and output data of the desulfurization system includes: Obtaining boiler load and flue gas status of the desulfurization system; The step of inputting the input data and the output data into a preset data model to obtain the desulfurization system control parameters output by the preset data model includes: The boiler load and the flue gas state are input into the preset data model to obtain the oxidation fan operation plan output by the preset data model.

5. The method according to any one of claims 1 to 4, characterized in that Controlling the operation of the desulfurization system according to the control parameters includes: Determine in the spray system that the corresponding unit performs desulfurization according to the unit operation combination; or, Control the slurry supply system to perform desulfurization according to the limestone slurry volume ratio; or, The oxidation blower is controlled to perform desulfurization according to the oxidation blower operation plan.

6. The method according to any one of claims 1 to 4, characterized in that Before inputting the input data and the output data into a preset data model to obtain the desulfurization system control parameters output by the preset data model, the method further includes: Acquire historical material input data and historical material output data of the desulfurization system; wherein the historical material input data and the historical material output data correspond one to one; The preset data model is trained according to the historical material input data and the historical material output data, so that the preset data model can simulate the actual operation of the desulfurization system.

7. A control device for a desulfurization system, characterized in that: include: A first acquisition unit is used to acquire input data and output data of the desulfurization system; A calculation unit, used for inputting the input data and the output data into a preset data model to obtain a desulfurization system control parameter output by the preset data model; A control unit is used to control the operation of the desulfurization system according to the control parameters.

8. An electronic device, characterized in that: include: at least one processor; as well as a memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the method according to any one of claims 1 to 6.

9. A non-transitory computer-readable storage medium storing computer instructions, characterized in that: The computer instructions are used to cause the computer to execute the method according to any one of claims 1-6.

10. A computer program product, characterized in that The invention comprises a computer program which, when executed by a processor, implements the method according to any one of claims 1 to 6.

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