Spraying system control method and device, electronic equipment and storage medium
By obtaining the working condition information of each unit of the absorption tower spray system in real time, inputting a preset control model to generate the unit operation combination, and controlling the unit to perform desulfurization operations, it solves the problem of optimization of component configuration and operating parameters of the system under different working conditions, and achieves an efficient, economical and environmentally friendly desulfurization effect.
Patent Information
- Application Number
- CN202411717860.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-11-27
- Publication Date
- 2025-03-18
AI Technical Summary
In the industrial process, it has become a major challenge to how to reasonably configure system components and optimize operating parameters to meet the needs of different working conditions.
By obtaining the real-time operating condition information of each unit, inputting this information into the preset control model, generating a unit operation combination, and performing desulfurization operations based on the combination control unit.
It has achieved flexible adjustments to each unit according to actual working conditions, optimized resource allocation, reduced energy consumption, maximized desulfurization effect, reduced pollutant emissions, met environmental protection standards, and improved the stability and reliability of the system.
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Figure CN119644943A_ABST
Abstract
Description
Technical Field
[0001] The present disclosure relates to the field of data processing technology, and in particular to a sprinkler system control method and device, electronic equipment, and storage medium. Background Art
[0002] In industrial processes, the absorber spray system is used to effectively remove or recover harmful gases through the contact reaction between liquid absorbent and gaseous pollutants. The absorber spray system is usually composed of core components such as the absorber body, spray device, circulation pump, control system, etc. Its design aims to maximize the mass transfer efficiency between gas and liquid phases while ensuring the stable operation and economy of the system.
[0003] In actual engineering practice, due to the complex and changeable process conditions, how to reasonably configure system components and optimize operating parameters to adapt to different working conditions has become a major challenge. Summary of the invention
[0004] The present disclosure provides a method, device, electronic device and storage medium for controlling a sprinkler system, the main purpose of which is to reasonably configure system components and optimize operating parameters to adapt to different working conditions.
[0005] According to a first aspect of the present disclosure, a method for controlling a sprinkler system is provided, comprising:
[0006] Obtain real-time operating information of each unit; the spray system includes multiple units;
[0007] Inputting the operating condition information of each of the units into a preset control model to obtain a unit operation combination output by the preset control model;
[0008] According to the unit operation combination, the corresponding unit is controlled to perform desulfurization.
[0009] Optionally, different units have different output powers and flue gas desulfurization rates; the step of inputting the operating condition information of each unit into a preset control model to obtain the unit operation combination output by the preset control model further includes:
[0010] The operating condition information of each of the units, the output power of each unit and the flue gas desulfurization rate are input into the preset control model to obtain the unit operation combination output by the preset control model.
[0011] Optionally, the step of inputting the operating condition information of each unit into a preset control model to obtain the unit operation combination output by the preset control model further includes:
[0012] Inputting the operating condition information of each of the units into a preset control model to obtain at least two unit operation combinations output by the preset control model; wherein different unit operation combinations correspond to different changes in desulfurization efficiency, power consumption, and outlet sulfur dioxide concentration prediction values;
[0013] Determining a target unit operation combination from the at least two unit operation combinations and outputting the result;
[0014] The controlling the corresponding unit to perform desulfurization according to the unit operation combination further comprises:
[0015] According to the target unit operation combination, the corresponding unit is controlled to perform desulfurization.
[0016] Optionally, the step of inputting the operating condition information of each of the units into a preset control model to obtain at least two unit operation combinations output by the preset control model further comprises:
[0017] The operating parameters of each of the groups of operating combinations are generated respectively according to the preset control model.
[0018] Optionally, before inputting the operating condition information of each unit into a preset control model to obtain the unit operation combination output by the preset control model, the method further includes:
[0019] Obtain historical operating parameters of the sprinkler system;
[0020] The preset control model is trained according to the historical operating parameters of the sprinkler system so that the preset control model can reflect the actual operating conditions of the sprinkler system.
[0021] According to a second aspect of the present disclosure, there is provided a sprinkler system control device, comprising:
[0022] The first acquisition unit is used to acquire the real-time operating condition information of each unit; wherein the spray system includes multiple units;
[0023] An output unit, used for inputting the operating condition information of each of the units into a preset control model to obtain a unit operation combination output by the preset control model;
[0024] The execution unit is used to control the corresponding unit to perform desulfurization according to the unit operation combination.
[0025] Optionally, the output power and flue gas desulfurization rate of different units are different; the output unit is also used for:
[0026] The operating condition information of each of the units, the output power of each unit and the flue gas desulfurization rate are input into the preset control model to obtain the unit operation combination output by the preset control model.
[0027] Optionally, the output unit further includes:
[0028] An output module, used to input the operating condition information of each of the units into a preset control model to obtain at least two unit operation combinations output by the preset control model; wherein different unit operation combinations correspond to different changes in desulfurization efficiency, power consumption changes and outlet sulfur dioxide concentration prediction values;
[0029] a determination module, configured to determine and output a target unit operation combination from among the at least two unit operation combinations;
[0030] The execution unit is also used for:
[0031] According to the target unit operation combination, the corresponding unit is controlled to perform desulfurization.
[0032] Optionally, the output unit is further used for:
[0033] The operating parameters of each of the groups of operating combinations are generated respectively according to the preset control model.
[0034] Optionally, the device further comprises:
[0035] A second acquisition unit is used to acquire historical operating parameters of the sprinkler system before the output unit inputs the operating condition information of each unit into the preset control model to obtain the unit operation combination output by the preset control model;
[0036] The training unit is used to train the preset control model according to the historical operating parameters of the sprinkler system so that the preset control model can reflect the actual operating conditions of the sprinkler system.
[0037] According to a third aspect of the present disclosure, there is provided an electronic device, including:
[0038] at least one processor; and
[0039] a memory communicatively connected to the at least one processor; wherein,
[0040] 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.
[0041] 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.
[0042] 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.
[0043] The spray system control method, device, electronic device and storage medium provided by the present disclosure have the following main technical solutions: obtaining the real-time operating information of each unit; wherein the spray system includes multiple units; inputting the operating information of each unit into a preset control model to obtain the unit operation combination output by the preset control model; and controlling the corresponding unit to perform desulfurization according to the unit operation combination. Compared with the related art, the embodiment of the present application obtains the operating information of each unit in real time, inputs the operating information into a preset control model, and generates a unit operation combination. This distributed control method ensures that each unit can be flexibly adjusted according to actual operating requirements, optimizes resource allocation, and reduces energy consumption. And through the unit operation combination, the desulfurization effect can be maximized, pollutant emissions can be reduced, and environmental protection standards can be met. Through intelligent control, the coordinated work of the units is achieved, and the stability and reliability of the system are improved.
[0044] 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
[0045] The accompanying drawings are used to better understand the present solution and do not constitute a limitation of the present disclosure.
[0046] Figure 1 A schematic flow chart of a method for controlling a spray system provided by an embodiment of the present disclosure;
[0047] Figure 2 A schematic flow chart of a method for controlling a spray system provided by an embodiment of the present disclosure;
[0048] Figure 3 A schematic diagram of the structure of a sprinkler system control device provided in an embodiment of the present disclosure;
[0049] Figure 4 A schematic diagram of the structure of a sprinkler system control device provided in an embodiment of the present disclosure;
[0050] Figure 5 A schematic block diagram of an exemplary electronic device provided for an embodiment of the present disclosure. DETAILED DESCRIPTION
[0051] 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.
[0052] The following describes the sprinkler system control method, device, electronic device, and storage medium according to the embodiments of the present disclosure with reference to the accompanying drawings.
[0053] Figure 1 A schematic flow chart of a method for controlling a sprinkler system provided in an embodiment of the present disclosure.
[0054] like Figure 1 As shown, the method comprises the following steps:
[0055] Step 101, obtaining real-time operating information of each unit; wherein the spray system includes multiple units.
[0056] Real-time monitoring and collection of operating information of each unit, including but not limited to the unit's operating status, spray flow, pressure, pH value, limestone slurry concentration, etc. Through sensors and monitoring equipment installed in various key locations, the system can continuously collect these data. These data not only reflect the current working status of the unit, but also provide a basis for subsequent analysis and decision-making. The acquisition of real-time operating information helps to promptly discover potential failures or performance degradation of the unit, so as to take corresponding preventive measures.
[0057] Step 102: Input the operating condition information of each unit into a preset control model to obtain the unit operation combination output by the preset control model.
[0058] After collecting the real-time operating information of each unit, the information is input into the preset control model. This control model is usually a complex system based on algorithms and logic, which can process and analyze a large amount of data and output the best unit operation combination according to the preset optimization goals, such as maximizing desulfurization efficiency and minimizing energy consumption. This model will take into account the working performance, historical data, environmental conditions and preset operating strategies of each unit, and determine which units should be turned on and which should be turned off, as well as their working intensity through calculation and simulation.
[0059] Step 103, controlling the corresponding unit to perform desulfurization according to the unit operation combination.
[0060] After obtaining the unit operation combination output by the control model, each unit is precisely controlled according to this combination. For example, some units are started to increase the desulfurization capacity, while other units may be adjusted to work or temporarily shut down to save energy and reduce wear. The implementation of this control strategy ensures that the spray system can operate in the optimal state, thereby effectively removing pollutants in the flue gas and meeting environmental emission standards. At the same time, through intelligent control, it can also reduce operating costs, extend equipment life, and improve the operating efficiency and reliability of the entire spray system while ensuring the desulfurization effect.
[0061] The spray system control method provided by the present disclosure has the following main technical solutions: obtaining the real-time operating information of each unit; wherein the spray system includes multiple units; inputting the operating information of each unit into a preset control model to obtain the unit operation combination output by the preset control model; and controlling the corresponding unit to perform desulfurization according to the unit operation combination. Compared with the related art, the embodiment of the present application obtains the operating information of each unit in real time, inputs the operating information into a preset control model, and generates a unit operation combination. This distributed control method ensures that each unit can be flexibly adjusted according to actual operating requirements, optimizes resource allocation, and reduces energy consumption. And through the unit operation combination, the desulfurization effect can be maximized, pollutant emissions can be reduced, and environmental protection standards can be met. Through intelligent control, the coordinated work of the units is achieved, and the stability and reliability of the system are improved.
[0062] Optionally, different units have different output powers and flue gas desulfurization rates; the step of inputting the operating condition information of each unit into a preset control model to obtain the unit operation combination output by the preset control model further includes:
[0063] The operating condition information of each of the units, the output power of each unit and the flue gas desulfurization rate are input into the preset control model to obtain the unit operation combination output by the preset control model.
[0064] In the process of optimizing the operation of the desulfurization spray system, the key step to ensure the efficient and economical operation of the system is to input the operating information, output power and flue gas desulfurization rate of each unit into the preset control model. This process involves the precise processing and analysis of a large amount of data to obtain the optimal unit operation combination.
[0065] First, the unit's operating information includes but is not limited to key parameters such as temperature, pressure, flow, pH value, etc. These parameters directly reflect the unit's working status and performance. Secondly, the output power of each unit is an important economic indicator, which is related to energy consumption and operating costs. Finally, the flue gas desulfurization rate is the core indicator for measuring the desulfurization effect, which is directly related to the compliance with environmental emission standards.
[0066] These data are input into the preset control model, which will use advanced algorithms and optimization strategies to comprehensively consider the following factors: the operating information of each unit to evaluate its operating status and potential failure risks; output power to optimize energy distribution and reduce costs; flue gas desulfurization rate to ensure that the desulfurization effect meets environmental protection requirements. Through these comprehensive considerations, the model can output an optimal unit operation combination.
[0067] This combination will guide the system on how to adjust the working status of each unit, for example, which units should increase the spray flow to improve the desulfurization rate, or which units should reduce the power output to save energy. Such a control model not only improves the automation level of the desulfurization system, but also ensures that the operating cost is optimized while meeting environmental protection standards, thereby improving the overall operating efficiency and economic benefits of the power plant.
[0068] See also Figure 2 , Figure 2 A flow chart of a method for controlling a sprinkler system provided by an embodiment of the present disclosure, wherein the operating condition information of each unit is input into a preset control model, and the unit operation combination output by the preset control model is obtained, further comprising:
[0069] Step 201, inputting the operating condition information of each unit into a preset control model to obtain at least two unit operation combinations output by the preset control model; wherein different unit operation combinations correspond to different changes in desulfurization efficiency, power consumption and outlet sulfur dioxide concentration prediction values.
[0070] The preset control model will generate at least two different unit operation combinations based on the comprehensive analysis of the input operating information, such as flow, pressure, temperature, desulfurizer concentration, etc., and the different operation combinations generated accordingly. Each combination corresponds to different changes in desulfurization efficiency, power consumption, and predicted values of outlet sulfur dioxide concentration. These combinations take into account various possible operating scenarios, aiming to find the best combination that can minimize energy consumption and operating costs while meeting environmental protection requirements.
[0071] Step 202: determine a target unit operation combination from the at least two unit operation combinations and output it.
[0072] After obtaining multiple unit operation combinations, the desulfurization efficiency, power consumption and outlet sulfur dioxide concentration forecast values of each combination are compared and analyzed in detail, and a target unit operation combination is selected from them. The determination of the target unit operation combination is based on a series of criteria, including but not limited to maximizing desulfurization efficiency, minimizing energy consumption, and ensuring that emissions meet environmental standards. This process may need to consider factors such as current environmental protection policies, economic goals of power plants, and actual conditions of equipment.
[0073] Step 203: Control the corresponding unit to perform desulfurization according to the target unit operation combination.
[0074] After determining the target unit operation combination, each unit is precisely controlled according to the specific requirements of this combination, such as adjusting the working status of the unit, such as starting or stopping certain units, changing the spray flow rate, adjusting the desulfurizer injection rate, etc., to achieve the desulfurization efficiency, power consumption and emission standards set by the target operation combination.
[0075] Through this precise control, the system can ensure that the desulfurization spray system operates in the optimal state, which not only improves the desulfurization efficiency and reduces operating costs, but also enhances the adaptability and reliability of the system, thereby improving the overall operating performance of the power plant while ensuring environmental protection requirements.
[0076] In some embodiments, the determined at least two unit operation combinations are sent to a display interface for selection by operation and maintenance personnel to determine a target unit operation combination.
[0077] In some embodiments, inputting the operating condition information of each of the units into a preset control model to obtain at least two unit operation combinations output by the preset control model further comprises:
[0078] The operating parameters of each of the groups of operating combinations are generated respectively according to the preset control model.
[0079] The preset control model calculates a series of operating parameters according to the characteristics of each unit operation combination. These parameters include but are not limited to flow control of the spray system, pressure setting, desulfurizer injection rate, slurry circulation volume, pH value adjustment, etc., to ensure that the desulfurization system can achieve the best desulfurization effect under a specific operating combination.
[0080] In some embodiments, when generating operating parameters, multiple factors need to be considered, such as sulfur dioxide concentration in flue gas, working status of the unit, ambient temperature, humidity, etc. The model will dynamically adjust the operating parameters according to the changes of these factors to ensure that the desulfurization system can maintain efficient operation under different working conditions.
[0081] In some embodiments, the actual performance limitations, safety thresholds, and economic indicators of the equipment must also be considered. For example, it is necessary to ensure that the spray flow rate does not exceed the maximum bearing capacity of the pipeline, while also minimizing the waste of desulfurizer and reducing operating costs.
[0082] By optimizing the operating parameters, we can ensure that sulfur dioxide in the flue gas is effectively removed to meet environmental emission standards. We can reasonably distribute the load of each unit, reduce unnecessary energy consumption, and improve energy efficiency. We can avoid equipment operation under extreme conditions, reduce wear and tear, and extend the service life of equipment. Through precise control, we can reduce system failures and downtime and improve the reliability of the overall system.
[0083] In some embodiments, before inputting the operating condition information of each of the units into a preset control model to obtain the unit operation combination output by the preset control model, the method further includes:
[0084] Obtain historical operating parameters of the sprinkler system;
[0085] The preset control model is trained according to the historical operating parameters of the sprinkler system so that the preset control model can reflect the actual operating conditions of the sprinkler system.
[0086] In some embodiments, the operation data of the spray system in the past period of time are collected and sorted, including but not limited to key indicators such as spray flow, pressure, desulfurization agent consumption, pH value, flue gas temperature, sulfur dioxide concentration, etc. These historical operation parameters record the performance of the spray system under different working conditions.
[0087] After collecting the historical operating parameters of the sprinkler system, the preset control model is trained according to the historical operating parameters of the sprinkler system. For the specific training process of the preset control model, please refer to any implementation method in the prior art, and the embodiments of the present application will not be described one by one here.
[0088] Through training, the preset control model can simulate the actual operation of the sprinkler system, so as to make more accurate decisions in real-time control.
[0089] Corresponding to the above-mentioned spray system control method, the present invention also provides a spray system control device. Since the device embodiment of the present invention corresponds to the above-mentioned method embodiment, 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.
[0090] Figure 3 A schematic diagram of a sprinkler system control device provided in an embodiment of the present disclosure is shown in FIG. Figure 3 As shown, including:
[0091] The first acquisition unit 31 is used to acquire the real-time operating condition information of each unit; wherein the spray system includes multiple units;
[0092] An output unit 32, used to input the operating condition information of each of the units into a preset control model to obtain a unit operation combination output by the preset control model;
[0093] The execution unit 33 is used to control the corresponding unit to perform desulfurization according to the unit operation combination.
[0094] The spray system control device provided by the present disclosure has the following main technical solutions: obtaining the real-time operating information of each unit; wherein the spray system includes multiple units; inputting the operating information of each unit into a preset control model to obtain the unit operation combination output by the preset control model; and controlling the corresponding unit to perform desulfurization according to the unit operation combination. Compared with the related art, the embodiment of the present application obtains the operating information of each unit in real time, inputs the operating information into a preset control model, and generates a unit operation combination. This distributed control method ensures that each unit can be flexibly adjusted according to actual operating requirements, optimizes resource allocation, and reduces energy consumption. And through the unit operation combination, the desulfurization effect can be maximized, pollutant emissions can be reduced, and environmental protection standards can be met. Through intelligent control, the coordinated work of the units is achieved, and the stability and reliability of the system are improved.
[0095] Furthermore, in a possible implementation of the embodiment of the present disclosure, as Figure 4 As shown, the output power and flue gas desulfurization rate of different units are different; the output unit 32 is also used for:
[0096] The operating condition information of each of the units, the output power of each unit and the flue gas desulfurization rate are input into the preset control model to obtain the unit operation combination output by the preset control model.
[0097] Furthermore, in a possible implementation of the embodiment of the present disclosure, as Figure 4 As shown, the output unit 32 also includes:
[0098] The output module 321 is used to input the operating condition information of each unit into a preset control model to obtain at least two unit operation combinations output by the preset control model; wherein different unit operation combinations correspond to different desulfurization efficiency changes, power consumption changes and outlet sulfur dioxide concentration prediction values;
[0099] A determination module 322, configured to determine a target unit operation combination from the at least two unit operation combinations and output the result;
[0100] The execution unit 33 is also used for:
[0101] According to the target unit operation combination, the corresponding unit is controlled to perform desulfurization.
[0102] Furthermore, in a possible implementation of the embodiment of the present disclosure, as Figure 4 As shown, the output unit 32 is also used for:
[0103] The operating parameters of each of the groups of operating combinations are generated respectively according to the preset control model.
[0104] Furthermore, in a possible implementation of the embodiment of the present disclosure, as Figure 4 As shown, the device also includes:
[0105] The second acquisition unit 34 is used to acquire the historical operation parameters of the sprinkler system before the output unit 32 inputs the operating condition information of each unit into the preset control model to obtain the unit operation combination output by the preset control model;
[0106] The training unit 35 is used to train the preset control model according to the historical operating parameters of the sprinkler system, so that the preset control model can reflect the actual operating conditions of the sprinkler system.
[0107] 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.
[0108] 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.
[0109] Figure 5 A schematic block diagram of an example electronic device 400 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.
[0110] like Figure 5 As shown, the device 400 includes a computing unit 401, which can perform various appropriate actions and processes according to a computer program stored in a ROM (Read-Only Memory) 402 or a computer program loaded from a storage unit 408 to a RAM (Random Access Memory) 403. In the RAM 403, various programs and data required for the operation of the device 400 can also be stored. The computing unit 401, the ROM 402, and the RAM 403 are connected to each other via a bus 404. An I / O (Input / Output) interface 405 is also connected to the bus 404.
[0111] A number of components in the device 400 are connected to the I / O interface 405, including: an input unit 406, such as a keyboard, a mouse, etc.; an output unit 407, such as various types of displays, speakers, etc.; a storage unit 408, such as a disk, an optical disk, etc.; and a communication unit 409, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 409 allows the device 400 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.
[0112] The computing unit 401 may be a variety of general and / or special processing components with processing and computing capabilities. Some examples of the computing unit 401 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 401 performs the various methods and processes described above, such as the sprinkler system control method. For example, in some embodiments, the sprinkler system control method may be implemented as a computer software program, which is tangibly contained in a machine-readable medium, such as a storage unit 408. In some embodiments, part or all of the computer program may be loaded and / or installed on the device 400 via the ROM 402 and / or the communication unit 409. When the computer program is loaded into the RAM 403 and executed by the computing unit 401, one or more steps of the method described above may be performed. Alternatively, in other embodiments, the computing unit 401 may be configured to execute the aforementioned sprinkler system control method in any other appropriate manner (for example, by means of firmware).
[0113] 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.
[0114] 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.
[0115] 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.
[0116] 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).
[0117] 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.
[0118] 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.
[0119] 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.
[0120] 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.
[0121] 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 method for controlling a sprinkler system, characterized in that: include: Obtain real-time operating information of each unit; the spray system includes multiple units; Inputting the operating condition information of each of the units into a preset control model to obtain a unit operation combination output by the preset control model; According to the unit operation combination, the corresponding unit is controlled to perform desulfurization.
2. The method according to claim 1, characterized in that Different units have different output powers and flue gas desulfurization rates; the inputting of the operating condition information of each unit into the preset control model to obtain the unit operation combination output by the preset control model also includes: The operating condition information of each of the units, the output power of each unit and the flue gas desulfurization rate are input into the preset control model to obtain the unit operation combination output by the preset control model.
3. The method according to claim 1, characterized in that The step of inputting the operating condition information of each unit into a preset control model to obtain the unit operation combination output by the preset control model further includes: Inputting the operating condition information of each of the units into a preset control model to obtain at least two unit operation combinations output by the preset control model; wherein different unit operation combinations correspond to different changes in desulfurization efficiency, power consumption, and outlet sulfur dioxide concentration prediction values; Determining a target unit operation combination from the at least two unit operation combinations and outputting the result; The controlling the corresponding unit to perform desulfurization according to the unit operation combination further comprises: According to the target unit operation combination, the corresponding unit is controlled to perform desulfurization.
4. The method according to claim 3, characterized in that The step of inputting the operating condition information of each of the units into a preset control model to obtain at least two unit operation combinations output by the preset control model further comprises: The operating parameters of each of the groups of operating combinations are generated respectively according to the preset control model.
5. The method according to any one of claims 1 to 4, characterized in that Before inputting the operating condition information of each of the units into a preset control model to obtain the unit operation combination output by the preset control model, the method further includes: Obtain historical operating parameters of the sprinkler system; The preset control model is trained according to the historical operating parameters of the sprinkler system so that the preset control model can reflect the actual operating conditions of the sprinkler system.
6. A sprinkler system control device, characterized in that: include: The first acquisition unit is used to acquire the real-time operating condition information of each unit; wherein the spray system includes multiple units; An output unit, used for inputting the operating condition information of each of the units into a preset control model to obtain a unit operation combination output by the preset control model; The execution unit is used to control the corresponding unit to perform desulfurization according to the unit operation combination.
7. The device according to claim 6, characterized in that The output power and flue gas desulfurization rate of different units are different; the output unit is also used for: The operating condition information of each of the units, the output power of each unit and the flue gas desulfurization rate are input into the preset control model to obtain the unit operation combination output by the preset control model.
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 5.
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 1-5.
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 5.