Method and device for determining dosage of environment-friendly medicament in coal-fired power plant and electronic equipment

Abstract

The invention provides a coal-fired power plant environment-friendly agent dosage determination method and device and electronic equipment, and relates to the technical field of environment-friendly power generation, and the coal-fired power plant environment-friendly agent dosage determination method comprises the steps that detection data sent by detection equipment and operation condition parameters of a coal-fired power plant are received; calling a correlation model, and determining a first agent dosage according to the correlation model, the detection data and the operation condition parameters; determining a chemical adding strategy based on the first chemical dosage, and adding a chemical based on the chemical adding strategy; the technical problem that the dosage of chemicals in a coal-fired power plant is not accurate enough in the prior art is solved.

Description

Technical Field

[0001] The present application relates to the field of environmentally friendly power generation technology, and in particular to a method, device, and electronic equipment for determining the dosage of environmentally friendly agents in coal-fired power plants. Background Art

[0002] During the power generation process, coal-fired power plants burn large amounts of coal, which produces large amounts of harmful gases such as sulfur dioxide and nitrogen oxides (NOx). If these gases are directly discharged into the atmosphere, they will cause serious environmental pollution and may cause acid rain, air pollution and health problems. Therefore, to comply with environmental regulations and protect the environment, coal-fired power plants need to use agents such as desulfurizers and denitrifiers to treat exhaust gases. Currently, the use of agents in coal-fired power plants is relatively extensive, and the statistical efficiency of agent usage is low, which is not conducive to agent usage analysis and management. Summary of the Invention

[0003] The present application aims to solve one of the technical problems in the related art at least to a certain extent.

[0004] To this end, the first purpose of this application is to propose a method for determining the dosage of environmental protection agents in coal-fired power plants to achieve accurate agent dosage determination and efficient agent management.

[0005] The second purpose of this application is to provide a device for determining the dosage of environmental protection agents in coal-fired power plants.

[0006] The third objective of this application is to provide an electronic device.

[0007] The fourth object of this application is to provide a computer-readable storage medium.

[0008] A fifth object of this application is to provide a computer program product.

[0009] To achieve the above objectives, the first embodiment of the present application proposes a method for determining the dosage of an environmental protection agent for a coal-fired power plant, comprising:

[0010] Receive detection data and operating parameters of coal-fired power plants sent by detection equipment;

[0011] calling a correlation model, and determining a first agent dosage based on the correlation model, the detection data, and the operating condition parameters;

[0012] A dosing strategy is determined based on the first drug dosage, and the drug is added based on the dosing strategy.

[0013] To achieve the above-mentioned purpose, the second embodiment of the present application proposes a device for determining the amount of environmental protection agent used in a coal-fired power plant, comprising:

[0014] A receiving module, used to receive detection data sent by the detection equipment and operating parameters of the coal-fired power plant;

[0015] an analysis module, configured to call a correlation model and determine a dosage of the first agent based on the correlation model, the detection data, and the operating condition parameters;

[0016] The drug usage module is used to determine a drug dosing strategy based on the first drug dosage and add the drug based on the drug dosing strategy.

[0017] To achieve the above-mentioned purpose, a third embodiment of the present application provides an electronic device, comprising: a processor, and a memory communicatively connected to the processor;

[0018] The memory stores computer-executable instructions;

[0019] The processor executes the computer-executable instructions stored in the memory to implement the method described in the embodiment of the first aspect.

[0020] To achieve the above-mentioned purpose, the fourth embodiment of the present application proposes a computer-readable storage medium, in which computer-executable instructions are stored. When the computer-executable instructions are executed by a processor, they are used to implement the method described in the first embodiment.

[0021] To achieve the above-mentioned purpose, the fifth embodiment of the present application proposes a computer program product, including a computer program, which implements the method described in the first embodiment when executed by a processor.

[0022] The method, device and electronic equipment for determining the amount of environmental protection reagents for coal-fired power plants provided in the present application call a correlation model by receiving detection data sent by detection equipment and operating condition data of the coal-fired power plant. The correlation model is established by the correlation relationship between coal quality, unit load and reagent consumption. Based on the correlation model, detection data and operating condition data, the first reagent amount required by the coal-fired power plant under the current operating conditions is determined, and then the dosing strategy is determined according to the first reagent amount to add the reagent, thereby ensuring the accuracy of the amount of reagent to be added and avoiding reagent waste caused by insufficient or excessive reagent amount.

[0023] Additional aspects and advantages of the present application will be given in part in the description below, and in part will become apparent from the description below, or will be learned through practice of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] The above and / or additional aspects and advantages of the present application will become apparent and easily understood from the following description of the embodiments in conjunction with the accompanying drawings, in which:

[0025] Figure 1A flow chart of a method for determining the dosage of an environmental protection agent for a coal-fired power plant provided in an embodiment of the present application;

[0026] Figure 2 A flow chart of another method for determining the dosage of environmental protection agents for coal-fired power plants provided in an embodiment of the present application;

[0027] Figure 3 A schematic structural diagram of a device for determining the dosage of environmental protection agents for a coal-fired power plant provided in an embodiment of the present application. DETAILED DESCRIPTION

[0028] The following describes in detail embodiments of the present application, examples of which are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present application, and should not be construed as limiting the present application.

[0029] Existing technologies for counting chemical agent usage have the following shortcomings: manual statistics rely on paper records or Excel spreadsheets, which are subject to data lags (usually 3-5 days) and human errors (statistical error rate >8%), resulting in low efficiency; at the same time, chemical agent data for water treatment systems and desulfurization and denitrification systems are scattered across different platforms such as DCS and PLC, lacking unified analysis; fixed dosing strategies cannot adapt to fluctuations in coal quality and changes in unit load (the actual overdosage rate reaches 12-25%); environmental protection reports are difficult to quickly verify with real-time operating data, which can easily lead to regulatory deviations.

[0030] The following describes the method, device and electronic equipment for determining the amount of environmental protection agent used in a coal-fired power plant according to an embodiment of the present application with reference to the accompanying drawings.

[0031] Figure 1 This is a flow chart of a method for determining the amount of environmental protection agent used in a coal-fired power plant provided in an embodiment of the present application. Figure 1 As shown, the method for determining the amount of environmental protection agent used in a coal-fired power plant includes the following steps:

[0032] S101, receiving detection data sent by detection equipment and operating parameters of the coal-fired power plant.

[0033] Optionally, the detection device can be a sensor, a weighing device or a flow meter, etc., which is used to detect environmental data, quality data and flow data in the operating conditions, and receive the detection data detected by the detection device for analysis. For example, the detection data may include data such as the weight of the medicine and the instantaneous flow rate of the dosing.

[0034] Optionally, the operating condition parameters of the coal-fired power plant may include but are not limited to parameters such as unit capacity, unit load, coal calorific value and boiler efficiency. The operating condition parameters of the coal-fired power plant are received and analyzed based on the operating condition parameters.

[0035] In some implementations, long-distance data transmission can be performed based on industrial-grade Long Range Radio (LoRa) technology. The industrial-grade LoRa technology has a transmission distance of ≥2km and is compatible with the Modbus TCP protocol to ensure smooth data transmission. Optionally, the data transmission process can also support a breakpoint resume mechanism, locally storing 72 hours of data in the event of a network interruption to ensure data integrity and continuity.

[0036] In some implementations, the data collection frequency in this embodiment can be 1 time / 10 seconds, and the upload cycle is 1 minute. Before the data is transmitted, the collected detection data and operating condition data can also be subjected to wavelet denoising processing to improve the signal-to-noise ratio of the original data and improve the accuracy of data analysis.

[0037] S102: Call the correlation model and determine the dosage of the first agent according to the correlation model, the detection data and the operating condition parameters.

[0038] Optionally, the association model in this embodiment can be an association model between coal quality, unit load and reagent consumption, and the association model is at least used to determine the association relationship between coal quality, unit load and reagent consumption; in some implementations, historical data of the coal power plant can be obtained, and the historical data includes different reagent consumptions corresponding to different coal qualities and different unit loads. The association model is trained based on the historical data so that the association model can learn the association relationship between coal quality, unit load and reagent consumption; optionally, the association model can be constructed based on Kalman filtering.

[0039] In some implementations, the detection data and operating condition parameters can be input into the association model. The association model outputs a first reagent dosage based on the coupling relationship between the detection data, operating condition parameters, coal quality and unit load. The first reagent dosage refers to the reagent dosage required by the coal-fired power plant under the current operating conditions.

[0040] S103: Determine a dosing strategy based on the dosage of the first agent, and add the agent based on the dosing strategy.

[0041] In some implementations, the required dosage of the drug can be determined based on the dosage of the first drug, and the dosing strategy is the required dosage of the different types of drugs to be added, that is, the drug is added based on the required dosage, thereby improving the accuracy of the determination of the drug dosage and avoiding insufficient drug dosage or waste of drugs.

[0042] In this embodiment, the detection data sent by the detection equipment and the operating condition data of the coal-fired power plant are received, and an association model is called. The association model is established by the association relationship between coal quality, unit load and reagent consumption. Based on the association model, the detection data and the operating condition data, the first reagent dosage required by the coal-fired power plant under the current operating conditions is determined, and then the dosing strategy is determined according to the first reagent dosage to add the reagent, thereby ensuring the accuracy of the amount of reagent to be added and avoiding the waste of reagent caused by insufficient or excessive reagent dosage.

[0043] Figure 2 A flow chart of another method for determining the dosage of environmental protection agents for a coal-fired power plant provided in an embodiment of the present application.

[0044] like Figure 2 As shown, the method may include the following steps:

[0045] S201, receiving detection data sent by detection equipment and operating parameters of the coal-fired power plant.

[0046] Optionally, the detection data includes at least: pH value, chemical oxygen demand (COD), turbidity and harmful gas concentration detected by an online water quality analyzer; weight of the reagent storage tank detected by a weighing sensor; and instantaneous flow of the dosing pipeline detected by an electromagnetic flowmeter.

[0047] Understandably, the pH value of water quality in coal-fired power plants is affected by various factors, including coal combustion. To maintain stable water quality, acid and alkaline agents are added to adjust the pH value. Therefore, the pH value detected by an online water quality analyzer can be used to reflect the need for agent usage and reasonably adjust the agent dosage. Chemical oxygen demand (COD) is an important indicator for measuring the degree of organic pollution in water bodies. To reduce COD, chemical treatment with agents such as oxidants is usually used. Therefore, the agent dosage can be reflected based on COD. Turbidity is an indicator of the suspended solids content in water bodies. Coal-fired power plant wastewater may contain suspended particulate matter, which may come from coal combustion, sedimentation during water treatment, etc. To reduce turbidity, coagulants, flocculants, and other agents can be used for physical or chemical treatment. Therefore, the corresponding agent dosage can be reflected based on turbidity. Harmful gas concentrations are generally sulfur oxides and nitrogen oxides. Different agents are used in the treatment of harmful gases, so the harmful gas concentration will also affect the agent dosage.

[0048] In some implementations, the weight of the reagent storage tank is the weight of the remaining stored reagent, which can be output in RS485 format to reflect the available reagent content. The instantaneous flow rate of the dosing line reflects the flow value of the fluid through a certain section of the pipeline at a specific moment. The larger the instantaneous flow rate, the more reagent is added.

[0049] Optionally, the operating condition parameters include at least the calorific value of the coal and the unit load; it is understandable that the calorific value of the coal depends on the quality of the coal burned. Coal with a higher calorific value can be converted into electricity more efficiently, reducing energy waste. If the calorific value of the coal is insufficient, it will lead to low power generation efficiency. Therefore, in order to meet the power generation demand, the amount of coal used may be increased, thereby indirectly affecting the amount of reagents related to the combustion process, such as requiring more reagents to treat pollutants generated during the combustion process; the unit load is the ratio of the actual output power of the unit to the rated power. Changes in the unit load will directly affect the amount of coal used. When operating at high load, in order to meet the electricity demand, the power plant will increase the supply of coal, which may lead to an increase in pollutant emissions, thereby requiring more environmentally friendly reagents for treatment.

[0050] In the embodiment of the present application, the implementation method of step S201 can be implemented by any of the methods in the embodiments of the present disclosure, which is not limited here and will not be repeated.

[0051] S202, calling the association model.

[0052] In the embodiment of the present application, the implementation method of step S202 can be implemented by any of the methods in the embodiments of the present disclosure, which is not limited here and will not be repeated.

[0053] S203: Extract features from the detection data and operating condition data.

[0054] In some implementations, data that affect the dosage of the reagent can be used as feature data, so feature extraction is performed on the detection data and operating condition data, that is, feature data in the detection data and operating condition data are obtained, such as the instantaneous flow rate of dosing, reagent reserves, coal calorific value, unit load, water pH value, COD, water turbidity, and harmful gas concentration data as feature data.

[0055] S204: Input the extracted feature data into the association model, and the association model outputs the first drug dosage based on the feature data.

[0056] It can be understood that the correlation model includes the correlation between coal quality, unit load and reagent dosage, and the coal quality can be directly reflected by the calorific value of coal. For example, the coal quality corresponding to the current calorific value of coal can be determined through the mapping relationship between the calorific value of coal and coal quality. Therefore, the corresponding reagent dosage can be determined through the calorific value of coal, unit load and related correlation relationships; further, the reagent dosage can be adaptively adjusted according to the influence of other characteristic data on the reagent dosage. For example, when the concentration of harmful gases is high, the dosage of reagents for absorbing harmful gases can be increased, and when the turbidity is high, the dosage of reagents such as coagulants can be increased to reduce the turbidity.

[0057] In some implementations, the mapping relationship between each feature data and the corresponding drug dosage can be determined based on historical data, and all mapping relationships can be learned based on the association model. Therefore, after the feature data is input into the association model, the association model queries and determines the association relationship based on the feature data to obtain the corresponding first drug dosage, which may include the drug dosage of one or more types of drugs.

[0058] S205: Determine a dosing strategy based on the first drug dosage, and add the drug based on the dosing strategy.

[0059] In some implementations, the current remaining amount of medicine can be determined; the remaining amount of medicine refers to the amount of medicine that is still available for use at the previous moment; therefore, the amount of medicine to be added can be determined based on the first medicine dosage and the remaining amount of medicine; and the medicine is added according to the amount of medicine to be added.

[0060] It can be understood that if there are multiple types of reagents to be added, the amount of each type of reagent to be added is obtained, and the reagents are added based on the amount of each reagent to be added. By acquiring real-time data and determining the dosing strategy, the changes in the dosing metering can be automatically determined when the coal quality changes during reagent addition, thereby formulating a new dosing strategy for real-time reagent addition and improving the response time of reagent addition.

[0061] Furthermore, the total medication usage within a preset time period can be obtained; the dosage deviation can be determined based on the difference between the total medication usage and the benchmark dosage. For example, if the preset time period is one day, the total medication usage within one day and the benchmark medication usage within one day are obtained, and the dosage deviation is determined based on the difference between the total medication usage and the benchmark dosage. The dosage deviation can be the percentage of the difference to the benchmark dosage. In response to the dosage deviation being greater than the preset deviation, the dosage deviation is sent to the visualization platform for display, and an abnormal medication use alert is triggered. For example, if the preset deviation is 15%, when the dosage deviation within one day is greater than 15%, the current medication is determined to be abnormal, the dosage deviation is sent to the visualization platform for display, and an abnormal medication use alert is triggered to alert staff.

[0062] Furthermore, the drug usage can be periodically counted to obtain the total cycle drug usage; based on the total cycle drug usage and the preset drug usage, a drug usage comparison chart is generated and sent to the visualization platform for display; for example, if each month is a cycle, the monthly drug usage is counted to obtain the monthly total drug usage, the preset monthly drug usage is obtained, and the monthly total drug usage and the preset monthly drug usage are counted to generate a drug usage comparison chart, such as a line chart, which is sent to the visualization platform for display, so that the staff can intuitively view the difference between the planned drug usage and the actual consumption for each month, and a monthly statistical report can also be generated for storage to facilitate subsequent data tracing and review.

[0063] In some implementations, the hash value of key data can also be written into the Ethereum public chain. Key data, for example, is data that cannot be changed at will. It is stored through the Ethereum public chain to ensure that the data cannot be tampered with and is traceable.

[0064] In some implementations, a virtual power plant simulation model can also be established based on the above-mentioned method for determining the dosage of environmental protection agents in coal-fired power plants to simulate the environmental and economic impacts of dosing strategies under different coal qualities, and adjust the dosing strategy based on the actual power plant to improve the economy and practicality of the use of drugs in coal-fired power plants. For example, through the deployment of this application in an actual coal-fired power plant, the monthly consumption of desulfurizer (limestone) in the coal-fired power plant is reduced from 825±35 tons to 702±18 tons (a decrease of 14.9%), and the volatility of scale inhibitor consumption is compressed from 22.3% to 6.7%, saving approximately RMB 2.17 million in annual agent costs.

[0065] In this embodiment, the detection data sent by the detection equipment and the operating condition data of the coal-fired power plant are received, and an association model is called. The association model is established by the association relationship between coal quality, unit load and reagent consumption, and feature data in the detection data and the operating condition data are extracted. Based on the feature data and the association model, the mapping relationship between each feature data and the reagent dosage is queried and confirmed, so that the reagent dosage of one or more types of reagents is obtained based on the association model, and the first reagent dosage is obtained; the reagent to be added is determined based on the remaining reagent dosage and the first reagent dosage, and then the reagent is added according to the reagent to be added to avoid reagent waste. At the same time, the monthly reagent dosage can be counted and abnormal reagent usage warning can be realized to ensure the economy and environmental protection of the coal-fired power plant, realize rapid verification of the reagent dosage, and more adaptively adjust the dosing strategy according to different coal quality conditions to ensure the accuracy of the amount of reagent to be added.

[0066] In order to implement the above embodiment, the present application also proposes a device for determining the amount of environmental protection agent used in a coal-fired power plant.

[0067] Figure 3 This is a schematic diagram of a device for determining the amount of environmental protection agent used in a coal-fired power plant provided in an embodiment of the present application. Figure 3 As shown, the device 300 for determining the amount of environmental protection agent used in a coal-fired power plant includes:

[0068] The receiving module 301 is used to receive the detection data and the operating parameters of the coal-fired power plant sent by the detection equipment;

[0069] An analysis module 302 is configured to call a correlation model and determine a dosage of the first agent based on the correlation model, the detection data, and the operating condition parameters;

[0070] The drug use module 303 is used to determine a drug addition strategy based on the first drug dosage, and add the drug based on the drug addition strategy.

[0071] Furthermore, in a possible implementation of the embodiment of the present application, the analysis module 302 includes:

[0072] Extract features from detection data and operating condition data;

[0073] The extracted feature data is input into the association model, and the association model outputs the first drug dosage based on the feature data.

[0074] Furthermore, in a possible implementation of the embodiment of the present application, the detection data at least includes:

[0075] Based on the pH value, chemical oxygen demand (COD), turbidity and harmful gas concentration detected by online water quality analyzer;

[0076] The weight of the pharmaceutical tank is detected by a load cell;

[0077] Instantaneous flow rate of the dosing line detected by electromagnetic flowmeter.

[0078] Furthermore, in a possible implementation of the embodiment of the present application, the operating condition parameters include at least the calorific value of the coal and the unit load.

[0079] Furthermore, in a possible implementation of the embodiment of the present application, the drug use module 303 includes:

[0080] Determine the current remaining amount of medicine;

[0081] Determining the amount of medicine to be added based on the amount of the first medicine used and the remaining amount of the medicine;

[0082] Add medicine according to the amount to be added.

[0083] Furthermore, in a possible implementation of the embodiment of the present application, the apparatus 300 further includes:

[0084] Get the total dosage of medicine within the preset time;

[0085] The dosage deviation is determined based on the difference between the total dosage and the benchmark dosage;

[0086] In response to the dosage deviation being greater than the preset deviation, the dosage deviation is sent to the visualization platform for display, and an abnormal medication warning is triggered.

[0087] Furthermore, in a possible implementation of the embodiment of the present application, the apparatus 300 further includes:

[0088] Periodically calculate the dosage of medicine to obtain the total dosage of medicine in the period;

[0089] Based on the total cycle dosage and the preset dosage, a medication comparison chart is generated and sent to the visualization platform for display.

[0090] It should be noted that the above explanation of the embodiment of the method for determining the amount of environmental protection agent for a coal-fired power plant is also applicable to the device for determining the amount of environmental protection agent for a coal-fired power plant of this embodiment, and will not be repeated here.

[0091] In an embodiment of the present application, the detection data sent by the detection equipment and the operating condition data of the coal-fired power plant are received, and an association model is called. The association model is established by the association relationship between coal quality, unit load and reagent consumption, and feature data in the detection data and the operating condition data are extracted. The mapping relationship between each feature data and the reagent dosage is queried and confirmed based on the feature data and the association model, so that the reagent dosage of one or more types of reagents is obtained based on the association model, and the first reagent dosage is obtained; the reagent to be added is determined based on the remaining reagent dosage and the first reagent dosage, and then the reagent is added according to the reagent to be added to avoid reagent waste. At the same time, the monthly reagent dosage can be counted and abnormal reagent usage warning can be realized to ensure the economy and environmental protection of the coal-fired power plant's medication, realize rapid verification of the reagent dosage, and more adaptively adjust the dosing strategy according to different coal quality conditions to ensure the accuracy of the amount of reagent to be added.

[0092] In order to implement the above embodiments, the present application also proposes an electronic device, comprising: a processor, and a memory communicatively connected to the processor; the memory stores computer-executable instructions; the processor executes the computer-executable instructions stored in the memory to implement the method provided by the above embodiments.

[0093] In order to implement the above embodiments, the present application also proposes a computer-readable storage medium, in which computer-executable instructions are stored. When the computer-executable instructions are executed by a processor, they are used to implement the methods provided by the above embodiments.

[0094] In order to implement the above embodiments, the present application also proposes a computer program product, including a computer program, which implements the methods provided by the above embodiments when executed by a processor.

[0095] The collection, storage, use, processing, transmission, provision and disclosure of user personal information involved in this application are in compliance with relevant laws and regulations and do not violate public order and good morals.

[0096] It is important to note that personal information collected from users should be used for legitimate and reasonable purposes and should not be shared or sold beyond these legitimate uses. Furthermore, such collection / sharing should be conducted only after receiving the user's informed consent, including but not limited to notifying the user to read the user agreement / user notice and sign an agreement / authorization that includes the relevant user information before using the feature. Furthermore, any necessary steps must be taken to safeguard and secure access to such personal information and ensure that others with access to personal information comply with its privacy policy and procedures.

[0097] This application contemplates providing implementations that allow users to selectively block the use or access of personal information data. Specifically, this disclosure contemplates providing hardware and / or software to prevent or block access to such personal information data. Risks can be minimized by limiting data collection and deleting data once it is no longer needed. Furthermore, where applicable, such personal information can be de-identified to protect user privacy.

[0098] In the descriptions of the foregoing embodiments, the reference terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" mean that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic expressions of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, unless they are mutually inconsistent.

[0099] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of the technical features being referred to. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of such features. Throughout the description of this application, "plurality" means at least two, for example, two, three, etc., unless otherwise specifically defined.

[0100] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, segment or portion of code comprising one or more executable instructions for implementing the steps of a custom logical function or process, and the scope of the preferred embodiments of the present application includes alternative implementations in which functions may be performed out of the order shown or discussed, including performing functions in a substantially simultaneous manner or in the reverse order depending on the functions involved, which should be understood by those skilled in the art to which the embodiments of the present application belong.

[0101] The logic and / or steps represented in the flowcharts or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing the logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (e.g., a computer-based system, a system including a processor, or other system that can fetch and execute instructions from an instruction execution system, apparatus, or device). For purposes of this specification, a "computer-readable medium" can be any device that can contain, store, communicate, propagate, or transport a program for use by, or in conjunction with, an instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of computer-readable media include the following: an electrical connection with one or more wires (electronic devices), a portable computer disk cartridge (magnetic device), random access memory (RAM), read-only memory (ROM), erasable and programmable read-only memory (EPROM or flash memory), fiber optic devices, and a portable compact disc read-only memory (CDROM). Furthermore, the computer-readable medium may even be paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium and then editing, interpreting or processing it in another suitable manner if necessary, and then storing it in a computer memory.

[0102] It should be understood that various parts of the present application can be implemented using hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented using software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented using hardware, as in another embodiment, any one of the following technologies known in the art or a combination thereof can be used to implement: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application-specific integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0103] Those skilled in the art will understand that all or part of the steps in the method of the above embodiment can be completed by instructing related hardware through a program, and the program can be stored in a computer-readable storage medium. When the program is executed, it includes one or a combination of the steps of the method embodiment.

[0104] In addition, the functional units in the various embodiments of the present application may be integrated into a processing module, or each unit may exist physically separately, or two or more units may be integrated into a module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of a software functional module. If the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it may also be stored in a computer-readable storage medium.

[0105] The storage medium mentioned above may be a read-only memory, a magnetic disk, or an optical disk, etc. Although the embodiments of the present application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present application. Persons skilled in the art may make changes, modifications, substitutions, and variations to the above embodiments within the scope of the present application.

Claims

1. A method for determining the dosage of environmental protection agents in coal-fired power plants, characterized in that: The method comprises: Receive detection data and operating parameters of coal-fired power plants sent by detection equipment; calling a correlation model, and determining a first agent dosage based on the correlation model, the detection data, and the operating condition parameters; A dosing strategy is determined based on the first drug dosage, and the drug is added based on the dosing strategy.

2. The method according to claim 1, characterized in that Determining a first dosage of the agent according to the correlation model, the detection data, and the operating condition parameters includes: Performing feature extraction on the detection data and the operating condition data; The extracted feature data is input into the association model, and the association model outputs the first drug dosage based on the feature data.

3. The method according to claim 2, characterized in that The detection data at least includes: Based on the pH value, chemical oxygen demand (COD), turbidity and harmful gas concentration detected by online water quality analyzer; The weight of the pharmaceutical tank is detected by a load cell; Instantaneous flow rate of the dosing line based on detection of electromagnetic flowmeter.

4. The method according to claim 2, characterized in that The operating condition parameters include at least the calorific value of the coal and the unit load.

5. The method according to any one of claims 1 to 4, characterized in that The determining of the dosing strategy based on the first dosage comprises: Determine the current remaining amount of medicine; Determining the amount of medicine to be added based on the amount of the first medicine used and the remaining amount of the medicine; Add medicine according to the amount to be added.

6. The method according to claim 5, characterized in that The method further comprises: Get the total dosage of medicine within the preset time; determining a dosage deviation based on a difference between the total dosage and the benchmark dosage; In response to the drug dosage deviation being greater than a preset deviation, the drug dosage deviation is sent to a visualization platform for display, and an abnormal medication warning is triggered.

7. The method according to claim 5, characterized in that The method further comprises: Periodically calculate the dosage of medicine to obtain the total dosage of medicine in the period; Based on the total cycle medication dosage and the preset medication dosage, a medication comparison chart is generated and sent to the visualization platform for display.

8. A device for determining the dosage of environmental protection agents in a coal-fired power plant, characterized in that: include: A receiving module, used to receive detection data sent by the detection equipment and operating parameters of the coal-fired power plant; an analysis module, configured to call a correlation model and determine a dosage of the first agent based on the correlation model, the detection data, and the operating condition parameters; The drug usage module is used to determine a drug dosing strategy based on the first drug dosage and add the drug based on the drug dosing strategy.

9. An electronic device, characterized in that: include: a processor, and a memory communicatively connected to the processor; The memory stores computer-executable instructions; The processor executes the computer-executable instructions stored in the memory to implement the method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that The computer-readable storage medium stores computer-executable instructions, which are used to implement the method according to any one of claims 1 to 7 when executed by a processor.

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