Condensable particulate matter concentration control method and device, electronic equipment and program

Abstract

The invention relates to a condensable particulate matter concentration control method and device, electronic equipment and a program. The method comprises the steps that environment parameters of a target area and operation parameters of a coal-fired unit are obtained; based on a preset condensable particulate matter concentration prediction model, the environment parameters and the operation parameters, the predicted emission concentration of the condensable particulate matters in the target area is determined; determining the emission reduction concentration of the condensable particles based on the predicted emission concentration and the standard emission concentration of the condensable particles in the target area; and based on a preset condensable particulate matter emission reduction equipment control model and the emission reduction concentration, determining operation parameters of emission reduction equipment in the deep peak regulation process of the coal-fired unit so as to control the condensable particulate matter concentration of the target area. By comparing the predicted emission concentration with the standard emission concentration, the emission reduction concentration of the target area is determined so as to determine the operation parameters of the emission reduction equipment, so that the concentration of condensable particulate matters in the target area is controlled, the environmental protection performance of a unit is improved, and the operation cost is reduced.

Description

Technical Field

[0001] The present disclosure relates to the field of coal-fired power technology, and in particular, to a method, device, electronic equipment and program for controlling the concentration of condensable particulate matter. Background Art

[0002] In the prior art, the control of condensable particulate matter of coal-fired units mostly relies on fixed emission control equipment, such as electrostatic precipitators, bag filters, and desulfurization and denitrification devices. These devices are often only optimized for full load or near full load conditions during design, and have limited flexible control capabilities under deep peak load conditions. During deep peak load, when the coal-fired unit responds to peak load and reduces the output load, the furnace temperature decreases accordingly, resulting in incomplete combustion of the fuel, increasing the emission of unburned substances and fuel nitrogen compounds, and causing the initial emission concentration of condensable particulate matter to increase. If the condensable particulate matter reduction equipment is still operating in a state of complete fuel combustion at this time, it may cause the condensable particulate matter reduction equipment to be unable to reduce the condensable particulate matter concentration to below the emission standard, thereby exacerbating the problem of air pollution. On the contrary, when the coal-fired unit responds to peak load regulation and increases its output load, the fuel is completely burned and the initial emission concentration of condensable particulate matter is reduced. If the condensable particulate matter reduction equipment is still operating in a state of incomplete fuel combustion at this time, it may lead to a reduction in the efficiency of the condensable particulate matter reduction equipment, resulting in a waste of equipment resources. This is a technical problem that urgently needs to be solved. Summary of the invention

[0003] In order to overcome the problems existing in the related art, the present disclosure provides a method, device, electronic device and program for controlling the concentration of condensable particulate matter.

[0004] According to a first aspect of an embodiment of the present disclosure, a method for controlling the concentration of condensable particulate matter is provided, comprising:

[0005] Obtain environmental parameters of the target area and operating parameters of the coal-fired units;

[0006] Determining a predicted emission concentration of condensable particulate matter in the target area based on a preset condensable particulate matter concentration prediction model, the environmental parameters, and the operating parameters;

[0007] Determining a reduced emission concentration of the condensable particulate matter based on the predicted emission concentration and a standard emission concentration of the condensable particulate matter in the target area;

[0008] Based on a preset condensable particulate matter emission reduction equipment control model and the emission reduction concentration, operating parameters of the emission reduction equipment of the coal-fired unit during deep peak regulation are determined to control the condensable particulate matter concentration in the target area.

[0009] Optionally, the obtaining of environmental parameters of the target area and operating parameters of the coal-fired unit includes:

[0010] Obtaining the output time window and output load of the coal-fired unit during deep peak regulation;

[0011] Based on the output time window, obtaining environmental parameters of the target area, wherein the environmental parameters include one or more of temperature, humidity, wind direction and wind speed;

[0012] Based on the output load and a preset coal-fired unit operating parameter database, the operating parameters of the coal-fired unit are determined, and the operating parameters include one or more of fuel type, fuel quality, combustion efficiency, unit load rate, inlet and outlet flue gas temperature, pressure and flue gas flow rate.

[0013] Optionally, the preset coal-fired unit operating parameter database includes: one or more of a basic information table of the coal-fired unit, a fuel type table, an operating parameter table, and an output load-parameter association table.

[0014] Optionally, determining the operating parameters of the emission reduction equipment of the coal-fired unit during deep peak regulation based on a preset condensable particulate matter emission reduction equipment control model and the emission reduction concentration to control the condensable particulate matter concentration in the target area includes:

[0015] Obtaining basic parameters of emission reduction equipment in the coal-fired unit;

[0016] Inputting the basic parameters and the emission reduction concentration into the preset condensable particulate matter emission reduction equipment control model to determine the operating parameters of the emission reduction equipment during the deep peak regulation process of the coal-fired unit;

[0017] Operation of the abatement device is controlled based on the operating parameters to control a concentration of condensable particulate matter in the target area.

[0018] Optionally, the method further comprises:

[0019] Based on the output time window of the coal-fired unit, determining a plurality of data collection nodes;

[0020] When the emission reduction device is operating based on the operating parameters, obtaining the real-time concentration of condensable particulate matter of the coal-fired unit at the plurality of data collection nodes;

[0021] Determining a plurality of excess-standard data collection nodes according to the real-time concentration and the standard emission concentration;

[0022] Based on the multiple exceeding-standard data collection nodes and the multiple data collection nodes, a continuity analysis is performed to determine the first concentration analysis data;

[0023] Performing a proportion analysis based on the multiple exceeding-standard data collection nodes and the multiple data collection nodes to determine the second concentration analysis data;

[0024] Based on the first concentration analysis data and the second concentration analysis data, the condensable particulate matter concentration emission result of the coal-fired unit during deep peak regulation under the control of the operating parameters of the emission reduction equipment is determined, so as to control the operation of the emission reduction equipment through the emission result.

[0025] Optionally, determining the condensable particulate matter concentration emission result of the coal-fired unit under the control of the operating parameters of the emission reduction device during the deep peak regulation process based on the first concentration analysis data and the second concentration analysis data, so as to control the operation of the emission reduction device through the emission result, includes:

[0026] Comparing the first concentration analysis data with a preset first concentration analysis threshold, and comparing the second concentration analysis data with a preset second concentration analysis threshold, to determine the condensable particulate matter concentration emission result of the coal-fired unit under the control of the operating parameters of the emission reduction equipment during the deep peak regulation process;

[0027] When the condensable particulate matter concentration emission result is qualified, the emission reduction device operates with the operating parameters;

[0028] When the condensable particulate matter concentration emission result is unqualified, the operation parameters of the emission reduction device are determined by determining the reduced emission concentration of the condensable particulate matter to control the operation of the emission reduction device.

[0029] According to a second aspect of an embodiment of the present disclosure, there is provided a condensable particulate matter concentration control device, comprising:

[0030] An acquisition module is used to obtain environmental parameters of the target area and operating parameters of the coal-fired unit;

[0031] A first determination module, configured to determine a predicted emission concentration of condensable particulate matter in the target area based on a preset condensable particulate matter concentration prediction model, the environmental parameters, and the operating parameters;

[0032] A second determination module, configured to determine a reduced emission concentration of the condensable particulate matter based on the predicted emission concentration and a standard emission concentration of the condensable particulate matter in the target area;

[0033] A control module is used to determine the operating parameters of the emission reduction equipment in the coal-fired unit based on a preset condensable particulate matter emission reduction equipment control model and the emission reduction concentration to control the condensable particulate matter concentration in the target area.

[0034] According to a third aspect of an embodiment of the present disclosure, there is provided an electronic device, including:

[0035] a memory having a computer program stored thereon;

[0036] A processor is used to execute the computer program in the memory to implement the steps of the condensable particulate matter concentration control method described in the first aspect of the embodiment of the present disclosure.

[0037] According to a fourth aspect of an embodiment of the present disclosure, a non-transitory computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps of the condensable particulate matter concentration control method described in the first aspect of the embodiment of the present disclosure are implemented.

[0038] According to a fifth aspect of an embodiment of the present disclosure, a computer program product is provided, including a computer program, which, when executed by a processor, implements the steps of the method for controlling the concentration of condensable particulate matter described in the first aspect of an embodiment of the present disclosure.

[0039] In the above technical scheme, the environmental parameters of the target area and the operating parameters of the coal-fired unit are obtained; based on a preset condensable particulate matter concentration prediction model and the environmental parameters and the operating parameters, the predicted emission concentration of condensable particulate matter in the target area is determined; based on the predicted emission concentration and the standard emission concentration of condensable particulate matter in the target area, the reduced emission concentration of the condensable particulate matter is determined; based on a preset condensable particulate matter emission reduction equipment control model and the emission reduction concentration, the operating parameters of the emission reduction equipment of the coal-fired unit during deep peak regulation are determined to control the condensable particulate matter concentration in the target area. Through the above technical scheme, based on the environmental parameters of the target area and the operating parameters of the coal-fired unit, the predicted emission concentration of condensable particulate matter in the target area is determined, and the predicted emission concentration is compared with the standard emission concentration to determine the reduced emission concentration of condensable particulate matter in the target area, so as to determine the operating parameters of the emission reduction equipment through the reduced emission concentration, thereby controlling the condensable particulate matter concentration in the target area. By utilizing the pre-constructed condensable particulate matter concentration prediction model, the predicted emission concentration of condensable particulate matter is predicted according to real-time data, thereby avoiding excessive emissions and reducing environmental pollution. This not only helps to improve the environmental protection performance of the coal-fired unit, but also reduces operating costs and improves economic benefits.

[0040] Other features and advantages of the present disclosure will be described in detail in the following detailed description. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] The accompanying drawings are used to provide a further understanding of the present disclosure and constitute a part of the specification. Together with the following specific embodiments, they are used to explain the present disclosure but do not constitute a limitation of the present disclosure. In the accompanying drawings:

[0042] Figure 1 The figure is a flow chart of a method for controlling the concentration of condensable particulate matter according to an exemplary embodiment.

[0043] Figure 2 The figure is a flow chart showing another method for controlling the concentration of condensable particulate matter according to an exemplary embodiment.

[0044] Figure 3 The figure is a flow chart showing another method for controlling the concentration of condensable particulate matter according to an exemplary embodiment.

[0045] Figure 4 The flowchart of another method for controlling the concentration of condensable particulate matter is shown according to an exemplary embodiment.

[0046] Figure 5 The flowchart of another method for controlling the concentration of condensable particulate matter is shown according to an exemplary embodiment.

[0047] Figure 6 is a block diagram of a condensable particulate matter concentration control device 600 according to an exemplary embodiment.

[0048] Figure 7 is a block diagram of an electronic device 700 according to an exemplary embodiment.

[0049] Figure 8 is a block diagram of an electronic device 800 according to an exemplary embodiment. DETAILED DESCRIPTION

[0050] Exemplary embodiments will be described in detail herein, examples of which are shown in the accompanying drawings. When the following description refers to the drawings, the same numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present disclosure. Instead, they are merely examples of devices and methods consistent with some aspects of the present disclosure as detailed in the appended claims.

[0051] It is understood that the terms "first", "second", etc. in the present disclosure are used to describe various information, but these information should not be limited to these terms. These terms are only used to distinguish the same type of information from each other, and do not indicate a specific order or importance.

[0052] It is further understood that, although the operations are described in a specific order in the drawings in the embodiments of the present disclosure, it should not be understood as requiring the operations to be performed in the specific order shown or in a serial order, or requiring the execution of all the operations shown to obtain the desired results. In certain environments, multitasking and parallel processing may be advantageous.

[0053] It should be noted that all actions of acquiring signals, information or data in the present disclosure are carried out in compliance with the relevant data protection laws and policies of the country where the device is located and with the authorization given by the owner of the corresponding device.

[0054] Figure 1 is a flow chart of a method for controlling the concentration of condensable particulate matter according to an exemplary embodiment. Figure 1 As shown, the method includes:

[0055] In step S101, environmental parameters of the target area and operating parameters of the coal-fired unit are obtained.

[0056] In step S102, based on a preset condensable particulate matter concentration prediction model, the environmental parameter and the operating parameter, a predicted emission concentration of condensable particulate matter in the target area is determined.

[0057] In step S103, the reduced emission concentration of the condensable particulate matter is determined based on the predicted emission concentration and the standard emission concentration of the condensable particulate matter in the target area.

[0058] In step S104, based on the preset condensable particulate matter emission reduction equipment control model and the emission reduction concentration, the operating parameters of the emission reduction equipment of the coal-fired unit during the deep peak regulation process are determined to control the condensable particulate matter concentration in the target area.

[0059] Exemplarily, according to the output instruction of the coal-fired unit participating in deep peak regulation issued by the power plant dispatching center, the environmental parameters of the target area for condensable particulate matter emission and the operating parameters of the coal-fired unit are obtained, the environmental parameters and the operating parameters of the coal-fired unit are input into a preset condensable particulate matter concentration prediction model, the predicted emission concentration of condensable particulate matter is output, the predicted emission concentration is compared with the standard emission concentration, and the emission reduction concentration is obtained, and the emission reduction concentration range is the predicted emission concentration minus the standard emission concentration; if the result is negative, there is actually no need for emission reduction; if it is positive, measures need to be taken to reduce emissions; the operating parameters of the condensable particulate matter emission reduction equipment are obtained, and the operating parameters and emission reduction concentration of the emission reduction equipment are input into the preset condensable particulate matter emission reduction equipment control model to determine the operating parameters of the emission reduction equipment of the coal-fired unit during the deep peak regulation process, so as to control the condensable particulate matter concentration in the target area through the emission reduction equipment, which can not only improve the environmental protection performance of the coal-fired unit, but also reduce operating costs and improve economic benefits.

[0060] Through the above technical scheme, based on the environmental parameters of the target area and the operating parameters of the coal-fired unit, the predicted emission concentration of condensable particulate matter in the target area is determined, and the predicted emission concentration is compared with the standard emission concentration to determine the reduced emission concentration of condensable particulate matter in the target area, so as to determine the operating parameters of the emission reduction equipment through the reduced emission concentration, thereby controlling the condensable particulate matter concentration in the target area. By utilizing the pre-constructed condensable particulate matter concentration prediction model, the predicted emission concentration of condensable particulate matter is predicted according to real-time data, thereby avoiding excessive emissions and reducing environmental pollution. This not only helps to improve the environmental protection performance of the coal-fired unit, but also reduces operating costs and improves economic benefits.

[0061] Figure 2 is a flow chart showing another method for controlling the concentration of condensable particulate matter according to an exemplary embodiment. Figure 2 As shown, step S101 includes:

[0062] In step S1011, the output time window and output load of the coal-fired unit during deep peak regulation are obtained.

[0063] In step S1012, based on the output time window, environmental parameters of the target area are obtained, and the environmental parameters include one or more of temperature, humidity, wind direction and wind speed.

[0064] In step S1013, the operating parameters of the coal-fired unit are determined based on the output load and the preset coal-fired unit operating parameter database, and the operating parameters include one or more of fuel type, fuel quality, combustion efficiency, unit load rate, inlet and outlet flue gas temperature, pressure and flue gas flow rate.

[0065] Exemplarily, based on the output instruction of the coal-fired unit participating in deep peak regulation issued by the power plant dispatching center, the output time window and output load of the coal-fired unit in the deep peak regulation process are obtained, the output time window is the time period in which the coal-fired unit needs to adjust the output according to the instruction, including the start and end time of the output adjustment, the output load is the target load value of the output adjustment, and the target area is the emission area of ​​condensable particulate matter within the output time window of the coal-fired unit. Based on the output time window, the environmental parameters of the target area are obtained, and the environmental parameters include one or more of temperature, humidity, wind direction and wind speed. The output load is input as an index address into the preset coal-fired unit operating parameter database for retrieval and matching, and the operating parameters of the coal-fired unit corresponding to the output load are determined, and the operating parameters include one or more of fuel type, fuel quality, combustion efficiency, unit load rate, inlet and outlet flue gas temperature, pressure and flue gas flow rate.

[0066] Optionally, the preset coal-fired unit operating parameter database includes: one or more of a basic information table of the coal-fired unit, a fuel type table, an operating parameter table, and an output load-parameter association table.

[0067] Exemplarily, the preset coal-fired unit operating parameter database is designed based on historical data of the coal-fired unit operating under different load conditions, and the historical data includes one or more of fuel type, fuel quality, combustion efficiency, unit load rate, inlet and outlet flue gas temperature, pressure, and flue gas flow rate. The database table includes a basic information table of the coal-fired unit, a fuel type table, an operating parameter table, and an output load-parameter association table. The basic information table of the coal-fired unit includes a unique identifier of the coal-fired unit and the location of the unit. The fuel type table includes the fuel type and the fuel name. The operating parameter table includes one or more of the unit load rate, inlet and outlet flue gas temperature, pressure, and flue gas flow rate. The output load-parameter association table includes the association between the output load and various parameters. Considering query efficiency and data scalability, key fields are added, such as output load setting indexes, to speed up query speed, update database content regularly, add new operating data, ensure the timeliness and accuracy of the database, set data abnormality monitoring and processing procedures in the database, and if it is found that the data deviation is too large, investigate the cause and correct it in time to ensure the accuracy of model prediction. For example, coal-fired unit A has different operating parameter records under different output loads. For example, when the output loads are 200MW, 300MW, and 400MW, the corresponding operating parameters are different. In the output load-parameter association table, each output load value corresponds to one or more records. By inputting the output load, the corresponding operating parameters can be quickly and accurately located.

[0068] Figure 3 is a flow chart showing another method for controlling the concentration of condensable particulate matter according to an exemplary embodiment. Figure 3 As shown, step S104 includes:

[0069] In step S1041, basic parameters of the emission reduction equipment in the coal-fired unit are obtained.

[0070] In step S1042, the basic parameters and the emission reduction concentration are input into the preset condensable particulate matter emission reduction equipment control model to determine the operating parameters of the emission reduction equipment during the deep peak regulation process of the coal-fired unit.

[0071] In step S1043, the operation of the emission reduction device is controlled based on the operating parameters to control the concentration of condensable particulate matter in the target area.

[0072] Exemplarily, the condensable particulate matter emission reduction equipment control model is established based on a basic framework established based on the principles of physics and chemistry combined with a machine learning model. The machine learning model includes one or more of a support vector machine, a random forest, and a neural network. The basic parameters of the emission reduction equipment in the coal-fired unit are obtained. The basic parameters include equipment type and its model specifications, maximum flue gas processing volume, maximum particulate matter removal efficiency, voltage, current, water spray volume, agent dosage, historical operating efficiency, fault records, and one or more of maintenance cycles. The basic parameters and the emission reduction concentration are input into the preset condensable particulate matter emission reduction equipment control model to obtain the operating parameters of the emission reduction equipment during the deep peak regulation process of the coal-fired unit. The operation of the emission reduction equipment is controlled based on the operating parameters to control the condensable particulate matter concentration in the target area.

[0073] Figure 4 is a flow chart of another method for controlling the concentration of condensable particulate matter according to an exemplary embodiment. Figure 4 As shown, the method also includes:

[0074] In step S105, a plurality of data collection nodes are determined based on the output time window of the coal-fired unit.

[0075] In step S106, when the emission reduction device operates based on the operating parameters, the real-time concentration of condensable particulate matter of the coal-fired unit at the multiple data collection nodes is obtained.

[0076] In step S107, a plurality of excessive-standard data collection nodes are determined according to the real-time concentration and the standard emission concentration.

[0077] In step S108, continuity analysis is performed based on the plurality of exceeding-standard data collection nodes and the plurality of data collection nodes to determine the first concentration analysis data.

[0078] In step S109, a proportion analysis is performed based on the multiple exceeding-standard data collection nodes and the multiple data collection nodes to determine the second concentration analysis data.

[0079] In step S110, based on the first concentration analysis data and the second concentration analysis data, the condensable particulate matter concentration emission result of the coal-fired unit during deep peak regulation under the control of the operating parameters of the emission reduction equipment is determined, so as to control the operation of the emission reduction equipment through the emission result.

[0080] Exemplarily, within the output time window of the coal-fired unit, a plurality of data collection time nodes are set, and when the emission reduction device is operating based on the operating parameters, the real-time concentration of condensable particulate matter of the coal-fired unit is collected according to the set multiple data collection time nodes, and the multiple collected real-time concentrations are compared with the standard emission concentration, and the data collection nodes whose real-time concentrations are greater than the standard emission concentration are taken as excessive data collection nodes, and a plurality of excessive data collection nodes are determined, and a continuity analysis is performed on the plurality of excessive data collection nodes and the plurality of data collection nodes to obtain the first concentration analysis data, and the continuity analysis refers to checking whether the excessive data presents a trend of continuous or frequent occurrence; if the excessive data appears continuously, it may mean that there is a systemic emission problem or equipment failure, which needs to be further investigated and resolved; for the plurality of excessive data collection nodes and the plurality of data collection nodes, A proportion analysis is performed to obtain the second concentration analysis data. The proportion analysis refers to calculating the proportion of the exceeding standard data in the entire output time window to evaluate the severity and impact range of the exceeding standard problem. The higher the proportion, the more serious the exceeding standard problem is, and more attention and resolution are required. The first concentration analysis data is compared with the first condensable particulate matter concentration analysis threshold, and the second concentration analysis data is compared with the second condensable particulate matter concentration analysis threshold to determine the condensable particulate matter concentration emission result of the emission reduction equipment under the control of the operating parameters. The result includes qualified or unqualified. For example, when the condensable particulate matter concentration emission result is unqualified, it is necessary to further adjust the operating parameters of the emission reduction equipment or check the equipment status to reduce the emission concentration of condensable particulate matter. When the condensable particulate matter concentration emission result is qualified, it means that the emission condition under the current operating parameter control is good and can be maintained.

[0081] Figure 5 is a flow chart of another method for controlling the concentration of condensable particulate matter according to an exemplary embodiment. Figure 5 As shown, step S110 includes:

[0082] In step S1101, the first concentration analysis data is compared with a preset first concentration analysis threshold, and the second concentration analysis data is compared with a preset second concentration analysis threshold to determine the condensable particulate matter concentration emission result of the coal-fired unit under the control of the operating parameters of the emission reduction equipment during the deep peak regulation process.

[0083] In step S1102, when the condensable particulate matter concentration emission result is qualified, the emission reduction device operates with the operating parameters.

[0084] In step S1103, when the condensable particulate matter concentration emission result is unqualified, the operation parameters of the emission reduction device are determined by determining the emission reduction concentration of the condensable particulate matter to control the operation of the emission reduction device.

[0085] Exemplarily, the first concentration analysis data is compared with a preset first concentration analysis threshold, and the second concentration analysis data is compared with a preset second concentration analysis threshold, to determine the condensable particulate matter concentration emission result of the coal-fired unit under the control of the operating parameters of the emission reduction device during the deep peak regulation process; when the condensable particulate matter concentration emission result is qualified, the emission reduction device operates with the operating parameters; when the condensable particulate matter concentration emission result is unqualified, the emission reduction concentration of the condensable particulate matter is determined to determine the operating parameters of the emission reduction device, so as to control the operation of the emission reduction device

[0086] Through the above technical scheme, based on the environmental parameters of the target area and the operating parameters of the coal-fired unit, the predicted emission concentration of condensable particulate matter in the target area is determined, and the predicted emission concentration is compared with the standard emission concentration to determine the reduced emission concentration of condensable particulate matter in the target area, so as to determine the operating parameters of the emission reduction equipment through the reduced emission concentration, thereby controlling the condensable particulate matter concentration in the target area. By utilizing the pre-constructed condensable particulate matter concentration prediction model, the predicted emission concentration of condensable particulate matter is predicted according to real-time data, thereby avoiding excessive emissions and reducing environmental pollution. This not only helps to improve the environmental protection performance of the coal-fired unit, but also reduces operating costs and improves economic benefits.

[0087] Figure 6 is a block diagram of a condensable particulate matter concentration control device 600 according to an exemplary embodiment. Figure 6 As shown, the condensable particulate matter concentration control device 600 includes: an acquisition module 601 , a first determination module 602 , a second determination module 603 , and a control module 604 .

[0088] An acquisition module 601 is used to acquire environmental parameters of a target area and operating parameters of a coal-fired unit;

[0089] A first determination module 602 is used to determine the predicted emission concentration of condensable particulate matter in the target area based on a preset condensable particulate matter concentration prediction model, the environmental parameter and the operating parameter;

[0090] A second determination module 603 is used to determine the reduced emission concentration of the condensable particulate matter based on the predicted emission concentration and the standard emission concentration of the condensable particulate matter in the target area;

[0091] The control module 604 is used to determine the operating parameters of the emission reduction equipment in the coal-fired unit based on the preset condensable particulate matter emission reduction equipment control model and the emission reduction concentration, so as to control the condensable particulate matter concentration in the target area.

[0092] Optionally, the acquisition module 601 includes: a first acquisition submodule, a second acquisition submodule and a first determination submodule;

[0093] The first acquisition submodule is used to obtain the output time window and output load of the coal-fired unit during the deep peak regulation process;

[0094] A second acquisition submodule is used to acquire environmental parameters of the target area based on the output time window, where the environmental parameters include one or more of temperature, humidity, wind direction and wind speed;

[0095] The first determination submodule is used to determine the operating parameters of the coal-fired unit based on the output load and a preset coal-fired unit operating parameter database, and the operating parameters include one or more of fuel type, fuel quality, combustion efficiency, unit load rate, inlet and outlet flue gas temperature, pressure and flue gas flow rate.

[0096] Optionally, the preset coal-fired unit operating parameter database includes: one or more of a basic information table of the coal-fired unit, a fuel type table, an operating parameter table, and an output load-parameter association table.

[0097] Optionally, the control module 604 includes: a third acquisition submodule, a second determination submodule and a first control submodule;

[0098] The third acquisition submodule is used to obtain basic parameters of the emission reduction equipment in the coal-fired unit;

[0099] A second determination submodule is used to input the basic parameter and the emission reduction concentration into the preset condensable particulate matter emission reduction equipment control model to determine the operating parameters of the emission reduction equipment of the coal-fired unit during the deep peak regulation process;

[0100] The first control submodule is used to control the operation of the emission reduction device based on the operating parameter to control the concentration of condensable particulate matter in the target area.

[0101] Optionally, the condensable particulate matter concentration control device 600 further includes: a node determination module, a concentration acquisition module, an excessive node determination module, a first analysis module, a second analysis module and a result determination module;

[0102] A node determination module, used for determining a plurality of data collection nodes based on an output time window of the coal-fired unit;

[0103] A concentration acquisition module, used for acquiring the real-time concentration of condensable particulate matter of the coal-fired unit at the multiple data acquisition nodes when the emission reduction device is operating based on the operating parameters;

[0104] An over-standard node determination module is used to determine a plurality of over-standard data collection nodes according to the real-time concentration and the standard emission concentration;

[0105] A first analysis module, configured to perform continuity analysis based on the plurality of exceeding-standard data collection nodes and the plurality of data collection nodes to determine the first concentration analysis data;

[0106] A second analysis module is used to perform a proportion analysis based on the multiple exceeding-standard data collection nodes and the multiple data collection nodes to determine the second concentration analysis data;

[0107] A result determination module is used to determine the condensable particulate matter concentration emission result of the coal-fired unit under the control of the operating parameters of the emission reduction equipment during the deep peak regulation process based on the first concentration analysis data and the second concentration analysis data, so as to control the operation of the emission reduction equipment through the emission result.

[0108] Optionally, the result determination module is used to:

[0109] The first concentration analysis data is compared with a preset first concentration analysis threshold, and the second concentration analysis data is compared with a preset second concentration analysis threshold, to determine the condensable particulate matter concentration emission result of the coal-fired unit under the control of the operating parameters of the emission reduction equipment during the deep peak regulation process;

[0110] When the condensable particulate matter concentration emission result is qualified, the emission reduction device operates with the operating parameters;

[0111] When the condensable particulate matter concentration emission result is unqualified, the operation parameters of the emission reduction device are determined by determining the reduced emission concentration of the condensable particulate matter to control the operation of the emission reduction device.

[0112] Through the above technical scheme, based on the environmental parameters of the target area and the operating parameters of the coal-fired unit, the predicted emission concentration of condensable particulate matter in the target area is determined, and the predicted emission concentration is compared with the standard emission concentration to determine the reduced emission concentration of condensable particulate matter in the target area, so as to determine the operating parameters of the emission reduction equipment through the reduced emission concentration, thereby controlling the condensable particulate matter concentration in the target area. By utilizing the pre-constructed condensable particulate matter concentration prediction model, the predicted emission concentration of condensable particulate matter is predicted according to real-time data, thereby avoiding excessive emissions and reducing environmental pollution. This not only helps to improve the environmental protection performance of the coal-fired unit, but also reduces operating costs and improves economic benefits.

[0113] Regarding the device in the above embodiment, the specific manner in which each module performs operations has been described in detail in the embodiment of the method, and will not be elaborated here.

[0114] Figure 7 FIG. 7 is a block diagram of an electronic device 700 according to an exemplary embodiment. Figure 7As shown, the electronic device 700 may include: a processor 701 and a memory 702. The electronic device 700 may also include one or more of a multimedia component 703, an input / output (I / O) interface 704, and a communication component 705.

[0115] The processor 701 is used to control the overall operation of the electronic device 700 to complete all or part of the steps in the above-mentioned condensable particulate matter concentration control method. The memory 702 is used to store various types of data to support the operation of the electronic device 700, and these data may include, for example, instructions for any application or method used to operate on the electronic device 700, and application-related data, such as contact data, sent and received messages, pictures, audio, video, etc. The memory 702 can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (Static Random Access Memory, referred to as SRAM), electrically erasable programmable read-only memory (Electrically Erasable Programmable Read-Only Memory, referred to as EEPROM), erasable programmable read-only memory (Erasable Programmable Read-Only Memory, referred to as EPROM), programmable read-only memory (Programmable Read-Only Memory, referred to as PROM), read-only memory (Read-Only Memory, referred to as ROM), magnetic memory, flash memory, magnetic disk or optical disk. The multimedia component 703 may include a screen and an audio component. The screen may be, for example, a touch screen, and the audio component is used to output and / or input audio signals. For example, the audio component may include a microphone for receiving external audio signals. The received audio signal may be further stored in the memory 702 or sent through the communication component 705. The audio component also includes at least one speaker for outputting audio signals. The I / O interface 704 provides an interface between the processor 701 and other interface modules, and the other interface modules may be keyboards, mice, buttons, etc. These buttons may be virtual buttons or physical buttons. The communication component 705 is used for wired or wireless communication between the electronic device 700 and other devices. Wireless communication, such as Wi-Fi, Bluetooth, Near Field Communication (NFC), 2G, 3G, 4G, NB-IOT, eMTC, or other 5G, etc., or a combination of one or more of them, is not limited here. Therefore, the corresponding communication component 705 may include: Wi-Fi module, Bluetooth module, NFC module, etc.

[0116] In an exemplary embodiment, the electronic device 700 can be implemented by one or more application specific integrated circuits (ASIC), digital signal processors (DSP), digital signal processing devices (DSPD), programmable logic devices (PLD), field programmable gate arrays (FPGA), controllers, microcontrollers, microprocessors or other electronic components to execute the above-mentioned condensable particulate matter concentration control method.

[0117] In another exemplary embodiment, a computer-readable storage medium including program instructions is also provided, and when the program instructions are executed by a processor, the steps of the above-mentioned condensable particulate matter concentration control method are implemented. For example, the computer-readable storage medium may be the above-mentioned memory 702 including program instructions, and the above-mentioned program instructions may be executed by the processor 701 of the electronic device 700 to complete the above-mentioned condensable particulate matter concentration control method.

[0118] Figure 8 8 is a block diagram of an electronic device 800 according to an exemplary embodiment. For example, the electronic device 800 may be provided as a server. Figure 8 The electronic device 800 includes a processor 822, which may be one or more, and a memory 832 for storing a computer program executable by the processor 822. The computer program stored in the memory 832 may include one or more modules, each corresponding to a set of instructions. In addition, the processor 822 may be configured to execute the computer program to perform the above-mentioned condensable particulate matter concentration control method.

[0119] In addition, the electronic device 800 may further include a power supply component 826 and a communication component 850, wherein the power supply component 826 may be configured to perform power management of the electronic device 800, and the communication component 850 may be configured to implement communication, for example, wired or wireless communication, of the electronic device 800. In addition, the electronic device 800 may further include an input / output (I / O) interface 828. The electronic device 800 may operate based on an operating system stored in the memory 832.

[0120] In another exemplary embodiment, a computer-readable storage medium including program instructions is also provided, and when the program instructions are executed by a processor, the steps of the above-mentioned condensable particulate matter concentration control method are implemented. For example, the non-transitory computer-readable storage medium may be the above-mentioned memory 832 including program instructions, and the above-mentioned program instructions may be executed by the processor 822 of the electronic device 800 to complete the above-mentioned condensable particulate matter concentration control method.

[0121] In another exemplary embodiment, a computer program product is also provided. The computer program product includes a computer program executable by a programmable device. The computer program has a code portion for executing the above-mentioned condensable particulate matter concentration control method when executed by the programmable device.

[0122] The preferred embodiments of the present disclosure are described in detail above in conjunction with the accompanying drawings; however, the present disclosure is not limited to the specific details in the above embodiments. Within the technical concept of the present disclosure, a variety of simple modifications can be made to the technical solution of the present disclosure, and these simple modifications all fall within the protection scope of the present disclosure.

[0123] It should also be noted that the various specific technical features described in the above specific embodiments can be combined in any suitable manner without contradiction. In order to avoid unnecessary repetition, the present disclosure will not further describe various possible combinations.

[0124] In addition, various embodiments of the present disclosure may be arbitrarily combined, and as long as they do not violate the concept of the present disclosure, they should also be regarded as the contents disclosed by the present disclosure.

Claims

1. A method for controlling the concentration of condensable particulate matter, characterized in that: include: Obtain environmental parameters of the target area and operating parameters of the coal-fired units; Determining a predicted emission concentration of condensable particulate matter in the target area based on a preset condensable particulate matter concentration prediction model, the environmental parameters, and the operating parameters; Determining a reduced emission concentration of the condensable particulate matter based on the predicted emission concentration and a standard emission concentration of the condensable particulate matter in the target area; Based on a preset condensable particulate matter emission reduction equipment control model and the emission reduction concentration, operating parameters of the emission reduction equipment of the coal-fired unit during deep peak regulation are determined to control the condensable particulate matter concentration in the target area.

2. The method according to claim 1, characterized in that: The step of obtaining the environmental parameters of the target area and the operating parameters of the coal-fired unit includes: Obtaining the output time window and output load of the coal-fired unit during deep peak regulation; Based on the output time window, obtaining environmental parameters of the target area, wherein the environmental parameters include one or more of temperature, humidity, wind direction and wind speed; Based on the output load and a preset coal-fired unit operating parameter database, the operating parameters of the coal-fired unit are determined, and the operating parameters include one or more of fuel type, fuel quality, combustion efficiency, unit load rate, inlet and outlet flue gas temperature, pressure and flue gas flow rate.

3. The method according to claim 2, characterized in that The preset coal-fired unit operating parameter database includes: one or more of a basic information table of the coal-fired unit, a fuel type table, an operating parameter table, and an output load-parameter association table.

4. The method according to claim 1, characterized in that The method of determining the operating parameters of the emission reduction equipment of the coal-fired unit during the deep peak regulation process based on the preset condensable particulate matter emission reduction equipment control model and the emission reduction concentration to control the condensable particulate matter concentration in the target area includes: Obtaining basic parameters of emission reduction equipment in the coal-fired unit; Inputting the basic parameters and the emission reduction concentration into the preset condensable particulate matter emission reduction equipment control model to determine the operating parameters of the emission reduction equipment during the deep peak regulation process of the coal-fired unit; Operation of the abatement device is controlled based on the operating parameters to control a concentration of condensable particulate matter in the target area.

5. The method according to claim 1, characterized in that The method further comprises: Based on the output time window of the coal-fired unit, determining a plurality of data collection nodes; When the emission reduction device is operating based on the operating parameters, obtaining the real-time concentration of condensable particulate matter of the coal-fired unit at the plurality of data collection nodes; Determining a plurality of excess-standard data collection nodes according to the real-time concentration and the standard emission concentration; Based on the multiple exceeding-standard data collection nodes and the multiple data collection nodes, a continuity analysis is performed to determine the first concentration analysis data; Performing a proportion analysis based on the multiple exceeding-standard data collection nodes and the multiple data collection nodes to determine the second concentration analysis data; Based on the first concentration analysis data and the second concentration analysis data, the condensable particulate matter concentration emission result of the coal-fired unit during deep peak regulation under the control of the operating parameters of the emission reduction equipment is determined, so as to control the operation of the emission reduction equipment through the emission result.

6. The method according to claim 5, characterized in that The step of determining the condensable particulate matter concentration emission result of the coal-fired unit under the control of the operating parameters of the emission reduction device during the deep peak regulation process based on the first concentration analysis data and the second concentration analysis data, so as to control the operation of the emission reduction device through the emission result, comprises: Comparing the first concentration analysis data with a preset first concentration analysis threshold, and comparing the second concentration analysis data with a preset second concentration analysis threshold, to determine the condensable particulate matter concentration emission result of the coal-fired unit under the control of the operating parameters of the emission reduction equipment during the deep peak regulation process; When the condensable particulate matter concentration emission result is qualified, the emission reduction device operates with the operating parameters; When the condensable particulate matter concentration emission result is unqualified, the operation parameters of the emission reduction device are determined by determining the reduced emission concentration of the condensable particulate matter to control the operation of the emission reduction device.

7. A device for controlling the concentration of condensable particulate matter, characterized in that: include: An acquisition module is used to obtain environmental parameters of the target area and operating parameters of the coal-fired unit; A first determination module, configured to determine a predicted emission concentration of condensable particulate matter in the target area based on a preset condensable particulate matter concentration prediction model, the environmental parameters, and the operating parameters; A second determination module, configured to determine a reduced emission concentration of the condensable particulate matter based on the predicted emission concentration and a standard emission concentration of the condensable particulate matter in the target area; A control module is used to determine the operating parameters of the emission reduction equipment in the coal-fired unit based on a preset condensable particulate matter emission reduction equipment control model and the emission reduction concentration to control the condensable particulate matter concentration in the target area.

8. An electronic device, characterized in that: include: a memory having a computer program stored thereon; A processor, configured to execute the computer program in the memory to implement the steps of the method according to any one of claims 1 to 6.

9. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

Images