Dust suppression management system and method for ash

Abstract

The invention relates to the technical field of power plant equipment operation and maintenance, and provides a dust suppression management system and method.The dust suppression management system for ash comprises a data acquisition unit, an ash recognition unit, a dust suppression simulation unit and a control command verification and execution unit; the ash features are extracted through machine learning and an artificial intelligence algorithm, dust suppression simulation is conducted, execution parameters are verified, dust suppression images are collected in real time, an image processing model is fed back and adjusted, and the dust suppression effect is improved. And automation and intelligentization of ash dust suppression management are realized.

Description

Technical Field

[0001] The present invention relates to the technical field of power plant equipment operation and maintenance, and in particular to a dust suppression management system and method for ash. Background Art

[0002] The ash dust suppression management system mainly suppresses the ash produced in the production process of the power plant to prevent the spread of dust from causing harm to the environment and human health. The ash dust suppression management system usually includes a variety of technical means such as spray dust suppression and dry fog dust suppression to adapt to different working conditions and needs. With the advancement of science and technology, the ash dust suppression management system of the power plant is also constantly upgraded and improved. For example, more efficient spray dust suppression equipment and more advanced dry fog dust suppression technology are used to improve dust suppression efficiency and reduce energy consumption. Modern power plant ash dust suppression management systems pay more and more attention to the application of automatic control technology. By introducing advanced automatic control systems, remote monitoring and intelligent scheduling of dust suppression equipment can be achieved, and the operating efficiency and stability of the system can be improved. In the design and operation of the dust suppression management system, power plants also pay great attention to environmental protection and energy saving considerations. For example, water-saving spray dust suppression equipment and energy-saving dry fog dust suppression technology are used to reduce the consumption of water resources and energy.

[0003] The ash dust suppression management system has the following technical pain points during actual use. The biggest difference between the ash dust suppression management system and other management systems is that the recognition accuracy of ash dust suppression in actual application scenarios is low. When the recognition accuracy of ash dust suppression in actual application scenarios is low due to various reasons, a large amount of erroneous data will exist in the ash dust suppression management system, resulting in reduced data processing accuracy of the ash dust suppression management system, thus making it impossible to effectively suppress the dust of ash. To solve this problem, the present invention has developed a dust suppression management system and method for ash. Summary of the invention

[0004] In view of the deficiencies in the prior art, the present invention provides a dust suppression management system and method for ash, which solves the problem that the data processing accuracy of the ash dust suppression management system is reduced, thereby failing to effectively suppress the dust of the ash.

[0005] In order to solve the above technical problems, the specific technical solutions of the present invention are as follows:

[0006] In a first aspect, the present invention provides a dust suppression management system for ash and slag, comprising:

[0007] The data acquisition unit is used to acquire the dust suppression management data of the ash, which includes the ash generation amount, ash composition data, environmental data and dust suppression equipment status data.

[0008] The ash recognition unit is used to receive the image of ash captured by the image sensor, analyze the image through the image processing model, extract the characteristics of the ash, and the characteristics of the ash include shape, color and texture. The machine learning and artificial intelligence algorithms are integrated in the dust suppression management system to process the data in the ash treatment process in real time to obtain the ash recognition results;

[0009] An ash dust suppression simulation unit is used to extract parameter data from the ash identification results to obtain an ash identification result parameter set, generate random data based on the parameters in the ash identification result parameter set to obtain a random data combination of the ash identification result parameters, and sequentially substitute the random data combination of the ash identification result parameters into a preset ash dust suppression simulation model to obtain an ash dust suppression simulation result set;

[0010] A control command verification unit is used to compare various parameters in the ash dust suppression simulation result set with preset ash dust suppression standard values, and use various parameters in the ash dust suppression simulation result that meet the preset ash dust suppression standard values ​​as execution parameters of the ash dust suppression equipment;

[0011] The control command execution unit is used to send the execution parameters of the ash dust suppression equipment to the ash dust suppression equipment, and collect real-time ash dust suppression images, identify the real-time ash dust suppression images through the ash recognition unit, obtain real-time ash suppression image recognition results, compare the real-time ash suppression image recognition results with the preset ash dust suppression standard values, and obtain real-time ash suppression comparison results. If the real-time ash suppression comparison results do not meet the preset ash dust suppression standard values, the image processing model is optimized, and the ash is identified using the optimized image processing model.

[0012] Furthermore, the ash dust suppression management system provided by the present invention, the ash dust suppression simulation unit is also used for:

[0013] Extracting parameter data from the ash identification result obtained by the ash identification unit, the parameter data including the shape of the ash, the color of the ash, the texture of the ash, environmental data and the status data of the dust suppression equipment;

[0014] Receive the actual application scenarios and dust suppression requirements of ash slag, determine the value range of ash slag dust suppression, classify the ash slag according to its actual shape, and determine the value range of various parameters for each shape;

[0015] After determining the value range of each parameter, a random number generation algorithm is used to generate a random data combination, and the generated random data combination is screened and verified. The screening process is carried out according to the preset screening conditions.

[0016] Furthermore, the ash dust suppression management system provided by the present invention, the ash dust suppression simulation unit is also used for

[0017] Acquire a simulation result set from the ash dust suppression simulation unit, the simulation result set including multiple sets of parameter data of ash dust suppression simulation;

[0018] For each set of parameters in the simulation result set, they are compared with the preset ash dust suppression standard values ​​one by one;

[0019] During the comparison process, the difference between each set of parameters and the standard value is recorded, including the size and direction of the difference;

[0020] According to the comparison results, the simulation results of judging whether the parameters meet the preset ash dust suppression standard values;

[0021] From the parameter combinations that meet the standards, the best set of simulation results is selected as the execution parameters of the ash dust suppression equipment.

[0022] Furthermore, the ash dust suppression management system provided by the present invention, the ash dust suppression simulation unit is also used for

[0023] The control command execution unit sends the execution parameters of the ash dust suppression equipment to the ash dust suppression equipment to start the dust suppression operation;

[0024] During the operation of the dust suppression equipment, the control command execution unit collects ash dust suppression images in real time through a camera or an image sensor;

[0025] The collected real-time ash dust suppression images are transmitted to the ash recognition unit, and are recognized through the image processing model to obtain the real-time ash suppression image recognition results;

[0026] Compare the real-time ash suppression image recognition results with the preset ash dust suppression standard value to evaluate whether the dust suppression effect meets the standard;

[0027] According to the comparison results, determine whether the real-time ash suppression effect meets the preset ash dust suppression standard value;

[0028] If the real-time ash suppression comparison results do not meet the preset standard values, the image processing model or dust suppression strategy is insufficient;

[0029] Based on the comparison results and judgment, the image processing model is optimized. The optimization process includes using the improved recognition algorithm training data to obtain the optimized image processing model.

[0030] The ash is re-identified using the optimized image processing model to verify the optimization effect. If the identification result after optimization still does not meet the standard value, the image processing model needs to be optimized until the maximum number of iterations is met or the optimization effect is met.

[0031] In a second aspect, the present invention provides a dust suppression management method for ash, which is applied to the dust suppression management system for ash as described above, comprising:

[0032] Step S101, obtaining dust suppression management data of ash, the dust suppression management data of ash including ash generation amount, ash composition data, environmental data and dust suppression equipment status data,

[0033] Step S102, receiving an image of ash captured by an image sensor, analyzing the image through an image processing model, extracting features of the ash, which include shape, color, and texture, integrating machine learning and artificial intelligence algorithms in the dust suppression management system, processing data in the ash treatment process in real time, and obtaining ash recognition results;

[0034] Step S103, extracting parameter data from the ash identification result to obtain an ash identification result parameter set, generating random data based on the parameters in the ash identification result parameter set to obtain a random data combination of the ash identification result parameters, and sequentially substituting the random data combination of the ash identification result parameters into a preset ash dust suppression simulation model to obtain an ash dust suppression simulation result set;

[0035] Step S104, comparing various parameters in the ash dust suppression simulation result set with preset ash dust suppression standard values, and using various parameters in the ash dust suppression simulation result that meet the preset ash dust suppression standard values ​​as execution parameters of the ash dust suppression equipment;

[0036] Step S105, sending the execution parameters of the ash dust suppression equipment to the ash dust suppression equipment, and collecting real-time ash dust suppression images, identifying the real-time ash dust suppression images through the ash recognition unit to obtain real-time ash suppression image recognition results, comparing the real-time ash suppression image recognition results with the preset ash dust suppression standard values ​​to obtain real-time ash suppression comparison results, if the real-time ash suppression comparison results do not meet the preset ash dust suppression standard values, optimizing the image processing model, and using the optimized image processing model to identify the ash.

[0037] Furthermore, the dust suppression management method for ash provided by the present invention, step S103, comprises:

[0038] Extract parameter data from the ash recognition result obtained in step S102, the parameter data including the shape of the ash, the color of the ash, the texture of the ash, environmental data, and the status data of the dust suppression equipment;

[0039] Receive the actual application scenarios and dust suppression requirements of ash slag, determine the value range of ash slag dust suppression, classify the ash slag according to its actual shape, and determine the value range of various parameters for each shape;

[0040] After determining the value range of each parameter, a random number generation algorithm is used to generate a random data combination, and the generated random data combination is screened and verified. The screening process is carried out according to the preset screening conditions.

[0041] Furthermore, the dust suppression management method for ash provided by the present invention, step S104, comprises:

[0042] Acquire a simulation result set from step S103, the simulation result set including multiple sets of parameter data for ash dust suppression simulation;

[0043] For each set of parameters in the simulation result set, they are compared with the preset ash dust suppression standard values ​​one by one;

[0044] During the comparison process, the difference between each set of parameters and the standard value is recorded, including the size and direction of the difference;

[0045] According to the comparison results, the simulation results of judging whether the parameters meet the preset ash dust suppression standard values;

[0046] From the parameter combinations that meet the standards, the best set of simulation results is selected as the execution parameters of the ash dust suppression equipment.

[0047] Furthermore, the dust suppression management method for ash provided by the present invention, step S105, comprises:

[0048] Step S105 sends the execution parameters of the ash dust suppression equipment to the ash dust suppression equipment to start the dust suppression operation;

[0049] During the operation of the dust suppression equipment, step S105 collects ash dust suppression images in real time through a camera or an image sensor;

[0050] The collected real-time ash dust suppression image is transmitted to step S102, and is identified by an image processing model to obtain a real-time ash dust suppression image recognition result;

[0051] Compare the real-time ash suppression image recognition results with the preset ash dust suppression standard value to evaluate whether the dust suppression effect meets the standard;

[0052] According to the comparison results, determine whether the real-time ash suppression effect meets the preset ash dust suppression standard value;

[0053] If the real-time ash suppression comparison results do not meet the preset standard values, the image processing model or dust suppression strategy is insufficient;

[0054] Based on the comparison results and judgment, the image processing model is optimized. The optimization process includes using the improved recognition algorithm training data to obtain the optimized image processing model.

[0055] The ash is re-identified using the optimized image processing model to verify the optimization effect. If the identification result after optimization still does not meet the standard value, the image processing model needs to be optimized until the maximum number of iterations is met or the optimization effect is met.

[0056] The beneficial effects of the present invention are mainly reflected in the following aspects:

[0057] The present invention integrates machine learning and artificial intelligence algorithms to process data in the ash treatment process in real time, thereby improving the accuracy and efficiency of data processing, thereby being able to more effectively suppress ash dust. The ash dust suppression simulation unit is used to extract parameter data and generate random data from the ash identification results, simulate multiple dust suppression scenarios, and thus find the optimal dust suppression strategy to improve the dust suppression effect.

[0058] During the operation of the dust suppression equipment, ash and dust suppression images are collected in real time and identified by the ash recognition unit. The identification results are compared with the preset standard values. The image processing model is optimized based on the comparison results to form a closed-loop feedback mechanism to enhance the continuous improvement of dust suppression effects.

[0059] Through accurate ash identification and parameter extraction, erroneous data caused by identification errors are reduced, and the stability and reliability of the system are improved. By integrating advanced machine learning and artificial intelligence algorithms, the system can automatically learn and optimize dust suppression strategies, improving the intelligence level of the system.

[0060] The present invention pays attention to environmental protection and energy saving considerations. By optimizing dust suppression strategies and equipment parameters, it reduces the consumption of water resources and energy, and helps to achieve sustainable development. Through effective ash dust suppression management, equipment failures and downtime caused by dust diffusion are reduced, and the operating efficiency and economic benefits of the power plant are improved. Effective ash dust suppression management reduces dust pollution to the environment and harm to human health, and improves the working environment of the power plant.

[0061] Through real-time monitoring and feedback adjustment, equipment failures can be discovered and resolved in a timely manner, reducing maintenance costs. The present invention provides an innovative ash and slag dust suppression management system and method, providing new ideas and directions for the development of power plant equipment operation and maintenance technology.

[0062] In summary, the present invention solves the problems existing in the existing ash and dust suppression management system by improving data processing accuracy, optimizing dust suppression strategies, real-time feedback and adjustment, reducing the impact of erroneous data, enhancing the intelligence level of the system, paying attention to environmental protection and energy saving, improving power plant operation efficiency, improving working environment, reducing maintenance costs and promoting technological innovation, and has made positive contributions to the development of power plant equipment operation and maintenance technology. BRIEF DESCRIPTION OF THE DRAWINGS

[0063] In order to more clearly illustrate the technical solution of the present invention, the following briefly introduces the drawings required for use in the embodiments. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0064] Figure 1 A schematic diagram of a dust suppression management method for ash provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0065] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described in conjunction with the specific embodiments of the present invention and the corresponding drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention. The technical solutions provided by the embodiments of the present invention are described in detail below in conjunction with the drawings.

[0066] In order to better understand the purpose of the present invention, the present invention is described in further detail below.

[0067] In a first aspect, the present invention provides a dust suppression management system for ash and slag, comprising:

[0068] The data acquisition unit is used to acquire the dust suppression management data of the ash, which includes the ash generation amount, ash composition data, environmental data and dust suppression equipment status data.

[0069] Ash generation: refers to the amount of ash generated during the production process of a power plant. Understanding the amount of ash generation helps evaluate the demand for dust suppression equipment and its effectiveness.

[0070] Ash composition data: Ash composition data is crucial for selecting appropriate dust suppression methods and equipment. Ashes with different compositions require different dust suppression strategies.

[0071] Environmental data: Environmental data includes temperature, humidity, wind speed, etc. Environmental data will affect the dust suppression effect. Obtaining environmental data can help the system adjust the dust suppression strategy to adapt to different environmental conditions.

[0072] Dust suppression equipment status data: The status data of dust suppression equipment includes the operating status of the equipment, fault information, etc. The status data of dust suppression equipment is crucial for timely maintenance and repair of equipment and improving the normal operation of the dust suppression system.

[0073] By collecting these key information, the data acquisition unit provides basic data support for subsequent ash identification, dust suppression simulation and equipment control, thereby improving the effectiveness and accuracy of the entire dust suppression management system.

[0074] The ash recognition unit is used to receive the image of ash captured by the image sensor, analyze the image through the image processing model, extract the characteristics of the ash, and the characteristics of the ash include shape, color and texture. The machine learning and artificial intelligence algorithms are integrated in the dust suppression management system to process the data in the ash treatment process in real time to obtain the ash recognition results;

[0075] The ash recognition unit is one of the core components in the dust suppression management system. Its main function is to receive the ash images captured by the image sensor and conduct in-depth analysis of these images through advanced image processing models. The following is a detailed description of the ash recognition unit:

[0076] The ash recognition unit first uses an image sensor to capture images of ash, which contain various features of ash, such as shape, color and texture. Subsequently, the image processing model in the ash recognition unit will carefully analyze these images to extract the key features of ash.

[0077] Shape: The shape of ash varies depending on the source and process conditions. The image processing model can identify and classify these different shapes, providing an important basis for subsequent dust suppression treatment.

[0078] Color: The color of ash is also one of its important characteristics. Different ash composition and combustion conditions lead to color changes. Through color analysis, we can further understand the nature and source of ash.

[0079] Texture: The texture of the ash reflects its internal structure and composition. The image processing model can capture these texture features, thus helping the system to more accurately identify the ash type.

[0080] In the dust suppression management system, the ash identification unit integrates advanced machine learning and artificial intelligence algorithms. These algorithms can process data from the ash treatment process in real time and quickly obtain ash identification results. Through continuous learning and optimization, these algorithms can gradually improve the accuracy and efficiency of identification.

[0081] With the help of machine learning and artificial intelligence algorithms, the ash identification unit can more accurately identify the type and characteristics of ash, providing more precise guidance for dust suppression. The ash identification unit can process data from the ash treatment process in real time, so that dust suppression measures can be implemented in a timely and effective manner. By accurately identifying the characteristics of ash, the system can adjust the dust suppression strategy according to the actual situation, thereby achieving better dust suppression effects.

[0082] In summary, the ash identification unit plays a vital role in the dust suppression management system. It can not only accurately identify the characteristics of ash, but also provide strong support for the optimization and improvement of the system. With the continuous advancement of technology and the continuous optimization of algorithms, the performance of the ash identification unit will be further improved, bringing more significant effects to dust suppression management.

[0083] An ash dust suppression simulation unit is used to extract parameter data from the ash identification results to obtain an ash identification result parameter set, generate random data based on the parameters in the ash identification result parameter set to obtain a random data combination of the ash identification result parameters, and sequentially substitute the random data combination of the ash identification result parameters into a preset ash dust suppression simulation model to obtain an ash dust suppression simulation result set;

[0084] The ash dust suppression simulation unit conducts in-depth simulation and analysis based on the identification results provided by the ash identification unit to optimize the dust suppression strategy. The following is a detailed description of the unit:

[0085] The ash dust suppression simulation unit first extracts parameter data from the ash identification results, including the shape, color, texture, and composition of the ash. Then, the unit uses these parameter data to generate random data combinations to simulate the state of the ash under different conditions.

[0086] The ash dust suppression simulation unit accurately extracts various key parameters from the ash identification results to form a set of ash identification result parameters. Based on the extracted parameter set, the unit generates random data to obtain multiple sets of random data combinations of ash identification result parameters. This step improves the breadth and representativeness of the simulation and can cover various states of ash.

[0087] Substitute the generated random data combinations into the preset ash dust suppression simulation model in turn. This model is built based on physical, chemical or mathematical principles and can simulate the behavior of ash in the dust suppression process. Through the calculation of the simulation model, multiple groups of ash dust suppression simulation results are obtained. These results constitute the ash dust suppression simulation result set, which provides basic data for subsequent comparison and optimization.

[0088] By simulating the dust suppression effect of ash under different conditions, the optimal dust suppression strategy can be found to improve the dust suppression efficiency. Compared with the actual dust suppression experiment, the simulation unit can greatly reduce the experimental cost and time, and accelerate the research and development process of dust suppression technology.

[0089] As an important part of the dust suppression management system, the accuracy and efficiency of the ash dust suppression simulation unit directly affect the performance of the entire system. By continuously optimizing the simulation unit, the level of the entire dust suppression management system can be improved.

[0090] In summary, the ash dust suppression simulation unit plays a vital role in the dust suppression management system. It can not only simulate the dust suppression effect of ash under different conditions, but also provide strong support for optimizing dust suppression strategies, reducing experimental costs and improving system performance. With the continuous advancement of technology and continuous optimization of algorithms, the performance of the ash dust suppression simulation unit will be further improved, bringing more significant effects to dust suppression management.

[0091] A control command verification unit is used to compare various parameters in the ash dust suppression simulation result set with preset ash dust suppression standard values, and use various parameters in the ash dust suppression simulation result that meet the preset ash dust suppression standard values ​​as execution parameters of the ash dust suppression equipment;

[0092] The control command verification unit is responsible for improving the operating parameters of the ash dust suppression equipment in the ash dust suppression system to meet the preset standards, so as to achieve the best dust suppression effect. The following is a detailed description of the control command verification unit:

[0093] The core function of the control command verification unit is to compare the various parameters in the ash dust suppression simulation result set with the preset ash dust suppression standard values. This comparison process is based on high precision and strict standards to ensure that the final selected execution parameters can meet the dust suppression requirements.

[0094] The comparison process extracts various parameters from the ash dust suppression simulation result set, including dust suppression efficiency, energy consumption, equipment operating status, etc. These parameters are compared with the preset ash dust suppression standard values. These standard values ​​are usually set based on comprehensive considerations such as industry specifications, equipment performance, and environmental protection requirements. During the comparison process, parameters that meet the preset standard values ​​are screened out. These parameters will be regarded as ash dust suppression equipment execution parameters to guide the actual operation of the equipment.

[0095] By comparing and screening, the operating parameters of the ash dust suppression equipment can be improved to meet the preset standards, thereby ensuring that the dust suppression effect reaches the expected goal. The selected execution parameters are usually based on optimization considerations, which can improve the operating efficiency of the equipment and reduce energy consumption and costs.

[0096] The preset ash dust suppression standard values ​​usually include environmental protection requirements, so the selected execution parameters also meet environmental protection standards and help reduce environmental pollution. The implementation of the control command verification unit usually requires the use of intelligent technologies, such as big data analysis, artificial intelligence algorithms, etc. The application of these technologies can improve the intelligent management level of the ash dust suppression system.

[0097] In practical applications, the control command verification unit usually forms a complete ash dust suppression system together with the ash dust suppression simulation unit and the ash identification unit. For example, in the dust suppression system of a mine, the control command verification unit successfully screened out the optimal execution parameters by comparing the simulation results with the preset standard values. The optimal execution parameters were applied to the actual dust suppression equipment, achieving significant dust suppression effects and improving equipment operation efficiency.

[0098] In summary, the control command verification unit is an indispensable part of the ash dust suppression system. It compares and screens the operating parameters of the ash dust suppression equipment to meet the preset standards, thereby ensuring the dust suppression effect, improving equipment efficiency and meeting environmental protection requirements. With the continuous advancement of technology and the application of intelligent technology, the performance of the control command verification unit will be further improved, providing strong support for the optimization and development of the ash dust suppression system.

[0099] The control command execution unit is used to send the execution parameters of the ash dust suppression equipment to the ash dust suppression equipment, and collect real-time ash dust suppression images, identify the real-time ash dust suppression images through the ash recognition unit, obtain real-time ash suppression image recognition results, compare the real-time ash suppression image recognition results with the preset ash dust suppression standard values, and obtain real-time ash suppression comparison results. If the real-time ash suppression comparison results do not meet the preset ash dust suppression standard values, the image processing model is optimized, and the ash is identified using the optimized image processing model.

[0100] The control command execution unit is responsible for sending the execution parameters to the ash dust suppression equipment in the ash dust suppression system, and collecting ash dust suppression images in real time. The ash dust suppression images are identified by the ash dust recognition unit to obtain real-time ash dust suppression image recognition results, and compared with the preset ash dust suppression standard values. The image processing model is optimized according to the comparison results. The following is the workflow of the unit and the role and significance of each step:

[0101] The control command execution unit first sends the execution parameters that meet the preset standard values ​​selected by the control command verification unit to the ash dust suppression equipment. These parameters are the key to guiding the operation of the equipment. They enhance the equipment's ability to work in the most optimized way, thereby achieving the expected dust suppression effect. During the operation of the ash dust suppression equipment, the control command execution unit will collect ash dust suppression images in real time. These images reflect the current working status and dust suppression effect of the equipment, and are the basis for subsequent identification and comparison.

[0102] The collected real-time ash dust suppression images will be sent to the ash recognition unit for identification. The ash recognition unit uses advanced image processing technology and algorithms to analyze and process the images to obtain real-time ash suppression image recognition results. This step is the key to determining whether the current dust suppression effect meets the standards.

[0103] The real-time ash suppression image recognition result given by the ash recognition unit will be returned to the control command execution unit. The execution unit will compare this result with the preset ash dust suppression standard value to determine whether the current dust suppression effect meets expectations.

[0104] If the real-time ash suppression comparison result does not meet the preset ash dust suppression standard value, it means that the current image processing model or equipment operation status needs to be adjusted. At this time, the control command execution unit will optimize the image processing model to improve the recognition accuracy and dust suppression effect. The optimized image processing model will be used for the next ash recognition, thus forming a closed-loop feedback mechanism to continuously improve the performance of the system.

[0105] Through the above process, the control command execution unit can improve the effective operation of the ash dust suppression equipment and the realization of the dust suppression effect. It can not only collect and identify ash dust suppression images in real time, but also optimize the image processing model according to the recognition results, thereby continuously improving the dust suppression ability and intelligence level of the system.

[0106] In summary, the control command execution unit is an indispensable part of the ash dust suppression system. Through a series of operations and processes, it improves the effective operation of the ash dust suppression equipment and the realization of dust suppression effects, providing strong support for environmental protection and industrial production.

[0107] Specifically, the ash dust suppression management system provided by the present invention and the ash dust suppression simulation unit are further used for:

[0108] Extracting parameter data from the ash identification result obtained by the ash identification unit, the parameter data including the shape of the ash, the color of the ash, the texture of the ash, environmental data and the status data of the dust suppression equipment;

[0109] Receive the actual application scenarios and dust suppression requirements of ash slag, determine the value range of ash slag dust suppression, classify the ash slag according to its actual shape, and determine the value range of various parameters for each shape;

[0110] After determining the value range of each parameter, a random number generation algorithm is used to generate a random data combination, and the generated random data combination is screened and verified. The screening process is carried out according to the preset screening conditions.

[0111] Specifically, the ash dust suppression management system provided by the present invention and the ash dust suppression simulation unit are also used for

[0112] Acquire a simulation result set from the ash dust suppression simulation unit, the simulation result set including multiple sets of parameter data of ash dust suppression simulation;

[0113] For each set of parameters in the simulation result set, they are compared with the preset ash dust suppression standard values ​​one by one;

[0114] During the comparison process, the difference between each set of parameters and the standard value is recorded, including the size and direction of the difference;

[0115] According to the comparison results, the simulation results of judging whether the parameters meet the preset ash dust suppression standard values;

[0116] From the parameter combinations that meet the standards, the best set of simulation results is selected as the execution parameters of the ash dust suppression equipment.

[0117] Specifically, the ash dust suppression management system provided by the present invention and the ash dust suppression simulation unit are also used for

[0118] The control command execution unit sends the execution parameters of the ash dust suppression equipment to the ash dust suppression equipment to start the dust suppression operation;

[0119] During the operation of the dust suppression equipment, the control command execution unit collects ash dust suppression images in real time through a camera or an image sensor;

[0120] The collected real-time ash dust suppression images are transmitted to the ash recognition unit, and are recognized through the image processing model to obtain the real-time ash suppression image recognition results;

[0121] Compare the real-time ash suppression image recognition results with the preset ash dust suppression standard value to evaluate whether the dust suppression effect meets the standard;

[0122] According to the comparison results, determine whether the real-time ash suppression effect meets the preset ash dust suppression standard value;

[0123] If the real-time ash suppression comparison results do not meet the preset standard values, the image processing model or dust suppression strategy is insufficient;

[0124] Based on the comparison results and judgment, the image processing model is optimized. The optimization process includes using the improved recognition algorithm training data to obtain the optimized image processing model.

[0125] The ash is re-identified using the optimized image processing model to verify the optimization effect. If the identification result after optimization still does not meet the standard value, the image processing model needs to be optimized until the maximum number of iterations is met or the optimization effect is met.

[0126] In a second aspect, the present invention provides a dust suppression management method for ash, which is applied to the dust suppression management system for ash as described above, comprising:

[0127] Step S101, obtaining dust suppression management data of ash, the dust suppression management data of ash including ash generation amount, ash composition data, environmental data and dust suppression equipment status data,

[0128] Step S102, receiving an image of ash captured by an image sensor, analyzing the image through an image processing model, extracting features of the ash, which include shape, color, and texture, integrating machine learning and artificial intelligence algorithms in the dust suppression management system, processing data in the ash treatment process in real time, and obtaining ash recognition results;

[0129] Step S103, extracting parameter data from the ash identification result to obtain an ash identification result parameter set, generating random data based on the parameters in the ash identification result parameter set to obtain a random data combination of the ash identification result parameters, and sequentially substituting the random data combination of the ash identification result parameters into a preset ash dust suppression simulation model to obtain an ash dust suppression simulation result set;

[0130] Step S104, comparing various parameters in the ash dust suppression simulation result set with preset ash dust suppression standard values, and using various parameters in the ash dust suppression simulation result that meet the preset ash dust suppression standard values ​​as execution parameters of the ash dust suppression equipment;

[0131] Step S105, sending the execution parameters of the ash dust suppression equipment to the ash dust suppression equipment, and collecting real-time ash dust suppression images, identifying the real-time ash dust suppression images through the ash recognition unit to obtain real-time ash suppression image recognition results, comparing the real-time ash suppression image recognition results with the preset ash dust suppression standard values ​​to obtain real-time ash suppression comparison results, if the real-time ash suppression comparison results do not meet the preset ash dust suppression standard values, optimizing the image processing model, and using the optimized image processing model to identify the ash.

[0132] Specifically, the dust suppression management method for ash provided by the present invention, step S103, includes:

[0133] Extract parameter data from the ash recognition result obtained in step S102, the parameter data including the shape of the ash, the color of the ash, the texture of the ash, environmental data, and the status data of the dust suppression equipment;

[0134] Receive the actual application scenarios and dust suppression requirements of ash slag, determine the value range of ash slag dust suppression, classify the ash slag according to its actual shape, and determine the value range of various parameters for each shape;

[0135] After determining the value range of each parameter, a random number generation algorithm is used to generate a random data combination, and the generated random data combination is screened and verified. The screening process is carried out according to the preset screening conditions.

[0136] Specifically, the dust suppression management method for ash provided by the present invention, step S104, includes:

[0137] Acquire a simulation result set from step S103, the simulation result set including multiple sets of parameter data for ash dust suppression simulation;

[0138] For each set of parameters in the simulation result set, they are compared with the preset ash dust suppression standard values ​​one by one;

[0139] During the comparison process, the difference between each set of parameters and the standard value is recorded, including the size and direction of the difference;

[0140] According to the comparison results, the simulation results of judging whether the parameters meet the preset ash dust suppression standard values;

[0141] From the parameter combinations that meet the standards, the best set of simulation results is selected as the execution parameters of the ash dust suppression equipment.

[0142] Specifically, the dust suppression management method for ash provided by the present invention, step S105, comprises:

[0143] Step S105 sends the execution parameters of the ash dust suppression equipment to the ash dust suppression equipment to start the dust suppression operation;

[0144] During the operation of the dust suppression equipment, step S105 collects ash dust suppression images in real time through a camera or an image sensor;

[0145] The collected real-time ash dust suppression image is transmitted to step S102, and is identified by an image processing model to obtain a real-time ash dust suppression image recognition result;

[0146] Compare the real-time ash suppression image recognition results with the preset ash dust suppression standard value to evaluate whether the dust suppression effect meets the standard;

[0147] According to the comparison results, determine whether the real-time ash suppression effect meets the preset ash dust suppression standard value;

[0148] If the real-time ash suppression comparison results do not meet the preset standard values, the image processing model or dust suppression strategy is insufficient;

[0149] Based on the comparison results and judgment, the image processing model is optimized. The optimization process includes using the improved recognition algorithm training data to obtain the optimized image processing model.

[0150] The ash is re-identified using the optimized image processing model to verify the optimization effect. If the identification result after optimization still does not meet the standard value, the image processing model needs to be optimized until the maximum number of iterations is met or the optimization effect is met.

[0151] The technical solution of the present invention solves the problem that the data processing accuracy of the ash dust suppression management system is reduced, thereby failing to effectively suppress ash dust suppression by the following methods:

[0152] The present invention utilizes the ash identification unit to accurately identify the ash and extract key parameter data from the identification results. By generating random data, a set of ash identification result parameters is obtained to provide basic data for subsequent simulation and comparison.

[0153] An ash dust suppression simulation unit is set up to generate multiple sets of ash dust suppression simulation parameter data based on the extracted parameter data. Each set of parameters in the simulation result set is carefully compared with the preset ash dust suppression standard value, and the differences are recorded. Based on the size and direction of the differences, it is determined which set of parameters best meets the preset ash dust suppression standard value.

[0154] From the parameter combinations that meet the standards, select the best set of simulation results as the execution parameters of the ash dust suppression equipment. Improve the accuracy and effectiveness of the selected execution parameters through the control command verification unit. The control command execution unit sends the execution parameters to the ash dust suppression equipment to start the dust suppression operation. During the dust suppression process, the ash dust suppression image is collected in real time and identified by the ash recognition unit. Compare the real-time identification results with the preset standard values. If they do not meet the standards, optimize the image processing model. Use the optimized model to re-identify to promote the continuous improvement of the dust suppression effect.

[0155] The entire ash dust suppression process is monitored and managed through an integrated management system. Regular evaluation and optimization of system performance is performed to improve data processing accuracy and dust suppression effects.

[0156] In summary, the technical solution of the present invention effectively solves the problem of reduced data processing accuracy of the ash dust suppression management system through measures such as precise ash identification, multi-group simulation comparison, execution parameter screening and optimization, real-time monitoring and feedback adjustment, and comprehensive management and system optimization, thereby improving the effective suppression of ash dust.

[0157] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations, and the above-described embodiments of the present invention do not constitute a limitation on the scope of protection of the present invention.

Claims

1. A dust suppression management system for ash, characterized in that: include: The data acquisition unit is used to acquire the dust suppression management data of the ash, which includes the ash generation amount, ash composition data, environmental data and dust suppression equipment status data. The ash recognition unit is used to receive the image of ash captured by the image sensor, analyze the image through the image processing model, extract the characteristics of the ash, and the characteristics of the ash include shape, color and texture. The machine learning and artificial intelligence algorithms are integrated in the dust suppression management system to process the data in the ash treatment process in real time to obtain the ash recognition results; An ash dust suppression simulation unit is used to extract parameter data from the ash identification results to obtain an ash identification result parameter set, generate random data based on the parameters in the ash identification result parameter set to obtain a random data combination of the ash identification result parameters, and sequentially substitute the random data combination of the ash identification result parameters into a preset ash dust suppression simulation model to obtain an ash dust suppression simulation result set; A control command verification unit is used to compare various parameters in the ash dust suppression simulation result set with preset ash dust suppression standard values, and use various parameters in the ash dust suppression simulation result that meet the preset ash dust suppression standard values ​​as execution parameters of the ash dust suppression equipment; The control command execution unit is used to send the execution parameters of the ash dust suppression equipment to the ash dust suppression equipment, and collect real-time ash dust suppression images, identify the real-time ash dust suppression images through the ash recognition unit, obtain real-time ash suppression image recognition results, compare the real-time ash suppression image recognition results with the preset ash dust suppression standard values, and obtain real-time ash suppression comparison results. If the real-time ash suppression comparison results do not meet the preset ash dust suppression standard values, the image processing model is optimized, and the ash is identified using the optimized image processing model.

2. The dust suppression management system for ash and slag according to claim 1, characterized in that: The ash dust suppression simulation unit is also used for: Extracting parameter data from the ash identification result obtained by the ash identification unit, the parameter data including the shape of the ash, the color of the ash, the texture of the ash, environmental data and the status data of the dust suppression equipment; Receive the actual application scenarios and dust suppression requirements of ash slag, determine the value range of ash slag dust suppression, classify the ash slag according to its actual shape, and determine the value range of various parameters for each shape; After determining the value range of each parameter, a random number generation algorithm is used to generate a random data combination, and the generated random data combination is screened and verified. The screening process is carried out according to the preset screening conditions.

3. The dust suppression management system for ash and slag according to claim 1, characterized in that: The ash dust suppression simulation unit is also used Acquire a simulation result set from the ash dust suppression simulation unit, the simulation result set including multiple sets of parameter data of ash dust suppression simulation; For each set of parameters in the simulation result set, they are compared with the preset ash dust suppression standard values ​​one by one; During the comparison process, the difference between each set of parameters and the standard value is recorded, including the size and direction of the difference; According to the comparison results, the simulation results of judging whether the parameters meet the preset ash dust suppression standard values; From the parameter combinations that meet the standards, the best set of simulation results is selected as the execution parameters of the ash dust suppression equipment.

4. The dust suppression management system for ash and slag according to claim 1, characterized in that: The ash dust suppression simulation unit is also used The control command execution unit sends the execution parameters of the ash dust suppression equipment to the ash dust suppression equipment to start the dust suppression operation; During the operation of the dust suppression equipment, the control command execution unit collects ash dust suppression images in real time through a camera or an image sensor; The collected real-time ash dust suppression images are transmitted to the ash recognition unit, and are recognized through the image processing model to obtain the real-time ash suppression image recognition results; Compare the real-time ash suppression image recognition results with the preset ash dust suppression standard value to evaluate whether the dust suppression effect meets the standard; According to the comparison results, determine whether the real-time ash suppression effect meets the preset ash dust suppression standard value; If the real-time ash suppression comparison results do not meet the preset standard values, the image processing model or dust suppression strategy is insufficient; Based on the comparison results and judgment, the image processing model is optimized. The optimization process includes using the improved recognition algorithm training data to obtain the optimized image processing model. The ash is re-identified using the optimized image processing model to verify the optimization effect. If the identification result after optimization still does not meet the standard value, the image processing model needs to be optimized until the maximum number of iterations is met or the optimization effect is met.

5. A dust suppression management method for ash, applied to the dust suppression management system for ash as claimed in any one of claims 1 to 4, characterized in that: include: Step S101, obtaining dust suppression management data of ash, the dust suppression management data of ash including ash generation amount, ash composition data, environmental data and dust suppression equipment status data, Step S102, receiving an image of ash captured by an image sensor, analyzing the image through an image processing model, extracting features of the ash, which include shape, color, and texture, integrating machine learning and artificial intelligence algorithms in the dust suppression management system, processing data in the ash treatment process in real time, and obtaining ash recognition results; Step S103, extracting parameter data from the ash identification result to obtain an ash identification result parameter set, generating random data based on the parameters in the ash identification result parameter set to obtain a random data combination of the ash identification result parameters, and sequentially substituting the random data combination of the ash identification result parameters into a preset ash dust suppression simulation model to obtain an ash dust suppression simulation result set; Step S104, comparing various parameters in the ash dust suppression simulation result set with preset ash dust suppression standard values, and using various parameters in the ash dust suppression simulation result that meet the preset ash dust suppression standard values ​​as execution parameters of the ash dust suppression equipment; Step S105, sending the execution parameters of the ash dust suppression equipment to the ash dust suppression equipment, and collecting real-time ash dust suppression images, identifying the real-time ash dust suppression images through the ash recognition unit to obtain real-time ash suppression image recognition results, comparing the real-time ash suppression image recognition results with the preset ash dust suppression standard values ​​to obtain real-time ash suppression comparison results, if the real-time ash suppression comparison results do not meet the preset ash dust suppression standard values, optimizing the image processing model, and using the optimized image processing model to identify the ash.

6. The dust suppression management system for ash and slag according to claim 1, characterized in that: The step S103 includes: Extract parameter data from the ash recognition result obtained in step S102, the parameter data including the shape of the ash, the color of the ash, the texture of the ash, environmental data, and the status data of the dust suppression equipment; Receive the actual application scenarios and dust suppression requirements of ash slag, determine the value range of ash slag dust suppression, classify the ash slag according to its actual shape, and determine the value range of various parameters for each shape; After determining the value range of each parameter, a random number generation algorithm is used to generate a random data combination, and the generated random data combination is screened and verified. The screening process is carried out according to the preset screening conditions.

7. The dust suppression management system for ash and slag according to claim 1, characterized in that: The step S104 includes: Acquire a simulation result set from step S103, the simulation result set including multiple sets of parameter data for ash dust suppression simulation; For each set of parameters in the simulation result set, they are compared with the preset ash dust suppression standard values ​​one by one; During the comparison process, the difference between each set of parameters and the standard value is recorded, including the size and direction of the difference; According to the comparison results, the simulation results of judging whether the parameters meet the preset ash dust suppression standard values; From the parameter combinations that meet the standards, the best set of simulation results is selected as the execution parameters of the ash dust suppression equipment.

8. The dust suppression management system for ash and slag according to claim 1, characterized in that: The step S105 includes: Step S105 sends the execution parameters of the ash dust suppression equipment to the ash dust suppression equipment to start the dust suppression operation; During the operation of the dust suppression equipment, step S105 collects ash dust suppression images in real time through a camera or an image sensor; The collected real-time ash dust suppression image is transmitted to step S102, and is identified by an image processing model to obtain a real-time ash dust suppression image recognition result; Compare the real-time ash suppression image recognition results with the preset ash dust suppression standard value to evaluate whether the dust suppression effect meets the standard; According to the comparison results, determine whether the real-time ash suppression effect meets the preset ash dust suppression standard value; If the real-time ash suppression comparison results do not meet the preset standard values, the image processing model or dust suppression strategy is insufficient; Based on the comparison results and judgment, the image processing model is optimized. The optimization process includes using the improved recognition algorithm training data to obtain the optimized image processing model. The ash is re-identified using the optimized image processing model to verify the optimization effect. If the identification result after optimization still does not meet the standard value, the image processing model needs to be optimized until the maximum number of iterations is met or the optimization effect is met.

Images