Intelligent control and management system for spraying equipment at garbage transfer stations

Abstract

The present invention discloses an intelligent control and management system for waste transfer station spraying equipment, which relates to the technical field of waste transfer station management and aims to solve the problem of poor spraying effect. By comprehensively analyzing and fusing multiple environmental monitoring data, the present invention can comprehensively and accurately reflect the real-time status of the waste transfer station. A detailed spraying plan is formulated based on the pollution level and the recommended spraying intensity. Refined resource allocation ensures that resources are maximized while avoiding over-spraying or under-spraying. Flexible configuration and adjustment are possible according to different spraying needs and scenarios. The system has strong adaptability and can be widely used in various places requiring spraying control.

Description

Technical Field

[0001] The present invention relates to the technical field of garbage transfer station management, and in particular to an intelligent control and management system for spraying equipment in a garbage transfer station. Background Art

[0002] Garbage transfer station management refers to the standardized and systematic management of all links in the process from garbage collection to transfer, so as to achieve efficient garbage treatment and environmental protection.

[0003] Chinese patent publication number CN111796573A discloses an intelligent control system for the environment of a municipal waste transfer (recycling) station. The system automatically detects gas in the waste station and automatically analyzes and calculates the ventilation volume based on the gas concentration and the size of the waste station space. The system then cooperates with a comprehensive processing unit to control the ventilation components to automatically ventilate the waste station, achieving rational and refined ventilation adjustment of the waste station. At the same time, the system detects smoke and open flames inside the waste station and performs scene analysis to achieve targeted fire protection, thereby improving fire prevention effectiveness and enhancing safety. Although the above patent solves the problem of waste station control, the following problems still exist in actual operation:

[0004] 1. Before conducting environmental monitoring on the garbage transfer station, each sensor was not effectively monitored, resulting in sensor damage and inability to monitor.

[0005] 2. There is no targeted fusion analysis of monitoring data, which makes it impossible to accurately understand the type of anomaly.

[0006] 3. There is no effective monitoring of the entire spraying process, and no more intuitive presentation of abnormal situations, which leads to the inability to deal with abnormal situations in a timely manner. Summary of the Invention

[0007] The purpose of the present invention is to provide an intelligent control and management system for the spraying equipment of a garbage transfer station. By comprehensively analyzing and fusing multiple environmental monitoring data, it can comprehensively and accurately reflect the real-time status of the garbage transfer station, formulate a detailed spraying plan based on the pollution level and the recommended spraying intensity, and refine the resource allocation to ensure that resources are maximized while avoiding excessive or insufficient spraying. It can be flexibly configured and adjusted according to different spraying needs and scenarios, has strong adaptability, and can be widely used in various places that require spraying control, which can solve the problems in the existing technology.

[0008] To achieve the above object, the present invention provides the following technical solutions:

[0009] Intelligent control and management system for spraying equipment at garbage transfer stations, including: sensor detection unit, environmental monitoring unit, monitoring data analysis unit, control plan formulation unit, spraying control decision unit and abnormality diagnosis and early warning unit;

[0010] The sensor detection unit is used to perform performance testing on each monitoring sensor. After the performance testing, the environment of the garbage transfer station is monitored by the environmental monitoring unit. The monitoring data analysis unit is used to analyze the environmental monitoring data. The control plan formulation unit is used to formulate a spraying plan for the garbage transfer station based on the data analysis results. The implementation of the formulated plan is monitored by the spraying control decision unit. The monitoring results are diagnosed and abnormal alarms are issued by the abnormal diagnosis and early warning unit.

[0011] Preferably, the sensor detection unit is used to:

[0012] Record and perform performance testing on sensors in waste transfer stations;

[0013] Sensors include environmental sensors, sprinkler sensors, garbage dump sensors and early warning sensors;

[0014] Environmental sensors include gas sensors, dust sensors, temperature and humidity sensors, and noise sensors; sprinkler sensors include liquid level sensors, flow sensors, pressure sensors, and valve status sensors; garbage stacking sensors include ultrasonic sensors and image sensors; early warning sensors include smoke sensors, water immersion sensors, and vibration sensors;

[0015] Perform performance testing on the sensors. Performance testing involves testing the functions, parameters, and accuracy of each sensor.

[0016] After all performance tests are passed, environmental monitoring will be carried out on the garbage transfer station.

[0017] Preferably, the environmental monitoring unit is used to:

[0018] The waste transfer station is divided into unloading area, compression area, storage area, sewage area and equipment area. Environmental sensors are deployed according to the grid density, with no less than three environmental sensors per 100 square meters.

[0019] The sensor monitors each area of the garbage transfer station and obtains monitoring data after the monitoring is completed;

[0020] Preprocess the monitoring data, which includes data cleaning, data conversion, data integration, data enhancement and data verification;

[0021] After data preprocessing is completed, environmental monitoring data is obtained.

[0022] Preferably, the monitoring data analysis unit is used to:

[0023] Perform data fusion and judgment on the environmental monitoring data of each area in the garbage transfer station at the same time point;

[0024] After fusion modeling, fusion data is obtained, which includes: gas concentration and garbage accumulation data to determine whether to strengthen the spray deodorization standard; noise and vibration sensor data to determine whether the compression equipment is operating abnormally; dust concentration and air humidity to determine whether to spray dust reduction; garbage accumulation and water immersion sensors to determine whether there is a leakage risk; temperature, smoke sensors and image recognition to determine whether there is a spontaneous combustion risk; liquid level sensors, flow sensors and spray effect data to determine whether the spraying is abnormal; gas concentration and garbage type image recognition to determine whether the garbage is unsorted; noise, image and operation time to determine whether there is illegal operation behavior;

[0025] Generate a structured analysis report based on the fused data, which includes the pollution level, recommended spray intensity and priority ranking for each area;

[0026] Finally, the analysis data of the garbage transfer station is obtained.

[0027] Preferably, the control scheme formulation unit is used to:

[0028] Determine the pollution level, recommended spraying intensity and priority ranking of the waste transfer station based on the analysis results;

[0029] Among them, the higher the pollution level, the higher the priority;

[0030] Then, formulate a spraying plan based on the recommended spraying intensity for each area. The spraying plan includes the spraying water volume, spraying frequency and spraying range;

[0031] Among them, the spraying water volume is the amount of water required for each spraying determined by the degree of pollution; the spraying frequency is the time interval for starting the spraying; the spraying range is the specific areas and locations that need to be sprayed determined based on the monitoring data to ensure that all highly polluted areas are covered.

[0032] Preferably, the amount of water required for each spraying is determined according to the degree of pollution, including:

[0033] Extract the current amount of garbage accumulated in each area;

[0034] The current garbage accumulation amount of each area is combined with the maximum allowable garbage accumulation amount of each area to obtain the garbage accumulation amount ratio corresponding to each area;

[0035] Extract the current pollution level corresponding to each area;

[0036] Compare the pollution level corresponding to each area with the pollution level table in the database to obtain the level weight value corresponding to the pollution level of each area;

[0037] Extract the current gas concentration value of each area;

[0038] Compare the current gas concentration value of each area with the preset gas concentration standard value to obtain the gas concentration exceeding standard coefficient;

[0039] The amount of water required for spraying is set using the garbage accumulation ratio and the gas concentration exceeding standard coefficient.

[0040] Preferably, the amount of water required for spraying is set using the garbage accumulation ratio and the gas concentration exceeding standard coefficient, for:

[0041] Retrieve the garbage accumulation ratio and gas concentration exceeding standard coefficient;

[0042] Obtaining a pollution contribution coefficient of the garbage accumulation amount using the garbage accumulation amount ratio and the gas concentration exceeding standard coefficient; and comparing the pollution contribution coefficient of the garbage accumulation amount with a preset contribution coefficient threshold;

[0043] When the pollution contribution coefficient of the garbage accumulation amount does not exceed the preset contribution coefficient threshold, the initial spraying water volume corresponding to the current pollution level of each area is retrieved from the database as the water volume required for spraying;

[0044] When the pollution contribution coefficient of the garbage accumulation exceeds the preset contribution coefficient threshold, the pollution contribution coefficient of the garbage accumulation is combined with the gas concentration excess coefficient and the level weight value corresponding to the current pollution level of each area to obtain the amount of water required for spraying in each area.

[0045] Preferably, the control plan formulation unit is further configured to perform pollution anomaly determination on each area during the spraying process according to the formulated spraying plan, including:

[0046] During the spraying process in each area according to the established spraying plan, the gas concentration value corresponding to each unit time is monitored in real time;

[0047] Obtain the gas concentration change rate corresponding to each area based on the gas concentration value per unit time;

[0048] Extract the gas concentration value at the initial state of spray start in each area;

[0049] The standard gas concentration corresponding to the spraying of each area is compared with the gas concentration value at the initial state of the spraying start-up to obtain a gas concentration reference ratio;

[0050] Obtaining a gas concentration reduction index using a gas concentration change rate corresponding to each region and a gas concentration reference ratio;

[0051] comparing the gas concentration reduction index with a preset index threshold;

[0052] Comparing the gas concentration reduction index with a preset index threshold to obtain a continuous duration of the excess; when the continuous duration of the excess exceeds the preset time threshold, it is determined that the area is still in a serious pollution state during the spraying process, and in this case, the area is determined to be abnormally polluted;

[0053] Area alarms and location identification prompts will be issued for areas determined to be abnormally polluted.

[0054] Preferably, the control scheme formulation unit is further used to:

[0055] Allocate and dispatch resources according to the established spraying plan, including water source management, spraying equipment deployment and energy management;

[0056] Among them, water source management is to confirm that the water source in the sprinkler system meets the standard water source conditions; sprinkler equipment allocation is to dispatch specific sprinkler equipment to open or close according to the spray range and intensity; energy management is to regularly optimize energy usage;

[0057] Obtain a complete spraying plan for the garbage transfer station based on resource allocation and scheduling.

[0058] Preferably, the spray control decision unit is used to:

[0059] Generate control instructions based on the formulated spraying plan, including spraying equipment operation instructions, spraying parameter settings, and timed start and stop instructions;

[0060] Transmit the generated control instructions to the sprinkler controller of the corresponding area;

[0061] The sprinkler controller in the corresponding area receives and interprets the control instructions, executes the sprinkler operation according to the instructions, and the sprinkler equipment is turned on, off, and adjusts parameters accordingly according to the control instructions;

[0062] The sprinkler controller uses built-in sensors to monitor various parameters of the sprinkler process in real time, including sprinkler water volume, sprinkler coverage, and equipment status;

[0063] The spray water volume is used to monitor the actual amount of water used during the spraying process in real time; the spray coverage is the area covered by the spraying confirmed by the image sensor; the equipment status is used to monitor the operating status of the spraying equipment;

[0064] Finally, the spray monitoring data of the garbage transfer station is obtained.

[0065] Preferably, the abnormality diagnosis and early warning unit is used to:

[0066] Retrieve historical spray data from the database and compare the historical spray data with the real-time monitored spray data;

[0067] Among them, machine learning algorithms were used to conduct comparative analysis of the data;

[0068] Generate abnormal alarms based on comparative analysis results;

[0069] Confirm the alarm content according to the generated abnormal alarm, which includes the abnormal type, abnormal location and abnormal parameters;

[0070] After the alarm content is confirmed, the alarm level is divided into minor abnormalities, moderate abnormalities and severe abnormalities; finally, alarm notification and response are carried out according to the alarm content and alarm level.

[0071] 1. The intelligent control and management system for the sprinkler equipment in the garbage transfer station provided by the present invention detects the function, parameters and accuracy of each sensor, ensuring the reliability and accuracy of the sensor, avoiding false alarms or missed alarms due to sensor failure, and monitoring the safety status of the garbage transfer station in real time, which can promptly identify potential safety hazards and ensure the safe operation of the garbage transfer station.

[0072] 2. The intelligent control and management system for the waste transfer station spraying equipment provided by the present invention can comprehensively and accurately reflect the real-time status of the waste transfer station by comprehensively analyzing and fusing multiple environmental monitoring data. It can formulate detailed spraying plans based on the pollution level and recommended spraying intensity. The refined resource allocation can ensure that resources are maximized while avoiding over-spraying or under-spraying.

[0073] 3. The intelligent control and management system for sprinkler equipment at garbage transfer stations provided by the present invention can be flexibly configured and adjusted according to different sprinkler requirements and scenarios. It has strong adaptability and can be widely used in various places requiring sprinkler control. Through comparative analysis using machine learning algorithms, it can accurately identify anomalies or patterns in the data, thereby avoiding omissions or false alarms. BRIEF DESCRIPTION OF THE DRAWINGS

[0074] Figure 1 A schematic diagram of a unit for intelligent control and management of the spray equipment of the present invention;

[0075] Figure 2 It is a flow chart of the intelligent control and management of the spraying equipment of the present invention. DETAILED DESCRIPTION

[0076] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying 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 making creative efforts are within the scope of protection of the present invention.

[0077] In order to solve the problem in the existing technology that each sensor is not effectively monitored before the environmental monitoring of the garbage transfer station, which leads to sensor damage and inability to monitor, please refer to Figure 1 and Figure 2 , this embodiment provides the following technical solutions:

[0078] Intelligent control and management system for spraying equipment at garbage transfer stations, including: sensor detection unit, environmental monitoring unit, monitoring data analysis unit, control plan formulation unit, spraying control decision unit and abnormality diagnosis and early warning unit;

[0079] The sensor detection unit is used to perform performance testing on each monitoring sensor. After the performance testing, the environment of the garbage transfer station is monitored by the environmental monitoring unit. The monitoring data analysis unit is used to analyze the environmental monitoring data. The control plan formulation unit is used to formulate a spraying plan for the garbage transfer station based on the data analysis results. The implementation of the formulated plan is monitored by the spraying control decision unit. The monitoring results are diagnosed and abnormal alarms are issued by the abnormal diagnosis and early warning unit.

[0080] Specifically, by integrating multiple units such as sensor detection, environmental monitoring, data analysis, control plan formulation, spray control, and abnormality diagnosis and early warning, a highly automated and intelligent management of the waste transfer station's spraying equipment is achieved. The sensor detection unit can monitor the performance of each monitoring sensor in real time to ensure the accuracy and reliability of the data. The environmental monitoring unit monitors the environmental conditions of the waste transfer station, such as temperature, humidity, odor concentration, etc., in real time, providing timely and accurate data support for spray control. The abnormality diagnosis and early warning unit can monitor abnormal conditions during the spray control process in real time and issue timely alarms to prevent problems from escalating. Through in-depth analysis of the collected environmental data by the monitoring data analysis unit, the system can formulate more accurate spraying plans. The spray control decision unit implements spraying according to the formulated plan to ensure the best spraying effect while avoiding the waste of resources caused by excessive spraying.

[0081] Sensor detection unit, used for:

[0082] Record and perform performance testing on sensors in waste transfer stations;

[0083] Sensors include environmental sensors, sprinkler sensors, garbage dump sensors and early warning sensors;

[0084] Environmental sensors include gas sensors, dust sensors, temperature and humidity sensors, and noise sensors; sprinkler sensors include liquid level sensors, flow sensors, pressure sensors, and valve status sensors; garbage stacking sensors include ultrasonic sensors and image sensors; early warning sensors include smoke sensors, water immersion sensors, and vibration sensors;

[0085] Perform performance testing on the sensors. Performance testing involves testing the functions, parameters, and accuracy of each sensor.

[0086] After all performance tests are passed, environmental monitoring will be carried out on the garbage transfer station.

[0087] Specifically, environmental sensors for gas, dust, temperature, humidity, and noise provide comprehensive monitoring of environmental conditions at the waste transfer station. Sprinkler sensors ensure the proper functioning of the sprinkler system, preventing waste from fermenting and spreading odors. Garbage dump sensors use ultrasonic and image sensors to accurately monitor waste dump conditions, facilitating timely cleanup and management. Early warning sensors issue alerts when potential hazards arise, ensuring the safety of personnel and equipment. Each sensor is tested for functionality, parameters, and accuracy, ensuring reliability and accuracy, and avoiding false or missed alerts due to sensor failure. A professional performance testing process helps improve the stability and reliability of the overall monitoring system. Real-time data collection through the sensor network enables timely detection of anomalies at the waste transfer station, such as excessive waste accumulation and excessive concentrations of hazardous gases. Real-time data enables management to respond quickly and take effective measures, such as activating the sprinkler system and adjusting waste handling processes, to mitigate environmental pollution and safety hazards. The sensor network and monitoring platform enable real-time data transmission and analysis, enhancing intelligent management. Intelligent management systems automatically analyze data, predict potential problems, and provide decision support to managers. Through automated and intelligent monitoring, they reduce manual intervention and inspection frequency, lowering management costs. Real-time data and early warning information help managers quickly identify problems and improve processing efficiency.

[0088] Environmental monitoring unit for:

[0089] The waste transfer station is divided into unloading area, compression area, storage area, sewage area and equipment area. Environmental sensors are deployed according to the grid density, with no less than three environmental sensors per 100 square meters.

[0090] The sensor monitors each area of the garbage transfer station and obtains monitoring data after the monitoring is completed;

[0091] Preprocess the monitoring data, which includes data cleaning, data conversion, data integration, data enhancement and data verification;

[0092] After data preprocessing is completed, environmental monitoring data is obtained.

[0093] Specifically, by dividing the waste transfer station into unloading, compression, storage, wastewater, and equipment areas, refined monitoring of each area is achieved. This zoning helps accurately identify the environmental conditions of each area, providing strong support for subsequent environmental management. The deployment of no fewer than three environmental sensors per 100 square meters ensures comprehensive and accurate monitoring data. The high-density sensor network captures subtler environmental changes, improving monitoring sensitivity and reliability. Data preprocessing steps include data cleaning, data conversion, data integration, data enhancement, and data verification, which help improve data quality and usability. Preprocessed environmental monitoring data is more accurate and complete, providing a solid foundation for subsequent environmental assessments and decision-making. Real-time monitoring of environmental conditions in various areas of the waste transfer station ensures real-time data updates. Furthermore, efficient data processing and analysis enable rapid response to environmental changes and timely implementation of appropriate measures. Real-time monitoring and data analysis can promptly identify and address environmental pollution issues, promoting the green and sustainable development of the waste transfer station. The environmental monitoring unit provides a scientific basis for waste transfer station management. Based on this monitoring data, managers can develop more effective waste disposal strategies, optimize resource allocation, and improve work efficiency. The environmental monitoring unit also provides real-time monitoring of the safety status of waste transfer stations. For example, by monitoring environmental changes in sewage and equipment areas, potential safety hazards can be identified promptly, ensuring the safe operation of the waste transfer station.

[0094] In order to solve the problem in existing technologies that there is no targeted fusion analysis of monitoring data, which leads to the inability to accurately understand the type of anomaly, please refer to Figure 1 and Figure 2 , this embodiment provides the following technical solutions:

[0095] Monitoring data analysis unit, used for:

[0096] Perform data fusion and judgment on the environmental monitoring data of each area in the garbage transfer station at the same time point;

[0097] After fusion modeling, fusion data is obtained, which includes: gas concentration and garbage accumulation data to determine whether to strengthen the spray deodorization standard; noise and vibration sensor data to determine whether the compression equipment is operating abnormally; dust concentration and air humidity to determine whether to spray dust reduction; garbage accumulation and water immersion sensors to determine whether there is a leakage risk; temperature, smoke sensors and image recognition to determine whether there is a spontaneous combustion risk; liquid level sensors, flow sensors and spray effect data to determine whether the spraying is abnormal; gas concentration and garbage type image recognition to determine whether the garbage is unsorted; noise, image and operation time to determine whether there is illegal operation behavior;

[0098] Generate a structured analysis report based on the fused data, which includes the pollution level, recommended spray intensity and priority ranking for each area;

[0099] Finally, the analysis data of the garbage transfer station is obtained.

[0100] Specifically, by comprehensively analyzing and fusing multiple environmental monitoring data sets (such as gas concentration, garbage accumulation, noise, vibration, dust concentration, air humidity, temperature, smoke, image recognition, liquid level, and flow), the system can comprehensively and accurately reflect the real-time status of the waste transfer station. Based on this fused data, the system can automatically generate structured analysis reports, including pollution levels, recommended spraying intensities, and priority rankings, providing managers with scientific and intuitive decision-making basis. Through real-time monitoring and data analysis, the system can promptly identify potential problems (such as spraying anomalies, equipment failures, spontaneous combustion risks, and leakage risks) and issue early warnings, enabling managers to take swift measures to avoid or reduce accidents. Based on monitoring data, the system intelligently adjusts spraying intensity and frequency to avoid resource waste. Furthermore, by optimizing the waste treatment process and improving the operational efficiency of the waste transfer station, the system can significantly reduce the impact of the waste transfer station on the surrounding environment through real-time monitoring and effective intervention, improving environmental protection and complying with the requirements of sustainable development. By combining gas concentration and image recognition of garbage types, the system can determine whether special garbage is unsorted, helping to promote the advancement of garbage sorting.

[0101] Control plan formulation unit, used to:

[0102] Determine the pollution level, recommended spraying intensity and priority ranking of the waste transfer station based on the analysis results;

[0103] Among them, the higher the pollution level, the higher the priority;

[0104] Then, formulate a spraying plan based on the recommended spraying intensity for each area. The spraying plan includes the spraying water volume, spraying frequency and spraying range;

[0105] The spraying water volume is determined by the degree of pollution, and the spraying frequency is determined by the time interval between spraying starts. The spraying range is determined by the monitoring data, and the specific areas and locations that need to be sprayed are determined to ensure that all highly polluted areas are covered.

[0106] Allocate and dispatch resources according to the established spraying plan, including water source management, spraying equipment deployment and energy management;

[0107] Among them, water source management is to confirm that the water source in the sprinkler system meets the standard water source conditions; sprinkler equipment allocation is to dispatch specific sprinkler equipment to open or close according to the spray range and intensity; energy management is to regularly optimize energy usage;

[0108] Obtain a complete spraying plan for the garbage transfer station based on resource allocation and scheduling.

[0109] Specifically, detailed analysis results enable precise determination of the contamination level at the waste transfer station, enabling targeted spraying measures to be implemented. This precise control effectively reduces unnecessary resource waste and ensures timely and effective treatment of highly contaminated areas. Based on the contamination level and recommended spraying intensity, a detailed spraying plan, including water volume, frequency, and coverage, is developed. This refined resource allocation ensures maximum resource utilization while avoiding over- or under-spraying. The higher the contamination level, the higher the priority. This prioritization mechanism ensures that areas most in need of treatment are sprayed first, thereby improving overall treatment efficiency. The control plan development unit comprehensively considers multiple factors, such as contamination level, recommended spraying intensity, and resource allocation, to develop the optimal spraying plan. This intelligent management not only improves work efficiency but also reduces the potential for human error. Through precise spraying coverage and intensity, as well as regular energy optimization, the plan significantly reduces the impact of the waste transfer station on the surrounding environment. Furthermore, the use of environmental protection equipment further enhances the transfer station's environmental performance, allowing for flexible adjustments based on the pollution level and recommended spraying intensity in different areas, ensuring high adaptability. This ensures that no matter how the waste transfer station's pollution situation fluctuates, it can be promptly and effectively addressed. The control plan development unit relies on detailed monitoring data and analysis results, which makes decision-making more scientific and reasonable. Furthermore, the data management system records and compiles statistics such as waste volume, classification ratio, and treatment status, providing strong support for future optimization and improvement. Through strict water source management, sprinkler equipment deployment, and energy management, the solution ensures the safety and reliability of the sprinkler system, thus avoiding safety hazards caused by equipment failure or improper operation.

[0110] Specifically, the amount of water required for each spraying is determined based on the degree of pollution, including:

[0111] Extract the current amount of garbage accumulated in each area;

[0112] The current garbage accumulation amount of each area is combined with the maximum allowable garbage accumulation amount of each area to obtain the garbage accumulation amount ratio corresponding to each area;

[0113] Extract the current pollution level corresponding to each area;

[0114] Compare the pollution level corresponding to each area with the pollution level table in the database to obtain the level weight value corresponding to the pollution level of each area;

[0115] Extract the current gas concentration value of each area;

[0116] Compare the current gas concentration value of each area with the preset gas concentration standard value to obtain the gas concentration exceeding standard coefficient;

[0117] The amount of water required for spraying is set using the garbage accumulation ratio and the gas concentration exceeding standard coefficient.

[0118] The technical effect of the above technical solution is as follows: First, the amount of garbage accumulated in each area is extracted. This is then combined with the maximum allowable amount of garbage accumulated in that area to calculate the garbage accumulation ratio. This ratio reflects the relative extent of garbage accumulation in each area relative to the allowable amount. The greater the garbage accumulation, the larger the ratio, indicating a higher risk of pollution from garbage in that area. After extracting the pollution level for each area, the pollution level is compared with a pollution level table in a database to obtain a corresponding weighted value. Different pollution levels are assigned different weights, indicating the varying degree of pollution influences the subsequent water volume determination; the higher the pollution level, the greater the weight. Gas concentration values are obtained for each area and compared with preset standard values to determine the gas concentration excess coefficient. This coefficient reflects the deviation of gas pollution from the standard within the area; the greater the excess, the greater the coefficient. The required water volume for spraying in each area is determined by comprehensively considering factors such as the garbage accumulation ratio and the gas concentration excess coefficient. This comprehensive assessment of factors such as the area's garbage, pollution level, and gas pollution determines the appropriate water volume for spraying. This comprehensive consideration of factors such as garbage accumulation, pollution level, and gas concentration avoids water waste or insufficient spraying caused by standard spraying. For areas with heavy garbage accumulation, high pollution levels, and excessive gas concentrations, the spraying volume is increased, and in areas with light pollution, the spraying volume is reduced to achieve precise spraying and improve the efficiency of water resource utilization. Adjusting the spraying water volume according to the actual pollution conditions in different areas can control pollution in a more targeted manner. For example, areas with heavy garbage accumulation will focus on flushing garbage, areas with high pollution levels will intensify cleaning, and areas with excessive gas concentrations will improve air quality to enhance the effectiveness of pollution control. This solution can adapt to changes in pollution in different regions and at different times. Regardless of a sudden increase in garbage volume, a temporary change in pollution levels, or fluctuations in gas concentrations, the appropriate water volume can be determined by recalculating relevant parameters, giving the spraying system good adaptability to working conditions.

[0119] Specifically, the amount of water required for spraying is set using the garbage accumulation ratio and the gas concentration exceeding standard coefficient, for:

[0120] Retrieve the garbage accumulation ratio and gas concentration exceeding standard coefficient;

[0121] The pollution contribution coefficient of the garbage accumulation amount is obtained by using the garbage accumulation amount ratio and the gas concentration exceeding standard coefficient; wherein the pollution contribution coefficient of the garbage accumulation amount is obtained by the following formula:

[0122] ;

[0123] Wherein, K represents the pollution contribution coefficient of garbage accumulation; W represents the garbage accumulation ratio; A represents the gas concentration exceeding standard coefficient; a represents the accumulation nonlinear index, which is used to adjust the sensitivity of the accumulation effect, and the value range of the accumulation nonlinear index is 0.8-1.2; b represents the gas concentration correction coefficient, which is used to strengthen the superposition effect of gas pollution, and the value range of the gas concentration correction coefficient is 0.3-0.6; Specifically, The "A" in the pollution contribution coefficient represents the degree to which gas concentration exceeds the standard value. Taking the natural logarithm of A, multiplying it by the gas concentration correction factor b, and adding 1, reveals that the natural logarithm function ln(A) increases monotonically as A increases, but the rate of increase gradually slows. The gas concentration correction factor b is used to intensify this effect; larger values of b increase the more pronounced the effect of excessive gas concentration on the pollution contribution coefficient. This partially reflects the additive effect of gas pollution on the pollution accumulation pollution. The additional impact of gas pollution levels on the overall pollution contribution coefficient is measured, and the pollution contribution coefficient is adjusted based on the gas pollution situation to reflect the combined effects of gas pollution and garbage accumulation pollution. The two factors of garbage accumulation and gas pollution are combined. The garbage accumulation ratio and the gas concentration excess coefficient are calculated separately, and then the two results are multiplied together to obtain the pollution contribution coefficient K of garbage accumulation. This calculation method comprehensively considers the interrelationship between the two pollution factors, rather than a simple linear superposition. The pollution contribution coefficient K comprehensively reflects the contribution of garbage accumulation and gas pollution to the regional pollution situation. It is a quantitative indicator used to determine subsequent operations such as spraying water volume based on pollution conditions, providing a basis for pollution control decision-making. The above formula comprehensively considers the two key factors, garbage accumulation ratio and gas concentration excess coefficient, to comprehensively reflect the impact of garbage accumulation and gas pollution conditions in the area on pollution. Compared with considering only one factor, it can more accurately assess the actual pollution contribution and make the pollution contribution coefficient more accurate to the actual pollution situation. By nonlinearly adjusting the impact of garbage accumulation with the accumulation nonlinear index a and enhancing the combined effect of gas pollution with the gas concentration correction coefficient b, it is possible to more precisely characterize the contribution of different pollution factors to pollution at different levels. Even in the case of large changes in garbage accumulation or gas concentration, its impact on the pollution contribution coefficient can be accurately reflected, thus improving the accuracy of obtaining the pollution contribution coefficient. Given the range of values for a and its nonlinear characteristics, even small changes in the ratio of garbage accumulation can be reflected in the pollution contribution coefficient through exponential calculations. When the amount of garbage accumulation changes, the pollution contribution coefficient can respond promptly, sensitively reflecting the impact of garbage accumulation on pollution. In the formula, changes in the gas concentration excess coefficient A are quickly reflected in the pollution contribution coefficient through natural logarithm calculations and the correction effect of b. The pollution contribution coefficient is promptly adjusted with the slightest excess or change in gas concentration, demonstrating its high sensitivity to changes in gas pollution. By adjusting the accumulation nonlinear index a and the gas concentration correction coefficient b, the characteristics of garbage accumulation and gas pollution in different regions and environments can be adapted. For areas with significant impacts from garbage accumulation, the value of a can be appropriately increased; for areas with significant impacts from gas pollution, the value of b can be adjusted, allowing the formula to accurately obtain the pollution contribution coefficient under various pollution scenarios.

[0124] Comparing the pollution contribution coefficient of the garbage accumulation amount with a preset contribution coefficient threshold;

[0125] When the pollution contribution coefficient of the garbage accumulation amount does not exceed the preset contribution coefficient threshold, the initial spraying water volume corresponding to the current pollution level of each area is retrieved from the database as the water volume required for spraying;

[0126] When the pollution contribution coefficient of the garbage accumulation exceeds the preset contribution coefficient threshold, the amount of water required for spraying in each area is obtained by combining the pollution contribution coefficient of the garbage accumulation with the gas concentration exceeding standard coefficient and the level weight value corresponding to the current pollution level of each area;

[0127] The amount of water required for spraying is obtained by the following formula:

[0128] ;

[0129] Among them, Q represents the amount of water required for spraying; Indicates the initial spraying water volume; P indicates the level weight value corresponding to the current pollution level of each area; K indicates the pollution contribution coefficient of garbage accumulation; A indicates the gas concentration exceeding the standard coefficient; η indicates the exceeding standard correction coefficient, which is used to adjust the exceeding standard impact intensity, and the value range is 0.4-0.8; δ indicates the gas concentration suppression coefficient, which is used to suppress the interference of gas concentration mutation, and the value range is 0.5-0.7. The product of the two represents the spray water volume initially determined based on the pollution level, which is an adjustment to the basic water volume after considering the difference in pollution levels. This part determines the basic scale of the spray water volume. According to the different pollution levels in the area, the basic water volume is enlarged or reduced to reflect the basic impact of the pollution level on the spray water volume. The difference between the two represents the relative value of the degree of gas pollution exceeding the standard after comprehensively considering the contribution of garbage accumulation pollution. When δ<1, As the gas concentration increases, the growth rate of the result slows down, which plays a role in suppressing the influence of sudden changes in gas concentration on the result. That is, it prevents excessive fluctuations in the calculation results caused by sudden and significant excess of gas concentration, thus ensuring the stability of the results. The overall formula represents the additional adjustment ratio for spray water volume based on the pollution level, taking into account excessive gas concentrations and the overall pollution contribution. The above overall formula first adjusts the base spray water volume based on the pollution level. It then uses the excessive gas concentration coefficient, the pollution contribution coefficient of garbage accumulation, and the excessive gas concentration correction factor and gas concentration suppression factor to make a secondary adjustment to the spray water volume. This formula comprehensively considers multiple factors, including pollution level, garbage accumulation pollution contribution, and excessive gas pollution. Rather than a simple linear superposition, it uses specific calculations to reflect the interrelationships between these factors. This formula comprehensively reflects the regional pollution level, garbage accumulation pollution contribution, and excessive gas pollution, providing a scientific basis for actual water volume requirements in spraying operations. The formula comprehensively considers multiple factors, including pollution level, garbage accumulation pollution contribution coefficient, and excessive gas pollution coefficient, to comprehensively reflect the regional pollution situation and the demand for spray water volume. Compared to considering only a single or limited factor, it can more accurately determine spray water volume based on actual pollution conditions. For example, garbage accumulation and gas pollution levels vary across regions, and integrating these factors allows for precise determination of appropriate water volume. The system considers the garbage accumulation pollution contribution coefficient K and the gas concentration excess coefficient A, as well as their relationship, and adjusts the spray water volume based on the actual dynamic changes in garbage and gas pollution within the area. When garbage accumulation or gas pollution levels change, the water volume is adjusted promptly through formula calculations to ensure dynamic adaptation to the pollution level.

[0130] The technical effect of the above technical solution is as follows: First, the garbage accumulation ratio and gas concentration exceedance coefficient are retrieved from the relevant data storage location. These two data sets form the basis for subsequent calculations and judgments, respectively reflecting the degree of garbage accumulation and gas pollution exceedance in the area. Using the garbage accumulation ratio and gas concentration exceedance coefficient, a specific calculation method is used to determine the pollution contribution coefficient of the garbage accumulation. This coefficient comprehensively reflects the contribution of garbage accumulation and gas pollution factors to the overall pollution situation. The calculated pollution contribution coefficient of the garbage accumulation is compared with a preset contribution coefficient threshold. This determines whether the current pollution level, due to the combined effects of garbage accumulation and gas pollution, meets the standard requiring special treatment. If the pollution contribution coefficient of the garbage accumulation does not exceed the preset threshold, indicating that the current pollution level is relatively mild, the initial spray water volume corresponding to the pollution level in the area is directly retrieved from the database as the required water volume for this spraying. This method uses a relatively conventional spray volume based on the established correspondence between pollution level and initial water volume. When the pollution contribution coefficient of the garbage accumulation exceeds the preset threshold, it means that the pollution level is relatively serious. At this time, the pollution contribution coefficient of the garbage accumulation, the gas concentration exceeding the standard coefficient and the level weight value corresponding to the pollution level of the area are comprehensively considered, and the amount of water required for spraying suitable for the current pollution situation is obtained through certain calculations to more effectively deal with more serious pollution.

[0131] Spraying water volumes are determined based on pollution severity, avoiding over- or under-spraying. When pollution is light (below the threshold), the initial spraying volume is used to minimize water waste. When pollution is severe (above the threshold), the spraying volume is precisely increased. This ensures pollution control effectiveness while avoiding water waste caused by indiscriminate, large-scale spraying, thereby improving water resource utilization efficiency. Spraying water volumes can be tailored to different pollution levels. By integrating multiple factors to determine a higher spraying volume in heavily polluted areas, this improves the efficiency and effectiveness of pollution control. Lightly polluted areas also receive an appropriate amount of water for basic cleaning, ensuring efficient overall pollution control. This solution flexibly adjusts spraying water volumes based on actual pollution conditions, such as garbage accumulation and gas pollution. Whether experiencing daily pollution fluctuations or sudden increases in pollution, the appropriate water volume can be determined through judgment and calculation, enabling the sprinkler system to adapt to varying pollution conditions and enhancing system stability and reliability.

[0132] Specifically, the control plan formulation unit is further configured to determine pollution anomalies during the spraying process in each area according to the formulated spraying plan, including:

[0133] During the spraying process in each area according to the established spraying plan, the gas concentration value corresponding to each unit time is monitored in real time;

[0134] Obtain the gas concentration change rate (percentage) corresponding to each area based on the gas concentration value per unit time;

[0135] Extract the gas concentration value at the initial state of spray start in each area;

[0136] The standard gas concentration corresponding to the spraying of each area is compared with the gas concentration value at the initial state of the spraying start-up to obtain a gas concentration reference ratio;

[0137] Obtaining a gas concentration reduction index using the gas concentration change rate corresponding to each area and a gas concentration reference ratio;

[0138] The gas concentration reduction index is obtained by the following formula:

[0139] ;

[0140] Wherein, J represents the gas concentration reduction index; ΔC represents the gas concentration change rate; R represents the gas concentration reference ratio; x represents the ratio sensitivity index, which is used to adjust the strictness of the standard requirements, and the ratio sensitivity index has a value range of 0.6-1.0; λ represents the attenuation correction coefficient, which has a value range of 0.3-0.7; Specifically, Divide ΔC by R x , measures the actual rate of change in gas concentration relative to the ideal change, reflecting how well the actual change compares to the ideal standard. This component reflects the difference between the actual gas concentration change and the ideal change, taking into account the stringency of the standard. It is a fundamental component of the Gas Concentration Reduction Index and measures the initial effectiveness of the gas concentration change during the spraying process compared to the ideal standard. This section modifies the gas concentration reduction index based on the difference between the current gas concentration and the ideal state. When the gas concentration is far from the ideal state, the exponential function amplifies the impact of this difference, making the gas concentration reduction index more reasonably reflect the actual situation and emphasizing the need to improve the pollution level. A specific functional relationship reflects the interaction between various factors, more comprehensively reflecting the overall effect of gas concentration reduction during the spraying process. The gas concentration reduction index J comprehensively reflects the actual effect of gas concentration reduction during the spraying process, taking into account the stringency of the standard and the difference between the current gas concentration and the ideal state. It is a quantitative indicator that is subsequently compared with preset thresholds to determine whether the area is severely polluted and provide a basis for determining pollution anomalies.

[0141] comparing the gas concentration reduction index with a preset index threshold;

[0142] Comparing the gas concentration reduction index with a preset index threshold to obtain a continuous duration of the excess; when the continuous duration of the excess exceeds the preset time threshold, it is determined that the area is still in a serious pollution state during the spraying process, and in this case, the area is determined to be abnormally polluted;

[0143] Area alarms and location identification prompts will be issued for areas determined to be abnormally polluted.

[0144] The technical effect of the above technical solution is as follows: by real-time monitoring of the gas concentration values corresponding to each unit time, the difference in gas concentration between adjacent time points is calculated, and then divided by the gas concentration value at the starting time and converted into a percentage to obtain the gas concentration change rate. This reflects the relative change in gas concentration per unit time, indicating the speed of change. It is used to measure the dynamic trend of gas concentration changes over time during the spraying process and help determine the rate of improvement in gas contamination caused by spraying. A positive change rate indicates an increase in gas concentration, while a negative change indicates a decrease. A larger absolute value indicates a more dramatic change. The standard gas concentration corresponding to each spraying area (which can be understood as the ideal or target gas concentration) is divided by the gas concentration value at the start of the spraying process to obtain the gas concentration reference ratio. This is a relative ratio. This ratio reflects the expected degree of change in gas concentration from the initial spraying state to the ideal state and serves as a reference for subsequent comparison with actual gas concentration changes. The gas concentration change rate and the gas concentration reference ratio are combined through a specific calculation to obtain the gas concentration reduction index. This index comprehensively reflects the degree of conformity between the actual gas concentration change and the ideal change, and measures the overall effectiveness of the gas concentration reduction during the spraying process. The higher the index, the closer the gas concentration reduction is to the ideal state.

[0145] This technical solution monitors gas concentration values per unit time in real time and calculates the rate of change. This dynamically captures subtle changes in gas concentration, comprehensively and accurately reflecting the actual evolution of gas pollution during the spraying process, avoiding overlooking concentration fluctuations and providing a precise data foundation for subsequent assessments. By combining the gas concentration change rate with a reference ratio to calculate a reduction index, the effectiveness of spraying on gas pollution control is assessed from multiple perspectives, comprehensively considering both actual trends and the desired degree of change. This approach provides a more accurate assessment of regional pollution status than single-metric assessments. By monitoring gas concentration in real time and calculating relevant parameters, any abnormalities in gas concentration are quickly reflected in indicators such as the gas concentration change rate and reduction index, triggering subsequent assessment processes and rapidly detecting abnormal pollution conditions. By setting a threshold for the duration of time the gas concentration reduction index exceeds a threshold, persistent severe pollution conditions can be identified, avoiding interference from brief fluctuations, allowing for the timely identification of abnormally polluted areas and providing early warnings. The use of multiple metrics, including the gas concentration change rate, reference ratio, and reduction index, rather than a single metric, reduces the risk of misjudgment and makes abnormal pollution assessments more reliable. The preset index threshold and time length threshold provide quantitative standards for judgment, making the judgment process more standardized and the results more stable, thereby enhancing the reliability of the entire pollution anomaly judgment mechanism.

[0146] The above formula comprehensively considers multiple factors, including the gas concentration change rate, gas concentration reference ratio, ratio sensitivity index, and attenuation correction factor, to comprehensively reflect the actual gas concentration changes during the spraying process, the ideal standard, and the relationship between the two. Compared to considering only a single or a few factors, it can more accurately assess the actual effect of gas concentration reduction, ensuring that the gas concentration reduction index better reflects the actual pollution reduction situation. The ratio sensitivity index x can adjust the stringency of the standard according to actual needs, while the attenuation correction factor λ can adjust the impact based on the difference between gas concentration and the ideal state. By fine-tuning these two parameters, it can adapt to the differences in gas pollution control standards and actual conditions in different regions and environments, further improving the accuracy of the gas concentration reduction index. Dynamically adapting to the actual changes in the pollution reduction level during spraying: The gas concentration change rate ΔC reflects the dynamic changes in gas concentration in real time, allowing the formula to promptly capture the changing trends of gas concentration during the spraying process. Whether the gas concentration drops rapidly or changes slowly, ΔC accurately reflects the gas concentration reduction index, adapting to the actual dynamic changes in gas pollution levels during the spraying process. By adjusting the strictness of the ideal standard using the ratio sensitivity index x and adjusting the attenuation correction coefficient λ based on the gap between the actual and ideal standards, the formula can take into account both the ideal pollution control standard and the current actual pollution situation. At different spraying stages and pollution levels, the gas concentration reduction index can be appropriately adjusted to closely match the actual level of pollution reduction achieved by spraying, providing a reliable basis for accurately determining pollution status.

[0147] In order to solve the problem in the existing technology that the entire spraying process is not effectively monitored and abnormal situations are not presented more intuitively, which leads to the inability to deal with abnormal situations in a timely manner, please refer to Figure 1 and Figure 2 , this embodiment provides the following technical solutions:

[0148] Sprinkler control decision unit, used for:

[0149] Generate control instructions according to the formulated spraying plan, including spraying equipment operation instructions, spraying

[0150] Parameter setting, timed start and stop instructions;

[0151] Transmit the generated control instructions to the sprinkler controller of the corresponding area;

[0152] The sprinkler controller in the corresponding area receives and interprets the control instructions, executes the sprinkler operation according to the instructions, and the sprinkler equipment is turned on, off, and adjusts parameters accordingly according to the control instructions;

[0153] The sprinkler controller uses built-in sensors to monitor various parameters of the sprinkler process in real time, including sprinkler water volume, sprinkler coverage, and equipment status;

[0154] The spray water volume is used to monitor the actual amount of water used during the spraying process in real time; the spray coverage is the area covered by the spraying confirmed by the image sensor; the equipment status is used to monitor the operating status of the spraying equipment;

[0155] Finally, the spray monitoring data of the garbage transfer station is obtained.

[0156] Specifically, the sprinkler control decision unit automatically generates control instructions based on preset sprinkler plans, eliminating the need for manual operation and significantly improving work efficiency. By monitoring various parameters during the sprinkler process in real time through built-in sensors, the system intelligently adjusts the sprinkler equipment's operating mode and water volume to ensure optimal sprinkler performance. It precisely controls the opening and closing of sprinkler equipment and parameter adjustments, ensuring that sprinkler operations are carried out as instructed, avoiding waste of resources and unnecessary energy consumption. Sprinkler coverage is confirmed using image sensors to ensure accurate spray zones, improving the targeted and effective nature of sprinkler operation. The sprinkler controller's built-in sensors monitor sprinkler water volume, coverage, and equipment status in real time, providing management with real-time data support. If an abnormality is detected or the sprinkler performance falls short of expectations, the system automatically generates an alarm and sends feedback, enabling management to take timely measures for adjustments and optimization. Through intelligent regulation and precise control, the system minimizes unnecessary energy consumption and achieves energy-saving goals. At the same time, the use of environmentally friendly spraying liquid and efficient spraying equipment further reduces pollution to the environment. The spraying control decision unit can be flexibly configured and adjusted according to different spraying needs and scenarios. It has strong adaptability and can be widely used in various places that require spraying control, such as garbage transfer stations, farmland irrigation, industrial spraying, etc.

[0157] Abnormal diagnosis and early warning unit, used for:

[0158] Retrieve historical spray data from the database and compare the historical spray data with the real-time monitored spray data;

[0159] Among them, machine learning algorithms were used to conduct comparative analysis of the data;

[0160] Generate abnormal alarms based on comparative analysis results;

[0161] Confirm the alarm content according to the generated abnormal alarm, which includes the abnormal type, abnormal location and abnormal parameters;

[0162] After the alarm content is confirmed, the alarm level is divided into minor abnormalities, moderate abnormalities and severe abnormalities; finally, alarm notification and response are carried out according to the alarm content and alarm level.

[0163] Specifically, it is possible to quickly retrieve historical sprinkler data from the database and compare it with the real-time monitored sprinkler data in real time, which greatly improves the efficiency of data processing. The use of machine learning algorithms to conduct comparative analysis of data further improves the accuracy and speed of data processing. Through comparative analysis of machine learning algorithms, the unit can accurately identify abnormal points or patterns in the data, thereby avoiding omissions or false alarms. After the abnormal alarm is generated, it also includes detailed information such as the abnormal type, abnormal location, and abnormal parameters, which helps to quickly locate and solve the problem. Based on the results of the comparative analysis, the unit can flexibly divide the alarm level, including minor abnormalities, moderate abnormalities, and severe abnormalities, etc. This helps managers to take corresponding countermeasures according to different levels of alarms. Once an abnormality is detected, the unit can immediately generate an alarm and notify to ensure that managers can respond quickly and take measures. The timeliness of alarm notification and response helps to reduce the impact of abnormal events on production or operations, reduce potential risks and losses, and through real-time monitoring and anomaly detection,

[0164] This unit can detect and handle potential faults or problems in a timely manner, thereby improving the stability and reliability of the entire system.

[0165] It should be noted that, in this document, relational terms such as first and second, etc., are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the terms "comprises," "comprising," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that includes a list of elements includes not only those elements but also other elements not explicitly listed, or elements inherent to such process, method, article, or apparatus.

[0166] While the embodiments of the present invention have been shown and described, it will be apparent to those skilled in the art that various changes, modifications, substitutions, and alterations can be made to the embodiments without departing from the principles and spirit of the invention.

Claims

1. Intelligent control and management system for spraying equipment at garbage transfer stations, characterized by: include: Sensor detection unit, environmental monitoring unit, monitoring data analysis unit, control plan formulation unit, spray control decision unit and abnormal diagnosis and early warning unit; The sensor detection unit performs performance testing on each monitoring sensor. After the performance testing, the environmental monitoring unit performs environmental monitoring on the garbage transfer station. The monitoring data analysis unit performs data analysis on the environmental monitoring data. The control plan formulation unit formulates a spraying plan for the garbage transfer station based on the data analysis results. The spray control decision unit monitors the implementation of the formulated plan. The abnormal diagnosis and early warning unit diagnoses the monitoring results and issues abnormal alarms. The control scheme formulation unit is used to: Determine the pollution level, recommended spraying intensity and priority ranking of the waste transfer station based on the analysis results; Then, formulate a spraying plan based on the recommended spraying intensity for each area. The spraying plan includes the spraying water volume, spraying frequency and spraying range; Among them, the amount of spraying water is determined by the degree of pollution to determine the amount of water required for each spraying; The amount of water required for each spraying is determined based on the degree of contamination, including: Extract the current amount of garbage accumulated in each area; The current garbage accumulation amount of each area is combined with the maximum allowable garbage accumulation amount of each area to obtain the garbage accumulation amount ratio corresponding to each area; Extract the current pollution level corresponding to each area; Compare the pollution level corresponding to each area with the pollution level table in the database to obtain the level weight value corresponding to the pollution level of each area; Extract the current gas concentration value of each area; Compare the current gas concentration value of each area with the preset gas concentration standard value to obtain the gas concentration exceeding standard coefficient; The amount of water required for spraying is set using the garbage accumulation ratio and the gas concentration exceeding standard coefficient; The amount of water required for spraying is set using the garbage accumulation ratio and the gas concentration exceeding standard coefficient, including: Retrieve the garbage accumulation ratio and gas concentration exceeding standard coefficient; Obtaining a pollution contribution coefficient of the garbage accumulation amount using the garbage accumulation amount ratio and the gas concentration exceeding standard coefficient; Comparing the pollution contribution coefficient of the garbage accumulation amount with a preset contribution coefficient threshold; When the pollution contribution coefficient of the garbage accumulation amount does not exceed the preset contribution coefficient threshold, the initial spraying water volume corresponding to the current pollution level of each area is retrieved from the database as the water volume required for spraying; When the pollution contribution coefficient of the garbage accumulation exceeds the preset contribution coefficient threshold, the pollution contribution coefficient of the garbage accumulation is combined with the gas concentration excess coefficient and the level weight value corresponding to the current pollution level of each area to obtain the amount of water required for spraying in each area.

2. The intelligent control and management system for spraying equipment in garbage transfer stations according to claim 1 is characterized in that: The control plan formulation unit is further configured to determine pollution anomalies during the spraying process in each area according to the formulated spraying plan, including: During the spraying process in each area according to the established spraying plan, the gas concentration value corresponding to each unit time is monitored in real time; Obtain the gas concentration change rate corresponding to each area based on the gas concentration value per unit time; Extract the gas concentration value at the initial state of spray start in each area; The standard gas concentration corresponding to the spraying of each area is compared with the gas concentration value at the initial state of the spraying to obtain a gas concentration reference ratio; Obtaining a gas concentration reduction index using a gas concentration change rate corresponding to each region and a gas concentration reference ratio; comparing the gas concentration reduction index with a preset index threshold; Comparing the gas concentration reduction index with a preset index threshold to obtain a continuous duration of the excess; when the continuous duration of the excess exceeds the preset time threshold, it is determined that the area is in a serious pollution state during the spraying process, and in this case, the area is determined to be abnormally polluted; Area alarms and location identification prompts will be issued for areas determined to be abnormally polluted.

3. The intelligent control and management system for spraying equipment in garbage transfer stations according to claim 2 is characterized in that: The sensor detection unit is used to: Record and perform performance testing on sensors in waste transfer stations; Sensors include environmental sensors, sprinkler sensors, garbage dump sensors and early warning sensors; Environmental sensors include gas sensors, dust sensors, temperature and humidity sensors, and noise sensors; sprinkler sensors include liquid level sensors, flow sensors, pressure sensors, and valve status sensors; garbage stacking sensors include ultrasonic sensors and image sensors; early warning sensors include smoke sensors, water immersion sensors, and vibration sensors; Perform performance testing on the sensors. Performance testing involves testing the functions, parameters, and accuracy of each sensor. After all performance tests are passed, environmental monitoring will be carried out on the garbage transfer station.

4. The intelligent control and management system for spraying equipment in garbage transfer stations according to claim 3 is characterized in that: The environmental monitoring unit is used to: The waste transfer station is divided into unloading area, compression area, storage area, sewage area and equipment area. Environmental sensors are deployed according to the grid density, with no less than three environmental sensors per 100 square meters. The sensor monitors each area of the garbage transfer station and obtains monitoring data after the monitoring is completed; Preprocess the monitoring data, which includes data cleaning, data conversion, data integration, data enhancement and data verification; After data preprocessing is completed, environmental monitoring data is obtained.

5. The intelligent control and management system for spraying equipment in garbage transfer stations according to claim 4 is characterized in that: The monitoring data analysis unit is used to: Perform data fusion and judgment on the environmental monitoring data of each area in the garbage transfer station at the same time point; After fusion judgment, the fused data is obtained, which includes: gas concentration and garbage accumulation data to determine whether to strengthen the spray deodorization standard; noise and vibration sensors to determine whether the compression equipment is operating abnormally; dust concentration and air humidity data to determine whether to perform spray dust reduction operations; garbage accumulation and water immersion sensors to determine whether there is a leakage risk; temperature, smoke sensors and image recognition to determine whether there is a spontaneous combustion risk; liquid level sensors, flow sensors and spray effect data to determine whether the spraying is abnormal; gas concentration and garbage type image recognition to determine whether the garbage is unsorted; noise, image and operation time to determine whether there is illegal operation behavior; Generate a structured analysis report based on the fused data, which includes the pollution level, recommended spray intensity and priority ranking for each area; Finally, the analysis data of the garbage transfer station is obtained.

6. The intelligent control and management system for spraying equipment in garbage transfer stations according to claim 5 is characterized in that: The control plan formulation unit is further used to: The higher the pollution level, the higher the priority; Among them, the spraying frequency is to determine the time interval for starting the spraying; the spraying range is to determine the specific areas and locations that need to be sprayed based on the monitoring data to ensure that all high-pollution areas are covered.

7. The intelligent control and management system for spraying equipment in a garbage transfer station according to claim 6 is characterized in that: The control scheme formulation unit is further used to: Allocate and dispatch resources according to the established spraying plan, including water source management, spraying equipment deployment and energy management; Among them, water source management is to confirm that the water source in the sprinkler system meets the standard water source conditions; sprinkler equipment allocation is to dispatch specific sprinkler equipment to open or close according to the spray range and intensity; energy management is to regularly optimize energy usage; Obtain a complete spraying plan for the garbage transfer station based on resource allocation and scheduling.

8. The intelligent control and management system for spraying equipment in garbage transfer stations according to claim 7 is characterized in that: The spray control decision unit is used to: Generate control instructions based on the formulated spraying plan, including spraying equipment operation instructions, spraying parameter settings, and timed start and stop instructions; Transmit the generated control instructions to the sprinkler controller of the corresponding area; The sprinkler controller in the corresponding area receives and interprets the control instructions, executes the sprinkler operation according to the instructions, and the sprinkler equipment is turned on, off, and adjusts parameters accordingly according to the control instructions; The sprinkler controller uses built-in sensors to monitor various parameters of the sprinkler process in real time, including sprinkler water volume, sprinkler coverage, and equipment status; The spray water volume is used to monitor the actual amount of water used during the spraying process in real time; the spray coverage is the area covered by the spraying confirmed by the image sensor; the equipment status is used to monitor the operating status of the spraying equipment; Finally, the spray monitoring data of the garbage transfer station is obtained.

9. The intelligent control and management system for spraying equipment in a garbage transfer station according to claim 8 is characterized in that: The abnormality diagnosis and early warning unit is used to: Retrieve historical spray data from the database and compare the historical spray data with the real-time monitored spray data; Among them, machine learning algorithms were used to conduct comparative analysis of the data; Generate abnormal alarms based on comparative analysis results; Confirm the alarm content according to the generated abnormal alarm, which includes the abnormal type, abnormal location and abnormal parameters; After the alarm content is confirmed, the alarm level is divided into minor abnormality, moderate abnormality and severe abnormality; Finally, alarm notification and response are carried out according to the alarm content and alarm level.

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