Real-time monitoring and management methods and systems for leachate from garbage compactors

Abstract

This invention discloses a method and system for real-time monitoring and management of leachate from waste compactors, relating to the field of waste treatment technology. The method includes deploying online sensing units on the waste compactor, performing real-time monitoring of the waste compactor based on these units to obtain online sensing data, creating a regulatory digital twin model, and displaying the online sensing data in real-time on the regulatory digital twin model. Based on the online sensing data, the method determines whether the leachate from the waste compactor exceeds limits or leaks / overflows. If so, a real-time alarm mechanism is triggered, outputting an online monitoring alarm signal and recording the alarm information. Simultaneously, the online monitoring alarm signal and alarm information are sent to a background monitoring system and the mobile terminals of relevant personnel, and a drainage operation is performed, recording the real-time leachate drainage information. This invention improves the efficiency of real-time monitoring and management of leachate from waste compactors.

Description

Technical Field

[0001] This invention relates to the field of waste treatment technology, and in particular to a method and system for real-time monitoring and management of leachate from waste compressors. Background Technology

[0002] Currently, garbage compactors are one of the main pieces of equipment for compressing and reducing the volume of garbage, and are also the main processing equipment in garbage transfer stations. Garbage compactors are the main equipment in garbage transfer stations; they are machines controlled by a hydraulic system to compress collected garbage to reduce its volume. Garbage compactor leachate is a high-concentration, highly polluting organic wastewater that is forcibly separated from garbage (especially kitchen waste and other high-moisture waste) during the garbage collection and transfer process, when the garbage is compressed under high pressure in the compactor compartment. Garbage compactor leachate is characterized by high pollution, strong toxicity, insidious nature, and chain transmission, posing a comprehensive threat to the environment, ecology, human health, and infrastructure. Therefore, monitoring and managing garbage compactor leachate is crucial.

[0003] Existing real-time monitoring and management methods for leachate from garbage compactors involve real-time monitoring of the leachate level and water quality generated during the compaction process. Based on the water level, it determines whether to activate the pump valves to pump out the leachate, and based on the water quality, it determines whether to activate the treatment facilities to treat the leachate. However, existing real-time monitoring and management methods for leachate from garbage compactors do not consider the risk of leachate overflow when the leachate collection tank rises too rapidly during sudden heavy rains, which could adversely affect the environment and personal safety. This results in low efficiency in the real-time monitoring and management of leachate from garbage compactors and requires improvement. Summary of the Invention

[0004] To improve the efficiency of real-time monitoring and management of leachate from waste compactors, this invention provides a method and system for real-time monitoring and management of leachate from waste compactors.

[0005] The real-time monitoring and management method for leachate from waste compactors provided by this invention adopts the following technical solution: The first aspect is a method for real-time monitoring and management of leachate from waste compactors, which includes the following steps: Step S1: Deploy online sensing units in the garbage compressor, monitor the garbage compressor in real time based on the online sensing units to obtain online sensing data information, create a regulatory digital twin model, and display the online sensing data information in real time on the regulatory digital twin model; Step S2: Based on online sensor data, determine whether the leachate from the garbage compressor exceeds the limit or leaks / overflows. If so, trigger a real-time alarm mechanism, output an online monitoring alarm signal and record the monitoring alarm information. Simultaneously, send the online monitoring alarm signal and monitoring alarm information to the background monitoring system and the mobile terminal of the relevant person in charge, perform a drainage operation, and record the real-time leachate drainage information. Step S3: Based on the real-time weather conditions, historical leachate conditions, structure of the waste compressor and surrounding environment in the area where the waste compressor is located, comprehensively analyze and predict whether to perform a drainage operation when a sudden rainstorm occurs, determine the leachate drainage frequency information, and if the drainage operation is initiated, perform the drainage operation based on the leachate drainage frequency information and record the sudden leachate drainage information. Step S4: The treatment point markers around the garbage compressor are summarized into a candidate set of starting treatment points. Based on the water pollution alarm signal and real-time leachate drainage information and / or sudden leachate drainage information, the candidate set of starting treatment points is screened multiple times to obtain a second set of screening treatment points. The optimal transfer treatment point is selected from the second set of screening treatment points. The leachate from the garbage compressor is transferred and treated based on the optimal transfer treatment point, and the transfer parameter information is recorded. Step S5: Display and mark the real-time leachate drainage information, sudden leachate drainage information, and transfer parameter information on the regulatory digital twin model in real time, and upload the regulatory digital twin model to the blockchain system and send it to the background monitoring system in real time.

[0006] Preferably, the online sensing unit includes a level gauge, a UV-254 COD sensor, an industrial composite pH electrode, and a camera matrix; Real-time liquid level data is obtained by monitoring the liquid level of leachate from the waste compressor using a liquid level gauge. The chemical oxygen demand (COD) of leachate from a landfill compressor is detected in real time using a UV-254 COD sensor to obtain real-time COD data. Real-time pH data was obtained by measuring the acidity and alkalinity of leachate from waste compressors using an industrial composite pH electrode.

[0007] Preferably, the camera matrix includes a panoramic camera matrix and a partial camera matrix; A panoramic camera matrix is ​​deployed outside the garbage compressor, and panoramic feature image information is obtained by taking multi-angle panoramic photos of the garbage compressor based on the panoramic camera matrix. Obtain basic information about the garbage compressor, including its structural information and the amount of garbage inside. Create a regulatory digital twin model based on the basic information of the garbage compressor and panoramic feature-captured image information. Historical leakage and overflow points of the garbage compressor are obtained. A local camera matrix is ​​deployed based on the historical leakage and overflow points of the garbage compressor. The local camera matrix performs multi-angle real-time monitoring of the leakage and overflow prediction points to obtain leakage and overflow image information. The panoramic feature image information and the leakage and overflow image information are combined to form real-time image information. The real-time liquid level data, the real-time chemical oxygen demand data, the real-time pH data, and the real-time captured image information are combined to form online sensing data information, which is then displayed and marked in real time on the regulatory digital twin model.

[0008] Preferably, the real-time liquid level data is compared with a preset liquid level threshold. If the real-time liquid level data is greater than or equal to the preset liquid level threshold, it is determined that the leachate level of the garbage compressor exceeds the limit, and a liquid level alarm signal is output. If the real-time liquid level data is less than the preset liquid level threshold, the real-time liquid level growth rate is calculated based on the real-time liquid level data. Based on the real-time liquid level growth rate, the time required for the liquid level in the leachate collection tank of the garbage compressor to reach the liquid level threshold is determined, and the time required for the liquid level to exceed the limit is obtained. If the time required for the liquid level to exceed the limit is less than the preset safe time for the liquid level to exceed the limit, it is determined that there is a risk of the liquid level exceeding the limit in the leachate of the garbage compressor, and a liquid level warning signal is output. The real-time chemical oxygen demand (COD) data is compared with a preset COD threshold. If the real-time COD data is greater than or equal to the preset COD threshold, it is determined that the leachate from the garbage compressor is severely polluted by organic matter, and a water quality organic matter pollution alarm signal is output. The real-time pH data is compared with the preset pH standard range. If the real-time pH data exceeds the pH standard range, it is determined that the leachate from the garbage compressor is seriously polluted by acidic and alkaline substances, and a water quality acid and alkaline substance pollution alarm signal is output. The water quality organic matter pollution alarm signal and the water quality acid and alkali matter pollution alarm signal are combined to form the water quality pollution alarm signal; Based on the leak and overflow image information, determine whether there is a leak or overflow of leachate from the garbage compressor. If there is a leak or overflow, output a leak and overflow alarm signal. Upon receiving the liquid level alarm signal, the water quality pollution alarm signal, or the leakage / overflow alarm signal, an online monitoring alarm signal is output and the monitoring alarm information is recorded. The alarm information includes the alarm coordinates and the alarm timestamp. The monitoring alarm information is then categorized, displayed, and marked on the regulatory digital twin model. The online monitoring alarm signals and monitoring alarm information are simultaneously sent to the background monitoring system and the mobile terminals of relevant personnel; Upon receiving the online monitoring alarm signal, the pumping equipment in the leachate collection tank of the waste compressor is activated to perform a pumping operation until the liquid level in the leachate collection tank of the waste compressor is below the preset safe liquid level threshold, and the real-time leachate pumping information is recorded.

[0009] Preferably, historical leachate information of the waste compressor is obtained, including historical leachate generation information and historical leachate water quality information; The system acquires real-time meteorological information for the area where the garbage compressor is located. When a rainstorm warning is issued in the real-time meteorological information for the area where the garbage compressor is located, the system acquires the rainstorm meteorological information and outputs a rainstorm meteorological warning signal. The rainstorm meteorological information includes the predicted rainfall amount and the predicted rainfall time. Based on the structural information of the garbage compressor and the panoramic feature image information, the degree of exposure of the leachate collection tank in the garbage compressor structure is determined to obtain the exposure degree of the collection tank. The exposure degree of the collection tank is compared with the preset exposure threshold of the collection tank. If the exposure degree of the collection tank is greater than the preset exposure threshold of the collection tank, it is determined that the structural design of the garbage compressor leachate is easily affected by the rainstorm, and rainstorm structure warning information is output. Upon receiving both a rainstorm weather warning and a rainstorm structure warning, an early warning signal for the collection pool pumping out is output. Combining the dynamic weighted fusion algorithm, based on the real-time liquid level growth rate, historical leachate generation information and predicted rainfall, the impact of real-time liquid level changes, historical leachate generation and rainstorm weather conditions on the pumping frequency of the leachate collection tank of the garbage compressor is comprehensively judged, and leachate pumping frequency information is obtained. Upon receiving the early warning signal for drainage from the collection pool, the system determines the equipment start-up time based on the predicted rainfall time. Based on the equipment start-up time, the system starts the preset drainage equipment in the leachate collection pool of the garbage compressor and performs drainage operations based on the leachate drainage frequency information until the liquid level in the leachate collection pool of the garbage compressor is below the preset safe liquid level threshold. The system also records the information on sudden leachate drainage.

[0010] Preferably, if no water pollution alarm signal is received, the treatment points around the garbage compressor are marked and summarized into a candidate set of starting treatment points; When the water quality organic matter pollution alarm signal and / or the water quality acid and alkali matter pollution alarm signal are received in the water quality pollution alarm signal, the candidate set of the starting treatment point is preliminarily screened to obtain the first screening candidate set of treatment points; The real-time leachate drainage information includes the real-time leachate drainage volume, the real-time leachate drainage point coordinates, and the real-time leachate drainage timestamp. The sudden leachate drainage information includes the sudden leachate drainage volume, the sudden leachate drainage point coordinates, and the sudden leachate drainage timestamp. Based on the real-time leachate discharge volume and / or the sudden leachate discharge volume, select treatment points in the first screening treatment point candidate set whose capacity is higher than the real-time leachate discharge volume and / or the sudden leachate discharge volume, and mark them as the second screening treatment point candidate set. Based on the coordinates of the real-time leachate drainage point and / or the coordinates of the sudden leachate drainage point, the distance between the coordinates of the real-time leachate drainage point and / or the coordinates of the sudden leachate drainage point and each treatment point in the second screening treatment point candidate set is calculated to obtain the transfer treatment distance of each treatment point in the second screening treatment point candidate set. The processing point with the shortest transfer processing distance among the second screening processing point candidates is selected and marked as the optimal transfer processing point; Based on the real-time leachate drainage point coordinates and / or the sudden leachate drainage point coordinates, as well as the optimal transfer and treatment point, the drained leachate is transferred and processed, and the transfer parameter information is recorded.

[0011] Preferably, real-time leachate drainage information, sudden leachate drainage information, and transfer parameter information are simultaneously displayed and marked on the regulatory digital twin model in real time; The regulatory digital twin model is sent to the back-end monitoring system based on the wireless communication module; The regulatory digital twin model is simultaneously uploaded to the blockchain system and updated in real time.

[0012] Secondly, this invention provides a real-time monitoring and management system for leachate from waste compactors, employing the following technical solution: The real-time monitoring and management system for leachate from waste compactors includes: The data acquisition module is configured to deploy online sensing units in the garbage compressor, monitor the garbage compressor in real time based on the online sensing units to obtain online sensing data information, create a regulatory digital twin model, and display the online sensing data information in real time on the regulatory digital twin model; The situational awareness module is configured to determine whether the leachate from the garbage compressor exceeds the limit or leaks / overflows based on online sensor data. If so, it triggers a real-time alarm mechanism, outputs an online monitoring alarm signal, records the monitoring alarm information, and simultaneously sends the online monitoring alarm signal and monitoring alarm information to the background monitoring system and the mobile terminal of the relevant personnel, performs a drainage operation, and records the real-time leachate drainage information. The emergency prediction module is configured to comprehensively analyze and predict whether to perform a drainage operation when a sudden rainstorm occurs, based on the real-time weather conditions, historical leachate conditions, structure of the waste compressor and surrounding environment in the area where the waste compressor is located. It determines the frequency information of leachate drainage and, if the drainage operation is initiated, performs the drainage operation based on the leachate drainage frequency information and records the sudden leachate drainage information. The transfer analysis module is configured to aggregate the treatment points around the garbage compressor into a candidate set of starting treatment points. Based on the water pollution alarm signal and real-time leachate drainage information and / or sudden leachate drainage information, the candidate set of starting treatment points is screened multiple times to obtain a second set of screening treatment points. The optimal transfer treatment point is selected from the second set of screening treatment points. The leachate from the garbage compressor is transferred and processed based on the optimal transfer treatment point, and the transfer parameter information is recorded. The recording and uploading module is configured to display and mark real-time leachate drainage information, sudden leachate drainage information, and transfer parameter information on the regulatory digital twin model in real time, and upload the regulatory digital twin model to the blockchain system and send it to the background monitoring system in real time.

[0013] In summary, the present invention has at least one of the following beneficial technical effects: 1. By deploying online sensing units and monitoring online sensing data in real time, the system determines whether the leachate from the waste compactor exceeds the limit or leaks / overflows. If so, a real-time alarm mechanism is triggered, outputting an online monitoring alarm signal, executing a pumping operation, and recording real-time leachate pumping information. Based on the real-time weather conditions, historical leachate data, the structure of the waste compactor, and the surrounding environment in the area, the system comprehensively analyzes and predicts whether to execute a pumping operation during sudden rainstorms, determines the frequency of leachate pumping, executes the pumping operation, and records the sudden leachate pumping information. Through real-time monitoring and alarms, the system simultaneously predicts and assesses the impact of sudden rainstorms on leachate overflow and plans contingency plans, reducing the risk of leachate overflow due to rapid increase in the leachate collection tank level during sudden rainstorms and improving the efficiency of real-time monitoring and management of leachate from the waste compactor. 2. By aggregating the marked treatment points around the garbage compressor into a candidate set of initial treatment points, and based on water pollution alarm signals and real-time leachate drainage information and / or sudden leachate drainage information, the candidate set of initial treatment points is screened multiple times to obtain a second set of candidate treatment points. The optimal transfer treatment point is selected from the second set of candidate treatment points. After the leachate from the garbage compressor is transferred to the optimal transfer treatment point, it is treated, and the transfer parameter information is recorded. This mechanism effectively improves the emergency treatment efficiency of leachate and reduces the risk of environmental pollution. Through multi-source signal linkage analysis and dynamic path optimization, it ensures that the optimal treatment resources can be accurately located and leachate treatment operations can be performed even under complex operating conditions, further improving the real-time monitoring and management efficiency of garbage compressor leachate. 3. By storing the entire process of monitoring and managing leachate from waste compressors on the blockchain, and leveraging the immutability and traceability of blockchain, an absolutely reliable data foundation is provided for environmental supervision, pollution rights trading, and ecological compensation. This eliminates data fraud, establishes pollution discharge credit, and further improves the efficiency of real-time monitoring and management of leachate from waste compressors. Attached Figure Description

[0014] Figure 1 This embodiment is a flowchart illustrating the method for real-time monitoring and management of leachate from a waste compressor. Figure 2 This embodiment mainly illustrates the module diagram of the real-time monitoring and management system for leachate from a waste compressor.

[0015] Attached labels: 1. Data acquisition module; 2. Situation awareness module; 3. Emergency prediction module; 4. Transfer analysis module; 5. Record upload module. Detailed Implementation

[0016] The present invention will be further described in detail below with reference to the accompanying drawings.

[0017] This invention discloses a method for real-time monitoring and management of leachate from waste compressors.

[0018] A method for real-time monitoring and management of leachate from waste compactors, comprising the following steps: Reference Figure 1 Step S1 involves deploying online sensing units on the garbage compactor, obtaining online sensing data information through real-time monitoring of the garbage compactor using these units, creating a regulatory digital twin model, and displaying the online sensing data information in real-time on the regulatory digital twin model. Step S1 specifically includes the following sub-steps: Step A1: The online sensing unit includes a level gauge, a UV-254 COD sensor, an industrial composite pH electrode, and a camera matrix.

[0019] Step A2: Real-time liquid level of leachate from the waste compressor is detected using a level gauge to obtain real-time liquid level data.

[0020] Step A3 involves real-time monitoring of the chemical oxygen demand (COD) of the leachate from the landfill compressor using a UV-254 COD sensor to obtain real-time COD data. In practical applications, COD directly reflects the degree of organic pollution in the leachate and is one of the most critical pollution indicators.

[0021] Step A4 involves real-time measurement of the pH of the leachate from the waste compressor using an industrial composite pH electrode to obtain real-time pH data. In practical applications, pH value affects the biochemical treatment process, metal corrosion rate, and the form in which ammonia nitrogen exists.

[0022] It should be noted that in the embodiments of this application, the level gauge, UV-254 COD sensor, sensor probe of industrial composite pH electrode, inner wall of collection tank and inner wall of pipe are coated with biomimetic hydrophobic coating or self-healing anti-corrosion material, which greatly alleviates the monitoring failure and equipment wear caused by scaling and corrosion, and reduces the frequency of equipment maintenance.

[0023] Step S1 further includes the following sub-steps: Step B1: The camera matrix includes a panoramic camera matrix and a partial camera matrix.

[0024] Step B2: Deploy a panoramic camera matrix outside the garbage compressor, and use the panoramic camera matrix to take multi-angle panoramic photos of the garbage compressor to obtain panoramic feature image information.

[0025] Step B3: Obtain basic information about the garbage compactor, including its structural information and the amount of garbage inside. Based on this basic information and panoramic feature images, create a regulatory digital twin model.

[0026] Step B4: Obtain historical leakage and overflow points of the garbage compressor. Based on the historical leakage and overflow points of the garbage compressor, deploy a local imaging camera matrix. The local imaging camera matrix performs multi-angle real-time monitoring of the leakage and overflow prediction points to obtain leakage and overflow imaging image information. The panoramic feature imaging image information and the leakage and overflow imaging image information are combined to form real-time imaging image information.

[0027] Step B5 involves combining real-time liquid level data, real-time chemical oxygen demand data, real-time pH data, and real-time captured image information to form online sensor data information, which is then displayed and marked in real-time on the regulatory digital twin model.

[0028] Reference Figure 1Step S2 involves determining, based on online sensor data, whether the leachate from the garbage compressor exceeds limits or leaks / overflows. If so, a real-time alarm mechanism is triggered, outputting an online monitoring alarm signal and recording the alarm information. Simultaneously, the online monitoring alarm signal and alarm information are sent to the backend monitoring system and the mobile terminals of relevant personnel, and a drainage operation is performed, recording the real-time leachate drainage information. Step S2 specifically includes the following sub-steps: Step S21: Compare the real-time liquid level data with the preset liquid level threshold. If the real-time liquid level data is greater than or equal to the preset liquid level threshold, it is determined that the leachate level of the garbage compressor exceeds the limit, and a liquid level alarm signal is output.

[0029] Step S22: If the real-time liquid level data is less than the preset liquid level threshold, calculate the real-time liquid level growth rate based on the real-time liquid level data, and determine the time required for the liquid level in the leachate collection tank of the garbage compressor to reach the liquid level threshold based on the real-time liquid level growth rate to obtain the time required for the liquid level to exceed the limit. If the time required for the liquid level to exceed the limit is less than the preset safe time for the liquid level to exceed the limit, it is determined that there is a risk of the liquid level exceeding the limit in the leachate of the garbage compressor, and a liquid level warning signal is output.

[0030] Step S23: Compare the real-time chemical oxygen demand (COD) data with the preset COD threshold. If the real-time COD data is greater than or equal to the preset COD threshold, it is determined that the leachate from the garbage compressor is severely polluted by organic matter, and an alarm signal for organic matter pollution in water quality is output.

[0031] Step S24: Compare the real-time pH data with the preset pH standard range. If the real-time pH data exceeds the pH standard range, it is determined that the leachate from the garbage compressor is seriously polluted by acidic and alkaline substances, and an alarm signal for acidic and alkaline pollution of water quality is output.

[0032] Step S25: The water quality organic matter pollution alarm signal and the water quality acid and alkali pollution alarm signal are combined to form a water quality pollution alarm signal.

[0033] Step S26: Based on the leakage and overflow image information, determine whether there is a leakage or overflow of leachate from the garbage compressor. If there is a leakage or overflow, output a leakage and overflow alarm signal.

[0034] Step S27: Upon receiving a liquid level alarm signal, a water pollution alarm signal, or a leakage / overflow alarm signal, output an online monitoring alarm signal and record the monitoring alarm information, including alarm coordinates and alarm timestamps. Classify and display the monitoring alarm information on the regulatory digital twin model.

[0035] Step S28: Simultaneously send the online monitoring alarm signal and monitoring alarm information to the background monitoring system and the mobile terminal of the relevant person in charge.

[0036] Step S29: Upon receiving an online monitoring alarm signal, start the pumping equipment in the leachate collection tank of the garbage compressor to perform the pumping operation until the liquid level in the leachate collection tank of the garbage compressor is below the preset safe liquid level threshold, and record the real-time leachate pumping information.

[0037] Reference Figure 1 Step S3 involves comprehensively analyzing and predicting whether to execute a leachate drainage operation during a sudden rainstorm, based on real-time weather conditions, historical leachate data, the structure of the waste compressor, and its surrounding environment in the area where the waste compressor is located. This determines the leachate drainage frequency information. If drainage is initiated, it is performed based on this frequency information, and the sudden leachate drainage information is recorded. Step S3 specifically includes the following sub-steps: Step S31: Obtain historical leachate information from the garbage compressor. The historical leachate information from the garbage compressor includes historical leachate generation information and historical leachate water quality information.

[0038] Step S32: Obtain real-time meteorological information of the area where the garbage compressor is located. When a rainstorm warning appears in the real-time meteorological information of the area where the garbage compressor is located, obtain the rainstorm meteorological information and output the rainstorm meteorological warning signal. The rainstorm meteorological information includes the predicted rainfall amount and the predicted rainfall time.

[0039] Step S33: Based on the structural information of the garbage compressor and the panoramic feature image information, determine the degree of exposure of the leachate collection tank in the garbage compressor structure to obtain the exposure degree of the collection tank. Compare the exposure degree of the collection tank with the preset exposure threshold of the collection tank. If the exposure degree of the collection tank is greater than the preset exposure threshold of the collection tank, it is determined that the structural design of the garbage compressor leachate is easily affected by the rainstorm, and output rainstorm structure warning information.

[0040] Step S34: After receiving the rainstorm weather warning information and the rainstorm structure warning information, output the collection pool drainage warning signal.

[0041] Step S35: Combining a dynamic weighted fusion algorithm, based on the real-time liquid level increase rate, historical leachate production information, and predicted rainfall, the impact of real-time liquid level changes, historical leachate production, and heavy rainfall conditions on the drainage frequency of the waste compactor leachate collection tank is comprehensively assessed to obtain leachate drainage frequency information. Specifically, a faster real-time liquid level increase rate, a larger historical leachate production volume, and a larger predicted rainfall volume all correlate with a higher leachate drainage frequency. This ensures timely drainage of leachate from the waste compactor leachate collection tank, reducing the risk of leachate overflow polluting the environment or causing harm to personal safety.

[0042] Step S36: Upon receiving the early warning signal for leachate drainage from the collection tank, the system determines the equipment start-up time based on the predicted rainfall time. Based on this start-up time, the system activates the pre-set drainage equipment in the leachate collection tank of the waste compressor. Drainage is performed based on the leachate drainage frequency information until the liquid level in the leachate collection tank is below a preset safe liquid level threshold. The system then records the sudden leachate drainage information, including the sudden leachate drainage volume, the coordinates of the sudden leachate drainage point, and the sudden leachate drainage timestamp.

[0043] Reference Figure 1 Step S4 involves summarizing the marked treatment points around the garbage compressor into a candidate set of initial treatment points. Based on water pollution alarm signals and real-time leachate drainage information and / or sudden leachate drainage information, the candidate set of initial treatment points is screened multiple times to obtain a second set of candidate treatment points. The optimal transfer treatment point is selected from the second set of candidate treatment points. The leachate from the garbage compressor is then transferred and treated based on the optimal transfer treatment point, and the transfer parameter information is recorded. Step S4 specifically includes the following sub-steps: Step S41: If no water pollution alarm signal is received, the treatment points around the garbage compressor are marked and summarized into a candidate set of starting treatment points.

[0044] Step S42: When the water quality pollution alarm signal for organic matter pollution and / or the water quality pollution alarm signal for acid and alkali matter pollution are received, the candidate set of the starting treatment point is preliminarily screened to obtain the first candidate set of treatment points.

[0045] Specifically, when an alarm signal for organic pollution in water is received but no alarm signal for acid or alkali pollution in water is received, the treatment points with organic pollution treatment equipment in the candidate set of the starting treatment point are screened and retained to obtain the first set of candidate treatment points.

[0046] When a water quality acid and alkali pollution alarm signal is received but no water quality organic pollution alarm signal is received, the first set of candidate treatment points with acid and alkali pollution treatment equipment in the initial treatment point candidate set is selected and retained.

[0047] When an alarm signal for organic pollution and an alarm signal for acid and alkali pollution in water are received, the first set of candidate treatment points is selected and retained from the candidate set of initial treatment points that have organic pollution treatment equipment and acid and alkali pollution treatment equipment.

[0048] Step S43: Real-time leachate drainage information includes real-time leachate drainage volume, real-time leachate drainage point coordinates, and real-time leachate drainage timestamp; sudden leachate drainage information includes sudden leachate drainage volume, sudden leachate drainage point coordinates, and sudden leachate drainage timestamp.

[0049] Step S44: Based on the real-time leachate discharge volume and / or the sudden leachate discharge volume, select the treatment points in the first screening treatment point candidate set whose capacity is higher than the real-time leachate discharge volume and / or the sudden leachate discharge volume, and mark them as the second screening treatment point candidate set.

[0050] Step S45: Based on the coordinates of the real-time leachate drainage point and / or the coordinates of the sudden leachate drainage point, calculate the distance between the real-time leachate drainage point coordinates and / or the coordinates of the sudden leachate drainage point and each treatment point in the second screening treatment point candidate set to obtain the transfer treatment distance of each treatment point in the second screening treatment point candidate set.

[0051] Step S46: Select the processing point with the shortest transfer processing distance from the second screening processing point candidate set and mark it as the optimal transfer processing point.

[0052] Step S47: Based on the real-time leachate drainage point coordinates and / or the sudden leachate drainage point coordinates and the optimal transfer treatment point, perform post-processing on the drained leachate and record the transfer parameter information. The transfer parameter information includes transfer path information, transfer time information, and real-time transfer location information.

[0053] In practical applications, this mechanism effectively improves the efficiency of emergency leachate treatment and reduces the risk of environmental pollution. Through multi-source signal linkage analysis and dynamic path optimization, it ensures that the optimal treatment resources can be accurately located and leachate treatment operations can be performed even under complex working conditions.

[0054] Reference Figure 1 Step S5 involves displaying and marking real-time leachate drainage information, sudden leachate drainage information, and transfer parameter information on the regulatory digital twin model in real time, and then uploading the regulatory digital twin model to the blockchain system and sending it to the backend monitoring system in real time. Step S5 specifically includes the following sub-steps: Step S51: Real-time leachate drainage information, sudden leachate drainage information, and transfer parameter information are synchronously displayed and marked on the regulatory digital twin model in real time.

[0055] Step S52: The regulatory digital twin model is sent to the background monitoring system based on the wireless communication module.

[0056] Step S53: Simultaneously upload the regulatory digital twin model to the blockchain system in real time and update it in real time. In practical applications, the entire process of monitoring and managing leachate from waste compressors is recorded on the blockchain. By leveraging the immutability and traceability of blockchain, an absolutely reliable data foundation is provided for environmental supervision, pollution rights trading, and ecological compensation, eliminating data fraud and establishing pollution discharge credit.

[0057] This invention also discloses a real-time monitoring and management system for leachate from a waste compressor.

[0058] Reference Figure 2 The real-time monitoring and management system for leachate from waste compressors includes: Data acquisition module 1 is configured to deploy online sensing units on the garbage compressor, obtain online sensing data information by real-time monitoring of the garbage compressor based on the online sensing units, create a regulatory digital twin model, and display the online sensing data information on the regulatory digital twin model in real time.

[0059] Situational awareness module 2 is configured to determine whether there is an over-limit situation or leakage / overflow of leachate from the garbage compressor based on online sensor data. If so, it triggers a real-time alarm mechanism, outputs an online monitoring alarm signal and records the monitoring alarm information. Simultaneously, it sends the online monitoring alarm signal and monitoring alarm information to the background monitoring system and the mobile terminals of relevant personnel, performs drainage operations, and records real-time leachate drainage information.

[0060] The emergency prediction module 3 is configured to comprehensively analyze and predict whether to perform a drainage operation when a sudden rainstorm occurs, based on the real-time weather conditions, historical leachate conditions, structure of the waste compressor and surrounding environment in the area where the waste compressor is located. It determines the frequency information of leachate drainage and, if the drainage operation is initiated, performs the drainage operation based on the leachate drainage frequency information and records the sudden leachate drainage information.

[0061] The transfer analysis module 4 is configured to summarize the treatment point markers around the garbage compressor into a candidate set of starting treatment points. Based on the water pollution alarm signal and real-time leachate drainage information and / or sudden leachate drainage information, the candidate set of starting treatment points is screened multiple times to obtain a second set of screening treatment point candidates. The optimal transfer treatment point is selected from the second set of screening treatment point candidates. The leachate from the garbage compressor is transferred and treated based on the optimal transfer treatment point, and the transfer parameter information is recorded.

[0062] The record upload module 5 is configured to display and mark real-time leachate drainage information, sudden leachate drainage information, and transfer parameter information on the regulatory digital twin model in real time, and upload the regulatory digital twin model to the blockchain system and send it to the background monitoring system in real time.

[0063] The above are all preferred embodiments of the present invention and are not intended to limit the scope of protection of the present invention. Therefore, all equivalent changes made in accordance with the structure, shape and principle of the present invention should be covered within the scope of protection of the present invention.

Claims

1. A method for real-time monitoring and management of leachate from waste compactors, characterized in that, include: Step S1: Deploy online sensing units in the garbage compressor, monitor the garbage compressor in real time based on the online sensing units to obtain online sensing data information, create a regulatory digital twin model, and display the online sensing data information in real time on the regulatory digital twin model; Step S2: Based on online sensor data, determine whether the leachate from the garbage compressor exceeds the limit or leaks / overflows. If so, trigger a real-time alarm mechanism, output an online monitoring alarm signal and record the monitoring alarm information. Simultaneously, send the online monitoring alarm signal and monitoring alarm information to the background monitoring system and the mobile terminal of the relevant person in charge, perform a drainage operation, and record the real-time leachate drainage information. Step S3: Based on the real-time weather conditions, historical leachate conditions, structure of the waste compressor and surrounding environment in the area where the waste compressor is located, comprehensively analyze and predict whether to perform a drainage operation when a sudden rainstorm occurs, determine the leachate drainage frequency information, and if the drainage operation is initiated, perform the drainage operation based on the leachate drainage frequency information and record the sudden leachate drainage information. Step S4: The treatment point markers around the garbage compressor are summarized into a candidate set of starting treatment points. Based on the water pollution alarm signal and real-time leachate drainage information and / or sudden leachate drainage information, the candidate set of starting treatment points is screened multiple times to obtain a second set of screening treatment points. The optimal transfer treatment point is selected from the second set of screening treatment points. The leachate from the garbage compressor is transferred and treated based on the optimal transfer treatment point, and the transfer parameter information is recorded. Step S5: Display and mark the real-time leachate drainage information, sudden leachate drainage information, and transfer parameter information on the regulatory digital twin model in real time, and upload the regulatory digital twin model to the blockchain system and send it to the background monitoring system in real time.

2. The method for real-time monitoring and management of leachate from a waste compactor according to claim 1, characterized in that, Step S1 specifically includes the following sub-steps: The online sensing unit includes a level gauge, a UV-254 COD sensor, an industrial composite pH electrode, and a camera matrix. Real-time liquid level data is obtained by monitoring the liquid level of leachate from the waste compressor using a liquid level gauge. The chemical oxygen demand (COD) of leachate from a landfill compressor is detected in real time using a UV-254 COD sensor to obtain real-time COD data. Real-time pH data was obtained by measuring the acidity and alkalinity of leachate from waste compressors using an industrial composite pH electrode.

3. The method for real-time monitoring and management of leachate from a waste compactor according to claim 2, characterized in that, Step S1 further includes the following sub-steps: The camera matrix includes a panoramic camera matrix and a partial camera matrix; A panoramic camera matrix is ​​deployed outside the garbage compressor, and panoramic feature image information is obtained by taking multi-angle panoramic photos of the garbage compressor based on the panoramic camera matrix. Obtain basic information about the garbage compressor, including its structural information and the amount of garbage inside. Create a regulatory digital twin model based on the basic information of the garbage compressor and panoramic feature-captured image information. Historical leakage and overflow points of the garbage compressor are obtained. A local camera matrix is ​​deployed based on the historical leakage and overflow points of the garbage compressor. The local camera matrix performs multi-angle real-time monitoring of the leakage and overflow prediction points to obtain leakage and overflow image information. The panoramic feature image information and the leakage and overflow image information are combined to form real-time image information. The real-time liquid level data, the real-time chemical oxygen demand data, the real-time pH data, and the real-time captured image information are combined to form online sensing data information, which is then displayed and marked in real time on the regulatory digital twin model.

4. The method for real-time monitoring and management of leachate from a waste compactor according to claim 3, characterized in that, Step S2 specifically includes the following sub-steps: The real-time liquid level data is compared with a preset liquid level threshold. If the real-time liquid level data is greater than or equal to the preset liquid level threshold, it is determined that the leachate level of the garbage compressor exceeds the limit, and a liquid level alarm signal is output. If the real-time liquid level data is less than the preset liquid level threshold, the real-time liquid level growth rate is calculated based on the real-time liquid level data. Based on the real-time liquid level growth rate, the time required for the liquid level in the leachate collection tank of the garbage compressor to reach the liquid level threshold is determined, and the time required for the liquid level to exceed the limit is obtained. If the time required for the liquid level to exceed the limit is less than the preset safe time for the liquid level to exceed the limit, it is determined that there is a risk of the liquid level exceeding the limit in the leachate of the garbage compressor, and a liquid level warning signal is output. The real-time chemical oxygen demand (COD) data is compared with a preset COD threshold. If the real-time COD data is greater than or equal to the preset COD threshold, it is determined that the leachate from the garbage compressor is severely polluted by organic matter, and a water quality organic matter pollution alarm signal is output. The real-time pH data is compared with the preset pH standard range. If the real-time pH data exceeds the pH standard range, it is determined that the leachate from the garbage compressor is seriously polluted by acidic and alkaline substances, and a water quality acid and alkaline substance pollution alarm signal is output. The water quality organic matter pollution alarm signal and the water quality acid and alkali matter pollution alarm signal are combined to form the water quality pollution alarm signal; Based on the leak and overflow image information, determine whether there is a leak or overflow of leachate from the garbage compressor. If there is a leak or overflow, output a leak and overflow alarm signal. Upon receiving the liquid level alarm signal, the water quality pollution alarm signal, or the leakage / overflow alarm signal, an online monitoring alarm signal is output and the monitoring alarm information is recorded. The alarm information includes the alarm coordinates and the alarm timestamp. The monitoring alarm information is then categorized, displayed, and marked on the regulatory digital twin model. The online monitoring alarm signals and monitoring alarm information are simultaneously sent to the background monitoring system and the mobile terminals of relevant personnel; Upon receiving the online monitoring alarm signal, the pumping equipment in the leachate collection tank of the waste compressor is activated to perform a pumping operation until the liquid level in the leachate collection tank of the waste compressor is below the preset safe liquid level threshold, and the real-time leachate pumping information is recorded.

5. The method for real-time monitoring and management of leachate from a waste compactor according to claim 4, characterized in that, Step S3 specifically includes the following sub-steps: Obtain historical leachate information from the waste compressor, which includes historical leachate generation information and historical leachate water quality information. The system acquires real-time meteorological information for the area where the garbage compressor is located. When a rainstorm warning is issued in the real-time meteorological information for the area where the garbage compressor is located, the system acquires the rainstorm meteorological information and outputs a rainstorm meteorological warning signal. The rainstorm meteorological information includes the predicted rainfall amount and the predicted rainfall time. Based on the structural information of the garbage compressor and the panoramic feature image information, the degree of exposure of the leachate collection tank in the garbage compressor structure is determined to obtain the exposure degree of the collection tank. The exposure degree of the collection tank is compared with the preset exposure threshold of the collection tank. If the exposure degree of the collection tank is greater than the preset exposure threshold of the collection tank, it is determined that the structural design of the garbage compressor leachate is easily affected by the rainstorm, and rainstorm structure warning information is output. Upon receiving both a rainstorm weather warning and a rainstorm structure warning, an early warning signal for the collection pool pumping out is output. Combining the dynamic weighted fusion algorithm, based on the real-time liquid level growth rate, historical leachate generation information and predicted rainfall, the impact of real-time liquid level changes, historical leachate generation and rainstorm weather conditions on the pumping frequency of the leachate collection tank of the garbage compressor is comprehensively judged, and leachate pumping frequency information is obtained. Upon receiving the early warning signal for drainage from the collection pool, the system determines the equipment start-up time based on the predicted rainfall time. Based on the equipment start-up time, the system starts the preset drainage equipment in the leachate collection pool of the garbage compressor and performs drainage operations based on the leachate drainage frequency information until the liquid level in the leachate collection pool of the garbage compressor is below the preset safe liquid level threshold. The system also records the information on sudden leachate drainage.

6. The method for real-time monitoring and management of leachate from a waste compactor according to claim 5, characterized in that, Step S4 specifically includes the following sub-steps: If the water pollution alarm signal is not received, the treatment points around the garbage compressor will be marked and summarized into a candidate set of starting treatment points; When the water quality organic matter pollution alarm signal and / or the water quality acid and alkali matter pollution alarm signal are received in the water quality pollution alarm signal, the candidate set of the starting treatment point is preliminarily screened to obtain the first screening candidate set of treatment points; The real-time leachate drainage information includes the real-time leachate drainage volume, the real-time leachate drainage point coordinates, and the real-time leachate drainage timestamp. The sudden leachate drainage information includes the sudden leachate drainage volume, the sudden leachate drainage point coordinates, and the sudden leachate drainage timestamp. Based on the real-time leachate discharge volume and / or the sudden leachate discharge volume, select treatment points in the first screening treatment point candidate set whose capacity is higher than the real-time leachate discharge volume and / or the sudden leachate discharge volume, and mark them as the second screening treatment point candidate set. Based on the coordinates of the real-time leachate drainage point and / or the coordinates of the sudden leachate drainage point, the distance between the coordinates of the real-time leachate drainage point and / or the coordinates of the sudden leachate drainage point and each treatment point in the second screening treatment point candidate set is calculated to obtain the transfer treatment distance of each treatment point in the second screening treatment point candidate set. The processing point with the shortest transfer processing distance among the second screening processing point candidates is selected and marked as the optimal transfer processing point; Based on the real-time leachate drainage point coordinates and / or the sudden leachate drainage point coordinates, as well as the optimal transfer and treatment point, the drained leachate is transferred and processed, and the transfer parameter information is recorded.

7. The method for real-time monitoring and management of leachate from a waste compactor according to claim 6, characterized in that, Step S5 specifically includes the following sub-steps: Real-time leachate drainage information, sudden leachate drainage information, and transfer parameter information are simultaneously displayed and marked on the regulatory digital twin model in real time. The regulatory digital twin model is sent to the back-end monitoring system based on the wireless communication module; The regulatory digital twin model is simultaneously uploaded to the blockchain system and updated in real time.

8. A real-time monitoring and management system for leachate from a garbage compactor, characterized in that, The real-time monitoring and management system for leachate from waste compressors is used to implement the real-time monitoring and management method for leachate from waste compressors as described in any one of claims 1-7, including: The data acquisition module (1) is configured to deploy an online sensing unit on the garbage compressor, and to obtain online sensing data information by real-time monitoring of the garbage compressor based on the online sensing unit, to create a regulatory digital twin model, and to display the online sensing data information on the regulatory digital twin model in real time. The situation awareness module (2) is configured to determine whether the leachate from the garbage compressor exceeds the limit or leaks and overflows based on online sensor data. If it does, it triggers a real-time alarm mechanism, outputs an online monitoring alarm signal and records the monitoring alarm information, and simultaneously sends the online monitoring alarm signal and the monitoring alarm information to the background monitoring system and the mobile terminal of the relevant person in charge and performs the pumping operation, and records the real-time leachate pumping information. The sudden prediction module (3) is configured to comprehensively analyze and predict whether to perform drainage operation when a sudden rainstorm event occurs based on the real-time weather conditions, historical leachate conditions, structure of the garbage compressor and surrounding environment in the area where the garbage compressor is located, and to determine the leachate drainage frequency information. If the drainage operation is started, the drainage operation is performed based on the leachate drainage frequency information, and the sudden leachate drainage information is recorded. The transfer analysis module (4) is configured to summarize the treatment point markers around the garbage compressor into a candidate set of starting treatment points, and based on the water pollution alarm signal and real-time leachate drainage information and / or sudden leachate drainage information, to screen the candidate set of starting treatment points multiple times to obtain a second set of screening treatment points, to select the optimal transfer treatment point in the second set of screening treatment points, to transfer the leachate from the garbage compressor based on the optimal transfer treatment point and then to process it, and to record the transfer parameter information. The record upload module (5) is configured to display and mark real-time leachate drainage information, sudden leachate drainage information and transfer parameter information on the regulatory digital twin model in real time, and upload the regulatory digital twin model to the blockchain system and send it to the background monitoring system in real time.

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