Informatization management system for associated mineral material disposal

Abstract

The invention relates to the technical field of informatization management, and discloses an informatization management system for associated mineral material disposal, comprising a waste source management module used for auditing, approving and registering waste delivery; the weighing management module is used for weighing and recording the waste vehicles; the vehicle washing management module is used for checking the waste vehicles and establishing a vehicle management mechanism; the transfer station management module is used for storage, temporary disposal and monitoring of solid waste; the landfill area management module predicts the service life of a landfill area through a machine learning algorithm, and dynamically adjusts a landfill plan to prolong the service cycle of a landfill; the intelligent supervision network enables the modules to share and link information in real time. According to the invention, the problem of information isolation in the prior art is effectively solved, comprehensive monitoring and management of the waste disposal process are realized, an omnibearing and blind-spot-free information management system is constructed, and seamless data exchange and linkage between an intelligent information management system of a disposal site and a key operation system are realized.

Description

Technical Field

[0001] The present invention relates to the technical field of information management, and in particular to an information management system for the disposal of associated mineral materials. Background Art

[0002] The generation of associated radioactive waste is an inevitable phenomenon in the process of mining industrialization. With the continuous development of the mining industry, how to effectively, safely and environmentally friendly dispose of these wastes has become a technical problem that needs to be solved. At present, countries around the world are gradually paying attention to the management of associated radioactive waste. Many countries have established corresponding disposal sites and management systems to deal with the potential threats of radioactive waste to the environment and human health.

[0003] At present, in the field of associated radioactive solid waste disposal in China, the main related projects are relatively backward in the automation management of waste disposal, with few automation equipment involved, and the information between modules is isolated, failing to form an effective information integration system. This situation leads to inefficient waste management, the inability to share data in real time, and difficulty in forming comprehensive and accurate management information.

[0004] Existing technical solutions mainly rely on manual operation and traditional management models, lacking intelligent equipment and system integration, resulting in inaccurate information records and inefficient operation processes in waste source management, weighing management, car wash management, etc. In addition, there are also problems of information isolation in environmental monitoring and occupational health management, which cannot respond to potential safety hazards in a timely manner, increasing the risks to operators and the environment.

[0005] In the process of implementing the technical solution of the present invention, the inventors found that the prior art has at least the following technical problems: Information isolation and lack of data integration: The existing modules fail to form effective information integration, resulting in the inability to share data in real time, affecting the timeliness and accuracy of decision-making.

[0006] Inefficient management: The traditional management model relies on manual operations, resulting in low work efficiency in each link, delays in information recording and processing, and increased complexity of waste management.

[0007] Insufficient safety hazards and responses: In environmental monitoring and occupational health management, the lack of real-time monitoring and data analysis makes it impossible to identify and respond to safety hazards in a timely manner, increasing the risks to operators.

[0008] In summary, the existing technical solutions have failed to effectively solve the problem of information management in the process of disposal of associated radioactive solid waste. There is an urgent need for an efficient and intelligent information management system to improve the safety, efficiency and environmental protection of waste disposal. Summary of the invention

[0009] In order to make up for the above deficiencies, the present invention provides an information management system for the disposal of associated mineral materials, aiming to improve the technical problems of information isolation and low management efficiency in the prior art, and to achieve efficient, transparent and intelligent waste disposal management effects.

[0010] To achieve the above object, the present invention provides the following technical solution: an information management system for the disposal of associated mineral materials, comprising: Waste source management module, used for review, approval and registration of waste delivery; The weighing management module is used to record the weighing of scrap transport vehicles; The car wash management module is used to inspect scrapped vehicles and establish a vehicle management mechanism; Transfer station management module for storage, temporary disposal, monitoring and surveillance of solid waste; The landfill management module is used to divide the landfill area and generate a landfill schedule. It can also provide real-time monitoring data of the landfill area, predict the service life of the landfill area through machine learning algorithms, and dynamically adjust the landfill plan to extend the life cycle of the landfill. Park surveillance video module, used to display video surveillance content of the disposal site; Occupational health and environmental monitoring module, used to record employee occupational health examination content and environmental testing content; and The intelligent supervision network enables real-time information sharing and linkage between modules.

[0011] Preferably, it also includes: Sewage disposal module, used to demonstrate the sewage disposal process; The system settings and permission management module is used to set different permissions for different personnel.

[0012] Preferably, the intelligent supervision network is integrated using the standard protocol OPC, including: Internet of Things modules, which collect, transmit and share data in real time through the Internet or local area network, and include but are not limited to sensors, RFID tags, Bluetooth modules and Internet devices; A data fusion and analysis module, which is used to aggregate multi-source data into an intelligent data platform for comprehensive analysis. The data fusion and analysis module uses big data analysis and artificial intelligence technology to identify abnormal situations, predict potential risks, and automatically respond or alert managers; Automation and remote control module, which is used to perform real-time and accurate control of intelligent gate access control and unmanned vehicles. The automation and remote control module automatically adjusts equipment operation according to monitoring data or preset conditions, and can remotely control the movement of cranes or the path planning of vehicles; An efficient communication module, which uses one or more combinations of 5G, LoRa, Wi-Fi or Bluetooth for real-time control and data exchange of remote devices; The secure encryption module uses end-to-end encryption and secure identity authentication mechanisms to ensure secure data transmission.

[0013] Preferably, the waste source management module comprises: Waste generating unit management unit, used to record and manage the information of waste generating units, including basic enterprise information, industry classification, address and legal person information; The waste type review unit is connected to the waste generation unit management unit to review the characteristics of the waste and establish a waste approval process. The characteristics of the waste include chemical properties, hazardousness, and radioactivity; The waste transportation plan management unit is connected with the waste generation unit management unit and the waste type review unit to formulate waste transportation plans and make dynamic adjustments; The waste generation recording unit is used to record the generation time, quantity and source of waste in real time and save the data to the historical record database.

[0014] Preferably, the weighing management module includes: Weighing data collection unit, used to collect the vehicle's net weight, gross weight and waste weight data in real time; The vehicle identification unit confirms the identity of the transport vehicle through the automatic license plate recognition system, RFID tag or QR code scanning module; The weight data verification unit is used to compare the weighing data with the planned transport weight and detect excess or abnormal conditions; Waste type and weight association unit, used to bind weighing data to waste type to ensure the accuracy of data records; Abnormal alarm unit, which triggers alarms for overweight, non-compliant vehicles or unauthorized waste based on preset rules; History storage unit, used to save weighing records and provide data retrieval and report export functions; Dynamic weighing dispatch unit, used to adjust transportation tasks according to real-time weighing data and optimize dispatch plans; Data analysis unit, used to perform statistical analysis on weighing data and generate reports and trend charts.

[0015] Preferably, the car wash management module includes: Vehicle identification unit, used to automatically identify scrapped vehicles through RFID, license plate recognition or QR code scanning technology and match them with the vehicle database; A car washing equipment control unit is used to control the automatic or manual operation of a high-pressure water gun, a brush washing device or other car washing equipment to complete the cleaning of the vehicle exterior; The sewage collection and treatment unit is used to collect the sewage generated during the car washing process and separate, treat or recycle the sediment and pollutants in the sewage; Vehicle inspection unit, used to check the vehicle's tightness, leak-proofness and waste residue through manual or automated equipment; a decontamination unit, used to clean away radioactive contaminants; A video monitoring unit, used for real-time monitoring of the car wash area and uploading video data to the information management system for the associated mineral material disposal; Vehicle information registration unit, used to record the vehicle's washing time, processing results and related information; The vehicle queuing and dispatching unit is used to intelligently manage and dispatch the washing sequence and entry and exit times of the scrap vehicles.

[0016] Preferably, the transfer station management module includes: Solid waste storage unit, used for classified storage of solid waste, equipped with anti-leakage, anti-rain and anti-scattering devices; Temporary solid waste disposal units, including crushing equipment, compression equipment, screening equipment and sorting equipment, for preliminary treatment of solid waste to reduce its volume or optimize subsequent disposal; A monitoring unit for real-time monitoring of environmental parameters in the transfer station area; Monitoring unit, including video monitoring system and data recording equipment, used to record the storage and disposal process of solid waste and abnormal conditions; Information management unit, used to record the type, source, weight, storage time and disposal process of solid waste, and can provide data traceability and sharing functions; The emission control unit is used to treat the waste gas and leachate generated by the transfer station. The emission control unit includes a waste gas treatment device and a leachate collection and treatment system to ensure that pollutant emissions meet environmental protection requirements.

[0017] Preferably, the landfill area management module includes: The landfill area division unit is used to digitally divide the landfill area and mark the regional capacity, anti-seepage system status and coverage requirements; A landfill schedule generating unit, used to generate a dynamic landfill schedule according to the landfill area capacity and the landfill speed, and adjust the landfill order through an optimization algorithm, wherein the landfill schedule generating unit predicts the service life of the landfill area through a machine learning algorithm, and dynamically adjusts the landfill plan to extend the service life of the landfill; Environmental monitoring unit: used to monitor soil quality, groundwater infiltration pollution and harmful gas concentration around the landfill area, and can provide real-time monitoring data; The anti-seepage system management unit includes an anti-seepage membrane monitoring device and a leachate collection and treatment system to prevent pollutant leakage; The site management unit is used to record the source, type, weight and landfill location of each landfill of solid waste; Landfill status monitoring unit, used for real-time monitoring of capacity usage and 3D modeling of landfill areas; The information management unit is used to connect with the government environmental supervision platform, and can upload, share and dynamically monitor landfill area data.

[0018] Preferably, the park monitoring video module has real-time video monitoring, abnormal behavior recognition, environmental parameter linkage, historical playback, security alarm, video storage backup and authority management functions. The park monitoring video module has environmental monitoring data and production management system, which can display multiple screens in real time including landfill operation area, transportation area and leachate treatment key area, and provide operation efficiency evaluation and emergency command support through AI intelligent analysis; The occupational health and environmental monitoring module includes an occupational health examination record module and an environmental monitoring module, which can record and link the content of employees' occupational health examinations and workplace environmental parameters in real time, and ensure occupational health and safety and environmental compliance through abnormal warning mechanisms and comprehensive reporting functions. At the same time, it can perform data encryption, authority management and linkage operations with the production system.

[0019] Preferably, the landfill schedule generation unit predicts the service life of the landfill area through a machine learning algorithm and dynamically adjusts the landfill plan to extend the service life of the landfill, specifically comprising the following steps: Step 1: Deploy capacity monitoring sensors, solid waste characteristic sensors, environmental monitoring sensors, leachate monitoring devices and gas monitoring sensors to collect key landfill data in real time, including capacity changes, solid waste types and characteristics, environmental conditions, leachate and gas emissions; Data storage and preprocessing use cloud databases and distributed storage systems to denoise and standardize real-time data and extract key feature variables; Step 2: Based on the historical data and real-time data of the landfill, a time series prediction model, a regression model and a classification model are constructed to predict the service life of the landfill; Through feature engineering, landfill rate, solid waste classification ratio, and environmental conditions were extracted as variables as input, K-fold cross validation was used to evaluate model performance, and grid search and Bayesian optimization were used to adjust parameters; Step 3: Optimize the order of landfill area use based on the prediction results, first fill the areas with high decomposition rates, then fill the areas with low decomposition rates; Dynamically adjust the landfill speed based on climate conditions to control the daily landfill rate; Solid waste is allocated by classification, with organic waste being allocated to areas with high decomposition rates first; Adjust landfill layer design, including layer thickness and cover material, based on the forecast to optimize capacity utilization and decomposition efficiency; Step 4: Build a 3D landfill model to simulate capacity changes and landfill progress; Use dynamic simulation technology to compare the impact of different landfill strategies and generate a feasibility report for the best landfill plan; Step 5: Monitor landfill capacity changes, leachate volume and gas emissions in real time, and transmit data to the central control system; Update machine learning prediction models based on real-time data to dynamically adjust landfill strategies; Collect feedback from operators and correct model prediction deviations; Step 6: Develop a landfill management software platform and interconnect the information management system for the disposal of associated mineral materials, integrate data collection, dynamic prediction, landfill strategy adjustment and simulation functions, and be able to perform data management and intelligent landfill operations; The dynamic adjustment plan is transmitted to the automation equipment for intelligent control.

[0020] The present invention has the following beneficial effects: 1. In the present invention, due to the use of information integration and automatic control technology, the information isolation problem in the prior art is effectively solved, thereby achieving comprehensive monitoring and management of the waste disposal process.

[0021] 2. In the present invention, through real-time data collection and analysis, the efficiency and safety of waste disposal are improved and the potential impact on the environment is reduced.

[0022] 3. In the present invention, the intelligent management function of the system ensures better health and safety of operators, while improving the scientificity and accuracy of management decisions.

[0023] 4. In the present invention, after system integration, waste sources, weighing, car washing, transfer stations and landfill units, cranes, monitoring, sewage treatment and other equipment and facilities are uniformly managed. Each subsystem can call and synchronize data from other subsystems in a timely manner to achieve efficient management of waste.

[0024] 5. In the present invention, multiple systems such as video surveillance, intelligent gate access control, high-sensitivity radiation monitoring system, truck scale equipment, remote-controlled cranes and unmanned vehicles are closely connected to form an efficient and coordinated intelligent supervision network.

[0025] 6. In the present invention, from strict control of the source of waste generation to accurate records of transportation companies, every link is under control, including tracking of waste delivery vehicles, detailed information recording of waste packages, precise weighing and measurement, and temporary storage management at transfer stations, until the precise coordinate positioning of each ton bag in the landfill area, thus building an all-round information management system with no blind spots.

[0026] 7. In the present invention, the barriers between traditional systems are broken, and seamless data exchange and linkage between the intelligent information management system of the disposal site and key operating systems such as the crane control system are realized. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] Figure 1 This is a structural diagram of an information management system for associated mineral material disposal proposed by the present invention; Figure 2 A schematic diagram of an implementation of the waste source management module proposed in the present invention; Figure 3 A schematic diagram of an implementation of the car wash management module proposed by the present invention; Figure 4 A schematic diagram of an implementation of the weighing management module proposed in the present invention; Figure 5 A schematic diagram of an implementation of the transfer station management module proposed in the present invention; Figure 6 A schematic diagram of an implementation of the landfill area management module proposed by the present invention; Figure 7 A schematic diagram of an implementation of the park monitoring video module proposed by the present invention; Figure 8 A schematic diagram of an implementation of the sewage treatment module proposed in the present invention; Fig. 9 A schematic diagram of an implementation of the environment monitoring module proposed in the present invention; Fig.10 A schematic diagram of an implementation of the occupational health examination record module proposed in the present invention; Fig.11 This is a schematic diagram of other system access in an implementation manner proposed by the present invention. Fig.12 This is a schematic diagram of other system access in an implementation manner proposed by the present invention. DETAILED DESCRIPTION

[0028] The technical solutions in the embodiments of the present invention will be described clearly and completely below 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 creative work are within the scope of protection of the present invention.

[0029] Reference Figure 1-Figure 12 An embodiment provided by the present invention is an information management system for the disposal of associated mineral materials, comprising: Waste source management module, used for review, approval and registration of waste delivery; The weighing management module is used to record the weighing of scrap transport vehicles; The car wash management module is used to inspect scrapped vehicles and establish a vehicle management mechanism; Transfer station management module for storage, temporary disposal, monitoring and surveillance of solid waste; Landfill area management module, used to divide landfill areas and generate landfill schedule; Park surveillance video module, used to display video surveillance content of the disposal site; Occupational health and environmental monitoring module, used to record employee occupational health examination content and environmental testing content; Sewage disposal module, used to demonstrate the sewage disposal process; System settings and permission management module, used to set different permissions for different personnel; And other modules or systems that need to be connected, other modules that need to be connected are integrated with the above systems through standardized protocols.

[0030] Through the close connection of video surveillance, intelligent gate access control, high-sensitivity radiation monitoring system, truck scale equipment, remote-controlled cranes and unmanned vehicles, an efficient and coordinated intelligent supervision network is formed, which enables real-time information sharing and linkage between modules; From strict control of the source of waste generation to accurate records of transportation companies, including tracking of waste delivery vehicles, detailed information recording of waste bags, precise weighing and measurement, and temporary storage management at transfer stations, to the precise coordinate positioning of each ton bag in the landfill area, a comprehensive and blind-spot-free information management system is built.

[0031] In one embodiment, the intelligent supervision network is integrated using the standard protocol OPC, including: Internet of Things modules, which collect, transmit and share data in real time through the Internet or local area network. Internet of Things modules include but are not limited to sensors, RFID tags, Bluetooth modules and Internet devices; Data fusion and analysis module: The data fusion and analysis module is used to collect multi-source data (video surveillance, radiation monitoring, vehicle weight, mechanical operation, etc.) on the intelligent data platform for comprehensive analysis. The data fusion and analysis module uses big data analysis and artificial intelligence technology to identify abnormal situations, predict potential risks, and automatically respond or remind managers. For example, the radiation monitoring system can be combined with video surveillance to automatically identify people or vehicles entering high-radiation areas and take safety measures in a timely manner.

[0032] Automation and remote control module: The automation and remote control module is used to perform real-time and accurate control of intelligent gate access control and unmanned vehicles. The automation and remote control module automatically adjusts equipment operation according to monitoring data or preset conditions, and can remotely control the movement of cranes or the path planning of vehicles; High-efficiency communication module, which uses one or more combinations of 5G, LoRa, Wi-Fi or Bluetooth for real-time control and data exchange of remote devices; Security encryption module, the security encryption module adopts end-to-end encryption and secure identity authentication mechanism to ensure the secure transmission of data.

[0033] Among them, the waste source management module is one of the core parts of the entire information management system for the disposal of associated mineral materials. It is mainly used to realize management functions such as review, approval and registration from the source of waste to ensure the legality and standardization of waste disposal.

[0034] In one embodiment, the waste source management module specifically includes: The waste generating unit management unit includes a waste generating unit information database, a user management module, and a permission allocation module; it is used to record the information of the waste generating unit (such as company name, industry classification, address, and legal person information), allocate permissions to the waste generating unit, and ensure the legitimacy of the waste sending enterprise and system access; Waste type review unit, which includes a waste classification database, a waste characteristics analysis module, and an approval workflow module; it is used to classify and review wastes based on their chemical properties, radioactivity, and hazardousness, and to establish an approval process to ensure that hazardous wastes are handled in compliance with regulations; The waste transportation plan management unit includes a waste transportation plan module, a scheduling optimization algorithm module, and a dynamic adjustment module. It is used to formulate waste transportation plans, including the arrangement of vehicles, routes, and time, and to dynamically adjust the plans in real time to deal with emergencies; A waste generation recording unit, which includes a real-time data collection module and a historical record database; Used to record the time, quantity and source of waste generation in real time, and save historical data for query and analysis; The waste traceability management unit includes a waste traceability database, an identification generation module (RFID or QR code generation), and a traceability query module; it is used to generate a unique identification for each batch of waste and to trace the entire life cycle of waste from generation to landfill by scanning tags (such as RFID or QR codes); The waste package detailed information recording unit includes a packaging monitoring module, a weight recording module, and a characteristic analysis module; it is used to record the information of each waste package in detail, including weight, type, characteristics, and packaging method; The abnormal alarm unit includes an alarm triggering rule module, an abnormal processing module, and a notification module; it is used to trigger an alarm for waste or abnormal processes that do not meet the audit standards, and notify relevant management personnel to handle them in a timely manner.

[0035] In one embodiment, the waste source management module includes: Waste generating unit management unit, used to record and manage the information of waste generating units, including basic enterprise information, industry classification, address and legal person information; The waste type review unit is connected to the waste generation unit management unit to review the characteristics of the waste and establish a waste approval process. The characteristics of the waste include chemical properties, hazardousness, and radioactivity; The waste transportation plan management unit is connected with the waste generation unit management unit and the waste type review unit to formulate waste transportation plans and make dynamic adjustments; The waste generation recording unit is used to record the generation time, quantity and source of waste in real time and save the data to the historical record database.

[0036] Among them, the weighing management module is an important functional part of the waste management system. It is mainly used to weigh and record the waste delivery vehicles to ensure the accuracy of the quantity and weight during the waste transportation process. This module can prevent problems such as excessive waste transportation and illegal treatment, and provide data support for the entire process.

[0037] In one embodiment, the weighing management module includes the following units: Weighing data acquisition unit: Composition: weighing scale hardware equipment, weighing sensor, data acquisition card, connection interface module.

[0038] Function: Collect the net weight, gross weight and waste weight of the vehicle in real time, obtain accurate data through weighing equipment (such as floor scales or dynamic weighing devices), and upload them to the system.

[0039] Vehicle Identification Unit: Composition: license plate recognition system (OCR module), RFID reader / writer, QR code scanning module.

[0040] Function: Quickly confirm the identity of the scrapped vehicle through automatic license plate recognition, RFID tag or QR code scanning, and match it with the corresponding transportation plan.

[0041] Weight data verification unit: Composition: data comparison module, historical record database, error detection algorithm.

[0042] Function: Compare weighing data with planned transport weight to detect excess or deviation; and eliminate abnormal data through error detection algorithm.

[0043] Waste type and weight association unit: Composition: waste characteristics database, weight association module, dynamic adjustment module.

[0044] Function: Bind weighing data with waste type information to ensure accurate weight data records of different waste types for subsequent traceability and compliance verification.

[0045] Abnormal alarm unit: Composition: overweight alarm module, non-compliant waste identification module, notification management module.

[0046] Function: When overweight transport, non-compliant vehicles, unauthorized waste, etc. are detected, an alarm is triggered and management personnel are notified to handle the situation.

[0047] History storage unit: Composition: weighing data storage database, data retrieval module, data export module.

[0048] Function: Save all weighing records to facilitate subsequent data query, analysis and generation of regulatory reports.

[0049] Dynamic weighing dispatch unit: Composition: transportation plan optimization module, scheduling update module.

[0050] Function: Dynamically adjust the vehicle's transportation tasks based on real-time weighing data to optimize transportation efficiency and avoid transportation overload.

[0051] Data Analysis Unit: Composition: statistical analysis module, visual chart generation module, report generation module.

[0052] Function: Perform statistical analysis on weighing data, generate reports on key indicators such as transportation efficiency and overload rate, and provide trend analysis.

[0053] Specifically, the weighing data acquisition unit integrates high-precision weighing equipment, which can achieve seamless switching between static weighing and dynamic weighing modes. The vehicle identification unit uses automatic license plate recognition technology combined with RFID tag technology to quickly verify the legality of vehicle transportation and associate vehicle information with transportation plans. The abnormal alarm unit can detect situations including overweight transportation, illegal vehicle transportation and unauthorized waste loading, and send notifications to regulatory authorities in real time. The dynamic weighing scheduling unit can adjust subsequent vehicle scheduling based on real-time weighing data and transportation progress to avoid overloaded and empty transportation.

[0054] The weighing management module combines hardware and software to achieve accurate weight monitoring, compliance verification and dynamic scheduling optimization during waste transportation, ensuring the efficient operation and safety compliance of the waste management system.

[0055] Among them, the car wash management module is used to inspect scrapped vehicles and establish a vehicle management mechanism to ensure vehicle cleanliness, safety and efficient management.

[0056] In one embodiment, the car wash management module includes a WeChat applet.

[0057] The car wash management module is implemented through a supporting WeChat applet, which aims to check and record dirty vehicles in the factory area, perform car wash operations and control departure. The applet is closely linked with the factory system to ensure that the car wash process meets management requirements. The functions of the WeChat applet include the following parts: Vehicle inspection record: Inspectors use WeChat mini-programs to record the dirtiness of the vehicle, including inspections of different parts such as the body, windows, and wheels.

[0058] The system will automatically generate an inspection report and upload it to the information platform for subsequent operation query and statistics.

[0059] Car wash process management: Reservation function: When your vehicle needs a car wash, you can make an appointment for the car wash time through the WeChat mini program to facilitate the reasonable arrangement of car wash resources.

[0060] Progress tracking: The WeChat mini program provides a car wash progress tracking function, where users can view the car wash process in real time to ensure that the wash is completed in accordance with regulations.

[0061] Completion record: After the car wash is completed, the system will automatically record the completion time of the car wash and upload it to the database, providing a basis for subsequent vehicle departure.

[0062] Departure control: After the vehicle is washed, it must be confirmed by the system that the washing is completed before leaving the factory. The system will strictly enforce this management requirement to ensure that every vehicle leaving the factory has been cleaned.

[0063] WeChat Mini Program Technical Implementation Front-end framework: The front-end interface of the WeChat applet is developed using WXML, WXSS, and JavaScript to implement the display and interaction logic of the user interface. Through a simple and intuitive operation process, it ensures that inspectors and managers can complete various tasks efficiently.

[0064] Database: User data, car wash records, vehicle inspection data and other information are stored in relational databases such as MySQL to ensure data security and query efficiency.

[0065] Data upload and real-time monitoring: Based on the Internet of Things and Industrial Internet technologies, the car wash WeChat applet can upload production data such as car wash inspection and leachate monitoring to the information platform in real time, ensuring that all data can be summarized in a timely manner for remote monitoring and analysis.

[0066] The WeChat applet uses IoT technology and the plant management system to monitor and optimize the car washing and decontamination process. By uploading real-time data, managers can effectively track the execution of various operations, ensure that the vehicles are clean and free from the harm of residual radioactive pollutants, and improve overall operational safety.

[0067] In one embodiment, the car wash management module includes the following units: 1. Vehicle identification unit Automatically identify vehicle information through RFID (radio frequency identification), license plate recognition, QR code scanning and other technologies. Confirm the identity of the scrapped vehicle and match it with the vehicle database in the system to ensure that the vehicle is authorized to enter the car wash and scrapping process.

[0068] 2. Car wash equipment control unit Control the automatic or manual operation of car washing equipment (such as high-pressure water guns and brush washing devices) to complete vehicle cleaning. Clean the exterior of the waste transport vehicle, especially the chassis and tires, to prevent waste from being carried out and contaminating other areas, while improving transportation safety.

[0069] 3. Sewage collection and treatment unit Collect the wastewater generated during the car wash process, separate and treat the silt and pollutants in the wastewater, reduce the impact of car wash on the environment, and ensure that the wastewater can be properly treated or recycled in accordance with environmental protection standards.

[0070] 4. Vehicle inspection unit Use manual or automated equipment (such as video surveillance, sensors) to check whether the vehicle complies with relevant regulations. Check the vehicle's sealing and leakage prevention, as well as whether there is any unwashed waste residue, to ensure the vehicle's transportation safety and environmental compliance.

[0071] 5. Decontamination unit To ensure that vehicles meet standards when leaving the plant, decontamination units are used to clean radioactive contaminants. This process helps prevent and control contamination risks during solid waste transportation.

[0072] 6. Vehicle queuing and dispatching unit Through the intelligent queuing and dispatching system, the order and entry and exit times of the vehicles transporting waste are managed. The car wash process is optimized, traffic congestion is reduced, and the efficiency and management capacity of car wash are improved.

[0073] 7. Video surveillance unit The car wash area is fully monitored and the monitoring data is uploaded to the system in real time. The transparency of the car wash process is ensured, and the car wash operation is recorded and evidence is preserved for supervision and tracing.

[0074] 8. Vehicle information registration unit After the car wash is completed, the washing time, processing results and related information of the vehicle are recorded. The vehicle status information in the system is updated to provide data support for subsequent transfer station management, landfill area management and other modules.

[0075] 9. Automatic control and fault alarm unit Monitor the operating status of the car wash equipment in real time, automatically alarm when the equipment is abnormal, and generate maintenance reminders. Ensure the stable operation of the car wash equipment and reduce the impact of equipment failure on the overall process.

[0076] 10. Personnel Operation and Management Unit Record the operation logs of the staff in the car wash area, provide operation guidance and authority management, standardize the operation process, clarify the responsibility, and prevent human errors.

[0077] These units are linked through an intelligent supervision network. For example: The vehicle identification unit works in conjunction with the vehicle queuing and dispatching unit to ensure that vehicles enter the car wash process in an orderly manner. The car wash equipment control unit is linked to the sewage collection and treatment unit to monitor the sewage treatment in real time. The vehicle inspection unit works in conjunction with the video surveillance unit to ensure that the inspection process is well documented.

[0078] Through efficient division of labor and collaboration among various units, comprehensive inspection, cleaning and management of scrap vehicles can be achieved, providing guarantees for the environmental friendliness and safety of the disposal of associated mineral materials.

[0079] In one embodiment, the transfer station management module includes: Solid waste storage unit: used to classify and store different types of solid waste to prevent pollution caused by mixing of solid waste.

[0080] Equipped with anti-leakage, anti-rain and anti-dispersion devices to ensure the safety and stability of the solid waste storage environment.

[0081] Temporary solid waste disposal unit: includes crushing, compression, screening, sorting and other equipment, which is used for preliminary treatment of solid waste to reduce its volume or facilitate subsequent transportation and final disposal.

[0082] Monitoring unit: equipped with gas monitors, liquid monitors, temperature and humidity sensors and other equipment to monitor the environmental conditions of solid waste storage and disposal areas in real time (such as air quality, toxic gas concentration, leachate emissions, etc.).

[0083] Monitoring unit: includes video monitoring system and data recording equipment to monitor the storage and disposal process of solid waste to prevent safety accidents or environmental violations.

[0084] Information management unit: Through the information platform, the types, sources, weight, storage time and disposal process of solid waste are comprehensively recorded, providing traceability and supervision functions.

[0085] Emission Control Unit: Equipped with exhaust gas treatment device, leachate collection and treatment system, it is used to control the emission of pollutants generated by the transfer station to ensure compliance with environmental protection requirements.

[0086] The transfer station management module is mainly used to classify and safely store solid waste to avoid secondary pollution to the environment and human body. The volume of solid waste can be reduced or some of it can be recycled through preliminary treatment equipment to facilitate subsequent transportation or terminal disposal. Through monitoring and control, the solid waste transfer station can be prevented from causing pollution to the outside world. The flow, disposal method and storage of solid waste are recorded in an informationized manner to facilitate inspection and tracking by regulatory agencies.

[0087] Among them, the solid waste storage unit is equipped with an automated management system, which automatically identifies and records the types and storage quantities of solid waste through intelligent sensors.

[0088] The information management unit can be connected to the environmental supervision platform to realize the full-process data uploading and sharing of solid waste from source to disposal.

[0089] The monitoring unit also includes an abnormal warning system. When the monitoring unit detects that the concentration of toxic gas exceeds the standard or leachate leaks, it generates an alarm signal and notifies the management personnel.

[0090] The solid waste temporary disposal unit can automatically adjust equipment parameters according to the type and physical properties of the solid waste, including compression force, screening accuracy and sorting efficiency.

[0091] In one embodiment, the landfill area management module specifically includes: Landfill area division unit: Digitally divide the landfill area through the Geographic Information System (GIS). Mark the capacity, geological characteristics, anti-seepage system and cover requirements of each area. Provide area number and corresponding landfill record.

[0092] Landfill schedule generation unit: Generates dynamic landfill schedule according to landfill area capacity, solid waste type and landfill speed. Equipped with automated optimization algorithm to adjust landfill order and schedule according to landfill demand.

[0093] Anti-seepage system management unit: including anti-seepage membrane monitoring, anti-seepage liquid collection device and leachate treatment equipment. The monitoring system monitors the state of the anti-seepage layer in real time to prevent pollutant leakage. The anti-seepage system management unit also includes a leachate recycling device, which is used to use the treated leachate for greening of the landfill or compression of solid waste.

[0094] Environmental monitoring unit: equipped with soil, groundwater and gas monitoring equipment to detect the safety status of the environment around the landfill in real time. Focus on monitoring harmful gases (such as methane and hydrogen sulfide) and groundwater infiltration pollution.

[0095] On-site management unit: used to record the source, type, weight and landfill location of each landfill of solid waste. Equipped with QR code scanning or RFID technology to achieve accurate positioning of waste landfill.

[0096] Landfill status monitoring unit: including cameras, drones or lidar systems, to monitor the progress and capacity of the landfill area in real time. Realize 3D modeling of the landfill area and provide real-time visualization of the landfill area.

[0097] Information management unit: Integrate landfill area data, including regional usage, landfill records, environmental monitoring data and planned progress. Support connection with government supervision platform to achieve data upload and sharing.

[0098] Specifically, the landfill area management module improves the utilization rate of landfills and avoids cross-contamination between regions by accurately dividing landfill areas. Dynamically generate landfill plans, optimize landfill progress according to actual conditions, and avoid excessive use of regions or waste of resources. Through anti-seepage systems and environmental monitoring, prevent leachate and harmful gases from polluting the surrounding environment. Achieve full digital management of landfills, including detailed records of landfill location, landfill volume and time. Through monitoring systems and information management, realize visualization and efficiency of landfill operations.

[0099] Among them, the specific steps and technical details of implementing the landfill schedule generation unit are as follows: The landfill schedule generation unit uses machine learning algorithms to predict the service life of the landfill area and optimizes the landfill plan by dynamically adjusting the landfill strategy, thereby extending the life cycle of the landfill. The following are the detailed steps for specific implementation: 1. Data collection and management (1) Sensor and monitoring system deployment Deploy various sensors and monitoring equipment at the landfill to collect key data related to the landfill in real time: Capacity monitoring: Use ground deformation monitoring technology or laser scanners to measure changes in landfill capacity.

[0100] Solid waste characteristics: Sensors detect the type, weight and density of solid waste.

[0101] Environmental data: Meteorological sensors obtain temperature, humidity, rainfall, etc.

[0102] Leachate and Gas Monitoring: Leachate volume and composition: Detected using level monitors and chemical analysis sensors.

[0103] Landfill gas emissions: Install gas sensors to monitor emissions of gases such as methane and carbon dioxide.

[0104] (2) Data storage and preprocessing Use cloud databases or distributed storage systems to manage real-time and historical data: Data preprocessing (denoising, standardization): Use tools such as Python's pandas and numpy to clean and format the data.

[0105] Data classification and labeling: The data is divided into categories such as landfill area information, solid waste characteristics, environmental conditions, and service life.

[0106] (3) Data feature extraction Extract key feature variables as model input: Proportion of solid waste classification (organic / inorganic, construction waste, plastic, etc.).

[0107] Landfill rate (daily change in the amount landfilled).

[0108] Environmental factors (effects of climate on decomposition rates and leachate generation).

[0109] Landfill layer design (thickness of each layer, cover material, etc.).

[0110] 2. Build a machine learning prediction model (1) Model selection For the landfill life prediction task, the following machine learning algorithms are selected: Time series forecasting model: suitable for predicting landfill rate and capacity changes based on time changes.

[0111] Algorithms: ARIMA, LSTM (Long Short-Term Memory).

[0112] Regression model: Predicting remaining capacity and decomposition rate.

[0113] Algorithms: Linear Regression, Random Forest Regression, XGBoost.

[0114] Classification model: used to predict the impact of different landfill strategies on landfill life.

[0115] Algorithms: Support Vector Machine (SVM), Decision Tree Classifier.

[0116] (2) Model training Training dataset: Use historical landfill data (e.g. fill rates, capacity consumption, environmental conditions in a region, etc.).

[0117] Simulation data: Combined with environmental modeling, various landfill usage scenarios are generated.

[0118] Feature Engineering: Landfill rate, solid waste decomposition rate, and environmental conditions were taken as independent variables.

[0119] The output variable is the remaining useful life of the landfill area.

[0120] Cross Validation: K-fold cross validation was used to evaluate model performance and avoid overfitting.

[0121] (3) Model optimization Optimization objective function: maximize landfill capacity utilization and minimize leachate and gas emissions.

[0122] Parameter adjustment technology: Grid Search: Optimize model parameters (such as tree depth, learning rate, etc.).

[0123] Bayesian optimization: Improve the efficiency of model parameter adjustment.

[0124] 3. Dynamically adjust landfill plans (1) Optimization of landfill sequence Using the results of the prediction model, the order in which landfill areas are used is dynamically adjusted: Priority should be given to landfilling in areas with fast decomposition and high capacity utilization.

[0125] For areas where decomposition is slow or unfavorable to the environment, landfill is adopted in stages.

[0126] (2) Landfill speed control Combined with the predicted service life, the daily landfill volume is controlled.

[0127] If the capacity is consumed too quickly, reduce the landfill speed.

[0128] Under certain environmental conditions (such as rainy seasons or high temperature periods), the landfill rate can be reduced to reduce leachate generation.

[0129] (3) Adjustment of solid waste classification Optimize the classification and distribution of solid waste: Organic waste is preferentially landfilled in areas with high decomposition rates.

[0130] Construction waste is allocated to areas with slow decomposition rates and low capacity requirements.

[0131] (4) Hierarchical design optimization Adjust the landfill design based on the prediction results: Increase or decrease the thickness of a single layer.

[0132] Change cover materials to promote decomposition or reduce gas emissions.

[0133] 4. Progress simulation and visualization (1) 3D modeling Using GIS (Geographic Information System) technology and 3D modeling tools (such as Blender, Unity): Simulate capacity changes in landfill areas.

[0134] Visualize future landfill progress and status at each stage.

[0135] (2) Dynamic simulation Simulation using simulation platforms (e.g. AnyLogic, SimPy): Comparing the impacts of different landfill strategies.

[0136] Output a feasibility report of the optimal landfill plan.

[0137] 5. Real-time feedback and optimization (1) Real-time monitoring system Transmit sensor data to the central control system in real time: Monitor changes in landfill capacity.

[0138] Detect leachate and landfill gas emissions.

[0139] (2) Model update Update machine learning models with real-time data: Dynamically adjust prediction results.

[0140] Optimize landfill plans based on actual results.

[0141] (3) Assignment feedback Gathering feedback from landfill operators: Compare the model prediction results with the actual situation.

[0142] Correcting model biases in predictions of landfill rate and sequence.

[0143] 6. System Integration (1) Software Platform Develop landfill management software to integrate the above functional modules into a unified platform: Data management and presentation.

[0144] Dynamic prediction and adjustment.

[0145] Landfill strategy recommendations.

[0146] (2) Automated control Transfer adjustment plans to automated equipment (e.g. garbage dozers, compactors): Realize intelligent landfill operations.

[0147] Through the above process, the landfill schedule generation unit can scientifically predict the service life of the landfill area and dynamically adjust the landfill plan, thereby extending the use cycle of the landfill and improving environmental protection and economic benefits.

[0148] The above technical solution has the following advantages: Improve the utilization rate of landfill capacity and extend its service life. Reduce the frequency of new landfills and reduce construction costs. Optimize landfill rate and strategy to reduce the amount of leachate produced. Reduce the impact of gas emissions on the environment. Realize intelligent management of the entire life cycle of landfills. Provide visual decision support to improve management efficiency.

[0149] In one embodiment, the landfill schedule generation unit includes a data acquisition unit, a machine learning prediction unit, a dynamic adjustment unit, a schedule simulation unit, a real-time feedback unit, and a system integration unit. The landfill schedule generation unit implements dynamic optimization management of the landfill through the following steps: Step 1. Machine learning prediction unit: Deploy capacity monitoring sensors, solid waste characteristic sensors, environmental monitoring sensors, leachate monitoring devices and gas monitoring sensors to collect key landfill data in real time, including capacity changes, solid waste types and characteristics, environmental conditions (temperature, humidity, rainfall, etc.), leachate and gas emissions. Data storage and preprocessing uses cloud databases and distributed storage systems to denoise and standardize real-time data and extract key characteristic variables such as landfill rate and solid waste decomposition rate.

[0150] Step 2. Machine learning prediction unit: Based on the historical data and real-time data of landfills, time series prediction models (such as LSTM, ARIMA), regression models (such as random forest, XGBoost) and classification models (such as decision tree, SVM) are constructed to predict the service life of landfills. Variables such as landfill rate, solid waste classification ratio, and environmental conditions are extracted as inputs through feature engineering, and the model performance is evaluated using K-fold cross validation, and the parameters are adjusted through grid search and Bayesian optimization.

[0151] Step 3. Dynamically adjust the unit: Optimize the order of landfill area use based on the forecast results, prioritize high decomposition rate areas, and delay low decomposition rate areas. Control the daily landfill rate and dynamically adjust the landfill speed based on climatic conditions. Classify and allocate solid waste, and prioritize organic waste to high decomposition rate areas. Adjust the landfill layer design based on the forecast, including layer thickness and cover material, to optimize capacity utilization and decomposition efficiency.

[0152] Step 4. Progress simulation unit: Build a three-dimensional model of the landfill based on GIS technology and 3D modeling tools to simulate capacity changes and landfill progress. Use dynamic simulation technology to compare the impact of different landfill strategies and generate a feasibility report for the best landfill plan.

[0153] Step 5. Real-time feedback unit: monitor the change of landfill capacity, leachate volume and gas emission in real time, and transmit the data to the central control system. Update the machine learning prediction model according to the real-time data and dynamically adjust the landfill strategy. Collect feedback from operators, correct the model prediction deviation, and improve the actual application effect.

[0154] Step 6. System Integration Unit: Develop a landfill management software platform that integrates data collection, dynamic prediction, landfill strategy adjustment and simulation functions to achieve data management and intelligent landfill operations. Transmit dynamic adjustment plans to automated equipment (such as garbage bulldozers and compactors) to achieve intelligent control.

[0155] Through the above steps, the service life of the landfill area can be scientifically predicted, the landfill strategy can be dynamically adjusted, and the landfill rate and sequence can be optimized, thereby extending the landfill life cycle, improving capacity utilization, reducing leachate and gas emissions, and improving environmental protection and economic benefits.

[0156] In this embodiment, the park monitoring video module is a video monitoring system that fully covers the landfill operation area. Its main functions include real-time monitoring, historical playback, abnormal behavior recognition, safety alarm, environmental linkage, operation efficiency evaluation, etc. It also supports remote access and multi-screen display. This module covers key areas such as landfill operation areas, transportation areas, leachate treatment facilities, landfill gas equipment, environmentally sensitive areas, park gates and key equipment to ensure efficient management, safe production and environmental compliance of the park. In addition, the system also has video storage and backup, authority management and data encryption functions, supporting the expanded application of intelligent analysis and emergency command.

[0157] In this embodiment, the occupational health and environmental monitoring module is a system that conducts all-round monitoring and management of employee health and working environment. Its main functions include employee occupational health examination records, health abnormality warnings, environmental data collection, environmental over-standard alarms, comprehensive analysis reports, etc. This module covers employee health examinations, real-time monitoring of workplace environmental parameters (such as dust, noise, gas concentration, temperature and humidity), and can be linked with the park production management system to ensure that employees' occupational health and safety and working environment meet standards. In addition, the system supports health record management, data backup and encryption, and hierarchical authority management, and has high scalability and customization functions.

[0158] Finally, it should be noted that the above is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, it is still possible for those skilled in the art to modify the technical solutions described in the aforementioned embodiments or to make equivalent substitutions for some of the technical features therein. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. An information management system for the disposal of associated mineral materials, characterized in that: include: Waste source management module, used for review, approval and registration of waste delivery; The weighing management module is used to record the weighing of scrap transport vehicles; The car wash management module is used to inspect scrapped vehicles and establish a vehicle management mechanism; Transfer station management module for storage, temporary disposal, monitoring and surveillance of solid waste; The landfill management module is used to divide the landfill area and generate a landfill schedule. It can also provide real-time monitoring data of the landfill area, predict the service life of the landfill area through machine learning algorithms, and dynamically adjust the landfill plan to extend the life cycle of the landfill. Park surveillance video module, used to display video surveillance content of the disposal site; The occupational health and environmental monitoring module is used to record the contents of employees' occupational health examinations and environmental testing; and the intelligent supervision network enables real-time information sharing and linkage between modules.

2. The information management system for associated mineral material disposal according to claim 1 is characterized in that: Also includes: Sewage disposal module, used to demonstrate the sewage disposal process; The system settings and permission management module is used to set different permissions for different personnel.

3. The information management system for associated mineral material disposal according to claim 1 is characterized in that: The intelligent supervision network is integrated using the standard protocol OPC, including: Internet of Things modules, which collect, transmit and share data in real time through the Internet or local area network, and include but are not limited to sensors, RFID tags, Bluetooth modules and Internet devices; A data fusion and analysis module, which is used to aggregate multi-source data into an intelligent data platform for comprehensive analysis. The data fusion and analysis module uses big data analysis and artificial intelligence technology to identify abnormal situations, predict potential risks, and automatically respond or alert managers; Automation and remote control module, which is used to perform real-time and accurate control of intelligent gate access control and unmanned vehicles. The automation and remote control module automatically adjusts equipment operation according to monitoring data or preset conditions, and can remotely control the movement of cranes or the path planning of vehicles; An efficient communication module, which uses one or more combinations of 5G, LoRa, Wi-Fi or Bluetooth for real-time control and data exchange of remote devices; A secure encryption module uses end-to-end encryption and secure identity authentication mechanisms to ensure secure data transmission.

4. The information management system for associated mineral material disposal according to claim 1 is characterized in that: The waste source management module includes: Waste generating unit management unit, used to record and manage the information of waste generating units, including basic enterprise information, industry classification, address and legal person information; The waste type review unit is connected to the waste generation unit management unit to review the characteristics of the waste and establish a waste approval process. The characteristics of the waste include chemical properties, hazardousness, and radioactivity; The waste transportation plan management unit is connected with the waste generation unit management unit and the waste type review unit to formulate waste transportation plans and make dynamic adjustments; The waste generation recording unit is used to record the generation time, quantity and source of waste in real time and save the data to the historical record database.

5. The information management system for associated mineral material disposal according to claim 1 is characterized in that: The weighing management module comprises: Weighing data collection unit, used to collect the vehicle's net weight, gross weight and waste weight data in real time; The vehicle identification unit confirms the identity of the transport vehicle through the automatic license plate recognition system, RFID tag or QR code scanning module; The weight data verification unit is used to compare the weighing data with the planned transport weight and detect excess or abnormal conditions; Waste type and weight association unit, used to bind weighing data to waste type to ensure the accuracy of data records; Abnormal alarm unit, which triggers alarms for overweight, non-compliant vehicles or unauthorized waste based on preset rules; History storage unit, used to save weighing records and provide data retrieval and report export functions; Dynamic weighing dispatch unit, used to adjust transportation tasks according to real-time weighing data and optimize dispatch plans; Data analysis unit, used to perform statistical analysis on weighing data and generate reports and trend charts.

6. The information management system for associated mineral material disposal according to claim 1, characterized in that: The car wash management module includes: Vehicle identification unit, used to automatically identify scrapped vehicles through RFID, license plate recognition or QR code scanning technology and match them with the vehicle database; A car washing equipment control unit is used to control the automatic or manual operation of a high-pressure water gun, a brush washing device or other car washing equipment to complete the cleaning of the vehicle exterior; The sewage collection and treatment unit is used to collect the sewage generated during the car washing process and separate, treat or recycle the sediment and pollutants in the sewage; Vehicle inspection unit, used to check the vehicle's tightness, leak-proofness and waste residue through manual or automated equipment; a decontamination unit, used to clean away radioactive contaminants; A video monitoring unit, used for real-time monitoring of the car wash area and uploading video data to the information management system for the associated mineral material disposal; Vehicle information registration unit, used to record the vehicle's washing time, processing results and related information; The vehicle queuing and dispatching unit is used to intelligently manage and dispatch the washing sequence and entry and exit times of the scrap vehicles.

7. The information management system for associated mineral material disposal according to claim 1, characterized in that: The transfer station management module includes: Solid waste storage unit, used for classified storage of solid waste, equipped with anti-leakage, anti-rain and anti-scattering devices; Temporary solid waste disposal units, including crushing equipment, compression equipment, screening equipment and sorting equipment, for preliminary treatment of solid waste to reduce its volume or optimize subsequent disposal; A monitoring unit for real-time monitoring of environmental parameters in the transfer station area; Monitoring unit, including video monitoring system and data recording equipment, used to record the storage and disposal process of solid waste and abnormal conditions; Information management unit, used to record the type, source, weight, storage time and disposal process of solid waste, and can provide data traceability and sharing functions; The emission control unit is used to treat the waste gas and leachate generated by the transfer station. The emission control unit includes a waste gas treatment device and a leachate collection and treatment system to ensure that pollutant emissions meet environmental protection requirements.

8. An information management system for associated mineral material disposal according to any one of claims 1 to 7, characterized in that: The landfill area management module comprises: The landfill area division unit is used to digitally divide the landfill area and mark the area capacity, anti-seepage system status and coverage requirements; A landfill schedule generating unit, used to generate a dynamic landfill schedule according to the landfill area capacity and the landfill speed, and adjust the landfill order through an optimization algorithm, wherein the landfill schedule generating unit predicts the service life of the landfill area through a machine learning algorithm, and dynamically adjusts the landfill plan to extend the service life of the landfill; Environmental monitoring unit: used to monitor soil quality, groundwater infiltration pollution and harmful gas concentration around the landfill area, and can provide real-time monitoring data; The anti-seepage system management unit includes an anti-seepage membrane monitoring device and a leachate collection and treatment system to prevent pollutant leakage; The site management unit is used to record the source, type, weight and landfill location of each landfill of solid waste; Landfill status monitoring unit, used for real-time monitoring of capacity usage and 3D modeling of landfill areas; The information management unit is used to connect with the government environmental supervision platform, and can upload, share and dynamically monitor landfill area data.

9. An information management system for associated mineral material disposal according to any one of claims 1 to 7, characterized in that: The park monitoring video module has the functions of real-time video monitoring, abnormal behavior recognition, environmental parameter linkage, historical playback, security alarm, video storage backup and authority management. The park monitoring video module has environmental monitoring data and production management system, which can display multiple screens in real time including landfill operation area, transportation area and leachate treatment key area, and provide operation efficiency evaluation and emergency command support through AI intelligent analysis; The occupational health and environmental monitoring module includes an occupational health examination record module and an environmental monitoring module, which can record and link the content of employees' occupational health examinations and workplace environmental parameters in real time, and ensure occupational health and safety and environmental compliance through abnormal warning mechanisms and comprehensive reporting functions. At the same time, it can perform data encryption, authority management and linkage operations with the production system.

10. The information management system for associated mineral material disposal according to claim 8, characterized in that: The landfill schedule generation unit predicts the service life of the landfill area through a machine learning algorithm and dynamically adjusts the landfill plan to extend the service life of the landfill, specifically including the following steps: Step 1: Deploy capacity monitoring sensors, solid waste characteristic sensors, environmental monitoring sensors, leachate monitoring devices and gas monitoring sensors to collect key landfill data in real time, including capacity changes, solid waste types and characteristics, environmental conditions, leachate and gas emissions; Data storage and preprocessing use cloud databases and distributed storage systems to denoise and standardize real-time data and extract key feature variables; Step 2: Based on the historical data and real-time data of the landfill, a time series prediction model, a regression model and a classification model are constructed to predict the service life of the landfill; Through feature engineering, landfill rate, solid waste classification ratio, and environmental conditions were extracted as variables as input, K-fold cross validation was used to evaluate model performance, and grid search and Bayesian optimization were used to adjust parameters; Step 3: Optimize the order of landfill area use based on the prediction results, first fill the areas with high decomposition rates, then fill the areas with low decomposition rates; Dynamically adjust the landfill speed based on climate conditions to control the daily landfill rate; Solid waste is allocated by classification, with organic waste being allocated to areas with high decomposition rates first; Adjust landfill layer design, including layer thickness and cover material, based on the forecast to optimize capacity utilization and decomposition efficiency; Step 4: Build a 3D landfill model to simulate capacity changes and landfill progress; Use dynamic simulation technology to compare the impact of different landfill strategies and generate a feasibility report for the best landfill plan; Step 5: Monitor landfill capacity changes, leachate volume and gas emissions in real time, and transmit data to the central control system; Update machine learning prediction models based on real-time data to dynamically adjust landfill strategies; Collect feedback from operators and correct model prediction deviations; Step 6: Develop a landfill management software platform and interconnect the information management system for the disposal of associated mineral materials, integrating data collection, dynamic prediction, landfill strategy adjustment and simulation functions, and enabling data management and intelligent landfill operations; The dynamic adjustment plan is transmitted to the automation equipment for intelligent control.

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