Intelligent management system and method for hazardous waste storage

Abstract

The invention provides a hazardous waste storage intelligent management system and method, and the system achieves the cooperative work of a multi-level sensor network, an intelligent data processing module, an automatic storage scheduling module, a grading early warning module, a full-life-cycle information tracking system, and a remote monitoring module. And real-time monitoring, risk early warning, automatic scheduling and whole-process tracking of the hazardous waste storage environment are realized. The sensor network collects data in a warehouse in real time, and the intelligent data processing module carries out analysis based on a machine learning algorithm and dynamically adjusts a risk early warning threshold value. The system triggers an early warning signal according to an analysis result, the storage position and the ex-warehouse sequence of the hazardous waste are optimized through an automatic scheduling module, the full-life-cycle information tracking system records operation data of the hazardous waste through RFID and a block chain technology, the non-tampering performance and traceability of the data are ensured, and the safety of the hazardous waste is improved. And the remote monitoring module allows remote operation of the system through the cloud platform. The system improves the safety, intelligence and automation level of hazardous waste warehouse management.

Description

Technical Field

[0001] The present invention relates to the technical field of warehouse management, and in particular to an intelligent management system and method for hazardous waste warehouse storage. Background Art

[0002] The safe storage and management of hazardous waste is an important issue in the field of environmental protection. With the advancement of industrialization, the types and quantities of hazardous waste are increasing, and traditional storage management systems are facing many challenges. Existing systems usually rely on manual operation or simple monitoring equipment, and have problems such as poor real-time performance and incomplete coverage, making it difficult to effectively respond to the complex changes in the storage environment.

[0003] 1. Insufficient traditional environmental monitoring

[0004] Existing hazardous waste storage monitoring mostly uses a single sensor or manual inspection, which cannot achieve all-round, real-time monitoring. Environmental changes cannot be sensed and processed in a timely manner, posing a major safety hazard. In addition, single-point failures of monitoring equipment can lead to monitoring failure, further increasing management difficulty.

[0005] 2. Limitations of fixed threshold warnings

[0006] Traditional systems usually use fixed thresholds for environmental warnings, with common false alarms and missed alarms, and are unable to dynamically adapt to environmental changes. Fixed threshold models have weak predictive capabilities for emergencies, cannot provide accurate risk assessments and timely warnings, and are prone to miss the best time for emergency response.

[0007] 3. Insufficient automated management and scheduling

[0008] The warehousing, outbound and storage management of hazardous waste often rely on manual operations, which are prone to information entry errors, opaque operation procedures and other problems, resulting in low storage efficiency. The lack of intelligent scheduling algorithms, low warehouse space utilization, and the management process of hazardous waste are not efficient and safe enough.

[0009] 4. Imperfect information tracking and security

[0010] The full life cycle management of hazardous waste requires accurate tracking and recording, but the data in the existing system is easy to be tampered with or lost, and the information security is insufficient. It is impossible to guarantee the tracking of the entire process from generation to treatment, and it is difficult to meet the requirements of environmental protection laws and regulations on data transparency and traceability.

[0011] 5. Insufficient emergency response capabilities

[0012] When the hazardous waste storage environment is abnormal, the existing system relies on manual alarms, which are slow to respond and difficult to initiate emergency measures in a timely manner, increasing safety risks. The lack of an automated emergency response mechanism makes it difficult to implement treatment measures in a timely and effective manner, which can easily lead to the expansion of accidents.

[0013] In summary, the existing hazardous waste storage management systems and methods have many shortcomings, especially in terms of real-time monitoring, accurate early warning, automated scheduling and information tracking, which urgently need to be improved.

[0014] In view of this, the inventor specially designed an intelligent management system and method for hazardous waste storage, which resulted in this case. Summary of the invention

[0015] 1. Technical issues to be resolved

[0016] The purpose of this application is to provide an intelligent management system and method for hazardous waste storage, which mainly solves the comprehensive technical problems of real-time environmental monitoring, risk warning, automated scheduling, full-process tracking and information security in hazardous waste storage management.

[0017] (II) Technical solution

[0018] In order to solve the above technical problems, the present invention provides the following technical solutions:

[0019] This application provides a hazardous waste storage intelligent management system, including:

[0020] A multi-level sensor network is deployed in different areas of the warehouse to monitor the temperature, humidity, toxic gas concentration and other parameters of the storage environment in real time;

[0021] An intelligent data processing module, connected to the multi-level sensor network, for receiving monitoring data and analyzing it based on a machine learning algorithm to provide adaptive risk warnings;

[0022] Automated warehouse scheduling module, which optimizes the storage location and outbound order of hazardous waste in the warehouse based on the type, storage requirements and historical data of hazardous waste;

[0023] The graded warning module is used to provide different levels of warning signals and trigger corresponding emergency measures according to the real-time changes in the warehouse environment;

[0024] The full life cycle information tracking system uses RFID tags and blockchain technology to record the entire process data of hazardous waste from storage to delivery, ensuring the security and non-tamperability of the data;

[0025] Remote monitoring and management module, which realizes remote monitoring and management of hazardous waste warehouses based on cloud platform.

[0026] In a further embodiment, the multi-level sensor network includes temperature and humidity sensors and gas detection sensors arranged on the warehouse floor, ceiling and cargo surface.

[0027] In a further solution, the intelligent data processing module performs multivariate analysis through a neural network, can predict environmental change trends, and issue early warning signals.

[0028] In a further solution, the graded warning module automatically triggers mild, moderate and severe warning signals according to changes in environmental parameters, and notifies relevant management personnel through a wireless network.

[0029] In a further solution, the remote monitoring and management module allows multiple users to monitor different warehouses simultaneously through the cloud platform, and has operation control based on role permissions.

[0030] The present application also provides a hazardous waste storage management method, which is applied to a hazardous waste storage intelligent management system, and the method comprises the following steps:

[0031] S10: Registration of hazardous waste storage: When hazardous waste is stored, its type, weight, storage requirements and other information are recorded through RFID or QR code tags and uploaded to the system database;

[0032] S20: Environmental monitoring and data collection: Real-time collection of warehouse environmental data, including temperature, humidity, and toxic gas concentration, through a multi-level sensor network;

[0033] S30: Intelligent data processing and risk assessment: The intelligent data processing module analyzes environmental data and performs adaptive risk assessment and early warning based on machine learning algorithms;

[0034] S40: Graded warning and emergency response: The graded warning module triggers a warning signal according to changes in environmental data and initiates corresponding emergency response measures;

[0035] S50: Warehouse scheduling and outbound management: The automated warehouse scheduling module optimizes the outbound order of hazardous wastes based on the warehouse environment and the priority of hazardous waste treatment;

[0036] S60: Information tracking and storage: The full life cycle information tracking system records the storage and treatment data of hazardous waste in the blockchain to ensure the traceability of the data.

[0037] In a further embodiment, the emergency response measures include automatically starting ventilation equipment, cooling equipment or fire protection systems to respond to different levels of warning signals.

[0038] In a further solution, an intelligent gateway is also included to perform edge computing, which pre-processes the collected data to reduce redundant information and improve response speed.

[0039] In a further solution, the full life cycle information tracking system uses blockchain technology to encrypt and store the hazardous waste's warehousing, storage, outbound and processing data to ensure that the data cannot be tampered with.

[0040] In a further scenario, historical data and real-time monitoring data generated by the system are used to optimize future hazardous waste management decisions, including generating reports on treatment priorities and optimizing storage space utilization.

[0041] (III) Beneficial effects

[0042] Compared with the prior art, the present invention has the following beneficial effects:

[0043] Through multi-level sensor networks, intelligent data processing, automated scheduling, graded warnings, full life cycle information tracking and remote monitoring modules, intelligent and automated hazardous waste storage management has been achieved. The sensor network monitors the storage environment in real time, and the intelligent data processing module performs data analysis and risk prediction based on machine learning to improve the accuracy of early warnings. Automated scheduling optimizes storage space and outbound order, full life cycle information tracking ensures data security and traceability through RFID and blockchain technology, and the remote monitoring module enables convenient cloud-based operation and management.

[0044] The specific implementation modes of the present invention are further described in detail below in conjunction with the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] In the attached picture:

[0046] Figure 1 It is a schematic diagram of a hazardous waste storage intelligent management system of the present invention;

[0047] Figure 2 The present invention is a schematic flow chart of the steps of a hazardous waste storage management method.

[0048] Explanation of the numbers in the figure: 1. Intelligent management system for hazardous waste storage; 2. Multi-level sensor network; 21. Temperature sensor; 22. Humidity sensor; 23. Gas detection sensor; 3. Intelligent data processing module; 31. Machine learning; 32. Neural network algorithm; 4. Automated storage scheduling module; 41. Optimize storage location; 42. Order of outbound delivery; 5. Graded warning module; 51. Mild; 52. Moderate; 53. Severe; 6. Emergency treatment device; 61. Ventilation equipment; 62. Cooling system; 63. Fire protection system; 7. Full life cycle information tracking system; 71. RFID; 72. Blockchain technology. DETAILED DESCRIPTION

[0049] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. The following embodiments are used to illustrate the present invention.

[0050] The present invention provides a hazardous waste storage intelligent management system 1 including a multi-level sensor network 2, an intelligent data processing module 3, an automated storage scheduling module 4, a graded warning module 5, a full life cycle information tracking system 7 and a remote monitoring and management module. The following is a specific implementation of each module.

[0051] Multi-layer sensor network 2

[0052] Temperature sensors 21, humidity sensors 22, and toxic gas detection sensors 23 are installed in different areas of the warehouse, such as the ground, ceiling, and cargo surface. Through wireless network connection, these sensors can regularly collect real-time data of the internal environment of the warehouse. The arrangement of sensors can ensure all-round monitoring of all key environmental parameters in the warehouse, especially in terms of temperature, humidity, or gas leakage, the sensors can provide continuous real-time monitoring. By distributing sensors in different locations (ground, ceiling, and cargo surface), all environmental parameters of the warehouse are fully covered to ensure that there are no blind spots in monitoring. The rationality of sensor layout greatly improves the accuracy and effectiveness of monitoring, and can detect and respond to changes in the warehouse environment in a timely manner to ensure storage safety.

[0053] Intelligent data processing module 3

[0054] The module receives data from the multi-level sensor network 2 and performs real-time analysis based on a neural network algorithm 32 or machine learning 31. The system can adaptively adjust risk assessment parameters by combining historical data with real-time data. For example, when the temperature in the warehouse gradually increases but has not yet exceeded the safety threshold, the system can identify the trend in advance and issue an early warning. Through the intelligent data processing module 3, the system can significantly reduce false alarms and missed alarms and ensure timely response when potential risks occur. The function of the intelligent data processing module 3 uses neural networks to perform multivariate analysis and predict environmental change trends. Through advanced algorithms to analyze environmental data, identify potential risks in advance, and provide early warnings before environmental data is abnormal, enhancing the initiative of the system. Intelligent risk assessment improves the accuracy of early warnings, reduces false alarms and missed alarms, and optimizes the response time of risk management.

[0055] Automated warehouse scheduling module 4

[0056] The system automatically plans the order of outbound delivery 42 and optimizes the storage location 41 based on the types of hazardous waste in the warehouse, storage requirements and the current capacity of the warehouse. This module uses a scheduling mechanism based on an optimization algorithm, which can dynamically adjust the order and location of hazardous waste in the warehouse and automatically schedule according to the priority of hazardous waste treatment. For example, hazardous waste with a near-term treatment time will be given priority for outbound delivery, while hazardous waste that has not been treated for a long time will be automatically reallocated to a storage location to reduce storage space waste.

[0057] Graded warning module 5

[0058] The hierarchical warning function of the system is based on the data provided by the sensor network and the intelligent data processing module 3. When the environmental parameters change, the system triggers the warning signal according to the set threshold level. Mild 51 warnings will notify the management personnel through local alarms. When moderate 52 and severe 53 warnings are issued, the system will automatically start the emergency treatment device 6, such as ventilation equipment 61 or cooling system 62, or trigger the fire protection system 63 in severe 53 situations. Different levels of warning signals are distributed according to different degrees of environmental changes. The hierarchical warning mechanism enables the system to take corresponding countermeasures for different degrees of risks, optimize resource utilization and reduce unnecessary emergency responses. The warning system adopts flexible response plans according to the severity 53, which can effectively reduce over-reaction or under-reaction and ensure efficient use of resources and time.

[0059] Full life cycle information tracking system7

[0060] The entire process of each batch of hazardous waste from storage, storage, and delivery to final disposal is recorded through RFID71 tags and blockchain technology72. The RFID71 tags are scanned during each operation, and the system encrypts and uploads the data to the blockchain to ensure that the data cannot be tampered with. For example, the blockchain in the system can record the time, responsible person, and specific operation content of each hazardous waste entry and delivery, providing a full-process traceable management system.

[0061] Remote monitoring and management module

[0062] The remote monitoring and management module allows administrators to view the warehouse's environmental data, hazardous waste status and historical records in real time through the cloud platform. Administrators can log in to the system through a computer or mobile device to view the real-time data of each warehouse and perform remote operations and adjustments as needed. Remote monitoring and multi-user management functions are introduced, and real-time monitoring of different warehouses is achieved in combination with the cloud platform. Allowing multiple users to manage multiple warehouses at the same time with different permissions facilitates centralized control and distributed operations, and improves management efficiency. Through role-based permission control, the system can ensure operational safety and efficient management, which is particularly suitable for large-scale, multi-location hazardous waste storage management scenarios.

[0063] The core structure of the entire system includes various functional modules. Through the sensor network, the warehouse environment is monitored in real time, combined with intelligent data processing, automatic scheduling, graded warning and remote management modules, a complete intelligent hazardous waste storage management system is built. Ensure that the system can monitor the environmental conditions in real time, and dynamically adjust according to risks, provide early warning and emergency treatment, and improve the safety and efficiency of warehouse management. The modules work together with a high degree of automation, which reduces manual intervention, improves the transparency, traceability and safety of hazardous waste management, and complies with environmental protection regulations.

[0064] The present invention also provides a hazardous waste storage management method based on the system, and the specific steps are as follows:

[0065] S10: Hazardous waste storage registration

[0066] Before hazardous waste enters the warehouse, the operator identifies it through RFID71 or QR code tags, which record the type, weight, treatment requirements and other relevant information of the batch of hazardous waste. This information is uploaded to the system database and archived through the intelligent data processing module 3. The system automatically allocates storage locations based on the treatment requirements of hazardous waste and the actual situation of the warehouse to ensure the orderliness and safety of storage operations.

[0067] S20: Environmental Monitoring and Data Collection

[0068] The multi-level sensor network 2 in the system regularly collects environmental data in the warehouse, including temperature, humidity, and toxic gas concentration, and transmits the data in real time to the intelligent data processing module 3. The system will monitor the warehouse environment in all directions based on the sensor data in different areas to ensure that the environmental conditions meet safety standards.

[0069] S30: Intelligent data processing and risk assessment

[0070] The intelligent data processing module 3 analyzes the collected environmental data and performs adaptive risk assessment based on the machine learning 31 algorithm and historical data model. For example, when the temperature is detected to continue to rise, the system predicts possible abnormal conditions by comparing historical data, issues early warnings, and takes corresponding measures.

[0071] S40: Gradual warning and emergency response

[0072] According to the analysis results, the system sends out corresponding warning signals through the graded warning module 5. When the monitored environmental parameters exceed the safety threshold, the system automatically starts the corresponding emergency treatment measures, including starting the ventilation equipment 61, cooling equipment or triggering the fire protection system 63. Ensure that when the warning signals at different levels are triggered, the system can automatically take effective emergency treatment measures to avoid the deterioration of environmental risks. Automated emergency response greatly improves the safety and reaction speed of the system, can eliminate potential risks in time, and ensure that the warehouse environment is in a safe state.

[0073] S50: Warehouse scheduling and outbound management

[0074] The system uses an intelligent scheduling algorithm to dynamically adjust the order of hazardous waste out of the warehouse based on the storage conditions and historical data of hazardous waste in the warehouse42. The system will prioritize hazardous waste that is about to reach its disposal deadline, reduce storage space waste, and avoid long-term accumulation of hazardous waste. All operation information during the scheduling process will be recorded in the system database, and blockchain technology72 will be used to ensure data security and transparency.

[0075] S60: Information Tracking and Storage

[0076] Every link of hazardous waste, including warehousing, storage, outbound, transportation and treatment, will be encrypted and stored through blockchain technology72 to ensure that the data cannot be tampered with. The system allows environmental protection regulatory authorities to directly access relevant data through blockchain, ensuring transparency and compliance of management.

[0077] The above defines the main method steps of the system, covering the entire process of hazardous waste storage, from hazardous waste storage, real-time monitoring, data processing, risk assessment, early warning response to outbound management. It provides a comprehensive management process, systematizes data collection, analysis, early warning, scheduling and information tracking, and ensures the intelligence and efficiency of storage management. This method comprehensively improves the efficiency and safety of hazardous waste management, especially in terms of data collection and processing, which realizes automation and greatly reduces labor costs.

[0078] Emergency response measures include automatically starting ventilation equipment 61, cooling equipment or fire protection system 63 to respond to different levels of warning signals. This ensures that when warning signals of different levels are triggered, the system can automatically take effective emergency response measures to avoid the deterioration of environmental risks. Automated emergency response greatly improves the safety and reaction speed of the system, can eliminate potential risks in a timely manner, and ensure that the warehouse environment is in a safe state.

[0079] Furthermore, it also includes edge computing by intelligent gateways, which pre-processes the collected data to reduce redundant information and improve response speed. It optimizes data processing and transmission efficiency, and reduces system load by pre-processing the collected data. It uses edge computing for preliminary data processing to improve the response speed of the system, reduce the occupancy of transmission bandwidth, and optimize the efficiency of real-time monitoring. Pre-processing reduces data redundancy, improves the overall response efficiency of the system, and ensures real-time monitoring and rapid response to the warehouse environment.

[0080] Furthermore, the full life cycle information tracking system 7 uses blockchain technology 72 to encrypt and store the hazardous waste warehousing, storage, outbound and processing data to ensure that the data cannot be tampered with. Blockchain technology 72 is used to ensure that all hazardous waste management data cannot be tampered with, ensuring the integrity and transparency of information in supervision. Blockchain technology 72 improves the credibility of data, ensuring the transparency and traceability of the entire hazardous waste management process, and meeting strict environmental protection regulations.

[0081] Furthermore, the historical data and real-time monitoring data generated by the system are used to optimize future hazardous waste management decisions, including generating reports on treatment priorities and optimizing storage space utilization. Optimization reports generated through data analysis help managers better plan warehouse space utilization and hazardous waste treatment priorities. Data-driven management optimization improves decision-making efficiency, reduces resource waste, improves warehouse space utilization, and ensures efficient and safe treatment of hazardous waste.

[0082] In summary, the present invention provides an innovative hazardous waste storage intelligent management system 1 and management method thereof, which integrates multiple technologies such as the Internet of Things, machine learning 31, edge computing and blockchain, and solves the problems of insufficient real-time monitoring, inaccurate risk warning, and insufficient data security in traditional hazardous waste storage management. It can be widely used in the field of hazardous waste management and has significant social and economic benefits.

[0083] The present invention is described above by way of example in conjunction with the accompanying drawings. It is obvious that the specific implementation of the present invention is not limited to the above-mentioned method. As long as various non-substantial improvements are made using the method concept and technical solution of the present invention, or the concept and technical solution of the present invention are directly applied to other occasions without improvement, they are all within the protection scope of the present invention.

Claims

1. A hazardous waste storage intelligent management system, characterized in that: include: A multi-level sensor network is deployed in different areas of the warehouse to monitor the temperature, humidity, toxic gas concentration and other parameters of the storage environment in real time; An intelligent data processing module, connected to the multi-level sensor network, for receiving monitoring data and analyzing it based on a machine learning algorithm to provide adaptive risk warnings; Automated warehouse scheduling module, which optimizes the storage location and outbound order of hazardous waste in the warehouse based on the type, storage requirements and historical data of hazardous waste; The graded warning module is used to provide different levels of warning signals and trigger corresponding emergency measures according to the real-time changes in the warehouse environment; The full life cycle information tracking system uses RFID tags and blockchain technology to record the entire process data of hazardous waste from storage to delivery, ensuring the security and non-tamperability of the data; Remote monitoring and management module, which realizes remote monitoring and management of hazardous waste warehouses based on cloud platform.

2. The intelligent management system for hazardous waste storage according to claim 1 is characterized in that: The multi-level sensor network includes temperature and humidity sensors and gas detection sensors arranged on the warehouse floor, ceiling and cargo surface.

3. A hazardous waste storage intelligent management system according to claim 1 or 2, characterized in that: The intelligent data processing module performs multivariate analysis through neural networks, can predict environmental change trends, and issue early warning signals.

4. A hazardous waste storage intelligent management system according to claim 3, characterized in that: The graded warning module automatically triggers mild, moderate and severe warning signals according to changes in environmental parameters, and notifies relevant management personnel through a wireless network.

5. The intelligent management system for hazardous waste storage according to claim 4 is characterized in that: The remote monitoring and management module allows multiple users to monitor different warehouses simultaneously through the cloud platform, and has role-based permission operation control.

6. A hazardous waste storage management method, applied to the hazardous waste storage intelligent management system according to claim 1, the method comprising the following steps: S10: Registration of hazardous waste storage: When hazardous waste is stored, its type, weight, storage requirements and other information are recorded through RFID or QR code tags and uploaded to the system database; S20: Environmental monitoring and data collection: Real-time collection of warehouse environmental data, including temperature, humidity, and toxic gas concentration, through a multi-level sensor network; S30: Intelligent data processing and risk assessment: The intelligent data processing module analyzes environmental data and performs adaptive risk assessment and early warning based on machine learning algorithms; S40: Graded warning and emergency response: The graded warning module triggers a warning signal according to changes in environmental data and initiates corresponding emergency response measures; S50: Warehouse scheduling and outbound management: The automated warehouse scheduling module optimizes the outbound order of hazardous wastes based on the warehouse environment and the priority of hazardous waste treatment; S60: Information tracking and storage: The full life cycle information tracking system records the storage and treatment data of hazardous waste in the blockchain to ensure the traceability of the data.

7. A hazardous waste storage management method according to claim 6, characterized in that: The emergency response measures include automatically starting ventilation equipment, cooling equipment or fire protection systems to respond to warning signals of different levels.

8. A hazardous waste storage management method according to claim 6 or 7, characterized in that: It also includes intelligent gateways for edge computing, which pre-processes the collected data to reduce redundant information and improve response speed.

9. A hazardous waste storage management method according to claim 8, characterized in that: The full life cycle information tracking system uses blockchain technology to encrypt and store the hazardous waste entry, storage, exit and processing data to ensure that the data cannot be tampered with.

10. A hazardous waste storage management method according to claim 6, characterized in that: Historical and real-time monitoring data generated by the system is used to optimize future hazardous waste management decisions, including generating reports on treatment priorities and optimizing storage space utilization.

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