Intelligent supervision information system for whole process of dangerous chemicals

Abstract

The application discloses a dangerous chemical substance whole-process intelligent supervision information system, relates to the technical field of dangerous chemical substance supervision, and comprises a basic data management module, a whole-process traceability tracking module, a real-time monitoring and early warning module, an intelligent scheduling and disposal module and a data middle platform interaction module. The data middle platform interaction module uniformly receives data uploaded by each module, completes data cleaning, verification and classified storage, and the data cleaning performs three processing procedures of de-duplication, abnormal value elimination and format standardization. A layered encryption architecture based on the sensitive level design of dangerous chemical substance data is adopted, combined with the distributed node storage of the block chain storage unit, so that the encrypted transmission and tamper-proof storage of the supervision data are realized. Meanwhile, a dynamic two-dimensional code is generated through a one thing one code identification system, the authenticity and traceability of the traceability data are further improved, and the problems of the large data security hidden danger and the inaccuracy of traceability of the existing system are solved.

Description

Technical Field

[0001] This invention belongs to the field of hazardous chemical supervision technology, specifically a whole-process intelligent supervision information system for hazardous chemicals. Background Technology

[0002] Hazardous chemicals are flammable, explosive, toxic, harmful, and highly corrosive. Any oversight in any link of their entire life cycle, from procurement and warehousing to transportation, on-site use, and disposal, can lead to safety accidents, resulting in casualties, property damage, and environmental pollution.

[0003] Currently, existing hazardous chemical regulatory systems suffer from fragmented regulatory processes, with data from different stages unable to coordinate and collaborate, resulting in regulatory blind spots and data gaps. The lack of targeted encryption mechanisms during data transmission and storage makes data leaks and tampering a serious risk, compromising the authenticity and security of regulatory data. Furthermore, the traceability system is incomplete, often relying on single identification methods, failing to achieve full-process traceability of hazardous chemicals, and the traceability data is easily tampered with, making it difficult to meet the requirements for accountability. The linkage between monitoring, early warning, and emergency dispatch is insufficient, with inaccurate monitoring parameter collection, unclear early warning level classifications, and lagging emergency response plans, hindering rapid risk response and efficient handling.

[0004] Meanwhile, the existing system has weak data integration capabilities, failing to achieve multi-port data sharing and efficient interaction. Furthermore, unclear permission divisions make unauthorized operations prone to occur, further reducing regulatory efficiency and compliance. In addition, some parameter settings in the existing system are vague, and implementation details are unclear, making it difficult for those skilled in the art to accurately reproduce the data. Moreover, the lack of effective data verification and anomaly handling mechanisms affects the accuracy and reliability of regulatory data, failing to meet the compliance requirements and practical application needs of hazardous chemical regulation. Summary of the Invention

[0005] To overcome the shortcomings of the prior art, the present invention adopts the following technical solution:

[0006] Specifically, a whole-process intelligent supervision information system for hazardous chemicals is proposed, which includes a basic data management module, a whole-process traceability and tracking module, a real-time monitoring and early warning module, an intelligent dispatch and disposal module, and a data platform interaction module. The data platform interaction module uniformly receives data uploaded by each module, completes data cleaning, verification and classification storage, and performs a three-step processing flow of data cleaning: deduplication, outlier removal and format standardization.

[0007] The data platform interaction module connects synchronously with external regulatory and enterprise operation terminals through standardized API interfaces. The full-process traceability module is equipped with a one-item-one-code identification system and a blockchain storage unit. The one-item-one-code identification system generates a unique traceability QR code, and the dynamic QR code follows a fixed period preset by the system timing module.

[0008] Automatic updates ensure that all module operation data is stored and uploaded to the blockchain storage unit in real time, using distributed node storage. The basic data management module has a built-in standardized information database that includes core basic information of hazardous chemicals, serving as the data benchmark for full-process supervision. The full-process traceability module generates a unique traceability QR code, recording the core information of each flow node of hazardous chemicals. The real-time monitoring and early warning module collects environmental parameters and item status parameters at each stage, identifies risks and triggers early warnings. The intelligent scheduling and disposal module receives early warning information, matches disposal plans, and completes risk disposal.

[0009] Furthermore, the basic data management module incorporates a standardized information database, comprising four sub-databases: a hazardous chemical attributes database, a responsible entity database, an operator qualification database, and a warehousing and transportation equipment database. Each sub-database uses a unified data format for information entry. After entry, the system automatically performs data compliance verification. Once verification is successful, the data is synchronized to the data platform interaction module for storage. If verification fails, real-time feedback and modification prompts are provided to prevent unqualified data from entering the entire regulatory process. The hazardous chemical attributes database contains core information such as the physical and chemical properties, risk level, storage requirements, usage specifications, and disposal standards of the corresponding hazardous chemicals. The responsible entity database contains the main qualifications and contact information of production enterprises, operating enterprises, user units, transportation units, and disposal units. The operator qualification database contains the qualification certification and training information of warehouse managers, transport drivers, on-site operators, and emergency responders. The warehousing and transportation equipment database contains the serial numbers, parameters, and maintenance records of storage tanks, transport vehicles, monitoring equipment, and operating machinery.

[0010] Furthermore, the process traceability module is equipped with a one-item-one-code identification system and a blockchain evidence storage unit. A unique traceability QR code is generated for each batch and each individual hazardous chemical. When a hazardous chemical enters any flow node, the node information is bound by scanning the code. The bound information is simultaneously uploaded to the blockchain evidence storage unit for storage. The flow node information includes the operation time, operating entity, quantity of goods, current status, and handover voucher. All evidence data is stored in a distributed manner. The number of nodes is set according to the size of the regulatory scope: no less than 3 nodes for small-scale regulatory systems, no less than 6 for medium-scale systems, and no less than 10 for large-scale systems. It supports two-way backtracking queries between the regulatory end and the enterprise end, with clearly defined permission partitions. Once data is uploaded, it cannot be manually modified; operation traces can only be recorded through system logs. The one-item-one-code identification system generates a unique and non-repeatable dynamic QR code for each individual or batch of hazardous chemicals. The QR code is associated with all basic data and flow data of the corresponding item. The blockchain evidence storage unit is linked with the full-process traceability module and the operation log evidence storage module. Each piece of data has a timestamp and an operating entity identifier.

[0011] Furthermore, the end-to-end traceability module is equipped with multi-scenario data collection terminals, covering warehousing terminals, transportation vehicle terminals, on-site usage terminals, and waste disposal terminals. Each terminal supports barcode scanning, manual data entry, and automatic data collection. Data collected by each terminal is synchronized to the end-to-end traceability module in real time. The terminals and the system use a self-designed wireless encrypted transmission method. Data is cached locally when the terminal is offline and automatically uploaded after connecting to the network. The warehousing terminal completes the data collection for hazardous chemical receiving acceptance, inventory counting, and outbound transfer. The transportation vehicle terminal collects real-time data on the location, driving trajectory, and vehicle environment of the transport vehicle, and simultaneously binds the transport personnel and transport route information. The on-site usage terminal collects data on the quantity of hazardous chemicals issued, dosage, remaining stock, and working environment. The remaining stock is automatically calculated by the system. The waste disposal terminal collects data on the quantity of waste products, disposal methods, disposal results, and acceptance records.

[0012] Furthermore, the real-time monitoring and early warning module is equipped with a multi-dimensional sensing monitoring unit and a hierarchical early warning unit. The multi-dimensional sensing monitoring unit collects core monitoring parameters from each stage in real time. The collection frequency is set according to the importance of the monitoring parameters. The collection frequency for key parameters is 1-5 minutes / time, and the collection frequency for ordinary parameters is 10-30 minutes / time. In the warehousing stage, it monitors the temperature and humidity of the storage area, the concentration of combustible gases, and the concentration of leaks. In the transportation stage, it monitors the environmental parameters of the vehicle compartment, the vehicle speeding, and abnormal behavior parameters such as deviation from the route. In the usage stage, it monitors the ventilation parameters of the work site and abnormal parameters of the hazardous chemical inventory. The monitoring data is uploaded to the hierarchical early warning unit in real time. The system has built-in risk thresholds. According to the different risk levels of hazardous chemicals, corresponding risk thresholds are set. If the corresponding threshold is exceeded, the corresponding level of early warning is automatically triggered. The multi-dimensional sensing monitoring unit is composed of various compliant sensing devices and operates in conjunction with the data acquisition terminals in various scenarios to achieve 24-hour uninterrupted monitoring. The hierarchical early warning unit divides the early warning level according to the severity of the risk. Different levels of early warning correspond to different response speeds. The early warning information includes the risk location, risk type, monitoring parameters, and the core content of the degree of hazard.

[0013] Furthermore, the tiered early warning unit implements a tiered push and linkage response mechanism. Low-risk warnings are pushed to on-site operators and safety officers, along with simplified handling guidelines. Medium-risk warnings are pushed to the enterprise's safety management department and on-site handling team, with corresponding emergency plans retrieved simultaneously. High-risk warnings are pushed to the enterprise's responsible person, internal emergency team, and external industry regulatory department, initiating the emergency linkage process. Warning information is continuously pushed until the risk is eliminated. The entire process of warning triggering, handling, and deactivation is recorded. The tiered push mechanism matches the corresponding handling entity according to the risk level. Emergency plans are automatically matched by the system based on the hazardous chemical properties and risk type, eliminating the need for manual retrieval. The emergency linkage process connects with external regulatory and professional emergency resources. The entire process is recorded and retained for review and rectification.

[0014] Furthermore, the intelligent dispatch and disposal module has a built-in emergency response plan library and resource dispatch unit. After receiving early warning information pushed by the real-time monitoring and early warning module, it automatically matches the corresponding disposal plan. At the same time, through the resource dispatch unit, it sorts out the information of surrounding emergency resources, internal disposal personnel, and professional equipment. Based on the risk location, risk level, and distance to emergency resources, it uses a self-designed dispatch algorithm to generate disposal plans and push them to the corresponding disposal entities. During the disposal process, it receives real-time progress feedback. After the risk is eliminated, it automatically triggers the early warning cancellation process and generates a disposal report, which is then uploaded to the data platform interaction module. The emergency response plan library includes standardized disposal plans for various hazardous chemicals in different risk scenarios. The plans comply with industry safety standards and regulatory requirements. The resource dispatch unit integrates internal emergency resources and externally registered emergency resources to complete resource allocation.

[0015] Furthermore, the data platform interaction module undertakes data integration and analysis, visualization, and cross-platform interaction. It processes the raw data uploaded by each module through three steps: deduplication, outlier removal, and format standardization. After removing invalid data, a standardized regulatory dataset is formed. This dataset is displayed on a large visual screen, showing the entire process of hazardous chemical circulation, monitoring parameters, early warning records, and disposal progress. It supports multi-dimensional filtering and viewing, and provides standardized API interfaces to connect with external industry regulatory platforms and enterprise internal management platforms, enabling on-demand data sharing. Automatic data cleaning is completed according to preset rules, and access control is implemented during the data sharing process, allowing only data content within the corresponding permission scope to be accessed.

[0016] Furthermore, the data platform interaction module is equipped with automatic report generation and risk analysis functions. Based on the stored full-process regulatory data, it automatically generates daily regulatory reports, monthly statistical reports, annual summary reports, and risk-specific analysis reports. The reports support export, printing, and archiving. At the same time, it intelligently identifies high-frequency risks and key hidden dangers, generates rectification suggestions, and pushes them to the enterprise management department for implementation. After rectification, the verification certificate is uploaded to complete the closed loop. The automatic report generation function sets fixed templates according to the requirements of the regulatory department, eliminating the need for manual compilation. The risk-specific analysis report uses data analysis to identify high-risk links, high-risk periods, and high-risk types, which is used for enterprise management process optimization and key supervision by regulatory departments. The hidden danger rectification closed loop realizes full-process control from hidden danger identification, rectification push, rectification implementation, and verification.

[0017] Furthermore, the system is equipped with a hierarchical access control module and an operation log storage module. The hierarchical access control module divides users into four levels of permissions: regulatory end, enterprise management end, on-site operation end, and emergency response end. Different permissions correspond to different operation scopes and data viewing scopes, and unauthorized operations are prohibited. The operation log storage module records all user login, operation, modification, and query behaviors throughout the process. The log data is synchronously uploaded to the blockchain storage unit for retention. The retention period is set according to industry regulatory requirements. After retention, it is used for subsequent accountability and compliance verification. Each of the four levels of permissions has a clear operation scope, and the operation logs cannot be tampered with after being uploaded.

[0018] The technical solutions provided by the embodiments of this disclosure have at least the following beneficial effects:

[0019] A layered encryption architecture based on the sensitivity level of hazardous chemical data is adopted, combined with the distributed node storage of blockchain evidence storage units, to achieve encrypted transmission and tamper-proof storage of regulatory data. At the same time, dynamic QR codes are generated through a one-item-one-code identification system, which further improves the authenticity and traceability of traceability data and solves the problems of large data security risks and inaccurate traceability in the existing system.

[0020] The multi-dimensional sensing and monitoring unit works in conjunction with the hierarchical early warning unit, setting the collection frequency according to the importance of the monitoring parameters and setting the early warning threshold according to the risk level of hazardous chemicals. This enables accurate risk identification and hierarchical early warning. At the same time, the hierarchical push mechanism is integrated with the emergency response process to ensure the targeted and efficient handling of risks, solving the problems of inaccurate monitoring and delayed emergency response in the existing system. Attached Figure Description

[0021] Figure 1 This is a flowchart of the present invention. Detailed Implementation

[0022] The technical solution of the present invention will be clearly and completely described below with reference to the embodiments. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of the present invention.

[0023] Please see Figure 1 This application provides an intelligent information system for the whole process of hazardous chemicals supervision, which includes a basic data management module, a whole process traceability and tracking module, a real-time monitoring and early warning module, an intelligent dispatch and disposal module, and a data platform interaction module. The data platform interaction module uniformly receives data uploaded by each module, completes data cleaning, verification and classification storage, and performs a three-step processing flow of data cleaning: deduplication, outlier removal and format standardization.

[0024] The data platform interaction module connects synchronously with external regulatory and enterprise operation terminals through standardized API interfaces. The full-process traceability module is equipped with a one-item-one-code identification system and a blockchain storage unit. The one-item-one-code identification system generates a unique traceability QR code, and the dynamic QR code follows a fixed period preset by the system timing module.

[0025] (The preset cycle is 1-24 hours, which can be adjusted according to regulatory requirements);

[0026] Automatic updates ensure that all module operation data is stored and uploaded to the blockchain storage unit in real time, using distributed node storage. The basic data management module has a built-in standardized information database that includes core basic information of hazardous chemicals, serving as the data benchmark for full-process supervision. The full-process traceability module generates a unique traceability QR code, recording the core information of each flow node of hazardous chemicals. The real-time monitoring and early warning module collects environmental parameters and item status parameters at each stage, identifies risks and triggers early warnings. The intelligent scheduling and disposal module receives early warning information, matches disposal plans, and completes risk disposal.

[0027] It should be noted that the layered encryption architecture is implemented as follows: based on the sensitivity of hazardous chemical data, it is divided into a core layer, a general layer, and a public layer. The core layer corresponds to core sensitive data such as hazardous chemical leakage concentration and emergency response plans, and adopts a self-designed symmetric encryption algorithm. The encryption process involves first grouping the transmitted data into 128-bit groups, and then performing 16 rounds of encryption operations using an improved round function. Each round of encryption includes four steps: byte substitution, row shifting, column mixing, and round key addition. The round key is generated from the initial key using a self-designed key expansion algorithm. The general layer corresponds to routine data flow and adopts an improved hash encryption algorithm. The public layer corresponds to non-sensitive public information and adopts a lightweight encryption algorithm. The data cleaning process consists of three steps: first, deduplication is performed by comparing the unique identifiers of the data uploaded by each module and deleting duplicate data; second, outlier removal is performed by calculating the normal range of data using the mean method, with the formula being: Normal Range = Mean ± (Standard Deviation × 2). Data exceeding this range is identified as outliers and removed; third, format standardization is performed by converting non-standard data from different modules into a unified format. The implementation method for the dedicated standardized API interface is as follows: The interface adopts a self-designed communication protocol. The communication process involves the client sending a connection request, the server returning a response frame with authentication, and establishing an encrypted communication link after two-way identity verification for data transmission. After transmission, the link is released and the link cache is cleared. The implementation method for dynamic QR code updates is as follows: The update cycle is set through the system timing module, which uses a crystal oscillator with a timing accuracy of ±1 second. The update trigger condition is that after the set cycle is reached, the system automatically generates a new QR code and replaces the old code. The new QR code is associated with all information of the original QR code and includes a timestamp. The implementation method for the blockchain evidence storage unit is as follows: Distributed node storage is used, with each node storing a complete copy of the data. The data upload process involves each module generating a data record, which is then sent to the blockchain node via an encrypted link. The node verifies the data integrity and completes storage, generating a timestamp and an operator identifier after storage. The data retention period is set according to regulatory requirements, risk control covers all circulation stages, and accountability can be traced through operation records. The entire process of hazardous chemicals covers all aspects of the circulation of hazardous chemicals, from procurement and delivery by production enterprises to internal warehousing, dedicated transportation and transfer, standardized use at work sites, and compliant disposal of waste products.

[0028] As an optional implementation, the basic data management module has a built-in standardized information database, which includes four sub-databases: a hazardous chemical attribute database, a responsible entity database, an operator qualification database, and a warehousing and transportation equipment database. Each sub-database uses a unified data format for information entry. After the data is entered, the system automatically performs data compliance verification. If the verification is successful, the data is synchronized to the data platform interaction module for storage. If the verification fails, a modification prompt is provided in real time to prevent unqualified data from entering the entire process supervision link. The hazardous chemical attribute database includes core information such as the physical and chemical properties, risk level, storage requirements, usage specifications, and disposal standards of the corresponding hazardous chemicals. The responsible entity database includes the main qualifications and contact information of production enterprises, operating enterprises, user units, transportation units, and disposal units. The operator qualification database includes the qualification certification and training information of warehouse managers, transport drivers, on-site operators, and emergency responders. The warehousing and transportation equipment database includes the number, parameters, and maintenance record information of storage tanks, transport vehicles, monitoring equipment, and operating machinery.

[0029] It should be noted that the unified data format is a fixed input template set according to the current standards of the hazardous chemicals regulatory industry. The template includes elements such as field names, field types, field lengths, and mandatory field identifiers. Data compliance verification adopts a three-step verification process: field completeness, format conformity, and content authenticity. The specific implementation methods are as follows: field completeness verification checks whether all mandatory fields are filled in; if not, the verification fails. Format conformity verification checks whether the data format of each field conforms to the template requirements; if not, the verification fails. Content authenticity verification compares the data with the standard data in the basic database; if the deviation exceeds the normal range, the verification fails. Abnormal data is determined by calculating the mean using the formula: Normal range = Mean ± (Standard deviation × 2). Data exceeding this range is considered an outlier.

[0030] As an optional embodiment, the full-process traceability and tracking module is equipped with a one-item-one-code identification system and a blockchain evidence storage unit, which generates a dedicated traceability QR code for each batch and each individual piece of hazardous chemical. When a hazardous chemical enters any circulation node, node information binding is completed by scanning the code, and the bound information is synchronously uploaded to the blockchain evidence storage unit for retention. The circulation node information includes operation time, operation subject, quantity of goods, current status, and handover vouchers. All evidence storage data is stored in a distributed manner, and the number of nodes is set according to the size of the supervision scope: the number of nodes for a small-scale supervision system is no less than 3, no less than 6 for a medium-scale one, and no less than 10 for a large-scale one. It supports two-way retrospective query between the supervision end and the enterprise end, with clear permission partitions. Once uploaded, the data cannot be manually modified, and operation traces can only be recorded through system logs. The one-item-one-code identification system generates a unique and non-repeating dynamic QR code identifier for a single piece or a single batch of hazardous chemicals, and the QR code is associated with all basic data and circulation data of the corresponding item. The blockchain evidence storage unit is linked with the full-process traceability and tracking module and the operation log evidence storage module, and each piece of data is attached with a timestamp and an operation subject identifier.

[0031] It should be noted that the specific implementation process of code scanning and binding is as follows: an operator scans the QR code through a data collection terminal, the terminal reads the associated information of the QR code, then enters the current node operation information, and the system completes the binding after verifying the information integrity. The specific implementation manner of distributed storage is as follows: multiple nodes are used for collaborative storage, each node stores a complete data copy, data synchronization between nodes is realized through a self-designed consensus algorithm, and the consensus algorithm allocates verification permissions based on the node credit level, so that nodes with higher credit levels participate in data verification preferentially. The implementation process of two-way retrospective query is as follows: the supervision end sends a query request, and the system returns the corresponding data after verifying the permission; the enterprise end queries the relevant data of the links it is responsible for through the operation port. The timestamp is generated by the system timing module, the operation subject identifier is the unique identity code of the operator, and the identity code is generated by an encryption algorithm and bound to the personal information of the operator.

[0032] As an optional implementation, the full-process traceability module is equipped with multi-scenario data collection terminals, covering warehousing terminals, transportation vehicle terminals, on-site usage terminals, and waste disposal terminals. Each terminal supports barcode scanning, manual data entry, and automatic data collection. Data collected by each terminal is synchronized to the full-process traceability module in real time. The terminals and the system use a self-designed wireless encrypted transmission method. Data is locally cached when the terminal is offline and automatically uploaded after connecting to the network. The warehousing terminal completes the data collection for hazardous chemical warehousing acceptance, inventory counting, and outbound transfer. The transportation vehicle terminal collects real-time data on the location, driving trajectory, and vehicle environment of the transportation vehicle, and simultaneously binds the transportation personnel and transportation route information. The on-site usage terminal collects data on the quantity of hazardous chemicals issued, dosage, remaining stock, and working environment. The remaining stock is automatically calculated by the system. The waste disposal terminal collects data on the quantity of waste products, disposal methods, disposal results, and acceptance records.

[0033] It should be noted that the self-designed wireless encrypted transmission method is implemented as follows: the terminal encrypts the collected data and transmits it to the system receiver via a dedicated wireless frequency band. The receiver decrypts the data, verifies its integrity, and completes data synchronization. The dedicated wireless frequency band avoids public frequency bands and uses frequency hopping technology. The local caching implementation method is as follows: an embedded storage chip is used, with a storage capacity of no less than 8GB for warehouse entry terminals, no less than 16GB for transport vehicle terminals, and no less than 4GB for on-site use terminals and waste disposal terminals. Cache data is stored in chronological order and automatically uploaded after network connection. The upload process involves the terminal detecting a network connection, automatically reading the cached data, and uploading it sequentially in chronological order. After uploading, the local cached data is deleted. The warehouse entry terminal data collection process is as follows: during entry acceptance, the QR code is scanned to bind item information, and the quantity and quality status are entered; during inventory counting, the QR code of the inventory items is scanned to verify the actual quantity against the system record, generating an inventory discrepancy report; during outbound transfer, the QR code of the item is scanned, and the transfer destination and recipient information are entered. The data collection process for the transport vehicle-mounted terminal is as follows: positioning data is collected through a self-adapted positioning module, with positioning accuracy set according to industry standards. The driving trajectory is plotted using continuous positioning data. Vehicle environment data is collected via onboard sensors every 5-15 minutes, adjustable according to monitoring needs. The data collection process for the on-site terminal is as follows: data on requisition and usage is manually entered and confirmed by operators. The remaining inventory is calculated as: Remaining inventory = Quantity requisitioned - Dosage used. Operating environment data is collected by on-site sensors. The data collection process for the waste disposal terminal is as follows: disposal method and results are entered by operators, and acceptance records are entered and signed by acceptance personnel. The wireless encrypted transmission method is adaptable to various network environments, including factory areas, transportation routes, and work sites.

[0034] As an optional embodiment, the real-time monitoring and early warning module is equipped with a multi-dimensional sensing monitoring unit and a hierarchical early warning unit. The multi-dimensional sensing monitoring unit collects core monitoring parameters of each stage in real time. The collection frequency is set according to the importance of the monitoring parameters. The collection frequency for key parameters is 1-5 minutes / time, and the collection frequency for ordinary parameters is 10-30 minutes / time. In the warehousing stage, it monitors the temperature and humidity of the storage area, the concentration of combustible gases, and the concentration of leaks. In the transportation stage, it monitors the environmental parameters of the vehicle compartment, the vehicle speeding, and abnormal behavior parameters such as deviation from the route. In the usage stage, it monitors the ventilation parameters of the work site and abnormal parameters of the hazardous chemical inventory. The monitoring data is uploaded to the hierarchical early warning unit in real time. The system has built-in risk thresholds. According to the different risk levels of hazardous chemicals, corresponding risk thresholds are set. If the corresponding threshold is exceeded, the corresponding level of early warning is automatically triggered. The multi-dimensional sensing monitoring unit is composed of various compliant sensing devices and operates in conjunction with the data acquisition terminals in various scenarios to achieve 24-hour uninterrupted monitoring. The hierarchical early warning unit divides the early warning level according to the severity of the risk. Different levels of early warning correspond to different response speeds. The early warning information includes the risk location, risk type, monitoring parameters, and the core content of the degree of hazard.

[0035] It should be noted that the implementation methods for collecting each parameter are as follows: temperature and humidity are collected using temperature and humidity sensors with an accuracy of ±0.5℃ and ±5%RH; combustible gas concentration is collected using combustible gas sensors, and leakage concentration is collected using leakage detection sensors. The sensor output signals are transmitted to the system after A / D conversion; the collection method for the vehicle compartment environment parameters is the same as that for the storage process; vehicle speeding is collected using vehicle speed sensors, and speeding is determined by comparing the data with a preset speed threshold; deviation from the route is determined by comparing the location data with a preset route, and the comparison algorithm calculates the distance between the current location and the preset route. If the distance exceeds the set distance, it is determined as a deviation; ventilation parameters are collected using ventilation sensors; and abnormal inventory parameters are determined by system calculation, with the calculation formula being: abnormal inventory difference = actual inventory - preset inventory threshold. If the value exceeds the set range, it is determined as an abnormality. The risk threshold setting steps are as follows: first, collect the safety parameter standards for this type of hazardous chemical, adjust them according to the actual usage scenario, and determine the final threshold after verification through multiple sets of tests. The warning level classification is implemented as follows: low risk is when the monitored parameter exceeds the threshold but does not reach 1 times the difference between the threshold and the mean; medium risk is when the monitored parameter exceeds the threshold and reaches 1 to 2 times the difference between the threshold and the mean; high risk is when the monitored parameter exceeds the threshold and exceeds 2 times the difference between the threshold and the mean. The multi-dimensional sensing monitoring unit linkage operation process is as follows: the terminal receives the data collected by the sensors, performs preliminary processing, and then uploads it to the monitoring module.

[0036] As an optional implementation, the tiered early warning unit executes a tiered push and linkage response mechanism. Low-risk warnings are pushed to on-site operators and safety officers, along with simplified handling guidelines. Medium-risk warnings are pushed to the enterprise's safety management department and on-site handling team, with corresponding emergency plans retrieved simultaneously. High-risk warnings are pushed to the enterprise's management, internal emergency team, and external industry regulatory departments, initiating the emergency linkage process. Warning information is continuously pushed until the risk is eliminated. The entire process of warning triggering, handling, and deactivation is recorded. The tiered push mechanism matches the corresponding handling entity according to the risk level. Emergency plans are automatically matched by the system based on the hazardous chemical properties and risk type, eliminating the need for manual retrieval. The emergency linkage process connects with external regulatory and professional emergency resources. The entire process is recorded and retained for review and rectification.

[0037] It should be noted that the tiered push notification implementation method is as follows: Low-risk warnings are pushed simultaneously via terminal messages and SMS, with simplified handling guidelines preset according to risk type, including basic handling steps and precautions; Medium-risk warnings are pushed to the enterprise's safety management department and on-site handling team terminals, and the emergency plan retrieval process involves the system matching the corresponding plan from the emergency handling plan database based on the risk type and hazardous chemical properties, and automatically pushing it to the handling team terminals; High-risk warnings are simultaneously pushed to enterprise leaders, internal emergency teams, and external industry regulatory departments, and the emergency linkage process involves the system automatically dialing emergency contact numbers, sending warning information and on-site data, and simultaneously coordinating internal emergency resources and external professional emergency forces to establish a linkage handling channel. The warning information push interval is set according to the warning level, with a longer push interval for low-risk than for medium- and high-risk. The entire process record includes time, operating entity, handling steps, and handling results. The review process involves retrieving the entire process record, analyzing the causes of the risk and shortcomings in the handling process, generating a review report, and optimizing the emergency plan. The emergency plan includes handling steps, protection requirements, and precautions.

[0038] As an optional embodiment, the intelligent dispatch and disposal module has a built-in emergency response plan library and resource dispatch unit. After receiving the early warning information pushed by the real-time monitoring and early warning module, it automatically matches the corresponding disposal plan. At the same time, the resource dispatch unit sorts out the information of surrounding emergency resources, internal disposal personnel, and professional equipment. Based on the risk location, risk level, and distance to emergency resources, it generates a disposal plan using a self-designed dispatch algorithm and pushes it to the corresponding disposal entity. During the disposal process, it receives real-time feedback on the disposal progress. After the risk is eliminated, it automatically triggers the early warning cancellation process and generates a disposal report, which is then uploaded to the data platform interaction module. The emergency response plan library includes standardized disposal plans for various hazardous chemicals in different risk scenarios. The plans comply with industry safety standards and regulatory requirements. The resource dispatch unit integrates internal emergency resources and externally registered emergency resources to complete resource allocation.

[0039] It should be noted that the emergency response plan matching process is as follows: the system extracts key information such as risk type, hazardous chemical attributes, and risk location from the early warning information, compares it with the plan tags in the emergency response plan database, and uses the plan with the highest similarity as the matching result. The resource sorting process is as follows: the resource scheduling unit connects to the emergency resource database, extracts resource information closest to the risk location, and categorizes and organizes them by resource type. The self-designed scheduling algorithm execution steps are as follows: first, the objective function is set to minimize disposal time and resource consumption; second, the nearest available resources are selected; third, resource disposal tasks are allocated; and fourth, the feasibility of the plan is verified, and the final plan is determined after adjustments and optimizations. Disposal progress feedback is achieved by disposal personnel uploading disposal steps and progress via terminals, and the system updates the disposal status in real time. The early warning cancellation process is as follows: after the system detects that the monitoring parameters have returned to the normal range, it automatically sends an early warning cancellation command and simultaneously notifies all relevant parties. The disposal report includes risk details, disposal process, disposal results, and rectification suggestions, serving as a basis for subsequent supervision and optimization. The resource allocation process is as follows: the system sends a resource allocation command, and after confirmation by the resource management party, resources are arranged to be dispatched to the site for disposal.

[0040] As an optional implementation, the data platform interaction module undertakes data integration and analysis, visualization, and cross-platform interaction. It processes the raw data uploaded by each module through three steps: deduplication, outlier removal, and format standardization. After removing invalid data, a standardized regulatory dataset is formed. The core information of the entire process of hazardous chemical circulation, monitoring parameters, early warning records, and disposal progress is displayed on a large visual screen. It supports multi-dimensional filtering and viewing, and opens a standardized API interface to connect with external industry regulatory platforms and enterprise internal management platforms to achieve on-demand data sharing. The automatic data cleaning process is completed according to preset rules, and the data sharing process is subject to permission control, only opening data content within the corresponding permission scope.

[0041] It should be noted that the three-step data cleaning process is as follows: The deduplication step involves extracting the unique identifier of each data point, comparing data uploaded from different modules, and deleting duplicate data corresponding to duplicate unique identifiers. The outlier removal step calculates the normal range of data using the mean method, with the formula: Normal Range = Mean ± (Standard Deviation × 2). Data exceeding this range is identified as outliers and removed. The format standardization step converts non-standard data from different modules into a unified format, with format standards set according to system preset rules. The visualization implementation uses a combination of charts and graphs. Chart types are set according to data type: numerical data uses line charts or bar charts, and status data uses status indicator lights. Filtering is done by setting filtering conditions based on dimensions such as time, process, and hazardous chemical type, and the corresponding data is displayed after filtering. The standardized API interface implementation uses a self-designed communication protocol. The interface communication process involves the client sending a connection request, the server returning a response frame with authentication, establishing an encrypted communication link after two-way authentication, transmitting data, releasing the link and clearing the link cache after transmission. The access control implementation method is as follows: a role-based access control mechanism is adopted, with different roles corresponding to different data viewing and operation permissions. The access control process is as follows: the system administrator assigns corresponding data permissions according to the user's role and binds the user's identity identifier. After logging in, the user can only access data within the scope of access permissions.

[0042] As an optional implementation, the data platform interaction module is equipped with automatic report generation and risk analysis functions. Based on the stored full-process regulatory data, it automatically generates daily regulatory reports, monthly statistical reports, annual summary reports, and risk-specific analysis reports. The reports support export, printing, and archiving. At the same time, it intelligently identifies high-frequency risks and key hidden dangers, generates hidden danger rectification suggestions, and pushes them to the enterprise management department for implementation. After rectification, the verification certificate is uploaded to complete the closed loop. The automatic report generation function sets fixed templates according to the requirements of the regulatory department, eliminating the need for manual compilation. The risk-specific analysis report uses data analysis to identify high-risk links, high-risk periods, and high-risk types, which is used for enterprise management process optimization and key supervision by regulatory departments. The hidden danger rectification closed loop realizes full-process control from hidden danger identification, rectification push, rectification implementation, and verification.

[0043] It should be noted that the report generation process is as follows: the system extracts regulatory data for the corresponding time period according to a preset cycle, organizes the data according to the report template, calculates relevant statistical indicators, and generates standardized reports. Daily regulatory reports are generated daily, monthly statistical reports are generated monthly, and annual summary reports are generated annually. The export, printing, and archiving operations are implemented as follows: the export format is a common document format; printing supports custom print ranges; archiving uses dual backups of local and cloud storage, with the backup cycle consistent with the report generation cycle. The intelligent identification process for high-frequency risks and key hidden dangers is as follows: the system statistically analyzes the number and frequency of risks occurring in each stage, calculates the probability of risk occurrence, and classifies risks with a probability higher than the preset risk probability value (preset value is 5%) as high-frequency risks; by comparing with safety standards, hidden dangers exceeding the standards are identified and classified as key hidden dangers. The method for formulating hidden danger rectification suggestions is as follows: suggestions are formulated based on the type and severity of the hidden danger, including rectification measures, rectification deadlines, and responsible parties, and are pushed simultaneously via terminal messages and emails. The verification process is as follows: the enterprise management department uploads rectification completion certificates; the system verifies the completeness and authenticity of the certificates; after verification, the hidden danger is marked as rectified, completing the closed loop. The steps for analyzing a risk-specific report are as follows: extract risk data, classify and statistically analyze it by stage, time period, and type, calculate the frequency and impact of various risks, and generate analysis conclusions.

[0044] As an optional implementation, the system is equipped with a hierarchical permission management module and an operation log storage module. The hierarchical permission management module divides permissions into four levels based on the user: regulatory end, enterprise management end, on-site operation end, and emergency response end. Different permissions correspond to different operation scopes and data viewing scopes, and unauthorized operations are prohibited. The operation log storage module records all user login, operation, modification, and query behaviors throughout the process. The log data is synchronously uploaded to the blockchain storage unit for retention. The retention period is set according to industry regulatory requirements. After retention, it is used for subsequent accountability and compliance verification. Each of the four levels of permissions has a clear operation scope, and the operation log cannot be tampered with after it is uploaded.

[0045] It should be noted that the specific operational scope of the four levels of permissions is as follows: the regulatory end has global viewing and supervision permissions, can view the entire process of regulatory data, and issue supervision instructions; the enterprise management end has internal control and data reporting permissions, can manage internal personnel and equipment, and report regulatory data; the on-site operation end can only perform data collection and QR code binding operations, and cannot view global traceability data; the emergency response end has early warning receiving and response operation permissions, can receive early warning information, and upload response progress. The method for determining unauthorized operations is as follows: when a user attempts to perform an operation beyond their own permissions, the system automatically intercepts and records it, and simultaneously provides an unauthorized operation warning. The operation log records include the operator, operation time, operation content, and operation terminal information. The retention period setting steps are as follows: referring to the relevant requirements for hazardous chemical supervision and combining the system usage scenario, determine the retention period, set a fixed retention time through the system, and automatically archive and save it after the expiration. The responsibility tracing process is as follows: retrieve the operation log, and determine the relevant responsible parties based on the operator, operation time, and operation content in the log; the compliance verification process is as follows: the regulatory department retrieves the log data and checks whether the operation behavior complies with compliance requirements. The method for determining the immutability of operation logs is as follows: the system periodically verifies the integrity and consistency of log data, and if data is found to have been modified, an early warning is immediately triggered and the tampering traces are recorded.

[0046] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

Claims

1. A smart information system for the entire process of hazardous chemicals supervision, characterized in that: It includes a basic data management module, a full-process traceability module, a real-time monitoring and early warning module, an intelligent scheduling and disposal module, and a data platform interaction module. The data platform interaction module uniformly receives data uploaded by each module, completes data cleaning, verification and classification storage, and performs a three-step processing flow of data cleaning: deduplication, outlier removal and format standardization. The data platform interaction module connects synchronously with external regulatory and enterprise operation terminals through standardized API interfaces. The full-process traceability module is equipped with a one-item-one-code identification system and a blockchain storage unit. The one-item-one-code identification system generates a unique traceability QR code, and the dynamic QR code follows a fixed period preset by the system timing module. Automatic updates ensure that all module operation data is stored and uploaded to the blockchain storage unit in real time, using distributed node storage. The basic data management module has a built-in standardized information database that includes core basic information of hazardous chemicals, serving as the data benchmark for full-process supervision. The full-process traceability module generates a unique traceability QR code, recording the core information of each flow node of hazardous chemicals. The real-time monitoring and early warning module collects environmental parameters and item status parameters at each stage, identifies risks and triggers early warnings. The intelligent scheduling and disposal module receives early warning information, matches disposal plans, and completes risk disposal.

2. The intelligent monitoring information system for the entire process of hazardous chemicals according to claim 1, characterized in that, The basic data management module has a built-in standardized information database, which includes four sub-databases: a hazardous chemical properties database, a responsible entity database, an operator qualification database, and a warehousing and transportation equipment database. Each sub-database uses a unified data format for information entry. After the data is entered, the system automatically performs data compliance verification. If the verification is successful, the data is synchronized to the data platform interaction module for storage. If the verification fails, a modification prompt is provided in real time to prevent unqualified data from entering the entire process supervision link. The hazardous chemical properties database contains core information such as the physical and chemical properties, risk level, storage requirements, usage specifications, and disposal standards of the corresponding hazardous chemicals. The responsible entity database contains the main qualifications and contact information of production enterprises, operating enterprises, user units, transportation units, and disposal units. The operator qualification database contains the qualification certification and training information of warehouse managers, transport drivers, site operators, and emergency responders. The warehousing and transportation equipment database contains the number, parameters, and maintenance record information of storage tanks, transport vehicles, monitoring equipment, and operating machinery.

3. The intelligent information system for the whole process of hazardous chemicals supervision according to claim 1, characterized in that, The end-to-end traceability module is equipped with a one-item-one-code identification system and a blockchain evidence storage unit. It generates a unique traceability QR code for each batch and each individual hazardous chemical. When a hazardous chemical enters any flow node, the node information is bound by scanning the code. This bound information is simultaneously uploaded to the blockchain evidence storage unit for storage. Flow node information includes operation time, operating entity, quantity of goods, current status, and handover voucher. All evidence data is stored in a distributed manner. The number of nodes is set according to the size of the regulatory scope: no less than 3 nodes for small-scale regulatory systems, no less than 6 for medium-scale systems, and no less than 10 for large-scale systems. It supports two-way backtracking queries between the regulatory end and the enterprise end, with clearly defined permission partitions. Once uploaded, data cannot be manually modified; operation traces can only be recorded through system logs. The one-item-one-code identification system generates a unique, non-repeatable dynamic QR code for each individual or batch of hazardous chemicals. The QR code is associated with all basic data and flow data of the corresponding item. The blockchain evidence storage unit is linked with the end-to-end traceability module and the operation log evidence storage module. Each data entry carries a timestamp and an operating entity identifier.

4. The intelligent information system for the whole process of hazardous chemicals supervision according to claim 3, characterized in that, The end-to-end traceability module is equipped with multi-scenario data collection terminals, covering warehousing terminals, transportation vehicle terminals, on-site usage terminals, and waste disposal terminals. Each terminal supports barcode scanning, manual data entry, and automatic data collection. Data collected by each terminal is synchronized to the end-to-end traceability module in real time. The terminals and the system use a self-designed wireless encrypted transmission method. Data is cached locally when the terminal is offline and automatically uploaded after connecting to the network. The warehousing terminal completes the data collection for hazardous chemical receiving acceptance, inventory counting, and outbound transfer. The transportation vehicle terminal collects real-time data on transportation vehicle location, driving trajectory, and vehicle environment, and simultaneously binds transportation personnel and transportation route information. The on-site usage terminal collects data on the quantity of hazardous chemicals issued, dosage, remaining stock, and working environment. The remaining stock is automatically calculated by the system. The waste disposal terminal collects data on the quantity of waste products, disposal method, disposal result, and acceptance record.

5. The intelligent information system for the whole process of hazardous chemicals supervision according to claim 1, characterized in that, The real-time monitoring and early warning module is equipped with a multi-dimensional sensing monitoring unit and a hierarchical early warning unit. The multi-dimensional sensing monitoring unit collects core monitoring parameters from each stage in real time. The collection frequency is set according to the importance of the monitoring parameters. The collection frequency for key parameters is 1-5 minutes / time, and the collection frequency for ordinary parameters is 10-30 minutes / time. In the warehousing stage, it monitors the temperature and humidity of the storage area, the concentration of combustible gases, and the concentration of leaks. In the transportation stage, it monitors the environmental parameters of the vehicle compartment, the vehicle speeding, and abnormal behavior parameters such as deviation from the route. In the usage stage, it monitors the ventilation parameters of the work site and abnormal parameters of the hazardous chemical inventory. The monitoring data is uploaded to the hierarchical early warning unit in real time. The system has built-in risk thresholds. According to the different risk levels of hazardous chemicals, corresponding risk thresholds are set. If the corresponding threshold is exceeded, the corresponding level of early warning is automatically triggered. The multi-dimensional sensing monitoring unit is composed of various compliant sensing devices and operates in conjunction with data acquisition terminals in various scenarios to achieve 24-hour uninterrupted monitoring. The hierarchical early warning unit divides the early warning level according to the severity of the risk. Different levels of early warning correspond to different response speeds. The early warning information includes the risk location, risk type, monitoring parameters, and the degree of hazard.

6. The intelligent monitoring information system for the entire process of hazardous chemicals according to claim 5, characterized in that, The tiered early warning unit implements a tiered push and linkage response mechanism. Low-risk warnings are pushed to on-site operators and safety officers, along with simplified handling guidelines. Medium-risk warnings are pushed to the enterprise's safety management department and on-site handling team, with corresponding emergency plans retrieved simultaneously. High-risk warnings are pushed to the enterprise's management, internal emergency team, and external industry regulatory departments, initiating the emergency linkage process. Warning information is continuously pushed until the risk is eliminated. The entire process of warning triggering, handling, and deactivation is recorded. The tiered push mechanism matches the corresponding handling entity according to the risk level. Emergency plans are automatically matched by the system based on the hazardous chemical properties and risk type, eliminating the need for manual retrieval. The emergency linkage process connects with external regulators and professional emergency resources. The entire process is recorded and retained for review and rectification.

7. The intelligent monitoring information system for the entire process of hazardous chemicals according to claim 1, characterized in that, The intelligent dispatch and disposal module has a built-in emergency response plan library and resource dispatch unit. After receiving early warning information pushed by the real-time monitoring and early warning module, it automatically matches the corresponding disposal plan. At the same time, the resource dispatch unit sorts out the information of surrounding emergency resources, internal disposal personnel, and professional equipment. Based on the risk location, risk level, and distance to emergency resources, it generates disposal plans using a self-designed dispatch algorithm and pushes them to the corresponding disposal entities. During the disposal process, it receives real-time progress feedback. After the risk is eliminated, it automatically triggers the early warning cancellation process and generates a disposal report, which is uploaded to the data platform interaction module. The emergency response plan library includes standardized disposal plans for various hazardous chemicals in different risk scenarios. The plans comply with industry safety standards and regulatory requirements. The resource dispatch unit integrates internal emergency resources and externally registered emergency resources to complete resource allocation.

8. The intelligent information system for the whole process of hazardous chemicals supervision according to claim 1, characterized in that, The data platform interaction module is responsible for data integration and analysis, visualization, and cross-platform interaction. It processes the raw data uploaded by each module through three steps: deduplication, outlier removal, and format standardization. After removing invalid data, a standardized regulatory dataset is formed. The entire process of hazardous chemical circulation, monitoring parameters, early warning records, and disposal progress information is displayed on a large visual screen, supporting multi-dimensional filtering and viewing. It also provides a standardized API interface to connect with external industry regulatory platforms and enterprise internal management platforms, enabling data sharing on demand. The automatic data cleaning process is completed according to preset rules, and the data sharing process is subject to access control, allowing only data content within the corresponding permission scope to be accessed.

9. The intelligent monitoring information system for the entire process of hazardous chemicals according to claim 8, characterized in that, The data platform interaction module is equipped with automatic report generation and risk analysis functions. Based on the stored full-process regulatory data, it automatically generates daily regulatory reports, monthly statistical reports, annual summary reports, and risk-specific analysis reports. The reports support export, printing, and archiving. At the same time, it intelligently identifies high-frequency risks and key hidden dangers, generates hidden danger rectification suggestions, and pushes them to the enterprise management department for implementation. After rectification, the verification certificate is uploaded to complete the closed loop. The automatic report generation function sets fixed templates according to the requirements of the regulatory department, eliminating the need for manual compilation. The risk-specific analysis report uses data analysis to identify high-risk links, high-risk periods, and high-risk types, which is used for enterprise management process optimization and key supervision by regulatory departments. The hidden danger rectification closed loop realizes full-process control from hidden danger identification, rectification push, rectification implementation, and verification.

10. The intelligent information system for the whole process of hazardous chemicals supervision according to claim 1, characterized in that, The system is equipped with a hierarchical access control module and an operation log storage module. The hierarchical access control module divides users into four levels of permissions: regulatory end, enterprise management end, on-site operation end, and emergency response end. Different permissions correspond to different operation scopes and data viewing scopes, and unauthorized operations are prohibited. The operation log storage module records all user login, operation, modification, and query behaviors throughout the process. The log data is synchronously uploaded to the blockchain storage unit for retention. The retention period is set according to industry regulatory requirements. After retention, it is used for subsequent accountability and compliance verification. Each of the four levels of permissions has a clearly defined operation scope, and the operation logs cannot be tampered with after being uploaded.

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