A system and method for supporting whole-chain multi-level ecological protection intelligent supervision

Abstract

The application discloses a kind of systems and methods for supporting whole-chain multi-level ecological protection intelligent supervision, it is related to mobile communication, embedded system and information security technical field, system is upgraded to an intelligent agent that can dynamically program, deeply understand business semantics and can be independently collaborative by introducing business process logic construction and execution capability, mobile terminal as field supervision end, multi-level supervision platform as cloud defines business blueprint, terminal resolves and drives blueprint accurate execution in the field, each software function module becomes the building block called by process.The method is based on the above system, deeply fuses whole-chain closed-loop process and multi-level collaborative mechanism, combines AI intelligent algorithm, multi-source data fusion, national standard protocol adaptation and other core technologies, realizes the whole-process closed-loop, level collaborative and intelligent of ecological protection supervision.

Description

Technical Field

[0001] This invention relates to the fields of mobile communication, embedded systems and information security technology, and more specifically to a system and method that supports intelligent supervision of the entire chain and multi-level ecological protection. Background Technology

[0002] To implement the strategy of ecological civilization construction and establish a national-local collaborative monitoring mechanism, the "Ecological Protection Red Line Supervision Platform" has been built and is operational. Several provinces have built provincial-level platforms, and some cities with the necessary conditions have built municipal-level platforms. However, the existing technological system faces the following unresolved core technological bottlenecks in supporting the aforementioned full-chain, multi-level collaborative operations, hindering breakthroughs in regulatory effectiveness:

[0003] 1) Disrupted "Collaboration Chain" and Obstructed Business Flow: There is a lack of real-time, orderly, and traceable business collaboration mechanisms between the superior platform and local mobile terminals. Existing mobile applications often function as information silos, unable to ensure the reliable issuance of task instructions and the accurate feedback of execution status in complex administrative levels and network environments. When the network is interrupted, business operations cease, resulting in "superiors not being able to see the scene, and the scene not receiving instructions," falling far short of the collaboration efficiency required by policy documents.

[0004] 2) The "chain of evidence" is fragile and lacks sufficient validity: Evidence collected by mobile terminals (photos, videos, locations) is easily questioned for its authenticity and the accuracy of its time and location. The traditional "store first, upload later" model cannot solidify evidence the moment it is generated, and there is a risk of tampering.

[0005] 3) Shortage of the "capability chain" and insufficient on-site empowerment: Existing terminals are mostly "general tablets + customized apps," with functions limited to taking photos and filling out forms, lacking specialized capabilities for deep integration with ecological supervision. For example, they cannot quickly locate ecological protection red line boundaries in offline environments, cannot compare historical images to identify changes, and cannot make intelligent preliminary judgments on on-site features. This leads to a high dependence on the professional competence of supervisory personnel, resulting in uneven supervision quality and failing to meet the requirements of modernizing supervisory capabilities.

[0006] 4) Limited Functional Chain and Weak Technical Support: Current mobile terminal technologies for ecological supervision are mostly focused on single-function implementation, such as offline map loading, integration of BeiDou positioning modules, and support for data form filling. These functions are fragmented and fail to address the three interconnected and complex technical challenges at the system level: robustness of multi-level business collaboration, real-time judicial credibility of field evidence data, and deep intelligent assistance for on-site supervision.

[0007] Therefore, there is an urgent need for an innovative terminal-side systemic solution to build an efficient and reliable technical system that supports a collaborative business loop of "seeing from the sky and checking on the ground". Summary of the Invention

[0008] In view of the above problems, this invention is proposed to provide a system and method for supporting intelligent supervision of ecological protection across the entire chain and at multiple levels, which overcomes or at least partially solves the above problems. It is specifically designed for the supervision of ecological protection red lines, nature reserves, and other similar businesses, and can achieve reliable synchronization of business instructions, intelligent collection of on-site data, and credible evidence in a multi-level collaborative supervision system.

[0009] To achieve the above objectives, the present invention adopts the following technical solution: In a first aspect, embodiments of the present invention provide a system supporting intelligent ecological protection supervision across the entire chain and multiple levels, including a field monitoring terminal, a transmission layer, a terminal management platform, a data center, a multi-level supervision platform, and a cross-departmental business system. The field monitoring terminal communicates with the terminal management platform, the cross-departmental business system, the data center, and the multi-level supervision platform through the transmission layer, respectively, to construct a hierarchical collaborative supervision network; wherein... The field monitoring system includes mobile terminal devices and on-site sensing devices. The mobile terminal is used to collect multimodal evidence on-site and receive task messages issued by the multi-level monitoring platform. Based on the task messages, it performs real-time AI analysis, credible evidence consolidation, and task completion event reporting on the multimodal evidence on-site. The on-site sensing devices are used to assist in the collection of ecological and environmental data. The terminal management platform is used for unified identity management, software version control, precise task distribution, and real-time monitoring of the running status of mobile terminal devices; The multi-level supervision platform includes supervision platforms corresponding to multi-level units divided according to regional levels. It is used to initiate ecological protection case generation task messages and / or cross-departmental joint law enforcement tasks according to regional levels, and to review, consult, supervise and close corresponding ecological protection cases based on task completion events. The cross-departmental business system receives and responds to cross-departmental joint law enforcement tasks, and provides the data center with thematic data from each department through the data exchange gateway and collaborative processing interface; The data center is used to receive multimodal evidence and ecological environment data from the field supervision terminal, ecological protection case-related data from the multi-level supervision platform, and special data from the cross-departmental business system, forming multi-source heterogeneous data, and performing standardized storage, lineage tracing, and cross-system sharing.

[0010] Preferably, lineage tracing involves analyzing data that shows a connection, while cross-system sharing involves sharing data from the data center with various systems across different business systems as needed, or collecting data from one system and sharing it with another.

[0011] Preferably, the mobile terminal device is divided into a hardware layer, a software layer, and an application layer. The hardware layer includes a core control module, a multi-source data acquisition module, a positioning and navigation module, a communication transmission module, a display and interaction module, a power management module, and a storage module. The software layer runs on top of the hardware layer and includes a business process execution engine, an incremental synchronization engine, a data fusion processing module, an intelligent navigation analysis module, a data encryption module, a trusted evidence chain construction module, and a protocol adaptation module. The application layer includes a monitoring and data collection application, an intelligent analysis application, a hierarchical reporting application, a handling and feedback application, a trajectory management application, and an offline operation application.

[0012] Preferably, the field sensing equipment includes a drone, a camera, a sensor, and a positioning device.

[0013] Preferably, the business process execution engine is used to parse the node definition in the task message, render the operation form, load preloaded data, drive on-site personnel to perform operations according to the node requirements, and generate a task completion event containing output data, evidence chain information and trusted signature after the task is completed.

[0014] Preferably, the transmission layer includes an adaptive switching module, a satellite communication module, a cellular network communication module, an ad hoc network communication module, and a BeiDou short message module. The adaptive switching module automatically switches between the cellular network communication module, the satellite communication module, the ad hoc network communication module, and the BeiDou short message module based on the signal strength and availability of the current network environment. The switching process is transparent to the upper-layer application. It provides redundant communication links between the field monitoring terminal and other systems in different network environments, ensuring the reliability and real-time performance of data transmission.

[0015] Preferably, the terminal management platform includes a device registration and authentication module, a task distribution and scheduling module, an application configuration and management module, and a status monitoring and alarm module.

[0016] Preferably, the data center includes a data aggregation interface, a data cleaning and transformation module, a distributed storage cluster, a data governance engine, and a data sharing service bus.

[0017] Preferably, the multi-level supervision platform includes a first-level supervision platform, a second-level supervision platform, a third-level supervision platform, a fourth-level supervision platform, and a fifth-level supervision platform; the supervision platforms at each level achieve data synchronization and process collaboration through cascading interfaces, and each level of supervision platform includes functional modules such as task management, case handling tracking, case closure approval, consultation and decision-making, data report statistics, and access control.

[0018] Preferably, cross-departmental business systems include business systems of natural resources departments, water resources departments, agriculture and rural affairs departments, and forestry and grassland departments.

[0019] Preferably, a hierarchical collaborative regulatory network is formed through interconnection and communication via an MQTT protocol bus. The MQTT protocol bus includes task flow, data flow, evidence flow, and status flow. The hierarchical collaborative regulatory network includes a data service interface and an authentication and security channel. Among them, the data service interface includes map tile service, vector data service, and blockchain evidence storage interface. The map tile service follows the OSM or TMS standard and is dynamically called by the packaged service. The vector data service provides ecological red line and protected area data in GeoJSON or vector tile format. The blockchain evidence storage interface provides a standard RESTful API, receives evidence storage requests, and returns transaction receipts. The authentication and security channel uses a two-way authentication method based on digital certificates to access the system message bus to realize communication between the smart mobile terminal and the upper-level regulatory cloud platform. All downlink commands and uplink data are encrypted with a one-time key session key, and the session key is securely distributed using the SM2 public key encryption algorithm.

[0020] The preferred first-level regulatory platform coordinates regulatory work, collects aggregated data and issues reported by lower-level regulatory platforms, issues regulatory instructions and standards, and conducts ecological environment status analysis and regulatory effectiveness assessment. The regulatory platform hierarchy is as follows: first-level, second-level, third-level, fourth-level, and fifth-level regulatory platforms. The higher-ranked regulatory platform serves as the superior platform to the lower-ranked platform, and the lower-ranked platform serves as the subordinate platform.

[0021] Preferably, the lower-level regulatory platform acts as a regional hub, receiving data and issues reported by the regulatory platforms of its corresponding lower-level units, summarizing and analyzing the ecological protection status, issuing regulatory instructions, coordinating cross-regional collaborative handling within the region of lower-level units, and reporting relevant data and major issues to the higher-level unit platform; it includes a local task scheduling engine, map tiling and data packaging services, subordinate message brokers, and video / data aggregation services with the front end.

[0022] Preferably, regulatory platforms at all levels achieve data synchronization and process collaboration through cascading interfaces. Each level of regulatory platform includes functional modules such as task management, case handling tracking, case closure approval, consultation and decision-making, data report statistics, and access control. It supports cross-departmental data sharing and can connect to the business systems of departments such as natural resources, forestry and grassland, and water resources to achieve collaborative law enforcement.

[0023] Preferably, the mobile terminal device is a smart mobile terminal, which serves as the carrier for data collection and on-site handling. It is deployed in the hands of regulatory personnel at all levels of regulatory platforms to realize multi-source data collection, real-time analysis, intelligent early warning, hierarchical reporting and handling feedback. It has on-site decision support functions based on the collected data, can flexibly adapt to and deeply integrate into the multi-level ecological regulatory business system, and achieve seamless collaboration from macro decision-making to micro execution. It is the core of the connection between the system and the front-line regulatory scenario, and a business intelligent node that connects multi-level collaboration and scheduling. It supports multiple terminals online at the same time and adapts to different levels of regulatory needs.

[0024] Preferably, the intelligent mobile terminal, through the software configuration of the terminal management platform and the cloud-based strategy drive of the multi-level supervision platform, carries different business process instances and dynamically plays a differentiated and intelligent role in the business of different levels of units; the intelligent mobile terminal belongs to the first-level node, second-level node or third-level node; The primary node serves as a supervision and decision support node, supporting the ecological protection supervision and enforcement personnel of the primary regulatory platform. It facilitates on-site supervision, review, and acceptance of major ecological and cross-regional issues, and provides frontline data support for high-level decision-making. The primary node is equipped with a panoramic data view, advanced analysis tools, and a cross-level command channel. The panoramic data view integrates multi-dimensional data such as high-resolution remote sensing images from multiple periods, regional planning maps, and various approval information, supporting in-depth spatiotemporal analysis and comparison on-site. The advanced analysis tools are equipped with more complex edge AI models to assist supervisors in conducting professional-level analysis. The cross-level command channel can directly receive direct instructions from higher-level platforms through dedicated topics, and simultaneously synchronize on-site verification conclusions and rich media evidence to other relevant platforms with a single click, driving multi-level coordinated rectification. The secondary node serves as a coordination and scheduling node and a process monitoring node. It is used to serve the management and technical personnel of the secondary monitoring platform, for task distribution, process tracking, regional overall coordination, on-site information collection, and review of the verification results of the tertiary units. When executing the "task distribution and review" process, the terminal interface displays a regional task dashboard, batch dispatch, and review functions. The process scheduling makes it responsible for connecting the upper and lower levels. The secondary node is loaded with a regional task dashboard, an intelligent task dispatch module, and a review and feedback module. The regional task dashboard dynamically displays the status overview of all tasks within the secondary unit on the homepage of the smart mobile terminal, and can quickly locate and view the details of any task based on the map. The intelligent task dispatch module allows managers to select areas or issues on the terminal map and dispatch tasks to one or more tertiary monitoring platforms with one click through the built-in scheduling logic. The review and feedback module can directly review the verification results and evidence reported by the personnel of the tertiary monitoring platform on the terminal, fill in the review comments, and trigger the next process. The third-level node serves as the on-site execution and evidence collection node, supporting frontline verification and law enforcement personnel. It is responsible for on-site verification, evidence collection, simple handling, and result reporting. When executing on-site verification procedures, the terminal functions focus on strong offline operation, AR navigation, rapid evidence collection, and immediate evidence consolidation. The process design ensures ease of operation and reliability. The third-level node includes an optimized communication module, an optimized operation module, and an evidence collection module. The optimized communication module optimizes offline data loading strategies and BeiDou short message backup communication capabilities for the worst network conditions in the field, ensuring uninterrupted core business operations. The optimized operation module features a highly optimized interface and process for core evidence collection functions, combined with AR navigation, voice input, and templated forms, significantly reducing the operational threshold. The evidence collection module strengthens TEE secure collection and the priority fingerprinting process for on-chain evidence collection, ensuring that evidence collected on the front lines is effective immediately, thus solidifying the foundation for law enforcement.

[0025] Secondly, embodiments of the present invention provide a method for supporting intelligent supervision of ecological protection across the entire chain and multiple levels, comprising the following steps: S1: Task Creation and Distribution: Any higher-level regulatory platform in the multi-level regulatory platform initiates an ecological protection case and / or a cross-departmental joint law enforcement task, and uses the business process designer to create a process instance based on the ecological protection case and / or the cross-departmental joint law enforcement task, and generates a task message containing node definitions, preloaded data and flow conditions. The task message is then distributed to the mobile terminal devices and / or cross-departmental business systems at the field supervision end, as well as the data center, through the task distribution and scheduling module of the terminal management platform. S2: Task Reception and Execution: The mobile terminal device at the field monitoring end parses the task message and executes the corresponding task, generates a task completion event, and / or the cross-departmental business system responds to the cross-departmental joint law enforcement task, generating thematic data; wherein... The mobile terminal device business process execution engine parses the node definition in the task message, renders the operation form and loads preloaded data, and drives on-site personnel to perform on-site operations according to the node requirements; the execution tasks include using the edge AI inference container for real-time data analysis, using the AR fusion presentation engine for spatial information overlay, and using the trusted execution environment and Beidou communication module for trusted evidence collection and on-chain storage. The task completion event includes output data, evidence chain information, and a trusted signature; S3: Task Reporting: The task completion event is reported to the terminal management platform via the transport layer, and then forwarded by the terminal management platform to the corresponding superior supervision platform and data center; and / or the topic data is forwarded to the data center through the data exchange gateway and collaborative processing interface; Send to the monitoring platform of the next higher level unit corresponding to the mobile terminal device performing the task; S4: Flow judgment and next node allocation: The multi-level monitoring platform or data center determines the next node and its execution role based on the output data and / or topic data in the task completion event, as well as the flow conditions, and distributes the task message of the next node generated based on the output data, flow conditions and execution role to the mobile terminal device or monitoring platform of the corresponding level of field monitoring end through the terminal management platform. S5: Multi-level collaboration and closed loop: Repeat S2 to S4 until all nodes of the process instance are completed. Finally, the highest-level unit's regulatory platform completes the case closure approval. The data center archives the entire process data into electronic case files and sends case closure notices to the regulatory platforms of each level and cross-departmental business systems.

[0026] Preferably, the task message also includes node identifiers, required role identifiers, operation form templates, evidence collection strategies, and transfer conditions; the preloaded data includes offline maps of the target area, red line vector data, historical case data, and remote sensing image slices.

[0027] Preferably, when the task message is generated in S1, the pre-loaded data packaging service of the multi-level monitoring platform is triggered, generating a spatial data packet, which is then encrypted to construct the task message. The spatial data packet includes the raster tiles surrounding the task patch and vector tiles generated from the vector data. The ecological protection red line data in the vector data is classified data and cannot be directly transmitted, so the corresponding vector tiles need to be encrypted and stored, i.e., an encrypted data packet is generated to construct the task message. The specific process is as follows: Using the defined range of the task patch as the boundary, the required map tile level and range are automatically calculated, the corresponding raster tiles are extracted from the map service, and key vector data such as ecological protection red lines and roads within the range are extracted from the vector service to generate vector tiles; After compressing the vector slices, they are encrypted using the national cryptographic SM4 algorithm with a one-time session key to generate encrypted data packets; The encrypted data packet is uploaded to the data center and a secure download link with timeliness and access control is generated. The link is sent to the field monitoring terminal as the attachments.dataPackageUrl field of the task message, along with the task instructions.

[0028] Preferably, in S2, a trusted execution environment and a BeiDou communication module are used to collect and store trusted evidence on the blockchain. Specifically, when collecting trusted evidence, the trusted execution environment captures the BeiDou positioning coordinates and trusted timestamps, binds them with the hash value of the evidence file to generate a digital signature certificate, and sends the fingerprint packet containing the hash value, signature, coordinates and time to the blockchain evidence storage service via BeiDou short message. After receiving the blockchain transaction receipt, it is associated with the evidence record.

[0029] Preferably, in S3, when the mobile terminal device is without a public network connection, the task completion event is temporarily stored in a local offline queue, and an index relationship with the corresponding task message is established. After the network is restored, the mobile terminal automatically uploads the cached task completion event and the evidence formed by credible proof asynchronously to the terminal management platform.

[0030] Preferably, the flow conditions in S4 include at least one of the following: form field values ​​meet preset thresholds, evidence integrity verification passes, all opinions submitted by the specified roles are submitted, and automatic redirection occurs after timeout. S4 also includes: the upper-level unit's monitoring platform or data center, based on the execution role corresponding to the next node and the geographical location constraints determined by pre-loaded data, combined with the online status and current location of each mobile terminal device, intelligently matching the optimal execution mobile terminal device in the field monitoring terminal.

[0031] Preferably, the full-process data archiving in S5 as electronic files includes: packaging the task completion events, evidence chain information, blockchain evidence certificates, AI analysis reports, and approval opinions from regulatory platforms at all levels into tamper-proof electronic files in chronological order, and generating a unique archiving identifier.

[0032] Preferably, the transport layer automatically switches communication links in S3 and S4 according to the current network environment, giving priority to cellular networks, switching to satellite communication or BeiDou short message service when there is no cellular signal, and enabling self-organizing network mode in local areas to achieve relay transmission between devices.

[0033] Preferably, the cross-departmental business system provides its own departmental thematic data to the data center through the data exchange gateway in S5, and after receiving the cross-departmental joint law enforcement task issued by the multi-level regulatory platform, it decomposes the task to the internal system of its own department and feeds back the execution results.

[0034] Preferably, the multi-level monitoring platform encapsulates the task message in a structured manner to generate task instructions. Specifically, the multi-level monitoring platform uses the remote sensing AI interpretation center to interpret satellite remote sensing images to generate information such as problem patches, verification requirements, executors, and deadlines, and constructs the task message. The message header of the task message includes a globally unique ID, timestamp, priority, and service quality level, while the message body contains the task itself and specifically includes a dataPackageId field to associate it with the spatial data package pre-prepared for this task. The task message is encapsulated into a structured message conforming to a predetermined JSON Schema.

[0035] Preferably, a manifest.json file is generated at the same time as the encrypted data packet, which records metadata such as data version, spatial range, coordinate system, and data hash value.

[0036] Preferably, the task message transmission bus is implemented based on the MQTT protocol; the topic is designed as a multi-level tree structure to realize message subscription filtering and routing; the multi-level monitoring platform listens to the receipt topic, and if no acknowledgment message is received within the set timeout period, the task instruction resend mechanism is triggered to ensure that the task instruction is delivered.

[0037] As can be seen from the above technical solution, compared with the prior art, this invention discloses a system and method that supports intelligent supervision of multi-level ecological protection across the entire chain. The system, by introducing business process logic construction and execution capabilities, upgrades the mobile terminal, serving as the field supervision end, into a dynamically programmable, deeply understanding business semantics, and autonomously collaborative intelligent agent. The multi-level supervision platform defines the business blueprint in the cloud, and the terminal parses and drives the precise execution of the blueprint on-site. Each software functional module becomes a building block invoked by the process. This architecture fundamentally supports the diverse and ever-changing ecological supervision business needs of multi-level regional divisions, realizing a qualitative leap in supervision business from information-based support to digital-driven operation. It is the core technological embodiment of the mobile terminal as a multi-level collaborative scheduling node. The method of this invention begins with macro-level perception and decision-making on the cloud platform, reaches the mobile terminal through a secure and reliable task and data synchronization channel, and ends with the intelligent execution and reliable evidence feedback on-site by the terminal, forming a business closed loop. Based on the aforementioned system, this method deeply integrates the entire closed-loop process with a multi-level collaborative mechanism. Combining core technologies such as AI intelligent algorithms, multi-source data fusion, and national standard protocol adaptation, it achieves a fully closed-loop, multi-level collaborative, and intelligent ecological protection supervision process. This addresses the pain points of existing methods, such as crude processes, insufficient intelligence, and poor collaboration. The mobile intelligent terminal is deeply reconstructed into a business node integrating an intelligent collaborative gateway, an on-site intelligent brain, and a trusted evidence anchor point. Through specific interaction processes with the cloud platform, it systematically solves the challenges of multi-level collaboration, on-site empowerment, and judicial credibility. Specifically, it has the following beneficial effects: 1) Revolutionary improvement in business collaboration efficiency: Through the business collaboration gateway engine, the problem of multi-level collaboration disconnection is completely solved, the flow time of cross-level tasks is shortened, and the business integrity execution rate is effectively improved in the case of intermittent network interruption.

[0038] 2) A fundamental breakthrough in the effectiveness of judicial evidence: Through the innovation of trusted anchor points on the edge, the judicial preservation time of electronic evidence in the field is compressed from hours / days to seconds (fingerprints are instantly uploaded to the blockchain).

[0039] 3) A qualitative leap in on-site supervision capabilities: Through embedded on-site intelligent empowerment kits, terminals become on-site intelligent assistants. AR navigation reduces target positioning errors from the ten-meter level to the sub-meter level; edge AI improves the accuracy of complex feature recognition by more than 35%; offline spatiotemporal analysis enables grassroots personnel to complete high-quality verification without a strong professional background, greatly reducing the over-reliance on personnel quality for the modernization of supervision capabilities.

[0040] 4) Technological autonomy and system resilience: Utilizing domestically developed BeiDou navigation system, national cryptographic algorithms, and domestically produced security chips, the entire technology stack is independently controllable. Multi-mode adaptive transmission and incremental synchronization mechanisms endow the system with strong resilience against network fluctuations, adapting to the complex regulatory environment across a vast territory. Attached Figure Description

[0041] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on the provided drawings without creative effort.

[0042] Figure 1 This is a schematic diagram of the overall network architecture of a system that supports intelligent supervision of the entire chain and multiple levels of ecological protection, provided in an embodiment of the present invention. Figure 2 This is a schematic diagram illustrating the working principle of multi-source data acquisition and offline operation of a mobile terminal provided in this embodiment of the invention. Figure 3 This is a schematic diagram of the layered architecture of a mobile terminal provided in an embodiment of the present invention. Detailed Implementation

[0043] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. 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 skilled in the art without creative effort are within the scope of protection of the present invention.

[0044] This invention discloses a system that supports intelligent supervision of ecological protection across the entire chain and multiple levels, such as... Figure 1 As shown, the system includes a field monitoring terminal, a transmission layer, a terminal management platform, a data center, a multi-level monitoring platform, and a cross-departmental business system. The field monitoring terminal communicates with the terminal management platform, the cross-departmental business system, the data center, and the multi-level monitoring platform through the transmission layer, thus constructing a layered collaborative monitoring network. The field monitoring system includes mobile terminal devices and on-site sensing devices. The mobile terminal is used to collect multimodal evidence on-site and receive task messages issued by the multi-level monitoring platform. Based on the task messages, it performs real-time AI analysis, credible evidence consolidation, and task completion event reporting on the multimodal evidence on-site. The on-site sensing devices are used to assist in the collection of ecological and environmental data. The terminal management platform is used for unified identity management, software version control, precise task distribution, and real-time monitoring of the running status of mobile terminal devices; The multi-level supervision platform includes supervision platforms corresponding to multi-level units divided according to regional levels. It is used to initiate ecological protection case generation task messages and / or cross-departmental joint law enforcement tasks according to regional levels, and to review, consult, supervise and close corresponding ecological protection cases based on task completion events. The cross-departmental business system receives and responds to cross-departmental joint law enforcement tasks, and provides the data center with thematic data from each department through data exchange gateways and collaborative processing interfaces; The data center is used to receive multimodal evidence and ecological environment data from field supervision, ecological protection case-related data from multi-level supervision platforms, and thematic data from the cross-departmental business systems, forming multi-source heterogeneous data, and to perform standardized storage, lineage tracing, and cross-system sharing.

[0045] In one specific embodiment, lineage tracing involves analyzing data that shows a connection, while cross-system sharing involves sharing data from a data center with various systems across different business systems on demand, or collecting data from one system and sharing it with another.

[0046] In one specific embodiment, the mobile terminal device is divided into a hardware layer, a software layer, and an application layer; the field sensing device includes drones, cameras, sensors, and positioning devices.

[0047] Furthermore, the business process execution engine is used to parse the node definitions in the task message, render the operation form, load the preloaded data, drive on-site personnel to perform operations according to the node requirements, and generate a task completion event containing output data, evidence chain information and trusted signatures after the task is completed.

[0048] In one specific embodiment, the transport layer includes an adaptive switching module, a satellite communication module, a cellular network communication module, an ad hoc network communication module, and a BeiDou short message module. The adaptive switching module automatically switches between the cellular network communication module, the satellite communication module, the ad hoc network communication module, and the BeiDou short message module based on the signal strength and availability of the current network environment. The switching process is transparent to the upper-layer applications. It provides redundant communication links between the field monitoring terminal and other systems in different network environments, ensuring the reliability and real-time performance of data transmission.

[0049] In one specific embodiment, the terminal management platform includes a device registration and authentication module, a task distribution and scheduling module, an application configuration and management module, and a status monitoring and alarm module.

[0050] In one specific embodiment, the data center includes a data aggregation interface, a data cleaning and transformation module, a distributed storage cluster, a data governance engine, and a data sharing service bus.

[0051] In one specific embodiment, the multi-level supervision platform is a supervision platform corresponding to a multi-level unit divided according to the regional level, including a first-level supervision platform, a second-level supervision platform, a third-level supervision platform, a fourth-level supervision platform, and a fifth-level supervision platform; the supervision platforms at all levels realize data synchronization and process collaboration through cascading interfaces, and each level of supervision platform includes functional modules such as task management, case handling tracking, case closure approval, consultation and decision-making, data report statistics, and access control.

[0052] Furthermore, the platforms at different levels achieve data synchronization and process collaboration through cascading interfaces. Each level of the regulatory platform includes functional modules such as task management, case handling tracking, case closure approval, consultation and decision-making, data report statistics, and access control. These modules are used to initiate, review, consult on, supervise, and close ecological protection cases according to their administrative level.

[0053] In one specific embodiment, the cross-departmental business system includes the business system of the natural resources department, the business system of the water resources department, the business system of the agriculture and rural affairs department, and the business system of the forestry and grassland department, etc.

[0054] In one specific embodiment, the field monitoring terminal uses a mobile terminal device such as... Figure 3 As shown, it includes a hardware layer, a software layer, and an application layer. The hardware layer includes a core control module, a multi-source data acquisition module, a positioning and navigation module, a communication transmission module, a display and interaction module, a power management module, and a storage module. The software layer runs on top of the hardware layer and includes a business process execution engine, an incremental synchronization engine, a data fusion processing module, an intelligent navigation analysis module, a data encryption module, a trusted evidence chain construction module, and a protocol adaptation module. The application layer includes a regulatory data collection application, an intelligent analysis application, a hierarchical reporting application, a handling feedback application, a trajectory management application, and an offline operation application.

[0055] Furthermore, in the hardware layer, the core control module uses a high-performance embedded processor to coordinate and control the collaborative work of various hardware modules, run software layer algorithms and application layer programs, process various types of collected data, support multi-task parallel processing, and ensure smooth terminal operation. The multi-source data acquisition module includes an environmental parameter acquisition unit, an image and video acquisition unit, and an auxiliary data acquisition unit. It integrates multiple acquisition functions, enabling simultaneous acquisition of multi-source data such as environmental parameters, images, videos, and sound, thus solving the problem of single-source acquisition in existing terminals. The environmental parameter acquisition unit integrates multiple sensors such as temperature, humidity, and PM2.5, allowing real-time acquisition of ecological environmental parameters such as air, water, and soil, supporting both manual triggering and timed automatic acquisition. The image and video acquisition unit uses high-definition and infrared cameras, supporting visible light and infrared imaging, and can collect visual evidence of on-site ecological damage and pollution emissions. It features image stabilization and night vision capabilities, adapting to complex outdoor scenarios. The auxiliary data acquisition unit integrates sound acquisition and QR code scanning functions, enabling the acquisition of on-site sound information and the scanning of QR codes of monitored objects to obtain basic information, achieving precise association of monitored objects. The positioning and navigation module integrates Beidou positioning and GPS positioning modes, with a positioning accuracy of ≤1 meter. It supports offline positioning, can obtain terminal location information in real time, record monitoring trajectory, accurately locate monitoring points, and provide navigation support for field patrols and point verification. The communication transmission module supports multiple communication modes including 5G, 4G, WiFi, Bluetooth, and LoRa, and can automatically switch communication methods according to the scenario to achieve real-time data upload. It also supports offline storage + online retransmission, storing data locally in network-free scenarios and automatically synchronizing it to the backend system after the network is restored to ensure no data loss. It supports all versions of the GB28181 protocol, which can convert non-standard streams into standard streams, enabling seamless integration with regulatory platforms at all levels. This design is one of the core innovations, solving the problems of inconsistent protocols and poor compatibility in existing devices. The display and interaction module uses a high-definition touch screen that is visible in sunlight and is waterproof, drop-proof, and dustproof, making it suitable for harsh outdoor environments. It provides a simple interactive interface that supports handwriting input and voice control, facilitating quick operation for frontline staff. The power management module uses a high-capacity lithium battery, supports fast charging and solar charging, has a battery life of ≥12 hours, and is equipped with a power warning function that automatically reminds you to charge when the battery is low, ensuring the needs of long-term field operations. The storage module uses a large-capacity solid-state drive, supports encrypted data storage, and can store collected environmental parameters, images, videos, monitoring trajectories, and other data, with a storage capacity of ≥128GB, ensuring data security and storage requirements.

[0056] Furthermore, in the software layer, the business process execution engine comprises three parts: a process parsing and instantiation manager, a node task scheduler, and a local action executor. The process parsing and instantiation manager is responsible for downloading and parsing the business process definition file (a structured JSON description file) from the cloud, creating and maintaining the corresponding process instance and its state locally. The node task scheduler dynamically schedules and coordinates various functional modules within the terminal based on the current node definition of the process instance. For example, when the process enters the "on-site verification" node, it automatically triggers: loading the offline map, starting AR navigation, activating the evidence collection interface and attaching TEE and AI recognition, and configuring a priority evidence upload strategy. The local action executor executes the specific operations defined by the node, such as rendering specified forms, calling predefined AI models for analysis, executing data verification rules, and encapsulating the operation results into standardized events.

[0057] The data fusion processing module is used to clean, fuse, and standardize the collected multi-source data. It uses the isolated forest algorithm to identify and correct abnormal data, remove invalid and duplicate data, and convert data of different formats into a unified standard format to ensure data consistency and provide high-quality data support for subsequent analysis and judgment. The terminal is pre-installed with a lightweight GIS kernel, providing multi-temporal, high-frequency, and high-resolution image services. It supports loading offline encrypted data packages dynamically pre-built by the cloud according to the task area. This data package not only includes the base map but also integrates thematic vector data such as ecological protection red lines and nature reserve boundaries, as well as historical remote sensing image tiles related to the task. This module supports spatial querying, map measurement, and multi-temporal image sliding comparison in offline environments, extending cloud data capabilities to the field. The intelligent navigation and analysis module integrates AI machine learning prediction algorithms and mainstream large models, enabling real-time analysis of environmental parameter data to identify pollution anomalies, ecological damage, and other issues, accurately determining the type, scope, and source of pollution. It also intelligently identifies image and video data, automatically recognizing illegal discharges, deforestation, and illegal land occupation, reducing manual analysis workload. Furthermore, it analyzes and assesses problem clues and verification results, improving the efficiency of off-site verification and problem review. Combined with high-precision BeiDou positioning (supporting differential enhancement), an inertial measurement unit (IMU), and a camera, it achieves sub-meter-level AR real-scene navigation. Virtual layers such as the boundaries of areas to be verified and ecological protection red lines can be precisely overlaid on real-time video footage, providing intuitive guidance and significantly improving positioning accuracy and efficiency. The data encryption module uses a symmetric encryption algorithm to encrypt the collected, transmitted, and stored data throughout the entire process, preventing data leakage and tampering, ensuring the security and legal validity of regulatory data, and meeting the needs of law enforcement and evidence collection. The trusted evidence chain construction module utilizes a domestically produced security chip or trusted execution environment built into the terminal to achieve hardware-level linkage of data acquisition, positioning, timing, and signing at the driver layer. When taking a photo / recording a video, the BeiDou positioning coordinates, the trusted timestamp protected by the TEE, the device's unique identifier, and the original media data stream are synchronously hashed and digitally signed within the TEE to generate an indivisible trusted evidence data packet. After the evidence is generated, its hash value is immediately extracted and encapsulated with core metadata into an evidence storage request packet (<1KB). This process is completed within seconds, achieving immediate fixation of evidence. The protocol adaptation module supports multiple communication protocols and data interfaces, enabling it to adapt to regulatory systems at different levels and in different departments. This achieves data interoperability and sharing, breaking the data silo problem and, in conjunction with a multi-level platform architecture, building a collaborative regulatory innovation system. For network interruptions, a "business status snapshot + operation log chain" mechanism is designed. The terminal continuously records local business operation logs in any network environment. After the network recovers, only incremental logs are synchronized. The cloud reconstructs the complete terminal state by revisiting the logs, greatly saving bandwidth and ensuring consistency. When conflicting instructions are received from different platform levels, the built-in strategy engine intelligently arbitrates and resolves them according to preset rules (such as task priority, instruction timeliness, and issuing entity level), ensuring the orderly operation of business logic.

[0058] Furthermore, in the application layer, the regulatory data collection application is used to trigger multi-source data collection, set the collection frequency and collection range, view real-time collected data, edit collection notes, and associate information with the regulated objects. The intelligent analysis application is used to display intelligent analysis results. Based on the large model and AI algorithm integrated in the software layer, it automatically calls relevant laws and regulations and auxiliary data to provide details of abnormal issues and pollution source tracing reports. It supports manual review and annotation to help users quickly judge regulatory issues. The tiered reporting application supports automatic reporting of problem data and various information to the corresponding level of regulatory platforms and responsible personnel based on the severity of the regulatory issues and the scope of jurisdiction. It can add reporting opinions and supporting materials to achieve rapid problem circulation. The handling feedback application is used to receive handling instructions issued by superiors, record the handling process, handling measures and handling results, and provide feedback on handling progress, forming a closed loop of "reporting - instruction - handling - feedback"; The trajectory management application is used to record the patrol trajectories of regulatory personnel, supports trajectory playback and export, and can count patrol mileage and patrol duration to provide a basis for regulatory assessment. The offline operation application supports data collection, storage, and local analysis in environments without network access. Once the network is restored, data and operation records are automatically synchronized to ensure uninterrupted field supervision.

[0059] In one specific embodiment, a hierarchical collaborative regulatory network is formed through interconnection and communication via an MQTT protocol bus. The MQTT protocol bus includes task flow, data flow, evidence flow, and status flow. The hierarchical collaborative regulatory network includes a data service interface and an authentication and security channel. The data service interface includes map tile service, vector data service, and blockchain evidence storage interface. The map tile service follows the OSM or TMS standard and is dynamically invoked by the packaged service. The vector data service provides ecological red line and protected area data in GeoJSON or vector tile format. The blockchain evidence storage interface provides a standard RESTful API, receives evidence storage requests, and returns transaction receipts. The authentication and security channel uses a two-way authentication method based on digital certificates to access the system message bus to realize communication between the smart mobile terminal and the upper-level regulatory cloud platform. All downlink commands and uplink data are encrypted using a one-time key session key, and the session key is securely distributed using the SM2 public key encryption algorithm.

[0060] In one specific embodiment, a Level 1 regulatory platform coordinates regulatory work, collects aggregated data and issues reported by lower-level edge collaborative nodes, issues regulatory instructions and standards, and conducts ecological environment status analysis and regulatory effectiveness assessment. The Level 1 regulatory platform includes a business process designer and management center, a remote sensing AI interpretation center, a process instantiation and task scheduling engine, blockchain evidence storage service nodes, a 3D visualization engine, and a master message broker cluster. The hierarchical order of the regulatory platforms is: Level 1, Level 2, Level 3, Level 4, and Level 5 regulatory platforms. The higher-ranked regulatory platforms serve as the superior regulatory platforms to the lower-ranked ones, and the lower-ranked regulatory platforms serve as the subordinate regulatory platforms.

[0061] In one specific embodiment, the lower-level regulatory platform, acting as a regional hub, receives data and issues reported by the regulatory platforms of its corresponding lower-level units, summarizes and analyzes the ecological protection status, issues regulatory instructions, coordinates cross-regional collaborative handling within the lower-level units' regions, and reports relevant data and major issues to the higher-level unit's platform; it includes a local task scheduling engine, map tiling and data packaging services, subordinate message brokers, and video / data aggregation services with the front end.

[0062] Furthermore, the regulatory platforms at all levels achieve data synchronization and process collaboration through cascading interfaces. Each level of the regulatory platform includes functional modules such as task management, case handling tracking, case closure approval, consultation and decision-making, data report statistics, and access control. It supports cross-departmental data sharing and can connect with the business systems of departments such as natural resources, forestry and grassland, and water resources to achieve collaborative law enforcement.

[0063] In one specific embodiment, the mobile terminal device is a smart mobile terminal, which serves as the carrier for data collection and on-site handling. It is deployed in the hands of regulatory personnel at all levels to achieve multi-source data collection, real-time analysis, intelligent early warning, hierarchical reporting, and handling feedback. It has on-site decision support functions based on the collected data, can flexibly adapt to and deeply integrate into the multi-level ecological regulatory business system, and achieve seamless collaboration from macro-decision-making to micro-execution. It is the core of the connection between the system and the front-line regulatory scenario, and a business intelligent node that connects multi-level collaboration and scheduling. It supports multiple terminals online at the same time and adapts to the regulatory needs of different levels.

[0064] Furthermore, through the software configuration of the terminal management platform and the cloud-based strategy drive of the multi-level supervision platform, the intelligent mobile terminal carries different business process instances and dynamically plays a differentiated and intelligent role in the business of different levels of units; the intelligent mobile terminal belongs to the first-level node, second-level node or third-level node; The primary node serves as a supervision and decision support node, supporting the ecological protection supervision and enforcement personnel of the primary regulatory platform. It facilitates on-site supervision, review, and acceptance of major ecological and cross-regional issues, and provides frontline data support for high-level decision-making. The primary node is equipped with a panoramic data view, advanced analysis tools, and a cross-level command channel. The panoramic data view integrates multi-dimensional data such as high-resolution remote sensing images from multiple periods, regional planning maps, and various approval information, supporting in-depth spatiotemporal analysis and comparison on-site. The advanced analysis tools are equipped with more complex edge AI models to assist supervisors in conducting professional-level analysis. The cross-level command channel can directly receive direct instructions from higher-level platforms through dedicated topics, and simultaneously synchronize on-site verification conclusions and rich media evidence to other relevant platforms with a single click, driving multi-level coordinated rectification. The secondary node serves as a coordination and scheduling node and a process monitoring node. It is used to serve the management and technical personnel of the secondary monitoring platform, for task distribution, process tracking, regional overall coordination, on-site information collection, and review of the verification results of the tertiary units. When executing the "task distribution and review" process, the terminal interface displays a regional task dashboard, batch dispatch, and review functions. The process scheduling makes it responsible for connecting the upper and lower levels. The secondary node is loaded with a regional task dashboard, an intelligent task dispatch module, and a review and feedback module. The regional task dashboard dynamically displays the status overview of all tasks within the secondary unit on the homepage of the smart mobile terminal, and can quickly locate and view the details of any task based on the map. The intelligent task dispatch module allows managers to select areas or issues on the terminal map and dispatch tasks to one or more tertiary monitoring platforms with one click through the built-in scheduling logic. The review and feedback module can directly review the verification results and evidence reported by the personnel of the tertiary monitoring platform on the terminal, fill in the review comments, and trigger the next process. The third-level node serves as the on-site execution and evidence collection node, supporting frontline verification and law enforcement personnel. It is responsible for on-site verification, evidence collection, simple handling, and result reporting. When executing on-site verification procedures, the terminal functions focus on strong offline operation, AR navigation, rapid evidence collection, and immediate evidence consolidation. The process design ensures ease of operation and reliability. The third-level node includes an optimized communication module, an optimized operation module, and an evidence collection module. The optimized communication module optimizes offline data loading strategies and BeiDou short message backup communication capabilities for the worst network conditions in the field, ensuring uninterrupted core business operations. The optimized operation module features a highly optimized interface and process for core evidence collection functions, combined with AR navigation, voice input, and templated forms, significantly reducing the operational threshold. The evidence collection module strengthens TEE secure collection and the priority fingerprinting process for on-chain evidence collection, ensuring that evidence collected on the front lines is effective immediately, thus solidifying the foundation for law enforcement.

[0065] On the other hand, in one specific embodiment, a method supporting intelligent supervision of ecological protection across the entire chain and multiple levels is adopted, which specifically includes the following steps: S1: Task Creation and Distribution: Any higher-level regulatory platform in the multi-level regulatory platform initiates an ecological protection case and / or a cross-departmental joint law enforcement task, and uses the business process designer to create a process instance based on the ecological protection case and / or the cross-departmental joint law enforcement task, and generates a task message containing node definitions, preloaded data and flow conditions. The task message is then distributed to the mobile terminal devices and / or cross-departmental business systems at the field supervision end, as well as the data center, through the task distribution and scheduling module of the terminal management platform. S2: Task Reception and Execution: The mobile terminal device at the field monitoring end parses the task message and executes the corresponding task, generates a task completion event, and / or the cross-departmental business system responds to the cross-departmental joint law enforcement task, generating thematic data; wherein... The mobile terminal device business process execution engine parses the node definition in the task message, renders the operation form and loads preloaded data, and drives on-site personnel to perform on-site operations according to the node requirements; the execution tasks include using the edge AI inference container for real-time data analysis, using the AR fusion presentation engine for spatial information overlay, and using the trusted execution environment and Beidou communication module for trusted evidence collection and on-chain storage. The task completion event includes output data, evidence chain information, and a trusted signature; S3: Task Reporting: The task completion event is reported to the terminal management platform via the transport layer, and then forwarded by the terminal management platform to the corresponding superior supervision platform and data center; and / or the topic data is forwarded to the data center through the data exchange gateway and collaborative processing interface; Send to the monitoring platform of the next higher level unit corresponding to the mobile terminal device performing the task; S4: Flow judgment and next node allocation: The multi-level monitoring platform or data center determines the next node and its execution role based on the output data and / or topic data in the task completion event, as well as the flow conditions, and distributes the task message of the next node generated based on the output data, flow conditions and execution role to the mobile terminal device or monitoring platform of the corresponding level of field monitoring end through the terminal management platform. S5: Multi-level collaboration and closed loop: Repeat S2 to S4 until all nodes of the process instance are completed. Finally, the highest-level unit's regulatory platform completes the case closure approval. The data center archives the entire process data into electronic case files and sends case closure notices to the regulatory platforms of each level and cross-departmental business systems.

[0066] In one specific embodiment, the task message also includes node identifiers, required role identifiers, operation form templates, evidence collection strategies, and transfer conditions; the preloaded data includes offline maps of the target area, red line vector data, historical case data, and remote sensing image slices.

[0067] In one specific embodiment, when the task message is generated in S1, the pre-loaded data packaging service of the multi-level monitoring platform is triggered to generate a spatial data packet, which is then encrypted to construct the task message. The spatial data packet includes the raster tiles surrounding the task patch and vector tiles generated from the vector data. The ecological protection red line data in the vector data is classified data and cannot be directly transmitted, so the corresponding vector tiles need to be encrypted and stored, i.e., an encrypted data packet is generated to construct the task message. The specific process is as follows: Using the defined range of the task patch as the boundary, the required map tile level and range are automatically calculated, the corresponding raster tiles are extracted from the map service, and key vector data such as ecological protection red lines and roads within the range are extracted from the vector service to generate vector tiles; After compressing the vector slices, they are encrypted using the national cryptographic SM4 algorithm with a one-time session key to generate encrypted data packets; The encrypted data packet is uploaded to the data center and a secure download link with timeliness and access control is generated. The link is sent to the field monitoring terminal as the attachments.dataPackageUrl field of the task message, along with the task instructions.

[0068] In one specific embodiment, S2 utilizes a trusted execution environment and a BeiDou communication module to collect and store trusted evidence on the blockchain. Specifically, when collecting trusted evidence, the trusted execution environment captures BeiDou positioning coordinates and a trusted timestamp, binds them with the hash value of the evidence file to generate a digital signature certificate, and sends a fingerprint packet containing the hash value, signature, coordinates, and time to the blockchain evidence storage service via BeiDou short message. After receiving the blockchain transaction receipt, it is associated with the evidence record.

[0069] In one specific embodiment, the task completion event in S3 is temporarily stored in a local offline queue when the mobile terminal device is without a public network connection, and an index relationship is established with the corresponding task message. After the network is restored, the mobile terminal automatically and asynchronously uploads the cached task completion event and the evidence formed through trusted authentication to the terminal management platform. Figure 2 The diagram shows the working principle of multi-source data acquisition and offline operation of a smart mobile terminal. When there is a network, the smart mobile terminal is in online mode and transmits data through the network; when there is no network, the smart mobile terminal is in offline mode, meaning that there is no network condition, and the data and information are local, and will be transferred when there is a network.

[0070] In one specific embodiment, the flow conditions in S4 include at least one of the following: the form field value meets a preset threshold, the evidence integrity verification passes, all opinions are submitted by the specified role, and automatic redirection occurs after timeout. S4 also includes: the upper-level unit's monitoring platform or data center, based on the execution role corresponding to the next node and the geographical location constraints determined by pre-loaded data, combined with the online status and current location of each mobile terminal device, intelligently matching the optimal execution mobile terminal device in the field monitoring terminal.

[0071] In one specific embodiment, the full-process data archiving in S5 into electronic files includes: encapsulating the task completion events, evidence chain information, blockchain evidence certificates, AI analysis reports, and approval opinions from regulatory platforms at all levels into tamper-proof electronic files in chronological order, and generating a unique archiving identifier. In one specific embodiment, the transport layer automatically switches communication links in S3 and S4 according to the current network environment, giving priority to cellular networks, switching to satellite communication or BeiDou short message service when there is no cellular signal, and enabling self-organizing network mode in local areas to realize relay transmission between devices.

[0072] In one specific embodiment, the cross-departmental business system provides its own departmental thematic data to the data center through the data exchange gateway in S5, and after receiving the cross-departmental joint law enforcement task issued by the multi-level regulatory platform, it decomposes the task to its own internal system and feeds back the execution results.

[0073] In one specific embodiment, the multi-level monitoring platform structurally encapsulates task messages to generate task instructions. Specifically, the platform utilizes a remote sensing AI interpretation center to interpret satellite remote sensing images, generating information such as problem patches, verification requirements, executors, and deadlines to construct task messages. The task message header includes a globally unique ID, timestamp, priority, and service quality level; the message body contains the task itself and specifically includes a `dataPackageId` field to associate it with the pre-prepared spatial data packet for this task. The task message is then encapsulated into a structured message conforming to a predetermined JSON Schema.

[0074] Furthermore, a manifest.json file is generated simultaneously with the encrypted data packet, recording metadata such as data version, spatial range, coordinate system, and data hash value.

[0075] In one specific embodiment, the task message transmission bus is implemented based on the MQTT protocol; the topic is designed as a multi-level tree structure to realize message subscription filtering and routing; the multi-level monitoring platform listens to the receipt topic, and if no acknowledgment message is received within the set timeout period, the task instruction resend mechanism is triggered to ensure that the task instruction is delivered.

[0076] In one specific embodiment, when the field monitoring terminal detects Wi-Fi or high-speed mobile network, the data synchronization engine automatically starts, scans the local database, retrieves the original credible evidence (locally encrypted) whose status is collected but whose original file is uploaded, packages it with the corresponding blockchain transaction hash, and uploads it to the multi-level monitoring platform through a high-speed network channel; the upload supports resuming interrupted uploads.

[0077] On the other hand, in a specific embodiment, taking the entire process of intelligent supervision of an illegal sand mining case in the core area of ​​a nature reserve as an example, the collaborative workflow of the system and method of the present invention is fully demonstrated. The case will strictly follow the core logic of dynamic business process driving, cloud-edge-device collaboration, and real-time evidence consolidation.

[0078] This embodiment employs a method supporting a multi-level, end-to-end intelligent ecological protection supervision system. Taking a case of illegal sand mining in a river basin, jointly supervised by the Ministry and the province, as an example, the specific implementation process of this method is explained in detail. The system includes a field monitoring terminal (including mobile terminal devices and on-site sensing devices), a transmission layer (including cellular networks, satellite communication, self-organizing networks, and BeiDou short message modules), a terminal management platform, a data center, multi-level monitoring platforms (Level 1, Level 2, Level 3, Level 4, and Level 5 monitoring platforms), and cross-departmental business systems (departments such as natural resources, water resources, agriculture and rural affairs, and forestry and grassland). The mobile terminal integrates a business process execution engine, a trusted execution environment (TEE), an edge AI inference container, an AR fusion presentation engine, and a BeiDou communication module, serving as the actual execution carrier of the business process.

[0079] Phase 1: Task Creation and Distribution The primary monitoring platform, through satellite remote sensing interpretation, detected suspected illegal sand mining activities in a certain watershed. After generating a problem area map, the platform created a process instance (Instance ID: 20231001-001), adopting a predefined "Joint Supervision Process for Major Ecological Damage by the Ministry and Provinces". This process definition includes eight nodes, each defining a node identifier, required roles, operation form templates, pre-loaded data lists, evidence collection strategies, and transfer conditions.

[0080] The primary monitoring platform synchronizes process instance information to the secondary monitoring platform via a cascading interface. The secondary monitoring platform's task management module generates a task message for the first node (N2: Provincial Director Approval) based on the process definition. This task message includes the node identifier N2, the required role "Provincial Director," an operation form template (case review and assignment form), pre-loaded data (case background PDF, remote sensing image slices, historical data), and flow conditions (jumping to N3 if the assigned object is not empty). The secondary monitoring platform, through the task distribution and scheduling module of the terminal management platform, distributes the task message via the cellular network to the mobile terminal of the Provincial Director role. Before distribution, the terminal management platform performs identity authentication and device registration verification on the mobile terminal to ensure that the task is only distributed to legitimate devices.

[0081] Phase Two: Task Reception and On-site Execution After receiving the task message via the transport layer, the provincial director's mobile terminal uses its built-in business process execution engine to parse the node definition, render the operation form, load pre-loaded data into local secure storage, and assign the task to Inspector Wang. Once the engine verifies the required fields in the form, it generates a node completion event. This event includes the process instance ID, node ID, status "completed," output data (assigned object identifier, comments), a trusted timestamp, and a TEE signature. This event is reported to the terminal management platform via the transport layer's cellular network. The terminal management platform then forwards it to the secondary monitoring platform and the data center. The secondary monitoring platform updates its local process status and, based on the flow conditions, determines the next node as N3 (drone reconnaissance). It then sends the N3 task message to Inspector Wang's mobile terminal via the terminal management platform. The pre-loaded data includes an offline topographic map of the target area, a no-fly zone layer, and a drone list.

[0082] After Inspector Wang's mobile terminal receives the N3 task, the engine parses the node definition and renders the drone reconnaissance form. The terminal calls the drone management platform (part of the drone management system in the cross-departmental business system) through a local interface to issue a takeoff command, and the drone transmits a real-time video stream. The terminal's built-in edge AI inference container performs real-time target detection on the video stream, identifies large machinery, and generates a structured AI report. After Inspector Wang's mobile terminal confirms the reconnaissance conclusion as "confirmed large-scale illegal sand mining," it submits the report. The engine generates a node completion event, outputting the drone video local path, AI report, reconnaissance conclusion, and evidence chain information (video hash value). This event is reported to the secondary supervision platform, which submits the key evidence hash value to the blockchain evidence storage service and stores the reconnaissance conclusion in the case database. Based on the transfer conditions, the secondary supervision platform issues a dispatch instruction to the tertiary supervision platform. The tertiary supervision platform, according to the N4 node definition (role: municipal law enforcement officer, geographical location constraint: distance from target <50 kilometers), and combined with the online status and current location of each mobile terminal provided by the terminal management platform, intelligently matches the mobile terminal to the tertiary node (Captain Li), and pushes N4 task messages and pre-loaded data (UAV orthophoto, red line vector, offline map) through the terminal management platform.

[0083] Phase 3: On-site verification and credible evidence collection After Captain Li's mobile terminal receives the N4 task, the engine parses the node definition and renders the on-site verification form. The execution process includes: First, the terminal calls the AR fusion rendering engine to overlay red line boundaries and target area markers onto the real-time camera footage, guiding Captain Li to the precise location while automatically recording the trajectory.

[0084] Secondly, the terminal allows Captain Li to take photos of the excavator on site. The moment the shutter is pressed, the Trusted Execution Environment (TEE) captures the BeiDou positioning coordinates (34.12°N, 108.56°E) and trusted time (2023-10-01 14:32:05 UTC+8), binding them with the photo's hash value to generate a digital signature credential. The terminal sends a "fingerprint packet" containing the hash value, signature, coordinates, and time to the blockchain evidence storage service via the BeiDou short message module in the transport layer. A few seconds later, a blockchain transaction receipt (TxID: 0x8912…a7f3) is received, and the engine associates this TxID with the evidence record.

[0085] Next, the edge AI inference container performs real-time analysis of the on-site video stream, identifies three excavators and two dump trucks, estimates the disturbed area to be 4.8 hectares, and generates an AI report.

[0086] Finally, Captain Li's mobile terminal generated an on-site record, concluding that "illegal sand mining was confirmed and stopped on the spot," and uploaded all evidence. After verifying the completeness of the evidence, the engine generated a node completion event, outputting the inspection results, measures, evidence list (including the TxID or hash of each piece of evidence), and AI summary. Due to the lack of public network connection at the site, the event was temporarily stored in a local offline queue. Once the network was restored, the terminal automatically uploaded the cached node completion event and the original evidence files asynchronously to the terminal management platform via the cellular network of the transport layer. The terminal management platform forwarded the data to the Level 3 supervision platform and the data center. The Level 3 supervision platform submitted the hash value and TxID of the evidence files to the blockchain evidence storage service for secondary verification, and simultaneously synchronized the event and evidence to the Level 2 and Level 1 supervision platforms. Based on the transfer conditions, the Level 2 supervision platform distributed the N5 task message (multi-department consultation) to the mobile terminals of the Level 2 nodes (multiple leaders), along with all case materials (including satellite imagery shared by the Level 1 supervision platform, drone reports stored by the Level 2 supervision platform, and on-site evidence uploaded by the Level 3 supervision platform).

[0087] Phase Four: Multi-departmental Consultation and Decision-Making After receiving the N5 task on the mobile terminals of the secondary nodes (multiple leaders), the engine parses the node definition, renders the consultation form, and embeds a complete timeline of the case, all evidence (including blockchain-based evidence certificates), and an AI analysis report. The engine automatically summarizes the consultation opinions of all leaders to generate a consultation resolution. The leaders' mobile terminals report this resolution to the secondary supervision platform, which then synchronizes the resolution content to the primary supervision platform for filing and issues a rectification task to the tertiary supervision platform. The tertiary supervision platform, through its terminal management platform, dispatches the N6 task message to the mobile terminal of Director Zhang of the Environmental Protection Bureau on the tertiary supervision platform, along with rectification requirements and timelines.

[0088] Phase 5: Rectification Tracking and Progress Reporting After Director Zhang's mobile terminal receives the N6 task, the engine parses the node definition and renders the rectification task form. Based on the actual progress of the rectification work, the engine generates a work progress update event and reports it to the Level 4 supervision platform. The Level 4 supervision platform updates its local ledger and synchronizes the progress information to all higher-level supervision platforms. When the progress reaches 100% and the final acceptance application is submitted, the engine marks the node as "completed" and outputs a rectification completion report. After the Level 4 supervision platform approves the report, it submits a review request to the Level 2 supervision platform. The Level 2 supervision platform then dispatches the N7 task message to Inspector Wang's mobile terminal, along with full-process monitoring data during the rectification period.

[0089] Phase 6: Review and Closure After Inspector Wang's mobile terminal receives the N7 task, the engine parses the node definition and renders the review form. Upon arriving at the site, Inspector Wang uses the AR function to overlay the pre-rectification drone imagery onto the current real-world scene, confirming that vegetation has been restored. The edge AI analysis shows that vegetation coverage exceeds 80%. Inspector Wang fills in the review conclusion as "qualified" and submits it. The engine generates a node completion event and reports it to the second-level regulatory platform. After confirmation by the second-level regulatory platform, a case closure application is submitted to the first-level regulatory platform. The first-level regulatory platform administrator's mobile terminal receives the N8 task, renders the case closure approval form, and provides a full-process retrospective view. After reviewing all records, the administrator clicks "Approve Case Closure," and the engine generates a final completion event. The first-level regulatory platform updates the process instance status to "Completed," and the data center encapsulates all process data (including completion events for each node, evidence chain information, blockchain evidence certificates, AI analysis reports, and approval opinions at all levels) into encrypted electronic files in chronological order, generates a unique archive identifier, and sends case closure notifications to the second, third, and fourth-level regulatory platforms and cross-departmental business systems. After receiving notifications through the data exchange gateway, cross-departmental business systems archive case information to their respective internal systems.

[0090] Throughout the process, the transport layer automatically switches communication links based on the network environment: using cellular networks in urban areas, switching to satellite communication in remote mountainous regions, and enabling inter-device relay transmission in localized areas using self-organizing network mode. The terminal management platform monitors the online status, battery level, and storage space of each mobile terminal throughout the process, and provides intelligent matching criteria during task allocation. The data center aggregates and standardizes the storage of all multi-source heterogeneous data, providing data support to regulatory platforms at all levels and cross-departmental business systems through a data sharing service bus. Thus, the illegal sand mining case has completed a closed-loop process, encompassing discovery, investigation, on-site verification, consultation and decision-making, rectification follow-up, and case closure.

[0091] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on its differences from other embodiments. Similar or identical parts between embodiments can be referred to interchangeably. For the apparatus disclosed in the embodiments, since it corresponds to the method disclosed in the embodiments, the description is relatively simple; relevant parts can be referred to the method section.

[0092] The above description of the disclosed embodiments enables those skilled in the art to make or use the invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the invention. Therefore, the invention is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A system supporting intelligent supervision of ecological protection across the entire chain and multiple levels, characterized in that, include: This includes a field monitoring terminal, a transmission layer, a terminal management platform, a data center, a multi-level monitoring platform, and cross-departmental business systems. The field monitoring terminal communicates with the terminal management platform, cross-departmental business systems, data center, and multi-level monitoring platform through the transmission layer, constructing a layered collaborative monitoring network. The field monitoring terminal includes a mobile terminal device and a field sensing device. The mobile terminal device is used to collect multimodal evidence on site and receive task messages issued by the multi-level monitoring platform. Based on the task messages, it performs real-time AI analysis, credible evidence consolidation, and task completion event reporting on the multimodal evidence on site. The field sensing device is used to assist in the collection of ecological and environmental data. The terminal management platform is used for unified identity management, software version control, precise task distribution, and real-time monitoring of the running status of the mobile terminal devices. The multi-level supervision platform is a supervision platform corresponding to multi-level units divided according to regional levels. It is used to initiate ecological protection case generation task messages and / or cross-departmental joint law enforcement tasks according to regional level classification, and to review, consult, supervise and close corresponding ecological protection cases based on task completion events. The cross-departmental business system receives and responds to cross-departmental joint law enforcement tasks, and provides the data center with thematic data from each department through the data exchange gateway and collaborative processing interface; The data center is used to receive multimodal evidence and ecological environment data from the field supervision terminal, ecological protection case-related data from the multi-level supervision platform, and special data from the cross-departmental business system, forming multi-source heterogeneous data, and performing standardized storage, lineage tracing, and cross-system sharing.

2. The system for supporting intelligent supervision of ecological protection at multiple levels across the entire chain, as described in claim 1, is characterized in that... The hardware layer of the mobile terminal device includes a core control module, a multi-source data acquisition module, a positioning and navigation module, a communication transmission module, a display and interaction module, a power management module, and a storage module; the software layer runs on top of the hardware layer and includes a business process execution engine, an incremental synchronization engine, a data fusion processing module, an intelligent navigation analysis module, a data encryption module, a trusted evidence chain construction module, and a protocol adaptation module; the application layer includes a regulatory collection application, an intelligent analysis application, a hierarchical reporting application, a handling feedback application, a trajectory management application, and an offline operation application.

3. The system for supporting intelligent supervision of ecological protection at multiple levels across the entire chain, as described in claim 1, is characterized in that... The transmission layer is configured with a cellular network communication module, a satellite communication module, an ad hoc network communication module, a BeiDou short message module, and an adaptive switching module. The adaptive switching module automatically switches between the cellular network communication module, the satellite communication module, the ad hoc network communication module, and the BeiDou short message module based on the signal strength and availability of the current network environment.

4. A method for supporting intelligent supervision of ecological protection across the entire chain and multiple levels, characterized in that, The system, as described in any one of claims 1-3, which supports intelligent supervision of ecological protection across the entire chain and at multiple levels, comprises the following steps: S1: Any higher-level regulatory platform in the multi-level regulatory platform initiates an ecological protection case and / or a cross-departmental joint law enforcement task, and creates a process instance based on the ecological protection case and / or the cross-departmental joint law enforcement task, generates a task message containing node definitions, preloaded data and flow conditions, and distributes the task message to the field supervision terminal and / or cross-departmental business system and the data center through the task distribution and scheduling module of the terminal management platform; S2: The field monitoring terminal parses the task message and executes the corresponding task, generates a task completion event, and / or the cross-departmental business system responds to the cross-departmental joint law enforcement task and generates special data; S3: The task completion event is reported and forwarded to the corresponding multi-level monitoring platform and data center via the transport layer through the terminal management platform; and / or the topic data is forwarded to the data center through the data exchange gateway and collaborative processing interface; S4: The multi-level monitoring platform or the data center determines the next node and its execution role based on the output data and / or topic data in the task completion event, as well as the flow conditions, and distributes the task message of the next node generated based on the output data, flow conditions and execution role to the field monitoring terminal or the corresponding level of the monitoring platform through the terminal management platform. S5: Repeat steps S2 to S4 until all nodes of the process instance are completed. The highest-level unit's regulatory platform completes the case closure approval, the data center archives the entire process data into electronic case files, and sends case closure notices to the regulatory platforms of each level and the cross-departmental business system.

5. A method for supporting intelligent supervision of ecological protection at multiple levels across the entire chain, as described in claim 4, characterized in that... The task message in S1 also includes node identifiers, required role identifiers, operation form templates, evidence collection strategies, and transfer conditions; the preloaded data includes offline maps of the target area, red line vector data, historical case data, and remote sensing image slices.

6. A method for supporting intelligent supervision of ecological protection at multiple levels across the entire chain, as described in claim 4, characterized in that... When a task message is generated in S1, the pre-loading data packaging service of the multi-level monitoring platform is triggered, generating a spatial data packet. The spatial data packet is then encrypted to construct the task message. The spatial data packet includes raster tiles surrounding the task patch and vector tiles generated from vector data. The specific process is as follows: Using the defined range of the task patch as the boundary, the required map tile level and range are automatically calculated, the corresponding raster tiles are extracted from the map service, and the key vector data within the range are extracted from the vector service to generate vector tiles; After compressing the vector slices, they are encrypted using the national cryptographic SM4 algorithm with a one-time session key to generate encrypted data packets; The encrypted data packet is uploaded to the data center and a secure download link with timeliness and access control is generated. The link is sent to the field monitoring terminal as the attachments.dataPackageUrl field of the task message, along with the task instructions.

7. A method for supporting intelligent supervision of ecological protection at multiple levels across the entire chain, as described in claim 4, characterized in that... S2 utilizes a trusted execution environment and a BeiDou communication module to collect and store trusted evidence on the blockchain. Specifically, when collecting trusted evidence, the trusted execution environment captures BeiDou positioning coordinates and trusted timestamps, binds them with the hash value of the evidence file to generate a digital signature certificate, and sends a fingerprint packet containing the hash value, signature, coordinates, and time to the blockchain evidence storage service via BeiDou short message. After receiving the blockchain transaction receipt, it is associated with the evidence record.

8. A method for supporting intelligent supervision of ecological protection at multiple levels across the entire chain, as described in claim 4, characterized in that... In S3, when the mobile terminal device is without a public network connection, the task completion event is temporarily stored in a local offline queue and an index relationship with the corresponding task message is established. After the network is restored, the mobile terminal automatically uploads the cached task completion event and the evidence formed by trusted verification to the terminal management platform asynchronously.

9. A method for supporting intelligent supervision of ecological protection at multiple levels across the entire chain, as described in claim 4, characterized in that... The flow conditions in S4 include at least one of the following: form field values ​​meet preset thresholds, evidence integrity verification passes, all opinions submitted by the specified roles are submitted, and automatic redirection occurs after timeout. S4 also includes: the monitoring platform or data center of the next higher level unit intelligently matches the optimal execution mobile terminal device in the field monitoring terminal based on the execution role corresponding to the next node and the geographical location constraints determined by the pre-loaded data, combined with the online status and current location of each mobile terminal device.

10. A method for supporting intelligent supervision of ecological protection at multiple levels across the entire chain, as described in claim 4, characterized in that... In S5, the entire process of data archiving into electronic files includes: packaging the task completion events, evidence chain information, blockchain evidence certificates, AI analysis reports, and approval opinions from regulatory platforms at all levels into tamper-proof electronic files in chronological order, and generating a unique archiving identifier.

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