52 results about "Data interoperability" patented technology

The application provides a format standardization method for network security threat intelligence sharing, and relates to the technical field of network security. The method comprises the following steps: constructing a mapping table based on field names and attribute names and outputting a mapping dictionary; reading multiple formats of intelligence data uploaded by users and converting the intelligence data into a two-dimensional table; performing data format checking and conversion based on the mapping relationship, and creating multiple SCO objects; filling the SCO objects into AttackPattern and ObservedData objects for serialization, generating threat intelligence conforming to the STIX format; and outputting a JSONL format file and naming the file according to a hash value. The application realizes the automatic and standardized conversion of multi-source heterogeneous threat intelligence data, improves the data interoperability and sharing efficiency, and enhances the network security defense capability.

The invention, which belongs to the technical field of data processing, relates to an intelligent convenient gravel aggregate transaction system comprising a user interaction layer used for receiving a user instruction and displaying information; the cloud intelligent central layer is in communication connection with the user interaction layer and is used for performing intelligent calculation, data collaboration and safety control; and the full-link system docking layer is in communication connection with the cloud intelligent center layer and is used for realizing data intercommunication with an external service system. Through technology fusion of AI, the block chain and the Internet of Things and whole-process collaborative design, information islands are eliminated, automatic closed loop of the whole transaction process and whole quality traceability are guaranteed, and the transaction risk is reduced.

A multi-dimensional data processing system is disclosed for the automated ingestion, normalization, and computational mapping of project data across spatial, temporal, and regulatory dimensions. The system operates by ingesting diverse datasets—including two-dimensional schematics, three-dimensional data models, cost structures, and workforce logistics—and normalizing them within a unified schema. A dimensional calculations model enables the system to computationally align normalized data with spatial zones, project phases, and operational constraints, structuring it for further computational processing. By integrating this mapped data within a coordinated digital environment, the system applies task sequencing and resource allocation algorithms, generating optimized project plans that support complex, multi-dimensional data interoperability. The structured data is further configured for display through an interactive visualization interface, allowing computational resources to facilitate real-time analysis and adaptive data-driven project management.

A system for real-time tracking of the performance and maintenance history of real estate assets, consisting of: a) a plurality of embedded sensor nodes distributed across structural, environmental and utility subsystems of a property asset, each sensor node configured to acquire localized telemetry data including at least one of the following: strain, vibration, temperature, humidity, gas concentration, occupancy, energy consumption or acoustic signal; b) a Real Estate Performance Tracking Unit (REPTU) comprising a microcontroller with embedded firmware, a real-time operating system (RTOS), a sensor interface module, non-volatile memory and a wireless communication transceiver, wherein the REPTU is operationally coupled with the sensor nodes to query, aggregate and preprocess the telemetry data; c) an edge inferencing module embedded in the REPTU, configured to perform localized anomaly detection using threshold filters and machine learning models trained on historical performance baselines, wherein the edge inferencing module generates event triggers when it detects a deviation from the nominal operating patterns; d) a secure technician authentication subsystem comprising at least a fingerprint scanner, an NFC identity tag reader or a biometric voice module integrated into the REPTU, the subsystem being configured to validate the identity of personnel during maintenance interactions; e) a maintenance ledger engine that is communicatively coupled to the REPTU and configured to generate cryptographically anchored entries representing maintenance events, each entry containing a timestamp, the technician's identity, the plant component ID, the service type, and diagnostic metadata; f) a cloud analytics platform comprising an engine for storing time-series data, an algorithm module for predictive maintenance and an interface layer for stakeholder access, wherein the platform is configured to receive encrypted telemetry and event data from the REPTU, perform long-term deterioration modeling and output maintenance plans and compliance reports; g) a role-based access control unit that enables differentiated data visibility and operating permissions for at least four categories of stakeholders: property owners, facility managers, certified technicians and regulatory authorities; h) an API interface unit configured for the integration of the system with third-party Building Information Modeling (BIM) platforms, municipal compliance registers and tenant-oriented applications, thus supporting cross-system data interoperability and contextual traceability.

The invention provides a management method and system for automatically generating standardized OT data based on a large model. The method comprises the steps that S1, an OT metadata ontology library is constructed into an OT term vector space according to standard regularized metadata meeting preset requirements; s2, mapping a natural language instruction to an OT term vector space through a large model to obtain standard structured OT data; and S3, carrying out quality verification and enhancement processing on the standard structured OT data. According to the method, the data consistency can be improved, the naming conflict in the integration process is solved through the unified cloud standard specification, and the data interoperability is remarkably enhanced; the efficiency revolution can be implemented, the data cleaning workload is effectively reduced, the qualitative change from a project system to productization is realized from traditional manpower integration, and the basic support of high-quality training data is provided for large-scale industrial deployment.

The invention provides a dual-carbon transaction service platform with a transaction information accurate matching function, and relates to the technical field of carbon transactions, and the dual-carbon transaction service platform comprises a sequentially nested verification chain formed by a token issuing unit, an area pre-detection unit, a time window response unit, a data interoperation unit, a manual verification unit and an electronic filing unit which run in sequence. The platform carries the mapping information by using the digital token, the category code corresponds to the carbon quota category, the aging state code is bound with the effective time period, and the regional feature code is associated with the regional emission factor data. During verification, region consistency is verified through an algorithm, period effectiveness is judged through system time, kernel exposure is triggered through a data matching rule, finally, an authenticator carries out visual comparison and applies digital marks, and whole-course data is recorded and evidence-stored through an electronic filing unit.

The invention discloses a cross-regional data intercommunication method, device, equipment and medium for the electric power Internet of Things, and the method comprises the steps: carrying out the layer-by-layer splitting of a target database table according to a preset multi-level business logic, obtaining a plurality of sub-tables and a sub-table splitting list, and carrying out the layer-by-layer splitting of a plurality of sub-tables according to the sub-table splitting list, sequentially generating a sub-table subordinate hierarchy list and a sub-table dependency list; monitoring the arrival state of each sub-table transmitted to the target safety area so as to calculate the proportion of the sub-tables arriving in the waiting period; if the sub-table proportion is greater than a preset threshold value, judging whether each arrived sub-table meets an independent processing condition or not according to a sub-table dependency list; and according to the subordinate hierarchical list of the sub-tables, merging the sub-tables capable of being processed independently to obtain a plurality of new database tables, and executing business processing of the power internet of things according to the new database tables. According to the invention, the problem of slow service processing response speed for waiting for complete data due to asynchronous arrival of the data in the data intercommunication process can be solved.

The invention discloses an intelligent garden data management method and system based on cloud computing, and relates to the crossing field of cloud computing technologies, and the method comprises the steps: collecting and preprocessing multi-dimensional garden data through a distributed terminal, and adding classification and space-time labels; using a hybrid cloud architecture to realize data security storage and collaborative management, and establishing a classification index; a deep learning model is trained based on historical data, an analysis result is output, a personalized maintenance scheme is generated, and dynamic optimization is performed through real-time feedback; secure data intercommunication between the platform and various terminals is realized by means of a multi-terminal collaborative interaction module, and data security is guaranteed by adopting encrypted transmission and authority control; monitoring and encryption protection are implemented in the whole process, a traceable log is generated and filed regularly, and continuous iterative upgrading is performed in combination with a model effect. The method has the advantages that based on the hybrid cloud architecture and distributed data processing, garden management is promoted to be transformed to data intelligent driving through full-process closed-loop optimization, and the management efficiency and the refinement level are greatly improved.

This invention relates to a multi-dimensional characteristic monitoring system for power distribution cables. The system includes a snap-on integrated sensor, partial discharge / fault location / temperature rise circulating current monitoring equipment, shared hardware equipment, and a system fusion management device. The integrated sensor synchronously collects partial discharge, fault traveling wave, temperature, and circulating current signals and outputs them uniformly. The three monitoring devices receive signals through a unified interface and analyze them independently. The shared hardware provides unified power supply, communication, and GPS / BeiDou dual-mode clock synchronization. The system fusion management device performs multi-dimensional data fusion analysis and collaborative early warning. All devices achieve time synchronization, resource sharing, and data interoperability. The fault location equipment integrates multi-source abnormal data to complete fault prediction and accurate location. The fusion management device mines parameter linkage relationships to identify complex hidden dangers. This system achieves integrated collaborative monitoring of multi-dimensional characteristics of power distribution cables, improves the accuracy of monitoring and fault tracing, reduces equipment and maintenance costs, and is suitable for the operation and maintenance needs of 6-35kV power distribution network cables.

A disposable blood typing device is provided for determining ABO and RhD blood types using binary logic-based interpretation. The device includes a sample application area, test zones containing dried anti-A, anti-B, and optionally anti-D reagents, and a result output mechanism configured to display a binary outcome for each antigen. Binary values are assigned based on visible agglutination reactions, which are processed through a logical mapping structure—such as a printed chart, mechanical indicator, or electronic logic circuit—to determine the corresponding blood type. The device may incorporate visual indicators, control regions, waste containment, and optional digital components for electronic display or wireless data transmission. Designed for single use, the system facilitates self-administered or point-of-care testing without requiring clinical expertise, and may be integrated with mobile applications or health records systems. The invention enhances test accuracy, usability, and data interoperability while minimizing contamination risk and interpretation error.

The proposed useful solution is a wallless hospital system (10) configured to acquire, process, analyze, update status and coordinate medical data in real time, including: data source module (21), wallless hospital system module (31), medical equipment infrastructure and terminal module (41). The solution is a digital health system architecture capable of data interoperability, real-time data processing, medical resource coordination, terminal management, medical transport support and remote healthcare service delivery within the same platform.

This invention relates to the field of enterprise operation management technology, specifically to a digital management and control system and method for the entire enterprise operation chain based on intelligent collaboration. The system's end-to-end intelligent collaborative management and control module, combined with a constructed operation data platform, utilizes a rule engine and machine learning algorithms to initiate customized operation process templates, achieving automated process flow and cross-departmental collaboration. It automatically pushes pending tasks and triggers alerts and intercepts abnormal nodes. This invention achieves data interoperability across multiple enterprise operation modules through multi-source data adaptive fusion, solving the problems of fragmented and cumbersome data integration in traditional operations, providing solid data support for end-to-end management and collaboration. Furthermore, through the end-to-end intelligent collaborative mechanism and customized templates, it automates the operation process, reduces manual intervention, and effectively shortens the process processing cycle. It also supports multi-industry and multi-scenario adaptation, meeting the personalized operational needs of enterprises of different sizes and types.

The invention discloses a chronic disease whole-process digital medical treatment cloud service and medical insurance real-time supervision unified large model. The model comprises a technical architecture and a combination engine; the technical architecture comprises an infrastructure layer, a data base layer, a core technology layer, a business application layer and an ecological collaboration layer. The combination engine comprises federated learning and block chain combination, digital twinning and AI and big data combination, edge calculation and 5G and Internet of Things combination, NLP and knowledge graph and AR combination, quantum encryption and zero knowledge proof combination, and Web3.0 and DAO combination. Through cross-layer cooperation of a five-layer technical architecture and six technology combination engines, balance between data sharing and privacy protection is realized, cross-mechanism data islands are broken, data security compliance is guaranteed through technologies such as federal learning block chain quantum encryption, and the contradiction between data intercommunication and privacy protection in the prior art is solved; according to the digital twinborn AI big data combination, a full-process risk control system is constructed, and risk pre-prediction in-event intervention and post-event optimization are realized.

The invention provides a lung function evaluation and training integrated processing method and device and electronic equipment. The method comprises the steps that a mode triggering instruction is acquired; if the mode trigger instruction is an evaluation mode trigger instruction, determining a lung function index according to the collected turbine pulse signal, and updating the lung function index to a training difficulty adjustment document corresponding to the evaluation object; if the mode trigger instruction is a training mode trigger instruction, loading a preset training game scene, and adjusting a target training difficulty coefficient of the preset training game scene according to a lung function index read from a training difficulty adjustment document corresponding to the training object, and mapping the collected instantaneous flow corresponding to the training object into a game control parameter in the target training game scene. Lung function evaluation and training are integrated on one machine, and the evaluation result is used as the setting basis of the training content, so that data intercommunication is realized, the training effect is improved, and the diagnosis and treatment cost is reduced.

The invention provides a format standardization method for network security threat intelligence sharing, and relates to the technical field of network security. The method comprises the following steps: constructing a mapping table based on field names and attribute names and outputting a mapping dictionary; reading multiple formats of information data uploaded by a user, and converting the information data into a two-dimensional table; performing data format check and conversion based on the mapping relationship, and creating a plurality of SCO objects; the AttackPattern object and the ObservedData object are filled with the SCO object to be serialized, and threat intelligence conforming to the STIX format is generated; and outputting a file in a JSONL format and naming the file according to a hash value. According to the method, automatic and standardized conversion of the multi-source heterogeneous threat intelligence data is realized, the data interoperability and sharing efficiency are improved, and the network security defense capability is enhanced.

This application relates to the field of cloud computing technology, and provides an intelligent social governance method and system based on data interoperability. The method includes: collecting and obtaining a service data set; integrating and updating the service data set to obtain integrated and updated data; privately identifying the integrated and updated data, classifying the data according to the private identification results, and obtaining a public cloud data set and a private cloud data set; forming a hybrid cloud set by combining the public cloud data set and the private cloud data set; matching access permissions through authentication information; calling data from the hybrid cloud set according to the access permissions, and constructing a temporary data model based on the call results; inputting demand information into the temporary data model, and outputting feedback results. This method can solve the technical problems of low intelligence level and inaccurate intelligent calling of government data in the data application process.

The invention relates to the technical field of behavior recognition, in particular to a crocodile stress intelligent evaluation system based on behavior characteristics, which comprises a time sequence behavior collection module, an interval dynamic analysis module, a feeding fluctuation collaboration module, a trend grading judgment module and a stress alarm linkage module. According to the method, through multi-dimensional structured recombination of behavior characteristic data, deep cooperation of a feeding response time sequence, environment change and a behavior link is achieved, unified archiving of the total feeding amount, interval change and trend classification is achieved, the accuracy of stress state judgment is improved, links such as periodic behavior comparison, fluctuation trend classification and label output penetrate through the whole process, and the accuracy of stress state judgment is improved. Whole-process tracing and fine anomaly analysis of a crocodile stress link are supported, coherence and consistency of evaluation output are guaranteed through automatically generated trend classification and grade labels, isolated judgment limitation is eliminated through data intercommunication, integrated triggering of grading, alarming and displaying is achieved, and the intelligent stress evaluation requirement for continuous period and accurate quantification under dynamic breeding management is met.

Data interoperability is to be ensured when support modules in accordance with work procedures of each medical or nursing care institution and each occupation is developed, and electronic health record elements developed / corrected in a hospital are registered in an electronic health record element database, thereby enabling the electronic health record elements to be shared with other medical / nursing care institutions while backing up the electronic health record elements in the hospital. In an electronic health record system including a combination of support software (support modules) by occupation that supports creation of documents for each of a plurality of occupations in medical / nursing care, the electronic health record system enables documents created by the support modules to be referenced between any combination of the support modules.

This invention relates to airspace coding, specifically to a multi-level unified coding system for low-altitude airspace. The system includes a coding hierarchy architecture module, which designs and constructs an eight-level coding architecture from the national level to the building level; a coding inheritance and short code setting module, which designs inheritance logic to achieve reversible traceability of codes and designs short code rules to improve coding efficiency; a coding fusion module, which combines a planar coordinate framework and altitude coding to achieve integrated coding of planar and altitude spaces; a coding splicing and storage module, which designs coding splicing rules, file naming conventions, directory hierarchy structures, and unified attribute fields to facilitate system storage, parsing, front-end loading, and spatial indexing; and a multi-standard compatibility module, which establishes compatibility conversion rules between grid data and various existing standards to ensure seamless integration with existing industry data systems. The technical solution provided by this invention overcomes the shortcomings of achieving accurate low-altitude airspace division, efficient traceability, and cross-industry data interoperability.

The invention provides a garment file generation method and device, and the method can respond to a generation instruction, complete a topological structure based on a target garment file, generate a plurality of geometric regions based on the topological structure, and generate a standard garment file which can be imported into three-dimensional modeling software through the geometric regions. According to the scheme provided by the invention, the format of the clothing file in the non-standard format can be fully automatically converted into the standard clothing data, so that the clothing file can be correctly imported and processed by the three-dimensional modeling software, the input of the three-dimensional modeling software is enriched, the data interoperability between different software is enhanced, the error risk is reduced, and the user experience is improved. The whole process can be fully automatically completed, manual intervention is not needed, the file processing efficiency is greatly improved, and the method has important practical significance in the field of costume design.

The invention discloses a vehicle troubleshooting method under traffic gate distribution and electronic equipment, and relates to the technical field of intelligent traffic management, and the method comprises the steps: constructing a multi-gate collaborative network, collecting vehicle basic data, and constructing a cross-scene global data pool; performing stage processing on the cross-scene global data pool to determine a target vehicle; splicing the vehicle space-time trajectory to generate a cross-scene complete driving map; analyzing and acquiring a cross-scene violation behavior recognition result according to the cross-scene linkage strategy; and triggering a cross-scene early warning instruction and predicting a potential pass gate to carry out cross-scene early warning. The technical problems of single-gate data isolation, insufficient multi-gate collaboration and weak strategy linkage capability of a traditional traffic gate are solved, and the technical effects of data intercommunication and strategy linkage among a plurality of traffic gates, formation of a closed-loop troubleshooting system, and improvement of the accuracy and efficiency of vehicle management and control under a complex traffic network are achieved.

The invention relates to the technical field of intelligent campus management, and particularly discloses an intelligent campus safety comprehensive management system platform which integrates ten subsystems, realizes data intercommunication based on artificial intelligence, biological recognition and Internet of Things technologies, has multiple core functions of equipment management, attendance management and the like, and is high in safety and high in reliability. And a data cockpit is arranged to realize multi-dimensional data integration display. Each subsystem covers scenes such as campus safety early warning, attendance passing, visitor management, new welcome sign-in, classroom roll call, leave passing, campus repair, student care, video call, canteen warehouse-in and warehouse-out management and the like, data is acquired and intelligently analyzed and processed through intelligent equipment, intelligence, refinement and security of campus management are realized, information islands are broken, and the management efficiency is improved. The management efficiency is improved, convenient services are provided for teachers, students and parents, and data support is provided for school decision making.

The invention relates to the technical field of medical informatization and emergency medicine, in particular to an emergency cross-hospital data intercommunication method and system. The method comprises the following steps: acquiring core data, marking a timestamp and binding a terminal identifier, and generating an initial acquisition data set; processing the initial acquisition data set to form an EDXP data packet; in response to a cross-hospital referral event, desensitizing, compressing and encrypting the EDXP data packet, carrying a data integrity check code, and transmitting the EDXP data packet to a target receiving terminal; after the target receiving terminal receives the data, data integrity verification is completed, the data is analyzed and extracted, and cross-hospital referral data intercommunication is completed. The EDXP data packet is of a three-layer structure design of'necessary fields + selectable fields + disease type exclusive extension fields', only structured data which is classified according to disease types and necessary for emergency treatment is packaged, redundant data is kicked out, and the problems that existing transmission redundancy is low in efficiency and heterogeneous system butt joint is tedious are solved.

This invention discloses a high-rise building fire protection system, belonging to the field of fire protection communication technology. It includes: a controller for coordinating and controlling the operation of the entire communication device; and a communication protocol conversion module connected to the controller for converting the target communication protocol used by the fire protection equipment into a preset unified communication protocol. By setting up the communication protocol conversion module and the data format conversion module, fire protection equipment from different manufacturers and with different communication protocols, such as smoke detectors, heat detectors, and manual alarm buttons, can be uniformly converted into a preset universal protocol and JSON format. This completely solves the problem of information silos among various devices in traditional fire protection systems. Simultaneously, the edge computing gateway and data preprocessing unit perform filtering, noise reduction, and invalid data removal near the data source, reducing the computational burden on the controller and significantly improving the system's real-time response capability and data quality. This achieves unified access and data interoperability for multi-protocol heterogeneous fire protection equipment.

This invention discloses a dynamic planning method and system for emergency evacuation routes in smart buildings. The method includes the following steps: S1: Multi-source dynamic data acquisition and preprocessing. This invention overcomes the limitations of ideal static modeling by constructing three dynamic models, employing an improved dynamic weighted algorithm and a real-time optimization mechanism. It accurately adapts to dynamic disasters and personnel factors, improving the robustness, real-time performance, and adaptability of route planning, ensuring evacuation safety. Furthermore, by building a standardized data platform, it achieves data interoperability and format unification across multiple systems, establishing a linkage channel between planning results and execution, and connecting relevant departments such as property management and fire protection. This breaks down data silos and cross-system collaboration barriers, resolving the disconnect between "planning changes and guidance not being updated," achieving seamless collaboration between planning, execution, and rescue, significantly improving emergency evacuation efficiency, and meeting the core needs of smart building emergency management.

This invention discloses a method for early warning supervision and full-process control of power business based on multi-source data collaboration, belonging to the field of digital operation and control technology of power systems. The method constructs a three-in-one collaborative architecture of "data-task-responsibility," achieving multi-source heterogeneous data fusion and government-enterprise data interoperability through unified data elements and a lightweight API gateway. It employs a dual-drive approach of organizational tree algorithm and rule engine to automatically decompose business tasks and accurately map four-level responsibility nodes (city-district-station-person). It relies on a configurable supervision rule base and streaming computing to achieve real-time identification and hierarchical early warning of business anomalies, and combines a dual-channel multimodal reach mechanism to improve response efficiency. A full-link closed-loop control module is constructed, using a closed-loop verification algorithm to quantitatively evaluate the supervision effect and drive dynamic optimization of control rules. This invention forms a complete full-process closed-loop control technology chain, effectively solving industry pain points such as data silos, ambiguous responsibilities, ineffective supervision, and missing closed loops in power business.

This application discloses a data mapping method, apparatus, device, storage medium, and product, relating to the field of data processing technology. The data mapping method includes: responding to a data mapping request, determining the data to be mapped and target data source information corresponding to the data mapping request; converting the data to be mapped into intermediate data conforming to an intermediate data layer format; and mapping the intermediate data into target data conforming to the target data source information. Because this application first converts the data to be mapped into intermediate data conforming to an intermediate data layer format, and then maps the intermediate data into target data conforming to the target data source information, compared to existing methods that rely on manual configuration by technicians for data conversion between different data sources, this application's method can improve the efficiency of data conversion between different data sources and increase the data interoperability between various data sources.

This invention discloses a cloud-edge-device collaborative data processing and secure transmission method for coal mine AI video monitoring, belonging to the field of coal mine safety monitoring data processing technology. It includes: S1: The mine-side edge computing terminal is responsible for real-time video stream acquisition and analysis, only extracting video clips related to alarm events; S2: The edge layer connects to the provincial / municipal / county-level regulatory cloud platform via 4G / 5G / NB-IoT networks, using an encrypted transmission protocol to upload alarm clips, device status data, and statistical reports; S3: The mine-side edge computing terminal is equipped with a domestically produced chip, and passes security protocol authentication when interfacing with the provincial / municipal / county-level regulatory cloud platform; S4: A collaborative mode of local autonomy and cloud-based supervision is achieved. This invention solves the problems of high transmission latency, data leakage risks from full uploads, and difficulties in data interoperability in existing systems. This invention reduces network bandwidth usage by 85%, achieves transmission latency ≤500ms, eliminates sensitive information leakage, and improves regulatory efficiency by 70%.

This invention relates to a server testing method, apparatus, electronic device, and storage medium. The server testing method includes: acquiring a test script with modified code; parsing the test script into a task queue; during the execution of test tasks according to the preset task queue, acquiring underlying hardware benchmark data of the server under test through a low-level management interface; querying upper-level hardware test data corresponding to the underlying hardware benchmark data from the server under test through an upper-level management interface; and performing a consistency check on the underlying hardware benchmark data and the upper-level hardware test data to obtain a check result. The embodiments of this application can achieve cross-module data interoperability, solving the problems of data isolation and the need for manual aggregation in the prior art, and improving testing efficiency.

This invention relates to the field of firefighting robot technology, and discloses a fully autonomous intelligent firefighting robot based on AI vision and multimodal perception. Its features include a multimodal perception module, an AI edge computing decision-making module, a fully autonomous execution module, a hierarchical linkage communication module, a cloud scheduling module, and a power management module. These modules achieve data interoperability and command coordination through an industrial-grade CAN bus protocol. The invention also discloses a firefighting method. This invention has the following main beneficial technical effects: high perception accuracy and comprehensive coverage; accurate AI recognition and strong anti-interference capability; precise fire extinguishing and high efficiency; fully autonomous closed-loop operation and unattended operation; strong environmental adaptability and wide scenario adaptation; applicable to firefighting in new energy charging pile scenarios, multi-machine collaborative firefighting in underground parking lot oil fire disposal, and cross-platform linkage firefighting in energy storage power station level 3 fires, etc. It features hierarchical linkage and strong collaboration; data support and iterative optimization.