180 results about "Integrated management system" patented technology

The invention discloses a low-altitude integrated management system based on a grid digital twin model and an intelligent algorithm, and relates to the technical field of low-altitude aircrafts. The method comprises the following steps: multi-source sensing data fusion and grid coding are carried out, and an airspace environment space-time database is constructed; constructing an airspace environment space-time database to carry out three-dimensional subdivision on the airspace; generating a multi-scale grid twinborn body, and associating a corresponding attribute for each level of grid according to a management requirement; generating an airspace risk thermodynamic diagram in the future 5-30 minutes; establishing a grid state change triggering rule; and generating a multi-target optimal path set by taking the grid navigation cost as a weight. According to the invention, by combining the real-time operation data of the low-altitude aircraft, the meteorological environment and other data with the artificial intelligence algorithm and the navigation rule base, the airspace traffic flow is analyzed, the flight plan is optimized, the flight route is intelligently distributed, the automatic route setting of any two points is realized, and the response speed of the low-altitude flight service system and the processing capability of various flight data are improved.

The invention discloses an operation and maintenance management method of an integrated management system, and belongs to the technical field of operation and maintenance of systems. The invention discloses an operation and maintenance management method of an integrated management system, and aims to solve the problems of data islands, slow fault positioning, experience dependence on strategies and the like in traditional operation and maintenance. The method comprises the following nine core processes: dynamically accessing multi-source heterogeneous data and carrying out standardization processing; constructing a hierarchical time series data storage structure; generating a modeling dependency and fault path of the equipment knowledge graph; adopting a three-layer anomaly detection model to identify anomaly; fault root causes are positioned through causal reasoning and a Bayesian network; generating an energy efficiency strategy based on reinforcement learning and multi-objective optimization; triggering the self-healing workflow to execute operation; testing the robustness of the system in a sandbox environment; and iteratively updating the knowledge graph and the AI model to form a closed loop. According to the method, automation and intelligentization of the whole operation and maintenance process are realized, and the system availability and the energy efficiency management level are improved.

The invention relates to the technical field of business financial management and control, and discloses a business financial integrated management system. A service activity feature extraction module of the system collects a service end operation behavior data stream, extracts service activity time sequence features, calculates a service operation frequency fluctuation range, and generates a service activity feature vector; the service state judgment module is used for matching a preset service activity feature library according to the service activity feature vector, identifying an abnormal service operation node, calculating a service operation deviation degree and generating a service state judgment index; the financial risk conduction analysis module obtains a business state judgment index, analyzes an association path of a business node and a financial event, evaluates a financial risk conduction probability, and generates a risk conduction evaluation result; and the resource collaborative optimization module analyzes a business and financial resource configuration deviation based on a risk conduction evaluation result, calculates a resource collaborative optimization priority and generates a resource collaborative adjustment strategy.

The invention provides an enterprise financial comprehensive management system based on an intelligent technology, and relates to the technical field of financial management. The accounting intelligent subsystem is used for acquiring financial data, performing semantic analysis and conversion on the financial data through a preset rule and a multi-stage data mapping mechanism, generating a standardized accounting service instruction and issuing the standardized accounting service instruction to an automatic process engine, thereby automatically generating a financial document meeting an accounting criterion; the financial management subsystem is used for integrally realizing execution of backlog management, compliance guidance manual query and financial data structured storage according to a preset standardized process; and the business service subsystem is used for providing tax-related business service, asset management service, fund management service and operation management service processing and guidance for enterprises through modular design. The invention aims to improve the operation efficiency, reduce the error rate, break information islands, realize effective integration and utilization of resources, and provide powerful support for decision making of enterprises.

The invention relates to the technical field of power plant data processing, in particular to a virtual power plant integrated management system, which comprises a data acquisition module for acquiring voltage fluctuation characteristics and power climbing rate parameters of energy equipment in real time; the equipment fingerprint database construction module generates an equipment fingerprint code comprising a dynamic response time-lag coefficient and an adjustment margin quantized value; the dynamic clustering module is used for dividing simulation sub-models of regional topology constraints based on the geographic position of the equipment and a power regulation threshold value; the multi-time scale prediction module is used for generating source load prediction data by fusing meteorological parameters through a space-time diagram convolutional network; the digital twin simulation module outputs an energy storage charging and discharging threshold value and a demand response priority strategy; and the cross-domain collaboration module adopts a double-chain block chain architecture to realize security verification and data integrity binding of federated learning feature parameters. According to the invention, through equipment characteristic digital modeling, regional co-simulation and multi-energy flow coupling regulation and control, the resource aggregation precision and response real-time performance in a new energy strong fluctuation scene are improved.

The invention discloses a cross-platform job resource integrated management system and method based on the Internet, and belongs to the technical field of job resource management. A baseline model is constructed, and whether resource consumption data is abnormal or not is judged; extracting an abnormal resource type, obtaining a corresponding resource demand, identifying tasks having resource competition with the current job, and obtaining an abnormal competition task set; defining job attributes, determining a resource association relationship between tasks, and constructing an abnormal competition task relationship graph; determining the latest execution time of each competition task; analyzing the maximum bearing capacity of the current resource meeting all task execution under the conflict-free condition; calculating the quantity of resources needing to be added; subtracting the actually added resource quantity from the resource quantity needing to be added to obtain a vacant resource quantity; when personnel resources are vacant, the competition tasks are sorted, and the competition tasks are preferentially allocated to high-priority exclusive jobs in combination with the maximum bearing capacity; when the device resources are vacant, idle special devices are preferentially allocated for exclusive jobs.

The invention relates to the technical field of enterprise data management, in particular to a lightweight-based enterprise data dynamic integrated management system, which is characterized in that an acquisition module is used for deploying edge computing nodes, receiving multi-source heterogeneous information streams from manufacturing execution systems and equipment logs, dynamically analyzing and standardizing the information streams, and adding metadata tags; uploading is carried out in a batch processing mode; the map construction module is used for constructing a semiconductor blood relationship map by taking the standardized key information as a blood relationship clue; a graph database is used for efficient storage, and a RESTful API interface is configured to support batch import, so that data storage and relevance expression are more flexible and efficient; the prediction module performs reasoning on the atlas by adopting a graph neural network to generate predictive risk distribution, and a correlation analysis set generated by the prediction module is stored back to the atlas in a structured manner; by introducing a multi-thread concurrent write-in and lock mechanism, the atlas supports complex combination query based on a Cypher query language, and supports multi-level and traceability query.

The invention discloses a BIM building intelligent integrated management system based on Internet of Things control, and relates to the technical field of networking technology and building intelligent management, and the system comprises a sensing layer, a transmission layer, a platform layer and an application layer. The sensing layer comprises a multi-source heterogeneous sensor cluster and is divided into an environment monitoring unit, an equipment state acquisition unit, a personnel positioning unit and a structure health monitoring unit, and each unit is provided with a corresponding sensor; the transmission layer adopts a LoRaWAN and 5G fusion architecture and comprises an edge computing gateway, a TSN switch and a data security encryption unit, and the gateway can perform frequency domain analysis and the like; the platform layer is based on micro-service and is provided with a multi-source data fusion engine and a BIM model dynamic updating module; the application layer provides an equipment fault prediction module, an energy optimization module and a safety risk early warning module, and all the modules adopt corresponding algorithms. According to the invention, a hierarchical collaborative architecture is constructed, a multi-source sensor, a heterogeneous network and the like are integrated, deep integration of multi-dimensional management of a building is realized, and the problems of subsystem independence and data obstruction of a traditional system are solved.

The invention discloses a comprehensive management system for intelligent power distribution, and the system comprises a sensing layer which is provided with a plurality of sensors, the sensors are disposed on power distribution equipment, and are used for collecting the operation data of a power distribution system in real time, and the operation data comprise a current I, a voltage U, a power P, an equipment temperature T, a power factor cos phi, and an insulation resistance R; the transmission layer is used for transmitting the operation data to a data layer; the data layer is used for preprocessing the operation data to generate standardized data, and preprocessing comprises data cleaning and normalization conversion; and the application layer comprises a fault early warning module, a predictive maintenance module, an energy consumption analysis module and a remote control module, and the application layer realizes collaborative management by calling the standardized data. Multi-dimensional data fusion, a dynamic intelligent algorithm and a module interaction mechanism are introduced, and full-process intelligence of power distribution management is achieved.

The present application relates to the technical field of project management, and discloses an integrated management system and method for a large-scale project. The system comprises: a budget subsystem, used for obtaining target project information, and carrying out multi-level classification processing and coding processing on the target project information to obtain budget codes; a contract management subsystem, used for decomposing the target project information, generating a plurality of project contracts and associating the plurality of project contracts with the budget codes; a construction management and control subsystem, used for splitting the project contracts to obtain unit projects, encoding the unit projects to obtain unit codes, and associating quantity data corresponding to the unit projects with a preset construction drawing list; and a joint control subsystem, used for carrying out joint control on the project cost, the project progress and the project quality on the basis of a measurement visa so as to carry out integrated management on a large-scale project. The present application realizes integrated management of large-scale project construction.

The invention discloses a fuel cell heat and humidity integrated management system and an evaporation phase change cooling method thereof, and belongs to the technical field of fuel cell heat management. The system comprises an air cooling and humidifying module, a heat dissipation, evaporation and phase change module and a water recovery and distribution module. The air cooling and humidifying module distributes compressed air to an ultrasonic atomizing nozzle to be mixed with atomized water, and cooling and humidifying of main path air are achieved. The heat dissipation evaporation phase change module sprays atomized water to the surfaces of ATS radiator fins, and heat dissipation is enhanced through evaporation phase change. And the water recovery and distribution module recovers moisture in wet air at an electric pile outlet through condensation and intelligently distributes the moisture to the two atomization systems. A traditional intercooler and a traditional membrane humidifier are omitted, the air flow resistance is reduced by 15-20%, the heat dissipation efficiency is improved by 10% or above, the weight of the system is reduced by 8%, closed-loop utilization of reaction water is achieved, and the system is particularly suitable for fuel cell systems of mobile carriers such as vehicles and unmanned aerial vehicles.

The invention discloses an integrated management system based on an artificial intelligence computing platform, and relates to the technical field of integrated management, and the system comprises the following steps: monitoring and obtaining resources, and obtaining heterogeneous computing resource state information; performing resource health assessment according to the heterogeneous computing resource state information to obtain a resource availability index; performing task resource matching according to the resource availability index to obtain a resource allocation scheme; performing calculation task scheduling according to the resource allocation scheme to obtain a task execution sequence; performing task execution monitoring according to the task execution sequence to obtain a task real-time execution state; and performing resource adjustment according to the task real-time execution state to obtain a resource allocation adjustment result. According to the method, the matching accuracy and the resource utilization rate are improved, resource waste caused by single resource bottleneck is avoided, and the load balance and the overall operation stability of each node are improved.

The invention discloses a safety production standardized comprehensive management system and method, and relates to the technical field of safety production management, the system comprises the following components: a data acquisition module, a data preprocessing module, a model construction and training module, a prediction analysis module and a maintenance management module; according to the method, the time sequence data in the full life cycle of the equipment are continuously collected, the time sequence data comprise key parameters such as operation duration, start-stop times and maintenance records, the improved LSTM neural network is utilized to construct the equipment safety life prediction model, and the model can not only predict the overall life of the equipment, but also can predict the service life of the equipment. The method can accurately predict the residual safe use cycle of the easily-worn part, the accurate prediction capability enables an enterprise to plan a maintenance plan in advance, production interruption and safety accidents caused by sudden equipment faults are avoided, and the accuracy and foresight of equipment safety management are remarkably improved.

The invention relates to the technical field of intelligent heat supply management, in particular to an intelligent heat supply integrated management system based on multi-source data driving, which comprises a multi-source data acquisition module for acquiring multi-source data of each target heat supply area of a heat supply network; the key delay time extraction module is used for acquiring the adjustment condition of the heat supply control data to generate key delay time; the sensitive parameter identification module is used for determining a heat supply adjustment sensitive parameter and a heat supply response sensitive parameter based on the key delay time; the characteristic interval analysis module is used for determining a change trend characteristic interval based on a pre-change trend corresponding to the change characteristic interval; the pre-adjustment time determining module is used for determining a plurality of pre-adjustment times based on the change trend characteristic interval; and the pre-adjustment time calling module is used for acquiring the real-time multi-source data of the heat supply network to determine whether pre-adjustment is started or not, and determining the pre-adjustment time. The response speed and the adjusting precision of the heat supply system are improved.

The invention relates to the technical field of data processing, in particular to an intelligent data storage and knowledge base integrated management system enabling an AI large model. The system comprises a data hierarchical storage module, a hybrid index construction module, an integrated knowledge base establishment module and an integrated knowledge base index module. Firstly, a data value score is calculated based on a multi-dimensional evaluation index, and a dynamic storage grading mechanism is established; secondly, a three-layer mixed index structure is adopted to index different types of hierarchical data, storage positions are adjusted, and a multi-source heterogeneous data storage layer is obtained; fusing the entity relationship to generate a triple, constructing a dynamic knowledge graph, and introducing an incremental updating mechanism to update in real time to obtain an integrated knowledge base; and finally, inputting a natural language, performing semantic analysis, obtaining a multi-modal index result by adopting a mixed index, and establishing an integrated knowledge base self-diagnosis mechanism. According to the method, the multi-source heterogeneous data is analyzed and processed, so that the purposes of data storage and knowledge base integrated management are achieved.

The invention discloses an intelligent integrated management system for shuttle vehicles, and belongs to the technical field of shuttle vehicles, and the system comprises S1, a vehicle scheduling module which receives vehicle state information and schedules vehicles according to task priorities; s2, a task distribution module, wherein the task distribution module receives warehouse order tasks and distributes the tasks to corresponding shuttle vehicles; s3, a path planning module, wherein the step S3 comprises obtaining shelf position information and planning an optimal driving path; and S4, an equipment monitoring module. The system can plan the optimal path in real time and reduce the empty driving time and waiting time of the shuttle vehicles, so that the transportation efficiency is greatly improved, the system can improve the order processing speed, remarkably shorten the cargo turnover period, support simultaneous operation of multiple shuttle vehicles, realize parallel processing of tasks, further improve the overall efficiency of warehousing operation, and reduce the labor intensity of workers in peak hours. The system can flexibly deploy vehicles and ensure that orders are processed in time.

The invention relates to the technical field of intelligent manufacturing and industrial automation, and discloses an automatic production and marketing integrated management system and method, and the system comprises a state modeling module which is used for constructing and updating a dynamic state vector representing the current state of a production and marketing system in real time; the prediction optimization decision module is used for carrying out rolling optimization by adopting a model prediction control method based on the dynamic state vector so as to generate an optimal decision sequence aiming at minimizing a preset comprehensive cost function; and the decision execution module is used for extracting and executing a first decision from the optimal decision sequence, and triggering the state modeling module to update based on the real state of the production and marketing system at the next decision moment so as to form closed-loop control. A model prediction control method is adopted, and a comprehensive cost function containing delay cost, operation cost and innovative risk cost items is designed, so that scheduling decisions no longer briefly pursue local or single-point efficiency optimization.

The invention relates to the field of MCP protocol integrated management, in particular to an MCP integrated management system and method supporting multi-task collaboration, and the method comprises the steps: completing the deployment of one or more service instances according to the communication mode of an MCP Server through employing a corresponding deployment strategy, and registering the metadata of the MCP Server and the information of the service instances into a resource library; creating a personal cooperation space and a team cooperation space, and configuring role permissions for members of the team cooperation space; generating a workflow definition containing task execution logic; according to the workflow definition, creating and executing a corresponding workflow instance, and feeding back an execution state in real time; receiving a calling request for the managed MCP Server, and carrying out load balancing routing and protocol conversion to realize seamless calling of the third-party MCP service; the requirements in different scenes are met, and the flexibility and efficiency of cooperation are improved.

The invention relates to the technical field of information integrated management, in particular to a hospital information integrated management system, which comprises the following steps of: acquiring communication time delay, bandwidth and queuing cost among service nodes, and performing comprehensive calculation and optimal path screening on multiple paths by using a Dikstra algorithm; according to the method, cost-minimized dynamic path planning is realized, a shortest cost path can be efficiently determined under a complex network topology, and failure range calculation and multicast synchronization are executed through hit judgment and a conflict key value updating algorithm in combination with a segmented transmission and block allocation strategy. In the access behavior analysis, trend prediction is performed by counting the access frequency of medical records and prescription sequences and combining a long-short-term memory network model, and the access priority and the capacity threshold are dynamically adjusted, so that the balance of task scheduling and the real-time performance of response are kept during load fluctuation, a traceable cluster recovery index is formed, and the service life of the cluster is prolonged. And stable transmission and intelligent scheduling of cross-system data can still be kept in a complex environment.

The invention relates to the technical field of campus management systems, in particular to an intelligent campus comprehensive management system based on geo-fence and digital twinning, and the system comprises a fence monitoring module, a scene modeling module, a trend analysis module, a resource scheduling module and a management optimization module. According to the method, regional personnel and equipment data are collected through a fence and a sensor, retention and power abnormity are identified through density clustering, parameter set driving digital twin modeling is performed, a scene is dynamically reconstructed through Kalman filtering, people flow temperature change and a deviation region are identified through trend analysis, and the security personnel position and the people flow density are combined. The support vector machine classifies scheduling priorities, intelligently screens an optimal allocation scheme, forms a closed-loop response mechanism, improves the real-time performance and accuracy of risk identification and response, enhances the synchronization capability of virtual modeling to a real scene, enhances the early warning precision and range judgment of trend analysis, improves the efficiency and rationality of scheduling response, and improves the reliability of risk identification and response. And the overall resource management and service capability of the campus is optimized.

The invention discloses a smart park comprehensive management system based on intelligent collection, and relates to the technical field of smart park comprehensive management, and the system comprises a collection and generation module which collects original data, segments a service area through a Voronoi graph, and generates a shortest distance matrix in combination with a Floyd algorithm; the calculation and iteration module is used for calculating facility priority scores, generating a facility start-stop sequence and scheduling individuals in combination with the shortest distance matrix, and carrying out iterative optimization to obtain an initial solution; the optimization module is used for generating an elite and a common population based on the initial solution to perform initialization, and performing optimization through disturbance, path selection probability and a pheromone diffusion mechanism in combination with a Hamming distance difference evaluation and cross replacement strategy to obtain an optimal solution; according to the invention, the position of the facility can be accurately adjusted, the facility arrangement of the park is more reasonable, and the service range is maximized, so that the overall service quality and the operation efficiency are improved.

The invention discloses an intelligent integrated management system for building construction quality and safety, which relates to the technical field of industrial safety system services, and is characterized in that each batch of raw materials and each key component are endowed with a unique digital identity label, so that the unique digital identity label becomes a unique mapping which cannot be tampered by a physical entity in the digital world; in the subsequent circulation process, any data such as quality detection, construction operation, environmental parameters and personnel information are bound to the identifier through the Internet of Things equipment and the edge gateway, and the data packets with the digital identifier are submitted to a block chain consensus network jointly maintained by suppliers, construction, supervision, construction and the like for evidence storage. The distributed account book and consensus mechanism of the block chain ensures that the data submitted by any party can be permanently recorded only after being verified by other participating nodes, thereby ensuring the authenticity and integrity of all key quality records.

The invention relates to the technical field of building energy collaborative management and renewable energy grid-connected regulation and control, in particular to a ground source heat pump and solar photovoltaic integrated management system based on multi-energy complementation, which comprises a data acquisition module for acquiring a data output real-time operation data set. The multi-time scale prediction module generates a prediction curve and calculates a time sequence matching degree index. And the energy coordinated optimization module constructs a decision model by taking maximization of renewable energy local consumption as a target, and generates a storage battery charging and discharging instruction and a heat pump adjusting instruction according to a matching degree index. The execution control module converts the instruction into an equipment-level operation signal, controls the operation of the photovoltaic inverter, the heat pump frequency converter and the storage battery management system, and collects equipment state data and feeds the data back to the data collection module to form closed-loop control. Through multi-time scale prediction and real-time optimization scheduling, the problem that photovoltaic power generation intermittency is not matched with a building thermal load time sequence is effectively solved, and the energy utilization efficiency is improved.

The invention relates to the technical field of intelligent water affair management, and discloses a comprehensive management system for intelligent water affair. The system comprises a hydrological data acquisition module, an abnormal feature recognition module, a correlation analysis module, a grading early warning module and a decision output module. The hydrological data acquisition module acquires data such as water quality and water flow velocity of multiple monitoring points to generate a hydrological feature set; the abnormal feature recognition module extracts abnormal indexes and topological information to form a pipe network abnormal feature distribution diagram; the correlation analysis module analyzes the pollution diffusion path and generates an abnormal correlation analysis result; the grading early warning module divides risk grades and outputs an early warning parameter set; and the decision output module generates a partition regulation and control instruction and a resource allocation strategy. According to the system, comprehensive monitoring, accurate abnormity identification, scientific analysis and association, reasonable early warning and efficient decision making of the water supply pipe network are realized, and the intelligent water affair management level is improved.

The application relates to the technical field of system integration management, and discloses an application system integration management system and method based on artificial intelligence. The system obtains integration requirements of application systems through an information acquisition module; a compatibility analysis module analyzes compatibility between systems to generate a preliminary integration scheme in combination with the integration requirements and a pre-trained artificial intelligence model; a preliminary configuration module configures data conversion rules and interaction protocols between systems according to the scheme, and outputs a preliminary configuration result; an integration acquisition module completes preliminary integration based on the configuration result, synchronously acquires state data and abnormal information in the integration process; a state feedback module feeds back the data to the artificial intelligence model; and a scheme optimization module optimizes the preliminary scheme by means of the model after feedback, and obtains an optimized integration scheme. The application effectively solves the problems of low efficiency, poor accuracy, insufficient integration stability and high maintenance difficulty caused by the lack of real-time feedback and dynamic optimization in the prior art, which are caused by the fact that application system integration relies on manual operation.

The invention belongs to the technical field of equipment management, and particularly relates to a persistent creep equipment integrated management system which comprises a plurality of industrial personal computers, a data acquisition server, a data storage and application server, a switch, a wireless router and a client display terminal. By constructing a centralized network architecture of an industrial personal computer, a data acquisition server, a data storage and application server and a client display terminal, unified acquisition, processing and visual display of all equipment operation parameters are realized. The system supports real-time centralized monitoring of operation states of all equipment according to authority on a single client interface, automatically triggers and highlights a temperature / time abnormity alarm, supports global equipment query and view switching, thoroughly breaks the barrier of multiple islands, realizes unified scheduling of equipment resources and centralized management and control of risks, and is suitable for large-scale popularization and application. And the management efficiency and the test reliability are obviously improved.

This invention provides a real-time stability control device suitable for new energy grid-connected systems, relating to the field of new energy grid-connected control. This real-time stability control device for new energy grid-connected systems includes a power grid system, a communication system, a wind power integrated management system, and a wind power inter-regional consumption system. The power grid system includes a main grid, distribution network, wind farms, electrical equipment, and transmission lines. The wind farm includes wind turbines, generator sets, and substations. The communication system consists of a GPS system, a dispatch center, a power dispatch data network, network switches, and a wind power integrated management communication terminal. By combining the wind farm aggregation station with the conditions of wind farms in various regions, inter-regional transmission lines are selectively activated. When a region reaches a low-load period, the electricity generated by the wind farms in that region is transmitted inter-regionally to regions with high load during that period, effectively avoiding excessively high wind curtailment rates and contributing to grid stability.

To solve the problem that automation of immunoassays presents a series of challenges such as repeatability and / or reproducibility which remains goals for all automated assay systems.SOLUTION: The present invention relates to a method, a device, and a system for associating consumable data with assay consumables used in biological assays. Provided is an assay system and associated consumable, where the assay system adjusts one or more steps of an assay protocol based on consumable data specific to the consumable. Various types of the consumable data and a method of using such data in execution of assays by the assay system are described. The present invention also relates to a consumable (for example, a kit and a reagent container), software, a data deployable bundle, a computer readable medium, a loading cart, a measuring instrument, a system, and a method for performing automated biological assays.SELECTED DRAWING: Figure 2

The invention provides an optical storage and charging intelligent homestay electric energy integrated management system based on the Internet of Things technology, and the system comprises a power grid access cabinet which is used for accessing commercial power; the plurality of load devices are configured in different rooms; the plurality of alternating current charging piles are configured outside the target service homestay; the energy storage device is bidirectionally and electrically connected with the string type inverter; the photovoltaic module is configured on the roof of the target service homestay, and the string inverter is used for converting photovoltaic direct current output by the photovoltaic module and energy storage direct current output by the energy storage device into alternating current for power supply; the electric energy meter is used for continuously counting the electric energy data of the string type inverter; and the controller is used for transmitting the electric energy data to a remote client and controlling the operation states of each load device, each alternating current charging pile, the energy storage device and the string type inverter according to a control instruction of an operator. The method has the beneficial effects that the electric energy waste phenomenon of the homestay can be reduced, economic benefits are increased, the energy-saving and emission-reducing effects are improved, and the new energy utilization rate is increased.

The invention provides an airborne comprehensive management system and method applied to a fire extinguishing medium putting platform. The system comprises an outer part system, a photoelectric operation handle, input equipment, a comprehensive management computer, data recording equipment and display equipment, the outer part system is used for acquiring real-time data of the airplane in a fire extinguishing medium putting task; the photoelectric operation handle is used for determining a shooting control instruction; the input equipment is used for receiving an external operation instruction; the comprehensive management computer is used for determining interface display information according to the state analysis result of each external system and the photoelectric sensing picture; determining a putting parameter according to the external operation instruction, and determining a putting control signal according to the putting parameter; the data recording equipment is used for storing the data; and the display equipment is used for displaying the interface display information. The airborne integrated management system provided by the invention can ensure the operation efficiency in emergency fire extinguishing rescue scenes such as forests, grasslands and mountainous regions.