2044 results about "Energy supply" patented technology

The invention discloses an urban energy network intelligent allocation method and system, and the method comprises the steps: obtaining building energy consumption data and energy supply network topology information, building a supply and demand matching reference, recognizing a load peak value dense time period and a peak clipping and valley filling potential region, and exporting transferable load data to form a regional supply and demand distribution diagram; generating a peak shifting adjustment space in combination with the user response delay duration and the equipment start-stop period; performing gap matching analysis on the regional supply and demand distribution map and the peak shifting adjustment space, creating a hierarchical regulation instruction set, and differentially generating an instant response instruction and a delay response instruction; a regulation and control coordination parameter is formed through coordination configuration of the peak shifting revenue coefficient and the instant response instruction; finally, a regulation and control execution range is determined, cost benefit evaluation is implemented, an urban-level energy scheduling execution scheme is formed, accurate matching and efficient scheduling of urban energy supply and demand are achieved, and comprehensive and efficient scheduling decision support can be provided for application scenes such as an intelligent power grid, regional heat supply and comprehensive energy service.

The invention relates to the technical field of energy system control, and discloses a distributed cooperative fault-tolerant control method for a multi-energy-station cooling and heating system, and the method comprises the steps: enabling each energy station to measure and calculate a residual error based on a physical model and a sensor, forming a normalized health index, and carrying out the neighborhood broadcasting; carrying out robust anomaly judgment by utilizing a neighborhood median and a median absolute deviation, and isolating an abnormal site; cost coefficients are automatically generated for available sites according to equipment maneuverability, and control redistribution of minimum disturbance is solved and implemented through distributed consistency optimization; an exponential weighting updating mechanism of a residual error sequence is adopted to carry out online self-adaption on a noise baseline and a judgment threshold value so as to realize closed-loop self-calibration; when sensor abnormity, equipment errors or individual station faults occur in the multiple energy stations which work cooperatively, distributed rapid identification is achieved, faults are isolated, energy supply is redistributed with minimum disturbance, system control requirements are met, and equipment safety constraints are kept.

The invention relates to the technical field of power management, in particular to a multi-source data fusion photovoltaic power scheduling control system, which comprises a sensing extraction module, a disturbance identification module, an offset trend analysis module, a path switching module and a frequency band suppression module. According to the method, a disturbance pre-judgment interval is identified by constructing a time derivative sequence and combining illumination and wind speed trend change in a continuous period, a disturbance time period is accurately discriminated, the disturbance interval is confirmed and disturbance characteristics are extracted through conjoint analysis of photovoltaic and energy storage current change trend and grid-connected point fluctuation amplitude, and the disturbance accuracy is improved. An offset trend curve is formed by calculating photovoltaic and energy storage current change differences, the energy supply offset degree is judged in real time to trigger scheduling conditions, dynamic suppression adjustment is performed on regulation and control signal parameters according to spectrum energy distribution, the accuracy and timeliness of disturbance recognition, energy supply offset judgment and frequency band regulation and control are improved from multiple levels, and the energy storage and energy supply efficiency is improved. And more stable and efficient optical storage combined scheduling control is realized.

The invention relates to the technical field of intelligent inspection of power equipment, and particularly discloses a power transmission line inspection system based on an autonomous correction long-endurance unmanned airship. The system aims to solve the problems of short endurance, small operation radius, single image angle, intermittent operation, leak detection, low precision, poor environmental adaptability and the like caused by dependence on manpower or GPS navigation in the conventional unmanned aerial vehicle inspection. The system comprises an energy supply module, a data acquisition module, an intelligent control module and a communication and data return module. Wherein the energy supply module is integrated with a solar energy collection, storage and intelligent scheduling unit to realize day-and-night continuous energy supply; the intelligent control module adopts an RT-DETR visual algorithm to identify a tower in real time, performs automatic deviation correction by fusing pose information, and accurately tracks a preset track; the data acquisition module supports multi-angle high-definition imaging, and the communication module guarantees real-time data return. And high-precision unmanned inspection with ultra-long endurance, full-automatic and wide-area continuous coverage is integrally realized.

The invention discloses a water energy accumulator and ground source heat pump combined control method, relates to the technical field of building environment and equipment engineering, accurately captures a time sequence change rule of a building cold load based on the load prediction capability of a time convolution network, overcomes the defect that a traditional method is insufficient in response to sudden fluctuation, and improves the control efficiency. The system can plan an energy storage strategy in advance; an electricity price-load change rate sensitivity index is introduced, and through an adaptive weight adjustment mechanism, economic operation and load tracking requirements are dynamically balanced, so that strategy stiffness caused by fixed priorities is avoided, and the utilization efficiency of time-of-use electricity price signals is remarkably improved; according to the joint optimization design of the mixed integer linear programming model, the equipment operation constraint and the cost target are comprehensively considered, the collaborative decision of the energy accumulator charging and discharging strategy and the heat pump frequency setting is realized, and the direct energy supply dependence in the midday high electricity price period is effectively reduced.

The invention relates to an integrated energy system optimization method considering a carbon emission reward and punishment mechanism and shared electrochemical energy storage, and the method comprises the following steps: carrying out the modeling of an integrated energy system which comprises energy supply, energy conversion, load and shared electrochemical energy storage; constructing a peak-flat-valley period stepped carbon emission mechanism considering the carbon emission difference of different energies and a dynamic carbon price factor, and determining a corresponding carbon transaction cost / reward according to the total carbon emission of the integrated energy system in a scheduling period; based on a capacity leasing and power service mechanism, modeling is carried out on the cost of the shared electrochemical energy storage mode; an optimization scheduling problem is constructed by taking system operation cost minimization and clean energy utilization rate improvement as targets; and solving the optimization scheduling problem to obtain an optimal output scheme and an energy storage charging and discharging strategy of each energy device in the integrated energy system, thereby realizing optimization of the integrated energy system.

The invention provides an energy efficiency prediction and energy-saving scheduling optimization system and method for a food cold chain system, and relates to the technical field of cold chain system energy-saving scheduling, and the system comprises a data recognition module which is used for recognizing cold chain loading state data, and analyzing the space influence characteristics of the loading state data of a cold chain loading space; the strategy obtaining module is used for carrying out energy efficiency optimization on cold chain energy supply according to the space energy efficiency relation between the cold chain space and the link energy supply parameters and the space influence characteristics; the state chain establishment module is used for carrying out loading state dynamic analysis based on the cold chain vehicle path and predicting a path switching node; and the optimization strategy obtaining module is used for carrying out path state node scheduling optimization according to the cold chain path state chain by taking a space energy efficiency strategy as an initial parameter based on the vehicle energy supply coupling relationship and the space energy efficiency relationship of the cold chain system. The technical problem of energy consumption waste in cold chain transportation in the prior art can be solved, and the technical effect of reducing cold chain energy consumption is achieved.

A road construction machine in the form of a road paver or a feeder vehicle for conveying paving material to a road paver, the road construction machine being self-propelled and having a primary drive source, a hopper, at least one working unit and at least one electric consumer for heating the working unit, the road construction machine having an energy supply system with at least one electrical energy storage which can be charged by means of electric current generated outside the road construction machine and is present on the road construction machine as an internal power source for direct current supply to the electric consumer. Furthermore, the disclosure relates to the use of such an energy storage for direct current supply to an electric consumer of a road construction machine.

The invention discloses a reliable distributed energy supply station flexible transformation method, system and device based on'thermoelectric cooling 'and a storage medium, and relates to the technical field of distributed energy supply flexible transformation, comprising the steps of determining a transformation direction based on distributed function data, and integrating thermoelectric cooling distributed energy supply; executing an energy management control strategy according to the determined transformation direction; and dynamically adjusting a control strategy in combination with distributed energy supply data and a prediction result. According to the method, stable energy supply can still be kept under different weather and sunshine conditions, a flexible energy management control strategy enables the system to better adapt to environmental changes and requirements, real-time monitoring and data analysis capability are achieved, dependence on solar energy can be predicted and adjusted in advance, and the optimal energy supply effect is achieved.

The invention relates to an industrial park-based comprehensive energy flow direction on-line monitoring system and method, and the system comprises an energy modeling module which is used for representing instrument information, carrying out the modeling of collection labels and collection frequencies of different types of instruments, constructing nodes of different energy layered structures, carrying out the modeling of a directed flow direction relation between the nodes, and carrying out the modeling of the directed flow direction relation between the nodes; binding the logic relationship between the node and the instrument; the data acquisition module is used for performing data acquisition through an instrument, performing edge processing and encrypted transmission through communication equipment, and storing the data in a database; the energy monitoring module is used for monitoring and counting the state of the instrument and monitoring the energy flow direction of the enterprise in real time according to the directed flow direction of the node; and the statistical analysis module is used for providing energy balance analysis for different links of the enterprise energy in the conversion and use process according to the nodes, evaluating the energy consumption loss degrees of the different links, visualizing the nodes with abnormal loss and giving an alarm. Through the real-time and accurate calculation of the energy loss among the nodes at all levels, the backtracking of the nodes with abnormal loss and the timely pushing of the alarm information, the enterprise can timely discover the problems occurring in the energy supply, and can quickly find out the corresponding solution, reduce the energy consumption loss and guarantee the robustness of the energy flow network.

The invention belongs to the technical field of aircraft control, particularly relates to a range extender control system for an unmanned aerial vehicle and a controller, and aims to solve the problems of limited endurance, poor flight stability and the like caused by discontinuous energy supply and power response lag. The system comprises a range extender power source module, an electric energy conversion and distribution module, a flight state sensing module, a load power prediction module, a multi-target optimization scheduling module and a closed-loop feedback execution module. Through flight state real-time perception and load power prediction based on a recurrent neural network, an optimal power generation instruction is generated in combination with multi-target optimization scheduling, and precise rotating speed tracking is realized through adaptive PID control. A fuel consumption, power supply smooth switching and battery health combined cost function is introduced, dynamic weighting is carried out according to task types, and the cruising ability and the system robustness are improved; the system has the functions of fault emergency response, power battery hot plug and model online updating, and safety and maintainability are enhanced.

The invention discloses an emergency energy storage cabin with a multi-source power generation intelligent switching function and a power supply control method thereof, and relates to the field of emergency energy storage, and the energy storage cabin comprises a photovoltaic power generation device which is arranged at the top and can stretch and unfold a photovoltaic panel, a hydrogen energy storage power generation device connected with a bus, and an energy storage battery pack, in cooperation with the voltage and current sampling circuit and the illumination sensor, the controller controls switching among the power supplies according to acquired signals. The switching priority is photovoltaic power generation priority, the energy storage battery pack is subordinate, and the hydrogen energy storage power generation device is the last standby; the system is provided with a current limiting element, a pre-charging control unit and a graded load management function, and can cut off non-critical loads and supply critical loads in turns when a power supply is insufficient. The interior of the cabin can integrate water purification, hydrogen production, hydrogen storage and air conditioning modules. According to the method and the system, intelligent switching of multi-source energy, key load guarantee and continuous energy supply in an emergency environment are realized.

The invention relates to the technical field of ground source heat pump control, in particular to an intelligent cooperative control system for a ground source heat pump system and building energy management. The method comprises the steps that a data collecting and preprocessing unit collects multiple types of data in real time and preprocesses the data to form system state vectors; the load and power generation prediction unit predicts future cooling and heating load and photovoltaic power generation power of the building through a machine learning regression model and a time sequence prediction model; the operation optimization unit generates an optimal operation strategy of the ground source heat pump based on a depth deterministic strategy gradient algorithm; and the multi-source energy coordinated control unit realizes multi-device coordinated control through multi-target mixed integer linear programming. Through combination of prediction data and an optimization algorithm, a dynamic matching relation between load fluctuation and energy supply is fully considered, and the problems of soil heat imbalance and unstable comprehensive energy efficiency ratio of the ground source heat pump system in a traditional fixed parameter operation mode are solved.

The invention discloses a micro-grid energy coordination control method considering communication topology dynamic change, which belongs to the technical field of electric energy control and management, and comprises the following steps: monitoring a communication connection state between control nodes, and generating a topology change event; evaluating energy supply capability and communication reliability and adjusting influence in energy coordination to generate adaptive weights; in combination with real-time sensor information and historical operation data, short-term energy prediction data is generated, in combination with adaptive weight, a global energy distribution consensus is achieved, and then an energy distribution decision is generated; in the execution process, the topology change event and the deviation between the short-term energy prediction data and the real-time energy data are monitored, and if a deviation threshold value is exceeded, an event signal is triggered to drive the control strategy to be updated. According to the method, the adaptive weight is generated by monitoring the communication topology and the energy state, and distributed negotiation and event triggering updating are performed in combination with short-term prediction, so that the energy coordination robustness and the operation stability of the micro-grid in a dynamic environment are improved.

The invention discloses a bridge health monitoring system which comprises a sensing layer, a transmission layer, a processing layer and an application layer which are in communication connection in sequence. The sensing layer synchronously collects structural mechanics, environmental influence and traffic load data through multi-source heterogeneous sensing nodes, and the sensing nodes adopt a solar energy and vibration energy double-source energy supply and low-power-consumption mechanism; the transmission layer adopts a'wireless private network + edge gateway 'mixed mode, and has data caching and breakpoint resuming functions; the processing layer analyzes data through a deep learning fusion algorithm based on an attention mechanism, and realizes dynamic early warning threshold adaptive adjustment in combination with a Bayesian reasoning model; and the application layer provides a visual interface, graded early warning and targeted maintenance decision suggestions. The system achieves the precise monitoring of the full life cycle of the bridge, improves the evaluation accuracy and system stability, reduces the operation and maintenance cost, provides scientific support for the safe operation and maintenance of the bridge, is suitable for the health monitoring scenes of various bridge types, and greatly improves the accuracy of the evaluation of the health state of the bridge.

The invention provides a distributed scheduling method for railway traction stations and peripheral micro-energy grids, and belongs to the technical field of energy supply of micro-energy grid groups containing the railway traction stations, and the method comprises the steps: building a micro-energy grid sharing mutual aid grid structure containing the railway traction stations, obtaining a power model of each railway traction station, and optimally configuring energy storage equipment, obtaining operation constraints of the energy storage equipment; constructing an energy sharing benefit function by taking each micro-energy network agent as a game main body and taking individual benefit maximization as a target, setting constraint conditions, and establishing an energy sharing non-cooperative game model; and solving the energy sharing non-cooperative game model by adopting an alternating direction multiplier algorithm to obtain a distributed energy transaction behavior result and a price result. According to the method, distributed solution is carried out on the micro-energy network energy sharing non-cooperative game model based on the alternating direction multiplier method, original centralized optimization is converted into coupling optimization among a plurality of micro-energy network agents through interactive variables, the efficiency of the whole iteration process is guaranteed, and the privacy of each energy network is protected.

The invention provides a tunnel water pump dynamic energy-saving adjusting method and system, and relates to the technical field of tunnel water pump energy-saving control, and the method comprises the steps: collecting multi-dimensional working condition data in a tunnel drainage system through a collection unit; based on the multi-dimensional working condition data, combining the water level change rate, the rainfall capacity and the total drainage demand, classifying tunnel drainage working conditions to obtain a working condition classification result; according to the working condition classification result, the water pump rotating speed is adjusted through a fusion control algorithm, and multi-pump cooperative operation is completed based on water pump efficiency sorting and load distribution logic; a fault judgment threshold value is set based on rated parameters of water pumps, historical operation data and real-time working condition data, potential faults are warned in advance by analyzing the parameter change trend, and therefore the working condition of the water pumps can be accurately judged through multi-dimensional working condition data collection, intelligent algorithm dynamic adjustment, multi-pump collaborative optimization and accurate fault warning. And on-demand energy supply of the tunnel water pump is achieved, energy consumption is reduced, operation is stable, and maintenance is efficient.

The invention relates to an energy management method and system for a green electricity hydrogen production and hydrogenation all-in-one machine, and relates to the technical field of hydrogen energy application, the system comprises an upper layer control system and a communication interface module, collaborative optimization scheduling is executed in the day-ahead stage, the rolling stage and the real-time stage; the communication interface module supports IEC104, private UDP and other industrial protocols, and realizes real-time data interaction with a green electricity prediction system and a hydrogen production DCS system. The method comprises the following steps: making an electrolytic cell start-stop and power plan in a day-ahead stage; periodically correcting prediction and demand errors in a rolling stage; the power of the electrolytic cell is dynamically adjusted to fluctuate along with green electricity in the real-time stage. According to the invention, cross-section and multi-time scale coordination control is realized, and the green power consumption rate, the system operation economy and the hydrogen energy supply reliability are improved.

The invention relates to a thermochemical energy-storage heat-preservation coring device and method for oil and gas coring, magnesium sulfate heptahydrate is preset in an interlayer of a heat-preservation cylinder of the coring device, the underground temperature is stored by utilizing dehydration and heat absorption of the magnesium sulfate heptahydrate, and then the stored heat energy is released by utilizing water absorption and heat release of the magnesium sulfate to carry out core heat preservation. The thermochemical energy storage thermal insulation structure comprises a thermal insulation cylinder and a thermal insulation trigger device, wherein a thermochemical energy storage material and reactant water are placed in an interlayer in the thermal insulation cylinder; the heat preservation trigger device comprises a trigger probe, a self-trigger and a trigger spring. The underground temperature is stored through dehydration and heat absorption of the magnesium sulfate heptahydrate, the stored heat energy is released through water absorption and heat release of the magnesium sulfate for rock core heat preservation, and extra energy supply is not needed; meanwhile, the magnesium sulfate heptahydrate is non-toxic and stable in property, can store different heat in different temperature stages, and is suitable for heat preservation coring of different reservoir depths.

The invention provides an energy distribution optimization method and device, electronic equipment and a storage medium, and can be applied to the technical field of artificial intelligence. The method comprises the following steps: acquiring energy purchase cost data and energy supply attribute data of an energy supplier in a target scheduling period and energy demand attribute data and energy constraint attribute data associated with each energy load area; the energy purchase cost data, the energy supply attribute data, the energy demand attribute data and the energy constraint attribute data are processed based on an energy distribution prediction model, energy distribution information is obtained, and the energy distribution prediction model comprises a first-stage distribution sub-model constructed based on a multi-objective optimization function and a constraint condition set; and determining a target energy distribution scheme corresponding to the energy load area according to the energy distribution information. Cooperative optimization of key targets of cost, reliability and timeliness is realized in a target scheduling period, and the overall robustness and feasibility of an energy distribution scheme in a complex and uncertain environment are remarkably improved.

The invention belongs to the technical field of energy consumption management, and particularly relates to an energy consumption optimization control method and system for heating and ventilation equipment, and the method comprises the steps: constructing a distributed pump set architecture, and converting a transmission and distribution system from a centralized regulation and control mode into a distributed regulation and control mode; developing adaptation technology and equipment; establishing a dynamic hydraulic balance regulation and control model by combining a digital twinning technology and an intelligent algorithm; the dynamic regulation and control model is used for optimizing the pump set operation state and the valve opening degree in real time; by constructing a distributed pump set framework, the system can independently adjust the rotating speed of the pump units according to the actual requirements of different sub-areas, the adaptability of the system to different working conditions and load changes is greatly improved, and the heating and ventilation requirements of all the areas can be more accurately met; the problem of excessive energy supply or insufficient energy supply of partial areas caused by overall adjustment in a centralized regulation and control mode is avoided, so that the overall operation efficiency and comfort of the system are effectively improved.

The invention relates to the technical field of intelligent guardrails, solves the problem that a modular guardrail in the prior art lacks comprehensive monitoring and unified power supply, and provides an intelligent modular guardrail. The guardrail comprises at least two guardrail stand columns and a connecting rod structure arranged between the stand columns, each guardrail stand column comprises a stand column base and a stand column body, and a mounting groove is formed in the side face of each stand column body; the connecting rod structure is detachably connected with the stand column body through a connecting structural part. The top of the stand column body is provided with a power module, the power module comprises a photovoltaic panel, a first energy storage unit and a wireless displacement vibration unit, the photovoltaic panel is electrically connected with the first energy storage unit, and the first energy storage unit is electrically connected with the wireless displacement vibration unit; the stand column body further comprises an imaging module, and the imaging module comprises a second energy storage unit and an imaging unit. The modularized guardrail has the advantages of being convenient to install and maintain, stable in energy supply and capable of achieving real-time monitoring.

The invention relates to a transportation junction multi-business micro-energy network chain-type interconnection architecture, and the architecture comprises a load layer which comprises micro-energy networks of different business forms; the energy layer comprises an external energy source and a distributed power generation and energy storage system and is used for providing comprehensive energy supply for energy consumption requirements of the micro-energy grids in different commercial forms in the load layer; the energy network layer comprises different types of energy networks, the different types of energy networks carry out coupling conversion on energy of the energy layer so as to meet the energy use requirements of micro energy networks in different business states in the load layer, and coupling interaction and interconnection intercommunication between the different types of energy networks are achieved through different types of energy conversion equipment; and the cloud edge-end energy collaborative management and control system is used for regulating and controlling the energy layer, the energy network layer and the load layer by utilizing a cloud-edge-end three-layer management and control architecture so as to realize the collaboration and dynamic balance of multiple energy flows among different regions of the transportation hub.

The invention discloses an electrical integrated energy system toughness index evaluation method, which comprises the following steps: firstly, considering disaster-causing uncertainty of extreme disasters, and establishing a typical fault scene set of an electrical integrated energy system; secondly, considering dynamic and static characteristics and coupling constraints of an electric and gas heterogeneous energy flow system, constructing a numerical simulation model of the electrical integrated energy system under a fault condition, and simulating a cascade fault and energy supply recovery process of the system under a typical fault scene set; and finally, based on a simulation result, drawing a multi-stage toughness curve of the system, and constructing a multi-dimensional comprehensive evaluation index system of the electricity-gas dependency under a toughness perspective. The invention further discloses an electrical integrated energy system toughness index evaluation system, full-dimension quantitative analysis of the multi-energy dependency relationship under the fault working condition can be achieved, and weak links caused by multi-energy flow strong coupling can be effectively screened out.

The invention provides a mobile solid heat storage and storage battery coordinated island comprehensive energy system, and belongs to the technical field of electric energy supply, the system comprises a heat storage and heat exchange unit, a heat exchange fan, a thermal insulation layer, an energy storage battery, a rapid power socket, an instrument cabinet, a water circulation system, a heat exchange water pump and an inverter, and the modular and container type design is adopted; and mobile deployment and flexible expansion are realized. According to the system, electric energy is converted into heat energy for storage through the heat storage and exchange unit, time-shifting storage of the electric energy is achieved by means of the energy storage battery, independent supply and efficient complementation of electric energy and heat energy are achieved through intelligent coordination control, electric power, high-temperature hot air and hot water can be stably output, and the diversified energy utilization requirements of remote areas, emergency disaster relief and field operation island scenes are met. According to the invention, the energy self-sufficiency rate and the energy consumption safety of the island scene are obviously improved, the operation cost is reduced, and the method is green and environment-friendly and has national defense, social and economic benefits.

The invention provides an energy management method and device for an elevator energy supply system. The method is executed by a cloud server and a local controller which work cooperatively. A cloud server obtains historical and real-time operation data of an energy supply system, predicts the available output power of a photovoltaic unit and the comprehensive power demand of an elevator load in a first time period in the future, generates an energy scheduling strategy of the first time period through optimization calculation, and issues the energy scheduling strategy to a local controller; the local controller collects the local real-time operation state of the energy supply system, selects the current execution strategy and controls the energy flow path of each unit so as to supply power to the elevator load or recover the regenerated energy of the elevator load. According to the method, the energy-saving economy can be improved, the two free energy sources including photovoltaic power generation and elevator regeneration energy are preferentially utilized to the maximum extent through cloud collaborative scheduling, the energy storage charging and discharging strategy is optimized to make full use of the commercial power peak-valley price difference, and the overall operation electric charge of an elevator system is remarkably reduced.

The invention discloses a comprehensive design method for an anti-freezing pavement of a highway in a high-altitude severe cold area, relates to the technical field of road engineering, and solves the problems of high energy consumption, short service life, unfriendly environment or poor system reliability and the like generally existing in the prior art. And the design of combining structures, materials, energy and intelligent control is lacked. A comprehensive design method for an anti-freezing pavement of a highway in a high-altitude severe cold area comprises the following steps that S1, a multi-layer composite pavement structure is constructed, and the multi-layer composite pavement structure is composed of an anti-sliding and ice-inhibiting functional layer, an energy active layer and a heat preservation structure layer from top to bottom; and S2, a distributed state sensing network is arranged in the multi-layer composite pavement structure and on the roadside of the multi-layer composite pavement structure. Passive ice suppression, active ice melting, intelligent sensing and green energy are organically integrated to form a complete'sensing-decision-execution-energy supply 'closed-loop system, and the limitation of a single technology is broken through.

The invention relates to the technical field of wearing control, and discloses an intelligent sleeping bag temperature and humidity self-adaptive control method and system based on multi-source data, and the method comprises the steps: obtaining multi-modal data of user physiology, environment and system state; simulating and predicting a future physiological state vector of the user through a physiological digital twin module; evaluating an energy supply capability vector of the system through an energy management twin module; the cooperative control decision module receives the two vectors and generates a final control sequence by taking minimization of physiological discomfort as a target under energy constraint; adjusting the temperature and humidity in the sleeping bag according to the sequence; the system comprises a multi-modal data acquisition module, a physiological digital twinning module, an energy management twinning module, a cooperative control decision module and a physical execution module. According to the invention, parallel prediction and evaluation of user demands and system capabilities are realized through the double twin modules, optimal balance of comfort and energy efficiency is realized through collaborative decision, and the problems of hysteresis and lack of energy consumption management of a traditional control method are solved.

The invention relates to the technical field of unmanned aerial vehicles, and particularly discloses an unmanned aerial vehicle take-off and landing cabin which is characterized in that cabin doors are symmetrically arranged above a cabin body and connected with the two sides of the cabin body, and the two cabin doors are closed at the top of the cabin body to cover the cabin body; a stop two-dimensional code is arranged on the top and / or the side surface of the cabin door The parking platform is arranged in the cabin body, and a lifting mechanism is arranged at the bottom of the cabin body; a guiding two-dimensional code is arranged in the cabin body, and the express cabinet and the storage room are connected to the lower portion of the cabin body. The management system carries out real-time monitoring and data statistics on the use state, energy supply and unmanned aerial vehicle access records of the take-off and landing cabin. The cabin body is made of a high-strength waterproof material and a sealing structure and is matched with a cabin door closing design, so that severe environments such as wind, rain and dust can be effectively resisted, and the unmanned aerial vehicle is prevented from being interfered by the environment in the taking-off, landing and parking processes; smoke, temperature and vibration sensors are integrated, fire hazards, temperature abnormity and illegal invasion are detected in real time, alarm and emergency measures are automatically triggered when abnormity occurs, and the safety of equipment and the unmanned aerial vehicle is guaranteed.

The invention relates to the technical field of aircraft energy management, in particular to an aircraft power supply system and a management method. The aircraft power supply system comprises a power generation subsystem, an energy storage subsystem, an electricity load, a power distribution bus and a first controller, the power generation subsystem and the energy storage subsystem are connected to the power distribution bus in parallel and electrically connected with the power distribution bus, the electricity load is electrically connected with the power distribution bus, and the first controller is electrically connected with the electricity load. The first controller is in communication connection with the power generation subsystem, the energy storage subsystem, the power utilization load and the power distribution bus. The first controller is used for determining the current working mode of the aircraft power supply system based on the generated power of the power generation subsystem and the electric power of the electric load, controlling the power generation subsystem and / or the energy storage subsystem to supply energy to the power distribution bus based on the current working mode of the aircraft power supply system, and controlling the power storage subsystem to supply energy to the power distribution bus based on the current working mode of the aircraft. And controlling the power distribution bus to transmit the electric energy to the electric load and / or the energy storage subsystem. According to the invention, stability of airborne energy supply, dynamic energy balance and bus voltage stabilization can be realized.