96 results about "Energy facilities" patented technology

The invention provides an unmanned aerial vehicle intelligent routing inspection method for routing inspection of energy facilities, and the method comprises the steps: carrying a high-definition camera and a thermal sensor through an unmanned aerial vehicle, carrying out the routing inspection of the energy facilities, collecting a visual image and thermal imaging data in real time, and transmitting the data to a server side. And the server performs processing, analysis, risk classification and anomaly detection on the data by using various recognition training and deep learning models. The unmanned aerial vehicle acquires three-dimensional information by using a simultaneous positioning and map construction technology, constructs a three-dimensional map, and plans a routing inspection path by using an RRT algorithm, thereby realizing multiple functions. Potential risks are identified by using a deep learning technology, and early warning and automatic obstacle avoidance are realized. The edge calculation unit processes the data in real time and transmits the data to the ground control center, and further analyzes and predicts the risk trend. The system integrates a plurality of advanced modules, realizes efficient, intelligent and automatic inspection by using deep learning, edge computing and high-speed data transmission technologies, reduces cost and risks, and provides powerful support for safety management of energy infrastructures.

The invention relates to the technical field of three-dimensional modeling, in particular to a rural energy facility rapid modeling method based on three-dimensional laser point cloud. The method comprises the following steps: acquiring point cloud data of energy facilities in a rural area by using three-dimensional laser scanning equipment to obtain point cloud data of the rural energy facilities; performing target identification according to the rural energy facility point cloud data to obtain rural energy facility target data; constructing a three-dimensional model according to the rural energy facility target data to obtain a rural energy facility three-dimensional model; and performing refined modeling according to the rural energy facility three-dimensional model to obtain a rural energy facility refined model. According to the method, the energy facility model with high precision, rich details and complete physical attributes is generated by combining geometric refinement, topological optimization and physical attribute simulation, so that the modeling efficiency is remarkably improved, and technical support is provided for various application scenes such as operation and maintenance management, fault detection and simulation analysis of facilities.

The invention provides a dynamic fusion system for digital twin energy management BIM modeling and a method thereof, which are used for improving the intelligent level of energy management and optimizing energy scheduling. The system comprises a data sensing node used for collecting heterogeneous operation data of energy facilities; the local twin processor is used for carrying out real-time digital twin mapping on the data and generating a dynamic feature vector; region twinborn nodes perform local optimization based on edge calculation, and realize decentralized collaboration through a block chain or a knowledge graph; the cloud BIM fusion engine constructs a digital twin BIM model, generates a self-optimization energy scheduling scheme and predicts a long-term trend; and the operation control terminal is used for presenting a real-time view and providing a regulation and control instruction. According to the method, technologies such as multi-source data fusion, streaming aggregation optimization and adaptive twin mapping are combined, and the accuracy and dynamic response capability of energy management are improved.

The invention discloses an energy internet operation state evaluation method and system, and relates to the technical field of energy internet, and the method comprises the following specific steps: building a micrometeorological model: combing the geographic position information of various energy facilities distributed in the energy internet, according to the method, a regional differentiation comprehensive evaluation mechanism considering ecological benefits and energy utilization efficiency is established by fusing dynamically quantified ecological environment related indexes and energy operation state indexes obtained based on micrometeorological differences, so that real-time influences of the energy internet on the ecological environment in different regions are comprehensively and accurately mastered; according to the method and the system, comprehensive evaluation results such as the interference degree of a wind power plant on a bird migration path, the ecological interference degree of a solar power station on land vegetation and the influence range and intensity of electromagnetic radiation on surrounding ecology are evaluated, and energy internet optimization operation strategies and ecological protection measures which are more practical and more targeted are formulated based on the comprehensive evaluation results.

The invention belongs to the technical field of lightning arrester operation state monitoring, and particularly relates to a zinc oxide lightning arrester operation state on-line monitoring and evaluation method, which comprises the following steps: analyzing the external natural environment state of a zinc oxide lightning arrester and the historical operation state of the zinc oxide lightning arrester to obtain historical use state data of the zinc oxide lightning arrester; judging whether the zinc oxide lightning arrester can continue to operate or not, determining an operation monitoring threshold value of the zinc oxide lightning arrester, obtaining working characteristic data of the zinc oxide lightning arrester, and combining the operation monitoring threshold value of the zinc oxide lightning arrester to judge whether the operation state of the zinc oxide lightning arrester is qualified or not. According to the method, the problems that a traditional checking means cannot meet the requirements of a chemical power system for real-time performance and automation and the dynamic response capability is insufficient are solved, power equipment fault risks in biological energy facilities can be better handled, optimal configuration of resources is achieved, meanwhile, the service life of the equipment is prolonged, and the stability of the system is improved.

The invention discloses an energy facility operation state remote monitoring and early warning system, and relates to the technical field of energy facility operation state monitoring, in the system, a distributed sensor network collects multi-type state time sequence data of each node of an energy facility; the edge computing gateway performs data cleaning and feature extraction on the received data; the cloud platform is used for performing quantum dynamic encryption and transmission on the feature data packet to obtain feature plaintext data, calculating a current feature parameter coupling coefficient based on a hidden Markov model and a Bayesian network, and further determining an equipment health degree index and a health risk level of each node of the energy facility based on a neural network; and determining corresponding prompt information according to the health risk level, wherein the prompt information comprises an early warning signal, an equipment topological association graph and associated equipment co-processing suggestions. According to the invention, the monitoring efficiency can be improved, the quality of the collected data is ensured, the accuracy of early warning is ensured, the data security is ensured, and the operation management level of energy facilities is improved.

The invention discloses an intelligent operation and maintenance and adaptive control method for new energy facilities, and the method achieves the collaborative optimization scheduling of multi-source equipment, reduces the start-stop frequency of a conventional generator set, and improves the charging and discharging efficiency of an energy storage system. An equipment health monitoring mechanism reduces the risk of sudden failures, and a self-adaptive control strategy enhances the stability of the system under external disturbance. Wind and light power generation prediction and real-time scheduling are combined, the utilization rate of renewable energy sources is improved, meanwhile, the overall operation cost is reduced through data-driven fine control, fine control over the charging and discharging process of the energy storage equipment is achieved, the system power adjustment requirement and the battery health protection requirement are effectively balanced, and the system reliability is improved. Energy conversion in a low-efficiency period is avoided in charge and discharge opportunity selection, efficiency loss caused by a battery polarization effect is reduced in charge and discharge rate control, and meanwhile, the risks of over-charge, over-discharge and overheating of the battery are reduced through a real-time monitoring and dynamic adjustment mechanism.

The invention discloses a ground source heat pump pipeline settlement detection system and method, belongs to the technical field of underground energy facility safety monitoring, and mainly solves the problems that a traditional underwater environment detection means is low in precision and difficult to implement. The device is fixed to the inner pipe wall of the ground source heat pump through a waterproof protection shell, an integrated underwater laser range finder vertically emits laser to the inner wall of an outer pipe, and the settlement distance is calculated in real time based on the formula d = c * t / 2; meanwhile, the inclination angle of the inner pipe is monitored through a gyroscope chip, the output voltage U and the angular speed omega meet the condition that U = K * omega, and inclination changes are analyzed through the angular acceleration alpha = delta omega / delta t; geospatial data are collected in combination with a GIS module, pipeline features are uploaded to a server by a handheld terminal, and a settlement positioning map is generated; the electronic equipment sets threshold values dmax and theta max, and when the real-time data exceed the threshold values, sound-light alarm is triggered. The system is used for monitoring pipeline settlement displacement and inclination angle changes in a high-precision mode, and automatic fault early warning and precise positioning maintenance are achieved.

The invention discloses an energy storage management system based on solar photovoltaic power generation, relates to the technical field of energy dispatching management, and enhances the adaptive capacity to environment change in the energy dispatching process. The method comprises the following steps: comparing a historical environment change curve in a historical energy flow record pre-stored in each energy allocation period with a corresponding ideal environment data straight line, and marking a deviation environment data fragment in the historical environment change curve according to a comparison result; according to the method, historical environment change curves with one or more deviation environment data segments are selected in sequence, then a multi-segment linear regression equation is generated, a plurality of energy management time periods are set according to an energy allocation period, and an energy allocation decision network is established according to position distribution of energy facilities. And inputting the real-time data set of each energy facility into an energy allocation decision network, calling a corresponding multi-section linear regression equation, and setting and implementing an energy allocation decision for each energy facility.

The invention discloses a multi-energy complementation zero-carbon service area construction method, and relates to the technical field of multi-energy complementation, and the construction method comprises the steps: selecting an optimal construction address based on the topographic data of a research area, evaluating the carbon emission at the optimal construction address in combination with the energy consumption prediction, and generating a zero-carbon construction scheme through the carbon emission; on the basis of the zero-carbon construction scheme and climate conditions, designing a construction scheme of the zero-carbon service area at the optimal construction address, and constructing the zero-carbon service area according to the construction scheme; the operation data of the zero-carbon service area is acquired by using a sensor, and control logic is generated based on the operation data to adjust the operation state of each energy facility so as to realize the purpose of multi-energy complementation. According to the invention, the energy utilization efficiency is improved, the carbon emission is reduced, the self-management and optimization capability of the service area is enhanced, and a new thought and technical support are provided for green development of the traffic transportation industry.

The invention relates to the technical field of preparation of nano-coatings, in particular to an MXene / GQDs nano-hybrid filler (coupling agent modified MXene / GQDs nano-hybrid filler) for an anti-corrosion coating, a synthesis method of the MXene / GQDs nano-hybrid filler and application of the MXene / GQDs nano-hybrid filler in the field of marine corrosion protection. According to the nano hybrid filler for the anti-corrosion coating, MXene and GQDs are hybridized and then subjected to functionalization treatment, and the weight ratio of the MXene to the GQDs is (1: 0.1)-(1: 10). The preparation process is simple, and the formed anticorrosive filler and coating are excellent in performance and expected to be applied to metal facilities such as offshore new energy facilities and railway engineering.

The invention discloses an intelligent operation and maintenance method and system for highway energy facilities, and a medium, mainly relates to the technical field of intelligent operation and maintenance, and is used for solving the problems that the manual inspection coverage rate is low and lags behind, the rule threshold alarm false alarm rate is high, and maintenance resource distribution depends on artificial experience in the existing scheme. Comprising the following steps: inputting operation parameters and environment parameters into a preset trained neural network algorithm to obtain an initial fault judgment result; based on the initial fault judgment result, determining energy facilities with potential safety hazards and obtaining maintenance time corresponding to the potential safety hazards; generating a maintenance task corresponding to the current hidden danger; wherein the maintenance task comprises the position of the energy facility with the potential safety hazard, the maintenance time and the initial fault judgment result; obtaining an initial maintenance terminal whose position distance to the energy facility is less than a preset distance; and broadcasting the maintenance task to all the initial maintenance terminals, and determining the initial maintenance terminal which returns the receiving information for the first time as a final maintenance terminal.

A system and method are provided for simulating the sizing and siting of energy generation facilities to supply electricity for a recommended industrial load. The method begins by accessing specific criteria for each land parcel in a portfolio and filtering out unviable parcels based on factors such as existing wind or solar installations, protected areas, or parcel size. An objective function is calculated to represent the overall cost of generating electricity to meet the load. The system executes multiple design simulations, generating random placements of energy facilities based on criteria like industrial load size and location, renewable energy resource availability, and transmission line proximity. For each simulation, the cost of construction and electricity delivery is calculated to identify the lowest possible cost. Using a probabilistic technique, the method approximates the global minimum cost and ranks each simulation by cost-efficiency, helping identify optimal land parcels for energy facility placement.

The present invention relates to a method for planning new transportation energy facilities on highways, including determining basic parameters of electric vehicles and highways; simulating electric vehicle travel on highways through dynamic traffic models; simulating the spatiotemporal distribution of electric vehicle charging loads using the Monte Carlo method; evaluating the utilization potential and complementarity of wind and solar energy in highway service areas; establishing a new transportation energy facility planning model, including: establishing an objective function and constraint conditions; and solving the new transportation energy facility planning scheme using an improved genetic algorithm based on the spatiotemporal distribution of electric vehicle charging loads and the new transportation energy facility planning model. Compared with the prior art, the present invention improves the existing site selection and sizing methods from the aspects of electric vehicle parameter characterization, dynamic traffic simulation, wind and solar energy evaluation, and provides guidance for the site selection and sizing of new transportation energy facilities on highways.

A system for evaluating compliance of energy installations (122, figure 1) with an efficiency criterion. The system having a trained machine learning model 510, where the model is trained to generate, based on an input to the model, an output 512 indicative of compliance. The installation includes an electricity generator (128, figure 1) and an electrically powered HVAC device (124, figure 1), and the criterion relates to electricity consumed from an electricity distribution grid and / or supplied to the grid (102, figure 1) by the installation. The input to the model including a set of specification parameters 500 for the installation. The parameters indicating a generation capacity of the generator 504, and an electricity consumption of the HVAC device 506. The system further has an evaluation module which receives a set of specification parameter values for an installation to be evaluated. The module inputs the specification parameter values to the model and outputs a compliance indication based on the output of the model. Computer-implemented methods for evaluating the compliance and training the machine learning model are also disclosed.

An information processing device of an energy operation support system is provided with an information acquisition unit and an optimization unit, and the optimization unit is provided with: a cost optimization unit that calculates an operation condition of an energy facility on the basis of an evaluation of the total energy operation cost of an iron making plant; a CO2 optimization unit for calculating the operation conditions of the energy equipment on the basis of the evaluation of the total CO2 emission amount of the energy operation of the iron making plant; and a CO2 cost evaluation unit that calculates a CO2 cost index in the energy use of the iron works on the basis of the total energy use cost of the iron works calculated by the cost optimization unit and the total energy use CO2 emission amount calculated by the CO2 optimization unit, and the display terminal device is provided with an information acquisition unit, an information display unit, and an output unit.

The invention discloses a rare earth modified silicone rubber anti-radiation adhesive and a preparation method thereof, and the rare earth modified silicone rubber anti-radiation adhesive is prepared by mixing dealcoholized single-component room temperature vulcanized silicone rubber and an anti-radiation rare earth compound according to a ratio of 92-98 wt%: 2-8 wt%, the anti-radiation rare earth compound is prepared by mixing a mixed rare earth compound, deionized water and a composite rare earth coupling agent according to the mass ratio of 10: 90: 0.08, and the mixed rare earth compound is prepared by reacting raw materials including gadolinium chloride, samarium chloride, europium chloride, boric acid and deionized water. The neutron relative attenuation rate of the adhesive can reach 71-85%, the gamma ray relative attenuation rate of the adhesive can reach 88-95%, only microcracks appear on the surface after radiation, and the adhesive is easy to construct, can be used for aerospace circuit boards, equipment circuit boards in nuclear energy facilities and parts needing anti-radiation protection and the like, and has good practicability and popularization value.

The present invention discloses an energy storage management system based on solar photovoltaic power generation, which relates to the technical field of energy dispatching management and enhances the adaptability to environmental changes in the process of energy allocation. The present invention compares the historical environmental change curve in the historical energy flow record pre-stored in each energy allocation cycle with the corresponding ideal environmental data straight line, marks the deviation environmental data segment on the historical environmental change curve according to the comparison result, selects the historical environmental change curve with one or more deviation environmental data segments in turn, and then generates a multi-segment linear regression equation, sets a number of energy management time periods according to the energy allocation cycle, establishes an energy allocation decision network according to the location distribution of energy facilities, inputs the real-time data set of each energy facility into the energy allocation decision network, and retrieves the corresponding multi-segment linear regression equation, and then sets and implements energy allocation decisions for each energy facility.

The invention relates to the technical field of new energy facility construction, and discloses a green building new energy facility construction auxiliary mechanism and a using method thereof.The green building new energy facility construction auxiliary mechanism comprises two symmetrically-arranged side plates and a bottom beam fixedly arranged between the two side plates, and a plurality of rotating shafts arranged at intervals are rotationally arranged between the two side plates; the shaft wall of each rotating shaft is fixedly sleeved with a transmission wheel, a transmission belt is arranged outside the multiple transmission wheels in a transmission mode, a motor is fixedly arranged on the outer wall of the side plate, the tail end of an output shaft of the motor penetrates into the side plate and is fixedly connected with the rotating shaft, a sliding hole is formed in the lower end of the outer wall of the side plate on one side, and a moving plate penetrates into the sliding hole in a sliding mode. According to the green building new energy facility construction auxiliary mechanism and the use method thereof, a photovoltaic panel can be stably conveyed and is finally obliquely arranged, the photovoltaic panel can be rapidly connected and matched with a photovoltaic support without auxiliary overturning of an operator, intervention of the operator is reduced, and the use efficiency of new energy facilities such as the photovoltaic panel is improved.

A system and method are provided for simulating the sizing and siting of energy generation facilities to supply electricity for a recommended industrial load. The method begins by accessing specific criteria for each land parcel in a portfolio and filtering out unviable parcels based on factors such as existing wind or solar installations, protected areas, or parcel size. An objective function is calculated to represent the overall cost of generating electricity to meet the load. The system executes multiple design simulations, generating random placements of energy facilities based on criteria like industrial load size and location, renewable energy resource availability, and transmission line proximity. For each simulation, the cost of construction and electricity delivery is calculated to identify the lowest possible cost. Using a probabilistic technique, the method approximates the global minimum cost and ranks each simulation by cost-efficiency, helping identify optimal land parcels for energy facility placement.

The invention provides hydrogen energy ball valve online sealing detection equipment, which relates to the technical field of valve sealing detection and comprises a multi-source sealing data acquisition module, a sealing state diagnosis and analysis module, a sealing failure tracing analysis module and a risk comprehensive evaluation module. According to the invention, through a progressive diagnosis architecture of first overall evaluation and then accurate cause tracing, the defects of data processing redundancy and incapability of capturing multi-factor coupling hidden failure in traditional sub-item detection are effectively overcome; a quantitative tracing mechanism based on vector space projection greatly enhances the pertinence of a maintenance decision; and finally, through system-level risk visualization and intelligent path planning, spanning from single-point state monitoring to full-station safe operation and maintenance decision support is realized, and the safety, reliability and maintenance efficiency of hydrogen energy facility operation are comprehensively improved.

An energy operation support device includes: an optimization calculation unit; and operation guideline transmission units. The calculation unit sets an operation condition of an energy facility as a determination variable based on information obtained from a result value / prediction value acquisition unit, unit price information acquisition unit, and functioning information acquisition unit, constitutes a balance condition of an energy utility, and adds a shortage amount determination variable of the energy utility to the generation variable side of the balance condition and establishes a constraint condition. Then, the unit sets an objective function containing the total cost for the energy operation of a steel works and the shortage amount determination variable and arithmetically operates the determination variable so the objective function asymptotically approaches the optimum value to satisfy the constraint condition. The transmission units transmit an operation guideline to an operator based on the shortage amount arithmetically operated in the calculation unit.

Provided is a method for simulating creation of a smart farm complex by using geographic information, the method comprising: a target area input step of inputting, from a terminal to a server, information for specifying a target area in which is to be created a smart farm complex comprising at least one of a processing and distribution facility, an exhibition and learning facility, and a commercial facility together with a smart farm; a complex design step of selecting each facility constituting the smart farm complex to be created in the target area specified via geographic information and setting parameters of the area and image design of each zone of each facility from the terminal to the server; a smart farm design step of setting, from the terminal to the server, parameters of crops, smart farm-specific area, smart farm type, external facilities, internal facilities, and energy facilities of the smart farm; and an economic feasibility analysis step of performing, on the server, a simulation of a creation cost, an operation cost, and a sales amount of the smart farm, on the basis of parameters of the respective facilities of the smart farm complex and respective parameters of the smart farm.

The utility model discloses a communication base station with a nuclear protection function. The communication base station comprises a shell, a protective cover, a heat dissipation machine shell, a machine plate and an interface adapter plate. The shell comprises an upper shell body and a lower shell body, one end, facing the upper shell body, of the lower shell body is provided with an inwards-sunken shell body cavity, and the upper shell body covers the lower shell body so as to seal the shell body cavity; the heat dissipation machine shell covers the bottom face of the shell cavity, and the interface adapter plate is arranged between the bottom face of the shell cavity and the heat dissipation machine shell. An accommodating cavity for accommodating the interface adapter plate is formed in one side, facing the interface adapter plate, of the heat dissipation shell; the protective cover covers the heat dissipation machine shell, and the machine plate clamp is arranged between the protective cover and the heat dissipation machine shell. According to the communication base station, the protective cover is arranged to protect high-energy particles in a radiation environment, the heat dissipation machine shell is arranged to conduct heat of devices in the machine plate in the closed space, the protective capability and the heat dissipation capability of the communication base station are improved, and the communication base station has an excellent use effect when being applied to nuclear energy facilities.

According to the full-automatic light color adjusting method and system for the tourist attraction buildings, the environment and tourist flow of the tourist attraction are monitored in real time by deploying the high-density intelligent sensor network and the tourist flow counting equipment, and the unmanned aerial vehicle is used for high-altitude monitoring in the large-scale complex terrain tourist attraction; according to sunrise and sunset, seasonal change, holiday and astronomical event factors, light color schemes of different time periods and regions are preset, based on collected data and historical records, the system establishes a flow prediction model, time sequence data are processed in combination with LSTM, the light color brightness of each region is dynamically adjusted, and the intelligent power management system is combined with green energy facilities to realize intelligent power management. According to a human body biological clock and a circadian rhythm, light color, brightness and blue light components are optimized, light color is rapidly adjusted in an emergency mode to provide direction guidance, an interactive platform is arranged, user feedback is collected, a light color strategy is continuously optimized, the operation condition of a system is remotely monitored, problems are solved in time, and the on-site maintenance frequency is reduced.

A system and computer-implemented method that trains a learning algorithm to simulate the siting of new energy generation facilities colocated with a recommended industrial load on a subset of land parcels. The method begins by running simulations to evaluate land parcels based on characteristics such as electricity transmission, market demand, and industrial load usage. A clustering algorithm uses these characteristics to generate a training set predicting electricity output from the facilities on the selected land parcels. Each subset is assigned a combined score, factoring in its size, transmission distance, and projected revenue, with higher scores indicating better suitability. The scores are ranked, and changes in land parcel characteristics are monitored. If changes exceed a set threshold, the algorithm is re-trained using updated characteristics. This process enables the method to adapt dynamically, refining recommendations for siting energy facilities in response to evolving conditions and maximizing both efficiency and profitability.

The invention provides a new energy facility modularized rapid deployment system, which comprises a deployment planning decision module, a digital twin module, an execution control module, a dynamic environment adaptation module and an efficiency evaluation module, and is used for realizing rapid, efficient and reliable deployment of new energy facilities in a complex environment. The system generates a deployment scheme through multi-objective optimization, performs simulation verification and execution control by using digital twinning to realize closed-loop automatic deployment, dynamically adapts to environmental changes, evaluates deployment efficiency in the whole process, and continuously optimizes a deployment strategy. According to the method, rapid deployment, efficient operation and dynamic optimization of the new energy facilities can be realized, the deployment efficiency, the resource utilization rate and the system reliability are improved, the deployment cost and risk are reduced, and the adaptability and stability of the new energy facilities in a complex environment are enhanced.

The invention relates to a method for feeding electrical power into a power supply grid by means of at least one wind farm having a plurality of wind energy installations, wherein the wind farm feeds electrical power into the power supply grid at a grid connection point and an expected power (P) is determined for a predetermined feed-in period. F ), wherein the expected power specifies a value of power or a time profile of power, which is expected to be provided by at least one wind farm as power in the wind in a predetermined feed-in period, in particular as the sum of all rotor powers of all wind energy installations of the wind farm and / or as feed-in power of the wind farm, and wherein an expected accuracy is determined for the expected power, the expected accuracy being a measure representing the accuracy with which the power reaches the expected power in the feed-in period, and / or wherein in order to determine the expected power (P F ), using a meteorological forecast to determine at least one wind forecast value (P MO ), additionally determining or verifying the wind forecast variable from the weather forecast by means of correction rules in relation to local weather data and / or operating data of the wind farm, wherein the expected power (P F ) based on the wind expected variable (P MO ) to determine.

The invention relates to thermal power generation energy facility real-time environment remote sensing monitoring equipment which comprises an unmanned aerial vehicle and a sensor, the monitoring equipment further comprises a sleeve and a piston rod, the upper end of the sleeve is connected to the unmanned aerial vehicle, the sleeve is hollow, the lower end of the sleeve is opened downwards to form a sliding hole, and a spring is arranged in the sliding hole; the upper end of the piston rod is vertically connected to the sliding hole in a sliding mode, the two ends of the spring are fixedly connected to the sleeve and the piston rod respectively, the lower end of the piston rod is fixedly connected with an installation frame, and the sensor is installed on the installation frame. By the adoption of the technical scheme, the technical problem that an existing sensor mounted at the bottom of the unmanned aerial vehicle may be damaged due to impact force generated when the unmanned aerial vehicle lands can be solved.

The invention discloses a flame-retardant and anti-explosion integrated sandwich type protection device for protecting a ground vertical storage tank, and belongs to the field of industrial design of protection structures of energy facilities and chemical storage facilities. The storage tank and protection structure comprises a top gradient foamed aluminum sandwich module, a side wall gradient foamed aluminum sandwich module, a top foamed aluminum corrugated sandwich plate, a side wall foamed aluminum corrugated sandwich plate, a top and side wall sandwich plate connecting reinforcing rib, an upper layer steel supporting frame, a flexible flame-retardant net, a lower layer I-shaped steel supporting frame and a storage tank and protection structure connecting base. The storage tank can meet the 1100-DEG C high-temperature use environment, can be used for resisting explosion impact, impact fragments and falling of high-temperature fragments and is of a flame-retardant / explosion-proof integrated sandwich type protection structure, external impact can be effectively prevented, and high-energy fragments generated after the top of the storage tank body explodes and is torn can be prevented from splashing.