59 results about "Transportation energy" patented technology

The invention relates to the field of transportation visualization, in particular to a cold chain cargo transportation management visualization method and system. The method comprises the following steps of collecting cold chain cargo state parameters, performing cargo quality trend evaluation, and generating state data streams of a plurality of cargoes; performing dynamic positioning and tracking on the cold-chain transport vehicle, performing space-time mapping processing according to the state data flow, and constructing a real-time tracking trajectory flow; performing future aging deviation prediction on the real-time tracking trajectory flow to generate an aging deviation prediction result; carrying out transportation risk comprehensive assessment according to the aging deviation prediction result, and generating a transportation risk assessment report; and carrying out path planning calculation and client notification pushing according to the transportation risk assessment report so as to execute intelligent transportation management. According to the invention, the transportation energy consumption and time cost are reduced, the resource allocation efficiency is improved, and the cargo real-time tracking visualization effect is improved.

The invention relates to the technical field of traffic energy management, in particular to a traffic energy intelligent fusion management system and method based on artificial intelligence. According to the calculated coincidence degree and the function value of each charging area, the alternative charging areas selected by recommendation are output, allocation can be carried out according to the mobility of the electric vehicles, and the peak load of the power distribution network is reduced; furthermore, the standby power utilization demand of the target vehicle is analyzed and calculated, the recommended charging duration of the target vehicle is calculated according to the standby power utilization demand and is pushed to the user side, the charging duration of the vehicle can be planned, the coincidence duration between the charging duration of the vehicle and the power utilization peak time period is shortened, and the charging efficiency of the vehicle is improved. Therefore, the load scheduling of the power distribution network can be realized, the charging cost of a user can be reduced, the charging duration can be reduced in a peak period, the charging duration can be increased in a low peak period, and the charging cost is reduced.

The invention discloses a traffic transportation industry current-period carbon emission calculation method and system based on an electric carbon model, and a medium. The method comprises the steps of obtaining traffic transportation industry factor data and establishing a traffic transportation industry factor library; performing traffic energy consumption influence factor analysis on the factor data through a feature engineering technology to obtain traffic energy consumption core influence factors; constructing to obtain an energy activity data prediction regression model; using AIC to obtain a lagging order, inputting data corresponding to the lagging order into the energy activity data prediction regression model for prediction, and obtaining an annual total energy consumption prediction value; converting the annual energy activity prediction value to obtain energy consumption data of each month; and based on the energy consumption data of each month and the corresponding carbon emission factor, calculating to obtain the carbon emission of the corresponding month. According to the method, the carbon emission of the traffic transportation industry can be accurately predicted in real time through the consumption of the electric energy.

The invention relates to a normal-conducting high-speed maglev traffic energy fusion system which comprises a high-speed maglev traction power supply system, a renewable energy power generation system, a composite energy storage system, an energy management system, a cloud computing platform system and a maglev train. Compared with the prior art, efficient fusion of a renewable energy source system and a high-speed maglev traffic system is achieved, and the high-speed maglev traffic system has the advantages of being efficient and safe in high-speed maglev traffic, energy-saving and low-carbon in operation and the like.

The utility model discloses a gripping device for curb production. The gripping device comprises a moving frame, a driving device and a driving device, the negative-pressure shell is arranged below the movable frame, and adsorption holes communicated with an inner cavity of the negative-pressure shell are densely distributed in the bottom surface and used for being communicated with a negative-pressure pump; the supporting arms are provided with supporting parts, the supporting arms are distributed in the circumferential direction and move between the supporting station and the releasing station and below the supporting station, the supporting parts are located under the negative pressure shell so as to support the curb blank, and the positions, below the releasing station and between the supporting arms, of one side of the curb blank adsorbed by the negative pressure shell are located; the driving assembly is used for driving the supporting arm to move. According to the grabbing device for curb production, negative pressure is generated at the negative pressure shell and the adsorption holes through the negative pressure pump, after a curb blank is adsorbed, the driving assembly is used for adjusting the supporting arm to the supporting station, the supporting arm is used for supporting the curb blank, the curb blank can still move along with the device conveniently after the negative pressure pump stops running, and the working efficiency is improved. And the continuous operation state of the negative pressure pump does not need to be kept, so that the transportation energy consumption is reduced.

The utility model relates to the field of prediction platforms, in particular to a dynamic optimization traffic transportation energy consumption prediction platform which comprises a stand column and an adjusting assembly. The outer end of the stand column is provided with an adjusting assembly used for adjusting the height of equipment for adaptive detection, the adjusting assembly comprises a sleeve rod, an air cylinder, a telescopic rod, a connecting rod, a tail gas detection head, a monitoring plate, a transmission rod, a positioning block, a connecting plate, a detection piece and a butt joint, the sleeve rod is located above the stand column, and the air cylinder is arranged between the sleeve rod and the stand column; a hydraulic rod is arranged at one end, located in the sleeve rod, of the air cylinder, a telescopic rod is arranged in the sleeve rod, and the telescopic rod is slidably arranged in the sleeve rod through the hydraulic rod; according to the utility model, the cylinder is combined with the hydraulic rod to drive the telescopic rod to stretch out and draw back to adjust the height of the tail gas detection head, so as to ensure that the equipment reaches the required height, so that the equipment can obtain accurate detection data under different vehicle types and working conditions to adapt to different monitoring requirements and environmental conditions, and the accuracy of data acquisition is improved.

The invention belongs to the technical field of refrigerator van plates, and particularly relates to a high-strength low-heat-bridge refrigerator van plate which comprises a plate body of a multi-layer composite structure, and the plate body sequentially comprises an outer skin layer, a first bonding layer, a polyurethane rigid foam heat preservation layer, a second bonding layer and an inner skin layer from outside to inside. The polyurethane rigid foam thermal insulation layer is filled with polyurethane glue; a plurality of hollow reinforcing channels extending longitudinally are formed in the polyurethane rigid foam heat preservation layer; the first bonding layer and the second bonding layer are fiber reinforced composite material layers, and the fiber reinforced composite material layers are formed by compounding and curing fiber materials and polyurethane foam. A metal framework is completely replaced by the integrally-formed hollow reinforced channel, a heat conduction path is cut off fundamentally, the heat preservation performance is remarkably improved, and cold chain transportation energy consumption is reduced.

The invention discloses an energy-carbon comprehensive management and control platform and a management and control method thereof, and relates to the technical field of traffic transportation energy management and control, and in the platform, an edge energy-carbon management and control platform is in data connection with a zero-carbon cloud control platform and an end side device; the end-side equipment comprises power supply and distribution equipment and internet-of-things equipment at each energy use station and the road side in the target area; the Internet of Things equipment is used for collecting energy-carbon data of each energy use site and roadside and uploading the energy-carbon data to the edge energy-carbon management and control platform; the edge energy-carbon management and control platform is used for performing visual display of an energy-carbon system, management and control of energy scheduling and monitoring and analysis of energy consumption and carbon emission according to the energy-carbon data; and the zero-carbon cloud control platform is used for carrying out statistical analysis on the global energy system according to hierarchical management and hierarchical data of the accessed emission comprehensive management and control systems at all levels, formulating a scene scheduling strategy, and executing global zero-carbon service management and control and data fusion of each service system. According to the invention, visual display of energy-carbon data and energy network operation energy efficiency evaluation can be realized.

The invention relates to the field of cold-chain transportation, in particular to a cold-chain transportation system capable of intelligently and remotely controlling temperature, which comprises an initial temperature setting module for setting initial temperature in a cold-chain carriage according to a to-be-transported body; the temperature curve determination module is used for dividing the predicted transportation duration into a plurality of unfreezing time periods and determining an unfreezing temperature curve according to the unfreezing time periods, the initial temperature and the target temperature; the temperature adjusting module is used for adjusting the temperature in the cold-chain carriage according to the unfreezing temperature curve by using the temperature difference value inside and outside the cold-chain carriage and the running speed; and the early warning module monitors the real-time temperature in the compartment in real time according to the temperature monitoring equipment so as to ensure that the temperature is always controlled within a certain preset range, and when the temperature deviates from the preset range, the system gives an alarm prompt. And the temperature control precision is ensured, and meanwhile, the transportation energy consumption is minimized.

The invention relates to a gathering and transportation method and device for high-pour-point and high-viscosity crude oil, a storage medium and electronic equipment. The method comprises the steps that oil well main basic parameters influencing gathering and transportation are determined based on an obtained oil well basic parameter set, and a wall sticking temperature calculation model is established; aiming at each oil well with different oil well crude oil physical property parameters, respectively acquiring each parameter value of the oil well under the main basic parameters of the oil well in the gathering and transportation, solving the constructed wall sticking temperature calculation model based on the parameter values, and acquiring the value of the infinite outline constant; based on a wall-sticking temperature calculation model of the infinite outline constant value, solving the corresponding wall-sticking temperature under each condition, and constructing a normal-temperature gathering and transportation temperature limit prediction table corresponding to the crude oil physical property parameter value of each oil well; and according to the oil well crude oil physical property parameter value of the target oil well, a corresponding target normal temperature gathering and transportation temperature limit prediction table is obtained, the gathering and transportation temperature is determined according to the water content and the liquid production capacity of the target oil well, and the gathering and transportation process of the target oil well is obtained based on the gathering and transportation temperature. And gathering and transportation energy consumption and cost can be reduced.

The invention describes a wind turbine vessel (1) which autonomously sails at high sea by means of wind turbines (2) and produces, stores and transports energy. The wind turbine vessel (1) is a multi-hull vessel having three or more hulls (3), between which at least one wind turbine (2) is installed. The hulls (3) are installed rotationally symmetrically parallel to the longitudinal axis of the wind turbine vessel (1). This makes it possible for the wind turbine vessel (1) to pivot, that is to say to rotate about its own longitudinal axis, in order to be resilient in the case of sea storms. In the event that it capsizes in strong winds or waves, it retains its complete structural and functional integrity as a result of its rotationally symmetrical design. The wind turbines (2) are used simultaneously in two ways. Firstly, they are used for the production of electrical energy which is stored on board in the hulls (3), for example in batteries or with power-to-hydrogen. Secondly, the wind turbines (2) are used as sails for driving and controlling the wind turbine vessel (1) by means of yawing movements. It can thus sail autonomously at high sea in areas in which the wind conditions are favourable for energy production, that is to say it can use stronger and more uniform winds, and transport the energy stored on board to a location where it can be fed into the energy grid.

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.

The invention relates to the technical field of pipeline energy consumption management and control, and particularly discloses a pipeline transportation energy efficiency monitoring system for high pour point oil transportation, which is characterized in that single-mode optical fibers are coaxially laid on the inner wall of a long-distance pipeline managed by a target pump station along the x-axis direction of the pipeline, and narrow-pulse-width laser pulses with set frequency are emitted to the single-mode optical fibers by a pump station OTDR host; recording an OTDR curve of the scattered light power changing along with time; determining the residual quantity of each oil product residual position; comprehensively evaluating the compatibility index of the residual oil product at each oil product residual position in the long-distance pipeline and the oil product to be transported; meanwhile, the residual pressure is provided according to the preorder pump station corresponding to the target pump station, and then the oscillogram of the working power corresponding to the target pump station is generated, so that the safety and efficiency of the long-distance pipeline are improved, and the oil product transportation process is optimized through an intelligent monitoring and adjusting mechanism. An efficient and reliable management tool is provided for a pipeline operator, the operation cost can be reduced, the environmental influence is reduced, and the overall performance of the system is improved.

The utility model relates to the technical field of material conveying, in particular to an energy-saving lifting device for vertical transportation of building construction materials, which comprises a hanging basket, a transportation mechanism is arranged outside the hanging basket, an energy-saving mechanism is arranged at one end of the transportation mechanism, and a lifting mechanism is arranged at the other end of the transportation mechanism. The conveying mechanism comprises a plurality of supporting frames and a lifting frame, the multiple supporting frames are hinged through hinges, one end of each supporting frame is rotationally connected with a positioning block, a sliding groove is formed in one end of each supporting frame, an electric hoist is installed at the top of the lifting frame, a mounting plate is connected to the bottom of the electric hoist, and the lifting frame is provided with a sliding groove. According to the energy-saving lifting device for vertical transportation of the building construction materials, the operation of transporting the materials to a designated point is completed through the transportation mechanism, and therefore the effects of vertical lifting and convenient use on high floors are achieved.

The invention describes a wind turbine vessel (1) which autonomously sails at high sea by means of wind turbines (2) and produces, stores and transports energy. The wind turbine vessel (1) is a multi-hull vessel having three or more hulls (3), between which at least one wind turbine (2) is installed. The hulls (3) are installed rotationally symmetrically parallel to the longitudinal axis of the wind turbine vessel (1). This makes it possible for the wind turbine vessel (1) to pivot, that is to say to rotate about its own longitudinal axis, in order to be resilient in the case of sea storms. In the event that it capsizes in strong winds or waves, it retains its complete structural and functional integrity as a result of its rotationally symmetrical design. The wind turbines (2) are used simultaneously in two ways. Firstly, they are used for the production of electrical energy which is stored on board in the hulls (3), for example in batteries or with power-to-hydrogen. Secondly, the wind turbines (2) are used as sails for driving and controlling the wind turbine vessel (1) by means of yawing movements. It can thus sail autonomously at high sea in areas in which the wind conditions are favourable for energy production, that is to say it can use stronger and more uniform winds, and transport the energy stored on board to a location where it can be fed into the energy grid.

The invention relates to the technical field of agricultural products, and discloses a fresh agricultural product intelligent warehouse logistics system based on AI and an intelligent contract, and the system comprises a freshness calculation module which is used for collecting environment state data and cargo attribute data of fresh agricultural products in a warehouse logistics process, so as to calculate the cargo freshness corresponding to the fresh agricultural products; the intelligent contract generation module is used for determining a distribution path corresponding to the distribution task by using a preset AI path optimization algorithm so as to calculate a distribution damage rate of the distribution task and construct a performance intelligent contract corresponding to the distribution task; the energy consumption efficiency evaluation module is used for calculating the distribution heat load of the distribution task and determining the transportation energy consumption equivalent generated by the distribution task so as to evaluate the logistics energy consumption efficiency of the distribution task; and the warehouse optimization module is used for executing warehouse logistics optimization processing of the fresh agricultural products to obtain a warehouse logistics optimization result. According to the invention, the management efficiency of intelligent warehouse logistics of fresh agricultural products can be improved.

The invention discloses a multi-node cooperative control method and system for surface mine blasting, and relates to the technical field of mine blasting. The method comprises the following steps: dividing mine blasting operation into a drilling node, a blasting node, a shoveling node, a transportation node and a crushing node, obtaining a drilling energy consumption coefficient, a blasting energy consumption coefficient, a shoveling energy consumption coefficient, a transportation energy consumption coefficient and a crushing energy consumption coefficient, obtaining a first evaluation coefficient, and obtaining the optimal gravel lumpiness according to the first evaluation coefficient; constructing a blasting control model according to the historical blasting data, and obtaining an optimal blasting scheme by combining the drilling energy consumption coefficient and the blasting energy consumption coefficient; the energy consumption conditions of different nodes can be judged, the energy consumption of the different nodes can be reduced, and the collaboration among the different nodes can be enhanced.

The invention discloses a multi-type charging station collaborative planning method considering user comprehensive satisfaction, and relates to the field of power system planning and traffic energy infrastructure planning. Constructing a charging satisfaction model based on the fast charging waiting time and the idle slow charging pile remaining amount; based on the charging satisfaction model, establishing a superior and subordinate cascade optimization model of the multi-type charging stations; and solving the upper and lower cascade optimization model by an iteration capacity expansion method based on a greedy algorithm, converting a superior planning problem into a multi-round fast and slow charging pile configuration expansion problem, and adjusting configuration based on an operation result of a previous round in each round of iteration until a convergence condition is met. And outputting a charging station configuration scheme which meets the planning constraint and optimizes the system operation cost and the user satisfaction. And scientificity and high efficiency of charging facility layout are realized.

The invention provides a building carbon emission metering system based on a BIM technology, and belongs to the field of carbon emission metering. The problem of complicated carbon emission metering is solved; the data acquisition module is used for acquiring building material information, engineering information and operation consumption information; the data processing module is used for processing the building material information, the engineering information and the operation consumption information to obtain building material consumption, building material transportation energy consumption, manual energy consumption, mechanical energy consumption and operation energy consumption; the carbon emission calculation module is used for obtaining the total carbon emission amount of the building according to the consumption of each energy and the carbon emission factor of each energy and material; the carbon emission evaluation module is used for evaluating the carbon emission condition of the building according to the total carbon emission amount of the building and generating an evaluation report; according to the invention, the carbon emission data is acquired, the building carbon emission is calculated, and the difficulty of carbon emission metering is reduced.

The invention belongs to the technical field of industrial automation control, and particularly provides an energy-saving pump dynamic energy consumption intelligent scheduling management method based on big data, and the method mainly comprises the steps: obtaining pump set operation data and pipe network pressure data, carrying out the preprocessing of the pump set operation data and the pipe network pressure data, and obtaining standardized pipe network data; pipe network pressure difference and real-time hydraulic impedance are calculated according to the standardized pipe network data, and a hydraulic impedance model is established after verification and smoothing; and impedance parameters are extracted from the hydraulic impedance model, and the total required lift is calculated in combination with the real-time total flow. The method effectively solves the problems of overload or low-efficiency operation of a pump set, low system fluid conveying energy efficiency and high energy consumption caused by focusing a single parameter and not giving full consideration to the dynamic hydraulic coupling effect and topological change of a pipe network in traditional scheduling, can improve the overall fluid conveying energy efficiency of the pipe network system, reduces unnecessary energy consumption, and improves the system performance. And a more accurate decision support is provided for pump group scheduling.

The invention relates to the field of intelligent traffic energy control, and provides an intelligent traffic energy control method and system, and the method comprises the steps: carrying out the control of a target area according to the overall electric load capacity of the target area, the electricity price of the target area, and the temperature value of the target area; determining an electricity utilization risk index of the public transportation system in the target area, aiming at each pure electric public transportation vehicle in the plurality of pure electric public transportation vehicles, determining a power grid interaction index of the pure electric public transportation vehicles according to the available electricity quantity of the pure electric public transportation vehicles, the line priority index of the pure electric public transportation vehicles and the future task demand information; and determining a target charging and discharging strategy of the pure electric public transport vehicle according to the power utilization risk index and the power grid interaction index of the pure electric public transport vehicle. The efficiency of intelligent traffic energy control can be improved.

The invention provides slurry bone polymerized steel pipe concrete and a construction method thereof, and relates to the technical field of steel pipe concrete materials and construction methods. The slurry bone polymerization steel tube concrete is composed of aggregates which are compactly piled in a tube in advance and slurry which is injected later, and the aggregates are coarse aggregates in a single particle size range, are high in proportion and have a strong effect of restraining the shrinkage of the slurry; industrial sand, a nano material, an additive and the like are doped into the slurry to adjust the performance, so that the slurry with high fluidity, micro-expansibility and excellent mechanical properties is formed, the slurry can permeate and wrap aggregate in all directions and fill pores, and the time-sharing expansion of the slurry can further compensate for later hardening shrinkage. During construction, aggregate is directly conveyed to a site and put into a pipe, and reciprocating transportation energy consumption is reduced; the slurry is prepared by a nearby slurry preparation machine, so that the construction investment of a large mixing plant is saved; the problem that the pipe is blocked after aggregate and slurry are separated in the conventional concrete integral pumping process is solved, the shrinkage and void risk of the concrete in the pipe is small, cooperative stress of the combined structure is greatly guaranteed, and the economic and technical advantages are remarkable.

The application discloses a kind of energy consumption optimal cooperative speed planning methods for highway train, belong to intelligent transportation technical field.The method first obtains driving environment and vehicle parameter;Second, based on dynamic physical model, slope, wind resistance and other dynamic weight coefficients are calculated;Then, construct the joint objective function of fusion energy consumption, efficiency and safety, and load speed, spacing and formation sequence constraint, establish mixed integer programming model;Next, the nonlinear term in model is linearized to obtain standardization model;Finally, real-time optimization is solved using solver, and the speed, spacing and formation sequence of each vehicle are output to make the global energy consumption of formation optimal.The application overcomes the problem that the prior art lacks formation cooperation and has poor environmental adaptability, through multi-vehicle dynamics coupling and real-time optimization, realizes the joint cooperative planning of highway train speed and spacing in dynamic environment, and significantly reduces the overall transportation energy consumption.

The invention provides a gathering and transportation pipe network steam driving on-line prediction method, which comprises the following steps: acquiring steady-state and dynamic parameters from a wellhead to a united station in a gathering and transportation system, and calculating energy loss in a pipeline transportation process at a corresponding moment; standardizing the data set in the gathering and transportation process of the oil and gas field to obtain a standardized data set; determining a standardized process parameter set after feature extraction by adopting a grey correlation analysis method; performing working condition classification on the standardized process parameter set after feature extraction by adopting a K-zero near-value classifier to obtain various working condition data sets; establishing PSO-LSTM prediction models of various working conditions for various working condition data sets, and optimizing the PSO-LSTM prediction models to obtain the final optimized PSO-LSTM prediction models of gathering and transportation energy consumption of various working conditions; and predicting the energy consumption of the transported crude oil by adopting the finally optimized PSO-LSTM prediction model of the gathering and transportation energy consumption (pressure and thermal energy consumption) of various working conditions. According to the method, high-precision data-driven modeling is realized according to related variables to obtain real-time pressure and thermal loss from the production wellhead to the combination station.

The utility model discloses a semicircular weight storage structure for a gravity energy storage system, the gravity energy storage system is provided with a vertical shaft, the vertical shaft is arranged on one side or two sides of the vertical shaft, and the gravity energy storage system comprises a main roadway, a sub roadway and a transfer roadway; the main roadway is communicated with the vertical shaft, the multiple sub-roadways are arranged side by side in the length direction of the main roadway, heavy object storage positions are arranged in the sub-roadways, the ends, close to the vertical shaft, of the sub-roadways are all communicated with the main roadway, and the ends, away from the vertical shaft, of the sub-roadways are all communicated with the transfer roadway; the transfer roadway is in an arc shape, and a semicircular structure is formed between the transfer roadway and the main roadway. Compared with a conventional radial and rectangular storage form, the storage structure in the scheme has the advantages that the total transportation path, total transportation time and total transportation energy consumption of the weight blocks are reduced, continuous, stable and low-energy-consumption operation of the weight blocks in the upper / lower bins is realized, and the charging and discharging efficiency of the whole energy storage system is improved.

The present invention relates to the technical field of traffic energy management, and particularly to an intelligent integrated management system and method for traffic energy based on artificial intelligence. The present invention outputs the recommended alternative charging areas to be selected according to the calculated coincidence degree and the function values of each charging area, and can allocate them according to the mobility of electric vehicles, reducing the peak load of the distribution network; and further analyzes and calculates the standby power demand of the target vehicle, calculates the recommended charging duration of the target vehicle according to the standby power demand, and pushes it to the user side, so as to plan the charging duration of the vehicle, shorten the coincidence duration between the charging duration of the vehicle and the peak power consumption period, thereby realizing the load dispatching of the distribution network, and also reducing the charging cost of users. It can reduce the charging duration during peak hours, increase the charging duration during low peak hours, and reduce the charging cost.

The invention relates to an oil gas storage tank zero-energy-consumption temperature control system based on an asymmetric structure and a preparation method thereof, and belongs to the technical field of petrochemical engineering storage and transportation energy conservation. The system comprises a composite functional film attached to the surface of the metal outer wall of the oil and gas storage tank, and the composite functional film is composed of an anti-corrosion heat conduction bonding layer, a phase change energy storage buffer layer, a high-reflection flexible substrate layer and a dynamic asymmetric radiation refrigeration functional layer which are sequentially connected from inside to outside. A solid-liquid phase change material is packaged in the phase change energy storage buffer layer, and volume deformation is generated during phase change; the outer surface of the dynamic asymmetric radiation refrigeration functional layer is provided with a micron-sized asymmetric sawtooth structure, and the micron-sized asymmetric sawtooth structure comprises first slopes and second slopes which are arranged alternately. The device has the advantages that the dynamic adjustment of the inclination angle of the asymmetric sawtooth structure is driven by utilizing the volume deformation of the phase change material through a thermomechanical-optical coupling mechanism, the self-adaptive optical adjustment of high temperature and high radiation and low temperature and low radiation is realized, meanwhile, all-weather and zero-energy-consumption intelligent thermal management is realized, and the breathing loss of the storage tank is effectively inhibited.

This invention belongs to the field of packaging product technology, specifically a bamboo-based cushioning and protective packaging product, its preparation method, and its application. This invention uses bamboo material to replace petrochemical-based cushioning materials, utilizing the properties of bamboo material to undergo plastic deformation under humidification, high heat, and high pressure, and to solidify upon cooling, to produce cushioning and protective packaging products. Bamboo material is renewable, biodegradable, and has excellent environmental performance; bamboo material has a high elastic modulus, which, compared to traditional cushioning materials, can significantly reduce the thickness of the product under the same cushioning and protection requirements, significantly reducing packaging volume and transportation energy consumption; by setting a double-wall structure, a hollow sandwich is formed between the inner and outer shells, combined with a cushioning support structure, balancing cushioning performance and support strength; by setting a cushioning structure and a composite elastic cushioning layer, the cushioning effect is further optimized; by pressing cross-layered bamboo strips into a reconstituted bamboo with balanced properties as the base material, the problems of easy cracking and poor dimensional stability of natural bamboo are solved.

The invention discloses an active aerodynamic energy-saving method, which belongs to the technical field of transportation energy conservation, is used for solving the problems of reducing dependence on traditional energy and reducing carbon emission, and comprises a train and a wind generating set mounted at the top of the train, the wind generating set comprises a wind wheel, a generator, a speed regulating mechanism and a tower; when the train is started and starts to run, the wind generating set installed on the top of the train works according to the following steps of 101, airflow capturing, 102, mechanical energy conversion, 103, electric energy generation, 104, electric energy adjusting and controlling, 105, energy storage and distribution and 106, safety and stability guaranteeing. The wind generating set is installed on the top of the train, air kinetic energy in the train running process is converted into electric energy, part of energy is provided for the train, energy consumption is reduced, and the energy utilization efficiency is improved.

The application discloses a natural gas wellhead gathering and transportation method and system, a power supply method and device. High-pressure dry gas obtained through high-pressure well products of a gas well wellhead is sent to a differential pressure generator to generate electricity, and low-pressure low-temperature dry gas is output; a part of the low-pressure low-temperature dry gas is electrically heated to obtain high-temperature dry gas reaching a preset temperature, and the high-temperature dry gas is input into a molecular sieve tower to adsorb moisture to obtain high-temperature wet gas; wherein, the electric energy required by electric heating and a molecular sieve tower electric valve is supplied by the differential pressure generator; the high-temperature wet gas and another part of the low-pressure low-temperature dry gas are heat-exchanged to obtain cooled wet gas and reheated dry gas respectively; the cooled wet gas is input into a regenerated gas separator to obtain separated regenerated gas, and the reheated dry gas is mixed with the separated regenerated gas to obtain mixed gas meeting pipeline transportation requirements. The method fully utilizes the formation pressure energy in the natural gas gathering and transportation process, optimizes gathering and transportation energy consumption, realizes wellhead energy self-sufficiency, avoids regenerated gas waste and saves regenerated gas deep dehydration energy consumption.