17 results about "Transportation energy" patented technology

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 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 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 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 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 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.

The invention discloses an unmanned aerial vehicle blood distribution path optimization method and system for a mountainous area three-dimensional terrain, and the method comprises the steps: building an objective function through the sum of the minimum fixed cost, the transportation energy consumption cost, the refrigeration cost and the time window penalty cost, building a mountainous area complex constraint condition system, setting a decision variable definition domain, and carrying out the optimization of the unmanned aerial vehicle blood distribution path. A path optimization model adapting to the three-dimensional terrain of the mountainous area is constructed; and solving the model by using an improved elite ant colony algorithm, and performing iterative optimization through a dynamic volatilization factor and an elite reward and punishment mechanism to obtain an optimal unmanned aerial vehicle blood distribution path and a corresponding parameter scheme. According to the method, a corresponding algorithm is designed on the basis of the path optimization model to improve the global optimization capability and the convergence rate, the cost minimization, the time maximization and the reliability enhancement of the blood distribution path are realized, and the method is particularly suitable for emergency medical logistics scenes in mountainous areas.

This invention discloses a high-temperature resistant, corrosion-resistant, and drag-reducing coating for the inner wall of long-distance heating pipelines, its preparation method, and its application, belonging to the field of pipeline functional coating technology. The coating comprises a main agent A and an amine curing agent B. Main agent A uses modified epoxy resin and modified fluoropolymer as film-forming substances, combined with fillers such as talc and zinc phosphate, and specific functional additives, and is prepared through premixing, dispersion, shearing, and grinding. When sprayed onto the inner wall of long-distance heating pipelines, this coating forms a coating with a water contact angle of 113°, a surface roughness ≤2.27μm, a glass transition temperature Tg >130℃, and shows no significant corrosion after being boiled in 95℃ water for 900 days. Simultaneously, it reduces fluid friction resistance by 38.7% and transportation energy consumption by approximately 39%, effectively solving the problems of poor pipeline temperature resistance, high corrosion risk, and high resistance, extending pipeline life, and possessing both safety and energy-saving value.

The application discloses a kind of low-energy consumption chemical experiment AI intelligent scheduling system and method of fusion AGV feedback, system includes experiment task analysis and modeling module, multi-source heterogeneous sensing and data fusion module, intelligent scheduling and dispatch kernel module, interactive scheduling confirmation and visualization module and instruction issue and dynamic feedback execution module.The application realizes the deep coupling of chemical process logic and AGV dynamic feedback by directly incorporating AGV physical operating characteristics into scheduling constraints;Through the construction of improved NSGA-III multi-objective optimization model with total completion time, AGV total transportation energy consumption and chemical timeliness satisfaction as the target, and the introduction of dynamic penalty mechanism based on health degree, the efficiency, energy efficiency and timeliness are balanced organically;Through the double-layer architecture of global optimization and local rescheduling and closed-loop dynamic feedback execution mechanism, the system can automatically trigger local rapid replanning when facing AGV blockage, low battery and other abnormalities.

This invention belongs to the field of deep-sea mineral resource mining technology and discloses a method for optimizing parameters for vertical lifting of deep-sea granular ore. Under a set conveying capacity, the method optimizes parameters based on the liquid flow velocity V and the critical flow velocity u of the granules. l Satisfying V>u l Under the constraint of +1.5, the pipe inner diameter, particle volume concentration, and liquid flow velocity corresponding to the minimum unit frictional resistance are accurately determined. This invention can effectively improve the efficiency of vertical lifting of deep-sea particle ore, reduce transportation energy consumption, and provide technical support for the efficient mining of deep-sea mineral resources.

The invention provides a foaming light diffusion plate and a preparation method and application thereof, and particularly relates to the technical field of light diffusion plates. The foaming light diffusion plate comprises an upper layer, a middle layer and a lower layer which are arranged in a stacked mode, and every two adjacent layers are different in structure. The upper layer is provided with a large foam structure, a small foam structure or a solid structure; the middle layer is provided with a large foam hole structure and / or a small foam hole structure; and the lower layer has a large foam structure, a small foam structure or a solid structure. According to the foaming light diffusion plate, a differentially designed foam system is introduced into a three-layer structure, so that optical performance matching of high light transmittance, high haze and high brightness uniformity is realized. Large bubbles are used as light channels to reduce light scattering loss so as to improve the light transmittance, and meanwhile, small bubbles are used for enhancing the light scattering capacity so as to improve the haze and the light uniformizing effect. According to the invention, the density is as low as 0.70-0.85 g / cm < 3 >, the lightweight effect is obvious, the uniformity is greater than or equal to 84.2%, the material has good mechanical properties and heat resistance, and the material cost and the transportation energy consumption are reduced.

The application relates to the technical field of logistics management, and discloses a temperature control and scheduling method and system for temperature-controlled logistics boxes based on thermal budget, which comprises the following steps: step 1, multi-source data acquisition; step 2, thermal budget calculation and control optimization; step 3, cloud collaborative scheduling and dynamic path planning; and step 4, strategy execution, state feedback and fault-tolerant control. Through the temperature control and scheduling integrated scheme for temperature-controlled logistics boxes based on thermal budget, the temperature accurate regulation and control capability and the dynamic scheduling efficiency of the temperature-controlled logistics boxes are significantly improved, the problems of large temperature fluctuation, scheduling response lag and high energy consumption of the traditional temperature-controlled logistics boxes in multi-scene transportation are solved, the stable maintenance of the temperature in the box and the optimal configuration of logistics resources are realized based on the dynamic algorithm and multi-node collaborative scheduling based on thermal budget, and the temperature control precision and transportation energy efficiency are effectively balanced.

The invention discloses a distributed collaborative optimization operation method and system for a traffic infrastructure microgrid cluster, and belongs to the technical field of distributed energy system control. In order to solve the problems of poor energy complementarity and low overall economy in an independent operation mode of the existing traffic infrastructure micro-grids, and high single-point fault risk of a centralized control architecture, the method comprises the following steps: organizing a plurality of traffic infrastructure micro-grids into a cluster; each micro-grid calculates optimized operation parameters including a power instruction by using a local optimization model based on local operation information of the micro-grid and shared information from adjacent micro-grids, and performs iterative updating by using a distributed consensus algorithm so as to achieve consistency with a global target of minimizing the total operation cost of a cluster; and finally, each micro-grid adjusts and executes an operation strategy according to a consensus result. The method is mainly used for improving the energy utilization efficiency, the operation economy and the system reliability of the traffic infrastructure microgrid cluster, and supporting power grid interaction and sustainable traffic energy management.

The embodiment of the invention provides a carbon footprint accounting method, device and equipment based on a passive internet of things, and a medium. The invention belongs to the technical field of computers. The method comprises the following steps: acquiring article basic information and article positioning information reported by a passive tag of an article through a base station; the method comprises the following steps: acquiring current carrier attribute information, carrier positioning information and bearing information reported by a passive tag of a current carrier used for transporting articles through a base station; the object track and the current carrier transportation track are analyzed; determining a first transportation energy consumption parameter according to the basic information of the article, the transportation track of the current carrier and the attribute information of the current carrier; determining a first bearing distribution parameter according to the article basic information and the bearing information; a first transport carbon footprint accounting result of the article is determined. According to the technical scheme, the passive label data of the article and the carrier are collected through the base station, track analysis is combined, carbon footprint refined accounting is completed, and the accuracy and accounting efficiency of carbon footprint accounting are improved.

The present application relates to the technical field of logistics scheduling optimization, in particular to an intelligent scheduling transportation path optimization method and system for bulk goods, comprising the following steps: based on order area distribution, analyzing tonnage, starting and ending coordinates and time limit, constructing a transportation task quantization matrix, combining road network level, node distance and terminal throughput to form a traffic impedance network, screening feasible paths under load constraints, and completing vehicle scheduling and path matching results. In the present application, unstructured demand is processed through structured modeling, realizing deep integration of road network dynamic impedance and vehicle traffic load, optimizing heavy load transportation path loss and strengthening vehicle and cargo resource collaborative configuration, improving scheduling response speed, ensuring timely delivery of tasks, reducing transportation energy consumption, optimizing resource allocation efficiency, effectively solving the problems of insufficient road network pressure perception and unbalanced vehicle and cargo matching under traditional scheduling mode, enhancing system anti-interference ability, and realizing closed-loop management of bulk cargo transportation process.