768 results about "Energy reduction" patented technology

The invention discloses an intelligent factory data intelligent analysis and management system, and relates to the technical field of data analysis. Multi-source data are uniformly accessed through an industrial gateway, and a knowledge graph is constructed after cleaning and standardization; an edge node deploys a lightweight AI model to realize real-time analysis such as equipment anomaly detection; intelligent distribution of cloud side tasks is realized based on a decision model; optimizing production scheduling and quality control by using an algorithm; a zero-trust architecture is adopted to guarantee safety, and efficient energy management is realized in combination with reinforcement learning; all the modules work cooperatively, and the intelligent level of a factory is improved. The operation efficiency and quality of the intelligent factory are effectively improved. Efficient data fusion processing is realized, and equipment anomaly detection is more accurate; the order delivery period is shortened, and the product reject ratio is reduced; network security protection is enhanced, and energy waste is reduced; the decision response speed is accelerated, the decision accuracy is improved, cost reduction and efficiency improvement of enterprises are comprehensively assisted, and the competitiveness is enhanced.

The invention discloses an AI computing power equipment intelligent energy consumption management system and method based on big data, and relates to the technical field of data center energy consumption management, the method comprises the following steps: obtaining real-time operation data of AI computing power equipment, the real-time operation data comprising load characteristic parameters, energy consumption characteristic parameters, environment characteristic parameters and equipment state parameters; obtaining a load discrimination value according to the load characteristic parameter; obtaining an energy consumption discriminant value according to the energy consumption characteristic parameters; acquiring an environment discrimination value according to the environment characteristic parameters; acquiring a state discrimination value according to the equipment state parameter; fusing the load discriminant value, the energy consumption discriminant value, the environment discriminant value and the state discriminant value to generate a comprehensive energy efficiency index; judging whether the comprehensive energy efficiency index exceeds a preset dual-threshold decision interval or not; if the upper limit threshold value is exceeded, triggering graded consumption reduction response, including dynamic frequency modulation, task migration or equipment dormancy; and if so, determining that the current operation mode is in a high-energy-efficiency state and maintaining the current operation mode.

The invention relates to the technical field of mine environment control, and discloses an intelligent environment monitoring and control method in a mine laneway. The method comprises the steps that a real-time environment parameter set of a mine laneway is collected, the set contains gas concentration data, dust concentration data and temperature and humidity data, and real-time capture of laneway environment multi-dimensional parameters is achieved; then, based on the collected real-time environment parameter set, calculating an environment safety evaluation index so as to scientifically and objectively reflect the roadway environment safety condition; a dynamic control strategy is generated according to the environmental safety evaluation indexes, and the strategy comprises ventilation equipment regulation and control parameters and early warning level parameters and can be flexibly adjusted according to environmental changes; and finally, the ventilation equipment regulation and control parameters are sent to a mine ventilation system, and roadway environment regulation and control are executed. According to the method, environmental parameters can be comprehensively monitored, safety risks can be accurately evaluated, ventilation equipment can be flexibly regulated and controlled, the early warning function can be perfected, energy waste can be reduced, labor intensity can be reduced, and underground operation safety and mining efficiency can be guaranteed.

The invention provides a coal mine fluidized mining dynamic disaster prevention and control method and system, and relates to the technical field of disaster prevention and control. The method comprises the following steps: establishing a risk map based on mining area multi-field information, setting a seismic source intensity upper limit, a path attenuation target and an energy absorption displacement target, implementing in-situ transformation under the constraint of a control index to form a distributed micro-fracture network, and calculating a residual dynamic load spectrum to weaken a seismic source; according to the residual dynamic load spectrum, constructing an artificial barrier and an energy absorption band with wave impedance abrupt change so as to realize propagation energy reduction; a flexible energy absorption protection system is configured according to the residual dynamic load spectrum and the propagation attenuation coefficient, micro-seismic, stress and displacement data are monitored in real time, and parameter self-adaptive correction is achieved through linkage treatment triggered by a threshold value. According to the method, a source-diameter-field integrated active prevention and control system is constructed, dynamic regulation and control and closed-loop management in the fluidized mining process are achieved, and the intrinsic safety and the intelligent level of deep mining are remarkably improved.

The invention discloses sorting equipment for computer hardware, which belongs to the technical direction of computer hardware processing, and comprises a computer hardware conveying table, three groups of cameras are arranged on the table top of the computer hardware conveying table in an array mode, and the three groups of cameras are respectively a first camera, a second camera and a third camera. A computer hardware shell is further placed on the computer hardware conveying table, a mounting hole is formed in the side face of the computer hardware conveying table, and a first camera, two sets of hardware clamping blocks and two sets of pressure sensors are used in cooperation; pressure detection of different forces can be carried out on corners of computer hardware shells of different sizes, defective products are automatically sorted out, manual collection by workers is not needed, the burden of the workers is relieved, defect detection operation can be independently carried out on the four corners of the computer hardware shells, and the working efficiency is improved. And after cracking, subsequent pressure detection operation does not need to be carried out, the products are directly sorted into defective products, energy consumption is reduced, and the effects of energy conservation and emission reduction are achieved.

The invention discloses an air conditioner control method, device and equipment based on millimeter wave radar and a medium. The method comprises the following steps: acquiring position data and motion data of personnel in a space area in real time through a millimeter wave radar, and dynamically dividing the space area into a plurality of temperature control areas through a clustering algorithm according to the position data; according to the area of the temperature control area, the personnel density and the motion data, the thermal load capacity corresponding to the temperature control area is calculated through a preset thermal load prediction model; and air conditioner operation parameters of the temperature control area corresponding to the thermal load capacity are adjusted according to the thermal load capacity. The thermal load capacity of different temperature control areas is calculated through the thermal load model, the different temperature control areas can adjust the operation parameters of the air conditioner according to the corresponding thermal load capacity, in this way, each temperature control area can accurately meet the temperature requirement of the corresponding temperature control area, regional accurate dynamic regulation and control of the air conditioner are achieved, energy waste is reduced, and the energy efficiency is improved. And the comfort is improved.

The invention discloses a charging station flow intelligent regulation and control sharing system based on a big data model. The system comprises a data acquisition module which acquires charging station flow data, user behavior data, power grid load data and environment data in real time; the big data analysis engine is used for predicting future charging demand distribution based on a spatial-temporal feature extraction algorithm and a deep neural network model; the dynamic regulation and control module is used for generating a charging pile distribution strategy according to a prediction result and optimizing charging power distribution; the intelligent division module is used for dynamically calculating the division proportion based on the real-time load, the service priority and the partner weight; and the visual interaction platform is used for providing real-time monitoring and scheduling suggestions for an operator and a user. Through fusion of multi-source data prediction, a multi-target optimization algorithm and a dynamic division strategy, efficient distribution of charging resources and fair distribution of income are realized. The system significantly reduces the waiting time of the user, improves the utilization rate of the charging pile, reduces the energy waste, and is suitable for urban, highway and multi-region cooperation scenes.

The invention relates to the technical field of boilers, in particular to a boiler container waste heat recovery device. The boiler container waste heat recovery device comprises a boiler assembly, a material raising and collecting assembly made of high-temperature-resistant materials, a waste heat recovery assembly and a plurality of cleaning and knocking assemblies, the boiler assembly comprises three L-shaped supporting rods, a boiler part, a smoke exhaust pipe and a collecting pipe, and the material raising and collecting assembly comprises a blocking part, a scraping part and a valve part. The waste heat recovery assembly comprises a conveying pipe and a water storage piece. The boiler part is used for heating water in the boiler part, the smoke exhaust pipe and the collecting pipe are used for exhausting smoke and impurities generated by fuel, the blocking part is used for filtering the smoke and the impurities generated by the fuel, the scraping part is used for scraping the impurities at the bottom of the blocking part and fixing fuel particles, and the waste heat recovery assembly can fully utilize heat exhausted by the boiler part, so that energy waste is reduced; and the multiple cleaning and knocking assemblies can sweep and knock the conveying pipe, so that the heat transmission efficiency is improved, and energy waste is reduced.

The utility model discloses a high-temperature-resistant flash valve exhaust nozzle structure which comprises a pipe body and an energy reduction structure. The energy reduction structure comprises at least two stages of ceramic energy reduction units which are connected in series, and the ceramic energy reduction units are connected in the pipe body; the ceramic energy reduction unit comprises a first-stage energy reduction assembly and a second-stage energy reduction assembly; the first-stage energy reduction assembly comprises a first ceramic spray pipe and a first liner pipe; the first lining pipe sleeves the outer side of the first ceramic spray pipe; the first liner tube is arranged in the tube body; the second-stage energy reduction assembly comprises a second ceramic spray pipe and a second liner pipe; the second lining pipe sleeves the outer side of the second ceramic spray pipe; the second liner tube is arranged in the tube body; the end of the first ceramic spray pipe abuts against the end of the second ceramic spray pipe. And a medium flows out of the pipe body after sequentially passing through the first-stage energy reduction assembly and the second-stage energy reduction assembly from the inlet end of the pipe body. According to the multi-stage energy reduction device, the multi-stage energy reduction assemblies connected in series are adopted, medium pressure can be decomposed into stage-by-stage release, and therefore the fluid speed is effectively reduced, and dependence on a high-temperature adhesive is also avoided.

The invention relates to the technical field of virtual power plants, and discloses a virtual power plant load prediction and optimization control method, which comprises the following steps: obtaining historical operation load data of a virtual power plant for characteristic decomposition to obtain a trend component, a seasonal component and a residual component, inputting the trend component, the seasonal component and the residual component into a load prediction model based on LSTM (Long Short Term Memory), and obtaining a load prediction value in a future set time period; calculating theoretical output of renewable energy sources to determine supply and demand conditions of energy supply and load prediction values; controlling energy storage charging or discharging and controlling the fossil fuel generator set to be started or stopped by combining the peak and valley conditions of the load prediction value; actual operation data of the virtual power plant are collected in real time, deviation meeting the predicted value is compared, and the energy storage charging and discharging strategy and the fossil fuel generator set output strategy are adjusted. According to the method, by accurately capturing load characteristics and cooperatively optimizing a multi-energy scheduling and dynamic adjustment mechanism, the operation stability and economy of the virtual power plant are improved, the energy waste is reduced, and the adaptability to a power system is enhanced.

The invention relates to the field of equipment control, in particular to a water tank penetrating air source self-adaptive adjusting method and system. The method comprises the following steps: acquiring a finishing mill start-stop signal and a wire rod head position signal in real time; dynamically calculating the residual distance from the head of the wire rod to the penetrating water tank, and generating a dynamic delay opening threshold value; the electromagnetic valve is controlled to open the pneumatic ball valve in a sectional manner; monitoring the covering length of the wire rod and converting the covering length into an equivalent gas resistance value; a dynamic pressure compensation amount is generated through a pressure closed-loop controller; the opening degree of the pneumatic ball valve is adjusted accordingly; when the finishing mill stops, the pneumatic ball valve is triggered to be closed, and a gradient pressure relief turn-off program is executed if necessary. By means of the distributed sensor array and the multi-mode recognition neural network, real-time accurate monitoring and analysis of the operation state of the pump set are achieved, dependence of post personnel is reduced, and the automation degree and stability are improved. And by dynamically optimizing the control strategy, the pump set system operates efficiently, energy waste is reduced, the energy utilization efficiency is improved, and the production cost is reduced.

The invention relates to an energy-saving regulation and control method and system for a central air conditioner. The method comprises the steps that real-time environment parameters are obtained; based on the real-time environment parameters, a machine learning algorithm is adopted to construct an environment comfort degree evaluation model, a comfort degree evaluation value is calculated, and if the comfort degree evaluation value is lower than a preset comfort degree threshold value, an air conditioning system adjusting instruction generation process is triggered; performing optimization calculation on the operation parameters of the air conditioning system through a particle swarm optimization algorithm, and determining an optimal combination of air supply temperature and fan rotating speed parameters; and according to the optimal air supply temperature and fan rotating speed parameter combination, the air supply temperature and the fan rotating speed of the air conditioner end equipment in each area are automatically adjusted. Air conditioner operation parameters are optimized through an intelligent algorithm, energy waste is reduced, and building energy consumption is reduced; multi-dimensional environment parameters are comprehensively considered, and it is ensured that the indoor environment is always in a comfortable state; manual intervention is reduced, and automatic regulation and control and intelligent management of the air conditioning system are achieved.

The invention relates to a waste water auxiliary drainage device for a rotary screen paper machine, which comprises a composite roller, a waste water drainage device and a waste water drainage device, wherein the composite roller is used for extruding coarse cotton cloth and is positioned above a screen part; the water guide mechanism is used for guiding and draining water extruded from the coarse cotton cloth; the water guide mechanism comprises a drainage assembly used for guiding water out; the energy reducing assembly is used for reducing the impact potential energy of water on the drainage assembly; and the water guide mechanism is arranged behind the composite roller along the motion direction of the coarse cotton cloth. According to the rotary screen paper machine, a traditional linear mop is improved into an innovative and adjustable splayed totally-closed dewatering device, so that the problem of water removal in a composite area of the rotary screen paper machine is successfully solved, and the quality of a final product is effectively improved.

The utility model provides an emulsified asphalt heating device which comprises an air heater, a tank body and a heating unit, the air heater introduces hot air into an air inlet pipe, and heat is uniformly transferred to emulsified asphalt through a coil pipe. A stirring assembly in the device is composed of a sleeve, a plurality of stirrers, arc-shaped fan blades, a guide cylinder and the like, and the stirrers are driven to rotate under the action of airflow, so that emulsified asphalt is effectively stirred, and layering is avoided. By optimizing the structural design of the coil pipe and the airflow channel, hot air can be uniformly distributed, the heating process of emulsified asphalt is accelerated, and meanwhile, the heating efficiency is improved. Due to the design of the stirring assembly, the emulsified asphalt is always kept uniform in the heating process, and the defects of non-uniform heating and insufficient stirring possibly occurring in a traditional heating device are overcome. In addition, the device can reduce energy waste and achieve an energy-saving effect by accurately controlling the gas flow and the stirring force. The device has the advantages of reasonable structure, simplicity and convenience in operation and good heating and stirring effects.

The invention relates to the technical field of photovoltaic power generation, in particular to a photovoltaic charging and discharging control method and system based on a direct-current coupling optical storage all-in-one machine, and the method comprises the steps: monitoring system operation parameters in real time; after the countercurrent risk is judged, energy storage is preferentially utilized to absorb redundant electric energy; when the stored energy is saturated, the photovoltaic output is dynamically adjusted instead of shutdown; when photovoltaic power generation is insufficient, the gap is supplemented through energy storage discharge. By monitoring system operation parameters in real time and dynamically coordinating photovoltaic power generation, energy storage charging and discharging and load requirements, photovoltaic energy is utilized to the maximum extent while reverse current of a power grid is avoided, redundant electric energy is preferentially stored in a battery, and photovoltaic output is intelligently adjusted instead of direct shutdown after energy storage is saturated; and when the load demand is higher than that of photovoltaic power generation, a gap is supplemented through energy storage discharge, so that energy waste is remarkably reduced, the system operation time is prolonged, the overall power generation income and economy are improved, and safe and stable operation of a power grid is ensured.

The invention relates to the technical field of waste gas recovery, and discloses a waste gas recovery treatment device and a printing waste gas treatment technology.The waste gas recovery treatment device comprises a main shell, an auxiliary shell and a strip-shaped shell which are integrally arranged, the auxiliary shell is located on one side of the main shell, and the strip-shaped shell extends to the top of the auxiliary shell from the top of the main shell; two groups of main adsorbers and a plurality of groups of auxiliary adsorbers are arranged in an inner cavity of the main shell. By arranging the heat exchanger, the auxiliary shell, the two sets of main adsorbers and the driving assembly, the two main adsorbers connected in series can be switched for use, rapid saturation of a single main adsorber is avoided, the saturated adsorbers can be subjected to desorption regeneration in the auxiliary shell, recycling is achieved, the overall adsorption efficiency of harmful substances is improved, and in addition, the adsorption efficiency of the harmful substances is improved. By arranging the heat exchange assembly, the rapidly saturated main adsorber can be cooled, then the safety risk is reduced, overheating ignition is prevented, the high temperature of the main adsorber can also heat a nitrogen source for desorption, energy loss is reduced, and more energy is saved.

The invention provides a multi-satellite cooperative beam position distribution method, system and device, and an electronic device, which can solve the technical problem of low operation efficiency in a multi-satellite multi-beam position scene in the prior art. The method comprises the following steps: determining a coverage wave position set of a to-be-distributed satellite at a first moment; determining a to-be-transmitted service priority of each coverage wave position in the coverage wave position set; according to the priority of the service to be transmitted, based on a first preset condition, determining a first target satellite of each coverage wave position; the remaining irradiation time of the first target satellite is greater than or equal to a preset beam position distribution period; and according to the first target satellite and the coverage wave position, obtaining a wave position distribution result of each to-be-distributed satellite. And invalid calculation is reduced through priority screening of to-be-transmitted services. And screening the first target satellites of which the residual irradiation time is greater than or equal to the preset period, excluding satellites of which the time does not reach the standard, simplifying a matching link and ensuring continuity, thereby preventing multiple satellites from competing for resources, reducing interference and reducing energy loss.

The invention provides an adjusting control method and system for a plate radiator fan, and relates to the technical field of adjusting control, which comprises the following steps: determining the initial rotating speed of the fan by acquiring indoor temperature and a target temperature value, monitoring the temperature gradient of an air inlet and an air outlet in real time, establishing a temperature gradient prediction model, and gradually increasing the rotating speed when the predicted gradient is less than a threshold value. When the indoor temperature is larger than the upper limit, the rotating speed is gradually reduced, and the optimal rotating speed value is recorded when the indoor temperature reaches the standard. The heat dissipation efficiency can be improved, energy waste is reduced, accurate control over the indoor temperature is achieved, and the comfort level of a user is improved.

The invention discloses an intelligent driving simulation method and system based on multi-agent reinforcement learning, relates to the technical field of intelligent driving, and is used for solving the problems that a traditional path planning method is generally based on a static map and rules, is difficult to adapt to a dynamically changing traffic environment, easily causes a local optimal solution, and is inconvenient to use. The problems that an allocation strategy is based on a fixed rule or a simple heuristic algorithm, energy is wasted, the endurance mileage is shortened, and selection of an attenuation method has important influences on the convergence speed and stability of the algorithm are solved. Through multi-agent reinforcement learning, the system can realize intelligent path planning, power distribution and vehicle speed adjustment, and the automation level of driving is improved. Safety, efficiency and comfort are comprehensively considered, multi-objective optimization is achieved in a complex traffic environment, the overall driving performance is improved, high robustness and adaptability are achieved, a battery energy consumption distribution strategy is dynamically adjusted, and energy waste is reduced.

The invention relates to the technical field of refrigeration equipment intelligent supervision, and discloses a refrigeration equipment operation supervision method and system based on multi-dimensional data analysis, and the method comprises the steps: collecting multi-dimensional operation data of refrigeration equipment; remote start-stop control and operation parameter adjustment are carried out on the equipment, and a control task is automatically executed based on a preset schedule; monitoring equipment states in real time, setting dynamic early warning thresholds according to equipment types and working conditions, and performing graded early warning; fusing and analyzing the multi-dimensional data, generating a correlation analysis chart and calculating a comprehensive energy efficiency ratio; and an operation strategy is dynamically optimized through a data driving model, and the optimal number of water chilling units, the chilled water temperature and the cooling tower fan rotating speed are solved. The system corresponds to the method. According to the application, the problems of single traditional supervision data, low control efficiency, inaccurate early warning and the like are solved, closed-loop supervision is realized, the equipment operation efficiency is improved, and the energy waste is reduced.

The invention discloses a portable wireless radio frequency switching method and system, a medium and a program product, and relates to the field of transmission, in the method, a switching device obtains a radio frequency signal strength value of a device to be switched; the switching device sends an awakening instruction and a handshake request to a to-be-switched device which is in a deep sleep state and keeps low-power-consumption monitoring; executing the handshake request to establish a secure communication connection; the switching device sends the encrypted radio frequency configuration data to a device to be switched, and the device to be switched writes the encrypted radio frequency configuration data into a nonvolatile memory; after the equipment to be switched completes writing of the encrypted radio frequency configuration data, a confirmation signal is sent to the switching equipment, the deep sleep state is automatically switched to, and low-power-consumption monitoring is kept. On the basis of keeping certain power to monitor the configuration request, low-power-consumption standby is realized, so that energy waste is reduced, and the use cost of equipment is reduced.

The invention discloses a safety control method of a hydrogen power source. The method comprises the following steps: parameter initialization: setting and initializing electrolytic cell efficiency curve data, control parameters, power generation parameters and a reference operation state of a hydrogen production electrolytic cell; and data acquisition: power prediction data, running state information (including temperature, pressure and current) of the electrolytic cell and real-time power generation data of power generation equipment (photovoltaic / wind power) are acquired in real time. According to the safety control method for the hydrogen power source, efficiency curve data and control parameters of the electrolytic cell are accurately set through the parameter initialization step, and a foundation is laid for efficient operation. And a real-time data acquisition and power generation equipment state judgment step: dynamically adjusting a control strategy according to the grid-connected state of the power generation equipment, maximizing the power generation capacity or realizing smooth power output, and reducing energy waste. In the control instruction generation step, optimal set power is calculated by using a mixed integer linear programming algorithm, the electrolytic cell is ensured to operate in a high-efficiency area, and the system efficiency is integrally improved.

The invention discloses an ion thinning instrument control method based on a self-adaptive gradient energy reduction algorithm, and belongs to the technical field of transmission electron microscope (TEM) sample preparation. The problem that a traditional ion thinning technology has many limitations is solved, dynamic optimization of parameters such as ion beam energy, beam current density and sample temperature is achieved through the self-adaptive gradient energy reduction algorithm, and the sample preparation efficiency is remarkably improved; by combining multi-modal data acquisition and dynamic gradient optimization, the thinning process can be accurately controlled, and the sample quality is improved; sample damage is effectively avoided by combining a damage constraint mechanism and self-adaptive step length control, and the stability of the preparation process is improved; the method is suitable for various materials through a pre-stored optimization path library, and has wide applicability; therefore, the energy of the ion beam is optimized, the incident angle and the beam density are dynamically adjusted, and the thinning instrument is controlled.

The invention relates to the field of hydrogenation device pipeline temperature-maintaining hot water heat exchangers, in particular to a hydrogenation device temperature-maintaining hot water heat exchanger structure which comprises a bottom frame, a sliding plate, side plates, rectangular frames, a transverse pipe, a spiral pipe, a wiping unit, a driving assembly, a pipeline assembly, a connecting assembly and a driving unit. Petroleum flows into the spiral pipe through the transverse pipe and exchanges heat with hot water in the closed frame. The wiping unit is in magnetic linkage with a magnetic ring through an electromagnetic plate to synchronously clean the inner side and the outer side of a spiral pipe, and a brush assembly cleans scale on the inner wall of a rectangular frame; the branch water inlet pipe is matched with multiple pipelines to operate alternately, water can be supplied selectively, and the sliding plate and the supporting plate are linked to achieve separation of the rectangular frame and convenient disassembly and assembly of the spiral pipe. The device improves the heat exchange efficiency and the temperature control precision, reduces the maintenance difficulty, reduces the energy waste, and guarantees the smooth operation of the pipeline.

The invention discloses an open pit coal mine ground production system collaborative operation method based on an Agent simulation technology, and belongs to the technical field of coal storage and transportation. The method comprises the following steps: constructing a data acquisition and environment perception Agent, an anomaly detection and coordination management Agent, an optimization calculation Agent and a control execution Agent; the method comprises the following steps: collecting coal flow, coal type characteristics and equipment operation data of a conveying system in real time, and constructing a multi-objective optimization function taking energy consumption minimization, space utilization rate maximization and equipment load balance as objectives in combination with bin space capacity, coal pile three-dimensional form and environmental parameters of a storage system; an improved particle swarm optimization algorithm is adopted to solve optimal control parameters, and the belt conveyor speed, the coal type distribution priority and the emergency path are dynamically adjusted; through a closed-loop feedback mechanism, material blockage, shipping space overrun and equipment faults are monitored in real time, a self-healing strategy is triggered, and the model is updated. The hysteresis control defect of a traditional storage and transportation system is overcome, the operation efficiency is remarkably improved, and energy waste is reduced.

The invention discloses a linkage control method and device for a vehicle-mounted refrigerator and an air conditioner, electronic equipment and a medium, and the method comprises the steps that in response to a starting instruction for the vehicle-mounted refrigerator, the current environment temperature is detected; if the current environment temperature is higher than the preset temperature threshold value, an air conditioner is started for cooling; and when the environment temperature drops to the starting triggering temperature of the vehicle-mounted refrigerator or the starting duration of the air conditioner reaches the preset duration, the vehicle-mounted refrigerator is started, and the refrigerating power of the vehicle-mounted refrigerator is dynamically adjusted. Through linkage control over the air conditioner and the vehicle-mounted refrigerator, the vehicle-mounted refrigerator starting instruction is responded to firstly start the air conditioner for cooling in the high-temperature environment, and the vehicle-mounted refrigerator is started after the environment temperature reaches the standard or the air conditioner operates to the preset duration, so that the problem that heat dissipation of the vehicle-mounted refrigerator is affected by high temperature is effectively avoided, the refrigerating efficiency is remarkably improved, the refrigerating time is shortened, and the refrigerating efficiency is improved. The temperature stability when the compressor refrigeration vehicle-mounted refrigerator stops running is guaranteed; and meanwhile, the limitation of independent operation is broken through, energy redundancy consumption is reduced, the refrigerating power is dynamically adjusted after the vehicle-mounted refrigerator is started, and the stable refrigerating effect is ensured.

The invention relates to the technical field of intelligent energy-saving planning, in particular to a near-zero-energy-consumption community precise planning platform, which is characterized in that a building environment heat and humidity monitoring module is used for acquiring environment parameters of community buildings, calculating air temperature and humidity gradients, setting humidity permeability coefficients, analyzing the influence of humidity on an aerodynamic environment and acquiring air humidity and wind speed correction data; according to the method, the air temperature and humidity gradient and the humidity permeability coefficient are dynamically monitored, quantitative analysis of humidity on the aerodynamic environment is achieved, and the accuracy of water vapor diffusion and building envelope heat exchange evaluation is improved. Through calculation of air flow density distribution and buoyancy driving force, a complete analysis framework from heat and humidity exchange to air flow backflow is constructed, the air flow backflow path of the building group is optimized, and the calculation precision of heat exchange between buildings is improved. In combination with damp and hot load calculation, load matching of cooling and heating equipment is more accurate, energy waste is reduced, and system stability is improved.

The present invention relates to the technical field of fastener cutting, and discloses an automatic cutting device for fastener processing, including a cutting table. On both sides of the upper surface of the cutting table, there are provided limiting abutting parts. The limiting abutting parts include fixed plates, air cylinders, fixed frames, fixed U-shaped frames, sliding bearing blocks, rectangular blocks, first electric rotating shafts, steering blocks, anti-slip abutting pads, connecting blocks, connecting torsion springs, fixed bottom plates, connecting frames, connecting rotating rods and first toothed plates. The bottom of the fixed plate is fixedly connected to the upper surface of the cutting table. For this automatic cutting device for fastener processing, through the use of the fixed plate and the air cylinder, when limiting the fastener, a relevant power source can be provided. Only one set of air cylinders can reduce energy consumption, thereby solving the problem of how to limit and abut the fastener, achieving the effect of adapting to special-shaped fasteners, and improving the efficiency of limiting the fastener, realizing automatic limiting and abutting.

The invention discloses an expressway service area photovoltaic dynamic consumption optimization method, device and equipment and a storage medium, and the method comprises the steps: carrying out the preprocessing of multi-source heterogeneous data of an expressway service area, obtaining the to-be-analyzed data, carrying out the correlation analysis of the to-be-analyzed data, obtaining the coupling information of influence factors, and carrying out the analysis of the influence factors; and performing load prediction and photovoltaic power generation prediction based on the load data, the photovoltaic power generation data and the influence factor coupling information, evaluating the service area photovoltaic consumption capability of each time period according to the load prediction information and the photovoltaic power generation prediction information, obtaining a service area photovoltaic consumption evaluation result corresponding to each time period, and constructing a photovoltaic consumption optimization model. And performing photovoltaic consumption optimization on the service area photovoltaic consumption evaluation result based on the photovoltaic consumption optimization model, thereby greatly improving the local consumption rate of photovoltaic power generation of the expressway service area, reducing energy waste, reducing the comprehensive energy consumption cost of the service area, and improving the energy utilization efficiency and the power supply reliability.

The invention provides an ammonia fuel cell power generation dual-fuel scramjet engine capable of achieving energy gradient utilization, belongs to the technical field of aircraft thermal protection and power generation, and solves the problems that a traditional airborne power generation system is difficult to use due to the high incoming flow Mach number in hypersonic flight, and coking is caused in a regeneration cooling channel of a fuel decomposition gas turbine. Ammonia and aviation kerosene generate high-temperature fuel gas in a combustion chamber of the scramjet engine to push the engine to generate thrust; high-temperature waste heat of the combustion chamber is recycled through the regeneration cooling channel, fuel is heated, a part of ammonia is decomposed, and decomposed gas drives a turbine generator to generate electric energy. According to the power generation system for gradient utilization of energy, factors such as actual use temperature and pressure are fully considered, the energy utilization efficiency is effectively improved, energy waste is reduced, and reasonable adaptation of energy is achieved, so that the power generation efficiency of the whole system is improved, and the electric energy requirement of a hypersonic aircraft is greatly met.