182 results about "Power efficient" patented technology

The application discloses a kind of based on running state determination continuous material processing equipment energy efficiency regulation and control method, it is related to industrial automation and process control technical field, this method includes: real-time acquisition equipment operating parameter, material state parameter and environmental parameter, form multisource operation data set, obtain the load state, health state and efficiency state of equipment, form the safety operation constraint boundary of current time, optimization is carried out by heuristic optimization algorithm, obtain optimal energy efficiency operating parameter set.Energy efficiency regulation and control instruction sequence is generated, control response deviation is calculated and corrected, and the parameter value range in threshold parameter and energy efficiency evaluation function is adjusted by periodic statistical analysis.The application realizes continuous material processing equipment energy consumption optimization by the closed-loop regulation and control method of multisource data fusion, state determination rule chain and comprehensive energy efficiency evaluation, improves the stability of system operation, control precision and working condition adaptability, enhances the reliability of long-term operation.

The application provides a variable impulse method for manta ray-like vehicle attitude control through bypass internal flow distribution, a propeller serving as a propelling system and a flow distributor with adjustable position arranged at an outlet end of a power duct module are fused and designed, axial water flow generated by the single propeller is directly used as propelling power and attitude control direct power, the flow of each jetting outlet can be adjusted without changing the propeller rotating speed through position adjustment of the flow distributor arranged at the outlet end of the power duct module, the impulse of water flow of upper and lower jetting outlets is quickly changed, upper and lower thrust difference is formed on the bionic body, the pitching moment is changed without changing the propelling process, the attitude adjustment of the bionic vehicle is accurately realized, and the system efficiency, dynamic response and task adaptability are coordinately improved on the basis of keeping the original propelling efficiency advantage.

The application discloses a method for reducing energy consumption by optimizing production of a natural power factor and secondary voltage of a ferrosilicon electric arc furnace, and belongs to the technical field of ferrosilicon smelting. The method solves the problems of low power factor, blind secondary voltage regulation, high power consumption and poor furnace stability in the traditional process. The method comprises three-stage operation methods. The first stage is a voltage lifting and furnace condition adapting stage, the second stage is a voltage stabilizing and parameter coordinating optimizing stage, and the third stage is a parameter solidifying and efficiency enhancing stage. The method takes the improvement of the operating resistance of the electric arc furnace as the core, controls the whole process in stages, constructs a benign smelting cycle of "high voltage-low current-high power factor", realizes the synchronous optimization of the natural power factor and the secondary voltage, and greatly improves the economy and production stability of the ferrosilicon smelting.

This invention discloses a cross-modal attribution method and system for ship energy efficiency anomalies based on a structural causal model, relating to the field of intelligent ship energy efficiency monitoring and anomaly causal attribution technology. The method includes: collecting multimodal ship energy efficiency monitoring data and mapping it to a multimodal operating condition heterogeneous graph; performing posterior completion of missing nodes based on structural equation constraints and historical samples of the same operating conditions; performing online Bayesian structural updates using speed, ballast draft, and sea state as trigger conditions to obtain an adaptive directed acyclic graph; applying causal intervention to the main engine load rate deviation and propeller propulsion efficiency deviation on the adaptive directed acyclic graph, calculating the causal contribution rate of each variable to the overall ship energy efficiency deviation, and generating cross-modal attribution results. This invention can improve the accuracy, interpretability, and targeted operation and maintenance handling of ship energy efficiency anomaly root cause localization.

The application provides a power control parameter determination method and device. The method comprises: a terminal acquiring relevant parameters of unicast and relevant parameters of multicast; and the terminal determining a power control parameter of a physical uplink control channel (PUCCH) according to the relevant parameters of unicast and the relevant parameters of multicast. According to the embodiment of the application, the terminal determines the power control parameter of the PUCCH channel used for transmitting the HARQ-ACK codebook of the broadcast multicast according to the relevant parameters of unicast and the relevant parameters of multicast, so that the terminal can better perform power control, thereby realizing power efficiency maximization, meeting the demand of PUCCH transmission power requirement, and saving power.

The application discloses an abnormal early warning method and device of a distributed photovoltaic power generation system and electronic equipment. The method comprises the following steps: obtaining current performance data, current environmental interference data and performance index data of a target distributed photovoltaic power generation system at a current time, and then determining a current initial performance score of the target distributed photovoltaic power generation system at the current time; based on the current initial performance score, detecting whether the performance of the target distributed photovoltaic power generation system has a target abnormal fluctuation at the current time; if the target abnormal fluctuation exists, determining an abnormal reason, and correcting the current initial performance score based on the abnormal reason to obtain a current target performance score of the target distributed photovoltaic power generation system at the current time; and based on the current target performance score, performing abnormal early warning on the target distributed photovoltaic power generation system. The application solves the technical problem of inaccurate abnormal early warning of the distributed photovoltaic power generation system in the related art.

The application provides a construction elevator regenerative electric energy self-adaptive feedback energy-saving system and method based on bus voltage time sequence feature working condition recognition, and belongs to the technical field of building construction energy saving. The system comprises a construction elevator without counterweight, a working condition intelligent recognition module, an energy feedback system, a construction site 380V power frequency power grid and a multiplex terminal. The construction elevator is the main body of energy recovery, the working condition intelligent recognition module collects the instantaneous value of the frequency converter direct current bus voltage of the construction elevator, the duration of the bus voltage being continuously higher than the reference threshold value, calculates the voltage change rate, identifies three working conditions of heavy load descent, no-load ascent and braking based on a weighted multi-parameter discrimination algorithm, and dynamically matches the start-stop voltage threshold value of the corresponding energy feedback system according to the working condition recognition result. The application solves the tedious problem of traditional manual measurement of threshold value, realizes dynamic threshold value matching maximum feedback efficiency, realizes efficient recovery of energy, does not modify the original system, has an extremely simple structure, has high intelligence, and is safe and reliable in operation.

An electrochromic structure with self-powered operation comprises: a photoelectric element having a first glass substrate, a solar power generation structure, and a second glass substrate; a reflective film structure having a glass substrate, an auxiliary layer, and a reflective layer, wherein the reflective film structure is bonded to the photoelectric element with a first resin; and an electrochromic element having a first transparent conductive glass layer, a first electrochromic layer, an electrolyte layer, a second electrochromic layer, and a second transparent conductive glass layer, wherein the electrochromic element is disposed on the reflective film structure and stacked with a second resin to form the electrochromic structure, and the electrochromic element is electrically connected to the photoelectric element. Therefore, the electrochromic structure can be self-powered, improves power generation efficiency, reduces the use of substrate glass, and lowers production costs.

The application is suitable for the technical field of chemical waste gas treatment, and provides a low-energy-consumption hydrogen peroxide production waste gas deep treatment process and device, wherein the low-energy-consumption hydrogen peroxide production waste gas deep treatment process comprises the following steps: S1, constructing a first evaluation model: constructing according to the ratio of the temperature difference between the inlet and outlet of the condenser and the energy consumption of the refrigerating machine, the pressure fluctuation variance of the pressure swing adsorption unit and the pressure fluctuation frequency of the pressure swing adsorption unit; outputting a device health comprehensive index through the first evaluation model; S2, constructing a second evaluation model: constructing according to the collected recovery hydrogen flow, the unit waste gas treatment quantity power consumption, the change rate of the oxygen content and the concentration ratio; outputting an energy efficiency economic comprehensive index through the second evaluation model. In the application, when the system efficiency comprehensive index is lower than a preset threshold value, the optimization condensing temperature is outputted by the regulation and control model, so as to avoid the refrigeration overload or insufficient treatment caused by the traditional fixed temperature setting value under the environmental temperature fluctuation.

This invention belongs to the field of power grid fault diagnosis technology and discloses a power grid fault diagnosis method and system based on differential evolutionary logic operations. The method includes: collecting the action information of protection devices and circuit breakers in the power system; filtering out a set of candidate elements that have experienced faults based on preset association rules between faulty elements and protection / circuit breaker actions; establishing a 0-1 integer programming model based on the determined protection action information, circuit breaker action information, and candidate element set; and solving the 0-1 integer programming model using an improved differential evolutionary algorithm based on logic operations to determine the fault state of the candidate elements. This invention directly encodes individuals using binary, eliminating the need for floating-point to binary conversion. It also constructs a binary mutation operator and an improved crossover operator based on logic operations and employs adaptive parameter adjustment to balance the population diversity and search efficiency of the algorithm.

The application discloses a kind of base layer emergency vehicle-mounted double power supply integration roof lighting device, belong to emergency equipment and new energy technology field.The device includes roof base module, double energy power supply system, energy storage control system, lifting lighting system and green plant ecosystem.The application is powered by solar photovoltaic unit and vehicle generator power supply unit double way, combined with intelligent double energy switching circuit and lithium iron phosphate battery group, realize long time stable power supply.Ingenious green plant ecosystem is integrated in photovoltaic panel gap and lighting mechanism periphery, and its heat insulation vegetation layer is cooled by physics, significantly improve the working efficiency and life of energy storage control system and photovoltaic unit in high temperature environment.Lifting lighting system has floodlight and flash double mode, and can be remotely controlled.The application solves the problems of short endurance, easy to run out of power, high temperature influence and single function in the prior art, has the advantages of energy saving, light weight, quick installation, ecological and beautiful, especially suitable for grass-roots emergency rescue, command, patrol and other service scenes.

The application discloses a heating furnace control method, device, equipment and storage medium for delayed coking, and the method comprises the following steps: generating a three-dimensional thermodynamic model of the heating furnace and performing gridding according to heating furnace modeling; obtaining simulation results of the three-dimensional thermodynamic model according to preset input parameters; judging whether the outlet cross-section position of the heating furnace includes a grid exceeding a preset target temperature range, if yes, updating the heat source power and returning to the simulation result calculation step; if no and the current judgment is the first judgment, updating the feeding rate and returning to the simulation result calculation step; if no and the current judgment is not the first judgment, going to the next step; judging whether the heating furnace includes a grid exceeding the preset upper limit of free state coke content, if yes, updating the heat source power and the feeding rate and returning to the simulation result calculation step; if no, generating a control instruction according to the current heat source power and the feeding rate. The application can fully exert the production efficiency of the heating furnace.

This invention discloses a method for optimizing the operation of a wind-solar hydrogen production system based on hierarchical verification deep reinforcement learning, belonging to the field of new energy hydrogen production system operation optimization technology. The method includes: collecting environmental and equipment information to construct a system state vector; establishing a multi-agent framework based on the soft actor-critic algorithm, defining the energy storage battery and electrolyzer as independent agents, and outputting control commands through continuous-discrete hybrid actions. Before execution, a Level I safety verification is performed, and the state is updated after passing; a fusion reward is calculated based on the new state using a global-local fusion reward mechanism. State samples are stored in an experience buffer for network parameter updates. During training, a Level II model performance verification is periodically performed, and qualified models are included in the candidate set; after training, a Level III deployment verification is performed, and the optimal model is selected for use in the actual system. This invention improves the operational efficiency, equipment lifespan, and system deployment reliability of wind-solar hydrogen production systems under fluctuating environments.

The application relates to a method for enhancing the performance of a split resistance rudder based on distributed synthetic double jet flow, which comprises the following steps: arranging distributed synthetic double jet flow exciters on the inner surface and the outer surface of the rudder surface of the split resistance rudder; converting a high-voltage direct-current signal into a high-voltage wide-frequency alternating-current signal by using a power supply control system; driving the distributed synthetic double jet flow exciters to work cooperatively by using the high-voltage wide-frequency alternating-current signal, so as to generate multiple variable and controllable synthetic double jet flows; and mutually supporting, coupling and enhancing the multiple synthetic double jet flows, reconstructing the front and rear pressure distribution of the split resistance rudder, and enhancing the control performance of the split resistance rudder. When the method is applied to an aircraft, the control performance of the split resistance rudder can be enhanced, the size of the split resistance rudder required can be reduced, the radar scattering area during cruising flight can be cut, and the stealth performance of the aircraft can be further improved.

This invention provides a photovoltaic-powered microbial fuel cell constructed wetland system, relating to the field of water pollution control. The system consists of a photovoltaic power supply module, a pulse modulation unit, a mode switching unit, a microbial fuel cell constructed wetland body, an auxiliary anode module, and an electrically isolated stimulation electrode pair. Through photovoltaic power supply and low duty cycle intermittent constant current pulse modulation, it can maintain stable operation for more than 72 hours under no-light conditions. Relying on the time-sharing pulse output of the mode switching unit, electrochemical oxidation of recalcitrant organic matter is achieved through the auxiliary anode. The electroisolated electrode pair stimulates the metabolism of electrogenic bacteria with a non-contact alternating electric field, solving the problems of unstable power supply and difficulty in balancing oxidation efficiency and bacterial activity in off-grid scenarios, thus improving wastewater treatment efficiency and long-term operational stability of the system.

This invention discloses a modular power metering box for high-altitude and cold regions, belonging to the field of power metering equipment technology. The proposed solution includes a box frame module, functional module components, a standardized interface system, an intelligent management unit, and an intelligent algorithm system. All modules are electrically connected across the entire chain, and the intelligent algorithm system enables intelligent closed-loop management of the metering box. The box frame module is a low-temperature resistant standardized universal frame, capable of withstanding temperatures ≥-40℃ without brittleness or deformation. This modular power metering box for high-altitude and cold regions solves the problem of extreme cold adaptation with its low-temperature resistant structure and intelligent temperature control, improves operation and maintenance efficiency with plug-and-play modules, and achieves safety management and rapid fault diagnosis with four major algorithms. It also possesses good scalability, achieving overall cold-resistant reliability, convenient installation, intelligent efficiency, and scenario compatibility. It comprehensively addresses the pain points of traditional equipment, significantly improving power metering safety and operation and maintenance efficiency in high-altitude and cold regions.

This invention discloses an overclocking simulation calculation method for heat dissipation modules, applied to the optimal prediction of overclocking / downclocking factors and times for heat pipe and other heat dissipation modules. New-generation AIPC chips, in order to achieve higher computing performance, have built-in powerful overclocking capabilities. However, when paired with existing heat pipe heat dissipation modules, an optimal combination of overclocking factor and time is needed to maximize the computing performance of the built-in overclocking function. Higher overclocking factors result in better performance, but the overclocking time must be shorter; the frequency must be reduced before reaching the chip's temperature limit to avoid exceeding the chip's temperature range. Therefore, by simulating the combination of parameters such as overclocking factor, overclocking time, downclocking factor, and downclocking time using equations, without exceeding the chip's temperature limits, development costs can be significantly reduced.

The present application relates to the technical field of base station power optimization scheduling, in particular to a base station scheduling method considering load power consumption and user satisfaction loss risk. The method comprises the following steps: S1, establishing a load power consumption cost index and a user satisfaction loss risk index under base station scheduling; S2, constructing a multi-objective optimization scheduling model based on the load power consumption cost index and the user satisfaction loss risk index; S3, inputting parameters into the optimization scheduling model; S5, selecting an optimal scheme from the multiple candidate scheduling schemes, and performing scheduling control on the base station based on the optimal scheme. The present application establishes the relationship between base station power scheduling and the load power consumption cost index and the user satisfaction loss risk index, realizes the dual goals of reducing power consumption cost and controlling satisfaction loss risk, carries out systematic scheduling from the overall operation efficiency of the base station, realizes the comprehensive benefits and sustainability of improving the operation of the base station, and has important significance and engineering practical value.

This invention relates to the field of power grid operation and maintenance technology, specifically to a knowledge graph construction method and system for the full lifecycle management of power grid equipment. The method involves acquiring historical monitoring data and test data before and after each operation and maintenance cycle, analyzing the temperature rise characteristics of the top-layer oil temperature when the load rate is stable in the historical data, and determining the temperature rise baseline curve. An environmental similarity constraint mechanism is introduced to select data from periods before and after operation and maintenance with similar environmental temperatures as test samples, and extracting features such as load rate to determine the feature data point set. Further matching of feature data points from periods before and after the selected samples eliminates macro-load differences, and combines this with the temperature rise baseline curve to eliminate minor load deviations, achieving net-value quantification of operation and maintenance efficiency. Simultaneously, the temperature rise characteristics of the top-layer oil temperature after operation and maintenance are compared with the temperature rise baseline curve to calculate the temperature rise deviation. Finally, a time-series evolution graph is constructed to analyze the changing trends of regression gain and temperature rise deviation, realizing the operation and maintenance monitoring of the power grid equipment to be evaluated.

The application relates to an independent hybrid frequency modulation energy storage power station capacity configuration method and device, computer equipment, a computer readable storage medium and a computer program product, relates to the field of electric power energy storage, and can improve the resource utilization rate of a hybrid energy storage system. The method comprises the following steps: acquiring total power control instructions of a hybrid energy storage system in a target frequency modulation scene and operation characteristic parameters of each energy storage unit; based on the operation characteristic parameters and the total power control instructions, determining first charge and discharge instructions and second charge and discharge instructions of different energy storage units according to a real-time power distribution strategy; based on the first charge and discharge instructions and a life attenuation model, determining a device replacement cycle of an energy type energy storage unit; based on system frequency modulation response and periodic resource consumption, determining a comprehensive performance model in a full life cycle; under the premise of meeting preset operation constraint conditions, taking the comprehensive performance value of the comprehensive performance model as a target, and determining capacity configuration parameters through a Bayesian optimization algorithm.

The invention is called "Cutting Blade", which is a device installed in the engine intake pipe. Through friction, cutting, and heat transfer, it combines the air entering the engine with atomized fuel to form a high-quality mixture, enabling more energy to be released during the explosion and power stroke, and the mixture to burn more completely, achieving the purpose of fuel savings and exhaust gas reduction. Its core principle is to cut, refine, and uniformly heat the air entering the engine. The dominant thinking in the product design and structure is to not only cut the air flowing through the intake pipe but also minimize the resistance of this device to hinder the air from entering the engine. Practice has proven that installing this device can effectively reduce the phenomenon of altitude sickness in vehicles. The technical field to which the invention belongs is: automotive power efficiency, automotive exhaust gas reduction, and technologies for dealing with automotive altitude sickness. The inventor solved the problem of abnormal noise generated by previous similar products during high-speed driving through ingenious design. The result was obtained through a total of six design modifications during the actual test of 90,000 kilometers in seven years.

The application discloses an agricultural machinery composite transmission system, wherein an output shaft of an electric motor one is connected with a transmission shaft one through a spline; the transmission shaft one is connected with a clutch d and a clutch e through a spline; a sun gear is sleeved in the middle of the transmission shaft one and located in front of the clutch d; a front end of the clutch d is connected with the spline on the sun gear; a rear end of the clutch e is connected with the front end of the output shaft through a spline; a clutch f and a clutch g are located in the middle of the output shaft; a front end of the clutch f is connected with the rear end of a transmission shell two through a spline; a rear end of the clutch g is connected with the rear end of a transmission shell one through a spline; an electric motor two EM2 is a hollow shaft motor, which is sleeved on the transmission shaft one; an output shaft of the electric motor two EM2 is a transmission shaft two; and the rear end of the transmission shaft two is connected with the front end of a clutch c through a spline. The multi-gear position of the application can meet various working condition use requirements, so that the vehicle transmission system has more diversified functions, high transmission efficiency, compact structure and low pollution emission.

This invention discloses an energy data equalization method and system for flywheel energy storage arrays, relating to the field of flywheel energy storage technology. The method involves acquiring operating parameters of each flywheel unit, including information indicating energy reserves, heat load, and accumulated operating stress. Based on these parameters, the method assesses the current operational capacity of each flywheel unit, obtaining an operational capacity assessment result. Based on the assessment result, a differentiated energy task is determined for each flywheel unit. This differentiated energy task is then sent to each flywheel unit, and each unit adjusts its energy conversion operation according to the task, cyclically executing the acquisition, assessment, determination, and adjustment operations. This effectively avoids premature unit aging and system performance degradation caused by uneven load distribution, thereby improving the overall system lifespan, reducing maintenance costs, and enhancing overall energy efficiency.

This invention discloses an electronic component manufacturing equipment, relating to the field of electronic component manufacturing technology. The equipment includes a frame with a liquid tank in the middle. A liquid outlet valve is located at the lower end of the liquid tank. A drive motor is fixed to one side of the frame, and a drive roller is fixed to the drive end of the motor. The drive roller is connected to a driven roller via a first conveyor belt. A drive wheel is fixed to the other end of the drive roller, and the drive wheel is connected to the driven wheel via a synchronous belt. A linkage roller is fixed to the middle of the driven wheel, and the linkage roller is connected to a rotating roller via a second conveyor belt. This electronic component manufacturing equipment achieves automated full-process operation of components, improving the overall efficiency of the manufacturing equipment. It also achieves automated drying, reducing equipment manufacturing and subsequent operation and maintenance costs. Furthermore, it provides dynamic cleaning, enhancing the practical value of the manufacturing equipment.

This invention belongs to the field of communication automation technology and discloses a system and method for intelligent fault diagnosis and collaborative optimization of resource and energy consumption in communication automation. The invention covers the entire process of communication automation from fault diagnosis and resource scheduling to energy consumption optimization by constructing three core modules: intelligent fault diagnosis and tracing, dynamic scheduling and allocation of communication resources, and collaborative optimization and control of communication energy consumption. It employs core technologies such as multi-feature fusion diagnosis of communication faults, reverse reasoning for fault tracing, dynamic resource scheduling and priority adaptation, and collaborative optimization and dynamic control of energy consumption. This overcomes the industry bottlenecks of traditional communication automation, such as "lagging fault diagnosis, extensive resource scheduling, and a disconnect between energy consumption and efficiency." It achieves accurate fault diagnosis and rapid tracing, dynamic adaptation and efficient utilization of communication resources, and collaborative optimization and precise control of communication energy consumption. This significantly improves the reliability, resource utilization, and energy consumption control level of communication networks, adapting to the needs of various scenarios such as industrial communication, backbone network communication, and campus communication. In particular, it solves the technical problems of low fault diagnosis accuracy, resource scheduling and service mismatch, and the conflict between energy consumption optimization and communication efficiency.

This invention discloses a method for wind and solar power prediction and distribution network scheduling based on dynamic feedback of decision-making efficiency, belonging to the field of distribution network scheduling technology. The method includes: first, constructing a high-precision prediction method for wind and solar power at distribution network nodes based on an improved Crossformer method; second, constructing a multi-objective optimization scheduling model considering safety and economy, and efficiently solving the model using an improved second-order cone relaxation method; further, constructing a proxy dynamic efficiency deviation index adapted to the time-varying feasible region to quantify the differentiated impact of prediction errors on scheduling objectives at different times in real time; finally, using the gradient backpropagation of this dynamic index to perform closed-loop training of the prediction model. This invention achieves deep integration of prediction and scheduling by feeding back the decision-making merits at the scheduling level to the prediction level, effectively improving the efficiency of wind and solar power absorption and the safety of power grid operation.

The application discloses a kind of gas-liquid mixed delivery system and method based on pressure boosting and yield increasing efficiency optimization, belong to oil and gas exploitation delivery technical field.System includes first, second pressure tank, gathering pipeline liquid inlet pipe, liquid outlet pipe, first, second circulating pump and series pipeline;Circulating pump is connected between two pressure tanks.Liquid inlet pipe is equipped with effective energy measurement unit, at least including liquid inlet pressure sensor.Intelligent optimization control system receives liquid inlet pressure data, calculates wellhead real-time pressure drop value, and compares with preset target pressure drop range;According to the comparison result, adjust, make pressure drop value keep in target range.The method is based on the above system, by circulating pump alternate work drive multiphase flow delivery, and real-time optimization control parameter in operation.The application will efficiency measurement front and control closed loop coupling, realize with yield increasing as target active optimization control, solve the problem that cannot be associated with wellhead production efficiency optimization in delivery process, significantly improve oil and gas well production and recovery.

The application discloses a new energy automobile multidimensional energy efficiency evaluation method, device, equipment and storage medium, the method collects the running data of the new energy automobile under different environmental conditions and different driving conditions; according to the running data, the mileage achievement rate index representing the vehicle endurance capability, the temperature regulation efficiency index reflecting the thermal management efficiency and the charging rate index measuring the energy utilization efficiency of the charging process are calculated respectively; the comprehensive energy saving efficiency index is generated by weighting and synthesizing according to the preset weight, and the energy efficiency evaluation report is generated according to the comprehensive energy saving efficiency index; the comprehensive energy efficiency performance of the new energy automobile in the real use environment can be comprehensively and objectively evaluated, the actual level of the endurance capability, the thermal management efficiency and the charging energy efficiency of the vehicle under different environmental temperatures and driving scenes can be accurately reflected, accurate energy efficiency optimization directions are provided for automobile manufacturers, and reliable energy efficiency reference bases are provided for consumers.