9results about How to "Reduce power waste" patented technology

The invention discloses a roadway tunneling and conveying all-in-one machine with impact cutting teeth for assisting rock breaking. The roadway tunneling and conveying all-in-one machine comprises a walking mechanism, a main machine body, a material conveying mechanism, a material receiving mechanism, a multi-dimensional adjusting mechanism, a rotary driving mechanism and a cutting head mechanism. Cutting tooth units distributed along a spiral track are arranged on the surface of the cutting head mechanism, energy storage rebound mechanisms are arranged in the cutting tooth units, impact inertia kinetic energy is stored and released through multi-layer irregular arrangement of balls, secondary rock breaking is achieved, and the cutting efficiency and the hard rock adaptability are improved. The multi-dimensional adjusting mechanism expands the operation range through cooperation of a rotating base, a hydraulic cylinder and a hydraulic telescopic rod. The material receiving mechanism comprises an angle-adjustable material containing plate and symmetrically-arranged material sweeping wheels, the material sweeping wheels buffer a material pushing plate through springs to avoid collision damage, and an auxiliary feeding mechanism is arranged to enhance the material conveying continuity. Impact kinetic energy is recycled, the cutting range is flexible and adjustable, efficient collection and conveying of materials are integrated, and the device is suitable for high-hardness rock stratum roadway tunneling.

The application discloses a satellite communication power dynamic adjustment method and system, which comprises the following steps: acquiring and analyzing signal monitoring data of satellite communication to determine key signal parameters affecting signal quality; analyzing data of the key signal parameters to determine data characteristics, and evaluating signal quality of the key signal parameters to obtain a signal quality evaluation value; calculating a communication quality evaluation value of the satellite based on the signal quality evaluation values of the key signal parameters; determining a communication quality requirement value of the satellite, and determining a communication quality difference value between the communication quality requirement value and the communication quality evaluation value; determining an adjustment coefficient of real-time communication power of the satellite based on the communication quality difference value, and dynamically adjusting the real-time communication power of the satellite. The application accurately quantifies satellite communication quality by analyzing satellite communication data, and dynamically adjusts satellite communication power by determining an adjustment coefficient through difference analysis, so that fine and progressive power control is realized.

The application discloses a kind of double-fan sintering machine group single-fan operation thick material layer sintering device and method, belong to metallurgical sintering technical field.The technical scheme of the present application mainly includes: first isolation stops fan and adjusts valve baffle to complete flue gas flow balance, optimizes raw material ratio and moisture to reduce material layer resistance, adopts double-layer loose material to improve ventilation condition, time-sharing period dynamic adjustment fan air pressure adapts sintering process, combined with whole system air leakage control and sintering endpoint linkage regulation and control, without modifying main equipment can realize 800-920mm thick material layer stable sintering.The present application solves the problem of insufficient air volume, uneven airflow distribution, uneven thick material layer sintering, large operating condition fluctuation and high energy consumption when the double-fan sintering machine group operates with single fan, can improve the quality of sintered ore, reduce production energy consumption, and ensure continuous operation of production line during equipment maintenance and fault period.

The application provides a data center power load prediction method based on large model intelligent agent social simulation, and relates to the technical field of data center load prediction. The application generates interaction information of different user intelligent agents based on large language model modeling user intelligent agents; simulates the propagation of interaction information in the user interaction graph and the transfer process of the dynamic state of the user intelligent agent based on the SIR model, and generates a user state evolution sequence; maps the user state evolution sequence to a disturbance load sequence, and predicts the future short-term power load based on a difference prediction model. The application enhances the cognitive ability of the user intelligent agent by using the large model, combines the propagation state evolution with the data center load modeling, accurately simulates the additional influence of the behavior of the user intelligent agent on the load, thereby improves the load prediction accuracy, can provide a reference for the advance scheduling and demand response of the power system, helps to reduce the peak energy consumption and improve the system scheduling efficiency, and indirectly reduces the power waste and energy consumption.

This application relates to the field of power supply technologies, and discloses an energy storage system, a method for controlling an energy storage system, and a photovoltaic power generation system. The energy storage system includes a battery cluster, a power conversion circuit, and a controller. An output end of the battery cluster is connected to a first terminal of the power conversion circuit, and a second terminal of the power conversion circuit is connected to an output end of the energy storage system. The power conversion circuit converts a direct current provided by the battery cluster into an alternating current and then transmits the alternating current to an alternating current power grid, or converts an alternating current obtained from the second terminal of the power conversion circuit into a direct current for charging the battery cluster. Each battery cluster includes at least two energy storage modules connected in series, each energy storage module includes one bypass circuit and one battery pack, and each battery pack includes a plurality of batteries. The controller controls each bypass circuit based on a first parameter value of each battery pack, so that electricity quantities of battery packs are balanced. Based on the energy storage system, the electricity quantities of the battery packs can be balanced, thereby reducing impact on a current of the battery cluster, and reducing a waste of the electricity quantities.

The application discloses a stepless adjustment variable rotor engine oil pump device and relates to the technical field of engine oil pumps.The device comprises an engine oil pump cover and an engine oil pump body, the engine oil pump body is provided with an adjusting groove, the adjusting groove is located on the inner side of a feedback oil cavity, the engine oil pump body is provided with a high-pressure oil cavity and a low-pressure oil cavity, and the high-pressure oil cavity and the low-pressure oil cavity are located on the outer side of an outer rotor; a rotor assembly comprises an outer rotor and an inner rotor, and the outer rotor is located in the inner cavity of the engine oil pump body; a pressure regulating assembly is provided with a pressure regulating plate, the pressure regulating plate is provided with an adjusting piece, and the adjusting piece is located on the inner side of the adjusting groove and is in sliding fit.The application adjusts the performance of the engine oil pump, improves the sliding environment of the moving parts of the engine, supplies oil as required, improves the problem of energy saving and emission reduction, saves the power waste of the engine under high speed through the pressure regulating plate structure, and achieves the effect of oil saving.

Embodiments of the present disclosure relate to machine learning of a relationship between ambient air temperature and power consumption. Example apparatus and techniques are described. An example apparatus includes one or more processors and one or more memories storing instructions. When executed, the instructions cause the one or more processors to determine a respective configuration ambient temperature for each of the plurality of network devices. The instructions cause the one or more processors to determine a respective current traffic load on each of the plurality of network devices. The instructions cause the one or more processors to determine, for each of the plurality of network devices and based on a respective configuration ambient temperature and a respective current traffic load, a respective estimated power usage value. The instructions cause the one or more processors to sum the respective estimated power usage values to generate a total estimated power usage value and output a representation of the total estimated power usage value.

The invention discloses a charging pile cluster power intelligent distribution method and device, electronic equipment and a medium, and belongs to the technical field of charging. The method comprises the steps that the current battery electric quantity and the maximum battery capacity of a vehicle connected to a charging pile are acquired; calculating the priority weight of the vehicle according to the current electric quantity of the battery and the maximum capacity of the battery; determining the charging power allocated to the vehicle according to the priority weight and the maximum supply power of the charging pile cluster; the higher the priority weight is, the larger the charging power distributed to the vehicle is. By acquiring the current electric quantity and the maximum capacity of the vehicle battery, the charging demand of the vehicle can be accurately known, the priority weight of the vehicle is calculated according to the data, the emergency degrees of different vehicles to charging can be distinguished, the charging power is distributed according to the actual demand of the vehicle, and the charging efficiency is improved. Therefore, the vehicles with high priority weights can obtain more charging power, so that reasonable distribution of the charging power is realized, and the energy utilization rate and the charging efficiency of the whole charging pile cluster are improved.