14results about How to "Improve energy efficiency utilization" patented technology

The present invention relates to the field of die-casting optimization technology, and discloses a die-casting process parameter optimization method and system based on digital twin. The method includes: arranging sensors to collect die-casting equipment operation parameters and die-casting part quality data in real time to form multi-source die-casting production data. According to the multi-source die-casting production data, establish a multi-physics field simulation model and construct a digital twin model. Compare the virtual prediction results with the measured quality data, and construct a virtual-real difference compensation network to correct the parameters of the digital twin model. Based on the compensated digital twin model, perform a multi-objective reinforcement learning method to generate the optimal die-casting process parameters. Apply the optimal die-casting process parameters to the die-casting equipment for verification, and update the virtual-real difference compensation network according to the verification results. This application realizes the intelligent optimization and continuous self-evolution of die-casting process parameters, and improves the casting forming accuracy, energy efficiency utilization rate and production stability.

The present application relates to the technical field of electric tool management, and specifically relates to an intelligent management system for electric tools, comprising a device multi-dimensional state acquisition and characteristic vector construction module, which acquires operating parameters and constructs a characteristic vector through an MCU; a tool health assessment and risk identification module, which outputs a health score and an early warning level and identifies a modification behavior; a self-adaptive OTA upgrade and configuration strategy recommendation module, which triggers an update when an anomaly or modification occurs; an electronic fence and disconnection locking module, which tracks a position and triggers locking when crossing a boundary or being disconnected; and a smartphone terminal control response module, which displays a state and issues a control instruction. The present application constructs a closed-loop system of intelligent management and safety cooperation of electric tools through device multi-dimensional state sensing, health scoring and modification identification, self-adaptive upgrade and configuration recommendation, spatial behavior safety locking and user interaction feedback mechanisms.

The present application relates to the technical field of food sampling and detection, solves the problems of poor sample crushing effect and low energy utilization rate in the prior art when food is sampled on site, and provides a real-time sample crushing method and system for an intelligent portable fruit and vegetable crusher. The method comprises the following steps: obtaining crushing control parameters according to sample parameters of fruit and vegetable samples to be crushed; adjusting the crushing control parameters according to the current power of the mobile power supply; controlling the mobile crushing device to crush and process the fruit and vegetable samples according to the adjusted crushing control parameters; and adjusting the crushing control parameters according to the real-time state parameters of the mobile crushing device and the real-time power of the mobile power supply during the crushing process. The present application can effectively improve the crushing effect of on-site sampling and crushing, and avoid the problem of poor crushing effect caused by power reduction or load fluctuation.

The invention relates to the technical field of magnetic suspension phase change air conditioners, in particular to a load matching control method for an evaporative cooling magnetic suspension phase change air conditioner, which comprises the following steps: acquiring outdoor wet bulb temperature and system refrigeration load, and comparing with a preset threshold to start different working modes; whether refrigeration output is matched with the requirement or not is judged by comparing the actual temperature with a temperature threshold value in different working modes; if not, calculating the initial adjusting quantity of the key component according to the temperature difference; the current of the key component is sampled in real time, the mutation rate is calculated and compared with a threshold value, the initial adjusting quantity is corrected according to a comparison result, and therefore adjustment and control over all the components are completed. According to the method, multi-dimensional fusion and self-adaptive matching of the load demand, the environmental condition and the equipment state are realized, and the operation risk caused by too fast adjustment or equipment abnormity is effectively avoided while the energy efficiency of the system is improved.

This invention discloses a cooling assembly for a magnetic stimulator, including a power supply module and multiple magnetic stimulation modules connected by connecting cables. Each magnetic stimulation module includes a housing, a stimulation coil housed within the housing, and a rear cover on the back of the housing. The housing contains a heat dissipation assembly, including a cooling fan positioned on the same side as the stimulation coil. Between the housing and the rear cover are heat-conducting plates extending outwards on both sides. A U-shaped heat sink is mounted on the extended section of the heat-conducting plate, with a notch on one side to allow for adjustment of the mounting direction to expose either the front or rear air outlet. The U-shaped heat sink with a notch on one side allows for selective exposure of the front or rear air outlet by rotating the mounting direction. For example, during winter treatment, the air outlet can be directed towards the patient's body surface to utilize waste heat for auxiliary warmth; in summer, it can be directed towards the external environment to enhance heat dissipation efficiency.

The invention relates to a cooking processing method and device, electronic equipment and a storage medium, and the method comprises the steps: determining the power corresponding to a plurality of preheating modules in a target cooking machine based on preset preheating power information in response to a cooking starting instruction for the target cooking machine; based on the power corresponding to the preheating modules, the preheating modules are controlled to conduct synchronous preheating; under the condition that preheating is completed, a plurality of cooking processing modules in the target cooking machine are controlled to conduct cooking processing; determining a current cooking stage based on the current cooking duration and a preset cooking duration corresponding to the cooking starting instruction; based on the current cooking stage and the preset cooking power information, adjusting the power corresponding to each cooking processing module; the cooking preset power information is used for indicating the power of the plurality of cooking processing modules in at least one preset cooking stage. According to the embodiment, the food material cooking effect and the energy efficiency utilization rate can be improved, and the user experience is greatly improved.

The invention discloses a conductive method and structure for a gold and copper imitating furnace body of a hardware decoration coating machine, and belongs to the technical field of coating equipment. The method comprises the steps of obtaining furnace body parameters, calculating an insulation guide rail installation angle, constructing an electric field-temperature field-film thickness coupling model, calculating theoretical current and preheating current, evaluating electric field uniformity, monitoring branch health degree and conducting self-adaptive compensation. And the positions of the insulation blocks are controlled in stages to realize dynamic conductive control of centralized preheating, uniform coating and material taking open circuit. According to the invention, the current distribution uniformity, the film thickness consistency and the energy efficiency utilization rate can be effectively improved, and the equipment energy consumption and the operation complexity are reduced.

The invention provides an air compression station intelligent regulation and control method and system based on an industrial cloud platform and an artificial intelligence technology, and the method comprises the steps: collecting compressed air flow data of a user side, and predicting a gas consumption behavior type and a gas flow prediction interval of a future dominant gas consumption behavior through a constructed behavior recognition model and an interval regression model; according to the gas consumption behavior type, screening out a corresponding candidate strategy performance combination set from a preset strategy library; based on the gas consumption behavior type, performing dynamic weighted evaluation on candidate strategy performance combinations of the candidate strategy performance combination set to obtain a corrected comprehensive score for strategy sorting so as to select an optimal strategy combination of the current working condition and a corresponding optimal performance result tetrad; and the optimal strategy combination of the current working condition and the corresponding optimal performance result tetrad are converted into a specific control instruction, timing sequence buffer parameters are added to the specific control instruction, then the specific control instruction is issued to a field controller, and the air compression station is regulated and controlled. The energy efficiency utilization rate and the system stability are remarkably improved.

The invention relates to the technical field of electrical equipment, in particular to a dehumidification method and device of an energy storage cabinet system, electronic equipment and the energy storage cabinet system.The dehumidification method comprises the steps that the environment humidity value detected by each humidity sensor is obtained; calculating temperature gradients between the adjacent humidity sensors according to the obtained multiple environment humidity values to obtain multiple temperature gradients, and selecting a maximum value from the multiple temperature gradients to obtain a maximum gradient value; and when the maximum gradient value is larger than a preset gradient threshold value, the draught fan is started. The humidity gradient reflects the severity of humidity change in unit distance, and by adopting the method, the core area in which the temperature and humidity change is the most severe in the cabinet and the moisture condensation is the most likely to occur can be accurately identified. And once the maximum gradient value exceeds a threshold value, the fan is immediately started for forced ventilation, so that condensation is prevented.

The invention provides a hydraulic electronic load sensitive and pump control system of a cabin cleaning robot and a working method, and belongs to the technical field of engineering robots and hydraulic transmission. Comprising a power unit, a hydraulic pump set, a valve set assembly, an executing mechanism, an electric control system and a measurement and control system. The power unit is in transmission connection with the hydraulic pump set and used for driving the hydraulic pump set to operate, the hydraulic pump set and the valve set assemblies form a closed oil way through hydraulic management, the valve set assemblies are communicated with the execution mechanisms in a one-to-one correspondence mode and control the execution mechanisms to act, and the electric control system is electrically connected with the hydraulic pump set, the valve set assemblies and the measurement and control system. The controller is used for receiving detection signals and outputting control instructions. A dynamic adjustable pressure difference setting scheme is adopted, switching adjustment can be carried out within the range of 5-30 bar according to working conditions, and compared with a fixed pressure difference design of a traditional load sensitive system, the fixed pressure difference loss is greatly reduced; optimization and upgrading of system energy efficiency are achieved through the dual design, the energy efficiency utilization rate is remarkably improved, and the energy-saving effect is outstanding.

This disclosure provides an air conditioning system for engineering machinery. The air conditioning system includes a cooling circuit and a bypass branch. The cooling circuit includes a compressor, a condenser, a throttling and pressure-reducing device, and an evaporator, which are sequentially connected and form a loop. The bypass branch includes a first bypass control valve and a second bypass control valve. One end of the first bypass control valve is connected between the exhaust port of the compressor and the condenser, and the other end of the first bypass control valve is connected to one end of the second bypass control valve. The other end of the second bypass control valve is connected to the inlet of the evaporator. The first bypass control valve is a normally closed solenoid valve, and the second bypass control valve is a hot gas bypass valve. The air conditioning system provided by this disclosure can reduce the start-stop frequency of the compressor and reduce the wear of internal compressor components.

This application relates to the field of power control, and more particularly to a power control method, device, and power conversion system. The method is applied to a power conversion system including multiple parallel conversion modules. The method includes: obtaining the actual total power value of the power conversion system; when the actual total power value is greater than a predetermined total power reference value, reducing and outputting a branch electrical signal reference value through a first control loop; obtaining the actual branch electrical signal values ​​of each conversion module in the power conversion system; determining target conversion modules based on the fact that the actual branch electrical signal values ​​are greater than the branch electrical signal reference values; and adjusting each target conversion module, with the larger the actual branch electrical signal value, the earlier its actual branch electrical signal value is reduced, until the actual total power value is less than or equal to the total power reference value. This method achieves precise control of the total system power and allows most conversion modules to continue operating within their respective high-efficiency ranges, effectively improving the overall system energy efficiency and capacity utilization.

The application discloses a kind of based on multi-group battery coordination equalization method and system of DC bus, method includes: real-time monitoring the terminal voltage of each battery group in multiple battery groups and DC bus voltage, and the dynamic deviation of each battery group voltage and bus voltage is calculated;Based on dynamic deviation generation cross-group energy scheduling demand, and according to real-time bus voltage fluctuation amplitude determines the priority sequence of each group energy transfer;According to priority sequence and bus voltage real-time value, using voltage following strategy, the direction and amplitude of equalization current are dynamically adjusted by bidirectional DC-DC converter, and adaptive equalization control signal is generated;Adaptive equalization control signal is executed, cross-group energy is transferred by DC bus to realize high-frequency pulse, and the coordination voltage equalization of multiple battery groups is completed.Utilize the embodiment of the application, can realize efficient, adaptive energy scheduling based on DC bus voltage state between multiple groups of batteries, improve system overall equalization speed and energy efficiency.

The invention relates to the field of logistics distribution environment perception, in particular to an intelligent logistics distribution method based on a multi-modal logistics knowledge graph. The method comprises the following steps: firstly, acquiring a road image through a visual sensor, and constructing a visual variation observation range; furthermore, a visual characteristic spectrum is selected to extract corresponding visual characteristics in a visual variation observation range, the extracted visual characteristics construct a time domain change curve of the visual characteristics, and a sensitive time domain and a non-sensitive time domain in the driving environment are dynamically captured according to the real-time change condition of the curve. And in a sensitive time domain, image abnormity is determined by comparing the change trend consistency of new energy logistics vehicle vision and radar geometric features. And in a non-sensitive time domain, whether a visual detection target has a corresponding point cloud cluster or not is determined in an interval mode. Therefore, the perception reliability of the new energy logistics vehicle in a complex high-risk period is enhanced, and the system perception reliability, the overall energy efficiency and the resource utilization rate are improved.