8 results about "Physical load" patented technology

The invention provides a vehicle fatigue load prediction method, device and equipment, and is applied to the technical field of automobile testing. The method comprises the following steps: acquiring bus data and physical load data of a vehicle running under various working conditions; and inputting the bus data and the physical load data into a pre-trained hybrid prediction model to obtain a quasi-static load of the vehicle at each moment in a preset time window and a dynamic high-frequency load sequence in the preset time window. And fusing the quasi-static load sequence and the dynamic high-frequency load sequence at each moment to obtain a predicted suspension load time sequence of the vehicle. A fatigue load spectrum of the vehicle is generated based on the predicted load time series to determine a fatigue life of the vehicle. The problems of high cost, long period and poor expansibility of a traditional vehicle fatigue load prediction method can be solved.

The application provides a door and window processing parameter optimization method and system, relates to the door and window processing field, and obtains door and window parameters and external environment information, establishes a door and window simulation model according to the door and window parameters, converts the external environment information into physical load parameters, then performs accelerated simulation operation on the door and window simulation model based on the physical load parameters, obtains door and window performance evaluation results, and finally generates door and window design optimization information according to the evaluation results, and simulates the long-term performance of the door and window within a preset time period by applying multiple frequency load cycles. Through the technical scheme, the application can effectively solve the problem that the existing technology lacks accurate prediction and evaluation capability for the small local deformation of the super-large size and slender profile door and window under the long-term complex environment and the cumulative influence of the small local deformation on the long-term reliability and optical quality of the door and window, and avoids the performance attenuation and quality problems that may occur in the actual application of the traditional method.

This invention relates to the field of chip performance monitoring technology, and discloses a method for monitoring and evaluating the performance of chips throughout their entire lifecycle based on big data. This method first extracts key physical characteristics of each bare die at the manufacturing stage, generates individual chip quality factors, and writes them into a one-time programmable memory area. Then, at the application stage, it collects the junction temperature of each layer in real time, calculates the vertical temperature gradient vector and local absolute temperature, and constructs a thermo-coupled instantaneous interface mechanical damage rate model based on the quality factors to quantify the instantaneous interface mechanical damage rate. Furthermore, it introduces a business weight coefficient to couple electrical wear with cumulative thermo-mechanical fatigue damage, calculating the chip's remaining health. Finally, based on the health warning threshold, it executes a vertical wear balancing strategy to migrate the data of damaged layers to a safe level. This invention solves the problem that traditional chip performance monitoring cannot detect the risk of microscopic thermal mismatch within the stacked structure, and avoids sudden physical failures of the chip through proactive physical load redistribution.

The invention discloses a load fluctuation power following control method and system, a medium and a product, and relates to the technical field of data processing. According to the method, a load digital twinborn model containing equivalent circuit parameters is established, current, voltage and temperature signals of a physical load system are collected, the current signals are input into the digital twinborn model to obtain simulation voltage signals, and deviation is calculated. And based on the deviation and the temperature signal, obtaining a drift sequence of an equivalent parameter measured value through parameter inversion. And performing curve fitting on the drift sequence, calculating a drift rate, and estimating equivalent circuit parameters at a target moment. The load power at the target moment is predicted in combination with historical power data, the updated digital twinborn model is input to obtain a power demand prediction value, and accordingly an energy storage output power instruction is generated to achieve power following control. By implementing the technical scheme provided by the invention, the power prediction precision can be improved, and accurate following control of load power fluctuation is realized.

The present application provides a fatigue degree estimation system and a fatigue degree estimation method capable of improving the estimation accuracy of the fatigue degree of a worker. The posture acquisition section of the fatigue degree estimation system of the present application acquires a walking posture assumed by a worker during work. The duration acquisition section acquires the duration of the walking posture. The external force information acquisition section acquires external force information received by the worker when assuming the walking posture. The load estimation section estimates the physical load of the worker caused by the walking posture, based on the walking posture and the external force information received by the worker when assuming the walking posture. The fatigue degree estimation section estimates the fatigue degree of the worker in a walking section, which is an interval during which the walking posture is continuously assumed, based on the duration of the walking posture and the physical load of the worker caused by the walking posture.

The invention relates to the technical field of underwater engineering construction, and discloses a hinge sinking row unit hoisting path intelligent optimization method, which comprises the steps of dividing a predicted hoisting total period into a plurality of discrete time slices, and constructing a three-dimensional prediction environment model based on multi-level water flow profile data; combining a hydrodynamic resistance model and a three-dimensional prediction environment model to calculate predicted tension of each grid node of the sinking mattress, and generating a flexible deformation energy state matrix; routing inspection is conducted on the flexible deformation energy state matrix to judge a local tension peak value, a rigid hanging bracket dip angle control variable is introduced for a slice with the peak value, an asymmetrical rate instruction is distributed, and a global optimal equipment workflow scheduling table is generated; and executing according to the scheduling table, extracting a predicted tension sum, performing deviation verification on an actual physical load equivalent mean value obtained by calculating feedback data of the variable frequency driver and the predicted tension sum, and when the deviation exceeds a limit, cutting off an instruction and triggering resampling to re-plan a remaining time slice.

The application discloses a kind of physical load test equipment for solar cell module, it is related to photovoltaic panel test equipment field, technical scheme is, including chassis, one end of chassis is set for placing solar panel clamping frame, the other end is fixed for simulating hail falling ice ball launcher;Clamping frame includes fixedly arranged base on the chassis, the middle part of base is rotatably arranged rotary plate, two vertical plates are arranged in parallel on rotary plate, clamping plate is rotatably arranged on vertical plate, clamping plate is in the form of "H", solar panel is placed on clamping plate, four corners of clamping plate are respectively fixedly arranged one for clamping solar photovoltaic panel holder.The beneficial effects of the application are: the angle adjusting range of solar panel is wide, the speed of real hail falling can be simulated, the authenticity of the device simulating hail falling in natural state is improved, and the accuracy of device simulation test is further improved.

The invention belongs to the field of machinery and electronics. The method can be realized by applying simple mechanical and electronic technologies. The invention relates to a chair which can be used by a user on the front and back sides, and a waist rest (front abdomen guard) is arranged on the front side. In general use, the chair leans against a backrest, like a common chair use method; during reverse sitting, the waist leans against the waist rest (front abdomen protection), the whole upper body prostrates on the chest and the arm supports, and the front neck is supported on the neck support. In order to facilitate use, the neck support can be adjusted by a rotating shaft. The height of the chair surface, the height of the back table and the distance between the chair surface and the back table can be adjusted. And the device can be conveniently moved on occasions needing to be moved. The chair is suitable for long-time sitting, especially for relieving physical load when people bend over a table for a long time, or for occasions such as short rest when no suitable rest place exists. Manpower and space resources can be saved, and a power device is arranged, so that the position can be quickly adjusted.