45results about How to "Realize advance prediction" patented technology

The invention provides a driving method of display equipment and the display equipment. The driving method comprises the following steps: inputting a plurality of prediction frames and detecting the refresh frequency of the display device based on the plurality of prediction frames to obtain a change rule of the refresh frequency; when the display device displays the target display frame, obtaining the current refresh frequency of the display device and the corresponding frame number information; predicting an expected time point when the display equipment switches the refresh frequency next time and an expected frequency value after switching according to the change rule, the current refresh frequency and the corresponding frame number information; and performing gray scale compensation on the display device according to the expected frequency value and the expected time point. According to the invention, flicker of a picture during refreshing frequency switching can be avoided.

The invention discloses a cutter service life predicting method. A spindle current signal of a machining machine table is collected through a current sensor, and the real-time current signal and the historical current signal are obtained; the feature value of the current signal is extracted through feature learning; current signal data cleaning is conducted according to the feature value of the current signal, and real-time input data and historical input data re obtained separately; the relation between the current signal and the service life of a cutter is analyzed through a machine learningand deep learning method, and after training is conducted with the historical input data serve as a training sample, a cutter service life prediction model is built; and the real-time input data serve as a test sample to be input into the cutter service life prediction model for testing, and a cutter service life prediction assessment result is obtained. By collecting the spindle current data ofa machine tool and the operation and historical data of machine tools of the same types, the cutter state is monitored in real time and the residual life of the cutter is predicted through a big dataanalysis platform, potential safety hazards in the production process are greatly reduced, and the rate of finished produced products is improved.

The invention relates to the technical field of aquaculture oxygen aeration, and particularly discloses an oxygen aeration control device which comprises an electric control box. A power switch, an alternating-current contactor, a wiring terminal, a cell, a solar cell panel, an air temperature and humidity sensor and a controller are arranged on the electric control box, wherein the alternating-current contactor is used for controlling an oxygen aerator to be opened or closed, the wiring terminal is used for being connected with a power line, the solar cell panel is used for charging the cell, and the controller is arranged on the electric control box. The controller predicts a dissolved oxygen numerical value by processing a voltage value of the cell and air temperature and humidity values of the air temperature and humidity sensor and controls the alternating-current contactor according to the dissolved oxygen numerical value. According to the oxygen aeration control device, the dissolved oxygen numerical value can be predicted in advance, then, the oxygen aerator is controlled to be opened and closed according to the predicted result and the preset higher limiting value and the preset lower limiting value, the water dissolved oxygen value is not required to be directly detected, the hysteretic phenomenon of oxygen aeration can not occur, the oxygen aeration effect is good, the oxygen aeration efficiency is high, and the automation degree and the intelligentized degree are high.

The embodiment of the present invention discloses a system for predicting and controlling the forming quality of an additively manufactured part, including an additive manufacturing module, an image acquisition module, an image processing and feature extraction module, a prediction module and a process parameter adjustment module. The invention collects and processes images of molten pool, plume and spatter, and extracts various characteristic parameters of the three regions of molten pool, plume and spatter; uses LSTM network to predict the forming quality of the workpiece after n seconds; When the forming quality parameters of the predicted parts exceed the alarm value, adjust the process parameters in time and continue the subsequent processing; when the predicted forming quality parameters of the parts exceed the shutdown value, an alarm will be issued in time and the machine will be stopped, which improves the production of additive manufacturing parts. quality, reducing material loss. The embodiment of the present invention also discloses a method for predicting and controlling by using the above-mentioned system for predicting and controlling the forming quality of an additively manufactured part.

The invention discloses an electromobile battery protecting circuit which comprises a main circuit, a voltage detecting module, a battery loop current detecting module, a battery temperature detecting module, an electromobile inertia detecting module, an electromagnetic relay switch module and a singlechip control module, wherein the detecting modules are used for detecting the battery monomer voltage, the battery loop current and the battery temperature, transmitting signals to the singlechip control module, and analyzing the variation trend of the current, the voltage and the temperature. With the adoption of the circuit, the external voltage and current of an electromobile battery are detected and the the electromobile battery under abnormal states such as over-voltage, over-current, under-voltage and the like is cut off to be protected, the output features of the battery are predicated in advance, the charge abnormity of the battery is detected and protected, and furthermore, due to the inertia detection on an electromobile, a power supply circuit is cut off under the condition that the battery is in good condition when the electromobile has various faults, therefore, the the power supply circuit is prevented against battery combustion and explosion.

The invention discloses a calculation method suitable for the strip steel temperature in the fast cooling section of a continuous annealing unit, belongs to the technical field of continuous annealing, solves how to effectively avoid the measurement error caused by the temperature detected by a sensor, and realizes accurate prediction of the performance of the exit strip steel The problem, the steps include strip specific heat capacity c, strip mass m, strip temperature T when entering the fast cooling zone r , The comprehensive radiation coefficient C of the sample to the cooling wall L , the average temperature of the cooling gas T b , contact area S, furnace temperature T j , gas ejection velocity v, airflow spacing l, etc.; by accurately forecasting the strip outlet temperature in the fast cooling section of the continuous annealing unit, the quality of the finished strip can be predicted in advance. Forecasting can adjust and control the inlet temperature of the continuous annealing section and the furnace temperature in time to achieve the ideal strip steel outlet temperature, which ensures the high-speed production of the continuous annealing unit, improves the production efficiency, and increases the economic benefits of the enterprise.

The invention relates to a method for predicting the pressure degradation of sulfur hexafluoride. The method comprises: establishing an early warning model of sulfur hexafluoride pressure degradationaccording to a time element, an environmental temperature element, and a load factor; extracting historical sulfur hexafluoride pressure data and corresponding historical environmental temperature data and historical load data; determining model coefficients of the sulfur hexafluoride pressure degradation early warning model in real time according to the historical sulfur hexafluoride pressure data and the corresponding historical time data, historical environmental temperature data and historical load data; acquiring a predicted ambient temperature value and a predicted load value during a preset period of time; and acquiring a sulfur hexafluoride pressure prediction value within the preset period of time according to the time, predicted ambient temperature value and predicted load valuewithin the preset period of time. In addition, the invention also provides a system for predicting pressure degradation of sulfur hexafluoride, a storage medium and equipment.