8 results about "Pressure data" patented technology

The invention relates to a three-dimensional dynamic standing type training balance evaluation device which comprises a platform, a dynamic training mechanism, a static training mechanism and a stress detection mechanism are arranged on the platform, and a control module is arranged between the dynamic training mechanism and the static training mechanism. The control module is used for switching the dynamic training mechanism and the static training mechanism to work respectively; the control module is in communication connection with the stress detection mechanism, the control module receives pressure data detected by the stress detection mechanism and evaluates the balance state of the human body according to the pressure data, the platform comprises a base, a supporting plate and a connecting plate, and the supporting plate and the connecting plate are arranged on the upper portion of the base; a dynamic training mechanism is arranged between the supporting plate and the connecting plate; a static training mechanism and a stress detection mechanism are arranged between the base and the supporting plate, and a supporting mechanism is arranged on the lower portion of the connecting plate. The dynamic training mechanism and the static training mechanism are adjusted and switched through the control module to achieve dynamic and static balance evaluation detection and training, air control is adopted at the same time, damping is soft, the detection precision is high, and the comfort degree is high.

The invention provides a calibration method of a flow sensor of an anaesthesia machine. The method comprises the following steps: step 1) utilizing flow and pressure data of the flow sensor when the anaesthesia machine is rolled out and simulating an initial pressure-flow curve; 2) obtaining zero-point voltage value V0 of a current flow sensor; wherein the zero-point voltage value represents the voltage value at which the flow speed of the flow sensor is 0; step 3) calculating the difference Delta V0 between V0 and the zero-point voltage value when the flow sensor is rolled out; step 4) horizontally moving Delta V0 the initial pressure-flow curve on a horizontal axis and obtaining the corrected pressure-flow curve and finishing calibration. The calibration method of the flow sensor of the anaesthesia machine is advantaged by being easy and practical and high accuracy in calibration.

The invention discloses a fractured-vuggy oil reservoir parameter quick diagnosis method, a processor, and a machine-readable storage medium. The method comprises the following steps: acquiring a first early approximate solution and a first analytical solution of an infinite flow conduction fracture model of a fractured-vuggy oil reservoir; constructing a first flow conductivity influence function according to the first early approximate solution; according to the first analytical solution and the first flow conductivity influence function, constructing a finite flow conduction fracture analytical solution model to obtain theoretical pressure data of the well bottom of a fractured well of the fractured-vuggy oil reservoir; obtaining actual pressure data of the well bottom of the fractured well of the fractured-vuggy oil reservoir; according to the actual pressure data and the theoretical pressure data, determining a solving value of a fractured-vuggy oil reservoir parameter. The method is simple and easy to understand, and easy to operate, so that the calculation time is greatly shortened, and the analysis efficiency of fractured-vuggy oil reservoir parameters is improved.

The invention relates to a method and system for sensing grabbed object information through an artificial hand. The method comprises the steps that multi-dimensional grabbing pressure data generated when the artificial hand grabs an object and multi-dimensional shaking pressure data generated when the artificial hand shakes the object are obtained through a touch sensor; inputting the multi-dimensional grabbed pressure data into a DNN neural network to obtain one-dimensional quality feature data as quality information; s2, adding the one-dimensional quality feature data obtained in S2 to multi-dimensional shaking pressure data, and inputting the multi-dimensional shaking pressure data to an LSTM network to obtain friction information; and inputting the quality information and the friction information into a data label trained in advance to obtain the type of the grabbed object. Compared with the prior art, various information of the object is acquired by using a single touch source, and the method has the advantages of high sensing accuracy, low cost, high efficiency and the like.

An intelligent pipe drawing device comprises a pipe drawing machine.A data collection device is arranged on the pipe drawing machine.The data collection device comprises an MCU, a guyed displacement sensor, a pressure sensor and a concrete surface elevation detector.The intelligent pipe drawing device is characterized in that the guyed displacement sensor, the pressure sensor and the concrete surface elevation detector are connected with the MCU, and the MCU is further connected with a power module and a display module.The intelligent pipe drawing data collection device can collect the stroke and drawing pressure data of the pipe drawing machine in the real-time collection construction process and displays and transmits information.

The invention discloses a mine tunnel soil pressure acquisition system. The system comprises a plurality of pressure sensors, a multi-channel amplifier, a multi-channel A/D converter, a processor, a FLASH storage module, a wireless communication interface module and a wireless charging module; the plurality of pressure sensors are used for outputting a plurality of acquired pressure data signals to the multi-channel amplifier; the multi-channel amplifier is used for amplifying the plurality of pressure data signals and outputting the amplified pressure data signals to the multi-channel A/D converter; and the multi-channel A/D converter is used for converting the amplified pressure data signals into digital signals and outputting the digital signals to the processor; the processor is used for processing the digital signals, and outputting the processed pressure data to the FLASH storage module and the wireless communication interface module; the FLASH storage module is used for storingthe processed pressure data; the wireless communication interface module is used for outputting the processed pressure data to the outside; and the wireless charging module is used for charging the processor. With the system adopted, the work efficiency of pressure detection can be improved.