4 results about "Thermal pulse" patented technology

The invention discloses a wall crack detection system and method based on an image recognition technology, relates to the technical field of computer vision and image processing, and generates geometric confidence and constructs a space-time response field by applying micro-vibration excitation and thermal pulse excitation and collecting a visible light dynamic sequence and an infrared thermal response sequence. And the mutual verification gating assembly performs crack candidate region screening based on the opening and closing response and the fusion confidence coefficient of the thermal fracture channel, and forms a crack topology signature evolution sequence through topology signature generation and evolution evaluation. And the closed-loop scheduling component generates uncertainty indexes according to crack evolution characteristics, and dynamically adjusts a detection action parameter set. And updating a fusion confidence coefficient threshold value and a primitive confidence coefficient parameter threshold value through a historical topology difference set and an uncertainty index, and ensuring adaptive updating in a detection process. The system can efficiently and accurately detect wall cracks and provide traceable evolution analysis, and has high robustness and engineering application value.

The application relates to the technical field of building engineering detection, in particular to a concrete strength detection method and system. The method comprises the following steps: placing a thermal reference block with known thermal physical properties in the center of a target area on the surface of concrete to be detected; applying synchronous thermal pulses with the same energy to the concrete surfaces on the two sides of the thermal reference block in a symmetrical position, recording the formed thermal response by using an infrared thermal imager, and generating thermal response data, wherein two thermal spots are formed on the surface of the concrete; monitoring the environmental temperature fluctuation by using the thermal reference block, subtracting the amount of the environmental temperature fluctuation from the thermal response data in real time, and obtaining the thermal decay curve of the thermal spot; analyzing the isotherm profile distortion degree of the thermal field corresponding to the thermal decay curve, and quantifying the thermal field structure polarization index. The application solves the problems of environmental interference and internal structure quantification in the existing concrete strength detection by using the building engineering detection technology.

The application discloses a flywheel post-processing thermal deformation residual stress release and return control system and method, relates to the advanced manufacturing and industrial artificial intelligence control technical field, and the steps of the method comprise the following steps: obtaining flywheel initial compressive stress and asynchronous space-time sensing data in sequence, and extracting a thermal hysteresis dislocation index, a warping misjudgment separation degree and a targeted compressive stress retention rate in parallel; the above-mentioned multi-source features are injected into a waveform optimization model to calculate a coupling degradation flow form degree, and a variable-frequency pulse heating waveform is output by combining a anti-whip bias matrix inversion; finally, the reciprocal of the flow form degree is monotonically integrated and mapped to generate a return position confidence index, so as to trigger the system to stop accurately. The application effectively avoids the structural resonance caused by high-frequency thermal pulses, avoids the indiscriminate dissipation of the preset compressive stress resisting centrifugal force, and realizes the safe release of residual stress and the size return.

The application discloses a water quality identification system and method based on multi-component ion mobility deviation characteristics. The system adopts a three-layer architecture of a hardware perception layer, an algorithm analysis layer and a performance application layer. The hardware perception layer collects TDS, pH, EC and temperature signals in real time through a multi-parameter integrated sensor array. The algorithm analysis layer includes a binary matrix model module, a nonlinear jump detection module and a dynamic thermal transient response module. The ion component type is identified by calculating the conductivity response deviation factor D of different ion components. The critical jump point of the performance mutation of the reverse osmosis membrane is captured as the filter core life warning criterion through the concentration gradient incremental test. The water samples with similar static conductivity but different ion compositions are distinguished through the thermal pulse excitation test. The performance application layer converts the analysis results into a multi-dimensional characteristic fingerprint radar chart and a performance evaluation report. The system is also provided with an adaptive correction module, which can automatically correct the judgment criteria when deployed across regions.