8 results about "Measurement design" patented technology

This invention discloses a soil volumetric water content (VWC) measurement system based on LoRa-RSSI and a drone. The system comprises several underground LoRa nodes for collecting environmental monitoring data; a host computer embedded in the soil; and an aerial node carried by a small drone. Combining IoUT technology, this invention designs an innovative system for soil VWC measurement based on LoRa received signal strength and a drone. The system utilizes the changes in LoRa-RSSI between the soil's internal transmitter and the drone's aerial receiver during the drone's angular rotation. Combined with a Long Short-Term Memory (LSTM) network, it collects differential LoRa-RSSI values ​​and uses a deep learning (DL) algorithm to calculate soil VWC, achieving relatively accurate soil VWC data. This invention eliminates the need for depth measurement of VWC data, utilizes soft sensors to measure soil VWC, and offers low cost, high efficiency, and small measurement error, providing a novel approach for soil VWC measurement design.

A user equipment (UE), baseband processor, and network device are described. The UE (e.g., or the baseband processor) can identify a first measurement state associated with a first set of values for a periodicity, repetition quantity, and quantity of samples for low power synchronization signal (LP-SS) measurements. The UE may receive, according to the measurement configuration, a LP-SS using a low power wake-up receiver (LP-WUR) to obtain a measurement value. The measurement value may be compared to a threshold condition associated with transitioning the first measurement state to a second measurement state. The second measurement state is associated with a second set of values for at least one of the periodicity, repetition quantity, or quantity of samples. The UE may then transition to the second measurement state based on the measurement value satisfying a threshold condition.

This invention discloses a device and method for measuring the thickness of insulating coatings on metal sheets using off-axis oblique projection at the same point. The invention includes a laser displacement sensor, an eddy current displacement sensor, and a signal processing unit arranged on the same side but off-axis. The eddy current sensor measures the vertical distance *a* from its vertical probe to the upper surface of the metal substrate, and the laser sensor measures the oblique distance *b* from its tilted probe to the measurement point on the upper surface of the insulating coating. The same-point measurement design eliminates interference from sheet deformation. The signal processing unit converts the oblique distance *b* into a vertical height using a field calibration coefficient *k*, and calculates the thickness of the insulating coating *c* = *a* - *(b·k)*. This invention enables high-precision and stable online detection of insulating coatings on metal coils.

The utility model relates to a kind of step difference ring direction measuring equipment and measuring system.It solves the technical problem that existing step difference measurement design is unreasonable.This step difference ring direction measuring equipment includes machine table;Mounting platform, product positioning frame is equipped in upper end;Horizontal drive component, including the transverse guide rail being set along the mounting platform width direction, transverse slider being slidably arranged on the transverse guide rail, and the transverse drive module of driving the transverse slider, longitudinal guide rail is equipped in along mounting platform length direction on the transverse slider, longitudinal slider is slidably arranged on the longitudinal guide rail, and the longitudinal drive module of driving the longitudinal slider;Measuring component, including installation block being set along mounting platform length direction on the longitudinal slider.This step difference ring direction measuring equipment improves the reliability of measurement data, prevent the end of step difference probe displacement process from appearing shaking problem, and configure damper to prevent the collision and collision shaking of step difference probe.

Embodiments herein provide systems, methods, and apparatuses for a Low-Power Synchronization Signal (LP-SS). A network may configure the LP-SS by selecting an LP-SS periodicity and a LP-SS length. The LP-SS length may scale as a function of the LP-SS periodicity. The network node may configure a user equipment (UE) to perform a radio resource management (RRM) measurement based on the LP-SS. Embodiments herein also provide designs for an overlaid sequence for LP-SS interference management.

This invention discloses a test case selection method for deep reinforcement learning software based on state level coverage. This method is the first to propose a coverage criterion measurement design for deep reinforcement learning software and to select test cases based on state coverage criteria. By defining a primary exploration space, discretizing the continuous state space, designing state coverage criteria based on state boundaries and k-multiple regions, and using these coverage criteria to guide test case selection, this method improves testing efficiency and more effectively exposes erroneous behaviors in deep reinforcement learning software. This method can serve as a metric for measuring the adequacy of deep reinforcement learning software testing and can also guide test case selection, thus contributing to improved reliability and security of deep reinforcement learning software.

The application relates to the technical field of tunnel construction, in particular to a tunnel construction measurement method. The construction measurement method comprises the following steps: S1, before tunnel construction, according to a measurement error propagation law, carrying out in-hole control measurement design; S2, near a tunnel portal, arranging plane control points and elevation control points, and carrying out portal control measurement; S3, arranging a cross traverse main control network in a tunnel hole, and based on the cross traverse main control network arranged in the tunnel hole, carrying out in-hole control measurement; S4, using a total station to measure the in-hole traverse, and carrying out tunnel construction lofting; and S5, after the tunnel is penetrated, measuring and adjusting the penetration error. The application solves the defects of low measurement accuracy, complex operation and low efficiency of the tunnel construction measurement method in the prior art, and realizes an efficient and accurate tunnel construction measurement method.

The present application relates to the technical field of environmental monitoring, and more particularly to a gas diffusion imaging processing method considering path confidence correction, comprising: calculating link input, establishing the relationship between observation and concentration by using a nonlinear diffusion imaging model, improving inversion stability by using path length estimation and confidence correction, and obtaining reliable concentration field through energy functional optimization; based on concentration sequence and image sequence, combining brightness consistency and conservation error to estimate wind speed field, and then using physical stepping and learning residual to obtain evolution operator prediction of future concentration with physical and data constraints; embedding the prediction module into system dynamics to describe the influence of device action on concentration, configuring risk measurement design and optimization control strategy, and controlling the key area to maintain safe concentration under various disturbances. The present application solves the problems of imaging error, unstable diffusion prediction and uncontrollable intervention in the prior art.