13 results about "Measurement design" patented technology

The invention discloses a five-axis linkage machine tool RTCP parameter measuring method and device, and provides a universal geometric mathematical model, a rotating shaft is deflected by the same angle in the forward direction and the reverse direction, the relative height of a workpiece tray surface is changed, an execution point falls on the workpiece tray surface, and the RTCP parameter is measured. The method comprises the following steps of: calculating the height change of an execution point relative to a reference plane in the process, and directly calculating the distance r of the tail end of a laser / cutter deviating from a rotating center in a five-axis machine tool by utilizing a formula, and the core advantage of the model is that parameters which are difficult to directly measure are solved through parameters which can be directly measured by utilizing mathematical model analysis; according to the method, the height error introduced by manual judgment is counteracted in a formula skillfully through a symmetric measurement design, so that the authenticity and reliability of a measurement result are greatly improved, micron-level-precision RTCP parameter calibration is realized, and the five-axis machining precision is remarkably improved; the same set of core mathematical model and process is suitable for two different types of five-axis machine tools, namely a cutter and a laser, and the universality is high.

An invention to perform a method of cell measurement in a wireless network, wherein the wireless network comprises a plurality of frequency layers, the invention configured to: determine a Measurement Gap Length, MGL, for each one of the plurality of frequency layers operational in the wireless network; determine a gap bitmap to indicate a measurement gap availability in a time sequence for each one of the plurality of frequency layers of the wireless network; and transmit gap assistance information for each one of the plurality of frequency layers of the wireless network to a User Equipment, wherein the gap assistance information comprises at least the determined Measurement Gap Length and the determined gap bitmap.

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 method and device for measuring RTCP parameters of a five-axis CNC machine tool. It proposes a universal geometrical mathematical model that, by rotating the axis forward and backward by the same angle, changes the relative height of the workpiece pallet surface so that the execution point falls on the workpiece pallet surface. The change in height of the execution point relative to a reference plane during this process is measured, and the distance *r* between the laser / tool ​​tip and the rotation center in the five-axis machine tool is directly calculated using a formula. The core advantage of this model lies in its use of mathematical model analysis to solve for parameters that are difficult to measure directly using directly measurable parameters. Its ingenious symmetrical measurement design cancels out height errors introduced by human judgment in the formula, thereby significantly improving the authenticity and reliability of the measurement results. This achieves micron-level precision in RTCP parameter calibration, significantly improving the accuracy of five-axis machining. The same core mathematical model and process are applicable to two different types of five-axis machine tools: those using cutting tools and those using lasers, demonstrating strong versatility.

This invention relates to the field of architectural observation deck construction technology, specifically to a method for constructing a complex, nonlinear, multi-curved high-altitude observation deck. The method includes the following steps: construction of a hyperbolic accessible roof with landscape stone paving and micro-planting; installation of fair-faced concrete GRC panels under the eaves of an irregularly shaped, ultra-long, cantilevered, complex curved surface; construction of an ultra-high, inclined, irregularly shaped glass curtain wall in the confined space under the eaves; and construction of a single-curved, stacked, wingspan-shaped dry-hanging stone staircase. This method utilizes BIM technology combined with total station and engraving machine technology for precise measurement, design refinement, and construction control of each part. By combining the BIM model with on-site 3D scanning results and GPS measurement instruments, it ensures that the construction elements accurately correspond to their theoretical models and achieve integration with the natural environment. This invention achieves a high degree of consistency with design goals and a landscape-integrated design, providing strong support for the harmonious coexistence of the high-altitude restaurant and the natural environment, and ensuring the high precision and high quality of the external panel curtain wall system.

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.

The utility model relates to the technical field of indoor decoration, and discloses a range finder for indoor measurement design, which comprises a rod sleeve and a laser range finder main body, the inside of the rod sleeve is slidably connected with a telescopic rod, one side of the telescopic rod is provided with a tooth-shaped groove, and the top of the rod sleeve is provided with a locking assembly for locking the telescopic rod. The top end of the telescopic rod is provided with a supporting assembly for supporting the laser range finder main body, and the middle part of the top end of the laser range finder main body is fixedly provided with a level bubble; the telescopic rod is slidably connected with the rod sleeve, the rod sleeve can guide the telescopic rod, the height of the laser range finder body can be conveniently adjusted by sliding the telescopic rod, the telescopic rod can be locked through the locking assembly, operation is easy and convenient, the firmness of the telescopic rod can be kept, the laser range finder body can be installed in a threaded mode through the supporting assembly, and the laser range finder is convenient to use. And the angle of the laser range finder main body can be adjusted.