4615results about How to "Precise positioning" patented technology

The invention discloses a degradation scene-oriented multi-residual fusion laser radar positioning method, which comprises the following steps of: firstly, performing state prediction by adopting an iterative extended Kalman filtering framework and an IMU (Inertial Measurement Unit), and constructing three complementary observation models of a global map matching residual, a local point-to-plane geometry residual and a luminosity residual; secondly, designing a degradation sensing mechanism based on a covariance ellipsoid, representing absolute and relative degradation degrees through a condition number and an information entropy respectively, realizing quantitative evaluation of system observability, and dynamically adjusting fusion weights of observation residuals; meanwhile, a self-adaptive weight strategy based on luminosity Jacobi intensity is introduced; and finally, performing anomaly detection through deviation comparison between the IMU predicted pose and the IEKF estimated pose, inhibiting pose jump, and ensuring continuity of a positioning time sequence. The method effectively overcomes the challenges of geometric constraint deficiency, positioning drift accumulation and the like of the LiDAR positioning system in the geometric degradation environment, does not need to adjust parameters for a specific scene, and improves the precision, robustness and real-time performance of global positioning in the degradation environment.

A positioning device used for accurately manufacturing a complex automobile accessory. The positioning device comprises a platform, a base is arranged on the platform, a fixing plate used for limiting Y-axis direction of one end of the accessory is arranged on the base, a retaining plate used for limiting Z-axis direction of one end of the accessory is arranged on the fixing plate, a lateral retaining plate used for limiting X-axis direction of the accessory is arranged on the base, and a limiting part used for limiting Z-axis direction of one end of one side, opposite to the retaining plate, on the accessory is arranged on the base. Through a separated positioning mode, positioning structure is simplified, operation steps are reduced, more convenience in replacement of the automobile accessory is realized, and the positioning device is suitable for large-scale welding operation. In addition, the whole positioning device is simple in structure, firm in positioning and high in accuracy.

The invention discloses an intelligent Web testing method and system based on Playwright and AI, and belongs to the technical field of Web testing. According to the method, a test script is executed through a Playwright framework, page elements and operations are packaged, and multi-dimensional information such as a DOM tree, network interaction and screenshot is collected; analyzing the test intention by means of the optimized language model, and generating a structured description; analyzing failure reasons through a multi-modal model in combination with failure moment data and intention description; and searching candidate elements based on an analysis result, generating a repair script, deploying a test node cluster dynamic allocation task and generating a report. According to the scheme, AI and automatic testing technologies are fused, intelligent promotion of the whole testing process is achieved, manual intervention is reduced, the maintenance cost is reduced, the testing accuracy and execution efficiency are improved, the testing coverage range is expanded, and reliable support is provided for quality assurance under Web application rapid iteration.

The invention relates to the technical field of industrial vision multispectral imaging detection, in particular to a defect detection method and system based on multispectral fusion imaging, and the method comprises the steps: synchronously collecting a multi-channel spectral image of the surface of an object to be detected, and generating an enhanced feature map fusing multispectral information; identifying and preliminarily marking a suspected defect region by applying a region segmentation algorithm based on anomaly detection; extracting a multi-dimensional spectral response curve of each region in each original spectral channel, and constructing a spectral feature vector; matching the vector with a standard template of a pre-established defect spectral feature database, and classifying and confirming defect types; and carrying out contour refined analysis, calculating the geometric dimension and position of the defect, and generating a structured detection report. According to the method, the sensitivity of defect detection and the classification accuracy are improved through accurate matching of multispectral fusion and spectral features, and automatic and high-precision defect identification is realized.

The invention belongs to the technical field of medical image processing, and particularly relates to a linear Transform general focus recognition method based on multiple perception and context guidance, and the method comprises the steps: extracting the multi-scale features of a medical CT image through a backbone network, obtaining the edge gradient features in parallel, making up the missing of focus boundary information through an edge perception feature enhancement module, and carrying out the recognition of the focus. And then global feature modeling under linear complexity is realized through a polarity perception feature interaction module, a high-discrimination-force multi-scale feature map is generated by using a context-guided feature pyramid network, and finally the model is optimized by combining a Hungary algorithm and a joint loss function based on an end-to-end detection architecture of set prediction. The problems that the focus boundary is fuzzy, feature interaction and calculation efficiency are balanced, and the focus and background separation degree is weak are effectively solved, double improvement of calculation efficiency and detection precision on massive medical image data is achieved, and reliable support is provided for clinical precise auxiliary diagnosis.

The invention discloses an industrial network fault intelligent diagnosis method and system based on multi-source data, and the method comprises the steps: synchronously collecting data from a plurality of data sources of an industrial network, and extracting a time sequence statistical feature, a flow entropy feature and a protocol conformity feature to form a multi-dimensional feature vector; establishing a dynamic baseline model by adopting a sliding window online learning method, and calculating a comprehensive anomaly score for anomaly detection; the fault suspicion degree is calculated based on the equipment incidence matrix and the fault propagation model to realize fault source positioning; carrying out fault type identification and root cause analysis by adopting Bayesian reasoning and a knowledge rule base; and outputting a structured diagnosis report containing the fault source, the type, the root cause and the disposal suggestion. According to the invention, early warning, accurate positioning and intelligent diagnosis of industrial network faults are realized, and the operation and maintenance efficiency, safety and reliability of the industrial control network are significantly improved.

The invention relates to spline housing cold heading forming equipment, and relates to the technical field of spline housing machining equipment, the spline housing cold heading forming equipment comprises a workbench, a fixed die holder mounted on the workbench and a movable die holder matched with the fixed die holder, and further comprises a demolding mechanism mounted on the workbench and used for demolding a formed spline housing; the demolding mechanism comprises a driving box installed on the workbench, a lifting assembly installed in the driving box and used for driving the fixed mold base to vertically move, a first threaded rod driven by the lifting assembly to rotate, and an oil storage box installed in the driving box. The driving and conveying assembly is driven by the first threaded rod and sprays lubricating oil stored in the oil storage tank to the fixed mold base and the spline housing; and the overturning assembly is mounted in the driving box and is used for driving the fixed mold base to overturn when the fixed mold base vertically moves. The spline housing demolding device has the effect that indentation and deformation cannot be caused to the surface when the spline housing is demolded.

The utility model provides an underwater robot for bridge detection, which relates to the technical field of bridge detection, and comprises a robot main body, a floating component for providing floating force is arranged at the upper part of the robot main body; the propeller set comprises two side propellers and two tail propellers, the two side propellers are located on the front face of the robot body, and the two tail propellers are located at the same end of the buoyancy assembly and symmetrically arranged front and back; and the two symmetrical walking mechanisms are arranged on the robot main body through mounting structural members. The beneficial effects of the utility model are that through the reasonable layout of the propeller group and the cooperative work of the propellers at the two sides and the tail part, accurate water surface positioning and movement are realized, and the robot is ensured to smoothly approach and fit a pile foundation from the water surface; the posture of the whole machine does not need to be adjusted when the pile foundation is close to the pile foundation, and the pile foundation can be directly adsorbed and attached through the propellers on the two sides; a tensioning mechanism in the walking mechanism has self-adaptability, and an elastic support is matched with a connecting frame connected in a sliding mode.

The invention provides a multi-modal semantic guided three-dimensional target positioning method, a medium and equipment. The method is realized based on a multi-modal semantic guided three-dimensional target positioning model, and comprises a multi-view semantic prior module, a text coding module, a double-branch point cloud coding and multi-source comparison supervision module, a sparse scene graph construction and graph relationship learning module and a positioning decoding module. The multi-view semantic prior module is used for segmenting the 3D scene point cloud into a 3D object point cloud, generating a multi-view 2D visual representation and encoding the semantics of the multi-view 2D visual representation; the double-branch point cloud coding and multi-source comparison supervision module is used for injecting semantic features into a 3D object point cloud to obtain 3D fusion features and realizing multi-source feature alignment through multi-source comparison supervision; the sparse scene graph construction and graph relation learning module is used for constructing a sparse scene graph and optimizing the sparse scene graph through a graph attention network; and the positioning decoding module is used for decoding and outputting a positioning result. The method can improve the target positioning capability of the model in a complex scene.

The invention relates to the technical field of assembling tools, and discloses a push rod assembly assembling tool which comprises a tool containing base, a mounting groove is formed in the surface of the tool containing base and used for being clamped into a table, the tool adopts a three-in-one integrated design, a push rod assembly is divided into three parts of assembling procedures, the assembling procedures are completed on the same tool containing base in a centralized mode, and the assembling efficiency is improved. The first assembling part is arranged along the Y axis and can synchronously complete pretreatment assembling of multiple sets of guide rod assemblies, the second assembling part arranged along the X axis is matched with the extrusion assembly to achieve pressing-in operation of a plastic cover, the third assembling part is arranged along the Z axis, assembling of a gear and a cover body assembly in a push rod shell assembly is achieved, the transfer time between procedures is greatly shortened, and the connection cost is greatly reduced. And through integrated layout, precise positioning and convenient operation design, the production efficiency is remarkably improved, the product quality is effectively guaranteed, and the labor and equipment investment cost is reduced.

The invention belongs to the technical field of copper rod machining, and particularly discloses a copper rod machining device and a machining process thereof.The copper rod machining device comprises a base, two sets of workpiece supporting frames, a lifting frame, two sets of cutting machines and a transverse embracing mechanism, and the two sets of workpiece supporting frames are symmetrically installed on the upper surfaces of the two sides of the base; the two sets of workpiece supporting frames are correspondingly connected with sliding blocks through bidirectional driving pieces correspondingly arranged in the two sets of workpiece supporting frames, assembling rods are fixedly installed on the outer sides of the two sets of sliding blocks correspondingly, and a first guide frame and a second guide frame are arranged between the two assembling rods with the opposite end faces correspondingly. According to the copper rod cutting and polishing integrated machining device, copper rod cutting and polishing integrated machining is achieved, the cutting position is accurately controlled, end face burrs are effectively removed, the equipment investment and the operation cost are reduced, the machining efficiency is improved, and the machining quality is improved. And the machining efficiency and the yield are improved, and the production requirements of small and medium-sized copper material machining enterprises are met.

The lifting device comprises a battery bin, an unmanned aerial vehicle positioning mechanism is fixedly installed at the top of the battery bin, a positioning platform is fixedly installed at the top of the battery bin, and a servo motor is fixedly installed on the right side of the positioning platform. And a driving box is fixedly installed in the positioning platform, a turbine and a worm which are meshed with each other are rotationally connected into the driving box, and a first bidirectional threaded shaft and a second bidirectional threaded shaft are rotationally connected into the driving box. According to the lifting device for automatic battery replacement of the unmanned aerial vehicle, automatic battery replacement of the unmanned aerial vehicle is achieved through cooperation of the lifting mechanism and the battery clamping mechanism, a double-shaft motor drives a threaded lifting shaft to rotate and drives a driving motor and a limiting cylinder to ascend and descend, and the threaded driving shaft drives a connecting plate and the battery clamping mechanism to move; the vacuum pump controls the vacuum chuck to suck the battery in the battery compartment and mount the battery to the unmanned aerial vehicle body, manual operation is not needed, and the problem of battery replacement in a complex environment is solved.

According to the auxiliary positioning clamp for milling the exhaust manifold, an inclined positioning supporting device is arranged on the right side of the upper end face of a bottom plate, and when the inclined positioning supporting device is connected with a flange at the lower end of a middle pipe of the exhaust manifold in a matched mode, an upper end pipe of the exhaust manifold is in a horizontal state, and a pipe opening in the elbow end of the upper end of the exhaust manifold is parallel to the corresponding side wall face of the bottom plate; the left side of the upper end face of the bottom plate is provided with a positioning and supporting assembly used for supporting the elbow end of the upper end of the exhaust manifold and determining the center position of a pipe opening, and the positioning and supporting assembly is matched with a pressing assembly arranged on the upper end face of the bottom plate to fixedly support the elbow end of the upper end of the exhaust manifold on the bottom plate. Initial positioning conditions are provided for the center of a pipe opening of the upper end pipe of the exhaust manifold, reliable supporting and fixing of the exhaust manifold on the bottom plate are achieved, the defect that a traditional clamp is high in requirement for machining equipment is overcome, machining cost is reduced, the exhaust manifold can be accurately and rapidly positioned and clamped, production cost is reduced, and the machining efficiency is improved. Equipment limitation is eliminated, and the production requirements of parts are met.

The invention relates to the technical field of power system energy storage equipment testing, in particular to a small and medium-sized industrial and commercial energy storage cabinet twin-trawling testing system which comprises a main loop, a secondary control loop and an anti-countercurrent detection unit, the main loop comprises double testing loops and four sets of alternating current contactors, and multi-machine twin-trawling testing frameworks such as one-to-one, one-trawling-two and one-trawling-three can be flexibly combined; independent switching between grid connection and grid disconnection is supported, the secondary control loop comprises a button with a lamp and a grouping reset button, and the countercurrent prevention detection unit detects the energy flow direction in real time through an intelligent electric meter and a current sensor and has a mains supply charging function. According to the test system, through a double-loop parallel test architecture and a multi-machine flexible combination design, the system can be synchronously butted with multiple energy storage cabinets to carry out parallel test, the test efficiency can be improved, and a safety system with anti-countercurrent detection, rapid mode switching and precise control protection guarantees the test safety; the arrangement of the standardized terminal and the button with the lamp simplifies the operation difficulty, and reduces the test threshold.

The invention discloses a rapid assembly welding construction method for boiler steam blowpipes. The method comprises the steps that small-pipe-diameter and large-pipe-diameter welding auxiliary structures are manufactured, pipelines are hoisted to the installation position for butt joint, the corresponding welding auxiliary structures are selected according to the pipe diameters so that pipe openings of the pipelines can be aligned and preliminarily welded and positioned, and final butt joint welding is completed after the auxiliary structures are dismantled. An auxiliary mounting and welding structure of the automatic screwing device is further manufactured, and the device enables a screwing driving mechanism to be in butt joint with a connecting bolt, a nut or an adjusting bolt by adjusting the positions of all parts and drives the screwing driving mechanism to rotate. According to the assembly welding device, the technical effects of quickly and accurately completing assembly welding of the boiler steam blowpipes and improving the construction efficiency and quality are achieved.

The invention provides a nucleic acid probe, a primer group, a kit, a detection method and application, and relates to the technical field of biology. The nucleotide sequence of the nucleic acid probe is as shown in SEQ ID NO. 1; wherein the 3'end of the nucleic acid probe is modified with MGB, and locked nucleic acid is modified at a base position corresponding to the difference between the swine fever wild strain and the swine fever vaccine strain in the nucleotide sequence. According to the nucleic acid probe, a specific sequence is utilized to precisely target a swine fever wild strain, and locked nucleic acid modification is introduced at a differential site, so that the recognition capability on single-base mismatch is remarkably enhanced, non-specific binding to a vaccine strain is thoroughly blocked, and false positive interference is eliminated; and 3 '-terminal MGB modification is matched to improve the binding stability and sensitivity, so that the efficient and accurate identification of the swine fever wild strain under the immune background is ensured.

The invention belongs to the technical field of oil and gas pipeline safety monitoring and unmanned aerial vehicle image analysis, and discloses a two-stage oil and gas pipeline occupation pressure monitoring method and system based on unmanned aerial vehicle space perception and deep learning fusion, and the method comprises the steps: obtaining image data and space data of a to-be-monitored region, combining the image data and the space data with a DEM, and obtaining a DEM image; realizing projection of geographic coordinates of the pipeline to image pixel coordinates to obtain a plane image of the pipeline; constructing and deploying a lightweight target detection network DRF-YOLOv8n, performing reasoning on a plane image of the pipeline based on the lightweight target detection network DRF-YOLOv8n, outputting a candidate bounding box, and performing screening and key frame judgment; a Promp-guide SAM pixel level segmentation module is used to realize pixel level segmentation of the key frame, and a candidate pixel mask is generated; and judging whether occupation occurs or not through the intersection of the pipeline projection line and the candidate pixel mask, and outputting alarm information with geographic coordinates.

The present application relates to the technical field of laser processing, especially to a lock processing and cutting device, which comprises a machine table and a transfer module installed on the machine table; a laser head is fixedly installed at the end of the execution component of the transfer module; a conveying assembly for conveying a sheet is fixedly installed above the machine table; wherein a positioning assembly for side positioning of the sheet and a stop assembly for stopping the end of the sheet are installed above the machine table; through the synergistic effect of the positioning assembly and the stop assembly, the present application realizes accurate positioning of the sheet, effectively guarantees the cutting accuracy and consistency of the lock panel; secondly, the traditional bench type single piece processing is replaced by a pipeline type continuous operation; the conveying, positioning and cutting processes of the sheet can be seamlessly connected, the auxiliary time of equipment waiting and manual intervention is reduced, the production efficiency is greatly improved, the finished product and waste after cutting can be automatically separated along the pipeline, and the post-processing process is greatly simplified.

The invention relates to the field of municipal engineering construction, in particular to gas pipeline construction equipment for municipal engineering. Comprising a conveying mechanism, a supporting and fixing mechanism and a groove cutting mechanism, the supporting and fixing mechanism and the groove cutting mechanism are sequentially arranged in the conveying direction of the conveying mechanism, the groove cutting mechanism comprises a fixed ring, a rotating ring and cutters, the rotating ring is coaxially and rotatably arranged on the fixed ring, and the cutters are evenly distributed on the rotating ring in the circumferential direction of the rotating ring. Each cutter can move in the radial direction of the cutter, the extrusion ring can move in the axis direction of the extrusion ring, a plurality of supporting pieces capable of moving in the radial direction are evenly distributed on the inner side of the extrusion ring in the circumferential direction of the extrusion ring, and an inner supporting driver is arranged on the extrusion ring. The rubber layer on the extrusion ring is elastically attached to the end face of the gas pipeline removal end, a uniform limiting contact face is formed, the stability of axial limiting is improved, the gas pipeline is internally supported through cooperation with the multiple supporting rollers, and the stability of radial limiting is improved.

The invention discloses a blue-green algae identification and quantification method and device based on unmanned aerial vehicle remote sensing images and deep learning and a medium, and relates to the technical field of information data processing. Combining meteorological data and water quality monitoring data to construct an adaptive dynamic environment algorithm to extract EXIF metadata including camera parameters and attitude angle information, and establishing a geometric projection model to perform coarse orthographic correction on an original aerial image; the method comprises the following steps: extracting a multi-scale cyanobacterial bloom image feature map by stages based on a ResNet architecture and in combination with a feature pyramid network FPN fused with an attention mechanism, and obtaining an instance mask of cyanobacterial bloom through an anchor-free region proposal network, ROI Align and a head network; based on an improved GIS space projection and deep learning algorithm, carrying out high-precision area measurement and calculation on a binary mask image converted from the instance mask; according to the method, the influence of irrelevant interference on blue-green algae identification can be reduced, and the accuracy and comparability of blue-green algae identification and area calculation are improved.

The invention relates to a medical high polymer material 3D intelligent printing method based on a selective laser sintering process. The method comprises the following steps that optimal initial process parameters are recommended based on material characteristics and part requirements; carrying out processing according to the optimal initial process parameters, and monitoring a processing material in real time through a sensor; if machining defects are monitored, an AI model is adopted to calculate and adjust technological parameters, and meanwhile, local repair is carried out on the detected defects; after printing of each layer is completed, the technological parameter database is updated, and technological parameters of subsequent layers are optimized until the machining process is finished; in the printing process, once defects are monitored, the AI model can quickly calculate and adjust process parameters, manual intervention is not needed, and the time for finding and solving problems is greatly shortened; meanwhile, the reinforcement learning algorithm can continuously learn and optimize a process parameter adjustment strategy, so that adjustment is more accurate and efficient, and repeated printing and repair time caused by unreasonable parameters are reduced.

The invention discloses a printing method, device and equipment for any-fold ink quantity output and a storage medium, and relates to the technical field of ink-jet printing. The method comprises the steps that the reciprocating scanning frequency, initial stepping information and ink amount adjusting information of a to-be-printed task are obtained; actual printing stepping information is obtained according to the reciprocating scanning times and the ink amount adjusting information; processing the to-be-printed data corresponding to each type of to-be-adjusted ink according to the reciprocating scanning times and the ink amount adjustment multiple to obtain actual printing data; and controlling a printing nozzle and a printing medium to move relative to each other according to the actual printing stepping information, and performing ink jetting in the moving process according to the actual printing data. The technical problem that an existing printing method cannot conveniently and accurately output the doubled ink amount with any multiple can be solved.

The application discloses a kind of key feature transformer health state detection systems, it is related to power equipment monitoring technical field, including: data acquisition module, data processing module, confidence calculation module, fault determination module and result output module;Data acquisition module synchronously acquires transformer oil tank surface vibration signal and neutral point direct current data;Data processing module calculates the phase difference of vibration signal and the coherence coefficient of vibration signal and direct current data;Confidence calculation module calculates mechanical fault confidence;Fault determination module judges whether mechanical fault confidence exceeds preset threshold, exceeds and then carries out winding loosening positioning processing, generates loosening coordinate;Otherwise, the multi-band resampling of vibration signal is carried out and the coherence coefficient data is recalculated;Result output module outputs loosening coordinate or interference warning signal;The application can improve the accuracy of transformer health state detection, ensure the reliability of fault positioning.

The invention relates to the technical field of temperature control, and discloses a BMS temperature control method and system, and the method comprises the steps: carrying out the multi-dimensional coupling of battery data, and obtaining a micro-region thermal state; predicting heat accumulation and generating a heat dissipation instruction based on load abrupt change superposition feedforward compensation; calculating heat distribution deviation evaluation stability according to the feedback signal; defining a lead compensation range by using a heat evolution model to generate parameter configuration; system response characteristics are obtained through calibration of the frequency spectrum and the state transition matrix; and fusing the temperature gradient distribution to generate a final advanced adjustment instruction. According to the method, accurate prediction and full-link advanced active intervention of micro-region thermal unbalance can be achieved, the problem of heat accumulation caused by load dramatic change is effectively solved through multi-dimensional feature coupling and a dynamic closed-loop calibration mechanism, and the system response speed and the temperature field balance are remarkably improved.

The high-strength three-way welding connection structure for the hydrogen conveying pipeline belongs to the field of three-way welding and comprises a base, two sliding grooves are formed in the upper surface of the base, first motors are fixed to the left side and the right side of the base correspondingly, and output shafts of the first motors penetrate into the sliding grooves and are fixedly connected with first screw rods; vertical frames are in threaded connection with the outer surfaces of the first screws, second motors are fixed to the opposite sides of the two vertical frames, and the opposite ends of output shafts of the two second motors penetrate to the opposite sides of the two vertical frames correspondingly. Supporting is provided from the inner wall of the three-way pipe through the supporting rollers, the transverse pipe positioning mechanism applies clamping force from the outer wall through the clamping blocks, a double-positioning structure of inner supporting and outer clamping is formed, it is ensured that three ports of the three-way pipe are strictly coaxial, and welding deflection is avoided; the clamping force can be automatically adjusted according to the small difference of the pipe diameters of the three-way pipes, the three-way pipes of different specifications can be rapidly matched through linear driving of the sliding frame and the air cylinder, and the universality is remarkably improved.

The invention provides a real-time disaster situation multi-dimensional verification alarm method and system based on a large model, and relates to the technical field of disaster situation response, and the method comprises the steps: carrying out the backtracking and calling of multi-source disaster situation associated data after a disaster situation early warning signal is received, and obtaining a heterogeneous disaster situation data set; starting a dynamic task chain scheduling mechanism, executing multi-priority thread trend analysis, and outputting a multi-dimensional index analysis result; executing multi-dimensional index cross verification, and outputting a disaster verification conclusion; disaster decision making is carried out, and a disaster decision instruction is generated; carrying out township-level disaster situation grid positioning, and outputting a disaster boundary coordinate set; after the thermal rescue target spot is framed, geological disaster avoidance analysis is carried out, and a safety buffer area is positioned; and executing an alarm verification response. The technical problems that in the prior art, a disaster monitoring and early warning system mainly depends on a step-by-step reporting mechanism, so that disaster information transmission is lagged, accuracy is lost, and timeliness and accuracy of post-disaster rescue work are affected are solved.

The invention relates to the technical field of particle detection, in particular to a SiPM test and calibration method and system for particle detection application, and the method comprises the following steps: extracting a slope quadratic difference set to determine a current change inflection point, calculating a local slope change proportion set to obtain a breakdown breakover voltage point, analyzing the output pulse triggering probability, and calculating the current change inflection point; and in combination with a photon number extraction probability growth interval, constructing a refined pulse extraction detection efficiency reference ratio, screening high-density trigger data, and calculating a spatial deviation extreme value, so that the system bias compensation voltage is adjusted. According to the method, the breakdown breakover voltage point is positioned, so that measurement interference caused by basic background noise is avoided, the attenuation number is counted to establish a trigger probability sequence, a preset maximum likelihood estimation model is combined to extract a detection efficiency reference ratio, a channel deviation extreme value is calculated to directly correct parameter fluctuation, and array global dynamic balance is established. And the long-term stability of the whole detection working state is maintained.

This utility model discloses a modular connection structure and smart glasses, including an electronic module component one and an electronic module component two connected by a detachable structure. After the electronic module component one and the electronic module component two are connected in place, a closed electrical circuit is formed, which can realize the quick assembly and disassembly of different modules. Firstly, it can reduce the weight of the wearer when not in use, and secondly, it is convenient for later replacement and maintenance, while also being adaptable to a variety of usage scenarios.

A mechanical high-strain guide hammering system comprises a vertical guide frame and a heavy hammer, the vertical guide frame is of a rectangular frame structure with an opening in the lower end, a hydraulic winch is fixedly mounted at the upper end of the vertical guide frame, a lifting seat is slidably mounted in the vertical guide frame, and the hydraulic winch is connected with the lifting seat through a steel cable; the lower surface of the lifting seat is connected with a hydraulic unhooking hook; a lifting point is arranged on the upper surface of the heavy hammer, the heavy hammer is connected with the hydraulic unhooking hook through the lifting point, the hydraulic unhooking hook achieves releasing and locking of the heavy hammer through a control oil way, and the heavy hammer moves up and down along an inner cavity of the vertical guide frame. A hinge seat is arranged on the side face of the vertical guide frame body, and the vertical guide frame body is connected with a mechanical arm of the excavator through the hinge seat. According to the utility model, the defects in the prior art are overcome, the accurate positioning of the heavy hammer in the hammering process can be effectively ensured, the heavy hammer is suitable for different detection environments, the risk of manual intervention is greatly reduced, and the working efficiency and the safety are improved.

The utility model relates to a kind of prepreg laying-up auxiliary devices, including material bearing assembly;The material bearing assembly includes cavity, the corner of the cavity is equipped with avoidance groove, the depth of the avoidance groove is same with the depth of the cavity;The inner wall of the cavity is equipped with at least one material taking groove and multiple limit grooves along its long side extension direction, the depth of the material taking groove is greater than the depth of the cavity;Multiple limit grooves are symmetrically set on the inner wall of the two sides of the cavity;The upper surface of the cavity is equipped with angle mark, and the angle mark includes at least one scale line for indicating the laying direction of prepreg.The prepreg laying-up auxiliary device of the application reduces the problems such as difficult to enter the mold and misplacement caused by size problem by controlling the size of laying-up blank;In addition, by matching the material cutting size with the cavity, the splicing gap or uneven lap phenomenon caused by artificial splicing is reduced, which is beneficial to size positioning when splicing prepreg.