155results about How to "Solve deviation" patented technology

The invention discloses a method for correcting dialogue intention information of old people based on a deep neural network, and particularly relates to the technical field of dialogue optimization, and the method comprises the steps: collecting and cleaning multi-topic multi-round dialogue data, marking multi-round dialogue corpora, and unifying the format; performing feature extraction on the labeled corpus by using the multi-intention recognition sub-model to generate a multi-intention representation vector capable of representing each intention; screening context content related to the target intention in combination with a hierarchical attention mechanism of user context dynamic weight adjustment; processing context content related to the target intention through gating operation based on multiple rounds of interaction history, and reserving semantic fragments with reference value; performing parallel analysis on the reference semantic fragments based on a multi-task learning structure of a deep neural network, performing classification processing on different intentions, and calculating scores; and executing multi-intention fusion correction operation according to classification and scoring results, and outputting intention information capable of distinguishing each intention.

The invention discloses a water level prediction model construction method based on image recognition, and relates to the technical field of water level monitoring. Comprising the following steps: establishing a visual reference system of a region, constructing a multispectral image data fusion module, constructing a water surface edge detection module, designing an anomaly detection mechanism based on self-supervised learning, constructing a water level height estimation model based on image semantic segmentation, and constructing a water level distribution prediction model combined with geographic information. A data feedback model based on meteorological dynamics is constructed, and a water level trend estimation module based on short-term time sequence prediction is introduced. According to the method, a water level prediction model is constructed by introducing technologies of multispectral image fusion, semantic segmentation and dynamic height estimation, and accurate extraction and prediction of water level information are realized under various environmental conditions. The robustness of the model under complex weather conditions is remarkably improved, and meanwhile, the problem of deviation caused by different visual angles and optical distortion is solved through dynamic adjustment factors and a geometric correction mechanism.

The invention relates to automatic welding equipment for oil and gas pipelines and a welding method.The automatic welding equipment for the oil and gas pipelines comprises a horizontal supporting plate, a fixed supporting plate, a sliding supporting plate, a driving mechanism, a pipeline supporting rod and a plurality of supporting rod assemblies, and the fixed supporting plate is fixed to the upper surface of one end of the horizontal supporting plate; the sliding supporting plate is slidably connected to the upper surface of the other end of the horizontal supporting plate and can be close to or away from the fixed supporting plate. The driving mechanism is installed on the fixed supporting plate, the driving end of the driving mechanism is connected with one end of the pipeline supporting rod, a rotating bearing is arranged at the other end of the pipeline supporting rod, a containing groove used for containing the rotating bearing is formed in the upper end of the sliding supporting plate, and the pipeline supporting rod and the horizontal supporting plate are arranged in parallel. The multiple supporting rod assemblies are arranged on the outer surface of the pipeline supporting rod and can move in the radial direction of the pipeline supporting rod. The welding point at the joint of the first oil-gas pipeline and the second oil-gas pipeline is more accurate, the welding use standard of a user can be met, and the welding requirement of the user for the pipeline is met.

The invention provides a coordinate fusion calibration method and system based on an XR technology, and the method comprises the following steps: S1, manually measuring a transformation matrix # imgabs0 #, S2, obtaining a transformation matrix # imgabs1 #, obtaining a transformation matrix # imgabs2 #, obtaining a transformation matrix # imgabs3 #, S3, carrying out the operation to obtain a transformation matrix # imgabs4 #, S4, carrying out the operation to obtain a transformation matrix # imgabs5 #, S5, carrying out the operation to obtain a transformation matrix # imgabs4 #, and S5, carrying out the operation to obtain a transformation matrix # imgabs4 #. S6, carrying out operation to obtain a transformation matrix # imgabs6 #; S6, carrying out operation to obtain a transformation matrix # imgabs7 # again, and adjusting the origin of the virtual world coordinate system to coincide with the origin of the coordinates of the real world; and S7, fusion is completed. The method has the advantages that the problem of position deviation of the virtual world and the real world of head display equipment in the prior art can be effectively solved, the relative transformation matrix of the head display camera C and the locator t is calculated through the method, then the fused transformation matrix # imgabs8 # is calculated, the origin of coordinates of the virtual world and the origin of coordinates of the real world are adjusted to coincide, and therefore the head display equipment is more accurate. And the exercise using accuracy of the user is ensured.

The invention discloses an automatic control method for tipping paper printing based on image detection, and relates to the technical field of tipping paper printing, and the method specifically comprises the following steps: obtaining surface feature information of each sub-region in a wrinkling region in a tipping paper printing process in real time, and analyzing the surface feature information after obtaining, respectively generating a light intensity anomaly index and a tension instability index of each sub-region; and constructing a wrinkling influence evaluation model for the light intensity anomaly index and the tension instability index of each generated sub-region, respectively generating a comprehensive evaluation coefficient of each sub-region, performing analysis after generation, and evaluating the influence degree of each sub-region in the wrinkling region on the generated printing alignment parameter. And dividing each sub-region in the wrinkling region into a non-influence region, a low-influence region and a high-influence region according to an evaluation result. According to the invention, the problem of insufficient characteristic identification and evaluation of the wrinkling area is solved, and intelligent improvement of printing alignment precision and finished product quality is realized.

The invention discloses intelligent low-clearance cast-in-place pile construction equipment, system and method. The construction site scanning and model building, paying-off and point position projection and correction, automatic construction path planning, drilling positioning, preparation work before drilling (burying of a soil layer structure integrity evaluation sensor), drilling construction and accurate control of perpendicularity and drilling depth, drilling lifting and in-hole environment detection are sequentially completed. And therefore, the intelligent construction operation of the cast-in-place pile is completed, the equipment has the construction characteristics of miniaturization and large drilling depth, and the intelligent construction operation under the low clearance working condition is perfectly achieved.

The invention discloses a heat preservation and heat insulation curtain and a production process, and provides a heat preservation and heat insulation curtain structure installed front and back, a second fixing plate is installed on a first fixing plate in a front-back rotating and hooking mode, and compared with a traditional overall installation mode or a transverse horizontal insertion mode, the heat preservation and heat insulation curtain can facilitate independent disassembly and assembly operation of a single curtain body. Limiting bosses are additionally arranged on the second fixing plate and the pressing strip, so that the pressing stability can be effectively improved. The groove planing structure is additionally arranged on the curtain body and matched with the matching body arranged on the edge covering strip, so that the structural stability of the covering edge and the curtain body during hot melting operation can be improved, and the problem that the edge covering strip deviates is solved.

The invention discloses an Issuus plant hopper imitating jumping robot, which relates to the field of jumping robots, and comprises a rack, a driving mechanism, a transmission mechanism, an energy storage mechanism and a supporting seat, the energy storage mechanism is connected between the rack and the supporting seat, and the driving mechanism and the transmission mechanism are both installed on the rack. The energy storage mechanism comprises a winding rope, an elastic sheet, a bionic gear and a connecting shaft; one end of the winding rope is fixedly connected to the supporting base, and the other end of the winding rope is wound and fixed to the transmission mechanism. The two sets of elastic pieces are symmetrically arranged, bionic gears are fixedly connected to the two ends of each set of elastic pieces, the two sets of bionic gears at the first end are meshed with each other and rotationally connected with the rack through connecting shafts, and the two sets of bionic gears at the second end are meshed with each other and rotationally connected with the supporting base through connecting shafts. The jumping robot has the advantage that the jumping ability of the jumping robot is improved.

The invention relates to the technical field of drill bit welding, and discloses a drill bit production welding device which comprises a base, a fixing assembly is installed on the upper end face of the base and comprises a plurality of external expansion plates, and a cylindrical base body is fixed to the outer sides of the external expansion plates; according to the device, by arranging the clamping mechanism and the adjusting assembly, coaxial positioning and equal-distance control over all the drill bit parts and the base body are achieved, and the multiple drill bit parts can be synchronously adjusted and positioned under the action of the clamping assembly through cooperative cooperation of an adjusting rotating shaft, a first driving gear and a plurality of threaded rods; when the first driving gear rotates, the threaded rods drive the clamping assemblies to be evenly close to the base body, and under the effect of the coaxial supporting barrel, it is guaranteed that the drill bit parts and the base body are always kept in a coaxial state; the drill bit parts are clamped through the evenly-arranged clamping pieces, the distance between each drill bit part and the axis of the base body can be accurately controlled, the deviation problem caused by step-by-step operation is solved, and therefore the coaxial precision in the welding process is greatly improved.

The utility model discloses a condenser copper pipe bending forming die, and relates to the technical field related to condenser machining. The bending device comprises a base, an air cylinder, a bending wheel, auxiliary wheels and a screw rod, a supporting column and the air cylinder located on one side of the supporting column are fixed to the upper end of the base, the two auxiliary wheels are symmetrically distributed above the bending wheel, a positioning beam is fixed to the top end of the supporting column, and the screw rod vertically penetrates through the position, between the two auxiliary wheels, in the positioning beam in a threaded connection mode. Two symmetrically-distributed rotating shafts are rotationally connected to the face, close to the air cylinder, of the supporting column, a rotating arm is fixed to the periphery of each rotating shaft, a shaft rod is fixed into the end, away from the rotating shaft, of each rotating arm, and the end, away from the supporting column, of each shaft rod is fixed to the end face of the corresponding auxiliary wheel. Through the arrangement of the base, the air cylinder, the bending wheel, the auxiliary wheel, the screw rod and the positioning block, the problems that the bending position is prone to deviation in a conventional bending mode, and the position of a bending point is not positioned during bending are solved.

The invention belongs to the technical field of fault diagnosis, and particularly relates to a gearbox fault diagnosis method and system based on cyclic pulse characteristic decomposition, and the method comprises the steps: constructing a new dictionary matrix, namely a cyclic pulse dictionary matrix, to accurately estimate a pulse cycle period contained in a signal formed by mixing a plurality of periodic pulse signals; a Goertzel algorithm is adopted to obtain corresponding frequency amplitudes according to the magnitude sequence of the energy values of the pulse cycle periods; and separating and reconstructing the CPCC corresponding to the pulse cycle period, and decomposing the signal into a plurality of CPCCs. According to the invention, the cyclic pulse dictionary matrix is constructed to carry out sparse representation on the pulse cycle period of the periodic pulse signal, and the cycle period of the fault pulse characteristic in the gear vibration signal is accurately estimated; the Goertzel algorithm is adopted to decompose and reconstruct the CPCC in the gear vibration signal according to the pulse cycle period, and the decomposed CPCC contains abundant periodic pulse characteristic information.

The invention relates to the technical field of virtual power plant evaluation methods, and particularly provides a virtual power plant demand response potential evaluation method and system, a terminal and a storage medium, and the method comprises the steps: obtaining historical power load data in a preset time period; carrying out dimension reduction calculation on the historical electrical load data according to a pre-selected load characteristic index; performing clustering analysis based on the dimension reduction data to obtain N groups of dimension reduction load data corresponding to the maximum clustering number N, performing dimension raising on the N groups of dimension reduction load data, and obtaining a corresponding clustering center curve based on the N groups of dimension-raised load data, the clustering center being a typical daily load curve; and carrying out demand response potential analysis on the N groups of load data after dimension raising by using an elastic coefficient method to respectively obtain response potential values of a peak period and a valley period, and subtracting the response potential value of the peak period from the typical daily load curve or adding the response potential value of the valley period to obtain an adjusted response potential value curve. The method has the advantage of reducing dependence on complex data.

The invention discloses a tunnel fire detection and simulation method and system driven by video data, belongs to the technical field of computer vision and machine learning, and solves the problem that the current tunnel fire target detection algorithm is easy to cause insufficient distinguishing capability of vehicles and flames in a complex multi-target scene environment. The method comprises the following steps: preprocessing an obtained original data set to obtain a target data set to train an improved YOLOv8 neural network model, and carrying out target detection on a to-be-detected tunnel fire scene disaster image to obtain a central coordinate of each preliminary disaster object target for correction; after correction, a monocular vision positioning method is adopted to carry out position calibration and distinguishing on the corrected disaster situation object target, and then real-time scene twinborn modeling is carried out, so that a tunnel fire scene twinborn model is obtained and dynamically updated; and performing flame spread analysis on the tunnel fire scene based on the tunnel fire scene twinborn model, and realizing dynamic updating in un ity. The method is used for tunnel fire detection and simulation driven by video data.

The invention provides a charging pile control method and system based on face recognition, and relates to the technical field of data processing, and the method comprises the steps: collecting an ordinary light face image and a near-infrared light image of a user through a camera, setting a multi-scale window according to the size of a pre-processed image, processing the pre-processed image, and obtaining a pre-processed image; analyzing the definition of the five-sense-organ features and the texture features to obtain a five-sense-organ fuzzy region and a texture fuzzy region, strengthening the edge lines of the five-sense-organ fuzzy region, and obtaining repaired five-sense-organ features; extracting highlight features according to the near-infrared light image to obtain infrared texture features; repairing the texture features of the texture fuzzy region; and the restored features of the five sense organs and the restored texture features are fused to obtain a real-time face image, the real-time face image is matched with a preset identity verification image, and whether a charging function is started or not is judged. The charging function of the charging pile can be controlled through face recognition.

The invention, which relates to the technical field of the e-commerce platform, discloses a cluster analysis-based extended insurance policy optimization system for an e-commerce platform, comprising a policy optimization module for optimizing the formulation of a pricing policy under an extended insurance policy of the e-commerce platform; the strategy optimization module comprises a strategy making unit, a function construction unit and a price making unit, the strategy making unit is connected with the function construction unit through a network, and the function construction unit is connected with the price making unit through the network. According to the invention, the strategy optimization module is designed, so that the optimal platform extended insurance strategy selection function of the e-commerce platform in the supply chain environment of manufacturer competition is realized, the operation efficiency and market response capability of the e-commerce platform are improved, and the scientificity and accuracy of the e-commerce platform in the extended insurance strategy making process are improved.

The invention relates to a method for multi-modal recommendation, electronic equipment and a readable medium, and the method comprises the steps: designing a graph purification strategy on an interaction graph, so as to eliminate a noise edge caused by non-uniform attention of a user; then, the three GCNs are applied in parallel to process multi-modal features and ID embedding respectively, and purified high-order representation of users and articles is obtained. For a second restriction, messaging is performed on the frozen user-user and item-item affinity maps to aggregate features between similar nodes. Summing learning results of the interaction graph and the affinity graph; afterwards, mutual information between ID embedding and modal features is maximized by introducing a contrast learning task and utilizing an inherent self-supervising signal of a multi-modal attribute, so that self-supervising learning without data enhancement is realized;

The invention discloses an agricultural product component content analysis method and system based on multispectral imaging, and relates to the technical field of agricultural product component content detection.The agricultural product component content analysis method comprises the following steps that component content characteristic data of an agricultural product is extracted; obtaining an agricultural product component content change trend in a future time period based on the content prediction model; judging whether the quality of the agricultural product meets requirements; and identifying the agricultural product component content related to the target index. Through the established component content prediction model, the component content change trend of the agricultural product in a period of time in the future can be predicted, so that prediction of nutrition loss or quality change of the agricultural product can be facilitated, and whether the quality of the agricultural product meets requirements can be accurately evaluated based on the component content change trend; the agricultural products can be sold and eaten in an optimal state, so that the quality standard of the whole agricultural products can be improved.

The invention discloses a pork marbling grade evaluation method, and relates to the technical field of image processing. The pork marbling grade evaluation method comprises the following steps: S1, acquiring an original image, and preprocessing the original image to obtain a to-be-evaluated pork image; s2, using the pure lean meat image to train an encoder, a decoder and a discriminator, and outputting trained encoder parameters and hidden space distribution; and S3, performing feature extraction on the to-be-evaluated pork image by using the trained encoder, calculating the distance between the to-be-evaluated pork and the pure lean meat in the hidden space, and evaluating the marbling grade of the pork according to the distance and the similarity. The problems of low efficiency and no fixed standard for evaluating the grade of the pork caused by manual comparison of the quality of the pork in a traditional method are solved.

The utility model discloses a UPVC pipe bonding auxiliary device relates to pipeline installation field, including slide rail, pipeline support block and two bonding direction adjusting block, be equipped with three slider on the slide rail, slider can freely slide along the slide rail, pipeline support block corresponds with the middle slider, its top is equipped with the semicircle concave cavity that is used for supporting UPVC pipeline, and the two bonding direction adjusting block is equipped with the semicircle concave cavity that is used for supporting the UPVC pipeline. Through the design of the pipe fitting concave cavity formed by combining the cross-shaped concave cavity and the round concave cavity at the bottom, the bonding direction adjusting block can position and support the UPVC pipe fittings, the angle between the two UPVC pipe fittings in the bonding process is ensured to meet the requirements (such as 0 degree, 90 degrees and 180 degrees), the problem of deviation caused by manual naked eye judgment is thoroughly solved, the production efficiency is improved, and the production cost is reduced. And it is ensured that the bonded pipeline is installed in place at a time, reworking is avoided, waste of materials is reduced, and working efficiency is improved.

The present application belongs to the technical field of industrial internet security, and relates to an industrial internet vulnerability library establishment method, which solves the problems of low construction quality, weak traceability, insufficient continuous evolution ability and difficulty in supporting deep security application of the existing vulnerability library. The present application obtains industrial internet multi-source vulnerability data and external feedback data, obtains extraction results and initial confidence based on multi-source vulnerability data by adopting rule extraction and remote supervision deep learning joint extraction, divides the certainty knowledge base and the to-be-reviewed queue according to the double threshold after the confidence is optimized by the graph convolution network, analyzes the external feedback data of the samples in the to-be-reviewed queue as the instant reward signal, optimizes the sampling strategy and updates the model through deep reinforcement learning, extracts triples from the certainty knowledge base to build a knowledge graph and generate a version hash chain regularly, and obtains a structured vulnerability knowledge base containing a hash chain and confidence evaluation. The present application realizes high-precision construction and dynamic optimization of the vulnerability library.

The utility model provides a material flow deviation rectifying mechanism of a belt conveyor. The material flow deviation rectifying mechanism comprises a liftable fixing frame, a horizontal telescopic arm, a universal joint, a detachable baffle connector, a material flow baffle and a material flow deviation detecting unit. According to the material flow deviation rectifying mechanism of the belt conveyor, the liftable fixing frame, the horizontal telescopic arm, the universal joint, the detachable baffle connector, the material flow baffle, the material flow deviation detecting unit and other structures are matched with one another, and when the material flow deviation rectifying mechanism is used, the material flow deviation detecting unit can capture the material flow deviation condition in real time; the horizontal displacement, the material blocking depth and the angle adjustment value required by the baffle are accurately calculated through a PID algorithm, and then the liftable fixing frame, the horizontal telescopic arm and the universal joint are controlled to cooperatively act, so that the material flow baffle can accurately guide the offset material flow to the central position of the belt conveyor, the problem of equipment deviation caused by material flow offset is effectively solved, and the service life of the belt conveyor is prolonged. And production accidents such as material scattering and equipment shutdown caused by deviation are avoided.

The patent relates to the technical field of tobacco, and particularly relates to a conveying system for a paper-process sheet drying oven and the paper-process sheet drying oven. The conveying system comprises a conveying device, a first deviation rectifying device and a second deviation rectifying device. The first deviation rectifying device and the second deviation rectifying device are both used to provide displacement in a deviation rectifying direction to the conveying belt, the deviation rectifying direction is perpendicular to the length direction of the conveying belt, the distance between the first deviation rectifying device and the end driving roller is not greater than 10%, 20% or 25% of the length direction size of the transmission assembly, and the second deviation rectifying device is arranged substantially symmetrically to the middle line of the transmission assembly in the length direction of the first deviation rectifying device. The patent can better solve the deviation problem of the conveying belt, save labor cost, improve production efficiency and reduce the labor intensity of the operator. The deviation rectifying frequency of the first deviation rectifying device and the second deviation rectifying device is lower during the working process, and the first deviation rectifying device and the second deviation rectifying device are more suitable for deviation rectifying of long-distance belt conveying systems and have a longer service life.

The present invention discloses a biological age prediction method and device based on non-targeted metabolomics, which relates to the field of biological data processing, including: constructing a biological age prediction model based on stacking integration and training it to obtain a trained biological age prediction model; processing and feature selection of mass spectrometry data of each metabolite in the blood sample of the person to be analyzed to obtain key metabolic features; inputting the key metabolic features corresponding to the person to be tested into the trained biological age prediction model, first passing through each base model in the base model unit to obtain a number of first ages, forming a first age vector with the first ages and inputting them into each secondary learner in the secondary learner unit respectively to obtain a number of second ages, forming a second age vector with the second ages and inputting them into the final learner to obtain the predicted age. The present invention solves the problems of low accuracy, lack of comprehensiveness, complexity and high cost of existing biological age assessment.

The invention relates to the technical field of vibrating screens, and discloses a square rocking screen and a superconducting motor driving assembly.The square rocking screen comprises a supporting frame and a protective shell, the protective shell is arranged in the supporting frame, an adjusting assembly is arranged in the middle of the inner wall of the protective shell, and the adjusting assembly comprises two symmetrical adjusting bins; two symmetrical first push plates are slidably connected into each adjusting bin, and first clamping plates are arranged on the left sides of the two first push plates located on the upper portion. Through mutual cooperation of a first air bin and a second air bin, the distance between a first clamping plate and a second clamping plate can be freely adjusted, when the position of the second clamping plate descends, the movement amplitude of a first screen can be increased through swinging, so that the vibration amplitude is achieved, and the screening efficiency is improved; and the area covered by the first clamping plate can be opened, so that the area of the first screen is increased, the screening amount is increased, and the accumulation condition is avoided.

The invention provides a training sample making method, a training sample making device and a computer storage medium. The training sample manufacturing method comprises the steps that according to a first video frame and a second video frame which are adjacent, a motion detection frame and an average video frame are generated, and the motion detection frame comprises an unknown area, a motion area and a static area; generating an initial unknown region pixel value according to the first unknown region pixel value of the first video frame and the second unknown region pixel value of the second video frame; establishing a three-dimensional array of pixel values of the initial unknown region according to the average pixel value of the average video frame and the motion pixel value of the motion detection frame; searching a pixel value of a target unknown area according to the three-dimensional array; updating the motion detection frame based on the target unknown region pixel value; and forming a training sample by using the updated motion detection frame, the first video frame and the second video frame. Through the training sample manufacturing method, high-quality training samples can be provided for the motion detection network.

The utility model discloses a gluing-free bulb which comprises a bulb shell, a lampshade, a lamp holder arranged at the upper end of the lampshade and a substrate arranged in the lampshade, a light-emitting element is arranged on the substrate, and a first clamping structure used for clamping the bulb shell and the lampshade and a positioning structure used for circumferentially positioning the bulb shell and the lampshade are arranged between the bulb shell and the lampshade. And a second clamping structure is arranged between the lampshade and the substrate. The LED lamp has the advantages of being simple, convenient, environment-friendly and capable of improving the overall stability of the lamp.

The utility model discloses a coal mine electromechanical conveying anti-deviation device, which belongs to the technical field of conveying equipment, solves the problem that coal is not uniformly distributed on the surface of a conveying belt, so that the stress of each part of the conveying belt is non-uniform, and the conveying belt deviates, and comprises a rack, the conveying belt, a conveying driving structure and an anti-deviation adjusting structure, the deviation-preventing adjusting structure is installed on one side of the rack and comprises an adjusting base, a telescopic rod and a deviation-adjusting push rod, the adjusting base is installed at the side end of the rack, the telescopic rod is installed on the adjusting base, a clamping base is arranged at the end, facing the conveying belt, of the telescopic rod, and the deviation-adjusting push rod is installed on the clamping base. The telescopic rod moves to drive the deviation adjusting push rod to move on the conveying belt. The deviation adjusting push rod is driven to move on the conveying belt through the movement of the telescopic rod, so that coal raw materials on the conveying belt are uniformly distributed as far as possible, the deviation adjusting problem is solved, the cost is lower, and the control is simple and convenient.

According to the technical scheme, the drilling machine for steel structure machining is characterized in that the drilling machine comprises a machining table, the top face of the machining table is fixedly connected with two supporting frames, the top faces of the supporting frames are fixedly connected with first electric push rods, one ends of telescopic shafts of the first electric push rods penetrate through the supporting frames and are fixedly connected with connecting frames, and the connecting frames are fixedly connected with the first electric push rods. An electric sliding table is fixedly connected to the interior of the connecting frame, a fixing plate is fixedly connected to one side of a sliding block of the electric sliding table, a first driving motor is fixedly connected to the top face of the fixing plate, and a driving shaft of the first driving motor penetrates through the fixing plate and is fixedly connected with a drill bit; according to the drilling device, a worker can adjust the moving frame according to the actual drilling position, the positioning hole is located in the actual drilling position of the steel structural member, then a drill bit can accurately drill the actual drilling position, and the drilling accuracy is improved.

The utility model discloses a swing arm type gravity mobile phone support without gear transmission, and relates to the technical field of mobile phone supports. Comprising a bottom shell, a face shell is arranged on one side of the bottom shell, the interior of the bottom shell is movably connected with a left transmission plate and a right transmission plate through two fixing shafts, and one end of the left transmission plate and one end of the right transmission plate extend to the two sides of the bottom shell correspondingly and are provided with clamping arms; a second driving rod with one end extending into the left transmission plate is arranged on one side of the right transmission plate, a supporting plate is movably arranged in the bottom shell, and one end of the first driving rod extends into the supporting plate. The supporting plate, the left transmission plate and the right transmission plate are in transmission connection through the first driving rod and the second driving rod, gear transmission is not needed, the structural design is simpler and more compact, machining and production are facilitated, the wireless charging coil is installed on the supporting plate and synchronously ascends and descends along with the supporting plate, and the problem that a small-size mobile phone and the wireless charging coil deviate can be solved.

The invention relates to the technical field of high-voltage cable fault detection, and provides a low-sampling high-voltage cable fault positioning method based on head edge correction and waveform quality weighting. The method comprises the following steps: deploying low-power-consumption wave recording terminals at two ends or key nodes of a high-voltage cable joint so as to collect a timestamp sequence when a high-voltage cable fault occurs; calculating a first edge slope, a signal-to-noise ratio and oscillation symmetry triggered by the first edge; calculating a waveform quality correction coefficient of the first edge based on the slope of the first edge, the signal-to-noise ratio of the signal and the oscillation symmetry; based on the timestamp sequence, screening subsequent timestamps strongly associated with the first edge by taking the first edge timestamp as a reference to obtain an effective timestamp sequence; and taking the first edge as a positioning reference, performing fitting correction on the deviation of the first edge by using the effective timestamp sequence and combining the waveform quality correction coefficient of the first edge to obtain a corrected first edge time difference, and further obtaining a fault position through a double-end positioning method.