27results about How to "Eliminate time" patented technology

The invention discloses a power plant data management method and system based on an SIS system, and relates to the technical field of data management, and the method comprises the steps: obtaining power plant operation data, and carrying out the unified formatting processing of the power plant operation data; preprocessing the formatted data, and removing noise and invalid data; performing quality verification on the preprocessed data, and checking data integrity and consistency; classifying, marking and storing the data subjected to quality verification into a database; and extracting and analyzing data from the database according to operation requirements of the power plant, and generating a decision report. According to the power plant data management method based on the SIS system, through unified formatting and time alignment processing, data format difference and time disorder between different devices are eliminated, and consistency and accuracy of data are ensured. And noise elimination, interpolation processing and anomaly detection are adopted, so that the data quality is guaranteed, and the reliability of an analysis result is improved. And aiming at data with different access frequencies.

The invention discloses a millimeter-wave radar-based personnel falling detection system, which is characterized in that in order to solve the problem that the noise of original data acquired by a millimeter-wave radar is relatively large, denoising processing is performed on radar echo signals by adopting wavelet transform, and noise interference is effectively suppressed and the signal quality is improved by setting a proper wavelet basis and a proper number of decomposition layers; the method comprises the following steps of: segmenting and aligning radar signals in a tumble process by adopting a dynamic time warping algorithm on the basis of extracting tumble features, and eliminating the influence of tumble speeds and durations of different people through nonlinear time normalization by the algorithm to obtain a normalized tumble feature sequence; a tumble attitude feature library is established, a support vector machine is adopted to carry out classification training on tumble features under different body types and attitudes, a self-adaptive tumble judgment model is obtained, and the generalization ability and the detection accuracy of an algorithm are improved.

A method of manufacturing a ball screw device includes a nut unit preparation step, a screw shaft preparation step, and an assembly step. In the nut unit preparation step, a nut unit is prepared in which a circulation component, a ball, and a temporary shaft that prevents the ball from falling off are assembled to a nut provided with an inner peripheral track surface. In the screw shaft preparation step, a screw shaft provided with an outer peripheral track surface is prepared. In the assembly step, after the nut unit preparation step and the screw shaft preparation step, the temporary shaft of an arbitrary nut unit is replaced with an arbitrary screw shaft to manufacture the ball screw device.

The present disclosure belongs to the technical field of video quality evaluation, and particularly relates to a video quality evaluation method, system, device and medium based on multi-modal parallel analysis, which comprises the following steps: receiving a course video to be audited, loading user preset audit parameter configuration; unpacking the course video to be audited to obtain an initial video coding stream and an initial audio coding stream, simultaneously performing audio track integrity checking, terminating the audio analysis process based on the checking result, only performing video analysis, or simultaneously performing video and audio analysis audit processes; pre-processing the initial video coding stream and the initial audio coding stream; based on an asynchronous parallel architecture, performing multiple audit tasks on the standard image frame sequence and the standard audio data in parallel to obtain multiple output results; converging the multiple output results, performing cross-modal space-time alignment and fusion deduplication processing to obtain a processing result; and generating a structured audit report according to the processing result. The present application improves the efficiency and accuracy of video quality evaluation.

The present application relates to the technical field of acoustic logging, and particularly relates to a high-stability wide-frequency distributed optical fiber acoustic wave sensing logging method and system. The method comprises the following steps: acquiring logging requirements and downhole geological structure characteristic data, simultaneously collecting corresponding acoustic wave signals, temperature field distribution signals and wellbore structure stress signals, and performing preliminary denoising and synchronization processing and wide-frequency expansion and distortion compensation processing, to generate downhole wide-frequency enhanced acoustic wave signals; based on the downhole wide-frequency enhanced acoustic wave signals, performing downhole propagation stability evaluation and stable adaptive optimization adjustment, to generate corresponding high-stability wide-frequency acoustic wave sensing signals; based on the high-stability wide-frequency acoustic wave sensing signals, performing distributed optical fiber acoustic wave sensing logging analysis, to generate corresponding geological structure and reservoir characteristic logging information. The present application can solve the problems of bandwidth limitation, signal distortion and poor stability of traditional optical fiber acoustic logging in a complex downhole environment, so as to realize high-precision detection of oil and gas reservoirs.

The application relates to the technical field of general control or regulation systems, and discloses a multi-device cooperative control method of a PCB pattern transfer production line, which comprises the following steps: calling a multi-dimensional process sensitivity coefficient matrix, stripping exposure error components and etching error components from nonlinear cumulative line errors output by a self-detection instrument; using a one-dimensional logic sliding window buffer to cache the etching error components of continuous substrates to calculate average dynamic deviation; comparing the average dynamic deviation with a control dead zone safety threshold value, and when the average dynamic deviation does not exceed the threshold value, a control loop enters a protective resting state for a spray pressure proportional regulating valve, and when the average dynamic deviation exceeds the threshold value, a discrete pressure compensation amount is calculated and output to the spray pressure proportional regulating valve. According to the application, feedback lag caused by long-distance transmission is eliminated through error cascade decomposition, mixed geometric deviation is restored to single process drift, random mechanical noise is isolated by means of dead zone control, surge of a regulating mechanism is avoided, and stable convergence of multi-device cascade process parameters is realized.

This application provides a multimodal ultrasound intelligent identification method and precision diagnosis system for thyroid lesions. The method determines image data blocks with multimodal spatial registration and grayscale-contrast temporal alignment. Based on the grayscale ultrasound image sequence in the image data blocks, a first depth feature map of the target user's thyroid region is determined. A second depth feature map of the target user's thyroid region is determined based on the elastography map in the image data blocks. The hemodynamic spatial distribution characteristics of the parametric map in the image data blocks are captured to determine a third depth feature map of the target user's thyroid region. Cross-modal fusion is performed on the first, second, and third depth feature maps, and then the lesion segmentation mask, benign / malignant probability value, and risk classification of the target user's thyroid region are inferred and output in parallel. Using the scheme of this application, high-precision spatiotemporal alignment and cross-modal depth feature fusion of multimodal ultrasound images can be achieved to complete end-to-end intelligent identification of thyroid lesions.

The invention discloses a fault early warning method and system fusing SAW temperature and UHF partial discharge, and belongs to the technical field of power equipment state monitoring, and the method comprises the steps: obtaining a surface acoustic wave temperature signal and an ultrahigh frequency partial discharge signal of power equipment, generating original time sequence data, respectively generating a temperature change rate parameter and a partial discharge activity intensity parameter, and carrying out the fault early warning according to the temperature change rate parameter and the partial discharge activity intensity parameter. Calculating a state correlation coefficient; comparing the state correlation coefficient with a linkage threshold value to generate a hierarchical fusion early warning signal; and analyzing the graded fusion early warning signal, and generating and outputting equipment fault early warning information containing fault property inference. Through a mode of synchronously acquiring temperature and partial discharge signals, calculating and analyzing statistical correlation of time sequences of the temperature and the partial discharge signals, and constructing a linkage threshold value to generate a graded fusion early warning signal, the thermoelectric coupling type fault can be accurately identified, the fault property is deduced, and the reliability and the intelligent level of early warning are improved.

The invention discloses a complex dynamic industrial visual positioning method and system based on multi-agent collaboration, and relates to the technical field of machine vision, distributed visual agent nodes are deployed in an industrial dynamic operation scene, and node microsecond-level time synchronization, space joint calibration and communication networking are completed; the nodes synchronously collect industrial images according to a preset time sequence, and a standardized data set is generated through preprocessing; dynamic target feature extraction is completed based on an improved deep convolutional neural network, and cross-node feature matching is completed in combination with epipolar constraints; a multi-view geometric constraint model is constructed to solve the three-dimensional pose of the target, and a positioning result is generated through dynamic interference compensation optimization; and outputting a positioning result, completing closed-loop feedback, and dynamically adjusting node parameters to realize multi-agent collaborative global optimization. According to the invention, the precision and the anti-interference capability of visual positioning in a complex dynamic industrial scene are improved, the multi-node load balancing is optimized, and the visual positioning operation requirements of various industrial dynamic scenes can be met.

The invention discloses a data acquisition method and system for a sensor network, and relates to the technical field of sensor networks, and the method comprises the steps: constructing a standard change formula and extracting a standard data set for calculation, and can respectively calculate the standard change rate V of each processing equipment state parameter. And on the basis, when the calculated standard change rate Vi (t) exceeds a set change rate threshold value Vth, the system judges that equipment operation is abnormal, and an event triggering stage is entered. At the stage, the operation frequency of the sensor module can be increased by 50%, so that more abnormal state parameters such as power fluctuation P, vibration frequency F and noise spectrum S are collected. And abnormal characteristic values Yc are calculated for the abnormal state parameters and are summarized into an abnormal characteristic set O, so that the identification capability of the system on equipment abnormity is further enhanced, potential faults are found in time, a basis is provided for a subsequent fault response stage, and the risk of fault occurrence is reduced.

The present invention relates to a double-station wire board storage mechanism, which includes a base, a guide assembly, a transition plate, a linear motion drive unit, a first wire board placement tool and a second wire board placement tool. The guide assembly is composed of a slider and a slide rail. The slide rail runs along the left and right directions and is detachably fixed on the base. The first wire board placement tool and the second wire board placement tool are both used to store wire boards and are fixed on the transition plate side by side along the left and right directions. The transition plate is fixed to the slider, and under the driving force of the linear motion drive unit, the first wire board placement tool and the second wire board placement tool are driven to perform directional sliding movement along the slide rail. In this way, the time required for stopping the machine for refilling is eliminated, thereby effectively reducing the auxiliary time required for the production of chip inductors, and greatly improving the production efficiency of chip inductors.

This application provides a multi-source data fusion production collaboration system and method for automotive parts, comprising: acquiring multi-source heterogeneous data from workshop equipment terminals, supplier interfaces, and logistics systems, wherein the multi-source heterogeneous data includes real-time equipment operating parameters, material arrival records, and transportation status information; removing duplicate records and abnormal data points from the multi-source heterogeneous data using data cleaning rules, and obtaining a unified structured standard data set through field format standardization and mapping processing; sorting the unified structured standard data set according to the timestamp and data category label of each data point to obtain an ordered multi-source data sequence; extracting the real-time data and process control data from the layered structured data set, and determining whether the current production batch is in a resource-constrained bottleneck state by matching production efficiency monitoring rules to obtain a production scenario determination result.

The invention relates to the field of punchers, and discloses a full-automatic punching method, a punching device and a puncher. The method comprises the steps that when an electrode needs to be replaced, a first electrode in a stock bin is fed into a rotating shaft of a rotating head in the process that the rotating head operates towards a first preset position or at the first preset position; the first electrode moves downwards and sequentially passes through the water stop plug and the upper locking part; when the lower end of the first electrode moves to approach or contact with the electrode detection part, the electrode detection part generates an electric signal; controlling a lower locking part to lock the lower end of the first electrode based on the electric signal; the rotating head is controlled to ascend to a second preset position, so that at least one part of the first electrode is located above the water stop plug, and the upper end of the first electrode is locked through the upper locking part; or, based on the electric signal, the upper locking part is controlled to lock the upper end of the first electrode; and the first electrode is controlled to rotate and move downwards, and the first electrode is used for conducting discharge perforation machining on the workpiece. By using the scheme, the success rate of electrode replacement and the processing efficiency can be greatly improved.

This invention discloses a transfer apparatus and an image forming apparatus. The transfer apparatus includes: a transfer member that is energized by a power supply to form a transfer electric field for transferring a developer image onto a recording medium; a transfer roller having a recess that accommodates a holding member, wherein at a transfer position, a transfer electric field is formed between the transfer roller and the transfer member, wherein the holding member holds the end portion of the recording medium; a short-circuit circuit that short-circuits the voltage applied to the transfer member with respect to a reference potential point; and a stop mechanism that activates the short-circuit circuit when the recess enters the transfer position as the transfer roller rotates, and deactivates the short-circuit circuit when the recess leaves the transfer position as the transfer roller rotates.

The invention belongs to the technical field of intelligent driving, and provides an intelligent driving system multi-source redundant time synchronization method and system and application, and the method comprises the steps: constructing three levels of redundant time sources which are arranged in a descending order according to priorities; after the intelligent driving system is powered on, the effectiveness of time sources is detected according to the priority sequence, double-source matching operation is executed, the effective time source with the highest priority is selected as a time service main source, and the time service main source is locked and not switched in the power-on period; an area controller is bypassed through an end-to-end direct connection synchronization mechanism, and a high-precision time synchronization full link is directly established with an intelligent driving area controller; and after power-off, the synchronization time of the intelligent driving domain controller is written into the nonvolatile memory, so that the continuity of the system time is maintained based on the third-level source when both the first-level source and the second-level source fail. According to the invention, the time synchronization effect of full-scene time continuity, high precision and no jump / conflict at the source end can be realized.

This invention discloses a dual-lifter coordinated conveying control method applied to a conveying system. The conveying system includes a first conveying section, a first lift, a second conveying section, a second lift, and a control system. The method includes: before a material carrier enters the first lift from the first conveying section, the control system controls the first lift to send a reservation request to the second lift; if the second lift meets preset authorization conditions, it provides authorization permission and locks the entrance of the second lift to prevent the material carrier from entering; after obtaining authorization permission, the material carrier enters the first lift from the first conveying section, and the first and second lifts dock at the same height; the conveying mechanisms of the first and second lifts are synchronously driven to transfer the material carrier from the first lift to the second lift; after the material carrier has completely entered the second lift, the lock on the entrance of the second lift is released, and the material carrier is sent from the second lift to the second conveying section.

The application provides a prefabricated small box girder reinforcing part integrated forming manufacturing method, which comprises the following steps: S1, bending the reinforcing steel bars through a reinforcing steel bar bending device to form reinforcing steel bar pieces and performing welding; S2, accurately arranging and limiting the reinforcing steel bar pieces through a crane hoisting to a positioning mechanism; S3, continuously straightening and cutting the coiled longitudinal reinforcing steel bars through a longitudinal reinforcing steel bar blanking mechanism to obtain reinforcing longitudinal steel bars; and S4, feeding the reinforcing longitudinal steel bars into a driving plate through a feeding mechanism, and cooperating the longitudinal reinforcing steel bar driving assembly and the connecting assembly to linearly insert the multiple reinforcing longitudinal steel bars through all the positioned reinforcing steel bar pieces. The application seamlessly connects and dynamically synchronizes the key processes such as the positioning of the reinforcing steel bar pieces, the longitudinal reinforcing steel bar insertion framework integral movement and the node consolidation, and through the assembly line type operation of positioning, insertion, translation and simultaneous binding and welding, the production process is changed from the static pedestal assembly to the dynamic linear flow manufacturing, and the efficiency is greatly improved.

The invention relates to the field of semiconductor packaging all-in-one machines, in particular to a semiconductor packaging full-automatic vacuum packaging all-in-one machine which comprises a machine tool support, a material conveying belt is movably installed on the left side of the machine tool support, and a transfer support matched with the material conveying belt is fixedly connected to the top of the machine tool support. According to the full-automatic vacuum packaging all-in-one machine for semiconductor packaging, through cooperation of the transferring support, the mechanical arm support and the scanning mechanism, synchronous parallel operation of semiconductor transferring and information strip processing is achieved, and specifically, in the one-time moving process of the mechanical arm, the mechanical arm is not prone to falling off; meanwhile, clamping and transferring of semiconductors, adsorption and extraction of information strips and feeding of the information strips into a guide groove for scanning are completed, so that the traditional serial step-by-step mode of moving the information strips first and then moving the semiconductors is thoroughly changed, the idle stroke waiting and repeated positioning time of a manipulator is eliminated, the cycle beat of single operation is greatly shortened, and the working efficiency is improved. Therefore, the packaging efficiency and the productivity of the production line are greatly improved on the whole.

This invention provides a method, apparatus, and vehicle for determining transmission system clearance parameters, relating to the field of transmission system control technology. The method includes: receiving a brake lock-up signal and confirming that the transmission system output is fixed; initializing the resolver position; executing at least one negative and positive torque output to control the resolver position change, causing a clearance change in the transmission system, and acquiring real-time torque, time, and real-time resolver position; calculating and determining the clearance parameters based on the real-time torque, time, and real-time resolver position, thus solving the problem of the lack of existing methods for accurately determining transmission clearance parameters.

The application discloses a multi-layer patch machine, which comprises a rack, a first roll material winding and unwinding device arranged on the rear side of the rack and used for gradually unwinding and moving adhesive particle roll material placed on the left side of the rack to the right side of the rack and synchronously winding the adhesive particle roll material on the right side of the rack, a patch area arranged in the middle of the rack, wherein the adhesive particle roll material passes above the patch area during the left-to-right transfer process, a rubber ring feeding area and a high-transparency film feeding area arranged on the front side of the rack and distributed left and right, a rubber ring feeding device arranged on the left front side of the rack, a second roll material winding and unwinding device arranged on the right front side of the rack and used for sending high-transparency film roll to the high-transparency film feeding area, and first and second patch devices arranged on the rack and distributed left and right, wherein the first patch device is used for transferring the rubber ring in the rubber ring feeding area to a specified position on the adhesive particle roll material in the patch area, and the second patch device is used for transferring the high-transparency film in the high-transparency film feeding area to a specified position on the adhesive particle roll material in the patch area.

The invention discloses a real-time image enhancement method and system based on CD-SEM raster scanning partitioning, and the method comprises the steps: S1, controlling an electron beam of a CD-SEM to scan a to-be-detected region according to a raster scanning path based on a preset image processing block size and overlapping region parameters, and obtaining an image collection block; s2, acquiring an image acquisition block, performing local histogram statistics, cutting and equalization processing on the current image acquisition block in sequence, generating a corresponding enhanced image processing block, and outputting the enhanced image processing block; s3, splicing the current image processing block with the spliced image; non-overlapped pixels between the current image processing block and the adjacent spliced image processing block are directly spliced; and for the pixels in the overlapped region, gray fusion is carried out by adopting a weighted average algorithm, so that a final overall enhanced image is generated. The method has the advantages of high efficiency, low delay, low memory occupancy, seamless integration, excellent enhancement effect and the like.

The present invention relates to a cleaner station coupled to a cleaner in order to collect dust inside a cleaner dust container. One embodiment of the present invention relates to a cleaner station, which includes, as a foreign material storage member, a member of a bin type rather than a bag type, is economical and can increase user convenience since the foreign material storage member does not require periodic replacement, and has a simple structure since a dust separator such as a cyclone is not included, and thus user convenience is provided such that a user can easily carry out maintenance and repair such as washing of a dust collection container.

The utility model relates to die technical field discloses a kind of flow channel switching mechanism of electric vehicle tail box injection mold, including equalization bin, and bin cover is installed on equalization bin, and a circle of conical feed hole is set in the outer edge of the end of equalization bin away from bin cover, and the outlet end of each conical feed hole is welded with distribution pipe at the end of equalization bin away from bin cover. The flow channel switching mechanism of electric vehicle tail box injection mold, by setting multiple distribution pipes in the bottom of equalization bin, and by permanent magnet control plugging structure to remove the blocking state of valve needle and corresponding conical feed hole, the opening and closing state of corresponding each shunt hole circular table boss is independently controlled, simultaneously, the switching between different flow channels can be quickly switched, the time required for flow channel switching in traditional successive injection molding is eliminated, the whole injection molding cycle is significantly shortened, and circular table boss directly blocks non-working flow channel, to avoid waste of injection liquid in flow channel switching process.

The application discloses a multi-modal depression detection method based on space-time frequency domain enhancement and mutual attention mechanism, and specifically comprises the following steps: step 1, preprocessing of multi-modal perception data of depression subjects; step 2, joint space-time frequency domain feature mining; step 3, frequency spectrum gating guided speech enhancement; step 4, landmark guided visual semantic reconstruction; step 5, three-way parallel mutual attention cross-modal fusion; step 6, spatial enhancement and classification discrimination; step 7, sample set decision statistics and global index evaluation. The method solves the problems of weak facial and speech subtle feature capturing ability, insufficient video and audio cross-modal correlation mining and original data susceptible to background noise interference.

This invention discloses a data analysis method for inspection robots based on digital twins, relating to the fields of artificial intelligence and robotics. The method includes: S100, constructing a time-axis aligned model of the equipment to be inspected and the inspection robot based on 3D modeling technology, and establishing a standardized interaction interface for multi-source heterogeneous data; S200, constructing a four-layer structured digital twin evaluation system covering geometry, physics, behavior, and rules based on the time-axis aligned model; S300, defining physical perception nodes, virtual mapping nodes, and state evolution nodes, while introducing environmental interference factors, constructing a real-time mapping logic graph, and marking data interaction paths in the graph. By constructing digital twins of physical equipment and inspection robots, real-time mapping between physical and virtual spaces, multi-source heterogeneous data fusion analysis, accurate fault diagnosis and location, predictive maintenance, and dynamic optimization of inspection tasks are achieved, significantly improving the intelligence level of inspections and equipment operation and maintenance efficiency.

The invention belongs to the technical field of intelligent control, and discloses a multi-machine collaborative operation anti-collision monitoring system and method, and the system comprises a distributed sensing layer which is used for obtaining local sensing data of current equipment and neighborhood sensing data of other equipment in a preset communication range, a local situation awareness result is formed after space-time alignment and data integration; the collaborative cognitive layer performs data registration on a local situation awareness result, eliminates coordinate deviation and time error across equipment, constructs a global environment map, and establishes a group motion intention model according to the operation task type, the motion mode and the historical track of each piece of equipment; the collision prediction layer is used for predicting an equipment motion track cluster in a future time window based on the current motion state of each piece of equipment and a group motion intention model, and identifying track crossing, operation area overlapping and speed conflict conditions through space-time occupation modeling; dependence on manual intervention is reduced, and the autonomous cooperation capability of operation is improved.

The invention discloses a trusted time distribution method and device, electronic equipment and a storage medium. The trusted time distribution method comprises the following steps: S1, constructing a block chain network; s2, the oracle machine transmits clock information to the block chain network; and S3, the time synchronization agent receives the time information from the block chain and completes time synchronization with the block chain, and meanwhile, the NTP network time protocol is used for external time synchronization. By adopting the technical scheme provided by the invention, the synchronization problem of the trusted time source and the secure clock of a single-point fault is eliminated.