246 results about "Computer control system" patented technology

The invention relates to the technical field of image super-resolution enhancement, in particular to a tablet computer image super-resolution enhancement method based on a generative adversarial network. The method comprises the following steps: collecting an image through a tablet computer, and carrying out regional illumination component calculation on the image to obtain detailed illumination component data; secondly, quantizing the motion out-of-focus fuzzy degree based on the illumination data, generating track fuzzy intensity sensing data, performing 3D modeling by combining the data, and estimating the distortion trend of the image; then, a shooting error is eliminated by using rendering visual angle distortion correction, a more real visual angle effect is generated, and super-resolution enhancement is performed on the image by using a generative adversarial network, and image details are improved. And finally, designing automatic firmware based on the super-resolution enhanced data, and embedding the automatic firmware into a tablet computer control system. According to the method, the image super-resolution enhancement technology is optimized, so that the image super-resolution enhancement technology is more perfect.

The invention provides a heavy truck battery compartment guiding method and system based on visual perception. The method and system are used for automatic battery replacement operation in a complex industrial environment. According to the system, a multi-camera fusion visual perception platform is constructed, a plurality of industrial cameras arranged on the ground or ceiling of a battery swap station are used for collecting local images of different visual angles of a battery compartment, and a complete visual field image is generated through feature matching and image splicing. A battery compartment is coarsely positioned by adopting a YOLO series model, a bounding box region is extracted, pixel-level contour segmentation is realized by introducing SAM, and the complex background and multi-interference environment recognition capability is enhanced. And after segmentation, calculating a minimum enclosing rectangle of the battery compartment, obtaining a center coordinate and a deviation angle, and transmitting a pose parameter to an upper computer control system. According to the method, the defects of the laser radar are avoided, image processing, the deep neural network and multi-view information are fused, the recognition precision and stability are improved, the battery replacement efficiency and the unmanned level of the electric heavy truck can be remarkably improved, and reliable support is provided for green traffic.

An electric vehicle charging station for charging electric vehicles includes a plurality of energy storage reservoirs configured to receive and store energy from one or more power sources and / or one or more power generators; one or more power heads for charging the electric vehicles at the electric vehicle charging station, the multiple power heads receiving electrical power from the plurality of energy storage reservoirs, the multiple power heads each being configured for releasably connecting to each of the electric vehicles for charging at the electric vehicle charging station; and a computer control system configured to monitor a charging demand at each of the one or more power heads and to connect one or more of the plurality of energy storage reservoirs to one or more of the power heads based on the charging demand of the one or more power heads.

The invention relates to the technical field of cloud platform computer control, and discloses a computer control system and method based on a cloud platform. The system comprises a multi-source data acquisition module which acquires heterogeneous data in real time and divides the heterogeneous data into time sequence segments; the data fusion preprocessing module is used for removing noise and screening key features to generate a standardized data stream; the dynamic decision control module outputs a control instruction set based on a deep reinforcement learning algorithm; the abnormal mode recognition module is used for recognizing anomalies by adopting spectral clustering and an isolated forest model; the resource flexible scheduling module is used for optimizing resource scheduling by using an improved genetic algorithm; and a safety audit module is also arranged to guarantee instruction safety. According to the system and the method, heterogeneous data of the cloud platform can be effectively acquired and processed, accurate decision control is realized, abnormity is accurately identified, resources are reasonably scheduled, system security, stability and resource utilization rate are improved, and complex service requirements of the cloud platform are met.

The invention belongs to the field of computer control systems, and provides an interaction control method and system based on smart home equipment, and the method comprises the steps: extracting the context information of a current user when there is missing control parameters, the context information comprising time information, a spatial position, an environment state and a user identity; constructing a control context map of the current user; searching a neighborhood user set similar to the behavior portrait characteristics of the current user, and extracting control parameter records of the neighborhood users in the context similar to the current user; performing weighted fusion on the historical control parameter of the current user and the control parameter of the neighborhood user to generate a target control parameter; forming a complete control command, and issuing the complete control command to the target smart home device to execute a control operation; and updating the control context map based on user feedback or a system monitoring result.

The invention discloses a radiotherapy laser positioning system and method, the system comprises at least three laser lamp systems, corresponding optical cameras and a computer control system, the laser lamp systems form cross cursors through two linear emitters installed in a T shape, the cross cursors are respectively arranged on the left side, the right side and the upper side of a treatment device, and a three-dimensional space positioning coordinate system is constructed. The optical camera automatically collects images of the body surface mark points of the patient and the laser cursor, and the computer control system carries out image processing, feature extraction and three-dimensional deviation calculation and feeds back deviation information to the treatment bed or the laser lamp system; and the electric control system drives the fine adjustment mechanism to perform three-degree-of-freedom accurate adjustment of translation, rotation and inclination until the mark point coincides with the cursor. According to the invention, optical automatic identification is adopted to replace manual naked eye positioning, personal errors are eliminated, rapid and automatic correction is realized, and the accuracy and efficiency of radiotherapy positioning are significantly improved.

The invention provides a photovoltaic panel sun tracking support and a tracking method thereof, a photovoltaic panel elevation angle adjusting device of the tracking support comprises a rotating shaft, and the rotating shaft is driven by a first driving device so as to adjust the elevation angle of a photovoltaic panel; the horizontal rotating device comprises a bidirectional multi-stage hydraulic cylinder, and the second driving device drives the bidirectional multi-stage hydraulic cylinder to rotate in the support sleeve so as to drive the photovoltaic panel bracket and the photovoltaic panel elevation angle adjusting device to horizontally rotate; the vertical lifting device is connected with a hydraulic power system, and the hydraulic power system adjusts the lifting of a piston rod by controlling the inlet and outlet of hydraulic oil in a bidirectional multi-stage hydraulic cylinder so as to drive the photovoltaic panel bracket and the photovoltaic panel elevation angle adjusting device to vertically lift; and the computer control system is connected with the first driving device, the second driving device and the hydraulic power system and is used for controlling the first driving device, the second driving device and the hydraulic power system. According to the invention, the position of the sun is tracked constantly, so that the photovoltaic panel is perpendicular to sunlight, and the photovoltaic generating capacity is improved.

The invention relates to the technical field of material preparation, in particular to high-flux alloy sintering equipment and a using method thereof. The equipment comprises an automatic powder supply module, a sintering chamber, a pressure device, an atmosphere control system and a computer control system, the automatic powder supply module is located above the sintering chamber and comprises four paths of powder feeders, a mixing cavity and a spiral feeding device, and heating units and temperature sensors which are distributed in an array mode are installed on the inner walls of the two sides and the rear side of the sintering chamber. A sample bearing device is arranged at the bottom of the sintering chamber, the sintering molds are placed above the sample bearing device in an annular array mode, and the pressure device is installed at the top of the sintering chamber and comprises an electronic press, a pressing rod and a pressing head. According to the equipment, a large number of alloy samples with different components and process parameters can be treated at the same time in one sintering experiment, the research and development efficiency of alloy materials is greatly improved, and the research and development period is shortened.

The invention provides a laser marking system and method for metal surface dazzling and coloring, and relates to the technical field of metal surface laser precision machining.The system integrates a femtosecond laser, a nanosecond laser, an optical bread board, a lifting platform, an electric rotating slide, a scanning galvanometer, a focusing lens, a computer control system and an adsorption platform; two laser marking processes of colorful marking and coloring marking are innovatively combined; the femtosecond laser device achieves a colorful effect on the metal surface through ultrashort pulses, and the nanosecond laser device generates a colorful effect of various colors through the heat effect. Automatic switching of the two lasers is controlled through the lifting platform, the computer automatically recognizes the drawing and document process type, and multi-color-zone pattern marking is efficiently completed. The system is simple in structure and convenient to operate, can meet the high-precision double-process marking requirement of the metal surface, and is widely applied to the fields of consumer electronics, anti-counterfeiting technologies and the like.

The invention provides an experimental device and method for simulating gas invasion well control of a complex karst cave type stratum. The device comprises a well drilling simulation system, a liquid-gas simulation system and a computer control system. The computer control system simulates an overflow and leakage coexistence scene by adjusting the well drilling simulation system and the liquid-gas simulation system, and in actual well drilling, if overflow and leakage occur, corresponding well drilling parameters can be collected according to overflow signals generated by actual well drilling; and corresponding control instructions and control parameters are output through the drilling parameters and the overflow and leakage control strategy, and the treatment effect and treatment efficiency of overflow and leakage coexistence are improved.

The automatic detection device comprises a base, a horizontal detection table top is arranged on the top face of the base, a track A and a track B which are arranged along the X axis are installed on the detection table top, a rotary driving mechanism is fixedly installed at one end of the track A, a sliding seat A is installed on the track A, an ejector pin support is installed on the sliding seat A, and a sliding seat B is installed on the track B; a cam detection mechanism is installed on the sliding seat B, the sliding seat B is connected with a first linear driving mechanism, the cam detection mechanism and the first linear driving mechanism are both connected to an upper computer control system, at least one set of self-adaptive supporting mechanism is installed on the track A and located between the ejector pin support and the rotary driving mechanism, and the self-adaptive supporting mechanism comprises a sliding plate. The bottom of the sliding plate is slidably connected with the track A. The top of the sliding plate is provided with a sliding bracket, the top of the sliding bracket is provided with a plurality of rotating shafts, and the axes of the rotating shafts are arranged along the X axis. According to the invention, automatic detection of the assembled overlong camshaft is realized.

The invention relates to the field of cell analysis, and provides a multi-mode digital micro-fluidic system and method for cell sorting analysis, the system comprises an active digital micro-fluidic platform, the active digital micro-fluidic platform comprises a micro-fluidic chip, an upper computer control system and an FPGA hardware circuit, an upper computer generates a liquid drop path planning instruction, the FPGA hardware circuit converts the liquid drop path planning instruction into an electrode driving signal, and the electrode driving signal is transmitted to the micro-fluidic chip; the nanoliter-grade liquid drops are driven to change between the electrodes; the optical tweezers platform comprises a laser device, an optical microscope and a CMOS camera, laser beams are generated by the laser device to form a three-dimensional optical potential well, the laser beams are transmitted into the micro-fluidic chip through the optical microscope to realize non-contact control on cells, and the CMOS camera records images and transmits the images back to the upper computer; the objective table clamp is used for realizing cooperative control of the optical tweezers and the active digital microfluidics; and the image recognition system is used for recognizing morphological characteristics of cells in the liquid drops based on a convolutional neural network and screening target cells. According to the invention, integration of high-throughput nondestructive cell sorting and in-situ multi-modal analysis is realized.

The invention discloses a smooth surface ring gauge automatic calibration device and method.The device comprises a clamping and positioning unit, a visual identification unit, a measuring unit and a computer control system, and the measuring unit comprises a metering type coordinate measuring machine, an automatic calibration module and a temperature acquisition unit; the visual identification unit comprises a line laser visual sensor and an image processing module, the computer control system is used for realizing data transmission and cooperation among the modules or units, and the line laser visual sensor adopts a laser triangulation method to scan the 3D contour of the smooth surface ring gauge to obtain point cloud data; the image processing module identifies and analyzes the point cloud data to obtain geometric feature information of the smooth surface ring gauge, the automatic calibration module adjusts a measurement scheme in real time according to the geometric feature information, and the metering type coordinate measuring machine measures all parameters of the smooth surface ring gauge according to the adjusted measurement scheme. According to the invention, full-parameter, high-efficiency, high-precision and integrated automatic calibration of the smooth surface ring gauge can be realized.

The invention discloses an intelligent detection system and method for the adhesive force of a galvanized wire strip steel zinc layer, and belongs to the field of material detection.The intelligent detection system comprises a stamping male die, a strip steel female die and a female die platform, the stamping male die is used for stamping strip steel, the strip steel female die is arranged below the stamping male die and placed on the female die platform, and the stamping male die is used for stamping the strip steel; and a movable guide rail is arranged below the female die platform. The die further comprises a high-definition camera system, a computer control system and a hydraulic system. The problem that an existing detection method is difficult to meet the rapid detection requirement of a continuous galvanizing production line is solved, the adhesive force of the zinc layer of the galvanized plate is detected through stamping deformation, the movable female die platform is adopted to adapt to galvanized plates of different thicknesses, the tedious process of female die replacement is avoided, the whole plate covering width of a stamping die is wide, multiple times of stamping are not needed, and the production efficiency is improved. The high-definition camera system collects images, the computer control system automatically recognizes dezincification and cracks, personal errors are avoided, the steel coil is automatically blocked and an operator is reminded when detection is unqualified, and the product quality is ensured.

The invention discloses an integrated brain-computer control system and method for a non-programmable user, and the system comprises a stimulation normal form generation module which is used for providing a graphical user interface, receiving stimulation normal form configuration information inputted by the user through the graphical user interface, and generating a stimulation normal form which is used for visually inducing the electroencephalogram potential of the user, generating electroencephalogram characteristics which can be captured; the electroencephalogram acquisition module is used for acquiring electroencephalogram data; the central scheduling and management module is connected with the electroencephalogram acquisition module and is used for storing electroencephalogram data; the signal processing module is used for analyzing the read electroencephalogram data, identifying a control intention and sending the control intention to the central scheduling and management module; and the equipment control module is used for mapping the read control intention into an equipment control command in a predetermined format, and the equipment control command is used for controlling the controlled equipment. The invention aims to reduce the design and use threshold of a brain-computer control system, so that a non-programming user can quickly design a stimulation normal form, collect data and realize real-time brain control on external equipment.

The invention discloses a control method and system for active film winding and unwinding speed in the continuous fiber laying process, and belongs to the technical field of continuous fiber reinforced composite material additive manufacturing. According to the control method, the upper computer control system of the whole system controls the rotating speed of a film winding roll and the rotating speed of a yarn unwinding roll, and the rotating speed and the radius of a pressing wheel are both considered. The pressing wheel serves as a main device for driving the whole system to operate, meanwhile, the thickness of a film winding roll and the thickness of a yarn unwinding roll change continuously along with continuous fiber laying, the pressing wheel serves as main traction film winding equipment, meanwhile, the continuous change of the thickness of the film winding roll and the thickness of the yarn unwinding roll are considered, and the film winding roll and the yarn unwinding roll are continuously wound along with continuous fiber laying. And the rotating speeds of the film winding roll and the yarn unwinding roll are continuously changed. According to the method, equipment space is saved, cost is reduced, film collecting accuracy is improved, shutdown faults are reduced, and efficiency is improved.

The present invention provides a semi-active tuned mass damper based on intelligent materials, comprising: a passive control part, an intelligent control part, a first-stage vibration reduction part, a second-stage vibration reduction part and a health monitoring part, wherein the intelligent control part uniformly controls the first-stage vibration reduction part, the second-stage vibration reduction part and the health monitoring part; the tuned mass damper of the present invention can achieve two-way vibration control of a building structure, real-time monitor the vibration responses of the tuned mass damper and the main structure, and start the semi-active control of the intelligent materials after the computer control system collects and analyzes data.

The invention discloses a CARS-LA-ICP-MS combined multimode analysis system. The CARS-LA-ICP-MS combined multimode analysis system comprises a fusion light path module, a mass spectrometry gas path module, a three-dimensional mobile station, a CARS signal acquisition system and a computer control system, the fusion light path module comprises a laser source, an optical parameter amplifier, a light pulse time delay system, three dichroscopes, a light beam adjusting system, a galvanometer, a movable objective lens and a camera; the mass spectrometry gas circuit module comprises a carrier gas supply device, a multimode analysis sample cell and a mass spectrometry device; the multimode analysis sample cell comprises an upper cover, a lower cover and a side wall shell. On the other hand, the invention discloses an analysis method which comprises initialization setting, CARS analysis, mass spectrum analysis task parameter setting, laser ablation mass spectrum analysis and data synthesis. Through coaxial optical path design and an intelligent algorithm, deep fusion of chemical imaging and elemental analysis is realized, and a brand new research tool is provided for the fields of life science, material science and the like.

The invention belongs to the technical field of optoelectronic equipment testing, and particularly relates to a method for testing irradiation intensity of an area light source device, which comprises the following steps of: firstly, dividing the area light source device into a plurality of test areas, and numbering each area; secondly, acquiring the irradiation intensity of each test area in real time by using a high-precision optical sensor array; then, the collected analog signals are converted into digital signals through an A / D conversion circuit, and the digital signals are transmitted to a data processing unit; then, the data processing unit calculates the irradiation intensity value of each area, and analyzes the uniformity and consistency of the overall irradiation intensity distribution; and finally, displaying a test result through an upper computer control system, and generating an irradiation intensity distribution diagram. Through the high-precision sensor array and the data processing technology, the irradiation intensity distribution of the area light source device can be rapidly and accurately tested, a reliable basis is provided for light source performance optimization, and the method has the advantages of being efficient, accurate and high in practicability.

The invention discloses an electric connector detection system and method based on vision, and belongs to the field of machine vision and industrial detection, and the system comprises a large constant water star series industrial camera, a multi-angle and high-uniformity adjustable light source system, a product feeding moving and packaging mechanism, a computer control system and UI software. Wherein the computer control system adopts multi-thread scheduling, a modular architecture and a sub-pixel-level algorithm, and supports high-throughput processing of 3-6 4024 * 3036 pixel industrial cameras, an image acquisition module of the computer control system can uniformly manage multiple models of cameras, and a UI (User Interface) is a drag-and-drop interface and integrates debugging tools such as OpenGL (Open Graphics Library) and parameter hot loading; the method comprises the steps of hardware configuration, trigger starting, image acquisition, positioning correction, ROI drawing, detection, reference line determination, size measurement and sorting control, ROI drawing can adapt to regular and irregularly arranged pins, the adaptability is high, the precision is high, operation is convenient and fast, full-process automatic detection can be achieved, and the requirement of a high-speed production line is met.

The invention discloses a special-shaped probe multi-point refrigerating system for bronchoscope cryopreservation, and relates to the technical field of medical instruments, the special-shaped probe multi-point refrigerating system mainly comprises a probe, an air pressure sensing execution sleeve and a wireless computer control system, the special-shaped probe on the probe is provided with four dome cylindrical protruding parts, the middle of the special-shaped probe is sunken, and five capillary tubes are arranged in the probe; the five point refrigeration areas correspond to the convex part and the concave part of the special-shaped probe respectively, so that the five point refrigeration areas are independent; an initial pressure value required by pressure reduction and heat absorption of high-pressure gas is calculated, a wireless signal is transmitted by a computer control system, and then the five air pressure sensing execution sleeves release corresponding pressure, so that the temperature of different point positions on the special-shaped probe is different. Meanwhile, the provided multi-point refrigeration system achieves independent adjustment of the temperatures of different point positions in the probe, prevents the probe from touching and frostbite surrounding healthy tissues by mistake, and has a good clinical application prospect.

The invention provides a multi-battery pack parallel management upper computer control system, comprising a plurality of battery packs which are electrically connected in sequence; the USBCAN box is respectively connected with the CAN interface of the battery pack at the head part and the CAN interface of the battery pack at the tail part, and is used for acquiring CAN communication data of each battery pack; the upper computer is connected with the USBCAN box and comprises a file analysis module which is used for loading a DBC file according to a DBC protocol file rule, interpreting an analysis setting rule in the DBC file to generate a datatree structure marked by a CANID, and analyzing the CAN communication data according to the datatree structure to obtain structure type data; the data analysis module is connected with the file analysis module, and is used for reading corresponding structure class data according to a single data analysis instruction when the single data analysis instruction input from the outside is received, and storing the structure class data in a hash table according to the form of a single parameter name and an analysis value so that a user can read the structure class data by using a hash [signal name] instruction; and the parallel package analysis module is connected with the data analysis module, and is used for creating a new hash table by adopting an instruction of new hash ['pack No '] when a new battery pack is connected in series into each battery pack so as to carry out entry of structural data of the new battery pack. The method has the beneficial effects that any CAN communication data can be analyzed, and data analysis under the condition that a plurality of battery packs are combined is supported.

The invention discloses a computer control system for industrial automatic production, which relates to the technical field of industrial automation and comprises a data acquisition module for acquiring production data on a production line in real time and transmitting the data to a production data analysis module; the production data analysis module is used for establishing a production plan analysis model according to the collected data; the production scheduling module predicts the production plan by using a time sequence analysis method based on the output of the production plan analysis model, adjusts and optimizes the production plan based on the prediction result of the production plan, and generates a control signal; and the equipment control module is used for adjusting the working state of each piece of production equipment according to the control signal generated by the production scheduling module. Through deep integration and optimization of the modules, the automation level of the production line is improved, the production process is more flexible and efficient, changes of production requirements can be responded in real time, and the production efficiency and the resource utilization rate of enterprises are improved.

The invention discloses a mixed-flow pump with a self-adaptive blade setting angle in a transient process. The mixed-flow pump comprises a blade adjusting structure and a self-adaptive control unit, the blade adjusting structure is arranged in an impeller hub and comprises a telescopic device, one end of the telescopic device is arranged outside a pump shaft in a sleeving mode, and a driving gear is fixedly connected outside the end of the telescopic device. The other end is connected with the servo motor; a driven gear is arranged at the position of the meshing point and fixedly connected with one end of a blade fixing shaft, the blade fixing shaft is embedded in the impeller hub, and the other end of the blade fixing shaft is connected with blades. The blade fixing shaft is provided with a blade fixing shaft rotation braking device; the self-adaptive control unit comprises a computer control system and a pump operation data acquisition device, the pump operation data acquisition device is in signal connection with the computer control system, and the computer control system outputs a blade adjusting instruction to the blade adjusting structure to adjust the blade placement angle. The device can realize the self-adaptive adjustment of the blade setting angle in the transient process, and adapts to different liquid flow angle changes, so that the efficiency of the mixed-flow pump is improved, and the pressure pulsation, vibration and the like in the transient process of starting and stopping of the pump and the operation under the bias working condition are reduced.

The invention relates to the technical field of brain-computer interfaces, in particular to a wearable helmet brain-computer control system and a wearable helmet brain-computer control method. The wearable helmet brain-computer control system comprises a multi-mode sensor assembly, an inertial measurement unit, an inertial measurement unit, an inertial measurement unit and a brain-computer interface control module, and the multi-mode sensor assembly is used for synchronously collecting electroencephalogram, electrocardiogram and electromyogram physiological signals and head movement data of the inertial measurement unit; the motion artifact removing module is used for predicting motion artifacts through a Hammerstein-Wiener model on the basis of IMU (Inertial Measurement Unit) data, separating artifact components in mixed electroencephalogram signals by combining an independent component analysis model, and reconstructing pure electroencephalogram signals; the central processor is used for carrying out feature extraction and decoding on the pure electroencephalogram signal and generating a control instruction; the control instruction interface is used for outputting the control instruction to external equipment; the storage module is used for storing an original signal and a processing result; the wireless transmission module is used for realizing data interaction with a terminal; the core problems that a traditional device is poor in signal quality and unstable in control in a dynamic environment are effectively solved.

A multi-agent computer control system optimises the coordination of autonomous agents using an iterative optimisation process. The system initialises system states and relational constraints, receives state intentions from multiple agents, and computes a combined set of permissible states. The optimisation process transforms system states into Base_Equilibrium_Factor_Northogonal (BEFN) states, where equilibrium, factor, and northogonal geometries define structured search directions. The system iteratively refines states by searching along equilibrium geometry, northogonal geometry, and updating the base point to determine an optimised state. Unlike conventional gradient descent methods, which rely on gradient-based minimisation, the present system uses multi-directional search mechanisms that improve constraint-aware optimisation, prevent local minima, and enhance agent coordination. The optimised state is used to dynamically control the agents, ensuring efficient, scalable, and adaptive decision-making in real-time multi-agent environments. The disclosure is applicable to autonomous traffic coordination, robotic systems, distributed computing, multi-objective optimisation and other multi-agent systems requiring dynamic optimisation.

The invention provides an intelligent catch basin control system and method based on multi-source sensing dynamic coupling, and the system comprises a hardware layer which comprises a sensor module, an actuator module and a control card module. The sensor module is used for collecting multi-source data in the running process of the intercepting well and is in communication connection with the upper computer control system; a core decision algorithm module is integrated in the upper computer control system and is used for analyzing and processing the multi-source data acquired by the sensor module, and the core decision algorithm module generates a corresponding control decision according to the multi-source data; the core decision algorithm module is used for feeding back the generated control decision to the upper computer control system and outputting the control decision to the control card module through the upper computer control system; and the control card module is in communication connection with the actuator module and drives the actuator module to execute corresponding actions according to the control decision.

The invention discloses an electromagnetic type integral lifting construction device and a control method thereof, and the electromagnetic type integral lifting construction device comprises an electromagnetic lifter which is connected with a lifted structure through a steel strand; the electromagnetic lifter comprises an upper anchorage device, a lower anchorage device, an electromagnetic telescopic cylinder and a composite controller, the composite controller controls telescopic motion of the electromagnetic telescopic cylinder and magnetic poles of electromagnets in the upper anchorage device and the lower anchorage device according to instructions issued by the computer control system, and when the magnetic poles of the electromagnets are changed, the anchorage devices lock the steel strands or unlock the steel strands; in the lifting process, after the electromagnetic telescopic cylinder reaches the preset single-time elongation amount, the lower anchorage device is opened, the upper anchorage device is locked, the telescopic end moves downwards and retracts, and the lifted structure is kept static; after the telescopic end completely retracts, the upper anchorage device is opened, the lower anchorage device is locked, then the telescopic end extends upwards, and the lifted structure moves upwards; and the structure to be lifted is lifted step by step by repeating the steps. The device is small in occupied area, and full-automatic control of the lifting construction process can be achieved.

The invention relates to the technical field of semiconductors, and discloses a wafer loading and unloading device and method.The device comprises an upper computer control system and further comprises a mechanical arm system and a detection table system which communicate with the upper computer control system; the mechanical arm system comprises a mechanical arm controller communicating with the upper computer control system, and further comprises a wafer storage box and a feeding and discharging mechanical arm which communicate with the mechanical arm controller, and the wafer storage box and the feeding and discharging mechanical arm communicate with the upper computer control system. The detection table system comprises a detection table controller communicating with the upper computer control system and a detection table communicating with the detection table controller. The problem that in the prior art, transmission errors are large is solved.

The present invention discloses a contactless online detection device and method for the falling strength of raw balls of pellets, comprising: a sampling assembly device; a raw ball particle size detection and screening device, and a raw ball strength detection device; a computer control system for controlling the movement of detection cameras in the raw ball particle size detection and screening device and the raw ball strength detection device, while simultaneously acquiring images from the cameras for identification and judgment, and converting the results of the identification and judgment into corresponding data for display. Ensuring that there is no contact between the human body and the raw balls during the detection process not only ensures the integrity of the raw balls but also improves the accuracy of the detection results, so that the raw ball strength detection can be completed independently without relying on the subjective experience and judgment of the staff; at the same time, information on multiple dimensions and angles of the raw balls can be captured, and with the help of image processing technology, the morphology, structure, and surface characteristics of the raw balls can be accurately analyzed, which is beneficial to the optimization and improvement of the production process. The efficiency of strength detection and the accuracy of detection are greatly improved.