341 results about "Visual control" patented technology

The invention discloses an unmanned aerial vehicle inspection method and system based on AI visual control, and belongs to the technical field of unmanned aerial vehicle automatic control, and the method comprises the steps: carrying out the feature component extraction and compression according to discontinuous frame image data collected by an airborne camera and preset inertial navigation data, and obtaining a compressed feature flow; performing multi-mode obstacle safety level parameter analysis, generating an obstacle avoidance decision priority map, constructing a safety corridor, and generating a real-time self-correction route; semantic analysis is carried out on the deviation between the real-time flight trajectory and the real-time self-correction route, and target area abnormal mark data is generated; and dynamically adjusting the bandwidth allocation of the dual-channel communication network, and transmitting the abnormal mark data of the target area to a ground control terminal. According to the method, a non-continuous frame image and inertial navigation fusion modeling mechanism is adopted, and a multi-mode obstacle safety grading and double-channel dynamic bandwidth allocation strategy is combined, so that real-time response of dynamic obstacle avoidance, accurate judgment of anomaly detection and efficient transmission of key data can be realized.

The invention relates to the technical field of non-electrical variable control, in particular to a digital visual control system and method for a glass bottle production line. The method comprises the following steps: acquiring digital image data of molten glass; molten glass bubble distribution is identified based on the molten glass digital image data, the quality state of the molten glass is evaluated, and micro-defect distribution map data is generated; collecting the internal temperature of the smelting furnace through a temperature sensor array, and constructing a three-dimensional temperature field distribution model of the smelting furnace; and predictively optimizing and adjusting the heating control parameters of the smelting furnace based on the three-dimensional temperature field distribution model of the smelting furnace, and generating a regional heating power distribution strategy. According to the invention, through fusion of a plurality of advanced technologies, accurate sensing and whole-process linkage control of the molten glass state are realized, intelligence, quality uniformity and process visualization level of glass bottle production are significantly improved, and glass manufacturing is promoted to develop towards the intelligent and efficient direction.

The invention relates to the technical field of industrial automation and process control, in particular to a digital visual control system and method for automation equipment. The method comprises the following steps: carrying out image sequence acquisition and preprocessing on the material conveying automation equipment to obtain an enhanced flow image set; performing flow texture and flow velocity distribution analysis on the enhanced flow image set to obtain a texture feature data set and a velocity field distribution diagram; performing flow state feature extraction on the texture feature data set and the velocity field distribution map to obtain a flow state feature vector map; performing three-dimensional point cloud construction on the material to obtain a stacking curved surface model; and carrying out repose angle measurement and partition processing on the accumulation curved surface model to obtain a repose angle distribution diagram. By means of the industrial automation and process control technology, control normal form transformation from passive response to active prevention is achieved, and the stability and accuracy of the powder material conveying and subpackaging process are remarkably improved.

The invention relates to the field of image processing, and discloses a lightweight container correction method and system based on machine vision, and the method comprises the steps: building a detection model through enhancing the feature response of a corner fitting region, detecting a corner fitting, calculating a disparity map of a multispectral image, reconstructing the three-dimensional coordinates of the corner fitting, and carrying out the pose conversion; identifying time-varying parameters on line to construct a state transition matrix, calculating predicted vibration displacement, projecting the vibration displacement to a world coordinate system, and calculating innovative sequence variance to dynamically adjust noise parameters; an inner and outer ring control framework is constructed, and an outer ring visual controller generates target force by calculating pose errors in a world coordinate system; an inner loop force control compensator combines predicted vibration offset and force sensor feedback to correct a mechanical arm control instruction, control gain is scheduled through a task stage, and vibration frequency self-adaptive adjustment parameters are analyzed; and performing force control compensation based on the target force, and discretizing the continuous impedance model to obtain a recursive control law to resist external disturbance.

The invention relates to the technical field of industrial automation process control, and discloses a data source adaptation and control binding method, device, equipment and medium, comprising: establishing a variable model to generate a variable directory, constructing a data source adapter to generate a data source mapping table and a read-write interface set, generating a control tree in a visual control designer, establishing a binding relationship between control attributes and variables, loading a variable binding engine, analyzing a binding path, generating an execution plan, registering change monitoring, accessing a read-write interface set of a target data source adapter based on the execution plan to complete variable read-write, and generating an execution record, and responding to a variable change event or a control input event to trigger control value write-back and interface refreshing, and finally collecting a variable directory, a binding relationship, a control tree and an execution record to generate a package configuration file. Through a unified variable model and control binding mechanism, cross-data-source analysis and bidirectional linkage are realized, and the interaction efficiency and the system maintainability are improved.

The invention discloses a metallographic detection method and system based on image recognition, and belongs to the technical field of metallographic detection. The detection method comprises the following steps: image acquisition and preprocessing: acquiring a metal metallographic image by an optical microscope, performing median filtering and denoising, and extracting a grain boundary by adaptive binarization; and field-of-view and scale calibration: selecting a corresponding scale according to the shooting magnification. The multi-parameter automatic measurement comprises grain size analysis, grain size rating, second phase analysis and intelligent report generation, a report is automatically generated based on a preset template and comprises an original image, a binary image, measurement data and a histogram, and report fonts and layout can be adjusted in real time through a visual control. According to the detection method disclosed by the invention, the efficiency, the precision and the reliability of metallographic structure analysis of the metal material are remarkably improved through the full-process design of image acquisition standardization, preprocessing intellectualization, data analysis automation and report generation templating.

The invention relates to the technical field of visual control, in particular to a picture defect test equipment control system and method, and the system comprises a difference tensor construction module, a space-time constraint construction module, a strain response judgment module, a coupling focusing mapping module and a boundary stability evaluation module. According to the method, the multi-dimensional difference incidence relation is constructed by extracting the pixel gray difference value, the brightness gradient and the chrominance phase angle, and fine brightness fluctuation and color shift in a picture can be captured. The superposition of the time-space change rate enables the dynamic performance of image defects to be distinguished, and continuous and transient anomalies can be effectively recognized. And in combination with tensor strain ratio and difference amplitude analysis, an abnormal region can be adaptively recognized, and neglect of a traditional method on a complex scene is avoided. The weighted aggregation of the local energy response improves the stability of the defect boundary, ensures the accurate positioning and judgment consistency of the image defect, and significantly improves the reliability and accuracy of the detection result especially in dynamic change and complex illumination environments.

The invention provides a binocular vision teleoperation robot system, a robot and a teleoperation method and device, and relates to the technical field of computers. The method comprises the following steps: receiving a binocular video stream obtained by carrying out image acquisition on an actual scene by a binocular vision robot, and rendering the binocular video stream to obtain a three-dimensional scene; displaying the three-dimensional scene to an operator of the binocular vision robot to capture motion data of the operator observing the three-dimensional scene; determining a target area from the actual scene according to the action data, and obtaining a visual control instruction based on the target area; the vision control instruction is transmitted to the binocular vision robot for teleoperation; wherein the visual control instruction is used for adjusting imaging parameters of the binocular vision robot for image acquisition of an actual scene, and the visual direction of the binocular vision robot can be rapidly and naturally kept consistent with the attention point of the operator.

The invention provides an underwater welding robot which comprises two clamping mechanisms arranged in a spaced mode. The adjusting mechanisms are used for adjusting the distance between the two adjusting mechanisms; the water retaining mechanism is used for moving the annular water retaining cavity to a welding position so as to reduce the influence of water flow on welding equipment; and a vision controller. According to the underwater welding robot, the two clamping mechanisms are arranged, one clamping mechanism can be clamped on a pipeline needing to be connected and convey the pipeline to the water along with the pipeline, and the other clamping mechanism is clamped on the underwater pipeline after conveying the pipeline to the water along with the pipeline; the adjusting mechanism is arranged, so that the distance between the two clamping mechanisms can be adjusted; a water retaining mechanism is arranged, so that an annular water retaining cavity can be moved to a welding position to reduce the influence of water flow on welding equipment; and the visual controller is arranged, the pipeline connecting position can be determined underwater, the influence of water flow on welding is avoided through the water retaining mechanism, and the welding precision is high, adaptability is good, and practicability is good.

The invention discloses a visual control method for rapidly sorting magnets. The visual control method comprises the following steps that a flexible vibration disc stops vibrating; acquiring an image in the flexible vibration disc; the image identification sequentially comprises the following steps of: converting the image into a gray level image, and identifying a magnet in the image by adopting gray level identification; carrying out binarization and edge pixel extraction on the grayscale image in sequence, and screening out a pixel contour conforming to the contour shape of the magnet; through an image recognition algorithm based on deep learning, carrying out image recognition on the positions of the screened pixel contours so as to recognize good magnets in a preset posture; the position of the good magnet in the preset posture in the manipulator coordinate is determined; the manipulator sequentially arrives at the positions of the good magnets in the preset postures to grab the good magnets; and after the flexible vibration disc starts to vibrate for a period of time, returning to circulate. According to the invention, the working efficiency of identifying and sorting the magnets in the flexible vibration disc by the manipulator is improved.

The invention relates to the technical field of energy consumption control, in particular to an energy consumption prediction and energy-saving control system. According to the technical scheme, the system comprises a data acquisition and communication module, an energy consumption prediction and optimization module, an intelligent control execution module, an energy management and visualization module and a system cooperation mechanism, and data aggregation and transmission are realized through a multi-protocol bus. According to the method, building energy consumption is optimized through dynamic prediction and intelligent control in a cooperative mode, environment changes are responded in real time, operation of multiple devices is accurately coordinated, and the hysteresis and coupling interference limitation of a traditional model are broken through; the hidden danger is actively identified in combination with multi-source data fusion diagnosis, the operation and maintenance cost is reduced, meanwhile, construction management is simplified through standardized integrated design, visual regulation and control are provided, and energy efficiency improvement and a full-period closed loop of intelligent operation and maintenance are achieved.

The invention provides an intelligent cooking supervision optimization system based on digital twinning and a construction method, and solves the problems of insufficient whole-process supervision of a traditional kitchen, lagging of real-time early warning and difficulty in operation standardization. The system constructs a virtual model through high-precision modeling (geometry, physics, behaviors and rules); the whole stir-frying link is uniformly coded by using an industrial internet identification analysis technology, so that data tracking and tracing are realized; a real-time data acquisition, transmission and analysis mechanism is established, and seamless virtual-real mapping between physical equipment and a digital platform is realized; and a visual control interface is constructed to support ordering and remote control. A scheduling rehearsal mechanism based on an improved ant colony algorithm is innovatively proposed, multi-task multi-pot dish distribution scheduling is optimized, trial and error cost is reduced, and meal delivery efficiency and system stability are improved. The system provides support for digital and intelligent transformation of the catering industry, and improves food safety supervision and kitchen operation efficiency.

A system and method to generate a target image from a reference image are provided. The system may receive, via a LDM, a reference image and a text prompt. The system may extract, via a trained vision encoder in the LDM, a vision control signal from an object in the reference image. The vision control signal indicates an identity of the object. The system may extract, via trained text encoders in the LDM, text control signals associated with the text prompt. The system may generate, via cross attention summation of an output of a vision cross attention unit(s) associated with the vision control signal and an output of text cross attention units associated with the text control signals, spatial features indicative of the reference image and the text prompt. The system may output, via a decoder in communication with the LDM, a target image based on the generated spatial features.

The invention provides a virtual power plant flexible resource aggregation control layered connection management method and device, and belongs to the field of virtual power plant control. The method comprises the following steps: dynamically partitioning a virtual power plant, and obtaining resource data of multi-type flexible resources of each partition; determining a peak time period and a valley time period of daily electricity consumption of each partition according to the resource data of each partition, and determining adjustable data of each partition corresponding to different time periods according to an adjustment model; wherein the adjustable data comprises load capacity and energy storage capacity; the adjustment model takes resource scheduling cost minimization as a target and takes flexible resource adjustment capability as a constraint; generating a scheduling instruction for controlling a scheduling device and an energy storage control instruction for controlling an energy storage device according to the adjustable data of each partition; and obtaining scheduling response information fed back by the scheduling equipment and energy storage response information fed back by the energy storage equipment, and generating visual control data according to the scheduling response information and the energy storage response information. According to the invention, the scheduling accuracy of each region can be improved.

The invention relates to the technical field of position control, in particular to a servo closed-loop full-automatic plugging visual control method and system, and the method comprises the following steps: obtaining a static direction and an attitude angle of a plugging interface, constructing a reference configuration, calculating a current attitude deviation and an inclination angle to generate an offset configuration, extracting an offset angle comparison tolerance, and adjusting a servo actuator. According to the method, the attitude judgment precision is improved by collecting the attitude angles of the contact pin and the interface to construct the angle vector, calibrating and generating the reference configuration, the direction deviation index is formed by combining the attitude deviation and the inclination angle, and the direction recognition accuracy is enhanced; an adjusting instruction is generated through the difference value of the deviation angle and the Euler angle, dynamic response and self-adaptive adjustment are achieved, current, position and speed changes in disturbance signals are synchronously collected, disturbance vectors are constructed, the trend is analyzed, the plugging state is judged, stability monitoring and closed-loop adjustment are achieved, and plugging consistency and control precision are improved.

The invention relates to the technical field of visual inspection, and particularly discloses a visual control system and method for plastic bottle sorting based on visual inspection, and the method comprises the following steps: S1, starting a camera when a plastic bottle is detected, and calculating the imaging time; s2, obtaining an exposure value of the imaging picture, presetting an exposure interval, marking abnormal pixel points, calculating the proportion of the abnormal pixel points, and carrying out preliminary screening on the plastic bottles based on the proportion of the abnormal pixel points; s3, marking to-be-sorted bottles, arranging an NIR sensor, emitting near-infrared light when the to-be-sorted bottles pass, acquiring a spectrum reflected by the to-be-sorted bottles, and determining wavelengths of absorption peaks corresponding to the to-be-sorted bottles based on the spectrum; and S4, the materials of the bottles to be sorted are determined based on the wavelengths, the total time and distance coefficient are calculated, and the plastic bottles are blown out through the corresponding air valves to complete sorting. The sorting efficiency is improved, the labor cost is reduced, and meanwhile, the false drop rate can be further reduced through automatic work of a machine.

The invention relates to the technical field of man-machine interaction, in particular to an immersive space-oriented real-time data fusion method and system, and the method comprises the following steps: obtaining the position data of a viewer, extracting the change characteristics of the movement direction, distinguishing the dynamic state of a track, arranging the light source direction, sound pressure parameters and electrocardiogram period data, and matching the nodes with the consistent trend of various types of data. And screening a node group with a high fitting degree, pushing coordinates to a control path, and generating an audio-visual control fusion feedback set. According to the method, dynamic segmentation is carried out according to the movement direction change through the behaviors of the viewer, the track recognition precision is enhanced, space-time pairing of sound pressure parameters and electrocardio cycle data is achieved, the multi-source information synchronization capability is improved, linkage classification among sensing parameters is achieved through difference data trend consistency judgment, and the coordination of interaction response is improved; the node parameters and the position coordinates are synchronously pushed to a control path, a dynamic mapping relation between physiological feedback and audio-visual content is formed, and the response efficiency and coherence of fusion triggering are optimized.

The invention discloses a visual management and control method and system for intelligent production of pre-cooled concrete. The method comprises the following steps: constructing a three-dimensional visual digital twinborn model through a camera, a sensor and a three-dimensional digital twinborn modeling method; decomposing a production structure of the three-dimensional visual digital twinborn model into local process modules; inputting field target production project data into the three-dimensional visual digital twinborn model to carry out real-time visual production simulation; performing first production control optimization on the field target production project through a neural network; performing secondary production management and control optimization on the field target production project through the three-dimensional visual digital twinborn model; a production field real-time scene is output through the three-dimensional visual digital twinborn model, and third-time production management and control optimization is carried out through a cosine similarity algorithm; through deep learning model prediction and monitoring, the neural network is introduced to control production personnel, intelligent management of the whole concrete production process is realized, the concrete quality is improved, and the safety risk is reduced.

The invention discloses a device and a method for restoring a filling body by inducing a microbial nanomaterial based on an acoustic-thermal effect, and relates to the technical field of filling mining. Crack repair is performed on the underground filling stope zone crack filling body through filling body reinforcement, acoustic-thermal synergy, microbial repair, multifunctional monitoring and visual regulation and control, flora diffusion distribution is monitored and regulated and controlled by adopting acoustic signals, and uniform distribution and activity enhancement of flora are realized. Meanwhile, it is guaranteed that the damaged filling body is efficiently repaired through the non-water-based nanometer material containing the microorganisms, and finally long-term stable bearing of the underground filling body is achieved; a distribution blind area is avoided, and the problem of secondary degradation of a filling body caused by a water-based grouting material is avoided.

The invention discloses a mechanical arm hand-eye calibration method based on a standard model and mark points, and belongs to the technical field of visual control, and the method comprises the following steps: based on a URDF standard model, determining a plurality of key points of a mechanical arm and local three-dimensional coordinates of the key points in each connecting rod coordinate system; for each moving image, identifying two-dimensional coordinates containing key points; determining global three-dimensional coordinates of the key points in a base coordinate system; calculating candidate calibration parameters according to the two-dimensional coordinates and the global three-dimensional coordinates of the key points, and fitting the candidate calibration parameters of all the moving images to obtain initial hand-eye calibration parameters; analyzing the actually measured poses of the mark points from the detection image; calculating theoretical poses of the mark points; and generating the hand-eye calibration parameters according to the actually measured poses and the theoretical poses of the mark points and the initial hand-eye calibration parameters. According to the invention, the problem that the hand-eye calibration of the robotic arm is not accurate enough in the prior art can be solved.

The invention discloses a semiconductor die bonder based on intelligent visual control and a control method. The semiconductor die bonder comprises a vacuum adsorption bonding head, a chip transfer platform, a visual detection module, a dispensing module, an angle correction module and a die bonding module. On the basis of high-response high-precision positioning and detection of the visual detection module, angle deviation correction is carried out in the chip grabbing process, high-precision dispensing is achieved, and the die bonding efficiency and accuracy are improved.

The invention relates to the technical field of digital twinning application, in particular to a digital twinning technology-based intelligent manufacturing method for a steel structure bridge, which comprises the following steps of: S1, establishing a steel structure bridge design BIM (Building Information Modeling) model; s2, constructing a digital twin model, and mapping a physical manufacturing process in real time; s3, performing pilot run, and performing digital twinborn model optimization according to a pilot run result; s4, steel structure production supervision and optimization are carried out based on the optimized digital twinborn model; and S5, performing quality prediction and visual control guidance by using a BIM technology and a digital twinborn model. The advanced information technology is combined with the manufacturing process, so that the whole process optimization from design to manufacturing is realized. An accurate bridge design model is constructed by utilizing a BIM technology, detailed geometric information, material attributes, construction processes and the like are included, and accurate basic data are provided for subsequent manufacturing links. Meanwhile, the physical manufacturing process is mapped in real time by means of the digital twinning technology, precise monitoring and adjustment of production are achieved, and therefore it is guaranteed that manufacturing of the steel structure bridge can be completed efficiently with high quality.

The invention provides an uninterruptible power supply automatic switching device test method and system based on visual control, and the method comprises the steps: connecting a voltage collection end of test equipment to a secondary output terminal of a voltage transformer at a power supply side of an automatic switching device; and meanwhile, a secondary current signal of the current transformer is obtained and input to the test equipment, and a current output end is pre-connected to a protection side current input terminal. In the testing process, actual voltage and current are monitored in real time through a graphical user interface, and the testing equipment is controlled to synchronously output analog voltage and current. The method comprises the following steps: presetting an automatic test sequence and parameters, automatically applying test working conditions to the spare power automatic switching device by test equipment according to the parameters after starting, synchronously acquiring test data, and finally calculating performance indexes based on the test data and generating a test report. According to the method, the spare power automatic switching device can be comprehensively, accurately and safely tested under the condition that power supply is not interrupted.

The invention discloses a mine environment data LED display method based on edge calculation, and the method comprises the steps: 1, collecting multi-source environment data, and carrying out the preprocessing and index block coding; step 2, a gating fusion feature tensor is generated through an improved EdgeViT network; 3, executing risk reasoning and evaluation through a risk perception module, and outputting a risk evaluation result; 4, when a communication abnormal state is detected, risk prediction reasoning is executed based on the historical cache; 5, if the collaborative model is deployed, fusing the risk assessment results of the improved EdgeViT model and the collaborative model; sixthly, a visual control instruction is generated through an LED display control module, and risk information is dynamically displayed; and step 7, collecting feedback information, and performing incremental updating on the EdgeViT network and the risk sensing module based on the feedback information. According to the invention, the real-time performance of mine environment monitoring, the reliability of risk early warning and the intelligent response level of LED display are improved.

The invention discloses a mine high and steep slope ecological restoration integrated system based on double-response gel and an ecological restoration method. The system comprises a three-channel rotational flow mixing bin, a pulse atomization spraying device and an AI visual control system, gradient spraying of erosion-resistant, nutrition and water-retention three-level matrixes is achieved, pulse atomization and YOLO-v8 driven crack recognition are matched, and the problem of'jet flow attenuation 'of a slope with the angle being 70 degrees or above in a traditional process is solved. The method comprises the following steps: preparing a pH-temperature double-response sodium alginate-chitosan gel seed bag, spraying according to a sequence of 10-15cm of a water retention layer, 20-40cm of a nutrition layer and 10-20cm of an anti-erosion layer, and performing multispectral inspection by using an unmanned aerial vehicle to realize dynamic maintenance. The matrix system takes stone powder porous particles, activated fly ash and other solid wastes as raw materials, the resource utilization rate of mine solid wastes is effectively improved, and the matrix system is suitable for repairing complex slopes in coastal areas, volcanic rocks, cold areas and the like.

The invention discloses a tire pattern block double-process precision machining device in the technical field of machine vision. The tire pattern block double-process precision machining device comprises a robot. The visual control system comprises an industrial personal computer and visual upper computer software; the binocular camera is mounted on the fixed bracket and is used for realizing high-precision reconstruction of the curved surface of the pattern block and high-precision positioning of a back hole; the light source assembly comprises a customized arc-shaped light source, a customized support and a light source controller, and the light source assembly comprises a customized arc-shaped curved surface light source which is installed at the top of the support and used for lighting and installed on the side face of the support and used for supplementing light; the rotary workbench comprises a circular rotary platform driven by a motor and a pattern block clamping mechanism; the rotary workbench is used for rotating the tire pattern blocks placed at the designated positions; the machining device comprises an electric spindle and a controller of the electric spindle. The operation table comprises a customized electric cabinet and a touch screen mounted on the surface of the electric cabinet; the tool setting device is mounted on the outer side of the rotary table and used for compensating tool changing errors; according to the method, the limitation on the precision machining effect caused by insufficient consistency of binocular vision in depth estimation is overcome, the pattern block chamfering and milling groove machining task with the precision requirement being 0.2 mm or above is finally completed, and meanwhile, the consistency of the machining quality of the tire pattern block back hole is guaranteed.

The invention discloses a visual monitoring system for the repairing effect of a cable buffer layer repairing liquid based on multi-sensor information fusion. The monitoring system comprises a repairing liquid injection control module, a multi-sensor monitoring module, a data fusion analysis module and a visual terminal module. The device has the beneficial effects that a synergistic effect is formed through technical improvement of the four modules, the diffusion range and penetration depth of the repair liquid can be accurately captured in real time, waste and liquid accumulation caused by excessive injection of the repair liquid are avoided, and the blind area problem of a traditional repair technology is solved; meanwhile, a parameter database and a self-adaptive fusion algorithm are universalized, so that the adaptability of the technology to different scenes is greatly improved, and the limitation that the traditional technology is poor in universality is broken through; and through real-time dynamic map display and historical data tracing functions, alarm and injection control are linked to form a closed loop, so that visual control of the repair effect is realized, and the safety and controllability of the repair process are further guaranteed.

The invention belongs to the technical field of power grids, and particularly relates to a method and system for a controller to automatically generate graphical control logic. The invention discloses a method and a system for automatically generating graphical control logic by a controller. The method comprises the following steps of: storing control logic information by utilizing a configuration database; loading a database, reading an algorithm model, an algorithm instance and an algorithm parameter reference table in the database, and automatically generating visual control logic; and generating a corresponding control logic diagram based on label analysis. By automatically generating and managing complex control logic, the working efficiency can be greatly improved. Through graphical representation and layout optimization, readability and maintainability of control logic can be improved. And through label analysis and reference jump, the experience of the user in the use process can be improved. A user can realize the turning among different control logic pages by clicking the reference of one algorithm instance, so that the complicated control logic can be more conveniently understood and managed.

The invention relates to the technical field of food processing, in particular to a digital visual control system and method applied to a food processing production line. The method comprises the following steps: constructing a non-dairy creamer production line simulation model based on food processing production line design data and structure acquisition data; then, disturbance coupling instability characteristics in the machining process are recognized through the simulation model, and the pressure-bearing response dramatic increase trend is further detected so as to predict the abnormal deviation chain type growth situation of the production line; attenuation detection and working condition deviation judgment are carried out on the regulation and control efficiency, so that the quality abnormal deviation condition of the non-dairy creamer product is identified; the abnormal deviation data is traced, the defect position of the production line is positioned, targeted optimization control is executed according to the defect position, and production line optimization control data is generated; by optimizing the food processing production line, the production efficiency and quality of the non-dairy creamer food processing production line are improved.

The utility model relates to the field of pressure exerting machines, in particular to a pressure exerting machine capable of exerting pressure in a balanced mode. The technical problem is that a pressing machine directly applies pressure on a whole plate, and the quality of the whole brick body is affected due to different pressure and stress of the brick body due to the fact that the brick body is independent. According to the technical scheme, the pressure applying machine with the balanced pressure applying function comprises a pressure applying platform, a pressure applying placement plate, a safety protection assembly, a pressure applying protection module, a pressure applying module, a mounting hole and a visual control screen; the pressure applying module is located above the pressure applying platform, pressure applying operation can be carried out, the pressure applying protection module is installed on the periphery of the pressure applying module in a sleeving mode, the pressure applying module can be carried and protected, pressure stable supporting is carried out, and the vibration influence is prevented; the control and feedback pressure change of the pressure applying module can be directly adjusted, and the overall pressure applying operation effect is improved.