279 results about "Visual control" patented technology

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 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 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 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.

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 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 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 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 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 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 relates to a space-time alignment and semantic association modeling method for cross-platform geographic information data, and belongs to the field of big data and natural language processing. The method comprises the following steps: step 1, carrying out space-time uncertainty modeling and probabilistic representation, and quantifying time and space uncertainty of multi-source data; 2, combining an alignment decision mechanism with adaptive learning to complete multi-evidence intelligent flexible alignment fusion; step 3, carrying out deep semantic analysis and real-time association discovery based on multi-modal semantic understanding and association mining; and 4, dynamically updating and reasoning the knowledge graph, and performing real-time analysis and real-time reasoning. According to the method, for a sudden search task, a new data source can be rapidly integrated, the knowledge graph is enriched, global situation visual control is achieved, multilevel reasoning based on the knowledge graph is achieved, efficient and accurate geographic information data intelligence is supported, and the task response efficiency is improved.

The invention relates to the technical field of equipment control, in particular to a digital visual control method and system for industrial automatic equipment. The method comprises the following steps: acquiring multi-source heterogeneous sensing data, and performing dynamic label analysis and signal decoupling to obtain a multi-source preprocessing data set; performing multi-level semantic association enhancement according to the multi-source preprocessing data set to obtain a dynamic semantic association network; performing eigenvector weighted regression based on the dynamic semantic association network to obtain a multi-modal unified eigenvector; performing equipment multi-dimensional dynamic behavior mapping by using the multi-modal unified feature vector to obtain an industrial process multi-dimensional dynamic model; acquiring real-time multi-source heterogeneous sensing data, and identifying a multi-dimensional abnormal outlier index of the equipment; and carrying out adaptive parameter reconstruction on the multi-dimensional abnormal outlier index of the equipment to obtain an equipment control instruction sequence, and issuing the equipment control instruction sequence to a corresponding equipment control unit. According to the invention, the response speed and the control efficiency of the industrial automatic equipment can be optimized.

The invention discloses a smart agricultural irrigation visual control method and system based on AI voice control, and relates to the technical field of smart agricultural irrigation control, and the method comprises a monitoring system construction stage and a smart irrigation control stage based on AI voice. A digital twinborn model of the farmland to be irrigated is constructed, and the digital twinborn model is provided with a digital twinborn layer; a ground monitoring point, a soil monitoring point, a crop growth monitoring point and an irrigation point are arranged in a farmland to be irrigated, an environment data monitoring device is arranged at the ground monitoring point, a soil monitoring device is arranged at the soil monitoring point, a crop growth state monitoring device is arranged at the crop growth monitoring point, and an irrigation device is arranged at the irrigation point. Through deep fusion of digital twinborn and multi-modal monitoring and AI voice control, precision, convenience and visualization of intelligent agricultural irrigation are realized, multi-modal data acquisition covers full dimensions of farmland environment soil crops, decision deviation caused by single data is avoided, and comprehensive data support is provided for irrigation decision.

The invention relates to the technical field of mesh belt conveyors, in particular to a modular mesh belt conveyor with a visual fault detection function, which comprises a main body frame and a conveying mesh belt, the inner side of the conveying mesh belt is conveyed through three conveying rollers, a plurality of mesh holes are formed in the surface of the conveying mesh belt, the three conveying rollers are distributed in a triangular shape, and the mesh holes are communicated with the main body frame. The upper end of the conveying mesh belt is horizontally arranged, the conveying rollers are rotationally connected with the body frame, the body frame is provided with a visual control camera body on the upper side of the conveying mesh belt, the body frame is provided with a cleaning box, the bevel edge of one side of the conveying mesh belt penetrates through the two sides of the cleaning box, and a slidable body frame is inserted into the inner side of the cleaning box and located on the inner ring side of the conveying mesh belt. And a slidable cleaning mechanism is mounted on the inner side of the main body frame. The cleaning mechanism can be driven by the transmission assembly to be inserted into the meshes corresponding to the conveying mesh belt on the inner side of the cleaning box, impurities blocked in the conveying mesh belt are removed, and the conveying mesh belt can convey materials in a clean state all the time.

The invention provides a signal monitoring method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining business demand information of signal monitoring, determining at least one target visual control based on the business demand information, carrying out the feature extraction of a communication data definition file obtained according to the business demand information, and obtaining a communication data definition file; the method comprises the steps of obtaining communication data definition information, binding at least one target visual control with a corresponding target signal in the communication data definition information in a preset display canvas to obtain at least one target associated control, and monitoring the corresponding target signal according to the at least one target associated control; according to the method and the device, the target visual control and the corresponding target signal are bound on the preset display canvas, so that a mode of compiling an analysis code is completely replaced, the technical threshold is reduced, and the requirement of monitoring the target signal in a personalized manner can be met.

The invention discloses a method and device for generating a first-screen video background based on page elements, and the method comprises the steps: obtaining a multi-mode interface feature of a first screen of a target website, and receiving a natural language instruction inputted by a user through an interaction dialog box; analyzing the visual intention, style preference and dynamic demand in the natural language instruction to generate a structured visual control description; extracting layout, color and semantic entities from the multi-modal interface features through a cross-modal attention model to form and generate condition vectors; and inputting the generated condition vector into a condition decoupling video diffusion model, decoupling the generated condition vector into a control subspace of content, style and motion, and synthesizing a video background sequence according to the control subspace and the structured visual control description so as to synthesize a dynamic background in the first screen of the target website. According to the method, the dynamic video background is generated under the condition of the webpage interface and the guidance of the user language, so that the defect of rough control of a general text video model is avoided.

The present invention relates to the field of image processing and discloses a lightweight container correction method and system based on machine vision, comprising: constructing a detection model to detect corner pieces by enhancing the characteristic response of the corner piece area, calculating the disparity map of the multispectral image, reconstructing the three-dimensional coordinates of the corner pieces and performing posture conversion; online identifying time-varying parameters to construct a state transfer matrix, calculating the predicted vibration offset, projecting the vibration displacement to the world coordinate system, and calculating the innovation sequence variance to dynamically adjust the noise parameter; constructing an inner and outer loop control architecture, wherein the outer loop vision controller generates a target force by calculating the posture error in the world coordinate system; an inner loop force control compensator combines the predicted vibration offset with force sensor feedback, corrects the robot arm control instruction, schedules the control gain through the task stage, and analyzes the vibration frequency to adaptively adjust the parameters; performs force control compensation based on the target force, discretizes the continuous impedance model to obtain a recursive control law to resist external disturbances.

This invention relates to the field of cable monitoring technology, specifically disclosing a cable fire monitoring system and method based on distributed optical fiber sensing. The distributed optical fiber sensing unit is attached to the cable or its surroundings, simultaneously collecting temperature, vibration, and smoke signals and converting them into optical signals. After signal demodulation processing, an intelligent early warning and positioning unit, combined with algorithms, diagnoses the status and accurately locates the cable. A coordinated response unit automatically executes alarm, fire extinguishing, and power-off operations, while a remote monitoring unit enables multi-terminal visual control. This invention overcomes the limitations of single-parameter monitoring, offering high monitoring accuracy and fast response, effectively reducing false alarms and missed alarms. It is adaptable to various complex environments, possesses advantages such as high stability, low maintenance costs, and no need for on-site supervision, and can be widely applied to various cable fire monitoring scenarios to achieve early detection and early handling of potential hazards.

The invention discloses a mechanical arm high-precision movement control method based on double-path observation and online optimization. The movement precision of a mechanical arm is improved. The method comprises the following steps: step 1, acquiring an initial value of each joint angle of the mechanical arm; 2, an initial first conversion matrix of the tail end of the mechanical arm relative to a mechanical arm base is obtained; optimizing the initial first conversion matrix to obtain an optimized first conversion matrix; 3, an initial second conversion matrix of the tail end binocular camera relative to the tail end of the mechanical arm is obtained; optimizing the initial second conversion matrix to obtain an optimized second conversion matrix; 4, the optimized first conversion matrix and the optimized second conversion matrix are applied to a visual control system of the mechanical arm, a first coordinate value obtained by a tail end binocular camera and based on a tail end binocular camera coordinate system is converted into a mechanical arm base coordinate system, and a second coordinate value is obtained; and the tail end of the mechanical arm is controlled to move to the second coordinate value position.

The utility model relates to the field of photoelectric measuring instruments, in particular to a visual control system of a photoelectric measuring instrument, which comprises a base, a measuring table fixed on the front side of the top of the base, a right-angle support plate fixed on the rear side of the top of the base, a photoelectric measuring instrument fixed on the lower surface of the top of the right-angle support plate, and a CCD (charge coupled device) camera fixed in the center of the bottom of the photoelectric measuring instrument. The bottom of the photoelectric measuring instrument is connected with a lifting adjusting assembly through a rotation adjusting assembly, an inclination adjusting assembly is fixed to the lifting adjusting assembly, and an LED illumination lamp is fixed to the inclination adjusting assembly. The beneficial effects of the utility model are that: can realize the function of controlling LED illumination lamp position rotation adjustment, height elevation adjustment and angle inclination adjustment, thereby can carry out better illumination operation on the measured target, is favorable for the accurate measurement operation of the measured target, has better practicability, and is suitable for popularization.

This application provides a visual control method, system, storage medium, and program product for self-service baggage check-in equipment based on real-time baggage monitoring data, relating to the field of intelligent visual control technology. The method includes: acquiring baggage monitoring data in real time, including trigger signals from multiple photoelectric sensors and weight data output from a weighing platform; determining the speed evolution sequence of baggage based on the trigger signals and performing trend analysis; performing time-series coupling analysis of the trend analysis results and weight data to determine whether the baggage has entered a stabilization transition phase; predicting the target time when the baggage reaches a stationary state during the stabilization transition phase and sending a pre-configured command to the visual system in advance; and confirming that the baggage has reached a stationary state by verifying the fluctuation amplitude of the weight data after the target time arrives, and controlling the visual system to perform image acquisition operations. This solves the technical problem of poor visual recognition reliability of visual systems during the dynamic flow of baggage in related technologies.

The application relates to an indoor intelligent fire extinguishing robot and a chassis control method, which comprise a running system, a power supply system, a fire extinguishing system, a visual control system and a central controller; the running system is used for advancing, retreating and differential steering of the fire extinguishing robot; the power supply system is used for supplying power to the running system, the fire extinguishing system and the visual control system; the fire extinguishing system is used for extinguishing a fire source area; the visual control system is used for judging whether an obstacle can be normally passed when the robot runs, and if the obstacle cannot be normally passed, the local path needs to be re-planned to run to the fire disaster area, and the visual control system is used for identifying a fire source so that a fire extinguisher can be accurately sprayed to the fire source part; and the central controller is used for controlling the running system, the power supply system, the fire extinguishing system and the visual control system. The application has the advantages that rear wheel active steering and front wheel steering as an auxiliary are adopted, the differential steering has a small steering radius, and good steering stability is achieved.

The invention discloses a full-automatic color mixer, relates to the technical field of color mixing, and aims to solve the problems that traditional manual color mixing is insufficient in precision, and an industrial color mixer is large in size and high in cost. The visual control module comprises an integrated touch panel and is provided with an RGB scroll bar and an RGB conversion user library; the color conversion calculation module normalizes RGB, then calculates K / C / M / Y values and converts the K / C / M / Y values into percentage; a motor control panel calculates the volume and weight of each pigment; a power driving module four-color water pump is connected with a silica gel hose and a pigment barrel; after a user selects colors, the system automatically completes color conversion, pigment batching and mixing, and the color matching precision is delta Elt; 3; the shell is a PETG 3D printing split type shell, is small in size and is suitable for families and small working rooms.

The present application relates to the technical field of energy consumption control, and particularly relates to an energy consumption prediction and energy saving control system. The technical scheme 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 coordination mechanism. The data acquisition and communication module is used for collecting operation parameters, environmental parameters and equipment states of building mechanical and electrical equipment in real time, and realizing data aggregation and transmission through a multi-protocol bus. The present application realizes the cooperative optimization of building energy consumption through dynamic prediction and intelligent control, responds to environmental changes in real time, and accurately coordinates the operation of multiple devices, thereby breaking through the limitations of traditional model hysteresis and coupled interference. In combination with multi-source data fusion diagnosis, hidden dangers are actively identified, operation and maintenance costs are reduced, standardized integrated design simplifies construction management, intuitive visual control is provided, and a full-cycle closed loop of energy efficiency improvement and intelligent operation and maintenance is realized.