607 results about "Control set" patented technology

The invention discloses an air-sea cross-domain network slice configuration and response method based on a CTC8180 chip, and belongs to the technical field of air-sea cross-domain communication and network slicing, and the method comprises the steps: S1, configuring and parallelly accessing NETCONF and CLI paths, and converting a configuration instruction into a CTC8180 chip call instruction; s2, creating a resource pool, a logic port, a binding interface and a VRF strategy based on a FlexE technology; s3, finishing forwarding and mapping configuration of a slicing strategy by combining SRv6 path programming, service level mapping and gport identification slice identification; s4, performance monitoring, data acquisition and fault detection are carried out through three protocols; s5, closed-loop control is formed through resource dynamic adjustment, path switching, strategy linkage and the like; and S6, multi-chip compatibility and stable adaptive deployment are realized through the steps of integrating S1 to S5. The invention provides a specific implementation method for constructing logic network slicing capability on high-performance forwarding hardware for air-sea cross-domain specific requirements, and provides reliable communication guarantee for high-dynamic heterogeneous services.

The invention discloses a thermal spraying coating thickness online optimization control method based on digital twinning, and relates to the technical field of intelligent manufacturing, and the method comprises the steps: synchronously collecting multi-modal online observation data and process control observation data in a thermal spraying process, carrying out the time-space alignment, and generating a multi-modal observation set; performing adaptive optimization of multi-modal uncertainty gating on the candidate control set according to the credible thickness field confidence distribution map to generate a control instruction sequence; and the control instruction sequence acts on the thermal spraying process, response feedback data are continuously collected in the execution period, a new multi-mode observation set is generated according to the response feedback data, and real-time closed-loop optimization control is kept. According to the method, the thickness field with high credibility and the credible thickness field confidence distribution diagram can be generated through forward generation and uncertainty quantification of physical guidance, and depth coupling of multi-modal data and physical rules and accurate mapping of uncertainty are achieved.

Provided is an image forming apparatus including: an image forming unit configured to form an image on a recording material; an exhaust fan configured to exhaust air inside the image forming apparatus; a CPU configured to control rotation of the exhaust fan; and a memory configured to store in advance a first control setting value for rotating the exhaust fan at a first target rotation speed. The CPU rotates the exhaust fan based on the first control setting value, and permits the image forming unit to form an image when a rotation speed of the exhaust fan becomes equal to or faster than a lower limit rotation speed for suppressing a discharge amount of UFPs. When a predetermined time period has elapsed, the CPU performs feedback control for the exhaust fan such that the exhaust fan is rotated faster than the first target rotation speed.

The invention relates to an unmanned aerial vehicle power management and information monitoring system, and the system comprises a power management and information monitoring device which is connected among an unmanned aerial vehicle power supply, an unmanned aerial vehicle flight controller, and an unmanned aerial vehicle load set. Wherein the power management and information monitoring equipment is internally integrated with a unified power management module used for receiving electric energy of an unmanned aerial vehicle power supply and providing one or more transformed stable power supplies for an unmanned aerial vehicle load set; and the information and control concentrator module is used as an information and control relay among the unmanned aerial vehicle flight control, the unmanned aerial vehicle load set and the sensor. The invention aims to help to solve the problems of complex flight control interface and overweight operation burden caused by direct data and control interaction between numerous airborne equipment and a flight controller, and low system integration degree and insufficient reliability caused by decentralized management of a power supply in an existing unmanned aerial vehicle system.

The invention relates to the technical field of mineral processing automation, and discloses a metal dissociation degree regulation-based grinding-flotation collaborative process optimization method which comprises the following steps: acquiring multi-dimensional sensor data in a grinding-flotation production process in real time; establishing a reference prediction model offline based on historical process data; in the online operation stage, the working condition drift state of the current process system is quantified and judged online; when it is judged that significant working condition drifting occurs, a residual compensation model is constructed online; and fusing the prediction result of the reference prediction model and the prediction result of the residual compensation model to generate a final process index prediction value. And based on the final process index predicted value, solving through an optimization algorithm, and generating a cooperative control set value. According to the method, the calculation cost and the data requirement of model maintenance are greatly reduced, and the response speed and the adaptive capacity of the system to the working condition change are remarkably improved, so that the long-term stability and reliability of the collaborative optimization effect are ensured.

The invention relates to the technical field of control and regulation, in particular to a temperature control method, system, equipment and medium for titanium alloy forging, and the method comprises the following steps: constructing a model library for describing thermodynamic behaviors of forgings, and dynamically generating a double-target temperature track; operating a state observer in real time to estimate the internal temperature field of the forge piece on line, and calculating a feedforward control set value based on a model predictive control framework; meanwhile, a feedback correction control quantity is generated through a feedback correction loop, and online correction is carried out on the model; finally, adaptively fusing the feedforward and feedback control quantities to generate and apply a final driving signal; by combining a physical model and a data driving method, the accurate modeling of deformation heat and the estimation precision of the core temperature are improved, metallurgy and cost constraints are balanced, it is ensured that the forge piece is formed in the optimal temperature window, and the problem that in the prior art, it is difficult to control the microstructure of the forge piece to be formed in the optimal temperature window is solved.

The application discloses a control method and device of a grass collecting device and electronic equipment. The control method of the grass collecting device comprises the following steps: obtaining a grass unloading instruction; controlling the grass collecting box to move from a first position to a second position in a first direction according to the grass unloading instruction, wherein the first position is a position where the grass collecting box is in a closed state, and the second position is a position where the grass collecting box reaches a maximum opening angle; and controlling the grass collecting box to swing according to swing parameters, wherein the swing parameters comprise a swing angle, and the swing angle is smaller than the maximum opening angle. By using the control method of the grass collecting device, most of the grass clippings can be unloaded after the grass collecting box is lifted, and different direction inertial forces can be generated in the swinging process of the grass collecting box, so that a small amount of residual grass clippings can be removed through vibration, the situation that the grass is not completely unloaded is avoided, the grass unloading efficiency and effect are improved, and manual unloading operation is saved.

The invention discloses an expressive control dynamic display system and method for a semiconductor design form, and the system comprises an expression configuration module which is used for receiving a logic expression inputted by a user, and prompting available variables in the form in real time; the variable dependency analysis module is used for identifying dynamic variable reference in the logic expression; the change monitoring and scheduling module is used for monitoring a form data change event, acquiring an affected control set when variable value change is detected, and merging and optimizing expression calculation requests; the expression analysis service module is used for performing grammar check and dangerous operation filtering on the logic expression, processing an expression calculation request and returning an analysis result; and the state updating execution module is used for comparing the difference between the analysis result and the current control state according to the analysis result, and judging whether the current control needs to be updated or not according to the difference. According to the method, the problem of performance waste caused by global monitoring data change is effectively solved.

The invention relates to the technical field of crane electrical power supply, in particular to a crane sliding contact line power supply method which comprises the following steps: S1, monitoring the dynamic deformation quantity of a sliding contact line in real time, and obtaining the real-time contact resistance value of a current collector contact surface; s2, calculating the displacement compensation amount of the sliding contact line connector; s3, dynamically generating target contact pressure and transverse offset of the current collector; s4, a current collector executing mechanism is controlled to adjust the contact pressure and the transverse position; s5, if the contact resistance value is reduced to be below a preset threshold value and the deformation quantity fluctuation range is less than or equal to 0.5 mm, determining that the state is a stable power supply state; and S6, predicting a future deformation inflection point of the sliding contact line, and triggering an active compensation instruction before the inflection point. According to the invention, by constructing the slide wire power supply method integrating real-time monitoring, dynamic compensation and trend prediction, accurate adjustment and foresight control of the problem of unstable contact caused by deformation of the slide wire are realized, and the stability of the power supply system is improved.

The embodiment of the invention provides a gallium nitride totem-pole circuit and a control evaluation system of the gallium nitride totem-pole circuit, and the circuit comprises a gallium nitride power device which comprises an integrated semiconductor tube and an integrated drive circuit; the isolation chip is connected between the control module and an integrated driving circuit of the gallium nitride power device and is used for sending the pulse width modulation signal sent by the control module to the integrated driving circuit, and the isolation chip can ensure the electrical safety of weak current and strong current; the gallium nitride power device is used for controlling the on-off state of the integrated semiconductor tube through the integrated driving circuit according to the pulse width modulation signal sent by the isolation chip; under the condition that the integrated semiconductor tube is conducted, the voltage is output to the control module based on the bus voltage through the integrated semiconductor tube, and the driving circuit is integrated on the gallium nitride power device, so that the circuit design can be simplified, overcurrent protection and undervoltage protection are simultaneously carried out, and the safety of the gallium nitride totem pole circuit is improved.

The invention belongs to the technical field of mechanical arm remote controllers, in particular to a mechanical arm six-degree-of-freedom remote controller based on a rocker and an axial finger ring, and provides the following scheme that the mechanical arm six-degree-of-freedom remote controller comprises a remote controller main body, a left control unit and a right control unit, and an STM32F405 main control MCU, a power management module, a communication module, a vibration feedback module and an LED indication module are arranged in the remote controller main body. An axial sliding ring structure is arranged on the basis of a two-dimensional rocker, and six-degree-of-freedom visual control over translation of the tail end of the mechanical arm in the X axis, the Y axis and the Z axis and rotation (pitch, roll and yaw) around the three axes is achieved in combination with a determined sensor, a processor and a communication scheme; an actuator switch button and a speed gear shifting wheel are integrated; the structure is simple and reliable, the ergonomic design is good, the manufacturing cost is controllable, and the response is real-time.

The invention belongs to the technical field of traffic control, and provides a micro-excitation-triggered multi-mode road adhesion coefficient real-time detection method and system, and the method comprises the steps: 1, carrying out the excitation triggering condition judgment; 2, generating a multi-mode excitation signal; 3, collecting dynamic response data; 4, feature fusion and attachment coefficient calculation; and step 5, integrating output and control. By applying high-frequency and low-amplitude micro-torque pulses, dynamic response of the tire is actively excited, and dependence on natural slippage is avoided; tire deformation, driving shaft torque attenuation and suspension vibration frequency spectrums are synchronously collected, and multi-dimensional characteristics of mechanics, acoustics and kinematics are covered; a grouping convolutional neural network and an attention mechanism are adopted to realize efficient feature extraction and fusion, and the bottleneck of traditional road adhesion coefficient detection is broken through.

The invention provides a historical flood inundation dynamic reconstruction method and system based on deep learning, and relates to the technical field of flood simulation, and the method comprises the steps: obtaining a standardized historical flood data set; positioning P terrain cavity deficiency; matching and multiplexing P adaptive filling models in a terrain filling model library according to the P missing feature vectors; carrying out multi-thread parallelization of P terrain cavity deletion; adopting the P corrected terrain structures to carry out pixel-level replacement of P terrain cavity missing to obtain corrected DEM data; and after a two-dimensional hydrodynamic model is constructed based on the corrected DEM data, a hydrodynamic boundary control set is set to drive the two-dimensional hydrodynamic model to execute flood simulation, and a historical flood dynamic evolution process is output. According to the flood simulation method and device, the technical problem that the flood dynamic reconstruction accuracy is affected due to the fact that the flood simulation accuracy is limited due to the fact that topographic data are incomplete and the simulation generalization ability in different areas is insufficient in the prior art is solved, and the flood simulation accuracy is improved.

The invention provides a prediction control method and system for two parallel three-phase converters based on ring current symmetry, and the method comprises the steps: firstly, screening out an optimal vector combination beneficial to ring current suppression, enabling the vector combination to overturn the polarity of the ring current change rate in a single period, and facilitating the optimization of the peak value and the average value of the ring current; on the basis, a brand-new model prediction control set is established; then, on the basis of the provided optimal control set, the circulating current average value is incorporated into a cost function of model prediction control, the provided cost function selects an optimal vector combination in real time by evaluating circulating current average value tracking errors of all combinations in two control periods, suppression of low-frequency circulating current and elimination of direct-current components are achieved, and meanwhile, the low-frequency circulating current and the direct-current components are controlled in real time. Due to the fact that the optimal vector combination achieves loop-to-polarity single-period flipping, the method can further push the loop frequency spectrum up to a high-frequency area. According to the invention, suppression of the low-frequency circulating current is realized, and the direct-current component of the circulating current is completely eliminated.

The invention relates to the technical field of industrial automation control, and discloses a distributed collaborative and intelligent master control system for a candy production line, which comprises a master control unit and a plurality of resource nodes which are connected with each other through an industrial field bus supporting a precise clock synchronization protocol, the general control unit generates and broadcasts a virtual main shaft position signal to define a system time sequence progress; each resource node corresponds to a physical execution unit with different physical response hysteresis characteristics, an electronic cam curve table for defining a mapping relation between a control set value and a virtual spindle position signal is stored, the resource nodes are configured with phase lead compensation logic, and a phase offset is superposed before the curve table is inquired, so that the phase lead compensation is realized. According to the method, phase pre-compensation is introduced in a logic instruction level, so that the problem of cooperative mismatch caused by response inertia difference of heterogeneous physical execution units is solved, and accurate alignment and seamless flexible remodeling of multi-section actions in a time domain are realized.

The invention discloses a constant tension mooring control integrated simulation method and a digital prototype system. The system comprises an integrated simulation model, a three-dimensional visualization system, a QT interaction interface and an AQWA verification model. According to the integrated simulation model, sub-simulation models of ships, constant tension winch control, mooring and environment are constructed and integrated through OpenModelica, a multi-physics field coupled integrated simulation model is established, and integrated simulation of the constant tension mooring control system is achieved; the three-dimensional visualization system builds a three-dimensional virtual model of a ship, a winch, a mooring rope, a wharf and a marine environment based on a Unity 3D virtual engine, and three-dimensional visual dynamic display of a simulation result is realized; the QT interaction interface is combined with visual dynamic presentation, and ship motion, winch state and other parameters and control PID parameters are displayed in real time. According to the invention, joint dynamic analysis and control optimization of the ship mooring system in a complex marine environment are realized.

Provided is a robot system that comprises a robot, a robot control device which executes a robot program and controls the robot, and a force detection unit which detects a force acting on the robot. The robot control device comprises: a determination unit that, on the basis of the robot program, determines an operating mode for force control, using the force detection unit, executed by the robot program; and a force control setting unit that sets operation settings for force control in accordance with the operating mode for the force control determined by the determination unit.

The invention relates to the technical field of intelligent Internet of Things platforms, in particular to a smart park management platform for the Internet of Things and an intelligent algorithm, and the system comprises a terminal state sensing module, a response path combination module, a control path sorting module, a communication window adjustment module and a distribution execution regulation and control module. According to the method, equipment response records with associated numbers are extracted, a control set with a parallel relationship in a scheduling period is constructed, a control chain structure with a sequential triggering relationship is formed through connection in combination with the consistency of signal emission and a target response sequence in an instruction track, and paths are divided according to control sources, a number sequence and target types; and the initial time sequence and the response interval characteristics are matched to carry out channel grouping, so that the coordination relationship among multiple chains is enhanced, the hierarchical structure of path organization is enhanced, and the coherent operation capability of a control process in a multi-device scheduling scene, the instruction passing efficiency and the distributed regulation and control capability of communication execution are improved.

The invention relates to a self-adaptive drilling method and system based on hole wall stability and deep learning, and belongs to the technical field of coal mine underground drilling. Aiming at the technical problems that the drilling efficiency is low and the construction safety risk is high due to the fact that an existing drilling control method is difficult to effectively predict and avoid hole wall instability, the method adopts the core technical scheme that a drilling parameter sequence is collected in real time through an orifice sensor; calculating a hole wall instability risk probability in real time by using a pre-trained lightweight hole wall instability prediction network; further, the scheme evaluation network predicts future multi-target performance based on the current state and the candidate control set; and finally, constructing a scoring function by taking the hole wall stability as a primary constraint, preferentially generating a control instruction and issuing the control instruction to a drilling machine for execution. According to the method, intelligent prediction and active control over the stability of the hole wall are achieved, the safety and reliability of drilling construction are remarkably improved, meanwhile, the drilling efficiency and the hole forming quality are both considered, the system calculation load is low, and on-site deployment and application are easy.

The invention relates to the field of seat repairing equipment, and discloses outdoor stadium injection molding seat renovation repairing equipment which comprises a shell and a gun head used for repairing, a supporting assembly used for containing the gun head is installed in the shell in a sliding mode, and an adjusting assembly corresponding to the shell and used for adjusting the gun head is arranged on the supporting assembly. A control assembly movably attached to the supporting assembly is arranged in the shell. Through cooperation of the shell, the control set, the supporting assembly, the adjusting assembly and the like, the gun head can be firstly driven to horizontally move in the downward state, then the gun head is driven to ascend in the horizontal state, and then the seat cushion face and the backrest face of a seat can be rapidly repaired in sequence. The whole structure is combined in the shell, rapid repairing is achieved through movement and direction adjustment of the gun head, adaptability to the distance between a front seat and a rear seat is higher, and effective repairing can be achieved by corresponding to the outermost seat due to the compact structure.

The invention relates to a semiconductor automation control and management system, and the system is characterized in that an MES is used for receiving the dispatching operation of a user, and transmitting a first carrying request to an MCS based on the dispatching operation; the MCS is used for controlling the crown block to place the target wafer in the integration device after receiving the first carrying request; the machine is used for reporting target information of the wafer in the integrated device to the EAP; the EAP is used for reporting the received target information to the MES, receiving a first instruction sent by the MES after verification of the target information is passed, and controlling the integrated device to send the target wafer into the machine table based on the first instruction; the EAP is also used for sending a second instruction to the MES system after the machine completes the operation of the target wafer; the MES is also used for sending a second carrying request to the MCS based on the second instruction; and the MCS is also used for controlling the crown block to move away the target wafer after operation based on the second carrying request.

The invention provides a post-combustion carbon capture mixed control system and method, the system comprises a post-combustion carbon capture device and a control unit, the post-combustion carbon capture device comprises an absorption tower, a desorption tower, a lean and rich liquid heat exchanger and a reboiler, and the control unit comprises a distributed control module, a centralized control module and a ratio control module; the buffer tank stores and stabilizes the lean solution to enter the absorption tower; the reboiler heat source adjusting valve adjusts the steam supply amount according to the first optimization set value; the distributed control module is used for carrying out local stabilization control on the state of the lean solution in the buffer tank; the centralized control module performs optimization control on the overall performance of the post-combustion carbon capture device according to a pre-established target function to obtain a first optimization set value and a second optimization set value; and the ratio control module adjusts the flow ratio control of the lean solution and the flue gas according to a second optimization set value of the centralized control module, so that the stability of carbon capture control after combustion is improved.

To control a group behavior while reducing the complexity of reward design.SOLUTION: A control system includes: a second learning unit 12 that performs adversarial learning of a generative model having a generator 121 that generates pseudo-policy data similar to true policy data, using a policy of a course that the first UAV2a should take sequentially from its current position obtained by learning by a first learning unit 11 as the true policy data, and a classifier 122 that distinguishes between the pseudo-policy data generated by the generator 121 and the true policy data; a generation unit 14 that generates the pseudo-policy data similar to the true policy data by using a learned generator 121' obtained by the adversarial learning of the second learning unit 12; and a setting unit 15 that sets information including the pseudo-policy data generated by the generation unit 14 to each moving body UAV2 as control information for controlling the courses of multiple UAV2s.SELECTED DRAWING: Figure 1

The invention relates to the technology of power electronics and electric energy quality control, in particular to an energy storage type UPQC and switch state prediction control method based on improved model prediction control, which comprises a series active filter, a parallel active filter, a direct current bus, an energy storage system and a controller, according to the control method, an energy storage power and charge state dynamic equation is introduced into an MPC prediction model, and a multi-objective cost function is designed. And the controller predicts and evaluates the candidate switching vector in each sampling period based on a finite control set model predictive control strategy, and outputs an optimal switching state through value function optimization, thereby realizing collaborative optimization of electric energy quality management and energy storage energy management. According to the method, the dynamic response capability and compensation precision of the UPQC under the working conditions of voltage sag / sag, imbalance, harmonic waves and load fluctuation are remarkably improved, meanwhile, the energy storage utilization efficiency and the system stability are improved, and the method is suitable for a power distribution network with new energy high permeability and large load fluctuation.

The present application relates to the technical field of control adjustment, and particularly relates to a temperature control method, system, device and medium for titanium alloy forging, which constructs a model library describing the thermodynamic behavior of a forging, and dynamically generates a double-target temperature trajectory; a state observer is run in real time to estimate the internal temperature field of the forging online, and a feedforward control set value is calculated based on a model predictive control framework; at the same time, a feedback correction loop is used to generate a feedback correction control amount and correct the model online; finally, the feedforward and feedback control amounts are adaptively fused to generate and apply a final driving signal; by combining a physical model and a data-driven method, the accuracy of the modeling of deformation heat and the estimation of core temperature is improved, the metallurgical and cost constraints are balanced, the forging is ensured to be formed within an optimal temperature window, and the problem that the existing technology is difficult to control the microstructure of the forging within the optimal temperature window is solved.

Systems and methods for analyzing documents are provided herein. A plurality of documents and user input are received via a computing device. The user input includes hard coding of a subset of the plurality of documents, based on an identified subject or category. Instructions stored in memory are executed by a processor to generate an initial control set, analyze the initial control set to determine at least one seed set parameter, automatically code a first portion of the plurality of documents based on the initial control set and the seed set parameter associated with the identified subject or category, analyze the first portion of the plurality of documents by applying an adaptive identification cycle, and retrieve a second portion of the plurality of documents based on a result of the application of the adaptive identification cycle test on the first portion of the plurality of documents.

The invention relates to the technical field of logistics management, in particular to an intelligent supervision control system for operation and maintenance of a cold chain system, which comprises the steps of collecting path environment data to screen an operation and maintenance optimal section, then identifying an energy consumption over-limit risk in the section, and executing main-standby switching on equipment with temperature rise exceeding the standard, meanwhile, power supply sufficiency is judged according to load requirements so as to start a redundant power supply, finally, a priority scheduling object is determined according to resource and task urgency by integrating a power supply state and energy consumption data, and a cold chain operation and maintenance centralized supervision control set is generated. According to the method, path selection is optimized by monitoring path environment fluctuation in real time to filter unstable road sections, energy consumption data and load standards are compared to identify and early warn overload risks, equipment switching and power supply scheduling are automatically executed to avoid operation and maintenance interruption when equipment temperature rise is too high or power supply is insufficient, and finally each link is intelligently scheduled through linkage management and control. The system operates stably and efficiently, the energy use efficiency is improved, and the sudden failure influence is reduced.

Systems and methods for analyzing documents are provided herein. A plurality of documents and user input are received via a computing device. The user input includes hard coding of a subset of the plurality of documents, based on an identified subject or category. Instructions stored in memory are executed by a processor to generate an initial control set, analyze the initial control set to determine at least one seed set parameter, automatically code a first portion of the plurality of documents based on the initial control set and the seed set parameter associated with the identified subject or category, analyze the first portion of the plurality of documents by applying an adaptive identification cycle, and retrieve a second portion of the plurality of documents based on a result of the application of the adaptive identification cycle test on the first portion of the plurality of documents.

The invention discloses a low-altitude wind environment meteorological service monitoring and evaluation method and system based on an unmanned aerial vehicle cluster. The method comprises the following steps: constructing a non-uniform three-dimensional monitoring grid, and controlling an unmanned aerial vehicle cluster to collect basic meteorological data according to a three-dimensional cruise formation; calculating flow field turbulence and a wind shear index in real time based on a sliding time window, triggering locking of an abnormal core area of the flow field when the index exceeds a limit, and controlling a cluster to be switched to a multi-layer spiral envelope formation to perform encryption sampling on the abnormal core area; meanwhile, collaborative obstacle avoidance and data correction based on dynamic wake flow perception are executed, a dynamic wake flow interference cone model is constructed, whether a rear unmanned aerial vehicle is disturbed or not is judged, and accordingly a fine adjustment displacement instruction is generated or a wake flow attenuation model is called to carry out vector denoising compensation on the actually measured wind speed; and finally, constructing a low-altitude dynamic wind field model based on the corrected data. According to the invention, the problem of data distortion caused by low monitoring precision of the low-altitude wind field and aerodynamic interference in the cluster in a complex terrain is solved.

The invention provides a dual-wavelength multi-parameter self-compensation intelligent control system and method based on pollution grading. Comprising a sensing module used for acquiring a dual-wavelength optical measurement signal and a multi-parameter sensing measurement signal of a to-be-treated water body; the self-compensation module is used for generating a compensated pollution characterization characteristic quantity; the uncertainty generation module is used for performing consistency residual calculation on the compensated pollution characterization characteristic quantity and at least one water quality parameter signal and generating an uncertainty parameter; the pollution grading module is used for executing boundary correction on the initial pollution grade under the constraint of the uncertainty parameter and outputting the pollution grade and grading confidence; the decision control module is used for selecting a target control strategy cluster and generating a control set value of the water treatment process based on rolling optimization; and the execution control module is used for issuing the control set value to an execution mechanism of the water treatment process. Pollution grading accuracy can be improved, long-term stability of measurement is enhanced, and control fluctuation and energy consumption are reduced.