43results about How to "Eliminate lag" patented technology

The invention relates to the technical field of microfluidics, in particular to a carbon quantum dot hydrothermal synthesis system and method based on microfluidics thermal field equilibrium, which comprises a thermal field sensing module, an equilibrium analysis module, a thermal field coupling module, an equilibrium regulation and control module and a closed loop execution module, the thermal field sensing module is used for collecting array temperature on the surface of the micro-fluidic chip and fluid pressure data in a flow channel, and reconstructing three-dimensional temperature distribution in the micro-channel through a multi-physics field coupling algorithm to obtain a real-time thermal field state matrix. According to the invention, by constructing a multi-physical field coupling algorithm of a thermocouple array-flow resistance model-conjugate heat transfer equation, the three-dimensional temperature distribution of the fluid in the micro-channel can be inverted and reconstructed by using surface temperature and pressure data, so that a control system can pass through a chip matrix, and the temperature of the fluid in the micro-channel can be controlled. The radial temperature gradient and the axial thermal distortion in the fluid are directly sensed, the hysteresis and the error of sensor measurement are eliminated, and a real physical basis is provided for accurate temperature control.

The application relates to a temperature monitoring structure for a charging base, belonging to the technical field of charging equipment, which comprises a terminal, a thermal sensor, a metal sheet, a terminal cover and a circuit board, the thermal sensor is fixed to the circuit board, the terminal is fixed to the terminal cover, a heat conduction piece is arranged at the upper end of the thermal sensor, the metal sheet is installed on the terminal and abuts against the heat conduction piece, a continuous heat transfer path is formed through the abutment of the metal sheet and the heat conduction piece, the physical gap between the thermal sensor and the terminal is filled, the heat generated by the terminal due to current is quickly transferred to the thermal sensor through the metal sheet and the heat conduction piece, the temperature detection hysteresis is eliminated, the response efficiency of the thermal sensor is improved, real-time and accurate monitoring of the terminal temperature is realized, the damage or safety accident hidden danger of the equipment caused by overheating of the terminal is reduced, and the safe operation of the charging base is ensured.

This invention relates to the field of multi-agent cooperative control technology, and in particular to a switching multi-agent cooperative tracking control method based on deep reinforcement learning. The method includes building a two-layer independent architecture for each independent agent, constructing a multi-level grouping architecture for the overall multi-agent cluster, proactively adjusting the internal structure of the multi-level grouping architecture based on prediction results, and using causal analysis technology to trace and determine the root causes of sudden changes and select an execution strategy. This invention adopts a two-layer independent architecture scheme, configuring a leader layer and an executor layer for each agent. Through an asynchronous decision-making mechanism with unidirectional instruction transmission, it achieves complete decoupling between global planning and local execution, ensuring the global optimality of the cooperative tracking task, meeting the real-time control requirements in dynamic environments, eliminating the single-point failure risk of centralized decision-making, and improving the cluster decision-making efficiency and operational stability.

This invention relates to the fields of computer data processing and database technology, specifically to an intelligent search system for business objects based on metadata. The system includes: a context request parsing module: receiving abstract search requests and extracting environment parameters and permission features to generate a dynamic context snapshot; a logical structure construction module: combining snapshot execution rule injection operations to generate a logical abstract syntax tree containing implicit filtering conditions; a multi-dialect compilation and execution module: translating the syntax tree into physical execution statements matching the target storage engine dialect according to physical mapping rules; and an adaptive optimization feedback module: monitoring execution latency data and dynamically correcting the index strategy definition. This invention solves the maintenance bottleneck caused by the tight coupling between business logic and physical storage in heterogeneous data source environments, achieving zero-code modification and hot deployment of business logic.

The application discloses an omnidirectional channel prediction and dynamic coding joint decision method, system and medium, belonging to the multimedia field, and the method is applied to an FTTR gateway and comprises the following steps: determining the communication connection type of the FTTR gateway, a screened terminal and a terminal to be screened according to the IP addresses of the terminal to be screened and the terminal to be screened; determining a first available bandwidth of a video stream flowing from the FTTR gateway to the terminal to be screened and a second available bandwidth of the video stream flowing from the terminal to be screened to the FTTR gateway; determining the smaller value in the first available bandwidth and the second available bandwidth as a maximum code rate B_max available for the screen projection, and notifying the terminal to be screened of the B_max to trigger the terminal to be screened to determine target video coding parameters. The method can provide highly stable bandwidth guarantee for the screen projection service.

This invention provides an adaptive inbound / outbound delivery system for multi-specification wound gas cylinders and its operating method, to solve the problems of low docking accuracy, dispersed structure, inability to reliably adapt to cylindrical wound gas cylinders of different sizes in existing devices, and high cost, low efficiency, and difficulty in handling cylinders of different sizes with robotic arms and tooling pallets. A rocker arm frame is mounted on a pushing drive mechanism; a rocker arm is rotatably mounted on the rocker arm frame; a rocker arm drive mechanism is mounted on the rocker arm frame and connected to the rocker arm; a moving push plate is fixed to the rocker arm; a moving trolley is set on the frame; a support roller assembly is mounted on a lifting mechanism; a drive motor and a rotating roller assembly are mounted on a lifting mechanism, with the drive motor connected to the rotating roller assembly; a barcode scanning and centering component is located above the lifting and rotating barcode scanning and centering station; the centering drive mechanism and the barcode scanner are both mounted on the frame; a clamping and centering push plate is mounted on the centering drive mechanism, and a force feedback module is provided on the clamping and centering push plate.

The invention discloses a distribution transformer voltage prediction method and system based on a multivariable space-time diagram neural network, and the method comprises the steps: obtaining the historical voltage data and meteorological data of a power distribution area, and constructing a multi-dimensional feature matrix; a prior adjacency matrix is constructed according to an electrical coupling relation between transformer areas in a power distribution network, an adaptive adjacency matrix is generated through an adaptive graph convolutional network, and the prior adjacency matrix and the adaptive adjacency matrix are fused to obtain a mixed adjacency matrix; and constructing a multivariable space-time diagram neural network, and predicting to obtain the voltage of the power distribution area in a certain duration. According to the method, the end-to-end deep learning model is constructed, time dynamics and spatial correlation are captured at the same time, and multi-dimensional external factors are fused, so that accurate prediction of the voltage of the power distribution area from the next 24 hours to the next 168 hours is realized.

This invention provides a visualization-based automatic dispatching method and system for operators. The method acquires real-time operating status parameters of power grid equipment in the target dispatch area through a SCADA system, and collects the working status and process of operators through an operation monitoring terminal. The dispatch center performs status diagnosis on the operating status parameters of the power grid equipment based on a preset status diagnosis model, obtaining fault status types and levels, and synchronizes the operating status parameters, status diagnosis results, and operator working status to a GIS visualization platform. The GIS visualization platform displays the operating status parameters of the power grid equipment in the target dispatch area, status diagnosis results, and operator working status in real time. The dispatch center automatically determines the target operators based on the status diagnosis results and operator working status. This invention achieves real-time power grid status diagnosis, dynamic matching of operators, and visualization, improving dispatching efficiency and accuracy.

The utility model discloses a reinforcing bar wire drawing device tension compensation mechanism relates to metal wire drawing technical field. The reinforcing bar wire drawing device tension compensation mechanism, including work table and dynamic regulation compensation mechanism, dynamic regulation compensation mechanism includes device base, mounting panel, adjusting plate, motor, threaded rod and slide rod, and device base fixedly connected at the bottom of work table, and mounting panel fixedly connected at the bottom of device base, and adjusting plate slidingly connected at the top of device base, and motor fixedly connected at the surface of device base, and threaded rod rotationally connected at the surface of device base, and the output of motor penetrates device base and is fixedly connected with threaded rod, and threaded rod rotationally connected at the surface of mounting panel, and slide rod fixedly connected at the opposite surface of device base and mounting panel, realize the closed loop control of tension in the wire drawing process, solve the problem of insufficient precision of manual regulation, improve the reliability of equipment operation and the regulation response speed through the optimization layout of mechanical structure simultaneously.

The utility model discloses a system for automatically adjusting slurry concentration, which comprises a stirring barrel, an on-line concentration detection device mounted on the inner bottom surface of the stirring barrel, an overflow port arranged at the top end of the side wall of the stirring barrel, a filter plate fixedly connected in the overflow port, a filtrate storage box arranged on the outer side of the overflow port, and a filtrate pipeline communicated with the output end of the filtrate storage box, a water outlet of the filtrate pipeline is communicated with an inlet of the water tank, an outlet of the water tank is communicated with an inlet of the make-up pump, and a water make-up pipeline is communicated between an outlet of the make-up pump and an inlet of the input end of the filtrate storage box. The online concentration monitoring device has the advantages that when the slurry concentration deviates from a set value in the slurry conveying process, online concentration monitoring is achieved by arranging the online concentration detection device in the stirring barrel, water drainage or water supplement is achieved through the filtrate storage box on the side portion, real-time adjustment of the water-solid ratio in the stirring barrel is achieved, and the stirring efficiency is improved. The hysteresis of adjusting the water-solid ratio at the source is eliminated, the instability of the slurry concentration is effectively reduced, and the slurry preparation cost is reduced.

The invention relates to the technical field of industrial intelligent control, in particular to an electric discharge machine intelligent regulation and control system which comprises a station vector interlacing analysis module, a station change rate mapping module, an electrode integrity construction module, a wear prediction module and a dynamic regulation and control module. In the environment of an industrial production workshop, an electric spark machining task is obtained in a data collection mode, vectorization modeling is carried out on the electric spark machining task and an equipment station load state, and the load fluctuation trend when multiple tasks are parallel is calculated and analyzed based on the distance, so that resource allocation is optimized, and redundant nodes are reduced; and meanwhile, in combination with section contour dot matrix data obtained in the machining process, the machining integrity is evaluated, a time sequence model of electrode abrasion is constructed, follow-up loss prediction is achieved, a prediction result is linked with a current scheduling strategy, and task priorities or allocation rhythms possibly influencing the machining precision are adjusted in advance.

The application discloses a kind of medical sodium chloride production equipment parameter optimization regulation and control systems and its production equipment, belong to industrial intelligent control technical field, including concentration real-time inversion, metastable zone optimal supersaturation control, nucleation rate real-time calculation, jam risk pre-judgment module and several modules of collaborative control, realize the real-time perception of concentration, impurity, growth state by multimodal in-situ detection, combined with the dynamic adjustment of supersaturation of impurity characteristics, identify nucleation and jam risk in advance and adjust evaporation rate, improve control accuracy and production continuity.The application realizes process state non-interference real-time perception by fusing raman and ultrasonic multimodal in-situ detection, through the multidimensional cooperation of dynamic supersaturation control, nucleation risk prediction, jam pre-disposal, both avoid fine crystal outbreak and guarantee growth efficiency, change after-the-fact shutdown cleaning to prior intervention, significantly improve production continuity and product quality stability, reduce operation and maintenance cost.

The utility model relates to automatic door technical field, concretely for the automatic door drive mechanism of many connecting rod synchronous drive, including door frame, the right side of door frame inner wall is equipped with fixed door, the top of door frame is equipped with the top plate, the front side of top plate is equipped with the guide rail, and the guide rail is movably connected with sliding assembly, and the bottom of sliding assembly is equipped with movable door, the front side of top plate and the position close to top are equipped with motor, and the output shaft of motor is movably connected with sliding assembly through connecting rod component. The automatic door drive mechanism of many connecting rod synchronous drive, through motor drive driving push rod and driven connecting rod's linkage, will convert into translation motion for rotary motion, avoided the tooth surface abrasion or fracture problem that the gear and the rack led to because of long -term meshing, improved the durability of transmission component significantly, reduced the maintenance demand.

The application discloses a modular top sea container preloading module assembly matching management system and method, and relates to the technical field of intelligent assembly and data processing; the application collects measured point cloud data of a module to be assembled and a sea container base through a multi-source sensor, calculates and constructs a dynamic twin model with gravity deformation compensation, and outputs an optimal docking pose matrix that avoids deformation interference; laser tracking and PID closed-loop control are used for dynamic spatial attitude correction during hoisting; when the module is lowered to a blind connection height, the contact pressure of a standardized guide pin is collected in real time, the inclination angle and the lowering rate are dynamically fine-tuned according to a pressure variance mapping rule, and force sense flexible guidance is realized; the closed-loop monitoring of locking torque and the pressure maintaining data of the expansion sealing ring is performed, and automatic iterative remediation is executed when an abnormality occurs; the problems of jamming and sealing damage caused by deformation interference in traditional assembly are solved, and high-precision, flexible, leak-proof and whole-process traceable intelligent assembly is realized.

The application belongs to the field of concrete construction, and mainly relates to a large-volume concrete high-formwork deformation monitoring device and a monitoring method, characterized by comprising: a high-formwork support formed by the cross connection of multiple horizontal rods, vertical rods and vertical rods; a multi-angle detection assembly, which is respectively provided with a height laser range finder and a circumferential laser range finder in the horizontal and vertical directions; a reflection element, which is installed around the multi-angle detection assembly and used for detecting horizontal displacement and vertical displacement; and a data processing terminal, which receives electrical signals from the multi-angle detection assembly, processes the signals and gives an alarm. The application detects the deformation of the support in three-dimensional directions, solves the problem of one-sided monitoring data, adopts a modular structure, is quickly disassembled and assembled, is suitable for high-formwork systems with different pipe diameters and different heights, has strong universality, does not need manual intervention, can continuously and real-timely monitor, automatically processes data and gives an early warning, and eliminates the blind area and hysteresis of manual monitoring.

The invention relates to the field of PCB copper foil and lithium battery copper foil production, and discloses a current prediction-based electrolytic copper foil copper concentration control method and system, and the method comprises the steps: collecting the current of a crude foil machine in real time, calculating the theoretical consumption of copper ions according to the Faraday law, and achieving the feed-forward copper supplement; and meanwhile, PID feedback fine tuning is carried out in combination with online concentration detection, and online correction is carried out on the feed-forward model by utilizing the deviation between an accumulation theory and an actual copper supplementing amount. During startup and shutdown or roll replacement, a copper supplementing strategy is preset in advance, and concentration disturbance to the first roll and the tail roll of a local roll and concentration disturbance to other machine columns in the same group are effectively restrained. The copper ion concentration fluctuation is controlled within + / -0.5%, and the response time is 1t; therefore, the quality consistency of the whole group of copper foils is obviously improved. The control system is based on a DCS platform with analog quantity / switching value I / O and multi-protocol communication capability, current data can be from a rectifier, a crude foil engine or a database, integration is easy, and the control system has remarkable technical and economic benefits.

The present application relates to the field of biological sample collection device, in particular to a biological sample collection information tracing device, comprising: a tube body for storing biological samples; a sealing tube cover detachably installed at the opening of the tube body; a trigger component arranged between the tube body and the sealing tube cover; a clock chip cooperating with the trigger component to determine the opening time of the sealing tube cover; a memory for storing the opening time detected by the trigger component; a near field communication module for transmitting the opening time stored in the memory to a reading device; a microcontroller for processing the state of the trigger component to determine whether the sealing tube cover is opened and transmitting the information of the opening time to the memory; a circuit board for connecting the trigger component, the clock chip, the memory, the near field communication module and the microcontroller. The present application realizes the digitization and objective tracing state of the biological sample as soon as it is collected from the outside.

The application relates to a magnetic force grinding device and a magnetic force grinding and polishing method for a titanium alloy implant, and belongs to the technical field of grinding and polishing. The device comprises a grinding bin and a bin cover, is arranged above a main machine base, is internally provided with grinding medium, is internally provided with an elastic support seat on the inner wall of the bottom end of the grinding bin, is screw-connected to the inner wall of the upper end of the grinding bin, is provided with an intermittent exhaust valve on the bin cover, senses the gas pressure in the grinding bin, intermittently releases pressure, forms movable air pressure, is provided with a dripping clamp cylinder in the middle of the bin cover, is vertically arranged on the bin cover, is coaxial with the elastic support seat, is internally provided with an oxidation assisting liquid, is provided with a liquid leakage opening at the lower end of the dripping clamp cylinder, is provided with an elastic movable part at the liquid leakage opening, and the oxidation assisting liquid is added by dripping intermittently to form a soft oxidation layer on the surface of the titanium alloy. The soft oxidation layer is removed by cooperating with a magnetic needle driven by a magnet array, and the grinding efficiency and surface smoothness are improved.

The embodiment of the invention provides an address mapping table updating method, electronic equipment, a storage medium and a program product. The network address change information is actively reported by the terminal equipment or the server-side equipment, and a passive mode of periodic scanning of gateway equipment in the prior art is replaced, so that the updating efficiency and the real-time performance of the address mapping table are remarkably improved; meanwhile, whether the address change information conforms to the network access strategy or not is checked through the preset checking model, updating operation is executed only when the change information passes verification and conforms to the access strategy, illegal and non-compliant address change information can be effectively filtered, network security risks and communication anomalies caused by invalid or illegal updating are avoided, and the user experience is improved. The security and the stability of network operation are improved; in addition, the gateway does not need to execute full-amount periodic scanning, computing resources and network bandwidth occupation of gateway equipment are reduced, and the overall service performance of the gateway is optimized.

The application discloses a numerical control machine tool thermal error online compensation control method and system, and belongs to the technical field of numerical control machine tool precision machining. The method comprises the following steps: collecting temperature data and operation parameters of key positions of a machine tool, and generating a temperature characteristic vector; a temperature field adjacency matrix is constructed to predict future temperature field distribution; a graph neural network is used to establish a nonlinear mapping between the temperature field and thermal deformation, and a thermal displacement prediction value is output; a compensation instruction is superimposed on an original trajectory for execution; and model parameters are updated online according to calibration data. The application adopts graph convolution operation to capture the spatial correlation characteristics of the temperature field, so that the thermal error prediction accuracy is better than 2 mu m, and the compensation rate reaches more than 85%.

The utility model relates to the technical field of water flow sensors, and discloses a self-powered flow sensor which comprises a desanding mechanism, the desanding mechanism comprises a clamping tooth plate, the top end of the clamping tooth plate is connected with a water wheel bin in a sliding mode, and a reset spring is fixedly connected between the clamping tooth plate and the bottom end of the water wheel bin. The clamping tooth end of the clamping tooth plate is connected with a sliding groove gear in a meshed mode, four sliding columns are slidably connected into a sliding groove in the sliding groove gear, the top ends of the sliding columns are fixedly connected with sliding plates, the four sliding plates are slidably connected into sliding grooves in the fixing groove, and the top ends of the sliding plates are fixedly connected with a fixing shaft. After the situation that the magnetic water wheel is stuck occurs in the water flow sensor, the diameter of the fixing shaft is temporarily reduced through the desanding mechanism, so that the gap between the magnetic water wheel and the fixing shaft is enlarged, then fine sand flows away to eliminate the stuck problem, and meanwhile the problem can be rapidly solved without stopping water flow or disassembling the sensor.

The present application discloses a wind-resistance warning method, device, equipment and storage medium for a flexible photovoltaic support, and relates to the technical field of electrical digital data processing. The method simulates physical mechanical processes and uses Coulomb's law to simulate the tensile stress of the upper and lower chords from the wind. At the same time, the tensile stress under different wind forces can be further simulated by adjusting the charge amount of charged particles. The tensile stress of the upper and lower chords under future wind forces is then predicted through the probability distribution of future wind speeds. Then, corresponding warning signals are given according to the tensile stress under future wind forces, thereby eliminating the lag caused by manual inspections.

The invention provides a rice noodle extruding machine heating control method and system, and the method comprises the steps: taking the output power of a heater of each section of heating charging barrel, the flow of a cooling sleeve, and the rotating speed of a screw as the input control quantity of a prediction model, and taking the temperature measured value of each section of heating charging barrel collected by a temperature sensor as the state quantity; a prediction model is established, and the prediction model outputs a temperature prediction value of each section of the heating charging barrel; according to the given target temperature value of each section of the heating charging barrel and the temperature measured value of each section of the heating charging barrel, constructing a reference track; establishing a rolling optimization objective function according to the prediction model and the reference trajectory, and solving the objective function to obtain an optimal control quantity; and the optimal control quantity is transmitted to a PID controller, and the PID controller feeds back and adjusts the output power of the heater of each section of heating charging barrel, the flow of the cooling sleeve and the rotating speed of the screw rod according to the optimal control quantity. According to the method, the temperature control precision and stability of the rice noodle extruding machine are improved.

The utility model is applicable to the field of fire detection, and provides an optical fiber temperature measuring device applied to electrical fire monitoring, which comprises an n-shaped outer shell, a front baffle plate and a rear baffle plate are arranged at the front end and the rear end of the real-time outer shell, an optical fiber temperature detector and a power supply controller are arranged in the outer shell, and a display screen is arranged at the top of the outer shell; a plurality of strip-shaped air inlet grids are arranged on the front baffle, pore plates are installed on the air inlet grids, an air outlet grid is arranged on the rear baffle, and a cooling fan corresponding to the air outlet grid is fixedly connected to the side, close to the front baffle, of the rear baffle. Therefore, according to the device, accurate and real-time temperature monitoring can be carried out on contact points and connection points of power distribution equipment and electric equipment through the fiber bragg grating sensor, and insufficient accuracy and sensitivity of fire detection are avoided. Meanwhile, the device is more convenient to install and use, and large-scale application is facilitated.

The application relates to the technical field of artificial intelligence, and provides an offline vector library building method and system, an electronic device and a storage medium, which comprise the following steps: obtaining a to-be-processed directory from an embedding queue, performing vectorization processing on each to-be-processed data under the to-be-processed directory, generating vector data and putting the vector data into a storage queue; obtaining the vector data from the storage queue and batch writing the vector data into a vector database; collecting the current queue depth of each stage queue according to a preset period, and dynamically adjusting target parameters based on the deviation of the current queue depth and a preset target interval, so that the current queue depth is maintained in the preset target interval, and the target parameters comprise the parallelism and / or batch size of the processing stage corresponding to each stage queue. Through the adaptive control strategy of dynamically adjusting the parallelism and batch size based on the queue depth deviation, load balancing and steady-state operation of the whole process of offline vector library building are realized, and the application has the advantages of high data processing throughput, strong system pressure resistance and high resource utilization rate.

This invention discloses an automated cutting system based on aluminum alloy production, belonging to the field of aluminum alloy profile processing technology. The system includes a mechanical execution layer, a sensing and detection layer, and an intelligent control layer. Addressing the problems of lag in feed control and lack of mechanical basis for attitude selection in cutting complex cross-section profiles, this invention uses a multi-axis attitude optimization control unit to calculate the relationship between the profile cross-section moment of inertia and cutting force, selecting the optimal attitude with minimal deformation. A collaborative controller drives a cross-section topology analysis unit to generate a cross-section feature sequence based on the optimal attitude. A feed rate adaptive control unit establishes a forward-looking window based on this sequence, predictively adjusting the rate before the saw blade contacts the wall surface or cavity features. This invention eliminates response lag through feedforward control and reduces profile deformation through mechanical optimization, significantly improving the cutting quality and accuracy of aluminum profiles.

The invention provides a material flow stability control system and method for a continuous ship unloader, and the method comprises the following steps: S1, recognizing the contour of a material in each chain bucket which is continuously lifted, and obtaining material morphology point cloud data; s2, de-noising the material morphology point cloud data by adopting a statistical filtering method; s3, performing plane fitting on the de-noised material morphology point cloud data by adopting a least square method to obtain a plane equation of the material surface; s4, performing curved surface integral on the plane equation of the material surface and a pre-obtained chain bucket bottom surface equation to obtain a material volume; s5, obtaining the material load in the chain bucket according to the material volume and the specific gravity, and calculating the instantaneous material flow value of the system according to the parameters such as the current chain bucket lifting rate; and S6, comparing the instantaneous material flow with a preset material flow, and timely adjusting a material taking process strategy. According to the method, the material taking strategy is dynamically adjusted, and it is ensured that the ship unloader efficiently carries out ship unloading operation under stable material flow.

The present invention discloses a safety risk suppression control method for equipment speed fluctuation during low voltage ride-through period, which relates to the technical field of wind turbine stability research, and includes the following steps: S1, temporarily locking the integral link of pitch angle control during the low voltage ride-through fault of the wind turbine, and establishing the system state space equation of the wind turbine rotor after the integral link is locked; S2, modifying the system state space equation using the system state feedback matrix. The present invention starts from two aspects respectively. One is to lock the integral link of pitch angle control during the fault to eliminate the hysteresis of pitch angle control, and solve the problem of excessive speed drop caused by the continuous action of pitch angle when the speed returns to the rated value. The second is to introduce the system state feedback matrix during the fault to obtain the desired system response performance, improve the overall damping ratio of the system, and at the same time enhance the low-frequency and high-frequency fluctuation suppression capability of the speed, and improve the speed response characteristics of the wind turbine.

The invention discloses a rapid ramp parking method suitable for an electric fork-lift truck, which comprises the following steps: firstly, carrying out quality evaluation on a motor rotating speed signal acquired by an encoder, dynamically selecting a filtering strategy, outputting a preprocessed actual speed, extracting time domain, frequency domain and model correlation characteristics based on the speed, a motor torque direction and a target speed, and carrying out rapid ramp parking on the electric fork-lift truck. Calculating confidence coefficients of different road surface working conditions through a fuzzy inference system, further calculating a first-stage given speed according to a target speed and a given speed of a previous period, calculating an auxiliary function given speed by combining consistency judgment of a torque direction and a speed direction and the confidence coefficients of the working conditions, and generating a final given speed by utilizing a self-adaptive gain coefficient; and finally, the final given speed and the actual speed are subjected to closed-loop adjustment to drive a motor to execute parking, and meanwhile, graded safety intervention is implemented based on the working condition confidence coefficient and the real-time vehicle speed, so that deceleration delay in the ramp parking process is effectively eliminated, and the rapidity and stability of control are improved.

The application discloses an open-pit to underground mine full-tailings consolidation backfill system and method, and relates to the field of deep mineral resource development and industrial automation control. The system is constructed based on a distributed control architecture, and integrates a full-process intelligent sensing subsystem, a multi-modal adaptive decision subsystem and a high-precision execution feedback subsystem. The method adopts a four-dimensional dynamic control strategy of "sensing-prediction-regulation-correction", and realizes real-time collection of slurry rheological and equipment state parameters through a multi-source heterogeneous sensor. A feedforward compensation combined with a feedback correction algorithm is used to realize time-space synchronous precise proportioning of cementing materials. Adaptive variable-frequency stirring from high-shear dispersion to laminar homogenization is executed based on non-Newtonian fluid characteristics. And multi-stage dynamic adjustment of vacuum dewatering is realized through a gas-liquid-solid three-phase coupling model. The application effectively solves the problems of parameter curing, large quality fluctuation and high energy consumption of the traditional backfill process, and significantly improves the strength consistency of the backfill body and the operation economy of the system.