38results about How to "Solve drift" patented technology

The utility model discloses a high-precision servo electric cylinder which comprises an electric cylinder body, a piston rod is arranged at the front end of the electric cylinder body, a guide enhancing assembly is connected to the front end of the piston rod, a transmission assembly is fixedly installed on the outer surface of the rear end of the electric cylinder body, and the guide enhancing assembly comprises a fixing plate, a guide rod, a fixing block and a guide ring. The transmission assembly comprises a worm gear, a rotating shaft, a transmission box, a servo motor, a driving shaft and a worm. According to the high-precision servo electric cylinder, the worm in the transmission assembly is a single-head worm, and the lead angle of the worm is smaller than the equivalent friction angle, so that a worm gear cannot reversely drive the worm, mechanical self-locking is achieved, stability is improved, radial loads can be shared through the arranged guide enhancing assembly and an external guide rail, the lateral force of a ball screw is reduced, and the service life of the ball screw is prolonged. And the bending moment resistance and the vibration resistance are obviously improved (particularly suitable for long-stroke or high-unbalance-load scenes), so that the precision is improved.

The invention relates to the technical field of network security and information security, and particularly discloses an internal threat detection method based on entity behavior analysis, which comprises the following steps of: firstly, converting a multi-source heterogeneous log into a unified event semantic vector, and constructing a double-flow neural network architecture: extracting a long-term portrait vector from a long-period history by utilizing LSTM (Long Short Term Memory), and in the other path, a short-term intention vector is extracted from the neighbor session by utilizing Transform. And the short-term intention is projected to the semantic space of the long-term portrait to carry out consistency residual calculation, so that the hidden slow poison attack is effectively identified. In order to solve the problem of misinformation caused by feature dimension stability difference, a variance estimation and anisotropy measurement mechanism is introduced, portraits are modeled as probability distribution, variance vectors are utilized to carry out reliability weighting on residual errors, and global entropy regularization is combined to dynamically adjust penalty sensitivity, so that the probability distribution of the portraits is determined. Therefore, legal concept drift and malicious behaviors can be accurately distinguished in a complex dynamic scene.

This invention provides an intelligent analysis system for photoelectric detection spectral data based on deep learning, belonging to the fields of photoelectric detection, spectral data analysis, and deep learning application technology. The system includes core units such as a spectral data acquisition unit, a preprocessing unit, a feature extraction unit, and a deep learning analysis unit, as well as auxiliary units for anomaly detection and data storage, forming a closed-loop architecture of acquisition-processing-analysis-output-optimization. It improves data quality through step-by-step preprocessing algorithms, reduces computational load by adaptively selecting key features, deeply mines spectral patterns using a model that integrates convolutional neural networks and attention mechanisms, achieves rapid scenario adaptation through transfer learning, and dynamically optimizes model parameters based on a feedback mechanism. The system solves the problems of low accuracy, poor adaptability, and long training cycles in traditional spectral analysis, achieving accurate, efficient, and intelligent spectral data analysis, and is suitable for various photoelectric detection scenarios such as qualitative and quantitative analysis of substances and environmental monitoring.

This invention relates to the field of grain dryer technology, specifically to a grain dryer discharge mechanism with an anti-breakage structure. The mechanism includes a main body with a discharge chamber at its bottom, connected to a grain receiving hopper at the bottom; a frame unit located within the discharge chamber, comprising a first frame slidably connected to the inner wall of the discharge chamber, and a second frame slidably nested in the middle of the first frame; both the first and second frames have connecting grooves on their outer walls, with the two sets of grooves facing opposite directions; a partition plate fixed inside the discharge chamber above the frame unit, with several discharge ports extending through its top; and a drive unit located within the discharge chamber. This invention enables low-breakage discharge throughout the entire grain dryer process, single-drive multi-mode controllable discharge, and also helps to break up knots and prevent damage. The purely mechanical structure ensures stable operation and is suitable for drying various grains.

The application discloses a kind of gas-liquid two-phase leakage ultrasonic safety detection method and device, it is related to mechanical engineering and nondestructive testing technical field, the method includes: deployment multichannel ultrasonic sensor array;Dynamic noise baseline based on adaptive Gaussian mixture model is constructed;Extract amplitude attenuation rate, center frequency offset and other multidimensional acoustic characteristics and calculate difference vector;Combining dynamic threshold and multi-probe time delay-amplitude information carries out leakage preliminary judgment and positioning;Through convolution-long short-term memory hybrid neural network, identify leakage mode and implement three-level risk early warning according to leakage rate.The system is composed of multichannel ultrasonic sensor array, signal processing module, feature extraction unit, positioning solution module and intelligent early warning engine.The application can realize high sensitivity detection, strong working condition adaptability, accurate positioning and quantification and closed-loop intelligent response, significantly improve the intrinsic safety level of gas-liquid two-phase flow system.

The invention discloses a molecular logic gate based on a DNA tile self-assembly result. The molecular logic gate comprises an input signal, a signal conversion unit and an output signal, wherein the input signal comprises at least two input chains; the signal conversion unit comprises a multi-chain cross-type element formed by complementary pairing of bases, and an output signal is whether the DNA tile is successfully assembled into the nanotube or not. According to the method, a complex strand displacement reaction network is simplified into intuitive structure formation / failure judgment, so that the reliability and readability of molecular logic operation are greatly improved, and a foundation is laid for realizing higher-level molecular calculation system integration.

The application discloses a power magnetic core common mode inductor and a preparation method thereof, and belongs to the technical field of electronic component manufacturing, and comprises a winding execution unit, a magnetic circuit assembly unit and a material flow transfer module, wherein the winding execution unit comprises a main shaft rotating motor and a wire arranging servo module, the magnetic circuit assembly unit comprises a servo press and a glue injection nozzle, and the material flow transfer module is connected with the winding execution unit and the magnetic circuit assembly unit. The scheme physically increases the average distance of interlayer conductors through staggered span actions, changes the distribution direction of electric field vectors, effectively reduces the parasitic capacitance between windings, directly improves the high-frequency characteristics of the common mode inductor, expands the high-frequency impedance bandwidth, and enables the common mode inductor to more effectively inhibit high-frequency noise transmission.

This invention relates to the field of agricultural aviation intelligent equipment and precision spraying technology, and particularly to a method for the formulation and spraying control of chemical adjuvants in agricultural drones, comprising the following steps: Step S1, acquiring flight status parameters of the agricultural drone and three-dimensional topographic data of the crop canopy below, and constructing a real-time aerodynamic flow field model superimposed with the downwash airflow of the agricultural drone rotor and the environmental wind field; Step S2, predicting the sedimentation trajectory of the pesticide droplets based on the real-time aerodynamic flow field model, calculating the surface tension and dynamic viscosity required for the droplets to reach the target canopy based on the sedimentation trajectory, and generating an instantaneous mixing ratio including the main pesticide solution and various adjuvants; In this invention, by constructing a real-time aerodynamic flow field model and directly sending the instantaneous mixing ratio of the main pesticide solution and various adjuvants to a microfluidic mixing device installed at the end of the nozzle for in-situ mixing, the physical space limitations and response lag of traditional agricultural drone pipeline mixing are broken.

The application discloses a preparation method of a red mud composite phase change heat storage material and relates to the technical field of material preparation process optimization. The method constructs a historical database containing temperature, power and product latent heat, calculates basic heating power based on data quality, collects current heating data in real time, calculates an inertia factor representing heat diffusion capacity and a temperature rise factor representing specific heat capacity characteristics, constructs a thermal response feature vector to quantify the composition similarity between the current batch and the historical record, dynamically determines the real-time target temperature for precise control by screening high-similarity high-quality historical records, and updates the database with new data. The application indirectly reflects the composition difference of red mud raw materials through thermal response characteristics, solves the problem of process window drift caused by composition fluctuation, realizes self-adaptive temperature control without complex composition detection, and significantly improves the phase change latent heat and batch consistency of the product.

The application discloses a kind of fusion modal and time sequence attention multi-modal physiological feature joint identification method and system, it is related to biomedical detection and artificial intelligence identification cross technical field, the method includes: control multispectral light source module emits stimulating light signal and probe light signal to the eye of measured object, real-time acquisition original image signal of the eye of measured object, calculate pupil shrinkage peak speed, local blood oxygen change rate and response time difference;Double parallel processing is carried out, and weighted physiological features and weighted time sequence features are respectively generated;Weighted physiological features and the weighted time sequence features are input into multi-modal weighted fusion layer, and after fusion, comprehensive feature vector is obtained, comprehensive feature vector is input into classification prediction layer, the confidence probability that measured object belongs to non-normal physiological response category is calculated, according to the comparison result of confidence probability and preset judging threshold, the identification result of non-normal physiological response category or normal physiological response category is output.

The invention discloses an automatic cleaning and maintenance control method and system for water quality monitoring equipment and a medium, and belongs to the field of water quality monitoring. The method comprises the steps that pure water generated by a built-in pure water production assembly of equipment serves as a measurement anchor point, and whether sensors are normal or not is judged on the basis of comparison results of detection numerical values of the sensors in a pure water environment and a preset pure water threshold value; monitoring operation state parameters of the pure water production assembly, and dynamically adjusting and updating the pure water threshold value corresponding to each sensor; when the value of the sensor deviates from the threshold value, first-stage pure water flushing is executed; if not, second-stage maintenance is started according to the sensor type, the optical sensor performs optical path self-cleaning or backwashing, and the electrochemical sensor performs electrode cleaning; and detecting again after maintenance, and locking the sensor and generating a fault alarm if the sensor is still not recovered. Through dynamic threshold configuration, progressive maintenance and sensor adaptive cleaning, the problems of reference drift and deep pollution are solved, the data credibility is improved, and the operation and maintenance cost is reduced.

This invention provides a method for measuring and locating marine station structures suitable for silty coastal zones. The method includes acquiring multi-source monitoring data for the silty coastal zone; extracting deformation feature points of the marine station structure from the multi-source monitoring data and generating planar displacement maps and elevation displacement maps of the feature points relative to a reference period for each monitoring cycle; calculating spatial offsets based on the planar displacement maps and elevation displacement maps to generate geological deformation distribution maps for each monitoring cycle and mapping them to generate a foundation stability coefficient matrix; and fusing the foundation stability coefficient matrix for each monitoring cycle with historical positioning benchmarks to generate structural safety positioning coordinates. This invention can improve the accuracy and anti-interference capability of structural displacement monitoring in complex geological environments.

This utility model discloses a high-precision touch testing system for curved screens, comprising a worktable. An adaptive curved screen leveling and clamping device is mounted on the top of the worktable. The worktable also includes an X-axis linear drive device, a Y-axis linear drive device, a Z-axis vertical drive mechanism, and a multi-functional stylus switching device. A copper head device that contacts the screen is mounted on the Z-axis vertical drive mechanism. A seven-degree-of-freedom collaborative robotic arm is mounted on one side of the adaptive curved screen leveling and clamping device, and an intelligent end effector is mounted at the end of the seven-degree-of-freedom collaborative robotic arm. Above the worktable are a machine vision positioning device for coarse positioning of the product under test and a visual calibration device for spatial mapping calibration of touch point positions. This utility model achieves automated leveling, curvature modeling, and quantitative testing of edge touch performance for curved screens, effectively solving the problems of poor compatibility and insufficient edge touch accuracy.

This invention discloses an active thermal management system and control method for silicon carbide devices based on aloe vera-inspired stomatal cell microvalves, belonging to the field of active thermal management technology for silicon carbide devices. The active thermal management system includes a hygroscopic phase change working fluid module and a stomatal cell-inspired intelligent control module. The hygroscopic phase change working fluid module includes a heat sink body, a hygroscopic salt solution contained within the heat sink body, and a porous permeable membrane covering the surface of the hygroscopic salt solution for basic passive heat dissipation. The stomatal cell-inspired intelligent control module includes a stomatal cell-inspired microvalves array and a detection and control unit, simulating the diurnal rhythm and stress response mechanism of biological stomata. By adjusting the number of microvalves opening and closing, the water vapor discharge rate is precisely controlled, thereby controlling the heat exchange rate. This invention significantly reduces the average junction temperature of silicon carbide devices and greatly suppresses temperature cycling stress, effectively delaying thermomechanical fatigue failure.

This invention relates to the field of chemical reaction equipment technology, specifically to a formaldehyde oxidation reactor with an easy-to-clean airflow distribution plate. The reactor includes a reactor body, an inlet chamber, an airflow distribution plate, and a cleaning system. The cleaning system includes a gas collecting hood disposed within the inlet chamber, a gas delivery mechanism that drives the gas collecting hood to rotate around the axis of the reactor body while adhering to the bottom surface of the airflow distribution plate, and a high-pressure pulse source located outside the reactor body. By setting a sliding gas collecting hood within the inlet chamber and cooperating with the external high-pressure pulse source, online cleaning is achieved without shutting down the reactor or lowering the temperature. This transforms traditional top mechanical scraping into a bottom-directed jet, eliminating the interference and jamming risks caused by mechanical scrapers moving between high-temperature, dense air caps, and solving the problems of flow deviation and localized overheating caused by pore blockage.

The invention relates to the technical field of cable manufacturing, in particular to an intelligent tension regulation and control method and system in a cable twisting process, and aims to solve the problems of low regulation and control precision, response lag and weak interference resistance in the prior art. The method comprises the following steps: firstly, introducing a multi-wire tension coupling coefficient according to cable specifications, material flexural rigidity and the number of stranded layers, calibrating a tension reference value by combining real-time environment temperature and humidity, and synchronously extracting roughness and correcting friction parameters through optical characteristics of wire surfaces so as to adapt to equipment speed; training historical data by using an LSTM (Long Short Term Memory) time sequence model, predicting the tension trend in the future 2-5 seconds in real time, performing classified regulation and control according to deviation statistical characteristics, and performing micro-step rotation speed regulation by a servo motor and torque compensation execution by a magnetic powder brake; updating the model when the error exceeds the threshold value or the specification is changed, and periodically finely adjusting the reference value by combining the quality data. The system comprises seven functional modules, the tension control precision and the anti-interference capability can be improved, the adaptability is high, and the cable quality and the production efficiency are effectively improved.

The application provides a fuse determination method, device, equipment and medium for an energy storage power station. The application relates to the technical field of lithium battery safety of an energy storage power station. The fuse determination method comprises the following steps: determining, based on calibration parameters of an energy storage battery, an expected discharge duration of the energy storage battery under the condition that cumulative discharge charge of the energy storage battery reaches a preset state of charge variation; discharging the energy storage battery within the expected discharge duration under the condition that the energy storage battery is in multiple states of charge, so as to collect current and voltage output by the energy storage battery and obtain voltage sequences and current sequences of the energy storage battery in the multiple states of charge; predicting, based on the voltage sequences and the current sequences, current when the energy storage battery is subjected to external short circuit, so as to obtain short circuit current of the energy storage battery in the state of charge; and determining the model of a fuse of the energy storage power station according to the structure of the energy storage power station and the short circuit current of the energy storage battery in the multiple states of charge.

The invention belongs to the technical field of photoelectric detectors, and particularly discloses a fixing clamp of a four-quadrant APD assembly automatic test system, which comprises a test seat and a test cover, a tested piece is arranged in a central cavity of the test seat, the test cover is arranged on the test seat, an outer rotating ring and an inner rotating ring are arranged on the test cover, and the outer rotating ring is connected with the inner rotating ring. Rotating handles are arranged on the outer rotating ring and the inner rotating ring, a mounting seat is arranged in the testing cover, an optical fiber patch cord extends into the mounting seat during testing and is fixed on the mounting seat through an FC flange plate, the outer rotating ring pushes the mounting seat to press downwards to tightly press a tested piece when rotating, an eccentric hole is formed in the inner rotating ring, and the eccentric hole is communicated with the FC flange plate. And when the inner rotating ring rotates, the optical fiber patch cord is driven to eccentrically rotate to complete quadrant switching. According to the fixing clamp, a precise mechanical alignment and fixing unit is adopted, the problem of light path drifting caused by temperature circulation is solved through a rigid structure, the stability of the light spot position in the whole testing process is guaranteed, therefore, high-repeatability testing data is obtained, and the accuracy and reliability of a testing system are improved.

The invention discloses an intelligent closestool foot sensing controller and a control method thereof, and belongs to the technical field of intelligent bathroom control. In order to solve the technical problems that the false triggering rate is high due to the fact that an existing split type capacitor foot inductor is prone to being interfered by stray capacitance due to long wire transmission in a humid environment, and a ceramic body needs to be detached for maintenance of a traditional integrated structure, the scheme of combining a split type framework and an active shielding technology is adopted for solving the technical problems. The controller comprises an induction disc assembly attached to the ceramic inner wall, a shielding cable and a main control circuit integrated with an equipotential driving module. Through the equipotential driving technology, the potential of a shielding layer of the shielding cable is forced to follow the potential of an internal signal wire in real time, and parasitic capacitance interference of long-distance transmission is physically eliminated. Meanwhile, the induction disc assembly adopts a structure that a conductive layer is matched with a mechanical riveting terminal, so that detachable connection between an induction end and a circuit end is realized.

This invention relates to a method for preparing an electrode for measuring chemical oxygen demand (COD) in water, and pertains to the field of electrode preparation technology. The method for preparing the electrode for measuring COD in water using this invention involves the preparation of a lead dioxide electrode using titanium or titanium alloys as the conductive substrate material. In this method, a lead dioxide sensitive film is first deposited on the surface of titanium or titanium alloy using an electrochemical method. Subsequently, the exposed titanium or titanium alloy conductive substrate is rapidly oxidized using an electrochemical passivation method to form an electrochemically inert insulating layer. This solves the problems of baseline drift and large background current caused by the slow oxidation of the exposed titanium or titanium alloy conductive substrate during the testing process. The method for preparing the electrode for measuring COD in water using this invention is simple, rapid, highly operable, and highly controllable, and can meet the requirements for batch preparation. The prepared lead dioxide electrode can be used as the working electrode of a COD electrochemical sensor.

This invention relates to the field of fluid control technology, specifically to a flow calibration method for a high-pressure constant flow pump and the high-pressure constant flow pump itself. The control method includes the following steps: receiving a control command and obtaining a target flow rate value and a pressure safety threshold range; calculating the initial theoretical speed of the motor based on the target flow rate value and driving the motor to run; obtaining the real-time speed of the motor based on the flow detection module and the real-time output pressure value of the high-pressure constant flow pump based on the pressure detection module; determining whether the real-time output pressure value exceeds the pressure safety threshold range; if so, controlling the motor to perform a safety protection action; if not, calculating the actual output flow rate value based on the real-time speed; determining the flow ratio coefficient based on the ratio of the actual output flow rate value to the target flow rate value; calculating the target speed of the motor based on the target flow rate value and the flow ratio coefficient; and adjusting the motor to the target speed to achieve more precise flow control.

The invention provides a cross-line text entity relationship labeling method and system based on a second-order Bezier curve, and relates to the technical field of natural language processing, and the method comprises the following steps: in response to a dragging operation initiated by a user on a source entity, determining a first anchor point from a rectangular line based on a cursor click position; in the dragging process, the first anchor point serves as a starting point, the current cursor position obtained in real time serves as a temporary terminal point, a control point is dynamically calculated, and a preview curve is drawn and updated in real time; and in response to the user ending the dragging operation, judging whether the cursor release position hits the target entity: if so, obtaining a rectangular row of the target entity, determining a second anchor point from the rectangular row of the target entity based on the cursor release position, and taking a preview curve drawn based on the first anchor point and the second anchor point as a second-order Bezier curve. The method is used for solving the technical problems that in the prior art, a real-time path updating mechanism is lacked in the dragging process, interaction feedback is delayed, and hit detection precision is insufficient.

This utility model discloses a battery pack and electrical equipment, including: a housing, and a battery module, a battery management system (BMS), a shunt, an electrical connector, and a first data acquisition plate located inside the housing; one end of the shunt is electrically connected to the battery module, and the other end is connected to an external load; the electrical connector includes an independently arranged first signal acquisition line and a power output line, one end of the electrical connector is electrically connected to the battery management system, and the other end extends to one side of the shunt; the first data acquisition plate includes a first connecting part, a second connecting part, and a third connecting part, the first connecting part and the second connecting part are spaced apart and electrically connected to the third connecting part respectively, the first connecting part is electrically connected to the first signal acquisition line, the second connecting part is electrically connected to the power output line, and the third connecting part is electrically connected to the shunt. Placing the shunt outside the BMS allows for flexible adjustment of the positions of both the shunt and the BMS; it facilitates optimization of the overall battery pack structure; and it ensures the accuracy of the shunt current acquisition.

This invention provides a method and system for updating the personality parameters of a digital avatar based on implicit user feedback. The method includes: extracting implicit feedback signals from user-digital avatar interaction logs; performing weighted linear fusion and smoothing on the implicit feedback signals to obtain a smoothed reward value; calculating the policy gradient using a proximal policy optimization algorithm based on the smoothed reward value, and limiting the single-step update amplitude with a pruning objective function to perform gradient ascent, obtaining candidate updated personality parameter vectors; calculating a deviation metric by combining the baseline personality parameter vector, and comparing it with a preset drift threshold; when the deviation metric is greater than the drift threshold, projecting the personality parameter vector to the feasible region boundary and outputting the target personality parameter vector; otherwise, using the candidate updated personality parameter vector as the target personality parameter vector. This invention significantly reduces the feedback acquisition threshold, ensures the numerical stability of the personality parameter update process, and avoids personality drift in reinforcement learning.

The application relates to a semantic Gaussian splatting dynamic RGB-D SLAM method with loop closure optimization and a system thereof, and belongs to the technical field of embodied intelligence, which comprises the following steps: a semantic segmentation model is used to preliminarily extract a mask of dynamic objects and a motion area; based on semantic segmentation and a contour mask, dynamic and uncertain areas are removed, high-confidence static pixels are screened out, depth loss, color loss and semantic loss are jointly optimized, and robust iterative estimation of a current camera pose is realized; a DBoW2 bag-of-words retrieval method is used to retrieve loop candidate frames and suppress false matching; geometric fine registration is carried out based on ICP, and a robust loop detection constraint is generated; global calibration of a full-frame pose is completed based on PGO; a three-dimensional Gaussian primitive is fully reconstructed based on an optimal pose, a dense semantic three-dimensional Gaussian map is constructed, a dynamic point mask is constructed based on a semantic label, a Gaussian splatting element that is dynamic and geometrically invalid is pruned, and a high-precision static scene map is constructed.

The application discloses a mobile Beidou high-precision positioning multi-source data fusion method and system, and relates to the technical field of high-precision navigation and positioning.The application suppresses the problem of satellite observation value quality degradation in a complex environment by means of tight coupling layer explicit modeling and online estimation of multipath error.In the tight coupling deep fusion and solving process, a first factor graph model is constructed, the multipath error is explicitly modeled as a state parameter to be estimated, and the multipath error is included in Beidou original observation factors.In the joint optimization solving process, the first factor graph model performs online real-time estimation and update on the multipath error as an independent degree of freedom, actively distributes and absorbs the part of the observation residual that can be attributed to the multipath interference into the state parameter, and enables the tight coupling solving module to output a more reliable and stronger anti-interference tight coupling optimal pose sequence and provide a stable absolute position even when the satellite observation condition is seriously polluted by the multipath.

The invention provides an augmented reality display method, related equipment and a computer program product, and relates to the technical field of augmented reality display. The method comprises the following steps: acquiring attitude information determined for augmented reality equipment through an inertial measurement unit; acquiring an environment image which is acquired by an image acquisition unit and comprises a preset anchoring object; the preset anchor is fixed at a preset position of the vehicle; determining a relative pose of a preset anchoring object relative to the augmented reality equipment based on the environment image; correcting an accumulated error of the attitude information according to the relative pose so as to obtain corrected attitude information relative to the vehicle coordinate system; wherein the vehicle coordinate system is rigidly and fixedly connected with a vehicle physical structure; and displaying the augmented reality content at a predetermined anchoring position of the vehicle based on the corrected attitude information. According to the embodiment of the invention, the fixed-screen display of the augmented reality content in the vehicle space can be realized.

The utility model discloses a garnet sand beneficiation magnetic separator with dust removal function, which comprises a cylindrical magnetic separator, a vacuum cleaner and a spray mechanism, the cylindrical magnetic separator is provided with an obliquely arranged feed pipe, the interior of the feed pipe is provided with a ventilation sheet, garnet sand flows into the cylindrical magnetic separator along the feed pipe, and the spray mechanism is arranged on the vacuum cleaner. The dust suction machine is installed on the side face of the barrel type magnetic separator, an air outlet of the dust suction machine is connected to the lower surface of the feeding pipe, a suction opening of the dust suction machine is connected to the upper surface of the feeding pipe, and the spraying mechanism is installed on the barrel type magnetic separator; garnet sand is separated by the splitter when flowing in the feeding pipe, the garnet sand is prevented from being accumulated too thick, air exhausted by the dust collector is blown to the garnet sand through the air blowing hose and the air blowing pipe set, dust is blown away upwards, the dust collector extracts the dust in time through the suction hood and the air exhaust hose, the dust of the garnet sand is effectively reduced, and the problem that the dust drifts away is solved.

The utility model belongs to the field of water softening devices, and provides a water quality on-line monitoring full-automatic water softening device which comprises a treatment box, a multi-layer filter material assembly, a water distribution assembly, a rotating mechanism and a cleaning assembly, the top of the treatment box is communicated with a water inlet pipe, the bottom of the treatment box is communicated with a water outlet pipe, and a valve is arranged in the middle of the water outlet pipe; multiple layers of filter material assemblies are vertically arranged in the treatment box in a layered manner, and each filter material assembly comprises a resin layer, a quartz sand layer and an activated carbon layer which are distributed from top to bottom; dynamic and uniform water distribution is achieved through cooperation of the rotary water distribution assembly and the rotary mechanism, the arc-shaped water guide frame is matched with the water guide convex rib structure, water flow can be dispersed into a plurality of evenly-distributed umbrella-shaped water curtains, the utilization rate of filter materials is increased, and the filter efficiency is improved. Meanwhile, accurate adjustment of the angle of the water guide frame is achieved through a first gear rack mechanism driven by an electric push rod, the water distribution angle can be adjusted and optimized according to the water inlet flow, and the water softening treatment efficiency under different working conditions is ensured.

The application provides an intention-driven federated graph enhanced cross-domain recommendation method under privacy protection, comprising the following steps: S1, extracting a set of local intention prototypes representing the behavior patterns of a local user group; S2, each domain client performs disturbance processing on the local intention prototypes based on an adaptive differential privacy mechanism of intention popularity awareness, uploads the intention prototypes after adding noise to a central server, and generates global intention prototypes; S3, each domain client receives the global intention prototypes issued by the central server, performs cross-domain potential edge inference based on the global awareness representation to generate an enhanced graph structure, and optimizes the local recommendation model through double-view contrast learning, and finally outputs the recommendation result for the target user by the optimized local recommendation model. The application effectively overcomes the client drift problem caused by Non-IID data, so that the model has strong global generalization ability and accurately meets the personalized needs of local users.