22results about How to "Reduce efficiency loss" patented technology

The invention provides a novel energy storage system based on carbon dioxide phase change characteristics and an operation method thereof. The novel energy storage system comprises an air compression process, a propane cold energy storage process, a carbon dioxide expansion power generation process, a heat energy loop and a cold energy loop. The volume utilization rate of the storage tank is remarkably increased, the construction cost is reduced, the system efficiency is greatly improved through cold energy gradient utilization, and the expansion power generation process is efficient and stable.

The present application discloses a kind of purification equipment with anti-blocking structure for sewage treatment, and it relates to the technical field of sewage treatment, comprising purification mechanism, conveying mechanism is installed on one side of the purification mechanism, the end of the conveying mechanism is provided with floating mechanism, the surface of the floating mechanism is installed with outer support mechanism, the inside of the floating mechanism is provided with pulse impurity removal mechanism.The purification equipment with anti-blocking structure for sewage treatment blocks large easily clogged impurities from entering the equipment, protecting the purification equipment from being clogged.The counterweight prevents the water suction cylinder from deviating and reduces the purification efficiency.The float can ensure that the water suction cylinder works within a certain depth.Large impurities and flocculent impurities are intercepted outside the equipment.The sand cone plate prevents sand particles from entering the equipment.The spiral groove and auxiliary rotating part accelerate the water suction speed.When impurities accumulate too much, the accumulated impurities are flushed out of the sieve groove by pulse flow.The sand cone plate vibrates to make sand particles fall off.

The invention relates to a method for improving the dustpan filling rate of a bucket elevator. The method comprises the steps that dustpan filling images and equipment data are obtained in real time through a sensor network; transmitting the data to an edge AI calculation unit, performing millisecond-level reasoning by using a lightweight convolutional neural network model, estimating a filling rate in real time and identifying a material type; based on a reasoning result, dynamically and cooperatively adjusting operation parameters, including changing the geometric volume of the deformable intelligent winnowing pan through a micro driving mechanism, adjusting the speed of the elevator and controlling a feeding auxiliary device, and continuously optimizing decision logic of the system by a digital twin model, according to the model, an optimization strategy set is generated in advance through discrete element simulation and a Bayesian optimization algorithm, and the system has a maintenance function of predicting performance degradation by analyzing current and vibration data and can cooperate with upstream and downstream equipment to realize global energy efficiency optimization; according to the scheme, the problem that the filling rate of a traditional elevator is unstable due to variable materials and fixed bucket types is solved, and self-adaptive precise control is achieved.

This invention discloses an online performance evaluation method and system for combined cycle power units, relating to the field of data evaluation, including the following steps: Step 1: Identify and acquire the operating setting parameters related to combustion of the gas turbine, the operating setting parameters related to power generation of the steam turbine, and the real-time power generation data of the unit within a preset monitoring period; Step 2: Process the real-time power generation data based on preset power generation fluctuation characteristic indicators, extract the power generation fluctuation characteristics within the current monitoring period, compare the power generation fluctuation characteristics with preset normal fluctuation thresholds, and determine whether there are abnormal power generation fluctuation characteristics; continuously collect key operating settings and power generation data of the gas turbine and steam turbine within a preset period, and automatically identify abnormal power generation fluctuations based on feature matching indicators, perform continuous state evaluation, and immediately start the analysis process once abnormal characteristics are detected, greatly shortening the time from the occurrence of an anomaly to its recognition.

The present application belongs to the leek automatic harvesting processing technical field, specifically relates to a modular leaf vegetable full-process automatic harvesting and processing all-in-one machine, including a vehicle frame and wheels installed on both sides of the vehicle frame, the front end of the vehicle frame is provided with a harvesting module, the center part of the vehicle frame is provided with a transmission module, the surface of the vehicle frame is provided with a cleaning module through a frame, and the tail end of the vehicle frame is provided with a micro-bubble cavitation fine cleaning machine box, five core processes of harvesting, conveying, three-stage cleaning, micro-bubble fine cleaning and preservation are integrated on a single self-propelled mobile platform, the barrier of traditional independent operation of each process is broken, the efficiency loss and quality deterioration of the manual transfer link are eliminated, and continuous assembly line operation from "field entry to finished product exit" is realized.

The embodiment of the invention provides a knowledge segmentation retrieval method and device, equipment, a medium and a product, and relates to the field of data processing.The method comprises the steps that a knowledge base is divided into a tree structure according to hierarchies, semantic routing is completed in cooperation with structured slot position information extracted from user query, and the semantic routing efficiency is improved. According to the method, accurate reduction of the retrieval range from the full knowledge base to the files in the target node is realized, traversal retrieval of the content of the full base is not needed any more, the calculation complexity of retrieval is reduced, meanwhile, the retrieval process can accurately match the actual business intention of user query by relying on constraints such as the business field and the classification level of slot position information, and the user experience is improved. According to the method, cross-domain irrelevant retrieval and mistaken recall conditions are reduced, and then mixed retrieval and reordering are only carried out for candidate files of which the range is reduced, so that efficiency loss caused by massive data calculation is reduced, the problem of precision reduction caused by semantic fuzzy matching in full-amount retrieval is avoided, and the retrieval efficiency is improved. The problems of precision degradation and insufficient efficiency caused by data scale increase are solved.

The application belongs to the technical field of traffic signal control, and specifically discloses an intelligent traffic signal lamp emergency linkage control method and system, which comprises the following steps: real-time receiving of task work order data of emergency events, acquisition of event emergency degree, target arrival time limit and planned path; correction of the target arrival time limit based on the event emergency degree, prediction of the number of linkage intersections in combination with the historical average passing speed and the queuing length of the path, and determination of a candidate intersection set; real-time acquisition of the real-time queuing length and signal phase state of the candidate intersection from a road side sensing device, and screening of target intersections that actually require signal linkage; and sending of the target intersections to a signal machine for subsequent control. The application adjusts the dynamic linkage range driven by the emergency degree, and accurately screens the target intersections that actually require signal linkage in combination with the real-time road conditions, thereby effectively reducing the impact of emergency priority control on traffic and further guaranteeing the passing efficiency of emergency vehicles.

The application discloses heavy telescopic soft ground tailing pit filling conveyor, including fixed frame, telescopic frame, power roller, first motor, first speed reducer, V-shaped support, fixing bolt, inclined support roller, first support roller, conveying belt, limit rod, hydraulic push cylinder, counterweight bottom plate, hydraulic station, fixed support, winding roller, second motor, second speed reducer, inclined support, steel wire rope, bearing plate, hydraulic top cylinder and connecting seat, the fixed frame is rotatably connected with power roller, third deflector and fourth deflector, the fixed frame is slidably connected with telescopic frame, the telescopic frame is rotatably connected with first deflector and second deflector, the heavy telescopic soft ground tailing pit filling conveyor is designed, and the pit filling material is centrally conveyed to the pit by V-shaped conveying belt, compared with the conventional mode of vehicle transfer and forklift pushing, the efficiency loss caused by multi-link cooperation is eliminated, and the material accumulation at the edge of the pit is effectively avoided.

This invention discloses a method and apparatus for controlling aluminum output based on electrolysis mechanism and machine learning, relating to the field of aluminum electrolysis technology. Its main objective is to solve the problems of low stability and accuracy in aluminum output control. The method primarily includes acquiring real-time physicochemical parameters of the target electrolytic cell, electrolytic cell task description information, and multi-dimensional key parameter time series; performing prediction processing on the electrolytic cell task description information and the key parameter time series using an aluminum output prediction model to obtain a multi-model fusion prediction value; determining the real-time operating state based on the real-time physicochemical parameters, and calculating the theoretical aluminum output using a mechanism model based on the real-time physicochemical parameters; determining the target aluminum output based on the predicted value, the theoretical aluminum output, and the real-time operating state, so that the control system performs production control based on the target aluminum output. It is mainly used to control the aluminum output during the aluminum electrolysis production process.

The application discloses an address remapping device, method and processor, and the device comprises: a first calculation module which takes the complement of the low L bits of an original logical address to obtain a complement result; a second calculation module which dynamically obtains an offset correction value which keeps the order of an output channel group according to the original logical address; a third calculation module which determines the base address offset across the input channel group; a fourth calculation module which performs summation and one addition operation on the complement result and the offset correction value, and extracts the low L bits to obtain a local logical address; and finally, an address composition module which adds the local logical address and the base address offset to generate a target logical address corresponding to the original logical address. In the memory access path, the application can efficiently realize the 180° rotation of the convolution kernel at the hardware level through additional processing of the address, so as to fundamentally eliminate the efficiency loss caused by the software rotation.

The application provides a comprehensive energy system regulation method and system considering traffic logistics facilities, and belongs to the technical field of comprehensive energy system regulation. The method comprises the following steps: encoding the driving and charging states of an electric truck, setting minimum duration constraints and state mutual exclusion constraints of the driving state and the charging state based on the encoding result to determine the working state of the electric truck, determining the actual power consumption of the electric truck to construct an average field game theory model, converting the theoretical model into a neural network parameterized representation of a federal learning algorithm, determining global model parameters through local training and parameter aggregation, training an electric truck distributed collaborative scheduling model based on federal average field game through a deep average field Actor-Critic algorithm; inputting real-time state observation data into the model to generate optimal scheduling decisions, including optimal route selection and optimal charging power. The application improves the real-time performance, accuracy and efficiency of comprehensive energy system scheduling.

The application belongs to the field of casting molds and provides a gate valve body wax mold forming mold system, which comprises a frame, a mold, a sediment tank, a wax injection pipe and a cooling pipe. The frame forms a mold receiving table plate and a surrounding edge standing on the mold receiving table plate, the surrounding edge extends along the edge of the mold receiving table plate and forms a one-side notch; the mold is placed on the mold receiving table plate and forms a mold cavity for forming a target wax film and a wax injection opening communicated with the mold cavity; the sediment tank is arranged side by side with the frame and forms a top-open containing cavity, the containing cavity is connected to the cavity formed by the surrounding edge and the mold receiving table plate through the notch, the wax injection pipe is connected to the frame and is used for injecting wax into the mold cavity through the wax injection opening, and the cooling pipe is connected to the frame and is used for spraying a cooling medium on the mold.

The invention relates to the technical field of glaze spraying devices, in particular to a rotary automatic glaze spraying device for cast iron kitchenware and capable of preventing glaze sagging. The invention provides a self-adaptive solution which is low in cost and high in reliability to solve the technical problems that when an existing automatic spraying device treats a workpiece with a complex curved surface, the spraying distance and the spraying angle are mismatched due to fixed parameters, and sagging or bottom leakage is likely to be caused. The device comprises a mechanism for conveying and rotating workpieces, and a self-adaptive spraying component consisting of a spray head assembly, a guide assembly and a reference assembly. A rotating sample consistent with a workpiece is used as a reference, a detection rod tightly attached to the sample is used for sensing the contour in real time, and the linear motion of the detection rod is synchronously transmitted to a spray head in a delay-free mode through a closed hydraulic transmission mechanism. Therefore, the multiple spray heads are driven to always automatically keep the optimal constant distance and vertical angle with the surface of the rotating workpiece in the spraying process, and constant-distance shape follow-up spraying is achieved.

The invention discloses an electric drive system rotary transformer zero position self-learning and curing system, which comprises a mechanical alignment module for driving a motor rotor to rotate to a preset mechanical zero position and generating a zero position offset value; after the motor reaches the rated rotating speed, the control module sends a rotary transformer zero-position self-learning enable signal, so that a motor controller executes current closed-loop control based on a zero-position offset value, a d-axis current instruction in a rotor synchronous rotating coordinate system is set to be a negative value and a q-axis current instruction is set to be zero, and an actual torque value is obtained; the zero calibration module obtains an average torque value through the actual torque value, calculates the deviation between the average torque value and a zero reference torque value, and when the deviation is larger than a positive deviation threshold value or smaller than a negative deviation threshold value, adjusts a zero offset value and triggers the control module to recollect the actual torque value; and obtaining a final zero offset value until the deviation is smaller than or equal to the positive deviation threshold value and larger than or equal to the negative deviation threshold value. The torque control precision and the operation reliability of the electric drive system are improved.

This invention relates to the field of metal composite sheet production, specifically to a metal composite sheet production equipment, including a feeding rack, a feeding guide mechanism, a panel forming roller conveyor mechanism, a corrugated forming mechanism, an automatic gluing mechanism, a mobile composite mechanism, a PU curing and laminating mechanism, an automatic circulating heating mechanism, a flying saw automatic shearing mechanism, and a finished product support mechanism. It also relates to a metal composite sheet production process utilizing the above equipment, including steps S1 (feeding), S2 (feeding guide and forming), S3 (automatic gluing), S4 (composite and laminating curing), S5 (length shearing), and S6 (discharging). The metal composite sheet production equipment of this invention can achieve efficient curing of the adhesive within a relatively low temperature range of 30℃-55℃, significantly reducing production energy consumption compared to high-temperature curing methods in the prior art. Simultaneously, residual air bubbles between layers are squeezed out during the lamination process, ensuring full cross-linking and curing of the adhesive layers, achieving high-quality composite under low-temperature conditions.

The utility model relates to the technical field of spraying pumps, in particular to a spraying pump with an air suction prevention structure. The spraying pump with the air suction prevention structure comprises a spraying pump body, water inlet pipes and a water drainage pipe are installed on the spraying pump body, water filter pipes are installed on the water inlet pipes, branch pipes are fixedly installed on the pipe sections, close to threaded openings, of the water filter pipes, and filter discs are installed in the water filter pipes. According to the spray pump with the air suction prevention structure, the filter disc is automatically pressed when the threaded sealing column is screwed through the cooperation of the sliding sleeve, the spring and the sliding rod, only the sealing column needs to be screwed out during disassembly, the spring pushes the filter disc to move outwards, one-button type taking-out is achieved, the maintenance time is greatly shortened, and when a channel is switched or a filter screen is cleaned, the filter disc can be conveniently taken out. The standby channel can immediately receive water flow to prevent the water inlet end from sucking air due to transient exposure, and the water flow is ensured to always fill the pipeline by combining the rear design of the connector of the filter disc and the branch pipe, so that the risk of air suction is thoroughly eliminated.

This invention relates to the field of plastic processing machinery, specifically disclosing an intelligent correction and cutting system and method for PE foam boards. The system includes modules for online acoustic scanning, multimodal data fusion and defect characterization, dynamic path planning and correction, adaptive execution control, and system collaborative management. It detects defects in real time through online ultrasonic scanning, identifies and locates them using a deep learning model, and dynamically plans obstacle avoidance or process adjustment paths based on defect types, while simultaneously controlling the cutting execution mechanism. This achieves adaptive correction during the cutting process, improving cutting quality, tool life, and production efficiency. This invention, by integrating online acoustic scanning and deep learning recognition technologies, achieves for the first time real-time, accurate detection and classification of invisible defects inside PE foam boards during the cutting process.

The invention discloses a multi-cable coupling wave propulsion system based on a rigid wing array and a geometric self-stabilization mechanism. According to the system, a vertical stable reference is obtained through a large-scale water surface frame, a main propulsion wing array is rigidly integrated on the system, and efficient and direct conversion of wave kinetic energy is achieved. A unique four-rope parallelogram mechanism is connected with a low-gravity-center underwater load module to form a geometric self-stabilization system with intrinsic posture recovery capability, so that rolling and pitching are greatly inhibited. The propulsive force of the system is stably transmitted through the quasi-rigid mechanism, and the low-efficiency mode that a traditional wave glider depends on oscillation pulling is eliminated. The core improvement lies in that an active navigational speed controller based on underwater airfoil attack angle adjustment is introduced, and navigational speed closed-loop accurate control is achieved through fine adjustment of system internal force balance. The problems that a traditional wave energy platform is low in efficiency, unstable and uncontrollable in navigational speed are solved, and a self-sustaining wave propulsion solution which is high in stability, long in endurance, intelligent and controllable is provided.

The invention discloses a large-span steel truss corridor construction method. The method comprises the steps that a digital twinborn model of a steel truss corridor is established based on a design drawing; a plurality of steel truss sections are prefabricated in a factory, and displacement sensors and tilt angle sensors are installed at the ends and joints of each steel truss section; a temporary supporting tower is arranged on a construction site, and an electro-hydraulic servo actuator is installed on the top of the temporary supporting tower; a crane is used for hoisting the steel truss section to the temporary supporting tower, and a displacement sensor and a tilt angle sensor start to collect real-time space pose data of the steel truss section; the digital twin model compares and analyzes the received real-time spatial pose data with preset theoretical pose data, calculates a pose deviation value, and generates an adjustment instruction when the deviation value exceeds a preset threshold value; and the central control system drives the corresponding electro-hydraulic servo actuator to perform jacking or retracting operation according to the adjusting instruction so as to correct the pose of the steel truss section. The method can help to improve the construction safety and the overall engineering quality.

The application discloses an LED driver control method and device, relates to the technical field of LED driving, and is used for making the LED driver work in a wide range of load occasions, aiming at the problem that the high efficiency of the LED driver cannot be guaranteed in different load occasions at present, and providing an LED driver control method, wherein a first controller is used for realizing closed-loop control on a Buck circuit, so that the output voltage of the Buck circuit is stabilized at a set value determined according to a load. In this way, the application needs of different load occasions can be met without closed-loop control on an LLC resonant circuit, the LLC resonant circuit can be kept near a resonant frequency through open-loop control, and the high efficiency is guaranteed. In addition, the efficiency loss caused by the mode of adjusting the Buck circuit instead of the LLC resonant circuit is smaller, so that the overall efficiency of the LED driver is effectively improved in the wide range of load scenes.

This invention belongs to the field of tidal power generation technology and relates to a multi-degree-of-freedom adaptive motion compensation device for connecting a floating turbine and a carrier. The device includes a carrier and a turbine, with a retractable hydraulic rod assembly, a turntable, and a slide rail arranged sequentially between them. The retractable hydraulic rod assembly consists of three retractable hydraulic rods arranged in an equilateral triangle. The length of the retractable hydraulic rods is adjustable. One end of each retractable hydraulic rod is connected to the semi-submersible carrier, and the other end is connected to the turntable. The turntable consists of an upper and lower part and can rotate 360 ​​degrees. The slide rail includes a slide path and a slider. The slider is connected to the bottom of the turntable and drives the turntable to slide along the slide rail. This invention improves and optimizes the mechanical connection structure between the turbine and the carrier to eliminate or reduce the swaying motion of the turbine caused by waves, thereby improving the stability and efficiency of the turbine operation, extending the service life of the turbine, and enhancing the applicability of the turbine unit under different sea conditions.

This utility model discloses a high-efficiency membrane treatment device for reactive dyes, including a feed pump, a bag filter, a booster pump, and a membrane module. The feed pump is connected to the bag filter via a pipeline, the bag filter is connected to the booster pump via a pipeline, and the booster pump is connected to the membrane module via a main pipeline. The circulation pump is connected to the guide pipe via a multi-port pipe, and the guide pipe is connected to the main pipeline via a circulation pipe. This utility model uses a circulation system linked with the membrane module. The circulation pump introduces part of the liquid into the guide pipe, where it is swirled and cut by the spiral blades before being tangentially injected into the main pipeline through the circulation pipe to form a spiral flow field. This generates shear force and, combined with the flow rate, flushes the membrane, achieving real-time removal of impurities without shutting down the system. Combined with a differential pressure sensor and a three-way valve for dynamic flow regulation, it can promptly clear blocked channels, reduce membrane wear and contamination, extend membrane life, reduce downtime and membrane replacement costs, and ensure continuous treatment of reactive dyes.