29results about How to "Solve needs" patented technology

The application relates to the technical field of cow tendon line, in particular to a connecting rod type punching and conveying mechanism. The connecting rod type punching and conveying mechanism comprises a base, a punching assembly and a conveying assembly are arranged on the base, the punching assembly comprises a driving motor, a connecting rod and a sliding block, the driving motor is installed on the base, one end of the connecting rod is rotationally borne at the end of an output shaft of the driving motor, the other end of the connecting rod is hingedly matched with the sliding block, a bearing frame is fixed on the upper surface of the base, the sliding block is vertically slidably arranged on the bearing frame, a punching knife is fixed on the lower surface of the sliding block, the conveying assembly is arranged on the upper surface of the base, the conveying assembly is used for conveying the cow tendon line, and the driving assembly drives the conveying assembly to move; the application can correspondingly reduce the production cost of the cow tendon line.

The invention discloses a cooperative control strategy for ice slurry energy storage to assist peak regulation and frequency modulation of a power grid, and belongs to the field of power system regulation and control, energy storage technology and intelligent power grids. The method comprises the following steps: setting corresponding agents for the ice slurry energy storage system and the power grid regulation and control module; initial parameters are set, and the power grid load and the user cold demand are predicted; taking three conditions of minimizing the total energy consumption of the system, minimizing the peak deviation and meeting the cold demand of a user as optimization objectives, and combining energy conservation, cold storage constraint and cold demand constraint to construct an optimization model; asynchronous iteration is adopted to realize cooperative control of parameter optimization, peak regulation, peak deviation suppression and cold storage state self-recovery of the intelligent agent; and through convergence judgment and real-time iteration, continuous peak regulation of the power grid, peak load optimization and user cold demand guarantee are realized. The method provided by the invention can solve the problems that the peak-valley load difference of the power grid is enlarged, the peak load pressure is prominent, and the ice slurry energy storage, power grid regulation and control and user cold demand collaboration is insufficient under the high permeability of new energy.

This utility model discloses a miniature ball bearing for a cooling fan, comprising an outer ring, an inner ring, a cage, a dust cover, and rolling elements movably disposed between the outer and inner rings. Both the inner and outer peripheral walls of the outer ring and the inner ring have circumferentially formed grooves for the rolling elements to move. Both ends of the inner peripheral wall of the outer ring have circumferentially formed stepped grooves for installing the dust cover. The connections between the grooves of the inner ring and the outer peripheral wall of the inner ring, and between the grooves of the outer ring and the inner peripheral wall of the outer ring, have chamfered edges. A retaining spring is provided in the stepped groove for an interference fit with the stepped groove. The inner wall of the retaining spring abuts against the outer wall of the dust cover, while the outer peripheral wall of the dust cover has a clearance fit with the inner peripheral wall of the stepped groove. The curvature coefficient of the grooves of the outer ring is greater than that of the grooves of the inner ring. This utility model solves the problems of traditional miniature ball bearings, such as increased bearing ellipticity due to dust cover installation leading to out-of-tolerance bearing ellipticity, and assembly damage during rolling element installation leading to unqualified rolling element vibration during bearing operation.

The application discloses a data processing device for LDPC code layered decoding, which comprises a configurable computing unit capable of switching between row update mode and column update mode, a storage system physically divided into multiple independent storage banks, an address generation unit and a control unit. The address generation unit is configured to map access addresses of parallel data requests to different independent storage banks, and the control unit is configured to schedule column update tasks to be performed first and then closely related row update tasks in a decoding layer, wherein the row update tasks directly read the latest variable node messages generated by the column update tasks. The application guarantees the immediate reuse requirement of the layered decoding algorithm for the latest messages by constructing a high-bandwidth parallel data access path, eliminates the memory access bottleneck, and thus can fully exert the performance advantage of the layered decoding algorithm to realize high-throughput decoding processing.

The invention belongs to the technical field of advertisement pushing, and particularly relates to an advertisement pushing method based on e-commerce big data feedback, which can extract a user intention snapshot in real time by constructing a multi-dimensional spatiotemporal behavior matrix and combining a sliding time window dynamic slicing technology. And intention transition events such as interest point transfer and decision intensity change are accurately identified by virtue of the trained intention transition detection model, so that user demand fluctuation can be followed up in real time, advertisement pushing is highly matched with the real-time intention of the user, the problem that pushing is disjointed with the real-time demand is effectively solved, and the accuracy of advertisement pushing is remarkably improved.

The utility model relates to the technical field of energy storage devices, and discloses a heating and cooling multi-energy complementary energy storage integrated device which comprises a base, a heat storage box fixedly connected to the top of the base, a purifier fixedly connected to the top of the base, a heat exchanger fixedly connected to the top of the base and a refrigeration tank fixedly connected to the top of the base. A water supply tank is fixedly connected to the top of the base, a conveying pipe is arranged among the heat storage tank, the purifier, the heat exchanger, the refrigeration tank and the water supply tank, a heating assembly is arranged in the heat storage tank, and an adjusting assembly is arranged in the water supply tank; the heating assembly comprises a connecting pipe and a heating rod. According to the utility model, the heating rod is driven to rotate by screwing the connecting seat, so that the clamping block II and the limiting block I on the outer wall of the connecting seat are separated from the clamping block I and the limiting block II on the outer wall of the connecting pipe, the effect of quickly and conveniently disassembling and assembling the heating element is realized, and the maintenance efficiency of the device is improved.

This utility model discloses a USB aftermarket instrument cluster operating system, including a processor. The processor's display data output terminal is connected to the OLED screen's display data input terminal, and the processor's main data terminal is connected to the USB hub's main data terminal. The USB hub's transmission terminal is connected to the transmission terminal of a vehicle. The connector is used to connect to the vehicle's OBD system, and the USB hub is used to connect to the vehicle's infotainment system. It can connect to the vehicle's infotainment system via USB and has a wide range of applications.

This utility model discloses an automatic inventory device and system for livestock RFID tags. The device includes a power supply unit, a main control chip, sensor devices, and a communication device. The power supply unit is connected to the main control chip and supplies power to the automatic inventory device. The main control chip is connected to the sensor devices, which identify livestock and transmit the identification results to the main control chip. The communication device is connected to the main control chip and includes an RFID read / write module and a 4G wireless terminal module. The RFID read / write module reads RFID ear tags from livestock and transmits the read RFID tag data to the main control chip. The 4G wireless terminal module transmits the data to a server. This utility model significantly reduces server load and network requirements, solving the problems of excessive reliance on servers and high network demands in existing technologies.

The invention relates to a multi-cloud resource dynamic scheduling method and device and a storage medium, and the method comprises the steps: carrying out the matching calculation of a resource type based on a to-be-executed task type, and confirming a task priority; predicting a task resource demand based on the resource type, the historical task traffic duration data and the real-time service load; according to the instance resource information and the estimated task duration in the resource demand, and the resource supply state and the instance price information of each cloud manufacturer, calculating the initial resource overhead of each instance type of each cloud manufacturer; obtaining correction overhead based on the initial overhead and the task priority regulation factor; then, screening the cloud manufacturer with the lowest correction overhead and the corresponding instance type as an optimal strategy; and finally, creating a temporary node and deploying an instance in a corresponding cloud manufacturer server. Through application of the method and the device, the problem that the requirements of refinement and low cost of business on dynamic resource management are difficult to meet in related technologies is solved.

The utility model relates to the technical field of pressing equipment, in particular to a pressing device. The pressing device is used for pressing a first workpiece and a plurality of second workpieces, and comprises a positioning mechanism used for bearing and positioning the first workpiece; the press-fit mechanism comprises a driving assembly, an elastic press-fit assembly and a fixed press-fit assembly, the driving assembly comprises a press-fit driving piece and a connecting piece, the press-fit driving piece is connected to the positioning mechanism, the connecting piece is connected to the press-fit driving piece, the elastic press-fit assembly is elastically connected to the connecting piece, the fixed press-fit assembly is connected to the connecting piece, and the fixed press-fit assembly and the elastic press-fit assembly are arranged at intervals; the elastic press-fit assembly and the fixed press-fit assembly correspond to the multiple second workpieces correspondingly, the press-fit driving piece drives the connecting piece to move towards the second workpieces, so that the elastic press-fit assembly and the fixed press-fit assembly abut against the corresponding second workpieces, and then the first workpiece and the multiple second workpieces are pressed. The pressing device can be used for pressing different workpieces at the same time, and is low in production cost, high in operation efficiency and good in pressing effect.

The invention provides an adaptive gamification virtual learning system based on a deep neural network, and the system comprises a user portrait processing module which is configured to collect the behavior characteristics, task context and motivation characteristics of a learner, and the motivation characteristics generate an initial motivation vector based on a multi-dimensional motivation model; after each round of learning task is completed, calculating an interaction index, converting the interaction index into an incentive estimated value, and periodically updating an initial incentive vector; generating structured user portrait data; the deep neural network prediction module is configured to perform nonlinear transformation and normalized weight calculation on the structured user portrait data through a feature attention mechanism to generate enhanced feature representation; outputting a learning effect index predicted value through a regression network in the multi-layer neural network model; and the self-adaptive recommendation module is configured to select the gamification intervention strategy with the highest predicted value as an initial recommendation result, output the initial recommendation result to the virtual learning environment and trigger the next round of motivation machine feature updating and recommendation process.

The application discloses a multi-process waste heat graded recovery and cross-region cascade utilization system, and belongs to the technical field of heat exchange and waste heat utilization. A heat source access module is used to detect the temperature, pressure and available energy index of a multi-process waste heat medium in real time. A graded processing module divides the waste heat into a high-grade channel, a medium-grade channel and a low-grade channel based on the sliding average value and the dynamic threshold value of the available energy index, and then outputs three intermediate waste heat flows. A heat exchange output module distributes the intermediate waste heat flows to users with different temperature requirements according to a preset temperature gradient, dynamically matches the heat supply load through supply-demand state monitoring, feedforward compensation and multi-stage compensation strategies. A capacity optimization module dynamically adjusts the grading threshold value, the bypass shunt ratio and the energy level improvement range based on real-time grade parameters and heat supply load data, and combines a prediction mechanism to optimize in advance. The multi-process waste heat is graded recovered and cross-region cascade utilized, and the comprehensive utilization rate of the waste heat is improved.

The application discloses a radial artery hemostasis compressor and relates to the technical field of hemostasis compressors.The radial artery hemostasis compressor comprises an upper end cover and a shell, a wrist strap and a gas bag assembly are arranged at the bottom of the shell, a circuit board and a battery are arranged in the shell, a control button and a display screen are arranged on the circuit board, a gas pump and a pressure relief valve are arranged in the shell, the gas pump and the pressure relief valve are connected with a quick plug connector through a third pipeline and a first pipeline respectively, and the quick plug connector is connected with the gas bag assembly through a second pipeline.The radial artery hemostasis compressor provided by the application sets different hemostasis compression pressure thresholds for different groups of people, thereby realizing accurate adjustment of the pressure of hemostasis compression, has high practicability, meets the actual needs of the radial artery hemostasis compressor, is provided with the gas bag assembly, realizes the change from traditional overall compression to bleeding point targeted compression, reduces unnecessary compression of non-bleeding areas, realizes a staged pressure relief strategy of first periphery and then center, and guarantees hemostasis and restores distal blood flow as soon as possible.

The present application belongs to the field of sitz bath and toilet chair, and provides a portable sitz bath and toilet chair, which comprises a mounting frame and a seat plate, the inner wall of the mounting frame is rotatably provided with the seat plate; a sitz bath assembly, the sitz bath assembly comprises a first sliding rail mounted on the inner wall of the mounting frame, a sitz bath plate sliding on the first sliding rail and a sitz bath basin mounted in the sitz bath plate; a toilet assembly, the toilet assembly comprises a toilet plate arranged on the inner wall of the mounting frame and a excrement barrel mounted below the toilet plate, the excrement barrel is sleeved with a garbage bag; further comprising a collection assembly and a traction assembly; the sitz bath basin can wipe or clean the patient or the old man, greatly improving the convenience of sitz bath; the collection assembly is driven by the traction assembly to collect the garbage bag, the port of the garbage bag is tightened, thereby realizing the rapid and automatic sealing of the excrement, effectively avoiding the influence of the excrement odor on the surrounding environment; meanwhile, the needs of the patient for sitz bath, toilet and chair are solved.

The invention discloses an energy-saving pressurizing and heating integrated system suitable for a high-altitude area, and relates to the technical field of plateau environment safeguard, and the energy-saving pressurizing and heating integrated system comprises a distributed compressor unit which is formed by connecting a plurality of independent low-power air compressors in parallel and is used for jointly providing pressurized air for a closed cabin; the integrated heat exchange pipeline network comprises a main air supply pipe and a wall-embedded heat exchange coil pipe, and the main air supply pipe is connected with an air outlet of the distributed compressor unit and the closed cabin; the wall-embedded heat exchange coil pipe is laid inside or on the surface of an enclosure structure of the closed cabin, an inlet of the wall-embedded heat exchange coil pipe is communicated with the main air supply pipe, and an outlet of the wall-embedded heat exchange coil pipe is led to the inner space of the closed cabin. The coil pipes laid in the wall body and the floor are directly used for increasing the surface temperature of the cabin body, radiant heating is achieved, and heat originally needing to be dissipated through additional energy consumption is effectively utilized.

This utility model discloses a crown spring connector, including a crown spring and a crown spring terminal. The crown spring terminal adopts a split structure, comprising a sleeve and a socket body. The sleeve has a stepped hole axially provided, including a mounting hole for placing the crown spring and a retaining hole to prevent the crown spring from falling out. The socket body is inserted into the end of the sleeve near the mounting hole, and the socket body and the sleeve are fixed together by riveting. Through the above method, the split design of this utility model effectively solves the problem of crown spring falling out, increases the contact surface between the body and the copper sleeve, increases the holding force between the body and the copper sleeve, and solves the problem of crown spring falling out due to large insertion and extraction forces and the requirement for insertion and extraction life.

The present application provides an image generation method, device, equipment, medium and product, and relates to the technical field of computer processing. The method comprises the following steps: obtaining second content based on a data unit and first content, wherein the first content is used at least for indicating first planning layout information of a first media element, and the second content is used for representing spatial position information of the first media element; and obtaining third content based on the second content, wherein the third content is provided by a first machine learning model and is used for indicating an output image corresponding to the first content. The method solves the problem that the output result of the machine learning model is not adapted to the demand when an image is generated or edited, and improves the accuracy of image generation or image editing.

The invention provides a GPU resource management method and system for designing a simulation platform based on AI drive, and relates to the technical field of computers.The method comprises the steps that in response to a submission event of a simulation task, first feature data are processed, and an initial resource template of the simulation task is generated; based on the initial resource template and the GPU hardware state data, matching and generating a resource allocation strategy corresponding to the simulation task from a preset resource allocation strategy library; in response to the start of execution of the simulation task, inputting the collected second operation data and an expected target of the resource allocation strategy into a resource adjustment model to obtain a resource adjustment instruction; and adjusting the GPU resources allocated to the simulation task according to the resource adjustment instruction. According to the GPU resource management method and system of the design simulation platform based on AI driving, the simulation task execution efficiency and precision are improved.

This invention discloses a demand-oriented dyeing and printing strategy guidance system and method, belonging to the field of dyeing and printing engineering technology. The system includes: an environmental constraint acquisition module for acquiring the application environment constraint characteristics of the dyed and printed materials; a process analysis module for obtaining process difference parameters and their distribution; a constraint allocation module for obtaining a constraint map; and a dyeing and printing guidance module for providing guidance using dyeing and printing strategies. This application solves the technical problem in existing dyeing and printing engineering technologies where dyeing and printing design cannot accurately allocate process parameters according to the application environment, leading to a mismatch between the performance of dyed and printed materials and actual needs. It achieves the technical effect of generating accurate dyeing and printing strategies through constraint maps in dyeing and printing engineering technologies, ensuring that the performance of dyed and printed materials matches the needs of the application environment and improving resource utilization efficiency.

The invention discloses a trajectory tracking and stability cooperative control method and system for a four-wheel steering and driving electric vehicle, and relates to the field of trajectory tracking and control of intelligent vehicles. Solving the linear time-varying discrete state space model by adopting a model prediction control algorithm improved by a multi-state weight adaptive switching strategy to obtain a target front wheel steering angle and an initial target rear wheel steering angle; after the initial target rear wheel rotation angle is subjected to weighted correction, additional yawing moment is calculated through sliding mode control, and the additional yawing moment is distributed to four wheels through quadratic programming to obtain braking moment of each wheel drive; and completing cooperative control based on the target front wheel rotation angle, the corrected target rear wheel rotation angle and each wheel drive braking torque. According to the invention, the track precision and stability can be dynamically balanced under the extreme working condition, the advantages of four-wheel steering flexibility and four-wheel driving yawing moment are considered, and the tracking precision and the driving safety under the extreme driving conditions of high-speed obstacle avoidance, ice and snow pavements and the like are remarkably improved.

The application provides a method for manufacturing alloy steel welding wire by a plating method, and belongs to the field of metal material welding materials, and comprises the following steps: analyzing the welding wire to obtain the original content of elements in the welding wire and giving a designed value of the alloy content of the welding wire to determine the alloy content in the plating layer; determining the preliminary thickness of the alloy plating layer of the welding wire; plating the plating layer on the surface of the welding wire according to the preliminary thickness; analyzing and testing to obtain the alloy content of the plating layer, comparing the alloy content of the plating layer with the designed value of the alloy content of the welding wire to obtain the adjustment coefficient of the alloy plating layer; determining the adjusted thickness of the alloy plating layer; and re-plating the original welding wire according to the adjusted thickness of the alloy plating layer. The application changes the thickness of the plating layer to increase the content of certain alloy elements of the existing welding wire, and meets the welding requirements of special materials and structures. The plating method is flexible, the thickness is easy to control, and the method has the advantages of low investment, green environmental protection, convenient component adjustment, low cost and short production cycle.

The application relates to the field of big data analysis, and discloses a user portrait construction method and system based on multi-source heterogeneous data fusion. The method comprises the following steps: obtaining original log streams from a multi-source heterogeneous environment, extracting feature representation vectors, analyzing weights, performing weighted processing, obtaining a weighted feature sequence, calculating mutual information values of the weighted feature sequence, performing feature fusion, performing matching degree checking, sorting and user binding according to a historical benchmark portrait, obtaining a binding behavior label set, analyzing the binding behavior label set, inputting the binding behavior label set into a pre-trained incremental learning model, obtaining core label values after variance checking, performing mapping processing to generate an optimized recommendation sequence, executing the optimized recommendation sequence, collecting interaction behavior logs, and realizing dynamic evolution of a user portrait. The application can realize efficient integration of multi-source data and dynamic updating of portrait labels, and further improve the accuracy and timeliness of a user portrait.

This invention relates to the field of power grid information security technology, specifically a method, system, device, and storage medium for detecting malicious software in the power grid Internet of Things (IoT) based on active learning. The method involves acquiring application samples from power grid IoT nodes, extracting static features, dynamic features, and power grid context information to form a multi-dimensional feature vector, and organizing these into data blocks according to timestamps. Classification uncertainty scores are calculated from an unlabeled sample pool, a detector committee is constructed to calculate consensus entropy, and the sample with the most information content is selected by combining the two scores and submitted for expert annotation. A random forest classifier is trained to build a detection model. The F1 score of the current data block is evaluated; annotation stops when a preset threshold is reached and is applied to the next data block. Model performance changes are monitored, and when performance degradation is detected, batch retraining, rolling back historical configurations, or incremental updates are performed based on the evolution of the threat environment. The method reduces annotation costs through sample selection and addresses the conceptual drift problem of the power grid threat environment through an adaptive update strategy.

The application discloses a crop classification method of a self-adaptive SAM and ConvxLSTM hybrid model, and relates to the technical field of remote sensing image processing. The method comprises the following steps: constructing a time series dataset facing crop phenology, filtering and screening an optimal classification time phase band combination through J-M distance; generating unmarked samples according to the optimal classification time phase band combination, generating crop pseudo-labels with category annotations based on a self-adaptive SAM model; processing the time series dataset based on a ConvxLSTM network to classify crops and output crop classification results. The application can ensure automatic acquisition of high-quality crop pseudo-labels, provide crop category annotations for the pseudo-labels, greatly reduce the excessive dependence of a model on artificially annotated samples, more effectively mine the space-time features of data, and thus improve the crop classification precision.

The application discloses intelligent glasses, and relates to the technical field of intelligent wearable devices.The intelligent glasses comprise a glasses frame main body, a function module and a connecting mechanism, the glasses frame main body is provided with a control module, the function module is detachably connected to the glasses frame main body, the connecting mechanism comprises a first docking assembly and a second docking assembly, one of the first docking assembly and the second docking assembly is arranged on the glasses frame main body, and the other is arranged on the function module, the first docking assembly comprises a locking piece and an electrically-controlled driving piece, the locking piece is movably arranged relative to the glasses frame main body or the function module, and has a locking position and an unlocking position, the second docking assembly comprises a matching piece, and the connecting mechanism has a locking state and an unlocking state.The application aims to solve the problems that the existing intelligent glasses cannot meet the contradictory requirements of convenient wearing and rich functions in different scenes, and the physical contradiction that the connection of components is firm and the disassembly is convenient.

This invention relates to the field of graphics card chip technology and discloses a method and system for dynamic scheduling of computing power in a graphics card cluster. The method includes acquiring graphics card utilization and network traffic sampling sequences, obtaining computationally and communication-intensive stage label sequences through timestamp alignment and stage analysis; calculating the peak computing power and bandwidth requirements of the two types of stages and prioritizing tasks; matching target graphics card groups, generating reserved bandwidth channels by pre-allocating network paths in conjunction with stage switching windows; and synchronizing execution parameters and updating the running status sequence in a closed loop. This method can achieve precise dynamic scheduling of graphics card cluster computing power, meeting the dual requirements of high-performance computing efficiency and resource utilization.

This invention relates to a method for sharing real-time IPTV content to a mobile terminal for playback, belonging to the field of wireless communication and terminals. The method includes: the IPTV device and the mobile terminal sending a STUN request to a public STUN server to bypass NAT and automatically obtain the corresponding public IP address; the IPTV device and the mobile terminal establishing an IPSec encrypted tunnel based on the IPSec protocol; the IPTV device receiving the operator's playback stream, extracting video and audio data, re-encapsulating it into RTP format, encrypting it, and transmitting it to the mobile terminal through the IPSec encrypted tunnel; the mobile terminal decrypting and verifying the integrity of the data packets, extracting the RTP payload, and playing the corresponding video and audio data in real time; the mobile terminal sending control commands to the IPTV device through the IPSec encrypted tunnel; the IPTV device parsing the control commands and calling an API to switch channels, synchronously updating the electronic program guide information to the mobile terminal. This method enables mobile devices to remotely receive and play television channel content from a home IPTV device via the public network, overcoming spatial limitations.

This invention relates to the field of edible mushroom cultivation technology, specifically to a high-efficiency three-dimensional cultivation method for *Pleurotus ostreatus* based on multi-stage temperature and humidity control, comprising the following steps: S1, substrate pretreatment; S2, mycelial culture; S3, mycelial physiological activity detection; S4, dynamic regulation of environmental parameters; S5, enzyme induction treatment during the color change stage; S6, directional bud induction treatment; S7, gradient development regulation; S8, pre-harvest regulation. This invention, by establishing a three-dimensional cultivation system combining multi-stage dynamic temperature and humidity control with mycelial physiological state monitoring, achieves precise environmental adaptation at each stage of mycelial culture, color change induction, and fruiting body development. It effectively solves the technical problems of mismatched environmental parameters and growth requirements, and imbalanced interlayer microenvironments in traditional cultivation, significantly improving the cultivation efficiency and quality consistency of *Pleurotus ostreatus*.

This utility model discloses a high-temperature resistant slide rail with spring-loaded locking mechanism, including a first track, a second track, and a sliding mechanism and a locking mechanism disposed between the first track and the second track. The locking mechanism includes a first spring, a second spring, and a locking protrusion. First, the first spring has a limiting convex surface for abutting the locking protrusion. The limiting convex surface achieves the automatic locking effect of the second track after stretching by abutting and limiting the locking protrusion, making the second track less prone to shrinkage and movement. At the same time, the double spring structure allows the locking mechanism to be adjusted during the stretching process, thereby adjusting the locking force required for the slide rail to close or open by adjusting the locking mechanism. With the slide rail, which can be made of all-metal components, this effectively solves the market demand for slide rails with limited automatic sliding function and high temperature resistance, and improves the safety performance of high-temperature resistant slide rails.