37results about How to "Real-time collection" patented technology

The invention provides a high-altitude energy storage monitoring system. The system comprises an environmental data acquisition module, an intelligent temperature control analysis module, an intelligent energy scheduling module, a health monitoring module, a self-adaptive adjustment module and a system optimization module. The invention provides an intelligent and environment-adaptive energy storage system monitoring and maintenance strategy, the temperature control strategy, the energy distribution and the maintenance plan can be dynamically adjusted according to the real-time change of the high-altitude environment, the efficient operation of the energy storage system is realized, and the service life of equipment is prolonged. A sensor technology is used for collecting multi-dimensional environment data, and an intelligent algorithm is combined to monitor the operation state of the equipment in real time, predict the health state of the equipment, optimize energy scheduling and formulate a self-adaptive maintenance strategy, so that the fault risk and the maintenance cost are reduced, and the stable operation of the system in a complex environment is ensured.

The invention relates to an intervertebral disc degenerative change analysis system based on multi-dimensional information. The system comprises a data processing module, a modifiable factor processing module, a circular RNA data processing module, a biomarker processing module, an image processing module, a treatment information processing module, a diagnostic feature anchoring module, a model generation module and a change analysis module. Anchoring is carried out on circular RNA, biomarkers, treatment information and modifiable factors through image information to form an anchoring network, and a reliable and effective basis can be provided for disease course analysis through big data and a large number of research results, so that each doctor has a targeted expectation and understanding on the disease course of a patient in the diagnosis stage; the method has the advantages that an interventional therapy scheme can be arranged in advance or the condition of a patient can be observed in real time, research results can be collected and fed back in time through big data, the information utilization rate is increased, and an information dimension integration scheme for degenerative disease recognition is created, and the accuracy of recognition results is improved.

The invention discloses an aluminum numerical control milling machine with a follow-up chip removal function, and relates to the technical field of numerical control machine tools. The invention provides an aluminum numerical control milling machine with a follow-up scrap cleaning function, which can perform real-time collection and cleaning along with the movement of a tool bit. An aluminum numerical control milling machine with a follow-up scrap removing function comprises a machine tool, a mounting frame is fixedly connected in the machine tool, first sliding plates are symmetrically connected in the mounting frame in a sliding mode through sliding grooves, a collecting frame used for collecting scraps is fixedly connected between the first sliding plates, the aluminum numerical control milling machine further comprises a vertical plate, and the vertical plate is fixedly connected to the collecting frame. The side, away from the collecting frame, of the vertical plate is slidably connected with a sliding frame, and the side, away from the vertical plate, of the sliding frame is symmetrically slidably connected with clamping plates. The clamping plate is clamped on a tool bit of a machine tool, chippings generated when the tool bit machines aluminum workpieces can fall into the collecting frame to be collected, and when the tool bit moves left and right, the clamping plate drives the collecting frame to move left and right through the sliding frame and the vertical plate, so that the collecting frame moves along with the tool bit to conduct real-time collection.

The invention provides an aquaculture intelligent monitoring management system based on the Internet of Things technology, and relates to the technical field of aquaculture, and the system comprises a laying module which is used for determining a key position in an aquaculture environment, and laying a plurality of sensor nodes at the key position; the communication module is used for being in wireless communication connection with the plurality of sensor nodes so as to send the breeding data monitored by the sensor nodes; the data analysis module is connected with the communication module and used for receiving and analyzing the breeding data sent by the communication module and determining a dynamic correction value; and adjusting the position of the current sensor node by using the dynamic correction value to obtain a final position node. The intelligent level of aquaculture can be improved.

The invention belongs to the technical field of cloud computing, and discloses a cloud computing software log auditing management system, which comprises a log collection module, a log auditing module and a log auditing module, the data processing module is used for preprocessing the collected software log data to obtain effective log data, and performing unsupervised clustering on the effective log data according to similarity by adopting a clustering algorithm to obtain log clusters; the feature extraction module is used for performing feature extraction on the data in each log cluster to obtain log features; the intelligent analysis alarm module is used for performing prediction by taking the log features as the input of the log analysis model based on the constructed log analysis model, obtaining a danger score and performing alarm processing based on the danger score; and the software log management and security auditing capabilities of the system in the cloud computing environment are effectively improved.

The utility model provides a kind of collection test device of battery cell thermal runaway gas production.The collection test device of battery cell thermal runaway gas production includes: detection main body, with installation cavity;Gas composition detection part;Gas collection part, including temporary storage part, first pipeline and second pipeline, temporary storage part has accommodating cavity, the first end of first pipeline is communicated with installation cavity, the second end of first pipeline is communicated with the gas inlet end of accommodating cavity, the first end of second pipeline is communicated with the gas outlet end of accommodating cavity, the second end of second pipeline is communicated with gas composition detection part;Trigger part, trigger part is used to make the battery cell to be measured to occur thermal runaway.The technical scheme of the utility model can solve the problem that the safety abuse test device of existing power battery cell or module cannot collect the gas generated by thermal runaway at any time and detect the composition of the gas generated by thermal runaway, resulting in the inability to provide basis for subsequent fault diagnosis and safety policy formulation.

This invention discloses a molecular genetics laboratory management system for a genetics center, belonging to the field of laboratory information management technology. It provides real-time monitoring of sample status, dynamic scheduling of subsequent tasks, and early warnings for near-expiration and overdue samples. Experimental data is collected through structured electronic task sheets, and the analyzed genetic variation information is dynamically updated to a mutation database. Historical variation data is intelligently recommended for report generation. Report content is automatically populated based on variation data and adapted to project templates. It supports configurable multi-level review processes, enabling online collaboration and operation tracking. Based on review results, first-use acceptance and automatic deduction of inventory for reagents and consumables are performed. Based on resource linkage and traceability, gene disease databases and mutation databases are collaboratively constructed. This system achieves fully automated management from intelligent sample monitoring and scheduling to automatic report generation and review, significantly improving the operational efficiency, data accuracy, and resource utilization of the genetics laboratory.

This invention discloses a corrosion-resistant metal pipe processing device, belonging to the technical field of metal pipe grinding and processing equipment. It includes a support frame, with two sets of centering clamping components mounted on the top of the worktable. A telescopic grinding component corresponding to the center of the centering clamping components is mounted on one of the support plates. The centering clamping components include a positioning cylinder fixed to the worktable and centering clamps evenly distributed along the positioning cylinder. The telescopic grinding component includes a telescopically adjustable support cylinder, a rotating cylinder rotatably mounted at one end of the support cylinder, and grinding arc blocks symmetrically inserted into both ends of the rotating cylinder. A cleaning component is mounted at the other end of the support cylinder, comprising a suction hose inserted into the bottom of the support cylinder and a waste box connected to the lower end of the suction hose. This invention features automatic centering of the pipe clamping, coaxiality between the grinding mechanism and the pipe without repeated adjustments, adaptability to various pipe diameters, and synchronous negative pressure chip collection during grinding to improve cleaning efficiency, effectively improving processing quality and efficiency.

This utility model belongs to the field of cast iron repair technology, specifically a device for repairing surface defects in cast iron pipes, including an arc spray cold welding machine body; a collection box is fixedly connected to the side wall of the arc spray cold welding machine body; an air pump is fixedly connected to the side wall of the collection box; a dust suction pipe is fixedly connected to one end of the air pump; metal dust generated during the repair process is sucked in through the dust suction pipe and sent into the collection box through the conveying pipe. The dust is intercepted and filtered by the filter screen in the collection box, and the purified air is discharged from the opening. The support rod and the base cooperate to form a stable support for the dust suction pipe, ensuring that the dust suction port is accurately aligned with the defect repair area. Through the cooperation of the air pump and the collection box, the dust is collected in real time during the repair process, avoiding the operator from inhaling harmful dust. The filter screen can effectively filter dust and prevent secondary pollution. The support structure of the base and the support rod improves the stability of the dust suction pipe and ensures the dust suction effect.

The application relates to the technical field of in-situ heat regeneration and road maintenance, in particular to a mixing device and a mixer for in-situ heat regeneration asphalt mixture. The mixing device for in-situ heat regeneration asphalt mixture comprises a mixer body and a waste gas treatment system. The waste gas treatment system comprises a waste gas collecting section, an extendable adjusting section and a fixed connecting section which are sequentially communicated. When the second hose is unwound or wound on the rotating disc mechanism, the third hose automatically performs the compensation movement of extending or retracting correspondingly, so that the continuity and sealing property of the first hose, the second hose and the third hose are maintained. Through the integrated waste gas treatment system, the effect that the toxic volatile matters of asphalt generated in the mixing process are collected and treated in time is achieved, and the safety hidden danger that the operating personnel are forced to inhale the harmful gas in the prior art is effectively solved.

The invention discloses a gas-liquid erosion experimental device for a U-shaped pipeline. The gas-liquid erosion experimental device comprises a gas phase injection system, a liquid phase injection system and an erosion device which are connected with the pipeline, the gas phase injection system is used for injecting gas into the pipeline; the liquid phase injection system is used for injecting an ammonium chloride solution into the pipeline, and an atomizing nozzle is assembled at the tail end of the liquid phase injection system; a U-shaped sample tube for carrying out an erosion experiment is assembled in the erosion device; a data collecting and processing system is assembled on the erosion device; the detection precision is high, and the injection conditions of a gas phase and a liquid phase can be accurately controlled through the gas phase injection system and the liquid phase injection system; the applicability is wide, and the influence on pipeline erosion under different ammonium chloride solution concentrations and air flows can be tested; operation steps are simple, phenomena are obvious, direct observation is facilitated, and experiment efficiency is improved.

The invention relates to the technical field of grassland restoration, in particular to an irrigation monitoring system for grassland original ecological restoration, which comprises an irrigation data collection and analysis module, an irrigation demand prediction module, an irrigation strategy intelligent adjustment module, an irrigation equipment state monitoring module and an equipment fault automatic troubleshooting module. A sensor network is deployed to collect data, and the collected data is preprocessed, so that the accuracy of the data is improved; the irrigation demand is predicted by using the prediction model, and manual intervention is reduced; the irrigation strategy is automatically adjusted according to the predicted irrigation requirement, and automatic management of irrigation is achieved; the state parameters of the irrigation equipment are monitored in real time, so that safety accidents caused by equipment faults can be avoided; by using the Bayesian theorem and combining the early warning signal and the equipment state parameters monitored in real time, the fault reason is positioned, so that measures can be taken immediately. The method is used for solving the technical problem that the monitoring management level of current grassland recovery is not high.

The utility model discloses a device for reducing friction scratch of a reworked piece, which comprises a first conveyor belt, a second conveyor belt arranged on one side of the first conveyor belt, a support frame arranged above the second conveyor belt, a mounting plate connected with the support frame through an electric telescopic rod, a nozzle arranged below the mounting plate, and a connecting pipe connected with the nozzle through an air ejector pipe. According to the rework piece conveying device, the rework pieces are placed on the second conveying belt to be conveyed, and surface scratching caused by collision or friction in the conveying process can be effectively avoided. The design not only protects the surface quality of the reworked piece, but also improves the safety and stability of the transmission process. In addition, a nozzle and a dust hood are arranged above the second conveyor belt, and the devices can clean the reworked piece in real time.

This utility model discloses a multi-roller speed acquisition device for a textile production line, relating to the field of textile equipment. Its key technical features include: multiple acquisition terminals, each comprising a bracket, an encoder, and a synchronous pulley connected to the encoder's shaft; the bracket is used for mounting on the textile equipment, and the brackets for multiple acquisition terminals can share the same bracket or each use a different bracket; the synchronous pulley contacts the rollers of the textile equipment. This utility model includes multiple acquisition terminals, each corresponding to multiple rollers of a single textile machine or multiple rollers of multiple textile machines. Through the contact transmission between the synchronous pulley and the rollers, combined with the encoder, the speed of each roller is accurately converted into an electrical signal, achieving comprehensive and real-time collection of the speeds of multiple rollers on the production line, providing a complete data foundation for subsequent adjustments.

This invention relates to a reel-changing method for an automatic cigarette paper changing machine, comprising: calculating the unwinding speed of the A reel unwinding shaft; calculating the tension swing PID of the A and B reel unwinding shafts; the process of the upper rejection roller cutting the unwound paper strips from the A reel unwinding shaft; and the paper strip splicing process: the smooth roller starts in advance to achieve a uniform speed; the pattern roller accelerates from a standstill at the acceleration position, and its speed must be exactly the same as the smooth roller and the linear speed of the paper roll before reaching the splicing position; the pattern roller and the smooth roller instantly bond the unwound paper strips from the A and B reel unwinding shafts; and the lower rejection roller cuts the unwound paper strips from the B reel unwinding shaft. This invention achieves dynamic online real-time monitoring and real-time action, as well as the mutual coordination between actions, realizing automatic reel changing and glue-free paper strip bonding, overcoming industry problems and truly achieving mechanical automation.

This invention discloses an automated haircutting method and system based on hair state preprocessing. The method first acquires the user's head model and target hairstyle data through a 3D vision module. Then, based on an electric field-hair interaction model, a static electricity generation module is controlled to generate a directional and controllable static electricity field, causing the hair to overcome gravity and adhesion forces and tend to stand upright, forming a standardized non-contact cutting surface. Subsequently, based on hair quality characteristics (such as hardness and moisture) and the 3D geometric differences of the target hairstyle, a multimodal cutting decision algorithm is used to schedule cutting units including rotating blades, water jets, and lasers for collaborative or selective cutting. Simultaneously, a negative pressure hair clipping processing module collects and adsorbs hair clippings in real time. The system may also include a post-service processing module for rinsing, massaging, drying, and styling. This invention achieves automated, precise, and clean intelligent haircutting, solving problems such as low efficiency, poor hygiene, and difficulty in handling hair clippings in traditional haircutting methods.

The utility model relates to the field of textile auxiliary instrument, concretely relates to a cleaning mechanism of double twister, including casing, guide wheel and guide wire bar still include: fixed in the wire guide plate of casing, its opening has wire hole, wire hole, guide wheel and guide wire bar are sequentially arranged along the yarn conveying direction, fixed in the lower cleaning box of wire guide plate, and located between guide wheel and guide wire bar, set up in the upper cleaning box of lower cleaning box top, the utility model discloses through setting up the rotation pipe of single -hand operation and the linkage mechanism of lifting rod linkage, only need to rotate lower locking piece when changing the line can drive the vertical rise of upper cleaning box, make the quick separation of upper and lower cleaning box, do not need to manually wear yarn, greatly simplify the operation process. Especially suitable for multi -spindle position production scene, significantly shorten the line changing time, improve overall production efficiency.

The utility model belongs to the technical field of waterproof thermal insulation material processing, and particularly relates to a laser cutting device for waterproof thermal insulation material processing, which comprises an adjusting mechanism, and a cutting component is slidably connected to a track on the outer side of the adjusting mechanism. In the laser cutting process of the waterproof heat preservation material, when the waterproof heat preservation material is fixed, the waterproof heat preservation material is mostly of a low-density porous structure, a conventional clamp is prone to causing surface pressure loss or displacement, cutting precision deviation is caused, and an adsorption mechanism below an installation workbench is connected with a vacuum pump through an electromagnetic valve set. The adsorption pipeline generates adsorption force to the array type vacuum adsorption holes, meanwhile, the liftable rubber pressing strip arranged on the edge of the workbench is driven by the telescopic air cylinder and matched with the adsorption mechanism to achieve material edge fixing, vacuum adsorption and elastic edge pressing combined tool, the problem that low-density materials are prone to displacement is solved, and the positioning precision is improved.

The invention discloses an environment-friendly power construction process data acquisition, processing and analysis system, equipment and a medium, mainly relates to the technical field of environment-friendly power construction, and is used for solving the problems that environment-friendly data in the existing construction process mainly depends on manual data acquisition, the acquisition speed is relatively low, a construction site can change and the construction cost is low. Manual collection is difficult to fully cover, and the collected data cannot be effectively analyzed. Comprising the following steps: acquiring equipment names of a plurality of monitoring sensors corresponding to each monitoring area in the next day through an equipment placement terminal; acquiring real-time acquisition data uploaded by each monitoring sensor through a wireless communication mode; wherein the real-time acquisition data comprises the equipment name of the monitoring sensor; and generating a fitting curve corresponding to each monitoring sensor based on the real-time collected data, obtaining the trend of each fitting curve, and determining whether data abnormity occurs based on the trend of the fitting curve.

The invention discloses a visual construction management monitoring device and method based on BIM + AI, and belongs to the technical field of building construction. The device comprises a camera device, a connecting frame is arranged at the upper end outside the camera device, a second motor is arranged at the upper end inside the connecting frame, a hydraulic telescopic rod is arranged at one end of an output shaft of the second motor, a shock absorber is arranged at one end of the hydraulic telescopic rod, and a connecting frame is arranged at one end of the shock absorber. And five fiber rollers are transversely, sequentially and uniformly distributed in the connecting frame. Through driving of a second motor, stretching and retracting of a hydraulic telescopic rod and damping of a damper, fiber rollers can be attached to the camera device subjected to rotation adjustment, one fiber roller can independently rotate after being driven by a fourth motor, and the cleaning effect of the camera device can be further improved; potential safety hazards, quality problems and progress deviation in the construction process can be intelligently recognized, monitoring and management are conducted in real time, and a powerful guarantee is provided for smooth proceeding of a project.

The invention discloses a dust removal device for mobile discharging of an ore tank. The dust removal device comprises a dust conveying pipe used for dust collection and gas conveying. The gathering mechanism is arranged outside one end of the dust conveying pipe and used for gathering dust collected by the dust conveying pipe, the gathering mechanism comprises a fixed box, the interior of the fixed box is communicated with one end of the dust conveying pipe through a connecting pipeline, a hopper is communicated with the lower portion of the interior of the fixed box in a penetrating mode, and an exhaust pipe is communicated with the interior of the fixed box in a penetrating mode. A fan is fixedly connected to the interior of the exhaust pipe; the separation assembly is arranged in the fixed box and is used for separating dust in the collected dust gas from the gas; relates to the technical field of dust removal of ore tanks, and solves the problems that when an existing negative pressure dust removal system is used, as a pulse bag type dust remover is used for dust removal, a filter bag is blocked by dust, the exhaust dust removal effect is affected, meanwhile, the filter bag is high in replacement difficulty and cost, and the actual dust removal cost is increased.

The application provides an intelligent video analysis method based on large model scheduling, which comprises the following steps: video data acquisition and preprocessing, video content feature extraction and analysis, large model dynamic scheduling and task allocation, video analysis based on the large model and result generation, result fusion and post-processing, online incremental learning and model updating, and the like. The method can efficiently and automatically analyze, has the advantages of quantifying behavior reliability, flexible adaptation to scenes, and support for complex decisions. Meanwhile, multi-dimensional information fusion improves the accuracy of behavior description and the practical application value of the analysis method.

The invention provides a bulk cargo international freight intelligent grouping optimization system based on data processing, and relates to the technical field of data processing, and the system comprises an intelligent analysis module which is used for carrying out the analysis of a standardized data set through a deep neural network, so as to recognize a potential grouping opportunity and an optimization scheme; the grouping optimization module is used for determining a preliminary grouping combination based on the potential grouping opportunities and optimization schemes; for each preliminary group combination, adjusting the cost saving and transportation aging prediction of the preliminary group combination by using a dynamic adjustment factor to obtain an optimized group combination; and generating a final group splicing suggestion based on the optimized group splicing combination. According to the invention, the efficiency is improved, the cost is reduced, and the flexibility is improved.

The invention discloses a system based on children education, children reading and image recognition, which comprises a control module, an operation module, a 2D surface patch module, a 3D model module, a special effect module and an audio module, and is characterized in that the operation module senses operation, generates a corresponding operation signal and sends the operation signal to the control module; and the control module generates a corresponding control signal according to the operation signal, and controls the 2D patch module, the 3D model module, the special effect module and the audio module to be combined. Pictures, videos, audios, patches, 3D models, scenes and special effects can be made by a user, then a 2D patch module, a 3D model module, a special effect module and an audio module are combined according to different modes, different scenes can be made in real time, the scenes are fused into daily work of a school, children can explore the intelligent activity environment, the digital toy teaching aid is adopted, and the teaching effect is improved. And real-time scene education data collection and sharing support performance analysis and feedback in the child activity process.

The present invention provides a customer update management system based on big data, which belongs to the field of information management and solves the problem of poor reference of customer information processing results. The specific method is as follows: obtaining customer personal information, completed order information and historical order information to obtain customer initial information; analyzing the consumption expenditure and consumption potential of the customer initial information to obtain a primary customer consumption report; a customer consumption record module obtains additional order information of the customer, corrects the primary customer consumption report, and obtains the customer consumption report; the customer monitors whether the customer initial information has changed; if not, updating the historical customer information according to the customer consumption report; if changed, updating the historical customer information according to the changed customer initial information; the present invention acquires and processes customer personal and order information, analyzes the customer's consumption willingness and consumption potential, and enables the enterprise to timely understand customer behavior and demand to adjust production and sales plans.

The utility model discloses a device that can carry out double -sided four -hole positioning processing on wooden piece, including positioning mechanism and drilling mechanism, positioning mechanism includes first support frame, and the top of first support frame is provided with the feeding channel, is provided with positioning unit on first support frame, drilling mechanism includes drilling unit, and drilling unit is provided with two groups, and two groups drilling unit are arranged respectively in the both sides of feeding channel, drilling unit includes second support frame, and the both ends of second support frame are provided with X -axis adjusting mechanism, and X -axis adjusting mechanism is provided with Y -axis adjusting mechanism, and Y -axis adjusting mechanism is provided with depth drive mechanism, and depth drive mechanism is provided with drilling motor, and two drilling motors are used for drilling through -hole and blind hole communicated with through -hole respectively. The utility model realizes the disposable double -sided four -hole accurate positioning of wooden piece in the feeding channel, avoids the position deviation caused by repeated clamping, and ensures the coaxiality of both end counter -bores and the hole spacing precision.

The present application relates to a kind of steel rail irregularity remote control automatic detection device and system, the device includes: frame, sliding connection in the steel rail;Driving unit, the frame is driven and slides on the steel rail along the length direction of the steel rail;Data collection unit is installed on the frame near the side of the steel rail, and the data collection unit is used to collect the deformation data of the steel rail.The present application is simplified by the above arrangement The entire detection process ensures the accuracy, efficiency and consistency of detection data, has lower professional requirements, has smaller technical difficulty, has low manufacturing and maintenance cost, and is convenient for popularization and application.

The present invention provides a public opinion risk determination system based on AI technology, which relates to the field of electronic digital data processing, including a data collection module, a text processing module, a model construction module and a comprehensive rating module. The data collection module is used to collect public opinion information, the text processing module is used to perform text analysis on the collected public opinion information, the model construction module is used to organize and count the analysis results to obtain a public opinion model of the event, and the comprehensive evaluation module is used to perform a comprehensive analysis on the public opinion model to determine risk information; this system can monitor and analyze public opinion data in real time, and determine public opinion risks in a timely manner through a multi-level and multi-dimensional analysis model.

The invention discloses a student score online monitoring method and system based on improved FA algorithm optimization SVR, and relates to the technical field of student score monitoring, and the method comprises the following steps: 1, carrying out the normalization processing of initial sample data; 2, setting a support vector regression model and improved firefly algorithm initial parameters; 3, initializing a population; 4, decoding operation is executed, and the fitness is calculated; 5, updating the positions of the fireflies; 6, updating the optimal solution; and 7, adding one to the number of iterations, and returning to the step 4. According to the method, model parameters are optimized by introducing the improved firefly algorithm, the prediction accuracy of the model is improved, compared with a traditional method, the improved firefly algorithm simulates glitters and mutual attraction behaviors of fireflies, better solutions are continuously searched in a parameter space, finally, a parameter combination enabling the model prediction error to be minimum is found, and the prediction accuracy of the model is improved. Therefore, the prediction accuracy of the SVR model is improved.

The invention discloses an underwater surveying and mapping method and device for an unmanned ship, a medium and a program product, and relates to the field of data processing. The method comprises the following steps: when the unmanned ship sails in a target water area according to a preset route, acquiring underwater sounding data acquired by an underwater sounding module and surveying and mapping point positioning data acquired by a GNSS positioning module; generating an underwater topographic data set according to the underwater sounding data and the surveying and mapping point positioning data; segmenting the underwater topographic data set into a plurality of underwater topographic data subsets; performing recursive processing on the plurality of underwater topographic data subsets to obtain a plurality of processed underwater topographic data subsets; and generating underwater topographic mapping data according to the plurality of processed subsets of underwater topographic data. The underwater surveying and mapping efficiency and precision of the unmanned ship can be improved, the high-quality underwater topographic data processing efficiency is ensured, and the double bottleneck problems of data processing speed and precision are effectively solved.