38results about How to "Address limitations" patented technology

The invention relates to the technical field of precision measurement and optical detection, and discloses a complex inner hole rapid detection method based on laser scanning. According to the method, full-automatic three-dimensional reconstruction of the special-shaped inner hole with the high depth-diameter ratio is achieved through cooperative movement of a rotating platform and an axial feeding laser measuring head in combination with triangulation method laser displacement sensing, multi-source data fusion and an environment compensation mechanism. According to the invention, a traditional contact type measuring means is abandoned, and a non-contact laser scanning technology is adopted, so that the problem of workpiece surface scratch or measuring head wear caused by physical contact is avoided; through cooperative movement of the rotating platform and the linear feeding mechanism, full-circumferential and full-depth coverage scanning of a complex inner hole is achieved, and the limitation that only discrete points or local information can be obtained through an existing method is solved.

The invention discloses a liquid milk UHT cleaning model construction method based on multiple monitoring parameters, and the method comprises the steps: setting cleaning parameters, carrying out the multi-parameter monitoring through a plurality of monitoring probes in a CIP cleaning process, and carrying out the sampling at preset time intervals, so as to measure the protein concentration; by adopting a response surface analysis method, analyzing and fitting monitoring data, sampling measurement values and cleaning parameters of each probe to obtain an equation model of the cleaning time to the cleaning temperature, the cleaning flow speed and the cleaning liquid concentration; a symbolic regression method is adopted, and an equation model of the cleaning speed to the cleaning time, the cleaning temperature, the cleaning flow speed and the cleaning liquid concentration is obtained by analyzing and fitting the monitoring data, the sampling measurement values and the cleaning parameters of all the probes. The cleaning time equation and the cleaning rate equation adopt multiple parameters to carry out modeling research on the cleaning process, and reference is provided for optimization of the pipeline cleaning process in the dairy industry.

This utility model discloses a broadband high-speed photodetector module, including: a housing and a driving circuit. The housing has an internal mounting cavity, a high-speed broadband response photodetector, and is fixed inside the housing via an SMA interface. An OLED display screen is embedded on the front of the housing and connected to the driving circuit via a flexible circuit board. The high-speed broadband response photodetector has a spectral response range of 800nm ​​to 1650nm, fully covering the wavelength requirements of multimode and single-mode optical fibers. It solves the limitations of traditional modules with single wavelength or narrow spectrum, significantly improves compatibility with different optical fiber systems, and is suitable for complex hybrid optical fiber network scenarios. Through the coordinated design of the cylindrical body on the side wall of the housing, the air outlet, and the heat dissipation components, the heat generated by the photodetector during operation can be quickly dissipated, avoiding performance degradation or device damage due to temperature rise, and ensuring long-term stable operation of the module under high-speed and high-load conditions.

The invention discloses a PLC programming environment based on a web technology stack and a construction method thereof, and relates to the field of industrial intelligent control, and the PLC programming environment comprises an expansion framework module, a user interface module, an equipment management module, a communication protocol module, a project management module and a monitoring debugging module. The PLC programming environment adopts a VS Code expansion architecture, integrates a modern Web technology, and constructs a graphical PLC integrated development environment. The environment supports the functions of PLC project management, task programming, equipment configuration, bus management, real-time monitoring, variable debugging and the like. The problems that a traditional PLC programming environment is insufficient in expansibility, poor in user experience and the like are solved, and the problem that different manufacturers lack a unified development platform is solved.

The utility model discloses a kind of security monitoring equipment cable fixer, relate to security monitoring equipment accessory technical field;To solve the problems of single structure, poor adaptability, easy to wear cable and fixed installation position of existing fixing device;The fixer includes support plate, support rod, telescopic rod and fixer, support rod is connected telescopic rod by screw and cooperates nut locking, realize height stepless regulation, fixer is cooperated with long strip fixed recess by recess screw, can be transversely slid and adjusted position;Anti-skid rubber pad is equipped in cable recess inner wall, adapts multiple path cable and reduces abrasion;Support rod end threaded hole is convenient and firm connection with wall surface or equipment, stainless steel telescopic rod improves corrosion resistance performance.The whole installation is flexible, stable, long in service life, and is suitable for efficient fixing of cable in security monitoring system.

The utility model provides a cable terminal structure. The cable terminal structure comprises a shell, a guide connection assembly, an adapter, a first conductor and a second conductor, a cavity is formed in the shell, and the guide connection assembly, the adapter, the first conductor and the second conductor are all arranged in the cavity of the shell; the first conductor, the second conductor and the guide connection assembly are respectively positioned on three sides of the adapter and are electrically connected with the adapter; wherein the first conductor and the second conductor are detachably connected with the adapter; the shell is provided with a first through hole which is opposite to the first conductor, and the shell is provided with a second through hole which is opposite to the second conductor; the shell is provided with a guide connection hole suitable for inserting a cable joint; the cable connector extends into the cavity of the shell through the guide connection hole, and the cable connector is electrically connected with the adapter through the guide connection assembly. The cable terminal is provided with the two adapters in different directions, so that the cable joint can be connected with different devices at the same time, and the expansibility of the cable terminal can be improved.

The invention relates to the technical field of information security, discloses a data privacy protection protocol analysis method, device and system based on a dynamic rule, and aims to solve the problems that an existing privacy protection strategy statically solidifies, rule dynamic perception is insufficient, and protocol compliance evaluation is limited. The method, the device and the system are characterized in that formalized modeling is performed on a protocol, a privacy protection rule is dynamically acquired and converted, and a model is checked based on the rule; and if not, automatically correcting the model, and converting the model into instruction deployment. According to the scheme, dynamic, continuous and intelligent management of the protocol is realized, and privacy security guarantee and compliance agility are remarkably improved.

The invention provides a curved-surface foam processing method. The curved-surface foam processing method comprises the following steps: S1, performing three-dimensional modeling on curved-surface foam and uniformly dividing the curved-surface foam into a plurality of small foam blocks; s2, the foam blank is clamped and fixed to a platform with a groove; s3, the foam blank is machined into small foam blocks through a three-axis machine tool; and S4, splicing and assembling the processed small foam blocks to obtain the complete curved-surface foam. The machining device has the effect of achieving high-profile-precision machining of large curved-surface foam.

The utility model relates to a steel structure plant with an electric folding roof, and belongs to the technical field of industrial buildings. Comprising a three-dimensional truss structure formed by double rows of stand columns, inclined supports and transverse connecting pieces, sliding rails, guide wheel sets, a four-bar mechanism and a movable roof are arranged on the stand columns, fixed roofs are arranged at the ends of the stand columns, and a storage frame used for folding and storing the movable roofs is arranged below the fixed roofs. The adjacent movable roofs are connected through hinge shafts and cables, move under driving of the movable motor driving units and are longitudinally folded on the storage frame to be stored under driving of the folding motor driving units. And the mobile motor driving unit and the folding motor driving unit respectively realize remote wireless control through a control system. A sealing unit is arranged between every two adjacent movable roofs to form a drainage channel. And the movable roof is provided with a quick-assembly interface, so that other functional roof modules can be replaced conveniently. The problems that the space of a steel structure plant is solidified and the steel structure plant cannot adapt to diversified industrial scenes are solved.

The application discloses a kind of diabetic sarcopenia patient rehabilitation training device, including fixed module, training module, blood glucose monitoring module and controller.Fixed module is detachably installed at the tail of sickbed;Training module includes two side-by-side guiding carriages and the footrest slider sliding along it, the angle of guiding carriage is adjustable and is equipped with electromagnetic resistance adjusting mechanism, and the distance between two training modules is adjustable;Blood glucose monitoring module includes the abdominal belt wound on the abdomen of patient and the blood glucose sensor arranged on it;Controller is connected with each adjusting mechanism and blood glucose sensor respectively, and automatically adjusts the size of resistance according to blood glucose reading.The present application realizes the bedside lower limb rehabilitation training of bedridden patient, ensures the training safety through blood glucose-resistance intelligent linkage, and can adapt to the needs of patients of different body types and different rehabilitation stages.

The application relates to the field of wind power prediction, and discloses a wind power prediction method and system based on DIRMO and a differentiated target function. In order to solve the defects that a single model is used for prediction in the existing multi-step power prediction, time series modeling and feature processing cannot be simultaneously considered, the prediction accuracy is reduced, the model robustness is insufficient, and the search efficiency is low, the power and wind speed data after preprocessing are denoised, normalized and feature-extracted to obtain multi-scale features; the normalized power and wind speed data are subjected to time series modeling to generate a preliminary prediction result in the future; the multi-step prediction task is divided into several groups, and a multi-output problem is converted into a single-output problem for training and prediction; the hyperparameters of a LightGBM model are automatically optimized, the optimized hyperparameters are used for training the LightGBM models of the groups, and the final power prediction is carried out based on the preliminary prediction result of the GRU and the multi-scale features. The application is mainly used for predicting wind power.

The application discloses a WUPyV infection model and a construction method and application thereof, and the construction method comprises the following steps: (1) culturing proximal differentiated lung organoids; (2) removing collagen from the lung organoids to prepare lung organoid ball suspension, mixing the lung organoid ball suspension with a WUPyV sample, and co-incubating and infecting; and (3) re-embedding the lung organoids in basement glue after infection, and continuing to culture in a basic culture medium to obtain the WUPyV infection model. The WUPyV infection model is constructed by using three-dimensional human lung organoids, WUPyV can be separated and cultured, the infection process of WUPyV in human lung organs can be better simulated and characterized, and a new infection model is provided for WUPyV infection pathogenesis and body innate immune response mechanism and interaction between viruses and host cells.

The application discloses a method, device, equipment and medium for determining anisotropic rock horizontal principal stress. The method comprises the following steps: obtaining the volume density of a core and the velocity information of at least one coring sample; determining a rigidity coefficient according to the volume density of the core and the velocity information of the at least one coring sample; and determining the anisotropic rock horizontal principal stress according to the rigidity coefficient, the pre-calculated overburden pressure and the strain information measured based on the differential strain experiment. The method solves the limitation problem of the differential strain method, can more accurately evaluate the horizontal principal stress, and is beneficial to providing effective parameters for oil and gas enrichment distribution, hydraulic fracturing, wellbore stability analysis and the like.

The present application belongs to the technical field of digital publication processing, and provides a multi-modal PDF content purification and intelligent proofreading system and method based on visual perception enhancement, which comprises a visual perception module, a semantic understanding module and an intelligent decision module; the visual perception module eliminates physical layer interference by generating multi-resolution images, extracting fine structure features and locating invisible characters; the semantic understanding module constructs a knowledge graph and a DST-Transformer model to realize character recognition, semantic coding and image-text association repair; the intelligent decision module outputs a purified document through weighted confidence calculation, dynamic threshold adjustment and cross-platform verification; the method corresponds to the three module steps, realizes full-process processing from physical layer analysis to logical layer reconstruction and then to intelligent output, improves the PDF content purification accuracy and cross-platform compatibility, and is suitable for electronic document deep purification and proofreading.

The utility model relates to the technical field of doors and windows, in particular to a heat insulation type aluminum alloy door and window which comprises an aluminum alloy door and window assembly, a driving assembly is installed on the inner side of the aluminum alloy door and window assembly, a heat insulation assembly is fixedly connected to the inner side of the driving assembly, and the driving assembly comprises a servo motor. The heat insulation assembly comprises a pull rope, heat insulation cloth is fixedly connected to the upper end of the pull rope, a light hole is formed in the inner side of the heat insulation cloth, a second shaft column is fixedly connected to the upper end of the heat insulation cloth, and the second shaft column is fixedly connected to the lower end of the heat insulation cloth. According to the multifunctional sunshade cloth, flexible adjustment of heat insulation and light transmission is achieved, different environment requirements are met, the use experience is improved, and the limitation of traditional sunshade cloth is solved.

This invention relates to the field of cable operation and maintenance, aiming to solve the problems of traditional cable insulation assessment neglecting multi-factor coupling and low accuracy of lifespan prediction, and to provide a precise early warning system. This invention includes modules for data acquisition, improved multi-dimensional coupled aging assessment, optimized lifespan decay prediction, early warning output, and data storage. It collects multi-dimensional electrical and environmental parameters through sensors, quantifies the aging level through coupled modeling and dynamic weight calculation, predicts the remaining lifespan based on an improved Arrhenius model and time-series residual correction, and outputs three levels of early warning through multiple channels. This invention improves the accuracy of aging assessment and lifespan prediction, supports cable operation and maintenance decisions, reduces fault risks, and is applicable to power system cable insulation condition monitoring scenarios.

The application discloses a robot falling self-recovery method and device, and relates to the technical field of robots. The method comprises the following steps: detecting the current posture of the robot; in the case that the current posture meets preset conditions, determining the current parameter sequence of the robot according to the current posture, and obtaining the preset parameter sequence of the robot; inputting the current parameter sequence and the preset parameter sequence into a falling recovery model to output a self-recovery strategy of the robot, wherein the falling recovery model is obtained through pre-training by means of imitation learning and reinforcement learning; and executing the self-recovery strategy to make the robot recover to a standing posture, so that the problem that the existing traditional robot falling recovery method has obvious limitations is solved, and the autonomous, stable, robust and human-like falling recovery capability of the humanoid robot is improved.

The embodiment of the invention provides a service method and device, equipment, a storage medium and a program product, and relates to the field of big data. The method comprises the steps of obtaining a query text of a user and determining a corresponding first query vector; corresponding query result information is determined in a multi-modal database according to the first query vector, the multi-modal database comprises a vector database constructed according to vectors corresponding to the unstructured data and a knowledge fragment library constructed according to the structured data, and the query result information comprises result vectors and result knowledge fragments; according to the query result information and historical query information, corresponding first reply information is generated through a natural language generation model, and the historical query information comprises a query text. According to the method, the capability of processing complex interaction is improved.

The utility model provides waste gas purification equipment for a water treatment agent production workshop, which relates to the field of waste gas purification, and comprises a supporting mechanism, and the top end surface of the supporting mechanism is fixedly connected with two longitudinally arranged bracket assemblies in a linear array; the problems that when existing waste gas purification equipment treats waste gas of a water treatment agent production workshop, many defects exist, part of equipment is low in purification efficiency, and various pollutants in the waste gas cannot be thoroughly removed are solved, a first traction piece and a second traction piece drive a first moving piece and a second moving piece to move correspondingly, the positions of all parts are conveniently adjusted, and the practicability is high. The device can be easily maintained and overhauled without an external crane, the operation and maintenance difficulty is greatly reduced, meanwhile, the connection mode of all the components is simple and clear, for example, the liquid inlet pipe is connected with an external device through a flange plate, installation and disassembly are convenient, the operation cost is effectively reduced, and the limitation problem existing in existing equipment is solved.

The invention discloses a screw conveyer adopting a reinforced shaftless screw blade, and relates to a screw conveyer. The spiral conveyor is provided with a barrel, a spiral blade is arranged in the barrel, the front end of the barrel is connected with a driver, the front end of the barrel is further provided with a feeding port, the rear end of the barrel is provided with a discharging port, and the spiral conveyor is characterized in that the spiral blade in the barrel is a reinforced shaftless spiral blade, the input end of the reinforced shaftless spiral blade is connected with the driver, and the output end of the reinforced shaftless spiral blade is connected with the discharging port. The output end of the reinforced shaftless spiral blade is connected with a coupler on the cylinder body, the reinforced shaftless spiral blade is provided with a reinforcing rib on a spiral blade of the shaftless spiral blade, and the reinforcing rib is a through rib or a short rib or a combination of the through rib and the short rib. The spiral conveyor has the advantages that various types of materials can be conveyed, and the conveying capacity is high; the deformation of the spiral blade during working is small; materials can be automatically stir-fried in the working process; scales on the spiral blade and the barrel or the inner wall of the pipeline are less; the friction wear of the spiral blade is small, and the service life is long; the popularization value is realized.

This invention discloses a crop planting management method based on a deep learning agent model. It relates to the field of crop planting management technology and includes: acquiring crop parameters, soil parameters, and meteorological parameters and performing sensitivity analysis; calibrating a crop growth model based on the sensitivity analysis results to obtain optimal variety parameters; constructing various agricultural planting management scenarios and multi-objective optimization problems; simulating crop growth using the optimal variety parameters to obtain the Pareto optimal solution set of the management scheme; constructing a dataset using the input and output parameters of the calibrated crop model and training a deep learning agent model; and designing the TSPO-SU assimilation algorithm based on the trained deep learning agent model to assimilate remote sensing data with the deep learning agent model, inverting the environmental parameters of crop growth, and obtaining a refined planting management strategy. This invention can efficiently generate large-scale, refined, and dynamically adjustable crop planting management decision schemes.

The utility model belongs to the technical field of house building construction equipment, and discloses gravel screening equipment for house building construction, which comprises a support frame, a rectangular plate is movably connected to the top of the support frame, a screening box is fixedly sleeved in the rectangular plate, a first screen mesh plate is fixedly mounted in the screening box, and a second screen mesh plate is fixedly mounted in the first screen mesh plate. A second screen plate is movably connected into the first screen plate in a sleeved mode, and a driving motor is fixedly connected to the front face of the screening box. Through the arrangement of the second screen plate, the driving motor, the rotating rod, the circular shaft and the connecting block, when the driving motor operates, the rotating shaft can drive the rotating rod to rotate, then the rotating rod rotates to drive the circular shaft and the connecting block to move leftwards, and therefore the second screen plate moves leftwards to reduce the hole diameter; the purpose of screening gravel with different particle sizes is achieved, the problem that use limitation exists in screening equipment is solved, and the application range of the screening equipment is widened.

The application discloses a chip visual data reasoning capability test method and electronic equipment, and relates to the technical field of chip testing. The method comprises the following steps: processing visual original data sets based on a data arrangement mechanism to obtain visual test data sets, solving the one-sidedness and limitations of single data types and single data formats on the calibration chip capability, and helping to scientifically and comprehensively evaluate the to-be-tested chip; testing the to-be-tested chip according to a preset test model set to obtain an output result set, solving the one-sidedness and limitations of a single test model on the calibration chip capability, and helping to scientifically and comprehensively evaluate the to-be-tested chip; and judging the effectiveness of the output result set according to a monitoring result set, thereby improving the accuracy of the visual test result, and enabling the visual test result to accurately represent the visual data reasoning capability of the to-be-tested chip.

A multi-point array detection system for radioactive waste liquid surface contamination is used to monitor radioactive contamination on the surface of radioactive waste liquid storage tanks. It includes a main frame, a movement control device, detectors, and a host computer. The main frame has multiple mounting holes arranged in a planar array. The movement control device controls the main frame to move closer to or further away from the surface of the radioactive waste liquid storage tank, and to move into or out of the area above the surface. Multiple detectors are installed in the mounting holes of the main frame, with all detectors facing the surface of the radioactive waste liquid storage tank. The host computer is used to adjust the parameters of the CMOS sensors, and to store, display, analyze, and process frame images. This invention, through a detachable array of detectors arranged in a planar array, can cover the entire surface area of ​​the radioactive waste liquid storage tank in one measurement, obtaining a panoramic view of the contamination distribution in a single measurement, reducing the time required for point-by-point detection from several hours to just minutes.

The application discloses a kind of glasses convenient to disassemble, belong to glasses technical field, this glasses convenient to disassemble include glasses frame, the nose support of setting in the middle position of the glasses frame and the mirror leg of symmetrical setting at the both sides edge of the glasses frame, further include the magnetic quick-release structure of setting between the nose support and glasses frame;The magnetic quick-release structure includes the card slot of opening in the corresponding nose support position of the glasses frame, the magnet piece of fixed installation in the card slot, the magnetic attraction block of inserting in the card slot and with the magnet piece magnetic attraction and the connecting frame of fixed connection in the magnetic attraction block far from the one side of card slot.This glasses convenient to disassemble can realize the convenient disassembly of nose support and glasses frame by setting magnetic quick-release structure, so that only need to exert external force when disassembling can be separated, both solve the problem that traditional integration fixed causes nose support damage needs to replace glasses frame as a whole, also avoid the disadvantages that screw connection needs special tool, easy to slip silk and jam, let user can complete nose support replacement by hand easily.

The invention relates to the technical field of artificial intelligence, and discloses an equipment software and hardware upgrading management method and device, equipment and a medium, and the method comprises the steps: generating an initial software upgrading strategy according to software and hardware parameter information of to-be-upgraded equipment, and adjusting the initial software upgrading strategy according to a power consumption log of each to-be-upgraded equipment, selecting partial equipment in the to-be-upgraded equipment as test equipment on the basis of a preset proportion parameter, acquiring running state data of the test equipment after upgrading on the basis of the adjusted software upgrading strategy, judging whether the running state data meets a running standard or not, and if yes, updating the to-be-upgraded equipment according to the running standard. If yes, software upgrading is carried out on all the to-be-upgraded devices according to the adjusted upgrading strategy, if not, a hardware upgrading strategy of the to-be-upgraded devices is generated according to the adjusted upgrading strategy, hardware upgrading is carried out on all the to-be-upgraded devices based on the hardware upgrading strategy, and the adaptability of the software and hardware upgrading strategy is improved.

This invention relates to a sulfur dioxide detection device and method applicable to blast furnace gas before and after fine desulfurization. The detection device includes a pre-desulfurization gas control component, a post-desulfurization gas control component, a blast furnace gas combustion device, and SO2 and O2 detection devices. The detection method includes steps such as preheating the combustion device, igniting and burning the pre-desulfurization blast furnace gas and air, detecting the pre-desulfurization gas combustion gas, switching to combustion of post-desulfurization gas, detecting the post-desulfurization gas combustion gas, and performing result analysis and comparison. By specifically configuring the device and setting each step, continuous switching combustion is achieved to separately measure the sulfur dioxide content of the combustion gas, thereby enabling real-time monitoring of the desulfurization results of the fine desulfurization device and real-time prediction of different combustion conditions at the user end, greatly improving the monitoring effect of the fine desulfurization device.

This invention relates to the field of smart space operation and maintenance technology, and discloses a smart space operation and maintenance optimization method and device based on data elements. The method includes: collecting operational data from IoT terminals, edge nodes, and a cloud platform within the smart space, and fusing the operational data to obtain fused data; identifying and encrypting sensitive information in the fused data to obtain encrypted data; inputting the encrypted data into the local models of each edge node to extract device operational features, and integrating the device operational feature set in a cloud aggregation server; identifying anomalies based on the device operational feature set to obtain device abnormal status information; and conducting anomaly cause tracing analysis based on the device abnormal status information to obtain a smart space abnormal situation report. This invention provides operation and maintenance personnel with an interpretable anomaly analysis path and a comprehensive situational awareness report, significantly improving fault handling efficiency and realizing intelligent operation and maintenance management of smart spaces.

The invention belongs to the field of nonlinear material mechanics, and relates to a method for constructing a rubber material hyperelastic constitutive model, which comprises the following steps of: deducing to obtain a strain energy function with a non-integer power strain invariant; adopting a quasi-static stretching super-elastic constitutive test to obtain stress-strain test data; according to the function and test data, fitting to obtain material parameters of the non-integer power strain invariant strain energy function; the strain energy function is written into finite element software, and material parameters of a Neo-Hookean model are fitted according to obtained test data; and establishing a single-unit three-dimensional model, performing finite element simulation by using the obtained material parameters to obtain a finite element stress-strain simulation result, and comparing the simulation result with test data. According to the method, parameter fitting is carried out by adopting the relationship between the modulus and the strain, the strain energy function with non-integer power strain invariants is obtained through derivation, and the flexibility and accuracy of data fitting are improved.

The application provides a subcarrier-based unmanned aerial vehicle-borne GNSS-R sea surface height measurement method, and belongs to the technical field of satellite navigation and remote sensing height measurement. The method simultaneously receives direct signals and sea surface reflected signals of a global navigation satellite system (GNSS) on an unmanned aerial vehicle platform, performs double-frequency joint tracking processing on the direct signals to eliminate phase inconsistency errors introduced by independent tracking; on this basis, interference processing is performed on the direct signals and the reflected signals, a virtual subcarrier interference signal is constructed, high-frequency error components are suppressed through long-time coherent integration processing, and a continuous and stable virtual subcarrier interference phase is obtained; further, the geometric relationship among GNSS satellites, the unmanned aerial vehicle platform and the sea surface is combined to realize the inversion calculation of the sea surface height change. The method can effectively improve the precision and stability of GNSS-R sea surface height measurement in the unmanned aerial vehicle-borne dynamic environment, has the advantages of clear processing flow, strong noise resistance and suitability for implementation on a low-cost unmanned aerial vehicle platform.