63results about How to "Implementation status" patented technology

The utility model discloses a sensing type emulsion driving system which comprises a box body arranged in a mine, a driving mechanism used for forming an emulsion driving structure, a lubricating mechanism used for forming a lubricating oil distribution structure and a monitoring mechanism used for forming a combined monitoring structure, the driving mechanism is arranged on one side of the interior of the box body, the lubricating mechanism is assembled on one side, far away from the driving mechanism, of the interior of the box body, and the monitoring mechanism is arranged on the driving mechanism and the lubricating mechanism. The lubricating system is guaranteed to run stably, the use safety of the lubricating system is guaranteed, automatic lubrication on multiple devices at fixed time, fixed point and fixed quantity is achieved, a monitoring mechanism is arranged, and a pressure sensor, a weighing sensor, a grease sensor and a proximity switch are matched to detect the residual amount of lubricating grease and the working state of the lubricating system in real time, so that the working efficiency is improved. And potential safety hazards are reduced.

A kind of department operational performance data real-time display and target dynamic benchmarking method and device belong to hospital management information technology field, to solve department operational performance data display lag, target adjustment after benchmarking state update not timely and early warning index detailed positioning efficiency low problem, the present application is by periodically obtaining department operational raw data, generates department operational index data, multi-benchmarking result, dashboard display data and early warning judgment result, and after receiving adjusted target value, corresponding benchmarking, early warning and display data are regenerated, can improve the continuity of department operational index display, target dynamic benchmarking and detailed data query, it is suitable for hospital department operational performance data display, target benchmarking, index early warning and detailed query etc. field.

This utility model discloses a data processing board for trackside equipment, belonging to the technical field of subway trackside equipment. It includes a data processing module, a soft-start output module, a power-down voltage monitoring module, an RTC real-time clock module with a first energy storage capacitor, a power supply module with a second energy storage capacitor, and a data interface module. The data processing module is electrically connected to the other modules. The power supply module provides the operating voltage to the board, and its second energy storage capacitor temporarily supplies power to the data processing module during brief external power outages to record the voltage status data at the moment of power failure. The first energy storage capacitor of the RTC real-time clock module maintains clock operation for a preset duration after power failure. This utility model solves the problems of easy data loss and clock failure during power failures in traditional boards. It features high structural integration, stable operation, and accurate recording of power-down fault conditions, meeting the data continuity requirements of subway trackside equipment.

The application discloses an industrial robot predictive maintenance system based on machine learning, and relates to the technical field of industrial robot maintenance.The application comprises a data acquisition module, a preprocessing module, a feature engineering module, a hybrid prediction model unit, a meta-learning and field adaptation module, a federal learning coordination module, a digital twin sample generation module and a dynamic decision engine unit.The application has the following advantages: through the collaborative mechanism of the meta-learning and field adaptation module, a model-agnostic meta-learning algorithm is used to train a cross-brand general feature extractor;different brand data distributions are confused by combining an adversarial field adaptation network;the "data gap" caused by the definition of sensor parameters and the difference in sampling frequency in traditional modeling is broken through;the model is collaboratively trained under the premise that the data of each brand is not out of the local;the global model containing the commonness of cross-brand faults is generated;and the "data island" problem caused by commercial security requirements in the industrial scene is solved.

The utility model provides a vehicle-mounted charger with a replaceable billboard, and belongs to the technical field of vehicle-mounted charging equipment. The vehicle-mounted charger comprises a power taking module; one end of the spring wire is connected with the output end of the power taking module; a vehicle-mounted support; the input end of the charging module is connected with the other end of the spring wire, and the charging module is mounted on the vehicle-mounted bracket; one end of the charging wire is provided with a first charging interface and a second charging interface, and the other end of the charging wire is connected with the output end of the charging module; the charging module comprises a lower shell, an upper shell, a charging mainboard, a loudspeaker, a human body sensor, a switch button, a two-dimensional code support, a two-dimensional code board and an advertising board. The vehicle-mounted charger has the advantage that the functionality of the vehicle-mounted charger is greatly improved.

The utility model relates to the technical field of intelligent logistics and cooperative scheduling control, and particularly provides an intelligent logistics transfer device. The device comprises a transferring device, a swing arm structure, a grabbing mechanism and an intelligent cooperative scheduling module. The system integrally supports task state feedback, path obstacle avoidance and cluster scheduling execution, is suitable for flexible storage, intelligent carrying and multi-target material circulation scenes, and has the remarkable technical advantages of intelligent control, path optimization, task collaboration and the like.

The invention provides a bridge quasi-static influence surface determination method and device, a terminal and a medium. The method comprises the following steps: acquiring bridge floor vehicle passing video data and deflection response data; according to the bridge deck vehicle passing video data and the deflection response data, obtaining a bridge driving vehicle type, a historical vehicle structure response data set and current vehicle structure response data; self-adaptive grid division is carried out on the bridge floor area through the historical vehicle structure response data set, and self-adaptive grid node information is obtained; obtaining an influence surface recognition model according to the bridge driving vehicle type, the grid discretization method, the adaptive grid node information and the historical vehicle structure response data set; and inputting the current vehicle structure response data into the influence surface recognition model to obtain a current bridge quasi-static influence surface. The non-contact, low-cost, high-precision and dynamic tracking bridge influence surface change without traffic interruption is realized, and data support is provided for long-term tracking and service performance evaluation of a bridge structure state.

The application relates to the field of power equipment installation operation, and aims at the problem of multi-source heterogeneous perception data fusion and automatic path replanning under environmental mutation, and provides a power equipment installation adaptive adjustment method based on digital twinning. The method collects multi-source data through a laser radar, an IMU, vision and environment sensors, realizes fusion modeling of nodes, relations and states through space-time alignment and semantic topological structuring, further compares historical versions through a directed acyclic graph, extracts a minimum change set, combines a cause-effect chain to lock an affected path, replans a path under engineering rule constraints for a local dynamic topological subgraph, generates an executable adjustment instruction set according to the path, drives an execution mechanism to complete function correction, and realizes adaptive closed-loop control of perception-decision-execution. The scheme improves the environmental adaptability, response speed and operation safety of power equipment installation.

The invention discloses a rare earth magnesium alloy wire material electroplastic roller breaking early warning and alarming device for electric arc additive materials. The device comprises a closed box body, a sliding guide rail module, a multi-dimensional detection module, a main control unit and a sound-light alarming assembly. The sliding guide rail module adopts a modular design and can flexibly adjust the position of the sensor; the multi-dimensional detection module collects wire operation parameters in real time, and the main control unit analyzes data through a multi-source information fusion algorithm and accurately recognizes wire breakage and potential risks. The device has high sensitivity and high reliability, can realize wire breakage early warning and instant alarm shutdown, effectively reduces material waste and equipment damage, improves the stability and automation level of the magnesium alloy wire electroplastic roller drawing process, and provides high-quality wire guarantee for electric arc additive manufacturing.

This invention belongs to the field of multi-agent cooperative intelligent control technology, specifically relating to a multi-manipulator cooperative control method for unknown disturbances. The method includes: establishing a dynamic model of a strictly feedback nonlinear multi-manipulator cooperative system; constructing the system's communication topology through a virtual coupling mechanism; building a unified system cooperative error model; introducing a preset time function and a globally preset performance function to map errors to an adjustable constraint performance space, ensuring dynamic convergence of all error signals within the user-defined performance range; designing task-level shape control forces and pose control forces within a distributed gradient descent framework to construct an overall task-level control force, driving the multi-manipulators to move cooperatively and maintain a stable formation in the task space; and designing a joint-level distributed adaptive control law under unknown disturbances using the passive characteristics of the nonlinear system. This invention enables multi-manipulator systems to achieve cooperative convergence and stable control within a preset time under unknown disturbances.

The invention relates to the technical field of municipal safety, discloses a telescopic embedded displacement monitoring sensor, and realizes comprehensive improvement of the performance of the displacement monitoring sensor through innovative design. The elastic force adjustable mechanism prevents the sensing string wire from being stressed for a long time, and the graphite clamping piece and the protective corrugated pipe are combined, so that the long-term stability and durability are remarkably improved. The integrated excitation-sensing design and the displacement amplification mechanism greatly improve the monitoring sensitivity and the signal-to-noise ratio. The sensor has an initial spacing adjusting capability, supports rapid replacement of the string wire, and is good in installation adaptability and simple and convenient to maintain. And meanwhile, intelligent monitoring and state self-diagnosis are realized through remote controllable excitation and self-adaptive tension maintenance. The whole structure is firm and reliable, and an embedded monitoring solution which is high in precision, high in reliability and easy to maintain is provided for the safety of municipal infrastructures.

The utility model relates to the technical field of aromatherapy machines, in particular to an intelligent aromatherapy machine which comprises a shell, a partition plate is arranged in the shell and divides the interior of the shell into an equipment cavity and a placing cavity, a controller is installed in the equipment cavity, the controller is in signal connection with an air pump and a communication module, and a touch screen and a light bar which are installed on the side wall of the shell. And the shell is also provided with an adjustable handle mechanism. Compared with the prior art, the aromatherapy machine has the advantages that a user can conveniently regulate and control various functions of the aromatherapy machine through the built-in controller and the built-in touch screen, use convenience and personalized experience are greatly improved, the aromatherapy machine can be connected with an intelligent device supporting a corresponding communication protocol due to the fact that the communication module is added, and the aromatherapy machine is convenient to use. According to the aromatherapy device, remote control or state monitoring is achieved, the intelligent experience is further enhanced, the aromatherapy bottle limiting mechanism is used, it is ensured that the aromatherapy bottle is stably placed in the aromatherapy process, and potential safety hazards caused by shaking or toppling over are avoided.

The invention provides a boiler device for waste heat recovery, which relates to the field of waste heat recovery and comprises a boiler body, and a tube bundle heat exchange mechanism and a rotary heat tube mechanism which are connected in sequence. The tube bundle heat exchange mechanism is provided with a first tube bundle arranged in the flue gas channel; a smoke inlet of the rotating heat pipe mechanism is communicated with a smoke outlet of the pipe bundle heat exchange mechanism, and a rotating shaft with a second pipe bundle and a built-in heat pipe is arranged in the rotating heat pipe mechanism. And the flue gas backflow mechanism communicates the flue gas outlet of the rotary heat pipe mechanism with the hearth through a backflow pipeline and a fan. The self-cleaning mechanism comprises a flow guide plate arranged on the inner wall of the shell, a scraping plate which is fixed on the rotating shaft and is in contact with the flow guide plate, and an ash bucket at the bottom. Efficient and lasting waste heat recovery is achieved through heat exchange combination of the rotary heat pipe and the pipe bundle; the self-cleaning mechanism automatically removes dust; the flue gas backflow mechanism regulates and controls low-temperature flue gas to return to the hearth, and deep energy recovery is achieved. The system integrates monitoring and safety mechanisms, operation controllability and stability are guaranteed, and the heat efficiency of the boiler is integrally improved.

The invention discloses photovoltaic energy storage equipment, and relates to the technical field of new energy. The front ventilation assembly is arranged on the front side in the box body; the rear ventilation assembly is arranged on the rear side in the box body; according to the ventilation requirement, the interior of the box body is in an air circulation phenomenon, and heat is dissipated, so that an internal system is protected.

A kind of factory rule management platform belongs to industrial internet of things technical field.It includes: process thing model modeling module, process thing model download module, equipment event reporting process module, process database management module, process thing model read-write module, process rule execution module, process database synchronization module.The advantage is that the related tasks and events in process are mapped as method and event of thing model, and factory thing model and original equipment thing model are combined, business event processing is realized by combining rule engine, the processing logic and fast calculation of original business data deployed in cloud can be realized in edge and uploaded to cloud, the communication amount of cloud is reduced, and the use of rule engine can realize customization of process execution on the basis of guaranteeing flexibility of business system, reduce redundant development, and can flexibly meet the change of business demand.

The application provides a hydrogen catalytic combustion process for co-production of water vapor and nitrogen. The application also provides a hydrogen catalytic combustion device for co-production of water vapor and nitrogen. The hydrogen catalytic combustion process and device provided by the application have the advantages of simple process, high energy efficiency, co-production of water vapor and nitrogen, low device investment, high automation degree, low operation cost, high safety and the like compared with traditional multi-stage hydrogen catalytic combustion process and device, and are particularly suitable for popularization and application in industrial scenes with hydrogen source, water vapor and nitrogen, and have good economic and social benefits.

The invention belongs to the technical field of offshore wind power foundation engineering tests, and discloses a multifunctional indoor piling test device for offshore wind power steel pipe piles, which realizes indoor simulation and contrast tests of various steel pipe pile sinking modes by arranging a static pressure pile sinking device, an excitation pile sinking device and a power piling device on the same test platform. The systematicness and comparability of the test are improved; through structural cooperation of the support sliding rail and the equipment sliding rail, overall displacement of a test area is achieved, and resetting of soil body conditions and repeated testing are facilitated; a displacement sensor, a pressure sensor and an acceleration sensor are integrated in a pile cap, the displacement change, the stress state and the dynamic response in the pile sinking process of the steel pipe pile are synchronously monitored, and a reliable data basis is provided for pile sinking mechanism analysis and key parameter research; through the synergistic effect of the servo control system and the information acquisition system, controllable loading and state dynamic correction in the pile sinking process are achieved, and the stability and controllability of the test process and the reliability of the result are enhanced.

This invention discloses a data management and control system and method for fermentation production process based on sensor data analysis, belonging to the field of intelligent data management and control technology. The invention collects multimodal sensor data and extracts process characteristic parameters, calculates the correlation coefficients between these parameters, and constructs a real-time correlation matrix. Based on the fermentation production time, the current fermentation production stage is determined. The real-time correlation matrix is ​​compared with a standard correlation matrix to obtain the correlation structure difference. When the correlation structure difference exceeds a preset difference threshold, the current process state is identified. The current process state is compared with the standard process state to obtain the state difference result, and a control strategy is selected and executed accordingly. The degree of convergence of the real-time correlation matrix to the standard correlation matrix during the control process is monitored, and the control intensity is adjusted. When the correlation structure difference is less than a preset recovery threshold, the control operation is stopped.

This invention discloses a cable condition assessment method based on a fault arc model, belonging to the field of power equipment condition monitoring and fault diagnosis technology. The method includes the following steps: S1: Real-time monitoring of the electrical signals of the target cable, capturing and recording the original waveform data within a preset time window before and after the occurrence of a fault arc; S2: Preprocessing the original waveform data and extracting a multi-dimensional feature parameter set to characterize the arc characteristics and cable condition; S3: Inputting the multi-dimensional feature parameter set into a pre-trained cable condition assessment model; S4: Generating a current condition assessment result and maintenance recommendations for the target cable based on the output of the cable condition assessment model. This invention, through multi-dimensional intelligent analysis of fault arc signals, transforms arc events from a single fault indication into a dynamic indicator for assessing the health of cable insulation, achieving accurate diagnosis and trend prediction of cable condition.

The application provides a wind turbine support structure modal parameter identification method, acceleration data of the support structure is acquired through a vibration data acquisition system, a modal parameter identification algorithm composed of a random subspace method, a clustering method and a modal vibration mode denoising method is used to accurately extract modal parameters such as vibration frequency, damping ratio and modal vibration mode of the support structure, a prediction model between environmental parameters, operating parameters and modal parameters is constructed, and a support structure health state evaluation and early warning and correction of the prediction model are realized by using an artificial intelligence edge computing box. Finally, the operation strategy of the wind turbine and the frequency of the damping tuning vibration reduction system are adjusted in time through an operation control system, so that the safe operation of the support structure is ensured.

The application discloses a turnover plate milling vertical-horizontal conversion feeding and discharging system, which comprises buffer tools, conveying tools, vertical-horizontal turnover tools, exchange workbench assemblies and transition frame assemblies. Two buffer tools are arranged on the two sides of the vertical-horizontal turnover tools, each buffer tool is provided with a conveying tool, each conveying tool is provided with an exchange workbench assembly, and the transition frame assembly is arranged at one end of the vertical-horizontal turnover tools and connected with the exchange workbench assemblies. Through the application of the application, the turnover plate milling vertical-horizontal conversion feeding and discharging system is provided. When one exchange workbench assembly carries a workpiece for machining, the other exchange workbench assembly can synchronously carry out workpiece loading and unloading, so that the gap time of workpiece machining can be effectively utilized, the production cycle is shortened, and the efficiency of batch production is improved.

The utility model discloses a pneumatic lifting vibration platform for track slab production, including support frame, roller way wheel and support plate, the support frame upper end is provided with industrial air bag and roller way wheel, industrial air bag is connected with outside gas source, the roller way wheel is connected through transmission assembly to realize the transportation to the vibration mould, the industrial air bag upper end is fixedly provided with support plate, the support plate is provided with the avoidance groove to roller way wheel, the roller way wheel sets up in avoidance groove, the support plate bottom is provided with the vibration motor, and the vibration mould sets up support plate top, the utility model discloses a pneumatic lifting structure, compared with traditional vibration platform, and vibration transmission efficiency is higher, and the energy loss in the vibration process is smaller, can make the concrete faster vibration forming, improves production efficiency, and service life is longer, and the noise is smaller.

This utility model discloses an automatic testing device for UV curing lamp holder circuit boards, including a testing board and a switching power supply. The testing board is equipped with a CAN communication bus that is electrically connected to and exchanges data with the lamp holder circuit board. The testing board is connected to and controls an air intake fan, UV lamp beads, and a resistance switching output module. The switching power supply provides DC power to the testing board and the lamp holder circuit board. This utility model provides test conditions and acquires test data for the lamp holder circuit board through the air intake fan, UV lamp beads, and resistance switching output module, thus eliminating the need to assemble the lamp holder circuit board into a lamp holder for actual testing, thereby improving the efficiency of lamp holder circuit board testing.

The invention relates to a database technology, in particular to a password updating method, a product, a medium and equipment. The method comprises the steps that a first agent node responds to a password updating request of a target user and sends a pre-updating notification to a second agent node through a remote warehouse; the second agent node exchanges the new password of the target user with the first agent node based on the authentication information of the target user as a standby password; after it is confirmed that all the second agent nodes are exchanged, the first agent node executes password updating operation; and when the second agent node is connected with the storage node, replacing the password of the target user by adopting a preset password trial and error mechanism. According to the password updating method, the password is updated after secure exchange, seamless replacement of the password is realized through a trial and error mechanism, smooth switching of actual password states of each agent node and the storage node in the password updating process is realized, service unavailability caused by password failure is avoided, and the password updating efficiency is improved. And the high availability of the distributed database cluster is ensured.

The invention relates to the technical field of anchor cable structures, and discloses an ultrahigh-pressure grouting anchor cable structure which comprises an anchor cable, a primary grouting pipe and a secondary grouting pipe for ultrahigh-pressure supplementary grouting, and the withstand pressure value of the secondary grouting pipe is not lower than 30 MPa; the secondary grouting pipe is provided with a closed end, the closed end is provided with an inner end opening which is arranged in a closed mode, and the outer end of the secondary grouting pipe is provided with a check valve which limits grout from flowing back outwards. The secondary grouting pipe is provided with an inner section, a plurality of grouting holes are formed in the inner section, and the grouting holes are covered with the elastic structures. When the grouting pressure is larger than a set pressure value, the elastic structure elastically deforms outwards, and the grouting hole is in an open state; when the grouting pressure is smaller than a set pressure value, the elastic structure seals the grouting hole, and the grouting hole is in a closed state; the ultrahigh pressure grouting is achieved, the grouting effect is good, the check valve limits grout backflow, the elastic opening or closing state of the grouting hole is achieved through the elastic structure, and the grouting effect can be better improved.

This invention provides a method for predicting and analyzing the fatigue life of wellhead equipment, relating to the field of downhole engineering technology. The method includes the following steps: collecting load spectrum, material degradation, environmental corrosion, and historical maintenance data of the wellhead equipment to establish a four-dimensional damage factor matrix; preprocessing and feature fusion of the aforementioned multi-source data; and constructing a self-attention LSTM network. This invention incorporates four key factors—load spectrum, material degradation, environmental corrosion, and historical maintenance—into a unified analytical framework through the four-dimensional damage factor matrix, solving the problem of the one-sidedness of traditional single-factor analysis. The self-attention LSTM network can automatically learn the attention weights between multi-source data, significantly improving the ability to extract the correlation features of multi-physics parameters under complex service environments. Combined with Monte Carlo simulation to generate fatigue life probability distribution curves, it provides prediction results including confidence intervals, offering a more scientific quantitative basis for equipment maintenance decisions.

The application discloses a lactoferrin freeze-dried powder and a preparation method thereof, and relates to the technical field of food processing and biological products. The preparation method comprises the following steps: placing a lactoferrin solution in a freeze-drying device, supercooling the lactoferrin solution to obtain a supercooled sample; starting a forced freezing program to cool the supercooled sample to below-35 DEG C, and rapidly freezing the supercooled sample for 1-3 hours to obtain a rapidly frozen sample; and sequentially performing sublimation drying and resolution drying on the rapidly frozen sample under vacuum conditions. In the application, supercooling is performed before freezing, the freezing process can be actively and accurately controlled, and the flowability of the lactoferrin freeze-dried powder can be significantly improved by inducing the formation of small and uniform ice crystals; and the method is safe and efficient without the need of adding a flow agent.

The application relates to the technical field of energy storage, and discloses a hybrid energy storage system and method supporting mode switching, which comprises a data acquisition and communication module, an operation state analysis and mode decision module, a switching trajectory planning and cooperative control module, a safety monitoring and dynamic compensation module, a panoramic instruction integration and execution module, and a strategy self-learning and optimization module; target operation mode instructions are generated by inputting comprehensive operation state characteristic data of the system into a pre-trained mode research and judgment neural network model, combining a pre-set hysteresis comparison strategy and a minimum time interval constraint of mode switching, and realizing research and judgment on multiple operation modes such as power smoothing, peak clipping and valley filling, frequency modulation auxiliary services, so that frequent mode switching caused by state fluctuations is avoided; characteristic data, control sequences and safety evaluation data of the whole switching process are recorded to form a history library, and the optimization of the switching strategy is realized.

The application provides a method and device for realizing bidirectional rotation sliding stop, relates to the technical field of mechanical limiting, and comprises a moving plate, a center rotating body base fixedly connected to the upper surface of the moving plate, so that the moving plate can rotate relative to the fixed mechanism with a main shaft, a moving plate fixed pin fixedly connected to the upper side of the moving plate, a torsional spring arranged on the outer side of the moving plate fixed pin, and a first fixed plate fixed pin arranged at the end of the torsional spring away from the moving plate fixed pin. The method and device for realizing bidirectional rotation sliding stop do not need electric control and magnetic control elements, have simple structure and low cost, are suitable for use in flammable and explosive, strong electromagnetic interference or electrically and magnetically free environments, and can meet the bidirectional angle switching and end positioning requirements of different equipment.

This invention provides a method and system for generating and analyzing complex game fields based on multi-agent evolution. It acquires environmental image data and flight status data of each drone in a pre-set drone swarm; constructs a dense environmental map based on the environmental image data and flight status data; calculates the relative distance and angle changes between drones to construct a high-precision relative pose state network; and applies the dense environmental map and the high-precision relative pose state network to map the positional relationships between pre-set dynamic obstacles, preset task objectives, and pre-set friendly drone swarms into potential energy field payoff functions to adjust the flight paths and task allocation strategies of each drone, generating a cooperative evolution game field to achieve equilibrium state analysis of the pre-set drone swarm. This invention enables the autonomous generation and equilibrium state analysis of cooperative game fields in unknown dynamic environments for drone swarms, improving the collaborative decision-making capability and task execution efficiency of swarm systems in complex environments.