40results about How to "Intelligent management" patented technology

The invention discloses an intelligent working place dust monitoring and early warning system. The system comprises a dust sensor module, a data processing and storage module, a wireless communication module, an alarm module and a visual interface. The dust sensor detects the dust concentration in the air in real time, dust with different particle sizes is included, the data processing module carries out concentration calculation, trend analysis and acceleration monitoring, and dynamic threshold adjustment and trend prediction are supported. The system has a multi-stage alarm function, and when the dust concentration reaches a preset threshold value, early warning signals with different intensities are triggered to remind a user to take protective measures in time. The system not only improves the real-time performance and accuracy of dust monitoring, but also has automatic learning and intelligent early warning functions, is suitable for various high-dust environments such as mines, construction sites, workshops and the like, and remarkably improves the safety management level of workplaces.

The invention discloses a campus smart canteen management platform based on AI and IOT. The campus intelligent canteen management platform comprises a global sensing system, an intelligent decision support system, a credible tracing system, a safety and supervision system and a user experience optimization system. The global sensing system is used for collecting multi-modal data and carrying out data fusion and preprocessing on the multi-modal data; the intelligent decision support system is used for performing multifunctional analysis on the fused and preprocessed multi-modal data to obtain a management decision; the credible traceability system is used for recording digital traceability information, storing reserved food samples and detecting pesticide residues in real time; the safety and supervision system is used for providing food reserved sample management, food quality event monitoring and analysis, supervision record management and parent applet functions; and the user experience optimization system is used for providing health inspection, health monitoring and personalized suggestions, identity verification and payment modes. In this way, the overall level of canteen management is improved.

The invention discloses a power cable intelligent segmentation management method and system, and belongs to the field of power supply management, and the method comprises the steps: setting a first time sequence segmentation influence coefficient and a second time sequence segmentation influence coefficient, and building a dynamic decision node; acquiring cable layout information of a to-be-monitored power cable; configuring a backtracking time window, and establishing backtracking basic parameters of the power cable to be monitored; according to the backtracking basic parameters, adaptive analysis of balancing task requirements and balancing climate influences is carried out, and a first clustering constraint is generated based on an adaptive analysis result; and establishing a first clustering constraint according to the cable layout information, establishing a second clustering constraint according to the cable layout information, establishing a dynamic segmentation strategy according to the first clustering constraint, the second clustering constraint and the dynamic decision node, allocating an edge joint early warning network, and executing segmentation management based on the edge joint early warning network. A segmentation strategy is dynamically generated based on multi-dimensional data, precise and intelligent early warning and management of the power cable are realized, and the early warning response speed and accuracy are improved.

The invention relates to a knowledge graph construction method and system for multi-modal cultivated land data. The method comprises the following steps: constructing a cultivated land protection field knowledge system; entities, relations and attributes are extracted and stored in a knowledge graph, corresponding description information is obtained and input into an incomplete multi-modal data fusion algorithm model based on deep semantic matching for data feature fusion, cultivated land data in different modals are mined, the knowledge graph is supplemented and adjusted, and the knowledge graph of the multi-modal cultivated land data is constructed. Entities, relationships and attributes are extracted and stored in the knowledge graph, so that the constructed knowledge graph can be ensured to be more accurate, the coverage field is wider, and the application of the knowledge graph is more diversified and accurate; data feature fusion is carried out in an incomplete multi-modal data fusion algorithm model, so that the heterogeneous problem in the knowledge graph is effectively solved; the cultivated land data in different modes are fully mined, and the knowledge graph can become more powerful in tasks such as self-complementation and intelligent question and answer.

The invention relates to a remote intelligent shore power management system, and belongs to the technical field of shore power management, and the system comprises a data collection module which is used for obtaining the initial data of a shore power system in real time; the edge calculation module is used for cleaning and standardizing the initial data on an edge calculation node to obtain target data; the cloud decision module is used for performing power load prediction on the cloud based on the completely trained long-short term memory network model and the target data to obtain power load prediction data, and generating a regulation and control strategy based on the power load prediction data; and the execution module is used for regulating and controlling the shore power system based on the regulation and control strategy. The demand for transmitting data to the cloud is reduced through the edge computing module, network delay is reduced, parameter prediction and comprehensive analysis of the shore power system are performed through an intelligent algorithm trained in the cloud decision module, real-time data are converted into decision information to regulate and control the system, and efficient, safe and intelligent management is achieved.

The invention relates to the technical field of electric charging and fire-fighting monitoring, in particular to a fire-fighting linkage monitoring system for an electric bicycle charging station and a monitoring method thereof, and the monitoring system comprises the following functional modules: a platform convergence layer, a control analysis layer and a sensing acquisition layer; the system has the advantages that safety is improved, and the risk of fire disasters in the charging process of the electric bicycle is remarkably reduced through a real-time monitoring and quick response mechanism. Once a fire sign is detected, the system can quickly cut off a power supply and start a fire extinguishing program, so that the damage caused by the fire is reduced. Intelligent management: the integrated AI technology enables the fire extinguishing system to intelligently identify and respond to the fire situation, and the management efficiency is improved. And remote monitoring capability: the fire-fighting state of the charging station is allowed to be remotely monitored, and the safety and management efficiency of the charging station are enhanced. And continuous performance optimization: the system has self-learning and updating capabilities, and can continuously optimize fire identification and response strategies.

The invention belongs to the technical field of cable harness manufacturing, and discloses a visual auxiliary manufacturing platform and method for cable assembly, and the platform comprises a station operation platform, a small RFID tool cabinet, a large RFID tool cabinet, a station terminal, a secondary central control terminal, and a code scanner. The station operation platforms are provided with workbenches for cable assembly, the secondary central control terminal is connected with the station terminals of the plurality of station operation platforms, each station terminal comprises a display and a host, and the displays provide input, management and display of tools, tasks and parts for operators; the secondary central control terminal provides a dispatch task for the station terminal, and monitors the use of tools, the progress of the task and the consumption of parts through the station terminal; the ID is used for acquiring information of tools and parts; the large RFID tool cabinet is commonly used by a plurality of station operation platforms. A digital technical means and an intensive production mode are adopted, automatic and informationized technological equipment is fused, the technological content of aviation cable manufacturing is improved, and human influence factors are reduced.

The invention discloses a security policy identification analysis method and system based on an LLM power monitoring system. The method comprises the following steps: respectively and automatically acquiring network routing information and security policy information of SSH and Web type equipment by using an intelligent acquisition strategy through an SSH interface and a Web interface; performing association analysis on all network routing information and security policy information by using a graph data method; and based on the association analysis result of the routing information and the security policy information, automatically generating a network security policy optimization suggestion by using an LLM model. According to the scheme, the LLM model is used for identifying the security policy, and the optimization suggestion is generated in combination with the network information.

The invention belongs to the field of automobile shock absorber bearing detection, and discloses an automobile shock absorber bearing finished product multi-azimuth detection system which comprises a conveyor belt, an industrial personal computer is arranged on one side of the conveyor belt, and an outer diameter surface detection mechanism, an upper end face detection mechanism and a lower end face detection mechanism are sequentially arranged on a support of the conveyor belt. The outer diameter surface detection mechanism is used for detecting the outer diameter surface appearance quality of the automobile shock absorber bearing, the upper end face detection mechanism is used for detecting the upper end face appearance quality of the automobile shock absorber bearing, and the lower end face detection mechanism is used for detecting the lower end face appearance quality of the automobile shock absorber bearing. The system is provided with the outer diameter surface detection mechanism, the upper end surface detection mechanism and the lower end surface detection mechanism, so that the appearance quality of the outer diameter surface, the upper end surface and the lower end surface of the automobile shock absorber bearing can be comprehensively detected. Through multi-directional detection, various defects on the surface of the bearing can be found in time.

This utility model provides a light-out warehouse robot, belonging to the field of handling robot technology. It solves the problems of insufficient intelligence and heavy weight of existing warehouse robots. This utility model includes a base plate, a base shell, a large arm assembly, a small arm assembly, and a variable-pitch manipulator assembly. The base shell is fixedly connected to the upper part of the base plate, and a mounting base is fixedly installed on the upper part of the base plate. A motor base is fixedly connected to the mounting base, and a first motor is installed inside the motor base. A rotating chassis is set above the first motor, and a rotating disc is fixedly fitted outside the rotating chassis. A vision perception module is fixedly installed on the rotating disc. The large arm assembly includes two large arm plates, and a large arm clamp is fixedly installed at the bottom of the large arm assembly. The large arm clamp is fixedly connected to the side of the rotating chassis, and a second motor is fixedly installed between the large arm clamps. The second motor is connected to the large arm assembly, and a small arm clamp is installed at the upper part of the large arm assembly. This utility model has the advantages of high intelligence, compact structure, and light weight.

The invention discloses a smart home environment management system based on data analysis, which relates to the field of smart home and comprises a data acquisition module, a data analysis module and a control module. The data acquisition module is used for acquiring travel behavior data of each family member; acquiring home environment data of each family member at each moment when the family member is at home; the data analysis module is used for predicting the predicted home returning time of each family member according to the travel behavior data; analyzing a suitable environment parameter range of each family member according to the home environment data; and the control module is used for determining a target home environment parameter range of each time period according to the predicted home returning time of each family member and the suitable environment parameter range, controlling each household appliance to work and adjusting the indoor environment. According to the invention, home environment management can be carried out more intelligently, and the experience of each family member is comprehensively improved.

The application relates to the field of intelligent cabinet management, in particular to a safety data management system and method based on an emergency rescue intelligent cabinet, which comprises a material grading module, a permission management module, a distribution planning module, a space supervision module and an emergency identification module, the material grading module is used for establishing a material grading system, the permission management module is used for determining the opening permission of a high-grade material storage compartment, the distribution planning module is used for constructing a gridding model and determining the optimal layout of the intelligent cabinet, the space supervision module is used for setting the positions of common cabinets and supervision points, and the emergency identification module is used for determining the core area of an emergency event; the application can reduce the setting cost of the intelligent cabinet, optimize emergency resource management, balance the convenience and safety of the intelligent cabinet, shorten the material deployment time, improve the emergency response speed, realize event detection and dynamic adjustment mechanism based on a material flow mode, and provide rapid and effective material guarantee for emergencies.

The invention discloses a battery heat preservation control device and a control strategy. According to the technical scheme, the battery heat preservation control device is characterized by comprising a conventional battery pack, a bypass BMS, a low-temperature-resistant battery, a temperature control management module, a heating film and at least two paths of temperature sensors; the conventional battery pack comprises a main BMS (Battery Management System) and a main battery cell; the bypass BMS is electrically connected with the low-temperature-resistant battery, the bypass BMS is in communication connection with the temperature control management module, and the low-temperature-resistant battery supplies power to the temperature control management module and the heating film; the heating film is attached to the surface of the main battery cell, and the at least two paths of temperature sensors are respectively arranged at different positions of the main battery cell so as to monitor the temperature of the main battery cell. The system supplies power independently and does not consume the power of a main battery. The device is accurate in temperature control, improves the safety of the battery, avoids local overheating or insufficient heating, and improves the use safety of the battery.

The utility model relates to the technical field of plastics processing, and disclose a raw material crushing device for plastic product production, including support, the top of support is provided with lower shell and upper shell, is provided with screen cloth and drive sword group in the lower shell, still include: the lower support plate of fixed connection lower shell both sides, the both sides of upper shell all are fixedly connected with upper support plate, set up the mounting portion on the lower support plate, and the mounting portion is used for to lower shell and upper shell dismounting connection, dust extraction pipe, fixedly connected on the upper shell, the utility model discloses through the setting of dust extraction pipe and dust extraction fan, can clean and collect the dust generated in the process of plastics crushing, prevent dust overflow diffusion and harm environment and worker health, and through the collection plastic dust, can also recycle and reuse, avoid raw material waste, through the cooperation of card bar and clamping block, can be convenient for worker to the upper shell and lower shell quick dismounting, effectively reduce the downtime, improve production efficiency.

The invention is suitable for the technical field of satellite communication, and provides an AI-based satellite-ground integrated unmanned aerial vehicle communication channel management method and system, and the method comprises the steps: obtaining the real-time temperature of a radio frequency front-end module of a current unmanned aerial vehicle satellite communication terminal under the condition of determining that a reference temperature node exists, and when the real-time temperature exceeds the reference temperature node, cooling measures of the unmanned aerial vehicle are controlled based on the temperature node, so that the temperature of the radio frequency front-end module is adjusted to be below the reference temperature node in a future time period. According to the method, existing communication links and cooling hardware structures are not changed, the communication stability and reliability after low-orbit satellite link switching can be improved only through control strategy optimization, the risks of short-time link falling and performance degradation are reduced, finer and more intelligent satellite-ground integrated unmanned aerial vehicle communication channel management is achieved, and the method has remarkable engineering practical value.

The invention relates to a smart home wireless communication routing system which comprises a bandwidth adjusting mechanism, a content capturing mechanism, sharpening processing equipment, smoothing processing equipment, band elimination filtering equipment and signal conversion equipment. The home automation level can be improved.

The invention relates to a table tennis practice equipment cleaning demand prediction system based on big data analysis, and belongs to the technical field of data analysis. According to the system, equipment use data and environment data are collected in real time through a data collection module, a pollution index is dynamically calculated through a pollution index calculation module, a future cleaning demand time point is predicted based on a long-short-term memory network, and a decision execution module outputs a cleaning signal according to a prediction result. The problem of resource waste caused by fixed-period cleaning is solved, precise quantification of the equipment pollution state and intelligent prediction of the cleaning requirement are achieved, the maintenance efficiency is remarkably improved, and resource consumption is reduced.

The embodiment of the invention provides a solar charging shed equipment aggregation system, method and device, and belongs to the technical field of charging. The system comprises a communication interface module, a protocol access processing module, a security encryption module, a main control module and a display interaction module, the communication interface module is used for transmitting the acquired data to the main control module; the protocol access processing module is used for receiving data from different devices, analyzing, converting and aggregating the data, and integrating a plurality of data analysis algorithms and conversion logics; the security encryption module is used for encrypting and decrypting the transmitted and stored data; the main control module is used for coordinating the work of each module; and the display interaction module is used for providing a human-computer interaction interface. According to the invention, the operation efficiency and reliability of charging shed equipment can be improved, the operation and maintenance cost is reduced, and more intelligent charging shed management is realized.

The invention discloses an acoustic emission micro-seismic monitoring and analyzing method suitable for hard rocks, and relates to the field of high-level radioactive waste dispose.The method comprises the steps that firstly, a hole is drilled in the direction from an excavated roadway to a TBM roadway / drilling and blasting roadway to be excavated, an acoustic emission sensor and a micro-seismic sensor are arranged in the drilled hole, and a TBM section / drilling and blasting section acoustic emission micro-seismic monitoring system is formed; in the TBM method / drilling and blasting method excavation process, a TBM section / drilling and blasting section acoustic emission microseismic monitoring system is adopted for monitoring to obtain TBM section / drilling and blasting section acoustic emission microseismic monitoring data, the surrounding rock response process of a TBM roadway / drilling and blasting roadway is analyzed according to the TBM section / drilling and blasting section acoustic emission microseismic monitoring data, and the accuracy of surrounding rock response characterization in the TBM method and drilling and blasting method excavation process can be improved; according to the analysis result of the surrounding rock response process of the TBM roadway and the drilling and blasting roadway, the excavation process of the TBM method and the drilling and blasting method is guided, and scientific construction of the TBM method and the drilling and blasting method can be achieved.

The utility model relates to the technical field of warehousing, in particular to material frame type warehousing equipment. The material storage space is divided into a plurality of material storage holes by the separating parts, the material storage frames are conveyed between the material discharging holes and the material receiving platform by the conveying part, the material taking tongs are driven by the driving part to take and place materials on the material storage frames on the material storage holes, the operation is simple and convenient, the use is convenient, and the storage utilization rate is obviously improved; the detection mechanism detects the position conditions of the storage material frames on the storage holes, the use conditions of the storage holes can be recorded in real time, use is convenient, follow-up arrangement and recording are facilitated, intelligent production line management is achieved, and cost reduction and efficiency improvement are achieved.

The invention belongs to the technical field of power equipment, and particularly provides a power safety warning system and method, a terminal and a storage medium, and the system comprises a control module, a plurality of power safety warning devices, and a power module. The electric power safety warning device comprises a safety warning box, a microprocessor is arranged in the safety warning box, a displayer is arranged on the front surface of the safety warning box, a distance sensing unit and an alarm unit are arranged on the side surface of the safety warning box, and a rain cover is arranged at the top end of the safety warning box. A cleaning mechanism used for cleaning the displayer and a driving mechanism used for driving the cleaning mechanism to work are further arranged at the position, where the displayer is installed, of the safety warning box. Through communication connection with a D5000 system, intelligent and automatic management of safety warning of a power system is realized, dust and stains on the display can be automatically cleaned through the equipped cleaning mechanism, the definition and readability of the display are kept, and the user experience is improved.

The invention relates to the technical field of railway wireless communication systems, and discloses a railway tunnel wireless coverage system and method based on the relay technology, and the railway tunnel wireless coverage method based on the relay technology comprises the following steps: obtaining train operation comprehensive information and train historical communication demand information; the train operation comprehensive information is constructed into ordered structure data, and the train historical communication demand information is constructed into time sequence data; and inputting the structure data and the time sequence data into the wireless optimization model, and outputting a railway tunnel wireless coverage optimization strategy. According to the invention, the signal intensity and stability in the railway tunnel can be improved, and the smooth wireless communication of the train during the tunnel operation can be ensured.

The present invention discloses an intelligent customer service system based on an AI big model, and belongs to the technical field of intelligent customer service systems. The present invention improves the flexibility of the system and user experience through multimodal interaction technology, intelligently identifies data types and performs corresponding processing, automatically adjusts the language style and emotional intonation of the response content according to the user's tone and intention, and the knowledge base integrates static data and dynamic interaction data to ensure the real-time update and comprehensiveness of the knowledge content. It performs rapid retrieval based on the knowledge base and makes accurate replies in combination with a large language model. It generates high-quality answers and solutions through rule reasoning and generative models, and records and manages the status information of each round of user interaction by building a dialogue state tracker, so as to achieve accurate tracking and updating of the context. For complex tasks, the system breaks down user requests into multiple subtasks, and executes them in sequence according to priority and dependency relationships to ensure the efficiency and consistency of task processing.

The invention discloses a direct drinking water management system based on the Internet of Things, and belongs to the technical field of direct drinking water, and the system comprises a data collection module which is used for collecting direct drinking water pH data, direct drinking water turbidity data, direct drinking water flow data, direct drinking water temperature data and direct drinking water hardness data, and determining direct drinking water monitoring real-time data based on the Internet of Things; the data transmission module is used for transmitting the direct drinking water monitoring real-time data acquired by the data acquisition module and based on the Internet of Things to the intelligent management platform; and the intelligent management platform is used for processing, comparing and analyzing the direct drinking water monitoring real-time data based on the Internet of Things and performing intelligent early warning management on the direct drinking water. The problem that the direct drinking water management effect is poor due to the fact that real-time monitoring and timely intelligent management cannot be carried out on the direct drinking water based on the Internet of Things in the prior art is solved. The direct drinking water can be monitored in real time and intelligently managed in time based on the Internet of Things, and the direct drinking water management effect can be improved.

The invention discloses a vehicle management and control method, device and equipment and a storage medium, and relates to the technical field of Internet, and the method comprises the steps: photographing a target vehicle when the target vehicle enters a preset range of an area, and carrying out the within-range label recognition through a wireless communication base station; if the tag is read, tag matching is carried out through a tag library built in the wireless communication base station; if the label exists in the label library, performing type judgment on the label; if the label is a detachable battery vehicle, detecting whether the battery label is read or not; and if yes, the target vehicle is permitted to pass, and the vehicle management efficiency can be improved.

The application discloses a kind of concentrator cooperation electric energy meter communication systems, belong to communication technical field, comprising: data acquisition module, for according to electric energy meter built-in sensor acquisition user electricity real-time data;Data transmission module is used to establish the data transmission network connection between electric energy meter and concentrator, and the user electricity real-time data that electric energy meter acquisition is encrypted transmission to concentrator;Data processing module is used to pre-process to user electricity real-time data, and user electricity real-time data is stored safely;Remote control module is used to analyze user electricity real-time data, and carries out remote control according to user electricity analysis result.The application solves the problem that existing cannot realize accurate collection, efficient transmission and intelligent management to electric power data, leading to poor user electricity control effect.The application can realize accurate collection, efficient transmission and intelligent management to user electricity real-time data, and can improve user electricity control effect.

The present application discloses a multi-level multi-node cache method, device, equipment and storage medium, which relates to the fields of computer network and data management, and is applied to a preset multi-level multi-node cache system, including: based on a preset dual multi-group sliding window and a preset periodic feature collection rule, feature collection is performed on data items to obtain feature collection results; the preset dual multi-group sliding window includes a basic sliding window and each node sliding window, and the basic sliding window and each node sliding window each include multiple independent sliding windows; when feature collection is completed, data access probability prediction is performed on each data item based on multiple feature collection results stored in each sliding window and a deep learning model corresponding to each network node, and the prediction result output by each model is obtained; based on each prediction result, a preset shared cache decision rule and a preset node-specific cache decision rule, a target cache level corresponding to each data item is obtained, and data is cached. It is capable of intelligently managing cache content.

The invention discloses an energy supply method of a distribution cable channel state monitoring sensing node, which comprises an underground channel, a plurality of support plates are arranged on the inner wall of the underground channel, transmission cables are arranged on the support plates, sensing nodes are arranged on the inner wall of the underground channel, a movable charging vehicle is arranged above the underground channel, and the movable charging vehicle is connected with the underground channel. An energy storage element is arranged in the movable charging vehicle, and a solar charging panel and a small fan are arranged on the upper surface of the movable charging vehicle. According to the invention, the underground cable channel sensing nodes are wirelessly charged by adopting the movable charging vehicle which freely walks on the road surface, so that the defect that chemical batteries need to be replaced regularly is overcome, and the arrangement of multiple sensing nodes in a distribution cable channel becomes possible; the movable charging vehicle can be flexibly configured with an energy source, clean energy of a solar photovoltaic panel and a small fan is selected, a low-power-consumption mode of the sensing node is matched, and the purpose of long-term and environment-friendly energy supply of the underground sensing node can be achieved.

This invention relates to the field of battery swapping cabinet management technology, and more particularly to an intelligent analysis and decision-making management method, platform, and electronic device for battery swapping cabinets. The method includes: collecting historical battery swapping data from users and classifying this data seasonally; performing user habit analysis to construct a user activity index and a demand stability index; constructing an environmental interference index for users and a user status factor, and then creating a user profile based on the user status factor; dividing users' battery swapping areas based on their historical swapping locations, and constructing a load index for each battery swapping cabinet placement point based on the profile construction results and the user's battery swapping area division results; and establishing a configuration adjustment scheme for each battery swapping cabinet placement point based on the load index of each placement point. This invention effectively improves the efficiency of decision analysis for battery swapping cabinets.

This invention relates to a smart ecological pedestrian walkway and hedge composite system for urban clusters, comprising a walkway paved with several interlocking pavers and ecological hedge units spaced at intervals along the side of the walkway near the roadway. Prefabricated functional drainage grid modules are installed in the gaps between the pavers. Drainage channels in each water collection area converge into a storage tank. A water source heat pump unit is installed in the equipment well. The evaporator side of the water source heat pump unit is connected to a heat extraction circulating pump and a water distributor loop in the storage tank. The condenser side of the water source heat pump unit is connected to a heating circulating pump and a water-heating coil loop in the pavers. This invention, through the deep integration of material innovation, structural optimization, and ecological design, constructs a pedestrian walkway and hedge composite system that integrates passive anti-icing, active snow melting, cross-seasonal energy storage, ecological circulation, and summer cooling, achieving the synergistic recycling of rainwater, snowmelt water, and heat energy.