3917results about How to "Easy to view" patented technology

The invention discloses an intelligent centralized control and protection integrated system for a high-low voltage switch cabinet, relates to the technical field of electric power automation, and solves the problems that an existing centralized control system is lagged in data processing, incompatible in communication protocol and difficult in fault positioning. Running parameters and equipment state parameters of each high-low voltage switch cabinet are monitored in real time through a distributed data acquisition module; different communication protocols are automatically identified and adapted through the communication transmission module; real-time data analysis, fault early warning and state evaluation are carried out through a deep analysis module, and an early warning mechanism is triggered when a potential fault is early warned; the fault diagnosis module is used for quickly positioning a fault source and generating a maintenance suggestion, and the remote interaction module is used for providing a graphical user interface, displaying the real-time state of the system and allowing a user to remotely monitor and operate; according to the invention, the performance, compatibility and usability of the system are obviously improved.

According to the coastal saline-alkali land underground water level adjusting system based on real-time monitoring and intelligent regulation and control, the system integrates the soil salinity sensor, the underground water level sensor and the central processing unit, future trend prediction is carried out by monitoring key parameters such as soil salinity and underground water level in real time in combination with a deep learning model, and the real-time monitoring and intelligent regulation and control are achieved. And precise intelligent regulation and control are realized. The system can effectively reduce soil salinization, prevent seawater from flowing backwards, improve the utilization efficiency of water resources and reduce the labor management cost at the same time. The method is characterized in that the application of multi-parameter comprehensive monitoring, a deep learning prediction model and a self-adaptive intelligent regulation and control algorithm provides a new technical solution for coastal saline-alkali land treatment.

The invention discloses an artificial intelligence perioperative period anesthesia depth detection system which comprises a data acquisition module which is provided with a multi-mode sensor and is used for acquiring physiological data of a patient in a perioperative period, and an artificial intelligence model module which is used for constructing an anesthesia depth prediction model based on a deep learning algorithm. The result output and display module is used for outputting the prediction result of the anesthesia depth in real time and visually displaying the prediction result on a display screen in the form of digits and charts, and the communication and interface module is provided with an interface for data communication with a hospital information system and an electronic medical record system. By means of multi-mode collection and innovative design, the anesthesia depth detection accuracy is improved, precise monitoring and intelligent auxiliary decision making are achieved, the method can be used for various scenes, the safety of patients in the perioperative period is effectively guaranteed, and the medical efficiency is improved.

The invention relates to the technical field of parking management, in particular to an intelligent parking order tracing and auditing method and system, and the method comprises the steps: receiving order data from a plurality of parking platforms, carrying out the preprocessing of the order data, and inputting the preprocessed order data into a block chain platform for storage and management; performing automatic processing and auditing on the order data by using an intelligent contract, and forming an auditing log; a time-space Transform model is established, intelligent analysis is carried out on data in an audit log, finally encryption tracing processing is carried out on the audit log, a user carries out order query, data audit and report generation through a user interaction module, data loss, tampering and malicious destruction are effectively prevented, order processing efficiency and accuracy are improved, and user experience is improved. Manual intervention and errors are reduced, an administrator can conveniently check and verify the access history and operation record of order data at any time, and the safety and traceability of the data are ensured.

The invention discloses a power generation equipment fault diagnosis method based on a large language model. According to the method, firstly, an expert knowledge base is converted into a fault knowledge base composed of criterion nodes and edges, and fault retrieval is completed through the knowledge base; synthesis of natural language texts is completed by using input based on text function segmentation, cue word templates are constructed based on calculation types of different criteria, and a large model is promoted to complete calculation reasoning tasks of the criteria; multi-dimensional equipment state monitoring time sequence data are input, a cue word set at the current time is automatically generated in combination with the cue word template, the cue word set is input into a large language model for computational reasoning, and a current state set of equipment is generated; using a knowledge base to retrieve the state set to obtain a fault diagnosis result; and then a visualization system is designed to collect and visualize a large model output result and a fault diagnosis result, and input and interaction interfaces are provided for cue word template construction. The fault diagnosis completed by the method has good practicability and expansibility.

The invention discloses an on-site monitoring system for the performance of an elastic loose type anchorage system suitable for deep-sea buoys, and particularly relates to the field of deep-sea monitoring. The on-site monitoring system auxiliary comprises a central processing module, wherein the output end of the central processing module is separately connected with an information display module,an information storage module, an auxiliary recovery module and a driving module, and the input end of the central processing module is separately connected with a power supply module, a monitoring module, a correction module and a positioning module. According to the on-site monitoring system for the performance of the elastic loose type anchorage system suitable for the deep-sea buoys, the auxiliary recovery module is arranged, air bags are installed at a plurality of node positions on the anchorage system, a booster pump in a pressurization unit is used, outside air is conveyed into a floating ball unit through a pipeline unit, so that the retractable air bags are enabled to bulge upwards to float, the whole anchor system is directly floated in sections, people conveniently recycle theanchorage system greatly, the workload during the recycling process is reduced, and the practicability is high.

The invention provides a road material automatic identification system and method based on multi-source remote sensing data fusion. The system comprises a remote sensing data acquisition module, a data preprocessing module, a wave band selection module, an image enhancement module, an image fusion module, a road extraction module, a feature extraction module, a feature optimization module, a classification and recognition module, a result post-processing module and a user interaction module. According to the road material automatic identification system and method based on multi-source remote sensing data fusion, image data of different sensors are fused, and advanced image processing and machine learning technologies are combined, so that high-precision and automatic identification of road materials is realized; therefore, the requirements of the fields of urban planning, road construction, maintenance and the like can be met.

The invention discloses a ship lock control system process safety detection and early warning method, and relates to the technical field of ship lock process safety, and the method comprises the steps: S1, data collection unit construction and data collection analysis; the data acquisition unit can comprehensively acquire key process data of the ship lock, the CPU module accurately analyzes and judges potential safety hazards and outputs early warning, the digital quantity input module achieves wide data acquisition, the output module provides protection signals, and the communication module guarantees data communication of all the units. The storage and forwarding unit realizes data decoding, storage and efficient forwarding through a code scanning gun and a two-dimensional code display screen, an intelligent gateway ensures stable transmission of data, an interactive touch screen is convenient for an operator to check a system state, set parameters and query data, and the whole process safety system is independent of an industrial control system, so that the operation safety and reliability of the ship lock are enhanced; the defects of an existing ship lock control system in the aspects of data acquisition and analysis, communication storage, interaction functions, safety guarantee and the like are effectively overcome.

The invention relates to the technical field of three-dimensional animation production, and discloses a three-dimensional animation production method based on AI deduction real-time rendering output, which comprises the following steps: S1, motion capture: in a motion capture stage, in combination with an AI technology, carrying out real-time analysis and optimization on original motion capture data by using a deep learning algorithm, and through a human body posture estimation technology, carrying out real-time analysis and optimization on the original motion capture data; the motion of the human body can be more accurately captured, and facial expressions and emotion changes are captured in real time in combination with an emotion recognition algorithm, so that more real and vivid animation role performance is provided; by optimizing and simplifying the three-dimensional animation production method, the production difficulty is remarkably reduced, the time is shortened, the cost is reduced, and children 'animations generally require high-frequency animation updating and high-quality visual effect to attract and maintain the interest of small audiences. The AI technology is integrated for action capture and emotion recognition, so that expressions and actions of roles can be captured and optimized in real time, and the roles can be expressed more naturally and vividly.

The invention provides an electroplating process parameter optimization control simulation system based on an intelligent algorithm, and belongs to the technical field of electroplating process simulation, the system comprises a relation module, a model module and a system module, a plurality of optimization targets are identified, quantitative indexes are set, and the relation between the targets and electroplating process parameters is established; according to the method, an intelligent algorithm is utilized to optimize process parameters and generate an optimization result on the basis of considering limiting conditions, a simulation model is constructed, a user-friendly front-end interface and a user-friendly rear-end interface are developed, the simulation model is integrated, user operation and result checking are facilitated, efficient and stable electroplating process optimization is achieved, and the overall performance of the electroplating process is improved.

The invention discloses a diagnostic drug dose key information extraction system based on a multi-agent architecture, which comprises a diagnostic drug dose key information extraction system and a diagnostic drug dose key information extraction system, the diagnostic drug dose key information extraction system comprises a data acquisition and preprocessing module, a natural language processing and information extraction module, a medical knowledge graph construction module, a diagnosis and drug dose recommendation module, a user interaction and feedback module and a safety management and privacy protection module. According to the system, key information about diagnosis and drug dosage can be automatically extracted, analyzed and processed from complex medical data, the system provides accurate and personalized diagnosis and drug dosage suggestions for patients through cooperative work of a plurality of intelligent modules, and meanwhile, the safety and privacy of the data are ensured.

The invention discloses a full-data resource education information platform deep analysis system and method based on structured and unstructured data fusion. The system comprises a data acquisition and integration module; a data processing and analyzing module; a personalized recommendation and learning path planning module; a visual display and customized report generation module; and an authority management and security audit module. Education data are collected through the data acquisition and integration module, the data are cleaned, converted and the like through the data processing and analysis module, the accuracy and availability of the data are ensured, valuable information and modes are extracted through the personalized recommendation and learning path planning module, and the learning path planning module is used for planning the learning path. According to the system, personalized educational resource recommendation, learning path planning, teaching decision support and the like are provided for different user groups, analysis result checking, personalized recommendation receiving, interaction and feedback participation are realized conveniently through a visual display and customized report generation module, and a closed-loop educational resource optimization and service improvement mechanism is formed.

The invention discloses a tower corrosion state monitoring system and method. The tower corrosion state monitoring system comprises a sensor module, a data acquisition and transmission module, a data processing and analysis module, an early warning and decision module and a visual interface module. The system has the advantages that the corrosion state and the inclination condition of the tower are comprehensively monitored from different angles through multi-sensor fusion, the accuracy and the reliability of the monitoring system are improved through the multi-sensor fusion technology, stable transmission and real-time monitoring of data are achieved in combination with the low-power wide area network (LPWAN) technology and the 5G technology, and the system is suitable for popularization and application. The method is advantaged in that different environmental conditions and monitoring requirements are adapted, flexibility and adaptability of the system are improved, deep learning algorithms such as a convolutional neural network (CNN), a recurrent neural network (RNN) and variants thereof and a multi-modal fusion model are utilized to carry out deep analysis and processing on monitoring data, the intelligent level of the monitoring system is improved, and the monitoring system has a wide application prospect. And the corrosion state, the inclination condition and the development trend of the tower can be accurately evaluated.

The invention provides a capacitor core welding strength detection device, and relates to the technical field of capacitor detection. The detection device comprises a rack, an operation table is arranged in the rack, a clamping mechanism used for clamping a capacitor is arranged on the operation table, a detection mechanism used for metering tension is installed on the side, away from the operation table, of the rack, and a clamping mechanism used for clamping a capacitor lead is arranged in the rack. A driving mechanism for driving the clamping mechanism to move towards the detection mechanism is arranged in the rack, and the measuring end of the detection mechanism is mounted in the clamping mechanism; the clamping mechanism and the transmission mechanism are matched together, so that the clamping mechanism can be driven to clamp the lead of the capacitor, and the traction force on the lead of the capacitor can be gradually increased in the process of driving the clamping mechanism to move away from the direction of the clamping mechanism; therefore, whether pseudo soldering or other quality problems occur to the lead of the capacitor can be detected.

The invention provides a water and fertilizer demand prediction method and system for improving crop yield, and relates to a data processing system, and the method comprises the steps: S1, obtaining meteorological data; s2, calculating soil water content data; s3, recording farming data; s3, calculating soil fertility data; s5, setting a root depth calculation module and a pollination rate calculation module in the Wofost model, and optimizing the Wofost model according to calculation results of the root depth calculation module and the pollination rate calculation module; s6, inputting meteorological data, soil water content data, soil fertility data and farming data based on a Wofost model, and performing yield estimation calculation; s7, calculating a daily irrigation demand according to the meteorological data, the soil water content data, the farming data and the crop transpiration data; and S8, calculating a daily fertilization demand according to the soil fertility data, the farming data and the nutritional demand data. The system can help farmers to make preparations before water and fertilizer abnormal conditions occur in farmland, realizes accurate management of water and fertilizer, reduces water and fertilizer waste, and improves the yield and quality of agricultural products.

The invention discloses a paphiopedilum PCMYB1 gene and application of the paphiopedilum PCMYB1 gene in changing plant flower color. The amino acid sequence of the PCMYB1 is as shown in SEQ ID NO. 2, and the nucleotide sequence of the coding gene of the PCMYB1 is as shown in SEQ ID NO. 1. Through instantaneous transformation or stable overexpression of the gene, the synthesis level of anthocyanin in the plant can be effectively improved, so that the flower color of the plant is changed. The application provides an innovative thought for plant breeding, the ornamental value and market competitiveness of flowers can be remarkably improved, and a new growth point is brought to the flower industry. Meanwhile, the plant flower color is changed by means of genetic engineering, the biological diversity can be enriched, the increasingly diversified requirements of consumers are met, and the progress of germplasm innovation and sustainable agriculture in China is promoted.

The invention discloses a business travel reimbursement management system, and relates to the technical field of business travel management, and the system comprises the following components: a data collection module which collects business travel demands and historical business travel records of a user, analyzes the relation between data through an algorithm model, and displays an analysis result to the user and an enterprise in a visual manner, according to the invention, by integrating the business travel related data and combining with the data cleaning and statistical analysis technology, the highly personalized business travel planning service is provided for the user, the historical travel data of the user is classified by applying the K-means algorithm, different user groups and travel modes thereof are accurately identified, and the user experience is improved. According to the method, flight, hotel and travel destination recommendation and association rule mining algorithms which better meet the actual requirements of users are provided for the users, and association rules between travel behaviors of the users and expenses are deeply mined, so that more accurate cost budget and control basis are provided for enterprises, unnecessary expenses are effectively avoided, and the user experience is improved. And the financial management efficiency of enterprises is improved.

The invention belongs to the technical field of discrete intelligent manufacturing, and particularly relates to a discrete intelligent manufacturing method and system.The discrete intelligent manufacturing method comprises the following specific steps that product information in order products is split to form a bill of materials, the received order information is stored based on ERP software, and according to data in the bill of materials, the order information is stored according to the data in the bill of materials; computer aided design software is adopted to create a three-dimensional detailed model of the product, parts of the three-dimensional detailed model of the product are split, and the production quantity and time nodes of each part are determined; through the cooperation of the structure, the materials required by the product orders are split and listed according to the number of the product orders, so that workers can purchase the materials required by the products more conveniently, and through the mutual cooperation of the ERP system and the MES system, according to the materials listed on the material list, the materials required by the products can be purchased more conveniently. According to the method, the production steps are split while the number and the time node of the parts processed by the materials are determined, so that the parts are produced in batches in the production process.

The invention relates to the technical field of charging pile networks, and discloses a charging pile network redundancy system based on 4G and mesh. The 4G communication module is responsible for data communication between the charging pile and a remote server and ensures that the charging pile can upload charging data and receive a remote instruction in real time; and the Mesh network communication module realizes wireless interconnection between the charging piles, forms a mesh network, and can communicate with other charging piles through the mesh network when 4G communication of a certain charging pile fails, so as to ensure data transmission and instruction execution. The invention provides a charging pile network redundancy system based on 4G and mesh, and solves the problem that equipment cannot be networked for use when mesh of single equipment goes wrong due to the fact that the equipment is not additionally provided with a network redundancy design.

The invention relates to the technical field of heat storage water tanks, in particular to a heat storage water tank with a good heat preservation effect, which comprises a water storage tank, a heat preservation structure is arranged on the inner side of the water storage tank, a heat storage structure is connected to the bottom side of the water storage tank, and a conversion structure is connected between the heat storage structure and the water storage tank. A positioning structure is connected between the water storage tank and the heat preservation structure, a supporting structure is arranged at the bottom of the water storage tank, an observation structure is arranged on the side face of the water storage tank, and a communicating hole is formed in the bottom of the water storage tank; the heat preservation capacity of warm water in the water tank can be improved through the heat preservation structure, damage to the heat collector caused by freezing can be avoided through the heat storage structure, the rotating position of the conversion pipe can be conveniently adjusted through the conversion structure, air pressure balance in the water storage tank can be guaranteed through the positioning structure, and adjustment is convenient.

The invention relates to the field of power system operation and maintenance, in particular to a three-dimensional visualization method applied to a substation operation and maintenance system, which comprises the following steps of: acquiring a three-dimensional model and position information of substation equipment, constructing an integral three-dimensional model of a substation by utilizing technologies such as laser scanning and photogrammetry and combining positioning technologies such as GPS (Global Positioning System) and RTK (Real-Time Kinematic); a sensor is installed on equipment, operation parameters such as voltage, current, temperature and vibration are collected in real time and transmitted to a three-dimensional visualization system through a wireless or wired communication network, association display of real-time data and a three-dimensional model is achieved, and the system provides a three-dimensional view capable of rotating, zooming and translating. The operation state and fault alarm information of the equipment are displayed in real time, and historical data query and alarm log functions are supported. By analyzing real-time and historical data, the system can identify and predict potential faults of the equipment, generate maintenance plans and optimization suggestions, and support remote collaboration and fault handling.

The invention belongs to the technical field of data analysis, and particularly relates to an information analysis method for bidding documents. The information analysis method comprises the following steps: S1, obtaining a newly added bidding and tendering file, and sending the file into a preprocessing module; s2, the preprocessing module outputs corresponding preprocessing data to a classification module; s3, the classification module divides the content in the current preprocessed data into valid tables, core blocks and independent blocks, and then the valid tables, the core blocks and the independent blocks are sent into a table analysis module, a core analysis module and an independent analysis module respectively; and S4, the table analysis module, the core analysis module and the independent analysis module respectively output the first analysis data, the second analysis data and the third analysis data to an integration module for integration to obtain core information and output the core information. According to the method, the core information of various bidding and tendering files can be accurately and efficiently analyzed.

The invention discloses a soil and groundwater environment in-situ real-time monitoring system which is installed in a monitoring device and comprises a soil monitoring platform and a groundwater monitoring platform. The soil monitoring platform comprises a soil monitoring module, a basic data module, a first monitoring evaluation module and a collaborative management and control module, and mainly realizes the functions of real-time monitoring analysis, evaluation, environment management and the like of soil related indexes; the underground water monitoring platform comprises a monitoring content module, a monitoring operation module, a monitoring display module and a second monitoring evaluation module, and mainly realizes the functions of real-time monitoring, analysis, alarm, evaluation and the like of underground water related indexes. According to the invention, in-situ real-time monitoring of soil and underground water can be provided at the same time, the monitoring system is constructed by taking construction land and agricultural land soil and underground water environment management as a main line, and monitoring and management of related soil and underground water environments by a plurality of departments such as natural resources, ecological environment, agriculture and rural areas, housing and urban and rural construction can be realized.

The invention relates to a multimedia resource display method and device, equipment and a storage medium, and the method comprises the steps: responding to a continuous triggering instruction of interaction controls corresponding to a plurality of playing pages, and displaying a resource recommendation identifier in a current playing page; the multimedia resources played by the plurality of playing pages are resources of the same target category; the current playing page is the last playing page in the plurality of playing pages; and in response to a trigger instruction for the resource recommendation identifier, displaying the recommended multimedia resources of the target category. According to the method and the device, the current playing page can be quickly skipped to the page corresponding to the recommended multimedia resource, and compared with a mode of obtaining the recommended multimedia resource only through searching, the diversity of the display form of the recommended multimedia resource is improved.

The invention discloses an invoicing method and device for invoices of multiple invoice types, electronic equipment and a medium, and relates to the technical field of electronic invoices, and the method comprises the steps: obtaining invoicing application information, and generating invoice configuration templates of different invoice types of an invoicing company according to the invoicing application information; determining a target invoice configuration template in the multiple invoice configuration templates, and obtaining an invoice file format rule and a tax rate rule corresponding to the target invoice configuration template; according to the invoice file format rule, rendering to obtain an invoice style file, and according to the tax rate rule and the invoicing application information, determining each invoice amount data; and rendering the invoicing application information and the invoice amount data into an invoice style file to generate a target invoice file. By adopting the method, the problems of low invoicing efficiency and low accuracy can be solved, invoicing of multiple types of invoices can be realized, and the invoicing efficiency and accuracy are improved.

The invention relates to a network security situation awareness method and system based on big data analysis, and belongs to the technical field of network security. The method comprises the steps of collecting original network data which comprises original network data flow and original protocol data in broadband service, training a network security situation awareness model based on a preset network security situation awareness standard set, the network security situation awareness model comprises a network flow analysis model and a protocol analysis model, generating a network state label through the network security situation awareness model, and evaluating a network security level through a rating rule according to the network state label. And outputting a network security situation awareness instruction through an instruction control script according to the network security level, generating a network security situation report through an automatic reporting tool according to the original network data, the network state label and the network security level, and displaying the network security situation report through a data visualization tool.

The embodiment of the invention discloses a purchase demand information management method and electronic equipment. The method comprises the following steps: determining a purchase demand created by a first user; after the first user initiates an inquiry message to a plurality of second users based on the purchase demand, obtaining response contents replied by the plurality of second users, and determining a corresponding purchase demand identifier; and in response to a request submitted by the first user for checking the reply condition of the purchase demand, aggregating and displaying response contents replied by the plurality of second users corresponding to the same purchase demand. Through the embodiment of the invention, the efficiency can be improved, and the labor cost and the time cost are reduced.

The invention relates to the technical field of biomedicine, in particular to a high-precision glass slide clamping device which comprises a bearing box, two bearing blocks are slidably connected to the inner surface of the bearing box, sliding rods are fixedly connected to the upper surfaces of the two bearing blocks, and lower pressing plates are slidably connected to the side surfaces of the two sliding rods. The upper surfaces of the two bearing blocks are rotationally connected with first lead screws, the first lead screws are in threaded connection with the lower pressing plate, the inner surface of the bearing box is fixedly connected with a partition plate, two second lead screws are rotationally connected between the bearing box and the partition plate and are in threaded connection with the two bearing blocks, and the side surface of the bearing box is fixedly connected with two motors. The two second lead screws are driven by a motor, the lower surface of the bearing box is fixedly connected with four connecting blocks, through the components, very accurate angle adjustment can be achieved, it can be ensured that the glass slide can be subjected to multi-angle and accurate position adjustment in the observation process, and therefore the visual field under the microscope is optimized.

The invention discloses a case data analysis system based on a large model, and the system comprises a data collection module, a preprocessing module, a large model training and optimization module, an analysis module, a visualization and interaction module, a security and privacy protection module, a data preprocessing module with an innovative algorithm, a large model training module with an adaptive learning rate formula, and a disease risk prediction module with an evaluation formula. System functions and performance indexes are clear, equipment and medium requirements are clear, the steps of the method are complete, and high efficiency, accuracy and safety of case data analysis are guaranteed; the case data processing efficiency and accuracy are improved, and powerful support is provided for medical decision making. A large model is accurately analyzed, visual and convenient to check, and a security module guarantees data privacy. The medical quality can be improved, the treatment scheme can be optimized, and the method has important application value.

The invention discloses a building performance monitoring system based on BIM and Internet of Things technology, and relates to the field of building performance monitoring, comprising: a BIM model construction and integration module creating and integrating a building BIM model; the Internet of Things sensor deployment module deploys a sensor; the data acquisition and transmission module acquires and transmits data; the data processing and analyzing module processes and analyzes the data; the building performance evaluation and early warning module performs evaluation and early warning; and the user interaction and visualization module realizes interaction and visualization. And each module has corresponding technologies, such as IFC format integration and low-power consumption sensor, so that the performance is improved. The building performance can be effectively monitored, the BIM model is integrated, comprehensive monitoring, intelligent analysis, accurate evaluation and early warning are achieved, interaction visualization is convenient and fast, safe and comfortable operation of the building is guaranteed, and management and maintenance are convenient.