47 results about "Visual user interface" patented technology

The invention relates to the technical field of short message channel testing, and discloses a short message channel testing configuration method, device and equipment and a storage medium, and the method comprises the following steps: firstly verifying user login information and distributing authority, then extracting and screening channel information from a database based on the authority, and presenting a result in a paging mode. A user can input channel configuration information, and the database is updated after verification. The system then generates an association configuration with the engine user based on the updated channel information. And establishing a TCP / IP Socket communication session and acquiring a session identifier according to the channel selected by the user and the associated configuration. And the system receives the test short message content input by the user, packages the test short message content and the session identifier into a sending request, and sends and records a result through the communication session. According to the method, the channel configuration information can be managed in a centralized manner, a visual user interface is provided, flexible query and screening functions are supported, and an automatic test process can be realized.

The invention discloses a bridge beam plate load testing device for road and bridge construction, and belongs to the technical field of bridge beam plate detection. The device comprises the following modules: an intelligent multi-point collaborative loading module for realizing multi-point synchronous dynamic loading of a beam plate so as to simulate various traffic load conditions; the multi-modal sensing and data acquisition module is used for acquiring dynamic response data of the beam slab in an omnibearing manner; the central control module is used for coordinating and managing the work of each module, processing dynamic response data in real time and dynamically optimizing a test strategy; the self-adaptive safety protection module monitors the health state of the beam slab in real time, predicts potential risks and takes active prevention measures; the environmental simulation and compensation module simulates the influence of various environmental conditions on the beam slab and compensates the interference of environmental factors on a test result in real time; the artificial intelligence data analysis module evaluates the performance of the beam slab and predicts the service life of the beam slab; and the augmented reality interaction and visualization module provides a visual user interface and visualizes the test process and result in real time.

The invention discloses a rock-soil slope intelligent monitoring and early warning system based on the Internet of Things technology, which comprises a sensor module, a data acquisition module, a data analysis module, a cloud computing module, a data visualization module, a three-dimensional model display module, an intelligent inspection module and an early warning module, and is characterized in that the data acquisition module is used for collecting and preprocessing monitoring data; the data analysis module is used for analyzing the preprocessed real-time monitoring data; the data visualization module is used for generating a self-defined report and historical simulation data; the three-dimensional model display module is used for real scene fusion display; and the early warning module is used for automatically triggering an early warning mechanism when abnormal data is detected, and evaluating the risk level of the rock-soil slope in real time. The system monitors various deformation key parameters of the rock-soil slope in real time, predicts potential landslide and settlement problems through an advanced data analysis algorithm, and provides a visual user interface and an early warning system at the same time to improve the safety and economic benefits of slope engineering.

The invention provides a port sensitive information protection method based on data desensitization, and belongs to the field of data security and privacy protection, and the method comprises the steps: 1, regularly collecting original data from each data source of a port operation system, and employing a natural language processing technology and a regular expression to recognize the sensitive information of the original data, and obtaining a sensitive information set; 2, a visual user interface is developed, a user is supported to dynamically adjust desensitization rules according to port business requirements, and the desensitization rules are stored in a rule base in a key-value pair mode; 3, generating and executing a desensitization strategy according to the type of the sensitive information and the business requirement in combination with the desensitization rule; 4, on the basis of a verification function, verifying whether the desensitized data after desensitization contains sensitive information, and confirming whether the desensitized data meets service logic requirements or not; and step 5, sharing the data to an authorized user by adopting a safe data transmission protocol. Sensitive data are effectively protected, dynamic desensitization is supported, and it is ensured that data safety is consistent with service requirements.

The invention relates to a digital twin simulation and optimization method for a large-scale stamping production line, and the method comprises a rapid lightweight modeling technology, a multifunctional fault indicator feedback technology, a three-dimensional dynamic real-time driving simulation technology, and a big data analysis intelligent optimization decision technology. According to the method, virtual-real fusion and a three-dimensional dynamic technology are combined, a three-dimensional visual user interface oriented to the whole manufacturing process is developed based on Unity, the whole stamping production line is simulated in real time, potential problems are predicted and solved through real-time monitoring of the stamping production line, various problems influencing the production efficiency in the production process are optimized, and the manual management and control difficulty is reduced.

The invention relates to an intelligent visual crawler configuration system and method based on a large model, and the system comprises a data input module, an AI feature analysis module, a rule generation module, and a visual configuration module, the data input module is responsible for receiving a target website or webpage content, and obtaining an HTML source code or a dynamically rendered complete webpage structure; the AI feature analysis module is used for automatically analyzing structural features and semantic features of a webpage by utilizing a pre-trained AI large model; the rule generation module is used for automatically generating a crawling rule based on an analysis result, wherein the crawling rule comprises a page turning path, list area positioning and field extraction logic; and the visual configuration module is used for providing a visual user interface, displaying an analysis result and allowing a user to manually adjust the generated rule. The problems that an existing web crawler technology is low in efficiency and poor in adaptability in the aspect of webpage rule configuration are solved, the rule generation efficiency is remarkably improved through the system and method, the system and method are suitable for more unknown types of webpages, and the dynamic adaptation and continuous optimization capacity is achieved.

The invention relates to a building supervision system for supervising the real-time construction progress of a commercial complex building, and relates to the technical field of building construction management, the system comprises a real-time acquisition module, a data processing module, a scheduling system module, a display interaction module and an alarm notification module, and the real-time acquisition module, the data processing module, the scheduling system module, the display interaction module and the alarm notification module are automatically acquired through an RFID tag and other automatic acquisition devices. Worker card punching, material use and mechanical equipment working states are monitored in real time, data comprehensiveness and accuracy are ensured, data acquisition efficiency is improved, human errors are reduced, an integrated data processing center analyzes construction progress in real time, management personnel can make decisions quickly, the decision process is accelerated, management efficiency is improved, and work efficiency is improved. The system automatically adjusts resource configuration according to real-time data and preset rules, optimizes working efficiency, avoids resource waste, reduces cost, automatically gives an alarm and notifies related personnel when the efficiency is reduced, ensures that problems are solved in time, reduces delay risks, and displays the construction progress through a visual user interface.

The invention relates to the technical field of fire fighting systems, and discloses an intelligent fire fighting system based on the Internet of Things and artificial intelligence technology, and the system can timely discover fire hazards and perform early warning by monitoring and intelligently analyzing the fire fighting safety of a building in real time, thereby effectively preventing the occurrence of a fire. When a fire occurs, the system can quickly transfer fire extinguishing power and automatically generate and optimize an optimal fire extinguishing and escape strategy, and the escape strategy guides personnel to escape through the guide module, so that the efficiency and safety of fire extinguishing rescue and personnel evacuation are improved; besides, the intelligent fire-fighting monitoring platform provides a visual user interface, supports real-time monitoring and decision-making command of firefighters, and realizes comprehensive control of a fire scene. The limitation of a traditional fire safety means in complex scenes is overcome, intelligence, automation and high efficiency of fire safety work are achieved, and safety is improved.

The invention relates to a molded case circuit breaker intelligent module integrating multiple functions. The molded case circuit breaker intelligent module integrates the functions of data acquisition, remote communication, man-machine interaction, metering protection, topology identification, event recording, temperature measurement and the like. Key parameters, including voltage, current, power, power factor, power grid frequency, electric energy and the like, in a power system can be collected in real time through data collection, meanwhile, voltage and current unbalance detection and harmonic detection are achieved, and metering current and protection current can be calculated and displayed respectively. The communication module comprises serial port communication, Bluetooth communication and carrier communication, and supports multiple communication protocols. A liquid crystal display screen and keys are arranged in the aspect of man-machine interaction, a visual user interface is provided, and field operation and parameter setting are facilitated. The protection function provides a plurality of protection mechanisms, such as overload, short circuit, overvoltage, undervoltage, phase loss, zero line breaking and temperature protection, so as to prevent and reduce faults of a power system. The topology identification module can autonomously modulate and send the characteristic current and analyze the characteristic current, so that the area topology can be conveniently identified. Meanwhile, an event recording function is achieved, and opening and closing events, remote signaling displacement events and protection comprehensive events can be recorded respectively. The temperature measurement function can collect the real-time temperature of six paths of three-phase incoming lines and outgoing lines in real time, and normal operation of the temperature protection function is ensured. The modular design is adopted, shell frame circuit breakers of different current specifications are supported, plug and play is achieved, and the operation and maintenance cost is reduced.

The invention provides a building safety monitoring system based on a wireless sensor network. The building safety monitoring system is used for monitoring and evaluating the structural safety and stability of a building in real time. According to the system, a plurality of sensor nodes, including an accelerometer, a strain gauge, a temperature sensor, a humidity sensor and the like, are connected into a self-organizing wireless network and are distributed at key positions of a building to collect physical parameter data in real time. The sensor node is provided with a solar panel and a battery, and long-time stable operation is ensured. Data is preliminarily processed by a microprocessor arranged in the node and then is transmitted to a central processing unit for deep analysis, and a data analysis algorithm and a model are used for identifying potential problems. When a threshold value is exceeded or an abnormity is found, the system triggers an alarm to inform related personnel. A user can check the monitoring data, the historical trend and the building model in real time through a visual user interface. The system has a security encryption mechanism and can be accessed by only authorized users, so that data privacy and integrity are ensured.

The invention discloses a visual inspection flora identification and counting method based on deep optimization. The method comprises the following steps: S1, image acquisition: acquiring a flora image through an image acquisition system; s2, image preprocessing: using an OpenCV library of Python to carry out preprocessing on the acquired flora image; s3, data annotation: annotating the preprocessed flora image by using LabelImg software, and dividing an identification target into a plurality of categories; s4, data set expansion: expanding the training data set through a data enhancement method; s5, model optimization: optimizing the original YOLO-v7 model, including newly adding a small target detection layer and optimizing an anchoring frame; s6, model training: training the training data set by using the optimized YOLO-v7 model; s7, result verification: utilizing an independent test set evaluation model to calculate F1-score and mAP indexes; and S8, practical application: providing a visual user interface and a data storage function. According to the method, the YOLO-v7 deep learning model is optimized by newly adding the small target detection layer, so that the flora is automatically identified and counted.

The invention relates to the field of intelligent platform systems, in particular to a supervision and monitoring intelligent platform system which comprises a data acquisition and sensing module, a data processing and analysis module, a visualization and user interface module, an intelligent decision and early warning module, a cloud platform and big data storage module and an intelligent hardware and equipment management module. Functions of data acquisition, processing and analysis, visual user interface, intelligent decision and early warning, cloud platform big data storage, intelligent hardware equipment management and the like are integrated, various data can be acquired, processed and analyzed in real time, and a visual and understandable user interface and an intelligent early warning and maintenance scheme are provided. And meanwhile, cloud platform storage and remote equipment management are supported.

This invention discloses a power distribution IoT communication and equipment management system based on dynamic optimization algorithms. It adopts a four-layer architecture: a perception layer, an edge layer, a platform layer, and an application layer. The end devices in the perception layer are used to collect power distribution data and execute control commands. The edge devices in the edge layer, and their managed sub-devices, are used for protocol conversion, data preprocessing, and executing dynamic optimization algorithms. The platform layer is used for message parsing, algorithm optimization, device management, and data storage. The application layer provides a visual user interface. Through dynamic optimization algorithms and a full lifecycle device management scheme, the system significantly improves the reliability of power distribution IoT data transmission, optimizes network resource utilization, enhances equipment operating efficiency, ensures the real-time performance of critical services, and features strong compatibility, security, and concurrent processing capabilities.

The invention discloses a deep learning and applet integrated traditional Chinese medicine acupoint auxiliary diagnosis and treatment system, which comprises a mobile terminal and a cloud server, the mobile terminal is in communication connection with the cloud server, the mobile terminal is provided with an applet, and the cloud server is configured with a target detection model and a key point prediction model for classified storage of parts. The cloud server is connected with a cloud database, the corresponding relation between diseases and acupuncture points and treatment scheme information are stored in the cloud database, accurate positioning of the acupuncture points of different parts of the body is achieved through target detection and a key point prediction model, and a simple and visual user interface of an applet is combined; according to the system, the user can quickly know the associated information of the disease and the acupoint, check the prediction result and obtain the treatment suggestion, the scientificity and the accuracy of acupoint positioning are improved, and meanwhile, the dependence of traditional Chinese medicine treatment on professional skills is reduced.

The invention relates to the technical field of function engine configuration, and discloses a development method and system based on a low-code configuration function engine, and the method comprises the steps: decoupling bottom configuration information and specific business configuration according to the core capability demand of the function engine, and configuring a basic support module for the operation of the function engine; configuring a core function of the function engine based on the basic support module, and converting a core function configuration process of the function engine into an executable logic or instruction; configuration of executable logic or instructions is achieved through a visual user interface, an operation and maintenance mechanism is adjusted in real time in combination with the operation state in the operation process of the function engine, and core functions of the function engine are continuously iterated in combination with user feedback and service changes. According to the method, the function engine can be quickly configured while the code quantity is reduced, so that business changes are quickly responded, the efficiency is improved, and the cost is reduced.

A method includes obtaining application information including at least one of a location of origin for customer information within an application or a location of termination for the customer information within the application, performing at least one corrective action to reduce a determined risk associated with the application based on privacy guidelines associated with at least one of the location of origin or the location of termination, and displaying, via a graphical user interface, the at least one corrective action to a user.

The invention discloses an artificial intelligence platform interconnection and intercommunication system in the field of energy internet, which is characterized by comprising a data acquisition and processing module, a data storage and management module, a data analysis and mining module, a model deployment reasoning module, a user interface interaction module, a platform interconnection and intercommunication module, a security privacy protection module and a maintenance updating module, the data acquisition and processing module is used for collecting data from various energy devices and sensors and preprocessing the data; the data storage management module is used for storing the processed data and ensuring the security and integrity of the data; the data analysis and mining module is used for deeply analyzing and researching data collected from various sources by using advanced data analysis technologies and algorithms; the user interface interaction module is used for providing a visual user interface; according to the invention, the operation efficiency and stability of the energy internet are effectively improved.

Systems and methods access stored object information of a tangible object associated with a user account of a user, the stored object information being stored to data storage location(s) and indicating parameters associated with use of the tangible object. Parameter(s) are ascertained from the stored object information, with at least one parameter including benefit(s) available to the user upon use of the tangible object. Customized interface content to be depicted via a GUI of the user device is generated, where the customized interface content represents a virtual depiction of the tangible object and at least one of the benefit(s) available upon use of the tangible object. Display of the customized interface content via the GUI of the user device is initiated, where the customized interface content depicts at least one of the benefit(s) as part of a design of the virtual depiction of the tangible object.

The invention discloses a dynamic extension algorithm parameter visual configuration method, which comprises the following steps of S1, predefining a Json Schema rule, and reading a Json file of algorithm parameters; s2, the Json file generates a corresponding Schema structure according to a predefined Json Schema rule; s3, configuring a Schema field corresponding to each parameter item in the Schema structure, and storing the Schema structure; and S4, reloading the Json file and applying a Schema structure to generate a visual user interface. Compared with the prior art, the algorithm parameter page is generated in a Json + Json Schema mode. The Json file is adopted as a parameter, customized solutions can be generated for different clients, meanwhile, the Json format is simple and high in structural performance, and a universal interface is easy to generate.

A system that enables synchronized interaction between voice input and a visual user interface is described. The system receives, by a network site via a first user interaction channel, a user request to perform an action with a listing network platform. The system establishes, by the network site, a session associated with a session identifier for the user request and provides an option for the user to continue interacting with the listing network platform through a second user interaction channel. The system, in response to receiving input that selects the option, uses the session identifier associated with the session to synchronize a first set of inputs received through the first user interaction channel with a second set of inputs received through the second user interaction channel to complete the action on the listing network platform.

The invention discloses a livestock breeding feed physical property non-contact rapid acquisition and model construction system, which comprises an image acquisition module, an image processing module and a model construction module, wherein the image acquisition module is used for acquiring original image data including two-dimensional color images and three-dimensional depth information of feed particles based on a high-precision camera; the processing control module processes and analyzes original image data based on an image processing algorithm and an evaluation model and extracts physical parameters of feed particles, and the data interaction module is used for transmitting an analysis result to a production management system in real time to complete closed-loop feedback control of production parameters. The visualization module carries out interaction operation and information display based on a visualization user interface; through a non-contact image analysis technology, the feed processing quality can be monitored online in real time, and accurate regulation and control of a production process are directly guided through an intelligent evaluation model to meet individual requirements of different animals, so that the uniformity, palatability and digestibility of feed products are remarkably improved, and the equipment and environment-friendly treatment cost is reduced.

The present disclosure relates to a surgical digital reproduction and assistance system (1) for time-dependent transmission of a surgical operation at a patient (P) or for virtual training or evaluation of a surgical operation at a patient (P), having a central data information system (2), at least one first data modality (6) and a second data modality (8), which is different from the first data modality (6), are stored or at least temporarily stored therein, both the first data modality (6) and the second data modality (8) having at least one position specification with respect to a unified common coordinate system (10) of the patient (P), the invention relates to a method for operating a display device, in particular a display device, comprising: a view creation unit (14) for creating a view to a display device (16); and a display device (16) for displaying the view, the view creation unit (14) being arranged on the display device (16). The view creation unit is adapted to generate, digitally provide, a visual view (18) having the first data modality (6) and the second data modality (8) at a preset time, based on a user preset (16) having at least one preset time, and at least one visual user interface (20), the created view (18) is digitally transmitted to the visual user interface and is output and displayed to the user by means of a presentation device (22) in order to evaluate, in particular, a surgical phase or to select a recorded section of the surgery and to reproduce at least the first and second data modalities in a spatially and temporally synchronized mode. Furthermore, the present disclosure relates to a synchronous recording method according to the paralleling claims as well as a computer-readable storage medium and a computer program.

The invention relates to the field of human resource service, in particular to a human resource service sharing platform which comprises a display layer, a business function layer, a platform technology layer and a data layer. According to the method, the MySQL database configuration is optimized, query and update operations are optimized, and hotspot data are stored by utilizing a cache technology, so that the data processing and storage efficiency is improved; a rich and visual user interface is provided, and the user experience effect is improved by providing a comprehensive service module and a concise and visual operation process; strong data security and privacy protection are realized; intelligent resource scheduling and management are realized; the system architecture and expansibility are flexible; rich resources and educational training support are provided; tracking and analyzing job application results; and decision quality is improved.

1. Name of the product in this design: Visual graphical user interface for stacked multidimensional analysis function of electronic device. 2. Purpose of this design: An electronic device. 3. The key design feature of this product is its graphical user interface. 4. The image or photograph that best illustrates the design's key features: the front view. 5. Purpose of the graphical user interface: It allows users to select and display data based on filter items, making it more convenient and intuitive to view information. 6. Human-computer interaction method of graphical user interface: The main view is the initial interface; click "VGJyNF4ZGig8lu-XGIWM_A" under TOP100 in the main view to enter the interface change state diagram.

This document describes a system that enables synchronized interaction between voice input and a visual user interface. The system receives a user request to execute an action using a list network via a primary user interaction channel at a network location. The system establishes a session on the network side, linked to a session identifier for the user request, and offers the user the option to continue interacting with the listing network platform via a second user interaction channel. In response to receiving input selecting this option, the system synchronizes the session identifier associated with the session to combine an initial set of input received via the first user interaction channel with a second set of input received via the second user interaction channel, thus completing the action on the listing network platform.

The invention is suitable for the technical field of equipment monitoring, and particularly relates to a vehicle oil stealing early warning method and system, and the method comprises the steps: installing a camera on a vehicle, carrying out the image collection through the camera, and obtaining a real-time monitoring image; recognizing the real-time monitoring image through a built-in detection algorithm, and judging whether an abnormal condition exists in a preset frame selection area or not; when an abnormal condition is detected, an alarm mechanism is started; and during the flameout and parking period of the vehicle, the camera enters a time-lapse video recording mode, and when an abnormal condition is detected, normal image acquisition is started, and an alarm mechanism is started. According to the system, the monitoring accuracy is improved, the operation process is simplified through a visual user interface, the safety of vehicle fuel oil is ensured, the risk of fuel oil theft is effectively reduced, and in addition, due to the fact that only the camera is installed outside the vehicle, compared with an existing solution in the market, the later maintenance cost of the system is more economical.

Methods and systems are provided for performing operations including receiving an image and displaying the image using a graphical user interface; receiving at least one first image annotation provided by a user via the graphical user interface; generating a first segmented image using a deep learning model, where the deep learning model generates the first segmented image using the digital pathology image and the at least one first image annotation; displaying the first segmented image using the graphical user interface; receiving at least one second image annotation provided by a user via the graphical user interface; generating a second segmented image using the deep learning model, where the deep learning model generates the second segmented image using the digital pathology image, the at least one first image annotation, and the at least one second image annotation; and displaying the second segmented image using the graphical user interface.

The invention discloses a civil engineering steel structure sliding support, and relates to the technical field of sliding supports, and the civil engineering steel structure sliding support comprises a data collection and processing module which is responsible for receiving data collected by a sensor fixedly installed in a main body, and processing and analyzing the data; the early warning and alarm module is responsible for automatically sending out an early warning or alarm signal according to a set threshold value and a data analysis result; the data storage and management module is responsible for storing and managing the collected data to form a historical database; the user interface and interaction module is responsible for providing a visual user interface; the intelligent analysis and decision-making module is responsible for deeply analyzing and excavating the working state and performance data of the support main body, when the supporting column body needs to be limited, a limiting air cylinder is started, the limiting air cylinder can drive a limiting mechanism to operate, and finally limiting plates which are symmetrically arranged can limit the supporting column body; the close fit between the support main body and the support column body can be ensured, and the safety of the main body structure is protected.

The invention discloses a law case digital display method and system based on interactive query and big data analysis, and the method comprises the steps: S1, analyzing multi-modal data, and extracting legal entities and dominant relationships between the entities; s2, constructing a probabilistic knowledge graph according to the legal entities and the dominant relationship; s3, analyzing the probabilistic knowledge graph to deduce the recessive relationship of the legal entity; s4, generating an interactive visual user interface according to the dominant relationship and the implicit relationship; s5, taking queried and corrected data as feedback data, and continuously optimizing the multi-modal processing model; the system comprises a processor, a memory, a multi-modal data receiving and analyzing module, a probability knowledge graph construction and management module, an interpretable reasoning engine module, a visual interaction and rendering module and a self-learning optimization module. The method has the advantages that the probabilistic knowledge graph representing information uncertainty is quantified, discovery and anti-fact deduction of the implicit relationship are carried out, and analysis and deduction capabilities are provided for users.

The invention discloses an OLTC topology simulation diagnosis system and method based on MATLAB. The system comprises a selection module used for selecting the grade of a transformer and a topology circuit; the parameter assignment module is used for assigning values to the selected topological circuit diagrams; the simulation module is used for simulating the assigned topological circuit diagram; the characteristic parameter display module obtains characteristic parameters according to the simulation waveform obtained through simulation; and the waveform comparative analysis module is used for performing comparative analysis on the actual test waveform and the simulation waveform, checking whether a fault condition exists or not, and if yes, overhauling the fault until a fault reason is obtained. According to the method, the visual user interface is provided, the operation process is remarkably simplified, switching waveforms and characteristic parameters can be output, important reference is provided for actual test waveforms, and a user can find problems and optimize system design by comparing simulation results with the test waveforms and carrying out diagnostic analysis.