11results about How to "Real-time warning" patented technology

The application provides a railway vehicle abnormal early warning method and system based on infrared thermal imaging, first acquires an infrared thermal imaging data set of a railway vehicle, and constructs a thermal state benchmark feature set of each key component. Real-time collection of infrared thermal imaging data in operation is dynamically compared with the benchmark set to generate a thermal state deviation feature set. An infrared thermal state abnormality recognition model is called to associate and strengthen processing of the deviation feature set, and a strengthened and associated deviation feature vector is generated. The strengthened and associated deviation feature vector is matched and mapped with a preset abnormal thermal state feature library to determine an abnormal type and an associated component identifier. An early warning instruction containing component positioning information is generated based on the abnormal type and the associated component identifier, and is sent to a target monitoring terminal. The application can accurately and timely early warn thermal state abnormalities of a railway vehicle and ensure safe operation of the vehicle.

This application discloses a method, apparatus, medium, and equipment for risk assessment of gas pipeline networks based on the Internet of Things (IoT). The method includes: real-time acquisition of pipeline data, including physical data, environmental data, and video data; preprocessing the physical, environmental, and video data; inputting the preprocessed physical, environmental, and video data into a pre-trained multi-source data fusion model for fusion to obtain a unified dynamic risk feature vector; calculating a risk entropy value for gas leakage based on the unified dynamic risk feature vector; and providing dynamic early warning for the gas pipeline network based on this risk entropy value. This application enables real-time, accurate, and dynamic assessment and early warning of urban gas pipeline network risks, overcoming the shortcomings of traditional methods.

A multimodal human behavior and psychological analysis platform based on generative artificial intelligence includes: a multimodal behavior data input module that receives data from multiple sources from users to establish a correlation between behavior and psychological state; a behavior and psychological analysis module that generates a psychological state scale based on the user's data from multiple sources and the correlation between behavior and psychological state; a game adaptation module that adjusts the game difficulty in real time to adapt to the correlation between the user's behavior and psychological state; an image story generation module that generates a story progression plot in real time to adapt to the correlation between the user's behavior and psychological state; an analysis and suggestion module that generates a psychological state change trend chart and psychological analysis assessment suggestions based on the user's data from multiple sources and the psychological state scale; and a report generation and progress tracking module that generates a psychological analysis assessment report for the user based on data from multiple sources, the psychological state scale, and the psychological analysis assessment suggestions, and adjusts personal goals in real time to adapt to the user's progress feedback.

The invention belongs to the technical field of structure health monitoring and safety assessment, and discloses a photovoltaic flexible support structure health assessment method and system. Firstly, acceleration signals, inclination angle data and cable force data of the photovoltaic flexible support are collected; extracting inherent frequencies, vibration modes and modal damping ratios of the first three orders of the structure based on a random subspace recognition method, analyzing inclination angle data to obtain static displacement or dynamic rotation angles of key nodes, obtaining a cable force distribution state by combining cable force data, and integrating to form a dynamic feature vector; inputting the vector into a pre-trained structure health assessment model, and outputting a damage position and degree; and when the damage degree exceeds a preset threshold value, a report containing the position of the damaged component, the damage degree and the disposal suggestion is automatically generated. Through cooperation of multi-source data fusion and an intelligent algorithm, real-time, accurate and automatic evaluation of structural health and accurate damage positioning are realized, a scientific basis is provided for preventive maintenance, safe operation of a photovoltaic power station is effectively guaranteed, and the operation and maintenance cost is reduced.

This invention provides a wind turbine safety control and protection method based on blade vibration signals. It uses blade acceleration sensors to acquire acceleration signals during blade operation, extracts frequency domain features and time domain features from the acceleration signals, and compares the feature values ​​with fault thresholds. When the threshold is exceeded, a warning or fault alarm is issued. By connecting the blade acceleration signals to the wind turbine control system, they directly participate in the control and protection of the unit, significantly improving the unit's risk resistance and safety.

This invention discloses a xenogeneic-free culture method for hiPSCs and its quality monitoring method. The xenogeneic-free culture method includes the following steps: hiPSC cells are seeded into the wells of a culture plate coated with VTN-N matrix gel, and cultured for the first stage using E8 complete medium containing 5-15 µM Y-27632. After 20-30 h of culture, the medium is replaced with conventional E8 complete medium without Y-27632 for the second stage of culture, until the cell confluence reaches 60%-80%. This xenogeneic-free culture method ensures efficient cell expansion under conditions with clearly defined chemical composition. This method further optimizes the seeding density and culture period of hiPSCs, controls cell passage at 60%-80% confluence, and significantly reduces the risk of spontaneous differentiation by limiting the maximum culture time and upper limit of confluence.

The application provides a cable health degree evaluation and life prediction method, device and storage medium, including the following steps: acquiring insulation resistance, core resistance and operating temperature in the operation process of the cable; based on the operating temperature, calculating insulation degradation rate and core degradation rate according to the parameterized Arrhenius degradation model respectively; based on the insulation resistance and a preset end point threshold value thereof, calculating insulation health degree; based on the core resistance and a preset end point threshold value thereof, calculating core health degree; based on the insulation degradation rate and the insulation resistance, calculating insulation residual life; based on the core degradation rate and the core resistance, calculating core residual life; determining the smaller value between the insulation residual life and the core residual life as the overall residual life of the cable; fusing the insulation health degree and the core health degree to obtain comprehensive health degree of the cable; and outputting the health state evaluation result of the cable according to the comprehensive health degree and / or the overall residual life.

This invention discloses a method and device for monitoring the temperature distribution performance of downhole circuit boards. The method includes: first, constructing a sparse dictionary using a dictionary learning algorithm and setting an observation matrix; then, deploying a sparse temperature acquisition sensor array; building an intelligent sensing model to collect and transmit real-time data of the sparse signal of the downhole circuit board temperature distribution and storing it in the cloud as historical data of the sparse signal; generating standard operating mode data features; generating a health status curve; and finally, using a binary classification method to analyze the health status curve to achieve early warning of abnormal heat sources on the downhole circuit board. This invention uses intelligent sensing technology and cloud technology to achieve block-based sparse acquisition and cloud computing of downhole circuit board performance characteristics, reducing the storage and computational load of the device. It employs a signal recovery and reconstruction algorithm to comprehensively characterize the temperature performance image of the downhole circuit board and to observe and warn of the heat source distribution of the downhole circuit in real time.

The invention discloses an aquaculture tail water treatment monitoring device, which belongs to the field of aquaculture and comprises a boat, a monitoring device, a shell and a monitoring system arranged on the boat. The aquaculture tail water treatment monitoring device takes a movable boat as a carrier, carries a monitoring unit integrated with a multi-parameter high-precision sensor, and is matched with a telescopic, automatic cleaning and intelligent control system. All-water-area dead-corner-free monitoring is achieved through boat movement, rope depth adjustment and propeller fine adjustment; a dual cleaning mechanism guarantees data accuracy, and an AI module automatically plans a path and early warns abnormity; solar energy and lithium battery dual power supply is suitable for field long-acting operation. The device can be remotely controlled, the labor cost is reduced, the device can adapt to various scenes such as industrial aquaculture and treatment effect evaluation through simple transformation, and efficient and reliable data support is provided for tail water treatment.

This invention relates to an early warning method for bilateral force imbalance during strength training, aiming to solve the problem that exercisers often find it difficult to detect bilateral imbalances in current weight training equipment, leading to safety hazards such as muscle strains. The technical solution includes a detection mechanism for bilateral mechanical data. This mechanism comprises a tension cable and two side plates connected to the ends of the cable. The first side plate has a corrugated anti-slip texture on its outer side and an adhesive layer on its inner side to ensure it adheres to the palm. The second side plate has an acoustic-optical-electric display device on its outer side and an adhesive layer on its inner side to ensure it adheres to the back of the hand. A pressure sensor is located at the bottom of the corrugated anti-slip texture. A force sensor is located on the tension cable. The acoustic-optical-electric display device includes two sets of gradient light strips. The first gradient light strip is connected to the pressure sensor via a controller, and the second gradient light strip is connected to the force sensor via a controller. The advantage is that the pressure sensing circuit detects the weight distribution on both sides, while the acoustic-optical-electric device provides real-time early warning, protecting the exerciser and reducing safety hazards.

The utility model relates to a high-temperature thermal imager protection device, belongs to the technical field of high-temperature thermal imager protection, and particularly relates to an industrial kiln high-temperature thermal imager protection device which comprises a kiln wall, a base is fixedly mounted on one side of the kiln wall, and a mounting shell and a mounting pipe are fixedly mounted on one side of the base. A built-in protection pipe fixedly penetrates through the interior of the kiln wall, a first protection shell is slidably mounted in the built-in protection pipe, a second protection shell is fixedly mounted on one side of the first protection shell through a flange, and the device further comprises a protection assembly. According to the utility model, the high-temperature thermal imager can be protected, so that the service life of the device is prolonged, and the problems that the existing high-temperature thermal imager is easily influenced by factors such as high temperature, dust and corrosive gas when working in severe environments such as high temperature and the like, especially in an industrial kiln, and the service life of the device is prolonged are solved. The long-term stable operation of the thermal imager is challenged, and the high-temperature thermal imager is easy to damage and cannot work.