22 results about "Surveillance Methods" patented technology

The invention discloses a high-voltage transmission line insulator health monitoring method and system, and the method comprises the steps: collecting multi-modal data to construct a data set, constructing a model containing an ITCN time sequence branch and a double-branch U-Net space branch, achieving the cross-modal fusion through an LTSFM module, and carrying out the cross-modal comparison pre-training and the optimization of a multi-task loss function (DiceLoss + WIoULoss + TSCL), thereby achieving the health monitoring of a high-voltage transmission line insulator. And finally, outputting health state classification, fault segmentation masks and degradation trend parameters, and triggering fault early warning when a threshold condition is met. According to the invention, the high-precision real-time monitoring of the weak degradation characteristics of the insulator can be realized, and the edge deployment efficiency and the complex environment adaptability are both considered.

This invention relates to the field of nursing technology and provides an internet-based remote monitoring method and system for health care. The method includes: screening for deviation events and identifying risk monitoring nodes, extracting sampling data only for these risk monitoring nodes; performing comparative analysis on computational parameters in chronological order, comparing the magnitude of parameter fluctuations with preset fluctuation thresholds based on historical data statistics, and identifying key parameters with significant fluctuations; and generating predictive intervention nodes through a preset assessment model. This invention avoids indiscriminate processing of all data by locating effective data segments with high-risk characteristics from the raw data, reducing computational load and data transmission pressure, and improving the targeting and efficiency of risk assessment. By identifying fluctuation nodes where key parameters change, it can more sensitively capture the initial signs of potential risks and improve the accuracy of risk identification.

The application discloses a human health monitoring method and system based on proportion philosophy and individual self-adaption. A multi-level nested proportion model is constructed by non-invasively collecting multi-dimensional signals of a human body. A golden section 0.618 is taken as a harmonious anchor point to calculate an individual exclusive health benchmark zero point and a stable interval. Through real-time proportion comparison and fine ladder deviation analysis, the structure harmony and function state are judged. The health trend early warning is realized by combining multiple retests. The application breaks away from the limitation of unified medical indicators, realizes personalized, global and original health evaluation, can early identify imbalance and sub-health state, and is suitable for scenes such as daily monitoring, physical evaluation and health intervention effect judgment.

A surveillance apparatus (101) includes a first acquisition unit (104), a second acquisition unit (105), and a correlation unit (106). The first acquisition unit (104) acquires first moving body information MD1 including the position of a held apparatus (107) held by a predetermined moving body MB. The second acquisition unit (105) acquires second moving body information MD2 including the position and the type of a sensor moving body SMB being a moving body MB detected based on sensor information SI generated by a sensor apparatus (103). The correlation unit (106) correlates the first moving body information MD1 and the second moving body information MD2 that are related to a common moving body MB, based on the position of the held apparatus (107), and the position and the type of the sensor moving body SMB.

A plurality of hierarchical information management devices (4a, 4b, 4c) have a first hierarchical information management section that manages first hierarchical information (50a, 50b, 50c) that is information that expresses the information of the devices in a hierarchical structure, and the plurality of hierarchical information management devices (4a, 4b, 4c) each manage the first hierarchical information (50a, 50b, 50c) of different devices. The monitoring device (2) has a second hierarchical information management section that generates hierarchical information that is second hierarchical information that connects the first hierarchical information (50a, 50b, 50c) in a hierarchical structure based on a plurality of different first hierarchical information (50a, 50b, 50c) acquired from the plurality of hierarchical information management devices (4a, 4b, 4c), a display section that displays information, and a display processing section that performs processing to display a plurality of different monitoring screens that correspond to the operation states of the display monitoring targets of each hierarchical level in the second hierarchical information on the display section by switching the monitoring screens.

The application provides a kind of old patient sign monitoring method and system based on multi-modal perception, it is related to intelligent health monitoring technical field, including: acquisition and fusion physiological and behavioral data, construct unified representation and modal correlation matrix.Baseline features are calculated and tensor fusion is carried out, abnormal fragments are identified and dominant influence factors are traced back by encoding reconstruction.Risk level is mapped by deducing data evolution trajectory and calculating deviation from health benchmark.Simulate the timeliness of intervention scheme, determine the target scheme and generate monitoring report.The application realizes the deep correlation analysis and early warning of abnormality of multi-modal data, can automatically determine the risk dominant factor and generate individualized intervention scheme, improves the accuracy and initiative of old health monitoring.

The invention discloses a public opinion monitoring method and system based on multi-modal data fusion. The public opinion risk management and control capability and the emergency response level in a complex public opinion environment are improved. The method comprises the following steps: collecting multi-modal data, and carrying out edge preprocessing on the collected multi-modal data to generate structured input data; performing feature extraction and projection on the multi-modal data to generate a unified event embedding representation; identifying event types based on a public opinion classification model, and performing risk assessment on events in combination with set parameters; constructing a public opinion knowledge graph, and inputting cue words into the pre-training language model to generate a response strategy; and triggering early warning based on a hierarchical risk threshold, and performing reinforcement learning fine tuning and strategy optimization on the pre-training language model based on event feedback and response results.

The invention discloses a platanus orientalis wadding monitoring method based on an image recognition technology, and relates to the technical field of environmental monitoring, and the method comprises the following steps: selecting a road containing platanus orientalis during the centralized outbreak of platanus orientalis wadding every year, and collecting the floating wadding through a floating wadding collection container; identifying the floating flocculus area in the floating flocculus collecting container by using an image identification technology; obtaining the weight of the floating catkins in each floating catkins collecting container; fitting the floating wadding area and the floating wadding weight through a floating wadding area-weight algorithm formula; quantifying floated floc grades, and dividing the floated floc of the platanus orientalis into four grades of'no ', 'light', 'medium 'and'heavy'. According to the method, the flouring grade standard can be quantified, the flouring phenomenon can be converted from subjective description to measurable scientific indexes, the subjective deviation of manual observation is eliminated, the data comparability of different areas and different time is ensured, and a unified and objective reference basis is provided for urban flouring treatment management, public health protection and scientific research.

The invention relates to an urban surveillance method, comprising a training phase (100), intended to create training data; a detection phase (200), in which at least one detection vehicle (20) equipped with at least one sensor is mobile in an area to be monitored (22), the at least one sensor records data relating to the area to be monitored (22), then the recorded detection data is processed by a computer detection device (28), configured to detect elements (24) present in the area to be monitored using the training data; and an analysis phase (300), in which the area to be monitored (22) and the elements (24) present in the area to be monitored (22) are analyzed by a computer analysis device (38); characterized in that the training phase (100) and the detection phase (200) are distinct;and in that during the analysis phase (300), the computer analysis device (38) establishes a score for the area to be monitored (22), taking into account various parameters, including the different elements (24) present in the area to be monitored (22). The invention also relates to an urban surveillance system. Abbreviated figure: 1;

This invention discloses a primer design method and primer set. Through in-depth analysis of influenza surveillance network data nationwide, this application makes significant contributions to improving the accuracy and sensitivity of influenza virus identification. The primer revisions not only achieved significant results in experiments but also provided valuable insights for future influenza surveillance and research. A deeper understanding of the genetic characteristics and epidemiological patterns of influenza viruses is crucial for developing scientifically effective prevention and control strategies. In disease prevention and public health management, continuous improvement of surveillance methods and strategies will bring greater benefits to timely responses to infectious diseases such as influenza.

This monitoring system for monitoring a vehicle (10) or a monitoring target operating in the vehicle (10) comprises: a reliability management unit (1186) for managing a reliability indicating a security protection status of the monitoring target, in accordance with a vehicle event of the vehicle (10); and a function restricting unit (1163) for restricting at least some functions of the monitoring target in accordance with the reliability.

The invention provides a monitoring system, a monitoring method, and a program. The time of setting position information of an abnormal monitoring object device for a moving body is saved, and the moving body can move to a position suitable for confirming the device condition irrespective of the map information specification of the moving body. A monitoring system is provided with: a first storage unit for storing map information in a building; a moving body control unit that controls the movement of the moving body on the basis of the map information stored in the first storage unit; the beacon terminal is arranged at a position corresponding to the equipment and is used for transmitting a beacon signal containing equipment identification information capable of uniquely determining the equipment; a second storage unit that associates and stores device identification information of the device and the closest coordinate point of the device in the map information stored in the first storage unit; and a transmission unit that transmits the closest coordinate point of the device and the device identification information of the device, which are stored in the second storage unit, to the moving object control unit. The moving body control unit moves the moving body on the basis of a nearest coordinate point of the device and a beacon signal including device identification information of the device.

The present application belongs to the technical field of disease prognosis prediction, and aims at the problem that the existing prognosis monitoring method for multidrug-resistant tuberculosis patients has certain limitations. The present application provides a multidrug-resistant tuberculosis prognosis prediction method, which integrates the manually made radiology features and the deep learning derived imaging features extracted from the baseline, two-month and six-month continuous CT scans, adopts a gated recurrent unit (GRU) network to process the data, and combines a multidrug-resistant tuberculosis prognosis prediction system to predict the treatment results of multidrug-resistant tuberculosis patients. The prediction method provided by the present application can accurately identify high-risk patients in the early stage of the treatment process, and provides strong support for personalized treatment decisions, optimization of intervention timing and reasonable allocation of public health resources. Moreover, the present application has higher sensitivity and specificity, and improves the potential of the accuracy of multidrug-resistant tuberculosis treatment result prediction and risk stratification.

Digital surveillance methods and systems are described. One example method relates to detecting disruptions to a computer network associated with an organization. Another example method relates to detecting abnormal activities on a computer network. The disclosed embodiments include techniques to analyze a unique and varied collection of publicly available signals associated with specific organizations to allow abnormal behaviors of a digital network to be detected.

The application relates to the technical field of artificial intelligence, can be applied to the field of digital medicine, and discloses an old population disease monitoring method and device, an electronic device and a storage medium. The method comprises the following steps: synchronously collecting physiological data, behavior data and environment data of a target old population; performing data cleaning processing and feature extraction on the collected data at an edge end to obtain multi-modal fusion features; inputting the multi-modal fusion features into a preset personalized health baseline model to perform real-time evaluation on the health risk of the target old population, so as to generate a risk evaluation result; triggering a corresponding early warning mechanism according to a risk level corresponding to the risk evaluation result; based on a warning triggering result, corresponding risk data is pushed to a family end, a community end and a hospital end through a preset standardized data interface, and corresponding risk intervention progress data and risk intervention result data are received. The method improves the comprehensiveness, safety and collaboration of old population disease monitoring.

The invention provides an intelligent safety monitoring method and system for a mobile CT ambulance, and the method comprises the steps: obtaining the radiation level of an adjacent region outside the ambulance, calculating an initial warning range around an ambulance cabin according to the radiation level, and laying a corresponding warning device in the initial warning range; a panoramic video image of the periphery of the ambulance cabin returned by the safety monitoring module outside the ambulance when the mobile CT runs is obtained in real time, the video image is analyzed, and a temporary control area outside the ambulance when the mobile CT runs is identified and delimited according to the position of the warning device in the panoramic video image; and monitoring irrelevant personnel entering the monitoring range of the safety monitoring module outside the vehicle in real time when the mobile CT is operated, analyzing the behavior mode of the irrelevant personnel, judging whether the behavior mode of the irrelevant personnel has the risk of entering the temporary control area, and if so, giving an alarm. The personnel entering the monitoring range are identified and analyzed, and the personnel possibly entering the control area are pre-warned, so that the personnel are prevented from entering the control area by mistake.

The invention relates to the technical field of infectious disease condition monitoring, and discloses an infectious disease condition monitoring method and system based on hospital infection data. The method comprises the following steps: acquiring infection data and extracting sparsity features, adjusting acquisition parameters based on the sparsity features to obtain an optimized data set, extracting infection rate features from the optimized data set and correcting deviation; adding noise to the corrected infection rate features to obtain a privacy protection data set; analyzing the interference degree of noise fluctuation in the privacy protection data set on the propagation trend, and optimizing the propagation trend to obtain a stable propagation trend; obtaining the protection degree of the privacy data after the noise is added, optimizing the collection parameters, calculating the propagation rate difference between the monitoring areas based on a stable propagation trend, recognizing a high-risk area, adjusting the collection parameters, and finally obtaining a target data set; and generating a real-time infectious disease monitoring report according to the target data set. According to the application, the monitoring efficiency of infectious disease infection is improved on the premise of ensuring data privacy.

The invention relates to the field of free-range chicken health monitoring, in particular to a free-range chicken health monitoring method and system based on excrement detection. The method comprises the following steps: acquiring an excrement image of free-range chickens through monitoring equipment, analyzing the excrement image to obtain a health index of a free-range chicken flock, constructing a matrix through chicken excrement obtained in an activity route of the free-range chickens on feeding management of the chicken flock and the health index, and constructing a monitoring sequence through the health index and temperature change of the chicken flock. And constructing a matrix through the data in the monitoring sequence, and obtaining a health monitoring result through matrix analysis. The health of the chicken flocks is further judged according to the health state of the chicken flocks determined according to body temperature changes and excrement, feeding management is adjusted according to the dynamic change of the health of the chicken flocks, the health state of the free-range chicken flocks is fed back more visually by monitoring the health of the chicken flocks, meanwhile, the feeding mode can be adjusted in time when the health state of the chicken flocks fluctuates, and the feeding efficiency is improved. A large range of diseases of fed chicken flocks are avoided.