Abstract: A method for predicting snowmelt flood is provided. The method includes: acquiring rain and snow fall distribution data in a target area in a preset time period, and extracting precipitation characteristic data according to the rain and snow fall distribution data; acquiring temperature distribution data in the target area, acquiring a target temperature and a corresponding target time according to the temperature distribution data, and determining temperature characteristic data according to the target temperature and the target time; and determining a snowmelt flood risk level in the target area according to the precipitation characteristic data and the temperature characteristic data.

Abstract: A method for identifying a forest fire special dangerous terrain includes: obtaining raw digital elevation model (DEM) data of a valley and inverse raw DEM data of a ridge in a target area; extracting an elevation difference and a first derivative of a contour line within a preset range of the target area according to the raw DEM data and/or the inverse raw DEM data; calculating a danger level value of the target area based on the elevation difference and the first derivative of the contour line, in which, when the danger level value is greater than a preset threshold, it is determined that the target area is a dangerous terrain of a valley between two mountains or a narrow ridge.

Abstract: A method for evaluating a distribution of infected persons includes: acquiring an area to be processed, and dividing the area into a plurality of cells; acquiring personnel attribute information of each cell in each time window of a historical time period; determining a personnel flow probability from each cell to each other cell according to identifications of persons in each cell in each time window; evaluating, for each cell to be processed, personnel infection information of the cell after a time window according to current personnel infection information of the cell, a personnel flow probability from the cell to each other cell, a personnel flow probability from each other cell to the cell, and a preset epidemic model; and determining a distribution of infected persons in the area after the time window according to the personnel infection information of each cell to be processed after the time window.

Abstract: A method for predicting snowmelt flood is provided. The method includes: acquiring rain and snow fall distribution data in a target area in a preset time period, and extracting precipitation characteristic data according to the rain and snow fall distribution data; acquiring temperature distribution data in the target area, acquiring a target temperature and a corresponding target time according to the temperature distribution data, and determining temperature characteristic data according to the target temperature and the target time; and determining a snowmelt flood risk level in the target area according to the precipitation characteristic data and the temperature characteristic data.

Abstract: The present disclosure provides a method and a device for detecting a fault of a monitoring device. The method includes: obtaining monitoring data at a preset sampling period, wherein the monitoring data comprises monitoring values respectively corresponding to a plurality of sampling points; calculating a monitoring value change rate between each monitoring value and a following monitoring value based on the preset sampling period; performing normalization processing on each monitoring value to obtain a normalized monitoring value corresponding to each monitoring value; determining a first number of monitoring values each having the monitoring value change rate greater than a preset change rate threshold and the normalized monitoring value greater than a preset monitoring value threshold; judging whether the first number is less than a first preset number threshold; and determining that the monitoring device has a fault if no.

Abstract: The present disclosure relates to a method and a device for judging gas leakage, and an electronic device. The method includes: acquiring methane concentration data collected by monitoring devices, and generating a first function corresponding to the methane concentration data; acquiring a change rule of methane concentration in an inspection well during biogas accumulation, and generating a second function of the methane concentration changing with time; calculating a first correlation coefficient between the first function and the second function, and judging whether the first correlation coefficient is greater than a first preset threshold; acquiring a third function of gas consumption changing with time if no; and calculating a second correlation coefficient between the first function and the third function, judging whether the second correlation coefficient is less than a second preset threshold, and judging whether the gas leakage occurs based on the methane concentration data if no.

Abstract: A method and an apparatus for real-time data analysis of water pipe network are proposed. The method includes: step S1: obtaining a current flow data xi to be identified, where i is a positive integer greater than or equal to 2; step S2: determining whether a first difference between the current flow data xi to be identified and a previous identified flow data xi?1 adjacent to the current flow data xi to be identified is less than or equal to a preset threshold; step S3: determining whether a second difference between a next to-be-identified flow data xi+1 adjacent to the current flow data xi to be identified and the previous identified flow data xi?1 is less than or equal to the preset threshold in response to the first difference being greater than the preset threshold.

Abstract: The present disclosure relates to a method and a device for judging gas leakage, and an electronic device. The method includes: acquiring methane concentration data collected by monitoring devices, and generating a first function corresponding to the methane concentration data; acquiring a change rule of methane concentration in an inspection well during biogas accumulation, and generating a second function of the methane concentration changing with time; calculating a first correlation coefficient between the first function and the second function, and judging whether the first correlation coefficient is greater than a first preset threshold; acquiring a third function of gas consumption changing with time if no; and calculating a second correlation coefficient between the first function and the third function, judging whether the second correlation coefficient is less than a second preset threshold, and judging whether the gas leakage occurs based on the methane concentration data if no.

Abstract: The present disclosure provides a method and a device for detecting a fault of a monitoring device. The method includes: obtaining monitoring data at a preset sampling period, wherein the monitoring data comprises monitoring values respectively corresponding to a plurality of sampling points; calculating a monitoring value change rate between each monitoring value and a following monitoring value based on the preset sampling period; performing normalization processing on each monitoring value to obtain a normalized monitoring value corresponding to each monitoring value; determining a first number of monitoring values each having the monitoring value change rate greater than a preset change rate threshold and the normalized monitoring value greater than a preset monitoring value threshold; judging whether the first number is less than a first preset number threshold; and determining that the monitoring device has a fault if no.

Abstract: A method and an apparatus for real-time data analysis of water pipe network are proposed. The method includes: step S1: obtaining a current flow data xi to be identified, where i is a positive integer greater than or equal to 2; step S2: determining whether a first difference between the current flow data xi to be identified and a previous identified flow data xi?1 adjacent to the current flow data xi to be identified is less than or equal to a preset threshold; step S3: determining whether a second difference between a next to-be-identified flow data xi+1 adjacent to the current flow data xi to be identified and the previous identified flow data xi?1 is less than or equal to the preset threshold in response to the first difference being greater than the preset threshold.

Abstract: The present invention relates to a method for detecting fire with light section image to sense smoke. Infrared radiation arrays (1) and infrared cameras (2) are provided in a monitored area. The images of the infrared light spots transmitted by the infrared radiation arrays (1) are converted into video signals by the infrared cameras (2), and transferred to a video switcher (3). The video switcher sends the video signals received from the infrared cameras to a computer (4) one by one. The computer processes the signals. If fire is sensed, the computer controls the alarm unit (5) to alarm by a linkage.