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 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 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 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 disclosure provides an artificial intelligence detection system for deep-buried fuel gas pipeline leakage, including a multi-field source information collecting system, a data processing and analyzing system, and a monitoring and warning system, wherein the multi-field source information collecting system includes a concentration field collecting subsystem, a temperature field collecting subsystem, and a geoelectric field collecting subsystem; the concentration field collecting subsystem collects concentration field data; the temperature field collecting subsystem collects temperature field data; the geoelectric field collecting subsystem collects geoelectric field data; the data processing and analyzing system receives the concentration field data, temperature field data and geoelectric field data, calculates variations of the respective data, compares the variations with corresponding variation thresholds, and determines whether to generate a warning signal; the monitoring and warning system ala

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.