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Electric power key indicator abnormity rapid detecting method and device

InactiveCN103698637ASolve efficiency problemsSolve problems that are easy to missCircuit arrangementsElectrical testingLower limitPower grid
The invention relates to an electric power key indicator abnormity rapid detecting method and device. The method comprises the steps of collecting some KPI (Key Performance Indicator) data on each detection point of a power grid to form a sequence composed of a group of KPI data; performing normalization processing on the upper limit value and lower limit value of the KPI data collected at each detection point; displaying the upper limit value and the lower limit value which are subjected to normalization processing in polar coordinates at the same time; respectively displaying the upper limit value and the lower limit value of the KPI data collected at each detection point, which are subjected to normalization processing, on the peripheries of concentric circles; when the polar coordinate values of the KPI data of the detection points are displayed on an annular belt between an inner circle and an outer circle, the KPI data are taken as normal data and are displayed in data points; the KPI data of the detection points of which the polar coordinate values are displayed outside the annular belt are taken as abnormal data; displaying numerical values and equipment information at the points corresponding to the abnormal data. According to the method, a dispatcher can rapidly master the running state of the power grid, deals with the abnormity in time, and does not need to pay attention to a great amount of normal data, and the power generation adjustment decision-making efficiency of the dispatcher is effectively improved.
Owner:YUNNAN ELECTRIC POWER DISPATCH CONTROL CENT +1

Electronic programme arrangement system and method with color cuing display

The invention relates to a system and a method provided with an electronic calendar schedule with color prompt and display, and aims to solve the problem that a user of the prior electronic calendar has to gradually look over journey events in each data block to obtain journey amount of a specific time interval. Through calculating total weighted values of each data block in the specific time interval, the method converts the total weighted values into display with different color changes to prompt on the electronic calendar, and can achieve the effect of quickly and clearly promoting the journey amount in the time interval to be searched by a user.
Owner:INVENTEC CORP

A method and device for rapidly detecting abnormality of key electric power indicators

The present invention relates to a method and device for fast abnormal detection of key electric power indicators. In the method, a certain KPI data is collected at each detection point of the power grid to form a series of KPI data, and then the upper and lower levels of the KPI data collected at each detection point are The limits are normalized respectively, and the normalized upper limit and lower limit are simultaneously displayed in a polar coordinate, and the upper and lower limits of the normalized KPI data collected by each detection point are respectively displayed in concentric circles On the circumference of the circle, the polar coordinate value of the KPI data of the detection point is displayed in the annular zone between the inner circle and the outer circle as normal data and displayed as data points, and the polar coordinate value is displayed in the KPI of each detection point outside the annular zone The data is abnormal data, and the value and equipment information are displayed at the corresponding point of the abnormal data. This method enables dispatchers to quickly grasp the operating status of the power grid, handle abnormalities in a timely manner, and does not need to pay attention to a large amount of normal data, and effectively improves the decision-making efficiency of dispatchers for power generation adjustment.
Owner:YUNNAN ELECTRIC POWER DISPATCH CONTROL CENT +1

A method for preventing rear-end collision of automobile

The invention relates to a rear collision avoidance method for an automobile. The method comprises the following steps of: 1) calibrating a camera; 2) identifying the distance of front and back automobiles in each image acquired by the automobile in continuous two frame images and acquiring the time interval between the continuous two frame images so as to solve the current relative speed of the two automobiles front and back; 3) acquiring the current acceleration and the current travelling speed of the automobile from an inertial navigation system and solving the safe distance of the two automobiles according to the current traveling speed; 4) if the distance in the second frame image is smaller than the safe distance, entering the step 5), otherwise, entering next frame image processing; 5) integrating the safe distance at the relative speed, the current acceleration and the current speed of the front and back automobiles and the distance at the second frame image to judge whether the distance between the front and back automobiles has the hidden danger of rear collision and immediately and continuously sending alarm; and 6) repeating the steps 2)-5) to till the automobile stops. The method provided by the invention has the advantages of being high in reliability and accuracy, fast in alarm sending speed and etc.
Owner:GUANGDONG UNIV OF TECH

Heating furnace management and control device based on Internet of Things and abnormity alarm system

The invention discloses a heating furnace management and control device based on the Internet of Things and an abnormity alarm system. The abnormity alarm system comprises acquisition, analysis and processing, division, update amplification and final reconstruction error comparison. The method comprises the steps that firstly, real-time data of all plc point locations in the operation process of a heating furnace are collected through a longitudinal edge gateway, and secondly, modeling analysis and processing are conducted on data transmitted from the edge side at the cloud end through a data processing module through the cloud technology, the big data platform technology and the algorithm platform technology; step 3, dividing the original features into a plurality of sub-feature space sets by using an aggregation hierarchical clustering algorithm by using a feature mapper; the objective of the invention is to provide a neural network algorithm based on an auto-encoder based on the Internet of Things technology and the cloud and edge computing technology, and in combination with the big data technology, abnormal working conditions are judged, so that alarm information is prompted timely, quickly and accurately, and prediction and warning are performed through the big data alarm level, so that further part troubleshooting is performed in advance, and the work efficiency is improved. And risks and hidden dangers are avoided.
Owner:SHENZHEN JIAYUNTONG ELECTRONICS
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