5results about How to "Take timely measures" patented technology

The present invention discloses a method and system for monitoring fall prevention safety of aerial work, the method includes obtaining physiological sign data and operation behavior data of aerial work personnel, use status data of fall prevention devices and environmental data; determining human risk index, equipment risk index and environmental risk index; judging whether there is a situation where the risk value among human risk index, equipment risk index and environmental risk index is greater than a first preset threshold value; if so, triggering an alarm prompt and generating a first operation guide to push to the aerial work personnel; if not, determining the fall risk value according to the human risk index, equipment risk index and environmental risk index, and when it is greater than a second preset threshold value, triggering an alarm prompt and generating a second operation guide to push to the aerial work personnel. The present invention takes into account more comprehensive risk factors, so that the fall risk value can be accurately predicted, and different operation guides are provided for different risks, thereby improving the energy efficiency of aerial work safety monitoring.

The invention provides an open sash unlocking identification method and system based on a deep neural network and background modeling, and the system comprises a camera which is used for capturing a video stream of a door and window region in real time; the deep neural network module is used for automatically identifying the position and contour of a window and outputting bounding box coordinates and classification labels of a window area; the background modeling and motion detection module is used for detecting motion states of doors and windows; the geometric analysis module is used for calculating the intersection-to-union ratio and the Euclidean distance between the window boundary frame and the motion area so as to evaluate and verify the detection result; the locking state judgment module is used for judging whether the door and window are not locked or not according to the detection result of the continuous frames; and the alarm and feedback module is used for triggering alarm and sending specific position and state information to management personnel. According to the invention, by combining the deep neural network and the background modeling technology, automatic detection of the unlocked state of the large-scale glass curtain wall building door and window is realized, the traditional manual detection is replaced, and the detection efficiency and accuracy are greatly improved.

The invention relates to a gas turbine moving blade temperature abnormity monitoring and visualized analysis method and system. The method comprises the steps that a real-time monitoring data set of a movable blade is obtained and input into an SVM anomaly classification model, and the SVM anomaly classification model outputs a data set classified according to the temperature; obtaining temperature abnormal points according to the classified data set; extracting position information in the temperature abnormal points, and performing clustering analysis; defining an area formed by the positions of three or more continuous clustering points as an ablative particle deposition area; and outputting the position information of the temperature abnormal points forming the ablative particle deposition area. Compared with the prior art, the method has the advantages that the time sequence characteristics of the ablated particle temperature can be effectively learned by adopting the SVM anomaly classification model, and the dynamic grading identification of the temperature is realized; through clustering analysis, temperature abnormity of at least three continuous measuring points can be identified, and accurate positioning of an ablation particle deposition overtemperature area is realized.

The utility model relates to the field of monitoring equipment with an early warning function, and discloses monitoring equipment with an early warning function, which comprises two fixing plates, early warning mechanisms are fixedly arranged at the upper ends of the inner sides of the two fixing plates, and second clamping blocks are fixedly arranged at the lower ends of the two early warning mechanisms. And telescopic mechanisms are arranged on the inner sides of the two second clamping blocks in a clamped mode, the two early warning mechanisms comprise shells, first clamping blocks are fixedly arranged at the upper ends of the inner sides of the two shells, the telescopic mechanisms comprise clamping rods, and threaded rods are arranged at the two ends of the inner sides of the clamping rods in a threaded mode. According to the well lid, the fixing plate can conveniently support and fix the whole mechanism, friction force is increased through the nails fixedly arranged on the outer side so that the fixing plate can be more stable in the supporting process, the early warning mechanism can conveniently conduct early warning on the well lid loosening and no danger, and the well lid can be kept stable in the rotating process; and the telescopic mechanism is convenient for adjusting the width of the mechanism.

The present application provides a kind of new method for identifying oil well measure effect based on production index straight line analysis, which includes: step 1, screening the bottom hole flowing pressure and oil production rate monitored in single well oil well production;Step 2, the data screened in step 1 is analyzed and processed to obtain the production index of quantitative measure effect;Step 3, the production index obtained in step 2 and the corresponding time are plotted in double logarithmic coordinate system;Step 4, the graph plotted in step 3 is linearly fitted, and the physical meaning of the inflection point of the straight line is identified in combination with oilfield site information;Step 5, the critical production index is obtained by using the straight line fitted in step 4 to identify the measure effect and the measure effective time.The new method for identifying oil well measure effect based on production index straight line analysis can effectively identify the oil well measure effect, and has the advantages of simple and fast identification, high identification rate, and is easy to popularize and use.