4 results about "Flame" patented technology

This application relates to the field of security monitoring technology, specifically to a method and system for alarming upon flame extinguishing. The method includes: collecting flame status information within a monitored area; determining whether the flame is extinguished based on the flame status information; if it is extinguished, accumulating the duration of flame extinguishing; and triggering an alarm operation and the linkage control operation of field equipment when the accumulated duration of extinguishing meets a preset trigger condition. This application mainly addresses the technical problems existing in current flame status monitoring technologies, such as high reliance on manual intervention, low flame identification accuracy, lack of a flame extinguishing duration accumulation mechanism, poor alarm strategy adaptability, delayed equipment linkage response, and insufficient reliability.

This invention discloses a method, apparatus, device, and storage medium for determining exception stacks. The method includes: determining a flame graph corresponding to a preset task based on the stack of preset thread calls required to execute a preset task; constructing a task tree corresponding to the preset task based on the flame graph; determining an initial stack set based on the stacks corresponding to leaf nodes in the task tree and the stacks corresponding to non-leaf nodes whose stack time is greater than the average time; determining a target stack set based on the initial stack set; identifying the stack type of each target stack contained in the target stack set; and determining the exception stack in the target stack set based on the stack type of each target stack contained in the target stack set. This technical solution considers both non-business stack exceptions and business stack exceptions, enabling staff to promptly optimize the exception code corresponding to the exception stack when they learn that the exception stack is a business stack to resolve application exception issues and improve user experience.

This application discloses a flame target detection method and related equipment based on an improved YOLOv11 model. The method includes: acquiring the backbone network, neck network, and detection head of the YOLOv11 model; determining the replacement positions and number of convolutional modules to be replaced in the backbone network and neck network, and then replacing the corresponding convolutional modules with DSConv modules according to the replacement positions and number of replacements, thereby obtaining a first improved backbone network and a first improved neck network; embedding a first MSCA module into the first improved backbone network and a second MSCA module into the first improved neck network, finally obtaining an improved YOLOv11 model; and inputting a flame image into the improved YOLOv11 model for detection. This application can reduce the false detection rate and, without sacrificing the accuracy of flame feature extraction, reduce the computational load of the model and improve detection efficiency, and can be widely applied in the field of target detection technology.

The application discloses a monitoring method for a flame-proof and intrinsic safety type high-voltage combined vacuum power distribution device based on big data analysis, and relates to the technical field of power monitoring and protection.The method comprises the following steps: collecting operation parameters of the flame-proof and intrinsic safety type high-voltage combined vacuum power distribution device based on a monitoring system, collecting historical fault data, and performing a preprocessing operation to build a big data storage library.The application can accurately extract characteristic parameters related to different fault types and establish a fault type-characteristic parameter correspondence relationship library by using big data analysis technology to deeply analyze the operation parameters and historical fault data of the flame-proof and intrinsic safety type high-voltage combined vacuum power distribution device, so that the monitoring system can accurately determine the fault type according to the optimized locking strategy and accurate characteristic parameters in the real-time monitoring process, effectively reduce the misjudgment rate, improve the accuracy of fault diagnosis, provide a reliable basis for timely taking correct treatment measures, and ensure the safe and stable operation of equipment.