25 results about "Flame" patented technology

The invention discloses an explosion-proof and intrinsic safety type combined feeder switch state monitoring method based on big data, and relates to the technical field of industrial electrical equipment state monitoring and fault diagnosis, and the method is realized based on a three-level architecture constructed by an edge computing node, a region computing node and a cloud platform. Comprising the following steps: S1, collecting multi-source sensing data of a feeder switch in real time by an edge computing node, and performing feature extraction and fusion calculation on the multi-source sensing data; according to the method for monitoring the state of the explosion-proof and intrinsic safety type combined feeder switch based on the big data, the contradiction between the real-time performance and the accuracy in multi-source heterogeneous data fusion processing is effectively solved, abnormity can be found in the first time, early warning can be triggered, and the reliability of a diagnosis conclusion is improved; and the accuracy and foresight of fault diagnosis are ensured. According to the grading processing mechanism, computing resources are reasonably distributed, the network transmission load is greatly reduced, and the system can stably operate in a complex industrial environment.

The invention relates to the technical field of computer rendering, and discloses a dynamic effect processing method and device, electronic equipment and a program product, and the dynamic effect processing method provided by the invention simulates a flame effect in a virtual scene through combustion bitmaps of multiple cycles, and avoids uncertainty of a diffusion range caused by simulation of flame diffusion through particles. Meanwhile, as the combustion bitmap is used for simulating diffusion, flame diffusion simulation can be carried out without calculating the track and the drop point of each particle through a CPU, and the CPU pressure caused by the fact that a large number of particles in a particle system need to be simulated in the related technology is solved. In the rendering process, a map does not need to be added for each particle, the corresponding position in the virtual scene is directly rendered according to the combustion bitmap, the rendering process and the simulated flame diffusion process are separated, the occurrence of a large number of particles is reduced, and the load of the GPU can be reduced.

The application discloses a gas water heater and a control method thereof, which comprises the following steps: S1, obtaining an ignition command; S2, detecting and storing a flame current initial value I0; S3, discharging and igniting an igniter, opening a gas valve, detecting a flame current value I1 in real time, and obtaining a difference value AI=I1-I0; S4, judging whether the opening time AT is less than a first set time Tset1, if yes, executing step S5, and executing step S6; S5, judging whether the difference value AI is greater than a first current set value Iset1, if yes, outputting a flame signal, judging whether the difference value AI is less than a second current set value Iset2, if yes, outputting no flame signal; S6, judging whether the difference value AI is greater than a third current set value Iset3, if yes, outputting the flame signal, judging whether the difference value AI is less than a fourth current set value Iset4, if yes, outputting no flame signal; wherein, Iset1=Iset2+I 回差1 , Iset3=Iset4+I 回差2 ; Iset3 is greater than Iset1; and Iset4 is greater than Iset2. The application can adapt to the change of environment to judge the presence or absence of the flame signal.

The invention relates to the technical field of art burning, and discloses an art burning control method and system, a storage medium and electronic equipment, and the method comprises the steps: responding to a target time sequence formula selected by a user, and according to the start-stop time sequence and the working time length of each type of target art burning device contained in the target time sequence formula, controlling the target art burning device according to the start-stop time sequence and the working time length of each type of target art burning device; each type of target art burning device is controlled to carry out ignition or flameout operation; inputting current meteorological parameters collected in real time into the optimized RBF neural network to obtain predicted PID control parameters; and based on the predicted PID control parameters, adjusting the opening degree of an electric adjusting valve of each type of target art burning device so as to enable the flame height and the burning posture to adapt to environmental changes. The problems of manual control, fixed time sequence and difficulty in dynamic adjustment of existing art fire can be solved, dynamic adjustment of the time sequence of art fire and self-adaption of flame to environment change are realized, and the flexibility and effect of art fire control are improved.

The utility model discloses a storage type flame-retardant data line, which comprises an upper storage shell and a lower storage shell which are fixed with each other, the left and right sides of the upper storage shell and the lower storage shell are respectively provided with a line outlet groove, the upper storage shell and the lower storage shell are respectively provided with a flame-retardant cavity, a line placing part is arranged between the upper storage shell and the lower storage shell, and the line placing part is provided with a wire outlet groove. A line placing part is arranged on the upper storage shell, a data line is wound on the line placing part, a rotating mechanism capable of driving the line placing part to rotate is arranged in the flame-retardant cavity, a locking mechanism capable of locking and unlocking the line placing part is arranged in the flame-retardant cavity, and the outer skin of the upper storage shell, the outer skin of the lower storage shell and the outer skin of the data line are all made of TPE materials. A user can conveniently pull out the data line and automatically recycle the data line, and the flame retardant effect of the data line can be enhanced.

The present application belongs to the technical field of digital computing or data processing equipment or method specially applied to specific application, discloses a method for analyzing the jet flow of a flame gun, establishes a mathematical model and a discrete method for the jet flow of the flame gun, and performs jet flow analysis based on the model; the calculation domain of the jet flow of the flame gun comprises a nozzle part and a jet flow part, the width of the calculation domain below the nozzle of the flame gun is set to 1.5 m, and the width above the nozzle is set to 0.5 m; in the boundary conditions of the calculation domain, the nozzle inlet is set as a velocity inlet, the nozzle pipe boundary is set as a wall surface, the ground is also set as a wall surface, and other boundaries are set as pressure outlets; the Reynolds average method is adopted to model the turbulent flow; the k-ε model is adopted to construct a turbulent flow model, and a two-layer wall surface model is introduced; the VOF model is adopted as a multiphase flow model; and the finite volume method is adopted to disperse the control equations. The present application solves the problem that the jet flow of the flame gun can be conveniently analyzed by constructing a jet flow model of the flame gun.

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 relates to the field of flame arresters, and discloses a flame arrester monitoring device and method. The monitoring device includes: a detection unit for detecting a blockage signal from the flame arrester; a processing unit for storing a pre-established relationship model between the blockage signal and the degree of blockage, and using the relationship model to calculate the degree of blockage of the flame arrester based on the blockage signal detected by the detection unit; and a display unit for displaying a signal indicating the degree of blockage of the flame arrester. The technical solution provided by this invention can improve the accuracy of monitoring the degree of blockage of flame arresters and enhance the operational safety of flame arresters and gas pipelines.

Flame mitigation devices meeting all applicable regulatory requirements are described. The system includes a mesh element affixed to a closure fitment that is specially designed to couple to a rounded bead or edges on a container neck. Tamper-evident and child resistant features can be incorporated at the interfaces of the closure fitment and a cap that is removably attachable to the closure, whereas the closure is effectively coupled to the container in a permanent a manner

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.

The application discloses a flame detection method and system in a multi-source scene, first constructs a flame data set in a multi-source scene; secondly, a jump connection is designed to improve a pyramid feature dynamic extraction module in a PS-Net (progressive selection network), so that the detection capability of the model for small flame targets is improved; then, a flame feature attention mechanism is designed to improve a scale perception fusion module in the PS-Net, so that the inhibition capability of the model for similar shape feature interference is strengthened; subsequently, a decoder structure is designed to reduce the influence of similar color feature interference on the detection result; finally, a PS-Net+ model after training and testing is used for flame detection. The flame detection method in the multi-source scene of the application is helpful to realize high-precision detection of flame targets in a multi-source scene, and provides technical support for quickly and accurately finding flame targets in reality and timely solving safety hazards caused by the flame.

To enable a tester to safely and efficiently confirm whether a multi-wavelength type flame detector operates normally or not.SOLUTION: A flame detection system 1 includes a flame detector 11, a disaster prevention reception panel 12 communicatively connected to the flame detector 11, a server device 13 communicatively connected to the disaster prevention reception panel 12, and a tester 14 capable of communicating with the server device 13. The flame detector 11 is, for example, a two wavelength flame detector. In the test mode, the flame detector 11 transmits a flame detection signal to the disaster prevention reception panel 12 when detecting a flame in response to test light emitted from the tester 14. When receiving the flame detection signal from the flame detector 11, the disaster prevention reception panel 12 transmits a notification of flame detection to the server device 13. When receiving the notification of flame detection from the disaster prevention reception panel 12, the server device 13 transmits a reception notification to the tester 14. When receiving the reception notification from the server device 13, the tester 14 notifies the user of the reception of the reception notification.SELECTED DRAWING: Figure 1

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.

A system is provided.SOLUTION: A system comprising: means for receiving posting data; means for analyzing the received posting data and comparing the posting data with past burning cases; means for evaluating a burning risk based on an analysis result; means for transmitting a warning to a user when the burning risk is high; means for generating substitute information for reducing the burning risk; and means for transmitting the warning and the substitute information to a user terminal.SELECTED DRAWING: Figure 1

The invention discloses an explosion-proof and intrinsic safety type high-voltage combined vacuum power distribution device monitoring method based on big data analysis, and relates to the technical field of power monitoring protection, and the method comprises the following steps: collecting the operation parameters of an explosion-proof and intrinsic safety type high-voltage combined vacuum power distribution device based on a monitoring system, and collecting the historical fault data, and performing preprocessing operation to construct a big data storage library. Through the big data analysis technology, the operation parameters and historical fault data of the explosion-proof and intrinsic safety type high-voltage combined vacuum power distribution device are deeply analyzed, the characteristic parameters related to different fault types can be accurately extracted, and the fault type-characteristic parameter corresponding relation library is established, so that the monitoring system can accurately monitor the fault types in the real-time monitoring process. According to the optimized locking strategy and the accurate characteristic parameters, the fault type can be accurately judged, and the misjudgment rate is effectively reduced, so that the accuracy of fault diagnosis is improved, a reliable basis is provided for taking correct processing measures in time, and safe and stable operation of equipment is guaranteed.

The invention particularly relates to a flame detection method and device based on an edge adaptive Transform architecture, and the method comprises the steps: collecting flame images and video data of different scenes, precisely marking flame position information to construct a flame detection data set, and dividing the flame detection data set into a training set and a test set; executing a data augmentation operation on the flame detection data set; constructing a flame detection network, wherein the flame detection network comprises a trunk feature extraction network optimized by MobileViT and a neck feature fusion network optimized by ECA-Net; the training set is input into a flame detection network for training, an Adam is selected as an optimizer, and a generalized intersection-to-parallel ratio GIoU loss function is adopted as a loss function; and performing actual detection on a flame target based on the trained flame detection network, and outputting a flame detection result. By virtue of the advanced target detection capability of the improved YOLOv8, high-precision flame detection can be realized in various complex environments, so that the safety and efficiency of flame treatment are remarkably improved.

The application discloses a flame detection method and device based on multi-frequency perception and dynamic coding and a server, and belongs to the technical field of target detection. The method comprises the following steps: shallow basic features are extracted from an image through a convolution layer and C2f, and then first-level multi-domain enhanced features and second-level deep enhanced features are obtained through twice convolution and a CSP_HPMB module; the shallow basic features, the first-level multi-domain enhanced features and the second-level deep enhanced features are input into a mixed encoder, convolution, up-sampling, AIFI-DCL and EGConvC3 reconstruction are performed, and shallow fine fusion features, middle cross-scale alignment features and deep global modulation features are generated; and the shallow fine fusion features, the middle cross-scale alignment features and the deep global modulation features are connected and then input into a decoder to generate a flame detection result. Through the network architecture of multi-level feature extraction, multi-domain enhancement and cross-scale fusion decoding, the aerial flame image detection is realized.

The invention discloses a flame map data analysis method and device and electronic equipment, and the method comprises the steps: at least obtaining the current version of flame map data and a Gitlab submission record related to the current version of flame map data after the pressure measurement of the application performance is completed, converting the format of the current version of flame map data into a Flat format, and transmitting the Flat format to a server; and performing performance analysis on the current version flame diagram data in the Flat format by using an AI large model to find out performance problem data, finding out a corresponding project name and a code branch name according to a Gitlab submission record to call a Gitlab MCP service to find out a source code file related to the performance problem data, and outputting a corresponding code improvement suggestion for the source code file. According to the method, the flame graph data is automatically analyzed through the AI large model, so that rapid and objective performance bottleneck positioning is realized; the source code file associated with the performance problem data is obtained through the Gitlab MCP service, and the code improvement suggestion is generated, so that the overall time consumption of the analysis process is shortened.

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.

The invention discloses a flame recognition circuit and a jet fire extinguishing system, and relates to the technical field of fire protection and security. Comprising an ultraviolet identification module which is used for monitoring ultraviolet radiation in a target monitoring environment and generating a first driving signal in response to the condition that an ultraviolet monitoring signal in the target monitoring environment accords with flame radiation characteristics; the infrared recognition module is used for monitoring infrared radiation in the target monitoring environment and generating a second driving signal in response to the fact that an infrared monitoring signal in the target monitoring environment conforms to flame radiation characteristics; the first end of the main controller is electrically connected with the ultraviolet identification module, and the second end of the main controller is electrically connected with the infrared identification module; the main controller is used for driving the infrared recognition module to monitor infrared radiation in a target monitoring environment in response to the first driving signal; and the processor is used for responding to the first driving signal and the second driving signal and determining that flames appear in the target monitoring environment.

The system according to the embodiment aims to automatically reduce the risk of information leaks and flame wars caused by employee posts. [Solution] A system according to an embodiment includes a learning unit, a checking unit, a correcting unit, a warning unit, and a generating unit. The learning unit learns a security policy. The checking unit checks posted text based on the security policy learned by the learning unit. The correcting unit automatically corrects posted text checked by the checking unit. The warning unit displays a warning based on confidential information or a risk of flaming detected by the checking unit. The generating unit generates a report based on the results of the checking unit and the correcting unit.

The invention discloses a flame detection probe cleaning method, system and equipment and a storage medium, and relates to the technical field of automatic monitoring and control, and the method comprises the following steps: cleaning a flame detection probe, and starting an enhanced cleaning process when the effect does not reach the standard until the flame signal intensity data is not less than a signal recovery threshold value; the system comprises a signal acquisition module, a state diagnosis module, a cleaning decision module and an instruction execution module. According to the invention, the flame signal is obtained on line and compared with the double thresholds, so that accurate diagnosis of the actual pollution state of the probe and automatic triggering of the cleaning process can be realized; meanwhile, progressive cleaning logic is constructed based on a pollution diagnosis result, preliminary cleaning and enhanced cleaning can be achieved, closed-loop circulation control over removal of stubborn attachments is further achieved, and thoroughness of cleaning is ensured; finally, on the basis of full-automatic and on-demand cleaning, long-term reliability of flame signals is effectively guaranteed, unit mis-tripping caused by signal distortion is prevented, and operation safety and economic benefits are remarkably improved.

1. The name of the design product: the main body of the flame extinguishing dynamic graphical user interface of electronic equipment. 2. The use of the design product: an electronic device. 3. The design points of the design product: the graphical user interface of the claimed part. 4. The picture or photo that best indicates the design points: front view. 5. The use of the graphical user interface: the main body and the whole are used to display the dynamic change process of the flame extinguishing in the image. 6. The change state description of the graphical user interface: the front view is an image display interface, which includes a cake, a candle and a flame. When continuously blowing the electronic device, repeatedly clicking the flame in the interface, or repeatedly sliding the flame in the interface, it is switched to change state figures 1 and 2 in turn, showing the dynamic change process of the flame extinguishing. 7. Other circumstances that need to be explained: the blue translucent covered area in the interface is not claimed, and the covered area includes the cake and the candle in each view.

The application discloses a flame detection method and device, electronic equipment and a readable storage medium. The method comprises the following steps: receiving a first alarm signal, wherein the first alarm signal is used for indicating that a flame is detected in a region; after receiving the first alarm signal, it is judged whether a second alarm signal is received, wherein the second alarm signal is used for indicating that a flame is detected in the region, and the second alarm signal is sent by other flame detection systems in the multiple flame detection systems after detecting the flame; in the case that at least one second alarm signal is received, it is determined that a fire occurs in the region, and a fire alarm is performed. The application solves the problem of waste of fire-fighting resources caused by misjudgment when using one flame detection system to detect in the prior art, thereby reducing the misjudgment rate of flame judgment and providing a technical guarantee for improving the accuracy of fire warning.