414 results about "Flame detection" patented technology

The invention discloses a forest fire hidden danger identification method and device for a power transmission line based on a multi-modal large model, and the method comprises the steps: constructing a forest fire hidden danger identification model for a smog or flame-containing image outputted by a conventional target detection model, and enabling the model to guide a dialogue set through the combination with forest fire hidden danger identification, thereby achieving the recognition of the forest fire hidden danger. The dialogue context and the image visual features are fused, so that the deep fusion of the text semantics and the firework image features is realized; and finally, inputting the deeply fused features into a large language model, so that a forest fire hidden danger output dialogue of the power transmission line can be obtained by utilizing the deep semantic understanding capability of the large language model, and then a forest fire hidden danger recognition result of the power transmission line is obtained. Therefore, according to the invention, the judgment of whether the smoke and fire can damage the power transmission line is realized, the technology upgrade from smoke and fire existence detection to equipment threat research and judgment is completed, and on the basis, the problems of resource waste and untimely crisis response caused by reporting all smoke and fire information in the traditional technology can be avoided.

The invention provides a combustible gas leakage protection system, which is characterized in that a control module of the combustible gas leakage protection system judges whether the concentration of combustible gas is lower than a first concentration threshold value or not when receiving concentration information detected by a concentration detection module, and generates a first control instruction when the concentration of the combustible gas is not lower than the first concentration threshold value. The control module further generates a second control instruction when the combustible gas concentration is not lower than a second concentration threshold value and the flame detection module detects that no open fire exists, and generates a third control instruction when the combustible gas concentration is not lower than the second concentration threshold value and the open fire exists. And the protection module executes different protection actions according to different control instructions of the control module. According to the application, the response scheme is divided into three grades, and corresponding protection strategies are implemented according to the detection signals of different grades, so that the response sensitivity and accuracy when the combustible gas leaks can be remarkably improved.

The invention discloses a gas-phase combustion model construction method based on a dynamic self-adaptive grid, which comprises the following steps: establishing a steady-state flame control equation set according to the property of target fuel, and obtaining laminar flame velocities and laminar flame thicknesses under different conditions; establishing an unsteady-state reactive Navier-Stokes equation set, performing spatial filtering on each variable in the equation set, and constructing a sub-lattice scale turbulence model; coupling a thickened flame model and a disturbance factor model in the filtered equation set; limiting the encrypted area of the self-adaptive grid near a flame surface through a flame detection function; and solving the equation set to obtain a variable of a next time step, updating a disturbance factor and the number of layers of the adaptive grid, and re-dividing the adaptive grid of the layered block structure to realize dynamic tracking of the flame position and real-time adjustment of the grid resolution. According to the method, the disturbance factor and the grid encryption layer number can be adjusted in real time based on the laminar flame speed and the flame thickness in the current state, and the combustion modeling precision and the calculation efficiency are improved.

The invention discloses a safety and disinfection integrated system based on AI analysis linkage control electromagnetic valves, and relates to the technical field of intelligent fire fighting, and the safety and disinfection integrated system comprises a flame detection camera, a network input and output module, a safety and disinfection integrated machine, an execution module and an acousto-optic alarm bell. According to the security and disinfection integrated system for linkage control of the electromagnetic valve based on AI analysis, the advanced AI visual recognition technology and an electromagnetic valve linkage control mechanism are deeply fused, the efficiency and the precision degree of fire safety management are greatly improved, flame characteristics are precisely recognized by means of a deep learning model, and the safety and disinfection effect is improved. The limitation that traditional fire behavior detection is easily influenced by environmental factors is broken through, the accuracy and reliability of fire behavior recognition are greatly enhanced, the system supports multi-modal data fusion, the confidence coefficient of fire behavior judgment is further improved, adjacent electromagnetic valves can be automatically started according to the position of a fire behavior in the linkage control link, an effective fire extinguishing isolation belt is constructed, and the fire extinguishing efficiency is improved. And fire spreading is effectively restrained.

The invention relates to the technical field of computer vision, and discloses a flame recognition and fire extinguishing system for indoor fire fighting, comprising: a binocular infrared imaging module for acquiring a thermal imaging image; the monocular visible light imaging module is used for acquiring a visible light image; the infrared stereoscopic vision module is used for carrying out processing and feature extraction on the thermal imaging images, carrying out feature aggregation to obtain an aggregated feature map, carrying out parallax optimization on the aggregated feature map, and carrying out calculation according to a parallax optimization result to obtain depth information of the thermal imaging images at different visual angles; the multi-mode stereoscopic vision fusion module is used for fusing the thermal imaging image with the depth information and the visible light image; the flame identification and fire behavior prediction module is used for performing flame detection according to the fused image, predicting a bounding box, confidence and a category label of the flame in the fused image, and predicting a future diffusion position of the flame, a diffusion scale of the flame and a diffusion trend of the flame; and the self-adaptive water gun spraying control module controls the water gun to execute spraying operation.

The invention relates to the technical field of image processing, in particular to a flame detection method based on a multi-modal fusion image, which comprises the following steps: acquiring a visible light near-infrared thermal infrared image and matching positions, extracting multi-channel difference to generate a feature set, combining adjacent blocks to judge a direction and a brightness trend, and identifying a temperature rise gathering area. And combining the three types of images to confirm flame characteristics and position a detection result. According to the invention, by collecting visible light, near-infrared and thermal infrared images, cross-modal accurate alignment is realized by using interpolation, and the fusion effect is optimized. The flame area is accurately extracted according to the pixel deviation characteristics, and false alarm and missing alarm are reduced. The positioning precision is improved by combining block boundary tracking and temperature change analysis, and a flame target is effectively recognized in a complex environment. The multi-mode complementation enhances the adaptability of the system, and ensures that the system has high stability and robustness in a dynamic interference environment.

The invention relates to a coal mine flame pseudo fire interference suppression method based on time sequence consistency analysis, and belongs to the technical field of coal mine safety monitoring. According to the method, aiming at the problem of high false alarm rate of a flame detection system caused by false fire source interference such as electric welding sparks and mechanical friction in a mine environment, the flame identification accuracy is improved through time sequence consistency analysis. According to the technical scheme, the method comprises the following steps: acquiring an infrared spectrum flame saliency probability graph of continuous image frames in an underground coal mine; extracting a flame candidate region by adopting Otsu adaptive threshold segmentation in combination with morphological optimization and hole filling; and performing time sequence consistency analysis on the continuous frame candidate regions, and calculating the spatial overlapping degree, the morphological stability and the infrared thermal intensity change trend of adjacent frames. According to the method, the false fire false alarm rate is remarkably reduced, the robustness to complex backgrounds and dynamic illumination is enhanced, the method can be independently integrated to an existing infrared flame detection system or used in cooperation with a deep learning model, and the reliability of mine fire monitoring is improved.

This invention discloses a method and system for detecting wall radiation information through flame penetration. The method determines the radiation wavelength range, and within this range, establishes a wall radiation intensity detection model and a flame radiation intensity detection model, showing the distribution of wall radiation intensity and flame radiation intensity with radiation wavelength. It also obtains the radiation wavelength λ when the wall radiation intensity equals the flame radiation intensity. eq The peak wavelength λ when the wall radiation intensity is at its maximum. max When the radiation wavelength λ eq Less than the peak wavelength λ max At that time, the wavelength for detecting wall radiation information is the peak wavelength λ. max When the radiation wavelength λ eq Greater than the peak wavelength λ max At that time, the wavelength for detecting wall radiation information is the radiation wavelength λ. eq The wall radiation information is detected according to the detection wavelength determined above. The present invention finds a suitable band range for wall radiation detection by accurately quantifying wall radiation and flame radiation, and can obtain wall radiation information by penetrating the flame.

The invention discloses an infrared and ultraviolet flame detector with multiple safety redundancy and an anti-explosion control method, and relates to the technical field of flame detection, and the anti-explosion control method comprises the steps: S1, obtaining the multi-source fire data of a target object through a signal obtaining module; s2, analyzing the multi-source fire data through a dynamic coupling adjustment module; s3, performing time domain association verification on the first monitoring data through a time domain continuity verification module, and generating second monitoring data; and S4, the grading execution module sends an alarm signal according to the second monitoring data and adopts grading execution processing. Through ultraviolet polarization degree and dielectric constant dual-threshold triggering, interference of the metal reflective layer is stripped, so that the smoldering detection rate of a covered scene is increased from less than or equal to 60% to more than or equal to 95%; and moreover, the smoldering authenticity is subjected to cross validation through the bidirectional verification module, so that the problem of missing report of a traditional flame detector caused by a covering effect of'reflective interference 'on'smoldering monitoring' is avoided.

The invention discloses a liquid rocket engine combustion tail flame detection device and method, the device comprises an air inlet pipe, an exhaust pipe, a gas chamber packaging pipe and an intelligent controller, a plurality of detection devices such as a temperature sensor and a spectrum analyzer are arranged in the gas chamber packaging pipe along the airflow direction, and the detection devices are connected with the intelligent controller to form a data transmission channel; the detection method comprises the steps that the device is initialized, and all devices are calibrated and debugged; after the engine is started, tail flame parameters are detected in real time and transmitted to the intelligent controller; the controller performs preprocessing and deep analysis on the data; comparing an analysis result with a preset normal parameter range to judge the working state of the tail flame; and if normal, the data are backed up periodically, and the long-term trend of the performance of the tail flame can also be predicted. According to the method, the tail flame parameters can be comprehensively and accurately detected in real time, intelligent analysis and abnormal early warning are achieved, and the safety and reliability of an engine are improved.

The utility model discloses an oxyhydrogen burner for SOEC, which comprises a cylindrical steam generating device, and the outer wall of the steam generating device is connected with a pure water inlet pipeline and a steam outlet pipeline; a cylinder is sleeved with the steam generating device, the bottom of the cylinder is close to the bottom of the steam generating device, the lowest end of the cylinder is connected with an outlet pipeline, and the outlet pipeline protrudes out of the lower end of the steam generating device. The outer wall of the cylinder body is connected with a flame detection opening; a hydrogen inlet pipeline and an oxygen inlet pipeline are inserted above the outer wall of the barrel; a flame holder, a catalytic grating and a premixing device are arranged in the barrel. Fuel and air can be evenly mixed, combustion is sufficient, and the heat utilization rate is increased.

A flame detection system is disclosed. The flame detection system includes: an image capture unit configured to capture an image of a field of view (FOV); a flame detector configured to capture a first set of spectral band data and a second set of spectral band data; and a processor configured to classify the one or more images and the first set of spectral band data, assign a weight to each of the second set of spectral band data, receive a flame count for each of the second set of spectral band data, determine a weighted count for each of the flame counts, and determine a weighted count for each of the flame counts. A number of weighted counts exceeding its respective threshold is determined, and a flame is determined to be present within the FOV when the number is greater than or equal to a number threshold, and a flame is determined to be absent within the FOV when the number is less than the number threshold.

The invention discloses a flame detection method based on a visual large model. The method comprises the following steps: extracting a multi-scale context semantic enhancement feature map through a feature extractor in combination with a context aggregation module; the fire source positioning accuracy is improved by fusing multi-scale information through cross-layer feature two-way convolution transmission by using a two-way feature interaction module; sensing geometric features of a fire source through a dynamic adaptive point representation module, and screening samples to suppress interference in combination with density clustering and spatial constraint; a multi-task loss function containing classification, regression (generalized IoU and center distance IoU loss), multi-scale supervision and spatial constraint is constructed, and a model is trained in combination with an AdamW optimizer and a dynamic attenuation learning rate strategy. According to the method, small-scale fire source features can be effectively captured, complex background false detection is reduced, the detection precision on multiple data sets is superior to that of a traditional method, and the method is suitable for real-time monitoring and fire early warning of scenes such as hydraulic power plants.

The invention discloses a dual-band flame detection method and system based on visible light and near-infrared images. The dual-band flame detection method comprises the following steps: collecting a dual-band flame image, carrying out joint calibration on a visible light camera and infrared imaging equipment, and obtaining internal and external parameters of the visible light camera and the infrared imaging equipment; performing horizontal alignment on the collected visible light image and the infrared image by using distortion correction and epipolar correction; marking the visible light image and the near-infrared image after horizontal alignment, and constructing a dual-band flame data set; constructing a dual-band flame detection model based on visible light and near-infrared images; and training a dual-band flame detection model by using the dual-band flame data set, and monitoring flame information in the scene in real time by the trained dual-band flame detection model. Compared with an existing flame detection model, the detection precision is higher, and the anti-interference capability is higher.

The invention belongs to the technical field of boiler maintenance, and particularly relates to a boiler four-pipe foreign matter blockage early warning method and system. The method comprises the steps of obtaining boiler four-tube foreign matter blockage historical data; collecting boiler four-tube real-time state data of a reheater, an induced draft fan and a flame detection cooling fan; a fault mode-influence-risk mapping relation is established by adopting FMEA based on historical data, and a risk assessment framework is formed; generating an initial risk level; training a machine learning algorithm model by adopting historical data and generating a blockage probability; and dynamically adjusting the initial risk level according to the blockage probability, generating a final risk level and outputting a corresponding maintenance strategy. The system comprises a data acquisition module, an equipment monitoring module, a risk division module, a risk assessment module, a jam prediction module and a decision module. According to the scheme, the FMEA and the machine learning algorithm are fused, early warning, accurate risk assessment and dynamic maintenance decision making of boiler foreign matter blockage are achieved, and boiler operation safety and maintenance efficiency are improved.

The invention relates to the technical field of fire detection and early warning, in particular to an intelligent ultraviolet flame detection and early warning system and method suitable for complex industrial scenes. Comprising distributed multispectral ultraviolet detection nodes and a central processing early warning unit. The nodes carry out signal acquisition and preliminary identification through a multispectral sensor, local processing and high-precision time synchronization; and the central unit fuses multi-node data, performs three-dimensional flame positioning by using a TDOA algorithm, performs machine learning recognition and false alarm elimination, and performs trajectory tracking by using a Kalman filter so as to realize graded early warning linkage. According to the intelligent ultraviolet flame detection and early warning system and method suitable for the complex industrial scene, the problems that in the prior art, the false alarm rate is high, flame positioning is not accurate, trajectory tracking is missing, cooperative monitoring is limited and the like are solved or at least relieved, false alarms are effectively reduced, and the positioning precision, the tracking capacity and the early warning reliability are improved.

According to the flame detection method, system and equipment and the storage medium provided by the invention, the situation and the position of the flame can be judged in advance by detecting the site through ultraviolet rays and judging whether the flame appears or not, the flame can be detected under the condition that the flame is not developed into a large scale, the flame position can be subjected to multiple detections, and the flame detection efficiency is improved. According to the method, a plurality of detection results are combined to judge whether flames are evolved into flames or not, each technology performs detection and mutual complementary verification on the fire from different angles, misjudgment and missed judgment possibly generated by a single technology are reduced, the accuracy and reliability of fire detection are greatly improved, the generation of flames is quickly responded, and the detection efficiency is improved. And a user can take corresponding measures on the flame more quickly. The flame is detected in multiple detection modes, the position, spectrum, temperature and other multi-dimensional features of the flame are comprehensively considered, the real situation of the flame is more comprehensively known, and misjudgment possibly caused by single feature judgment is avoided.

The invention discloses an RH refining furnace control method and related equipment, and relates to the technical field of steel smelting, the method comprises the following steps: obtaining in-furnace color image data of a target RH refining furnace; performing flame state recognition on the color image data in the furnace through a first preset model to obtain a flame detection result; performing material adding action recognition on the color image data in the furnace through a second preset model to obtain blanking event information; performing metallurgy stage feature extraction on the color image data in the furnace through a third preset model to obtain a refining state recognition result; and according to the flame detection result, the blanking event information and the refining state recognition result, interlocking control operation is triggered. Automatic judgment and interlocking control of key working conditions of the RH refining furnace are achieved through multi-model image recognition, the control precision and the system stability can be improved, and energy conservation, consumption reduction and refining quality improvement can be achieved.

The embodiment of the invention discloses an explosion source flame detection method and system, and the method comprises the steps: collecting a multi-mode signal of an explosion source flame, and the multi-mode signal comprises an acoustic vibration type signal and an optical type signal; preprocessing the acoustic vibration type signal and the optical type signal to generate an acoustic vibration feature set and an optical feature set; performing topology analysis on the acoustic vibration feature set by using a persistent coherence algorithm to identify a dynamic behavior mode of the explosion source flame, and obtaining a dynamic behavior mode identification result of the explosion source flame; the dynamic behavior pattern recognition result and the optical feature set are converted into a symbol sequence through a symbolic dynamics algorithm, a cross-modal symbol pattern is analyzed through a transition probability matrix, and comprehensive feature representation of the explosion flame is generated; and based on the comprehensive feature representation, judging whether an explosion source flame exists through a classification algorithm, and outputting a detection result. According to the invention, high-precision explosion source flame detection suitable for a complex environment is realized.

The present invention discloses a laser ignition device and a laser ignition control method. The laser ignition device includes: a control host; a laser emitting device electrically connected to the control host and, under control of the control host, emitting a laser toward a target to ignite the target; and a flame identification device electrically connected to the control host and configured to detect a flame and output a corresponding flame detection signal to the control host. The control host is configured to control the laser emitting device to emit or stop emitting the laser based on the flame detection signal. The present invention can solve the problem of high energy consumption in existing laser igniters.

The invention discloses an industrial ignition gun, and relates to the field of ignition devices, the industrial ignition gun comprises an ignition assembly, a fuel gas conveying assembly and a flame detection assembly, a combustion area is formed on the same side of the ignition assembly, the fuel gas conveying assembly and the flame detection assembly, the fuel gas conveying assembly is used for conveying combustible gas to the combustion area, and the flame detection assembly is used for detecting the combustible gas. The ignition assembly is used for generating point discharge in the combustion area so as to ignite the combustible gas and form a high-temperature flame area; the flame detection assembly is used for collecting ion current signals of the high-temperature flame area. The method has the advantages that the flame detection accuracy is improved, and the equipment operation safety is improved.

The invention discloses a battery pack with a flame detection function. The battery pack comprises a plurality of battery cells and an acquisition board, the acquisition board is connected with the plurality of battery cells and is integrated with a detection circuit; the acquisition board is provided with a flame sensor and a temperature sensor corresponding to the positions of each battery cell pole, and is provided with a safety valve sensor corresponding to the position of each battery cell safety valve; the detection circuit comprises a battery acquisition chip, and a plurality of acquisition channels of the battery acquisition chip are connected with a plurality of detection branches; each detection branch comprises a flame sensor and a safety valve sensor, and the flame sensor and the safety valve sensor are connected with a common resistor in parallel and then connected with a thermistor in series. Through the above arrangement, the detection efficiency and reliability of the battery pack are higher.

The invention relates to a motor vehicle (100) with a refrigerant circuit (102) operated with a CO2 refrigerant, wherein an outlet (104) is provided on the refrigerant circuit (102), characterized in that the outlet (104) a) is configured to flood the engine compartment (106) with CO2 upon detection of an incipient fire by means of a sensor (108) located in the engine compartment (106) for flame detection, and / or b) is configured to be connected to a fire extinguishing valve (110) or directly to a fire extinguishing hose (112) such that the CO2 refrigerant from the refrigerant circuit (102) can be discharged via the fire extinguishing valve (110) and / or the fire extinguishing hose (112) at a discharge point (118) located remote from the outlet. The invention also relates to a method for extinguishing an incipient fire in a motor vehicle (100).

The utility model discloses a quick start detector for fire fighting, which belongs to the field of fire fighting and comprises a gas storage device, a gas inlet is arranged on the upper portion of the gas storage device, a gas outlet is arranged on the lower portion of the gas storage device, a hollow base is further connected in the lower portion of the gas storage device, and a plurality of flame detection windows are arranged on the side wall of the hollow base. The lower part of a gas outlet of the gas storage device and the upper part of the hollow base are coaxially provided with a temperature control release device, the lower part of the hollow base is internally connected with a locking nut, a temperature sensing glass column is arranged between the temperature control release device and the locking nut, and the side wall of the gas storage device is provided with a pressure release outlet. The fire-fighting quick-start detector replaces a traditional temperature detection continuous pressing structure, the quick-start detector is directly installed in a temperature detection area, when a fire alarm exists, a valve on a fire extinguishing agent bottle is quickly and stably started, safe release of chemicals in the fire extinguishing agent bottle is guaranteed, and the fire-fighting quick-start detector has great market value.

The invention provides a flame detection and stabilization combined device, and relates to the technical field of combustors. The device comprises a combustion chamber, a mounting base, a flame detection sensor and a flame stabilizer, the mounting base is connected to the interior of the combustion chamber, the flame detection sensor is connected with the mounting base, the flame stabilizer is connected to the flame detection sensor, and a backflow area is formed above the flame stabilizer. By connecting the flame stabilizer to the flame detection sensor, the device can complete the functions of flame detection induction and flame stabilization at the same time, and the flame stabilizer and the flame detection sensor can be combined and connected together, so that the occupied space is saved, the structural form is optimized, the design and manufacturing difficulty is greatly simplified, and the production cost is reduced; besides, different types of flame stabilizers and different types of flame detection sensors can be combined and matched for use according to actual use requirements, so that the use requirements of different application scenes are met.

The invention relates to the technical field of power distribution cabinet alarm systems, and provides a smart power grid power distribution cabinet alarm device and a power distribution cabinet, the smart power grid power distribution cabinet alarm device comprises an environmental data detection module, an alarm module, a fire extinguishing module, an intelligent identification man-machine interaction module and a central controller with a display, the alarm module comprises an early warning module and an acoustoelectric module, the environment data detection module comprises an arc light detection module, a smoke concentration detection module, a temperature detection module and a flame detection module, and the fire extinguishing module comprises a plurality of gas fire extinguishing controllers, a plurality of gas fire extinguishers and a gas source box. The environment data detection module monitors the conditions of temperature, smoke, sparks, electric arcs, carbon monoxide, carbon dioxide and the like in the power distribution cabinet, the monitoring conditions are uploaded to the central controller after detection is completed, various data can be checked on the display, and the central controller sends instructions to the alarm module and the fire extinguishing module to cooperate with prevention alarm, rapid fire extinguishing and power distribution cabinet protection.

The utility model provides a fire suppression device, which comprises a detection unit, a processing unit and an execution unit, and is characterized in that the detection unit at least comprises an infrared temperature sensor, a camera module with a flame recognition function and a laser ranging module, the infrared temperature sensor and the camera module with the flame recognition function are used for detecting flames, the laser ranging module is used for determining an ignition point, and the detection unit sends a detected signal to the processing unit; the processing unit is used for processing the received signal, sending the signal to the laser ranging unit according to a processing result, and sending the signal to the execution unit; and the execution unit is used for receiving the signal and executing fire suppression on the ignition point. The fire suppression device is compact in structure, high in flame detection and positioning accuracy, fast in fire suppression response, low in maintenance cost and high in cost efficiency performance.

The utility model relates to the technical field of instrument detection, in particular to a flame detector capable of displaying the detection range of an instrument, which comprises an instrument body, and a sensor array used for receiving flame signals is arranged in the instrument body. The instrument body is provided with a laser scribing mechanism, and the laser scribing mechanism comprises a turntable positioning seat, a turntable, an angle seat, a first laser pen and a second laser pen; the angle seat is provided with a central hole corresponding to an instrument detection center and a scribing hole corresponding to an instrument detection edge, the first laser pen is arranged in the central hole, and the second laser pen is arranged in the scribing hole; compared with the mode that a flame detecting instrument adopted in the traditional technology can only estimate the detection range during working, laser hinting scribing operation is added, the instrument detection range is clearer and more visible, the operation difficulty of on-site construction personnel is lowered, the on-site operation safety of the construction personnel is greatly improved, and therefore the flame detecting instrument has excellent practicability.

A battery safety monitoring system includes a central controller, a fault detection sensor, a flame detection apparatus, and a fire extinguishing apparatus. The fault detection sensor is configured to detect a fault in a target battery module and send fault information to the central controller. The central controller is configured to control the flame detection apparatus to perform flame detection on the target battery module based on the fault information. The flame detection apparatus is configured to send, when detecting a fire in the target battery module, fire information to the central controller. The central controller is further configured to control the fire extinguishing apparatus to start a fire extinguishing operation for the target battery module. There is no need to deploy excessive sensors. Instead, the flame detection apparatus is controlled to perform flame monitoring on the target battery module, to implement low-cost and accurate battery safety monitoring.

The invention relates to a biomass pyrolysis and charcoal material surface densification control technology, in particular to an end face directional whitening control method for chrysanthemum charcoal production, which specifically comprises the following steps: in a sectional box body, deeply carbonizing wood with uniform end face orientation; unlocking and whitening after the core-surface temperature difference delta T is judged to be less than or equal to 25 DEG C through multi-point temperature measurement and model estimation; in the whitening stage, an end face annular flow guide and radiation heat exchange coupling structure is adopted, the temperature in the box is increased to 850-950 / 1000 DEG C from 520 + / -20 DEG C at the speed of 10-18 DEG C / min, and O is controlled to be 5-9 vol%, the box pressure is 20-80 Pa, and the end face cross-flow wind speed is 2.0-4.0 m / s; and coating 1-3mm of ash within 0-180 seconds after whitening is finished, and then performing inert cooling to be within 450 DEG C under the condition that O is less than or equal to 3%. O / box pressure / flame detection / temperature four-interlocking and door area front chamber inerting are arranged. According to the method, the proportion and whiteness stability of the chrysanthemum grains can be remarkably improved, bursting and collapsing are reduced, the whitening time is shortened, and energy consumption is reduced.