CN115908278A

CN115908278A - Method, device and system for monitoring temperature of combustion furnace end and storage medium

Info

Publication number: CN115908278A
Application number: CN202211354678.0A
Authority: CN
Inventors: 郭峰; 沈科; 王亚靖; 黄绍先; 林诗皓; 林智聪
Original assignee: Xiamen Tobacco Industry Co Ltd
Current assignee: Xiamen Tobacco Industry Co Ltd
Priority date: 2022-11-01
Filing date: 2022-11-01
Publication date: 2023-04-04

Abstract

The disclosure relates to a method, a device and a system for monitoring temperature of a combustion furnace end and a storage medium. The method comprises the following steps: carrying out temperature measurement and video shooting on a detection part of the combustion furnace head through an online thermal imaging camera to obtain temperature measurement data and video data, wherein the temperature measurement data is an infrared thermal image; and performing line temperature analysis, isothermal analysis, temperature field gradient distribution analysis and maximum continuous load hot spot temperature analysis on the detection part of the combustion furnace head according to the temperature measurement data and the video data. The temperature of the furnace end of the combustion furnace can be monitored in real time on line, and the analysis effectiveness of the temperature measurement technology is improved.

Description

Method, device and system for monitoring temperature of combustion furnace end and storage medium

Technical Field

The disclosure relates to the technical field of temperature monitoring of equipment in the tobacco industry, in particular to a method, a device and a system for monitoring the temperature of a combustion furnace end and a storage medium.

Background

In the cigarette processing industry, diesel oil is generally adopted as energy power for controlling the temperature of a burner of a combustion furnace, and accidents such as fuel oil pollution and air pollution caused by fuel oil leakage, hearth breakage leakage and the like sometimes occur in the process of using fuel oil, so that serious threats are brought to the safety production of cigarettes. Therefore, safe use of fuel has been a major concern in cigarette factories.

The detection and monitoring of the burner of the combustion furnace commonly used in the related art are mainly divided into two types: 1. a hand-held heat gun is adopted; 2. an intelligent temperature detection camera is adopted.

Disclosure of Invention

The inventor finds out through research that: the related-art handheld camera is seriously influenced by the service level of an operator and environmental conditions, the running state of a combustion furnace head in a workshop cannot be monitored in real time, and temperature measurement data cannot truly reflect the state of equipment under specific environmental conditions; the temperature measurement of the intelligent camera in the related art is not only influenced by environmental climate, but also has problems when the detection part of the equipment needs to be accurately positioned; the temperature detection of the related art has no standard temperature shooting flow, and temperature thermal images shot by the same equipment at different times cannot be uniformly compared due to different angles and sizes.

In view of at least one of the above technical problems, the present disclosure provides a method, an apparatus, and a system for monitoring a temperature of a burner of a combustion furnace, and a storage medium, which can monitor the temperature of the burner of the combustion furnace on line in real time.

According to an aspect of the present disclosure, there is provided a combustion burner temperature monitoring method, including:

carrying out temperature measurement and video shooting on a detection part of the combustion furnace end through an online thermal imaging camera to obtain temperature measurement data and video data, wherein the temperature measurement data is an infrared thermal image;

and performing line temperature analysis, isothermal analysis, temperature field gradient distribution analysis and maximum continuous load hot spot temperature analysis on the detection part of the combustion furnace head according to the temperature measurement data and the video data.

In some embodiments of the present disclosure, the performing temperature measurement and video shooting on the detection portion of the combustion furnace end by using the online thermal imaging camera further includes at least one of the following steps:

positioning an abnormal temperature position through the temperature measurement data;

and extracting the boundary of the infrared thermal image as image model data.

In some embodiments of the present disclosure, locating an abnormal temperature location from the thermometry data comprises:

collecting temperature distribution array data through a thermal imaging camera, wherein the thermal imaging camera comprises a temperature sensing device, the temperature sensing device comprises a plurality of infrared array temperature measurement sensors, and each infrared array temperature measurement sensor is used for collecting a temperature array with an actual area in an effective interval;

under the condition that the abnormal temperature occurs in the area corresponding to one infrared array temperature measurement sensor, if the abnormal temperature is in the pixel position in the temperature array, the actual position of the abnormal temperature is determined according to the infrared light of the infrared array temperature measurement sensor and the current height of the temperature sensing device.

In some embodiments of the present disclosure, said extracting the boundary of the infrared thermal image as image model data comprises:

carrying out binarization processing on the measured object area in the infrared thermal image;

extracting edges by adopting a dual-threshold edge, and connecting the edges into a contour so as to close the edges of the whole image;

vectorizing the extracted contour to generate a vector diagram of the measured object;

and performing full-transparency processing on pixels outside the outline of the model, and performing semi-transparency processing on pixels of the outline of the model map.

In some embodiments of the present disclosure, the combustion burner temperature monitoring method further comprises:

determining the fuel oil combustion state according to the temperature measurement data and the video data;

and judging whether the fuel output and the temperature value of the combustion furnace end are abnormal or not according to the fuel flow data of the combustion furnace and the fuel combustion state.

In some embodiments of the present disclosure, the determining the fuel combustion state according to the temperature measurement data and the video data includes:

extracting an image in the furnace end of the combustion furnace, dividing the image in the furnace end of the combustion furnace into state values in various temperature states;

extracting combustion characteristics in the state values under each temperature state, and comparing the combustion characteristics in the image in the furnace end of the combustion furnace with the characteristics under each temperature state to obtain a fuel flow and fuel combustion state judgment comparison set;

analyzing the state types of which the characteristic matching coefficients are larger than the set matching degree coefficient threshold value in the images under the temperature states, screening the component proportion coefficients occupied by the combustion state types in the images of the furnace end of the combustion furnace, and comparing the component proportion coefficients occupied by the combustion state types with the set component proportion coefficient threshold value to extract the fuel oil combustion state types larger than the component proportion coefficient threshold value;

and comparing the combustion states of all the burner of the combustion furnace, which are greater than the threshold value of the component proportionality coefficient, with the pre-stored fuel flow and fuel combustion states in various fuel states respectively so as to screen out the combustion state types matched with the burner states of the combustion furnace.

In some embodiments of the present disclosure, said determining whether the fuel output and the burner temperature value are abnormal according to the fuel flow data of the combustion furnace and the fuel combustion state comprises:

detecting data through a fuel detection device to judge whether fuel is output or not, and detecting data through a thermal imaging camera to judge whether the output fuel is in a combustion state or not;

the fuel detection device detects data to judge whether fuel is continuously output and reaches a flow peak value, and meanwhile, the thermal imaging camera detects data to judge whether the fuel is in a high-temperature combustion state and reaches a continuous combustion time peak value.

In some embodiments of the present disclosure, the combustion burner temperature monitoring method further comprises at least one of the following steps, wherein:

sending out an early warning signal according to the abnormity judgment result, and timely reminding maintenance personnel;

automatically closing an electric fuel valve of a fuel output pipeline according to the abnormal judgment result;

and controlling the thermal imaging camera device to record videos so as to call the videos in the future and analyze the reasons of abnormal temperature monitoring of the burner of the combustion furnace.

In some embodiments of the present disclosure, the issuing of the warning alarm signal according to the abnormality determination result includes at least one of the following steps:

when the thermal imaging camera detects that the combustion state is not available and the fuel oil detection device detects that the fuel oil is continuously output, judging that the fuel oil is in a fuel oil leakage state, sending an alarm signal, and sending the alarm signal to a maintenance terminal through a communication network;

sending out a fire alarm signal under the condition that the thermal imaging camera detects that the thermal imaging camera is in a combustion state and the fuel oil detection device detects that no continuous fuel oil is output, and simultaneously sending the alarm signal to a maintenance personnel terminal through a communication network;

when the fuel oil detection device detects that the fuel oil is continuously output and reaches a peak value, and the thermal imaging camera detects that the fuel oil is in a combustion state and the continuous combustion time reaches the peak value, the abnormality of the fuel oil channel valve is judged, an alarm signal is sent out, and meanwhile, the alarm signal is sent to a maintenance personnel terminal through a communication network.

In some embodiments of the present disclosure, the method of monitoring a temperature of a combustion burner further comprises:

acquiring an image of flame of a burner of a combustion furnace, marking the flame and a fire source, constructing a data set, and dividing the data set into a training set and a testing set;

preprocessing an input layer by adopting a preset data enhancement mode, and performing model training by using weights of the pre-training until the model converges;

pruning the model obtained by training, training the obtained result again by using the original data set until convergence, and repeating the process for a preset number of times to obtain an identification model;

and acquiring a blank background picture and a part of pictures randomly extracted from the original data set by a camera to form a new data set, and simultaneously performing transfer learning on the identification model to obtain a detection model suitable for the current environment in the factory.

According to another aspect of the present disclosure, there is provided a combustion furnace end temperature monitoring device, including:

the data acquisition module is used for carrying out temperature measurement and video shooting on the detection part of the combustion furnace end through an online thermal imaging camera to obtain temperature measurement data and video data, wherein the temperature measurement data is an infrared thermal image;

and the data analysis module is used for carrying out line temperature analysis, isothermal analysis, temperature field gradient distribution analysis and maximum continuous load hot spot temperature analysis on the detection part of the combustion burner according to the temperature measurement data and the video data.

In some embodiments of the present disclosure, the combustion burner temperature monitoring device is configured to perform operations for implementing the combustion burner temperature monitoring method according to any one of the embodiments described above.

a memory configured to store instructions;

a processor configured to execute the instructions so that the combustion burner temperature monitoring apparatus performs operations to implement the combustion burner temperature monitoring method according to any of the embodiments described above.

According to another aspect of the present disclosure, a system for monitoring temperature of a combustion burner is provided, which includes the device for monitoring temperature of a combustion burner as described in any one of the above embodiments.

In some embodiments of the present disclosure, the combustion burner temperature monitoring system further comprises:

the online thermal imaging camera is used for carrying out temperature measurement and video shooting on a combustion furnace head detection part to obtain temperature measurement data and video data and sending the temperature measurement data and the video data to the combustion furnace head temperature monitoring device;

and the fuel oil detection device is used for acquiring fuel oil flow data of the combustion furnace and sending the fuel oil detection device to the combustion furnace end temperature monitoring device.

In some embodiments of the present disclosure, the online thermal imaging camera is a binocular camera.

In some embodiments of the present disclosure, the in-line thermography camera includes a visible light channel and an infrared channel for simultaneously capturing an infrared thermal image and a visible light image of the combustion burner.

According to another aspect of the present disclosure, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores computer instructions, which when executed by a processor, implement the method for monitoring the temperature of a burner of a combustion furnace as in any one of the above embodiments.

The temperature of the furnace end of the combustion furnace can be monitored in real time on line, and the effectiveness of temperature measurement technology analysis is improved.

Drawings

In order to more clearly illustrate the embodiments of the present disclosure or the technical solutions in the prior art, the drawings used in the embodiments or the prior art descriptions will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present disclosure, and other drawings can be obtained by those skilled in the art without creative efforts.

Fig. 1 is a schematic view of some embodiments of a combustion burner temperature monitoring method of the present disclosure.

Fig. 2 is a schematic view of another embodiment of a method for monitoring the temperature of a burner according to the present disclosure.

Fig. 3 is a schematic view of some embodiments of a combustion burner temperature monitoring apparatus of the present disclosure.

Fig. 4 is a schematic view of another embodiment of a combustion burner temperature monitoring apparatus according to the present disclosure.

Fig. 5 is a schematic structural view of another embodiment of the combustion furnace end temperature monitoring device of the present disclosure.

Fig. 6 is a schematic view of some embodiments of a combustion burner temperature monitoring system of the present disclosure.

Detailed Description

The technical solutions in the embodiments of the present disclosure will be clearly and completely described below with reference to the drawings in the embodiments of the present disclosure, and it is obvious that the described embodiments are only a part of the embodiments of the present disclosure, and not all of the embodiments. The following description of at least one exemplary embodiment is merely illustrative in nature and is in no way intended to limit the disclosure, its application, or uses. All other embodiments, which can be derived by a person skilled in the art from the embodiments disclosed herein without making any creative effort, shall fall within the protection scope of the present disclosure.

The relative arrangement of the components and steps, the numerical expressions, and numerical values set forth in these embodiments do not limit the scope of the present disclosure unless specifically stated otherwise.

Meanwhile, it should be understood that the sizes of the respective portions shown in the drawings are not drawn in an actual proportional relationship for the convenience of description.

Techniques, methods, and apparatus known to those of ordinary skill in the relevant art may not be discussed in detail but are intended to be part of the specification where appropriate.

In all examples shown and discussed herein, any particular value should be construed as merely illustrative, and not limiting. Thus, other examples of the exemplary embodiments may have different values.

It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, further discussion thereof is not required in subsequent figures.

The inventor finds out through research that: a large number of infrared thermographs shot by temperature detection in the related art cannot be subjected to effective data analysis according to associated information such as shooting time, equipment types and three-phase comparison; in addition, the modes of the handheld thermodetector and the camera in the related art can not achieve the purpose of automatic analysis and diagnosis of equipment faults in a workshop, manual analysis is needed by a data analysis expert, the timeliness of fault finding is not guaranteed, and more importantly, only after-the-fact tracing can be achieved, but the current running state of the combustion furnace end cannot be diagnosed and analyzed in real time.

In view of at least one of the above technical problems, the present disclosure provides a method, an apparatus, a system and a storage medium for monitoring temperature of a combustion burner, and the present disclosure is described below with specific embodiments.

Fig. 1 is a schematic view of some embodiments of a combustion burner temperature monitoring method of the present disclosure. Preferably, this embodiment can be carried out by this disclosure's burning furnace end temperature monitoring devices or this disclosure's burning furnace end temperature monitoring system. The method of the embodiment of fig. 1 may include at least one of step 1 and step 3, wherein:

step 1, carrying out temperature measurement and video shooting on a detection part of a combustion furnace end through an online thermal imaging camera to obtain temperature measurement data and video data, wherein the temperature measurement data is an infrared thermal image.

And 2, performing line temperature analysis, isothermal analysis, temperature field gradient distribution analysis and maximum continuous load hot spot temperature analysis on the detection part of the combustion furnace head according to the temperature measurement data and the video data.

In some embodiments of the present disclosure, step 1 may comprise: and (4) data acquisition.

In some embodiments of the present disclosure, step 1 may comprise: at least one of steps 11 to 13, wherein:

and step 11, simultaneously shooting the infrared thermal image and the visible light image data of the combustion burner through the online thermal imaging camera in real time.

And step 12, positioning the abnormal temperature position through the temperature measurement data.

In some embodiments of the present disclosure, step 12 may comprise: and preliminarily positioning the abnormal temperature position.

In some embodiments of the present disclosure, step 12 may comprise: collecting temperature distribution array data through a thermal imaging camera, wherein the thermal imaging camera comprises a temperature sensing device, the temperature sensing device comprises a plurality of infrared array temperature measurement sensors, the temperature sensing device consists of a plurality of infrared array temperature measurement sensor arrays, and each infrared array temperature measurement sensor is used for collecting a temperature array with an actual area in an effective interval; under the condition that the abnormal temperature occurs in the area corresponding to one infrared array temperature measurement sensor, if the abnormal temperature is in the pixel position in the temperature array, the actual position of the abnormal temperature is determined according to the infrared light of the infrared array temperature measurement sensor and the current height of the temperature sensing device.

And step 13, extracting the boundary of the infrared thermal image as image model data.

The embodiment of the disclosure provides a method for monitoring the temperature of a combustion furnace end in a workshop based on a thinnwox platform, which improves the real-time performance and effectiveness of temperature measurement analysis, and can find abnormal faults of the temperature value of the combustion furnace end in the workshop in time.

Fig. 2 is a schematic view of another embodiment of a method for monitoring the temperature of a burner according to the present disclosure. Preferably, this embodiment can be executed by this disclosure's burning furnace end temperature monitoring devices or this disclosure's burning furnace end temperature monitoring system. The method of the embodiment of fig. 2 may include at least one of steps 1 to 6, wherein:

step 1, data acquisition.

In some embodiments of the present disclosure, as shown in fig. 2, step 13 in the embodiment of fig. 1 may include at least one of step 131 to step 134, wherein:

and step 131, performing binarization processing on the measured object area in the infrared thermal image.

In some embodiments of the present disclosure, step 13 may comprise: and setting the area of the measured object in the infrared thermal image, and performing binarization processing on the image according to a preset threshold value.

And step 132, extracting edges by adopting double-threshold edges, and connecting the edges into a contour so as to close the edges of the whole image.

And step 133, performing vectorization processing on the extracted contour to generate a vector diagram of the measured object.

And 134, performing full-transparency processing on pixels outside the outline of the model, and performing semi-transparency processing on pixels of the outline of the model map.

According to the embodiment of the disclosure, the edges are extracted and the transparentization processing is carried out, so that the image model can be conveniently overlapped with the real-time shot images, and therefore the images can be aligned and shot, and more standard infrared image collection can be obtained.

And 2, data communication.

In some embodiments of the present disclosure, step 2 may comprise: the temperature measurement data and the video data are transmitted to the data acquisition module through a wireless communication protocol to be recorded and stored.

In some embodiments of the present disclosure, step 2 may comprise: the temperature measurement data and the video data are connected to a Kepware data acquisition server for video recording and storage through an OPC (OLE for Process Control, OLE) UA (unified architecture) wireless communication protocol, wherein the OLE is Object Linking and Embedding.

And 3, analyzing data.

In some embodiments of the present disclosure, step 3 may comprise: and performing line temperature analysis, isothermal analysis, temperature field gradient distribution analysis and maximum continuous load hot spot temperature analysis on the detection part of the combustion furnace head according to the temperature measurement data and the video data.

In some embodiments of the present disclosure, step 3 may comprise: and performing linear temperature analysis, isothermal analysis, temperature field gradient distribution analysis and maximum continuous load hot spot temperature analysis on the detection part of the combustion furnace end through a Thingworx platform data analysis module.

In some embodiments of the present disclosure, steps 1 through 3 may include: according to the method for monitoring the temperature of the combustion furnace end in the workshop based on the Thingworx platform, an online thermal imaging camera is used for measuring the temperature of the detection part of the combustion furnace end and shooting videos, the obtained temperature measurement data and the video data are transmitted to the Thingworx platform in real time, and fault analysis and diagnosis are carried out on the combustion furnace end on the Thingworx platform through line temperature analysis, isothermal analysis, temperature field gradient distribution analysis and maximum continuous load hot spot temperature analysis.

In some embodiments of the present disclosure, step 3 may comprise: and the temperature measurement data and the video data are recorded and stored together, and the linear temperature analysis, the isothermal analysis, the temperature field gradient distribution analysis and the maximum continuous load hot spot temperature analysis of the detection part of the combustion furnace end are carried out through the video.

In some embodiments of the present disclosure, step 3 may comprise: pre-training to obtain a preset detection model; and performing line temperature analysis, isothermal analysis, temperature field gradient distribution analysis and maximum continuous load hot spot temperature analysis on the detection part of the combustion burner according to the temperature measurement data and the video data by adopting a preset detection model.

In some embodiments of the present disclosure, as shown in fig. 2, the step of pre-training to obtain the predetermined detection model may include at least one of steps 31 to 34, wherein:

and 31, acquiring images of flames of a burner of the combustion furnace, marking the flames and the ignition source, constructing a data set, and dividing the data set into a training set and a testing set.

In some embodiments of the present disclosure, step 31 may comprise: acquiring images of flames of a burner of a combustion furnace, marking the flames and a fire source, constructing a data set in a YOLO format, and enabling the data set to be 8: the ratio of 2 is divided into a training set and a test set.

And step 32, preprocessing the input layer by adopting a preset data enhancement mode, and performing model training by using the weights of the pre-training until the model converges.

In some embodiments of the present disclosure, step 32 may comprise: and (3) selecting a YOLO model, preprocessing an input layer by adopting a Mosiac data enhancement method, and training the model by using weights pre-trained on a preset platform until the model is converged and stopping training.

And step 33, pruning the model obtained by training, training the obtained result again by using the original data set until convergence, and repeating the process for a preset number of times to obtain the recognition model.

In some embodiments of the present disclosure, step 33 may comprise: and pruning the model obtained by training, setting the pruning rate to be 30%, training the obtained result again by using the original data set until convergence, and repeating the process for 2 times to obtain the final recognition model.

And step 34, acquiring a blank background picture and a part of pictures randomly extracted from the original data set by the camera to form a new data set, and simultaneously performing transfer learning on the identification model to obtain a detection model suitable for the current factory environment.

In some embodiments of the present disclosure, step 34 may comprise: in order to ensure the accuracy of the model when the lighting environment in a factory changes, a blank background picture acquired by a camera and a part of pictures randomly extracted from an original data set form a new data set, and meanwhile, the weights of the first 85% layers in the network are frozen for transfer learning, so that the detection model more suitable for the current factory environment is obtained.

And 4, comparing and judging data.

In some embodiments of the present disclosure, step 4 may include at least one of steps 41 to 42, wherein:

and step 41, determining the fuel combustion state according to the temperature measurement data and the video data.

In some embodiments of the present disclosure, as shown in fig. 2, step 41 may include at least one of step 411 to step 414, wherein:

and a step 411 of extracting an image of the furnace end, dividing the image of the furnace end into state values i =1,2 and … in each temperature state.

And step 412, extracting the combustion characteristics in the state values i in all temperature states, and comparing the combustion characteristics in the image i in the burner of the combustion furnace with the characteristics in all temperature states to obtain a fuel flow and fuel combustion state judgment comparison set.

And 413, analyzing the state types of which the characteristic matching coefficients are larger than the set matching degree coefficient threshold values in the images under the temperature states, screening out the component proportion coefficients occupied by the combustion state types in the furnace end images of the combustion furnace, and comparing the component proportion coefficients occupied by the combustion state types with the set component proportion coefficient threshold values to extract the fuel combustion state types larger than the component proportion coefficient threshold values.

And 414, comparing the combustion states of all the burner of the combustion furnace, which are greater than the component proportion coefficient threshold value in the step 413, with the fuel flow and the fuel combustion states in various pre-stored fuel states respectively, so as to screen out the combustion state types matched with the burner states of the combustion furnace.

And step 42, judging whether the fuel output and the temperature value of the combustion furnace end are abnormal or not according to the fuel flow data of the combustion furnace and the fuel combustion state.

In some embodiments of the present disclosure, step 42 may include at least one of step 421 to step 423, wherein:

and step 421, setting parameters, namely setting the flow of the fuel oil and the peak value of the high-temperature continuous combustion time of the fuel oil.

In some embodiments of the present disclosure, the peak value of the continuous output of the fuel flow is set to 60kg/h, and the peak value of the continuous high-temperature combustion time of the fuel burner is set to 2 hours.

And 422, judging whether fuel is output or not through the detection data of the fuel detection device, and judging whether the output fuel is in a combustion state or not through the detection data of the thermal imaging camera.

And step 423, judging whether fuel oil is continuously output and reaches a flow peak value through the detection data of the fuel oil detection device, and judging whether the fuel oil is in a high-temperature combustion state and reaches a continuous combustion time peak value through the detection data of the thermal imaging camera.

Through this disclosed above-mentioned technical scheme, can carry out accurate detection to following three kinds of condition:

fuel valve anomaly: the fuel meter detects that the flow is continuous, the thermal imaging detects high-temperature flame, the flame duration reaches the set maximum duration, and the fuel can be regarded as abnormal of the fuel valve. Therefore, the potential safety hazard of continuous high-temperature combustion of the oil stove can be avoided.

Fuel leakage: the fuel meter detects that the flow rate is continuously large, and the thermal imaging does not detect high-temperature flame for a short time, so that the fuel leakage can be considered. Therefore, the electric fuel valve can be controlled to be closed in time, and continuous fuel leakage is avoided, so that great loss and potential safety hazards are caused. In addition, the continuous small flow is detected by the flow of the fuel meter, the high-temperature flame is not detected by thermal imaging, the duration time reaches the maximum duration time threshold value, and the fuel can be regarded as the leakage of the small flow of the fuel, so that the electric fuel valve can be controlled to be closed in time, the continuous leakage of the fuel is avoided, and the major loss and the potential safety hazard are caused.

And 3, fire of a combustion furnace: the fuel gauge flow does not detect flow, the thermal imaging detects a high temperature flame for a short period of time, and a fire event can be considered. Thereby can in time control electronic fuel valve and close, must avoid fuel to last the leakage, cause great loss and potential safety hazard, in addition, in time inform maintenance personal through various modes, in time report to the police, avoid causing harm to the life, avoid the property to cause great loss.

The above-mentioned embodiment of this disclosure carries out accurate detection and control to all possibilities that the fuel was used, detects the precision height, the alert phenomenon of wrong report can not appear to the security that the fuel was used has been improved greatly.

And 5, outputting an alarm signal.

In some embodiments of the present disclosure, step 5 may comprise: and sending out an early warning signal according to the abnormal judgment result, and timely reminding maintenance personnel.

In some embodiments of the present disclosure, step 5 may comprise at least one of steps 51 to 53, wherein:

and step 51, under the condition that the thermal imaging camera detects no combustion state and the fuel oil detection device detects continuous fuel oil output, judging that the fuel oil is in a fuel oil leakage state at the moment, sending an alarm signal, and sending the alarm signal to the maintenance terminal through the communication network.

And step 52, under the condition that the thermal imaging camera detects that the combustion state is in and the fuel oil detection device detects that no continuous fuel oil is output, judging that a fire disaster is sent indoors, sending out a fire disaster alarm signal, and simultaneously sending the alarm signal to a maintenance personnel terminal through a communication network.

And step 53, when the fuel oil detection device detects that the fuel oil is continuously output and reaches a peak value, and the thermal imaging camera detects that the fuel oil is in a combustion state and the continuous combustion time reaches the peak value, judging that the fuel oil channel valve is abnormal, sending an alarm signal, and sending the alarm signal to a maintenance personnel terminal through a communication network.

In some embodiments of the present disclosure, the step of transmitting the alarm signal to the serviceman terminal through the communication network may include: and sending the alarm signal to the enterprise WeChat microservice through a communication network.

And 6, carrying out abnormal emergency treatment.

In some embodiments of the present disclosure, step 6 may include at least one of steps 61 to 64, wherein:

and step 61, sending an alarm signal.

And step 62, controlling the electric fuel valve of the fuel pipeline terminal to close while sending the alarm signal.

And step 63, sending the alarm signal to a maintenance personnel terminal through a communication network.

In some embodiments of the present disclosure, step 63 may comprise: and sending the alarm signal to the enterprise WeChat microservice through a communication network.

This is disclosed through setting up communication module, can in time interact with the little service of enterprise's WeChat. The enterprise wechat servlet comprises wechat applet push information.

According to the method, the abnormal reminding of the temperature monitoring of the burner of the combustion furnace is realized through the micro-service pushing of the micro-letter small program.

And step 64, controlling the thermal imaging camera device to record videos so as to call the videos in the future, and analyzing the reasons of abnormal temperature monitoring of the burner of the combustion furnace so as to facilitate better preventive maintenance in the future.

Compared with the related technology, the disclosure firstly provides a video temperature measurement real-time diagnosis and analysis method based on a thinworx platform: in the video code stream transmission process, video temperature measurement data are carried, and line temperature analysis, isothermal analysis, temperature field gradient distribution analysis and maximum continuous load hot spot temperature analysis can be carried out on the detection part of the combustion furnace head on an online real-time video.

The temperature measurement data and the video data are stored in a video mode, and linear temperature analysis, isothermal analysis, temperature field gradient distribution analysis and maximum continuous load hot spot temperature analysis of a detection part of a burner in the past can be traced back through the video.

The utility model discloses can realize real-time on-line monitoring, effectively solve the problem that handheld temperature measurement can't in time discover burning furnace end trouble, effectively expand the present situation that can only carry out the picture analysis basically, improve the validity of temperature measurement analysis and the real-time of reflecting current equipment state.

According to the method and the device, the temperature measurement data are stored in the historical video, and an effective way is provided for trend analysis and problem tracing.

The method comprehensively integrates the analysis methods such as linear temperature analysis, isothermal analysis, temperature field gradient distribution analysis, maximum continuous load hot spot temperature analysis and the like, and provides an effective method for the integrated design of the infrared temperature measurement fault diagnosis system of the combustion burner.

Fig. 3 is a schematic view of some embodiments of a combustion burner temperature monitoring apparatus of the present disclosure. As shown in fig. 3, the disclosed combustion burner temperature monitoring device may include a data acquisition module 31 and a data analysis module 32, wherein:

and the data acquisition module 31 is used for carrying out temperature measurement and video shooting on the detection part of the combustion furnace end through an online thermal imaging camera to obtain temperature measurement data and video data, wherein the temperature measurement data is an infrared thermal image.

In some embodiments of the present disclosure, the data acquisition module 31 may further be configured to locate an abnormal temperature position according to the temperature measurement data; the boundary of the infrared thermal image is extracted as image model data.

In some embodiments of the present disclosure, the data acquisition module 31 may be configured to acquire temperature distribution array data through a thermal imaging camera in a case where an abnormal temperature position is located through the temperature measurement data, where the thermal imaging camera includes a temperature sensing device, the temperature sensing device includes a plurality of infrared array temperature measurement sensors, and each infrared array temperature measurement sensor is to acquire a temperature array whose actual area is within an effective interval; under the condition that the abnormal temperature occurs in the area corresponding to one infrared array temperature measurement sensor, if the abnormal temperature is in the pixel position in the temperature array, the actual position of the abnormal temperature is determined according to the infrared light of the infrared array temperature measurement sensor and the current height of the temperature sensing device.

In some embodiments of the present disclosure, the data acquisition module 31 may be configured to perform binarization processing on the measured object region in the infrared thermal image when the boundary of the infrared thermal image is extracted as image model data; extracting edges by adopting double-threshold edges, and connecting the edges into a contour so as to close the edges of the whole image; vectorizing the extracted contour to generate a vector diagram of the measured object; and performing full-transparency processing on pixels outside the outline of the model, and performing semi-transparency processing on pixels of the outline of the model map.

And the data analysis module 32 is used for performing line temperature analysis, isothermal analysis, temperature field gradient distribution analysis and maximum continuous load hot spot temperature analysis on the detection part of the combustion furnace head according to the temperature measurement data and the video data.

In some embodiments of the present disclosure, the data analysis module 32 is configured to perform analysis processing such as line temperature analysis, isothermal analysis, temperature field gradient distribution analysis, maximum sustained load hot spot temperature analysis, and the like on the infrared thermal map and the visible light image data.

In some embodiments of the present disclosure, the data analysis module 32 is configured to pre-train to obtain a predetermined detection model; and performing line temperature analysis, isothermal analysis, temperature field gradient distribution analysis and maximum continuous load hot spot temperature analysis on the detection part of the combustion burner according to the temperature measurement data and the video data by adopting a preset detection model.

In some embodiments of the present disclosure, the data analysis module 32 is configured to, in a case where a predetermined detection model is obtained through pre-training, acquire an image of flame of a burner of the combustion furnace and label the flame and a fire source, construct a data set, and divide the data set into a training set and a test set; preprocessing an input layer by adopting a preset data enhancement mode, and performing model training by using weights of the pre-training until the model converges; pruning the model obtained by training, training the obtained result again by using the original data set until convergence, and repeating the process for a preset number of times to obtain an identification model; and acquiring a blank background picture and a part of pictures randomly extracted from the original data set by a camera to form a new data set, and simultaneously performing transfer learning on the identification model to obtain a detection model suitable for the current environment in the factory.

In some embodiments of the present disclosure, the data acquisition module 31 is coupled to an online thermal imaging camera for capturing infrared thermal images and visible light images of the combustion burner and outputting infrared thermal image analog signals related to the infrared thermal images containing temperature measurements to the data acquisition module 31.

In some embodiments of the present disclosure, the data collection module 31 may be a Kepware data collection server and the data analysis module 32 may be an industrial internet of things platform (e.g., a thinnwox platform).

In some embodiments of the present disclosure, a Kepware data acquisition server is used to send infrared heat maps and visible light image data to a thingwox platform.

In some embodiments of the present disclosure, the combustion burner temperature monitoring device is used to perform operations for implementing the combustion burner temperature monitoring method according to any of the embodiments described above (e.g., the embodiment of fig. 1 or fig. 2).

Fig. 4 is a schematic view of another embodiment of a combustion burner temperature monitoring apparatus according to the present disclosure. Compared with fig. 3, in the embodiment of fig. 4, the combustion furnace end temperature monitoring device of the present disclosure may further include a data comparison module 33, wherein:

the data comparison module 33 is used for determining the fuel oil combustion state according to the temperature measurement data and the video data; and judging whether the fuel output and the temperature value of the combustion furnace end are abnormal or not according to the fuel flow data of the combustion furnace and the fuel combustion state.

In some embodiments of the present disclosure, the data comparing module 33 is configured to, in a case where a fuel combustion state is determined according to the temperature measurement data and the video data, extract an image in the furnace end of the combustion furnace, and divide the image in the furnace end of the combustion furnace into state values in each temperature state; extracting combustion characteristics in the state values under each temperature state, and comparing the combustion characteristics in the image in the furnace end of the combustion furnace with the characteristics under each temperature state to obtain a fuel flow and fuel combustion state judgment comparison set; analyzing the state types of which the characteristic matching coefficients are larger than the set matching degree coefficient threshold value in the images under the temperature states, screening the component proportion coefficients occupied by the combustion state types in the images of the furnace end of the combustion furnace, and comparing the component proportion coefficients occupied by the combustion state types with the set component proportion coefficient threshold value to extract the fuel oil combustion state types larger than the component proportion coefficient threshold value; and comparing the combustion states of all the burner of the combustion furnace which are larger than the component proportion coefficient threshold value with the fuel oil flow and the fuel oil combustion states in various pre-stored fuel oil states respectively so as to screen out the combustion state types matched with the burner states of the combustion furnace.

In some embodiments of the present disclosure, the data comparing module 33 is configured to, in a case that it is determined whether the fuel output and the temperature value of the burner are abnormal according to the fuel flow data of the combustion furnace and the combustion state of the fuel, detect data through the fuel detecting device to determine whether the fuel is output, and detect data through the thermal imaging camera to determine whether the output fuel is in the combustion state; the data is detected by the fuel oil detection device to judge whether the fuel oil is continuously output and reaches the flow peak value, and meanwhile, the data is detected by the thermal imaging camera to judge whether the fuel oil is in a high-temperature combustion state and reaches the continuous combustion time peak value.

In some embodiments of the present disclosure, as shown in fig. 4, the combustion burner temperature monitoring apparatus of the present disclosure may further include an alarm module 34, wherein:

and the alarm module 34 is used for sending out an early warning alarm signal according to the abnormal judgment result.

In some embodiments of the present disclosure, the disclosed combustion burner temperature monitoring device may further include a communication module 35, wherein:

and the communication module 35 is used for timely reminding maintenance personnel according to the abnormal judgment result.

In some embodiments of the present disclosure, the data comparison module 33 is configured to determine that the fuel leakage state is present when the thermal imaging camera detects no combustion state and the fuel detection device detects continuous fuel output, instruct the alarm module 34 to send out an alarm signal, and instruct the communication module 35 to send the alarm signal to the maintenance terminal through the communication network.

In some embodiments of the present disclosure, the data comparison module 33 is configured to instruct the alarm module 34 to send out a fire alarm signal when the thermal imaging camera detects that the thermal imaging camera is in a combustion state and the fuel detection device detects that no fuel is continuously output, and instruct the communication module 35 to send the alarm signal to the maintenance personnel terminal through the communication network.

In some embodiments of the present disclosure, the data comparison module 33 is configured to determine that the fuel passage valve is abnormal when the fuel detection device detects that the fuel is continuously output and reaches a peak value, and the thermal imaging camera detects that the fuel is in a combustion state and the time of continuous combustion reaches the peak value, instruct the alarm module 34 to send an alarm signal, and instruct the communication module 35 to send the alarm signal to the maintenance staff terminal through the communication network.

In some embodiments of the present disclosure, as shown in fig. 4, the combustion burner temperature monitoring apparatus of the present disclosure may further include a graphic display module 36, wherein:

and the graph display module 36 controls the thermal imaging camera device to record videos so as to call videos in the future and analyze the reasons of abnormal temperature monitoring of the burner of the combustion furnace.

In some embodiments of the present disclosure, as shown in fig. 4, the combustion burner temperature monitoring apparatus of the present disclosure may further include a statistical analysis module 37, a data management platform 38, and a database 39, wherein:

the output end of the data acquisition module 31 is connected with the input end of the data analysis module 32 through a network, and the data acquisition module is used for acquiring data characteristic information and transmitting the characteristic information to the data analysis module 31.

And the data analysis module 32 is configured to receive the data characteristic information acquired by the data acquisition module, and transmit the data characteristic information to the data comparison module 33 after analysis.

And the data comparison module 33 is used for receiving the data characteristic information sent by the data analysis module, and sending a comparison result to the alarm module after comparison.

And the alarm module 34 is configured to receive the comparison result sent by the data comparison module 33 and trigger an alarm.

And the statistical analysis module 37 is configured to receive the data feature information sent by the data comparison module 33, generate an analog statistical signal after analysis, and send the analog statistical signal to the image display module 36.

And the image display module 36 is configured to receive the analog statistical signal sent by the statistical analysis module 37, convert the analog statistical signal into a digital signal through the front-end interface, and display the digital signal.

In some embodiments of the present disclosure, the image presentation module 36 is coupled to a human-machine interface for converting the infrared thermographic analog signals captured by the online thermographic camera into digital signals.

In some embodiments of the present disclosure, the human-computer interface may be a Mashup interface.

And the data management platform 38 is configured to receive the data characteristic information acquired by the data acquisition module, calculate and sort the data characteristic information, and send the data characteristic information to the data analysis module 32 (thinnwox platform).

And the database 39 is used for collecting the standard data numerical value and sending the standard data numerical value to the data management platform through wireless transmission.

In some embodiments of the present disclosure, a database 39 is used to store infrared thermographic and visible light image data.

In some embodiments of the present disclosure, database 39 is a data storage database.

The embodiment of the invention provides a tobacco industry equipment temperature monitoring device based on a Thingworx platform, which adopts an online thermal imaging camera to measure the temperature and shoot videos of a detection part of a combustion furnace head, obtains temperature measurement data and video data which are transmitted to the Thingworx platform in real time, realizes linear temperature analysis, isothermal analysis, temperature field gradient distribution analysis and maximum continuous load overheat point temperature analysis on the platform through a data analysis module, and simultaneously judges whether the fuel output and the temperature value of the furnace head are abnormal or not by data comparison and combination of the fuel flow of a combustion furnace and the fuel combustion state; sending out an alarm signal when the abnormal condition occurs; and the wireless communication equipment is combined, so that the method is easy to apply to equipment such as a combustion furnace and the like, and great convenience is brought to fault prediction analysis and diagnosis of the combustion furnace head. The embodiment of the disclosure can realize online real-time monitoring, effectively expands the current technical mode of only performing picture analysis basically, and improves the analysis effectiveness of the temperature measurement technology and the real-time property of the system for feeding back and responding to the current equipment state.

Fig. 5 is a schematic structural view of another embodiment of the combustion furnace end temperature monitoring device of the present disclosure. As shown in fig. 5, the combustion burner temperature monitoring apparatus of the present disclosure may include a memory 51 and a processor 52.

The memory 51 is used for storing instructions, the processor 52 is coupled to the memory 51, and the processor 52 is configured to execute the method for monitoring the temperature of the burner head according to any one of the embodiments (for example, the embodiment of fig. 1 or fig. 2) described above based on the instructions stored in the memory.

As shown in fig. 5, the combustion burner temperature monitoring device further includes a communication interface 53 for information interaction with other devices. Meanwhile, the temperature monitoring device for the combustion furnace end further comprises a bus 54, and the processor 52, the communication interface 53 and the memory 51 are communicated with each other through the bus 54.

The Memory 51 may comprise a high-speed RAM Memory, and may also include a Non-volatile Memory (Non-volatile Memory), such as at least one disk Memory. The memory 51 may also be a memory array. The storage 51 may also be partitioned and the blocks may be combined into virtual volumes according to certain rules.

Further, the processor 52 may be a central processing unit CPU, or may be an application specific integrated circuit ASIC, or one or more integrated circuits configured to implement embodiments of the present disclosure.

Fig. 6 is a schematic view of some embodiments of a combustion burner temperature monitoring system of the present disclosure. Fig. 4 also shows a schematic view of other embodiments of the disclosed combustion burner temperature monitoring system. As shown in fig. 6 and 4, the disclosed combustion furnace end temperature monitoring system may include a combustion furnace end temperature monitoring device 61, an online thermal imaging camera 62, a fuel oil detection device 63, and a human-computer interface 64, wherein:

the combustion burner temperature monitoring device 61 is the combustion burner temperature monitoring device according to any of the embodiments described above (for example, any of the embodiments shown in fig. 3 to 5).

The online thermal imaging camera 62 is configured to perform temperature measurement and video shooting on a combustion furnace end detection portion, obtain temperature measurement data and video data, and send the temperature measurement data and the video data to the combustion furnace end temperature monitoring device 61.

In some embodiments of the present disclosure, an on-line thermal imaging camera 62 is used to capture infrared thermography and visible light images of the combustion burner and output an infrared thermography analog signal related to the infrared thermography containing temperature measurements to the combustion burner temperature monitoring device 61.

In some embodiments of the present disclosure, the online thermal imaging camera 62 is a binocular camera.

In some embodiments of the present disclosure, the online thermographic camera 62 includes a visible light channel and an infrared channel for simultaneously capturing an infrared thermal image and a visible light image of the combustion burner.

And the fuel oil detection device 63 is used for acquiring the fuel oil flow data of the combustion furnace and sending the fuel oil detection device to the combustion furnace end temperature monitoring device.

A human-machine interface 64 for converting the infrared thermographic analog signal captured by the online thermographic camera into a digital signal.

In some embodiments of the present disclosure, the human-computer interface 64 may be implemented as a Mashup interface.

According to the workshop internal combustion furnace end temperature monitoring system based on the thinngworx platform, the real-time performance and effectiveness of temperature measurement analysis are improved, and therefore abnormal faults of the temperature value of the combustion furnace end in the workshop can be found in time.

According to the system for monitoring the temperature of the combustion furnace head in the workshop based on the thinworx platform, an online thermal imaging camera is used for measuring the temperature of the detection part of the combustion furnace head and shooting videos, the obtained temperature measurement data and the video data are transmitted to the thinworx platform in real time, and fault analysis and diagnosis are carried out on the combustion furnace head on the thinworx platform through line temperature analysis, isothermal analysis, temperature field gradient distribution analysis and maximum continuous load overheat point temperature analysis.

The workshop combustion furnace end temperature monitoring system based on the thinworx platform can also be used for carrying out video recording storage on temperature measurement data and video data together, and carrying out linear temperature analysis, isothermal analysis, temperature field gradient distribution analysis and maximum continuous load hot spot temperature analysis on a combustion furnace end detection part through video recording.

According to another aspect of the present disclosure, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores computer instructions, which when executed by a processor, implement the method for monitoring the temperature of a combustion furnace end as described in any one of the above embodiments (for example, the embodiments of fig. 1 or fig. 2).

In some embodiments of the present disclosure, the computer-readable storage medium may be a non-transitory computer-readable storage medium.

As will be appreciated by one of skill in the art, embodiments of the present disclosure may be provided as a method, apparatus, or computer program product. Accordingly, the present disclosure may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present disclosure may take the form of a computer program product embodied on one or more computer-usable non-transitory storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.

The present disclosure is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the disclosure. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

The combustion burner temperature monitoring devices, digital data acquisition modules, data analysis modules, data comparison modules, alarm modules, communication modules, graphic presentation modules, statistical analysis modules, data management platforms, and databases described above may be implemented as general purpose processors, programmable Logic Controllers (PLCs), digital Signal Processors (DSPs), application Specific Integrated Circuits (ASICs), field Programmable Gate Arrays (FPGAs) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or any suitable combination thereof, for performing the functions described herein.

Thus far, the present disclosure has been described in detail. Some details that are well known in the art have not been described in order to avoid obscuring the concepts of the present disclosure. Those skilled in the art can now fully appreciate how to implement the teachings disclosed herein, in view of the foregoing description.

It will be understood by those skilled in the art that all or part of the steps for implementing the above embodiments may be implemented by hardware, or may be implemented by a program instructing relevant hardware to implement the above embodiments, where the program may be stored in a non-transitory computer readable storage medium, and the above-mentioned storage medium may be a read-only memory, a magnetic or optical disk, and the like.

The description of the present disclosure has been presented for purposes of illustration and description, and is not intended to be exhaustive or limited to the disclosure in the form disclosed. Many modifications and variations will be apparent to practitioners skilled in this art. The embodiment was chosen and described in order to best explain the principles of the disclosure and the practical application, and to enable others of ordinary skill in the art to understand the disclosure for various embodiments with various modifications as are suited to the particular use contemplated.

Claims

1. A method of monitoring the temperature of a combustion burner, comprising:

carrying out temperature measurement and video shooting on a detection part of the combustion furnace head through an online thermal imaging camera to obtain temperature measurement data and video data, wherein the temperature measurement data is an infrared thermal image;

2. The method of claim 1, wherein the temperature measurement and video capture of the combustion burner test site by the online thermographic camera further comprises at least one of the following steps:

and extracting the boundary of the infrared thermal image as image model data.

3. The combustion burner temperature monitoring method of claim 2, wherein locating an abnormal temperature location via the thermometry data comprises:

4. The combustion burner temperature monitoring method of claim 2, wherein said extracting a boundary of an infrared thermal image as image model data comprises:

5. The method of monitoring the temperature of the combustion burner of any one of claims 1-4, further comprising:

determining the fuel combustion state according to the temperature measurement data and the video data;

6. The method of monitoring the temperature of a combustion burner of claim 5, wherein said determining the fuel combustion state based on said thermometric data and said video data comprises:

and comparing the combustion states of all the burner of the combustion furnace which are larger than the component proportion coefficient threshold value with the fuel oil flow and the fuel oil combustion states in various pre-stored fuel oil states respectively so as to screen out the combustion state types matched with the burner states of the combustion furnace.

7. The method of monitoring the temperature of a burner of claim 5, wherein said determining whether the fuel output and the burner temperature are abnormal based on the fuel flow data and the fuel combustion status of the burner comprises:

8. The combustion burner temperature monitoring method of claim 5, further comprising at least one of the following steps, wherein:

sending out an early warning signal according to the abnormal judgment result, and timely reminding maintenance personnel;

9. The combustion burner temperature monitoring method of claim 8, wherein said issuing an early warning alarm signal based on the anomaly determination result includes at least one of the following steps, wherein:

when the thermal imaging camera detects that the combustion state is in and the fuel oil detection device detects that no continuous fuel oil output exists, sending out a fire alarm signal, and sending the alarm signal to a maintenance personnel terminal through a communication network;

10. The combustion burner temperature monitoring method of any one of claims 1-4, further comprising:

11. A combustion burner temperature monitoring device, comprising:

and the data analysis module is used for carrying out line temperature analysis, isothermal analysis, temperature field gradient distribution analysis and maximum continuous load hot spot temperature analysis on the detection part of the combustion furnace head according to the temperature measurement data and the video data.

12. The combustion burner temperature monitoring device according to claim 11, wherein the combustion burner temperature monitoring device is configured to perform operations to implement the combustion burner temperature monitoring method according to any one of claims 2-10.

13. A combustion burner temperature monitoring device, comprising:

a memory configured to store instructions;

a processor configured to execute the instructions so that the combustion burner temperature monitoring apparatus performs operations to implement the combustion burner temperature monitoring method of any one of claims 1-10.

14. A combustion burner temperature monitoring system comprising a combustion burner temperature monitoring apparatus according to any one of claims 11 to 12.

15. The combustion burner temperature monitoring system of claim 14, further comprising:

16. The combustion burner temperature monitoring system of claim 14 or 15, wherein:

the online thermal imaging camera is a binocular camera;

the online thermal imaging camera comprises a visible light channel and an infrared channel and is used for simultaneously shooting an infrared thermal image and a visible light image of the combustion burner.

17. A computer readable storage medium, wherein the computer readable storage medium stores computer instructions which, when executed by a processor, implement the method of monitoring the temperature of a burner block according to any one of claims 1 to 10.