A flame detection method and system for flame compounding machine

Abstract

The present invention relates to the field of data processing technology, and specifically to a flame detection method and system for a flame compound machine, including: collecting flame temperature, flame intensity and flame brightness of several sensors of the flame compound machine at several moments; obtaining sensors that need to be adjusted; obtaining the gain adjustment degree of each sensor that needs to be adjusted at each moment; obtaining the corrected gain adjustment degree of each sensor that needs to be adjusted at each moment; obtaining the corrected flame instability of each sensor that needs to be adjusted at each moment; obtaining the similarity between the flame state of each sensor at each moment and the standard flame state; judging the flame state of the flame compound machine based on the similarity between the flame state of the current sensor at the current moment and the standard flame state. The present invention improves the stability of the operation of the flame compound machine and the accuracy of its detection by analyzing the data.

Description

Technical Field

[0001] The present invention relates to the technical field of data processing, and in particular to a flame detection method and system for a flame compound machine. Background Art

[0002] Flame laminating machine is an industrial equipment that achieves bonding between different material layers by using flame to melt or soften the surface of the material. This technology is widely used in multiple industries, especially in areas where material laminating or coating processes are required. According to market research, the flame laminating machine industry is constantly developing. With the advancement of technology and the development of new materials, its application areas are also expanding. With the increasing demand for high-efficiency and environmentally friendly materials, flame laminating technology is moving towards a more efficient, energy-saving and environmentally friendly direction. In addition, the improvement of automation and intelligence levels is also promoting the advancement of flame laminating machine technology to meet the needs of modern industrial production. Modern flame laminating machines are usually equipped with automatic control systems that can automatically adjust the size of the flame according to preset parameters to adapt to different production conditions. These preset parameters are often manually entered and adjusted by operators based on experience and real-time monitoring data to adapt to specific production conditions or solve immediate problems. However, if the parameters are set inaccurately, it may cause uneven melting of materials or weak bonding, thus affecting product quality. Summary of the invention

[0003] The invention provides a flame detection method and system for a flame compound machine to solve the existing problems.

[0004] A flame detection method and system for a flame compound machine of the present invention adopts the following technical solutions:

[0005] The present invention proposes a flame detection method for a flame compound machine, the method comprising the following steps:

[0006] Collect the flame temperature, flame intensity and flame brightness of the flame compound machine under several sensors at several times;

[0007] According to the flame brightness difference and change of the same sensor at consecutive moments, the flame instability of each sensor at each moment is obtained; the flame brightness saturation value is obtained; according to the flame brightness saturation value, the flame brightness of each sensor at each moment, and the signal-to-noise ratio of each sensor at each moment, the necessity of gain adjustment of each sensor at each moment is obtained;

[0008] Based on the necessity of gain adjustment for each sensor at each moment, the sensors that need to be adjusted are screened; based on the flame brightness saturation value, the flame brightness of each sensor at each moment and the expected value of the flame brightness, the gain adjustment degree of each sensor that needs to be adjusted at each moment is obtained;

[0009] According to the calibration period and calibration accuracy of each sensor, the expected value of the flame brightness of the sensor that needs to be adjusted at each moment, and the flame brightness of each sensor at the same moment, the overall deviation between each sensor that needs to be adjusted at each moment and all other sensors is obtained; the gain adjustment degree of each sensor that needs to be adjusted at each moment is corrected to obtain the corrected gain adjustment degree of each sensor that needs to be adjusted at each moment;

[0010] According to the flame instability of each sensor at each moment and the corrected gain adjustment degree of each sensor that needs to be adjusted at each moment, the corrected flame instability of each sensor that needs to be adjusted at each moment is obtained; combined with the flame temperature and flame intensity of each sensor at each moment, with reference to the standard flame state of the sensor, the similarity between the flame state of each sensor at each moment and the standard flame state is obtained;

[0011] The flame state of the flame compound machine is determined based on the similarity between the flame state of the current sensor at the current moment and the standard flame state.

[0012] Furthermore, the flame instability of each sensor at each moment is obtained according to the flame brightness difference and change of the same sensor at consecutive moments, and the corresponding specific calculation formula is:

[0013]

[0014] in, Indicates Moment Flame instability of each sensor; Indicates the number of times the sensor transmits back per second; Indicates Moment Flame brightness of each sensor; Indicates Moment Flame brightness of each sensor; represents the absolute value function; represents the ceiling function; represents the minimum value function, Represents the maximum value function.

[0015] Furthermore, the necessity of gain adjustment for each sensor at each moment is obtained according to the flame brightness saturation value, the flame brightness of each sensor at each moment, and the signal-to-noise ratio of each sensor at each moment. The corresponding specific calculation formula is:

[0016]

[0017] in, Indicates Moment The necessity of gain adjustment for each sensor; Indicates the flame brightness saturation value; Indicates Moment Flame brightness of each sensor; Indicates Moment The signal-to-noise ratio of each sensor; Represents the normalization function.

[0018] Furthermore, the necessity of performing gain adjustment on each sensor at each moment and screening the sensors that need to be adjusted includes the following specific steps:

[0019] When Moment When the necessity of gain adjustment of the first sensor is greater than the first threshold, the Moment The sensor is the The sensor that needs to be adjusted at any time.

[0020] Furthermore, according to the flame brightness saturation value, the flame brightness of each sensor at each moment and the expected value of the flame brightness, the gain adjustment degree of each sensor that needs to be adjusted at each moment is obtained, and the corresponding specific calculation formula is:

[0021]

[0022] in, Indicates Moment The gain adjustment level of each sensor that needs to be adjusted; Indicates the flame brightness saturation value; Indicates Moment The flame brightness of the sensor that needs to be adjusted; Indicates Moment The sensor that needs to be adjusted is the expected value of the flame brightness.

[0023] Furthermore, according to the calibration period and calibration accuracy of each sensor, the expected value of the flame brightness of the sensor that needs to be adjusted at each moment, and the flame brightness of each sensor at the same moment, the overall deviation of each sensor that needs to be adjusted at each moment and all other sensors is obtained, and the corresponding specific calculation formula is:

[0024]

[0025] in, Indicates Moment The overall deviation of the sensor that needs to be adjusted from all other sensors; Indicates the number of sensors; Indicates that except The remaining sensors besides the one that need adjustment Calibration cycle of each sensor; Indicates that except The remaining sensors besides the one that need adjustment The calibration accuracy of each sensor; Indicates Moment The expected value of flame brightness for the sensor that needs to be adjusted; Indicates The moment except The remaining sensors besides the one that need adjustment Flame brightness of each sensor; represents the absolute value function.

[0026] Furthermore, the gain adjustment degree of each sensor that needs to be adjusted at each moment is corrected to obtain the corrected gain adjustment degree of each sensor that needs to be adjusted at each moment, and the corresponding specific calculation formula is:

[0027]

[0028] in, Indicates the corrected Moment The gain adjustment level of each sensor that needs to be adjusted; Indicates Moment The gain adjustment level of each sensor that needs to be adjusted; Indicates Moment The overall deviation of the sensor that needs to be adjusted from all other sensors; Represents an exponential function with a natural constant as its base.

[0029] Further, the flame instability of each sensor that needs to be adjusted at each moment is obtained according to the flame instability of each sensor at each moment and the corrected gain adjustment degree of each sensor that needs to be adjusted at each moment, and the specific steps include the following:

[0030] The first Moment The flame instability of the first sensor that needs adjustment is different from the corrected Moment The ratio of the gain adjustment degree of the sensor that needs to be adjusted is recorded as the corrected Moment Flame instability of a sensor that requires adjustment.

[0031] Furthermore, the similarity between the flame state of each sensor and the standard flame state at each moment is obtained, and the corresponding specific calculation formula is:

[0032]

[0033] in, Indicates Moment The similarity between the flame state of each sensor and the standard flame state; Indicates Moment The flame state three-dimensional vector of each sensor; A three-dimensional vector representing the standard flame state of the sensor.

[0034] The present invention also proposes a flame detection system for a flame compound machine, comprising a memory, a processor, and a computer program stored in the memory and running on the processor, wherein the processor executes the computer program stored in the memory to implement the steps of the aforementioned flame detection method for a flame compound machine.

[0035] The beneficial effects of the technical solution of the present invention are:

[0036] Through refined data processing and intelligent gain adjustment, the flame laminating machine can be operated efficiently and stably, and the fusion quality and production efficiency of materials can be effectively improved. Specifically, by collecting multi-dimensional data such as flame temperature, flame intensity and flame brightness, a comprehensive information basis is provided for the subsequent flame state analysis, ensuring the accuracy and comprehensiveness of the detection. By calculating the flame instability through the difference and change of the flame brightness of the same sensor at consecutive moments, the fluctuation of the flame state can be discovered in time, the occurrence of flame abnormalities can be prevented, and the sensitivity of flame detection can be improved. Through the comprehensive analysis of the flame brightness saturation value, flame brightness and signal-to-noise ratio, the necessity of gain adjustment of each sensor is judged to ensure that the sensor is in the best working state and the accuracy of flame detection is improved. By screening out the sensors that need to be gain adjusted, invalid adjustments are avoided and the working efficiency and response speed of the system are improved. According to the flame brightness saturation value, current brightness and expected value, the gain adjustment degree is accurately calculated to ensure the stability and consistency of the flame brightness, thereby ensuring the uniform fusion of the material. Combined with the calibration cycle and accuracy of the sensor, the overall deviation between each sensor that needs to be adjusted and other sensors is calculated, and the gain adjustment degree is corrected, which further improves the accuracy of the adjustment. The flame instability is recalculated according to the corrected gain adjustment degree to ensure that the adjusted flame state is more in line with actual needs, which improves the stability and reliability of the flame compound machine. By calculating the similarity between the flame state and the standard flame state, the flame state is monitored in real time, and the working state of the flame compound machine is judged in time, ensuring the continuity of the production process and the stability of product quality. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0038] Figure 1 The present invention is a flowchart of the steps of a flame detection method for a flame compound machine. DETAILED DESCRIPTION

[0039] In order to further explain the technical means and effects adopted by the present invention to achieve the predetermined invention purpose, the flame detection method and system for a flame compound machine proposed by the present invention, its specific implementation, structure, features and effects are described in detail as follows in combination with the accompanying drawings and preferred embodiments. In the following description, different "one embodiment" or "another embodiment" does not necessarily refer to the same embodiment. In addition, specific features, structures or characteristics in one or more embodiments may be combined in any suitable form.

[0040] Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.

[0041] The following is a detailed description of a flame detection method and system for a flame compound machine provided by the present invention in conjunction with the accompanying drawings.

[0042] See also Figure 1 , which shows a flowchart of a flame detection method for a flame compound machine provided by an embodiment of the present invention, the method comprising the following steps:

[0043] Step S001: Collecting flame temperature, flame intensity and flame brightness of the flame compound machine under several sensors at several times.

[0044] The purpose of this embodiment is to monitor flame dynamic data (including flame temperature, flame intensity and flame brightness) in real time, realize self-adjustment of flame parameters during production, improve the accuracy of parameter settings, and avoid product quality problems caused by inaccurate parameter settings. Therefore, it is necessary to install sensors to collect flame dynamic data.

[0045] It should be noted that in the flame detection system of the flame compound machine, the installation of the sensor first requires an assessment of the surrounding environment of the equipment to determine the best installation location and avoid interference from external light sources. Subsequently, without affecting the operation of the production line and the natural air flow, the technicians installed a light shielding baffle to shield the natural light and ensure that the sensor is not affected by strong light. Next, according to the size and shape of the flame area, multiple flame sensors are arranged at key locations around the flame compound machine. These sensors need to be evenly distributed to achieve comprehensive monitoring. During installation, each sensor must be firmly fixed in the predetermined position and ensure that the spacing between them is appropriate to avoid signal interference between each other. In addition, the wiring of the sensor must be arranged in a regular manner to avoid clutter and prevent any possible mechanical damage. After the wiring is completed, the system is calibrated to ensure that the data provided by the sensor is accurate. During the entire installation process, environmental factors such as temperature and humidity must also be considered to ensure that the sensor can work stably under specific conditions. Finally, strict safety regulations are followed to ensure the safety of the installation process, complete the installation of the sensor and system debugging, and provide accurate and reliable data for subsequent flame monitoring and automatic control.

[0046] It should be noted that in the above process, the installation scheme of the sunshade is a key step to ensure accurate monitoring by the sensor. First, technicians need to conduct a detailed assessment of the working environment of the flame laminating machine to determine possible light source interference, such as natural light, reflected light, or luminous bodies of surrounding equipment. Based on this assessment, the layout of the sunshade is designed to effectively block these interfering light sources while allowing the flame sensor to capture the true light radiation of the flame. Sunshades are usually made of opaque, heat-resistant materials to resist high temperatures and ultraviolet or infrared radiation generated by flames. When installed, the sunshades need to be precisely positioned and fixed around the flame laminating machine to form a protective barrier while ensuring that they do not interfere with the movement of mechanical parts or hinder the flow of the production line. During the installation process, the maintenance and replacement of the sunshades must also be considered to ensure their long-term effectiveness and rapid replacement when necessary. Through a carefully designed sunshade installation scheme, the accuracy of flame detection can be significantly improved and false alarms and missed alarms can be reduced.

[0047] Specifically, the present embodiment collects flame brightness through a number of photoresistor sensors. The sampling interval of the photoresistor sensors for collecting flame brightness is determined by the number of data feedbacks from the sensor, which is not specifically limited in the present embodiment. The sampling interval of flame temperature and flame intensity is consistent with the sampling interval determined by the number of feedbacks from the photoresistor sensors. The feedback signal from the photoresistor sensors can be directly obtained. The data is collected when the flame compound machine starts working, and the flame dynamic data of the flame compound machine is collected in real time by deploying sensors.

[0048] Step S002: According to the flame brightness difference and change of the same sensor at consecutive moments, the flame instability of each sensor at each moment is obtained; the flame brightness saturation value is obtained; according to the flame brightness saturation value, the flame brightness of each sensor at each moment, and the signal-to-noise ratio of each sensor at each moment, the necessity of gain adjustment for each sensor at each moment is obtained.

[0049] It should be noted that when adjusting the flame parameters of the flame laminating machine, it is necessary to ensure that the flame temperature can reach the temperature required for material melting, the flame intensity and the flame stability. The flame stability can be monitored by the change of flame brightness. The higher the frequency of flame brightness change and the larger the change amplitude, the lower the flame stability.

[0050] Specifically, a reference range is preset. In this embodiment, the reference range is described as 5s. The moment within the reference range before any moment is taken as the moment to be analyzed at that moment. The flame brightness collected by any sensor at the moment to be analyzed is recorded as the data to be analyzed of the sensor at that moment. It is particularly noted that if the time length before a certain moment is less than the reference range, the actual moment is taken as the moment to be analyzed and subsequent calculations are performed. Then the specific calculation formula for the flame instability of each sensor at each moment is:

[0051]

[0052] in, Indicates Moment Flame instability of each sensor; Indicates the number of times the sensor transmits back per second; Indicates Moment Flame brightness of each sensor; Indicates Moment Flame brightness of each sensor; represents the absolute value function; represents the ceiling function; represents the minimum value function, Represents the maximum value function.

[0053] It should be noted that Indicates The data to be analyzed by the sensor The moment and The absolute value of the difference in flame brightness at each moment. The greater the accumulated value of the flame brightness change difference, the more unstable the flame. Indicates The number of times the flame brightness changes during the time period of the data to be analyzed by each sensor. The more times the flame changes, the higher the instability of the flame.

[0054] It should be noted that when judging flame stability, the photoelectric sensor may be affected by high temperature or bright flames and reach the saturation point, resulting in the inability to provide valid data. Therefore, the gain of the photoelectric sensor needs to be adjusted. When determining whether the sensor gain needs to be adjusted, the sensor sensitivity to the light signal can be adjusted by comparing the difference between the sensor output signal and the flame brightness saturation value and evaluating the signal-to-noise ratio of the sensor output. Increasing the gain will amplify the sensor output signal so that even small changes in light intensity can be detected; while reducing the gain will reduce the sensor's amplification of the light signal to prevent the signal from exceeding the sensor's processing range. By carefully adjusting the sensor's gain, it can be ensured that it can provide valid and reliable data under different lighting conditions, thereby supporting the judgment of flame stability.

[0055] Specifically, the specific calculation formula for the necessity of gain adjustment for each sensor at each moment is:

[0056]

[0057] in, Indicates Moment The necessity of gain adjustment for each sensor; represents the flame brightness saturation value (by analyzing historical data, obtaining the maximum value of the flame brightness that does not change as the flame brightness saturation value, using the existing method, which will not be described in detail in this embodiment); Indicates Moment Flame brightness of each sensor; Indicates Moment The signal-to-noise ratio of each sensor is directly obtained by analyzing the signal returned by the photoresistor sensor. This is a prior art and will not be described in detail in this embodiment. Represents a linear normalization function, and the normalized object is the value of all sensors at all times. .

[0058] It should be noted that Indicates Moment The difference between the flame brightness output value of the first sensor and the flame brightness saturation value. The smaller the difference, the closer the flame brightness is to the saturation value. Moment The greater the necessity of gain adjustment for each sensor; at the same time, in order to avoid adjusting the gain too small during adjustment, resulting in more information not being detected, it is necessary to consider the signal-to-noise ratio when calculating the necessity of sensor gain adjustment. The higher the current signal-to-noise ratio, the more it means that the sensor gain does not need to be adjusted at this time.

[0059] Step S003: Based on the necessity of gain adjustment for each sensor at each moment, the sensors that need to be adjusted are screened; according to the flame brightness saturation value, the flame brightness of each sensor at each moment and the expected value of the flame brightness, the gain adjustment degree of each sensor that needs to be adjusted at each moment is obtained.

[0060] Specifically, the first threshold value preset in this embodiment is 0.7, which is used as an example for description. Other implementations may set it to other values. Moment When the necessity of adjusting the gain of a sensor is greater than the first threshold, it means that the gain of the sensor needs to be adjusted at this moment. Moment The sensor is the The sensor that needs to be adjusted at any time.

[0061] Furthermore, the expected value of flame brightness for each sensor at each moment is preset, and the specific value is set by the user according to actual production needs; then the specific calculation formula for the gain adjustment degree of each sensor that needs to be adjusted at each moment is:

[0062]

[0063] in, Indicates Moment The gain adjustment level of each sensor that needs to be adjusted; Indicates the flame brightness saturation value; Indicates Moment The flame brightness of the sensor that needs to be adjusted; Indicates Moment The sensor that needs to be adjusted is the expected value of the flame brightness.

[0064] It should be noted that Indicates Moment The difference between the flame brightness of the sensor that needs to be adjusted and the flame brightness saturation value. The smaller the difference, the greater the adjustment required to ensure the sensor gain; Indicates Moment The greater the difference between the actual flame brightness and the expected value, the greater the deviation of the sensor output from the expected model, and the greater the degree to which the sensor gain needs to be adjusted.

[0065] Step S004: According to the calibration period and calibration accuracy of each sensor, the expected value of the flame brightness of the sensor that needs to be adjusted at each moment, and the flame brightness of each sensor at the same moment, the overall deviation of each sensor that needs to be adjusted at each moment and all other sensors is obtained; the gain adjustment degree of each sensor that needs to be adjusted at each moment is corrected to obtain the corrected gain adjustment degree of each sensor that needs to be adjusted at each moment.

[0066] It should be noted that in the process of determining the degree to which the gain needs to be adjusted, it is necessary to consider whether the situation where the flame intensity does not match the expected target is misjudged as a situation where the gain needs to be adjusted. In order to distinguish whether the difference between the output signal and the target light intensity value is caused by the flame brightness not matching the target or the inappropriate gain setting, multiple sensors can be used for cross-validation. The closer the outputs of multiple sensors are to the expected values, the higher the credibility of the degree to which the above gain needs to be adjusted. In order to calculate the overall deviation of each sensor from the target value, it is necessary to consider that the calibration accuracy and calibration cycle of each sensor may be different. The data output by the sensor with higher calibration accuracy and shorter calibration cycle is more accurate and has a higher reference value.

[0067] Specifically, the calibration period and calibration accuracy of each sensor are obtained, and the specific calculation formula for the overall deviation between each sensor that needs to be adjusted and all other sensors at each moment is:

[0068]

[0069] in, Indicates Moment The overall deviation of the sensor that needs to be adjusted from all other sensors; Indicates the number of sensors; Indicates that except The remaining sensors besides the one that need adjustment Calibration cycle of each sensor; Indicates that except The remaining sensors besides the one that need adjustment The calibration accuracy of each sensor; Indicates Moment The expected value of flame brightness for the sensor that needs to be adjusted; Indicates The moment except The remaining sensors besides the one that need adjustment Flame brightness of each sensor; represents the absolute value function.

[0070] Furthermore, the degree to which the gain of each sensor needs to be adjusted at each moment is corrected by the overall deviation between each sensor that needs to be adjusted and all other sensors at each moment. The specific calculation formula for the gain adjustment degree of each sensor that needs to be adjusted at each moment after correction is:

[0071]

[0072] in, Indicates the corrected Moment The gain adjustment level of each sensor that needs to be adjusted; Indicates Moment The gain adjustment level of each sensor that needs to be adjusted; Indicates Moment The overall deviation of the sensor that needs to be adjusted from all other sensors; represents an exponential function with a natural constant as the base. In this embodiment, Model to present inverse proportional relationship and normalization, As the input of the model, the implementer can set the inverse proportional function and normalization function according to the actual situation.

[0073] Step S005: According to the flame instability of each sensor at each moment and the corrected gain adjustment degree of each sensor that needs to be adjusted at each moment, the corrected flame instability of each sensor that needs to be adjusted at each moment is obtained; combined with the flame temperature and flame intensity of each sensor at each moment, with reference to the standard flame state of the sensor, the similarity between the flame state of each sensor at each moment and the standard flame state is obtained.

[0074] It should be noted that the greater the degree to which the gain of each sensor needs to be adjusted at each moment after correction, the lower the accuracy of the flame brightness measured in this state, and the worse the brightness return value is for the actual flame stability, and the flame stability needs to be corrected using the corrected gain adjustment index.

[0075] Specifically, the specific calculation formula for the flame instability of each sensor that needs to be adjusted at each moment after correction is:

[0076]

[0077] in, Indicates the corrected Moment Flame instability of a sensor that requires adjustment; Indicates Moment Flame instability of a sensor that requires adjustment; Indicates the corrected Moment The gain adjustment level of the sensor that needs to be adjusted.

[0078] Furthermore, the flame instability of the sensor that does not need to be adjusted at each moment does not need to be corrected and adjusted, and the corrected flame instability of the sensor that needs to be adjusted at each moment is used as the flame instability of the sensor corresponding to each moment.

[0079] It should be noted that the flame sensor captures the light and heat radiation emitted by the flame through the photoelectric effect or infrared radiation principle. These signals are converted into electrical signals, and the intensity of the output signal is proportional to the brightness of the flame. Due to the characteristics of the flame emission spectrum, the radiation of specific wavelengths in the spectrum is directly related to the temperature. The sensor can be tuned to these specific wavelengths to obtain temperature-related data. The flame intensity, instability and temperature parameters are compared with the preset standard flame state and the difference is calculated to determine the similarity between the current flame state and the standard flame state.

[0080] Specifically, a three-dimensional vector of the flame state of each sensor at each moment is constructed according to the flame intensity, flame temperature and flame instability of each sensor at each moment; a standard flame state of the sensor is preset, and the specific value is set by the user according to actual production needs. A three-dimensional vector of the standard flame state of the sensor is constructed according to the preset standard flame state of the sensor. The specific calculation formula for the similarity between the flame state of each sensor at each moment and the standard flame state is as follows:

[0081]

[0082] in, Indicates Moment The similarity between the flame state of each sensor and the standard flame state; Indicates Moment The flame state three-dimensional vector of each sensor; A three-dimensional vector representing the standard flame state of the sensor.

[0083] At this point, the similarity between the flame state of each sensor at each moment and the standard flame state is obtained.

[0084] Step S006: judging the flame state of the flame compound machine based on the similarity between the flame state of the current sensor at the current moment and the standard flame state.

[0085] The second threshold value preset in this embodiment is 0.8, which is used as an example for description. Other implementation modes may be set to other values. If the similarity between the flame state of the current sensor at the current moment and the standard flame state is less than the second threshold value, it means that the flame state does not match the expected value and the flame state does not meet the standard. The control system is required to automatically adjust relevant parameters such as fuel flow, oxygen ratio, burner position, etc. according to preset adjustment rules. For example, a flame compound machine needs to maintain a specific flame temperature during the production process, and the actual flame temperature monitored by the installed flame sensor is lower than the set target temperature. After analyzing this deviation, the control system automatically increases the fuel supply and adjusts the oxygen ratio to increase the flame temperature. At the same time, the system will continue to monitor the flame state until the flame temperature returns to the target range. If the flame temperature continues to deviate from the target range, it is determined that the flame compound machine is abnormal, and an alarm is issued to the corresponding operator, prompting the operator to check or manually adjust.

[0086] At this point, this embodiment is completed.

[0087] The present invention also provides a flame detection system for a flame compound machine, comprising a memory, a processor, and a computer program stored in the memory and running on the processor, wherein the processor executes the computer program stored in the memory to implement the steps of the aforementioned flame detection method for a flame compound machine.

[0088] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A flame detection method for a flame compounding machine, It is characterized in that The method comprises the following steps: Collect the flame temperature, flame intensity and flame brightness of the flame compound machine under several sensors at several times; According to the flame brightness difference and change of the same sensor at consecutive moments, the flame instability of each sensor at each moment is obtained; the flame brightness saturation value is obtained; according to the flame brightness saturation value, the flame brightness of each sensor at each moment, and the signal-to-noise ratio of each sensor at each moment, the necessity of gain adjustment of each sensor at each moment is obtained; According to the flame brightness difference and change of the same sensor at consecutive moments, the flame instability of each sensor at each moment is obtained, and the corresponding specific calculation formula is: in, Indicates Moment Flame instability of each sensor; Indicates the number of times the sensor transmits back per second; Indicates Moment Flame brightness of each sensor; Indicates Moment Flame brightness of each sensor; represents the absolute value function; represents the ceiling function; represents the minimum value function, represents the maximum value function; According to the flame brightness saturation value, the flame brightness of each sensor at each moment, and the signal-to-noise ratio of each sensor at each moment, the necessity of gain adjustment for each sensor at each moment is obtained, and the corresponding specific calculation formula is: in, Indicates Moment The necessity of gain adjustment for each sensor; Indicates the flame brightness saturation value; Indicates Moment Flame brightness of each sensor; Indicates Moment The signal-to-noise ratio of each sensor; represents the normalization function; Based on the necessity of gain adjustment for each sensor at each moment, the sensors that need to be adjusted are screened; based on the flame brightness saturation value, the flame brightness of each sensor at each moment and the expected value of the flame brightness, the gain adjustment degree of each sensor that needs to be adjusted at each moment is obtained; According to the flame brightness saturation value, the flame brightness of each sensor at each moment and the expected value of the flame brightness, the gain adjustment degree of each sensor that needs to be adjusted at each moment is obtained, and the corresponding specific calculation formula is: in, Indicates Moment The gain adjustment level of each sensor that needs to be adjusted; Indicates the flame brightness saturation value; Indicates Moment The flame brightness of the sensor that needs to be adjusted; Indicates Moment The expected value of flame brightness for the sensor that needs to be adjusted; According to the calibration period and calibration accuracy of each sensor, the expected value of the flame brightness of the sensor that needs to be adjusted at each moment, and the flame brightness of each sensor at the same moment, the overall deviation between each sensor that needs to be adjusted at each moment and all other sensors is obtained; the gain adjustment degree of each sensor that needs to be adjusted at each moment is corrected to obtain the corrected gain adjustment degree of each sensor that needs to be adjusted at each moment; According to the calibration period and calibration accuracy of each sensor, the expected value of the flame brightness of the sensor that needs to be adjusted at each moment, and the flame brightness of each sensor at the same moment, the overall deviation of each sensor that needs to be adjusted at each moment and all other sensors is obtained, and the corresponding specific calculation formula is: in, Indicates Moment The overall deviation of the sensor that needs to be adjusted from all other sensors; Indicates the number of sensors; Indicates that except The remaining sensors besides the one that need adjustment Calibration cycle of each sensor; Indicates that except The remaining sensors besides the one that need adjustment The calibration accuracy of each sensor; Indicates Moment The expected value of flame brightness for the sensor that needs to be adjusted; Indicates The moment except The remaining sensors besides the one that need adjustment Flame brightness of each sensor; represents the absolute value function; The gain adjustment degree of each sensor that needs to be adjusted at each moment is corrected to obtain the corrected gain adjustment degree of each sensor that needs to be adjusted at each moment. The corresponding specific calculation formula is: in, Indicates the corrected Moment The gain adjustment level of each sensor that needs to be adjusted; Indicates Moment The gain adjustment level of each sensor that needs to be adjusted; Indicates Moment The overall deviation of the sensor that needs to be adjusted from all other sensors; represents an exponential function with a natural constant as base; According to the flame instability of each sensor at each moment and the corrected gain adjustment degree of each sensor that needs to be adjusted at each moment, the corrected flame instability of each sensor that needs to be adjusted at each moment is obtained; combined with the flame temperature and flame intensity of each sensor at each moment, with reference to the standard flame state of the sensor, the similarity between the flame state of each sensor at each moment and the standard flame state is obtained; The specific calculation formula for obtaining the similarity between the flame state of each sensor at each moment and the standard flame state is: in, Indicates Moment The similarity between the flame state of each sensor and the standard flame state; Indicates Moment The flame state three-dimensional vector of each sensor; A three-dimensional vector representing the standard flame state of the sensor; The flame state of the flame compound machine is determined based on the similarity between the flame state of the current sensor at the current moment and the standard flame state.

2. A flame detection method for a flame compounding machine according to claim 1, It is characterized in that The necessity of performing gain adjustment on each sensor at each moment and screening out sensors that need to be adjusted includes the following specific steps: When Moment When the necessity of gain adjustment of the first sensor is greater than the first threshold, the Moment The sensor is the The sensor that needs to be adjusted at any time.

3. A flame detection method for a flame compounding machine according to claim 1, It is characterized in that The method of obtaining the corrected flame instability of each sensor that needs to be adjusted at each moment according to the flame instability of each sensor at each moment and the corrected gain adjustment degree of each sensor that needs to be adjusted at each moment includes the following specific steps: The first Moment The flame instability of the first sensor that needs adjustment is different from the corrected Moment The ratio of the gain adjustment degree of the sensor that needs to be adjusted is recorded as the corrected Moment Flame instability of a sensor that requires adjustment.

4. A flame detection system for a flame compound machine, comprising a memory, a processor, and a computer program stored in the memory and running on the processor, It is characterized in that When the computer program is executed by the processor, the steps of a flame detection method for a flame compound machine as claimed in any one of claims 1 to 3 are implemented.

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