Quartz stone production waste gas RTO operation and maintenance management method based on data analysis

Abstract

The invention relates to the technical field of RTO equipment operation and maintenance, and particularly discloses a quartz stone production waste gas RTO operation and maintenance management method based on data analysis, and the method comprises the steps: collecting the operation state data of an internal fan and the temperature of a combustion chamber of RTO equipment in the operation process of the RTO equipment through a data collection module; the running state data of the fan in the RTO equipment in the running process are collected, the running state of the fan is analyzed in combination with the data, whether the current combustion condition is influenced by the fan or not can be judged according to the analysis result, then the temperature data are corrected in combination with the running state data of the fan, and the temperature of the RTO equipment is corrected. The accuracy of the temperature data can be guaranteed, and it is guaranteed that whether the combustion condition of waste gas in the combustion chamber is stable or not is accurately judged subsequently, so that the situation of stability misjudgment caused by inaccurate data due to the fact that the temperature data is affected by the state of the draught fan is avoided, and the efficiency of waste gas treatment operation is improved.

Description

Technical Field

[0001] The present invention relates to the field of RTO equipment operation and maintenance technology, and in particular to a quartz stone production waste gas RTO operation and maintenance management method based on data analysis. Background Art

[0002] The waste gas generated during the quartz stone production process usually contains organic matter and other potentially harmful substances, which need to be treated by RTO, i.e., regenerative thermal incinerator. In order to ensure the safe and stable operation of RTO equipment, daily inspections and operation monitoring of RTO equipment are required during daily use to ensure the safe use of RTO equipment.

[0003] RTO equipment is generally inspected for daily inspection and operation monitoring by checking the operating status of key components such as the air inlet, exhaust port, heat storage body, burner, valve, sensor, etc., and keeping records. The records should include inspection items, inspection date, operating status of the inspected items, etc. Operation monitoring includes real-time monitoring of data such as processing flow, combustion chamber temperature, outlet concentration, outlet temperature, and heat storage bed temperature to ensure safe and efficient operation of the equipment.

[0004] In the prior art, when the combustion chamber temperature of the RTO equipment is monitored in real time, the stability of the combustion conditions at different time points is generally determined by real-time monitoring of the temperature data of the combustion chamber. However, since the temperature of the combustion chamber is affected by the state of the fan, if the temperature data of the combustion chamber is directly collected, the data may have certain errors, which may lead to misjudgment when the exhaust gas combustion stability in the combustion chamber is subsequently determined, and further lead to the subsequent adoption of incorrect operation and maintenance methods, affecting the efficiency of the exhaust gas treatment operation. Summary of the invention

[0005] The purpose of the present invention is to provide a quartz stone production waste gas RTO operation and maintenance management method based on data analysis to solve the following technical problems: How to accurately judge the state of the combustion process in the combustion chamber.

[0006] The purpose of the present invention can be achieved through the following technical solutions: A quartz stone production waste gas RTO operation and maintenance management method based on data analysis, the method comprising: S1: Collect the operating status data of the internal fan of the RTO equipment and the temperature of the combustion chamber of the RTO equipment during operation through the data acquisition module; S2: by combining the operating status data of the internal fan of the RTO device during operation, the operating status influence coefficient of the fan in the RTO device at different time points is calculated, and the operating status of the fan is analyzed according to the data. If the operating status is good, step S3 is performed, otherwise, step S5 is performed; S3: by combining the operating state influence coefficient of the fan in the RTO device at different time points, the combustion chamber temperature of the RTO device is corrected, and combined with the corrected temperature data, whether the combustion condition of the combustion chamber temperature is stable is analyzed. If yes, proceed to step S4, otherwise, proceed to step S5; S4: Analyze the future trend of the temperature inside the combustion chamber of the RTO equipment by combining the corrected temperature data, and evaluate the overall performance of the equipment based on the analysis data; S5: When it is determined that there is a problem with the fan or combustion chamber temperature in the RTO equipment, an early warning is issued in a timely manner.

[0007] Furthermore, the process of analyzing the operating status of the fan in S2 includes: By formula Calculate the operating status influence coefficient of the fan in the RTO equipment at the i-th time point ; Among them, i is a data collection at any time point, is the total number of data collection times at the i-th time point, is the vibration amplitude of the fan at the i-th time point, is the preset vibration amplitude, is the vibration frequency of the fan at the i-th time point, is the preset vibration frequency, is the operating current intensity of the fan at the i-th time point, For all The average value of is the temperature of the fan at the i-th time point, for The standard value of is the error influence coefficient, which is set according to empirical fitting.

[0008] Furthermore, the process of analyzing the operating status of the fan in S2 further includes: By calculating the operating status influence coefficient of the fan in the RTO device at the i-th time point The preset operating status impact coefficient threshold Make a comparison; like , determine that the operating status of the fan at the current time point is unstable, which means that the fan is faulty, and promptly issue an early warning to the backend operation and maintenance personnel; like , it is judged that the operating status of the fan at the current time point is stable, which means that there is no fault in the fan and no early warning is needed.

[0009] Furthermore, the process of analyzing whether the combustion condition of the combustion chamber temperature is stable in S3 includes: By formula Calculate the corrected combustion chamber temperature at the i-th time point ; And by taking the combustion chamber temperature corrected at the i-th time point The preset temperature threshold range Make a comparison; like , it is judged that the combustion room temperature is too low at the current time point, and because the fan is in good operating condition at the current time point, it is judged that there is a fault in the control system of the RTO equipment and an early warning is issued; like , judging that the combustion chamber temperature is good at the current time point; like , it is judged that the combustion room temperature is too high at the current time point, and because the fan is in good operating condition at the current time point, it is judged that there is a fault in the control system of the RTO equipment and an early warning is issued; in, is the combustion chamber temperature collected at time point i, is the wind turbine state influence function, which is set based on empirical fitting.

[0010] Furthermore, the process of analyzing whether the combustion condition of the combustion chamber temperature is stable in S3 also includes: By formula Calculate the combustion chamber temperature dispersion coefficient of the RTO equipment from the start of operation to the i-th time point ; And by calculating the combustion chamber temperature dispersion coefficient of the RTO equipment from the start of operation to the i-th time point The preset coefficient of dispersion threshold Make a comparison; like , it is judged that the fluctuation value of the combustion chamber temperature of the RTO equipment from the start of operation to the i-th time point is large, indicating that the exhaust gas combustion is unstable, indicating that there may be problems such as insufficient combustion or control system failure; like , it is judged that the fluctuation value of the combustion chamber temperature of the RTO equipment from the start of operation to the i-th time point is small, indicating that the exhaust gas combustion is stable; in, For all The average value of For all The maximum value in all The minimum value in .

[0011] Furthermore, the process of evaluating the overall performance of the device in S4 includes: By real-time monitoring and real-time correction of the combustion chamber temperature, the real-time corrected temperature of the combustion chamber can be obtained, and a corrected temperature change curve can be established. ; And through the formula Calculate the corrected temperature change coefficient of the combustion chamber from the start of operation to the i-th time point ; in, It is the first monitoring time point after the combustion chamber starts working. is the i-th monitoring time point after the combustion chamber starts working.

[0012] Furthermore, the process of evaluating the overall performance of the device in S4 further includes: By calculating the corrected temperature change coefficient of the combustion chamber from the start of operation to the i-th time point The coefficient of variation threshold Make a comparison; like , determine if there is an abnormal temperature in the combustion chamber, which indicates that the overall performance of the equipment is abnormal, and issue an early warning; On the contrary, if it is judged that there is no temperature abnormality in the combustion chamber, it means that there is no abnormality in the overall performance of the equipment and no early warning is needed.

[0013] Furthermore, the process of making an early warning in S5 includes: First, an early warning of abnormal operation of the RTO equipment is issued to the back-end operation and maintenance personnel. Then, the abnormal behavior of the RTO equipment is marked and transmitted to the operation and maintenance management platform through the human-computer interaction module.

[0014] Beneficial effects of the present invention: (1) The present invention collects the operating status data of the internal fan of the RTO equipment during operation, and analyzes the operating status of the fan in combination with the data. It can determine whether the current combustion situation is affected by the fan through the analysis results. Then, by correcting the temperature data in combination with the fan operating status data, it can ensure the accuracy of the temperature data and ensure that an accurate judgment is made on whether the exhaust gas combustion situation in the combustion chamber is stable. This avoids the situation where the temperature data is affected by the state of the fan, resulting in inaccurate data and misjudgment of stability, thereby improving the efficiency of the exhaust gas treatment operation.

[0015] (2) The present invention calculates the operating state influence coefficient of the fan in the RTO device at the i-th time point. The preset operating status impact coefficient threshold Through this comparison method, an accurate judgment can be made on whether the operating status of the fan at the current time point is stable, and then whether the fan is faulty can be further judged. When the fan is abnormal, an early warning can be issued in time to ensure the stability of the fan's operating status and avoid the situation where the abnormal fan status affects the temperature of the combustion chamber of the RTO equipment.

[0016] (3) The present invention calculates the combustion chamber temperature after correction at the i-th time point The preset temperature threshold range Through this comparison method, the temperature of the combustion chamber at the current time point can be judged, and based on the temperature, it can be further judged whether there is a fault in the control system of the RTO equipment. The corrected combustion chamber temperature data can reduce errors, thereby improving the accuracy of the judgment results on whether there is a fault in the control system of the RTO equipment, and provide accurate data support for subsequent operation and maintenance, thereby improving operation and maintenance efficiency.

[0017] (4) The present invention calculates the combustion chamber temperature dispersion coefficient of the RTO device from the start of operation to the i-th time point. The preset coefficient of dispersion threshold Through this comparison method, the fluctuation value of the combustion chamber temperature of the RTO equipment from the start of work to the i-th time point can be accurately judged. The fluctuation value of the combustion chamber temperature can reflect the thermal stability of the combustion process in the combustion chamber. According to the thermal stability data of the combustion process in the combustion chamber, it can be further judged whether the RTO equipment has problems such as insufficient combustion or control system failure, thereby realizing the operation monitoring of the RTO equipment and ensuring the normal implementation of operation and maintenance work.

[0018] (5) The present invention calculates the corrected temperature change coefficient of the combustion chamber from the start of operation to the i-th time point The coefficient of variation threshold Through this comparison method, an accurate judgment can be made on whether there is a temperature abnormality in the combustion chamber, and because the data is obtained after correction, the accuracy of the judgment result can be improved, so as to further judge whether there is an abnormality in the overall performance of the equipment. On this basis, accurate data support can be provided for subsequent operation and maintenance, thereby improving operation and maintenance efficiency and further improving the efficiency of exhaust gas treatment operations. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] The present invention will be further described below in conjunction with the accompanying drawings.

[0020] Figure 1 It is a flow chart of a quartz stone production waste gas RTO operation and maintenance management method based on data analysis in the present invention. DETAILED DESCRIPTION

[0021] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0022] See also Figure 1 As shown, in one embodiment, the present application provides a quartz stone production waste gas RTO operation and maintenance management method based on data analysis, the method comprising: S1: Collect the operating status data of the internal fan of the RTO equipment and the temperature of the combustion chamber of the RTO equipment during operation through the data acquisition module; S2: by combining the operating status data of the internal fan of the RTO device during operation, the operating status influence coefficient of the fan in the RTO device at different time points is calculated, and the operating status of the fan is analyzed according to the data. If the operating status is good, step S3 is performed, otherwise, step S5 is performed; S3: by combining the operating state influence coefficient of the fan in the RTO device at different time points, the combustion chamber temperature of the RTO device is corrected, and combined with the corrected temperature data, whether the combustion condition of the combustion chamber temperature is stable is analyzed. If yes, proceed to step S4, otherwise, proceed to step S5; S4: Analyze the future trend of the temperature inside the combustion chamber of the RTO equipment by combining the corrected temperature data, and evaluate the overall performance of the equipment based on the analysis data; S5: When it is determined that there is a problem with the fan or combustion chamber temperature in the RTO equipment, an early warning is issued in time; Through the above technical scheme, this example provides a RTO operation and maintenance management method for quartz stone production waste gas based on data analysis. During the operation of the RTO equipment, the operating status data of the internal fan of the RTO equipment and the temperature of the combustion chamber of the RTO equipment are first collected through the data acquisition module during the operation of the RTO equipment. Then, by combining the operating status data of the internal fan of the RTO equipment during the operation, the operating status influence coefficient of the fan in the RTO equipment at different time points is calculated, and the operating status of the fan is analyzed according to the data. When the operating status is judged to be poor, an early warning is issued. When the operating status is judged to be good, the temperature of the combustion chamber of the RTO equipment is corrected by combining the operating status influence coefficient of the fan in the RTO equipment at different time points, and combined with the corrected temperature data, whether the combustion condition of the combustion chamber temperature is stable is analyzed. If the combustion condition is judged to be unstable, an early warning is issued. Otherwise, by combining the corrected temperature data, the future change trend of the temperature in the combustion chamber of the RTO equipment is analyzed, and the overall performance of the equipment is evaluated in combination with the analysis data. With such a setting, by collecting the operating status data of the internal fan of the RTO equipment during operation, and analyzing the operating status of the fan based on the data, it is possible to determine whether the current combustion situation is affected by the fan through the analysis results. Then, by correcting the temperature data based on the fan operating status data, the accuracy of the temperature data can be guaranteed, and an accurate judgment can be made on whether the exhaust gas combustion situation in the combustion chamber is stable in the subsequent process, thereby avoiding the situation where the temperature data is affected by the state of the fan, resulting in inaccurate data and misjudgment of stability, thereby improving the efficiency of the exhaust gas treatment operation.

[0023] The process of analyzing the operating status of the fan in S2 includes: By formula Calculate the operating status influence coefficient of the fan in the RTO equipment at the i-th time point ; Among them, i is a data collection at any time point, is the total number of data collection times at the i-th time point, is the vibration amplitude of the fan at the i-th time point, is the preset vibration amplitude, is the vibration frequency of the fan at the i-th time point, is the preset vibration frequency, is the operating current intensity of the fan at the i-th time point, For all The average value of is the temperature of the fan at the i-th time point, for The standard value can be selected and set according to the allowable error in the empirical data. is the error influence coefficient, which is set according to empirical fitting; Through the above technical solution, this example provides the operating status influence coefficient of the fan in the RTO equipment at the i-th time point: , can be obtained by formula Calculated, where The current fluctuation value of the fan from the start of work to the i-th time point can be calculated. Therefore, it is obvious that when the vibration amplitude, vibration frequency and temperature of the fan at the i-th time point are higher, and the current fluctuation value of the fan from the start of work to the i-th time point is larger, then the operating state influence coefficient of the fan in the RTO device at the i-th time point is higher, indicating that the operating state of the fan at the current time point is poor, that is, it means that there is an abnormality in the working state of the fan, which will affect the amount of exhaust gas introduced, thereby causing the temperature of the combustion chamber in the RTO device to fluctuate, and timely operation and maintenance are required. On the contrary, when the vibration amplitude, vibration frequency and temperature of the fan at the i-th time point are lower, and the current fluctuation value of the fan from the start of work to the i-th time point is smaller, then the operating state influence coefficient of the fan in the RTO device at the i-th time point is lower, indicating that the operating state of the fan at the current time point is better, that is, it means that there is no abnormality in the working state of the fan, and it will not affect the amount of exhaust gas introduced; Through this calculation method, the status of the fan at the current time point can be analyzed according to the numerical value of the calculation result, so as to monitor the operating status of the RTO equipment.

[0024] The process of analyzing the operating status of the fan in S2 further includes: By calculating the operating status influence coefficient of the fan in the RTO device at the i-th time point The preset operating status impact coefficient threshold Make a comparison; like , determine that the operating status of the fan at the current time point is unstable, which means that the fan is faulty, and promptly issue an early warning to the backend operation and maintenance personnel; like , it is judged that the operation status of the fan at the current time point is stable, which means that there is no fault in the fan and no early warning is needed; Through the above technical solution, this example calculates the operating state influence coefficient of the fan in the RTO device at the i-th time point The preset operating status impact coefficient threshold Through this comparison method, an accurate judgment can be made on whether the operating status of the fan at the current time point is stable, and then whether the fan is faulty can be further judged. When the fan is abnormal, an early warning can be issued in time to ensure the stability of the fan's operating status and avoid the situation where the abnormal fan status affects the temperature of the combustion chamber of the RTO equipment.

[0025] The process of analyzing whether the combustion condition of the combustion chamber temperature is stable in S3 includes: By formula Calculate the corrected combustion chamber temperature at the i-th time point ; And by taking the combustion chamber temperature corrected at the i-th time point The preset temperature threshold range Make a comparison; like , it is judged that the combustion room temperature is too low at the current time point, and because the fan is in good operating condition at the current time point, it is judged that there is a fault in the control system of the RTO equipment and an early warning is issued; like , judging that the combustion chamber temperature is good at the current time point; like , it is judged that the combustion room temperature is too high at the current time point, and because the fan is in good operating condition at the current time point, it is judged that there is a fault in the control system of the RTO equipment and an early warning is issued; in, is the combustion chamber temperature collected at time point i, is the fan state influence function, which is set based on empirical fitting; Through the above technical solution, this example provides the combustion chamber temperature corrected at the i-th time point: , can be obtained by formula The combustion chamber temperature at the i-th time point is then calculated and corrected. The preset temperature threshold range Through this comparison method, the temperature of the combustion chamber at the current time point can be judged, and based on the temperature, it can be further judged whether there is a fault in the control system of the RTO equipment. The corrected combustion chamber temperature data can reduce errors, thereby improving the accuracy of the judgment results on whether there is a fault in the control system of the RTO equipment, and provide accurate data support for subsequent operation and maintenance, thereby improving operation and maintenance efficiency.

[0026] The process of analyzing whether the combustion condition of the combustion chamber temperature is stable in S3 also includes By formula Calculate the combustion chamber temperature dispersion coefficient of the RTO equipment from the start of operation to the i-th time point ; And by calculating the combustion chamber temperature dispersion coefficient of the RTO equipment from the start of operation to the i-th time point The preset coefficient of dispersion threshold Make a comparison; like , it is judged that the fluctuation value of the combustion chamber temperature of the RTO equipment from the start of operation to the i-th time point is large, indicating that the exhaust gas combustion is unstable, indicating that there may be problems such as insufficient combustion or control system failure; like , it is judged that the fluctuation value of the combustion chamber temperature of the RTO equipment from the start of operation to the i-th time point is small, indicating that the exhaust gas combustion is stable; in, For all The average value of For all The maximum value in all The minimum value in ; Through the above technical solution, this example provides the combustion chamber temperature dispersion coefficient of the RTO device from the start of operation to the i-th time point , can be obtained by formula Calculated, then the combustion chamber temperature dispersion coefficient of the RTO device from the start of operation to the i-th time point is calculated. The preset coefficient of dispersion threshold Through this comparison method, the fluctuation value of the combustion chamber temperature of the RTO equipment from the start of work to the i-th time point can be accurately judged. The fluctuation value of the combustion chamber temperature can reflect the thermal stability of the combustion process in the combustion chamber. According to the thermal stability data of the combustion process in the combustion chamber, it can be further judged whether the RTO equipment has problems such as insufficient combustion or control system failure, thereby realizing the operation monitoring of the RTO equipment and ensuring the normal implementation of operation and maintenance work.

[0027] The process of evaluating the overall performance of the equipment in S4 includes: By real-time monitoring and real-time correction of the combustion chamber temperature, the real-time corrected temperature of the combustion chamber can be obtained, and a corrected temperature change curve can be established. ; And through the formula Calculate the corrected temperature change coefficient of the combustion chamber from the start of operation to the i-th time point ; in, It is the first monitoring time point after the combustion chamber starts working. is the i-th monitoring time point after the combustion chamber starts working; Through the above technical solution, this example stops the combustion chamber from the start of work to the i-th time point after the correction of the temperature change coefficient , can be obtained by formula It is obtained by calculation. Through this calculation method, the change in the corrected temperature of the combustion chamber from the start of operation to the i-th time point can be analyzed. This data reflects the change in the temperature in the combustion chamber from the start of operation to the i-th time point, and then reflects the stability of the exhaust gas combustion in the combustion chamber, thereby providing accurate data for subsequent judgment of whether there is any abnormality in the overall performance of the equipment.

[0028] The process of evaluating the overall performance of the device in S4 also includes: By calculating the corrected temperature change coefficient of the combustion chamber from the start of operation to the i-th time point The coefficient of variation threshold Make a comparison; like , determine if there is an abnormal temperature in the combustion chamber, which indicates that the overall performance of the equipment is abnormal, and issue an early warning; On the contrary, if it is judged that there is no abnormal temperature in the combustion chamber, it means that there is no abnormality in the overall performance of the equipment and no warning is needed; Through the above technical solution, this example calculates the corrected temperature change coefficient of the combustion chamber from the start of operation to the i-th time point The coefficient of variation threshold Through this comparison method, an accurate judgment can be made on whether there is a temperature abnormality in the combustion chamber, and because the data is obtained after correction, the accuracy of the judgment result can be improved, so as to further judge whether there is an abnormality in the overall performance of the equipment. On this basis, accurate data support can be provided for subsequent operation and maintenance, thereby improving operation and maintenance efficiency and further improving the efficiency of exhaust gas treatment operations.

[0029] The process of making an early warning in S5 includes: First, an early warning of abnormal operation of the RTO equipment is issued to the back-end operation and maintenance personnel. Then, the abnormal behavior of the RTO equipment is marked and transmitted to the operation and maintenance management platform through the human-computer interaction module. Through the above technical solution, this example provides a process for making an early warning. First, an early warning of abnormal operation of the RTO device is issued to the background operation and maintenance personnel. Then, the abnormal behavior of the RTO device is marked and transmitted to the operation and maintenance management platform through the human-computer interaction module. Through such a setting, the abnormal behavior of the RTO device can be quickly marked, and then the marked information is transmitted to the operation and maintenance management platform. The operation and maintenance management personnel can specify the corresponding operation and maintenance methods according to the marked abnormal behavior information, thereby improving the operation and maintenance efficiency.

[0030] The above is a detailed description of an embodiment of the present invention, but the content is only a preferred embodiment of the present invention and cannot be considered to limit the scope of implementation of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.

Claims

1. A quartz stone production waste gas RTO operation and maintenance management method based on data analysis, characterized in that: The method comprises: S1: Collect the operating status data of the internal fan of the RTO equipment and the temperature of the combustion chamber of the RTO equipment during operation through the data acquisition module; S2: by combining the operating status data of the internal fan of the RTO device during operation, the operating status influence coefficient of the fan in the RTO device at different time points is calculated, and the operating status of the fan is analyzed according to the data. If the operating status is good, step S3 is performed, otherwise, step S5 is performed; S3: by combining the operating state influence coefficient of the fan in the RTO device at different time points, the combustion chamber temperature of the RTO device is corrected, and combined with the corrected temperature data, whether the combustion condition of the combustion chamber temperature is stable is analyzed. If yes, proceed to step S4, otherwise, proceed to step S5; S4: Analyze the future trend of the temperature inside the combustion chamber of the RTO equipment by combining the corrected temperature data, and evaluate the overall performance of the equipment based on the analysis data; S5: When it is determined that there is a problem with the fan or combustion chamber temperature in the RTO equipment, an early warning is issued in a timely manner.

2. According to claim 1, a quartz stone production waste gas RTO operation and maintenance management method based on data analysis is characterized in that: The process of analyzing the operating status of the fan in S2 includes: By formula Calculate the operating status influence coefficient of the fan in the RTO equipment at the i-th time point ; Among them, i is a data collection at any time point, is the total number of data collection times at the i-th time point, is the vibration amplitude of the fan at the i-th time point, is the preset vibration amplitude, is the vibration frequency of the fan at the i-th time point, is the preset vibration frequency, is the operating current intensity of the fan at the i-th time point, For all The average value of is the temperature of the fan at the i-th time point, for The standard value of is the error influence coefficient, which is set according to empirical fitting.

3. According to claim 2, a quartz stone production waste gas RTO operation and maintenance management method based on data analysis is characterized in that: The process of analyzing the operating status of the fan in S2 further includes: By calculating the operating status influence coefficient of the fan in the RTO device at the i-th time point The preset operating status impact coefficient threshold Make a comparison; like , determine that the operating status of the fan at the current time point is unstable, which means that the fan is faulty, and promptly issue an early warning to the backend operation and maintenance personnel; like , it is judged that the operating status of the fan at the current time point is stable, which means that there is no fault in the fan and no early warning is needed.

4. According to claim 3, a quartz stone production waste gas RTO operation and maintenance management method based on data analysis is characterized in that: The process of analyzing whether the combustion condition of the combustion chamber temperature is stable in S3 includes: By formula Calculate the corrected combustion chamber temperature at the i-th time point ; And by taking the combustion chamber temperature corrected at the i-th time point The preset temperature threshold range Make a comparison; like , it is judged that the combustion room temperature is too low at the current time point, and because the fan is in good operating condition at the current time point, it is judged that there is a fault in the control system of the RTO equipment and an early warning is issued; like , judging that the combustion chamber temperature is good at the current time point; like , it is judged that the combustion room temperature is too high at the current time point, and because the fan is in good operating condition at the current time point, it is judged that there is a fault in the control system of the RTO equipment and an early warning is issued; in, is the combustion chamber temperature collected at time point i, is the wind turbine state influence function, which is set based on empirical fitting.

5. According to claim 4, a quartz stone production waste gas RTO operation and maintenance management method based on data analysis is characterized in that: The process of analyzing whether the combustion condition of the combustion chamber temperature is stable in S3 also includes By formula Calculate the combustion chamber temperature dispersion coefficient of the RTO equipment from the start of operation to the i-th time point ; And by calculating the combustion chamber temperature dispersion coefficient of the RTO equipment from the start of operation to the i-th time point The preset coefficient of dispersion threshold Make a comparison; like , it is judged that the fluctuation value of the combustion chamber temperature of the RTO equipment from the start of operation to the i-th time point is large, indicating that the exhaust gas combustion is unstable, indicating that there may be problems such as insufficient combustion or control system failure; like , it is judged that the fluctuation value of the combustion chamber temperature of the RTO equipment from the start of operation to the i-th time point is small, indicating that the exhaust gas combustion is stable; in, For all The average value of For all The maximum value in all The minimum value in .

6. According to claim 5, a quartz stone production waste gas RTO operation and maintenance management method based on data analysis is characterized in that: The process of evaluating the overall performance of the equipment in S4 includes: By real-time monitoring and real-time correction of the combustion chamber temperature, the real-time corrected temperature of the combustion chamber can be obtained, and a corrected temperature change curve can be established. ; And through the formula Calculate the corrected temperature change coefficient of the combustion chamber from the start of operation to the i-th time point ; in, It is the first monitoring time point after the combustion chamber starts working. is the i-th monitoring time point after the combustion chamber starts working.

7. According to claim 6, a quartz stone production waste gas RTO operation and maintenance management method based on data analysis is characterized in that: The process of evaluating the overall performance of the device in S4 also includes: By calculating the corrected temperature change coefficient of the combustion chamber from the start of operation to the i-th time point The coefficient of variation threshold Make a comparison; like , determine if there is an abnormal temperature in the combustion chamber, which indicates that the overall performance of the equipment is abnormal, and issue an early warning; On the contrary, if it is judged that there is no temperature abnormality in the combustion chamber, it means that there is no abnormality in the overall performance of the equipment and no early warning is needed.

8. According to a data analysis-based quartz stone production waste gas RTO operation and maintenance management method according to claim 1, it is characterized in that: The process of making an early warning in S5 includes: First, an early warning of abnormal operation of the RTO equipment is issued to the back-end operation and maintenance personnel. Then, the abnormal behavior of the RTO equipment is marked and transmitted to the operation and maintenance management platform through the human-computer interaction module.

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