Intelligent online monitoring type operation and maintenance early warning system for combustor and method of intelligent online monitoring type operation and maintenance early warning system

Abstract

The invention discloses an intelligent online monitoring type operation and maintenance early warning system and method for combustors, and belongs to the technical field of monitoring and early warning, and the system comprises an information obtaining module which is used for obtaining state information of all combustors in a preset area, and the state information comprises pressure, flow and temperature of all combustors put into use in the preset area in the operation process; a database is generated according to the state information of different combustors in the preset area; the LSTM network fusion analysis unit responds to the database and is used for analyzing the state information in the database; the LSTM network convergence analysis unit comprises a division module, an acquisition module, an analysis module and a calculation module; by integrating the advanced monitoring technology and the early warning mechanism, the operation safety and efficiency of the combustor are improved, environmental pollution and enterprise cost are reduced, and meanwhile operation convenience and maintenance predictability are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of monitoring and early warning, and in particular to an intelligent online monitoring and operation and maintenance early warning system and method for a burner. Background Art

[0002] A burner is a core component of industrial heating equipment, which is a device that mixes fuel with air and ignites it to generate heat energy. In the iron and steel and non-ferrous metal industries, burners are widely used in equipment such as heating furnaces and smelting furnaces. By generating high-temperature flames, they help melt metal ores and heat metal materials, and ensure uniform heating and precise control of the metal.

[0003] In the prior art, when heating by combustion in a smelting furnace, it is necessary to first open the intake valve and exhaust valve of the smelting furnace, then start the burner, and adjust the flame of the burner to an appropriate size and position for furnace drying. This process will last for a certain period of time. During this period, it is necessary to monitor the temperature and pressure of the burner during the smelting process to ensure the stability and safety of the smelting process, and accordingly adjust the flame size and position of the burner to adapt to different stages of the smelting process. However, the pipeline system of the burner is complex. With the charging and discharging of the smelting furnace, to a certain extent, it will cause uneven temperature distribution in the smelting furnace, resulting in a large amount of nitrogen oxides generated during the combustion process, thus reducing the combustion efficiency, polluting the environment, and increasing the environmental protection cost of the enterprise. Therefore, it is necessary to conduct online monitoring of the burner in use.

[0004] The monitoring methods of the prior art include using an integrated management system of BMS (Burner Management System) or FSSS (Furnace Safety Supervision System), which enables operators to access key data anytime and anywhere through intelligent devices to automatically execute preset programs. However, in the preset program, it is difficult for the system to continuously monitor the parameters and status of the combustion system, and thus it is difficult to perform logical judgments and related operation instructions, making it difficult for operators to quickly identify and respond to the operating status of the burner. In critical situations, it will cause delays in the alarm notifications of the system, making it difficult for operators to predict maintenance requirements and unable to automatically remind operators to perform necessary maintenance. Summary of the Invention

[0005] In view of the above problems existing in the current monitoring and early warning technology field, the present invention is proposed.

[0006] Therefore, one of the objectives of the present invention is to provide a burner intelligent online monitoring-based operation and maintenance warning system and method. Through the monitoring and warning mechanism, it can monitor the pressure, flow rate, and temperature of the burner in real time. The system can promptly detect abnormal states, reduce the risk of accidents, and by analyzing the stability of the preset burner, it helps to optimize the combustion process. At the same time, it can predict maintenance requirements based on historical data and real-time analysis, improving the reliability of the equipment.

[0007] To solve the above technical problems, the present invention provides the following technical solutions:

[0008] On the one hand, the present invention provides a burner intelligent online monitoring-based operation and maintenance warning system, including:

[0009] An information acquisition module, configured to acquire the status information of each burner in a preset area. The status information includes the pressure, flow rate, and temperature of each burner put into use in the preset area during operation, and generates a database based on the status information of different burners in the preset area;

[0010] An LSTM network fusion analysis unit, which responds to the database and is configured to analyze the status information in the database; the LSTM network fusion analysis unit includes a division module, a collection module, an analysis module, and a calculation module;

[0011] The division module is used to divide each burner in the preset area according to , where n represents the nth burner put into use in the preset area;

[0012] The collection module is used to collect the data characteristics of the status information in each database, and mark and distinguish the data characteristics according to the collection period. The collection period includes marking and distinguishing by different collection dates;

[0013] The analysis module responds to the data characteristics collected by the collection module and is configured to analyze the change rules of the data characteristics. The analysis method includes selecting a burner as a preset burner in each burner in the preset area for analysis during furnace drying and after furnace drying;

[0014] The calculation module, based on the analysis of the change rules, is configured to set safety thresholds for the pressure, temperature, and flow rate of the preset burner during the analysis during furnace drying and after furnace drying, and calculate the data difference between the pressure, temperature, and flow rate of the preset burner and the safety thresholds according to the change rules;

[0015] An operating state fusion determination unit, which is based on the data difference and is used to determine the operating state of the preset burner; the operating state fusion determination unit includes a time truncation module, a data arrangement module, and a determination module;

[0016] Based on the in-furnace baking analysis and the post-furnace baking analysis, the time truncation module is used to truncate the pressure values, flow values, and temperature values of at least three time periods in the in-furnace baking analysis and the post-furnace baking analysis;

[0017] Responding to the pressure values, flow values, and temperature values truncated by the time truncation module in the three time periods, the data arrangement module is used to sort the pressure values, flow values, and temperature values truncated in each time period; among them, the sorting method is based on the first time period in the in-furnace baking analysis and the post-furnace baking analysis. In the sorting of the pressure value, flow value, and temperature value in the first time period, if any one of the values exceeds the safety threshold, the system stops sorting the pressure value, flow value, and temperature value in the second time period;

[0018] The determination module is used to determine the operating state of the preset burner. When any one of the pressure value, flow value, and temperature value exceeds the safety threshold, the system determines that the preset burner is in an abnormal state; otherwise, it does not determine;

[0019] A monitoring terminal, which is used to record the operator matching the preset burner, receive the on-site data uploaded by the acquisition monitoring point, and update the background data at the same time; when the system determines that the preset burner is in an abnormal state, it sends an information request for the warning state of the preset burner to the operator.

[0020] As a preferred solution of the present invention, in the analysis module, the in-furnace baking analysis includes measuring the pressure value, flow value, and temperature value of the preset burner in the first time period by using a combustion efficiency detection method;

[0021] The post-furnace baking analysis includes using a combustion stability evaluation method to evaluate and predict the combustion stability of the preset burner by using a statistical analysis method for the change characteristics of the pressure value, flow value, and temperature value.

[0022] As a preferred embodiment of the present invention, wherein: in the time intercepting module, the three time periods include the total duration required for the preset burner to operate in the furnace analysis and the post-furnace analysis. Based on the total duration of the furnace analysis, this duration is divided into three equal durations, and the first of these durations is designated as the first time period. In the first time period, at least 5 pressure values, flow values, and temperature values are collected with a collection period of 30 - 60 seconds, and the change characteristics of the pressure values, flow values, and temperature values in the first time period are analyzed; wherein, based on the temperature value, the time required for the preset burner to exceed the safety threshold is calculated according to the following formula:

[0023] Wherein, p represents the power of the preset burner;

[0024] In the formula, m represents the fuel mass flow rate of the preset burner, c represents the specific heat capacity of the fuel, △T represents the temperature change of the preset burner, and the temperature change is the temperature change when the fuel is completely burned; t represents time;

[0025] Based on the above formula, the highest temperature during the temperature change is collected, and a data set [θ1, θ2, θ3,...., θ n is generated, where n represents the nth highest temperature collected. The time used for each highest temperature change and the temperature difference between each highest temperature are statistically analyzed, and the proportion of the maximum temperature difference in all temperature differences is calculated as follows:

[0026] Wherein, L represents the maximum temperature difference;

[0027] In the formula, y j represents the yth temperature difference collected during the jth time used, u represents the number of occurrences of the same temperature difference, k represents the first temperature difference collected before the maximum temperature difference, and h represents the total number of temperature differences collected during the jth time used;

[0028] Among the total number of temperature differences collected during the jth time used, if the values between each temperature difference are all ≤ 1°C, the system determines that the preset burner is in a stable operating state; otherwise, it does not determine and issues a warning.

[0029] As a preferred embodiment of the present invention, the following steps are included: Obtain the pressure value change of the preset burner from the total number of temperature difference values collected at the j-th use time, and calculate the average value of the pressure during this change process. Among the pressure value changes, intercept the maximum pressure value and the minimum pressure value, and collect the temperature value of the preset burner under the maximum pressure value. If the temperature value exceeds the safety threshold, the system determines that the preset burner is in an abnormal state and issues a warning; and mark the pressure value corresponding to exceeding the safety threshold as the risk pressure value; otherwise, no determination is made.

[0030] As a preferred embodiment of the present invention, the following steps are included: When the temperature value exceeds the safety threshold, collect all the pressure values that do not exceed the safety threshold, and sort the pressure values in chronological order of collection. Select the median value from the sorted pressure values, analyze the change law from the median value to the last pressure value through evidence-based and Delphi methods, and generate a prediction model; at the same time, according to the prediction model, formulate a hierarchical management plan for different pressure changes of the preset burner.

[0031] As a preferred embodiment of the present invention, the following steps are included: In the prediction model, based on the median value, collect the time taken for the pressure to increase between adjacent pressure values, and collect the number of pressure value changes at different times. Calculate the average pressure value at each time from the number of pressure value changes at different times. If the average pressure value shows an increasing trend, the system determines that the pressure change of the preset burner will exceed the risk pressure value and issues a warning; otherwise, no determination is made.

[0032] As a preferred embodiment of the present invention, the following steps are included: When the average pressure value shows an increasing trend, use the Monte Carlo method to sample the pressure values, with at least 10 sampling data, and calculate the data difference in the sampling data. Mark the data difference as the reference difference; when the pressure change difference of the preset burner in the future period is the same as the reference difference, the system determines that the pressure change of the preset burner will exceed the risk pressure value and issues a warning; otherwise, no determination is made.

[0033] As a preferred embodiment of the present invention, the following steps are included: Divide the sampling data into several evaluation indicators, calculate the weight of each evaluation indicator from the median value to the last pressure value, and mark the weight as the reference weight; when in the sampling data of the preset burner in the future period, if the calculated weight is the same as the reference weight, the system determines that the preset burner is in an abnormal state change and issues a warning; otherwise, no determination is made.

[0034] On the other hand, the present invention provides an intelligent online monitoring-based operation and maintenance warning method for a burner, which is applied to an intelligent online monitoring-based operation and maintenance warning system for a burner, and includes the following steps:

[0035] Obtain the status information of each burner in a preset area, where the status information includes the pressure, flow rate, and temperature of each burner put into use in the preset area during operation, and generate a database based on the status information of different burners in the preset area;

[0036] Analyze the status information in the database, and divide the burners in the preset area according to where n represents the nth burner put into use in the preset area;

[0037] Collect the data characteristics of the status information in each database, and mark and distinguish the data characteristics according to the collection period, where the collection period includes marking and distinguishing by different collection dates;

[0038] Analyze the change rules of the data characteristics, and the analysis method includes selecting a burner as a preset burner in each burner in the preset area for analysis during furnace drying and after furnace drying;

[0039] Give safety thresholds for the pressure, temperature, and flow rate of the preset burner during the analysis during furnace drying and after furnace drying, and calculate the data difference between the pressure, temperature, and flow rate of the preset burner and the safety thresholds according to the change rules;

[0040] Determine the operating status of the preset burner; and intercept the pressure values, flow rate values, and temperature values of at least three periods during the analysis during furnace drying and after furnace drying;

[0041] When any one of the pressure value, flow rate value, and temperature value exceeds the safety threshold, the system determines that the preset burner is in an abnormal state; otherwise, it does not determine.

[0042] The present invention integrates automated monitoring and warning functions, can monitor the pressure, flow rate, and temperature of the burner in real time, enables the system to detect abnormal states in a timely manner, reduces the risk of accidents, and by analyzing the stability of the preset burner, helps to optimize the combustion process, improve the combustion efficiency. At the same time, the system can issue warnings in a timely manner according to parameter changes, enabling operators to respond quickly, avoid potential dangers, and can predict maintenance needs based on historical data and real-time analysis, improve the reliability of the equipment, and the system provides data-driven decision-making support for operators based on data characteristic analysis and change rule analysis, improves the scientificity and accuracy of decision-making, and reduces manual intervention. Description of the Drawings

[0043] To more clearly illustrate the technical solutions of the embodiments of the present invention, the following will briefly introduce the accompanying drawings required for the description of the embodiments. Obviously, the accompanying drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other accompanying drawings can be obtained based on these drawings. Among them:

[0044] Figure 1 It is a schematic modular structure diagram of the intelligent online monitoring-based operation and maintenance warning system for a burner according to an embodiment of the present invention;

[0045] Figure 2 It is a schematic flowchart of the method according to an embodiment of the present invention;

[0046] Figure 3 It is a schematic structural diagram of the process according to an embodiment of the present invention;

[0047] Reference numerals in the figure: 110 - information acquisition module; 120 - LSTM network fusion analysis unit; 1201 - division module; 1202 - acquisition module; 1203 - analysis module; 1204 - calculation module; 130 - operation status fusion determination unit; 1301 - time truncation module; 1302 - data arrangement module; 1303 - determination module; 140 - monitoring terminal. Detailed implementation manners

[0048] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the following will clearly and completely describe the technical solutions of the embodiments of the present invention with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. Based on the described embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art belong to the scope of protection of the present invention.

[0049] Since in the preset program, it is difficult for the system to continuously monitor the parameters and status of the combustion system, and thus difficult to perform logical judgments and related operation instructions, making it difficult for operators to quickly identify and respond to the operating status of the burner. In critical situations, it will cause delays in the alarm notifications of the system, and thus make it difficult for operators to predict maintenance requirements and also unable to automatically remind operators to perform necessary maintenance.

[0050] Based on this, the present invention proposes an intelligent online monitoring-based operation and maintenance warning system and method for a burner. Through the monitoring and warning mechanism of the present invention, the pressure, flow rate, and temperature of the burner can be monitored in real time. The system can promptly detect abnormal states, reduce the risk of accidents, and by analyzing the stability of the preset burner, it helps to optimize the combustion process. At the same time, it can predict maintenance requirements based on historical data and real-time analysis, improving the reliability of the equipment.

[0051] The following further specifically describes this solution through embodiments in combination with the accompanying drawings.

[0052] Referring to Figures 1 to 3 , which is an embodiment of the present invention. This embodiment provides an intelligent online monitoring-based operation and maintenance warning system for burners, including:

[0053] An information acquisition module 110, configured to acquire the status information of each burner in a preset area. The status information includes the pressure, flow rate, and temperature of each burner put into use in the preset area during operation, and generate a database according to the status information of different burners in the preset area;

[0054] An LSTM network fusion analysis unit 120. The LSTM network fusion analysis unit responds to the database and is configured to analyze the status information in the database. The LSTM network fusion analysis unit 120 includes a division module 1201, a collection module 1202, an analysis module 1203, and a calculation module 1204;

[0055] The division module 1201 is configured to divide each burner in the preset area according to , where n represents the nth burner put into use in the preset area;

[0056] The collection module 1202 is configured to collect the data features of the status information in each database, and mark and distinguish the data features according to the collection time period. The collection time period includes marking and distinguishing by different collection dates;

[0057] The analysis module 1203 responds to the data features collected by the collection module and is configured to analyze the change rules of the data features. The analysis method includes selecting a burner as a preset burner in each burner in the preset area for analysis during furnace drying and after furnace drying;

[0058] It should be noted in this embodiment that the analysis during furnace drying includes measuring the pressure value, flow rate value, and temperature value of the preset burner in the first time period by using the method of combustion efficiency detection;

[0059] The analysis after furnace drying includes using the method of combustion stability evaluation to evaluate and predict the combustion stability of the preset burner by using statistical analysis methods for the change characteristics of the pressure value, flow rate value, and temperature value;

[0060] Based on the analysis of the change rules, the calculation module 1204 is configured to set safety thresholds for the pressure, temperature, and flow rate of the preset burner in the analysis during furnace drying and after furnace drying, and calculate the data difference between the pressure, temperature, and flow rate of the preset burner and the safety thresholds according to the change rules;

[0061] The operating state fusion determination unit 130 is based on the data difference and is used to determine the operating state of a preset burner; the operating state fusion determination unit 130 includes a time truncation module 1301, a data arrangement module 1302, and a determination module 1303;

[0062] The time truncation module 1301 is based on the in-furnace baking analysis and the post-furnace baking analysis, and is used to truncate the pressure values, flow values, and temperature values of at least three time periods in the in-furnace baking analysis and the post-furnace baking analysis;

[0063] It should be emphasized in this embodiment that in the time truncation module, the three time periods include the total duration required for the preset burner to operate in the in-furnace baking analysis and the post-furnace baking analysis. Based on the total duration of the in-furnace baking analysis, this duration is divided into three equal durations, and the first of these durations is given as the first time period. In the first time period, at least 5 pressure values, flow values, and temperature values are collected at an acquisition period of 30 - 60 seconds, and the change characteristics of the pressure values, flow values, and temperature values in the first time period are analyzed; among them, based on the temperature value, the time required for the preset burner to exceed the safety threshold is calculated, and the calculation is obtained according to the following formula:

[0064] where p represents the power of the preset burner;

[0065] In the formula, m represents the fuel mass flow rate of the preset burner, c represents the specific heat capacity of the fuel, △T represents the temperature change of the preset burner, and the temperature change is the temperature change when the fuel is completely burned; t represents time;

[0066] Based on the above formula, the highest temperature during the temperature change is collected, and a data set [θ1, θ2, θ3,...., θ n is generated, where n represents the nth highest temperature collected, the time taken for each highest temperature change and the temperature difference between each highest temperature are statistically analyzed, and the proportion of the maximum temperature difference in all temperature differences is calculated as follows:

[0067] where L represents the maximum temperature difference;

[0068] In the formula, y j represents the yth temperature difference collected during the jth time taken, u represents the number of occurrences of the same temperature difference, k represents the first temperature difference collected before the maximum temperature difference, and h represents the total number of temperature differences collected during the jth time taken;

[0069] Among the total number of temperature differences collected during the jth time taken, if the values between each temperature difference are all ≤ 1°C, the system determines that the preset burner is in a stable operating state; otherwise, it is not determined and a warning is issued;

[0070] On the basis described above, in this embodiment, further, the pressure value change of the preset burner is obtained from the total number of temperature differences collected at the j-th time of use, and the average value of the pressure during this change process is calculated. Among them, the maximum pressure value and the minimum pressure value are intercepted from the pressure value change, and the temperature value of the preset burner is collected under the condition of the maximum pressure value. If the temperature value exceeds the safety threshold, the system determines that the preset burner is in an abnormal state and issues a warning; and the pressure value corresponding to the safety threshold exceeded is marked as the risk pressure value; otherwise, it is not determined;

[0071] It should be noted that the experience of using burners in real life shows that when the pressure is high, the heat load of the burner is too large, which may cause excessive carbon monoxide in the flue gas, too high a flue gas temperature and a reduction in thermal efficiency, and even burn out the burner, reducing its service life. Moreover, when the pressure exceeds the standard and the injection flow rate of the gas through the burner nozzle exceeds the standard, the supply of primary air (premixed air) and secondary air (peripheral supplementary air) required for combustion will be insufficient, resulting in incomplete combustion, yellow flames and black smoke, and a significant increase in the carbon monoxide content in the flue gas; Therefore, it is of practical significance for this embodiment to collect the temperature value of the preset burner under the condition of the maximum pressure value as a reference;

[0072] The data arrangement module 1302 responds to the pressure values, flow values and temperature values intercepted by the response time interception module in three time periods, and is used to sort the pressure values, flow values and temperature values intercepted in each time period; among them, the sorting method is based on the first time period in the analysis during furnace drying and the analysis after furnace drying. In the sorting of the pressure value, flow value and temperature value in the first time period, if any one of the values exceeds the safety threshold, the system stops sorting the pressure value, flow value and temperature value in the second time period;

[0073] The determination module 1303 is used to determine the operating state of the preset burner. When any one of the pressure value, flow value and temperature value exceeds the safety threshold, the system determines that the preset burner is in an abnormal state; otherwise, it is not determined;

[0074] The monitoring terminal 140 is used to record the operator matched with the preset burner, receive the on-site data uploaded by the collection monitoring point, and update the background data at the same time; when the system determines that the preset burner is in an abnormal state, it sends an information request for the warning state of the preset burner to the operator;

[0075] In this embodiment, further, when the temperature value exceeds the safety threshold, all pressure values when the safety threshold is not exceeded are collected, and the pressure values are sorted in chronological order according to the collection time. The median value is collected from the sorted pressure values, and the variation law from the median value to the last pressure value is analyzed through evidence-based and Delphi methods to generate a prediction model. At the same time, according to the prediction model, a hierarchical management plan for different pressure changes of the preset burner is formulated.

[0076] On the above basis, in the prediction model, based on the median value, the time taken for the pressure between adjacent pressure values to increase is collected, and the number of pressure value changes is collected at different times. The average pressure value at each time is calculated from the number of pressure value changes at different times. If the average pressure value shows an increasing trend, the system determines that the pressure change of the preset burner will exceed the risk pressure value and issues an alarm; otherwise, it does not determine.

[0077] It should be emphasized in this embodiment that when the average pressure value shows an increasing trend, the Monte Carlo method is used to sample the pressure values, and the number of sampling data is at least 10, and the data difference in the sampling data is calculated and marked as the reference difference. When the pressure change difference of the preset burner in the future period is the same as the reference difference, the system determines that the pressure change of the preset burner will exceed the risk pressure value and issues an alarm; otherwise, it does not determine.

[0078] Further, in this embodiment, the sampling data is divided into several evaluation indicators, and the weight of each evaluation indicator is calculated from the median value to the last pressure value and marked as the reference weight. When the calculated weight in the sampling data of the preset burner in the future period is the same as the reference weight, the system determines that the preset burner is in an abnormal state change and issues an alarm; otherwise, it does not determine.

[0079] Based on the above, this application not only improves the safety and efficiency of the burner operation through the integrated monitoring technology and early warning mechanism, but also enhances the convenience of operation and the predictability of maintenance.

[0080] Combined with the above intelligent online monitoring and operation and maintenance warning system for burners, this embodiment also proposes the working method of this system as follows:

[0081] Obtain the status information of each burner in the preset area. The status information includes the pressure, flow rate, and temperature of each burner put into use in the preset area during operation, and generate a database according to the status information of different burners in the preset area.

[0082] Analyze the status information in the database, and classify the burners in the preset area according to Perform partitioning, where n represents the nth burner put into use in a preset area;

[0083] Collect the data characteristics of the status information in each database, and mark and distinguish the data characteristics according to the collection period, where the collection period includes marking and distinguishing by different collection dates;

[0084] Analyze the change law of the data characteristics, and the analysis method includes selecting a burner as a preset burner in each burner in the preset area for analysis during furnace drying and after furnace drying;

[0085] Set safety thresholds for the pressure, temperature, and flow rate of the preset burner in the analysis during furnace drying and after furnace drying, and calculate the data difference between the pressure, temperature, and flow rate of the preset burner and the safety thresholds according to the change law;

[0086] Determine the operating state of the preset burner; and intercept the pressure values, flow rate values, and temperature values of at least three periods in the analysis during furnace drying and after furnace drying;

[0087] When any one of the pressure value, flow rate value, and temperature value exceeds the safety threshold, the system determines that the preset burner is in an abnormal state; otherwise, it does not determine.

[0088] In summary, the present invention integrates automated monitoring and early warning functions, can monitor the pressure, flow rate, and temperature of the burner in real time, the system can promptly detect abnormal states, reduce the risk of accidents, and by analyzing the stability of the preset burner, it helps to optimize the combustion process, improve the combustion efficiency. At the same time, the system can promptly issue an early warning according to parameter changes, enabling the operator to respond quickly, avoid potential dangers, and can predict maintenance requirements based on historical data and real-time analysis, improve the reliability of the equipment, and the system provides data-driven decision-making support for the operator according to data characteristic analysis and change law analysis, improving the scientificity and accuracy of decision-making and reducing manual intervention.

[0089] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit them. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical solutions of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical solutions of the present invention, and they should all be covered by the scope of the claims of the present invention.

Claims

1. An intelligent online monitoring-based operation and maintenance warning system for a burner, characterized in that, Including: An information acquisition module, configured to acquire the status information of each burner in a preset area, where the status information includes the pressure, flow rate, and temperature of each burner put into use in the preset area during operation, and generate a database according to the status information of different burners in the preset area; An LSTM network fusion analysis unit, the LSTM network fusion analysis unit responding to the database, configured to analyze the status information in the database; the LSTM network fusion analysis unit includes a division module, a collection module, an analysis module, and a calculation module; The division module is used to divide each burner in the preset area according to where n represents the nth burner put into use in the preset area; The collection module is configured to collect the data features of the status information in each database, and mark and distinguish the data features according to the collection time period, where the collection time period includes marking and distinguishing by different collection dates; The analysis module responds to the data features collected by the collection module, configured to analyze the change law of the data features, and its analysis method includes selecting a burner as a preset burner in each burner in the preset area for analysis during furnace drying and after furnace drying; Based on the analysis of the change law, the calculation module is configured to give safety thresholds for the pressure, temperature, and flow rate of the preset burner in the analysis during furnace drying and the analysis after furnace drying, and calculate the data difference between the pressure, temperature, and flow rate of the preset burner and the safety thresholds according to the change law; An operating state fusion determination unit, the operating state fusion determination unit based on the data difference, configured to determine the operating state of the preset burner; the operating state fusion determination unit includes a time intercepting module, a data arranging module, and a determination module; Based on the analysis during furnace drying and the analysis after furnace drying, the time intercepting module is configured to intercept the pressure values, flow rate values, and temperature values of at least three time periods in the analysis during furnace drying and the analysis after furnace drying; The data arranging module responds to the pressure values, flow rate values, and temperature values intercepted by the time intercepting module in the three time periods, configured to sort the pressure values, flow rate values, and temperature values intercepted in each time period; wherein, the sorting method is based on the first time period in the analysis during furnace drying and the analysis after furnace drying, and in the sorting of the pressure value, flow rate value, and temperature value in the first time period, if any one of the values exceeds the safety threshold, the system stops sorting the pressure value, flow rate value, and temperature value in the second time period; The determination module is configured to determine the operating state of the preset burner. When any one of the pressure value, flow rate value, and temperature value exceeds the safety threshold, the system determines that the preset burner is in an abnormal state; otherwise, it does not determine; A monitoring terminal, configured to record the operator matched with the preset burner, receive the on-site data uploaded by the collection monitoring point, and update the background data at the same time; when the system determines that the preset burner is in an abnormal state, it sends an information request for the warning state of the preset burner to the operator.

2. The intelligent online monitoring-based operation and maintenance warning system for a burner according to claim 1, wherein In the analysis module, the in-furnace analysis includes measuring the pressure value, flow rate value, and temperature value of the preset burner during the first period by means of combustion efficiency detection; The post-furnace analysis includes using the method of combustion stability evaluation to evaluate and predict the combustion stability of the preset burner by means of statistical analysis of the change characteristics of the pressure value, flow rate value, and temperature value.

3. The intelligent online monitoring-based operation and maintenance warning system for a burner according to claim 1, characterized in that, In the time truncation module, the three periods include evaluating the total operation duration required for the preset burner in the in-furnace analysis and the post-furnace analysis. Based on the total duration of the in-furnace analysis, this duration is divided into three equal durations, and the first of them is given as the first period. In the first period, at least 5 pressure values, flow rate values, and temperature values are collected with an acquisition period of 30 to 60 seconds, and the change characteristics of the pressure value, flow rate value, and temperature value in the first period are analyzed; among them, based on the temperature value, the time required for the preset burner to exceed the safety threshold is calculated according to the following formula: Wherein, p represents the preset burner power; In the formula, m represents the fuel mass flow rate of the preset burner, c represents the specific heat capacity of the fuel, △T represents the temperature change of the preset burner, and the temperature change is the temperature change when the fuel is completely burned; t represents time; Based on the above formula, collect the highest temperature when the temperature changes, and generate a data set [θ1, θ2, θ3,...., θ n , where n represents the nth highest temperature collected. Calculate the time taken for each change in the highest temperature and the temperature difference between each highest temperature, and calculate the proportion of the maximum temperature difference in all temperature differences as follows: Wherein, L represents the maximum temperature difference; where y j represents the y-th temperature difference collected during the j-th use time, u represents the number of occurrences of the same temperature difference, k represents the first temperature difference collected before the maximum temperature difference, and h represents the total number of temperature differences collected during the j-th use time; Among the total number of temperature differences collected at the jth time of use, if the values between the temperature differences are all ≤1°C, the system determines that the preset burner is in a stable operation state; otherwise, it is not determined and a warning is issued.

4. The intelligent online monitoring-based operation and maintenance warning system for a burner according to claim 3, wherein Obtain the pressure value change of the preset burner among the total number of temperature differences collected at the jth time of use, and calculate the average pressure during this change process. Among the pressure value changes, intercept the maximum pressure value and the minimum pressure value, and collect the temperature value of the preset burner under the maximum pressure value. If the temperature value exceeds the safety threshold, the system determines that the preset burner is in an abnormal state and issues a warning; and mark the pressure value corresponding to exceeding the safety threshold as the risk pressure value; otherwise, it is not determined.

5. The intelligent online monitoring-based operation and maintenance warning system for a burner according to claim 4, wherein When the temperature value exceeds the safety threshold, collect all the pressure values when it does not exceed the safety threshold, sort the pressure values in chronological order, collect the median value among the sorted pressure values, analyze the change law from the median value to the last pressure value by means of evidence-based and Delphi methods, and generate a prediction model; at the same time, according to the prediction model, formulate a hierarchical management plan for different pressure changes of the preset burner.

6. The intelligent online monitoring-based operation and maintenance warning system for a burner according to claim 5, characterized in that, In the prediction model, based on the median value, collect the time taken for the pressure between adjacent pressure values to increase, and collect the number of pressure value changes at different times. Calculate the average pressure value at each time among the number of pressure value changes at different times. If the average pressure value shows an increasing trend, the system determines that the pressure change of the preset burner will exceed the risk pressure value and issues a warning; Otherwise, it is not determined.

7. An intelligent online monitoring-based operation and maintenance warning system for a burner, characterized in that, When the average pressure value shows an increasing trend, the Monte Carlo method is used to sample the pressure values, and the number of sampling data is at least 10. Then calculate the data differences in the sampling data and mark the data differences as reference differences; When the pressure change difference of the preset burner in the future period is the same as the reference difference, the system determines that the pressure change of the preset burner will exceed the risk pressure value and issues a warning; Otherwise, no determination is made.

8. An intelligent online monitoring-based operation and maintenance warning system for a burner, characterized in that, Divide the sampling data into several evaluation indicators, calculate the weight of each evaluation indicator from the median value to the last pressure value, and mark the weight as the reference weight; when in the sampling data of the preset burner in the future period, if the calculated weight is the same as the reference weight, the system determines that the preset burner is in an abnormal state change and issues a warning; Otherwise, no determination is made.

9. A method for intelligent online monitoring-based operation and maintenance warning of a burner, which is applied to an intelligent online monitoring-based operation and maintenance warning system of a burner as described in claim 1, and is characterized in that, It includes the following steps: Obtain the status information of each burner in the preset area. The status information includes the pressure, flow rate, and temperature of each burner put into use in the preset area during operation, and generate a database according to the status information of different burners in the preset area; Analyze the status information in the database and divide each burner in the preset area according to where n represents the nth burner put into use in the preset area; Collect the data characteristics of the status information in each database, and mark and distinguish the data characteristics according to the collection period. The collection period includes marking and distinguishing by different collection dates; Analyze the change law of the data characteristics. The analysis method includes selecting a burner as the preset burner in each burner in the preset area for analysis during furnace drying and after furnace drying; Give safety thresholds for the pressure, temperature, and flow rate of the preset burner during the analysis during furnace drying and after furnace drying, and calculate the data differences between the pressure, temperature, and flow rate of the preset burner and the safety thresholds according to the change law; Determine the operating state of the preset burner; and intercept the pressure values, flow rate values, and temperature values of at least three periods during the analysis during furnace drying and after furnace drying; When any one of the pressure value, flow rate value, and temperature value exceeds the safety threshold, the system determines that the preset burner is in an abnormal state; otherwise, no determination is made.

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