Intelligent induced draft fan working state monitoring method and system
By analyzing and comparing the historical and real-time monitoring data of the induced fan, evaluating its working status and generating early warning information, the problems of untimely monitoring and high maintenance costs in traditional monitoring methods are solved, and the safety and reliability of the equipment are improved.
Patent Information
- Application Number
- CN202510494444.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-04-18
- Publication Date
- 2025-06-20
AI Technical Summary
Traditional induced fan monitoring methods rely on manual inspection and regular maintenance, and there are problems such as untimely monitoring, subjective judgment and high maintenance costs.
By obtaining the historical operation monitoring data of the induced fan, analyzing and determining characteristic parameters closely related to the working status, obtaining real-time operation monitoring data and standard feature data for comparison and analysis, evaluating the working status and generating early warning information.
Real-time monitoring of equipment status, timely discover abnormal situations, improve equipment safety and reliability, reduce maintenance costs, and ensure stable operation of equipment.
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Figure CN120180338A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of induced draft fan monitoring, and particularly to an intelligent monitoring method and system for the working state of an induced draft fan. Background Art
[0002] Induced draft fans generally refer to the fans used to transport air or gas in industrial equipment, and they are usually used in industrial and commercial places such as processing plants, power plants, and HVAC systems. The main function of an induced draft fan is to transport air or gas from one place to another to maintain the normal air flow circulation or pressure balance inside the system. With the development of industrial production, as one of the important industrial equipment, induced draft fans play a crucial role in ensuring production safety and efficiency.
[0003] However, traditional monitoring methods for induced draft fans mainly rely on manual inspections and regular maintenance, which have problems such as untimely monitoring, subjective judgment, and high maintenance costs. To solve these problems, an intelligent monitoring method for the working state of an induced draft fan has emerged. Summary of the Invention
[0004] To solve the above technical problems, the present invention provides an intelligent monitoring method and system for the working state of an induced draft fan, including: Obtain the historical operation monitoring data of the induced draft fan, and analyze the historical operation monitoring data to determine the characteristic parameters closely related to the working state of the induced draft fan; Determine the characteristic data corresponding to the characteristic parameters from the historical operation monitoring data, and analyze and process the characteristic data to obtain standard characteristic data; Obtain the real-time characteristic data corresponding to the characteristic parameters in the real-time operation monitoring data of the induced draft fan, and conduct a comparative analysis between the real-time characteristic data and the standard characteristic data; Analyze and evaluate the working state of the induced draft fan according to the result of the comparative analysis to obtain the state evaluation value of the induced draft fan; Determine the state level of the induced draft fan according to the state evaluation value, and judge whether to generate a warning message for the working state of the induced draft fan according to the state level.
[0005] Further, the step of obtaining the historical operation monitoring data of the induced draft fan and analyzing the historical operation monitoring data to determine the characteristic parameters closely related to the working state of the induced draft fan includes: Obtain the historical operation monitoring data of the induced draft fan, and select several candidate characteristic parameters related to the working state of the induced draft fan from the historical operation monitoring data; Analyze the relevance of each candidate characteristic parameter to the working state of the induced draft fan, and select the candidate characteristic parameters whose relevance exceeds the preset threshold as the characteristic parameters closely related to the working state of the induced draft fan.
[0006] Further, determining the characteristic data corresponding to the characteristic parameters from the historical operation monitoring data, and analyzing and processing the characteristic data to obtain the standard characteristic data, including: Determining the characteristic data corresponding to the characteristic parameters from the historical operation monitoring data, and calculating the overall average value of the characteristic data; Obtaining the change period of the characteristic data, and calculating the variance value of the characteristic data in each change period; Selecting the change periods with variance values less than the preset value, and calculating the period average value of the characteristic data in the change period; Selecting the characteristic data corresponding to the change period with the period average value closest to the overall average value, and determining it as the standard characteristic data.
[0007] Further, obtaining the real-time characteristic data corresponding to the characteristic parameters in the real-time operation monitoring data of the induced draft fan, and comparing and analyzing the real-time characteristic data with the standard characteristic data, including: Obtaining the real-time characteristic data corresponding to the characteristic parameters in the real-time operation monitoring data of the induced draft fan, and determining the change period of the real-time characteristic data; Calculating the difference between the real-time characteristic data corresponding to each change period and the standard characteristic data, and obtaining the difference data of each change period; Determining the characteristic change coefficient of the characteristic parameters based on the difference data of each change period.
[0008] Further, determining the characteristic change coefficient of the characteristic parameters based on the difference data of each change period, including: Calculating the average value of the difference data of each change period, and plotting the difference data of each change period as a difference data curve; Determining the maximum value and the minimum value in the difference data curve, and calculating the difference between the maximum value and the minimum value in the data difference curve, to obtain the maximum-minimum difference of the difference data of each change period; Calculating the characteristic change coefficient of the characteristic parameters based on the average value and the maximum-minimum difference of the difference data of each change period. The calculation formula of the characteristic change coefficient of the characteristic parameters is: , where L is the characteristic change coefficient of the characteristic parameter, Di is the maximum-minimum difference of the difference data of the i-th change period, and Si is the average value of the difference data of the i-th change period.
[0009] Further, analyzing and evaluating the working state of the induced draft fan according to the comparison and analysis results to obtain the state evaluation value of the induced draft fan, including: Obtain the characteristic change coefficients of each characteristic parameter, evaluate and take values for the characteristic change coefficients of each characteristic parameter, and obtain the difference evaluation values of each characteristic parameter; Perform weighted summation calculation on the difference evaluation values of each characteristic parameter and the preset weights to obtain the status evaluation value of the induced draft fan.
[0010] Further, determining the status level of the induced draft fan according to the status evaluation value, and judging whether to generate a working status warning message for the induced draft fan according to the status level, including: Preset the corresponding relationship between the status level and the status evaluation value interval. For each status evaluation value interval in the corresponding relationship between the status level and the status evaluation value interval, a corresponding status level is associated; Obtain the status evaluation value of the induced draft fan, and select the status level corresponding to the status evaluation value interval based on the mapping relationship of the status evaluation value interval to which the status evaluation value belongs in the corresponding relationship between the status level and the status evaluation value interval; Obtain the status level of the induced draft fan, judge the relationship between the status level and the preset status level. If the status level does not exceed the preset status level, judge that there is no need to generate a working status warning message for the induced draft fan; if the status level exceeds the preset status level, judge that it is necessary to generate a working status warning message for the induced draft fan.
[0011] The present invention also provides an intelligent monitoring system for the working status of an induced draft fan, including: An acquisition module, configured to acquire the historical operation monitoring data of the induced draft fan, and analyze the historical operation monitoring data to determine the characteristic parameters closely related to the working status of the induced draft fan; A determination module, configured to determine the characteristic data corresponding to the characteristic parameters from the historical operation monitoring data, and analyze and process the characteristic data to obtain the standard characteristic data; A comparison module, configured to acquire the real-time characteristic data corresponding to the characteristic parameters in the real-time operation monitoring data of the induced draft fan, and perform comparative analysis on the real-time characteristic data and the standard characteristic data; An evaluation module, configured to analyze and evaluate the working status of the induced draft fan according to the comparative analysis result to obtain the status evaluation value of the induced draft fan; A judgment module, configured to determine the status level of the induced draft fan according to the status evaluation value, and judge whether to generate a working status warning message for the induced draft fan according to the status level.
[0012] Compared with the prior art, the intelligent monitoring method and system for the working status of an induced draft fan in an embodiment of the present invention have the beneficial effects that: The present invention obtains historical operation monitoring data, analyzes it to determine characteristic parameters closely related to the working state of the induced draft fan, and determines standard characteristic data based on the characteristic parameters, which helps to focus on key monitoring indicators and reduce the processing and analysis work of redundant data; Through the comparative analysis of the real-time characteristic data and the standard characteristic data, the present invention helps to monitor the equipment state in real time, timely detect abnormal situations, and improve the safety and reliability of the equipment; Based on the comparative analysis results and combined with the state evaluation algorithm, the present invention can evaluate the equipment state, improve the accuracy and real-time performance of equipment monitoring, and provide a decision-making basis for the operation of the equipment; The early warning information generated based on the evaluation results of the present invention helps to determine the equipment state level, make an early warning judgment in a timely manner, prevent equipment failures in advance, reduce maintenance costs, and ensure the stable operation of the equipment. BRIEF DESCRIPTION OF THE DRAWINGS
[0013] Figure 1 is a schematic flow structure diagram of the intelligent induced draft fan working state monitoring method in an embodiment of the present invention; Figure 2 is a schematic composition diagram of the intelligent induced draft fan working state monitoring system in an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS
[0014] The following further describes in detail the specific embodiments of the present application with reference to the drawings and embodiments. The following embodiments are used to illustrate the present invention but are not used to limit the scope of the present invention.
[0015] In the description of the present application, it should be understood that the orientation or positional relationship indicated by the terms "center", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", etc. is based on the orientation or positional relationship shown in the drawings, and is only for the convenience of describing the present application and simplifying the description, rather than indicating or implying that the platform or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be construed as limiting the present application.
[0016] The terms "", "second" are only used for descriptive purposes and cannot be construed as indicating or implying relative importance or implicitly indicating the quantity of the indicated technical features. Thus, the features defined with "", "second" may explicitly or implicitly include one or more of such features. In the description of the present application, unless otherwise stated, the meaning of "a plurality" is two or more.
[0017] In the description of the present application, it should be noted that unless otherwise clearly specified and defined, the terms "installation", "connection", and "coupling" should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium, and it can be the communication inside two components. For those of ordinary skill in the art, the specific meanings of the above terms in the present application can be understood according to specific situations.
[0018] As Figure 1 shown, in an embodiment of the present application, an intelligent monitoring method for the working state of an induced draft fan is provided, including: S100: Obtain the historical operation monitoring data of the induced draft fan, and analyze the historical operation monitoring data to determine the characteristic parameters closely related to the working state of the induced draft fan; S200: Determine the characteristic data corresponding to the characteristic parameters from the historical operation monitoring data, and analyze and process the characteristic data to obtain standard characteristic data; S300: Obtain the real-time characteristic data corresponding to the characteristic parameters in the real-time operation monitoring data of the induced draft fan, and perform a comparative analysis on the real-time characteristic data and the standard characteristic data; S400: Analyze and evaluate the working state of the induced draft fan according to the result of the comparative analysis to obtain the state evaluation value of the induced draft fan; S500: Determine the state level of the induced draft fan according to the state evaluation value, and determine whether to generate a warning message for the working state of the induced draft fan according to the state level.
[0019] Furthermore, by obtaining the historical operation monitoring data, analyzing it to determine the characteristic parameters closely related to the working state of the induced draft fan, and determining the standard characteristic data according to the characteristic parameters, the present invention helps to focus on the key monitoring indicators and reduce the processing and analysis work of redundant data; by comparing and analyzing the real-time characteristic data and the standard characteristic data, the present invention helps to monitor the equipment state in real time, discover abnormal situations in a timely manner, and improve the safety and reliability of the equipment; by combining the result of the comparative analysis with the state evaluation algorithm, the present invention can evaluate the equipment state, improve the accuracy and real-time performance of equipment monitoring, and provide a decision-making basis for the operation of the equipment; the warning message generated based on the evaluation result in the present invention helps to determine the equipment state level, make a warning judgment in a timely manner, prevent equipment failures in advance, reduce the maintenance cost, and ensure the stable operation of the equipment.
[0020] In an embodiment of the present application, an intelligent monitoring method for the working state of an induced draft fan is provided. The historical operation monitoring data of the induced draft fan is obtained and analyzed to determine characteristic parameters closely related to the working state of the induced draft fan, including: obtaining the historical operation monitoring data of the induced draft fan, and selecting several candidate characteristic parameters related to the working state of the induced draft fan from the historical operation monitoring data; analyzing the correlation between each candidate characteristic parameter and the working state of the induced draft fan, and selecting the candidate characteristic parameters whose correlation exceeds a preset threshold as the characteristic parameters closely related to the working state of the induced draft fan.
[0021] Specifically, the historical operation monitoring data of the induced draft fan, including data of various characteristic parameters such as rotational speed, temperature, vibration, pressure, current, and voltage, is obtained from the equipment's data archive or database; several candidate characteristic parameters that may be related to the working state of the induced draft fan, such as the stability of the rotational speed, the change range of the temperature, the amplitude of the vibration, and the fluctuation of the pressure, are selected from the historical data. By selecting candidate characteristic parameters that may be related to the working state of the induced draft fan, the focus can be placed on key monitoring indicators, reducing unnecessary data processing and analysis work; the correlation analysis method (such as correlation coefficient, mutual information, etc.) is used to evaluate the correlation between each candidate characteristic parameter and the working state of the induced draft fan, which can quantify the correlation degree between each candidate characteristic parameter and the working state of the induced draft fan, helping to confirm which parameters have a strong impact on the working state of the induced draft fan; the candidate characteristic parameters whose correlation exceeds the preset threshold are selected as the characteristic parameters closely related to the working state of the induced draft fan, laying a foundation for subsequent state monitoring, helping to focus on key monitoring indicators, and improving the accuracy and practicality of monitoring.
[0022] In an embodiment of the present application, an intelligent monitoring method for the working state of an induced draft fan is provided. Characteristic data corresponding to the characteristic parameters is determined from the historical operation monitoring data, and the characteristic data is analyzed and processed to obtain standard characteristic data, including: determining the characteristic data corresponding to the characteristic parameters from the historical operation monitoring data, and calculating the overall average value of the characteristic data; obtaining the change period of the characteristic data, and calculating the variance value of the characteristic data in each change period; selecting the change periods with variance values less than the preset value, and calculating the period average value of the characteristic data in this change period; selecting the characteristic data corresponding to the change period with the period average value closest to the overall average value as the standard characteristic data.
[0023] Specifically, determine the characteristic data corresponding to the characteristic parameters from the historical operation monitoring data, such as rotational speed, temperature, vibration, etc., and then calculate the overall average value of these characteristic data, which can help understand the overall level of the characteristic data; determine the change period of the characteristic data, that is, the change rule of the characteristic data within a certain time range; calculate the variance value of the characteristic data in each change period to quantify the fluctuation degree of the characteristic data within the period; screen out the change periods with variance values less than the preset threshold, and the characteristic data corresponding to these periods is relatively stable and has less fluctuation; for the selected stable periods, calculate the period average value of the characteristic data therein to determine the typical level of the characteristic data within the period; select from the characteristic data corresponding to the change period with the closest period average value to the overall average value as the standard characteristic data, and these standard characteristic data can represent the typical performance of the device under different working conditions. Through this process, the typical change mode and typical characteristic data of the device characteristic parameters can be obtained, and these typical characteristic data can be used as a reference for the normal operation state of the device, which is helpful for subsequent anomaly detection, fault diagnosis and predictive analysis. At the same time, these data also provide a basis for the comparative analysis and evaluation of the device state, which is helpful for identifying abnormal situations in the device operation and providing early warning information.
[0024] In an embodiment of the present application, an intelligent induced draft fan working state monitoring method is provided. Obtain the real-time characteristic data corresponding to the characteristic parameters in the real-time operation monitoring data of the induced draft fan, and conduct a comparative analysis on the real-time characteristic data and the standard characteristic data, including: obtain the real-time characteristic data corresponding to the characteristic parameters in the real-time operation monitoring data of the induced draft fan, and determine the change period of the real-time characteristic data; calculate the difference between the real-time characteristic data corresponding to each change period and the standard characteristic data to obtain the difference data of each change period; determine the characteristic change coefficient of the characteristic parameter based on the difference data of each change period.
[0025] Specifically, obtain the real-time characteristic data corresponding to the characteristic parameters from the real-time operation monitoring data of the induced draft fan, and determine the change period of these data, that is, the change law of the real-time data within a certain time range; calculate the difference between the real-time characteristic data and the standard characteristic data for each change period to obtain the difference data for each change period. These difference data reflect the deviation degree between the real-time characteristic data and the standard characteristic data; based on the difference data for each change period, the characteristic change coefficient of the characteristic parameter can be calculated, which can help evaluate the change degree of the real-time characteristic data. The characteristic change coefficient is a parameter used to quantify the difference degree between the real-time data and the standard data. Through this step, the change of the device characteristic parameters can be monitored in real time, which can help understand the deviation degree between the real-time characteristic data and the standard characteristic data, so as to timely detect the change of the device state and conduct further analysis and processing. This helps to realize the real-time monitoring and early warning of the device state and improve the reliability and safety of the device.
[0026] In an embodiment of the present application, an intelligent monitoring method for the working state of an induced draft fan is provided. Determining the characteristic change coefficient of the characteristic parameter based on the difference data for each change period includes: calculating the average value of the difference data for each change period, and plotting the difference data for each change period into a difference data curve; determining the maximum value and the minimum value in the difference data curve, and calculating the difference between the maximum value and the minimum value in the data difference curve to obtain the maximum-minimum difference of the difference data for each change period; calculating the characteristic change coefficient of the characteristic parameter based on the average value and the maximum-minimum difference of the difference data for each change period. The calculation formula for the characteristic change coefficient of the characteristic parameter is: , where L is the characteristic change coefficient of the characteristic parameter, Di is the maximum-minimum difference of the difference data for the i-th change period, and Si is the average value of the difference data for the i-th change period.
[0027] Specifically, for the difference data within each change cycle, calculate its average value, and form a difference data curve with the difference data within each change cycle. Through the change trend of the curve, the change of characteristic data can be observed more intuitively; determine the maximum value and the minimum value from the difference data curve, which can help find the extreme situations of the change of characteristic data within the change cycle. For the difference data curve of each change cycle, calculate the difference between its maximum value and minimum value, which reflects the range of change of characteristic data; combine the average value and the maximum-minimum difference of the difference data of each change cycle to calculate the characteristic change coefficient of the characteristic parameter, quantitatively evaluate the change degree of the characteristic data, so as to better understand the fluctuation of the characteristic data. By calculating the average value and the extreme value difference of the difference data of each change cycle, and drawing the difference data curve, the change of characteristic data can be understood more comprehensively. The characteristic change coefficient can help us quantitatively evaluate the fluctuation degree of the characteristic data, so as to better monitor the change of the equipment state and take corresponding measures in time. This helps to detect equipment anomalies in advance, reduce the failure risk, and improve the reliability and safety of the equipment.
[0028] In an embodiment of the present application, an intelligent induced draft fan working state monitoring method is provided. Analyze and evaluate the working state of the induced draft fan according to the comparative analysis result to obtain the state evaluation value of the induced draft fan, including: obtaining the characteristic change coefficient of each characteristic parameter, and evaluating and taking values for the characteristic change coefficient of each characteristic parameter to obtain the difference evaluation value of each characteristic parameter; performing weighted summation calculation on the difference evaluation value of each characteristic parameter and a preset weight to obtain the state evaluation value of the induced draft fan.
[0029] Specifically, for the characteristic change coefficient of each characteristic parameter, evaluating and taking values can obtain the difference evaluation value of each characteristic parameter, and these values are used to describe the state change of each characteristic parameter; according to the preset weight, perform weighted summation calculation on the difference evaluation value of each characteristic parameter to comprehensively consider the influence of each characteristic parameter on the state of the induced draft fan. The value obtained through the weighted summation calculation can be regarded as the state evaluation value of the induced draft fan, and this value can help us comprehensively understand the overall state of the induced draft fan, including the change of each characteristic parameter. By evaluating and taking values for the characteristic change coefficient of each characteristic parameter and performing weighted summation calculation based on the preset weight, the state evaluation value of the induced draft fan can be obtained. This value comprehensively considers the change of each characteristic parameter and can help to understand the overall state of the induced draft fan more comprehensively. This helps to realize the comprehensive evaluation and monitoring of the equipment state, improve the understanding of the equipment operation situation, and provide a basis for subsequent maintenance and management.
[0030] In an embodiment of the present application, an intelligent monitoring method for the working state of a induced draft fan is provided. Determining the state level of the induced draft fan according to the state evaluation value, and judging whether to generate a working state warning information of the induced draft fan according to the state level, including: presetting the corresponding relationship between the state level - state evaluation value interval, and for each state evaluation value interval of the corresponding relationship between the state level - state evaluation value interval, a corresponding state level is associated; obtaining the state evaluation value of the induced draft fan, and based on the mapping relationship of the state evaluation value interval to which the state evaluation value belongs in the corresponding relationship between the state level - state evaluation value interval, selecting the state level corresponding to the state evaluation value interval; obtaining the state level of the induced draft fan, judging the relationship between the state level and the preset state level, if the state level does not exceed the preset state level, then judge that there is no need to generate the working state warning information of the induced draft fan; if the state level exceeds the preset state level, then judge that it is necessary to generate the working state warning information of the induced draft fan.
[0031] Specifically, for the state evaluation value of the induced draft fan, preset the corresponding relationship between the state level - state evaluation value interval, that is, divide the state evaluation value into different intervals, and associate a corresponding state level with each interval; obtain the state evaluation value of the induced draft fan, and then map it based on the state evaluation value interval to which the value belongs in the corresponding relationship between the state level - state evaluation value interval to determine its corresponding state level; once the state level of the induced draft fan is determined, it can be compared with the preset state level. If the state level does not exceed the preset state level, then judge that there is no need to generate the working state warning information of the induced draft fan; if the state level exceeds the preset state level, then judge that it is necessary to generate the working state warning information of the induced draft fan. By mapping the state evaluation value into the preset corresponding relationship between the state level - state evaluation value interval, and judging whether the state level of the induced draft fan exceeds the preset state level according to the mapping relationship, the automatic evaluation and warning of the state of the induced draft fan can be realized, which helps to timely detect abnormal equipment states, improve the monitoring and control of the equipment operation situation, thereby reducing potential failure risks, and providing timely decision-making support for equipment maintenance and management.
[0032] Such as Figure 2As shown in the figure, in an embodiment of the present application, an intelligent induced draft fan working state monitoring system is provided, including: an acquisition module, configured to acquire historical operation monitoring data of the induced draft fan, and analyze the historical operation monitoring data to determine characteristic parameters closely related to the working state of the induced draft fan; a determination module, configured to determine characteristic data corresponding to the characteristic parameters from the historical operation monitoring data, and analyze and process the characteristic data to obtain standard characteristic data; a comparison module, configured to acquire real-time characteristic data corresponding to the characteristic parameters in the real-time operation monitoring data of the induced draft fan, and perform a comparative analysis on the real-time characteristic data and the standard characteristic data; an evaluation module, configured to analyze and evaluate the working state of the induced draft fan according to the comparative analysis result to obtain a state evaluation value of the induced draft fan; a judgment module, configured to determine the state level of the induced draft fan according to the state evaluation value, and judge whether to generate a working state warning message of the induced draft fan according to the state level.
[0033] In summary, an embodiment of the present invention provides an intelligent induced draft fan working state monitoring method and system, which includes: acquiring historical operation monitoring data of the induced draft fan, and analyzing it to determine characteristic parameters closely related to the working state of the induced draft fan; determining characteristic data corresponding to the characteristic parameters from the historical operation monitoring data, and analyzing and processing it to obtain standard characteristic data; acquiring real-time characteristic data corresponding to the characteristic parameters in the real-time operation monitoring data of the induced draft fan, and performing a comparative analysis on the real-time characteristic data and the standard characteristic data; analyzing and evaluating the working state of the induced draft fan according to the comparative analysis result to obtain a state evaluation value; determining the state level of the induced draft fan according to the state evaluation value, and judging whether to generate a working state warning message according to it. The present invention can timely detect abnormal situations in equipment operation, generate warning messages, improve the accuracy and real-time performance of equipment monitoring, reduce maintenance costs, and also improve the reliability and operation efficiency of equipment.
[0034] Finally, it should be noted that: Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalent technologies, the present invention is also intended to include these changes and modifications.
[0035] The above is only one embodiment of the present invention, but it cannot be used to limit the scope of the present invention. Any structural changes made based on the present invention, as long as they do not deviate from the essence of the present invention, should be regarded as falling within the protection scope of the present invention and being restricted. Those skilled in the art of the relevant technical field can clearly understand that for the convenience and brevity of description, the specific working process and related descriptions of the above-described platform can refer to the corresponding process in the foregoing platform embodiment, and will not be repeated here.
[0036] The term "comprising" or any other similar term is intended to cover non-exclusive inclusion, such that a process, platform, article, or apparatus / platform that comprises a series of elements includes not only those elements but also other elements not expressly listed, or elements inherent to those processes, platforms, articles, or apparatus / platforms.
[0037] Thus far, the technical solutions of the present invention have been described in connection with further embodiments shown in the accompanying drawings. However, those skilled in the art can easily understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to closely related technical features, and the technical solutions after these changes or substitutions will all fall within the protection scope of the present invention.
[0038] The above is only a preferred embodiment of the present invention and is not intended to limit the protection scope of the present invention.
Claims
1. An intelligent method for monitoring the working status of an induced draft fan, characterized in that: include: Obtain the historical operation monitoring data of the induced draft fan, analyze the historical operation monitoring data, and determine the characteristic parameters closely related to the working status of the induced draft fan; Determine characteristic data corresponding to characteristic parameters from historical operation monitoring data, and analyze and process the characteristic data to obtain standard characteristic data; Obtain the real-time characteristic data corresponding to the characteristic parameters in the real-time operation monitoring data of the induced draft fan, and compare and analyze the real-time characteristic data with the standard characteristic data; Analyze and evaluate the working status of the induced draft fan according to the comparative analysis results to obtain the status evaluation value of the induced draft fan; The state level of the induced draft fan is determined according to the state evaluation value, and whether to generate working state warning information of the induced draft fan is determined according to the state level.
2. An intelligent induced draft fan working status monitoring method according to claim 1, characterized in that: The obtaining of historical operation monitoring data of the induced draft fan and analyzing the historical operation monitoring data to determine characteristic parameters closely related to the working state of the induced draft fan include: Acquire historical operation monitoring data of the induced draft fan, and select a number of candidate characteristic parameters related to the working state of the induced draft fan from the historical operation monitoring data; The correlation between each candidate characteristic parameter and the working state of the induced draft fan is analyzed, and the candidate characteristic parameters whose correlation exceeds a preset threshold are selected and determined as characteristic parameters closely related to the working state of the induced draft fan.
3. An intelligent induced draft fan working status monitoring method according to claim 2, characterized in that: The determining of characteristic data corresponding to the characteristic parameters from the historical operation monitoring data, and analyzing and processing the characteristic data to obtain standard characteristic data includes: Determine characteristic data corresponding to characteristic parameters from historical operation monitoring data, and calculate the overall average value of the characteristic data; Obtain the change period of the characteristic data, and calculate the variance value of the characteristic data in each change period; Select the change period with a variance value less than a preset value, and calculate the period average value of the characteristic data in the change period; The characteristic data corresponding to the change period whose period average value is closest to the overall average value is selected and determined as the standard characteristic data.
4. An intelligent induced draft fan working status monitoring method according to claim 3, characterized in that: The step of obtaining the real-time characteristic data corresponding to the characteristic parameters in the real-time operation monitoring data of the induced draft fan, and comparing and analyzing the real-time characteristic data with the standard characteristic data, includes: Acquire real-time characteristic data corresponding to the characteristic parameters in the real-time operation monitoring data of the induced draft fan, and determine the change cycle of the real-time characteristic data; Calculate the difference between the real-time characteristic data corresponding to each change period and the standard characteristic data to obtain the difference data of each change period; The characteristic variation coefficient of the characteristic parameter is determined based on the difference data of each variation period.
5. An intelligent induced draft fan working status monitoring method according to claim 4, characterized in that: The determining of the characteristic variation coefficient of the characteristic parameter based on the difference data of each variation period includes: Calculate the average value of the difference data of each change period, and plot the difference data of each change period into a difference data curve; Determine the maximum and minimum values in the difference data curve, and calculate the difference between the maximum and minimum values in the data difference curve to obtain the maximum difference of the difference data in each change period; The characteristic variation coefficient of the characteristic parameter is calculated based on the average value and the maximum value difference of the difference data of each variation period. The calculation formula of the characteristic variation coefficient of the characteristic parameter is: , Wherein, L is the characteristic variation coefficient of the characteristic parameter, Di is the maximum difference of the difference data of the i-th variation period, and Si is the average value of the difference data of the i-th variation period.
6. An intelligent induced draft fan working status monitoring method according to claim 4, characterized in that: The analyzing and evaluating the working state of the induced draft fan according to the comparative analysis results to obtain the state evaluation value of the induced draft fan includes: Obtaining a characteristic variation coefficient of each characteristic parameter, and evaluating and valuing the characteristic variation coefficient of each characteristic parameter to obtain a difference evaluation value of each characteristic parameter; The difference evaluation value of each characteristic parameter is weightedly added to the preset weight to obtain the state evaluation value of the induced draft fan.
7. An intelligent induced draft fan working status monitoring method according to claim 6, characterized in that: Determining the state level of the induced draft fan according to the state evaluation value, and judging whether to generate working state warning information of the induced draft fan according to the state level, includes: A state level-state evaluation value interval correspondence relationship is preset, and the state level-state evaluation value interval correspondence relationship is associated with a corresponding state level for each state evaluation value interval; Acquire a state assessment value of the induced draft fan, and based on a mapping relationship between a state assessment value interval to which the state assessment value belongs and a state assessment value interval corresponding relationship, select a state level corresponding to the state assessment value interval; Obtain the status level of the induced draft fan, determine the relationship between the status level and the preset status level, and if the status level does not exceed the preset status level, determine that there is no need to generate the working status warning information of the induced draft fan; if the status level exceeds the preset status level, determine that it is necessary to generate the working status warning information of the induced draft fan.
8. An intelligent induced draft fan working status monitoring system, characterized in that: include: An acquisition module is used to acquire historical operation monitoring data of the induced draft fan, analyze the historical operation monitoring data, and determine characteristic parameters closely related to the working state of the induced draft fan; A determination module is used to determine characteristic data corresponding to characteristic parameters from historical operation monitoring data, and analyze and process the characteristic data to obtain standard characteristic data; A comparison module is used to obtain real-time characteristic data corresponding to characteristic parameters in the real-time operation monitoring data of the induced draft fan, and to compare and analyze the real-time characteristic data with the standard characteristic data; An evaluation module is used to analyze and evaluate the working state of the induced draft fan according to the comparative analysis results to obtain a state evaluation value of the induced draft fan; The judgment module is used to determine the state level of the induced draft fan according to the state evaluation value, and to judge whether to generate the working state warning information of the induced draft fan according to the state level.