A high-low concentration dual-circuit multi-point switching monitoring method based on data analysis

Abstract

The present invention discloses a high-low concentration dual-loop multi-point switching monitoring method based on data analysis, which specifically relates to the field of data analysis, including S1: multi-point division, S2: loop data acquisition, S3: loop data preprocessing, S4: loop data analysis, S5: data comprehensive analysis, S6: comprehensive concentration quality index judgment, S7: human-computer interaction. The present invention can realize refined concentration monitoring by dividing the monitoring area into multiple points, avoids mutual influence between high and low concentration samples through dual-loop design, improves monitoring accuracy, and also improves monitoring reliability and stability, and reduces monitoring interruption caused by single loop failure; different concentration rationality calculations are performed on monitoring sub-areas with different concentrations, and a summary of the area to be monitored is obtained. The management personnel further judge the monitoring area according to the summary content, which reflects the rationality of monitoring and further improves resource utilization.

Description

Technical Field

[0001] The present invention relates to the technical field of data analysis, and more specifically to a high-low concentration dual-circuit multi-point switching monitoring method based on data analysis. Background Art

[0002] In the field of environmental protection, the impact of pollutants such as air and water on the environment is becoming increasingly serious; in the field of industrial control, it is crucial to control the concentration of raw materials or products. Therefore, it is necessary to accurately monitor the concentration and its level in various fields, so as to achieve accurate control of the concentration and further improve resource utilization.

[0003] The traditional concentration monitoring method mainly includes data acquisition step, data processing step and data judgment step. The data acquisition step adopts high-precision sensors to accurately measure the concentration of gas or liquid; the data processing step receives the signal of the data acquisition step in real time, and processes and analyzes it. The processing process includes signal amplification, filtering, linearization correction and other steps to ensure the accuracy and reliability of the data; the data judgment step judges whether the concentration is high or low at this time based on the processed data, and conducts human-computer interaction on the judgment result.

[0004] However, there are still some shortcomings in its actual use. First, during data analysis, if the concentration of the monitored area does not match the range of the monitoring method, such as using a low-concentration analysis method to monitor a high-concentration area, it is impossible to make corresponding solutions. It is necessary to automatically switch to the corresponding monitoring circuit according to different concentration ranges to ensure accurate monitoring methods under high and low concentration conditions; secondly, during data collection, concentration monitoring is often in a complex and changeable environment, in which environmental parameters such as temperature, flow, and pressure change unpredictably. Traditional monitoring methods are difficult to accurately obtain parameter changes in real time. It is necessary to monitor concentration changes in more dimensions and conduct multi-point monitoring of the monitoring area to improve the accuracy and rationality of monitoring. Summary of the invention

[0005] In order to overcome the above-mentioned defects of the prior art, an embodiment of the present invention provides a high-low concentration dual-circuit multi-point switching monitoring method based on data analysis, and solves the problems raised in the above-mentioned background technology through the following scheme.

[0006] To achieve the above object, the present invention provides the following technical solutions:

[0007] S1: Perform multi-point division: set the area to be monitored for high and low concentrations as the area to be monitored, set multiple points in the area to be monitored for monitoring, set the multiple points set in the area to be monitored as monitoring sub-areas, and divide the monitoring sub-areas into sub-time areas according to the equal time division method, and the sub-time areas are numbered 1, 2, ..., k in sequence;

[0008] S2: Loop data collection: collect data for each sub-time zone respectively to obtain loop data for each sub-time zone, wherein the loop data includes concentration data, flow data and temperature data, and transmit the data to the system operation database;

[0009] S3: Loop data preprocessing: preprocess the loop data collected by S2, and transmit the preprocessed concentration data, flow data and temperature data to the system operation database;

[0010] S4: Loop data analysis: Analyze the loop data preprocessed in S3, calculate the substance concentration accuracy coefficient, flow reliability coefficient and temperature stability coefficient respectively, and transmit the analysis results to the system operation database;

[0011] S5: Comprehensive data analysis: Perform comprehensive analysis based on the substance concentration accuracy coefficient, flow reliability coefficient and temperature stability coefficient, and transmit the analysis results to the system operation database;

[0012] S6: Comprehensive concentration quality index judgment: judge the concentration level of the comprehensive concentration quality index, and transmit it to the system operation database after confirming the concentration level;

[0013] S7: Human-computer interaction: Based on the concentration level, the concentration rationality is sent to the administrator user terminal in a preset summary method.

[0014] Preferably, the monitoring sub-area is composed of monitoring equipment, including a sampling device, a system operation database, a preset analysis database, a system central processing module and a user information terminal. The sampling device includes a sensor and a high and low concentration dual circuit. The system operation database includes all data texts for high and low concentration dual circuit switching monitoring, and collects information texts output from each step in real time. The preset analysis database stores preset data, including a comprehensive concentration quality index threshold, a preset concentration rationality and a concentration rationality adjustment parameter. The system central processing module is used to control the information text instructions output by each step. The user information terminal is an information output device for receiving high and low concentration dual circuit switching monitoring, and is bound to a mobile phone or any outputtable electronic device based on the administrator's work information. The equal time division of each sub-time area selects an appropriate division time accuracy according to actual needs, including every hour, every minute, every half minute, every second and every half second.

[0015] Preferably, S2 includes a concentration data acquisition unit, a flow data acquisition unit, a temperature data acquisition unit and a loop data transmission unit. The concentration data acquisition unit is used to sample the concentration data of each sub-time zone, including the number of particles, molar mass and molar volume, which are respectively denoted as N, M and Vm; the flow data acquisition unit is used to sample the flow data of gas or liquid in each sub-time zone, including the flow velocity, pressure loss and density, which are respectively denoted as Lv, Lp and Lm; the temperature data acquisition unit is used to sample the temperature data of each sub-time zone, including the temperature deviation value and the temperature fluctuation value, which are respectively denoted as Wa and Wb; the loop data transmission unit transmits the collected data to the system operation database.

[0016] Preferably, the S3 includes a loop data receiving unit, a concentration data preprocessing unit, a flow data preprocessing unit, a temperature data preprocessing unit and a loop data transmission unit. The loop data receiving unit is used to receive loop data transmitted by the system operation database; the concentration data preprocessing unit classifies and summarizes the collected concentration data to calculate the amount of the substance, and the specific calculation formula is: n j =N j / NA, where n represents the amount of material in the jth sub-time zone, Nj represents the number of particles in the jth sub-time zone, and NA represents the Avogadro constant; the flow data preprocessing unit classifies and summarizes the collected flow data to calculate the average flow velocity, average pressure loss and average density, and the specific calculation formula is: as well as Among them, Lv j represents the flow velocity of gas or liquid in the jth sub-time zone, Lp j Indicates the pressure loss in the jth sub-time zone, Lm j represents the density of gas or liquid in the jth sub-time region, represents the average flow velocity, represents the average pressure loss, represents the average density, and k represents the total number of sub-time zones. The temperature data preprocessing unit classifies and summarizes the collected temperature data to calculate the average temperature deviation value and the average temperature fluctuation value. The specific calculation formula is: Among them Wa j represents the temperature deviation value of the jth sub-time zone, Wb j represents the temperature fluctuation value of the jth sub-time zone, Indicates the average temperature deviation value, Indicates the average temperature fluctuation value; the loop data transmission unit transmits the pre-processed loop data to the system operation database.

[0017] Preferably, S4 includes a preprocessing data receiving unit, a substance concentration accuracy coefficient calculation unit, a flow reliability coefficient calculation unit, a temperature stability coefficient calculation unit and a data transmission unit, wherein the preprocessing data receiving unit is used to receive the preprocessed loop data; the substance concentration accuracy coefficient calculation unit calculates the substance concentration accuracy coefficient based on the substance amount, molar mass and molar volume, and its specific analysis formula is:

[0018]

[0019] where n j represents the amount of substance in the jth sub-time zone, M represents the sample molar mass of the monitoring sub-zone, Vm represents the sample molar volume of the monitoring sub-zone, and Y represents the accuracy coefficient of the amount concentration of substance in the sub-time zone; the flow reliability coefficient calculation unit calculates the flow reliability coefficient based on the average flow velocity, the average pressure loss and the average density, and its specific analysis formula is:

[0020]

[0021] Where Lvj represents the flow velocity of the sample in the jth sub-time zone, Lpj represents the pressure loss of the sample in the jth sub-time zone, Lmj represents the density of the sample in the jth sub-time zone, and Z represents the flow reliability coefficient of the sub-time zone; the temperature stability coefficient calculation unit calculates the temperature stability coefficient based on the average temperature deviation value and the average temperature fluctuation value, and its specific analysis formula is:

[0022]

[0023] Among them Wa j represents the temperature deviation value of the sample in the jth sub-time zone, Wb j represents the temperature fluctuation value of the sample in the jth sub-time zone, u1 represents the factor affecting the temperature stability, and P represents the temperature stability coefficient of the sub-time zone; the data transmission unit transmits the analyzed data to the system operation database.

[0024] Preferably, the S5 data analysis process is as follows:

[0025] A1: Based on the substance concentration accuracy coefficient, flow reliability coefficient and temperature stability coefficient, obtain the sample concentration analysis data set;

[0026] A2: According to the sample concentration analysis data set, a corresponding data analysis model is established to construct a comprehensive concentration analysis model;

[0027] A3: The substance concentration analysis dataset includes the amount-of-substance concentration accuracy analysis dataset, the flow reliability analysis dataset, and the temperature stability analysis dataset. Different data analysis models are constructed according to different sample concentration analysis datasets, and then a comprehensive concentration analysis model is constructed based on different data analysis models to obtain a comprehensive concentration quality index. The specific analysis formula is as follows:

[0028]

[0029] λ1, λ2, and λ3 are the proportionality coefficients corresponding to different indicators, λ1>0, λ2>0, λ3>0, and T represents the comprehensive concentration quality index of a certain point monitoring sub-region.

[0030] Preferably, the concentration levels include high concentration and low concentration. A comprehensive concentration quality index threshold is set according to the comprehensive concentration quality index, and the comprehensive concentration quality index threshold is set as T D When T D >T, it indicates that the comprehensive concentration quality index is less than the comprehensive concentration quality index threshold. At this time, the monitoring sub-region will automatically switch to the low-concentration monitoring loop. When T D <T, it indicates that the comprehensive concentration quality index is greater than the comprehensive concentration quality index threshold. At this time, the monitoring sub-region will automatically switch to the high-concentration monitoring loop, and the concentration level of the monitoring sub-region will be transmitted to the system operation database.

[0031] Preferably, the S7 calculates the concentration rationality based on the comprehensive concentration quality index. The specific analysis formula is as follows:

[0032] Τ x =Τ×(1 + Φ),

[0033] where Φ is the concentration rationality adjustment parameter corresponding to different concentrations. When the monitoring sub-region is in the low-concentration monitoring loop, φ takes the value of φ s When the monitoring sub-region is in the high-concentration monitoring loop, φ takes the value of φ g φ g >φ s If the concentration rationality is less than the preset concentration rationality, it indicates that the concentration monitoring loop is reasonable at this time, and the user terminal will summarize the concentration of the monitoring sub-region. If the concentration rationality is greater than the preset concentration rationality, it indicates that the concentration monitoring loop is unreasonable at this time, and an alarm will be issued. The management personnel can observe through the user terminal whether manual modification of the monitoring loop is required.

[0034] The technical effects and advantages of the present invention:

[0035] 1. The present invention can realize refined monitoring of concentration by dividing the area that needs to be monitored for high and low concentrations into multiple points, determining the area to be monitored, the monitoring sub-area and each sub-time area. Each sub-time area is carried out independently, so that the monitoring can more accurately capture the subtle changes in concentration, reduce manual intervention, reduce the difficulty and cost of operation, and provide more accurate data support for subsequent data analysis and early warning; through the loop data collection step, concentration data, flow data and temperature data are collected in real time, and these data are important bases for judging the concentration level; through the loop data preprocessing step, the collected loop data is further processed, making subsequent analysis more convenient and improving resource utilization;

[0036] 2. Analyze and comprehensively analyze the pre-processed data, establish a sample concentration analysis data set, and further establish a data analysis model to construct a comprehensive concentration analysis model. The comprehensive concentration quality index calculated by the comprehensive concentration analysis model can intuitively reflect the concentration change in the monitoring sub-area, providing a basis for the comprehensive concentration quality index judgment step; the comprehensive concentration quality index judgment step automatically switches the monitoring sub-area between high and low concentrations based on the comprehensive concentration quality index and the comprehensive concentration quality index threshold transmitted by the preset analysis library. The dual-loop design avoids the mutual influence between high and low concentration samples and improves the accuracy of monitoring. At the same time, the dual-loop design also improves the reliability and stability of the system and reduces monitoring interruptions caused by single-loop failures; through the human-computer interaction step, different concentration rationality calculations are performed on monitoring sub-areas with different concentrations, and managers are alerted according to different calculation results, and a summary of the area to be monitored is obtained. The management personnel further judge the monitoring area based on the summary content, which reflects the rationality of monitoring and further improves resource utilization. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] Figure 1 It is a schematic diagram of the operation flow of the present invention.

[0038] Figure 2 It is a schematic diagram of the comprehensive analysis process of the present invention.

[0039] Figure 3 The figure is a schematic diagram of the structure of an electronic device of the present invention. DETAILED DESCRIPTION

[0040] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0041] As attached Figure 1 A high- and low-concentration dual-circuit multi-point switching monitoring method based on data analysis is shown, comprising the following steps: S1 to S7.

[0042] S1: Perform multi-point division: set the area that needs to be monitored for high and low concentrations as the monitored area, set multiple points in the monitored area for monitoring, set the multiple points set in the monitored area as monitoring sub-areas, and divide the monitoring sub-areas into sub-time areas according to the equal time division method, and each sub-time area is numbered 1, 2, ..., k in sequence.

[0043] In this embodiment, it should be specifically explained that the monitoring sub-area is composed of monitoring equipment, including a sampling device, a system operation database, a system central processing module and a user information terminal. The sampling device includes a sensor and a high and low concentration dual circuit. The system operation database includes all data texts for high and low concentration dual circuit switching monitoring, and collects the information text output of each step in real time. The system central processing module is used to control the information text instructions output by each step. The user information terminal is an information output device for receiving high and low concentration dual circuit switching monitoring, and is bound to a mobile phone or any output electronic device based on the administrator's work information; the equal time division of each sub-time area selects the appropriate division time accuracy according to actual needs, including every hour, every minute, every half minute, every second and every half second.

[0044] S2: Loop data collection: Data is collected for each sub-time zone to obtain loop data for each sub-time zone. The loop data includes concentration data, flow data and temperature data, and the data is transmitted to the system operation database.

[0045] In this embodiment, it should be specifically explained that S2 includes a concentration data acquisition unit, a flow data acquisition unit, a temperature data acquisition unit and a loop data transmission unit. The concentration data acquisition unit is used to sample the concentration data of each sub-time zone, including the number of particles, molar mass and molar volume, which are respectively recorded as N, M and Vm; the flow data acquisition unit is used to sample the flow data of gas or liquid in each sub-time zone, including the flow velocity, pressure loss and density, which are respectively recorded as Lv, Lp and Lm; the temperature data acquisition unit is used to sample the temperature data of each sub-time zone, including the temperature deviation value and the temperature fluctuation value, which are respectively recorded as Wa and Wb; the loop data transmission unit transmits the collected data to the system operation database.

[0046] Furthermore, the particle number of the concentration data acquisition unit is obtained by installing an optical microscope in the monitoring sub-area, and the molar mass and molar volume are obtained by querying the chemical database according to the properties of the sample; the flow velocity and density of the flow data acquisition unit are collected by a flow meter, and the pressure loss is obtained by calculating the pressure difference by installing a pressure sensor in the monitoring sub-area; the temperature deviation value and temperature fluctuation value of the temperature data acquisition unit are collected by installing a high-precision temperature sensor in the monitoring sub-area.

[0047] S3: Loop data preprocessing: Preprocess the loop data collected by S2, and transmit the preprocessed concentration data, flow data and temperature data to the system operation database.

[0048] In this embodiment, it should be specifically explained that S3 includes a loop data receiving unit, a concentration data preprocessing unit, a flow data preprocessing unit, a temperature data preprocessing unit and a loop data transmission unit. The loop data receiving unit is used to receive loop data transmitted by the system operation database; the concentration data preprocessing unit classifies and summarizes the collected concentration data to calculate the amount of the substance, and its specific calculation formula is: n j =N j / NA, where n represents the amount of material in the jth sub-time zone, Nj represents the number of particles in the jth sub-time zone, and NA represents the Avogadro constant; the flow data preprocessing unit classifies and summarizes the collected flow data to calculate the average flow velocity, average pressure loss and average density, and the specific calculation formula is: as well as Among them, Lv j represents the flow velocity of gas or liquid in the jth sub-time zone, Lp j Indicates the pressure loss in the jth sub-time zone, Lm j represents the density of gas or liquid in the jth sub-time region, represents the average flow velocity, represents the average pressure loss, represents the average density, and k represents the total number of sub-time zones. The temperature data preprocessing unit classifies and summarizes the collected temperature data to calculate the average temperature deviation value and the average temperature fluctuation value. The specific calculation formula is: Among them Wa j represents the temperature deviation value of the jth sub-time zone, Wb j represents the temperature fluctuation value of the jth sub-time zone, Indicates the average temperature deviation value, Indicates the average temperature fluctuation value; the loop data transmission unit transmits the pre-processed loop data to the system operation database.

[0049] S4: Loop data analysis: Analyze the loop data preprocessed in S3, calculate the substance concentration accuracy coefficient, flow reliability coefficient and temperature stability coefficient respectively, and transmit the analysis results to the system operation database.

[0050] In this embodiment, it should be specifically explained that S4 includes a preprocessing data receiving unit, a substance concentration accuracy coefficient calculation unit, a flow reliability coefficient calculation unit, a temperature stability coefficient calculation unit and a data transmission unit, wherein the preprocessing data receiving unit is used to receive the preprocessed loop data; the substance concentration accuracy coefficient calculation unit calculates the substance concentration accuracy coefficient based on the substance amount, molar mass and molar volume, and its specific analysis formula is:

[0051]

[0052] Where n j represents the amount of substance in the jth sub-time zone, M represents the molar mass of the sample in the monitoring sub-region, Vm represents the molar volume of the sample in the monitoring sub-region, and Y represents the accuracy coefficient of the amount concentration of the substance in the sub-time zone; the flow reliability coefficient calculation unit calculates the flow reliability coefficient based on the average flow velocity, the average pressure loss and the average density, and its specific analysis formula is:

[0053]

[0054] Among them, Lv j represents the flow velocity of the sample in the jth sub-time zone, Lp j Indicates the pressure loss of the sample in the jth sub-time zone, Lm j represents the density of samples in the jth sub-time zone, and Z represents the flow reliability coefficient of the sub-time zone; the temperature stability coefficient calculation unit calculates the temperature stability coefficient based on the average temperature deviation value and the average temperature fluctuation value, and its specific analysis formula is:

[0055]

[0056] Among them Wa j represents the temperature deviation value of the sample in the jth sub-time zone, Wb j It represents the temperature fluctuation value of the sample in the jth sub-time zone, u1 represents the factor affecting the temperature stability, such as the temperature deviation and temperature fluctuation caused by different sample properties, and P represents the temperature stability coefficient of the sub-time zone; the data transmission unit transmits the analyzed data to the system operation database.

[0057] S5: Comprehensive data analysis: Perform comprehensive analysis based on the substance concentration accuracy coefficient, flow reliability coefficient and temperature stability coefficient, and transmit the analysis results to the system operation database.

[0058] In this embodiment, it should be specifically noted that the data analysis process in S5 is as follows:

[0059] A1: Obtain the sample concentration analysis data set based on the amount-of-substance concentration accuracy coefficient, flow reliability coefficient, and temperature stability coefficient;

[0060] A2: Establish a corresponding data analysis model according to the sample concentration analysis data set, so as to construct a comprehensive concentration analysis model;

[0061] A3: The substance concentration analysis data set includes the amount-of-substance concentration accuracy analysis data set, flow reliability analysis data set, and temperature stability analysis data set. According to different sample concentration analysis data sets, different data analysis models are constructed. Then, according to different data analysis models, a comprehensive concentration analysis model is constructed to obtain the comprehensive concentration quality index. The specific analysis formula is as follows:

[0062]

[0063] λ1, λ2, and λ3 are proportionality coefficients corresponding to different indicators, λ1>0, λ2>0, λ3>0, and T represents the comprehensive concentration quality index of a certain point monitoring sub-region.

[0064] S6: Comprehensive concentration quality index judgment: Judge the concentration level of the comprehensive concentration quality index, and after confirming the concentration level, transmit it to the system operation database.

[0065] In this embodiment, it should be specifically noted that the concentration levels include high concentration and low concentration. Set the comprehensive concentration quality index threshold according to the comprehensive concentration quality index, and set the comprehensive concentration quality index threshold as T D , when T D >T, it indicates that the comprehensive concentration quality index is less than the comprehensive concentration quality index threshold. At this time, the monitoring sub-region will automatically switch to the low-concentration monitoring loop. When T D <T, it indicates that the comprehensive concentration quality index is greater than the comprehensive concentration quality index threshold. At this time, the monitoring sub-region will automatically switch to the high-concentration monitoring loop, and transmit the concentration level of the monitoring sub-region to the system operation database.

[0066] S7: Human-computer interaction: Based on the concentration level, send the concentration rationality to the management user terminal according to the preset summary method.

[0067] In this embodiment, it should be specifically noted that S7 calculates the concentration rationality based on the comprehensive concentration quality index. The specific analysis formula is as follows:

[0068] Τ x =Τ×(1 + Φ),

[0069] Where Φ is the concentration rationality adjustment parameter corresponding to different concentrations. When the monitoring sub-area is in the low concentration monitoring loop, φ is taken as φ s When the monitoring sub-area is in the high concentration monitoring loop, φ is taken as φ g ,φ g >φ s If the concentration rationality is less than the preset concentration rationality, it means that the concentration monitoring loop is reasonable at this time, and the user terminal will summarize the concentration of the monitoring sub-area. If the concentration rationality is greater than the preset concentration rationality, it means that the concentration monitoring loop is unreasonable at this time, and an alarm will be issued. The management personnel will observe whether it is necessary to manually modify the monitoring loop through the user terminal. When the concentration monitoring of the monitoring sub-area is completed, the user terminal will count the concentration changes in the area to be monitored and present it to the management personnel in a preset summary method; the preset summary method includes any one of a report summary, a picture summary, and a chart summary. When determining the preset summary method, it is necessary to select the actual appropriateness according to the concentration change and the preset summary method. The management personnel determine whether the area to be monitored has high and low concentration hazards through the summary content. The summary content includes the concentration rationality of the monitoring sub-area and the concentration change of the area to be monitored.

[0070] The present invention can realize refined monitoring of concentration by dividing the area that needs to be monitored for high and low concentrations into multiple points, determining the area to be monitored, the monitoring sub-area and each sub-time area. Each sub-time area is carried out independently, so that the concentration monitoring can more accurately capture the subtle changes in concentration, and provide more accurate data support for subsequent data analysis and early warning; the concentration data, flow data and temperature data are collected in real time through the loop data collection step, and these data are important bases for judging the concentration level; the collected loop data are further processed through the loop data preprocessing step, so that the subsequent analysis is more convenient and the resource utilization rate is improved; the sample concentration analysis data set is established by analyzing and comprehensively analyzing the preprocessed data, and a data analysis model is further established, so as to construct a comprehensive concentration analysis model, and the comprehensive concentration quality index is calculated by the comprehensive concentration analysis model, which can directly It objectively reflects the change of concentration in the monitoring sub-area, and provides a basis for the comprehensive concentration quality index judgment step; the comprehensive concentration quality index judgment step automatically switches the monitoring sub-area between high and low concentrations based on the comprehensive concentration quality index and the comprehensive concentration quality index threshold transmitted by the preset analysis library, ensuring that accurate monitoring data can be obtained within different concentration ranges. The dual-loop design avoids the mutual influence between high and low concentration samples and improves the accuracy of monitoring. At the same time, the dual-loop design also improves the reliability and stability of the system and reduces monitoring interruptions caused by single-loop failures; through the human-computer interaction step, different concentration rationality calculations are performed on monitoring sub-areas with different concentrations, and managers are alerted according to different calculation results, and a summary of the area to be monitored is obtained. Managers further judge the monitoring area based on the summary content, which reflects the rationality of monitoring and further improves resource utilization.

[0071] Secondly: In the drawings of the embodiments disclosed in the present invention, only the structures related to the embodiments disclosed in the present invention are involved, and other structures can refer to the general design. In the absence of conflict, the same embodiment and different embodiments of the present invention can be combined with each other;

[0072] Finally: The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A high-low concentration dual-circuit multi-point switching monitoring method based on data analysis, characterized in that: include: S1: Perform multi-point division: set the area to be monitored for high and low concentrations as the area to be monitored, set multiple points in the area to be monitored for monitoring, set the multiple points set in the area to be monitored as monitoring sub-areas, and divide the monitoring sub-areas into sub-time areas according to the equal time division method, and the sub-time areas are numbered 1, 2, ..., k in sequence; S2: Loop data collection: data is collected for each sub-time zone respectively to obtain loop data for each sub-time zone, wherein the loop data includes concentration data, flow data and temperature data, wherein the concentration data is the concentration data of the pollutants, and the data is transmitted to the system operation database; S3: Loop data preprocessing: preprocess the loop data collected by S2, and transmit the preprocessed concentration data, flow data and temperature data to the system operation database; S4: Loop data analysis: Analyze the loop data preprocessed in S3, calculate the substance concentration accuracy coefficient, flow reliability coefficient and temperature stability coefficient respectively, and transmit the analysis results to the system operation database; S5: Comprehensive data analysis: Perform comprehensive analysis based on the substance concentration accuracy coefficient, flow reliability coefficient and temperature stability coefficient, and transmit the analysis results to the system operation database; The comprehensive analysis process of the data in S5 is as follows: A1: Based on the substance concentration accuracy coefficient, flow reliability coefficient and temperature stability coefficient, obtain the sample concentration analysis data set; A2: According to the sample concentration analysis data set, a corresponding data analysis model is established to construct a comprehensive concentration analysis model; A3: The sample concentration analysis data set includes the substance concentration accuracy analysis data set, the flow reliability analysis data set and the temperature stability analysis data set. Different data analysis models are constructed according to different sample concentration analysis data sets, and then a comprehensive concentration analysis model is constructed according to different data analysis models to obtain the comprehensive concentration quality index. The specific analysis formula is: λ1, λ2 and λ3 are proportional coefficients corresponding to different indicators, λ1>0, λ2>0, λ3>0, T represents the comprehensive concentration quality index of a monitoring sub-area at a certain point, Y represents the accuracy coefficient of the amount concentration of the substance in the sub-time area, Z represents the flow reliability coefficient of the sub-time area, and P represents the temperature stability coefficient of the sub-time area; S6: Comprehensive concentration quality index judgment: judge the concentration level of the comprehensive concentration quality index, and transmit it to the system operation database after confirming the concentration level; The concentration levels include high concentration and low concentration. The comprehensive concentration quality index threshold is set according to the comprehensive concentration quality index, and the comprehensive concentration quality index threshold is set as T D , when T D >T, it indicates that the comprehensive concentration quality index is less than the comprehensive concentration quality index threshold. At this time, the monitoring sub-region will automatically switch to the low-concentration monitoring loop. When T D <T, it indicates that the comprehensive concentration quality index is greater than the comprehensive concentration quality index threshold. At this time, the monitoring sub-region will automatically switch to the high-concentration monitoring loop, and the concentration level of the monitoring sub-region will be transmitted to the system operation database; S7: Human-computer interaction: Based on the concentration level, the concentration rationality is sent to the administrator user terminal in a preset summary method.

2. According to claim 1, a high-low concentration dual-circuit multi-point switching monitoring method based on data analysis is characterized in that: The monitoring sub-area is composed of monitoring equipment, including a sampling device, a system operation database, a preset analysis database, a system central processing module and a user information terminal. The sampling device includes a sensor and a high-low concentration dual circuit. The system operation database includes all data texts for high- and low-concentration dual circuit switching monitoring, and collects information texts output in each step in real time. The preset analysis database stores preset data, including a comprehensive concentration quality index threshold, a preset concentration rationality, a concentration rationality adjustment parameter and a preset summary method. The system central processing module is used to control the information text instructions output by each step. The user information terminal is an information output device for receiving high- and low-concentration dual circuit switching monitoring, and is bound to a mobile phone or any outputtable electronic device based on the administrator's work information. The equal time division of each sub-time area selects an appropriate division time accuracy according to actual needs, including every hour, every minute, every half minute, every second and every half second.

3. The high-low concentration dual-circuit multi-point switching monitoring method based on data analysis according to claim 1 is characterized in that: The S2 includes a concentration data acquisition unit, a flow data acquisition unit, a temperature data acquisition unit and a loop data transmission unit. The concentration data acquisition unit is used to sample the concentration data of each sub-time zone, including the number of particles, molar mass and molar volume, which are respectively recorded as N, M and Vm; the flow data acquisition unit is used to sample the flow data of gas or liquid in each sub-time zone, including the flow velocity, pressure loss and density, which are respectively recorded as Lv, Lp and Lm; the temperature data acquisition unit is used to sample the temperature data of each sub-time zone, including the temperature deviation value and the temperature fluctuation value, which are respectively recorded as Wa and Wb; the loop data transmission unit transmits the collected data to the system operation database.

4. The high-low concentration dual-circuit multi-point switching monitoring method based on data analysis according to claim 1 is characterized in that: The S3 includes a loop data receiving unit, a concentration data preprocessing unit, a flow data preprocessing unit, a temperature data preprocessing unit and a loop data transmission unit. The loop data receiving unit is used to receive loop data transmitted by the system operation database; the concentration data preprocessing unit classifies and summarizes the collected concentration data to calculate the amount of the substance, and the specific calculation formula is: j =N j / NA, where n j represents the amount of substance in the jth sub-time region, N j represents the number of particles in the jth sub-time zone, and NA represents the Avogadro constant. The flow data preprocessing unit classifies and summarizes the collected flow data to calculate the average flow velocity, average pressure loss and average density. The specific calculation formula is: as well as Among them, Lv j represents the flow velocity of gas or liquid in the jth sub-time zone, Lp j Indicates the pressure loss in the jth sub-time zone, Lm j represents the density of gas or liquid in the jth sub-time region, represents the average flow velocity, represents the average pressure loss, represents the average density, and k represents the total number of sub-time zones. The temperature data preprocessing unit classifies and summarizes the collected temperature data to calculate the average temperature deviation value and the average temperature fluctuation value. The specific calculation formula is: Among them Wa j represents the temperature deviation value of the jth sub-time zone, Wb j represents the temperature fluctuation value of the jth sub-time zone, Indicates the average temperature deviation value, Indicates the average temperature fluctuation value; the loop data transmission unit transmits the pre-processed loop data to the system operation database.

5. The high-low concentration dual-circuit multi-point switching monitoring method based on data analysis according to claim 1 is characterized in that: The S4 includes a preprocessing data receiving unit, a substance concentration accuracy coefficient calculation unit, a flow reliability coefficient calculation unit, a temperature stability coefficient calculation unit and a data transmission unit, wherein the preprocessing data receiving unit is used to receive the preprocessed loop data; the substance concentration accuracy coefficient calculation unit calculates the substance concentration accuracy coefficient based on the substance amount, molar mass and molar volume, and its specific analysis formula is: where n j represents the amount of substance in the jth sub-time zone, M represents the sample molar mass of the monitoring sub-zone, Vm represents the sample molar volume of the monitoring sub-zone, and Y represents the accuracy coefficient of the amount concentration of substance in the sub-time zone; the flow reliability coefficient calculation unit calculates the flow reliability coefficient based on the average flow velocity, the average pressure loss and the average density, and its specific analysis formula is: Among them, Lv j represents the flow velocity of the sample in the jth sub-time zone, Lp j Indicates the pressure loss of the sample in the jth sub-time zone, Lm j represents the density of samples in the jth sub-time zone, and Z represents the flow reliability coefficient of the sub-time zone; the temperature stability coefficient calculation unit calculates the temperature stability coefficient based on the average temperature deviation value and the average temperature fluctuation value, and its specific analysis formula is: Among them Wa j represents the temperature deviation value of the sample in the jth sub-time zone, Wb j represents the temperature fluctuation value of the sample in the jth sub-time zone, u1 represents the factor affecting the temperature stability, and P represents the temperature stability coefficient of the sub-time zone; The data transmission unit transmits the analyzed data to the system operation database.

6. The high-low concentration dual-circuit multi-point switching monitoring method based on data analysis according to claim 1 is characterized in that: The concentration rationality in S7 is calculated based on the comprehensive concentration quality index, and its specific analysis formula is: T x =T×(1+Φ), Where Φ is the concentration rationality adjustment parameter corresponding to different concentrations. When the monitoring sub-area is in the low concentration monitoring loop, φ is taken as φ s When the monitoring sub-area is in the high concentration monitoring loop, φ is taken as φ g ,φ g >φ s If the concentration rationality is less than the preset concentration rationality, it means that the concentration monitoring loop is reasonable at this time, and the user terminal will summarize the concentration of the monitoring sub-area. If the concentration rationality is greater than the preset concentration rationality, it means that the concentration monitoring loop is unreasonable at this time, and an alarm will be issued. The management personnel will observe through the user terminal whether it is necessary to manually modify the monitoring loop.

7. The high-low concentration dual-circuit multi-point switching monitoring method based on data analysis according to claim 1 is characterized in that: The preset summary method includes any one of a report summary, a picture summary and a chart summary.

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