An aeration system state evaluation method and system based on optical fiber sensing technology

Abstract

The application relates to the technical field of sewage treatment, and particularly discloses an aeration system state evaluation method and system based on optical fiber sensing technology, which acquires aeration state data of an aeration disc in a monitoring period; processes the aeration state data to obtain a state behavior value of the aeration disc, and acquires the state of the aeration disc based on the state behavior value; visually identifies the state of the aeration system corresponding to the entire sewage treatment tank according to the state of the aeration disc, and obtains a pre-warning state level signal of the aeration system; the pre-warning state level signal of the aeration system is compared and analyzed according to the aeration state of each aeration disc in the entire sewage treatment plant, so that the running state of a single aeration disc is recognized to the state of the entire aeration system, that is, the aeration effect of the entire aeration system is mapped according to the states of different aeration discs, a pre-warning signal of different state levels is obtained, and visual management of the aeration system is realized.

Description

Technical Field

[0001] This invention relates to the field of wastewater treatment technology, specifically to a method and system for assessing the status of an aeration system based on fiber optic sensing technology. Background Technology

[0002] Fiber Bragg grating (FBG) sensors are a type of fiber optic sensor. The sensing process based on FBGs acquires sensing information by modulating the Bragg wavelength of the fiber optic cable with external physical parameters; it is a wavelength-modulated fiber optic sensor. FBG sensors can directly measure physical quantities such as temperature and strain. They can be attached to the surface of a structure or pre-embedded within it for structural health monitoring, impact detection, shape control, vibration damping detection, and monitoring of structural defects.

[0003] Currently, aeration equipment is generally installed at the bottom of the aeration tank in sewage treatment plants. Since sewage treatment plants need to operate 24 hours a day, the equipment inspection interval is long. If equipment failure and maintenance are required, divers need to dive into the tank to investigate, which greatly increases the maintenance cost of sewage treatment plants. Based on this, a method and system for evaluating the status of aeration systems based on fiber optic sensing technology is proposed to evaluate and identify the operating status of aeration systems in order to achieve timely monitoring of the operating status of aeration systems. Summary of the Invention

[0004] The purpose of this invention is to provide a method and system for assessing the status of an aeration system based on fiber optic sensing technology. By comparing and analyzing the aeration status of each aeration disc in the entire wastewater treatment plant, the system identifies the status of the entire aeration system from the operating status of a single aeration disc. In other words, the aeration effect of the entire aeration system is mapped according to the status of different aeration discs, resulting in early warning signals of different status levels. The higher the early warning level of the aeration system corresponding to the wastewater treatment pond, the worse the operating status of the aeration system, thus achieving visualized management of the aeration system.

[0005] The objective of this invention can be achieved through the following technical solutions:

[0006] A method for assessing the state of an aeration system based on fiber optic sensing technology includes the following steps:

[0007] A preset monitoring cycle is set, and aeration status data of the aeration discs are obtained within the monitoring cycle.

[0008] The aeration status data is processed to obtain the status behavior value of the aeration disc, and the status of the aeration disc is obtained based on the status behavior value.

[0009] Based on the status of the aeration discs, the status of the corresponding aeration system in the entire wastewater treatment tank is visually identified, and the early warning status level signal of the aeration system is obtained.

[0010] The warning status signals of the aeration system include Level 1 warning signal, Level 2 warning signal, Level 3 warning signal and Level 4 warning signal.

[0011] As a further aspect of the present invention: the aeration status data includes the square deviation ratio of the vibration frequency of the aeration disc, the airflow deviation difference value of the aeration disc, and the bubble ratio analysis value of the aeration disc.

[0012] The square ratio of the vibration frequency of the aeration disc is denoted as Fp;

[0013] The airflow deviation value of the aeration disc is denoted as Qc;

[0014] The bubble density of the aeration disc is recorded as Hg;

[0015] Through formula The state behavior value Bi of the aeration disc is calculated, where a1, a2, and a3 are all preset scaling factors.

[0016] As a further aspect of the present invention: the process for obtaining the square deviation ratio of the vibration frequency of the aeration disc is as follows:

[0017] Obtain the vibration frequency value of the time sub-unit, sum the maximum vibration frequency value and the minimum vibration frequency value and take the average value to obtain the average vibration frequency value of the time sub-unit.

[0018] The average vibration frequencies of all time sub-units are integrated to obtain a set of average vibration frequencies;

[0019] The vibration frequency mean group is processed according to the variance calculation formula to obtain the vibration frequency variance value;

[0020] The difference between the maximum and minimum values ​​in the vibration frequency mean group is calculated to obtain the vibration frequency deviation value. The ratio of the vibration frequency deviation value to the preset vibration frequency value is calculated to obtain the vibration frequency deviation ratio.

[0021] The vibration frequency deviation ratio of the aeration disc is obtained by multiplying the vibration frequency deviation ratio by the vibration frequency variance value.

[0022] As a further aspect of the present invention: the process for obtaining the airflow deviation value of the aeration disc is as follows:

[0023] Obtain the aeration gas flow rate value corresponding to the aeration disc at the midpoint of the time sub-unit, calculate the difference between the aeration gas flow rate value and the preset aeration gas flow rate value, and obtain the airflow deviation value of the aeration disc.

[0024] The airflow deviation values ​​of the aeration discs are integrated to obtain the airflow deviation value group of the aeration discs;

[0025] The average airflow deviation of the aeration disc is obtained by summing the set of airflow deviation values.

[0026] The variance of the airflow deviation value group of the aeration disc is calculated according to the variance calculation formula to obtain the airflow deviation variance value of the aeration disc.

[0027] The airflow deviation value of the aeration disc is calculated by multiplying the mean airflow deviation of the aeration disc by the variance of the airflow deviation.

[0028] As a further aspect of the present invention: within a time sub-unit, acquire the bubble aeration image of the aeration area of ​​the aeration disc at the midpoint of the time sub-unit, and divide the bubble aeration image into several region sub-units.

[0029] Obtain the number of bubbles in each sub-unit, and calculate the ratio of the number of bubbles to the area of ​​the sub-unit to obtain the region bubble ratio;

[0030] Region sub-units whose region bubble ratio is within the preset requirement are denoted as standard region sub-units;

[0031] Region sub-units whose region bubble ratio is outside the preset requirement are categorized as non-standard region sub-units.

[0032] As a further aspect of the present invention: the ratio of the number of standard region sub-units to the number of non-standard region sub-units is calculated to obtain the compliance ratio of the number of regions;

[0033] Obtain the bubble size in the region sub-unit, and obtain the number of bubbles in the region sub-unit that meet the preset bubble size requirements, which is recorded as the number of qualified bubbles;

[0034] The bubble standard ratio of the region sub-unit is obtained by calculating the ratio of the number of qualified bubbles in the region sub-unit to the total number of bubbles in the region sub-unit.

[0035] The bubble standard ratios of all regional sub-units are summed and averaged to obtain the regional size standard ratios.

[0036] The bubble compliance value of the aeration disc is obtained by multiplying the regional quantity compliance ratio with the regional size compliance ratio.

[0037] As a further aspect of the present invention: the maximum state behavior value Bimax and the minimum state behavior value Bimin are obtained by traversing the state behavior values ​​of all aeration discs within the monitoring period;

[0038] Preset the threshold value for the state behavior of the aeration disc;

[0039] If the maximum state behavior value Bimax within the monitoring period is less than or equal to the state behavior threshold bi, a level one early warning signal for the aeration system status is generated.

[0040] If the minimum state behavior value B imin within the monitoring period is greater than the state behavior threshold bi, an optimal state operation signal for the aeration system is generated.

[0041] As a further aspect of the present invention: if the maximum state behavior value Bimax within the monitoring period is greater than the state behavior threshold bi and the minimum state behavior value Biimin within the monitoring period;

[0042] Obtain the actual variance of the aeration disc status within the monitoring period, mark the actual variance of the aeration disc status as Bif, and mark the preset threshold of the actual variance of the aeration disc status as Biy.

[0043] When the actual variance of the aeration disc status B if ≥ the threshold value of the actual variance of the aeration disc status B iy, a secondary early warning signal for the aeration system status is generated.

[0044] When the actual variance of the aeration disc status Bif < the threshold Biy of the actual variance of the aeration disc status, the distribution and quantity of the aeration discs are analyzed.

[0045] As a further aspect of the present invention: an aeration disc whose state behavior value Bi is greater than or equal to the state behavior threshold bi is denoted as an aeration disc and calibrated.

[0046] An aeration disc whose state behavior value Bi is less than the state behavior threshold bi is denoted as a non-fixed aeration disc.

[0047] The state behavior deviation value of the aeration disc and the non-quantitative ratio of the aeration disc were obtained by processing the calibrated aeration disc and the non-quantitative aeration disc;

[0048] The non-fixed disc analytical value of the aeration disc is obtained by multiplying the state behavior deviation value of the aeration disc with the non-quantitative ratio of the aeration disc.

[0049] If the non-fixed disc resolution value of the aeration disc is within the preset non-fixed disc resolution value requirement, a level four warning signal for the aeration system status will be generated.

[0050] If the non-fixed disc resolution value of the aeration disc is outside the preset non-fixed disc resolution value requirement, a level three early warning signal for the aeration system status will be generated.

[0051] As a further aspect of the present invention: an aeration system status assessment system based on fiber optic sensing technology, comprising:

[0052] The data parsing module has a preset monitoring period. The data parsing module is used to acquire the aeration status data of the aeration disc within the monitoring period and send the aeration status data to the cloud management and control platform.

[0053] The status recognition module receives aeration status data sent by the cloud management platform, processes the aeration status data to obtain the status behavior value of the aeration disc, obtains the status of the aeration disc based on the status behavior value, and uploads the status of the aeration disc to the cloud management platform.

[0054] The assessment and analysis module receives the aeration disc status transmitted by the cloud management and control platform. Based on the aeration disc status, the assessment and analysis module performs visual identification of the aeration system status corresponding to the entire sewage treatment pond and obtains the early warning status level signal of the aeration system.

[0055] The warning status signals of the aeration system include Level 1 warning signal, Level 2 warning signal, Level 3 warning signal and Level 4 warning signal.

[0056] The beneficial effects of this invention are:

[0057] (1) In the monitoring period, the present invention analyzes each independent aeration disc, divides the monitoring period into several time sub-units, and acquires the aeration status data in each time sub-unit. That is, by processing the vibration frequency of the aeration disc in the time sub-unit, the vibration frequency deviation ratio of the aeration disc is obtained; by processing the aeration gas flow rate value in the time sub-unit, the airflow deviation value of the aeration disc is obtained; by processing the bubbles in the time sub-unit, the bubble compliance analysis value of the aeration disc is obtained; and by processing the aeration status data, the status behavior value of the aeration disc is obtained. That is, the aeration disc status is identified and processed by multiple dimensions such as vibration frequency, aeration flow rate and bubble size, with high accuracy.

[0058] (2) This invention compares and analyzes the aeration status of each aeration disc in the entire wastewater treatment plant, and realizes the identification from the operating status of a single aeration disc to the overall aeration system status. That is, the aeration effect of the entire aeration system is mapped according to the status of different aeration discs, and early warning signals of different status levels are obtained. The higher the early warning level of the aeration system status corresponding to the wastewater treatment pond, the worse the operating status of the aeration system is, thus realizing the visual management of the aeration system. Attached Figure Description

[0059] The invention will now be further described with reference to the accompanying drawings.

[0060] Figure 1 This is a flowchart of an aeration system state assessment method based on fiber optic sensing technology according to the present invention.

[0061] Figure 2 This is a flowchart of a method for evaluating the state of an aeration system based on fiber optic sensing technology, as described in this invention. Detailed Implementation

[0062] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0063] Please see Figure 1 As shown, this invention is a method for evaluating the state of an aeration system based on fiber optic sensing technology, comprising the following steps:

[0064] A preset monitoring cycle is set, and aeration status data of the aeration discs are obtained within the monitoring cycle.

[0065] The aeration status data is processed to obtain the status behavior value of the aeration disc, and the status of the aeration disc is obtained based on the status behavior value.

[0066] Based on the status of the aeration discs, the status of the corresponding aeration system in the entire wastewater treatment tank is visually identified, and the early warning status level signal of the aeration system is obtained.

[0067] The warning status signals of the aeration system include Level 1 warning signal, Level 2 warning signal, Level 3 warning signal and Level 4 warning signal.

[0068] The monitoring period is divided into several time sub-units, and the aeration status data of each time sub-unit is obtained;

[0069] The aeration status data includes the square ratio of the vibration frequency of the aeration disc, the airflow deviation value of the aeration disc, and the bubble ratio analysis value of the aeration disc.

[0070] The process for obtaining the square deviation ratio of the vibration frequency of the aeration disc is as follows:

[0071] Obtain the maximum and minimum vibration frequency values ​​within the time sub-unit, sum the maximum and minimum vibration frequency values, and take the average to obtain the average vibration frequency of the time sub-unit.

[0072] The average vibration frequencies of all time sub-units are integrated to obtain a set of average vibration frequencies;

[0073] The vibration frequency mean group is processed according to the variance calculation formula to obtain the vibration frequency variance value;

[0074] The difference between the maximum and minimum values ​​in the vibration frequency mean group is calculated to obtain the vibration frequency deviation value. The ratio of the vibration frequency deviation value to the preset vibration frequency value is calculated to obtain the vibration frequency deviation ratio.

[0075] The preset vibration frequency value is an empirical value, set by staff based on experience.

[0076] The vibration frequency deviation ratio of the aeration disc is obtained by multiplying the vibration frequency deviation ratio by the vibration frequency variance value.

[0077] The process for obtaining the airflow deviation value of the aeration disc is as follows:

[0078] Obtain the aeration gas flow rate value corresponding to the aeration disc at the midpoint of the time sub-unit, calculate the difference between the aeration gas flow rate value and the preset aeration gas flow rate value, and obtain the airflow deviation value of the aeration disc.

[0079] The airflow deviation values ​​of the aeration discs are integrated to obtain the airflow deviation value group of the aeration discs;

[0080] The average airflow deviation of the aeration disc is obtained by summing the set of airflow deviation values.

[0081] The variance of the airflow deviation value group of the aeration disc is calculated according to the variance calculation formula to obtain the airflow deviation variance value of the aeration disc.

[0082] The airflow deviation value of the aeration disc is calculated by multiplying the mean airflow deviation value of the aeration disc by the variance of the airflow deviation value of the aeration disc.

[0083] The aeration gas flow rate of the aeration disc is obtained by monitoring the gas flow meter.

[0084] The process for obtaining the bubble compliance analysis value of the aeration disc is as follows:

[0085] Within a time sub-unit, acquire the bubble aeration image of the aeration area of ​​the aeration disc at the midpoint of the time sub-unit, and divide the bubble aeration image into several region sub-units.

[0086] Obtain the number of bubbles in each sub-unit, and calculate the ratio of the number of bubbles to the area of ​​the sub-unit to obtain the region bubble ratio;

[0087] Compare the zone bubble ratio with the preset zone bubble ratio requirement;

[0088] Region sub-units whose region bubble ratio is within the preset requirement are denoted as standard region sub-units;

[0089] Region sub-units whose region bubble ratio is outside the preset requirement are categorized as non-standard region sub-units.

[0090] Obtain the number of standard area sub-units and the number of non-standard area sub-units, and calculate the ratio of the number of standard area sub-units to the number of non-standard area sub-units to obtain the compliance ratio of the number of areas.

[0091] Get the size (diameter) of the bubbles in the region sub-unit, and get the number of bubbles in the region sub-unit that meet the preset bubble size requirements, which is recorded as the number of qualified bubbles;

[0092] The bubble standard ratio of the region sub-unit is obtained by calculating the ratio of the number of qualified bubbles in the region sub-unit to the total number of bubbles in the region sub-unit.

[0093] The bubble standard ratios of all regional sub-units are summed and averaged to obtain the regional size standard ratios.

[0094] The bubble compliance value of the aeration disc is obtained by multiplying the regional quantity compliance ratio with the regional size compliance ratio.

[0095] Among them, the bubble aeration image is acquired by using a camera or scanner, and the bubble aeration image is acquired at the midpoint of the time sub-unit.

[0096] Since bubble aeration images may have problems such as noise and uneven lighting, preprocessing is performed on the bubble aeration images. Preprocessing includes filtering, noise reduction and contrast enhancement.

[0097] The square ratio of the vibration frequency of the aeration disc is denoted as Fp;

[0098] The airflow deviation value of the aeration disc is denoted as Qc;

[0099] The bubble density of the aeration disc is recorded as Hg;

[0100] Through formula The state behavior value Bi of the aeration disc is calculated, where a1, a2, and a3 are all preset proportional factors, and a1, a2, and a3 are all greater than zero.

[0101] As can be seen from the formula for obtaining the state behavior value of the aeration disc, the smaller the deviation ratio of the vibration frequency of the aeration disc, the more balanced the vibration frequency of the aeration disc is at different time points within the monitoring period, the more dynamic the balance is within a vibration frequency range, and the smaller the overall vibration frequency fluctuation area. In this case, the larger the state behavior value of the aeration disc is obtained, indicating that the aeration state of the aeration disc is better.

[0102] The smaller the airflow deviation value of the aeration disc, the more stable the aeration airflow is at different time points within the monitoring period, the smaller the airflow deviation between time points, and the smaller the overall airflow fluctuation. The larger the state behavior value of the aeration disc, the better the aeration state of the aeration disc.

[0103] The larger the bubble density value of the aeration disc, the more stable the number of bubbles in each sub-unit is, and the smaller the bubble size in each sub-unit, the longer the residence time in the water, which increases the contact time between oxygen and water, improves the oxygen utilization rate, and improves the aeration effect. Therefore, the larger the state behavior value of the aeration disc, the better the aeration state of the aeration disc.

[0104] The monitoring cycle is set by staff based on experience, including but not limited to 3 days, 7 days or 10 days.

[0105] Obtain the status behavior value of each aeration disc within the monitoring period, and iterate through all the status behavior values ​​of the aeration discs within the monitoring period to obtain the maximum status behavior value Bimax and the minimum status behavior value Bimin.

[0106] Preset the threshold value for the state behavior of the aeration disc;

[0107] If the maximum state behavior value Bimax within the monitoring period is less than or equal to the state behavior threshold bi, it indicates that the vibration frequency of the aeration disc is unstable, the aeration flow rate is uneven, and the aeration bubble shape is unstable within the monitoring period. The overall aeration effect of the aeration system is poor, and a first-level warning signal for the aeration system status is generated.

[0108] If the minimum state behavior value Bi imin in the monitoring period is greater than the state behavior threshold bi, it means that the vibration frequency of the aeration disc is stable, the aeration flow rate is balanced and the aeration bubble shape is stable in the monitoring period, the overall aeration effect of the aeration system is good, and a signal of excellent operation of the aeration system is generated.

[0109] If the maximum state behavior value Bimax within the monitoring period is greater than the state behavior threshold Bi and the minimum state behavior value Bimin within the monitoring period;

[0110] Then, the status behavior values ​​Bi of all aeration discs within the monitoring period are processed to obtain the actual variance of the aeration disc status within the monitoring period. The actual variance of the aeration disc status is marked as Bi if, and the preset threshold of the actual variance of the aeration disc status is marked as Biy.

[0111] Compare the actual variance of the aeration disc status Bif with the threshold of the actual variance of the aeration disc status Biy.

[0112] When the actual variance of the aeration disc status B if ≥ the threshold value of the actual variance of the aeration disc status B iy, it indicates that the overall status of the aeration disc fluctuates greatly during the monitoring period, that is, the aeration effect of the aeration system is unstable during the monitoring period, and a secondary early warning signal for the status of the aeration system is generated.

[0113] If the actual variance of the aeration disc status B if < the threshold of the actual variance of the aeration disc status B iy, it indicates that the overall fluctuation of the aeration disc status is small within the monitoring period. Then, the distribution and quantity of the aeration discs are analyzed.

[0114] Aeration discs whose state behavior value Bi is greater than or equal to the state behavior threshold bi are denoted as calibrated aeration discs.

[0115] An aeration disc whose state behavior value Bi is less than the state behavior threshold bi is denoted as a non-fixed aeration disc.

[0116] All calibrated and non-calibrated aeration discs are marked in the wastewater treatment tank corresponding to the aeration system;

[0117] Obtain the state behavior values ​​Bi of all calibrated aeration discs, and sum and average the state behavior values ​​of all calibrated aeration discs to obtain the state behavior calibration value of the calibrated aeration discs.

[0118] Obtain the state behavior values ​​Bi of all non-constant aeration discs, and sum and average the state behavior values ​​of all non-constant aeration discs to obtain the non-constant state behavior values ​​of the non-constant aeration discs.

[0119] The difference between the calibrated state behavior value of the calibrated aeration disc and the non-calibrated state behavior value of the non-calibrated aeration disc is calculated to obtain the state behavior deviation value of the aeration disc.

[0120] Obtain the number of non-fixed aeration discs, and calculate the ratio of the number of non-fixed aeration discs to the total number of aeration discs to obtain the non-quantitative ratio of aeration discs.

[0121] The non-fixed disc analytical value of the aeration disc is obtained by multiplying the state behavior deviation value of the aeration disc with the non-quantitative ratio of the aeration disc.

[0122] If the non-fixed disc resolution value of the aeration disc is within the preset non-fixed disc resolution value requirement, it indicates that the overall vibration frequency, aeration flow rate and aeration bubble shape of the aeration disc are relatively small within the monitoring period, the overall aeration effect of the aeration system is relatively stable, and a level four warning signal for the aeration system status is generated.

[0123] If the non-fixed-disc resolution value of the aeration disc is outside the preset requirement, it indicates that the overall vibration frequency, aeration flow rate, and aeration bubble morphology of the aeration disc deviate significantly within the monitoring period, and the overall aeration effect of the aeration system is unstable, generating a level three warning signal for the aeration system status.

[0124] Among them, the Level 1 warning signal for the aeration system status has the highest warning level, while the Level 4 warning signal for the aeration system status has the lowest warning level.

[0125] It should be noted that the higher the highest warning level of the aeration system corresponding to the sewage treatment pond, the worse the operating status of the aeration system, thus enabling visualized management of the aeration system.

[0126] Example 2

[0127] Please see Figure 2 As shown, the present invention is an aeration system status assessment system based on fiber optic sensing technology, including a data parsing module, a status identification module, an assessment and analysis module, and a cloud management and control platform.

[0128] The data parsing module, status recognition module, and evaluation and analysis module are electrically connected to the cloud management and control platform;

[0129] The data parsing module is used to obtain aeration status data of the aeration discs within the preset monitoring period and send the aeration status data to the cloud management platform.

[0130] The status recognition module receives aeration status data sent by the cloud management platform. The status recognition module processes the aeration status data to obtain the status behavior value of the aeration disc, obtains the status of the aeration disc based on the status behavior value, and uploads the status of the aeration disc to the cloud management platform.

[0131] The assessment and analysis module receives the aeration disc status transmitted by the cloud management and control platform. Based on the aeration disc status, the assessment and analysis module performs visual identification of the aeration system status corresponding to the entire sewage treatment pond and obtains the early warning status level signal of the aeration system.

[0132] The warning status signals of the aeration system include Level 1 warning signal, Level 2 warning signal, Level 3 warning signal and Level 4 warning signal.

[0133] One of the core aspects of this invention is that, within the monitoring period, each independent aeration disc is analyzed. The monitoring period is divided into several time sub-units, and aeration status data within each time sub-unit is acquired. Specifically, the vibration frequency of the aeration disc within the time sub-unit is processed to obtain the vibration frequency deviation ratio of the aeration disc; the aeration gas flow rate within the time sub-unit is processed to obtain the airflow deviation value of the aeration disc; the bubbles within the time sub-unit are processed to obtain the bubble compliance analysis value of the aeration disc; and the aeration status data is processed to obtain the status behavior value of the aeration disc. In other words, the aeration disc status is identified and processed in multiple dimensions such as vibration frequency, aeration flow rate, and bubble size, achieving high accuracy.

[0134] One of the core aspects of this invention is to compare and analyze the aeration status of each aeration disc in the entire wastewater treatment plant, thereby identifying the status of the entire aeration system from the operating status of a single aeration disc. In other words, the aeration effect of the entire aeration system is mapped according to the status of different aeration discs, resulting in early warning signals of different status levels. The higher the early warning level of the aeration system corresponding to the wastewater treatment pond, the worse the operating status of the aeration system, thus achieving visualized management of the aeration system.

[0135] The foregoing has provided a detailed description of one embodiment of the present invention, but this description is merely a preferred embodiment and should not be construed as limiting the scope of the invention. All equivalent variations and modifications made within the scope of the claims of this invention should still fall within the patent coverage of this invention.

Claims

1. A method for assessing the state of an aeration system based on fiber optic sensing technology, characterized in that, Includes the following steps: A preset monitoring cycle is set, and aeration status data of the aeration discs are obtained within the monitoring cycle. The aeration status data is processed to obtain the status behavior value of the aeration disc, and the status of the aeration disc is obtained based on the status behavior value. The status of the aeration system in the entire wastewater treatment tank is visually identified based on the status of the aeration discs, and the early warning status level signal of the aeration system is obtained. The early warning status signals of the aeration system include Level 1, Level 2, Level 3, and Level 4 warning signals; The aeration status data includes the square ratio of the vibration frequency of the aeration disc, the airflow deviation value of the aeration disc, and the bubble ratio analysis value of the aeration disc. Within the monitoring period, each independent aeration disc is analyzed. The monitoring period is divided into several time sub-units. Aeration status data is acquired in each time sub-unit. Specifically, the vibration frequency of the aeration disc in the time sub-unit is processed to obtain the vibration frequency deviation ratio of the aeration disc. The airflow deviation value of the aeration disc is obtained by processing the aeration gas flow rate value in the time sub-unit. The bubble analysis value of the aeration disc is obtained by processing the bubbles in the time sub-unit. The square ratio of the vibration frequency of the aeration disc is denoted as Fp; The airflow deviation value of the aeration disc is denoted as Qc; The bubble density of the aeration disc is recorded as Hg; Through formula The state behavior value Bi of the aeration disc is calculated, where a1, a2, and a3 are all preset proportional factors, and a1, a2, and a3 are all greater than zero.

2. The method for assessing the state of an aeration system based on fiber optic sensing technology according to claim 1, characterized in that, The process of obtaining the square ratio of the vibration frequency of the aeration disc is as follows: Obtain the vibration frequency value of the time sub-unit, sum the maximum vibration frequency value and the minimum vibration frequency value and take the average value to obtain the average vibration frequency value of the time sub-unit. The average vibration frequencies of all time sub-units are integrated to obtain a set of average vibration frequencies; The vibration frequency mean group is processed according to the variance calculation formula to obtain the vibration frequency variance value; The difference between the maximum and minimum values ​​in the vibration frequency mean group is calculated to obtain the vibration frequency deviation value. The ratio of the vibration frequency deviation value to the preset vibration frequency value is calculated to obtain the vibration frequency deviation ratio. The vibration frequency deviation ratio of the aeration disc is obtained by multiplying the vibration frequency deviation ratio by the vibration frequency variance value.

3. The method for assessing the state of an aeration system based on fiber optic sensing technology according to claim 1, characterized in that, The process of obtaining the airflow deviation value of the aeration disc is as follows: Obtain the aeration gas flow rate value corresponding to the aeration disc at the midpoint of the time sub-unit, calculate the difference between the aeration gas flow rate value and the preset aeration gas flow rate value, and obtain the airflow deviation value of the aeration disc. The airflow deviation values ​​of the aeration discs are integrated to obtain the airflow deviation value group of the aeration discs; The average airflow deviation of the aeration disc is obtained by summing the set of airflow deviation values. The variance of the airflow deviation value group of the aeration disc is calculated according to the variance calculation formula to obtain the airflow deviation variance value of the aeration disc. The airflow deviation value of the aeration disc is calculated by multiplying the mean airflow deviation of the aeration disc by the variance of the airflow deviation.

4. The method for assessing the state of an aeration system based on fiber optic sensing technology according to claim 1, characterized in that, Within a time sub-unit, acquire the bubble aeration image of the aeration area of ​​the aeration disc at the midpoint of the time sub-unit, and divide the bubble aeration image into several region sub-units. Obtain the number of bubbles in each sub-unit, and calculate the ratio of the number of bubbles to the area of ​​the sub-unit to obtain the region bubble ratio; Region sub-units whose region bubble ratio is within the preset requirement are denoted as standard region sub-units; Region sub-units whose region bubble ratio is outside the preset requirement are categorized as non-standard region sub-units.

5. The method for assessing the state of an aeration system based on fiber optic sensing technology according to claim 4, characterized in that, The ratio of the number of standard area sub-units to the number of non-standard area sub-units is calculated to obtain the area quantity compliance ratio; Obtain the bubble size in the region sub-unit, and obtain the number of bubbles in the region sub-unit that meet the preset bubble size requirements, which is recorded as the number of qualified bubbles; The bubble standard ratio of the region sub-unit is obtained by calculating the ratio of the number of qualified bubbles in the region sub-unit to the total number of bubbles in the region sub-unit. The bubble standard ratios of all regional sub-units are summed and averaged to obtain the regional size standard ratios. The bubble compliance value of the aeration disc is obtained by multiplying the regional quantity compliance ratio with the regional size compliance ratio.

6. The method for assessing the state of an aeration system based on fiber optic sensing technology according to claim 1, characterized in that, The maximum state behavior value Bimax and the minimum state behavior value Bimin are obtained by iterating through the state behavior values ​​of all aeration discs within the monitoring period. Preset threshold bi for the state behavior of the aeration disc; If the maximum state behavior value Bimax within the monitoring period is less than or equal to the state behavior threshold bi, a level one early warning signal for the aeration system status is generated. If the minimum state behavior value Bimin is greater than the state behavior threshold bi during the monitoring period, an optimal state operation signal for the aeration system is generated.

7. The method for assessing the state of an aeration system based on fiber optic sensing technology according to claim 6, characterized in that, If the maximum state behavior value Bimax within the monitoring period is greater than the state behavior threshold Bi and the minimum state behavior value Bimin within the monitoring period; Obtain the actual variance of the aeration disc status within the monitoring period, label the actual variance of the aeration disc status as Bif, and label the preset threshold of the actual variance of the aeration disc status as Biy; When the actual variance of the aeration disc status Bif is greater than or equal to the threshold Biy of the actual variance of the aeration disc status, a secondary early warning signal for the aeration system status is generated. When the actual variance of the aeration disc status Bif is less than the threshold Biy of the actual variance of the aeration disc status, the distribution and quantity of the aeration discs are analyzed.

8. The method for assessing the state of an aeration system based on fiber optic sensing technology according to claim 7, characterized in that, Aeration discs whose state behavior value Bi is greater than or equal to the state behavior threshold Bi are denoted as calibrated aeration discs. An aeration disc whose state behavior value Bi is less than the state behavior threshold Bi is denoted as a non-fixed aeration disc. The state behavior deviation value of the aeration disc and the non-quantitative ratio of the aeration disc were obtained by processing the calibrated aeration disc and the non-quantitative aeration disc; The non-fixed disc analytical value of the aeration disc is obtained by multiplying the state behavior deviation value of the aeration disc with the non-quantitative ratio of the aeration disc. If the non-fixed disc resolution value of the aeration disc is within the preset non-fixed disc resolution value requirement, a level four warning signal for the aeration system status will be generated. If the non-fixed disc resolution value of the aeration disc is outside the preset non-fixed disc resolution value requirement, a level three early warning signal for the aeration system status will be generated.

9. A state assessment system for an aeration system based on fiber optic sensing technology, used to perform the method described in any one of claims 1-8, characterized in that, include: The data parsing module has a preset monitoring period. The data parsing module is used to acquire the aeration status data of the aeration disc within the monitoring period and send the aeration status data to the cloud management and control platform. The status recognition module receives aeration status data sent by the cloud management platform, processes the aeration status data to obtain the status behavior value of the aeration disc, obtains the status of the aeration disc based on the status behavior value, and uploads the status of the aeration disc to the cloud management platform. The assessment and analysis module receives the aeration disc status transmitted by the cloud management and control platform. Based on the aeration disc status, the assessment and analysis module performs visual identification of the aeration system status corresponding to the entire sewage treatment pond and obtains the early warning status level signal of the aeration system. The warning status signals of the aeration system include Level 1 warning signal, Level 2 warning signal, Level 3 warning signal and Level 4 warning signal.

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