A liftable aeration system for industrial wastewater

By designing an industrial wastewater liftable aeration system, using a variety of detection and regulation modules to monitor and automatically regulate the aeration process, the problems of incomplete monitoring and inaccurate regulation of the aeration process in the existing technology are solved, and efficient aeration effect and intelligent management are achieved.

CN118619468BActive Publication Date: 2025-04-11GUANGDONG YUEKANG ENVIRONMENTAL PROTECTION CO LTD
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Patent Information

Application Number
CN202410644767.1
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2024-05-23
Publication Date
2025-04-11
Estimated Expiration
2044-05-23

AI Technical Summary

Technical Problem

The existing technology is difficult to achieve comprehensive monitoring and accurate judgment of the aeration process of industrial wastewater, resulting in the inability to guarantee the aeration effect, high management difficulty, and low intelligence and automation.

Method used

An industrial wastewater liftable aeration system was designed, including an aerator position pendulum detection module, an aerator operation and deviation analysis module, an improved stability detection module, an intelligent control module, a control reaction efficiency detection module and a back-end management terminal. Through the coordinated work of these modules, comprehensive monitoring and automated regulation of the aeration process can be achieved.

Benefits of technology

It realizes comprehensive and reasonable monitoring and accurate judgment of the aeration process of industrial wastewater, improves the assurance of the aeration effect, reduces the difficulty of management, and improves the intelligence of the system.

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Abstract

The present invention belongs to the technical field of industrial wastewater treatment, and specifically is a liftable aeration system for industrial wastewater, comprising a processor, an aerator position detection module, an aerator deviation analysis module, a lifting stability detection module, an intelligent control module, a regulation reaction effectiveness inspection module and a background management terminal; the present invention accurately judges the position performance status of the aerator through the aerator position detection module, the aerator deviation analysis module analyzes the operation deviation status of the aerator, the lifting stability detection module effectively monitors the lifting process of the aerator and accurately feeds back its lifting performance, the intelligent control module automatically adjusts the operating parameters of the aerator, and the regulation reaction effectiveness inspection module analyzes the regulation efficiency performance of the intelligent control module, so as to realize comprehensive and reasonable monitoring and accurate judgment of the aeration process, which is conducive to the management personnel to make corresponding improvement measures in a targeted manner, and ensure the aeration effect in the industrial wastewater treatment process, and has a high degree of intelligence.
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Description

Technical Field

[0001] The invention relates to the technical field of industrial wastewater treatment, in particular to a liftable aeration system for industrial wastewater. Background Art

[0002] Industrial wastewater refers to wastewater and waste liquid generated during industrial production, which contains industrial production materials, intermediate products, by-products and pollutants generated during the production process that are lost with water. In the existing industrial wastewater treatment process, aeration equipment is a key component, which plays a vital role in the biological degradation, oxidation and removal of organic matter of wastewater.

[0003] At present, when aeration is performed on industrial wastewater, it is difficult to fully monitor the aeration process and accurately judge the abnormal conditions of the corresponding aeration process, which is not conducive to the management personnel to make corresponding improvement measures in a timely and targeted manner, and the aeration effect in the industrial wastewater treatment process cannot be guaranteed, which increases the management difficulty of the management personnel, and the degree of intelligence and automation is low;

[0004] In view of the above technical defects, a solution is now proposed. Summary of the invention

[0005] The purpose of the present invention is to provide a liftable aeration system for industrial wastewater, which solves the problems that the prior art is difficult to achieve comprehensive monitoring of the aeration process and accurately judge the abnormal conditions of the corresponding aeration process, cannot guarantee the aeration effect in the industrial wastewater treatment process, is difficult to manage, and has low intelligence and automation levels.

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

[0007] An industrial wastewater liftable aeration system comprises a processor, an aerator position swing detection module, an aerator deviation analysis module, a lifting stability detection module, an intelligent control module, a regulation reaction effect detection module and a background management terminal; the aerator position swing detection module is used to analyze the position change of the aerator during the working process of the aerator, generate a micro-swing signal or an abnormal swing signal through the analysis, and send the micro-swing signal or the abnormal swing signal to the background management terminal through the processor;

[0008] The aerator operation deviation analysis module is used to analyze the operation deviation status of the aerator, and generate an operation deviation error signal or an operation deviation normal signal through analysis, and send the operation deviation error signal or the operation deviation normal signal to the background management end through the processor; when the aerator is height-adjusted, the lifting stability detection module monitors and analyzes the adjustment process, and generates a lifting stability signal or a lifting unstable signal through analysis, and sends the lifting stability signal or the lifting unstable signal to the background management end through the processor;

[0009] The intelligent management and control module monitors the water quality and treatment effect of industrial wastewater in real time, generates corresponding control instructions according to the monitoring data, and automatically adjusts the operating parameters of the aerator based on the generated control instructions. The control reaction effectiveness inspection module monitors and analyzes the control process of the intelligent management and control module, generates an abnormal adjustment signal or an optimization signal through analysis, and sends the abnormal adjustment signal or the optimization signal to the background management end through the processor; the background management end issues a corresponding warning when it receives an abnormal swing signal, an abnormal operation deviation signal, an unstable lifting signal or an abnormal adjustment signal.

[0010] Furthermore, the specific operation process of the aerator position detection module includes:

[0011] The real-time position of the aerator at the corresponding moment is collected, and the distance between the real-time position and the set initial position is calculated to obtain the aerator swing distance value, and the average of all the aerator swing distance values ​​in the unit time is calculated to obtain the aerator swing condition value, and the number of aerator swing distance values ​​exceeding the preset aerator swing distance threshold in the unit time is marked as the aerator abnormal swing value; and the real-time position of two adjacent groups of moments is calculated to obtain the real-time fluctuation value, and the number of real-time fluctuation values ​​exceeding the preset real-time fluctuation threshold in the unit time is marked as the fluctuation abnormal condition value;

[0012] The aerator position swing value is obtained by numerically calculating the aerator swing condition value, the aerator abnormal swing value and the fluctuation abnormal condition value, and the aerator position swing value is numerically compared with the preset aerator position swing threshold. If the aerator position swing value exceeds the preset aerator position swing threshold, an abnormal swing signal is generated; if the aerator position swing value does not exceed the preset aerator position swing threshold, a micro-swing signal is generated.

[0013] Furthermore, the specific operation process of the aerator deviation analysis module includes:

[0014] During the corresponding aeration process of the aerator, real-time aeration detection and analysis is performed to determine whether the aerator is in an aeration deviation state, the total duration of the aerator being in the aeration deviation state during the corresponding aeration process is obtained and marked as the aeration deviation time value, and the maximum single duration of the aeration deviation state is marked as the aeration deviation amplitude value;

[0015] The aeration duration of the corresponding aeration process is collected, and the deviation value of the aeration duration compared to the set standard aeration duration is marked as the aeration time separation value. The aeration segregation value is obtained by numerically calculating the aeration operation deviation time value, the aeration operation deviation amplitude value and the aeration time separation value. The aeration segregation value is numerically compared with the preset aeration segregation threshold. If the aeration segregation value exceeds the preset aeration segregation threshold, an operation deviation abnormality signal is generated; if the aeration segregation value does not exceed the preset aeration segregation threshold, an operation deviation normality signal is generated.

[0016] Furthermore, the specific analysis process of aeration real-time detection and analysis is as follows:

[0017] The real-time aeration volume and real-time aeration pressure of the aerator are collected, the real-time aeration volume is subtracted from the set standard real-time aeration volume, and the absolute value is taken to obtain the aeration speed detection value, and the real-time aeration pressure is subtracted from the set standard real-time aeration pressure, and the absolute value is taken to obtain the aeration pressure detection value, the aeration speed detection value and the aeration pressure detection value are numerically calculated to obtain the aeration detection condition value, and the aeration detection condition value is numerically compared with the preset aeration detection condition threshold value. If the aeration detection condition value exceeds the preset aeration detection condition threshold value, it is determined that the aerator is in an aeration deviation state.

[0018] Furthermore, the specific operation process of improving the stability detection module includes:

[0019] The height of the aerator is adjusted by the lifting device. After the lifting process is completed, the final position of the aerator is collected, and the distance value between the final position and the set position is marked as the lifting position abnormality value. The lifting position abnormality value is numerically compared with the preset lifting position abnormality threshold. If the lifting position abnormality value exceeds the preset lifting position abnormality threshold, a lifting unstable signal is generated.

[0020] If the lifting position deviation value does not exceed the preset lifting position deviation threshold, several detection time points are set in the lifting process, and the lifting speed of the aerator at the corresponding detection time points is collected, and the deviation value of the lifting speed compared with the corresponding standard lifting speed is marked as the lifting speed deviation value, and the lifting speed deviation value is obtained by averaging all the lifting speed deviation values ​​in the lifting process, and the number of lifting speed deviation values ​​exceeding the corresponding preset lifting speed deviation threshold is marked as the lifting abnormality detection value;

[0021] The lifting abnormal condition value is obtained by numerically calculating the lifting position abnormal value, the lifting speed abnormal value and the lifting abnormal detection value, and the lifting abnormal condition value is numerically compared with the preset lifting abnormal condition threshold. If the lifting abnormal condition value exceeds the corresponding preset lifting abnormal condition threshold, a lifting unstable signal is generated; if the lifting abnormal condition value does not exceed the corresponding preset lifting abnormal condition threshold, a lifting stable signal is generated.

[0022] Furthermore, the specific operation process of the control reaction effectiveness inspection module includes:

[0023] The moment when the intelligent management and control module generates the corresponding control instruction is collected and marked as the first moment, and the moment when the corresponding control operation is completed for the corresponding control instruction is collected and marked as the second moment, the time difference between the first moment and the second moment is calculated to obtain the instruction execution status value, and the instruction execution status value is numerically compared with the corresponding preset instruction execution status threshold. If the instruction execution status value exceeds the preset instruction execution status threshold, a tuning signal of the corresponding control process is generated; if the instruction execution status value does not exceed the preset instruction execution status threshold, a tuning signal of the corresponding control process is generated.

[0024] Furthermore, the processor is communicatively connected to the aeration management evaluation module, which is used to set an evaluation period, analyze the aeration management performance within the evaluation period, generate an aeration management good rating signal or an aeration management bad rating signal through the analysis, and send the aeration management good rating signal or the aeration management bad rating signal to the background management end via the processor.

[0025] Furthermore, the specific operation process of the aeration management evaluation module includes:

[0026] The proportion of the number of times the abnormal swing signal is generated, the proportion of the number of times the operation deviation signal is generated, the proportion of the number of times the lifting unstable signal is generated, and the proportion of the number of times the adjustment deviation signal is generated within the evaluation period are obtained and marked as the abnormal swing analysis value, the operation deviation analysis value, the lifting deviation value, and the adjustment deviation value, respectively. The total aeration time within the evaluation period is obtained and marked as the aeration time measurement value. The aeration tube evaluation value is obtained by numerically calculating the abnormal swing analysis value, the operation deviation analysis value, the lifting deviation value, the adjustment deviation value, and the aeration time measurement value. The aeration tube evaluation value is numerically compared with the preset aeration tube evaluation threshold. If the aeration tube evaluation value exceeds the preset aeration tube evaluation threshold, an aeration management poor evaluation signal is generated.

[0027] Furthermore, if the aeration pipe evaluation value does not exceed the preset aeration pipe evaluation threshold, the number of occurrences of aeration termination due to faults within the evaluation period is collected and marked as the aeration termination coefficient, and the recovery time of each aeration termination is marked as the aeration recovery time, the number of aeration recovery times that exceeds the corresponding preset aeration recovery time threshold is marked as the aeration abnormality value, and all aeration recovery times are summed up to obtain the aeration recovery time value, and the aeration pipe condition value is obtained by numerically calculating the aeration pipe evaluation value, the aeration termination coefficient, the aeration abnormality value, and the aeration recovery time value, and the aeration pipe condition value is numerically compared with the preset aeration pipe condition threshold. If the aeration pipe condition value exceeds the preset aeration pipe condition threshold, an aeration management poor evaluation signal is generated; if the aeration pipe condition value does not exceed the preset aeration pipe condition threshold, an aeration management good evaluation signal is generated.

[0028] Compared with the prior art, the present invention has the following beneficial effects:

[0029] 1. In the present invention, the position performance of the aerator is accurately judged by the aerator position detection module, the aerator deviation analysis module analyzes the operation deviation of the aerator, the lifting stability detection module effectively monitors the lifting process of the aerator and accurately feeds back its lifting performance, the intelligent control module automatically adjusts the operating parameters of the aerator, and the control reaction efficiency inspection module analyzes the control efficiency performance of the intelligent control module, so as to achieve comprehensive and reasonable monitoring and accurate judgment of the aeration process, which is conducive to the management personnel to make corresponding improvement measures in a targeted manner, ensure the aeration effect in the process of industrial wastewater treatment, reduce the management difficulty of the management personnel, and have a high degree of intelligence;

[0030] 2. In the present invention, an evaluation period is set through an aeration management evaluation module, and the aeration management performance within the evaluation period is analyzed. An aeration management good rating signal or an aeration management bad rating signal is generated through the analysis, and when an aeration management bad rating signal is generated, the background management terminal issues a corresponding warning, so that the management personnel can subsequently strengthen aeration supervision in the industrial wastewater treatment process to ensure the subsequent aeration performance. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] In order to facilitate understanding by those skilled in the art, the present invention is further described below in conjunction with the accompanying drawings;

[0032] Figure 1 This is a system block diagram of Embodiment 1 of the present invention;

[0033] Figure 2 This is a system block diagram of Embodiment 2 of the present invention. DETAILED DESCRIPTION

[0034] 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.

[0035] Embodiment 1: Figure 1 As shown, the present invention proposes an industrial wastewater liftable aeration system, including a processor, an aerator position swing detection module, an aerator deviation analysis module, a lifting stability detection module, an intelligent control module, a regulation reaction effect detection module and a background management terminal; during the working process of the aerator, the aerator position swing detection module analyzes the position change of the aerator, generates a micro-swing signal or an abnormal swing signal through analysis, and sends the micro-swing signal or the abnormal swing signal to the background management terminal through the processor, which can reasonably analyze and accurately judge the rationality of the position of the aerator, and take corresponding treatment and improvement measures in time, so as to ensure the position accuracy and rationality of the aerator, and improve the aeration effect and industrial wastewater treatment effect; the specific operation process of the aerator position swing detection module is as follows:

[0036] The real-time position of the aerator at the corresponding moment is collected, and the distance between the real-time position and the set initial position is calculated to obtain the aerator swing distance value, wherein the larger the value of the aerator swing distance value is, the greater the degree of position deviation of the aerator at the corresponding moment is; the average of all the aerator swing distance values ​​in a unit time is calculated to obtain the aerator swing condition value, and the number of aerator swing distance values ​​exceeding the preset aerator swing distance threshold value in a unit time is marked as the aerator abnormal swing value; and the real-time position of two adjacent groups of moments is calculated to obtain the real-time fluctuation value, and the number of real-time fluctuation values ​​exceeding the preset real-time fluctuation threshold value in a unit time is marked as the fluctuation abnormal condition value;

[0037] By formula The aerator swing value QW, the aerator abnormal swing value QR and the fluctuation abnormal condition value QY are numerically calculated to obtain the aerator position swing value QF, wherein b1, b2 and b3 are preset proportional coefficients, and the values ​​of b1, b2 and b3 are all positive numbers; and the larger the value of the aerator position swing value QF, the worse the position performance of the aerator is; the aerator position swing value QF is numerically compared with the preset aerator position swing threshold value, if the aerator position swing value QF exceeds the preset aerator position swing threshold value, it indicates that the position performance of the aerator is poor, and an abnormal swing signal is generated; if the aerator position swing value QF does not exceed the preset aerator position swing threshold value, it indicates that the position performance of the aerator is good, and a micro-swing signal is generated.

[0038] The aerator operation deviation analysis module is used to analyze the operation deviation of the aerator. By analyzing and generating an operation deviation error signal or an operation deviation normal signal, and sending the operation deviation error signal or the operation deviation normal signal to the background management end through the processor, it can reasonably analyze and accurately judge the operation performance of the aerator, so as to timely adjust the operation of the aerator accordingly and ensure the aeration effect of the aerator. The specific operation process of the aerator operation deviation analysis module is as follows:

[0039] In the corresponding aeration process of the aerator, the aeration real-time detection and analysis is performed to determine whether the aerator is in an aeration deviation state, specifically: the real-time aeration volume and real-time aeration pressure of the aerator are collected, the real-time aeration volume is calculated to be different from the set standard real-time aeration volume and the absolute value is taken to obtain the aeration speed detection value, and the real-time aeration pressure is calculated to be different from the set standard real-time aeration pressure and the absolute value is taken to obtain the aeration pressure detection value, and the aeration speed detection value RS and the aeration pressure detection value RF are numerically calculated by the formula RY=(kp1*RS+kp2*RF) / 2 to obtain the aeration detection value RY; wherein kp1 and kp2 are preset proportional coefficients, and the values ​​of kp1 and kp2 are both positive numbers;

[0040] It should be noted that the larger the value of the aeration condition check value RY is, the less the current aeration condition of the aerator meets the requirements; the aeration condition check value is numerically compared with the preset aeration condition check threshold value. If the aeration condition check value exceeds the preset aeration condition check threshold value, it indicates that the current aeration condition of the aerator does not meet the requirements, and the aerator is judged to be in an aeration operation deviation state; the total duration of the aeration operation deviation state of the aerator in the corresponding aeration process is obtained and marked as the aeration operation deviation time value, and the maximum single duration of the aeration operation deviation state is marked as the aeration operation deviation amplitude; and the aeration duration of the corresponding aeration process is collected, and the deviation value of the aeration duration compared to the set standard aeration duration is marked as the aeration time analysis value;

[0041] By formula The aeration operation deviation time value HY, the aeration operation deviation amplitude value HN and the aeration time segregation value HM are numerically calculated to obtain the aeration segregation value HP, wherein fy1, fy2 and fy3 are preset proportional coefficients, and the values ​​of fy1, fy2 and fy3 are all positive numbers; and the larger the value of the aeration segregation value HP is, the worse the aeration performance of the corresponding aeration process of the aerator is;

[0042] The aeration segregation value HP is numerically compared with the preset aeration segregation threshold. If the aeration segregation value HP exceeds the preset aeration segregation threshold, it indicates that the aeration performance of the corresponding aeration process of the aerator is poor, and an operation deviation abnormality signal is generated; if the aeration segregation value HP does not exceed the preset aeration segregation threshold, it indicates that the aeration performance of the corresponding aeration process of the aerator is good, and an operation deviation normality signal is generated.

[0043] When the aerator is adjusted in height, the lifting stability detection module monitors and analyzes the adjustment process, generates a lifting stability signal or a lifting unstable signal through analysis, and sends the lifting stability signal or the lifting unstable signal to the background management end through the processor, which can effectively monitor the lifting process of the aerator and accurately feedback its lifting performance, so as to conduct abnormal investigation in time and make reasonable improvement measures to ensure the lifting accuracy and stability; the specific operation process of the lifting stability detection module is as follows:

[0044] The height of the aerator is adjusted by the lifting device (it should be noted that the aerator is connected to the lifting device, and the lifting device can adjust the height of the aerator as needed, so that the aerator can adapt to the wastewater treatment needs of different depths). After the lifting process is completed, the final position of the aerator is collected, and the distance value of the final position compared to the set position is marked as the lifting position difference value, wherein the larger the value of the lifting position difference value, the less accurate the lifting result of the corresponding lifting process; the lifting position difference value is compared with the preset lifting position difference threshold value, if the lifting position difference value exceeds the preset lifting position difference threshold value, it indicates that the lifting result of the corresponding lifting process is inaccurate, and a lifting unstable signal is generated;

[0045] If the lifting position deviation value does not exceed the preset lifting position deviation threshold, several detection time points are set in the lifting process, and the lifting speed of the aerator at the corresponding detection time points is collected, and the deviation value of the lifting speed compared with the corresponding standard lifting speed is marked as the lifting speed deviation value, and the lifting speed deviation value is obtained by averaging all the lifting speed deviation values ​​in the lifting process, and the number of lifting speed deviation values ​​exceeding the corresponding preset lifting speed deviation threshold is marked as the lifting abnormality detection value;

[0046] The lifting abnormal value XF is obtained by numerically calculating the lifting position abnormal value XW, the lifting speed abnormal value XN and the lifting abnormal detection value XS through the formula XF=ey1*XW+ey2*XN+ey3*XS, wherein ey1, ey2, ey3 are preset proportional coefficients, and the values ​​of ey1, ey2, ey3 are all positive numbers; and the larger the value of the lifting abnormal value XF is, the worse the lifting performance of the corresponding lifting process is; the lifting abnormal value XF is numerically compared with the preset lifting abnormal threshold value, if the lifting abnormal value XF exceeds the corresponding preset lifting abnormal threshold value, it indicates that the lifting performance of the corresponding lifting process is poor, and a lifting unstable signal is generated; if the lifting abnormal value XF does not exceed the corresponding preset lifting abnormal threshold value, it indicates that the lifting performance of the corresponding lifting process is good, and a lifting stable signal is generated.

[0047] The intelligent control module monitors the water quality and treatment effect of industrial wastewater in real time (such as dissolved oxygen concentration, pH value, sludge concentration, etc.), generates corresponding control instructions according to the monitoring data, and automatically adjusts the operating parameters of the aerator based on the generated control instructions (mainly used to control the aeration volume, aeration pressure, etc.) to ensure that the treatment effect is stable and optimal, and realizes the automatic and reasonable control of the industrial wastewater aeration process. It has a high degree of intelligence, effectively reduces the workload of management personnel and improves the aeration effect;

[0048] The control reaction efficiency inspection module monitors and analyzes the control process of the intelligent control module, generates abnormal adjustment signals or optimization signals through analysis, and sends the abnormal adjustment signals or optimization signals to the background management end through the processor, which is beneficial for the management personnel to grasp the efficiency performance of each automatic control process of the intelligent control module in detail, so as to make corresponding optimization and improvement measures in time to ensure the automatic control performance of the aeration process; the specific operation process of the control reaction efficiency inspection module is as follows:

[0049] The time when the intelligent control module generates the corresponding control instruction is collected and marked as the first time, and the time when the corresponding control operation is completed for the corresponding control instruction is collected and marked as the second time, and the time difference between the first time and the second time is calculated to obtain the instruction execution time value, wherein the larger the value of the instruction execution time value is, the slower the execution efficiency of the corresponding control instruction is;

[0050] The instruction execution status value is numerically compared with the corresponding preset instruction execution status threshold. If the instruction execution status value exceeds the preset instruction execution status threshold, it indicates that the execution efficiency of the corresponding control instruction is slow, and a tuning signal of the corresponding control process is generated; if the instruction execution status value does not exceed the preset instruction execution status threshold, it indicates that the execution efficiency of the corresponding control instruction is fast, and a tuning signal of the corresponding control process is generated.

[0051] Furthermore, when the background management end receives abnormal swing signals, operation deviation storage abnormal signals, lifting unstable signals or adjustment abnormal signals, it will issue corresponding warnings, realize comprehensive and reasonable monitoring and accurate judgment of the aeration process, and can timely and accurately feedback various abnormal conditions of the aeration process, which is conducive to the management personnel to make corresponding improvement measures, and has a high degree of intelligence.

[0052] Embodiment 2: Figure 2 As shown, the difference between this embodiment and embodiment 1 is that the processor is connected to the aeration management evaluation module in communication, and the aeration management evaluation module is used to set an evaluation period, preferably, the evaluation period is ten days; the aeration management performance status within the evaluation period is analyzed, and an aeration management good rating signal or an aeration management bad rating signal is generated through the analysis, and the aeration management good rating signal or the aeration management bad rating signal is sent to the background management end through the processor. When the background management end receives the aeration management bad rating signal, a corresponding warning is issued, so that the management personnel can subsequently strengthen aeration supervision in the industrial wastewater treatment process to ensure the subsequent aeration performance; the specific operation process of the aeration management evaluation module is as follows:

[0053] Obtain the proportion of the number of times the abnormal swing signal is generated within the evaluation period (i.e., the ratio of the number of times the abnormal swing signal is generated to the total number of times the corresponding analysis process is performed), the proportion of the number of times the operation deviation and storage deviation signal is generated, the proportion of the number of times the lifting unstable signal is generated, and the proportion of the number of times the adjustment deviation signal is generated, and mark them as the abnormal swing analysis value, the operation deviation analysis value, the lifting deviation analysis value, and the adjustment deviation analysis value, respectively; and obtain the total duration of aeration within the evaluation period and mark it as the aeration time measurement value;

[0054] By formula The swing analysis value GY, operation analysis value GK, lift analysis value GL, adjustment condition value GP and aeration measurement value GS are numerically calculated to obtain the aeration tube evaluation value GF, wherein g1, g2, g3, g4, g5 are preset proportional coefficients, and the values ​​of g1, g2, g3, g4, g5 are all positive numbers; and the larger the value of the aeration tube evaluation value GF, the worse the aeration performance within the evaluation period is overall; the aeration tube evaluation value GF is numerically compared with the preset aeration tube evaluation threshold value. If the aeration tube evaluation value GF exceeds the preset aeration tube evaluation threshold value, indicating that the aeration performance within the evaluation period is overall poor, then a poor aeration management evaluation signal is generated.

[0055] Further, if the aeration tube evaluation value GF does not exceed the preset aeration tube evaluation threshold, the number of occurrences of aeration termination due to faults within the evaluation period is collected and marked as the aeration termination coefficient, and the recovery time of each aeration termination is marked as the aeration recovery time, the aeration recovery time is numerically compared with the corresponding preset aeration recovery time threshold, and the number of aeration recovery times exceeding the corresponding preset aeration recovery time threshold is marked as the aeration abnormality value, and all aeration recovery times are summed up to obtain the aeration recovery time value;

[0056] The aeration pipe condition value GM is obtained by numerically calculating the aeration pipe evaluation value GF, the aeration termination coefficient PY, the aeration abnormal value MF, and the aeration recovery time value MS through the formula GM=wq1*GF+wq2*PY+wq3*MF+wq4*MS / (wq2+wq3), wherein wq1, wq2, wq3, and wq4 are preset proportional coefficients, and the values ​​of wq1, wq2, wq3, and wq4 are all positive numbers; and the larger the value of the aeration pipe condition value GM is, the more unsatisfactory the aeration is during the evaluation period, and the more timely the corresponding inspection and improvement measures are needed;

[0057] The aeration pipe condition value GM is numerically compared with the preset aeration pipe condition threshold. If the aeration pipe condition value GM exceeds the preset aeration pipe condition threshold, it indicates that the aeration within the evaluation period is not smooth, and it is necessary to strengthen subsequent supervision and take corresponding inspection and improvement measures, then a poor aeration management rating signal is generated; if the aeration pipe condition value GM does not exceed the preset aeration pipe condition threshold, it indicates that the aeration within the evaluation period is relatively smooth, then a good aeration management rating signal is generated.

[0058] The working principle of the present invention is as follows: when in use, the position change of the aerator is analyzed by the aerator position detection module, and the position performance of the aerator can be reasonably analyzed and accurately judged to ensure the position accuracy and position rationality of the aerator. The aerator deviation analysis module analyzes the operation deviation of the aerator to accurately judge the operation performance of the aerator. The lifting stability detection module monitors and analyzes the lifting process to generate a lifting stability signal or a lifting unstable signal, and can effectively monitor the lifting process of the aerator and accurately feedback its lifting performance. The intelligent control module monitors the water quality and treatment effect of industrial wastewater in real time and automatically adjusts the operating parameters of the aerator to achieve automatic and reasonable control during the aeration process of industrial wastewater. The control reaction effect inspection module monitors and analyzes the control process of the intelligent control module and judges its control efficiency performance, so as to timely make corresponding optimization and improvement measures to ensure the automatic control performance of the aeration process, realize comprehensive and reasonable monitoring and accurate judgment of the aeration process, and can timely and accurately feedback various abnormal conditions of the aeration process, which is conducive to the management personnel to make corresponding improvement measures in a targeted manner, and ensure the aeration effect during the treatment of industrial wastewater, with a high degree of intelligence.

[0059] The above formulas are all dimensionless and numerical calculations. The formula is a formula obtained by collecting a large amount of data and performing software simulation to obtain the most recent real situation. The preset parameters in the formula are set by technicians in this field according to actual conditions. The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the contents of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that technicians in the relevant technical field can understand and use the present invention well. The present invention is only limited by the claims and their full scope and equivalents.

Claims

1. A method for aerating industrial wastewater by lift type, characterized in that: It includes a processor, an aerator position swing detection module, an aerator deviation analysis module, an improvement stability detection module, an intelligent control module, a control reaction effect detection module and a background management terminal; the aerator position swing detection module is used to analyze the position change of the aerator during the working process of the aerator, generate a micro-swing signal or an abnormal swing signal through the analysis, and send the micro-swing signal or the abnormal swing signal to the background management terminal through the processor; The aerator operation deviation analysis module is used to analyze the operation deviation status of the aerator, and generate an operation deviation error signal or an operation deviation normal signal through analysis, and send the operation deviation error signal or the operation deviation normal signal to the background management end through the processor; when the aerator is height-adjusted, the lifting stability detection module monitors and analyzes the adjustment process, and generates a lifting stability signal or a lifting unstable signal through analysis, and sends the lifting stability signal or the lifting unstable signal to the background management end through the processor; The intelligent control module monitors the water quality and treatment effect of industrial wastewater in real time, generates corresponding control instructions according to the monitoring data, and automatically adjusts the operating parameters of the aerator based on the generated control instructions. The control reaction efficiency inspection module monitors and analyzes the control process of the intelligent control module, generates abnormal adjustment signals or tuning signals through analysis, and sends the abnormal adjustment signals or tuning signals to the background management end through the processor; the background management end issues corresponding warnings when receiving abnormal swing signals, abnormal operation deviation signals, unstable lifting signals or abnormal adjustment signals; The processor is in communication connection with the aeration management evaluation module, and the aeration management evaluation module is used to set an evaluation period, analyze the aeration management performance status within the evaluation period, generate an aeration management good rating signal or an aeration management bad rating signal through the analysis, and send the aeration management good rating signal or the aeration management bad rating signal to the background management end through the processor; Obtain the proportion of the number of times the abnormal swing signal is generated, the proportion of the number of times the operation deviation is generated, the proportion of the number of times the unstable lifting signal is generated, and the proportion of the number of times the adjustment deviation signal is generated in the evaluation period, and mark them as the abnormal swing analysis value, the operation deviation analysis value, the lifting deviation analysis value, and the adjustment deviation analysis value, respectively, and obtain the total duration of aeration in the evaluation period and mark it as the aeration time measurement value; By formula The swing error analysis value GY, the operation error analysis value GK, the lifting error analysis value GL, the adjustment error analysis value GP and the aeration time measurement value GS are numerically calculated to obtain the aeration tube evaluation value GF, wherein g1, g2, g3, g4, g5 are preset proportional coefficients, and the values ​​of g1, g2, g3, g4, g5 are all positive numbers; the aeration tube evaluation value is numerically compared with the preset aeration tube evaluation threshold value, and if the aeration tube evaluation value exceeds the preset aeration tube evaluation threshold value, an aeration management poor evaluation signal is generated; If the aeration tube evaluation value does not exceed the preset aeration tube evaluation threshold, the number of occurrences of aeration termination due to faults during the evaluation period is collected and marked as the aeration termination coefficient, and the recovery time of each aeration termination is marked as the aeration recovery time, and the number of aeration recovery times exceeding the corresponding preset aeration recovery time threshold is marked as the aeration abnormality value, and all aeration recovery times are summed up to obtain the aeration recovery time value; The aeration pipe evaluation value GF, aeration termination coefficient PY, aeration complex value MF, and aeration recovery time value MS are numerically calculated using the formula GM=wq1*GF+wq2*PY+wq3*MF+wq4*MS / (wq2+wq3), where wq1, wq2, wq3, and wq4 are preset proportional coefficients, and the values ​​of wq1, wq2, wq3, and wq4 are all positive numbers; the aeration pipe condition value is numerically compared with the preset aeration pipe condition threshold value. If the aeration pipe condition value exceeds the preset aeration pipe condition threshold value, an aeration management poor evaluation signal is generated; if the aeration pipe condition value does not exceed the preset aeration pipe condition threshold value, an aeration management good evaluation signal is generated.

2. The method for aerating industrial wastewater according to claim 1, characterized in that ,The specific operation process of the aerator position detection module includes: The real-time position of the aerator at the corresponding moment is collected, and the distance between the real-time position and the set initial position is calculated to obtain the aerator swing distance value, and the average of all the aerator swing distance values ​​in the unit time is calculated to obtain the aerator swing condition value, and the number of aerator swing distance values ​​exceeding the preset aerator swing distance threshold in the unit time is marked as the aerator abnormal swing value; and the real-time position of two adjacent groups of moments is calculated to obtain the real-time fluctuation value, and the number of real-time fluctuation values ​​exceeding the preset real-time fluctuation threshold in the unit time is marked as the fluctuation abnormal condition value; By formula The aerator swing value QW, the aerator abnormal swing value QR and the fluctuation abnormal condition value QY are numerically calculated to obtain the aerator swing value QF, wherein b1, b2 and b3 are preset proportional coefficients, and the values ​​of b1, b2 and b3 are all positive numbers; if the aerator swing value exceeds the preset aerator swing threshold, an abnormal swing signal is generated; if the aerator swing value does not exceed the preset aerator swing threshold, a micro-swing signal is generated.

3. The method for aerating industrial wastewater by lift type according to claim 1, characterized in that: The specific operation process of the aerator deviation analysis module includes: During the corresponding aeration process of the aerator, real-time aeration detection and analysis is performed to determine whether the aerator is in an aeration deviation state, the total duration of the aerator being in the aeration deviation state during the corresponding aeration process is obtained and marked as the aeration deviation time value, and the maximum single duration of the aeration deviation state is marked as the aeration deviation amplitude value; And the aeration time of the corresponding aeration process is collected, and the deviation value of the aeration time compared with the set standard aeration time is marked as the aeration time analysis value; By formula The aeration operation deviation time value HY, the aeration operation deviation amplitude value HN and the aeration time separation value HM are numerically calculated to obtain the aeration segregation value HP, wherein fy1, fy2, and fy3 are preset proportional coefficients, and the values ​​of fy1, fy2, and fy3 are all positive numbers; if the aeration segregation value exceeds the preset aeration segregation threshold, an operation deviation abnormality signal is generated; if the aeration segregation value does not exceed the preset aeration segregation threshold, an operation deviation normality signal is generated.

4. The method for aerating industrial wastewater by lift type according to claim 3, characterized in that: The specific analysis process of aeration real-time detection and analysis is as follows: The real-time aeration volume and real-time aeration pressure of the aerator are collected, the difference between the real-time aeration volume and the set standard real-time aeration volume is calculated and the absolute value is taken to obtain the aeration speed detection value, and the difference between the real-time aeration pressure and the set standard real-time aeration pressure is calculated and the absolute value is taken to obtain the aeration pressure detection value, and the aeration speed detection value RS and the aeration pressure detection value RF are numerically calculated by the formula RY=(kp1*RS+kp2*RF) / 2 to obtain the aeration detection value RY; wherein, kp1 and kp2 are preset proportional coefficients, and the values ​​of kp1 and kp2 are both positive numbers; if the aeration detection value exceeds the preset aeration detection threshold, it is judged that the aerator is in the aeration deviation state.

5. The method for aerating industrial wastewater by lift type according to claim 1, characterized in that: The specific operation process of improving the stability detection module includes: The height of the aerator is adjusted by the lifting device. After the lifting process is completed, the final position of the aerator is collected, and the distance value between the final position and the set position is marked as the lifting position difference value. If the lifting position difference value exceeds the preset lifting position difference threshold, a lifting unstable signal is generated. If the boost abnormal value does not exceed the preset boost abnormal threshold, the boost abnormal value XW, the boost speed abnormal value XN and the boost abnormal detection value XS are numerically calculated by the formula XF=ey1*XW+ey2*XN+ey3*XS to obtain the boost abnormal value XF, wherein ey1, ey2, ey3 are preset proportional coefficients, and the values ​​of ey1, ey2, ey3 are all positive numbers; if the boost abnormal value exceeds the corresponding preset boost abnormal threshold, a boost unstable signal is generated; if the boost abnormal value does not exceed the corresponding preset boost abnormal threshold, a boost stable signal is generated.

6. The method for aerating industrial wastewater by lift type according to claim 1, characterized in that: The specific operation process of the control reaction effectiveness inspection module includes: The moment when the intelligent management and control module generates the corresponding control instruction is collected and marked as the first moment, and the moment when the corresponding control operation is completed for the corresponding control instruction is collected and marked as the second moment, and the time difference between the first moment and the second moment is calculated to obtain the instruction execution status value. If the instruction execution status value exceeds the preset instruction execution status threshold, a tuning signal of the corresponding control process is generated; if the instruction execution status value does not exceed the preset instruction execution status threshold, a tuning signal of the corresponding control process is generated.

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