Intelligent aeration control device and method based on multi-parameter fusion

Abstract

The application relates to the technical field of aeration quantity control systems, and discloses an intelligent aeration control device and method based on multi-parameter fusion, which mainly comprises a sensor module, a data acquisition module, a control module, an adjusting module and a display module. The sensor module monitors water quality parameters and flow information in real time, the data acquisition module is responsible for data collection and transmission, the control module processes data and makes decisions according to a preset algorithm, the adjusting module adjusts the aeration quantity according to the control instruction, and the display module displays the system operation state and monitoring data in real time. The aeration quantity can be automatically adjusted to adapt to the aeration demand under different water quality and flow conditions, manual frequent intervention is not needed, the automation level and intelligent degree of the system are improved, the display module displays the system operation state and monitoring data in real time, so that an operator can intuitively understand the system working condition, abnormal conditions can be found in time and corresponding measures can be taken.

Description

Technical Field

[0001] This invention relates to the field of aeration volume control system technology, specifically to an intelligent aeration control device and method based on multi-parameter fusion. Background Technology

[0002] Aeration is a crucial step in modern wastewater treatment. It introduces air into the wastewater, promoting the growth and reproduction of aerobic microorganisms, thereby effectively decomposing organic matter in the wastewater. However, traditional aeration methods often have problems, such as difficulty in precisely controlling the aeration rate, leading to energy waste and unstable wastewater treatment results.

[0003] With the continuous development of technology, intelligent technologies are being applied more and more widely in the field of wastewater treatment. The emergence of intelligent aeration control systems is precisely to address the shortcomings of traditional aeration methods. This system integrates multiple modules such as sensors, data acquisition, control, regulation, and display to achieve precise control and real-time monitoring of the aeration process.

[0004] In terms of background technology, traditional aeration control methods mainly rely on manual experience or simple timer control. This approach is not only inefficient but also difficult to adapt to the complex and ever-changing wastewater treatment environment. Furthermore, due to the lack of precise monitoring methods, it is difficult to detect and resolve problems in the aeration process in a timely manner, leading to unstable wastewater treatment results.

[0005] Therefore, developing intelligent aeration control devices and methods based on multi-parameter fusion is particularly important. This system can monitor water quality parameters and flow information in real time, process and make decisions through preset algorithms, and automatically adjust the aeration rate to achieve the best wastewater treatment effect. Simultaneously, the system can also display the operating status and monitoring data in real time, allowing operators to easily understand the system's operation and make timely adjustments and maintenance.

[0006] In summary, the background technology of intelligent aeration control systems is mainly proposed to address the shortcomings of traditional aeration methods. By introducing intelligent technology, precise control and real-time monitoring of the aeration process can be achieved, improving wastewater treatment efficiency and quality while reducing energy consumption and operating costs. Summary of the Invention

[0007] The purpose of this invention is to provide an intelligent aeration control device and method based on multi-parameter fusion to solve the problems mentioned in the background art.

[0008] To achieve the above objectives, the present invention provides the following technical solution: an intelligent aeration control device and method based on multi-parameter fusion, comprising a sensor module, a data acquisition module, a control module, an adjustment module, and a display module; The sensor module is connected to the data acquisition module, the data acquisition module is connected to the control module, the control module is connected to the adjustment module, and the adjustment module is connected to the display module. The sensor module is used to monitor water quality parameters and flow information in real time; The data acquisition module is used to collect and transmit the data acquired by the sensor module; The control module is used to receive data transmitted by the data acquisition module and process and make decisions according to a preset algorithm; The adjustment module is used to adjust the aeration volume according to the instructions of the control module; The display module is used to show the operating status and monitoring data.

[0009] Preferably, the sensor module described above includes a dissolved oxygen sensor, a chemical oxygen demand sensor, a flow sensor, and a temperature sensor. The dissolved oxygen sensor is used to monitor the dissolved oxygen concentration in the water. The chemical oxygen demand sensor is used to monitor the chemical oxygen demand in water bodies. The flow sensor is used to monitor the flow rate of the water body; The temperature sensor is used to monitor the temperature of the water.

[0010] Preferably, the control module described above includes a processor, an algorithm unit, and a database unit; The processor is used to process the received data; The algorithm unit is used to calculate the required aeration volume based on the control algorithm and the energy-saving optimization algorithm. The database unit is used to store historical data and algorithm parameters.

[0011] Preferably, the aforementioned regulating module includes a blower, a pressure sensor, a gas flow regulating valve, a gas flow meter, and an aeration pipe. The blower is used to provide the gas required for aeration; The pressure sensor is used to monitor the gas pressure output by the blower; The gas flow regulating valve is used to regulate the gas flow according to the instructions of the control module; The gas flow meter is used to monitor the actual gas flow rate; The aeration pipe is used to transport gas to the aeration point.

[0012] Preferably, the aeration rate (Q) of the control algorithm described above is calculated using the following formula:

[0013] Where e(t) is the error at time t, and K p For proportional gain, K i For integral gain, K d For differential gain, The integral part of e(t)dt represents the cumulative error over time t. The differential part of the error represents the rate of change of the error over time.

[0014] Preferably, the energy consumption (E) calculation formula of the energy-saving optimization algorithm described above is:

[0015] Where P(t) is the power consumed at time t, T is the running time, and d is the small change in the integral variable.

[0016] Preferably, the calculation of aeration oxygen demand in the processor includes calculating the aeration volume based on oxygen demand (Q1), calculating the aeration volume based on the air-to-water ratio (Q2), and calculating the aeration volume based on the dissolved oxygen concentration of the mixed liquor (Q3). The formula for calculating the aeration rate (Q1) based on oxygen demand is as follows:

[0017] Where O2 is the oxygen demand of wastewater, 0.28 is the oxygen content in the air per cubic meter, and E... A The oxygen transfer efficiency of the aeration equipment.

[0018] Preferably, the formula for calculating the aeration rate (Q2) based on the air-to-water ratio is as follows:

[0019] Where q is the air-to-water ratio, Q w This refers to the sewage flow rate.

[0020] Preferably, the formula for calculating the aeration rate (Q3) based on the dissolved oxygen concentration of the mixed liquor is as follows:

[0021] Where K is the oxygen transfer coefficient, V is the aeration tank volume, and C s C represents the saturated dissolved oxygen concentration of the mixed liquor in the aeration tank under certain temperature and pressure, and E represents the actual dissolved oxygen concentration of the mixed liquor in the aeration tank. A The oxygen transfer efficiency of the aeration equipment.

[0022] This invention also provides an aeration volume control method based on a multi-parameter fusion intelligent aeration control device and method, comprising the following steps: S1. The dissolved oxygen sensor, chemical oxygen demand sensor, flow sensor, and temperature sensor in the sensor module monitor the dissolved oxygen concentration, chemical oxygen demand, flow rate, and temperature in the water body in real time. S2. The data acquisition module collects the data acquired by the sensor module and performs preliminary processing. S3. The data acquisition module transmits the processed data to the control module; S4. The processor in the control module receives the data transmitted by the data acquisition module, and the processor transmits the processed data to the algorithm unit to calculate the aeration volume. S5. The control module sends an instruction to the adjustment module to adjust the aeration volume based on the decision result of the algorithm unit. S6, the display module shows the system's operating status and monitoring data in real time.

[0023] Compared with the prior art, the present invention, employing the above technical solution, has the following technical effects: First, by using dissolved oxygen sensors, chemical oxygen demand sensors, flow sensors, and temperature sensors, various key parameters of the water body can be monitored in real time and comprehensively. Based on these accurate parameters, the control module can perform precise processing and decision-making according to preset algorithms, thereby achieving precise adjustment of the aeration rate. This makes the aeration process more in line with actual needs, improving treatment efficiency and stability. The control module can reasonably adjust the aeration rate based on the algorithm results, while meeting aeration requirements, avoiding unnecessary energy waste, reducing operating costs, and achieving energy-saving goals.

[0024] Second, the algorithm unit of the control module combines control algorithms and energy-saving optimization algorithms, which can perform intelligent calculations and decisions based on real-time monitoring data and preset parameters. It can automatically adjust the aeration volume to adapt to the aeration needs under different water quality and flow conditions without frequent manual intervention, thus improving the automation and intelligence level of the system. The display module displays the system's operating status and monitoring data in real time, enabling operators to intuitively understand the system's working status, promptly detect abnormalities, and take corresponding measures. Attached Figure Description

[0025] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0026] Figure 1 This is a system flowchart of the present invention; Figure 2 This is a flowchart of the sensor module of the present invention; Figure 3 This is a flowchart of the control module of the present invention. Detailed Implementation

[0027] 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.

[0028] It should be noted that the structures, proportions, sizes, etc., shown in the accompanying drawings of this specification are only for the purpose of assisting those skilled in the art in understanding and reading the content disclosed in the specification, and are not intended to limit the conditions under which this application can be implemented. Therefore, they have no substantial technical significance. Any modifications to the structure, changes in the proportions, or adjustments to the size should still fall within the scope of the technical content disclosed in this application, provided that they do not affect the effects and purposes that this application can produce.

[0029] Example

[0030] Please see Figure 1-3 The present invention provides a technical solution: an intelligent aeration control device and method based on multi-parameter fusion, comprising a sensor module, a data acquisition module, a control module, an adjustment module and a display module; The sensor module is connected to the data acquisition module, the data acquisition module is connected to the control module, the control module is connected to the adjustment module, and the adjustment module is connected to the display module. The sensor module is used to monitor water quality parameters and flow information in real time; The sensor module includes a dissolved oxygen sensor, a chemical oxygen demand sensor, a flow sensor, and a temperature sensor; Dissolved oxygen sensors are used to monitor the concentration of dissolved oxygen in water; they capture changes in the concentration of dissolved oxygen in water and provide dissolved oxygen data.

[0031] Chemical oxygen demand (COD) sensor is used to monitor the COD level in water bodies. Flow sensors are used to monitor the flow rate of water bodies; Temperature sensors are used to monitor the temperature of water bodies.

[0032] The data acquisition module is used to collect and transmit data acquired by the sensor module; it performs preprocessing such as filtering and noise reduction before data transmission to improve data quality. Filtering is a crucial step, effectively removing high-frequency noise and random fluctuations from the data, making it smoother and more stable. Simultaneously, denoising identifies and corrects outliers and erroneous values, ensuring the data's authenticity and reliability. Through these preprocessing measures, the data acquisition module significantly improves data quality, providing a solid foundation for subsequent data analysis and decision-making.

[0033] The control module receives data transmitted from the data acquisition module and processes and makes decisions based on preset algorithms; it can automatically adjust control parameters according to factors such as water quality changes and seasonal changes to achieve intelligent adjustment of aeration volume. The control module is the core brain of the intelligent aeration control system. It is responsible for receiving data transmitted from the data acquisition module and processing and making decisions according to the preset algorithm.

[0034] The control module has strong adaptive capabilities, automatically adjusting control parameters based on changes in water quality, seasonal changes, and other relevant factors. For example, in summer when water temperature is high and dissolved oxygen content is low, the control module will automatically increase aeration to ensure sufficient oxygen content in the water; while in winter when water temperature is low and dissolved oxygen content is high, it will correspondingly reduce aeration to save energy and reduce costs.

[0035] The control module includes a processor, an algorithm unit, and a database unit; The control module can perform in-depth analysis, reasoning, and decision-making on the data transmitted from the processor according to different application scenarios and needs. For example, in an automatic control system, the algorithm unit can adjust control parameters based on real-time data to achieve stable system operation; in the field of data analysis, the algorithm unit can uncover potential patterns in the data, providing strong support for decision-making.

[0036] A processor is used to process the received data; The processor calculates the aeration oxygen demand by calculating the aeration volume (Q1) based on the oxygen demand, the aeration volume (Q2) based on the air-to-water ratio, and the aeration volume (Q3) based on the dissolved oxygen concentration of the mixed liquor. The formula for calculating the aeration rate (Q1) based on oxygen demand is as follows:

[0037] Where O2 is the oxygen demand of wastewater, 0.28 is the oxygen content in the air per cubic meter, and E... A The oxygen transfer efficiency of the aeration equipment.

[0038] The formula for calculating the aeration rate (Q2) based on the air-to-water ratio is as follows:

[0039] Where q is the air-to-water ratio, Q w This refers to the sewage flow rate.

[0040] The formula for calculating the aeration rate (Q3) based on the dissolved oxygen concentration of the mixed liquor is as follows:

[0041] Where K is the oxygen transfer coefficient, V is the aeration tank volume, and C s C represents the saturated dissolved oxygen concentration of the mixed liquor in the aeration tank under certain temperature and pressure, and E represents the actual dissolved oxygen concentration of the mixed liquor in the aeration tank. A The oxygen transfer efficiency of the aeration equipment.

[0042] The algorithm unit is used to calculate the required aeration volume based on the control algorithm and the energy-saving optimization algorithm; The aeration rate (Q) of the control algorithm is calculated using the following formula:

[0043] Where e(t) is the error at time t, and K p For proportional gain, K i For integral gain, K d For differential gain, The integral part of e(t)dt represents the cumulative error over time t. The differential part of the error represents the rate of change of the error over time.

[0044] The energy consumption (E) calculation formula for the energy-saving optimization algorithm is as follows:

[0045] Where P(t) is the power consumed at time t, T is the running time, and d is the small change in the integral variable.

[0046] The database unit stores historical data and algorithm parameters. It is responsible for storing various data generated during system operation, including historical data, real-time data, and configuration parameters. The database unit has efficient data retrieval and query functions, enabling other units to quickly obtain the data they need.

[0047] The adjustment module is used to adjust the aeration volume according to the instructions of the control module; The control module includes a blower, a pressure sensor, a gas flow regulating valve, a gas flow meter, and aeration pipes; Blowers are used to provide the gas needed for aeration; A pressure sensor is used to monitor the gas pressure output by the blower; A gas flow regulating valve is used to regulate the gas flow according to instructions from the control module. A gas flow meter is used to monitor the actual gas flow rate; it measures the gas flow rate through the pipeline in real time and transmits the data to the control module.

[0048] Aeration pipes are used to transport gas to the aeration point.

[0049] The display module is used to show the operating status and monitoring data. When the system malfunctions or fails, the display module will promptly issue an alarm and display corresponding handling suggestions.

[0050] This invention also provides an aeration volume control method based on a multi-parameter fusion intelligent aeration control device and method, comprising the following steps: S1. The dissolved oxygen sensor, chemical oxygen demand sensor, flow sensor, and temperature sensor in the sensor module monitor the dissolved oxygen concentration, chemical oxygen demand, flow rate, and temperature in the water body in real time. S2. The data acquisition module collects the data acquired by the sensor module and performs preliminary processing. S3. The data acquisition module transmits the processed data to the control module; S4. The processor in the control module receives the data transmitted by the data acquisition module, and the processor transmits the processed data to the algorithm unit to calculate the aeration volume. S5. The control module sends an instruction to the adjustment module to adjust the aeration volume based on the decision result of the algorithm unit. S6, the display module shows the system's operating status and monitoring data in real time.

[0051] In summary, by using dissolved oxygen sensors, chemical oxygen demand (COD) sensors, flow sensors, and temperature sensors, various key parameters of the water body can be monitored in real time and comprehensively. Based on these accurate parameters, the control module can perform precise processing and decision-making according to preset algorithms, thereby achieving precise adjustment of the aeration rate. This makes the aeration process more in line with actual needs, improving treatment efficiency and stability. The control module can reasonably adjust the aeration rate based on the algorithm results, while meeting aeration requirements, avoiding unnecessary energy waste, reducing operating costs, and achieving energy-saving goals.

[0052] By combining control algorithms and energy-saving optimization algorithms through the algorithm unit of the control module, intelligent calculations and decisions can be made based on real-time monitoring data and preset parameters. The aeration volume can be automatically adjusted to adapt to the aeration needs under different water quality and flow conditions without frequent manual intervention, thus improving the automation and intelligence level of the system. The display module shows the system's operating status and monitoring data in real time, enabling operators to intuitively understand the system's working status, promptly detect abnormalities, and take corresponding measures.

[0053] Those skilled in the art will understand that the features described in the various embodiments and / or claims of the present invention can be combined or combined in various ways, even if such combinations or combinations are not explicitly described in the present invention. In particular, the features described in the various embodiments and / or claims of the present invention can be combined or combined in various ways without departing from the spirit and teachings of the present invention. All such combinations and / or combinations fall within the scope of the present invention.

Claims

1. An intelligent aeration control device and method based on multi-parameter fusion, characterized in that, It includes a sensor module, a data acquisition module, a control module, an adjustment module, and a display module; The sensor module is connected to the data acquisition module, the data acquisition module is connected to the control module, the control module is connected to the adjustment module, and the adjustment module is connected to the display module. The sensor module is used to monitor water quality parameters and flow information in real time. The data acquisition module is used to collect and transmit the data obtained by the sensor module. The control module is responsible for receiving data transmitted by the data acquisition module and processing and making decisions based on a preset algorithm. The adjustment module is used to adjust the aeration volume according to the instructions of the control module. The display module is used to show the operating status and monitoring data.

2. The intelligent aeration control device and method based on multi-parameter fusion according to claim 1, characterized in that: The sensor module includes a dissolved oxygen sensor, a chemical oxygen demand sensor, a flow sensor, and a temperature sensor; The dissolved oxygen sensor is used to monitor the dissolved oxygen concentration in the water. The chemical oxygen demand sensor is used to monitor the chemical oxygen demand in water bodies. The flow sensor is used to monitor the flow rate of the water body; The temperature sensor is used to monitor the temperature of the water.

3. The intelligent aeration control device and method based on multi-parameter fusion according to claim 1, characterized in that: The control module includes a processor, an algorithm unit, and a database unit; The processor is used to process the received data; The algorithm unit is used to calculate the required aeration volume based on the control algorithm and the energy-saving optimization algorithm. The database unit is used to store historical data and algorithm parameters.

4. The intelligent aeration control device and method based on multi-parameter fusion according to claim 1, characterized in that: The regulating module includes a blower, a pressure sensor, a gas flow regulating valve, a gas flow meter, and an aeration pipe; The blower is used to provide the gas required for aeration. The pressure sensor is used to monitor the pressure of the gas output by the blower. The gas flow regulating valve is used to regulate the gas flow according to the instructions of the control module. The gas flow meter is used to monitor the actual gas flow rate. The function of the aeration pipe is to transport gas to the aeration point.

5. The intelligent aeration control device and method based on multi-parameter fusion according to claim 3, characterized in that: The aeration rate (Q) of the control algorithm is calculated using the following formula: Where e(t) is the error at time t, and K p For proportional gain, K i For integral gain, K d For differential gain, The integral part of e(t)dt represents the cumulative error over time t. The differential part of the error represents the rate of change of the error over time.

6. The intelligent aeration control device and method based on multi-parameter fusion according to claim 3, characterized in that: The energy consumption (E) calculation formula of the energy-saving optimization algorithm is as follows: Where P(t) is the power consumed at time t, T is the running time, and d is the small change in the integral variable.

7. The intelligent aeration control device and method based on multi-parameter fusion according to claim 3, characterized in that: The processor calculates the aeration oxygen demand by calculating the aeration volume (Q1) based on the oxygen demand, the aeration volume (Q2) based on the air-to-water ratio, and the aeration volume (Q3) based on the dissolved oxygen concentration of the mixed liquor. The formula for calculating the aeration rate (Q1) based on oxygen demand is as follows: Where O2 is the oxygen demand of wastewater, 0.28 is the oxygen content in the air per cubic meter, and E... A The oxygen transfer efficiency of the aeration equipment.

8. The intelligent aeration control device and method based on multi-parameter fusion according to claim 7, characterized in that: The formula for calculating the aeration rate (Q2) based on the air-to-water ratio is as follows: Where q is the air-to-water ratio, Q w This refers to the sewage flow rate.

9. The intelligent aeration control device and method based on multi-parameter fusion according to claim 7, characterized in that: The formula for calculating the aeration rate (Q3) based on the dissolved oxygen concentration of the mixed liquor is as follows: Where K is the oxygen transfer coefficient, V is the aeration tank volume, and C s C represents the saturated dissolved oxygen concentration of the mixed liquor in the aeration tank under certain temperature and pressure, and E represents the actual dissolved oxygen concentration of the mixed liquor in the aeration tank. A The oxygen transfer efficiency of the aeration equipment.

10. The aeration volume control method of the intelligent aeration control device and method based on multi-parameter fusion according to any one of claims 1-9, characterized in that, Includes the following steps: S1. The dissolved oxygen sensor, chemical oxygen demand sensor, flow sensor, and temperature sensor in the sensor module monitor the dissolved oxygen concentration, chemical oxygen demand, flow rate, and temperature in the water body in real time. S2. The data acquisition module collects the data acquired by the sensor module and performs preliminary processing. S3. The data acquisition module transmits the processed data to the control module; S4. The processor in the control module receives the data transmitted by the data acquisition module, and the processor transmits the processed data to the algorithm unit to calculate the aeration volume. S5. The control module sends an instruction to the adjustment module to adjust the aeration volume based on the decision result of the algorithm unit. S6, the display module shows the system's operating status and monitoring data in real time.

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