Intelligent aeration rate control system and aeration rate control method

Abstract

The invention relates to the technical field of aeration rate control systems, and discloses an intelligent aeration rate control system and an aeration rate control method, and the system comprises a sensor module, a data acquisition module, a control module, an adjustment module and a display module. The sensor module is connected with the data acquisition module, the data acquisition module is connected with the control module, the control module is connected with the adjusting module, and the adjusting module is connected with the display module; an algorithm unit of the control module is combined with a control algorithm and an energy-saving optimization algorithm, intelligent calculation and decision can be carried out according to real-time monitoring data and preset parameters, the aeration rate can be automatically adjusted to adapt to aeration requirements under different water quality and flow conditions, frequent manual intervention is not needed, and the aeration efficiency is improved. The automation level and the intelligent degree of the system are improved, and the display module displays the operation state and the monitoring data of the system in real time, so that an operator can visually know the working condition of the system, discover abnormal conditions in time and take corresponding measures.

Description

Technical Field

[0001] The present invention relates to the technical field of aeration control systems, and particularly to an intelligent aeration control system and an aeration control method. Background Art

[0002] Aeration refers to the process of forcibly transferring oxygen in the air to the liquid, with the aim of obtaining sufficient dissolved oxygen. In addition, aeration also serves to prevent the suspension in the pool from sinking and to enhance the contact between the organic matter in the pool, microorganisms, and dissolved oxygen. Thus, it ensures that the microorganisms in the pool can oxidize and decompose the organic matter in the sewage under the condition of sufficient dissolved oxygen.

[0003] In the process of water treatment, aeration is a key link to ensure sufficient dissolved oxygen content in the water body, promote microbial activities, and accelerate the decomposition of organic matter. Traditional aeration control systems often rely on empirical settings or simple feedback control, and it is difficult to accurately adapt to the dynamic changes of water quality and flow rate, resulting in excessive or insufficient aeration volume, which not only affects the treatment effect but also causes energy waste. Therefore, an intelligent aeration control system and an aeration control method are proposed. Summary of the Invention

[0004] The purpose of the present invention is to provide an intelligent aeration control system and an aeration control method to solve the problems raised in the above background art.

[0005] To achieve the above purpose, the present invention provides the following technical solution: An intelligent aeration control system includes a sensor module, a data acquisition module, a control module, an adjustment module, and a display module;

[0006] 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;

[0007] The sensor module is used to monitor water quality parameters and flow information in real time;

[0008] The data acquisition module is used to collect and transmit the data obtained by the sensor module;

[0009] The control module is used to receive the data transmitted by the data acquisition module and perform processing and decision-making according to a preset algorithm;

[0010] The adjustment module is used to adjust the aeration volume according to the instructions of the control module;

[0011] The display module is used to display the operating status and monitoring data.

[0012] Preferably, the above-mentioned sensor module includes a dissolved oxygen sensor, a chemical oxygen demand sensor, a flow sensor, and a temperature sensor;

[0013] The dissolved oxygen sensor is used to monitor the dissolved oxygen concentration in the water body;

[0014] The chemical oxygen demand sensor is used to monitor the chemical oxygen demand in the water body;

[0015] The flow sensor is used to monitor the flow rate of the water body;

[0016] The temperature sensor is used to monitor the temperature of the water body.

[0017] Preferably, the above-mentioned control module includes a processor, an algorithm unit, and a database unit;

[0018] The processor is used to process the received data;

[0019] The algorithm unit is used to calculate the required aeration volume according to the control algorithm and the energy-saving optimization algorithm;

[0020] The database unit is used to store historical data and algorithm parameters.

[0021] Preferably, the above-mentioned regulation module includes a blower, a pressure sensor, a gas flow regulating valve, a gas flow meter, and an aeration pipeline;

[0022] The blower is used to provide the gas required for aeration;

[0023] The pressure sensor is used to monitor the gas pressure output by the blower;

[0024] The gas flow regulating valve is used to regulate the gas flow according to the instructions of the control module;

[0025] The gas flow meter is used to monitor the actual gas flow;

[0026] The aeration pipeline is used to transport the gas to the aeration point.

[0027] Preferably, the calculation formula for the aeration volume (Q) of the above-mentioned control algorithm is as follows:

[0028]

[0029] where e(t) is the error at time t, K p is the proportional gain, K i is the integral gain, K d is the differential gain, ∫e(t)dt is the integral part, indicating the cumulative error over time within time t, is the differential part of the error, indicating the rate of change of the error over time.

[0030] Preferably, the formula for calculating the energy consumption (E) of the above energy-saving optimization algorithm is:

[0031]

[0032] where P(t) is the power consumption at time t, T is the running time, and d is a small change in the integration variable.

[0033] Preferably, in the above: calculating the aeration oxygen demand in the processor includes calculating the aeration volume (Q1) according to the oxygen demand, calculating the aeration volume (Q2) according to the air-water ratio, and calculating the aeration volume (Q3) according to the dissolved oxygen concentration of the mixed liquor;

[0034] The formula for calculating the aeration volume (Q1) according to the oxygen demand is:

[0035]

[0036] where O2 is the oxygen demand of the sewage, 0.28 is the oxygen content in each cubic meter of air, and E A is the oxygen transfer efficiency of the aeration equipment.

[0037] Preferably, in the above: the formula for calculating the aeration volume (Q2) according to the air-water ratio is:

[0038] Q2 = q × Q w

[0039] where q is the air-water ratio and Q w is the sewage flow rate.

[0040] Preferably, in the above: the formula for calculating the aeration volume (Q3) according to the dissolved oxygen concentration of the mixed liquor is:

[0041]

[0042] where K is the oxygen transfer coefficient, V is the volume of the aeration tank, and C s is the saturated dissolved oxygen concentration of the mixed liquor in the aeration tank at a certain temperature and pressure, C is the actual dissolved oxygen concentration of the mixed liquor in the aeration tank, and E A is the oxygen transfer efficiency of the aeration equipment.

[0043] The present invention also provides an aeration volume control method for an intelligent aeration volume control system, including the following steps:

[0044] S1. The dissolved oxygen sensor, chemical oxygen demand sensor, flow sensor, and temperature sensor in the sensor module real-time monitor the dissolved oxygen concentration, chemical oxygen demand, flow rate, and temperature in the water body;

[0045] S2. The data acquisition module collects the data obtained by the sensor module and performs preliminary processing;

[0046] S3. The data acquisition module transmits the processed data to the control module;

[0047] S4. The processor in the control module receives the data transmitted by the data acquisition module, and the processor passes the processed data to the algorithm unit for aeration volume calculation;

[0048] S5. The control module sends an instruction to adjust the aeration volume to the adjustment module according to the decision result of the algorithm unit;

[0049] S6. The display module displays the running status and monitoring data of the system in real time.

[0050] Compared with the prior art, the present invention adopts the above technical solutions and has the following technical effects:

[0051] 1. Through the dissolved oxygen sensor, chemical oxygen demand sensor, flow sensor and temperature sensor, the 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 the preset algorithm, and then realize the precise adjustment of the aeration volume, making the aeration process more in line with the actual needs, improving the treatment effect and stability. The control module can reasonably adjust the aeration volume according to the algorithm result, avoiding unnecessary energy waste, reducing the operating cost, and achieving the energy-saving goal.

[0052] 2. The algorithm unit of the control module combines the control algorithm and the energy-saving optimization algorithm, and can perform intelligent calculation and decision-making according to the real-time monitoring data and preset parameters. It can automatically adjust the aeration volume to meet the aeration requirements under different water quality and flow conditions, without frequent manual intervention, improving the automation level and intelligence degree of the system. The display module displays the running status and monitoring data of the system in real time, enabling the operator to intuitively understand the working conditions of the system, and promptly discover abnormal situations and take corresponding measures. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings required for the description of the embodiments or the prior art. Obviously, the following drawings are only some embodiments of the present application. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0054] Figure 1 is the system flow chart of the present invention;

[0055] Figure 2 is the flow chart of the sensor module of the present invention;

[0056] Figure 3This is the flowchart of the control module of the present invention. Detailed implementation manners

[0057] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0058] It should be noted that the structures, ratios, sizes, etc. shown in the drawings of this specification are only used to cooperate with the content disclosed in the specification for those who are familiar with this technology to understand and read, and are not used to limit the limiting conditions that can be implemented in this application. Therefore, they do not have technical substance significance. Any modification of the structure, change of the proportional relationship or adjustment of the size, without affecting the effects that can be produced by this application and the purposes that can be achieved, should still fall within the scope that can be covered by the technical content disclosed in this application.

[0059] Embodiment

[0060] Please refer to Figures 1-3 , the present invention provides a technical solution: an intelligent aeration control system, including a sensor module, a data acquisition module, a control module, an adjustment module and a display module;

[0061] 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;

[0062] The sensor module is used to monitor water quality parameters and flow information in real time;

[0063] The sensor module includes a dissolved oxygen sensor, a chemical oxygen demand sensor, a flow sensor and a temperature sensor;

[0064] The dissolved oxygen sensor is used to monitor the dissolved oxygen concentration in the water body; capture the change of the dissolved oxygen concentration in the water body and provide dissolved oxygen data.

[0065] The chemical oxygen demand sensor is used to monitor the chemical oxygen demand in the water body;

[0066] The flow sensor is used to monitor the flow of the water body;

[0067] The temperature sensor is used to monitor the temperature of the water body.

[0068] The data acquisition module is used to collect and transmit the data obtained by the sensor module; perform preprocessing such as filtering and denoising before data transmission to improve data quality;

[0069] Filtering is one of the key steps. It can effectively remove high-frequency noise and random fluctuations in the data, making the data smoother and more stable. At the same time, denoising identifies and corrects abnormal points and error values ​​in the data to ensure the authenticity and reliability of the data. Through these preprocessing measures, the data acquisition module significantly improves the quality of the data and provides a solid foundation for subsequent data analysis and decision-making.

[0070] The control module is used to receive the data transmitted by the data acquisition module and process and make decisions according to the preset algorithm; it can automatically adjust the control parameters according to factors such as water quality changes and seasonal changes to achieve intelligent regulation of aeration volume;

[0071] The control module is the core brain of the intelligent aeration control system. It is responsible for receiving data transmitted by the data acquisition module and processing and making decisions based on preset algorithms.

[0072] The control module has a strong adaptive capability and can automatically adjust the control parameters according to changes in water quality, seasonal changes and other related factors. For example, in the summer when the water temperature is high and the dissolved oxygen content in the water is low, the control module will automatically increase the aeration volume to ensure sufficient oxygen content in the water; while in the winter when the water temperature is low and the dissolved oxygen content in the water is high, the aeration volume will be reduced accordingly to save energy and reduce costs.

[0073] The control module includes a processor, an algorithm unit and a database unit;

[0074] The control module can conduct in-depth analysis, reasoning and decision-making on the data transmitted by the processor according to different application scenarios and requirements. For example, in an automatic control system, the algorithm unit can adjust the control parameters according to real-time data to achieve stable operation of the system; in the field of data analysis, the algorithm unit can explore the potential rules in the data and provide strong support for decision-making.

[0075] A processor, for processing received data;

[0076] The calculation of aeration oxygen demand in the processor includes calculating aeration volume according to oxygen demand (Q1), calculating aeration volume according to air-water ratio (Q2) and calculating aeration volume according to dissolved oxygen concentration of mixed liquid (Q3);

[0077] The calculation formula for aeration volume (Q1) based on oxygen demand is:

[0078]

[0079] Among them, O2 is the oxygen demand of sewage, 0.28 is the oxygen content in each cubic meter of air, and E A is the oxygen transfer efficiency of the aeration equipment.

[0080] The calculation formula for the aeration volume (Q2) based on the air-water ratio is:

[0081] Q2 = q × Q w

[0082] where q is the air-water ratio and Q w is the sewage flow rate.

[0083] The calculation formula for the aeration volume (Q3) based on the dissolved oxygen concentration in the mixed liquor is:

[0084]

[0085] where K is the oxygen transfer coefficient, V is the volume of the aeration tank, and C s is the saturated dissolved oxygen concentration of the mixed liquor in the aeration tank at a certain temperature and pressure, C is the actual dissolved oxygen concentration of the mixed liquor in the aeration tank, and E A is the oxygen transfer efficiency of the aeration equipment.

[0086] An algorithm unit for calculating the required aeration volume according to the control algorithm and the energy-saving optimization algorithm;

[0087] The calculation formula for the aeration volume (Q) of the control algorithm is as follows:

[0088]

[0089] where e(t) is the error at time t, and K p is the proportional gain, K i is the integral gain, K d is the derivative gain, ∫e(t)dt is the integral part, representing the accumulation of the error over time within time t, is the derivative part of the error, representing the rate of change of the error over time.

[0090] The calculation formula for the energy consumption (E) of the energy-saving optimization algorithm is:

[0091]

[0092] where P(t) is the power consumption at time t, T is the running time, and d is the small change of the integration variable.

[0093] A database unit for storing historical data and algorithm parameters. It is responsible for storing various data generated during the operation of the system, including historical data, real-time data, configuration parameters, etc. The database unit has efficient data retrieval and query functions, enabling other units to quickly obtain the required data.

[0094] An adjustment module for adjusting the aeration volume according to the instructions of the control module;

[0095] The adjustment module includes a blower, a gas pressure sensor, a gas flow regulating valve, a gas flow meter, and an aeration pipe;

[0096] The blower is used to provide the gas required for aeration;

[0097] The gas pressure sensor is used to monitor the gas pressure output by the blower;

[0098] The gas flow regulating valve is used to adjust the gas flow according to the instructions of the control module;

[0099] The gas flow meter is used to monitor the actual gas flow; it measures the gas flow through the pipe in real time and transmits the data to the control module.

[0100] The aeration pipe is used to transport the gas to the aeration point.

[0101] The display module is used to display the operating status and monitoring data. When an abnormality or failure occurs in the system, the display module issues an alarm prompt in a timely manner and displays the corresponding handling suggestions.

[0102] The present invention also provides an aeration volume control method for an intelligent aeration volume control system, including the following steps:

[0103] 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, and temperature in the water body in real time;

[0104] S2. The data acquisition module collects the data obtained by the sensor module and performs preliminary processing;

[0105] S3. The data acquisition module transmits the processed data to the control module;

[0106] S4. The processor in the control module receives the data transmitted by the data acquisition module, and the processor passes the processed data to the algorithm unit for aeration volume calculation;

[0107] S5. The control module sends an instruction to adjust the aeration volume to the adjustment module according to the decision result of the algorithm unit;

[0108] S6. The display module displays the operating status and monitoring data of the system in real time.

[0109] In summary, through the dissolved oxygen sensor, chemical oxygen demand sensor, flow sensor and temperature sensor, the key parameters of water bodies 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 the preset algorithm, and then achieve precise adjustment of the aeration volume, making the aeration process more in line with the actual needs, improving the treatment effect and stability. The control module can reasonably adjust the aeration volume on the premise of meeting the aeration demand according to the algorithm results, avoiding unnecessary energy waste, reducing the operating cost and achieving the energy-saving goal.

[0110] Through the algorithm unit of the control module combining the control algorithm and the energy-saving optimization algorithm, intelligent calculation and decision-making can be carried out according to the real-time monitoring data and preset parameters, and the aeration volume can be automatically adjusted to meet the aeration demand under different water quality and flow conditions, without frequent manual intervention, improving the automation level and intelligence degree of the system. The display module shows the running state and monitoring data of the system in real time, enabling the operator to intuitively understand the working condition of the system, promptly discover abnormal situations and take corresponding measures.

[0111] Those skilled in the art can understand that the features recited 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 recited in the present invention. In particular, without departing from the spirit and teachings of the present invention, the features recited in the various embodiments and / or claims of the present invention can be combined and combined in various ways. All such combinations and / or combinations fall within the scope of the present invention.

Claims

1. An intelligent aeration control system, 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 used to receive the data transmitted by the data acquisition module and perform processing and decision-making 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 display the operating status and monitoring data.

2. The intelligent aeration rate control system 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 body; The chemical oxygen demand sensor is used to monitor the chemical oxygen demand in the water body; The flow sensor is used to monitor the flow of the water body; The temperature sensor is used to monitor the temperature of the water body.

3. The intelligent aeration control system 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 according to the control algorithm and the energy-saving optimization algorithm; The database unit is used to store historical data and algorithm parameters.

4. An intelligent aeration control system according to claim 1, characterized in that: The adjustment module includes a blower, a pressure sensor, a gas flow regulating valve, a gas flow meter and an aeration pipeline; 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 adjust the gas flow according to the instructions of the control module; The gas flow meter is used to monitor the actual gas flow; The aeration pipeline is used to transport the gas to the aeration point.

5. An intelligent aeration control system according to claim 3, characterized in that: The calculation formula for the aeration volume (Q) of the control algorithm is as follows: where e(t) is the error at time t, and K p is the proportional gain, K i is the integral gain, K d is the derivative gain, ∫e(t)dt is the integral part, representing the accumulation of the error over time within time t, and is the derivative part of the error, representing the rate of change of the error over time.

6. The intelligent aeration control system according to claim 3, wherein: The calculation formula for the energy consumption (E) of the energy-saving optimization algorithm is: Where, P(t) is the power consumption at time t, T is the operating time, and d is the small change of the integration variable.

7. An intelligent aeration rate control system according to claim 3, characterized in that: The calculation of the aeration oxygen demand in the processor includes calculating the aeration volume (Q1) according to the oxygen demand, calculating the aeration volume (Q2) according to the air-water ratio, and calculating the aeration volume (Q3) according to the dissolved oxygen concentration of the mixed liquid; The calculation formula for calculating the aeration volume (Q1) according to the oxygen demand is: Among them, O2 is the oxygen demand of sewage, 0.28 is the oxygen content in each cubic meter of air, and E A is the oxygen transfer efficiency of the aeration equipment.

8. An intelligent aeration control system according to claim 7, characterized in that: The calculation formula for calculating the aeration volume (Q2) according to the air-water ratio is: Q2 = q × Q w where q is the gas-water ratio, and Q w is the sewage flow rate.

9. The intelligent aeration control system according to claim 7, wherein: The calculation formula for calculating the aeration volume (Q3) according to the dissolved oxygen concentration of the mixed liquid is: Among them, K is the oxygen transfer coefficient, V is the volume of the aeration tank, C s is the saturated dissolved oxygen concentration of the mixed liquor in the aeration tank at a certain temperature and pressure, C is the actual dissolved oxygen concentration of the mixed liquor in the aeration tank, E A is the oxygen transfer efficiency of the aeration equipment.

10. A method for controlling the aeration volume of an intelligent aeration volume control system according to any one of claims 1-9, characterized in that, It 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 and temperature in the water body in real time; S2. The data acquisition module collects the data obtained 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 transfers the processed data to the algorithm unit for calculating the aeration volume; S5. The control module sends an instruction to adjust the aeration volume to the adjustment module according to the decision result of the algorithm unit; S6. The display module displays the operating status and monitoring data of the system in real time.

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