An intelligent sewage treatment system based on the Internet of Things

Abstract

The present invention relates to the technical field of water treatment, and in particular to an intelligent sewage treatment system based on the Internet of Things. The present invention is provided with a plurality of collection pools, a pretreatment module, and a nitrification treatment module. Aquaculture sewage is collected through the collection pool and the generation stage characteristics of the aquaculture sewage are determined according to aquaculture activity information. The sewage surface image of the aquaculture sewage in the pretreatment pool is obtained through an information acquisition terminal. Aquaculture sewage with the same generation stage characteristics is collected through the pretreatment pool and it is determined whether to optimize the aquaculture sewage. An optimized treatment method for nitrification treatment of the aquaculture sewage is selected through the nitrification pool, including adjusting the flow rate of the aquaculture sewage in the diversion pipeline, or adjusting the air blowing method of each aeration port. Furthermore, the aquaculture sewage is classified and treated according to the difference in aquaculture activity information, and the optimized treatment method for nitrification treatment of the sewage is adaptively adjusted, thereby improving the effect and efficiency of sewage treatment.

Description

Technical Field

[0001] The present invention relates to the technical field of water treatment, and in particular to an intelligent sewage treatment system based on the Internet of Things. Background Art

[0002] With the acceleration of urbanization and the development of industrialization, sewage treatment has received more and more attention. Although traditional sewage treatment methods can effectively remove pollutants in sewage, a large amount of waste will be generated during the treatment process, causing secondary impact on the environment. The intelligent sewage treatment system based on the Internet of Things can effectively improve the efficiency of sewage treatment and reduce labor and material costs.

[0003] With the large-scale development of aquaculture, the amount of aquaculture wastewater is increasing, posing a serious threat to the environment. Aquaculture wastewater treatment has begun to adopt automation and intelligent technologies, which help to improve treatment efficiency, ensure that wastewater treatment is stable and meets standards, and reduce operating costs. However, the composition of aquaculture wastewater is different. If a unified sewage treatment system is used, it is difficult to obtain a uniform treatment effect, and it will also increase unnecessary energy waste. Therefore, while improving the effect and efficiency of sewage treatment, reducing the energy waste of the sewage treatment system is a technical problem that needs to be solved urgently.

[0004] For example, the Chinese patent authorization announcement number is: CN117964148B, which discloses a sewage treatment system based on ecological symbiotic breeding, including: real-time monitoring of each breeding pond, and discharging the sewage in the breeding pond that meets the discharge standards, obtaining the initial water quality parameters of the sewage in the breeding pond to be further tested, and re-testing the sewage water quality in the breeding pond to be further tested based on the initial water quality parameters, obtaining the breeding information of all normal breeding ponds, and selecting reference breeding ponds based on the breeding information of normal breeding ponds, regulating the species and number of organisms in all breeding ponds in subsequent ecological breeding according to the recorded species and number of organisms in the reference breeding ponds, and optimizing the sewage transportation in the breeding ponds in subsequent ecological breeding according to the initial water quality parameters of the sewage recorded in the reference breeding ponds. The invention realizes sewage treatment through ecological breeding and optimizes the ecological breeding method according to the specific situation of sewage treatment.

[0005] The prior art still has the following problems:

[0006] The existing technology does not take into account that the composition of aquaculture wastewater may be different at different times. The existing technology cannot classify aquaculture wastewater for treatment based on differences in information about aquaculture activities, and cannot adaptively adjust the optimized treatment method for nitrification treatment of wastewater, thus affecting the effect and efficiency of wastewater treatment. Summary of the invention

[0007] To this end, the present invention provides an intelligent sewage treatment system based on the Internet of Things to overcome the problems that the prior art cannot classify aquaculture sewage according to differences in aquaculture activity information, cannot adaptively adjust the optimized treatment method for nitrification treatment of sewage, and affects the effect and efficiency of sewage treatment.

[0008] To achieve the above object, the present invention provides an intelligent sewage treatment system based on the Internet of Things, comprising:

[0009] A plurality of collection pools for collecting aquaculture wastewater and determining the generation stage characteristics of the aquaculture wastewater according to the aquaculture activity information of the aquaculture wastewater;

[0010] The breeding activity information includes feeding time nodes and feeding feed amounts, and the production stage characteristics include explicit stage characteristics and non-explicit stage characteristics;

[0011] A pretreatment module, comprising a pretreatment tank connected to a plurality of collection tanks and an information acquisition terminal arranged on the pretreatment tank, wherein the information acquisition terminal is used to obtain a sewage surface image of the aquaculture sewage in the pretreatment tank;

[0012] The pretreatment tank is used to collect aquaculture sewage with the same generation stage characteristics and determine whether to optimize the aquaculture sewage according to the water surface bubble variation coefficient of the aquaculture sewage;

[0013] Wherein, the water surface bubble variation coefficient is determined according to the contour area of ​​the water surface bubbles in the sewage surface image;

[0014] A nitrification treatment module, which is connected to the pretreatment module, comprises a nitrification tank connected to the pretreatment tank through a diversion pipeline for nitrifying the aquaculture sewage, and a plurality of aeration ports arranged on the inner wall of the nitrification tank for blowing air into the nitrification tank;

[0015] The nitrification tank is also used to select an optimized treatment method for nitrification treatment of the aquaculture wastewater according to the characteristics of the production stage, including:

[0016] Adjusting the flow rate of the aquaculture sewage in the diversion pipe;

[0017] Alternatively, the air injection mode of each aeration port is adjusted to pulse injection, and the frequency of the pulse injection is adjusted based on the breeding activity information.

[0018] Furthermore, the collection tank is used to determine the generation stage characteristics of the aquaculture wastewater, wherein:

[0019] If the comparison of the aquaculture activity information meets the explicit conditions of aquaculture wastewater, the collection pool determines that the generation stage characteristics of the aquaculture wastewater are explicit stage characteristics;

[0020] If the comparison of the aquaculture activity information does not meet the explicit conditions of aquaculture wastewater, the collection pool determines that the generation stage characteristics of the aquaculture wastewater are non-explicit stage characteristics;

[0021] Among them, the explicit condition of aquaculture wastewater is that the difference between the moment of the feeding time node and the moment when the aquaculture wastewater is collected into the collection pool is within a preset time range.

[0022] Furthermore, the pretreatment tank is also connected to a feature processing unit for drawing bubble area fluctuation curves of aquaculture sewage with the same generation stage characteristics.

[0023] Furthermore, the bubble area fluctuation curve has the bubble contour area on the surface of the aquaculture sewage as the vertical axis and the pumping amount of the aquaculture sewage as the horizontal axis;

[0024] The water surface bubble contour area is determined based on the sewage surface images of the aquaculture sewage at several moments.

[0025] Furthermore, the characteristic processing unit is used to obtain the bubble area fluctuation curve corresponding to the aquaculture sewage with the same generation stage characteristics, and determine the standard deviation of the bubble area fluctuation curve as the water surface bubble variation coefficient.

[0026] Furthermore, the characteristic processing unit is also used to determine whether to optimize the aquaculture wastewater treatment, wherein:

[0027] If the comparison of the water surface bubble variation coefficients of the aquaculture sewage with the same generation stage characteristics meets the aquaculture sewage treatment conditions, the characteristic processing unit determines not to perform optimization treatment on the aquaculture sewage;

[0028] If the comparison of the water surface bubble variation coefficients of the aquaculture sewage with the same generation stage characteristics does not meet the aquaculture sewage treatment conditions, the characteristic processing unit determines to optimize the treatment of the aquaculture sewage.

[0029] Furthermore, the aquaculture wastewater treatment condition is that the water surface bubble variation coefficient does not exceed a preset water surface bubble variation threshold.

[0030] Furthermore, the nitrification tank is also connected to an optimization treatment unit for selecting an optimization treatment method for nitrification treatment of the aquaculture wastewater, wherein:

[0031] If the generation stage characteristic is a non-dominant stage characteristic, the optimal treatment method for selecting the aquaculture sewage for nitrification treatment is to adjust the flow rate of the aquaculture sewage in the diversion pipe;

[0032] If the generation stage characteristic is a dominant stage characteristic, the optimal treatment method for nitrification treatment of the aquaculture wastewater is to adjust the air injection mode of each aeration port to pulse injection, and adjust the frequency of the pulse injection based on the aquaculture activity information.

[0033] Furthermore, the optimization treatment unit is used to adjust the flow rate of the aquaculture sewage in the diversion pipe, wherein:

[0034] Obtaining a bubble area fluctuation curve of the aquaculture sewage;

[0035] Determining the flow rate of the aquaculture sewage in the diversion pipe based on the standard deviation of the bubble area fluctuation curve;

[0036] Wherein, the flow rate is negatively correlated with the standard deviation.

[0037] Furthermore, each aeration port is used to adjust the frequency of the pulsed bubbling, wherein:

[0038] Determine the frequency of the pulse bubbling according to the feeding amount corresponding to the aquaculture sewage;

[0039] Wherein, the frequency is positively correlated with the feeding amount.

[0040] Compared with the prior art, the beneficial effect of the present invention lies in that the present invention is provided with several collection pools, pretreatment modules, and nitrification treatment modules, aquaculture sewage is collected through the collection pool and the generation stage characteristics of the aquaculture sewage are determined according to the aquaculture activity information, the sewage surface image of the aquaculture sewage in the pretreatment pool is obtained through the information acquisition terminal, aquaculture sewage with the same generation stage characteristics is collected through the pretreatment pool and it is determined whether the aquaculture sewage is optimized for treatment, the aquaculture sewage in the pretreatment pool is diverted to the nitrification pool through the diversion pipe and the optimized treatment method for nitrification treatment of the aquaculture sewage is selected according to the generation stage characteristics, including adjusting the flow rate of the aquaculture sewage in the diversion pipe, or adjusting the air blowing mode of each aeration port to pulse blowing, and the frequency of the pulse blowing, thereby realizing the classification and treatment of aquaculture sewage according to the difference in aquaculture activity information, and adaptively adjusting the optimized treatment method for nitrification treatment of sewage, thereby improving the effect and efficiency of sewage treatment.

[0041] In particular, the present invention determines the generation stage characteristics of aquaculture wastewater according to the feeding time nodes corresponding to the aquaculture wastewater through the collection pool. It can be understood that the feeding time nodes can directly affect the organic matter content in the wastewater. During a period of time at the feeding time nodes, as the digestion process proceeds, feed residues and excrement that are not completely absorbed will increase the organic matter concentration in the wastewater, and indicators such as the chemical oxygen demand and biochemical oxygen demand in the wastewater will increase significantly, which is crucial for the subsequent selection of appropriate treatment processes and parameters. By collecting the feeding time nodes of the aquaculture activity information, the moment when the organic matter concentration in the aquaculture wastewater is higher can be further determined, thereby determining the generation stage characteristics of the aquaculture wastewater, and then, it is possible to accurately control the changes in the sewage composition, classify and treat the aquaculture wastewater according to the aquaculture activity information, and effectively improve the overall efficiency of the sewage treatment system.

[0042] In particular, the present invention collects aquaculture wastewater with the same production stage characteristics through a pretreatment tank. Those skilled in the art can understand that when aquaculture wastewater with the same production stage characteristics are collected together, since the aquaculture wastewater has the same characteristics, the parameters for subsequent wastewater treatment can be set more specifically. For aquaculture wastewater with different characteristics, the aeration requirements of the subsequent nitrification process are different. When the production stage characteristic is that the aquaculture wastewater has a high organic content, more dissolved oxygen is required, and the aeration intensity can be reasonably increased. For aquaculture wastewater with a low organic content, the aeration intensity can be appropriately reduced to avoid excessive consumption of energy. Furthermore, the aquaculture wastewater can be classified and treated, energy waste can be avoided, and the overall efficiency of the sewage treatment system can be improved.

[0043] In particular, the present invention determines whether to optimize the aquaculture sewage through the bubble area fluctuation curve. It can be understood that the bubbles on the sewage surface of the aquaculture sewage in the pretreatment tank can reflect the state changes of the aquaculture sewage in real time. The bubble area fluctuation curve is drawn with the water surface bubble contour area of ​​the aquaculture sewage as the vertical axis and the pumping amount as the horizontal axis. Through the fluctuation state of the bubble area fluctuation curve, it is quickly determined whether there is an abnormality in the aquaculture sewage. The sewage treatment system can dynamically adjust the optimization method of subsequent steps. When the bubble area fluctuation curve shows that the bubble contour area continues to change with the increase of the pumping amount, it indicates that the water viscosity of the aquaculture sewage is large and the organic matter content in the water is large, resulting in the inability to dissipate the bubbles on the water surface in time, affecting the microbial activity in the nitrification reaction, and the need to optimize the subsequent nitrification reaction process. When the bubble area fluctuation curve fluctuates within the normal range, no additional optimization treatment is required, saving treatment costs. Furthermore, the optimized treatment method for adaptively adjusting the sewage for nitrification treatment is achieved, thereby improving the effect and efficiency of sewage treatment.

[0044] In particular, the present invention adjusts the flow rate of the aquaculture sewage in the diversion pipe when the generation stage characteristics are non-dominant stage characteristics. It can be understood that under the non-dominant stage characteristics, the abnormal bubbles on the surface of the aquaculture sewage may be caused by other factors, and excessive organic matter is not the main factor. The excessive flow rate in the diversion pipe is easy to generate bubbles due to the impact on the nitrification tank. The greater the flow rate in the diversion pipe, the more bubbles are generated and the more difficult it is to dissipate in time, which will interfere with the judgment of the true state of the aquaculture sewage. Adjusting the flow rate in the diversion pipe can effectively reduce the water surface bubbles generated by the flow rate problem, and then realize the adaptive adjustment of the optimized treatment method for nitrification treatment of sewage, thereby improving the effect and efficiency of sewage treatment.

[0045] In particular, when the generation stage characteristic of the present invention is a dominant stage characteristic, the air blowing mode of each aeration port is adjusted to pulse blowing. It can be understood that under the dominant stage characteristic, due to the high content of organic matter in the aquaculture sewage and the high viscosity of the water quality, the bubbles on the surface of the aquaculture sewage are abnormal. The pulse blowing of air can form a high-intensity aeration shock in a short time, making the aeration more sufficient, enhancing the contact area between sewage and air, and prompting organic matter to participate in the oxidation reaction more efficiently, accelerating the decomposition of organic matter, and improving the sewage treatment efficiency. At the same time, the pulse blowing can produce periodic hydraulic disturbances, which can break the viscous structure of the sewage, prevent the problem of uneven aeration caused by viscous resistance during the aeration process, ensure the stability of the aeration effect in the entire sewage system, further optimize the sewage treatment quality, and then realize the adaptive adjustment of the optimized treatment method for nitrification treatment of sewage, thereby improving the effect and efficiency of sewage treatment.

[0046] In particular, the present invention adjusts the frequency of pulsed blowing according to the information of breeding activities. It can be understood that the feeding amount is directly related to the content of organic matter in the breeding wastewater. An increase in the feeding amount means an increase in organic matter, an increase in water viscosity, and an increase in the oxygen demand for microbial metabolism. At this time, increasing the pulse frequency can more effectively meet its oxygen demand, ensure smooth microbial metabolism, and avoid reduced treatment efficiency due to lack of oxygen. At the same time, increasing the pulse frequency can more effectively break the viscous structure of sewage and prevent uneven aeration caused by viscous resistance during aeration. Furthermore, it realizes the adaptive adjustment of the optimized treatment method for nitrification treatment of sewage, thereby improving the effect and efficiency of sewage treatment. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] Figure 1 This is a structural block diagram of an intelligent sewage treatment system based on the Internet of Things according to an embodiment of the present invention;

[0048] Figure 2 This is a functional block diagram of an intelligent sewage treatment system based on the Internet of Things according to an embodiment of the present invention;

[0049] Figure 3A logic flow chart for determining the generation stage characteristics of aquaculture sewage in a collection pool according to an embodiment of the present invention;

[0050] Figure 4 A logic flow chart of the pretreatment tank in an embodiment of the present invention determining whether to optimize the treatment of aquaculture wastewater;

[0051] In the figure, 1. Collection tank; 2. Pretreatment tank; 3. Diversion pipe; 4. Nitrification tank; 5. Aeration port. DETAILED DESCRIPTION

[0052] In order to make the objects and advantages of the present invention more clearly understood, the present invention is further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0053] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the protection scope of the present invention.

[0054] It should be noted that, in the description of the present invention, terms such as "upper", "lower", "inside" and "outside" indicating directions or positional relationships are based on the directions or positional relationships shown in the drawings. This is only for the convenience of description and does not indicate or imply that the device or element must have a specific orientation, be constructed and operated in a specific orientation. Therefore, it cannot be understood as a limitation on the present invention.

[0055] In addition, it should be noted that in the description of the present invention, unless otherwise clearly specified and limited, the terms "installation" and "connection" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be an indirect connection through an intermediate medium, or it can be the internal communication of two components. For those skilled in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0056] See also Figure 1 as well as Figure 2 As shown, Figure 1 This is a structural block diagram of an intelligent sewage treatment system based on the Internet of Things according to an embodiment of the present invention. Figure 2 The functional block diagram of an intelligent sewage treatment system based on the Internet of Things according to an embodiment of the present invention is as follows:

[0057] A plurality of collection pools 1, which are used to collect aquaculture wastewater and determine the generation stage characteristics of the aquaculture wastewater according to the aquaculture activity information of the aquaculture wastewater;

[0058] The breeding activity information includes feeding time nodes and feeding feed amounts, and the production stage characteristics include explicit stage characteristics and non-explicit stage characteristics;

[0059] Specifically, the collection pool 1 can be connected to a data processing unit, which is used to store breeding activity information and determine production stage characteristics. The data processing unit can be a processor used in a computer, which will not be described in detail here.

[0060] A pretreatment module, comprising a pretreatment pool 2 connected to a plurality of collection pools 1 and an information acquisition terminal arranged on the pretreatment pool 2, wherein the information acquisition terminal is used to obtain a sewage surface image of the aquaculture sewage in the pretreatment pool 2;

[0061] Specifically, the present invention does not limit the specific structure of the information collection terminal. Preferably, it can be an industrial camera that selects different lenses to focus on the sewage surface in a specific area to obtain an image, which will not be repeated here.

[0062] The pretreatment tank 2 is used to collect aquaculture sewage with the same generation stage characteristics and determine whether to optimize the aquaculture sewage according to the water surface bubble variation coefficient of the aquaculture sewage;

[0063] Wherein, the water surface bubble variation coefficient is determined according to the contour area of ​​the water surface bubbles in the sewage surface image;

[0064] Specifically, the present invention collects aquaculture wastewater with the same production stage characteristics through a pretreatment tank. Those skilled in the art can understand that when aquaculture wastewater with the same production stage characteristics are collected together, due to the same characteristics of the aquaculture wastewater, the parameters for subsequent wastewater treatment can be set more specifically. For aquaculture wastewater with different characteristics, the aeration requirements of the subsequent nitrification process are different. When the production stage characteristic is that the aquaculture wastewater has a high organic content, more dissolved oxygen is required, and the aeration intensity can be reasonably increased. For aquaculture wastewater with a low organic content, the aeration intensity is appropriately reduced to avoid excessive consumption of energy. Furthermore, the aquaculture wastewater can be classified and treated, energy waste can be avoided, and the overall efficiency of the sewage treatment system can be improved.

[0065] A nitrification treatment module, which is connected to the pretreatment module, includes a nitrification tank 4 connected to the pretreatment tank 2 through a diversion pipe 3 for nitrifying the aquaculture wastewater, and a plurality of aeration ports 5 arranged on the inner wall of the nitrification tank 4 for blowing air into the nitrification tank 4;

[0066] Specifically, a plurality of aeration ports 5 can be evenly distributed on the inner wall of the nitrification tank 4. This arrangement can provide a uniform aeration effect, evenly distribute the dissolved oxygen in the sewage, avoid incomplete nitrification reaction caused by local hypoxia, and help improve the efficiency of the nitrification reaction. Preferably, for a square nitrification tank 4, aeration ports 5 can be arranged at the same intervals on each side of the tank wall so that air can be evenly distributed in the water body of the entire nitrification tank 4. For a circular nitrification tank 4, aeration ports 5 can be arranged at equal distances along the circumference to blow air radially outward from the center of the circle.

[0067] The nitrification tank 4 is also used to select an optimized treatment method for nitrification treatment of the aquaculture wastewater according to the characteristics of the production stage, including:

[0068] Adjusting the flow rate of the aquaculture sewage in the diversion pipe 3;

[0069] Alternatively, the air blowing mode of each aeration port 5 is adjusted to pulse blowing, and the frequency of the pulse blowing is adjusted based on the breeding activity information.

[0070] Specifically, see Figure 3 As shown, it is a logical flow chart of the collection tank determining the generation stage characteristics of aquaculture sewage in an embodiment of the present invention, wherein the collection tank 1 is used to determine the generation stage characteristics of the aquaculture sewage, wherein:

[0071] If the comparison of the aquaculture activity information meets the explicit condition of aquaculture wastewater, the collection tank 1 determines that the generation stage characteristics of the aquaculture wastewater are explicit stage characteristics;

[0072] If the comparison of the aquaculture activity information does not meet the explicit condition of aquaculture wastewater, the collection tank 1 determines that the generation stage characteristics of the aquaculture wastewater are non-explicit stage characteristics;

[0073] The explicit condition of the aquaculture wastewater is that the difference between the moment of the feeding time node and the moment when the aquaculture wastewater is collected into the collection pool 1 is within a preset time range.

[0074] Specifically, the time range can be set by technical personnel in this field according to the business category of the farm where the aquaculture wastewater is located. Preferably, when the business category of the farm where the aquaculture wastewater is located is poultry, the time range can be [3, 5], and the interval unit is h.

[0075] Specifically, the present invention determines the generation stage characteristics of aquaculture wastewater according to the feeding time nodes corresponding to the aquaculture wastewater through a collection pool. It can be understood that the feeding time nodes can directly affect the organic matter content in the wastewater. During a period of time at the feeding time nodes, as the digestion process proceeds, feed residues and excrement that are not completely absorbed will increase the organic matter concentration in the wastewater, and indicators such as the chemical oxygen demand and biochemical oxygen demand in the wastewater will increase significantly, which is crucial for the subsequent selection of appropriate treatment processes and parameters. By collecting the feeding time nodes of the aquaculture activity information, the moment when the organic matter concentration in the aquaculture wastewater is higher can be further determined, thereby determining the generation stage characteristics of the aquaculture wastewater, and then, it is possible to accurately control the changes in the sewage composition, classify the aquaculture wastewater according to the aquaculture activity information, and effectively improve the overall efficiency of the sewage treatment system.

[0076] Specifically, the pretreatment tank 2 is also connected to a characteristic processing unit for drawing a bubble area fluctuation curve of aquaculture sewage with the same generation stage characteristics.

[0077] Specifically, the present invention does not limit the specific structure of the feature processing unit. Preferably, it can be a data collector for obtaining the contour area of ​​the water surface bubble and a microprocessor connected to the data collector for drawing a curve according to the received contour area of ​​the water surface bubble. This is a prior art and will not be repeated here.

[0078] Specifically, the bubble area fluctuation curve takes the water surface bubble contour area of ​​the aquaculture sewage as the vertical axis and the pumping amount of the aquaculture sewage as the horizontal axis;

[0079] The water surface bubble contour area is determined based on the sewage surface images of the aquaculture sewage at several moments.

[0080] Specifically, the contour area of ​​the water surface bubbles can be obtained from the collected sewage surface image through the image processor built into the feature processing unit. The edge of the bubble is identified by the edge detection algorithm to determine the water surface bubble contour, and the area of ​​the bubble is calculated based on the pixel points within the bubble contour. This is the existing technology and will not be repeated here.

[0081] Specifically, the feature processing unit is used to obtain the bubble area fluctuation curve corresponding to the aquaculture sewage with the same generation stage characteristics, and determine the standard deviation of the bubble area fluctuation curve as the water surface bubble variation coefficient.

[0082] Specifically, see Figure 4 As shown, it is a logic flow chart of the pretreatment tank in an embodiment of the present invention for determining whether to optimize the aquaculture sewage treatment. The characteristic processing unit is also used to determine whether to optimize the aquaculture sewage treatment, wherein:

[0083] If the comparison of the water surface bubble variation coefficients of the aquaculture sewage with the same generation stage characteristics meets the aquaculture sewage treatment conditions, the characteristic processing unit determines not to perform optimization treatment on the aquaculture sewage;

[0084] If the comparison of the water surface bubble variation coefficients of the aquaculture sewage with the same generation stage characteristics does not meet the aquaculture sewage treatment conditions, the characteristic processing unit determines to optimize the treatment of the aquaculture sewage.

[0085] Specifically, the present invention determines whether to optimize the aquaculture sewage through the bubble area fluctuation curve. It can be understood that the bubbles on the sewage surface of the aquaculture sewage in the pretreatment tank can reflect the state changes of the aquaculture sewage in real time. The bubble area fluctuation curve is drawn with the water surface bubble contour area of ​​the aquaculture sewage as the vertical axis and the pumping amount as the horizontal axis. Through the fluctuation state of the bubble area fluctuation curve, it is quickly judged whether there is an abnormality in the aquaculture sewage. The sewage treatment system can dynamically adjust the optimization method of subsequent steps. When the bubble area fluctuation curve shows that the bubble contour area continues to change with the increase of the pumping amount, it indicates that the water viscosity of the aquaculture sewage is large and the organic matter content in the water is large, resulting in the inability to dissipate the bubbles on the water surface in time, affecting the microbial activity in the nitrification reaction, and the need to optimize the subsequent nitrification reaction process. When the bubble area fluctuation curve fluctuates within the normal range, no additional optimization treatment is required, saving treatment costs, and thus, the optimized treatment method of adaptively adjusting the sewage for nitrification treatment is realized, thereby improving the effect and efficiency of sewage treatment.

[0086] Specifically, the aquaculture wastewater treatment condition is that the water surface bubble variation coefficient does not exceed a preset water surface bubble variation threshold.

[0087] Specifically, the water surface bubble change threshold can be determined by the product of the area of ​​the pretreatment tank in the current aquaculture sewage scenario and the bubble change factor, that is, the water surface bubble change threshold = the area of ​​the pretreatment tank × the bubble change factor, wherein the bubble change factor can be set by technical personnel in this field according to the size of the pretreatment tank in the current aquaculture sewage scenario. The larger the size of the pretreatment tank, the larger the value of the bubble change factor. Preferably, the value range of the bubble change factor can be 0.1.

[0088] Specifically, the nitrification tank 4 is also connected to an optimization treatment unit for selecting an optimization treatment method for nitrification treatment of the aquaculture wastewater, wherein:

[0089] If the generation stage characteristic is a non-dominant stage characteristic, the optimal treatment method for selecting the aquaculture sewage for nitrification treatment is to adjust the flow rate of the aquaculture sewage in the diversion pipe 3;

[0090] If the generation stage characteristic is a dominant stage characteristic, the optimal treatment method for nitrification treatment of the aquaculture wastewater is to adjust the air injection mode of each aeration port 5 to pulse injection, and adjust the frequency of the pulse injection based on the aquaculture activity information.

[0091] Specifically, the present invention does not limit the specific structure of the optimization processing unit. Preferably, it can be composed of logic components, and the optimization processing method is selected according to the characteristics of the generation stage. The logic components can be field programmable logic components, microprocessors, processors used in computers, etc., which will not be repeated here.

[0092] Specifically, when the generation stage characteristic of the present invention is a dominant stage characteristic, the air blowing mode of each aeration port is adjusted to pulse blowing. It can be understood that under the dominant stage characteristic, due to the high content of organic matter in the aquaculture sewage and the high viscosity of the water quality, the bubbles on the surface of the aquaculture sewage are abnormal. The pulse blowing of air can form a high-intensity aeration shock in a short time, making the aeration more sufficient, enhancing the contact area between sewage and air, and prompting organic matter to participate in the oxidation reaction more efficiently, accelerating the decomposition of organic matter, and improving the sewage treatment efficiency. At the same time, the pulse blowing can produce periodic hydraulic disturbances, which can break the viscous structure of the sewage and prevent the problem of uneven aeration caused by viscous resistance during the aeration process, thereby ensuring the stability of the aeration effect in the entire sewage system, further optimizing the sewage treatment quality, and then realizing the adaptive adjustment of the optimized treatment method for nitrification treatment of sewage, thereby improving the effect and efficiency of sewage treatment.

[0093] Specifically, the optimization processing unit is used to adjust the flow rate of the aquaculture sewage in the diversion pipe 3, wherein:

[0094] Obtaining a bubble area fluctuation curve of the aquaculture sewage;

[0095] Determine the flow rate of the aquaculture sewage in the diversion pipe 3 based on the standard deviation of the bubble area fluctuation curve;

[0096] Wherein, the flow rate is negatively correlated with the standard deviation.

[0097] Specifically, the present invention adjusts the flow rate of the aquaculture sewage in the diversion pipe when the generation stage characteristics are non-dominant stage characteristics. It can be understood that under the non-dominant stage characteristics, the abnormal bubbles on the surface of the aquaculture sewage may be caused by other factors, and excessive organic matter is not the main factor. The excessive flow rate in the diversion pipe is easy to generate bubbles due to the impact on the nitrification tank. The greater the flow rate in the diversion pipe, the more bubbles are generated and the more difficult it is to dissipate in time, which will interfere with the judgment of the true state of the aquaculture sewage. Adjusting the flow rate in the diversion pipe can effectively reduce the water surface bubbles generated by the flow rate problem, and then realize the adaptive adjustment of the optimized treatment method for nitrification treatment of sewage, thereby improving the effect and efficiency of sewage treatment.

[0098] Specifically, each aeration port 5 is used to adjust the frequency of the pulsed aeration, wherein:

[0099] Determine the frequency of the pulse bubbling according to the feeding amount corresponding to the aquaculture sewage;

[0100] Wherein, the frequency is positively correlated with the feeding amount.

[0101] Specifically, the present invention adjusts the frequency of pulsed blowing according to the information of breeding activities. It can be understood that the feeding amount is directly related to the content of organic matter in the breeding wastewater. An increase in the feeding amount means an increase in organic matter, an increase in water viscosity, and an increase in the oxygen demand for microbial metabolism. At this time, increasing the pulse frequency can more effectively meet its oxygen demand, ensure smooth microbial metabolism, and avoid reduced treatment efficiency due to lack of oxygen. At the same time, increasing the pulse frequency can more effectively break the viscous structure of sewage and prevent uneven aeration caused by viscous resistance during aeration. Furthermore, it realizes the adaptive adjustment of the optimized treatment method for nitrification treatment of sewage, thereby improving the effect and efficiency of sewage treatment.

[0102] So far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will fall within the protection scope of the present invention.

[0103] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. An intelligent sewage treatment system based on the Internet of Things, characterized in that: include: A plurality of collection pools for collecting aquaculture wastewater and determining the generation stage characteristics of the aquaculture wastewater according to the aquaculture activity information of the aquaculture wastewater; The breeding activity information includes feeding time nodes and feeding feed amounts, and the production stage characteristics include explicit stage characteristics and non-explicit stage characteristics; If the comparison of the aquaculture activity information meets the explicit conditions of aquaculture wastewater, the collection pool determines that the generation stage characteristics of the aquaculture wastewater are explicit stage characteristics; If the comparison of the aquaculture activity information does not meet the explicit conditions of aquaculture wastewater, the collection pool determines that the generation stage characteristics of the aquaculture wastewater are non-explicit stage characteristics; Wherein, the explicit condition of aquaculture sewage is that the difference between the moment of the feeding time node and the moment when the aquaculture sewage is collected into the collection pool is within a preset time range; A pretreatment module, comprising a pretreatment tank connected to a plurality of collection tanks and an information acquisition terminal arranged on the pretreatment tank, wherein the information acquisition terminal is used to obtain a sewage surface image of the aquaculture sewage in the pretreatment tank; The pretreatment tank is used to collect aquaculture sewage with the same generation stage characteristics and determine whether to optimize the aquaculture sewage according to the water surface bubble variation coefficient of the aquaculture sewage; Wherein, the water surface bubble variation coefficient is determined according to the contour area of ​​the water surface bubbles in the sewage surface image; A nitrification treatment module, which is connected to the pretreatment module, comprises a nitrification tank connected to the pretreatment tank through a diversion pipe for nitrifying the aquaculture sewage, and a plurality of aeration ports arranged on the inner wall of the nitrification tank for blowing air into the nitrification tank; The nitrification tank is also used to select an optimized treatment method for nitrification treatment of the aquaculture wastewater according to the characteristics of the production stage, including: Adjusting the flow rate of the aquaculture sewage in the diversion pipe; Alternatively, the air injection mode of each aeration port is adjusted to pulse injection, and the frequency of the pulse injection is adjusted based on the breeding activity information.

2. The intelligent sewage treatment system based on the Internet of Things according to claim 1 is characterized in that: The pretreatment tank is also connected to a feature processing unit for drawing bubble area fluctuation curves of aquaculture sewage with the same generation stage characteristics.

3. The intelligent sewage treatment system based on the Internet of Things according to claim 2 is characterized in that: The bubble area fluctuation curve takes the bubble contour area of ​​the aquaculture sewage water surface as the vertical axis and takes the pumping amount of the aquaculture sewage as the horizontal axis; The water surface bubble contour area is determined based on the sewage surface images of the aquaculture sewage at several moments.

4. The intelligent sewage treatment system based on the Internet of Things according to claim 3 is characterized in that: The characteristic processing unit is used to obtain the bubble area fluctuation curve corresponding to the aquaculture sewage with the same generation stage characteristics, and determine the standard deviation of the bubble area fluctuation curve as the water surface bubble variation coefficient.

5. The intelligent sewage treatment system based on the Internet of Things according to claim 4 is characterized in that: The characteristic processing unit is also used to determine whether to optimize the aquaculture wastewater treatment, wherein: If the comparison of the water surface bubble variation coefficients of the aquaculture sewage with the same generation stage characteristics meets the aquaculture sewage treatment conditions, the characteristic processing unit determines not to perform optimization treatment on the aquaculture sewage; If the comparison of the water surface bubble variation coefficients of the aquaculture sewage with the same generation stage characteristics does not meet the aquaculture sewage treatment conditions, the characteristic processing unit determines to optimize the treatment of the aquaculture sewage.

6. The intelligent sewage treatment system based on the Internet of Things according to claim 5 is characterized in that: The aquaculture wastewater treatment condition is that the water surface bubble variation coefficient does not exceed a preset water surface bubble variation threshold.

7. The intelligent sewage treatment system based on the Internet of Things according to claim 6 is characterized in that: The nitrification tank is also connected to an optimization treatment unit for selecting an optimization treatment method for nitrification treatment of the aquaculture wastewater, wherein: If the generation stage characteristic is a non-dominant stage characteristic, the optimal treatment method for selecting the aquaculture sewage for nitrification treatment is to adjust the flow rate of the aquaculture sewage in the diversion pipe; If the generation stage characteristic is a dominant stage characteristic, the optimal treatment method for nitrification treatment of the aquaculture wastewater is to adjust the air injection mode of each aeration port to pulse injection, and adjust the frequency of the pulse injection based on the aquaculture activity information.

8. The intelligent sewage treatment system based on the Internet of Things according to claim 7 is characterized in that: The optimization treatment unit is used to adjust the flow rate of the aquaculture sewage in the diversion pipe, wherein: Obtaining a bubble area fluctuation curve of the aquaculture sewage; Determining the flow rate of the aquaculture sewage in the diversion pipe based on the standard deviation of the bubble area fluctuation curve; Wherein, the flow rate is negatively correlated with the standard deviation.

9. The intelligent sewage treatment system based on the Internet of Things according to claim 7 is characterized in that: Each aeration port is used to adjust the frequency of the pulsed bubbling, wherein: Determine the frequency of the pulse bubbling according to the feeding amount corresponding to the aquaculture sewage; Wherein, the frequency is positively correlated with the feeding amount.

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