CN111538229A - Aquaculture circulating water treatment system based on accurate control of ammonia nitrogen and dissolved oxygen - Google Patents

Aquaculture circulating water treatment system based on accurate control of ammonia nitrogen and dissolved oxygen Download PDF

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CN111538229A
CN111538229A CN202010351835.7A CN202010351835A CN111538229A CN 111538229 A CN111538229 A CN 111538229A CN 202010351835 A CN202010351835 A CN 202010351835A CN 111538229 A CN111538229 A CN 111538229A
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water
module
control
ammonia nitrogen
quality
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CN111538229B (en
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王建辉
游庆国
申渝
陈猷鹏
陈佳
于歆
齐高相
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Chongqing Nanxiangtai Environmental Protection Technology Research Institute Co ltd
Chongqing University
Chongqing Technology and Business University
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Chongqing Nanxiangtai Environmental Protection Technology Research Institute Co ltd
Chongqing University
Chongqing Technology and Business University
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    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B11/00—Automatic controllers
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    • G05B11/36—Automatic controllers electric with provision for obtaining particular characteristics, e.g. proportional, integral, differential
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    • G05B19/00—Programme-control systems
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    • G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
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    • G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D27/00—Simultaneous control of variables covered by two or more of main groups G05D1/00 - G05D25/00
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Abstract

The invention belongs to the technical field of aquaculture circulating water treatment, and particularly relates to an aquaculture circulating water treatment system based on accurate ammonia nitrogen and dissolved oxygen control, which comprises: the water inlet detection module is used for detecting the quality of inlet water; the processing analysis module is used for generating a preliminary processing scheme; the control management module is used for generating a control signal according to the primary processing scheme; the execution module is used for performing water quality treatment according to the control signal; the water outlet detection module is used for detecting the quality of the outlet water; the water treatment detection module is used for analyzing the quality of the discharged water; the strategy adjusting module is used for generating an adjusting control strategy when the analysis result of the water treatment detection module does not accord with the water outlet standard; the scheme updating module is used for generating a new processing scheme; and the control management module is also used for updating the control signal according to the new processing scheme. By using the system, the quality of water entering the culture area can be ensured.

Description

Aquaculture circulating water treatment system based on accurate control of ammonia nitrogen and dissolved oxygen
Technical Field
The invention belongs to the technical field of aquaculture circulating water treatment, and particularly relates to an aquaculture circulating water treatment system based on accurate ammonia nitrogen and dissolved oxygen control.
Background
The circulating water culture is a novel culture mode which is vigorously developed and popularized in China at present, and the model treats the wastewater generated in a culture pond through a series of water treatment mechanisms, such as a sludge return cleaning mechanism, a DO (dissolved oxygen) mechanism, an ammonia nitrogen treatment mechanism, a water outlet mechanism and the like, and then recycles the wastewater.
By circulating water culture, the problem of water pollution of the existing aquaculture, especially the mariculture in the offshore field, is improved to a great extent, the pollution of culture wastewater discharge to the surrounding environment and water is reduced, and the effect of protecting the environment is achieved; besides, the circulating water aquaculture system can reduce the dependence on high-quality water sources, can adjust the water quality according to the type of aquaculture products and customized adjusting standards, creates different aquaculture environments for different types of aquaculture products, improves the survival rate of the aquaculture products and reduces aquaculture risks.
However, because the water in the circulating water aquaculture system can be recycled when aquaculture is carried out, if the water quality is not purified in place, the aquaculture can be greatly damaged, and the survival rate of the aquaculture can be greatly reduced. In the existing circulating water aquaculture system, after the aquaculture aquatic species is determined, the quality of the wastewater is detected by a sensor, and a processor controls a treatment executing mechanism to treat the wastewater according to the detection data of the wastewater. Such advantage is through the parameter of real-time detection waste water, can adjust actuating mechanism's working strength according to the concrete data of waste water, makes the effect of waste water treatment better.
However, by adopting the above mode, if the wastewater still does not reach the standard after being treated, the system can not be further treated, but the water which does not reach the standard after being treated can be directly put into use, and the ideal culture environment is difficult to achieve.
Disclosure of Invention
Aiming at the problems that in the prior art, the wastewater still does not reach the standard after treatment, the system cannot be further treated, but the water which does not reach the standard after treatment is directly put into use and the ideal culture environment is difficult to achieve, the invention provides the aquaculture circulating water treatment system based on the accurate control of ammonia nitrogen and dissolved oxygen.
The basic scheme provided by the invention is as follows:
aquaculture circulating water treatment system based on accurate control of ammonia nitrogen and dissolved oxygen includes:
the water inlet detection module is used for detecting the quality of inlet water;
the processing and analyzing module is used for generating a primary processing scheme by using a preset intelligent analysis model according to the detection data of the water inlet detection module;
the control management module is used for generating a control signal according to the primary processing scheme;
the execution module is used for performing water quality treatment according to the control signal;
the water outlet detection module is used for detecting the quality of the outlet water;
the water treatment detection module is used for analyzing the quality of the discharged water according to the detection data of the discharged water detection module;
the strategy adjusting module is used for generating an adjusting control strategy according to the detection data of the water outlet detection module when the analysis result of the water treatment detection module does not accord with the water outlet standard;
the scheme updating module is used for generating a new processing scheme according to the adjustment control strategy and the current processing scheme;
the control management module is also used for updating the control signal according to the new processing scheme; and the execution module is also used for performing water quality treatment according to the new control signal after the control signal is updated.
The noun explains: the water outlet standard, i.e. the standard suitable for the water quality of the aquaculture, and the specific indexes of the water outlet standard, can be specifically set by those skilled in the art according to the type of the aquaculture.
Basic scheme theory of operation and beneficial effect:
the water inlet detection module detects the water quality of inlet water, namely wastewater, and the treatment analysis module generates a preliminary treatment scheme by using a preset intelligent analysis model according to detection data of the water inlet detection module; the control management module generates a preliminary control signal according to the preliminary processing scheme; and the execution module is used for processing the water quality according to the preliminary control signal. Thus, a specific water quality treatment scheme can be generated according to the specific detection data of the inflow water.
And then, the effluent detection module performs water quality detection on the effluent, namely the treated water, the water treatment detection module analyzes the quality of the effluent, when the analysis result is that the effluent does not meet the effluent standard, the strategy adjustment module generates an adjustment control strategy, the scheme updating module generates a new treatment scheme according to the adjustment control strategy and the current treatment scheme (when the new treatment scheme is generated for the first time, the primary treatment scheme is the current treatment scheme), the control management module generates a new control signal according to the updated treatment scheme, and the execution module performs water quality treatment according to the new control signal.
Therefore, if the wastewater still does not reach the standard after being treated, the system can update the control signal according to the specific data of the treated wastewater, and further strengthen the treatment of the wastewater. If the wastewater does not reach the standard, the system updates the control signal again on the basis of the previous step, and enhances the treatment of the wastewater again until the treated wastewater reaches the effluent standard.
Compared with the prior art, this application still can not reach standard after waste water treatment, can strengthen the processing to waste water, until the waste water after handling reaches out the water standard, like this, can guarantee to get into the quality of the water in breed district, provide the growing environment of an ideal for the aquatic products.
Further, the water inlet detection data and the water outlet detection data comprise DO and ammonia nitrogen concentration; the system also comprises a storage module, a plan library and an expert experience library, wherein the storage module is used for storing a DO, a relation library of ammonia nitrogen and other parameters, and the plan library and the expert experience library are used for removing the ammonia nitrogen; and the treatment analysis module generates a preliminary treatment scheme by using a preset intelligent analysis model according to the detection data of the water inlet detection module, a DO (data only) and ammonia nitrogen and other parameter relation library, an ammonia nitrogen removal plan library and an expert experience library.
In this way, a processing scheme suitable for the current situation can be obtained quickly.
Further, the control mode of the control management module is a PID control mode based on fuzzy and gain scheduling algorithms.
The PID controller is widely applied, but in practice, a large amount of controller synthesis and engineering parameter setting experience need to be accumulated; fuzzy control is easy to realize, but the formulation of rules has certain subjectivity and randomness; the PID control mode based on the fuzzy and gain scheduling algorithm is adopted, so that the defects of instability, hysteresis and weak anti-interference capability in single control can be overcome; and the design method of the linear control system is introduced into the design of the nonlinear control system, so that the design is simple and the realization is simple and convenient.
The system further comprises a parameter analysis module, a water quality classification module and a water quality classification module, wherein the parameter analysis module is used for analyzing the detection data of the water inlet detection module and classifying the water quality of the inlet water according to the analysis result, and the water quality grades of the inlet water are sequentially classified into A, B, C, D grades from top to bottom;
wherein, the A-grade water quality can be returned to the culture pond through physical treatment; the grade B water quality can be treated by a mechanical and biological method and then mixed with fresh water according to the proportion of not less than 1: N for water inlet; the C level and the D level need to be subjected to biological deep treatment, the time for the C level to be subjected to deep treatment is less than T, and the time for the D level to be subjected to deep treatment is more than or equal to T;
and the processing and analyzing module generates a primary processing scheme by using a preset intelligent analysis model according to the detection data of the water inlet detection module and the analysis result of the parameter analysis module.
Therefore, the parameter analysis module classifies the water quality of the inlet water firstly, and then the operation efficiency can be accelerated when the treatment analysis module generates a preliminary treatment scheme according to the classification grade and the detection data of the water quality. And the grading evaluation of the parameter analysis module and the processing scheme of the processing analysis module run in parallel, so that the operation efficiency of the system can be improved on the whole. The specific values of N and T can be set by those skilled in the art according to the type of aquatic product to be cultured and the specific requirements for water quality.
The system further comprises an effluent analysis module, a water quality classification module and a water quality classification module, wherein the effluent analysis module is used for analyzing the detection data of the effluent detection module and classifying the effluent quality according to an analysis result, the effluent quality classification module is sequentially divided into X, Y, Z, W four grades from top to bottom, X is the grade meeting the effluent standard, and Y, Z, W is the grade not meeting the effluent standard;
the strategy adjusting module stores three sets of adjusting control strategies which are respectively matched with a Y-level water outlet grade, a Z-level water outlet grade and a W-level water outlet grade; and when the water quality of the effluent does not meet the effluent standard, the strategy adjusting module starts a corresponding adjusting control strategy according to the water quality grade analyzed by the effluent analyzing module.
Therefore, by rating the discharged water, whether the quality of the discharged water meets the water discharge standard or not and the degree of unsatisfied water can be quickly known; and then, the strategy adjusting module can carry out rapid analysis according to the water quality grade of the discharged water, and starts a corresponding adjusting control strategy when the water quality does not meet the water discharge standard. In this way, a regulatory control strategy can be initiated that more closely matches the current effluent quality.
The water treatment detection device further comprises an early warning module, wherein an alarm threshold value of each item of detection data is stored in the early warning module, and the early warning module is used for giving an alarm when the analysis result of the water treatment detection module is that the water treatment detection module does not accord with the water outlet standard and certain item of detection data exceeds the alarm threshold value.
If a certain item of detected water outlet data exceeds the alarm threshold value, the corresponding hardware equipment is possibly damaged, and therefore an alarm is given out to remind workers of timely maintaining.
Furthermore, an intelligent analysis model preset in the processing analysis module is a BP neural network model.
Compared with other intelligent analysis models, the BP neural network model has higher fault tolerance rate and stable performance. Moreover, after the BP neural network is put into use, the BP neural network can continuously learn by self in the using process, and the analysis result is more and more accurate.
Further, the control signals comprise sludge reflux control, DO control, ammonia nitrogen treatment control, disinfection and sterilization control, water temperature control and effluent reflux control.
Thus, the water quality can be treated in all directions.
Further, the water inflow detection module comprises a DO sensor, an ammonia nitrogen sensor, a water temperature sensor, a pH sensor, a suspended matter sensor, a TOC sensor and a water flow sensor.
Thus, the quality of the inlet water can be detected in all directions.
Furthermore, the effluent detection module comprises a DO sensor, an ammonia nitrogen sensor, a water temperature sensor, a pH sensor, a suspended matter sensor, a TOC sensor and a water flow sensor.
Thus, the quality of the effluent can be detected in all directions.
Drawings
FIG. 1 is a logic block diagram of an aquaculture circulating water treatment system based on accurate ammonia nitrogen and dissolved oxygen control according to a first embodiment of the present invention.
Detailed Description
The following is further detailed by way of specific embodiments:
example one
As shown in figure 1, the aquaculture circulating water treatment system based on accurate ammonia nitrogen and dissolved oxygen control comprises a water inlet detection module, a parameter analysis module, a water outlet detection module, a water treatment detection module, a water outlet analysis module, a treatment analysis module, a control management module, an execution module, a strategy adjustment module, a scheme updating module, a storage module and an early warning module.
The water inlet detection module and the parameter analysis module are integrated on the water inlet sensing subsystem; the water outlet detection module, the water treatment detection module and the water outlet analysis module are integrated on the water outlet sensing subsystem; the processing and analyzing module, the control management module, the strategy adjusting module, the scheme updating module, the storage module and the early warning module are integrated on the intelligent management subsystem; the execution module is integrated on the intelligent control subsystem.
The water inlet detection module is used for detecting the quality of inlet water. Specifically, the water inlet detection module comprises a DO sensor, an ammonia nitrogen sensor, a water temperature sensor, a pH sensor, a suspended matter (SS) sensor, a TOC sensor and a water flow sensor.
The parameter analysis module is used for analyzing various detection data of the water inlet detection module and grading the water quality of the inlet water according to an analysis result, and in the embodiment, the water quality grade of the inlet water is sequentially classified into A, B, C, D grades from top to bottom. The specific criteria for grading can be set by those skilled in the art according to the aquatic species being cultured.
In the embodiment, the A-grade water quality can be physically treated and then flows back to the culture pond; the grade B water quality can be treated by a mechanical and biological method and then mixed with fresh water according to the proportion of not less than 1: N for water inlet; and the C level and the D level need to be subjected to biological deep treatment, wherein the time for the C level to need the deep treatment is less than T, and the time for the D level to need the deep treatment is more than or equal to T. The specific values of N and T can be set by those skilled in the art according to the type of aquatic product to be cultured and the specific requirements for water quality.
The water outlet detection module is used for detecting the quality of the outlet water; specifically, the effluent detection module comprises a DO sensor, an ammonia nitrogen sensor, a water temperature sensor, a pH sensor, a suspended matter (SS) sensor, a TOC sensor and a water flow sensor.
The effluent analysis module is used for analyzing various detection data of the effluent detection module and grading the effluent quality according to an analysis result, wherein in the embodiment, the effluent quality grades are sequentially classified into X, Y, Z, W grades from top to bottom; wherein X is the grade meeting the effluent standard, and Y, Z, W are the grades not meeting the effluent standard. The specific standard of the water quality classification of the effluent can be specifically set by the technical personnel in the field according to the species of the cultured aquatic products.
The water treatment detection module is used for analyzing the quality of the discharged water according to the detection data of the discharged water detection module.
The early warning module is internally stored with alarm threshold values of all detection data and used for giving an alarm when the analysis result of the water treatment detection module is that the water outlet standard is not met and certain detection data exceeds the alarm threshold values. If a certain item of detected water outlet data exceeds the alarm threshold value, the corresponding hardware equipment is possibly damaged, and therefore an alarm is given out to remind workers of timely maintaining.
The storage module is used for storing a relation library of DO, ammonia nitrogen and other parameters, and is also used for storing a pre-plan library for removing the ammonia nitrogen and an expert experience library.
And the treatment analysis module is used for generating a preliminary treatment scheme by using a preset intelligent analysis model according to the detection data of the water inlet detection module, the water quality grade of inlet water, a DO (DO) and ammonia nitrogen and other parameter relation library, an ammonia nitrogen removal plan library and an expert experience library. In this embodiment, the preset intelligent analysis model is a BP neural network model. Compared with other intelligent analysis models, the BP neural network model has higher fault tolerance rate and stable performance. Moreover, after the BP neural network is put into use, the BP neural network can continuously learn by self in the using process, and the analysis result is more and more accurate.
The control management module is used for generating a control signal according to a primary treatment scheme, and particularly controls water quality treatment in a PID control mode based on a fuzzy and gain scheduling algorithm, wherein the PID control mode comprises sludge backflow control, DO control, ammonia nitrogen treatment control, disinfection and sterilization control, water temperature control and effluent backflow control. The PID controller is widely applied, but in practice, a large amount of controller synthesis and engineering parameter setting experience need to be accumulated; fuzzy control is easy to realize, but the formulation of rules has certain subjectivity and randomness; the PID control mode based on the fuzzy and gain scheduling algorithm is adopted, so that the defects of instability, hysteresis and weak anti-interference capability in single control can be overcome; and the design method of the linear control system is introduced into the design of the nonlinear control system, so that the design is simple and the realization is simple and convenient.
Three sets of adjusting control strategies are stored in the strategy adjusting module and are respectively matched with the Y-level water outlet grade, the Z-level water outlet grade and the W-level water outlet grade. And when the water quality does not meet the water outlet standard, the strategy adjusting module starts a corresponding adjusting control strategy according to the water quality grade analyzed by the water outlet analyzing module. The specific index of the effluent standard can be specifically formulated by the skilled person according to the species of the aquatic product to be cultured.
And the scheme updating module is used for generating a new processing scheme according to the adjustment control strategy and the current processing scheme. The control management module is also used for updating the control signal according to the new processing scheme.
The execution module is used for performing water quality treatment according to the control signal; and the water quality control device is also used for performing water quality treatment according to the new control signal after the control signal is updated. In this embodiment, the control management module includes specific execution mechanisms for sludge backflow control, DO control, ammonia nitrogen treatment control, disinfection and sterilization control, water temperature control, and effluent backflow control. The specific type of the actuating mechanism can be the existing type.
When the system is used, the water inlet detection module detects the water quality of inlet water, and the processing and analyzing module generates a preliminary processing scheme by using a preset intelligent analysis model according to the detection data of the water inlet detection module; the control management module generates a preliminary control signal according to the preliminary processing scheme; and the execution module is used for processing the water quality according to the preliminary control signal.
And then, the effluent detection module performs water quality detection on the effluent, namely the treated water, the water treatment detection module analyzes the quality of the effluent, when the analysis result is that the effluent does not meet the effluent standard, the strategy adjustment module generates an adjustment control strategy, the scheme updating module updates the treatment scheme, the control management module generates a new control signal according to the updated treatment scheme, and the execution module performs water quality treatment according to the new control signal.
If the wastewater still does not reach the standard after being treated, the system updates the control signal according to the specific data of the treated wastewater, so as to strengthen the treatment of the wastewater. If the wastewater does not reach the standard, the system updates the control signal again on the basis of the previous step, and enhances the treatment of the wastewater again until the treated wastewater reaches the effluent standard.
Compared with the prior art, this application still can not reach standard after waste water treatment, can strengthen the processing to waste water, until the waste water after handling reaches out the water standard, like this, can guarantee to get into the quality of the water in breed district, provide the growing environment of an ideal for the aquatic products.
Example two
Different from the first embodiment, the first embodiment further comprises an impurity detection unit and an execution controller, wherein the impurity detection unit is used for detecting the impurity concentration on the surface of the culture pond; in the embodiment, the water inlet pipes and the water outlet pipes are positioned at two opposite sides of the culture pond, the water inlet pipes are divided into M from top to bottom, the water outlet pipes are also divided into M from top to bottom, each water inlet pipe and each water outlet pipe are respectively and electrically connected with the execution controller, and the impurity detection unit is electrically connected with the execution controller; the execution controller is used for controlling the water inlet speed of the water inlet pipe and controlling the water outlet speed of the water outlet pipe.
In the water changing process, when the detection data fed back by the impurity detection unit is larger than a preset threshold value, the execution controller controls the water outlet speeds of the M water outlet pipes from top to bottom to be sequentially reduced, and simultaneously controls the water inlet speeds of the M water inlet pipes from top to bottom to be sequentially reduced, and the water inlet speeds of the water inlet pipes at the same height are equal to the water outlet speeds of the water outlet pipes; otherwise, the execution controller controls the water inlet speeds of all the water inlet pipes to be the same, and controls the water outlet speeds of all the water outlet pipes to be the same.
When the detection data detected by the impurity detection unit is greater than the preset threshold value, the impurity concentration on the surface of the culture pond is higher, at the moment, if the water inlet speeds of the water inlet pipes are consistent, the water outlet speeds of the water outlet pipes are consistent, and in the water changing process, a large amount of impurities at the bottom can float upwards, so that the growth of aquatic products is not facilitated.
Therefore, at this time, the execution controller controls the water outlet speeds of the M water outlet pipes to be sequentially reduced from top to bottom, and simultaneously controls the water inlet speeds of the M water inlet pipes to be sequentially reduced from top to bottom, and the water inlet speed of the water inlet pipe with the same height is equal to the water outlet speed of the water outlet pipe. Therefore, in the process of water changing efforts of the culture pond, the water in the culture pond is divided into M layers from top to bottom, and each layer of water is changed relatively independently. Like this, at the water changing in-process, the impurity of bottom can be relatively gentle outwards flow, and then avoids the condition of the abundant come-up of impurity, further ensures the growth of aquatic products.
The foregoing is merely an example of the present invention, and common general knowledge in the field of known specific structures and characteristics is not described herein in any greater extent than that known in the art at the filing date or prior to the priority date of the application, so that those skilled in the art can now appreciate that all of the above-described techniques in this field and have the ability to apply routine experimentation before this date can be combined with one or more of the present teachings to complete and implement the present invention, and that certain typical known structures or known methods do not pose any impediments to the implementation of the present invention by those skilled in the art. It should be noted that, for those skilled in the art, without departing from the structure of the present invention, several changes and modifications can be made, which should also be regarded as the protection scope of the present invention, and these will not affect the effect of the implementation of the present invention and the practicability of the patent. The scope of the claims of the present application shall be determined by the contents of the claims, and the description of the embodiments and the like in the specification shall be used to explain the contents of the claims.

Claims (10)

1. Aquaculture circulating water treatment system based on accurate control of ammonia nitrogen and dissolved oxygen, its characterized in that includes:
the water inlet detection module is used for detecting the quality of inlet water;
the processing and analyzing module is used for generating a primary processing scheme by using a preset intelligent analysis model according to the detection data of the water inlet detection module;
the control management module is used for generating a control signal according to the primary processing scheme;
the execution module is used for performing water quality treatment according to the control signal;
the water outlet detection module is used for detecting the quality of the outlet water;
the water treatment detection module is used for analyzing the quality of the discharged water according to the detection data of the discharged water detection module;
the strategy adjusting module is used for generating an adjusting control strategy according to the detection data of the water outlet detection module when the analysis result of the water treatment detection module does not accord with the water outlet standard;
the scheme updating module is used for generating a new processing scheme according to the adjustment control strategy and the current processing scheme;
the control management module is also used for updating the control signal according to the new processing scheme; and the execution module is also used for performing water quality treatment according to the new control signal after the control signal is updated.
2. The aquaculture circulating water treatment system based on accurate ammonia nitrogen and dissolved oxygen control of claim 1, wherein: the water inlet detection data and the water outlet detection data comprise DO and ammonia nitrogen concentration; the system also comprises a storage module, a plan library and an expert experience library, wherein the storage module is used for storing a DO, a relation library of ammonia nitrogen and other parameters, and the plan library and the expert experience library are used for removing the ammonia nitrogen; and the treatment analysis module generates a preliminary treatment scheme by using a preset intelligent analysis model according to the detection data of the water inlet detection module, a DO (data only) and ammonia nitrogen and other parameter relation library, an ammonia nitrogen removal plan library and an expert experience library.
3. The aquaculture circulating water treatment system based on accurate ammonia nitrogen and dissolved oxygen control of claim 1, wherein: the control mode of the control management module is a PID control mode based on fuzzy and gain scheduling algorithms.
4. The aquaculture circulating water treatment system based on accurate ammonia nitrogen and dissolved oxygen control of claim 1, wherein: the system also comprises a parameter analysis module which is used for analyzing the detection data of the water inlet detection module and grading the water quality of inlet water according to the analysis result, wherein the water quality grade of the inlet water is sequentially divided into A, B, C, D grades from top to bottom;
wherein, the A-grade water quality can be returned to the culture pond through physical treatment; the grade B water quality can be treated by a mechanical and biological method and then mixed with fresh water according to the proportion of not less than 1: N for water inlet; the C level and the D level need to be subjected to biological deep treatment, the time for the C level to be subjected to deep treatment is less than T, and the time for the D level to be subjected to deep treatment is more than or equal to T;
and the processing and analyzing module generates a primary processing scheme by using a preset intelligent analysis model according to the detection data of the water inlet detection module and the analysis result of the parameter analysis module.
5. The aquaculture circulating water treatment system based on accurate ammonia nitrogen and dissolved oxygen control of claim 1, wherein: the system also comprises an effluent analysis module, a water quality classification module and a water quality classification module, wherein the effluent analysis module is used for analyzing the detection data of the effluent detection module and classifying the effluent quality according to an analysis result, the effluent quality classification module sequentially divides the effluent quality into X, Y, Z, W four grades from top to bottom, X is the grade meeting the effluent standard, and Y, Z, W is the grade not meeting the effluent standard;
the strategy adjusting module stores three sets of adjusting control strategies which are respectively matched with a Y-level water outlet grade, a Z-level water outlet grade and a W-level water outlet grade; and when the water quality of the effluent does not meet the effluent standard, the strategy adjusting module starts a corresponding adjusting control strategy according to the water quality grade analyzed by the effluent analyzing module.
6. The aquaculture circulating water treatment system based on accurate ammonia nitrogen and dissolved oxygen control of claim 1, wherein: the water treatment detection device also comprises an early warning module, wherein an alarm threshold value of each item of detection data is stored in the early warning module, and the early warning module is used for giving an alarm when the analysis result of the water treatment detection module does not accord with the water outlet standard and certain item of detection data exceeds the alarm threshold value.
7. The aquaculture circulating water treatment system based on accurate ammonia nitrogen and dissolved oxygen control of claim 1, wherein: and the intelligent analysis model preset in the processing analysis module is a BP neural network model.
8. The aquaculture circulating water treatment system based on accurate ammonia nitrogen and dissolved oxygen control of claim 1, wherein: the control signals comprise sludge reflux control, DO control, ammonia nitrogen treatment control, disinfection and sterilization control, water temperature control and effluent reflux control.
9. The aquaculture circulating water treatment system based on accurate ammonia nitrogen and dissolved oxygen control of claim 1, wherein: the water inlet detection module comprises a DO sensor, an ammonia nitrogen sensor, a water temperature sensor, a pH sensor, a suspended matter sensor, a TOC sensor and a water flow sensor.
10. The aquaculture circulating water treatment system based on accurate ammonia nitrogen and dissolved oxygen control of claim 1, wherein: the effluent detection module comprises a DO sensor, an ammonia nitrogen sensor, a water temperature sensor, a pH sensor, a suspended matter sensor, a TOC sensor and a water flow sensor.
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CN115403222B (en) * 2022-09-16 2023-11-14 广东海洋大学 Cultivation tail water treatment system and method
CN117164103A (en) * 2023-07-03 2023-12-05 广西智碧达智慧环境科技有限公司 Intelligent control method, terminal and system of domestic sewage treatment system

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