An adaptive water zone purification conditioning control system

Abstract

The application discloses a self-adaptive water area purification regulation control system and relates to the technical field of ecological environmental protection. The water quality type of a target water area is determined through water quality information, the water quality type is divided into low-temperature oxygen-deficient type, low-temperature oxygen-suitable type, low-temperature oxygen-rich type, temperature-suitable oxygen-deficient type, temperature-suitable oxygen-suitable type, temperature-suitable oxygen-rich type, high-temperature oxygen-deficient type, high-temperature oxygen-suitable type and high-temperature oxygen-rich type, target model parameters are called according to different water quality types, model parameters of a preset composite neural network model are set as the target model parameters to obtain a target model, power generation information and the water quality information are taken as inputs of the target model, outputs of the target model are taken as working parameters of a control module, the working power and the working frequency of a temperature regulating device and an aeration device are accurately controlled, and thus the microbial biofilm forming effect and the water quality purification effect are optimized.

Description

TECHNICAL FIELD

[0001] The present application belongs to the field of ecological environmental protection technology, and particularly relates to a self-adaptive water purification regulation control system. BACKGROUND

[0002] With the influence of factors such as population growth, economic development and unreasonable industrial structure, the non-point source pollution such as household garbage, chemical fertilizer, pesticide and livestock and poultry manure generated in agricultural production will enter the river and lake water bodies along with the surface runoff, causing the deterioration of water quality and water body eutrophication. The river and lake purifier is a kind of purifier which provides sufficient attachment environment for the growth of microorganisms by using the huge membrane surface area of biological filler, constructs an ecological community by using microorganisms and plankton, effectively promotes the adsorption, absorption and decomposition of pollutants, integrates a variety of biochemical treatment processes such as aeration and reoxygenation, hydrolysis and acidification, anoxic treatment and aerobic treatment, and consumes the total COD, ammonia nitrogen and total phosphorus in the water body. The traditional lake purifier cannot control the change of water temperature and cannot effectively guarantee the microorganism biofilm effect and water purification effect. In order to solve this problem, a temperature regulating device and an aeration device are used to control the water temperature and oxygen content of the water area, so as to control the microorganism biofilm effect and water purification effect.

[0003] However, the above-mentioned technology uses the temperature regulating device and the aeration device to control the water temperature and oxygen content of the water area, and cannot accurately control the working power and working frequency of the temperature regulating device and the aeration device, so that the microorganism biofilm effect and water purification effect cannot reach the best. SUMMARY

[0004] The purpose of the present application is to solve the problem, and a self-adaptive water purification regulation control system is proposed.

[0005] In the first aspect of the present application, a self-adaptive water purification regulation control system is first proposed, and the purification system comprises a collection and storage module, a model training module and a control module, wherein:

[0006] The collection and storage module collects water quality information of a target water area, and determines the water quality type of the target water area according to the water quality information; the water quality information includes temperature and dissolved oxygen content; the target water area is the water area that needs to be purified by the control module;

[0007] The model training module calls target model parameters according to the water quality type, sets the model parameters of a preset composite neural network model as the target model parameters to obtain a target model;

[0008] The power generation information and the water quality information are taken as inputs of the target model, and an output of the target model is taken as a working parameter of the control module; the power generation information is current energy consumption and power storage of the target water area collected by the collection and storage module; the target model parameter has a one-to-one correspondence with the water quality type, and a model training set of the target model parameter is historical power generation information and historical water quality information collected when the target water area is in the water quality type;

[0009] The control module controls working power and working frequency of the temperature adjusting device and the aeration device according to the working parameter.

[0010] Optionally, the water quality information includes temperature and dissolved oxygen content, wherein the temperature type division includes low temperature, suitable temperature and high temperature, and the dissolved oxygen content type division includes oxygen deficiency, suitable oxygen and oxygen enrichment.

[0011] The water quality type includes low-temperature oxygen-deficient type, low-temperature suitable-oxygen type, low-temperature oxygen-enriched type, suitable-temperature oxygen-deficient type, suitable-temperature suitable-oxygen type, suitable-temperature oxygen-enriched type, high-temperature oxygen-deficient type, high-temperature suitable-oxygen type and high-temperature oxygen-enriched type.

[0012] Optionally, the collection and storage module includes a temperature type division module, and the temperature type division module includes:

[0013] The water body temperature module obtains temperature values of different water layers in a vertical direction of the water body within a fixed time through a water temperature sensor to obtain a water body temperature deviation value.

[0014] The water area temperature module obtains actual temperatures of a water surface of the target water area at different times and corresponding preset temperatures within a fixed time to obtain a water area temperature deviation coefficient.

[0015] The processing and analysis module obtains a temperature coefficient according to the water body temperature deviation value and the water area temperature deviation coefficient.

[0016] The comparison and determination module compares the temperature coefficient with a preset stage threshold value.

[0017] When the temperature coefficient is less than a first threshold value, it is determined that the temperature of the target water area is low temperature.

[0018] When the temperature coefficient is not less than the first threshold value but less than a second threshold value, it is determined that the temperature of the target water area is suitable temperature.

[0019] When the temperature coefficient is not less than the second threshold value, it is determined that the temperature of the target water area is high temperature.

[0020] Optionally, the water body temperature module includes: obtaining temperature values of different water layers in a vertical direction of the water body through a water temperature sensor, and marking D k, k represents the number of temperature values of different water layers, k ∈ [0, F], the temperature difference between two adjacent water layers is calculated, and the calculation expression is W e = |D k -D k-1 |; the water body temperature deviation value is calculated, and the calculation expression is: In the formula, ER is the water body temperature deviation value;

[0021] The water area temperature module comprises: acquiring actual temperatures of water surfaces of the target water area at different times within a fixed time and corresponding preset temperatures, and establishing sets of the actual temperatures of water surfaces of the target water area at different times and the corresponding preset temperatures, respectively, and marking them as H and Y, respectively, there are j data sets in the sets H and Y;

[0022] The data in the sets H and Y are one-to-one corresponding and the difference between the actual temperature and the corresponding preset temperature in the set is calculated, when the difference is less than 0, the calculation result is marked as 0, when the difference is not less than 0, the calculation result is marked as 1, the number of marks 0 and the number of marks 1 in the difference are counted, and are represented as xc and xd respectively, and the water area temperature deviation coefficient is calculated, and the calculation expression is: In the formula, RE is the water area temperature deviation coefficient;

[0023] The processing and analysis module comprises: the water body temperature deviation value and the water area temperature deviation coefficient are weighted and summed to obtain a temperature coefficient, and the calculation expression is: PU = a1 × ER + a2 × RE; in the formula, PU is the temperature coefficient, a1 and a2 are preset proportion coefficients of the water body temperature deviation value and the water area temperature deviation coefficient respectively, and a1 and a2 are greater than 0.

[0024] Optionally, the collection and storage module comprises a dissolved oxygen amount type division module, and the dissolved oxygen amount type division module comprises:

[0025] An oxygen consumption module: acquiring oxygen content of the target water area at different times within a fixed time and a preset oxygen content to obtain an oxygen consumption coefficient;

[0026] An oxygen production module: acquiring oxygen content delivered by the target water area at different times within a fixed time to obtain an oxygen content production coefficient;

[0027] A calculation module: obtaining an oxygen content coefficient according to the oxygen consumption coefficient and the oxygen content production coefficient;

[0028] A comparison processing module: comparing the oxygen content coefficient with a preset stage threshold value;

[0029] When the oxygen content coefficient is less than a first threshold value, it is determined that the target water area has a dissolved oxygen amount of hypoxia.

[0030] When the oxygen content coefficient is not less than the first threshold value but less than the second threshold value, the target water area dissolved oxygen content is determined as aerobic;

[0031] When the oxygen content coefficient is not less than the second threshold value, the target water area dissolved oxygen content is determined as oxygen-rich.

[0032] Optionally, the oxygen consumption module comprises: obtaining the oxygen content of the target water area at different time points within a fixed time and a preset oxygen content, and marking them as Q 实 d and Q 预 d , d represents the number of temperature values of different water layers, d∈[0, m], and d is a positive integer; the oxygen consumption coefficient is calculated, and the calculation expression is:

[0033] The oxygen production module comprises: obtaining the oxygen content delivered by the target water area at different time points within a fixed time, and marking them as J n , n represents the number of oxygen content delivered at different time points, n∈[0, t], and the average value of J n is calculated as the oxygen content production coefficient, and the calculation expression is:

[0034] The calculation module comprises: weighting and summing the oxygen consumption coefficient and the oxygen content production coefficient to obtain the oxygen content coefficient, and the calculation expression is: BF=b1×FG+b2×TG; in the formula, BF is the oxygen content coefficient, b1 and b2 are preset proportional coefficients of the oxygen consumption coefficient and the oxygen content production coefficient respectively, and b1 and b2 are both greater than 0.

[0035] Optionally, the model training module calls target model parameters according to the water quality type, sets the model parameters of the preset composite neural network model as the target model parameters to obtain a target model.

[0036] According to the water quality type, the target model parameters corresponding to the water quality type are called, and the model parameters in the original preset composite neural network model are replaced with the target model parameters corresponding to the water quality type; the target model parameters corresponding to the water quality type are used as the model parameters in the new preset composite neural network model for training to obtain a target model.

[0037] The beneficial effects of the present application are:

[0038] This invention proposes an adaptive water purification and regulation control system. It determines the water quality type of the target water area through water quality information, calls the target model parameters according to the water quality type, sets the model parameters of the preset composite neural network model as the target model parameters to obtain the target model, and then uses power generation information and water quality information as inputs to the target model to obtain the output of the target model as the working parameters of the control module. This allows for precise control of the working power and frequency of the temperature regulation device and the aeration device, so that the microbial biofilm formation effect and water purification effect are optimized. Attached Figure Description

[0039] The present invention will now be further described with reference to the accompanying drawings.

[0040] Figure 1 A framework diagram of an adaptive water purification and regulation control system is provided for an embodiment of the present invention;

[0041] Figure 2 for Figure 1 Framework diagram of the data acquisition and storage module;

[0042] Figure 3 for Figure 2 Framework diagram of the temperature type classification module;

[0043] Figure 4 for Figure 2 Framework diagram of the dissolved oxygen type classification module. Detailed Implementation

[0044] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. The term "and / or" in this document is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and B can represent: A alone, A and B simultaneously, and B alone. Furthermore, descriptions involving "first," "second," etc., in this invention are for descriptive purposes only and should not be construed as indicating or implying their relative importance or implicitly specifying the number of technical features indicated. Thus, features defined with "first" or "second" can explicitly or implicitly include at least one of those features. Additionally, the technical solutions of the various embodiments can be combined with each other, but this must be based on the ability of those skilled in the art to implement them. When the combination of technical solutions is contradictory or cannot be implemented, it should be considered that such a combination of technical solutions does not exist and is not within the scope of protection claimed by the present invention.

[0045] Based on the embodiments of this invention, all other embodiments obtained by those skilled in the art without inventive effort are within the scope of protection of this invention.

[0046] The embodiment of the present application provides a self-adaptive water area purification adjustment control system. Figure 1 , Figure 1 A framework diagram of a self-adaptive water area purification adjustment control system provided by the embodiment of the present application is shown in the figure, and the purification system comprises a collection storage module, a model training module and a control module, wherein:

[0047] The collection storage module collects water quality information of a target water area, and determines a water quality type of the target water area according to the water quality information; the water quality information comprises temperature and dissolved oxygen content; the target water area is a water area that needs to be purified by the control module;

[0048] The model training module calls target model parameters according to the water quality type, sets model parameters of a preset composite neural network model as the target model parameters to obtain a target model;

[0049] The power generation information and the water quality information are taken as inputs of the target model, and outputs of the target model are taken as working parameters of the control module; the power generation information is current energy consumption and power storage of the target water area collected by the collection storage module; the target model parameters have a one-to-one correspondence with the water quality type, and a model training set of the target model parameters is historical power generation information and historical water quality information collected when the target water area is in the water quality type;

[0050] The control module controls working power and working frequency of the temperature adjusting device and the aeration device according to the working parameters.

[0051] In an implementation manner, the water quality type of the target water area is determined through the water quality information, target model parameters are called according to the water quality type, a target model is obtained by setting model parameters of a preset composite neural network model as the target model parameters, the power generation information and the water quality information are taken as inputs of the target model, and outputs of the target model are taken as working parameters of the control module, so that the working power and the working frequency of the temperature adjusting device and the aeration device are accurately controlled, and the microbial biofilm formation effect and the water quality purification effect are optimized.

[0052] In an embodiment, the water quality information comprises temperature and dissolved oxygen content, wherein the temperature type division comprises low temperature, suitable temperature and high temperature, and the dissolved oxygen content type division comprises oxygen deficiency, suitable oxygen and oxygen enrichment;

[0053] The water quality type comprises low-temperature oxygen deficiency type, low-temperature suitable oxygen type, low-temperature oxygen enrichment type, suitable-temperature oxygen deficiency type, suitable-temperature suitable oxygen type, suitable-temperature oxygen enrichment type, high-temperature oxygen deficiency type, high-temperature suitable oxygen type and high-temperature oxygen enrichment type.

[0054] In an implementation manner, the water quality information is divided into different types according to temperature and dissolved oxygen content, which can provide more accurate water quality evaluation, different temperature and dissolved oxygen content levels have different influences on the water ecosystem and the water quality purification process, and therefore the water quality condition can be more accurately evaluated by combining the temperature and the dissolved oxygen content

[0055] In one embodiment, the method for temperature type division is:

[0056] The acquisition storage module comprises a temperature type division module, and the temperature type division module comprises:

[0057] The water body temperature module: obtains temperature values of different water layers in a vertical direction of the water body within a fixed time through a water temperature sensor to obtain a water body temperature deviation value;

[0058] The water area temperature module: obtains actual temperatures of a water surface of the target water area at different times within a fixed time and corresponding preset temperatures to obtain a water area temperature deviation coefficient;

[0059] The processing and analysis module: obtains a temperature coefficient according to the water body temperature deviation value and the water area temperature deviation coefficient;

[0060] The comparison and determination module: compares the temperature coefficient with a preset stage threshold value;

[0061] When the temperature coefficient is less than a first threshold value, it is determined that the temperature of the target water area is low;

[0062] When the temperature coefficient is not less than the first threshold value but less than a second threshold value, it is determined that the temperature of the target water area is moderate;

[0063] When the temperature coefficient is not less than the second threshold value, it is determined that the temperature of the target water area is high.

[0064] In one implementation, the specific numerical value of the preset stage threshold value can be set by a technician according to experience.

[0065] In one embodiment, the water body temperature module comprises: obtaining temperature values of different water layers in a vertical direction of the water body through a water temperature sensor, and marking the temperature values as D k , k represents the number of the temperature values of the different water layers, k∈[0, F], calculating the temperature difference between two adjacent water layers, and the calculation expression is W e =|D k -D k-1 |; calculating the water body temperature deviation value, and the calculation expression is: In the formula, ER is the water body temperature deviation value;

[0066] The water area temperature module comprises: obtaining actual temperatures of a water surface of the target water area at different times within a fixed time and corresponding preset temperatures, and establishing sets of the actual temperatures of the water surface of the target water area at different times and the corresponding preset temperatures, respectively, and marking them as H and Y, respectively, and there are j data sets in the sets H and Y;

[0067] The data in the set H and Y are one-to-one corresponding, and the difference between the actual temperature in the set and the corresponding preset temperature is calculated. When the difference is less than 0, the calculation result is marked as 0, and when the difference is not less than 0, the calculation result is marked as 1. The number of marks 0 and the number of marks 1 in the difference are counted and represented as xc and xd respectively. The water area temperature deviation coefficient is calculated, and the expression for calculation is: In the formula, RE is the water area temperature deviation coefficient.

[0068] The processing analysis module includes: the water body temperature deviation value and the water area temperature deviation coefficient are weighted and summed to obtain a temperature coefficient, and the expression for calculation is: PU=a1*ER+a2*RE; In the formula, PU is the temperature coefficient, a1 and a2 are preset proportional coefficients of the water body temperature deviation value and the water area temperature deviation coefficient respectively, and a1 and a2 are both greater than 0.

[0069] In an implementation, the method of obtaining the temperature coefficient can be obtained by multi-level temperature data analysis, considering the comparison between the actual and preset temperature, quantifying the temperature deviation, and comprehensively analyzing the temperature coefficient, so as to provide accurate basis for water temperature control, and help to improve the water purification efficiency.

[0070] In one embodiment, the collection storage module includes a dissolved oxygen amount type division module, and the dissolved oxygen amount type division module includes:

[0071] The oxygen consumption module: obtains the oxygen content of the target water area at different times within a fixed time and the preset oxygen content, and obtains an oxygen consumption coefficient;

[0072] The oxygen production module: obtains the oxygen content delivered by the target water area at different times within a fixed time, and obtains an oxygen content production coefficient;

[0073] The calculation module: obtains an oxygen content coefficient according to the oxygen consumption coefficient and the oxygen content production coefficient;

[0074] The comparison processing module: compares the oxygen content coefficient with the preset stage threshold value;

[0075] When the oxygen content coefficient is less than the first threshold value, it is determined that the target water area has a dissolved oxygen amount of hypoxia;

[0076] When the oxygen content coefficient is not less than the first threshold value but less than the second threshold value, it is determined that the target water area has a dissolved oxygen amount of eutrophy;

[0077] When the oxygen content coefficient is not less than the second threshold value, it is determined that the target water area has a dissolved oxygen amount of eutrophy.

[0078] In an implementation, the specific value of the preset stage threshold value can be set by the technician according to experience.

[0079] The oxygen consumption module comprises: obtaining oxygen content of the target water area at different time points within a fixed time and preset oxygen content, and marking as Q 实 d and Q 预 d d represents the number of temperature values of different water layers, d is an integer in [0, m], and d is a positive integer; the oxygen consumption coefficient is calculated, and the calculation expression is:

[0080] The oxygen production module comprises: obtaining the delivered oxygen content of the target water area at different time points within a fixed time, and marking as J n n represents the number of delivered oxygen contents at different time points, n is an integer in [0, t], and the average value of J n is calculated as the oxygen content production coefficient, and the calculation expression is:

[0081] The calculation module comprises: weighting and summing the oxygen consumption coefficient and the oxygen content production coefficient to obtain the oxygen content coefficient, and the calculation expression is: BF = b1 x FG + b2 x TG; wherein, BF is the oxygen content coefficient, b1 and b2 are preset proportional coefficients of the oxygen consumption coefficient and the oxygen content production coefficient respectively, and b1 and b2 are greater than 0.

[0082] In an implementation manner, the oxygen content coefficient is obtained by the method, the supply and demand of oxygen can be comprehensively considered, which helps to more effectively adjust the working parameters of the aeration device, improve the oxygen content in the water body, and thus improve the water quality and ecological environment of the water area.

[0083] In an embodiment, the model training module calls the target model parameters according to the water quality type, sets the model parameters of the preset composite neural network model as the target model parameters to obtain a target model.

[0084] The target model parameters corresponding to the water quality type are called according to the water quality type, and the model parameters in the original preset composite neural network model are replaced with the target model parameters corresponding to the water quality type; the target model parameters corresponding to the water quality type are trained as the model parameters in the new preset composite neural network model to obtain a target model.

[0085] In an implementation manner, in this way, a more accurate target model is obtained, and thus more accurate subsequent working parameters are obtained.

[0086] The above describes one embodiment of the present application in detail, but the content is only the preferred embodiment of the present application, and cannot be considered as limiting the implementation range of the present application. Any equivalent changes and improvements made within the scope of the present application should still belong to the patent coverage range of the present application.

Claims

1. An adaptive water zone purification conditioning control system, characterized by, The control system comprises a collection and storage module, a model training module and a control module, wherein: The collection and storage module collects water quality information of a target water area and determines a water quality type of the target water area according to the water quality information; the water quality information comprises temperature and dissolved oxygen content; the target water area is a water area that needs to be purified by the control module; The model training module calls target model parameters according to the water quality type, sets model parameters of a preset composite neural network model as the target model parameters to obtain a target model; The output of the target model obtained by taking power generation information and the water quality information as inputs of the target model is used as working parameters of the control module; the power generation information is current energy consumption and power storage of the target water area collected by the collection and storage module; the target model parameters have a one-to-one correspondence with the water quality type, and a model training set of the target model parameters is historical power generation information and historical water quality information collected when the target water area is in the water quality type; The control module controls working power and working frequency of a temperature regulating device and an aeration device according to the working parameters; The water quality information comprises temperature and dissolved oxygen content, wherein temperature type classification comprises low temperature, suitable temperature and high temperature, and dissolved oxygen content type classification comprises oxygen deficiency, suitable oxygen and oxygen enrichment; The water quality type comprises low temperature and oxygen deficiency, low temperature and suitable oxygen, low temperature and oxygen enrichment, suitable temperature and oxygen deficiency, suitable temperature and suitable oxygen, suitable temperature and oxygen enrichment, high temperature and oxygen deficiency, high temperature and suitable oxygen, and high temperature and oxygen enrichment; The collection and storage module comprises a temperature type classification module, and the temperature type classification module comprises: A water body temperature module: obtains temperature values of different water layers in a vertical direction of a water body within a fixed time through a water temperature sensor to obtain a water body temperature deviation value; A water area temperature module: obtains actual temperatures and corresponding preset temperatures of a water body surface of the target water area at different times within a fixed time to obtain a water area temperature deviation coefficient; A processing and analysis module: obtains a temperature coefficient according to the water body temperature deviation value and the water area temperature deviation coefficient; A comparison and determination module: compares the temperature coefficient with a preset stage threshold value; When the temperature coefficient is less than a first threshold value, it is determined that the temperature of the target water area is low temperature; When the temperature coefficient is not less than the first threshold value but less than a second threshold value, it is determined that the temperature of the target water area is suitable temperature; When the temperature coefficient is not less than the second threshold value, it is determined that the temperature of the target water area is high temperature; The collection and storage module comprises a dissolved oxygen content type classification module, and the dissolved oxygen content type classification module comprises: An oxygen consumption module: obtains oxygen content of the target water area at different times within a fixed time and a preset oxygen content to obtain an oxygen consumption coefficient; An oxygen manufacturing module: obtains oxygen content delivered by the target water area at different times within a fixed time to obtain an oxygen content manufacturing coefficient; A calculation module: obtains an oxygen content coefficient according to the oxygen consumption coefficient and the oxygen content manufacturing coefficient; A comparison and processing module: compares the oxygen content coefficient with a preset stage threshold value; When the oxygen content coefficient is less than a first threshold value, it is determined that the dissolved oxygen content of the target water area is oxygen deficiency. determining that the target water area dissolved oxygen content is aerobic when the oxygen content coefficient is not less than a first threshold value but less than a second threshold value; determining that the target water area dissolved oxygen content is oxygen-rich when the oxygen content coefficient is not less than the second threshold value; The model training module calls target model parameters according to the water quality type, sets the model parameters of the preset composite neural network model as the target model parameters to obtain a target model, and includes the following steps: According to the water quality type, the target model parameters corresponding to the water quality type are called, and the original model parameters in the preset composite neural network model are replaced with the target model parameters corresponding to the water quality type. The target model parameters corresponding to the water quality type are used as the model parameters in the new preset composite neural network model for training to obtain a target model.

2. An adaptive water zone purification conditioning control system according to claim 1, wherein, The water body temperature module comprises: acquiring temperature values of different water layers in the vertical direction of the water body by a water temperature sensor, and marking , the numbers representing the temperature values of the different water layers, , calculating the temperature difference between two adjacent water layers, and the calculation expression is ; calculating the water body temperature deviation value, and the calculation expression is: , wherein, the water body temperature deviation value; The water area temperature module comprises: acquiring actual temperatures of water surfaces of the target water area at different time points within a fixed time and corresponding preset temperatures, and establishing sets of the actual temperatures of the water surfaces of the target water area at different time points and the corresponding preset temperatures respectively, and marking them as and , the set and has data sets; The data in the set and are one-to-one corresponding and the difference between the actual temperature in the set and the corresponding preset temperature is calculated, when the difference is less than 0, the calculation result is marked as 0, when the difference is not less than 0, the calculation result is marked as 1, the number of the difference marked as 0 and the number of the difference marked as 1 are counted and represented as and respectively, the water area temperature deviation coefficient is calculated, and the expression for calculation is: ; in the formula, the water area temperature deviation coefficient; The processing and analyzing module comprises: weighting and summing the water body temperature deviation value and the water area temperature deviation coefficient to obtain a temperature coefficient, and the expression for calculation is: ; wherein, is the temperature coefficient, , is a preset proportional coefficient of the water body temperature deviation value and the water area temperature deviation coefficient respectively, and , are both greater than 0.

3. The adaptive water area purification regulation control system according to claim 1, characterized in that, The oxygen consumption module comprises: acquiring oxygen content of the target water area at different time points within a fixed time and preset oxygen content, respectively marked as and , the number representing the temperature value of different water layers, , and is a positive integer; calculating the oxygen consumption coefficient, and the expression for calculation is: ; The oxygen manufacturing module comprises: obtaining the delivered oxygen content of the target water area at different time points within a fixed time, and marking as , the number representing the delivered oxygen content at different time points, , calculating the average value of as the oxygen content manufacturing coefficient, and the expression for calculation is: ; The calculation module comprises: weighting and summing the oxygen consumption coefficient and the oxygen content manufacturing coefficient to obtain an oxygen content coefficient, and an expression of the calculation is: ; wherein, is the oxygen content coefficient, , are preset proportion coefficients of the oxygen consumption coefficient and the oxygen content manufacturing coefficient respectively, and , are greater than 0.

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