CN114747529A - Variable frequency control method and system for aerator - Google Patents
Variable frequency control method and system for aerator Download PDFInfo
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- 238000000034 method Methods 0.000 title claims abstract description 66
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- 238000006243 chemical reaction Methods 0.000 claims abstract description 82
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- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical group [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 claims description 84
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Abstract
The invention provides a variable frequency control method and a system of an aerator, wherein the method comprises the following steps: acquiring data of an oxygenation environment of a first aerator according to a data acquisition fitting device to obtain first oxygenation environment data, wherein the first oxygenation environment data comprises external environment data and internal environment data; building an environment analysis model, wherein the environment analysis model comprises an external environment analysis model and an internal environment analysis model; respectively inputting the external environment data and the internal environment data into an external environment analysis model and an internal environment analysis model, and respectively outputting an external environment trigger index set and an internal environment trigger index set; generating a frequency conversion trigger condition according to the external environment trigger index set and the internal environment trigger index set; monitoring real-time monitoring indexes of a first aerator to obtain a first real-time monitoring index set; obtaining a first orientation vector according to the first real-time monitoring index set; and performing magnetic field positioning frequency conversion control on the first aerator according to the first orientation vector.
Description
Technical Field
The invention relates to the field of artificial intelligence, in particular to a variable frequency control method and system for an aerator.
Background
The oxygen-increasing machine is widely applied to fishery production, ensures that fish can not lack oxygen by increasing the oxygen content in water, can inhibit the growth of anaerobic bacteria in water at the same time, and prevents water quality from deteriorating. The Field Oriented Control (FOC) is the best choice for the efficient Control of the current brushless dc motor and permanent magnet synchronous motor. The field oriented control is also called vector control, and is a variable frequency drive control method for controlling a three-phase alternating current motor by controlling the amplitude and frequency of the output voltage of a frequency converter. The FOC can accurately control the magnitude and the direction of a magnetic field, so that the motor has the advantages of smooth torque, low noise, high efficiency and high-speed dynamic response. The FOC may be classified into a sensor FOC and a sensorless FOC, and the sensor FOC can reflect position information of the motor rotor, and is simple to control relative to the sensorless FOC, but has a high requirement on control performance.
The technical problems that in the prior art, the requirement of a magnetic field orientation control method on the accuracy degree of a control vector is high, and the combination analysis of the external environment and the internal environment of a water body is insufficient in the variable frequency control process of an aerator, so that the control accuracy degree is low, the requirement of the magnetic field orientation control method on the accuracy can not be met, and the control effect is poor exist.
Disclosure of Invention
The application provides an oxygen-increasing machine frequency conversion control method and system, has solved prior art existence because use magnetic field directional control method to the requirement of control vector degree of accuracy higher to oxygen-increasing machine frequency conversion control in-process combines the analysis inadequately to the external environment of water and internal environment, leads to controlling accurate degree lower, can't satisfy the requirement of magnetic field directional control method to the precision, the not good technical problem of control effect. After the pertinence analysis of the internal environment and the external environment of the breeding environment is achieved, the pertinence index meeting the breeding environment is obtained, and magnetic field variable frequency control is carried out according to the test condition of the index, so that the accuracy and the control effect of the variable frequency control are improved.
In view of the above problems, the present application provides a variable frequency control method and system for an aerator.
In a first aspect, the application provides a variable frequency control method for an aerator, wherein the method comprises the following steps: acquiring the oxygenation environment of the first aerator according to the data acquisition fitting device to obtain first oxygenation environment data, wherein the first oxygenation environment data comprise external environment data and internal environment data; building an environment analysis model, wherein the environment analysis model comprises an external environment analysis model and an internal environment analysis model, and data interaction is performed between the external environment analysis model and the internal environment analysis model; respectively inputting the external environment data and the internal environment data into the external environment analysis model and the internal environment analysis model, outputting an external environment trigger index set according to the external environment analysis model, and outputting an internal environment trigger index set according to the internal environment analysis model; generating a variable frequency trigger condition according to the external environment trigger index set and the internal environment trigger index set; monitoring by taking the variable-frequency triggering condition as a real-time monitoring index of the first aerator to obtain a first real-time monitoring index set; obtaining a first orientation vector according to the first real-time monitoring index set; and carrying out magnetic field positioning frequency conversion control on the first aerator according to the first orientation vector.
On the other hand, this application provides an oxygen-increasing machine frequency conversion control system, wherein, the system includes: the first obtaining unit is used for carrying out data acquisition on the oxygenation environment of the first aerator according to the data acquisition fitting device to obtain first oxygenation environment data, wherein the first oxygenation environment data comprise external environment data and internal environment data; the first building unit is used for building an environment analysis model, wherein the environment analysis model comprises an external environment analysis model and an internal environment analysis model, and data interaction is performed between the external environment analysis model and the internal environment analysis model; a second obtaining unit, configured to input the external environment data and the internal environment data into the external environment analysis model and the internal environment analysis model, respectively, output an external environment trigger index set according to the external environment analysis model, and output an internal environment trigger index set according to the internal environment analysis model; the first generation unit is used for generating a frequency conversion trigger condition according to the external environment trigger index set and the internal environment trigger index set; a third obtaining unit, configured to monitor the variable frequency trigger condition as a real-time monitoring index of the first aerator to obtain a first real-time monitoring index set; a fourth obtaining unit, configured to obtain a first orientation vector according to the first real-time monitoring index set; and the first execution unit is used for carrying out magnetic field positioning frequency conversion control on the first aerator according to the first orientation vector.
In a third aspect, the application provides an aerator frequency conversion control system, which includes a memory, a processor and a computer program stored in the memory and capable of running on the processor, wherein the processor implements the steps of the method of any one of the first aspect when executing the program.
One or more technical solutions provided in the present application have at least the following technical effects or advantages:
the method comprises the steps that data acquisition is carried out on the oxygenation environment of the first aerator according to a data acquisition fitting device, so that first oxygenation environment data are obtained, wherein the first oxygenation environment data comprise external environment data and internal environment data; building an environment analysis model, wherein the environment analysis model comprises an external environment analysis model and an internal environment analysis model; respectively inputting the external environment data and the internal environment data into an external environment analysis model and an internal environment analysis model, and respectively outputting an external environment trigger index set and an internal environment trigger index set; generating a frequency conversion trigger condition according to the external environment trigger index set and the internal environment trigger index set; monitoring real-time monitoring indexes of a first aerator to obtain a first real-time monitoring index set; obtaining a first orientation vector according to the first real-time monitoring index set; according to the technical scheme that the magnetic field positioning frequency conversion control is carried out on the first aerator according to the first directional vector, the frequency conversion control method and the frequency conversion control system for the aerator are provided, after the pertinence analysis of the internal environment and the external environment of the culture environment is carried out, the pertinence index meeting the culture environment is obtained, the magnetic field frequency conversion control is carried out according to the test condition of the index, and therefore the accuracy and the control effect of the frequency conversion control are improved.
The above description is only an overview of the technical solutions of the present application, and the present application may be implemented in accordance with the content of the description so as to make the technical means of the present application more clearly understood, and the detailed description of the present application will be given below in order to make the above and other objects, features, and advantages of the present application more clearly understood.
Drawings
FIG. 1 is a schematic flow chart of a variable frequency control method of an aerator according to an embodiment of the present disclosure;
fig. 2 is a schematic flow chart of an output external environment trigger index set of the aerator frequency conversion control method according to the embodiment of the present application;
fig. 3 is a schematic flow chart illustrating the first reminding information acquisition in the variable frequency control method of the aerator according to the embodiment of the present application;
FIG. 4 is a schematic structural diagram of a variable frequency control system of an aerator according to an embodiment of the present application;
fig. 5 is a schematic structural diagram of an exemplary electronic device according to an embodiment of the present application.
Description of reference numerals: the system comprises a first obtaining unit 11, a first building unit 12, a second obtaining unit 13, a first generating unit 14, a third obtaining unit 15, a fourth obtaining unit 16, a first executing unit 17, an electronic device 300, a memory 301, a processor 302, a communication interface 303 and a bus architecture 304.
Detailed Description
The application provides an aerator frequency conversion control method and system, and solves the technical problems that in the prior art, because the requirement of a magnetic field orientation control method on the accuracy degree of a control vector is high, and the combination analysis of the external environment and the internal environment of a water body is insufficient in the aerator frequency conversion control process, the control accuracy degree is low, the requirement of the magnetic field orientation control method on the accuracy cannot be met, and the control effect is poor. After the pertinence analysis of the internal environment and the external environment of the breeding environment is achieved, the pertinence index meeting the breeding environment is obtained, and magnetic field variable frequency control is carried out according to the test condition of the index, so that the accuracy and the control effect of the variable frequency control are improved.
According to the technical scheme, the data acquisition, storage, use, processing and the like meet the relevant regulations of national laws and regulations.
The oxygen-increasing machine is widely applied to fishery production, ensures that fish can not lack oxygen by increasing the oxygen content in water, can inhibit the growth of anaerobic bacteria in water at the same time, and prevents water quality from deteriorating. The square wave control mode of the motor has the defects of large torque fluctuation, certain current noise and efficiency which cannot reach the maximum value. The Field Oriented Control (FOC) is the best choice for the efficient Control of the current brushless dc motor and permanent magnet synchronous motor. The FOC can be divided into a sensor FOC and a sensorless FOC, the sensor FOC can reflect position information of a motor rotor, and the control is relatively simple compared with the sensorless FOC, but the requirement on control performance is higher. The technical problems that the requirement on the accuracy degree of the control vector is high due to the use of a magnetic field orientation control method, and the combined analysis of the external environment and the internal environment of the water body is insufficient in the variable frequency control process of the aerator, so that the control accuracy degree is low, the requirement on the accuracy of the magnetic field orientation control method cannot be met, and the control effect is poor exist.
In view of the above technical problems, the technical solution provided by the present application has the following general idea:
the application provides an oxygen-increasing machine frequency conversion control method, wherein, the method includes: acquiring data of an oxygenation environment of a first aerator according to a data acquisition fitting device to obtain first oxygenation environment data, wherein the first oxygenation environment data comprises external environment data and internal environment data; building an environment analysis model, wherein the environment analysis model comprises an external environment analysis model and an internal environment analysis model; respectively inputting the external environment data and the internal environment data into an external environment analysis model and an internal environment analysis model, and respectively outputting an external environment trigger index set and an internal environment trigger index set; generating a frequency conversion trigger condition according to the external environment trigger index set and the internal environment trigger index set; monitoring real-time monitoring indexes of the first aerator to obtain a first real-time monitoring index set; obtaining a first orientation vector according to the first real-time monitoring index set; and carrying out magnetic field positioning frequency conversion control on the first aerator according to the first orientation vector. After the pertinence analysis of the internal environment and the external environment of the breeding environment is achieved, the pertinence index meeting the breeding environment is obtained, and magnetic field variable frequency control is carried out according to the test condition of the index, so that the accuracy and the control effect of variable frequency control are improved.
Having described the principles of the present application, various non-limiting embodiments thereof will now be described in detail with reference to the accompanying drawings.
Example one
As shown in fig. 1, the embodiment of the application provides an aerator frequency conversion control method, wherein the method is applied to an aerator frequency conversion control system, the system is in communication connection with a data acquisition fitting device, and the method comprises the following steps:
step S100: acquiring the oxygenation environment of the first aerator according to the data acquisition fitting device to obtain first oxygenation environment data, wherein the first oxygenation environment data comprise external environment data and internal environment data;
particularly, the reasonable control of the oxygen increasing machine can bring great benefits to fishery culture, such as reasonably adjusting the oxygen content in water to ensure the growth and development of fishes and shrimps, inhibiting the growth of anaerobic bacteria in water, preventing water quality deterioration and the like. Because the frequency conversion control of the aerator needs to take into account the culture characteristics for control, the accurate frequency conversion control of the aerator is one of the key measures for influencing the working effect of the aerator. The utility model provides an oxygen-increasing machine frequency conversion control method, an oxygen-increasing machine frequency conversion control method is applied to an oxygen-increasing machine frequency conversion control system, and this system has integrateed technologies such as intelligent sensor, wireless communication, embedded system, intelligent processing, automatic control, and this system and a data acquisition fitting device communication connection, the data acquisition fitting device is arbitrary data acquisition processing apparatus, exemplary: the data acquisition fitting device comprises a plurality of intelligent sensors, and the intelligent sensors are provided with microprocessors and have the capabilities of acquiring, processing and exchanging information.
According to data acquisition fitting device carries out data acquisition to the service environment of first oxygen-increasing machine, first oxygen-increasing machine is for using in breeding through magnetic field location frequency conversion control's arbitrary oxygen-increasing machine. Environmental data to in the first oxygen-increasing machine use gathers, when first oxygen-increasing machine floats in the surface of water, detects and gathers external environmental data, for example: ambient temperature, oxygen concentration, etc. When the first aerator sinks below the water surface, internal environment data are collected, for example: water quality, temperature, oxygen concentration, etc. under water. The obtained first oxygen increasing environment data comprise external environment data and internal environment data, and data support can be provided for the cooperative analysis of the internal and external data and the accurate control of the first oxygen increasing machine.
Step S200: building an environment analysis model, wherein the environment analysis model comprises an external environment analysis model and an internal environment analysis model, and data interaction is performed between the external environment analysis model and the internal environment analysis model;
step S300: respectively inputting the external environment data and the internal environment data into the external environment analysis model and the internal environment analysis model, outputting an external environment trigger index set according to the external environment analysis model, and outputting an internal environment trigger index set according to the internal environment analysis model;
Specifically, in order to analyze the acquired first oxygenation environment data, an environment analysis model is built, the environment analysis model comprises an outer environment analysis model and an inner environment analysis model, and data used by the two models can be mutually called, namely data interaction between the models is realized because a certain relation exists between the data on water and the data under water. For example: the temperature data of the external environment has certain influence on the dissolved oxygen of a euphotic layer of the water surface.
The external environment analysis model and the internal environment analysis model are both neural network models and comprise an input layer, a hidden layer and an output layer, wherein the hidden layer is not directly connected with the outside, but the change of the state of the hidden layer can influence the relation between input and output. And respectively obtaining data corresponding to various environmental indexes of an external environment and an internal environment through big data, training the external environment analysis model and the internal environment analysis model by using a preset standard index trigger value as identification data, obtaining the external environment analysis model and the internal environment analysis model after the training is converged, and forming the environmental analysis models by the external environment analysis model and the internal environment analysis model. And respectively inputting the external environment data and the internal environment data into the external environment analysis model and the internal environment analysis model, and outputting an external environment trigger index set and an internal environment trigger index set after internal operation processing of the external environment analysis model and the internal environment analysis model, wherein the external environment trigger index set and the internal environment trigger index set are index sets for triggering variable frequency control. The environmental analysis model is used for analyzing and judging various environmental indexes outside and inside the water body at different times, and the technical effect of flexibly and accurately screening main indexes is achieved.
Step S400: generating a variable frequency trigger condition according to the external environment trigger index set and the internal environment trigger index set;
step S500: monitoring by taking the variable-frequency triggering condition as a real-time monitoring index of the first aerator to obtain a first real-time monitoring index set;
specifically, the obtained external environment trigger index set and the obtained internal environment trigger index set are fused and then serve as the frequency conversion trigger condition, the frequency conversion trigger condition is environment trigger data for triggering frequency conversion control, when the frequency conversion trigger condition is met, the frequency conversion trigger condition serves as a real-time monitoring index of the first aerator and is used for detecting various index data of the first aerator to obtain the first real-time monitoring index set, and the first real-time monitoring index set is an index data set obtained through real-time monitoring according to the frequency conversion trigger condition.
Step S600: obtaining a first orientation vector according to the first real-time monitoring index set;
step S700: and carrying out magnetic field positioning frequency conversion control on the first aerator according to the first orientation vector.
Specifically, the difference between the dissolved oxygen in the culture environment and the dissolved oxygen satisfying the requirement for the organism such as fish and shrimp to be cultured can be confirmed based on the first real-time monitoring index set. And controlling the aerator according to the obtained difference value. The magnetic field positioning frequency conversion control system is a subsystem of the aerator frequency conversion control system, after receiving an instruction needing frequency conversion control, the magnetic field positioning frequency conversion control system obtains a first orientation vector through a magnetic field positioning frequency conversion technology, and controls the amplitude and the frequency of the output voltage of the frequency converter through the first orientation vector to carry out frequency conversion control on the first aerator. After the pertinence analysis of the internal environment and the external environment of the breeding environment is achieved, the pertinence index meeting the breeding environment is obtained, and magnetic field variable frequency control is carried out according to the test condition of the index, so that the accuracy and the control effect of variable frequency control are improved.
Further, as shown in fig. 2, in the building of the environment analysis model, step S200 in the embodiment of the present application further includes:
step S210: setting up the external environment analysis model, wherein the external environment analysis model comprises three-dimensional external environment indexes, the three-dimensional external environment indexes comprise a first external environment index, a second external environment index and a third external environment index, the first external environment index is an oxygen generation contact index, the second external environment index is an environment temperature sensing index, and the third external environment index is an external oxygen concentration index;
step S220: respectively configuring preset external environment trigger values for the oxygen generation contact index, the environment temperature sensing index and the external oxygen concentration index;
step S230: and realizing the trigger logic judgment of the external environment analysis model according to the preset external environment trigger value, and outputting the external environment trigger index set.
Specifically, the specific analysis logic of the external environment analysis model is as follows, and the external environment trigger value is preset by setting the three-dimensional external environment index and corresponding configuration. And performing logic judgment on the basis of the three-dimensional external environment index and a preset external environment trigger value correspondingly configured, and outputting the external environment trigger index set when input data meets the preset external environment trigger value.
The three-dimensional external environment index comprises a first external environment index, a second external environment index and a third external environment index, the first external environment index is an oxygen generation contact index, namely the contact area in an oxygen generation process, and an oxygen generator disperses water into fine fog drops in the oxygen generation process and sprays the water drops into a gas phase, so that a water-gas contact surface is formed. The second external environment index is an environment temperature sensing index, namely an external environment temperature index, the higher the external environment temperature is, the higher the water temperature is, and the higher the water temperature is, the lower the saturated dissolved oxygen is. The third external environment index is an external oxygen concentration index, that is, an oxygen concentration index in the external air. The preset external environment trigger value is an environment trigger value for triggering the operation of the aerator, which is set according to an expert team consisting of aquaculture experts.
The external environment analysis model obtained through the analysis logic of the external environment analysis model can screen various collected external environment indexes, and the external environment indexes meeting the preset external environment trigger value are used as the external environment trigger index set, so that the environmental adaptability of the oxygen aerator control is improved.
Further, step S200 in the embodiment of the present application further includes:
step S240: setting up the internal environment analysis model, wherein the internal environment analysis model comprises three-dimensional internal environment indexes, the three-dimensional internal environment indexes comprise a first internal environment index, a second internal environment index and a third internal environment index, the first internal environment index is a water body dissolved oxygen index, the second internal environment index is a water body movement index, and the third internal environment index is a dissolved oxygen saturation index;
Step S250: respectively configuring preset internal environment trigger values for the water body dissolved oxygen index, the water body movement index and the dissolved oxygen saturation index;
step S260: and realizing the trigger logic judgment of the internal environment analysis model according to the preset internal environment trigger value, and outputting the internal environment trigger index set.
Specifically, the specific analysis logic of the internal environment analysis model is as follows: and setting a three-dimensional internal environment index and a preset internal environment trigger value thereof in the internal environment analysis model, and forming the met indexes into the internal environment trigger index set after the three-dimensional internal environment index data meets the preset internal environment trigger value.
The three-dimensional internal environment index includes a first internal environment index, a second internal environment index and a third internal environment index. The first internal environment index is a water body dissolved oxygen index, including but not limited to dissolved oxygen in the aquaculture water body and water quality of the water body. The second internal environment index is a water body movement index, and includes but is not limited to indexes such as wind speed, wind direction, and water flow velocity when the surface of the water body moves due to wind power. The third internal environment index is dissolved oxygen saturation index which is dissolved oxygen saturation, and the dissolved oxygen saturation is an important measurement index of water quality. The internal environment trigger value is an environment trigger value for triggering the working of the aerator in the water body set by the culture expert. And screening internal environment trigger indexes and constructing an internal environment trigger index set according to logic judgment and whether the data book acquired in real time meets the preset internal environment trigger value. The actual data in the internal environment can be judged and screened according to the actual internal environment indexes by constructing the internal environment analysis model, so that the accuracy of internal environment monitoring is improved.
Further, the obtaining a first directional vector according to the first real-time monitoring index set further includes:
step S610: acquiring first monitoring curves of the first real-time monitoring index set under the variable-frequency triggering condition respectively;
step S620: outputting a first cycle characteristic by performing time sequence cycle characteristic analysis on the first monitoring curve;
step S630: acquiring a variable frequency control node set according to the first period characteristic;
step S640: and carrying out time node control on the frequency conversion control of the first aerator according to the frequency conversion control node set.
Further, step S640 in the embodiment of the present application includes:
step S641: obtaining a first water body culture object of the first aerator;
step S642: obtaining cultivation type information and cultivation density information according to the first water body cultivation object;
step S643: outputting a first directional frequency conversion layer according to the breeding species information and the breeding density information;
step S644: and adjusting a time sequence control layer of the first aerator according to the first directional frequency conversion layer and the frequency conversion control node set.
Specifically, the variable frequency triggering condition is environment triggering data for triggering variable frequency control, which is obtained by fusing the external environment triggering index set and the internal environment triggering index set, for example, a lowest value of triggering variable frequency control, and data acquisition is performed within a period of time according to the first real-time monitoring index set, for example: data is collected over a day. And drawing the acquired data into the first monitoring curve by taking the acquisition time as an abscissa and the monitoring value as an ordinate.
And analyzing whether the monitoring value has periodic variation characteristics at different times according to the first monitoring curve, wherein the periodic variation can be understood as whether the same data variation rule exists in certain time intervals. And if the periodic variation characteristics exist, taking the obtained periodic characteristics as the first periodic characteristics. Distributing the frequency conversion control nodes according to the first periodic characteristics, for example: and (4) firstly increasing the temperature of the air and then decreasing the temperature of the air, and setting a time node according to the temperature change rate characteristic and the expert experience. Further, after the frequency conversion control nodes of each index are subjected to coexistence and existence, the frequency conversion control node set is obtained, the frequency conversion control time nodes of the first aerator are set according to the obtained first frequency conversion control node set, and the first aerator is controlled at the corresponding time nodes.
Because the life habits of different aquaculture objects are different, and the spatial distribution in the water body is different, a first aquaculture object in the water body is obtained according to the using environment of the first aerator, and is any aquaculture object, such as: different varieties of fishes and shrimps, etc. According to the first water body breeding object, breeding type information and breeding quantity information are obtained from breeding personnel, and breeding density is analyzed according to the breeding quantity information and the volume of a breeding environment to obtain breeding density information. Due to the spatial distribution difference of different cultured objects and the spatial dissolved oxygen distribution difference of water bodies, the spatial distribution layer of the cultured objects needs to be oriented to judge whether the activity range is upper-layer water, middle-layer water or lower-layer water. And judging the water layer where the culture object is located according to the culture species information and the culture density information to obtain the first directional frequency conversion layer. And obtaining space oxygen increasing control layers in different time periods according to the first directional frequency conversion layer and the frequency conversion control node set, so as to adjust a time sequence control layer of the first oxygen increasing machine.
The variable frequency control node set is obtained according to the time sequence characteristic analysis, the actual spatial distribution of the breeding main body is subjected to positioning analysis according to the variety and the breeding density of the breeding main body, and the time sequence control layer adjustment is carried out on the first aerator based on the spatial distribution and the variable frequency control node set, so that the technical effect of accurate control is achieved.
Further, as shown in fig. 3, step S700 in the embodiment of the present application further includes:
step S710: collecting oxygen-producing plants on a water-gas contact layer in a first culture environment to obtain first sample data;
step S720: performing growth prediction according to the first sample data to obtain a first prediction result, wherein the first prediction result is an oxygen-making plant growth increment prediction result;
step S730: carrying out dissolved oxygen saturation analysis according to the first prediction result and the contact area in the first real-time monitoring data to obtain a second prediction result;
step S740: and obtaining first reminding information according to the second prediction result.
Further, the step S730 of performing dissolved oxygen saturation analysis according to the first prediction result and the contact area in the first real-time monitoring data to obtain a second prediction result further includes:
Step S731: generating a first increment curve according to the first sample data, wherein the first increment curve is used for identifying increment-time change relation of the oxygen-making plant;
step S732: analyzing the oxygen production amount of the oxygen-producing plant according to the first increment curve, and outputting a dissolved oxygen saturation limit value;
step S733: generating a first objective function by taking the dissolved oxygen saturation limit value as a response target;
step S734: and outputting the second prediction result according to the first objective function, wherein the second prediction result is a prediction result of the growth cycle of the saturation limit of the oxygen-making plant.
Specifically, the first culture environment can be any culture environment, such as a pond, a water tank and the like, and the water-air contact layer of the first culture environment is a water layer with a certain thickness, wherein the surface of a water body is in contact with air. Various algae plants are usually grown on the surface of the water body, and the algae plants generate a part of oxygen on the water surface through photosynthesis and are dissolved in the water, so that the dissolved oxygen in the water is improved. The number of oxygen-producing plants on the surface of the first farming environment can be analyzed by image acquisition means, such as: and estimating the quantity according to the ratio of the plant area to the surface area of the culture environment. The method comprises the steps of obtaining first sample data through quantitative analysis, conducting growth prediction on all oxygen-making plants on the surface of a first breeding environment based on the actual growth rate of the oxygen-making plants and the detection result of water quality, obtaining the growth condition prediction result of the oxygen-making plants, namely the first prediction result, reflecting the growth rate of the oxygen-making plants in fixed time, namely the growth increment prediction result.
And drawing the first increment curve according to the growth increment prediction result, wherein the first increment curve can reflect and identify the relation of growth and propagation of the oxygen-producing plant over time, namely the increment-time relation. And analyzing the oxygen production increase condition of the oxygen-making plant according to the first increment curve to obtain a dissolved oxygen saturation limit value when the process that oxygen generated by photosynthesis of the oxygen-making plant is dissolved into water reaches saturation, and taking the dissolved oxygen saturation limit value as a response target to obtain a first target function taking the dissolved oxygen saturation limit as a corresponding target. And predicting the growth period of the oxygen-making plant reaching the dissolved oxygen saturation limit value through the first objective function and the increment-time relation to obtain a second prediction result. And generating first reminding information based on the second prediction result, wherein the first reminding information is used for reminding the breeding user to clearly work the oxygen-making plant after the oxygen-making plant reaches saturation. The oxygen-making plant growth rate and the growth cycle are predicted, so that the oxygen-making plants on the water surface can be cleaned in time, and the cultivation management and the production efficiency are improved.
To sum up, the aerator frequency conversion control method and system provided by the embodiment of the application have the following technical effects:
1. The method comprises the steps that data acquisition is carried out on the oxygenation environment of the first aerator according to a data acquisition fitting device to obtain first oxygenation environment data, wherein the first oxygenation environment data comprise external environment data and internal environment data; building an environment analysis model, wherein the environment analysis model comprises an external environment analysis model and an internal environment analysis model; respectively inputting the external environment data and the internal environment data into an external environment analysis model and an internal environment analysis model, and respectively outputting an external environment trigger index set and an internal environment trigger index set; generating a frequency conversion trigger condition according to the external environment trigger index set and the internal environment trigger index set; monitoring real-time monitoring indexes of the first aerator to obtain a first real-time monitoring index set; obtaining a first orientation vector according to the first real-time monitoring index set; according to the technical scheme of carrying out magnetic field positioning frequency conversion control on the first aerator according to the first orientation vector, the embodiment of the application provides the aerator frequency conversion control method and the aerator frequency conversion control system, after the pertinence analysis on the inner environment and the outer environment of the culture environment is carried out, the pertinence index meeting the culture environment is obtained, and the magnetic field frequency conversion control is carried out according to the test condition of the index, so that the accuracy and the control effect of the frequency conversion control are improved.
2. The variable frequency control node set is obtained through time sequence characteristic analysis, and the actual spatial distribution of the culture main body is positioned and analyzed according to the type and the culture density of the culture main body, so that the technical effect of adjusting a time sequence control layer of the first aerator based on the spatial distribution and the variable frequency control node set is achieved, and the control accuracy is improved.
3. By predicting the growth rate and the growth cycle of the oxygen-making plants, the technical effects of timely cleaning the oxygen-making plants on the water surface and improving the cultivation management and the production efficiency are achieved.
Example two
Based on the same inventive concept as the variable frequency control method of the aerator in the previous embodiment, as shown in fig. 4, the embodiment of the application provides a variable frequency control system of the aerator, wherein the system comprises:
the first obtaining unit 11 is configured to perform data acquisition on an oxygenation environment of a first aerator according to a data acquisition fitting device to obtain first oxygenation environment data, where the first oxygenation environment data includes external environment data and internal environment data;
a first building unit 12, wherein the first building unit 12 is used for building an environment analysis model, the environment analysis model comprises an external environment analysis model and an internal environment analysis model, and data interaction is performed between the external environment analysis model and the internal environment analysis model;
A second obtaining unit 13, where the second obtaining unit 13 is configured to input the external environment data and the internal environment data into the external environment analysis model and the internal environment analysis model, respectively, output an external environment trigger index set according to the external environment analysis model, and output an internal environment trigger index set according to the internal environment analysis model;
a first generating unit 14, where the first generating unit 14 is configured to generate a variable frequency trigger condition according to the external environment trigger index set and the internal environment trigger index set;
a third obtaining unit 15, where the third obtaining unit 15 is configured to monitor by using the variable frequency trigger condition as a real-time monitoring index of the first aerator, so as to obtain a first real-time monitoring index set;
a fourth obtaining unit 16, where the fourth obtaining unit 16 is configured to obtain a first orientation vector according to the first real-time monitoring index set;
and the first execution unit 17 is used for carrying out magnetic field positioning frequency conversion control on the first aerator according to the first orientation vector.
Further, the system comprises:
the second building unit is used for building the external environment analysis model, wherein the external environment analysis model comprises three-dimensional external environment indexes, the three-dimensional external environment indexes comprise a first external environment index, a second external environment index and a third external environment index, the first external environment index is an oxygen generation contact index, the second external environment index is an environment temperature sensing index, and the third external environment index is an external oxygen concentration index;
The second execution unit is used for respectively configuring preset external environment trigger values for the oxygen generation contact index, the environment temperature sensing index and the external oxygen concentration index;
and the third execution unit is used for realizing the trigger logic judgment of the external environment analysis model according to the preset external environment trigger value and outputting the external environment trigger index set.
Further, the system comprises:
the third building unit is used for building the internal environment analysis model, wherein the internal environment analysis model comprises three-dimensional internal environment indexes, the three-dimensional internal environment indexes comprise a first internal environment index, a second internal environment index and a third internal environment index, the first internal environment index is a water body dissolved oxygen index, the second internal environment index is a water body movement index, and the third internal environment index is a dissolved oxygen saturation index;
a fourth execution unit, configured to configure preset internal environment trigger values for the water body dissolved oxygen indicator, the water body motion indicator, and the dissolved oxygen saturation indicator, respectively;
and the fifth execution unit is used for realizing the triggering logic judgment of the internal environment analysis model according to the preset internal environment triggering value and outputting the internal environment triggering index set.
Further, the system comprises:
a fifth obtaining unit, configured to obtain first monitoring curves of the first real-time monitoring index set under the variable-frequency triggering condition, respectively;
a sixth execution unit, configured to output a first cycle characteristic by performing a time-series cycle characteristic analysis on the first monitoring curve;
a sixth obtaining unit, configured to obtain a frequency conversion control node set according to the first cycle characteristic;
and the first control unit is used for obtaining time node control of the frequency conversion control of the first aerator according to the frequency conversion control node set.
Further, the system comprises:
a seventh obtaining unit, configured to obtain a first water body culture object of the first aerator;
an eighth obtaining unit, configured to obtain breeding species information and breeding density information according to the first water body breeding object;
a seventh execution unit, configured to output a first directional frequency conversion layer according to the breeding type information and the breeding density information;
And the eighth execution unit is used for adjusting the time sequence control layer of the first aerator according to the first directional frequency conversion layer and the frequency conversion control node set.
Further, the system comprises:
a ninth obtaining unit, configured to collect oxygen-producing plants of the water-gas contact layer in the first breeding environment, and obtain first sample data;
a tenth obtaining unit, configured to perform growth prediction according to the first sample data to obtain a first prediction result, where the first prediction result is an oxygen-made plant growth increment prediction result;
an eleventh obtaining unit, configured to perform dissolved oxygen saturation analysis according to the first prediction result and the contact area in the first real-time monitoring data, so as to obtain a second prediction result;
a twelfth obtaining unit, configured to obtain the first reminding information according to the second prediction result.
Further, the system comprises:
a second generating unit for generating a first increment curve according to the first sample data, wherein the first increment curve is used for identifying increment-time change relation of the oxygen-making plant;
The ninth execution unit is used for analyzing the oxygen production amount of the oxygen production plant according to the first increment curve and outputting a dissolved oxygen saturation limit value;
a third generating unit, configured to generate a first objective function with the dissolved oxygen saturation limit as a response objective;
a tenth execution unit, configured to output the second prediction result according to the first objective function, where the second prediction result is a prediction result of a growth cycle of an oxygen-producing plant saturation limit.
Exemplary electronic device
The electronic device of the embodiment of the present application is described below with reference to fig. 5. Based on the same inventive concept as the variable frequency control method of the aerator in the previous embodiment, the embodiment of the application also provides a variable frequency control system of the aerator, which comprises: a processor coupled to a memory, the memory for storing a program that, when executed by the processor, causes a system to perform the method of any of the first aspects.
The electronic device 300 includes: processor 302, communication interface 303, memory 301. Optionally, the electronic device 300 may also include a bus architecture 304. Wherein, the communication interface 303, the processor 302 and the memory 301 may be connected to each other through a bus architecture 304; the bus architecture 304 may be a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The bus architecture 304 may be divided into an address bus, a data bus, a control bus, and the like. For ease of illustration, only one thick line is shown in FIG. 5, but this is not intended to represent only one bus or type of bus.
The memory 301 may be, but is not limited to, ROM or other types of static storage devices that can store static information and instructions, RAM or other types of dynamic storage devices that can store information and instructions, EEPROM, CD-ROM or other optical disk storage, optical disk storage (including compact disk, laser disk, optical disk, digital versatile disk, blu-ray disk, etc.), magnetic disk storage or other magnetic storage devices, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer. The memory may be self-contained and coupled to the processor through a bus architecture 304. The memory may also be integrated with the processor.
The memory 301 is used for storing computer-executable instructions for implementing the present application, and is controlled by the processor 302 to execute. The processor 302 is configured to execute the computer execution instruction stored in the memory 301, so as to implement the aerator frequency conversion control method provided in the above embodiment of the present application.
Optionally, the computer-executable instructions in this embodiment may also be referred to as application program codes, which is not specifically limited in this embodiment.
The embodiment of the application provides an aerator frequency conversion control method, wherein, the method includes: acquiring data of an oxygenation environment of a first aerator according to a data acquisition fitting device to obtain first oxygenation environment data, wherein the first oxygenation environment data comprises external environment data and internal environment data; building an environment analysis model, wherein the environment analysis model comprises an external environment analysis model and an internal environment analysis model; respectively inputting the external environment data and the internal environment data into an external environment analysis model and an internal environment analysis model, and respectively outputting an external environment trigger index set and an internal environment trigger index set; generating a variable frequency triggering condition according to the external environment triggering index set and the internal environment triggering index set; monitoring real-time monitoring indexes of a first aerator to obtain a first real-time monitoring index set; obtaining a first orientation vector according to the first real-time monitoring index set; and performing magnetic field positioning frequency conversion control on the first aerator according to the first orientation vector.
Those of ordinary skill in the art will understand that: the various numbers of the first, second, etc. mentioned in this application are only used for the convenience of description and are not used to limit the scope of the embodiments of this application, nor to indicate the order of precedence. "and/or" describes the association relationship of the associated object, indicating that there may be three relationships, for example, a and/or B, which may indicate: a exists alone, A and B exist simultaneously, and B exists alone. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship. "at least one" means one or more. At least two means two or more. "at least one," "any," or similar expressions refer to any combination of these items, including any combination of singular or plural items. For example, at least one (one ) of a, b, or c, may represent: a, b, c, a-b, a-c, b-c, or a-b-c, wherein a, b, c may be single or multiple.
In the above embodiments, the implementation may be wholly or partially realized by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When loaded and executed on a computer, cause the processes or functions described in accordance with the embodiments of the application to occur, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable system. The computer instructions may be stored in a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, from one website site, computer, server, or data center to another website site, computer, server, or data center via wired (e.g., coaxial cable, fiber optic, Digital Subscriber Line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device including one or more available media integrated servers, data centers, and the like. The usable medium may be a magnetic medium (e.g., floppy Disk, hard Disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., Solid State Disk (SSD)), among others.
The various illustrative logical units and circuits described in this application may be implemented or operated upon by general purpose processors, digital signal processors, Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs) or other programmable logic systems, discrete gate or transistor logic, discrete hardware components, or any combination thereof. A general-purpose processor may be a microprocessor, but, in the alternative, the processor may be any conventional processor, controller, microcontroller, or state machine. A processor may also be implemented as a combination of computing systems, e.g., a digital signal processor and a microprocessor, a plurality of microprocessors, one or more microprocessors in conjunction with a digital signal processor core, or any other similar configuration.
The steps of a method or algorithm described in the embodiments herein may be embodied directly in hardware, in a software element executed by a processor, or in a combination of the two. The software cells may be stored in RAM memory, flash memory, ROM memory, EPROM memory, EEPROM memory, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art. For example, a storage medium may be coupled to the processor such the processor can read information from, and write information to, the storage medium. In the alternative, the storage medium may be integral to the processor. The processor and the storage medium may reside in an ASIC, which may be disposed in a terminal. In the alternative, the processor and the storage medium may reside in different components within the terminal. These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Although the present application has been described in conjunction with specific features and embodiments thereof, it will be evident that various modifications and combinations may be made thereto without departing from the spirit and scope of the application. Accordingly, the specification and drawings are merely illustrative of the present application as defined herein, and are to be regarded as covering any and all modifications, variations, combinations, or equivalents within the scope of the application. It will be apparent to those skilled in the art that various changes and modifications may be made in the present application without departing from the scope of the application. Thus, it is intended that the present application include such modifications and variations as come within the scope of the application and its equivalents.
Claims (9)
1. The variable frequency control method of the aerator is characterized by being applied to an aerator variable frequency control system which is in communication connection with a data acquisition fitting device, and comprising the following steps:
acquiring data of an oxygenation environment of a first aerator according to the data acquisition fitting device to obtain first oxygenation environment data, wherein the first oxygenation environment data comprises external environment data and internal environment data;
building an environment analysis model, wherein the environment analysis model comprises an external environment analysis model and an internal environment analysis model, and data interaction is performed between the external environment analysis model and the internal environment analysis model;
Respectively inputting the external environment data and the internal environment data into the external environment analysis model and the internal environment analysis model, outputting an external environment trigger index set according to the external environment analysis model, and outputting an internal environment trigger index set according to the internal environment analysis model;
generating a variable frequency trigger condition according to the external environment trigger index set and the internal environment trigger index set;
monitoring by taking the variable frequency triggering condition as a real-time monitoring index of the first aerator to obtain a first real-time monitoring index set;
obtaining a first orientation vector according to the first real-time monitoring index set;
and performing magnetic field positioning frequency conversion control on the first aerator according to the first orientation vector.
2. The method of claim 1, wherein the environmental analysis model is built, the method further comprising:
setting up the external environment analysis model, wherein the external environment analysis model comprises three-dimensional external environment indexes, the three-dimensional external environment indexes comprise a first external environment index, a second external environment index and a third external environment index, the first external environment index is an oxygen generation contact index, the second external environment index is an environment temperature sensing index, and the third external environment index is an external oxygen concentration index;
Respectively configuring preset external environment trigger values for the oxygen generation contact index, the environment temperature sensing index and the external oxygen concentration index;
and realizing the trigger logic judgment of the external environment analysis model according to the preset external environment trigger value, and outputting the external environment trigger index set.
3. The method of claim 1, wherein the method further comprises:
building the internal environment analysis model, wherein the internal environment analysis model comprises three-dimensional internal environment indexes, the three-dimensional internal environment indexes comprise a first internal environment index, a second internal environment index and a third internal environment index, the first internal environment index is a water body dissolved oxygen index, the second internal environment index is a water body movement index, and the third internal environment index is a dissolved oxygen saturation index;
respectively configuring preset internal environment trigger values for the water body dissolved oxygen index, the water body movement index and the dissolved oxygen saturation index;
and realizing the trigger logic judgment of the internal environment analysis model according to the preset internal environment trigger value, and outputting the internal environment trigger index set.
4. The method of claim 1, wherein the obtaining a first orientation vector is based on the first set of real-time monitoring metrics, the method further comprising:
Acquiring first monitoring curves of the first real-time monitoring index set under the variable-frequency triggering condition respectively;
outputting a first cycle characteristic by performing time sequence cycle characteristic analysis on the first monitoring curve;
according to the first periodic characteristics, a variable frequency control node set is obtained;
and carrying out time node control on the frequency conversion control of the first aerator according to the frequency conversion control node set.
5. The method of claim 4, wherein the method further comprises:
obtaining a first water body culture object of the first aerator;
obtaining breeding species information and breeding density information according to the first water body breeding objects;
outputting a first directional frequency conversion layer according to the breeding species information and the breeding density information;
and adjusting a time sequence control layer of the first aerator according to the first directional frequency conversion layer and the frequency conversion control node set.
6. The method of claim 1, wherein the method further comprises:
collecting oxygen-producing plants on a water-gas contact layer in a first culture environment to obtain first sample data;
performing growth prediction according to the first sample data to obtain a first prediction result, wherein the first prediction result is a prediction result of growth increment of the oxygen-making plant;
Carrying out dissolved oxygen saturation analysis according to the first prediction result and the contact area in the first real-time monitoring data to obtain a second prediction result;
and acquiring first reminding information according to the second prediction result.
7. The method of claim 6, wherein the dissolved oxygen saturation analysis is performed based on the first predicted outcome and the contact area in the first real-time monitoring data to obtain a second predicted outcome, the method further comprising:
generating a first increment curve according to the first sample data, wherein the first increment curve is used for identifying increment-time change relation of the oxygen-making plant;
analyzing the oxygen production amount of the oxygen-producing plant according to the first increment curve, and outputting a dissolved oxygen saturation limit value;
generating a first objective function by taking the dissolved oxygen saturation limit value as a response target;
and outputting the second prediction result according to the first objective function, wherein the second prediction result is a prediction result of the growth cycle of the saturation limit of the oxygen-making plant.
8. The utility model provides an oxygen-increasing machine frequency conversion control system which characterized in that, the system includes:
the first obtaining unit is used for carrying out data acquisition on the oxygenation environment of the first aerator according to the data acquisition fitting device to obtain first oxygenation environment data, wherein the first oxygenation environment data comprise external environment data and internal environment data;
The first building unit is used for building an environment analysis model, wherein the environment analysis model comprises an external environment analysis model and an internal environment analysis model, and data interaction is performed between the external environment analysis model and the internal environment analysis model;
a second obtaining unit, configured to input the external environment data and the internal environment data into the external environment analysis model and the internal environment analysis model, respectively, output an external environment trigger index set according to the external environment analysis model, and output an internal environment trigger index set according to the internal environment analysis model;
the first generation unit is used for generating a frequency conversion trigger condition according to the external environment trigger index set and the internal environment trigger index set;
a third obtaining unit, configured to monitor the variable frequency trigger condition as a real-time monitoring index of the first aerator to obtain a first real-time monitoring index set;
a fourth obtaining unit, configured to obtain a first orientation vector according to the first real-time monitoring index set;
and the first execution unit is used for carrying out magnetic field positioning frequency conversion control on the first aerator according to the first orientation vector.
9. An oxygen-increasing machine frequency conversion control system includes: a processor coupled to a memory, the memory for storing a program that, when executed by the processor, causes a system to perform the method of any of claims 1-7.
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Citations (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US4972801A (en) * | 1988-08-15 | 1990-11-27 | Hunt Robert D | Pumping system for producing oxygen enriched water useful in the growing of aquatic life |
| JPH07170881A (en) * | 1993-01-19 | 1995-07-11 | Yamae:Kk | Apparatus for saving electric power of oxygen-supplying apparatus in live fish transportation |
| CN202083968U (en) * | 2011-03-15 | 2011-12-21 | 中国水产科学研究院渔业机械仪器研究所 | Intelligent aquaculture aerator control system |
| US20130180460A1 (en) * | 2011-12-08 | 2013-07-18 | Robert W. Stiles, Jr. | Aquaculture Pump System and Method |
| CN103336503A (en) * | 2013-06-24 | 2013-10-02 | 马从国 | Aquiculture pond dissolved oxygen control system |
| US20140311416A1 (en) * | 2013-03-15 | 2014-10-23 | Robert W. Stiles, Jr. | Dissolved Oxygen Control System for Aquaculture |
| CN107361009A (en) * | 2017-07-28 | 2017-11-21 | 无锡双能达科技有限公司 | A kind of intelligent super low energy consumption aerator and its control method |
| CN109673566A (en) * | 2018-12-29 | 2019-04-26 | 嘉兴奥拓迈讯自动化控制技术有限公司 | A kind of staged fish pond dissolved oxygen control system and its control method |
| CN110810318A (en) * | 2019-11-25 | 2020-02-21 | 台州星氧电气有限公司 | Aerator and variable frequency control method thereof |
| CN112034759A (en) * | 2020-08-31 | 2020-12-04 | 咸宁市农业科学院 | Intelligent net cage fish culture monitoring system |
| CN113219878A (en) * | 2021-05-20 | 2021-08-06 | 广州华匠科技有限公司 | Automatic aerator intelligent control system based on artificial intelligence technology |
| CN113728970A (en) * | 2021-09-07 | 2021-12-03 | 浙江大学 | Circulating water culture variable-speed flow intelligent regulation and control system and method based on multi-parameter combined control |
| CN113922722A (en) * | 2021-11-18 | 2022-01-11 | 南通华裕电子有限公司 | Aerator vector control system and method based on Internet of things technology |
-
2022
- 2022-04-14 CN CN202210392862.8A patent/CN114747529B/en active Active
Patent Citations (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US4972801A (en) * | 1988-08-15 | 1990-11-27 | Hunt Robert D | Pumping system for producing oxygen enriched water useful in the growing of aquatic life |
| JPH07170881A (en) * | 1993-01-19 | 1995-07-11 | Yamae:Kk | Apparatus for saving electric power of oxygen-supplying apparatus in live fish transportation |
| CN202083968U (en) * | 2011-03-15 | 2011-12-21 | 中国水产科学研究院渔业机械仪器研究所 | Intelligent aquaculture aerator control system |
| US20130180460A1 (en) * | 2011-12-08 | 2013-07-18 | Robert W. Stiles, Jr. | Aquaculture Pump System and Method |
| US20140311416A1 (en) * | 2013-03-15 | 2014-10-23 | Robert W. Stiles, Jr. | Dissolved Oxygen Control System for Aquaculture |
| CN103336503A (en) * | 2013-06-24 | 2013-10-02 | 马从国 | Aquiculture pond dissolved oxygen control system |
| CN107361009A (en) * | 2017-07-28 | 2017-11-21 | 无锡双能达科技有限公司 | A kind of intelligent super low energy consumption aerator and its control method |
| CN109673566A (en) * | 2018-12-29 | 2019-04-26 | 嘉兴奥拓迈讯自动化控制技术有限公司 | A kind of staged fish pond dissolved oxygen control system and its control method |
| CN110810318A (en) * | 2019-11-25 | 2020-02-21 | 台州星氧电气有限公司 | Aerator and variable frequency control method thereof |
| CN113455457A (en) * | 2019-11-25 | 2021-10-01 | 台州星氧电气有限公司 | Variable frequency control method of aerator |
| CN112034759A (en) * | 2020-08-31 | 2020-12-04 | 咸宁市农业科学院 | Intelligent net cage fish culture monitoring system |
| CN113219878A (en) * | 2021-05-20 | 2021-08-06 | 广州华匠科技有限公司 | Automatic aerator intelligent control system based on artificial intelligence technology |
| CN113728970A (en) * | 2021-09-07 | 2021-12-03 | 浙江大学 | Circulating water culture variable-speed flow intelligent regulation and control system and method based on multi-parameter combined control |
| CN113922722A (en) * | 2021-11-18 | 2022-01-11 | 南通华裕电子有限公司 | Aerator vector control system and method based on Internet of things technology |
Non-Patent Citations (2)
| Title |
|---|
| 刘雨青等: "基于模糊控制的水产养殖环境智能监控系统设计", 《渔业现代化》 * |
| 潘华辰；吕明: "一种增氧高、升温低、维持水体分层的曝气方法的研究", 《工程科技Ⅰ辑》 * |
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