CN117193107A - Intelligent control method of aerator based on artificial intelligence technology - Google Patents
Intelligent control method of aerator based on artificial intelligence technology Download PDFInfo
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- CN117193107A CN117193107A CN202311272961.3A CN202311272961A CN117193107A CN 117193107 A CN117193107 A CN 117193107A CN 202311272961 A CN202311272961 A CN 202311272961A CN 117193107 A CN117193107 A CN 117193107A
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- 238000005276 aerator Methods 0.000 title claims abstract description 89
- 238000000034 method Methods 0.000 title claims abstract description 37
- 238000005516 engineering process Methods 0.000 title claims abstract description 24
- 238000013473 artificial intelligence Methods 0.000 title claims abstract description 22
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims abstract description 87
- 238000006213 oxygenation reaction Methods 0.000 claims abstract description 83
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 claims abstract description 57
- 239000001301 oxygen Substances 0.000 claims abstract description 57
- 229910052760 oxygen Inorganic materials 0.000 claims abstract description 57
- 230000007613 environmental effect Effects 0.000 claims abstract description 33
- 238000005273 aeration Methods 0.000 claims abstract description 20
- 230000007547 defect Effects 0.000 claims description 12
- VHUUQVKOLVNVRT-UHFFFAOYSA-N Ammonium hydroxide Chemical compound [NH4+].[OH-] VHUUQVKOLVNVRT-UHFFFAOYSA-N 0.000 claims description 10
- IJGRMHOSHXDMSA-UHFFFAOYSA-N nitrogen Substances N#N IJGRMHOSHXDMSA-UHFFFAOYSA-N 0.000 claims description 10
- 229910052757 nitrogen Inorganic materials 0.000 claims description 10
- XKMRRTOUMJRJIA-UHFFFAOYSA-N ammonia nh3 Chemical compound N.N XKMRRTOUMJRJIA-UHFFFAOYSA-N 0.000 claims description 7
- 238000012937 correction Methods 0.000 claims description 2
- 238000009360 aquaculture Methods 0.000 description 10
- 244000144974 aquaculture Species 0.000 description 10
- 239000003643 water by type Substances 0.000 description 8
- 230000008569 process Effects 0.000 description 6
- 238000005070 sampling Methods 0.000 description 4
- 230000005389 magnetism Effects 0.000 description 3
- 238000010586 diagram Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000008901 benefit Effects 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 230000003750 conditioning effect Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 239000003344 environmental pollutant Substances 0.000 description 1
- 238000007667 floating Methods 0.000 description 1
- 230000007246 mechanism Effects 0.000 description 1
- 210000004088 microvessel Anatomy 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 231100000719 pollutant Toxicity 0.000 description 1
Classifications
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02W—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO WASTEWATER TREATMENT OR WASTE MANAGEMENT
- Y02W10/00—Technologies for wastewater treatment
- Y02W10/10—Biological treatment of water, waste water, or sewage
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- Aeration Devices For Treatment Of Activated Polluted Sludge (AREA)
Abstract
The application discloses an intelligent control method of an aerator based on an artificial intelligence technology, which comprises the following steps: setting a shutdown condition: based on oxygen demand in an oxygenation environment, presetting conditions that an aerator does not need to be started for oxygenation tasks; acquiring environment data: collecting environment data in an oxygenation environment to obtain real-time data, wherein the environment data comprises a dissolved oxygen value O in water in the oxygenation environment; data comparison: comparing the collected environmental data with preset shutdown conditions; task execution: when the real-time data meets the shutdown condition, the aerator keeps a shutdown state and receives the collected real-time data; and when the real-time data does not meet the shutdown condition, the aerator is started to execute the aeration task. According to the intelligent control method for the aerator based on the artificial intelligence technology, data acquisition is carried out on the aeration environment, the working state of the aerator is controlled based on the acquired environment data, and the environment can be quickly and accurately adjusted to a large extent.
Description
Technical Field
The application relates to the technical field of aerator control, in particular to an aerator intelligent control method based on an artificial intelligence technology.
Background
In the aquaculture process, the dissolved oxygen in the water is the core of aquatic product growth in aquaculture, and the normal growth of aquatic products can be ensured only by controlling the content of the dissolved oxygen in the water through an aerator. Therefore, effective control of oxygen content in a aquaculture environment is central to aquaculture. However, in the prior art, most farmers currently use a manual aerator for controlling the oxygen content of a water area. The method is simple to operate, but the oxygen content in the water area cannot be accurately controlled, so that on one hand, the situation that the difference of local oxygen content is large can occur, and on the other hand, the situation that local oxygenation is too large can occur, so that the growth of aquatic products is influenced, and the cost is wasted, so that the intelligent control technology of the aerator is extremely needed.
Disclosure of Invention
The application aims to provide an intelligent control method of an aerator based on an artificial intelligence technology, which aims to solve the problem that the control effect of the conventional aerator provided in the background technology is inaccurate.
In order to achieve the above purpose, the present application discloses the following technical solutions: an intelligent control method of an aerator based on an artificial intelligence technology comprises the following steps:
setting a shutdown condition: based on oxygen demand in an oxygenation environment, presetting conditions that an aerator does not need to be started for oxygenation tasks;
acquiring environment data: collecting environment data in an oxygenation environment to obtain real-time data, wherein the environment data comprises a dissolved oxygen value O in water in the oxygenation environment;
data comparison: comparing the collected environmental data with preset shutdown conditions;
task execution: when the real-time data meets the shutdown condition, the aerator keeps a shutdown state and receives the collected real-time data; and when the real-time data does not meet the shutdown condition, the aerator is started to execute the aeration task.
Preferably, the environmental data further includes one or more of a ground temperature and humidity value T, a water surface air pressure value P, and a water ammonia nitrogen content value N, and the shutdown condition includes a ground temperature and humidity value range meeting the requirement, a water surface air pressure value range meeting the requirement, a water ammonia nitrogen content value range meeting the requirement, and a water dissolved oxygen value range meeting the requirement, where the ground temperature and humidity value range meeting the requirement is T min ～T max The range of the water surface air pressure meeting the requirements is P min ～P max The ammonia nitrogen content range of the water body meeting the requirements is N min ～N max The water dissolved oxygen value meeting the requirement ranges from O min ～O max 。
Preferably, the task execution specifically includes:
the dissolved oxygen value O < O in the water in the real-time data min When the aerator is started to execute the aeration task;
the dissolved oxygen value O in the water in the real-time data satisfies O min ≤O≤O max When any one of the environmental data except the dissolved oxygen value in the water in the real-time data is smaller than the minimum value in the corresponding shutdown condition, the aerator is started to execute the oxygenation task and define the environmental data as defect data until the defect data meets the corresponding shutdown condition, and the oxygenation task is stopped by the aerator; or until the dissolved oxygen value O in the water is more than or equal to O max Or when the dissolved oxygen value in the removed water in the real-time data and the data of the defect data are equal to the maximum value in the corresponding shutdown condition, stopping the oxygenation task by the aerator.
Preferably, the intelligent control method of the aerator based on the artificial intelligence technology further comprises the following steps:
setting an acquisition point: setting a plurality of scattered acquisition positioning points in an oxygenation environment; the environmental data are acquired by acquisition at each of the acquisition positioning points.
Preferably, when the oxygenation task is executed, the method further comprises controlling the mobile oxygenation device to move from the starting origin to an acquisition positioning point corresponding to the data which does not meet the shutdown condition in the real-time data to execute the oxygenation task, defining the acquisition positioning point as a target acquisition positioning point, and returning the mobile oxygenation device to the starting origin after the oxygenation task is executed.
Preferably, the mobile oxygenation device comprises a mobile platform, a small aerator arranged on the mobile platform and a driving device arranged on the mobile platform, wherein the driving device is in signal connection with a control server, receives a control instruction issued by the control server, and moves from the starting origin to a target acquisition positioning point or returns from the target acquisition positioning point to the starting origin along a preset navigation path.
Preferably, a navigation harness is arranged between the acquisition positioning point and the departure origin, the mobile platform is connected with the navigation harness, and the mobile platform carries out course correction on the target acquisition positioning point through the corresponding navigation harness.
Preferably, an electromagnetic magnetic suction plate is arranged at the top of the mobile platform, a connector is arranged at one end of the navigation harness, which is positioned at the departure origin, the top of the connector is sleeved on the navigation harness, after a target acquisition positioning point requiring to execute an oxygenation task is determined, the control server controls the connector to extend downwards, and meanwhile controls the electromagnetic magnetic suction plate to be connected and fixed with the connector after the electromagnetic magnetic suction plate is electrified.
Preferably, when the oxygenation task is executed, the acquisition locating point adjacent to the target acquisition locating point returns the acquired real-time data in real time, and when the real-time data returned by the adjacent acquisition locating point is greater than the maximum value in the shutdown condition, the mobile oxygenation device stops the oxygenation task; and after a time interval T, the target acquisition positioning point returns real-time data, when the real-time data returned by the target acquisition positioning point does not meet the shutdown condition, the mobile oxygenation device executes an oxygenation task, and the adjacent acquisition positioning points repeatedly return the acquired real-time data and compare the acquired real-time data with the shutdown condition.
Preferably, when K times of real-time data returned by the target acquisition positioning point do not meet a shutdown condition, and in the process that the mobile oxygenation device executes an oxygenation task, the real-time data returned by the adjacent acquisition positioning point is larger than the maximum value in the shutdown condition, and an environmental safety alarm is carried out on the target acquisition positioning point, wherein K is more than or equal to 3.
The beneficial effects are that: according to the intelligent control method of the aerator based on the artificial intelligence technology, data acquisition is carried out on the aeration environment, and the working state of the aerator is controlled based on the acquired environment data. The environmental data comprise one or more of a ground temperature and humidity value T, a water surface air pressure value P and a water ammonia nitrogen content value N, so that the data acquisition is comprehensively carried out on the cultivation environment of the water area, and the intelligent control of the aerator is realized on the basis of comparison with preset shutdown conditions. On the other hand, through the monitoring to a plurality of environmental data to the oxygen-increasing machine control, when guaranteeing that the dissolved oxygen value O in the aquatic is in normal range, influence work through the oxygen-increasing machine oxygenation and to ground humiture value T, surface of water atmospheric pressure value P, water ammonia nitrogen content value N to optimize the aquaculture environment in waters, improve waters environmental quality, and then improve the aquaculture quality of aquatic products. Furthermore, based on traditional oxygenation mode, the cooperation removes oxygenation device and carries out fixed point oxygenation to the collection setpoint that needs the oxygenation mode, can be to great degree quick, accurate carry out environmental conditioning to the waters, and then ensures the equilibrium of influence factor in each region of aquaculture environment, ensures the quality of water in whole waters, reaches the purpose of intelligent control waters quality of water.
Drawings
In order to more clearly illustrate the embodiments of the application or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the application, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of an intelligent control method of an aerator based on artificial intelligence technology in embodiment 1 of the application;
FIG. 2 is a schematic diagram of a mobile oxygenation device according to embodiment 3 of the application;
fig. 3 is a layout diagram of a navigation harness in embodiment 3 of the present application.
Reference numerals: 1. a mobile platform; 2. a small aerator; 3. a driving device; 4. navigation harness; 5. an electromagnetic magnetic plate; 6. and (5) a connector.
Detailed Description
The following description of the embodiments of the present application will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
In the description of the present disclosure, it should be noted that the positional or positional relationship indicated by the terms such as "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", "top", "bottom", etc. are based on the positional or positional relationship shown in the drawings, are merely for convenience of describing the present disclosure and simplifying the description, and do not indicate or imply that the apparatus or elements referred to must have a specific orientation, be configured and operated in a specific orientation, and thus should not be construed as limiting the present disclosure. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
It should be noted that, standard parts used in the present application document can be purchased from market, and can be customized according to the description of the specification and the drawings. Unless specifically stated or limited otherwise, the terms "mounted," "connected," and "coupled" are to be construed broadly, and may be, for example, fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; can be directly connected or indirectly connected through an intermediate medium, and can be communication between two elements. The specific meaning of the terms in this disclosure will be understood by those of ordinary skill in the art on a case-by-case basis, and without explicit limitation, machines, parts, and equipment may take the form of conventional ones in the art.
In this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising … …" does not exclude the presence of other like elements in a process, method, article or apparatus that comprises the element.
Example 1
Referring to fig. 1, an intelligent control method of an aerator based on artificial intelligence technology includes:
s101-setting a shutdown condition: based on oxygen demand in the oxygenation environment, the condition that the oxygenation machine does not need to be started for oxygenation tasks is preset. The oxygenation environment refers to a water area for aquatic product cultivation, such as a pond and the like. In this embodiment, the aerator includes at least one aerator mounted in a fixed location based on the area of the water area and the conventional aerator's layout.
S102, acquiring environment data: and acquiring environmental data in the oxygenation environment to obtain real-time data, wherein the environmental data comprises a dissolved oxygen value O in water in the oxygenation environment. I.e. the most basic shutdown conditions are: the dissolved oxygen value O in the water in the oxygenation environment detected in real time falls into the water dissolved oxygen value range O meeting the requirement min ～O max In, i.e. O min ≤O≤O max 。
S103-data comparison: and comparing the collected environmental data with preset shutdown conditions.
S104, task execution: when the real-time data meets the shutdown condition, i.e. O min ≤O≤O max And when the aerator is in a shutdown state, and receives the real-time data which is returned after being collected. And when the real-time data does not meet the shutdown condition, the aerator is started to execute the aeration task. It should be noted that when no oxygen increasing intervention is performed, as known to those skilled in the art, the dissolved oxygen value O in water is rarely larger, and therefore, the condition that the dissolved oxygen value O in water does not satisfy the shutdown condition in the present application means that O < O min 。
Example 2
The intelligent control method of the aerator based on the artificial intelligence technology in the embodiment comprises the following steps:
s101-setting a shutdown condition: based on oxygen demand in the oxygenation environment, the condition that the oxygenation machine does not need to be started for oxygenation tasks is preset. The oxygenation environment refers to a water area for aquatic product cultivation, such as a pond and the like. In this embodiment, the aerator includes at least one aerator mounted in a fixed location based on the area of the water area and the conventional aerator's layout.
S102, acquiring environment data: collecting environmental data in an oxygenation environment to obtain real-time data, wherein the environmental data comprises a dissolved oxygen value O in the oxygenation environment, a ground temperature and humidity value T, a water surface air pressure value P and a water ammonia nitrogen content value N, and the environmental data corresponds to the ground temperature and humidity value, the water surface air pressure value, the water ammonia nitrogen content value and the water dissolved oxygen value, and the ground temperature and humidity value is T min ～T max The range of the water surface air pressure meeting the requirements is P min ～P max The ammonia nitrogen content range of the water body meeting the requirements is N min ～N max The water dissolved oxygen value meeting the requirement ranges from O min ～O max 。
S103-data comparison: and comparing the collected environmental data with preset shutdown conditions.
S104, task execution: when the real-time data meets the shutdown condition, i.e. O min ≤O≤O max And when the aerator is in a shutdown state, and receives the real-time data which is returned after being collected. And when the real-time data does not meet the shutdown condition, the aerator is started to execute the aeration task. As described in the examples, it should be noted that when no aeration intervention is performed, it is known to those skilled in the art that the dissolved oxygen value O in water is rarely high, and therefore, that the dissolved oxygen value O in water does not satisfy the shutdown condition in the present application means that O < O min . Specifically, the task execution specifically includes:
the dissolved oxygen value O < O in the water in the real-time data min When the aerator is started to execute the aeration task;
the dissolved oxygen value O in the water in the real-time data satisfies O min ≤O≤O max When any one of the environmental data except the dissolved oxygen value in the water in the real-time data is smaller than the minimum value in the corresponding shutdown condition, namely when the temperature and humidity value T of the ground is less than T min P is less than P when the water surface air pressure value P is less than P min N is less than N in ammonia nitrogen content value of water body min When the aerator is started to execute the aeration task, and the environmental data are defined as defect data, and the aerator stops the aeration task until the defect data meet the corresponding shutdown conditions; or until the dissolved oxygen value O in the water is more than or equal to O max Or when the dissolved oxygen value in the removed water in the real-time data and the data of the defect data are equal to the maximum value in the corresponding shutdown condition, stopping the oxygenation task by the aerator.
Example 3
The intelligent control method of the aerator based on the artificial intelligence technology in the embodiment comprises the following steps:
s101-setting a shutdown condition: based on oxygen demand in the oxygenation environment, the condition that the oxygenation machine does not need to be started for oxygenation tasks is preset. The oxygenation environment refers to a water area for aquatic product cultivation, such as a pond and the like. In this embodiment, the aerator includes at least one aerator that is installed at a fixed location based on the area of the water area and the conventional aerator arrangement, and further includes a mobile aerator that will be described later, and the aerator is defined as a fixed-point aerator.
S102, setting an acquisition point: setting a plurality of scattered acquisition positioning points in an oxygenation environment; the environmental data are acquired by acquisition at each of the acquisition positioning points. The acquisition locating points refer to sampling points which are arranged in the water quality sampling device, the sampling points are representative of water quality sampling, and a moderate interval is reserved between two adjacent acquisition locating points. The advantage of setting like this is, because the variety of aquaculture environment, the quality of water in each region of whole waters exists different circumstances, consequently, carries out data acquisition to each position in the waters and has profound meaning, can ensure the unification and the quality of water of whole aquaculture environment.
S103-getTaking environment data: collecting environmental data in an oxygenation environment to obtain real-time data, wherein the environmental data comprises a dissolved oxygen value O in the oxygenation environment, a ground temperature and humidity value T, a water surface air pressure value P and a water ammonia nitrogen content value N, and the environmental data corresponds to the ground temperature and humidity value, the water surface air pressure value, the water ammonia nitrogen content value and the water dissolved oxygen value, and the ground temperature and humidity value is T min ～T max The range of the water surface air pressure meeting the requirements is P min ～P max The ammonia nitrogen content range of the water body meeting the requirements is N min ～N max The water dissolved oxygen value meeting the requirement ranges from O min ～O max 。
S104-data comparison: and comparing the collected environmental data with preset shutdown conditions.
S105, task execution: when the real-time data meets the shutdown condition, i.e. O min ≤O≤O max And when the aerator is in a shutdown state, and receives the real-time data which is returned after being collected. And when the real-time data does not meet the shutdown condition, the aerator is started to execute the aeration task. As described in the examples, it should be noted that when no aeration intervention is performed, it is known to those skilled in the art that the dissolved oxygen value O in water is rarely high, and therefore, that the dissolved oxygen value O in water does not satisfy the shutdown condition in the present application means that O < O min . Specifically, the task execution specifically includes:
the dissolved oxygen value O < O in the water in the real-time data min When the aerator is started to execute the aeration task; the dissolved oxygen value O in the water in the real-time data satisfies O min ≤O≤O max When any one of the environmental data except the dissolved oxygen value in the water in the real-time data is smaller than the minimum value in the corresponding shutdown condition, namely when the temperature and humidity value T of the ground is less than T min P is less than P when the water surface air pressure value P is less than P min N is less than N in ammonia nitrogen content value of water body min When the aerator is started to execute the aeration task, anddefining the environment data as defect data, and stopping the oxygenation task by the aerator until the defect data meets corresponding shutdown conditions; or until the dissolved oxygen value O in the water is more than or equal to O max Or when the dissolved oxygen value in the removed water in the real-time data and the data of the defect data are equal to the maximum value in the corresponding shutdown condition, stopping the oxygenation task by the aerator.
Further, when the oxygenation task is executed, the method further comprises the step of controlling the mobile oxygenation device to move from the starting origin to an acquisition positioning point corresponding to the data which does not meet the shutdown condition in the real-time data to execute the oxygenation task, defining the acquisition positioning point as a target acquisition positioning point, and returning the mobile oxygenation device to the starting origin after the oxygenation task is executed.
In this embodiment, as shown in fig. 2 and 3, the mobile oxygenation device includes a mobile platform 1, a small aerator 2 mounted on the mobile platform, and a driving device 3 mounted on the mobile platform. The mobile platform 1 may be any of the prior art, such as a floating platform or the like. The driving means 3 may be any of the prior art, such as propulsion means of small or micro vessels of the prior art. The small aerator 2 can be an aerator device with smaller volume and smaller volume in the prior art. The driving device 3 is in signal connection with a control server, which may be any of the prior art, such as a PLC controller. The driving device 3 receives the control instruction issued by the control server, and moves from the starting origin to the target acquisition positioning point or returns from the target acquisition positioning point to the starting origin along a preset navigation path. In this embodiment, a navigation harness 4 is disposed between the collecting positioning point and the departure origin, the mobile platform 1 is connected with the navigation harness 4, and the mobile platform 1 corrects the heading of the target collecting positioning point through the corresponding navigation harness 4, specifically, when the mobile platform 1 moves, due to the connection relationship between the two, the mobile platform 1 is held by the navigation harness 4, so that the mobile platform 1 can only move along the navigation harness 4, and the heading of the mobile platform 1 is ensured to be accurate.
Further, an electromagnetic magnetic suction plate 5 is disposed at the top of the mobile platform 1, and the electromagnetic magnetic suction plate 5 is a plate-shaped structure that is fixed at the top of the mobile platform 1 or at the top position of the whole mobile oxygenation device (which is convenient to connect with the connector 6). The navigation pencil 4 is gone up and is located the one end of origin of departure is provided with connector 6, the top cover of connector 6 is located on the navigation pencil 4, the concrete mechanism of connector 6 can be by electric telescopic handle and magnetism inhale the piece and constitute, and the top that the piece was inhaled to the magnetism articulates and installs on electric telescopic handle's flexible end, and during the use, electric telescopic handle makes the magnetism inhale the piece and move downwards after stretching out. After determining a target acquisition positioning point for executing an oxygenation task, the control server controls the connector 6 to extend downwards, and simultaneously controls the electromagnetic magnetic suction plate 5 to be fixedly connected with the connector 6 after being electrified, and after returning to a starting origin, the electromagnetic magnetic suction plate 5 is disconnected with the connector 6 after being powered off.
Example 4
Unlike embodiment 3, in this embodiment, when the oxygenation task is executed, the collection positioning point adjacent to the target collection positioning point returns the collected real-time data in real time, and when the real-time data returned by the adjacent collection positioning point is greater than the maximum value in the shutdown condition, the mobile oxygenation device stops the oxygenation task; and after a time interval T, the target acquisition positioning point returns real-time data, when the real-time data returned by the target acquisition positioning point does not meet the shutdown condition, the mobile oxygenation device executes an oxygenation task, and the adjacent acquisition positioning points repeatedly return the acquired real-time data and compare the acquired real-time data with the shutdown condition. And when the real-time data returned by the target acquisition positioning point does not meet the shutdown condition in K times, and in the process that the mobile oxygenation device executes the oxygenation tasks, the real-time data returned by the adjacent acquisition positioning point is larger than the maximum value in the shutdown condition, and the environment safety alarm is carried out on the target acquisition positioning point, wherein K is more than or equal to 3. The purpose of doing so is, when a certain area in the waters carries out the quality of water regulation through the oxygen-increasing machine oxygenation and lacks and can't adjust the quality of water to the shut down condition, the quality of water in this area is judged to have quality of water problem, for example there is the pollution source to lead to the quality of water to descend and appear for example in the circumstances such as dissolved oxygen in the water diminishes, the water ammonia nitrogen volume is disturbed, send out environmental safety alarm promptly at this moment, the backstage personnel carries out manual intervention to this area based on this alarm, for example clear away pollutant etc. to make the quality of water in this area avoid suffering the appearance of circumstances such as pollution, ensure that quality of water satisfies the aquaculture requirement.
Finally, it should be noted that: the foregoing description is only illustrative of the preferred embodiments of the present application, and although the present application has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that modifications may be made to the embodiments described, or equivalents may be substituted for elements thereof, and any modifications, equivalents, improvements or changes may be made without departing from the spirit and principles of the present application.
Claims (10)
1. An intelligent control method of an aerator based on an artificial intelligence technology is characterized by comprising the following steps:
setting a shutdown condition: based on oxygen demand in an oxygenation environment, presetting conditions that an aerator does not need to be started for oxygenation tasks;
acquiring environment data: collecting environment data in an oxygenation environment to obtain real-time data, wherein the environment data comprises a dissolved oxygen value O in water in the oxygenation environment;
data comparison: comparing the collected environmental data with preset shutdown conditions;
task execution: when the real-time data meets the shutdown condition, the aerator keeps a shutdown state and receives the collected real-time data; and when the real-time data does not meet the shutdown condition, the aerator is started to execute the aeration task.
2. The intelligent control method for the aerator according to claim 1, wherein the environmental data further comprises a ground temperature and humidity value T, a water surface air pressure value P and waterOne or more of the ammonia nitrogen content values N, and the shutdown conditions correspondingly comprise a ground temperature and humidity value range meeting the requirement, a water surface air pressure value range meeting the requirement, a water ammonia nitrogen content value range meeting the requirement and a water dissolved oxygen value range meeting the requirement, wherein the ground temperature and humidity value range meeting the requirement is T min ～T max The range of the water surface air pressure meeting the requirements is P min ～P max The ammonia nitrogen content range of the water body meeting the requirements is N min ～N max The water dissolved oxygen value meeting the requirement ranges from O min ～O max 。
3. The intelligent control method for the aerator according to claim 2, wherein the task execution specifically comprises:
the dissolved oxygen value O < O in the water in the real-time data min When the aerator is started to execute the aeration task;
the dissolved oxygen value O in the water in the real-time data satisfies O min ≤O≤O max When any one of the environmental data except the dissolved oxygen value in the water in the real-time data is smaller than the minimum value in the corresponding shutdown condition, the aerator is started to execute the oxygenation task and define the environmental data as defect data until the defect data meets the corresponding shutdown condition, and the oxygenation task is stopped by the aerator; or until the dissolved oxygen value O in the water is more than or equal to O max Or when the dissolved oxygen value in the removed water in the real-time data and the data of the defect data are equal to the maximum value in the corresponding shutdown condition, stopping the oxygenation task by the aerator.
4. The intelligent control method for an oxygen-increasing machine based on the artificial intelligence technology according to claim 1, wherein the intelligent control method for an oxygen-increasing machine based on the artificial intelligence technology further comprises:
setting an acquisition point: setting a plurality of scattered acquisition positioning points in an oxygenation environment; the environmental data are acquired by acquisition at each of the acquisition positioning points.
5. The intelligent control method for the aerator based on the artificial intelligence technology according to claim 4, wherein when the aerator is executing the aerator, the intelligent control method further comprises controlling a mobile aerator to move from a starting origin to an acquisition positioning point corresponding to the data which does not meet the stop condition in the real-time data to execute the aerator, defining the acquisition positioning point as a target acquisition positioning point, and returning the mobile aerator to the starting origin after the aerator is executed.
6. The intelligent control method for the aerator based on the artificial intelligence technology according to claim 5, wherein the mobile aerator comprises a mobile platform (1), a small aerator (2) arranged on the mobile platform and a driving device (3) arranged on the mobile platform, the driving device (3) is in signal connection with a control server, and the driving device (3) receives a control instruction issued by the control server and moves from the origin to a target acquisition locating point or returns from the target acquisition locating point to the origin along a preset navigation path.
7. The intelligent control method for the aerator based on the artificial intelligence technology according to claim 6, wherein a navigation harness (4) is arranged between the acquisition positioning point and the departure origin point, the mobile platform (1) is connected with the navigation harness (4), and the mobile platform (1) carries out course correction on the target acquisition positioning point through the corresponding navigation harness (4).
8. The intelligent control method for the aerator based on the artificial intelligence technology according to claim 7, wherein an electromagnetic magnetic attraction plate (5) is arranged at the top of the mobile platform (1), a connector (6) is arranged at one end of the navigation harness (4) located at the departure origin, the top of the connector (6) is sleeved on the navigation harness (4), after a target collection positioning point required to perform an oxygenation task is determined, the control server controls the connector (6) to extend downwards, and meanwhile controls the electromagnetic magnetic attraction plate (5) to be connected and fixed with the connector (6) after the electromagnetic magnetic attraction plate (5) is electrified.
9. The intelligent control method for the aerator based on the artificial intelligence technology according to claim 5, wherein when the aerator is executing the aeration task, the acquisition positioning points adjacent to the target acquisition positioning points return the acquired real-time data in real time, and when the real-time data returned by the adjacent acquisition positioning points is larger than the maximum value in the shutdown condition, the mobile aerator stops the aeration task; and after a time interval T, the target acquisition positioning point returns real-time data, when the real-time data returned by the target acquisition positioning point does not meet the shutdown condition, the mobile oxygenation device executes an oxygenation task, and the adjacent acquisition positioning points repeatedly return the acquired real-time data and compare the acquired real-time data with the shutdown condition.
10. The intelligent control method for the aerator based on the artificial intelligence technology according to claim 9, wherein when K times of real-time data returned by the target acquisition positioning point do not meet a shutdown condition, and when the mobile aerator executes an aeration task, the real-time data returned by the adjacent acquisition positioning point is larger than the maximum value in the shutdown condition, an environmental safety alarm is carried out on the target acquisition positioning point, wherein K is more than or equal to 3.
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