CN111700028A

CN111700028A - Intelligent oxygenation and water quality monitoring method and system for aquaculture industry based on Internet of things

Info

Publication number: CN111700028A
Application number: CN202010663652.9A
Authority: CN
Inventors: 王丽
Original assignee: Shenzhen Netlink Intelligent System Co ltd
Current assignee: Shenzhen Netlink Intelligent System Co ltd
Priority date: 2020-07-10
Filing date: 2020-07-10
Publication date: 2020-09-25

Abstract

The invention provides an intelligent oxygenation and water quality monitoring method and system for aquaculture industry based on the Internet of things. The system integrates the current latest technology, integrates various water quality data of a culture site by using the transmission of the Internet of things, breaks an information island, runs in a highly automatic mode in an unattended mode, even informs farmers to perform manual intervention in time when equipment runs in a fault, so that manpower is liberated, energy is saved, the comprehensive culture cost is greatly reduced, the culture income is improved, the oxygen content in the culture farm can be detected in real time, whether oxygenation operation is needed or not is judged based on a real-time detection result, the phenomena of oxygenation energy waste and low efficiency in the culture farm caused by judging oxygenation operation by adopting an artificial experience mode are prevented, the farmers can even check the water quality data of the culture farm in real time through a smart phone app in a remote mode, and various data monitoring ranges can be adjusted in a remote dynamic mode in combination with weather conditions and become effective immediately.

Description

Intelligent oxygenation and water quality monitoring method and system for aquaculture industry based on Internet of things

Technical Field

The invention belongs to the field of water quality monitoring, and particularly relates to an intelligent oxygenation and water quality monitoring method and system for aquaculture industry based on the Internet of things.

Background

The aquaculture industry can not keep away from water quality monitoring, and farmers mostly need to start an aerator to a culture site every day in a fully empirical stage aiming at aeration operation in the water quality monitoring process so as to prevent the cultured fishes from dying due to oxygen deficiency and causing great economic loss. Because the raiser is not clear about the oxygen content in the current water, the raiser can only leave the culture site under the condition that the oxygen increasing machine opening time is prolonged as far as possible and the dissolved oxygen rate is estimated to be sufficient by experience. In the process, farmers can only wait on site, and a large amount of energy is wasted by prolonging the running time of the aerator, so that the cultivation cost is increased.

In the existing water quality monitoring process, oxygenation to a farm is operated based on experience of a user, so that the operation of the user is complicated, the oxygenation efficiency of the farm is reduced, and a large amount of energy is wasted.

Two oxygenation solutions exist in the market today:

firstly, the method comprises the following steps: hand-held oxygen dissolving detector

The raiser still goes to the manual oxygen-increasing machine that opens of culture scene, dissolves oxygen detection with the dissolved oxygen detector when handheld at any time at the oxygenation in-process, closes the oxygen-increasing machine when dissolved oxygen value is qualified.

II, secondly: full-automatic oxygenation controller

The controller adopts a full-automatic technology to monitor dissolved oxygen in a culture site, automatically controls to start the aerator when the dissolved oxygen value is lower than a limit value, and automatically closes the aerator when the dissolved oxygen value is higher than the limit value.

Although the technology realizes automatic control, the technology application is still in a primary stage and has the following defects:

1. the controller is placed on a culture site to automatically operate, and farmers cannot acquire real-time dissolved oxygen data of the culture site in real time and cannot know the real-time operation condition of equipment.

2. The farmers can not dynamically adjust the upper limit and the lower limit of dissolved oxygen in real time according to the conditions of seasons, weather and the like to achieve the optimal dissolved oxygen rate, and the farmers must go to the culture site to adjust the dissolved oxygen rate.

3. All electrical and mechanical equipment has the possibility of failure in long-term operation. If the controller fails to perform oxygenation, farmers cannot be informed in time, and a great deal of fishes are likely to die due to oxygen deficiency, so that great loss is caused.

4. The controller only monitors dissolved oxygen data, and does not monitor other water quality data.

Aiming at the problems, the system and the method are integrated with the current latest technology, various water quality data of a culture site are integrated by using the transmission of the Internet of things, an information island is broken, the system and the method operate in an unattended mode in a highly automatic mode, and even when equipment fails to operate, farmers are informed of manual intervention in time, so that manpower is liberated, energy is saved, the comprehensive culture cost is greatly reduced, and the culture benefit is improved.

Disclosure of Invention

The embodiment of the invention aims to provide an intelligent oxygenation and water quality monitoring method and system for the aquaculture industry based on the Internet of things, and aims to solve the problem that oxygenation efficiency of a farm is low due to oxygenation operation based on experience of a user in the existing water quality monitoring method.

The embodiment of the invention is realized in such a way that an aquaculture intelligent oxygenation and water quality monitoring method based on the Internet of things comprises the following steps:

continuously acquiring the oxygen content in the target farm according to a first preset time interval to obtain a dissolved oxygen detection value;

if the dissolved oxygen detection value is smaller than a preset dissolved oxygen value, controlling an aerator to aerate the target farm until the dissolved oxygen detection value is larger than or equal to the preset dissolved oxygen value;

if the dissolved oxygen detection value is larger than the preset dissolved oxygen value, controlling the aerator to stop;

continuously acquiring the PH value in the target farm according to a second preset time interval to obtain a PH detection value;

if the PH detection value is not within the preset PH value range, sending a warning that the PH value is abnormal to a communication address preset by a user;

continuously acquiring a temperature value in the target farm according to a third preset time interval to obtain a temperature detection value;

and if the temperature detection value is not within the preset temperature value range, sending abnormal reminding of the water temperature data value to the communication address.

Still further, the method further comprises:

and if the dissolved oxygen detection value, the PH value or the temperature value is not obtained within the preset time interval, sending a system software and hardware fault prompt to the communication address so as to prompt a user to perform detection and maintenance on software and hardware installed in the target farm.

Another objective of the embodiments of the present invention is to provide an intelligent oxygen increasing and water quality monitoring system for aquaculture industry based on internet of things, which includes:

the dissolved oxygen detection module is used for continuously obtaining the oxygen content in the target farm according to a first preset time interval to obtain dissolved oxygen detection, and if the dissolved oxygen detection value is smaller than a preset dissolved oxygen value, controlling an aerator to aerate the target farm until the dissolved oxygen detection value is larger than or equal to the preset dissolved oxygen value;

the PH detection module is used for continuously obtaining a PH value in the target farm according to a second preset time interval to obtain a PH detection value, and if the PH detection value is not in a preset PH value range, sending a PH non-abnormal prompt to a communication address preset by a user to prompt the user to adjust the PH of the target farm;

and the temperature detection module is used for continuously acquiring the temperature value in the target farm according to a third preset time interval to obtain a temperature detection value, and if the temperature detection value is not within a preset temperature value range, sending abnormal reminding of a water temperature data value to the communication address to prompt a user to regulate the temperature of the target farm.

Furthermore, the aquaculture industry intelligent oxygenation and water quality monitoring system based on the internet of things further comprises:

and the maintenance prompting module is used for sending system software and hardware fault prompt to the communication address if the dissolved oxygen detection value, the PH value or the temperature value is not obtained within the preset time interval so as to prompt a user to detect and maintain the software and hardware installed in the target farm.

The embodiment of the invention integrates the current latest technology, integrates various water quality data of a culture site by using the transmission of the Internet of things, breaks an information island, the operation is highly automated in an unattended mode, even if the equipment fails to operate, farmers are informed to perform human intervention in time, so as to achieve the purposes of releasing manpower, saving energy, thereby greatly reducing the comprehensive breeding cost, improving the breeding income, detecting the oxygen content in the farm in real time, judging whether the oxygen increasing operation is needed or not based on the real-time detection result, thereby preventing the phenomenon of low oxygenation efficiency in the farm caused by adopting an artificial experience mode to carry out oxygenation operation judgment, improving the water quality monitoring effect of the farm, continuously collecting the oxygen content in the water of the farm, when the collected oxygen content is lower than a preset value, immediately controlling a relay to start an aerator for aeration operation; when the acquired oxygen content is higher than a preset value, the relay is immediately controlled to close the aerator, various data are stored in the process, a farmer can remotely check the currently/historically monitored oxygen content data and the starting and stopping time of the aerator in real time through the App, PH value data in water in a breeding site are continuously acquired, when the acquired PH value is lower than or higher than the preset value, the farmer is warned in real time through the App/short message/voice single telephone to remind the farmer to perform site processing in time, water temperature data in the breeding site are continuously acquired, and when the acquired water temperature value is lower than or higher than the preset value, the farmer is warned in real time through the App/short message/voice single telephone to remind the farmer to perform site processing in time.

Drawings

FIG. 1 is a flow chart of an intelligent oxygen increasing and water quality monitoring method for aquaculture industry based on the Internet of things according to a first embodiment of the invention;

FIG. 2 is a network topology provided by a first embodiment of the present invention;

FIG. 3 is a flowchart of a controller program according to a first embodiment of the present invention;

fig. 4 is a flowchart of an App program according to the first embodiment of the invention;

fig. 5 is a flowchart of a device operation abnormality monitoring program according to a first embodiment of the present invention;

fig. 6 is a schematic structural diagram of an intelligent oxygen increasing and water quality monitoring system for aquaculture industry based on the internet of things according to a second embodiment of the invention.

Detailed Description

In order to make the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be described clearly and completely with reference to the accompanying drawings of the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be obtained by a person skilled in the art without any inventive step based on the embodiments of the present invention, are within the scope of the present invention. Thus, the following detailed description of the embodiments of the present invention, presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be obtained by a person skilled in the art without any inventive step based on the embodiments of the present invention, are within the scope of the present invention.

In the description of the present invention, it is to be understood that the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", "clockwise", "counterclockwise", and the like, indicate orientations and positional relationships based on those shown in the drawings, and are used only for convenience of description and simplicity of description, and do not indicate or imply that the equipment or element being referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus, should not be considered as limiting the present invention.

Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of the present invention, "a plurality" means two or more unless specifically defined otherwise.

In the present invention, unless otherwise expressly stated or limited, the terms "mounted," "connected," "secured," and the like are to be construed broadly and can, for example, be fixedly connected, detachably connected, or integrally formed; can be mechanically or electrically connected; either directly or indirectly through intervening media, either internally or in any other relationship. The specific meanings of the above terms in the present invention can be understood by those skilled in the art according to specific situations.

In the present invention, unless otherwise expressly stated or limited, "above" or "below" a first feature means that the first and second features are in direct contact, or that the first and second features are not in direct contact but are in contact with each other via another feature therebetween. Also, the first feature being "on," "above" and "over" the second feature includes the first feature being directly on and obliquely above the second feature, or merely indicating that the first feature is at a higher level than the second feature. A first feature being "under," "below," and "beneath" a second feature includes the first feature being directly under and obliquely below the second feature, or simply meaning that the first feature is at a lesser elevation than the second feature.

In order to explain the technical means of the present invention, the following description will be given by way of specific examples.

Example one

Referring to fig. 1 to 5, a flow chart of an intelligent oxygen increasing and water quality monitoring method for aquaculture industry based on internet of things according to a first embodiment of the present invention includes the following steps:

step S1, continuously acquiring the oxygen content in the target farm according to a first preset time interval to obtain a dissolved oxygen detection value;

wherein, according to the size of the culture field, a group of or a plurality of groups of dissolved oxygen, PH value and temperature sensors can be arranged in a scattered way, and the sensors transmit water quality data to the controller by wired or wireless technologies such as Rs232/Rs 485/Wifi/Bluetooth/Lora/ZigBee; one or more installed oxygen increasing machines are controlled by a controller to be turned on/off through a relay. The one-to-many mode that one relay controls a plurality of oxygen-increasing machines can be adopted, and the one-to-one mode that one relay only controls one oxygen-increasing machine can also be adopted.

Step S2, if the dissolved oxygen detection value is smaller than a preset dissolved oxygen value, controlling an aerator to aerate the target farm until the dissolved oxygen detection value is larger than or equal to the preset dissolved oxygen value;

after the controller program is started to run, the water quality is monitored by various sensors periodically and circularly. Dissolved oxygen sensor: continuously collecting the oxygen content in the water of the culture site, and immediately controlling a relay to start an aerator to carry out aeration operation when the collected oxygen content is lower than a preset value; when the acquired oxygen content is higher than a preset value, the relay is immediately controlled to close the aerator, various data are stored in the process, and a farmer can remotely check the currently/historically monitored oxygen content data and the starting-up and shutdown time of the aerator in real time through the App.

Step S3, if the dissolved oxygen detection value is larger than the preset dissolved oxygen value, controlling the aerator to stop;

step S4, continuously acquiring a PH value in the target farm according to a second preset time interval to obtain a PH detection value;

step S5, if the PH detection value is not within the preset PH value range, sending abnormal PH reminding to a communication address preset by a user to remind the farmer to process in time;

wherein, the PH sensor: and continuously collecting PH value data in the water of the aquaculture field, and when the collected PH value is lower than or higher than a preset value, alarming the aquaculture user in real time through an App/short message/voice single telephone to remind the aquaculture user to perform field treatment in time.

Step S6, continuously acquiring a temperature value in the target farm according to a third preset time interval to obtain a temperature detection value;

step S7, if the temperature detection value is not in the preset temperature value range, sending abnormal reminding of the water temperature data value to the communication address to remind the farmer to process in time;

wherein, the temperature sensor: the method comprises the steps of continuously collecting water temperature value data of a culture site, and when the collected water temperature value is lower than or higher than a preset value, giving an alarm to a farmer in real time through an App/short message/voice single telephone to remind the farmer to perform site treatment in time.

In this embodiment, the method further includes:

if the dissolved oxygen detection value, the PH value or the temperature value is not obtained within the preset time interval, sending a system software and hardware fault prompt to the communication address to prompt a user to perform detection and maintenance on software and hardware installed in the target farm;

the terminal equipment continuously inquires whether the sensor has data to upload, when the last data uploading time exceeds a preset time interval set by a user, the operation of the corresponding sensor is judged to be in fault, and an App (short message, voice telephone) is used for giving an alarm to the user in real time to remind the farmer of timely performing field processing.

In the embodiment, after the controller program is started to operate, the operating parameters set by the farmer are downloaded from the internet of things server through the mobile communication module at regular time, data of each sensor are collected continuously and circularly, the data collected each time are stored in the controller memory, and simultaneously, the controller program drives the relay to start the aerator to carry out aeration operation with the preset aerator on/off dissolved oxygen rate, and when the collected dissolved oxygen rate is smaller than the aerator on dissolved oxygen rate threshold value, the dissolved oxygen rate and the starting time when the aerator is started are recorded; when the collected dissolved oxygen rate is larger than the dissolved oxygen rate threshold value when the aerator is shut down, the controller program drives the relay to shut down the aerator to stop aeration operation, and the dissolved oxygen rate and the shutdown time when the aerator is shut down are recorded.

In addition, in this embodiment, all the sensor data collected during the operation process are firstly temporarily stored in the controller, the controller program automatically and continuously uploads the collected data and the operation data to the server of the internet of things through the communication module, and the data after successful uploading is deleted from the controller.

And the Internet of things server program continuously compares the PH value and the temperature value data uploaded by the controller with the upper limit/lower limit value of data preset by the farmer, and when the PH value and the temperature value data exceed the limits, the Internet of things server program alarms the farmer in real time through App/short message/voice telephone to remind the farmer to perform field treatment in time.

And continuously inquiring whether the controller uploads data or not by the server program of the Internet of things, and when the last data uploading time exceeds the abnormal operation notification time value set by the farmer, determining that the current equipment is in fault operation, and giving an alarm to the farmer in real time through an App (application protocol, voice telephone) to remind the farmer to perform field processing in time.

Example two

Referring to fig. 6, a schematic structural diagram of an intelligent oxygen increasing and water quality monitoring system 100 for aquaculture industry based on internet of things according to a second embodiment of the present invention includes: dissolved oxygen detection module 10, PH detection module 11 and temperature detection module 12, wherein:

the dissolved oxygen detection module 10 is configured to continuously obtain oxygen content in a target farm according to a first preset time interval to obtain dissolved oxygen detection, and if the dissolved oxygen detection value is smaller than a preset dissolved oxygen value, control an aerator to aerate the target farm until the dissolved oxygen detection value is greater than or equal to the preset dissolved oxygen value, and if the dissolved oxygen detection value is greater than the preset dissolved oxygen value, control the aerator to stop.

The PH detection module 11 is used for continuously obtaining a PH value in the target farm according to a second preset time interval to obtain a PH detection value, and if the PH detection value is not within a preset PH value range, sending a PH non-abnormal prompt to a communication address preset by a user to prompt the farmer to process in time;

and the temperature detection module 12 is configured to continuously obtain a temperature value in the target farm according to a third preset time interval to obtain a temperature detection value, and if the temperature detection value is not within a preset temperature value range, send an abnormal water temperature data value prompt to the communication address to prompt the farmer to process in time.

Preferably, the system 100 for monitoring the intelligent oxygenation and water quality of the aquaculture industry based on the internet of things further comprises:

and the maintenance prompting module 13 is configured to send a system software and hardware fault prompt to the communication address to prompt a user to perform detection and maintenance on software and hardware installed in the target farm if the dissolved oxygen detection value, the PH value, or the temperature value is not obtained within the preset time interval.

The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents and improvements made within the spirit and principle of the present invention are intended to be included within the scope of the present invention.

Claims

1. An intelligent oxygen increasing and water quality monitoring method for aquaculture industry based on the Internet of things is characterized by comprising the following steps:

2. The Internet of things-based aquaculture industry intelligent oxygenation and water quality monitoring method of claim 1, further comprising:

3. The utility model provides an aquaculture intelligence oxygenation, water quality monitoring system based on thing networking, its characterized in that, the system includes:

4. The Internet of things-based aquaculture industry intelligent oxygenation and water quality monitoring system of claim 3, wherein the Internet of things-based aquaculture industry intelligent oxygenation and water quality monitoring system further comprises: