CN113589869A - Intelligent oxygenation and remote monitoring device for aquaculture and control method - Google Patents
Intelligent oxygenation and remote monitoring device for aquaculture and control method Download PDFInfo
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- CN113589869A CN113589869A CN202110762170.3A CN202110762170A CN113589869A CN 113589869 A CN113589869 A CN 113589869A CN 202110762170 A CN202110762170 A CN 202110762170A CN 113589869 A CN113589869 A CN 113589869A
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- 238000009360 aquaculture Methods 0.000 title claims abstract description 41
- 244000144974 aquaculture Species 0.000 title claims abstract description 41
- 238000000034 method Methods 0.000 title claims abstract description 27
- 238000006213 oxygenation reaction Methods 0.000 title claims abstract description 25
- 238000012806 monitoring device Methods 0.000 title claims abstract description 23
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims abstract description 61
- 238000005276 aerator Methods 0.000 claims abstract description 48
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 claims abstract description 43
- 229910052760 oxygen Inorganic materials 0.000 claims abstract description 43
- 239000001301 oxygen Substances 0.000 claims abstract description 43
- 230000005540 biological transmission Effects 0.000 claims abstract description 40
- 238000012544 monitoring process Methods 0.000 claims abstract description 28
- 230000006855 networking Effects 0.000 claims abstract description 17
- 238000005286 illumination Methods 0.000 claims abstract description 14
- 238000010248 power generation Methods 0.000 claims description 8
- 239000000523 sample Substances 0.000 claims description 8
- 241000251468 Actinopterygii Species 0.000 claims description 7
- 238000013178 mathematical model Methods 0.000 claims description 7
- 230000008569 process Effects 0.000 claims description 7
- 238000012790 confirmation Methods 0.000 claims description 4
- 230000000694 effects Effects 0.000 description 14
- 238000005516 engineering process Methods 0.000 description 5
- 238000005259 measurement Methods 0.000 description 3
- 230000008859 change Effects 0.000 description 2
- 238000006243 chemical reaction Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 206010019345 Heat stroke Diseases 0.000 description 1
- 238000005273 aeration Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004140 cleaning Methods 0.000 description 1
- 238000013499 data model Methods 0.000 description 1
- 238000013500 data storage Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
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- 238000004146 energy storage Methods 0.000 description 1
- 239000004744 fabric Substances 0.000 description 1
- 238000007667 floating Methods 0.000 description 1
- 230000001706 oxygenating effect Effects 0.000 description 1
- 230000002265 prevention Effects 0.000 description 1
- 238000011160 research Methods 0.000 description 1
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D27/00—Simultaneous control of variables covered by two or more of main groups G05D1/00 - G05D25/00
- G05D27/02—Simultaneous control of variables covered by two or more of main groups G05D1/00 - G05D25/00 characterised by the use of electric means
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- A—HUMAN NECESSITIES
- A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
- A01K—ANIMAL HUSBANDRY; CARE OF BIRDS, FISHES, INSECTS; FISHING; REARING OR BREEDING ANIMALS, NOT OTHERWISE PROVIDED FOR; NEW BREEDS OF ANIMALS
- A01K63/00—Receptacles for live fish, e.g. aquaria; Terraria
- A01K63/04—Arrangements for treating water specially adapted to receptacles for live fish
- A01K63/042—Introducing gases into the water, e.g. aerators, air pumps
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- A—HUMAN NECESSITIES
- A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
- A01M—CATCHING, TRAPPING OR SCARING OF ANIMALS; APPARATUS FOR THE DESTRUCTION OF NOXIOUS ANIMALS OR NOXIOUS PLANTS
- A01M29/00—Scaring or repelling devices, e.g. bird-scaring apparatus
- A01M29/30—Scaring or repelling devices, e.g. bird-scaring apparatus preventing or obstructing access or passage, e.g. by means of barriers, spikes, cords, obstacles or sprinkled water
Abstract
The invention discloses an aquaculture intelligent oxygenation and remote monitoring device and a control method, wherein the device comprises the following components: the acquisition modules are arranged in each fishpond, and after the lower computer and the Zigbee wireless transmission module are initialized, the Zigbee wireless transmission module completes automatic networking; the water quality sensor collects water quality parameter information and transmits the water quality parameter information to the Zigbee coordinator through each Zigbee terminal node; the upper computer receives the water quality parameter information, compares the dissolved oxygen parameter with a set threshold value, and opens the aerator for oxygen supply through the control module if the dissolved oxygen parameter is lower than the threshold value; the upper computer collects current temperature, illumination and humidity information through the temperature and humidity sensor, judges parameters to obtain the real-time weather of the current moment, and finally executes an intelligent control algorithm of the aerator to automatically control the aerator. The invention provides an aquaculture intelligent oxygenation and remote monitoring scheme, which is high in intelligence degree and can be suitable for various scenes of aquaculture.
Description
Technical Field
The invention relates to the technical field of aquaculture monitoring, in particular to an aquaculture intelligent oxygenation and remote monitoring device and a control method.
Background
Along with the increasing of living standard of people, the demand of people on aquatic products is increased day by day, and as an aquaculture big country in China, due to the limitation of cost and region, the traditional artificial aquaculture is mostly adopted, and the aquaculture is carried out according to the personal experience of farmers, so that a good aquaculture effect cannot be achieved. In order to improve the culture efficiency, the current leading-edge technology needs to be combined, innovation is continuously developed, a perfect aquaculture intelligent oxygenation and remote monitoring device is established, a proper culture environment is provided for cultured objects, and the quality and the yield of the cultured objects are improved.
The existing aquaculture monitoring system mostly adopts the GPRS technology to realize wireless transmission of water quality parameter information, and the GPRS technology has no narrow-band Internet of things technology and has more advantages in the aspects of coverage, connection, power consumption, cost and the like. As a data transmission technology of a new internet of things, the narrowband internet of things has already realized large-scale commerce and becomes a current hot research topic.
Nowadays, a control method of an aerator mainly comprises the steps of controlling a relay to be switched on and off in a manual mode and intelligently controlling the upper limit and the lower limit of a threshold value. The aerator under the artificial mode is controlled mainly by culture experience, the aerator needs to be opened and closed on site, the operation is complicated, the aerator needs to be frequently started and stopped in special weather, actual parameters are not used as the basis, and the optimal control effect cannot be realized. Through the control mode of threshold value bound, also can frequent opening and shutting down the oxygen-increasing machine under some special weather, not only can cause serious harm to the life-span of oxygen-increasing machine, can not reach good control effect moreover.
At present, most of sensor probes of an aquaculture monitoring system are directly exposed in water, plankton and other adherends in the water easily interfere the probes, and measurement accuracy is affected. Therefore, a sensor protection device needs to be designed on the sensor acquisition module to prevent the sensor probe from being interfered, and the protection device can also reduce the times of cleaning the probe. The aquaculture monitoring system realizes the remote monitoring of aquaculture environment parameters, most servers need to be established, and the continuous transmission can increase the power consumption, so most monitoring systems on the market have the problem of higher cost.
Therefore, a method capable of realizing low power consumption and remote transmission is needed to be developed, a user can realize data storage of the server on the premise of not establishing the server, the culture environment can be remotely monitored, the relation between the culture parameters and the culture effect is analyzed through the stored data of the cloud platform, the culture in the next stage is convenient to carry out, and the culture yield and quality are improved. The aquaculture intelligent oxygenation module is mostly controlled by setting threshold value upper and lower limits, and the repeated opening and closing of the aerator can be caused in rainy days and some special weathers due to the fact that the change of the dissolved oxygen concentration in a short time is large, the service life of the aerator is shortened, and a good oxygenation effect cannot be achieved. In the actual culture, the fish culture pond is controlled according to the specific conditions of the fish density, the water quality condition, the growth season, the weather condition, the activity state, the load area of the aerator and the like in the pond, so that the aims of low power consumption, good aeration effect and no fish floating are fulfilled. Conversion circuit and battery power supply are adopted to the power supply of single chip module mostly, and repeated change battery and circuit conversion all can cause continuous cost to drop into, and solar cell panel can reach the effect of once and for all, can provide stable power and energy storage moreover, and waterproof heatstroke prevention is dampproofing, long service life. The design is to solve the problems, and the device for intelligently oxygenating and remotely monitoring aquaculture is designed to meet requirements of fishpond aquaculture, net cage aquaculture, industrial aquaculture and the like.
Disclosure of Invention
The invention aims to solve the technical problem of providing an aquaculture intelligent oxygenation and remote monitoring device and a control method aiming at the defects in the prior art.
The technical scheme adopted by the invention for solving the technical problems is as follows:
the invention provides an aquaculture intelligent oxygenation and remote monitoring device which comprises an acquisition module, a Zigbee wireless transmission module, a user monitoring module, an actuator control module, a narrow-band Internet of things wireless transmission module, a photovoltaic power generation module and a cloud platform, wherein the Zigbee wireless transmission module is used for transmitting oxygen to a remote monitoring system; the Zigbee wireless transmission module comprises a Zigbee terminal node and a Zigbee coordinator; wherein:
the system comprises a plurality of collecting modules, a Zigbee coordinator and a plurality of intelligent monitoring modules, wherein the collecting modules are respectively arranged in each fishpond and comprise a water quality sensor and a lower computer, each collecting module is connected with one Zigbee terminal node, and each Zigbee terminal node is connected with the Zigbee coordinator; after the lower computer and the Zigbee wireless transmission module are initialized, the Zigbee wireless transmission module completes automatic networking; the water quality sensor collects water quality parameter information and processes the water quality parameter information through the lower computer, the lower computer transmits the processed water quality parameter information to the Zigbee terminal nodes, and each Zigbee terminal node transmits the processed water quality parameter information to the Zigbee coordinator;
the user monitoring module comprises an upper computer, and the upper computer is connected with the Zigbee coordinator; the actuator control module is connected with the upper computer, comprises a plurality of control modules arranged in each fishpond and is connected with the aerator through the control modules; the upper computer is also connected with a temperature and humidity irradiation sensor; one end of the narrow-band Internet of things wireless transmission module is connected with the upper computer, and the other end of the narrow-band Internet of things wireless transmission module is connected with the cloud platform; the upper computer receives the sent water quality parameter information in the interruption process after the initialization, compares the dissolved oxygen parameter with a set threshold value, and opens the aerator for oxygen supply through the control module if the dissolved oxygen parameter is lower than the threshold value; the upper computer collects current temperature, illumination and humidity information through a temperature and humidity sensor, judges parameters to obtain the real-time weather of the current moment, and finally executes an intelligent control algorithm of the aerator to enable the device to automatically control the aerator; the photovoltaic power generation module is used for supplying power to each module of the device.
Furthermore, a layer of filter screen is arranged around the sensor of the acquisition module of the invention and used for protecting the probe of the sensor.
Furthermore, the upper computer of the invention is also connected with an LCD screen for displaying the water quality parameter information in real time.
Furthermore, the upper computer sends the water quality parameter information to the cloud platform through the narrow-band Internet of things wireless transmission module, and a user logs in the cloud platform through a mobile phone or a WEB to remotely monitor the aquaculture environment of each pond.
Furthermore, the lower computer and the upper computer of the invention both adopt single-chip microcomputers.
The invention provides a control method of an aquaculture intelligent oxygenation and remote monitoring device, which comprises the following steps:
step 1, initializing an upper computer, a lower computer and a Zigbee wireless transmission module;
step 2, networking is carried out according to the algorithm of the Zigbee ad hoc network;
step 3, the upper computer acquires temperature, humidity and illumination data through a temperature and humidity sensor, judges according to a weather control algorithm to obtain the current real-time weather condition, and stores and displays the obtained weather information on an LCD display screen in real time;
step 4, the upper computer displays the acquired parameters in real time, acquires a time API through the NB-IoT module to obtain current time information, and establishes a mathematical control model by combining upper and lower threshold values, weather, time, dissolved oxygen, water temperature, PH and feeding time parameters;
and 5, the upper computer obtains an actual control result through the established mathematical model, controls the on-off of the relay, controls the execution and adjusts the on-off of the aerator.
Further, the specific method of step 2 of the present invention is:
step 2.1, the terminal nodes and the coordinator adopt a star-shaped mode to carry out networking;
2.2, after networking is successful, determining a coordinator in the network, and scanning channels in the network;
step 2.3, the coordinator allocates short addresses for the terminal nodes;
2.4, the terminal node receives the data transmitted by the lower computer, adds the fishpond number in the received data, sends a correlation request to the coordinator, and performs wireless transmission after the coordinator replies a confirmation frame;
and 2.5, automatically entering a sleep mode by the coordinator and the terminal node when the coordinator and the terminal node do not receive the data.
Further, the specific method of step 3 of the present invention is:
3.1, the upper computer obtains a time API through the NB-IoT module to obtain the current time;
step 3.2, acquiring current real-time temperature, humidity and illumination intensity information through a temperature and humidity sensor;
and 3.3, comparing the current illumination intensity according to time, primarily judging weather, judging the humidity parameter to obtain whether the rainfall is present and the rainfall degree, and finally judging the temperature to obtain the current actual weather value.
Further, the specific method of step 4 of the present invention is:
the water quality parameters of the multiple fish ponds are remotely monitored through the narrowband Internet of things, weather, dissolved oxygen concentration, time, upper and lower threshold parameters are combined, a mathematical control model is established, so that the intelligent control of the aerator is realized, and the cloud platform can also download instructions through an NB-IoT module of the cloud platform to open the aerator;
step 4.1, determining a culture object, determining the optimal dissolved oxygen concentration of the culture object according to different seasons, adjusting upper and lower threshold values through keys, and determining the upper and lower threshold values of a mathematical model;
step 4.2, judging the current dissolved oxygen, immediately starting the aerator if the current dissolved oxygen is lower than the lowest threshold value, and intelligently controlling the aerator if the current dissolved oxygen is not lower than the lowest threshold value;
4.3, judging the current time to obtain the current time interval;
step 4.4, judging the current water temperature, and judging whether the current water temperature is cold or hot to obtain the consumption of the dissolved oxygen;
step 4.5, judging whether the current time is in a feeding time period or not and whether the lower limit of the threshold value is increased or not;
and 4.6, judging whether the current weather needs to be started or not.
Further, the specific method of step 5 of the present invention is:
5.1, the upper computer obtains an actual control result and controls the on-off of the relay;
and 5.2, indirectly controlling the contactor by the relay to control the opening and closing of the aerator.
The invention has the following beneficial effects: the invention relates to an aquaculture intelligent oxygenation and remote monitoring device and a control method, comprising the following steps:
the monitoring device can realize automatic protection of the sensor probe by adding a layer of filter screen around the sensor, prevent plankton and other adherends from influencing the measurement precision of the sensor, and the sensor module can reserve redundant probe holes so as to be convenient for expanding and monitoring other water quality parameter information. The filter screen can reduce and wash the number of times to the sensor, improves sensor measurement accuracy.
Networking of the multi-fishpond terminal nodes is achieved through Zigbee networking, and water quality parameter information of each node is sent to the coordinator in a unified mode. The coordinator displays the data in real time through the single chip microcomputer, and the culture environment of each pond can be monitored in real time on site. The system sends data to the Ali cloud server through the narrow-band Internet of things, and a user can log in the Ali cloud platform through a mobile phone and a WEB to remotely monitor aquaculture environments of various ponds. The narrowband Internet of things can realize low-power transmission, one battery can be used for 10 years, and when the module does not work, the module automatically enters a dormant state. The raiser does not need to buy a server, the water quality parameter information can be stored and collected by directly using the server of the Aliyun, the relation between the culture effect and the parameters is convenient to analyze, and the raiser can meet the monitoring requirement only by paying annual flow packages.
The singlechip can intelligently control the aerator through the acquired time, the concentration of dissolved oxygen, the water temperature and the upper and lower limits of a threshold value, the weather conditions obtained by judgment and the established data model. Under the different weather conditions, can carry out general control to the oxygen-increasing machine earlier, can combine real-time dissolved oxygen concentration, threshold value bound, temperature, time isoparametric to adjust the control state of oxygen-increasing machine simultaneously again, the mathematical control model also can carry out the analysis contrast through the control effect, and is continuous perfect, reaches better control effect.
And fourthly, after the whole system is connected to the cloud platform, the cloud platform can issue an instruction and transmit the instruction to the single chip microcomputer through the narrow-band internet of things to control the opening and closing of the actuator module, so that the remote monitoring of the system is realized.
The photovoltaic power generation can achieve the effect of once and for all, the dust on the photovoltaic component is wiped by soft cloth every month, the generated energy of the power station can not be reduced, and the monitoring equipment can be basically powered off forever.
The system combines the sensor acquisition and actuator control module, the Zigbee wireless transmission module, the user monitoring module and the narrow-band Internet of things wireless transmission module, integrates all functions on a single chip microcomputer, is convenient for debugging the whole system, and is convenient to maintain and solve the problems of the modules during operation in the later period.
Drawings
The invention will be further described with reference to the accompanying drawings and examples, in which:
FIG. 1 is a system architecture of an intelligent oxygenation and remote monitoring device for aquaculture according to an embodiment of the present invention;
FIG. 2 is a diagram showing the relationship between the control scheme of the aerator and the weather according to the embodiment of the invention;
FIG. 3 is a flow chart of the operation of the apparatus of an embodiment of the present invention;
FIG. 4 is a flow chart of the intelligent control of the aerator according to the embodiment of the present invention;
fig. 5 is a flowchart of Zigbee networking according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
As shown in FIG. 1, the aquaculture intelligent oxygenation and remote monitoring device provided by the embodiment of the invention. The device can collect the water quality parameter information of each node, and the singlechip is used for converting the water quality parameters, the digital quantity information of each node is transmitted to the coordinator through the Zigbee wireless module, the coordinator transmits data to the user monitoring end through the serial port for real-time display, and finally the water quality parameters of each node are transmitted to the cloud platform through the narrow-band Internet of things, so that the remote real-time monitoring of the mobile phone end and the WEB is realized. The user monitoring end can send control command to the control end, and the switching of control executor, and then the switching of control oxygen-increasing machine and feeder. The control end can also specifically realize the intelligent control of the aerator and the control of the feeder by combining the density, the water quality condition, the growth season, the weather condition, the activity state, the load area of the aerator and the like of the fishes in the pond through the established mathematical model. Each node is powered by photovoltaic power generation, and the whole system can realize remote monitoring of a plurality of fishponds and real-time monitoring of a cloud platform. The method specifically comprises the following steps: the system comprises an acquisition module, a Zigbee wireless transmission module, a user monitoring module, an actuator control module, a narrow-band Internet of things wireless transmission module and a photovoltaic power generation module; the Zigbee wireless transmission module comprises a Zigbee terminal node and a Zigbee coordinator; wherein:
the system comprises a plurality of collecting modules, a Zigbee coordinator and a plurality of intelligent monitoring modules, wherein the collecting modules are respectively arranged in each fishpond and comprise a water quality sensor and a lower computer, each collecting module is connected with one Zigbee terminal node, and each Zigbee terminal node is connected with the Zigbee coordinator; after the lower computer and the Zigbee wireless transmission module are initialized, the Zigbee wireless transmission module completes automatic networking; the water quality sensor collects water quality parameter information and processes the water quality parameter information through the lower computer, the lower computer transmits the processed water quality parameter information to the Zigbee terminal nodes, and each Zigbee terminal node transmits the processed water quality parameter information to the Zigbee coordinator;
the user monitoring module comprises an upper computer, and the upper computer is connected with the Zigbee coordinator; the actuator control module is connected with the upper computer, comprises a plurality of control modules arranged in each fishpond and is connected with the aerator through the control modules; the upper computer is also connected with a temperature and humidity irradiation sensor; one end of the narrow-band Internet of things wireless transmission module is connected with the upper computer, and the other end of the narrow-band Internet of things wireless transmission module is connected with the cloud platform; the upper computer receives the sent water quality parameter information in the interruption process after the initialization, compares the dissolved oxygen parameter with a set threshold value, and opens the aerator for oxygen supply through the control module if the dissolved oxygen parameter is lower than the threshold value; the upper computer collects current temperature, illumination and humidity information through a temperature and humidity sensor, judges parameters to obtain the real-time weather of the current moment, and finally executes an intelligent control algorithm of the aerator to enable the device to automatically control the aerator; the photovoltaic power generation module is used for supplying power to each module of the device.
The overall working flow of the device of the invention is shown in fig. 3, and after the lower computer is initialized and the Zigbee module is initialized, the Zigbee module completes automatic networking. The water quality parameter information is uploaded to a lower computer through a water quality sensor to be processed, the lower computer transmits the processed water quality parameter information to Zigbee terminal nodes, and each terminal node transmits the processed water quality information to a Zigbee coordinator through a wireless module. The water quality parameter information sent by the serial port is received in the interruption after the upper computer is initialized, the water quality parameter information of each node is displayed on an LCD screen in real time, the single chip microcomputer is connected with the cloud platform in an MQTT mode, the water quality parameter information is sent to the Ali cloud platform, and the current time information is obtained through the Ali cloud. The single chip compares the acquired dissolved oxygen parameters with a set threshold value, and immediately turns on the aerator to supply oxygen if the parameters are lower than the set threshold value. The singlechip acquires current temperature, illumination and humidity information through the temperature and humidity sensor, judges parameters to obtain the real-time weather of the current moment, and finally executes an intelligent control algorithm of the aerator to ensure that the system automatically controls the aerator to achieve a good control effect. The raiser can control the oxygen-increasing machine and the feeding machine to start and stop through the singlechip, can control the opening and closing of the electrical control cabinet through the pin of the singlechip, realizes the control of the oxygen-increasing machine and the feeding machine, and the raiser can also issue an instruction through the cloud platform, transmits to the singlechip through the narrow-band Internet of things, and controls the opening and closing of the actuator module.
The intelligent oxygen increasing control is as shown in fig. 4, the obtained weather information is judged by a control algorithm, then the current time interval and water temperature condition are judged, finally the feeding condition related to oxygen increasing and the set threshold value and cultivation density are judged, the dissolved oxygen concentration in an ideal state is estimated, the oxygen increasing machine is controlled, and a proper living environment is provided for the cultivation object.
Fig. 5 shows a flowchart of a Zigbee ad hoc network, and constructing a complete Zigbee mesh network includes network initialization and node joining. The network initialization is that firstly, a coordinator in a network is determined, then channel scanning is carried out, finally, short addresses are distributed to all equipment, then all nodes carry out network coordinator searching, the nodes send association request commands, wait for the coordinator to process, send data request commands, reply confirmation frames to announce the association success, the ad hoc network is completed in the step, and then wireless transmission can be carried out.
The control method of the aquaculture intelligent oxygenation and remote monitoring device provided by the embodiment of the invention comprises the following steps:
step 1, initializing an upper computer, a lower computer and a Zigbee wireless transmission module;
step 2, networking is carried out according to the algorithm of the Zigbee ad hoc network;
step 2.1, the terminal nodes and the coordinator adopt a star-shaped mode to carry out networking;
2.2, after networking is successful, determining a coordinator in the network, and scanning channels in the network;
step 2.3, the coordinator allocates short addresses for the terminal nodes;
2.4, the terminal node receives the data transmitted by the lower computer, adds the fishpond number in the received data, sends a correlation request to the coordinator, and performs wireless transmission after the coordinator replies a confirmation frame;
and 2.5, automatically entering a sleep mode by the coordinator and the terminal node when the coordinator and the terminal node do not receive the data.
Step 3, the upper computer acquires temperature, humidity and illumination data through a temperature and humidity sensor, judges according to a weather control algorithm to obtain the current real-time weather condition, and stores and displays the obtained weather information on an LCD display screen in real time;
3.1, the upper computer obtains a time API through the NB-IoT module to obtain the current time;
step 3.2, acquiring current real-time temperature, humidity and illumination intensity information through a temperature and humidity sensor;
and 3.3, comparing the current illumination intensity according to time, primarily judging weather, judging the humidity parameter to obtain whether the rainfall is present and the rainfall degree, and finally judging the temperature to obtain the current actual weather value.
Step 4, the upper computer displays the acquired parameters in real time, acquires a time API through the NB-IoT module to obtain current time information, and establishes a mathematical control model by combining upper and lower threshold values, weather, time, dissolved oxygen, water temperature, PH and feeding time parameters;
the water quality parameters of the multiple fish ponds are remotely monitored through the narrowband Internet of things, weather, dissolved oxygen concentration, time, upper and lower threshold parameters are combined, a mathematical control model is established, so that the intelligent control of the aerator is realized, and the cloud platform can also download instructions through an NB-IoT module of the cloud platform to open the aerator;
step 4.1, determining a culture object, determining the optimal dissolved oxygen concentration of the culture object according to different seasons, adjusting upper and lower threshold values through keys, and determining the upper and lower threshold values of a mathematical model;
step 4.2, judging the current dissolved oxygen, immediately starting the aerator if the current dissolved oxygen is lower than the lowest threshold value, and intelligently controlling the aerator if the current dissolved oxygen is not lower than the lowest threshold value;
4.3, judging the current time to obtain the current time interval;
step 4.4, judging the current water temperature, and judging whether the current water temperature is cold or hot to obtain the consumption of the dissolved oxygen;
step 4.5, judging whether the current time is in a feeding time period or not and whether the lower limit of the threshold value is increased or not;
and 4.6, judging whether the current weather needs to be started or not.
And 5, the upper computer obtains an actual control result through the established mathematical model, controls the on-off of the relay, controls the execution and adjusts the on-off of the aerator.
5.1, the upper computer obtains an actual control result and controls the on-off of the relay;
and 5.2, indirectly controlling the contactor by the relay to control the opening and closing of the aerator.
It will be understood that modifications and variations can be made by persons skilled in the art in light of the above teachings and all such modifications and variations are intended to be included within the scope of the invention as defined in the appended claims.
Claims (10)
1. An aquaculture intelligent oxygenation and remote monitoring device is characterized by comprising an acquisition module, a Zigbee wireless transmission module, a user monitoring module, an actuator control module, a narrow-band Internet of things wireless transmission module, a photovoltaic power generation module and a cloud platform; the Zigbee wireless transmission module comprises a Zigbee terminal node and a Zigbee coordinator; wherein:
the system comprises a plurality of collecting modules, a Zigbee coordinator and a plurality of intelligent monitoring modules, wherein the collecting modules are respectively arranged in each fishpond and comprise a water quality sensor and a lower computer, each collecting module is connected with one Zigbee terminal node, and each Zigbee terminal node is connected with the Zigbee coordinator; after the lower computer and the Zigbee wireless transmission module are initialized, the Zigbee wireless transmission module completes automatic networking; the water quality sensor collects water quality parameter information and processes the water quality parameter information through the lower computer, the lower computer transmits the processed water quality parameter information to the Zigbee terminal nodes, and each Zigbee terminal node transmits the processed water quality parameter information to the Zigbee coordinator;
the user monitoring module comprises an upper computer, and the upper computer is connected with the Zigbee coordinator; the actuator control module is connected with the upper computer, comprises a plurality of control modules arranged in each fishpond and is connected with the aerator through the control modules; the upper computer is also connected with a temperature and humidity irradiation sensor; one end of the narrow-band Internet of things wireless transmission module is connected with the upper computer, and the other end of the narrow-band Internet of things wireless transmission module is connected with the cloud platform; the upper computer receives the sent water quality parameter information in the interruption process after the initialization, compares the dissolved oxygen parameter with a set threshold value, and opens the aerator for oxygen supply through the control module if the dissolved oxygen parameter is lower than the threshold value; the upper computer collects current temperature, illumination and humidity information through a temperature and humidity sensor, judges parameters to obtain the real-time weather of the current moment, and finally executes an intelligent control algorithm of the aerator to enable the device to automatically control the aerator; the photovoltaic power generation module is used for supplying power to each module of the device.
2. The aquaculture intelligent oxygenation and remote monitoring device of claim 1, wherein a layer of filter screen is arranged around the sensor of the acquisition module for protecting the sensor probe.
3. The aquaculture intelligent oxygenation and remote monitoring device of claim 1, wherein the upper computer is further connected with an LCD screen for displaying water quality parameter information in real time.
4. The aquaculture intelligent oxygenation and remote monitoring device according to claim 1, wherein the upper computer sends water quality parameter information to the cloud platform through the narrow-band internet of things wireless transmission module, and a user logs in the cloud platform through a mobile phone or a WEB to remotely monitor aquaculture environment of each pond.
5. The aquaculture intelligent oxygenation and remote monitoring device of claim 1, wherein the lower computer and the upper computer both adopt single-chip microcomputers.
6. A control method of an aquaculture intelligent oxygenation and remote monitoring device is characterized by comprising the following steps:
step 1, initializing an upper computer, a lower computer and a Zigbee wireless transmission module;
step 2, networking is carried out according to the algorithm of the Zigbee ad hoc network;
step 3, the upper computer acquires temperature, humidity and illumination data through a temperature and humidity sensor, judges according to a weather control algorithm to obtain the current real-time weather condition, and stores and displays the obtained weather information on an LCD display screen in real time;
step 4, the upper computer displays the acquired parameters in real time, acquires a time API through the NB-IoT module to obtain current time information, and establishes a mathematical control model by combining upper and lower threshold values, weather, time, dissolved oxygen, water temperature, PH and feeding time parameters;
and 5, the upper computer obtains an actual control result through the established mathematical model, controls the on-off of the relay, controls the execution and adjusts the on-off of the aerator.
7. The aquaculture intelligent oxygenation and remote monitoring device according to claim 6, wherein the specific method of the step 2 is as follows:
step 2.1, the terminal nodes and the coordinator adopt a star-shaped mode to carry out networking;
2.2, after networking is successful, determining a coordinator in the network, and scanning channels in the network;
step 2.3, the coordinator allocates short addresses for the terminal nodes;
2.4, the terminal node receives the data transmitted by the lower computer, adds the fishpond number in the received data, sends a correlation request to the coordinator, and performs wireless transmission after the coordinator replies a confirmation frame;
and 2.5, automatically entering a sleep mode by the coordinator and the terminal node when the coordinator and the terminal node do not receive the data.
8. The aquaculture intelligent oxygenation and remote monitoring device according to claim 6, wherein the specific method of the step 3 is as follows:
3.1, the upper computer obtains a time API through the NB-IoT module to obtain the current time;
step 3.2, acquiring current real-time temperature, humidity and illumination intensity information through a temperature and humidity sensor;
and 3.3, comparing the current illumination intensity according to time, primarily judging weather, judging the humidity parameter to obtain whether the rainfall is present and the rainfall degree, and finally judging the temperature to obtain the current actual weather value.
9. The aquaculture intelligent oxygenation and remote monitoring device according to claim 6, wherein the specific method of the step 4 is as follows:
the water quality parameters of the multiple fish ponds are remotely monitored through the narrowband Internet of things, weather, dissolved oxygen concentration, time, upper and lower threshold parameters are combined, a mathematical control model is established, so that the intelligent control of the aerator is realized, and the cloud platform can also download instructions through an NB-IoT module of the cloud platform to open the aerator;
step 4.1, determining a culture object, determining the optimal dissolved oxygen concentration of the culture object according to different seasons, adjusting upper and lower threshold values through keys, and determining the upper and lower threshold values of a mathematical model;
step 4.2, judging the current dissolved oxygen, immediately starting the aerator if the current dissolved oxygen is lower than the lowest threshold value, and intelligently controlling the aerator if the current dissolved oxygen is not lower than the lowest threshold value;
4.3, judging the current time to obtain the current time interval;
step 4.4, judging the current water temperature, and judging whether the current water temperature is cold or hot to obtain the consumption of the dissolved oxygen;
step 4.5, judging whether the current time is in a feeding time period or not and whether the lower limit of the threshold value is increased or not;
and 4.6, judging whether the current weather needs to be started or not.
10. The aquaculture intelligent oxygenation and remote monitoring device according to claim 6, wherein the specific method of the step 5 is as follows:
5.1, the upper computer obtains an actual control result and controls the on-off of the relay;
and 5.2, indirectly controlling the contactor by the relay to control the opening and closing of the aerator.
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