CN211824521U - Intelligent breeding system based on cloud platform and meteorological prediction - Google Patents
Intelligent breeding system based on cloud platform and meteorological prediction Download PDFInfo
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Abstract
The utility model provides a wisdom farming systems based on cloud platform and meteorological prediction, includes environmental detection module, control module, wireless transmission module, has the cloud platform of prediction function. The system can detect the fishpond index through various sensors and transmit the fishpond index to the cloud platform. According to different fish culture environment indexes, current water quality environment detection data of the fishpond are acquired in real time on a cloud platform, the distribution place of the fishpond and the future weather index prediction situation of the location of the fishpond transmitted by a GPS positioning module are optimized and calculated to give the optimal set values of temperature control, pH value control, water level control, dissolved oxygen control and an illumination loop of the fishpond in a future period, and remote monitoring and automatic control of the fishpond are realized by adjusting a heating rod, feeding, a water inlet and outlet pump, an aerator, illumination equipment and the like. The utility model discloses an utilize meteorological prediction and cloud platform technique, can promote fishery's automation and intellectuality of breeding greatly, realize the wisdom management in pond according to the best environmental index of fish culture.
Description
Technical Field
The patent of the utility model relates to a breed technical field, big data analysis field, weather forecast field, communication field, control field, concretely relates to wisdom farming systems based on cloud platform and weather prediction.
Background
In countries with developed aquaculture industry such as danish and japan, on-line detection of a plurality of water quality parameters having important significance on temperature, pH value, ammonia nitrogen, COD, BOD and the like in aquaculture water is realized, and intelligent devices distributed on a target site are connected with a control center through a communication network on the basis of a computer technology, a control technology and a communication technology, so that an advanced control mode for decentralized control and centralized management of the field devices is realized.
On the whole, aquaculture in western economically developed countries has basically achieved mechanization of aquaculture, improved variety of aquaculture species, automation of aquaculture management, specialization of aquaculture technology, and marketing informatization of aquaculture products. This marks the state that the level of modernization of aquaculture production and equipment is quite high, and without speeding up the pace of modernization of aquaculture technology, it may lag behind the progress of the world's aquaculture technology.
The automation popularization condition of aquaculture in China is not ideal, the basic culture conditions are laggard, most of the aquaculture nationwide adopts simple equipment such as an aerator and a bait casting machine, the water quality monitoring, the circulating culture and the like are less in application, and the automation degree is low.
At present, automatic equipment is needed to be adopted for indoor industrial aquaculture, and the automatic aquaculture degree of outdoor large-water-surface farms is also needed to be improved. The realization of the mechanized automation of fish culture is an urgent need of the prior aquatic product production in China.
Disclosure of Invention
Based on the existing technical defects, a smart culture system based on a cloud platform and meteorological prediction is designed. The system comprises an environment detection module, a control module, a wireless transmission module and a cloud platform. The system can detect parameters such as PH value, temperature, humidity, dissolved oxygen amount and water level through various sensors, and transmit data to the cloud platform through the GPRS module. According to different fish culture environment indexes, the system acquires current water quality environment detection data (pH value, temperature, humidity, dissolved oxygen amount and water level) of the fish pond in real time on a cloud platform, the distribution place of the fish pond transmitted by a GPS positioning module and the future weather index prediction conditions (weather conditions, wind speed grade, air pressure, humidity, precipitation amount, rainfall probability and the like) of the place where the fish pond is located are optimized and calculated to give the optimal set values of temperature control, pH value control, water level control, dissolved oxygen amount control and an illumination loop of the fish pond, and the remote monitoring and automatic control of the fish pond are realized by adjusting a heating rod, feeding materials, a water inlet and outlet pump, an aerator, illumination equipment and the like. The utility model discloses an utilize meteorological prediction and cloud platform technique, can promote fishery's automation and intellectuality of breeding greatly, realize pond wisdom ization management according to the best environmental index of fish culture.
The utility model discloses the system includes environmental detection module, control module, wireless transmission module, cloud platform.
The environment detection module comprises a dissolved oxygen sensor, a temperature and humidity sensor, a light intensity sensor, a pH value sensor, a water level measurement sensor and a camera, can measure the water level, the pH value, the oxygen content, the ambient environment humidity, the temperature and the light intensity of the fishpond, and transmits a real-time picture of the fishpond.
The control module comprises a relay set, a monitoring display screen, a manual control button and an environment control device. The environment control apparatus includes: heating rod, fodder control valve, oxygen-increasing machine, water pump, illumination equipment. The heating rod, the feed control valve, the aerator, the water pump and the illumination equipment are connected with the relay set.
The wireless transmission module comprises a GPRS module and a GPS positioning module.
The cloud platform can automatically acquire various parameters acquired by the environment detection module, the distribution location of the fishpond and the future weather index prediction situation of the location of the fishpond, and optimally calculate to obtain the optimal set values of the fishpond temperature control, the pH value control, the water level control, the dissolved oxygen control and the illumination loop.
The cloud platform can control the control module to be opened or closed through the wireless transmission module according to the calculated optimal set value, and automation and intellectualization of fish pond culture are achieved.
The example of the utility model is a wisdom farming systems based on cloud platform and meteorological prediction. The technical effects are as follows:
the environment detection module adopts various sensors, can accurately measure parameters of the water body of the fish pond and environment parameters, shoots real-time images of the fish pond and uploads the images to the cloud platform; the device can realize comprehensive and effective monitoring and control on the fishpond by adjusting parameters according to the types of different fishes and the types of the fishpond; the user logs in by using mobile equipment such as a mobile phone, a computer, a tablet and the like at any time and any place, so that the condition of the fishpond can be monitored in real time.
The control equipment comprises a plurality of controllers, can control the fishpond according to the cloud platform optimization calculation result or the parameter set by the user independently, and has the priority higher than that of the system calculation result. The device can ensure that the water body is in a range required by a user and ensure the healthy growth of fishes in the fishpond.
The cloud platform can automatically acquire the place where the user fish pond is located and the weather condition of the place, take future weather prediction conditions as the interference amount of the fish pond environment system, bring the interference amount into a self-made algorithm, calculate various fish pond optimal parameters, and transmit the calculation result to a target user and automatically control the environment control equipment in the fish pond.
The system is suitable for various large-scale culture fishponds, compound culture fishponds or a large number of culture bases, and can be suitable for medium and small-scale fishponds through parameter adjustment.
Target users of the system comprise fishpond management personnel, fishpond security personnel, culture operation workers and other personnel related to fishpond culture management. Different users can be provided with the fishpond real-time information which is needed most by the users. One target customer can add and manage a plurality of fishponds simultaneously.
Drawings
The novel system is further described below using the figures and examples.
Fig. 1 illustrates a smart farming system architecture based on a cloud platform and weather prediction according to an embodiment of the present invention.
In the drawings, the components indicated by the respective reference numerals are as follows.
1. Main controller 2, data processing module
3. Execution unit 4.GPRS
5. Fishpond culture pond 6. cloud platform
10. Water level detection sensor 11, temperature and humidity sensor
14. Light intensity sensor 15 heating rod
16. Feed control valve 17 aerator
18. Water pump 19. light equipment
20. Camera module 21.GPS locator
Fig. 2 shows a specific structure of the environment control module. Figure 3 illustrates the working conditions of the aerator. Figure 4 illustrates the relationship between the pH of the fishpond environment and the actuator.
Detailed Description
The example technology of the present invention will be described below with reference to the accompanying drawings of the examples of the present invention.
The environment detection module shown in the figure I comprises a data processing module 2, a dissolved oxygen sensor 13, a temperature and humidity sensor 11, a light intensity sensor 14, a pH value sensor 12, a water level measurement sensor 10 and a camera module 20. The data processing module 2 amplifies, converts and filters the data received by the sensor into digital quantity; the camera module 20 can transmit real-time pictures of the fish pond to the cloud platform 6.
The control module shown in the figure I comprises an execution unit 3, a monitoring display screen, a manual control button and an environment control device. The relay group is connected with environment control equipment (a heating rod 15, a feed control valve 16, an aerator 17, a water pump 18 and illumination equipment 19) to provide power for the environment control equipment, so that the equipment works normally.
The wireless transmission module shown in the figure I comprises a GPRS module 4 and a GPS positioning module 21. And the GPRS module 4 is used for uploading the processed data to a cloud platform, and forwarding the IP packet sent from the singlechip or the packet data sent from the base station after corresponding processing. The GPS positioning module 21 is used to send the geographical position of the fish pond to the satellite.
The cloud platform 6 shown in fig. one can perform data acquisition, storage, optimization, and transmission. The location of the intelligent device is automatically acquired through the GPS positioner 21, and the intelligent devices distributed in different locations are connected together, so that the distributed control and centralized management of the intelligent devices are realized.
The cloud platform 6 shown in fig. one may send the received data, the calculated optimal control value to the user.
The cloud platform 6 shown in the first figure acquires future weather index predictions through satellites. When the abnormal conditions of extreme weather, exceeding the control range of the control module and mass fish death occur, a warning is given to the user.
The cloud platform calculates according to environment detection data (pH value, temperature, humidity, dissolved oxygen, water level) and the prediction condition of the future weather indexes (weather condition, wind speed grade, air pressure, humidity, precipitation, rainfall probability and the like) of the location, and the calculation formula is as follows:
oxygen regulation: and acquiring the current oxygen capacity in the fishpond through the environment detection module and the wireless module, and comparing the current oxygen capacity with the calculated optimal value. The oxygen in the fishpond needs to meet the following requirements: the dissolved oxygen of the water body which is required to be not less than 16 hours per day is more than 5mg/L, and the rest time is not less than 3mg/L, namely:
O2(t)＞＝5(mg/L)*[u(t-6)-u(t-22)]
O2(t)＞＝3(mg/L)*{[u(t)-u(t-24)]-[u(t-6)-u(t-22)]}
wherein: o is2For the current oxygen capacity, t is the time of day (hours), u (t) is a step function;
when the above conditions are not met, the aerator is turned on.
And when the weather forecast detects overcast and rainy days or sudden change of the weather (the weather changes from sunny to overcast and rainy days or from overcast and rainy to sunny), the aerator is started. The specific boot time is as follows:
in sunny days: 2-3 am in the afternoon
In cloudy days: 6-7 am in the morning
Continuous rainy days: starting up at 11-day night and 3 am
And (3) in a dry season in summer: noon 12-afternoon 5 o' clock (the start-up duration can be prolonged properly)
Atmospheric pressure below 1000 kpa: starting up at 6-9 am and at 11-2 pm
Humidity greater than 80%: starting up at 6-10 am (the starting up time can be properly prolonged)
And when the dissolved oxygen of the fishpond is lower than 2mg/L, sending alarm information to a user.
And (3) pH adjustment: and acquiring the current pH value in the fish pond through an environment detection module and a wireless module, and comparing the current pH value with the calculated optimal value.
The pH in the pond needs to meet: the pH value is 7.5-8.5; during the cultivation production period, 15-20 kg of quicklime is applied to each mu every 10-15 days, so that the water quality of the pond can be kept in alkalescence, and organic matters are driven to precipitate.
When the pH is less than 7, proper amount of hydrated lime or crushed limestone can be applied according to the situation, the dosage of quicklime is as follows:
Wherein J is the mass of quicklime required by each mu of fishpond, A is the length of the fishpond, and B is the width of the fishpond;
when the pH value is more than 8.5, a proper amount of gypsum, nontoxic weak acid (such as acetic acid) and the like can be applied, and the cultivation of proper and abundant algae also has a certain effect.
The pH value is more than 9, and a water pump is opened for water injection.
After overcast and rainy days: the fish pond has a high pH value, and can be fed with a proper amount of gypsum, nontoxic weak acid (such as acetic acid) and the like.
In summer, when meeting continuous sunny days: and in the evening, the nano oxygen is matched with the zeolite powder for sprinkling.
And when the pH is lower than 5.5 or higher than 10, sending a warning message to a user.
Water temperature adjustment: and acquiring the current temperature in the fishpond through the environment detection module and the wireless module, and comparing the current temperature with the calculated optimal value.
Different fishes have different adaptive water temperatures, and the optimal living water temperature of common fishes is listed as follows.
Grass carp: 20-32 ℃, and when T (T is the current water temperature measured by the temperature sensor) is less than 20, the heating rod is started; when the temperature is lower than 15 ℃, sending alarm information to a user; and when the temperature is higher than 37 ℃, sending alarm information to a user.
Crucian carp: at 25-30 ℃, and when T is less than 25, opening the heating rod; when the temperature is lower than 20 ℃, sending alarm information to a user; and when the temperature is higher than 35 ℃, sending alarm information to a user.
Carp: at 25-32 ℃, and when T is less than 25, opening the heating rod; when the temperature is lower than 20 ℃, sending alarm information to a user; and when the temperature is higher than 37 ℃, sending alarm information to a user.
Silver carp: at 23-32 ℃, and when T is less than 23, opening the heating rod; when the temperature is lower than 18 ℃, sending alarm information to a user; and when the temperature is higher than 37 ℃, sending alarm information to a user.
The different requirements of the special seasons are as follows:
in winter: the heating rod was turned on at least 14 hours a day.
Spring and autumn: and when the highest temperature of the day is lower than the optimum temperature of the fishes, the heating rod is opened to maintain the water temperature of the fishpond at the optimum temperature.
Summer: and if the weather is cloudy and the highest temperature is lower than the optimum water temperature of the fishpond, the heating rod is turned on.
When the temperature is higher than 37 ℃ for seven consecutive days, sending alarm information to a user;
when the temperature is lower than 0 ℃ for seven consecutive days, sending alarm information to a user;
water level adjustment: and acquiring the current water level in the fishpond through the environment detection module and the wireless module, and comparing the current water level with the calculated optimal value.
The water level shows the trend of changing from shallow winter to deep summer. The water depth varies from pond to pond as shown in the following table:
| corner pool type | Area (mu) | Deep water (rice) | Aspect ratio | Remarks for note |
| Corner seedling pond | 1.5～2.0 | 1.5～2.0 | 2～3∶1 | Can be used as fish seed pond |
| Fish seed pond | 2.0～5.0 | 2.0～2.5 | 2～3∶1 | |
| Adult fish pond | 7.0～15.0 | 2.5～3.0 | 2～4∶1 | Can reserve wide ridge |
| Corner-loving pond | 3.0～4.0 | 2.3～3.0 | 2～3∶1 | Should be close to the spawning pond |
| Overwintering pond | 5.0～10.0 | About | 2～3∶1 | Near water source |
The water level in a common type of fishpond is adjusted as follows:
fry pond: when W is less than 1.5m, a water inlet pump is started; when W is more than 2.0m, the water pump is started.
A fish seed pond: when W is less than 2.0m, a water inlet pump is started; when W is more than 2.5m, the water pump is started.
Parent fish pond: when W is less than 2.3m, a water inlet pump is started; when W is more than 3.0m, the water pump is started.
Forming a fish pond: when W is less than 2.5m, a water inlet pump is started; when W is more than 3.0m, the water pump is started.
And (3) overwintering pond: about 3 m.
Water level control requirements for special weather:
the rainfall in rainy days is 25mm-38 mm: 1 hour in advance of the water pump
The precipitation is between 38mm and 74.9 mm: 2 hours ahead of time, turn on the water pump
Drought in summer: prolonging the time of turning on the water inlet pump
Clear: the time for opening the water inlet pump needs to be prolonged when the sunny weather exceeds 7 days
And when it is forecasted that heavy rain, heavy rain or extra heavy rain exists within three days, alarm information is sent to the user.
And (3) illumination adjustment: and acquiring the current illumination intensity in the fishpond through the environment detection module and the wireless module, and comparing the current illumination intensity with the calculated optimal value.
The suitable illumination of different fishes is different, such as juvenile Pagrus major at 10^1001x and juvenile Pagrus major at 1 to 1001 x.
If the illumination value of one day does not reach the proper illumination within 12 hours, the illumination device is turned on.
In the rainy season, the light condition is insufficient, so that the growth of algae in the pond is relatively slow, the food intake of aquatic animals and the excrement of the aquatic animals is gradually increased, the water quality is gradually deteriorated, and even an anoxic state occurs, so that a light source needs to be supplemented in the rainy season. The formula for the lighting device given an additional light source is as follows:
Light(t)＝(light0-light1)*K*{u(t-t1)-u(t-t4)-[u(t-t2)-u(t-t3)]}
wherein, K-1 represents rainy weather, and K-0 represents sunny weather; t1 to t2, t3 to t4 are the optimum illumination time for the fish in one day; light0 is the optimum living Light intensity for different fish species, Light1 is the measured value of the Light sensor, Light is the current additionally required illumination intensity for the fish pond, and W is the measured value of the water level sensor.
Illumination control requirements for special weather:
cloud: turning on the illumination equipment to adjust to the optimum illumination intensity of the fish.
In winter: turning on the lighting equipment at 6-7 am and 5-8 pm
Spring and autumn: turning on the lighting device at 6 am and 8 pm
The user can also directly realize the automatic control of the fishpond environment according to the optimal environment parameters calculated by the formula. Meanwhile, if a user adjusts the optimized calculation value of the platform, the user can send an instruction to the cloud platform, send the instruction to the MCU through the wireless transmission module, and control the environment control module to control the environmental parameters of the fishpond so as to enable the fishpond to reach the state required by the user.
By collecting the fishpond water quality parameter information and the fishpond surrounding environment real-time parameters and forwarding the fishpond surrounding environment real-time parameters to the mobile equipment of a remote user through the cloud, the user can monitor the fishpond in real time through the Internet at any time and any place, and meanwhile, the user can also remotely send a mechanical operation instruction to control the water body environment adjusting equipment to adjust the water body environment; or the water body environment is automatically adjusted by using a calculation formula provided by the system, and a user can control the system through human-computer interaction equipment on site.
To the abnormal conditions, the utility model discloses a system still has warning SMS send function, can in time inform the user to handle, avoids the abnormal conditions to influence normal breed activity.
The utility model has the characteristics of the function is comprehensive, degree of automation is high, easily operation etc, can effectively reduce user's work load, improve breed activity management precision, reduce and breed the risk.
The above-mentioned embodiments are merely preferred technical solutions of the present invention, and should not be regarded as limitations of the present invention, and the protection scope of the present invention should be defined by the technical solutions described in the claims, and equivalent alternatives including technical features in the technical solutions described in the claims. Namely, equivalent alterations and modifications within the scope of the invention are also within the scope of the invention.
Claims (4)
1. A smart culture system based on a cloud platform and meteorological prediction is characterized by comprising an environment detection module, a control module, a wireless transmission module and a cloud platform, wherein the environment detection module is connected with the cloud platform through the wireless transmission module;
the environment detection module comprises a dissolved oxygen sensor, a temperature and humidity sensor, a light intensity sensor, a pH value sensor and a water level measurement sensor and is used for measuring the water level, the pH value, the oxygen content, the ambient environment humidity of the fish pond, the temperature and the light intensity of the fish pond;
the control module comprises a relay set, a monitoring display screen, a manual control button and an environment control device; the environment control apparatus includes: the device comprises a heating rod, a feed control valve, an aerator, a water pump and illumination equipment; the heating rod, the feed control valve, the aerator, the water pump and the illumination equipment are connected with the relay group;
the wireless transmission module comprises a GPRS module and a GPS positioning module;
the cloud platform is used for automatically acquiring various parameters acquired by the environment detection module, the distribution location of the fishpond and the future weather index prediction situation of the location of the fishpond, and calculating and providing optimal set values of fishpond temperature control, pH value control, water level control, dissolved oxygen control and an illumination loop;
the cloud platform controls the control module to be opened or closed through the wireless transmission module.
2. The intelligent farming system based on cloud platform and weather forecast of claim 1, wherein the cloud platform automatically acquires the location of the intelligent device through a GPS locator and connects the intelligent devices distributed in different locations.
3. The intelligent aquaculture system based on the cloud platform and the meteorological prediction as claimed in claim 1, wherein the control module is provided with a camera device, real-time parameters of the fish pond are displayed on a monitoring display screen, and on-site monitoring of environmental indexes of the fish pond is achieved; the control module is provided with camera equipment, and real-time pictures of the fishpond are uploaded to the cloud platform through the wireless module.
4. The intelligent farming system based on cloud platform and weather forecast of claim 1, wherein the wireless transmission module is a GPRS module; the GPRS module realizes point-to-point data transmission by utilizing a wireless mobile network, and a TCP \ IP protocol stack is arranged in the GPRS module; the GPRS module carries out corresponding processing on the IP packet sent from the singlechip or the grouped data sent from the base station and then forwards the processed IP packet.
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| CN113534720A (en) * | 2021-07-29 | 2021-10-22 | 长沙莲湖乙炔有限公司 | Intelligent centralized oxygen supply system |
| CN113589869A (en) * | 2021-07-06 | 2021-11-02 | 武汉工程大学 | Intelligent oxygenation and remote monitoring device for aquaculture and control method |
| CN114240686A (en) * | 2022-02-24 | 2022-03-25 | 深圳市旗扬特种装备技术工程有限公司 | Wisdom fishery monitoring system |
| CN115024254A (en) * | 2022-06-18 | 2022-09-09 | 莱州明波水产有限公司 | Relay type cyclic cultivation method for stichopus japonicus and prawn jellyfishes based on informatization management |
| CN115145336A (en) * | 2022-06-17 | 2022-10-04 | 广州铁路职业技术学院（广州铁路机械学校） | Method and system for detecting and controlling water quality of fishpond |
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2019
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| CN113349137A (en) * | 2021-06-21 | 2021-09-07 | 海南掌上天下网络技术有限公司 | Container aquaculture system based on internet |
| CN113589869A (en) * | 2021-07-06 | 2021-11-02 | 武汉工程大学 | Intelligent oxygenation and remote monitoring device for aquaculture and control method |
| CN113534720A (en) * | 2021-07-29 | 2021-10-22 | 长沙莲湖乙炔有限公司 | Intelligent centralized oxygen supply system |
| CN114240686A (en) * | 2022-02-24 | 2022-03-25 | 深圳市旗扬特种装备技术工程有限公司 | Wisdom fishery monitoring system |
| CN115145336A (en) * | 2022-06-17 | 2022-10-04 | 广州铁路职业技术学院（广州铁路机械学校） | Method and system for detecting and controlling water quality of fishpond |
| CN115024254A (en) * | 2022-06-18 | 2022-09-09 | 莱州明波水产有限公司 | Relay type cyclic cultivation method for stichopus japonicus and prawn jellyfishes based on informatization management |
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