CN211581170U - Farming systems based on big data - Google Patents
Farming systems based on big data Download PDFInfo
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- CN211581170U CN211581170U CN201820412683.5U CN201820412683U CN211581170U CN 211581170 U CN211581170 U CN 211581170U CN 201820412683 U CN201820412683 U CN 201820412683U CN 211581170 U CN211581170 U CN 211581170U
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Abstract
The utility model discloses a: a big data-based cultivation system comprises a central processing unit, wherein the central processing unit is connected with a temperature sensing module, an ammonia sensing module, an illumination sensing module, a camera shooting module, a floor heater, a water curtain, a ventilation device, a material tray weight sensor and a communication module; the air interchanger is connected with an ozone generator; the central processing unit is connected with the user terminal through the communication module. The utility model has the advantages that the big data model detects the feed intake of the swinery to arrange the feed preparation plan, and simultaneously, the occurrence of epidemic diseases can be predicted; the intelligent control keeps the temperature, ammonia concentration and illumination intensity in the swinery.
Description
Technical Field
The utility model belongs to the technical field of intelligence is bred and specifically relates to a farming systems based on big data is related to.
Background
The core of big data application is prediction, and future related data is predicted by processing massive data to obtain a model of an object. In the traditional pig raising industry, no one has paid attention to the parameters of the production process before, and managers pay attention to the feed-meat ratio, the survival rate and the market price. While other parameters such as daily pigsty temperature, light and ammonia concentration cannot be modeled in the traditional way, and under the pig raising industry which is managed more and more finely, big data is changing the industry.
The traditional large-scale breeding has high requirements on the professional degree of technicians and high dependence on technologically-enriched professional technicians, and because the knowledge background and the professional degree of each technician are different, the standard breeding is difficult to form, and the development of the pig raising industry is not facilitated. The big data is used as the driving force of the transition, and the trend of future data is predicted by the big data through massive data collection and analysis, so that the whole production behavior is guided.
SUMMERY OF THE UTILITY MODEL
In order to solve the problem, the utility model provides a farming systems based on big data.
In order to achieve the above purpose, the utility model adopts the following technical scheme: a big data-based cultivation system comprises a central processing unit, wherein the central processing unit is connected with a temperature sensing module, an ammonia sensing module, an illumination sensing module, a camera shooting module, a floor heater, a water curtain, a ventilation device, a material tray weight sensor and a communication module; the air interchanger is connected with an ozone generator; the central processing unit is connected with the user terminal through the communication module;
the temperature sensing module is used for sensing the temperature of the pigsty;
the ammonia sensing module is used for sensing the concentration of ammonia in the pigsty;
the illumination induction module is used for inducing the illumination intensity of the pigsty;
the camera module is used for shooting the activities of pigs in the pigsty;
the ground heater is used for heating the ground temperature of the pigsty;
the water curtain is used for cooling the pigsty;
the ventilation device is used for ventilating the pigsty;
the user terminal is used for checking the pigsty temperature, the ammonia concentration, the illumination intensity and the activity of the pigs;
the ozone generator is used for generating ozone;
the communication module is used for uploading and downloading data to the user terminal.
Furthermore, the temperature sensing module is a thermocouple and is arranged at a position which is higher than the average height of the pigs; the temperature sensor of the fattening pig is 60-90cm away from the ground, the temperature sensor of the nursery pig is 30-60cm away from the ground, and the temperature sensor of the piglet is 10-30cm away from the ground.
Furthermore, the ammonia sensing module is an ammonia concentration detector and is arranged at a position which is higher than the average height of the pigs; the height of the fattening pig ammonia sensor from the ground is 60-90cm, the height of the nursery pig temperature sensor from the ground is 30-60cm, and the height of the piglet ammonia sensor from the ground is 10-30 cm.
Furthermore, the illumination induction module is an illumination sensor, and more than 2 illumination induction modules are uniformly arranged on the ceiling of the pigsty.
Furthermore, the ground heating is arranged below a cement layer in a pig rest area in the pigsty, and the distance between the ground heating wire and the ground is 0.5-2 cm.
Further, the water curtain is installed at the position of a window on the periphery.
Furthermore, the air interchanger is arranged in each pigsty and comprises an air inlet and an air outlet, and the air inlet and the air outlet are positioned at the average height of the pigs; the temperature sensor of the fattening pig is 60-90cm away from the ground, the temperature sensor of the nursery pig is 30-60cm away from the ground, and the temperature sensor of the piglet is 10-30cm away from the ground.
Further, an air inlet of the air interchanger is connected with an ozone generator.
Further, the central processing unit is used for analyzing the feed intake law of the complete growth cycle of the swinery to generate a big data model to predict the feed intake of the swinery 7 days in the future, and the central processing unit is used for comparing the difference between the feed intake and the actual feed intake to predict the health condition of the swinery.
Compared with the prior art, the beneficial effects of the utility model reside in that:
1. the big data model detects the feed intake of the swinery to arrange a feed preparation plan, and can also predict the occurrence of epidemic diseases;
2. the intelligent control keeps the temperature, ammonia concentration and illumination intensity in the swinery.
Drawings
Fig. 1 is a block diagram of a system according to an embodiment of the present invention.
Detailed Description
In order to clearly understand the technical features, objects and effects of the present invention, the detailed embodiments of the present invention will be described with reference to the accompanying drawings, but the scope of the present invention is not limited to the following description.
As shown in fig. 1, the utility model provides a big data based cultivation system, which comprises a central processing unit, wherein the central processing unit is connected with a temperature sensing module, an ammonia sensing module, an illumination sensing module, a camera module, a floor heating, a water curtain, a ventilation device, a material tray weight sensor and a communication module; the air interchanger is connected with an ozone generator; the central processing unit is connected with the user terminal through the communication module;
the temperature sensing module is used for sensing the temperature of the pigsty;
the ammonia sensing module is used for sensing the concentration of ammonia in the pigsty;
the illumination induction module is used for inducing the illumination intensity of the pigsty;
the camera module is used for shooting the activities of pigs in the pigsty;
the ground heater is used for heating the ground temperature of the pigsty;
the water curtain is used for cooling the pigsty;
the ventilation device is used for ventilating the pigsty;
the user terminal is used for checking the pigsty temperature, the ammonia concentration, the illumination intensity and the activity of the pigs;
the ozone generator is used for generating ozone;
the communication module is used for uploading and downloading data to the user terminal.
In the embodiment, as shown in fig. 1, preferably, the temperature sensing module is a thermocouple, and the temperature sensing module is installed at a position corresponding to the average height of the pigs; the temperature sensor for fattening pigs is 60-90cm away from the ground, the temperature sensor for nursery pigs is 30-60cm away from the ground, the temperature sensor for piglets is 10-30cm away from the ground, the pigsty space is generally higher, the shed height is 6-10m, and the temperature sensor is required to be placed at the position of the height of the pigs for accurate measurement. Preferably, the ammonia sensing module is an ammonia concentration detector and is arranged at a position which is higher than the average height of the pigs; the height of the fattening pig ammonia sensor from the ground is 60-90cm, the height of the nursery pig temperature sensor from the ground is 30-60cm, the height of the piglet ammonia sensor from the ground is 10-30cm, the pigsty space is generally higher, the height of the shed is 6-10m, and the ammonia sensor is required to be placed at the position of the height of the pig for accurate measurement. Preferably, the illumination response module is the illumination sensor, and the ceiling of pig house is evenly installed to the illumination response module more than 2, and the pig house ceiling has transparent tile, can reduce or do not open the illumination daytime, has pointed out by reliable test, and illumination can influence the pig growth, and the pig house condition is also looked over to the convenient managers of illumination simultaneously.
As shown in fig. 1, in this embodiment, preferably, the floor heating is installed below a cement layer in a pig rest area in a pigsty, the distance between the floor heating wire and the ground is 0.5-2cm, when the pig is cold, the pig can go to a warm place to lie on the stomach to rest, and in addition, the heat transmission is relatively high-efficient on the cement layer of about 1 cm. Preferably, the water curtain is arranged at the position of a peripheral window, and the water curtain is arranged at the position of the window in the closed pigsty. Preferably, the air interchanger is arranged in each pigsty, and is divided into an air inlet and an air outlet, and the air inlet and the air outlet are positioned at the average height of the pigs; the temperature sensor of the fattening pig is 60-90cm away from the ground, the temperature sensor of the nursery pig is 30-60cm away from the ground, and the temperature sensor of the piglet is 10-30cm away from the ground, and most importantly, the air at the height of daily activities of the pig is guaranteed to be fresh preferentially. Preferably, the air inlet of the ventilation device is connected with an ozone generator, the ozone has the sterilization and purification effects on the air environment of the pigsty, and the ozone does not harm the growth of the pigs.
As shown in fig. 1, further, the central processing unit is used for analyzing the feed intake law of the complete growth cycle of the swinery to generate a big data model for predicting the feed intake of the swinery 7 days in the future, the central processing unit is used for comparing the difference between the feed intake and the actual feed intake to predict the health condition of the swinery, and the feed preparation can be reasonably arranged by controlling the feed intake of the swinery, because the feed prepared earlier is easy to deteriorate, the feed prepared by using the freshest raw material is generally optimal around one week; meanwhile, the feeding of the swinery is changed violently, which indicates that the swinery has outbreak of epidemic diseases.
The above disclosure is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the scope of the invention, which is defined by the appended claims.
Claims (9)
1. A farming systems based on big data which characterized in that: the system comprises a central processing unit, wherein the central processing unit is connected with a temperature sensing module, an ammonia sensing module, an illumination sensing module, a camera module, a floor heating device, a water curtain, a ventilation device, a material tray weight sensor and a communication module; the air interchanger is connected with an ozone generator; the central processing unit is connected with the user terminal through the communication module;
the temperature sensing module is used for sensing the temperature of the pigsty;
the ammonia sensing module is used for sensing the concentration of ammonia in the pigsty;
the illumination induction module is used for inducing the illumination intensity of the pigsty;
the camera module is used for shooting the activities of pigs in the pigsty;
the ground heater is used for heating the ground temperature of the pigsty;
the water curtain is used for cooling the pigsty;
the ventilation device is used for ventilating the pigsty;
the user terminal is used for checking the pigsty temperature, the ammonia concentration, the illumination intensity and the activity of the pigs;
the ozone generator is used for generating ozone;
the communication module is used for uploading and downloading data to the user terminal.
2. The big-data based farming system of claim 1, wherein: the temperature sensing module is a thermocouple and is arranged at a position which is higher than the average height of the pigs; the temperature sensor of the fattening pig is 60-90cm away from the ground, the temperature sensor of the nursery pig is 30-60cm away from the ground, and the temperature sensor of the piglet is 10-30cm away from the ground.
3. The big-data based farming system of claim 1, wherein: the ammonia sensing module is an ammonia concentration detector and is arranged at a position with the average height of the pig; the height of the fattening pig ammonia sensor from the ground is 60-90cm, the height of the nursery pig temperature sensor from the ground is 30-60cm, and the height of the piglet ammonia sensor from the ground is 10-30 cm.
4. The big-data based farming system of claim 1, wherein: the illumination induction module is an illumination sensor, and more than 2 illumination induction modules are uniformly arranged on the ceiling of the pigsty.
5. The big-data based farming system of claim 1, wherein: the ground heating is arranged below a cement layer in a pig rest area in a pigsty, and the distance between the ground heating wire and the ground is 0.5-2 cm.
6. The big-data based farming system of claim 1, wherein: the water curtain is arranged at the position of the peripheral windows.
7. The big-data based farming system of claim 1, wherein: the air interchanger is arranged in each pigsty, and comprises an air inlet and an air outlet, wherein the air inlet and the air outlet are positioned at the average height of the pigs; the temperature sensor of the fattening pig is 60-90cm away from the ground, the temperature sensor of the nursery pig is 30-60cm away from the ground, and the temperature sensor of the piglet is 10-30cm away from the ground.
8. The big-data based farming system of claim 1, wherein: and the air inlet of the air interchanger is connected with an ozone generator.
9. The big-data based farming system of claim 1, wherein: the central processing unit is used for analyzing the feed intake rule of the complete growth cycle of the swinery to generate a big data model to predict the feed intake of the swinery in 7 days in the future, and the central processing unit is used for comparing the difference between the feed intake and the actual feed intake to predict the health condition of the swinery.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201820412683.5U CN211581170U (en) | 2018-03-26 | 2018-03-26 | Farming systems based on big data |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201820412683.5U CN211581170U (en) | 2018-03-26 | 2018-03-26 | Farming systems based on big data |
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| Publication Number | Publication Date |
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| CN211581170U true CN211581170U (en) | 2020-09-29 |
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| CN201820412683.5U Expired - Fee Related CN211581170U (en) | 2018-03-26 | 2018-03-26 | Farming systems based on big data |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113907018A (en) * | 2021-11-01 | 2022-01-11 | 安徽省农业科学院农业经济与信息研究所 | Intelligent sensing and monitoring system for harmful microorganisms in pigsty |
-
2018
- 2018-03-26 CN CN201820412683.5U patent/CN211581170U/en not_active Expired - Fee Related
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113907018A (en) * | 2021-11-01 | 2022-01-11 | 安徽省农业科学院农业经济与信息研究所 | Intelligent sensing and monitoring system for harmful microorganisms in pigsty |
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