CN110779575A - Animal husbandry monitoring system based on big data platform - Google Patents
Animal husbandry monitoring system based on big data platform Download PDFInfo
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- CN110779575A CN110779575A CN201911086378.7A CN201911086378A CN110779575A CN 110779575 A CN110779575 A CN 110779575A CN 201911086378 A CN201911086378 A CN 201911086378A CN 110779575 A CN110779575 A CN 110779575A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
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- G—PHYSICS
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- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/02—Agriculture; Fishing; Mining
Abstract
The invention relates to an animal husbandry monitoring system based on a big data platform, which comprises a detection terminal and an upper computer, wherein the detection terminal and the upper computer are in communication connection; the detection terminal is arranged on the breeding field, detects the environmental information of the breeding field and the image information of the bred animals and sends the environmental information and the image information to the upper computer; the upper computer is used for: judging the health condition of the cultured animals according to the received cultured image information, and sending the environmental information of the farm and the health condition of the cultured animals to a cloud platform; and receiving the environmental information of other farms and the health conditions of the bred animals from the cloud platform, comparing the environmental information with the environmental information of the farm and the health conditions of the bred animals, and predicting the health conditions of the bred animals in the farm. According to the technical scheme provided by the invention, the health condition of the cultured animals in the culture place can be predicted by comparing the environmental information of the culture place with that of other culture places, so that the reliability of the monitoring system is improved.
Description
Technical Field
The invention belongs to the technical field of intelligent monitoring of animal husbandry, and particularly relates to an animal husbandry monitoring system based on a large data platform.
Background
The animal husbandry is a production department for obtaining animal products such as meat, eggs, milk, wool, cashmere, hide, silk and medicinal materials by utilizing the physiological functions of animals such as livestock and poultry which are domesticated by human beings or wild animals such as deer, musk, fox, mink, otter, quail and the like and converting the plant energy such as pasture, feed and the like into animal energy through artificial feeding and breeding. Compared with self-sufficient livestock breeding, the main characteristics of the animal husbandry are centralization, scale production and production purpose of profit. Animal husbandry is an extremely important link for exchanging substances between human beings and the nature, is one of the components of agriculture, and is combined with planting as two major pillars for agricultural production.
The traditional breeding mode of animal husbandry leads the bred animals to die due to pathological changes every year because of environmental abnormalities, and huge economic losses are caused to breeders.
With the development of science and technology, the animal husbandry is being transformed from traditional cultivation to modern cultivation, the modern cultivation is to monitor the environment of the farm in real time through an intelligent environment monitoring sensor, then whether the environment of the farm is abnormal or not is judged according to the monitored data, and an alarm signal is sent out when the environment of the farm is abnormal. And the environmental monitoring system of animal husbandry can also realize equipment such as temperature and humidity control device, the device of throwing something and feeding of remote control plant, makes the environment of plant reach the optimum state to realize the target of scientific breed, accurate quarantine inspection and the quick income increase of animal husbandry.
The monitoring system of animal husbandry in the prior art can only monitor and adjust the environment of a farm so as to prevent the health of the bred animals from being abnormal, but cannot predict the possible health problems of the bred animals, so that the monitoring reliability is poor.
Disclosure of Invention
The invention aims to provide an animal husbandry monitoring system based on a big data platform, and the animal husbandry monitoring system is used for solving the problem that the animal husbandry monitoring system in the prior art cannot predict the health of animals cultured in a culture place, so that the reliability is poor.
In order to achieve the purpose, the invention adopts the following technical scheme:
a stock farming monitoring system based on a big data platform comprises a detection terminal and an upper computer which are in communication connection; the detection terminal is arranged on the breeding field, detects the environmental information of the breeding field and the image information of the bred animals and sends the environmental information and the image information to the upper computer; the upper computer is used for:
judging the health condition of the cultured animals according to the received cultured image information, and sending the environmental information of the farm and the health condition of the cultured animals to a cloud platform;
and receiving the environmental information of other farms and the health conditions of the bred animals from the cloud platform, comparing the environmental information with the environmental information of the farm and the health conditions of the bred animals, and predicting the health conditions of the bred animals in the farm.
According to the technical scheme provided by the invention, the upper computer of the farm can receive the environmental conditions of other farms and the health conditions of the cultured animals through the cloud platform, and most of the health conditions of the cultured animals are related to the environment, so that the health conditions of the cultured animals in the farm can be predicted by comparing the environmental information of the farm and the other farms.
Further, the detection terminal comprises a terminal processor, and the terminal processor is connected with a communication device, a dust sensor, an illumination sensor, a gas sensor and a temperature and humidity sensor; the communication device is in communication connection with the upper computer, and the gas sensor comprises a carbon dioxide sensor, an ammonia gas sensor and an oxygen sensor.
The environmental factors which most affect the breeding animals in the breeding farm are the temperature, the humidity, the carbon dioxide concentration, the ammonia gas concentration and the oxygen gas concentration of the environment, so that a temperature and humidity sensor, a carbon dioxide sensor, an ammonia gas sensor and an oxygen gas sensor are required to be arranged in the breeding farm.
Further, after the upper computer receives the image information of the cultured animals, the activity frequency of the cultured animals is obtained according to the image information of the cultured animals; and when the activity frequency of the cultured animals is lower than the set frequency, judging that the health conditions of the cultured animals are abnormal.
The activity of the animals is reduced when the health condition of the animals is abnormal, so that whether the health condition of the animals is abnormal or not can be accurately judged according to the activity frequency of the cultured animals.
Further, after the upper computer receives the environmental information of other farms and the health conditions of the cultured animals, if the health conditions of the cultured animals in the culture farms are abnormal, whether the distance between the farm and the farm is smaller than a set value is judged; if the value is less than the preset value, the health condition of the cultured animals in the culture place is judged to be risky.
Since some of the conditions of the animals are regional, there is a risk of health of the animals being raised in the farm when problems arise with the health of the animals being raised in other farms in the same area.
Further, after the upper computer receives the environmental information of other farms and the health conditions of the cultured animals, if the health conditions of the cultured animals in the culture farms are abnormal, calculating the similarity between the environmental information of the farm and the environmental information of the farm; and if the similarity between the two is greater than the set similarity, judging that the health condition of the cultured animals in the culture place is risky.
Because the environment has the greatest influence on the health of animals, if the environments of two breeding places are consistent, when the health of the animals bred in one breeding place is abnormal, the health of the animals bred in the other breeding place is at risk.
Further, when the difference values of the temperature, the humidity and the gas content of the two farms are smaller than the corresponding set difference values, the similarity between the environmental information of the two farms is judged to be larger than the set similarity.
And further, the system also comprises a user terminal in communication connection with the upper computer, and when the upper computer judges that the health condition of the cultured animals in the culture place is abnormal or has risks, alarm information is sent to the user terminal.
The user terminal is in communication connection with the upper computer, and when the health condition of the animals cultured in the culture place is abnormal or risks exist, alarm information can be sent to the user in time, so that the user can collect measures in time.
Drawings
Fig. 1 is a schematic structural diagram of an animal husbandry monitoring system based on a large data platform in an embodiment of the invention;
FIG. 2 is a schematic structural diagram of a detection terminal in an embodiment of the present invention;
FIG. 3 is a diagram illustrating the results of the host computer in an embodiment of the present invention;
FIG. 4 is a first flowchart of determining whether an abnormality exists in the health status of farm animals according to an embodiment of the present invention;
FIG. 5 is a second flowchart of the method for determining whether the health status of farm animals is abnormal according to the embodiment of the present invention.
Detailed Description
The embodiment provides an animal husbandry monitoring system based on big data platform for monitor the environment of plant, and predict the risk that the plant probably appears, thereby reduce the loss of plant.
The animal husbandry monitoring system based on the big data platform, which is provided by the embodiment, has a structure as shown in fig. 1, and comprises an upper computer and n detection terminals, wherein n is an integer greater than 1.
Each detection terminal sets up respectively in corresponding breed district, and detection terminal includes the treater, and the treater is connected with illumination sensor, dust sensor, camera, temperature and humidity sensor, gas sensor and communication device, as shown in fig. 2. Light sensor, the dust sensor, temperature and humidity sensor, gas sensor and camera setting are in breeding the district, temperature and humidity sensor is used for detecting the temperature information and the humidity information of breeding the district and sends for the treater, light sensor is used for detecting the illumination intensity information of breeding the district and sends for the treater, dust sensor is used for detecting the dust concentration information of breeding the district and sends for the treater, the camera is used for detecting the image information of breeding the district and sends for the treater, gas sensor includes the carbon oxide sensor, ammonia sensor and oxygen sensor, a carbon dioxide concentration for detecting the district of breeding, ammonia concentration and oxygen concentration send for the treater.
The processor in this embodiment adopts the singlechip that the model is 89C52 series, and communication device adopts RS485 communication module, is connected through RS485 bus communication with the host computer to realize the information interaction between processor and the host computer on the detection terminal. After the processor receives the data collected by the illumination sensor, the dust sensor, the temperature and humidity sensor, the gas sensor and the camera, the data are sent to the upper computer through the communication device.
The upper computer is provided with an Ethernet communication module and RS485 communication modules corresponding to the number of the detection terminals, as shown in figure 3, the upper computer is in communication connection with the processor of the detection terminal through the RS485 communication modules, and is in communication connection with the cloud platform through the Ethernet communication modules.
After receiving the data sent by the processor, the upper computer performs the following processing on the data:
and judging whether the health condition of the cultured animals is abnormal or not according to the image information of the farm.
When the health condition of the cultivated animals has problems, the activity of the cultivated animals is reduced, so that whether the health condition of the cultivated animals is abnormal or not can be judged according to the activity degree of the cultivated animals.
In this embodiment, the method for determining whether the health condition of the farm is abnormal according to the image information of the farm includes:
identifying the bred animal from the image, and counting the animal once per activity to obtain the activity times of the animal in one minute;
judging whether the number of times of the animal activity in one minute is less than the set number of times, and if so, continuously detecting the animal;
and if the activity times of the animal in five continuous minutes are less than the set times, judging that the health condition of the animal is abnormal.
After the host computer judges the health information of the animal of breeding, with the illumination intensity information of this plant, the dust concentration information, temperature information, humidity information, reach the cloud platform on the health condition of gas content information and the animal of breeding, the monitoring system accessible cloud platform of other plants of being connected with this cloud platform looks over the illumination intensity information of this plant, the dust concentration information, temperature information, humidity information, gas content information and the health condition of the animal of breeding, the same host computer of this plant also can acquire the illumination intensity information of other plants through the cloud platform, the dust concentration information, temperature information, humidity information, gas content information and the health condition of the animal of breeding.
After the upper computer acquires the illumination intensity information, the dust concentration information, the temperature information, the humidity information, the gas content information of other farms and the health conditions of the bred animals through the cloud platform, the upper computer compares the illumination intensity information, the dust concentration information, the temperature information, the humidity information, the gas content information and the health conditions of the bred animals with those of the farm, and the risks possibly existing in the health conditions of the bred animals in the farm are predicted.
The risk prediction of the upper computer on the health condition of the cultured animals in the culture place comprises the following steps:
(1) after acquiring the illumination intensity information, the dust concentration information, the temperature information, the humidity information, the gas content information and the health condition of the cultured animals of other culturing places from the upper computer, judging whether the health of the cultured animals of the culturing places is abnormal or not;
if the health of the cultured animals in the culture place is abnormal, calculating the distance between the culture place and the local culture place; if the distance is smaller than the set distance, it is determined that the health status of the farm-raised animals is at risk, as shown in fig. 4.
(2) After acquiring the illumination intensity information, the dust concentration information, the temperature information, the humidity information, the gas content information and the health condition of the cultured animals of other culturing places from the upper computer, judging whether the health of the cultured animals of the culturing places is abnormal or not;
if the health of the cultured animals in the culture place is abnormal, judging whether the similarity between the environment information of the culture place and the environment information of the culture place is greater than the set similarity or not;
if the similarity between the abnormal environment information of the farm and the environment information of the farm is greater than the set similarity, it is determined that the health status of the farm-raised animals is abnormal, as shown in fig. 5.
The method for judging whether the environmental information of the two farms is greater than the set value comprises the following steps:
calculating the difference of the illumination intensity, the difference of the dust concentration, the difference of the temperature, the difference of the humidity, the difference of the oxygen content, the difference of the carbon dioxide and the difference of the ammonia content of the two farms, and judging whether the difference is larger than a corresponding set difference;
and if the difference of the illumination intensity, the difference of the dust concentration, the difference of the temperature, the difference of the humidity, the difference of the oxygen content, the difference of the carbon dioxide and the difference of the ammonia content of the two farms are smaller than the corresponding set difference, judging that the similarity of the environmental information of the two farms is greater than the set similarity.
Claims (7)
1. A stock farming monitoring system based on a big data platform comprises a detection terminal and an upper computer which are in communication connection; the detection terminal is arranged on the breeding field, detects the environmental information of the breeding field and the image information of the bred animals and sends the environmental information and the image information to the upper computer; the device is characterized in that the upper computer is used for:
judging the health condition of the cultured animals according to the received cultured image information, and sending the environmental information of the farm and the health condition of the cultured animals to a cloud platform;
and receiving the environmental information of other farms and the health conditions of the bred animals from the cloud platform, comparing the environmental information with the environmental information of the farm and the health conditions of the bred animals, and predicting the health conditions of the bred animals in the farm.
2. The animal husbandry monitoring system based on the big data platform according to claim 1, wherein the detection terminal comprises a terminal processor, and the terminal processor is connected with a communication device, a dust sensor, an illumination sensor, a gas sensor and a temperature and humidity sensor; the communication device is in communication connection with the upper computer, and the gas sensor comprises a carbon dioxide sensor, an ammonia gas sensor and an oxygen sensor.
3. The animal husbandry monitoring system based on the big data platform as claimed in claim 1, wherein the upper computer obtains the activity frequency of the cultivated animals according to the image information of the cultivated animals after receiving the image information of the cultivated animals; and when the activity frequency of the cultured animals is lower than the set frequency, judging that the health conditions of the cultured animals are abnormal.
4. The animal husbandry monitoring system based on the big data platform as claimed in claim 1, wherein the upper computer receives environmental information of other farms and health conditions of the farmed animals, and judges whether the distance between the farm and the farm is smaller than a set value or not if the health conditions of the farmed animals in the farm are abnormal; if the value is less than the preset value, the health condition of the cultured animals in the culture place is judged to be risky.
5. The animal husbandry monitoring system based on the big data platform according to claim 1, wherein after the upper computer receives the environmental information of other farms and the health conditions of the farmed animals, if the health conditions of the farmed animals in any farm are abnormal, the similarity between the environmental information of the farm and the environmental information of the farm is calculated; and if the similarity between the two is greater than the set similarity, judging that the health condition of the cultured animals in the culture place is risky.
6. The large data platform-based animal husbandry monitoring system according to claim 5, wherein when the difference values of the temperature, the humidity and the gas content of the two farms are smaller than the corresponding set difference values, the similarity between the environmental information of the two farms is judged to be larger than the set similarity.
7. The animal husbandry monitoring system based on the big data platform as claimed in claim 1, further comprising a user terminal in communication connection with the upper computer, wherein when the upper computer determines that the health condition of the farm animals is abnormal or risks, alarm information is sent to the user terminal.
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Cited By (2)
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| CN115641458A (en) * | 2022-10-14 | 2023-01-24 | 吉林鑫兰软件科技有限公司 | AI (Artificial intelligence) recognition system for breeding of target to be counted and bank wind control application |
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