Internet of Things weighing station system and application

Abstract

The invention discloses an internet-of-things weighing station system. The system comprises a fence, a weighing mechanism and a water dispenser, wherein the weighing mechanism and the water dispenser are arranged in the fence; the weighing mechanism comprises a server, an animal weighing platform and an identification module; the water fountain is arranged on the front side of the animal weighing platform; a fence with an entrance is arranged at the edge of the animal weighing platform; the weighing trough, the animal weighing platform and the identification module are all in signal transmission with the server; and the animal weighing platform is used for weighing an individual animal and feeding back weighing data to the server. By integrating the weighing mechanism, the recognition module, the water fountain, the server and other components, real-time monitoring and recording of animal weight and feed consumption are achieved; the automatic process greatly reduces manual intervention, improves the management efficiency and reduces the labor cost.

Description

Technical Field

[0001] The present invention relates to the field of weighing technology, and in particular to an Internet of Things weighing station system and application. Background Art

[0002] In animal husbandry production, animal weight monitoring and feed conversion rate assessment are important indicators for evaluating animal health, growth performance and economic benefits. Traditional weight monitoring methods usually require animals to be manually driven to a specific area for weighing, which is not only time-consuming and labor-intensive, but may also affect the accuracy of the data due to the animal's stress response. At the same time, the calculation of feed conversion rate usually relies on manual recording of animal weight changes and feed consumption, which is not only inefficient but also prone to errors, and it is difficult to meet the needs of modern animal husbandry for precise management and efficient production.

[0003] In order to solve the above problems, the application of Internet of Things technology in animal husbandry has become increasingly widespread in recent years. Internet of Things technology realizes intelligent monitoring and management of animal growth environment by integrating sensors, identification equipment, data processing and analysis systems and other technical means. However, there are still some shortcomings in the application of existing Internet of Things technology in animal husbandry weighing and feed management. For example, although some systems can automatically record animal weight data, they often lack direct correlation with feed consumption, resulting in inaccurate calculation of feed conversion rate; although other systems can monitor feed consumption, they lack effective animal identification means, making it difficult to accurately correspond data to individual animals, affecting the accuracy and practicality of the data.

[0004] Therefore, it is necessary to provide an Internet of Things weighing station system and application to solve the above problems. Summary of the invention

[0005] The purpose of the present invention is to address the deficiencies of the prior art and to propose an Internet of Things weighing station system and application.

[0006] The technical solution of the present invention is: an Internet of Things weighing station system, comprising a fence and a weighing mechanism and a waterer arranged in the fence; the weighing mechanism comprises a server, an animal weighing platform and an identification module; the waterer (2) is arranged on the front side of the animal weighing platform; a fence with an entrance is arranged at the edge of the animal weighing platform; the weighing trough, the animal weighing platform and the identification module are all in signal transmission with the server; the animal weighing platform is used to weigh individual animals and feed back the weighing data to the server; the identification module is used to identify the data information of the animal being weighed and feed back the identified information to the server.

[0007] A weighing trough is provided outside the fence; the weighing trough is used to feed back the weight change of the weighing trough before and after the animal eats to the server; the server calculates the feed conversion rate of the animal group according to the weight change of the weighing trough and the weight change of the animal.

[0008] The two sides of the fence are arranged in an inverted "eight" shape.

[0009] The identification module is an electronic ear tag identifier.

[0010] It also includes a camera that is connected to the server in communication; the camera is used to estimate the weight of the animal based on the image of the animal.

[0011] The camera is also used to identify individual animals and count the number of animals based on the images of the animals.

[0012] An application of an Internet of Things weighing station system, using the Internet of Things weighing station system; within a certain period, when an animal / animal group comes to drink water, a server obtains the weight of the animal / animal group and calculates the average; at the same time, after the animal / animal group eats, the server obtains the change value of the weighing trough and calculates the average, and the server calculates the feed conversion rate of the animal / animal group based on the average weight of the animal / animal group and the average food intake of the animal / animal group.

[0013] The IoT weighing station system is used to establish a correlation between the weight readings of animals in the drinking area and the camera image weight estimation to calibrate the camera image weight estimation.

[0014] Establish an association between ear tag recognition for weighing animals in the drinking area and camera image recognition to calibrate the camera image's ability to recognize individual animals.

[0015] The IoT weighing station system is used; the number of animals is determined based on the camera, and the average feed intake is obtained by dividing the weight loss value of the weighing trough by the number.

[0016] The Internet of Things weighing station system is used; the camera weight estimation value is compared with the actual weighing value to calibrate the camera weight estimation algorithm; the camera weight estimation algorithm includes estimating the dot matrix area of ​​the animal's back using a convolution algorithm.

[0017] In large-scale breeding farms, the IoT weighing station system is installed in some animal pens, while in other pens, the real-time calibrated camera algorithm in the system is used to identify individuals and estimate weight only through camera images.

[0018] By adopting the above technical solution, the present invention has the following beneficial effects: (1) The present invention realizes real-time monitoring and recording of animal weight by integrating components such as a weighing mechanism, an identification module, a waterer, and a server; this automated process greatly reduces manual intervention, improves management efficiency, and reduces labor costs.

[0019] (2) The present invention is provided with a weighing trough, which realizes real-time monitoring and recording of animal feed consumption, and cooperates with the server to calculate the feed conversion rate of the animal group according to the weight change value of the weighing trough and the weight change of the animal, which has an important reference significance for the selection of feed.

[0020] (3) The system of the present invention can accurately identify the identity of animals and ensure that the weight and feed consumption data accurately correspond to individual animals; at the same time, based on these data, the server can calculate the feed conversion rate of the animal group, providing scientific and accurate data support for animal husbandry production, helping to optimize feeding strategies and improve economic benefits.

[0021] (4) By introducing visual recognition equipment such as cameras, the present invention enables the system to not only estimate the weight of animals based on images, but also monitor animal behavior in real time and detect abnormal situations in a timely manner; this intelligent monitoring and early warning mechanism helps prevent the spread of diseases and protect animal health.

[0022] (5) The system of the present invention supports a variety of application scenarios, such as calculating the average weight of animal groups and obtaining the average feed intake, which can meet the different production needs of animal husbandry. In addition, the system has good scalability and can add functional modules according to actual needs to further improve management efficiency.

[0023] (6) By accurately calculating the feed conversion rate, the system of the present invention can guide the breeder to reasonably adjust the feed ratio, reduce feed waste, and lower production costs; at the same time, the system can also optimize the breeding environment and improve resource utilization efficiency according to the growth conditions of the animals.

[0024] (7) The Internet of Things weighing station system and its application of the present invention will push the traditional animal husbandry management mode to a new stage of intelligence, dataization and precision, which will help to improve the management level and competitiveness of the entire animal husbandry industry. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] In order to make the contents of the present invention more clearly understood, the present invention is further described in detail below based on specific embodiments in conjunction with the accompanying drawings.

[0026] Figure 1 It is a schematic diagram of the structure of the present invention.

[0027] Figure 2 This is a schematic structural diagram from another perspective after the weighing trough is removed from the present invention.

[0028] The reference numerals in the accompanying drawings are:

[0029] Fence 1, drinking fountain 2, server 3, animal weighing platform 4, identification module 5, fence 6, camera 7, weighing trough 8. DETAILED DESCRIPTION

[0030] (Example 1)

[0031] See Figure 1 and Figure 2 , an Internet of Things weighing station system of the present embodiment includes a fence 1 and a weighing mechanism and a waterer 2 arranged in the fence 1; a weighing trough 8 is arranged outside the fence 1; the weighing mechanism includes a server 3, an animal weighing platform 4 and an identification module 5; the waterer 2 is arranged on the front side of the animal weighing platform 4; a fence 6 with an entrance is arranged at the edge of the animal weighing platform 4; the weighing trough 8, the animal weighing platform 4, and the identification module 5 are all in signal transmission with the server 3; the animal weighing platform is used to weigh individual animals and feed back the weighing data to the server 3; the identification module 5 is used to identify the data information of the animal being weighed, and feed back the identified information to the server 3; the weighing trough 8 is used to feed back the change value of the weight of the weighing trough 8 before and after the animal eats to the server 3; the server 3 calculates the feed conversion rate of the animal group according to the change value of the weight of the weighing trough 8 and the weight change of the animal.

[0032] Furthermore, a weighing trough is provided outside the fence; the weighing trough is used to feed back the weight change of the weighing trough before and after the animal eats to the server; the server calculates the feed conversion rate of the animal group according to the weight change of the weighing trough and the weight change of the animal.

[0033] Furthermore, the two sides of the fence 6 are arranged in an inverted "eight" shape.

[0034] Furthermore, the identification module 5 is an electronic ear tag identifier.

[0035] Furthermore, it also includes a camera 7 which is communicatively connected to the server 3; the camera 7 is used to estimate the weight of the animal based on the image of the animal.

[0036] Furthermore, the camera 7 is also used to identify individual animals and count the number of animals based on the images of the animals.

[0037] An application of an Internet of Things weighing station system, using the Internet of Things weighing station system; within a certain period, when an animal / animal group comes to drink water, a server 3 obtains the weight of the animal / animal group and calculates the average; at the same time, after the animal / animal group eats, the server 3 obtains the change value of the weighing trough 8 and calculates the average. The server 3 calculates the feed conversion rate of the animal / animal group based on the average weight of the animal / animal group and the average food intake of the animal / animal group.

[0038] Furthermore, the IoT weighing station system is used to establish a correlation between the weight reading of the animals in the drinking area and the weight estimation of the camera 7 image, so as to calibrate the weight estimation of the camera 7 image. The weight estimation algorithm of the camera 7 is calibrated using the real data of the weighing during feeding to improve the weight estimation accuracy.

[0039] Furthermore, an association is established between ear tag recognition for weighing animals in the drinking area and image recognition by camera 7 to calibrate the ability of camera 7 to recognize individual animals.

[0040] Furthermore, the IoT weighing station system is used; the number of animals is determined according to the camera 7, and the average feed intake is obtained by dividing the weight loss value of the weighing trough 8 by the number. The number of pigs is determined by the camera 7, and the average feed intake per head is calculated; at the same time, the growth status of specific individuals is understood in combination with the ear tag information.

[0041] Furthermore, the Internet of Things weighing station system is used; the estimated weight value of camera 7 is compared with the actual weighing value, and the camera 7 weight estimation algorithm is calibrated; the camera 7 weight estimation algorithm includes estimating the dot matrix area of ​​the animal's back using a convolution algorithm.

[0042] Furthermore, in large-scale breeding farms, the IoT weighing station system is installed in some animal pens, and in other pens, the real-time calibrated camera algorithm in the system is used to identify individuals and estimate weight only through camera images, thereby achieving comprehensive weight monitoring and management at a low cost.

[0043] An Internet of Things weighing station system of this embodiment has the following advantages:

[0044] 1. Compared with traditional weighing stations, the drinking water weighing device has a simpler structure, is easier to install and maintain, and reduces the overall cost.

[0045] 2. The feeding weighing method is closer to the daily behavior of animals, reducing the stress response caused by weighing.

[0046] 3. The estimated weight by camera 7 is verified with the actual weighing data, which improves the accuracy of the weight data.

[0047] 4. Supports multiple feed comparison tests, suitable for farms of different sizes, and provides flexible application options.

[0048] 5. The animal weighing platform 4 and the feed trough weighing equipment are light and portable, and suitable for widespread promotion and use.

[0049] 6. Combined with electronic ear tag recognition technology, individual information can be extracted from group data to meet the needs of scientific research and fine management.

[0050] The Internet of Things weighing station system and its application provided by the present invention have significant beneficial effects in animal husbandry management, innovate the traditional animal weighing method, and provide new tools and technical means for the intelligent management and research of animal husbandry; not only improve management efficiency and reduce costs, but also optimize resource utilization and enhance the overall competitiveness of animal husbandry.

[0051] The specific embodiments described above further illustrate the objectives, technical solutions and beneficial effects of the present invention in detail. It should be understood that the above description is only a specific embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. An Internet of Things weighing station system, characterized in that: The invention comprises a fence (1) and a weighing mechanism and a drinking fountain (2) arranged in the fence (1); the weighing mechanism comprises a server (3), an animal weighing platform (4) and an identification module (5); the drinking fountain (2) is arranged on the front side of the animal weighing platform (4); a fence (6) with an entrance is arranged at the edge of the animal weighing platform (4); the weighing trough (8), the animal weighing platform (4) and the identification module (5) are all capable of signal transmission with the server (3); the animal weighing platform (4) is used to weigh individual animals and feed back the weighing data to the server (3); the identification module (5) is used to identify the data information of the animal being weighed and feed back the identified information to the server (3).

2. The Internet of Things weighing station system according to claim 1, characterized in that: A weighing trough (8) is provided outside the fence (1); the weighing trough (8) is used to feed back the weight change value of the weighing trough (8) before and after the animals eat to the server (3); the server (3) calculates the feed conversion rate of the animal group based on the weight change value of the weighing trough (8) and the weight change of the animals.

3. The Internet of Things weighing station system according to claim 1, characterized in that: The two sides of the fence (6) are arranged in an inverted "eight" shape.

4. The IoT weighing station system according to claim 1, characterized in that: The identification module (5) is an electronic ear tag identifier.

5. The IoT weighing station system according to claim 1, characterized in that: it also includes A camera (7) is communicatively connected to the server (3); the camera (7) is used to estimate the weight of the animal based on the image of the animal.

6. An Internet of Things weighing station system according to claim 5, characterized in that the camera (7) is also used to identify individual animals and count the number of animals based on the images of the animals.

7. Application of an Internet of Things weighing station system according to any one of claims 1 to 6, characterized in that: The Internet of Things weighing station system is used; within a certain period, when an animal / animal group comes to drink water, the server (3) obtains the weight of the animal / animal group and calculates the average value; at the same time, after the animal / animal group eats, the server (3) obtains the change value of the weighing trough (8) and calculates the average value. The server (3) calculates the feed conversion rate of the animal / animal group based on the average weight of the animal / animal group and the average food intake of the animal / animal group.

8. The application of an Internet of Things weighing station system according to claim 5, characterized in that: The Internet of Things weighing station system is used to establish a correlation between the weight reading of the animals weighed in the drinking area and the image weight estimation of the camera (7) so as to calibrate the image weight estimation of the camera (7).

9. The application of an Internet of Things weighing station system according to claim 5, characterized in that: The Internet of Things weighing station system is used to establish an association between ear tag recognition for weighing animals in a drinking area and image recognition by a camera (7) so as to calibrate the ability of the camera (7) to recognize individual animals.

10. The application of an Internet of Things weighing station system according to claim 5, characterized in that: The Internet of Things weighing station system is used; the number of animals is determined based on the camera (7), and the average feed intake is obtained by dividing the weight loss value of the feed trough (8) by the number.

11. The application of an Internet of Things weighing station system according to claim 5, characterized in that: The Internet of Things weighing station system is used; the weight value estimated by the camera (7) is compared with the actual weighing value, and the weight estimation algorithm of the camera (7) is calibrated; the weight estimation algorithm of the camera (7) includes estimating the dot matrix area of ​​the animal's back using a convolution algorithm.

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