Weighing station system based on Internet of Things

Abstract

The utility model discloses a weighing station system based on the Internet of Things. The weighing station system comprises a fence, a weighing mechanism and a water fountain, 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 identification module, the water fountain, the server and other components, the animal weight and the feed consumption are monitored and recorded in real time; the automatic process greatly reduces manual intervention, improves the management efficiency and reduces the labor cost.

Description

TECHNICAL FIELD

[0001] The utility model relates to weighing technical field especially is related to a thing networking weighing station system. BACKGROUND

[0002] In livestock production, monitoring animal weight and evaluating feed conversion rate are important indicators for assessing animal health, growth performance, and economic benefits. Traditional weight monitoring methods usually require manual driving of animals to a specific area for weighing. This method not only consumes time and effort, but also may affect data accuracy due to animal 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, making it difficult to meet the needs of modern livestock for precise management and efficient production.

[0003] In recent years, the application of Internet of Things technology in livestock has become increasingly widespread. Internet of Things technology integrates sensors, identification devices, data processing and analysis systems, and other technical means to achieve intelligent monitoring and management of animal growth environment. However, the existing Internet of Things technology still has some shortcomings in livestock weighing and feed management. For example, some systems can automatically record animal weight data, but often lack direct correlation with feed consumption, resulting in inaccurate calculation of feed conversion rate; another system can monitor feed consumption, but lacks effective animal identification means, making it difficult to accurately correspond data to individual animals, affecting data accuracy and practicality.

[0004] Therefore, it is necessary to provide an Internet of Things weighing station system to solve the above problems. INVENTION CONTENTS

[0005] The utility model aims at the deficiency of prior art, and proposes an Internet of Things weighing station system.

[0006] The technical scheme of the utility model is: an Internet of Things weighing station system, including a fence, a weighing mechanism and a water dispenser arranged in the fence; the weighing mechanism includes a server, an animal weighing platform and an identification module; the water dispenser (2) is arranged on the front side of the animal weighing platform; the animal weighing platform is provided with a fence with an entrance at the edge; the weighing mechanism, the animal weighing platform and the identification module are in signal transmission with the server; the animal weighing platform is used for weighing individual animals and feeding the weighing data to the server; the identification module is used for identifying the data information of the animal being weighed and feeding the identified information to the server.

[0007] The fence is externally provided with a weighing trough; the weighing trough is used to feed the change value of the weight 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 change value of the weight 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 communicatively connected to the server; the camera is used to estimate the weight of the animal according to the image of the animal.

[0011] The camera is also used to identify individual animals and count the number of animals according to the image of the animal.

[0012] An application of an Internet of Things weighing station system, adopts the Internet of Things weighing station system; within a certain period, when the animal / animal group drinks water, the server obtains the weight of the animal / animal group and calculates the mean value; at the same time, after the animal / animal group eats, the server obtains the change value of the weighing trough and calculates the mean value, and the server calculates the feed conversion rate of the animal / animal group according to the mean value of the weight of the animal / animal group and the mean value of the feed intake of the animal / animal group.

[0013] Adopting the Internet of Things weighing station system; establishing the correlation between the indication of the weight of the animal weighed in the water drinking area and the camera image estimated weight to calibrate the camera image estimated weight.

[0014] Establishing the correlation between the ear tag identification of the animal weighed in the water drinking area and the camera image identification to calibrate the ability of the camera image identification of individual animals.

[0015] Adopting the Internet of Things weighing station system; according to the camera, the number of animals is determined, and the average feed intake can be obtained by dividing the weight loss value of the weighing trough by the number.

[0016] Adopting the Internet of Things weighing station system; comparing the camera estimated weight value with the actual weighed value to calibrate the camera estimated weight algorithm; the camera estimated weight algorithm includes using convolution algorithm to estimate the area of animal back dot matrix.

[0017] In large-scale farms, the Internet of Things weighing station system is used in part of the animal houses, and according to the real-time calibrated camera algorithm in the system, only through the camera image, the individual is distinguished and the weight is estimated in the other houses.

[0018] The utility model discloses the following beneficial effects are obtained: (1) the utility model discloses through the integration weighing mechanism, identification module, drinking vessel and server etc.

[0019] (2) the utility model discloses set up the weighing trough, realized real -time monitoring and recording to animal feed consumption, and cooperate with the server according to the weight change value of weighing trough and the weight change of animal calculates the feed conversion rate of animal group, and this has important reference significance to the selection of feed.

[0020] (3) the system of the utility model can accurately identify the identity of animal, ensures that the weight and feed consumption data accurately correspond to individual animal, and simultaneously, based on these data, the server can calculate the feed conversion rate of animal group, provides scientific, accurate data support for the production of animal husbandry, helps optimize the feeding strategy, improves economic efficiency.

[0021] (4) the utility model discloses through introducing camera and visual identification equipment, the system not only can carry out weight valuation according to animal image, but also can monitor animal behavior in real time, and discovers abnormal situation in time, and this intelligent monitoring and early warning mechanism helps prevent disease transmission, guarantees the health of animal.

[0022] (5) the system of the utility model supports multiple application scenarios, such as animal group weight average value calculation, average intake acquisition, and can satisfy different animal husbandry production demand, and in addition, the system has good expansibility, and can increase functional module according to actual demand, and further improves management efficiency.

[0023] (6) the utility model discloses through the accurate calculation feed conversion rate, the system can guide the feeder to adjust the feed proportion reasonably, reduces feed waste, reduces production cost, and simultaneously, the system can also optimize the feeding environment according to the growth of animal, improves resource utilization efficiency.

[0024] (7) the internet of things weighing station system and its application of the utility model push the traditional animal husbandry management mode to the new stage of intelligent, data, accurate, help to improve the management level and competitiveness of the whole animal husbandry. BRIEF DESCRIPTION OF DRAWINGS

[0025] In order to make the content of the utility model more easily understood clearly, the utility model is further explained in detail below according to specific embodiment and combines with the attached drawing.

[0026] Figure 1 It is the structural schematic diagram of the utility model.

[0027] Figure 2Another perspective structure schematic view of the utility model after removing the weighing trough.

[0028] The reference signs in the drawings are:

[0029] Fence 1, water dispenser 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 The Internet of Things weighing station system of the embodiment comprises a fence 1 and a weighing mechanism and a water dispenser 2 arranged in the fence 1; the fence 1 is externally provided with a weighing trough 8; the weighing mechanism comprises a server 3, an animal weighing platform 4 and an identification module 5; the water dispenser 2 is arranged on the front side of the animal weighing platform 4; the fence 6 with an entrance is arranged on the edge of the animal weighing platform 4; the weighing mechanism, 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 for weighing individual animals and feeding back the weighing data to the server 3; the identification module 5 is used for identifying the data information of the animal being weighed and feeding back the identified information to the server 3; the weighing trough 8 is used for feeding back the change value of the weight of the weighing trough 8 before and after the animal eats to the server 3; and 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 body weight change of the animal.

[0032] Further, the fence is externally provided with a weighing trough; the weighing trough is used for feeding back the change value of the weight of the weighing trough to the server; and the server calculates the feed conversion rate of the animal group according to the change value of the weight of the weighing trough and the body weight change of the animal.

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

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

[0035] Further, the camera 7 in communication connection with the server 3 is further comprised; and the camera 7 is used for estimating the body weight of the animal according to the image of the animal.

[0036] Further, the camera 7 is further used for identifying individual animals and counting the number of animals according to the image of the animal.

[0037] The application of an Internet of Things weighing station system adopts the Internet of Things weighing station system; within a certain period, when animals / animal groups come to drink water, the server 3 obtains the weight of the animals / animal groups and calculates the average value; at the same time, after the animals / animal groups eat, the server 3 obtains the change value of the weighing trough 8 and calculates the average value, and the server 3 calculates the feed conversion rate of the animals / animal groups according to the average weight of the animals / animal groups and the average feed intake of the animals / animal groups.

[0038] Further, the Internet of Things weighing station system is adopted; the indication of the weight of the animals in the drinking water area is associated with the camera 7 image weight estimation to calibrate the camera 7 image weight estimation. The real data of the weight during eating is used to calibrate the camera 7 weight estimation algorithm, and the weight estimation accuracy is improved.

[0039] Further, the ear tag recognition of the weight of the animals in the drinking water area is associated with the camera 7 image recognition to calibrate the camera 7 image recognition of the individual ability of the animals.

[0040] Further, the Internet of Things weighing station system is adopted; the number of animals is determined according to the camera 7, and the average feed intake can be obtained by dividing the weight loss value of the weighing trough 8 by the number. The number of the pig groups is determined by the camera 7, and the average feed intake is calculated; at the same time, the growth status of the specific individual is understood in combination with the ear tag information.

[0041] Further, the Internet of Things weighing station system is adopted; the camera 7 estimation value is compared with the actual weighing value to calibrate the camera 7 estimation algorithm; the camera 7 estimation algorithm includes using a convolution algorithm to estimate the area of the animal back point array.

[0042] Further, in large-scale farms, the Internet of Things weighing station system is used in part of the animal houses, and according to the real-time calibrated camera algorithm in the system, only the individual is distinguished and the weight is estimated through the camera image in the other houses, so that comprehensive weight monitoring and management are realized at low cost.

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

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

[0045] 2. The eating weighing method is closer to the daily behavior of animals, and reduces the stress reaction caused by weighing.

[0046] 3. The camera 7 estimation is verified with the actual weighing data, and the accuracy of the weight data is improved.

[0047] 4. It supports comparison and testing of multiple feeds and is suitable for different scales of farms, providing flexible application options.

[0048] 5、 The animal weighing platform 4 and the trough weighing device are light and portable, and are suitable for wide use.

[0049] 6、 Combined with electronic ear identification 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 application thereof have remarkable beneficial effects in livestock management, innovate the traditional animal weighing method, and provide new tools and technical means for intelligent management and research of livestock industry; the management efficiency is improved, the cost is reduced, the resource utilization is optimized, and the overall competitiveness of the livestock industry is improved.

[0051] The above specific embodiments further specifically describe the purpose, technical scheme and beneficial effects of the utility model, and it should be understood that the above description is only for specific embodiments of the utility model and is not used to limit the utility model, and any modification, equivalent replacement, improvement, etc. within the spirit and principle of the utility model should be included in the protection scope of the utility model.

Claims

1. An Internet of Things (IoT) weighing station system, characterized in that: The system includes a fence (1) and a weighing mechanism and a waterer (2) located within the fence (1); the weighing mechanism includes a server (3), an animal weighing platform (4), and an identification module (5); the waterer (2) is located on the front side of the animal weighing platform (4); the animal weighing platform (4) has an entrance fence (6) located at its edge; the weighing mechanism, the animal weighing platform (4), and the identification module (5) all transmit signals to the server (3); the animal weighing platform (4) is used to weigh individual animals and feed the weighing data back to the server (3); the identification module (5) is used to identify the data information of the animal being weighed and feed the identified information back to the server (3).

2. The IoT weighing station system according to claim 1, characterized in that: The fence (1) is provided with a weighing trough (8); the weighing trough (8) is used to feed back the change in 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 based on the change in weight of the weighing trough (8) and the change in the animal's weight.

3. The IoT weighing station system according to claim 1, characterized in that: The fence (6) is arranged in an inverted "V" shape on both sides.

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

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

6. The IoT 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 their images.

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