The present invention relates to the technology field of environmental monitoring, and more particularly to a multi-use monitoring system.
Chicken is the most consumed meat in the world, and is continuously growing. With ever larger demand, control over every aspect of chicken meat production becomes paramount. In addition, as consumers become increasingly aware of food supply, demand for sustainably raised chicken, as well as welfare of chicken gained increased importance. Accordingly, how to carry out an effective breeding environment monitoring and control has become an important and ignorable issue.
According to the existing research report, abnormal concentration of certain gases, including ammonia, carbon dioxide, carbon monoxide, and odor gas, would lead the chickens to be suffered from respiratory diseases in case of the level thereof being too high. Moreover, research report also indicates that anything above 29 degrees Celsius is hot for a chicken, and can lead the chickens to be weight decrease and suffered from heatstroke. On the other hand, research report further indicates that aspergillosis is a fungal infection generally affecting the respiratory system of a chicken. As explained in more detail below, Aspergillus spores survive and grow on organic matters like egg yolk, cardboard boxes and wood, and cycles of high and low humidity optimise the growth of the fungus (mycelium) and the spread of its spores.
According to above descriptions, it is understood that environmental parameters certainly affect the growth of broilers and hens (i.e., poultry). However, there is still a lack of environmental monitoring system capable of simultaneously conducting measurement of environmental parameter, measurement of poultry characteristic(s) and correlation between environmental parameters and poultry characteristic(s). In view of this fact, inventors of the present application have made great efforts to make inventive research and eventually provided a multi-use monitoring system. As such, a system that can combine environmental and growth performance data can attain the goal of predictive livestock monitoring.
The primary objective of the present invention is to disclose a multi-use monitoring system, which comprises an electronic device, multiple sensor devices, multiple cameras, at least one wireless interface, and a remote electronic device. According to the present invention, the sensor devices are adopted for detecting multiple environmental parameters such as gas level, humidity and temperature, and the multiple cameras are controlled to acquire images from the poultry bred in a breeding environment. Therefore, after receiving the images and the environmental parameters from the electronic device, the remote electronic device can extract at least one poultry characteristic from the images, and then correlate the environmental parameters to the poultry characteristic. As a result, the remote electronic device can subsequently calculate an evaluation score according to the growth and/or health state of the poultry, such that the breeder can plan how to distribute the breeding resources for the poultry.
For achieving the primary objective mentioned above, the present invention provides an embodiment of the multi-use monitoring system, comprises:
In one embodiment, each said sensor device has a plug and play interface, and the first processor executes the first application program so as to be further configured to:
In one embodiment, the environmental parameter is selected from a group consisting of gas level, wind speed, temperature, humidity, and particulate matter (PM).
In one embodiment, the poultry animal is selected from a group consisting of chicken, duck and goose.
In one embodiment, the sensor component is integrated with at least one sensor film for sensing specific gas selected from a group consisting of ammonia (NH3), carbon dioxide (CO2), methane (CH4), carbon monoxide (CO), molecular oxygen (O2), ozone (O3), nitric oxide (NO), nitric dioxide (NO2), sulfur dioxide (SO2), hydrogen sulfide (H2S), and formaldehyde (CH2O).
In one embodiment, each said camera is integrated with a storage device therein, and the storage device is selected from a group consisting of flash memory and solid-state drive (SSD) card.
In one embodiment, the electronic device is integrated with a storage device therein, and the storage device is selected from a group consisting of hard disk drive (HDD), flash memory and solid-state drive (SSD) card.
In one embodiment, each said camera is powered by a battery device, a power adapter or a PoE device, and being selected from a group consisting of SWIR camera, MWIR camera, LWIR camera, RGB camera, RGB-IR camera, LiDAR camera, time-of-flight (ToF) camera, and structured light camera.
In one embodiment, the second processor executes the second application program so as to be further configured to:
In one embodiment, the plurality of images comprise 2D images, 3D images, and thermal images.
In one embodiment, the environmental feature is selected from a group consisting of litter temperature, litter water content, activity of said poultry animal, and acoustic profile of said poultry animal.
In one embodiment, the wireless interface is selected from a group consisting of 4G communication interface, 4G LTE communication interface, 5G communication interface, 6G communication interface, WiFi interface, and Bluetooth interface.
In a practicable embodiment, the multi-use monitoring system according to the present invention further comprises:
In one embodiment, the peripheral device is selected from a group consisting of lighting device, gyroscope, and warning device.
In one embodiment, the first processor executes the first application program so as to be further configured to:
The invention as well as a preferred mode of use and advantages thereof will be best understood by referring to the following detailed description of an illustrative embodiment in conjunction with the accompanying drawings, wherein:
To more clearly describe a multi-use monitoring system according to the present invention, embodiments of the present invention will be described in detail with reference to the attached drawings hereinafter.
The plurality of sensor devices 13 are adopted for detecting and collecting a plurality of environmental parameters of a poultry environment. According to the present invention, each said sensor device 13 has a plug and play interface, and the first processor 11P executes the first application program thereby being configured to: recognize and then enable, after a sensor component is integrated in said sensor device 13 thereby being electrically connected to the plug and play interfaces, said sensor component. In one embodiment, the sensor component is integrated with at least one sensor film for sensing specific gas, and said specific gas can be, but is not limited to, ammonia (NH3), carbon dioxide (CO2), methane (CH4), carbon monoxide (CO), molecular oxygen (O2), ozone (O3), nitric oxide (NO), nitric dioxide (NO2), sulfur dioxide (SO2), hydrogen sulfide (H2S), and/or formaldehyde (CH2O). Briefly speaking, the sensor component is adopted for sensing the gas level of at least one of the aforesaid gases. Moreover, said sensor device 13 can also be integrated with a temperature sensor, a humidity sensor, and/or particulate matter (PM) sensor therein. As further explained in more detail below, each said sensor device 13 can be replaced by a different one while the system 1 is operating, and the system 1 would automatically take the reading from the new sensor device 13, recognizing the type of the sensor component, and output the sensor reading from the new sensor device 13.
On the other hand, the plurality of cameras 12 are adopted for acquiring a plurality of images of a group of poultry animals bred in the breeding environment, wherein each said camera 12 can be integrated with a storage device therein, like flash memory or solid-state drive (SSD) card. Moreover, in a practicable embodiment, the poultry animal can be, but is not limited to, chicken, duck or goose. In addition, said camera 12 is powered by a battery device, a power adapter or a PoE device, and can be, but is not limited to, SWIR camera, MWIR camera, LWIR camera, RGB camera, RGB-IR camera, LiDAR camera, time-of-flight (ToF) camera, or structured light camera. Correspondingly, the aforesaid images may include 2D images, 3D images, and thermal images. And camera could also be connected with an automated weighing scale to measure poultry weight to directly correlate camera data with the scale weight data.
Camera mostly directly transmit image data through ethernet (PoE) to the cloud, and is processed there
When the multi-use monitoring system 1 is disposed in a poultry farm environment for monitoring various parameters of the breeding environment as well as growth variations of a group of poultry animals bred in the breeding environment, the first electronic device 11P executes the control module 11M1, thereby being configured to:
In a practicable embodiment, the wireless interface 14 can be, but is not limited to, 4G communication interface, 4G LTE communication interface, 5G communication interface, 6G communication interface, WiFi interface, or Bluetooth interface. Moreover, the environmental parameters comprises gas level, wind speed, temperature, humidity, and particulate matter (PM), and the plurality of images comprise 2D images, 3D images, and thermal images. Therefore, the electronic device 11 can be further integrated with a storage device for storing a data of the environmental parameters and the images of the poultry animals, and the storage device comprise a hard disk drive (HDD), a flash memory and/or a solid-state drive (SSD) card.
After receiving the environmental parameters and the images of the poultry animals from the electronic device 11, the second processor 15P executes the data processing module 15M1 and the AI module 15M2, thereby being configured to:
In one embodiment, the environmental feature comprises at least one of litter temperature, litter water content, activity of said poultry animal, and acoustic profile of said poultry animal. Therefore, after conducting measurement of the environmental parameters, extraction of the poultry characteristic(s), extraction of environmental feature(s), and correlation between the environmental parameters and/or the environmental feature(s) to the poultry characteristic(s), the second processor 15P is subsequently configured to calculate an evaluation score for showing a growth state and/or a health state of said poultry animal, such that the breeder can plan how to distribute the breeding resources for the group of poultry animals.
Particularly, the AI module 15M2 comprises a pre-trained growth prediction model and a pre-trained recognition model, such that the second processor 15P executes the AI module 15M2 so as to be further configured to:
Minimum ventilation is often utilized in poultry houses (i.e., the breeding environment) during cold climate to save heating cost, but can lead to worsening environmental conditions. In such application environment, the multi-use monitoring system 1 collects environmental parameter including temperature, relative humidity, ammonia, CO2, and litter moisture level, and also acquires images of the poultry animals bred in the poultry houses. After obtaining the poultry characteristics including weight, daily weight gain, uniformity and mortality, and the remote electronic device 15 is able to correlate the poultry characteristic(s) to the environmental parameter(s). If there is a correlation between poultry characteristic(s) and the environmental parameter(s) during minimum ventilation, the remote electronic device 15 would continuously generate a ventilation adjusting suggestion for properly changing environmental parameters.
In another example, the effectiveness of litter treatment can be evaluated by using this multi-use monitoring system 1. After the breeder applies one or more different litter treatments to the poultry houses (i.e., breeding environment), the system 1 is operated for collecting the environments parameter and detecting the growth data of the poultry animals bred in the breeding environment. As a result, after conducting the measurement of environmental parameters, the measurement of poultry characteristic(s) and correlation between environmental parameters and poultry characteristic(s), the remote electronic device 15 succeeds in correlating the poultry characteristic(s) to the environmental parameter(s). If there is a correlation between poultry characteristic(s) and the environmental parameter(s) during minimum ventilation, the remote electronic device 15 would continuously generate a litter treatment adjusting suggestion for properly changing environmental parameters.
Therefore, through above descriptions, all embodiments and their constituting elements of the multi-use monitoring system according to the present invention have been introduced completely and clearly. Moreover, the above description is made on embodiments of the present invention. However, the embodiments are not intended to limit the scope of the present invention, and all equivalent implementations or alterations within the spirit of the present invention still fall within the scope of the present invention.
Number | Date | Country | |
---|---|---|---|
63440113 | Jan 2023 | US |