Smart poultry farm management system using functional LED and sensor network

Abstract

In order to provide a technology for maintaining the interior of a poultry farm in an optimal rearing state by dynamically controlling LED light modules and environmental management equipment that perform environmental improvement functions according to the state and environmental information of broiler chickens sensed by a sensor network, a smart poultry farm management system utilizing a functional LED and a sensor network according to an embodiment of the present invention is characterized by comprising: an LED light module that irradiates light of at least two wavelength bands having different functions; a vision recognition module that identifies broiler chickens inside the poultry farm and generates individual management information derived through the movement of each broiler chicken; an environmental information collection module that senses environmental information inside and outside the poultry farm; an environmental management module including a plurality of equipment for controlling the environmental state inside and outside the poultry farm; and a control module that controls the operation of the LED light module and the environmental management module using the individual management information and environmental information.

Description

Technology Field

[0001] The present invention relates to a technology for managing the environment of a poultry farm using a functional LED lighting device that performs a unique function for each wavelength band and a sensor within the poultry farm. Specifically, the invention relates to a technology for enabling efficient management of a poultry farm using smart farm technology by driving the functional LED differently depending on the surrounding environment and the condition of the broiler chickens, and by providing monitoring information based on the condition of the broiler chickens to the manager. Background Technology

[0002] Driven by recent advancements in IoT and artificial intelligence, smart farm technology is becoming a core technology for various agricultural and livestock industries. Smart farms utilize information technology to measure and analyze temperature, humidity, sunlight, carbon dioxide, and soil conditions within crop cultivation facilities, and based on the analysis results, operate control devices to adjust these conditions to optimal levels. Furthermore, remote management is possible via mobile devices such as smartphones. Smart farms can generate high added value across the entire agricultural production, distribution, and consumption processes, including improvements in productivity, efficiency, and quality. As it refers to an agricultural method utilizing ICT technology, the concept is applicable to open fields, greenhouses, and plant factories alike.

[0003] Among these, livestock-type smart farm technology is a concept that encompasses various techniques designed to provide the highest quality meat in an optimal environment by regulating the growth environment of individual livestock to efficiently promote growth and eliminate factors such as environmental pollution. Specifically, infectious disease management, meat quality management, movement control, and environmental management have established themselves as core elements of livestock-type smart farm technology.

[0004] Among these, poultry farms raise a large number of chickens in a limited space, and accordingly, it is necessary to monitor the growth of multiple broiler chickens and manage them. As for such technology, for example, Korean Registered Patent No. 10-1149417 discloses lighting management technology for chicken houses using LEDs.

[0005] In the prior art described above, by providing a lighting device for a chicken house using LEDs capable of automatically lighting the chicken house by selecting different lighting programs depending on the windowless chicken house, open chicken house, and season, and a controller for controlling the same, it is possible to expect effects such as controlling the light intensity in the poultry farm environment while simultaneously preventing bacterial proliferation.

[0006] However, the above technology has a problem in that dynamic control is difficult in that it simply adjusts LEDs in the chicken house by time, making it impossible to respond immediately to the condition of the broilers. In addition, since only simple lighting control is possible, there is a problem in that close monitoring of the condition of the broilers is impossible. The problem to be solved

[0007] The present invention was developed to comprehensively solve the aforementioned problems, and specifically, one objective is to provide a technology that enables the internal environment of a poultry farm to be maintained in an optimal rearing state at all times by dynamically and automatically illuminating LEDs of each wavelength band, classified according to function, according to the condition and environment of the poultry farm.

[0008] In addition, the present invention has another objective of providing a technology that enables the precise monitoring of the condition of each broiler chicken, thereby allowing for dynamic monitoring of the condition of broiler chickens raised in a poultry farm rather than just simple lighting, and thereby maintaining the meat quality of the broiler chickens optimally. means of solving the problem

[0009] To achieve the above objectives, a smart poultry farm management system utilizing a functional LED and a sensor network according to one embodiment of the present invention comprises: an LED light module that irradiates light of at least two wavelength bands having different functions; a vision recognition module that identifies broiler chickens inside the poultry farm and generates individual management information derived through the movement of each broiler chicken; an environmental information collection module that senses environmental information inside and outside the poultry farm; an environmental management module including a plurality of devices for controlling the environmental state inside and outside the poultry farm; and a control module that controls the operation of the LED light module and the environmental management module using the individual management information and the environmental information.

[0010] The above environmental information collection module may include: a first environmental sensor that collects weather information from an external server; a second environmental sensor that senses temperature and humidity inside and outside the poultry farm; and a third environmental sensor that senses air and harmful substance components inside the poultry farm.

[0011] The above control module can control the operation of the LED light module to irradiate light of at least one wavelength band among a first wavelength band of a sterilization and antibacterial function band, a second wavelength band of a growth promotion function band, a third wavelength band of a fungal killing function band, and a fourth wavelength band of an inflammation treatment function band for broiler chickens, according to environmental information sensed from the above environmental information collection module.

[0012] The above vision recognition module may include: an image capturing unit that captures images inside a poultry farm; and an information generating unit that recognizes and labels each broiler chicken using images inside the poultry farm captured by the image capturing unit, and tracks the movement of the labeled broiler chicken to generate information about the health status of the broiler chicken as individual management information.

[0013] The above information generation unit is capable of generating the individual management information, which includes information on the activity level, presence of disease, and mortality of each broiler chicken, through pattern analysis of the movement of broiler chickens identified in real time.

[0014] The above information generation unit can train an SSD model using data learned through the VVG16 dataset as pre-trained data to distinguish each broiler from each other through feature information of each broiler using images of actual broilers, or recognize broilers using YoLo V3.

[0015] The above information generation unit can track the movement of the recognized broiler chicken in real time using the DeepSort (Simple Online and Realtime Tracking) algorithm, and generate the above individual management information for each broiler chicken using the movement pattern of the tracked broiler chicken.

[0016] The above information generation unit can analyze the correlation between the environmental information received from the environmental information collection module and the individual management information through a preset first algorithm to generate improvement information regarding the environmental information for promoting the growth of broiler chickens and transmit it to the manager terminal.

[0017] The above information generation unit can analyze the correlation between the individual management information and the quality of the meat measured during the processing of each individual through a preset second algorithm, and transmit the correlation information between the individual management information and the quality of the meat to the administrator terminal.

[0018] The above-mentioned environment management module includes an air conditioning unit, a disinfectant spraying unit, a temperature control unit, a humidity control unit, and a poultry farm light control unit, and the control module can control each unit of the environment management module so that the environment information sensed from the environment information collection module reaches a preset target environment value for individual management. Effects of the invention

[0019] According to the present invention, LEDs of different wavelength bands with an environmental improvement function are dynamically illuminated based on the temperature, humidity, and air quality inside the poultry farm collected by an environmental information collection module. In addition, each individual is precisely distinguished, identified, and labeled by a vision recognition sensor, and then its movement is analyzed to generate management information for each individual for monitoring.

[0020] Accordingly, compared to existing technology, the lighting of LEDs can be controlled with superior functionality, which has the effect of maintaining a high-quality rearing environment for broiler chickens within the poultry farm.

[0021] In addition, since broiler chickens raised collectively in poultry farms are monitored individually, it is possible to clearly determine the presence or absence of mortality or disease, or to monitor the condition of individual chickens based on movement data related to the environment, thereby enabling more precise management of the poultry farm. Brief explanation of the drawing

[0022] FIG. 1 is a schematic diagram of a smart poultry farm management system utilizing a functional LED and a sensor network according to an embodiment of the present invention. FIG. 2 is a diagram illustrating an example in which an LED light module is dynamically controlled according to an embodiment of the present invention. FIG. 3 is a diagram illustrating an example in which an LED light module is controlled according to the environment according to an embodiment of the present invention. FIGS. 4 to 6 are drawings illustrating examples of how object management information is acquired and utilized according to each embodiment of the present invention. FIG. 7 is a diagram illustrating an example in which an environment management module is controlled according to an embodiment of the present invention. FIG. 8 is an example of the internal configuration of a computing device according to an embodiment of the present invention. Specific details for implementing the invention

[0023] Hereinafter, various embodiments and / or aspects are disclosed with reference to the drawings. For illustrative purposes, numerous specific details are disclosed in the following description to aid in a general understanding of one or more aspects. However, it will also be recognized by those skilled in the art that these aspects may be practiced without such specific details. The following description and the accompanying drawings describe specific exemplary aspects of one or more aspects in detail. However, these aspects are exemplary, and some of the various methods in the principles of the various aspects may be used, and the description is intended to include all such aspects and their equivalents.

[0024] As used herein, terms such as "examples," "examples," "aspects," "examples," etc., may not be interpreted as implying that any aspect or design described is better or more advantageous than other aspects or designs.

[0025] Additionally, the terms “comprising” and / or “comprising” should be understood to mean that the relevant feature and / or component is present, but not to exclude the presence or addition of one or more other features, components and / or groups thereof.

[0026] Additionally, terms including ordinal numbers, such as first, second, etc., may be used to describe various components, but said components are not limited by said terms. Such terms are used solely for the purpose of distinguishing one component from another. For example, without departing from the scope of the present invention, the first component may be named the second component, and similarly, the second component may be named the first component. The term "and / or" includes a combination of a plurality of related described items or any of a plurality of related described items.

[0027] Furthermore, in the embodiments of the present invention, all terms used herein, including technical or scientific terms, unless otherwise defined, have the same meaning as generally understood by those skilled in the art to which the present invention pertains. Terms such as those defined in commonly used dictionaries should be interpreted as having a meaning consistent with their meaning in the context of the relevant technology, and should not be interpreted in an ideal or overly formal sense unless explicitly defined in the embodiments of the present invention.

[0028] FIG. 1 is a schematic diagram of a smart poultry farm management system utilizing a functional LED and a sensor network according to an embodiment of the present invention; FIG. 2 is a diagram illustrating an example in which an LED light module is dynamically controlled according to an embodiment of the present invention; FIG. 3 is a diagram illustrating an example in which an LED light module is controlled according to the environment according to an embodiment of the present invention; FIG. 4 to 6 are diagrams illustrating examples in which individual management information is acquired and utilized according to each embodiment of the present invention; and FIG. 7 is a diagram illustrating an example in which an environment management module is controlled according to an embodiment of the present invention.

[0029] In the following description, some components described in the drawings may be omitted or excessively enlarged or reduced in order to explain the function of each component of the present invention; however, it should be understood that such illustrated components do not limit the technical features and scope of rights of the present invention. Furthermore, in the following description, multiple drawings will be referenced simultaneously to explain a single technical feature or a component constituting the invention.

[0030] As described above, referring to multiple drawings, a smart poultry farm (1) management system utilizing a functional LED and a sensor network according to one embodiment of the present invention (hereinafter referred to as the "system of the present invention") is characterized by including, as shown in FIG. 1, an LED light module (10), a vision recognition module (20), an environment information collection module (30), an environment management module (not shown), and a control module (40). The control module (40) can be configured to be connected to a manager terminal (50) via a wired or wireless network to enable the transmission and reception of control inputs or monitoring information, etc., as described later.

[0031] In the following description, the control module (40) is configured as a computing device as described in the description of FIG. 8 below, and controls the power supply from an external power supply unit for the above-described LED light module (10), vision recognition module (20), environment information collection module (30), and environment management module (not shown), or controls specific operation, while simultaneously collecting and directly storing or transmitting log information regarding sensing data or operation data of the components from the components, or to a manager terminal (50) or a separate server (not shown), so that the sensing data, various data of the present invention generated from the sensing data, and operation log data of each component can be stored and managed.

[0032] In the present invention, the administrator terminal (50) is a concept that includes a portable smart terminal or a personal PC, and the administrator terminal (50) may be configured to receive object management information and environment information, etc. from the control module (40) or a separate server described above and output it through a user interface, or to enable control input for each component.

[0033] First, the LED light module (10) performs the function of irradiating light of at least two wavelength bands having different functions. Specifically, it can be understood as a concept including multiple lighting devices as shown in FIG. 1 to irradiate light inside the poultry house (1).

[0034] In the present invention, the LED light module (10) may be configured to include a package that emits light of a plurality of wavelengths by means of a light package control means, or may include a unit comprising a plurality of packages that emit light of each wavelength.

[0035] In the present invention, light of wavelength bands having two or more different functions is intended to explain the respective functions of light of different wavelength bands generated from the LED light module (10) as described above. In the present invention, the LED light module (10) may perform the function of lighting by irradiating light inside the poultry house (1), but specifically, it performs the function of improving the environment inside the poultry house (1) by irradiating light of a certain wavelength band. This will be described later.

[0036] The vision recognition module (20) performs the function of identifying broiler chickens (100) inside the poultry farm (1) and generating individual management information derived from the movement of each broiler chicken (100). To perform the above function, the vision recognition module (20) may include a vision sensor and a data processing module. In this case, the data processing module may refer to software installed on a computing device corresponding to the control module (40) described later.

[0037] The vision recognition module (20) extracts and identifies the broiler chickens (100) inside the poultry farm (1) from each image, analyzes the movement patterns of the broiler chickens (100), and generates individual management information indicating the state of the broiler chickens (100).

[0038] At this time, individual management information of the broiler chicken (100) can be generated by performing the following specific functions.

[0039] First, labeling is performed using image data of the inside of the poultry farm (1) captured by vision sensors and images of actual broiler chickens (100) that are the learning targets, and then real-time chicken object recognition is performed through the Tensorflow Lite Object detection API. Since the real-time movement of multiple chickens must be detected, it can be implemented as Multiple Object Tracking (MOT). There are two ways to implement this.

[0040] First, a Single Shot Detector (SSD) model can be used, and additional training can be performed using data learned through the widely known VGG16 dataset as pre-trained data to recognize broiler chickens (100). Second, after recognizing broiler chickens (100) using YoLo V3, a DeepSort algorithm can be used to track them. The DeepSort algorithm is an advanced version of the existing Sort (Simple Online and Realtime Tracking) algorithm, which uses Kalman filters and the Hungarian algorithm to reduce ID switching (a problem where the original target is not captured and a different ID is assigned) by nearly 45% compared to the existing algorithm. Through this algorithm, each broiler chicken (100) is identified and tracked, and based on this, individual management information is generated for each broiler chicken (100).

[0041] In this case, not only is the condition of the entire poultry farm (1) checked, but individual information on each broiler chicken (100) raised in the poultry farm (1) can be managed, which enables more precise and thorough environmental management of the poultry farm (1) and individual management of each chicken.

[0042] Specifically, to perform the above function, the vision recognition module (20) may be implemented to include an image capturing unit, such as a vision sensor, that captures an image inside the poultry farm (1), and an information generating unit that recognizes and labels each broiler chicken (100) using the image inside the poultry farm (1) captured by the image capturing unit, and tracks the movement of the labeled broiler chicken (100) to generate information about the health status of the broiler chicken (100) as the individual management information.

[0043] That is, as shown in FIG. 4, each broiler chicken (100) (201) is recognized through an image (200) captured by a video capturing unit, and then labeled (202) through an image of the actual broiler chicken (100), and individual management information including information on the health status of the broiler chicken (100) is generated through tracking by the algorithm described above.

[0044] At this time, the information generation unit can generate individual management information including information on the amount of movement, disease status, and mortality status of each broiler chicken (100) by analyzing the pattern of movement of the broiler chicken (100) detected in real time, as shown in FIG. 5.

[0045] The environmental information collection module (30) is a module included in a sensor network that performs the function of sensing environmental information inside and outside the poultry farm (1), and may be configured to include, for example as shown in FIG. 1, a first environmental sensor (S1) that collects weather information from an external server, a second environmental sensor (S2) that senses the temperature and humidity inside and outside the poultry farm (1), and a third environmental sensor (S3) that senses the air and harmful substance components inside the poultry farm (1).

[0046] The environment management module refers to a configuration that includes a plurality of devices for controlling the environmental conditions inside and outside the poultry farm (1), and the control module (40) controls the operation of the LED light module (10) and the environment management module using individual management information and environmental information, and at the same time performs the function of transmitting data regarding monitoring information or individual management information, etc., to the manager terminal (50) as data received from sensors or information processed therefrom as described above.

[0047] The control module (40) can specifically control the function of the LED light module (10) described above through the environment information collection module (30). For example, as shown in FIG. 2, the LED light module (10) can be controlled or automatically controlled by providing information to the administrator terminal (50) regarding whether harmful substances, including temperature, humidity, and air components, are sensed by the environment information collection module (30) described above, along with weather information received from an external server (60).

[0048] In this case, as illustrated in FIG. 3, the control module can control the operation of the LED light module to irradiate light of at least one wavelength band among a first wavelength of a sterilization and antibacterial function band, a second wavelength of a growth promotion function band, a third wavelength of a fungal killing function band, and a fourth wavelength of an inflammation treatment function band for broiler chickens (100), according to environmental information sensed from the environmental information collection module.

[0049] Meanwhile, when collecting individual management information for each broiler chicken (100) as described above, that is, for each individual, if the time log is analyzed, the correlation between the individual management information and the environmental information collected from the environmental information collection module (30) can be analyzed through a first algorithm that is pre-set. At this time, the information generation unit receives environmental information (310) from the environmental information collection module (30) as shown in FIG. 5, and then performs the function of analyzing the individual management information (300) by time period through the first algorithm above, thereby generating improvement information (320) for environmental information to promote growth in the individual management information of the broiler chickens (100) and transmitting it to the administrator terminal (50).

[0050] Correlation analysis between heterogeneous data is an algorithmic technique that indicates the degree of influence of one variable on the increase or decrease of another by analyzing the linear relationship between two variables measured as continuous variables. In other words, continuous variables are numerical data for which an arithmetic mean can be calculated, and a linear relationship refers to a relationship where a proportional equation holds. For example, it involves analyzing whether variable B increases or decreases as variable A increases. Correlation analysis uses a correlation coefficient to indicate the degree of the linear relationship between two variables. While there are various analysis methods depending on the measured data, such as Pearson correlation analysis and Sperman correlation analysis, the term "correlation coefficient" generally refers to the Pearson correlation coefficient.

[0051] Meanwhile, the information generation unit may utilize this correlation analysis in a different form. That is, as shown in FIG. 6, the information generation unit may analyze the correlation between the information (330) related to the quality of the meat measured during processing and the individual management information (300) using the first algorithm and the second algorithm with modified variables, in relation to the production of meat products through the processing of the individual, using information received from the outside from the control module (40), and generate the correlation information (321) between the individual management information and the quality of the meat, and transmit it to the manager terminal (40). In this case, the manager may determine whether the quality of the broiler chicken (100) of the breed he is raising can be the best according to certain environmental information, and control the environmental conditions accordingly.

[0052] Meanwhile, the above-described environment management module may include, for example, components for controlling the environment inside the poultry farm (1), such as an air conditioning unit, a disinfectant spraying unit, a temperature control unit, a humidity control unit, and an illumination control unit for the poultry farm (1).

[0053] At this time, the control module (40) can directly control each piece of equipment according to the drive control input received from the administrator terminal (40) collected in accordance with the above-described function performance. Alternatively, as shown in FIG. 7, the control module (40) can automatically control a number of pieces of equipment (60) included in the environment management module using various information received from the environment information collection module (30).

[0054] In this case, the administrator terminal (50) can input a target environment value as environmental information for improving the environment, and the information can be transmitted to the control module (40). At this time, the control module (40) controls each unit (60) of the environment management module so that the environmental information sensed from the environment information collection module reaches the target environment value for pre-set object management.

[0055] Meanwhile, in accordance with the above embodiment, if improvement information regarding environmental information is generated or correlation information between individual management information and meat quality is generated, based on this, environmental information to be improved can be automatically derived according to target value information regarding meat quality, etc., which is input from or automatically set from the administrator terminal (50), and in this case, the environmental information can be automatically set to the aforementioned target environmental value.

[0056] FIG. 8 illustrates an example of the internal configuration of a computing device according to an embodiment of the present invention. In the following description, descriptions of unnecessary embodiments that overlap with the descriptions of FIG. 1 to 4 described above will be omitted.

[0057] As illustrated in FIG. 8, the computing device (10000) may include at least one processor (11100), memory (11200), peripheral interface (11300), input / output subsystem (I / O subsystem) (11400), power circuit (11500), and communication circuit (11600). In this case, the computing device (10000) may correspond to a user terminal (A) connected to a haptic interface device or the aforementioned computing device (B).

[0058] The memory (11200) may include, for example, high-speed random access memory, a magnetic disk, SRAM, DRAM, ROM, flash memory, or non-volatile memory. The memory (11200) may include software modules, instruction sets, or various other data required for the operation of the computing device (10000).

[0059] At this time, access to memory (11200) from other components, such as the processor (11100) or peripheral device interface (11300), can be controlled by the processor (11100).

[0060] The peripheral device interface (11300) can connect input and / or output peripheral devices of the computing device (10000) to the processor (11100) and memory (11200). The processor (11100) can perform various functions for the computing device (10000) and process data by executing software modules or instruction sets stored in the memory (11200).

[0061] The input / output subsystem (11400) can connect various input / output peripherals to the peripheral interface (11300). For example, the input / output subsystem (11400) may include a controller for connecting peripherals such as a monitor, keyboard, mouse, printer, or, if necessary, a touchscreen or sensor to the peripheral interface (11300). According to another aspect, input / output peripherals may be connected to the peripheral interface (11300) without passing through the input / output subsystem (11400).

[0062] The power circuit (11500) can supply power to all or part of the components of the terminal. For example, the power circuit (11500) may include one or more power sources such as a power management system, a battery or alternating current (AC), a charging system, a power failure detection circuit, a power converter or inverter, a power status indicator, or any other components for power generation, management, and distribution.

[0063] The communication circuit (11600) can enable communication with another computing device using at least one external port.

[0064] Alternatively, as described above, the communication circuit (11600) may enable communication with other computing devices by including an RF circuit and transmitting and receiving an RF signal, also known as an electromagnetic signal.

[0065] The embodiment of FIG. 8 is merely an example of a computing device (10000), and the computing device (11000) may have some components shown in FIG. 8 omitted, additional components not shown in FIG. 8 added, or a configuration or arrangement that combines two or more components. For example, a computing device for a communication terminal in a mobile environment may include, in addition to the components shown in FIG. 8, a touchscreen or a sensor, and the communication circuit (1160) may include a circuit for RF communication of various communication methods (WiFi, 3G, LTE, Bluetooth, NFC, Zigbee, etc.). The components that can be included in the computing device (10000) may be implemented as hardware, software, or a combination of both hardware and software, including one or more integrated circuits specialized for signal processing or applications.

[0066] Methods according to embodiments of the present invention may be implemented in the form of program instructions that can be executed through various computing devices and recorded on a computer-readable medium. In particular, the program according to the present embodiment may be configured as a PC-based program or an application dedicated to a mobile terminal. An application to which the present invention is applied may be installed on a user terminal through a file provided by a file distribution system. For example, the file distribution system may include a file transmission unit (not shown) that transmits the file upon a request from the user terminal.

[0067] The device described above may be implemented as a hardware component, a software component, and / or a combination of a hardware component and a software component. For example, the device and components described in the embodiments may be implemented using one or more general-purpose or special-purpose computers, such as, for example, a processor, a controller, an arithmetic logic unit (ALU), a digital signal processor, a microcomputer, a field programmable gate array (FPGA), a programmable logic unit (PLU), a microprocessor, or any other device capable of executing and responding to instructions. The processing unit may execute an operating system (OS) and one or more software applications executed on said operating system. Additionally, the processing unit may access, store, manipulate, process, and generate data in response to the execution of the software. For ease of understanding, the processing unit may be described as being used as a single unit, but those skilled in the art will understand that the processing unit may include a plurality of processing elements and / or a plurality of types of processing elements. For example, the processing unit may include multiple processors or one processor and one controller. Additionally, other processing configurations, such as parallel processors, are also possible.

[0068] Software may include computer programs, code, instructions, or a combination of one or more of these, and may configure a processing unit to operate as desired or command the processing unit independently or collectively. Software and / or data may be permanently or temporarily embodied in any type of machine, component, physical device, virtual equipment, computer storage medium, or device so as to be interpreted by the processing unit or to provide instructions or data to the processing unit. Software may be distributed across networked computing devices and stored or executed in a distributed manner. Software and data may be stored on one or more computer-readable recording media.

[0069] The method according to the embodiment may be implemented in the form of program instructions that can be executed through various computer means and recorded on a computer-readable medium. The computer-readable medium may include program instructions, data files, data structures, etc., either alone or in combination. The program instructions recorded on the medium may be those specifically designed and configured for the embodiment, or they may be those known and available to those skilled in the art of computer software. Examples of computer-readable recording media include magnetic media such as hard disks, floppy disks, and magnetic tapes; optical recording media such as CD-ROMs and DVDs; magneto-optical media such as floptical disks; and hardware devices specifically configured to store and execute program instructions, such as ROM, RAM, and flash memory. Examples of program instructions include machine code, such as that generated by a compiler, as well as high-level language code that can be executed by a computer using an interpreter, etc. The hardware devices described above may be configured to operate as one or more software modules to perform the operation of the embodiment, and vice versa.

[0070] Although the embodiments have been described above with reference to limited embodiments and drawings, those skilled in the art can make various modifications and variations from the description above. For example, appropriate results may be achieved even if the described techniques are performed in a different order than described, and / or if the components of the described system, structure, device, circuit, etc. are combined or assembled in a form different from described, or replaced or substituted by other components or equivalents. Therefore, other implementations, other embodiments, and equivalents to the claims below also fall within the scope of the claims.

Claims

Claim 1 A smart poultry farm management system utilizing a functional LED and a sensor network, implemented as a computing device comprising one or more processors and one or more memories for storing instructions executable by said processors, comprising: an LED light module that irradiates light of at least two wavelength bands having different functions; a vision recognition module that identifies broiler chickens inside the poultry farm and generates individual management information derived through the movement of each broiler chicken; an environmental information collection module that senses environmental information inside and outside the poultry farm; an environmental management module that includes a plurality of devices for controlling the environmental state inside and outside the poultry farm; and a control module that controls the operation of the LED light module and the environmental management module using the individual management information and the environmental information. The control module controls the operation of the LED light module to irradiate light of at least one wavelength band among a first wavelength of a sterilization and antibacterial function band, a second wavelength of a growth promotion function band, a third wavelength of a fungal killing function band, and a fourth wavelength of an inflammation treatment function band for broiler chickens, according to the environmental information sensed by the environmental information collection module. The vision recognition module includes an image capturing unit that captures images inside the poultry farm. A smart poultry farm management system utilizing a functional LED and a sensor network, comprising: an information generation unit that recognizes and labels each broiler chicken using an image inside the poultry farm captured by the image capturing unit, and tracks the movement of the labeled broiler chicken to generate information regarding the health status of the broiler chicken as individual management information; wherein the information generation unit analyzes the correlation between the individual management information and the quality of the meat measured during processing of each individual through a preset second algorithm, and transmits the correlation information between the individual management information and the quality of the meat to an administrator terminal. Claim 2 A smart poultry farm management system utilizing a functional LED and a sensor network, characterized in that, in claim 1, the environmental information collection module comprises: a first environmental sensor that collects weather information from an external server; a second environmental sensor that senses temperature and humidity inside and outside the poultry farm; and a third environmental sensor that senses air and harmful substance components inside the poultry farm. Claim 3 delete Claim 4 delete Claim 5 A smart poultry farm management system utilizing a functional LED and a sensor network, wherein, in claim 1, the information generation unit generates individual management information including information on the amount of movement, the presence of disease, and the mortality of each broiler chicken through pattern analysis of the movement of broiler chickens identified in real time. Claim 6 A smart poultry farm management system utilizing a functional LED and a sensor network, wherein, in claim 5, the information generation unit is characterized by training an SSD model using data learned through the VVG16 dataset as pre-trained data or recognizing a broiler using YoLo V3 in order to label each broiler so as to distinguish each broiler from one another through feature information of each broiler using an image of an actual broiler. Claim 7 A smart poultry farm management system utilizing a functional LED and a sensor network, characterized in that, in claim 6, the information generation unit tracks the movement of a recognized broiler chicken in real time using a DeepSort (Simple Online and Realtime Tracking) algorithm and generates individual management information for each broiler chicken using the movement pattern of the tracked broiler chicken. Claim 8 A smart poultry farm management system utilizing a functional LED and a sensor network, wherein, in claim 1, the information generation unit analyzes the correlation between the environmental information received from the environmental information collection module and the individual management information through a preset first algorithm, generates improvement information regarding the environmental information to promote the growth of broiler chickens, and transmits it to a manager terminal. Claim 9 delete Claim 10 A smart poultry farm management system utilizing a functional LED and a sensor network, wherein, in claim 1, the environment management module includes an air conditioning unit, a disinfectant spraying unit, a temperature control unit, a humidity control unit, and a poultry farm light control unit, and the control module controls each unit of the environment management module so that the environment information sensed from the environment information collection module reaches a preset target environment value for individual management.

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