WO2017003113A1 - System for preventing diseases of flatfish through sound and image analysis - Google Patents

System for preventing diseases of flatfish through sound and image analysis Download PDF

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Publication number
WO2017003113A1
WO2017003113A1 PCT/KR2016/006320 KR2016006320W WO2017003113A1 WO 2017003113 A1 WO2017003113 A1 WO 2017003113A1 KR 2016006320 W KR2016006320 W KR 2016006320W WO 2017003113 A1 WO2017003113 A1 WO 2017003113A1
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flounder
activity
information
disease
analysis
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PCT/KR2016/006320
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French (fr)
Korean (ko)
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김형수
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주식회사 글로비트
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Publication of WO2017003113A1 publication Critical patent/WO2017003113A1/en

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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/02Agriculture; Fishing; Mining
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N7/00Television systems
    • H04N7/18Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast

Definitions

  • the present invention relates to a flounder disease prevention system through sound and image analysis, and more specifically, to extract the sound and image information according to the habit of the flounder in aquaculture tank, the feed activity, the amount of activity, the standard growth
  • the present invention relates to a flounder disease prevention system through sound and image analysis, which can analyze database information comprehensively, detect signs of disease, and enable early observation and coping of diseases in a corresponding tank.
  • the present invention is to catch the sound generated during the leap when hunting the flounder to set the food activity level through the voice analysis and judge the abnormal symptoms of the disease when the reference level or below, or the frequency of coming up on the surface of the flounder through CCTV Accordingly, the present invention relates to a flounder disease prevention system through acoustic and image analysis that can be quickly responded by observing abnormal symptoms of a disease.
  • the halibut (paralichthys olivaceus) is a predatory fish belonging to the predator's early river flounder flounder family. It lives mainly in the sea, and the body adapts to the environment under the sea and is flat. The body color is yellowish brown, which is indistinguishable from the sandy bottom. It is large in size and is about 1m long. Usually, females are about 10cm larger than males.
  • the edge of the body has a somewhat hard fin, with 77-81 on the dorsal side and 59-61 on the dorsal side.
  • the scales are very small and the lateral line starting near the pectoral fin consists of 107-120 scales.
  • the mouth is large and has sharp teeth, and the lower jaw sticks forward compared to the upper jaw.
  • a young flounder that wakes up two or three days after spawning floats in shallow waters and begins to grow at the bottom of the sea when it grows older. In childhood, they eat small shrimps or other fish, and when they grow, they eat crustaceans, mollusks, or small fish.
  • One side of the flounder, which is a characteristic of flounder, does not appear in childhood, but as it grows, the right eye gradually moves to the left.
  • aquaculture flounder is a world-class product designated item nurtured by the Ministry of Knowledge Economy, and a policy to promote representative organizations by item, which is one of the five future strategic tasks for strengthening the competitiveness of agriculture, forestry and fisheries promoted by the Ministry of Agriculture, Forestry and Fisheries. Corresponds to the items representing the fisheries industry.
  • advanced aquaculture technologies are established that can be stocked and shipped throughout the year.
  • the spawning season of the flounder in the natural state of Jeju Island is known to be in the resting state in April and June. Since the coast of Jeju Island has a long daylight cycle from early March to the end of September, and a single light cycle from late September to early March, the maturity of the flounder reproductive activity during the transition from single light cycle to long day cycle.
  • the spawning phase occurs during the long-daylight cycle and the genitals are at rest before the single-light cycle.
  • Jeju Island The coastline of Jeju Island is 253km in total and is composed mostly of volcanic rocks, and it is rich in various algae, so it has a very important position as a spawning ground and wintering ground for temperate marine fish.
  • the minimum water temperature in winter is 12 and the maximum water temperature in winter is 28 or less.
  • the present invention is to solve the above problems, by extracting the sound and image information according to the habit of the flounder in aquaculture tank comprehensively analyze the food activity, activity amount, standard growth database information according to the fed food symptoms of disease It is to provide a flounder disease prevention system through the acoustic and image analysis that can detect and cope with the disease early detection and response to the tank.
  • the present invention is to catch the sound generated during the leap when hunting the flounder to set the food activity level through the voice analysis and judge the abnormal symptoms of the disease when the reference level or below, or the frequency of coming up on the surface of the flounder through CCTV Accordingly, to provide a flounder disease prevention system through the acoustic and image analysis that can be quickly responded to by monitoring and monitoring the abnormal signs of the disease.
  • the flounder disease prevention system through the acoustic and image analysis according to the embodiment of the present invention, by using the ecological habits to jump near the water when hunting the prey of the flounder by gapping the sound generated when jumping over the water
  • a monitoring device that monitors the amount of activity of the flounder by analyzing or monitoring the tank through an underwater CCTV camera in the tank to track the occurrence of abnormal signs of the collected images; Food activity analysis information through voice analysis provided in the aquarium, storage of the flounder activity information according to abnormal symptoms, the status information of the disease diagnosis and prescription records, or the movement of the flounder according to the operation of each device for the prevention of flounder disease
  • a management server configured to provide a feeding amount according to a feeding activity measurement value of a feeding time, a feeding amount, and a feeding number of data according to a level value and a range of a movement of the up-value with respect to the analyzed acoustic signal when jumping.
  • the remote medical device in conjunction with the remote medical device through the remote control of the state of the flounder through the intensive observation through the photographing and additional diagnosis and prescription is required by dispatching the relevant managers for the condition of the flounder, request details It is characterized in that the configuration, including; a farm management information, remote management device to manage by filling the presence or absence of information on the tank.
  • the flounder disease prevention system through the sound and image analysis according to the present invention is based on the image collected through the movement monitoring and real-time monitoring of the tank using the underwater camera or CCTV of the monitoring device according to the different water environment in the growth of the flounder It is characterized in that it further comprises an early disease prediction and analysis device for analyzing disease diagnosis and prescription records in connection with information, food activity information, activity information, breeding information, feed rate statistics, standard growth.
  • the flounder disease prevention system through the acoustic and image analysis according to the present invention is segmented according to the amount of activity on the basis of the flounder status information on the audio signal and image information analyzed during the movement and leap of the flounder in the farm provided by the management server Check the flounder disease signs based on the level values, or compare and analyze the standard growth information and the actual growth information stored in the standard growth database to check the abnormality of the tank based on the feed intake and the difference according to the growth rate.
  • a user who can check the status information of the monitoring device, the presence or absence of the device of the audio analysis and video analysis provided from the management server at a distance through the communication network by operating an application (app) for the disease prevention control of the flounder Characterized in that it further comprises a terminal.
  • the flounder disease prevention system through the acoustic and image analysis according to the present invention
  • the voice analysis activity monitoring device using the ecological habits leap close to the surface during the hunting of the flounder prey to the sound generated by gapping the sound generated when jumping over the water surface
  • the level of the movement according to the activity of the flounder is determined, and the range is specified to monitor the presence of abnormality according to the activity level according to the level. It may be configured to further include an activity monitoring device It features.
  • the flounder disease prevention system through sound and image analysis according to an embodiment of the present invention, by extracting the sound and image information according to the habit of the flounder in the culture tank to feed the food activity, activity amount, standard growth database information Comprehensive analysis detects signs of the disease and provides the tank with the effect of early observation and response to the disease.
  • the flounder disease prevention system through the acoustic and image analysis according to an embodiment of the present invention, by capturing the sound generated during the leap when hunting for the flounder to set the food activity level through voice analysis and abnormality of the disease when the reference level or less Judgment by signs, or by monitoring the frequency of abnormal symptoms of the flounder according to the frequency of coming up over the surface of the flounder through CCTV provides an effect that can quickly respond.
  • the flounder disease prevention system through the acoustic and image analysis according to an embodiment of the present invention, measuring a variety of data such as environmental information, feed amount statistics, food activity level, activity information, breeding information of the tank according to the flounder culture Based on the analysis, the disease status can be identified and provided to experts to detect and diagnose diseases of fish from a remote location, so that data on disease history and prescriptions can be collected, and a large number of environmental and breeding information and fish object status information. In addition, through the establishment of disease diagnosis data through this, it is possible to generate standard data for other diseases.
  • the flounder disease prevention system through the acoustic and image analysis according to an embodiment of the present invention, the voice recognition and the object size through the image analysis in accordance with the detection of the amount of activity through the acoustic analysis and image information on the feeding of the flounder
  • a standard growth database of cultured flounder can be provided to provide efficient flounder disease prevention in the farm environment with the appropriate feeding amount per flat and the standard weight gain for a certain period.
  • the flounder disease prevention system through the acoustic and image analysis according to an embodiment of the present invention, by capturing the sound of the flounder jumping at the same time feeding the feed through the exact value of the feeding activity to determine the consistent criteria for feeding It is possible to calculate feed amount through presenting and feeding activity, and to provide efficient farm management through automatic feed amount data collection.
  • FIG. 1 is a view showing a configuration of the flounder disease prevention system through the acoustic and image analysis according to an embodiment of the present invention.
  • FIG. 2 is a state diagram of the flounder disease prevention system through sound and image analysis according to the present invention
  • FIG. 3 is a detailed configuration of the monitoring device of the flounder disease prevention system through the sound and image analysis according to FIG.
  • FIG. 4 is a block diagram showing the detailed configuration of the voice analysis activity amount device of the flounder disease prevention system through the acoustic and image analysis according to the present invention
  • FIG. 5 is a block diagram showing the detailed configuration of the image analysis activity monitoring device of the flounder disease prevention system through the sound and image analysis according to the present invention
  • the component when one component 'transmits' data or a signal to another component, the component may directly transmit the data or signal to another component, and through at least one other component. This means that data or signals can be transmitted to other components.
  • FIG. 1 shows a configuration of the flounder disease prevention system through sound and image analysis according to an embodiment of the present invention
  • Figure 2 shows a state diagram of the flounder disease prevention system through sound and image analysis according to the present invention.
  • the monitoring device 100 Early disease prediction and analysis device 200, management server 300, standard growth database 400, remote medical care device 500, remote management device 600, communication network 700, manager terminal 800 and user terminal 900.
  • the monitoring device 100 uses an ecological habit to leap near the surface of the flounder when hunting for prey to catch the sound generated when jumping over the water for voice analysis, or to monitor the water tank through an underwater CCTV camera in the tank. It is configured to monitor the activity of the flounder by tracking when abnormal symptoms occur.
  • the disease early prediction and analysis device 200 is based on the image collected through the movement monitoring and real-time monitoring of the water tank using the underwater camera or CCTV of the monitoring device 100, the other water environment information, food for the flounder growth Analyze disease diagnosis and prescription records by linking activity information, activity information, breeding information, feed statistics and standard growth.
  • the management server 300 is interlocked with the monitoring device 100, disease early prediction and analysis device 200, standard growth database 400 and remote medical device 500 and the communication network 700 provided in the fish farm tank Analysis of feeding activity analysis information through the analysis, image information of the flounder activity according to abnormal symptoms, the state information of the disease diagnosis and prescription records, or the sound analyzed during the movement and leap of the flounder according to the operation of each device for the prevention of flounder disease
  • the feeding amount is provided according to the feeding activity measurement value of the feeding time, the feeding amount, and the feeding count data
  • the voice analysis activity monitoring device 110 and The administrator analyzes the abnormality according to the status information through the voice analysis and the activity analysis in consideration of the object size by subdividing the activity according to the operation of the video analysis activity monitoring device 130. To provide that information.
  • the standard growth database 400 establishes the appropriate feed amount information for each flat body and monthly standard flounder weight increase information according to the water temperature by setting the water temperature of the tank and the reference value of DO to prevent the disease of the flounder through acoustic analysis and image analysis. By comparing and analyzing the standard growth information and the actual growth information, the special signs of the disease are sent out according to the difference between the feed intake and growth by growth rate.
  • the remote medical apparatus 500 is interlocked with the management server 200 when a suspicious object is generated through the sound and image analysis of the monitoring device 100 transmitted from the management server 200 through voice and video analysis.
  • a suspicious object is generated through the sound and image analysis of the monitoring device 100 transmitted from the management server 200 through voice and video analysis.
  • the remote management device 600 is interlocked with the remote medical device 500 when the additional diagnosis, prescription through the intensive observation through the remote control and photographing the state of the flounder through the remote medical device 500 is required.
  • the manager should be dispatched and managed through the preparation of findings on the condition of the flounder, the contents of request, the information on the farm, and the information on the tank.
  • the communication network 700 is linked to the food activity monitoring device 100, the management server 300, the manager terminal 600 and the user terminal 700, respectively, through the sound and image analysis of the disease according to the flounder It will provide a communication network for prevention.
  • the communication network 700 is a communication network which is a high-speed network of a large communication network capable of large capacity, long distance voice and data services, and may be a next-generation wired and wireless network for providing Internet or high-speed multimedia service.
  • the communication network 700 may be a synchronous mobile communication network or an asynchronous mobile communication network.
  • An example of an asynchronous mobile communication network is a communication network of a wideband code division multiple access (WCDMA) scheme.
  • WCDMA wideband code division multiple access
  • the communication network 700 may include a Radio Network Controller (RNC).
  • RNC Radio Network Controller
  • the WCDMA network may be an IP network based on a next generation communication network such as 3G LTE network, 4G network, or other IP.
  • the communication network 700 serves to mutually transmit signals and data between the monitoring apparatus 100, the management server 300, the manager terminal 800, the user terminal 900, and other systems.
  • the manager terminal 800 is linked with the communication network 700 according to the amount of activity based on the status information of the flounder analyzed for the audio signal and image information analyzed during the movement and leap of the flounder in the farm provided by the management server 200 Confirm the disease signs of the flounder based on the granular level value, or compare the standard growth information and the actual growth information stored in the standard growth database 400 and compare the feed intake by the growth rate and the difference according to the growth of the tank. Check for abnormalities.
  • the voice and image information is extracted through the monitoring device 100 and the information stored in the standard growth database 400 is analyzed in accordance with the disease early prediction and analysis device 200 in order to perform the corresponding analysis.
  • the transferred information to the management server 300.
  • the fish farm can extract the activity information of the fed food through the directional microphone, it is possible to extract the food activity information through the CCTV or underwater camera installed on the fish tank.
  • the disease prevention system analyzes the input food activity information, activity information, and standard growth database information comprehensively to determine whether a symptom of a disease is detected. In this case, early diagnosis of disease abnormality may be applied for each tank unit.
  • a symptom of a disease is detected, a warning is given to a fisheries disease expert, and a fisheries disease expert checks whether the disease is infected based on the reported information. Fisheries disease managers can visit the site and diagnose and prescribe the fishery disease manager near the target farm.
  • the manager of the manager terminal 800 or the user terminal 900 may be treated early in the tank based on the prescription of the fisheries disease manager, the early prediction and coping of the disease is possible.
  • FIG. 3 shows a detailed configuration of the monitoring device 100 of the flounder disease prevention system through the sound and image analysis according to the present invention, the monitoring device 100 according to the present invention is large, the voice analysis activity monitoring device 110, Image analysis activity monitoring device 130 is configured.
  • the voice analysis activity monitoring device 110 by using the ecological habits leap near the surface when hunting the flounder prey to catch the sound generated when jumping over the water to calculate the level of food activity in consideration of the individual size through the voice analysis and the standard It is configured to determine whether the feed amount appropriate for each object size stored in the growth database 400 is transmitted to the management server 300 when an abnormal symptom occurs.
  • the image analysis activity monitoring device 130 monitors the water tank through a CCTV camera or an underwater camera in the water tank to determine the level of movement according to the amount of activity of the flounder according to the feeding rate and specify the range according to the activity amount according to the level. It monitors whether there is any abnormality and supplies the captured image information to the management server.
  • FIG. 4 is a block diagram showing a detailed configuration of the audio analysis activity monitoring device 110 of the flounder disease prevention system through the sound and image analysis according to the present invention, the audio analysis activity monitoring device 110 according to the present invention
  • the control unit 111, the sound source collection unit 112, the pattern extraction unit 113, the feed amount calculation unit 114, the classification unit 115, the adjusting unit 116 and the transceiver unit 117 is configured to include. .
  • the control unit 111 is the prey of the flounder Using the ecological habits that leap closer to the surface during hunting, the sound generated when leaping over the surface of the water is captured, and the food activity level is calculated by considering the individual size through time-based voice analysis, and the food activity data classified by individual size is collected. By determining whether the feed amount is appropriate for each object size stored in 400 and controlling the overall operation of the voice analysis activity monitoring device 110 to be transmitted to the management server 300 when an abnormal symptom occurs.
  • the sound source collecting unit 112 collects the sound source according to the size and time of the flounder by capturing the sound generated during sleep leap according to the ecological habits of the flounder according to the control signal of the control unit 111, and the pattern extraction unit 113. ) Extracts the pattern according to the size of the flounder and the sound generated during the leap based on the sound source collected by the sound source collecting unit 112 in response to the control signal of the control unit 111.
  • the feed amount calculation unit 114 is based on the pattern collected and extracted by the sound source collection unit 112 in accordance with the control signal of the control unit 111 based on the size of the flounder by using the feeding activity of the flounder and Taking into account the activity of the leap, the feed rate is automatically calculated and set through the display.
  • the sorting unit 115 operates according to a control signal of the control unit 111 and is fed in consideration of the activity according to the movement and leap of the flounder based on the feed amount calculated and calculated by the feed amount calculating unit 114. It is configured to collect data of activity and level in stages from step 1 to step 10 according to the activity. In this case, the first stage is the lowest stage, the tenth stage is classified as the best, and if the food activity is less than five stages, it is judged as an abnormal symptom of the disease.
  • the control unit 116 operates according to the control signal of the control unit 111, the leveling unit calculating section 114 to calculate the leveling by considering the size of the object in order to calculate the amount of feeding to automatically calculate the size of the individual Allow this to be controlled.
  • the transmission / reception unit 117 is classified in the classification unit 115 in response to the control signal of the control unit 111 and transmits the state information to the management server 300 when determining the status information or abnormality indication according to the feeding activity. Or, it is configured to receive the appropriate feed amount information of the flat according to the disease prevention of the flounder through the voice analysis stored in the standard growth database 400, the standard flounder standard weight increase information per month.
  • FIG. 5 is a block diagram showing a detailed configuration of the image analysis activity monitoring device 130 of the flounder disease prevention system through the sound and image analysis according to the present invention, the image analysis activity monitoring device 130 according to the present invention
  • the microcomputer 131, the image collecting unit 132, the extracting unit 133, the sampling unit 134, the leveling unit 135, the linking unit 136, and the alarm unit 137 are configured to be included.
  • FIG. 5 illustrates a detailed configuration and operation of the image analysis activity monitoring device 130 of the flounder disease prevention system through sound and image analysis according to the present invention.
  • the image collecting unit 132 is a response to the control signal of the microcomputer 131 through the CCTV camera or the underwater camera installed in the tank according to the ecological habits of the flounder according to the movement of the water, the image data according to the movement activity in the water Capture and collect.
  • the extractor 133 extracts activity by detecting changes in the flounder in the tank and detecting objects in order to collect the flounder in the image collecting unit 132 according to the control signal of the microcomputer 131. Done.
  • the sampling unit 134 filters the wave movement of the tank or detects and quantifies moving objects in order to detect changes in the tank and detect objects in the tank according to the control signal of the microcomputer 131. According to the information, it is to be used as a detection signal for the extraction of the flounder activity.
  • the leveling unit 135 collects the amount of activity check image data according to the image information of the movement of the flounder imaged according to the activity of the flounder in the tank according to the control signal of the microcomputer 131 and leveling step by step in consideration of the individual size Be sure to check for signs of abnormality.
  • the first stage is the lowest stage and the tenth stage is classified as the best and the activity is judged as an abnormal symptom of the disease if the activity appears below the fifth stage.
  • the interlocking unit 136 is classified in the leveling unit 135 in response to the control signal of the microcomputer 131 and transmits the corresponding state information to the management server 300 when determining the state information or abnormal indication according to movement and activity. Or send a specialized institution to send out abnormal signs for the name according to the difference in growth by comparing the growth information of the growth and the growth information stored in the standard growth database 400 and the standard growth database (400)
  • the alarm unit 127 is a management server (200), administrator terminal (800), when abnormal signs occur according to the movement and activity of the flounder in the tank sent through the linkage unit 136 according to the control signal of the microcomputer 131,
  • the user terminal 900 is configured to send an alarm signal sound according to the state.
  • control unit 112 sound source collection unit
  • microcomputer 132 video collection unit
  • leveling unit 136 linkage

Abstract

The present invention relates to a system for preventing diseases of flatfish through sound and image analysis. The present invention comprises: a monitoring device for performing voice analysis by capturing sound generated when flatfish leap above water, through the ecological habits of flatfish leaping close to the surface of the water when hunting for food, or for monitoring a water tank through an underwater CCTV camera within the water tank so as to monitor the amount of flatfish activity through tracking if abnormal signs occur in collected images; a management server for storing food activity analysis information through voice analysis provided from a fish farm water tank, image information of flatfish activities in accordance with abnormal signs, and state information of disease diagnosis and prescription histories, or for allowing a food intake amount to be provided according to food activity measurement values of data such as feeding time, food intake amount, and the number of feeding times, by using level values and the range thereof with respect to the movements of flatfish for a sound signal analyzed when the flatfish move and leap in accordance with the driving of respective devices for preventing disease of flatfish; a remote therapy device linked with the management server and remotely moving, through voice and image analysis, CCTVs of various water tanks, provided within a fish farm, to a place in which individuals suspected of having a disease arise through sound and image analysis, of the monitoring device, transmitted from the management server, thereby making a diagnosis for preventing disease by intensively observing the condition of flatfish through photograph capturing and remote control functions of moving, rotating, and zooming; and a remote management device linked with the remote therapy device and dispatching a corresponding manager if an additional diagnosis and prescription are necessary according to the intensive observation through the remote controlling and the photograph capturing, by the remote therapy device, for the condition of the flatfish, thereby managing flatfish through examination references for the condition of flatfish, requested details, fish farm information, and the recording of abnormality of water tank information. Therefore, the present invention provides advantages of: measuring and analyzing various data such as environmental information of a water tank in accordance with flatfish farming, statistics on food intake amount, food activity levels, activity information, and breeding information so as to identify whether flatfish have diseases on the basis of the various data such that the identified information is provided to an expert, thereby enabling data of disease histories and prescription details to be collected since disease of fish can be remotely detected and diagnosed; and generating standard data on other diseases by constructing a plurality of pieces of environment and breeding information, state information of fish individuals, and disease diagnosis data therethrough.

Description

음향 및 영상분석을 통한 넙치 질병 예방 시스템Flounder disease prevention system through acoustic and image analysis
본 발명은 음향 및 영상분석을 통한 넙치 질병 예방 시스템에 관한 것으로, 보다 구체적으로는, 양식수조에서 넙치의 습성에 따른 음향과 영상 정보를 추출하여 급이된 먹이에 따른 먹이활성도, 활동량, 표준생장데이터베이스 정보를 종합적으로 분석하여 질병의 징후를 감지하여 해당 수조에 질병의 조기 예찰 및 대처가 가능한 음향 및 영상분석을 통한 넙치 질병 예방 시스템에 관한 것이다.The present invention relates to a flounder disease prevention system through sound and image analysis, and more specifically, to extract the sound and image information according to the habit of the flounder in aquaculture tank, the feed activity, the amount of activity, the standard growth The present invention relates to a flounder disease prevention system through sound and image analysis, which can analyze database information comprehensively, detect signs of disease, and enable early observation and coping of diseases in a corresponding tank.
또한, 본 발명은 넙치의 먹이 사냥시 도약시 발생하는 소리를 갭쳐하여 음성분석을 통해 먹이활성도 레벨을 설정하고 기준 레벨 이하시 질병의 이상 징후로 판단하거나, CCTV를 통해 넙치의 수면 위로 올라오는 빈도에 따라 질병의 이상 징후 여부를 관찰하여 추적감시하여 신속히 대응할 수 있는 음향 및 영상분석을 통한 넙치 질병 예방 시스템에 관한 것이다.In addition, the present invention is to catch the sound generated during the leap when hunting the flounder to set the food activity level through the voice analysis and judge the abnormal symptoms of the disease when the reference level or below, or the frequency of coming up on the surface of the flounder through CCTV Accordingly, the present invention relates to a flounder disease prevention system through acoustic and image analysis that can be quickly responded by observing abnormal symptoms of a disease.
넙치(paralichthys olivaceus)는 척삭동물문 조기강 가자미목 넙치과에 속하는 포식성 어류로 주로 작은 어류, 갑각류, 새우류, 갯가재류를 주 먹이로 하며, 저서성 어류로 대륙붕(수심 10 ~ 200 m) 주변의 모래 바닥에 주로 서식하는데, 몸은 바다 밑 환경에 적응하여 납작하며, 몸색깔은 모래바닥과 잘 구분이 되지 않는 황갈색의 보호색을 띤다. 몸집이 큰 편이어서 1m 정도가 되는 것도 있으며 보통 암컷이 수컷에 비해 10cm 정도 더 크다. 몸의 가장자리에는 다소 단단한 지느러미가 있으며, 등쪽에는 77 ~ 81개, 배쪽에는 59 ~ 61개 정도의 뼈로 지느러미가 나와 있다. 비늘이 매우 작은 편이며 가슴지느러미 부근에서 시작되는 옆줄은 107 ~ 120 여 개의 비늘로 이루어져있다. 입이 크고 날카로운 이빨이 발달해 있으며, 아래턱이 위턱에 비해 앞으로 튀어나와 있다.The halibut (paralichthys olivaceus) is a predatory fish belonging to the predator's early river flounder flounder family. It lives mainly in the sea, and the body adapts to the environment under the sea and is flat. The body color is yellowish brown, which is indistinguishable from the sandy bottom. It is large in size and is about 1m long. Usually, females are about 10cm larger than males. The edge of the body has a somewhat hard fin, with 77-81 on the dorsal side and 59-61 on the dorsal side. The scales are very small and the lateral line starting near the pectoral fin consists of 107-120 scales. The mouth is large and has sharp teeth, and the lower jaw sticks forward compared to the upper jaw.
보통 깊이가 200m를 넘지 않는 바다 밑 모래바닥에서 생활하며, 계절에 따라 장소를 옮겨가며 먹이를 찾거나 알을 낳는다. 우리나라 서해안에 서식하는 넙치는 가을과 겨울 사이에 남쪽으로 무리를 지어 이동하여 겨울을 보내고, 다시 봄이 되면 북쪽으로 이동하여 짝짓기와 산란이 이루어진다. 짝짓기를 마친 암컷은 알을 낳기에 알맞은 장소로 옮겨가서 약 40 ~ 50만 개의 알을 낳는다. They usually live on the sandy bottom of the sea, which does not exceed 200m in depth, and change their seasons to find food or lay eggs. The flounder, which inhabit the west coast of Korea, flocks to the south and spends the winter between autumn and winter, and when spring comes again, it moves north to mating and spawning. After mating, the females move to a suitable place for laying eggs and lay about 40 to 500,000 eggs.
산란 후 2~3일 뒤에 깨어난 어린 넙치는 수심이 얕은 바닷물에 떠다니면서 생활을 하다가, 시간이 지나 좀더 자란 치어기가 되면 바다 밑바닥 생활을 시작한다. 어린 시기에는 작은 새우류나 다른 물고기의 치어를 먹으며 살다가 몸집이 불어나면 갑각류나 연체동물류 또는 작은 어류를 잡아먹고 산다. 넙치의 특징인 한쪽으로 몰려있는 눈은 어린 시기에는 나타나지 않다가, 자라면서 점차 오른쪽 눈이 왼쪽으로 이동한다.A young flounder that wakes up two or three days after spawning floats in shallow waters and begins to grow at the bottom of the sea when it grows older. In childhood, they eat small shrimps or other fish, and when they grow, they eat crustaceans, mollusks, or small fish. One side of the flounder, which is a characteristic of flounder, does not appear in childhood, but as it grows, the right eye gradually moves to the left.
넙치는 우리나라 전 연안에 서식하고 있으며 광어로도 불리는 어종으로 현재 우리나라 양식어류의 절반 이상을 차지하고 있다(You, 2003). 콜라겐이 적절히 함유되어 있어 육조직감이 좋을 뿐만 아니라 지방질이 적어 풍미 또한 우수하여 우리나라를 포함한 생선회를 식용하는 국가의 소비자들이 선호하고 있는 횟감 중의 하나이다(Jang et al, 2009). Flounder lives all over the coast of Korea and is also called flatfish, and currently accounts for more than half of our farmed fish (You, 2003). Not only does it have a good texture, but it is also low in fat, so it is excellent in flavor. It is one of the most preferred sashimi for consumers who eat sashimi including Korea (Jang et al, 2009).
최근 양식기술이 발달하면서, 양식 넙치는 지식경제부에서 육성하고 있는 세계일류상품지정 품목이며, 농림수산식품부에서 추진하는 농림수산경쟁력 강화를 위한 5대 미래전략과제의 하나인 품목별 대표조직 육성정책 추진 품목 중 수산업을 대표하는 품목에 해당한다. 또한 연중 입식 및 출하가 가능한 고도의 양식기술이 정립되어 있다.With the recent development of aquaculture technology, aquaculture flounder is a world-class product designated item nurtured by the Ministry of Knowledge Economy, and a policy to promote representative organizations by item, which is one of the five future strategic tasks for strengthening the competitiveness of agriculture, forestry and fisheries promoted by the Ministry of Agriculture, Forestry and Fisheries. Corresponds to the items representing the fisheries industry. In addition, advanced aquaculture technologies are established that can be stocked and shipped throughout the year.
넙치의 번식생리특성과 관련해서는 제주도 연안에 서식하는 자연상태의 넙치의 산란시기는 4 ~ 6월이며, 7 ~ 9월에는 생식소가 휴지기 상태가 되는 것으로 알려져 있다. 제주도 연안의 경우 3월 초부터 9월 말까지는 장일광주기를 가지며, 9월 말부터 이듬해 3월 초까지는 단일광주기를 가지기 때문에, 넙치의 성성숙은 단일광주기에서 장일광주기로 바뀌는 시기에, 생식활동(산란시기)은 장일광주기 시기에 일어나며, 다시 단일광주기가 되기 전에 생식기는 휴지기 상태로 된다고 볼 수 있다.In relation to the reproductive physiology of the flounder, the spawning season of the flounder in the natural state of Jeju Island is known to be in the resting state in April and June. Since the coast of Jeju Island has a long daylight cycle from early March to the end of September, and a single light cycle from late September to early March, the maturity of the flounder reproductive activity during the transition from single light cycle to long day cycle. The spawning phase occurs during the long-daylight cycle and the genitals are at rest before the single-light cycle.
제주도 해안선은 총 253㎞로서 대부분이 화산암으로 구성되어 있고 각종 해조류가 풍부하여 자치어의 먹이생물 생태계가 자연적으로 형성되면서 온대성 해산어류 산란장 및 월동장으로서 매우 중요한 위치를 차지하고 있다. The coastline of Jeju Island is 253km in total and is composed mostly of volcanic rocks, and it is rich in various algae, so it has a very important position as a spawning ground and wintering ground for temperate marine fish.
산업시설에 의한 오염원이 적을 뿐 아니라 겨울철 최저수온이 12 이상, 겨울철 최고 수온이 28 이하가 유지되어 온수성 어류 양식이 아주 좋은 적지라 할 수 있다.Not only is there a small source of pollution from industrial facilities, but the minimum water temperature in winter is 12 and the maximum water temperature in winter is 28 or less.
그러나, 넙치 양식의 좋은 환경을 가지고 있지만, 활동성 및 이상징후에 따른 질병 예방을 위한 통일된 기준이 없고, 육안 또는 경험적인 요소를 통해 질병 예후를 판단함으로써 효율적인 넙치의 관리가 제한되는데, 본 발명은 음향 및 영상 분석을 통해 넙치 질병 관리를 위한 기술을 제시하고자 한다.However, although there is a good environment of flounder farming, there is no unified standard for preventing disease due to activity and abnormal symptoms, and efficient flounder management is limited by judging disease prognosis through visual or empirical factors. The purpose of this study is to suggest techniques for the management of flounder disease through acoustic and visual analysis.
본 발명은 상기의 문제점을 해결하기 위한 것으로, 양식수조에서 넙치의 습성에 따른 음향과 영상 정보를 추출하여 급이된 먹이에 따른 먹이활성도, 활동량, 표준생장데이터베이스 정보를 종합적으로 분석하여 질병의 징후를 감지하여 해당 수조에 질병의 조기 예찰 및 대처가 가능한 음향 및 영상분석을 통한 넙치 질병 예방 시스템을 제공하기 위한 것이다.The present invention is to solve the above problems, by extracting the sound and image information according to the habit of the flounder in aquaculture tank comprehensively analyze the food activity, activity amount, standard growth database information according to the fed food symptoms of disease It is to provide a flounder disease prevention system through the acoustic and image analysis that can detect and cope with the disease early detection and response to the tank.
또한, 본 발명은 넙치의 먹이 사냥시 도약시 발생하는 소리를 갭쳐하여 음성분석을 통해 먹이활성도 레벨을 설정하고 기준 레벨 이하시 질병의 이상 징후로 판단하거나, CCTV를 통해 넙치의 수면 위로 올라오는 빈도에 따라 질병의 이상 징후 여부를 관찰하여 추적감시하여 신속히 대응할 수 있는 음향 및 영상분석을 통한 넙치 질병 예방 시스템을 제공하기 위한 것이다.In addition, the present invention is to catch the sound generated during the leap when hunting the flounder to set the food activity level through the voice analysis and judge the abnormal symptoms of the disease when the reference level or below, or the frequency of coming up on the surface of the flounder through CCTV Accordingly, to provide a flounder disease prevention system through the acoustic and image analysis that can be quickly responded to by monitoring and monitoring the abnormal signs of the disease.
그러나 본 발명의 목적들은 상기에 언급된 목적으로 제한되지 않으며, 언급되지 않은 또 다른 목적들은 아래의 기재로부터 당업자에게 명확하게 이해될 수 있을 것이다.However, the objects of the present invention are not limited to the above-mentioned objects, and other objects not mentioned will be clearly understood by those skilled in the art from the following description.
상기의 목적을 달성하기 위해 본 발명의 실시예에 따른 음향 및 영상분석을 통한 넙치 질병 예방 시스템은, 넙치의 먹이감 사냥시 수면 가까이 도약하는 생태 습성을 이용하여 수면 위로 도약 시 발생하는 소리를 갭쳐하여 음성분석을 하거나, 수조 내 수중 CCTV 카메라를 통해 수조를 모니터링하여 수집된 영상의 이상 징후 발생시 추적을 통해 넙치의 활동량을 감시하는 감시 장치; 양식장 수조에서 제공되는 음성분석을 통한 먹이 활성도 분석정보, 이상 징후에 따른 넙치 활동량의 영상 정보, 질병 진단 및 처방기록의 상태정보를 저장하거나, 넙치 질병 예방을 위한 각 장치의 구동에 따라 넙치의 이동 및 도약시 분석된 음향신호에 대한 업치의 움직임의 레벨값 및 그 범위에 따라 급이 시간, 급이량, 급이 횟수의 데이터의 먹이활성도 측정값에 따라 급이량이 제공되도록 하는 관리서버; 상기 관리서버와 연동되어 음성과 영상분석을 통해 상기 관리서버에서 전송되는 감시장치의 음향 및 영상분석을 통해 질병여부의 의심 개체 발생시 원격에서 양식장 내 구비된 여러수조의 CCTV를 해당 개체가 있는 곳으로 이동하여 이동, 회전, 줌의 원격제어 기능과 사진촬영을 통해 넙치의 상태를 집중 관찰하여 질병 예방을 위한 진단하는 원격진료장치; 및 상기 원격진료 장치와 연동되어 상기 원격진료 장치를 통해 넙치의 상태에 대한 원격제어 및 사진촬영을 통해 집중 관찰을 통해 추가 진단, 처방이 필요할 경우 해당 관리자를 파견하여 넙치 상태에 대한 소견서, 의뢰내용, 양식장 정보, 수조 정보의 이상 유무 작성을 통해 관리하는 원격관리장치;를 포함하여 구성되는 것을 특징으로 한다.In order to achieve the above object, the flounder disease prevention system through the acoustic and image analysis according to the embodiment of the present invention, by using the ecological habits to jump near the water when hunting the prey of the flounder by gapping the sound generated when jumping over the water A monitoring device that monitors the amount of activity of the flounder by analyzing or monitoring the tank through an underwater CCTV camera in the tank to track the occurrence of abnormal signs of the collected images; Food activity analysis information through voice analysis provided in the aquarium, storage of the flounder activity information according to abnormal symptoms, the status information of the disease diagnosis and prescription records, or the movement of the flounder according to the operation of each device for the prevention of flounder disease And a management server configured to provide a feeding amount according to a feeding activity measurement value of a feeding time, a feeding amount, and a feeding number of data according to a level value and a range of a movement of the up-value with respect to the analyzed acoustic signal when jumping. Through the sound and video analysis linked with the management server, through the sound and video analysis of the monitoring device transmitted from the management server, when suspected disease occurrence occurs, remotely located several trillions of CCTVs in the farm Remote medical device for diagnosing disease prevention by intensively observing the condition of the flounder through the remote control function and photography of the movement, rotation, zoom; In addition, the remote medical device in conjunction with the remote medical device through the remote control of the state of the flounder through the intensive observation through the photographing and additional diagnosis and prescription is required by dispatching the relevant managers for the condition of the flounder, request details It is characterized in that the configuration, including; a farm management information, remote management device to manage by filling the presence or absence of information on the tank.
이때, 본 발명에 따른 음향 및 영상분석을 통한 넙치 질병 예방 시스템은 상기 감시장치의 수중 카메라 또는 CCTV를 활용한 전수조 이동 모니터링 및 실시간 감시를 통해 수집된 영상을 기초로 넙치의 생육에 다른 수질환경 정보, 먹이활성도 정보, 활동량 정보, 사육정보, 급이량 통계, 표준 생장을 연계하여 질병 진단 및 처방기록을 분석하는 질병조기 예찰 및 분석장치를 더 포함하는 것을 특징으로 한다.At this time, the flounder disease prevention system through the sound and image analysis according to the present invention is based on the image collected through the movement monitoring and real-time monitoring of the tank using the underwater camera or CCTV of the monitoring device according to the different water environment in the growth of the flounder It is characterized in that it further comprises an early disease prediction and analysis device for analyzing disease diagnosis and prescription records in connection with information, food activity information, activity information, breeding information, feed rate statistics, standard growth.
또한, 본 발명에 따른 음향 및 영상분석을 통한 넙치 질병 예방 시스템은 관리서버에서 제공되는 양식장 내 넙치의 이동 및 도약시 분석된 음향신호 및 영상 정보에 대한 넙치의 상태 정보를 기초로 활동량에 따른 세분화된 레벨값을 기초로 넙치의 질병 징후를 확인하거나, 표준생장 데이터베이스에 저장된 표준 생장정보와 실제 성장 정보를 비교 분석하여 성장 비율별 급이 섭취량 및 성장에 따른 차이를 기초로 수조의 이상 여부를 확인하는 관리자 단말, 넙치의 질병 예방 제어를 위한 어플(app)를 구동하여 상기 통신망을 통해 원거리에서 관리서버에서 제공되는 음성 분석 및 영상 분석의 감시 장치의 상태정보, 장치의 이상 유무를 확인할 수 있는 사용자 단말을 더 포함하여 구성되는 것을 특징으로 한다.In addition, the flounder disease prevention system through the acoustic and image analysis according to the present invention is segmented according to the amount of activity on the basis of the flounder status information on the audio signal and image information analyzed during the movement and leap of the flounder in the farm provided by the management server Check the flounder disease signs based on the level values, or compare and analyze the standard growth information and the actual growth information stored in the standard growth database to check the abnormality of the tank based on the feed intake and the difference according to the growth rate. A user who can check the status information of the monitoring device, the presence or absence of the device of the audio analysis and video analysis provided from the management server at a distance through the communication network by operating an application (app) for the disease prevention control of the flounder Characterized in that it further comprises a terminal.
또한, 본 발명에 따른 음향 및 영상분석을 통한 넙치 질병 예방 시스템은 상기 음성분석 활동량 감시 장치는 넙치의 먹이감 사냥시 수면 가까이 도약하는 생태 습성을 이용하여 수면 위로 도약 시 발생하는 소리를 갭쳐하여 음성분석을 통해 개체크기를 고려하여 먹이활성도 레벨을 산정하고 상기 표준생장 데이터베이스에 저장된 개체 크기별 급이량 적정여부를 파악하여 이상 징후 발생시 관리서버로 전송하는 음성분석 활동량 감시 장치, 수조 내 CCTV 카메라 또는 수중 카메라를 통해 수조를 모니터링하여 먹이 급이에 따라 넙치의 활동량에 따른 움직임의 레벨을 정하고 그 범위를 지정하여 레벨에 따른 활동량 여부에 따라 이상 징후 여부를 감시하여 촬상된 영상정보를 관리서버로 공급하는 영상분석 활동량 감시장치를 더 포함하여 구성되는 것을 특징으로 한다.In addition, the flounder disease prevention system through the acoustic and image analysis according to the present invention, the voice analysis activity monitoring device using the ecological habits leap close to the surface during the hunting of the flounder prey to the sound generated by gapping the sound generated when jumping over the water surface Calculate the food activity level in consideration of the individual size, and determine whether the feed amount is appropriate for each individual size stored in the standard growth database, and transmit the voice analysis activity monitoring device, CCTV camera or underwater camera to the management server when abnormal symptoms occur. By monitoring the tank through the feeding level, the level of the movement according to the activity of the flounder is determined, and the range is specified to monitor the presence of abnormality according to the activity level according to the level. It may be configured to further include an activity monitoring device It features.
본 발명의 실시예에 따른 음향 및 영상분석을 통한 넙치 질병 예방 시스템은, 양식수조에서 넙치의 습성에 따른 음향과 영상 정보를 추출하여 급이된 먹이에 따른 먹이활성도, 활동량, 표준생장데이터베이스 정보를 종합적으로 분석하여 질병의 징후를 감지하여 해당 수조에 질병의 조기 예찰 및 대처가 가능한 효과를 제공한다.The flounder disease prevention system through sound and image analysis according to an embodiment of the present invention, by extracting the sound and image information according to the habit of the flounder in the culture tank to feed the food activity, activity amount, standard growth database information Comprehensive analysis detects signs of the disease and provides the tank with the effect of early observation and response to the disease.
또한, 본 발명의 실시예에 따른 음향 및 영상분석을 통한 넙치 질병 예방 시스템은, 넙치의 먹이 사냥시 도약시 발생하는 소리를 갭쳐하여 음성분석을 통해 먹이활성도 레벨을 설정하고 기준 레벨 이하시 질병의 이상 징후로 판단하거나, CCTV를 통해 넙치의 수면 위로 올라오는 빈도에 따라 질병의 이상 징후 여부를 관찰하여 추적감시하여 신속히 대응할 수 있는 효과를 제공한다.In addition, the flounder disease prevention system through the acoustic and image analysis according to an embodiment of the present invention, by capturing the sound generated during the leap when hunting for the flounder to set the food activity level through voice analysis and abnormality of the disease when the reference level or less Judgment by signs, or by monitoring the frequency of abnormal symptoms of the flounder according to the frequency of coming up over the surface of the flounder through CCTV provides an effect that can quickly respond.
또한, 본 발명의 실시예에 따른 음향 및 영상분석을 통한 넙치 질병 예방 시스템은, 넙치 양식에 따른 수조의 환경정보, 급이량 통계, 먹이활성도 레벨, 활동량 정보, 사육정보 등 다양한 데이터를 측정하고 분석하여 이를 토대로 질병여부를 파악해서 전문가에게 제공하여 원격에서 어류에 대한 질병을 감지, 진단이 가능하여 질병이력과 처방내역의 데이터를 수집이 가능하고 다수의 환경 및 사육정보와 어류 개체의 상태정보, 이를 통한 질병진단 데이터가 구축을 통해 다른 질병에 대한 표준 데이터 생성이 가능한 효과를 제공한다.In addition, the flounder disease prevention system through the acoustic and image analysis according to an embodiment of the present invention, measuring a variety of data such as environmental information, feed amount statistics, food activity level, activity information, breeding information of the tank according to the flounder culture Based on the analysis, the disease status can be identified and provided to experts to detect and diagnose diseases of fish from a remote location, so that data on disease history and prescriptions can be collected, and a large number of environmental and breeding information and fish object status information. In addition, through the establishment of disease diagnosis data through this, it is possible to generate standard data for other diseases.
또한, 본 발명의 실시예에 따른 음향 및 영상분석을 통한 넙치 질병 예방 시스템은, 넙치의 먹이 급이에 음향분석과 영상정보를 통한 활동량 감지에 따라 영상분석을 통해 객체 크기를 고려하여 음성 인식 및 분석을 통해 양식 넙치의 표준 생장 데이터베이스를 구축함으로써 평체별 적정 급이량 및 일정 기간별 표준 증체량 정보를 통해 양식장 환경에 효율적인 넙치 질병 예방을 제공할 수 있다.In addition, the flounder disease prevention system through the acoustic and image analysis according to an embodiment of the present invention, the voice recognition and the object size through the image analysis in accordance with the detection of the amount of activity through the acoustic analysis and image information on the feeding of the flounder Through analysis, a standard growth database of cultured flounder can be provided to provide efficient flounder disease prevention in the farm environment with the appropriate feeding amount per flat and the standard weight gain for a certain period.
뿐만 아니라, 본 발명의 실시예에 따른 음향 및 영상분석을 통한 넙치 질병 예방 시스템은, 먹이 급이시 동시에 뛰어오르는 넙치의 소리를 캡쳐하여 먹이활성도의 정확한 수치를 통해 급이에 대한 일관된 판단 기준을 제시하고 먹이활성도를 통해 급이량을 산출이 가능하여 자동 급이량 데이터 수집을 통해 효율적인 양식장 관리를 제공할 수 있다.In addition, the flounder disease prevention system through the acoustic and image analysis according to an embodiment of the present invention, by capturing the sound of the flounder jumping at the same time feeding the feed through the exact value of the feeding activity to determine the consistent criteria for feeding It is possible to calculate feed amount through presenting and feeding activity, and to provide efficient farm management through automatic feed amount data collection.
도 1은 본 발명의 실시예에 따른 음향 및 영상분석을 통한 넙치 질병 예방 시스템은 구성도를 나타내는 도면. 1 is a view showing a configuration of the flounder disease prevention system through the acoustic and image analysis according to an embodiment of the present invention.
도 2는 본 발명에 따른 음향 및 영상분석을 통한 넙치 질병 예방 시스템의 상태도Figure 2 is a state diagram of the flounder disease prevention system through sound and image analysis according to the present invention
도 3은 도 1에 따른 음향 및 영상분석을 통한 넙치 질병 예방 시스템은의 감시장치의 세부 구성도3 is a detailed configuration of the monitoring device of the flounder disease prevention system through the sound and image analysis according to FIG.
도 4는 본 발명에 따른 음향 및 영상분석을 통한 넙치 질병 예방 시스템의 음성분석 활동량 장치의 세부구성을 도시한 블록도Figure 4 is a block diagram showing the detailed configuration of the voice analysis activity amount device of the flounder disease prevention system through the acoustic and image analysis according to the present invention
도 5는 본 발명에 따른 음향 및 영상분석을 통한 넙치 질병 예방 시스템의 영상 분석 활동량 감시장치의 세부 구성을 도시한 블록도5 is a block diagram showing the detailed configuration of the image analysis activity monitoring device of the flounder disease prevention system through the sound and image analysis according to the present invention
이하, 본 발명의 바람직한 실시예의 상세한 설명은 첨부된 도면들을 참조하여 설명할 것이다. 하기에서 본 발명을 설명함에 있어서, 관련된 공지 기능 또는 구성에 대한 구체적인 설명이 본 발명의 요지를 불필요하게 흐릴 수 있다고 판단되는 경우에는 그 상세한 설명을 생략할 것이다.Hereinafter, the detailed description of the preferred embodiment of the present invention will be described with reference to the accompanying drawings. In the following description of the present invention, detailed descriptions of well-known functions or configurations will be omitted when it is deemed that they may unnecessarily obscure the subject matter of the present invention.
본 명세서에 있어서는 어느 하나의 구성요소가 다른 구성요소로 데이터 또는 신호를 '전송'하는 경우에는 구성요소는 다른 구성요소로 직접 상기 데이터 또는 신호를 전송할 수 있고, 적어도 하나의 또 다른 구성요소를 통하여 데이터 또는 신호를 다른 구성요소로 전송할 수 있음을 의미한다.In the present specification, when one component 'transmits' data or a signal to another component, the component may directly transmit the data or signal to another component, and through at least one other component. This means that data or signals can be transmitted to other components.
도 1은 본 발명의 실시예에 따른 음향 및 영상분석을 통한 넙치 질병 예방 시스템은 구성도를 나타내고, 도 2는 본 발명에 따른 음향 및 영상분석을 통한 넙치 질병 예방 시스템의 상태도를 나타낸다. 도 1 내지 도 2를 참조하여 본 발명의 음향 및 영상분석을 통한 넙치 질병 예방 시스템의 세부 구성을 살펴보면, 본 발명에 따른 음향 및 영상분석을 통한 넙치 질병 예방 시스템은 크게, 감시장치(100), 질병조기 예찰 및 분석장치(200), 관리서버(300), 표준생장 데이터베이스(400), 원격진료 장치(500), 원격관리 장치(600), 통신망(700), 관리자 단말(800) 및 사용자 단말(900)로 구성된다.1 shows a configuration of the flounder disease prevention system through sound and image analysis according to an embodiment of the present invention, Figure 2 shows a state diagram of the flounder disease prevention system through sound and image analysis according to the present invention. Looking at the detailed configuration of the flounder disease prevention system through the sound and image analysis of the present invention with reference to Figures 1 to 2, the flounder disease prevention system through the sound and image analysis according to the present invention, the monitoring device 100, Early disease prediction and analysis device 200, management server 300, standard growth database 400, remote medical care device 500, remote management device 600, communication network 700, manager terminal 800 and user terminal 900.
상기 감시장치(100)는 넙치의 먹이감 사냥시 수면 가까이 도약하는 생태 습성을 이용하여 수면 위로 도약 시 발생하는 소리를 갭쳐하여 음성분석을 하거나, 수조 내 수중 CCTV 카메라를 통해 수조를 모니터링하여 수집된 영상의 이상 징후 발생시 추적을 통해 넙치의 활동량을 감시하도록 구성된다.The monitoring device 100 uses an ecological habit to leap near the surface of the flounder when hunting for prey to catch the sound generated when jumping over the water for voice analysis, or to monitor the water tank through an underwater CCTV camera in the tank. It is configured to monitor the activity of the flounder by tracking when abnormal symptoms occur.
상기 질병조기 예찰 및 분석장치(200)는 상기 감시장치(100)의 수중 카메라 또는 CCTV를 활용한 전수조 이동 모니터링 및 실시간 감시를 통해 수집된 영상을 기초로 넙치의 생육에 다른 수질환경 정보, 먹이활성도 정보, 활동량 정보, 사육정보, 급이량 통계, 표준 생장을 연계하여 질병 진단 및 처방기록을 분석한다.The disease early prediction and analysis device 200 is based on the image collected through the movement monitoring and real-time monitoring of the water tank using the underwater camera or CCTV of the monitoring device 100, the other water environment information, food for the flounder growth Analyze disease diagnosis and prescription records by linking activity information, activity information, breeding information, feed statistics and standard growth.
상기 관리서버(300)는 감시장치(100), 질병 조기 예찰 및 분석장치(200), 표준생장 데이터베이스(400) 및 원격진료 장치(500)와 통신망(700)으로 연동되어 양식장 수조에서 제공되는 음성분석을 통한 먹이 활성도 분석정보, 이상 징후에 따른 넙치 활동량의 영상 정보, 질병 진단 및 처방기록의 상태정보를 저장하거나, 넙치 질병 예방을 위한 각 장치의 구동에 따라 넙치의 이동 및 도약시 분석된 음향신호에 대한 업치의 움직임의 레벨값 및 그 범위에 따라 급이 시간, 급이량, 급이 횟수의 데이터의 먹이활성도 측정값에 따라 급이량이 제공되도록 하고, 음성분석 활동량 감시 장치(110) 및 영상 분석 활동량 감시장치(130)의 동작여부에 따른 활성도를 세분화하여 개체 크기를 고려한 음성분석, 활동량 분석을 통해 상태 정보에 따라 이상 여부를 관리자 또는 사용자에게 해당 정보를 제공한다. The management server 300 is interlocked with the monitoring device 100, disease early prediction and analysis device 200, standard growth database 400 and remote medical device 500 and the communication network 700 provided in the fish farm tank Analysis of feeding activity analysis information through the analysis, image information of the flounder activity according to abnormal symptoms, the state information of the disease diagnosis and prescription records, or the sound analyzed during the movement and leap of the flounder according to the operation of each device for the prevention of flounder disease According to the level value and the range of the movement of the up-value for the signal, the feeding amount is provided according to the feeding activity measurement value of the feeding time, the feeding amount, and the feeding count data, and the voice analysis activity monitoring device 110 and The administrator analyzes the abnormality according to the status information through the voice analysis and the activity analysis in consideration of the object size by subdividing the activity according to the operation of the video analysis activity monitoring device 130. To provide that information.
상기 표준생장 데이터베이스(400)는 음향 분석, 영상분석을 통하여 넙치의 질병 예방을 위해 수조의 수온, DO의 기준값을 설정하여 수온에 따른 평체별 적정 급이량 정보, 월단위 넙치 표준 증체량 정보를 구축하여 구축된 표준 생장정보와 실제 성장 정보를 비교 분석하여 성장 비율별 급이 섭취량 및 성장에 따른 차이에 따라 질병에 대한 이상 징후를 전문기관 송출되도록 한다.The standard growth database 400 establishes the appropriate feed amount information for each flat body and monthly standard flounder weight increase information according to the water temperature by setting the water temperature of the tank and the reference value of DO to prevent the disease of the flounder through acoustic analysis and image analysis. By comparing and analyzing the standard growth information and the actual growth information, the special signs of the disease are sent out according to the difference between the feed intake and growth by growth rate.
상기 원격진료장치(500)는 상기 관리서버(200)와 연동되어 음성과 영상분석을 통해 상기 관리서버(200)에서 전송되는 감시 장치(100)의 음향 및 영상분석을 통해 질병여부의 의심 개체 발생시 원격에서 양식장 내 구비된 여러수조의 CCTV를 해당 개체가 있는 곳으로 이동하여 이동, 회전, 줌의 원격제어 기능과 사진촬영을 통해 넙치의 상태를 집중 관찰하여 질병 예방을 위한 진단하도록 한다.The remote medical apparatus 500 is interlocked with the management server 200 when a suspicious object is generated through the sound and image analysis of the monitoring device 100 transmitted from the management server 200 through voice and video analysis. In order to prevent disease by intensively observing the condition of the flounder through remote control function and photographing of moving, rotating and zooming the CCTV of several tanks provided in the farm.
상기 원격관리장치(600)는 상기 원격진료 장치(500)와 연동되어 상기 원격진료 장치(500)를 통해 넙치의 상태에 대한 원격제어 및 사진촬영을 통해 집중 관찰을 통해 추가 진단, 처방이 필요할 경우 해당 관리자를 파견하여 넙치 상태에 대한 소견서, 의뢰내용, 양식장 정보, 수조 정보의 이상 유무 작성을 통해 관리하도록 한다.The remote management device 600 is interlocked with the remote medical device 500 when the additional diagnosis, prescription through the intensive observation through the remote control and photographing the state of the flounder through the remote medical device 500 is required. The manager should be dispatched and managed through the preparation of findings on the condition of the flounder, the contents of request, the information on the farm, and the information on the tank.
또한, 통신망(700)은 상기 먹이활성도 감시 장치(100), 관리서버(300), 관리자 단말(600) 및 사용자 단말(700)과 각각 연동하여 음향 및 영상분석을 통하여 넙치의 상태 정보에 따른 질병 예방을 위한 통신망을 제공하게 된다.In addition, the communication network 700 is linked to the food activity monitoring device 100, the management server 300, the manager terminal 600 and the user terminal 700, respectively, through the sound and image analysis of the disease according to the flounder It will provide a communication network for prevention.
한편, 본 발명에서 통신망(700)은 대용량, 장거리 음성 및 데이터 서비스가 가능한 대형 통신망의 고속 기간 망인 통신망이며, 인터넷(Internet) 또는 고속의 멀티미디어 서비스를 제공하기 위한 차세대 유선 및 무선 망일 수 있다. 통신망(700)이 이동통신망일 경우 동기식 이동 통신망일 수도 있고, 비동기식 이동 통신망일 수도 있다. 비동기식 이동 통신망의 일 실시 예로서, WCDMA(Wideband Code Division Multiple Access) 방식의 통신망을 들 수 있다. 이 경우 도면에 도시되진 않았지만, 통신망(700)은 RNC(Radio Network Controller)을 포함할 수 있다. 한편, WCDMA망을 일 예로 들었지만, 3G LTE망, 4G망 등 차세대 통신망, 그 밖의 IP를 기반으로 한 IP망일 수 있다. 통신망(700)은 감시 장치(100), 관리서버(300), 관리자 단말(800), 사용자 단말(900), 그 밖의 시스템 상호 간의 신호 및 데이터를 상호 전달하는 역할을 한다. Meanwhile, in the present invention, the communication network 700 is a communication network which is a high-speed network of a large communication network capable of large capacity, long distance voice and data services, and may be a next-generation wired and wireless network for providing Internet or high-speed multimedia service. When the communication network 700 is a mobile communication network, it may be a synchronous mobile communication network or an asynchronous mobile communication network. An example of an asynchronous mobile communication network is a communication network of a wideband code division multiple access (WCDMA) scheme. In this case, although not shown in the figure, the communication network 700 may include a Radio Network Controller (RNC). Meanwhile, although the WCDMA network is taken as an example, it may be an IP network based on a next generation communication network such as 3G LTE network, 4G network, or other IP. The communication network 700 serves to mutually transmit signals and data between the monitoring apparatus 100, the management server 300, the manager terminal 800, the user terminal 900, and other systems.
상기 관리자 단말(800)은 상기 통신망(700)과 연동하여 관리서버(200)에서 제공되는 양식장 내 넙치의 이동 및 도약시 분석된 음향신호 및 영상 정보에 대한 넙치의 상태 정보를 기초로 활동량에 따른 세분화된 레벨값을 기초로 넙치의 질병 징후를 확인하거나, 표준생장 데이터베이스(400)에 저장된 표준 생장정보와 실제 성장 정보를 비교 분석하여 성장 비율별 급이 섭취량 및 성장에 따른 차이를 기초로 수조의 이상 여부를 확인한다.The manager terminal 800 is linked with the communication network 700 according to the amount of activity based on the status information of the flounder analyzed for the audio signal and image information analyzed during the movement and leap of the flounder in the farm provided by the management server 200 Confirm the disease signs of the flounder based on the granular level value, or compare the standard growth information and the actual growth information stored in the standard growth database 400 and compare the feed intake by the growth rate and the difference according to the growth of the tank. Check for abnormalities.
상기 사용자 단말(900)은 넙치의 질병 예방 제어를 위한 어플(app)를 구동하여 상기 통신망(700)을 통해 원거리에서 관리서버(300)에서 제공되는 음성 분석 및 영상 분석의 감시 장치(100)의 상태정보, 장치의 이상 유무를 확인할 수 있도록 구성된다.The user terminal 900 of the monitoring device 100 of the audio analysis and video analysis provided by the management server 300 at a distance through the communication network 700 by driving an app (app) for the disease prevention control of the flounder. It is configured to check status information and abnormality of the device.
즉, 상기 감시장치(100)를 통해 음성과 영상정보를 추출하고 상기 표준생장 데이터베이스(400)에 저장된 정보를 질병조기 예찰 및 분석장치(200)에서 질병 조기 예찰에 따른 분석장치를 진행하여 해당 분석된 정보를 관리서버(300)로 전송하게 된다.That is, the voice and image information is extracted through the monitoring device 100 and the information stored in the standard growth database 400 is analyzed in accordance with the disease early prediction and analysis device 200 in order to perform the corresponding analysis. The transferred information to the management server 300.
이때, 양식장 수조는 지향성 마이크를 통하여 급이된 먹이의 활성도 정보를 추출할 수 있고, 양식장 수조부 상부에 설치된 CCTV 또는 수중 카메라를 통해 먹이활성도 정보를 추출할 수 있다.At this time, the fish farm can extract the activity information of the fed food through the directional microphone, it is possible to extract the food activity information through the CCTV or underwater camera installed on the fish tank.
본 발명에 따른 질병 예방 시스템은 입력된 먹이활성도정보, 활동량정보, 표준생장데이터베이스 정보를 종합적으로 분석하여 질병의 징후가 감지되는지를 판단하는데, 이때 질병 이상 조기진단은 수조 단위별로 적용할 수 있다.The disease prevention system according to the present invention analyzes the input food activity information, activity information, and standard growth database information comprehensively to determine whether a symptom of a disease is detected. In this case, early diagnosis of disease abnormality may be applied for each tank unit.
한편, 질병의 징후가 감지되면 수산질병 전문가에게 이 사실을 경보하고 수산질병 전문가는 보고된 정보를 바탕으로 질병 감염여부를 정밀 검진 하며, 수산질병 전문가는 정밀 검진 후 질병 감염 증상이 농후한 경우 이를 대상 양식장 인근 수산질병관리사에게 소견과 함께 통보하여 수산질병관리사가 현장을 방문하여 진단 및 처방하거나, 원격에서 상태 확인후 원격 진로도 가능하다.On the other hand, if a symptom of a disease is detected, a warning is given to a fisheries disease expert, and a fisheries disease expert checks whether the disease is infected based on the reported information. Fisheries disease managers can visit the site and diagnose and prescribe the fishery disease manager near the target farm.
따라서, 상기 관리자 단말(800) 또는 사용자 단말(900)의 담당자는 수산질병관리사가의 처방전을 근거로 해당 수조에 투약 처리하여 질병의 조기예찰 및 대처가 가능하다Therefore, the manager of the manager terminal 800 or the user terminal 900 may be treated early in the tank based on the prescription of the fisheries disease manager, the early prediction and coping of the disease is possible.
도 3은 본 발명에 따른 음향 및 영상분석을 통한 넙치 질병 예방 시스템의 감시장치(100)의 세부 구성을 나타내는데, 본 발명에 따른 감시장치(100)는 크게, 음성분석 활동량 감시 장치(110), 영상분석 활동량 감시장치(130)로 구성된다.Figure 3 shows a detailed configuration of the monitoring device 100 of the flounder disease prevention system through the sound and image analysis according to the present invention, the monitoring device 100 according to the present invention is large, the voice analysis activity monitoring device 110, Image analysis activity monitoring device 130 is configured.
상기 음성분석 활동량 감시 장치(110)는 넙치의 먹이감 사냥시 수면 가까이 도약하는 생태 습성을 이용하여 수면 위로 도약 시 발생하는 소리를 갭쳐하여 음성분석을 통해 개체크기를 고려하여 먹이활성도 레벨을 산정하고 상기 표준생장 데이터베이스(400)에 저장된 개체 크기별 급이량 적정여부를 파악하여 이상 징후 발생시 관리서버(300)로 전송하도록 구성된다.The voice analysis activity monitoring device 110, by using the ecological habits leap near the surface when hunting the flounder prey to catch the sound generated when jumping over the water to calculate the level of food activity in consideration of the individual size through the voice analysis and the standard It is configured to determine whether the feed amount appropriate for each object size stored in the growth database 400 is transmitted to the management server 300 when an abnormal symptom occurs.
상기 영상분석 활동량 감시장치(130)는 수조 내 CCTV 카메라 또는 수중 카메라를 통해 수조를 모니터링하여 먹이 급이에 따라 넙치의 활동량에 따른 움직임의 레벨을 정하고 그 범위를 지정하여 레벨에 따른 활동량 여부에 따라 이상 징후 여부를 감시하여 촬상된 영상정보를 관리서버로 공급되도록 한다.The image analysis activity monitoring device 130 monitors the water tank through a CCTV camera or an underwater camera in the water tank to determine the level of movement according to the amount of activity of the flounder according to the feeding rate and specify the range according to the activity amount according to the level. It monitors whether there is any abnormality and supplies the captured image information to the management server.
도 4는 본 발명에 따른 음향 및 영상분석을 통한 넙치 질병 예방 시스템의 음성분석 활동량 감시장치(110)의 세부 구성을 도시한 블록도로서, 본 발명에 따른 음성분석 활동량 감시장치는(110)는 제어부(111), 음원수집부(112), 패턴추출부(113), 급이량 산출부(114), 분류부(115), 조절부(116) 및 송수신부(117)를 포함하여 구성된다.4 is a block diagram showing a detailed configuration of the audio analysis activity monitoring device 110 of the flounder disease prevention system through the sound and image analysis according to the present invention, the audio analysis activity monitoring device 110 according to the present invention The control unit 111, the sound source collection unit 112, the pattern extraction unit 113, the feed amount calculation unit 114, the classification unit 115, the adjusting unit 116 and the transceiver unit 117 is configured to include. .
첨부된 도 1 내지 도 3을 참조하여 본 발명에 따른 음향 및 영상분석을 통한 넙치 질병 예방 시스템의 음성분석 활동량 감시장치(110)의 세부구성 및 동작을 살펴보면, 상기 제어부(111)는 넙치의 먹이감 사냥시 수면 가까이 도약하는 생태 습성을 이용하여 수면 위로 도약 시 발생하는 소리를 갭쳐하여 시간대 별 음성분석을 통해 개체크기를 고려하여 먹이활성도 레벨을 산정, 개체 크기별 분류된 먹이활성도 데이터 수집, 표준생장 데이터베이스(400)에 저장된 개체 크기별 급이량 적정여부를 파악하여 이상 징후 발생시 관리서버(300)로 전송이 가능하도록 음성분석 활동량 감시 장치(110)의 제반적인 동작을 제어한다.Looking at the detailed configuration and operation of the audio analysis activity monitoring device 110 of the flounder disease prevention system through the sound and image analysis according to the present invention with reference to the accompanying Figures 1 to 3, the control unit 111 is the prey of the flounder Using the ecological habits that leap closer to the surface during hunting, the sound generated when leaping over the surface of the water is captured, and the food activity level is calculated by considering the individual size through time-based voice analysis, and the food activity data classified by individual size is collected. By determining whether the feed amount is appropriate for each object size stored in 400 and controlling the overall operation of the voice analysis activity monitoring device 110 to be transmitted to the management server 300 when an abnormal symptom occurs.
상기 음원수집부(112)는 상기 제어부(111)의 제어신호에 따라 넙치의 생태 습성에 따라 수면 도약시 발생하는 소리를 갭쳐하여 넙치의 크기별, 시간대별 음원을 수집하고, 상기 패턴추출부(113)는 상기 제어부(111)의 제어신호에 반응하여 상기 음원수집부(112)에서 수집된 음원을 기초로 넙치의 크기에 따른 패턴, 도약시 발생하는 음향에 따른 패턴을 추출한다.The sound source collecting unit 112 collects the sound source according to the size and time of the flounder by capturing the sound generated during sleep leap according to the ecological habits of the flounder according to the control signal of the control unit 111, and the pattern extraction unit 113. ) Extracts the pattern according to the size of the flounder and the sound generated during the leap based on the sound source collected by the sound source collecting unit 112 in response to the control signal of the control unit 111.
상기 급이량 산출부(114)는 상기 제어부(111)의 제어신호에 따라 상기 음원수집부(112)에 수집되어 추출된 패턴을 기초로 넙치의 크기에 따라 먹이활성도를 이용하여 넙치의 이동 및 도약에 따른 활동성을 고려하여 급이량을 자동으로 산출하여 표출기를 통해 설정되도록 한다.The feed amount calculation unit 114 is based on the pattern collected and extracted by the sound source collection unit 112 in accordance with the control signal of the control unit 111 based on the size of the flounder by using the feeding activity of the flounder and Taking into account the activity of the leap, the feed rate is automatically calculated and set through the display.
상기 분류부(115)는 상기 제어부(111)의 제어신호에 따라 동작하며 상기 급이량 산출부(114)에서 산출되어 설정된 급이량을 기초로 넙치의 이동 및 도약에 따른 활동성을 고려하여 먹이 활성도의 데이터를 수집하고 활성도에 따라 1단계에서 10단계로 단계적으로 레벨링되도록 구성된다. 이때, 1단계는 최하 단계로 10단계는 최상으로 분류하여 먹이활성도가 5단계 이하로 나타날 경우 질병의 이상 징후로 판단하게 된다.The sorting unit 115 operates according to a control signal of the control unit 111 and is fed in consideration of the activity according to the movement and leap of the flounder based on the feed amount calculated and calculated by the feed amount calculating unit 114. It is configured to collect data of activity and level in stages from step 1 to step 10 according to the activity. In this case, the first stage is the lowest stage, the tenth stage is classified as the best, and if the food activity is less than five stages, it is judged as an abnormal symptom of the disease.
상기 조절부(116)는 상기 제어부(111)의 제어신호에 따라 동작하여 급이량 산출부(114)에서 급이량 산출을 위해 개체 크기를 고려하여 레벨링 분류하여 크기별 개체를 산출하여 자동으로 급이가 조절되도록 한다.The control unit 116 operates according to the control signal of the control unit 111, the leveling unit calculating section 114 to calculate the leveling by considering the size of the object in order to calculate the amount of feeding to automatically calculate the size of the individual Allow this to be controlled.
상기 송수신부(117)는 상기 제어부(111)의 제어신호에 반응하여 상기 분류부(115)에 분류되어 먹이 활동성에 따른 상태 정보 또는 이상 징후 판단시 상기 관리서버(300)로 해당 상태 정보를 송출하거나, 상기 표준생장 데이터베이스(400)에 저장된 음성분석을 통한 넙치의 질병 예방에 따른 평체별 적정 급이량 정보, 월단위 넙치 표준 증체량 정보를 수신하도록 구성된다.The transmission / reception unit 117 is classified in the classification unit 115 in response to the control signal of the control unit 111 and transmits the state information to the management server 300 when determining the status information or abnormality indication according to the feeding activity. Or, it is configured to receive the appropriate feed amount information of the flat according to the disease prevention of the flounder through the voice analysis stored in the standard growth database 400, the standard flounder standard weight increase information per month.
도 5는 본 발명에 따른 음향 및 영상분석을 통한 넙치 질병 예방 시스템의 영상분석 활동량 감시장치(130)의 세부 구성을 도시한 블록도로서, 본 발명에 따른 영상분석 활동량 감시장치는(130)는 마이컴(131), 영상수집부(132), 추출부(133), 샘플링부(134), 레벨링부(135), 연동부(136) 및 경보부(137)를 포함하여 구성된다.5 is a block diagram showing a detailed configuration of the image analysis activity monitoring device 130 of the flounder disease prevention system through the sound and image analysis according to the present invention, the image analysis activity monitoring device 130 according to the present invention The microcomputer 131, the image collecting unit 132, the extracting unit 133, the sampling unit 134, the leveling unit 135, the linking unit 136, and the alarm unit 137 are configured to be included.
첨부된 도 1 내지 도 5를 참조하여 도 5는 본 발명에 따른 음향 및 영상분석을 통한 넙치 질병 예방 시스템의 영상분석 활동량 감시장치(130)의 세부구성 및 동작을 살펴보면, 상기 마이컴(131)은 수조 내 CCTV 카메라 또는 수중 카메라를 통해 수조를 모니터링하여 먹이 급이에 따라 넙치의 활동량에 따른 설정된 움직임 범위의 이상여부를 확인하거나, 지정된 범위의 활동량 여부에 따라 변화감지, 이상 징후 여부를 감시하여 촬상된 영상정보를 관리서버로 공급제공되도록 영상분석 활동량 감시장치(130)의 제반적인 동작을 제어한다.Referring to the attached FIGS. 1 to 5, FIG. 5 illustrates a detailed configuration and operation of the image analysis activity monitoring device 130 of the flounder disease prevention system through sound and image analysis according to the present invention. By monitoring the water tank through CCTV camera or underwater camera in the tank to check whether there is abnormality in the set range of movement according to the amount of activity of the flounder according to the feeding, or monitoring change detection and abnormal signs according to the amount of activity in the designated range Controls the overall operation of the video analysis activity monitoring device 130 to provide the provided video information to the management server.
상기 영상수집부(132)는 상기 마이컴(131)의 제어신호에 반응하여 수조 내 설치된 CCTV 카메라 또는 수중 카메라를 통해 넙치의 생태 습성에 따라 수면 도약에 따른 움직임, 수중 내 이동 활동에 따른 영상 데이터를 촬상하여 수집한다.The image collecting unit 132 is a response to the control signal of the microcomputer 131 through the CCTV camera or the underwater camera installed in the tank according to the ecological habits of the flounder according to the movement of the water, the image data according to the movement activity in the water Capture and collect.
상기 추출부(133)는 상기 마이컴(131)의 제어신호에 따라 상기 영상수집부(132)에서 넙치의 움직임, 활동성의 수집을 위해 수조 내 넙치의 변화감지, 물체의 감지를 통해 활동성 여부를 추출하게 된다.The extractor 133 extracts activity by detecting changes in the flounder in the tank and detecting objects in order to collect the flounder in the image collecting unit 132 according to the control signal of the microcomputer 131. Done.
상기 샘플링부(134)는 상기 마이컴(131)의 제어신호에 따라 상기 추출부(133)의 수조 내 변화감지, 물체 감지를 위해 수조의 물결 움직임을 필터링하거나 이동물체를 검출하여 수치화하여 필터링 및 수치화된 정보에 따라 넙치의 활동성 여부의 추출을 위한 감지 신호로 사용되도록 한다.The sampling unit 134 filters the wave movement of the tank or detects and quantifies moving objects in order to detect changes in the tank and detect objects in the tank according to the control signal of the microcomputer 131. According to the information, it is to be used as a detection signal for the extraction of the flounder activity.
상기 레벨링부(135)는 상기 마이컴(131)의 제어신호에 따라 수조 내 넙치의 활동에 따라 촬상된 넙치의 움직임의 영상정보에 따라 활동량 체크 영상데이터를 수집하여 개체 크기를 고려하여 단계별로 레벨링하여 이상 징후가 판단되도록 한다. 이때, 1단계는 최하 단계로 10단계는 최상으로 분류하여 활동성이 5단계 이하로 나타날 경우 질병의 이상 징후로 판단하게 된다.The leveling unit 135 collects the amount of activity check image data according to the image information of the movement of the flounder imaged according to the activity of the flounder in the tank according to the control signal of the microcomputer 131 and leveling step by step in consideration of the individual size Be sure to check for signs of abnormality. In this case, the first stage is the lowest stage and the tenth stage is classified as the best and the activity is judged as an abnormal symptom of the disease if the activity appears below the fifth stage.
상기 연동부(136)는 상기 마이컴(131)의 제어신호에 반응하여 상기 레벨링부(135)에 분류되어 이동 및 활동성에 따른 상태 정보 또는 이상 징후 판단시 상기 관리서버(300)로 해당 상태 정보를 송출하거나, 상기 표준생장 데이터베이스(400)에 저장된 표장 생장정보와 실제 성장 정보 비교를 통한 성장에 다른 차이에 따라 질명에 대한 이상 징후를 전문기관 송출되도록 한다The interlocking unit 136 is classified in the leveling unit 135 in response to the control signal of the microcomputer 131 and transmits the corresponding state information to the management server 300 when determining the state information or abnormal indication according to movement and activity. Or send a specialized institution to send out abnormal signs for the name according to the difference in growth by comparing the growth information of the growth and the growth information stored in the standard growth database 400 and the standard growth database (400)
상기 경보부(127)는 상기 마이컴(131)의 제어신호에 따라 상기 연동부(136)를 통해 송출되는 수조내 넙치의 이동 및 활동성에 따른 이상 징후 발생시 관리서버(200), 관리자단말(800), 사용자 단말(900)로 해당 상태에 따른 경보 신호음을 송출하도록 구성된다.The alarm unit 127 is a management server (200), administrator terminal (800), when abnormal signs occur according to the movement and activity of the flounder in the tank sent through the linkage unit 136 according to the control signal of the microcomputer 131, The user terminal 900 is configured to send an alarm signal sound according to the state.
이상과 같이, 본 명세서와 도면에는 본 발명의 바람직한 실시예에 대하여 개시하였으며, 비록 특정 용어들이 사용되었으나, 이는 단지 본 발명의 기술 내용을 쉽게 설명하고 발명의 이해를 돕기 위한 일반적인 의미에서 사용된 것이지, 본 발명의 범위를 한정하고자 하는 것은 아니다. 여기에 개시된 실시예 외에도 본 발명의 기술적 사상에 바탕을 둔 다른 변형 예들이 실시 가능하다는 것은 본 발명이 속하는 기술 분야에서 통상의 지식을 가진 자에게 자명한 것이다.As described above, the present specification and drawings have been described with respect to preferred embodiments of the present invention, although specific terms are used, it is only used in a general sense to easily explain the technical contents of the present invention and to help the understanding of the present invention. It is not intended to limit the scope of the present invention. It will be apparent to those skilled in the art that other modifications based on the technical idea of the present invention can be carried out in addition to the embodiments disclosed herein.
[부호의 설명][Description of the code]
100 : 감시장치100: monitoring device
110 : 음성분석 활동량 감시 장치110: voice analysis activity monitoring device
111 : 제어부 112 : 음원수집부111: control unit 112: sound source collection unit
113 : 패턴추출부 114 : 급이량 산출부113: pattern extraction unit 114: feed amount calculation unit
115 : 분류부 116 : 조절부115: classification unit 116: control unit
117 : 송수신부 117: transceiver
130 : 영상분석 활동량 감시 장치130: video analysis activity monitoring device
131 : 마이컴 132 : 영상수집부131: microcomputer 132: video collection unit
133 : 추출부 134 : 샘플링부133: extraction unit 134: sampling unit
135 : 레벨링부 136 : 연동부135: leveling unit 136: linkage
137 : 경보부137: alarm unit
200 : 질병조기 예찰 및 분석장치 300 : 관리서버200: Early disease prediction and analysis device 300: Management server
400 : 표준생장 데이터베이스 500 : 원격진료 장치400: standard growth database 500: remote medical device
600 : 원격관리 장치 700 : 통신망600: remote management device 700: communication network
800 : 관리자 단말 900 : 사용자 단말800: administrator terminal 900: user terminal

Claims (8)

  1. 넙치의 먹이감 사냥시 수면 가까이 도약하는 생태 습성을 이용하여 수면 위로 도약 시 발생하는 소리를 갭쳐하여 음성분석을 하거나, 수조 내 수중 CCTV 카메라를 통해 수조를 모니터링하여 수집된 영상의 이상 징후 발생시 추적을 통해 넙치의 활동량을 감시하는 감시 장치(100);Using the ecological habit of leaping near the surface of the flounder when hunting for prey, voice analysis is made by capturing the sound generated when jumping over the surface of the flounder, or by monitoring the tank through the underwater CCTV camera in the tank. A monitoring device 100 for monitoring an amount of activity of the;
    양식장 수조에서 제공되는 음성분석을 통한 먹이 활성도 분석정보, 이상 징후에 따른 넙치 활동량의 영상 정보, 질병 진단 및 처방기록의 상태정보를 저장하거나, 넙치 질병 예방을 위한 각 장치의 구동에 따라 넙치의 이동 및 도약시 분석된 음향신호에 대한 업치의 움직임의 레벨값 및 그 범위에 따라 급이 시간, 급이량, 급이 횟수의 데이터의 먹이활성도 측정값에 따라 급이량이 제공되도록 하는 관리서버(300);Food activity analysis information through voice analysis provided in the aquarium, storage of the flounder activity information according to abnormal symptoms, the status information of the disease diagnosis and prescription records, or the movement of the flounder according to the operation of each device for the prevention of flounder disease And a management server 300 to provide a feeding amount according to a feeding activity measurement value of a feeding time, a feeding amount, and a feeding number of data according to a level value and a range of the movement of the up-value with respect to the analyzed acoustic signal when jumping. );
    상기 관리서버(200)와 연동되어 음성과 영상분석을 통해 상기 관리서버(200)에서 전송되는 감시장치(100)의 음향 및 영상분석을 통해 질병여부의 의심 개체 발생시 원격에서 양식장 내 구비된 여러수조의 CCTV를 해당 개체가 있는 곳으로 이동하여 이동, 회전, 줌의 원격제어 기능과 사진촬영을 통해 넙치의 상태를 집중 관찰하여 질병 예방을 위한 진단하는 원격진료장치(500); 및In connection with the management server 200 through the sound and video analysis through the sound and video analysis of the monitoring device 100 transmitted from the management server 200 through a plurality of tanks provided in the aquaculture farms in case of suspicious object occurrence of disease A remote medical device 500 for diagnosing disease prevention by intensively observing the condition of the flounder by moving the CCTV to a place where the object is located, remotely controlling the movement, rotation, and zooming and photographing; And
    상기 원격진료 장치(500)와 연동되어 상기 원격진료 장치(500)를 통해 넙치의 상태에 대한 원격제어 및 사진촬영을 통해 집중 관찰을 통해 추가 진단, 처방이 필요할 경우 해당 관리자를 파견하여 넙치 상태에 대한 소견서, 의뢰내용, 양식장 정보, 수조 정보의 이상 유무 작성을 통해 관리하는 원격관리장치(600);을 포함하여 구성되는 것을 특징으로 하는 음향 및 영상분석을 통한 넙치 질병 예방 시스템.The remote management device 500 in conjunction with the remote medical device 500 through the remote control of the condition of the flounder through the intensive observation through the photographing and additional diagnosis, prescription is necessary to dispatch the administrator to the flounder state Flounder disease prevention system through the acoustic and image analysis, characterized in that comprises; remote management device (600) to manage by filling in the presence of findings, request information, farm information, tank information.
  2. 제 1 항에 있어서,The method of claim 1,
    상기 감시장치(100)의 수중 카메라 또는 CCTV를 활용한 전수조 이동 모니터링 및 실시간 감시를 통해 수집된 영상을 기초로 넙치의 생육에 다른 수질환경 정보, 먹이활성도 정보, 활동량 정보, 사육정보, 급이량 통계, 표준 생장을 연계하여 질병 진단 및 처방기록을 분석하는 질병조기 예찰 및 분석장치(200)를 더 포함하여 구성되는 것을 특징으로 음향 및 영상분석을 통한 넙치 질병 예방 시스템. Water quality information, food activity information, activity amount information, breeding information, feeding on the flounder growth based on the images collected through the movement monitoring and real-time monitoring of the water tank using the underwater camera or CCTV of the monitoring device 100 Flounder disease prevention system through the acoustic and image analysis, characterized in that it further comprises a disease early prediction and analysis device (200) for analyzing the disease diagnosis and prescription records in conjunction with the quantity statistics, standard growth.
  3. 제 1 항에 있어서,The method of claim 1,
    관리서버(300)에서 제공되는 양식장 내 넙치의 이동 및 도약시 분석된 음향신호 및 영상 정보에 대한 넙치의 상태 정보를 기초로 활동량에 따른 세분화된 레벨값을 기초로 넙치의 질병 징후를 확인하거나, 표준생장 데이터베이스(400)에 저장된 표준 생장정보와 실제 성장 정보를 비교 분석하여 성장 비율별 급이 섭취량 및 성장에 따른 차이를 기초로 수조의 이상 여부를 확인하는 관리자 단말(800),Check the disease symptoms of the flounder on the basis of the granular level value according to the amount of activity based on the status information of the flounder for analysis of the audio signal and image information analyzed during the movement and leap of the flounder in the aquaculture farm provided by the management server 300, The manager terminal 800 to check the abnormality of the tank on the basis of the difference between the feed intake and growth rate by growth rate by comparing and analyzing the standard growth information and the actual growth information stored in the standard growth database 400,
    넙치의 질병 예방 제어를 위한 어플(app)를 구동하여 상기 통신망(700)을 통해 원거리에서 관리서버(300)에서 제공되는 음성 분석 및 영상 분석의 감시 장치(100)의 상태정보, 장치의 이상 유무를 확인할 수 있는 사용자 단말(900)을 더 포함하여 구성되는 것을 특징으로 하는 음향 및 영상분석을 통한 넙치 질병 예방 시스템.Status information of the monitoring device 100 of the audio analysis and video analysis provided from the management server 300 at a distance through the communication network 700 by driving an app (app) for the disease prevention control of the flounder, abnormality of the device Flounder disease prevention system through the acoustic and image analysis, characterized in that further comprises a user terminal 900 that can be confirmed.
  4. 제 1 항에 있어서,The method of claim 1,
    상기 감시 장치(100)는 The monitoring device 100
    상기 음성분석 활동량 감시 장치(110)는 넙치의 먹이감 사냥시 수면 가까이 도약하는 생태 습성을 이용하여 수면 위로 도약 시 발생하는 소리를 갭쳐하여 음성분석을 통해 개체크기를 고려하여 먹이활성도 레벨을 산정하고 상기 표준생장 데이터베이스(400)에 저장된 개체 크기별 급이량 적정여부를 파악하여 이상 징후 발생시 관리서버(300)로 전송하는 음성분석 활동량 감시 장치(110)를 더 포함하여 구성되는 것을 특징으로 음향 및 영상분석을 통한 넙치 질병 예방 시스템.The voice analysis activity monitoring device 110, by using the ecological habits leap near the surface when hunting the flounder prey to catch the sound generated when jumping over the water to calculate the level of food activity in consideration of the individual size through the voice analysis and the standard Sound and video analysis, characterized in that it further comprises a voice analysis activity monitoring device 110 to determine whether the appropriate feed amount for each object size stored in the growth database 400 and transmits to the management server 300 when an abnormal symptom occurs. Through flounder disease prevention system.
  5. 제 1 항에 있어서,The method of claim 1,
    상기 감시 장치(100)는The monitoring device 100
    수조 내 CCTV 카메라 또는 수중 카메라를 통해 수조를 모니터링하여 먹이 급이에 따라 넙치의 활동량에 따른 움직임의 레벨을 정하고 그 범위를 지정하여 레벨에 따른 활동량 여부에 따라 이상 징후 여부를 감시하여 촬상된 영상정보를 관리서버로 공급하는 영상분석 활동량 감시장치(130)를 더 포함하여 구성되는 것을 특징으로 음향 및 영상분석을 통한 넙치 질병 예방 시스템.By monitoring the water tank through CCTV camera or underwater camera in the tank, the level of movement according to the amount of activity of the flounder according to the feeding level is determined, and the range is specified to monitor the abnormality according to the amount of activity according to the level. Flounder disease prevention system through the acoustic and video analysis, characterized in that it further comprises a video analysis activity monitoring device 130 to supply to the management server.
  6. 제 1 항에 있어서,The method of claim 1,
    상기 감시장치(100)를 통해 음성과 영상정보를 추출하고 상기 표준생장 데이터베이스(400)에 저장된 정보를 질병조기 예찰 및 분석장치(200)에서 질병 조기 예찰에 따른 분석장치를 진행하여 해당 분석된 정보를 관리서버(300)로 전송하게 되고, Extract the voice and video information through the monitoring device 100 and proceed to the analysis device according to early disease prediction in the early disease prediction and analysis device 200 to the information stored in the standard growth database 400, the corresponding analyzed information To be transmitted to the management server 300,
    양식장 수조는 지향성 마이크를 통하여 급이된 먹이의 활성도 정보를 추출할 수 있고, 양식장 수조부 상부에 설치된 CCTV 또는 수중 카메라를 통해 먹이활성도 정보를 추출하여 입력된 먹이활성도정보, 활동량정보, 표준생장데이터베이스 정보를 종합적으로 분석하여 질병 징후의 감지여부를 판단하여 질병 이상 진단시 수조 단위별로 적용하도록 구성된 것을 특징으로 하는 음향 및 영상분석을 통한 넙치 질병 예방 시스템.Aquaculture tank can extract the feeding activity information through the directional microphone and feed activity information, activity quantity information, standard growth database by extracting the feeding activity information through CCTV or underwater camera installed on the upper part of the aquarium. Flounder disease prevention system through acoustic and image analysis, characterized in that configured to apply the information by the tank unit when diagnosing disease abnormalities by comprehensively analyzing the information to determine whether the disease signs are detected.
  7. 제 4 항에 있어서,The method of claim 4, wherein
    상기 음성분석 활동량 감시 장치(100)는The voice analysis activity monitoring device 100
    넙치의 먹이감 사냥시 수면 가까이 도약하는 생태 습성을 이용하여 수면 위로 도약 시 발생하는 소리를 갭쳐하여 시간대 별 음성분석을 통해 개체크기를 고려하여 먹이활성도 레벨을 산정, 개체 크기별 분류된 먹이활성도 데이터 수집, 표준생장 데이터베이스(400)에 저장된 개체 크기별 급이량 적정여부를 파악하여 이상 징후 발생시 관리서버(300)로 전송이 가능하도록 음성분석 활동량 감시 장치의 제반적인 동작을 제어하는 제어부(111),Using the ecological habit of leaping near the water when hunting for the flounder prey, the sound generated during the leap over the water is captured, and the food activity level is calculated by considering the individual size through time-based voice analysis. Control unit 111 for controlling the overall operation of the voice analysis activity monitoring device to determine whether the appropriate feed amount for each object size stored in the growth database 400 can be transmitted to the management server 300 when abnormal signs occur;
    상기 제어부(111)의 제어신호에 따라 넙치의 생태 습성에 따라 수면 도약시 발생하는 소리를 갭쳐하여 넙치의 크기별, 시간대별 음원을 수집하는 음원수집부(112),According to the control signal of the control unit 111 according to the ecological habits of the flounder, the sound collection unit 112 to collect the sound source according to the size and time zone of the flounder by gapping the sound generated during sleep leap,
    상기 제어부(111)의 제어신호에 반응하여 상기 음원수집부(112)에서 수집된 음원을 기초로 넙치의 크기에 따른 패턴, 도약시 발생하는 음향에 따른 패턴을 추출하는 패턴추출부(113),A pattern extraction unit 113 for extracting a pattern according to the size of the flounder and a pattern according to the sound generated when the leap is based on the sound source collected by the sound source collection unit 112 in response to the control signal of the controller 111;
    상기 제어부(111)의 제어신호에 따라 상기 음원수집부(112)에 수집되어 추출된 패턴을 기초로 넙치의 크기에 따라 먹이활성도를 이용하여 넙치의 이동 및 도약에 따른 활동성을 고려하여 급이량을 자동으로 산출하여 표출기를 통해 급이량을 설정하는 급이량 산출부(114),Feeding amount in consideration of the activity and movement of the flounder by using the feeding activity according to the size of the flounder based on the pattern collected and extracted by the sound source collection unit 112 according to the control signal of the control unit 111 Feed amount calculation unit 114 for automatically setting the feed amount through the expression machine to calculate the,
    상기 제어부(111)의 제어신호에 따라 동작하며 상기 급이량 산출부(114)에서 산출되어 설정된 급이량을 기초로 넙치의 이동 및 도약에 따른 활동성을 고려하여 먹이 활성도의 데이터를 수집하고 활성도에 따라 1단계에서 10단계로 단계적으로 레벨링분류하고, 1단계는 최하 단계로 10단계는 최상으로 분류하여 먹이활성도가 5단계 이하일 경우 질병의 이상 징후로 판단되도록 하는 분류부(115),It operates according to the control signal of the control unit 111 and collects the data of the feed activity in consideration of the activity according to the movement and leap of the flounder based on the feed amount calculated and set in the feed amount calculating unit 114 According to the leveling step by step from step 1 to step 10, and the step 1 is the lowest step to classify the best step 10 to determine the abnormality of the disease when the food activity is less than 5 levels 115,
    상기 제어부(111)의 제어신호에 따라 동작하여 급이량 산출부(114)에서 급이량 산출을 위해 개체 크기를 고려하여 레벨링 분류하여 크기별 개체를 산출하여 자동으로 급이가 조절되도롤 하는 조절부(116), 및Adjust according to the control signal of the control unit 111, the feed amount calculation unit 114 calculates the leveling classification by considering the size of the object to calculate the amount of feed to calculate the size of the individual to automatically adjust the feed Part 116, and
    상기 제어부(111)의 제어신호에 반응하여 상기 분류부(115)에 분류되어 먹이 활동성에 따른 상태 정보 또는 이상 징후 판단시 상기 관리서버(300)로 해당 상태 정보를 송출하거나, 표준생장 데이터베이스(400)에 저장된 음성분석을 통한 넙치의 질병 예방에 따른 평체별 적정 급이량 정보, 월단위 넙치 표준 증체량 정보를 수신하는 송수신부(117)를 더 포함하여 구성되는 것을 특징으로 하는 음향 및 영상분석을 통한 넙치 질병 예방 시스템.In response to the control signal of the control unit 111 is classified in the classifying unit 115 and transmits the corresponding state information to the management server 300 when determining the status information or abnormal symptoms according to the feeding activity, or the standard growth database 400 Audio and video analysis, characterized in that it further comprises a transmission and reception unit 117 for receiving the proper feed amount information for each flat according to the disease prevention of the flounder through the voice analysis stored in) Through flounder disease prevention system.
  8. 제 5 항에 있어서,The method of claim 5,
    상기 영상분석 활동량 감시장치(130)는 The image analysis activity monitoring device 130
    수조 내 CCTV 카메라 또는 수중 카메라를 통해 수조를 모니터링하여 먹이 급이에 따라 넙치의 활동량에 따른 설정된 움직임 범위의 이상여부를 확인하거나, 지정된 범위의 활동량 여부에 따라 변화감지, 이상 징후 여부를 감시하여 촬상된 영상정보를 관리서버로 전송되어 영상분석 활동량 감시장치(130)의 제반적인 동작을 제어하는 마이컴(131),By monitoring the water tank through CCTV camera or underwater camera in the tank to check whether there is abnormality in the set range of movement according to the amount of activity of the flounder according to the feeding, or monitoring change detection and abnormal signs according to the amount of activity in the designated range Micom 131 for controlling the overall operation of the video analysis activity monitoring device 130 by transmitting the received video information to the management server,
    상기 마이컴(131)의 제어신호에 반응하여 수조 내 설치된 CCTV 카메라 또는 수중 카메라를 통해 넙치의 생태 습성에 따라 수면 도약에 따른 움직임, 수중 내 이동 활동에 따른 영상 데이터를 촬상하여 수집하는 영상수집부(132), Image collecting unit for capturing and collecting the image data according to the movement and the movement in the water according to the ecological habits of the flounder through the CCTV camera or underwater camera installed in the tank in response to the control signal of the microcomputer 131 ( 132),
    상기 마이컴(131)의 제어신호에 따라 상기 영상수집부(132)에서 넙치의 움직임, 활동성의 수집을 위해 수조 내 넙치의 변화감지, 물체의 감지를 통해 활동성 여부를 추출하는 추출부(133),In accordance with the control signal of the microcomputer 131, the extractor 133 extracts the activity of the flounder by detecting the change of the flounder in the tank for detecting the movement and the activity of the flounder in the image collecting unit 132,
    상기 마이컴(131)의 제어신호에 따라 상기 추출부(133)의 수조 내 변화감지, 물체 감지를 위해 수조의 물결 움직임을 필터링하거나 이동물체를 검출하여 수치화하여 필터링 및 수치화된 정보에 따라 넙치의 활동성 여부의 추출을 위한 감지 신호로 사용되도록 하는 샘플링부(134),Activeness of the flounder according to filtering and numerical information by filtering wave movement of the tank or detecting moving objects to quantify by detecting the change in the tank of the extraction unit 133, object detection according to the control signal of the microcomputer 131 Sampling unit 134 to be used as a detection signal for the extraction of whether or not,
    상기 마이컴(131)의 제어신호에 따라 수조 내 넙치의 활동에 따라 촬상된 넙치의 움직임의 영상정보에 따라 활동량 체크 영상데이터를 수집하여 개체 크기를 고려하여 1 ~ 10 단계별로 레벨링하여 이상 징후가 판단되도록 하고, 1단계는 최하 단계로 10단계는 최상으로 분류하여 활동성이 5단계 이하일 경우 질병의 이상 징후로 판단되도록 하는 레벨링부(135),According to the control signal of the microcomputer 131, the activity amount check image data is collected according to the image information of the movement of the flounder taken according to the activity of the flounder in the tank, and the level is determined in 1 to 10 steps in consideration of the individual size to determine abnormal signs. Leveling unit 135 to determine the first stage is the lowest stage, the tenth stage is classified as the best when the activity is less than five stages to determine the abnormal symptoms of the disease,
    상기 마이컴(131)의 제어신호에 반응하여 상기 레벨링부(135)에 분류되어 이동 및 활동성에 따른 상태 정보 또는 이상 징후 판단시 상기 관리서버(300)로 해당 상태 정보를 송출하거나, 표준생장 데이터베이스(400)에 저장된 표장 생장정보와 실제 성장 정보 비교를 통한 성장에 다른 차이에 따라 질명에 대한 이상 징후를 전문기관 송출되도록 하는 연동부(136) 및In response to the control signal of the microcomputer 131 is classified in the leveling unit 135 and transmits the status information to the management server 300 when determining the status information or abnormal symptoms according to the movement and activity, or standard growth database ( Linking unit 136 for sending out abnormal signs of the name according to the difference in growth through comparison of the growth information and the actual growth information stored in the label 400 and
    상기 마이컴(131)의 제어신호에 따라 상기 연동부(136)를 통해 송출되는 수조내 넙치의 이동 및 활동성에 따른 이상 징후 발생시 관리서버(200), 관리자단말(800), 사용자 단말(900)로 해당 상태에 따른 경보 신호음을 송출하는 경보부(127)를 더 포함하여 구성되는 것을 특징으로 음향 및 영상분석을 통한 넙치 질병 예방 시스템.According to the control signal of the microcomputer 131 to the management server 200, the administrator terminal 800, the user terminal 900 when abnormal signs occur according to the movement and activity of the flounder in the tank sent through the interlocking unit 136 Flounder disease prevention system through the sound and image analysis, characterized in that it further comprises an alarm unit for transmitting an alarm signal sound according to the state.
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