WO2022126574A1 - 动物和植物的ai环境监控和ai诊疗算法***及其装置 - Google Patents

动物和植物的ai环境监控和ai诊疗算法***及其装置 Download PDF

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WO2022126574A1
WO2022126574A1 PCT/CN2020/137503 CN2020137503W WO2022126574A1 WO 2022126574 A1 WO2022126574 A1 WO 2022126574A1 CN 2020137503 W CN2020137503 W CN 2020137503W WO 2022126574 A1 WO2022126574 A1 WO 2022126574A1
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diagnosis
algorithm
treatment
data output
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French (fr)
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钟杰东
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钟杰东
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    • A—HUMAN NECESSITIES
    • A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
    • A01K—ANIMAL HUSBANDRY; AVICULTURE; APICULTURE; PISCICULTURE; FISHING; REARING OR BREEDING ANIMALS, NOT OTHERWISE PROVIDED FOR; NEW BREEDS OF ANIMALS
    • A01K29/00—Other apparatus for animal husbandry
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION 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
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/02—Agriculture; Fishing; Forestry; Mining

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  • the invention relates to a system and a device, in particular to an AI environment monitoring and AI diagnosis and treatment algorithm system and device for animals and plants.
  • the technical problem to be solved by the present invention is to overcome the defects in the prior art, and now provides an AI environment monitoring and AI diagnosis and treatment algorithm system for animals and plants and its device, which adopts AI environment monitoring hybrid algorithm and AI diagnosis and treatment algorithm, combined with modern Technology and network conduct global health monitoring and tracking of animals and plants and even human food, monitor and predict the health of animals and plants for timely treatment, and at the same time provide guarantees for human food security.
  • the present invention is an AI environment monitoring and AI diagnosis and treatment algorithm system for animals and plants, which is characterized in that the AI environment monitoring and AI diagnosis and treatment algorithm system for animals and plants includes a main control chip data output module and a data output module related to the main control chip.
  • the output module is connected to an environment detection unit, a target detection unit, an AI environment monitoring hybrid algorithm module and an AI diagnosis and treatment algorithm module.
  • the AI environment monitoring hybrid algorithm module includes an AI environment quantitative value unit and an AI environment monitoring hybrid weight algorithm unit.
  • the AI The environment monitoring hybrid algorithm module includes an AI environment comprehensive evaluation unit, the AI diagnosis and treatment algorithm module includes an AI diagnosis and treatment comprehensive evaluation unit, and the environment detection unit is used to detect the living environment of animals and plants and obtain environmental data.
  • the main control chip data output module is used to receive, manage and control the environmental data and transmit the environmental data to the AI environmental monitoring hybrid algorithm module , and is also used to receive, manage and control the health data and transmit the health data to the AI diagnosis and treatment algorithm module;
  • the AI environment monitoring hybrid algorithm module is used to obtain the data obtained by quantifying the AI environment quantification value unit.
  • the quantified value identifiable by the AI environment monitoring mixed weight algorithm unit, the AI environment monitoring mixed weight algorithm unit is used to calculate the quantified value, and the comprehensive environmental result is obtained through the comprehensive evaluation by the AI environment comprehensive evaluation unit.
  • the environmental comprehensive result is sent to the AI diagnosis and treatment algorithm module, and the AI diagnosis and treatment algorithm module is used to receive the environmental comprehensive result and the health data for calculation, and perform comprehensive evaluation through the AI diagnosis and treatment comprehensive evaluation unit to obtain a comprehensive health diagnosis and treatment. result.
  • the environmental detection unit includes a temperature detection unit, a humidity detection unit, an air pressure detection unit, a noise detection unit, an ammonia detection unit, an ultraviolet detection unit, a carbon dioxide detection unit, a suspended particulate matter PM10 detection unit, a temperature detection unit, a humidity detection unit Detection unit, air pressure detection unit, noise detection unit and gaseous harmful substance TVOC detection unit.
  • the target detection unit includes a video recording unit, a photographing unit, a target body temperature detection unit, a target body pulse detection unit and a target body odor detection unit
  • the main control chip data output module includes a recording data output unit, a video data output unit unit, photographing data output unit, body temperature data output unit, pulse data output unit, excrement data output unit and oral exhaust gas data output unit
  • the AI diagnosis and treatment algorithm module includes AI auditory diagnosis and treatment algorithm unit, AI visual diagnosis and treatment algorithm unit, AI A tactile diagnosis and treatment algorithm unit and an AI olfactory diagnosis and treatment algorithm unit
  • the video recording unit is respectively connected to the recording data output unit and the video recording data output unit
  • the photographing unit is connected to the photographing data output unit
  • the recording data output unit The unit is connected to the AI auditory diagnosis and treatment algorithm unit
  • the video data output unit and the photo data output unit are connected to the AI visual diagnosis and treatment algorithm unit
  • the target body temperature detection unit is connected to the body temperature data output unit
  • the target body pulse detection unit is connected with
  • the AI auditory diagnosis and treatment algorithm unit includes an auditory algorithm module and an AI auditory nerve unit connected to the auditory algorithm module, and the auditory algorithm module is connected to the video data output unit;
  • the AI visual diagnosis and treatment algorithm unit includes A behavioral vision algorithm unit and an AI visual neural unit connected to the behavioral vision algorithm unit, the visual algorithm module includes a behavioral vision algorithm unit, a dynamic vision algorithm module and a static vision algorithm module, the behavioral vision algorithm unit and the dynamic vision algorithm module
  • the visual algorithm modules are all connected with the video recording data output unit, and the static visual algorithm module is connected with the photographing data output unit;
  • the AI tactile diagnosis and treatment algorithm unit includes a tactile data quantification module, a tactile algorithm module and an AI tactile sense that are connected in sequence Nerve unit, the tactile data quantification module is respectively connected with the body temperature data output unit and the pulse data output unit,
  • the AI olfactory diagnosis and treatment algorithm unit includes an olfactory algorithm module and an AI olfactory nerve unit connected with the olfactory algorithm module , the o
  • the AI auditory nerve unit, the AI visual nerve unit, the AI tactile nerve unit, and the AI olfactory nerve unit are all connected to the AI diagnosis and treatment comprehensive evaluation unit.
  • the AI diagnosis and treatment algorithm module further includes a deep intelligent learning brain unit, and the deep intelligent learning brain unit is configured to receive the comprehensive health diagnosis and treatment results of the AI diagnosis and treatment comprehensive evaluation unit, and to evaluate the comprehensive health diagnosis and treatment results. Perform deep learning to obtain a health diagnosis and treatment report, and send the health diagnosis and treatment report to the auditory algorithm module, the visual algorithm module, the tactile algorithm module and the tactile algorithm module respectively.
  • the AI diagnosis and treatment algorithm unit further includes a target volume big data unit, and the target volume big data unit includes a mouth big data unit, a facial feature big data unit, a body temperature big data unit, a pulse big data unit, and a gas big data unit;
  • the AI diagnosis and treatment algorithm unit further includes an auditory disease prediction unit, a visual disease prediction unit, a tactile disease prediction unit and an olfactory disease prediction unit, and the auditory algorithm module further includes a mouth organ capture unit, a mouth behavior extraction unit and a mouth.
  • the visual algorithm module further includes a facial feature capture unit, a facial feature behavior extraction unit, and a facial feature state determination unit
  • the tactile algorithm module further includes a body temperature condition determination unit and a pulse condition determination unit
  • the olfactory algorithm module also includes A gas composition analysis unit, a gas characteristic extraction unit and a gas state determination unit
  • the AI diagnosis and treatment comprehensive evaluation unit includes an AI diagnosis and treatment weight algorithm unit, a disease type prediction scoring ratio unit and a disease type determination result unit, wherein:
  • the mouth organ capture unit, the mouth behavior extraction unit, the mouth big data unit, the mouth state determination unit, the AI auditory nerve unit and the auditory disease prediction unit are connected in sequence;
  • the unit, the facial feature behavior extraction unit, the facial feature big data unit, the facial feature state determination unit, the AI visual nerve unit, and the visual disease prediction unit are connected in sequence, and the body temperature big data unit, the body temperature
  • the auditory disease prediction unit, the visual disease prediction unit, the tactile disease prediction unit, and the olfactory disease prediction unit are all connected to the AI diagnosis and treatment weight algorithm unit, and the disease determination result unit uses After receiving the results of the diagnosis and treatment weighting algorithm of the AI diagnosis and treatment weighting algorithm unit and performing disease type determination to obtain a disease type conclusion, it is also used to send the disease type conclusion to the deep intelligent learning brain unit, and the deep intelligent learning brain unit connecting with the target big data unit;
  • the disease prediction percentage unit is configured to receive the diagnosis and treatment weighting algorithm result of the AI diagnosis and treatment weighting algorithm unit, and perform prediction and percentage conversion to obtain and output the diagnosis and treatment result.
  • the AI diagnosis and treatment algorithm unit further includes a disease type big data unit, and the disease type big data unit is configured to send the disease type big data unit to the AI diagnosis and treatment comprehensive evaluation unit.
  • the AI environment monitoring hybrid algorithm module further includes an AI environment monitoring alarm display unit, and the AI environment monitoring alarm display unit further includes a first-level alarm unit, a second-level alarm unit, and a third-level alarm unit.
  • the AI environment monitoring and AI diagnosis and treatment algorithm system for animals and plants further includes a power adapter unit and an IoT card module unit, and both the power adapter unit and the IoT card module unit are related to the data of the main control chip.
  • the output module is connected, the power adapter unit is used to convert the external voltage into a voltage that supports the operation of the animal and plant health monitoring system, and the IoT card module unit is the animal and plant health monitoring system and 4G network, 5G networks establish transmission channels to provide communication transmission services.
  • An AI environment monitoring and AI diagnosis and treatment algorithm device for animals and plants characterized in that the animal and plant data collection, monitoring, diagnosis and treatment device comprises the AI environment monitoring and AI diagnosis and treatment algorithm system for animals and plants described in any one of the preceding claims .
  • the invention is based on a modern computer carrier, utilizes a convenient big data unit, adopts AI environment monitoring hybrid algorithm and AI diagnosis and treatment algorithm to carry out artificial intelligence planting and breeding, that is, artificial intelligence technology is used in all aspects of vision, touch, hearing and smell. Monitoring is equivalent to the functions of seeing, smelling, asking, and diagnosing doctors from ancient times to the present. Combined with modern technology and the Internet, it can monitor and track the global health of animals and plants and even human food, and monitor and predict the health of animals and plants. Timely treatment, while providing protection for human food security.
  • FIG. 1 is a schematic diagram of the overall structure of a preferred embodiment of the present invention.
  • FIG. 2 is a schematic diagram of the monitoring and diagnosis structure of the target detection system, the main control chip data output unit and the AI diagnosis and treatment algorithm unit according to the preferred embodiment of the present invention.
  • FIG. 3 is a schematic structural diagram of an AI diagnosis and treatment algorithm unit according to a preferred embodiment of the present invention.
  • FIG. 4 is a schematic structural diagram of a preferred embodiment of the present invention.
  • an AI environment monitoring and AI diagnosis and treatment algorithm system for animals and plants of the present invention includes a main control chip data output module 1 and an environmental detection unit 3 connected to the main control chip data output module 1 , target detection unit 4, target detection unit 44, AI environmental monitoring hybrid algorithm module 2 and AI diagnosis and treatment algorithm module 5, the AI environmental monitoring hybrid algorithm module 2 includes an AI environmental quantitative value unit 201 and an AI environmental monitoring hybrid weight algorithm unit 202,
  • the AI environment monitoring hybrid algorithm module 2 includes an AI environment comprehensive evaluation unit 2021, the AI diagnosis and treatment algorithm module 5 includes an AI diagnosis and treatment comprehensive evaluation unit, and the environment detection unit 3 is used to detect the living environment of animals and plants and obtain environmental data.
  • the target detection unit 4 The target detection unit 44 is used to detect and obtain the health status of animals and plants and obtain health data, and the main control chip data output module 1 is used to receive, manage and control the environmental data and The environmental data is transmitted to the AI environmental monitoring hybrid algorithm module 2, and is also used to receive, manage and control the health data and transmit the health data to the AI diagnosis and treatment algorithm module 5; the AI environmental monitoring hybrid algorithm Module 2 is configured to obtain a quantified value identifiable by the AI environment monitoring mixed weight algorithm unit 202 by performing quantization by the AI environment quantification value unit 201, and the AI environment monitoring mixed weight algorithm unit 202 is used to perform a quantification operation on the quantized value.
  • AI environmental monitoring mixed weight algorithm It is the weight distribution of the original data. The proportion of weight distribution is adjusted by real-time, on-site time (0-24 hours), climate, season, latitude and longitude area of the earth, etc.
  • AI environment quantification value unit 201 It is to digitize or convert external data, that is, quantitative conversion, from professional data to data and charts that ordinary people can understand.
  • the environment detection unit 3 includes a temperature detection unit 301, a humidity detection unit 302, an air pressure detection unit 303, a noise detection unit 304, an ammonia detection unit 305, an ultraviolet detection unit 306, a carbon dioxide detection unit 307, and a suspended particulate matter PM2. 5.
  • These environmental detection units detect temperature, humidity, air pressure, noise, ammonia concentration, ultraviolet intensity, carbon dioxide concentration, suspended particulate matter PM2.5, suspended particulate matter PM10 and the concentration of gaseous harmful substances TVOC, etc. environment for inspection.
  • the target detection unit 4 and the target detection unit 44 include a video recording unit 401, a photographing unit 402, a target body temperature detection unit 403, a target body pulse detection unit 404 and a target body odor detection unit 405, and the main control chip data output Module 1 includes a recording data output unit 101, a video data output unit 102, a photo data output unit 103, a body temperature data output unit 104, a pulse data output unit 105, an excrement data output unit 106 and an oral exhaust gas data output unit 107.
  • the AI diagnosis and treatment algorithm module 5 includes an AI auditory diagnosis and treatment algorithm unit 501, an AI visual diagnosis and treatment algorithm unit 502, an AI tactile diagnosis and treatment algorithm unit 503 and an AI smell diagnosis and treatment algorithm unit 504.
  • the video recording unit 401 is connected to the recording data output unit 101 and the recording data output unit 101 respectively.
  • the recording data output unit 102 is connected, the photographing unit 402 is connected with the photographing data output unit 103, the recording data output unit 101 is connected with the AI auditory diagnosis and treatment algorithm unit 501, the recording data output unit 102, the The photo data output unit 103 is connected to the AI visual diagnosis and treatment algorithm unit 502, the target body temperature detection unit 403 is connected to the body temperature data output unit 104, and the target body pulse detection unit 404 is connected to the pulse data output.
  • the body temperature data output unit 104 and the pulse data output unit 105 are both connected to the AI tactile diagnosis and treatment algorithm unit 503, and the target body odor detection unit 405 is connected to the excrement data output unit 106,
  • the oral exhaust gas data output unit 107 is connected, and the excrement data output unit 106 and the oral exhaust gas data output unit 107 are both connected to the AI olfactory diagnosis and treatment algorithm unit 504 .
  • the AI auditory diagnosis and treatment algorithm unit 501 includes an auditory algorithm module 5011 and an AI auditory nerve unit 5012 connected to the auditory algorithm module 5011, and the auditory algorithm module 5011 is connected to the video recording data output unit 102;
  • the The AI vision diagnosis and treatment algorithm unit 502 includes a behavioral vision algorithm unit 5021a and an AI vision neural unit 5022 connected to the behavioral vision algorithm unit 5021a.
  • the vision algorithm module 5021 includes a behavioral vision algorithm unit 5021a, a dynamic vision algorithm module 5021b and a static vision algorithm
  • the algorithm module 5021c, the behavioral vision algorithm unit 5021a and the dynamic vision algorithm module 5021b are both connected to the video recording data output unit 102, and the static vision algorithm module 5021c is connected to the photographing data output unit 103;
  • the tactile diagnosis and treatment algorithm unit 503 includes a tactile data quantification module 5034, a tactile algorithm module 5031 and an AI tactile nerve unit 5032 connected in sequence: the monitored tactile data is subjected to digital or picture display quantification conversion.
  • the tactile data quantification module 5034 is connected to the body temperature data output unit 104 and the pulse data output unit 105 respectively, and the AI olfactory diagnosis and treatment algorithm unit 504 includes an olfactory algorithm module 5041 and an AI connected to the olfactory algorithm module 5041.
  • the olfactory nerve unit 5042, and the olfactory algorithm module 5041 are respectively connected with the excrement data output unit 106 and the oral exhaust gas data output unit 107; wherein:
  • the AI auditory nerve unit 5012 , the AI visual nerve unit 5022 , the AI tactile nerve unit 5032 , and the AI olfactory nerve unit 5042 are all connected to the AI diagnosis and treatment comprehensive evaluation unit 505 .
  • the AI diagnosis and treatment algorithm module 5 further includes a deep intelligent learning brain unit 507, and the deep intelligent learning brain unit 507 is configured to receive the comprehensive results of the health diagnosis and treatment from the AI diagnosis and treatment comprehensive evaluation unit 505, and to analyze the Perform deep learning on the comprehensive results of health diagnosis and treatment to obtain a health diagnosis and treatment report, and send the health diagnosis and treatment report to the auditory algorithm module 5011 , the visual algorithm module 5021 , the tactile algorithm module 5031 and the tactile algorithm module 5031 respectively.
  • the AI diagnosis and treatment algorithm unit further includes a target volume big data unit 508, and the target volume big data unit 508 includes a mouth big data unit 5081, a facial features big data unit 5082, a body temperature big data unit 5083, and a pulse big data unit 5084.
  • body temperature big data unit 5083 receives body temperature data input
  • pulse big data unit 5084 receives pulse data input
  • the AI diagnosis and treatment algorithm unit also includes auditory disease prediction unit 5013, visual disease prediction unit 5023, tactile The disease type prediction unit 5033 and the olfactory disease type prediction unit 5043
  • the auditory algorithm module 5011 further includes a mouth organ capture unit 5011a, a mouth behavior extraction unit 5011b and a mouth state determination unit 5011c
  • the visual algorithm module 5021 also includes five sense organs capture unit Unit 5021a, facial features behavior extraction unit 5021b, facial features state determination unit 5021c
  • the tactile algorithm module 5031 further includes a body temperature condition determination unit 5031a and a pulse condition determination unit 5031b
  • the smell algorithm module 5041 also includes a gas component analysis unit 5041a, a gas The feature extraction unit 5041b and the gas state determination unit 5041c
  • the AI diagnosis and treatment comprehensive evaluation unit 505 includes an AI diagnosis and treatment weight algorithm unit 5051, a disease type prediction score ratio unit
  • the mouth organ capture unit 5011a, the mouth behavior extraction unit 5011b, the mouth big data unit 5081, the mouth state determination unit 5011c, the AI auditory nerve unit 5012 and the hearing disease prediction unit 5013 are connected in sequence , the mouth organ capture unit 5011a receives the recording data input;
  • the facial features capture unit 5021a, the facial feature behavior extraction unit 5021b, the facial features big data unit 5082, the facial feature state determination unit 5021c, the AI visual nerve unit 5022, and the visual disease prediction unit 5023 are connected in sequence , the facial features capture unit 5021a receives the video data input and the photo data input, the body temperature big data unit 5083, the body temperature condition determination unit 5031a, the AI tactile nerve unit 5032 and the tactile disease prediction unit 5033 are sequentially connected, The pulse big data unit 5084, the pulse condition determination unit 5031b and the AI tactile nerve unit 5032 are connected in sequence, the gas component analysis unit 5041a, the gas feature extraction unit 5041b, the gas state determination unit 5041c, The gas big data unit 5085, the gas state determination unit 5041c, the AI olfactory nerve unit 5042 and the olfactory disease prediction unit 5043 are connected in sequence;
  • the auditory disease prediction unit 5013, the visual disease prediction unit 5023, the tactile disease prediction unit 5033, and the olfactory disease prediction unit 5043 are all connected to the AI diagnosis and treatment weight algorithm unit 5051.
  • the type determination result unit 5052 is used to receive the diagnosis and treatment weighting algorithm result of the AI diagnosis and treatment weighting algorithm unit 5051 and perform disease type determination to obtain a disease type conclusion, and is also used to send the disease type conclusion to the deep intelligent learning brain unit 507 , the deep intelligent learning brain unit 507 is connected with the target volume big data unit.
  • the mouth behavior extraction unit 5011b receives the captured mouth movements and extracts them, and sends them to the mouth big data unit 5081. The state is judged and sent to the AI auditory nerve unit 5012 for comprehensive neural judgment
  • the disease prediction percentage unit 5053 is configured to receive the diagnosis and treatment weighting algorithm result of the AI diagnosis and treatment weighting algorithm unit 5051, and perform prediction and percentage conversion to obtain and output the diagnosis and treatment result.
  • the AI diagnosis and treatment algorithm unit further includes a disease type big data unit 506 , and the disease type big data unit 506 is configured to send the disease type big data to the AI diagnosis and treatment comprehensive evaluation unit 505 .
  • the AI environment monitoring mixed algorithm module 2 further includes an AI environment monitoring alarm display unit 203, and the AI environment monitoring mixed algorithm module 2 sends the calculated result to the AI environment monitoring alarm display unit 203 for alarm display, and the environment monitoring display The unit is set to display the alarm level according to the result.
  • the AI environment monitoring alarm display unit 203 further includes a first-level alarm unit 2031 , a second-level alarm unit 2032 and a third-level alarm unit 2033 .
  • the AI environment monitoring and AI diagnosis and treatment algorithm system for animals and plants further includes a power adapter unit 6 and an IoT card module unit 7 .
  • the power adapter unit 6 and the IoT card The module units 7 are all connected with the main control chip data output module 1, the power adapter unit 6 is used to convert the external voltage into a voltage that supports the operation of the animal and plant health monitoring system, and the IoT card module Unit 7 establishes a channel for transmitting AI environmental quantification value unit 201 for the animal and plant health monitoring system and network such as 4G network and 5G network to provide communication transmission services.
  • An AI environment monitoring and AI diagnosis and treatment algorithm device for animals and plants comprising the AI environment monitoring and AI diagnosis and treatment algorithm system for animals and plants according to any one of the preceding claims.
  • the device includes an equipment casing and a rotating bracket, the equipment casing includes an upper casing and a lower casing, and provides shape protection for all accessories.
  • the rotating bracket is used to adjust the angle and direction. All accessories are fixed inside the device housing.
  • the swivel stand provides the device with different angles and orientations of adjustment.
  • the invention is based on a modern computer carrier, utilizes a convenient big data unit, adopts AI environment monitoring hybrid algorithm and AI diagnosis and treatment algorithm to carry out artificial intelligence planting and breeding, that is, artificial intelligence technology is used in all aspects of vision, touch, hearing and smell. Monitoring is equivalent to the functions of seeing, smelling, asking, and diagnosing doctors from ancient times to the present. Combined with modern technology and the Internet, it can monitor and track the global health of animals and plants and even human food, and monitor and predict the health of animals and plants. Timely treatment, while providing protection for human food security.

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Abstract

一种动物和植物的AI环境监控和AI诊疗算法***及其装置，包括主控芯片数据输出模块和与所述主控芯片数据输出模块连接的环境检测单元、目标检测单元、AI环境监控混合算法模块和AI诊疗算法模块，所述AI环境监控混合算法模块包括AI环境量化值单元和AI环境监控混合权重算法单元，所述AI环境监控混合算法模块包括AI环境综合评估单元。其采用AI环境监控混合算法和AI诊疗算法，结合现代科技和网络对动物和植物的生存环境和生物数据进行全球健康监控跟踪，为动物和植物的健康进行监控和预测以便及时进行治疗，同时为人类的食物安全提供保障。

Description

动物和植物的AI环境监控和AI诊疗算法***及其装置 技术领域
本发明涉及一种***及装置，尤其涉及一种动物和植物的AI环境监控和AI诊疗算法***及其装置。
背景技术
随着4G和5G的网络普及，物联网的应用将会全方位普及到人们的生活，并影响和改变人们的生活方式。人们的精神和物货需求得到空前的提高。本技术的工人智能应用于种植和养殖业，为人们提供安全的食物建立完善的保障***。人类有了安全的食物保障才有更好的精神追求，人类文明将推向更高的维度。
物联网的普及为采集大数据提供方便，计算机这几年的进步为人工智能提供应用的载体。芯片将会很快突破2nm，摩尔定理将推向极限。这为人工智能提供空前的算力提升。在大数据、计算机和算力的共同影响下，结合我们的算法将人工智能种植和养殖服务人类，我们将会在全世界建立各种植物和动物的健康监控***。为人类提供保障的安全食物。
发明内容
本发明要解决的技术问题是为了克服现有技术中的缺陷，现提供一种动物和植物的AI环境监控和AI诊疗算法***及其装置，采用AI环境监控混合算法和AI诊疗算法，结合现代科技和网络对动物和植物以至对人类的食物进行全球健康监控跟踪，为动物和植物的健康进行监控和预测以便及时进行治疗，同时为人类的食物安全提供保障。
本发明是通过下述技术方案来解决上述技术问题：
本发明一种动物和植物的AI环境监控和AI诊疗算法***，其特点在于，所述动物和植物的AI环境监控和AI诊疗算法***包括主控芯片数据输出模 块和与所述主控芯片数据输出模块连接的环境检测单元、目标检测单元、AI环境监控混合算法模块和AI诊疗算法模块，所述AI环境监控混合算法模块包括AI环境量化值单元和AI环境监控混合权重算法单元，所述AI环境监控混合算法模块包括AI环境综合评估单元，所述AI诊疗算法模块包括AI诊疗综合评估单元，所述环境检测单元用于检测动物和植物生存的环境并获得环境数据，所述目标检测单元用于检测和获得动物和植物的健康状态并获得健康数据，所述主控芯片数据输出模块用于接收、管理和控制所述环境数据并将所述环境数据传输给所述AI环境监控混合算法模块，还用于接收、管理和控制所述健康数据并将所述健康数据传输给所述AI诊疗算法模块；所述AI环境监控混合算法模块用于通过所述AI环境量化值单元进行量化获得所述AI环境监控混合权重算法单元可识别的量化值，所述AI环境监控混合权重算法单元用于对所述量化值进行计算，通过所述AI环境综合评估单元综合评估获得环境综合结果并将所述环境综合结果发送给所述AI诊疗算法模块，所述AI诊疗算法模块用于接收所述环境综合结果和所述健康数据进行计算并通过所述AI诊疗综合评估单元进行综合评估获得健康诊疗综合结果。
优选地，所述环境检测单元包括温度检测单元、湿度检测单元、气压检测单元、噪音检测单元、氨气检测单元、紫外线检测单元、二氧化碳检测单元、、悬浮颗粒物PM10检测单元、温度检测单元、湿度检测单元、气压检测单元、噪音检测单元和气态有害物质TVOC检测单元。
优选地，所述目标检测单元包括录像单元、拍照单元、目标体体温检测单元、目标体脉搏检测单元和目标体气味检测单元，所述主控芯片数据输出模块包括录音数据输出单元、录像数据输出单元、拍照数据输出单元、体温数据输出单元、脉搏数据输出单元、***物数据输出单元和口腔排出气体数据输出单元，所述AI诊疗算法模块包括AI听觉诊疗算法单元、AI视觉诊疗算法单元、AI触觉诊疗算法单元和AI嗅觉诊疗算法单元，所述录像单元分别与所述录音数据输出单元和所述录像数据输出单元连接，所述拍照单元 与所述拍照数据输出单元连接，所述录音数据输出单元与所述AI听觉诊疗算法单元连接，所述录像数据输出单元、所述拍照数据输出单元均与所述AI视觉诊疗算法单元连接，所述目标体体温检测单元与所述体温数据输出单元连接，所述目标体脉搏检测单元与所述脉搏数据输出单元连接，所述体温数据输出单元、所述脉搏数据输出单元均与所述AI触觉诊疗算法单元连接，所述目标体气味检测单元均与所述***物数据输出单元、所述口腔排出气体数据输出单元连接，所述***物数据输出单元和所述口腔排出气体数据输出单元均所述AI嗅觉诊疗算法单元连接。
优选地，所述AI听觉诊疗算法单元包括听觉算法模块和与所述听觉算法模块连接的AI听觉神经单元，所述听觉算法模块与所述录像数据输出单元连接；所述AI视觉诊疗算法单元包括行为视觉算法单元和与所述行为视觉算法单元连接的AI视觉神经单元，所述视觉算法模块包括行为视觉算法单元、动态视觉算法模块和静态视觉算法模块，所述行为视觉算法单元和所述动态视觉算法模块均与所述录像数据输出单元连接，所述静态视觉算法模块与所述拍照数据输出单元连接；所述AI触觉诊疗算法单元包括依次连接的触觉数据量化模块、触觉算法模块和AI触觉神经单元，所述触觉数据量化模块分别与所述体温数据输出单元、所述脉搏数据输出单元连接，所述AI嗅觉诊疗算法单元包括嗅觉算法模块和与所述嗅觉算法模块连接的AI嗅觉神经单元，所述嗅觉算法模块分别与所述***物数据输出单元、所述口腔排出气体数据输出单元连接；其中：
所述AI听觉神经单元、所述AI视觉神经单元、所述AI触觉神经单元和所述AI嗅觉神经单元均与所述AI诊疗综合评估单元连接。
优选地，所述AI诊疗算法模块还包括深度智能学习大脑单元，所述深度智能学习大脑单元用于接收所述AI诊疗综合评估单元的所述健康诊疗综合结果，并对所述健康诊疗综合结果进行深度学习获得健康诊疗报告，将所述健康诊疗报告分别发送给所述听觉算法模块、所述视觉算法模块、所述触觉算法模块和所述触觉算法模块。
优选地，所述AI诊疗算法单元还包括目标体大数据单元，所述目标体大数据单元包括嘴巴大数据单元、五官大数据单元、体温大数据单元、脉搏大数据单元和气体大数据单元；所述AI诊疗算法单元还包括听觉病种预测单元、视觉病种预测单元、触觉病种预测单元和嗅觉病种预测单元，所述听觉算法模块还包括嘴巴器官捕捉单元、嘴巴行为提取单元和嘴巴状态判定单元，所述视觉算法模块还包括五官器官捕捉单元、五官行为提取单元、五官状态判定单元，所述触觉算法模块还包括体温状况判定单元和脉搏状况判定单元，所述嗅觉算法模块还包括气体成分分析单元、气体特点提取单元和气体状态判定单元，所述AI诊疗综合评估单元包括AI诊疗权重算法单元、病种预测评分比单元和病种判定结果单元，其中：
所述嘴巴器官捕捉单元、所述嘴巴行为提取单元、所述嘴巴大数据单元、所述嘴巴状态判定单元、所述AI听觉神经单元和所述听觉病种预测单元依次连接；所述五官器官捕捉单元、所述五官行为提取单元、所述五官大数据单元、所述五官状态判定单元、所述AI视觉神经单元和所述视觉病种预测单元依次连接，所述体温大数据单元、所述体温状况判定单元、所述AI触觉神经单元和所述触觉病种预测单元依次连接，所述脉搏大数据单元、所述脉搏状况判定单元和所述AI触觉神经单元依次连接，所述气体成分分析单元、所述气体特点提取单元、所述气体状态判定单元、所述气体大数据单元、所述气体状态判定单元、所述AI嗅觉神经单元和所述嗅觉病种预测单元依次连接；
所述听觉病种预测单元、所述视觉病种预测单元、所述触觉病种预测单元和所述嗅觉病种预测单元均与所述AI诊疗权重算法单元连接，所述病种判定结果单元用于接收所述AI诊疗权重算法单元的诊疗权重算法结果并进行病种判定获得病种结论，还用于将所述病种结论发送给所述深度智能学习大脑单元，所述深度智能学习大脑单元与所述目标体大数据单元连接；
所述病种预测百分比单元用于接收所述AI诊疗权重算法单元的所述诊疗权重算法结果并进行预测和百分比换算获得和输出诊疗结果。
优选地，所述AI诊疗算法单元还包括病种大数据单元，所述病种大数据单元用于向所述AI诊疗综合评估单元发送病种大数据。
优选地，所述AI环境监控混合算法模块还包括AI环境监控报警显示单元，所述AI环境监控报警显示单元还包括第一级报警单元、第二级报警单元和第三级报警单元。
优选地，动物和植物的AI环境监控和AI诊疗算法***还包括电源适配器单元和物联卡模组单元，所述电源适配器单元和所述物联卡模组单元均与所述主控芯片数据输出模块连接，所述电源适配器单元用于把外部电压转化为支持所述动物和植物健康监控***运行的电压，所述物联卡模组单元为所述动物和植物健康监控***和4G网络、5G网络建立传输信道以提供通讯传输服务。
一种动物和植物的AI环境监控和AI诊疗算法装置，其特点在于，所述动物和植物数据采集监控诊疗装置包括上述权利要求任一所述的动物和植物的AI环境监控和AI诊疗算法***。
本发明的积极进步效果在于：
本发明以现代化计算机载体为基础，利用方便的大数据单元，采用AI环境监控混合算法和AI诊疗算法，进行人工智能种植和养殖，即通过人工智能技术从视觉、触觉、听觉及嗅觉全方位应用进行监控，相当在从古至今医生的望、闻、问、切功能，结合现代科技和网络对动物和植物以至对人类的食物进行全球健康监控跟踪，为动物和植物的健康进行监控和预测以便及时进行治疗，同时为人类的食物安全提供保障。
附图说明
图1为本发明的较优实施例的整体结构示意图。
图2为本发明的较优实施例的目标检测***、主控芯片数据输出单元和AI诊疗算法单元的监控诊疗结构示意图。
图3为本发明的较优实施例的AI诊疗算法单元的结构示意图。
图4为本发明的较优实施例的一种结构示意图。
具体实施方式
下面通过实施例的方式进一步说明本发明，但并不因此将本发明限制在所述的实施例范围之中。
请参加图1～4，本发明一种动物和植物的AI环境监控和AI诊疗算法***，其包括主控芯片数据输出模块1和与所述主控芯片数据输出模块1连接的环境检测单元3、目标检测单元4目标检测单元44、AI环境监控混合算法模块2和AI诊疗算法模块5，所述AI环境监控混合算法模块2包括AI环境量化值单元201和AI环境监控混合权重算法单元202，所述AI环境监控混合算法模块2包括AI环境综合评估单元2021，所述AI诊疗算法模块5包括AI诊疗综合评估单元，所述环境检测单元3用于检测动物和植物生存的环境并获得环境数据，所述目标检测单元4目标检测单元44用于检测和获得动物和植物的健康状态并获得健康数据，所述主控芯片数据输出模块1用于接收、管理和控制所述环境数据并将所述环境数据传输给所述AI环境监控混合算法模块2，还用于接收、管理和控制所述健康数据并将所述健康数据传输给所述AI诊疗算法模块5；所述AI环境监控混合算法模块2用于通过所述AI环境量化值单元201进行量化获得所述AI环境监控混合权重算法单元202可识别的量化值，所述AI环境监控混合权重算法单元202用于对所述量化值进行计算，通过所述AI环境综合评估单元2021综合评估获得环境综合结果并将所述环境综合结果发送给所述AI诊疗算法模块5，所述AI诊疗算法模块5用于接收所述环境综合结果和所述健康数据进行计算并通过所述AI诊疗综合评估单元进行综合评估获得健康诊疗综合结果，最终AI诊疗算法模块5输出诊疗结果。
AI环境监控混合权重算法：是原始数据的权重分配，权重分配的比例具体数据由实时、实地的时间(0-24小时)、气候、季节、地球经纬度区域等等的不同而调整。AI环境量化值单元201：是对外来的数据进行数字化或 图片化转变即量化转变，由专业的数据转换为普通人能看懂的数据和图表。
优选地，所述环境检测单元3包括温度检测单元301、湿度检测单元302、气压检测单元303、噪音检测单元304、氨气检测单元305、紫外线检测单元306、二氧化碳检测单元307、悬浮颗粒物PM2.5检测单元308、悬浮颗粒物PM10检测单元309、温度检测单元301、湿度检测单元302、气压检测单元303、噪音检测单元304和气态有害物质TVOC检测单元310。这些环境检测单元分别检测温度、湿度、气压、噪音、氨气浓度、紫外线强弱、二氧化碳浓度、悬浮颗粒物PM2.5、悬浮颗粒物PM10和气态有害物质TVOC的浓度等，以对动物和植物的生存环境进行检测。
优选地，所述目标检测单元4目标检测单元44包括录像单元401、拍照单元402、目标体体温检测单元403、目标体脉搏检测单元404和目标体气味检测单元405，所述主控芯片数据输出模块1包括录音数据输出单元101、录像数据输出单元102、拍照数据输出单元103、体温数据输出单元104、脉搏数据输出单元105、***物数据输出单元106和口腔排出气体数据输出单元107，所述AI诊疗算法模块5包括AI听觉诊疗算法单元501、AI视觉诊疗算法单元502、AI触觉诊疗算法单元503和AI嗅觉诊疗算法单元504，所述录像单元401分别与所述录音数据输出单元101和所述录像数据输出单元102连接，所述拍照单元402与所述拍照数据输出单元103连接，所述录音数据输出单元101与所述AI听觉诊疗算法单元501连接，所述录像数据输出单元102、所述拍照数据输出单元103均与所述AI视觉诊疗算法单元502连接，所述目标体体温检测单元403与所述体温数据输出单元104连接，所述目标体脉搏检测单元404与所述脉搏数据输出单元105连接，所述体温数据输出单元104、所述脉搏数据输出单元105均与所述AI触觉诊疗算法单元503连接，所述目标体气味检测单元405均与所述***物数据输出单元106、所述口腔排出气体数据输出单元107连接，所述***物数据输出单元106和所述口腔排出气体数据输出单元107均所述AI嗅觉诊疗算法单元504连接。
优选地，所述AI听觉诊疗算法单元501包括听觉算法模块5011和与所述听觉算法模块5011连接的AI听觉神经单元5012，所述听觉算法模块5011与所述录像数据输出单元102连接；所述AI视觉诊疗算法单元502包括行为视觉算法单元5021a和与所述行为视觉算法单元5021a连接的AI视觉神经单元5022，所述视觉算法模块5021包括行为视觉算法单元5021a、动态视觉算法模块5021b和静态视觉算法模块5021c，所述行为视觉算法单元5021a和所述动态视觉算法模块5021b均与所述录像数据输出单元102连接，所述静态视觉算法模块5021c与所述拍照数据输出单元103连接；所述AI触觉诊疗算法单元503包括依次连接的触觉数据量化模块5034、触觉算法模块5031和AI触觉神经单元5032：监测的触觉数据进行数字或图片显示量化转换。所述触觉数据量化模块5034分别与所述体温数据输出单元104、所述脉搏数据输出单元105连接，所述AI嗅觉诊疗算法单元504包括嗅觉算法模块5041和与所述嗅觉算法模块5041连接的AI嗅觉神经单元5042，所述嗅觉算法模块5041分别与所述***物数据输出单元106、所述口腔排出气体数据输出单元107连接；其中：
所述AI听觉神经单元5012、所述AI视觉神经单元5022、所述AI触觉神经单元5032和所述AI嗅觉神经单元5042均与所述AI诊疗综合评估单元505连接。
优选地，所述AI诊疗算法模块5还包括深度智能学习大脑单元507，所述深度智能学习大脑单元507用于接收所述AI诊疗综合评估单元505的所述健康诊疗综合结果，并对所述健康诊疗综合结果进行深度学习获得健康诊疗报告，将所述健康诊疗报告分别发送给所述听觉算法模块5011、所述视觉算法模块5021、所述触觉算法模块5031和所述触觉算法模块5031。
优选地，所述AI诊疗算法单元还包括目标体大数据单元508，所述目标体大数据单元508包括嘴巴大数据单元5081、五官大数据单元5082、体温大数据单元5083、脉搏大数据单元5084和气体大数据单元5085，体温大数据单元5083接收体温数据输入，脉搏大数据单元5084接收脉搏数据输入； 所述AI诊疗算法单元还包括听觉病种预测单元5013、视觉病种预测单元5023、触觉病种预测单元5033和嗅觉病种预测单元5043，所述听觉算法模块5011还包括嘴巴器官捕捉单元5011a、嘴巴行为提取单元5011b和嘴巴状态判定单元5011c，所述视觉算法模块5021还包括五官器官捕捉单元5021a、五官行为提取单元5021b、五官状态判定单元5021c，所述触觉算法模块5031还包括体温状况判定单元5031a和脉搏状况判定单元5031b，所述嗅觉算法模块5041还包括气体成份分析单元5041a、气体特点提取单元5041b和气体状态判定单元5041c，所述AI诊疗综合评估单元505包括AI诊疗权重算法单元5051、病种预测评分比单元和病种判定结果单元5052,气体成份分析单元5041a，气体成份分析单元5041a接收***物数据输入和口腔排气数据输入；
所述嘴巴器官捕捉单元5011a、所述嘴巴行为提取单元5011b、所述嘴巴大数据单元5081、所述嘴巴状态判定单元5011c、所述AI听觉神经单元5012和所述听觉病种预测单元5013依次连接,嘴巴器官捕捉单元5011a接收录音数据输入；
所述五官器官捕捉单元5021a、所述五官行为提取单元5021b、所述五官大数据单元5082、所述五官状态判定单元5021c、所述AI视觉神经单元5022和所述视觉病种预测单元5023依次连接，五官器官捕捉单元5021a接收录像数据输入和拍照数据输入，所述体温大数据单元5083、所述体温状况判定单元5031a、所述AI触觉神经单元5032和所述触觉病种预测单元5033依次连接，所述脉搏大数据单元5084、所述脉搏状况判定单元5031b和所述AI触觉神经单元5032依次连接，所述气体成份分析单元5041a、所述气体特点提取单元5041b、所述气体状态判定单元5041c、所述气体大数据单元5085、所述气体状态判定单元5041c、所述AI嗅觉神经单元5042和所述嗅觉病种预测单元5043依次连接；
所述听觉病种预测单元5013、所述视觉病种预测单元5023、所述触觉病种预测单元5033和所述嗅觉病种预测单元5043均与所述AI诊疗权重算 法单元5051连接，所述病种判定结果单元5052用于接收所述AI诊疗权重算法单元5051的诊疗权重算法结果并进行病种判定获得病种结论，还用于将所述病种结论发送给所述深度智能学习大脑单元507，所述深度智能学习大脑单元507与所述目标体大数据单元连接。
所述嘴巴行为提取单元5011b接收到捕捉到的嘴巴动作并进行提取，发送给嘴巴大数据单元5081,嘴巴大数据单元5081针对提取的嘴巴行为调取存储的大数据，嘴巴状态判定单元5011c对嘴巴状态进行判定，发送给AI听觉神经单元5012进行综合神经判断
所述病种预测百分比单元5053用于接收所述AI诊疗权重算法单元5051的所述诊疗权重算法结果并进行预测和百分比换算获得和输出诊疗结果。
优选地，所述AI诊疗算法单元还包括病种大数据单元506，所述病种大数据单元506用于向所述AI诊疗综合评估单元505发送病种大数据。
优选地，所述AI环境监控混合算法模块2还包括AI环境监控报警显示单元203，AI环境监控混合算法模块2将推算出的结果交给AI环境监控报警显示单元203进行报警显示，环境监控显示单元设置根据结果显示报警等级，通常所述AI环境监控报警显示单元203还包括第一级报警单元2031、第二级报警单元2032和第三级报警单元2033。
优选地，如图4所示，所述动物和植物的AI环境监控和AI诊疗算法***还包括电源适配器单元6和物联卡模组单元7，所述电源适配器单元6和所述物联卡模组单元7均与所述主控芯片数据输出模块1连接，所述电源适配器单元6用于把外部电压转化为支持所述动物和植物健康监控***运行的电压，所述物联卡模组单元7为所述动物和植物健康监控***和网络例如4G网络和5G网络建立传输AI环境量化值单元201信道以提供通讯传输服务。
一种动物和植物的AI环境监控和AI诊疗算法装置，包括上述权利要求任一所述的动物和植物的AI环境监控和AI诊疗算法***。该装置包括设备外壳和旋转支架，所述设备外壳包括上壳和下壳，为全部配件提供外形保 护。所述旋转支架用于调整角度和方向。全部的配件都固定在设备外壳里面。旋转支架为设备提供不同角度和方向的调整功能。
本发明以现代化计算机载体为基础，利用方便的大数据单元，采用AI环境监控混合算法和AI诊疗算法，进行人工智能种植和养殖，即通过人工智能技术从视觉、触觉、听觉及嗅觉全方位应用进行监控，相当在从古至今医生的望、闻、问、切功能，结合现代科技和网络对动物和植物以至对人类的食物进行全球健康监控跟踪，为动物和植物的健康进行监控和预测以便及时进行治疗，同时为人类的食物安全提供保障。
以上结合附图实施例对本发明进行了详细说明，本领域中普通技术人员可根据上述说明对本发明做出种种变化例。凡在本发明的精神和原则之内，所作的任何修改、等同替换、改进等，均应包含在本发明的保护范围之内。因而，实施例中的某些细节不应构成对本发明的限定，本发明将以所附权利要求书界定的范围作为本发明的保护范围。

Claims (10)

  1. 一种动物和植物的AI环境监控和AI诊疗算法***，其特征在于，所述动物和植物的AI环境监控和AI诊疗算法***包括主控芯片数据输出模块和与所述主控芯片数据输出模块连接的环境检测单元、目标检测单元、AI环境监控混合算法模块和AI诊疗算法模块，所述AI环境监控混合算法模块包括AI环境量化值单元和AI环境监控混合权重算法单元，所述AI环境监控混合算法模块包括AI环境综合评估单元，所述AI诊疗算法模块包括AI诊疗综合评估单元，所述环境检测单元用于检测动物和植物生存的环境并获得环境数据，所述目标检测单元用于检测和获得动物和植物的健康状态并获得健康数据，所述主控芯片数据输出模块用于接收、管理和控制所述环境数据并将所述环境数据传输给所述AI环境监控混合算法模块，还用于接收、管理和控制所述健康数据并将所述健康数据传输给所述AI诊疗算法模块；所述AI环境监控混合算法模块用于通过所述AI环境量化值单元进行量化获得所述AI环境监控混合权重算法单元可识别的量化值，所述AI环境监控混合权重算法单元用于对所述量化值进行计算，通过所述AI环境综合评估单元综合评估获得环境综合结果并将所述环境综合结果发送给所述AI诊疗算法模块，所述AI诊疗算法模块用于接收所述环境综合结果和所述健康数据进行计算并通过所述AI诊疗综合评估单元进行综合评估获得健康诊疗综合结果。
  2. 根据权利要求1所述的动物和植物的AI环境监控和AI诊疗算法***，其特征在于，所述环境检测单元包括温度检测单元、湿度检测单元、气压检测单元、噪音检测单元、氨气检测单元、紫外线检测单元、二氧化碳检测单元、、悬浮颗粒物PM10检测单元、温度检测单元、湿度检测单元、气压检测单元、噪音检测单元和气态有害物质TVOC检测单元。
  3. 根据权利要求1所述的动物和植物的AI环境监控和AI诊疗算法***，其特征在于，所述目标检测单元包括录像单元、拍照单元、目标体体温检测单元、目标体脉搏检测单元和目标体气味检测单元，所述主控芯片数据输出模块包括录音数据输出单元、录像数据输出单元、拍照数据输出单元、 体温数据输出单元、脉搏数据输出单元、***物数据输出单元和口腔排出气体数据输出单元，所述AI诊疗算法模块包括AI听觉诊疗算法单元、AI视觉诊疗算法单元、AI触觉诊疗算法单元和AI嗅觉诊疗算法单元，所述录像单元分别与所述录音数据输出单元和所述录像数据输出单元连接，所述拍照单元与所述拍照数据输出单元连接，所述录音数据输出单元与所述AI听觉诊疗算法单元连接，所述录像数据输出单元、所述拍照数据输出单元均与所述AI视觉诊疗算法单元连接，所述目标体体温检测单元与所述体温数据输出单元连接，所述目标体脉搏检测单元与所述脉搏数据输出单元连接，所述体温数据输出单元、所述脉搏数据输出单元均与所述AI触觉诊疗算法单元连接，所述目标体气味检测单元均与所述***物数据输出单元、所述口腔排出气体数据输出单元连接，所述***物数据输出单元和所述口腔排出气体数据输出单元均所述AI嗅觉诊疗算法单元连接。
  4. 根据权利要求3所述的动物和植物的AI环境监控和AI诊疗算法***，其特征在于，所述AI听觉诊疗算法单元包括听觉算法模块和与所述听觉算法模块连接的AI听觉神经单元，所述听觉算法模块与所述录像数据输出单元连接；所述AI视觉诊疗算法单元包括行为视觉算法单元和与所述行为视觉算法单元连接的AI视觉神经单元，所述视觉算法模块包括行为视觉算法单元、动态视觉算法模块和静态视觉算法模块，所述行为视觉算法单元和所述动态视觉算法模块均与所述录像数据输出单元连接，所述静态视觉算法模块与所述拍照数据输出单元连接；所述AI触觉诊疗算法单元包括依次连接的触觉数据量化模块、触觉算法模块和AI触觉神经单元，所述触觉数据量化模块分别与所述体温数据输出单元、所述脉搏数据输出单元连接，所述AI嗅觉诊疗算法单元包括嗅觉算法模块和与所述嗅觉算法模块连接的AI嗅觉神经单元，所述嗅觉算法模块分别与所述***物数据输出单元、所述口腔排出气体数据输出单元连接；其中：
    所述AI听觉神经单元、所述AI视觉神经单元、所述AI触觉神经单元和所述AI嗅觉神经单元均与所述AI诊疗综合评估单元连接。
  5. 根据权利要求4所述的动物和植物的AI环境监控和AI诊疗算法***，其特征在于，所述AI诊疗算法模块还包括深度智能学习大脑单元，所述深度智能学习大脑单元用于接收所述AI诊疗综合评估单元的所述健康诊疗综合结果，并对所述健康诊疗综合结果进行深度学习获得正确诊疗大数据，，将所述正确诊疗大数据分别发送给所述听觉算法模块、所述视觉算法模块、所述触觉算法模块和所述触觉算法模块，并为他们深度智能学习提供条件。
  6. 根据权利要求5所述的动物和植物的AI环境监控和AI诊疗算法***，其特征在于，所述AI诊疗算法单元还包括目标体大数据单元，所述目标体大数据单元包括嘴巴大数据单元、五官大数据单元、体温大数据单元、脉搏大数据单元和气体大数据单元；所述AI诊疗算法单元还包括听觉病种预测单元、视觉病种预测单元、触觉病种预测单元和嗅觉病种预测单元，所述听觉算法模块还包括嘴巴器官捕捉单元、嘴巴行为提取单元和嘴巴状态判定单元，所述视觉算法模块还包括五官器官捕捉单元、五官行为提取单元、五官状态判定单元，所述触觉算法模块还包括体温状况判定单元和脉搏状况判定单元，所述嗅觉算法模块还包括气体成分分析单元、气体特点提取单元和气体状态判定单元，所述AI诊疗综合评估单元包括AI诊疗权重算法单元、病种预测评分比单元和病种判定结果单元，其中：
    所述嘴巴器官捕捉单元、所述嘴巴行为提取单元、所述嘴巴大数据单元、所述嘴巴状态判定单元、所述AI听觉神经单元和所述听觉病种预测单元依次连接；所述五官器官捕捉单元、所述五官行为提取单元、所述五官大数据单元、所述五官状态判定单元、所述AI视觉神经单元和所述视觉病种预测单元依次连接，所述体温大数据单元、所述体温状况判定单元、所述AI触觉神经单元和所述触觉病种预测单元依次连接，所述脉搏大数据单元、所述脉搏状况判定单元和所述AI触觉神经单元依次连接，所述气体成分分析单元、所述气体特点提取单元、所述气体状态判定单元、所述气体大数据单元、所述气体状态判定单元、所述AI嗅觉神经单元和所述嗅觉病种预测单元依 次连接；
    所述听觉病种预测单元、所述视觉病种预测单元、所述触觉病种预测单元和所述嗅觉病种预测单元均与所述AI诊疗权重算法单元连接，所述病种判定结果单元用于接收所述AI诊疗权重算法单元的诊疗权重算法结果并进行病种判定获得病种结论，还用于将所述病种结论发送给所述深度智能学习大脑单元，所述深度智能学习大脑单元与所述目标体大数据单元连接；
    所述病种预测百分比单元用于接收所述AI诊疗权重算法单元的所述诊疗权重算法结果并进行预测和百分比换算获得和输出诊疗结果。
  7. 根据权利要求3所述的动物和植物的AI环境监控和AI诊疗算法***，其特征在于，所述AI诊疗算法单元还包括病种大数据单元，所述病种大数据单元用于向所述AI诊疗综合评估单元发送病种大数据。
  8. 根据权利要求1所述的动物和植物的AI环境监控和AI诊疗算法***，其特征在于，所述AI环境监控混合算法模块还包括AI环境监控报警显示单元，所述AI环境监控报警显示单元还包括第一级报警单元、第二级报警单元和第三级报警单元。
  9. 根据权利要求1所述的动物和植物的AI环境监控和AI诊疗算法***，其特征在于，所述动物和植物的AI环境监控和AI诊疗算法***还包括电源适配器单元和物联卡模组单元，所述电源适配器单元和所述物联卡模组单元均与所述主控芯片数据输出模块连接，所述电源适配器单元用于把外部电压转化为支持所述动物和植物健康监控***运行的电压，所述物联卡模组单元为所述动物和植物健康监控***和网络建立传输信道以提供通讯传输服务。
  10. 一种动物和植物的AI环境监控和AI诊疗算法***装置，其特征在于，所述动物和植物数据采集监控诊疗装置包括所述权利要求1～9任一所述的动物和植物的AI环境监控和AI诊疗算法***。
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