CN115167587A - Self-learning-based henhouse breeding environment health monitoring control system and method - Google Patents
Self-learning-based henhouse breeding environment health monitoring control system and method Download PDFInfo
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- CN115167587A CN115167587A CN202210931977.XA CN202210931977A CN115167587A CN 115167587 A CN115167587 A CN 115167587A CN 202210931977 A CN202210931977 A CN 202210931977A CN 115167587 A CN115167587 A CN 115167587A
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- RWSOTUBLDIXVET-UHFFFAOYSA-N Dihydrogen sulfide Chemical compound S RWSOTUBLDIXVET-UHFFFAOYSA-N 0.000 claims description 4
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D27/00—Simultaneous control of variables covered by two or more of main groups G05D1/00 - G05D25/00
- G05D27/02—Simultaneous control of variables covered by two or more of main groups G05D1/00 - G05D25/00 characterised by the use of electric means
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
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Abstract
The system comprises a control server, a data acquisition and processing module, a regulation and control module and controlled equipment, wherein the control server analyzes whether the range of the data exceeds a cultivation standard environment data threshold value or not according to the henhouse environment data, video data in the henhouse, audio data and control data in the henhouse and a cultivation standard environment data range, whether cultivation environment abnormity occurs or not, marks abnormal indexes and positions, sends an autonomous control instruction to the regulation and control module according to a preset control strategy or sends a user control instruction to the regulation and control module, judges whether to learn and update the preset control strategy according to a score obtained by a feedback environment evaluation model after the user control instruction regulates and controls a period T, optimizes henhouse environment control, and accordingly ensures safe production of the henhouse.
Description
Technical Field
The disclosure relates to the technical field of breeding environment control, in particular to a self-learning-based henhouse breeding environment health monitoring method and system.
Background
The statements in this section merely provide background information related to the present disclosure and may not constitute prior art.
Since the technical industry of the autotrophic chicken is scaled up, scientific and effective feeding management methods are continuously sought. The development from the ground culture to the net culture is mainly carried out from the first treatment to the scientific prevention, but the benefit is good, the benefit is bad and the development is extremely unstable. The research shows that the main reason is caused by environmental factors, the environment of the henhouse has an important influence on the growth of the chickens, the condition of the environment of the henhouse directly influences the health of the chickens, and the manufacturing of a good henhouse environment is very important. Environmental factors such as the temperature, the humidity, the illumination intensity, the oxygen concentration, the carbon dioxide concentration and the like of the chicken coop are the keys for preventing and controlling diseases and improving the production efficiency, and the proper growth environment can enhance the disease resistance of chicken flocks and ensure normal production performance indexes.
However, in the traditional poultry environment control, a plurality of systems are independently controlled, for example, if the temperature in a chicken house exceeds the range of the cultivation standard temperature, a fan and a water curtain are started, but the power of the fan, the size of a ventilation window and the starting time cannot be precisely controlled; lag control often occurs in the traditional control, for example, after the temperature in the chicken house exceeds the range of the standard breeding temperature, a certain time is needed for cooling by using a fan water curtain, and the health risk of the chicken flock in an abnormal environment is greatly increased in the time; in addition, the traditional control cannot realize remote monitoring and control of the control equipment.
Disclosure of Invention
The system and the method have the advantages that the breeding standard environmental data and various data in the henhouse are collected and analyzed, the control model of the henhouse is trained according to the collected data and the control data, control parameters are optimized, accordingly, environment control of the henhouse is optimized, the environmental data in the henhouse can be remotely monitored, and safety production of the henhouse is guaranteed.
According to some embodiments, the following technical scheme is adopted in the disclosure:
a self-learning based chicken coop breeding environment health monitoring control system comprises a control server, a data acquisition and processing module, a regulation and control module and controlled equipment; the control server, the data acquisition and processing module and the controlled equipment are all connected with the regulation and control module;
the data acquisition and processing module is used for acquiring various data, arranging and converting the data and transmitting the data to the regulation and control module, and the regulation and control module receives the data and then sends the data to the control server;
the control server is connected with the user terminal, and is used for receiving user control instructions uploaded by users, generating autonomous control instructions, sending the autonomous control instructions or the user control instructions to the regulation and control module, sending the control instructions to corresponding controlled equipment by the regulation and control module, and adjusting the running state of the controlled equipment and adjusting the parameters of the breeding environment of the henhouse by the controlled equipment according to the corresponding control instructions.
According to other embodiments, the following technical scheme is adopted in the disclosure:
a self-learning-based henhouse breeding environment health monitoring control method comprises the following steps:
acquiring environmental data, video and audio data in the chicken coop, analyzing the adaptation degree of the chicken flock to the environment and abnormal body temperature conditions according to the video and audio data, and marking abnormal indexes and positions; and judging and updating the learning of the preset control strategy according to the score obtained by regulating and controlling the feedback environment evaluation model after one period by the user control instruction.
Further, the control instructions include, but are not limited to, increasing or decreasing heating device power; the size of the opening area of the ventilation window; the power of the fan is increased or reduced; opening or closing the water curtain; illumination intensity of the illumination lamps in the henhouse.
Compared with the prior art, this disclosed beneficial effect does:
the system collects and analyzes cultivation standard environmental data, environmental data in the henhouse, outdoor environmental data, video data in the henhouse and audio data in the henhouse, trains a control model algorithm of the henhouse according to the collected data and control data, optimizes control parameters so as to optimize henhouse environmental control, and a user can remotely monitor the environmental data in the henhouse through a terminal and can switch manual remote operation under certain special conditions so as to ensure the safety production of the henhouse; this is disclosed effectual solved can't be through chicken coop environmental factor, through the control of independently learning's mode optimization chicken coop environment to can be by artifical remote monitoring operation control's problem.
Drawings
The accompanying drawings, which are included to provide a further understanding of the disclosure, illustrate embodiments of the disclosure and together with the description serve to explain the disclosure and are not to be construed as limiting the disclosure.
FIG. 1 is a system connection block diagram of the present disclosure;
FIG. 2 is a device profile of the present disclosure;
FIG. 3 is a flow chart of a method control of the present disclosure;
FIG. 4 is a self-learning flow chart of the present disclosure.
The specific implementation mode is as follows:
the present disclosure is further described with reference to the following drawings and examples.
It should be noted that the following detailed description is exemplary and is intended to provide further explanation of the disclosure. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this disclosure belongs.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments according to the present disclosure. As used herein, the singular forms "a", "an", and "the" are intended to include the plural forms as well, and it should be understood that when the terms "comprises" and/or "comprising" are used in this specification, they specify the presence of stated features, steps, operations, devices, components, and/or combinations thereof, unless the context clearly indicates otherwise.
Example 1
An embodiment of the present disclosure provides a self-learning based health monitoring and controlling system for a chicken house breeding environment, as shown in fig. 1, which includes a control server, a data acquisition and processing module, a regulation and control module, and controlled equipment, where the control server, the data acquisition and processing module, and the controlled equipment are all connected to the regulation and control module.
The data acquisition module is used for acquiring various data, arranging and converting the data and transmitting the data to the regulation and control module, and the regulation and control module receives the data and then sends the data to the control server;
the control server is connected with the user terminal, and is used for receiving user control instructions uploaded by users, generating autonomous control instructions and sending the autonomous control instructions or the user control instructions to the regulation and control module, the regulation and control module sends the control instructions to corresponding controlled equipment, and the controlled equipment adjusts the running state of the controlled equipment according to the corresponding instructions and adjusts the parameters of the breeding environment of the henhouse.
Specifically, the data acquisition processing module comprises a data acquisition module and a data processing module, the data acquisition module is responsible for acquiring environmental data in the chicken coop, outdoor environmental data, video data in the chicken coop and audio data in the chicken coop through environmental factor acquisition equipment, transmitting the acquired data to the data processing module, and the data processing module is responsible for arranging and converting the data and then transmitting the data to the regulation and control module.
Furthermore, the environmental data in the henhouse comprise temperature data in the henhouse, illumination data in the henhouse, humidity data in the henhouse, oxygen concentration data in the henhouse, carbon dioxide concentration data in the henhouse, ammonia concentration data in the henhouse, hydrogen sulfide concentration data in the henhouse and carbon monoxide concentration data in the henhouse.
The outdoor environment data includes outdoor temperature data and outdoor lighting data. Video data includes the chicken state data and the chicken body temperature data of each layer chicken coop in the chicken coop, audio data includes the chicken audio data of each layer chicken coop in the chicken coop. The data are collected through the environmental factor collecting device and then collected to the data collecting and processing module.
The environment factor acquisition equipment comprises a temperature sensor, an illumination sensor, a humidity sensor, an oxygen sensor, a carbon dioxide sensor, an ammonia gas sensor, a hydrogen sulfide sensor and a carbon monoxide sensor.
Specifically, the acquired data are uploaded to a regulation and control module, the regulation and control module receives the environmental data in the chicken coop, the outdoor environmental data, the video data in the chicken coop and the audio data in the chicken coop, which are transmitted by the data acquisition and processing module, sends the acquired environmental data and the acquired control data to a control server, receives an autonomous control instruction or a user control instruction sent by the control server, and sends the control instruction to corresponding controlled equipment.
As an embodiment, the control server is connected to the user terminal, and is configured to receive the henhouse environment data and control uploaded by the regulation and control module, analyze whether the henhouse environment data and the control data exceed the cultivation standard environment data threshold according to the henhouse environment data, the video data in the henhouse, the audio data and the control data in the henhouse, and the cultivation standard environment data range, and whether the cultivation environment is abnormal or not, mark an abnormal index and a position, alarm to cultivation personnel through the user terminal, analyze whether the adaptation degree of the chicken flocks to the environment and the body temperature are abnormal or not according to the video data and the audio data in the henhouse, and mark the abnormal index and the position, send the autonomous control instruction to the regulation and control module according to a preset control strategy, or send the user control instruction to the regulation and control module, and judge to learn and update the preset control strategy according to a score obtained by a feedback environment evaluation model after a period T is regulated and controlled by the user control instruction:
specifically, the preset control strategy is judged to be updated according to the score obtained by a feedback environment evaluation model after a regulation and control period of 15min regulated and controlled by a user control instruction: if the feedback environment evaluation model score is closer to the best than the historical preset score under the same environment condition, namely the score obtained after regulation is higher, learning and updating the preset regulation strategy under the corresponding environment, namely updating the preset strategy under the corresponding environment condition stored in a database in the control server; otherwise, the user regulation strategy is abandoned to be recorded.
The controlled equipment is used for receiving the control instruction sent by the regulating and controlling module and regulating the running state of the controlled equipment according to the corresponding control instruction, so that the parameters of the breeding environment of the henhouse are regulated.
The feedback environment evaluation model comprises a temperature and humidity evaluation model and a harmful gas evaluation model.
As an embodiment, the feedback environment evaluation model specifically includes:
the temperature and humidity evaluation model obtains a temperature score according to the offset of the real-time environment data to the cultivation standard environment data, the humidity score and each harmful gas score obtain a temperature and humidity score according to a temperature and humidity evaluation model expression, a harmful gas score is obtained according to a harmful gas evaluation model expression, and a feedback environment score is obtained according to a feedback environment evaluation model expression.
The temperature and humidity evaluation model expression is as follows:
wherein S is t Is a temperature score, S h Is a humidity score, W t Is a temperature weight, W h Is the humidity weight.
The harmful gas evaluation model expression is as follows:
wherein S is i Score for each noxious gas, W i The weight of each harmful gas.
The feedback environment evaluation model expression is as follows:
wherein S is th For temperature and humidity scoring, S g Scoring for noxious gases, W th Is a weight of temperature and humidity, W g Is the harmful gas weight.
Specifically, the regulation and control module comprises a data transmission module and a control module; and the data transmission module is connected with the control module and the control server. The data transmission module is used for receiving the environmental data transmitted by the data acquisition and processing module and the control data sent by the control module and sending the environmental data and the control data to the control server; and the data transmission module is used for receiving the autonomous control instruction or the user control instruction sent by the control server and sending the autonomous control instruction or the user control instruction to the control module. The control module is used for receiving the control instruction sent by the data transmission module and sending the control instruction to the corresponding controlled device, and the instruction includes but is not limited to: the power of the heating equipment is increased/reduced, the opening area of the ventilation window is increased/reduced, the power of the fan is increased/reduced, the water curtain is opened/closed, the illumination intensity of the illuminating lamp in the henhouse is increased, and control data are sent to the data transmission module.
And the controlled equipment receives the instruction transmitted by the control module of the regulating and controlling module, and adjusts the state of the controlled equipment according to the instruction so that the current environment is matched with the range of the cultivation standard environment data corresponding to the current growth stage of the chicken flock. As shown in fig. 2, the controlled apparatus includes: heating equipment, ventilation window, fan, cascade, light.
Preferably, the user terminal includes: the mobile terminal and the PC terminal can be connected with the control server in a wired or wireless mode.
Example 2
The embodiment of the disclosure provides a henhouse breeding environment health monitoring control method based on self-learning, and the henhouse breeding environment health monitoring control system based on self-learning comprises a data acquisition processing module, a regulation and control module, a control server and controlled equipment, wherein the data acquisition processing module and the controlled equipment are both connected with the regulation and control module, and the data acquisition processing module transmits acquired environment data to the regulation and control module; and the controlled equipment receives the control instruction sent by the regulation and control module, adjusts the state of the corresponding controlled equipment and then sends the control data to the regulation and control module.
The data acquisition processing module consists of a data acquisition module and a data processing module; the data acquisition module is responsible for acquiring environmental data in the henhouse, outdoor environmental data, video data in the henhouse and audio data in the henhouse through the environmental factor acquisition equipment and transmitting the acquired data to the data processing module; the data processing module is responsible for arranging, converting and transmitting all data to the regulating and controlling module.
The control module is used for receiving the environmental data in the chicken coop, the outdoor environmental data, the video data in the chicken coop and the audio data in the chicken coop transmitted by the data acquisition and processing module, sending the acquired environmental data and the control data to the control server, receiving the autonomous control instruction or the user control instruction sent by the control server, and sending the control instruction to the corresponding controlled equipment.
The control server is connected with the user terminal and used for receiving henhouse environment data and control uploaded by the regulation and control module, a user instruction uploaded by the user terminal is analyzed whether to exceed a cultivation standard environment data threshold value or not according to henhouse environment data, video data in the henhouse, audio data and control data in the henhouse and a cultivation standard environment data range, whether cultivation environment is abnormal or not is judged, abnormal indexes and positions are marked, the user terminal gives an alarm to cultivation personnel, whether the adaptation degree of a chicken flock to the environment and the body temperature are abnormal or not is analyzed according to the video data in the henhouse and the audio data in the henhouse, the abnormal indexes and positions are marked, an autonomous control instruction is sent to the regulation and control module according to a preset control strategy or the user control instruction is sent to the regulation and control module, and the learning and updating of the preset control strategy are judged according to scores obtained by a feedback environment evaluation model after the user control instruction is regulated and controlled for a period of 15 min: if the feedback environment evaluation model score is closer to the best in comparison with the historical preset score under the same environment condition, namely the score obtained after regulation is higher, learning and updating the preset regulation strategy under the corresponding environment, namely updating the preset strategy under the corresponding environment condition stored in the database in the control server; otherwise, the user regulation strategy is abandoned.
The regulation and control module comprises a data transmission module and a control module; and the data transmission module is connected with the control module and the control server. The data transmission module is used for receiving the environmental data transmitted by the data acquisition and processing module and the control data sent by the control module and sending the environmental data and the control data to the control server; and the data transmission module is used for receiving the autonomous control instruction or the user control instruction sent by the control server and sending the autonomous control instruction or the user control instruction to the control module. The control module is used for receiving the control instruction sent by the data transmission module and sending the control instruction to the corresponding controlled device, and the instruction includes but is not limited to: the power of the heating equipment is increased/reduced, the opening area of the ventilation window is increased/reduced, the power of the fan is increased/reduced, the water curtain is opened/closed, the illumination intensity of the illuminating lamp in the henhouse is increased, and control data are sent to the data transmission module.
The controlled equipment receives the instruction transmitted by the control module of the regulating and controlling module, and adjusts the state of the controlled equipment according to the instruction so that the current environment is matched with the range of the cultivation standard environment data corresponding to the current growth stage of the chicken flock.
As an embodiment, as shown in fig. 3, a specific monitoring control flow method includes:
collecting data in the henhouse and outdoor data, giving a preset control strategy according to the current real-time data in the henhouse and the current outdoor data, sending a control instruction to each controlled device through a regulation module by the control strategy to regulate the environment in the henhouse, judging whether a cultivation standard environment data threshold value is exceeded or not, judging whether the cultivation environment is abnormal or not, marking abnormal indexes and positions, giving an alarm to cultivation personnel through a user terminal, and monitoring the condition in the henhouse in real time and regulating the running condition of the controlled device at any time by the cultivation personnel;
after adjusting the operation state of the controlled equipment for 15min according to a preset control strategy, if the score of the feedback environment evaluation model is closer to the best, namely the score obtained after the adjustment is higher, maintaining the current adjustment and control strategy unchanged and recording the current adjustment and control strategy as a historical preset score until the score of the feedback environment evaluation model detected in real time exceeds the threshold value of the cultivation standard environment data, and adjusting again according to the corresponding preset control strategy; after adjusting the operation state of the controlled equipment for 15min according to a preset control strategy, if the score of the feedback environment evaluation model is more deviated from the best score compared with the score before regulation, namely the score obtained after regulation is lower, adjusting again according to the corresponding preset control strategy;
specifically, as shown in fig. 4, the procedure of performing adaptive learning includes:
the state of the controlled equipment can be adjusted by the breeder at any moment, real-time environment data are recorded when the equipment is adjusted, after the controlled equipment adjusts the running state for 15min, if the score of the feedback environment evaluation model is closer to the best than the historical preset score under the same environment condition, namely the score obtained after the adjustment is higher, the preset adjustment and control strategy under the corresponding environment is learned and updated, namely the preset strategy under the corresponding environment condition stored in a database in a control server is updated; otherwise, the user regulation strategy is abandoned.
The present disclosure is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the disclosure. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Although the present disclosure has been described with reference to specific embodiments, it should be understood that the scope of the present disclosure is not limited thereto, and those skilled in the art will appreciate that various modifications and changes can be made without departing from the spirit and scope of the present disclosure.
Claims (10)
1. A self-learning based chicken coop breeding environment health monitoring control system is characterized by comprising a control server, a data acquisition and processing module, a regulation and control module and controlled equipment; the control server, the data acquisition and processing module and the controlled equipment are all connected with the regulation and control module;
the data acquisition and processing module is used for acquiring various data, arranging and converting the data and transmitting the data to the regulation and control module, and the regulation and control module receives the data and then sends the data to the control server;
the control server is connected with the user terminal, and is used for receiving user control instructions uploaded by users, generating autonomous control instructions and sending the autonomous control instructions or the user control instructions to the regulation and control module, the regulation and control module sends the control instructions to corresponding controlled equipment, and the controlled equipment adjusts the running state of the controlled equipment according to the corresponding control instructions and adjusts the parameters of the breeding environment of the henhouse.
2. The self-learning based hen house farming environment health monitoring control system of claim 1, wherein the data collected by the data collection and processing module comprises: environmental data in the chicken coop, outdoor environmental data, video data in the chicken coop, and audio data in the chicken coop.
3. The self-learning based henhouse farming environment health monitoring control system of claim 2, wherein the henhouse environment data comprises: temperature data, lighting data, humidity data, oxygen concentration data, carbon dioxide concentration data, ammonia concentration data, hydrogen sulfide concentration data, and carbon monoxide concentration data.
4. The self-learning based henhouse farming environment health monitoring control system of claim 2, wherein the outdoor environment data comprises: outdoor temperature data and outdoor lighting data.
5. The self-learning based hen house farming environment health monitoring control system of claim 1, wherein the data acquisition and processing module comprises a temperature sensor, a light sensor, a humidity sensor, an oxygen sensor, a carbon dioxide sensor, an ammonia sensor, a hydrogen sulfide sensor and a carbon monoxide sensor.
6. The self-learning-based henhouse breeding environment health monitoring and controlling system as claimed in claim 1, wherein the regulating and controlling module includes a data transmission module and a control module, the data transmission module is configured to receive the environment data transmitted by the data collecting and processing module and the control data transmitted by the control module, and transmit the environment data and the control data to the control server, and meanwhile, the data transmission module is configured to receive an autonomous control command or a user control command transmitted by the control server and transmit the autonomous control command or the user control command to the control module.
7. The self-learning-based henhouse breeding environment health monitoring and controlling system as claimed in claim 1, wherein the control server analyzes whether a breeding standard environment data threshold value is exceeded or not and whether a breeding environment is abnormal or not according to henhouse environment data, henhouse video data, henhouse audio data and control data and a breeding standard environment data range, marks abnormal indexes and positions and gives an alarm to breeding personnel through a user terminal.
8. The self-learning-based henhouse breeding environment health monitoring and controlling system as claimed in claim 7, wherein the system analyzes whether the adaptation degree and the body temperature of the chicken flocks to the environment are abnormal or not according to the video data and the audio data in the henhouse, marks abnormal indexes and positions, sends an autonomous control instruction to the regulating and controlling module according to a preset control strategy or sends a user control instruction to the regulating and controlling module, and judges to learn and update the preset control strategy according to scores obtained by a feedback environment evaluation model after the user control instruction is regulated and controlled for one period.
9. A self-learning-based henhouse breeding environment health monitoring control method is characterized by comprising the following steps: acquiring environmental data, video and audio data in the chicken coop, analyzing the environmental adaptation degree and abnormal body temperature conditions of the chicken flocks according to the video and audio data, and marking abnormal indexes and positions; and judging and updating the learning of the preset control strategy according to the score obtained by regulating and controlling the feedback environment evaluation model after one period by the user control instruction.
10. The self-learning-based henhouse farming environment health monitoring control method of claim 9, wherein the control instructions include, but are not limited to, increasing or decreasing heating equipment power; the size of the opening area of the ventilation window; the power of the fan is improved or reduced; opening or closing the water curtain; the illumination intensity of the illuminating lamps in the henhouse.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN115903577A (en) * | 2022-10-26 | 2023-04-04 | 淮阴工学院 | Environmental balance adjusting equipment based on HPO algorithm |
| CN116029604A (en) * | 2023-02-03 | 2023-04-28 | 华南农业大学 | Cage-raised meat duck breeding environment regulation and control method based on health comfort level |
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| CN116466778A (en) * | 2023-03-27 | 2023-07-21 | 山东科技大学 | Automatic chicken house ventilation control method based on data driving and event reasoning |
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| CN116795153A (en) * | 2023-05-11 | 2023-09-22 | 重庆市畜牧技术推广总站 | Pig farm environment control system and method |
| CN116795153B (en) * | 2023-05-11 | 2024-04-09 | 重庆市畜牧技术推广总站 | Pig farm environment control system and method |
| CN118500478A (en) * | 2024-06-17 | 2024-08-16 | 杭州杰萌疫病防控科技有限公司 | Environment detection system for farm |
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