CN115629567A - Multi-mode information management system, early warning method and storage medium for livestock and poultry farm - Google Patents
Multi-mode information management system, early warning method and storage medium for livestock and poultry farm Download PDFInfo
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Abstract
The invention provides a multi-mode information management system, an early warning method and a storage medium for a livestock and poultry farm, wherein the system comprises data acquisition equipment, a server and a client; the data acquisition equipment is arranged in the poultry house of the farm and is used for acquiring environmental data, camera image data, microphone audio data and environmental control equipment running state data; the server is carried on an industrial personal computer, is arranged in a poultry house of a farm, and uploads environmental data, camera image data, microphone audio data and environmental control equipment running state data which are acquired by data acquisition equipment in real time as multi-mode data to a data storage module; and the client is used for processing the data in the data storage module and presenting the processing result to the user in a visual form. According to the invention, the labor cost for detecting abnormity is reduced, the working efficiency of manually monitoring the production information of the farm is improved, the contact between workers and livestock is reduced, and the disease infection is effectively prevented.
Description
Technical Field
The invention relates to a multi-mode information management system, an early warning method and a storage medium for a livestock and poultry farm, and belongs to the field of intelligent management of the livestock and poultry farm.
Background
In recent years, the center of gravity of livestock and poultry breeding in our country gradually shifts from individual breeding to large-scale enterprise breeding. In order to save labor cost and improve working efficiency, enterprises which realize large-scale livestock and poultry breeding gradually abandon traditional manual management methods in management methods, and adopt intelligent comprehensive management methods which mainly adopt internet technology to assist the management of the enterprises in the aspect of livestock and poultry breeding, so that the breeding system realizes real intellectualization.
At present, a plurality of intelligent management systems are applied to the field of livestock and poultry breeding industry. For example, the system is a farm environment intelligent management system which uses various environment sensors to comprehensively monitor the environment in a farm poultry house; the intelligent farm monitoring management system is used for monitoring the poultry houses of the farms in real time by combining the cameras; an intelligent office management system for assisting enterprises in carrying out employee management and daily work of employees and the like.
However, in the field of livestock and poultry breeding at present, functions of recording livestock and poultry growth parameters, monitoring environmental parameters in a livestock and poultry house, monitoring the operation condition of equipment in the livestock and poultry house, monitoring the condition of the livestock and poultry house and the like are all realized by different intelligent management systems, and the cooperative early warning cannot be realized for abnormal conditions occurring in the environment of the livestock and poultry. The mode of coexistence use of multiple intelligent management systems also has the defects that information of each system cannot be shared, account passwords are easy to be confused by users and the like, and is not suitable for the standardized and integrated management requirement of the livestock and poultry breeding industry at present.
Disclosure of Invention
The invention aims to overcome the defects of the prior art, and provides a multi-mode information management system for livestock and poultry farms, which reduces the labor cost for abnormal detection and improves the working efficiency for manually monitoring the production information of the farms, so that users can remotely check various information data in the livestock and poultry houses, control and schedule hardware acquisition equipment, reduce the contact of workers and livestock and poultry, and effectively prevent disease infection.
The second objective of the present invention is to provide a multimodal information management method for livestock and poultry farms, which is applied to the multimodal information management system for livestock and poultry farms.
A third object of the present invention is to provide a computer-readable storage medium.
The first purpose of the invention can be achieved by adopting the following technical scheme:
a multi-mode information management system for livestock and poultry farms comprises data acquisition equipment, a server and a client;
the data acquisition equipment is arranged in a poultry house of a farm and is used for acquiring environmental data, camera image data, microphone audio data and environmental control equipment running state data;
the server is carried on an industrial personal computer, is arranged in a poultry house of a farm and is used for sending an acquisition instruction to the data acquisition equipment and uploading environmental data, camera image data, microphone audio data and environmental control equipment running state data acquired by the data acquisition equipment in real time as multi-mode data to the data storage module;
and the client is used for processing the data in the data storage module and presenting the processing result to the user in a visual form.
Further, data acquisition equipment includes camera, microphone, current transformer, ring accuse case and patrols and examines the tracked vehicle, the camera includes the fixed point camera and patrols and examines the camera, the ring accuse case includes the fixed point ring accuse case and patrols and examines the ring accuse case, patrol and examine the camera and patrol and examine the ring accuse case and install on patrolling and examining the tracked vehicle, current transformer installs on environmental control equipment.
Further, fixed point ring accuse case and patrol and examine ring accuse case and all include temperature sensor, humidity transducer, illumination intensity sensor, carbon dioxide concentration sensor, hydrogen sulfide concentration sensor, ammonia concentration sensor and air velocity transducer.
Further, patrol and examine and install the lift post on the tracked vehicle, patrol and examine the camera and install on the lift post of patrolling and examining the tracked vehicle, patrol and examine the environmental control case and install on the front side and the lift post of patrolling and examining the tracked vehicle.
Further, the environment control device comprises a fan and a water curtain.
Further, the client includes:
the patrol scheduling module is used for regulating and controlling the behavior of the patrol tracked vehicle according to the position information of the patrol tracked vehicle;
the health detection module comprises an audio detection submodule and a video detection submodule; the audio detection submodule is used for analyzing the microphone audio data by using an audio detection algorithm and marking poultry individuals with abnormal audio behaviors; the video detection submodule is used for analyzing the image data of the camera in real time by using a disease detection algorithm and marking poultry individuals with abnormal video behaviors;
the video monitoring module is used for displaying real-time pictures shot by the camera;
the equipment monitoring module is used for monitoring the running state of the environmental control equipment and alarming when the running state is abnormal;
the environment monitoring module is used for monitoring the environment data, alarming for environment abnormity when the environment data is abnormal, predicting the environment data by using a data mining technology, and alarming for environment abnormity when the development trend of the environment data is obviously different;
the production parameter monitoring module is used for inputting and displaying the individual production data of the poultry in the data storage module;
and the field information management module is used for inputting and displaying the field basic information in the data storage module.
Further, the client further includes:
the biological detection module is used for inputting and displaying the poultry individual appearance determination and in-vivo determination data in the data storage module;
the poultry performance detection module is used for inputting and displaying the poultry performance data in the data storage module;
and the user login module is used for controlling the access authority.
The second purpose of the invention can be achieved by adopting the following technical scheme:
a multi-mode information early warning method for a livestock and poultry farm is applied to the multi-mode information management system for the livestock and poultry farm, and comprises the following steps:
acquiring environment data, camera image data, microphone audio data, environment control equipment operation state data and poultry individual production data;
monitoring the running state data of the environmental control equipment, and giving an abnormal alarm to the equipment when the running state is abnormal;
monitoring environmental data, performing environmental anomaly alarm when the environmental data is abnormal, predicting the environmental data by using a data mining technology, and performing environmental anomaly alarm when the development trend of the environmental data is obviously different;
analyzing the image data of the camera in real time by using a disease detection algorithm, and marking poultry individuals with abnormal video behaviors;
analyzing microphone audio data by using an audio detection algorithm, and marking poultry individuals with abnormal audio behaviors;
and abnormal data corresponding to the poultry individual with abnormal behaviors, and poultry individual production data, environment data, camera image data and microphone audio data matched with the abnormal data are called, and the abnormal state of the poultry individual is confirmed and processed.
Further, the poultry individual production data, the environment data, the camera image data and the microphone audio data which are matched with the abnormal data are respectively poultry individual production data corresponding to the abnormal poultry individual under the poultry number, the environment data which is consistent with the abnormal data acquisition time, the camera image data of multiple directions and multiple frames of the abnormal poultry individual and the microphone audio data which is consistent with the abnormal data acquisition time.
The third purpose of the invention can be achieved by adopting the following technical scheme:
a computer-readable storage medium storing a program which, when executed by a processor, implements the above-described multi-modal information early warning method for a livestock farm.
Compared with the prior art, the invention has the following beneficial effects:
1. the system and the method enable a user to remotely check the real-time position information of the patrol crawler, the farm poultry house monitoring picture, the poultry individual patrol image, the poultry individual audio, the farm poultry house environmental parameter, the farm poultry house equipment running state, the poultry individual growth parameter and the poultry performance data, and can also schedule the camera and the patrol crawler, reduce the contact of workers and livestock and effectively prevent disease infection.
2. The invention adopts a mode of combining fixed-point monitoring and inspection monitoring, so that a user can observe the working condition of the inspection trolley through the fixed-point camera while acquiring the poultry house monitoring picture of the fixed-point farm and the poultry house monitoring picture of the inspection farm, and can effectively and timely inspect possible faults of the inspection trolley
3. The environment sensor is used for comprehensively monitoring various environmental information in the poultry house of the farm in a mode of combining fixed point and routing inspection movement, so that the condition in the poultry house of the farm can be checked more comprehensively, and the working efficiency is improved; in addition, the trend of various environmental data acquired by an environmental sensor can be predicted by using a data mining technology, and an environmental anomaly reminding short message is sent to a user when the development trend of the environmental data is obviously different; the health state of the poultry individual audio and the poultry individual patrol image is detected by using a deep learning algorithm, so that the labor cost is reduced.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the structures shown in the drawings without creative efforts.
Fig. 1 is a block diagram of a multi-modal information management system of a livestock farm according to embodiment 1 of the present invention.
Fig. 2 is a block diagram of the structure of a client and a data storage module in the multimodal information management system for a livestock farm according to embodiment 1 of the present invention.
Fig. 3 is a flowchart of a multi-modal information early warning method for a livestock and poultry farm according to embodiment 1 of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer and more complete, the technical solutions in the embodiments of the present invention will be described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some embodiments of the present invention, but not all embodiments, and all other embodiments obtained by a person of ordinary skill in the art without creative efforts based on the embodiments of the present invention belong to the protection scope of the present invention.
Example 1:
as shown in fig. 1 and fig. 2, the present embodiment provides a multimodal information management system for livestock and poultry farms, which includes a data acquisition device 101, a server 102, and a client 103, where the server 102 and the client 103 form a C/S architecture.
The data acquisition device 101 of the embodiment is arranged in a poultry house of a farm and is used for acquiring environmental data, camera image data, microphone audio data and environmental control device running state data.
Further, data acquisition equipment 101 includes the camera, the microphone, current transformer, ring accuse case and patrol and examine the tracked vehicle, and the camera is used for gathering the image data in the plant pouity dwelling place, specifically is the image data of diversified multiframe, and the ring accuse case is used for gathering environmental data, and the microphone is used for gathering the audio data in the plant pouity dwelling place, and current transformer installs on environmental control equipment for gather environmental control equipment's operating current, and environmental control equipment includes fan and cascade.
In this embodiment, the camera includes the fixed point camera and patrols and examines the camera, the ring accuse case includes fixed point ring accuse case and patrols and examines ring accuse case, the fixed point camera is two, two fixed point cameras are installed in the plant pouity dwelling place, specifically install the front and back position in the plant pouity dwelling place, in order to realize the fixed point control, it is six to patrol and examine the camera, six patrol and examine the camera and install on patrolling and examining the tracked vehicle, in order to realize patrolling and examining, fixed point camera and patrol and examine the camera and all dispose under the LAN in the pouity dwelling place, operating voltage is the 12V direct current.
In this embodiment, ring accuse case is semi-enclosed ring accuse case, including fixed point ring accuse case and patrol and examine ring accuse case, fixed point ring accuse case is installed in the plant pouity dwelling place, specifically installs in the plant pouity dwelling place before, on the both sides wall of middle and back triplex, patrol and examine ring accuse case and install on patrolling and examining the tracked vehicle, fixed point ring accuse case and the operating voltage who patrols and examines ring accuse case are 12 ~ 30V direct current.
Further, patrol and examine and install the lift post on the tracked vehicle, six patrol and examine the camera and install on the different positions of the lift post of patrolling and examining the tracked vehicle, patrol and examine the environmental control case and install on the front side and the lift post of patrolling and examining the tracked vehicle, the lift post can carry out dynamic adjustment to the height according to different pouity houses, the six cameras of patrolling and examining of the different high pouity houses in different positions installation of lift post can patrol and examine the walk both sides simultaneously and look over the poultry condition in the pouity houses of difference.
Furthermore, fixed point ring accuse case and patrol and examine the ring accuse case and all include temperature sensor, humidity transducer, illumination intensity sensor, carbon dioxide concentration sensor, hydrogen sulfide concentration sensor, ammonia concentration sensor and air velocity transducer.
The server 102 of the embodiment is carried on an industrial personal computer, is placed in a poultry house of a farm, and is used for sending a collection instruction to the data collection device, and uploading environmental data, camera image data, microphone audio data and environmental control device running state data collected by the data collection device in real time as multi-mode data to the data storage module 104.
In this embodiment, the data storage module stores a large amount of multi-modal data by using an RDS-version aristoloc database, including text data of various modules, audio data acquired by a microphone in real time, audio data acquired by an audio detection algorithm in real time, image data acquired by a camera in real time, and image data acquired by a disease detection algorithm in real time.
In this embodiment, various environmental sensors (temperature sensor, humidity transducer, illumination intensity sensor, carbon dioxide concentration sensor, hydrogen sulfide concentration sensor, ammonia concentration sensor and air velocity transducer) and current transformer pass through the LORA radio station and upload the environmental parameter and the current parameter who acquires to the data storage module respectively, and LORA radio station and industrial computer electric connection.
The client machine 103 of this embodiment can process the data in the data storage module and present the processing result to the user in a visualized form.
Further, the client comprises a patrol scheduling module, a health detection module, a video monitoring module, an equipment monitoring module, an environment monitoring module, a production parameter monitoring module and a field information management module, and the specific description of each module is as follows:
and the patrol scheduling module is used for regulating and controlling the behavior of the patrol tracked vehicle according to the position information of the patrol tracked vehicle, specifically, the specific position of the patrol tracked vehicle in the poultry house can be obtained in real time, and the behavior of the patrol tracked vehicle is regulated and controlled according to the position information.
The health detection module can realize two functions of audio detection and image detection, so that the health detection module can comprise an audio detection sub-module and a video detection sub-module.
The audio detection submodule is used for analyzing microphone audio data by using an audio detection algorithm and marking poultry individuals with abnormal audio behaviors, specifically, original audio collected by microphone equipment in a poultry house in real time, audio processed by the audio detection algorithm, recording time and sound states are presented to a user in a form of a table, the user can play the specified recorded original audio and the audio processed by the algorithm to compare so as to confirm whether the sound is abnormal, and if the sound is abnormal, the poultry individuals with abnormal audio behaviors are marked.
The video detection submodule is used for analyzing image data of the camera in real time by using a disease detection algorithm and marking poultry individuals with abnormal video behaviors, specifically, images which are acquired by the camera in a poultry house in real time and processed by the disease detection algorithm, behavior states of the poultry individuals and recording time are presented to a user in a form of a table, the user can select, record and compare and check images processed by a multi-azimuth and multi-frame original image of the current poultry individuals and the disease detection algorithm so as to confirm whether the poultry individuals have health problems, and if the poultry individuals have the health problems, the poultry individuals with abnormal video behaviors are marked.
The video monitoring module is used for displaying real-time pictures shot by the camera, specifically adopting the fixed-point camera to carry out fixed-point monitoring in the poultry house, and adopting the inspection camera on the inspection crawler to carry out inspection monitoring in the poultry house.
The device monitoring module is used for monitoring the running state of the environment control device, alarming for device abnormity when the running state is abnormal, specifically, monitoring the running current of the environment control device by using a current transformer, judging that the running state is abnormal when the running current exceeds a preset threshold value, and sending a device fault short message to a user in time for the device with the fault.
The environment monitoring module is used for monitoring environment data, alarming for environment abnormity when the environment data is abnormal, specifically judging whether the temperature, the humidity, the illumination intensity, the carbon dioxide concentration, the hydrogen sulfide concentration, the ammonia gas concentration and the wind speed data exceed preset thresholds or not, if yes, determining that the environment is abnormal, and immediately sending an environment abnormity reminding short message to a user; the method comprises the steps of predicting environmental data by using a data mining technology, giving an alarm on environmental abnormity when the development trend of the environmental data fluctuates obviously, specifically, predicting the trend of various environmental data acquired by an environmental sensor by using the data mining technology, and sending an environmental abnormity reminding short message to a user when the development trend of the environmental data fluctuates obviously (namely, is different obviously); in addition, the environment monitoring module can not only visually display the environmental data monitored in real time and draw the line graph of historical environmental data to dynamically display the change trend of the environmental monitoring data, but also can control the time slot of the environmental data collected by the environmental control box according to the specific conditions of different poultry houses, so that the condition that a large amount of redundant data are accumulated to influence subsequent analysis is avoided.
The production parameter monitoring module is used for inputting and displaying the poultry individual production data in the data storage module, and the poultry individual production data comprises poultry individual information, poultry individual growth parameters, feed intake, water injection, poultry egg management, leaving time, cultivation information and production operation.
The field information management module can realize the functions of viewing, editing and batch exporting of field basic information and is used for inputting and displaying the field basic information in the data storage module, wherein the field basic information comprises field information, stall information, cage position information, strain information, batch information, egg information, elimination categories, cage mixing categories and feather categories.
Further, the client may further include a biometric detection module, a poultry performance detection module, and a user login module, which are specifically described as follows:
and the biological detection module is used for inputting and displaying the poultry individual appearance determination and the in-vivo determination data in the data storage module.
And the poultry performance detection module is used for inputting and displaying the poultry performance data in the data storage module.
The user login module is used for controlling access authority, a user inputs a user name and a password to perform login operation after the system is opened by a computer, and if the user name and the password are failed to be matched and verified, a popup window warning of a user name or a password error is received; and if the user name is successfully matched and verified with the password, entering a main menu interface of the system.
The working flow of the embodiment is as follows: a user configures a camera under a local area network in a poultry house, starts an industrial personal computer, automatically starts a server program in the industrial personal computer, respectively sends an environment parameter and a current parameter acquisition instruction to a ring control box and a current transformer through an LORA radio station electrically connected with the industrial personal computer, uploads data returning to the industrial personal computer by the ring control box and the current transformer through the LORA radio station to a cloud database, opens a system in the computer by the user, inputs a user name and a password for login operation, and receives a popup warning of a user name or a password error if the user name and the password are unsuccessfully matched and verified; and if the user name is successfully matched and verified with the password, entering a system main menu interface. And corresponding data can be checked by clicking the production parameter monitoring module, the environment monitoring module, the equipment monitoring module, the video monitoring module and the poultry performance detection module respectively.
The poultry of this embodiment is a breeding hen, and correspondingly, the poultry house is a chicken house, the poultry performance data is breeding hen performance data, and the poultry individual is a chicken.
As shown in fig. 3, the embodiment provides a multi-modal information early warning method for a livestock and poultry farm, which is applied to the multi-modal information management system for the livestock and poultry farm, and is mainly implemented by a client, and the method includes the following steps:
s301, acquiring environment data, camera image data, microphone audio data, environment control equipment operation state data and poultry individual production data.
The poultry individual production data comprise poultry individual information, poultry individual growth parameters, feed intake, water injection amount, poultry egg management, slaughter time, breeding information and production operation, a system can be recorded in advance, environment data, camera image data, microphone audio data and environment control equipment operation state data are collected through an environment sensor, a camera, a microphone and a current transformer respectively, the data are stored in a data storage module, and a client can directly obtain the data from the data storage module.
S302, monitoring the running state data of the environment control equipment, and giving an abnormal alarm to the equipment when the running state is abnormal.
Monitoring the running currents of a fan and a water curtain in a poultry house of a farm by using a current transformer, and considering that the working state of the equipment is abnormal when the running current exceeds a preset threshold value; and when the working state of the equipment is judged to be abnormal, sending an equipment abnormality reminding short message to a user, and immediately cutting off the power supply of the equipment when the running current of the equipment is overlarge.
And S303, monitoring the environmental data, alarming for environmental abnormity when the environmental data is abnormal, predicting the environmental data by using a data mining technology, and alarming for environmental abnormity when the development trend of the environmental data is obviously different.
The environment data comprises fixed-point environment sensor data and environment sensor data on the inspection crawler, including temperature, humidity, illumination intensity, carbon dioxide concentration, hydrogen sulfide concentration, ammonia concentration and wind speed, and simultaneously recording the position and the time of an acquisition point; judging whether the temperature, the humidity, the illumination intensity, the carbon dioxide concentration, the hydrogen sulfide concentration, the ammonia gas concentration and the wind speed data exceed preset thresholds or not, if so, determining that the environment is abnormal, and immediately sending an environment abnormal reminding short message to a user; in addition, the trend of each environmental data in the poultry house of the farm is predicted by using a data mining technology, if the trend of each environmental data is calculated to obviously fluctuate, the environment is considered to be abnormal, and an environmental abnormality reminding short message is immediately sent to a user.
S304, analyzing the image data of the camera in real time by using a disease detection algorithm, and marking poultry individuals with abnormal video behaviors.
And S305, analyzing the microphone audio data by using an audio detection algorithm, and marking poultry individuals with abnormal audio behaviors.
S306, abnormal data corresponding to the poultry individual with abnormal behaviors and poultry individual production data, environment data, camera image data and microphone audio data matched with the abnormal data are called, the abnormal state of the poultry individual is confirmed, and processing is carried out.
The poultry individual production data, the environment data, the camera image data and the microphone audio data which are matched with the abnormal data are respectively poultry individual production data, environment data which are consistent with the abnormal data acquisition time, camera image data of multiple azimuth and multiple frames of the abnormal poultry individual and microphone audio data which are consistent with the abnormal data acquisition time, wherein the poultry individual production data, the environment data, the camera image data and the microphone audio data are respectively corresponding to the abnormal poultry individual under the poultry number.
And analyzing possible reasons for generating the behavior abnormity according to the behavior abnormity data and the related data, and performing remote intervention or field processing according to the reasons.
The multi-modal information early warning method for the livestock and poultry farm in the embodiment divides possible abnormal conditions occurring in the farm environment into three types, namely equipment abnormality, environment abnormality and behavior abnormality; for equipment abnormality, identifying abnormality and giving an alarm by monitoring equipment operation data; for environmental anomalies, predicting and identifying anomalies by monitoring environmental sensor data and using a data mining algorithm and giving an alarm; and for abnormal behaviors, preliminarily judging abnormal behaviors through a disease monitoring algorithm and an audio detection algorithm, confirming abnormal states and abnormal reasons by combining other data, and performing subsequent processing.
Example 2:
the embodiment provides a computer-readable storage medium, which stores a computer program, and when the computer program is executed by a processor, the multi-modal information early warning method for the livestock and poultry farm of the embodiment is implemented as follows:
acquiring environment data, camera image data, microphone audio data, environment control equipment running state data and poultry individual production data, wherein the poultry individual production data comprises poultry numbers, field information, stall information and cage position information;
monitoring the running state data of the environmental control equipment, and giving an abnormal alarm to the equipment when the running state is abnormal;
monitoring environmental data, alarming for environmental abnormity when the environmental data is abnormal, predicting the environmental data by using a data mining technology, and alarming for environmental abnormity when the development trend of the environmental data is obviously different;
analyzing the image data of the camera in real time by using a disease detection algorithm, and marking poultry individuals with abnormal video behaviors;
analyzing microphone audio data by using an audio detection algorithm, and marking poultry individuals with abnormal audio behaviors;
and calling abnormal data corresponding to the poultry individual with abnormal behaviors, poultry individual production data, environment data, camera image data and microphone audio data matched with the abnormal data, confirming the abnormal state of the poultry individual and processing.
It should be noted that the computer readable storage medium of the above embodiments may be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
In summary, the present invention classifies possible abnormal situations occurring in the environment of a farm into three categories, namely, facility abnormality, environmental abnormality, and behavior abnormality. For equipment abnormality, identifying abnormality and giving an alarm by monitoring equipment operation data; for environmental anomalies, predicting and identifying anomalies by monitoring environmental sensor data and using a data mining algorithm and giving an alarm; for abnormal behaviors, the abnormal behaviors are preliminarily judged through a disease monitoring algorithm and an audio detection algorithm, the abnormal state and the abnormal reason are confirmed by combining other data, and subsequent processing is carried out, so that the labor cost for detecting the abnormal behaviors is reduced, and the working efficiency for manually monitoring the production information of the farm is improved; meanwhile, the system can be deployed on a computer, so that a user can remotely check various information data in a poultry house of a farm, and can control and schedule hardware acquisition equipment, thereby reducing the contact of workers and livestock and effectively preventing disease infection.
While the invention has been described with reference to specific embodiments, the invention is not limited thereto, and various equivalent modifications and substitutions can be easily made by those skilled in the art within the technical scope of the invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (10)
1. A multi-mode information management system for livestock and poultry farms is characterized by comprising data acquisition equipment, a server and a client;
the data acquisition equipment is arranged in a poultry house of a farm and is used for acquiring environmental data, camera image data, microphone audio data and environmental control equipment running state data;
the server is carried on an industrial personal computer, is arranged in a poultry house of a farm and is used for sending an acquisition instruction to the data acquisition equipment and uploading environmental data, camera image data, microphone audio data and environmental control equipment running state data acquired by the data acquisition equipment in real time as multi-mode data to the data storage module;
and the client is used for processing the data in the data storage module and presenting the processing result to the user in a visual form.
2. The multi-modal information management system for livestock and poultry farms of claim 1, wherein the data acquisition equipment comprises a camera, a microphone, a current transformer, a ring control box and an inspection crawler, the camera comprises a fixed point camera and an inspection camera, the ring control box comprises a fixed point ring control box and an inspection ring control box, the inspection camera and the inspection ring control box are installed on the inspection crawler, and the current transformer is installed on the environment control equipment.
3. The multi-modal information management system for livestock and poultry farms of claim 2, wherein the fixed point environmental control box and the patrol environmental control box each comprise a temperature sensor, a humidity sensor, an illumination intensity sensor, a carbon dioxide concentration sensor, a hydrogen sulfide concentration sensor, an ammonia concentration sensor and a wind speed sensor.
4. The multi-modal information management system for livestock and poultry farms of claim 2, wherein the patrol crawler is mounted with a lifting column, the patrol camera is mounted on the lifting column of the patrol crawler, and the patrol environmental control box is mounted on the front side and the lifting column of the patrol crawler.
5. The multi-modal information management system for livestock and poultry farms of claim 2, wherein the environmental control device comprises a fan and a water curtain.
6. The multi-modal information management system for livestock and poultry farms of any one of claims 1 to 5, wherein the client comprises:
the patrol scheduling module is used for regulating and controlling the behavior of the patrol tracked vehicle according to the position information of the patrol tracked vehicle;
the health detection module comprises an audio detection submodule and a video detection submodule; the audio detection submodule is used for analyzing the fixed microphone data by using an audio detection algorithm and marking poultry individuals with abnormal audio behaviors; the video detection submodule is used for analyzing the image data of the camera in real time by using a disease detection algorithm and marking poultry individuals with abnormal video behaviors;
the video monitoring module is used for displaying real-time pictures shot by the camera;
the equipment monitoring module is used for monitoring the running state of the environmental control equipment and alarming for equipment abnormity when the running state is abnormal;
the environment monitoring module is used for monitoring the environment data, alarming for environment abnormity when the environment data is abnormal, predicting the environment data by using a data mining technology, and alarming for environment abnormity when the development trend of the environment data is obviously different;
the production parameter monitoring module is used for inputting and displaying the individual production data of the poultry in the data storage module;
and the field information management module is used for inputting and displaying the field basic information in the data storage module.
7. The multi-modal information management system for livestock and poultry farms of claim 6, wherein the client further comprises:
the biological detection module is used for inputting and displaying the poultry individual appearance determination and in-vivo determination data in the data storage module;
the poultry performance detection module is used for inputting and displaying the poultry performance data in the data storage module;
and the user login module is used for controlling the access authority.
8. A multi-modal information early warning method for livestock and poultry farms, which is applied to the multi-modal information management system for the livestock and poultry farms of any one of claims 1 to 7, and is characterized by comprising the following steps:
acquiring environment data, camera image data, microphone audio data, environment control equipment operation state data and poultry individual production data;
monitoring the running state data of the environmental control equipment, and giving an abnormal alarm to the equipment when the running state is abnormal;
monitoring environmental data, performing environmental anomaly alarm when the environmental data is abnormal, predicting the environmental data by using a data mining technology, and performing environmental anomaly alarm when the development trend of the environmental data is obviously different;
analyzing the image data of the camera in real time by using a disease detection algorithm, and marking poultry individuals with abnormal video behaviors;
analyzing microphone audio data by using an audio detection algorithm, and marking poultry individuals with abnormal audio behaviors;
and calling abnormal data corresponding to the poultry individual with abnormal behaviors, poultry individual production data, environment data, camera image data and microphone audio data matched with the abnormal data, confirming the abnormal state of the poultry individual and processing.
9. The multi-modal information early warning method for the livestock and poultry farm according to claim 8, wherein the poultry individual production data, the environmental data, the camera image data and the microphone audio data matched with the abnormal data are respectively poultry individual production data corresponding to the abnormal poultry individual under the poultry number, environmental data consistent with the acquisition time of the abnormal data, camera image data of multiple directions and multiple frames of the abnormal poultry individual and microphone audio data consistent with the acquisition time of the abnormal data.
10. A computer-readable storage medium storing a program, wherein the program, when executed by a processor, implements the multi-modal information early warning method for livestock and poultry farms of any one of claims 8 to 9.
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