Intelligent scorpion breeding system and method

Abstract

The invention discloses an intelligent scorpion breeding system and method, and relates to the technical field of automatic breeding, the intelligent scorpion breeding system comprises a scorpion room main body, a central controller, an environment regulation and control module, a monitoring and early warning module, a feeding module and a sorting and harvesting module, the environment regulation and control module comprises an information acquisition unit and a regulation and control unit; the regulation and control unit is used for regulating environmental parameters in the scorpion room main body; the invention further discloses an intelligent scorpion breeding method. According to the intelligent scorpion breeding system and method, the feed formula can be optimized according to the age, density and feeding behavior feedback of the scorpion group, differential feeding is achieved according to individual requirements, the fed feed dynamically meets the requirements of the scorpion group in the growth stage, and therefore scientific breeding of the scorpion group is achieved, and healthy growth of scorpions is guaranteed; meanwhile, the health of the scorpion group can be analyzed and diagnosed by monitoring the motion trail, the scorpion body food intake and the body surface characteristics of the scorpion group, so that disease prevention and control can be conveniently realized.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of automated breeding, more particularly to a scorpion intelligent breeding system and method. BACKGROUND

[0002] Scorpions are arthropods of the order Scorpiones, which prefer humid environments and are afraid of dryness, prefer darkness and are afraid of strong light stimulation, and are gregarious and good at being quiet. Scorpions have antiepileptic, anticonvulsant, analgesic, anticoagulant, antithrombotic, and antitumor effects. In addition, they also have the effects of lowering blood pressure and inhibiting bacteria. Such animals are distributed in various parts of China.

[0003] Chinese invention patent with publication number CN118872633A discloses a three-dimensional high-density animal feeding device, which comprises an animal feeding unit, a feeding device, and an atomizer generator. The animal feeding unit comprises a feeding rack, two or more carrying plates, a temperature maintenance unit, and a humidity maintenance unit. The two or more carrying plates are sequentially stacked on the feeding rack, and each carrying plate has a feeding tray placed on it. The temperature maintenance unit comprises two or more laminar flow water circulation pipes. The technical solution disclosed in the above-mentioned invention meets the needs of reptiles for the temperature and humidity of the environment they live in, and also realizes intelligent feeding in a large area with high density, improves the level of intelligence, and helps to reduce labor input. However, the feeding device in the above-mentioned technical solution can only adjust the feeding amount according to the scorpion group, and it is not convenient to adjust the nutrient ratio of the feed, and it cannot dynamically adapt to the growth stage needs of the scorpion group, so the practicality is not good. SUMMARY

[0004] Therefore, the purpose of the present application is to provide a scorpion intelligent breeding system and method, which dynamically adjusts the nutrient ratio of the feed according to the growth needs of the scorpion, monitors the growth of the scorpion to provide timely warning when diseases occur, and also realizes automatic sorting to ensure the safety of the scorpion during the sorting process.

[0005] To achieve the above-mentioned purpose, the present application provides a scorpion intelligent breeding system and method. The scorpion intelligent breeding system comprises a scorpion house main body and a central controller, wherein: An environment control module comprises an information acquisition unit and a control unit for adjusting the environmental parameters in the scorpion house main body. The environment control module is used to adjust the parameters in the scorpion growth environment in real time. A monitoring and warning module comprises a multi-source biological monitoring mechanism for monitoring the growth of scorpions in the scorpion house main body and an AI analysis terminal for analyzing and diagnosing abnormal data in the growth process of scorpions. The monitoring and warning module is used for health monitoring of scorpion growth and automatic diagnosis when the scorpion's vital signs information is abnormal. The feeding module comprises a feed weight database, a weighing metering device, a conveying structure for realizing feed conveying and a dynamic feeding mechanism for performing a feeding operation of the scorpions in the scorpion house body, and the feeding module can formulate a feeding scheme according to the age, density of the scorpion group and the feeding behavior feedback given by the monitoring and early warning module, and simultaneously realize dynamic adaptive feeding. The sorting and harvesting module comprises a visual recognition unit and a sorting mechanical arm, and the sorting and harvesting module facilitates grabbing the scorpions in the scorpion house body.

[0006] Further, the scorpion intelligent breeding system further comprises: The material network platform is in signal connection with the central controller, and the material network platform is used for displaying environmental parameters, equipment states and early warning information, and supports PC or mobile terminal remote instruction issuing and equipment linkage.

[0007] Further, the dynamic feeding mechanism comprises a feeding mechanical arm, a material conveying pipeline and a material storage and mixing mechanism, the material conveying pipeline is in communication with the output end of the material storage and mixing mechanism, the other end of the material conveying pipeline is installed on the feeding mechanical arm, and the feeding mechanical arm is used for adjusting the position of the material discharging end of the material conveying pipeline.

[0008] Further, the multi-source biological monitoring mechanism is a collection of a plurality of monitoring devices, and the multi-source biological monitoring mechanism is used for monitoring the motion trajectory of the scorpion group, the food intake of the scorpions and the body surface characteristics of the scorpions. The AI analysis terminal is internally provided with a memory and a processor, the memory is preinstalled with an algorithm program, the processor runs the algorithm program to analyze the growth condition of the scorpions, and an early warning signal is sent out when the growth condition of the scorpions is abnormal.

[0009] Further, the electrical structures in the environmental regulation module, the monitoring and early warning module, the feeding module and the sorting and harvesting module are electrically connected with the central controller, and the central controller is used for coordinating and controlling the operation of each module.

[0010] Further, the information acquisition unit is a collection of a plurality of different types of sensors, and the information acquisition unit is used for multi-source detection of environmental information.

[0011] Further, the sorting mechanical arm comprises a mechanical arm component and a suction component, and the suction component is a pneumatic suction disc.

[0012] Further, the regulation unit comprises a heating and refrigeration unit for adjusting the environmental temperature, an atomizing humidifier for adjusting the environmental humidity and a ventilation fan for adjusting the environmental air quality.

[0013] Another object of the present application is to provide a scorpion intelligent breeding method, comprising: Step S1: based on the temperature and humidity dynamic control algorithm of the scorpion colony growth stage preset model, the information acquisition unit and the regulation and control unit are linked to realize real-time closed-loop feedback regulation of the internal environment parameters of the scorpion room main body; Step S2: based on the feed formula optimization algorithm of the scorpion colony age, density and feeding behavior feedback, the weighing and metering device is combined with the conveying structure to realize differentiated feed feeding according to individual needs by the dynamic feeding mechanism; Step S3: the behavior data of the scorpion body is collected through the multi-source biological monitoring mechanism, and the abnormal behavior of the scorpion body is identified by the AI analysis terminal and disease warning is triggered; Step S4: the sorting and classification of the scorpion body according to the size of the scorpion body are realized through the cooperative operation of the visual recognition unit and the sorting mechanical arm.

[0014] Further, in step S3, further comprising: Step S31: when the scorpions are dead and seriously ill, the dead or seriously ill scorpions are taken out and stored separately through the cooperative operation of the visual recognition unit and the sorting mechanical arm, so as to provide samples for analyzing the disease.

[0015] The present application has the following advantages and effects compared with the prior art: 1、The scorpion intelligent breeding system in the application can use the monitoring and warning module to monitor the movement trajectory of the scorpion colony, the food intake of the scorpion body and the surface characteristics in real time, so as to issue a warning when an abnormal situation occurs, analyze and diagnose the scorpions with problems according to the detection data, and scientifically process the abnormal situation in time according to the diagnosis results to ensure the healthy growth of the scorpions and reduce the loss of the scorpion colony. In addition, the feeding module can also cooperate with the central controller to optimize the feed formula according to the age, density and feeding behavior feedback of the scorpion colony, and realize differentiated feeding according to individual needs, so that the feed is dynamically adapted to the growth stage demand of the scorpion colony, thereby realizing scientific breeding of the scorpion colony and ensuring the healthy growth of the scorpions.

[0016] 2、The scorpion intelligent breeding system in the application can use the environmental regulation module to dynamically regulate the environment in the main body of the scorpion room, so as to use real-time data closed-loop management to eliminate environmental fluctuations, achieve the effect of adapting the environment to the growth needs of scorpions at different stages, and further improve the healthy growth of scorpions.

[0017] 3、When the scorpions need to be harvested, the scorpions can be harvested through the sorting and harvesting module without entering the scorpion room, so as to realize unmanned operation and avoid harm to the human body caused by scorpions, and the grabbing structure in the sorting and harvesting module is designed to be flexible, which can effectively reduce the damage to the scorpion body caused by sorting operation.

[0018] 4, The various modules in the scorpion intelligent breeding system can realize environmental regulation and control, timely and accurate feeding of feed, real-time monitoring of scorpion growth, and automatic sorting according to size, and the like, and have high intelligence and automation, can reduce labor costs under the condition of ensuring the healthy growth of scorpions, and help to realize scientific breeding. BRIEF DESCRIPTION OF DRAWINGS

[0019] Figure 1 is a flowchart of the scorpion intelligent breeding system in the embodiment of the present application; Figure 2 is a flowchart of the monitoring and early warning module of the scorpion intelligent breeding system in the embodiment of the present application; Figure 3 is a flowchart of the feeding module of the scorpion intelligent breeding system in the embodiment of the present application; Figure 4 is a flowchart of the sorting and harvesting module of the scorpion intelligent breeding system in the embodiment of the present application.

[0020] BRIEF DESCRIPTION OF DRAWINGS 1 - central controller; 2 - environmental regulation and control module; 21 - information acquisition unit; 22 - heating and refrigeration unit; 23 - atomizing humidifier; 24 - ventilation fan; 3 - feeding module; 31 - feed weight database; 32 - weighing device; 33 - conveying structure; 34 - dynamic feeding mechanism; 4 - monitoring and early warning module; 41 - multi-source biological monitoring mechanism; 42 - AI analysis terminal; 5 - sorting and harvesting module; 51 - visual recognition unit; 52 - sorting mechanical arm; 6 - Internet of Things platform. DETAILED DESCRIPTION

[0021] The technical solutions of the present application will be described clearly and completely in conjunction with the drawings. Obviously, the described embodiments are part of the embodiments of the present application, not all. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the scope of protection of the present application.

[0022] In the description of the present application, it should be noted that unless otherwise explicitly specified and limited, the terms "mounting", "connection", "connecting" should be understood in a broad sense, for example, can be fixedly connected, or can be detachably connected, or integrally connected; can be mechanically connected, or can be electrically connected; can be directly connected, or can be indirectly connected through an intermediate medium, or can be the internal communication of two elements, can be wireless connection, or can be wired connection. For those skilled in the art, the specific meaning of the above terms in the present application can be understood according to the specific circumstances.

[0023] Please refer to Figures 1-4 As shown in the accompanying drawings, the embodiment of the present application provides a scorpion intelligent breeding system and method, which comprises a scorpion house main body, a central controller 1, an environment control module 2, a monitoring and early warning module 4, a feeding module 3 and a sorting and harvesting module 5, wherein: The environment control module 2 comprises an information acquisition unit 21 and a control unit, and the control unit is used for adjusting the environmental parameters in the scorpion house main body. The environment control module 2 is used for linkage of the information acquisition unit 21 and the control unit to realize real-time closed-loop feedback regulation of the scorpion house environmental parameters.

[0024] The monitoring and early warning module 4 comprises a multi-source biological monitoring mechanism 41 and an AI analysis terminal 42, wherein the multi-source biological monitoring mechanism 41 is used for monitoring the growth of scorpions, and the AI analysis terminal 42 is used for analyzing and diagnosing abnormal data in the growth process of scorpions. The monitoring and early warning module 4 is used for health monitoring of the growth of scorpions and sending an early warning signal when an abnormal condition occurs.

[0025] The feeding module 3 comprises a feed proportioning database 31, a weighing and metering device 32, a conveying structure 33 and a dynamic feeding mechanism 34. The feed proportioning database 31 stores a feed formula optimization algorithm. The weighing and metering device 32 is used for weighing the feed as needed. The conveying structure 33 is used for conveying the feed after proportioning to the dynamic feeding mechanism 34. The dynamic feeding mechanism 34 is used for performing feeding operation. The feeding module 3 is used for formulating a feeding scheme according to the age, density and feeding behavior feedback of the scorpion colony, and realizing differentiated feed feeding according to individual needs.

[0026] As a preferred embodiment of the above scheme, the feed formula optimization algorithm is a genetic algorithm (GA) or a particle swarm optimization algorithm (PSO), so that the AI analysis terminal 42 combines the information parameters collected by the information acquisition unit 21 and the feed formula optimization algorithm to propose a suitable feed formula for the current scorpion colony growth.

[0027] As a further description of the above scheme, when living Tenebrio molitor is used as the feed of the scorpion, the Tenebrio molitor is used as a carrier to supply the scorpion with the nutrients and medicines required for growth and disease prevention, and the specific operation is to feed the additives and medicines to the Tenebrio molitor, and then indirectly supply the Tenebrio molitor to the scorpion; the application can generate a feed formula through the collected information parameters in the monitoring and early warning module 4 during the growth of the scorpion, if the feed formula contains living feed such as Tenebrio molitor, the AI analysis terminal 42 sends the feeding formula and feeding time of the Tenebrio molitor to the staff, so as to make the staff supplement the Tenebrio molitor carrying different nutrients in time.

[0028] The sorting and harvesting module 5 includes a visual recognition unit 51 and a sorting mechanical arm 52, and is used for sorting and classifying the scorpions according to individual sizes.

[0029] Please refer to Figure 1 As shown in the figure, the scorpion intelligent breeding system further includes a material network platform 6, which is signal connected with the central controller 1, and is used for displaying environmental parameters, equipment states and early warning information, and supporting PC or mobile terminal remote instruction issuing and equipment linkage.

[0030] Please refer to Figure 1 As shown in the figure, the multi-source biological monitoring mechanism 41 is a collection of several monitoring devices, and is used for monitoring the motion trajectory, food intake and body surface characteristics of the scorpion colony.

[0031] As a preferred embodiment of the above scheme, the multi-source biological monitoring mechanism 41 includes an infrared vision sensor and a micro-vibration sensor, which can combine the micro-vibration sensor to achieve the function of exploring the motion trajectory, food intake and body surface characteristics of the scorpion.

[0032] Please refer to Figure 1 As shown in the figure, the AI analysis terminal 42 is internally provided with a memory and a processor, the memory is pre-installed with an algorithm program, and the processor runs the algorithm program to analyze the growth of the scorpion and send an early warning signal to the outside when an abnormal situation occurs.

[0033] As a further description of the above scheme, the algorithm program pre-installed in the memory is an algorithm model of convolutional neural network (CNN), which is convenient for identifying abnormal behaviors in the scorpion colony, so as to trigger disease early warning in time.

[0034] Please refer to Figure 1 As shown in the figure, the electrical structures in the environment control module 2, the monitoring and early warning module 4, the feeding module 3 and the sorting and harvesting module 5 are electrically connected with the central controller 1, and the central controller 1 is used for coordinating and controlling the operation of each module; it is convenient to use the common action of each module to complete the intelligent management of the scorpion colony breeding.

[0035] Referring to Figure 1 As shown in the figure, the information acquisition unit 21 is a collection of several sensors, and the information acquisition unit 21 is used to realize multi-source detection of environmental information.

[0036] As a preferred embodiment of the above scheme, the information acquisition unit 21 includes a temperature sensor, a humidity sensor, and a gas sensor, which facilitates monitoring of various information in the scorpion group breeding environment.

[0037] Referring to Figure 1 As shown in the figure, the sorting mechanical arm 52 includes a mechanical arm component and a suction component, and the suction component is a pneumatic suction cup. The suction component is used to suck the scorpion body by using negative pressure, so as to reduce the damage rate when the scorpion is grabbed.

[0038] As a preferred embodiment of the above scheme, the suction end surface of the pneumatic suction cup is provided with a silica gel buffer layer, which facilitates further reducing the damage to the scorpion body during the grabbing process.

[0039] Referring to Figure 1 As shown in the figure, the control unit includes a heating and refrigeration unit 22, an atomizing humidifier 23, and a ventilation fan 24. The heating and refrigeration unit 22 is used to adjust the environmental temperature, the atomizing humidifier 23 is used to adjust the environmental humidity, and the ventilation fan 24 is used to adjust the environmental air quality.

[0040] Referring to Figures 1-4 As shown in the figure, the scorpion intelligent breeding method provided in the embodiment of the present application comprises: Step S1: Based on the temperature and humidity dynamic control algorithm of the scorpion group growth stage preset model, the information acquisition unit 21 and the control unit are linked to realize real-time closed-loop feedback regulation of the scorpion house environmental parameters; Step S2: Based on the feed formula optimization algorithm of the scorpion group age, density and feeding behavior feedback, the weighing and metering device 32 and the conveying structure 33 are combined to enable the dynamic feeding mechanism 34 to realize differentiated feed feeding according to individual needs; Step S3: The scorpion behavior data is collected through the multi-source biological monitoring mechanism 41, and the AI analysis terminal 42 is used to identify the abnormal behavior of the scorpion body and trigger disease warning; Step S31: When there are dead and seriously ill scorpions, the dead or seriously ill scorpions are taken out and saved separately through the cooperative work of the visual recognition unit 51 and the sorting mechanical arm 52, so as to provide samples when analyzing the disease; Step S4: The sorting of the scorpion body is realized according to the size of the scorpion body through the cooperative work of the visual recognition unit 51 and the sorting mechanical arm 52.

[0041] In this embodiment, the scorpion intelligent breeding system and method are used in the scorpion house main body according to the following example steps and conditions; Juvenile scorpion stage (1-3 years old): Temperature 30+1℃, humidity 65+5%, weak light environment (≤150lx); Feeding 3 times a day, feed particle size ≤1mm, protein content 55%; Ventilation 0.2m' / min, avoid strong airflow disturbance.

[0042] Stage of adult scorpion (4-6 years old): Temperature 28+2℃, humidity 60+5%, intermittent light (12h light / 12h dark); Feeding 2 times a day, adding calcium fortifier (3%); Automatic sorting once a week, isolating molting individuals.

[0043] Stage of pregnant scorpion: Temperature 32+0.5℃, humidity 70+3%, complete dark environment; Feeding frequency reduced to 1 time / day, fat content increased to 15%; Close mechanical sorting, enable independent temperature zone protection.

[0044] Although the present application discloses as above, the protection scope of the present application is not limited to this. Those skilled in the art can make various changes and modifications without departing from the spirit and scope of the present application, and these changes and modifications shall fall within the protection scope of the present application.

Claims

1. A scorpion intelligent breeding system, comprising a scorpion house main body and a central controller (1), characterized in that: The environmental control module (2) includes an information acquisition unit (21) and a control unit for adjusting the environmental parameters inside the scorpion house. The monitoring and early warning module (4) includes a multi-source biological monitoring mechanism (41) for monitoring the growth of scorpions in the main body of the scorpion house and an AI analysis terminal (42) for analyzing and diagnosing abnormal data during the growth of scorpions. The feeding module (3) includes a feed weight database (31), a weighing and metering device (32), a conveying structure (33) for conveying feed, and a dynamic feeding mechanism (34) for performing the feeding operation of scorpions in the main body of the scorpion house. The feeding module (3) can formulate a feeding plan based on the age and density of the scorpion population and the feeding behavior feedback given by the monitoring and early warning module (4), and realize dynamic adaptive feeding. The sorting and harvesting module (5) includes a visual recognition unit (51) and a sorting robotic arm (52), which facilitates the capture of scorpions in the main body of the scorpion house.

2. The intelligent scorpion breeding system according to claim 1, characterized in that, The intelligent scorpion breeding system also includes: Material network platform (6) is connected to the central controller (1) by signal. The material network platform (6) is used to display environmental parameters, equipment status and early warning information, and supports remote command issuance from PC or mobile terminal to link with equipment.

3. The intelligent scorpion breeding system according to claim 1, characterized in that, The dynamic feeding mechanism (34) includes a feeding robotic arm, a conveying pipe and a storage and mixing mechanism. The conveying pipe is connected to the output end of the storage and mixing mechanism, and the other end of the conveying pipe is installed on the feeding robotic arm. The feeding robotic arm is used to adjust the position of the discharge end of the conveying pipe.

4. The intelligent scorpion breeding system according to claim 1, characterized in that, The multi-source biological monitoring mechanism (41) is a collection of several monitoring devices. The multi-source biological monitoring mechanism (41) is used to monitor the movement trajectory of scorpion clusters, the amount of food ingested by scorpions, and the surface characteristics of their bodies. The AI ​​analysis terminal (42) is equipped with a memory and a processor. The memory is pre-loaded with an algorithm program. The processor runs the algorithm program to analyze the growth of scorpions and sends out an early warning signal when the growth of scorpions is abnormal.

5. The intelligent scorpion breeding system according to claim 1, characterized in that, The electrical structures of the environmental control module (2), monitoring and early warning module (4), feeding module (3) and sorting and harvesting module (5) are all electrically connected to the central controller (1), which is used to coordinate and control the operation of each module.

6. The intelligent scorpion breeding system according to claim 1, characterized in that, The information acquisition unit (21) is a collection of several different types of sensors, and the information acquisition unit (21) is used to perform multi-source detection of environmental information.

7. The intelligent scorpion breeding system according to claim 1, characterized in that, The sorting robotic arm (52) includes a robotic arm component and a suction component, wherein the suction component is a pneumatic suction cup.

8. The intelligent scorpion breeding system according to claim 1, characterized in that, The control unit includes a heating and cooling unit (22), an atomizing humidifier (23), and a ventilation fan (24). The control unit is adapted to adjust the environmental parameters of the scorpion house body according to usage requirements.

9. A method for intelligent scorpion farming, employing the intelligent scorpion farming system according to any one of claims 1 to 8, characterized in that, include: Step S1: Based on the temperature and humidity dynamic control algorithm of the preset model of scorpion colony growth stage, the information acquisition unit (21) and the control unit are linked to realize the real-time closed-loop feedback adjustment of the environmental parameters inside the scorpion house. Step S2: Based on the scorpion population age, density and feeding behavior feedback, the feed formulation optimization algorithm, combined with the weighing and metering device (32) and the conveying structure (33), enables the dynamic feeding mechanism (34) to achieve differentiated feed feeding according to individual needs; Step S3: Collect scorpion behavior data through the multi-source biological monitoring mechanism (41), and at the same time use the AI ​​analysis terminal (42) to identify abnormal scorpion behavior and trigger disease warning; Step S4: The scorpions are sorted and classified according to their size through the collaborative operation of the visual recognition unit (51) and the sorting robotic arm (52).

10. The intelligent scorpion breeding method according to claim 9, characterized in that, Step S3 also includes: Step S31: When scorpions are found to be dead or severely ill, the dead or severely ill scorpions are removed and stored separately through the coordinated operation of the visual recognition unit (51) and the sorting robotic arm (52) to provide samples for analysis of the disease.

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