Distributed quail breeding environment control system

Abstract

The invention relates to the technical field of automatic control, in particular to a distributed quail breeding environment control system. The system comprises a regional monitoring unit, a similarity identification unit, a regional environment detection unit and a distributed control unit. According to the invention, the image data in the farm is collected through the regional monitoring unit, so that the similarity of quails can be conveniently analyzed by the similarity identification unit, the regional environment detection unit is not triggered to use in a breeding region with the similarity of 0, invalid control on a region without quails is avoided, energy and equipment resources are saved, and otherwise, the system is convenient to use. The regional environment detection unit detects the environment suitability condition of a quail region in real time, the distributed control unit is conveniently driven to carry out self-adaptive control, fine control over each breeding region is achieved, the problems of resource waste and uneven temperature caused by centralized control are avoided, and meanwhile the quality of the quail breeding region is improved. The environment of each region with quails is always in a suitable state, and the growth quality and the production efficiency of the quails are improved.

Description

Technical Field

[0001] The invention relates to the technical field of automatic control, in particular to a distributed quail breeding environment control system. Background Art

[0002] Quails need a dry, ventilated and quiet environment when they are raised. In the face of large-scale quail farms, in order to improve the growth state of quails, the growth environment should be heat-insulated, warm in winter, and heat-insulated and moisture-proof in summer, so that the temperature of the growth environment is controlled to be stable in accordance with the growth of quails. Among them, when automatically controlling the growth environment of quails, according to the Chinese patent application number: CN201110411419.2, a breeding automatic control system is disclosed, which has a high degree of automation, simple operation, good automatic control effect, strong networking ability, can be easily connected to the general network, and is easy to realize centralized monitoring of large-scale breeding; However, the existing technology mostly adopts a centralized control method when automatically controlling the quail breeding environment. When the temperature sensor senses that the temperature in the growth environment has dropped, multiple temperature regulating devices are automatically controlled to work at the same time. If the external ambient temperature of the breeding farm is low, the temperature in the ventilation area will drop significantly. If the temperature is centrally controlled, some areas that do not need temperature control will deviate from the appropriate temperature. Moreover, if there are no quails in some areas of the breeding area and the temperature of this area is automatically controlled, it will cause a waste of resources. In view of this, we propose a distributed quail breeding environment control system. Summary of the invention

[0003] The object of the present invention is to provide a distributed quail breeding environment control system to solve the problems raised in the above background technology.

[0004] To achieve the above-mentioned purpose, the present invention provides a distributed quail breeding environment control system, comprising a regional monitoring unit, a similarity recognition unit, a regional environment detection unit and a distributed control unit; The area monitoring unit is used to collect image data in the quail breeding farm, divide it into multiple breeding areas, and generate an image of each breeding area; The similarity recognition unit is used to establish a quail feature set, extract image features of multiple breeding areas in the area monitoring unit, compare them with the feature set, analyze the similarity of quails in multiple breeding areas, and if the similarity is less than the matching threshold, output a signal that there is no quail in this breeding area; if the similarity is greater than or equal to the matching threshold, output a signal that there is quail in this breeding area; The regional environment detection unit is used to deploy sensors in multiple breeding areas respectively, and when receiving the signal output by the similarity recognition unit that there are quails in this breeding area, trigger the instruction of real-time detection of environmental data, and preset a suitable environmental threshold to compare and match the environmental data. If there is no match, an adaptive control signal is output, and if there is a match, an appropriate signal is output; The distributed control unit is used to receive the breeding area that outputs the adaptive control signal, and respectively identify the deviation value between the breeding area environmental data and the suitable environmental threshold, and control the environmental adjustment equipment deployed in the breeding area to automatically execute the control command until the regional environment detection unit outputs the suitable signal to stop.

[0005] As a further improvement of the present technical solution, the area monitoring unit includes a camera and an image area segmentation module. The camera is used to convert the optical signal in the breeding farm into an electrical signal through a visual sensor to form image data. The image area segmentation module is used to divide the collected image into multiple breeding areas according to the spatial position. Each breeding area corresponds to an environmental adjustment device, and the environmental adjustment device is at a critical point for controlling the environment in the breeding area.

[0006] As a further improvement of the technical solution, the image region segmentation module adopts image segmentation technology, including the following steps: The SLIC algorithm is used to divide the image data into multiple superpixels, and the image space and color space are combined to form a five-dimensional space, and clustering is performed in this five-dimensional space. The expression is: ,in, represents five-dimensional space, is the distance in color space, is the spatial distance, is the balancing factor; The superpixel is used as the input of clustering, and the K-means algorithm is used to divide the superpixel into K regions. Each superpixel is assigned to a corresponding cluster center. Each cluster center corresponds to a control device, ensuring that each device can only control the environment in its area.

[0007] As a further improvement of the technical solution, the similarity recognition unit includes a feature comparison module and a similarity calculation module; The feature comparison module is used to extract features from known quail images using a convolutional neural network, store the extracted features in a feature set for subsequent comparison, extract features from images in multiple breeding areas output by the image area segmentation module, and use cosine similarity to compare the extracted features with the features in the feature set to calculate the similarity. If the similarity is less than the matching threshold mentioned above, a signal indicating that there is no quail in this breeding area is output; if the similarity is greater than or equal to the matching threshold, a signal indicating that there is quail in this breeding area is output.

[0008] As a further improvement of the technical solution, the sensors in the regional environment detection unit include temperature sensors and humidity sensors, and a convolutional neural network is used to identify quail signals, so that the temperature sensors and humidity sensors deployed in the breeding area corresponding to the quail signals are triggered to work; When the regional environment detection unit compares and matches the preset suitable environment threshold with the environmental data, a numerical comparison algorithm is adopted, and the expression is: ; in, is the real-time temperature, is the minimum value of the suitable environmental threshold, It is the maximum value of the suitable environment threshold, 1 means match, and 0 means mismatch.

[0009] As a further improvement of the technical solution, the distributed control unit includes an automatic control module and a signal transmission module; The automatic control module is used to calculate the deviation between the environmental data and the suitable environmental threshold, generate a control command according to the deviation, wherein the environmental conditioning equipment includes a cooling equipment, a heating equipment, a dehumidification equipment and a humidification equipment, and send the generated control command to the corresponding environmental conditioning equipment, and use a PID controller to adjust the environmental parameters; The signal transmission module is used to establish a link with the regional environment detection unit, and trigger the regional environment detection unit to work again after each adjustment of the environmental parameters until an appropriate signal is output.

[0010] As a further improvement of the present technical solution, the similarity recognition unit also includes a waiting trigger module, which is used to mark the initial time point when the similarity calculation module outputs a quail signal, and stop the operation of the similarity recognition unit 200 until a suitable signal is output by the receiving signal transmission module, and mark the termination time point.

[0011] As a further improvement of the present technical solution, the distributed control unit also includes a balanced environment feedback module, through which a normal environment threshold is set to prevent the environment from exceeding the normal value, so that when the regional environment detection unit senses the quail-free signal output by the similarity calculation module, the sensor in the breeding area corresponding to the quail-free signal is triggered to work, and the output environmental data is compared with the normal environment threshold to match. If it matches, a waiting signal is output; if it does not match, a normal control signal is output to drive the automatic control module to adjust the environmental parameters until the signal transmission module outputs a waiting signal.

[0012] Compared with the prior art, the present invention has the following beneficial effects: 1. In the distributed quail breeding environment control system, the image data in the breeding farm is collected by the regional monitoring unit, which is convenient for the similarity recognition unit to analyze the similarity of the quails, which is beneficial to not triggering the use of the regional environment detection unit in the breeding area where the similarity is 0, avoiding the ineffective control of the area without quails, saving energy and equipment resources, and vice versa, the regional environment detection unit detects the environmental suitability of the quail area in real time, which is convenient for driving the distributed control unit to perform adaptive control, realizing refined control of each breeding area, avoiding the waste of resources and uneven temperature caused by centralized control, and at the same time, ensuring that the environment of each area with quails is always in a suitable state, improving the growth quality and production efficiency of quails.

[0013] 2. In the distributed quail breeding environment control system, when the regional environment detection unit senses the quail-free signal output by the similarity calculation module through the balanced environment feedback module, the sensor in the breeding area corresponding to the quail-free signal is triggered to work, and the output environmental data is compared with the normal environmental threshold to match. If it matches, a waiting signal is output; if it does not match, a normal control signal is output to drive the automatic control module to adjust the environmental parameters until the signal transmission module outputs a waiting signal. On the one hand, it is beneficial to keep the temperature in the breeding area without quail within the normal value. This normal value means that the quail does not endanger life and health in this environment, but only causes discomfort. It is neither too high nor too low. The rules can be set independently according to the experience of the breeding staff. On the other hand, by performing distributed control on each breeding area, it can not only avoid the overall environment of the breeding farm being out of control when the control equipment is damaged, but also avoid the mutual influence caused by large environmental deviations in the breeding area. On the premise of saving resources, it is beneficial to the accuracy of quail breeding environment control. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] Figure 1 It is the overall structural principle block diagram of the present invention; Figure 2 It is a detailed schematic diagram of the overall structure of the present invention.

[0015] The meaning of each number in the figure is: 100, regional monitoring unit; 200, similarity recognition unit; 300, regional environment detection unit; 400, distributed control unit. DETAILED DESCRIPTION

[0016] The following will be combined with the accompanying drawings in the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention. Example

[0017] See also Figure 1-Figure 2 As shown, this embodiment provides a distributed quail breeding environment control system, including a regional monitoring unit 100, a similarity recognition unit 200, a regional environment detection unit 300 and a distributed control unit 400; The area monitoring unit 100 is used to collect image data in the quail breeding farm, divide it into multiple breeding areas, and generate images of each breeding area. On the one hand, the staff can observe the situation of the quails in the breeding farm through the image data, and on the other hand, the image data reflects the multiple breeding areas divided in the breeding farm, which is convenient for the subsequent control of the environment according to the situation of each breeding area, so as to avoid driving the environment adjustment equipment to work when there are no quails in the breeding area, resulting in a waste of resources; Specifically, the area monitoring unit 100 includes a camera and an image area segmentation module. The camera is used to convert the light signal in the farm into an electrical signal through a visual sensor (such as a CCD sensor. When light is irradiated on the CCD, a charge is generated at each pixel position. The charge is then transferred to a storage area and converted into a voltage signal. The image quality of the CCD sensor is usually high, but the cost and power consumption are also relatively high) to form image data. The collected image data usually needs to undergo a series of processing before it can be used for analysis. This is something that people in the field of technology can easily associate with, including noise reduction (removing noise from the image and improving image quality), color correction (adjusting the color of the image to make it closer to the real scene), and image enhancement (enhancing the image through an algorithm). The image contrast, brightness, etc. are improved to make the image clearer) and image compression (compressing image data for storage and transmission). The image area segmentation module is used to divide the collected image into multiple breeding areas according to the spatial position. Each breeding area corresponds to an environmental conditioning device, and the environmental conditioning device is at the critical point of controlling the environment in the breeding area, which means that the environmental conditioning device can just control the environment in the corresponding breeding area, and this environment includes temperature. The number of breeding areas corresponds to the number of environmental conditioning devices. When determining the number of breeding areas, it is only necessary to ensure that the environmental conditioning device can just control the environment of one breeding area. There is no need to waste resources due to too many areas, and there is no need to fully control the environment in the farm due to too few areas.

[0018] In addition, the image region segmentation module adopts image segmentation technology, including the following steps: The SLIC algorithm is used to divide the image data into multiple superpixels, and the image space and color space are combined to form a five-dimensional space, and clustering is performed in this five-dimensional space. The expression is: ,in, represents five-dimensional space, is the distance in color space, is the spatial distance, is the balancing factor; Superpixels are used as clustering input, and the K-means algorithm is used to divide the superpixels into K regions, and each superpixel is assigned to a corresponding cluster center. Each cluster center corresponds to a control device to ensure that each device can only control the environment in its area. The basic idea of ​​the K-means algorithm is to minimize the sum of square distances from each superpixel to its cluster center through iterative optimization, install control devices near each cluster center to ensure that the coverage of the device just covers the area, and use sensor data to verify the coverage of each device to ensure that there are no overlapping or missing areas. This is conducive to dynamically adjusting the regional division and equipment layout according to environmental changes and breeding needs, realizing subsequent fine management and regulation of the breeding environment, and improving breeding efficiency and quality.

[0019] The similarity recognition unit 200 is used to establish a quail feature set, extract the image features of multiple breeding areas in the area monitoring unit 100 and compare them with the feature set, analyze the similarity of quails in multiple breeding areas, and if the similarity is less than the matching threshold, output that there is no quail signal in this breeding area, and if the similarity is greater than or equal to the matching threshold, output that there is quail signal in this breeding area, which is conducive to locating quails in image data. At the same time, the quail similarity reflects the gathering place of quails, and more intuitively reflects the comfort of the quail breeding area. In particular, when the similarity of some breeding areas is low or zero, the staff needs to be able to promptly alert the reasons, such as whether it is due to improper management that some breeding areas cause discomfort to the growth of quails, causing the quails to be unwilling to stay, thereby avoiding the waste of space resources; Furthermore, the similarity recognition unit 200 includes a feature comparison module and a similarity calculation module; The feature comparison module is used to extract features from known quail images using a convolutional neural network, store the extracted features in a feature set for subsequent comparison, extract features from images in multiple breeding areas output by the image region segmentation module, and use cosine similarity to compare the extracted features with the features in the feature set to calculate the similarity. If the similarity is less than the matching threshold, the signal that there is no quail in this breeding area is output; if the similarity is greater than or equal to the matching threshold, the signal that there is quail in this breeding area is output; Among them, cosine similarity is used to measure the cosine value of the angle between two non-zero vectors in multidimensional space, so as to evaluate their similarity. By calculating the dot product and modulus of the two vectors, a value between -1 and 1 can be obtained, which reflects their similarity, which is helpful to determine whether there are quails in this breeding area, facilitate subsequent distributed drive sensors, and improve resource utilization.

[0020] The regional environment detection unit 300 is used to deploy sensors in multiple breeding areas respectively. When receiving the signal output by the similarity recognition unit 200 that there are quails in this breeding area, it triggers the instruction of real-time detection of environmental data, and presets a suitable environmental threshold to compare and match with the environmental data. If it does not match, it outputs an adaptive control signal. If it matches, it outputs a suitable signal, which is conducive to real-time determination of the environmental data of each breeding area. Not only when the similarity of the breeding area is 0, the sensor of this breeding area is not triggered to work, which is conducive to reducing the frequency of use of the sensor and improving its service life, but also determines whether the breeding area is at a suitable temperature, which is convenient for the subsequent driving of the distributed control unit 400 to execute the adjustment strategy; It is worth noting that the sensors in the regional environment detection unit 300 include temperature sensors and humidity sensors, and a convolutional neural network is used to identify quail signals, so that the temperature sensors and humidity sensors deployed in the breeding area corresponding to the quail signals are triggered to work; When the regional environment detection unit 300 compares and matches the preset suitable environment threshold with the environmental data, a numerical comparison algorithm is adopted, and the expression is: ; in, is the real-time temperature, is the minimum value of the suitable environmental threshold, It is the maximum value of the suitable environment threshold. 1 indicates a match and 0 indicates a mismatch. This allows you to determine whether to adjust the environment of the breeding area in the future based on the matching situation.

[0021] The distributed control unit 400 is used to receive the breeding area that outputs the adaptive control signal, and respectively identify the deviation value between the breeding area environmental data and the suitable environmental threshold, and control the environmental adjustment equipment deployed in the breeding area to automatically execute the control command until the regional environment detection unit 300 outputs the suitable signal to stop, thereby realizing the intelligent management of the system, reducing manual intervention, improving management efficiency and accuracy, and dynamically adjusting the control strategy according to the changes in the actual breeding environment to adapt to the needs of different seasons and different breeding conditions.

[0022] Furthermore, the distributed control unit 400 includes an automatic control module and a signal transmission module; The automatic control module is used to calculate the deviation value between the environmental data and the appropriate environmental threshold value, and generate a control command according to the deviation value, wherein the environmental conditioning equipment includes a cooling device, a heating device, a dehumidifying device and a humidifying device. If the temperature is too high, the cooling device is started, if the temperature is too low, the heating device is started, if the humidity is too high, the dehumidifying device is started, and if the humidity is too low, the humidifying device is started, and the generated control command is sent to the corresponding environmental conditioning equipment, and the environmental parameters are adjusted using a PID controller. The PID controller generates a control signal through three parts: a proportional part, an integral part and a differential part, which correspond to the error, the accumulation of the error and the rate of change of the error respectively. The control signal is adjusted to make the output of the controlled object close to the set appropriate temperature threshold range as the target value, wherein the proportional part is directly proportional to the error, and the error is the difference between the target value and the actual value. The integral part considers the accumulation of the error, and eliminates the steady-state error through integration, so that the system remains stable for a long time. The differential part considers the rate of change of the error, and predicts the change trend of the error through differentiation, so as to quickly respond to changes in the system; The signal transmission module is used to establish a link with the regional environment detection unit 300. After each adjustment of the environmental parameters, the regional environment detection unit 300 is triggered to work again until a suitable signal is output, so that the environmental parameters can be adjusted multiple times, thereby improving the accuracy of automatic environmental control.

[0023] In summary, the present invention collects image data in the breeding farm through the regional monitoring unit 100, which facilitates the similarity recognition unit 200 to analyze the similarity of quails, and is beneficial to not triggering the use of the regional environment detection unit 300 in the breeding area where the similarity is 0, avoiding ineffective control of the area without quail, saving energy and equipment resources, and conversely, enabling the regional environment detection unit 300 to detect the environmental suitability of the area with quail in real time, facilitating the driving of the distributed control unit 400 for adaptive control, realizing refined control of each breeding area, avoiding the waste of resources and uneven temperature caused by centralized control, and at the same time, ensuring that each regional environment with quails is always in a suitable state, thereby improving the growth quality and production efficiency of the quails.

[0024] In the case of driving the sensor to perceive the environment based on the similarity of quail and realizing automatic control of the environment, since the quail will move, when the environment has not been adjusted to a suitable environment, the movement of the quail causes the similarity to change, affecting the accuracy of the suitable environment regulation in the breeding area. Therefore, the similarity recognition unit 200 also includes a waiting trigger module, which is used to mark the initial time point when the similarity calculation module outputs the quail signal and stops the similarity recognition unit 200 until the suitable signal output by the receiving signal transmission module is received and the termination time point is marked. According to the time period between the initial time point and the termination time point, it is indicated that the environment has not been controlled to a suitable environment. At this time, the similarity recognition unit 200 does not work, further saving resources, avoiding the mutual influence of multiple data, and improving the accuracy of environmental control. In addition, through the difference between the initial time point and the termination time point, it is convenient for the staff to understand the duration of environmental control, which is conducive to judging the operating status of the sensor and the environmental control equipment according to the control time, and convenient for timely replacement when the duration exceeds a certain value, thereby improving the breeding effect.

[0025] Since there are no quails in some breeding areas for a long time, the temperature of this breeding area deviates greatly from that of other breeding areas, causing the influence of temperature and humidity. Therefore, the distributed control unit 400 also includes a balanced environment feedback module. The balanced environment feedback module is used to set a normal environment threshold for preventing the environment from exceeding the normal value. When the regional environment detection unit 300 senses the quail-free signal output by the similarity calculation module, it triggers the sensor in the breeding area corresponding to the quail-free signal to work, and outputs environmental data to compare and match with the normal environment threshold. If it matches, it outputs a waiting signal. If it does not match, it outputs a normal control signal to drive the automatic control module to adjust the environmental parameters until the signal transmission module outputs a waiting signal. On the one hand, it is beneficial to keep the temperature in the breeding area without quails within the normal value. This normal value refers to the value that the quail does not endanger life and health in this environment, but only causes discomfort. It is neither too high nor too low. It has the ability to set rules independently according to the experience of the breeding staff. On the other hand, by performing distributed control on each breeding area, it is not only avoided that the overall environment of the breeding farm cannot be controlled when the control equipment is damaged, but also the large environmental deviation in the breeding area is avoided. The mutual influence caused by the large environmental deviation is avoided. Under the premise of saving resources, it is beneficial to the accuracy of quail breeding environment control.

[0026] The above shows and describes the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited by the above embodiments. The above embodiments and descriptions are only preferred examples of the present invention and are not intended to limit the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, which fall within the scope of the present invention. The scope of protection of the present invention is defined by the attached claims and their equivalents.

Claims

1. A distributed quail breeding environment control system, characterized by: It comprises a regional monitoring unit (100), a similarity recognition unit (200), a regional environment detection unit (300) and a distributed control unit (400); The area monitoring unit (100) is used to collect image data in the quail breeding farm, divide it into multiple breeding areas, and generate an image of each breeding area; The similarity recognition unit (200) is used to establish a quail feature set, extract image features of multiple breeding areas in the area monitoring unit (100) and compare them with the feature set, analyze the similarity of quails in multiple breeding areas, and if the similarity is less than a matching threshold, output a signal that there is no quail in this breeding area; if the similarity is greater than or equal to the matching threshold, output a signal that there is quail in this breeding area; The regional environment detection unit (300) is used to deploy sensors in multiple breeding areas respectively, and when receiving the signal output by the similarity recognition unit (200) indicating that there are quails in the breeding area, triggers an instruction to detect environmental data in real time, and compares and matches the preset suitable environmental threshold with the environmental data; if there is no match, outputs an adaptive control signal; if there is a match, outputs a suitable signal; The distributed control unit (400) is used to receive the breeding area that outputs the adaptive control signal, and respectively identify the deviation value between the breeding area environmental data and the suitable environmental threshold, and control the environmental adjustment equipment deployed in the breeding area to automatically execute the control command until the regional environment detection unit (300) outputs the suitable signal to stop.

2. The distributed quail breeding environment control system according to claim 1 is characterized in that: The area monitoring unit (100) comprises a camera and an image area segmentation module, wherein the camera is used to convert light signals in the breeding farm into electrical signals through a visual sensor to form image data, and the image area segmentation module is used to divide the collected image into a plurality of breeding areas according to spatial positions, each breeding area corresponds to an environmental adjustment device, and the environmental adjustment device is at a critical point for controlling the environment in the breeding area.

3. The distributed quail breeding environment control system according to claim 2 is characterized in that: The image region segmentation module adopts image segmentation technology, including the following steps: The SLIC algorithm is used to divide the image data into multiple superpixels, and the image space and color space are combined to form a five-dimensional space, and clustering is performed in this five-dimensional space. The expression is: ,in, represents five-dimensional space, is the distance in color space, is the spatial distance, is the balancing factor; The superpixel is used as the input of clustering, and the K-means algorithm is used to divide the superpixel into K regions. Each superpixel is assigned to a corresponding cluster center. Each cluster center corresponds to a control device, ensuring that each device can only control the environment in its area.

4. The distributed quail breeding environment control system according to claim 3 is characterized in that: The similarity recognition unit (200) comprises a feature comparison module and a similarity calculation module; The feature comparison module is used to extract features from known quail images using a convolutional neural network, store the extracted features in a feature set for subsequent comparison, extract features from images in multiple breeding areas output by the image area segmentation module, and use cosine similarity to compare the extracted features with the features in the feature set to calculate the similarity. If the similarity is less than the matching threshold mentioned above, a signal indicating that there is no quail in this breeding area is output; if the similarity is greater than or equal to the matching threshold, a signal indicating that there is quail in this breeding area is output.

5. The distributed quail breeding environment control system according to claim 4 is characterized in that: The sensors in the regional environment detection unit (300) include a temperature sensor and a humidity sensor, and a convolutional neural network is used to identify quail signals, so that the temperature sensors and humidity sensors deployed in the breeding area corresponding to the quail signals are triggered to work; Furthermore, the regional environment detection unit (300) adopts a numerical comparison algorithm when comparing and matching the preset suitable environment threshold with the environmental data, and the expression is: ； in, is the real-time temperature, is the minimum value of the suitable environmental threshold, It is the maximum value of the suitable environment threshold, 1 means match, and 0 means mismatch.

6. The distributed quail breeding environment control system according to claim 5 is characterized in that: The distributed control unit (400) comprises an automatic control module and a signal transmission module; The automatic control module is used to calculate the deviation between the environmental data and the suitable environmental threshold, generate a control command according to the deviation, wherein the environmental conditioning equipment includes a cooling equipment, a heating equipment, a dehumidification equipment and a humidification equipment, and send the generated control command to the corresponding environmental conditioning equipment, and use a PID controller to adjust the environmental parameters; The signal transmission module is used to establish a link with the regional environment detection unit (300), and after each adjustment of the environmental parameters, trigger the regional environment detection unit (300) to work again until a suitable signal is output.

7. The distributed quail breeding environment control system according to claim 6 is characterized in that: The similarity recognition unit (200) also includes a waiting trigger module, which is used to mark the initial time point when the similarity calculation module outputs a quail signal, and stop the operation of the similarity recognition unit (200) until a suitable signal output by the signal transmission module is received, and mark the termination time point.

8. The distributed quail breeding environment control system according to claim 7 is characterized in that: The distributed control unit (400) further comprises a balanced environment feedback module, through which a normal environment threshold value for preventing the environment from exceeding a normal value is set, so that when the regional environment detection unit (300) senses the quail-free signal output by the similarity calculation module, the sensor in the breeding area corresponding to the quail-free signal is triggered to work, and the output environment data is compared with the normal environment threshold value for matching, and if there is a match, a waiting signal is output; if there is no match, a normal control signal is output to drive the automatic control module to adjust the environmental parameters until the signal transmission module outputs a waiting signal.

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