CN-121742264-B - Livestock and poultry guiding method, equipment and system for cooperatively regulating and controlling environmental parameters by multiple fans

CN121742264BCN 121742264 BCN121742264 BCN 121742264BCN-121742264-B

Abstract

A livestock and poultry guiding method, equipment and system for cooperatively regulating and controlling environmental parameters by multiple fans relate to the technical field of livestock and poultry environmental control. The method comprises the steps of establishing a mapping relation library. And dividing a ventilation area based on the guiding task and the real-time position of the livestock and poultry into a target environment maintenance area, a driving environment construction area and an airflow parameter gradual change channel for connecting the target environment maintenance area and the driving environment construction area. And according to the air parameter indexes set in each ventilation area, calculating an operation parameter set of the fan execution unit based on the mapping relation library, and adjusting the air supply quantity and the air supply angle of each fan execution unit. And monitoring displacement change of the livestock and poultry in the airflow parameter gradual change channel, adjusting the space ranges of the driving environment construction area and the airflow parameter gradual change channel when the monitored data meet the area switching condition, and returning to the previous step until the livestock and poultry enter the target environment maintenance area. When the number of the livestock and poultry in the target environment maintenance area reaches a preset threshold value, the fan execution unit is controlled to switch to a global uniform air supply mode.

Inventors

ZHANG JUNTAO
WANG RONGKUN
HU YI
LI HENGJIN
YE JINGYI

Assignees

华侨大学

Dates

Publication Date: 20260512
Application Date: 20260228

Claims (9)

1. The livestock and poultry guiding method based on the multi-fan cooperative regulation and control of the environmental parameters is characterized by comprising the following steps of: S1, a mapping relation library of an airflow field of a ventilation system is established in advance, wherein the relation library defines the corresponding relation between an environmental physical quantity distribution field in a target space and an operation parameter set of a fan execution unit; S2, dividing a ventilation area based on a guiding task and a real-time position of the livestock and poultry, and dividing a controlled space into a target environment maintenance area, a driving environment construction area and an airflow parameter gradual change channel for connecting the target environment maintenance area and the driving environment construction area; S3, generating a target environment physical quantity distribution field in a target space according to air parameter indexes set in each ventilation area, inputting a reverse mapping model to calculate an operation parameter set of a fan execution unit, adjusting the air quantity and the air supply angle of each fan execution unit, and constructing differential airflow organization distribution with spatial gradients in a controlled space so as to drive livestock and poultry to move by using environment pressure difference; S4, monitoring displacement change of the livestock and poultry in the airflow parameter gradual change channel, adjusting the spatial range of the driving environment construction area and the airflow parameter gradual change channel when the monitored data meet the area switching condition, and returning to S3 until the livestock and poultry enter the target environment maintenance area; S5, when the number of the livestock and poultry in the target environment maintenance area reaches a preset threshold value, controlling a fan execution unit to switch to a global uniform air supply mode; S4 specifically comprises the following steps: Determining displacement change or distribution change of livestock and poultry in the airflow parameter gradual change channel based on livestock and poultry positioning data; When the displacement change or the distribution change meets the regional switching condition, reducing or advancing the space range of the driving environment construction region, synchronously adjusting the space range of the airflow parameter gradual change channel to enable the starting end of the airflow parameter gradual change channel to be connected with the adjusted driving environment construction region, wherein the regional switching condition comprises counting the grid proportion occupied by livestock and poultry in grid units divided by the gradual change channel in an updating period as the channel occupancy rate And calculate the displacement of the mass center of the livestock and poultry population along the guiding direction Front advance distance of the inlet side of the channel When (1) And is also provided with And has a duration of not less than Or (b) And has a duration of not less than Triggering the forward movement update of the driving environment construction area, wherein, Is a channel occupancy threshold; The mass center displacement threshold value of the livestock and poultry group; advancing a distance threshold for the front; is a duration threshold; returning to execute S3 to update the fan control instruction set until the livestock and poultry enter the target environment maintenance area; S5 specifically comprises the following steps: Controlling a plurality of fan execution units to cooperatively operate in a uniform ventilation mode, so that the air parameter distribution in a controlled space tends to be uniform; on the premise of meeting the uniform ventilation requirement, the rotating speed of at least part of the fan executing units is reduced or at least part of the fan executing units are closed, so that low-power-consumption operation is realized.
2. The livestock and poultry guiding method based on the multi-fan collaborative regulation and control environment parameters according to claim 1, wherein the reverse mapping model is obtained by taking the distribution data of a temperature field, a wind speed field and a humidity field in a target space as input, taking an operation parameter set consisting of the switching state, the rotating speed and the air supply angle of each fan execution unit as output and adopting a loss function training comprising a physical constraint item; S1 specifically comprises: S11, constructing a three-dimensional simulation model containing the geometric characteristics of the controlled space and the structural characteristics of the internal equipment; s12, based on a three-dimensional simulation model, carrying out batch calculation fluid dynamics simulation by adjusting the operation parameter combination of a fan execution unit to obtain a plurality of groups of steady-state flow field data; S13, extracting environmental field physical quantity distribution data of the movable height layer of the livestock from steady-state flow field data, performing data cleaning and normalization processing, and constructing a training data set containing 'fan control instruction set-pairing data of the environmental field physical quantity distribution'; s14, constructing a neural network solver; S15, designing a loss function containing physical constraints, and performing iterative training on the neural network solver by using a training data set until the loss function converges to obtain a reverse mapping model from the environmental physical quantity distribution field to the fan operation parameter set.
3. The livestock and poultry guiding method based on the multi-fan cooperative regulation and control environment parameters according to claim 2, wherein S13 specifically comprises: In the calculation domain of the three-dimensional simulation model, intercepting a horizontal slice plane covering the activity height of the livestock and poultry; discretizing the horizontal slice plane into a matrix of regular grid points, and extracting the temperature, wind speed and humidity at each grid point; respectively generating a temperature field characteristic diagram, a wind speed field characteristic diagram and a humidity field characteristic diagram, and carrying out dimensionless normalization processing on physical quantities in the characteristic diagrams to obtain environmental field physical quantity distribution data; acquiring an operation parameter set of a corresponding fan execution unit during simulation, wherein the operation parameter set comprises a switching state, a rotating speed and an air supply angle of each fan execution unit, and vectorizing the operation parameter set; establishing a corresponding relation between the environmental field physical quantity distribution data and the operation parameter set, thereby obtaining the training data set; The neural network solver of the S14 is specifically a deep convolution neural network model, wherein the network comprises an input layer, an implicit layer and an output layer; The input layer receives normalized physical quantity distribution data of the environmental field, and the dimension of the input data is as follows Wherein 3 represents three characteristic channels of temperature, wind speed and humidity; And The row number and the column number of the regular grid point matrix are respectively; The hidden layer comprises a plurality of convolution layers, pooling layers and full-connection layers which are alternately connected, and is used for extracting the spatial characteristics of the environmental flow field and performing dimension reduction mapping; The size of the output layer is consistent with the total number of controllable parameters of the fan executing unit, and the output vector corresponds to the operation parameter set of the fan executing unit.
4. The livestock and poultry guiding method based on the multi-fan cooperative regulation and control environment parameters according to claim 2, wherein the loss function of S15 is specifically as follows: ; ; ; In the formula, As a total loss function; Is mean square error; punishment for temperature; Is that The total dimension of the on-off state, the rotating speed and the wind direction angle control parameters of the table fan; Is a predicted instruction vector; is a true instruction vector; Is a regularization coefficient; representing a large value; predicted for mapping model Temperature of the coordinates; The upper limit of the comfortable temperature corresponding to the current livestock and poultry type and the growth stage is adopted; S11 specifically comprises: Establishing a full-size geometric model by using a building drawing of a controlled space, wherein the geometric model comprises a cage frame, a stockline and a waterline internal structure; meshing the fluid domain, and performing mesh independence verification to determine an optimal mesh number; Setting a fan executing unit as a speed inlet boundary and an air outlet as a pressure outlet boundary; s12 specifically comprises the following steps: enumerating the operation parameter combinations of the fan execution units to form a plurality of groups of simulation working conditions, and executing computational fluid dynamics simulation on each group of working conditions until the fan execution units are stable; Recording the spatial distribution data of a temperature field, a wind speed field and a humidity field on the movable height layer of the livestock and poultry in each group of working conditions in a steady state, and forming corresponding physical quantity distribution data of an environment field; and recording a fan control instruction set corresponding to each group of working conditions, wherein the fan control instruction set at least comprises the switching state, the rotating speed and the air supply angle of each fan execution unit.
5. The livestock and poultry guiding method based on the multi-fan cooperative regulation and control environment parameters according to claim 1, wherein the step S2 specifically comprises: Setting a preset fixed endpoint area as a target environment maintenance area, and setting an environment field as a livestock and poultry comfort range; Setting an initial aggregation area of livestock and poultry as a driving environment construction area, and setting an environment field of the initial aggregation area as an uncomfortable environment for promoting the livestock and poultry to leave; And establishing a guiding track connecting the edge of the driving environment construction area with the entrance of the target environment maintenance area, setting the area covered by the track as an airflow parameter gradual change channel, and setting the environment field as a continuous gradient field from an uncomfortable environment to a comfortable environment.
6. The method for guiding livestock and poultry based on the multi-fan collaborative regulation and control environment parameters according to claim 5, wherein the air parameter index corresponding to the livestock and poultry comfort range is set as a first target air parameter index meeting the livestock and poultry comfort range; setting an air parameter index corresponding to the uncomfortable environment for the livestock and poultry to deviate from a comfortable range of the livestock and poultry to form a slight uncomfortable environment for the livestock and poultry to be driven away; and setting the air parameter index corresponding to the air flow parameter gradual change channel as a gradient air parameter index which continuously and smoothly changes from the second target air parameter index to the first target air parameter index.
7. The livestock and poultry guiding method based on the multi-fan cooperative regulation and control environment parameters according to claim 1, wherein the step S3 specifically comprises: Generating a target environment physical quantity distribution field in a target space according to air parameter indexes corresponding to the target environment maintenance area, the driving environment construction area and the air flow parameter gradual change channel respectively; inputting the target environment physical quantity distribution field into a reverse mapping model corresponding to a mapping relation library, and calculating to obtain an operation parameter set of a fan execution unit and generate a fan control instruction set, wherein tolerance threshold constraint and adjacent fan control quantity smoothing processing are executed on the operation parameter set so as to enable an output instruction to meet preset safe ventilation/air regulation constraint and reduce space airflow mutation; Controlling a fan executing unit to adjust the air supply quantity and the air supply angle according to the fan control instruction set so as to construct differential airflow organization distribution with spatial gradient in a controlled space; The operation parameter set at least comprises the switch state, the rotating speed and the air supply angle of each fan executing unit; The air parameter index of the target environment maintenance area meets the constraint of the comfortable range of livestock and poultry; ; ; In the formula (I), in the formula (II), 、 And Respectively setting values of temperature, wind speed and humidity of a target environment maintenance area; 、 And The lower limits of comfortable temperature, wind speed and humidity of livestock and poultry are respectively set; 、 And The upper limits of comfortable temperature, wind speed and humidity of livestock and poultry are respectively set; The air parameter index of the driving environment construction area meets the constraint that the air parameter index is slightly uncomfortable and does not exceed the tolerance threshold; ; ; Either (or) ; ; In the formula (I), in the formula (II), 、 And The set values of the temperature, the wind speed and the humidity of the driving environment construction area are respectively set values; 、 And The upper limit values of the tolerable temperature, wind speed and humidity of the livestock and poultry are respectively; 、 And Respectively lower limit values of temperature, wind speed and humidity which can be tolerated by the livestock and poultry; the gradient air parameter index of the air flow parameter gradual change channel meets the gradient function continuously changing along the channel path position; ; ; ; In the formula, The path position from the driving environment construction area end to the target environment maintenance area end along the airflow parameter gradual change channel; Is the channel length; 、 And Respectively the positions of Temperature, wind speed and humidity at; 、 And The set values of the temperature, the wind speed and the humidity of the driving environment construction area are respectively set values; 、 And Respectively setting values of temperature, wind speed and humidity of a target environment maintenance area; 、 And Respectively at Gradient function of monotonically varying temperature, wind speed and humidity within a zone.
8. The livestock and poultry guiding device with the multiple fans for cooperatively regulating and controlling the environmental parameters is characterized by comprising a processor, a memory and a computer program which is stored in the memory and can be executed by the processor; The computer program can be executed by the processor to realize the livestock and poultry guiding method based on the multi-fan cooperative regulation and control environment parameters according to any one of claims 1 to 7.
9. Beasts and birds guiding system of environmental parameter is regulated and control in coordination to many fans, its characterized in that includes: the environment sensing network is used for collecting the environmental physical quantity data of multiple points in the culture space and sending the environmental physical quantity data to the central controller; The livestock and poultry positioning module is used for acquiring position coordinates and distribution information of livestock and poultry individuals or groups and sending the position coordinates and the distribution information to the central controller; A central controller comprising an environmental distribution and fan control mapping model unit and a dynamic partition and decision algorithm unit, and configured to perform a livestock and poultry guiding method based on multi-fan coordinated regulation and control environmental parameters according to any one of claims 1 to 7; And the fan execution cluster is used for receiving a fan control instruction set issued by the central controller and regulating and controlling the environmental field distribution of the cultivation space.

Description

Livestock and poultry guiding method, equipment and system for cooperatively regulating and controlling environmental parameters by multiple fans Technical Field The invention relates to the technical field of livestock and poultry environment control, in particular to a livestock and poultry guiding method, equipment and system for cooperatively regulating and controlling environmental parameters by multiple fans. Background In the large-scale livestock breeding process, when livestock and poultry are subjected to operations such as grouping, transferring, weighing or epidemic prevention, the livestock and poultry are often required to be guided to a specific area. The operation requirement guiding method has the characteristics of high efficiency and low stress so as to ensure the health of livestock and poultry and improve the cultivation benefit. There is a real urgent need for an automated, intelligent guidance system that aims to reduce human input while avoiding startling or injury to animals, thereby meeting modern animal welfare standards. Currently, common solutions include traditional manual driving methods and automatic driving devices based on sound or electric shock. The manual driving relies on the on-site command of operators, has lower efficiency and is easy to cause the stress reaction of livestock and poultry. The automatic driving device can reduce the labor burden, but can realize driving through manufacturing uncomfortable stimulus, and still violates the animal welfare principle. In addition, the environment regulation and control equipment such as fans and wet curtains are commonly adopted in farms, but the systems usually adopt a centralized control mode, and the fans run at synchronous start and stop and fixed rotation speeds, so that the uniform and stable overall environment can be maintained, and the fine space regulation and control cannot be realized. The existing solutions have obvious drawbacks. Both manual driving and automatic devices are easy to cause stress of livestock and poultry, influence the growth and development of the livestock and poultry, and have potential safety hazards. Traditional environment control systems lack the ability to perceive real-time position of livestock and poultry, and cannot recognize guiding requirements or evaluate effects. Moreover, as the regulation and control logic is extensive, the system is difficult to actively shape different and gradient environment distribution in space, so that the environment regulation and control equipment cannot be upgraded into a dynamic behavior intervention tool, and the wide application of the environment regulation and control equipment in intelligent cultivation is limited. Disclosure of Invention The invention provides a livestock and poultry guiding method, equipment and a system for cooperatively regulating and controlling environmental parameters by multiple fans, so as to improve at least one of the technical problems. In a first aspect, the invention provides a livestock and poultry guiding method based on multi-fan cooperative regulation and control of environmental parameters, which comprises S1 to S5. S1, a mapping relation library of an airflow field of the ventilation system is established in advance. The relation library defines the corresponding relation between the environmental physical quantity distribution field in the target space and the operation parameter set of the fan execution unit. The mapping relation library comprises a reverse mapping model trained by paired data generated by computational fluid dynamics simulation. S2, dividing a ventilation area based on the guiding task and the real-time position of the livestock and poultry, and dividing a controlled space into a target environment maintenance area, a driving environment construction area and an airflow parameter gradual change channel for connecting the target environment maintenance area and the driving environment construction area. S3, generating a target environment physical quantity distribution field in a target space according to air parameter indexes set in each ventilation area, inputting a reverse mapping model, resolving an operation parameter set of a fan execution unit based on a mapping relation library, adjusting air supply quantity and air supply angle of each fan execution unit, and constructing differential airflow organization distribution with spatial gradient in a controlled space so as to drive livestock and poultry to move by using environment pressure difference. And S4, monitoring displacement change of the livestock and poultry in the airflow parameter gradual change channel, adjusting the spatial range of the driving environment construction area and the airflow parameter gradual change channel when the monitoring data meet the area switching condition, and returning to S3 until the livestock and poultry enter the target environment maintenance area. And S5, when the number of the livestock a