CN-121970692-A - Intelligent feed feeding amount regulating and controlling method and system

CN121970692ACN 121970692 ACN121970692 ACN 121970692ACN-121970692-A

Abstract

The invention relates to the technical field of intelligent livestock raising, in particular to an intelligent feed feeding amount regulating and controlling method and system, comprising the following steps of collecting weight data, calculating growth acceleration and matching growth trend correction configuration, and monitoring environmental parameters, calculating heat dissipation power and environmental enthalpy value compensation quantity, generating target feeding total weight in combination with basic requirements, generating a swallowing phase silence window period based on sound wave envelope analysis, and responding to a trigger signal to drive a motor to execute pulse release. According to the invention, the growth inertia state is evaluated to generate the correction configuration to adapt to the actual development rate, the environmental thermal effect is quantified to generate the compensation configuration to offset the cold stress loss, the chewing and swallowing phases are accurately divided based on the sound wave signals, the swallowing action is utilized to trigger pulse driving, full-dimension accurate feeding from the macroscopic growth trend to the microscopic feeding rhythm is realized, the real-time synchronization of energy supply and biological metabolism requirements is ensured, and the feed utilization efficiency is obviously improved while the growth potential of livestock is ensured.

Inventors

Luan Yuping
QIN XIMENG
GUO BAO
LIU KAI
GUO YUGUO
ZHANG YAN
LIU SHIHUA
WANG XUYIN
MA JUNRU

Assignees

四川大祥百事达生物科技有限公司

Dates

Publication Date: 20260505
Application Date: 20260407

Claims (10)

1. An intelligent feed feeding amount regulating and controlling method is characterized by comprising the following steps: s1, acquiring average weight time sequence data of livestock groups, calculating group growth acceleration data by discrete difference, acquiring theoretical growth acceleration references by combining livestock varieties, comparing, and matching with growth trend correction configuration; S2, calculating surface area data and metabolic power of organisms according to the growth trend correction configuration, monitoring back high air flow speed data to calculate a convection heat transfer coefficient, calculating heat dissipation power by combining body surface area and ambient air temperature data, and acquiring an ambient enthalpy value compensation amount based on the heat dissipation power and the metabolic power; s3, obtaining basic feeding demand data according to livestock varieties, weighting and correcting the basic feeding demand data and the growth trend correction configuration, obtaining an inertia correction amount, and superposing the inertia correction amount and the environmental enthalpy value compensation amount to generate a target total feeding weight; S4, collecting a sound wave signal flow in a trough area, executing Hilbert transformation and generating sound wave amplitude envelope curve data, constructing background noise base parameters, dividing chewing peak fragments and intermittent trough fragments, updating average chewing period parameters and generating minimum swallowing pause limits, and generating swallowing phase silence window periods when the intermittent trough fragments exceed the minimum swallowing pause limits; and S5, responding to the trigger signal of the swallowing phase silence window period, driving a motor to release single feed amount, deducting the single release amount from the target feeding total weight, updating the residual feeding amount record, and stopping an instruction and generating a feeding task completion record when the residual feeding amount record is cleared.
2. The method for intelligently regulating and controlling the feeding quantity of the feed according to claim 1, wherein the growth trend correction configuration comprises a growth rate gain coefficient, a development inertia factor and a dynamic energy demand regulation index, the environmental enthalpy value compensation quantity comprises a convection heat loss compensation value, a cold stress energy compensation limit and a feed heat conversion increment, the target total feeding weight comprises a basic ration reference mass, a growth inertia correction mass and an environmental heat additional mass, the swallowing phase silence window period specifically comprises a window starting time stamp, an effective duration period mark and a swallowing action confidence coefficient, and the feeding task completion record comprises an accumulated feeding total mass, a pulse execution count and a task termination time node.
3. The method for intelligently regulating and controlling the feed feeding amount according to claim 1, wherein the obtaining process of the growth trend correction configuration is specifically as follows: S111, acquiring average weight time sequence data of livestock groups, performing second-order discrete difference operation of time dimension on the average weight time sequence data of the livestock groups, calculating weight increment change rate at adjacent sampling moments, performing smooth filtering treatment on the results, eliminating observation noise and random fluctuation, quantifying dynamic net growth rate characteristics of the groups in a current monitoring time window, and generating group growth acceleration data; S112, acquiring a preset theoretical growth curve model containing variety characteristics according to livestock varieties, reading a day-to-day time index parameter of a current breeding stage, deducing and calculating a standard metabolic growth acceleration under the current time index, constructing a basic reference value, and establishing a theoretical growth acceleration reference; s113, calling the group growth acceleration data and the theoretical growth acceleration reference, calculating algebraic difference between the group growth acceleration data and the theoretical growth acceleration reference, judging the current growth inertia state, searching a preset multidimensional adjustment coefficient matrix, searching and extracting matched control parameter combination lines, and generating a growth trend correction configuration.
4. The intelligent feed feeding amount regulating and controlling method according to claim 3, wherein the process of obtaining the theoretical growth curve model is specifically as follows: and acquiring full life cycle weight and day-to-day age corresponding data of the corresponding livestock variety in a standardized feeding environment, performing numerical fitting on the data by adopting a nonlinear least square method, judging asymptotic limit weight, maximum relative growth rate and growth inflection point time parameters representing growth characteristics, generating a continuous time function and storing.
5. The intelligent feed feeding amount regulating and controlling method according to claim 3, wherein the establishing process of the multidimensional regulating coefficient matrix is specifically as follows: Setting discretization deviation amplitude gradients covering positive and negative deviation directions, executing compensation feeding test of multi-level nutrition level for each gradient, recording growth rate recovery data under different feed energy and feeding amount combinations, solving the target control parameters for enabling the growth rate to return to theoretical growth acceleration reference based on the data in a reverse direction, extracting corresponding energy density correction value and feeding amount proportional value, and mapping and writing into a storage unit according to deviation directions and amplitude indexes.
6. The intelligent feed feeding amount regulating and controlling method according to claim 3, wherein the environmental enthalpy compensation amount obtaining process specifically comprises the following steps: S211, monitoring back high air flow speed data and ambient air temperature data, calculating a convection heat transfer coefficient according to the back high air flow speed data, extracting the average weight of the current group related to the growth trend correction configuration, calculating organism surface area data and basic metabolism heat generation power data based on the average weight of the current group, and establishing a biological thermal basic parameter set; s212, calling the biological thermal basic parameter set, executing convection heat exchange operation by combining the ambient air temperature data and the convection heat transfer coefficient, calculating the heat flux dissipation rate of the livestock body surface, multiplying the heat flux dissipation rate by the organism surface area data, and generating total heat dissipation power data; s213, calling the total heat dissipation power data and the basic metabolism heat generation power data in the biological thermal basic parameter set, and calculating the environment enthalpy value compensation quantity.
7. The intelligent feed feeding amount regulating and controlling method according to claim 6, wherein the obtaining process of the target feeding total weight is specifically as follows: s311, inputting average weight and cultivation day-old of livestock groups into a theoretical growth curve model as indexes, traversing nutrition distribution logic embedded in the model, matching unit net energy values required by basic metabolism and standard weight increment maintenance, and quantizing theoretical feed consumption quality under a theoretical preset path by combining energy conversion density of a preset feed formula to generate basic feeding demand data; S312, based on the basic feeding demand data, reading the growth trend correction configuration, dynamically scaling the reference feeding quantity according to the deviation amplitude of the actual growth acceleration relative to the theoretical value, judging the correction feeding value conforming to the current actual growth rate, and generating an inertia correction amount; S313, calling the inertia correction amount, executing linear superposition operation by combining the environment enthalpy value compensation amount, executing discretization rounding and preset maximum feeding threshold cutting processing on the merging result according to the minimum blanking resolution and the maximum single feeding limit of the automatic feeding equipment, constructing an execution instruction of a single feeding task, and generating the target total feeding weight.
8. The intelligent feed feeding amount regulating and controlling method according to claim 7, wherein the acquisition process of the swallowing phase silence window period is specifically as follows: S411, collecting acoustic wave signal flow in a trough area, performing Hilbert transform on the acoustic wave signal flow and generating acoustic wave amplitude envelope data, constructing background noise base parameters by performing histogram statistical analysis, dividing wave crest forms and wave trough fragments according to the background noise base parameters, extracting time intervals of adjacent wave crests and generating a chewing period time sequence set; S412, calling the chewing period time sequence set, calculating an arithmetic mean value and a discrete standard deviation of a time interval, and establishing a minimum swallowing pause limit; And S413, monitoring the duration of the current trough segment in real time, comparing the duration with the minimum swallowing pause limit in a time domain numerical value, and triggering a state latching logic when the duration is longer than the minimum swallowing pause limit to generate a swallowing phase silence window period.
9. The intelligent feed feeding amount regulating and controlling method according to claim 8, wherein the acquiring process of the feeding task completion record is specifically as follows: S511, responding to the trigger signal of the swallowing phase silence window period, calling a motor driving time sequence parameter to construct a discrete pulse driving instruction, controlling a spiral conveying motor to execute single quantitative rotary motion, collecting an angular displacement signal of a motor rotating shaft, verifying mechanical action and generating a single pulse feeding execution record; S512, calling the single pulse feeding execution record, deducting the single rotation discharging weight calibration value from the target feeding total weight according to the single rotation discharging weight calibration value, writing the operation result back to a memory to cover the original value, and establishing real-time residual feed quantity state data; s513, acquiring the real-time residual feed quantity state data, comparing the real-time residual feed quantity state data with a zero value cut-off bit, sending a cut-off instruction to a motor control port when the real-time residual feed quantity state data reach and are lower than the zero value cut-off state, and summarizing the starting time stamp and the accumulated release weight of each feeding period to generate a feeding task completion record.
10. An intelligent feed amount regulating and controlling system, characterized in that the system is used for realizing the intelligent feed amount regulating and controlling method according to any one of claims 1-9, and the system comprises: The growth trend analysis module is used for acquiring average weight time sequence data of livestock groups, calculating group growth acceleration data in a discrete differential mode, acquiring theoretical growth acceleration references by combining livestock varieties, comparing and matching with growth trend correction configuration; The environment compensation calculation module is used for calculating the surface area data and the metabolic power of the organism according to the growth trend correction configuration, monitoring the air flow speed data at the back high position, calculating the convection heat transfer coefficient, calculating the heat dissipation power by combining the surface area data and the ambient air temperature data, and obtaining the environment enthalpy value compensation quantity based on the heat dissipation power and the metabolic power; The feeding amount decision module acquires basic feeding demand data according to livestock varieties, weights and corrects the basic feeding demand data and the growth trend correction configuration, acquires an inertia correction amount, and superimposes the inertia correction amount and the environmental enthalpy value compensation amount to generate a target total feeding weight; The feeding behavior recognition module is used for collecting acoustic wave signal flow in a trough area, executing Hilbert transformation and generating acoustic wave amplitude envelope curve data, constructing background noise base parameters, dividing chewing peak fragments and intermittent trough fragments, updating average chewing period parameters and generating minimum swallowing pause limits, and generating swallowing phase silence window periods when the intermittent trough fragments are judged to exceed the minimum swallowing pause limits; And the feeding execution control module responds to the trigger signal of the swallowing phase silence window period, drives the motor to release single feed amount, deducts the single release amount from the target feeding total weight, updates the residual feeding amount record, and terminates the instruction and generates the feeding task completion record when the residual feeding amount record is cleared.

Description

Intelligent feed feeding amount regulating and controlling method and system Technical Field The invention relates to the technical field of intelligent livestock raising, in particular to an intelligent feed feeding amount regulating and controlling method and system. Background The intelligent livestock raising technology field relates to a comprehensive technical system for digitally monitoring and managing the whole livestock raising process by utilizing an Internet of things sensor, a wireless communication network and automatic execution equipment, the core matters of the intelligent livestock raising technology field comprise the regulation and control of raising environment parameters, the monitoring of physical signs of livestock, the early warning of epidemic risks and the accurate supply of feed drinking water, the field collects field environment data and biological body states in real time by arranging a temperature sensor, a humidity sensor, a harmful gas detector and a video monitoring camera in a raising colony house, the collected data is collected to a central management platform through a transmission network, the platform gives control instructions to a fan, a water curtain, a light supplementing lamp and an automatic feeder according to a preset raising process model, the method for intelligently regulating and controlling the feeding quantity of the traditional feed is characterized in that a plant manager manually inputs fixed feeding time points and corresponding screw conveying motor operation time or blanking valve opening angles for each feeding on a control terminal of automatic feeding equipment according to past breeding experience or standard feeding manuals, a clock controller in the feeding equipment monitors that the system time reaches the preset feeding time and then closes a circuit to drive the motor to rotate or controls an electromagnetic valve to open, the feed is conveyed to a feeding trough from a storage tower, and when the motor operation time or the valve opening time reaches the preset time, the power supply is cut off to stop blanking. The traditional feed feeding mode relies on past experience of breeding personnel or a general standard manual to set fixed feeding parameters, the feeding quantity is controlled only by setting the running time of a motor or the opening angle of a valve, dynamic difference of individual growth speed of livestock and real-time influence of environmental temperature and humidity change on energy metabolism of organisms are ignored, so that the actual nutrition requirements of the livestock in different growth stages and under climatic conditions cannot be accurately matched, and a real-time feeding behavior rhythm monitoring and feedback mechanism for the livestock is lacked, waste is caused by excessive feed feeding or insufficient feeding is caused to limit growth potential, and the feed conversion rate and the breeding economic benefit are reduced. Disclosure of Invention The invention aims to solve the defects in the prior art, and provides an intelligent feed feeding amount regulating and controlling method and system. In order to achieve the purpose, the invention adopts the following technical scheme that the intelligent regulation and control method for the feed feeding quantity comprises the following steps: s1, acquiring average weight time sequence data of livestock groups, calculating group growth acceleration data by discrete difference, acquiring theoretical growth acceleration references by combining livestock varieties, comparing, and matching with growth trend correction configuration; S2, calculating surface area data and metabolic power of organisms according to the growth trend correction configuration, monitoring back high air flow speed data to calculate a convection heat transfer coefficient, calculating heat dissipation power by combining body surface area and ambient air temperature data, and acquiring an ambient enthalpy value compensation amount based on the heat dissipation power and the metabolic power; s3, obtaining basic feeding demand data according to livestock varieties, weighting and correcting the basic feeding demand data and the growth trend correction configuration, obtaining an inertia correction amount, and superposing the inertia correction amount and the environmental enthalpy value compensation amount to generate a target total feeding weight; S4, collecting a sound wave signal flow in a trough area, executing Hilbert transformation and generating sound wave amplitude envelope curve data, constructing background noise base parameters, dividing chewing peak fragments and intermittent trough fragments, updating average chewing period parameters and generating minimum swallowing pause limits, and generating swallowing phase silence window periods when the intermittent trough fragments exceed the minimum swallowing pause limits; and S5, responding to the trigger signal of the swallowing pha