Poultry breeding environment monitoring system and monitoring method

Abstract

The invention discloses a poultry breeding environment monitoring system and method, and relates to the field of intelligent breeding, the poultry breeding environment monitoring system comprises a first temperature detection module, a second temperature detection module and a control terminal, the control terminal is electrically connected with the first temperature detection module and the second temperature detection module, and the control terminal is further connected with a weather information capturing module; the method comprises the following steps: firstly, acquiring an indoor temperature actual measurement parameter and an outdoor temperature actual measurement parameter of a poultry breeding shed, constructing a first prediction model according to the parameters, then capturing an air temperature prediction parameter disclosed by weather forecast, predicting the outdoor temperature according to the air temperature prediction parameter, and acquiring an outdoor temperature prediction parameter; and finally, outputting an indoor temperature prediction result in combination with the outdoor temperature prediction parameter and the first prediction model. According to the method, the air temperature prediction parameters released by the weather forecast can be converted into the indoor temperature prediction result of the poultry breeding shed, so that the temperature change in the poultry breeding shed is known in advance, and farmers are helped to adjust the temperature timely and accurately.

Description

Technical Field

[0001] The present application relates to the technical field of intelligent livestock and poultry breeding management, and in particular to a poultry breeding environment monitoring system and monitoring method. Background Art

[0002] The breeding shed model has been widely used as a mature large-scale poultry sample model. In the process of large-scale breeding in the breeding shed, the temperature and humidity in the breeding shed are important environmental control indicators, especially the temperature, which directly affects the growth status of poultry such as chickens; In the prior art, the temperature changes in the breeding shed are generally monitored by setting up multiple sensors. However, the above monitoring measures can only detect and monitor the current temperature. It is impossible to predict the temperature change trend or future temperature values, nor can it provide reference opinions for the temperature control of the breeding shed. The above technology lags behind in monitoring environmental parameters as a whole. Summary of the invention

[0003] The present application provides a poultry farming environment monitoring system and a monitoring method, aiming to solve the technical problem of lagging environmental parameter monitoring in the prior art.

[0004] To solve the above technical problems, the present application provides: A poultry breeding environment monitoring system, comprising: The first temperature detection module is used to obtain the measured parameters of the indoor temperature in the poultry breeding shed; The second temperature detection module is used to obtain the actual measured parameters of the outdoor temperature outside the poultry breeding shed; A weather information capture module is used to obtain temperature forecast parameters for the administrative area where the poultry breeding shed is located within the forecast time period; The control terminal is used to obtain the indoor temperature measured parameters, the outdoor temperature measured parameters and the air temperature change parameters, and output the indoor temperature prediction result according to the indoor temperature measured parameters, the outdoor temperature measured parameters and the air temperature change parameters.

[0005] Optionally, the first temperature detection module includes a plurality of temperature sensors, and each of the temperature sensors is disposed at each temperature detection point in the poultry breeding shed.

[0006] Optionally, the control terminal includes a data acquisition module, a model construction module and a parameter calculation module; the data acquisition module is used to obtain indoor temperature measured parameters, outdoor temperature measured parameters and air temperature prediction parameters; the model construction module is used to construct a first prediction model and an outdoor temperature prediction model, and the parameter calculation module is used to calculate the indoor temperature prediction result.

[0007] Optionally, the environment monitoring system further includes a handheld terminal, which is communicatively connected to the control terminal and is used to receive the indoor temperature prediction parameter.

[0008] Accordingly, the present application also discloses a monitoring method based on the above monitoring system, comprising the following steps: Obtaining the measured indoor and outdoor temperature parameters of the poultry breeding shed; Constructing a first prediction model according to the indoor temperature measured parameters and the outdoor temperature measured parameters; Obtaining temperature prediction parameters disclosed in the weather forecast, wherein the temperature prediction parameters refer to temperature prediction parameters of the administrative area where the poultry breeding shed is located within the prediction time period; Predicting the outdoor temperature according to the air temperature prediction parameter to obtain the outdoor temperature prediction parameter; The indoor temperature prediction result within the prediction time period is output according to the outdoor temperature prediction parameter and the first prediction model.

[0009] Optionally, constructing a first prediction model according to the indoor temperature measured parameters and the outdoor temperature measured parameters comprises the following steps: Retrieve the measured parameters of indoor temperature and outdoor temperature; According to the order of sampling time and temperature detection point, each indoor temperature measured parameter is numbered, and the numbered indoor temperature measured parameter T is obtained. 1、1 , T 1、2 , ..., T 2、1 , T 2、1 , ..., T m、n ; Where m represents the temperature detection point number, and n represents the sampling time sequence number; According to the order of sampling time, each outdoor temperature measured parameter is numbered, and the numbered outdoor temperature measured parameters T1, T2, ..., T n , where n represents the sampling time sequence number; Generate a temperature parameter set for each temperature detection point according to the sampling time sequence number; According to each of the temperature parameter sets, the relationship functions f1, f2, ..., f3 between the indoor temperature measured parameters and the outdoor temperature measured parameters are respectively generated for each temperature detection point by fitting. m , each of the relationship functions f1, f2, ..., f m The results are summarized and used as the first prediction model.

[0010] Optionally, according to each of the temperature parameter sets, a relationship function f1, f2, ..., f3 between the indoor temperature measured parameters and the outdoor temperature measured parameters is generated for each temperature detection point by fitting. m, including the following steps: Constructing a first coordinate system, wherein the horizontal axis of the first coordinate system represents the measured outdoor temperature parameter, and the vertical axis represents the measured indoor temperature parameter; Retrieve the temperature parameter set of the temperature detection point numbered 1 {(T1, T 1、1 )、(T2、T 1、2 )、...、(T n , T 1、n )}; According to the temperature parameter set {(T1, T 1、1 )、(T2、T 1、2 )、...、(T n , T 1、n )}} calibrating a plurality of first calculation points in the first coordinate system; According to the fitting calculation of each of the first calculation points, the relationship function of the temperature detection point is obtained, and its expression is T 1、n =f1(T n ); Retrieve the temperature parameter sets of other temperature detection points respectively, and repeat the above calculation to obtain the relationship functions f1, f2, ..., f of all temperature detection points. m .

[0011] Optionally, predicting the outdoor temperature measured parameter according to the air temperature prediction parameter to obtain the outdoor temperature prediction parameter includes the following steps: Retrieve the historical outdoor temperature measured parameters in a certain period of time in the past and the historical temperature forecast parameters published by the weather forecast; Constructing an outdoor temperature prediction model based on the historical outdoor temperature measured parameters and the historical temperature prediction parameters; The air temperature prediction parameters within the prediction time period are imported into the outdoor temperature prediction model to obtain the outdoor temperature prediction parameters for different time periods.

[0012] Optionally, constructing an outdoor temperature prediction model according to the historical outdoor temperature measured parameters and the historical temperature prediction parameters comprises the following steps: Numbering each historical outdoor temperature measured parameter and the historical temperature prediction parameter respectively according to the order of sampling time; Classify each historical outdoor temperature measured parameter and each historical temperature prediction parameter according to the number to obtain a historical temperature parameter set; Construct the second coordinate system; Marking a plurality of second calculation points in the second coordinate system according to the historical temperature parameter set; A fitting calculation is performed according to each of the second calculation points to obtain an outdoor temperature prediction model.

[0013] Optionally, outputting the indoor temperature prediction result within the prediction time period according to the outdoor temperature prediction parameter and the first prediction model comprises the following steps: Obtain any of the outdoor temperature prediction parameters; Inputting any outdoor temperature prediction parameter into the first prediction model respectively to obtain the indoor temperature prediction parameter of each temperature detection point at a certain moment within the prediction time period; Repeat the steps to obtain any of the outdoor temperature prediction parameters, and obtain all indoor temperature prediction parameters of each temperature detection point within the prediction time period; Generate a temperature change curve of each temperature detection point and a temperature change surface diagram of the poultry breeding shed at each sampling time according to the sequence of sampling time and the indoor temperature prediction parameter; The temperature change curve of each temperature detection point and the temperature change surface diagram of the poultry breeding shed at each sampling time are integrated as the indoor temperature prediction result output.

[0014] Compared with the prior art, this application has the following beneficial effects: The present application includes a first temperature detection module, a second temperature detection module and a control terminal, the control terminal is electrically connected to the first temperature detection module and the second temperature detection module respectively, and the control terminal is also connected to a weather information capture module; Correspondingly, the present application also discloses a control method based on the above control system, firstly obtaining the indoor temperature measured parameters and the outdoor temperature measured parameters of the poultry breeding shed; and constructing a first prediction model according to the indoor temperature measured parameters and the outdoor temperature measured parameters, then capturing the temperature prediction parameters within the prediction time period disclosed in the weather forecast, and predicting the outdoor temperature according to the temperature prediction parameters, obtaining the outdoor temperature prediction parameters, and finally combining the outdoor temperature prediction parameters and the first prediction model to output the indoor temperature prediction result within the prediction time period; Due to the isolation and shielding of the poultry breeding shed, there is always a certain difference between the indoor temperature and the outdoor temperature of the poultry breeding shed. The above difference is caused by the combined effect of multiple factors, including the thermal insulation performance, ventilation capacity, terrain factors and weather conditions of the poultry breeding shed. Among them, weather conditions are the largest variable, and the change speed of other factors is relatively slow. Therefore, it can be considered as a constant factor during the prediction time period, that is, when the poultry breeding shed does not change, it can be considered that the outdoor temperature and the indoor temperature change according to a relatively stable relationship. The present application visualizes the above relationship by fitting function relationships of multiple groups of indoor measured temperatures and outdoor measured temperatures. In the above function fitting process, the indoor measured temperature and the outdoor measured temperature are both the final values ​​of weather changes. That is, the present application avoids the complex changes of various factors by fitting the final result, fundamentally simplifies the entire calculation process, and improves the accuracy of the prediction; Secondly, due to the changes in the geographical environment, there is a certain difference between the outdoor environment of the poultry breeding shed and the temperature predicted by the weather forecast. When the geographical environment does not change much, it can be considered that the outdoor temperature and the temperature of the weather forecast also change according to a specific relationship. The above relationship can also be visualized by fitting the corresponding data. Since the above fitting is directly performed through the temperature, it can also avoid the complex changes of various factors, fundamentally simplifying the entire calculation process and improving the accuracy of the prediction. By functionalizing the above-mentioned change relationship, a stable connection is established between the temperature in the weather forecast and the indoor temperature, and finally the temperature forecast parameters issued by the meteorological station are converted into the forecast results of the indoor temperature, so as to know the temperature changes in the poultry breeding shed in advance; Compared with the prior art, the present application can convert the temperature prediction parameters published by the weather forecast into the indoor temperature prediction results of the poultry breeding shed, so as to know the temperature changes in the poultry breeding shed in advance. On the one hand, it can help breeders to take timely and accurate intervention measures in extreme weather conditions, avoid the further deterioration of the temperature in the breeding shed, and ensure the stability of the temperature in the breeding shed; On the other hand, the above-mentioned temperature changes can timely discover the blind spots and difficult areas of cooling or warming in the breeding shed, making it convenient for breeders to make targeted improvements and repairs to the structure of the breeding shed, thereby improving the efficiency of intervention in temperature changes in the breeding shed.

[0015] Finally, through the indoor temperature prediction results, the present application can also clearly know the temperature fluctuations in different areas of the breeding shed, so as to more scientifically divide different functional areas in the breeding shed, match the corresponding areas for poultry breeding, and also provide basic theoretical data for the breeding of poultry of different age groups, which is conducive to improving the breeding efficiency of poultry. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the specific implementation of the present application or the technical solution in the prior art, the following is a brief introduction to the drawings required for the specific implementation or the prior art description. In all drawings, similar elements or parts are generally identified by similar reference numerals. In the drawings, each element or part is not necessarily drawn according to the actual scale.

[0017] Figure 1 A schematic diagram of the structure of a poultry breeding environment monitoring system involved in this application; Figure 2 A flow chart of a poultry farming environment monitoring method involved in this application; Figure 3 It is a schematic diagram of the structure of the control terminal; Figure 4 A schematic diagram for generating a first prediction model; Figure 5 Schematic diagram for generating outdoor temperature prediction model; Figure 6 This is an example diagram of the temperature change curve; Figure 7 is the temperature variation surface diagram; Figure numerals: 1-first temperature detection module, 2-second temperature detection module, 3-weather information capture module, 4-control terminal, 5-handheld terminal, 401-data acquisition module, 402-model construction module, 403-parameter calculation module.

[0018] The realization of the purpose, functional features and advantages of this application will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0019] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0020] The precise feeding method for livestock and poultry based on image recognition of the present application, when judging the food intake and weight of individual livestock and poultry, is not simply judged by setting a threshold, but analyzed and judged by a deep learning model, which can better adapt to the differences between different livestock and poultry individuals, thereby improving the accuracy of judgment. In addition, the precise feeding method for livestock and poultry based on image recognition described in the present application can monitor the feeding situation and weight changes of livestock and poultry in real time. If a problem is found, an alarm message can be sent to the feeder in time, so that measures can be taken in time to ensure the healthy growth of livestock and poultry. It can be seen that the present application greatly improves the breeding efficiency, reduces labor costs, and improves economic benefits through automated monitoring and intelligent judgment.

[0021] It should be noted that all directional indications in the embodiments of the present application (such as up, down, left, right, front, back, etc.) are only used to explain the relative position relationship, movement status, etc. between the components in a certain specific posture. If the specific posture changes, the directional indication will also change accordingly.

[0022] In this application, unless otherwise clearly specified and limited, the terms "connection", "fixation", etc. should be understood in a broad sense. For example, "fixation" can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium, it can be the internal connection of two elements or the interaction relationship between two elements, unless otherwise clearly defined. For ordinary technicians in this field, the specific meanings of the above terms in this application can be understood according to specific circumstances.

[0023] In addition, if there are descriptions involving "first", "second", etc. in the embodiments of the present application, the descriptions of "first", "second", etc. are only used for descriptive purposes and cannot be understood as indicating or implying their relative importance or implicitly indicating the number of technical features indicated. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. In addition, the meaning of "and / or" appearing in the full text includes three parallel schemes. Taking "A and / or B" as an example, it includes scheme A, or scheme B, or a scheme that satisfies both A and B. In addition, the technical solutions between the various embodiments can be combined with each other, but it must be based on the ability of ordinary technicians in the field to implement. When the combination of technical solutions is contradictory or cannot be implemented, it should be considered that such a combination of technical solutions does not exist and is not within the scope of protection required by this application. Implementation Method 1

[0024] Reference Figure 1 and Figure 3 This embodiment discloses a poultry breeding environment monitoring system, including a first temperature detection module 1 and a second temperature detection module 2, wherein the first temperature detection module 1 includes a plurality of temperature sensors and a plurality of support frames, each of which has a temperature sensor installed on the top, and the support frame is preferably a tripod; It should be noted that the height of the support frame needs to be determined according to the height of the poultry species raised. For example, the height of an adult chicken is 40-50 cm, and the height of the temperature sensor from the ground is 45-55 cm; On the one hand, it can prevent poultry from damaging the temperature sensor, and on the other hand, it can make the detected temperature as close as possible to the temperature of the poultry's body sensing area; The support frame may also be a support rod, a mounting plate is arranged on the top of the support rod, the temperature sensor is fixed on the mounting plate, and the support rod is fixed to the ground by pre-embedded manner, thereby improving the stability and accessibility of the temperature sensor after installation; The number of the temperature sensors is determined according to the size of the breeding shed and the breeding density, and the installation points thereof also need to be determined according to the size of the breeding shed and the breeding density. However, the installation points of the temperature sensors need to be distributed throughout the breeding shed, and the arrangement density thereof (i.e., the spacing between any two adjacent temperature sensors) can be adjusted according to the actual situation; The second temperature detection module 2 includes a temperature sensor, and the temperature sensor of the second temperature detection module 2 is arranged in a ventilated and open place outdoors, preferably on the roof of a breeding shed; Furthermore, the environmental monitoring system further includes a control terminal 4, the control terminal 4 includes a computer and a PLC, the computer is electrically connected to the PLC via a data bus, and the PLC is respectively connected to each temperature sensor of the first temperature detection module 1 and the second temperature detection module 2 via a data line; The environmental monitoring system further includes a weather information capture module 3, which is a commonly used network information capture crawler, which is loaded in the industrial control computer; it should be noted that the capture object of weather information is generally set to the local weather station official website; The control terminal 4 includes a data acquisition module 401, a model building module 402 and a parameter calculation module 403. The data acquisition module 401 acquires all parameters uploaded by the first temperature detection module 1 and the second temperature detection module 2 through the PLC; at the same time, the data acquisition module 401 is also connected to the weather information capture module 3 to obtain the temperature prediction parameters captured by it; The model building module 402 is used to build a first prediction model based on the indoor temperature measured parameters and the outdoor temperature measured parameters, and also to build an outdoor temperature prediction model based on the historical outdoor temperature measured parameters and the historical temperature prediction parameters; It should be noted that the first prediction model and the outdoor temperature prediction model need to be updated after a period of time, wherein the update cycle of the first prediction model is one week or several days; and the update cycle of the outdoor temperature prediction model is one day or several hours, to ensure the accuracy of the prediction results; The parameter calculation module 403 calculates the indoor temperature prediction result based on the latest first prediction model and the outdoor temperature prediction model received.

[0025] Furthermore, the environmental monitoring system further comprises a handheld terminal 5, which is preferably a mobile phone. The handheld terminal 5 and the computer can be connected by wireless communication using a JAVA-based industrial control mobile data communication solution, or by a gateway device. The handheld terminal 5 is used by farmers to receive indoor temperature prediction results, which is conducive to improving the convenience of data query. Implementation Method 2

[0026] Reference Figure 2 As another optional embodiment of the present application, a method for monitoring a poultry breeding environment is disclosed, comprising the following steps: S1. Obtaining the measured indoor and outdoor temperature parameters of the poultry breeding shed; Before use, it is necessary to select several layout points according to the structure of the breeding greenhouse. The number and location of the layout points are determined according to actual needs, and a temperature sensor is set at each layout point; Then, the temperature sensor of the second temperature detection module is installed on the roof of the breeding shed; During normal operation, the temperature parameters of each deployment point are obtained through the first temperature detection module, and the above temperature parameters are grouped into the same set as the indoor temperature actual measurement parameters; Similarly, obtain the measured parameters of outdoor temperature; It should be pointed out that the indoor temperature measured parameters and the outdoor temperature measured parameters can be historical parameters obtained several days or weeks ago, or can be measured parameters one day or several hours before the time to be predicted. However, in order to minimize the impact of the state change of the breeding shed itself (such as damage to the breeding shed, etc.) on the prediction result, the interval between the time to be predicted and the acquisition time of the above-mentioned measured parameters should be shortened as much as possible, that is, the measured parameters one day or several hours before the time to be predicted are preferred; S2. constructing a first prediction model according to the indoor temperature measured parameters and the outdoor temperature measured parameters; S21, retrieve the indoor temperature measured parameters and the outdoor temperature measured parameters; S22, numbering each indoor temperature measured parameter according to the order of sampling time and temperature detection point, and obtaining the numbered indoor temperature measured parameter T 1、1 , T 1、2 , ..., T 2、1 , T 2、1 ,..., T m、n ; Where m represents the temperature detection point number, and n represents the sampling time sequence number; S23, numbering each outdoor temperature measured parameter according to the order of sampling time, and obtaining the numbered outdoor temperature measured parameters T1, T2, ..., T n , where n represents the sampling time sequence number; After the numbering is completed, the corresponding parameter set {T1, T2, ..., T n}, n represents the sampling time sequence number; S24, generating a temperature parameter set for each temperature detection point according to the sampling time sequence number; After the numbering is completed, the parameters of the same temperature detection point are grouped into the same data set, such as {T 1、1 , T 1、2 , ..., T 1、n}, {T 2、1 , T 2、2 , ..., T 2、n}, {T 3、1 , T 3、2 , ..., T 3、n}, ..., {T m、1 , T m、2 , ..., T m、n}, where m represents the temperature detection point number, and n represents the sampling time sequence number; Then, the outdoor temperature measured parameter set {T1, T2, ..., T n}, n represents the sampling time sequence number; Then, a temperature parameter set is generated for each temperature detection point according to the sampling time sequence number. For example, the expression of the temperature parameter set of the temperature detection point numbered 1 is {(T1, T 1、1 )、(T2、T 1、2 )、...、(T n , T 1、n )}; The expression of the temperature parameter set of the temperature detection point numbered 2 is {(T1, T 2、1 )、(T2、T 2、2 )、...、(T n , T 2、n )}; S25, according to each of the temperature parameter sets, respectively, generate the relationship functions f1, f2, ..., f3 between the indoor temperature measured parameters and the outdoor temperature measured parameters for each temperature detection point. m , each of the relationship functions f1, f2, ..., f m The results are summarized and used as the first prediction model.

[0027] S251, reference Figure 4 , construct a first coordinate system, wherein the horizontal axis of the first coordinate system represents the measured outdoor temperature parameter, and the vertical axis represents the measured indoor temperature parameter; S252, retrieve the temperature parameter set of the temperature detection point numbered 1 {(T1, T 1、1 )、(T2、T 1、2 )、...、(T n , T 1、n )}; S253, according to the temperature parameter set {(T1, T 1、1 )、(T2、T1、2 )、...、(T n , T 1、n )} calibrating a plurality of first calculation points in the first coordinate system; According to the temperature parameter set {(T1, T 1、1 )、(T2、T 1、2 )、...、(T n , T 1、n )} Draw points in the first coordinate system, and all the drawn discrete points are first calculation points; S254, performing fitting calculation according to each of the first calculation points to obtain the relationship function of the temperature detection point, whose expression is T 1、n =f1(T n ).

[0028] A computer program is used to perform fitting calculations on the above discrete first calculation points, and the relationship function between the measured indoor temperature parameters and the measured outdoor temperature parameters is obtained through fitting calculations, and its expression is T 1、n =f1(T n ); S255, respectively retrieve the temperature parameter sets of other temperature detection points, and repeat the above calculation to obtain the relationship functions f1, f2, ..., f of all temperature detection points. m .

[0029] The same method as step S254 is used to generate corresponding relationship functions f2, ..., f3 for each of the remaining temperature detection points. m , all relationship functions are grouped together as the first prediction model; In the process of constructing the above-mentioned first prediction model, the present application uses the actual measurement parameters that have been collected, which can effectively ensure the accuracy of the first prediction model; Secondly, without any human intervention (such as artificial ventilation), the environment of the breeding shed is relatively closed and relatively stable for a certain period of time. At this time, due to the isolation and shielding of the breeding shed, there is always a certain difference between the temperature of the poultry breeding shed and the external room temperature, and in general, the outdoor temperature and the indoor temperature are always positively correlated, that is, the increase in outdoor temperature will lead to a synchronous increase in indoor temperature; Based on the above principle, the present application can visualize the influence of the breeding shed through a functional relationship through fitting calculation of historical parameters, thereby establishing a stable conversion relationship between indoor temperature and outdoor temperature; Furthermore, during the collection of the measured indoor temperature parameters and the measured outdoor temperature parameters, the interval between the sampling time and the prediction time should not exceed 12 hours. Climate change requires a certain amount of time. The interval time limit can effectively reduce the difference between the climate environment in the prediction time period and the climate environment at the actual sampling time, that is, ensure the correlation and continuity between the climate environments in the two time periods, thereby avoiding the impact of drastic changes in the climate environment on the prediction results, which is conducive to improving the accuracy of the prediction results.

[0030] S3. Obtaining temperature prediction parameters disclosed in the weather forecast, wherein the temperature prediction parameters refer to temperature prediction parameters of the administrative area where the poultry breeding shed is located within the prediction time period; The relevant temperature forecast parameters of the designated meteorological website are obtained through the weather information capture module. Preferably, the above-mentioned designated meteorological website generally refers to the official website of the local meteorological station in the administrative area where the breeding shed is located or other official websites of meteorological stations with high prediction accuracy and similar data.

[0031] S4, predicting the outdoor temperature according to the air temperature prediction parameter to obtain the outdoor temperature prediction parameter; S41, retrieve the historical outdoor temperature measured parameters in a certain period of time in the past and the historical temperature prediction parameters published by the weather forecast; It should be pointed out that when retrieving the historical outdoor temperature measured parameters and the historical temperature prediction parameters published by the weather forecast, it is necessary to pay attention to the sampling time. The best time to obtain historical data is the parameters of the day before the prediction time or the previous several hours. Since the changes in climate parameters are continuous, shortening the time interval between the acquisition of historical data and the forecast period can ensure the relevance of the data and effectively eliminate the impact of changes in influencing factors such as geographical conditions; S42, constructing an outdoor temperature prediction model according to the historical outdoor temperature measured parameters and the historical temperature prediction parameters; S421, numbering each historical outdoor temperature measured parameter and the historical temperature prediction parameter according to the order of sampling time; According to the order of sampling time, each historical outdoor temperature measured parameter is numbered and the corresponding parameter set {T1, T2, ..., T j}, j represents the sampling time sequence number; At the same time, each historical temperature prediction parameter is numbered to obtain the corresponding parameter set {T'1, T'2, ..., T' j}, j represents the sampling time sequence number; It should be pointed out that the time periods represented by the historical outdoor temperature measured parameters and the historical temperature prediction parameters must be the same, and the times of the historical outdoor temperature measured parameters and the historical temperature prediction parameters with the same number must be the same, that is, the times of T1 and T'1 must be completely consistent to ensure the relevance of the data.

[0032] S422, classifying each historical outdoor temperature measured parameter and each historical temperature prediction parameter according to the number to obtain a historical temperature parameter set; The historical outdoor temperature measured parameters and historical temperature prediction parameters with the same number are grouped into the same array, and then each array is grouped into the same set to obtain the historical temperature parameter set {(T'1, T1), (T'2, T2), ..., (T' j , T j )}; S423, constructing a second coordinate system; Reference Figure 5 , construct a second coordinate system, wherein the horizontal axis of the second coordinate system represents the historical temperature prediction parameters, and the vertical axis represents the historical outdoor temperature measured parameters; S424, marking a plurality of second calculation points in the second coordinate system according to the historical temperature parameter set; Retrieve the historical temperature parameter set {(T'1, T1), (T'2, T2), ..., (T' j , T j )}; Mark a number of second calculation points on the second coordinate system according to the historical temperature parameter set; S425. Perform fitting calculation according to each of the second calculation points to obtain an outdoor temperature prediction model.

[0033] A computer program is used to fit the above discrete second calculation points, and the relationship function between the historical outdoor temperature measured parameters and the historical temperature prediction parameters is obtained through fitting calculation, and its expression is T j =f '(T' j ); The above relationship function is the outdoor temperature prediction model; Since the temperature prediction parameters disclosed in the weather forecast are the average temperature in a certain area, and since the chicken shed is located at a certain point in the area, and due to the influence of factors such as the geographical environment (such as the obstruction of hillsides and woodlands), there are certain differences between the temperature prediction parameters disclosed in the weather forecast and the outdoor temperature parameters of the area where the breeding shed is located. The above differences are affected by the comprehensive influence of the above factors. However, considering that the change cycle of factors such as the geographical environment is relatively long, the above influencing factors can be visualized through functional relationships under the premise that the time interval is effectively controlled; S43, importing the air temperature prediction parameters within the prediction time period into the outdoor temperature prediction model to obtain the outdoor temperature prediction parameters for different time periods.

[0034] According to the set forecast time period (such as tomorrow or several hours in the future), obtain the temperature forecast parameters published by the meteorological station within the time period; The obtained temperature prediction parameters are imported into the outdoor temperature prediction model, and the outdoor temperature prediction parameters {T''1, T''2, ..., T'' i}, i represents the sampling time sequence number; S5. Outputting the indoor temperature prediction result within the prediction time period according to the outdoor temperature prediction parameters and the first prediction model.

[0035] S51, obtaining any outdoor temperature prediction parameter; The outdoor temperature prediction parameters {T''1, T''2, ..., T'' calculated in step S43 are obtained. i}, i represents the sampling time sequence number; S52, inputting any outdoor temperature prediction parameter into the first prediction model respectively, to obtain the indoor temperature prediction parameter of each temperature detection point at a certain moment within the prediction time period; For example, the outdoor prediction parameter T''1 is retrieved and substituted into all the relationship functions of the first prediction model to calculate the indoor temperature prediction parameter {T'' at each temperature detection point at a certain moment in the prediction time period. 1、1 、T'' 2、1 ,...,T'' m、1}, where m represents the temperature detection point number; S53, repeat the steps to obtain any of the outdoor temperature prediction parameters, and obtain all indoor temperature prediction parameters of each temperature detection point within the prediction time period; Repeat step S52 to obtain the indoor temperature prediction parameters of each temperature detection point at all sampling times within the prediction time period; {T'' 1、1 、T'' 2、1 ,...,T'' m、1}, {T'' 1、2 、T'' 2、2 ,...,T'' m、2}, ..., {T'' 1、n 、T'' 2、1 ,...,T'' m、n}; S54, generating a temperature change curve of each temperature detection point and a temperature change surface diagram of the poultry breeding shed at each sampling time according to the sequence of sampling time and the indoor temperature prediction parameter; Retrieve all indoor temperature prediction parameters obtained in step S53; The indoor temperature prediction parameter classification trajectory of the same temperature detection point at all times is obtained to obtain the temperature set of each temperature detection point, such as {T'' 1、1 、T'' 1、2 ,...,T'' 1、n}; A standard coordinate system is established, the horizontal axis of which represents the time number or time, and the vertical axis represents the indoor temperature prediction parameters. The temperature change curve of a certain point in the prediction time period can be obtained by importing the parameters in the above temperature set into the standard coordinate system; like Figure 6 As shown, it exemplarily shows the temperature change curve of the temperature detection point numbered 1. From the slope of the above temperature change curve, the temperature increase speed of different points can be quickly judged to the corresponding time point, so that the farmer can turn on the ventilation equipment accordingly; Furthermore, the indoor temperature prediction parameters at different points at the same detection time can be grouped into the same set, such as {T'' 1、1 、T'' 2、1 ,...,T'' m、1}, which represents the indoor temperature prediction parameters of all points at the first prediction moment; In the above set, the indoor coordinates (x, y) of each temperature detection point are imported respectively to construct the coordinate set of the temperature change surface graph, such as {(T'' 1、1 , x1, y1), (T'' 2、1 , x1, y1), ..., (T'' m、1 、x m ,y m )}; Establish a three-dimensional coordinate, where the X-axis represents the horizontal coordinate of the temperature detection point, the Y-axis represents the vertical coordinate of the temperature detection point, and the Z-axis represents the indoor temperature prediction parameter; According to the parameters of the above coordinate set, points can be marked in the three-dimensional coordinates, and a surface diagram of the temperature change of the poultry breeding shed at different times can be generated by fitting calculation. This application simulates and generates the following according to the size of the actual poultry breeding shed: Figure 7 A temperature variation surface diagram is shown; The above surface graph can quickly and accurately identify the distribution of the highest temperature point, the lowest temperature point, the high temperature area and the low temperature area in the entire poultry breeding shed, and can also identify the area size of the high temperature and low temperature areas; At the same time, combining multiple temperature surface change graphs can more intuitively observe the temperature change trend in the entire poultry breeding shed, so as to carry out timely and effective intervention in certain temperature abnormal areas to ensure the stability of the temperature in the entire poultry breeding shed.

[0036] S55, integrating the temperature change curve of each temperature detection point and the temperature change surface diagram of the poultry breeding shed at each sampling time as an indoor temperature prediction result output.

[0037] Compared with the prior art, the present application visualizes the difference between the indoor temperature and the outdoor temperature caused by the isolation and shielding of the poultry breeding shed through the first prediction model, and at the same time establishes a stable connection between the outdoor temperature and the temperature of the weather forecast through the outdoor temperature prediction model, and finally converts the temperature prediction parameters released by the meteorological station into the prediction results of the indoor temperature, so as to know the temperature changes in the poultry breeding shed in advance; on the one hand, it can help farmers take timely and accurate intervention measures in extreme weather conditions, avoid the further deterioration of the temperature in the breeding shed, and ensure the stability of the temperature in the breeding shed; On the other hand, the above-mentioned temperature changes can timely discover the blind spots and difficult areas of cooling or warming in the breeding shed, making it convenient for breeders to make targeted improvements and repairs to the structure of the breeding shed, thereby improving the efficiency of intervention in temperature changes in the breeding shed.

[0038] Finally, through the indoor temperature prediction results, the present application can also clearly know the temperature fluctuations in different areas of the breeding shed, so as to more scientifically divide different functional areas in the breeding shed, match the corresponding areas for poultry breeding, and also provide basic theoretical data for the breeding of poultry of different age groups, which is conducive to improving the breeding efficiency of poultry.

[0039] The above descriptions are only optional embodiments of the present disclosure, and are not intended to limit the patent scope of the present disclosure. All equivalent structural transformations made using the contents of the present disclosure and the drawings under the inventive concept of the present disclosure, or direct / indirect applications in other related technical fields are included in the patent protection scope of the present disclosure.

Claims

1. A poultry breeding environment monitoring system, characterized in that: include; A first temperature detection module (1) is used to obtain actual measured parameters of indoor temperature in a poultry breeding shed; A second temperature detection module (2) is used to obtain actual measured parameters of outdoor temperature outside the poultry breeding shed; A weather information acquisition module (3) is used to obtain temperature prediction parameters of the administrative area where the poultry breeding shed is located within the prediction time period; The control terminal (4) is used to obtain the indoor temperature measured parameters, the outdoor temperature measured parameters and the air temperature change parameters, and output the indoor temperature prediction result according to the indoor temperature measured parameters, the outdoor temperature measured parameters and the air temperature change parameters.

2. A poultry breeding environment monitoring system according to claim 1, characterized in that: The first temperature detection module (1) comprises a plurality of temperature sensors, each of which is disposed at a temperature detection point in the poultry breeding shed.

3. A poultry breeding environment monitoring system according to claim 1, characterized in that: The control terminal (4) comprises a data acquisition module (401), a model construction module (402) and a parameter calculation module (403); the data acquisition module (401) is used to obtain indoor temperature measured parameters, outdoor temperature measured parameters and air temperature prediction parameters; the model construction module (402) is used to construct a first prediction model and an outdoor temperature prediction model, and the parameter calculation module (403) is used to calculate indoor temperature prediction results.

4. A poultry breeding environment monitoring system according to claim 1, characterized in that: The environmental monitoring system further comprises a handheld terminal (5), the handheld terminal (5) being communicatively connected to the control terminal (4), and the handheld terminal (5) being used to receive the indoor temperature prediction parameter.

5. A monitoring method based on the poultry breeding environment monitoring system according to any one of claims 1 to 4, characterized in that: The following steps are involved: Obtaining the measured indoor and outdoor temperature parameters of the poultry breeding shed; Constructing a first prediction model according to the indoor temperature measured parameters and the outdoor temperature measured parameters; Obtaining temperature prediction parameters disclosed in the weather forecast, wherein the temperature prediction parameters refer to temperature prediction parameters of the administrative area where the poultry breeding shed is located within the prediction time period; Predicting the outdoor temperature according to the air temperature prediction parameter to obtain the outdoor temperature prediction parameter; The indoor temperature prediction result within the prediction time period is output according to the outdoor temperature prediction parameter and the first prediction model.

6. The monitoring method according to claim 5, characterized in that: The step of constructing a first prediction model according to the indoor temperature measured parameters and the outdoor temperature measured parameters comprises the following steps: Retrieve the measured parameters of indoor temperature and outdoor temperature; According to the order of sampling time and temperature detection point, each indoor temperature measured parameter is numbered, and the numbered indoor temperature measured parameter T is obtained. 1、1 , T 1、2 , ..., T 2、1 , T 2、1 , ..., T m、n ; Where m represents the temperature detection point number, and n represents the sampling time sequence number; According to the order of sampling time, each outdoor temperature measured parameter is numbered, and the numbered outdoor temperature measured parameters T1, T2, ..., T n , where n represents the sampling time sequence number; Generate a temperature parameter set for each temperature detection point according to the sampling time sequence number; According to each of the temperature parameter sets, the relationship functions f1, f2, ..., f3 between the indoor temperature measured parameters and the outdoor temperature measured parameters are respectively generated for each temperature detection point by fitting. m , each of the relationship functions f1, f2, ..., f m The results are summarized and used as the first prediction model.

7. The monitoring method according to claim 6, characterized in that: According to each of the temperature parameter sets, the relationship functions f1, f2, ..., f3, f4, f6, f7, f8, f9, f10, f11, f12, f13, f14, f15, f16, f17, f18, f19, f20, f21, f22, f30, f10, f11, f23, f12, f13, f14, f15, f24, f16, f17, f18, f25, f19, f26, f27, f30, f19, f28, f31, f40, f19, f29, f32, f33, f41, f29, f34, f42, f43, f44, f45, f46, f47, f50, f51, f52, f53, f54, f65, f76, f m , including the following steps: Constructing a first coordinate system, wherein the horizontal axis of the first coordinate system represents the measured outdoor temperature parameter, and the vertical axis represents the measured indoor temperature parameter; Retrieve the temperature parameter set of the temperature detection point numbered 1 {(T1, T 1、1 )、(T2、T 1、2 )、...、(T n , T 1、n )}; According to the temperature parameter set {(T1, T 1、1 )、(T2、T 1、2 )、...、(T n , T 1、n )} calibrating a plurality of first calculation points in the first coordinate system; According to the fitting calculation of each of the first calculation points, the relationship function of the temperature detection point is obtained, and its expression is T 1、n =f1(T n ); Retrieve the temperature parameter sets of other temperature detection points respectively, and repeat the above calculation to obtain the relationship functions f1, f2, ..., f of all temperature detection points. m .

8. The monitoring method according to claim 5, characterized in that: The step of predicting the outdoor temperature measured parameter according to the air temperature prediction parameter to obtain the outdoor temperature prediction parameter comprises the following steps: Retrieve the historical outdoor temperature measured parameters in a certain period of time in the past and the historical temperature forecast parameters published by the weather forecast; Constructing an outdoor temperature prediction model based on the historical outdoor temperature measured parameters and the historical temperature prediction parameters; The air temperature prediction parameters within the prediction time period are imported into the outdoor temperature prediction model to obtain the outdoor temperature prediction parameters for different time periods.

9. The monitoring method according to claim 8, characterized in that: The outdoor temperature prediction model is constructed according to the historical outdoor temperature measured parameters and the historical temperature prediction parameters, comprising the following steps: Numbering each historical outdoor temperature measured parameter and the historical temperature prediction parameter respectively according to the order of sampling time; Classify each historical outdoor temperature measured parameter and each historical temperature prediction parameter according to the number to obtain a historical temperature parameter set; Construct a second coordinate system; Marking a plurality of second calculation points in the second coordinate system according to the historical temperature parameter set; A fitting calculation is performed according to each of the second calculation points to obtain an outdoor temperature prediction model.

10. The monitoring method according to claim 5, characterized in that: The method of outputting the indoor temperature prediction result within the prediction time period according to the outdoor temperature prediction parameter and the first prediction model comprises the following steps: Obtain any of the outdoor temperature prediction parameters; Inputting any outdoor temperature prediction parameter into the first prediction model respectively to obtain the indoor temperature prediction parameter of each temperature detection point at a certain moment within the prediction time period; Repeat the steps to obtain any of the outdoor temperature prediction parameters, and obtain all indoor temperature prediction parameters of each temperature detection point within the prediction time period; Generate a temperature change curve of each temperature detection point and a temperature change surface diagram of the poultry breeding shed at each sampling time according to the sequence of sampling time and the indoor temperature prediction parameter; The temperature change curve of each temperature detection point and the temperature change surface diagram of the poultry breeding shed at each sampling time are integrated as the indoor temperature prediction result output.

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