CN110673483A - Intelligent livestock and poultry breeding system and method based on mobile Internet of things technology - Google Patents
Intelligent livestock and poultry breeding system and method based on mobile Internet of things technology Download PDFInfo
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- CN110673483A CN110673483A CN201910968524.2A CN201910968524A CN110673483A CN 110673483 A CN110673483 A CN 110673483A CN 201910968524 A CN201910968524 A CN 201910968524A CN 110673483 A CN110673483 A CN 110673483A
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
- G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
- G05B13/04—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators
- G05B13/042—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators in which a parameter or coefficient is automatically adjusted to optimise the performance
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B19/00—Alarms responsive to two or more different undesired or abnormal conditions, e.g. burglary and fire, abnormal temperature and abnormal rate of flow
Abstract
The poultry house controller is respectively in communication connection with each sensor, the heating equipment, the ventilation and cooling equipment and the control terminal and is used for transmitting acquired environment control data to the control terminal in real time; the mobile intelligent terminal is in communication connection with the control terminal and is used for inputting various production data; the control terminal obtains an optimized culture control strategy by utilizing an optimized model according to the collected environmental control data, production data and SAP data; the method optimizes the traditional breeding mode, is based on big data analysis, and greatly improves the breeding level of livestock and poultry.
Description
Technical Field
The disclosure relates to the technical field of intelligent breeding, in particular to an intelligent livestock breeding system and method based on a mobile internet of things technology.
Background
The statements in this section merely provide background information related to the present disclosure and may not necessarily constitute prior art.
At present, the number of informationized products for breeding poultry and broiler chicken and incubation in the market is small, and in order to achieve the purposes of digitalizing, standardizing and analyzing the industry and improving the breeding management level, the breeding competitiveness needs to be improved, and the breeding risk is reduced.
The inventor of the present disclosure finds that, when the current cultivation data is stored on a paper table or in Excel, the data storage is scattered, and the data invalidation is low, so that comprehensive support cannot be provided for data analysis; and when the environment control data is abnormal, a breeder cannot be informed in time, and the breeding risk is high.
Disclosure of Invention
In order to solve the defects of the prior art, the system and the method for intelligently breeding livestock and poultry based on the mobile Internet of things technology are provided, the traditional breeding mode is optimized, the big data analysis is based on, and the livestock and poultry breeding level is greatly improved.
In order to achieve the purpose, the following technical scheme is adopted in the disclosure:
the first aspect of the disclosure provides an intelligent livestock and poultry breeding system based on a mobile internet of things technology.
An intelligent livestock and poultry breeding system based on a mobile Internet of things technology comprises a poultry house controller, a plurality of sensors, heating equipment, ventilation and cooling equipment, a control terminal and a plurality of mobile intelligent terminals, wherein the sensors, the heating equipment, the ventilation and cooling equipment, the control terminal and the mobile intelligent terminals are arranged in the poultry house;
the poultry house controller is respectively in communication connection with each sensor, the heating equipment, the ventilation and cooling equipment and the control terminal and is used for transmitting the acquired environmental control data to the control terminal in real time; the mobile intelligent terminal is in communication connection with the control terminal and is used for inputting various production data; the control terminal shares data with the SAP system;
and the control terminal obtains an optimized culture control strategy by utilizing an optimized model according to the acquired environmental control data, the acquired production data and the acquired SAP data.
As possible implementation manners, the intelligent livestock and poultry breeding system further comprises a remote control platform in communication connection with the control terminal, wherein the remote control platform is used for receiving the collected environment control data, and displaying the environment control data on a display terminal of the remote control platform after a chart is formed by day-age comparison and sequencing;
the mobile intelligent terminal is also used for displaying environmental control data, production data and SAP data, and receiving an alarm instruction and an optimized cultivation control instruction sent by the control terminal.
By way of further limitation, the various environmental control data, production data and SAP data on the mobile intelligent terminal are shown in a form of a chart.
As some possible implementation manners, the control terminal further comprises a display module for displaying the acquired environmental control data, the production data and the SAP data in real time;
as some possible implementations, the sensors include at least temperature, humidity, ammonia, carbon dioxide, negative pressure, and wind speed sensors;
as some possible implementation manners, the aeration and cooling device at least comprises a fan, a water curtain, a small window, a waterline and a stockline;
as some possible implementations, the SAP data includes at least material master data, production orders, production charges, livestock in-out time, and livestock in-out weighing data.
As some possible implementation modes, the control terminal calls the method of the SAP standard RFC interface function to share the data of the SAP system through a JAVA loading SAPJCO3JAR packet.
As some possible implementation manners, the method for establishing the optimization model specifically includes:
(4-1) screening a standard field and a standard span which have excellent marketing performance in the month according to the survival rate, the material ratio, the European value and the medicine charge number;
and (4-2) acquiring standard field and standard multi-span culture data, and establishing an optimized model according to a BP neural network by using the acquired environment control data, production data and SAP data.
As a further limitation, in the step (4-1):
screening a standard span and a standard field according to the survival rate, the material ratio, the European value and the drug cost parameter in the current month, and deriving production data of the standard span and the standard field;
further, the control range of the survival rate A in the current month is as follows: a is more than or equal to 94% and less than or equal to 96%;
further, the control range of the material ratio B is as follows: b is more than or equal to 1.50 and less than or equal to 1.60;
further, the control range of the ohm value C is as follows: b is more than or equal to 350 and less than or equal to 400;
further, the control range of the drug cost D is as follows: d is more than or equal to 0.5 yuan/D and less than or equal to 0.7 yuan/D.
As a further limitation, in the step (4-2):
selecting the entry date, the exit date, the outside temperature, the inside humidity, the day and night temperature difference, the maximum temperature difference, the refrigeration temperature, the heating temperature, the negative pressure and the ventilation data indexes of a certain standard field or standard field in the current month to establish a cultivation parameter data curve of each age of the day one by one, and calculating cultivation parameter model data of the current month according to the cultivation parameter data of all the standard fields and the standard fields in each age of the day and SAP data;
further, the temperature in the house comprises a maximum temperature, a minimum temperature and an average temperature of each day;
further, the humidity in the house includes the maximum humidity, the minimum humidity and the average humidity every day.
As some possible implementation manners, each environmental control data threshold is stored in the control terminal, and when the acquired real-time environmental control data does not meet the threshold requirement, the control terminal sends alarm information to the mobile intelligent terminal and the remote control platform.
The second aspect of the disclosure provides a livestock and poultry intelligent breeding method based on a mobile internet of things technology, and the livestock and poultry intelligent breeding system based on the mobile internet of things technology is utilized to collect production data, environmental control data and SAP data of each month or each year in real time, carry out big data analysis by utilizing a BP neural network or a logistic regression model or a time series model, and continuously carry out model optimization to obtain an optimal breeding control strategy.
Compared with the prior art, the beneficial effect of this disclosure is:
1. according to the method, the optimized breeding control strategy is obtained through the optimized model by utilizing the environment control data and the SAP data, the traditional breeding mode is optimized, the big data analysis is based, and the livestock breeding level is greatly improved.
2. The control terminal realizes the butt joint with the SAP system, gets through the data between the two systems, and realizes data sharing, thereby greatly improving the control capacity of the livestock and poultry breeding process.
3. According to the system, the remote control platform and the mobile intelligent terminals are in communication connection with the control terminal, real-time remote monitoring and control can be achieved, real-time input instant production data of each feeder can be achieved, and meanwhile each feeder can receive the optimized control strategy in real time, so that the breeding level is greatly improved.
4. The various environment control data and SAP data on the intelligent equipment are displayed in a chart form, so that data basis is made for analysis and decision measurement, and an optimal culture model can be searched according to the environment control data and the SAP data in the chart form for realizing an optimal culture control strategy.
5. The method screens a standard field and a standard span with excellent marketing performance in the current month according to the survival rate, the material ratio and the European value parameters, collects the culture data of the standard field and the standard span, establishes an optimized model according to the BP neural network by utilizing the collected culture data and SAP data, and obtains the optimized model by training according to the actual best culture data, so that the method has stronger adaptability and can effectively carry out the most reasonable control on the corresponding livestock and poultry breeding house.
6. According to the control terminal, various environment control data thresholds are stored, when the collected real-time environment control data do not meet the threshold requirement, the control terminal sends alarm information to the mobile intelligent terminal and the remote control platform, so that the constant of a breeding environment can be ensured, and livestock and poultry caused by severe changes of the breeding environment are prevented from being ill or dead in batches.
Drawings
Fig. 1 is a schematic structural diagram of an intelligent livestock and poultry breeding system based on a mobile internet of things technology in embodiment 1 of the disclosure.
Fig. 2 is the environmental control data collected in real time in embodiment 1 of the present disclosure.
Fig. 3 is a line diagram of environment control data displayed by the mobile intelligent terminal in embodiment 1 of the present disclosure.
Fig. 4 is a production data line graph displayed by the mobile intelligent terminal in embodiment 1 of the present disclosure.
Detailed Description
It should be noted that the following detailed description is exemplary and is intended to provide further explanation of the disclosure. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this disclosure belongs.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments according to the present disclosure. As used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, and it should be understood that when the terms "comprises" and/or "comprising" are used in this specification, they specify the presence of stated features, steps, operations, devices, components, and/or combinations thereof, unless the context clearly indicates otherwise.
Example 1:
as shown in fig. 1 to 4, an embodiment 1 of the present disclosure provides an intelligent livestock and poultry breeding system based on a mobile internet of things technology, which includes a poultry house controller, a plurality of sensors arranged in a poultry house, a heating device, a ventilation and cooling device, a control terminal, and a plurality of mobile intelligent terminals, wherein the poultry house controller is in communication connection with each sensor, the heating device, the ventilation and cooling device, and the control terminal, and is configured to transmit acquired environment control data to the control terminal in real time; the mobile intelligent terminal is in communication connection with the control terminal and is used for inputting various production data; and the control terminal obtains an optimized culture control strategy by utilizing an optimized model according to the acquired environmental control data, the acquired production data and the acquired SAP data.
The standardized project of breed adopt to remove APP nail as data acquisition, show platform, the rear end provides the service processing mode through the servitization, in order to improve the popularization nature of system, breed standardized 2.0 version and pass through SaaS control and realize.
The poultry house controller is preferably an AC20000 poultry house controller, and the AC20000 poultry house controller is in communication connection with the control terminal through an RS232 communication card and a MUX3 information acquisition box.
The intelligent livestock and poultry breeding system also comprises a remote control platform in communication connection with the control terminal, wherein the environment control data in the control terminal is collected by a data collector, is transmitted through a network and is gathered to a database server, and the database data is accessed by a data collection website, is compared and sequenced in the day and is displayed on a spliced screen of a breeding remote control center;
the mobile intelligent terminal is also used for displaying environmental control data, production data and SAP data, and receiving an alarm instruction and an optimized cultivation control instruction sent by the control terminal.
And displaying various environmental control data, production data and SAP data on the mobile intelligent terminal in a chart form.
The control terminal also comprises a display module for displaying the acquired environmental control data (such as the parameters of temperature, humidity, pressure, water quantity, material quantity, ventilation level and the like in the poultry house), the production data and the SAP data in real time;
the sensors at least comprise temperature, humidity, ammonia gas, carbon dioxide, negative pressure and wind speed sensors;
the aeration cooling equipment at least comprises a fan, a water curtain, a small window, a waterline and a stockline;
the SAP data at least comprises material main data, production orders, production feeding, livestock and poultry entering and exiting column time and livestock and poultry entering and exiting column weighing data.
The control terminal shares data with the SAP system, and the control terminal shares data of the SAP system through a method of loading an SAPJCO3JAR package by JAVA and calling an SAP standard RFC interface function.
The establishment method of the optimization model specifically comprises the following steps:
(4-1) screening a standard field and a standard span with excellent marketing performance in the same month according to the survival rate, the material ratio, the European value and the drug charge;
and (4-2) acquiring standard field and standard multi-span culture data, and establishing an optimized model according to a BP neural network by using the acquired environment control data, production data and SAP data.
In the step (4-1):
screening a standard span and a standard field according to the survival rate, the material ratio, the European value and the drug cost parameter in the current month, and deriving production data of the standard span and the standard field;
further, the control range of the survival rate A in the current month is as follows: a is more than or equal to 94% and less than or equal to 96%;
further, the control range of the material ratio B is as follows: b is more than or equal to 1.50 and less than or equal to 1.60;
further, the control range of the ohm value C is as follows: b is more than or equal to 350 and less than or equal to 400;
further, the control range of the drug cost D is as follows: d is more than or equal to 0.5 yuan/D and less than or equal to 0.7 yuan/D.
In the step (4-2):
selecting the entry date, the exit date, the outside temperature, the inside humidity, the day and night temperature difference, the maximum temperature difference, the refrigeration temperature, the heating temperature, the negative pressure and the ventilation data indexes of a certain standard field or standard field in the current month to establish a cultivation parameter data curve of each age of the day one by one, and calculating cultivation parameter model data of the current month according to the cultivation parameter data of all the standard fields and the standard fields in each age of the day and SAP data;
further, the temperature in the house comprises a maximum temperature, a minimum temperature and an average temperature of each day;
further, the humidity in the house includes the maximum humidity, the minimum humidity and the average humidity every day.
And when the acquired real-time environmental control data do not meet the threshold requirement, the control terminal sends alarm information to the mobile intelligent terminal and the remote control platform.
And collecting production data, environmental control data and SAP data of each month or each year in real time, carrying out big data analysis by using a BP neural network or a logistic regression model or a time sequence model, and continuously carrying out model optimization to obtain an optimal culture control strategy.
The optimization model is not limited to the above algorithm model described in this embodiment, and for those skilled in the art, other mature algorithm training models may be selected as needed to obtain the optimized cultivation control strategy by using the data processing method described in this embodiment, and meanwhile, each algorithm model described in this embodiment has a model in the prior art, and the present disclosure does not relate to improvement of a specific algorithm structure.
The above description is only a preferred embodiment of the present disclosure and is not intended to limit the present disclosure, and various modifications and changes may be made to the present disclosure by those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present disclosure should be included in the protection scope of the present disclosure.
Claims (10)
1. An intelligent livestock and poultry breeding system based on a mobile Internet of things technology is characterized by comprising a poultry house controller, a plurality of sensors, heating equipment, ventilation and cooling equipment, a control terminal and a plurality of mobile intelligent terminals, wherein the sensors, the heating equipment, the ventilation and cooling equipment, the control terminal and the mobile intelligent terminals are arranged in the poultry house;
the poultry house controller is respectively in communication connection with each sensor, the heating equipment, the ventilation and cooling equipment and the control terminal and is used for transmitting the acquired environmental control data to the control terminal in real time; the mobile intelligent terminal is in communication connection with the control terminal and is used for inputting various production data; the control terminal shares data with the SAP system;
and the control terminal obtains an optimized culture control strategy by utilizing an optimized model according to the acquired environmental control data, the acquired production data and the acquired SAP data.
2. The intelligent livestock breeding system based on the mobile internet of things technology as claimed in claim 1, further comprising a remote control platform in communication connection with the control terminal, wherein the remote control platform is used for receiving the collected environmental control data, and displaying the environmental control data on a display terminal of the remote control platform after a chart is formed by day-to-age comparison and sorting;
the mobile intelligent terminal is also used for displaying environmental control data, production data and SAP data, and receiving an alarm instruction and an optimized cultivation control instruction sent by the control terminal.
3. The intelligent livestock breeding system based on the mobile internet of things technology as claimed in claim 2, wherein various environmental control data, production data and SAP data on the mobile intelligent terminal are displayed in the form of a chart.
4. The intelligent livestock breeding system based on the mobile internet of things technology as claimed in claim 1, wherein the control terminal further comprises a display module for displaying the collected environmental control data, production data and SAP data in real time;
or the sensors at least comprise temperature, humidity, ammonia gas, carbon dioxide, negative pressure and wind speed sensors;
or the aeration cooling equipment at least comprises a fan, a water curtain, a small window, a waterline and a stockline;
or the SAP data at least comprises material main data, production orders, production feeding, livestock and poultry entering and exiting column time and livestock and poultry entering and exiting column weighing data.
5. The intelligent livestock breeding system based on the mobile internet of things technology of claim 1, wherein the control terminal shares data of the SAP system through a method of calling an SAP standard RFC interface function by loading a SAPJCO3JAR package through JAVA.
6. The intelligent livestock breeding system based on the mobile internet of things technology as claimed in claim 1, wherein the establishment method of the optimized model specifically comprises the following steps:
(4-1) screening a standard field and a standard span with excellent marketing performance in the same month according to the survival rate, the material ratio, the European value and the drug charge;
and (4-2) acquiring standard field and standard multi-span culture data, and establishing an optimized model according to a BP neural network by using the acquired environment control data, production data and SAP data.
7. The intelligent livestock breeding system based on the mobile internet of things technology as claimed in claim 6, wherein in the step (4-1):
screening a standard span and a standard field according to the survival rate, the material ratio, the European value and the drug cost parameter in the current month, and deriving production data of the standard span and the standard field;
further, the control range of the survival rate A in the current month is as follows: a is more than or equal to 94% and less than or equal to 96%;
further, the control range of the material ratio B is as follows: b is more than or equal to 1.50 and less than or equal to 1.60;
further, the control range of the ohm value C is as follows: b is more than or equal to 350 and less than or equal to 400;
further, the control range of the drug cost D is as follows: d is more than or equal to 0.5 yuan/D and less than or equal to 0.7 yuan/D.
8. The intelligent livestock and poultry breeding system based on the mobile internet of things technology according to claim 6, wherein in the step (4-2):
selecting the entry date, the exit date, the outside temperature, the inside humidity, the day and night temperature difference, the maximum temperature difference, the refrigeration temperature, the heating temperature, the negative pressure and the ventilation data indexes of a certain standard field or standard field in the current month to establish a cultivation parameter data curve of each age of the day one by one, and calculating cultivation parameter model data of the current month according to the cultivation parameter data of all the standard fields and the standard fields in each age of the day and SAP data;
further, the temperature in the house comprises a maximum temperature, a minimum temperature and an average temperature of each day;
further, the humidity in the house includes the maximum humidity, the minimum humidity and the average humidity every day.
9. The intelligent livestock and poultry breeding system based on the mobile Internet of things technology is characterized in that various environment control data threshold values are stored in a control terminal, and when collected real-time environment control data do not meet threshold value requirements, the control terminal sends alarm information to a mobile intelligent terminal and a remote control platform.
10. An intelligent livestock breeding method based on a mobile internet of things technology is characterized in that the intelligent livestock breeding system based on the mobile internet of things technology in any one of claims 1 to 9 is used for collecting production data, environmental control data and SAP data of each month or each year in real time, big data analysis is carried out by using a BP neural network or a logistic regression model or a time series model, model optimization is continuously carried out, and an optimal breeding control strategy is obtained.
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