Livestock breeding information comprehensive management system and method based on Internet of Things

Abstract

The invention discloses a livestock breeding information integrated management system and method based on the Internet of Things, and belongs to the technical field of livestock breeding, and the system comprises a data collection module, a data processing module, a model construction module, a model optimization module, a prediction analysis module and an integrated management module. The system solves the problems that in the prior art, real-time monitoring and comprehensive management cannot be carried out on livestock breeding data, the management efficiency and breeding benefits of animal husbandry are reduced, and intelligent and informatization breeding of the animal husbandry cannot be achieved. According to the invention, the livestock breeding feature sensing data and the livestock breeding information prediction analysis result are stored and visually displayed, the livestock breeding information is intelligently and comprehensively managed based on the livestock breeding information comprehensive management scheme, and the livestock breeding data can be monitored and comprehensively managed in real time; management efficiency and breeding benefits of animal husbandry can be improved, breeding cost is reduced, and intelligent and informatization breeding of animal husbandry can be effectively achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of animal husbandry, and in particular to an integrated animal husbandry information management system and method based on the Internet of Things. Background Art

[0002] With the rapid development of modern animal husbandry, traditional animal husbandry methods can no longer meet the needs of modern animal husbandry.

[0003] The Chinese patent with publication number CN101221649A discloses an electronic monitoring system for animal husbandry, including an animal husbandry subsystem and an animal husbandry monitoring platform subsystem; the animal husbandry subsystem includes an animal husbandry information collection unit and an animal husbandry database, and the animal husbandry electronic monitoring platform subsystem includes a monitoring platform database and a PC terminal; the animal husbandry subsystem and the animal husbandry monitoring platform subsystem are connected via the animal husbandry database and the monitoring platform database, the animal husbandry information collection unit is connected to the animal husbandry database, and the user uses the PC terminal to access the monitoring platform database through a web browser; the government can monitor animal husbandry enterprises, pig slaughterhouses, meat wholesale enterprises, and retail stalls, and the public can inquire about the source of pork purchased, process control, and meat prices through the platform. However, the patent has the following defects: The existing system cannot conduct real-time monitoring and comprehensive management of livestock breeding data, which reduces the management efficiency and breeding benefits of animal husbandry, increases breeding costs, and cannot effectively realize intelligent and information-based breeding of animal husbandry. Summary of the invention

[0004] The purpose of the present invention is to provide an integrated livestock breeding information management system and method based on the Internet of Things, which can monitor and comprehensively manage livestock breeding data in real time, improve the management efficiency and breeding benefits of animal husbandry, reduce breeding costs, and effectively realize intelligent and information-based breeding in animal husbandry, thereby solving the problems raised in the above-mentioned background technology.

[0005] To achieve the above object, the present invention provides the following technical solutions: The integrated livestock breeding information management system based on the Internet of Things includes: Data collection module, used to collect real-time perception data of livestock breeding based on the Internet of Things; Data processing module, used to process the real-time perception data of animal husbandry based on the Internet of Things; Model building module, used to build a convolutional neural network model suitable for comprehensive management of livestock breeding information; Model optimization module, used to optimize the convolutional neural network model and determine the best livestock breeding information prediction and analysis model; Prediction and analysis module, used to perform prediction and analysis on livestock breeding characteristic perception data; The comprehensive management module is used for intelligent and comprehensive management of livestock breeding information.

[0006] Preferably, the data acquisition module includes: A location collection unit, used to collect location information of livestock in animal husbandry farms; Based on the smart tags implanted or worn by livestock in the livestock farms, the location of the livestock is located and tracked to determine the location information of the livestock in the livestock farms; An environmental collection unit is used to collect environmental information about livestock in animal husbandry farms; Based on the sensors equipped in the livestock farm, the temperature, humidity, light and carbon dioxide concentration of the livestock farm are monitored to determine the environmental information of the livestock farm; A vital sign collection unit is used to collect vital sign information of livestock in animal husbandry farms; Based on the smart devices implanted or worn by livestock in livestock farms, the body temperature, heart rate, and respiratory rate of livestock are monitored to determine the vital signs of livestock in livestock farms; A feeding collection unit is used to collect feeding information of livestock in animal husbandry farms; Based on the sensors equipped in the livestock farms, the feed and drinking water consumed by the livestock in the livestock farms are monitored to determine the livestock feeding information in the livestock farms; Among them, based on the livestock location information, livestock farm environmental information, livestock farm livestock sign information and livestock farm livestock feeding information, the real-time perception data of livestock farming based on the Internet of Things is determined.

[0007] Preferably, the data processing module includes: A data retrieval unit, used to retrieve the real-time perception data of animal husbandry based on the Internet of Things; Obtain real-time perception data of livestock breeding based on the Internet of Things; Based on the sequential retrieval method, the real-time perception data of livestock breeding based on the Internet of Things is retrieved; Conduct consistency checks on real-time sensing data of livestock farming based on the Internet of Things; According to the reasonable value range and mutual relationship of each parameter in the real-time perception data of animal husbandry, check whether the real-time perception data of animal husbandry meets the requirements; Remove inconsistent data that is beyond the normal range, logically unreasonable or contradictory in real-time perception data of animal husbandry; Process invalid and missing values ​​of real-time perception data of livestock breeding based on the Internet of Things; Remove invalid and missing data in the real-time perception data of animal husbandry that are of no value to the comprehensive management of animal husbandry information; Identify the real-time perception data of livestock breeding that is valuable for the comprehensive management of livestock breeding information; A data sorting unit, used to sort the retrieved real-time perception data of animal husbandry; Acquire real-time perception data of livestock breeding that is valuable for comprehensive management of livestock breeding information after retrieval; Based on the internal sorting method, the real-time perception data of livestock breeding that is valuable for the comprehensive management of livestock breeding information is sorted; Determine the real-time perception data of animal husbandry with ranking order; A feature extraction unit, used for extracting features from the sorted real-time perception data of animal husbandry; Acquire real-time perception data of animal husbandry and breeding that is sorted and arranged in order; Extract features from real-time perception data of livestock breeding with arrangement order; Determine the IoT-based livestock breeding characteristic perception data.

[0008] Preferably, the model building module includes: A data collection unit for collecting historical animal husbandry perception data based on the Internet of Things; According to the needs of comprehensive management of livestock breeding information based on the Internet of Things, a large amount of historical livestock breeding perception data based on the Internet of Things that can reflect the characteristics of comprehensive management of livestock breeding information is collected; A data division unit, used for dividing the historical perception data of animal husbandry; Obtain historical perception data of livestock breeding based on the Internet of Things; Divide the historical perception data of animal husbandry based on the Internet of Things; Determine the training set and test set; Model training unit, used to train the convolutional neural network model framework; According to the needs of comprehensive management of livestock breeding information based on the Internet of Things, a convolutional neural network model framework suitable for comprehensive management of livestock breeding information is selected; Based on the training set, the selected convolutional neural network model framework suitable for the integrated management of livestock breeding information is trained; A convolutional neural network model suitable for the integrated management of livestock breeding information was determined.

[0009] Preferably, the model optimization module includes: A performance testing unit, used to perform performance testing on a convolutional neural network model suitable for integrated management of livestock breeding information; Obtain a convolutional neural network model suitable for integrated management of livestock breeding information; Based on the test set, the performance of the convolutional neural network model suitable for the integrated management of livestock breeding information was tested; Determine the performance test results based on the convolutional neural network model; An optimization and adjustment unit, used for optimizing and adjusting a convolutional neural network model suitable for comprehensive management of livestock breeding information; Obtain performance test results based on convolutional neural network models; Conduct in-depth mining and relevant analysis on the performance test results based on the convolutional neural network model; Determine the optimization adjustment plan based on the convolutional neural network model; Based on the optimization adjustment scheme, the convolutional neural network model suitable for the comprehensive management of livestock breeding information is optimized and adjusted; Determine the best predictive analysis model for livestock breeding information.

[0010] Preferably, the prediction analysis module includes: A data extraction unit, used for extracting livestock breeding characteristic perception data based on the Internet of Things; According to the needs of comprehensive management of livestock breeding information based on the Internet of Things, the characteristic perception data of livestock breeding based on the Internet of Things is extracted; A prediction and analysis unit, used to perform prediction and analysis on the livestock breeding characteristic perception data based on the Internet of Things; Obtain the best livestock breeding information prediction and analysis model; Input the extracted livestock breeding characteristic perception data based on the Internet of Things into the optimal livestock breeding information prediction and analysis model; Based on the best livestock breeding information prediction and analysis model, predictive analysis is performed on the livestock breeding characteristic perception data based on the Internet of Things; Determine the prediction and analysis results of livestock breeding information based on the Internet of Things; A storage and display unit, used to store and display livestock breeding characteristic perception data and livestock breeding information prediction and analysis results; Obtain livestock breeding characteristic perception data and livestock breeding information prediction and analysis results; Storing livestock breeding characteristic perception data and livestock breeding information prediction and analysis results; Livestock breeding characteristic perception data and livestock breeding information prediction and analysis results are displayed to users in real time in a visual form, allowing users to view and manage livestock breeding information anytime and anywhere, providing users with a scientific and comprehensive management decision-making basis.

[0011] Preferably, the comprehensive management module includes: A strategy formulation unit, which is used to formulate an integrated livestock breeding information management plan based on the Internet of Things; Obtain prediction and analysis results of livestock breeding information based on the Internet of Things; Conduct in-depth mining and relevant analysis on the prediction and analysis results of livestock breeding information based on the Internet of Things; Determine a comprehensive management plan for livestock breeding information based on the Internet of Things; Comprehensive management unit, used for intelligent and comprehensive management of livestock breeding information; Obtain comprehensive livestock breeding information management solutions based on the Internet of Things; Intelligent and comprehensive management of livestock breeding information is carried out based on the comprehensive management plan of livestock breeding information.

[0012] Preferably, it also includes: Take the animal husbandry information of each animal as the management object and obtain the information file corresponding to the animal husbandry information; Determine the file type of the information file and select a classification basis for the livestock breeding information for each animal based on the file type; Determine the classification unit of each classification standard, classify the livestock breeding information according to the classification unit, and determine the display file object of the livestock breeding information of each animal based on the benchmark attributes of the classification standard; The display document object determines the query parameters of the animal husbandry information of each animal, and determines the query credentials according to the privacy information of the query parameters; Determine the loading step parameters of the animal husbandry information of each animal according to the query voucher, and determine the current resource status information of the animal husbandry information storage and loading according to the loading step parameters; Calculate resource status change information based on current resource status information and preset resource status information stored and loaded with animal husbandry information of each animal; Determine the resource status matrix information for storing and loading the animal husbandry information of each animal based on the resource status change information; Adjust the system resource ratio of storing and loading animal husbandry information for each animal according to the resource status matrix information.

[0013] Preferably, the comprehensive management module, in the process of intelligent comprehensive management of animal husbandry information, also includes: Get the entry information in the livestock breeding information; Determine the category attribute corresponding to each item information according to the information statistical parameters of the item information, and determine the benefit index of each item information according to the non-category attribute; Obtain data statistics for each item of information, and determine a volume index for each item of information based on the data statistics; Calculate the volume benefit ratio of each item information according to the benefit index and volume index of the item information; The value of each item of information is calculated based on its volume-benefit ratio: ;

[0014] Among them, is represented by the value of the i-th item information, is represented by the volume benefit ratio of the i-th item information, is represented by the length of the experience information in the i-th item information, is represented by the length of the management information in the i-th item information, is represented by the total information length of the i-th item information, and e is represented by a natural constant with a value of 2.72, is represented by the item attribute value index of the i-th item information; Determine the reference value of each item according to the value of the item, and sort all item information according to the reference value of each item; According to the sorting result, the first item information in the first quantity interval from front to back is set with a high-value data label, the second item information in the second quantity interval is set with a medium-value data label, and the third item information in the third quantity interval is set with a low-value data label.

[0015] According to another aspect of the present invention, a livestock breeding information integrated management method based on the Internet of Things is provided, which is implemented based on the above livestock breeding information integrated management system and includes the following steps: S1: Collecting real-time perception data of animal husbandry based on the Internet of Things, processing the real-time perception data of animal husbandry, and determining the characteristic perception data of animal husbandry based on the Internet of Things; S2: Construct a convolutional neural network model for comprehensive management of livestock breeding information, optimize the convolutional neural network model, and determine the best livestock breeding information prediction and analysis model; S3: Based on the best livestock breeding information prediction and analysis model, predict and analyze the livestock breeding characteristic perception data based on the Internet of Things, determine the livestock breeding information prediction and analysis results based on the Internet of Things, and store and visualize the livestock breeding characteristic perception data and the livestock breeding information prediction and analysis results; S4: Develop a comprehensive management plan for livestock breeding information based on the Internet of Things, and conduct intelligent comprehensive management of livestock breeding information based on the comprehensive management plan for livestock breeding information.

[0016] Compared with the prior art, the present invention has the following beneficial effects: The present invention collects real-time animal husbandry perception data based on the Internet of Things, processes the real-time animal husbandry perception data, determines animal husbandry characteristic perception data based on the Internet of Things, constructs a convolutional neural network model for comprehensive management of animal husbandry information, optimizes the convolutional neural network model, determines the best animal husbandry information prediction and analysis model, predicts and analyzes the animal husbandry characteristic perception data based on the Internet of Things based on the best animal husbandry information prediction and analysis model, determines the animal husbandry information prediction and analysis results based on the Internet of Things, stores and visualizes the animal husbandry characteristic perception data and the animal husbandry information prediction and analysis results, formulates a comprehensive management plan for animal husbandry information based on the Internet of Things, performs intelligent comprehensive management of animal husbandry information based on the comprehensive management plan for animal husbandry information, can monitor and comprehensively manage animal husbandry data in real time, can improve the management efficiency and breeding benefits of animal husbandry, reduce breeding costs, and can effectively realize intelligent and information-based breeding in animal husbandry. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 This is a module diagram of the integrated livestock breeding information management system based on the Internet of Things of the present invention; Figure 2 This is a structural diagram of the integrated livestock breeding information management system based on the Internet of Things of the present invention; Figure 3 The present invention is a flowchart of the method for comprehensive management of livestock breeding information based on the Internet of Things. DETAILED DESCRIPTION

[0018] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0019] In order to solve the existing problems of being unable to conduct real-time monitoring and comprehensive management of animal husbandry data, reducing the management efficiency and breeding benefits of animal husbandry, increasing breeding costs, and being unable to effectively realize intelligent and information-based animal husbandry, please refer to Figure 1-Figure 3 , this embodiment provides the following technical solutions: The integrated livestock breeding information management system based on the Internet of Things includes: data collection module, data processing module, model building module, model optimization module, prediction analysis module and integrated management module.

[0020] It should be noted that through the interactive communication between the data acquisition module, data processing module, model building module, model optimization module, prediction analysis module and comprehensive management module, real-time monitoring and comprehensive management of animal husbandry data can be carried out, the management efficiency and breeding benefits of animal husbandry can be improved, breeding costs can be reduced, and intelligent and information-based breeding of animal husbandry can be effectively realized.

[0021] Among them, the data acquisition module is used to collect real-time perception data of animal husbandry based on the Internet of Things; In this embodiment, the data acquisition module includes: A location collection unit, used to collect location information of livestock in animal husbandry farms; Based on the smart tags implanted or worn by livestock in the livestock farms, the location of the livestock is located and tracked to determine the location information of the livestock in the livestock farms; It should be noted that when abnormal vital signs of livestock in livestock farms are monitored, the location of the livestock can be located and tracked, and the location of the livestock can be quickly determined. At the same time, users can view the location of the livestock in real time, which greatly improves the efficiency of livestock management.

[0022] An environmental collection unit is used to collect environmental information about livestock in animal husbandry farms; Based on the sensors equipped in the livestock farm, the temperature, humidity, light and carbon dioxide concentration of the livestock farm are monitored to determine the environmental information of the livestock farm; It should be noted that when an abnormal environment in a livestock farm is monitored, the livestock farm environment can be managed in a timely manner, and skylights, water curtains, fans, etc. can be automatically controlled to optimize the livestock farm environment, create a suitable growth environment, and improve the growth efficiency of livestock. At the same time, environmental monitoring can also help prevent and reduce the spread of diseases, reduce breeding costs, and improve breeding benefits.

[0023] A vital sign collection unit is used to collect vital sign information of livestock in animal husbandry farms; Based on the smart devices implanted or worn by livestock in livestock farms, the body temperature, heart rate, and respiratory rate of livestock are monitored to determine the vital signs of livestock in livestock farms; It should be noted that when abnormal signs of livestock in livestock farms are monitored, the livestock in the livestock farms can be managed in a timely manner, the health status of the livestock can be understood in real time, and timely measures can be taken to intervene and avoid the spread of the disease.

[0024] A feeding collection unit is used to collect feeding information of livestock in animal husbandry farms; Based on the sensors equipped in the livestock farms, the feed and drinking water consumed by the livestock in the livestock farms are monitored to determine the livestock feeding information in the livestock farms; It should be noted that when abnormal livestock feeding is monitored in livestock farms, the livestock feeding in the livestock farms can be managed in a timely manner to optimize the feeding situation and ensure rapid growth of the livestock.

[0025] Among them, based on the livestock location information, livestock farm environmental information, livestock farm livestock sign information and livestock farm livestock feeding information, the real-time perception data of livestock farming based on the Internet of Things is determined.

[0026] Among them, the data processing module is used to process the real-time perception data of animal husbandry based on the Internet of Things; In this embodiment, the data processing module includes: A data retrieval unit, used to retrieve the real-time perception data of animal husbandry based on the Internet of Things; Obtain real-time perception data of livestock breeding based on the Internet of Things; Based on the sequential retrieval method, the real-time perception data of livestock breeding based on the Internet of Things is retrieved; Conduct consistency checks on real-time sensing data of livestock farming based on the Internet of Things; According to the reasonable value range and mutual relationship of each parameter in the real-time perception data of animal husbandry, check whether the real-time perception data of animal husbandry meets the requirements; Remove inconsistent data that is beyond the normal range, logically unreasonable or contradictory in real-time perception data of animal husbandry; Process invalid and missing values ​​of real-time perception data of livestock breeding based on the Internet of Things; Remove invalid and missing data in the real-time perception data of animal husbandry that are of no value to the comprehensive management of animal husbandry information; Identify the real-time perception data of livestock breeding that is valuable for the comprehensive management of livestock breeding information; A data sorting unit, used to sort the retrieved real-time perception data of animal husbandry; Acquire real-time perception data of livestock breeding that is valuable for comprehensive management of livestock breeding information after retrieval; Based on the internal sorting method, the real-time perception data of livestock breeding that is valuable for the comprehensive management of livestock breeding information is sorted; Determine the real-time perception data of animal husbandry with ranking order; A feature extraction unit, used for extracting features from the sorted real-time perception data of animal husbandry; Acquire real-time perception data of animal husbandry and breeding that is sorted and arranged in order; Extract features from real-time perception data of livestock breeding with arrangement order; Determine the IoT-based livestock breeding characteristic perception data.

[0027] Among them, the model building module is used to build a convolutional neural network model suitable for the comprehensive management of livestock breeding information; In this embodiment, the model building module includes: A data collection unit for collecting historical animal husbandry perception data based on the Internet of Things; According to the needs of comprehensive management of livestock breeding information based on the Internet of Things, a large amount of historical livestock breeding perception data based on the Internet of Things that can reflect the characteristics of comprehensive management of livestock breeding information is collected; A data division unit, used for dividing the historical perception data of animal husbandry; Obtain historical perception data of livestock breeding based on the Internet of Things; Divide the historical perception data of animal husbandry based on the Internet of Things; Determine the training set and test set; Model training unit, used to train the convolutional neural network model framework; According to the needs of comprehensive management of livestock breeding information based on the Internet of Things, a convolutional neural network model framework suitable for comprehensive management of livestock breeding information is selected; Based on the training set, the selected convolutional neural network model framework suitable for the integrated management of livestock breeding information is trained; A convolutional neural network model suitable for the integrated management of livestock breeding information was determined.

[0028] Among them, the model optimization module is used to optimize the convolutional neural network model and determine the best livestock breeding information prediction and analysis model; In this embodiment, the model optimization module includes: A performance testing unit, used to perform performance testing on a convolutional neural network model suitable for integrated management of livestock breeding information; Obtain a convolutional neural network model suitable for integrated management of livestock breeding information; Based on the test set, the performance of the convolutional neural network model suitable for the integrated management of livestock breeding information was tested; Determine the performance test results based on the convolutional neural network model; An optimization and adjustment unit, used for optimizing and adjusting a convolutional neural network model suitable for comprehensive management of livestock breeding information; Obtain performance test results based on convolutional neural network models; Conduct in-depth mining and relevant analysis on the performance test results based on the convolutional neural network model; Determine the optimization adjustment plan based on the convolutional neural network model; Based on the optimization adjustment scheme, the convolutional neural network model suitable for the comprehensive management of livestock breeding information is optimized and adjusted; Determine the best predictive analysis model for livestock breeding information.

[0029] Among them, the prediction and analysis module is used to perform prediction and analysis on the livestock breeding characteristic perception data; In this embodiment, the prediction analysis module includes: A data extraction unit, used for extracting livestock breeding characteristic perception data based on the Internet of Things; According to the needs of comprehensive management of livestock breeding information based on the Internet of Things, the characteristic perception data of livestock breeding based on the Internet of Things is extracted; A prediction and analysis unit, used to perform prediction and analysis on the livestock breeding characteristic perception data based on the Internet of Things; Obtain the best livestock breeding information prediction and analysis model; Input the extracted livestock breeding characteristic perception data based on the Internet of Things into the optimal livestock breeding information prediction and analysis model; Based on the best livestock breeding information prediction and analysis model, predictive analysis is performed on the livestock breeding characteristic perception data based on the Internet of Things; Determine the prediction and analysis results of livestock breeding information based on the Internet of Things; A storage and display unit, used to store and display livestock breeding characteristic perception data and livestock breeding information prediction and analysis results; Obtain livestock breeding characteristic perception data and livestock breeding information prediction and analysis results; Storing livestock breeding characteristic perception data and livestock breeding information prediction and analysis results; Livestock breeding characteristic perception data and livestock breeding information prediction and analysis results are displayed to users in real time in a visual form, allowing users to view and manage livestock breeding information anytime and anywhere, providing users with a scientific and comprehensive management decision-making basis.

[0030] Among them, the comprehensive management module is used for intelligent and comprehensive management of livestock breeding information.

[0031] In this embodiment, the comprehensive management module includes: A strategy formulation unit, which is used to formulate an integrated livestock breeding information management plan based on the Internet of Things; Obtain prediction and analysis results of livestock breeding information based on the Internet of Things; Conduct in-depth mining and relevant analysis on the prediction and analysis results of livestock breeding information based on the Internet of Things; Determine a comprehensive management plan for livestock breeding information based on the Internet of Things; Comprehensive management unit, used for intelligent and comprehensive management of livestock breeding information; Obtain comprehensive livestock breeding information management solutions based on the Internet of Things; Intelligent and comprehensive management of livestock breeding information is carried out based on the comprehensive management plan of livestock breeding information.

[0032] In this embodiment, it also includes: Take the animal husbandry information of each animal as the management object and obtain the information file corresponding to the animal husbandry information; Determine the file type of the information file and select a classification basis for the livestock breeding information for each animal based on the file type; Determine the classification unit of each classification standard, classify the livestock breeding information according to the classification unit, and determine the display file object of the livestock breeding information of each animal based on the benchmark attributes of the classification standard; The display document object determines the query parameters of the animal husbandry information of each animal, and determines the query credentials according to the privacy information of the query parameters; Determine the loading step parameters of the animal husbandry information of each animal according to the query voucher, and determine the current resource status information of the animal husbandry information storage and loading according to the loading step parameters; Calculate resource status change information based on current resource status information and preset resource status information stored and loaded with animal husbandry information of each animal; Determine the resource status matrix information for storing and loading the animal husbandry information of each animal based on the resource status change information; Adjust the system resource ratio of storing and loading animal husbandry information for each animal according to the resource status matrix information.

[0033] The beneficial effects of the above technical solution are: by adjusting the system resource ratio for storing and loading livestock breeding information of each animal, it can be ensured that the livestock breeding information can be stably stored and loaded, laying a stability condition for subsequent data query, and improving stability, work efficiency and practicality.

[0034] In this embodiment, the comprehensive management module, in the process of intelligent comprehensive management of animal husbandry information, also includes: Get the entry information in the livestock breeding information; Determine the category attribute corresponding to each item information according to the information statistical parameters of the item information, and determine the benefit index of each item information according to the non-category attribute; Obtain data statistics for each item of information, and determine a volume index for each item of information based on the data statistics; Calculate the volume benefit ratio of each item information according to the benefit index and volume index of the item information; The value of each item of information is calculated based on its volume-benefit ratio: ;

[0035] Among them, is represented by the value of the i-th item information, is represented by the volume benefit ratio of the i-th item information, is represented by the length of the experience information in the i-th item information, is represented by the length of the management information in the i-th item information, is represented by the total information length of the i-th item information, and e is represented by a natural constant with a value of 2.72, is represented by the item attribute value index of the i-th item information; Determine the reference value of each item according to the value of the item, and sort all item information according to the reference value of each item; According to the sorting result, the first item information in the first quantity interval from front to back is set with a high-value data label, the second item information in the second quantity interval is set with a medium-value data label, and the third item information in the third quantity interval is set with a low-value data label.

[0036] The beneficial effects of the above technical solution are: by determining the value of the entry information according to the information distribution length and entry attributes of each entry information and then sorting and labeling it, the reference value of each entry information can be accurately evaluated, and then a direct reference label can be provided to the staff to save the staff's reference time and improve reference efficiency, thereby improving the staff's experience and practicality.

[0037] In order to better demonstrate the livestock breeding information integrated management process based on the Internet of Things, this embodiment now provides a livestock breeding information integrated management method based on the Internet of Things, which is implemented based on the above-mentioned livestock breeding information integrated management system and includes the following steps: S1: Collecting real-time perception data of animal husbandry based on the Internet of Things, processing the real-time perception data of animal husbandry, and determining the characteristic perception data of animal husbandry based on the Internet of Things; S2: Construct a convolutional neural network model for comprehensive management of livestock breeding information, optimize the convolutional neural network model, and determine the best livestock breeding information prediction and analysis model; S3: Based on the best livestock breeding information prediction and analysis model, predict and analyze the livestock breeding characteristic perception data based on the Internet of Things, determine the livestock breeding information prediction and analysis results based on the Internet of Things, and store and visualize the livestock breeding characteristic perception data and the livestock breeding information prediction and analysis results; S4: Develop a comprehensive management plan for livestock breeding information based on the Internet of Things, and conduct intelligent comprehensive management of livestock breeding information based on the comprehensive management plan for livestock breeding information.

[0038] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0039] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. The integrated livestock breeding information management system based on the Internet of Things is characterized by: include: Data collection module, used to collect real-time perception data of livestock breeding based on the Internet of Things; Data processing module, used to process the real-time perception data of animal husbandry based on the Internet of Things; Model building module, used to build a convolutional neural network model suitable for comprehensive management of livestock breeding information; Model optimization module, used to optimize the convolutional neural network model and determine the best livestock breeding information prediction and analysis model; Prediction and analysis module, used to perform prediction and analysis on livestock breeding characteristic perception data; The comprehensive management module is used for intelligent and comprehensive management of livestock breeding information.

2. The livestock breeding information integrated management system based on the Internet of Things according to claim 1 is characterized in that: The data acquisition module comprises: A location collection unit, used to collect location information of livestock in animal husbandry farms; Based on the smart tags implanted or worn by livestock in the livestock farms, the location of the livestock is located and tracked to determine the location information of the livestock in the livestock farms; An environmental collection unit is used to collect environmental information about livestock in animal husbandry farms; Based on the sensors equipped in the livestock farm, the temperature, humidity, light and carbon dioxide concentration of the livestock farm are monitored to determine the environmental information of the livestock farm; A vital sign collection unit is used to collect vital sign information of livestock in animal husbandry farms; Based on the smart devices implanted or worn by livestock in livestock farms, the body temperature, heart rate, and respiratory rate of livestock are monitored to determine the vital signs of livestock in livestock farms; A feeding collection unit is used to collect feeding information of livestock in animal husbandry farms; Based on the sensors equipped in the livestock farms, the feed and drinking water consumed by the livestock in the livestock farms are monitored to determine the livestock feeding information in the livestock farms; Among them, based on the livestock location information, livestock farm environmental information, livestock farm livestock sign information and livestock farm livestock feeding information, the real-time perception data of livestock farming based on the Internet of Things is determined.

3. The livestock breeding information integrated management system based on the Internet of Things according to claim 2 is characterized in that: The data processing module comprises: A data retrieval unit, used to retrieve the real-time perception data of animal husbandry based on the Internet of Things; Obtain real-time perception data of livestock breeding based on the Internet of Things; Based on the sequential retrieval method, the real-time perception data of livestock breeding based on the Internet of Things is retrieved; Conduct consistency checks on real-time sensing data of livestock farming based on the Internet of Things; According to the reasonable value range and mutual relationship of each parameter in the real-time perception data of animal husbandry, check whether the real-time perception data of animal husbandry meets the requirements; Remove inconsistent data that is beyond the normal range, logically unreasonable or contradictory in real-time perception data of animal husbandry; Process invalid and missing values ​​of real-time perception data of livestock breeding based on the Internet of Things; Remove invalid and missing data in the real-time perception data of animal husbandry that are of no value to the comprehensive management of animal husbandry information; Identify the real-time perception data of livestock breeding that is valuable for the comprehensive management of livestock breeding information; A data sorting unit, used to sort the retrieved real-time perception data of animal husbandry; Acquire real-time perception data of livestock breeding that is valuable for comprehensive management of livestock breeding information after retrieval; Based on the internal sorting method, the real-time perception data of livestock breeding that is valuable for the comprehensive management of livestock breeding information is sorted; Determine the real-time perception data of animal husbandry with ranking order; A feature extraction unit, used for extracting features from the sorted real-time perception data of animal husbandry; Acquire real-time perception data of animal husbandry and breeding that is sorted and arranged in order; Extract features from real-time perception data of livestock breeding with arrangement order; Determine the IoT-based livestock breeding characteristic perception data.

4. The integrated livestock breeding information management system based on the Internet of Things according to claim 3 is characterized in that: The model building module includes: A data collection unit for collecting historical animal husbandry perception data based on the Internet of Things; According to the needs of comprehensive management of livestock breeding information based on the Internet of Things, a large amount of historical livestock breeding perception data based on the Internet of Things that can reflect the characteristics of comprehensive management of livestock breeding information is collected; A data division unit, used for dividing the historical perception data of animal husbandry; Obtain historical perception data of livestock breeding based on the Internet of Things; Divide the historical perception data of animal husbandry based on the Internet of Things; Determine the training set and test set; Model training unit, used to train the convolutional neural network model framework; According to the needs of comprehensive management of livestock breeding information based on the Internet of Things, a convolutional neural network model framework suitable for comprehensive management of livestock breeding information is selected; Based on the training set, the selected convolutional neural network model framework suitable for the integrated management of livestock breeding information is trained; A convolutional neural network model suitable for the integrated management of livestock breeding information was determined.

5. The livestock breeding information integrated management system based on the Internet of Things according to claim 4 is characterized in that: The model optimization module includes: A performance testing unit, used to perform performance testing on a convolutional neural network model suitable for integrated management of livestock breeding information; Obtain a convolutional neural network model suitable for integrated management of livestock breeding information; Based on the test set, the performance of the convolutional neural network model suitable for the integrated management of livestock breeding information was tested; Determine the performance test results based on the convolutional neural network model; An optimization and adjustment unit, used for optimizing and adjusting a convolutional neural network model suitable for comprehensive management of livestock breeding information; Obtain performance test results based on convolutional neural network models; Conduct in-depth mining and relevant analysis on the performance test results based on the convolutional neural network model; Determine the optimization adjustment plan based on the convolutional neural network model; Based on the optimization adjustment scheme, the convolutional neural network model suitable for the comprehensive management of livestock breeding information is optimized and adjusted; Determine the best predictive analysis model for livestock breeding information.

6. The integrated livestock breeding information management system based on the Internet of Things according to claim 5 is characterized in that: The prediction analysis module includes: A data extraction unit, used for extracting livestock breeding characteristic perception data based on the Internet of Things; According to the needs of comprehensive management of livestock breeding information based on the Internet of Things, the characteristic perception data of livestock breeding based on the Internet of Things is extracted; A prediction and analysis unit, used to perform prediction and analysis on the livestock breeding characteristic perception data based on the Internet of Things; Obtain the best livestock breeding information prediction and analysis model; Input the extracted livestock breeding characteristic perception data based on the Internet of Things into the optimal livestock breeding information prediction and analysis model; Based on the best livestock breeding information prediction and analysis model, predictive analysis is performed on the livestock breeding characteristic perception data based on the Internet of Things; Determine the prediction and analysis results of livestock breeding information based on the Internet of Things; A storage and display unit, used to store and display livestock breeding characteristic perception data and livestock breeding information prediction and analysis results; Obtain livestock breeding characteristic perception data and livestock breeding information prediction and analysis results; Storing livestock breeding characteristic perception data and livestock breeding information prediction and analysis results; Livestock breeding characteristic perception data and livestock breeding information prediction and analysis results are displayed to users in real time in a visual form, allowing users to view and manage livestock breeding information anytime and anywhere, providing users with a scientific and comprehensive management decision-making basis.

7. The livestock breeding information integrated management system based on the Internet of Things according to claim 6 is characterized in that: The comprehensive management module includes: A strategy formulation unit, which is used to formulate a comprehensive management plan for livestock breeding information based on the Internet of Things; Obtain prediction and analysis results of livestock breeding information based on the Internet of Things; Conduct in-depth mining and relevant analysis on the prediction and analysis results of livestock breeding information based on the Internet of Things; Determine a comprehensive management plan for livestock breeding information based on the Internet of Things; Comprehensive management unit, used for intelligent and comprehensive management of livestock breeding information; Obtain comprehensive livestock breeding information management solutions based on the Internet of Things; Intelligent and comprehensive management of livestock breeding information is carried out based on the comprehensive management plan of livestock breeding information.

8. The integrated livestock breeding information management system based on the Internet of Things according to claim 1 is characterized in that: Also includes: Take the animal husbandry information of each animal as the management object and obtain the information file corresponding to the animal husbandry information; Determine the file type of the information file and select a classification basis for the livestock breeding information for each animal based on the file type; Determine the classification unit of each classification standard, classify the livestock breeding information according to the classification unit, and determine the display file object of the livestock breeding information of each animal based on the standard attribute of the classification standard; The display document object determines the query parameters of the animal husbandry information of each animal, and determines the query credentials according to the privacy information of the query parameters; Determine the loading step parameters of the animal husbandry information of each animal according to the query voucher, and determine the current resource status information of the animal husbandry information storage and loading according to the loading step parameters; Calculate resource status change information based on current resource status information and preset resource status information stored and loaded with animal husbandry information of each animal; Determine the resource status matrix information for storing and loading the animal husbandry information of each animal based on the resource status change information; Adjust the system resource ratio of storing and loading animal husbandry information for each animal according to the resource status matrix information.

9. The integrated livestock breeding information management system based on the Internet of Things according to claim 1 is characterized in that: In the process of intelligent integrated management of livestock breeding information, the integrated management module also includes: Get the entry information in the livestock breeding information; Determine the category attribute corresponding to each item information according to the information statistical parameters of the item information, and determine the benefit index of each item information according to the non-category attribute; Obtain data statistics for each item of information, and determine a volume index for each item of information based on the data statistics; Calculate the volume benefit ratio of each item information according to the benefit index and volume index of the item information; The value of each item of information is calculated based on the volume-benefit ratio of the information: ； Among them, is represented by the value of the i-th item information, is represented by the volume benefit ratio of the i-th item information, is represented by the length of the experience information in the i-th item information, is represented by the length of the management information in the i-th item information, is represented by the total information length of the i-th item information, and e is represented by a natural constant with a value of 2.72, is represented by the item attribute value index of the i-th item information; Determine the reference value of each item according to the value of the item, and sort all item information according to the reference value of each item; According to the sorting result, the first item information in the first quantity interval from front to back is set with a high-value data label, the second item information in the second quantity interval is set with a medium-value data label, and the third item information in the third quantity interval is set with a low-value data label.

10. The method for comprehensive management of livestock breeding information based on the Internet of Things is implemented based on the comprehensive management system for livestock breeding information based on the Internet of Things as claimed in claim 7, characterized in that: The steps include: S1: Collecting real-time perception data of animal husbandry based on the Internet of Things, processing the real-time perception data of animal husbandry, and determining the characteristic perception data of animal husbandry based on the Internet of Things; S2: Construct a convolutional neural network model for comprehensive management of livestock breeding information, optimize the convolutional neural network model, and determine the best livestock breeding information prediction and analysis model; S3: Based on the best livestock breeding information prediction and analysis model, predict and analyze the livestock breeding characteristic perception data based on the Internet of Things, determine the livestock breeding information prediction and analysis results based on the Internet of Things, and store and visualize the livestock breeding characteristic perception data and the livestock breeding information prediction and analysis results; S4: Develop a comprehensive management plan for livestock breeding information based on the Internet of Things, and conduct intelligent comprehensive management of livestock breeding information based on the comprehensive management plan for livestock breeding information.

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