Labview Virtual Instrument Based on Intelligent Management and Monitoring of Microclimate in Precision Pig Farming with Wireless Sensor Network

Gaazi, Belma; Mechatronics, Ruse; Daskalov, Plamen; Georgieva, Tsvetelina; Kirilova, Eleonora

doi:10.12720/jcm.13.9.530-534

Cited by 6 publications

(4 citation statements)

References 19 publications

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“…The research in this paper is mainly to establish an engine fault diagnosis system based on BP neural network technology and virtual instrumentation, but there must still be many shortcomings in this paper. (1) The research on the mechanism of fault diagnosis in this paper is still very superficial, and the selection of testing means, instruments and computing methods is not perfect; (2) The subsequent burst of the development of the network integration and remote consultation of the diagnosis system is still lacking in due outlook and practical steps.…”

Section: Discussionmentioning

confidence: 98%

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Engine Fault Diagnosis Based on Virtual Instrument Technology

2020

KME

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With the development of automobile technology, the function of engine detection device is more and more obvious. The introduction of virtual instrument can build a general testing system with simple hardware. The purpose of this paper is to study engine fault diagnosis with virtual instrument technology. In view of the fact that the electronic and integrated level of automobile products is constantly improving, the basic theory and technical methods of fault self-diagnosis of automobile electronic injection system are studied. BP neural network theory and virtual instrument technology are comprehensively applied to the field of engine fault self-diagnosis. By analyzing the characteristic parameters containing rich engine status information, fault characteristics are extracted, A general platform of engine intelligent fault diagnosis based on virtual instrument technology is proposed and designed. The experimental results show that the system improves the diagnosis speed and accuracy.

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Section: Discussionmentioning

confidence: 98%

“…In the traditional electric vehicle motor fault diagnosis system, the offline diagnosis is not obvious for the implicit fault diagnosis which has no obvious impact, resulting in high delay of the system [2]. For this reason, a virtual instrumentation-based electric vehicle motor fault diagnosis system has been designed.…”

Section: Introductionmentioning

confidence: 99%

Engine Fault Diagnosis Based on Virtual Instrument Technology

2020

KME

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“…The microclimate study based on the laws of mass and energy conservation is studied in the work [6], the influence of microbial and bacterial flora on the vital activity of pigs is described in the work [7]. The article [8] is devoted to simulation models' development of microclimate control. This work is devoted to the development of a microclimate control system based on the use of the Omron controller [9,10].…”

Section: Introductionmentioning

confidence: 99%

Project development of a “smart” premise system for pig keeping

et al. 2021

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The economic efficiency of intensive animal husbandry on an industrial basis depends on the rational animal keeping, which is largely determined by the availability of optimal microclimate in the premises. Whatever breed and pedigree qualities animals possess, they are unable to maintain health and display their potential hereditary productive abilities without creating the necessary microclimate conditions. In the period of 2018-2020, a survey of 11 farms in Perm Krai was carried out, where respiratory, digestive, skin diseases were found, in some cases stress was observed in animals. The cost of heating livestock premises is generally much lower than losses from murrain, reduced productivity, and feed overruns. Physical properties of the air environment are unstable factors and are subject to large fluctuations. To optimize the microclimate in livestock premises, an algorithm program for computers was developed, which will allow to create a system that provides optimal conditions for keeping and maintenance of animals and improve life safety on livestock farms. In this regard, to improve the conditions of calves and cows’ keeping, a project for managing microclimate parameters on farms in the conditions of Perm Krai has been developed. Microclimate management system was developed on the basis of: the Order of the Ministry of Agriculture of the Russian Federation dated October 21, 2000 No. 621 “On approval of Veterinary rules for the maintenance of pigs for the purpose of their reproduction, cultivation and sales.” Monitoring is based on automated analysis and regulation of microclimate parameters' indicators. The software and hardware implementation were done on Omron PLC.

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“…In this way, the production cost can be reduced and high-quality agricultural products can be produced High productivity. The model proposed by gaazi has some difficulties in practical application, and its feasibility is not high [2]. At present, many developed countries and developing countries are using the intelligent farm monitoring system to check the farm remote.…”

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confidence: 99%

Artificial Intelligence Technology in Intelligent Farm

2020

IJMC

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With the development of science and technology, China's aquaculture industry is developing in the direction of intelligence, and artificial intelligence technology has been widely used in aquaculture. In the farm, the monitoring of livestock environment is very important. This paper studies the application of artificial intelligence technology in the monitoring of livestock environment in intelligent farm, in order to elaborate the application and prospect of artificial intelligence technology in intelligent farm. In this paper, ZigBee technology and wireless Internet of things technology are used to realize the intelligent livestock environment monitoring system in the farm. Carbon dioxide monitoring, temperature and humidity monitoring and light monitoring are set up to monitor the livestock environment, and a pig house is selected to test the function realization. In addition, the performance of the system is also tested. The test results show that when the number of nodes is 1, the actual response time of the system is 0.38s, the expected value is 0.4s, when the number of nodes is 2, the actual response time of the system is 0.42s, the expected value is 0.45s, when the number of nodes is 9, the actual response time of the system is 0.76s, the expected value is 0.85s, when the number of nodes is 10, the actual response time of the system is 0.78s, the expected value is 0.9s. The results show that with the increase of the number of nodes, the response time of the system increases correspondingly, but it does not exceed the expected value, that is to say, the system in this paper has a great advantage in response time.technology, China's aquaculture is developing in the direction of highly intelligent. Intelligent aquaculture has the characteristics of high value, high precision, low artificial, low energy consumption and so on. In the process of livestock growth, the environment is very important and difficult to control. If the traditional manual control method is used, the workload is large and easy to produce large data errors, which will greatly affect the production efficiency of the farm. The establishment of an automatic environmental monitoring system plays an important role in promoting the intellectualization of aquaculture.At present, the aquaculture industry requires effective real-time control of environmental parameters such as humidity, temperature and light. Cornish proposed a set of intelligent agricultural environment monitoring system database based on ZigBee wireless communication technology, embedded system and network. The system can monitor the humidity, temperature and light intensity of the farm in real time, and store the corresponding data in the database, so that the future query and data playback system can also set the upper and lower limit values of various parameters to realize the staff When alarming, the staff can adjust the environmental parameters through the field or remote control to ensure the normal state of the farm. Cornish's research can provide a cost-effective and st...

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Labview Virtual Instrument Based on Intelligent Management and Monitoring of Microclimate in Precision Pig Farming with Wireless Sensor Network

Cited by 6 publications

References 19 publications

Engine Fault Diagnosis Based on Virtual Instrument Technology

Engine Fault Diagnosis Based on Virtual Instrument Technology

Project development of a “smart” premise system for pig keeping

Artificial Intelligence Technology in Intelligent Farm

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