Anomaly Detection of Operating Equipment in Livestock Farms Using Deep Learning Techniques

In order to establish a smart farm, many kinds of equipment are built and operated inside and outside of a pig house. Thus, the environment for livestock (limited to pigs in this paper) in the barn is properly maintained for its growth conditions. However, due to poor environments such as closed pig houses, lack of stable power supply, inexperienced livestock management, and power outages, the failure of these environment equipment is high. Thus, there are difficulties in detecting its malfunctions during equipment operation. In this paper, based on deep learning, we provide a mechanism to quickly detect anomalies of multiple equipment (environmental sensors and controllers, etc.) in each pig house at the same time. In particular, environmental factors (temperature, humidity, CO2, ventilation, radiator temperature, external temperature, etc.) to be used for learning were extracted through the analysis of data accumulated for the generation of predictive models of each equipment. In addition, the optimal recurrent neural network (RNN) environment was derived by analyzing the characteristics of the learning RNN. In this way, the accuracy of the prediction model can be improved. In this paper, the real-time input data (only in the case of temperature) was intentionally induced above the threshold, and 93% of the abnormalities were detected to determine whether the equipment was abnormal.

Studi Eksperimental Pergerakan Temperatur Radiator Terhadap Putaran Mesin (RPM) dengan Kecepatan Kipas Constant

The research aims to evaluate the engine rotation (rpm) against changes in radiator temperature. Radiator used is compact heat exchanger tube and fins type. The study was conducted using an experimental method on a BMW E.36 car with a stop state. The research scheme we use consists of radiator water reservoir tanks, water pumps, and radiators. Measuring instruments used are anemometer, thermocople, stopwatch and reader. Data retrieval is carried out at the radiator entrance temperature, radiator exit temperature and the temperature on the radiator wall that hits the fan. In this study we did variations of engine rotation (rpm) of 1000, 1500, 2000, 2500 and 3000 rpm. The results showed that in the use of fans at a speed of 6.5 m / s able to throw heat into the environment well, this proved to be obtained the highest temperature value at the 10th minute of 57.5 oC at a fan speed of 3.5 m / s. Meanwhile, in the 10th minute the lowest temperature was obtained from a speed of 6.5 m/s of 40 oC.

A Power Control Technology Adapting to Temperature Change

Power control technology of LED is proposed, which can be adaptive to the change of temperature while online. The input power of LED will be adjusted according to the current value and its change rate of LED radiator. Reducing input power can balance the decreasing of the capacity of heat dissipation caused by the rise of ambient temperature in order to keep radiator temperature in a safe range. This avoids the vicious circle of the temperature excursion of P-N Junction caused by the rise of the temperature of LED light source characteristic of negative temperature. This, in turn, avoids damage to LED at high temperature.

Ageing of Brazed Aluminium AA6xxx Alloys for Vehicle Radiators

Some aluminium alloys with Mg-Si age-hardening are used in vehicle radiators. For cost reasons they are preferably delivered in a naturally aged temper. Estimated minimum time of natural ageing between brazing and when the radiator is taken into service is 14 days. At the service temperature of 95°C, the radiator material will continue to age harden. For accelerated durability testing it is vital to use a radiator with the strength and ageing response of a service radiator. We investigated whether the full 14 days of natural ageing were needed, or if the time could be shortened. Since a vehicle is not in constant use, the radiator temperature will vary over time. We therefore compared cyclic ageing between ambient temperature and 95°C to continuous ageing at 95°C. The Sapa Heat Transfer alloys FA7870 (for headers) and FA7850 (for tubes) were subjected to different ageing times at different temperatures. Tensile and hardness were performed to assess the ageing effect. It was found that natural ageing reduced hardening during the subsequent ageing at service temperature ageing effect, an effect that was most pronounced for the first four days. There was no difference between continuous and cyclic ageing.

Heat Dissipation Design and Analysis of Large Power Inverters for Electric Drive Off-Road Mine Truck

The environment of humidity and high temperature in underground metal mines is not conducive to the heat transfer of converter on electric drive mining truck, and the drive efficiency and lifetime of the equipment are lowered. The article calculated equivalent thermal resistance of radiator, analyzed main factors affecting thermal efficiency. Finite element software was applied to simulate the radiator temperature field of different inlet directions, and then determined fixing angle of air blower which had best cooling effect.