AI Summary & Key Takeaways
AI InsightThis situation provides both reducing of the workforce and improving user comfort.
📌 3 Key Takeaways
Abstract
Today, with the Industrial 4.0 revolution, industrial applications are being designed with information technology. Substantial properties such as decision making, action taking and traceability for industrial applications are achieved with usage of information technology. Just as in all areas of industry, lighting applications are evaluated within this scope. In this study, a fault detection system is developed to find the location of faults in street lighting. A transformer center provides energy for many street lighting fittings. In some cases, many of the lighting columns are fed by a single distribution transformer. Detection of a faulty lamp in a large number of lighting fittings is often not possible, and the user is adversely affecting comfort. Generally, the authorities are aware of the situation by means of the complaints of the neighborhood residents. With the proposed algorithm given in this study, it is possible to predict which lighting fitting is faulty with the help of the current sensors placed in the transformer center. Current values of each lines connected to the transformer is evaluated in the proposed fault detection system. As it is known how many lighting columns are in each line, it can be determined by making calculations how many lighting fittings are defective on one line. Then, the proposed system calculates the equivalent resistor value and estimates location of the faulty lighting fitting. For example, 15 lighting columns fed by same line are divided into 3 groups such as 1-5, 5-10 and 10-15, and the location of the faulty lighting fitting can be estimated within a certain range (groups). This allows determining the location of the faulty lighting column within a 100-meter zone instead of within lighting columns located in hundreds of kilometers zone. In this regard, intervention to the fault is possible in a short time and with great certainty. This situation provides both reducing of the workforce and improving user comfort.