-This contributioii presents the four phases of a project aiming at the realizatioii in VLSI of a digital audio equalizer with a linear phase characteristic. Tlie first step includes the identification of tlie system requirements, based on experience arid (psycho-acoustical) literature. Secondly, the signal processing algorithms coiistitutiiig the global design of tlie equalizer are coinputer siiiiulated. Tlie third step iiicludes tlie realization of tlie equalizcr design using one or more programmable DSP's. In order to niiiiiinize tlie iiiiiiiber of DSP chips necessary for the realization, tliis step reqiiircs tlic optimization of the structure and niappirig of the algoritliin oii tlie resources of tlie DSP. The number of processor cycles is crucial iii this optiniizatioii. The purpose of tlie resulting prototype is to test and to validate in a digital audio erivironrneiit the specificatioii generated iii tlic first step. Tlie programmability of the DSP's allows for specification cliaiiges at this stage of the project. The fourth step is tlie VLSI iiiiplciiiciitatioii of tlie validated algorithm of the previous pliase. For tliis purpose the structure of tlie algorithm is optimized in order to take fill1 advantage of tlie silicoii resources. Speed and required area are tlie crucial parameters in this optiniization. The final step includes tlie testiiig of tlie coiripleted chips together with a parallel designed and realized PCB in a digital audio environment. The presentation will enipliasizc tlie algoritliinic and design considerations together with tlie results.
Advances in micro-electronics and machine learning open the door to a new method of in-line pipe inspection: small free-floating smart sensors moving in the flow, capturing critical data and enabling operators to optimize pipeline performance, detect anomalies, and flag changes in pipeline condition. The free-floating nature of these smart sensors allows for full length pipeline inspection without interrupting the operation. This makes frequent inspection possible turning it into a cost-efficient data driven solution. The alternative requires significant capital to modify the pipeline system to accommodate traditional ILI. Furthermore, traditional ILI methods are a one off costly and labor extensive measurement executed once every 5 to 10 years, where these free-floating sensors allow for high frequency, low cost measurements. Frequent inspection allows for early detection of changes in the pipeline condition such as deposit formation and metal loss as well as timely detection and localization of leaks or similar hazardous conditions. The free-floating nature, combined with the capability to detect pipeline elements such as flanges and welds, permits accurate localization without the need for external markers. An alternative to the free-floating deployment, the sensor device can also be attached to an off-the-shelf cleaning pig. This solution is especially suited for gas lines and allows for screening of the pipeline condition while cleaning the pipeline with limited extra effort from the operator. The paper will demonstrate the outcome of over ten validation projects that have been conducted during the course of 2017 using an implementation of this technology in a golf ball-sized (1.5 inch diameter), robust and chemically inert integrated sensor system called Piper™. The Piper™ is equipped with a comprehensive set of sensors, consisting of a 3-axial accelerometer, gyroscope and magnetometer, a combined pressure and temperature sensor, and an advanced system for acoustic leak detection. Topics that will be addressed include the advantage of using a free-floating integrated device, the capability of reconstructing positioning, the ability to locate and quantify leaks, and the ability to locate pipeline elements such as welds and flanges, and changes in wall thickness. In the Piper™ pig combination, the detectability of bends including the angle and radius of curvature will also be demonstrated.
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