We know of gearboxes and belt systems. These systems are used to transfer power mechanically by means of gears acting on each other and wheels connected by a belt, respectively. For almost any application such systems exist and we know how to apply them in our designs.
We know how to design and implement pneumatic systems which use pressurized gases to transfer power. In general these systems use the air around us and therefore are both safe and clean. However, they are not very accurate in handling big loads.
We know how to design and implement hydraulic systems which use pressurized fluids to transfer power. In general these systems use oils as their medium. Hydraulic systems have to be built with care due to being prone to leaks, however, they are the systems of choice for handling big loads accurately.
We know how to design and build machines that can sense their environment as well as act on their environment. Although sensors and actuators can be of a purely mechanical nature, often electronics are involved as well.
We know of combustion engines. Such engines provide power through a rotary force and use fuels as a means to generate this power. Such engines are most often applied in mobile solutions that require a lot of power.
We know of electro-motors. Such motors can be used as actuators or can be used to provide power through a rotary force. Electro-motors come in many different forms, suitable to many different applications. They are the inverse of generators which are used to generate electric power from a mechanical source.
We know how to design machines using Computer Aided Design (CAD) tools such as SolidWorks and Pro-Engineer. Using these tools, the mechanical parts of a machine can be created and assembled, virtually, which allows for verification of designs before they are built.
We know of analogue electronics, concerned with continuous signals. These signals represent information through varying voltages, currents, frequencies, etc. We know how to design, build and integrate systems that use such signals.
We know of digital electronics, concerned with discrete signals. These signals represent information by logic levels or ranges of voltages, currents, etc. We know how to design, build and integrate systems that use such signals.
We know how to process signals, both of a digital and analogue nature. We know how to convert digital to analogue signals and how to represent analogue signals digitally.
We know how to apply electronics to represent what can be sensed in the world or to operate devices that act on the world. To interact with their environment, sensors and actuators always require a mechanical component.
We know how to control and convert electric power. We know how to design and build power electronics as part of any larger design.
We know how to design and create electronic systems dedicated to certain tasks. Such systems could involve power electronics, analogue and digital systems, sensors and actuators, and could provide programmable components.
We know how to design and build machines that are used for computing algorithms. For many applications, suitable computing devices already exist, and we know how to apply these devices to the problem at hand.
We know how to communicate with machines. Hence, we can make them interact with each other. Making machines interact avoids the necessity of human intervention, which always poses a risk of error.
We know how to manage big data sets, how to collect all of that data, how to pre-process that data and how to organize storage for that data. As such, you can reflect on that data at any moment in the future.
We know how machines can and should interact with humans, custom to the task at hand, to improve user experience and to avoid error wherever possible.
We know how we can make machines, that sense and act on their environment, intelligent. We know how machines can learn from and remember what they have sensed. We can make them reason, plan and even take action, based on what they have learned.
We know of a multitude of programming languages to make machines compute. We know how to create optimal algorithms using these languages. Most programming languages have different purposes, specific to the task or the machine, and we know how to apply them.
We know how to identify humans by what makes them unique. We know how data can be protected and how services can be guaranteed to be provided to the right entities. We know how to make interactions through machines secure, whether or not by the application of biometrics.
We know how different systems can be structured for them to cooperate. We know how to integrate these systems such that many of the existing systems can be reused, replacing or adding only that what is strictly necessary.
This complex and long-term project involved a problem and feasibility analysis as to provide advise regarding effective automation of the remanufacturing line. After setting the goals of the project, by means of reverse-engineering, designs were made, custom to the problem at hand. Finally, these design lead to the construction of machines that were implemented in the remanufacturing line, integrated into corporate administrative systems and monitored until delivery.
This most interesting project required consulting on global remanufacturing projects of strategic value. We were involved in market research for determining suitable mechatronics, a partial reverse-engineering of these mechatronics, analysis of solutions towards the remanufacturing of the mechatronics and a feasibility analysis for different scenarios with varying estimated volumes.
This challenging project involved an extensive study as to provide advise regarding the automation of administrative tasks. After determining the necessary tools to automate administration, a custom project manager, ticketing service, employee manager and schedule manager, integrated with an RFID based punch clock and access system, was designed, constructed and implemented. Finally, the team server was integrated into corporate administrative systems and monitored until delivery.
This rather complex project required analysis of the hardware currently in use, selection of new hardware suitable to the task, design and implementation of software for operation of the renewed components, design and implementation of hardware components, provision of an automation component for stand-alone operation and, finally, the testing, migration and monitoring of the new control system.
Welcome to the website of 'IDEA: Intelligent Design in Engineering Automation' (IDEA), below referred to as the IDEA website.
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This document is the first version of the Terms and Conditions of the IDEA website, created on 27 August 2015.