Adam Ziebinski

Agent-based manufacturing execution systems for short-series production scheduling

This paper presents the architecture of Agent-based Manufacturing Execution Systems dedicated for short-series production support. The functional models are based on the ANSI/ISA-95 (IEC/ISO 62264) standard. The workflow and information exchange for Manufacturing Operations Management are defined by ISA 95 and implemented under a dynamic Agent-based environment. The proposed system is organised as a fully heterarchical architecture, without a central administration or system orchestrators. Unlike most of the existing agent software that are based on Java, the proposed solution is based on Microsofts Model-View-Controller and was created under the ASP.NET technology. Holons, which collect information from the real production system, are a Cyber Physical part of the application. Agents process information using Internet services that are available for human users and for the other agents as well. The proposed approach has been verified on the use case of the system that was created to support the production of electronic devices in the Prototyping Department of Continental Ingolstadt. The system model, applied communication mechanisms and examples of agents are presented in this paper. The research part of this paper is focussed on simulation-based planning for a short-series production schedule. The simulation results can be used to support the decision-making process.

A Survey of ADAS Technologies for the Future Perspective of Sensor Fusion

Traffic has become more complex in recent years and therefore the expectations that are placed on automobiles have also risen sharply. Support for drivers and the protection of the occupants of vehicles and other persons involved in road traffic have become essential. Rapid technical developments and innovative advances in recent years have enabled the development of plenty of Advanced Driver Assistance Systems that are based on different working principles such as radar, lidar or camera techniques. Some systems only warn the drivers via a visual, audible or haptical signal of a danger. Other systems are used to actively engage in the control of a vehicle in emergency situations. Although technical development is already quite mature, there are still many development opportunities for improving road safety. The further development of current applications and the creation of new applications that are based on sensor fusion are essential for the future. A short summary of capabilities of ADAS systems and selected ADAS modules was presented in this paper. The review was selected toward the future perspective of sensors fusion applied on the autonomous mobile platform.

Remote Monitoring of Geological Activity of Inclined Regions - The Concept

In the article authors consider the possibility of using current IT technologies to create a computer system dedicated to monitoring geological phenomena. Nowadays, there are a few technical solutions dedicated to monitoring various kinds of events. Some of them are standalone devices, other a little bit more complex systems. After seminar, realized together with geologists within the GIT project, the conclusion was born that there are no full-scale, comprehensive systems which can be able to perform a measurement acquisition at an field location, transmit information to a database, and process achieved data online and offline in an unaided way. Therefore, in the article the concept of such a system is presented. The system is dedicated to monitoring rock slides and similar geological activities. There are some techniques involved, which allows to reduce the processing and transmission time of data as well as power consumption and maintenance cost.

An Ontology Model for Communicating with an Autonomous Mobile Platform

This document presents an ontology-based communication interface dedicated for an autonomous mobile platform (AMP). All data between the Platform and other controllers such as PCs or AMPs are exchanged using standardized services. This solution not only allows the required measurement information and its states to be received from an AMP but also control of the Platform. The first advantage is that all of the information is available through an XML file. The second advantage is better possibility for controlling the AMP using external machines that can monitor the route of the AMP. In the case of avoiding obstacles, an external machine can, with the existing sensors and services, help the AMP come back via the correct route. The structure for the data for the Platform is described as set of standardized services such as information about the existing configuration and the status of any installed sensors. The XML format helps to structure information by adding metadata. To create a fully functioning system, it is necessary to add a semantic model (relations between the elements and services) of the AMP services. This paper describes one possible solution for creating ontology model, using the current configuration, services for monitor and services for control of the AMP.

Soft Core Processor Generated Based on the Machine Code of the Application

Currently embedded system designs aim to improve areas such as speed, energy efficiency and the cost of an application. Application-specific instruction set extensions on reconfigurable hardware pr...

The VHDL Implementation of Reconfigurable MIPS Processor

This article presents a project of an embedded system realized on a programmable matrix. The main element is a reconfigurable processor of MIPS architecture. It was implemented in the VHDL in such way that its instruction set can be reduced to the set of instructions present in the program memory. As the result a processor will contain the logic that is absolutely necessary. This solution yields a device that requires fewer gates to be synthesized in the programmable matrix and has a potential to increase the speed of the information processing performed by the system in the target FPGA.

Review of advanced driver assistance systems (ADAS)

New cars can be equipped with many advanced safety solutions. Airbags, seatbelts and all of the essential passive safety parts are standard equipment. Now cars are often equipped with new advanced active safety systems that can prevent accidents. The functions of the Advanced Driver Assistance Systems are still growing. A review of the most popular available technologies used in ADAS and descriptions of their application areas are discussed in this paper.New cars can be equipped with many advanced safety solutions. Airbags, seatbelts and all of the essential passive safety parts are standard equipment. Now cars are often equipped with new advanced active safety systems that can prevent accidents. The functions of the Advanced Driver Assistance Systems are still growing. A review of the most popular available technologies used in ADAS and descriptions of their application areas are discussed in this paper.

Determination of the machine energy consumption profiles in the mass-customised manufacturing

This paper presents an original methodology and related algorithms that are dedicated to monitoring energy efficiency in discrete production stations. The learning phase of the algorithm is executed during the regular production process and is based on observations of the behaviour of the production station and energy consumption measurements. The collected information is then processed using data-mining procedures in order to find the clusters that reflect the energy consumption profiles that are specific for different variants of production. The profiles are used to monitor energy efficiency and detect anomalies. The main benefit of the proposed approach is its flexibility. No additional calibrating operations or technological knowledge are required. Although the presented proof by research results are focussed on pneumatic air installations, the proposed methodology can also be used for other media. The output of the proposed solution is a very precise estimation of energy consumption in reference to a given variant of production. It allows for the accurate detection of compressed air consumption anomalies. Such anomalies can be caused by technical (machine faults) and technological (human errors) problems. The proposed methodology can be applied for the optimisation of energy consumption and for the detection of machine maintenance problems that are visible through abnormal compressed air consumption.

Agent Based Quality Management in Lean Manufacturing

Quality Management (QM) issues are together with production costs and delivery time one of the three main pillars of Lean Manufacturing. Although, Quality Operations Management should be supported by IT Manufacturing Execution Systems (MES), in practice it is very difficult to automate QM support on MES level because of its heterarchical and unpredictable nature. There is a lack of practical models that bind QM and MES. Authors try to fill this gap by proposed agent based MES architecture for QM support. This paper shows both concept of proposed architecture and its practical realisation on the example of automotive electronics device manufacturing.

A Machine-Learning Approach to the Automated Assessment of Joint Synovitis Activity

Medical ultrasound imaging is an important tool in diagnosing and monitoring synovitis, which is an inflammation of the synovial membrane that surrounds a joint. Ultrasound images are examined by medical experts to assess the presence and progression of synovitis. Automating image analysis reduces the costs and increases the availability of the ultrasound diagnosis of synovitis and diminishes or eliminates subjective discrepancies. This article describes research that is concerned with the problem of the automatic estimation of the state of the activity of finger joint inflammation using the information that is present in ultrasonography imaging.