Automated load securing system for cargo vans

The use of lashing means, for example load securing straps or nets, is often time-consuming, especially for courier, express and parcel-services (CEP) using a lot stops. The following article describes the development of an automated load securing system with a three-dimensional-preformed net. Mainly two components interact in this system. On the one hand, an anti-skid system is integrated, which uses the advantages of a low-friction surface for loading and the anti-slip properties of an adhesive coating for the transport. On the other hand, a flexibly adaptive net consisting of high-performance synthetic fibers and integrated shorteners lash different sized transport units. Especially, the automatic lashing should increase the acceptance of the drivers for the new load securing system.

Automatisiertes Ladungssicherungssystem für Kleintransporter

Besonders für Kurier-Express-Paket-Dienste (KEP) mit vielen Haltepunkten sind verfügbare Mittel zur Ladungssicherung, wie z.B. Sicherungsnetze oder Sicherheitsgurte viel zu zeitaufwendig in der Anwendung. Im vorliegenden Artikel wird die Entwicklung eines automatisierten Ladungssicherungssystems mit dreidimensionalem-vorgeformten Sicherungsnetz vorgestellt. Für die Ladungssicherung wirken zwei Kernkomponenten zusammen. Zum einen ist ein Antirutschsystem integriert, welches die Vorteile einer reibarmen Oberfläche zum Beladen und die rutschhemmende Wirkung eines haftenden Belags beim Transport ausnutzt. Zum anderen werden unterschiedlich große Transporteinheiten durch ein sich flexibel anpassendes Netz überspannt, welches aus hochfestem Material, mit integrierten Netzverkürzern besteht. Die automatische Bedienbarkeit soll vor allem bei den Fahrern die Akzeptanz für das Ladungssicherungssystem erhöhen.

Reibung – ein unterschätztes Phänomen in der Verpackungslogistik

„Geiz ist geil!“ ist das Motto eines Handelshauses. Aber diese Philosophie erweist sich immer häufiger als ungeeignet, längerfristigen Erfolg zu sichern. Oftmals wird gerade aus diesem Grund wieder verstärkt auf Qualität geachtet, auf die Qualität von Produkten, auf die Qualität von Herstellungsprozessen, auf die Qualität von Logistikprozessen etc. Dieser Sinneswandel beeinflusst auch alle Verpackungsprozesse, da diese untrennbar mit der Sicherung der Produktqualität und der sicheren Abwicklung aller logistischen Prozesse verbunden ist. Neben der Forderung nach einem wirtschaftlichen Produktschutz als Kernaufgabe der Verpackung müssen jedoch auch zwingende Vorgaben – beispielsweise seitens des Gesetzgebers (z. B. im Lebensmittelbereich, in der Gefahrgutlogistik, im Straßenverkehrsrecht) – beachtet werden. Das führt u. a. dazu, dass alle verpackten Güter so geschützt sein sollten, dass sie den Belastungen im Transportprozess, aber auch den Belastungen aufgrund von Ladungs- und Ladeeinheitensicherungsmaßnahmen standhalten können. Da sich jedoch nicht alle Ladegüter oder Packstücke beliebig für form- oder kraftschlüssige Sicherungsmaßnahmen eignen, sollte bei der Auslegung von Verpackungsmaßnahmen insbesondere der hilfreichen Wirkung von Reibungskräften zur Reduzierung zusätzlicher Sicherungsmaßnahmen Aufmerksamkeit gewidmet werden.

Reibung – ein unterschätztes Phänomen in der Verpackungslogistik

„Geiz ist geil!“ ist das Motto eines Handelshauses. Aber diese Philosophie erweist sich immer häufiger als ungeeignet, längerfristigen Erfolg zu sichern. Oftmals wird gerade aus diesem Grund wieder verstärkt auf Qualität geachtet, auf die Qualität von Produkten, auf die Qualität von Herstellungsprozessen, auf die Qualität von Logistikprozessen etc. Dieser Sinneswandel beeinflusst auch alle Verpackungsprozesse, da diese untrennbar mit der Sicherung der Produktqualität und der sicheren Abwicklung aller logistischen Prozesse verbunden ist. Neben der Forderung nach einem wirtschaftlichen Produktschutz als Kernaufgabe der Verpackung müssen jedoch auch zwingende Vorgaben – beispielsweise seitens des Gesetzgebers (z. B. im Lebensmittelbereich, in der Gefahrgutlogistik, im Straßenverkehrsrecht) – beachtet werden. Das führt u. a. dazu, dass alle verpackten Güter so geschützt sein sollten, dass sie den Belastungen im Transportprozess, aber auch den Belastungen aufgrund von Ladungs- und Ladeeinheitensicherungsmaßnahmen standhalten können. Da sich jedoch nicht alle Ladegüter oder Packstücke beliebig für form- oder kraftschlüssige Sicherungsmaßnahmen eignen, sollte bei der Auslegung von Verpackungsmaßnahmen insbesondere der hilfreichen Wirkung von Reibungskräften zur Reduzierung zusätzlicher Sicherungsmaßnahmen Aufmerksamkeit gewidmet werden.

Ladungssicherung - ein aktuelles Thema

Ladungssicherung ist derzeit ein aktuelles Thema mit einer hohen Brisanz. Schon kleine Fehler in diesem Bereich können große Schäden auslösen. Verstärkte Forschungsaktivitäten führen zu neuen Erkenntnissen die in zukünftigen Maßnahmen Berücksichtigung finden sollten. Dies trifft auch für die Ladungssicherung von Betonfertigteilen zu.

Partitioning The Net Effect Of Host Diversity On An Emerging Amphibian Pathogen.

The 'dilution effect' (DE) hypothesis predicts that diverse host communities will show reduced disease. The underlying causes of pathogen dilution are complex, because they involve non-additive (driven by host interactions and differential habitat use) and additive (controlled by host species composition) mechanisms. Here, we used measures of complementarity and selection traditionally employed in the field of biodiversity-ecosystem function (BEF) to quantify the net effect of host diversity on disease dynamics of the amphibian-killing fungus Batrachochytrium dendrobatidis (Bd). Complementarity occurs when average infection load in diverse host assemblages departs from that of each component species in uniform populations. Selection measures the disproportionate impact of a particular species in diverse assemblages compared with its performance in uniform populations, and therefore has strong additive and non-additive properties. We experimentally infected tropical amphibian species of varying life histories, in single- and multi-host treatments, and measured individual Bd infection loads. Host diversity reduced Bd infection in amphibians through a mechanism analogous to complementarity (sensu BEF), potentially by reducing shared habitat use and transmission among hosts. Additionally, the selection component indicated that one particular terrestrial species showed reduced infection loads in diverse assemblages at the expense of neighbouring aquatic hosts becoming heavily infected. By partitioning components of diversity, our findings underscore the importance of additive and non-additive mechanisms underlying the DE.

Definition of MV Load Diagrams via Weighted Evidence Accumulation Clustering using Subsampling

A definition of medium voltage (MV) load diagrams was made, based on the data base knowledge discovery process. Clustering techniques were used as support for the agents of the electric power retail markets to obtain specific knowledge of their customers’ consumption habits. Each customer class resulting from the clustering operation is represented by its load diagram. The Two-step clustering algorithm and the WEACS approach based on evidence accumulation (EAC) were applied to an electricity consumption data from a utility client’s database in order to form the customer’s classes and to find a set of representative consumption patterns. The WEACS approach is a clustering ensemble combination approach that uses subsampling and that weights differently the partitions in the co-association matrix. As a complementary step to the WEACS approach, all the final data partitions produced by the different variations of the method are combined and the Ward Link algorithm is used to obtain the final data partition. Experiment results showed that WEACS approach led to better accuracy than many other clustering approaches. In this paper the WEACS approach separates better the customer’s population than Two-step clustering algorithm.

Determination of electricity consumers’ load profiles via weighted evidence accumulation clustering using subsampling

With the electricity market liberalization, the distribution and retail companies are looking for better market strategies based on adequate information upon the consumption patterns of its electricity consumers. A fair insight on the consumers’ behavior will permit the definition of specific contract aspects based on the different consumption patterns. In order to form the different consumers’ classes, and find a set of representative consumption patterns we use electricity consumption data from a utility client’s database and two approaches: Two-step clustering algorithm and the WEACS approach based on evidence accumulation (EAC) for combining partitions in a clustering ensemble. While EAC uses a voting mechanism to produce a co-association matrix based on the pairwise associations obtained from N partitions and where each partition has equal weight in the combination process, the WEACS approach uses subsampling and weights differently the partitions. As a complementary step to the WEACS approach, we combine the partitions obtained in the WEACS approach with the ALL clustering ensemble construction method and we use the Ward Link algorithm to obtain the final data partition. The characterization of the obtained consumers’ clusters was performed using the C5.0 classification algorithm. Experiment results showed that the WEACS approach leads to better results than many other clustering approaches.

Typical load profiles in the smart grid context – a clustering methods comparison

The present research paper presents five different clustering methods to identify typical load profiles of medium voltage (MV) electricity consumers. These methods are intended to be used in a smart grid environment to extract useful knowledge about customer’s behaviour. The obtained knowledge can be used to support a decision tool, not only for utilities but also for consumers. Load profiles can be used by the utilities to identify the aspects that cause system load peaks and enable the development of specific contracts with their customers. The framework presented throughout the paper consists in several steps, namely the pre-processing data phase, clustering algorithms application and the evaluation of the quality of the partition, which is supported by cluster validity indices. The process ends with the analysis of the discovered knowledge. To validate the proposed framework, a case study with a real database of 208 MV consumers is used.

Knowledge extraction from medium voltage load diagrams to support the definition of electrical tariffs

With the electricity market liberalization, distribution and retail companies are looking for better market strategies based on adequate information upon the consumption patterns of its electricity customers. In this environment all consumers are free to choose their electricity supplier. A fair insight on the customer´s behaviour will permit the definition of specific contract aspects based on the different consumption patterns. In this paper Data Mining (DM) techniques are applied to electricity consumption data from a utility client’s database. To form the different customer´s classes, and find a set of representative consumption patterns, we have used the Two-Step algorithm which is a hierarchical clustering algorithm. Each consumer class will be represented by its load profile resulting from the clustering operation. Next, to characterize each consumer class a classification model will be constructed with the C5.0 classification algorithm.

Fuzzy Monte Carlo mathematical model for load curtailment minimization in transmission power systems

This paper presents a methodology which is based on statistical failure and repair data of the transmission power system components and uses fuzzyprobabilistic modeling for system component outage parameters. Using statistical records allows developing the fuzzy membership functions of system component outage parameters. The proposed hybrid method of fuzzy set and Monte Carlo simulation based on the fuzzy-probabilistic models allows catching both randomness and fuzziness of component outage parameters. A network contingency analysis to identify any overloading or voltage violation in the network is performed once obtained the system states by Monte Carlo simulation. This is followed by a remedial action algorithm, based on optimal power flow, to reschedule generations and alleviate constraint violations and, at the same time, to avoid any load curtailment, if possible, or, otherwise, to minimize the total load curtailment, for the states identified by the contingency analysis. In order to illustrate the application of the proposed methodology to a practical case, the paper will include a case study for the Reliability Test System (RTS) 1996 IEEE 24 BUS.

Contextual intelligent load management with ANN adaptive learning module

With the current increase of energy resources prices and environmental concerns intelligent load management systems are gaining more and more importance. This paper concerns a SCADA House Intelligent Management (SHIM) system that includes an optimization module using deterministic and genetic algorithm approaches. SHIM undertakes contextual load management based on the characterization of each situation. SHIM considers available generation resources, load demand, supplier/market electricity price, and consumers’ constraints and preferences. The paper focus on the recently developed learning module which is based on artificial neural networks (ANN). The learning module allows the adjustment of users’ profiles along SHIM lifetime. A case study considering a system with fourteen discrete and four variable loads managed by a SHIM system during five consecutive similar weekends is presented.

Optimal scheduling of a renewable micro-grid in an isolated load area using mixed-integer linear programming

In the energy management of the isolated operation of small power system, the economic scheduling of the generation units is a crucial problem. Applying right timing can maximize the performance of the supply. The optimal operation of a wind turbine, a solar unit, a fuel cell and a storage battery is searched by a mixed-integer linear programming implemented in General Algebraic Modeling Systems (GAMS). A Virtual Power Producer (VPP) can optimal operate the generation units, assured the good functioning of equipment, including the maintenance, operation cost and the generation measurement and control. A central control at system allows a VPP to manage the optimal generation and their load control. The application of methodology to a real case study in Budapest Tech, demonstrates the effectiveness of this method to solve the optimal isolated dispatch of the DC micro-grid renewable energy park. The problem has been converged in 0.09 s and 30 iterations.

Intelligent SCADA for load control

A supervisory control and data acquisition (SCADA) system is an integrated platform that incorporates several components and it has been applied in the field of power systems and several engineering applications to monitor, operate and control a lot of processes. In the future electrical networks, SCADA systems are essential for an intelligent management of resources like distributed generation and demand response, implemented in the smart grid context. This paper presents a SCADA system for a typical residential house. The application is implemented on MOVICON™11 software. The main objective is to manage the residential consumption, reducing or curtailing loads to keep the power consumption in or below a specified setpoint, imposed by the costumer and the generation availability.

Contribution of hospital effluents to the load of pharmaceuticals in urban wastewaters: Identification of ecologically relevant pharmaceuticals

The impact of effluent wastewaters from four different hospitals: a university (1456 beds), a general (350 beds), a pediatric (110 beds) and a maternity hospital (96 beds), which are conveyed to the same wastewater treatment plant (WWTP), was evaluated in the receiving urban wastewaters. The occurrence of 78 pharmaceuticals belonging to several therapeutic classes was assessed in hospital effluents and WWTP wastewaters (influent and effluent) as well as the contribution of each hospital in WWTP influent in terms of pharmaceutical load. Results indicate that pharmaceuticals are widespread pollutants in both hospital and urban wastewaters. The contribution of hospitals to the input of pharmaceuticals in urban wastewaters widely varies, according to their dimension. The estimated total mass loadings were 306 g d− 1 for the university hospital, 155 g d− 1 for the general one, 14 g d− 1 for the pediatric hospital and 1.5 g d− 1 for the maternity hospital, showing that the biggest hospitals have a greater contribution to the total mass load of pharmaceuticals. Furthermore, analysis of individual contributions of each therapeutic group showed that NSAIDs, analgesics and antibiotics are among the groups with the highest inputs. Removal efficiency can go from over 90% for pharmaceuticals like acetaminophen and ibuprofen to not removal for β-blockers and salbutamol. Total mass load of pharmaceuticals into receiving surface waters was estimated between 5 and 14 g/d/1000 inhabitants. Finally, the environmental risk posed by pharmaceuticals detected in hospital and WWTP effluents was assessed by means of hazard quotients toward different trophic levels (algae, daphnids and fish). Several pharmaceuticals present in the different matrices were identified as potentially hazardous to aquatic organisms, showing that especial attention should be paid to antibiotics such as ciprofloxacin, ofloxacin, sulfamethoxazole, azithromycin and clarithromycin, since their hazard quotients in WWTP effluent revealed that they could pose an ecotoxicological risk to algae.