Improving earthmoving estimating by more realistic knowledge

1996 ◽  
Vol 23 (1) ◽  
pp. 250-259 ◽  
Author(s):  
John Christian ◽  
Tian Xing Xie
Keyword(s):  
Decision Support ◽  
Expert System ◽  
Human Experience ◽  
Critical Element ◽  
Engineering Project ◽  
Knowledge Based ◽  
Accurate Knowledge ◽  
The Common ◽  
The Cost ◽  
Selection Of

Earthmoving operations are often a very important aspect of a civil engineering project. Very accurate knowledge of the earthmoving operation is often the vital, critical element in the formation of a good and accurate cost estimate and schedule because of its prominent role in influencing costs and time. Inaccuracies are often built into earthmoving estimates by the fairly sweeping assumptions that are made during the estimating process. These problems were revealed in answers to a questionnaire and in interviews with experts. The factors that affect the performance of machines are discussed, including the common types of earthmoving operations. The importance of haul distance in determining which type of equipment should be used is also considered. The selection of equipment and estimation of costs for earthmoving depend heavily on human experience. The means of eliciting human experience are described in detail. Because of this reliance on human experience, a prototype knowledge-based expert system was developed using a shell program. The system is able to select the most appropriate fleet of machines, and estimate the cost, for use as a decision support system in planning an earthmoving operation. Key words: construction, earthmoving, estimating, knowledge, expert system, realistic knowledge.

Knowledge-based systems and operational hydrology

1991 ◽  
Vol 18 (1) ◽  
pp. 1-11 ◽  
Author(s):  
Slobodan P. Simonovic
Keyword(s):  
Expert System ◽  
Flow Measurement ◽  
Knowledge Based Systems ◽  
Flow Measurements ◽  
Knowledge Based ◽  
Original Concept ◽  
System Water ◽  
Potential Use ◽  
Selection Of

Knowledge-based systems were brought to the attention of hydrologists almost a decade ago. The application of knowledge-based systems technology is natural and appropriate for the field of hydrology because it contains numerous procedures developed from theory, actual practice, and experience. The emphasis of the present paper is on demystifying knowledge-based systems of artificial intelligence. After a detailed review of the most important applications to the field of hydrology, the original concept for applying knowledge-based technology is presented. The discussion ends with the list of possible benefits from the application of knowledge-based technology. An expert system for the selection of a suitable method for flow measurement in open channels is used as a case study to illustrate the discussion in the paper. The system has been designed for potential use in Environment Canada. Key words: expert system, water resources, hydrology, flow measurements.

scholarly journals Prototype of an Expert System for the Selection of Aircraft Structural Materials

2020 ◽  
Vol 2020 ◽  
pp. 1-7
Author(s):  
Xuelong Hao ◽  
Chen Wen ◽  
Ning Zhao ◽  
Lu Lu ◽  
Kai Zhang ◽  
...  
Keyword(s):  
Decision Support ◽  
Expert System ◽  
Support System ◽  
Material Selection ◽  
Base System ◽  
Aircraft Material ◽  
Manufacturing Applications ◽  
Materials Used ◽  
Multiple Experts ◽  
Selection Of

Expert systems (ES) are widely used for engineering and manufacturing applications nowadays. In order to solve the problems in material selection in the aviation field, an aircraft material expert system (AMES) was developed. This expert system is based on the knowledge of multiple experts and aviation data. A decision support system (DSS) was designed for selecting the materials used in aviation fields. The flows of material selection were designed, and the models of AMES were established. A data base system was also designed to implement AMES.

scholarly journals MULTI-VARIANT DECISION SUPPORT E‐SYSTEM FOR DEVICE AND KNOWLEDGE BASED INTELLIGENT RESIDENTIAL ENVIRONMENT

2007 ◽  
Vol 13 (4) ◽  
pp. 303-313 ◽  
Author(s):  
Jurga Naimavičiene ◽  
Artūras Kaklauskas ◽  
Andrius Gulbinas
Keyword(s):  
Decision Support ◽  
Young People ◽  
Supply And Demand ◽  
Residential Environment ◽  
Family Needs ◽  
Knowledge Based ◽  
Environment Model ◽  
Factors Analysis ◽  
Intelligent Devices ◽  
Selection Of

Intelligent housing is a novelty in Lithuania yet. Such housing is not popular in our country. Specialists of automation claim that such situation occurred not only because people lack knowledge but also because the concept of intelligent housing is interpreted erroneously (most people think that remotely controlled door of garage, for instance, makes their housing intelligent). Intelligent helpers started to emerge in households only recently. Intelligent ambient assisted environment model, created by authors, helps to evaluate intelligent ambient assisted environment by social, cultural, political, legal, economical, technological and environmental factors analysis. Basing on this model also ambient assisted environment supply and demand as well as various criteria evaluation, the system able to select the best intelligent devices alternatives accordingly to each family needs was created. Through analysis of separate parts of an existing household, it is possible to distinguish intelligent devices that I study, ie intelligent lock, intelligent robot‐cleaner, intelligent infant respiratory monitor, intelligent sentinel and intelligent keyboard. Users of intelligent devices are families of young people, who want to save time and who appreciate convenience and innovations. Advantages and benefits of devices used by families of young people are being analysed. In order to provide the best guarantee for rational selection of variants of intelligent devices, decisions must be based on the system of criteria which describes variants of intelligent devices, the decision Support system must reflect consumer requirements to the best possible extent, and the data provided in the system must be real and updated easily. Computer and internet technologies, multi‐variant evaluation methods as well as principles and requirements applicable to favourable residential environment are combined to achieve this goal.

A Submerged Floating Tube Bridge Concept for the Bjørnafjord Crossing: Alternatives for Station Keeping

2016 ◽  
Author(s):  
Tale Egeberg Aasland ◽  
Anders Myhr ◽  
Stein Atle Haugerud ◽  
Arianna Minoretti ◽  
Jorunn Hillestad Sekse
Keyword(s):  
Stress Reduction ◽  
Soil Conditions ◽  
Critical Element ◽  
Final Decision ◽  
Station Keeping ◽  
Accurate Knowledge ◽  
The Cost ◽  
Impact Energies

A submerged floating tube bridge (SFTB) concept has been developed for the Bjørnafjord crossing. Two designs are currently considered feasible: pontoon stabilized and tension leg stabilized SFTB. Previous studies have found that the vertical motions and accelerations are largest for the pontoon stabilized concept, although both designs are within the requirements. With respect to ship impact, seabed mooring is favorable. No ship impact is likely at the current depth of the bridge, and this is considered a great advantage. Submarine impact on the tethers must be considered, however. Using a failsafe link between the pontoons and the tube itself significantly lowers the stress in the bridge due to ship impact. The link will break at impact energies above a given threshold, and release the pontoon. The bridge is designed to survive loosing one pontoon. It is seen that the bridge survives impact even without the failsafe, thus it is not a critical element, but the stress reduction is beneficial. The cost of the tension leg moored alternative is substantially higher than that of the pontoon stabilized one. Both concepts are considered feasible, but the final decision depends on more accurate knowledge of the soil conditions in the fjord.

scholarly journals Knowledge-Based Decision Support for Concept Evaluation Using the Extended Impact Model of Modular Product Families

2022 ◽  
Vol 12 (2) ◽  
pp. 547
Author(s):  
Erik Greve ◽  
Christoph Fuchs ◽  
Bahram Hamraz ◽  
Marc Windheim ◽  
Christoph Rennpferdt ◽  
...  
Keyword(s):  
Decision Support ◽  
Product Architecture ◽  
Impact Model ◽  
Product Families ◽  
Support Tool ◽  
Knowledge Based ◽  
Modular Product ◽  
Concept Evaluation ◽  
The Impact ◽  
Selection Of

The design of modular product families enables a high external variety of products by a low internal variety of components and processes. This variety optimization leads to large economic savings along the entire value chain. However, when designing and selecting suitable modular product architecture concepts, often only direct costs are considered, and indirect costs as well as cross-cost center benefits are neglected. A lack of knowledge about the full savings potential often results in the selection of inferior solutions. Since available approaches do not adequately address this problem, this paper provides a new methodological support tool that ensures consideration of the full savings potentials in the evaluation of modular product architecture concepts. For this purpose, the visual knowledge base of the Impact Model of Modular Product Families (IMF) is used, extended and implemented in a model-based environment using SysML. The newly developed Sys-IMF is then applied to the product family example of electric medium-voltage motors. The support tool is dynamic, expandable and filterable and embedded in a methodical procedure for knowledge-based decision support. Sys-IMF supports decision makers in the early phase of interdisciplinary product development and enables the selection of the most suitable modular solution for the company.

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