Modeling and Analyzing the Impact of Technology on Data Capture and Transfer Processes at Construction Sites: A Case Study

Radio Frequency Identification (RFID) middleware is a new breed of software system which facilitates data communication between automatic identification equipments like RFID readers and enterprise applications. It provides a distributed environment to process the data coming from tags, filter and then deliver it to a variety of backend applications via various communication protocols including web services. In this paper, we focus on the information flow converting raw RFID data to useful information which may even be used to lead to automated business process execution and further to knowledge to support decision making, and we define the information flow as so-called ‘RFID Information Value Chain (RFID IVC)’. We examine the elements and associated activities of RFID IVC and also introduce the RFID middleware ecosystem not only to provide the seamless environment spanning from the edge of the enterprise network to the enterprise systems, but also to support the activities arisen on RFID IVC. RFID middleware ecosystem consists of RFID middleware, rule engine to generate business semantic events and orchestration engine to coordinate sort of business process invoked by RFID tag data capture event. Moreover, the implementations of each system residing in RFID middleware ecosystem are introduced and the relationship between RFID middleware ecosystem and RFID IVC is demonstrated.

Information lifecycle management with RFID for material control on construction sites

Radio frequency identification (RFID) technology is used to identify RFID-tagged objects automatically. An RFID system generally consists of three components: an RFID tag, an RFID reader, and a backend system. An RFID tag is a small device for identification, which is attached to or embedded in an object. It has an unique identifier and may optionally hold additional product information for the object. An RFID reader is a device used to interrogate RFID tags. It can be fixed or portable. It passes communication messages between an RFID tag and a backend system. A backend system stores and manages the online data which are associates with RFID tags. Since the communication between an RFID tag and an RFID reader occurs without optical line of sight, RFID tags can be read much longer and much faster than other automatic identification and data capture (AIDC) technologies such as Bar-codes and smartcards. Thanks to these advantages, RFID technology has various applications.

This article describes the radio frequency identification (RFID) technology and features, and designs of weapons and equipment of a RFID application management system, indicating the overall weapons and equipment management system software and hardware architecture of the system architecture system and the principle of weapons and equipment management system Database design and security of the system to make reasonable suggestions. The entire system through the use of radio frequency identification technology to change the original weapons and equipment to rely on manual data collection the way, exclude the interference of human factors, not only improves the accuracy of monitoring, monitoring of real-time alarm, but also reduce the monitoring cost, easy to manage.

Globalization of economy has broken trade barriers and improvements in information technology (IT) have given good greasing to the global trade by easing the flow of information between trading partners. The ability to utilize IT to ease trade has become an important issue. The current scenario of competition is not among companies, but among companies’ supply chain partners. Connective technologies have a great potential to integrate customers, information, and products across conventional supply chain boundaries, including management of manufacturing operations. Introducing Radio Frequency Identification (RFId) in supply chain has reflected a major technological advancement towards future gains by top business companies, hi this study, we examine the use of RFId technology in a supply chain (SC) and investigate its effectiveness and efficiency. The redesigned business process by implementing RFId technology to the members of a SC is investigated. The various factors affecting the SC, the challenges, and the solutions after applying RFId technology to a supply chain are also outlined. Practical applications related to tracking the movement of goods in diverse industrial sectors reflect the effectiveness of this technology. The analysis shows how pioneer implementers of RFId technology have improved the efficiency of SC and gained an edge over their competitors because of the reduced inventories. The initial pain of RFId implementation is outweighed by gains in long-term.

Authentication is an essential issue for any organization. Previously, automated authentication was present using punch cards system, but it had security issues. Now days, organizations prefer to have biometrics based authentication. But using biometrics applications is very costly and time consuming. We can derive a time and cost effective solution for this problem using RFID (Radio Frequency Identification). Using feature provided by RFID to detect multiple individuals with very short amount of time and provide security with image pattern matching algorithm. To implement this system, we will interface camera with RFID enabled system which will use Low Frequency (LF) RFID tags. On every detection the camera will capture photograph. Then authentication is processed by using image pattern matching algorithm. Such system will be cost and time effective. Radio Frequency Identification (RFID) is old technology but more widely used in location tracing and tracking applications, due to wider reading ranges, and larger memory capacities, making it a key contributor to the growth of the radio technology industry. Many large corporations are interested in research and development within the field of RFID due to potential growth in various RFID applications. The people management system is an application where masses data needs to be collected and managed in a short duration. But due to authentication issues with this technology makes it less effective. RFID is an automated data collection technology in which radio communication for data transfer across two entities: a reader and a tag. The tag has two sections: one for radio communication and other for data storage. The tags are broadly classified into 3 categories namely active, passive and semi passive. The active tags have an internal power source e.g. a battery, which limits the life time. A passive tag doesn't have a power source and obtain the energy from the magnetic field of the reader. These types of tags are smaller, cheaper and can be used for long time. The scope of the paper is limited to passive tags. The functionality of RFID Passive tags is very simple. When a tag comes in the vicinity of the reader, it detects the radio signals generated by the reader and start to transmit the data stored in the memory. The radio signal generated by the reader offers the power needed to function and the synchronization data for communication between two entities. RFID has emerged as a key technology for automatic data collection. Using this, one can speed up authentication process. Every individual having RFID enabled identity can be detected in very short amount of time. But problem of secured authentication comes into the picture here. One way is proceeding with camera and matching the pattern for individual's photograph.

The integration of sensing capability into active RFID tags has recently generated a lot of interest among the RFID community. In any sensor enabled Radio Frequency Identification (RFID) system data collection is done continuously. Data collection in this context can refer to the computation of statistical means and moments, as well as other cumulative quantities that summarize the data obtained by the system. However, these systems are usually very critical and used in sensitive applications. One such application area is healthcare where sensor enabled RFID tags are used in hospitals and clinics to provide various healthcare services by collecting different environmental and physiological data. In these types of healthcare services, the leakage of any raw data may lead to privacy violation of the system and the application users (in this case patient) in general. In such sensor enabled RFID based healthcare applications, privacy preservation cannot be accomplished using different cryptographic techniques because they involve heavy computation which is not feasible for resource constrained tags. Moreover, in these types of system, it is desirable to have end-to-end security with the data decrypted only at the reader in order to avoid security vulnerabilities as much as possible. Ensuring system security and preserving data privacy are two conflicting goals. To address this problem, we propose a privacy preserving data collection technique (PriDaC) for sensor enabled RFID based healthcare application. In PriDaC the data secrecy maintenance and data privacy protection mechanisms work cooperatively. To the best of our knowledge, it is the first work that allows privacy preserving data collection in sensor enabled RFID systems that provides healthcare services.

Bar codes and Radio Frequency Identification (RFID) both belong to a group of technologies called Automatic Identification and Data Capture. People have all become very aware of bar codes as they have permeated our existence in the last 25 years. In fact, it is tough to buy something in a store that does not use bar codes these days. But bar codes have four disadvantages: you have to be able to see them, the bar code cannot be written on or defaced, you cannot change the data once they are printed, and they take up space on the object they are printed on. To eliminate those disadvantages, RFID is the solution. RFID is a means of capturing data about an object without using a human to read the data. Along with Smart cards, and Magnetic Stripe technology and a host of others, this is a method of automating our need for data. Recently, the technique of RFID grabs people’s attention because it captures data about an object without using a human to read the data. Individual RFID tags must be cost-efficiency for these applications (usually less than one to two cents). The cost of antennas is a crucial factor in the mass production of antennas. To reach this goal, emphasis has been placed on the development of printed electronics technologies to enable the manufacturing of RFID tags in an economically competitive way (Hodgson, n.d.; Bjorninen, et al., 2009). Various printing processes has been or is currently being used for producing a number of electronic components such as printed circuits, displays, RFID antennas, batteries, etc. Printing techniques such as flexographic, offset and gravure are suited for mass production, while screen printing and ink-jet printing have been identified as processes that could be employed for printing the antennas in order to bring down the cost of RFID tags (Sangoi, 2004; Subramanian, 2005). Screen printing enables very thin printing and also very thick films. It has been used for a long time to print circuits and remains interesting for electronic printing. In the future, different printing methods are

This document is the collaborative effort of the members of an ad hoc subcommittee of the Underground Test Area (UGTA) Technical Working Group (TWG). The UGTA Project relies on data from a variety of sources; therefore, a process is needed to identify relevant factors for determining whether material-property data collected from other areas can be used to support groundwater flow, radionuclide transport, and other models within a Corrective Action Unit (CAU), and for documenting the data transfer decision and process. This document describes the overall data transfer process. Separate Parameter Descriptions will be prepared that provide information for selected specific parameters as determined by the U.S. Department of Energy (DOE) UGTA Project Manager. This document and its accompanying appendices do not provide the specific criteria to be used for transfer of data for specific uses. Rather, the criteria will be established by separate parameter-specific and model-specific Data Transfer Protocols. The CAU Data Documentation Packages and data analysis reports will apply the protocols and provide or reference a document with the data transfer evaluations and decisions.

Do PCGs need information officers?

RFID (radio frequency identification) promises to solve such problems by enabling item-level tracking throughout the supply chain, but real world implementation has been tempered by accuracy problems, high costs and environmental limitations when used around metals and liquids. AIDC (automated identification and data capture) solution that combined the best features of barcodes and RFID, achieving multiple-asset scans. The Visidot solution, a system based on digital imaging technology, is capable of capturing hundreds of standard, paper-label 2D data matrix codes in a single read from up to thirty metres away. Developers claim it is a more accurate and significantly less expensive alternative to RFID. At some point in the future, RFID solutions will allow companies to trace their products throughout their entire lifecycle. But RFID is a relatively new technology and has problems in implementation. 2D data matrix codes are a lower cost alternative.

Introduction Efficiently updating construction schedules is vital for managing dynamic workflows. Traditional methods like Gantt charts rely on manual updates, but newer approaches, such as Chronographic Modelling and Dynamic Modelling of Occupancy Rate Scheduling (DMORS), require tracking spatial positioning and occupancy rates of teams and resources. Given the complexity of these tasks, emerging technologies are being adopted to enhance data collection. Methods This study reviews recent advancements in tracking construction site occupancy and spatial positioning. It categorizes these technologies into three main types: image and video capture, 3D point cloud generation, and sensor-based tracking systems. Each method is evaluated based on seven essential criteria: data collection speed, portability, accuracy, worksite impact, post-processing time, accessibility, and technology maturity. Results The research provides a selection framework for contractors, helping them choose the most suitable tools based on project size and complexity. High-precision tools like LiDAR and laser scanning are ideal for large contractors requiring detailed modelling, while smaller firms may prefer cost-effective solutions such as manual data collection with photos or videos. Discussion This research highlights that no single technology meets all needs for tracking construction site occupancy. High-precision tools offer accuracy but may disrupt work, while simpler methods are easier to use but less detailed. So, depending on the size of the contractor or the project, the best technology may vary. Conclusion Ultimately, this paper supports the integration of space planning schedules in construction management by offering a structured approach to implementing modern data capture technologies. The study also highlights future trends, advocating for multi-technology integration to improve accuracy and exploring the potential of artificial intelligence for automated data analysis.

Radio frequency identification (RFID) is an emerging automatic identification technology that uses radio waves to transmit information. However, it is difficult to apply in large-scale or in dense environments because of its limited radio communication range and obstacles such as water and steel infrastructure. To overcome these problems, distributed and multiple deployment of RFIDs is needed. The distributed deployment of RFID readers can reduce the labor and cost involved in data collection and various applications. In a distributed RFID environment, time synchronization is essential for efficient collection of RFIDs and to allow readers to communicate with each other. This paper proposes a method to provide time to distributed RFID readers and synchronize their time with a reference clock. The proposed time synchronization method reduces traffic needed for synchronization and provides an accurate time by correcting the drift at a lower level. Our results show that the performance of the proposed method is 2.6 times better than that of the conventional time synchronization protocol.

RFID (Radio Frequency Identification) technology, with its multiple advantages, such as low power consumption, non-line-of-sight, non-contact, has been playing an important role in large-scale storage systems, underground parking systems, exhibition halls, supermarkets, construction sites and other scenarios. Many of those scenarios also require indoor positioning technologies, for example, warehouse goods positioning, item positioning in production assembly lines, worker positioning in construction sites. However, related researches about indoor positioning using RFID system has been having trouble in improving positioning accuracy, especially when tracking a randomly moving target. In this paper, we propose PTrack, a track prediction algorithm for tracking moving targets in indoor positioning systems which is based on RFID technology and the correspondences between the RSSI (Received Signal Strength Indicator) changes and the moving status of the target. Results show that the proposed algorithm effectively improves the positioning accuracy and achieves 1.7 m localization error in indoor environments, which makes a promising technology to support future pervasive RFID-based tracking applications.

ObjectiveThe main objective is to evaluate RFID tags detection rates using various exploratory scenarios in order to identify optimal conditions of use. The secondary objective is to evaluate RFID tags detection rates based on a real-life scenario involving a cardiorespiratory resuscitation drug tray used within our institution in order to identify optimal conditions of use.BackgroundThe traceability of goods has been a subject of interest for more than a century. Traceability makes it possible to locate goods at every step in the chain from production through to disposal. Just as with other Automatic Identification and Data Capture technologies, radio frequency identification (RFID) is used to increase the traceability of objects.ResultsSeven variables that could influence RFID tags detection rates were evaluated in eight exploratory scenarios. Optimal detection parameters allowing to a 100 % detection rate were identified: a 10-second reading time; a reading distance of 10 cm; parallel orientation of reader-antenna and at least two back and forth readings for a total of 6 sec were required for optimal reading. Detection rates decreased after 100 RFID tags and it were not affected by the shape of the RFID tags. Reader-antenna and RFID tag interferences resulted from aluminum paper or RFID tags that touched one another. RFID tag detection rates obtained per operator were similar. Regarding real-life scenarios, detection rates increased with reading times and a plateau effect was observed after 10 sec. Undetected elements varied and non-detection was almost always related to the proximity of two RFID tags rather than the nature of the items read.ConclusionTo our knowledge, this is the first prospective descriptive study that compares RFID tag detection rates based on various exploratory scenarios in order to identify optimal conditions of use. Such results can be used to develop a software application supporting drug replenishing through RFID in the drug use process.