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Construction & Engineering


Bringing construction projects to the digital world

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People who work behind a computer screen all day take it for granted that everyone's work will be tracked and accessible when they collaborate with others. But if your job takes place out in the real world, managing projects can require a lot more effort. In construction, for example, general contractors and real estate developers often need someone to be physically present on a job site to verify work is done correctly and on time. They might also rely on a photographer or smartphone images to document a project's progress. Those imperfect solutions can lead to accountability issues, unnecessary change orders, and project delays.


For the construction industry, Spot can handle rough terrain

Boston Herald

Boston Dynamics has found a way to use robotic dogs without terrifying people. The maker of "Spot" -- a 71.7-pound, 33.1-inch-tall, four-legged robot -- has teamed up with DroneDeploy, a drone software provider, and Brasfield & Gorrie, one of the nation's largest privately held construction firms, to use the robots to automate construction documentation. "It definitely gets a lot of stares, I don't think out of fear but more out of shock and awe," said Jake Lovelace, a Brasfield & Gorrie innovation specialist. Outfitted with a 360-degree camera, Spot allows workers to autonomously capture data from building interiors and take close-up photos to document the progress a project has made for the bid process or inspection. It's built so that it can navigate rough terrain and also has sensors for noise, carbon dioxide and particulate levels, making it unnecessary for humans to risk going into potentially unsafe places, Lovelace said.


How Is Artificial Intelligence Used In B2B Companies: Here Are Powerful Examples

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There's often a misconception that artificial intelligence (AI) is only applicable to businesses in the B2C space. It's thought that since B2C companies have more customers, they have more data to leverage to make AI impactful. However, this couldn't be further from the truth. AI is as relevant to a B2B company as it is to a B2C company. It's important for every B2B company to evaluate the ways AI can help them produce better products, provide better services, and improve business processes.


Beyond Form & Structure: Generative Design and AI in AEC

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When Computer Aided Design (CAD) went mainstream in the 1980s, it simply replaced the act of manual drafting; it did not actually'aid' the design of buildings. Now with advances in local computing power, 3D graphics and an acceptance of a 3D modeling paradigm, we are finally at a point where CAD can live up to its name. Generative Design and Artificial Intelligence (AI) are two key technologies now taking CAD way beyond the capabilities of its 1980s predecessors. Rather than using the computer to document designs, it is the computer itself that is doing the heavy lifting, generating hundreds or thousands of design options, which all meet pre-defined goals. The designer then chooses the ones that best meet the project's objectives, then refines them to create the best functional solutions. In contrast, with a traditional design workflow, time and cost constraints often lead to playing safe and following what's been done before.


AI - eleven start-ups to watch in AEC

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Artificial Intelligence (AI) is coming to all aspects of the AEC industry. At the moment many are early start-ups but there is quite a range of new products and services using AI to enhance AEC workflows.. While a few mentioned here are still in open beta testing, many are commercially available. TestFit offers AI-enhanced site feasibility study and building configuration. The target market is architects, developers, and general contractors.


Siemens Healthineers India launches ACUSON Redwood Ultrasound System

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At the 73rd Annual Conference of Indian Radiological & Imaging Association (IRIA) 2020, Gandhinagar, Siemens Healthineers launched the ACUSON Redwood Ultrasound System. The system is built on the company's new platform architecture and features advanced applications for greater clinical confidence, AI-powered tools for smart workflows and has shared services cardiology features used by different hospital departments. "We are seeing an increased demand for premium medical imaging services being driven by the growing healthcare needs of a population with varied requirements, particularly in regard to chronic diseases," says Vivek Kanade, Executive Director, Siemens Healthineers India. We worked together with inputs from users to transform care delivery with the ACUSON Redwood and meet these challenges." The ACUSON Redwood's advanced applications, including Contrast Enhanced Ultrasound (CEUS) and Shear wave Elastography, are available for the first time from the company in this segment and support precise lesion detection and characterisation as well as potentially reduces the need for invasive procedures.


How Is Artificial Intelligence Used In B2B Companies: Here Are Powerful Examples

#artificialintelligence

There's often a misconception that artificial intelligence (AI) is only applicable to businesses in the B2C space. It's thought that since B2C companies have more customers, they have more data to leverage to make AI impactful. However, this couldn't be further from the truth. AI is as relevant to a B2B company as it is to a B2C company. It's important for every B2B company to evaluate the ways AI can help them produce better products, provide better services, and improve business processes.


Comprehensive Report on Artificial Intelligence in Energy Market 2020

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Artificial Intelligence in Energy Market research report is the new statistical data source added by A2Z Market Research. "Artificial Intelligence in Energy Market is growing at a High CAGR during the forecast period 2020-2026. The increasing interest of the individuals in this industry is that the major reason for the expansion of this market". Artificial Intelligence in Energy Market research is an intelligence report with meticulous efforts undertaken to study the right and valuable information. The data which has been looked upon is done considering both, the existing top players and the upcoming competitors.


Predictive engineering analytics, big data and the future of design

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By combining physics-based simulations, data mining, statistical modelling and machine learning techniques, predictive engineering analytics can analyse patterns in the data to construct models of how the systems you gathered the data from work. IoT and sensors are already transforming products and mining the stream of information from products will be critical for maintaining products and designing their replacements. For many industries, the products they create are no longer purely mechanical; they're complex devices combining mechanical and electrical controls. That means engineering different systems, and the ways they interface with each other, and with the outside world. At one level you're coping with electromechanical controls, at another, you're creating a design that covers the cooling requirements for the electronics.


LafargeHolcim launches Industry 4.0 for cement production – Australian Bulk Handling Review

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LafargeHolcim will implement automation and robotics, artificial intelligence, predictive maintenance and digital twin technologies for its production process. The company is upgrading its production fleet for the future through its'Plants of Tomorrow" program. The program will be rolled out over four years as LafargeHolcim upgrades its technologies in the building materials industry. The company predicts a "Plants of Tomorrow" certified operation will show 15 to 20 percent of operational efficiency gains compared to a conventional cement plant. Among the technologies implemented are predictive operations that can detect abnormal conditions and process anomalies in real-time. This aims to reduce maintenance costs by more than 10 percent and significantly lower energy costs. Digital twins of plants will also be created to optimise training opportunities. Automation and robotics is another important element of the strategy. Unmanned surveillance is being performed for high exposure jobs in the entire plant. Partnering with Swiss start-up Flyability, the company is using drones that allow the frequency of inspections to increase while simultaneously reducing cost and increasing safety for employees by inspecting confined spaces. In addition, the new PACT (Performance and Collaboration) digital tool allows operational decision making from experience-based to data-centric, by combining data from various sources and enabling machine learning applications. LafargeHolcim is currently working on more than 30 pilot projects covering all regions where the company is active. The first integrated cement plant will be at LafargeHolcim's premises in Siggenthal, Switzerland, this plant will test all modules of the'Plants of Tomorrow' program. LafargeHolcim Global Head Cement Manufacturing, Solomon Baumgartner Aviles, said transforming the way we produce cement is one of the focus areas of our digitalisation strategy and the'Plants of Tomorrow' initiative will turn Industry 4.0 into reality at our plants. "These innovative solutions make cement production safer, more efficient and environmentally fit.