Intel物联网始于 Intel Inside。
英特尔在全球设计、制造和销售集成数字技术平台。该公司的平台用于各种计算应用，包括笔记本电脑、台式机、服务器、平板电脑、智能手机、无线和有线连接产品、可穿戴设备、交通系统和零售设备。它提供处理系统数据和控制系统中其他设备的微处理器；芯片组，在微处理器与输入、显示和存储设备之间发送数据，例如键盘、鼠标、显示器、硬盘驱动器或固态驱动器以及光盘驱动器；将其中央处理器与其他系统组件集成到单个芯片上的片上系统产品；和有线网络连接产品。特色子公司/业务部门： - Intel Inside - 英特尔数据中心管理器 (DCM) - Saffron Technology - Wind River
从监测我们家庭的能源效率到寻找更高效的方式来养活全球人口，利用这些相互关联的“事物”并将大量原始数据转化为可行的见解将对社会产生变革性的影响。然而，技术和业务挑战都在减缓物联网的采用。公司内的决策者正试图更好地掌握预期的投资回报率、成本和可扩展性，而 IT 经理则在为集成、互操作性、管理以及针对特定垂直行业量身定制的需求而苦苦挣扎。英特尔正在通过提供开放和可扩展的产品、培育繁荣的生态系统以及展示展示潜在价值和易于部署的试点和用例来应对这些挑战。英特尔提供具有内置安全性的全面的端到端硬件和软件产品组合。为了使物联网更易于部署和跨应用程序快速扩展，英特尔提供了英特尔物联网平台，这是一个设计蓝图，详细说明了如何安全地连接和管理从小型传感器到构成云的大型服务器群的一系列“事物”，同时在此过程中使用各种分析工具和技术。
苹果、戴尔、惠普、NTT Data、Mandic Cloud Solutions、盛大游戏G Cloud、百度、中华电信、KT Corporation、宝马
Intel 是平台即服务 (paas), 分析与建模, 网络与连接, 处理器与边缘智能, 传感器, 和 无人机等工业物联网科技方面的供应商。同时致力于汽车, 建筑与基础设施, 石油和天然气, 安全与公共安全, 运输, 和 公用事业等行业。
Intel的技术栈描绘了Intel在平台即服务 (paas), 分析与建模, 网络与连接, 处理器与边缘智能, 传感器, 和 无人机等物联网技术方面的实践。
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Wearables for Connected Workers
Together, Honeywell and Intel have developed a IoT proof of concept (PoC) for the Connected Worker. The Connected Worker can take many forms - factory laborer, mine worker, first responder, firefighters and more. For each environment and worker role, a different selection of sensors may be appropriate to provide the most meaningful IoT-fueled dataset to represent that individual worker asset. As with most IoT solutions, it is critical to avoid being overwhelmed by a steady stream of meaningless data. Rather, it is essential to send select actionable intelligence to the cloud for visualization and customized alert notifications. The downside is that data from individual wearable devices - if viewed independently - can potentially cause false alarms and contribute to inefficiencies in a manpower as a result. Fusing sensor technology with big data processing (hub/gateway), analytics - all in the cloud - is the key to improving local intelligence as well as remote visualization of actionable intelligence.
Taking Oil and Gas Exploration to the Next Level
DownUnder GeoSolutions (DUG) wanted to increase computing performance by 5 to 10 times to improve seismic processing. The solution must build on current architecture software investments without sacrificing existing software and scale computing without scaling IT infrastructure costs.
Improving Vending Machine Profitability with the Internet of Things (IoT)
The vending industry is undergoing a sea change, taking advantage of new technologies to go beyond just delivering snacks to creating a new retail location. Intelligent vending machines can be found in many public locations as well as company facilities, selling different types of goods and services, including even computer accessories, gold bars, tickets, and office supplies. With increasing sophistication, they may also provide time- and location-based data pertaining to sales, inventory, and customer preferences. But at the end of the day, vending machine operators know greater profitability is driven by higher sales and lower operating costs.
SAS® Analytics for IoT: Smart Grid
Companies face falling revenues, rising infrastructure costs, and increasing risk of outages caused by inconsistent energy production from renewable sources. Less money is coming in as more people and organizations take steps to curb their energy use. Utilities are paying more to maintain and build infrastructure due to increasing complexity, resulting from the rising number of intermittent and variable renewable energy sources connected in the distribution grid.
A Smarter Brain for Your Train…
Have you ever felt overloaded by too much sensory input? The results can be problematic, even risky if you’re driving at the time. The same holds true for trains, ships, oil rigs, and many other industrial assets. The data processing challenges on these complex machines are growing rapidly as the number of sensors increases; yet so are the opportunities to transform operations by using all the available data effectively. A modern locomotive, for example, has as many as 200 sensors generating more than a billion data points per second.
Building Smart IoT-Connected Railways
• Difficult environment. Communications equipment on trains must function properly in harsh conditions, such as environment temperatures ranging from -25°C to +85°C, according to the EU standard EN50155.• Railway regulations. All products in a train must adhere to strict standards, relating to working vibration, power consumption, and lifetime.• Lengthy process. Time to market in the railway industry can take years from concept to mass production, so product design requires a solid long term vision.
Transcode Creates a Vehicle Fleet Management solution with Intel IoT Gateway
Problem: Inefficient vehicle fleet management hinders business efficiency, employee productivity, and revenue growth opportunities. - Difficult to manage fleet operations, particularly in tracking their daily activities- Challenge for business owners to monitor their drivers’ behavior and daily productivity. Business owners need to ensure that their drivers are following business rules and policies.
Connected Transportation: A Smarter Brain for Your Train with Intel
A modern locomotive, for example, has as many as 200 sensors generating more than a billion data points per second. Vibration sensors surround critical components, video cameras scan the track and cab, while other sensors monitor RPM, power, temperature, the fuel mix, exhaust characteristics, and more.Most of today’s locomotives lack sufficient on-board processing power to make full use of all this data. To make matters worse, the data from different subsystems, such as the brakes, fuel system, and engine, remain separate, stored in isolated “boxes” that prevent unified analysis. The data is available, but the technology needed to process it in the most effective manner is not. As new sensors are added to the machine, the problem escalates.
Eco-Friendly, Engaging SAVORTEX Transforms the IoT
Of the 70 million corporate washrooms, 20 percent are equipped with environmentally unfriendly, inefficient, and unhygienic hand-dryers and around 80 percent offer expensive paper towels that create three million tons of waste. As such, reducing building management costs, boosting facility efficiencies, and cutting energy use is very lucrative. SAVORTEX has built the world's first IoT-enabled messaging hand-dryer to disrupt this inefficient sector and transform corporate washrooms into smart spaces. Built on Intel® technology, the SAVORTEX AdDryer* uses the Internet of Things (IoT) to deliver waste savings, alert cleaners to washroom needs based on usage, and engage consumers with tailored, high-definition video messages, allowing enterprises to transform costly commercial washrooms into connected, hygienic, and sustainable revenue-producing assets.ChallengesIngrained issues: High costs, inefficient maintenance, and energy consumption in washrooms make them difficult to manage. SAVORTEX wanted to solve multiple problems at once.Excessive waste: The prevalent drying choice of expensive paper towels significantly impacts the environment in both manufacture and disposal.Status quo: Conventional brushed-motor hand-dryers are energy-hungry and have a short life-expectancy so are costly to run, but finding budget to deploy new solutions on the necessary scale can be difficult.
Machine Learning Helps Intel Rediscover Their Customer Demographic
Intel’s sales and marketing organization strives to increase communications with resellers relating to new industry segments as they evolve and to encourage resellers to join webinars or conferences to gain a better understanding of Intel’s offerings for these new markets. Because sales and marketing teams must focus their resources on those resellers with the highest probability of generating sales, sending the right message to the right reseller helps drive value for the sales pipeline. We needed a machine-learning system to help our sales and marketing teams identify the best prospects within Intel’s large pool of resellers.
GenoSpace Boosts Population Analytics and Application Performance
Since maintaining the confidentiality of human genetic data is of paramount importance to GenoSpace, the company has made security a top priority. In an environment where breaches involving healthcare data have reached alarming levels, GenoSpace understands the costly business impact of noncompliance with HIPAA patient privacy regulations and industry-leading data security practices. For example, the Identity Theft Resource Center’s 2014 annual list of security breaches points out that the medical/healthcare sector accounted for more than 42.5% of all the breaches listed, topping all other categories. Since reporting requirements began, the US Department of Health and Human Services has tracked 944 incidents involving approximately 30 million individuals. Along with the persistence and enormity of this problem comes financial fallout. For example, in its study, 2014 Cost of Data Breach Study: Global Analysis, the Ponemon Institute estimated that the average cost of a data breach in 2014 was $3.5 million, an increase of 15% over 2013. Additionally, the average cost per record across all sectors also increased, from $188 to $201—and the per capita cost for healthcare was the highest across all industries at $316 per patient. And the typical fine for a data breach runs up to $1.5 million per incident. The cost of breaches to the healthcare sector overall is estimated at $5.6 billion annually.
Adding Intelligence to Airport Transfers
Maintain Momentum Airports need to keep billions of passengers moving every year, while aligning with strict security protocols. Improve Control Airport buses need careful and constant logistical management, with dispatchers tracking operational, capacity and geographic data for each bus. Enhance the JourneyPassengers appreciate being well informed about where to go next, so easily accessible and available details enrich their traveling comfort.
Parts Quality Gets Robotic Boost
When manufacturers, such as the world's top car makers and automotive parts suppliers, produce components in their factories, traditional QA testing has been limited to verifying the quality of random parts pulled off the line throughout the day.It was time consuming to perform the detailed tests required, and defective parts could get through despite randomized tests.If a defective part caused a recall or accident, manufacturers could face costly litigation or irreparable damage to their reputation.
Employing Intel Deep Learning SDK Toward Bettering Image Recognition Models
In this case study, the challenge explored involves LeNet*, one of the prominent image recognition topologies for handwritten digit recognition. In the case study, we dive into how the training tool can be used to visually set up, tune, and train the Mixed National Institute of Standards and Technology (MNIST) dataset on Caffe* optimized for Intel® architecture. Data scientists are the intended audience.
Smart Support for Vulnerable Adults from Cascade3d
•Smart healthcare. Cascade3d wanted to integrate its analytics into an IoT platform so that data from sensors could be gathered, filtered, and analyzed to transform and optimize professional healthcare.• Education. IoT solutions are seen to be quite complex and can be daunting for less technical people, so adoption in the healthcare industry requires education as well as low barriers to use.• Data privacy. Especially when dealing with vulnerable individuals, the security of all data collected is paramount, as is sensitively dealing with this data.
Higher Ambient Data Center Temperatures Reduce Costs
As a pioneering IT enabler and technology driver, Intel’s objective was to demonstrate to clients that the modern data center operating environment does not require the level of cooling traditionally thought necessary to guarantee reliable performance. Given the significant energy cost and capital expense associated with cooling technology, there would be considerable potential for dramatically reducing TCO by designing and building data center facilities that run at a higher ambient temperature.Demonstrating the validity of this approach required an accurate and straightforward way to scientifically prove how TCO could be reduced without business risk or compromising IT performance. Intel needed a dependable solution that would rapidly allow a detailed assessment of the entire data center environment under varying workloads and conditions, holistically and at an individual component level.
Enhancing The Supply Chain With Intel Architecture
Support more complex business needsBoth the increasing number of customers and more complex business demand a higher-performing acquisition planning system (APS) to ensure stable and reliable operation. Improve business agilityImprove the flexibility of the APS to increase business agility. Reduce costsEnhance the APS with better performance and higher scalability at a lower cost to enable the company's future development.
Founded in 1983, Advantech is a leader in providing trusted innovative embedded and automation products and solutions. Advantech offers comprehensive system integration, hardware, software, customer-centric design services, and global logistics support; all backed by industry-leading front and back office e-business solutions.
Oracle is a leader in enterprise software and provides hardware and services to help companies improve their processes. Best known for its focus on databases, it offers aid in areas such as managing business data, collaboration and application development, customer relationship management, and supply chain management. Year founded; 1977 Revenue: $38.2 billion (2015) NYSE: ORCL
Bosch is an industry leader in automobile and industrial equipment, as well as consumer goods and building systems. Bosch operates via 440 subsidiaries in 60 countries; its core lines include mobility (auto) systems, from diesel/hybrid drive to steering, starter motors and generators, electronics, and brakes.Year founded: 1886Revenue: $58.7 billion (2014)Portfolio Companies:- Bosch Software Innovations- Rexroth- Deepfield Robotics- Escrypt- ProSyst
Headquartered in Phoenix, AZ, Avnet, Inc. focuses exclusively on the unique needs of embedded OEMs, solution providers, and independent software vendors. Our broad range of product lifecycle management services provide flexible options that support you from solution development through delivery including concept design, engineering, manufacturing, systems integration, order management, warehousing and logistics.
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
GE is a diversified specialty equipment, infrastructure and financial services company. Their products and services range from aircraft engines, power generation, oil and gas production equipment, and household appliances to medical imaging, business and consumer financing and industrial products. GE believes new technologies will merges big iron with big data to create brilliant machines. This convergence of machine and intelligent data is known as the Industrial Internet, and it's changing the way we work. Year founded: 1892 Revenue: $148.5 billion (2014) NYSE: GE Featured Subsidiaries/ Business Units: - GE Digital - GE Predix - GE Intelligent Platform - Wurldtech
Hewlett Packard Enterprise (HPE)
Hewlett Packard Enterprise or HPE (formerly HP) makes IT environments more efficient, productive and secure, enabling fast, flexible responses to a rapidly changing competitive landscape. They enable organizations to act quickly on ideas by delivering infrastructure that can be easily composed and recomposed to meet shifting demands, so they can lead in today’s marketplace of disruptive innovation. Year founded: 2015 (1939) Revenue: $53.0 billion (2014) NYSE: HPE