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บริการรับซ่อม ติดตั้ง Inverter ซ่อม inverter (อินเวอร์เตอร์) ทุกรุ่นทุกยี่ห้อ เช่น
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The goals that small business owners place on infrastructure improvements can be based upon what industry they are in, but some are most nervous about the infrastructure in their area.

French automaker Renault announces its board will meet on Tuesday to vote on a potential merger with Fiat Chrysler.

It was just late last year that iRobot announced the i7, a top of the line Roomba that can map your home, remember those maps, clean the rooms that you wished it to, and then remove all of the dirt that it picked up into a docking station so you didn't need to even think about the robot for weeks, or even months. After testing out the i7, we noticed that it really did work as advertised. For the first time, you could have regularly cleaner floors with literally zero effort. Thanks, robots!
 
We thought, somewhat naively as it turns out, that iRobot would be content to take a little bit of a break; historically, the Roomba innovation and commercial release cycle hasn't been really intense. The i7 seemed like a big enough step forward that iRobot would let folks modify to the idea of a self-emptying Roomba, which is (to be fair) a pretty impressive engineering trick.
 
Rather, iRobot is perfectly overshadowing the Roomba i7 just nine months later with two new floor cleaning robots: the Braava m6, which is a beefed-up version of the Braava Jet with a mapping system in it; and the Roomba s9, a square-fronted (!) Roomba vacuum with a 3D sensor in the front to aid it manage difficult areas of your home better than ever. The reason that both of these robots are being announced together is because they work as a team, communicating with each other to first vacuum your floors, and then mop them.
 
Until today, I never considered I'd see a square-fronted Roomba, but here we are. We’re explained that the Roomba s9 is essentially “a ground-up redesign” of the Roomba. And while there are a lot of features that trace their heritage to past Roomba generations, iRobot didn't leave all that much untouched. You still get a little bit of that older Roomba look with the very prominent round design on top (which is also a light ring for notifications and provides top access to the dust bin), but otherwise, square-ish is the new round.
 
For years, Neato has established the point that in order to get deep into edges and up along all the flat surfaces that can be found in most homes, a square front makes the most sense. Roombas have had the benefit in maneuverability (since a round design allows for zero-radius turns), but it looks like iRobot has determined that the square front really does clean better.
 
Having a square front offers the Roomba s9 a few different advantages. First, it signifies that the cleaning system (the brushes and vacuum) are 30% wider than they could be or else, and they get closer to the edges of the robot. Second, and far more excitingly, the square front grants iRobot the space it needs to install a 3D time-of-flight sensor. The press release describes this as “a new advanced 3D sensor [that] constantly scans what’s immediately ahead of the Roomba s9+ at a rate of 25 times per second to help the robot get deep into corners, along edges and clean large areas efficiently.”
 
Despite recurring pestering, iRobot wouldn't tell us exactly what the 3D sensor is. What we do know is that it gives x, y, and z coordinates of obstacles, and is strong to the kinds of black or reflective surfaces that have usually tripped up iRobot's front proximity sensors. (If your Roomba has repeatedly smashed itself into pieces of black furniture, you know exactly what I'm talking about.) iRobot says that the sensor helps “make the process of touching stuff more elegant.” The robot will still nudge things to tell completely how close it is to obstacles, but it should do so much more gently. The sensor will also help the robot get into tighter spaces, navigate cleanly through those spaces, and then get out again, despite its square shape. And we're also told that over-the-air updates will add more capability via this sensor in the future.
 
The front sensor also helps the Roomba s9 make more precise maps, although the biggest mapping system is still the same upward facing vSLAM camera that you'll find on the i7. It's precisely the same, in fact, and the Braava m6 uses it as well.
 
The Braava traces its lineage back to Mint, a little Swiffer-ish robot developed by Evolution Robotics nearly a few years ago; I examined one back in 2010. iRobot obtained Evolution Robotics in 2012, and adopted the idea of using disposable or reusable cleaning pads rather than the time consuming and often rather disorganized wet floor cleaning technique of iRobot's own Scooba. The Braava Jet (announced in 2016) was a compromise, using both sprayed water and cleaning pads, and the m6 is essentially the same—except bigger, easier to use, and able to map its environment just like the Roomba i7 and s9.
 
The m6 can use dry cleaning pads if you want, but it's very created to be a mopping robot, cleaning your floors with tap water (or cleaning solution). You fill up a tank onboard the robot, and it squirts water in front of it as it cleans, careful not to get baseboards or obstacles unnecessarily wet. Unlike a vacuum, where one powerful pass is usually sufficient, you can instruct the Braava to make anywhere from 1 to 5 passes over your entire floor, depending on how sticky things have gotten. You can select the amount of water that it uses, too: more is fine for tile, but you might want less for fancy hardwood. Once the Braava is done, it'll autonomously get back to its charging dock just like a Roomba, although you'll need to add more water to the tank and change out the pad, which involves a single button to drop a disposable pad into the trash, or a reusable pad into the washing machine.
 
The Roomba s9, Braava m6, and the Roomba i7 are all equipped with what iRobot is calling “Imprint Link Technology.” For the moment, this enables the robots to do just one big thing: collaborate on a floor cleaning sequence. The same interface within the iRobot app that tells you a robot-gained floor map of your home allows you to select whatever room or combination of rooms you want the robots to clean. First, the Roomba will vacuum your floors in good straight lines, and then the Braava will follow, in equally nice (but slightly more damp) straight lines of its own. The coverage is efficient and can be done without you paying any attention at all, or even being at home. Doing things this way should help both robots clean significantly better. The Braava will be happier not having to deal with large debris (which its pad isn't designed for), while the Roomba won't have to try and handle sticky floors.
 
This teamwork idea is a big deal for home robots, and it's clear that this initial cooperative functionality is just the beginning. We asked iRobot CEO Colin Angle about this, along with some other issues to help put these new robots in context.
 
IEEE Spectrum: Now that different robots in the home specialized in different tasks can speak with each other, there must be an massive amount of possible, right?
 
Colin Angle: Absolutely. Now that we have an comprehension of where rooms are, you now have a framework to join forces through, and instead of just vacuuming the home, we're now clearing the home: vacuum these rooms, mop those rooms, and vacuum and then mop those other rooms. And those actions can be triggered by other devices linked to the home ecosystem.
 
One instance is: Today, if you're cleaning the kitchen after serving a meal, there's this visceral experience around when you turn on the dishwasher— the moment when everything is clean and stress goes down. Well, why not mop then, too? Why not have these home rituals augmented with robotic collaboration. It's a very, very rich space, and we're just scratching the surface, but the door has been opened because of the ability to remember maps, understand the home, and now, initiating to have authentic inter-robot collaboration.
 
Is there anything more you can tell us about the new 3D sensor?
 
It's a planned light sensor that's used to give us a 3D reconstruction of the environment in front of the robot. That's practical to make sure that we don't knock anything more aggressively than we want to by design. If you look at the trajectory that the robot takes as it sort of swoops in along the edge of a room, or lines itself up to drive along a baseboard, you'll see real precision— the s9 is literally millimeters away from baseboards as it cleans. The sensor is also used to help the robot navigate around things like chair legs and underneath tables much more thoughtfully and effectively, since we can actually see where barriers are and aim between them. 
 
Are there other capabilities that this sensor could be leveraged for in the future?
 
The s9 is a platform, just to be evident. Launch attributes and the features a year from now— we'll be continuously updating the software to enhance the performance. One idea is that the robot could actually recognize the type of objects it's cleaning around, and have object specific behaviors to help it do a much better job and not get stuck. We have some basic functionality in that category today, but it will certainly be something that we will resume to create, and it'll get better and better. The goal with the s9 is a big jump in cleaning with the capability to present an experience where you can go months without touching your robot, so there's instantly such a huge benefit to not getting stuck. Really, we want the robot living in your home, giving you this frictionless experience of having your home entirely and thoroughly vacuumed every single day.
 
Why did you choose to update the Braava for mopping, quite than bringing back the Scooba?
 
The Scooba did a perfect job cleaning, but the user experience, sadly, wasn't what it could have been. The problem was that you had to clean Scooba up after every use. The promise of robot mopping, like the promise of robot vacuuming, is that you just let the robot do it, and Scooba still needed you to get a little wet and dirty. The Braava Jet architecture was much more well-received by consumers, because you could just use the disposable or washable pad, and the cleanup is radically better. One day I'd love auto-replenishment of Braava, but that's a ways off.
 
With our floors now autonomously vacuumed and mopped almost totally autonomously, what other opportunities are there for iRobot to innovate in the home?
 
Well, you know about our little project for the lawn, so that's certainly a next thing. And something I'm very happy about is, I view the i7 and the s9 as some of the first true smart home appliances, where the experience when paired with something like a smart speaker, and home understanding, delivers a home experience that's much richer than 'turn on the light,' and feels more like a service than a product. You have deep cleaning every day, on-demand 'clean up that mess…' How do we make more of the smart home feel the same way?
 
So if you think about iRobot's 'what's-next' future, it's a lot about enabling the smart home to truly be smart, to be more about delivering to the owner a healthier, well operated environment, than it is about just efficiency. And creating a way that finally, after a decade of hype, the smart home actually starts to deliver. I can't get more specific about it at this point, but that's the journey that we're on.
 
If you thought the i7+ was a “top of the line” robot vacuum (which is absolutely what we said up until just now), you'd be wrong. According to iRobot, “the i7 represents the upper end of our middle tier,” while the s9 is “premium tier.” This seems like it could be a bit of a disappointment for anyone who only just spent around US $1,000 on what was, for a few months anyway, arguably the best robot vacuum out there. But if it makes you feel any better, the s9+ (with the dirt dock) will cost a staggering $1,299 when it goes on sale on 9 June. The m6 is more reasonable, retailing for $499 with its charging dock included.
 
For Roomba i7 early adopters, we should reiterate that the i7 does communicate with the m6, which enables you to take advantage of the tag-team vacuuming and mopping behavior. Unfortunately, the s9 does not work with the i7's dirt dock, which, honestly, is a bit frustrating. iRobot told us that it's because the situation of the bin in the s9 is unique and so the access port has to be in a different place, and also that there are different electronics inside the base to help the s9 charge faster.
 
 
Whenever we post about these super fancy Roombas, we try to keep things in context by pointing out that earlier generations (you know, the round ones) do a completely decent job of cleaning floors, even if they don't make maps or get the dirt instantly sucked out of them. If you simply want a robot to vacuum your floors, a Roomba that costs a third of the price of the s9 will likely clean your house almost as well, albeit with a little bit more effort on your part.
 
Also, with the s9 specifically, the most fascinating thing (we think) is that 3D sensor on the front, which is probably capable of doing more for iRobot gadgets than it’s presently being using for. The inter-robot communication thing is a big deal too; there are lots of ways that we can visualize robots being able to integrate more usefully into our lives. But they're not there yet, and it's perfectly realistic to say, okay, let's wait see what iRobot manages to do with this new innovation over the next six months or a year before dropping nearly $2,000 on a new team of floor cleaning robots. Besides, at this rate, they'll have a newer and way fancier robot out by then anyway. My guess? An anti-gravity system to go up and down stairs, lasers to zap pollen right out of the air, and an inertial agitation system that softly shakes your entire house to loosen up even the most stubborn clumps of dirt.



This article is originally posted on Tronserve.com

Waunakee, WI (May 31, 2019) . . . Tormach Inc. has announced it is now supplying servo motors for its line of 1100M and 770M CNC milling machines. Servo upgrade kits are now available for existing users of these machines, which allows them to convert their current ‘M' series machines to ‘M+'.
 
Users who replace to servo motors will enjoy numerous benefits, including:
 
-Faster speeds - more than double feed rates
-Higher acceleration - allows machine to get up to speed much quicker
-Reduced noise
-Closing of the feedback loop into the control system
-Time and money savings on every part made
 
Tormach has released a video that is available on YouTube that shows examples of the time savings that can be achieved using the servo motors over the conventional stepper motors: https://www.youtube.com/watch?v=ZThv3Ryhw0M&feature=youtu.be
 
'For the huge majority of machinists using our 1100M and 770M mills, updating to the servo motors is an easy decision,' said Lori Morrison Bufalo, Marketing Director at Tormach. 'We've made it easy and affordable for users to run this upgrade and begin getting even better results out of their Tormach mills.'
 
The cost to upgrade to the servo motor package is $1,995.00. Additional recommended items including an automatic oiler kit are available for an excessive fee.
 
Later this year Tormach plans to offer a BT30 spindle upgrade package to users as well. This update will allow users to take their ‘M+' mills to the ‘MX' level, meaning they will have the servo motors along with BT30 spindles, encoders, and power drawbars.



This article is originally posted on Tronserve.com

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บริการรับซ่อม ติดตั้ง Inverter ซ่อม inverter (อินเวอร์เตอร์) ทุกรุ่นทุกยี่ห้อ เช่น
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Inverter Inverters Servo Drive Drives Motor Soft Starter HMI Touch Screen Monitor PCB PLC Power Supplies CNC UPS Electronics PSU Boards Controllers
ALLEN BRADLEY KEB HAITIAN YASKAWA RIETER DANFOSS LENZE SIEMENS NIDEC CONTROL TECHNIQUES INVERTEK INVT CUTES DELTA ABB SCHNEIDER FICTRON ELECTRIC LG LS HITACHI TECO TOSHIBA MITSUBISHI FUJI ELECTRIC OMRON HYUNDAI PROFACE HITECH GE FANUC PANASONIC MINAS EUROTHERM CURTIS EMERSON EMOTRON DENSEI NEMIC LAMBDA HONEYWELL BOSCH REXROTH HAAS TOYOTA YALE ZAPI DANAHER NICHIYU DYNADRIVE MINARIK ORIENTAL NISSEI BAUMULLER B&R ACOPOS KINCO KOMATSU HAKKO KEYENCE OTIS KONE COPLEY SEGMA SSD SPG AEG BALDOR BEIJER CONVO DEMA EATON CUTTLER HAMMER GEFRAN HOLIP HUAWEI INDRRAMAT IMO SANKYO SUMITOMO SEW EURODRIVE SAMCO RELIANCE ELECTRIC TELEMECANiQUE FRECON VACON
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“We understood we were facing a problem when we got tens of jobs available and not a single qualified candidate was applying,” said CEO of Precise Tool and Manufacturing, John S. Gizzi. “Customers were ordering parts, but we needed to wait to machine them because so many of our machines sat unmanned.”

Encountering new trade sanctions and a U.S. clampdown on its top telecommunications company, China issued a pointed message Wednesday that it has yet to unleash all its weapons in its trade war with the Trump administration.

Malaysian Prime Minister Mahathir Mohamad on Thursday asked for talks to solve the continued trade dispute between Washington and Beijing and advised the world to accept China's technological prowess.

Chess and Go were originally developed to mimic warfare, but they do a bad job of it. War and most other competitions always involve more than one opponent and more than one ally, and the play generally unfolds not on an orderly, flat matrix but in a variety of landscapes built up in three dimensions.
 
That’s why Alphabet’s DeepMind, having crushed chess and Go, has now resolved the far harder challenge posed by the three-dimensional, multiplayer, first-person video game. Writing today in Science, lead author Max Jaderberg and 17 DeepMind colleagues describe how a totally unsupervised program of self-learning allowed software to exceed human performance in playing “Quake III Arena.” The experiment involved a version of the game that calls for each of two teams to capture as many of the other teams’ flags as possible.
 
The teams begin at base camps set at contrary ends of a map, which is generated at random before each round. Players roam about, interacting with buildings, trees, hallways and other features on the map, as well as with allies and opponents. They try to use their laser-like weapons to “tag” members of the opposing team; a tagged player must drop any flag he might have been carrying on the spot and return to his team’s base.
 
DeepMind represents each player with a software agent that sees the same screen a human player would see. The agents have no way of knowing what other agents are witnessing; again, this is a much closer version of real strategic contests than most board games provide. Each agent begins by making choices at random, but as evidence trickles in over successive iterations of the game, it is used in a process called reinforcement learning. The result is to cause the agent’s behavior to converge on a purposeful behavior pattern, called a “policy.”
 
Each agent evolves its policy on its own, which indicates it can specialize a bit. However, there’s a limit: After every 1000 iterations of play the system compares policies and estimates how well the overall team would do if it were to mimic this or that agent. If one agent’s winning chances turn out to be less than 70 percent as high as another’s, the weaker agent copies the stronger one. Meanwhile, the reinforcement learning is itself tweaked by comparing it to other metrics. Such tweaking of the tweaker is known as meta-optimization.
 
Agents start out as blank slates, but they do have one feature built into their way of evaluating things. It’s called a multi–time scale recurrent neural network with external memory, and it keeps an eye not only on the score at the end of the game but also at earlier points. The scientists note that “Reward purely based on game outcome, such as win/draw/loss signal...is very sparse and put off, resulting in no learning. Hence, we get more frequent rewards by considering the game points stream.”
 
The program generally beats human players when starting from a randomly generated position. Even after the humans had practiced for a total of 12 hours, they still were able to win just 25 percent of the games, drawing 6 percent of the time, and losing the rest.
 
However, when two expert game testers were granted a particularly complex map that had not been used in training and were allowed to play games on that map against two software agents, the pros needed just 6 hours of training to come out on top. This result was not discussed in the Science paper but in a supplementary document made available to the press. The pros used their in-depth study of the map to identify the routes that the agents preferred and to work out how to avoid those routes.
 
So for the time being people can still beat software in a well-studied set-piece battle. Of course, real life rarely provides such opportunities. Robert E. Lee got to fight the Battle of Gettysburg just one time.



This article is originally posted on Tronserve.com

LEXINGTON, KY (May 30, 2019) - Emerson has introduced a new tool to help pneumatic system users conveniently and easily see the potential benefits of integrating IIoT. By connecting the new AVENTICS™ Smart Pneumatics Analyzer to the compressed air supply on an active machine, users will have instant analysis options for key machine characteristics such as compressed air consumption and possible leakages.
 
'By digitizing the pneumatic environment, the Smart Pneumatics Analyzer provides users with the option to immediately experience the advantages and potential of IIoT applications on their own machine - in just a few simple steps,' says Dr. Michael Britzger, senior manager, digital improvement for pneumatic technologies at Emerson Automation Solutions. The handheld analyzer case contains a Smart Pneumatics Monitor, AS series air preparation units and a tablet for visualizing the live data. Emerson personnel can show a user within minutes how they can use IIoT-enabled data for insights into their own machine.
 
The monitor initially recognizes the system operating state, analyzes data, and offers this processed information to users for status-oriented maintenance, for example. While other solutions collect all available data and transfer it unfiltered, the Smart Pneumatics Monitor examines the data locally and uses it to produce details about the reputation of the system. All data from the valves, as well as from components connected to the I/O modules on the valve system, is read into a microprocessor and prepared by means of mathematical algorithms. These algorithms are founded on decades of expertise in AVENTICS™ pneumatic product engineering and application.
 
Condition monitoring, the arrangement of operating states and their prediction as the basis for anticipatory maintenance, offers direct advantages for customers using IIoT applications. Because they can expect wear before it leads to machine downtimes, they allow users to notably increase the availability of their equipment and reduce maintenance costs. Once defined limits are reached, the electronics can instantly send messages to ERP and MES systems, as well as maintenance or other staff. Data collected can also help optimize a pneumatic systems' energy efficiency.
 
'It's important to us to support our customers in their digitization process as equals,' adds Britzger. 'Based on the analysis results, we therefore also further develop the Smart Pneumatics Analyzer together with our customers especially for their application. This way, users can experience and apply the added value of IIoT for themselves.' In addition to being demonstrated by Emerson associates, the analyzer is available for sale to users if they would like to keep the unit at their facility.



This article is originally posted on Tronserve.com

Rittal North America LLC, a premier manufacturer of enclosures and climate control solutions, introduces a new UL 3R/4 rated cooling unit for outdoor use. The emerging product runs the Blue e line of air conditioners and fills a void in the marketplace for outdoor-compliant enclosure climate control.
 
Built to average enclosure climate in outdoor temperatures ranging from -4 to 122 degrees Fahrenheit, the unit protects electronics and controls reliably in a variety of outdoor environments, including rain, wind, snow, ice and dust. The Blue e unit is appropriate with the award-winning IoT interface to provide network interconnectivity, and remote monitoring and control.
 
Other key benefits include:
 
Eye bolt for transport and easy installation (>1000W)
Nano-coated condenser
Vandal-resistant comfort controller located inside the enclosure
Integrated condensate evaporator (>1000W)
'We're always expanding our product portfolio to meet the needs of our customers,' said Mike Freund, managing director for Rittal North America LLC. 'The new 3R/4 cooling unit is a best-in-class climate solution that delivers protection and peace of mind to our customers. They know Rittal quality will protect their equipment year-after-year in the world's most challenging environments.'
 
The new unit carries a number of approvals and ratings, including NEMA 12, NEMA 3R, NEMA 4, cULus listing, cULus FTTA, CE and EAC.



This article is originally posted on Tronserve.com

The VIASENSOR G100 series of carbon dioxide (CO2) gas analyzers from Q.E.D. Environmental Systems, Inc., is ideal for measuring CO2 levels and for indoor air quality measurements. The accuracy and portability of the analyzer makes it specifically useful for a wide array of food and beverage applications, including the brewery fermentation process and carbonated soda dispensing systems.
 
With its industry leading reliability, quick verification of CO2 levels, and simple to read large well-lit display, the VIASENSOR G100 and G110 monitoring systems are a good choice for measuring the CO2 in brewing vats. These instruments feature advanced stability with built-in moisture removal, and easy user calibration right on the analyzer. They offer data storage for 1,000 readings, download capabilities, a long life battery, and quick manufacturing and service lead times. Available options include dual temperature, oxygen, and relative humidity capabilities.
 
CO2 accumulation from the brewery fermentation process or CO2 gas line for carbonated soda that lasts in enclosed areas can cause health effects to employees and customers. Food and beverage workers can use the VIASENSOR G150 model for background monitoring and indoor air quality applications, specifically to detect the presence of the gas and check for leaks. This model detects CO2 ranging from 0-10,000 parts per million (ppm).
 
Rittal North America LLC, a leading manufacturer of enclosures and climate control solutions, offers a new UL 3R/4 rated cooling unit for outdoor use. The new product expands the Blue e line of air conditioners and fills a void in the marketplace for outdoor-compliant enclosure climate control.
 



This article is originally posted on Tronserve.com

In this digital era, data is recognized for its intrinsic value in smart decision-making and improved business insights. However, in manufacturing, it serves a distinct purpose. Data helps personnel on the shop floor control goals and tasks, understand details of work orders, and visualize critical conditions, such as machine configurations or engineering specifications. But in the typical plant, access to real-time data is typically a challenge. Workers and managers are hardly ever at a desk, rarely at one workstation, and next to never in an environment that is free of noise, extreme conditions, or potential hazards. These points are among the many causing manufacturers to significantly turn to mobile solutions and wearable technology to give workers access to the data they need — whenever and wherever the job takes them.

Fighting to retain its access to major markets for next-generation communications, Chinese tech giant Huawei is challenging the constitutionality of a U.S. law that hinders its sales of telecom equipment.

Line of sight is the leading problem for all the aspects of the supply chain, from the manufacturer to the wholesaler, from the vendor to the reseller, and even the end consumer. This decrease of visibility and resulting lack of control can produce a number of problems, from stock losses to pricing inflation, uncertain availableness and increased time to market. Forecasting and trend reporting are also all but difficult since a complete view of the supply chain cannot be gained. The perfect goal for maximum efficiency and visibility is an integrated value chain where all systems communicate seamlessly. This brings end-to-end insight and finally makes predictive analytics on the supply chain a reality.

The world's largest steel maker, ArcelorMittal, on Wednesday stated additional cuts to production at several plants in Europe as a result of weak demand and high imports, highlighting troubles in the wider industry.