Selectors look at Iyer to solve Indias No 4 woes

first_imgMumbai: The Indian selectors — led by M.S.K. Prasad — finally decided to address the number four conundrum when they sat down to pick the squad for the West Indies tour on Sunday. After struggling through the World Cup without a fixed number four, the five wise men have decided to give Shreyas Iyer a go. Considered as one of the best batting units in the modern era, India failed to produce a number four batsman going into the 2019 World Cup and the tour of West Indies now provides the selectors the perfect opportunity to try and solve the issue with an eye on the 2023 World Cup. Also Read – Fast bowler Behrendorff to undergo spinal surgeryWhile the selectors decided to ignore Iyer for the World Cup, the ploy of experimenting at that position flopped. Coming into the Windies series, it was always going to be a competition between Shubman Gill and Shreyas Iyer for that position. Both the batsmen are currently in the West Indies with the India ‘A’ team and have been among runs. Interestingly, skipper Manish Pandey also hit a century in the series, but he is seen more as a number five or six than a number four in the batting line-up. Also Read – Puducherry on top after 8-wkt win over ChandigarhSpeaking on Gill’s exclusion, Prasad said: “He was given an opportunity when K.L. Rahul was out against New Zealand, he will have to wait for his turn.” Batting coach Sanjay Bangar came under the scanner for failing to produce a number four batsman ahead of the showpiece event despite being with the team for quite some time now. Speaking to IANS, a senior BCCI official said that the constant chopping and changing in the middle-order was something that had hurt the Indian team not just in the World Cup, but over the last couple of seasons. And for Bangar to not be able to find a solution is something that reflects poorly on the coach. “It was a constant struggle,” the official said. “While we are all supportive of the players and they had a good tournament with the exception of this bad day in office (in the semi-final against New Zealand), the support staff’s processes and decision-making will surely be scrutinised thoroughly prior to any decision being taken about their future. “The batting coach must have answers for the number 4 question since it is obvious that it was the team management that was asking for certain players to be included.” The Windies tour will provide Prasad and team a chance to try out youngsters in pivotal positions and ensure that the foundation laid is strong with an eye on the 2023 World Cup.last_img read more

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Automated rough mine road detection

first_imgModular Mining Systems says to respond properly to rough roads, awareness is essential. Operators recognise bad road segments, and they can use an option to indicate such locations via manual input – but this has safety concerns for operators and reliability issues for management. In response to this dilemma, the company has released the Road Roughness module, consisting of a rugged accelerometer that can be installed on any haul truck to solve the detection problem. The accelerometer is an effective, low-maintenance and purpose-built device that reliably detects road conditions without the need for operator input.Continuing with news that could not be included in the published surface haul trucks feature, the company explains, “Some may say that the problem of detecting road conditions has long been solved by payload sensors. However, onboard payload measuring systems are not available on all equipment and few mines have all of their trucks equipped with these systems,” according to Modular. “Though open pits have technology they can use, there are still issues with detection systems. More importantly, few tools exist to adequately respond to detected events.”As with any on-board sensor, a fleet and/or maintenance management system is also required to transform sensor readings into meaningful events and to assign resources that can address the problem. The Dispatch system’s Auxiliary Task module, for example, provides a production cycle for auxiliary equipment that differentiates the time to ‘travel to a workplace’ from the time spent ‘performing work’. A Road Work task type can be assigned to graders and/or other road dressing equipment, which appears in a schedule with the equipment’s other tasks. Dispatchers, shift supervisors, and upper level management can allocate tasks based on priority, considering the travel distance of each grader before assigning the work.Providing auxiliary operators with on-board software tools is critical to improving response time. Work performed by auxiliary equipment is different in nature from haulage. Auxiliary work should be managed holistically – there are many factors to consider before a grader operator is assigned to fix a detected rough road section. Technical details, such as the size of the job, location, travel time, and estimated repair time need to be evaluated. Higher level perspectives of all the work required by that machine should be considered, such as the possibility that an operator might need to operate another piece of equipment in that same shift. The right dispatching technology should provide equipment operators and other personnel with the means to account for all of these factors, and the ability to address them in real time.Closing the loop in rough road detection using automated technology, without increasing manpower requirements, requires a substantial IT infrastructure: sensors on haul trucks, fleet management hardware on auxiliary units, wireless communication networks, and experienced control room staff. Most importantly, all software and hardware systems must be architected to work together. This list of requirements may seem high, but by leveraging the investment already made in a fleet management system, such as Modular’s Dispatch system, real productivity gains can be realised with relatively small additional investment. Integrated solutions can address complex problems like haul road maintenance, smoothing the way to increased production.last_img read more

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