Saturday, May 7, 2016

Railways – Hi – Tech Reforms – Robotic arms to increase coach manufacturing, TGV of France trial in India it used ordinary tracks, Removing punching cards in Railway workshops to id card swipe, Laser equipment to monitor tracks fitted under engine, Big data analytics to get new insight, Installing Anti-Collision device in all engines

Automation leads to increased production. Robotic arms if used in coach manufacturing will lead to increase output compared to existing values. Make one shop floor of Ponamalai Railway workshop, Trichy entirely robotic for making compartments. They are good in diesel engine maintenance and goods cabins making. But automation with robotics will lead to faster output and supplement the ICF & Kapurthala and existing space can be used.
Currently in Railway workshops lathe is used for crafting metal objects to get parts for maintenance and creating engines and compartments. But if the major high utilised lathe is replaced in all workshops with CNC machines the productivity will increase more than 500% as the speed and quality of output is fast. The Railway engineers must feed the data through CAD in computer and the CNC will enable cutting the metals to give perfect objects. Lathe are very outdated technology and should be avoided in future as modernisation of the workshops
All Railway workshops employees must be given smart ID cards with fingerprint to swipe on entry to office and the shop floor to track time worked in office. The swipe must be done once in every 3 hours and those going out of workshop must compulsorily swipe. Currently many workshops don’t verify ID card with smart features. All railway offices must move to ID card swiping mode with finger print scanner.
Automatic braking and power cut of overhead lines must be done if an engine driver skips a signal. Many places it has not been implemented. It wont be much difficult to cut power when a driver skips a signal. The cost of skipping signal is too costly and if drivers miss also the signalling system must be super efficient to cut power and start braking. Even over-speeding can be avoided by marking speed at which trains cross certain points by having speed cams installed in electric poles and if a driver crosses at more than speed limit if not approved for that train. The driver must be informed to reduce speed.
Laser equipment fitted underneath all engines to monitor strength and quality of tracks. A small current voltage passed across all tracks to detect any cracks or breaks and automatically reported to headquarters and station masters. The flood time it will be much helpful. The current flow must be implemented especially in flood/snow prone areas like Cuddalore, TamilNadu, entire North East, J&K, hilly areas like ooty. The current must not cause electric shock to anyone but must be minimum voltage between each station enough to pick by stations and pinged to headquarters. The data must be stored in hardisk and handed over at destination station of train and loaded to centralised system for analysis. The system must have advanced systems to ping data over internet if identifies any issues other general data can be loaded at destination station. IIT & NIT can be used for same. Many companies with knowledge of MTLAB and CAD can help in this R&D initiative. Will help reduce derailment & over-speeding by drivers.
Totally removing overtime concept to reduce unwanted costs for Railways. Railway employees must be tracked for work output during normal working hours. If any shop floor is going to work extra hours or any employee it must be approved by Chief engineer of the floor and chief engineer must explain to railway board if too much over work is charged but work output is only normal. Many workshop employees sleep after lunch hours as less work is assigned to them. Those staff must be moved to new departments and put to work based on age and skillsets. All managers must start making workshop employees to swipe once every 2 hours in device and message to their mobile if they have not swiped to ensure more work output in give time. But initially the basic steps will be issue of smart cards to swipe on entry to work area and exit, and also swipe at gate entrance and exit. Currently in some workshops the card punching concept is present and one staff comes and punches for entire floor. Please give butter milk to railway staff in workshops as the heat is unbearable and also water coolers in all shop floors with service done.
Big data and analytics if implemented with data available with IRCTC over years will help a lot. 1. Finding which is the 1st choice of train for passengers which they click 2. Which is the first choice of passengers for any train choice available 3. What is the seat choice of passengers 4. Lean period when train can be diverted to other demand routes for example a long distance train like Jammu to Kanyakumari may have lean period that time the train can be operated in the lean period in alternate days and then instead be used in different routes 5. Mapping the holiday calendar of the states, offices and nation to find out the peak demand period over years and forecasting future needs. 6. Asking the powerful analytics companies in the world like a) Hadoop based b) Microsoft based SSAS c) Informatica d) IBM Watson analytics to give sessions to top Railway board and IRCTC staff and GM of all divisions to understand power of analytics and places to use in the website. The data in what way can be used and later IRCTC can setup in-house team to use best features and they should use in house team to take up old data of several years to make improvement in operations of Railways. Analytics can be implemented by NTES to analyse time taken by train to cross certain regions. This will help find the clogged routes easily and then decide what facilities and which portions of tracks need to be doubled or quadrupled. The stations before which trains have to stop and wait for platforms can be identified. Stations at which trains unwantedly stop for long time leading to wastage of resources. Stations at which trains need to stop for more time for passengers to get on-board easily. Analytics is very powerful tool to analyse mistakes and correct them and improve efficiency. Those which knowledge of statistics if hired in this team will help frame logics and data which will be useful.
The Konkan railway developed Anti-Collision device has not been installed in all trains and engines and EMU in spite of number of accidents happening. Trial are going for more than decades
TGV of France is capable of going at high speed in normal tracks but why has Railways not invited TGV to do trial runs. No new cost involved as they use existing tracks. Just because PM is close to Japan PM he invited Japanese bullet train but TGV is also very good that too the cost is low since existing tracks can be used. Only the train compartments they need to design and ship to India. I sincerely recommend Railways to work with France and TGV technical team to start trial and at least once set of compartments into train for usage. The TGV concept has very low derailment chance since the wheels of 2 compartments are common at the joining point so that the movement is very easy and wobbling/shaking of coaches is avoided at high speed. https://en.wikipedia.org/wiki/TGV_track_construction and https://en.wikipedia.org/wiki/TGV for your understanding. Please work and discuss with TGV technical team and French Government you are not going to lose anything by discussing & learning new things

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