To speed up its digital moulting, SNCF focuses on industrial Internet. Today, 400 employees of the transport group work on some fifty IoT projects at different stages of development. With the Internet of objects, the group intends to improve the security of its network, the quality of its service and generate significant productivity gains. Here's how.
SNCF places its sights on the Internet of objects. "In our company, IoT is the main lever for performance and efficiency. The true technological revolution is the IoT," said Thursday, May 18, 2017, Guillaume Pepy, the president of the group, at a press conference devoted to the digital transformation of the company, to which the group will spend an additional 900 million euros over the next three years.
400 people dedicated to IoT
"Today, 400 people at the SNCF are working in the IoT, representing 50 teams in different departments of the group," said Benoît Tiers, CEO of e-SNCF, a new entity of the group bringing together the 4,000 employees dedicated to digital and information systems. Today, SNCF counts five industrial Internet projects in the industrialization phase, 12 in pre-industrialization and 30 in the experimental phase. "And 11 of our technocentres are engaged in the transformation of the plant of the future," adds Benoît Tiers.
Of the five IoT projects in the industrialization phase, one finds in particular a system of connected coupons which makes it possible to replace the mercury thermometers. "Before we manually retrieved the data by touring the hot channels during summer, we are now able to measure the temperature remotely with the deployment of 500 connected coupons, which improves the punctuality of our trains, as we reduce their speed only on the portion where the sensors send an alert to indicate that the temperature is above 45 degrees, "explains Claude Solard, Deputy General Manager Security, Innovation & Industrial Performance at SNCF Network.
Combine data to accelerate predictive maintenance
Another example is the deployment of ground cameras to monitor the state of health of pantographs, which are connected to the catenaries and which allow running of the trains. "This equipment falls down very badly but when there is one, it is a disaster, so we carried out periodic checks," explains Claude Solard. The challenge here is to go through a logic of predictive maintenance. The cameras are thus connected and carry self-learning image processing software capable of detecting tiny defects. The system was developed by the start-up GST, based in Dijon. "Six stations have been equipped with these cameras and SNCF Réseau plans to deploy 40 of them by mid-2018," Claude Solard said.
The acceleration of predictive maintenance operations will depend to a large extent on the SNCF's ability to cross its data from a variety of sources. Today, the company works on data from connected objects, employee smartphones or measuring trains, but these data are located in silos. The crossing of this information should enable the teams to move from a descriptive model to a prescriptive model. "We want to be able to predict where we need to intervene and what is the best intervention to achieve, whether it is maintenance or regeneration," explains Benoît Tiers.
Each day, more than 10 millions of people, travelers and visitors, cross the SNCF station platforms. Interactive kiosks, travel information systems but also management and maintenance of stations and reams...SNCF bets more than ever on the digital strategy. At first to optimize the movements of the travelers in station, so to offer them the best services while maximizing the generated sales. The project, named Magnolia, aims at understanding better the flows of about two billions of travelers passing in transit every year, by 3 029 stations, by studying the connexions with other means of transportation (taxi, buses, self service bikes,..).
Thanks to the data generated by courses visitors in stations, the SNCF(FRENCH NATIONAL RAILWAY COMPANY) can also know if the traveler passes by businesses or if he goes directly towards the exit.
The SNCF put also on Big Data to set up an effective preventive maintenance. A real challenge for the suburban parisian trains: it is not only about a remote diagnostic of the breakdowns, but also to predict them each 30 minutes.
Data, which yesterday, were analyzed in a manual way to identify the technical problems and to activate the operations of maintenance, will be automated tomorrow, thanks to a real time vision of the global state of the material.
The system, which should be functional at the end of this year, uses an engine of predictive analysis (Machine learning), led to learn the scenarios of failure of trains by crossing the data of functioning and those of the exploitation.
Bus, subway, train, RER, tram …Today, we consider that a person spends an average time of 53 hours of his life per year in transportation. This figure should increase exponentially before 2050 to achieve 106 hours per year.
New technologies follow us in all our travels: geolocation by mobile phone, systems of computer ticketing, of maintenance … The slightest data is recorded: the entrances and exit of travelers, the incidents, the delays … The flow of information is tremendous and infinite. The user himself is an endless source of data, at the same time consumer and ressource of Big Data.
Still it is necessary to run all these data to analyze them. It is the aim of Big Data: make significant the mass of the collected data.
Big Data becomes a real asset for the actors in charge of transportation today: it offers in real time a dynamic display of transport networks. From now on, we can evaluate the performance of an operating system, analyze the behavior of the travelers, understand the evolution of flows, appreciate the impact of the changes of services and the operations of maintenance, and specify the high-risk of accidents zones, the nodes of traffic congestion …
Analyzed, these data are going to help the operator to optimize his tool and so to improve the customer experience. Big Data becomes then a real asset for all the projects of Smart Transports for which the objective is to decrease the deadlines and the costs of the means of transportation by making them intelligent and autonomous.
The figures speak for themselves : today, 54 % of the population live in urban area. In 2050, more than 65 % of the world’s population will live in towns. Therefore, urban issues will be equally amplified : cities will have to answer the questions of mobility, energetics efficiency, urban sprawl, quality of life.
The increasing digitalization of all the activities makes cities act as data provider sources. Transportation, energy, interactions, trade, all these flows generate enormous mass of information. The technological progress, the usage of the smartphone for daily uses, the strong rising of the social networks, and, more recently, the collaborative consumption, the explosive increase in consumption of digital services, opens quickly the path to smart cities.
Smart City, thanks to Big Data, aims to be a relevant answer to the new challenges facing urbanization. The collection of tremendous amount of data continuously generated by the sensors, the internal services of the city, the urban operators, the companies of the territory and the citizens, will improve the services provided to the population. The inhabitants become themselves a source of information feedback which is going to help cities to optimize even more their services.
Like Copenhagen, key model of smart cities, which started a vast ultra-connected environmental program: intelligent trash cans, measurement tools for the air quality, smart parking lot, connected lamps …
Data is everywhere especially in E-commerce. Big Data is now a tremendous springboard to personalize the customer relationship.
Amazon is the first one which has invested in Big Data. The IT colossus and the associated services have considerably changed the environment of the French distribution but also at a worlwide level too : considering the prices competition, the Internet trafic, the customer behavior, the supply chain optimization …Amazon is the undisputed leader in the dynamic pricing gestion and the supply chain.
Essential basis for the new predictive marketing, Big Data has become a formidable weapon for competition. Far more than a targeting advertisement, new technologies allow the implementation of real time actions : we can today anticipate customer’s needs and push to them relevant offers suitted to their profile. Structured data (user behavior, ordering history,registration form) but also non structured ones (web analytics, social networks), are so many data that enable you to have a global 360° customer vision. But, in order to be effective, such new strategies of customer retention have to be quick because client needs and wishes are changing regularly.
In the heart of this international customer on line experience management, the british start-up Qubit has raised fundings for 40 M of $ to optimise its solutions of data analysis connected to the customer experience for e storekeepers.
In a report given to the Prime Minister on Tuesday, April 18, PS Maine-et-Loire MP Luc Belot draws attention to the risks and stakes of the smart city, knowing that the digital boom requires reforming local governance .
"The use of technologies does not in itself create a smart city," warns Luc Belot (MP), who is carrying a mission on the smart city that the government entrusted to him in November 2016. In his report "From Smart City to a Territory of Intelligence (s) "on Tuesday, April 18, sent to Prime Minister Bernard Cazeneuve, the elected Maine-et-Loire draws the attention of the territories on the stakes and potential risks of the smart city.
Already, traditionally prone to technology to develop their public services, local authorities are invited to go beyond their organization by business. "The smart city calls for an open, cross-sectional approach of the city," says Luc Belot. Even with mobility, there is often a car park manager who favors the use of the car while the public transport operator encourages not to use it; They are both public service delegation (concessions), "he observes.
The elected official thus advocates the establishment within each community of a governance structure involving the elected representatives, the various departments of the local administration and even the economic actors. Because with the development of digital, new private actors develop an offer of urban services.
Governance at the inter-municipal level
"Beginning discussions and collaborations with all the players in the city, and especially the major digital players, is essential to ensure better complementarity between public and private offerings," says Luc Belot, who considers it necessary to establish this governance At the intercommunal level. To deny this complementarity does not favor an improvement of the services offered to the inhabitants. And limits the ability of local authorities to develop public policy. "
Navigation systems providing real-time traffic data, such as the one proposed by Waze, does not include, for example, community constraints in their route optimization system. Working with such an actor would allow for it to take into account the need to avoid the paved traffic areas and certain streets with schools, hospitals.
Some communities have already begun to implement this requirement, as has Grenoble, which has set up an open data steering committee, or Rennes Metropole, which has launched a catalog of open data since 2010, The environment, transport, culture, town planning, housing, everyday life, etc.
Blockchain, artificial intelligence, security, partnership with FinTechs ... The banks are working on their digital transformation. However, the risk of uberization does not seem to be the sting of these great maneuvers. Testimony of HSBC France.
"Energize the company without dynamiting the existing".
Future of IT: Bank and insurance are well equipped to take full advantage of Big Data: data, their servers are full of them ... Improved responsiveness, customer loyalty, customization of offers, Fraud ... What concrete benefits can be derived?
The banking and insurance sectors will not be the poor parents of Big Data. According to an IDC study, French companies could benefit from an "additional value potential" of 54 billion euros in 4 years, and the financial sector could benefit from 20% of this windfall (second step of the podium, Behind industry, 24%, and telecoms, 15%).
It is true that the financial sector, by its very digitized nature, is destined to benefit to the maximum from this phenomenon, and the benefits that can be derived from these two Big Data sectors are multiple.
Generate additional revenue and ... detect fraud
Future of IT: Investment bank Goldman Sachs will appoint its CIO as Deputy CFO. Incongruity? No, a simple consequence of the computerization of the bank's trades. With automation, many jobs are being trapped.
Goldman Sachs' new digitized consumer loan platform, named Marcus, whose goal is to consolidate credit card balances, is another example of the magnitude of the automation work. Software, without human intervention says Marty Chavez. The project started just twelve months ago in the manner of a startup, he explains, housed in a space left empty by the 600 traders who left the company.
By Guillaume Sierries, on zdnet - February 7th 2017
These three industrial groups have decided to launch themselves on a large scale in the IoT. From dozens of sensors for dunces to several thousand for good students.
Entrepreneurs of the Internet of the objects have an eye on the energy companies and the giants of the world of transport, whose infrastructures are spread all over the territory. Signing a contract with Engie, SNCF or RTE allows these internet start-ups to demonstrate the efficiency of their intelligent devices. Like Intesens, Hikob and Ubiant, many start-ups now present these groups as their partners and even their customers. But behind this communication lie different stages of deployment of sensors, ranging from proof of concept (POC) to industrialization.
For example, the electricity transport specialist RTE does not yet have an IoT plan. It conducts tests as part of a development research project formalized in June 2015, the budget of which is barely a few hundred thousand euros. In particular, the group seeks to exploit its network more efficiently thanks to connected objects, in order to install new high-voltage lines and new substations only when absolutely necessary.
When they carry electricity, the high voltage cables heat up, causing the metal to expand. The electrical wires relax and move closer to the ground. The outside temperature, wind and solar radiation influence this phenomenon. In order to avoid accidents, RTE has less current in its lines during the summer when it is hot, so that they do not create short circuits with vehicles running on roads, for example. But by using connected objects capable of sending data to it in real time, this EDF subsidiary could orchestrate electricity flows with much more finesse than simply based on seasonal average temperatures.
RTE has been operating for two years the sensors developed by Ampacimon, founded in 2008 and based in Belgium. This solution has already proved its worth on the Belgian electricity grid. "But its current price limits the deployment possibilities and it does not allow us to keep 100% control of our data. As part of our new research project, we are currently testing alternative devices in the Lot-et-Garonne department. -Garonne with four start-ups and tricolor SMEs, "explains François-Xavier Sardou, project manager R & D at RTE, met at the end of September 2016 Innovation Days organized in the suburbs of Toulouse by IoT Valley.
The group is still only in proof of concept phase. For example, the young Intesens, created in 2009, installed ten inclinometers (which make it possible to measure the level of inclination of a cable) and temperature sensors on RTE high voltage lines located in Agen. "We are testing a total of about ten different devices, but we may only use two or three of them on our network. Many questions remain unanswered, including the cost of maintaining these tools and cybersecurity" , Underlines François-Xavier Sardou. The company wants to be certain that these connected objects will bring a quick return on investment and operational gains on several of its business lines before extending the process.
For the moment, RTE has not planned mass deployment of IoT on a specific date. "But if these POCs, which should end at the end of 2017, are conclusive, we should deploy these sensors on all of our infrastructure," says the project manager. Beware, it is not guaranteed that the group works with the start-ups who are currently carrying out these tests. "In order for the procedure to be fair, we will take care not to reproduce in the specifications the user manual of the sensors of the young shoots with which we have already collaborated", assures "He said.
For its part, SNCF has reached a more advanced stage of deployment. "We want to leave the POC. 2017 will be the year of industrialization of the Internet of objects," says Emmanuel Cox, director of the IoT program of the railway group. The process was quick. The company began to take an interest in the sector in early 2016. In April it announced a plan for deploying sensors across its entire infrastructure, covering 50,000 kilometers of track, 40,000 technical centers, switches, but also in all its stations and its oars. In this context, more than 300 million euros of investments are planned in three years announced the president of the management board Guillaume Pepy.
"We have launched a dozen major projects, such as installing sensors capable of verifying that the elevators and escalators in our stations are functioning, in order to promptly notify the technicians in case of a problem.These connected objects have already been tested and approved. "In the next two years, we will have deployed these small devices in all our stations," explains Emmanuel Cox, also met at the Innovation Days.
In the summer of 2017, SNCF will also have between 300 and 500 temperature sensors manufactured by Intesens on the tracks of its trains, in order to avoid railway disasters like the one that occurred in October 2014 in Brétigny-sur -Orge. Industrialization is planned by the end of 2018. The group also connects the toilets of its TGV trains, in order to check the level of filling of their water tanks. When more than three trains are dry, the train is obliged to stop for replenishment. If the intelligent devices carry out these analyzes in real time and warn the flight attendants, they can be recharged during station stops. "Some fifty trainsets will be equipped at the end of 2016. All of our TGVs will be paired in 2017", summarizes the director IoT.
The energy company Engie wants to connect in a short time all its industrial assets, "entrusted to the JDN Yves Le Gélard, deputy general manager, CDO and DSI of the group last June. For example, it has deployed 4,000 temperature sensors on its gas and electric meters in partnership with its subsidiary specialized in energy efficiency Engie Cofely.
"We initially realized a POC with 300 sensors out of ten Parisian buildings in order to validate the solution. We are in the process of industrializing the process. We have signed a partnership with the IoT operator Sigfox which will carry the data of 15 000 of our connected objects in three years, "says Christian Faucon, IoT manager at Engie Cofely. The company's fleet of smart devices is expected to surpass 100,000 units within five years. In September, Engie became a partner of the IoT Valley of Labège, an association bringing together start-ups and large groups to which it provides financing.
This industrialization has a significant cost, which Engie has taken into account in its calculations: "These connected probes should have a lifetime of five to eight years, after which they will have to be replaced. Maintenance of six euros per year per object, to which is added the price of the subscription for the transfer of data (which is not public, editor's note), "explains Christian Faucon.
source: http://linkis.com/www.journaldunet.com/lpSQ2 by Leila de Matharel, JDN - October 11th 2016