=Paper=
{{Paper
|id=Vol-2498/short37
|storemode=property
|title=User requirements for indoor geo-localization system for manufacturing shop floor and selection of appropriate product
|pdfUrl=https://ceur-ws.org/Vol-2498/short37.pdf
|volume=Vol-2498
|authors=Manish Kumar,Kapil Saini,Thierry Roussel
|dblpUrl=https://dblp.org/rec/conf/ipin/KumarSR19
}}
==User requirements for indoor geo-localization system for manufacturing shop floor and selection of appropriate product==
https://ceur-ws.org/Vol-2498/short37.pdf
User Requirements for Indoor Geo-Localization System
for Manufacturing Shop floor and Selection of
Appropriate Product
Dr. Manish Kumar1, Kapil Saini2 and Thierry Roussel3
1 Infosys Limited, Bangalore, India
2 Infosys Limited, Mysore, India
3
Alstom, Bangalore, India
manish.kumar156@infosys.com, kapil_saini01@infosys.com,
thierry.roussel@alstomgroup.com
Abstract. This work is derived from an industrial consultancy work where the
researchers surveyed the market to find most appropriate indoor localization
server for use in digital shop floor initiative at a manufacturing company. Here
we describe requirements of indoor Geo-localization for manufacturing shop
floor. Then we evaluate various technologies to suit the business use cases. Fi-
nally, we provide reasons for selection of Wi-Fi finger printing based open source
Geo-localization server.
Keywords: Indoor Geo-localization Server, Location Tracking, Digital Factory,
Industry 4.0, IOT, Fingerprinting, Wi-Fi based indoor Geo-localization.
1 Introduction
In a connected world where machinery, plant, parts, inventory, vehicles and people are
ever connected, knowing their positions invariably becomes a key business aspect. GPS
devices are commonly used for outdoor localization but sparse availability of GPS sig-
nals in indoor environment poses challenges for its indoor usage. In this study, a man-
ufacturing company with multiple factories and offices around the world wanted to scan
the market to identify a geo-localization server for localizing IOT devices in indoor
environments. Implementation cost and maintenance were to play a vital role in the
solution identification. This market study consisted of three parts
Identifying the business use cases to get an idea of accuracy, latency and scalability
needs.
Understanding available technologies from existing literature.
Selection of appropriate product from the selected technology.
Finally, after evaluating multiple solutions against business needs, one of the Wi-Fi
fingerprinting based open source product was selected. This product, ANYPLACE [1],
was initially developed at University of Cyprus [2]. We implemented a few use cases
2
on the product. In this paper, we present the results of this business study for search of
an appropriate indoor localization server
2 The Business Use Cases
In consultation with experts of Digital Factory following use cases are identified.
2.1 Connected Worker
The Connected Industrial Worker uses field-tested mobile, sensor, asset-tracking, ana-
lytics and wearable technologies to help execute the daily work activities of an indus-
trial or field worker more effectively. In hazardous and large industrial work environ-
ments, the worker would also wear location and hazmat sensors that can monitor, for
example, levels of environmental toxin exposure, as well as the worker’s location.
Fig. 1. Connected Worker
The location of workers can be persisted in a separate data store by the geolocation
application. The monitoring applications to be used by supervisors should get last avail-
able location. Movement of workers should also be available on demand.
Accuracy- 5-10m; Scalability - 5000 wearable devices; Latency- 1-2 seconds
2.2 Connected Parts: part positioning and part tracking
In a manufacturing environment supply chain can be more effective if parts can be
traced at the shop floor. For example- some job cards are generated on daily basis based
on manufacturing planning and scheduling. Some job card may define attaching or fix-
ing of some item/part to another. Before any worker starts the job, the concerned part
should be available on the shop floor near the workplace.
Accuracy- 5-10m; Scalability- 1000 parts; Latency- 1-2 seconds.
2.3 Connected Tools
Connected screw driver, connected portable welding machine, connected fork lifter,
etc., have Wi-Fi and these devices can be detected in a wireless network. If their loca-
tion on the shop floor can be computed and visualized. It can save a lot of time other-
wise spent in locating these items on the shop floor. The supervisor may want to know
location of all forklift trucks or location of all portable welding machines. There may
3
be an application which may automatically check that the tools have come back to their
normal place after the shift.
Accuracy- 2 m; Scalability - 10000 movable tools; Latency- 2-3 seconds
Fig. 2. Connected tools.
2.4 Connected Building
Connected Buildings refers to a kind of office infrastructure where building compo-
nents are connected (wired or wireless) and they report their status through applications
and can be monitored centrally. Office and factories have many fixed devices. They
may share some data regarding their status. Based on the condition/status a person visits
the place for repair, cleaning or for any other maintenance activity. If we can also get
the location of the device on the map, it helps. The location of building connected fixed
devices like CCTV, projectors do not change frequently. Once an hour update might be
enough.
Accuracy- 5-10 m, Scalability- 1000 fixed devices, Latency- Variable
Fig. 3. Connected buildings
2.5 Wrong-place Tracking
Sometimes a person may visit a prohibited area (say, a high voltage yard) or an equip-
ment may be lying at a wrong place. Such incidents should be reported in near real time.
A geo-fence can be defined and tracking can be put in place for IOT enabled devices.
This can ensure movement of such devices in and out of defined fences.
Fig. 4. Wrong place tracking
4
Accuracy- 2-5 m, Scalability- 100 request in an hour. Latency- 1-2 seconds.
2.6 Navigation
There are two aspects to Navigation feature. One, suggesting a route between two lo-
cations and second traversing the route as the object is moving along the route. Navi-
gation is required for a worker to go from place A to place B with or without a vehicle.
Thus navigation will be guiding in nature where a human being will make final deci-
sion. The application should help users through a mapping application and guide to the
desired destination. There are two key elements to this, visibility of origin and destina-
tion locations and the path or route from origin to destination. The navigation function-
ality will need that indoor maps are stored and points of interests and paths can be
marked on it. In online or query phase user will ask for destination and path which
should come from the stored data.
This may need 2 m Accuracy, with 100 requests per hour, while location updates
may be every few milliseconds while on the path.
Fig. 5. Navigation functionality- store map, render path and traverse the path
2.7 Mission Tracking
When someone is going from place A to B then the path and its location should be
tracked on the map. This refers to a series of locations with corresponding timestamps.
The data of the movement can be kept in another database. This need is covered in the
last section of the navigation.
2.8 Lifecycle management
Following items have lifecycle related needs
Fingerprinting lifecycle management.
Crowd sourcing will be a critical feature to manage life cycle of the finger printing
exercise. Fingerprint will change with change of Wi-Fi AP, change in the orientation
of a AP, and change in the direction of antennas of AP.
5
Crowdsourcing will help in increasing the accuracy. Some devices do not move say
doors etc. This may assist to reverse calibrate and update the Wi-Fi fingerprints with
respect to observed data from fixed location of some of the Wi-Fi objects.
Fingerprinting will also provide boundary of dark zones, or no Wi-Fi zones. Pres-
ently users do not know if the access point is not working or it is a dark spot. After
finger printing of entire area, we will know this aspect.
Life cycle of position of Access Points/ direction of Antennas.
Sometimes routers may be replaced and relocated. Sometimes the direction of direc-
tional antennas may be changed. This will affect fingerprint of RSS of access points in
a given area. The method of finger printing or the triangulation algorithm should detect
this and take appropriate corrective action. Some antennas may stop working or their
alignment may also get changed.
2.9 Frequency of localization of an object/ refresh rate
All objects need not be localized at same interval. Some objects which are relatively
fixed, such as doors, door locks may need localization once a day while other objects
like movable tools, connected workers etc. can be localized more frequently say every
5 seconds. While for some services it may be localization on demand, when an appli-
cation sends a request to locate an object, its last known location is sent. Refresh rate
of objects should depend on object type.
2.10 Multi floor support
The localization in buildings will need multi-floor support. The area map should be
converted to Map of points with Latitude and Longitude. Ultimately the application
should provide postman type address.
2.11 Mapping
Mapping is a critical need with Geo-localization. The area map will contain some in-
door and some outdoor points. Outdoor points will have GPS signals. There may be
some Wi-Fi signals also in outdoor areas. The application should work smoothly indoor
and outdoor.
2.12 Intranet of things
The application will not use internet. The cellphone app will use intranet to connect
to Geo-localization server. The IOT Objects will send the data over intranet. Other ap-
plication will also use the service over intranet.
6
2.13 History of locations
The historical data of locations should be kept. This is needed for tracking till the
mission of taking an object from point A to point B is complete. Last known location
of an object is sufficient for most applications, such as location of inventory. But His-
torical information of movement and path may be required later for some kind of anal-
ysis.
The following figure summarizes the important business needs
Fig. 6. Summary of important business needs
3 Wi-Fi Infrastructure at the Manufacturing Company
3.1 Routers
There are approximately 2000 CISCO routers at manufacturing company’s offices and
factories. These are company managed access points. In addition, canteen, labs and
other company offices within the same premises also have their own fixed access points
which can be used for Geo-localization. Portable hotspots, and mobile hotspots should
not be used. Thus the solution should provide selection of access points to be used
where RSS fingerprints from selective access points can be considered and rest can be
disregarded.
Best devices can connect up to 20 Wi-Fi objects for data transfer and can hold up to 50
objects where all are not using data.
3.2 Edge Devices
There are three Wi-Fi controllers in the company. They maintain life cycle of access
points. These controllers control, configure and manage all the access points. All are
CISCO access points in 2.4 G Hz single band and 2.4 and 5.0 G Hz dual band. The
Geo-localization server will be used by all company locations worldwide.
7
4 Comparison of position technologies
There are many technologies available for localization. We studied Bluetooth Low En-
ergy (BLE) technology, passive and active RFID technology, Ultrasound technology,
Earth Magnetic Field, Radio Frequency, Laser Ranging, and Ultra Wide Band (UWB)
Technology. Detailed survey of such technologies is available in [3] [4] Smart phones
based indoor localization is available in [5] Wireless localization is discussed in [6] and
[7]. There are some data sets for testing the algorithms as in [8].
Criteria of comparison should be selected based on intended use. In present case,
accuracy, ability to localize thousands of objects at multiple locations, need for extra
infrastructure and tags, low cost, and ease of maintenance were important.
For localization of parts two options are possible. Either the part has a Wi-Fi tag or
a person with Wi-Fi enabled barcode scanner scans the part and sends Wi-Fi footprint
and barcode to central server. Where part location and barcode both can be stored in
database.
Association of barcode with part type can be done at part or job-card related application
side.
5 Selection of Technology
After due consideration of all the positioning technologies it is observed that, Bluetooth
Low Energy is more accurate but costly as many beacons are needed to cover an area.
While Wi-Fi based methods are least costly as no additional infrastructure is required.
UWB is most accurate but it will need extra infrastructure and can’t be used on cell-
phones.
Accuracy of 2-5 meters is possible with Wi-Fi based fingerprinting techniques. Scal-
ing for 100000 plus devices is possible with parallel architecture. Multi-floor support,
mapping and navigation is possible with Wi-Fi based methods.
Wireless Tech- Range Dedicated Infrastruc- Power Con- Disadvantages
nology ture sumption
Earth Magnetic 5 km No Low signal changes
Field little in small
distance
Wi-Fi 35 m No (for most places) High high variance
signal
Laser Ranging 30 ~ 60 Yes Low Need dedicated
m infrastructure
Bluetooth 10 m Yes Low Cover range is
limited
Ultrasound 20m Yes Low Cover range is
limited
Radio 1m Yes Low Cover range is
Frequency limited
8
6 Discussion and Selection of Product
Three open source initiatives provide Wi-Fi fingerprinting based solutions, Anyplace,
Redpin, and Find3. Out of the three Anyplace has active users and active support group.
After going through all technologies and available products and business needs we
concluded to recommend ANYPLACE open source tool. Scanner can be used to geo-
localize barcoded devices which do not have Wi-Fi sensor. Following was also noticed
during the course of exploring indoor Geo-localization which needs further research.
The Indoor Geolocation problem is a complex research problem which needs more
research [9],
Low cost Wi-Fi based Geo-localization is the only long lasting solution due to its
widespread use and availability across the world in the form of access points and
availability on mobile devices and IOT devices.
New Wi-Fi measurement based techniques are claiming sub meter accuracy [10],
which needs further demonstration and proof.
References
1. "ANYPLACE," [Online]. Available: https://anyplace.cs.ucy.ac.cy/.
2. "DMSL, University of Cyprus," [Online]. Available: https://dmsl.cs.ucy.ac.cy/.
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and navigation systems and technologies," South African Computer Journal, vol. 29, no. 3,
pp. 145-197, 2017.
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IEEE Transactions on Parallel and Distributed Systems, vol. 24, no. 4, 2013.
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computing and networking, Istanbul, Turkey, 2012.
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