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Features

Barcodes and RFID: Use barcodes

and RFID to guide data collectionand prompt you for data entry.

Barcodes and RFID can also be

collected as data values.

Data Collection Grouping:

Data collection items can be

arranged in groups or hierarchies

to reect your facility, work areas,

equipment, building layout, etc.

Easy Confguration: PI ML data

collection denitions can be

imported or exported as XML les

which makes creating and editing

them easier.

Task Instructions: While collecting

data you can display instructions

as text or use hyperlinks to show

standard operating procedures

(SOP), equipment images, web

pages, etc.

Data Validation During Data Entry:

PI ML performs automatic data

validation for HiHi, High, Low, LoLo

and Delta limit checks. When limit

violations occur, customizable

alert messages are displayed

prompting you for optional

comments.

Submit and Approve Workow:

Manually entered data can be

submitted for review and approvalprior to being uploaded to the

PI System.

Collect Multiple Values for Each

Item: With PI ML, more than one

value can be collected for an

item, for example: as found/as

left entries, instrument calibration

readings, etc.

Business Challenge

Manually collected data such as operator rounds, plant surveillance and eld

inspections contain valuable process and equipment information. Often, these

data are collected using paper-based methods which can be difcult to use and

manage. PI Manual Logger (PI ML) provides a secure and scalable solution to

record such data using PCs and hand held devices. Manually entered data can

then be validated, uploaded to the PI Server and fully leveraged by the

PI System just like any other PI System data.

Overview

PI ML has many features to support manual input data collection, including:

Flexible Scheduling: Data collection schedules such as hourly, daily, weekl

monthly and yearly can be congured so you can collect data when

needed, for example collect Chiller Compressor log every Tuesday at 10:0

a.m.

Confgurable Templates: Text entries such as failure codes, comments and

pick-lists can be pre-congured to make data entry faster and easier.

Lab Results: Lab values can be time-stamped with the time when the samp

was collected.

Multi-user Support: A single data entry task can be accessed by different

users from separate networked PCs to allow lab results entry or to allow dat

review by supervisors who are not located near the data collection site.

Support for Future Data: With PI ML, future data collected as part of norma

data entry is automatically queued for sending to the PI System.

Operator Presence Confrmation: Barcode scans can be veried and logge

prior to data entry in the eld. This feature is available on select hardware.

PI ML data entry screen on a Windows Mobile device (left) and a PC (right); limit

violations are indicated by yellow or red shading.

PI Manual Logger

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Copyr ight 2012 OSIsof t, LLC | 777 Dav is Street, San Lea ndro, CA 94577 | www.osisoft.com

All companies, products and brands mentioned are trademarks of thei r respective trademark owners.

About OSIsoft, LLC

OSIsoft (www.osisoft.com) delivers the PI System, the industry standard in

enterprise infrastructure, for management of real-time data and events.

With installations in 110 countries spanning the globe, the PI System is used in

manufacturing, energy, utilities, l ife sciences, data centers, facili ties and the

process industries. This global installed base relies upon the PI System to safegua

data and deliver enterprise-wide visibility into operational, manufacturingand business data. The PI System enables users to manage assets, mitigate

risks, comply with regulations, improve processes, drive innovation, make

business decisions in real-time and to identify competitive business and market

opportunities. Founded in 1980, OSIsoft is headquartered in San Leandro,

California, with operations worldwide and is privately held.

DSMLEN-

Features Continued

Conditional Data Entry: Use

conditional expressions to specify

when an item is due for collection.

For example, if the temperature

is below freezing then record the

valve position.

Ad Hoc Data Entry: Using PI MLs

ad hoc mode, eld operators

can collect any data at any time,

regardless of whether or not it is

due for collection.

Security: Digital ink signatures can

be associated with each PI ML

value or comment.

Audit Trail: PI ML can automatically

log all important changes to data

collection congurations and data

entries.

Disconnected Data Collection:

Using PCs and mobile devices,

manual data can be collected

while disconnected from the

PI Server and later sent to the

PI Server via a wired connection

or wirelessly using the built-in PI ML

web services.

Multiple Hardware Options:

PI ML can be used with PCs, tabletdevices and handheld devices,

including those with barcode

scanners and RFID readers.

PI ML data, shown above in a browser using PI WebParts, includes 7-day collection

history and a trend. The readings and the trend dynamically update based on the item

selected in the hierarchy.

(Left) Windows Mobile handheld device.

(Center) Wi-Fi enabled Windows Mobile

device with barcode scanner.(Right) Wireless enabled MicrosoftWindows

Tablet PC.

Disclaimer: OSI soft, LLC does not endorse any device,

manufacturer or vendor; images shown are for

illustration purposes only.

Benefts

PI ML can provide many benets to your organization, including:

Greater Field Workforce Productivity: PI ML helps you save valuable time

during data collection with features like barcode scan navigation and jus

in-time task instructions.

A More Complete Operational Picture: With the PI System, manually

collected data is seamlessly available alongside automatically collected

data (i.e. instrument data collected via PI System interfaces) providing you

with a complete operational picture.

Integrated Analysis: Field collected equipment and process/lab data

can be easily integrated with enterprise systems such as SAP and IBM

Maximo.

Lower Cost Data Collection: PI ML provides an inexpensive way to collect la

data for the PI System. It can also be used to gather data for performance

comparisons such as data from pilot runs, new or overhauled equipment

start-ups, etc. This allows you to compare routine production runs to

benchmarked performance.