IoT & Connectivity Tips

This project is developed out of curiosity of how ThingWorx communicates with sensors and vice versa. Immediately a Smart Parking system idea struck to our mind and I started working on it. While heading from home to office I always worry about car parking space in office especially in rainy season. This project will help user in getting parking space.This project has 4 sections as follows,1) Smart Parking system:A system application developed in ThingWorx guides user to find empty car parking space. Sensors placed at each car parking slot senses the presence of car. A program running on Raspberry Pi board collects sensor information and sends that information to the Smart Car Parking System application in ThingWorx. The data received through sensor is displayed on ThingWorx dashboard/mashup.2) Live Traffic:This inherits a Google Map and shows the traffic around user's current location.3) Traffic Blog:If user is visiting a place and have questions regarding parking, traffic condition e

The following code snippet will retrieve a months worth of data from the system and return it as a CSV document suitable for import into your spreadsheet or reporting tool of choice.import static com.axeda.sdk.v2.dsl.Bridges.*import com.axeda.drm.sdk.Contextimport com.axeda.common.sdk.id.Identifierimport com.axeda.services.v2.*import com.axeda.sdk.v2.exception.*def ac = new AuditCriteria()ac.fromDate = Date.parse('yyyy-MM-dd', '2017-03-01')ac.toDate   = Date.parse('yyyy-MM-dd', '2017-03-31')def retString = ''tcount = 0while ( (results = auditBridge.find(ac)) != null  && tcount < results .totalCount) {  results.audits.each { res ->    retString += "${res?.user?.id},${res?.asset?.serialNumber},${res?.category},${res.message},${res.date}\n"    tcount++  }  ac.pageNumber = ac.pageNumber + 1}return retString

If your mashups are feeling cramped and crowded, we’ve got some good news for you. Coming in our next release, ThingWorx will offer truly responsive layouts for your mashups, allowing you to adjust the size of your viewport or present a mashup on a variety of displays—laptop, tablet, phone, etc.—without compromising presentation or responsiveness. This new layout capability is based on Flexbox. Check out this article to learn more.   Here’s a sneak peek of our new layout editor. It’s still in development, but I hope you can start to see how you can use this in your UI development.   Sneak Peek: Responsive Mashup Layout Notice the ability to split the layout into containers. Each of the containers allows you to horizontally or vertically layout, distribute from left or right, align from top or bottom, justify space between widgets, etc. This gives you as the developer ultimate control to define the responsiveness of the mashup.   Like what you see? Any feed

Several times in the past few months I was hit by a quick need to extract some data about Assets for a customer, and find myself continually hand-writing the code to do so.  Rather than repeat myself any more, I figure I can share my work - maybe PTC customers can benefit from the same effort.    import static com.axeda.sdk.v2.dsl.Bridges.* import com.axeda.drm.sdk.Context import com.axeda.common.sdk.id.Identifier import com.axeda.services.v2.* import com.axeda.sdk.v2.exception.* def retStr = "Device and Location Data\n" def modellist = [:] ModelCriteria mc = new ModelCriteria() mc.modelNumber = "*" tcount = 0 def mresults = modelBridge.find(mc) while ( (mresults = modelBridge.find(mc)) != null && tcount < mresults .totalCount) { mresults.models.each { res -> modellist[res.systemId] = res.modelNumber tcount++ } mc.pageNumber = mc.pageNumber + 1 } locationList = [:] LocationCriteria lc = new LocationCriteria() lc.name = "*" tcount = 0 def lresults

Original Post Date:            September 30, 2016   Description: This tutorial video will walk you through the installation process for the PostgreSQL-based version of the ThingWorx Platform (7.2) in a RHEL environment.  All required software components will be covered in this video.    

Meet Neal. When Neal joined PTC five years ago, he immediately hit the ground running on IoT initiatives, working in multiple areas ranging from pre-sales to partner relations. Today, he is a Worldwide ThingWorx Center of Excellence Principal Lead at PTC, and his biggest focus is supporting the go-to-market for the Microsoft partnership.   I sat down with Neal recently to hear the details on exactly how Azure and ThingWorx can be used to develop world-class IIoT applications.   Kaya: Can you explain how Azure and ThingWorx work together? Neal: Yes, so Azure provides the cloud infrastructure that our customers need in order to deploy ThingWorx.   By having Azure as our preferred cloud platform, we’re able to specialize our R&D efforts into utilizing functionality that is available in Azure, rather than having to reinvent the wheel ourselves for each cloud platform in the attempt to remain cloud-agnostic. By leveraging a single, already quite powerful, cloud platform t

Just like the perfect sandwich, we know that you have specific preferences and requirements for your ThingWorx deployment. Whether you like to keep things simple with a classic grilled cheese or you like to spice things up with a more elaborate chipotle mayo BLT, we’ve got you covered. Our ThingWorx Deployment Architecture Guide explains what you’ll need to deploy ThingWorx in three different scenarios: production, enterprise and high-availability (pictured below).  Deployment Architecture for ThingWorx on Azure in High-AvailabilityWe’ve recently published Version 1.1 of the ThingWorx Deployment Architecture Guide. In it, you can find updated deployment architecture diagrams to more distinctly show the data and application layers within a ThingWorx environment. Our team has also added a new section on what you’ll need to deploy ThingWorx on Microsoft Azure, PTC’s preferred cloud platform.   Check it out here or in the attachment section on the right.   Stay connecte

I got this excellent question and I thought it worthwhile to put my answer here as well.   There are two ways to segregate information between clients. By default we use a ‘software’ approach to segregation by using Organizations. This allows you to designate a Client to an Organization/Organizational nodes and give those nodes ‘visibility’ to specific entities within the software. This will mean that ‘through software logic’ users can only see what they’ve been given visibility to see. This mainly applies to all the client’s equipment (Thingworx Things). They can only see their own equipment. This would also apply to a specific set of their data which is ValueStream data because that can only be retrieved from the perspective of a Thingworx Thing   Blog/Wiki/DataTable/Streams can store data across clients and do not utilize visibility on a row basis, in this case appropriate queries would need to be created to allow retrieval for only a specific client. In this case we use a

Error: Failed to load SQL Modules into database Cluster.This error is usually seen during initializing the database cluster phase (in the setup as shown below).To resolve this issue, follow below steps:Create a PostgreSQL data folder before you start the installation (c:\postgres-data) and give full control for the user.Select the newly created data directory during the setup.After the successful installation, you can follow the remaining procedure for configuring it with ThingWorx from the respective installation document.

I had a better example, this is my original example ... If I find the other one I'll upload that as well.

A confusion matrix is a technique for summarizing the performance of a classification algorithm. Classification accuracy alone can be misleading if you have an unequal number of observations in each class or if you have more than two classes in your data set. Calculating a confusion matrix can give you a better idea of what your classification model is getting right and what types of errors it is making.Classification Accuracy and its Limitations:​Classification Accuracy = Correct Predictions/Total PredictionsThe main problem with classification accuracy is that it hides the detail you need to better understand the performance of your classification model. Below are two examples:1.  When you are data has more than 2 classes. With 3 or more classes you may get a classification accuracy of 80%, but you don’t know if that is because all classes are being predicted equally well or whether one or two classes are being neglected by the model.2.  When your data does not have an even

GOBOT Framework GOBOT is a framework written in Go programming language. Useful for connecting robotic components, variety of hardware & IoT devices.   Framework consists of Robots -> Virtual entity representing rover, drones, sensors etc. Adaptors -> Allows connectivity to the hardware e.g. connection to Arduino is done using Firmata Adaptor, defining how to talk to it Drivers -> Defines specific functionality to support on specific hardware devices e.g. buttons, sensors, etc. API -> Provides RESTful API to query Robot status There are additional core features of the framework that I recommend having a look esp. Events, Commands allowing Subscribing / Publishing events to the device for more refer to the doc There's already a long list of Platforms for which the drivers and adaptors are available. For this blog I will be working with Arduino + Garmin LidarLite v3. There are cheaper versions available for distance measurement, however if you are looking for high

ThingWorx is great for storing large amounts of data coming from your devices but it can also be used like a traditional, row based database for information you would like to integrate with your thing data. Attached to this blog entry is a short example of creating an address book database using a DataTable and a DataShape. It does not focus on creating mashups but sticks with discussing the modeling and service calls you would use to create a simple database.

Prerequisite Install Go Install VSCode or desired IDE to write Go code, e.g. GoLand (commercial license required, 30days trial) Install Go extension for VSCode (if you are working with VSCode)   Content Building GET Request Building PUT Request Building POST Request   Building GET Request I'll be using net/http package from Go to perform the GET request to the ThingWorx Server by importing it   import (     "net/http" ) Next, we use the NewRequest() which takes method, URL & body. Since I'm sending a GET request my method will be GET, and the URL to the ThingWorx server & no body so will leave it to nil     url := myurl req, _ := http.NewRequest("GET", url, nil)   We are ignoring the error that NewRequest is returning as its already handled within the NewRequest() for us Use Header to add the request header to be received by the ThingWorx Server, note Header is of type map[string] []string (a key : value pair)    

The use of the term “SSO” means different things to different people. Among Navigate Admins, it became shorthand for using PingFederate to provide both authentication with a single sign-on component, as well as authorization (checking permissions for access to files). In Navigate 1.5, this was the only option for configuring a production system, and many people were not ready for it. That was the origin of the “must have SSO” statement. Beginning with Navigate 1.6, PTC added a scenario called “Windchill Authentication”, that is suitable for Production and uses your Enterprise LDAP to authenticate users. It will issue a token so you get some of the benefits of single sign-on, but not all the bells and whistles that come with PingFederate. It’s also easier to configure. People have begun referring to Windchill Authentication as “non-SSO”, to distinguish it from PingFederate, even though Windchill Authentication has some SSO functions.   In the install manual, there are three scenari

In this session, we pick up where we left off with the mashup which was worked on in part 1 of our Advanced Mashup Expert Session series. Specifically, we will explore the concepts of master mashups, session variables, and media entities, using each to further enhance the look and feel of our mashup.     For full-sized viewing, click on the YouTube link in the player controls. Visit the Online Success Guide to access our Expert Session videos at any time as well as additional information about ThingWorx training and services.

This video builds upon the mashup created in the basic session, and strives to create a more polished, user-friendly interface that is ready for deployment. In part 1, we’ll take a look at advanced layout designs and include a more varied set of widgets to help draw attention to some of the more pertinent properties being captured within the mashup.   For full-sized viewing, click on the YouTube link in the player controls. Visit the Online Success Guide to access our Expert Session videos at any time as well as additional information about ThingWorx training and services.  

Database backups are vital when it comes to ensure data integrity and data safety. PostgreSQL offers simple solutions to generate backups of the existing ThingWorx database instance and recover them when needed.   Please note that this does not replace a proper and well-defined disaster recovery plan. Export and Import are part of this strategy, but are not reflecting the complete strategy. The commands used in this post are for Windows, but can be adjusted to work on Linux-based systems as well.   Backup   To create a Backup, the export / dump functionality of PostgreSQL can be used.     pg_dump -U postgres -C thingworx > thingworxDump.sql     The -C option will include the statement to create the database in the .sql file and map it to the existing tablespace and user (e.g. 'thingworx' and 'twadmin'). The tablespace and user can be seen in the .sql file in the line with "ALTER DATABASE <dbname> OWNER TO <user>;"   In the abo

User Localization vs. Browser LocalizationLocalization in ThingWorx is mainly based on Localization Tables and tokens which are used as a placeholder for the actual word / phrase in a particular language.There's a blog at https://community.thingworx.com/community/developers/blog/2016/08/15/managing-and-using-localization-in-thingworx which is explaining in-application localization in detail.Language preferences are however only considered by the user's settings.For the organization login pages at http://<server>/Thingworx/FormLogin/<organizationName> there's no defined user yet. As the user has not logged in yet, ThingWorx will have no user preferences to identify the need for a specific language.Instead the browser language is used.The login / password-reset page is constructed at runtime via .jsp templates.Via JavaScript the browser language is detected and language specific configuration files are considered.When such a configuration file is present, its tokens will be u

The purpose of this document is to see how you can setup an MXChip IoT DevKit and also how send the readings of this microprocessor to ThingWorx through an Azure cloud server. You will also learn how to view the values that are being sent.

Fresh look at getting started with ThingWorx in a relevant context that outlines the DEVOPS needed to kick-start your programming.     For full-sized viewing, click on the YouTube link in the player controls. Visit the Online Success Guide to access our Expert Session videos at any time as well as additional information about ThingWorx training and services.

The following code is best practice when creating any "entity" in Thingworx service script.  When a new entity is created (like a Thing) it will be loaded into the JVM memory immediately, but is not committed to disk until a transaction (service) successfully completes.  For this reason ALL code in a service must be in a try/catch block to handle exceptions.  In order to rollback the create call the catch must call a delete for any entity created.  In line comments give further detail.     try {     var params = {         name: "NewThingName",         description: "This Is A New Thing",         thingTemplateName: "GenericThing"     };     Resources["EntityServices"].CreateThing(params);    // Always enable and restart a new thing to make it active on the Platform     Things["NewThingN

IntroductionThe Edge MicroServer (EMS) and Lua Script Resource (LSR) are Edge software that can be used to connect remote devices to the ThingWorx platform. Using a Gateway is beneficial because, this will allow you to run one instance of the EMS on a server and then many instances of the LSR on different devices all over the world. All communication to the platform will be handled by this one EMS Gateway server. The EMS Gateway can be set up in two different types of scenarios: Self-Identifying Remote Things and Explicitly defined Remote Things​.The scenario I'm going to discuss below will involve explicitly defined Remote Things, a ThingWorx server, an EMS, and a LSR. We will need at least 1 server to run the ThingWorx platform and EMS, but these can always be on separate servers as well. We will also need some other machine or device that will run the LSR.Visit the support downloads page to find the latest EMS releases. The LSR is contained within the EMS download.You can also navig

Help Center link on how to control file transfers from the edge client using the EdgeControlled ThingShape.   The EdgeControlled ThingShape is a default entity included with ThingWorx that allows you to manage the amount of egress being sent from the platform to the Edge.   At the time of writing this post, the available 'When Disconnected' settings for a remotely bound property in ThingWorx are 'Fold' and 'Ignore'. Setting a property to 'Fold' while using this EdgeControlled ThingShape is necessary whether the device is connected all the time or only for brief updates.   To use this ThingShape in a real world scenario you might code your edge client to invoke the DequeueEgress REST API function available through this ThingShape. The parameter you pass in is then the number of messages you would like the client to receive. The result of this function is how many messages the platform then actually sent.   A quick setup: 1. Create a RemoteThing entity in ThingWorx 2.

Underneath, video is about ThingWorx Analytics and walks through following functions: Upload a Dataset. Create a Training Model. Create a Scoring Job.