deZem News

You want to be always up to date about deZem, energy management and energy controlling? Then register for our deZem newsletter.

BETA tests are starting: Dashboards are now optimised for mobile use!

Over the past months, our front-end developers, UX/UI designers and testers have worked hard and no expense nor effort was spared to make our software module deZemBoard a pleasure to use on smartphones as well. We took the chance to integrate many new functions, for example a concise management of notifications and alarms.

Even before the official release, we would like to give our customers and interested parties planning to introduce software for their energy or IoT data management the opportunity to test the mobile dashboards now in the beta version.

We hereby invite you to the Beta-Test!

Are you interested?

Then simply contact us by email or phone.

Flexibly connect LoRaWAN sensors via The Things Network or the IoT platform Element IoT

We have good news for customers who already run a LoRaWAN network or are planning to build one and are still thinking about how to integrate data from the LoRaWAN sensors into our deZem analytics platform.

With version v3.50.1 of the deZemAd software module, it is possible to create and configure LoRaWAN devices collected via the LoRaWAN server The Things Stack (TTS) or Zenner’s IoT platform 'Element IoT' directly in deZemAd.

This innovation should be particularly interesting for municipal utilities. It allows them to use the extensive analysis functions of our deZem analytics platform in addition to their existing system.

You don't have a LoRaWAN network yet, but are interested?

Then contact us. deZem offers a starter kit to discover the LoRaWAN world and helps with the implementation and installation.

We will gladly send you detailed instructions on how to integrate LoRaWAN devices in deZemAd on request.

deZem now supports MQTT protocol

Message Queuing Telemetry Transport, better known as MQTT, has become indispensable in the Internet of Things (IoT) and especially in the Industrial Internet of Things (IIoT). Due to its extreme simplicity, this protocol is ideal for machine-to-machine communication. This is because it reliably transmits data even with low bandwidth and limited networks.

deZem has picked up on this trend and also offers a productive MQTT server. In this way, devices and systems that send and receive their data via the MQTT protocol can now also be integrated into the deZem IoT Suite.

We would be happy to set up a test access to the server for you.

If you are interested, please contact us!


HarvyLR: New self-powered, battery-free LoRaWAN sensor

HarvyLR is a brand new LoRaWAN sensor designed by deZem to detect AC and DC currents. The intelligent event filter integrated in the sensor provides metering series (inrush currents etc.) accurate to the second at a defined maximum rate.
Unlike conventional IoT sensors it does not require any external power supply or any battery at all. That means: No need for complex installation by laying additional cables. Since there isn’t any need to change the battery either, it is completely maintenance-free.

It is used, for example, in factory halls, building complexes or outdoor areas. There, analogue signals of 4–20 mA of corresponding transducers can also be recorded. The sensor can also be used to easily measure RMS currents in AC power supplies (in distributions or directly at the plants). In the latter case, the HarvyLR is simply connected to the appropriate deZem clamp-on current transformer. This already has a suitable plug-in contact. To ensure that the values are immediately available online for further purposes, the HarvyLR sensor is ideally suited for integration on the deZem IoT platform. However, it is also compatible with other platforms.

Configuration and firmware updates can be conveniently performed via Bluetooth.

The IoT sensor HarvyLR is available in two variants:

  • HarvyLR-36: for deZem clamp-on current transformers W15, W80/T80 and W150 (provided that in general the load is below 100 A and 4–20 mA DC input signals)
  • HarvyLR-360: for deZem clamp-on current transformers W300/T300, W500/T500

For more information, see the HarvyLR Data sheet.

HarvyLR IoT-Sensor

Taking advantage of synergies: Asseco Berit & deZem combine their solutions

deZem and Asseco BERIT have joined forces as partners and will henceforth offer their software solutions for energy- and cost-efficient, data-driven asset management.

Asseco BERIT's software solutions are, among other things, an asset register with an integrated geo-information system (GIS), a central instrument for the management of plants and network elements. With Asseco's SAMO solution, assets can be evaluated taking into account master and transaction data – throughout the entire life cycle.

Asseco BERIT's solutions thus offer an ideal complement to deZem's IoT analytics platform. With the connection of buildings, production facilities or operating equipment to the IoT platform, data from the asset is transferred to the deZem IoT analytics platform with one click. This makes real-time data and historical evaluations optimally available. In addition to detailed analyses, dashboarding, alerting, anomaly detection and reporting are possible in a variety of forms.

Learn more about deZem's IoT analytics platform



Interactive process visualisation - custom-made and up to the minute

The deZem sensor landscapes are interactive graphics on the deZem dashboards into which metering points from deZemVis can be integrated. In this way, metered values can be viewed live and for any point in time in the past. Limit violations can be detected immediately by means of colour changes.

Sensor landscapes are zoomable and can be used as versatile process visualisations. With one click you can jump to the individual time histories in deZemVis with more analysis tools. Sensor landscapes are suitable for CHPs (see example on the right) as well as for industrial processes, plants, office buildings and all kinds of process visualisation. We will be happy to create them according to your wishes within a few days.

Your interactive sensor landscape is only one click away!


The LoRaWAN Starter Kit

Receiving signals from previously unreachable locations, reading widely distributed sensors without any problems - all wireless! LoRaWAN has its merits, but getting started is often difficult. What is needed and how is everything set up?

The LoRaWAN starter kit from deZem now offers the solution and takes the hurdle to get started! From countless discussions with customers and our LoRaWAN projects, we know what is really needed to get started: A competent step-by-step introduction to the LoRaWAN topic and a starter kit containing the most important components. We provide advice on site, online via web meetings or by telephone and support you every step of the way to becoming a successful LoRaWAN user.

More information about the LoRaWAN Starterkit


deZem COVID-19 Dashboard

Facts, figures and analyses on COVID-19 up to date with just one click: We import the worldwide COVID-19 case numbers and present them in a deZemBoard [linked]. From there you can perform many interesting analyses yourself. Just call us to get the access data.

For example, the following information can be read directly for Germany (as of 26.5.20):

  • the "degree of contamination" is 0.22 % (Qatar is the highest at 1.66%)
  • the death rate is 4.62% (compared to 6.52% worldwide)

(It is well known that when interpreting the figures one has to take into account the limitations of statistics - testing capacities vary from country to country and nowhere are they sufficient to obtain a reliable number of actual infections).

An informative example is also the time-delayed correlation of reported new infections, recovery and deaths in the scatter plot. Accordingly, for the USA  (status 26.05.2020)

  • the average time between discovery of the infection and recovery is 24 days
  • the average time between discovery and death 4 days
  • the mortality rate, taking into account this 4-day delay, is 6,5%


Get access now

Data analysis à la ISO 50006 - on the fly!

How would you recognize anomalous behaviour of a technical component? For example, because it is misconfigured or broken, or because the meter is faulty? In the deZem Software, this is easy to recognize: If consumption depends on external variables (e.g. outside temperature, output manufactured, flow, air pressure etc.), the target behavior of the component is determined on the basis of a statistical model and compared with reality. 

The modelling method is also known as “Multivariate Regression Analysis”. 

The energy management standards ISO 50001: 2018 and 50006 require the use of statistical modelling or similar methods to "normalize" energy performance indicators. This typically requires the energy manager to spend several days experimenting with Excel. With deZemVis, on the other hand, it is a matter of seconds!

The image shows a heat meter (red curve) that failed between January and March. On the basis of statistical modelling, the deZem software determined the “target curve” (pale corridor) as a function of the outside temperature. The real consumption could be modelled rather precisely! Check the quality of the modeling on the left and right of the diagram, when the thermal measurement is operational.

A final note: our modelling is an excellent tool to determine the general dependencies of a consumption behavior on the individual input variables.

Please contact us for a short live demo via a web meeting!


[Translate to Englisch:]

NEW: Online courses for beginners and professionals

Corona closes some doors and opens new ones in the process. We have taken the opportunity to digitalise the services of our academy and to create a new training concept: Now you can put together your own individual training content! We offer a variety of individual modules of 45 minutes each without a minimum number of participants. We also offer workshops and seminars on special topics. Beyond the basic topics of data acquisition and evaluation, IoT, LoRaWAN and predictive maintenance with AI methods play a rapidly growing role.

Register now for your online training.