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MEMOBASE Memobase Pro CZL81 sensor management software

MEMOBASE Memobase Pro CZL81 sensor management software
Memobase Pro CZL81 sensor management software
Endress+Hauser MEMOBASE
CZL81 node-locked license software supporting archiving, reporting and monitoring of Memosens digital sensors

CZL81 node-locked license software for archiving, reporting and monitoring of Memosens digital sensors

Benefits

  • Digital, traceable sensor life cycle: data can be exported and measured, calibrated and adjusted values can be reported, reducing manual work in the field and laboratory and providing reliable quality assurance.

  • Simple operation and time savings: the modern user interface reduces training effort and includes an intuitive operating wizard (e.g. with pH buffer options) that simplifies sensor calibration and adjustment.

  • Enhanced visibility: overview of all measuring points and measured values, with full access to sensor status information and calibration logs.

  • Standardized digital measurement environment: regardless of the actual application scenario, the system automatically adjusts the relevant products, such as Liquiline CML18, the Memobase Pro App and Memobase Pro CZL81, to meet customer needs and measurement requirements.

  • No information security concerns and high flexibility: Memobase Pro CZL81 runs on Windows systems and requires authentication, ensuring compliant and secure operation.

Applications

The Memobase Pro CZL81 software supports archiving, reporting and monitoring and is future-proof, helping operators gain a complete overview of the condition of existing Memosens digital sensors. Connect

Configurator / Comparison

Municipal Wastewater Treatment

Municipal Wastewater Treatment · data manager — Application Case

Site Conditions

This is a Municipal Wastewater Treatment customer whose plant is at the inlet, biological and outlet stages of a municipal plant. The main task was centralised data acquisition, storage and forwarding to management platforms.

The Problem

The difficulty lies in high solids and corrosive fractions, with large diurnal flow swings; at the same time effluent parameters drift and probes foul with sludge and biofilm. Specification therefore means selected by channel count, storage depth and forwarding protocol.

What We Did

We took a system components range approach — supplying as a full cabinet and signal-chain configuration. Delivery was built around selected by channel count, storage depth and forwarding protocol, with point-by-point checks on: stable compliance with Grade 1A discharge limits and online data reporting.

Operating Outcome

In service the system performs as intended — automatic backfill after outages, greatly improving data completeness, with routine maintenance falling noticeably.

Food & Beverage

Food & Beverage · data manager — Application Case

Application Context

dosing, pasteurising, filling and CIP stages is a typical Food & Beverage duty. The project started from data manager, focusing on centralised data acquisition, storage and forwarding to management platforms.

Process Constraints

frequent cleaning demands instruments that withstand hot CIP/SIP caustic cycles, and syrups, dairy and beverages that scale easily, under strict hygienic requirements only amplify it. The data manager specification must therefore cover selected by channel count, storage depth and forwarding protocol.

Delivery Approach

Delivery was handled as the system components range — supplying as a full cabinet and signal-chain configuration. Execution centred on selected by channel count, storage depth and forwarding protocol, together with food-safety and hygienic design per 3-A / EHEDG.

Field Results

Operation shows the benefit clearly — automatic backfill after outages, greatly improving data completeness, with confidence in this measuring point improving markedly.

Chemical & Pharmaceutical

Chemical & Pharmaceutical · data manager — Application Case

Customer Profile

The typical setting in Chemical & Pharmaceutical is reactors, metering vessels and finished-product tanks. The measuring point is data manager; the focus is centralised data acquisition, storage and forwarding to management platforms.

Key Difficulties

Conditions are highly corrosive media with solvents and crystallisation, partly in explosive atmospheres and, on top of that, corrosion plus Ex protection shortens instrument life and makes downtime costly, which a standard configuration cannot handle for long. The design therefore starts with selected by channel count, storage depth and forwarding protocol.

Implementation

The scope ran through the system components range: supplying as a full cabinet and signal-chain configuration. Technically it hinges on selected by channel count, storage depth and forwarding protocol, and on these requirements: Ex certification and GMP traceability of records.

Customer Benefit

In practice this means automatic backfill after outages, greatly improving data completeness, which cut the workload on the site maintenance team.

Power & Energy

Power & Energy · data manager — Application Case

Project Background

The project covers boiler feedwater, turbine condensate and FGD/DeNOx systems. The work centres on data manager and the core task is centralised data acquisition, storage and forwarding to management platforms.

Operating Challenges

The medium and duty are characterised by high temperature and pressure with both steam and saline water, and drift under high temperature and pressure, with very costly unplanned outages. So data manager cannot be specified generically — it calls for selected by channel count, storage depth and forwarding protocol.

Solution

The Ainstru engineering team worked through the system components range: supplying as a full cabinet and signal-chain configuration. The configuration involves selected by channel count, storage depth and forwarding protocol, with these requirements in view: compliance with power-industry codes and unit availability targets.

Results

Since start-up the system has run steadily; the practical result is automatic backfill after outages, greatly improving data completeness.