Resolving critical anomalies.

TwinThread - a global leader in Industrial AI—announced the release of Anomaly Action Center, an AI-powered solution designed to help operational teams prioritise and resolve critical anomalies across their equipment assets and process operations. Unlike conventional alerting systems that only signal when something is wrong, Anomaly Action Center delivers each anomaly with the context plant personnel need to act quickly and effectively.

The new centre pairs with TwinThread’s pre-built solutions, sending operators, maintenance technicians, and engineers a one-sentence summary of each issue, ranked by how long it has persisted and how far it has strayed from ideal operating limits. As teams respond, the solution captures their actions as procedures to document best practices, and even configure rules to automate future response. The result? Anomaly mitigation becomes more efficient as an organisation matures.

Anomaly Action Center at-a-glance.

• One Prioritised View: Anomaly Rollup aggregates anomalies from asset health and process performance models, weighing persistence and magnitude so the most consequential issues rise to the top.
• Normalised Scoring: When one property, such as temperature, feeds several models of the same asset, Rollup normalises the results into a single anomaly score.
• Reduced Distractions: Score thresholds, grouping by digital twin or topic, and alert threshold buffers keep low-priority deviations out of the main view.
• Structured Investigations: Engineers track each anomaly through Cases and Case Workflow, then document the fix as a standard operating procedure (SOP) in a Notebook.
• Semi-Autonomous Resolution: Alert Rules with tiered criticality automatically attach the relevant Cases and Notebooks when a threshold is crossed, so known issues do not consume unnecessary manual troubleshooting resources.
• Personalised Alert Recommendations: Anomaly Action Center pushes the alerts each user typically acts on to the top of their queue and deprioritises those they historically ignore.

Industrial teams often find themselves stuck in a reactive cycle: alert fatigue from high volumes of undifferentiated alarms, repeated manual troubleshooting of problems that have been solved before, and individual expertise retained exclusively by personnel instead of the organisation as a whole. By ranking anomalies by impact, guiding investigations through structured workflows, and turning each resolution into a repeatable procedure, the Anomaly Action Center routes recurring issues to the right person with a proven fix already attached. This provides faster response, reduces unplanned downtime, and fosters institutional knowledge retention that scales across assets, sites, and shifts.

“Anomaly Action Center gives engineers a practical way to scale their expertise because every issue they solve becomes a procedure the platform can deliver automatically the next time those conditions appear,” says Erik Udstuen, co-founder and CEO at TwinThread. “Instead of spending their days assembling data to understand a problem, teams can focus on the anomalies that genuinely threaten throughput, quality, and uptime across their operations.”

The release of this solution further anchors TwinThread’s position as a complete industrial AI platform, with direct integration into a computerised maintenance management system (CMMS), quality management system (QMS), and other high-level plant software already in use. This integration empowers teams to investigate anomalies deeply without learning new interfaces. In one deployment, the platform consolidated 80 active models across multiple departments, with individual models monitoring as many as 1,500 sensors.

---

@twin_thread #Ai #PAuto.

Industrial Artificial Intelligence in pharma and life science.

Seeq has announced that it is collaborating with Cognizant, an AiBuilder and technology services provider, to help life sciences and pharmaceutical manufacturers move faster from data to action. By combining Seeq’s advanced industrial Aiand analytics with Cognizant’s advisory, implementation, delivery, and change management capabilities, the companies intend to help customers scale manufacturing analytics and performance improvement across lines and sites.

Cognizant brings extensive experience delivering industrial and life sciences solutions for global manufacturing organisations. Its teams support customers as they advance digital transformation, build data infrastructure, strengthen operational intelligence, and implement solutions that translate strategy into measurable plant-level outcomes.

Launching with Cognizant as a lead collaborator, Seeq’s Operational Efficiency and OEE Industry Solution empowers life sciences manufacturers to move from site-specific OEE dashboards and point reports to standardised, scalable performance management across lines and sites. Rather than stopping at visibility and reporting on what is happening, Seeq delivers insight into why it is happening, bringing together asset, process, scheduling, and execution data to provide a more complete view of operations.

Together, Seeq and Cognizant aim to support pharmaceutical and life sciences manufacturers as they improve how teams investigate process behavior, monitor performance, and scale analytics across sites. The collaboration brings together Seeq’s advanced Aiand analytics platform with Cognizant’s advisory, implementation, and change management capabilities to help customers operationalise use cases such as Continued Process Verification, (CPV), Overall Equipment Effectiveness, (OEE), and broader manufacturing analytics.

“At Seeq, we believe the greatest value comes from empowering subject matter experts to understand their processes more deeply, uncover the insights that matter, and turn insights into faster decisions and actions at enterprise scale,” said Dr. Lisa Graham, CEO of Seeq. “Our collaboration with Cognizant begins in life sciences and pharma, where the need is immediate and the opportunity is clear, and creates a strong foundation to help manufacturers across many industries move faster from industrial Aiand analytics to measurable business impact.”

For regulated pharmaceutical environments, Seeq for Pharma is purpose-built for GMP-regulated operations and includes capabilities designed to support customers’ efforts to meet applicable 21 CFR Part 11 requirements. These capabilities may help customers simplify aspects of compliance, validation, and change control by supporting auditability, controlled change management, and data integrity in regulated operations. Customers remain responsible for validating their specific configurations, processes, and intended uses.

“Operational efficiency is a major opportunity in the pharmaceuticals industry, yet too many teams still rely on fragmented reporting and local OEE view,” said Paolo Braiuca, Industry Leader for Pharma and Life Sciences at Seeq. “Together with Cognizant, we can help customers scale a more connected, pharma-ready approach to performance improvement across regulated operations.”

While the joint effort begins with life sciences and pharmaceuticals, Seeq and Cognizant see opportunities to explore additional industries over time, including complex manufacturing environments where operational data can support faster decisions, improved quality and performance.

---

@SeeqCorporation @Cognizant  #PAuto  #Ai #Pharma

EMC solutions from Shanghai.

Following the establishment of its European headquarters in Milan, Italy, and the recent launch of a logistics hub serving customers across Europe, EMIS Solutions (EMIS) has opened a new sales office and warehouse in China. EMIS is a global supplier of EMI components and filters for the industrial, defence and medical markets.

The new facility, located in Shanghai’s Songjiang District, provides product designers, manufacturers and contract electronics manufacturers in China with local sales support and warehousing. An experienced, highly qualified team with many years in the EMC field will deliver technical and commercial support. Additional design engineers are expected to join the operation over the next 6 to 12 months.

Supporting customers across Europe and Asia.
The investment expands EMIS Europe’s ability to support customers in Asia, as well as multinational OEMs operating across Europe and Asia. Local technical support and fulfilment will help customers shorten product-development lead times and maintain a reliable, responsive supply chain. Continued investment in global markets is central to EMIS’s growth strategy, particularly because custom-designed products account for more than 40% of turnover and close collaboration with customers is essential.

Alberto Gironi, Europe Sales Manager for EMIS, said: “We are delighted to establish EMIS’s presence in China. This is an important milestone, and we look forward to working closely with customers in the region by providing responsive local support, technical expertise and reliable fulfilment, backed by EMIS’s global capabilities.”

---

@proactivefleet #EMIS #PAuto #Electronics #China

Data centre hydronic cooling.

Decades of critical infrastructure insights brought to data centre cooling systems.

The new Rosemount™ 8795 Magnetic Flow Sensor is a purpose-built for data centre hydronic cooling applications. This industrial-grade flow sensor provides accurate, repeatable flow measurements for high reliability and uptime in mission-critical data centre applications. Designed for data centre environments, the flow sensor addresses common specification needs to simplify selection, installation and commissioning.

“As data centres expand to support growing digital infrastructure demands, the Rosemount 8795 applies decades of Emerson flow measurement expertise to help operators improve reliability, simplify deployment and maximise cooling system performance in mission-critical applications,” said Bob Halgren, vice president magnetic and vortex flow products with Emerson’s measurement instrumentation business.

The flow sensor can host Emerson’s proprietary software designed for short-run installations, enabling accurate flow measurement even when straight pipe requirements cannot be met, as is often the case in space-constrained data centre environments. This feature provides 0.5% accuracy at zero diameters (0D) of pipe runs based on the upstream disturbance and distance from the electrodes, and it is implemented during set-up when the sensor is paired with compatible Rosemount magnetic flow transmitters. This is an industry first as other mag meters require either a specially designed sensor with multiple electrodes or a reduced bore to provide this benefit.

For installations with longer upstream and downstream straight pipe runs of 5U/2D or more, the flow sensor can be paired with any compatible Rosemount transmitter to provide flow measurement with 0.2% ± 2 mm/s accuracy for reliable monitoring and control of critical cooling loops. With all compatible Rosemount transmitters, the built-in diagnostics and verification capabilities empower data centre operators and integrators to reduce commissioning risk, while maintaining confidence in ongoing system performance.

Optimised for chilled water and water glycol cooling loops, the sensor provides consistent performance across common data centre line sizes of 2 - 18 inches. Proven reliability and 0.1% repeatability ensures highly reliable and accurate data sent to building management systems (BMS) and data centre infrastructure management (DCIM) for water, cooling and power usage effectiveness (WUE, CUE, PUE) calculations. Its polytetrafluoroethylene (PTFE) liner and stainless steel electrodes were selected specifically for these types of thermal management applications in primary cooling loops, ensuring dependable operation in closed-loop cooling systems.

The industrial-grade flow sensor is designed to meet common BMS cooling specifications, while also being flexible for various situational needs. Functionality includes no moving parts, 5µS/cm minimum conductivity, dual 4-20mA plus Modbus output, universal power for AC or DC usage, flexibility for integrally or remotely mounted transmitters, and Short Run Installation software. These functions enable standardisation around a single solution for all hydronic needs at a data centre site. Emerson’s global supply chain shortens lead times at the scale required by data centres.

This instrument brings enhanced software capabilities and simplified ordering to Emerson’s existing magnetic flow meter portfolio, strengthening Emerson’s instrumentation offering for data centre customers.

---

@EmersonExchange @Rosemount_News @Emerson_News @EMR_Automation  @HHC_Lewis #PAuto #DataCentres

A peach job!

Automated fruit quality inspection processed: Peach by peach, 15 tons per hour!

At the Agrophoenix fruit processing plant in Greece, eight Stäubli SCARA robots do the opposite of cherry-picking: They pick peaches and select not the good ones, but the bad ones. The robots are part of the AI- and vision-based STAQ inspection system developed by Dutch startup QING. Eight parallel STAQ cells perform fruit grading at remarkable speed: During the season, they process 15 tons of peaches per hour (!), about 100,000 peaches, each cut in half.

Agrophoenix was founded in 2018 in Greece’s Imathia region as “not just another fruit processing company” with the aim of “creating something new and fresh,” says Lazaros Ioannidis, Partner and Project Manager. “We had the vision to create a company that differentiates itself from business models and standards not only in Greece but in our sector overall.”

This suggests that Agrophoenix uses packaging and processing formats beyond the typical canning. According to Lazaros Ionnaidis, “We have, for example, established a new production line for fruit balls in pouches, and we are able to pack aseptic diced fruit in 200-liter bins that we can use all year round for products in cups.”

Another innovation was implemented for grading peaches, with the primary goal of removing those with pit fragments. After the fruit is washed, steam-peeled, cut into halves and depitted, it is pre-inspected by a vision system, mainly for color. The peach halves then arrive at one of eight conveyors, each leading to a very compact cell containing an AI-assisted vision system and a food-grade Stäubli HE robot.

High-quality peach grading in next to no time.
In the cell, the camera captures every single peach half and inspects it in milliseconds. Immediately after screening, the robot picks the N.I.O. halves and places them on belts running to the right and left of the main conveyor, while the majority exit the cell for further processing.

Two things are especially worth noting here. First, QING, a Dutch startup that developed the STAQ system, uses AI to train the vision system. This means the user, in this case Agrophoenix, can easily determine and teach it the difference between acceptable and defective products, and adjust the parameters as needed.

Inspecting 15 tons of peaches an hour, one at a time.
Even more impressive is the speed and performance of the robot cells. “The robots can pick one peach half per second,” says Will Uijting, Commercial Director of QING. And since the N.I.O. rate is low because the fruits have already been graded, 15 tons of peaches can pass through the eight STAQ cells each hour.

The conversion of tons to peaches is not quite precise, since each fruit is different. As Lazaros Ioannidis explains, “We calculate in weight, not pieces. A peach weighs approximately 150 g, so 15 tons means 100,000 peaches per hour and 200,000 halves, more or less. And 3,600 of them can be rejected in that time.”

What happens with the rejected peaches? “At the moment, we only look for pits and pick them out in two channels: those with small pits and those with bigger ones,” says Will Uijting. “Those with bigger pits are directed to automated re-pitting, and the smaller ones go to manual inspection. Then both are fed back into the STAQ stations.”

An obvious choice: The robot.
In the STAQ cells, a Stäubli TS2-80 SCARA robot selects the N.I.O. peaches. Precision and durability played a role in choosing the robot, as did connectivity to the control system. A main criterion was, of course, hygienic compliance. Will Uijting: “It is a TS2-80 in the HE version, which means that it has washdown capabilities: The joints of the robot are well protected, all materials are corrosion-resistant, and an inner pressure prevents vapor, steam or water from entering the housing during cleaning.“ Further, QING opted for a filling of H1 oil – a logical choice because the robots are top-mounted over the conveyors carrying the peach halves.

The cells need frequent cleaning. Lazaros Ioannidis: “During the days of operation, every four hours the lines stop for 20 minutes and an automatic CIP-like cleaning starts. Each Sunday, a more intense cleaning with a food-grade detergent takes place.“ This is exactly what the Stäubli robots in the EHEDG-compliant HE version are designed for – frequent cleaning without compromising the longevity that Stäubli robots are known for. 

 The biggest challenge: Designing the gripper.
As for why it took two and not one season to get the eight QING cells production-ready, the answer is clear: It’s neither the AI, the software, nor the robots, but the gripper or, to be more precise, the material that comes into contact with the peaches. Will Uijting: “The peeled peaches are slippery, so we had to find a conveyor material on which the peaches hold their position. Even more difficult was the effective picking, grabbing, and releasing of the peaches with their cups upside down.” The engineers had to find the right vacuum gripper with the right contact material.

The next challenge: Robot-based removal of pit fragments.
In the end, they found the right combination, and the AI-based peach grading, with Stäubli HE robots picking the rejected peaches, successfully completed its first harvest season at the Agrophoenix plant. The collaboration with QING will continue in engineering, as Lazaros Ioannidis explains: “The next step is a difficult one, but we will try. Together with QING, we want to develop an automated system that is able to remove pit fragments from the peach halves – before or after the sorting. That’s our next big thing.”

STAQ by QING: More than robot-based inspection.
The cell with a camera and robot is only the visible part of the system that QING in Arnhem, Netherlands, has engineered. The complete solution is an automation framework called STAQ, developed specifically for the food industry. The acronym stands for See, Think, Act. Will Uitrijt, Commercial Director: “We look at the product with sensors or cameras, we determine what to do with it, and we act upon it. This works for different and difficult products, not only fruit like peaches, but also meat and biscuits. The software and the functions are always the same, while the grippers and the algorithms are adapted to the products and sorting parameters.” The cells are equipped with Stäubli HE (humid environment) SCARA robots to meet hygienic requirements in the food industry.

---

@StaubliRobots @PresseBox @UnnGmbh #Robotics #PAuto #Food #Greece

Meterlink-connected tools for field professionals.

New solutions for electrical, EV charging, and HVAC professionals combine advanced testing with connected mobile reporting.

Four new additions to Flir's test and measurement portfolio have been announced: the Flir EV86-NACS and EV86-T2 EV Charger Analyzers, Flir DM266 Compact Thermal Imaging Multimeter, and Flir EM57 Thermo-Hygrometer.

Designed for professionals across electrical, EV charging, HVAC, building diagnostics, and maintenance applications, these new tools combine specialised measurement capabilities with Flir Meterlink® connectivity for faster more efficient testing and reporting. This connectivity makes it easier to turn field measurements into actionable results.

“Professionals need tools that not only provide accurate measurements but also make it easier to turn those measurements into actionable information,” said Heliel Morales, Business Development Director for Condition Monitoring at Teledyne Flir. “These new products combine purpose-built testing capabilities with Meterlink connectivity to help simplify workflows from measurement through reporting.”

Connected EV charger testing.
The Flir EV86-NACS and EV86-T2 provide comprehensive safety and performance testing for AC EV charging stations in residential and commercial environments. The EV86-NACS supports Level 1 and Level 2 chargers with an integrated NACS socket, while the EV86-T2 supports Modes 1, 2 and 3 chargers with an integrated Type 2 socket.

Both models feature Protective Earth pre-testing, Control Pilot simulation and waveform analysis, CCID performance verification (EV86-NACS) RCD performance (EV86-T2), error simulation, and low-impedance measurement.

Smarter electrical troubleshooting.
The Flir DM266 Compact Thermal Imaging Multimeter with Meterlink combines True RMS electrical measurement with Infrared Guided Measurement (IGM™) and multi-spectral dynamic thermal imaging (MSX®) to help professionals quickly identify and diagnose electrical issues. VFD mode, an included remote control, integrated hands-free mounting, and IR Super Resolution up to 320 × 240 provide added flexibility for demanding inspections.

Environmental insight for HVAC Professionals.
The Flir EM57 Thermo-Hygrometer with Meterlink provides precise temperature and humidity measurements for HVAC service, commissioning, building inspections, and moisture-related applications. Instant dew point and wet bulb calculations help professionals evaluate comfort, HVAC performance, condensation risk, and humidity conditions.

Whether diagnosing electrical problems, testing EV charging infrastructure, or measuring environmental conditions, the new Flir Test and Measurement solutions combine purpose-built tools with Meterlink connectivity to simplify the workflow from measurement to report.

---

@flir  @mepaxIntPR  #TandM #HVAC#Automotive

Automating subsurface data workflows.

Improving interoperability, data management and collaboration across multi-well projects.

Logtek AS has selected AspenTech Geolog®, part of the AspenTech Subsurface Science & Engineering (SSE) portfolio, to modernise its subsurface workflows. By incorporating the software’s advanced automation and data capabilities, Logtek is better equipped to help upstream customers accelerate the discovery of new exploration & production (E&P) opportunities.

“Maximising the value of existing subsurface data has become essential for upstream operators navigating today’s industry challenges,” said Vikas Dhole, senior vice president of modelling and optimisation with Emerson’s Aspen Technology business. “Doing this well requires high-quality, exact data that can be used to uncover new exploration opportunities. Logtek’s industry leadership in ensuring access to high-quality petrophysical data, combined with Emerson’s advanced automation capabilities, will give Logtek customers an important advantage in using data to advance their business.”

Logtek conducts quality control, data management, regulatory reporting and petrophysical analysis for many of the major upstream operators across the Norwegian Continental Shelf, helping them interpret subsurface well data and ensure it is accurate, organised and effective for E&P decision-making. After an extensive technical evaluation, Logtek chose to replace one of its legacy third-party software systems with AspenTech Geolog to better integrate with in-house developed solutions and support more automated and streamlined work processes and custom scripts.

AspenTech Geolog will allow Logtek to deliver existing and new high-quality well log data with faster turnaround times and greater operational efficiency. With fewer reservoirs available for exploration worldwide, Logtek enables customers to accelerate new opportunity discovery through more effective analysis of existing data.

“Logtek upholds high-quality well data accuracy standards for its customers,” said Lars J. Fjell, chairman of the board at Logtek. “To successfully optimise our internal solutions, we needed a tool with the right balance of sophisticated technical features and flexibility, allowing us to continue delivering the high-quality data we are known for, with greater efficiency and automation. Working closely with Emerson will allow us to strengthen data precision and operational efficiency in a way that will help our customers with stronger E&P decision-making.”

In recent years, the OSDU® Data Platform has emerged as an important open-source reference architecture for the energy industry to manage and access data. Products in the AspenTech SSE portfolio, including AspenTech Geolog, are developed in alignment with the OSDU Data Platform, ensuring greater interoperability and data management across Logtek’s workflows.

Logtek, together with sister company Petroware, has performed proof of concept projects with many of the largest energy companies in Norway, focused on real-world examples of how the standard is implemented to streamline data management processes, enhance collaboration and drive operational efficiency. Uniquely equipped to handle large multi-well, multi-user data sets within one project, AspenTech Geolog supports data-driven decision-making and open data standards so Logtek can integrate with existing solutions to streamline project collaboration and delivery.

---

@EmersonExchange @AspenTech @Emerson_News @EMR_Automation  @HHC_Lewis #PAuto #Oil_Gas #Norway