Displaying items by tag: software

Anhui Conch Cement held an event in Wuhu, China, this week showcasing its new artificial intelligence (AI) model for the cement sector. The cement company and Huawei started the project in April 2024 with the support of the China Building Materials Federation. The companies say they have now identified over 200 “promising AI application scenarios across 15 categories” across the entire production process from quarrying to packaging and logistics. Conch has set up an AI training centre using the Huawei Cloud Stack product. It is using Huawei’s Pangu prediction, computer vision (CV) and natural language processing (NLP) models to create an AI operating system that integrates central training, edge inference, cloud-edge synergy, continuous learning and ongoing optimisation.

Thankfully Huawei gave some examples of what this actually meant for operators in the real world. The model is able to give real-time recommendations of key quality features enabling the prediction of three-day and 28-day clinker strength. The predicted strength values closely match test results, with deviations within 1MPa and an accuracy rate exceeding 85%. Other benefits include reducing kiln fuel consumption by 1%, monitoring and managing various components and machines along the production line, staff safety gains and creating a ‘smart digital assistant’ that can answer technical questions from employees.

Little of this seems particularly novel, so far, compared to what other companies are already doing in this field. For example, ABB said in early 2022 that it was using machine learning to predict 28-day strength on the day of sampling and in 2023 that it was doing it using production data provided every two - three hours. Another example is the work that Inform does using AI-based software to support logistics for heavy building materials. Plenty of other western-based companies also offer production optimisation and/or predictive maintenance products.

Conch’s use of an NLP model to create a knowledge base assistant does seem new for the cement sector. Although how specific the software running it might be to one business or industrial area remains to be seen. One could easily imagine this kind of product being sold to lots of different kinds of industries in the manner of current enterprise style software. Along these lines though, Juan Beltrán, digital manager of global sales excellence at Holcim, told McKinsey in an interview about Holcim’s pilot project in Spain testing an AI-enabled copilot customer-ordering assistant via WhatsApp.

Recent events in AI for the cement sector include ABB’s agreement to work with UK-based Carbon Re in late 2024. This collaboration was intended to combine ABB's expertise in automation and process control with Carbon Re's AI and machine learning technologies. It followed a pilot at a cement plant in the Czech Republic. On the producer side, Holcim said in mid-2024 that it was preparing to expand the use of AI-based software to 100 production plants by 2028. It noted that it had installed the system at 45 plants so far at the time of this announcement and that it was using a predictive maintenance solution from software supplier C3 AI. Titan Cement said that it had invested in Spain-based AI software supplier Optimitive in February 2025. Then, Cemex announced this week that it too had invested in Optimitive, via its corporate venture capital arm Cemex Ventures. Molins has also worked with Optimitive.

What isn't being disclosed much are the examples of the mistakes of introducing AI into cement production. These are valuable learning opportunities for any company implementing this kind of software. However, the developers and cement producers are extremely unlikely to admit anything publicly. Global Cement Weekly has heard off-the-record information previously about AI projects at cement plants that have gone wrong but we can’t reveal it either. To his credit though Beltrán mentions an incident, in his interview with McKinsey, where the WhatsApp ordering assistant was tricked during testing into almost placing an order for a truck of gazpacho soup!

We’re still watching how AI is being deployed in heavy industries such as cement. The announcement by Conch is exactly the kind of thing its peers are doing around the world. So far what they’ve done is impressive but not unique. Yet, China’s large but shrinking cement sector and its determination to develop its own AI-based software sector may start to deliver more cutting-edge advances in the future. Companies elsewhere are also pressing ahead to find out how AI products will deliver efficiency gains.

Greece: Titan Cement Group says that it has accelerated its innovation strategy with new investments in cement-aligned start-ups. The producer has invested in AI-based industrial process optimiser developer Optimitive, in concrete design systems developer Concrete.ai, in demolition materials-based concrete developer C2CA Technology and in property technology investor Fifth Wall.

India: Prism Johnson has implemented the Ramco ERP Suite across its cement operations. Ramco ERP Suite is an enterprise resource planning system that incorporates maintenance, sales and distribution. Tools include a Contract Labour Management System for work shifts and Interactive Business Intelligence System for transaction management, along with GIS-enabled applications. Ramco also offers a Real-Time Integrator module to connects its Process Suite Advanced Process Control Expert Optimisers to the suite.

Saudi Arabia: Najran Cement Company has launched Wasel, an app for business-to-business cement distribution. Argaam News has reported that users can order and track cement deliveries on the app.

CEO Abdulsalam bin Abdullah Aldraibi said "The development of this system started at the end of 2023 and its modules were gradually launched during 2024 according to the priority of the operational need. Today, all modules of the system have been successfully completed and the system has been linked to other supporting systems such as the vehicle tracking system and the Saudi Public Transport Authority’s Waybill transport issuance system."

Switzerland: Holcim plans to expand the use of artificial intelligence (AI)-based software at 100 production plants by 2028. The company will use the technology for predictive maintenance, in order to increase operational efficiency and resilience. It has installed the system at 45 plants to date. C3 AI is providing its predictive software products, and the group is also piloting generative AI techniques.

Holcim CEO Miljan Gutovic said "AI is a transformative technology that will revolutionise our industry. Already widely embedded across Holcim, AI catalyses operational efficiency and enhances customer service.”

Germany: Sweden-based CheckProof has appointed Peter Erbel as its Country Manager, Germany. Erbel previously worked for FLSmidth and associated companies from 2007 to 2023 in sales, product and project management roles.

CheckProof is a software-as-a-service company supplying heavy industry markets including aggregate, asphalt, cement, ready mix concrete and heavy machinery. The company says it has seen strong, continual growth in Germany and appointing Erbel is planned to support existing clients and grow the business in Germany, Switzerland and Austria. CheckProof has clients in 38 countries.

UK: CRH subsidiary Tarmac has successfully deployed France-based software developer Everysens’ Transport Visibility & Management System (TVMS) in its total operations processing system (TOPS) for rail transport. The TVMS digitally tracks trains, enabling the customer to measure performance, analyse patterns and ensure smooth anticipation and collaboration between stakeholders. Tarmac expects the upgrade to streamline its delivery monitoring and also allow for proactive decision-making.

Tarmac head of rail Chris Swan said "Everysens' integration with TOPS has significantly supported Tarmac to digitise its rail freight operations. Tracking our freight trains has become a lot easier and more precise through digital solutions. With real-time ETA data, we can optimise routes, manage resources, and provide an even higher level of service to our customers. This integration underscores our commitment to staying ahead in technology and embracing digitisation for more efficient and streamlined operations."

France: Cemex’s venture capital unit Cemex Ventures has invested in construction value chain CO₂ emissions monitoring software developer Vizcab. Vizcab aims to help enable built environments to conform to stricter environmental regulations.

Head of Cemex Ventures Gonzalo Galindo said “Vizcab's exhaustive solution enables cooperation between different stakeholders to manage carbon strategies throughout a project's lifecycle, a critical challenge in our complex and interconnected industry. This solution also implements the use of building materials with sustainable attributes, such as Cemex's Vertua portfolio of products.”

Italy: Colacem has selected US-based Armis’ Armis Centrix AI-based cyber exposure management platform to protect online assets in its cement plants. Italian Industry News has reported that protected assets include IT equipment, operational technologies and internet of things (IoT) devices.

Colacem security manager Luca Salemmi said “We requested support from Armis because we realised that we did not have visibility on all devices. What we immediately liked about Armis Centrix is its ability to evaluate the level of vulnerability of each device and to provide a priority order for immediate intervention so that it resolves the most critical risks.”

Croatia: Nexe Group has ordered a suite of software products from US-based Rockwell Automation to digitise production processes, reduce energy usage and increase production. It will use the FactoryTalk Analytics Pavilion8 software together with performance-management dashboards based on the ThingWorx IIoT platform, part of the FactoryTalk InnovationSuite, supplied by PTC

The software architecture to be deployed at Nexe was formulated by data science teams from Rockwell Automation and subsidiary Kalypso. The Pavilion8 model predictive control (MPC) product sits on top of automation systems and continuously assesses current and predicted operational data. It then compares this data to desired results, and drives new control targets to reduce process variability, improve performance and boost efficiency.

Danijel Koren, plant manager at Nexe’s integrated cement plant at Našice said “This is a push forward on this important journey for the whole group. We are looking to link all systems together and put operational data in the hands of people who can make a difference. Early results point to real success in terms of savings and efficiency; indeed, we are predicting a payback period of less than a year.”