1. Practical Application Cases
First, Ansteel Mining Corporation. During the construction of smart mines, Ansteel Mining chose to cooperate with Rongzhi for intelligent equipment O&M. They faced issues such as heavy on-site inspection loads, uncontrollable equipment status, and high failure rates affecting production rhythm.
Rongzhi provides the Intelligent Point Inspection System and Predictive Maintenance System to solve inspection and equipment status problems.
By deploying the intelligent point inspection system across 26 mines in the entire company, on-site equipment inspections are conducted orderly and efficiently. Among them, 107 key devices in 2 branch mines were prioritized into the predictive maintenance system for real-time monitoring and intelligent early warning. To date, dozens of equipment faults have been predicted in advance, effectively avoiding unplanned downtime.
Finally, Huaihe Energy Group. Huaihe Energy’s predictive maintenance system breaks down the data silos between Rongzhi Cloud Diagnostic Center and on-site equipment management systems, enabling data sharing. This allows both remote equipment supervision and direct driving of equipment management tasks, greatly improving management efficiency.
2. Supervision Performance
Currently, we have deployed over 420,000 underlying measurement points cumulatively, monitoring 110,000 devices in real time. We have issued a total of 1.2 million monthly reports and formed more than 14,000 valuable closed-loop cases. You may wonder: what is a closed-loop case? We detect equipment anomalies through the system, alert the customer, provide detailed diagnostic conclusions and repair suggestions, continuously track the equipment operation status until the customer completes maintenance, and then the customer feeds back the maintenance results and related materials to the diagnostic engineer. The case is then reviewed to assess whether the equipment is restored to normal, and finally all materials are packaged to form a complete closed-loop case. Therefore, closed-loop cases are characterized by long duration, high difficulty, and high standards. These data are also an important guarantee for our intelligent algorithms.
During continuous service to customers, Rongzhi actively responds to the national call for smart factory construction, accelerates the layout and implementation of intelligent projects, and assists enterprises in building intelligent monitoring platforms. More than 10 of our customers have been selected into the national-level smart factory directory in 2021 and 2022.
In addition to online equipment supervision, our platform has been maturely applied to leading customers in many industries, such as CITIC Pacific in metallurgy, Huaren in cement, Ningmei Group in coal, and Huaneng in power.
Apart from extensive domestic applications, our products and services have reached international standards and have been exported to 35 countries and regions including the UK, Germany, and Russia. Well-known global companies such as POSCO (South Korea), Tata Group (India), BP (UK), and Nissan are our customers.
3. Industry Background and Planning
Industry Challenge – Intelligent O&M Has Become an Inevitable Trend for Future Enterprises
Intelligent Equipment O&M – The Future is Here
Understanding the future development trend of intelligent equipment O&M, O&M technology continues to evolve. Changes in cognition, technology, and organization have spawned new concepts, new technologies, and new models, driving the industry from post-incident maintenance to predictive maintenance, continuously advancing towards intelligent O&M.
At the national level, in recent years, the government has also issued a number of policies to promote the digital transformation of mining enterprises.
Explorer, Pioneer, and Leader in Intelligent Equipment O&M
Intelligent equipment O&M is not something that can be achieved overnight. It is likely that we will continue to strive for it for a long time.
Based on the understanding of enterprises' actual status and industry trends, we have explored a four-step route for intelligent O&M that suits current technology and enterprise status.
First, focus on remote O&M of mechanical equipment to reduce unplanned downtime and improve equipment management efficiency.
Second, co-build intelligent O&M for all equipment to achieve fewer people, unmanned, and intelligent management.
Third, drive management changes through technological changes, forming an intelligent decision-making system centered on data and models.
Finally, help industry leaders build an equipment intelligent O&M ecosystem, open up upstream and downstream resources, and realize efficient resource collaboration and application.
One-Stop Assistance for Customers to Achieve Intelligent Equipment O&M
We have a complete O&M system that combines "technology + service". We not only provide customers with technical services of "hardware + platform system + algorithm", but also provide supervision, consultation, talent training, and process construction services. Through top-level planning design + system construction and improvement, we comprehensively assist customers in achieving intelligent equipment O&M.
Rongzhi Lingzhi SuperCare Intelligent Equipment O&M Platform
The platform architecture adopts the mainstream cloud-edge-end three-layer architecture.
Based on equipment status data and centered on algorithms and models, this can not only achieve early prediction of equipment anomalies, but also drive the full lifecycle management of equipment through status data, helping enterprises upgrade their management mode.
1 Professional Platform, N Kinds of Intelligent Application Scenarios
For different enterprise needs, relying on the Lingzhi SuperCare Intelligent O&M Platform, we build a variety of scenario-based applications, providing flexible solutions for customers.
For small enterprises or single plants, by deploying a predictive maintenance system to achieve real-time data collection and remote diagnostic analysis, equipment faults can be effectively predicted, ensuring continuous operation of on-site equipment. On this basis, for enterprises that want to achieve full lifecycle management of equipment, through online + equipment management, a full lifecycle management system driven by equipment status data is realized. For those who want centralized group control, a Cloud Diagnostic Center is built to achieve centralized deployment, concentrate expert resources, and drive the entire business process through data to achieve intelligent equipment O&M.
The design and construction of the Lingzhi SuperCare Intelligent O&M Platform closely follow the advanced concepts of intelligence, autonomy, diversity, and collaboration. Through a powerful intelligent engine, it intelligently identifies and evaluates equipment status. Flexible development tools meet on-site low-code secondary development needs and quickly precipitate expert experience. Rich data interfaces reuse existing on-site data, building a cloud-edge collaboration capability channel to utilize cloud expert resources.
4. Intelligent O&M Solution
Perception: Multi-scenario Data Acquisition Capability
First, the foundation of intelligent O&M lies in data. From the world's first fully wireless data acquisition device to more than 30 types of self-developed intelligent data acquisition devices, Rongzhi has outstanding capabilities in the data acquisition layer. In recent years, as Rongzhi has deepened its presence in various industries, it has begun to focus on solving industry-specific monitoring challenges. It has successively launched special scenarios such as low-speed heavy load, reciprocating machinery, overhead crane, and oil fluid. In addition, image, noise, inspection robots, etc. are also under development. Rongzhi now has comprehensive monitoring and perception capabilities for multiple industries, multiple equipment types, and multiple scenarios.
Intelligence: Based on AI algorithms and big data accumulation, accurate fault diagnosis
Taking data-driven as the core, using AI intelligent algorithms and big data analysis as tools, through efficient integration of industry knowledge and artificial intelligence technology, combined with a large number of fault case data, algorithm models for multiple industries, equipment types, parts, and fault types are constructed to achieve accurate fault diagnosis.
Service: Intelligent Consultation, Expert Diagnosis, Making Equipment O&M More Efficient
Current intelligence can only solve part of the problem, not all problems, so expert intervention is needed.
Since 2013, Rongzhi has provided comprehensive remote diagnostic services. With our excellent diagnostic platform and the largest remote diagnostic team in the industry, including a unique case laboratory with more than 40 full-time international vibration analysts, each monitoring over 5,000 devices, 110,000 devices can be diagnosed and monitored 365*24 hours a year. Specific services include monthly inspections, timely push of equipment status, analysis reports for faulty equipment, and status evaluation after equipment repair. Through comprehensive services and collaboration, accurate and efficient O&M is achieved.
Empowerment: International Authority, Future-Oriented, Talent Training, System Building
For large group enterprise customers, it is necessary to reserve diagnostic analysis talent. Therefore, since 2015, Rz has cooperated with Australia's Mobius to establish a diagnostic college. To date, it has trained more than 1,000 person-times and trained more than 300 internationally recognized diagnostic analysts. To make the talent realize the greatest value, institutional support is also needed. Through more than a decade of practice and refinement, we have formed a complete set of operation processes and system norms for the remote equipment O&M center. Its scientific nature and advancement have also been certified by Germanischer Lloyd (DNV GL). It has helped customers in five major industries (petrochemical, power, metallurgy, cement, coal) build O&M centers.
Applicable to Multiple Application Scenarios: Coal Mine, Iron Mine, Copper Mine, etc.
A complete set of product and service systems has now been applied in mine scenarios such as coal, iron, and copper mines. There are a large number of monitoring cases for key on-site equipment such as mills, crushers, belt conveyors, and fans, ensuring long-term reliable and safe operation of equipment.
Mining Key Equipment Online Supervision Performance
As of February 2023, customers cover mining group clients such as Guoneng, Jinneng Holding, Zijin, and Huaihe Energy. The cumulative number of key equipment monitored in the mining industry has exceeded 4,200 units, with over 13,000 measurement points, forming more than 630 closed-loop cases.
5. Typical Applications and Value
Application Value – Safety, Cost Reduction, Efficiency Improvement, Experience Enhancement
Mainly reflected in safety, cost reduction, efficiency improvement, and improvement of work experience. The new intelligent O&M model helps enterprises achieve digital and intelligent transformation.
Contact: Yang 15970160621
Note: Technical support and cooperation for this product are jointly provided by Anhui Rongzhi Xinke Technology and Jiangxi Deer Intelligence.
First, Ansteel Mining Corporation. During the construction of smart mines, Ansteel Mining chose to cooperate with Rongzhi for intelligent equipment O&M. They faced issues such as heavy on-site inspection loads, uncontrollable equipment status, and high failure rates affecting production rhythm.
Rongzhi provides the Intelligent Point Inspection System and Predictive Maintenance System to solve inspection and equipment status problems.
By deploying the intelligent point inspection system across 26 mines in the entire company, on-site equipment inspections are conducted orderly and efficiently. Among them, 107 key devices in 2 branch mines were prioritized into the predictive maintenance system for real-time monitoring and intelligent early warning. To date, dozens of equipment faults have been predicted in advance, effectively avoiding unplanned downtime.
Finally, Huaihe Energy Group. Huaihe Energy’s predictive maintenance system breaks down the data silos between Rongzhi Cloud Diagnostic Center and on-site equipment management systems, enabling data sharing. This allows both remote equipment supervision and direct driving of equipment management tasks, greatly improving management efficiency.
2. Supervision Performance
Currently, we have deployed over 420,000 underlying measurement points cumulatively, monitoring 110,000 devices in real time. We have issued a total of 1.2 million monthly reports and formed more than 14,000 valuable closed-loop cases. You may wonder: what is a closed-loop case? We detect equipment anomalies through the system, alert the customer, provide detailed diagnostic conclusions and repair suggestions, continuously track the equipment operation status until the customer completes maintenance, and then the customer feeds back the maintenance results and related materials to the diagnostic engineer. The case is then reviewed to assess whether the equipment is restored to normal, and finally all materials are packaged to form a complete closed-loop case. Therefore, closed-loop cases are characterized by long duration, high difficulty, and high standards. These data are also an important guarantee for our intelligent algorithms.
During continuous service to customers, Rongzhi actively responds to the national call for smart factory construction, accelerates the layout and implementation of intelligent projects, and assists enterprises in building intelligent monitoring platforms. More than 10 of our customers have been selected into the national-level smart factory directory in 2021 and 2022.
In addition to online equipment supervision, our platform has been maturely applied to leading customers in many industries, such as CITIC Pacific in metallurgy, Huaren in cement, Ningmei Group in coal, and Huaneng in power.
Apart from extensive domestic applications, our products and services have reached international standards and have been exported to 35 countries and regions including the UK, Germany, and Russia. Well-known global companies such as POSCO (South Korea), Tata Group (India), BP (UK), and Nissan are our customers.
3. Industry Background and Planning
Industry Challenge – Intelligent O&M Has Become an Inevitable Trend for Future Enterprises
Intelligent Equipment O&M – The Future is Here
Understanding the future development trend of intelligent equipment O&M, O&M technology continues to evolve. Changes in cognition, technology, and organization have spawned new concepts, new technologies, and new models, driving the industry from post-incident maintenance to predictive maintenance, continuously advancing towards intelligent O&M.
At the national level, in recent years, the government has also issued a number of policies to promote the digital transformation of mining enterprises.
Explorer, Pioneer, and Leader in Intelligent Equipment O&M
Intelligent equipment O&M is not something that can be achieved overnight. It is likely that we will continue to strive for it for a long time.
Based on the understanding of enterprises' actual status and industry trends, we have explored a four-step route for intelligent O&M that suits current technology and enterprise status.
First, focus on remote O&M of mechanical equipment to reduce unplanned downtime and improve equipment management efficiency.
Second, co-build intelligent O&M for all equipment to achieve fewer people, unmanned, and intelligent management.
Third, drive management changes through technological changes, forming an intelligent decision-making system centered on data and models.
Finally, help industry leaders build an equipment intelligent O&M ecosystem, open up upstream and downstream resources, and realize efficient resource collaboration and application.
One-Stop Assistance for Customers to Achieve Intelligent Equipment O&M
We have a complete O&M system that combines "technology + service". We not only provide customers with technical services of "hardware + platform system + algorithm", but also provide supervision, consultation, talent training, and process construction services. Through top-level planning design + system construction and improvement, we comprehensively assist customers in achieving intelligent equipment O&M.
Rongzhi Lingzhi SuperCare Intelligent Equipment O&M Platform
The platform architecture adopts the mainstream cloud-edge-end three-layer architecture.
Based on equipment status data and centered on algorithms and models, this can not only achieve early prediction of equipment anomalies, but also drive the full lifecycle management of equipment through status data, helping enterprises upgrade their management mode.
1 Professional Platform, N Kinds of Intelligent Application Scenarios
For different enterprise needs, relying on the Lingzhi SuperCare Intelligent O&M Platform, we build a variety of scenario-based applications, providing flexible solutions for customers.
For small enterprises or single plants, by deploying a predictive maintenance system to achieve real-time data collection and remote diagnostic analysis, equipment faults can be effectively predicted, ensuring continuous operation of on-site equipment. On this basis, for enterprises that want to achieve full lifecycle management of equipment, through online + equipment management, a full lifecycle management system driven by equipment status data is realized. For those who want centralized group control, a Cloud Diagnostic Center is built to achieve centralized deployment, concentrate expert resources, and drive the entire business process through data to achieve intelligent equipment O&M.
The design and construction of the Lingzhi SuperCare Intelligent O&M Platform closely follow the advanced concepts of intelligence, autonomy, diversity, and collaboration. Through a powerful intelligent engine, it intelligently identifies and evaluates equipment status. Flexible development tools meet on-site low-code secondary development needs and quickly precipitate expert experience. Rich data interfaces reuse existing on-site data, building a cloud-edge collaboration capability channel to utilize cloud expert resources.
4. Intelligent O&M Solution
Perception: Multi-scenario Data Acquisition Capability
First, the foundation of intelligent O&M lies in data. From the world's first fully wireless data acquisition device to more than 30 types of self-developed intelligent data acquisition devices, Rongzhi has outstanding capabilities in the data acquisition layer. In recent years, as Rongzhi has deepened its presence in various industries, it has begun to focus on solving industry-specific monitoring challenges. It has successively launched special scenarios such as low-speed heavy load, reciprocating machinery, overhead crane, and oil fluid. In addition, image, noise, inspection robots, etc. are also under development. Rongzhi now has comprehensive monitoring and perception capabilities for multiple industries, multiple equipment types, and multiple scenarios.
Intelligence: Based on AI algorithms and big data accumulation, accurate fault diagnosis
Taking data-driven as the core, using AI intelligent algorithms and big data analysis as tools, through efficient integration of industry knowledge and artificial intelligence technology, combined with a large number of fault case data, algorithm models for multiple industries, equipment types, parts, and fault types are constructed to achieve accurate fault diagnosis.
Service: Intelligent Consultation, Expert Diagnosis, Making Equipment O&M More Efficient
Current intelligence can only solve part of the problem, not all problems, so expert intervention is needed.
Since 2013, Rongzhi has provided comprehensive remote diagnostic services. With our excellent diagnostic platform and the largest remote diagnostic team in the industry, including a unique case laboratory with more than 40 full-time international vibration analysts, each monitoring over 5,000 devices, 110,000 devices can be diagnosed and monitored 365*24 hours a year. Specific services include monthly inspections, timely push of equipment status, analysis reports for faulty equipment, and status evaluation after equipment repair. Through comprehensive services and collaboration, accurate and efficient O&M is achieved.
Empowerment: International Authority, Future-Oriented, Talent Training, System Building
For large group enterprise customers, it is necessary to reserve diagnostic analysis talent. Therefore, since 2015, Rz has cooperated with Australia's Mobius to establish a diagnostic college. To date, it has trained more than 1,000 person-times and trained more than 300 internationally recognized diagnostic analysts. To make the talent realize the greatest value, institutional support is also needed. Through more than a decade of practice and refinement, we have formed a complete set of operation processes and system norms for the remote equipment O&M center. Its scientific nature and advancement have also been certified by Germanischer Lloyd (DNV GL). It has helped customers in five major industries (petrochemical, power, metallurgy, cement, coal) build O&M centers.
Applicable to Multiple Application Scenarios: Coal Mine, Iron Mine, Copper Mine, etc.
A complete set of product and service systems has now been applied in mine scenarios such as coal, iron, and copper mines. There are a large number of monitoring cases for key on-site equipment such as mills, crushers, belt conveyors, and fans, ensuring long-term reliable and safe operation of equipment.
Mining Key Equipment Online Supervision Performance
As of February 2023, customers cover mining group clients such as Guoneng, Jinneng Holding, Zijin, and Huaihe Energy. The cumulative number of key equipment monitored in the mining industry has exceeded 4,200 units, with over 13,000 measurement points, forming more than 630 closed-loop cases.
5. Typical Applications and Value
Application Value – Safety, Cost Reduction, Efficiency Improvement, Experience Enhancement
Mainly reflected in safety, cost reduction, efficiency improvement, and improvement of work experience. The new intelligent O&M model helps enterprises achieve digital and intelligent transformation.
Contact: Yang 15970160621
Note: Technical support and cooperation for this product are jointly provided by Anhui Rongzhi Xinke Technology and Jiangxi Deer Intelligence.
