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Symphony
Hong Kong Island, China
D
11-50 Employees
2019
Key takeaway
The company specializes in predictive maintenance by utilizing industry 4.0 IoT vibration sensors to detect and diagnose machine faults weeks in advance, providing simple and actionable alerts to prevent potential machinery problems.
Reference
Core business
Symphony | AI & IoT Predictive Maintenance
Innovit Electric
Xi'an, China
D
51-100 Employees
2010
Key takeaway
Innovit Electric specializes in predictive maintenance through its continuous partial discharge monitoring system (PDMS), which effectively monitors and correlates the operating dynamics of high-voltage electrical assets. Their PDGuard technology provides essential insights into the health of insulation systems, ensuring a reliable and uninterrupted power supply.
Reference
Product
PD Monitoring System for Transformer – Innovit Electric
RC Labs
Hong Kong Island, China
D
1-10 Employees
2019
Key takeaway
RC Labs is developing intelligent Battery Management Systems (BMSs) that enhance the understanding of EV batteries through advanced modeling. Their approach aligns with predictive maintenance strategies that utilize data analytics and machine learning to foresee equipment failures.
Reference
Service
Automotive Manufacturing – RC Labs
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Global Industrie Services
China
D
1-10 Employees
-
Key takeaway
The company, Global Industrie Services, specializes in predictive maintenance, offering both preventive and corrective maintenance for industrial machines. With over 20 years of experience and a dedicated team, they ensure machines are retrofitted and reconditioned to meet safety and operational standards.
Reference
Core business
Global Industrie Services - Maintenance de machines industrielles - Bôle/Neuchâtel - Suisse - Accueil
Maintenance préventive et curative, rétrofit et reconditionnement machines industrielles - Bôles - Neuchâtel - Suisse
Pinnacle Tech Limited
Sha Tin District, China
D
11-50 Employees
2017
Key takeaway
Pinnacle Tech Limited leverages advanced machine learning models to deliver powerful predictive maintenance solutions, enhancing the efficiency of their Industry 4.0 automation machinery. Their expertise in smart automation positions them as a key player in optimizing manufacturing processes through innovative technologies.
Reference
Core business
Pinnacle Tech Limited | Smart Automation Solutions Provider
We provide turnkey smart automation solutions to tailor to your manufacturing needs. Just contact us for your next automation project.
iData
Shenzhen, China
D
501-1000 Employees
2009
Key takeaway
iData is dedicated to enhancing customer success through innovative smart IoT devices, which can play a crucial role in predictive maintenance by providing intelligent data acquisition and sensing products. Their commitment to building a connected smart world ensures that users have access to advanced technologies that support effective maintenance and repair services.
Reference
Service
Maintenance/Repair and Sevice-iData-New handheld terminal | PDA Scanner Android | RFID Reader | Explore Barcode scanner
中湛(天津)国际贸易有限公司
Heping District, China
D
1-10 Employees
-
Key takeaway
The company, TPMC, offers a range of firefighting products, including an air maintenance device that is an automatic, pressure-reducing solution designed to maintain a predetermined air or nitrogen pressure. This focus on technical proposals and complete system solutions indicates their commitment to optimizing project demands, which is relevant for predictive maintenance applications.
Reference
Product
Air maintenance device - UL / FM Approved - TPMCSTEEL
Air maintenance device is an automatic, field-adjustable, pressure reducing device. It is used to maintain a predetermined air or nitrogen pressure in a dry...
Chongqing ASSEN Power Equipment Co.LTD
China
D
51-100 Employees
2005
Key takeaway
Chongqing Assen Power Equipment Co., Ltd. specializes in providing innovative solutions for oil maintenance, including the export of oil purifiers designed to extend the life of oil and equipment. Their focus on customization and rapid production plans ensures that customers receive effective maintenance tools tailored to their specific needs.
Reference
Product
100% High Efficiency Transformer Maintenance Tool, Oil Purifier
A power transformer is most costly and essential equipment of an electrical transformer. Transformer maintenance is particularly important for getting
摩菲伊肯控制技术(杭州)有限公司
Hangzhou City, China
D
11-50 Employees
-
Key takeaway
FW Murphy Production Controls offers innovative digital solutions, including the M-Link® IoT Gateway, which leverages technology to enhance equipment utilization and optimize operational savings. Their focus on integrated solutions and customer needs aligns well with the principles of predictive maintenance.
Reference
Product
M-Link® - FW Murphy Production ControlsFW Murphy Production Controls
Leverage technology and improve your equipment utilization with FW Murphy’s M-Link. Improve your operational savings by optimizing...
Tru-Marine Machinery Engineering Guangzhou Co. Ltd. 广州万利海业机械工程有限公司
Guangzhou City, China
D
11-50 Employees
1998
Key takeaway
Tru-Marine emphasizes its leadership in innovative technology and reliable turbocharger maintenance and repair services. This expertise in turbocharger overhaul and advanced reclamation methods suggests a strong foundation for predictive maintenance practices.
Reference
Service
Tru-Marine - Repairs – Overhaul – Spares
Technologies which have been searched by others and may be interesting for you:
A selection of suitable products and services provided by verified companies according to your search.
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edpem
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Offshore Converter Station Maintenance and Servicing
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OperAID
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A selection of suitable use cases for products or services provided by verified companies according to your search.
Use case
Continuous monitoring
Airport, Logistics
The challenge: A leading provider of ground services and cargo handling wanted to offer comprehensive solutions to the aviation industry. To drive innovation in key areas such as service, quality and reliability, the company wanted to improve visibility and communication through integration and networking across departments. Monitoring irregularities in process flows was critical to optimizing ground handling services. Working with multiple service providers and their disparate IT systems, which varied between airports and internal departments, was a challenge, while maintaining uninterrupted operations throughout the project. The solution: This multi-stage project used edpem, a process event monitoring tool, as the primary solution for monitoring ground services. To ensure fast aircraft turnaround times, the critical path in the process flow needed to be measured and monitored, especially when processes were transferred between suppliers. edpem recorded multiple events, including parking, disembarking completion, cleaning, catering, fuelling, crew boarding and loading completion. Service Level Agreements (SLAs) were tracked and monitored, and causes of delays identified and improved. Ground handling services were optimized by assessing service duration and process flow irregularities. In addition to monitoring traditional EDI processes, visualized reports improved reporting efficiency and facilitated faster decision-making. Key results included reduced turnaround times and fewer disruptions to flight operations. Our client: A major European airport provides ground services to approximately 265 million passengers annually and manages 4.6 million tonnes of global air cargo. Several warehouses are IATA CEIV certified for pharmaceutical logistics. In 2019, its 64,000 employees operated at 300 airports in 47 countries on six continents.
Use case
Real-Time-Monitoring
Logistics
The challenge: The pharmaceutical company works closely with logistics service providers. Due to the volatile nature of the sector's order book, it was difficult to accurately predict capacity utilization, leading to recurring problems with service providers during collection. Service providers need timely information on freight volumes, collection details and the appropriate mode of transport. A key challenge was the sharing of real-time transport data. Another key concern was tracking and tracing, which proved difficult due to incomplete integration of certain areas of the warehouse management system. In addition, real-time monitoring of internal and external departments and service providers was required to optimize logistics processes. The solution: edpem was implemented as an end-to-end monitoring solution to improve logistics processes. The monitoring covered the entire delivery process, from SAP order documents and invoices to final delivery. Connection and monitoring of the warehouse management system was also part of the scope. Comprehensive tracking of goods throughout the supply chain enabled quick retrieval of information without involving other departments, saving valuable time and resources. Optimal vehicle selection for parcel collection and product tracking by batch were achieved. Internal IT system security was ensured, as external partners could only access edpem without needing permissions for internal applications. Parcel scanning enabled customer order tracking and tracing, early problem identification and real-time notification of process owners. edpem tracked the entire shipping process from packaging to customer delivery. The automation of electronic data interchange (EDI) provided new opportunities for superior service and quality for customers and logistics providers. Our customer: A pharmaceutical company based in Germany provides "Made in Germany" products to patients worldwide, with almost all products manufactured at its headquarters in Baden-Baden and distributed through an extensive network. Its main focus is on the research and production of medicines based on natural ingredients. The company has achieved global growth and operates in 50 countries.
Use case
Continuous monitoring
Airport, Logistics
The challenge: A leading provider of ground services and cargo handling wanted to offer comprehensive solutions to the aviation industry. To drive innovation in key areas such as service, quality and reliability, the company wanted to improve visibility and communication through integration and networking across departments. Monitoring irregularities in process flows was critical to optimizing ground handling services. Working with multiple service providers and their disparate IT systems, which varied between airports and internal departments, was a challenge, while maintaining uninterrupted operations throughout the project. The solution: This multi-stage project used edpem, a process event monitoring tool, as the primary solution for monitoring ground services. To ensure fast aircraft turnaround times, the critical path in the process flow needed to be measured and monitored, especially when processes were transferred between suppliers. edpem recorded multiple events, including parking, disembarking completion, cleaning, catering, fuelling, crew boarding and loading completion. Service Level Agreements (SLAs) were tracked and monitored, and causes of delays identified and improved. Ground handling services were optimized by assessing service duration and process flow irregularities. In addition to monitoring traditional EDI processes, visualized reports improved reporting efficiency and facilitated faster decision-making. Key results included reduced turnaround times and fewer disruptions to flight operations. Our client: A major European airport provides ground services to approximately 265 million passengers annually and manages 4.6 million tonnes of global air cargo. Several warehouses are IATA CEIV certified for pharmaceutical logistics. In 2019, its 64,000 employees operated at 300 airports in 47 countries on six continents.
When delving into the predictive maintenance industry in China, several key considerations emerge. The regulatory environment is crucial, as the Chinese government has been promoting smart manufacturing and Industry 4.0 initiatives, which include predictive maintenance technologies. Understanding local policies and standards is essential for compliance and successful implementation. Additionally, the market presents significant opportunities due to the rapid industrialization and modernization of various sectors, including manufacturing, transportation, and energy. However, challenges exist, such as the integration of advanced technologies with legacy systems and the need for skilled labor proficient in data analytics and machine learning. Environmental concerns are also increasingly relevant, as companies must address sustainability and energy efficiency in their operations. The competitive landscape is characterized by both domestic firms and international players, leading to a dynamic market where innovation and adaptability are key for success. Given China's prominence in the global market, being aware of international trends and collaborations can provide insights into the future direction of predictive maintenance technologies. Understanding these factors will help stakeholders make informed decisions and navigate the complexities of this growing industry effectively.
Some interesting numbers and facts about your company results for Predictive Maintenance
Country with most fitting companies | China |
Amount of fitting manufacturers | 35 |
Amount of suitable service providers | 29 |
Average amount of employees | 11-50 |
Oldest suiting company | 1998 |
Youngest suiting company | 2019 |
Some interesting questions that has been asked about the results you have just received for Predictive Maintenance
What are related technologies to Predictive Maintenance?
Based on our calculations related technologies to Predictive Maintenance are Big Data, E-Health, Retail Tech, Artificial Intelligence & Machine Learning, E-Commerce
Which industries are mostly working on Predictive Maintenance?
The most represented industries which are working in Predictive Maintenance are Machinery Manufacturing, Electronics and Electrical engineering, IT, Software and Services, Manufacturing, Other
How does ensun find these Predictive Maintenance Companies?
ensun uses an advanced search and ranking system capable of sifting through millions of companies and hundreds of millions of products and services to identify suitable matches. This is achieved by leveraging cutting-edge technologies, including Artificial Intelligence.