Aug 01, 2025

What are the main challenges faced by the cable industry in the process of intelligent transformation?

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In the process of intelligent transformation, the cable industry mainly faces the following challenges:

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At the technical level

 

• Imperfect standard specifications: International standards have not yet fully covered emerging technologies, cross-border projects face certification barriers, and online monitoring data for smart cables lack a unified access platform, making it difficult to achieve full lifecycle management. At the same time, there are numerous technical standards involved in intelligent upgrading, and the compatibility and interoperability between different standards are poor.

• Lagged detection technology: The detection technology is difficult to match the innovation speed, and there is a shortage of extreme environment simulation equipment. Some enterprises use "laboratory data" to replace real scene verification.

•Difficulty in technology integration and updating: Intelligent transformation requires the integration and application of various technologies such as the Internet of Things, big data, and artificial intelligence, which requires high technological integration capabilities for enterprises. Moreover, information technology updates and iterates rapidly, and enterprises need to constantly keep up with new technologies to maintain competitiveness.

•System integration and data security issues: Intelligent transformation involves the integration of multiple systems and devices, ensuring compatibility and collaborative work between various systems poses technical challenges. At the same time, a large amount of data is transmitted over the network, which poses security risks such as data leakage and tampering.

• Data processing challenge: Intelligent transformation requires a large number of sensor nodes to collect real-time data and transmit it to the data center through wireless networks. Ensuring the accuracy of data collection and the stability of transmission are key issues. And the amount of data generated by smart cables is enormous, requiring effective data fusion and analysis techniques to extract valuable information.

 

 

At the economic level

 

•Large initial investment: Intelligent transformation requires a significant amount of capital investment, including equipment procurement, system development, talent cultivation, etc.

• Increased operating costs: The maintenance and operation costs of intelligent devices are relatively high, posing a challenge to the financial situation of enterprises.

•Long return cycle: The return cycle of intelligent transformation is relatively long, and enterprises need to patiently wait for investment returns.

•Financing difficulties: Small and medium-sized enterprises often face financing difficulties in the process of intelligent transformation, which restricts their development.

•Market competition intensifies: With more companies joining the ranks of intelligent transformation, market competition will become even more intense.

 

At the level of the industrial chain

 

•Lack of synergy in the industrial chain: Cable manufacturers and new energy equipment suppliers have poor technical parameter integration, resulting in high customization costs. Some projects purchase low-quality cables to reduce costs, leading to the phenomenon of "bad money driving out good money" in the blind spot of supervision. Talent level

• Shortage of high-end talents: Intelligent transformation requires a large number of compound talents who understand both technology and management, and currently there is a relative shortage of such talents.

•Difficulty in employee skill transformation: Intelligent transformation requires employees to possess new skills, but there are certain difficulties in the skill transformation of existing employees.

• Imperfect talent cultivation system: The cable industry still has certain deficiencies in talent cultivation, making it difficult to meet the needs of intelligent transformation.

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