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At the technical level

• Sensor technology upgrade: More sensors with high precision, sensitivity, stability, and multi parameter measurement functions will be developed. For example, integrated sensors that can simultaneously monitor multiple physical quantities such as temperature, humidity, pressure, and displacement will also develop towards miniaturization and intelligence, enabling sensors to have self diagnostic, calibration, and data preprocessing capabilities.

• Intelligent data processing and analysis: Utilizing artificial intelligence algorithms such as deep learning and machine learning to deeply mine and analyze massive monitoring data can not only achieve automatic identification and warning of abnormal situations, but also predict the future state of engineering structures, such as by establishing structural health prediction models to predict the aging trend and potential failures of bridges, buildings, etc. in advance.

• Integration of Internet of Things and 5G Technology: With the help of the Internet of Things, comprehensive interconnection of engineering monitoring equipment can be achieved. Combined with the high-speed, low latency, and large capacity characteristics of 5G, monitoring data can be transmitted more quickly and stably, supporting more complex and larger monitoring systems, and achieving real-time remote monitoring of large-scale engineering facilities.

• Deep integration with BIM technology: Building Information Modeling (BIM) is further integrated with automated monitoring, combining monitoring data with 3D spatial information and building component information in BIM models to display project status in a more intuitive and visual way, facilitating comprehensive analysis and decision-making by management personnel, and achieving digital management of the entire lifecycle from design, construction to operation.

Application level

• Expansion of application areas: In addition to deep application in traditional engineering fields such as architecture, bridges, and water conservancy, it will also be widely expanded to fields such as agricultural infrastructure, marine engineering, and urban underground space. For example, achieving automated monitoring of environmental parameters and crop growth status in agricultural greenhouses, and real-time monitoring of structural safety, marine environment, etc. on offshore platforms.

• Multi domain collaborative monitoring: For some complex large-scale engineering or comprehensive projects, cross domain and multi-disciplinary collaborative monitoring will be achieved. For example, in the construction of smart cities, monitoring data from multiple fields such as transportation, energy, environmental protection, and security are integrated to form a comprehensive urban operation monitoring system, providing comprehensive data support for the refined management of cities.

system level

• Integration and Integration: Future engineering automation monitoring systems will integrate sensors, data collection, transmission, processing, analysis, and early warning into an organic whole. At the same time, they will also be integrated with other management systems of the project, such as construction management systems, operation and maintenance management systems, to improve the overall efficiency of engineering management.

• Cloud platform and big data center: Establish an engineering monitoring cloud platform and big data center to achieve centralized storage, management, and sharing of monitoring data, making it convenient for personnel from different regions and departments to access and use data anytime and anywhere. At the same time, it also facilitates comprehensive analysis and mining of data, providing more comprehensive and scientific basis for engineering decision-making.

Market and industry level

• Standardization and normalization: With the development of the engineering automation monitoring industry, relevant standards and specifications will continue to be improved and unified, including sensor performance standards, data transmission protocols, monitoring methods and processes, which will help improve the overall level of the industry and promote compatibility and interoperability between equipment and systems from different manufacturers.

• Service oriented and specialized: More professional engineering automation monitoring service providers will emerge, providing customers with one-stop services from monitoring scheme design, equipment installation and commissioning, data monitoring and analysis to report generation, promoting the development of the monitoring industry towards service-oriented direction, and also encouraging enterprises to continuously improve their professional technical level and service quality.