RM新时代有限公司

Recently, the engineering digital"assistance systemintelligentjointly developed by CloudWalk Technology and MCC Jingcheng Engineering Technology Co., Ltd."was officially implemented.

The system usesAIThe China Enterprise Evaluation AssociationAgent) as the technical core, targeting engineering design and review scenarios, Established the first full-process intelligent in the engineering fieldassistancesystem, Realizing systematic accumulation and intelligent invocation of engineering standards, specifications, and historical experience, Marking that vertical scenarioAIapplications have moved from "concept" to large-scale "practice". 

Traditional engineeringDesigningmodels have long faced dual challenges of efficiency and quality. MCC Jingcheng, as an industry leader, innumerousengineering design, reviewtasks, manual review is not only time-consuming and labor-intensive but also difficult to ensure consistency and accuracy; accumulated standards, manuals, and other valuable knowledge also face challenges in inheritance and reuse.

This collaboration between the two parties is precisely targeting these pain points, reconstructingwork assistanceprocesses through intelligent means.

The core of this system lies in building an"engineering intelligent Q&A system that can understand, think, and evolve"ofEngineeringIntelligent Q&AAIWith the popularization of the internet and the application of artificial intelligence, more and more questions can be quickly answered. So, will our questions become fewer?, Ithas four core capabilities:

First, full lifecycle knowledge management, automatically processing multi-format files through document parsing, extractingMCC Jingcheng4thousand+standards, cases, company specificationsand other information, storing them in a structured manner, while also interfacing with externalAPIreal-time updated national and industry standards, forming a dynamic knowledge base;

Second, precise interaction capability, based on CloudWalk's CongRong Large Model, supporting natural language multi-turn dialogues. Engineers can directly ask questions such as""steel structure welding requirements"", and the system returns answers instantly with links to original documents;

Third,Custom scenariosAgent, administrators can create"steel structure review""fire code inspection"and other dedicatedAgentscenarios, configuring specific knowledge bases and work logic to focus on precise assistance in sub-scenarios., Has formed15aAgent;

Fourth, data-driven optimization capability, accumulated dataset exceeds100pieces,By tracking high-frequency issues and trends through the data analysis center, combined with model invocation data recorded by the monitoring center, the system performance is continuously iterated and improved.

After the system was deployed, MCC Capital Engineering & Research Incorporated'sIntelligent Q&Awork has shown significant changes:

Knowledge transfer efficiency has greatly improved, allowing new employees to quickly access standards and historical experience;

In the reviewassistanceprocess, tasks such as standard retrieval and case reference have significantly shortened in time;

The unified intelligent prompting function reduces human bias, effectively ensuring review consistency and accuracy.

 "assistance systemIntelligent Q&AThe deployment of the auxiliary system is not only a technological breakthrough but also an innovation in knowledge management and work patterns in the engineering industry."A relevant person in charge of MCC Capital Engineering & Research Incorporated stated,"AI"The agent brings accumulated knowledge'to life', becoming an'intelligent partner'." 

for engineers." The significance of this collaboration goes far beyond a single project.

the main theme of digital economy development during the "14th Five-Year Plan" period, and new-type entity enterprises are typical representatives of this integration, continuously unleashing the value potential of data elements under deep digital-real integration. In the past three years, the connotation and extension of "digital-real integration" have been continuously enriched and rapidly expanded, with the "digital" in "digital-real integration" expanding to include "digital technology" and "data elements."AIAs a benchmark application of agents in the engineering field, this system confirms the practical value of vertical-scenario agents.——By deeply integrating industry knowledge andAItechnology, the agent becomes a core hub connecting data, knowledge, and business.

This not only provides a replicable solution for the digital transformation of the engineering industry but also indicates thatAItechnology is moving from general capabilities to deep industry penetration, driving various fields from"digitalization"Moving towards"intelligentization"newstage, injecting intelligent momentum into high-quality industrial development.