2026-07-31 15:07:23 +08:00

165 lines
11 KiB
JavaScript

import autoMessages from './en-US.auto.json'
export default {
common: {
language: 'Language',
chinese: 'Chinese',
english: 'English'
},
topbar: {
home: 'Home',
product: 'Products',
cases: 'Use Cases',
news: 'News',
login: 'Login',
registerNow: 'Sign Up',
console: 'Console',
switchZhSuccess: 'Switched to Chinese',
switchEnSuccess: 'Switched to English'
},
home: {
heroTitle: 'Make AI Everywhere, Make AI Easy',
heroSubtitle: '',
heroSlogan: 'Make AI Everywhere, Make AI Easy',
solutionsBtn: 'Solutions',
contactSalesBtn: 'Contact Sales',
aiSolutionsTitle: 'AI + Solutions',
successCasesTitle: 'Use Cases',
moreCases: 'View All Use Cases',
ctaTitle: 'How Do These Solutions Work in Practice?',
ctaDesc: 'Get industry-specific AI solutions.',
contactUsArrow: 'Contact Us →',
companyNewsTitle: 'Company News',
viewMore: 'View More →',
footerProducts: 'Products & Services',
footerContact: 'Contact Us',
onlineChat: 'Online Chat',
solutionCards: {
collaboration: {
title: 'Collaborative Intelligence',
subtitle: 'Multi-Agent Collaboration',
detailTitle: 'Collective Intelligence',
detailSubTitle: 'Multi-Agent Collaboration',
detailDesc: 'Multiple AI agents collaborate autonomously based on role specialization, completing the full workflow of information gathering, data analysis, logical reasoning, and conclusion generation. With dynamic task allocation and shared context, complex business decisions shift from human sequential workflows to parallel agent execution, significantly reducing cycle times for high-knowledge-density work.',
metrics: {
first: { value: '10x+', label: 'Knowledge work efficiency improvement' },
second: { value: 'Real-time', label: 'Multi-source information fusion' },
third: { value: 'High complexity', label: 'Decision scenario adaptability' }
}
},
spatial: {
title: 'Spatial Intelligence',
subtitle: 'GIS Intelligent Analysis',
detailTitle: 'Spatial Awakening',
detailSubTitle: 'GIS Intelligent Analysis',
detailDesc: 'Integrating Geographic Information Systems, satellite remote sensing imagery, and drone aerial photography, AI automatically identifies land feature boundaries, analyzes spatial relationships through overlay analysis, and verifies compliance constraints. Geographic spatial judgments that once required manual layer-by-layer comparison are now upgraded to automated spatial intelligence decisions delivered in minutes.',
metrics: {
first: { value: 'Days to minutes', label: 'Spatial analysis' },
second: { value: '90%+', label: 'Violation detection accuracy' },
third: { value: '70%', label: 'Labor cost savings' }
}
},
predictive: {
title: 'Predictive Insight',
subtitle: 'Intelligent Prediction Engine',
detailTitle: 'One Step Ahead',
detailSubTitle: 'Intelligent Prediction Engine',
detailDesc: 'Integrating physics-based models with data-driven approaches, the system collects real-time equipment operating parameters to autonomously identify early anomaly characteristics and accurately predict remaining useful life. Warnings are issued 72 hours before actual failure occurs, transforming maintenance from reactive repair to proactive defense and maximizing production continuity.',
metrics: {
first: { value: '95%+', label: 'Fault warning accuracy' },
second: { value: '60%', label: 'Unplanned downtime reduction' },
third: { value: '72 hours', label: 'Advance prediction lead time' }
}
},
vision: {
title: 'Insight into the Microscopic',
subtitle: 'Machine Vision Inspection',
detailTitle: 'Insight into the Microscopic',
detailSubTitle: 'Machine Vision Inspection',
detailDesc: 'Deep learning-based high-speed full-coverage defect detection for production lines, covering the entire quality inspection process including surface treatment, coating spraying, and welding assembly. This is not sampling inspection; every inch of product undergoes AI pixel-by-pixel comparison, completing defect identification and classification in milliseconds, ensuring zero compromise on product quality.',
metrics: {
first: { value: 'Milliseconds', label: 'Inspection speed' },
second: { value: '95%', label: 'Missed detection rate reduction' },
third: { value: '99.5%+', label: 'Identification accuracy' }
}
},
qa: {
title: 'Instant Answers',
subtitle: 'Intelligent Q&A Knowledge Base',
detailTitle: 'Instant Answers',
detailSubTitle: 'Intelligent Q&A Knowledge Base',
detailDesc: 'An AI-powered Q&A engine built on enterprise private knowledge bases, supporting natural language queries for business data, technical specifications, and policy documents. Every answer is automatically annotated with authoritative sources, ensuring information is traceable and verifiable. Expert-level knowledge is no longer locked in documents but available on demand, like asking a colleague.',
metrics: {
first: { value: '<3 sec', label: 'Response time' },
second: { value: '90%', label: 'Expert knowledge coverage' },
third: { value: '5x', label: 'Decision-making efficiency improvement' }
}
},
protection: {
title: 'Full Protection',
subtitle: 'Intelligent Device Monitoring',
detailTitle: 'Full Protection',
detailSubTitle: 'Intelligent Equipment Monitoring',
detailDesc: 'Building independent monitoring strategies for each device, with 3D visualization presenting real-time operating status. AI automatically identifies anomalies and highlights fault locations, while synchronously outputting detailed diagnostic recommendations and troubleshooting steps. Operations staff are liberated from being glued to screens hunting for issues; the system proactively tells you where the issue is and how to fix it.',
metrics: {
first: { value: '1000+', label: 'Monitoring points supported' },
second: { value: '<1 sec', label: 'Alert response' },
third: { value: '40%', label: 'Maintenance cost reduction' }
}
},
document: {
title: 'Read and Comprehend',
subtitle: 'Intelligent Document Parsing',
detailTitle: 'Read and Comprehend',
detailSubTitle: 'Intelligent Document Parsing',
detailDesc: 'Supporting one-click parsing of multiple formats including PDF, Word, and scanned documents. AI automatically extracts key clauses, qualification requirements, scoring criteria, and other core information for structured presentation. This is not simple OCR text recognition; it understands document semantics, judges information importance, and highlights risk points, making the core content of lengthy documents clear at a glance.',
metrics: {
first: { value: '98%+', label: 'Parsing accuracy' },
second: { value: '85%', label: 'Manual review time reduction' },
third: { value: 'Zero omission', label: 'Key information' }
}
},
edge: {
title: 'On-Site Intelligence',
subtitle: 'Edge AI Inference',
detailTitle: 'On-Site Intelligence',
detailSubTitle: 'Edge AI Inference',
detailDesc: 'Deploying AI inference capabilities at the edge of production sites, achieving millisecond-level real-time decisions through lightweight algorithms. Data does not need to be transmitted back to the cloud; sensing to judgment is completed locally, ensuring data never leaves the facility and zero-latency response. Redundant architecture guarantees 7x24 continuous operation with uninterrupted production line inspection.',
metrics: {
first: { value: '<50ms', label: 'Inference latency' },
second: { value: 'Local', label: 'Data processed on site' },
third: { value: '7x24h', label: 'Continuous operation' }
}
}
},
cases: {
railway: {
name: 'China Railway Group · Huitobid',
title: 'Smart Engineering',
desc: 'AI-driven full-stack bidding process - from bid document analysis to pricing compilation, delivering a significant improvement in win rates',
summary: 'Project Overview: Built the Huitobid and HuiTu Large Model for China Railway Group, establishing a Joint Innovation Center and an AI Application Innovation Platform. Covering the full bidding lifecycle - intelligent document analysis, automatic qualification matching, pricing decision support, and smart bid compilation - the solution enables a step-change transformation from manpower-heavy manual workflows to AI-powered bidding operations.'
},
forestry: {
name: 'Nanning Forestry Bureau',
title: 'Smart Harvesting',
desc: 'From harvesting approval to scientific oversight - spatial intelligence integration, enabling data-driven forest governance.',
summary: 'Project Overview: Developed an Intelligent Forest Harvesting Spatial Review System for Nanning Forestry Bureau, integrating GIS spatial analysis, satellite remote sensing, and multi-source data from Unmanned Aerial Vehicles (UAVs) and sensors to achieve unified intelligent review of spatial and attribute data. Harvesting boundaries are automatically verified for compliance, review reports are generated with one click, and the approval cycle is compressed from days to minutes - human-machine collaboration ensures every decision is evidence-based.'
},
beigang: {
name: 'Beibu Gulf Port Big Data',
title: 'AI-Powered Digital & Intelligent Transformation',
desc: 'From bidding to decision-making, from contracts to management - a full-stack AI agent solution that keeps your business one step ahead.',
summary: 'Project Overview: Developed a full-stack AI agent solution for Beibu Gulf Port Big Data, covering bidding & tendering, investment decision-making, and contract review. The Bid Agent Engine enables bid document generation in seconds with a significantly improved win rate; the Investment Strategy Agent Engine compresses weeks of research reports into minutes, supporting precise investment decisions; and the Contract Review Agent boosts review efficiency by over 60% while reducing the risk oversight rate to below 3%. The three products are seamlessly integrated, truly closing the digital loop from business acquisition to risk management.'
}
},
news: {
tag: 'Company News',
firstTitle: 'Open Computing AI Visits ASEAN with CCPIT',
firstDesc: 'Open Computing AI joined the CCPIT Guangxi branch delegation on business visits to Vietnam and Laos, where it engaged in deep discussions on AI agent deployment, cross-border digital infrastructure cooperation, and smart city solutions — further expanding its footprint in Southeast Asian markets.',
secondTitle: 'Open Computing AI Named Forbes China AI Commercial Application Demonstration Enterprise',
secondDesc: 'Recognized for its industrial-grade AI agent factory delivery capabilities and benchmark cases among central and state-owned enterprises, Open Computing AI was named a Forbes China AI Commercial Application Demonstration Enterprise — underscoring its leadership in turning AI technology into scalable, real-world industry solutions.'
}
},
...autoMessages
}