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系统集成业务
System integration business
时间：2025-08-16
在数字化浪潮席卷全球的当下，企业数字化转型已从“可选项”变为“必答题”。然而，多数企业面临着“信息孤岛”“系统异构”“数据割裂”等痛点——ERP系统与CRM平台数据不通，生产设备与管理软件无法联动，前端业务与后端支撑存在断层。我们的系统集成业务正是为破解这些难题而生，通过整合软硬件资源、重构业务流程、打通数据链路，为企业打造“统一、协同、高效”的数字化底座，让技术真正服务于业务增长。
In the current era where the digital wave is sweeping the world, the digital transformation of enterprises has changed from an "optional item" to a "must-answer question". However, most enterprises are faced with pain points such as "information silos", "heterogeneous systems" and "data fragmentation" - the data between the ERP system and the CRM platform is not connected, the production equipment and management software cannot be linked, and there is a gap between the front-end business and the back-end support. Our system integration business is born to solve these problems. By integrating software and hardware resources, reconstructing business processes, and connecting data links, we build a "unified, collaborative and efficient" digital foundation for enterprises, enabling technology to truly serve business growth.
系统集成绝非简单的软硬件堆砌或接口对接，而是以业务需求为导向的“全链条解决方案”。我们的服务覆盖从需求调研、架构设计到部署实施、运维保障的全生命周期，核心围绕“数据协同、流程协同、设备协同”三大维度展开。
System integration is by no means a simple stacking of software and hardware or interface docking, but a "full-chain solution" guided by business needs. Our services cover the entire life cycle from demand research, architecture design to deployment and implementation, operation and maintenance support, focusing on the three core dimensions of "data collaboration, process collaboration, and equipment collaboration".
我们通过数据中台建设、ETL数据抽取转换、API网关开发等技术手段，将企业内部分散在各系统中的客户数据、生产数据、财务数据、运营数据进行统一归集、清洗、标准化处理，构建集中式数据资源池。在制造业，我们帮助企业实现生产车间设备数据与ERP系统实时同步，让生产进度、物料消耗、质量检测等数据一键直达管理端，生产计划调整响应速度提升60%；在零售业，整合线上电商平台与线下门店的销售数据，通过数据分析为精准营销、库存优化提供决策支撑，某合作商超因此将库存周转效率提升35%。
Through technical means such as data middle platform construction, ETL data extraction and transformation, and API gateway development, we uniformly collect, clean and standardize the customer data, production data, financial data and operation data scattered in various systems within the enterprise, and build a centralized data resource pool. In the manufacturing industry, we help enterprises realize the real-time synchronization of production workshop equipment data and ERP system, allowing data such as production progress, material consumption, and quality inspection to reach the management end with one click, increasing the response speed of production plan adjustment by 60%. In the retail industry, we integrate the sales data of online e-commerce platforms and offline stores, and provide decision support for precise marketing and inventory optimization through data analysis. A cooperative supermarket has thus increased its inventory turnover efficiency by 35%.
针对企业多系统并行导致的业务流程繁琐问题，我们采用微服务架构、低代码平台等技术，对现有应用系统进行接口适配与流程重构，实现跨系统业务的自动化流转。在政务领域，为某政务服务中心整合行政审批、社保办理、工商登记等多个系统，构建“一网通办”平台，群众办事提交材料次数减少80%，平均办理时长从3个工作日缩短至4小时；在金融行业，打通银行核心系统、信贷系统与风控系统，实现贷款申请、审核、放款全流程线上化，业务办理效率提升70%，同时降低25%的人工风控误差。
To solve the problem of cumbersome business processes caused by the parallel operation of multiple systems in enterprises, we use technologies such as microservice architecture and low-code platforms to perform interface adaptation and process reconstruction on existing application systems, realizing the automatic flow of cross-system businesses. In the government affairs field, we integrated multiple systems such as administrative approval, social security handling, and industrial and commercial registration for a government service center, and built an "online one-stop" platform. The number of times the masses submit materials for handling affairs has been reduced by 80%, and the average handling time has been shortened from 3 working days to 4 hours. In the financial industry, we have connected the bank's core system, credit system and risk control system, realizing the online whole process of loan application, review and disbursement, improving business handling efficiency by 70% and reducing manual risk control errors by 25%.
结合物联网、边缘计算等技术，将工业传感器、智能终端、监控设备等硬件与管理软件、控制系统深度融合，打造“感知-分析-决策-执行”的闭环智能系统。在智慧工厂项目中，我们为生产线部署智能传感器，实时采集设备温度、振动、能耗等数据，通过边缘计算节点进行实时分析，异常情况自动触发预警并推送至运维平台，设备故障率降低40%，能耗下降15%；在智慧园区，整合视频监控、智能门禁、能耗管理等硬件设备与园区管理平台，实现人员、车辆、设施的全流程智能管控，园区运维成本降低30%。
Combining technologies such as the Internet of Things and edge computing, we deeply integrate hardware such as industrial sensors, intelligent terminals, and monitoring equipment with management software and control systems to build a closed-loop intelligent system of "perception-analysis-decision-execution". In the smart factory project, we deployed intelligent sensors for the production line to collect real-time data such as equipment temperature, vibration, and energy consumption, and conducted real-time analysis through edge computing nodes. Abnormal situations automatically trigger early warnings and push them to the operation and maintenance platform, reducing equipment failure rates by 40% and energy consumption by 15%. In the smart park, we integrated video surveillance, intelligent access control, energy consumption management and other hardware equipment with the park management platform, realizing the full-process intelligent management and control of personnel, vehicles and facilities, and reducing the park operation and maintenance cost by 30%.
在系统集成领域，“经验”与“技术”同等重要。我们凭借多年行业积累，形成了三大核心优势，成为企业数字化转型的可靠伙伴。
In the field of system integration, "experience" and "technology" are equally important. With years of industry accumulation, we have formed three core advantages and become a reliable partner for enterprises' digital transformation.
我们深耕制造业、政务、金融、零售、医疗等8大行业，服务超过500家企业客户，积累了丰富的行业Know-How。针对不同行业的业务特性，打造标准化与定制化结合的解决方案——例如制造业聚焦生产协同，政务领域侧重便民高效，金融行业突出安全合规，避免“一套方案用到底”的适配难题。
We have in-depth experience in 8 industries including manufacturing, government affairs, finance, retail, and medical care, serving more than 500 enterprise customers and accumulating rich industry know-how. According to the business characteristics of different industries, we create solutions that combine standardization and customization - for example, the manufacturing industry focuses on production collaboration, the government affairs field focuses on convenience and efficiency, and the financial industry highlights safety and compliance, avoiding the adaptation problem of "one set of solutions for all".
团队核心成员拥有平均10年以上系统集成经验，涵盖系统架构师、软件开发工程师、硬件调试工程师、数据分析师等全岗位人才，其中60%以上持有华为、微软、甲骨文等厂商的高级认证。从前期架构设计的合理性论证，到中期部署实施的精准高效，再到后期运维保障的及时响应，全流程提供专业技术支撑。
The core members of the team have an average of more than 10 years of system integration experience, covering full-position talents such as system architects, software development engineers, hardware debugging engineers, and data analysts. More than 60% of them hold advanced certifications from manufacturers such as Huawei, Microsoft, and Oracle. From the rationality demonstration of the early architecture design, to the accurate and efficient mid-term deployment and implementation, and then to the timely response of the later operation and maintenance support, professional technical support is provided throughout the process.
我们建立了“需求调研-方案设计-部署实施-测试验收-运维升级”的全生命周期服务体系。项目实施前进行全面的需求梳理与风险评估，实施中采用“小步快跑”的迭代模式，及时收集反馈并调整方案，实施后提供7×24小时运维服务，同时定期为系统进行升级优化，确保企业数字化系统始终适配业务发展需求。
We have established a full-life-cycle service system of "demand research - solution design - deployment and implementation - testing and acceptance - operation and maintenance upgrade". Before the project implementation, we conduct comprehensive demand sorting and risk assessment. During the implementation, we adopt an iterative model of "small steps and quick runs" to collect feedback and adjust the plan in a timely manner. After the implementation, we provide 7×24-hour operation and maintenance services, and regularly upgrade and optimize the system to ensure that the enterprise's digital system always adapts to the business development needs.
随着人工智能、大数据、云计算技术的不断发展，系统集成的边界正在持续拓展。未来，我们将重点布局“云边端一体化集成”“AI+行业集成”两大方向——在云边端领域，实现云端平台与边缘设备的无缝协同，满足企业实时计算与数据安全的双重需求；在AI融合领域，将人工智能算法嵌入集成系统，打造具备自主学习、智能决策能力的新一代数字化解决方案。
With the continuous development of artificial intelligence, big data, and cloud computing technologies, the boundaries of system integration are constantly expanding. In the future, we will focus on the two directions of "cloud-edge-terminal integrated integration" and "AI + industry integration". In the cloud-edge-terminal field, we will realize the seamless collaboration between the cloud platform and edge devices to meet the dual needs of enterprises for real-time computing and data security. In the field of AI integration, we will embed artificial intelligence algorithms into integrated systems to create a new generation of digital solutions with independent learning and intelligent decision-making capabilities.
我们坚信，系统集成不仅是技术的连接者，更是企业数字化转型的“总设计师”。未来，我们将继续以客户需求为核心，以技术创新为驱动，与企业携手打破数字壁垒，共同构建高效协同的智能新生态。
We firmly believe that system integration is not only a connector of technologies, but also the "chief designer" of enterprises' digital transformation. In the future, we will continue to focus on customer needs, driven by technological innovation, and work with enterprises to break digital barriers and jointly build an efficient and collaborative new intelligent ecosystem.
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