WO2021258235A1

WO2021258235A1 - Smart factory data collection platform and implementation method therefor

Info

Publication number: WO2021258235A1
Application number: PCT/CN2020/097323
Authority: WO
Inventors: 白江涛; 唐丽; 赵忠
Original assignee: 西安市双合软件技术有限公司; 深圳市双合电气股份有限公司
Priority date: 2020-06-22
Filing date: 2020-06-22
Publication date: 2021-12-30
Also published as: CN112041867A

Abstract

A smart factory data collection platform and an implementation method therefor. The smart factory data collection platform comprises: a smart collection layer (10), which is used to collect and integrate production process data at various levels of various production steps in a factory; an information integration layer (20), which is used to integrate operation information data of various steps of operation and management in the factory; and a data platform layer (30), which is used to classify the production process data as a production data flow and classify the operation information data as an operation information flow, map the production process data and operation information data according to the classifications of "human, machine, material, method and environment" to obtain a management information flow, and establish a unified time reference-based smart factory comprehensive four-dimensional data model that comprises the production data flow, the operation information flow, and the management information flow. Data support can be provided for smart application data mining and smart decision-making by a smart factory, which can further optimize a production process and construct a more flexible and open, scalable smart factory.

Description

智能工厂数据采集平台及其实施方法Intelligent factory data collection platform and its implementation method

技术领域Technical field

本发明涉及智能工厂建设技术领域，尤其涉及一种智能工厂数据采集平台及其实施方法。The invention relates to the technical field of smart factory construction, in particular to a smart factory data collection platform and an implementation method thereof.

背景技术Background technique

在工业4.0、中国制造2025的大背景下，流程制造工业企业转变发展模式，加快智能工厂的建设成为大势所趋。In the context of Industry 4.0 and Made in China 2025, it has become a general trend for process manufacturing companies to transform their development models and accelerate the construction of smart factories.

智能工厂是实现智能制造的重要载体，主要通过构建智能化生产***、网络化分布生产设施，实现生产过程的智能化。智能工厂已经具有了自主能力，可采集、分析、判断、规划；通过整体可视技术进行推理预测，利用仿真及多媒体技术，将实境扩增展示设计与制造过程。***中各组成部分可自行组成最佳***结构，具备协调、重组及扩充特性。已***具备了自我学习、自行维护能力。因此，智能工厂实现了人与机器的相互协调合作，其本质是人机交互。Smart factory is an important carrier to realize smart manufacturing. It mainly realizes smart production process by constructing smart production system and networked distributed production facilities. Smart factories already have autonomous capabilities to collect, analyze, judge, and plan; use overall visual technology to make inferences and predictions, and use simulation and multimedia technology to expand the reality of the design and manufacturing process. Each component in the system can form the best system structure by itself, with the characteristics of coordination, reorganization and expansion. The system has the ability of self-learning and self-maintenance. Therefore, the smart factory realizes the mutual coordination and cooperation between humans and machines, and its essence is human-computer interaction.

公开号为“CN108241343A”的中国发明专利，公开了一种智能工厂管理平台***，包括：智能感知层，用于对生产过程中各个信息源的数据进行汇总、整理和存储；智能数据分析层，用于对采集的各类数据进行实时分析，对设备的健康状态和产品的质量状态进行监测、评估和预测，并将分析结果在可视化人机交互界面中显示，产生相应的决策支持建议；管理与决策层，用于将分析结果和决策建议按需推送给公司管理的各个部门，为上层信息***提供决策和计划依据。The Chinese invention patent with the publication number "CN108241343A" discloses a smart factory management platform system, including: an intelligent perception layer, used to summarize, sort and store data from various information sources in the production process; an intelligent data analysis layer, It is used for real-time analysis of various collected data, monitoring, evaluating and predicting the health status of equipment and product quality status, and displaying the analysis results in the visual human-computer interaction interface to generate corresponding decision support recommendations; management With the decision-making level, it is used to push the analysis results and decision-making suggestions to the various departments of the company's management as needed, and provide the decision-making and planning basis for the upper-level information system.

公开号为“CN108171422A”的中国发明专利，公开了一种钢铁智能工厂的平台构建方法，通过连接企业物联网与产业互联网，建立云计算中心和大数据中心，将企业物联网中的工业大数据采集、存储、计算实现企业研发、生产、质量、管控智能化。首先建立决策支持平台、运营管理平台、仿真模拟平台，再以这三个平台为基础，建立多个智能管理流程。多个智能管理流程包括：智能产品研发流程、智能质量管控流程、智能生产协同流程、智能物流仓储流程、智能能源及环境管控流程、智能营销服务流程、智能决策支持流程。The Chinese invention patent with the publication number "CN108171422A" discloses a platform construction method for a steel smart factory. By connecting the enterprise Internet of Things and the industrial Internet, a cloud computing center and a big data center are established to integrate the industrial big data in the enterprise Internet of Things. Collection, storage, and calculation realize enterprise R&D, production, quality, management and control intelligence. First, establish a decision support platform, an operation management platform, and a simulation platform, and then build multiple intelligent management processes based on these three platforms. Multiple intelligent management processes include: intelligent product development process, intelligent quality control process, intelligent production coordination process, intelligent logistics warehousing process, intelligent energy and environmental control process, intelligent marketing service process, intelligent decision support process.

目前工业企业都有建设智能工厂的意愿，但普遍存在的问题是在“两化”(信息化与自动化)融合智能工厂的建设中缺少整体规划和统一标准，不同行业的工业企业在构建智能工厂的过程中，智能化程度不一，很多应该只能算是信息化工厂。At present, industrial enterprises are willing to build smart factories, but the common problem is the lack of overall planning and unified standards in the construction of "informatization and automation" (informatization and automation) integrated smart factories. Industrial enterprises in different industries are building smart factories. In the process, the degree of intelligence varies, and many of them should only be regarded as information factories.

智能工厂的构建方法比较多，但是基本的思路都是采用***集成的方法，将企业现有的***进行集成，并在此基础上，增加新的智能管理模块，提供整体的智能工厂平台。目前智能工厂构建过程中的数据采集都是将现有***的数据集成，侧重点都在***应用层各个功能模块的开发，而对智能工厂的基础——生产数据重视不够。此种情况下，由于数据缺失、遗漏、错误等情况导致的数据分析失败时有发生，也导致了智能工厂的优化控制等模块现场实用度不高；在数据应用过程中，数据的关联度不高，导致采集上来的很多数据无法深入应用，只是展示，导致数据资源的浪费；所有的生产过程数据全部上送至智能工厂平台，通讯压力导致数据丢失时有发生或是为了缓解通讯压力配置更高级的数据传输通道，增加智能工厂建设成本；智能工厂的数据还是按照原有各个子***的数据结构进行存储，在进行数据关联查找时很难打破原有***的壁垒，实际智能工厂的各个高级应用模块只是原有子***的功能升级，无法将科学的管理理念与智能工厂的应用模块结合，无法持续对生产流程优化，智能工厂的灵活扩展性和可成长性较差。There are many ways to build a smart factory, but the basic idea is to adopt a system integration method to integrate the company's existing systems, and on this basis, add new smart management modules to provide an overall smart factory platform. At present, data collection in the process of building a smart factory is to integrate the data of the existing system, focusing on the development of each functional module of the system application layer, but not enough attention is paid to the basis of the smart factory-production data. In this case, data analysis failures due to missing data, omissions, errors, etc. occur from time to time, which also leads to the low on-site practicality of modules such as optimized control of smart factories; in the process of data application, the degree of data relevance is not high. High, resulting in a lot of data collected cannot be applied in depth, but only displayed, resulting in a waste of data resources; all production process data are all uploaded to the smart factory platform, communication pressure causes data loss from time to time or configuration changes to relieve communication pressure Advanced data transmission channels increase the cost of smart factory construction; smart factory data is still stored in accordance with the original data structure of each subsystem, and it is difficult to break the barriers of the original system when performing data association searches. The actual advanced smart factories The application module is only a functional upgrade of the original subsystem. It cannot combine scientific management concepts with the application modules of the smart factory, and cannot continue to optimize the production process. The smart factory has poor flexibility and growth.

发明内容Summary of the invention

本发明的第一个目的是提供一种智能工厂数据采集平台。该平台可用于智能工厂建设，特别是石化、钢铁、冶金、建材、纺织、造纸、医药、食品等流程制造领域的智能工厂建设。本发明的第二个目的是提供一种智能工厂数据采集平台的实施方法。The first object of the present invention is to provide a smart factory data collection platform. The platform can be used for the construction of smart factories, especially in the fields of petrochemical, steel, metallurgy, building materials, textile, paper, medicine, food and other process manufacturing fields. The second object of the present invention is to provide an implementation method of a smart factory data collection platform.

为实现上述目的，本发明采用如下技术方案。In order to achieve the above objective, the present invention adopts the following technical solutions.

第一方面，提供一种智能工厂数据采集平台，包括智能采集层、信息整合层和数据平台层；所述智能采集层，用于对工厂内各个生产环节的各个层级的生产过程数据进行数据采集和整合，所述生产环节的各个层级包括基础元器件、感知设备、生产设备、工艺单元和生产线中部分或全部；所述信息整合层，用于对工厂内经营管理的各个环节的经营信息数据进行整合，所述经营管理的各个环节包括销售管理、库存管理、供应管理、财务管理、生产管理、质量管理、设备管理、能源管理、人事管理中的部分或全部；所述数据平台层，用于将生产过程数据归类为生产数据流，将经营信息数据归类为经营信息流；将工厂内的生产过程数据和经营信息数据，按照“人、机、料、法、环”分类进行映射得到管理信息流；建立基于统一时间基准的、包含生产数据流、经营信息流、管理信息流的智能工厂综合四维数据模型。In the first aspect, a smart factory data collection platform is provided, which includes an smart collection layer, an information integration layer, and a data platform layer; the smart collection layer is used for data collection of production process data at each level of each production link in the factory And integration, the various levels of the production link include basic components, sensing equipment, production equipment, process units, and some or all of the production line; the information integration layer is used to manage the business information data of each link in the factory For integration, the various links of the operation management include sales management, inventory management, supply management, financial management, production management, quality management, equipment management, energy management, and personnel management part or all; the data platform layer uses To classify production process data as production data flow, and classify business information data as business information flow; map production process data and business information data in the factory according to the classification of "human, machine, material, law, and environment" Obtain the management information flow; establish a comprehensive four-dimensional data model of the smart factory based on the unified time base, including the production data flow, the management information flow, and the management information flow.

在一种可能的实现方式中，所述智能采集层采用分布式部署，包括多台智能采集设备，所述智能采集设备包括第一数据采集模块、边缘计算模块和第一通讯传输模块；所述第一数据采集模块，用于采集生产过程数据，并为采集的生产过程数据添加时间标，其中，添加的时间标包括数据原始时间和数据采集时间，采集的生产过程数据包括生产效率数据、物料或能源投入产出量数据、投入产出物料或能源质量数据、生产工艺参数数据、生产设备状态数据、生产环境质量数据以及生产过程视频数据中的部分或全部；所述边缘计算模块，用于对所述第一数据采集模块采集的生产过程数据进行整合处理，所述整合处理包括数据清洗、异常数据标记、故障数据标记、数据统计计算以及数据分类；所述第一通讯传输模块，用于通过有线或无线的方式将所述边缘计算模块处理好的生产过程数据上送至数据平台层。In a possible implementation manner, the smart collection layer adopts distributed deployment and includes multiple smart collection devices, and the smart collection device includes a first data collection module, an edge computing module, and a first communication transmission module; The first data collection module is used to collect production process data and add time stamps to the collected production process data. The added time stamps include data original time and data collection time. The collected production process data includes production efficiency data and materials Or part or all of energy input and output data, input and output materials or energy quality data, production process parameter data, production equipment status data, production environment quality data, and production process video data; the edge computing module is used for The production process data collected by the first data collection module is integrated and processed, and the integrated processing includes data cleaning, abnormal data marking, fault data marking, data statistical calculation, and data classification; the first communication transmission module is used for The production process data processed by the edge computing module is sent to the data platform layer in a wired or wireless manner.

可选的，所述数据清洗包括：数据完整性清洗、数据唯一性清洗、数据权威性清洗、数据合法性清洗和数据一致性清洗。Optionally, the data cleaning includes: data integrity cleaning, data uniqueness cleaning, data authority cleaning, data legality cleaning, and data consistency cleaning.

在一种可能的实现方式中，所述信息整合层采用集中式部署，包括第二数据采集模块、数据清洗模块和第二通讯传输模块；所述第二数据采集模块，用于连接工厂内经营管理的各个环节所采用的管理***，从各个管理***获取经营信息数据；所述数据清洗模块，用于对所述第二数据采集模块获取的经营信息数据进行数据清洗处理；所述第二通讯传输模块，用于通过有线或无线的方式将所述数据清洗模块处理好的经营信息数据上送至数据平台层。In a possible implementation manner, the information integration layer adopts a centralized deployment, and includes a second data collection module, a data cleaning module, and a second communication transmission module; the second data collection module is used to connect the operations in the factory The management system used in each link of management obtains business information data from each management system; the data cleaning module is used to perform data cleaning processing on the business information data acquired by the second data collection module; the second communication The transmission module is used to send the business information data processed by the data cleaning module to the data platform layer in a wired or wireless manner.

可选的，所述第二数据采集模块包括：***信息整合子模块，用于整合工厂内已有的各个管理***中的经营信息数据；手动信息整合子模块，用于整合工厂业务流中、无法从已有的经营管理***获取的经营信息数据；配置子模块，用于配置所述***信息整合子模块和所述手动信息整合子模块。Optionally, the second data collection module includes: a system information integration sub-module, used to integrate business information data in various management systems existing in the factory; a manual information integration sub-module, used to integrate the business flow of the factory, Business information data that cannot be obtained from an existing business management system; a configuration sub-module for configuring the system information integration sub-module and the manual information integration sub-module.

可选的，所述数据清洗模块，具体用于对获取的经营信息数据进行数据完整性清洗、数据唯一性清洗、数据权威性清洗、数据合法性清洗和数据一致性清洗。Optionally, the data cleaning module is specifically configured to perform data integrity cleaning, data uniqueness cleaning, data authority cleaning, data legality cleaning, and data consistency cleaning on the acquired business information data.

在一种可能的实现方式中，所述数据平台层包括数据缓存模块、数据模型匹配模块、数据存储模块和通讯模块；所述数据缓存模块，用于对所述智能采集层和所述信息整合层上传的数据进行缓存；所述数据模型匹配模块，用于将来自于智能采集层的生产过程数据归类为生产数据流，将来自于信息整合层的经营信息数据归类为经营信息流；按照“人、机、料、法、环”的分类建立管理信息流模型，通过对管理信息流模型中各类型的数据范围设定，将生产数据流和经营信息流的数据映射到管理信息流模型得到管理信息流；以时间为联络线，构建基于统一时间基准的、包含生产数据流、经营信息流、管理信息流的智能工厂综合四维数据模型；所述数据存储模块，用于采用数据仓库的架构对构建的智能工厂综合四维数据模型进行数据存储；所述通讯模块，用于进行数据通讯配置，为其它智能功能平台提供不同类型的数据通讯接口。In a possible implementation, the data platform layer includes a data cache module, a data model matching module, a data storage module, and a communication module; the data cache module is used to integrate the intelligent acquisition layer with the information The data uploaded by the layer is cached; the data model matching module is used to classify the production process data from the intelligent collection layer as a production data flow, and classify the business information data from the information integration layer as a business information flow; Establish a management information flow model according to the classification of "human, machine, material, law, and circle", and map the production data flow and business information flow data to the management information flow by setting the range of various types of data in the management information flow model The model obtains the management information flow; taking time as the tie line, constructing a comprehensive four-dimensional data model of the smart factory based on a unified time benchmark, including production data flow, operation information flow, and management information flow; the data storage module is used to adopt a data warehouse The structure of the smart factory is constructed to store data in the integrated four-dimensional data model of the smart factory; the communication module is used for data communication configuration and provides different types of data communication interfaces for other intelligent function platforms.

可选的，所述数据模型匹配模块，包括模型配置子模块和数据匹配子模块；所述模型配置子模块，用于配置包含了生产数据流、经营信息流、管理信息流和时间的智能工厂综合四维数据模型；将来自于智能采集层的生产过程数据归类为生产数据流，按照工厂内各个生产环节的各个层级的树形结构进行纵向分层建模；将来自于信息整合层的经营信息数据归类为经营信息流，按照工厂内经营管理的各个环节进行横向分类建模；按照“人、机、料、法、环”的分类建立管理信息流模型，通过对管理信息流模型中各类型的数据范围设定，将生产数据流和经营信息流的数据映射到管理信息流模型得到管理信息流；所述数据匹配子模块，用于将智能采集层上传的生产过程数据，按照生产数据流模型进行分类，并打上相应的数据标签；将信息整合层上传的经营信息数据数据，按照经营信息流模型进行分类，并打上相应的数据标签；根据建立好的智能工厂综合四维数据模型，将接收的数据打上带有时间的四维标签；建立起以时间为联络线，基于统一时间基准的、包含生产数据流、经营信息流、管理信息流的智能工厂综合四维数据模型。Optionally, the data model matching module includes a model configuration submodule and a data matching submodule; the model configuration submodule is used to configure a smart factory that includes production data flow, business information flow, management information flow and time Comprehensive four-dimensional data model; classify the production process data from the intelligent collection layer into production data streams, and perform vertical hierarchical modeling according to the tree structure of each level of each production link in the factory; integrate the management from the information integration layer Information data is categorized as business information flow, and horizontally classified and modeled according to the various links of the operation and management in the factory; the management information flow model is established according to the classification of "people, machine, material, law, and environment", and through the management information flow model Set various types of data ranges, map the production data flow and business information flow data to the management information flow model to obtain the management information flow; the data matching sub-module is used to upload the production process data uploaded by the intelligent collection layer according to the production The data flow model is classified and marked with corresponding data labels; the business information data uploaded by the information integration layer is classified according to the business information flow model, and the corresponding data labels are marked; according to the established smart factory integrated four-dimensional data model, Label the received data with a four-dimensional label with time; establish a comprehensive four-dimensional data model of a smart factory that takes time as the tie line and is based on a unified time benchmark, including production data flow, business information flow, and management information flow.

在一种可能的实现方式中，还包括时间同步装置，该时间同步装置用于为所述智能采集层和所述信息整合层提供精确一致的时间信号。In a possible implementation manner, a time synchronization device is further included, and the time synchronization device is used to provide accurate and consistent time signals for the intelligent collection layer and the information integration layer.

第二方面，提供一种如上所述智能工厂数据采集平台的实施方法，包括以下步骤：智能采集层对工厂内各个生产环节的各个层级的生产过程数据进行数据采集和整合，所述生产环节的各个层级包括基础元器件、感知设备、生产设备、工艺单元和生产线中部分或全部；智能采集层通过时间同步装置获取精确一致的时间信号；信息整合层对工厂内经营管理的各个环节的经营信息数据进行整合，所述经营管理的各个环节包括销售管理、库存管理、供应管理、财务管理、生产管理、质量管理、设备管理、能源管理、人事管理中的部分或全部；信息整合层通过时间同步装置获取精确一致的时间信号；数据平台层从智能采集层获取生产过程数据，从信息整合层获取经营信息数据，将生产过程数据归类为生产数据流，将经营信息数据归类为经营信息流；将工厂内的生产过程数据和经营信息数据，按照“人、机、料、法、环”分类进行映射得到管理信息流；建立基于统一时间基准的、包含生产数据流、经营信息流、管理信息流的智能工厂综合四维数据模型。In a second aspect, a method for implementing the smart factory data collection platform as described above is provided, which includes the following steps: the smart collection layer collects and integrates the production process data of each level of each production link in the factory. Each level includes basic components, sensing equipment, production equipment, process units and part or all of the production line; the intelligent acquisition layer obtains accurate and consistent time signals through the time synchronization device; the information integration layer provides management information for all aspects of the factory management Data is integrated. Each link of the operation management includes sales management, inventory management, supply management, financial management, production management, quality management, equipment management, energy management, and personnel management. The information integration layer synchronizes through time. The device obtains accurate and consistent time signals; the data platform layer obtains production process data from the intelligent collection layer, obtains operating information data from the information integration layer, classifies production process data as production data flow, and classifies operating information data as business information flow ; Map the production process data and business information data in the factory according to the classification of "human, machine, material, law, and environment" to obtain the management information flow; establish a unified time basis that includes production data flow, business information flow, and management The integrated four-dimensional data model of the intelligent factory of information flow.

通过采用上述技术方案，本发明取得技术效果如下：By adopting the above technical solutions, the present invention achieves the following technical effects:

本发明的技术方案是为智能工厂建设提供一种更为完善和科学的智能工厂数据采集平台，可以兼顾已有生产监控***的数据，可以融合已有生产管理***的数据，实现工厂内横向(例如采购、生产、质检、仓储、物流、营销等)经营信息数据和纵向(例如从基础元器件到感知设备、生产设备、工艺单元、生产线等)生产过程数据的采集和整合，并映射至工厂管理的“人、机、料、法、环”各个环节，构成以“人、机、料、法、环”管理思想为核心的智能工厂综合四维数据模型，用来为智能工厂的智能应用(例如智能生产管理、智能成本管理、智能设备管理、智能检维修管理、智能能源管理、智能质量管理等)进行数据挖掘和智能决策提供数据支撑。The technical scheme of the present invention is to provide a more complete and scientific smart factory data collection platform for the construction of smart factories, which can take into account the data of the existing production monitoring system, can integrate the data of the existing production management system, and realize the horizontal ( Such as procurement, production, quality inspection, warehousing, logistics, marketing, etc.) business information data and vertical (such as from basic components to sensing equipment, production equipment, process units, production lines, etc.) the collection and integration of production process data, and map to The various links of “human, machine, material, law, and environment” of factory management constitute a comprehensive four-dimensional data model of the smart factory with the management idea of “human, machine, material, law, and environment” as the core, which is used to provide intelligent applications for smart factories. (Such as intelligent production management, intelligent cost management, intelligent equipment management, intelligent inspection and maintenance management, intelligent energy management, intelligent quality management, etc.) to provide data support for data mining and intelligent decision-making.

其中，人机料法环是对全面质量管理理论中的五个影响产品质量的主要因素的简称。人，指制造产品的人员；机，制造产品所用的设备；料，指制造产品所使用的原材料；法，指制造产品所使用的方法；环，指产品制造过程中所处的环境。而智能生产就是以智能工厂为核心，将人、机、法、料、环连接起来，多维度融合的过程。Among them, the man-machine material law ring is the abbreviation for the five main factors affecting product quality in the total quality management theory. Person refers to the person who manufactures the product; machine refers to the equipment used to manufacture the product; material refers to the raw material used to manufacture the product; law refers to the method used to manufacture the product; ring refers to the environment in which the product is manufactured. And smart production is a process of multi-dimensional integration with smart factories as the core, connecting people, machines, methods, materials, and loops.

本发明的智能工厂数据采集平台，是对工厂生产、经营、管理全维度数据的采集和整理，并基于先进的管理理念映射建模，为智能工厂在建设发展过程中，随着对技术发展和数据认识的加深，提供更加深入挖掘应用数据的可能性。相比基于***/功能集成式的智能工厂，在此数据采集平台的基础上可以进一步对生产流程优化，构建更加灵活开放的可成长式智能工厂。The smart factory data collection platform of the present invention collects and organizes the full-dimensional data of factory production, operation, and management, and is based on advanced management concepts to map and model the smart factory. In the process of construction and development of the smart factory, with the development of technology and The deepening of data understanding provides the possibility of more in-depth mining of application data. Compared with a smart factory based on system/function integration, the production process can be further optimized on the basis of this data collection platform, and a more flexible and open growth smart factory can be constructed.

进一步的，本发明的智能工厂数据采集平台，在集成数据的基础上，对数据在边缘侧进行清洗，整合高质量的生产过程多维数据，可避免由于数据缺失、遗漏、错误等情况导致的数据分析失败，保障了数据挖掘结果的正确性。Furthermore, the smart factory data collection platform of the present invention cleans the data at the edge on the basis of integrated data, integrates high-quality multi-dimensional data in the production process, and can avoid data caused by missing, missing, and incorrect data. The analysis failed to ensure the correctness of the data mining results.

进一步的，本发明的智能工厂数据采集平台，在采集数据时同时对数据进行计算，提供异常、故障等数据的就地分析，保障了生产异常及故障处理的及时性。平台对采集到的数据进行统计分析，后期智能工厂平台可以根据应用需求获取不同颗粒度的数据，减少了大量数据传输的通讯压力。Further, the smart factory data collection platform of the present invention calculates the data at the same time when collecting data, provides on-site analysis of abnormality, failure and other data, and ensures the timeliness of processing abnormalities and failures in production. The platform performs statistical analysis on the collected data, and the later intelligent factory platform can obtain data of different granularities according to application requirements, reducing the communication pressure of a large amount of data transmission.

进一步的，本发明的智能工厂数据采集平台，基于统一模型的理念，将生产过程的状态数据与生产经营管理活动数据通过“人、机、料、法、环”进行关联，基于关联的模型数据，用户可以对生产过程中的任意问题，采用“人、机、料、法、环”的全面质量管理理论，深入分析问题原因，提取问题链上的关联数据和证据，逐本溯源，制定根治问题和优化管理的措施，保障安全高效的生产。Further, the smart factory data collection platform of the present invention, based on the concept of a unified model, associates the status data of the production process with the production and operation management activity data through "human, machine, material, method, and environment", based on the associated model data , Users can apply the comprehensive quality management theory of “human, machine, material, law, and environment” to any problem in the production process, analyze the cause of the problem in depth, extract the related data and evidence in the problem chain, trace the source one by one, and formulate a radical cure Problems and optimized management measures to ensure safe and efficient production.

进一步的，本发明的智能工厂数据采集平台，基于适用于流程制造工业的“人、机、料、法、环”科学管理理念，具有灵活的框架结构，适用于水泥、钢铁、冶金等流程制造工业，通用性强。Further, the smart factory data collection platform of the present invention is based on the scientific management concept of "human, machine, material, law, and environment" suitable for the process manufacturing industry, has a flexible frame structure, and is suitable for process manufacturing such as cement, steel, metallurgy, etc. Industrial, strong versatility.

附图说明Description of the drawings

为了更清楚地说明本发明实施例技术方案，下面将对实施例和现有技术描述中所需要使用的附图作简单地介绍，显而易见地，下面描述中的附图仅仅是本发明的一些实施例，对于本领域普通技术人员来讲，在不付出创造性劳动的前提下，还可以根据这些附图获得其它的附图。In order to explain the technical solutions of the embodiments of the present invention more clearly, the following will briefly introduce the embodiments and the accompanying drawings needed in the description of the prior art. Obviously, the drawings in the following description are only some implementations of the present invention. For example, for those of ordinary skill in the art, without creative work, other drawings can be obtained from these drawings.

图1是本发明一个实施例中智能工厂数据采集平台的框架结构图；Figure 1 is a frame structure diagram of a smart factory data collection platform in an embodiment of the present invention;

图2是本发明一个实施例中智能工厂综合四维数据模型的架构示意图；Figure 2 is a schematic diagram of the architecture of an integrated four-dimensional data model of a smart factory in an embodiment of the present invention;

图3是本发明一个实施例中智能采集层的结构示意图；Figure 3 is a schematic diagram of the structure of an intelligent acquisition layer in an embodiment of the present invention;

图4是本发明一个实施例中信息整合层的结构示意图；4 is a schematic diagram of the structure of an information integration layer in an embodiment of the present invention;

图5是本发明一个实施例中数据平台层的结构示意图；Figure 5 is a schematic diagram of the structure of the data platform layer in an embodiment of the present invention;

图6是本发明一个实施例中生产数据流的分层模型图；Figure 6 is a hierarchical model diagram of the production data flow in an embodiment of the present invention;

图7是本发明一个实施例中智能工厂数据平台实施流程图。Figure 7 is a flow chart of the implementation of a smart factory data platform in an embodiment of the present invention.

具体实施方式detailed description

为了使本技术领域的人员更好地理解本发明方案，下面将结合本发明实施例中的附图，对本发明实施例中的技术方案进行清楚、完整地描述，显然，所描述的实施例仅仅是本发明一部分的实施例，而不是全部的实施例。基于本发明中的实施例，本领域普通技术人员在没有做出创造性劳动前提下所获得的所有其他实施例，都应当属于本发明保护的范围。In order to enable those skilled in the art to better understand the solutions of the present invention, the technical solutions in the embodiments of the present invention will be described clearly and completely in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only It is a part of the embodiments of the present invention, not all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative work shall fall within the protection scope of the present invention.

本发明的说明书和权利要求书及上述附图中的术语“第一”、“第二”、“第三”等是用于区别不同的对象，而不是用于描述特定顺序。此外，术语“包括”和“具有”以及它们任何变形，意图在于覆盖不排他的包含。例如包含了一系列步骤或单元的过程、方法、***、产品或设备没有限定于已列出的步骤或单元，而是可选地还包括没有列出的步骤或单元，或可选地还包括对于这些过程、方法、产品或设备固有的其它步骤或单元。The terms "first", "second", "third", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish different objects, rather than to describe a specific order. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product, or device that includes a series of steps or units is not limited to the listed steps or units, but optionally includes unlisted steps or units, or optionally also includes Other steps or units inherent in these processes, methods, products or equipment.

下面通过具体实施例，进行详细的说明。A detailed description will be given below through specific embodiments.

请参考图1和图2，本发明的一个实施例，提供一种智能工厂数据采集平台，该平台包括智能采集层10、信息整合层20和数据平台层30。Please refer to FIG. 1 and FIG. 2, an embodiment of the present invention provides a smart factory data collection platform. The platform includes a smart collection layer 10, an information integration layer 20 and a data platform layer 30.

所述智能采集层10，用于对工厂内各个生产环节的各个层级的生产过程数据进行数据采集和整合，所述生产环节的各个层级包括基础元器件、感知设备、生产设备、工艺单元和生产线中部分或全部；The intelligent collection layer 10 is used for data collection and integration of the production process data of each level of each production link in the factory. Each level of the production link includes basic components, sensing equipment, production equipment, process units, and production lines. Part or all of

所述信息整合层20，用于对工厂内经营管理的各个环节的经营信息数据进行整合，所述经营管理的各个环节包括销售管理、库存管理、供应管理、财务管理、生产管理、质量管理、设备管理、能源管理、人事管理中的部分或全部；The information integration layer 20 is used to integrate the business information data of various links in the operation and management of the factory. Each link of the operation and management includes sales management, inventory management, supply management, financial management, production management, quality management, Part or all of equipment management, energy management, and personnel management;

所述数据平台层30，用于将来自于智能采集层10的生产过程数据归类为生产数据流，将来自于信息整合层的经营信息数据归类为经营信息流；将工厂内的生产过程数据和经营信息数据，按照“人、机、料、法、环”分类进行映射得到管理信息流；建立基于统一时间基准的、包含生产数据流、经营信息流、管理信息流的智能工厂综合四维数据模型。The data platform layer 30 is used to classify the production process data from the intelligent collection layer 10 as a production data flow, and to classify the business information data from the information integration layer as a business information flow; to classify the production process in the factory Data and business information data are mapped according to the classification of "human, machine, material, law, and environment" to obtain management information flow; establish a comprehensive four-dimensional smart factory based on a unified time base that includes production data flow, business information flow, and management information flow Data model.

如图2所示，智能工厂综合四维数据模型中，生产数据流、经营信息流、管理信息流这三个维度的数据，以时间维度为联络线，构建起统一时间基准的立体的数据模型。As shown in Figure 2, in the integrated four-dimensional data model of the smart factory, the three-dimensional data of production data flow, business information flow, and management information flow uses the time dimension as the tie line to construct a three-dimensional data model with a unified time benchmark.

如上所述的平台是一种映射“人、机、料、法、环”的智能工厂数据采集平台，包含智能采集层、信息整合层和数据平台层。智能采集层实现工厂内不同生产环节各层级(例如从基础元器件到感知设备、生产设备、工艺单元、生产线等)的生产过程数据的纵向数据采集、整合和关联。信息整合层实现工厂内经营管理的各个环节(例如采购、生产、质检、仓储、物流、营销等)的横向经营信息数据整合和互通。数据平台层实现智能采集层和信息整合层纵向生产过程数据和横向经营信息数据的关联和整合，并映射至工厂管理的“人、机、料、法、环”各个环节，构成以“人、机、料、法、环”核心管理思想的数据模型，为智能工厂的智能应用(例如智能生产管理、智能成本管理、智能设备管理、智能能源管理、智能检维修管理、智能质量管理等)和智能决策提供数据支撑。The above-mentioned platform is a smart factory data collection platform that maps "human, machine, material, law, and environment", including an intelligent collection layer, an information integration layer, and a data platform layer. The intelligent collection layer realizes the vertical data collection, integration and correlation of the production process data of different production links and levels in the factory (for example, from basic components to perception equipment, production equipment, process units, production lines, etc.). The information integration layer realizes the integration and intercommunication of horizontal operation information and data in all aspects of the operation and management of the factory (such as procurement, production, quality inspection, warehousing, logistics, marketing, etc.). The data platform layer realizes the association and integration of the vertical production process data and the horizontal operation information data of the intelligent collection layer and the information integration layer, and is mapped to the various links of "human, machine, material, law, and environment" of factory management. The data model of the core management thinking of “machine, material, law, and environment” is the smart application of smart factories (such as smart production management, smart cost management, smart equipment management, smart energy management, smart maintenance management, smart quality management, etc.) and Intelligent decision-making provides data support.

下面，对本发明平台的各个组成部分，作进一步详细说明。Hereinafter, each component of the platform of the present invention will be described in further detail.

【一】智能采集层。[1] Intelligent collection layer.

如图3所示，智能采集层10采用分布式部署，可以由分布式部署的多台智能采集设备11组成。智能采集设备实现工厂内不同生产环节各层级，例如从基础元器件到感知设备、生产设备、工艺单元、生产线等层级的生产过程数据实时在线采集。As shown in FIG. 3, the intelligent collection layer 10 adopts distributed deployment, and may be composed of multiple intelligent collection devices 11 deployed in a distributed manner. Intelligent collection equipment realizes real-time online collection of production process data at different levels of production links in the factory, for example, from basic components to perception equipment, production equipment, process units, production lines and other levels.

采集的生产过程数据可包括：(1)生产效率数据，例如单位时间产品产量、单位产品资源消耗量等；(2)物料或能源投入产出量数据，例如各类产品产量、各类能源消耗量等)；(3)投入产出物料或能源质量数据，例如各类产品质量、各类消耗或物料质量等；(4)生产工艺参数数据，例如物料配比、设备温度、设备转速等；(5)生产设备状态数据，例如振幅、温度、转速、噪声等；(6)生产环境质量数据，例如环境温度、温度、大气压力等；(7)生产过程视频数据等。The collected production process data can include: (1) Production efficiency data, such as product output per unit time, unit product resource consumption, etc.; (2) Material or energy input and output data, such as various product output, various energy consumption (3) Input and output material or energy quality data, such as various product quality, various consumption or material quality, etc.; (4) Production process parameter data, such as material ratio, equipment temperature, equipment speed, etc.; (5) Production equipment status data, such as amplitude, temperature, speed, noise, etc.; (6) Production environment quality data, such as ambient temperature, temperature, atmospheric pressure, etc.; (7) Production process video data, etc.

这些数据可以从生产现场的以下设备或***进行实时采集：智能传感器；智能仪表，例如测控仪表、保护仪表、智能电表、智能质量检验仪、智能称重仪、智能环境监视仪等；视频监控设备；设备状态监控设备，例如故障监测设备、状态监控设备等；工艺过程监控***，例如各种不同工艺的PLC(Programmable Logic Controller，可编程逻辑控制器)***等；生产过程监控***，例如DCS(Distributed Control System，集散控制***)、SCADA(Supervisory Control And Data Acquisition，即数据采集与监视控制***)；等等。These data can be collected in real time from the following equipment or systems at the production site: smart sensors; smart meters, such as measurement and control meters, protection meters, smart meters, smart quality testers, smart weighing meters, smart environment monitors, etc.; video surveillance equipment ; Equipment status monitoring equipment, such as fault monitoring equipment, status monitoring equipment, etc.; process monitoring systems, such as PLC (Programmable Logic Controller) systems of various processes, etc.; production process monitoring systems, such as DCS ( Distributed Control System), SCADA (Supervisory Control And Data Acquisition, that is, data acquisition and monitoring control system); etc.

智能采集设备11可采用模块化设计，每个智能采集设备11可包含数据采集模块12、边缘计算模块13和通讯传输模块14。一台智能采集设备11支持配置安装多个不同类型和不同数量的数据采集模块12，可以通过配置不同类型和不同数量的数据采集模块12，实现工业生产现场不同类型和数量的设备或***接入，完成数据采集。The smart collection device 11 can adopt a modular design, and each smart collection device 11 can include a data collection module 12, an edge computing module 13, and a communication transmission module 14. An intelligent acquisition device 11 supports the configuration and installation of multiple data acquisition modules 12 of different types and numbers. Different types and numbers of data acquisition modules 12 can be configured to realize the access of different types and numbers of equipment or systems in industrial production sites. , Complete data collection.

智能采集设备11的数据采集模块(为便于区分，可称为第一数据采集模块)12，可内置工业现场多种协议，根据接入智能采集设备的硬件设备数量和类型，自动解析工业现场不同来源(例如智能传感器、智能仪表、工业监控***等)的生产过程数据。当多源的生产过程数据汇集至数据采集模块时，数据采集模块可以自动为每个生产过程数据打上两个时间标，分别为数据原始时间和数据采集时间，两个时间标用于为边缘计算模块的数据清洗提供判断依据。The data collection module of the smart collection device 11 (for easy distinction, it can be called the first data collection module) 12, can be built-in multiple protocols in the industrial field, according to the number and type of hardware devices connected to the smart collection device, automatically analyze the differences in the industrial field Production process data from sources (such as smart sensors, smart meters, industrial monitoring systems, etc.). When multi-source production process data is collected into the data acquisition module, the data acquisition module can automatically mark two time stamps for each production process data, which are the original data time and the data collection time. The two time stamps are used for edge computing The data cleaning of the module provides a basis for judgment.

智能采集设备11的边缘计算模块13，用于对数据采集模块采集的数据进行初步整合和计算，建立数据模型，解决数据质量问题，让数据更适合进行数据挖掘。生产过程数据可在边缘计算模块进行五个步骤的处理，生成整合好的生产过程数据，并按照建立好的数据模型进行分类。The edge computing module 13 of the smart collection device 11 is used for preliminary integration and calculation of the data collected by the data collection module, establishing a data model, solving data quality problems, and making the data more suitable for data mining. The production process data can be processed in five steps in the edge computing module to generate integrated production process data and classified according to the established data model.

五个步骤包括：The five steps include:

1)数据清洗：包含数据完整性清洗、数据唯一性清洗、数据权威性清洗、数据合法性清洗、数据一致性清洗。1) Data cleaning: includes data integrity cleaning, data uniqueness cleaning, data authority cleaning, data legality cleaning, and data consistency cleaning.

数据完整性清洗：根据数据时间、来源、数据值等特征，采取拟合、平滑等内置的数据处理算法对各种异常情况导致的缺失数据进行补全；Data integrity cleaning: According to the characteristics of data time, source, data value, etc., built-in data processing algorithms such as fitting and smoothing are used to complement the missing data caused by various abnormal conditions;

数据唯一性清洗：根据数据时间、来源、数据值等特征，采用合并、归类等内置的数据处理算法去除多源数据有可能导致的重复记录；Data uniqueness cleaning: According to the characteristics of data time, source, data value, etc., use built-in data processing algorithms such as merging and categorization to remove duplicate records that may be caused by multi-source data;

数据权威性清洗：根据数据时间、来源、数据值等特征，采用权威级别设置，对多源数据的有效性和可靠性进行分级标记；Data authority cleaning: According to the characteristics of data time, source, data value, etc., the authority level setting is adopted to grade the validity and reliability of multi-source data;

数据合法性清洗：根据数据时间、来源、数据值等特征，采用分箱、聚类、回归等数据处理算法对离群数据进行判定，通过设置判定规则，对数据合法性进行标记，去除非法数据；Data legality cleaning: According to the characteristics of data time, source, data value, etc., data processing algorithms such as binning, clustering, regression are used to judge outlier data, and judging rules are set to mark the legality of data to remove illegal data ；

数据一致性清洗：根据数据时间、来源、数据值等特征，通过提前配置的信息整合层模型，保证采集数据的一致性。Data consistency cleaning: According to the characteristics of data time, source, data value, etc., through the information integration layer model configured in advance, the consistency of the collected data is ensured.

2)异常数据标记：对清洗好的数据，内置基于差值法的异常数据判断算法，结合数据自身特征，判断异常数据，并对异常数据进行标记，生成异常事件。2) Abnormal data marking: For the cleaned data, an abnormal data judgment algorithm based on the difference method is built in, combining the characteristics of the data itself, judging the abnormal data, and marking the abnormal data to generate abnormal events.

3)故障数据标记：对清洗好的数据，结合不同来源的生产过程故障事件数据，以故障时间为参考源，将对应时间段内的故障对象数据进行标记，与生产过程故障事件数据进行关联。3) Failure data labeling: The cleaned data is combined with the production process failure event data from different sources, and the failure time is used as the reference source to mark the failure object data in the corresponding time period and associate it with the production process failure event data.

4)数据统计计算：对清洗好的数据，内置最大值、最小值、平均值、95％概率大值、均方根值、有效值等多种统计算法，根据不同的时间周期对数据进行统计计算。4) Data statistical calculation: For the cleaned data, there are built-in multiple statistical algorithms such as maximum value, minimum value, average value, 95% probability large value, root mean square value, effective value, etc., and the data is counted according to different time periods calculate.

5)数据分类：将处理好的数据，按清洗好的原始数据、异常数据、故障数据、统计数据进行分类，并按建立好的数据模型进行分类。5) Data classification: The processed data is classified according to cleaned original data, abnormal data, fault data, and statistical data, and classified according to the established data model.

智能采集设备11的通讯传输模块(为便于区分，可称为第一通讯传输模块)14，可以通过有线或无线的方式将边缘计算层处理好的数据上送至数据平台层。在通讯传输模块可配置传输至数据平台层的数据类型。The communication transmission module (for ease of distinction, it may be called the first communication transmission module) 14 of the intelligent collection device 11 can send the data processed by the edge computing layer to the data platform layer in a wired or wireless manner. The data type transmitted to the data platform layer can be configured in the communication transmission module.

如上所述，智能采集层10的功能均依托部署在智能采集设备11上。As mentioned above, the functions of the smart collection layer 10 are all deployed on the smart collection device 11.

【二】信息整合层。[2] Information integration layer.

如图4所示，信息整合层20可采用集中部署的方式，包含数据采集模块21、数据清洗模块22和通讯传输模块23，用于将工厂业务经营过程中涉及到的销售管理、库存管理、供应管理、财务管理、生产管理、质量管理、设备管理、能源管理、人事管理等环节的横向经营信息数据进行整合。As shown in Figure 4, the information integration layer 20 can be deployed in a centralized manner, including a data collection module 21, a data cleaning module 22, and a communication transmission module 23, which are used to integrate the sales management, inventory management, and inventory management involved in the business operation of the factory. Integration of horizontal business information data in supply management, financial management, production management, quality management, equipment management, energy management, and personnel management.

信息整合层的数据采集模块(为便于区分，可称为第二数据采集模块)21，包含***信息整合子模块、手动信息整合子模块和配置子模块。***信息整合子模块内置工业多种***通讯协议，可整合工厂已有的各类管理***，例如ERP(Enterprise Resource Planning，企业资源计划***)、质量管理***、环保管理***等***中的数据。手动信息整合子模块可整合工厂业务流中无法/尚未自动获取的生产经营数据。配置子模块可配置两种信息整合方式：基于工厂已有***的信息整合，即，将工厂已有的各类管理***中的数据集成至信息整合层；和基于工厂业务流的直接整合，即，根据工厂的管理模式，建立各管理环节的信息模型，采用自动/手动等方式将数据采集整合至信息整合层。The data collection module of the information integration layer (for easy distinction, it may be referred to as the second data collection module) 21 includes a system information integration sub-module, a manual information integration sub-module, and a configuration sub-module. The system information integration sub-module has built-in industrial multiple system communication protocols, which can integrate the data in the various management systems of the factory, such as ERP (Enterprise Resource Planning, enterprise resource planning system), quality management system, environmental protection management system and other systems. The manual information integration sub-module can integrate the production and operation data that cannot/have been automatically obtained in the business flow of the factory. The configuration sub-module can be configured with two information integration methods: information integration based on the existing system of the factory, that is, integrating data from various existing management systems of the factory into the information integration layer; and direct integration based on the business flow of the factory, that is, , According to the management mode of the factory, establish the information model of each management link, and adopt automatic/manual methods to integrate data collection into the information integration layer.

信息整合层的数据清洗模块22实现信息整合层的数据清洗工作。经营信息数据可在此模块经过五个步骤的处理，完成数据的清洗工作。The data cleaning module 22 of the information integration layer implements the data cleaning work of the information integration layer. Business information data can be processed in five steps in this module to complete data cleaning.

五个步骤包括：The five steps include:

1)数据完整性清洗：根据数据时间、来源、数据值等特征，采取拟合、平滑等内置的数据处理算法对各种异常情况导致的缺失数据进行补全；1) Data integrity cleaning: According to the characteristics of data time, source, data value, etc., built-in data processing algorithms such as fitting and smoothing are used to complement the missing data caused by various abnormal conditions;

2)数据唯一性清洗：根据数据时间、来源、数据值等特征，采用合并、归类等内置的数据处理算法去除多源数据有可能导致的重复记录；2) Data uniqueness cleaning: According to the characteristics of data time, source, data value and other characteristics, use built-in data processing algorithms such as merging and categorization to remove duplicate records that may be caused by multi-source data;

3)数据权威性清洗：根据数据时间、来源、数据值等特征，采用权威级别设置，对多源数据的有效性和可靠性进行分级标记；3) Data authority cleaning: According to the characteristics of data time, source, data value, etc., the authority level setting is adopted to mark the validity and reliability of multi-source data;

4)数据合法性清洗：根据数据时间、来源、数据值等特征，采用分箱、聚类、回归等数据处理算法对离群数据进行判定，通过设置判定规则，对数据合法性进行标记，去除非法数据；4) Data legality cleaning: According to the characteristics of data time, source, data value, etc., data processing algorithms such as binning, clustering, regression are used to judge outlier data, and the legality of the data is marked and removed by setting judgment rules. Illegal data;

5)数据一致性清洗：根据数据时间、来源、数据值等特征，通过提前配置的信息整合层模型，保证采集数据的一致性。5) Data consistency cleaning: According to the characteristics of data time, source, data value, etc., the information integration layer model configured in advance ensures the consistency of the collected data.

信息整合层的通讯传输模块(为便于区分，可称为第二通讯传输模块)23，可通过有线或无线的方式将数据清洗模块处理好的数据上送至数据平台层。在通讯传输模块可配置传输至数据平台层的数据类型。The communication transmission module (for easy distinction, it may be called the second communication transmission module) 23 of the information integration layer can send the data processed by the data cleaning module to the data platform layer in a wired or wireless manner. The data type transmitted to the data platform layer can be configured in the communication transmission module.

如上所述，信息整合层可以由信息整合软件以及安装部署该软件的本地计算机/服务器组成。As mentioned above, the information integration layer can be composed of information integration software and a local computer/server where the software is installed and deployed.

【三】数据平台层。[3] Data platform layer.

如图5所示，数据平台层30可以部署在本地或云端，可包括数据缓存模块31、数据模型匹配模块32和数据存储模块33和通讯模块34。As shown in FIG. 5, the data platform layer 30 can be deployed locally or in the cloud, and can include a data caching module 31, a data model matching module 32, a data storage module 33, and a communication module 34.

1)数据缓存模块31，用于对智能采集层和信息整合层的传输数据进行缓存备用。1) The data buffer module 31 is used to buffer the transmission data of the intelligent collection layer and the information integration layer for backup.

2)数据模型匹配模块32，包括模型配置子模块和数据匹配子模块。2) The data model matching module 32 includes a model configuration sub-module and a data matching sub-module.

模型配置子模块可用于配置数据模型，具有包含了生产数据流、经营信息流、管理信息流和时间的智能工厂综合四维数据模型。智能采集层和信息整合层的数据传送至数据平台层后，数据平台层可将生产过程中纵向的生产数据流(即，来自于智能采集层的生产过程数据)和横向的经营信息流(即，来自于信息整合层的经营信息数据)数据，按照智能工厂综合四维模型进行整合。The model configuration sub-module can be used to configure the data model. It has a comprehensive four-dimensional data model of the smart factory that includes production data flow, business information flow, management information flow and time. After the data of the intelligent collection layer and the information integration layer are transmitted to the data platform layer, the data platform layer can transfer the vertical production data flow (that is, the production process data from the smart collection layer) and the horizontal business information flow (that is, the production process data from the intelligent collection layer) during the production process. , Business information data from the information integration layer) data are integrated according to the integrated four-dimensional model of the smart factory.

如图6所示，模型配置子模块可以将来自于智能采集层的生产过程数据归类为生产数据流，按照传感器/基础元器件、测控仪表、设备、主机***、工艺段、生产线等树形结构纵向分层建模，工厂的生产数据流本身作为根节点，测控仪表、设备、主机***、工艺段、生产线等作枝节点，最底层的传感器/基础元器件作为叶节点。根节点的数据模型由不同数量和类型的枝节点及叶节点任意组合组成，枝节点分不同层级，高层级枝节点的数据模型由低层级的枝节点和叶节点任意组合组成，叶节点作为最底层的元素可以构建任意其他节点模型。As shown in Figure 6, the model configuration sub-module can classify the production process data from the intelligent acquisition layer as a production data stream, according to the tree shape of sensors/basic components, measurement and control instruments, equipment, host systems, process sections, production lines, etc. Vertical hierarchical modeling of the structure. The production data flow of the factory itself serves as the root node, measurement and control instruments, equipment, host systems, process sections, production lines, etc. serve as branch nodes, and the lowest-level sensors/basic components serve as leaf nodes. The data model of the root node is composed of different numbers and types of branch nodes and any combination of leaf nodes. The branch nodes are divided into different levels. The data model of the high-level branch nodes is composed of any combination of lower-level branch nodes and leaf nodes. The underlying elements can build any other node model.

模型配置子模块可以将来自于信息整合层的经营信息数据归类为经营信息流，按照工厂业务经营中涉及到的各个功能模块进行横向分类建模。横向分类模型的类别可包括：销售管理、库存管理、供应管理、财务管理、生产管理、质量管理、设备管理、人事管理等类别，横向模型类别可根据工厂的实际经营情况扩展和调整。The model configuration sub-module can classify the business information data from the information integration layer into the business information flow, and perform horizontal classification modeling according to the various functional modules involved in the business operation of the factory. The categories of horizontal classification models can include: sales management, inventory management, supply management, financial management, production management, quality management, equipment management, personnel management, etc. The horizontal model categories can be expanded and adjusted according to the actual operating conditions of the factory.

模型配置子模块可以根据工厂生产管理模式，建立按照“人、机、料、法、环”分类的管理信息流模型。在此模型中可定义属于“人”的数据范围、属于“机”的数据范围，属于“料”的数据范围，属于“法”的数据范围，属于“环”的数据范围。“人、机、料、法、环”五大类数据范围支持在其下建立更小层级的数据范围。属于“人”其下更小层级的数据范围包括：人的操作数据、人的效率数据、人的培训数据、人的环境数据、人的管理数据等；属于“机”其下更小层级的数据范围包括：机的运行数据、机的台账数据、机的维护数据、机的故障数据、机的操作流程数据、机的环境数据等；属于“料”其下更小层级的数据范围包括料的批次数据、料的数量数据、料的质量数据、料的环境数据、料的使用效果数据等；属于“法”其下的更小层级的数据范围包括工作方法数据、调度计划数据、操作流程数据、生产过程评估数据等；属于“环”其下更小层级的数据范围包括：生产环境数据、环境安全数据等。管理信息流中各层级的数据范围支持自定义增加、删除。通过对管理信息流模型各层级的数据范围设定，完成生产数据流模型和经营信息流模型到管理信息流模型的映射。再以时间为联络线，构建生产数据流、经营信息流、管理信息流的智能工厂综合四维数据模型。The model configuration sub-module can establish a management information flow model classified according to "human, machine, material, method, and environment" according to the factory production management mode. In this model, you can define the data range belonging to "person", the data range belonging to "machine", the data range belonging to "material", the data range belonging to "law", and the data range belonging to "ring". The five data ranges of "human, machine, material, law, and environment" support the establishment of a smaller level of data range under them. The scope of data belonging to the lower level of "human" includes: human operation data, human efficiency data, human training data, human environmental data, human management data, etc.; it belongs to the lower level of "machine" The data scope includes: machine operating data, machine ledger data, machine maintenance data, machine fault data, machine operation process data, machine environment data, etc.; data scopes belonging to the smaller levels of "materials" include Material batch data, material quantity data, material quality data, material environmental data, material use effect data, etc.; the data scope of a smaller level under the "law" includes work method data, scheduling plan data, Operation process data, production process evaluation data, etc.; the data scope of a smaller level under the "ring" includes: production environment data, environmental safety data, etc. The data range of each level in the management information flow supports custom addition and deletion. By setting the data range of each level of the management information flow model, the mapping from the production data flow model and the business information flow model to the management information flow model is completed. Using time as the tie line, a comprehensive four-dimensional data model of the smart factory for production data flow, business information flow, and management information flow is constructed.

数据匹配子模块，用于根据智能采集层从现场多个智能采集设备采集处理后的数据，将数据按照生产数据流模型进行分类，并打上相应的数据标签。再根据信息整合层从工厂各个管理环节获取并整合清洗后的数据，将数据按照经营信息流模型进行分类，并打上相应的数据标签。再根据建立好的智能工厂综合四维数据模型，将接收的数据打上带有时间的四维标签，以便后期各种高级应用灵活调用数据。The data matching sub-module is used to collect and process data from multiple smart collection devices on site according to the smart collection layer, classify the data according to the production data flow model, and label the corresponding data. Then, according to the information integration layer, the cleaned data is obtained and integrated from the various management links of the factory, and the data is classified according to the business information flow model and labeled with the corresponding data. Then, according to the established smart factory integrated four-dimensional data model, the received data is marked with a four-dimensional label with time, so that various advanced applications can call the data flexibly in the later period.

3)数据存储模块33可以采用数据仓库的架构实现数据存储，将生产数据流、经营信息流、管理信息流、智能工厂综合四维数据模型数据进行存储。3) The data storage module 33 can implement data storage by adopting the architecture of a data warehouse, storing production data flow, business information flow, management information flow, and smart factory integrated four-dimensional data model data.

4)通讯模块34实现数据通讯配置，可以为不同的智能功能平台提供不同类型的数据。4) The communication module 34 implements data communication configuration and can provide different types of data for different intelligent function platforms.

如上所述，数据平台层可选择部署在就地服务器或云端服务器上。As mentioned above, the data platform layer can be deployed on an on-site server or a cloud server.

综上，对本发明提供的智能工厂数据采集平台进行了说明。In summary, the smart factory data collection platform provided by the present invention is described.

为便于理解和实施本发明，下面还提供智能工厂数据采集平台的实施方法，请参考如图7所示的实时流程，实施方法可包括如下步骤：In order to facilitate the understanding and implementation of the present invention, the implementation method of the smart factory data collection platform is also provided below. Please refer to the real-time process shown in Figure 7. The implementation method may include the following steps:

S1、通过在工厂部署多台智能采集设备，构建智能采集层，实现工厂内不同层级(从基础元器件到感知设备、生产设备、工艺单元、生产线等)的生产过程数据实时在线采集。采集的数据包括：智能传感器数据(温度、压力、转速、流量等)、智能仪表数据(测控仪表、保护仪表、智能电表、智能质量检验仪、智能称重仪、智能环境监视仪等)、视频数据、设备状态监控设备数据(故障监测设备、状态监控设备等)、工艺过程监控***数据(各种不同工艺的PLC***等)、生产过程监控***数据(DCS***、SCADA***等)。每个智能采集设备采用模块化设计，可选配接入智能采集设备的硬件设备数量和类型。S1. By deploying multiple smart collection devices in the factory, the smart collection layer is constructed to realize real-time online collection of production process data at different levels in the factory (from basic components to perception equipment, production equipment, process units, production lines, etc.). The collected data includes: smart sensor data (temperature, pressure, speed, flow, etc.), smart instrument data (measurement and control instrument, protection instrument, smart meter, smart quality inspection instrument, smart weighing instrument, smart environment monitor, etc.), video Data, equipment status monitoring equipment data (fault monitoring equipment, status monitoring equipment, etc.), process monitoring system data (various processes of PLC systems, etc.), production process monitoring system data (DCS system, SCADA system, etc.). Each smart collection device adopts a modular design, and the number and type of hardware devices connected to the smart collection device can be selected.

S2、智能采集层的智能采集设备通过时间同步装置获取精确一致的时间信号。S2. The intelligent acquisition equipment of the intelligent acquisition layer obtains accurate and consistent time signals through the time synchronization device.

S3、通过在工厂部署工业计算机或工业服务器，在其上加载数据采集模块、数据清洗模块和通讯传输模块等功能模块，构建信息整合层，将工厂业务经营管理过程中涉及到的销售管理、库存管理、供应管理、财务管理、生产管理、质量管理、设备管理、人事管理等环节的横向数据进行整合。S3. By deploying industrial computers or industrial servers in the factory, and loading functional modules such as data acquisition modules, data cleaning modules, and communication transmission modules on them, the information integration layer is constructed to integrate the sales management and inventory involved in the business operation and management process of the factory. Integration of horizontal data in management, supply management, financial management, production management, quality management, equipment management, and personnel management.

S4、信息整合层通过时间同步装置获取精确一致的时间信号。S4. The information integration layer obtains accurate and consistent time signals through the time synchronization device.

S5、通过在工厂部署本地服务器或者在云端部署云服务器，在其上加载数据缓存模块、数据模型匹配模块、数据存储模块、数据通讯模块等各个功能模块，构建数据平台层。S5. Build a data platform layer by deploying a local server in the factory or deploying a cloud server in the cloud, and load various functional modules such as a data cache module, a data model matching module, a data storage module, and a data communication module on it.

S6、通过数据模型匹配模块，构建工厂的包含了生产数据流、经营信息流、管理信息流和时间的智能工厂综合四维数据模型。S6. Through the data model matching module, build a comprehensive four-dimensional data model of the factory that includes the production data flow, business information flow, management information flow and time of the smart factory.

S7、将智能采集层和信息整合层的数据，在数据平台层进行模型匹配，并存储至数据仓库中，通过通讯模块传送给智能工厂的各个智能应用使用。S7. Match the data of the intelligent collection layer and the information integration layer to the data platform layer, store them in the data warehouse, and transmit them to the intelligent applications of the smart factory through the communication module.

S8、智能工厂数据采集平台基于统一模型理念，建立基于统一时间基准的生产数据流、经营信息流、管理信息流的智能工厂综合四维数据模型。S8. The smart factory data collection platform is based on the concept of a unified model, and establishes a comprehensive four-dimensional data model of the smart factory based on a unified time base for production data flow, business information flow, and management information flow.

下面，提供两个智能工厂高级应用示例。Below, two examples of advanced applications of smart factories are provided.

示例1：当高级应用的目的是分析某台设备的故障原因时，首先可以从生产数据流维度找到设备标签，找到本台故障设备模型关联的数据，根据数据分类中的故障数据，确定故障时间和故障初步原因，再从经营信息流中获取本台设备的经营相关数据，进一步关联管理信息流中本台设备的“人、机、料、法、环”数据，获取故障前后人如何操作设备的数据、设备运行状态数据和历史检维修数据、设备运行时投入的物料数量和物料质量数据、设备的使用方法数据和工作调度计划数据、设备运行环境数据等，环环相扣的关联数据可以方便地定位设备故障的深层次原因。Example 1: When the purpose of the advanced application is to analyze the cause of the failure of a certain device, you can first find the device label from the production data flow dimension, find the data associated with the model of the failed device, and determine the failure time based on the failure data in the data classification And the initial cause of the failure, and then obtain the operation-related data of this equipment from the operation information flow, and further correlate the "person, machine, material, method, and environment" data of the equipment in the management information flow, and obtain how people operate the equipment before and after the failure Data, equipment operating status data and historical inspection and maintenance data, the amount of materials input during equipment operation and material quality data, equipment usage data and work scheduling plan data, equipment operating environment data, etc., interlocking related data can be Easily locate the deep-seated causes of equipment failures.

示例2：当高级应用的目的是分析某个产出产品某段时间的成本时，可以从经营信息流维度获取产品成本的汇总数据，再通过生产数据流维度和管理信息流维度，获取产出本产品所涉及到的设备和工艺，获取产出本产品时间段内的物料消耗数据、能源消耗数据、环保投入成本数据、检维修成本数据、人力成本数据等，可以方便程序产品的成本构成。进一步的，还可以获取生产产品时间段内的产品质量、物料质量数据、能源质量数据、设备状态数据、人操作水平数据、环境数据等，进行横向和纵向的对比，可以分析不同因素对生产成本的影响。Example 2: When the purpose of the advanced application is to analyze the cost of a certain output product for a certain period of time, the summary data of the product cost can be obtained from the business information flow dimension, and then the output can be obtained through the production data flow dimension and the management information flow dimension The equipment and processes involved in this product can obtain material consumption data, energy consumption data, environmental protection input cost data, inspection and maintenance cost data, labor cost data, etc. during the production time period of this product, which can facilitate the cost composition of the program product. Furthermore, it is possible to obtain product quality, material quality data, energy quality data, equipment status data, human operation level data, environmental data, etc. within the time period of production of the product, and perform horizontal and vertical comparisons to analyze the impact of different factors on production costs. Impact.

本发明实施例可以支持更多类型的智能工厂高级应用，其他未列举的高级应用示例也属于本发明的实施例范畴。The embodiments of the present invention can support more types of advanced applications of smart factories, and other unlisted examples of advanced applications also belong to the scope of the embodiments of the present invention.

综上，本发明实施例公开了一种智能工厂数据采集平台及其实施方法，通过采用上述技术方案，本发明取得技术效果如下：In summary, the embodiment of the present invention discloses a smart factory data collection platform and an implementation method thereof. By adopting the above technical scheme, the present invention achieves the following technical effects:

本发明的智能工厂数据采集平台，是对工厂生产、经营、管理全维度数据的采集和整理，并基于先进的管理理念映射建模，为智能工厂在建设发展过程中，随着对技术发展和数据认识的加深，提供更加深入挖掘应用数据的可能性。相比基于***/功能集成式的智能工厂，在此数据采集平台的基础上可以进一步对生产流程优化，构建更加灵活开放的可成长式智能工厂。The smart factory data collection platform of the present invention collects and organizes the full-dimensional data of factory production, operation, and management, and is based on advanced management concepts to map and model the smart factory. In the process of construction and development of the smart factory, with the development of technology and The deepening of data understanding provides the possibility of more in-depth mining of application data. Compared with a smart factory based on system/function integration, the production process can be further optimized on the basis of this data collection platform to build a more flexible and open smart factory that can grow.

进一步的，本发明的智能工厂数据采集平台，基于统一模型的理念，将生产过程的状态数据与生产经营管理活动数据通过“人、机、料、法、环”进行关联，基于关联的模型数据，用户可以对生产过程中的任意问题，采用“人、机、料、法、环”的全面质量管理理论，深入分析问题原因，提取问题链上的关联数据和证据，逐本溯源，制定根治问题和优化管理的措施，保障安全高效的生产。Further, the smart factory data collection platform of the present invention, based on the concept of a unified model, associates the status data of the production process with the production and operation management activity data through "human, machine, material, method, and environment", based on the associated model data , Users can apply the comprehensive quality management theory of “human, machine, material, method, and environment” to any problem in the production process, analyze the cause of the problem in depth, extract the related data and evidence in the problem chain, trace the source one by one, and formulate a radical cure Problems and optimized management measures to ensure safe and efficient production.

在上述实施例中，对各个实施例的描述都各有侧重，某个实施例中没有详细描述的部分，可以参见其它实施例的相关描述。In the above-mentioned embodiments, the description of each embodiment has its own emphasis. For parts that are not described in detail in an embodiment, reference may be made to related descriptions of other embodiments.

上述实施例仅用以说明本发明的技术方案，而非对其限制；本领域的普通技术人员应当理解：其依然可以对上述各实施例所记载的技术方案进行修改，或者对其中部分技术特征进行等同替换；而这些修改或者替换，并不使相应技术方案的本质脱离本发明各实施例技术方案的精神和范围。The above-mentioned embodiments are only used to illustrate the technical solutions of the present invention, but not to limit them; those of ordinary skill in the art should understand that they can still modify the technical solutions recorded in the above-mentioned embodiments, or modify some of the technical features. Perform equivalent replacements; and these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

一种智能工厂数据采集平台，其特征在于，包括：A smart factory data collection platform, which is characterized in that it includes:

智能采集层，用于对工厂内各个生产环节的各个层级的生产过程数据进行数据采集和整合，所述生产环节的各个层级包括基础元器件、感知设备、生产设备、工艺单元和生产线中部分或全部；The intelligent collection layer is used for data collection and integration of the production process data of each level of each production link in the factory. Each level of the production link includes basic components, sensing equipment, production equipment, process units, and part of the production line. all;

信息整合层，用于对工厂内经营管理的各个环节的经营信息数据进行整合，所述经营管理的各个环节包括销售管理、库存管理、供应管理、财务管理、生产管理、质量管理、设备管理、能源管理、人事管理中的部分或全部；The information integration layer is used to integrate the business information data of each link of the factory's business management. The various links of the business management include sales management, inventory management, supply management, financial management, production management, quality management, equipment management, Part or all of energy management and personnel management;

数据平台层，用于将来自于智能采集层的生产过程数据归类为生产数据流，将来自于所述信息整合层的经营信息数据归类为经营信息流；将工厂内的生产过程数据和经营信息数据，按照“人、机、料、法、环”分类进行映射得到管理信息流；建立基于统一时间基准的、包含生产数据流、经营信息流、管理信息流的智能工厂综合四维数据模型。The data platform layer is used to classify the production process data from the intelligent collection layer as production data flow, and classify the business information data from the information integration layer as business information flow; to classify the production process data and data in the factory The management information data is mapped according to the classification of "human, machine, material, law, and circle" to obtain the management information flow; a comprehensive four-dimensional data model of the smart factory based on a unified time base including production data flow, operation information flow, and management information flow is established .
根据权利要求1所述的智能工厂数据采集平台，其特征在于，The smart factory data collection platform according to claim 1, wherein:

所述智能采集层采用分布式部署，包括多台智能采集设备，所述智能采集设备包括第一数据采集模块、边缘计算模块和第一通讯传输模块；The smart collection layer adopts distributed deployment and includes multiple smart collection devices, and the smart collection device includes a first data collection module, an edge computing module, and a first communication transmission module;

所述第一数据采集模块，用于采集生产过程数据，并为采集的生产过程数据添加时间标，其中，添加的时间标包括数据原始时间和数据采集时间，采集的生产过程数据包括生产效率数据、物料或能源投入产出量数据、投入产出物料或能源质量数据、生产工艺参数数据、生产设备状态数据、生产环境质量数据以及生产过程视频数据中的部分或全部；The first data collection module is used to collect production process data and add a time stamp to the collected production process data, where the added time stamp includes data original time and data collection time, and the collected production process data includes production efficiency data , Part or all of material or energy input and output data, input and output material or energy quality data, production process parameter data, production equipment status data, production environment quality data, and production process video data;

所述边缘计算模块，用于对所述第一数据采集模块采集的生产过程数据进行整合处理，所述整合处理包括数据清洗、异常数据标记、故障数据标记、数据统计计算以及数据分类；The edge computing module is configured to perform integrated processing on the production process data collected by the first data collection module, and the integrated processing includes data cleaning, abnormal data marking, fault data marking, data statistical calculation, and data classification;

所述第一通讯传输模块，用于通过有线或无线的方式将所述边缘计算模块处理好的生产过程数据上送至数据平台层。The first communication transmission module is used to send the production process data processed by the edge computing module to the data platform layer in a wired or wireless manner.
根据权利要求2所述的智能工厂数据采集平台，其特征在于，The smart factory data collection platform according to claim 2, characterized in that:

所述数据清洗包括：数据完整性清洗、数据唯一性清洗、数据权威性清洗、数据合法性清洗和数据一致性清洗。The data cleaning includes: data integrity cleaning, data uniqueness cleaning, data authority cleaning, data legality cleaning, and data consistency cleaning.
根据权利要求1所述的智能工厂数据采集平台，其特征在于，The smart factory data collection platform according to claim 1, wherein:

所述信息整合层采用集中式部署，包括第二数据采集模块、数据清洗模块和第二通讯传输模块；The information integration layer adopts a centralized deployment, and includes a second data collection module, a data cleaning module, and a second communication transmission module;

所述第二数据采集模块，用于连接工厂内经营管理的各个环节所采用的管理***，从各个管理***获取经营信息数据；The second data collection module is used to connect the management systems used in each link of the operation and management in the factory, and obtain operation information data from each management system;

所述数据清洗模块，用于对所述第二数据采集模块获取的经营信息数据进行数据清洗处理；The data cleaning module is configured to perform data cleaning processing on the business information data acquired by the second data collection module;

所述第二通讯传输模块，用于通过有线或无线的方式将所述数据清洗模块处理好的经营信息数据上送至数据平台层。The second communication transmission module is used to send the business information data processed by the data cleaning module to the data platform layer in a wired or wireless manner.
根据权利要求4所述的智能工厂数据采集平台，其特征在于，The smart factory data collection platform according to claim 4, characterized in that:

所述第二数据采集模块包括：The second data collection module includes:

***信息整合子模块，用于整合工厂内已有的各个管理***中的经营信息数据；The system information integration sub-module is used to integrate the business information data in the various management systems that exist in the factory;

手动信息整合子模块，用于整合工厂业务流中、无法从已有的经营管理***获取的经营信息数据；The manual information integration sub-module is used to integrate the business information data in the factory business flow that cannot be obtained from the existing business management system;

配置子模块，用于配置所述***信息整合子模块和所述手动信息整合子模块。The configuration sub-module is used to configure the system information integration sub-module and the manual information integration sub-module.
根据权利要求4所述的智能工厂数据采集平台，其特征在于，The smart factory data collection platform according to claim 4, characterized in that:

所述数据清洗模块，具体用于对获取的经营信息数据进行数据完整性清洗、数据唯一性清洗、数据权威性清洗、数据合法性清洗和数据一致性清洗。The data cleaning module is specifically used to perform data integrity cleaning, data uniqueness cleaning, data authority cleaning, data legality cleaning, and data consistency cleaning on the acquired business information data.
根据权利要求1所述的智能工厂数据采集平台，其特征在于，The smart factory data collection platform according to claim 1, wherein:

所述数据平台层包括数据缓存模块、数据模型匹配模块、数据存储模块和通讯模块；The data platform layer includes a data cache module, a data model matching module, a data storage module and a communication module;

所述数据缓存模块，用于对所述智能采集层和所述信息整合层上传的数据进行缓存；The data cache module is used to cache the data uploaded by the intelligent collection layer and the information integration layer;

所述数据模型匹配模块，用于将来自于智能采集层的生产过程数据归类为生产数据流，将来自于信息整合层的经营信息数据归类为经营信息流；按照“人、机、料、法、环”的分类建立管理信息流模型，通过对管理信息流模型中各类型的数据范围设定，将生产数据流和经营信息流的数据映射到管理信息流模型得到管理信息流；以时间为联络线，构建基于统一时间基准的、包含生产数据流、经营信息流、管理信息流的智能工厂综合四维数据模型；The data model matching module is used to classify the production process data from the intelligent collection layer as a production data flow, and classify the business information data from the information integration layer as a business information flow; Establish a management information flow model based on the classification of ”, law, and circle”, and map the production data flow and business information flow data to the management information flow model to obtain the management information flow by setting the scope of each type of data in the management information flow model; Time is the tie line to build a comprehensive four-dimensional data model of a smart factory based on a unified time base that includes production data flow, business information flow, and management information flow;

所述数据存储模块，用于采用数据仓库的架构对构建的智能工厂综合四维数据模型进行数据存储；The data storage module is used to store data on the constructed integrated four-dimensional data model of the smart factory by adopting the architecture of the data warehouse;

所述通讯模块，用于进行数据通讯配置，为其它智能功能平台提供不同类型的数据通讯接口。The communication module is used for data communication configuration and provides different types of data communication interfaces for other intelligent function platforms.
根据权利要求7所述的智能工厂数据采集平台，其特征在于，The smart factory data collection platform according to claim 7, wherein:

所述数据模型匹配模块，包括模型配置子模块和数据匹配子模块；The data model matching module includes a model configuration sub-module and a data matching sub-module;

所述模型配置子模块，用于配置包含了生产数据流、经营信息流、管理信息流和时间的智能工厂综合四维数据模型；将来自于智能采集层的生产过程数据归类为生产数据流，按照工厂内各个生产环节的各个层级的树形结构进行纵向分层建模；将来自于信息整合层的经营信息数据归类为经营信息流，按照工厂内经营管理的各个环节进行横向分类建模；按照“人、机、料、法、环”的分类建立管理信息流模型，通过对管理信息流模型中各类型的数据范围设定，将生产数据流和经营信息流的数据映射到管理信息流模型得到管理信息流；The model configuration sub-module is used to configure a smart factory integrated four-dimensional data model including production data flow, business information flow, management information flow and time; classify the production process data from the intelligent collection layer as production data flow, Perform vertical hierarchical modeling according to the tree structure of each level of each production link in the factory; classify the management information data from the information integration layer into the management information flow, and perform horizontal classification modeling according to the various links of the management of the factory ; Establish a management information flow model according to the classification of "human, machine, material, law, and environment", and map the data of production data flow and business information flow to management information by setting the range of various types of data in the management information flow model The flow model obtains the management information flow;

所述数据匹配子模块，用于将智能采集层上传的生产过程数据，按照生产数据流模型进行分类，并打上相应的数据标签；将信息整合层上传的经营信息数据，按照经营信息流模型进行分类，并打上相应的数据标签；根据建立好的智能工厂综合四维数据模型，将接收的数据打上带有时间的四维标签；建立起以时间为联络线，基于统一时间基准的、包含生产数据流、经营信息流、管理信息流的智能工厂综合四维数据模型。The data matching sub-module is used to classify the production process data uploaded by the intelligent collection layer according to the production data flow model, and label the corresponding data label; the business information data uploaded by the information integration layer is processed according to the business information flow model Classification and label the corresponding data; according to the well-established integrated four-dimensional data model of the smart factory, label the received data with a four-dimensional label with time; establish a time-based connection line, based on a unified time benchmark, including production data flow , A comprehensive four-dimensional data model of a smart factory for business information flow and management information flow.
根据权利要求1-8任一所述的智能工厂数据采集平台，其特征在于，The smart factory data collection platform according to any one of claims 1-8, wherein:

还包括时间同步装置，该时间同步装置用于为所述智能采集层和所述信息整合层提供精确一致的时间信号。It also includes a time synchronization device, which is used to provide accurate and consistent time signals for the intelligent collection layer and the information integration layer.
一种如权利要求9所述智能工厂数据采集平台的实施方法，其特征在于，包括以下步骤：A method for implementing the smart factory data collection platform according to claim 9, characterized in that it comprises the following steps:

智能采集层对工厂内各个生产环节的各个层级的生产过程数据进行数据采集和整合，所述生产环节的各个层级包括基础元器件、感知设备、生产设备、工艺单元和生产线中部分或全部；The intelligent collection layer collects and integrates the production process data of each level of each production link in the factory. Each level of the production link includes basic components, sensing equipment, production equipment, process units, and part or all of the production line;

智能采集层通过时间同步装置获取精确一致的时间信号；The intelligent acquisition layer obtains accurate and consistent time signals through the time synchronization device;

信息整合层对工厂内经营管理的各个环节的经营信息数据进行整合，所述经营管理的各个环节包括销售管理、库存管理、供应管理、财务管理、生产管理、质量管理、设备管理、能源管理、人事管理中的部分或全部；The information integration layer integrates the business information data of each link of the operation and management in the factory. The various links of the business management include sales management, inventory management, supply management, financial management, production management, quality management, equipment management, energy management, Part or all of personnel management;

信息整合层通过时间同步装置获取精确一致的时间信号；The information integration layer obtains accurate and consistent time signals through the time synchronization device;

数据平台层从智能采集层获取生产过程数据，从信息整合层获取经营信息数据，将生产过程数据归类为生产数据流，将经营信息数据归类为经营信息流；将工厂内的生产过程数据和经营信息数据，按照“人、机、料、法、环”分类进行映射得到管理信息流；建立基于统一时间基准的、包含生产数据流、经营信息流、管理信息流的智能工厂综合四维数据模型。The data platform layer obtains the production process data from the intelligent collection layer, obtains the management information data from the information integration layer, classifies the production process data as production data flow, classifies the management information data as the management information flow; classifies the production process data in the factory The management information flow is mapped according to the classification of “human, machine, material, law, and environment” with business information data; the establishment of a comprehensive four-dimensional data of a smart factory based on a unified time base that includes production data flow, business information flow, and management information flow Model.