技术领域technical field
本实用新型涉及系统架构，更具体的说，是一种碳纤维生产数据实时预测云平台。The utility model relates to a system architecture, more specifically, a real-time prediction cloud platform for carbon fiber production data.
背景技术Background technique
碳纤维(Carbon Fiber)及其衍生产品是国防、空间等关键领域的重要支柱材料，在民用领域也有广泛的市场，而目前对高性能碳纤维及其衍生产品的迫切需求和有限的低等级碳纤维产量之间，己形成巨大反差。碳纤维的原丝纺丝过程是具有高度复杂性的工业过程,其组成环节多样，工作条件各异，生产过程随时间变化频繁且变化模式不确定，但对相应的碳纤维原丝产品质量要求高且数量巨大，使得对此过程建立可靠、高效、连续的控制体系，成为工程控制领域极具挑战性的任务之一。Carbon fiber (Carbon Fiber) and its derivatives are important pillar materials in key fields such as national defense and space. Between them, a huge contrast has been formed. The carbon fiber precursor spinning process is a highly complex industrial process with various components and different working conditions. The production process changes frequently with time and the change mode is uncertain, but the quality requirements of the corresponding carbon fiber precursor products are high and The huge quantity makes it one of the most challenging tasks in the field of engineering control to establish a reliable, efficient and continuous control system for this process.
碳纤维生产数据处理对实时性与准确性都有着很高的要求。由于生产过程涉及化学变化，故难以通过机理建立精确的物理模型。针对碳纤维生产工艺流程长、控制变量多以及高控制精度要求的特点，如何通过对碳纤维纺丝过程的系统分析，形成高效稳定的纺丝过程数据分析、预测与优化系统，己成为摆在科研人员和生产人员面前亟需攻克的难题。Carbon fiber production data processing has high requirements for real-time performance and accuracy. Since the production process involves chemical changes, it is difficult to establish an accurate physical model by mechanism. In view of the characteristics of long carbon fiber production process, many control variables and high control precision requirements, how to form an efficient and stable spinning process data analysis, prediction and optimization system through systematic analysis of the carbon fiber spinning process has become a challenge for researchers. And the problems that the production staff need to overcome urgently.
实用新型内容Utility model content
由于现有技术存在的上述问题，本实用新型的目的是提出一种碳纤维生产数据实时预测云平台，通过本实用新型可采集生产线模拟量，转化为数字量，根据需求从工控机向客户端传送，客户端按需求向服务器进行请求，服务器将得到预测结果传送到指定文件系统，生产决策人员可随时随地访问云平台获取预测结果，指导生产决策。Due to the above-mentioned problems existing in the prior art, the purpose of this utility model is to propose a real-time prediction cloud platform for carbon fiber production data. Through this utility model, the analog quantity of the production line can be collected, converted into digital quantity, and transmitted from the industrial computer to the client according to the demand. , the client makes a request to the server according to the demand, and the server transmits the prediction result to the designated file system, and the production decision-maker can access the cloud platform to obtain the prediction result anytime and anywhere, and guide the production decision.
为实现上述目的，本实用新型可通过以下技术方案予以解决：In order to achieve the above object, the utility model can be solved by the following technical solutions:
一种碳纤维生产数据实时预测云平台，包括数据采集装置，所述数据采集装置与同样在生产现场的工控机相连，工控机与在操作员室的客户端机进行通信，客户端机与执行服务器进行通信，该执行服务器在关闭与客户端机的连接之后与云端服务器进行通信。A real-time prediction cloud platform for carbon fiber production data, including a data acquisition device, the data acquisition device is connected to an industrial computer that is also on the production site, the industrial computer communicates with the client computer in the operator's room, and the client computer communicates with the execution server To communicate, the execution server communicates with the cloud server after closing the connection with the client machine.
作为本实用新型的进一步特征，所述数据采集装置包括数据传感器模块、模拟量数字量转换模块、数据传送模块；所述的工控机主要包括HANA数据库模块、socket通信模块；所述的客户端机器按照生产线子模块分配，每个模块对应一台windows操作系统下的虚拟机；所述的执行服务器主要由通信模块、执行模块、性能检测模型与上传模块组成；所述的云端服务器架构为服务器集群，主要包括通信模块、数据库模块。As a further feature of the utility model, the data acquisition device includes a data sensor module, an analog to digital conversion module, and a data transmission module; the industrial computer mainly includes a HANA database module and a socket communication module; the client machine According to the sub-module distribution of the production line, each module corresponds to a virtual machine under a windows operating system; the execution server is mainly composed of a communication module, an execution module, a performance detection model and an upload module; the cloud server architecture is a server cluster , mainly including communication module and database module.
作为本实用新型的进一步特征，所述的数据传感器模块包括设置在凝固浴换热器腔体内的2组温度传感器，2组压力传感器，以及2组嵌入凝固浴换热器壁的工业视觉传感器共同组成。As a further feature of the present invention, the data sensor module includes 2 sets of temperature sensors, 2 sets of pressure sensors, and 2 sets of industrial vision sensors embedded in the wall of the coagulation bath heat exchanger. composition.
作为本实用新型的进一步特征，所述2组压力传感器组分别位于所述凝固浴换热器底部冷流体入口、热流体入口正下方，每组传感器组由4个相同传感器组成，在底部的分布是以流体入口中心点中心对称；所述2组温度传感器位于所述凝固浴换热器壁高度1/2处，每组含有3块相同温度传感器，所述嵌入凝固浴换热器壁的工业视觉传感器的其中一组位于所述凝固浴换热器内顶部壁冷流体入口边，另一组工业视觉传感器位于所述凝固浴换热器内底部壁冷流体出口边。As a further feature of the present utility model, the two pressure sensor groups are respectively located directly below the cold fluid inlet and the hot fluid inlet at the bottom of the coagulation bath heat exchanger, and each sensor group is composed of four identical sensors. It is symmetrical to the center point of the fluid inlet; the two groups of temperature sensors are located at 1/2 of the wall height of the coagulation bath heat exchanger, and each group contains three identical temperature sensors. One group of visual sensors is located at the inlet side of the top wall cooling fluid in the coagulation bath heat exchanger, and the other group of industrial vision sensors is located at the bottom wall cooling fluid outlet side of the coagulation bath heat exchanger.
作为本实用新型的进一步特征，位于所述凝固浴换热器内顶部壁冷流体入口边的所述一组工业视觉传感器方向为与顶部壁呈75度角俯视，位于所述凝固浴换热器内底部壁冷流体出口边的所述另一组工业视觉传感与底部壁呈75度角仰视。As a further feature of the present utility model, the direction of the group of industrial vision sensors located at the inlet side of the top wall cold fluid in the coagulation bath heat exchanger is to look down at an angle of 75 degrees to the top wall, and to be located in the coagulation bath heat exchanger The other group of industrial vision sensors at the outlet side of the cold fluid on the inner bottom wall and the bottom wall look up at an angle of 75 degrees.
作为本实用新型的进一步特征，所述两组工业视觉传感器分辨率为800×600，每组由两个构成，每组两个视觉传感器采用双目立体式，其焦距与相互间角度均可调节。As a further feature of the utility model, the resolution of the two groups of industrial vision sensors is 800×600, each group consists of two, and each group of two vision sensors adopts a binocular three-dimensional type, and its focal length and mutual angle can be adjusted .
作为本实用新型的进一步特征，所述的模拟量数字量转换模块包括与所述每个温度传感器、压力传感器单独连接的带有间隔定时采集数据的模拟量数字量转换电路，还包括与所述每一组工业视觉传感器连接的图像数字化模块。As a further feature of the present utility model, the analog-to-digital conversion module includes an analog-to-digital conversion circuit connected to each of the temperature sensors and pressure sensors individually with interval timing data collection, and also includes an analog-to-digital conversion circuit connected to the The image digitization module connected to each group of industrial vision sensors.
由于采用以上技术方案，本实用新型的优点在于预测的实时性、快速性与准确性相兼顾，其能针对碳纤维生产工艺流程长、控制变量多以及高控制精度要求的特点，架起实时、快速和准确的碳纤维生产数据实时预测云平台，其通过对碳纤维纺丝过程的系统分析，形成高效稳定的纺丝过程数据分析、预测与优化系统。Due to the adoption of the above technical scheme, the utility model has the advantage of taking into account the real-time, rapidity and accuracy of the prediction. It can set up a real-time, fast And accurate carbon fiber production data real-time prediction cloud platform, which forms an efficient and stable spinning process data analysis, prediction and optimization system through systematic analysis of carbon fiber spinning process.
附图说明Description of drawings
图1为碳纤维生产过程实时预测云平台系统架构图Figure 1 is the real-time prediction cloud platform system architecture diagram of carbon fiber production process
图2为传感器在凝固浴换热器中的位置分布图；Fig. 2 is the location distribution diagram of sensor in coagulation bath heat exchanger;
具体实施方式Detailed ways
下面结合实施例来具体说明本实用新型。The utility model will be specifically described below in conjunction with the embodiments.
如图1所示，以碳纤维生产为例，包括碳纤维生产线上的数据采集装置1，数据采集装置1与同样在生产现场的工控机2相连，工控机2与在操作员室的客户端机3进行通信，客户端机3与执行服务器4进行通信，该执行服务器4(即实时预测执行服务器)在关闭与客户端机3的连接之后与云端服务器5进行通信。As shown in Figure 1, taking carbon fiber production as an example, it includes a data acquisition device 1 on a carbon fiber production line. To communicate, the client machine 3 communicates with the execution server 4, and the execution server 4 (ie, the real-time prediction execution server) communicates with the cloud server 5 after closing the connection with the client machine 3.
所述的数据采集装置位于生产现场，包括生产线数据传感器模块、模拟量数字量转换模块、数据传送模块。如图2所示，传感器模块用于将生产过程的压力温度等非电信号转化为电信号，当前实际应用的传感器装置都是以温度、压力信号为主，这些信号不足以构成用于预测控制的全部参数，因此本实用新型使用温度、压力以及工业视觉传感器。所述的温度传感器可选但不限于是不锈钢探头封装的DS18B20温度传感器芯片,芯片每个引脚均用热缩管隔开，防止短路，内部封胶可防水。所述的压力传感器可选但不限于是普量电子PT500-501，采用高精度高稳定性扩散硅晶体等做为变送器的感压芯片，选进的贴片工艺，配套带有零点、满量程补偿，温度补偿的高精度和高稳定性放大集成电路，将被测量介质的压力转换成电压电信号。所述的工业视觉传感器可选但不限于是带有防水外壳的加拿大DALSA公司工业相机。所述的传感器模块在凝固浴换热器腔体内装配为：温度传感器，压力传感器组，以及嵌入腔体壁的工业视觉传感器共同组成。2组压力传感器(图中A所示)组位于凝固浴换热器底部冷流体入口、热流体入口正下方。每组传感器组由4个相同传感器组成，在底部的分布是以流体入口中心点中心对称。2组温度传感器(图中B所示)位于凝固浴换热器壁高度1/2处，每组含有3块相同温度传感器。嵌入凝固浴换热器壁的工业视觉传感器(图中C所示)其中一组位于凝固浴换热器内顶部壁冷流体入口边，其中第二组于凝固浴换热器内底部壁冷流体出口边。所述的工业视觉传感器其中一组的方向为与顶部壁呈75度角俯视，工业视觉传感器其中第二组的方向为与底部壁呈75度角仰视。两路工业视觉传感器的分辨率为800×600，每组由两个构成，每组两个视觉传感器采用双目立体式，其焦距与相互间角度均可调节。The data acquisition device is located at the production site and includes a production line data sensor module, an analog-to-digital conversion module, and a data transmission module. As shown in Figure 2, the sensor module is used to convert non-electrical signals such as pressure and temperature in the production process into electrical signals. The current practical sensor devices are mainly temperature and pressure signals, and these signals are not enough to constitute predictive control. All parameters, so the utility model uses temperature, pressure and industrial vision sensors. The temperature sensor can be optionally but not limited to a DS18B20 temperature sensor chip packaged with a stainless steel probe. Each pin of the chip is separated by a heat shrinkable tube to prevent short circuits, and the internal sealant can be waterproof. The pressure sensor mentioned is optional but not limited to Puliang Electronics PT500-501, which uses high-precision and high-stability diffused silicon crystals as the pressure-sensitive chip of the transmitter. The selected chip technology is equipped with zero, Full-scale compensation, high-precision and high-stability amplifying integrated circuits for temperature compensation, convert the pressure of the measured medium into voltage electrical signals. The industrial vision sensor can be optional but not limited to an industrial camera of Canada DALSA company with a waterproof casing. The sensor module is assembled in the cavity of the coagulation bath heat exchanger and consists of a temperature sensor, a pressure sensor group, and an industrial vision sensor embedded in the cavity wall. Two sets of pressure sensors (shown as A in the figure) are located directly below the cold fluid inlet and hot fluid inlet at the bottom of the coagulation bath heat exchanger. Each sensor group consists of 4 identical sensors, and the distribution at the bottom is symmetrical to the center point of the fluid inlet. Two groups of temperature sensors (shown as B in the figure) are located at 1/2 of the wall height of the coagulation bath heat exchanger, and each group contains three identical temperature sensors. Of the industrial visual sensors embedded in the wall of the coagulation bath heat exchanger (shown as C in the figure), one group is located at the inlet side of the top wall cooling fluid in the coagulation bath heat exchanger, and the second group is located at the bottom wall cooling fluid in the coagulation bath heat exchanger exit side. The direction of one group of industrial vision sensors is to look down at an angle of 75 degrees from the top wall, and the direction of the second group of industrial vision sensors is to look up at an angle of 75 degrees to the bottom wall. The resolution of the two-way industrial vision sensor is 800×600, and each group consists of two. Each group of two vision sensors adopts a binocular stereo type, and its focal length and mutual angle can be adjusted.
实际的模拟信号无法直接被计算机用于计算处理，因此模拟量数字量转换模块将这些电信号获得后，转化为可以用于计算机计算的数字量，本使用新型所采用的模拟量数字量转化模块自带定时间隔功能，其实现为该模拟量数字量转化模块由ADI公司的AD9574芯片时钟及计数器电路控制使能，可以实现定时功能，这是现有的模拟量数字量转换电路或相关芯片所不具备的。模拟量数字量转换模块包括与每一路温度传感器、压力传感器单独连接的带有采集间隔定时的模拟量数字量转换电路，间隔定时时间为0.54N秒,N为一个正整数，该电路每隔0.54N秒将一组温度模拟量均值和一组压力模拟量均值各转化为1字节16进制数存储，所述的模拟量数字量转换模块还包括与每一路工业视觉传感器连接的图像数字化模块，其控制核心为赛普拉斯公司的片上可编程系统PSoC将所拍摄图像转存成为256级灰度图像并将每一个象素点转为2字节16进制数。间隔定时时间的设定根据传输模块的传送能力而定。由于单幅数据图像的数据量较大，因此采取以0.54秒为最小传输间隔，保证图像数据传输的完整性。N取值越大，传输间隔时间越长，具体的N的数值，要根据图像的大小和传输的数据包格式而定。The actual analog signal cannot be directly used by the computer for calculation and processing, so the analog-to-digital conversion module converts these electrical signals into digital quantities that can be used for computer calculations. The analog-to-digital conversion module used in this new model Self-contained timing interval function, its realization is that the analog-to-digital conversion module is controlled and enabled by the AD9574 chip clock and counter circuit of ADI Company, which can realize the timing function, which is required by the existing analog-to-digital conversion circuit or related chips Not available. The analog-to-digital conversion module includes an analog-to-digital conversion circuit with acquisition interval timing that is individually connected to each temperature sensor and pressure sensor. The interval timing is 0.54N seconds, and N is a positive integer. In N seconds, a group of temperature analog average values and a group of pressure analog average values are each converted into 1-byte hexadecimal numbers for storage, and the analog-to-digital conversion module also includes an image digitization module connected to each industrial vision sensor , its control core is Cypress's on-chip programmable system PSoC, which transfers the captured image into a 256-level grayscale image and converts each pixel into a 2-byte hexadecimal number. The setting of the interval timing time depends on the transmission capability of the transmission module. Due to the large amount of data in a single data image, the minimum transmission interval is 0.54 seconds to ensure the integrity of image data transmission. The larger the value of N, the longer the transmission interval. The specific value of N depends on the size of the image and the format of the transmitted data packet.
目前常见的传输，目前常用的传输方式，是将不同参数使用不同线路分别传输，本使用新型所述的数据传输模块可将温度、压力、图像数据使用相同线路传输，为了实现该目的。所述的数据传送模块将起始段文、得到的温度数据、压力数据、图像数据与结束段文依次连接。每一组数据起始段文为0xFFFF0000FF00、2字节地址段、0x00FF0000FFFF依次共同连接组成,结束段文为0x0000FFFF00FF、2字节地址段、FF00FFFF0000依次共同连接组成。传送速率为每0.54M秒开始传送一次，M值与N值相同。在数据段文之前添加起始段文，在数据段文之后添加结束段文是为了保证传输段文的完整性，本使用新型所述数据传输模块的报文将地址段文分开，在其他传输协议中是没有的。只有当工控机将起始段文、数据段文、结束段文全部接收后，才能正确识别数据采集模块地址和数据，保证正确的接收。The current common transmission method is to use different lines to transmit different parameters separately. The data transmission module described in the present invention can use the same line to transmit temperature, pressure, and image data, in order to achieve this purpose. The data transmission module sequentially connects the start paragraph, the obtained temperature data, pressure data, image data and the end paragraph. The start segment of each group of data is composed of 0xFFFF0000FF00, 2-byte address segment, 0x00FF0000FFFF, and the end segment is 0x0000FFFF00FF, 2-byte address segment, and FF00FFFF0000. The transmission rate is every 0.54M seconds, and the M value is the same as the N value. Adding the start segment before the data segment and adding the end segment after the data segment is to ensure the integrity of the transmission segment. This uses the message of the new data transmission module to separate the address segment. It is not in the agreement. Only when the industrial computer has received all the start segment, data segment and end segment, can the address and data of the data acquisition module be correctly identified to ensure correct reception.
本实用新型中的工控机2位于生产现场，每个子生产过程分配一台工控机，子生产过程包括预氧化、碳化、牵伸过程、凝固浴等。工控机2采用linux下openSUSESP1164位操作系统，系统部署HANA数据库、socket通信模块。新一代数据库应该既能够处理交易数据，又能够应对数据分析以及集群的搜索模式，而这一点正是HANA的特别之处。将HANA数据库应用于碳纤维生产过程，有利于算法的实现与碳纤维生产数据分析，这是采用其它数据库所不具备的优势。通信模块采用面向连接的协议基于TCP/IP协议，与操作员室的客户端中的TCP服务器进行通信。TCP服务器端依次调用socket()、bind()、listen()之后，监听指定的socket地址。TCP客户端依次调用socket()、connect()之后就向TCP服务器发送一个连接请求。TCP服务器监听到这个请求之后，就会调用accept()函数取接收请求，这样连接就建立好了。由于工控机与操作室的客户机是一一对应的关系，故不需要轮询机制。The industrial computer 2 in the utility model is located at the production site, and one industrial computer is assigned to each sub-production process, and the sub-production process includes pre-oxidation, carbonization, drafting process, coagulation bath, etc. Industrial computer 2 adopts openSUSESP1164-bit operating system under linux, and the system deploys HANA database and socket communication module. A new generation of databases should be able to handle transactional data as well as data analysis and cluster search patterns, which is what makes HANA special. Applying the HANA database to the carbon fiber production process is conducive to the realization of algorithms and the analysis of carbon fiber production data, which is an advantage that other databases do not have. The communication module uses a connection-oriented protocol based on the TCP/IP protocol to communicate with the TCP server in the client in the operator room. After the TCP server calls socket(), bind(), and listen() in turn, it listens to the specified socket address. After the TCP client calls socket() and connect() in turn, it sends a connection request to the TCP server. After the TCP server listens to this request, it will call the accept() function to receive the request, so that the connection is established. Since there is a one-to-one relationship between the industrial computer and the client in the operating room, there is no need for a polling mechanism.
本实用新型中的碳纤维生产线客户端机3位于操作人员办公场所，采用windows操作系统，由多个虚拟机组成，挂载在一台性能强大的实体机下。每个虚拟机采用8G内存，1T磁盘空间，8核CPU。每个虚拟机负责一个子生产线流程，也即和一台工控机打交道。包括基于C#和Delphi的人机交互界面、基于SQL的数据库模块、socket通信模块。人机交互界面中用Delphi作为与数据库交互的模块，封装成API被C#调用；C#的windowsform作为操作员使用的界面；通过客户端机器作为socket通信模块的TCP服务器。区别于现存的分布与集散式系统，本使用新型所述的碳纤维生产线客户端为一个实体机下挂载多个虚拟机，每个虚拟机对一台工控机负责，操作人员只需要在同一台实体机上操作即可，有助于节省人力物力。The client machine 3 of the carbon fiber production line in the utility model is located in the office of the operator, adopts the windows operating system, is composed of multiple virtual machines, and is mounted under a powerful physical machine. Each virtual machine uses 8G memory, 1T disk space, and 8-core CPU. Each virtual machine is responsible for a sub-production line process, that is, it deals with an industrial computer. Including human-computer interaction interface based on C# and Delphi, database module based on SQL, socket communication module. In the human-computer interaction interface, Delphi is used as the module interacting with the database, encapsulated into an API and called by C#; the windowsform of C# is used as the interface used by the operator; the client machine is used as the TCP server of the socket communication module. Different from the existing distributed and distributed systems, the new carbon fiber production line client is used to mount multiple virtual machines under one physical machine. Each virtual machine is responsible for one industrial computer. It can be operated on the physical machine, which helps to save manpower and material resources.
本实用新型中的碳纤维生产线执行服务器4位于控制室，包括与客户端通信模块、执行模块、上传模块、性能检测模块。与客户端通信模块也采用socket套接字，不同的是它还要包含轮询机制，即执行服务器上开启exe程序，每隔30秒轮询看是否有一次操作室的客户端请求，并响应第一次查到的请求；算法模块采用动态聚类与多模型SVM结合的算法来进行预测，得到预测结果并传回到客户端，最终关闭本次通信，并把日志写到本地，方便错误排查；上传模块主要通过httpconnection向云端的服务器集群传递数据，所述的上传模块用于将预测结果上传至碳纤维生产线云端服务器汇总保存。性能检测模块每隔30分钟检查一次通信服务器与客户端之间是否能ping通、云端服务器通过http请求是否能访问、操作员客户端与执行服务器的cpu使用率状况，以便实时监测系统的异常。性能检测模块的应用是为了让所述的碳纤维生产过程实时预测云平台系统构成反馈回路，增强系统稳定性。The execution server 4 of the carbon fiber production line in the utility model is located in the control room, and includes a communication module with the client, an execution module, an upload module, and a performance detection module. The communication module with the client also uses socket sockets, the difference is that it also includes a polling mechanism, that is, the execution server starts the exe program, polls every 30 seconds to see if there is a client request from the operation room, and responds The request found for the first time; the algorithm module uses the algorithm combining dynamic clustering and multi-model SVM to make predictions, obtains the prediction results and sends them back to the client, and finally closes the communication and writes the log locally to facilitate errors Check; the upload module mainly transmits data to the server cluster in the cloud through httpconnection, and the upload module is used to upload the prediction results to the cloud server of the carbon fiber production line for summary storage. The performance detection module checks every 30 minutes whether the communication server and the client can be pinged, whether the cloud server can be accessed through http requests, the cpu usage of the operator client and the execution server, so as to monitor the abnormality of the system in real time. The application of the performance detection module is to allow the real-time prediction cloud platform system of the carbon fiber production process to form a feedback loop and enhance system stability.
本实用新型中的碳纤维生产线云端服务器5与执行服务器4采用服务器集群架构，底层数据库采用基于linux的HANA数据库。云端服务器可以满足多用户的实时http请求访问，相关管理维护人员可以随时随地可以查询获取碳纤维实时信息和预测信息，并不局限于固定的办公地点，这是其他管理平台所不具备的功能。The cloud server 5 and the execution server 4 of the carbon fiber production line in the utility model adopt a server cluster architecture, and the underlying database adopts a HANA database based on linux. The cloud server can meet the real-time http request access of multiple users. Relevant management and maintenance personnel can query and obtain real-time carbon fiber information and forecast information anytime and anywhere, not limited to fixed office locations. This is a function that other management platforms do not have.
但是，上述的具体实施方式只是示例性的，是为了更好的使本领域技术人员能够理解本专利，不能理解为是对本专利包括范围的限制；只要是根据本专利所揭示精神的所作的任何等同变更或修饰，均落入本专利包括的范围。However, the above-mentioned specific implementations are only exemplary, and are for better understanding of this patent by those skilled in the art, and cannot be interpreted as limiting the scope of this patent; as long as any Equivalent changes or modifications all fall within the scope of this patent.
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201420288391.7UCN204089882U (en) | 2014-05-30 | 2014-05-30 | A real-time prediction cloud platform for carbon fiber production data |
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201420288391.7UCN204089882U (en) | 2014-05-30 | 2014-05-30 | A real-time prediction cloud platform for carbon fiber production data |
| Publication Number | Publication Date |
|---|---|
| CN204089882Utrue CN204089882U (en) | 2015-01-07 |
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201420288391.7UExpired - Fee RelatedCN204089882U (en) | 2014-05-30 | 2014-05-30 | A real-time prediction cloud platform for carbon fiber production data |
| Country | Link |
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| CN (1) | CN204089882U (en) |
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| CF01 | Termination of patent right due to non-payment of annual fee | Granted publication date:20150107 Termination date:20150530 | |
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