CN102968676A - Textile industry production process management system based on embedded terminal and internet of things - Google Patents
Textile industry production process management system based on embedded terminal and internet of things Download PDFInfo
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- CN102968676A CN102968676A CN2011102555383A CN201110255538A CN102968676A CN 102968676 A CN102968676 A CN 102968676A CN 2011102555383 A CN2011102555383 A CN 2011102555383A CN 201110255538 A CN201110255538 A CN 201110255538A CN 102968676 A CN102968676 A CN 102968676A
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Abstract
The invention discloses a textile industry production process management system based on an embedded terminal and an internet of things. A bottom level is a production control system, cloud nodes are used as a foundation to collect various production data in a production control system, the various production data is transmitted to the textile industry production process management system of the embedded terminal and the internet of things through wireless embedded type and various wireless handheld type transmission, and a high level management plan system such as an enterprise resource planning (ERP) system is used for conducting management. A cloud computing evaluation model is built for the cloud node data, a WNN algorithm is used for conducting data mining, and real-time production information of a textile industry is extracted. A dynamic ALOHA algorithm is used for achieving ad-hoc network transmission of wireless node data. In the production process management system, paper bills in a production link are replaced with terminal electronic bills, the production data is transmitted to a computer of a manager in real time, and real-time production consulting is formed on this basis. The system pattern is low in cost and good in usability and greatly improves production efficiency.
Description
Technical field
The present invention relates to yarn fabric networking field, be specifically related to a kind of textile industry production process management system based on built-in terminal and Internet of Things.
Background technology
Textile industry is the basic industry that China is traditional, concern the people's livelihood.Particularly medium-sized and small enterprises quantity is many, the information system management level is low in textile industry enterprise.At present, the software product that more domestic trade management software vendor provide comes into operation in part textile enterprise, but because the singularity of textile industry causes most of enterprise can not reach the purpose of enforcement, success ratio is very low.Some Enterprises namely allows to reach the standard grade smoothly, still relies on traditional papery document to transmit production data, personnel's yield data, qualitative data, is difficult to directly generate in the production line electronic document.This also is a bottleneck in the information technology evolution.This problem does not thoroughly solve, even gone up software systems, may cause the holistic management decrease in efficiency yet.If solve smoothly the electronic problem of bottom data (Yield and quality), textile industry just can be fully unimpeded from the data stream that is woven into the whole flow process of rear processing so.Thereby the information system management level of enterprise greatly.
Summary of the invention
The object of the present invention is to provide a kind of textile industry production process management system based on built-in terminal and Internet of Things, changed the pattern of traditional textile management software, utilize Table top type built-in terminal, radio hand-held equipment and wireless senser to carry out the wireless collection of data, with it routine work instrument and device data acquisition terminal that becomes each procedure of worker at the production line, in the process of its work, just finished the process of data acquisition.This kind pattern cost is low, ease for use good, the information system management scheme that more can accept for the medium and small textile enterprise of enormous amount.
Textile industry production process management system based on built-in terminal and Internet of Things of the present invention:
Bottom is production control system, all kinds of production datas in take the cloud node as basis collection production control system, by wireless built and the transmission of all kinds of wireless hand-held, be transferred to the textile industry production process management system of built-in terminal and Internet of Things, manage with top management planning system such as ERP system again;
For all kinds of production datas in the production control system of each cloud node collection, set up the cloud computing assessment models, use the WNN algorithm to carry out data mining, extract the real-time production information of textile industry; Wherein, the collection of described cloud node specifically, by adopting technology of Internet of things, finished product, energy consumption, labor cost, sales data, supplier or these field datas of raw material weave shrinkage of enterprise being produced required starting material, accessory, production gather as the cloud node, are transferred to cloud computing data processing centre (DPC).
Adopt dynamic ALOHA algorithm to realize the MANET transmission of node data, to solve the problem of node collision, according to cloud number of nodes and each node handling capacity dynamic assignment timeslot number T=2.392 2 * Sr (4), determine the data length of every frame, wherein, Sr represents the slotted random algorithm, and 4 is minislot parameter.
Preferably, field data for the collection of cloud node, energy distribution according to WNN algorithm mined information: fk (x)=∑ hj=wjk[ψ (∑ pi (xi-bjaj)], xi (i=1 wherein, 2, ..., p) be i input variable of input layer, k=1,2, ..., q, h are the number of hidden nodes, ψ is the wavelet basis function of hidden layer, wjk be j node of hidden layer to the connection weights of k node of output layer, bj and aj are respectively translation parameters (threshold value of hidden node) and the flexible parameters (input layer is to the weights of hidden node) of wavelet function, hj is wavelet basis function number learning value, fk (x) expression is to the predicted value of input variable x.
In contrast to prior art, advantage of the present invention is:
1, adopts dynamic ALOHA algorithm to solve the data collision problem of a plurality of wireless builts and hand-held data collection terminal, realize the MANET transmission of node data.
2, based on cloud model and technology of Internet of things, wireless built and all kinds of wireless hand-held data collection station are extended to each textile enterprise one line production scene as a cloud node, for textile enterprise provides various wireless ERP services.
3, all kinds of production datas that gather based on each cloud node are set up the cloud computing assessment models, use the WNN algorithm to carry out data mining, extract the real-time production information of textile industry, for enterprise's production, buying and plan provide decision support.
4, this production process management system is with cheaply, do not change the data such as the production from bottom Real-time Collection to enterprise, quality of management mode of enterprise, for important data basis has been established in the procedure management of enterprise.The TETMES system is traditional ERP system the transmission of data, and therefore, the software systems of traditional mode are the application on our upper strata, do not have competitive relation; Standardized data-interface provides real time data to strengthen its function for ERP and third party's production procedure software.
Embodiment
Embodiment 1
The textile industry production process management system based on built-in terminal and Internet of Things of invention, technical characterictic is as follows:
(1) adopts dynamic ALOHA algorithm to solve the data collision problem of a plurality of wireless builts and hand-held data collection terminal, realize the MANET transmission of node data.In order to solve the problem of node collision, according to cloud number of nodes and each node handling capacity dynamic assignment timeslot number T=2.392 2 * Sr (4), determine the data length of every frame.
(2) based on cloud model and technology of Internet of things, wireless built and all kinds of wireless hand-held data collection station are extended to each textile enterprise one line production scene as a cloud node, for textile enterprise provides various wireless ERP services, solved the bottleneck of traditional E RP data acquisition link.Because information node is to downward-extension, traditional data transmission chain obtains keeping, the user still can be under existing production management flow process according to the operating of traditional habit, unique different be exactly that the papery document that originally needs is replaced by the electronic documents of all kinds of wireless data acquisition terminals.With traditional ERP relatively, the wireless ERP system that makes up based on cloud model more is conducive to a vast line ordinary labourer to be accepted, the production data that gathers more promptly and accurately is convenient to company manager and is grasped in real time the enterprise production and management state.
(3) all kinds of production datas that gather based on each cloud node are set up the cloud computing assessment models, use the WNN algorithm to carry out data mining, extract the real-time production information of textile industry, for enterprise's production, buying and plan provide decision support.Owing to adopt technology of Internet of things, enterprise produces a large amount of field datas such as the finished product, energy consumption, labor cost, sales data, supplier, raw material weave shrinkage of required starting material material, accessory, production and all collects our cloud computing data processing centre (DPC) by the cloud node.For these a large amount of raw data, energy distribution according to WNN algorithm mined information, fk (x)=∑ hj=wjk[ψ (∑ pi (xi-bjaj)], xi (i=1 wherein, 2, ..., p) be i input variable of input layer, k=1,2, ..., q, h are the number of hidden nodes, Ψ is the wavelet basis function of hidden layer, wjk be j node of hidden layer to the connection weights of k node of output layer, bj and aj are respectively translation parameters (threshold value of hidden node) and the flexible parameters (input layer is to the weights of hidden node) of wavelet function, hj is wavelet basis function number learning value, fk (x) expression is to the predicted value of input variable x.By adjusting Wjk, bj and these three parameters of aj, we can extract the density distributions that enterprise produces the links key element, evading the investment of production risk for textile enterprise provides with reference to the property decision support data, avoid blindly enlarging the production of certain kind, cause over capacity, the waste social resources.
The process management system based on the production management system project of embedded technology and platform of internet of things for weaving enterprise of the present invention, by providing the good embedded platform of ease for use and radio hand-held equipment to offer each operation librarian use as instrument, when finishing this post work, just carried out the electronic data submission.This system is after conception realizes, in several textile mills repeatedly actual test and demonstration.The project implementation produces a desired effect, the papery document of production link is replaced by the electronic document of terminal one by one, a large amount of production datas can be delivered on the gerentocratic computer in real time, and forms on this basis real-time production consulting, has greatly improved production efficiency.
When system uses, it directly is the upgrading to existing textile test machinery.Supporting by with textile test equipment producer, the cloth inspection machine is intelligent, digitizing, and inspection machine really becomes weaves the important step that enterprise's production procedure part directly provides electronic production data.For textile inspection device fabrication industry has proposed new standard and direction.
Claims (4)
1. based on the textile industry production process management system of built-in terminal and Internet of Things, it is characterized in that,
Bottom is production control system, all kinds of production datas in take the cloud node as basis collection production control system, by wireless built and the transmission of all kinds of wireless hand-held, be transferred to the textile industry production process management system of built-in terminal and Internet of Things, manage with top management planning system such as ERP system again;
For all kinds of production datas in the production control system of each cloud node collection, set up the cloud computing assessment models, use the WNN algorithm to carry out data mining, extract the real-time production information of textile industry;
Adopt dynamic ALOHA algorithm to realize the MANET transmission of node data, to solve the problem of node collision.
2. the textile industry production process management system based on built-in terminal and Internet of Things according to claim 1, it is characterized in that, dynamically in the ALOHA algorithm, according to cloud number of nodes and each node handling capacity dynamic assignment timeslot number T=2.392 2 * Sr (4), determine the data length of every frame, Sr represents the slotted random algorithm, and 4 is minislot parameter.
3. the textile industry production process management system based on built-in terminal and Internet of Things according to claim 1, it is characterized in that, the collection of described cloud node specifically, by adopting technology of Internet of things, finished product, energy consumption, labor cost, sales data, supplier or these field datas of raw material weave shrinkage of enterprise being produced required starting material, accessory, production gather as the cloud node, are transferred to cloud computing data processing centre (DPC).
4. the textile industry production process management system based on built-in terminal and Internet of Things according to claim 1, it is characterized in that, field data for the collection of cloud node, energy distribution according to WNN algorithm mined information: fk (x)=∑ hj=wjk[ψ (∑ pi (xi-bjaj)], wherein, xi (i=1,2, ..., p) be i input variable of input layer, k=1,2, ..., q, h are the number of hidden nodes, ψ is the wavelet basis function of hidden layer, wjk be j node of hidden layer to the connection weights of k node of output layer, bj and aj are respectively translation parameters (threshold value of hidden node) and the flexible parameters (input layer is to the weights of hidden node) of wavelet function, hj is wavelet basis function number learning value, fk (x) is the predicted value to input variable x.
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Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN104680309A (en) * | 2015-02-01 | 2015-06-03 | 绍兴君泰纺织科技有限公司 | Textile ERP (Enterprise Resource Planning) management system |
| WO2015196736A1 (en) * | 2014-06-25 | 2015-12-30 | 湛江中湛纺织有限公司 | Automatic management system for textile production and management method thereof |
| WO2018051362A1 (en) * | 2016-09-19 | 2018-03-22 | Jothimurugan Amirthalingam | An apparatus and a method for process identification in spinning machines. |
| CN108764623A (en) * | 2018-04-17 | 2018-11-06 | 姘磋储 | A kind of high in the clouds control hangar system based on technology of Internet of things |
| CN109578209A (en) * | 2018-12-13 | 2019-04-05 | 运城学院 | A kind of complicated wind-powered electricity generation power generation parameter control system based on embedded Control combination Internet of Things |
| WO2019169641A1 (en) * | 2018-03-09 | 2019-09-12 | 香港纺织及成衣研发中心有限公司 | Method and system for estimating ecological influence of textile fabric production |
| CN112836924A (en) * | 2020-12-11 | 2021-05-25 | 国家电网有限公司 | Resource allocation auditing method and device, electronic equipment and storage medium |
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Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2015196736A1 (en) * | 2014-06-25 | 2015-12-30 | 湛江中湛纺织有限公司 | Automatic management system for textile production and management method thereof |
| CN104680309A (en) * | 2015-02-01 | 2015-06-03 | 绍兴君泰纺织科技有限公司 | Textile ERP (Enterprise Resource Planning) management system |
| WO2018051362A1 (en) * | 2016-09-19 | 2018-03-22 | Jothimurugan Amirthalingam | An apparatus and a method for process identification in spinning machines. |
| WO2019169641A1 (en) * | 2018-03-09 | 2019-09-12 | 香港纺织及成衣研发中心有限公司 | Method and system for estimating ecological influence of textile fabric production |
| GB2593007A (en) * | 2018-03-09 | 2021-09-15 | The Hong Kong Res Institute Of Textiles And Apparel Limted | Method and system for estimating ecological influence of textile fabric production |
| CN108764623A (en) * | 2018-04-17 | 2018-11-06 | 姘磋储 | A kind of high in the clouds control hangar system based on technology of Internet of things |
| CN109578209A (en) * | 2018-12-13 | 2019-04-05 | 运城学院 | A kind of complicated wind-powered electricity generation power generation parameter control system based on embedded Control combination Internet of Things |
| CN109578209B (en) * | 2018-12-13 | 2020-04-21 | 运城学院 | Complex wind power generation parameter control system based on embedded control and Internet of things |
| CN112836924A (en) * | 2020-12-11 | 2021-05-25 | 国家电网有限公司 | Resource allocation auditing method and device, electronic equipment and storage medium |
| CN112836924B (en) * | 2020-12-11 | 2023-08-08 | 国家电网有限公司 | Method, device, electronic equipment and storage medium for resource allocation audit |
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Application publication date: 20130313 |