CN102857565A - Intelligent clothes trying-on system based on cloud computing - Google Patents
Intelligent clothes trying-on system based on cloud computing Download PDFInfo
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Abstract
The invention requests the protection for an intelligent clothes trying-on system based on cloud computing. The system adopts intelligent terminals to collect data and transmits the data to a cloud server terminal through a wireless network, and the cloud server terminal collects file information collected by a plurality of intelligent terminals and stores the file information to all nodes. When a plurality of users send requests, the cloud server terminal divides a task into blocks, allocates the blocks of task to different idle resources for processing, obtains a clothes trying-on effect picture, a matching suggestion, color and price and the like through the comprehensive analysis on the data and returns the processed result to the intelligent terminals to be displayed, so as to realize the mass data transmission and the mass data processing between the intelligent terminals and a cloud server.
Description
Technical field
The present invention relates to cloud computing and communication technical field, relate in particular to data storage, data analysis and the data transmission technology of cloud terminal equipment and Cloud Server end.
Background technology
Development along with cloud computing and technology of Internet of things, people are more quick to obtaining of demand information, these data are very easy to people's life simultaneously, progressively realize such as Smart Home, realize that in conjunction with cloud computing and technology of Internet of things Smart Home is undoubtedly a kind of good method.Network is ubiquitous in the life, by network intelligent terminal is connected with Cloud Server, and the real time communication that realizes the two has been a kind of demand.In the market, fitting mirror is a kind of indispensable instrument, and it provides the pattern reference when buying clothes for people, and the user selects by the effect of trying on that fitting mirror obtains clothes.Common fitting mirror can only provide the simplest visual information for the user at present, can not satisfy the demand of client's multi-angle, and existing Intelligent fitting mirror mainly is comprised of display device, picture pick-up device, computer equipment and relevant software thereof.Although this Intelligent fitting mirror can contrast clothes effect by the picture on the display device, but majority is the unit operation system, and depend on simple network service, aspect storage, there is very large deficiency, and under traditional IT architecture, also be difficult to realize the flexible dispatching to computing power and resource, when the fitting mirror use amount increases, mass data processing is required also to improve constantly, the storage resources of server and computational resource have faced powerful challenge, response speed and computing capability have been affected, so along with the increase of demand, such fitting mirror also differs greatly from the requirement of Smart Home.
Because client is numerous, to produce image information and the data of magnanimity in client's fitting process, for existing network storing and processing mode, because limited storage space, operational capability is not strong, the defective of the each side such as scheduling of resource is dumb is to the transmission of large nuber of images information with process and will pose a big pressure to server end and client.Easily cause the problems such as traffic congestion, picture delay.
Summary of the invention
The present invention is directed to present Intelligent fitting mirror in limited storage space, operational capability is not strong, and the defective of the each side such as scheduling of resource is dumb, in conjunction with cloud computing and communication technical field, designed a kind of Intelligent fitting mirror based on cloud computing, this fitting mirror utilizes the cloud platform, and view data is divided into piece, piece is shone upon abbreviation process, carry out mass memory and magnanimity and calculate.
The technical scheme that the present invention solves the problems of the technologies described above employing is as follows.
A kind of intelligent dressing system based on cloud computing, it is characterized in that, comprise: Cloud Server and intelligent terminal, intelligent terminal is common minute surface embedded processor, high-definition camera, display screen, wireless network card, reader, high-definition camera gathers client's pictorial information, reader identification clothing labels information, embedded processor is stored and is deleted local file, and show and check the result who returns from server end, wireless network card with the transmitting data file that collects to Cloud Server, Cloud Server end invokes application design interface API is stored in the information that receives among the distributed file system HDFS, the Cloud Server end is divided into canned data the collection split of a series of blocks, in cluster, copy and produce a series of file fragments, give idle machine resources with file fragment and go to process, and produce a series of Map tasks and Reduce task; The Cloud Server end distributes a Map task or Reduce task to idle customer side; Idle customer side is mapped to a plurality of customer sides with block, and each customer side is called the Map function and produced the middle key assignments key of block, deposits memory in; The Cloud Server end sends the position of buffer memory key to abbreviation work station reduce worker; The key/value collection corresponding with unique middle key assignments key passed to the Reduce function, and the output of Reduce function is stored in a series of output files.
When a plurality of users send request, collaborative work between each server of Cloud Server, be respective segments with parallel task division, and be assigned on the different idling-resources and process, for each fragment that produces, Cloud Server creates automatically a Map(mapping) function is used for processing fragment, then utilizes the Reduce(abbreviation) function carries out Macro or mass analysis, obtains clothes effect and collocation suggestion, color and price return to intelligent terminal.
The present invention has designed a kind of Intelligent fitting mirror based on cloud computing, integrated use intelligent terminal technology, image processing techniques, the network communications technology, cloud computing technology.Each intelligent terminal collects fileinfo and arrives the Cloud Server end by wireless network transmissions, and the Cloud Server end adopts distributed storage and parallel computation, and result of calculation is returned to terminal.
The invention has the beneficial effects as follows: the Intelligent fitting mirror that is different from prior art substantially depends on the unit operation system and can not carry out mass data processing with simple network service, and can not satisfy the defective of the different computation requests of a plurality of users.
Description of drawings
Fig. 1 overall system design figure;
Fig. 2 portable terminal integral module design drawing;
Fig. 3 picture reader systematic schematic diagram;
Fig. 4 Cloud Server end storage schematic diagram;
Fig. 5 Cloud Server end task is processed schematic diagram.
Embodiment
Cloud computing is a kind of emerging technology, it has a powerful resource pool, it is that the storage of many computers and computing capability are put together, and will store and computing capability is distributed on a plurality of nodes in the cluster uniformly, has realized huge storage and computing capability to the super large data set.Cloud computing is take parallel computation as core, scheduling on demand distribution of computation tasks and computational resource, and the cloud storage has realized the storage Full-virtualization, and stronger storage and sharing functionality is provided, Information Security is high, can mass memory and magnanimity calculating.And the equipment requirement to client is very low, has only required simple configuration, and client does not need to buy large number quipments yet, and it is that the mode of serving is used calculating and storage resources, takes as required, pays as required, has saved a large amount of costs for enterprise like this.Therefore, the Intelligent fitting mirror based on cloud computing technology will have very large application prospect.
The present invention is further described below in conjunction with accompanying drawing.
Consult Fig. 1, it is the global design figure of system.In this Intelligent fitting mirror, comprise intelligent object, data acquisition unit, display device and Cloud Server.Wherein data acquisition unit comprises high-definition camera, the RFID reader.High-definition camera is taken the user from the fitting picture of all angles, and the RFID reader reads the information of clothes self by label on the clothes drop, such as manufacturer, price, color, material.These information that collect are sent to the intelligent object of fitting mirror, intelligent object upload the data to the Cloud Server end by wireless network.Utilize cloud computing data processing centre that data are processed, and according to the order that receives, result of calculation is returned to the user.
Fig. 2 is intelligent terminal intelligent object design drawing.Processor then is a kind of intelligent mobile terminal processor, can adopt ARM or Intel atom processor etc., and to realize that the picture piecemeal shows, data upload is downloaded, the user operates the functions such as control.Memory is used for the data that interim storage of processor computing needs, and comprises ID number of clothing labels, color, price, material, the place of production, the pictorial information of trying on.Network interface card is used for realizing the interface of terminal and the network service of Cloud Server end, realize physical connection and signal of telecommunication coupling between the Network Transfer Media, also relate to the send and receive of frame, encapsulation and opening, medium access control, the encoding and decoding of data and the function of data buffer storage etc. of frame.Data input/output interface is used for external I/O equipment.
Whole intelligent terminal software system can adopt Windows CE embedded OS, and this system's right and wrong PC field operating system has been carried powerful communication function and DLL (dynamic link library), has very strong real-time and robustness.The operation interface main menu of fitting mirror is mainly checks and uploads two functions.The data of wherein checking are divided into local pictorial information and server info two classes, and local picture can individual slide demonstration or the slightly comparison diagram demonstration of many hypertonics for trying design sketch on.When picture was checked processing, this intelligent terminal adopted the picture reader based on Windows CE system.When design picture reader, the CEFileManager module that carries with operating system is enumerated picture file on the storage medium to the user, and provide preview with the thumbnail form to the user, make things convenient for the interested picture of trying on of user selection to appreciate in detail, operate.In enumerating the process of picture file, can in the main window thread, create a new thread and come locating file, make things convenient for the user like this in the situation that picture file is too many, can arbitrarily operate a certain the picture of preview amplify appreciation, alleviate the pressure that processing speed is brought to the user.Provide the pattern of checking that certain pictures is amplified to actual size to the user with the CEPicViewer module, and support the simple operations function: select a upper pictures, select next pictures, the lantern slide browse mode, be rotated counterclockwise, turn clockwise, delete, switch to preview mode, withdraw from etc.Application programming interfaces api function and the programming of the Component Object Model com interface that this reader utilizes Windows to provide, the format decoder JPG Decoder that carries with Windows CE system reads and writes decoding and demonstration to the camera file.
The model that picture is checked system as shown in Figure 3.Server info is tried picture on for what the collocation suggestion of download and model or other people uploaded.The content of uploading comprises uploads the picture of trying on of oneself being satisfied with, and upload for others voluntarily and download reference, or own collocation suggestion to this part clothes, or picture is tried in deletion on.
Fig. 4 is Cloud Server end storage schematic diagram.The Cloud Server end is the cloud computing service platform of building with the HADOOP distributed computing framework, adopts HADOOP distributed file system HDFS (Hadoop Distributed Files System) to store.A large amount of message file that a plurality of intelligent terminals are collected arrives the Cloud Server end by wireless network transmissions, and the application programming interface API that directly calling HADOOP provides is stored in file among the HDFS.Back end Datanode by a management node Namenode and some in the HDFS cluster forms, general Cloud Server end only moves a Namenode, and other intelligent terminals in the cluster move respectively Datanode, so the number of back end Datanode is determined by the intelligent terminal number in the cluster.Management node is in charge of the name space (namespace) of file system and client to the access of file.Back end is in charge of the storage on its place node.When file is write fashionable, client Client initiates the file write request to management node Namenode, management node Namenode is according to file size and file configuration situation, return to the information of its administrative section Datanode of institute of Client, the super large file division is become a plurality of blocks of files, and the most basic storage cell of HDFS acquiescence is the data block of 64M, therefore the super large file is divided into the data block of one of 64M, except last, all data blocks all are onesize.Each data block is assigned with and stores on the back end, in order to guarantee the fault-tolerance of system, and to each deposit data copy (being defaulted as 3 copies), when certain back end Datanode breaks down when causing picture file to read, system can obtain data from other back end Datanode.Distributed file system HDFS communications protocol is to be based upon on the ICP/IP protocol.In HDFS, disposed cover remote procedure call (RPC) mechanism, it is to carry out RPC by one group of agreement to call the communication that just can realize between server, HADOOP has defined the communication protocol of oneself, client is connected to Namenode by a configurable tcp port, when client process was wanted to communicate with the Namenode process, personal code work was realized reciprocal process by the ClientProtocol agreement.Datanode process usage data node agreement DatanodeProtocol and Namenode process interaction use the InterDatanodeProtoclol agreement to communicate between the Datanode process.
Cloud computing server end data handling principle schematic diagram of the present invention shown in Figure 5.The present invention uses the MapReduce framework.MapReduce with a complexity to operate in parallel procedure on the large-scale cluster abstract be two functions: mapping Map and abbreviation Reduce.The Cloud Server end calls MapReduce(mapping abbreviation) storehouse is divided into the data message of storage the collection split of M block, in cluster, copy and produce a series of file fragments, give idle machine resources with file fragment and go to process, and produce a series of Map tasks and Reduce task; The Cloud Server end distributes a Map task or Reduce task to idle customer side; The data-mapping that idle customer side will be cut apart is to a plurality of customer sides, and each customer side is called the Map function and produced the middle key assignments key of block, deposits memory in; The Cloud Server end sends the position of buffer memory key to abbreviation work station reduce worker; With with unique in the middle of key/value collection corresponding to key assignments key pass to the Reduce function, in the output of Reduce function is stored in a series of (R) output file.
The Map function call is distributed on many clients, the Data Segmentation of inputting in the memory becomes the collection split of M block, can be by parallel processing on different clients, by the middle key assignments key of cutting apart that defines with segmentation function, form R data file output, Reduce calls to be distributed on many clients and processes, and the value of cutting apart quantity M is definite by the block size, and output file is counted R and specified in advance by the user.The implementation step is as follows:
1. call the MapReduce storehouse, according to predefined size, the pictorial information file division of trying effect on is become a plurality of (M) sheet, form the block cluster, then in cluster, copy the generation file fragment, for each file fragment that produces, the calculation task that distributes according to load-balancing algorithm is given idle machine resources with file fragment and is gone to process, and produces M Map task and R Reduce task will be assigned with.The size of each sheet generally is redefined for 16 to 64MB, also can be other size.
2. Cloud Server is inquired about the state of all customer sides, and Cloud Server distributes a Map task or Reduce task to idle customer side.
3. the content of input block split is read in the customer side that has been assigned with the Map task, and it is mapped to a plurality of customer sides, key assignments in the middle of the key/value(/ operand attribute is therefrom extracted in each customer side) right, then key/value to passing to user-defined Map function.Producing the middle key assignments key of block by the Map function is cached in the internal memory.
4. the middle key assignments that is buffered in the internal memory periodically is written on the local disk of customer side, by segmentation function they is write R zone.The position of buffer memory key is transmitted to Cloud Server end primary control program piece on the local disk, and the primary control program piece is responsible for these positions are sent to reduce worker(abbreviation processing workstation).
5. receive the position informing of primary control program piece as reduce worker, the key that inquiring position is corresponding makes by ordering to have the together content-aggregated of identical key.
6. reduce worker iteration was arranged the intermediate data of order, for each unique middle key assignments key, the key/value collection corresponding with key passed to user-defined Reduce function, and the output of Reduce function is added in the final output file that Reduce cuts apart.
After being successfully completed, (each Reduce task produces the file by the user-assigned name word) in R the output file left in the output of carrying out the MapReduce operation in.Generally, do not need to merge this R file and become a file, often these files are used as the MapReduce that an input passes to other and call, perhaps in the Distributed Application that can process a plurality of divided files, use them.
The present invention adopts the advanced technologies such as cloud computing, Internet of Things and intelligent terminal, common visual information is converted into computer vision information, it all is to carry out at the Cloud Server end that data storage and data are calculated, intelligent terminal only need to carry out shirtsleeve operation, just can obtain powerful storage capacity and computing capability, so not only can bring more convenience to the client, also save a large amount of costs for businessman simultaneously.
Claims (3)
1. intelligent dressing system based on cloud computing, it is characterized in that, comprise: Cloud Server and intelligent terminal, intelligent terminal comprises processor, high-definition camera, display screen, wireless network card, reader, high-definition camera gathers client's pictorial information, reader identification clothing labels information, embedded processor stores processor pictorial information and label information, be transferred to the Cloud Server end by wireless network card, Cloud Server end invokes application design interface API is stored in the information that receives among the distributed file system HDFS, the Cloud Server end is divided into canned data the collection split of a series of blocks, in cluster, copy and produce a series of file fragments, give idle machine resources with file fragment and go to process, and produce a series of Map tasks and Reduce task; The Cloud Server end distributes a Map task or Reduce task to idle customer side; Idle customer side is mapped to a plurality of customer sides with block, and each customer side is called the Map function and produced the middle key assignments key of block, deposits memory in; The Cloud Server end sends the position of buffer memory key to abbreviation work station reduce worker; The key/value collection corresponding with unique middle key assignments key passed to the Reduce function, and the output of Reduce function is stored in a series of output files.
2. intelligent dressing system according to claim 1, it is characterized in that, the information storage further comprises, in distributed file system HDFS cluster, formed by a management node Namenode and a plurality of back end Datanode, Namenode of Cloud Server end operation, the client moves respectively Datanode, and management node is in charge of the name space of file system and client to the access of file, and back end is in charge of the storage on the node of place.
3. intelligent dressing system according to claim 2, it is characterized in that, when file is write fashionable, client is initiated the data write request to management node, management node is according to data file size and configuration, return to the information of its administrative section Datanode of institute of client, the super large file division is become the data block of a plurality of 64M, client is connected to Namenode by a tcp port, when client is wanted to communicate with Namenode, realize reciprocal process by client protocol, Datanode process usage data node agreement and Namenode process interaction.
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| CN103440316A (en) * | 2013-08-27 | 2013-12-11 | 重庆邮电大学 | Intelligent wardrobe based on cloud calculations and control and processing method thereof |
| WO2014146543A1 (en) * | 2013-03-22 | 2014-09-25 | 中国银联股份有限公司 | Data migration method in tiered storage system in cloud computing environment |
| CN104133942A (en) * | 2014-07-08 | 2014-11-05 | 上海置森数码技术有限公司 | Intelligent 3D life data cloud service system |
| CN104881581A (en) * | 2015-05-28 | 2015-09-02 | 成都艺辰德迅科技有限公司 | IoT (Internet of Things) data high-efficiency analysis method |
| CN105608584A (en) * | 2015-07-16 | 2016-05-25 | 宇龙计算机通信科技(深圳)有限公司 | Clothing collocation recommendation method, household terminal and server |
| CN107467987A (en) * | 2017-08-28 | 2017-12-15 | 厦门臻鑫豪科技有限公司 | Intelligent fitting mirror |
| CN107515860A (en) * | 2017-08-07 | 2017-12-26 | 中译语通科技（青岛）有限公司 | A kind of machine translation method based on neuron |
| CN107968786A (en) * | 2017-12-05 | 2018-04-27 | 北京奇艺世纪科技有限公司 | Distributed RPC systems and data processing method and processing device |
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| CN111245958A (en) * | 2020-03-09 | 2020-06-05 | 中国能源建设集团陕西省电力设计院有限公司 | Unified cloud computing system for ubiquitous power Internet of things |
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| CN117196223A (en) * | 2023-09-13 | 2023-12-08 | 山东广电信通网络运营有限公司 | Fused media news management system based on Internet |
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| CN103440316A (en) * | 2013-08-27 | 2013-12-11 | 重庆邮电大学 | Intelligent wardrobe based on cloud calculations and control and processing method thereof |
| CN104133942A (en) * | 2014-07-08 | 2014-11-05 | 上海置森数码技术有限公司 | Intelligent 3D life data cloud service system |
| CN104881581A (en) * | 2015-05-28 | 2015-09-02 | 成都艺辰德迅科技有限公司 | IoT (Internet of Things) data high-efficiency analysis method |
| CN105608584A (en) * | 2015-07-16 | 2016-05-25 | 宇龙计算机通信科技(深圳)有限公司 | Clothing collocation recommendation method, household terminal and server |
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| WO2019205491A1 (en) * | 2018-04-28 | 2019-10-31 | 香港乐蜜有限公司 | Information processing method and device for trying on clothes |
| CN110415062A (en) * | 2018-04-28 | 2019-11-05 | 香港乐蜜有限公司 | The information processing method and device tried on based on dress ornament |
| CN109120663A (en) * | 2018-06-07 | 2019-01-01 | 滨州学院 | A kind of long-range processing method of panoramic imagery based on cloud computing and application system |
| CN112214466A (en) * | 2019-07-12 | 2021-01-12 | 海能达通信股份有限公司 | Distributed cluster system, data writing method, electronic equipment and storage device |
| CN111245958A (en) * | 2020-03-09 | 2020-06-05 | 中国能源建设集团陕西省电力设计院有限公司 | Unified cloud computing system for ubiquitous power Internet of things |
| CN113406894A (en) * | 2021-07-22 | 2021-09-17 | 深圳市伟峰科技有限公司 | Intelligent household control system, method, equipment and storage medium based on cloud computing |
| CN113656176A (en) * | 2021-08-19 | 2021-11-16 | 北京百度网讯科技有限公司 | Cloud equipment distribution method, device, system, electronic equipment, medium and product |
| CN117196223A (en) * | 2023-09-13 | 2023-12-08 | 山东广电信通网络运营有限公司 | Fused media news management system based on Internet |
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