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WO2022082874A1 - 材料制造关键环节分析方法及系统 - Google Patents

材料制造关键环节分析方法及系统 Download PDF

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Publication number
WO2022082874A1
WO2022082874A1 PCT/CN2020/126809 CN2020126809W WO2022082874A1 WO 2022082874 A1 WO2022082874 A1 WO 2022082874A1 CN 2020126809 W CN2020126809 W CN 2020126809W WO 2022082874 A1 WO2022082874 A1 WO 2022082874A1
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Prior art keywords
material manufacturing
link
frequent
links
area
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PCT/CN2020/126809
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English (en)
French (fr)
Inventor
张宇
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苏州知瑞光电材料科技有限公司
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Publication of WO2022082874A1 publication Critical patent/WO2022082874A1/zh

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24—Querying
    • G06F16/245—Query processing
    • G06F16/2458—Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
    • G06F16/2465—Query processing support for facilitating data mining operations in structured databases
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24—Querying
    • G06F16/245—Query processing
    • G06F16/2458—Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
    • G06F16/2462—Approximate or statistical queries
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24—Querying
    • G06F16/248—Presentation of query results
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/70—Information retrieval; Database structures therefor; File system structures therefor of video data
    • G06F16/78—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
    • G06F16/7867—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using information manually generated, e.g. tags, keywords, comments, title and artist information, manually generated time, location and usage information, user ratings
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/04—Manufacturing
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/30—Computing systems specially adapted for manufacturing

Definitions

  • the invention relates to the technical field of data management, in particular to a method and system for analyzing key links of material manufacturing.
  • the purpose of the embodiments of the present invention is to provide a method and system for analyzing key links of material manufacturing, which can accurately judge the key links of each material manufacturing area, so as to make scientific decisions for subsequent material manufacturing.
  • a method for analyzing key links of material manufacturing is provided, which is applied to a server, and the method includes:
  • Control each material manufacturing monitoring equipment to collect the material manufacturing monitoring video stream of each material manufacturing area, and obtain the material manufacturing monitoring video stream sent by each material manufacturing monitoring equipment.
  • the material manufacturing monitoring video stream includes the video frame and video of the material manufacturing monitoring equipment. Label Information;
  • the material manufacturing monitoring video stream sent by each material manufacturing monitoring equipment is randomly repackaged and then encrypted and sent to the data analysis server for key link analysis;
  • the analysis results of the key links of material manufacturing reflecting each material manufacturing area are generated and sent to the user terminal for display.
  • the step of controlling each material manufacturing monitoring device to collect material manufacturing monitoring video streams in each material manufacturing area includes:
  • the environmental acquisition path collects material manufacturing surveillance video streams in each material manufacturing area.
  • the step of randomly repackaging the material manufacturing monitoring video stream sent by each material manufacturing monitoring device and then sending it to the data analysis server for key link analysis after encryption settings includes:
  • the step of sending the random number m and the encrypted random repackaging data set to the data analysis server for key link analysis includes:
  • the step of generating an analysis result reflecting the key links of material manufacturing in each material manufacturing area according to the centralized frequent links and frequent link labels of each material manufacturing area obtained by statistics and sending it to the user terminal for display includes: :
  • the centralized frequent links and frequent link labels of each material manufacturing area obtained by statistics, determine the collection time characteristics and frequent link label characteristics of each material manufacturing area;
  • the analysis results of the key links of material manufacturing reflecting each material manufacturing area are generated and sent to the user terminal for display.
  • a material manufacturing key link analysis system which is applied to a server, and the device includes:
  • the control and acquisition module is used to control each material manufacturing monitoring device to collect the material manufacturing monitoring video stream of each material manufacturing area, and acquire the material manufacturing monitoring video stream sent by each material manufacturing monitoring device, the material manufacturing monitoring video stream includes material manufacturing monitoring The video frame and video tag information of the device;
  • the encrypted sending module is used to randomly repackage the material manufacturing monitoring video stream sent by each material manufacturing monitoring equipment, and then send it to the data analysis server for key link analysis after encryption settings;
  • the receiving statistics module is used to receive the past frequent links and link continuous information of each material manufacturing area extracted by the data analysis server after data decryption, and make statistics according to the extracted past frequent links and link continuous information of each material manufacturing area. Centralized frequent links and frequent link labels in each material manufacturing area;
  • the generating and sending module is used to generate the analysis results of the key links of material manufacturing reflecting each material manufacturing area according to the centralized frequent links and frequent link labels of each material manufacturing area obtained by statistics, and send it to the user terminal for display.
  • a readable storage medium is provided, and a computer program is stored on the readable storage medium.
  • the computer program is run by a processor, the steps of the above-mentioned method for analyzing key links of material manufacturing can be executed.
  • the method and system for analyzing key links of material manufacturing perform random repackaging processing on the material manufacturing monitoring video stream sent by each material manufacturing monitoring device, and then encrypt and set it and send it to the system.
  • the data analysis server analyzes the key links, and then receives the past frequent links and link continuous information of each material manufacturing area extracted by the data analysis server after data decryption, and extracts the past frequent links and link continuous information of each material manufacturing area. Count the centralized frequent links and frequent link labels of each material manufacturing area, and finally generate the analysis results of the key links of material manufacturing reflecting each material manufacturing area according to the centralized frequent links and frequent link labels of each material manufacturing area obtained by statistics, and send them to the user terminal for processing. show. In this way, the key links of each material manufacturing area can be accurately judged, so as to make scientific decisions for subsequent material manufacturing.
  • FIG. 1 shows a schematic diagram of components of a server provided by an embodiment of the present invention
  • FIG. 2 shows a schematic flowchart of the method for analyzing key links in material manufacturing provided by an embodiment of the present invention
  • FIG. 3 shows a block diagram of functional modules of a system for analyzing key links in material manufacturing provided by an embodiment of the present invention.
  • FIG. 1 shows an exemplary component diagram of server 100 .
  • Server 100 may include one or more processors 104, such as one or more central processing units (CPUs), each of which may implement one or more hardware threads.
  • the server 100 may also include any storage medium 106 for storing any kind of information such as code, settings, data, and the like.
  • storage medium 106 may include any one or a combination of the following: any type of RAM, any type of ROM, flash memory devices, hard disks, optical disks, and the like. More generally, any storage medium can use any technology to store information. Further, any storage medium may provide volatile or non-volatile retention of information. Further, any storage medium may represent a fixed or removable component of server 100 .
  • server 100 may perform any operation of the associated instructions.
  • the server 100 also includes one or more drive units 108 for interacting with any storage media, such as hard disk drive units, optical disk drive units, and the like.
  • Server 100 also includes input/output 110 (I/O) for receiving various inputs (via input unit 112 ) and for providing various outputs (via output unit 114 ).
  • I/O input/output 110
  • One particular output mechanism may include presentation device 116 and associated graphical user interface (GUI) 118 .
  • Server 100 may also include one or more network interfaces 120 for exchanging data with other devices via one or more communication units 122 .
  • One or more communication buses 124 couple together the components described above.
  • the communication unit 122 may be implemented in any manner, eg, via a local area network, a wide area network (eg, the Internet), a point-to-point connection, etc., or any combination thereof.
  • Communication unit 122 may include any combination of hardwired links, wireless links, routers, gateway functions, name servers 100, etc. governed by any protocol or combination of protocols.
  • the server 100 is connected in communication with the first invoicing terminal and the second invoicing terminal, and stores the management accounts of each invoicing group and the invoicing database corresponding to each management account.
  • FIG. 2 shows a schematic flowchart of a method for analyzing key links in material manufacturing provided by an embodiment of the present invention.
  • the method for analyzing key links in material manufacturing can be executed by the server 100 shown in FIG. 1 .
  • the detailed steps in the method for analyzing key links in material manufacturing are introduced. as follows.
  • Step S110 controlling each material manufacturing monitoring device to collect material manufacturing monitoring video streams in each material manufacturing area, and acquiring material manufacturing monitoring video streams sent by each material manufacturing monitoring device, where the material manufacturing monitoring video stream includes the video of the material manufacturing monitoring device frame and video tag information.
  • step S120 the material manufacturing monitoring video stream sent by each material manufacturing monitoring device is randomly repackaged, encrypted and set, and then sent to the data analysis server for key link analysis.
  • Step S130 receiving the past frequent links and link continuation information of each material manufacturing area extracted after data decryption by the data analysis server, and statistics each material manufacturing area according to the extracted past frequent links and link continuation information of each material manufacturing area.
  • the concentrated frequent links and frequent link labels of the region are
  • Step S140 according to the statistics of the concentrated frequent links and frequent link labels of each material manufacturing area, generate an analysis result of the material manufacturing key link reflecting each material manufacturing area, and send it to the user terminal for display.
  • the material manufacturing monitoring video stream sent by each material manufacturing monitoring equipment is randomly repackaged, and then encrypted and set, and sent to the data analysis server for key link analysis, and then received by the data analysis server for data decryption.
  • the extracted past frequent links and link continuation information of each material manufacturing area, and according to the extracted past frequent links and link continuous information of each material manufacturing area, the centralized frequent links and frequent link labels of each material manufacturing area are counted, and finally according to the statistics
  • the obtained centralized frequent links and frequent link labels of each material manufacturing area are generated to reflect the analysis results of the material manufacturing key links of each material manufacturing area and sent to the user terminal for display. In this way, the key links of each material manufacturing area can be accurately judged, so as to make scientific decisions for subsequent material manufacturing.
  • step S110 the location information of the material manufacturing monitoring equipment in each material manufacturing area and the operating status of the material manufacturing monitoring equipment can be obtained, and then the location information and the material manufacturing monitoring equipment in each material manufacturing area can be obtained.
  • the control and collection node of the monitoring equipment is pushed to each material manufacturing monitoring equipment to be collected, so as to control each material manufacturing monitoring equipment to collect the material manufacturing monitoring video stream of each material manufacturing area according to the received environmental collection path.
  • the material manufacturing monitoring video stream sent by each material manufacturing monitoring device can be randomly repacked to obtain a random repackaging data set, and then a random number m is generated, and the random repacking processing is performed for the random repackaging process.
  • a random number m is generated, and the random repacking processing is performed for the random repackaging process.
  • For each character in the data set convert the ASCII value of the character into the m-ary number of the specified number of digits, and then combine the m-ary number of the specified number of digits converted for each character respectively, and obtain the encrypted random repetition. Packing and processing the data set, and finally sending the random number m and the encrypted random repackaging processing data set to the data analysis server for key link analysis.
  • the random number m may be inserted into the pre-agreed position in the encrypted random repackaging data set according to the position pre-agreed with the data analysis server, and the insertion The encrypted random repackaging data set containing the random number m is sent to the data analysis server.
  • the random number m and the encrypted random repackaging processing data set may be set with the same mark respectively, and the random number m with the mark is set through the first communication The link is sent to the data analysis server, and the encrypted random repackaging processing data set set with the mark is sent to the data analysis server through the second communication link.
  • the collection time characteristics and frequent link label characteristics of each material manufacturing area can be determined, and then according to each material manufacturing area.
  • the collection time characteristics of the area and the label characteristics of frequent links are generated to reflect the analysis results of the key links of material manufacturing in each material manufacturing area and sent to the user terminal for display.
  • FIG. 3 shows a functional block diagram of a material manufacturing key link analysis system 200 provided by an embodiment of the present invention.
  • the functions implemented by the material manufacturing key link analysis system 200 may correspond to the steps performed by the above method.
  • the material manufacturing key link analysis system 200 can be understood as the above-mentioned server 100, or the processor of the server 100, and can also be understood as a component independent of the above-mentioned server 100 or the processor that implements the functions of the present invention under the control of the server 100, such as As shown in FIG. 3 , the functions of each functional module of the material manufacturing key link analysis system 200 will be described in detail below.
  • the control acquisition module 210 is used to control each material manufacturing monitoring equipment to collect material manufacturing monitoring video streams in each material manufacturing area, and acquire the material manufacturing monitoring video streams sent by each material manufacturing monitoring equipment, the material manufacturing monitoring video streams include material manufacturing Video frame and video tag information of the monitoring device.
  • the encryption sending module 220 is used for randomly repackaging the material manufacturing monitoring video stream sent by each material manufacturing monitoring device, and then encrypting and setting and sending it to the data analysis server for key link analysis.
  • the receiving statistics module 230 is used to receive the past frequent links and link continuation information of each material manufacturing area extracted after the data analysis server performs data decryption, and according to the extracted past frequent links and link continuation information of each material manufacturing area Count the centralized frequent links and frequent link labels of each material manufacturing area.
  • the generating and sending module 240 is configured to generate the analysis results of key links of material manufacturing reflecting each material manufacturing area according to the centralized frequent links and frequent link labels of each material manufacturing area obtained by statistics, and send it to the user terminal for display.
  • control acquisition module 210 controls each material manufacturing monitoring device to collect the material manufacturing monitoring video stream of each material manufacturing area in the following manner:
  • the environmental acquisition path collects material manufacturing surveillance video streams in each material manufacturing area.
  • the encrypted sending module 120 randomly repackages the material manufacturing monitoring video stream sent by each material manufacturing monitoring device, and then sends it to the data analysis server for key link analysis after encrypting and setting:
  • the encrypted sending module 220 sends to the data analysis server for key link analysis in the following manner:
  • the generating and sending module 240 generates the analysis result of the key link of material manufacturing reflecting each material manufacturing area and sends it to the user terminal for display in the following manner:
  • the centralized frequent links and frequent link labels of each material manufacturing area obtained by statistics, determine the collection time characteristics and frequent link label characteristics of each material manufacturing area;
  • the analysis results of the key links of material manufacturing reflecting each material manufacturing area are generated and sent to the user terminal for display.

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Abstract

一种材料制造关键环节分析方法及系统，控制各个材料制造监控设备采集各个材料制造区域的材料制造监控视频流，并获取各个材料制造监控设备发送的材料制造监控视频流（S110），将各个材料制造监控设备发送的材料制造监控视频流进行随机重打包处理后通过加密设置后发送给数据分析服务器进行关键环节分析（S120），接收数据分析服务器进行数据解密后提取到的各个材料制造区域的过往频繁环节和环节持续信息，并根据提取到的各个材料制造区域的过往频繁环节和环节持续信息统计各个材料制造区域的集中频繁环节和频繁环节标签（S130），根据统计得到的各个材料制造区域的集中频繁环节和频繁环节标签生成反映各个材料制造区域的材料制造关键环节分析结果并发送给用户终端进行显示（S140）。能够精准判断每个材料制造区域的关键环节，为后续的材料制造做出科学的决策。

Description

材料制造关键环节分析方法及系统 技术领域
本发明涉及数据管理技术领域，具体而言，涉及一种材料制造关键环节分析方法及系统。
 背景技术
近年来，若仍采用传统的人工分析方法已难以满足数据分析要求，并且无法精准判断每个材料制造区域的关键环节，从而难以为后续的材料制造做出科学的决策。
 技术问题
有鉴于此，本发明实施例的目的在于提供一种材料制造关键环节分析方法及系统，能够精准判断每个材料制造区域的关键环节，从而为后续的材料制造做出科学的决策。
 技术解决方案
根据本发明实施例的一个方面，提供一种材料制造关键环节分析方法，应用于服务器，所述方法包括：
控制各个材料制造监控设备采集各个材料制造区域的材料制造监控视频流，并获取各个材料制造监控设备发送的材料制造监控视频流，所述材料制造监控视频流包括材料制造监控设备的视频帧以及视频标签信息；
将各个材料制造监控设备发送的材料制造监控视频流进行随机重打包处理后通过加密设置后发送给数据分析服务器进行关键环节分析；
接收所述数据分析服务器进行数据解密后提取到的各个材料制造区域的过往频繁环节和环节持续信息，并根据提取到的各个材料制造区域的过往频繁环节和环节持续信息统计各个材料制造区域的集中频繁环节和频繁环节标签；
根据统计得到的各个材料制造区域的集中频繁环节和频繁环节标签生成反映各个材料制造区域的材料制造关键环节分析结果并发送给用户终端进行显示。
在一种可能的示例中，所述控制各个材料制造监控设备采集各个材料制造区域的材料制造监控视频流的步骤，包括：
获得各个材料制造区域的材料制造监控设备的位置信息和材料制造监控设备的运行状况；
根据所述各个材料制造区域的材料制造监控设备的位置信息和材料制造监控设备的控制采集节点，并推送给各个待采集的材料制造监控设备，以控制所述各个材料制造监控设备根据所接收到的环境采集路径采集各个材料制造区域的材料制造监控视频流。
在一种可能的示例中，所述将各个材料制造监控设备发送的材料制造监控视频流进行随机重打包处理后通过加密设置后发送给数据分析服务器进行关键环节分析的步骤，包括：
将各个材料制造监控设备发送的材料制造监控视频流进行随机重打包处理，得到随机重打包处理数据集；
生成随机数m；并针对所述随机重打包处理数据集中的每个字符，将该字符的ASCII值转换成指定位数的m进制数；
将分别针对每个字符转换的指定位数的m进制数进行组合，得到加密后的随机重打包处理数据集；
将所述随机数m以及所述加密后的随机重打包处理数据集发送给所述数据分析服务器进行关键环节分析。
在一种可能的示例中，所述将所述随机数m以及所述加密后的随机重打包处理数据集发送给所述数据分析服务器进行关键环节分析的步骤，包括：
根据预先与所述数据分析服务器约定的位置，将所述随机数m插入到所述加密后的随机重打包处理数据集中预先约定的位置上，并将插入了所述随机数m的加密后的随机重打包处理数据集发送给所述数据分析服务器；或者
分别对所述随机数m以及所述加密后的随机重打包处理数据集设置相同的标记，并将设置了标记的随机数m通过第一通信链路发送给所述数据分析服务器，将设置了标记的加密后的随机重打包处理数据集通过第二通信链路发送给所述数据分析服务器。
在一种可能的示例中，所述根据统计得到的各个材料制造区域的集中频繁环节和频繁环节标签生成反映各个材料制造区域的材料制造关键环节分析结果并发送给用户终端进行显示的步骤，包括：
根据统计得到的各个材料制造区域的集中频繁环节和频繁环节标签，确定每个材料制造区域的采集时间特征和频繁环节标签特征；
根据所述每个材料制造区域的采集时间特征和频繁环节标签特征生成反映各个材料制造区域的材料制造关键环节分析结果并发送给用户终端进行显示。
根据本发明实施例的另一方面，提供一种材料制造关键环节分析系统，应用于服务器，所述装置包括：
控制获取模块，用于控制各个材料制造监控设备采集各个材料制造区域的材料制造监控视频流，并获取各个材料制造监控设备发送的材料制造监控视频流，所述材料制造监控视频流包括材料制造监控设备的视频帧以及视频标签信息；
加密发送模块，用于将各个材料制造监控设备发送的材料制造监控视频流进行随机重打包处理后通过加密设置后发送给数据分析服务器进行关键环节分析；
接收统计模块，用于接收所述数据分析服务器进行数据解密后提取到的各个材料制造区域的过往频繁环节和环节持续信息，并根据提取到的各个材料制造区域的过往频繁环节和环节持续信息统计各个材料制造区域的集中频繁环节和频繁环节标签；
生成发送模块，用于根据统计得到的各个材料制造区域的集中频繁环节和频繁环节标签生成反映各个材料制造区域的材料制造关键环节分析结果并发送给用户终端进行显示。
根据本发明实施例的另一方面，提供一种可读存储介质，该可读存储介质上存储有计算机程序，该计算机程序被处理器运行时可以执行上述的材料制造关键环节分析方法的步骤。
 有益效果
相较于现有技术而言，本发明实施例提供的材料制造关键环节分析方法及系统，通过将各个材料制造监控设备发送的材料制造监控视频流进行随机重打包处理后通过加密设置后发送给数据分析服务器进行关键环节分析，接着接收数据分析服务器进行数据解密后提取到的各个材料制造区域的过往频繁环节和环节持续信息，并根据提取到的各个材料制造区域的过往频繁环节和环节持续信息统计各个材料制造区域的集中频繁环节和频繁环节标签，最后根据统计得到的各个材料制造区域的集中频繁环节和频繁环节标签生成反映各个材料制造区域的材料制造关键环节分析结果并发送给用户终端进行显示。如此，能够精准判断每个材料制造区域的关键环节，从而为后续的材料制造做出科学的决策。
 附图说明
图1示出了本发明实施例所提供的服务器的组件示意图；
图2示出了本发明实施例所提供的材料制造关键环节分析方法的流程示意图；
图3示出了本发明实施例所提供的材料制造关键环节分析系统的功能模块框图。
 本发明的实施方式
图1示出了服务器100的示例性组件示意图。服务器100可以包括一个或多个处理器104，诸如一个或多个中央处理单元(CPU)，每个处理单元可以实现一个或多个硬件线程。服务器100还可以包括任何存储介质106，其用于存储诸如代码、设置、数据等之类的任何种类的信息。非限制性的，比如，存储介质106可以包括以下任一项或多种组合：任何类型的RAM，任何类型的ROM，闪存设备，硬盘，光盘等。更一般地，任何存储介质都可以使用任何技术来存储信息。进一步地，任何存储介质可以提供信息的易失性或非易失性保留。进一步地，任何存储介质可以表示服务器100的固定或可移除部件。在一种情况下，当处理器104执行被存储在任何存储介质或存储介质的组合中的相关联的指令时，服务器100可以执行相关联指令的任一操作。服务器100还包括用于与任何存储介质交互的一个或多个驱动单元108，诸如硬盘驱动单元、光盘驱动单元等。
服务器100还包括输入/输出110（I/O），其用于接收各种输入(经由输入单元112)和用于提供各种输出(经由输出单元114))。一个具体输出机构可以包括呈现设备116和相关联的图形用户接口(GUI)118。服务器100还可以包括一个或多个网络接口120，其用于经由一个或多个通信单元122与其他设备交换数据。一个或多个通信总线124将上文所描述的部件耦合在一起。
通信单元122可以以任何方式实现，例如，通过局域网、广域网(例如，因特网)、点对点连接等、或其任何组合。通信单元122可以包括由任何协议或协议组合支配的硬连线链路、无线链路、路由器、网关功能、名称服务器100等的任何组合。
其中，所述服务器100与第一进销存终端和第二进销存终端通信连接，并存储有各个进销存分组的管理账号，以及每个管理账号对应的进销存数据库。
图2示出了本发明实施例提供的材料制造关键环节分析方法的流程示意图，该材料制造关键环节分析方法可由图1中所示的服务器100执行，该材料制造关键环节分析方法的详细步骤介绍如下。
步骤S110，控制各个材料制造监控设备采集各个材料制造区域的材料制造监控视频流，并获取各个材料制造监控设备发送的材料制造监控视频流，所述材料制造监控视频流包括材料制造监控设备的视频帧以及视频标签信息。
步骤S120，将各个材料制造监控设备发送的材料制造监控视频流进行随机重打包处理后通过加密设置后发送给数据分析服务器进行关键环节分析。
步骤S130，接收所述数据分析服务器进行数据解密后提取到的各个材料制造区域的过往频繁环节和环节持续信息，并根据提取到的各个材料制造区域的过往频繁环节和环节持续信息统计各个材料制造区域的集中频繁环节和频繁环节标签。
步骤S140，根据统计得到的各个材料制造区域的集中频繁环节和频繁环节标签生成反映各个材料制造区域的材料制造关键环节分析结果并发送给用户终端进行显示。
基于上述设计，本实施例通过将各个材料制造监控设备发送的材料制造监控视频流进行随机重打包处理后通过加密设置后发送给数据分析服务器进行关键环节分析，接着接收数据分析服务器进行数据解密后提取到的各个材料制造区域的过往频繁环节和环节持续信息，并根据提取到的各个材料制造区域的过往频繁环节和环节持续信息统计各个材料制造区域的集中频繁环节和频繁环节标签，最后根据统计得到的各个材料制造区域的集中频繁环节和频繁环节标签生成反映各个材料制造区域的材料制造关键环节分析结果并发送给用户终端进行显示。如此，能够精准判断每个材料制造区域的关键环节，从而为后续的材料制造做出科学的决策。
可选地，针对步骤S110，可以获得各个材料制造区域的材料制造监控设备的位置信息和材料制造监控设备的运行状况，然后根据所述各个材料制造区域的材料制造监控设备的位置信息和材料制造监控设备的控制采集节点，并推送给各个待采集的材料制造监控设备，以控制所述各个材料制造监控设备根据所接收到的环境采集路径采集各个材料制造区域的材料制造监控视频流。
可选地，针对步骤S120，可以将各个材料制造监控设备发送的材料制造监控视频流进行随机重打包处理，得到随机重打包处理数据集，然后生成随机数m，并针对所述随机重打包处理数据集中的每个字符，将该字符的ASCII值转换成指定位数的m进制数，而后将分别针对每个字符转换的指定位数的m进制数进行组合，得到加密后的随机重打包处理数据集，最后将所述随机数m以及所述加密后的随机重打包处理数据集发送给所述数据分析服务器进行关键环节分析。
例如在一种可能的示例中，可以根据预先与所述数据分析服务器约定的位置，将所述随机数m插入到所述加密后的随机重打包处理数据集中预先约定的位置上，并将插入了所述随机数m的加密后的随机重打包处理数据集发送给所述数据分析服务器。
又例如在另一种可能的示例中，还可以分别对所述随机数m以及所述加密后的随机重打包处理数据集设置相同的标记，并将设置了标记的随机数m通过第一通信链路发送给所述数据分析服务器，将设置了标记的加密后的随机重打包处理数据集通过第二通信链路发送给所述数据分析服务器。
可选地，针对步骤S140，可以根据统计得到的各个材料制造区域的集中频繁环节和频繁环节标签，确定每个材料制造区域的采集时间特征和频繁环节标签特征，然后根据所述每个材料制造区域的采集时间特征和频繁环节标签特征生成反映各个材料制造区域的材料制造关键环节分析结果并发送给用户终端进行显示。
图3示出了本发明实施例提供的材料制造关键环节分析系统200的功能模块图，该材料制造关键环节分析系统200实现的功能可以对应上述方法执行的步骤。该材料制造关键环节分析系统200可以理解为上述服务器100，或服务器100的处理器，也可以理解为独立于上述服务器100或处理器之外的在服务器100控制下实现本发明功能的组件，如图3所示，下面分别对该材料制造关键环节分析系统200的各个功能模块的功能进行详细阐述。
控制获取模块210，用于控制各个材料制造监控设备采集各个材料制造区域的材料制造监控视频流，并获取各个材料制造监控设备发送的材料制造监控视频流，所述材料制造监控视频流包括材料制造监控设备的视频帧以及视频标签信息。
加密发送模块220，用于将各个材料制造监控设备发送的材料制造监控视频流进行随机重打包处理后通过加密设置后发送给数据分析服务器进行关键环节分析。
接收统计模块230，用于接收所述数据分析服务器进行数据解密后提取到的各个材料制造区域的过往频繁环节和环节持续信息，并根据提取到的各个材料制造区域的过往频繁环节和环节持续信息统计各个材料制造区域的集中频繁环节和频繁环节标签。
生成发送模块240，用于根据统计得到的各个材料制造区域的集中频繁环节和频繁环节标签生成反映各个材料制造区域的材料制造关键环节分析结果并发送给用户终端进行显示。
可选地，所述控制获取模块210通过以下方式控制各个材料制造监控设备采集各个材料制造区域的材料制造监控视频流：
获得各个材料制造区域的材料制造监控设备的位置信息和材料制造监控设备的运行状况；
根据所述各个材料制造区域的材料制造监控设备的位置信息和材料制造监控设备的控制采集节点，并推送给各个待采集的材料制造监控设备，以控制所述各个材料制造监控设备根据所接收到的环境采集路径采集各个材料制造区域的材料制造监控视频流。
可选地，所述加密发送模块120通过以下方式将各个材料制造监控设备发送的材料制造监控视频流进行随机重打包处理后通过加密设置后发送给数据分析服务器进行关键环节分析：
将各个材料制造监控设备发送的材料制造监控视频流进行随机重打包处理，得到随机重打包处理数据集；
生成随机数m；并针对所述随机重打包处理数据集中的每个字符，将该字符的ASCII值转换成指定位数的m进制数；
将分别针对每个字符转换的指定位数的m进制数进行组合，得到加密后的随机重打包处理数据集；
将所述随机数m以及所述加密后的随机重打包处理数据集发送给所述数据分析服务器进行关键环节分析。
可选地，所述加密发送模块220通过以下方式发送给所述数据分析服务器进行关键环节分析：
根据预先与所述数据分析服务器约定的位置，将所述随机数m插入到所述加密后的随机重打包处理数据集中预先约定的位置上，并将插入了所述随机数m的加密后的随机重打包处理数据集发送给所述数据分析服务器；或者
分别对所述随机数m以及所述加密后的随机重打包处理数据集设置相同的标记，并将设置了标记的随机数m通过第一通信链路发送给所述数据分析服务器，将设置了标记的加密后的随机重打包处理数据集通过第二通信链路发送给所述数据分析服务器。
可选地，所述生成发送模块240通过以下方式生成反映各个材料制造区域的材料制造关键环节分析结果并发送给用户终端进行显示：
根据统计得到的各个材料制造区域的集中频繁环节和频繁环节标签，确定每个材料制造区域的采集时间特征和频繁环节标签特征；
根据所述每个材料制造区域的采集时间特征和频繁环节标签特征生成反映各个材料制造区域的材料制造关键环节分析结果并发送给用户终端进行显示。
所属领域的技术人员可以清楚地了解到，为描述的方便和简洁，上述描述的系统，装置和单元的具体工作过程，可以参考前述方法实施例中的对应过程，在此不再赘述。

Claims (10)

  1. 一种材料制造关键环节分析方法，其特征在于，应用于服务器，所述方法包括：
    控制各个材料制造监控设备采集各个材料制造区域的材料制造监控视频流，并获取各个材料制造监控设备发送的材料制造监控视频流，所述材料制造监控视频流包括材料制造监控设备的视频帧以及视频标签信息；
    将各个材料制造监控设备发送的材料制造监控视频流进行随机重打包处理后通过加密设置后发送给数据分析服务器进行关键环节分析；
    接收所述数据分析服务器进行数据解密后提取到的各个材料制造区域的过往频繁环节和环节持续信息，并根据提取到的各个材料制造区域的过往频繁环节和环节持续信息统计各个材料制造区域的集中频繁环节和频繁环节标签；
    根据统计得到的各个材料制造区域的集中频繁环节和频繁环节标签生成反映各个材料制造区域的材料制造关键环节分析结果并发送给用户终端进行显示。
  2. 根据权利要求1所述的材料制造关键环节分析方法，其特征在于，所述控制各个材料制造监控设备采集各个材料制造区域的材料制造监控视频流的步骤，包括：
    获得各个材料制造区域的材料制造监控设备的位置信息和材料制造监控设备的运行状况；
    根据所述各个材料制造区域的材料制造监控设备的位置信息和材料制造监控设备的控制采集节点，并推送给各个待采集的材料制造监控设备，以控制所述各个材料制造监控设备根据所接收到的环境采集路径采集各个材料制造区域的材料制造监控视频流。
  3. 根据权利要求1所述的材料制造关键环节分析方法，其特征在于，所述将各个材料制造监控设备发送的材料制造监控视频流进行随机重打包处理后通过加密设置后发送给数据分析服务器进行关键环节分析的步骤，包括：
    将各个材料制造监控设备发送的材料制造监控视频流进行随机重打包处理，得到随机重打包处理数据集；
    对所述随机重打包处理数据集进行加密后获得加密后的随机重打包处理数据集，并发送给所述数据分析服务器进行关键环节分析。
  4. 根据权利要求3所述的材料制造关键环节分析方法，其特征在于，所述对所述随机重打包处理数据集进行加密后获得加密后的随机重打包处理数据集，并发送给所述数据分析服务器进行关键环节分析的步骤，包括：
    根据预先与所述数据分析服务器约定的位置，将所述随机数m插入到所述加密后的随机重打包处理数据集中预先约定的位置上，并将插入了所述随机数m的加密后的随机重打包处理数据集发送给所述数据分析服务器；或者
    分别对所述随机数m以及所述加密后的随机重打包处理数据集设置相同的标记，并将设置了标记的随机数m通过第一通信链路发送给所述数据分析服务器，将设置了标记的加密后的随机重打包处理数据集通过第二通信链路发送给所述数据分析服务器。
  5. 根据权利要求1-4中任意一项所述的材料制造关键环节分析方法，其特征在于，所述根据统计得到的各个材料制造区域的集中频繁环节和频繁环节标签生成反映各个材料制造区域的材料制造关键环节分析结果并发送给用户终端进行显示的步骤，包括：
    根据统计得到的各个材料制造区域的集中频繁环节和频繁环节标签，确定每个材料制造区域的采集时间特征和频繁环节标签特征；
    根据所述每个材料制造区域的采集时间特征和频繁环节标签特征生成反映各个材料制造区域的材料制造关键环节分析结果并发送给用户终端进行显示。
  6. 一种材料制造关键环节分析系统，其特征在于，应用于服务器，所述装置包括：
    控制获取模块，用于控制各个材料制造监控设备采集各个材料制造区域的材料制造监控视频流，并获取各个材料制造监控设备发送的材料制造监控视频流，所述材料制造监控视频流包括材料制造监控设备的视频帧以及视频标签信息；
    加密发送模块，用于将各个材料制造监控设备发送的材料制造监控视频流进行随机重打包处理后通过加密设置后发送给数据分析服务器进行关键环节分析；
    接收统计模块，用于接收所述数据分析服务器进行数据解密后提取到的各个材料制造区域的过往频繁环节和环节持续信息，并根据提取到的各个材料制造区域的过往频繁环节和环节持续信息统计各个材料制造区域的集中频繁环节和频繁环节标签；
    生成发送模块，用于根据统计得到的各个材料制造区域的集中频繁环节和频繁环节标签生成反映各个材料制造区域的材料制造关键环节分析结果并发送给用户终端进行显示。
  7. 根据权利要求6所述的材料制造关键环节分析系统，其特征在于，所述控制获取模块通过以下方式控制各个材料制造监控设备采集各个材料制造区域的材料制造监控视频流：
    获得各个材料制造区域的材料制造监控设备的位置信息和材料制造监控设备的运行状况；
    根据所述各个材料制造区域的材料制造监控设备的位置信息和材料制造监控设备的控制采集节点，并推送给各个待采集的材料制造监控设备，以控制所述各个材料制造监控设备根据所接收到的环境采集路径采集各个材料制造区域的材料制造监控视频流。
  8. 根据权利要求6所述的材料制造关键环节分析系统，其特征在于，所述加密发送模块通过以下方式将各个材料制造监控设备发送的材料制造监控视频流进行随机重打包处理后通过加密设置后发送给数据分析服务器进行关键环节分析：
    将各个材料制造监控设备发送的材料制造监控视频流进行随机重打包处理，得到随机重打包处理数据集；
    对所述随机重打包处理数据集进行加密后获得加密后的随机重打包处理数据集，并发送给所述数据分析服务器进行关键环节分析。
  9. 根据权利要求8所述的材料制造关键环节分析系统，其特征在于，所述加密发送模块通过以下方式发送给所述数据分析服务器进行关键环节分析：
    根据预先与所述数据分析服务器约定的位置，将所述随机数m插入到所述加密后的随机重打包处理数据集中预先约定的位置上，并将插入了所述随机数m的加密后的随机重打包处理数据集发送给所述数据分析服务器；或者
    分别对所述随机数m以及所述加密后的随机重打包处理数据集设置相同的标记，并将设置了标记的随机数m通过第一通信链路发送给所述数据分析服务器，将设置了标记的加密后的随机重打包处理数据集通过第二通信链路发送给所述数据分析服务器。
  10. 根据权利要求6-9中任意一项所述的材料制造关键环节分析系统，其特征在于，所述生成发送模块通过以下方式生成反映各个材料制造区域的材料制造关键环节分析结果并发送给用户终端进行显示：
    根据统计得到的各个材料制造区域的集中频繁环节和频繁环节标签，确定每个材料制造区域的采集时间特征和频繁环节标签特征；
    根据所述每个材料制造区域的采集时间特征和频繁环节标签特征生成反映各个材料制造区域的材料制造关键环节分析结果并发送给用户终端进行显示。
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