CN112256757A - Method and system for analyzing key links of material manufacturing - Google Patents
Method and system for analyzing key links of material manufacturing Download PDFInfo
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Abstract
The embodiment of the invention provides a material manufacturing key link analysis method and a material manufacturing key link analysis system, wherein material manufacturing monitoring video streams sent by each material manufacturing monitoring device are subjected to random repacking processing, then are sent to a data analysis server for key link analysis after being subjected to encryption setting, then are received past frequent links and link continuous information of each material manufacturing area, which are extracted after data decryption is carried out by the data analysis server, are counted according to the extracted past frequent links and link continuous information of each material manufacturing area, and finally are generated to reflect material manufacturing key link analysis results of each material manufacturing area according to the counted concentrated frequent links and frequent link continuous information of each material manufacturing area and are sent to a user terminal for display. Therefore, the key link of each material manufacturing area can be accurately judged, and scientific decision can be made for subsequent material manufacturing.
Description
Technical Field
The invention relates to the technical field of data management, in particular to a method and a system for analyzing key links of material manufacturing.
Background
In recent years, if a traditional manual analysis method is still adopted, the data analysis requirements are difficult to meet, and the key links of each material manufacturing area cannot be accurately judged, so that scientific decisions are difficult to make for subsequent material manufacturing.
Disclosure of Invention
In view of this, an object of the embodiments of the present invention is to provide a method and a system for analyzing key links of material manufacturing, which can accurately determine the key links of each material manufacturing area, so as to make scientific decisions for subsequent material manufacturing.
According to an aspect of an embodiment of the present invention, there is provided a material manufacturing key link analysis method applied to a server, the method including:
controlling each material manufacturing monitoring device to collect material manufacturing monitoring video streams of each material manufacturing area and obtain the material manufacturing monitoring video streams sent by each material manufacturing monitoring device, wherein the material manufacturing monitoring video streams comprise video frames and video label information of the material manufacturing monitoring devices;
randomly repacking the material manufacturing monitoring video streams sent by each material manufacturing monitoring device, setting the repacked material manufacturing monitoring video streams through encryption, and sending the repacked material manufacturing monitoring video streams to a data analysis server for key link analysis;
receiving past frequent links and link continuous information of each material manufacturing area, which are extracted after the data analysis server carries out data decryption, and counting concentrated frequent links and frequent link labels of each material manufacturing area according to the extracted past frequent links and link continuous information of each material manufacturing area;
and generating a material manufacturing key link analysis result reflecting each material manufacturing area according to the concentrated frequent links and the frequent link labels of each material manufacturing area obtained by statistics, and sending the material manufacturing key link analysis result to the user terminal for displaying.
In one possible example, the step of controlling each material manufacturing monitoring device to collect material manufacturing monitoring video streams of each material manufacturing area includes:
obtaining position information of the material manufacturing monitoring equipment of each material manufacturing area and the operation condition of the material manufacturing monitoring equipment;
and pushing the position information of the material manufacturing monitoring equipment and the control acquisition node of the material manufacturing monitoring equipment to each material manufacturing area to be acquired so as to control each material manufacturing monitoring equipment to acquire the material manufacturing monitoring video stream of each material manufacturing area according to the received environment acquisition path.
In a possible example, the step of randomly repackaging the material manufacturing monitoring video streams sent by the material manufacturing monitoring devices, then sending the repackaged material manufacturing monitoring video streams to the data analysis server for key link analysis after encryption setting includes:
randomly repacking the material manufacturing monitoring video streams sent by the material manufacturing monitoring equipment to obtain a random repacking processing data set;
generating a random number m; and for each character in the random repacking processing data set, converting the ASCII value of the character into an m-system number with a specified number of digits;
combining the m-system numbers of the designated digits converted respectively for each character to obtain an encrypted random repackaging processing data set;
and sending the random number m and the encrypted random repackaging processing data set to the data analysis server for key link analysis.
In a possible example, the step of sending the random number m and the encrypted random repackaging processing data set to the data analysis server for performing the key link analysis includes:
inserting the random number m into a predetermined position in the encrypted random repackaging processing data set according to a position predetermined with the data analysis server in advance, and transmitting the encrypted random repackaging processing data set into which the random number m is inserted to the data analysis server; or
And respectively setting the same marks for the random number m and the encrypted random repackaging processing data set, sending the random number m with the set marks to the data analysis server through a first communication link, and sending the encrypted random repackaging processing data set with the set marks to the data analysis server through a second communication link.
In a possible example, the step of generating a material manufacturing key link analysis result reflecting each material manufacturing area according to the counted concentrated frequent links and frequent link labels of each material manufacturing area and sending the material manufacturing key link analysis result to the user terminal for displaying includes:
determining the acquisition time characteristics and the frequency link label characteristics of each material manufacturing area according to the concentrated frequency link and frequency link labels of each material manufacturing area obtained through statistics;
and generating a material manufacturing key link analysis result reflecting each material manufacturing area according to the acquisition time characteristic and the frequent link label characteristic of each material manufacturing area, and sending the material manufacturing key link analysis result to a user terminal for displaying.
According to another aspect of the embodiments of the present invention, there is provided a material manufacturing key link analysis system applied to a server, the apparatus including:
the control acquisition module is used for controlling each material manufacturing monitoring device to acquire material manufacturing monitoring video streams of each material manufacturing area and acquiring the material manufacturing monitoring video streams sent by each material manufacturing monitoring device, wherein the material manufacturing monitoring video streams comprise video frames and video label information of the material manufacturing monitoring devices;
the encryption sending module is used for randomly repacking the material manufacturing monitoring video streams sent by the material manufacturing monitoring equipment, setting the encryption, and sending the video streams to the data analysis server for key link analysis;
the receiving and counting module is used for receiving past frequent links and link continuous information of each material manufacturing area extracted after the data analysis server carries out data decryption, and counting concentrated frequent links and frequent link labels of each material manufacturing area according to the extracted past frequent links and link continuous information of each material manufacturing area;
and the generation and sending module is used for generating a material manufacturing key link analysis result reflecting each material manufacturing area according to the concentrated frequent links and the frequent link labels of each material manufacturing area obtained by statistics and sending the material manufacturing key link analysis result to the user terminal for displaying.
According to another aspect of the embodiments of the present invention, a readable storage medium is provided, and the readable storage medium stores a computer program, and the computer program is executed by a processor to perform the steps of the material manufacturing key element analysis method.
Compared with the prior art, the method and the system for analyzing the key links of material manufacturing provided by the embodiment of the invention, the material manufacturing monitoring video streams sent by each material manufacturing monitoring device are randomly repackaged, then are sent to a data analysis server for key link analysis after being encrypted, then receiving the past frequent links and link continuous information of each material manufacturing area extracted after the data analysis server carries out data decryption, and according to the extracted past frequent links and link continuous information of each material manufacturing area, counting the concentrated frequent links and frequent link labels of each material manufacturing area, and finally, according to the concentrated frequent links and frequent link labels of each material manufacturing area, generating a material manufacturing key link analysis result reflecting each material manufacturing area and sending the material manufacturing key link analysis result to a user terminal for displaying. Therefore, the key link of each material manufacturing area can be accurately judged, and scientific decision can be made for subsequent material manufacturing.
In order to make the aforementioned objects, features and advantages of the embodiments of the present invention comprehensible, embodiments accompanied with figures are described in detail below.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained according to the drawings without inventive efforts.
FIG. 1 illustrates a component diagram of a server provided by an embodiment of the invention;
FIG. 2 is a flow chart illustrating a method for analyzing key elements of manufacturing materials according to an embodiment of the present invention;
fig. 3 is a functional block diagram of a material manufacturing key element analysis system according to an embodiment of the present invention.
Detailed Description
In order to make the technical solutions of the present invention better understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The terms "first," "second," "third," and the like in the description and in the claims, as well as in the drawings, if any, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are, for example, capable of operation in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Fig. 1 shows an exemplary component schematic of a server 100. The 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 media 106 for storing any kind of information, such as code, settings, data, etc. For example, and without limitation, storage medium 106 may include any one or more of the following in combination: any type of RAM, any type of ROM, flash memory devices, hard disks, optical disks, etc. More generally, any storage medium may 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. In one case, when the processor 104 executes the associated instructions stored in any storage medium or combination of storage media, the server 100 may perform any of the operations of the associated instructions. The server 100 further comprises one or more drive units 108 for interacting with any storage medium, such as a hard disk drive unit, an optical disk drive unit, etc.
The 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)). One particular output mechanism may include a presentation device 116 and an associated Graphical User Interface (GUI) 118. The 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 the above-described components together.
The communication unit 122 may be implemented in any manner, such as over a local area network, a wide area network (e.g., the internet), a point-to-point connection, etc., or any combination thereof. The communication unit 122 may include any combination of hardwired links, wireless links, routers, gateway functions, name servers 100, and so forth, governed by any protocol or combination of protocols.
The server 100 is in communication connection with the first purchase, sale and storage terminal and the second purchase, sale and storage terminal, and stores management accounts of each purchase, sale and storage group and a purchase, sale and storage database corresponding to each management account.
Fig. 2 is a schematic flow chart of a method for analyzing manufacturing key elements of a material, which can be executed by the server 100 shown in fig. 1, according to an embodiment of the present invention, and the detailed steps of the method for analyzing manufacturing key elements of a material are described as follows.
Step S110, controlling each material manufacturing monitoring device to acquire a material manufacturing monitoring video stream of each material manufacturing area, and acquiring a material manufacturing monitoring video stream sent by each material manufacturing monitoring device, where the material manufacturing monitoring video stream includes a video frame and video tag information of the material manufacturing monitoring device.
And step S120, randomly repacking the material manufacturing monitoring video streams sent by the material manufacturing monitoring devices, setting the repacked material manufacturing monitoring video streams through encryption, and sending the repacked material manufacturing monitoring video streams to a data analysis server for key link analysis.
Step S130, receiving the past frequent links and link duration information of each material manufacturing area extracted after the data analysis server decrypts the data, and counting the concentrated frequent links and frequent link labels of each material manufacturing area according to the extracted past frequent links and link duration information of each material manufacturing area.
And step S140, generating a material manufacturing key link analysis result reflecting each material manufacturing area according to the concentrated frequent links and the frequent link labels of each material manufacturing area obtained by statistics, and sending the analysis result to the user terminal for displaying.
Based on the design, in the embodiment, the material manufacturing monitoring video streams sent by each material manufacturing monitoring device are randomly repackaged, then are sent to the data analysis server for key link analysis after being encrypted, then the past frequent links and link duration information of each material manufacturing area extracted after the data analysis server decrypts the data is received, the concentrated frequent links and frequent link labels of each material manufacturing area are counted according to the extracted past frequent links and link duration information of each material manufacturing area, and finally, the material manufacturing key link analysis results reflecting each material manufacturing area are generated according to the concentrated frequent links and frequent link labels of each material manufacturing area obtained through counting and are sent to the user terminal for display. Therefore, the key link of each material manufacturing area can be accurately judged, and scientific decision can be made for subsequent material manufacturing.
Optionally, for step S110, the position information of the material manufacturing monitoring device and the operation condition of the material manufacturing monitoring device in each material manufacturing area may be obtained, and then the position information of the material manufacturing monitoring device in each material manufacturing area and the control collection node of the material manufacturing monitoring device are obtained and pushed to each material manufacturing monitoring device to be collected, so as to control each material manufacturing monitoring device to collect the material manufacturing monitoring video stream of each material manufacturing area according to the received environment collection path.
Optionally, in step S120, the material manufacturing monitoring video stream sent by each material manufacturing monitoring device may be randomly repackaged to obtain a randomly repackaged data set, then a random number m is generated, and for each character in the randomly repackaged data set, the ASCII value of the character is converted into an m-ary number with a specified number of bits, then the m-ary numbers with the specified number of bits converted for each character are combined to obtain an encrypted randomly repackaged data set, and finally, the random number m and the encrypted randomly repackaged data set are sent to the data analysis server for performing the key link analysis.
For example, in one possible example, the random number m may be inserted into a predetermined position in the encrypted random repackaging processing data set according to a position predetermined with the data analysis server in advance, and the encrypted random repackaging processing data set into which the random number m is inserted may be sent to the data analysis server.
For another example, in another possible example, the same flag may be set for the random number m and the encrypted random repackaging processing data set, and the random number m with the flag set may be sent to the data analysis server through a first communication link, and the encrypted random repackaging processing data set with the flag set may be sent to the data analysis server through a second communication link.
Optionally, in step S140, the collection time characteristic and the frequent link label characteristic of each material manufacturing area may be determined according to the counted concentrated frequent links and frequent link labels of each material manufacturing area, and then the material manufacturing key link analysis result reflecting each material manufacturing area is generated according to the collection time characteristic and the frequent link label characteristic of each material manufacturing area and sent to the user terminal for displaying.
Fig. 3 is a functional block diagram of a material manufacturing critical link analysis system 200 according to an embodiment of the present invention, where the functions implemented by the material manufacturing critical link analysis system 200 may correspond to the steps executed by the method. The material manufacturing critical link analysis system 200 may be understood as the server 100, or a processor of the server 100, or may be understood as a component that is independent from the server 100 or the processor and implements the functions of the present invention under the control of the server 100, as shown in fig. 3, and the functions of the functional modules of the material manufacturing critical link analysis system 200 are described in detail below.
The control obtaining module 210 is configured to control each material manufacturing monitoring device to collect a material manufacturing monitoring video stream of each material manufacturing area, and obtain a material manufacturing monitoring video stream sent by each material manufacturing monitoring device, where the material manufacturing monitoring video stream includes a video frame and video tag information of the material manufacturing monitoring device.
The encryption sending module 220 is configured to randomly repackage the material manufacturing monitoring video streams sent by the material manufacturing monitoring devices, and send the repackaged material manufacturing monitoring video streams to the data analysis server for key link analysis after encryption setting.
And a receiving and counting module 230, configured to receive the past frequent links and link duration information of each material manufacturing area extracted after the data analysis server decrypts the data, and count the concentrated frequent links and frequent link tags of each material manufacturing area according to the extracted past frequent links and link duration information of each material manufacturing area.
And a generating and sending module 240, configured to generate a material manufacturing key link analysis result reflecting each material manufacturing area according to the counted frequent links and frequent link labels of each material manufacturing area, and send the material manufacturing key link analysis result to the user terminal for display.
Optionally, the control acquiring module 210 controls each material manufacturing monitoring apparatus to acquire the material manufacturing monitoring video stream of each material manufacturing area by:
obtaining position information of the material manufacturing monitoring equipment of each material manufacturing area and the operation condition of the material manufacturing monitoring equipment;
and pushing the position information of the material manufacturing monitoring equipment and the control acquisition node of the material manufacturing monitoring equipment to each material manufacturing area to be acquired so as to control each material manufacturing monitoring equipment to acquire the material manufacturing monitoring video stream of each material manufacturing area according to the received environment acquisition path.
Optionally, the encryption sending module 120 randomly repacks the material manufacturing monitoring video streams sent by the material manufacturing monitoring devices, and sends the repacked material manufacturing monitoring video streams to the data analysis server for key link analysis after the encryption setting:
randomly repacking the material manufacturing monitoring video streams sent by the material manufacturing monitoring equipment to obtain a random repacking processing data set;
generating a random number m; and for each character in the random repacking processing data set, converting the ASCII value of the character into an m-system number with a specified number of digits;
combining the m-system numbers of the designated digits converted respectively for each character to obtain an encrypted random repackaging processing data set;
and sending the random number m and the encrypted random repackaging processing data set to the data analysis server for key link analysis.
Optionally, the encryption sending module 220 sends the key link analysis to the data analysis server in the following manner:
inserting the random number m into a predetermined position in the encrypted random repackaging processing data set according to a position predetermined with the data analysis server in advance, and transmitting the encrypted random repackaging processing data set into which the random number m is inserted to the data analysis server; or
And respectively setting the same marks for the random number m and the encrypted random repackaging processing data set, sending the random number m with the set marks to the data analysis server through a first communication link, and sending the encrypted random repackaging processing data set with the set marks to the data analysis server through a second communication link.
Optionally, the generating and sending module 240 generates and sends the material manufacturing key link analysis result reflecting each material manufacturing area to the user terminal for displaying by the following method:
determining the acquisition time characteristics and the frequency link label characteristics of each material manufacturing area according to the concentrated frequency link and frequency link labels of each material manufacturing area obtained through statistics;
and generating a material manufacturing key link analysis result reflecting each material manufacturing area according to the acquisition time characteristic and the frequent link label characteristic of each material manufacturing area, and sending the material manufacturing key link analysis result to a user terminal for displaying.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the embodiments provided in the present invention, it should be understood that the disclosed apparatus and method can be implemented in other ways. The apparatus and method embodiments described above are illustrative only, as the flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
In addition, the functional modules in the embodiments of the present invention may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.
Alternatively, all or part of the implementation may be in software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When loaded and executed on a computer, cause the processes or functions described in accordance with the embodiments of the invention to occur, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored in a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, from one website site, computer, server, or data center to another website site, computer, server, or data center via wired (e.g., coaxial cable, fiber optic, Digital Subscriber Line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device, such as a server, a data center, etc., that incorporates one or more of the available media. The usable medium may be a magnetic medium (e.g., floppy Disk, hard Disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., Solid State Disk (SSD)), among others.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
Claims (10)
1. A material manufacturing key link analysis method is applied to a server, and the method comprises the following steps:
controlling each material manufacturing monitoring device to collect material manufacturing monitoring video streams of each material manufacturing area and obtain the material manufacturing monitoring video streams sent by each material manufacturing monitoring device, wherein the material manufacturing monitoring video streams comprise video frames and video label information of the material manufacturing monitoring devices;
randomly repacking the material manufacturing monitoring video streams sent by each material manufacturing monitoring device, setting the repacked material manufacturing monitoring video streams through encryption, and sending the repacked material manufacturing monitoring video streams to a data analysis server for key link analysis;
receiving past frequent links and link continuous information of each material manufacturing area, which are extracted after the data analysis server carries out data decryption, and counting concentrated frequent links and frequent link labels of each material manufacturing area according to the extracted past frequent links and link continuous information of each material manufacturing area;
and generating a material manufacturing key link analysis result reflecting each material manufacturing area according to the concentrated frequent links and the frequent link labels of each material manufacturing area obtained by statistics, and sending the material manufacturing key link analysis result to the user terminal for displaying.
2. The material manufacturing key link analysis method according to claim 1, wherein the step of controlling each material manufacturing monitoring apparatus to collect the material manufacturing monitoring video stream of each material manufacturing area comprises:
obtaining position information of the material manufacturing monitoring equipment of each material manufacturing area and the operation condition of the material manufacturing monitoring equipment;
and pushing the position information of the material manufacturing monitoring equipment and the control acquisition node of the material manufacturing monitoring equipment to each material manufacturing area to be acquired so as to control each material manufacturing monitoring equipment to acquire the material manufacturing monitoring video stream of each material manufacturing area according to the received environment acquisition path.
3. The material manufacturing key link analysis method according to claim 1, wherein the step of randomly repackaging the material manufacturing monitoring video streams sent by the material manufacturing monitoring devices, setting the encryption of the repackaged material manufacturing monitoring video streams, and sending the repackaged material manufacturing monitoring video streams to the data analysis server for key link analysis comprises:
randomly repacking the material manufacturing monitoring video streams sent by the material manufacturing monitoring equipment to obtain a random repacking processing data set;
and encrypting the random repackaging processing data set to obtain an encrypted random repackaging processing data set, and sending the encrypted random repackaging processing data set to the data analysis server for key link analysis.
4. The material manufacturing key element analysis method according to claim 3, wherein the step of encrypting the random repackaging processing data set to obtain an encrypted random repackaging processing data set and sending the encrypted random repackaging processing data set to the data analysis server for key element analysis comprises:
inserting the random number m into a predetermined position in the encrypted random repackaging processing data set according to a position predetermined with the data analysis server in advance, and transmitting the encrypted random repackaging processing data set into which the random number m is inserted to the data analysis server; or
And respectively setting the same marks for the random number m and the encrypted random repackaging processing data set, sending the random number m with the set marks to the data analysis server through a first communication link, and sending the encrypted random repackaging processing data set with the set marks to the data analysis server through a second communication link.
5. The material manufacturing key link analysis method according to any one of claims 1 to 4, wherein the step of generating a material manufacturing key link analysis result reflecting each material manufacturing area according to the concentrated frequent links and the frequent link labels of each material manufacturing area obtained by statistics and sending the material manufacturing key link analysis result to the user terminal for display includes:
determining the acquisition time characteristics and the frequency link label characteristics of each material manufacturing area according to the concentrated frequency link and frequency link labels of each material manufacturing area obtained through statistics;
and generating a material manufacturing key link analysis result reflecting each material manufacturing area according to the acquisition time characteristic and the frequent link label characteristic of each material manufacturing area, and sending the material manufacturing key link analysis result to a user terminal for displaying.
6. A material manufacturing key segment analysis system applied to a server, the apparatus comprising:
the control acquisition module is used for controlling each material manufacturing monitoring device to acquire material manufacturing monitoring video streams of each material manufacturing area and acquiring the material manufacturing monitoring video streams sent by each material manufacturing monitoring device, wherein the material manufacturing monitoring video streams comprise video frames and video label information of the material manufacturing monitoring devices;
the encryption sending module is used for randomly repacking the material manufacturing monitoring video streams sent by the material manufacturing monitoring equipment, setting the encryption, and sending the video streams to the data analysis server for key link analysis;
the receiving and counting module is used for receiving past frequent links and link continuous information of each material manufacturing area extracted after the data analysis server carries out data decryption, and counting concentrated frequent links and frequent link labels of each material manufacturing area according to the extracted past frequent links and link continuous information of each material manufacturing area;
and the generation and sending module is used for generating a material manufacturing key link analysis result reflecting each material manufacturing area according to the concentrated frequent links and the frequent link labels of each material manufacturing area obtained by statistics and sending the material manufacturing key link analysis result to the user terminal for displaying.
7. The material manufacturing key link analysis system according to claim 6, wherein the control acquisition module controls each material manufacturing monitoring device to acquire the material manufacturing monitoring video stream of each material manufacturing area by:
obtaining position information of the material manufacturing monitoring equipment of each material manufacturing area and the operation condition of the material manufacturing monitoring equipment;
and pushing the position information of the material manufacturing monitoring equipment and the control acquisition node of the material manufacturing monitoring equipment to each material manufacturing area to be acquired so as to control each material manufacturing monitoring equipment to acquire the material manufacturing monitoring video stream of each material manufacturing area according to the received environment acquisition path.
8. The material manufacturing key link analysis system according to claim 6, wherein the encryption transmission module randomly repackages the material manufacturing monitoring video streams transmitted by the material manufacturing monitoring devices, and transmits the repackaged material manufacturing monitoring video streams to the data analysis server for key link analysis after encryption setting:
randomly repacking the material manufacturing monitoring video streams sent by the material manufacturing monitoring equipment to obtain a random repacking processing data set;
and encrypting the random repackaging processing data set to obtain an encrypted random repackaging processing data set, and sending the encrypted random repackaging processing data set to the data analysis server for key link analysis.
9. The material manufacturing key element analysis system of claim 8, wherein the encryption transmission module transmits the key element analysis to the data analysis server by:
inserting the random number m into a predetermined position in the encrypted random repackaging processing data set according to a position predetermined with the data analysis server in advance, and transmitting the encrypted random repackaging processing data set into which the random number m is inserted to the data analysis server; or
And respectively setting the same marks for the random number m and the encrypted random repackaging processing data set, sending the random number m with the set marks to the data analysis server through a first communication link, and sending the encrypted random repackaging processing data set with the set marks to the data analysis server through a second communication link.
10. The material manufacturing key element analysis system according to any one of claims 6 to 9, wherein the generation and transmission module generates and transmits the material manufacturing key element analysis results reflecting each material manufacturing area to the user terminal for display by:
determining the acquisition time characteristics and the frequency link label characteristics of each material manufacturing area according to the concentrated frequency link and frequency link labels of each material manufacturing area obtained through statistics;
and generating a material manufacturing key link analysis result reflecting each material manufacturing area according to the acquisition time characteristic and the frequent link label characteristic of each material manufacturing area, and sending the material manufacturing key link analysis result to a user terminal for displaying.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011136759.4A CN112256757A (en) | 2020-10-22 | 2020-10-22 | Method and system for analyzing key links of material manufacturing |
| PCT/CN2020/126809 WO2022082874A1 (en) | 2020-10-22 | 2020-11-05 | Material manufacturing key link analysis method and system |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202011136759.4A CN112256757A (en) | 2020-10-22 | 2020-10-22 | Method and system for analyzing key links of material manufacturing |
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| TWI639978B (en) * | 2017-07-19 | 2018-11-01 | 和碩聯合科技股份有限公司 | Video surveillance system and video surveillance method |
| CN107767024A (en) * | 2017-09-20 | 2018-03-06 | 彩虹集团（邵阳）特种玻璃有限公司 | One kind is used for cover-plate glass product of production line quality real-time monitoring system and method |
| CN109344196A (en) * | 2018-10-25 | 2019-02-15 | 上海核工程研究设计院有限公司 | A kind of nuclear energy intelligent platform framework based on cloud |
| CN109934483A (en) * | 2019-03-09 | 2019-06-25 | 湖南纬拓信息科技有限公司 | A kind of manufacturing quality information managing and control system and method towards quality in kind promotion |
| CN110489827A (en) * | 2019-07-31 | 2019-11-22 | 上海建工七建集团有限公司 | Civil engineering test assesses device and method |
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