CN112235627B - Local storage time-sharing transmission method - Google Patents
Local storage time-sharing transmission method Download PDFInfo
- Publication number
- CN112235627B CN112235627B CN202011139140.9A CN202011139140A CN112235627B CN 112235627 B CN112235627 B CN 112235627B CN 202011139140 A CN202011139140 A CN 202011139140A CN 112235627 B CN112235627 B CN 112235627B
- Authority
- CN
- China
- Prior art keywords
- data
- time
- sharing
- server
- uploading
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 230000005540 biological transmission Effects 0.000 title claims abstract description 33
- 238000000034 method Methods 0.000 title claims abstract description 23
- 238000001514 detection method Methods 0.000 claims description 14
- 230000011218 segmentation Effects 0.000 claims description 12
- 230000006835 compression Effects 0.000 claims description 7
- 238000007906 compression Methods 0.000 claims description 6
- 238000004458 analytical method Methods 0.000 claims description 4
- 230000036541 health Effects 0.000 claims description 3
- 238000000605 extraction Methods 0.000 claims description 2
- 230000008569 process Effects 0.000 claims description 2
- 238000012545 processing Methods 0.000 abstract description 9
- 238000007405 data analysis Methods 0.000 abstract description 3
- 230000007613 environmental effect Effects 0.000 description 5
- 230000005764 inhibitory process Effects 0.000 description 3
- 238000002372 labelling Methods 0.000 description 2
- 238000007726 management method Methods 0.000 description 2
- 235000008694 Humulus lupulus Nutrition 0.000 description 1
- 241001310793 Podium Species 0.000 description 1
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 238000013480 data collection Methods 0.000 description 1
- 238000013144 data compression Methods 0.000 description 1
- 238000013500 data storage Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 229910052760 oxygen Inorganic materials 0.000 description 1
- 239000001301 oxygen Substances 0.000 description 1
- 238000011895 specific detection Methods 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
Images
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
- H04N21/433—Content storage operation, e.g. storage operation in response to a pause request, caching operations
- H04N21/4334—Recording operations
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/10—File systems; File servers
- G06F16/16—File or folder operations, e.g. details of user interfaces specifically adapted to file systems
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/10—File systems; File servers
- G06F16/17—Details of further file system functions
- G06F16/172—Caching, prefetching or hoarding of files
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/10—File systems; File servers
- G06F16/17—Details of further file system functions
- G06F16/174—Redundancy elimination performed by the file system
- G06F16/1744—Redundancy elimination performed by the file system using compression, e.g. sparse files
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/60—Protecting data
- G06F21/602—Providing cryptographic facilities or services
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/02—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP]
- H04L67/025—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP] for remote control or remote monitoring of applications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/06—Protocols specially adapted for file transfer, e.g. file transfer protocol [FTP]
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/14—Session management
- H04L67/143—Termination or inactivation of sessions, e.g. event-controlled end of session
- H04L67/145—Termination or inactivation of sessions, e.g. event-controlled end of session avoiding end of session, e.g. keep-alive, heartbeats, resumption message or wake-up for inactive or interrupted session
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L69/00—Network arrangements, protocols or services independent of the application payload and not provided for in the other groups of this subclass
- H04L69/04—Protocols for data compression, e.g. ROHC
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
- H04N21/439—Processing of audio elementary streams
- H04N21/4398—Processing of audio elementary streams involving reformatting operations of audio signals
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
- H04N21/44—Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream or rendering scenes according to encoded video stream scene graphs
- H04N21/4402—Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream or rendering scenes according to encoded video stream scene graphs involving reformatting operations of video signals for household redistribution, storage or real-time display
- H04N21/440218—Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream or rendering scenes according to encoded video stream scene graphs involving reformatting operations of video signals for household redistribution, storage or real-time display by transcoding between formats or standards, e.g. from MPEG-2 to MPEG-4
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
- H04N21/44—Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream or rendering scenes according to encoded video stream scene graphs
- H04N21/4408—Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream or rendering scenes according to encoded video stream scene graphs involving video stream encryption, e.g. re-encrypting a decrypted video stream for redistribution in a home network
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2221/00—Indexing scheme relating to security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F2221/21—Indexing scheme relating to G06F21/00 and subgroups addressing additional information or applications relating to security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F2221/2107—File encryption
Landscapes
- Engineering & Computer Science (AREA)
- Signal Processing (AREA)
- Theoretical Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Physics & Mathematics (AREA)
- Multimedia (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- General Health & Medical Sciences (AREA)
- Databases & Information Systems (AREA)
- Data Mining & Analysis (AREA)
- Health & Medical Sciences (AREA)
- Computer Security & Cryptography (AREA)
- Cardiology (AREA)
- Software Systems (AREA)
- Computer Hardware Design (AREA)
- Bioethics (AREA)
- Human Computer Interaction (AREA)
- Computing Systems (AREA)
- Medical Informatics (AREA)
- Information Transfer Between Computers (AREA)
Abstract
The invention discloses a local storage time-sharing transmission method, and belongs to the field of multimedia teaching. Aiming at the problems of how to upload the image, sound and control data to a server in a time-sharing way after local storage of the image, sound and control data acquired by external equipment such as cameras, face recognition, lamp control and the like. The invention discloses a method for analyzing and processing information collected by diversified external devices, classifying and compressing for storage and finally uploading the information to a server in a segmented mode. The method realizes the classification processing of local data and saves the space of a hard disk; the compressed data is uploaded in a segmented mode, so that the bandwidth is saved, and the data processing pressure of a server is reduced; and the files with small data volume are preferentially sent, so that the server data is ensured to be preferentially recorded and used. Meanwhile, the method can suspend transmission when the network environment is poor, and then carry out breakpoint continuous transmission when the network environment is recovered to be normal; and the data analysis and transmission can be carried out when the equipment is idle, so that the simultaneous time-sharing uploading of the data acquisition and transmission is realized.
Description
Technical Field
The invention relates to the field of multimedia teaching, in particular to a local storage time-sharing transmission method.
Background
Under the modern teaching requirement, each teaching unit establishes own multimedia classroom in a dispute. The classroom is equipped with diversified teaching equipment including blackboard, high-speed shooting instrument, ban board, podium, recording and broadcasting system, etc. The diversified devices are operated, and a plurality of information acquisition devices are contributed silently, so that teaching devices can be operated better and more stably. Along with the increase of teaching equipment, acquisition equipment also can increase gradually, and the data that this moment was gathered will be diversified, how to manage, how to distinguish to and better carry out classification and give our control backstage with them, simultaneously in transmission process, we can meet that the network situation is not good, and the too big single time of uploading of file is too long, and the uploading in-process leads to CPU and GPU memory consumption of equipment too big, influences a series of problems such as user's use.
In the prior art, teaching equipment is not deeply integrated with security, course patrol, recording and broadcasting systems and the like, and the systems are mutually independent, so that each system is provided with a set of supporting equipment and data storage and uploading links, such as classroom monitoring cameras and corresponding storage servers, course patrol cameras and corresponding storage servers and the like, under the condition that the purchase cost of the systems is increased, the cost of installation and maintenance of the systems is high, the use of each system is provided with respective inlets and mutually independent, the use convenience of the end user is greatly reduced, and other parts of hardware resources of the systems are in idle or even wasted conditions, such as storage resources and computing resources. In this case, if the data such as video, audio, control information and the like are simultaneously encoded and uploaded, data congestion occurs, which is disadvantageous for efficient transmission of the data in time.
Disclosure of Invention
1. Technical problem to be solved
Aiming at the data acquisition system appearing in the current market, the acquired data is single in type, a feasible scheme is lacked for diversified data processing, file data are disordered, and the problem of network hardware equipment consumption is not considered. The invention provides a local storage time-sharing transmission method, which can realize the classification of uploaded data, the compression and segmentation of files, and the transmission of the stored files in proper time, thereby improving the use experience of users.
2. Technical proposal
The aim of the invention is achieved by the following technical scheme:
a local storage time-sharing transmission method comprises the following steps:
step 1: the external equipment collects data under the control of an instruction of the intelligent blackboard;
step 2: classifying, cutting, compressing and storing the acquired data;
further, the classification cut protocol is as follows:
can be processed according to collected camera, face recognition, lamp control, environmental control, curtain, entrance guard information, classification and labeling,
setting a basic base class object for the data, wherein the basic base class object has an information name, an information category and an information data size, then assembling the data into data for the tag, storing the data into an array, and uniformly transmitting the data to a server. The server distinguishes the data types according to different information categories of the data objects.
Further, the compressed storage scheme is as follows:
the acquired segmentation data can be firstly subjected to base64 encryption to become serialized character string data, and then the corresponding data can be compressed into a zip or rar file through an input stream by a corresponding coding api in coding.
Step 3: judging whether the current time node needs data uploading or not; if yes, executing the step 4, otherwise, re-executing the step 3 at the next time node;
step 4: and sending the data to the server in a time-sharing package mode.
Further, when the external device is a three-in-one camera, the specific acquisition steps are as follows:
step 1: firstly, classifying according to the acquisition category, and classifying the acquired audio and video data into security data or recorded broadcast data or class patrol data; the collected data is not confused.
Step 2: respectively carrying out tag pairing on the acquired audio and video data, and carrying out segmentation management storage; the synchronization of the audio data and the video data is ensured.
Step 3: the acquired audio and video data are compressed, the size of an uploading file is not particularly large by segmentation, and meanwhile, the uploading file can be uploaded singly, so that the pressure of a server is relieved; and uploading the compressed and partitioned files at the same time when the server configuration is sufficient.
Step 4: the collected audio and video data is encrypted, so that the safety of the data in the uploading process is ensured
Further, the specific acquisition steps when the data are face recognition data are as follows:
step 1: the face recognition data are acquired through a three-in-one camera;
step 2: the collected face data is subjected to characteristic value extraction and behavior analysis for a security control management end;
step 3: the characteristic value data and the behavior analysis data are sent to the equipment end;
step 4: the device side compresses, divides, encrypts and packages the data and sends the data to the server in a time sharing mode.
Further, the specific acquisition steps when the data are lamplight data are as follows:
step 1: the light data is mainly returned by the light control end to collect the light brightness, the light temperature and the light lighting time length data and then send the data to the equipment end;
step 2: the device end compresses, divides, encrypts and packages the lamp control data and sends the lamp control data to the server end in a time sharing mode.
Further, the specific acquisition steps when the data are environment detection data are as follows:
step 1: the environment detection data mainly comprises that a health detector respectively carries out data detection and acquisition on healthy environment parameters such as pm2.5, ambient temperature, humidity, ambient oxygen saturation and the like;
step 2: and the environment detection data are collected and transmitted to the equipment end for compression, segmentation, encryption and storage, and finally, the environment detection data are packaged and transmitted to the server in a time sharing manner.
Further, when the data is curtain data, the specific acquisition steps are as follows:
step 1: the curtain data acquisition mainly acquires data such as the opening state of a curtain, the opening and closing area of the curtain and the like;
step 2: the curtain returns the acquired data to the equipment end;
step 3: the device end compresses, divides, encrypts and stores the acquired data, and packages and sends the data to the server in a time-sharing manner.
Further, the specific acquisition steps when the data are access control data are as follows:
step 1: the gate inhibition hardware equipment collects the card swiping and attendance checking information such as card swiping, fingerprint and the like;
step 2: the access control equipment returns the acquired data to the equipment end;
step 3: the device end compresses, divides, encrypts and stores the acquired data, and packages and sends the data to the server in a time-sharing manner.
Further, in the step 4, the specific content transferred in a time-sharing manner includes: when the file with small data volume is sent preferentially, the data acquired by the server end can be recorded preferentially and used; when the network state of the equipment is poor, suspending transmission, and waiting for the network environment to resume normal, then performing breakpoint continuous transmission; performing data analysis and data transmission in the background when the device is not operated for more than a certain time; and when the device is in the early-break, the afternoon and the late-break time, data analysis and data transmission are carried out.
Further, the device is normally used and simultaneously performs time-sharing transmission, and a judgment expression for judging whether the current time point is suitable for data uploading is as follows:
wherein F (Vi) is a judgment factor, vi is acquired data of the ith external equipment port, and Wi is judgment output data of the ith external equipment port.
Further, the time period of the timed upload is selected as: uploading when the CPU utilization rate is less than or equal to 13% from 6 to 8 in early rest; uploading when the CPU utilization rate is less than or equal to 13% from 12 points to 13 points in noon break; uploading is carried out from 24 hours in the late holiday to 6 hours in the next morning when the CPU utilization rate is less than or equal to 13%.
3. Advantageous effects
Compared with the prior art, the invention has the advantages that: the technology has the technical advantages of diversification, classification, labeling, audio and video coding and decoding, compression, segmentation, breakpoint continuous transmission and the like of audio and video and control data. The method realizes the controllability of the uploading time of the local storage, and ensures that the user can not be influenced while uploading the data.
Drawings
FIG. 1 is a general block diagram of the present invention;
FIG. 2 is a schematic flow chart of the method of the present invention.
Detailed Description
The invention will now be described in detail with reference to the drawings and the accompanying specific examples.
Example 1
One solution for local storage time-sharing upload is shown in figure 1,
security protection, recorded broadcast, three-in-one camera of patrolling class, face identification, lamp accuse, environmental control equipment, (window) curtain, entrance guard's equipment and blackboard keep connecting, and blackboard and server carry out data interaction.
The three-in-one camera is externally connected with the blackboard, the blackboard controls the camera to pick up the video, the camera transmits the audio and video data to the blackboard, and the blackboard compresses the data, labels and performs segmentation processing. And uploading data to a server during early-noon break, late-noon break and blackboard idle. The audio and video capture data through a system camera, decode the data into h264 stream data through a media codec, carry out rtsp push stream to a device end through a live555, and store the data at the device end.
Tests prove that the cpu utilization rate is about 13% on average when a user uses the blackboard.
The early break time can be based on 6:00< = time < = 8: uploading is performed at 00and cpu < = 13%. The time discrimination for noon break can be based on 12:00< = time < = 13: uploading is performed at 00and cpu < = 13%. The late-break time determination can be based on 24:00< = time < = 6: uploading is performed at 00and cpu < = 13%.
The face recognition and the blackboard are kept in long connection, face recognition data are collected and pushed onto the blackboard, and the blackboard is used for data collection, compression and label segmentation. And uploading data to a server during early-noon break, late-noon break and blackboard idle. The face recognition data is obtained through capturing the data by the camera, analyzing the data into a data stream, extracting the face characteristic value by using a face recognition algorithm, and pushing the characteristic value to the equipment end.
The lamp control equipment is connected with the blackboard in a long way, the blackboard sends an instruction to tell whether the lamp control needs to be switched on or off, and the lamp control pushes the switch state and the lamplight information to the blackboard through the long connection. And (5) collecting data, compressing and dividing the label by the blackboard. And uploading data to a server during early-noon break, late-noon break and blackboard idle. The lamplight is communicated through socket end tcp, the equipment end searches for lamp control equipment, the lamp control is controlled, and the lamp control returns operation information to the equipment end through socket.
The environment detection control end is connected with the blackboard in a long way, when the environmental parameter is detected by the environmental control equipment, the environmental parameter is pushed to the blackboard, and the blackboard is subjected to data acquisition, compression and label segmentation. And uploading data to a server during early-noon break, late-noon break and blackboard idle. The environment detection is also communicated through socket end tcp, the equipment end is connected with the environment detection system in a long way, a specific detection instruction is sent to the environment detection system, and the system returns the detected environment parameters to the equipment end through socket for storage.
The curtain device is connected with the blackboard in a long way, the blackboard sends an instruction to tell whether the curtain needs to be opened or not, and the curtain pushes the information of the opening state and the opening degree of the curtain to the blackboard through the long connection. And (5) collecting data, compressing and dividing the label by the blackboard. And uploading data to a server during early-noon break, late-noon break and blackboard idle. The curtain also carries out tcp communication through the socket, the equipment end sends a tcp command to the curtain control system, and the curtain returns control information to the equipment end through the socket.
The access control end is connected with the blackboard in a long way, the access control equipment acquires a new card, when the fingerprint attendance data is acquired, the fingerprint attendance data is pushed to the blackboard, the blackboard performs data acquisition, compression and label segmentation processing. And uploading data to a server during early-noon break, late-noon break and blackboard idle. The gate inhibition system is connected with the equipment in a socket long way, the frequency of 2s Zhong Xin hops is kept, the equipment end detects whether new gate inhibition attendance data are returned or not, and the data are stored in the database.
Finally, according to the various data time-sharing transmission method flowcharts shown in fig. 2, the local storage time-sharing transmission method provided by the invention comprises the following steps: the period control module in the intelligent blackboard periodically transmits acquisition starting signals to a plurality of external devices respectively; the external equipment receives the acquisition starting signal, acquires and transmits acquired data to a data processing module in the intelligent blackboard; the data processing module receives the collected data sent back by each external device, screens each collected data according to a preset judging expression, and sends the screened collected data to an upper computer or a server, and uses the okhttp to upload files, and when the uploading fails, breakpoint recording is carried out, and breakpoint continuous transmission is carried out next time; the upper computer or the server receives the acquired data sent by the data processing module.
The total power consumption Di of the external equipment can be compared with the fixed threshold G to judge whether the acquired data needs to be uploaded to an upper computer or a server, and the judgment expression is as follows:
wherein F (Vi) is a judgment factor, vi is acquired data of the ith sensor port, and Wi is judgment output data of the ith sensor port.
The total power consumption Di of the external equipment can be compared with the fixed threshold G to judge whether the acquired data needs to be uploaded to an upper computer or a server, and the judgment factors are as follows:
the calculation of the total power consumption Dn of the current external device and the total power consumption Dn-1 of the external device in the previous period can be compared with the change threshold B to judge whether the time point needs to be uploaded to an upper computer or a server, and the judgment expression is as follows:
the foregoing has been described schematically the invention and embodiments thereof, which are not limiting, but are capable of other specific forms of implementing the invention without departing from its spirit or essential characteristics. The drawings are also intended to depict only one embodiment of the invention, and therefore the actual construction is not intended to limit the claims, any reference number in the claims not being intended to limit the claims. Therefore, if one of ordinary skill in the art is informed by this disclosure, a structural manner and an embodiment similar to the technical scheme are not creatively designed without departing from the gist of the present invention, and all the structural manners and the embodiment are considered to be within the protection scope of the present patent. In addition, the word "comprising" does not exclude other elements or steps, and the word "a" or "an" preceding an element does not exclude the inclusion of a plurality of such elements. The various elements recited in the product claims may also be embodied in software or hardware. The terms first, second, etc. are used to denote a name, but not any particular order.
Claims (7)
1. The local storage time-sharing transmission method is characterized by comprising the following steps of:
step 1: the external equipment collects data under the control of an instruction of the intelligent blackboard;
step 2: classifying, cutting, compressing and storing the acquired data;
step 3: judging whether the current time node needs data uploading or not; if yes, executing the step 4, otherwise, re-executing the step 3 at the next time node;
step 4: the data are packaged in a time-sharing mode and sent to a server; the time-sharing transmission includes: preferentially sending files with small data volume; when the network state does not meet the transmission requirement, suspending transmission, and waiting for the network environment to resume normal, and then performing breakpoint continuous transmission; the external device uploads data at a proper time point;
the judging expression for judging whether the current time point is suitable for data uploading is as follows:
wherein F (Vi) is a judging factor, vi is acquired data of an ith external equipment port, and Wi is judging output data of the ith external equipment port;
the external equipment at least comprises a security protection, recording and broadcasting and course patrol three-in-one camera, and the specific acquisition steps of the three-in-one camera are as follows:
step 1: firstly, classifying according to the acquisition category, and classifying the acquired audio and video data into security data or recorded broadcast data or class patrol data;
step 2: respectively carrying out tag pairing on the acquired audio and video data, and carrying out segmentation management storage;
step 3: compressing and dividing the collected audio and video data;
step 4: and (3) encrypting the acquired audio and video data to ensure the safety of the data in the uploading process.
2. The local storage time-sharing transmission method according to claim 1, wherein the specific acquisition steps when the data are face recognition data are as follows:
step 1: the face recognition data are acquired through a three-in-one camera;
step 2: the collected face data is subjected to characteristic value extraction and behavior analysis for a security control management end;
step 3: the characteristic value data and the behavior analysis data are sent to the equipment end;
step 4: the device side compresses, divides, encrypts and packages the data and sends the data to the server in a time sharing mode.
3. The local storage time-sharing transmission method according to claim 1, wherein the specific acquisition steps when the data is lamp control data are as follows:
step 1: the light data is mainly returned by the light control end to collect the light brightness, the light temperature and the light lighting time length data and then send the data to the equipment end;
step 2: the device end compresses, divides, encrypts and packages the lamp control data and sends the lamp control data to the server end in a time sharing mode.
4. The local storage time-sharing transmission method according to claim 1, wherein the specific acquisition steps when the data is environment detection data are as follows:
step 1: the environment detection data are mainly data obtained by carrying out data detection and acquisition on the health environment parameters by a health detector;
step 2: and the environment detection data are collected and transmitted to the equipment end for compression, segmentation, encryption and storage, and finally, the environment detection data are packaged and transmitted to the server in a time sharing manner.
5. The local storage time-sharing transmission method according to claim 1, wherein the specific acquisition steps when the data is curtain data are as follows:
step 1: collecting curtain opening state data and curtain opening and closing area data;
step 2: returning the acquired data to the equipment end;
step 3: the device end compresses, divides, encrypts and stores the acquired data, and packages and sends the data to the server in a time-sharing manner.
6. The local storage time-sharing transmission method according to claim 1, wherein the specific acquisition steps when the data is door control data are as follows:
step 1: the door control hardware equipment collects attendance information such as card swiping, fingerprint and the like;
step 2: the access control equipment returns the acquired data to the equipment end;
step 3: the device end compresses, divides, encrypts and stores the acquired data, and packages and sends the data to the server in a time-sharing manner.
7. The local storage time-sharing transmission method according to claim 1, wherein the period of time for the timed upload is selected as: uploading when the CPU utilization rate is less than or equal to 13% from 6 to 8 in early rest; uploading when the CPU utilization rate is less than or equal to 13% from 12 points to 13 points in noon break; uploading is carried out from 24 hours in the late holiday to 6 hours in the next morning when the CPU utilization rate is less than or equal to 13%.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202011139140.9A CN112235627B (en) | 2020-10-22 | 2020-10-22 | Local storage time-sharing transmission method |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202011139140.9A CN112235627B (en) | 2020-10-22 | 2020-10-22 | Local storage time-sharing transmission method |
Publications (2)
Publication Number | Publication Date |
---|---|
CN112235627A CN112235627A (en) | 2021-01-15 |
CN112235627B true CN112235627B (en) | 2023-07-11 |
Family
ID=74109912
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202011139140.9A Active CN112235627B (en) | 2020-10-22 | 2020-10-22 | Local storage time-sharing transmission method |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN112235627B (en) |
Families Citing this family (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN114884937B (en) * | 2022-05-27 | 2024-01-09 | 宁夏中宁县京能新能源有限公司 | New energy centralized control system data breakpoint continuous transmission method |
Citations (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN203084971U (en) * | 2013-01-30 | 2013-07-24 | 舒长 | Intelligent classroom system |
Family Cites Families (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102137106B (en) * | 2011-03-14 | 2013-06-05 | 西安听者有声文化传播有限公司 | Audio processing system of internet audio sharing platform |
CN104200328B (en) * | 2014-09-09 | 2017-08-15 | 河海大学常州校区 | A kind of smart classroom tutoring system and method based on body-sensing technology |
CN105306861B (en) * | 2015-10-15 | 2017-03-01 | 深圳市鹰硕技术有限公司 | A kind of Web-based instruction recorded broadcast method and system |
CN108230643A (en) * | 2017-12-11 | 2018-06-29 | 李长云 | A kind of autonomous type Internet of Things concentrator and data autonomous transmission method |
CN109130616A (en) * | 2018-10-19 | 2019-01-04 | 自贡中龙旗教学设备有限公司 | A kind of full-scale intelligent display screen blackboard |
CN109697680A (en) * | 2019-01-07 | 2019-04-30 | 福建华众互联网科技有限公司 | A kind of wisdom tutoring system based on big data analysis |
CN110650185A (en) * | 2019-09-04 | 2020-01-03 | 安徽省粮油信息中心(安徽粮食批发交易市场管委会) | Method and system for asynchronous uploading and delayed integration of multi-type heterogeneous data |
CN110933350A (en) * | 2019-12-13 | 2020-03-27 | 北京文香信息技术有限公司 | Electronic cloud mirror recording and broadcasting system, method and device |
CN111210681A (en) * | 2020-03-03 | 2020-05-29 | 北京文香信息技术有限公司 | Multi-functional wisdom blackboard |
-
2020
- 2020-10-22 CN CN202011139140.9A patent/CN112235627B/en active Active
Patent Citations (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN203084971U (en) * | 2013-01-30 | 2013-07-24 | 舒长 | Intelligent classroom system |
Also Published As
Publication number | Publication date |
---|---|
CN112235627A (en) | 2021-01-15 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
US11354993B2 (en) | Image surveillance and reporting technology | |
CN206894809U (en) | Electric power safety operation and O&M intelligent monitoring system | |
CN102752574A (en) | Video monitoring system and method | |
CN102546338B (en) | Multimedia intelligent sensor network system and method based on controller area network (CAN) bus | |
CN103297512A (en) | System and method for intelligent face recognition area network monitoring based on cloud technology | |
CN208479837U (en) | A kind of real-time target detection device based on raspberry pie | |
CN109495723A (en) | A kind of domestic intelligent monitoring system calculated based on mist | |
CN104284162A (en) | Video retrieval method and system | |
CN112235627B (en) | Local storage time-sharing transmission method | |
CN102917207A (en) | Motion sequence based abnormal motion vision monitoring system | |
CN101720024A (en) | Intelligent recognition monitoring system and monitoring method thereof | |
CN104702916A (en) | Intelligent video monitoring system based on smart phone | |
CN115103157A (en) | Video analysis method and device based on edge cloud cooperation, electronic equipment and medium | |
CN204926080U (en) | System for video can be retrieveed with target to discernment people's face or video recording of license plate target | |
CN110866553A (en) | User behavior classification method and system based on encrypted camera flow statistical characteristics | |
CN104463114A (en) | Method for catching images and quickly recognizing targets and embedded device | |
CN111064928A (en) | Video monitoring system with face recognition function | |
CN114257785A (en) | Video processing method based on edge calculation | |
US11343551B1 (en) | Bandwidth estimation for video streams | |
CN101694734B (en) | Embedded intelligent digital hard disk video recorder for ATM machine | |
CN201608830U (en) | Intelligent monitoring system based on mobile video signals | |
CN109361900B (en) | Door entry monitoring system based on electronic equipment | |
CN112215733A (en) | Campus informatization system and processing method based on blackboard | |
CN113434730A (en) | Outdoor led media monitoring system based on Internet of things | |
CN113570837B (en) | Multi-region cascading security monitoring system and method |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |