CN112235627A - Local storage time-sharing transmission method - Google Patents
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- CN112235627A CN112235627A CN202011139140.9A CN202011139140A CN112235627A CN 112235627 A CN112235627 A CN 112235627A CN 202011139140 A CN202011139140 A CN 202011139140A CN 112235627 A CN112235627 A CN 112235627A
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- 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
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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
- G06F16/10—File systems; File servers
- G06F16/16—File or folder operations, e.g. details of user interfaces specifically adapted to file systems
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- 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
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- 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
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- 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
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- 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
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- 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]
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- 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
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- 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
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- H—ELECTRICITY
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- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
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- H04N21/439—Processing of audio elementary streams
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- H04N21/44—Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream, rendering scenes according to MPEG-4 scene graphs
- H04N21/4402—Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream, rendering scenes according to MPEG-4 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, rendering scenes according to MPEG-4 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
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- H—ELECTRICITY
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- 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, rendering scenes according to MPEG-4 scene graphs
- H04N21/4408—Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream, rendering scenes according to MPEG-4 scene graphs involving video stream encryption, e.g. re-encrypting a decrypted video stream for redistribution in a home network
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- 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
Abstract
The invention discloses a local storage time-sharing transmission method, and belongs to the field of multimedia teaching. The problem of how to upload to the server in a time-sharing manner after the local storage of images, sounds and control data collected by external equipment such as a camera, face recognition, lamp control and the like is solved. The invention discloses a method for analyzing and processing information collected by diversified external equipment, then classifying and compressing the information for storage, and finally uploading the information to a server in a segmented manner. The method realizes the classification processing of the local data and saves the space of the hard disk; the compressed data is uploaded in sections, so that the bandwidth is saved, and the data processing pressure of a server is reduced; and preferentially sending files with small data volume, and ensuring that server data is preferentially input and used. Meanwhile, the method can suspend transmission when the network environment is not good, and then carry out breakpoint transmission when the network environment is recovered to normal; and data analysis and transmission can be performed when the equipment is idle, so that time-sharing uploading of 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 requirement of modern teaching, each teaching unit establishes a multimedia classroom. Diversified teaching equipment including a blackboard, a high-speed shooting instrument, a class board, a platform, a class patrol recording and broadcasting system and the like is arranged in a classroom. The diversified devices contribute to the demerit of many information acquisition devices on the back of operation, and the teaching devices can operate better and more stably. With the increase of teaching equipment, the number of acquisition equipment is increased gradually, the acquired data is diversified, managed, distinguished and classified to be transmitted to a control background of the user better, and meanwhile, in the transmission process, the user can have a series of problems that the network condition is poor, the file is too large, the single uploading time is too long, the consumption of a CPU (central processing unit) and a GPU (graphics processing unit) memory of the equipment is too large in the uploading process, the use of the user is influenced and the like.
In the prior art, teaching equipment and security, class patrol, recording and broadcasting and other systems are not deeply fused, and the systems are mutually independent, so that each system has a set of supporting equipment and a data storage and uploading link belonging to each system, such as a classroom monitoring camera and a corresponding storage server, a class patrol camera and a corresponding storage server, and the like. In addition, in this case, if data such as video, audio, and control information are encoded and uploaded at the same time, data congestion occurs, which is not favorable for timely and effective data transmission.
Disclosure of Invention
1. Technical problem to be solved
Aiming at the problems that the data acquisition system in the market at present has single type of acquired data, a feasible scheme is lacked for diversified data processing, file data is messy, and consumption of network hardware equipment is not considered. The invention provides a local storage time-sharing transmission method, which can realize the classification of uploaded data, the compression and the division of processed files, and the transmission of stored files in proper time, thereby improving the user experience.
2. Technical scheme
The purpose of the invention is realized 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 instruction control of the intelligent blackboard;
step 2: classifying, cutting and compressing the acquired data;
further, the classification cutting scheme is as follows:
can be classified and labeled according to the collected camera, face recognition, lamp control, environment control, curtain and entrance guard information,
and setting a basic base class object for the data, wherein the basic base class object comprises an information name, an information category and an information data size, then assembling the basic base class object into the data of the tag, storing the data into an array, and uniformly sending the data to the server. And the server distinguishes data types according to different information types of the data object.
Further, the compressed storage scheme is as follows:
the acquired segmentation data can be subjected to base64 encryption to become serialized string data, and then the corresponding data can be compressed into a zip or rar file through an input stream by a corresponding encoding api inside the encoding.
And step 3: judging whether the current time node needs to upload data or not; if yes, executing the step 4, otherwise, executing the step 3 again at the next time node;
and 4, step 4: and time-sharing packaging and sending the data to a server.
Further, the specific collection step when external equipment is trinity camera is as follows:
step 1: firstly, classifying the collected audio and video data into security data, recorded broadcast data or patrol data according to the collection category; the collected data is ensured not to be mixed and disordered.
Step 2: respectively performing label matching on the acquired audio and video data, and performing segmentation management and storage; audio data and video data are guaranteed to be synchronized.
And step 3: the acquired audio and video data are compressed, and the division processing ensures that the size of an uploaded file is not particularly large, and meanwhile, the uploaded file can be uploaded singly, so that the pressure of a server is reduced; and when the server configuration is sufficient, uploading the compressed and divided files simultaneously.
And 4, step 4: the collected audio and video data are encrypted, and the safety of the data in the uploading process is ensured
Further, when the data is face recognition data, the specific acquisition steps are as follows:
step 1: acquiring face recognition data through a three-in-one camera;
step 2: carrying out characteristic value extraction and behavior analysis on the collected face data for a security control management terminal;
and step 3: sending the characteristic value data and the behavior analysis data to an equipment end;
and 4, step 4: and the equipment end compresses, divides and encrypts the data, and finally packs and time-share the data and sends the data to the server.
Further, when the data is the light data, the specific acquisition steps are as follows:
step 1: the return of the light data is mainly that the light control end collects the data of light brightness, light temperature and light lighting time length and then sends the data to the equipment end;
step 2: and the equipment terminal compresses, segments, encrypts and packs the lamp control data in a time-sharing manner and sends the lamp control data to the server terminal.
Further, when the data is the environmental detection data, the specific acquisition steps are as follows:
step 1: the environment detection data mainly comprises that the health detector respectively detects and collects health environment parameters such as pm2.5, ambient temperature, humidity, ambient oxygen saturation and the like;
step 2: and the environment detection data is acquired and transmitted to the equipment terminal for compression, segmentation, encryption storage and finally packaging and time-sharing transmission to the server.
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 collected data to the equipment end;
and step 3: the device end compresses, divides, encrypts and stores the acquired data, and packs and sends the data to the server in a time-sharing manner.
Further, when the data is access control data, the specific acquisition steps are as follows:
step 1: the access control hardware equipment acquires card swiping attendance information such as card swiping and fingerprints;
step 2: the access control equipment returns the acquired data to the equipment end;
and step 3: the device end compresses, divides, encrypts and stores the acquired data, and packs and sends the data to the server in a time-sharing manner.
Further, in step 4, the specific content of the time-sharing transmission includes: when the file with small data volume is sent preferentially, the data acquired by the server can be ensured to be recorded preferentially for use; when the network state of the equipment is poor, the transmission is suspended, and the breakpoint transmission is continued when the network environment is recovered to be normal; when the equipment is not operated for a certain time, data analysis and data transmission are carried out in the background; when the equipment carries out data analysis and data transmission in the early break, the noon break and the late break.
Further, the judgment expression for carrying out time-sharing transmission while the device is normally used and judging whether the current time point is suitable for data uploading is as follows:
wherein, F (Vi) is a judgment factor, Vi is the collected data of the ith external equipment port, and Wi is the judgment output data of the ith external equipment port.
Further, the time period for the timed upload is selected as: uploading when the early break is 6 to 8 and the CPU utilization rate is less than or equal to 13%; uploading when the noon break is 12 to 13 and the CPU utilization rate is less than or equal to 13%; uploading the data from 24 am to 6 am of the next day in the late morning and 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 diversification, the acquisition of audio and video and control data, classification, labeling, audio and video coding and decoding, compression and segmentation of big data, breakpoint continuous transmission and other technical advantages. The method and the device realize the controllability of local storage and uploading time, and ensure that the use of a user is not influenced while data are uploaded.
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 is described in detail below with reference to the drawings and specific examples.
Example 1
One solution for local storage time-sharing upload is shown in figure 1,
the security protection, the recorded broadcast, the trinity camera of patrolling a lesson, face identification, the lamp accuse, the environmental control equipment, the (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 to the upper surface of the blackboard, the blackboard controls the camera to make a video, the camera transmits audio and video data to the blackboard, and the blackboard performs data compression, labeling and segmentation processing. And uploading data to a server when the blackboard is idle in early break, noon break and late break. The audio and video capture data through a system camera, the data are decoded into h264 streaming data through a media codec C, rtsp streaming is carried out through live555 to the equipment end, and the equipment end stores the data.
Tests prove that the CPU utilization rate is about 13% on average when a user uses a blackboard.
The time of early rest can be based on 6: 00< - > time < -8: uploading when 00and cpu < ═ 13%. The time of the lunch break can be determined from 12: 00 & lttime & gt 13: uploading when 00and cpu < ═ 13%. The time of late break can be determined from 24: 00 & lttime & gt 6: uploading when 00and cpu < ═ 13%.
The face recognition and the blackboard are in long connection, face recognition data are collected and pushed to the upper surface of the blackboard, and the blackboard carries out data collection, compression and label segmentation processing. And uploading data to a server when the blackboard is idle in early break, noon break and late break. The face recognition data is captured by the camera, the data is analyzed into data flow, a face characteristic value is extracted by a face recognition algorithm, and the characteristic value is pushed to the equipment end.
The lamp control equipment is in long connection with the blackboard, the blackboard sends an instruction to tell whether the lamp control needs to be switched on or off, and the lamp control pushes the on-off state and the light information to the blackboard through long connection. The blackboard performs data acquisition, compression and label segmentation processing. And uploading data to a server when the blackboard is idle in early break, noon break and late break. Light is communicated through socket end tcp, the equipment end searches for the lamp control equipment to control the lamp control, and the lamp control returns the operation information to the equipment end through the socket.
The environment detection control end is in long connection with the blackboard, and when the environment control equipment detects environment parameters, the environment detection control end is pushed to the blackboard to carry out data acquisition, compression and label segmentation processing on the blackboard. And uploading data to a server when the blackboard is idle in early break, noon break and late break. The environment detection is also carried out through socket end tcp, the equipment end is in long connection with the environment detection system, a specific detection instruction is sent to the environment detection system, and the system returns the detected environment parameters to the equipment end through the socket for storage.
The curtain device is in long connection with the blackboard, the blackboard sends an instruction to tell whether the curtain needs to be opened, and the curtain pushes the information of the opening state and the opening and closing degree of the curtain to the blackboard through the long connection. The blackboard performs data acquisition, compression and label segmentation processing. And uploading data to a server when the blackboard is idle in early break, noon break and late break. 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 entrance guard control end and the blackboard are kept in long connection, the entrance guard equipment collects new card swiping data, the data is pushed to the blackboard when fingerprint attendance data are collected, the data are collected and compressed on the blackboard, and the label is cut apart and processed. And uploading data to a server when the blackboard is idle in early break, noon break and late break. The entrance guard system is in socket long connection with the equipment, 2s clock heartbeat frequency is kept, and the equipment side detects whether new entrance guard attendance data are returned or not and stores the data into a database if the new entrance guard attendance data are returned.
Finally, according to the flow chart of the time-sharing transmission method of various data shown in fig. 2, the local storage time-sharing transmission method provided by the present invention includes the following steps: a period control module in the intelligent blackboard periodically sends acquisition starting signals to a plurality of external devices respectively; the external equipment receives the acquisition starting signal, acquires and sends the 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 the collected data according to a preset judgment expression, sends the screened collected data to an upper computer or a server, uploads a file by using an okhttp, records a breakpoint when uploading fails, and continues to transmit the breakpoint next time; and the upper computer or the server receives the acquired data sent by the data processing module.
Whether the collected data need to be uploaded to an upper computer or a server or not can be judged by comparing the total power consumption Di of the external equipment with a fixed threshold G, and the judgment expression is as follows:
wherein, F (Vi) is a judgment factor, Vi is the collected data of the ith sensor port, and Wi is the judgment output data of the ith sensor port.
Whether the collected data need to be uploaded to an upper computer or a server or not can be judged by comparing the total power consumption Di of the external equipment with a fixed threshold G, and the judgment factor is as follows:
whether the time point needs to be uploaded to an upper computer or a server or not can be judged by comparing the calculation of the total power consumption Dn of the current external equipment and the total power consumption Dn-1 of the external equipment in the previous period with a change threshold B, and the judgment expression is as follows:
the invention and its embodiments have been described above schematically, without limitation, and the invention can be embodied in other specific forms without departing from the spirit or essential characteristics thereof. The representation in the drawings is only one of the embodiments of the invention, the actual construction is not limited thereto, and any reference signs in the claims shall not limit the claims concerned. Therefore, if a person skilled in the art receives the teachings of the present invention, without inventive design, a similar structure and an embodiment to the above technical solution should be covered by the protection scope of the present patent. Furthermore, the word "comprising" does not exclude other elements or steps, and the word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. Several of the elements recited in the product claims may also be implemented by one element in software or hardware. The terms first, second, etc. are used to denote names, but not any particular order.
Claims (10)
1. A local storage time sharing transmission method is characterized by comprising the following steps:
step 1: the external equipment collects data under the instruction control of the intelligent blackboard;
step 2: classifying, cutting and compressing the acquired data;
and step 3: judging whether the current time node needs to upload data or not; if yes, executing the step 4, otherwise, executing the step 3 again at the next time node;
and 4, step 4: and time-sharing packaging and sending the data to a server.
2. The method according to claim 1, wherein the external device is a three-in-one camera, and the specific collection steps are as follows:
step 1: firstly, classifying the collected audio and video data into security data, recorded broadcast data or patrol data according to the collection category;
step 2: respectively performing label matching on the acquired audio and video data, and performing segmentation management and storage;
and step 3: compressing and segmenting the acquired audio and video data;
and 4, step 4: the collected audio and video data are encrypted, and the safety of the data in the uploading process is guaranteed.
3. The local storage time sharing transmission method according to claim 1, wherein the specific acquisition steps when the data is face recognition data are as follows:
step 1: acquiring face recognition data through a three-in-one camera;
step 2: carrying out characteristic value extraction and behavior analysis on the collected face data for a security control management terminal;
and step 3: sending the characteristic value data and the behavior analysis data to an equipment end;
and 4, step 4: and the equipment end compresses, divides and encrypts the data, and finally packs and time-share the data and sends the data to the server.
4. The local storage time sharing transmission method according to claim 1, wherein the specific collection steps when the data is light data are as follows:
step 1: the return of the light data is mainly that the light control end collects the data of light brightness, light temperature and light lighting time length and then sends the data to the equipment end;
step 2: and the equipment terminal compresses, segments, encrypts and packs the lamp control data in a time-sharing manner and sends the lamp control data to the server terminal.
5. The local storage time sharing transmission method according to claim 1, wherein the specific collection steps when the data is environment detection data are as follows:
step 1: the environment detection data mainly comprises data detection and acquisition of health environment parameters by a health detector;
step 2: and the environment detection data is acquired and transmitted to the equipment terminal for compression, segmentation, encryption storage and finally packaging and time-sharing transmission to the server.
6. The local storage time sharing transmission method according to claim 1, wherein the specific collection 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 collected data to the equipment end;
and step 3: the device end compresses, divides, encrypts and stores the acquired data, and packs 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 specific acquisition steps when the data is access control data are as follows:
step 1: the access control hardware equipment acquires card swiping attendance information such as card swiping and fingerprints;
step 2: the access control equipment returns the acquired data to the equipment end;
and step 3: the device end compresses, divides, encrypts and stores the acquired data, and packs and sends the data to the server in a time-sharing manner.
8. The local storage time sharing transmission method according to any one of claims 1 to 7, wherein in the step 4, the time sharing transmission includes: preferentially transmitting a data amount lower than the average; when the network state does not meet the sending requirement, the transmission is suspended, and the breakpoint transmission is continued when the network environment is recovered to be normal; and judging that the external equipment uploads the data at a proper time point.
9. The local storage time sharing transmission method according to claim 9, wherein the determination expression for determining whether the current time point is suitable for data uploading is:
wherein, F (Vi) is a judgment factor, Vi is the collected data of the ith external equipment port, and Wi is the judgment output data of the ith external equipment port.
10. The local storage time sharing transmission method according to claim 9, wherein the time period for the timed upload is selected as: uploading when the early break is 6 to 8 and the CPU utilization rate is less than or equal to 13%; uploading when the noon break is 12 to 13 and the CPU utilization rate is less than or equal to 13%; uploading the data from 24 am to 6 am of the next day in the late morning and when the CPU utilization rate is less than or equal to 13%.
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| CN114884937A (en) * | 2022-05-27 | 2022-08-09 | 宁夏中宁县京能新能源有限公司 | Data breakpoint continuous transmission method of new energy centralized control system |
Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102137106A (en) * | 2011-03-14 | 2011-07-27 | 西安听者有声文化传播有限公司 | Audio processing system of internet audio sharing platform |
| CN203084971U (en) * | 2013-01-30 | 2013-07-24 | 舒长 | Intelligent classroom system |
| CN104200328A (en) * | 2014-09-09 | 2014-12-10 | 河海大学常州校区 | Somatosensory technology based intelligent classroom teaching system and method |
| 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 |
| US20180293906A1 (en) * | 2015-10-15 | 2018-10-11 | Shenzhen Eaglesoul Technology Co., Ltd. | Method and system for recording and playback of web-based instructions |
| 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 (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102137106A (en) * | 2011-03-14 | 2011-07-27 | 西安听者有声文化传播有限公司 | Audio processing system of internet audio sharing platform |
| CN203084971U (en) * | 2013-01-30 | 2013-07-24 | 舒长 | Intelligent classroom system |
| CN104200328A (en) * | 2014-09-09 | 2014-12-10 | 河海大学常州校区 | Somatosensory technology based intelligent classroom teaching system and method |
| US20180293906A1 (en) * | 2015-10-15 | 2018-10-11 | Shenzhen Eaglesoul Technology Co., Ltd. | Method and system for recording and playback of web-based instructions |
| 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 |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114884937A (en) * | 2022-05-27 | 2022-08-09 | 宁夏中宁县京能新能源有限公司 | Data breakpoint continuous transmission method of new energy centralized control system |
| 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 |
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