CN110417770A - Wireless remote data live transmission method based on certainty scheduling of resource - Google Patents
Wireless remote data live transmission method based on certainty scheduling of resource Download PDFInfo
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Abstract
The invention discloses a kind of wireless remote data live transmission methods based on certainty scheduling of resource.It is characterized in that: step 1, for sampling technical process data beat time stamp after transmitted wirelessly;Step 2, the delay value of technical process data and technical process data is obtained by Cloud Server, and estimates network communication quality;Step 3, the adaptive delay value for adjusting the technical process data that Cloud Server obtains, it is ensured that Cloud Server control can be called with decision-making process with batch sampled data simultaneously.Present invention accomplishes controls on Cloud Server and decision-making process to wireless industrial process data characteristic time processing requirement really, realizes the requirement of real-time of industrial Internet of Things;And complete and obtained with the certainty for criticizing all data, the reliability requirement of industrial Internet of Things is realized, to realize that the long-range cloud control of industrial processes provides technical foundation with decision and deployment based on industrial Internet of Things.
Description
Technical field
The present invention is using industrial Internet of Things as research background, specifically a kind of radio remote based on certainty scheduling of resource
Number of passes is according to live transmission method.
Background technique
Wireless communication is because its radio characteristics bring is mobile and deployment advantage, so that actual production process is not empty by operation
Between, the limitations such as operating environment be possibly realized, to become the important component of industrial Internet of Things.With intellectualization of factories degree
Step up, modern industry is using existing high performance computing technique, virtual emulation application technology etc. gradually to cloud
The information-based industry direction of application is developed, the information system management for production process, so that based on the analysis of mass production data
The business enterprise production mode is gradually that more multiple enterprises receive and use.But it is brought for real-time property more while using data
Therefore harsh requirement is badly in need of a kind of wireless remote data transmission method for meeting industrial certainty real-time requirement.
In industrial processes, based on the requirement of periodic Industry Control, the real-time of wireless network transmissions refers generally to lead to
The data for crossing transmission of network must be transmitted to destination from source within the predetermined time, that is, require determining that the moment can be obtained
Obtain required data.Current cloud control requires equally spaced Real time data acquisition with decision-making process, facilitates same batch of data
Secondary centralized processing.If the time interval gap that same batch of sampled data reaches cloud is larger, and cannot achieve accurate synchronization, then cloud
End control and the data of decision-making process access will not bring control instruction and decision deviation even wrong in dimension at the same time
Accidentally the problems such as.However, due to characteristics such as the fading channel of wireless transmission and network instabilities, cause propagation delay time fluctuation compared with
Greatly, therefore, for needing the industrial Internet of Things of a large amount of industrial process in real-time data, acquisition determines time delay, equally spaced
Real time data is more difficult, and unstable channel and network state are that the cloud decision-making process of real time data at equal intervals to be gone to propose
Bigger challenge can not effectively support the long-range processing of data.
However, it is not perfect for the industrial real-time solution under wireless environment at present, in conjunction with cloud computing and big number
Become new research hotspot according to the wireless remote data transmission method under environment, particularly with need a large amount of computing resources, can not
The local modern industry completed, rely on mass data, since the limitation of computing resource spatial position is so that wireless remote transmission side
The necessity of formula significantly improves, but wireless network fluctuates big, unstable feature and exists always, for control, decision link
Positioned at the production process of remote cloud server, the mode of wireless transmission will propose the industrial real-time that data are transmitted higher
It is required that the reaching on the time of data, at equal intervals obtain be particularly important.
Summary of the invention
If for larger with batch time interval gap in sampled data arrival cloud in industrial Internet of Things, and cannot achieve
It is precisely synchronous, then the data of cloud control and decision-making process access will not in dimension at the same time, bring control instruction and
The problems such as decision deviation is even wrong, the invention proposes a kind of wireless remote datas based on certainty scheduling of resource to pass in real time
Transmission method, technical solution are as follows:
A kind of wireless remote data live transmission method based on certainty scheduling of resource, comprising the following steps:
Step 1: for sampling technical process data beat time stamp after transmitted wirelessly, the specific steps are as follows:
1) industry spot periodically collection technology process data in real time, and by the technical process data and present sample
Time is sent to wireless remote transmission terminal;
2) wireless remote transmitting device persistently monitors specified process data port, the work that real-time reception industry spot is sent
Skill process data and present sample time, when being handled by increasing after being packaged the technical process data and present sample time
Stamp, and data packet time stamp is established, data packet time stamp is then wirelessly sent to Cloud Server;
Step 2: the delay value of technical process data and technical process data is obtained by Cloud Server, and estimates network
Communication quality, the specific steps are as follows:
1) wireless remote transmission terminal and Cloud Server establish Virtual Private Network channel and carry out data exchange, and by technique
Process data, current acquisition time and the data packet time stamp obtained by wireless remote transmitting device are uploaded to Cloud Server;
2) it calls the Packet analyzing program in function library to parse Cloud Server in Cloud Server memory each of to receive
Present sample time and data packet time stamp in data packet, and record the data in data packet reach Cloud Server when obtain when
Between stab;
3) database for connecting Cloud Server, from the l item extracted in the database of Cloud Server in the same production cycle
Historical data, and the l historical data is handled, the network transmission delay value of every historical data is then obtained,
The network transmission delay value delayk-iCalculation formula it is as follows:
delayk-i=c_timek-i-pi_timek-i
Wherein, delayk-iIndicate that the network transmission delay value of kth-i data, k indicate latest data, i.e. current time
Sampled data, i is indicated and the number of data of latest data apart, i=1, and 2,3 ... l, l expression are extracted same from Cloud Server
The item number of historical data in a production cycle, k-i indicate the sampled data away from i sampling instant before current time, are denoted as the
K-i data;c_timek-iIndicate the timestamp obtained when kth-i data reaches Cloud Server;pi_timek-iIndicate kth-
The packet time of i data stabs;
4) target maximum network transmission delay value is calculated, the target maximum network transmission delay value is delaymax=max
{{delayk-i| i=1,2,3 ... l, delaydrop、delaythrought, wherein delayk-iIndicate the net of kth-i data
Network transmission delay value, k indicate that latest data, i.e. current time sampled data, i indicate and the number of data of latest data apart, i
=1,2,3 ... l, l indicate from the item number of the historical data in the same production cycle that Cloud Server extracts, and k-i expression is away from working as
The sampled data of i sampling instant before the preceding moment is denoted as kth-i data;delaydropIn the case of the maximum packet loss of expression
Network transmission delay value, delaythroughtIndicate the network transmission delay value in the case of minimal network handling capacity;
5) by network throughput, handling capacity change rate, circuit time delay, delay variation, number of dropped packets, packet loss, wrong packet number,
Late duration network parameter assesses current network communication quality.
Step 3: the delay value for the technical process data that adaptive adjustment Cloud Server obtains, it is ensured that Cloud Server control
It can call simultaneously with decision-making process with batch sampled data.
Specific step is as follows for the delay value for the technical process data that the adaptive adjustment Cloud Server obtains:
If 1) worst in l network communication quality corresponding to better than l historical data of current network communication quality
That network communication quality, then with delaymaxThe target maximum delay of data is received as this;If current network communication matter
Amount is inferior to that network communication quality worst in l network communication quality corresponding to l historical data, then illustrates next
Data can not reach on time, be not necessarily to computation delay at this time, directly provide discreet value instead of true value by Cloud Server simulation model;
2) as target maximum network transmission delay value delaymaxAfter determination, calculates current processes data and reach cloud
The time Δ delay waited in memory after the server memory of end, required for control decision routine call beforek-i, described
Current processes data after reaching cloud server memory, before control decision routine call required in memory etc.
To time Δ delayk-iCalculation formula it is as follows:
Δdelayk-i=delaymax-delayk-i
Wherein, Δ delayk-iIndicate the time that kth-i data needs to wait, i is indicated and the data of latest data apart
Item number, i=1,2,3 ... l, l indicate the item number from the historical data in the same production cycle that Cloud Server extracts;
delaymaxIndicate target maximum network transmission delay value;delayk-iIndicate the Network Transmission Delays value of kth-i data.
The beneficial effects of the present invention are:
Wireless remote data live transmission method proposed by the present invention based on certainty scheduling of resource, by being accurately arranged
The value range of industrial process data delay is completed under the premise of guaranteeing that industrial process data certainty time-triggered protocol requires
Certainty with batch all data obtains and the detections such as packet loss incorrect order, more conducively realizes the reliability requirement of industrial Internet of Things.
Detailed description of the invention
Fig. 1 is the flow chart of the wireless remote data live transmission method based on certainty scheduling of resource.
Fig. 2 is a typical industrial network architecture of Internet of things figure.
Fig. 3 is the schematic diagram of the wireless remote data live transmission method based on certainty scheduling of resource, schemes (a) in Fig. 3
Actual conditions figure when transmitting for wireless remote data, figure (b) are ideal situation figure when wireless remote data transmits, and are schemed (c)
Delay operation figure when for wireless remote data transmission, figure (d) are between equal after delay value is added when wireless remote data transmits
Every reception condition figure.
Specific embodiment
Here is that technical solution of the present invention is described in detail in conjunction with attached drawing.
As shown in flow chart of the Fig. 1 based on the wireless remote data live transmission method of certainty scheduling of resource, Yi Zhongji
In certainty scheduling of resource wireless remote data live transmission method the following steps are included:
As shown in Fig. 2 mono- typical industrial network architecture of Internet of things figure, step 1: beaten for the technical process data of sampling
It is transmitted wirelessly after time stamp, the specific steps are as follows: 1) the industry spot production data acquisition equipment Siemens S7- of the bottom
300PLC periodicity collection technology process data such as voltage value, current value etc., and by collected most up-to-date techniques process data with
Present sample time corresponding timestamp p_timekSend jointly to wireless remote transmitting device;2) router, raspberry pie conduct
Wireless remote transmitting device persistently monitors specified process data port, the technical process data that real-time reception industry spot is sent
Timestamp p_time corresponding with the present sample timek, by by the technical process data time corresponding with the present sample time
Stab p_timekIncrease processing time stamp after packing, and establishes data packet time stamp pi_timek, then by data packet time stamp pi_timek
It is wirelessly sent to Cloud Server.
Step 2: the delay value of technical process data and technical process data is obtained by Cloud Server, and estimates network
Communication quality, the specific steps are as follows:
1) wireless remote transmission terminal and Cloud Server establish Virtual Private Network (Virtual Private Network,
VPN) channel carries out data exchange, and by the collected technical process data of PLC, the corresponding timestamp p_ of current acquisition time
timekAnd the data packet time stamp pi_time obtained by router, raspberry piekCloud Server is uploaded to be handled;
2) it calls the Packet analyzing program in function library to parse Cloud Server in Cloud Server memory each of to receive
The corresponding timestamp p_time of present sample time corresponding timestamp in data packetkWith data packet time stamp pi_timek, and remember
Data in record data packet reach the timestamp c_time obtained when Cloud Serverk;
3) database for connecting Cloud Server, from the l item extracted in the database of Cloud Server in the same production cycle
Historical data, and l above-mentioned historical data is handled, then obtain the network transmission delay value of every historical data
delayk-i, network transmission delay value delayk-iCalculation formula are as follows:
delayk-i=c_timek-i-pi_timek-i
Wherein, delayk-iIndicate that the network transmission delay value of kth-i data, k indicate latest data, i.e. current time
Sampled data, i is indicated and the number of data of latest data apart, i=1, and 2,3 ... l, l expression are extracted same from Cloud Server
The item number of historical data in a production cycle, k-i indicate the sampled data away from i sampling instant before current time, are denoted as the
K-i data;c_timek-iIndicate the timestamp obtained when kth-i data reaches Cloud Server;pi_timek-iIndicate kth-
The packet time of i data stabs;
4) target maximum network transmission delay value delay is calculatedmax, target maximum network transmission delay value delaymax=
max{{delayk-i| i=1,2,3 ... l, delaydrop、delaythrought, wherein delayk-iIndicate kth-i data
Network transmission delay value, k indicate that latest data, i.e. current time sampled data, i indicate and the data strip of latest data apart
Number, i=1,2,3 ... l, l indicate that the item number from the historical data in the same production cycle that Cloud Server extracts, k-i indicate
Sampled data away from i sampling instant before current time is denoted as kth-i data;delaydropIndicate maximum packet loss situation
Under network transmission delay value, delaythroughtIndicate the network transmission delay value in the case of minimal network handling capacity;
5) by network throughput, handling capacity change rate, circuit time delay, delay variation, number of dropped packets, packet loss, wrong packet number,
Late duration network parameter assesses current network communication quality.
In the transmission process of above-mentioned steps two, from S7-300PLC to router, the wireless transmission time of raspberry pie it is shorter
And it is always equal, therefore this section of delay time can be considered as a minimum and equal constant value, it is calculating from S7-300PLC
To Cloud Server delay time value when, from S7-300PLC reach Cloud Server memory transmission delay and from S7-300PLC to
Up to router, raspberry pie transmission delay in all include this constant value, therefore calculate from S7-300PLC reach Cloud Server it is whole
A wireless network transmissions delay value delayk-iWhen, timestamp c_timekWith timestamp pi_timekMake that this constant value can be offset when difference,
So from S7-300PLC to router, the wireless transmission delay value of raspberry pie it is negligible, send to cloud from router, raspberry
Server can obtain the timestamp c_time for reaching Cloud Server when being wirelessly transferredk, timestamp pi_timekWith timestamp c_
timekBetween interval be the key that it is whether punctual for data, whether can obtain at equal intervals, only make every data from road
It is sent in this delay time section of Cloud Server by device, raspberry and meets requirement of real-time, it could be Cloud Server received adjacent two
Time interval between data is equal, is also just able to satisfy the acquisition of equally spaced real time data, due to believing during wireless transmission
Road decline and unstability, the received data of Cloud Server with and its adjacent data time interval always fluctuate, it is unequal,
It is very unfavorable for needing the Industry Control for obtaining data at equal intervals, decision process in Cloud Server, it is therefore desirable in cloud
Server is reasonably delayed to data after receiving data, so that data can be under conditions of meeting industrial real-time
Equally spaced acquisition.
Step 3: the delay value for the industrial field data that adaptive adjustment Cloud Server obtains, it is ensured that Cloud Server control
It can call simultaneously with decision-making process with batch sampled data, the wireless remote data such as Fig. 3 based on certainty scheduling of resource passes in real time
Shown in the schematic diagram of transmission method, the desired transmission situation of data is when transmitting from S7-300PLC to Cloud Server, and data are from S7-
The transmission of 300PLC constant duration, the control of Cloud Server, decision-making process energy constant duration receive data, such as Fig. 3
(b) shown in;But shown in actual conditions such as Fig. 3 (a), since wireless network is unstable, fluctuates big feature, between S7-300PLC etc.
Every transmission data, but time interval when data reach Cloud Server between data is unequal, it is therefore desirable to using Fig. 3 (c)
Processing mode obtains the delay value of industrial field data, if the specific steps of which are as follows: 1) by adaptively adjustment Cloud Server
It is worst in l network communication quality corresponding to the l historical data that current network communication quality is extracted better than above-mentioned steps
That network communication quality, then with delaymaxThe target maximum delay of data is received as this;If current network communication
Quality is inferior to that network communication quality worst in l network communication quality corresponding to l historical data, then illustrates next
Data can not reach on time, be not necessarily to computation delay at this time, directly provide discreet value by Cloud Server simulation model and replace really
Value;2) as target maximum network transmission delay value delaymaxAfter determination, calculates current industrial process data and reach cloud service
The time Δ delay waited in memory after device memory, required for control decision routine call beforek-i, calculation formula is such as
Under:
Δdelayk-i=delaymax-delayk-i
Wherein, Δ delayk-iIndicate the time that kth-i data needs to wait, i is indicated and the data of latest data apart
Item number, i=1,2,3 ... l, l indicate the item number from the historical data in the same production cycle that Cloud Server extracts;
delaymaxIndicate target maximum network transmission delay value;delayk-iIndicate the Network Transmission Delays value of kth-i data.Pass through
After above-mentioned adaptive adjustment, industrial field data is from the equally spaced transmission of PLC, on Cloud Server after of short duration delay,
It can reach the effect that time interval is equal between data two-by-two, as shown in Fig. 3 (d).
Claims (2)
1. a kind of wireless remote data live transmission method based on certainty scheduling of resource, which is characterized in that including following step
It is rapid:
Step 1: for sampling technical process data beat time stamp after transmitted wirelessly, the specific steps are as follows:
1) industry spot periodically collection technology process data in real time, and by the technical process data and present sample time
It is sent to wireless remote transmission terminal;
2) wireless remote transmitting device persistently monitors specified process data port, the work that industry spot described in real-time reception is sent
Skill process data and present sample time, when being handled by increasing after being packaged the technical process data and present sample time
Stamp, and data packet time stamp is established, the data packet time stamp is then wirelessly sent to Cloud Server;
Step 2: the delay value of technical process data and technical process data is obtained by Cloud Server, and estimates network communication
Quality, the specific steps are as follows:
1) wireless remote transmission terminal and Cloud Server establish Virtual Private Network channel and carry out data exchange, and by the technique
Process data, current acquisition time and the data packet time stamp obtained by wireless remote transmitting device are uploaded to Cloud Server;
2) the Packet analyzing program in function library is called to parse each data that Cloud Server receives in Cloud Server memory
Present sample time and data packet time stamp in packet, and record the data in the data packet reach Cloud Server when obtain when
Between stab;
3) database for connecting Cloud Server, from the l history extracted in the database of Cloud Server in the same production cycle
Data, and the l historical data is handled, the network transmission delay value of every historical data is then obtained, it is described
Network transmission delay value delayk-iCalculation formula it is as follows:
delayk-i=c_timek-i-pi_timek-i
Wherein, delayk-iIndicate that the network transmission delay value of kth-i data, k indicate latest data, i.e. current time samples
Data, i are indicated and the number of data of latest data apart, i=1, the same life that 2,3 ... l, l expression are extracted from Cloud Server
The item number of the historical data in the period is produced, k-i indicates the sampled data away from i sampling instant before current time, is denoted as kth-i item
Data;c_timek-iIndicate the timestamp obtained when kth-i data reaches Cloud Server;pi_timek-iIndicate kth-i item number
According to packet time stamp;
4) target maximum network transmission delay value is calculated, the target maximum network transmission delay value is delaymax=max
{{delayk-i| i=1,2,3 ... l, delaydrop、delaythrought, wherein delayk-iIndicate the net of kth-i data
Network transmission delay value, k indicate that latest data, i.e. current time sampled data, i indicate and the number of data of latest data apart, i
=1,2,3 ... l, l indicate from the item number of the historical data in the same production cycle that Cloud Server extracts, and k-i expression is away from working as
The sampled data of i sampling instant before the preceding moment is denoted as kth-i data;delaydropIn the case of the maximum packet loss of expression
Network transmission delay value, delaythroughtIndicate the network transmission delay value in the case of minimal network handling capacity;
5) pass through network throughput, handling capacity change rate, circuit time delay, delay variation, number of dropped packets, packet loss, wrong packet number, be late
Duration network parameter assesses current network communication quality;
Step 3: the delay value for the technical process data that adaptively adjustment Cloud Server obtains, it is ensured that Cloud Server controls and determines
Plan program can be called simultaneously with batch sampled data.
2. a kind of wireless remote data live transmission method based on certainty scheduling of resource according to claim 1,
The specific step of the delay value for the technical process data that the adaptive adjustment Cloud Server in step three described in being characterized in that obtains
It is rapid as follows:
If 1) that worst in l network communication quality corresponding to better than l historical data of current network communication quality
Network communication quality, then with delaymaxThe target maximum delay of data is received as this;If current network communication quality is bad
That worst network communication quality, then illustrate next data in the l network communication quality corresponding to l historical data
It can not reach on time, be not necessarily to computation delay at this time, discreet value is directly provided instead of true value by Cloud Server simulation model;
2) as target maximum network transmission delay value delaymaxAfter determination, calculates current processes data and reach cloud clothes
The time Δ delay waited in memory after business device memory, required for control decision routine call beforek-i, described is current
Technical process data after reach cloud server memory, before control decision routine call required for wait in memory
Time Δ delayk-iCalculation formula it is as follows:
Δdelayk-i=delaymax-delayk-i
Wherein, Δ delayk-iIndicate the time that kth-i data needs to wait, i is indicated and the data strip of latest data apart
Number, i=1,2,3 ... l, l indicate the item number from the historical data in the same production cycle that Cloud Server extracts;delaymax
Indicate target maximum network transmission delay value;delayk-iIndicate the Network Transmission Delays value of kth-i data.
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Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111787570A (en) * | 2020-06-19 | 2020-10-16 | 深圳市有方科技股份有限公司 | Data transmission method and device of Internet of things equipment and computer equipment |
CN113904960A (en) * | 2021-12-06 | 2022-01-07 | 上海金仕达软件科技有限公司 | Method, device, system and storage medium for measuring data transmission delay |
CN115793749A (en) * | 2022-12-05 | 2023-03-14 | 河北泽润信息科技有限公司 | Intelligent greenhouse environment control system and method based on cloud computing |
Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101222288A (en) * | 2008-02-01 | 2008-07-16 | 华为技术有限公司 | IP network transmission method, system and equipment automatically adapting network jitter |
CN105791034A (en) * | 2016-05-15 | 2016-07-20 | 北京联合大学 | Browse type service perception analysis method |
CN107103407A (en) * | 2017-03-29 | 2017-08-29 | 国网上海市电力公司 | A kind of power transmission cable based on Internet of Things installs management system |
-
2019
- 2019-07-25 CN CN201910675318.2A patent/CN110417770B/en active Active
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101222288A (en) * | 2008-02-01 | 2008-07-16 | 华为技术有限公司 | IP network transmission method, system and equipment automatically adapting network jitter |
CN105791034A (en) * | 2016-05-15 | 2016-07-20 | 北京联合大学 | Browse type service perception analysis method |
CN107103407A (en) * | 2017-03-29 | 2017-08-29 | 国网上海市电力公司 | A kind of power transmission cable based on Internet of Things installs management system |
Non-Patent Citations (1)
Title |
---|
刘川等: "支撑电力业务规划的软件定义网络控制器时延性能分析", 《电力系统自动化》 * |
Cited By (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111787570A (en) * | 2020-06-19 | 2020-10-16 | 深圳市有方科技股份有限公司 | Data transmission method and device of Internet of things equipment and computer equipment |
CN111787570B (en) * | 2020-06-19 | 2023-11-03 | 深圳市有方科技股份有限公司 | Data transmission method and device of Internet of things equipment and computer equipment |
CN113904960A (en) * | 2021-12-06 | 2022-01-07 | 上海金仕达软件科技有限公司 | Method, device, system and storage medium for measuring data transmission delay |
CN113904960B (en) * | 2021-12-06 | 2022-03-15 | 上海金仕达软件科技有限公司 | Method, device, system and storage medium for measuring data transmission delay |
CN115793749A (en) * | 2022-12-05 | 2023-03-14 | 河北泽润信息科技有限公司 | Intelligent greenhouse environment control system and method based on cloud computing |
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