CN115987814A - Deterministic network computing system for 5GURLLC scene delay - Google Patents

Deterministic network computing system for 5GURLLC scene delay Download PDF

Info

Publication number
CN115987814A
CN115987814A CN202211661652.0A CN202211661652A CN115987814A CN 115987814 A CN115987814 A CN 115987814A CN 202211661652 A CN202211661652 A CN 202211661652A CN 115987814 A CN115987814 A CN 115987814A
Authority
CN
China
Prior art keywords
transmission
terminal
detection
module
deterministic network
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.)
Granted
Application number
CN202211661652.0A
Other languages
Chinese (zh)
Other versions
CN115987814B (en
Inventor
曹世鹏
王立涛
倪莎
余万金
陈杰
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Zhongxin Hanchuang Beijing Technology Co Ltd
Original Assignee
Zhongxin Hanchuang Beijing Technology Co Ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Zhongxin Hanchuang Beijing Technology Co Ltd filed Critical Zhongxin Hanchuang Beijing Technology Co Ltd
Priority to CN202211661652.0A priority Critical patent/CN115987814B/en
Publication of CN115987814A publication Critical patent/CN115987814A/en
Application granted granted Critical
Publication of CN115987814B publication Critical patent/CN115987814B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Abstract

The invention provides a deterministic network computing system for 5GURLLC scene delay, which comprises a 5G deterministic network core frame terminal, a pre-detection terminal, an intermittent monitoring terminal, a management terminal, a network edge node terminal, a control end and a controlled end in an industrial park, wherein the control end is connected with the controlled end through a network; the 5G deterministic network core framework terminal is used for constructing and operating a 5G deterministic network core framework; the network edge node terminal is used for accessing a control end and a controlled end in the industrial park to a 5G deterministic network core framework; the pre-detection terminal is used for pre-detecting all transmission links between the control terminal and the controlled terminal; the intermittent monitoring terminal is used for reading the transmission parameters and the transmission types of all transmission links in each transmission process, comparing the transmission process with a reference process of the same transmission type and generating intermittent monitoring information; and the management terminal is used for generating prompt information and control instructions according to the pre-detection information and the intermittent monitoring information. The invention has the effect of improving the stability of the deterministic network computing system.

Description

Deterministic network computing system for 5GURLLC scene delay
Technical Field
The invention relates to the technical field of low-delay network systems, in particular to a deterministic network computing system for 5GURLLC scene delay.
Background
The fifth Generation Mobile Communication Technology (5 th Generation Mobile Communication Technology, abbreviated as 5G) is a new Generation broadband Mobile Communication Technology with high speed, low latency and large connection features, and the 5G Communication facility is a network infrastructure for implementing man-machine-physical interconnection. URLLC, low-delay and high-reliability communication (ultra-high reliability and ultra-low delay communication), one of three 5G application scenes is an application scene of low-delay service, aims to support service highly sensitive to delay and stability, and can be guaranteed by a network slicing technology. Deterministic network computing is a technology that helps to achieve the goal of controlling and reducing end-to-end delay from "best effort" to "just-in-time, accurate, fast" in IP networks.
Many deterministic network computing systems have been developed, and through extensive search and reference, it is found that prior art deterministic network computing systems such as those disclosed in publications CN114363182A, CN114650566A, EP1084470A1, US07760238B2, and JP2010525484A generally include: a deterministic management plane, a deterministic control plane and a deterministic forwarding plane; the deterministic management surface is used for configuring a management strategy corresponding to the deterministic service; the deterministic control plane is used for calculating a transmission path of deterministic service and allocating network resources according to a management strategy corresponding to the deterministic service configured by the deterministic management plane; and the deterministic forwarding plane is used for forwarding and operating a deterministic service data packet according to a management strategy corresponding to the deterministic service configured by the deterministic management plane and a transmission path and distributed network resources of the deterministic service calculated by the deterministic control plane. Due to the lack of a detection and monitoring mechanism of the deterministic network computing system, the stability of the deterministic network computing system is reduced in a scene of using the deterministic network computing system for a long time.
Disclosure of Invention
The invention aims to provide a deterministic network computing system with 5GURLLC scene delay aiming at the defects of the deterministic network computing system.
The invention adopts the following technical scheme:
a deterministic network computing system for 5GURLLC scene delay comprises a 5G deterministic network core framework terminal, a pre-detection terminal, an intermittent monitoring terminal, a management terminal, a network edge node terminal, a control end and a controlled end in an industrial park;
the 5G deterministic network core framework terminal is used for accessing a 5G communication network, and constructing and operating a 5G deterministic network core framework; the network edge node terminal comprises at least one edge node and is used for accessing a control end and a controlled end in the industrial park to a 5G deterministic network core framework; the control end and the controlled end in the industrial park communicate with each other through a network edge node terminal and a 5G deterministic network core framework terminal; the pre-detection terminal is used for pre-detecting all transmission links between a control end and a controlled end in the industrial park before normal work to generate pre-detection information;
the discontinuous monitoring terminal is used for reading the transmission parameters and the transmission types of all transmission links in each transmission process, comparing the corresponding transmission process with a reference process preset in a database and having the same transmission type according to the corresponding time interval, and generating discontinuous monitoring information; and the management terminal is used for generating prompt information and control instructions according to the pre-detection information and the intermittent monitoring information.
Optionally, the pre-detection terminal includes a pre-detection control module, a pre-detection data acquisition module, a pre-detection result calculation module, and a pre-detection information generation module; the pre-detection control module is used for driving the control end to transmit a preset reference data packet to the controlled end through a preset transmission link; the pre-detection data acquisition module is used for acquiring transmission parameters of the reference data packet in the transmission process; the pre-detection result calculation module is used for calculating a pre-detection result according to the transmission parameters; the pre-detection information generation module is used for generating pre-detection information according to a pre-detection result;
when the pre-detection result calculation module calculates, the following formula is satisfied:
Figure BDA0004014252090000021
D i =max i -min i
wherein Y represents a pre-test result assessment score; t is i The detection total time length of the ith group of data in the reference data packet is transmitted is represented; t is t i The data transmission method comprises the steps of representing the reference total time length of the ith group of data transmitted in a reference data packet; i represents the total group number of the data groups in the reference data packet;
Figure BDA0004014252090000022
indicating a reference average transmission rate of each group of data of the reference data packet; v i The average speed of the ith group of data in the reference data packet in the transmission process is represented; d i The maximum jitter value of the ith group of data in the reference data packet in the transmission process is represented; d i The reference jitter value of the ith group of data in the reference data packet in the transmission process is represented; max of i The maximum delay value of the ith group of data in the reference data packet in the transmission process is represented; min i The minimum delay value of the ith group of data in the reference data packet in the transmission process is represented; k is a radical of t 、k v and kd Respectively representing a duration conversion coefficient, a rate conversion coefficient and a jitter conversion coefficient, which are all set by an administrator according to actual conditions;
when the pre-detection result calculation module outputs the pre-detection result, the following formula is satisfied:
Figure BDA0004014252090000031
wherein R (Y) represents a pre-detection result output function; r (Y) =1 indicates that there is a problem in the transmission link between the corresponding control end and controlled end; r (Y) =0 indicates that there is no problem in the transmission link between the corresponding control end and controlled end; r (Y) = test denotes re-pre-detecting the corresponding transmission link; lambda [ alpha ] 1 and λ2 All of them are result determination thresholds, which are set by the administrator based on experience.
Optionally, the intermittent monitoring terminal includes a transmission link monitoring time interval calculation module, a reference process determination module, a comparison result calculation module, and an intermittent monitoring information generation module; the transmission link monitoring time interval calculation module is used for calculating the monitoring time interval of the corresponding transmission link between the corresponding control end and the controlled end; the reference process selection module is used for selecting and applying a corresponding reference process in the database according to the transmission parameters and the transmission types of the transmission link transmission process; the comparison result calculation module is used for comparing the transmission process of the corresponding transmission link with the reference process to generate comparison result information; the intermittent monitoring information generating module is used for generating intermittent monitoring information according to the comparison result information;
when the transmission link monitoring time interval calculation module calculates, the following equation is satisfied:
Figure BDA0004014252090000032
Figure BDA0004014252090000033
/>
Figure BDA0004014252090000034
wherein J represents a corresponding transmission link monitoring time interval; f. of 1 (v max ) Representing an exponent value selection function based on a maximum transmission rate; v. of max Representing the maximum transmission rate of the corresponding transmission link when the transmission link works normally; a. The 1 and A2 All represent grading rate threshold values, and are set by an administrator according to experience; f. of 2 (N) denotes a symbol selection function based on the number of transmissions; n represents the number of times the corresponding transmission link has been transmitted after the previous monitoring; 10 represents the reference number of hours; k is a radical of N The conversion coefficient of the number of hours is expressed and is set by an administrator according to the actual situation;
after the corresponding transmission link passes through the corresponding monitoring time interval, the reference process selection module selects a reference process in the database according to the transmission parameters and the transmission types of the latest group of data which are transmitted and finished in the corresponding transmission link, and when the comparison result calculation module calculates, the following formula is satisfied:
Figure BDA0004014252090000035
Figure BDA0004014252090000041
Figure BDA0004014252090000042
wherein L represents a rate rating; f 1 Representing an average transmission rate of data of a latest group of transmission completion in a corresponding transmission link; f 2 Represents an average transmission rate of the reference procedure; g 1 Indicating the data capacity of the data which is transmitted in the corresponding transmission link in the latest group; g 2 Indicating the data capacity of the data to be transmitted in the reference process; q represents a jitter rating; h 1 The transmission jitter value of the data which is transmitted in the corresponding transmission link and is finished in the latest group is represented; h 2 Representing a reference jitter value of the transmitted data in the reference process when the data is transmitted; l represents a rate evaluation base number, and q represents a jitter evaluation base number, which are set by an administrator according to experience; c (L)&Q) represents a comparison result function; b is 1 and B2 All the comparison judgment threshold values are set by an administrator according to experience; c (L)&Q)=1 indicates that the comparison result is normal; c (L)&Q) =0 indicates that the comparison result is abnormal.
Optionally, the deterministic network computing system further includes a power management terminal; and the power management terminal is used for detecting the power condition of the commercial power and providing uninterrupted power supply for the deterministic network computing system when the commercial power is unstable or has power failure.
Optionally, the power management terminal includes a utility power monitoring module, a power switching module, and an uninterruptible power supply module; the commercial power monitoring module is used for monitoring commercial power and generating commercial power monitoring information; the power supply switching module is used for generating a switching instruction according to the commercial power monitoring information; the uninterruptible power supply module is used for starting to supply power to the deterministic network computing system or stopping supplying power to the deterministic network computing system according to a switching instruction.
A deterministic network computing method for 5-gurll lc scene latency, which is applied to the above-mentioned deterministic network computing system for 5-gurll lc scene latency, and includes:
s1, accessing a 5G communication network, and constructing and operating a 5G deterministic network core framework;
s2, accessing a control end and a controlled end in the industrial park to a 5G deterministic network core framework;
s3, performing pre-detection on all transmission links between a control end and a controlled end in the industrial park before normal work to generate pre-detection information;
s4, reading the transmission parameters and the transmission types of all transmission links in each transmission process, comparing the corresponding transmission process with a reference process preset in a database and having the same transmission type according to the corresponding time interval, and generating discontinuous monitoring information;
and S5, generating prompt information and a control instruction according to the pre-detection information and the intermittent monitoring information.
The beneficial effects obtained by the invention are as follows:
1. the arrangement of the 5G deterministic network core framework terminal, the pre-detection terminal, the intermittent monitoring terminal, the management terminal, the network edge node terminal, the control end and the controlled end in the industrial park is beneficial to constructing and operating the 5G deterministic network, so that the control delay between the control end and the controlled end in the industrial park is reduced, and the overall communication is more stable and rapid by the pre-detection and intermittent monitoring modes, thereby improving the stability and the efficiency of a deterministic network computing system;
2. the pre-detection control module, the pre-detection data acquisition module, the pre-detection result calculation module and the pre-detection information generation module are arranged to match with a pre-detection result evaluation score algorithm and a comparison result function, so that the accuracy and the calculation efficiency of the pre-detection result evaluation score are improved, and the accuracy of the pre-detection result is improved;
3. the transmission link monitoring time interval calculation module, the reference process judgment module, the comparison result calculation module and the interruption monitoring information generation module are matched with a transmission link monitoring time interval algorithm, so that the adaptability and the accuracy of the transmission link monitoring time interval are improved, the stability of a system is improved, and energy is saved;
4. the commercial power monitoring module, the power switching module and the uninterrupted power supply module are arranged to be matched with a commercial power state index algorithm, so that the monitoring condition of the system on commercial power is favorably improved, the commercial power monitoring information is more accurate, and the stability and the efficiency of the deterministic network computing system are further improved.
For a better understanding of the features and technical content of the present invention, reference is made to the following detailed description of the invention and accompanying drawings, which are provided for purposes of illustration and description only and are not intended to limit the invention.
Drawings
FIG. 1 is a schematic view of the overall structure of the present invention;
FIG. 2 is a schematic diagram illustrating the effect of the deterministic network computing system of the present invention applied to an industrial park;
FIG. 3 is a schematic flow chart of a method of deterministic network computation of 5GURLLC scenario delay in the present invention;
fig. 4 is another overall structure diagram of the present invention.
Detailed Description
The following is a description of embodiments of the present invention with reference to specific embodiments, and those skilled in the art will understand the advantages and effects of the present invention from the disclosure of the present specification. The invention is capable of other and different embodiments and its several details are capable of modification in various other respects, all without departing from the spirit and scope of the present invention. The drawings of the present invention are for illustrative purposes only and are not drawn to scale, and are not intended to be described in advance. The following embodiments will further explain the technical matters related to the present invention in detail, but the disclosure is not intended to limit the scope of the present invention.
The first embodiment.
The embodiment provides a deterministic network computing system with 5GURLLC scene delay. With reference to fig. 1 and fig. 2, a deterministic network computing system for 5-GURLLC scene delay includes a 5G deterministic network core frame terminal, a pre-detection terminal, a discontinuous monitoring terminal, a management terminal, a network edge node terminal, a control terminal and a controlled terminal in an industrial park; the 5G deterministic network core framework terminal is used for accessing a 5G communication network, and constructing and operating a 5G deterministic network core framework; the network edge node terminal comprises at least one edge node and is used for accessing a control end and a controlled end in the industrial park to a 5G deterministic network core framework; the control end and the controlled end in the industrial park communicate with each other through a network edge node terminal and a 5G deterministic network core framework terminal; the pre-detection terminal is used for pre-detecting all transmission links between the control end and the controlled end in the industrial park before normal work to generate pre-detection information; the discontinuous monitoring terminal is used for reading the transmission parameters and the transmission types of all transmission links in each transmission process, comparing the corresponding transmission process with a reference process preset in a database and having the same transmission type according to the corresponding time interval, and generating discontinuous monitoring information; the management terminal is used for generating prompt information and control instructions according to the pre-detection information and the intermittent monitoring information; the prompt information is used for being checked by an administrator; the control instruction is used for adjusting the working state of the corresponding transmission link.
Optionally, the pre-detection terminal includes a pre-detection control module, a pre-detection data acquisition module, a pre-detection result calculation module, and a pre-detection information generation module; the pre-detection control module is used for driving the control end to transmit a preset reference data packet to the controlled end through a preset transmission link; the pre-detection data acquisition module is used for acquiring transmission parameters of the reference data packet in the transmission process; the pre-detection result calculation module is used for calculating a pre-detection result according to the transmission parameters; the pre-detection information generation module is used for generating pre-detection information according to a pre-detection result;
when the pre-detection result calculation module calculates, the following formula is satisfied:
Figure BDA0004014252090000061
D i =max i -min i
wherein Y represents the pre-test result assessment score; t is a unit of i The detection total time length of the ith group of data in the reference data packet is transmitted is represented; t is t i The data transmission method comprises the steps of representing the reference total time length of the ith group of data transmitted in a reference data packet; i represents the total group number of the data groups in the reference data packet;
Figure BDA0004014252090000062
indicating a reference average transmission rate of each group of data of the reference data packet; v i Representing the average speed of the second group data in the reference data packet in the transmission process; d i The maximum jitter value of the ith group of data in the reference data packet in the transmission process is represented; d i The reference jitter value of the ith group of data in the reference data packet in the transmission process is represented; max i The maximum delay value of the ith group of data in the reference data packet in the transmission process is represented; min i The minimum delay value of the ith group of data in the reference data packet in the transmission process is represented; k is a radical of formula t 、k v and kd Respectively representing a time length conversion coefficient, a rate conversion coefficient and a jitter conversion coefficient, all of which are expressed by an administrator according to the actual conditionsSituation setting when T occurs i Case > 1s, k t Is 1.5,k v Is 0.8,k d Is 1.2; when T is not present i In the case of > 1s, then k t Is 0.75,k v Is 0.4,k d Is 0.6;
when the pre-detection result calculation module outputs a pre-detection result, the following expression is satisfied:
Figure BDA0004014252090000071
wherein R (Y) represents a pre-detection result output function; r (Y) =1 indicates that there is a problem in the transmission link between the corresponding control end and the controlled end; r (Y) =0 indicates that there is no problem in the transmission link between the corresponding control end and controlled end; r (Y) = retest means re-pre-detecting the corresponding transmission link; lambda 1 and λ2 All of them are result determination thresholds, which are set by the administrator based on experience.
Optionally, the intermittent monitoring terminal includes a transmission link monitoring time interval calculation module, a reference process determination module, a comparison result calculation module, and an intermittent monitoring information generation module; the transmission link monitoring time interval calculation module is used for calculating the monitoring time interval of the corresponding transmission link between the corresponding control end and the controlled end; the reference process selection module is used for selecting and applying a corresponding reference process in the database according to the transmission parameters and the transmission types of the transmission link transmission process; the comparison result calculation module is used for comparing the transmission process of the corresponding transmission link with the reference process to generate comparison result information; the intermittent monitoring information generating module is used for generating intermittent monitoring information according to the comparison result information;
when the transmission link monitoring time interval calculation module calculates, the following equation is satisfied:
Figure BDA0004014252090000072
Figure BDA0004014252090000073
Figure BDA0004014252090000074
wherein J represents a corresponding transmission link monitoring time interval; f. of 1 (v max ) Representing an exponent value selection function based on a maximum transmission rate; v. of max The maximum transmission rate when the corresponding transmission link works normally is represented; a. The 1 and A2 All represent grading rate threshold values, and are set by an administrator according to experience; f. of 2 (N) denotes a symbol selection function based on the number of transmissions; n represents the transmitted times of the corresponding transmission link after the previous monitoring; 10 represents the reference number of hours; k is a radical of N The conversion coefficient of the number of hours is represented and is set by an administrator according to the actual situation, when N is more than or equal to 500, k is N The value is 0.5, when N is less than 500, k is N The value is 0.8;
after the corresponding transmission link passes through the corresponding monitoring time interval, the reference process selection module selects a reference process in the database according to the transmission parameters and the transmission types of the latest group of data which are completely transmitted in the corresponding transmission link, and when the comparison result calculation module calculates, the following formula is satisfied:
Figure BDA0004014252090000081
Figure BDA0004014252090000082
Figure BDA0004014252090000083
wherein L represents a rate rating; f 1 An average transmission rate representing a most recent set of data transmitted over the corresponding transmission link; f 2 Showing a referenceThe average transmission rate of the process; g 1 Indicating the data capacity of the data which is transmitted in the corresponding transmission link in the latest group; g 2 Indicating the data capacity of the data to be transmitted in the reference process; q represents a jitter rating value; h 1 The transmission jitter value of the data which is transmitted in the corresponding transmission link and is finished in the latest group is represented; h 2 Representing a reference jitter value of the transmitted data in the reference process when the data is transmitted; l represents a rate evaluation base number, and q represents a jitter evaluation base number, which are set by an administrator according to experience; c (L)&Q) represents a comparison result function; b is 1 and B2 All the comparison judgment threshold values are set by an administrator according to experience; c (L)&Q) =1 indicates that the comparison result is normal; c (L)&Q) =0 indicates that the comparison result is abnormal.
Optionally, as shown in fig. 4, the deterministic network computing system further includes a power management terminal; and the power management terminal is used for detecting the power condition of the commercial power and providing uninterrupted power supply for the deterministic network computing system when the commercial power is unstable or has power failure.
Optionally, the power management terminal includes a utility power monitoring module, a power switching module, and an uninterruptible power supply module; the commercial power monitoring module is used for monitoring commercial power and generating commercial power monitoring information; the power supply switching module is used for generating a switching instruction according to the commercial power monitoring information; the uninterruptible power supply module is used for starting to supply power to the deterministic network computing system or stopping supplying power to the deterministic network computing system according to a switching instruction.
A deterministic network computing method for 5-gillc scene delay is applied to the above-mentioned deterministic network computing system for 5-gillc scene delay, and is shown in fig. 3, where the deterministic network computing method includes:
s1, accessing a 5G communication network, and constructing and operating a 5G deterministic network core framework;
s2, accessing a control end and a controlled end in the industrial park to a 5G deterministic network core framework;
s3, performing pre-detection on all transmission links between a control end and a controlled end in the industrial park before normal work to generate pre-detection information;
s4, reading the transmission parameters and the transmission types of all transmission links in each transmission process, comparing the corresponding transmission process with a reference process preset in a database and having the same transmission type according to the corresponding time interval, and generating intermittent monitoring information;
and S5, generating prompt information and a control instruction according to the pre-detection information and the intermittent monitoring information.
Example two.
The embodiment includes the whole content of the first embodiment, and provides a deterministic network computing system for 5GURLLC scene delay, wherein the commercial power monitoring module comprises a commercial power information acquisition sub-module, a commercial power state index calculation sub-module and a commercial power monitoring information generation sub-module; the commercial power information acquisition sub-module is used for acquiring commercial power information of commercial power accessed to the deterministic network computing system; the commercial power state index calculation submodule is used for calculating the commercial power state index of the current commercial power according to commercial power information; the commercial power monitoring information generation submodule is used for generating corresponding commercial power monitoring information according to the commercial power state index;
when the commercial power state index submodule carries out calculation, the following formula is satisfied:
Figure BDA0004014252090000091
Figure BDA0004014252090000092
Figure BDA0004014252090000093
Figure BDA0004014252090000094
wherein Z represents a mains state index; f. of 3 (S 1 ) Representing a first reference window function; s 1 The voltage value of the current commercial power is represented; s. the min A lower boundary value representing a commercial power tolerance voltage range; s max An upper boundary value representing a commercial power tolerance voltage range; s min =220-220*5%=209;S max =220+220*10%=242;f 4 (S 2 ) Representing a second reference window function; s 2 Representing the number of times of instability of the mains supply occurring within three hours before and after the historical time corresponding to the current time; the historical time may be, but is not limited to, the same time of the previous month, the same time of the previous two months, and the same time of the previous three months;
Figure BDA0004014252090000095
the value of the state reference variable is set by an administrator based on experience, and is generally 0.1.
When the commercial power monitoring information generation submodule generates commercial power monitoring information according to the commercial power state index, the following formula is satisfied:
Figure BDA0004014252090000096
wherein judge represents mains monitoring information; judge =1 is commercial power monitoring information indicating an abnormal state; judge =0 is the commercial power monitoring information indicating the normal state; when judge =1, the power supply switching module generates a switching instruction for driving the uninterruptible power supply module to continuously work; and when judge =0, the power supply switching module generates a switching instruction for driving the uninterruptible power supply module to keep standby.
The disclosure is only a preferred embodiment of the invention, and is not intended to limit the scope of the invention, so that all equivalent technical changes made by using the contents of the specification and the drawings are included in the scope of the invention, and further, the elements thereof can be updated as the technology advances.

Claims (6)

1. A deterministic network computing system for 5GURLLC scene delay is characterized by comprising a 5G deterministic network core frame terminal, a pre-detection terminal, a discontinuous monitoring terminal, a management terminal, a network edge node terminal, a control end and a controlled end in an industrial park;
the 5G deterministic network core framework terminal is used for accessing a 5G communication network, and constructing and operating a 5G deterministic network core framework; the network edge node terminal comprises at least one edge node and is used for accessing a control end and a controlled end in the industrial park to a 5G deterministic network core framework; the control end and the controlled end in the industrial park communicate with each other through a network edge node terminal and a 5G deterministic network core frame terminal; the pre-detection terminal is used for pre-detecting all transmission links between a control end and a controlled end in the industrial park before normal work to generate pre-detection information;
the discontinuous monitoring terminal is used for reading the transmission parameters and the transmission types of all transmission links in each transmission process, comparing the corresponding transmission process with a reference process preset in a database and having the same transmission type according to the corresponding time interval, and generating discontinuous monitoring information; and the management terminal is used for generating prompt information and control instructions according to the pre-detection information and the intermittent monitoring information.
2. The deterministic network computing system of 5GURLLC scenario delay of claim 1, wherein the pre-detection terminal comprises a pre-detection control module, a pre-detection data acquisition module, a pre-detection result calculation module and a pre-detection information generation module; the pre-detection control module is used for driving the control end to transmit a preset reference data packet to the controlled end through a preset transmission link; the pre-detection data acquisition module is used for acquiring transmission parameters of the reference data packet in the transmission process; the pre-detection result calculation module is used for calculating a pre-detection result according to the transmission parameters; the pre-detection information generation module is used for generating pre-detection information according to a pre-detection result;
when the pre-detection result calculation module calculates, the following formula is satisfied:
Figure FDA0004014252080000011
D i =max i -min i
wherein-represents the pre-test result assessment score; t is i The detection total time length of the ith group of data in the reference data packet is transmitted is represented; t is t i The data transmission method comprises the steps of representing the reference total time length of the ith group of data transmitted in a reference data packet; i represents the total group number of the data groups in the reference data packet;
Figure FDA0004014252080000012
indicating a reference average transmission rate of each group of data of the reference data packet; v i Representing the average speed of the second group data in the reference data packet in the transmission process; d i The maximum jitter value of the ith group of data in the reference data packet in the transmission process is represented; d i The reference jitter value of the ith group of data in the reference data packet in the transmission process is represented; max i The maximum delay value of the ith group of data in the reference data packet in the transmission process is represented; min i The minimum delay value of the ith group of data in the reference data packet in the transmission process is represented; k is a radical of formula t 、k v and kd Respectively representing a time length conversion coefficient, a rate conversion coefficient and a jitter conversion coefficient, which are all set by an administrator according to actual conditions;
when the pre-detection result calculation module outputs the pre-detection result, the following formula is satisfied:
Figure FDA0004014252080000021
wherein R (Y) represents a pre-detection result output function; r (Y) =1 indicates that there is a problem in the transmission link between the corresponding control end and controlled end; r (Y) =0 indicates that there is no problem in the transmission link between the corresponding control end and the controlled end; r (Y) = retest means re-pre-detecting the corresponding transmission link; lambda [ alpha ] 1 and λ2 All of them are result determination thresholds, which are set by the administrator based on experience.
3. The deterministic network computing system of 5GURLLC scenario delay of claim 2, wherein the intermittent monitoring terminal comprises a transmission link monitoring time interval calculation module, a reference process determination module, a comparison result calculation module and an intermittent monitoring information generation module; the transmission link monitoring time interval calculation module is used for calculating the monitoring time interval of the corresponding transmission link between the corresponding control end and the controlled end; the reference process selection module is used for selecting and applying a corresponding reference process in the database according to the transmission parameters and the transmission types of the transmission link transmission process; the comparison result calculation module is used for comparing the transmission process of the corresponding transmission link with the reference process to generate comparison result information; the intermittent monitoring information generating module is used for generating intermittent monitoring information according to the comparison result information;
when the transmission link monitoring time interval calculation module calculates, the following equation is satisfied:
Figure FDA0004014252080000022
Figure FDA0004014252080000023
Figure FDA0004014252080000024
wherein J represents a corresponding transmission link monitoring time interval; f. of 1 (v max ) Representing an exponent value selection function based on a maximum transmission rate; v. of max Representing the maximum transmission rate of the corresponding transmission link when the transmission link works normally; a. The 1 and A2 All represent grading rate threshold values, and are set by an administrator according to actual conditions; f. of 2 (N) denotes a symbol selection function based on the number of transmissions; n represents the number of times the corresponding transmission link has been transmitted after the previous monitoring; 10 represents the reference number of hours; k is a radical of formula N To representThe hour number conversion coefficient is set by an administrator according to actual conditions;
after the corresponding transmission link passes through the corresponding monitoring time interval, the reference process selection module selects a reference process in the database according to the transmission parameters and the transmission types of the latest group of data which are transmitted and finished in the corresponding transmission link, and when the comparison result calculation module calculates, the following formula is satisfied:
Figure FDA0004014252080000031
Figure FDA0004014252080000032
Figure FDA0004014252080000033
wherein L represents a rate rating; f 1 Representing an average transmission rate of data of a latest group of transmission completion in a corresponding transmission link; f 2 Represents an average transmission rate of the reference procedure; g 1 Indicating the data capacity of the data which is transmitted in the corresponding transmission link in the latest group; g 2 Indicating the data capacity of the data to be transmitted in the reference process; q represents a jitter rating value; h 1 The transmission jitter value of the data which is transmitted in the corresponding transmission link and is finished in the latest group is represented; h 2 A reference jitter value representing the transmitted data in the reference process when transmitting; l represents a rate evaluation base number, and q represents a jitter evaluation base number, which are set by an administrator according to experience; c (L)&Q) represents a comparison result function; b 1 and B2 All the comparison judgment thresholds are set by an administrator according to experience; c (L)&Q) =1 means that the comparison result is normal; c (L)&Q) =0 indicates that the comparison result is abnormal.
4. The deterministic network computing system of 5GURLLC scenario latency of claim 3, wherein the deterministic network computing system further comprises a power management terminal; and the power management terminal is used for detecting the power condition of the commercial power and providing uninterrupted power supply for the deterministic network computing system when the commercial power is unstable or has power failure.
5. The deterministic network computing system of 5GURLLC scenario delay of claim 4, wherein the power management terminal comprises a utility monitoring module, a power switching module, and an uninterruptible power supply module; the commercial power monitoring module is used for monitoring commercial power and generating commercial power monitoring information; the power supply switching module is used for generating a switching instruction according to the commercial power monitoring information; the uninterruptible power supply module is used for starting to supply power to the deterministic network computing system or stopping supplying power to the deterministic network computing system according to a switching instruction.
6. A deterministic network computation method of 5-GURLLC scene delay applied to the deterministic network computation system of 5-GURLLC scene delay as claimed in claim 5, characterized in that the deterministic network computation method comprises:
s1, accessing a 5G communication network, and constructing and operating a 5G deterministic network core framework;
s2, accessing a control end and a controlled end in the industrial park to a 5G deterministic network core framework;
s3, performing pre-detection on all transmission links between a control end and a controlled end in the industrial park before normal work to generate pre-detection information;
s4, reading the transmission parameters and the transmission types of all transmission links in each transmission process, comparing the corresponding transmission process with a reference process preset in a database and having the same transmission type according to the corresponding time interval, and generating intermittent monitoring information;
and S5, generating prompt information and a control instruction according to the pre-detection information and the intermittent monitoring information.
CN202211661652.0A 2022-12-23 2022-12-23 Deterministic network computing system for 5GURLLC scene delay Active CN115987814B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202211661652.0A CN115987814B (en) 2022-12-23 2022-12-23 Deterministic network computing system for 5GURLLC scene delay

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202211661652.0A CN115987814B (en) 2022-12-23 2022-12-23 Deterministic network computing system for 5GURLLC scene delay

Publications (2)

Publication Number Publication Date
CN115987814A true CN115987814A (en) 2023-04-18
CN115987814B CN115987814B (en) 2023-10-31

Family

ID=85964241

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202211661652.0A Active CN115987814B (en) 2022-12-23 2022-12-23 Deterministic network computing system for 5GURLLC scene delay

Country Status (1)

Country Link
CN (1) CN115987814B (en)

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20200221346A1 (en) * 2019-01-08 2020-07-09 Samsung Electronics Co., Ltd. Management device and method for controlling end-to-end network in wireless communication system
CN113759816A (en) * 2021-08-20 2021-12-07 昆明理工大学 Monitoring control system
CN114007240A (en) * 2021-09-26 2022-02-01 中津沛科建设股份有限公司 Wireless network fault monitoring system and monitoring method
CN114268537A (en) * 2021-11-26 2022-04-01 华中科技大学 Network slice generation and dynamic configuration system and method for deterministic network
CN114363182A (en) * 2020-09-29 2022-04-15 ***通信有限公司研究院 Deterministic network system and deterministic service transmission method
CN114465362A (en) * 2022-02-17 2022-05-10 国网福建省电力有限公司石狮市供电公司 Intelligent monitoring system and method for industrial users
CN114928614A (en) * 2022-05-16 2022-08-19 济南大学 Deterministic network load balancing method and system based on SDN

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20200221346A1 (en) * 2019-01-08 2020-07-09 Samsung Electronics Co., Ltd. Management device and method for controlling end-to-end network in wireless communication system
CN114363182A (en) * 2020-09-29 2022-04-15 ***通信有限公司研究院 Deterministic network system and deterministic service transmission method
CN113759816A (en) * 2021-08-20 2021-12-07 昆明理工大学 Monitoring control system
CN114007240A (en) * 2021-09-26 2022-02-01 中津沛科建设股份有限公司 Wireless network fault monitoring system and monitoring method
CN114268537A (en) * 2021-11-26 2022-04-01 华中科技大学 Network slice generation and dynamic configuration system and method for deterministic network
CN114465362A (en) * 2022-02-17 2022-05-10 国网福建省电力有限公司石狮市供电公司 Intelligent monitoring system and method for industrial users
CN114928614A (en) * 2022-05-16 2022-08-19 济南大学 Deterministic network load balancing method and system based on SDN

Also Published As

Publication number Publication date
CN115987814B (en) 2023-10-31

Similar Documents

Publication Publication Date Title
US11758415B2 (en) Method and apparatus of sharing information related to status
EP3182766A1 (en) Hybrid monitoring-sleeping method of wireless sensor and wireless sensor
CN109066726B (en) Frequency safety emergency coordination optimization control method integrating multiple measures
US11379937B2 (en) Power management server and power management method
CN114726740B (en) Method and system for identifying platform area topology and intelligent fusion terminal
CN114285058B (en) Parameter setting method of energy storage system and energy storage system
WO2022024708A1 (en) Electric power management server, and electric power management method
CN117332215B (en) High-low voltage power distribution cabinet abnormal fault information remote monitoring system
CN110445171A (en) A kind of active power and frequency control method and system based on the soft lineal system of marine wind electric field
CN115987814A (en) Deterministic network computing system for 5GURLLC scene delay
WO2016189756A1 (en) Electric power generation control device, control device, control method and recording medium
US20220344940A1 (en) Power management server and power management method
CN109120637B (en) Network security supervision platform and method
CN117792991B (en) Automatic switching method for router links and multi-link router
CN213602414U (en) Multi-point constant-current power supply system of underwater rasterized information network
KR102480440B1 (en) Management system of solar power plant
CN113504976B (en) Scheduling method, system, terminal equipment and storage medium for software-defined network architecture
CN117350565A (en) Method for predicting running state information interaction reliability index between new energy stations
CN117411003A (en) Reliability and vulnerability analysis method and system for power transmission system
CN117792991A (en) Automatic switching method for router links and multi-link router
CN116916166A (en) Telemetry terminal based on AI image analysis
JP2023108515A (en) Power system and control method
CN117676685A (en) Power supply state monitoring and early warning system and method for 5G communication equipment
CN117293913A (en) Energy storage device control method and device, intelligent ammeter and readable storage medium
CN117833236A (en) Intelligent power distribution network control method based on digital twin technology

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