CN115987814B - Deterministic network computing system for 5GURLLC scene delay - Google Patents
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Abstract
The invention provides a 5G deterministic network computing system for scene delay of RLLC, 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 terminal and a controlled terminal in an industrial park; 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 connecting a control end and a controlled end in the industrial park to the 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; 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
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 time delay and large connection characteristics, and the 5G communication facility is a network infrastructure for realizing man-machine object interconnection. URLLC, one of three application scenes of low-delay high-reliability communication (ultra-high-reliability and ultra-low-delay communication), namely an application scene of low-delay service, aims to support service with high sensitivity to delay and stability, and can be ensured by a network slicing technology. Deterministic network computing systems are a technique that helps achieve on-time, accurate, fast, control and reduce end-to-end latency for IP networks from "best effort" to "on-time.
Many deterministic network computing systems have been developed and, through extensive searching and reference, the prior art deterministic network computing systems have been found to have such deterministic network computing systems as disclosed in publication nos. CN114363182A, CN114650566A, EP1084470A1, US07760238B2, JP2010525484A, which generally include: a deterministic management plane, a deterministic control plane and a deterministic forwarding plane; the deterministic management plane is used for configuring a management strategy corresponding to deterministic service; the deterministic control plane is used for calculating the transmission path of deterministic service and distributing network resources according to the corresponding management strategy of deterministic service configured by the deterministic management plane; the deterministic forwarding plane is used for forwarding and operating deterministic service data packets according to the corresponding management strategy of the deterministic service configured by the deterministic management plane and the transmission path and the distributed network resources of the deterministic service calculated by the deterministic control plane. Because the deterministic network computing system lacks a detection and monitoring mechanism, the defect of reduced stability of the deterministic network computing system is caused in the 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 for 5GURLLC scene delay, aiming at the defects of the deterministic network computing system.
The invention adopts the following technical scheme:
a5 GURLLC scene delay deterministic network computing system 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 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 connecting a control end and a controlled end in an 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 operation to generate pre-detection information;
the intermittent monitoring terminal is used for reading transmission parameters and transmission types of all transmission links in each transmission process, comparing the corresponding transmission process with a reference process with the same transmission type preset in the database according to the corresponding time interval, and generating intermittent 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.
Optionally, 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 equation is satisfied:
D i ＝max i -min i
wherein Y represents a pre-detection result assessment score; t (T) i Representing the detected total time length of the ith group of data transmitted in the reference data packet; t is t i Representing the ith group in a reference packetA reference total duration for which data is transmitted; i represents the total number of data groups in the reference data packet;representing a reference average transmission rate for each set of data of the reference data packet; v (V) i Representing the average rate of the ith group of data in the reference data packet in the transmission process; d (D) i Representing the maximum jitter value of the ith group of data in the reference data packet in the transmission process; d, d i Representing a reference jitter value of the ith group of data in the reference data packet in the transmission process; max (max) i Representing the maximum delay value of the ith group of data in the reference data packet in the transmission process; min i Representing the minimum delay value of the ith group of data in the reference data packet in the transmission process; k (k) t 、k v and kd Respectively representing a time length conversion coefficient, a rate conversion coefficient and a jitter conversion coefficient, which are set by an administrator according to actual conditions;
when the pre-detection result calculation module outputs a pre-detection result, the following formula is satisfied:
wherein R (Y) represents a pre-detection result output function; r (Y) =1 indicates that there is a problem with the transmission link between the corresponding control end and the controlled end; r (Y) =0 indicates that there is no problem with the transmission link between the corresponding control end and the controlled end; r (Y) =retest denotes a transmission link to which re-pre-detection corresponds; lambda (lambda) 1 and λ2 All are result judgment thresholds which are empirically set by an administrator.
Optionally, the intermittent monitoring terminal comprises a transmission link monitoring time interval calculation module, a reference process judgment 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 a corresponding reference process in the database according to the transmission parameters and the transmission types of the transmission process of the transmission link; the comparison result calculation module is used for comparing the transmission process of the corresponding transmission link with a reference process to generate comparison result information; the intermittent monitoring information generation 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:
wherein J represents a corresponding transmission link monitoring time interval; f (f) 1 (v max ) -representing an index value selection function based on the maximum transmission rate; v max Representing the maximum transmission rate of the corresponding transmission link in normal operation; a is that 1 and A2 All represent classification rate thresholds, all set empirically by an administrator; f (f) 2 (N) represents 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 a reference number of hours; k (k) N The conversion coefficient of the number of hours is represented and set by an administrator according to actual conditions;
when the corresponding transmission link passes through the corresponding monitoring time interval, the reference process selecting module selects the reference process in the database according to the transmission parameters and the transmission types of the data of which the transmission is completed in the last group in the corresponding transmission link, and when the comparison result calculating module calculates, the following formula is satisfied:
wherein L represents a rate rating value; f (F) 1 Representing an average transmission rate of data corresponding to a most recent set of transmission completions in the transmission link; f (F) 2 Representing the average transmission rate of the reference procedure; g 1 Representing a data capacity corresponding to a most recent set of data completed for transmission in the transmission link; g 2 Representing the data capacity of the transmitted data in the reference process; q represents a jitter evaluation value; h 1 Representing a transmission jitter value corresponding to a most recently transmitted group of data in a transmission link; h 2 Representing a reference jitter value of transmitted data in a reference process during transmission; l represents a rate assessment base, q represents a jitter assessment base, each set empirically by an administrator; c (L)&Q) represents a comparison result function; b (B) 1 and B2 The comparison judgment thresholds are all 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 comprises a power management terminal; the power management terminal is used for detecting the power condition of the mains supply, and supplying uninterrupted power supply to the deterministic network computing system when the mains supply is unstable or has a power failure.
Optionally, the power management terminal comprises a mains supply monitoring module, a power switching module and an uninterruptible power supply module; the utility power monitoring module is used for monitoring the utility power and generating utility power monitoring information; the power supply switching module is used for generating a switching instruction according to the mains supply monitoring information; the uninterruptible power supply module is used for starting to supply power to the deterministic network computing system or stopping to supply power to the deterministic network computing system according to a switching instruction.
The deterministic network computing method of the 5GURLLC scene delay is applied to the deterministic network computing system of the 5GURLLC scene delay, and the deterministic network computing method comprises the following steps:
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 into a 5G deterministic network core framework;
s3, pre-detecting all transmission links between a control end and a controlled end in the industrial park before normal operation to generate pre-detection information;
s4, reading transmission parameters and transmission types of all transmission links in each transmission process, and comparing the corresponding transmission process with a reference process with the same transmission type preset in a database according to the corresponding time interval to generate intermittent monitoring information;
s5, generating prompt information and control instructions according to the pre-detection information and the intermittent monitoring information.
The beneficial effects obtained by the invention are as follows:
1. the 5G deterministic network core frame 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 are arranged to be beneficial to constructing and running the 5G deterministic network, so that the control delay between the control end and the controlled end in the industrial park is reduced, the whole communication is more stable and rapid by the pre-detection and intermittent monitoring mode, and the stability and the efficiency of a deterministic network computing system are improved;
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 in combination with a pre-detection result assessment score algorithm and a comparison result function, so that the accuracy and the calculation efficiency of the pre-detection result assessment 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 intermittent monitoring information generation module are arranged in cooperation 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 the system is improved, and energy is saved;
4. the utility power monitoring module, the power switching module and the uninterruptible power supply module are arranged in cooperation with a utility power state index algorithm, so that the monitoring condition of the system on the utility power is improved, the utility power monitoring information is more accurate, and the stability and the efficiency of the deterministic network computing system are further improved.
For a further understanding of the nature and the technical aspects of the present invention, reference should be made to the following detailed description of the invention and the accompanying drawings, which are provided for purposes of reference only and are not intended to limit the invention.
Drawings
FIG. 1 is a schematic diagram of the overall structure of the present invention;
FIG. 2 is a schematic illustration of the application of a deterministic network computing system to an industrial park according to the present invention;
FIG. 3 is a flow chart of a method for calculating a deterministic network for 5GURLLC scene delay in the present invention;
fig. 4 is a schematic view of another overall structure of the present invention.
Detailed Description
The following embodiments of the present invention are described in terms of specific examples, and those skilled in the art will appreciate the advantages and effects of the present invention from the disclosure herein. The invention is capable of other and different embodiments and its several details are capable of modification and variation in various respects, all without departing from the spirit of the present invention. The drawings of the present invention are merely schematic illustrations, and are not drawn to actual dimensions, and are stated in advance. The following embodiments will further illustrate the related art of the present invention in detail, but the disclosure is not intended to limit the scope of the present invention.
Embodiment one.
The embodiment provides a deterministic network computing system for 5GURLLC scene delay. Referring to fig. 1 and fig. 2, a deterministic network computing system for 5G deterministic network scene delay includes 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 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 connecting a control end and a controlled end in an 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 operation to generate pre-detection information; the intermittent monitoring terminal is used for reading transmission parameters and transmission types of all transmission links in each transmission process, comparing the corresponding transmission process with a reference process with the same transmission type preset in the database according to the corresponding time interval, and generating intermittent 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 an administrator to check; the control instruction is used for adjusting the working state of the corresponding transmission link.
Optionally, 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 equation is satisfied:
D i ＝max i -min i
wherein Y represents a pre-detection result assessment score; t (T) i Representing the detected total time length of the ith group of data transmitted in the reference data packet; t is t i Representing a reference total duration for which the ith group of data in the reference data packet is transmitted; i represents the total number of data groups in the reference data packet;representing a reference average transmission rate for each set of data of the reference data packet; v (V) i Representing the average rate of the first group of data in the reference data packet during transmission; d (D) i Representing the maximum jitter value of the ith group of data in the reference data packet in the transmission process; d, d i Representing a reference jitter value of the ith group of data in the reference data packet in the transmission process; max (max) i Representing the maximum delay value of the ith group of data in the reference data packet in the transmission process; min i Representing the minimum delay value of the ith group of data in the reference data packet in the transmission process; k (k) 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 T appears i In the case of > 1s, k t 1.5, k v Is 0.8, k d 1.2; when T does not occur i In the case of > 1s, then k t 0.75, k v Is 0.4, k d 0.6;
when the pre-detection result calculation module outputs a pre-detection result, the following formula is satisfied:
wherein R (Y) represents a pre-detection result output function; r (Y) =1 indicates that there is a problem with the transmission link between the corresponding control end and the controlled end; r (Y) =0 indicates that there is no problem with the transmission link between the corresponding control end and the controlled end; r (Y) =retest denotes the transmission chain corresponding to re-pre-detectionA road; lambda (lambda) 1 and λ2 All are result judgment thresholds which are empirically set by an administrator.
Optionally, the intermittent monitoring terminal comprises a transmission link monitoring time interval calculation module, a reference process judgment 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 a corresponding reference process in the database according to the transmission parameters and the transmission types of the transmission process of the transmission link; the comparison result calculation module is used for comparing the transmission process of the corresponding transmission link with a reference process to generate comparison result information; the intermittent monitoring information generation 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:
wherein J represents a corresponding transmission link monitoring time interval; f (f) 1 (v max ) -representing an index value selection function based on the maximum transmission rate; v max Representing the maximum transmission rate of the corresponding transmission link in normal operation; a is that 1 and A2 All represent classification rate thresholds, all set empirically by an administrator; f (f) 2 (N) represents 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 a reference number of hours; k (k) N The conversion coefficient of the number of hours is represented,setting by an administrator according to actual conditions, 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;
when the corresponding transmission link passes through the corresponding monitoring time interval, the reference process selecting module selects the reference process in the database according to the transmission parameters and the transmission types of the data of which the transmission is completed in the last group in the corresponding transmission link, and when the comparison result calculating module calculates, the following formula is satisfied:
wherein L represents a rate rating value; f (F) 1 Representing an average transmission rate of data corresponding to a most recent set of transmission completions in the transmission link; f (F) 2 Representing the average transmission rate of the reference procedure; g 1 Representing a data capacity corresponding to a most recent set of data completed for transmission in the transmission link; g 2 Representing the data capacity of the transmitted data in the reference process; q represents a jitter evaluation value; h 1 Representing a transmission jitter value corresponding to a most recently transmitted group of data in a transmission link; h 2 Representing a reference jitter value of transmitted data in a reference process during transmission; l represents a rate assessment base, q represents a jitter assessment base, each set empirically by an administrator; c (L)&Q) represents a comparison result function; b (B) 1 and B2 The comparison judgment thresholds are all 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 connection with fig. 4, the deterministic network computing system further includes a power management terminal; the power management terminal is used for detecting the power condition of the mains supply, and supplying uninterrupted power supply to the deterministic network computing system when the mains supply is unstable or has a power failure.
Optionally, the power management terminal comprises a mains supply monitoring module, a power switching module and an uninterruptible power supply module; the utility power monitoring module is used for monitoring the utility power and generating utility power monitoring information; the power supply switching module is used for generating a switching instruction according to the mains supply monitoring information; the uninterruptible power supply module is used for starting to supply power to the deterministic network computing system or stopping to supply power to the deterministic network computing system according to a switching instruction.
The deterministic network computing method for 5GURLLC scene delay is applied to the deterministic network computing system for 5GURLLC scene delay, and is shown in combination with FIG. 3, and the deterministic network computing method comprises the following steps:
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 into a 5G deterministic network core framework;
s3, pre-detecting all transmission links between a control end and a controlled end in the industrial park before normal operation to generate pre-detection information;
s4, reading transmission parameters and transmission types of all transmission links in each transmission process, and comparing the corresponding transmission process with a reference process with the same transmission type preset in a database according to the corresponding time interval to generate intermittent monitoring information;
s5, generating prompt information and control instructions according to the pre-detection information and the intermittent monitoring information.
Embodiment two.
The embodiment includes the whole content of the first embodiment, and provides a deterministic network computing system for 5GURLLC scene delay, wherein the mains supply monitoring module comprises a mains supply information acquisition sub-module, a mains supply state index computing sub-module and a mains supply monitoring information generating sub-module; the mains supply information acquisition sub-module is used for acquiring mains supply information of mains supply accessed to the deterministic network computing system; the mains supply state index calculation submodule is used for calculating the mains supply state index of the current mains supply according to the mains supply information; the commercial power monitoring information generation sub-module is used for generating corresponding commercial power monitoring information according to the commercial power state index;
when the utility state index submodule calculates, the following equation is satisfied:
wherein Z represents a mains state index; f (f) 3 (S 1 ) Representing a first reference window function; s is S 1 Representing the voltage value of the current mains supply; s is S min Representing a lower limit boundary value of a mains tolerance voltage range; s is S max Representing an upper boundary value of a mains tolerance voltage range; s is S min ＝220-220*5％＝209；S max ＝220+220*10％＝242；f 4 (S 2 ) Representing a second reference window function; s is S 2 Representing the times of unstable commercial power occurring in three hours before and after the historical moment corresponding to the current moment; 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;the value of the state reference variable is empirically set by an administrator and is typically 0.1.
When the commercial power monitoring information generating sub-module generates commercial power monitoring information according to the commercial power state index, the following formula is satisfied:
wherein, the jodge represents the commercial power monitoring information; jude=1 is commercial power monitoring information indicating an abnormal state; judge=0 is commercial power monitoring information indicating a normal state; when the joint=1, the power supply switching module generates a switching instruction for driving the uninterrupted power supply module to continuously work; the power switching module generates a switching instruction for driving the uninterruptible power supply module to remain standby when judge=0.
The foregoing disclosure is only a preferred embodiment of the present invention and is not intended to limit the scope of the invention, so that all equivalent technical changes made by the application of the present invention and the accompanying drawings are included in the scope of the invention, and in addition, the elements in the invention can be updated with the technical development.
Claims (4)
1. The 5G deterministic network computing system for scene delay of the RLLC is characterized by comprising 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 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 connecting a control end and a controlled end in an 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 operation to generate pre-detection information;
the intermittent monitoring terminal is used for reading transmission parameters and transmission types of all transmission links in each transmission process, comparing the corresponding transmission process with a reference process with the same transmission type preset in the database according to the corresponding time interval, and generating intermittent 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 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 equation is satisfied:
；
；
wherein ,representing a pre-detection result assessment score; />Indicating +.>A detected total duration for which group data is transmitted; />Indicating +.>A reference total duration for which group data is transmitted; />Representing the total number of data groups in the reference data packet; />Representing a reference average transmission rate for each set of data of the reference data packet; />Indicating +.>Average rate of group data during transmission; />Indicating +.>Maximum jitter value of group data in transmission process; />Indicating +.>A reference jitter value of the group data during transmission; />Indicating +.>Maximum delay value of group data in transmission process; />Indicating +.>Minimum delay value of group data in transmission process; />、 and />Respectively representing a time length conversion coefficient, a rate conversion coefficient and a jitter conversion coefficient, which are set by an administrator according to actual conditions;
when the pre-detection result calculation module outputs a pre-detection result, the following formula is satisfied:
；
wherein ,representing a pre-detection result output function; />Indicating that a transmission link between a corresponding control end and a controlled end has a problem; />Indicating that no problem exists in the transmission link between the corresponding control end and the controlled end;representing re-pre-detection of the corresponding transmission link; /> and />All are result judging thresholds which are set by an administrator according to experience;
the intermittent monitoring terminal comprises a transmission link monitoring time interval calculation module, a reference process judgment 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 a corresponding reference process in the database according to the transmission parameters and the transmission types of the transmission process of the transmission link; the comparison result calculation module is used for comparing the transmission process of the corresponding transmission link with a reference process to generate comparison result information; the intermittent monitoring information generation 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:
；
；
；
wherein ,representing a corresponding transmission link monitoring time interval; />-representing an index value selection function based on the maximum transmission rate; />Representing the maximum transmission rate of the corresponding transmission link in normal operation; /> and />All represent the grading rate threshold value, all are set by the administrator according to the actual situation; />Representing a symbol selection function based on the number of transmissions; />Representing the number of transmitted times of the corresponding transmission link after the previous monitoring; 10 represents a reference number of hours; />The conversion coefficient of the number of hours is represented and set by an administrator according to actual conditions;
when the corresponding transmission link passes through the corresponding monitoring time interval, the reference process selecting module selects the reference process in the database according to the transmission parameters and the transmission types of the data of which the transmission is completed in the last group in the corresponding transmission link, and when the comparison result calculating module calculates, the following formula is satisfied:
；
；
；
wherein ,representing a rate rating value; />Representing an average transmission rate of data corresponding to a most recent set of transmission completions in the transmission link; />Representing the average transmission rate of the reference procedure; />Representing a data capacity corresponding to a most recent set of data completed for transmission in the transmission link; />Representing the data capacity of the transmitted data in the reference process; />Representing a jitter evaluation value; />Representing a transmission jitter value corresponding to a most recently transmitted group of data in a transmission link; />Representing a reference jitter value of transmitted data in a reference process during transmission; />Representing rate rating base,/->Representing jitter assessment bases, each set empirically by an administrator; />Representing a comparison result function; /> and />The comparison judgment thresholds are all set by an administrator according to experience;indicating that the comparison result is normal; />Indicating that the comparison result is abnormal.
2. The deterministic network computing system of claim 1 wherein said deterministic network computing system further comprises a power management terminal; the power management terminal is used for detecting the power condition of the mains supply, and supplying uninterrupted power supply to the deterministic network computing system when the mains supply is unstable or has a power failure.
3. The deterministic network computing system of a 5 gurlc scene delay as recited in claim 2, wherein said power management terminal comprises a mains monitoring module, a power switching module and an uninterruptible power supply module; the utility power monitoring module is used for monitoring the utility power and generating utility power monitoring information; the power supply switching module is used for generating a switching instruction according to the mains supply monitoring information; the uninterruptible power supply module is used for starting to supply power to the deterministic network computing system or stopping to supply power to the deterministic network computing system according to a switching instruction.
4. A deterministic network computing method for 5 gurlc scene delay, applied to a deterministic network computing system for 5 gurlc scene delay as recited in claim 3, the deterministic network computing method comprising:
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 into a 5G deterministic network core framework;
s3, pre-detecting all transmission links between a control end and a controlled end in the industrial park before normal operation to generate pre-detection information;
s4, reading transmission parameters and transmission types of all transmission links in each transmission process, and comparing the corresponding transmission process with a reference process with the same transmission type preset in a database according to the corresponding time interval to generate intermittent monitoring information;
s5, generating prompt information and control instructions according to the pre-detection information and the intermittent monitoring information.
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| CN113759816A (en) * | 2021-08-20 | 2021-12-07 | 昆明理工大学 | Monitoring control system |
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| CN114928614A (en) * | 2022-05-16 | 2022-08-19 | 济南大学 | Deterministic network load balancing method and system based on SDN |
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| 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 |
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