CN115664600B - Data remote interaction detection and management system based on data analysis - Google Patents
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Abstract
The invention belongs to the field of data transmission, relates to a data analysis technology, and is used for solving the problem that the conventional data remote interaction detection and control system cannot meet the data interaction requirements of different types, in particular to a data remote interaction detection and control system based on data analysis, which comprises a detection and control platform, wherein the detection and control platform is in communication connection with a data acquisition module, a data processing module, a period management module, a data transmission module and a data storage module, the data transmission module is also in communication connection with a data receiving module, and the period management module is also in communication connection with a period detection module; the data acquisition module can acquire data in real time, and the data receiving module divides the data receiving terminal, so that the data transmission is characterized by being marked by the data acquisition sending terminal, data support is provided for data transmission mode selection, and data transmission interaction is realized in a dual-mode parallel transmission mode.
Description
Technical Field
The invention belongs to the field of data transmission, relates to a data analysis technology, and particularly relates to a data remote interactive detection and control system based on data analysis.
Background
Remote data processing is the technology by which computers communicate over remote communication links. It is characterized by that the computer is connected with telephone, TV, data base and communication satellite to form a new information processing and transmitting network which combines image, sound and memory together.
The existing data remote interaction detection and management system can only transmit data in a single data interaction mode, but the data types acquired by the data acquisition terminals are numerous, the data transmission quantity is different, so that the single data interaction mode cannot meet the data interaction requirements of different types, the data interaction efficiency is low, and the integrity of data transmission is not high.
In view of the above technical problem, the present application proposes a solution.
Disclosure of Invention
The invention aims to provide a data remote interaction detection and management system based on data analysis, which is used for solving the problem that the existing data remote interaction detection and management system cannot meet the data interaction requirements of different types;
the technical problems to be solved by the invention are as follows: how to provide a data remote interaction detection and management system based on data analysis which can meet the data interaction requirements of different types.
The purpose of the invention can be realized by the following technical scheme:
a data remote interaction detection and control system based on data analysis comprises a detection and control platform, wherein the detection and control platform is in communication connection with a data acquisition module, a data processing module, a period management module, a data transmission module and a data storage module, the data transmission module is also in communication connection with a data receiving module, and the period management module is also in communication connection with a period detection module;
the data acquisition module comprises a plurality of data acquisition terminals; the data receiving module comprises a plurality of data receiving terminals, and the data receiving terminals are marked as receiving objects i, i =1,2, \ 8230, wherein n is a positive integer;
the data processing module is used for receiving the data acquired by the data acquisition module and carrying out transmission processing analysis: marking the data acquired by the data acquisition terminal as analysis data, acquiring a target receiving object i of the analysis data, marking a characteristic value of the analysis data as Toi, and sending the analysis data and the characteristic value Toi to the data transmission module;
the data transmission module is used for transmitting the analysis data to a corresponding receiving object i after receiving the analysis data and the characteristic value Toi;
the period management module is used for managing and analyzing the data transmission quantity in the data transmission process and marking the transmission characteristics of the received object in the next transmission period;
the period detection module is used for monitoring and analyzing the data transmission efficiency and the safety and replacing the value of the receiving threshold JSMax.
As a preferred embodiment of the present invention, the data transmission module includes a real-time transmission unit and a periodic transmission unit, and acquires transmission characteristics of a receiving object of the analysis data, marks the receiving object whose transmission characteristics are real-time transmission as a real-time object, and marks analysis data whose characteristic value Toi corresponds to the real-time object as real-time data; the transmission process of the real-time transmission unit comprises the following steps: and after receiving the real-time data, sending the real-time data to the corresponding real-time object in real time.
As a preferred embodiment of the present invention, a receiving object whose transmission characteristics are periodic transmission is marked as a periodic object, and analysis data whose characteristic value Toi corresponds to the periodic object is marked as periodic data, and a transmission process of a periodic transmission unit includes: and at the end time of the transmission period, packaging the periodic data corresponding to the periodic object to generate a data transmission packet, and sending the data transmission packet to the periodic object.
As a preferred embodiment of the present invention, the specific process of the period management module performing management analysis on the data transmission amount in the data transmission process includes: setting a transmission period, acquiring the data transmission quantity transmitted by the real-time transmission unit in the transmission period, marking the data transmission quantity received by the receiving object i as the receiving quantity JSi of the receiving object i, acquiring a receiving threshold JSmax through the data storage module, and comparing the receiving quantity JSi of the receiving object i with the receiving threshold JSmax: if the receiving quantity JSi is smaller than the receiving threshold JSMax, the transmission characteristic of the corresponding receiving object in the next transmission period is marked as real-time transmission; if the receiving quantity JSi is larger than or equal to the receiving threshold value JSMax, the transmission characteristic of the corresponding receiving object in the next transmission period is marked as period transmission; and marking the ratio of the number of the receiving objects with the transmission characteristics of the next transmission period as period transmission to n as a cycle table value, and when the cycle table value is not zero, performing data transmission on the receiving objects with the transmission characteristics of period transmission by using a period transmission unit at the starting moment of the next transmission period.
As a preferred embodiment of the present invention, the period detection module is used for monitoring and analyzing the data transmission efficiency and security: acquiring an efficiency coefficient XL and a stability coefficient WD of a previous transmission period; the transmission coefficient CS of the previous transmission period is obtained by carrying out numerical calculation on the efficiency coefficient XL and the stability coefficient WD, and when the number of the transmission periods reaches L1, the numerical value of the receiving threshold JSMax is replaced.
As a preferred embodiment of the present invention, the process of obtaining the efficiency coefficient XL includes: marking the process of real-time data transmission in the last transmission cycle by the real-time transmission unit as a real-time transmission process, dividing the real-time transmission process into a plurality of real-time transmission time intervals, acquiring the bandwidth DK, the time delay SY and the throughput TT of the real-time transmission time intervals, and obtaining the rate coefficient SL of the real-time transmission time intervals by carrying out numerical calculation on the bandwidth DK, the time delay SY and the throughput TT; marking the rate coefficient SL corresponding to the real-time transmission period with the minimum value of the rate coefficient SL as an efficiency coefficient XL of a transmission cycle; the process of obtaining the stability factor WD includes: marking the process of periodic data transmission in the last transmission period by the periodic transmission unit as a periodic transmission process, acquiring the packet loss ratio DB and the jitter amount DD of the periodic transmission process, and obtaining the stability coefficient WD of the transmission period by carrying out numerical calculation on the packet loss ratio DB and the jitter amount DD.
As a preferred embodiment of the present invention, the specific process of replacing the value of the reception threshold JSmax includes: and marking the transmission cycle with the maximum transmission coefficient CS value as a salient cycle, acquiring the cycle table value of the salient cycle and marking the cycle table value as a salient table value, carrying out equal-proportion conversion on the receiving threshold value JSMax after the transmission cycle is ended to obtain a plurality of receiving values, calculating the cycle table value of the next transmission cycle according to the receiving values, and carrying out numerical value replacement on the receiving threshold value JSMax by the receiving value with the cycle table value closest to the salient table value.
As a preferred embodiment of the present invention, the working method of the data remote interactive detection and management system based on data analysis includes the following steps:
the method comprises the following steps: the data acquisition terminal acquires data and sends the data to the data processing module, and the data processing module transmits, processes and analyzes the received data and sends the analyzed data and the characteristic value Toi to the data transmission module;
step two: managing and analyzing the data transmission quantity in the data transmission process through a period management module, and marking the transmission characteristics of a receiving object in the next transmission period;
step three: sending the analysis data to a corresponding receiving object i through a data transmission module, and respectively adopting a real-time transmission unit and a periodic transmission unit to carry out data transmission on the real-time data and the periodic data;
step four: and monitoring and analyzing the data transmission efficiency and the safety through a period detection module to obtain a transmission coefficient of the previous transmission period, acquiring a burst table value when the number of the transmission periods reaches L1, and updating the value of the receiving threshold JSMax through the value of the burst table value.
The invention has the following beneficial effects:
1. the data can be acquired in real time through the data acquisition module, and meanwhile, the data receiving module divides the data receiving terminal, so that the transmitted data is subjected to feature marking through the data acquisition sending terminal, data support is provided for data transmission mode selection, and data transmission interaction is carried out in a dual-mode parallel transmission mode;
2. the data transmission interaction can be carried out in a dual mode through the data transmission module, and the transmission mode of the analysis data is screened according to the characteristic value of the transmission data and the transmission characteristic of the receiving object, so that the data with small data volume is transmitted in real time, the timeliness of the data transmission is ensured, the data with large data volume is transmitted periodically, the integrity of the transmission data is ensured, and the interactive adaptability of the system to various types of data is improved in a parallel mode of the dual transmission modes;
3. the data transmission characteristics in a transmission period can be managed and analyzed through a period management module, transmission characteristic marks are carried out by combining the data receiving quantity of each receiving object in the previous transmission period, meanwhile, the ratio of the quantity of the receiving objects transmitted periodically is fed back through a period table value, and the transmission quantity distribution in a data transmission mode is monitored;
4. the data transmission efficiency and the safety can be monitored and analyzed through the period detection module, the transmission parameters of the real-time transmission unit and the transmission parameters of the period transmission unit are comprehensively analyzed to obtain the transmission coefficient, so that the data transmission state is fed back through the numerical value of the transmission coefficient, and when the transmission period reaches a certain numerical value, the receiving threshold value is replaced by the numerical value, so that the data distribution proportion in the subsequent data transmission is optimized.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a block diagram of a system according to a first embodiment of the present invention;
FIG. 2 is a flowchart of a method according to a second embodiment of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example one
As shown in fig. 1, a data remote interaction detection and management system based on data analysis includes a detection and management platform, the detection and management platform is communicatively connected with a data acquisition module, a data processing module, a period management module, a data transmission module and a data storage module, the data transmission module is further communicatively connected with a data receiving module, and the period management module is further communicatively connected with a period detection module.
The data acquisition module comprises a plurality of data acquisition terminals; the data receiving module comprises a plurality of data receiving terminals, and the data receiving terminals are marked as receiving objects i, i =1,2, \ 8230, wherein n and n are positive integers. The data processing module is used for receiving the data acquired by the data acquisition module and carrying out transmission processing analysis: marking the data acquired by the data acquisition terminal as analysis data, acquiring a target receiving object i of the analysis data, marking a characteristic value of the analysis data as Toi, and sending the analysis data and the characteristic value Toi to the data transmission module; the data are collected in real time, and meanwhile, the data receiving module divides the data receiving terminal, so that the data transmission is characterized by the data collecting sending terminal, data support is provided for data transmission mode selection, and data transmission interaction is realized in a dual-mode parallel transmission mode.
The data transmission module is used for transmitting the analysis data to a corresponding receiving object i after receiving the analysis data and the characteristic value Toi, comprises a real-time transmission unit and a periodic transmission unit, acquires the transmission characteristic of the receiving object of the analysis data, marks the receiving object with the transmission characteristic of real-time transmission as a real-time object, and marks the analysis data corresponding to the characteristic value Toi and the real-time object as real-time data; the transmission process of the real-time transmission unit comprises the following steps: after receiving the real-time data, sending the real-time data to a corresponding real-time object in real time; marking a receiving object with transmission characteristics of periodic transmission as a periodic object, marking analysis data with characteristic values Toi corresponding to the periodic object as periodic data, wherein the transmission process of the periodic transmission unit comprises the following steps: at the end of the transmission period, packaging the periodic data corresponding to the periodic object to generate a data transmission packet, and sending the data transmission packet to the periodic object; the data transmission interaction is carried out in a dual mode, the transmission mode of the analysis data is screened according to the characteristic value of the transmission data and the transmission characteristic of the receiving object, so that the data with small data volume is transmitted in real time, the timeliness of the data transmission is guaranteed, the data with large data volume is transmitted periodically, the integrity of the transmission data is guaranteed, and the interactive adaptability of the system to various types of data is improved in a dual-transmission mode parallel mode.
The period management module is used for managing and analyzing the data transmission quantity in the data transmission process: setting a transmission period, acquiring the data transmission quantity transmitted by the real-time transmission unit in the transmission period, marking the data transmission quantity received by the receiving object i as the receiving quantity JSi of the receiving object i, acquiring a receiving threshold JSmax through the data storage module, and comparing the receiving quantity JSi of the receiving object i with the receiving threshold JSmax: if the receiving quantity JSi is smaller than the receiving threshold value JSMax, the transmission characteristic of the corresponding receiving object in the next transmission period is marked as real-time transmission; if the receiving quantity JSi is larger than or equal to the receiving threshold value JSMax, the transmission characteristic of the corresponding receiving object in the next transmission period is marked as period transmission; the ratio of the number of the receiving objects with the transmission characteristics of the next transmission period as period transmission to n is marked as a cycle table value, and when the cycle table value is not zero, a cycle transmission unit is adopted to carry out data transmission on the receiving objects with the transmission characteristics as period transmission at the starting moment of the next transmission period; and managing and analyzing the data transmission characteristics in the transmission period, carrying out transmission characteristic marking by combining the data receiving quantity of each receiving object in the previous transmission period, and simultaneously feeding back the ratio of the quantity of the receiving objects transmitted periodically through the period table value to monitor the transmission quantity distribution in the data transmission mode.
The period detection module is used for monitoring and analyzing the data transmission efficiency and the safety: obtaining an efficiency coefficient XL and a stability coefficient WD of a previous transmission period, wherein the obtaining process of the efficiency coefficient XL comprises the following steps: marking the process of real-time data transmission in the last transmission cycle by a real-time transmission unit as a real-time transmission process, dividing the real-time transmission process into a plurality of real-time transmission time intervals, and acquiring the bandwidth DK, the time delay SY and the throughput TT of the real-time transmission time intervals, wherein the bandwidth of a signal refers to the frequency range occupied by various different frequency components contained in the signal, and is particularly important for basic input/output system (BIOS) equipment, for example, a fast disk drive is obstructed by a low-frequency wide bus; the time delay refers to the time required for transmitting a message or packet from one end of a network to the other end, and comprises transmission time delay, propagation time delay, processing time delay and queuing time delay; throughput refers to the amount of data successfully transmitted per unit time to a network, device, port, virtual circuit, or other facility; obtaining a rate coefficient SL of the real-time transmission period through a formula SL = (alpha 1 × DK + alpha 2 × TT)/(alpha 3 × SY), wherein the rate coefficient is a numerical value reflecting the data transmission speed in the real-time transmission period, and the larger the numerical value of the rate coefficient is, the faster the data transmission in the corresponding real-time transmission period is; wherein alpha 1, alpha 2 and alpha 3 are all proportionality coefficients, and alpha 1 is more than alpha 2 and more than alpha 3 is more than 1; marking the rate coefficient SL corresponding to the real-time transmission time period with the minimum value of the rate coefficient SL as an efficiency coefficient XL of a transmission cycle; the process of obtaining the stability factor WD includes:marking the process of periodic data transmission in the last transmission period by a periodic transmission unit as a periodic transmission process, and acquiring the packet loss ratio DB and the jitter amount DD of the periodic transmission process, wherein the packet loss ratio refers to the ratio of the number of lost data packets in a test to a sent data group; jitter is one of the core contents of signal integrity test of a digital system, is the most important measurement parameter of a clock and a serial signal, and the unit of the jitter amount is millisecond; obtaining a stability coefficient WD of a transmission period through a formula WD = beta 1 × DB + beta 2 × DD, wherein the stability coefficient is a numerical value reflecting the transmission stability of the periodic transmission process, and the larger the numerical value of the stability coefficient is, the higher the transmission stability of the periodic transmission process is; wherein, the beta 1 and the beta 2 are proportional coefficients, and the beta 1 is more than the beta 2 and more than 1; by the formulaThe ratio of (a) is marked as the transmission coefficient CS of the last transmission period, wherein both gamma 1 and gamma 2 are proportionality coefficients, and gamma 1 is more than gamma 2 and more than 1; when the number of the transmission cycles reaches L1, marking the transmission cycle with the maximum value of the transmission coefficient CS as a salient cycle, acquiring a cycle table value of the salient cycle and marking the cycle table value as a salient table value, after the transmission cycle is ended, carrying out equal-proportion conversion on a receiving threshold value JSMax to obtain a plurality of receiving values, calculating the cycle table value of the next transmission cycle according to the receiving values, and carrying out numerical value replacement on the receiving threshold value JSMax by using the receiving value with the cycle table value closest to the salient table value; the data transmission efficiency and the safety are monitored and analyzed, the transmission parameters of the real-time transmission unit and the transmission parameters of the periodic transmission unit are comprehensively analyzed to obtain the transmission coefficients, so that the data transmission state is fed back through the values of the transmission coefficients, and when the transmission period reaches a certain value, the receiving threshold value is replaced by the values, so that the data distribution ratio in the subsequent data transmission is optimized.
Example two
As shown in fig. 2, a data remote interactive detection and control method based on data analysis includes the following steps:
the method comprises the following steps: the data acquisition terminal acquires data and sends the data to the data processing module, the data processing module performs transmission processing analysis on the received data and sends the analysis data and the characteristic value Toi to the data transmission module, and the data acquisition sending terminal performs characteristic marking on the transmission data and provides data support for data transmission mode selection;
step two: the data transmission quantity in the data transmission process is managed and analyzed through a period management module, the transmission characteristics of a receiving object in the next transmission period are marked, and the ratio of the number of the receiving objects transmitted periodically is fed back through a period table value;
step three: sending the analysis data to a corresponding receiving object i through a data transmission module, and respectively adopting a real-time transmission unit and a periodic transmission unit to carry out data transmission on the real-time data and the periodic data so as to ensure the timeliness of data transmission and the integrity of transmission data;
step four: the data transmission efficiency and the safety are monitored and analyzed through the period detection module to obtain a transmission coefficient of the previous transmission period, a burst table value is obtained when the number of the transmission periods reaches L1, the value of the receiving threshold JSMax is updated through the value of the burst table value, and the data distribution proportion in the subsequent data transmission is optimized.
A data remote interaction detection and control system based on data analysis is characterized in that when the system works, data are collected through a data collection terminal and sent to a data processing module, the data processing module conducts transmission processing analysis on the received data and sends the analyzed data and a characteristic value Toi to a data transmission module, the transmitted data are subjected to characteristic marking through a sending terminal of the data collection, and data support is provided for data transmission mode selection; the data transmission quantity in the data transmission process is managed and analyzed through a period management module, the transmission characteristics of a receiving object in the next transmission period are marked, and the ratio of the number of the receiving objects transmitted periodically is fed back through a period table value; sending the analysis data to a corresponding receiving object i through a data transmission module, and respectively adopting a real-time transmission unit and a periodic transmission unit to carry out data transmission on the real-time data and the periodic data so as to ensure the timeliness of data transmission and the integrity of transmission data; the data transmission efficiency and the safety are monitored and analyzed through the period detection module to obtain a transmission coefficient of the previous transmission period, a burst table value is obtained when the number of the transmission periods reaches L1, the value of the receiving threshold JSMax is updated through the value of the burst table value, and the data distribution ratio in the subsequent data transmission is optimized.
The foregoing is merely exemplary and illustrative of the present invention and various modifications, additions and substitutions may be made by those skilled in the art to the specific embodiments described without departing from the scope of the invention as defined in the following claims.
The formulas are obtained by acquiring a large amount of data and performing software simulation, and the coefficients in the formulas are set by the technicians in the field according to actual conditions; such as: formula SL = (α 1 × dk + α 2 × tt)/(α 3 × sy); collecting multiple groups of sample data and setting corresponding rate coefficient for each group of sample data by the technicians in the field; substituting the set rate coefficient and the acquired sample data into formulas, forming a ternary linear equation set by any three formulas, screening the calculated coefficients and taking the mean value to obtain values of alpha 1, alpha 2 and alpha 3 which are respectively 3.74, 2.97 and 2.65;
the size of the coefficient is a specific numerical value obtained by quantizing each parameter, so that the subsequent comparison is convenient, and the size of the coefficient depends on the number of sample data and a corresponding rate coefficient is preliminarily set for each group of sample data by a person skilled in the art; as long as the proportional relationship between the parameter and the quantized value is not affected, for example, the rate coefficient is proportional to the value of the throughput.
In the description herein, references to the description of "one embodiment," "an example," "a specific example" or the like are intended to mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise forms disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (4)
1. A data remote interaction detection and control system based on data analysis is characterized by comprising a detection and control platform, wherein the detection and control platform is in communication connection with a data acquisition module, a data processing module, a period management module, a data transmission module and a data storage module, the data transmission module is also in communication connection with a data receiving module, and the period management module is also in communication connection with a period detection module;
the data acquisition module comprises a plurality of data acquisition terminals; the data receiving module comprises a plurality of data receiving terminals, and the data receiving terminals are marked as receiving objects i, i =1,2, \ 8230, wherein n is a positive integer;
the data processing module is used for receiving the data acquired by the data acquisition module and carrying out transmission processing analysis: marking the data acquired by the data acquisition terminal as analysis data, acquiring a target receiving object i of the analysis data, marking a characteristic value of the analysis data as Toi, and sending the analysis data and the characteristic value Toi to the data transmission module;
the data transmission module is used for transmitting the analysis data to a corresponding receiving object i after receiving the analysis data and the characteristic value Toi; the data transmission module comprises a real-time transmission unit and a periodic transmission unit;
the period management module is used for managing and analyzing the data transmission quantity in the data transmission process and marking the transmission characteristics of the received object in the next transmission period;
the period detection module is used for monitoring and analyzing the data transmission efficiency and the safety and replacing the value of the receiving threshold JSMax;
the specific process of the period management module for managing and analyzing the data transmission quantity in the data transmission process comprises the following steps: setting a transmission period, acquiring the data transmission quantity transmitted by the real-time transmission unit in the transmission period, marking the data transmission quantity received by the receiving object i as the receiving quantity JSi of the receiving object i, acquiring a receiving threshold JSmax through the data storage module, and comparing the receiving quantity JSi of the receiving object i with the receiving threshold JSmax: if the receiving quantity JSi is smaller than the receiving threshold value JSMax, the transmission characteristic of the corresponding receiving object in the next transmission period is marked as real-time transmission; if the receiving quantity JSi is larger than or equal to the receiving threshold value JSMax, the transmission characteristic of the corresponding receiving object in the next transmission period is marked as period transmission; and marking the ratio of the number of the receiving objects with the transmission characteristics of the next transmission period as period transmission to n as a cycle table value, and when the cycle table value is not zero, performing data transmission on the receiving objects with the transmission characteristics of period transmission by using a period transmission unit at the starting moment of the next transmission period.
2. The data remote interactive detection and management system based on data analysis as claimed in claim 1, wherein the transmission characteristics of the receiving object of the analysis data are obtained, the receiving object with the transmission characteristics of real-time transmission is marked as a real-time object, and the analysis data with characteristic value Toi corresponding to the real-time object is marked as real-time data; the transmission process of the real-time transmission unit comprises the following steps: and after receiving the real-time data, sending the real-time data to the corresponding real-time object in real time.
3. The system according to claim 1, wherein the receiving objects with transmission characteristics of periodic transmission are marked as periodic objects, the analysis data with characteristic values Toi corresponding to the periodic objects are marked as periodic data, and the transmission process of the periodic transmission unit includes: and at the end time of the transmission period, packaging the periodic data corresponding to the periodic object to generate a data transmission packet, and sending the data transmission packet to the periodic object.
4. The data remote interaction detection and management and control system based on data analysis as claimed in claim 1, wherein the period detection module is used for monitoring and analyzing the data transmission efficiency and security: acquiring an efficiency coefficient XL and a stability coefficient WD of a previous transmission period; the transmission coefficient CS of the previous transmission period is obtained by carrying out numerical calculation on the efficiency coefficient XL and the stability coefficient WD, and the numerical value of the receiving threshold value JSMax is replaced when the number of the transmission periods reaches L1;
the process of obtaining the efficiency coefficient XL includes: marking the process of real-time data transmission in the last transmission period of the real-time transmission unit as a real-time transmission process, dividing the real-time transmission process into a plurality of real-time transmission periods, acquiring the bandwidth DK, the time delay SY and the throughput TT of the real-time transmission periods, and obtaining the rate coefficient SL of the real-time transmission periods by carrying out numerical calculation on the bandwidth DK, the time delay SY and the throughput TT; marking the rate coefficient SL corresponding to the real-time transmission time period with the minimum value of the rate coefficient SL as an efficiency coefficient XL of a transmission cycle;
the process of obtaining the stability factor WD includes: marking the process of periodic data transmission in the last transmission period by the periodic transmission unit as a periodic transmission process, acquiring the packet loss ratio DB and the jitter amount DD of the periodic transmission process, and obtaining the stability coefficient WD of the transmission period by carrying out numerical calculation on the packet loss ratio DB and the jitter amount DD.
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Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US7426206B1 (en) * | 1998-06-11 | 2008-09-16 | Synchrodyne Networks, Inc. | Switching system and methodology having scheduled connection on input and output ports responsive to common time reference |
AU6334400A (en) * | 1999-06-30 | 2001-01-22 | Broadcom Corporation | Memory management unit for a network switch |
CN104253788B (en) * | 2013-06-26 | 2019-07-16 | 腾讯科技(深圳)有限公司 | A kind of data processing method, client, page engine and system |
EP2827207A1 (en) * | 2013-07-15 | 2015-01-21 | Siemens Aktiengesellschaft | Method for transmitting data frames by means of a communication device of an industrial automation system and communication device |
DE112016006755B4 (en) * | 2016-11-14 | 2020-06-18 | Mitsubishi Electric Corporation | Network system and communication method |
US10539996B2 (en) * | 2016-11-28 | 2020-01-21 | Qualcomm Incorporated | WiFi memory power minimization |
CN114449340A (en) * | 2020-10-30 | 2022-05-06 | 南京中兴新软件有限责任公司 | Video code rate identification method of encrypted video, and video playing index estimation method and device |
CN113254375A (en) * | 2020-12-30 | 2021-08-13 | 深圳怡化电脑股份有限公司 | Data transmission method and device, electronic equipment and storage medium |
CN113705952A (en) * | 2021-06-24 | 2021-11-26 | 中建七局安装工程有限公司 | Intelligent building management and control system based on field information |
-
2022
- 2022-12-22 CN CN202211654167.0A patent/CN115664600B/en active Active
Patent Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN115175174A (en) * | 2022-06-30 | 2022-10-11 | 江苏省未来网络创新研究院 | Method for realizing probe equipment management and control system based on Internet of things platform |
CN115296422A (en) * | 2022-09-30 | 2022-11-04 | 华能辛店发电有限公司 | Power cable running state monitoring and control system and method based on big data |
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