CN111130945B - Data monitoring cloud platform and use method - Google Patents
Data monitoring cloud platform and use method Download PDFInfo
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- CN111130945B CN111130945B CN201911391408.5A CN201911391408A CN111130945B CN 111130945 B CN111130945 B CN 111130945B CN 201911391408 A CN201911391408 A CN 201911391408A CN 111130945 B CN111130945 B CN 111130945B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/08—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
- H04L43/0876—Network utilisation, e.g. volume of load or congestion level
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/04—Processing captured monitoring data, e.g. for logfile generation
- H04L43/045—Processing captured monitoring data, e.g. for logfile generation for graphical visualisation of monitoring data
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/08—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
- H04L43/0876—Network utilisation, e.g. volume of load or congestion level
- H04L43/0894—Packet rate
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/16—Threshold monitoring
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L47/00—Traffic control in data switching networks
- H04L47/10—Flow control; Congestion control
Abstract
The invention discloses a data monitoring cloud platform, which comprises: the system comprises a network flow monitoring module, a data analysis module and a network flow control module, and is used for establishing the correlation between the information monitored by the network flow monitoring module and the historical monitoring data. The invention replaces the existing technology that when the flow or the network speed of a certain node is abnormal and the flow of other nodes is reduced or the network is disconnected, the data analysis module can be used for analyzing in time to quantitatively evaluate the abnormal degree of the system, when the node is judged to be abnormal, the network flow and the network speed of the node are controlled and shunted in time through the network flow control module, secondary monitoring is carried out immediately after the control and the shunting, and when the result of the network flow and the network speed of secondary comparison still exceeds a set value, the network flow of the node is closed immediately to ensure the use of the whole network flow data, thereby realizing the flow analysis and the accurate control of each network node.
Description
Technical Field
The invention relates to the technical field of data monitoring, in particular to a data monitoring cloud platform and a using method of the data monitoring cloud platform.
Background
At present, under the situation that the computer technology and the automation technology are continuously and widely applied, the distributed system of the computer is also widely applied, a network subsystem in the system has a very important function, has the function of connecting each terminal, and also has the function of exchanging information, so that the terminals have the characteristic of high-efficiency operation, the operation of the system is required to play a role of strictly monitoring the operation state, and most importantly, the network flow and the network speed are monitored and controlled.
In the prior art, when a plurality of nodes are monitored for flow and network speed, when the flow or the network speed of a certain node is abnormal and the flow of other nodes is reduced or the network is disconnected, a targeted response cannot be made in time, and the actual using effect is not ideal, so that a data monitoring cloud platform and a using method are provided.
Disclosure of Invention
The invention aims to provide a data monitoring cloud platform and a data monitoring cloud method, and solves the problem that when the flow or the network speed of a certain node is abnormal and the flow of other nodes is reduced or the network is disconnected, a targeted response cannot be made in time when the flow or the network speed of the certain node is monitored in the prior art.
In order to achieve the purpose, the invention provides the following technical scheme:
a data monitoring cloud platform, comprising:
the network flow monitoring module comprises a flow monitoring unit, a network speed monitoring unit and a visual analysis management module, wherein the flow monitoring unit is used for monitoring the network flow of each node, the network speed monitoring unit is used for monitoring the network speed condition of each node, and the flow monitoring unit and the network speed monitoring unit send the acquired information to the visual analysis management module;
the data analysis module is used for establishing the correlation between the measurement on the information monitored by the network flow monitoring module and the historical monitoring data to form a measurement correlation diagram so as to evaluate the importance degree of the measurement, calculating the characteristic vector of the monitoring data by utilizing Principal Component Analysis (PCA), and establishing a linear regression equation of a data source in a cloud computing environment so as to quantitatively evaluate the abnormal degree of the system;
the network flow control module comprises a grouping counting register which can be connected to a plurality of nodes of a network line and is used for analyzing the flow size, the network speed and the data type information of each node and recording the flow values of the nodes in the register; the controller is used for comparing the flow values and the network speeds of the nodes with corresponding set values in the counting register, and managing, controlling and shunting the network flow and the network speeds;
a data monitoring cloud platform using method comprises the following steps:
s1: setting parameters, namely setting the upper limit of the flow and the upper limit of the network speed of a certain node or a plurality of nodes through an input module;
s2: monitoring data, namely monitoring the flow and the network speed of a certain node or a plurality of nodes in real time through a network flow monitoring module, and calling historical monitoring data for comparison when a monitoring value exceeds the upper limit of a set value;
s3: flow and network speed control, wherein when the real-time monitoring data and the historical monitoring data are abnormal in increase, a controller is activated to control and shunt the network flow and the network speed of the abnormal node;
s4: performing secondary comparison, namely monitoring the network flow and the network speed data of the node again immediately after the network flow and the network speed of the abnormal node are controlled and distributed by the controller, and setting data in a register for secondary comparison;
s5: and (3) final processing, wherein the final processing result specifically comprises the following steps:
1) immediately closing the network flow of the node;
2) and immediately returning to the step S2 to monitor the traffic and the network speed of a certain node or a plurality of nodes in real time.
When the network flow and the network speed result of the secondary comparison still exceed the set values, processing by adopting a final processing result 1, and feeding back the final result to relevant workers through a visual analysis management module;
and when the network flow and the network speed result of the secondary comparison are within the range of the set value, processing by adopting a final processing result 2.
Preferably, the network flow monitoring module, the data analysis module and the network flow control module are in communication connection through a communication unit, and the communication unit is one or more of 5G, 4G, 3G, GSM and WIFI.
Preferably, the network traffic control module further includes an input module, the input module includes a keyboard, a mouse, and an electronic writing board, and the input module supports one or a combination of the following interfaces: the universal serial interface, the computer serial port, the computer parallel port, the PCMCIA interface, the PS/2 interface, the wireless communication interface and the infrared communication interface are used for manually inputting the set value in the grouping counting register.
Preferably, the controller includes a calculation module configured to calculate a sum of flows of a node at a certain interval according to the information monitored by the data analysis module, and an adjustment module configured to adjust the flow and the network speed of the node according to the sum of flows of nodes at a certain interval counted by the calculation module.
Preferably, the visual analysis management module comprises a digital-to-analog converter for processing conversion between digital signals and analog signals; a display for displaying an image; the image dividing unit is used for processing the fed images to be displayed in the divided areas on the display.
Preferably, the data analysis module further comprises a data storage module, and the data storage module is used for storing historical monitoring data, so that the real-time monitoring data monitored by the network flow monitoring module in real time can be compared with the average value of the historical simultaneous monitoring data.
Compared with the prior art, the invention has the beneficial effects that:
1. the invention replaces the existing technology that when the flow or the network speed of a certain node is abnormal and the flow of other nodes is reduced or the network is disconnected, the data analysis module can be used for analyzing in time to quantitatively evaluate the abnormal degree of the system, when the node is judged to be abnormal, the network flow and the network speed of the node are controlled and shunted in time through the network flow control module, secondary monitoring is carried out immediately after the control and the shunting, and when the result of the network flow and the network speed of secondary comparison still exceeds a set value, the network flow of the node is closed immediately to ensure the use of the whole network flow data, thereby realizing the flow analysis and the accurate control of each network node.
Drawings
FIG. 1 is a block diagram of a data monitoring cloud platform system of the present invention;
fig. 2 is a schematic flow chart of a method for using the data monitoring cloud platform according to the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be described clearly and completely with reference to the accompanying drawings of the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be obtained by a person skilled in the art without any inventive step based on the embodiments of the present invention, are within the scope of the present invention. Thus, the following detailed description of the embodiments of the present invention, presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be obtained by a person skilled in the art without any inventive step based on the embodiments of the present invention, are within the scope of the present invention.
In the description of the present invention, it is to be understood that the terms indicating an orientation or positional relationship are based on the orientation or positional relationship shown in the drawings only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and thus, should not be construed as limiting the present invention.
In the present invention, unless otherwise expressly stated or limited, the terms "mounted," "connected," "secured," and the like are to be construed broadly and can, for example, be fixedly connected, detachably connected, or integrally formed; can be mechanically or electrically connected; either directly or indirectly through intervening media, either internally or in any other relationship. The specific meaning of the above terms in the present invention can be understood by those of ordinary skill in the art from the specification.
Example 1
Referring to fig. 1, the present invention provides a technical solution: the network flow monitoring module comprises a flow monitoring unit, a network speed monitoring unit and a visual analysis management module, wherein the flow monitoring unit is used for monitoring the network flow of each node, the network speed monitoring unit is used for monitoring the network speed condition of each node, and the flow monitoring unit and the network speed monitoring unit send the acquired information to the visual analysis management module;
the data analysis module is used for establishing the correlation between the measurement on the information monitored by the network flow monitoring module and the historical monitoring data to form a measurement correlation diagram so as to evaluate the importance degree of the measurement, calculating the characteristic vector of the monitoring data by utilizing Principal Component Analysis (PCA), and establishing a linear regression equation of a data source in a cloud computing environment so as to quantitatively evaluate the abnormal degree of the system;
the network flow control module comprises a grouping counting register which can be connected to a plurality of nodes of a network line and is used for analyzing the flow size, the network speed and the data type information of each node and recording the flow values of the nodes in the register; and the controller is used for comparing the flow values and the network speeds of the nodes with corresponding set values in the counting register, and managing, controlling and shunting the network flow and the network speeds.
2. The data monitoring cloud platform of claim 1, wherein: the network flow monitoring module, the data analysis module and the network flow control module are in communication connection through a communication unit, and the communication unit is one or more of 5G, 4G, 3G, GSM and WIFI.
3. The data monitoring cloud platform of claim 1, wherein: the network flow control module further comprises an input module, the input module comprises a keyboard, a mouse and an electronic writing board, and the input module supports one or a combination of the following interfaces: the universal serial interface, the computer serial port, the computer parallel port, the PCMCIA interface, the PS/2 interface, the wireless communication interface and the infrared communication interface are used for manually inputting the set value in the grouping counting register.
4. The data monitoring cloud platform of claim 1, wherein: the controller comprises a calculation module used for calculating the flow sum of a certain node at a section of interval according to the information monitored by the data analysis module, and an adjustment module used for adjusting the flow size and the network speed of the node according to the flow sum of the node at the section of interval counted by the calculation module.
5. The data monitoring cloud platform of claim 1, wherein: the visual analysis management module comprises a digital-to-analog converter for processing conversion between digital signals and analog signals; a display for displaying an image; the image dividing unit is used for processing the fed images to be displayed in the divided areas on the display.
6. The data monitoring cloud platform of claim 1, wherein: the data analysis module further comprises a data storage module, and the data storage module is used for storing historical monitoring data, so that the real-time monitoring data monitored by the network flow monitoring module in real time can be compared with the average value of the historical simultaneous monitoring data.
Example 2
The invention provides a data monitoring cloud platform using method, which comprises the following steps:
s1: setting parameters, namely setting the upper limit of the flow and the upper limit of the network speed of a certain node or a plurality of nodes through an input module;
s2: monitoring data, namely monitoring the flow and the network speed of a certain node or a plurality of nodes in real time through a network flow monitoring module, and calling historical monitoring data for comparison when a monitoring value exceeds the upper limit of a set value;
s3: flow and network speed control, wherein when the real-time monitoring data and the historical monitoring data are abnormal in increase, a controller is activated to control and shunt the network flow and the network speed of the abnormal node;
s4: performing secondary comparison, namely monitoring the network flow and the network speed data of the node again immediately after the network flow and the network speed of the abnormal node are controlled and distributed by the controller, and setting data in a register for secondary comparison;
s5: and finally, when the network flow and the network speed result of the secondary comparison still exceed the set values, immediately closing the network flow of the node, and feeding back the final result to related workers through a visual analysis management module.
Example 3
S1: setting parameters, namely setting the upper limit of the flow and the upper limit of the network speed of a certain node or a plurality of nodes through an input module;
s2: monitoring data, namely monitoring the flow and the network speed of a certain node or a plurality of nodes in real time through a network flow monitoring module, and calling historical monitoring data for comparison when a monitoring value exceeds the upper limit of a set value;
s3: flow and network speed control, wherein when the real-time monitoring data and the historical monitoring data are abnormal in increase, a controller is activated to control and shunt the network flow and the network speed of the abnormal node;
s4: performing secondary comparison, namely monitoring the network flow and the network speed data of the node again immediately after the network flow and the network speed of the abnormal node are controlled and distributed by the controller, and setting data in a register for secondary comparison;
s5: and finally, when the network flow and the network speed result of the secondary comparison are within the range of the set value, immediately returning to the step S2 to perform real-time monitoring on the flow and the network speed of a certain node or a plurality of nodes.
In summary, the following steps: the invention replaces the existing technology that when the flow or the network speed of a certain node is abnormal and the flow of other nodes is reduced or the network is disconnected, the data analysis module can be used for analyzing in time to quantitatively evaluate the abnormal degree of the system, when the node is judged to be abnormal, the network flow and the network speed of the node are controlled and shunted in time through the network flow control module, secondary monitoring is carried out immediately after the control and the shunting, and when the result of the network flow and the network speed of secondary comparison still exceeds a set value, the network flow of the node is closed immediately to ensure the use of the whole network flow data, thereby realizing the flow analysis and the accurate control of each network node.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered to be within the technical scope of the present invention, and the technical solutions and the inventive concepts thereof according to the present invention should be equivalent or changed within the scope of the present invention.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Claims (6)
1. A data monitoring cloud platform, comprising:
the network flow monitoring module comprises a flow monitoring unit, a network speed monitoring unit and a visual analysis management module, wherein the flow monitoring unit is used for monitoring the network flow of each node, the network speed monitoring unit is used for monitoring the network speed condition of each node, and the flow monitoring unit and the network speed monitoring unit send the acquired information to the visual analysis management module;
the data analysis module is used for establishing the correlation between the measurement on the information monitored by the network flow monitoring module and the historical monitoring data to form a measurement correlation diagram so as to evaluate the importance degree of the measurement, calculating the characteristic vector of the monitoring data by utilizing Principal Component Analysis (PCA), and establishing a linear regression equation of a data source in a cloud computing environment so as to quantitatively evaluate the abnormal degree of the system;
the network flow control module comprises a grouping counting register which can be connected to a plurality of nodes of a network line and is used for analyzing the flow size, the network speed and the data type information of each node and recording the flow values of the nodes in the register; the controller is used for comparing the flow values and the network speeds of the nodes with corresponding set values in the counting register, and managing, controlling and shunting the network flow and the network speeds;
a data monitoring cloud platform using method comprises the following steps:
s1: setting parameters, namely setting the upper limit of the flow and the upper limit of the network speed of a certain node or a plurality of nodes through an input module;
s2: monitoring data, namely monitoring the flow and the network speed of a certain node or a plurality of nodes in real time through a network flow monitoring module, and calling historical monitoring data for comparison when a monitoring value exceeds the upper limit of a set value;
s3: flow and network speed control, wherein when the real-time monitoring data and the historical monitoring data are abnormal in increase, a controller is activated to control and shunt the network flow and the network speed of the abnormal node;
s4: performing secondary comparison, namely monitoring the network flow and the network speed data of the node again immediately after the network flow and the network speed of the abnormal node are controlled and distributed by the controller, and setting data in a register for secondary comparison;
s5: and (3) final processing, wherein the final processing result specifically comprises the following steps:
1) immediately closing the network flow of the node;
2) immediately returning to the step S2 to monitor the flow and the network speed of a certain node or a plurality of nodes in real time;
when the network flow and the network speed result of the secondary comparison still exceed the set values, processing by adopting a final processing result 1, and feeding back the final result to relevant workers through a visual analysis management module;
and when the network flow and the network speed result of the secondary comparison are within the range of the set value, processing by adopting a final processing result 2.
2. The data monitoring cloud platform of claim 1, wherein: the network flow monitoring module, the data analysis module and the network flow control module are in communication connection through a communication unit, and the communication unit is one or more of 5G, 4G, 3G, GSM and WIFI.
3. The data monitoring cloud platform of claim 1, wherein: the network flow control module further comprises an input module, the input module comprises a keyboard, a mouse and an electronic writing board, and the input module supports one or a combination of the following interfaces: the universal serial interface, the computer serial port, the computer parallel port, the PCMCIA interface, the PS/2 interface, the wireless communication interface and the infrared communication interface are used for manually inputting the set value in the grouping counting register.
4. The data monitoring cloud platform of claim 1, wherein: the controller comprises a calculation module used for calculating the flow sum of a certain node at a section of interval according to the information monitored by the data analysis module, and an adjustment module used for adjusting the flow size and the network speed of the node according to the flow sum of the node at the section of interval counted by the calculation module.
5. The data monitoring cloud platform of claim 1, wherein: the visual analysis management module comprises a digital-to-analog converter for processing conversion between digital signals and analog signals; a display for displaying an image; the image dividing unit is used for processing the fed images to be displayed in the divided areas on the display.
6. The data monitoring cloud platform of claim 1, wherein: the data analysis module further comprises a data storage module, and the data storage module is used for storing historical monitoring data, so that the real-time monitoring data monitored by the network flow monitoring module in real time can be compared with the average value of the historical simultaneous monitoring data.
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| CN113507456B (en) * | 2021-06-25 | 2022-08-19 | 中标慧安信息技术股份有限公司 | Illegal attack monitoring method for Internet of things platform |
| CN114401145A (en) * | 2022-01-20 | 2022-04-26 | 北京邮电大学 | Network flow detection system and method |
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