CN112714464A - Large-scale distributed monitoring method based on position information matching - Google Patents
Large-scale distributed monitoring method based on position information matching Download PDFInfo
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- CN112714464A CN112714464A CN202011572672.1A CN202011572672A CN112714464A CN 112714464 A CN112714464 A CN 112714464A CN 202011572672 A CN202011572672 A CN 202011572672A CN 112714464 A CN112714464 A CN 112714464A
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 51
- 238000000034 method Methods 0.000 title claims abstract description 34
- 238000012360 testing method Methods 0.000 claims abstract description 45
- 230000003993 interaction Effects 0.000 claims description 10
- 230000000007 visual effect Effects 0.000 claims description 7
- 230000008878 coupling Effects 0.000 claims description 4
- 238000010168 coupling process Methods 0.000 claims description 4
- 238000005859 coupling reaction Methods 0.000 claims description 4
- 238000005516 engineering process Methods 0.000 claims description 4
- 238000012790 confirmation Methods 0.000 claims description 3
- 238000013461 design Methods 0.000 claims description 3
- 230000001360 synchronised effect Effects 0.000 claims description 3
- 238000012800 visualization Methods 0.000 claims description 3
- 230000008569 process Effects 0.000 abstract description 6
- 230000005540 biological transmission Effects 0.000 abstract description 2
- 238000001228 spectrum Methods 0.000 abstract description 2
- 238000005259 measurement Methods 0.000 description 5
- 238000000691 measurement method Methods 0.000 description 3
- 238000013500 data storage Methods 0.000 description 1
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W24/00—Supervisory, monitoring or testing arrangements
- H04W24/08—Testing, supervising or monitoring using real traffic
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W56/00—Synchronisation arrangements
- H04W56/001—Synchronization between nodes
Abstract
The invention discloses a large-scale distributed monitoring method based on position information matching, which realizes the full-flow working state monitoring of hundreds of wireless network nodes in the test process by establishing a monitoring database integrating test tasks, instructions and network node position information, and visually displays the node equipment numbers, the working states and the position information on a monitoring interface, thereby positioning the measuring nodes with faults in real time, quickly, accurately and clearly. The wireless network monitoring method disclosed by the invention has strong expansibility, can be expanded according to the scale of the wireless network required by the test, realizes the monitoring of the large-scale distributed wireless network, and only monitors the network nodes for collecting data in the test process, thereby avoiding the invalid data transmission from occupying wireless spectrum resources or time resources, saving the network expense and providing a powerful guarantee for finding the normal operation of the test network in a severe environment.
Description
Technical Field
The invention belongs to the field of wireless network monitoring, and particularly relates to a large-scale distributed wireless network monitoring method based on position information matching.
Background
When a test is performed in an extremely severe environment with local high temperature, high pressure, etc. in the ocean, the unmanned gobi, the forest, the desert, etc., the test data is generally obtained by means of a data storage and recovery method, a wired measurement method, a wireless measurement method, etc., wherein the wireless measurement method is one of the most effective methods for obtaining the test data.
The method includes the steps that test data measurement is carried out through a wireless network, each network measurement node is tested before a test is carried out, it is guaranteed that each network node works in a normal state before the test is carried out, whether each measurement node works according to a preset function or not still needs to be monitored in real time in the test process, if the network node is not monitored, once some important nodes break down, the failed nodes cannot acquire test data in time, and whether the network node breaks down or the test is unreasonable cannot be judged after the test, so that data acquisition fails, therefore, the whole-process real-time monitoring of the test must be carried out on each network measurement node, and the test is guaranteed to be carried out smoothly.
In the prior art, monitoring methods for large-scale distributed wireless network nodes are mainly divided into two types, the first type is a monitoring method based on a computer network, the method firstly collects running state information of all computers in the network, and then excavates and processes the obtained state information data, so that the functions of monitoring and maintaining a large-scale network terminal are realized, the method is only used in an environment with a network foundation and cannot be applied to test environments without the network foundation, such as oceans, unmanned Gobi, forests, deserts and the like; the second method is a monitoring method based on ad hoc network technology, which monitors the working state of the whole network based on a special network formed by ad hoc network devices in a mode of coupling a network topology structure and a GPS position, but because the ad hoc network devices need to update routes at regular time or irregular time, the cost is higher, the number of nodes of a single-layer network of the ad hoc network is limited, and if a hierarchical network is designed, a complex network structure and algorithm are needed, so the method has the problems of complex monitoring network structure and high cost for constructing the monitoring network, and cannot be suitable for monitoring of large-scale distributed wireless networks.
Therefore, a monitoring method for a large-scale distributed wireless network is needed to realize real-time monitoring of the working state of each network node of the large-scale distributed wireless network.
Disclosure of Invention
In view of the above, the present invention provides a large-scale distributed wireless network monitoring method based on location information matching, which strongly associates the geographical location information of hundreds of network nodes with the working state of a network system, and realizes convenient, intuitive and real-time monitoring of the working state of the network nodes through a task-streamlined system control method.
In order to achieve the purpose, the invention adopts the following technical scheme: a large-scale distributed wireless network monitoring method based on location information matching comprises the following steps:
1.1. self-checking all network nodes in the wireless network system and hardware working state, and inquiring working parameters of all network nodes and working state information of each network node;
1.2. arranging network nodes in a normal working state in an area required by a test;
1.3. establishing a database based on the test full-flow task and the geographical position information of each network node, and carrying out visual human-computer interaction wireless network monitoring interface design on the basis of the established database;
1.4. setting a monitoring period T;
1.5. executing a test data acquisition command, and remotely monitoring parameters of all network nodes for data acquisition in the whole test flow in real time; if all the network nodes work normally, each network node sends a confirmation signal to the monitoring center, and the step 1.5 is returned when the next monitoring period comes; if any network node works abnormally, executing the step 1.6;
1.6. the monitoring center remotely controls the fault node, monitors the working state of the number of the fault node after adjusting the parameter of the fault node, and if the fault node still can not work normally, the fault node needs to be replaced on site manually and the fault information of the fault node is recorded; and if the fault node can work normally, judging the next fault node, updating the database in the step 1.3 until all the fault nodes work normally, and returning to the step 1.5.
Preferably, the step 1.3 includes the following steps:
1.3.1. inquiring the whole network node to obtain the equipment number and the working state information of the network node arranged in the test area;
1.3.2. issuing time synchronization information to each network node;
1.3.3. node state query is carried out, and it is confirmed that each network node works at the same time, so that the network system is in a synchronous state;
1.3.4. acquiring position information of each network node in a wireless network system;
1.3.5. coupling all task instructions in the whole test flow with the equipment numbers and the geographic positions of all network nodes to form a database integrating instruction tasks and network node information;
1.3.6. and (4) establishing a visual wireless network monitoring man-machine interaction interface by adopting a visualization technology based on the database in the step 1.3.5.
Preferably, the human-computer interaction interface displays the position information, the equipment numbers and the working states of all network nodes in the wireless network, and represents the working states of the network nodes through indicator lights in different shapes.
Preferably, the number of network nodes in the wireless network system in step 1.1 may be expanded according to actual requirements.
The large-scale distributed wireless network monitoring method based on the position information matching has the advantages that the monitoring database integrating all monitoring tasks, instructions and wireless network node position information of the test is established, the monitoring of the working states of hundreds of wireless network nodes in each process of the test is realized, the node equipment numbers, the working states and the position information are visually displayed on a human-computer interaction interface, the network nodes with faults are positioned in real time, quickly, accurately and clearly, and powerful guarantee is provided for the normal operation of the test network in a severe environment; and only the network nodes for collecting data are monitored in the test process, so that the occupation of wireless spectrum resources or time resources by invalid data transmission is avoided, and the network expenditure is saved.
Drawings
FIG. 1 is a flow chart of a large-scale distributed monitoring method based on location information matching according to the present invention;
fig. 2 is a schematic view of a human-computer interaction interface of a visual monitoring database established in the present invention.
Detailed Description
It will be appreciated by those of ordinary skill in the art that the embodiments described herein are intended to assist the reader in understanding the principles of the invention and are to be construed as being without limitation to such specifically recited embodiments and examples. Those skilled in the art can make various other specific changes and combinations based on the teachings of the present invention without departing from the spirit of the invention, and these changes and combinations are within the scope of the invention.
The present invention will be described in detail with reference to the accompanying drawings.
A large-scale distributed monitoring method based on location information matching as shown in fig. 1, the method comprising the steps of:
1.1. self-checking all network nodes in the wireless network system and hardware working state, and inquiring working parameters of all network nodes and working state information of each network node; the working parameters of the network nodes comprise working voltage, sampling rate, resolution, storage switches and other parameters, and the number of the network nodes in the wireless network can be expanded according to actual requirements.
1.2. Arranging network nodes in a normal working state in an area required by a test;
1.3. establishing a database based on the test full-flow task and the geographical position information of each network node, and carrying out visual human-computer interaction wireless network monitoring interface design based on the established database, wherein the operation of the step specifically comprises the following steps:
1.3.1. performing network query on the whole network node to acquire the equipment number and the working state information of the network node arranged in the test area;
1.3.2. issuing time synchronization information to each network node;
1.3.3. node state query is carried out, and it is confirmed that each network node works at the same time, so that the network system is in a synchronous state;
1.3.4. acquiring position information of each network node in a wireless network system;
1.3.5. coupling all task instructions in the whole test flow with the equipment numbers and the geographic positions of all network nodes to form a database integrating instruction tasks and network node information;
1.3.6. and (3) establishing a visual wireless network monitoring man-machine interaction interface by adopting a visualization technology based on the database in the step 1.3.5, as shown in figure 2. The task flow herein specifically includes: the system state monitoring system comprises tasks such as network system self-checking before testing, system state monitoring in the testing after network nodes are laid, and data acquisition starting instructions, data acquisition closing instructions, data acquisition and other instructions. The man-machine interaction interface can display the position information, the equipment numbers and the working states of all network nodes in the wireless network, and the working states of the network nodes are represented by indicating lamps in different shapes.
After the test task flows are coupled with the equipment numbers and the geographic positions of the network nodes, the states of all the network nodes can be monitored in each test flow, the measurement nodes with faults can be quickly and globally positioned on monitoring software, the fault nodes can be more conveniently replaced or recorded, and therefore correct analysis and problem positioning of subsequent test data are guaranteed.
1.4. Setting a monitoring period T;
1.5. executing a test data acquisition command, and remotely monitoring parameters of all network nodes for data acquisition in the whole test flow in real time; if all the network nodes work normally, each network node sends a confirmation signal to the monitoring center, and the step 1.5 is returned when the next monitoring period comes; if any network node works abnormally, executing the step 1.6;
1.6. the monitoring center remotely controls the fault node, monitors the working state of the number of the fault node after adjusting the parameter of the fault node, and if the fault node still can not work normally, the fault node needs to be replaced on site manually and the fault information of the fault node is recorded; and if the fault node can work normally, judging the next fault node, updating the database in the step 1.3 until all the fault nodes work normally, and returning to the step 1.5.
Claims (4)
1. A large-scale distributed monitoring method based on position information matching is characterized by comprising the following steps:
1.1. self-checking all network nodes in the wireless network system and hardware working state, and inquiring working parameters of all network nodes and working state information of each network node;
1.2. arranging network nodes in a normal working state in an area required by a test;
1.3. establishing a database based on the test full-flow task and the geographical position information of each network node, and carrying out visual human-computer interaction wireless network monitoring interface design on the basis of the established database;
1.4. setting a monitoring period T;
1.5. executing a test data acquisition command, and remotely monitoring parameters of all network nodes for data acquisition in the whole test flow in real time; if all the network nodes work normally, each network node sends a confirmation signal to the monitoring center, and the step 1.5 is returned when the next monitoring period comes; if any network node works abnormally, executing the step 1.6;
1.6. the monitoring center remotely controls the fault node, monitors the working state of the number of the fault node after adjusting the parameter of the fault node, and if the fault node still can not work normally, the fault node needs to be replaced on site manually and the fault information of the fault node is recorded; and if the fault node can work normally, judging the next fault node, updating the database in the step 1.3 until all the fault nodes work normally, and returning to the step 1.5.
2. The large-scale distributed monitoring method based on location information matching according to claim 1, wherein the step 1.3 comprises the following steps:
1.3.1. inquiring the whole network node to obtain the equipment number and the working state information of the network node arranged in the test area;
1.3.2. issuing time synchronization information to each network node;
1.3.3. node state query is carried out, and it is confirmed that each network node works at the same time, so that the network system is in a synchronous state;
1.3.4. acquiring position information of each network node in a wireless network system;
1.3.5. coupling all task instructions in the whole test flow with the equipment numbers and the geographic positions of all network nodes to form a database integrating instruction tasks and network node information;
1.3.6. and (4) establishing a visual wireless network monitoring man-machine interaction interface by adopting a visualization technology based on the database in the step 1.3.5.
3. The large-scale distributed monitoring method based on location information matching as claimed in claim 2, wherein the human-computer interface displays location information, equipment numbers and working states of all network nodes in the wireless network, and represents the working states of the network nodes through indicator lights with different shapes.
4. The large-scale distributed monitoring method based on location information matching as claimed in claim 1, wherein the number of network nodes in the wireless network system in step 1.1 can be expanded according to actual requirements.
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