CN110636514B - NB-IoT-based field network quality analysis method - Google Patents
NB-IoT-based field network quality analysis method Download PDFInfo
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- CN110636514B CN110636514B CN201910985098.3A CN201910985098A CN110636514B CN 110636514 B CN110636514 B CN 110636514B CN 201910985098 A CN201910985098 A CN 201910985098A CN 110636514 B CN110636514 B CN 110636514B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W16/00—Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures
- H04W16/18—Network planning tools
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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
Abstract
The invention discloses a field network quality analysis method based on NB-IoT, wherein an industry terminal and an NB-IoT network quality analyzer are arranged in a shielding box together to test respective received signal values before field network quality test is carried out, so that an average signal difference value between the industry terminal and the NB-IoT network quality analyzer is formed, and the average signal difference value is uploaded to a cloud platform; the cloud platform obtains a field signal reference range value C by combining the average signal difference value based on an industry standard; configuring an NB-IoT network quality analyzer on a field environment monitoring current signal value with deployment, comparing the current signal value with a range reference value which can be issued by a platform to judge whether the environment meets the deployment requirement of an industry terminal, and re-planning the deployment site of the industry terminal when the environment does not meet the deployment requirement of the industry terminal. The invention takes the test signal of the network quality analyzer as the reference basis of the signal quality received by the industry terminal, and gets rid of the dependence on external equipment.
Description
Technical Field
The invention relates to the technical field of wireless networks, in particular to a field network quality analysis method based on NB-IoT.
Background
With the rapid nationwide deployment of NB-IoT, users in various industries have put an urgent need for portable and reliable field signal quality testing terminals.
On-site test terminals on the market are usually connected with android mobile phones or computers in a Bluetooth or data line mode, the test terminals receive on-site signals, and data are read through the mobile phones or the computers for display.
However, no signal calibration is performed between the field test terminal and the product actually deployed. Due to the reasons of design, device type selection and the like, the signal receiving of two devices at the same time and the same place also has deviation, and sometimes, the test terminal reflects that the field signal quality is good, but the data is lost after the product is deployed.
However, the use of bluetooth or data line to connect the testing terminal of the mobile phone or computer requires the system of the mobile phone and computer, and cannot adapt to all systems.
Disclosure of Invention
The invention aims to provide a field network quality analysis method based on NB-IoT.
The technical scheme adopted by the invention is as follows:
an NB-IoT based field network quality analysis method, comprising the steps of:
step 1, preparing an industry terminal and an NB-IoT network quality analyzer, and respectively initializing;
step 2, placing the industry terminal and the NB-IoT network quality analyzer in a signal shielding box;
step 3, a base station signal is injected into a shielding box through a radio frequency line;
step 4, respectively obtaining a signal value X received by the NB-IoT network quality analyzer and a signal value Y received by the industry terminal for M times,
step 5, respectively calculating a difference value Z between the signal value X and the signal value Y read each time, calculating an average difference value Z 'of M times, and uploading the average difference value Z' to a cloud platform;
step 6, the cloud platform calculates and obtains a reference range value C of the field signal by combining the industry standard and the average difference value Z',
step 7, configuring the NB-IoT network quality analyzer in the field environment of the deployment site of the terminal product to obtain a field signal value X',
8, the NB-IoT network quality analyzer acquires a reference range value C from the cloud platform, and compares the field signal value X' with the reference range value C to judge whether the deployment requirement is met;
when the field signal value X' is within the reference range value C, planning terminal product deployment according with deployment requirements;
and when the field signal value X' is not in the reference range value C, judging that the deployment site of the terminal product is not required to be re-planned according to the deployment requirement.
Further, the signal value X and the signal value Y are continuously acquired 50 times in step 4.
Further, in step 5, the average difference value Z' = [ (X1-Y1) + (X2-Y2) + \8230 + (X50-Y50) ]/50).
Further, in step 5, the NB-IoT network quality analyzer uploads the average difference value Z' and simultaneously uploads the device type of the corresponding industry terminal.
Further, in step 6, the cloud platform is in communication connection with the NB-IoT network quality analyzer, and corresponding reference range values C are respectively calculated according to different industry terminal types.
Further, in step 8, the NB-IoT network quality analyzer obtains the corresponding reference range value C from the cloud platform according to the device type of the industry terminal.
Further, the NB-IoT network quality analyzer is configured with an OLED screen for interactive operation and numerical display.
By adopting the technical scheme, the industry terminal and the NB-IoT network quality analyzer are arranged in a shielding box together to test respective received signal values before field network quality testing is carried out, so that an average signal difference value between the industry terminal and the NB-IoT network quality analyzer is formed, and the average signal difference value is uploaded to a cloud platform; the cloud platform obtains a field signal reference range value C by combining the average signal difference value based on the industry standard; and then the NB-IoT network quality analyzer is configured on the site environment with deployment to monitor the current signal value, the platform can issue a threshold value to the NB-IoT network quality analyzer, and the NB-IoT network quality analyzer can judge whether the environment meets the deployment requirement of the industry terminal according to the threshold value and replan the deployment site of the industry terminal when the environment does not meet the deployment requirement. The invention solves the problem that the quality of the signal received by the test terminal on the market can not be used as the reference basis of the quality of the signal received by the industrial terminal, and gets rid of the dependence on the operating system of the external equipment.
Drawings
The invention is described in further detail below with reference to the accompanying drawings and the detailed description;
fig. 1 is a flowchart illustrating an NB-IoT based field network quality analysis method according to the present invention.
Detailed Description
As shown in fig. 1, the present invention discloses an NB-IoT based field network quality analysis method, which comprises the following steps:
step 1, preparing an industry terminal and an NB-IoT network quality analyzer, and respectively initializing;
step 2, placing the industry terminal and the NB-IoT network quality analyzer in a signal shielding box;
step 3, a base station signal is injected into a shielding box through a radio frequency line;
step 4, respectively obtaining a signal value X received by the NB-IoT network quality analyzer and a signal value Y received by the industry terminal for M times,
further, as a preferred embodiment, the signal value X and the signal value Y are acquired 50 times in succession;
step 5, respectively calculating a difference value Z between the signal value X and the signal value Y read each time, calculating an average difference value Z 'of M times, and uploading the average difference value Z' to a cloud platform;
specifically, following the above example, the average difference value Z' = [ (X1-Y1) + (X2-Y2) + \8230 + (X50-Y50) ]/50);
further, in the step 5, the NB-IoT network quality analyzer uploads the average difference value Z' and simultaneously uploads the device type of the corresponding industry terminal;
step 6, calculating by the cloud platform in combination with the industry standard and the average difference value Z' to obtain a field signal reference range value C; further, the NB-IoT network quality analyzer respectively calculates corresponding reference range values C according to different industry terminal types;
further, the NB-IoT network quality analyzer is configured with an OLED screen for interactive operation and numerical display;
step 7, configuring the NB-IoT network quality analyzer in the field environment of the deployment site of the terminal product to obtain a field signal value X';
and 8, acquiring the reference range value C from the cloud platform by the NB-IoT network quality analyzer, and specifically acquiring the corresponding reference range value C from the cloud platform by the NB-IoT network quality analyzer according to the equipment type of the industry terminal. The NB-IoT network quality analyzer compares the field signal value X' with the reference range value C to judge whether the deployment requirement is met;
when the field signal value X' is within the reference range value C, planning terminal product deployment according with deployment requirements;
and when the field signal value X' is not in the reference range value C, judging that the deployment requirement is not met, and replanning the deployment site of the terminal product.
Further, the NB-IoT network quality analyzer is configured with an OLED screen for interactive operation and numerical display.
By adopting the technical scheme, the industry terminal and the NB-IoT network quality analyzer are placed in a shielding box together to test respective received signal values before field network quality testing is carried out, so that an average signal difference value of the industry terminal and the NB-IoT network quality analyzer is formed, and the average signal difference value is uploaded to a cloud platform; the cloud platform obtains a field signal reference range value C by combining the average signal difference value based on the industry standard; and then the NB-IoT network quality analyzer is configured on the site environment with deployment to monitor the current signal value, the platform can issue a threshold value to the NB-IoT network quality analyzer, and the NB-IoT network quality analyzer can judge whether the environment meets the deployment requirement of the industry terminal according to the threshold value and replan the deployment site of the industry terminal when the environment does not meet the deployment requirement. The invention solves the problem that the quality of the signal received by the test terminal on the market can not be used as the reference basis of the quality of the signal received by the industrial terminal, and gets rid of the dependence on the operating system of the external equipment.
Claims (6)
1. The NB-IoT based field network quality analysis method is characterized by comprising the following steps: which comprises the following steps:
step 1, preparing an industry terminal and an NB-IoT network quality analyzer, and respectively initializing;
step 2, placing the industry terminal and the NB-IoT network quality analyzer in a signal shielding box;
step 3, a base station signal is injected into a shielding box through a radio frequency line;
step 4, respectively obtaining a signal value X received by the NB-IoT network quality analyzer and a signal value Y received by the industry terminal for M times,
step 5, respectively calculating a difference value Z between the signal value X and the signal value Y read each time, calculating an average difference value Z 'of M times, and uploading the average difference value Z' to a cloud platform;
step 6, the cloud platform calculates and obtains a reference range value C of the field signal by combining the industry standard and the average difference value Z',
the cloud platform is in communication connection with the NB-IoT network quality analyzer, and respectively calculates corresponding reference range values C according to different industry terminal types;
step 7, configuring the NB-IoT network quality analyzer in the field environment of the deployment site of the terminal product to obtain a field signal value X',
step 8, the NB-IoT network quality analyzer acquires a reference range value C from the cloud platform, and compares the field signal value X' with the reference range value C to judge whether the deployment requirement is met;
when the field signal value X' is within the reference range value C, planning terminal product deployment according with deployment requirements;
and when the field signal value X' is not in the reference range value C, judging that the deployment site of the terminal product is not required to be re-planned according to the deployment requirement.
2. The NB-IoT based on-site network quality analysis method as recited in claim 1, wherein: in step 4, the signal value X and the signal value Y are continuously obtained 50 times.
3. The NB-IoT based on-site network quality analysis method as recited in claim 2, wherein: in the step 5, an average difference value Z' = [ (X1-Y1) + (X2-Y2) + \8230 + (X50-Y50) ]/50, wherein X1, X2 \8230, X50 respectively represent 50 continuous signal values of an NB-IoT network quality analyzer, Y1, Y2 \8230, and Y50 respectively represent 50 continuous signal values of an industry terminal.
4. The NB-IoT based on-site network quality analysis method as recited in claim 1, wherein: and 5, uploading the average difference value Z' and uploading the corresponding equipment type of the industry terminal by the NB-IoT network quality analyzer.
5. The NB-IoT based on-site network quality analysis method as recited in claim 1, wherein: and 8, acquiring a corresponding reference range value C from the cloud platform by the NB-IoT network quality analyzer according to the equipment type of the industry terminal.
6. The NB-IoT based on-site network quality analysis method as recited in claim 1, wherein: the NB-IoT network quality analyzer is configured with an OLED screen for interactive operation and numerical display.
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