CN112469048B - Method and system for acquiring coverage state of electric power wireless private network system based on actual measurement and correction, electronic equipment and readable storage medium - Google Patents
Method and system for acquiring coverage state of electric power wireless private network system based on actual measurement and correction, electronic equipment and readable storage medium Download PDFInfo
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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
- H04B—TRANSMISSION
- H04B17/00—Monitoring; Testing
- H04B17/30—Monitoring; Testing of propagation channels
- H04B17/309—Measuring or estimating channel quality parameters
- H04B17/318—Received signal strength
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B17/00—Monitoring; Testing
- H04B17/30—Monitoring; Testing of propagation channels
- H04B17/391—Modelling the propagation channel
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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
- H04W24/06—Testing, supervising or monitoring using simulated traffic
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W64/00—Locating users or terminals or network equipment for network management purposes, e.g. mobility management
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
Abstract
The invention discloses a method and a system for acquiring the coverage state of a wireless private network system of electric power based on actual measurement and correction, an electronic device and a readable storage medium, wherein the method comprises the following steps: acquiring actual measurement data of actual measurement terminals around each base station in a wireless private network area; reversely deducing a model variable parameter corresponding to each actual measurement terminal by using a propagation model based on actual measurement data of each actual measurement terminal, wherein the model variable parameter is a correction factor; selecting a terminal similar to the untested terminal from the actually measured terminals, calculating the path propagation loss of the untested terminal by using the correction factor and the propagation model of the similar terminal, and obtaining the signal intensity of the untested terminal by using the path propagation loss; and determining the signal coverage state of each base station by using the signal strength of the terminal at each position around the base station, and further obtaining the signal coverage state in the wireless private network area. The invention corrects the propagation model by using the measured data, so that the finally obtained signal coverage state is closer to the actual situation.
Description
Technical Field
The invention belongs to the technical field of wireless private power networks, and particularly relates to a method and a system for acquiring a coverage state of a wireless private power network system based on actual measurement correction, an electronic device and a readable storage medium.
Background
At present, the development of a safe, reliable and efficient smart grid has become a necessary trend. The intelligent power grid power distribution and utilization service has the characteristics of multiple terminal points, wide range, scattered distribution, large system capacity, high requirements on instantaneity and reliability and the like. Although the optical fiber communication mode has the advantage of strong service transmission capability, the deployment and construction difficulty is high, the cost is high, and the requirement for full coverage of mass power distribution and utilization terminals cannot be met. With the rapid development of wireless bandwidth communication technology, as a supplementary means for power wired optical fiber communication, the supporting capability of wireless communication for power distribution and utilization services has been well recognized, and more places incorporate the wireless technology into the construction of a local smart grid to solve the technical problems of intelligent full coverage of power distribution and utilization, full information acquisition and the like.
Based on the fact that the electromagnetic environment in the actual environment is complex, the actual situation cannot be accurately reflected only by means of simulation, and particularly the selection of the propagation model and parameters thereof is greatly influenced by the landform and the landform of the region where the propagation model is located and the surrounding electromagnetic environment. Therefore, it is an inevitable subject for the construction of the wireless private power networks in various regions to face the characteristic that the wireless private power networks are generally accessed as needed in the future, and how to construct a wireless communication network meeting the requirements of safe access and reliable transmission of local services in the wireless private power networks by combining actual working conditions such as actual spectrum resources and geographic environments.
Disclosure of Invention
The invention aims to provide a method, a system, electronic equipment and a readable storage medium for acquiring the coverage state of a power wireless private network system based on actual measurement and correction, wherein the method is used for correcting a propagation model of the power wireless private network by combining actual measurement data on the basis of theoretical simulation and utilizing the data obtained by actual measurement, so that each actual measurement terminal corresponds to a correction factor, and the propagation model is more matched with the actual working condition of the terminal; and aiming at the untested terminal, similar data of the tested terminal is selected to participate in calculation, and because the reliability of the correction factor of the tested terminal is high, the reliability of the data of the untested terminal is improved, the finally obtained signal coverage state is closer to the actual condition, and a foundation is laid for a wireless communication network for subsequent safe access and reliable transmission of local services.
On one hand, the invention provides a method for acquiring the coverage state of a wireless private network system of electric power based on actual measurement and correction, which comprises the following steps:
step 1: acquiring actual measurement data of actual measurement terminals around each base station in a wireless private network area, wherein representative position setting terminals are selected around each base station to carry out actual measurement to obtain the actual measurement data of the actual measurement terminals;
and 2, step: reversely deducing a model variable parameter corresponding to each actual measurement terminal by using a propagation model based on actual measurement data of each actual measurement terminal, wherein the model variable parameter is a correction factor;
and step 3: selecting a terminal similar to the untested terminal from the actually measured terminals, calculating the path propagation loss of the untested terminal by using the correction factor and the propagation model of the similar terminal, and obtaining the signal intensity of the untested terminal by using the path propagation loss;
and 4, step 4: and aiming at each base station, determining the signal coverage state of each base station by using the signal strength of the terminal at each position around the base station, and further obtaining the signal coverage state in the wireless private network area.
Optionally, the obtaining process of the model variable parameters is as follows: and calculating a path propagation loss value containing a model variable parameter based on the propagation model, and taking the difference between the transmitting power of the base station and the actually measured power in the actually measured data of the actually measured terminal as a path propagation loss actual value, thereby calculating the model variable parameter corresponding to the actually measured terminal.
Optionally, the propagation model is an Okumura-Hate model, and the empirical formula is as follows:
LM＝69.55+26.16lg(f)-13.82lg(ht)-α(hr)+[44.9-6.55lg(ht)]lg(d)
where LM is the path propagation loss value, f is the radio frequency used, ht is the height of the base station selected for measurement, d is the distance between the base station and the measured terminal, and α (hr) is the model variable parameter.
Optionally, the signal coverage state in the wireless private network area in step 4 is a signal coverage area, where it is determined whether the position of the terminal is in the signal coverage area according to a ratio of a signal level received by the terminal to a noise level;
if the ratio of the signal level to the noise level is smaller than a preset threshold, judging that the position of the terminal is not in a signal coverage area; otherwise, the terminal is located in the signal coverage area.
Optionally, in step 3, a terminal closest to the untested terminal is selected from all the tested terminals according to the distance as a similar terminal of the untested terminal;
and 3, when the path propagation loss of the untested terminal is calculated by using the correction factors and the propagation models of the similar terminals in the step 3, selecting the base station closest to the untested terminal to participate in calculation.
It should be understood that the distance is preferably used as the selection criterion, considering that the loss of signal transmission is closely related to the distance, the closer two terminals are, the more likely they are affected by the same base station, and the closer the path propagation loss. However, the present invention is not limited thereto, and any other means that can characterize the signal similarity of two terminals can be used in the present invention.
Optionally, when the measured terminal is measured, the corresponding base station is opened, and the other base stations are closed.
Optionally, the representative position of the measured terminal is determined according to the terrain surrounding the base station and/or the steady state selection of the terminal spectrum signal.
In a second aspect, the present invention provides a system for acquiring a coverage status of an electric power wireless private network system based on actual measurement and correction, including:
an actual measurement module: the method comprises the steps of acquiring measured data of measured terminals around each base station in a wireless private network area;
a correction factor acquisition module: the propagation model is used for reversely deducing a model variable parameter corresponding to each measured terminal based on the measured data of each measured terminal and by utilizing the propagation model, wherein the model variable parameter is a correction factor;
the unmeasured terminal processing module: the method comprises the steps of selecting a terminal similar to an untested terminal from the actually measured terminals, calculating the path propagation loss of the untested terminal by using the correction factor and the propagation model of the similar terminal, and obtaining the signal intensity of the untested terminal by using the path propagation loss;
a signal coverage status acquisition module: the method is used for determining the signal coverage state of each base station by using the signal strength of the terminal at each position around the base station, and further obtaining the signal coverage state in the wireless private network area.
In a third aspect, the present invention provides an electronic device comprising a processor and a memory, the memory storing a computer program, the processor calling the computer program to perform: and the step of the method for acquiring the coverage area of the electric power wireless private network system based on actual measurement and correction.
In a fourth aspect, the present invention provides a readable storage medium storing a computer program for execution by a processor to: and the step of the method for acquiring the coverage area of the electric power wireless private network system based on actual measurement and correction.
Advantageous effects
The method provided by the invention combines the actually measured data on the basis of theoretical simulation, and corrects the propagation model of the power wireless private network by using the actually measured data, so that each actually measured terminal corresponds to a correction factor, and the propagation model is more matched with the actual working condition of the terminal; and aiming at the untested terminal, similar data of the tested terminal is selected to participate in calculation, and the reliability of the data of the untested terminal is improved due to the high reliability of the correction factor of the tested terminal, so that the finally obtained signal coverage state is closer to the actual condition, and the best selection of the terminal position in the power wireless private network construction stage is favorably obtained subsequently.
Drawings
Fig. 1 is a flowchart of a method for acquiring a coverage state of an electric power wireless private network system based on actual measurement and correction according to the present invention;
fig. 2 is a schematic flow chart of the method provided in embodiment 1 of the present invention.
Detailed Description
As shown in fig. 1, the present invention provides a method for acquiring a coverage status of an electric power wireless private network system based on actual measurement and correction, which is to determine a signal coverage status of a wireless private network area, and a specific implementation process mainly includes 3 parts: a first part: acquiring measured data of measured terminals around each base station in a wireless private network area and the measured data based on each measured terminal and reversely deducing a correction factor corresponding to each measured terminal by using a propagation model; a second part: selecting a terminal similar to the untested terminal from the actually measured terminals, calculating the path propagation loss of the untested terminal by using the correction factor and the propagation model of the similar terminal, and obtaining the signal intensity of the untested terminal by using the path propagation loss; and a third part: and aiming at each base station, determining the signal coverage state of each base station by using the signal strength of the terminal at each position around the base station, and further obtaining the signal coverage state in the wireless private network area.
The LTE230 wireless private network system will be described as an example, but it should be understood that the invention is not limited thereto without departing from the spirit of the invention, and the invention will be further described with reference to the following examples.
Example 1:
as shown in fig. 2, taking LTE230 electric wireless private network system as an example, the method in this embodiment is used to obtain a signal coverage area in a wireless private network area, and the process is as follows:
s1, calculating or measuring signal transmitting power of all base stations according to an area needing wireless private network planning. Calculating the signal transmitting power of a candidate planning base station to be set; for the base station which is established and can be directly utilized, the signal transmission power of the candidate planning base station is directly measured.
S2, aiming at an area needing wireless private network planning, selecting some representative terminals for each base station (other base stations are in a closed state), and actually measuring a signal spectrum received in a 223-235MHz frequency band, wherein the specific steps are as follows:
s21: according to the map information and the actual measurement route, one base station is selected to be in an open state, and other base stations are in a closed state, so that the interference on the signal intensity of the terminal to be measured is prevented.
S22: selecting a representative terminal position around the base station, sequentially and actually measuring the frequency spectrum information of 223-235MHz frequency bands at different positions, selecting a wide and stable place of the frequency spectrum information on the equipment when selecting the terminal position, and intuitively obtaining the signal level and the noise level value of the actually measured terminal place according to the frequency spectrum information.
S23: steps S21 and S22 are performed for other base stations in the same manner until all base stations have been measured.
In this embodiment, for an area that needs to access the power wireless private network, during actual measurement, a spectrum analyzer is connected to the 230M antenna to perform signal detection, perform spectrum analysis, and analyze to obtain a 230M signal level and a noise level of each terminal position, and when a ratio of a signal level and a noise level of a certain frequency band is lower than a threshold, it is considered that signal interference of the frequency band is large. The threshold value can be tested according to different environments, so that a threshold value with strong applicability is obtained; a higher threshold value can be selected for areas with high communication quality, and a relatively lower threshold value can be selected for areas with low communication quality requirements, but normal communication can be guaranteed; different thresholds are selected according to different environments, so that flexibility and adaptability are achieved. In this embodiment 1, a 223-235MHz frequency band is taken as an example for illustration, and other feasible embodiments perform adaptive adjustment according to the requirements.
And S3, reversely deducing the model variable parameters, namely the correction factor parameters, of the propagation model corresponding to each actual measurement terminal from the propagation model according to the actual measurement data of the actual measurement terminal in the S2.
Wherein, if the Okumura-Hate model is adopted to calculate the path propagation loss LM of the 223-235MHz communication frequency band, the Okumura-Hate model is an empirical model obtained by statistical analysis according to test data, and is suitable for VHF and UHF frequency bands. The model is characterized in that: the field intensity median path propagation loss of a metropolitan area with quasi-flat terrain is used as a reference, and other factors such as propagation environment, terrain condition and the like are corrected by using correction factors. The empirical formula for the Okumura-Hate model is as follows:
LM＝69.55+26.16lg(f)-13.82lg(ht)-α(hr)+[44.9-6.55lg(ht)]lg(d)
where f represents the radio frequency employed, which in this example is equal to 230MHz; ht represents the height of the base station, and the unit is m; d represents the distance between the base station and the terminal, and the unit is km; α (hr) is a correction factor, the value of which depends on environmental factors.
In addition, the actual value of the path propagation loss = base station transmission power-measured power of the terminal position is calculated according to the data of the measured terminal, and then the correction factor α (hr) at the terminal position can be obtained by reverse estimation according to the empirical value.
It should be understood that, by using the above formula, the correction factor of each actual measurement terminal can be calculated, and then an array composed of correction factors is obtained, and the values of the correction factors correspond to the numbers of the actual measurement terminals one to one.
S4, selecting a terminal similar to the untested terminal from the untested terminal for the untested terminal, calculating the path propagation loss of the untested terminal by using the correction factor and the propagation model of the similar terminal, and predicting whether the terminal can be covered and the signal intensity value of the terminal by combining the transmitting power of the base station, wherein the method specifically comprises the following steps:
s41: and for each terminal which is not measured, calculating the distance from the terminal to all measured terminals, and obtaining the measured terminal which is closest to the terminal as a similar terminal.
S42: the search obtaining step S41 obtains a correction factor value corresponding to the tested terminal.
S43: and according to the Okumura-Hate propagation model and the correction factor of the step S42, obtaining the path propagation loss from the base station to the terminal which is not actually measured, and further obtaining the signal level strength of the terminal which is not actually measured. The specific calculation formula is as follows:
signal level power of the unmeasured terminal = base station transmit power-LM, where LM =69.55+26.16lg (f) -13.82lg (ht) - α (hr) + [44.9-6.55lg (ht) ] lg (d), α (hr) is the correction factor obtained by S42 lookup.
It should be noted that, when calculating the LM, one base station closest to the terminal that has not been measured is selected to participate in the calculation.
For any position, the signal level strength of the position can be obtained in the manner of S41 to S43, and the coverage area of each base station is obtained.
And S5, according to the data obtained in the S4, marking the terminal area which can be covered and the terminal area which can not be covered on the map, and completing the simulation work.
If the ratio of the signal level to the noise level is smaller than a preset threshold, it is determined that the interference at the position is large at the communication frequency, that is, the terminal device cannot recognize the signal from the base station, and it is considered as a terminal area that cannot be covered.
If the ratio of the signal level to the noise level is greater than or equal to a predetermined threshold, the communication quality of the location at the communication frequency is determined to be reliable, and the location is considered to be a terminal area that can be covered.
The noise level acquisition mode is as follows: the base stations are all closed and measured, and the measured noise level is obtained; the threshold value is selected according to the accuracy of local equipment and the strength requirement of a signal, and is generally 10dbm.
In other possible embodiments, a door limit may also be set, covering the indicators to: the RSRP is greater than the noise plus the threshold and is the standard, the RSRP = the base station transmitting power-path loss, different gate limits can be set under different environments, and then the coverage range is determined.
The simulation result obtained by the embodiment of the invention visually shows the signal coverage range and the strength, and the analysis of the simulation result shows that: the larger the propagation distance, the more path propagation loss. When the transmission distance of the LTE230 is 2km, the path propagation loss is about 120dB; at a transmission distance of 7km, the path propagation loss is about 140dB.
In some feasible manners, the present invention further provides a system for acquiring a coverage status of a wireless private power network system based on actual measurement and correction, including:
an actual measurement module: the method comprises the steps of acquiring measured data of measured terminals around each base station in a wireless private network area;
a correction factor acquisition module: the propagation model is used for reversely deducing a model variable parameter corresponding to each measured terminal based on the measured data of each measured terminal and by utilizing the propagation model, wherein the model variable parameter is a correction factor;
the unmeasured terminal processing module: the method is used for selecting a terminal similar to the untested terminal from the actual measurement terminals, calculating the path propagation loss of the untested terminal by using the correction factor and the propagation model of the similar terminal, and obtaining the signal intensity of the untested terminal by using the path propagation loss.
A signal coverage status acquisition module: the method is used for determining the signal coverage state of each base station by utilizing the signal strength of the terminal at each position around the base station, thereby obtaining the signal coverage state in the wireless private network area.
In some embodiments, the system further comprises a display module: for displaying the signal coverage status. The signal coverage and the signal strength thereof are displayed in a visual mode, so that engineering personnel can more intuitively and quickly acquire related information.
The specific implementation process of each module refers to the corresponding content of the foregoing method steps, which is consistent with the foregoing method steps, and therefore, the detailed description is omitted. It should be understood that, the specific implementation process of the above unit module refers to the method content, and the present invention is not described herein in detail, and the division of the above functional module unit is only a division of a logic function, and there may be another division manner in the actual implementation, for example, multiple units or components may be combined or may be integrated into another system, or some features may be omitted, or may not be executed. Meanwhile, the integrated unit can be realized in a hardware form, and can also be realized in a software functional unit form.
In some possible forms, the invention provides an electronic device comprising a processor and a memory, the memory storing a computer program, the processor invoking the computer program to perform:
acquiring measured data of measured terminals around each base station in a wireless private network area and the measured data based on each measured terminal and reversely deducing a correction factor corresponding to each measured terminal by using a propagation model; selecting a terminal similar to the untested terminal from the actually measured terminals, calculating the path propagation loss of the untested terminal by using the correction factor and the propagation model of the similar terminal, and obtaining the signal intensity of the untested terminal by using the path propagation loss; and aiming at each base station, determining the signal coverage state of each base station by using the signal strength of the terminal at each position around the base station, and further obtaining the signal coverage state in the wireless private network area.
The detailed implementation process of each step refers to the corresponding content of the foregoing method steps, which is consistent with the foregoing method steps, and therefore, the detailed description is omitted.
In some possible implementations, the invention provides a readable storage medium storing a computer program for invocation by a processor to perform:
acquiring actual measurement data of actual measurement terminals around each base station in a wireless private network area, and reversely deducing a correction factor corresponding to each actual measurement terminal by using a propagation model based on the actual measurement data of each actual measurement terminal; selecting a terminal similar to the untested terminal from the actual measurement terminals, calculating the path propagation loss of the untested terminal by using the correction factor and the propagation model of the similar terminal, and obtaining the signal intensity of the untested terminal by using the path propagation loss; and aiming at each base station, determining the signal coverage state of each base station by using the signal strength of the terminal at each position around the base station, and further obtaining the signal coverage state in the wireless private network area.
The detailed implementation process of each step refers to the corresponding content of the foregoing method steps, which is consistent with the foregoing method steps, and therefore, the detailed description is omitted.
It should be understood that in the embodiments of the present invention, the Processor may be a Central Processing Unit (CPU), and the Processor may also be other general purpose processors, digital Signal Processors (DSPs), application Specific Integrated Circuits (ASICs), field Programmable Gate Arrays (FPGAs) or other Programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, and the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The memory may include both read-only memory and random access memory, and provides instructions and data to the processor. The portion of memory may also include non-volatile random access memory. For example, the memory may also store device type information.
The readable storage medium is a computer readable storage medium, which may be an internal storage unit of the controller according to any of the foregoing embodiments, for example, a hard disk or a memory of the controller. The readable storage medium may also be an external storage device of the controller, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like provided on the controller. Further, the readable storage medium may also include both an internal storage unit of the controller and an external storage device. The readable storage medium is used for storing the computer program and other programs and data required by the controller. The readable storage medium may also be used to temporarily store data that has been output or is to be output.
It should be emphasized that the examples described herein are illustrative and not restrictive, and thus the invention is not to be limited to the examples described herein, but rather to other embodiments that may be devised by those skilled in the art based on the teachings herein, and that various modifications, alterations, and substitutions are possible without departing from the spirit and scope of the present invention.
Claims (8)
1. A method for acquiring the coverage state of a wireless private network system based on actual measurement and correction is characterized in that: the method comprises the following steps:
step 1: acquiring actual measurement data of actual measurement terminals around each base station in a wireless private network area, wherein representative position setting terminals are selected around each base station to carry out actual measurement to obtain the actual measurement data of the actual measurement terminals;
step 2: reversely deducing a model variable parameter corresponding to each actual measurement terminal by using a propagation model based on actual measurement data of each actual measurement terminal, wherein the model variable parameter is a correction factor;
the propagation model is an Okumura-Hate model, and the empirical formula is as follows:
LM＝69.55+26.16lg(f)-13.82lg(ht)-α(hr)+[44.9-6.55lg(ht)]lg(d)
in the formula, LM is a path propagation loss value, f is a adopted radio frequency, ht is the height of a selected base station during actual measurement, d is the distance between the base station and an actual measurement terminal, and alpha (hr) is a model variable parameter;
the acquisition process of the model variable parameters comprises the following steps: calculating a path propagation loss value containing a model variable parameter based on the propagation model, and taking the difference between the transmitting power of the base station and the actual measurement power in the actual measurement data of the actual measurement terminal as a path propagation loss actual value, so as to calculate the model variable parameter corresponding to the actual measurement terminal;
and step 3: selecting a terminal similar to the untested terminal from the actually measured terminals, calculating the path propagation loss of the untested terminal by using the correction factor and the propagation model of the similar terminal, and obtaining the signal intensity of the untested terminal by using the path propagation loss;
and 4, step 4: and aiming at each base station, determining the signal coverage state of each base station by using the signal strength of the terminal at each position around the base station, and further obtaining the signal coverage state in the wireless private network area.
2. The method of claim 1, wherein: step 4, the signal coverage state in the wireless private network area is a signal coverage area, wherein whether the position of the terminal is in the signal coverage area is judged according to the ratio of the signal level received by the terminal to the noise level;
if the ratio of the signal level to the noise level is smaller than a preset threshold, judging that the position of the terminal is not in a signal coverage area; otherwise, the terminal is located in the signal coverage area.
3. The method of claim 1, wherein: selecting a terminal closest to the untested terminal from all the actual measurement terminals according to the distance as a similar terminal of the untested terminal in the step 3;
and 3, when the path propagation loss of the untested terminal is calculated by using the correction factors and the propagation models of the similar terminals in the step 3, selecting the base station closest to the untested terminal to participate in calculation.
4. The method of claim 1, wherein: and when the actual measurement terminal is measured, the corresponding base station is opened, and the other base stations are closed.
5. The method of claim 1, wherein: the representative location of the measured terminal is determined based on the terrain surrounding the base station and/or the steady state selection of the terminal's spectrum signals.
6. A system based on the method of any one of claims 1-5, characterized by: the method comprises the following steps:
an actual measurement module: the method comprises the steps of acquiring measured data of measured terminals around each base station in a wireless private network area;
a correction factor acquisition module: the propagation model is used for reversely deducing a model variable parameter corresponding to each measured terminal based on the measured data of each measured terminal and by utilizing the propagation model, wherein the model variable parameter is a correction factor;
the unmeasured terminal processing module: the method comprises the steps of selecting a terminal similar to an untested terminal from the actually measured terminals, calculating the path propagation loss of the untested terminal by using the correction factor and the propagation model of the similar terminal, and obtaining the signal intensity of the untested terminal by using the path propagation loss;
a signal coverage status acquisition module: the method is used for determining the signal coverage state of each base station by using the signal strength of the terminal at each position around the base station, and further obtaining the signal coverage state in the wireless private network area.
7. An electronic device, characterized in that: comprising a processor and a memory, the memory storing a computer program that the processor calls to perform: the process steps of any one of claims 1 to 5.
8. A readable storage medium, characterized by: a computer program is stored, which is invoked by a processor to perform: the process steps of any one of claims 1 to 5.
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Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108990074A (en) * | 2018-07-24 | 2018-12-11 | 国网湖南省电力有限公司 | Electric system wireless private network base station construction planing method based on cartographic information |
| CN109526019A (en) * | 2018-12-26 | 2019-03-26 | 国网湖南省电力有限公司 | Wireless private network base station range propagation model revision method based on measured data |
| CN110831017A (en) * | 2019-11-14 | 2020-02-21 | 国网湖南省电力有限公司 | Site selection method for power system wireless private network base station construction |
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| CN109526019A (en) * | 2018-12-26 | 2019-03-26 | 国网湖南省电力有限公司 | Wireless private network base station range propagation model revision method based on measured data |
| CN110831017A (en) * | 2019-11-14 | 2020-02-21 | 国网湖南省电力有限公司 | Site selection method for power system wireless private network base station construction |
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