A method and system for determining the communication coverage range of a very high frequency communication station

Abstract

The present invention provides a method and system for determining the communication coverage range of a very high frequency communication station, and relates to the technical field of wireless network communication. The present invention determines the predicted values ​​of the electric field strength of M test points in the target area of ​​the very high frequency communication station according to the parameter information of the very high frequency communication station, and obtains the actual values ​​of the electric field strength of N test points among the M test points; obtains a trained neural network model according to the training sample set determined by the actual value of the electric field strength and the predicted value of the electric field strength; based on the trained neural network model, obtains the corrected values ​​of the electric field strength of the M test points according to the longitude and latitude coordinates of the M test points; corrects the predicted values ​​of the electric field strength of the M test points according to the corrected values ​​of the electric field strength of the M test points, and obtains the coverage simulation result of the very high frequency communication station. The communication coverage range of the very high frequency communication station can be determined quickly and accurately, and the processing efficiency and the accuracy of the communication coverage range can be improved.

Description

Technical Field

[0001] The present invention relates to the technical field of wireless network communication, and in particular to a method and system for determining the communication coverage range of a very high frequency communication station. Background Art

[0002] Maritime radio communication is an indispensable means to ensure the safety of ship navigation and one of the basic elements of water traffic safety supervision and rescue. It runs through the entire process of ship distress rescue and involves all aspects of water traffic safety supervision. The means of maritime radio communication in the transportation industry mainly include medium and high frequency coastal radio communication, very high frequency radio communication and satellite communication. The operating frequency range of very high frequency radio communication is 30MHz to 300MHz, which can be widely used in radio broadcasting, air traffic control, maritime communication and many other fields.

[0003] In the construction process of VHF communication stations, it is usually necessary to determine the communication coverage of the VHF communication stations to ensure the reasonable layout of the VHF communication stations. In the related technology, after the construction of the VHF communication stations is completed, the electric field strength at different locations is measured by signal bandwidth measurement technology to obtain the communication coverage of the VHF communication stations. However, this method has the disadvantages of low efficiency and poor accuracy. Summary of the invention

[0004] The embodiments of the present invention provide a method and system for determining the communication coverage range of a very high frequency communication station, which can quickly and accurately determine the communication coverage range of the very high frequency communication station and improve the processing efficiency and the accuracy of the communication coverage range.

[0005] To achieve the above object, the embodiments of the present invention adopt the following technical solutions:

[0006] In a first aspect, a method for determining the communication coverage range of a very high frequency communication station is provided, the method comprising: determining predicted values ​​of electric field strength of M test points in a target area of ​​the very high frequency communication station according to parameter information of the very high frequency communication station, the target area being determined according to the position of the very high frequency communication station, the parameter information comprising multiple parameter values ​​for characterizing performance indicators and loss indicators of the very high frequency communication station; obtaining actual values ​​of electric field strength of N test points among the M test points, wherein N is less than M, and M and N are positive integers greater than 1; determining a training sample set according to the actual values ​​of electric field strength of the N test points and the predicted values ​​of electric field strength, the training sample set comprising N training samples, each training sample comprising a test point latitude and longitude information and electric field strength correction value, wherein the electric field strength correction value is the difference between the actual value of the electric field strength and the predicted value of the electric field strength; training the neural network model according to the training sample set to obtain a trained neural network model; based on the trained neural network model, according to the latitude and longitude coordinates of the M test points, obtaining the electric field strength correction values ​​of the M test points; correcting the electric field strength predicted values ​​of the M test points according to the electric field strength correction values ​​of the M test points to obtain the coverage simulation result of the very high frequency communication station, the coverage simulation result is used to characterize the communication coverage range of the very high frequency communication station, and the coverage simulation result includes the actual value of the electric field strength of each grid in the multiple grids of the target area.

[0007] In a possible implementation manner of the first aspect, a formula for determining the predicted value of the electric field strength is:

[0008] E b =135.1+20lg f-ΔW+GLL h -L b -L t ;

[0009] Among them, E b is the predicted value of electric field strength, f is the transmission frequency, in MHz; ΔW is the difference between the shore-based base station transmission power and the standard 1kW; G is the shore-based base station transmitting antenna gain; L is the shore-based base station RF feeder loss, in dB; L h Insert loss for the shore-based transmitter combiner; L b is the transmission loss; L t is the correction factor, which is the isolated mountain correction factor αK im and sea-land mixing correction factor K s The sum of

[0010] The formula for determining ΔW is:

[0011]

[0012] P t is the output power of the shore-based base station transmitter, in kW;

[0013] The formula for determining L is:

[0014] L = β × l;

[0015] β is the loss per unit length of the RF feeder line, and l is the unit length of the RF feeder line.

[0016] In a possible implementation of the first aspect, obtaining actual values ​​of electric field strength at N test points among M test points includes: obtaining actual values ​​of electric field strength at multiple test points through a field strength meter; determining abnormal sampling points among the multiple test points, where the abnormal sampling points are located below a building, whose distance from a very high frequency communication station is not within a preset distance threshold range, and whose actual values ​​of electric field strength are not within a preset field strength threshold range; and deleting the actual values ​​of electric field strength at the abnormal sampling points from the actual values ​​of electric field strength at the multiple test points to obtain the actual values ​​of electric field strength at the N test points.

[0017] In a possible implementation of the first aspect, the predicted values ​​of the electric field strength of the M test points are corrected according to the correction values ​​of the electric field strength of the M test points to obtain the coverage simulation result of the very high frequency communication station, including: the sum of the electric field strength correction values ​​of the M test points and the predicted values ​​of the electric field strength is determined as the actual value of the electric field strength of the M test points; the target area is divided into multiple grids of the same area; the average value of the actual values ​​of the electric field strength of multiple test points located in each grid is determined as the actual value of the electric field strength corresponding to each grid; and the coverage simulation result of the very high frequency communication station is determined according to the actual value of the electric field strength corresponding to each grid.

[0018] In a possible implementation manner of the first aspect, the method further includes: displaying a coverage simulation result of a very high frequency communication station on a preset interface.

[0019] The beneficial effects of the present invention are as follows: the method provided by the present invention trains the neural network model through the predicted values ​​of the electric field strength of multiple test points and the actual values ​​of the electric field strength, and then the actual value of the electric field strength corresponding to each test point can be obtained through the neural network model, so as to quickly and accurately obtain the coverage simulation result of the very high frequency communication station, which can effectively improve the efficiency of determining the communication coverage range of the very high frequency communication station, and improve the accuracy of the coverage simulation result. It can also be understood that: the method provided by the present invention can realize the correction of the predicted value of the electric field strength of each test point around the very high frequency communication station through the neural network model obtained by training a small amount of data, so as to realize the rapid determination of the communication coverage range of the very high frequency communication station, and then continuously optimize the current coverage effect of the very high frequency communication station, and more in line with the actual needs of engineering applications, and can provide support for the optimization and adjustment of the layout of the very high frequency communication station.

[0020] In a second aspect, an embodiment of the present invention provides a communication coverage range determination system for a very high frequency communication station, the system comprising: a first processing unit, used to determine the predicted values ​​of the electric field strength of M test points in a target area of ​​the very high frequency communication station according to parameter information of the very high frequency communication station, the target area is determined according to the position of the very high frequency communication station, the parameter information comprises a plurality of parameter values ​​for characterizing performance indicators and loss indicators of the very high frequency communication station; a measuring unit, used to obtain the actual values ​​of the electric field strength of N test points out of the M test points, wherein N is less than M, and M and N are positive integers greater than 1; a second processing unit, used to determine a training sample set according to the actual values ​​of the electric field strength of the N test points and the predicted values ​​of the electric field strength, the training sample set comprising N training samples, each training sample comprising The latitude and longitude information of the test point and the electric field strength correction value, wherein the electric field strength correction value is the difference between the actual value of the electric field strength and the predicted value of the electric field strength; a training unit, used to train the neural network model according to the training sample set to obtain a trained neural network model; a third processing unit, used to obtain the electric field strength correction values ​​of the M test points according to the latitude and longitude coordinates of the M test points based on the trained neural network model; a fourth processing unit, used to correct the electric field strength prediction values ​​of the M test points according to the electric field strength correction values ​​of the M test points to obtain a coverage simulation result of a very high frequency communication station, the coverage simulation result is used to characterize the communication coverage range of the very high frequency communication station, and the coverage simulation result includes the actual value of the electric field strength of each grid in the multiple grids of the target area.

[0021] In a possible implementation manner of the second aspect, a formula for determining the predicted value of the electric field strength is:

[0022] E b =135.1+20lg f-ΔW+GLL h -L b -L t ;

[0023] Among them, E b is the predicted value of electric field strength, f is the transmission frequency, in MHz; ΔW is the difference between the shore-based base station transmission power and the standard 1kW; G is the shore-based base station transmitting antenna gain; L is the shore-based base station RF feeder loss, in dB; L h Insert loss for the shore-based transmitter combiner; L b is the transmission loss; L t is the correction factor, which is the isolated mountain correction factor αK im and sea-land mixing correction factor K s The sum of

[0024] The formula for determining ΔW is:

[0025]

[0026] P t is the output power of the shore-based base station transmitter, in kW;

[0027] The formula for determining L is:

[0028] L = β × l;

[0029] β is the loss per unit length of the RF feeder line, and l is the unit length of the RF feeder line.

[0030] In a possible implementation manner of the second aspect, the measuring unit is specifically configured to:

[0031] The actual value of the electric field strength at multiple test points is obtained by a field strength measuring device;

[0032] Determine an abnormal sampling point among multiple test points, where the abnormal sampling point is a test point located below a building, whose distance to a very high frequency communication station is not within a preset distance threshold range, and whose actual value of electric field strength is not within a preset field strength threshold range;

[0033] The actual value of the electric field strength of the abnormal sampling point is deleted from the actual values ​​of the electric field strength of the multiple test points to obtain the actual values ​​of the electric field strength of the N test points.

[0034] In a possible implementation of the second aspect, the fourth processing unit is specifically used to: determine the actual value of the electric field strength of the M test points by adding the electric field strength correction value and the electric field strength prediction value of the M test points; divide the target area into multiple grids of the same area; determine the average value of the actual value of the electric field strength of multiple test points located in each grid as the actual value of the electric field strength corresponding to each grid; and determine the coverage simulation result of the very high frequency communication station according to the actual value of the electric field strength corresponding to each grid.

[0035] In a possible implementation manner of the second aspect, the system further includes: a display unit, configured to display a coverage simulation result of a very high frequency communication station on a preset interface.

[0036] In a third aspect, an electronic device is provided, comprising a memory and one or more processors; the memory is coupled to the processor; wherein the memory stores computer program code, the computer program code comprising computer instructions, and when the computer instructions are executed by the processor, the electronic device executes a method for determining the communication coverage range of a very high frequency communication station as in any implementation of the first aspect.

[0037] In a fourth aspect, a computer-readable storage medium is provided, comprising computer instructions. When the computer instructions are executed on an electronic device, the electronic device executes the method for determining the communication coverage range of a very high frequency communication station in any implementation of the first aspect.

[0038] According to a fifth aspect, a computer program product is provided. When the computer program product is run on a computer, the computer is enabled to execute the method for determining the communication coverage range of a very high frequency communication station in any implementation of the first aspect.

[0039] It can be understood that the beneficial effects that can be achieved by the communication coverage range determination system of the very high frequency communication station described in the second aspect, the electronic device described in the third aspect, the computer-readable storage medium described in the fourth aspect, and the computer program product described in the fifth aspect can be referred to the beneficial effects in the first aspect and any possible design method thereof, and will not be repeated here. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] Figure 1 A schematic diagram of the hardware structure of an electronic device according to an embodiment of the present invention;

[0041] Figure 2 A flow chart of a method for determining the communication coverage range of a very high frequency communication station shown in an embodiment of the present invention;

[0042] Figure 3 A flowchart of another method for determining the communication coverage range of a very high frequency communication station shown in an embodiment of the present invention;

[0043] Figure 4 A flowchart of another method for determining the communication coverage range of a very high frequency communication station according to an embodiment of the present invention;

[0044] Figure 5 The figure is a schematic diagram of the hardware structure of another determination system according to an embodiment of the present invention. DETAILED DESCRIPTION

[0045] The technical solution in the embodiment of the present invention will be described below in conjunction with the accompanying drawings in the embodiment of the present invention. Among them, in the description of the present invention, unless otherwise specified, " / " indicates that the objects associated before and after are in an "or" relationship, for example, A / B can represent A or B; "and / or" in the present invention is only a kind of association relationship describing the associated objects, indicating that there can be three relationships, for example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone, where A and B can be singular or plural. And, in the description of the present invention, unless otherwise specified, "multiple" refers to two or more than two. "At least one of the following" or similar expressions refers to any combination of these items, including any combination of single items or plural items. For example, at least one of a, b, or c can represent: a, b, c, ab, ac, bc, or abc, where a, b, c can be single or multiple.

[0046] In addition, in order to clearly describe the technical solutions of the embodiments of the present invention, in the embodiments of the present invention, the words "first", "second", etc. are used to distinguish the same items or similar items with substantially the same functions and effects. Those skilled in the art can understand that the words "first", "second", etc. do not limit the quantity and execution order, and the words "first", "second", etc. do not necessarily limit the difference.

[0047] Meanwhile, in the embodiments of the present invention, words such as "exemplary" or "for example" are used to indicate examples, illustrations or explanations. Any embodiment or design scheme described as "exemplary" or "for example" in the embodiments of the present invention should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of words such as "exemplary" or "for example" is intended to present related concepts in a specific way for easy understanding.

[0048] Maritime radio communication is an indispensable means to ensure the safety of ship navigation and one of the basic elements of water traffic safety supervision and rescue. It runs through the entire process of ship distress rescue and involves all aspects of water traffic safety supervision. The means of maritime radio communication in the transportation industry mainly include medium and high frequency coastal radio communication, very high frequency radio communication and satellite communication. The operating frequency range of very high frequency radio communication is 30MHz to 300MHz, which can be widely used in radio broadcasting, air traffic control, maritime communication and many other fields.

[0049] In the construction process of VHF communication stations, it is usually necessary to determine the communication coverage of the VHF communication stations to ensure the reasonable layout of the VHF communication stations. In the related technology, after the construction of the VHF communication stations is completed, the electric field strength at different locations is measured by signal bandwidth measurement technology to obtain the communication coverage of the VHF communication stations. However, this method has the disadvantages of low efficiency and poor accuracy.

[0050] In view of this, an embodiment of the present invention provides a method and system for determining the communication coverage range of a very high frequency communication station, the method comprising: determining predicted values ​​of electric field strength of M test points in a target area of ​​the very high frequency communication station according to parameter information of the very high frequency communication station, the target area being determined according to the position of the very high frequency communication station, the parameter information comprising multiple parameter values ​​for characterizing performance indicators and loss indicators of the very high frequency communication station; obtaining actual values ​​of electric field strength of N test points among the M test points, wherein N is less than M, and M and N are positive integers greater than 1; determining a training sample set according to the actual values ​​of electric field strength of the N test points and the predicted values ​​of electric field strength, the training sample set comprising N training samples, each training sample comprising The method comprises the following steps: the first step is to train a neural network model according to the training sample set, and obtain a trained neural network model; the second step is to obtain the electric field strength correction values ​​of the M test points according to the longitude and latitude coordinates of the M test points; the third step is to correct the electric field strength prediction values ​​of the M test points according to the electric field strength correction values ​​of the M test points, and obtain the coverage simulation result of the very high frequency communication station, and the coverage simulation result is used to characterize the communication coverage range of the very high frequency communication station, and the coverage simulation result comprises the actual value of the electric field strength of each grid in the multiple grids of the target area.

[0051] The method provided by the embodiment of the present invention trains the neural network model through the predicted values ​​of the electric field strength of multiple test points and the actual values ​​of the electric field strength, and then the actual value of the electric field strength corresponding to each test point can be obtained through the neural network model, so as to quickly and accurately obtain the coverage simulation result of the very high frequency communication station, which can effectively improve the efficiency of determining the communication coverage range of the very high frequency communication station, and improve the accuracy of the coverage simulation result. In other words: the method provided by the embodiment of the present invention can realize the correction of the predicted value of the electric field strength of each test point around the very high frequency communication station through the neural network model obtained by training a small amount of data, so as to realize the rapid determination of the communication coverage range of the very high frequency communication station, and then continuously optimize the current coverage effect of the very high frequency communication station, and more in line with the actual needs of engineering applications, and can provide support for the optimization and adjustment of the layout of the very high frequency communication station.

[0052] In some embodiments, the communication coverage range determination method of a VHF communication station provided in an embodiment of the present invention may be performed by a communication coverage range determination system 100 of a VHF communication station (hereinafter referred to as determination system 100). As an example, the determination system 100 may be any electronic device 200 with data processing capability, such as a general-purpose computer, a personal computer, a laptop, a switch, or a tablet computer, etc., and the specific implementation of the determination system 100 is not limited here.

[0053] Figure 1 The hardware structure diagram of the electronic device provided by the embodiment of the present invention is shown. The electronic device 200 includes a processor 210, a memory 220 and a communication interface 230.

[0054] The processor 210 may include one or more processing cores. The processor 210 uses various interfaces and lines to connect various parts in the electronic device 200, and executes various functions and processes data of the electronic device 200 by running or executing instructions, programs, code sets or instruction sets stored in the memory 220, and calling data stored in the memory 220. Optionally, the processor 210 can be implemented in at least one hardware form of a central processing unit (CPU), a graphics processing unit (GPU), a digital signal processing (DSP), a field-programmable gate array (FPGA), and a programmable logic array (PLA).

[0055] The memory 220 may include a random access memory (RAM) or a read-only memory (ROM). Optionally, the memory 220 includes a non-transitory computer-readable storage medium. The memory 220 may be used to store instructions, programs, codes, code sets, or instruction sets. The memory 220 may include a program storage area. The program storage area may store instructions for implementing an operating system, instructions for implementing at least one function (such as a data acquisition function, a model training function, etc.), instructions for implementing the above-mentioned various method embodiments, etc.

[0056] The communication interface 230 is used to communicate with other devices, equipment or communication networks, such as data storage devices, image processing equipment or Ethernet, radio access network (RAN), wireless local area networks (WLAN), etc.

[0057] In physical implementation, the above-mentioned components (such as processor 210, memory 220 and communication interface 230) can be components in the same device (such as a laptop). Alternatively, at least two of the components can be set in the same device, that is, as different components in one device, similar to the deployment mode of devices or components in a distributed system.

[0058] It is to be understood that the structure illustrated in this embodiment does not constitute a specific limitation on the electronic device 200. In other embodiments of the present invention, the electronic device 200 may include more or fewer components than those illustrated, or combine certain components, or separate certain components, or arrange the components differently. The illustrated components may be implemented in hardware, software, or a combination of software and hardware.

[0059] The following describes a method for determining the communication coverage range of a very high frequency communication station provided by an embodiment of the present invention in conjunction with the accompanying drawings.

[0060] Figure 2 The present invention provides a flowchart of a method for determining the communication coverage range of a very high frequency communication station. Optionally, the method may be performed by a Figure 1 The method is executed by the electronic device 200 of the hardware structure shown, that is, by the determination system 100. The method may include the following steps:

[0061] S1. Determine predicted values ​​of electric field strength at M test points within a target area of ​​a very high frequency communication station according to parameter information of the very high frequency communication station.

[0062] Specifically, the target area is determined according to the position of the VHF communication station. The target area is the surrounding area of ​​the VHF communication station. The distance between each point in the target area and the VHF communication station is less than a preset distance value.

[0063] Among them, the VHF communication station includes a ship platform and a shore station, and both the ship platform and the shore station are provided with a transmitter, a receiver and an antenna to realize communication between the ship platform and the shore station. The parameter information includes a plurality of parameter values ​​for characterizing the performance index and loss index of the VHF communication station. It can also be understood that the parameter information includes the parameter values ​​of the transmitter, receiver and antenna of the ship platform and the shore station of the VHF communication station.

[0064] Exemplarily, the parameter information includes the transmission frequency of the VHF communication station, the difference between the shore-based base station transmission power and the standard 1kW, the shore-based base station transmitting antenna gain, the shore-based base station RF feeder loss, the shore-based transmitter combiner insertion loss, the transmission loss and the correction factor. Among them, the correction factor is the sum of the isolated mountain correction factor and the land-sea mixed correction factor.

[0065] In a possible implementation, the formula for determining the predicted value of the electric field strength is:

[0066] E b =135.1+20lg f-ΔW+GLL h -L b -L t ;

[0067] Among them, E b is the predicted value of electric field strength, f is the transmission frequency, in MHz; ΔW is the difference between the shore-based base station transmission power and the standard 1kW; G is the shore-based base station transmitting antenna gain; L is the shore-based base station RF feeder loss, in dB; L h Insert attenuation for the shore-based transmitter combiner; L b is the transmission loss; L t is the correction factor, which is the isolated mountain correction factor αK im and sea-land mixing correction factor K s The sum of

[0068] The formula for determining ΔW is:

[0069]

[0070] P t is the output power of the shore-based base station transmitter, in kW;

[0071] The formula for determining L is:

[0072] L = β × l;

[0073] β is the loss per unit length of the RF feeder line, and l is the unit length of the RF feeder line.

[0074] In one possible implementation, the transmission loss L b The formula for determining is:

[0075] When the distance between the slipway and the shore platform is d≤20km,

[0076] L b =69.55+26.16lg f-13.82*lg h b +[44.9-6.55lg h b ]*lg ba(h m );

[0077] Where, f is the signal frequency, in MHz, ranging from 150 to 1500 MHz; h m h is the height of the ship platform antenna, in m, with a value range of 1 to 10 m; b The base station antenna altitude, in meters, ranges from 30 to 1000 meters.

[0078] α(h m ) is the correction factor for the antenna height at the receiving point, and the calculation formula is:

[0079] α(h m )=(1.1lg f-0.7)h m -(1.56lg f-0.8)

[0080] When the distance between the slipway and the shore platform is 100km>d>20km,

[0081] L b =69.55+26.16lg f-13.82*lg h b +[44.9-6.55lg h b ]*(lg d) α -a(h m )

[0082] α=1+(0.14+1.87·10 -4 f+1.07·10 -3 h b )×(lg d / 20) 0.8 .

[0083] Optionally, the correction factor is the isolated mountain correction factor αK im and sea-land mixing correction factor K s When the line between the station and the test point is blocked, the isolated mountain correction factor αK is calculated. im ; Calculate the isolated mountain correction factor αK when there is a mixed land-water path between the station and the test point im ; When neither of the above two situations exists, the correction factor is 0.

[0084] The correction factor needs to be obtained through GIS map data based on the terrain profile from the shore station location to the slipway location.

[0085] In one example, the isolated mountain correction factor αK im Based on the determination of the isolated mountain correction factor curve, a plurality of isolated mountain correction factor curves are pre-stored in the determination system, each curve corresponds to a different distance range of the peak between the station and the test point, and each isolated mountain correction factor curve is used to characterize the relationship between the isolated mountain correction factor and the peak height between the station and the test point.

[0086] For example, the range of the distance between the station and the peak between the station and the test point corresponding to the isolated mountain correction factor curve A is less than or equal to 15km, and the range of the distance between the station and the peak between the station and the test point corresponding to the isolated mountain correction factor curve B is greater than or equal to 60km. When the distance between the station and the peak between the station and the test point is 10km, the isolated mountain correction factor curve A is selected, and then the corresponding isolated mountain correction factor αK is determined from the isolated mountain correction factor curve A according to the peak height between the station and the test point. im .

[0087] In another example, the isolated mountain correction factor αK can also be determined by eigenvalues im as follows. Refer to Table 1, which is the eigenvalue table of the isolated mountain correction factor K im .

[0088] Table 1

[0089]

[0090] Among them, d1 is the horizontal distance from the base station to the top of the obstacle, and d2 is the horizontal distance from the top of the obstacle to the prediction point.

[0091]

[0092] In one example, h is the normalized mountain height.

[0093] When h = 200, α = 1.

[0094] It should be noted that the above method for determining the isolated mountain correction factor αK im is only an exemplary illustration, and the isolated mountain correction factor αK can also be determined by other methods im , and the embodiments of the present invention do not make special restrictions on this.

[0095] In some embodiments, the determination method of the sea-land mixed correction factor K s is as follows: First, according to the topographic profile between the shore station and the ship station, calculate the ratio β of the sea surface distance to the distance between the shore station and the ship station. Then, determine the sea-land mixed correction factor K s by the eigenvalue method. Refer to Table 2, which is the eigenvalue table of the sea-land mixed correction factor K s .

[0096] Table 2

[0097]

[0098]

[0099] Among them, d1 is the horizontal distance from the base station to the top of the obstacle, and d2 is the horizontal distance from the top of the obstacle to the prediction point. For the Ks value when 30 < d < 60 km, it can be obtained by interpolation.

[0100] It should be noted that the above method for determining the sea-land mixed correction factor K s is only an exemplary illustration, and the sea-land mixed correction factor K can also be determined by other methods s , and the embodiments of the present invention do not make special restrictions on this.

[0101] During the operation of a VHF communication station, when the transmitter on the ship sends a signal and the receiver on the shore receives the signal, it is called an uplink signal. When the transmitter on the shore sends a signal and the receiver on the ship receives the signal, it is called a downlink signal. t , G, L, L h are the parameter values ​​of the shore station transmitter and antenna. It should be understood that the predicted value of the electric field strength of the VHF signal transmitted by the ship station received at the site can also be determined based on the parameter values ​​of the ship station transmitter and antenna, and L b , L t The values ​​of the two parameters are independent of the signal uplink or downlink.

[0102] S2. Obtain actual values ​​of the electric field strength of N test points among the M test points, where N is less than M, and M and N are positive integers greater than 1.

[0103] In one example, M is 5000 and N is 100.

[0104] In some embodiments, see Figure 3 The above S2 specifically includes the following steps:

[0105] S21, obtaining actual values ​​of electric field strength at multiple test points through a field strength measuring device;

[0106] It should be noted that the field strength measuring device measures the actual values ​​of the electric field strengths of a plurality of test points in sequence based on a preset test path.

[0107] Among them, the test path is a path that traverses all major terrains in the main offshore working area of ​​the VHF communication station, and multiple test points include location points at different distances from the VHF communication station in the target area. When there are multiple VHF communication stations in the target area, the test paths of multiple VHF communication stations overlap.

[0108] S22. Determine an abnormal sampling point among the multiple test points, where the abnormal sampling point is a test point located below a building, whose distance to a very high frequency communication station is not within a preset distance threshold range, and whose actual value of electric field strength is not within a preset field strength threshold range.

[0109] S23, deleting the actual value of the electric field strength of the abnormal sampling point from the actual values ​​of the electric field strength of the multiple test points to obtain the actual values ​​of the electric field strength of N test points.

[0110] The method provided in the embodiment of the present invention can avoid the actual value of the electric field strength of the abnormal sampling point from participating in the training process of the neural network model by deleting the actual value of the electric field strength of the abnormal sampling point, thereby improving the accuracy of the neural network model and thus improving the accuracy of the coverage simulation results of the very high frequency communication station.

[0111] S3. Determine a training sample set according to the actual value of the electric field strength and the predicted value of the electric field strength at the N test points, wherein the training sample set includes N training samples, each training sample includes the latitude and longitude information of the test point and an electric field strength correction value, wherein the electric field strength correction value is the difference between the actual value of the electric field strength and the predicted value of the electric field strength.

[0112] In one example, the latitude and longitude coordinates of the test point i are determined as x i , where i is the test point number, and the actual value of the electric field strength at test point i is determined as E i , the predicted value of the electric field strength at the test point i is determined as E i ', calculate the electric field strength correction value y at test point i i ,y i =E i -E i '. According to the latitude and longitude coordinates of each test point and the electric field strength correction value, a data set D = {(x i ,y i )}, the data set D is the training sample set, where the training sample set includes the training set D T and validation set D V .

[0113] S4. Train the neural network model according to the training sample set to obtain a trained neural network model.

[0114] Among them, the neural network model includes an input layer, a hidden layer and an output layer. The input layer is used to input longitude and latitude coordinates, the hidden layer is used to obtain the corresponding electric field strength correction value according to the input longitude and latitude coordinates, and the output layer is used to output the electric field strength correction value.

[0115] In one example, the number of nodes in the input layer and the output layer is 1, and the number of hidden layers is multiple.

[0116] The following explains the training process of the neural network model.

[0117] Input the data in the training set into the neural network model and output data y i ', loss=(y i -y i ') 2 As the loss function, the Adam algorithm is used to calculate the derivatives of each parameter with respect to the loss, so as to update each parameter so that the final predicted value keeps approaching the actual value, thereby training the model to improve the prediction accuracy of the model.

[0118] Optionally, to prevent overfitting, the neural network model is trained for multiple rounds. After each round of training, the training of the neural network model is paused and the validation set D is used to train the model. VThe neural network model is evaluated by the value of the validation loss function on the neural network model validation set, namely:

[0119] validation loss = Σ i (y i -y i ') 2 i∈{i|((x i ,y i )∈D V )}

[0120] When the value of the loss function of the neural network model after the i-th round of training is greater than the value of the loss function of the neural network model after the i-1-th round of training, the training is stopped and the neural network model after the i-1-th round of training is output. At this time, the training of the neural network model is completed.

[0121] S5. Based on the trained neural network model, the electric field strength correction values ​​of the M test points are obtained according to the latitude and longitude coordinates of the M test points.

[0122] S6. Correct the predicted values ​​of the electric field strength at the M test points according to the correction values ​​of the electric field strength at the M test points to obtain a coverage simulation result of the very high frequency communication station. The coverage simulation result is used to characterize the communication coverage range of the very high frequency communication station. The coverage simulation result includes the actual value of the electric field strength of each grid in the multiple grids of the target area.

[0123] In some embodiments, see Figure 4 The above S6 specifically includes the following steps:

[0124] S61, summing the electric field strength correction value of the M test points and the electric field strength prediction value to determine the actual value of the electric field strength of the M test points;

[0125] S62, dividing the target area into a plurality of grids of the same area;

[0126] S63, determining the average value of the actual values ​​of the electric field strength at the multiple test points located in each grid as the actual value of the electric field strength corresponding to each grid;

[0127] S64. Determine the coverage simulation result of the VHF communication station according to the actual value of the electric field strength corresponding to each grid.

[0128] From the above S1-S6, it can be known that the method provided by the embodiment of the present invention trains the neural network model through the predicted values ​​of the electric field strength and the actual values ​​of the electric field strength at multiple test points, and then the actual value of the electric field strength corresponding to each test point can be obtained through the neural network model, so as to quickly and accurately obtain the coverage simulation result of the very high frequency communication station, which can effectively improve the efficiency of determining the communication coverage range of the very high frequency communication station, and improve the accuracy of the coverage simulation result. In other words: the method provided by the embodiment of the present invention can realize the correction of the predicted value of the electric field strength of each test point around the very high frequency communication station through the neural network model obtained by training a small amount of data, so as to realize the rapid determination of the communication coverage range of the very high frequency communication station, and then continuously optimize the current coverage effect of the very high frequency communication station, and more in line with the actual needs of engineering applications, and can provide support for the optimization and adjustment of the layout of the very high frequency communication station.

[0129] In some embodiments, the method provided by the embodiment of the present invention further includes the following steps:

[0130] The coverage simulation results of VHF communication stations are displayed on the preset interface.

[0131] In this way, users can quickly view the coverage simulation results of VHF communication stations and accurately understand the communication coverage range of VHF communication stations, which makes it easier for users to adjust the layout of VHF communication stations based on the coverage simulation results, thereby improving processing efficiency.

[0132] To facilitate understanding of the present solution, the following describes a method for determining the communication coverage range of a VHF communication station provided by an embodiment of the present invention in conjunction with an example. First, the determination system 100 determines the predicted values ​​of the electric field strength of 5000 test points in a target area of ​​the VHF communication station according to parameter information of the VHF communication station, the target area being the surrounding area of ​​the VHF communication station, the parameter information including a plurality of parameter values ​​for characterizing performance indicators and loss indicators of the VHF communication station; secondly, the determination system 100 obtains actual values ​​of the electric field strength of 100 test points out of the 5000 test points through a field strength meter; a training sample set is determined according to the actual values ​​of the electric field strength and the predicted values ​​of the electric field strength of the 100 test points, the training sample set including 100 training samples, each of the training samples having a predetermined value. The present invention includes latitude and longitude information of the test points and an electric field strength correction value, wherein the electric field strength correction value is the difference between the actual electric field strength value and the predicted electric field strength value; the neural network model is trained according to the training sample set to obtain a trained neural network model; based on the trained neural network model, the electric field strength correction values ​​of the 5000 test points are obtained according to the latitude and longitude coordinates of the 5000 test points; the electric field strength predicted values ​​of the 5000 test points are corrected according to the electric field strength correction values ​​of the 5000 test points to obtain a coverage simulation result of the very high frequency communication station, the coverage simulation result is used to characterize the communication coverage range of the very high frequency communication station, and the coverage simulation result includes the actual value of the electric field strength of each grid in the multiple grids of the target area.

[0133] It should be understood that the above number of test points and the number of training samples are only exemplary. More or fewer test points can be determined based on the actual scenario requirements, and more or fewer training samples can be determined based on the longitude requirements of the neural network model. The embodiments of the present invention do not impose any particular restrictions on this.

[0134] The above mainly introduces the scheme of the embodiment of the present invention from the perspective of the method. It can be understood that in order to realize the above functions, the determination system 100 includes at least one of the hardware structure and software modules corresponding to each function. It should be easily appreciated by those skilled in the art that, in combination with the units and algorithm steps of each example described in the embodiments disclosed herein, the embodiment of the present invention can be implemented in the form of hardware or a combination of hardware and computer software. Whether a function is executed in the form of hardware or computer software driving hardware depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of the embodiment of the present invention.

[0135] The embodiment of the present invention can divide the determination system 100 into functional units according to the above method example. For example, the determination system 100 can be divided into functional units corresponding to various functions, or two or more functions can be integrated into one processing unit. The above integrated unit can be implemented in the form of hardware or in the form of software functional units. It should be noted that the division of units in the embodiment of the present invention is schematic and is only a logical functional division. There may be other division methods in actual implementation.

[0136] For example, Figure 5 The hardware structure diagram of a determination system 100 provided by an embodiment of the present invention is shown. The determination system 100 includes: a first processing unit 510, which is used to determine the predicted values ​​of the electric field strength of M test points in the target area of ​​the VHF communication station according to the parameter information of the VHF communication station, the target area is determined according to the position of the VHF communication station, and the parameter information includes a plurality of parameter values ​​for characterizing the performance index and loss index of the VHF communication station; a measuring unit 520, which is used to obtain the actual values ​​of the electric field strength of N test points among the M test points, wherein N is less than M, and M and N are positive integers greater than 1; a second processing unit 530, which is used to determine a training sample set according to the actual values ​​of the electric field strength of the N test points and the predicted values ​​of the electric field strength, the training sample set including N training samples, each training sample including the latitude and longitude information of the test point and the electric field strength correction value. value, wherein the electric field strength correction value is the difference between the actual value of the electric field strength and the predicted value of the electric field strength; a training unit 540, used to train the neural network model according to the training sample set to obtain a trained neural network model; a third processing unit 550, used to obtain the electric field strength correction values ​​of the M test points according to the latitude and longitude coordinates of the M test points based on the trained neural network model; a fourth processing unit 560, used to correct the electric field strength predicted values ​​of the M test points according to the electric field strength correction values ​​of the M test points to obtain a coverage simulation result of the very high frequency communication station, the coverage simulation result is used to characterize the communication coverage range of the very high frequency communication station, and the coverage simulation result includes the actual value of the electric field strength of each grid in the multiple grids of the target area.

[0137] Optionally, the formula for determining the predicted value of the electric field strength is:

[0138] E b =135.1+20lg f-ΔW+GLL h -L b -L t ;

[0139] Among them, E bis the predicted value of electric field strength, f is the transmission frequency, in MHz; ΔW is the difference between the shore-based base station transmission power and the standard 1kW; G is the shore-based base station transmitting antenna gain; L is the shore-based base station RF feeder loss, in dB; L h Insert attenuation for the shore-based transmitter combiner; L b is the transmission loss; L t is the correction factor, which is the isolated mountain correction factor αK im and sea-land mixing correction factor K s The sum of

[0140] The formula for determining ΔW is:

[0141]

[0142] P t is the output power of the shore-based base station transmitter, in kW;

[0143] The formula for determining L is:

[0144] L = β × l;

[0145] β is the loss per unit length of the RF feeder line, and l is the unit length of the RF feeder line.

[0146] Optionally, the measuring unit 520 is specifically used to: obtain the actual value of the electric field strength of multiple test points through a field strength meter; determine the abnormal sampling points among the multiple test points, the abnormal sampling points are test points located below the building, the distance to the very high frequency communication station is not within a preset distance threshold range, and the actual value of the electric field strength is not within a preset field strength threshold range; delete the actual value of the electric field strength of the abnormal sampling points from the actual values ​​of the electric field strength of the multiple test points, and obtain the actual values ​​of the electric field strength of N test points.

[0147] Optionally, the fourth processing unit 560 is specifically used to: determine the actual value of the electric field strength of the M test points by adding the electric field strength correction value and the electric field strength prediction value of the M test points; divide the target area into multiple grids of the same area; determine the average value of the actual value of the electric field strength of multiple test points located in each grid as the actual value of the electric field strength corresponding to each grid; and determine the coverage simulation result of the very high frequency communication station according to the actual value of the electric field strength corresponding to each grid.

[0148] Optionally, the above system further includes: a display unit 570, used to display the coverage simulation results of the VHF communication station on a preset interface.

[0149] Those skilled in the art will appreciate that all or part of the steps of the above embodiments can be implemented by instructing the relevant hardware through a program, and the program can be stored in a computer-readable storage medium. The above-mentioned storage medium can be a read-only memory, a random access memory, etc. The above-mentioned processing unit or processor can be a central processing unit, a general-purpose processor, a specific circuit structure (application specific integrated circuit, ASIC), a microprocessor (digital signal processor, DSP), a field programmable gate array (field programmable gate array, FPGA) or other programmable logic devices, transistor logic devices, hardware components or any combination thereof.

[0150] The embodiment of the present invention also provides a computer program product including instructions, when the instructions are run on a computer, the computer executes any one of the methods in the above embodiments. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on the computer, the process or function according to the embodiment of the present invention is generated in whole or in part. The computer may be a general-purpose computer, a special-purpose computer, a computer network or other programmable device. The computer instructions may be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions may be transmitted from one website, computer, server or data center to another website, computer, server or data center by wired (e.g., coaxial cable, optical fiber, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium may be any available medium that can be accessed by a computer or a data storage device such as a server or data center that includes one or more available media integrated therein. The available medium may be a magnetic medium (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium (e.g., an SSD), etc.

[0151] It should be noted that the above-mentioned devices for storing computer instructions or computer programs provided in the embodiments of the present invention, such as but not limited to the above-mentioned memory, computer-readable storage medium and communication chip, etc., all have non-transitory. Those skilled in the art should be aware that in one or more of the above-mentioned examples, the functions described in the embodiments of the present invention can be implemented with hardware, software, firmware or any combination thereof. When implemented using software, these functions can be stored in a computer-readable storage medium or transmitted as one or more instructions or codes on a computer-readable storage medium. Computer-readable storage media include computer storage media and communication media, wherein the communication medium includes any medium that is convenient for transmitting a computer program from one place to another. The storage medium can be any available medium that a general or special-purpose computer can access.

[0152] Although the embodiments of the present invention have been shown and described above, it is to be understood that the above embodiments are exemplary and are not to be construed as limitations of the present invention. A person skilled in the art may change, modify, replace and vary the above embodiments within the scope of the present invention.

Claims

1. A method for determining the communication coverage range of a very high frequency communication station, characterized in that: The method comprises: Determining predicted values ​​of electric field strength at M test points within a target area of ​​the VHF communication station according to parameter information of the VHF communication station, wherein the target area is determined according to the position of the VHF communication station, and the parameter information includes a plurality of parameter values ​​for characterizing performance indicators and loss indicators of the VHF communication station; Obtaining actual values ​​of electric field strength at N test points among M test points, where N is less than M, and M and N are positive integers greater than 1; Determine a training sample set according to the actual values ​​of the electric field strength and the predicted values ​​of the electric field strength at the N test points, wherein the training sample set includes N training samples, each of which includes the latitude and longitude information of the test point and an electric field strength correction value, wherein the electric field strength correction value is the difference between the actual value of the electric field strength and the predicted value of the electric field strength; Training the neural network model according to the training sample set to obtain a trained neural network model; Based on the trained neural network model, and according to the latitude and longitude coordinates of the M test points, obtaining electric field strength correction values ​​of the M test points; Correcting the predicted electric field strength values ​​of the M test points according to the electric field strength correction values ​​of the M test points to obtain a coverage simulation result of the very high frequency communication station, wherein the coverage simulation result is used to characterize the communication coverage range of the very high frequency communication station, and the coverage simulation result includes an actual value of the electric field strength of each grid in the multiple grids of the target area; The formula for determining the predicted value of electric field strength is: ； in, is the predicted value of electric field strength, is the transmission frequency, in MHz; The difference between the shore-based base station transmission power and the standard 1kW; Transmitting antenna gain of shore-based base station; is the radio frequency feeder loss of the shore-based base station, in dB; Insert attenuation for shore-based transmitter combiner; is the transmission loss; is the correction factor, the correction factor is the isolated mountain correction factor and sea-land mixing correction factor The sum of The formula for determining is: ； is the output power of the shore-based base station transmitter, in kW; The formula for determining is: ； is the loss per unit length of the RF feeder, is the unit length of the RF feeder; The obtaining of the actual values ​​of the electric field strength of N test points among the M test points includes: The actual value of the electric field strength at multiple test points is obtained by a field strength measuring device; Determine an abnormal sampling point among the multiple test points, wherein the abnormal sampling point is a test point located below a building, whose distance from the very high frequency communication station is not within a preset distance threshold range, and whose actual value of electric field strength is not within a preset field strength threshold range; The actual value of the electric field strength of the abnormal sampling point is deleted from the actual values ​​of the electric field strength of the multiple test points to obtain the actual values ​​of the electric field strength of N test points.

2. The method according to claim 1, characterized in that The method of correcting the predicted electric field strength values ​​of the M test points according to the electric field strength correction values ​​of the M test points to obtain the coverage simulation result of the VHF communication station includes: The sum of the electric field strength correction value and the electric field strength prediction value of the M test points is determined as the actual value of the electric field strength of the M test points; Dividing the target area into a plurality of grids of equal area; The average value of the actual values ​​of the electric field strength at a plurality of test points located in each grid is determined as the actual value of the electric field strength corresponding to each grid; The coverage simulation result of the VHF communication station is determined according to the actual value of the electric field strength corresponding to each grid.

3. The method according to claim 2, characterized in that The method further comprises: The coverage simulation result of the VHF communication station is displayed on a preset interface.

4. A communication coverage determination system for a very high frequency communication station, characterized in that: The system comprises: a first processing unit, for determining predicted values ​​of electric field strengths of M test points within a target area of ​​a very high frequency communication station according to parameter information of the very high frequency communication station, wherein the target area is determined according to a position of the very high frequency communication station, and wherein the parameter information includes a plurality of parameter values ​​for characterizing performance indicators and loss indicators of the very high frequency communication station; A measuring unit, used to obtain actual values ​​of electric field strength at N test points among M test points, wherein N is less than M, and M and N are positive integers greater than 1; A second processing unit is used to determine a training sample set according to the actual value of the electric field strength and the predicted value of the electric field strength of the N test points, wherein the training sample set includes N training samples, each of which includes the latitude and longitude information of the test point and an electric field strength correction value, wherein the electric field strength correction value is the difference between the actual value of the electric field strength and the predicted value of the electric field strength; A training unit, used to train the neural network model according to the training sample set to obtain a trained neural network model; A third processing unit is used to obtain the electric field strength correction values ​​of the M test points according to the longitude and latitude coordinates of the M test points based on the trained neural network model; a fourth processing unit, configured to correct the predicted electric field strength values ​​of the M test points according to the electric field strength correction values ​​of the M test points, to obtain a coverage simulation result of the very high frequency communication station, wherein the coverage simulation result is used to characterize the communication coverage range of the very high frequency communication station, and the coverage simulation result includes an actual value of the electric field strength of each grid in the multiple grids of the target area; The formula for determining the predicted value of electric field strength is: ； in, is the predicted value of electric field strength, is the transmission frequency, in MHz; The difference between the shore-based base station transmission power and the standard 1kW; Transmitting antenna gain of shore-based base station; is the radio frequency feeder loss of the shore-based base station, in dB; Insert attenuation for shore-based transmitter combiner; is the transmission loss; is the correction factor, the correction factor is the isolated mountain correction factor and sea-land mixing correction factor The sum of The formula for determining is: ； is the output power of the shore-based base station transmitter, in kW; The formula for determining is: ； is the loss per unit length of the RF feeder, is the unit length of the RF feeder; The measuring unit is specifically used for: The actual value of the electric field strength at multiple test points is obtained by a field strength measuring device; Determine an abnormal sampling point among the multiple test points, wherein the abnormal sampling point is a test point located below a building, whose distance from the very high frequency communication station is not within a preset distance threshold range, and whose actual value of electric field strength is not within a preset field strength threshold range; The actual value of the electric field strength of the abnormal sampling point is deleted from the actual values ​​of the electric field strength of the multiple test points to obtain the actual values ​​of the electric field strength of N test points.

5. The system according to claim 4, characterized in that The fourth processing unit is specifically configured to: The sum of the electric field strength correction value and the electric field strength prediction value of the M test points is determined as the actual value of the electric field strength of the M test points; Dividing the target area into a plurality of grids of equal area; The average value of the actual values ​​of the electric field strength at a plurality of test points located in each grid is determined as the actual value of the electric field strength corresponding to each grid; The coverage simulation result of the VHF communication station is determined according to the actual value of the electric field strength corresponding to each grid.

6. The system according to claim 5, characterized in that The system further comprises: The display unit is used to display the coverage simulation result of the very high frequency communication station on a preset interface.

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