CN116614187A - Signal strength determining method, device, equipment and storage medium - Google Patents
Signal strength determining method, device, equipment and storage medium Download PDFInfo
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Abstract
The application provides a signal strength determining method, device and equipment based on a region position and a storage medium. The signal strength determining method comprises the following steps: acquiring sample internal signal intensities and sample inlet signal intensities of a plurality of sample areas; determining comprehensive attenuation parameters of wireless network signal intensities of a plurality of sample areas from the inside of the sample areas to the sample area entrance according to the signal intensities inside the sample and the signal intensities of the sample entrance; acquiring target internal signal intensity of a target area; and determining the target entrance signal intensity of the target area according to the target internal signal intensity and the comprehensive attenuation parameter. According to the method and the device, the inlet signal intensity of each target area is not required to be detected one by one, so that the labor cost is greatly reduced, the data updating period is shortened, and the instantaneity of the inlet signal intensity of the target area can be ensured.
Description
Technical Field
The present application relates to the field of wireless network signal technologies, and in particular, to a method, an apparatus, a device, and a storage medium for determining signal strength based on a regional location.
Background
With the popularity of wireless network technology (Wireless Fidelity, WIFI), more and more stores install wireless access points, providing convenience for store customers to access the internet. When a user enters a store, the wireless network signal strength of the user mobile terminal reaches the store entering signal strength threshold value of the store, so that whether the user enters the store or not can be judged through the wireless network signal strength of the user mobile terminal recorded by the wireless access point, and the store entering passenger flow of the store can be estimated.
Acquiring the store signal strength threshold of a store is critical to determining whether a user is in store. The current method is to obtain the signal intensity of each store by the detection of the professional going to the gate.
However, the manual detection method requires a lot of manpower and time, and is costly, and the update period is long, so that the real-time performance of the data cannot be ensured.
Disclosure of Invention
In view of the foregoing, the present application has been developed to provide a method, apparatus, device, and storage medium for determining signal strength based on a location of a region that overcome or at least partially solve the foregoing, including:
the method comprises the steps that an entrance is formed in the edge of an area, a wireless access point is arranged in the area, and the wireless network signal intensity of the wireless access point is gradually attenuated from the wireless access point to the entrance; the signal strength determining method comprises the following steps:
Acquiring sample internal signal intensities and sample inlet signal intensities of a plurality of sample areas;
determining comprehensive attenuation parameters of wireless network signal intensities of a plurality of sample areas from the inside of the sample areas to the sample area entrance according to the signal intensities inside the sample and the signal intensities of the sample entrance;
acquiring target internal signal intensity of a target area;
and determining the target entrance signal intensity of the target area according to the target internal signal intensity and the comprehensive attenuation parameter.
Preferably, the step of determining the comprehensive attenuation parameters of the wireless network signal strengths of the plurality of sample areas from the inside of the sample areas to the sample area entrance according to the signal strengths of the inside of the sample and the signal strengths of the sample entrance includes:
setting the value of the attenuation parameter when the value of the sample signal difference value is minimum as the comprehensive attenuation parameter; the calculation formula of the sample signal difference value is as follows:
wherein g_s is the sample signal difference; m is the total number of sample regions; n is n k A total number of signal intensities within the sample that is the kth of the sample regions;an ith said sample internal signal strength for a kth said sample region; alpha is the attenuation parameter; g_s_e k The sample entry signal strength for the kth of the sample regions.
Preferably, the step of determining the target inlet signal strength of the target area according to the target internal signal strength and the integrated attenuation parameter includes:
the reference inlet signal strength is calculated according to the following formula:
wherein G_t_r is the reference entry signal strength, n t A total number of the target internal signal strengths for the target region; g_t_i j A j-th one of the target internal signal strengths; alpha op Is the comprehensive attenuation parameter;
and determining the target inlet signal strength according to the reference inlet signal strength and a preset default inlet signal strength.
Preferably, the step of determining the target inlet signal strength according to the reference inlet signal strength and a preset default inlet signal strength includes:
the target signal difference is calculated as:
G_t＝|G_t_r-G_t_p|；
wherein g_t is the target signal difference; gjt_r is the reference inlet signal strength; g_t_p is the default entry signal strength;
and when the target signal difference value is smaller than a preset error, setting the reference inlet signal intensity as the target inlet signal intensity.
Preferably, the step of determining the target inlet signal strength according to the reference inlet signal strength and a preset default inlet signal strength further includes:
and when the difference value of the target signals is larger than or equal to a preset error, adding the target area into a list to be detected.
Preferably, the step of determining the target inlet signal strength of the target area according to the target internal signal strength and the integrated attenuation parameter further includes:
the default entry signal strength is calculated as:
wherein g_t_p is the default entry signal strength; m is the total number of sample regions; g_s_e k The sample entry signal strength for the kth of the sample regions.
Preferably, the method further comprises:
acquiring initial internal signal intensities and initial inlet signal intensities of a plurality of initial areas;
when the number of the initial internal signal intensities of the initial region is greater than a preset number, the initial region is set as the sample region, the initial internal signal intensity of the initial region is set as the sample internal signal intensity of the sample region, and the initial inlet signal intensity of the initial region is set as the sample inlet signal intensity of the sample region.
A signal strength determining device based on a region position, wherein a wireless access point is arranged in the region; the wireless network signal intensity of the wireless access point is gradually attenuated from the wireless access point to the area entrance; the signal strength determining apparatus includes:
the sample signal acquisition module is used for acquiring the sample internal signal intensity and the sample inlet signal intensity of a plurality of sample areas;
the attenuation parameter determining module is used for determining comprehensive attenuation parameters of the wireless network signal intensities of a plurality of sample areas from the inside of the sample areas to the sample area entrance according to the signal intensity inside the sample and the signal intensity of the sample entrance;
the target signal acquisition module is used for acquiring the target internal signal intensity of the target area;
and the target signal determining module is used for determining the target inlet signal intensity of the target area according to the target internal signal intensity and the comprehensive attenuation parameter.
A computer device comprising a processor, a memory and a computer program stored on the memory and capable of running on the processor, which when executed by the processor implements a signal strength determination method as claimed in any one of the preceding claims.
A computer readable storage medium having stored thereon a computer program which when executed by a processor implements a signal strength determination method as claimed in any one of the preceding claims.
The application has the following advantages:
in the embodiment of the application, compared with the problem of higher detection cost required by the existing signal intensity determination method, the application provides a solution for determining the entrance signal intensity of the target area based on the signal attenuation parameter of the sample area, which specifically comprises the following steps: the method for determining the signal strength based on the region position is characterized in that a wireless access point is arranged in a region, and the signal strength of a wireless network of the wireless access point is gradually attenuated from the wireless access point to a region entrance; the signal strength determining method comprises the following steps: acquiring sample internal signal intensities and sample inlet signal intensities of a plurality of sample areas; determining comprehensive attenuation parameters of wireless network signal intensities of a plurality of sample areas from the inside of the sample areas to the sample area entrance according to the signal intensities inside the sample and the signal intensities of the sample entrance; acquiring target internal signal intensity of a target area; and determining the target entrance signal intensity of the target area according to the target internal signal intensity and the comprehensive attenuation parameter. By determining the comprehensive attenuation parameters from the inside of the sample area to the entrance of the sample area of the wireless network signal intensities of a plurality of sample areas and determining the target entrance signal intensities of the target areas according to the target internal signal intensities and the comprehensive attenuation parameters, the entrance signal intensities of each target area do not need to be detected one by one, the labor cost is greatly reduced, the data updating period is shortened, and the real-time performance of the entrance signal intensities of the target areas can be ensured.
Drawings
In order to more clearly illustrate the technical solutions of the present application, the drawings that are needed in the description of the present application will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present application, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flowchart illustrating a method for determining signal strength based on location of a region according to an embodiment of the present application;
FIG. 2 is a block diagram of a signal strength determining apparatus according to an embodiment of the present application;
fig. 3 is a schematic structural diagram of a computer device according to an embodiment of the present application.
Reference numerals in the drawings of the specification are as follows:
12. a computer device; 14. an external device; 16. a processing unit; 18. a bus; 20. a network adapter; 22. an I/O interface; 24. a display; 28. a memory; 30. a random access memory; 32. a cache memory; 34. a storage system; 40. program/utility; 42. program modules.
Detailed Description
In order that the manner in which the above recited objects, features and advantages of the present application are obtained will become more readily apparent, a more particular description of the application briefly described above will be rendered by reference to the appended drawings. It will be apparent that the described embodiments are some, but not all, embodiments of the application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
The inventor finds out through analyzing the prior art that the current method for determining the signal intensity of the incoming store obtains the signal intensity of each store through the detection of the entering store of a professional, when the number of stores is large, the manual detection method needs to input a large amount of manpower and time, the cost is high, and when the stores are used for replacing new wireless access points, the corresponding signal intensity of the incoming store possibly changes, but the update period of the signal intensity of the incoming store by the manual detection method is long, and the data cannot be updated in time so as to ensure the real-time performance of the incoming store.
It should be noted that, in any embodiment of the present application, the signal strength determining method is used to evaluate the entrance signal strength of an area, where the area is a closed area provided with an entrance at an edge position, for example, a mall store or a street store, and the shape of the area may be a circle, a rectangle, or other patterns; the wireless access point can be arranged in the central position of the area, can also be arranged in other positions in the area, can record the wireless network signal intensity of a mobile terminal (such as a smart phone or a computer) connected with the wireless access point, and gradually attenuates from the wireless access point to the entrance.
Referring to fig. 1, a method for determining signal strength based on a region location according to an embodiment of the present application is shown, including:
s110, acquiring the sample internal signal intensity and the sample inlet signal intensity of a plurality of sample areas;
s120, determining comprehensive attenuation parameters of wireless network signal intensities of a plurality of sample areas from the inside of the sample areas to the sample area entrance according to the signal intensities inside the sample and the signal intensities of the sample entrance;
s130, acquiring target internal signal intensity of a target area;
and S140, determining the target entrance signal intensity of the target area according to the target internal signal intensity and the comprehensive attenuation parameter.
In the embodiment of the application, compared with the problem of higher detection cost required by the existing signal intensity determination method, the application provides a solution for determining the entrance signal intensity of the target area based on the signal attenuation parameter of the sample area, which specifically comprises the following steps: the method for determining the signal strength based on the region position is characterized in that a wireless access point is arranged in a region, and the signal strength of a wireless network of the wireless access point is gradually attenuated from the wireless access point to a region entrance; the signal strength determining method comprises the following steps: acquiring sample internal signal intensities and sample inlet signal intensities of a plurality of sample areas; determining comprehensive attenuation parameters of wireless network signal intensities of a plurality of sample areas from the inside of the sample areas to the sample area entrance according to the signal intensities inside the sample and the signal intensities of the sample entrance; acquiring target internal signal intensity of a target area; and determining the target entrance signal intensity of the target area according to the target internal signal intensity and the comprehensive attenuation parameter. By determining the comprehensive attenuation parameters from the inside of the sample area to the entrance of the sample area of the wireless network signal intensities of a plurality of sample areas and determining the target entrance signal intensities of the target areas according to the target internal signal intensities and the comprehensive attenuation parameters, the entrance signal intensities of each target area do not need to be detected one by one, the labor cost is greatly reduced, the data updating period is shortened, and the real-time performance of the entrance signal intensities of the target areas can be ensured.
Next, a signal strength determining method based on the location of the region in the present exemplary embodiment will be further described.
As described in the step S110, the sample internal signal intensities and the sample inlet signal intensities of the sample areas are obtained.
It should be noted that the sample area is the same type of area as the target area to be evaluated, that is, the same or similar shape and area as the target area and the distance between the entrance and the wireless access point is the same or similar. The shape and area of the sample area and the target area and the similarity between the entrance and the wireless access point distance need to be quantitatively evaluated in advance, and as an example, the evaluation method for the shape similarity is as follows: extracting the outlines of the two areas and converting the outlines into a vector format; calculating cosine similarity or Euclidean distance between two vectors as quantized values of their shape similarity; and when the quantized value is larger than a first preset value, the two areas are regarded as areas with similar shapes. The evaluation method for the area similarity degree comprises the following steps: calculating the actual areas of the two areas; calculating the relative error between the two actual areas (i.e. the difference between the two areas divided by the average area) to obtain a quantized value of the area similarity; and when the quantized value is larger than a second preset value, the two areas are regarded as areas with similar areas. In practical application, the shape and area similarity degree can be comprehensively considered, that is, the quantized values obtained by the two schemes are weighted and averaged, for example, the weights of the shape similarity and the area similarity can be reasonably set according to specific application scenes, and then the weighted average is calculated as a final similarity index. The method for evaluating the similarity between the entrance and the wireless access point can be realized by normalizing the similarity calculation result and the area size, for example, dividing the distance value by the length of the diagonal line of the area (i.e. the distance between the two most distant vertexes of the area), obtaining a normalized value, and then comparing the similarity, so that the similarity between the entrance and the wireless access point can be reflected more objectively. And by selecting the regions with the same type as the target region as the sample region, the subsequent calculation is facilitated, and the comprehensive attenuation parameters with more reference significance are obtained.
And acquiring the internal signal intensity of the samples of the sample areas, which are larger than the preset quantity, and at least one sample inlet signal intensity. The signal strength inside the sample is recorded by a wireless access point inside the sample area. As an example, the recording method of the signal intensity inside the sample is: when any mobile terminal is connected with the wireless access point of the sample area, the wireless network signal strength of the mobile terminal and other parameters related to connection quality, such as noise level and transmission rate, are recorded by application programs (such as inSSIDer, netSpot, acrylic Wi-Fi, wiFi Analyzer and Wireshark) built in the wireless access point, and the minimum values (which may be generated by the mobile terminal outside the sample area) in the recorded data are removed by adopting a method of removing outliers (such as 3 sigma rule) and the like, so as to obtain the internal signal strength of the sample. The sample inlet signal intensity is obtained through manual detection. As an example, the method for detecting the signal intensity of the sample inlet is as follows: the wireless network signal of the wireless access point is scanned at the sample area portal using a wireless network analysis tool built-in to the mobile terminal (e.g., wi-Fi Analyzer in Windows 10 and Wireless Diagnostics in Mac OS X) and its signal strength is displayed, resulting in the sample portal signal strength.
In the step S120, a comprehensive attenuation parameter of the wireless network signal intensities of the plurality of sample areas from the inside of the sample area to the sample area entrance is determined according to the sample internal signal intensity and the sample entrance signal intensity.
In order to calculate the comprehensive attenuation parameter, a function related to the internal signal intensity of the sample, the signal intensity of the sample inlet and the attenuation parameter as a custom variable, namely a sample signal difference value, is constructed, and specifically, the calculation formula of the sample signal difference value is as follows:
wherein G_s is the sampleThe difference value of the present signal; m is the total number of sample regions; n is n k A total number of signal intensities within the sample that is the kth of the sample regions;an ith said sample internal signal strength for a kth said sample region; alpha is the attenuation parameter; g_s_e k The sample entry signal strength for the kth of the sample regions.
And setting the value of the attenuation parameter as the comprehensive attenuation parameter when the value of the sample signal difference value is minimum. As an example, the integrated attenuation parameter is calculated using an extreme point solution method: deriving G_s to obtain derivative d (G_s)/d (alpha); solving the equation d (g_s)/d (α) =0 to obtain all possible extreme points; substituting the extreme points into G_s, and calculating an alpha value and a G_s value corresponding to each extreme point; and comparing the G_s values of all the extreme points, and selecting the minimum value as the minimum value of the G_s values, wherein the corresponding alpha value is the comprehensive attenuation parameter.
As described in the step S130, a target internal signal strength of the target area is acquired.
And acquiring the target internal signal intensity according to a preset monitoring period so as to update the target inlet signal intensity. The target internal signal strength is recorded by a wireless access point within the target area. In order to ensure the real-time performance of the data, taking the wireless network signal strength of the mobile terminal connected with the wireless access point recorded in a preset period as the target internal signal strength; the preset period of time may be a period of time from a historical time to a preset time of the current time, such as the last month, last week, or last three days. As an example, the recording method of the target internal signal intensity is: when any mobile terminal is connected with the wireless access point of the target area, recording the wireless network signal strength of the mobile terminal and other parameters related to connection quality, such as noise level and transmission rate, selecting the wireless network signal strength recorded in the preset period, and removing minimum values in data (which may be generated by the mobile terminal outside the target area) by adopting a method of removing outliers (such as 3 sigma rule) and the like, so as to obtain the target internal signal strength.
As described in the step S140, a target entrance signal strength of the target area is determined according to the target internal signal strength and the integrated attenuation parameter.
As an example, the target inlet signal strength is calculated directly from the target internal signal strength and the integrated attenuation parameter. Specifically, the target inlet signal strength is calculated according to the following formula:
wherein G_t_e is the target entry signal strength, n t A total number of the target internal signal strengths for the target region; g_t_i j A j-th one of the target internal signal strengths; alpha op Is the integrated attenuation parameter. By directly calculating the assignment for the target entrance signal intensity, the target entrance signal intensity of the target area is not required to be detected manually, and the labor cost is greatly reduced.
As another example, a reference inlet signal strength of the target area is calculated from the target internal signal strength and the integrated attenuation parameter, and the reference inlet signal strength is compared with a preset default inlet signal strength to determine the target inlet signal strength. It should be noted that the default inlet signal strength may be a static value (for example, a default value that accords with industry awareness, or an average value of all the sample inlet signal strengths), or may be a dynamic value (for example, the target inlet signal strength determined by the last update). By introducing the default inlet signal strength, the abnormal condition of the target inlet signal strength (for example, too large a gap from a default value conforming to industry cognition, or too large a gap from an average value of all the sample inlet signal strengths, or too large a gap from the target inlet signal strength determined by last update) can be monitored, so that corresponding measures can be taken when the reference inlet signal strength is abnormal.
In one embodiment of the present application, the specific procedure of the step of determining the target inlet signal strength of the target area according to the target internal signal strength and the integrated attenuation parameter may be further described in conjunction with the following description.
And determining the reference inlet signal intensity of the target area according to the target internal signal intensity and the comprehensive attenuation parameter. Specifically, the reference inlet signal strength is calculated according to the following formula:
wherein G_t_r is the reference entry signal strength, n t A total number of the target internal signal strengths for the target region; g_t_i j A j-th one of the target internal signal strengths; alpha op Is the integrated attenuation parameter.
And determining the target inlet signal strength according to the reference inlet signal strength and a preset default inlet signal strength. Specifically, the target signal difference is calculated according to the following formula:
G_t＝|G_t_r-G_t_p| (4)
wherein g_t is the target signal difference; gjt_r is the reference inlet signal strength; g_t_p is the default entry signal strength.
When the target signal difference value is smaller than a preset error, setting the reference inlet signal intensity as the target inlet signal intensity;
And when the difference value of the target signals is larger than or equal to a preset error, adding the target area into a list to be detected. It should be noted that, the list to be detected is used for performing door-to-door detection for a professional to obtain the target entry signal intensity.
In an embodiment of the present application, the step of determining the target entry signal strength of the target area according to the target internal signal strength and the integrated attenuation parameter further includes:
and determining the default inlet signal strength according to the sample inlet signal strength. Specifically, the default entry signal strength is calculated according to the following formula:
wherein g_t_p is the default entry signal strength; m is the total number of sample regions; g_s_e k The sample entry signal strength for the kth of the sample regions.
In an embodiment of the present application, the signal strength determining method further includes:
an initial internal signal strength and an initial inlet signal strength of a number of initial regions are obtained. It should be noted that, the initial area is the same type of area as the target area, that is, an area that is the same as or similar to the shape and area of the target area and the distance between the entrance and the wireless access point is the same as or similar to the distance between the entrance and the wireless access point; the initial internal signal strength and the initial inlet signal strength are sample data to be processed; the initial internal signal strength is recorded by a wireless access point in the initial area, and the initial entrance signal strength is obtained through manual detection. The specific evaluation method of the similarity between the initial region and the target region and the specific acquisition method of the initial internal signal strength and the initial inlet signal strength are described with reference to the foregoing, and will not be described herein.
When the number of the initial internal signal intensities of the initial region is greater than a preset number, the initial region is set as the sample region, the initial internal signal intensity of the initial region is set as the sample internal signal intensity of the sample region, and the initial inlet signal intensity of the initial region is set as the sample inlet signal intensity of the sample region. By filtering out the data of the initial sample area with smaller initial internal signal intensity record quantity, more effective sample data can be obtained, and more accurate comprehensive attenuation parameters can be obtained by subsequent calculation.
For the device embodiments, since they are substantially similar to the method embodiments, the description is relatively simple, and reference is made to the description of the method embodiments for relevant points.
Referring to fig. 2, a signal strength determining apparatus based on a region location according to an embodiment of the present application includes:
a sample signal acquisition module 210 for acquiring sample internal signal intensities and sample inlet signal intensities of a plurality of sample areas;
an attenuation parameter determining module 220, configured to determine, according to the internal signal strength of the sample and the signal strength of the sample inlet, a comprehensive attenuation parameter of the wireless network signal strengths of the plurality of sample areas from the inside of the sample area to the sample area inlet;
A target signal obtaining module 230, configured to obtain a target internal signal strength of a target area;
the target signal determining module 240 is configured to determine a target inlet signal strength of the target area according to the target internal signal strength and the integrated attenuation parameter.
In an embodiment of the present application, the attenuation parameter determining module 220 includes:
the attenuation parameter calculation sub-module is used for setting the value of the attenuation parameter when the value of the sample signal difference value is minimum as the comprehensive attenuation parameter; the calculation formula of the sample signal difference value is as follows:
wherein g_s is the sample signal difference; m is the total number of sample regions; n is n k A total number of signal intensities within the sample that is the kth of the sample regions;an ith said sample internal signal strength for a kth said sample region; alpha is the attenuation parameter; g_s_e k The sample entry signal strength for the kth of the sample regions.
In one embodiment of the present application, the target signal determining module 240 includes:
a reference signal determination sub-module for calculating a reference inlet signal strength according to:
wherein G_t_r is the reference entry signal strength, n t A total number of the target internal signal strengths for the target region; g_t_i j A j-th one of the target internal signal strengths; alpha op Is the comprehensive attenuation parameter;
and the target signal determining submodule is used for determining the target inlet signal strength according to the reference inlet signal strength and the preset default inlet signal strength.
In an embodiment of the present application, the target signal determining submodule includes:
the target difference value calculation sub-module is used for calculating a target signal difference value according to the following formula:
G_t＝|G_t_r-G_t_p| (4)
wherein g_t is the target signal difference; gjt_r is the reference inlet signal strength; g_t_p is the default entry signal strength;
and the target signal setting submodule is used for setting the reference inlet signal strength as the target inlet signal strength when the target signal difference value is smaller than a preset error.
In an embodiment of the present application, the target signal determining submodule further includes:
and the target list generation sub-module is used for adding the target area into a list to be detected when the target signal difference value is greater than or equal to a preset error.
In an embodiment of the present application, the target signal determining module 240 further includes:
A default signal computing sub-module, configured to compute the default entry signal strength according to the following formula:
wherein g_t_p is the default entry signal strength; m is the total number of sample regions; g_s_e k The sample entry signal strength for the kth of the sample regions.
In an embodiment of the present application, the signal strength determining apparatus further includes:
an initial signal acquisition sub-module for acquiring initial internal signal intensities and initial inlet signal intensities of a plurality of initial areas;
an initial signal filtering sub-module, configured to set the initial area as the sample area, set the initial internal signal strength of the initial area as the sample internal signal strength of the sample area, and set the initial inlet signal strength of the initial area as the sample inlet signal strength of the sample area when the number of the initial internal signal strengths of the initial area is greater than a preset number.
Referring to FIG. 3, there is shown a computer device of the present application, the computer device 12 being in the form of a general purpose computing device; the computer device 12 comprises: one or more processors or processing units 16, a memory 28, and a bus 18 that connects the various system components, including the memory 28 and the processing unit 16.
Bus 18 may be one or more of several types of bus structures including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, a processor, or a local bus using any of a variety of bus architectures. By way of example, and not limitation, such architectures include Industry Standard Architecture (ISA) bus, micro channel architecture (MAC) bus, enhanced ISA bus, video Electronics Standards Association (VESA) local bus, and Peripheral Component Interconnect (PCI) bus.
Computer device 12 typically includes a variety of computer system readable media. Such media can be any available media that is accessible by computer device 12 and includes both volatile and nonvolatile media, removable and non-removable media.
Memory 28 may include computer system readable media in the form of volatile memory, such as random access memory 30 and/or cache memory 32. The computer device 12 may further include other removable/non-removable, volatile/nonvolatile computer storage media. By way of example only, storage system 34 may be used to read from or write to non-removable, nonvolatile magnetic media (commonly referred to as a "hard disk drive"). Although not shown in fig. 3, a magnetic disk drive for reading from and writing to a removable non-volatile magnetic disk (e.g., a "floppy disk"), and an optical disk drive for reading from or writing to a removable non-volatile optical disk such as a CD-ROM, DVD-ROM, or other optical media may be provided. In such cases, each drive may be coupled to bus 18 through one or more data medium interfaces. The memory may include at least one program product having a set (e.g., at least one) of program modules 42, the program modules 42 being configured to carry out the functions of embodiments of the application.
A program/utility 40 having a set (at least one) of program modules 42 may be stored, for example, in a memory, such program modules 42 including an operating system, one or more application programs, other program modules 42, and program data, each or some combination of which may include an implementation of a network environment. Program modules 42 generally perform the functions and/or methods of the embodiments described herein.
The computer device 12 may also communicate with one or more external devices 14 (e.g., keyboard, pointing device, display 24, camera, etc.), one or more devices that enable an operator to interact with the computer device 12, and/or any devices (e.g., network card, modem, etc.) that enable the computer device 12 to communicate with one or more other computing devices. Such communication may occur through the I/O interface 22. Moreover, computer device 12 may also communicate with one or more networks such as a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network such as the Internet, through network adapter 20. As shown in fig. 3, the network adapter 20 communicates with other modules of the computer device 12 via the bus 18. It should be appreciated that although not shown in fig. 3, other hardware and/or software modules may be used in connection with computer device 12, including, but not limited to: microcode, device drivers, redundant processing units 16, external disk drive arrays, RAID systems, tape drives, data backup storage systems 34, and the like.
The processing unit 16 executes programs stored in the memory 28 to perform various functional applications and data processing, for example, to implement a method for determining signal strength based on location of a region according to any of the embodiments of the present application.
That is, the processing unit 16 may implement: acquiring sample internal signal intensities and sample inlet signal intensities of a plurality of sample areas; determining comprehensive attenuation parameters of wireless network signal intensities of a plurality of sample areas from the inside of the sample areas to the sample area entrance according to the signal intensities inside the sample and the signal intensities of the sample entrance; acquiring target internal signal intensity of a target area; and determining the target entrance signal intensity of the target area according to the target internal signal intensity and the comprehensive attenuation parameter.
In an embodiment of the present application, there is also provided a computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements a method for determining signal strength based on a location of a region according to any embodiment of the present application.
That is, the program, when executed by the processor, may implement: acquiring sample internal signal intensities and sample inlet signal intensities of a plurality of sample areas; determining comprehensive attenuation parameters of wireless network signal intensities of a plurality of sample areas from the inside of the sample areas to the sample area entrance according to the signal intensities inside the sample and the signal intensities of the sample entrance; acquiring target internal signal intensity of a target area; and determining the target entrance signal intensity of the target area according to the target internal signal intensity and the comprehensive attenuation parameter.
Any combination of one or more computer readable media may be employed. The computer readable medium may be a computer readable signal medium or a computer readable storage medium. The computer readable storage medium may be an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples (a non-exhaustive list) of the computer-readable storage medium would include the following: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
The computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, either in baseband or as part of a carrier wave. Such a propagated data signal may take any of a variety of forms, including electro-magnetic, optical, or any suitable combination of the preceding. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
Computer program code for carrying out operations of the present application may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, smalltalk, C ++ and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the operator's computer, partly on the operator's computer, as a stand-alone software package, partly on the operator's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the operator computer through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computer (e.g., connected through the internet using an internet service provider). In this specification, each embodiment is described in a progressive manner, and each embodiment is mainly described by differences from other embodiments, and identical and similar parts between the embodiments are all enough to be referred to each other.
While preferred embodiments of the present application have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. It is therefore intended that the following claims be interpreted as including the preferred embodiment and all such alterations and modifications as fall within the scope of the embodiments of the application.
Finally, it is further noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or terminal that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or terminal. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article or terminal device comprising the element.
The above detailed description of the method, the device, the equipment and the storage medium for determining the signal strength based on the area position provided by the application applies specific examples to illustrate the principle and the implementation of the application, and the description of the above examples is only used for helping to understand the method and the core idea of the application; meanwhile, as those skilled in the art will have variations in the specific embodiments and application scope in accordance with the ideas of the present application, the present description should not be construed as limiting the present application in view of the above.
Claims (10)
1. The method is characterized in that an entrance is arranged at the edge of the area, a wireless access point is arranged in the area, and the wireless network signal intensity of the wireless access point is gradually attenuated from the wireless access point to the entrance; the signal strength determining method comprises the following steps:
acquiring sample internal signal intensities and sample inlet signal intensities of a plurality of sample areas;
determining comprehensive attenuation parameters of wireless network signal intensities of a plurality of sample areas from the inside of the sample areas to the sample area entrance according to the signal intensities inside the sample and the signal intensities of the sample entrance;
Acquiring target internal signal intensity of a target area;
and determining the target entrance signal intensity of the target area according to the target internal signal intensity and the comprehensive attenuation parameter.
2. The method of claim 1, wherein the step of determining the integrated attenuation parameters of the wireless network signal strengths of the plurality of sample areas from the inside of the sample areas to the sample area inlets according to the sample internal signal strengths and the sample inlet signal strengths comprises:
setting the value of the attenuation parameter when the value of the sample signal difference value is minimum as the comprehensive attenuation parameter; the calculation formula of the sample signal difference value is as follows:
wherein g_s is the sample signal difference; m is the total number of sample regions; n is n k A total number of signal intensities within the sample that is the kth of the sample regions;an ith said sample internal signal strength for a kth said sample region; alpha is the attenuation parameter; g_s_e k The sample entry signal strength for the kth of the sample regions.
3. The signal strength determination method of claim 1, wherein the step of determining the target entry signal strength of the target region based on the target internal signal strength and the integrated attenuation parameter comprises:
The reference inlet signal strength is calculated according to the following formula:
wherein G_t_r is the reference entry signal strength, n t A total number of the target internal signal strengths for the target region; g_t_i j A j-th one of the target internal signal strengths; alpha op Is the comprehensive attenuation parameter;
and determining the target inlet signal strength according to the reference inlet signal strength and a preset default inlet signal strength.
4. The signal strength determination method of claim 3, wherein the step of determining the target inlet signal strength based on the reference inlet signal strength and a preset default inlet signal strength comprises:
the target signal difference is calculated as:
G_t＝|G_t_r-G_t_p|；
wherein g_t is the target signal difference; gjt_r is the reference inlet signal strength; g_t_p is the default entry signal strength;
and when the target signal difference value is smaller than a preset error, setting the reference inlet signal intensity as the target inlet signal intensity.
5. The method of claim 4, wherein the step of determining the target inlet signal strength based on the reference inlet signal strength and a preset default inlet signal strength further comprises:
And when the difference value of the target signals is larger than or equal to a preset error, adding the target area into a list to be detected.
6. The signal strength determination method of claim 3 wherein said step of determining a target entry signal strength for said target region based on said target internal signal strength and said integrated attenuation parameter further comprises:
the default entry signal strength is calculated as:
wherein g_t_p is the default entry signal strength; m is the total number of sample regions; g_s_e k The sample entry signal strength for the kth of the sample regions.
7. The signal strength determination method of claim 1, further comprising:
acquiring initial internal signal intensities and initial inlet signal intensities of a plurality of initial areas;
when the number of the initial internal signal intensities of the initial region is greater than a preset number, the initial region is set as the sample region, the initial internal signal intensity of the initial region is set as the sample internal signal intensity of the sample region, and the initial inlet signal intensity of the initial region is set as the sample inlet signal intensity of the sample region.
8. A signal strength determining device based on a region position, which is characterized in that a wireless access point is arranged in the region; the wireless network signal intensity of the wireless access point is gradually attenuated from the wireless access point to the area entrance; the signal strength determining apparatus includes:
the sample signal acquisition module is used for acquiring the sample internal signal intensity and the sample inlet signal intensity of a plurality of sample areas;
the attenuation parameter determining module is used for determining comprehensive attenuation parameters of the wireless network signal intensities of a plurality of sample areas from the inside of the sample areas to the sample area entrance according to the signal intensity inside the sample and the signal intensity of the sample entrance;
the target signal acquisition module is used for acquiring the target internal signal intensity of the target area;
and the target signal determining module is used for determining the target inlet signal intensity of the target area according to the target internal signal intensity and the comprehensive attenuation parameter.
9. A computer device comprising a processor, a memory and a computer program stored on the memory and capable of running on the processor, which computer program, when executed by the processor, implements the signal strength determination method of any one of claims 1 to 7.
10. A computer readable storage medium, characterized in that the computer readable storage medium has stored thereon a computer program which, when executed by a processor, implements the signal strength determination method according to any of claims 1 to 7.
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