CN115632725B - Indoor wireless signal intensity distribution detection method and device and electronic equipment - Google Patents
Indoor wireless signal intensity distribution detection method and device and electronic equipment Download PDFInfo
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- CN115632725B CN115632725B CN202211637940.2A CN202211637940A CN115632725B CN 115632725 B CN115632725 B CN 115632725B CN 202211637940 A CN202211637940 A CN 202211637940A CN 115632725 B CN115632725 B CN 115632725B
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Abstract
The application provides an indoor wireless signal intensity distribution detection method, an indoor wireless signal intensity distribution detection device and electronic equipment, belongs to the field of communication, and the indoor wireless signal intensity distribution detection method of the embodiment of the application comprises the following steps: acquiring the wireless signal intensity of a wireless signal incidence position of a target room; calculating the wireless signal intensity of each detection point in the target room according to the wireless signal intensity of the wireless signal incidence position; and generating the wireless signal intensity distribution of the target room based on the wireless signal intensity of each detection point, so that the wireless signal intensity distribution of the target room in the house to be detected can be accurately obtained based on the indoor propagation mode of the wireless signal, and the wireless signal intensity distribution is used for optimizing the deployment position of the wireless signal source.
Description
Technical Field
The application belongs to the technical field of communication, and particularly relates to an indoor wireless signal intensity distribution detection method and device and electronic equipment.
Background
The wireless transmission process is complicated, the phenomena of reflection, scattering and penetration can occur when the wireless transmission process encounters an obstacle, the phenomenon of diffraction (diffraction) can occur at the edge, and for signals received by a terminal antenna, the wireless signals are superposed after being directly projected, penetrated, reflected, diffracted and the like through a plurality of paths. When detecting the indoor wireless signal intensity, even the same size of house type, the different internal structure, wall thickness, finishing material, the difference of furniture placement, even the orientation of router placement also very obviously influences the effect of actual wireless coverage.
The related technology mainly adopts two modes, one mode is that a user constructs a house type graph through a software function, then drags and puts a router in the house type graph, the intensity of coverage is indicated by the change of color, the basic principle is that attenuation calculation is carried out according to physical distance, and the maximum deviation is found from the actual situation in use. The other mode is a user self-testing mode, namely, a user holds a mobile phone connected with a router, then walks to each room to click the position of the user at the mobile phone end, then performs speed measurement once, and generates a coverage map of the whole house type according to the speed measurement result after completing the speed measurement of each room. On one hand, the method requires high participation of a user, is inconvenient to use and is not friendly to common users, in addition, the speed measurement is only carried out once in each room, the deviation exists between the position in the room and the actual position of people, and the reference value of the obtained result is not high.
Therefore, the detection method of the intensity distribution of the related indoor wireless signals is far away from the real coverage condition, the obtained intensity distribution result of the wireless signals is not accurate enough, and the reference value is low.
Disclosure of Invention
In view of this, the present application provides a method, an apparatus, and an electronic device for detecting indoor wireless signal strength distribution.
Specifically, the method is realized through the following technical scheme:
in a first aspect, a method for detecting indoor wireless signal strength distribution is provided, the method including:
acquiring the wireless signal intensity of a wireless signal incidence position of a target room;
calculating the wireless signal intensity of each detection point in the target room according to the wireless signal intensity of the wireless signal incidence position;
and generating the wireless signal strength distribution of the target room based on the wireless signal strength of each detection point.
Optionally, the target room is a room where no wireless signal source is deployed; the wireless signal incidence position is the relative position of a wireless signal incidence door in the target room relative to the deployment position of the wireless signal source.
Optionally, before obtaining the wireless signal strength of the wireless signal incident position of the target room, the method further includes:
acquiring the wireless signal intensity of a wireless signal incidence position of an adjacent room corresponding to a wireless signal incidence door in the target room; the adjacent room is a room taking a wireless signal incident door in the target room as a wireless signal emergent door of the adjacent room;
and calculating the wireless signal strength of the wireless signal incidence position of the target room based on the wireless signal strength of the wireless signal incidence position of the adjacent room.
Optionally, the calculating the wireless signal strength of the wireless signal incident position of the target room based on the wireless signal strength of the wireless signal incident position of the adjacent room includes:
and calculating the wireless signal intensity of the wireless signal incidence position of the target room according to the wireless signal intensity of the wireless signal incidence position of the adjacent room, the distance attenuation parameter from the wireless signal incidence position of the adjacent room to the wireless signal incidence position of the target room and the break angle attenuation parameter from the wireless signal incidence position of the adjacent room to the wireless signal incidence position of the target room.
Optionally, the calculating the wireless signal strength of each detection point in the target room according to the wireless signal strength of the wireless signal incidence position includes:
and calculating the wireless signal intensity of each detection point in the target room according to the wireless signal intensity of the wireless signal incidence position, the distance attenuation parameter from the wireless signal incidence position to each detection point and the included angle attenuation parameter from the wireless signal incidence position to each detection point.
Optionally, in a case where a plurality of doors exist in the target room, the door on which the wireless signal of the target room is incident is the door with the highest wireless signal strength.
Optionally, before obtaining the wireless signal strength of the wireless signal incidence position of the target room, the method further includes:
acquiring a house type structure diagram of a house to be tested;
and outputting the house type structure chart, and acquiring the deployment position of a wireless signal source specified in the output house type structure chart.
Optionally, the method further comprises:
and after the wireless signal intensity distribution of each room of the house to be tested is obtained, performing visual rendering on the wireless signal intensity distribution in the house to be tested according to the corresponding relation between the wireless signal intensity and the color.
Optionally, performing visual rendering on the wireless signal intensity distribution in the room to be tested includes:
generating a thermodynamic diagram indicating the wireless signal strength distribution in the room to be tested based on the wireless signal strength distribution in the room to be tested.
Optionally, the obtaining of the house type structure diagram of the house to be tested includes:
acquiring a house type structure atlas of a cell where a house to be tested is located from a server at a cloud based on the current state of a wireless signal source deployed in the house to be tested;
and acquiring the house type structure chart of the house to be tested, which is designated in the house type structure chart set.
Optionally, the obtaining of the house type structure diagram of the house to be tested includes:
and leading in the house type structure chart of the house to be tested.
In a second aspect, an indoor wireless signal strength distribution detection apparatus is provided, the apparatus comprising:
the first execution module is used for acquiring the wireless signal intensity of a wireless signal incidence position of a target room;
the second execution module is used for calculating the wireless signal intensity of each detection point in the target room according to the wireless signal intensity of the wireless signal incidence position;
and the statistical module is used for generating the wireless signal strength distribution of the target room based on the wireless signal strength of each detection point.
In a third aspect, a computer-readable storage medium is provided, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method of the first aspect.
In a fourth aspect, an electronic device is provided, which comprises a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the steps of the method according to the first aspect when executing the program.
According to the embodiment of the application, the wireless signal intensity of the wireless signal incidence position of the target room is obtained by determining the wireless signal incidence position of the target room, and the wireless signal intensity of each detection point in the target room is calculated according to the wireless signal intensity of the wireless signal incidence position to generate the wireless signal intensity distribution of the target room, so that the wireless signal intensity distribution of the target room in a house to be detected can be accurately obtained based on the indoor propagation mode of the wireless signal, and the wireless signal intensity distribution is used for optimizing the deployment position of a wireless signal source.
Drawings
Fig. 1 is a schematic flow chart illustrating an indoor wireless signal strength distribution detection method according to an exemplary embodiment of the present application;
fig. 2 is a house type structure diagram of a house to be tested according to an exemplary embodiment of the present application;
fig. 3 is a flowchart illustrating another indoor wireless signal strength distribution detection method according to an exemplary embodiment of the present application;
fig. 4 is a flowchart illustrating another indoor wireless signal strength distribution detection method according to an exemplary embodiment of the present application;
fig. 5 is a schematic structural diagram of an indoor wireless signal strength distribution detection apparatus according to an exemplary embodiment of the present application;
fig. 6 is a schematic structural diagram of an electronic device according to an exemplary embodiment of the present application.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present application, as detailed in the appended claims.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. As used in this application and the appended claims, the singular forms "a", "an", and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It should also be understood that the term "and/or" as used herein refers to and encompasses any and all possible combinations of one or more of the associated listed items.
It should be understood that although the terms first, second, third, etc. may be used herein to describe various information, such information should not be limited to these terms. These terms are only used to distinguish one type of information from another. For example, first information may also be referred to as second information, and similarly, second information may also be referred to as first information, without departing from the scope of the present application. The word "if" as used herein may be interpreted as "at" \8230; "or" when 8230; \8230; "or" in response to a determination ", depending on the context.
After acquiring the house structure diagram of a house, the related art obtains the wireless signal strength in each room according to the position of a wireless signal source, such as a router, deployed by a user, and the basic principle is to perform attenuation calculation according to the physical distance regardless of the influence of spaced walls on different positions of the room, which causes great deviation from actual use.
In the dense point location test of the actual house type, the following results are found:
1. the wireless signal can present the scattering phenomenon after passing the door, and wireless signal will attenuate along with the distance increases to become weaker along with the increase of contained angle, is obviously better than other positions in the scope of just facing door incident angle, and can have a small weakening at the wall.
2. When passing through a narrow passage, it appears that little or no significant weakening occurs with distance from the passage opening. The wireless signal strength in the channel does not change much, and the phenomenon that the signal strength at the middle point of the channel is slightly weak and the signal strength at the two sides of the channel is slightly strong is shown.
3. While the wireless signals are obviously weakened after passing through the bearing wall (about 15db for 2.4G signals and about 30dB for 5g signals), when a door capable of passing through exists at a short distance, the weakening effect is obviously weakened (about 0db for 2.4G signals and about 15dB for 5g signals), namely, the energy of the signals cannot be kept in an unsealed space, and most of the signals are transmitted out from the door through multipath reflection.
Based on the actual measurement, according to the real propagation mode of the wireless signals in the space, the wireless signals attenuate along with the increase of the space, and are diffused in the room through repeated reflection of the ceiling, the floor and the walls of the room, the wireless signals continuously reflected in different directions from top to bottom and from left to right finally find a path from the space outlet of the room, the wireless signals are gathered to flow out from the doors and the windows of the room, and finally the whole room is covered in the same mode until the path reaches the limit of signal attenuation. The wireless signal source may be thought of as a large water pipe spraying water in the maze, whereas the wireless signal is like turbulent water, which flows through the various maze joints after repeated impacts of the maze walls and then flows through the whole maze. It is also conceivable that the water flow of the whole labyrinth is more or less turbulent if the water pipe is initially sprayed in the direction of the outlet of the labyrinth path, and more or less gentle if the water pipe is initially sprayed toward the wall of the labyrinth, but the orientation of the water pipe only affects the turbulence of the water flow at each gateway of the labyrinth and does not affect the direction of the water flow. Therefore, each room of the house is divided based on the above idea, and the wireless signal strength of the plurality of detection points in each room is calculated respectively to obtain the wireless signal strength distribution of each room.
Fig. 1 shows an indoor wireless signal strength distribution detection method provided in an embodiment of the present Application, where the method may be applied to an electronic device, where the electronic device is installed with an Application program (APP) that can implement the indoor wireless signal strength distribution detection method, and the electronic device may be a computer, a mobile phone, a tablet, or the like. As shown in fig. 1, the method includes the following steps.
And S110, acquiring the wireless signal intensity of the wireless signal incidence position of the target room.
And after the house type structure chart of the house to be tested is obtained, identifying the house type structure chart into a plurality of different rooms. As shown in fig. 2, after the house to be tested as shown in fig. 2 is acquired, the house to be tested may be identified as a plurality of rooms A0 to A7.
The target room can be any room identified from the house to be tested, and can also be a room specified by the user according to actual needs.
In calculating the wireless signal intensity distribution in the target room based on the wireless signal propagation method described above, it is first necessary to determine the wireless signal incident position in the target room from the transmission direction of the wireless signal.
In one embodiment, the target room is a room in a room to be tested, where no wireless signal source is deployed; the wireless signal incidence position is the position of a wireless signal incidence door in the target room, or the relative position of the wireless signal incidence door in the target room relative to the deployment position of the wireless signal source. And the wireless signal intensity of the wireless signal incidence position of the target room is the calculated wireless signal intensity of the position of the wireless signal incidence door. As shown in fig. 2, taking room A4 as an example of a target room, door M4 is a wireless signal incident door of room A4, and a wireless signal incident position of room A4 may be a position of door M4, or a relative position of door M4 and a deployment position where wireless signal source M0 is located.
In another embodiment, the target room is a room where a wireless signal source is deployed in a room to be tested, the wireless signal incident position of the target room is a deployment position where the target signal source is located, and the wireless signal strength of the wireless signal incident position of the target room is the wireless signal strength of the wireless signal source. As shown in fig. 2, the room A0 is a room where the wireless signal source is deployed, and the wireless signal incident position of the room A0 is a deployment position where the target signal source M0 is located.
It should be noted that the door of the entrance doors may also be understood as other areas as connection spaces between rooms, such as windows, according to the house type structure diagram, and for the sake of simplicity, the door is exemplified in the following embodiments.
And S120, calculating the wireless signal intensity of each detection point in the target room according to the wireless signal intensity of the wireless signal incidence position.
The distribution position and the distribution density of the respective detection points in the target room may be set according to the shape, size, and the like of the target room.
The wireless signal intensity of the wireless signal incidence position is used as the initial intensity, and the wireless signal intensity of each detection point in the target room is calculated according to the relative position relation between each detection point and the wireless signal incidence position, the transmission direction of the wireless signal and the like.
And S130, generating the wireless signal strength distribution of the target room based on the wireless signal strength of each detection point.
In one embodiment, the wireless signal intensity distribution of the target room may be visually rendered according to the correspondence between the wireless signal intensity and the color.
In one embodiment, each wireless signal strength value may correspond to a color on a thermal induction scale, which is filled into the premise graph to generate a thermodynamic graph indicating the wireless signal strength distribution of the target room.
In one embodiment, a user may reselect a deployment location for a wireless signal source to obtain a wireless signal strength distribution for a target room at a different deployment location. For example, the wireless signal source M0 in fig. 2 is relocated to a position in the room A0 close to the room A4 and the wireless signal strength distribution of the target room is recalculated, or the wireless signal source M0 in fig. 2 is relocated to the room A4 and the wireless signal strength distribution of the target room is recalculated.
By changing the deployment position of the wireless signal source in the house to be tested, the wireless signal intensity distribution corresponding to different deployment positions can be compared, so that the deployment position of the wireless signal source can be optimized aiming at a target room, and the deployment position of the wireless signal source which is more suitable for the self requirements of a user is selected.
Based on the technical scheme of the embodiment, the wireless signal intensity of the wireless signal incidence position of the target room is obtained by determining the wireless signal incidence position of the target room, and the wireless signal intensity of each detection point in the target room is calculated according to the wireless signal intensity of the wireless signal incidence position to generate the wireless signal intensity distribution of the target room, so that the wireless signal intensity distribution of the target room in the house to be detected can be accurately obtained based on the indoor propagation mode of the wireless signal, and the wireless signal intensity distribution is used for optimizing the deployment position of the wireless signal source.
Based on the foregoing embodiment, further, as shown in fig. 3, in the case that the target room is a room where no wireless signal source is deployed, before step S110, the method further includes:
s101, acquiring wireless signal intensity of a wireless signal incidence position of an adjacent room corresponding to a wireless signal incidence door in the target room; and the adjacent room is a room which takes the wireless signal incident door in the target room as the wireless signal emergent door of the adjacent room.
When the wireless signal intensity of the wireless signal incidence position of each room in the house to be tested is calculated, the room in which the wireless signal source is deployed can be used as an initial room according to the deployment position of the wireless signal source, and the wireless signal intensity of the position of the door of each room through which the wireless signal passes is calculated in sequence according to the transmission mode of the wireless signal. As shown in fig. 2, the room A0 is a room where a wireless signal source is deployed, and according to the transmission mode of the wireless signal, the wireless signal strength of the positions of the doors M1 to M5 related to the room A0 can be calculated first, and then the wireless signal strength of the positions of the doors M6 and M7 related to the room A4 can be calculated.
For the target room, the wireless signal of the target room enters the door and is also taken as the wireless signal of the adjacent room to exit the door. Therefore, when calculating the wireless signal strength of the wireless signal incident on the door of the target room, the wireless signal strength of the wireless signal incident position of the adjacent room needs to be obtained first. As shown in fig. 2, taking room M4 as an example of a target room, door M4 is both a wireless signal entrance door of room A4 and a wireless signal exit door of room A0, and when calculating the wireless signal strength of door M4, it is necessary to first obtain the wireless signal strength of the wireless signal entrance position of room A0, and since room A0 is a room where a wireless signal source is deployed, the wireless signal strength of the wireless signal entrance position of room A0 is the wireless signal strength of wireless signal source M0. For another example, taking room A7 as the target room, to calculate the wireless signal strength at the position where the wireless signal of room A7 enters door M7, the wireless signal strength at the position where the wireless signal of room A4 enters needs to be obtained first, that is, the wireless signal strength at the position where door M4 is located needs to be obtained first.
S102, calculating the wireless signal intensity of the wireless signal incidence position of the target room based on the wireless signal intensity of the wireless signal incidence position of the adjacent room.
The method for calculating the wireless signal strength of the wireless signal incident position of the target room in step S102 may be various, and the embodiment of the present application only provides one specific implementation manner.
And calculating the wireless signal intensity of the wireless signal incidence position of the target room according to the wireless signal intensity of the wireless signal incidence position of the adjacent room, the distance attenuation parameter from the wireless signal incidence position of the adjacent room to the wireless signal incidence position of the target room and the break angle attenuation parameter from the wireless signal incidence position of the adjacent room to the wireless signal incidence position of the target room.
The distance attenuation parameter is a phenomenon that a wireless signal is weakened along with the propagation distance when the wireless signal propagates in the air.
The bevel attenuation parameter is caused by that the wireless signal transmission of the house type structure exists from 0 to n times
The multipath influence generated by each change weakens the signal strength, and is reflected by the break-angle attenuation parameter.
In a kind of fruitIn the embodiment, the wireless signal strength of the wireless signal incident position of the target room
It can be expressed by the following formula:
According to the technical scheme of the embodiment, the wireless signal strength of the wireless signal incidence position of the target room is calculated by acquiring the wireless signal strength of the wireless signal incidence position of the adjacent room corresponding to the wireless signal incidence door in the target room, so that the wireless signal strength of the wireless signal incidence position of the target room can be accurately acquired and used for accurately calculating the wireless signal strength distribution of the target room.
Based on the above embodiments, further, the method for calculating the wireless signal strength of each detection point in the target room in step S120 may be various, and this embodiment of the present application only provides one specific implementation manner.
And calculating the wireless signal intensity of each detection point in the target room according to the wireless signal intensity of the wireless signal incidence position, the distance attenuation parameter from the wireless signal incidence position to each detection point and the included angle attenuation parameter from the wireless signal incidence position to each detection point.
The included angle attenuation parameter describes the phenomenon that when the detection point found in actual measurement and the wireless signal enter the door to form an included angle, the signal is attenuated compared with the signal which is directly opposite to the wireless signal and enters the door.
In one embodiment, the wireless signal strength of detection point j of the target room
It can be expressed by the following formula:
The distance attenuation parameter, the dog-ear angle attenuation parameter and the included angle attenuation parameter can be obtained in various manners, in one implementation manner, the distance attenuation parameter, the dog-ear angle attenuation parameter and the included angle attenuation parameter corresponding to each house type structure can be obtained through actual test and instrument simulation on houses to be tested with different house type structures, or even the distance attenuation parameter, the dog-ear angle attenuation parameter and the included angle attenuation parameter corresponding to each room can be obtained and stored in a server at the cloud end. And after the user selects the router placement position in the room through the stored test data and the fitting curve corresponding to the test data, carrying out interpolation calculation according to the measured distance, the break angle or the included angle data to obtain the corresponding attenuation parameter value.
In another embodiment, based on big data, a large number of actual test and instrument simulation results of houses to be tested with different house types are obtained, and based on main attribute parameters of each house type, such as house area, room number, door size and the like, a gradient selection strategy for distance attenuation parameters, bevel attenuation parameters and included angle attenuation parameters is determined. For example, the distance attenuation parameter, the break angle attenuation parameter, and the included angle attenuation parameter are divided into two parameter sets based on the area of the house, which are respectively:
big house type (
): distance attenuation parameter is 2.5dB/m, angle attenuation parameter is 5 dB/time, and included angle attenuation parameter is 0.17 dB/degree;
small and medium sized dwelling size: (
): the distance attenuation parameter is 2.5dB/m, the break angle attenuation parameter is 7 dB/time, and the included angle attenuation parameter is 0.15 dB/degree.
According to the technical scheme of the embodiment, the wireless signal strength of each detection point in the target room is accurately calculated through the distance attenuation parameter and the included angle attenuation parameter, and the wireless signal strength distribution is obtained.
Fig. 4 shows an indoor wireless signal strength distribution detection method provided by an embodiment of the present application, which includes the following steps.
S410, acquiring a house type structure diagram of a house to be tested;
the manner of obtaining the house type structure diagram of the house to be tested in step S410 may be various, and in an embodiment, the obtaining the house type structure diagram of the house to be tested includes:
the electronic equipment can acquire a house type structure atlas of a cell where a house to be tested is located from a server at a cloud end based on the current state of a wireless signal source deployed in the house to be tested;
and acquiring the house type structure diagram of the house to be tested, which is designated from the house type structure diagram set, and specifically, selecting the house type structure diagram corresponding to the house to be tested from the house type structure diagram set by a user.
After the electronic equipment completes the initialization configuration of the deployed wireless signal source, the wireless signal source is accessed to the internet, and the current state is sent to the server by the wireless signal source. The server may obtain relevant information of the wireless signal source, such as a device model, a geographic location, an operator type, and the like, according to the current state of the wireless signal source, and may perform positioning by using an Internet Protocol (IP) address accessed by the wireless signal source, for example. The server may obtain an access internet IP address from a current state reported by the wireless signal source, and then call an Application Programming Interface (API) to query a detailed address location and operator attribution information of the wireless signal source. After the server acquires the detailed geographic position of the wireless signal source, the family structure diagram set of the corresponding cell can be called from the database and sent to the electronic equipment for the user to select, so that the family structure diagram of the house to be detected is acquired.
For the distance attenuation parameter, the bevel attenuation parameter and the included angle attenuation parameter, if the server simultaneously stores the distance attenuation parameter, the bevel attenuation parameter and the included angle attenuation parameter corresponding to the house type structure diagram, the distance attenuation parameter, the bevel attenuation parameter and the included angle attenuation parameter can be used as the distance attenuation parameter, the bevel attenuation parameter and the included angle attenuation parameter of the house to be tested. If the distance attenuation parameter, the bevel attenuation parameter and the included angle attenuation parameter corresponding to the house type structure diagram are not stored in the server, the distance attenuation parameter, the bevel attenuation parameter and the included angle attenuation parameter of the house to be tested can be selected from all parameter sets based on the gradient selection strategy.
In another embodiment, the obtaining the house type structure diagram of the house to be tested includes:
and leading the house type structure chart of the house to be tested into the house type structure chart by the user. If the house type structure chart of the house to be tested does not exist in the house type structure chart set called from the database by the server, the corresponding house type structure chart can be automatically led in by the user, automatically generated and modeled by an algorithm, and uploaded back to the database of the server.
For the distance attenuation parameter, the bevel attenuation parameter and the included angle attenuation parameter, the server can obtain the main attribute parameter of the house to be tested according to the uploaded house type structure diagram, and select the distance attenuation parameter, the bevel attenuation parameter and the included angle attenuation parameter of the house to be tested from each parameter group based on the gradient selection strategy.
And S420, acquiring the deployment position of the wireless signal source.
In an embodiment, the house type structure diagram may be output, and a deployment location of the wireless signal source specified in the output house type structure diagram may be obtained, and specifically, the deployment location of the wireless signal source may be specified by a user through electronic equipment in the house type structure diagram by selecting, inputting, dragging, or the like.
And S430, determining each door in the house to be tested according to the house type structure diagram.
S440, calculating the wireless signal intensity of the position of each door according to the deployment position of the wireless signal source.
Steps S430 to S440 may implement the method embodiments of steps S101 to S102 in fig. 3, and obtain the same or similar technical effects, and repeated portions are not described herein again.
As shown in the above embodiment, the influence factors to be considered in calculating the wireless signal strength of the location of each door may include: the wireless signal intensity, the distance attenuation parameter and the break angle attenuation parameter of the wireless signal incidence position.
And S450, dividing the house to be tested into a plurality of rooms according to the house type structure diagram.
And S460, acquiring the wireless signal intensity of the wireless signal incidence position of each room.
In one embodiment, for a room where no wireless signal source is deployed, in a case where a plurality of doors exist in the target room, the wireless signal incident door of the target room is the door with the highest wireless signal strength, and a position where the wireless signal incident door is located is taken as the wireless signal incident position of the target room.
In another embodiment, for a room where no wireless signal source is deployed, in a case where it is determined that there are a plurality of wireless signal incident doors in the target room according to the transmission direction of the wireless signal, for example, assuming that there are a plurality of doors between the rooms A0 and A4 as shown in fig. 2, the positions where the wireless signal having the greatest wireless signal intensity is incident into the doors may be respectively used as the wireless signal incident positions of the target room.
In another embodiment, for a room where no wireless signal source is deployed, when it is determined that multiple wireless signal incidence doors exist in the target room according to the transmission direction of the wireless signal, each wireless signal incidence door may be used as the wireless signal incidence position of the target room to perform a subsequent calculation process, and the obtained results may be summarized, superimposed, or equivalently processed.
For the sake of simplicity, the following embodiments are exemplified by each room including only one wireless signal incident position.
And S470, calculating the wireless signal intensity of each detection point in each room according to the wireless signal intensity of the wireless signal incidence position.
As shown in the above embodiment, the influencing factors to be considered in calculating the wireless signal strength of each detection point may include: the wireless signal intensity, the distance attenuation parameter and the included angle attenuation parameter of the wireless signal incidence position.
And S480, generating the wireless signal intensity distribution of the house to be detected based on the wireless signal intensity of each detection point.
Steps S450 to S480 may implement the method embodiment of steps S110 to S130 in fig. 1, and obtain the same technical effect, and repeated portions are not described herein again.
In one embodiment, after the wireless signal intensity distribution of each room of a room to be tested is obtained, the wireless signal intensity distribution in the room to be tested is visually rendered according to the corresponding relation between the wireless signal intensity and the color.
In one embodiment, a thermodynamic diagram indicative of a wireless signal strength distribution within the premises may be generated based on the wireless signal strength distribution within the premises.
Taking the house to be tested as shown in fig. 2 as an example, the wireless signal intensity distribution detection process of the house to be tested is as follows:
1. identifying the house to be tested as rooms A0-A7;
2. acquiring a deployment position of a wireless signal source, taking a room A0 as an initial room, and calculating the wireless signal intensity of each detection point in the room A0, wherein each detection point in the room A0 can only consider a distance attenuation parameter;
3. sequentially calculating the wireless signal intensity of wireless signals of rooms A1-A5 adjacent to the room A0 and entering the doors M1-M5;
4. calculating the wireless signal intensity of each detection point in the rooms A1-A5 according to the wireless signal intensity of the wireless signal incident to the doors M1-M5;
5. according to the wireless signal intensity of the wireless signal incident door M4 of the room A4, calculating the wireless signal intensity of the wireless signal incident doors M6 and M7 of A6 and A7 adjacent to the room A4;
6. calculating the wireless signal intensity of each detection point in the rooms A6 and A7 according to the wireless signal intensity of the wireless signal incident to the doors M6 and M7;
7. and visually rendering the house to be detected for the color on the thermal induction color level corresponding to the wireless signal intensity of each detection point to obtain the thermodynamic diagram of the house to be detected.
By changing the deployment position of the wireless signal source in the house to be tested, the intensity distribution of the wireless signal in the house to be tested corresponding to different deployment positions can be compared, and therefore the deployment position of the wireless signal source can be optimized for the house to be tested.
According to the technical scheme of the embodiment, the house type structure diagram of the house to be detected is obtained, the user outputs the arrangement position of the wireless signal source appointed in the house type structure diagram, each room in the house to be detected can be automatically divided, the wireless signal intensity of the incident position of each room is calculated, and the wireless signal intensity of each detection point in each room is calculated, so that the wireless signal intensity distribution of the house to be detected can be accurately obtained, the arrangement position of the wireless signal source is optimized, and under the condition that the existing product software and hardware framework are not subjected to great adjustment, the user operation is simple, great convenience is brought to the wireless device before and after sale, and the practicability is strong.
Corresponding to the embodiment of the indoor wireless signal strength distribution detection method, the application also provides an embodiment of an indoor wireless signal strength distribution detection device.
As shown in fig. 5, the indoor wireless signal strength distribution detection apparatus includes: a first execution module 501, a second execution module 502, and a statistics module 503.
The first executing module 501 is configured to obtain a wireless signal strength of a wireless signal incident position of a target room; the second executing module 502 is configured to calculate the wireless signal strength of each detection point in the target room according to the wireless signal strength of the wireless signal incident position; the statistical module 503 is configured to generate a wireless signal strength distribution of the target room based on the wireless signal strength of each detection point.
Based on the technical scheme of the embodiment, the wireless signal intensity of the wireless signal incidence position of the target room is obtained by determining the wireless signal incidence position of the target room, and the wireless signal intensity of each detection point in the target room is calculated according to the wireless signal intensity of the wireless signal incidence position to generate the wireless signal intensity distribution of the target room, so that the wireless signal intensity distribution of the target room in the house to be detected can be accurately obtained based on the indoor propagation mode of the wireless signal, and the wireless signal intensity distribution is used for optimizing the deployment position of the wireless signal source.
Based on the above embodiment, optionally, the target room is a room where no wireless signal source is deployed; the wireless signal incidence position is the relative position of a wireless signal incidence door in the target room relative to the deployment position of the wireless signal source.
Optionally, the first executing module 501 is further configured to:
acquiring the wireless signal intensity of a wireless signal incidence position of an adjacent room corresponding to the wireless signal incidence door of the target room; the adjacent room is a room which takes the wireless signal incident door in the target room as the wireless signal emergent door of the adjacent room;
and calculating the wireless signal strength of the wireless signal incidence position of the target room based on the wireless signal strength of the wireless signal incidence position of the adjacent room.
Optionally, the first executing module 501 is configured to calculate the wireless signal strength of the wireless signal incident position of the target room according to the wireless signal strength of the wireless signal incident position of the adjacent room, a distance attenuation parameter from the wireless signal incident position of the adjacent room to the wireless signal incident position of the target room, and a break angle attenuation parameter from the wireless signal incident position of the adjacent room to the wireless signal incident position of the target room.
According to the technical scheme of the embodiment, the wireless signal strength of the wireless signal incidence position of the target room is calculated by acquiring the wireless signal strength of the wireless signal incidence position of the adjacent room corresponding to the wireless signal incidence door in the target room, so that the wireless signal strength of the wireless signal incidence position of the target room can be accurately acquired, and the wireless signal strength distribution of the target room can be accurately calculated.
Based on the foregoing embodiment, optionally, the second executing module 502 is configured to calculate the wireless signal strength of each detection point in the target room according to the wireless signal strength of the wireless signal incident position, the distance attenuation parameter from the wireless signal incident position to each detection point, and the included angle attenuation parameter from the wireless signal incident position to each detection point.
According to the technical scheme of the embodiment, the wireless signal strength of each detection point in the target room is accurately calculated through the distance attenuation parameter and the included angle attenuation parameter, and the wireless signal strength distribution is obtained.
Based on the above embodiment, optionally, the first executing module 501 is further configured to:
acquiring a house type structure diagram of a house to be detected;
and outputting the house type structure chart, and acquiring the deployment position of the wireless signal source specified in the output house type structure chart.
Optionally, in a case where a plurality of doors exist in the target room, the door on which the wireless signal of the target room is incident is the door with the highest wireless signal strength.
Optionally, the statistical module is further configured to perform visual rendering on the wireless signal intensity distribution in the room to be tested according to the correspondence between the wireless signal intensity and the color after the wireless signal intensity distribution in each room of the room to be tested is obtained.
Optionally, the statistical module is configured to generate a thermodynamic diagram indicating the wireless signal strength distribution in the room to be tested based on the wireless signal strength distribution in the room to be tested.
According to the technical scheme of the embodiment, the house type structure diagram of the house to be detected is obtained, the user outputs the arrangement position of the wireless signal source appointed in the house type structure diagram, each room in the house to be detected can be automatically divided, the wireless signal intensity of the incident position of each room is calculated, and the wireless signal intensity of each detection point in each room is calculated, so that the wireless signal intensity distribution of the house to be detected can be accurately obtained, the arrangement position of the wireless signal source is optimized, and under the condition that the existing product software and hardware framework are not subjected to great adjustment, the user operation is simple, great convenience is brought to the wireless device before and after sale, and the practicability is strong.
The embodiment of the indoor wireless signal intensity distribution detection device can be applied to electronic equipment. The device embodiments may be implemented by software, or by hardware, or by a combination of hardware and software. Taking a software implementation as an example, as a logical device, the device is formed by reading, by a processor of the electronic device where the device is located, a corresponding computer program instruction in the nonvolatile memory into the memory for operation. In terms of hardware, as shown in fig. 6, the present application is a hardware structure diagram of an electronic device in which an indoor wireless signal strength distribution detection apparatus is located, where the electronic device in which the apparatus is located in the embodiment may further include other hardware according to an actual function of the electronic device, in addition to the processor, the memory, the network interface, and the nonvolatile memory shown in fig. 6, and details of this are not repeated.
The specific details of the implementation process of the functions and actions of each unit in the above device are the implementation processes of the corresponding steps in the above method, and are not described herein again.
For the device embodiments, since they substantially correspond to the method embodiments, reference may be made to the partial description of the method embodiments for relevant points. The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the scheme of the application. One of ordinary skill in the art can understand and implement it without inventive effort.
The embodiment of the present application further provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the steps of the method for detecting an intensity distribution of an internal radio signal as described above, and can achieve the same technical effects, and is not described herein again to avoid repetition.
Embodiments of the subject matter and the functional operations described in this specification can be implemented in: digital electronic circuitry, tangibly embodied computer software or firmware, computer hardware including the structures disclosed in this specification and their structural equivalents, or a combination of one or more of them. Embodiments of the subject matter described in this specification can be implemented as one or more computer programs, i.e., one or more modules of computer program instructions, encoded on a tangible, non-transitory program carrier for execution by, or to control the operation of, data processing apparatus. Alternatively or additionally, the program instructions may be encoded on an artificially generated propagated signal, e.g., a machine-generated electrical, optical, or electromagnetic signal, that is generated to encode and transmit information to suitable receiver apparatus for execution by the data processing apparatus. The computer storage medium may be a machine-readable storage device, a machine-readable storage substrate, a random or serial access memory device, or a combination of one or more of them.
The processes and logic flows described in this specification can be performed by one or more programmable computers executing one or more computer programs to perform corresponding functions by operating on input data and generating output. The processes and logic flows can also be performed by, and apparatus can also be implemented as, special purpose logic circuitry, e.g., an FPGA (field programmable gate array) or an ASIC (application-specific integrated circuit).
Computers suitable for executing computer programs include, for example, general and/or special purpose microprocessors, or any other type of central processing unit. Generally, a central processing unit will receive instructions and data from a read-only memory and/or a random access memory. The basic components of a computer include a central processing unit for implementing or executing instructions and one or more memory devices for storing instructions and data. Generally, a computer will also include, or be operatively coupled to receive data from or transfer data to, or both, one or more mass storage devices for storing data, e.g., magnetic, magneto-optical disks, or optical disks. However, a computer does not necessarily have such a device. Moreover, a computer may be embedded in another device, e.g., a mobile telephone, a Personal Digital Assistant (PDA), a mobile audio or video player, a game console, a Global Positioning System (GPS) receiver, or a portable storage device such as a Universal Serial Bus (USB) flash drive, to name a few.
Computer-readable media suitable for storing computer program instructions and data include all forms of non-volatile memory, media and memory devices, including by way of example semiconductor memory devices (e.g., EPROM, EEPROM, and flash memory devices), magnetic disks (e.g., an internal hard disk or a removable disk), magneto-optical disks, and CD ROM and DVD-ROM disks. The processor and the memory can be supplemented by, or incorporated in, special purpose logic circuitry.
While this specification contains many specific implementation details, these should not be construed as limitations on the scope of any invention or of what may be claimed, but rather as descriptions of features specific to particular embodiments of particular inventions. Certain features that are described in this specification in the context of separate embodiments can also be implemented in combination in a single embodiment. In other instances, features described in connection with one embodiment may be implemented as discrete components or in any suitable subcombination. Moreover, although features may be described above as acting in certain combinations and even initially claimed as such, one or more features from a claimed combination can in some cases be excised from the combination, and the claimed combination may be directed to a subcombination or variation of a subcombination.
Similarly, while operations are depicted in the drawings in a particular order, this should not be understood as requiring that such operations be performed in the particular order shown or in sequential order, or that all illustrated operations be performed, to achieve desirable results. In some cases, multitasking and parallel processing may be advantageous. Moreover, the separation of various system modules and components in the embodiments described above should not be understood as requiring such separation in all embodiments, and it should be understood that the described program components and systems can generally be integrated together in a single software product or packaged into multiple software products.
Thus, particular embodiments of the subject matter have been described. Other embodiments are within the scope of the following claims. In some cases, the actions recited in the claims can be performed in a different order and still achieve desirable results. Further, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some implementations, multitasking and parallel processing may be advantageous.
The above description is only exemplary of the present application and should not be taken as limiting the present application, as any modification, equivalent replacement, or improvement made within the spirit and principle of the present application should be included in the scope of protection of the present application.
Claims (14)
1. An indoor wireless signal strength distribution detection method, the method comprising:
acquiring the wireless signal intensity of a wireless signal incidence position of a target room;
calculating the wireless signal intensity of each detection point in the target room according to the wireless signal intensity of the wireless signal incidence position;
generating a wireless signal strength distribution of the target room based on the wireless signal strength of each detection point;
and if the target room is a room where no wireless signal source is deployed, the wireless signal incidence position is a position corresponding to a wireless signal incidence door in the target room.
2. The method of claim 1, wherein the target room is a room where no wireless signal source is deployed; the wireless signal incidence position is the relative position of a wireless signal incidence door in the target room relative to the deployment position of the wireless signal source.
3. The method of claim 1 or 2, wherein before obtaining the wireless signal strength of the wireless signal incidence location of the target room, the method further comprises:
acquiring the wireless signal intensity of a wireless signal incidence position of an adjacent room corresponding to a wireless signal incidence door in the target room; the adjacent room is a room taking a wireless signal incident door in the target room as a wireless signal emergent door of the adjacent room;
and calculating the wireless signal strength of the wireless signal incidence position of the target room based on the wireless signal strength of the wireless signal incidence position of the adjacent room.
4. The method according to claim 3, wherein the calculating the wireless signal strength of the wireless signal incident position of the target room based on the wireless signal strength of the wireless signal incident position of the adjacent room comprises:
and calculating the wireless signal intensity of the wireless signal incidence position of the target room according to the wireless signal intensity of the wireless signal incidence position of the adjacent room, the distance attenuation parameter from the wireless signal incidence position of the adjacent room to the wireless signal incidence position of the target room and the folding angle attenuation parameter from the wireless signal incidence position of the adjacent room to the wireless signal incidence position of the target room.
5. The method according to claim 1 or 2, wherein the calculating the wireless signal strength of each detection point in the target room according to the wireless signal strength of the wireless signal incidence position comprises:
and calculating the wireless signal intensity of each detection point in the target room according to the wireless signal intensity of the wireless signal incidence position, the distance attenuation parameter from the wireless signal incidence position to each detection point and the included angle attenuation parameter from the wireless signal incidence position to each detection point.
6. The method according to claim 1 or 2, wherein in the case that a plurality of doors exist in the target room, the wireless signal incident door of the target room is the door with the highest wireless signal strength.
7. The method according to claim 1 or 2, wherein before obtaining the wireless signal strength of the wireless signal incident position of the target room, further comprising:
acquiring a house type structure diagram of a house to be tested;
and outputting the house type structure chart, and acquiring the deployment position of the wireless signal source specified in the output house type structure chart.
8. The method of claim 7, further comprising:
and after the wireless signal intensity distribution of each room of the house to be tested is obtained, performing visual rendering on the wireless signal intensity distribution in the house to be tested according to the corresponding relation between the wireless signal intensity and the color.
9. The method according to claim 8, wherein visually rendering the wireless signal strength distribution in the building to be tested comprises:
generating a thermodynamic diagram indicating the wireless signal strength distribution in the room to be tested based on the wireless signal strength distribution in the room to be tested.
10. The method according to claim 7, wherein the obtaining the house type structure diagram of the house to be tested comprises:
acquiring a house type structure atlas of a cell where a house to be tested is located from a server at a cloud based on the current state of a wireless signal source deployed in the house to be tested;
and selecting the house type structure chart of the house to be tested from the house type structure chart set.
11. The method according to claim 7, wherein the obtaining the house type structure diagram of the house to be tested comprises:
and leading in the house type structure chart of the house to be tested.
12. An indoor wireless signal strength distribution detection device, the device comprising:
the first execution module is used for acquiring the wireless signal intensity of a wireless signal incidence position of a target room;
the second execution module is used for calculating the wireless signal intensity of each detection point in the target room according to the wireless signal intensity of the wireless signal incidence position;
the statistical module is used for generating the wireless signal strength distribution of the target room based on the wireless signal strength of each detection point;
and if the target room is a room where no wireless signal source is deployed, the wireless signal incidence position is a position corresponding to a wireless signal incidence door in the target room.
13. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 11.
14. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the steps of the method of any of claims 1-11 are performed when the program is executed by the processor.
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Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104185270A (en) * | 2013-05-28 | 2014-12-03 | 中国电信股份有限公司 | Indoor positioning method, system and positioning platform |
| CN105430671A (en) * | 2015-10-23 | 2016-03-23 | 广东欧珀移动通信有限公司 | Generation method and apparatus of wireless communication signal strength graph |
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| US20180070212A1 (en) * | 2016-09-02 | 2018-03-08 | Athentek Innovations, Inc. | Systems and methods to track movement of a device in an indoor environment |
| CN107623925A (en) * | 2017-09-26 | 2018-01-23 | 甘肃万维信息技术有限责任公司 | A kind of indoor wifi signal detecting methods and system based on floor plan |
| CN114827926B (en) * | 2022-06-28 | 2022-09-23 | 中家院（北京）检测认证有限公司 | Optimization method and system of path loss and method for measuring signal intensity |
| CN115002791B (en) * | 2022-08-01 | 2022-11-29 | 中家院（北京）检测认证有限公司 | Intelligent home space deployment prediction method and device based on wireless signal intensity distribution |
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| CN104185270A (en) * | 2013-05-28 | 2014-12-03 | 中国电信股份有限公司 | Indoor positioning method, system and positioning platform |
| CN105430671A (en) * | 2015-10-23 | 2016-03-23 | 广东欧珀移动通信有限公司 | Generation method and apparatus of wireless communication signal strength graph |
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