Router placement effect evaluation method, location optimization method and PDA

Abstract

The present application provides a method for evaluating the effectiveness of router placement, a method for optimizing a location, and a PDA. The evaluation method includes the following steps: S1, connecting a PDA to the wireless network, wherein the PDA has network signal strength, network speed, and location detection functions; S2, using the PDA to obtain the current location and record it as the detection location; S3, using the PDA to detect and record the network signal strength and network speed at the detection location; S4, if the number of detection locations has reached a preset detection number threshold, executing step S5; otherwise, moving from the current location to the next location within a specific space and returning to execute step S2; S5, evaluating the effectiveness of router placement based on the network signal strength, network speed, and location at each detection location. The technical solution of the present application can comprehensively and efficiently evaluate the effectiveness of router placement.

Description

Technical Field

[0001] The present invention belongs to the field of communication network installation and testing technology, and in particular relates to wireless network signal testing, evaluation and optimization technology. Specifically, a router layout effect evaluation method, a location optimization method and a PDA are provided. Background Art

[0002] my country's fiber-optic broadband technology development has taken a leading position in the world. As the communications industry continues to upgrade its fiber-optic bandwidth, most of the current online users have achieved fiber access, and the average fiber-to-the-home penetration rate has reached 65%. In order to adapt to the idea of ​​major operators to provide customers with higher-quality and high-speed fiber-to-the-home (FTTH), the concept of fiber-to-the-home (FTTR) has been proposed in recent years. Different usage spaces have different floor areas, and the space size, shape, and structure have their own characteristics. Therefore, when the router is arranged in different positions, the network status and signal effect often have great differences. In order to ensure the comprehensive coverage of the usage space by a high-speed and stable fiber-optic network, during the installation, modification and maintenance of the fiber-optic network, it is generally necessary to use a handheld PDA as an installation and maintenance tool to detect the network status at multiple detection points in the usage space to determine whether the current router layout position is the best position, or to preliminarily locate the cause of the poor network condition.

[0003] The current solution for using handheld PDA installation and maintenance tools to detect network status generally only requires installation and maintenance personnel to randomly select several detection points in the use space for detection, and then qualitatively evaluate the network status of each detection point. If the number of detection points is small, it is often impossible to detect certain "blind spots" where the network speed / signal strength suddenly drops, resulting in a decreased user experience during actual use after the network installation is completed. If the number of detection points is too large, although detailed detection of the use space can be effectively achieved, the workload during the installation and maintenance process is also greatly increased.

[0004] Therefore, a new method for evaluating the network effect provided by routers when they are deployed in a specific space is needed to comprehensively and quickly obtain the network effect of the entire usage space and serve as a basis for adjusting the router deployment plan. Summary of the Invention

[0005] The purpose of this application is to solve the problems existing in the above-mentioned prior art and to provide a method for evaluating the effect of router layout, a method for optimizing the location of routers using the method to adjust the router layout plan, and a PDA for implementing the above-mentioned method.

[0006] The present application provides a method for evaluating the effectiveness of router deployment, wherein the router is deployed in a specific space and provides a wireless network therefor. The evaluation method comprises the following steps:

[0007] S1, connecting a PDA to the wireless network, wherein the PDA has network signal strength, network speed and location detection functions;

[0008] S2, using the PDA to obtain the current location and record it as the detection location;

[0009] S3, using the PDA to detect and record the network signal strength and network speed at the detection location;

[0010] S4, if the number of detected positions has reached a preset detection number threshold, proceed to step S5; otherwise, move from the current position to the next position within the specific space and return to step S2;

[0011] S5, evaluating the placement effect of the routers based on the network signal strength, network speed, and location at each detection location.

[0012] Preferably, the detection quantity threshold is greater than or equal to 4.

[0013] Preferably, at least four detection positions are located at a distance of less than or equal to 2 m from the edge of the specific space.

[0014] Preferably, in step S4, a direction optimization strategy is used at least once to determine the direction of movement from the current position to the next position.

[0015] Furthermore, the direction optimization strategy is specifically as follows:

[0016] If RI≤RI L , then the angle between the direction of movement from the current position to the next position and the direction from the last detected position toward the current position is less than the preset angle threshold α, where RI is the rate of change of the network signal strength at the current position and the network signal strength at the last detected position, RI L is the first threshold value of the rate of change of network signal strength;

[0017] If RI ≥ RI H , then the angle between the direction of movement from the current position to the next position and the direction from the last detected position toward the current position is between 180°-α and 180°, where RI H is the second threshold of the rate of change of network signal strength and RI L <RI H ;

[0018] If RI L <RI<RI H , then the angle between the direction of movement from the current position to the next position and the direction from the last detected position toward the current position is between α and 180°-α.

[0019] Preferably, α is less than or equal to 30°.

[0020] Preferably, the PDA is also used to detect the real-time position and real-time network signal strength during the process of moving from the previous detection position to the current position, and the direction of movement from the current position to the next position is determined based on the direction optimization strategy and the real-time position and real-time network signal strength.

[0021] Furthermore, in step S5, the effect of the router placement is evaluated by the following steps:

[0022] B1, calculate the normalized variance D of the network signal strength at each detection location I ;

[0023] B2, calculate the normalized variance D of the network speed at each detection location S ;

[0024] B3, calculate the normalized variance D of the ratio of network signal strength to network speed at each detection location E ;

[0025] B4, calculate the network stability of the specific space based on the following formula:

[0026] D total =λ I D I +λ S D S +λ E D E ,

[0027] Among them, λ I ,λ S and λ E D I 、D S and D E The weight of

[0028] B5, evaluate the effect of the arrangement based on the following formula:

[0029] E={min(I i ), min(S i ), D total}, i∈1...N,

[0030] Wherein, E is the arrangement effect, N is the number of detection positions, I i 、S i are the network signal strength and network speed of the i-th detection location respectively.

[0031] The present application also provides a PDA, including a housing, a processor, a detection unit, a storage unit, an interactive display unit and a power supply unit, wherein the detection unit is used to detect network signal strength, network speed and location; the storage unit stores an executable program, and when the executable program is executed by the processor, the aforementioned router layout effect evaluation method can be implemented.

[0032] This application also provides a router location optimization method, comprising the following steps:

[0033] Execute the aforementioned router placement effect evaluation method;

[0034] If the arrangement effect does not meet the preset effect evaluation standard, the arrangement position of the router is changed and the aforementioned router arrangement effect evaluation method is executed again.

[0035] The present application provides a method for evaluating the effectiveness of router placement, a method for optimizing the location, and a PDA. These methods use an optimized directional strategy to determine the location for detection in a specific space based on the network status and quality characteristics of the wireless network provided by the routers in the specific space. These methods can quickly and effectively determine the more critical detection locations. Furthermore, when evaluating the effectiveness of router placement, they comprehensively consider various factors that may affect the network status, thereby ensuring the accuracy and comprehensiveness of the evaluation results. Using the method of the present application to evaluate the effectiveness of router placement and optimize the location of routers can reduce the workload of network installation and maintenance and improve installation and maintenance efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] Figure 1 A flowchart of a method for evaluating the effect of router placement provided according to an embodiment of the present application;

[0037] Figure 2 is a schematic diagram of dividing the area where the further motion direction is located by angle thresholds in some embodiments;

[0038] Figure 3 This is a schematic diagram of a detection interface displayed on a PDA provided in some embodiments of the present application. DETAILED DESCRIPTION

[0039] Hereinafter, the present application will be further described based on preferred embodiments with reference to the accompanying drawings.

[0040] In the description of the embodiments of the present application, it should be noted that if the terms "upper", "lower", "inside", "outside", etc. appear, the orientation or position relationship indicated is based on the orientation or position relationship shown in the accompanying drawings, or is the orientation or position relationship commonly used when implementing the embodiments of the present application. It is only for the convenience of describing the present application and simplifying the description, and does not indicate or imply that a specific orientation must be had or operation must be performed in a specific orientation. Therefore, it should not be understood as a limitation on the present application.

[0041] In addition, the terms in this specification are used to illustrate the embodiments of the present application and are not intended to limit the present application. For example, the terms first, second, etc. used in the description of the present application should not be understood as indicating or implying relative importance. Their names may be different in the detailed description and claims of the present application.

[0042] Existing indoor fiber optic networks built around FTTR optical gateways, such as home fiber optic networks, generally provide fiber optic media access to rooms through ONTs (Optical Network Terminals). FTTR optical gateways are deployed in locations such as living rooms. FTTR optical gateways connect to the optical network upstream and connect to multiple routers downstream. The routers can support Gigabit Ethernet ports and dual-band Wi-Fi, and enter every room along with the optical fiber, providing wired and wireless Gigabit coverage for each room.

[0043] In the above-mentioned home fiber optic network architecture, the network status (especially the wireless network status) and signal effect of each room are not only related to the quality of the fiber optic network, but also often have a strong correlation with the layout plan of the routers in each room. Therefore, during the network construction, modification and maintenance process, it is generally necessary to test the network status of each room to determine whether the current router layout plan is reasonable. With the popularization of handheld portable installation and maintenance equipment, the above-mentioned detection process is currently mainly carried out through handheld PDAs. If the existing detection process can be improved and a more reasonable detection plan can be formulated, it will be possible to achieve the most comprehensive detection possible while improving detection efficiency and reducing the installation and maintenance workload.

[0044] To this end, the present application provides a method for evaluating the effectiveness of router placement in a specific space. The method is used to evaluate the effectiveness of router placement in a specific space. In some embodiments, the specific space may be a space within a home wireless network, such as a living room or bedroom. Furthermore, in other embodiments, the specific space may be a space with a larger floor area / volume, such as a classroom or auditorium. Routers are placed in the specific spaces mentioned in the above embodiments and provide a wireless network therefor. It is readily apparent that, depending on the floor area / volume of the specific space, one or multiple routers may be placed in each specific space.

[0045] Figure 1 A flowchart of the implementation steps of the evaluation method in some preferred embodiments is shown. Figure 1 As shown, the evaluation method includes the following steps:

[0046] S1, connecting a PDA to the wireless network, wherein the PDA has network signal strength, network speed and location detection functions;

[0047] S2, using the PDA to obtain the current location and record it as the detection location;

[0048] S3, using the PDA to detect and record the network signal strength and network speed at the detection location;

[0049] S4, if the number of detected positions has reached a preset detection number threshold, proceed to step S5; otherwise, move from the current position to the next position within the specific space and return to step S2;

[0050] S5, evaluating the placement effect of the routers based on the network signal strength, network speed, and location at each detection location.

[0051] In an embodiment of the present application, the PDA used can detect and obtain the network signal strength, network speed and location information of its location (the location information can be two-dimensional and / or three-dimensional coordinates). In the above steps S1 to S5, the PDA is first connected to the wireless network in a specific space, and then steps S2 to S4 are executed cyclically to detect and record its location information, network signal strength and network speed information at multiple detection locations in the specific space in turn until the number of detection locations reaches a preset detection number threshold; finally, the layout effect of the router is evaluated by obtaining the above detection results of each detection location.

[0052] For example, in some specific embodiments, the preset detection quantity threshold is N, and steps S2 to S4 are performed cyclically, that is, the following values ​​are detected and recorded at N different detection positions in sequence:

[0053] {I i ,S i ,L i}, i=1...N,

[0054] Among them, I i 、S i 、L i They are respectively the network signal strength, network speed and two-dimensional and / or three-dimensional coordinates at the i-th detection position. The above N groups of data can be used to evaluate the effect of the router.

[0055] Obviously, determining the number of detection locations and their specific locations will determine the effectiveness and workload of the assessment. If there are too few detection locations, some areas with poor network quality (such as weak network signal strength and low network speed) may be missed, making it impossible to fully assess the network status and quality of a specific space. Conversely, increasing the number of detection locations per unit area can achieve comprehensive detection of a specific space, but it will inevitably greatly increase the detection workload and reduce network installation and maintenance efficiency. Therefore, a more optimized strategy for determining detection locations is needed. While fully covering a specific space, a smaller number of detection locations can be used to capture areas within the space where network conditions have severely deteriorated, thereby effectively improving assessment speed.

[0056] Specifically, in some preferred embodiments, the detection number threshold is greater than or equal to 4 to avoid the situation where the number of detection locations is too small and the network status of the specific space cannot be fully obtained; in addition, a considerable portion of the specific spaces where network installation and maintenance are currently carried out are rooms, classrooms, auditoriums and other places with regular shapes. In order to avoid the detection locations being concentrated in the central area of ​​the specific space, in some preferred embodiments, at least 4 detection locations are less than or equal to 2m away from the edge of the specific space.

[0057] Furthermore, in some preferred embodiments, a direction optimization strategy is proposed, and the direction of movement from the current position to the next position is determined at least once in step S4 using the direction optimization strategy.

[0058] The direction optimization strategy is a strategy that determines the next direction of movement based on the rate of change of the network signal strength of the current position relative to the last detected position. In some specific embodiments, assuming that the current position is the jth detected position (correspondingly, the next position is the j+1th detected position, and the last detected position is the j-1th detected position), the direction optimization strategy can be implemented by the following steps:

[0059] A1, obtain the network signal strength difference ΔI=I between the current location and the last detected location j -I j-1 ;

[0060] A2, obtain the distance ΔL=L between the current position and the last detected position j -L j-1 ;

[0061] A3 calculates the rate of change (RI) of the network signal strength at the current location compared to the network signal strength at the last detected location based on the following formula:

[0062] RI = ΔI / ΔL;

[0063] A4: The first threshold value of the change rate of the preset network signal strength is RI. LThe second threshold of the change rate of network signal strength is RI H , and RI L <RI H ;

[0064] A5, preset an angle threshold α;

[0065] A6, according to RI and RI L , RI H The relationship determines the direction of movement from the current position to the next position Relative to the direction from the last detected position to the current position The deflection angle, specifically, and The angle satisfies the following formula:

[0066]

[0067] Figure 2 FIG. 1 shows a schematic diagram of dividing the area where the further motion direction is located by the angle threshold α in some specific embodiments, such as Figure 2 As shown, the j-1th detection position points to the direction of the current position j (i.e. ) is the positive direction, and the angle threshold α is used to The deviation direction is divided into three areas. The above direction optimization strategy determines whether there is a significant decrease in network signal strength from the last detection position (j-1) to the current position (j) based on the size of RI, and decides in which area to select the direction of further movement based on the judgment result. (For example, randomly determine an angle in the selected area) so that As far as possible, it is easy to know that the network signal strength decays faster in the area where it is located. Those skilled in the art can determine the RI based on parameters such as the shape, area, and characteristics of the optical fiber equipment of the specific space. L , RI H and the specific value of α, for example, in some preferred embodiments, RI L , RI H The values ​​are respectively smaller than and greater than 1. For example, in some preferred embodiments, the angle threshold α may be smaller than or equal to 30°.

[0068] It should be noted that the present application does not limit the number of times the above-mentioned optimization strategy is used in step S4, that is, it can be used in whole or in part in step S4. For example, the central area of ​​a specific space can be used as the starting detection position. After determining several detection positions in sequence by using the above-mentioned optimization strategy, the detection of at least 4 edge positions of the specific space can be added as described above.

[0069] In addition, after determining the area where the next movement direction is located, the above direction optimization strategy can also be used in conjunction with other strategies for determining the movement direction to provide a more reasonable specific direction. Figure 3 In a specific embodiment, the detection interface displayed by the interactive display unit of the PDA device is shown. The PDA device is provided by the following preferred embodiment of the present application, such as Figure 3 As shown, the PDA can detect the real-time position and real-time network signal strength of the PDA during the position change process, and display the changes of the real-time position and real-time network signal strength during the movement in the form of a movement track with variable color. In addition, it can also be as shown in FIG. Figure 3 As shown in the upper middle part, the total distance of movement and the corresponding network signal strength are displayed in real time in a two-dimensional coordinate system.

[0070] Furthermore, the changes in the real-time position and real-time network signal strength can be combined with the above-mentioned direction optimization strategy: after determining the approximate direction of movement through the direction optimization strategy, the changes in the real-time position and real-time network signal strength during the movement can be used to further focus on a more reasonable direction of movement, and Figure 3 It is displayed on the detection interface in the form of an arrow.

[0071] The above is a description of the specific implementation of steps S1 to S4. After completing the detection of each detection position, in step S5, the following steps are performed to evaluate the layout effect of the routers:

[0072] B1, calculate the normalized variance D of the network signal strength at each detection location I ;

[0073] B2, calculate the normalized variance D of the network speed at each detection location S ;

[0074] B3, calculate the normalized variance D of the ratio of network signal strength to network speed at each detection location E ;

[0075] B4, calculate the network stability D of the specific space based on the following formula total :

[0076] D total =λ I D I +λ S D S +λ E D E ,

[0077] Among them, λ I ,λ S and λ E DI 、D S and D E The weight of

[0078] B5, evaluate the router placement effect E based on the following formula:

[0079] E={min(I i ), min(S i ), D total}, i∈1...N.

[0080] Specifically, the above-mentioned arrangement effect comprehensively evaluates the network status and network quality of a specific space based on multiple factors, wherein the first two items represent the minimum values ​​of network signal strength and network speed in each detection position, respectively, and the third item represents the stability of the signal at each detection position in the specific space. In an embodiment of the present application, the indicator used to measure the signal stability includes, in addition to the conventional network signal strength and network speed, the variance of the ratio of the two. The reason for using this indicator is that, although there is a certain correlation between network signal strength and network speed, there are also situations where the two do not match. For example, although the network signal strength is strong, the network speed drops, and the occurrence of the above phenomenon often indicates that there are some areas with abnormal network conditions in a specific space. The use of this indicator can effectively identify them, which will help in subsequent problem analysis and troubleshooting.

[0081] Some embodiments of the present application also provide a PDA, including a housing, a processor, a detection unit, a storage unit, an interactive display unit, and a power supply unit. The detection unit is used to detect network signal strength, network speed, and location; the storage unit stores an executable program, and when the executable program is executed by the processor, it can implement the aforementioned router layout effect evaluation method.

[0082] Some embodiments of the present application further provide a method for optimizing router locations, comprising the following steps:

[0083] Execute the aforementioned router placement effect evaluation method;

[0084] If the arrangement effect does not meet the preset effect evaluation standard, the arrangement position of the router is changed and the aforementioned router arrangement effect evaluation method is executed again.

[0085] Those skilled in the art may formulate effect evaluation criteria based on specific requirements for network status and network quality during network installation and maintenance. For example, in some embodiments, corresponding effect evaluation criteria may be formulated based on each value in the arrangement effect E obtained by the aforementioned evaluation method. For example, when min(I i )、min(S i ) or D totalIf any of the values ​​in E do not meet the preset criteria, the router placement is relocated and the placement effect is re-evaluated. Furthermore, in other embodiments, a comprehensive evaluation criterion that considers each value in E may be established to comprehensively determine whether the router placement effect meets the criteria. The specific implementation of establishing the evaluation criteria and comparing the measurement items therewith is well known to those skilled in the art and will not be elaborated upon here.

[0086] The above is a detailed introduction to the specific implementation methods of the present application. For those skilled in the art, several improvements and modifications can be made to the present application without departing from the principles of the present application. These improvements and modifications also fall within the scope of protection of the claims of the present application.

Claims

1. A method for evaluating the effect of router placement, wherein the router is placed in a specific space and provides a wireless network therefor, characterized in that: The following steps are involved: S1, connecting a PDA to the wireless network, wherein the PDA has network signal strength, network speed and location detection functions; S2, using the PDA to obtain the current location and record it as the detection location; S3, using the PDA to detect and record the network signal strength and network speed at the detection location; S4, if the number of detected positions has reached a preset detection number threshold, proceed to step S5; otherwise, move from the current position to the next position within the specific space and return to step S2; S5, evaluating the placement effect of the routers based on the network signal strength, network speed, and location at each detection location; In step S4, a direction optimization strategy is used at least once to determine the direction of movement from the current position to the next position. The direction optimization strategy is specifically: if , then the angle between the direction of movement from the current position to the next position and the direction from the last detected position toward the current position is less than the preset angle threshold ,in, is the rate of change between the network signal strength at the current location and the network signal strength at the last detected location. is the first threshold value of the rate of change of network signal strength; if , then the angle between the direction from the current position to the next position and the direction from the last detected position toward the current position is and 180°, where is the second threshold value of the rate of change of network signal strength and ; if , then the angle between the direction from the current position to the next position and the direction from the last detected position toward the current position is and between; In step S5, the effect of the router placement is evaluated by the following steps: B1, calculate the normalized variance of the network signal strength at each detection location ; B2, calculate the normalized variance of the network speed at each detection location ; B3, calculate the normalized variance of the ratio of network signal strength to network speed at each detection location ; B4, calculate the network stability of the specific space based on the following formula : ， in, 、 and They are 、 and The weight of B5, evaluate the router placement effect based on the following formula : ， in, is the number of detection locations, 、 Respectively The network signal strength and speed of each detection location.

2. The router layout effect evaluation method according to claim 1, characterized in that: The detection quantity threshold is greater than or equal to 4.

3. The router layout effect evaluation method according to claim 1, wherein: At least four detection positions are located less than or equal to 2 meters from the edge of the specific space.

4. The method for evaluating the effect of router placement according to claim 1, wherein: Less than or equal to 30°.

5. The method for evaluating the effect of router placement according to claim 1, wherein: The PDA is also used to detect the real-time position and real-time network signal strength during the process of moving from the previous detection position to the current position. The direction of movement from the current position to the next position is determined based on the direction optimization strategy and the real-time position and real-time network signal strength.

6. A PDA comprising a housing, a processor, a detection unit, a storage unit, an interactive display unit, and a power supply unit, characterized in that: The detection unit is used to detect network signal strength, network speed and location; the storage unit stores an executable program, and when the executable program is executed by the processor, it can implement the router layout effect evaluation method according to claim 1.

7. A method for optimizing router location, characterized in that: The following steps are involved: Executing the router layout effect evaluation method according to claim 1; If the arrangement effect does not meet the preset effect evaluation standard, the arrangement position of the router is changed and the router arrangement effect evaluation method according to claim 1 is executed again.

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