CN113435538B - A method and device for deploying wireless communication equipment - Google Patents

Abstract

The invention discloses a wireless communication equipment deployment method and device, which belong to the technical field of wireless communication equipment installation. Step 1: acquire the deployment location of the wireless communication equipment, analyze the installation environment of the deployment location; obtain the high-definition image and installation information of the deployment location, and Image preprocessing is performed on the image, and the image after image preprocessing is marked as a grayscale image. With the center of the image as the origin, a three-dimensional coordinate system of image grayscale value is established, and the image grayscale value is input into the coordinate system. Adjacent gray value points are connected using smooth curves to form a gray value surface, set up the wireless signal interference library, and match the obtained installation information with the wireless signal interference library. Detection, and finally a comprehensive evaluation to obtain the installation location of the wireless communication equipment, to solve the problem that the anti-interference of the wireless communication equipment is weak, and the installation location of the wireless communication equipment needs to be deployed reasonably.

Description

Method and device for deploying wireless communication equipment

technical field

The invention belongs to the technical field of wireless communication equipment installation; in particular, it relates to a wireless communication equipment deployment method and device.

Background technique

Wireless communication refers to communication that does not require physical connection lines, that is, a communication method that uses the characteristics that electromagnetic wave signals can propagate in free space for information exchange. The biggest advantage of wireless communication equipment is the environment. It does not need to be restricted by wires. It has certain mobility and can communicate through wireless connections in a mobile state. The construction difficulty is low and the cost is low; however, wireless communication equipment is weak in anti-interference, so when installing During the process, it is necessary to reasonably deploy the installation location of the wireless communication equipment to reduce the impact of interference sources on the wireless communication equipment.

Contents of the invention

The purpose of the present invention is to provide a wireless communication equipment deployment method and device, which solves the problem that the wireless communication equipment is weak in anti-interference and needs to be reasonably deployed at the installation location of the wireless communication equipment.

The purpose of the present invention can be achieved through the following technical solutions:

A method for deploying wireless communication equipment, step 1: obtaining the deployment location of the wireless communication equipment, and analyzing the installation environment of the deployment location;

Obtain the high-definition image and installation information of the deployment site, perform image preprocessing on the image, and mark the image after image preprocessing as a grayscale image, take the center of the image as the origin, establish a three-dimensional coordinate system of image grayscale value, and convert the image grayscale Input the value into the coordinate system, connect the adjacent gray value points of the same image with a smooth curve to form a gray value surface, set up the wireless signal interference library, match the acquired installation information with the wireless signal interference library, and obtain the deployment Interfering item information at the location, mark the gray value surface according to the interfering item information, segment the marked gray value surface, obtain the image and coordinates of the interfering item, and obtain the interference capability of the corresponding interfering item;

Step 2: Analyzing and simulating the interfering items in the deployment site;

Step 3: Go to the deployment site to simulate the signal test of the installation point;

Step 4: Carry out comprehensive evaluation on the simulated installation point, and select the final wireless communication equipment installation point according to the comprehensive evaluation.

Further, the method for analyzing and simulating the interfering items in the deployment site in step 2 includes: obtaining the drawings of the deployment site and the model of the wireless communication equipment, and combining the image of the interfering item, the model of the wireless communication equipment, the drawing of the deployment site, the coordinates of the interfering item, and the model of the interfering item Integrate and mark the interference capability as input data; obtain the prediction model; input the input data into the prediction model to obtain N simulated installation points, and mark the N simulated installation points on the deployment site drawing.

Further, in step 3, the signal test method of the simulated installation point at the deployment site includes: setting up a detection device at the simulated installation point, obtaining the signal strength of other positions in the deployment site except for the detection device, and matching the corresponding simulated signal strength according to the signal strength of other positions. Mount points for signal scoring.

Further, the method for comprehensively evaluating the simulated installation point in step 4 includes: marking the simulated installation point as i, i=1, 2, ..., N; obtaining the installation difficulty score of the simulated installation point, and dividing the simulated installation point Mark the installation difficulty score as Pi, obtain the signal score of the simulated installation point, mark the signal score of the simulated installation point as Li, obtain the impact score of the simulated installation point on the surrounding area, and mark the impact score of the simulated installation point on the surrounding area as Ki; The simulated installation point, the installation difficulty score of the simulated installation point, the signal score of the simulated installation point, and the impact score of the simulated installation point on the surrounding area are calculated by removing the dimension and taking its numerical value; according to the formula Qi=λ*[(b1*Pi+b2* Li+b3*Ki)/(b1+b2+b3)] to obtain the comprehensive score Qi, where b1, b2, b3, and b4 are proportional coefficients, and the value range is 0<b1<1, 1<b2≤2 , 1<b3≤2, λ is the correction factor, and the value range is 0<λ≤1.

A device for deploying wireless communication equipment, including an acquisition module, a simulation module, a test module and a scoring module;

The collection module is used to collect the deployment site information of the wireless communication equipment, and analyze the installation environment of the deployment site;

The user of the simulation module analyzes and simulates the interfering items in the deployment site;

The test module is used for signal testing of the simulated installation point; the scoring module is used for comprehensive evaluation of the simulated installation point, and the final wireless communication equipment installation point is selected according to the comprehensive evaluation.

Beneficial effects of the present invention:

By obtaining the high-definition image and installation information of the deployment site, image preprocessing is performed on the image, and the image after image preprocessing is marked as a grayscale image. With the center of the image as the origin, a three-dimensional coordinate system of image grayscale value is established, and the image is grayscaled. Input the intensity value into the coordinate system, connect the adjacent gray value points of the same image with a smooth curve to form a gray value surface, set up the wireless signal interference library, match the acquired installation information with the wireless signal interference library, and obtain Interfering item information at the deployment site, mark the gray value surface according to the interfering item information, segment the marked gray value surface, obtain the image and coordinates of the interfering item, and provide the location information of the interference source for the subsequent installation of wireless communication equipment; The present invention obtains the simulated installation point first, then detects the simulated installation point, and finally conducts a comprehensive evaluation to obtain the installation position of the wireless communication device, so as to solve the problem of weak anti-interference of the wireless communication device and the need for reasonable deployment of the installation position of the wireless communication device The problem.

Description of drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings that need to be used in the description of the embodiments or the prior art. Obviously, the accompanying drawings in the following description are only These are some embodiments of the present invention. Those skilled in the art can also obtain other drawings based on these drawings without creative work.

Fig. 1 is a flow chart of the method of the present invention.

Detailed ways

The technical solutions of the present invention will be clearly and completely described below in conjunction with the embodiments. Apparently, the described embodiments are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

As shown in Figure 1, a wireless communication device deployment method, the specific method includes:

Step 1: Obtain the deployment location of the wireless communication equipment, and analyze the installation environment of the deployment location;

Obtain high-definition images and installation information of the deployment site. The installation information is what type of building the installation site is, whether it is a factory building, residential building or other types of buildings, and what types of items are in the installation site. The image after preprocessing is marked as a grayscale image. Image preprocessing includes image segmentation, image denoising, image enhancement and grayscale transformation. With the center of the image as the origin, a three-dimensional coordinate system of image grayscale value is established, and the image grayscale value is input In the coordinate system, connect adjacent gray value points of the same image with a smooth curve to form a gray value surface, and set up a wireless signal interference library, which is used to store information about items that can interfere with wireless signals. Match the obtained installation information with the wireless signal interference library to obtain the information of the interfering items at the deployment site. The information of the interfering items includes the size and color of the items. Mark the gray value surface according to the information of the interfering items, and the marked gray value surface Carry out segmentation, obtain the image and coordinates of the interfering item, and obtain the interference capability of the corresponding interfering item;

Step 2: Analyzing and simulating the interfering items in the deployment site;

Obtain the deployment site drawings and wireless communication equipment models, integrate and mark the interference item images, wireless communication equipment models, deployment site drawings, interference item coordinates, and interference capabilities of the interference items as input data; obtain the prediction model; input the input data into the forecast The model obtains N simulated installation points, which are the installation coordinates of wireless communication equipment, and marks N simulated installation points on the deployment site drawings, where N is a preset coefficient, 5≥N≥1;

The acquisition of the prediction model specifically includes the following steps: Obtain the historical installation data of wireless communication equipment; the historical installation data of wireless communication equipment includes images of interfering items, models of wireless communication equipment, drawings of deployment locations, coordinates of interfering items, and interference capabilities of interfering items. The historical installation data of the equipment is set to correspond to the simulated installation point; the artificial intelligence model is constructed; the artificial intelligence model includes the error backpropagation neural network, the RBF neural network and the deep convolutional neural network; the historical installation data of the wireless communication equipment and the corresponding simulated installation point according to The set ratio is divided into training set, test set and verification set; the set ratio includes 2:1:1, 3:2:1 and 3:2:2; through training set, test set and verification set, artificial intelligence The model is trained, tested and verified; the trained artificial intelligence model is marked as a predictive model;

Step 3: Go to the deployment site to simulate the signal test of the installation point;

Set up a detection device at the simulated installation point, the detection device is the same as the signal sent by the wireless communication equipment to be installed, or directly use the wireless communication equipment to be installed as the detection device for testing, and obtain the signal strength of the deployment site other than the location where the detection device is installed, according to The signal strength of other positions is used to score the signal of the corresponding simulation installation point;

Step 4: Carry out comprehensive evaluation on the simulated installation point, and select the final wireless communication equipment installation point according to the comprehensive evaluation;

Mark the simulated installation point as i, i=1, 2, ..., N; obtain the installation difficulty score of the simulated installation point, the installation difficulty score is evaluated by the wireless communication equipment installation engineer, the higher the difficulty, the lower the score, and the simulated installation The installation difficulty score of the point is marked as Pi, the signal score of the simulated installation point is obtained, and the signal score of the simulated installation point is marked as Li, and the impact score of the simulated installation point on the surrounding area is obtained. The impact of the simulated installation point on the surrounding area is the installation of wireless communication at this location The impact of equipment on the surrounding area, such as installation on the aisle, when it affects traffic, the impact on the surrounding area is large, and the score is low. The impact score of the simulated installation point on the surrounding area is marked as Ki; the installation point of the simulated installation point and the simulated installation point The difficulty score, the signal score of the simulated installation point and the impact score of the simulated installation point on the surrounding area are calculated by removing the dimension and taking its numerical value; according to the formula Qi=λ*[(b1*Pi+b2*Li+b3*Ki)/(b1 +b2+b3)] to obtain the comprehensive score Qi, where b1, b2, b3, and b4 are proportional coefficients, and the value range is 0<b1<1, 1<b2≤2, 1<b3≤2, and λ is Correction factor, the value range is 0<λ≤1.

A device for deploying wireless communication equipment, including an acquisition module, a simulation module, a test module and a scoring module;

The collection module is used to collect the deployment site information of the wireless communication equipment, and analyze the installation environment of the deployment site;

Obtain the high-definition image and installation information of the deployment site, perform image preprocessing on the image, and mark the image after image preprocessing as a grayscale image. Image preprocessing includes image segmentation, image denoising, image enhancement, and grayscale transformation. The center of the image is the origin, establish a three-dimensional coordinate system of gray value of the image, input the gray value of the image into the coordinate system, connect the adjacent gray value points of the same image with a smooth curve to form a gray value surface, and set the wireless signal Interference library, match the obtained installation information with the wireless signal interference library, obtain the interference item information at the deployment location, mark the gray value surface according to the interference item information, segment the marked gray value surface, and obtain the interference item Image and coordinates to obtain the interference ability of the corresponding interference item.

The user of the simulation module analyzes and simulates the interference items in the deployment site;

Obtain the deployment site drawings and wireless communication equipment models, integrate and mark the interference item images, wireless communication equipment models, deployment site drawings, interference item coordinates, and interference capabilities of the interference items as input data; obtain the prediction model; input the input data into the forecast The model obtains N simulated installation points, and marks N simulated installation points on the deployment site drawing;

The acquisition of the prediction model specifically includes the following steps: Obtain the historical installation data of wireless communication equipment; the historical installation data of wireless communication equipment includes images of interfering items, models of wireless communication equipment, drawings of deployment locations, coordinates of interfering items, and interference capabilities of interfering items. The historical installation data of the equipment is set to correspond to the simulated installation point; the artificial intelligence model is constructed; the artificial intelligence model includes the error backpropagation neural network, the RBF neural network and the deep convolutional neural network; the historical installation data of the wireless communication equipment and the corresponding simulated installation point according to The set ratio is divided into training set, test set and verification set; the set ratio includes 2:1:1, 3:2:1 and 3:2:2; through training set, test set and verification set, artificial intelligence The model is trained, tested and verified; the trained artificial intelligence model is marked as a predictive model;

The test module is used to test the signal of the simulated installation point; set up a detection device at the simulated installation point, obtain the signal strength of other positions in the deployment site except for the detection device, and perform signal scoring on the corresponding simulated installation point according to the signal strength of other positions;

The scoring module is used to comprehensively evaluate the simulated installation points, and select the final wireless communication equipment installation points according to the comprehensive evaluation;

Mark the simulated installation point as i, i=1, 2, ..., N; obtain the installation difficulty score of the simulated installation point, the installation difficulty score is evaluated by the wireless communication equipment installation engineer, the higher the difficulty, the lower the score, and the simulated installation The installation difficulty score of the point is marked as Pi, the signal score of the simulated installation point is obtained, and the signal score of the simulated installation point is marked as Li, and the impact score of the simulated installation point on the surrounding area is obtained. The impact of the simulated installation point on the surrounding area is the installation of wireless communication at this location The impact of equipment on the surrounding area, such as installation on the aisle, when it affects traffic, the impact on the surrounding area is large, and the score is low. The impact score of the simulated installation point on the surrounding area is marked as Ki; the installation point of the simulated installation point and the simulated installation point The difficulty score, the signal score of the simulated installation point and the impact score of the simulated installation point on the surrounding area are calculated by removing the dimension and taking its numerical value; according to the formula Qi=λ*[(b1*Pi+b2*Li+b3*Ki)/(b1 +b2+b3)] to obtain the comprehensive score Qi, where b1, b2, b3, and b4 are proportional coefficients, and the value range is 0<b1<1, 1<b2≤2, 1<b3≤2, and λ is Correction factor, the value range is 0<λ≤1.

The above formulas are calculated by removing the dimension and taking its numerical value. The formula is a formula that is closest to the real situation obtained by collecting a large amount of data and performing software simulation. The preset parameters in the formula are set by those skilled in the art according to the actual situation.

When the present invention is in use, the deployment location of the wireless communication device is obtained, the installation environment of the deployment location is analyzed; the high-definition image and installation information of the deployment location are obtained, the image is preprocessed, and the preprocessed image is marked as a grayscale image , image preprocessing includes image segmentation, image denoising, image enhancement and grayscale transformation. Taking the center of the image as the origin, establish a three-dimensional coordinate system of image grayscale values, input the image grayscale values into the coordinate system, and combine the relative values of the same image The adjacent gray value points are connected by smooth curves to form a gray value surface, set up the wireless signal interference library, match the obtained installation information with the wireless signal interference library, obtain the interference item information at the deployment location, and then analyze the gray value according to the interference item information. Mark the gray value surface, segment the marked gray value surface, obtain the image and coordinates of the interference item, and obtain the interference capability of the corresponding interference item; analyze and simulate the interference item in the deployment site; obtain the deployment site drawing and wireless communication Equipment model, integrate and mark the interference item image, wireless communication equipment model, deployment site drawing, interference item coordinates and interference ability as input data; obtain the prediction model; input the input data into the prediction model to obtain N simulated installation points , the simulated installation points are the installation coordinates of the wireless communication equipment, and the N simulated installation points are marked on the deployment site drawings;

Obtain historical installation data of wireless communication equipment; historical installation data of wireless communication equipment includes images of interfering items, models of wireless communication equipment, drawings of deployment locations, coordinates of interfering items and interference capabilities of interfering items, and set corresponding simulated installations for historical installation data of wireless communication equipment point; build an artificial intelligence model; divide the historical installation data of wireless communication equipment and the corresponding simulated installation points into a training set, a test set, and a verification set according to a set ratio; Carry out training, testing and verification; mark the trained artificial intelligence model as a prediction model; go to the deployment site to conduct signal testing at the simulated installation point; set up detection devices at the simulated installation point, and obtain the data of other locations in the deployment site except for the detection device Signal strength, according to the signal strength of other locations, the corresponding simulation installation point is scored for signal;

Carry out comprehensive evaluation on the simulated installation point, select the final wireless communication equipment installation point according to the comprehensive evaluation, mark the simulated installation point as i, obtain the installation difficulty score of the simulated installation point, mark the installation difficulty score of the simulated installation point as Pi, and obtain the simulated installation difficulty score For the signal score of the installation point, mark the signal score of the simulated installation point as Li, obtain the impact score of the simulated installation point on the surrounding area, and mark the impact score of the simulated installation point on the surrounding area as Ki; The difficulty score, the signal score of the simulated installation point and the impact score of the simulated installation point on the surrounding area are calculated by removing the dimension and taking its numerical value; according to the formula Qi=λ*[(b1*Pi+b2*Li+b3*Ki)/(b1 +b2+b3)] to obtain the comprehensive score Qi, where b1, b2, b3, and b4 are proportional coefficients, and the value range is 0<b1<1, 1<b2≤2, 1<b3≤2, and λ is Correction factor, the value range is 0<λ≤1.

In the description of this specification, descriptions with reference to the terms "one embodiment", "example", "specific example" and the like mean that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment of the present invention. In an embodiment or example. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.

In addition, the terms "first" and "second" are used for descriptive purposes only, and cannot be interpreted as indicating or implying relative importance or implicitly specifying the quantity of indicated technical features. Thus, a feature defined as "first" and "second" may explicitly or implicitly include one or more of these features. In the description of the present invention, "plurality" means two or more, unless otherwise specifically defined.

The above content is only an example and description of the structure of the present invention. Those skilled in the art make various modifications or supplements to the described specific embodiments or replace them in similar ways, as long as they do not deviate from the structure of the invention. Or beyond the scope defined in the claims, all should belong to the protection scope of the present invention.

Claims (2)

1. A method for deploying a wireless communication device, comprising the steps of: acquiring a deployment site of the wireless communication equipment, and analyzing the installation environment of the deployment site;

acquiring a high-definition image and installation information of a deployment site, preprocessing the image, marking the image after image preprocessing as a gray image, establishing an image gray value three-dimensional coordinate system by taking the center of the image as an original point, inputting the gray value of the image into the coordinate system, connecting adjacent gray value points of the same image by using a smooth curve to form a gray value curved surface, setting a wireless signal interference library, matching the acquired installation information with the wireless signal interference library to obtain interference article information of the deployment site, marking the gray value curved surface according to the interference article information, segmenting the marked gray value curved surface, acquiring an interference article image and coordinates, and acquiring the interference capacity of a corresponding interference article;

step two: analyzing and simulating the interfering objects in the deployment site;

step three: carrying out signal test of a simulation installation point at a deployment site;

step four: comprehensively evaluating the simulated installation point, and selecting a final wireless communication equipment installation point according to the comprehensive evaluation;

the method for analyzing and simulating the interfering objects in the deployment site in the second step comprises the following steps: acquiring a deployment location drawing and a wireless communication equipment model, and integrating and marking an interference article image, the wireless communication equipment model, the deployment location drawing, an interference article coordinate and the interference capability of an interference article as input data; obtaining a prediction model; inputting input data into a prediction model to obtain N simulated installation points, and marking the N simulated installation points on a deployment site drawing;

the signal testing method for simulating the installation point from the deployment site in the third step comprises the following steps: arranging a detection device at the simulated installation point, acquiring the signal intensity of other positions of the deployment site except for the position where the detection device is arranged, and scoring the signal of the corresponding simulated installation point according to the signal intensity of the other positions;

the method for comprehensively evaluating the simulated installation point in the fourth step comprises the following steps: the simulation installation points are marked as i, i =1, 2, \8230;, N; acquiring an installation difficulty score of a simulated installation point, marking the installation difficulty score of the simulated installation point as Pi, acquiring a signal score of the simulated installation point, marking the signal score of the simulated installation point as Li, acquiring an influence score of the simulated installation point on the periphery, and marking the influence score of the simulated installation point on the periphery as Ki; removing dimensions and taking numerical calculation of the simulated mounting points, the simulated mounting point mounting difficulty score, the simulated mounting point signal score and the simulated mounting point influence score on the periphery; obtaining a comprehensive score Qi according to a formula Qi = lambda [ (b 1 Pi + b2 Li + b3 Ki)/(b 1+ b2+ b 3) ], wherein b1, b2 and b3 are proportional coefficients, the value range is 0-b 1, 1-b 2 is less than or equal to 2, 1-b 3 is less than or equal to 2, lambda is a correction factor, and the value range is 0< lambda is less than or equal to 1.

2. A wireless communication equipment deployment device is characterized by comprising an acquisition module, a simulation module, a test module and a grading module;

the acquisition module is used for acquiring the deployment site information of the wireless communication equipment and analyzing the installation environment of the deployment site;

the simulation module is used for analyzing and simulating the interference articles in the deployment site;

the test module is used for carrying out signal test on the simulation installation point; and the grading module is used for carrying out comprehensive evaluation on the simulated installation points and selecting the final installation point of the wireless communication equipment according to the comprehensive evaluation.

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