Equipment space positioning method and system

文档序号:73600 发布日期:2021-10-01 浏览:21次 中文

阅读说明:本技术 一种设备空间定位方法及系统 (Equipment space positioning method and system ) 是由 王斌 王英超 赵丰 张超 于 2021-08-23 设计创作,主要内容包括:本发明公开了一种设备空间定位系统,包括智能设备、设置在各个房间的无线接入点、无线路由和内主机,智能设备与无线接入点无线连接且通过无线接入点接入无线路由器,内主机与无线路由通信连接并用于接受无线路由传输来的信号强度数据,智能设备、无线接入点和无线路由组成无线局域网络,智能设备发送探测包,无线接入点接收探测包并将探测包通过无线路由发送至内主机,内主机内内置有算法模块,算法模块通过对探测包的射频信号强度进行逻辑处理并确定智能设备位置。还公开了基于此系统的定位方法,能对空间内的设备进行快速定位。(The invention discloses an equipment space positioning system which comprises intelligent equipment, wireless access points arranged in each room, a wireless router and an internal host, wherein the intelligent equipment is wirelessly connected with the wireless access points and is accessed into the wireless router through the wireless access points, the internal host is in communication connection with the wireless router and is used for receiving signal intensity data transmitted by the wireless router, the intelligent equipment, the wireless access points and the wireless router form a wireless local area network, the intelligent equipment sends a detection packet, the wireless access points receive the detection packet and send the detection packet to the internal host through the wireless router, an algorithm module is arranged in the internal host, and the algorithm module logically processes the radio frequency signal intensity of the detection packet and determines the position of the intelligent equipment. The positioning method based on the system is also disclosed, and can be used for quickly positioning the equipment in the space.)

1. An equipment space positioning system, comprising: including smart machine, set up wireless access point, wireless route and interior host computer in each room, smart machine and wireless access point wireless connection just pass through wireless access point and insert wireless router, interior host computer and wireless route communication connection are used for accepting the signal strength data that wireless route transmission comes, smart machine, wireless access point and wireless route constitute wireless local area network, smart machine sends and surveys the package, wireless access point receives and surveys the package and will survey the package and send to interior host computer through wireless route, the built-in algorithm module that has in the interior host computer, algorithm module carries out logic processing and confirms smart machine position through the radio frequency signal intensity to surveying the package.

2. The device space positioning system of claim 1, wherein: the algorithm module firstly compares the received radio frequency signal strength with the built-in radio frequency signal strengthComparing the threshold values, wherein when the intensity of the radio-frequency signal is greater than or equal to the threshold value, the position of the wireless access point with the maximum intensity of the received radio-frequency signal is the position of the intelligent equipment; when the signal intensity of the radio frequency signals is smaller than the threshold value, calculating the average value of the multiple radio frequency signals of each wireless access pointCompare the respective meansThe size of (1), wherein the mean valueThe position of the largest wireless access point is the positioning basis of the intelligent device.

3. The device space positioning system of claim 1, wherein: the intelligent equipment and the wireless access point, the wireless router and the internal host machine all adopt 2.4G wireless communication.

4. A method for spatial location of a device, based on the location system of any one of claims 1-3, characterized by: the method comprises the following steps:

step 1, the intelligent equipment sends a detection packet, and the data packet is a radio frequency signal;

step 2, the wireless access point receives the detection packet and sends the detection packet to the internal host through a wireless route;

and 3, logically processing the radio frequency signal intensity of the detection packet and determining the position of the intelligent device by the internal host through a built-in algorithm module.

5. The device space positioning method according to claim 4, wherein: the step 3 comprises the following steps:

step 3.1, the internal host machine compares the intensity of the received radio frequency signal with a built-in threshold value, and executes step 3.2 when the intensity of the radio frequency signal is greater than or equal to the threshold value, otherwise executes step 3.3;

step 3.2, the position of the wireless access point with the maximum received radio frequency signal intensity is the position of the intelligent equipment;

step 3.3, calculating the average value of the multiple radio frequency signals of each wireless access pointCompare the respective meansThe size of (1), wherein the mean valueThe position of the largest wireless access point is the positioning basis of the intelligent device.

6. The device space positioning method according to claim 4, wherein: the intelligent equipment and the wireless access point, the wireless router and the internal host machine all adopt 2.4G wireless communication.

Technical Field

The invention relates to a device space positioning method and a system, which are particularly applied to indoor space positioning of intelligent devices.

Background

The indoor positioning technology is early in development, rapid in development and remarkable in achievement. Indoor positioning technology is relatively late to start, and the field has much blank, but the attention of people to indoor positioning technology is never interrupted. The united states federal communications commission fcc (federal communications commission) established the E-911 positioning standard in 1996, and then indoor positioning technology was rapidly released as motivated by the application requirements of various industries. At present, researchers at home and abroad propose indoor positioning technologies and application systems such as Bluetooth, infrared rays, RFID, WLAN, ultra-wideband, ultrasonic waves and the like, but different indoor positioning technologies have certain application limitations according to positioning performance, and no general adaptive technology can meet the requirements of all indoor positioning services at present.

In recent years, aiming at indoor position service with more and more urgent demands, the indoor positioning technology is developed rapidly, is a research hotspot in the mobile internet era, gradually plays a role in various industries, and brings certain influence on the daily life of people. With the application and development of the related technology based on the user location information, Location Based Services (LBS) have become a basic service requirement necessary for people to work and live in daily life, and especially in large and complex indoor environments, such as museums, airports, supermarkets, hospitals, underground mines and other areas, people have urgent needs for location services. Under the promotion of rapid development of mobile internet and application demand of location services, the current indoor positioning technology is in a relatively rapid development stage, and researchers put forward a plurality of theories and methods of the indoor positioning technology.

However, in an indoor environment which accounts for 80% of the daily life time of human beings, due to the influence of shielding and multipath effects of buildings, the GNSS positioning accuracy is sharply reduced, and the indoor position service requirement cannot be met, but the urgent need of indoor positioning in some specific occasions is becoming more and more significant. Indoor positioning has the following difficulties: 1) the complexity of indoor positioning environment, the complexity and changeability of indoor space layout, a plurality of obstacles, a plurality of interference sources and other factors have great influence on the accuracy and stability of indoor positioning; 2) energy consumption and cost factors, and the factors such as higher construction cost, poorer stability and higher energy consumption of the indoor positioning environment limit the application of the indoor positioning technology.

Disclosure of Invention

In order to overcome the above disadvantages, the present invention provides a system for locating a device space, which can locate a device in a space quickly.

In order to achieve the above purposes, the invention adopts the technical scheme that: an equipment space positioning system, comprising: including smart machine, set up wireless access point, wireless route and interior host computer in each room, smart machine and wireless access point wireless connection just pass through wireless access point and insert wireless router, interior host computer and wireless route communication connection are used for accepting the signal strength data that wireless route transmission comes, smart machine, wireless access point and wireless route constitute wireless local area network, smart machine sends and surveys the package, wireless access point receives and surveys the package and will survey the package and send to interior host computer through wireless route, the built-in algorithm module that has in the interior host computer, algorithm module carries out logic processing and confirms smart machine position through the radio frequency signal intensity to surveying the package.

Further, the algorithm module compares the received radio frequency signal strength with a built-in threshold value, and when the radio frequency signal strength is greater than or equal to the threshold value, the position of the wireless access point with the maximum received radio frequency signal strength is the position of the intelligent device; when the signal intensity of the radio frequency signals is smaller than the threshold value, calculating the average value of the multiple radio frequency signals of each wireless access pointCompare the respective meansThe size of (1), wherein the mean valueThe position of the largest wireless access point is the positioning basis of the intelligent device.

Further, the intelligent device and the wireless access point, the wireless router and the internal host adopt 2.4G wireless communication.

The invention has the beneficial effects that: the wireless access points are laid in each indoor room, the intelligent equipment is connected to the wireless local area network through the wireless access points, when the intelligent equipment needs to be positioned, the intelligent equipment directly sends detection packets, the internal host receives the detection packets through the wireless router and the wireless access points, and then the internal host determines the position of the intelligent equipment through logic processing of the radio frequency signal intensity of the detection packets. The arrangement of the wireless access points can meet the complex indoor positioning environment, the precision and the stability are high, and the construction cost is greatly saved.

The invention also provides a device space positioning method which can be used for quickly positioning the devices in the space.

In order to achieve the above purposes, the invention adopts the technical scheme that: a device space positioning method comprises the following steps:

step 1, the intelligent equipment sends a detection packet, and the data packet is a radio frequency signal;

step 2, the wireless access point receives the detection packet and sends the detection packet to the internal host through a wireless route;

and 3, logically processing the radio frequency signal intensity of the detection packet and determining the position of the intelligent device by the internal host through a built-in algorithm module.

Further, the step 3 includes the steps of:

step 3.1, the internal host machine compares the intensity of the received radio frequency signal with a built-in threshold value, and executes step 3.2 when the intensity of the radio frequency signal is greater than or equal to the threshold value, otherwise executes step 3.3;

step 3.2, the position of the wireless access point with the maximum received radio frequency signal intensity is the position of the intelligent equipment;

step 3.3, calculating the average value of the multiple radio frequency signals of each wireless access pointCompare the respective meansSize of (2)Wherein the mean valueThe position of the largest wireless access point is the positioning basis of the intelligent device.

Further, the intelligent device and the wireless access point, the wireless router and the internal host adopt 2.4G wireless communication.

The invention has the beneficial effects that: when the intelligent equipment is required to be positioned, the intelligent equipment directly sends a detection packet, the internal host machine receives the detection packet through the wireless router and the wireless access point, and the internal host machine determines the position of the intelligent equipment by logically processing the radio frequency signal intensity of the detection packet. The internal host machine compares the received radio frequency signal strength with a built-in threshold value, and carries out quick intelligent judgment according to the comparison result, so that the positioning efficiency is improved. The arrangement of the wireless access points can meet the complex indoor positioning environment, the precision and the stability are high, and the construction cost is greatly saved.

Drawings

FIG. 1 is a schematic view of a positioning system of the present invention;

FIG. 2 is a flow chart of a positioning method of the present invention;

fig. 3 is a system distribution diagram of embodiment 1 of the present invention.

In the figure:

1. the intelligent device 2 and the wireless access point; 3. wireless routing; 4. and (4) an internal host.

Detailed Description

The following detailed description of the preferred embodiments of the present invention, taken in conjunction with the accompanying drawings, will make the advantages and features of the invention easier to understand by those skilled in the art, and thus will clearly and clearly define the scope of the invention.

Referring to fig. 1, the device space positioning system of the present invention includes an intelligent device 1, wireless access points 2, a wireless router 3 and an internal host 4, wherein the wireless access points 2 are distributed in each room of a space. The wireless access points 2 and the intelligent devices 1 in the rooms are correspondingly arranged, and the intelligent devices 1 are accessed to the wireless router 3 through the correspondingly arranged wireless access points 2. The internal host 4 is in communication connection with the wireless router 3 and is used for receiving the signal strength data transmitted by the wireless router 3, and the intelligent device 1, the wireless access point 2 and the wireless router 3 form a wireless local area network. The intelligent device 1 sends a detection packet, each wireless access point 2 can receive the detection packet and sends the detection packet to the inner host 4 through the wireless router 3, an algorithm module is arranged in the inner host 4, and the algorithm module carries out logic processing on the radio frequency signal intensity of the detection packet and determines the position of the intelligent device 1.

The algorithm module compares the received radio frequency signal strength with a built-in threshold value, and when the radio frequency signal strength is greater than or equal to the threshold value, the position of the wireless access point 2 with the maximum received radio frequency signal strength is the position of the intelligent device 1. When the radio frequency signal strength is smaller than the threshold value, calculating an average value of multiple radio frequency signals of each wireless access point 2, and comparing the sizes of the average values, wherein the position of the wireless access point 2 with the largest average value is a positioning basis of the intelligent device 1.

The intelligent device 1 and the wireless access point 2, the wireless router 3 and the internal host 4 all adopt 2.4G wireless communication.

Wireless access points 2 are laid in each indoor room, the intelligent equipment 1 is connected to a wireless local area network through the wireless access points 2, when the intelligent equipment 1 needs to be positioned, the intelligent equipment 1 directly sends a detection packet, the internal host machine 4 receives the detection packet through the wireless router 3 and the wireless access points 2, and the internal host machine 4 determines the position of the intelligent equipment 1 through carrying out logic processing on the radio frequency signal intensity of the detection packet. The arrangement of the wireless access points 2 can meet the complex indoor positioning environment, the precision and the stability are high, and the construction cost is greatly saved.

Referring to fig. 2, the present invention further provides a device space positioning method, which can quickly position a device in a space. The method comprises the following steps:

step 1, the intelligent device 1 sends a detection packet, and the data packet is a radio frequency signal.

And step 2, the wireless access point 2 receives the detection packet and sends the detection packet to the internal host 4 through the wireless route 3.

And 3, the internal host 4 logically processes the radio frequency signal intensity of the detection packet through a built-in algorithm module and determines the position of the intelligent device 1. Step 3 comprises the following steps

And 3.1, comparing the received radio frequency signal intensity with a built-in threshold value by the inner host machine 4, executing the step 3.2 when the radio frequency signal intensity is greater than or equal to the threshold value, otherwise executing the step 3.3.

And 3.2, the position of the wireless access point 2 with the maximum received radio frequency signal intensity is the position of the intelligent equipment 1.

And 3.3, calculating the mean value of the multiple radio frequency signals of each wireless access point 2, and comparing the magnitude of each mean value, wherein the position of the wireless access point 2 with the largest mean value is the positioning basis of the intelligent device 1.

The intelligent device 1 and the wireless access point 2, the wireless router 3 and the internal host 4 all adopt 2.4G wireless communication.

Example 1

Referring to fig. 3, inside a home, there are a plurality of rooms each equipped with a wireless access point 2 (except for kitchen and toilet, and the following two scenarios are now used for spatial location analysis of the smart device 1.

Scenario 1

Assuming that the intelligent device 1 is an intelligent air conditioner, the intelligent air conditioner is in a room 1-4 provided with the wireless access point 2, and at the moment, in order to perform space positioning on the intelligent air conditioner, the intelligent air conditioner sends a detection packet on a common channel of a 2.4G frequency band network, and the strength E of radio frequency signals received by the wireless access point 2 in different rooms is different inevitably. Since the intelligent air conditioner is located in the room with the wireless access point 2, the signal strength E received by a certain wireless access point 2 is inevitably greater than others, and therefore, at this time, the spatial positioning determination only needs to be performed according to step 3.2, that is, the values of E1 to E4(En is the strength value of the signal received by the AP) are compared, and the air conditioner is determined to be located in the room 1 if the value of E1 is the maximum.

Scenario 2

Assuming that the intelligent air conditioner is not located in a room with an AP, that is, in a kitchen or a toilet, in order to perform spatial positioning on the intelligent air conditioner, the intelligent air conditioner transmits a detection packet on a common channel of a 2.4G frequency band network, and the strength E of the radio frequency signal received by the wireless access point 2 located in different rooms is different. Because the intelligent air conditioner is not in the room with the wireless access point 2, the signal strength received by the wireless access point 2 is weakened due to the obstruction of the wall, and the signal strength E received by the wireless access point 2 in the room is possibly smaller, so that the spatial positioning judgment is carried out only according to the step 3.3, namely, the average value of the signal strength is obtained through multiple sampling, and then the numerical value (the average value of the multiple signal strengths) is compared, and the assumed value is the largest.

The above embodiments are merely illustrative of the technical concept and features of the present invention, and the present invention is not limited thereto, and any equivalent changes or modifications made according to the spirit of the present invention should be included in the scope of the present invention.

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