CN114979957A - System and method for generating position information by wireless networking Internet of things equipment - Google Patents
System and method for generating position information by wireless networking Internet of things equipment Download PDFInfo
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- 238000000034 method Methods 0.000 title claims abstract description 23
- 230000008569 process Effects 0.000 claims abstract description 8
- 238000013461 design Methods 0.000 claims description 4
- 238000013507 mapping Methods 0.000 claims description 3
- 238000012935 Averaging Methods 0.000 claims description 2
- 238000011065 in-situ storage Methods 0.000 claims 1
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/02—Services making use of location information
- H04W4/029—Location-based management or tracking services
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W84/00—Network topologies
- H04W84/18—Self-organising networks, e.g. ad-hoc networks or sensor networks
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
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Abstract
The invention discloses a wireless networking system and method for generating position information by Internet of things equipment, which comprises wireless Internet of things equipment and a cloud platform which are connected in a networking mode, wherein each piece of wireless Internet of things equipment acquires wireless signal intensity data of other wireless Internet of things equipment within a certain range, the wireless Internet of things equipment calculates the distance between the wireless Internet of things equipment and adjacent wireless Internet of things equipment according to the acquired wireless signal intensity data and sends the distance data to the cloud platform, the cloud platform calculates the position information between each piece of Internet of things equipment according to the acquired distance data and fits the position information to a map to obtain the actual position information of the wireless Internet of things equipment, the system utilizes the characteristic that the wireless Internet of things equipment can acquire the distance information of other peripheral equipment, and calculates the distance information between all the equipment to obtain the position information of each piece of equipment, the manual operation required in the process of obtaining the position information of the equipment is greatly reduced, and the layout cost is reduced.
Description
Technical Field
The invention relates to the technical field of Internet of things, in particular to a system and a method for generating position information by Internet of things equipment in wireless networking.
Background
At present, the internet of things equipment for wireless networking needs each piece of equipment to have position information according to the functions of positioning and the like. However, due to technical limitations, the position information of the device is realized by manually marking on a map. The manual operation has the advantages of large workload, low efficiency and high labor cost. At the same time, the operator is required to be skilled in operating the marking tool, which causes difficulty in popularization.
Disclosure of Invention
The invention aims to overcome the defects in the prior art and provides a system and a method for generating position information by using wireless networking equipment of the internet of things, so as to solve the problems in the technical background.
The purpose of the invention is realized by the following technical scheme:
the utility model provides a system for thing networking equipment of wireless network deployment generates positional information, the system includes wireless thing networking equipment and the cloud platform that connects with the network deployment mode, its characterized in that all is provided with wireless module on each wireless thing networking equipment, wireless module is used for gathering the wireless signal intensity data of other wireless thing networking equipment in the certain limit, wireless thing networking equipment according to the wireless signal intensity data that obtains calculate with adjacent wireless thing networking equipment between the distance and with distance data send to the cloud platform, the cloud platform calculates the positional information who obtains between each thing networking equipment according to the distance data that obtains and with positional information fitting to the map.
A location information generating method of an internet of things device location information generating system based on wireless networking according to claim 1, comprising the steps of:
s1, identifying all wireless Internet of things equipment, and adding the identified Internet of things equipment to the cloud platform;
s2, each wireless Internet of things device collects the wireless signal intensity of all wireless Internet of things devices in a certain range around, calculates the distance between each wireless Internet of things device and the adjacent wireless Internet of things device according to the wireless signal intensity and sends the obtained distance data to the cloud platform;
s3, the cloud platform collects and summarizes the obtained data, and distance relations among all wireless Internet of things devices are obtained through calculation according to the distance relations among all the wireless Internet of things devices;
s4, the cloud platform calculates a position relation graph of the wireless Internet of things equipment to obtain approximate position information of the wireless Internet of things equipment;
and S5, generating a map according to the design drawing, corresponding the equipment to the generated map according to the layout position information of the wireless Internet of things equipment, and finally fitting the wireless Internet of things equipment position relation graph to the actual map in a diffraction mode to obtain the actual position information of each equipment on the map.
A location information generating method of an internet of things device location information generating system based on wireless networking according to claim 1, comprising the steps of:
(1) identifying all wireless Internet of things equipment, and adding the identified Internet of things equipment to the cloud platform;
(2) each wireless Internet of things device acquires the wireless signal intensity of all wireless Internet of things devices in a certain range around, calculates the distance between each wireless Internet of things device and the adjacent wireless Internet of things device according to the wireless signal intensity and sends the obtained distance data to the cloud platform;
(3) the cloud platform collects and summarizes the obtained data, and the distance relation among all the wireless Internet of things equipment is calculated according to the distance relation among all the wireless Internet of things equipment;
(4) the cloud platform calculates a position relation graph of the wireless Internet of things equipment to obtain approximate position information of the wireless Internet of things equipment;
(5) performing row and column alignment operation on the obtained position information of the wireless Internet of things equipment;
(6) and drawing a virtual map, fitting the position information of the wireless Internet of things equipment subjected to the alignment operation to the virtual map, and generating the actual position information of the wireless Internet of things equipment.
In the above invention, further, each wireless internet of things device only collects wireless signals with a certain intensity value within a range.
In the above invention, further, in the process of acquiring the wireless signal, a mode of acquiring and averaging for multiple times is adopted for acquisition.
In the above disclosure, further, in step S5, if the wireless internet of things device location relationship graph cannot be fitted to the actual map in the diffraction process, a part of the devices may be manually identified on the map to assist in determining the mapping relationship.
In the above disclosure, in step S5, a point with low reliability in the diffraction process is rechecked in the field by using a field rechecking method, so as to ensure the accuracy of the actual location information of the device.
The invention has the beneficial effects that: according to the invention, the characteristics that the wireless Internet of things equipment can acquire the wireless signal intensity with other surrounding wireless Internet of things equipment are utilized, the distance data among all the equipment is calculated through the acquired wireless signal intensity, and then the position information of each wireless Internet of things equipment is obtained, so that the manual operation required in the process of acquiring the position information of the wireless Internet of things equipment is greatly reduced, the laying cost is reduced, and the installation efficiency of the wireless Internet of things equipment is improved.
Drawings
FIG. 1 is a block flow diagram of the present invention;
fig. 2 is a schematic diagram of a wireless internet of things device for acquiring wireless signals according to the invention;
fig. 3 is a position relationship diagram of the wireless internet of things device obtained by the cloud platform in the embodiment;
fig. 4 is a schematic diagram illustrating a row-column alignment operation of location information of a wireless internet of things device in the embodiment.
Detailed Description
The embodiments of the present invention are described below with reference to specific embodiments, and other advantages and effects of the present invention will be easily understood by those skilled in the art from the disclosure of the present specification. The invention is capable of other and different embodiments and of being practiced or of being carried out in various ways, and its several details are capable of modification in various respects, all without departing from the spirit and scope of the present invention. It is to be noted that the features in the following embodiments and examples may be combined with each other without conflict.
It should be noted that the drawings provided in the following embodiments are only for illustrating the basic idea of the present invention, and the components related to the present invention are only shown in the drawings rather than drawn according to the number, shape and size of the components in actual implementation, and the type, quantity and proportion of the components in actual implementation may be changed freely, and the layout of the components may be more complicated.
Example 1:
a wireless networking system for generating position information through Internet of things equipment is shown in attached figure 1 and comprises wireless Internet of things equipment and a cloud platform which are connected in a networking mode, specifically, each wireless Internet of things equipment is provided with a wireless module, the wireless modules are arranged to be used for collecting wireless signal intensity data of other wireless Internet of things equipment in a certain range, the wireless Internet of things equipment calculates the distance between the wireless Internet of things equipment and adjacent wireless Internet of things equipment according to the obtained wireless signal intensity data and sends the distance data to the cloud platform, and the cloud platform calculates the position information between each piece of Internet of things equipment according to the obtained distance data and fits the position information to a map.
More specifically, the invention further provides a method for generating the location information of the internet of things equipment in the wireless networking, which specifically comprises the following steps:
s1, identifying all wireless Internet of things equipment, and adding the identified Internet of things equipment to the cloud platform;
s2, each wireless Internet of things device collects the wireless signal intensity of all wireless Internet of things devices in a certain range around, calculates the distance between each wireless Internet of things device and the adjacent wireless Internet of things device according to the wireless signal intensity and sends the obtained distance data to the cloud platform;
in this step, further, considering that the wireless internet of things device calculates the distance between the devices by acquiring the strength of the wireless signal between the devices, the fluctuation of the signal may cause a calculation error. Therefore, the accuracy of signal acquisition is improved by adopting a mode of acquiring the average value for multiple times.
Furthermore, because the distribution density of the wireless internet of things devices can be different in different application environments, in some scenes with high density, some filtering needs to be performed on surrounding devices, so that each wireless internet of things device only collects wireless signals with a certain intensity value within a range, please refer to fig. 2, assume that a is a device for collecting signals, a collects wireless signals with signal intensity of-25 dbm-50 dbm, within the wireless signal strength range, the device B-device I exists, then the device a only collects the wireless signals of the device B-device I, and wireless signals of the devices 1-15 outside the signal strength range are not collected, so that data with low reliability (the farther the distance is, the lower the reliability of the distance calculated by the signal strength) can be avoided, and invalid calculated amount is reduced.
S3, the cloud platform collects and summarizes the data obtained in the step S2, and distance relations among all the wireless Internet of things devices are obtained through calculation according to the distance relations among all the wireless Internet of things devices;
s4, the cloud platform calculates a position relation graph of the wireless Internet of things equipment to obtain approximate position information (shown in figure 3) of the Internet of things equipment;
and S5, generating a map according to the design drawing, corresponding the equipment to the generated map according to the layout position information of the wireless Internet of things equipment, and finally fitting the wireless Internet of things equipment position relation graph to the actual map in a diffraction mode to obtain the actual position information of each equipment on the map.
It should be noted that, in step S5, if the wireless internet of things device location relationship diagram cannot be fitted to the actual map in the diffraction process, part of the devices may be manually identified on the map to assist in determining the mapping relationship, and then the wireless internet of things device location relationship diagram is fitted to the actual map in the diffraction manner, and after the fitting is completed, the point location with low reliability in the diffraction process is rechecked in the field rechecking manner to ensure the accuracy of the device actual location information.
Example 2:
in this embodiment, a difference from embodiment 1 is that, in a case where a design drawing cannot be obtained to generate a map, a virtual map without device layout position information may be drawn, and since the wireless internet of things devices are usually installed in a row-column alignment manner in actual installation, in this embodiment, please refer to fig. 4, first perform a row-column alignment operation on the obtained position information of the wireless internet of things devices in embodiment 1 (in embodiment 1, the position information of the wireless internet of things devices after being aligned is matched with an actual wireless internet of things device point location on the map in a fitting manner after being calculated by diffraction, so that the row-column alignment operation is not required), and finally fit the position information of the wireless internet of things devices after being aligned onto the virtual map, so as to generate actual position information of the wireless internet of things devices.
The above-mentioned embodiments only express the specific embodiments of the present invention, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the inventive concept, which falls within the scope of the present invention.
Claims (7)
1. The utility model provides a system for thing networking equipment of wireless network deployment generates positional information, the system includes wireless thing networking equipment and the cloud platform that connects with the network deployment mode, its characterized in that all is provided with wireless module on each wireless thing networking equipment, wireless module is used for gathering the wireless signal intensity data of other wireless thing networking equipment in the certain limit, wireless thing networking equipment according to the wireless signal intensity data that obtains calculate with adjacent wireless thing networking equipment between the distance and with distance data send to the cloud platform, the cloud platform calculates the positional information who obtains between each thing networking equipment according to the distance data that obtains and with positional information fitting to the map.
2. The method for generating the location information of the system for generating the location information of the internet of things equipment based on the wireless networking of claim 1 is characterized by comprising the following steps:
s1, identifying all wireless Internet of things equipment, and adding the identified Internet of things equipment to the cloud platform;
s2, each wireless Internet of things device collects the wireless signal intensity of all wireless Internet of things devices in a certain range around, calculates the distance between each wireless Internet of things device and the adjacent wireless Internet of things device according to the wireless signal intensity and sends the obtained distance data to the cloud platform;
s3, the cloud platform collects and summarizes the obtained data, and distance relations among all wireless Internet of things devices are obtained through calculation according to the distance relations among all the wireless Internet of things devices;
s4, the cloud platform calculates a position relation graph of the wireless Internet of things equipment to obtain approximate position information of the wireless Internet of things equipment;
and S5, generating a map according to the design drawing, corresponding the equipment to the generated map according to the layout position information of the wireless Internet of things equipment, and finally fitting the wireless Internet of things equipment position relation graph to the actual map in a diffraction mode to obtain the actual position information of each equipment on the map.
3. The method for generating the location information of the system for generating the location information of the internet of things equipment based on the wireless networking of claim 1 is characterized by comprising the following steps:
(1) identifying all wireless Internet of things equipment, and adding the identified Internet of things equipment to the cloud platform;
(2) each wireless Internet of things device acquires the wireless signal intensity of all wireless Internet of things devices in a certain range around, calculates the distance between each wireless Internet of things device and the adjacent wireless Internet of things device according to the wireless signal intensity and sends the obtained distance data to the cloud platform;
(3) the cloud platform collects and summarizes the obtained data, and the distance relation among all the wireless Internet of things equipment is calculated according to the distance relation among all the wireless Internet of things equipment;
(4) the cloud platform calculates a position relation graph of the wireless Internet of things equipment to obtain approximate position information of the wireless Internet of things equipment;
(5) performing row and column alignment operation on the obtained position information of the wireless Internet of things equipment;
(6) and drawing a virtual map, fitting the position information of the wireless Internet of things equipment subjected to the alignment operation to the virtual map, and generating the actual position information of the wireless Internet of things equipment.
4. The method according to claim 2 or 3, wherein each wireless Internet of things device only collects wireless signals with a certain intensity value within a range.
5. A method as claimed in claim 2 or 3, wherein the wireless signal is acquired by averaging a plurality of acquisitions.
6. The method as claimed in claim 2, wherein in step S5, if the wireless internet of things device location relationship graph cannot be fitted to the actual map during diffraction, a part of the devices may be manually identified on the map to assist in determining the mapping relationship.
7. The method according to claim 2, wherein in step S5, the point with low reliability in the diffraction process is rechecked in situ to ensure the accuracy of the actual position information of the device.
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