CN110636576B - Automated wireless network selection platform - Google Patents

Automated wireless network selection platform Download PDF

Info

Publication number
CN110636576B
CN110636576B CN201910825928.6A CN201910825928A CN110636576B CN 110636576 B CN110636576 B CN 110636576B CN 201910825928 A CN201910825928 A CN 201910825928A CN 110636576 B CN110636576 B CN 110636576B
Authority
CN
China
Prior art keywords
image
surrounding environment
environment image
equipment
brightness
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN201910825928.6A
Other languages
Chinese (zh)
Other versions
CN110636576A (en
Inventor
刘金涛
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Jiangsu Lingdeyi Network Technology Co ltd
Original Assignee
Jiangsu Lingdeyi Network Technology Co ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Jiangsu Lingdeyi Network Technology Co ltd filed Critical Jiangsu Lingdeyi Network Technology Co ltd
Priority to CN201910825928.6A priority Critical patent/CN110636576B/en
Publication of CN110636576A publication Critical patent/CN110636576A/en
Application granted granted Critical
Publication of CN110636576B publication Critical patent/CN110636576B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W36/00Hand-off or reselection arrangements
    • H04W36/0005Control or signalling for completing the hand-off
    • H04W36/0055Transmission or use of information for re-establishing the radio link
    • H04W36/0066Transmission or use of information for re-establishing the radio link of control information between different types of networks in order to establish a new radio link in the target network
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W36/00Hand-off or reselection arrangements
    • H04W36/0005Control or signalling for completing the hand-off
    • H04W36/0083Determination of parameters used for hand-off, e.g. generation or modification of neighbour cell lists
    • H04W36/0085Hand-off measurements
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W36/00Hand-off or reselection arrangements
    • H04W36/24Reselection being triggered by specific parameters
    • H04W36/30Reselection being triggered by specific parameters by measured or perceived connection quality data
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W84/00Network topologies
    • H04W84/02Hierarchically pre-organised networks, e.g. paging networks, cellular networks, WLAN [Wireless Local Area Network] or WLL [Wireless Local Loop]
    • H04W84/10Small scale networks; Flat hierarchical networks
    • H04W84/12WLAN [Wireless Local Area Networks]

Landscapes

  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Mobile Radio Communication Systems (AREA)

Abstract

The invention relates to an automatic wireless network selection platform, which comprises: the data compensation device is used for performing brightness compensation operation on the surrounding environment image based on the brightness value to be processed, and outputting a processed image obtained after the brightness compensation operation is performed; and the object identification device is used for respectively matching the processed image with each reference antenna pattern, and sending an object existence signal when the reference antenna pattern with the matching degree exceeding a preset percentage threshold exists, or sending an object missing signal when the reference antenna pattern with the matching degree exceeding the preset percentage threshold exists. The automatic wireless network selection platform is reliable in principle and avoids manual operation. The intensity of the WIFI wireless signal intensity received by the smart phone is judged according to whether the antenna object exists around the smart phone or not, so that the wireless network currently used by the smart phone is correspondingly selected, and the wireless signal receiving quality of the smart phone is guaranteed.

Description

Automated wireless network selection platform
Technical Field
The invention relates to the field of wireless networks, in particular to an automatic wireless network selection platform.
Background
Wireless networks (english: Wireless networks) refer to any type of Wireless computer network, commonly integrated with telecommunication networks, that can link nodes to each other without cables. Wireless telecommunication networks are generally applied to remote control information transmission systems using electromagnetic waves, such as networks using radio waves as carrier waves and physical layers.
One of the development directions of wireless networks is "universal wireless network technology", that is, various wireless networks are unified under a single device. One chip developed by Intel adopts software radio technology, and can process different wireless technologies such as WiFi, WiMAX and DVB-H digital television on the same chip.
A Wireless Personal Area Network (WPAN) is a wireless network formed by connecting several devices to each other within a small range, usually within the reach of an individual. Such as bluetooth to headphones and laptops, ZigBee also provides an application platform for wireless personal networks.
Disclosure of Invention
The invention has at least the following two important points:
(1) when no antenna object exists around the smart phone, switching the current network used by the smart phone from the WIFI communication network to the time division duplex communication network, otherwise, switching the current network used by the smart phone from the time division duplex communication network to the WIFI communication network, thereby reducing frequent network switching operation of users;
(2) a small amount of image data is selected according to the characteristics of the image signal to perform content analysis so as to determine a specific strategy for executing brightness compensation operation, so that the content analysis of all the image data is not required, and the operation amount of image processing is reduced.
According to an aspect of the present invention, there is provided an automated wireless network selection platform, the platform comprising: and the network switching equipment is arranged on the integrated circuit board of the smart phone and is used for switching the current network used by the smart phone from the WIFI communication network to the time division duplex communication network when the object missing signal is received.
More specifically, in the automated wireless network selection platform: the network switching equipment is further used for switching the current network used by the smart phone from the time division duplex communication network to the WIFI communication network when the object existence signal is received.
More specifically, in the automated wireless network selection platform, the method further comprises: the FLASH memory card is arranged on an integrated circuit board of the smart phone and is used for pre-storing each reference antenna pattern corresponding to each antenna; in the FLASH memory card, each reference antenna pattern is a pattern which is obtained by carrying out pre-selection shooting on a corresponding type of antenna and only comprises the corresponding type of antenna; the parameter identification equipment is used for identifying the definition of the surrounding environment image to obtain a corresponding definition grade, wherein the surrounding environment image is clearer when the corresponding definition grade is higher; and the signal conversion device is connected with the parameter identification device and is used for performing average segmentation action on the surrounding environment image based on the definition level to obtain each segmentation block.
The automatic wireless network selection platform is reliable in principle and avoids manual operation. The intensity of the WIFI wireless signal intensity received by the smart phone is judged according to whether the antenna object exists around the smart phone or not, so that the wireless network currently used by the smart phone is correspondingly selected, and the wireless signal receiving quality of the smart phone is guaranteed.
Detailed Description
Embodiments of the automated wireless network selection platform of the present invention will be described in detail below.
WIFI is a technology that allows an electronic device to connect to a Wireless Local Area Network (WLAN), typically using the 2.4G UHF or 5G SHF ISM radio frequency bands. Connecting to a wireless local area network is typically password protected; but may be open, allowing any device within range of the WLAN to connect. WIFI is a brand of wireless network communication technology, held by the WIFI alliance. The object is to improve the interoperability between wireless network products based on the IEEE 802.11 standard. Local area networks using the IEEE 802.11 family of protocols are known as wireless fidelity. Even WIFI is equated to the wireless internet (WIFI is an important component of WLAN).
At present, the smart phone using the WIFI communication network consumes less wireless resources, but after all, the coverage of the WIFI communication network is limited, and once the smart phone is far away from the coverage of the WIFI communication network and is not restored to the mobile communication network in time, the quality of wireless data received by the smart phone is seriously affected.
In order to overcome the defects, the invention builds an automatic wireless network selection platform and can effectively solve the corresponding technical problem.
An automated wireless network selection platform shown according to an embodiment of the present invention comprises:
and the network switching equipment is arranged on the integrated circuit board of the smart phone and is used for switching the current network used by the smart phone from the WIFI communication network to the time division duplex communication network when the object missing signal is received.
Next, the detailed structure of the automated wireless network selection platform of the present invention will be further described.
In the automated wireless network selection platform:
the network switching equipment is further used for switching the current network used by the smart phone from the time division duplex communication network to the WIFI communication network when the object existence signal is received.
In the automated wireless network selection platform, further comprising:
the FLASH memory card is arranged on an integrated circuit board of the smart phone and is used for pre-storing each reference antenna pattern corresponding to each antenna;
in the FLASH memory card, each reference antenna pattern is a pattern which is obtained by carrying out pre-selection shooting on a corresponding type of antenna and only comprises the corresponding type of antenna;
the parameter identification equipment is used for identifying the definition of the surrounding environment image to obtain a corresponding definition grade, wherein the surrounding environment image is clearer when the corresponding definition grade is higher;
the signal conversion device is connected with the parameter identification device and is used for performing average segmentation action on the surrounding environment image based on the definition level to obtain each segmentation block;
in the signal conversion apparatus, the higher the definition level is, the greater the number of obtained individual divided blocks;
the signal selection device is connected with the signal conversion device and used for receiving each segmentation block of the surrounding environment image, selecting four segmentation blocks of the surrounding environment image, namely the upper left corner, the upper right corner, the lower left corner and the lower right corner as four segmentation blocks to be analyzed and outputting the four segmentation blocks;
the parameter output equipment is connected with the signal selection equipment and used for detecting the brightness values of the four to-be-analyzed segmented blocks and taking the average value of the brightness values of the four to-be-analyzed segmented blocks as a to-be-processed brightness value;
the data compensation device is connected with the parameter output device and is used for performing brightness compensation operation on the ambient environment image based on the brightness value to be processed, the larger the difference value between the brightness value to be processed and a preset brightness threshold value is, the larger the compensation value for performing the brightness compensation operation on the ambient environment image is, and the processed image obtained after the brightness compensation operation is performed is further output by the data compensation device;
and the object identification device is respectively connected with the FLASH memory card and the data compensation device and is used for respectively matching the processed image with each reference antenna pattern, sending an object existence signal when the reference antenna pattern with the matching degree exceeding a preset percentage threshold exists, and otherwise, sending an object missing signal.
In the automated wireless network selection platform, further comprising:
and the content splicing equipment is connected with the parameter identification equipment and is used for splicing the received images respectively output by the front-end camera and the rear-end camera of the smart phone to obtain the surrounding environment image.
In the automated wireless network selection platform, further comprising:
the first analysis device is connected with the content splicing device and used for receiving the surrounding environment image and measuring the signal-to-noise ratio of the surrounding environment image to obtain and output a corresponding current signal-to-noise ratio;
and the second analysis device is connected with the first analysis device and is used for performing average macro block processing on the surrounding environment image based on the current signal-to-noise ratio to obtain each image macro block, wherein the smaller the current signal-to-noise ratio is, the larger each image macro block obtained by performing average macro block processing on the surrounding environment image is.
In the automated wireless network selection platform, further comprising:
and the data capture device is connected with the second analysis device and used for receiving each image macro block of the surrounding environment image and drawing the maximum parallelogram in the surrounding environment image so as to output the image macro block through which the maximum parallelogram passes as a reference image macro block.
In the automated wireless network selection platform, further comprising:
and the targeted computing equipment is connected with the data capturing equipment and used for distinguishing each brightness value of each reference image macro block in the surrounding environment image, adding the maximum value and the minimum value of each brightness value and dividing the sum by 2 to obtain a brightness value to be analyzed.
In the automated wireless network selection platform, further comprising:
the image correction device is connected with the targeted computing device and used for executing brightness enhancement processing on the surrounding environment image by taking the brightness value to be analyzed as the overall brightness value of the surrounding environment image so as to obtain a corresponding instant adjustment image;
the image correction device is also connected with the parameter identification device and used for replacing the ambient environment image with the instant adjustment image and sending the image to the parameter identification device.
In the automated wireless network selection platform:
the image correction equipment comprises parameter receiving sub-equipment, instant processing sub-equipment and image output sub-equipment;
the parameter receiving sub-device is configured to receive the brightness value to be analyzed, and the immediate processing sub-device is configured to perform brightness enhancement processing on the ambient environment image by using the brightness value to be analyzed as an overall brightness value of the ambient environment image.
In the automated wireless network selection platform:
performing brightness enhancement processing on the surrounding environment image by using the brightness value to be analyzed as the overall brightness value of the surrounding environment image comprises: the lower the brightness value to be analyzed is, the larger the amplitude of performing brightness enhancement processing on the surrounding environment image is;
the image output sub-equipment is connected with the instant processing sub-equipment and is used for obtaining a corresponding instant adjustment image and sending the instant adjustment image to the parameter identification equipment in place of the surrounding environment image.
In addition, FLASH memory chips are nonvolatile memories, and blocks of memory cells called blocks can be erased and reprogrammed. The write operation of any FLASH device can only be performed in empty or erased cells, so in most cases, the erase must be performed before the write operation can be performed. While it is simple for a NAND device to perform an erase operation, NOR requires that all bits in the target block be written to 0 before an erase can be performed. Since erasing NOR devices is performed in blocks of 64-128 KB, the time for performing a write/erase operation is 5s, whereas erasing NAND devices is performed in blocks of 8-32 KB, which requires only 4ms at most to perform the same operation. The difference in block size when performing erasures further increases the performance gap between NOR and NADN, and statistics show that for a given set of write operations (especially when updating small files), more erase operations must be performed in NOR-based cells.
It is to be understood that while the present invention has been described in conjunction with the preferred embodiments thereof, it is not intended to limit the invention to those embodiments. It will be apparent to those skilled in the art from this disclosure that many changes and modifications can be made, or equivalents modified, in the embodiments of the invention without departing from the scope of the invention. Therefore, any simple modification, equivalent change and modification made to the above embodiments according to the technical essence of the present invention are still within the scope of the protection of the technical solution of the present invention, unless the contents of the technical solution of the present invention are departed.

Claims (8)

1. An automated wireless network selection platform, comprising:
the network switching equipment is arranged on an integrated circuit board of the smart phone and used for switching the current network used by the smart phone from the WIFI communication network to the time division duplex communication network when the object missing signal is received;
the network switching equipment is also used for switching the current network used by the smart phone from the time division duplex communication network to the WIFI communication network when receiving the object existence signal;
the FLASH memory card is arranged on an integrated circuit board of the smart phone and is used for pre-storing each reference antenna pattern corresponding to each antenna;
in the FLASH memory card, each reference antenna pattern is a pattern which is obtained by carrying out pre-selection shooting on a corresponding type of antenna and only comprises the corresponding type of antenna;
the parameter identification equipment is used for identifying the definition of the surrounding environment image to obtain a corresponding definition grade, wherein the surrounding environment image is clearer when the corresponding definition grade is higher;
the signal conversion device is connected with the parameter identification device and is used for performing average segmentation action on the surrounding environment image based on the definition level to obtain each segmentation block;
in the signal conversion apparatus, the higher the definition level is, the greater the number of obtained individual divided blocks;
the signal selection device is connected with the signal conversion device and used for receiving each segmentation block of the surrounding environment image, selecting four segmentation blocks of the surrounding environment image, namely the upper left corner, the upper right corner, the lower left corner and the lower right corner as four segmentation blocks to be analyzed and outputting the four segmentation blocks;
the parameter output equipment is connected with the signal selection equipment and used for detecting the brightness values of the four to-be-analyzed segmented blocks and taking the average value of the brightness values of the four to-be-analyzed segmented blocks as a to-be-processed brightness value;
the data compensation device is connected with the parameter output device and is used for performing brightness compensation operation on the ambient environment image based on the brightness value to be processed, the larger the difference value between the brightness value to be processed and a preset brightness threshold value is, the larger the compensation value for performing the brightness compensation operation on the ambient environment image is, and the processed image obtained after the brightness compensation operation is performed is further output by the data compensation device;
and the object identification device is respectively connected with the FLASH memory card and the data compensation device and is used for respectively matching the processed image with each reference antenna pattern, sending an object existence signal when the reference antenna pattern with the matching degree exceeding a preset percentage threshold exists, and otherwise, sending an object missing signal.
2. The automated wireless network selection platform of claim 1, wherein the platform further comprises:
and the content splicing equipment is connected with the parameter identification equipment and is used for splicing the received images respectively output by the front-end camera and the rear-end camera of the smart phone to obtain the surrounding environment image.
3. The automated wireless network selection platform of claim 2, wherein the platform further comprises:
the first analysis device is connected with the content splicing device and used for receiving the surrounding environment image and measuring the signal-to-noise ratio of the surrounding environment image to obtain and output a corresponding current signal-to-noise ratio;
and the second analysis device is connected with the first analysis device and is used for performing average macro block processing on the surrounding environment image based on the current signal-to-noise ratio to obtain each image macro block, wherein the smaller the current signal-to-noise ratio is, the larger each image macro block obtained by performing average macro block processing on the surrounding environment image is.
4. The automated wireless network selection platform of claim 3, wherein the platform further comprises:
and the data capture device is connected with the second analysis device and used for receiving each image macro block of the surrounding environment image and drawing the maximum parallelogram in the surrounding environment image so as to output the image macro block through which the maximum parallelogram passes as a reference image macro block.
5. The automated wireless network selection platform of claim 4, wherein the platform further comprises:
and the targeted computing equipment is connected with the data capturing equipment and used for distinguishing each brightness value of each reference image macro block in the surrounding environment image, adding the maximum value and the minimum value of each brightness value and dividing the sum by 2 to obtain a brightness value to be analyzed.
6. The automated wireless network selection platform of claim 5, wherein the platform further comprises:
the image correction device is connected with the targeted computing device and used for executing brightness enhancement processing on the surrounding environment image by taking the brightness value to be analyzed as the overall brightness value of the surrounding environment image so as to obtain a corresponding instant adjustment image;
the image correction device is also connected with the parameter identification device and used for replacing the ambient environment image with the instant adjustment image and sending the image to the parameter identification device.
7. The automated wireless network selection platform of claim 6, wherein:
the image correction equipment comprises parameter receiving sub-equipment, instant processing sub-equipment and image output sub-equipment;
the parameter receiving sub-device is configured to receive the brightness value to be analyzed, and the immediate processing sub-device is configured to perform brightness enhancement processing on the ambient environment image by using the brightness value to be analyzed as an overall brightness value of the ambient environment image.
8. The automated wireless network selection platform of claim 7, wherein:
performing brightness enhancement processing on the surrounding environment image by using the brightness value to be analyzed as the overall brightness value of the surrounding environment image comprises: the lower the brightness value to be analyzed is, the larger the amplitude of performing brightness enhancement processing on the surrounding environment image is;
the image output sub-equipment is connected with the instant processing sub-equipment and is used for obtaining a corresponding instant adjustment image and sending the instant adjustment image to the parameter identification equipment in place of the surrounding environment image.
CN201910825928.6A 2019-09-03 2019-09-03 Automated wireless network selection platform Active CN110636576B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201910825928.6A CN110636576B (en) 2019-09-03 2019-09-03 Automated wireless network selection platform

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201910825928.6A CN110636576B (en) 2019-09-03 2019-09-03 Automated wireless network selection platform

Publications (2)

Publication Number Publication Date
CN110636576A CN110636576A (en) 2019-12-31
CN110636576B true CN110636576B (en) 2021-01-22

Family

ID=68969933

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201910825928.6A Active CN110636576B (en) 2019-09-03 2019-09-03 Automated wireless network selection platform

Country Status (1)

Country Link
CN (1) CN110636576B (en)

Families Citing this family (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112333798B (en) * 2020-11-05 2022-01-18 珠海格力电器股份有限公司 Control method and device of intelligent equipment
CN117938626A (en) * 2024-01-24 2024-04-26 南京脉期尔电气有限公司 Network warning system triggered by applying power-on detection

Family Cites Families (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105450923A (en) * 2014-09-25 2016-03-30 索尼公司 Image processing method, image processing device and electronic device
CN105873157A (en) * 2015-11-13 2016-08-17 乐视移动智能信息技术(北京)有限公司 Automatic network switching method and device, and mobile terminal
CN105282809A (en) * 2015-11-17 2016-01-27 小米科技有限责任公司 Network model switching method and apparatus, and terminal equipment
CN109842759B (en) * 2019-01-21 2020-01-24 北京健康之家科技有限公司 Network service operation control platform

Also Published As

Publication number Publication date
CN110636576A (en) 2019-12-31

Similar Documents

Publication Publication Date Title
CN110636576B (en) Automated wireless network selection platform
US20210289108A1 (en) Electromagnetic interference control method and related electromagnetic interference control device
CN103974267A (en) Interference reduction method and device and mobile terminal
CN108495344B (en) Network switching method, device and terminal
CN111385126B (en) Equipment behavior control method, device, system and storage medium
CN111294857A (en) Intelligent display screen, control method, storage medium and electronic equipment
CN104811524A (en) Method and device for testing radio frequency performance of terminal
CN106254791A (en) The startup method of photographic head and mobile terminal
CN105376644A (en) Method, device and system for testing sensitivity of tuner of set top box
CN113067597B (en) Link processing method and device, electronic equipment and storage medium
CN113971437A (en) Cross-domain gesture recognition method based on commercial Wi-Fi equipment
CN111698459B (en) Real-time analysis method for object parameters
CN115549754B (en) Core network-based satellite communication high-low orbit switching method, equipment and storage medium
CN111565081A (en) Method, medium, terminal and device for scanning white spectrum frequency band in cognitive radio
CN112769451B (en) Information transmission/reception control method, information transmission/reception control device, electronic apparatus, and storage medium
CN112383660B (en) Throughput rate testing method and device of intelligent terminal, storage medium and terminal
CN115314962A (en) Cell access method and device
CN114547164A (en) Method and related device for exporting test data
CN105574453A (en) Two-dimensional code processing method and mobile terminal
CN112910486A (en) Information transmission/reception control method, information transmission/reception control device, electronic apparatus, and storage medium
CN113612717A (en) Frequency offset calibration method and device, electronic equipment and storage medium
CN108337718B (en) Wireless network scanning method and device, terminal equipment and storage medium
CN111917497A (en) Electronic equipment and method for reducing communication interference
CN112615659A (en) Data channel switching method and Beidou multichannel antenna
CN111027361A (en) Object parameter real-time analysis platform

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
TA01 Transfer of patent application right
TA01 Transfer of patent application right

Effective date of registration: 20201229

Address after: 221232 no.573, Shaji Town, Suining County, Xuzhou City, Jiangsu Province

Applicant after: Jiangsu lingdeyi Network Technology Co.,Ltd.

Address before: 223800 No.1, zone B, East District, Taiwan Science and Technology Industrial Park, Sucheng economic and Technological Development Zone, Suqian City, Jiangsu Province

Applicant before: Liu Jintao

GR01 Patent grant
GR01 Patent grant