CN114125855A

CN114125855A - Price tag network channel allocation method, equipment and computer readable storage medium

Info

Publication number: CN114125855A
Application number: CN202111356005.4A
Authority: CN
Inventors: 倪秉炬
Original assignee: Nubia Technology Co Ltd
Current assignee: Nubia Technology Co Ltd
Priority date: 2021-11-16
Filing date: 2021-11-16
Publication date: 2022-03-01

Abstract

The invention discloses a price tag network channel allocation method, equipment and a computer readable storage medium, wherein the method comprises the following steps: acquiring a first monitoring result of a broadcast channel of a base station which has accessed the network according to a broadcast channel monitoring instruction sent by a server; acquiring a second monitoring result of the data channel of the accessed base station according to the data channel monitoring instruction sent by the server; and receiving a channel allocation instruction sent by the server, wherein the channel allocation instruction is obtained by constructing a data model and training the data model by the server according to the accessed base station data, the channel number of the broadcast channel and the signal strength value corresponding to the channel number, and the channel number of the data channel and the signal strength value corresponding to the channel number. The method and the device realize an efficient and convenient price tag network channel allocation scheme, timely, stable and dynamic channel allocation is provided for the base station of the price tag network, the success rate of price tag mapping is improved, and the price tag product strength is enhanced.

Description

Price tag network channel allocation method, equipment and computer readable storage medium

Technical Field

The present invention relates to the field of mobile communications, and in particular, to a price tag network channel allocation method, device, and computer-readable storage medium.

Background

In the prior art, the technical scheme and the application range of the electronic price tag are rapidly developing. The number of the electronic price tags is limited because the channels used by the base stations are 2.4GHz frequency bands, and in the traditional electronic price tag scheme, the number of the base stations in a single store is generally 80. When the base station accesses the network, it is only required to ensure that channels used by all base stations in a single store are different. The server-side channel allocation mechanism uses the simplest of establishing a unique joint index with a channel based on store ID.

However, the above solutions have problems:

1. if the store is large, the number of base stations needed to be used exceeds the number of channels, the channel allocation is problematic at this time, and the server side allocates the channels according to the original mechanism, so that the channel repetition problem occurs.

2. If the scheme of configuring a store with sub-stores is used, it is inefficient to require personnel to manually bind the sub-stores to different base stations.

In the prior art, in order to solve the above problems, a scheme with poor applicability is provided, that is, when a store is large, the same channel is used for a base station far away from the store, that is, waste in channel use caused by the original scheme is avoided.

However, in the above solution, in order to determine which duplicate channels are available, it is still necessary to carry a noise detector and a signal detector to the store for measurement, which is very costly. Therefore, a new solution for solving the above problems efficiently, conveniently, stably and continuously is needed.

Disclosure of Invention

In order to solve the technical defects in the prior art, the invention provides a price tag network channel allocation method, which comprises the following steps:

the method comprises the steps of obtaining a first monitoring result of a broadcast channel of a base station which is accessed to the network according to a broadcast channel monitoring instruction sent by a server, and returning the first monitoring result to the server, wherein the first monitoring result comprises a channel number of the broadcast channel and a signal intensity value corresponding to the channel number.

And acquiring a second monitoring result of the data channel of the accessed base station according to the data channel monitoring instruction sent by the server, and returning the second monitoring result to the server, wherein the second monitoring result comprises a channel number of the data channel and a signal strength value corresponding to the channel number.

And receiving a channel allocation instruction sent by the server, wherein the channel allocation instruction is obtained by constructing a data model and training the data model by the server according to the accessed base station data, the channel number of the broadcast channel and the signal strength value corresponding to the channel number, and the channel number of the data channel and the signal strength value corresponding to the channel number.

And calling an interface to complete channel allocation corresponding to the channel allocation instruction, and returning a channel allocation result to the server.

Optionally, the obtaining, according to the broadcast channel monitoring instruction sent by the server, a first monitoring result of a broadcast channel of a base station that has accessed the network includes:

and acquiring the short number sent by the server, wherein the short number is an identity generated by the server and used for identifying the base station to be accessed to the network.

And storing the short number, and returning a confirmation instruction of the short number to the server so that the server stores the mapping relation between the base station to be accessed to the network and the short number.

Optionally, the invoking interface completes channel allocation corresponding to the channel allocation instruction, and returns a result of the channel allocation to the server, and then includes:

and after the network is accessed according to the channel allocation, acquiring noise interference and channel intensity data, and sending the noise interference and channel intensity data to the server.

And receiving a channel updating instruction of the server, wherein the channel updating instruction is obtained by training and calculating the server according to the data model and the noise interference and channel intensity data.

The application also provides a price tag network channel allocation method, which is applied to a server and comprises the following steps:

the method comprises the steps of sending a broadcast channel monitoring instruction to a base station to be accessed to the network, and receiving a first monitoring result of the broadcast channel of the base station to be accessed to the network, wherein the first monitoring result comprises a channel number of the broadcast channel and a signal intensity value corresponding to the channel number.

And sending a data channel monitoring instruction to the base station to be accessed to the network, and informing the base station which has been accessed to the network to start executing data transmission when receiving a data channel monitoring ready signal returned by the base station to be accessed to the network.

And receiving a second monitoring result of the data channel of the accessed base station returned by the base station to be accessed, wherein the second monitoring result comprises a channel number of the data channel and a signal intensity value corresponding to the channel number.

And constructing a data model according to the data of the base station which is accessed to the network, the channel number of the broadcast channel and the signal intensity value corresponding to the channel number, the channel number of the data channel and the signal intensity value corresponding to the channel number, training to obtain a channel distribution instruction, and sending the channel distribution instruction to the base station to be accessed to the network.

Optionally, the sending a broadcast channel monitoring instruction to a base station to be networked includes:

and determining a use place to be bound by the base station to be accessed to the network, and generating a short number corresponding to the base station to be accessed to the network according to the place information of the use place.

And sending the short number to a base station to be accessed to the network, and storing the mapping relation between the base station to be accessed to the network and the short number when the base station to be accessed to the network returns a confirmation instruction of the short number.

Optionally, the receiving a second monitoring result of the data channel of the network-accessed base station, which is returned by the base station to be accessed to the network, includes:

and detecting whether the second monitoring result contains the monitoring data of all the base stations which have accessed the network.

And if the second monitoring result does not contain the monitored data of all the accessed base stations, sending a data transmission notification to the accessed base stations which do not finish monitoring data transmission again.

Optionally, the sending the channel allocation instruction to the base station to be networked includes:

counting the graph pushing success rate and the noise interference value of the accessed base station in a preset multi-time period, determining the corresponding relation between the graph pushing success rate and the noise interference value, and training the data model to reach a stable state according to the corresponding relation, the graph pushing success rate and the noise interference value.

And generating an optimal channel list corresponding to the preset multi-time period through the data model, and generating a channel allocation instruction of the accessed base station according to the optimal channel list.

Optionally, the sending the channel allocation instruction to the base station to be networked further includes:

and calculating a group of initial channels according to the graph push success rate and the noise interference value, distributing the initial channels to the base stations which have accessed the network, and acquiring a new graph push success rate and a new noise interference value which are returned by the distributed base stations in the preset multi-period.

And constructing a new data model according to the preferred channel, the new graph push success rate and the noise interference value and training to obtain the preferred channel of the distributed base station in the preset multiple time periods.

The present invention also proposes a price tag network channel allocation device comprising a memory, a processor and a computer program stored on said memory and operable on said processor, said computer program, when executed by said processor, implementing the steps of the price tag network channel allocation method as defined in any one of the above.

The present invention also proposes a computer-readable storage medium having stored thereon a price tag network channel allocation program which, when executed by a processor, implements the steps of the price tag network channel allocation method as defined in any one of the above.

The price tag network channel allocation method, the price tag network channel allocation device and the computer readable storage medium are implemented, a first monitoring result of a broadcast channel of a base station which is accessed to the network is obtained through a broadcast channel monitoring instruction sent by a server, and the first monitoring result is returned to the server, wherein the first monitoring result comprises a channel number of the broadcast channel and a signal intensity value corresponding to the channel number; acquiring a second monitoring result of a data channel of a base station which is accessed to the network according to a data channel monitoring instruction sent by a server, and returning the second monitoring result to the server, wherein the second monitoring result comprises a channel number of the data channel and a signal intensity value corresponding to the channel number; receiving a channel allocation instruction sent by the server, wherein the channel allocation instruction is obtained by the server through constructing and training a data model according to the accessed base station data, the channel number of the broadcast channel and the signal intensity value corresponding to the channel number, and the channel number of the data channel and the signal intensity value corresponding to the channel number; and calling an interface to complete channel allocation corresponding to the channel allocation instruction, and returning a channel allocation result to the server. The price tag network channel allocation scheme is efficient and convenient, timely, stable and dynamic channel allocation is provided for a base station of a price tag network, the success rate of price tag graph pushing is improved, and the price tag product strength is enhanced.

Drawings

The invention will be further described with reference to the accompanying drawings and examples, in which:

fig. 1 is a schematic diagram of a hardware structure of a mobile terminal according to the present invention;

fig. 2 is a communication network system architecture diagram provided by an embodiment of the present invention;

FIG. 3 is a flow chart of a first embodiment of a price tag network channel allocation method of the present invention;

FIG. 4 is a flow chart of a second embodiment of a price tag network channel allocation method of the present invention;

FIG. 5 is a flow chart of a third embodiment of a price tag network channel assignment method of the present invention;

FIG. 6 is a flow chart of a fourth embodiment of a price tag network channel allocation method of the present invention;

FIG. 7 is a flow chart of a fifth embodiment of the price label network channel allocation method of the present invention;

FIG. 8 is a flow chart of a sixth embodiment of a price tag network channel assignment method of the present invention;

FIG. 9 is a flow chart of a seventh embodiment of a price tag network channel assignment method of the present invention;

fig. 10 is a flowchart of an eighth embodiment of the price label network channel allocation method of the present invention.

Detailed Description

It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.

In the following description, suffixes such as "module", "component", or "unit" used to denote elements are used only for facilitating the explanation of the present invention, and have no specific meaning in itself. Thus, "module", "component" or "unit" may be used mixedly.

The terminal may be implemented in various forms. For example, the terminal described in the present invention may include a mobile terminal such as a mobile phone, a tablet computer, a notebook computer, a palmtop computer, a Personal Digital Assistant (PDA), a Portable Media Player (PMP), a navigation device, a wearable device, a smart band, a pedometer, and the like, and a fixed terminal such as a Digital TV, a desktop computer, and the like.

The following description will be given by way of example of a mobile terminal, and it will be understood by those skilled in the art that the construction according to the embodiment of the present invention can be applied to a fixed type terminal, in addition to elements particularly used for mobile purposes.

Referring to fig. 1, which is a schematic diagram of a hardware structure of a mobile terminal for implementing various embodiments of the present invention, the mobile terminal 100 may include: RF (Radio Frequency) unit 101, WiFi module 102, audio output unit 103, a/V (audio/video) input unit 104, sensor 105, display unit 106, user input unit 107, interface unit 108, memory 109, processor 110, and power supply 111. Those skilled in the art will appreciate that the mobile terminal architecture shown in fig. 1 is not intended to be limiting of mobile terminals, which may include more or fewer components than those shown, or some components may be combined, or a different arrangement of components.

The following describes each component of the mobile terminal in detail with reference to fig. 1:

the radio frequency unit 101 may be configured to receive and transmit signals during information transmission and reception or during a call, and specifically, receive downlink information of a base station and then process the downlink information to the processor 110; in addition, the uplink data is transmitted to the base station. Typically, radio frequency unit 101 includes, but is not limited to, an antenna, at least one amplifier, a transceiver, a coupler, a low noise amplifier, a duplexer, and the like. In addition, the radio frequency unit 101 can also communicate with a network and other devices through wireless communication. The wireless communication may use any communication standard or protocol, including but not limited to GSM (Global System for Mobile communications), GPRS (General Packet Radio Service), CDMA2000(Code Division Multiple Access 2000), WCDMA (Wideband Code Division Multiple Access), TD-SCDMA (Time Division-Synchronous Code Division Multiple Access), FDD-LTE (Frequency Division duplex Long Term Evolution), and TDD-LTE (Time Division duplex Long Term Evolution).

WiFi belongs to short-distance wireless transmission technology, and the mobile terminal can help a user to receive and send e-mails, browse webpages, access streaming media and the like through the WiFi module 102, and provides wireless broadband internet access for the user. Although fig. 1 shows the WiFi module 102, it is understood that it does not belong to the essential constitution of the mobile terminal, and may be omitted entirely as needed within the scope not changing the essence of the invention.

The audio output unit 103 may convert audio data received by the radio frequency unit 101 or the WiFi module 102 or stored in the memory 109 into an audio signal and output as sound when the mobile terminal 100 is in a call signal reception mode, a call mode, a recording mode, a voice recognition mode, a broadcast reception mode, or the like. Also, the audio output unit 103 may also provide audio output related to a specific function performed by the mobile terminal 100 (e.g., a call signal reception sound, a message reception sound, etc.). The audio output unit 103 may include a speaker, a buzzer, and the like.

The a/V input unit 104 is used to receive audio or video signals. The a/V input Unit 104 may include a Graphics Processing Unit (GPU) 1041 and a microphone 1042, the Graphics processor 1041 Processing image data of still pictures or video obtained by an image capturing device (e.g., a camera) in a video capturing mode or an image capturing mode. The processed image frames may be displayed on the display unit 106. The image frames processed by the graphic processor 1041 may be stored in the memory 109 (or other storage medium) or transmitted via the radio frequency unit 101 or the WiFi module 102. The microphone 1042 may receive sounds (audio data) via the microphone 1042 in a phone call mode, a recording mode, a voice recognition mode, or the like, and may be capable of processing such sounds into audio data. The processed audio (voice) data may be converted into a format output transmittable to a mobile communication base station via the radio frequency unit 101 in case of a phone call mode. The microphone 1042 may implement various types of noise cancellation (or suppression) algorithms to cancel (or suppress) noise or interference generated in the course of receiving and transmitting audio signals.

The mobile terminal 100 also includes at least one sensor 105, such as a light sensor, a motion sensor, and other sensors. Specifically, the light sensor includes an ambient light sensor that can adjust the brightness of the display panel 1061 according to the brightness of ambient light, and a proximity sensor that can turn off the display panel 1061 and/or a backlight when the mobile terminal 100 is moved to the ear. As one of the motion sensors, the accelerometer sensor can detect the magnitude of acceleration in each direction (generally, three axes), can detect the magnitude and direction of gravity when stationary, and can be used for applications of recognizing the posture of a mobile phone (such as horizontal and vertical screen switching, related games, magnetometer posture calibration), vibration recognition related functions (such as pedometer and tapping), and the like; as for other sensors such as a fingerprint sensor, a pressure sensor, an iris sensor, a molecular sensor, a gyroscope, a barometer, a hygrometer, a thermometer, and an infrared sensor, which can be configured on the mobile phone, further description is omitted here.

The display unit 106 is used to display information input by a user or information provided to the user. The Display unit 106 may include a Display panel 1061, and the Display panel 1061 may be configured in the form of a Liquid Crystal Display (LCD), an Organic Light-Emitting Diode (OLED), or the like.

The user input unit 107 may be used to receive input numeric or character information and generate key signal inputs related to user settings and function control of the mobile terminal. Specifically, the user input unit 107 may include a touch panel 1071 and other input devices 1072. The touch panel 1071, also referred to as a touch screen, may collect a touch operation performed by a user on or near the touch panel 1071 (e.g., an operation performed by the user on or near the touch panel 1071 using a finger, a stylus, or any other suitable object or accessory), and drive a corresponding connection device according to a predetermined program. The touch panel 1071 may include two parts of a touch detection device and a touch controller. The touch detection device detects the touch direction of a user, detects a signal brought by touch operation and transmits the signal to the touch controller; the touch controller receives touch information from the touch sensing device, converts the touch information into touch point coordinates, sends the touch point coordinates to the processor 110, and can receive and execute commands sent by the processor 110. In addition, the touch panel 1071 may be implemented in various types, such as a resistive type, a capacitive type, an infrared ray, and a surface acoustic wave. In addition to the touch panel 1071, the user input unit 107 may include other input devices 1072. In particular, other input devices 1072 may include, but are not limited to, one or more of a physical keyboard, function keys (e.g., volume control keys, switch keys, etc.), a trackball, a mouse, a joystick, and the like, and are not limited to these specific examples.

Further, the touch panel 1071 may cover the display panel 1061, and when the touch panel 1071 detects a touch operation thereon or nearby, the touch panel 1071 transmits the touch operation to the processor 110 to determine the type of the touch event, and then the processor 110 provides a corresponding visual output on the display panel 1061 according to the type of the touch event. Although the touch panel 1071 and the display panel 1061 are shown in fig. 1 as two separate components to implement the input and output functions of the mobile terminal, in some embodiments, the touch panel 1071 and the display panel 1061 may be integrated to implement the input and output functions of the mobile terminal, and is not limited herein.

The interface unit 108 serves as an interface through which at least one external device is connected to the mobile terminal 100. For example, the external device may include a wired or wireless headset port, an external power supply (or battery charger) port, a wired or wireless data port, a memory card port, a port for connecting a device having an identification module, an audio input/output (I/O) port, a video I/O port, an earphone port, and the like. The interface unit 108 may be used to receive input (e.g., data information, power, etc.) from external devices and transmit the received input to one or more elements within the mobile terminal 100 or may be used to transmit data between the mobile terminal 100 and external devices.

The memory 109 may be used to store software programs as well as various data. The memory 109 may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required by at least one function (such as a sound playing function, an image playing function, etc.), and the like; the storage data area may store data (such as audio data, a phonebook, etc.) created according to the use of the cellular phone, and the like. Further, the memory 109 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid state storage device.

The processor 110 is a control center of the mobile terminal, connects various parts of the entire mobile terminal using various interfaces and lines, and performs various functions of the mobile terminal and processes data by operating or executing software programs and/or modules stored in the memory 109 and calling data stored in the memory 109, thereby performing overall monitoring of the mobile terminal. Processor 110 may include one or more processing units; preferably, the processor 110 may integrate an application processor, which mainly handles operating systems, user interfaces, application programs, etc., and a modem processor, which mainly handles wireless communications. It will be appreciated that the modem processor described above may not be integrated into the processor 110.

The mobile terminal 100 may further include a power supply 111 (e.g., a battery) for supplying power to various components, and preferably, the power supply 111 may be logically connected to the processor 110 via a power management system, so as to manage charging, discharging, and power consumption management functions via the power management system.

Although not shown in fig. 1, the mobile terminal 100 may further include a bluetooth module or the like, which is not described in detail herein.

In order to facilitate understanding of the embodiments of the present invention, a communication network system on which the mobile terminal of the present invention is based is described below.

Referring to fig. 2, fig. 2 is an architecture diagram of a communication Network system according to an embodiment of the present invention, where the communication Network system is an LTE system of a universal mobile telecommunications technology, and the LTE system includes a UE (User Equipment) 201, an E-UTRAN (Evolved UMTS Terrestrial Radio Access Network) 202, an EPC (Evolved Packet Core) 203, and an IP service 204 of an operator, which are in communication connection in sequence.

Specifically, the UE201 may be the terminal 100 described above, and is not described herein again.

The E-UTRAN202 includes eNodeB2021 and other eNodeBs 2022, among others. Among them, the eNodeB2021 may be connected with other eNodeB2022 through backhaul (e.g., X2 interface), the eNodeB2021 is connected to the EPC203, and the eNodeB2021 may provide the UE201 access to the EPC 203.

The EPC203 may include an MME (Mobility Management Entity) 2031, an HSS (Home Subscriber Server) 2032, other MMEs 2033, an SGW (Serving gateway) 2034, a PGW (PDN gateway) 2035, and a PCRF (Policy and Charging Rules Function) 2036, and the like. The MME2031 is a control node that handles signaling between the UE201 and the EPC203, and provides bearer and connection management. HSS2032 is used to provide registers to manage functions such as home location register (not shown) and holds subscriber specific information about service characteristics, data rates, etc. All user data may be sent through SGW2034, PGW2035 may provide IP address assignment for UE201 and other functions, and PCRF2036 is a policy and charging control policy decision point for traffic data flow and IP bearer resources, which selects and provides available policy and charging control decisions for a policy and charging enforcement function (not shown).

The IP services 204 may include the internet, intranets, IMS (IP Multimedia Subsystem), or other IP services, among others.

Although the LTE system is described as an example, it should be understood by those skilled in the art that the present invention is not limited to the LTE system, but may also be applied to other wireless communication systems, such as GSM, CDMA2000, WCDMA, TD-SCDMA, and future new network systems.

Based on the above mobile terminal hardware structure and communication network system, the present invention provides various embodiments of the method.

Example one

Fig. 3 is a flowchart of a first embodiment of a price tag network channel allocation method of the present invention. A price tag network channel allocation method, the method comprising:

s1, obtaining a first monitoring result of the broadcast channel of the base station which has accessed the network according to the broadcast channel monitoring instruction sent by the server, and returning the first monitoring result to the server, wherein the first monitoring result comprises a channel number of the broadcast channel and a signal intensity value corresponding to the channel number.

S2, obtaining a second monitoring result of the data channel of the accessed base station according to the data channel monitoring instruction sent by the server, and returning the second monitoring result to the server, wherein the second monitoring result comprises a channel number of the data channel and a signal intensity value corresponding to the channel number.

And S3, receiving a channel allocation instruction sent by the server, wherein the channel allocation instruction is obtained by the server constructing and training a data model according to the accessed base station data, the channel number of the broadcast channel and the signal strength value corresponding to the channel number, and the channel number of the data channel and the signal strength value corresponding to the channel number.

And S4, calling an interface to complete channel allocation corresponding to the channel allocation instruction, and returning the result of the channel allocation to the server.

In this embodiment, first, a base station monitors noise interference conditions of all channels when accessing a network, and reports the monitored values to a server side; monitoring the strength of all broadcast channels when a base station accesses the network; the server side informs all the base stations which have accessed the network to send data packets on the data channel for the base stations to be accessed to monitor, and reports the monitoring result to the server side. On one hand, the server side constructs a data model of the distance between the base stations according to the monitored channel and the monitored signal strength; and the server side calculates an optimal channel for the base station to be accessed to the network according to the data model and sends the optimal channel to the base station for use. On the other hand, the server collects noise interference conditions around the base station at each time interval every day and the mapping success rate between the base station and the price tag, constructs a data model and trains; the server calculates the optimal channel of each base station at each time interval every day and sends the optimal channel to the base stations for use.

Optionally, in this embodiment, when the base station accesses the network, first, the noise interference situation around the base station is checked, and the noise interference value of each channel is reported to the server side. When a store is bound, the server side pushes a command to the base station, the content of the push command includes all broadcast channel numbers of the currently accessed base station, and the server side is informed to monitor the broadcast channels, wherein the monitoring time duration can be 500 milliseconds. After the monitoring is finished, the monitored channel number and the signal intensity value thereof are reported to the server side, and the server side stores the channel number and the signal intensity value thereof into the data table.

Optionally, in this embodiment, after recording monitored data of a broadcast channel, the server side sequentially pushes a command to notify the base station that has accessed the network to send data packets in all data channels, and after the base station that has accessed the network is ready, the server side notifies the base station that has accessed the network to monitor all data channels and report monitored channel numbers and signal strength values thereof to the server side, where the monitoring duration may be 13 seconds, and the server side stores the monitored channel numbers and signal strength values thereof in a data table. The fields in the data table include the identification number of the base station to be accessed to the network, the identification number of the base station which has been accessed to the network, the monitored channel number and the monitored signal strength value. For example, the identification number of the base station to be accessed to the network is 3, the number of the existing base stations in the store is 3, and the identification numbers are 1, 2 and 5 respectively. The broadcast channels used are 1, 2, 3 respectively. The data are as follows:

[

{"bsid":"1","ch":"1","rssi":21},

{"bsid":"5","ch":"3","rssi":17},

{"bsid":"2","ch":"2","rssi":27},

{"bsid":"2","ch":"3","rssi":23}

]

optionally, in this embodiment, the server side determines, according to the received data, noise interference strengths of channels around the base station, and ranks the noise interference strengths from low to high, and preferably selects a channel with low interference; in addition, a distance model between each base station is constructed according to the received monitoring strength of the base station on the used channel, and for base stations with longer distances, namely some channels in use are monitored with low strength or cannot be monitored, as described in the following example, the base station 1 uses the channel 10, the newly-accessed base station 6 monitors the channel 10, and if the monitoring is not possible, the base station 6 is far away from the base station 1, and the channel 10 can be reused. According to the 2 basic principles, the server side can allocate an initial set of preferred channels including a broadcast channel and a plurality of data channels to the base station and send the channels to the base station for use.

Optionally, in this embodiment, a store scenario is taken as an example for explanation, and after channels are allocated to all base stations in a store, the base stations and the price tags start to operate normally. And the server side executes the image pushing task of the commodity image, issues the image pushing task to the base station, and the base station sends the price tag to display the price tag.

Optionally, in this embodiment, because the people flow rate in the store is large, for example, a department store supermarket or the like, the mobile phone device is moved by the people, which may cause interference to the channel environment of the base station, and sometimes the influence of the interference is large and sometimes the influence is small. In order to reduce the influence of interference and improve the graph push success rate, the server side can count the graph push success rate and the noise interference value in each time period under the base station, and the statistics is given to a big data system for statistics. And then, the server side constructs the relationship between the noise interference value and the graph push success rate in each time period. For a larger fluctuation situation, the server side needs to change a more optimal channel for the corresponding base station in the period. After data of a period of time is accumulated, and the data model and the data training reach a stable state, the server side will issue the optimal channel list of each base station in each period to the base station for use. Therefore, the base station can use the optimal channel in each time period, and the best success rate of the graph push is achieved.

Optionally, in this embodiment, according to the above scheme, the server calculates a group of preferred channels to be used by the base station according to the noise interference condition measured when the base station accesses the network and the monitored channel strength, then performs big data statistics according to the graph-pushing success rate of the base station at each time interval, constructs a data model and performs data training, calculates an optimal channel at each time interval, and sends the optimal channel to the base station for use and switching. The two schemes are combined to ensure that the commodity price change in the store can be successful most quickly and stably.

The method has the advantages that a first monitoring result of a broadcast channel of a base station which is accessed to the network is obtained through a broadcast channel monitoring instruction sent by a server, and the first monitoring result is returned to the server, wherein the first monitoring result comprises a channel number of the broadcast channel and a signal strength value corresponding to the channel number; acquiring a second monitoring result of a data channel of a base station which is accessed to the network according to a data channel monitoring instruction sent by a server, and returning the second monitoring result to the server, wherein the second monitoring result comprises a channel number of the data channel and a signal intensity value corresponding to the channel number; receiving a channel allocation instruction sent by the server, wherein the channel allocation instruction is obtained by the server through constructing and training a data model according to the accessed base station data, the channel number of the broadcast channel and the signal intensity value corresponding to the channel number, and the channel number of the data channel and the signal intensity value corresponding to the channel number; and calling an interface to complete channel allocation corresponding to the channel allocation instruction, and returning a channel allocation result to the server. The price tag network channel allocation scheme is efficient and convenient, timely, stable and dynamic channel allocation is provided for a base station of a price tag network, the success rate of price tag graph pushing is improved, and the price tag product strength is enhanced.

Example two

Fig. 4 is a flowchart of a second embodiment of a price tag network channel allocation method according to the present invention, where based on the above embodiment, the obtaining a first monitoring result of a broadcast channel of a base station that has accessed the network according to a broadcast channel monitoring instruction sent by a server includes:

s01, acquiring the short number sent by the server, wherein the short number is the identity generated by the server and used for identifying the base station to be accessed to the network.

S02, storing the short number, and returning the confirmation instruction of the short number to the server, so that the server stores the mapping relation between the base station to be accessed to the network and the short number.

Optionally, in this embodiment, when the base station transmits the broadcast packet and the data packet, a short number of one byte is carried in the packet as its own ID, and the server identifies a specific base station by using the short number.

Alternatively, in this embodiment, if there is no other networked base station in the store at this time, the server directly allocates a channel to the base station. For example, the command content pushed by the server at this time is: { …, "content", "500" }, where 500 denotes that the duration of this listen is 500 ms.

The method has the advantages that the short number sent by the server is obtained, wherein the short number is the identity generated by the server and used for identifying the base station to be accessed to the network; and storing the short number, and returning a confirmation instruction of the short number to the server so that the server stores the mapping relation between the base station to be accessed to the network and the short number. The price tag network channel allocation scheme is efficient and convenient, timely, stable and dynamic channel allocation is provided for a base station of a price tag network, the success rate of price tag graph pushing is improved, and the price tag product strength is enhanced.

EXAMPLE III

Fig. 5 is a flowchart of a price label network channel allocation method according to a third embodiment of the present invention, where based on the above embodiment, the invoking interface completes channel allocation corresponding to the channel allocation instruction, and returns a result of the channel allocation to the server, and then includes:

and S51, acquiring noise interference and channel intensity data after network access is allocated according to the channel, and sending the noise interference and channel intensity data to the server.

And S52, receiving a channel updating instruction of the server, wherein the channel updating instruction is obtained by training and calculating the server according to the data model and the noise interference and channel intensity data.

Optionally, in this embodiment, the graph-pushing success rate is increased in an effort to reduce the impact of interference. One scheme is that a server side counts the graph push success rate and the noise interference value in each time period under a base station, and the statistics is given to a big data system for statistics. And then, the server side constructs the relationship between the noise interference value and the graph push success rate in each time period. For a larger fluctuation situation, the server side needs to change a more optimal channel for the corresponding base station in the period. After data of a period of time is accumulated, and the data model and the data training reach a stable state, the server side will issue the optimal channel list of each base station in each period to the base station for use. Therefore, the base station can use the optimal channel in each time period, and the best success rate of the graph push is achieved.

Optionally, in another scheme, the server calculates a group of preferred channels to be used by the base station according to the noise interference condition measured when the base station accesses the network and the monitored channel strength, then performs big data statistics according to the graph-pushing success rate of the base station at each time interval, constructs a data model and performs data training, calculates an optimal channel at each time interval, and sends the optimal channel to the base station for use and switching. The two schemes are combined to ensure that the commodity price change in the store can be successful most quickly and stably.

The method has the advantages that after the network is accessed according to the channel allocation, the noise interference and channel intensity data are obtained and sent to the server; and receiving a channel updating instruction of the server, wherein the channel updating instruction is obtained by training and calculating the server according to the data model and the noise interference and channel intensity data. The price tag network channel allocation scheme is efficient and convenient, timely, stable and dynamic channel allocation is provided for a base station of a price tag network, the success rate of price tag graph pushing is improved, and the price tag product strength is enhanced.

Example four

Fig. 6 is a flowchart of a fourth embodiment of the price tag network channel allocation method according to the present invention, and based on the foregoing embodiments, this embodiment further provides a price tag network channel allocation method, which is applied to a server, and the method includes:

s10, sending a broadcast channel monitoring instruction to a base station to be networked, and receiving a first monitoring result of the broadcast channel of the base station to be networked, wherein the first monitoring result is returned by the base station to be networked and comprises a channel number of the broadcast channel and a signal strength value corresponding to the channel number.

And S20, sending a data channel monitoring instruction to the base station to be accessed, and informing the base station which has been accessed to start to execute data transmission when receiving a data channel monitoring ready signal returned by the base station to be accessed.

S30, receiving a second monitoring result of the data channel of the network-accessed base station returned by the base station to be accessed, wherein the second monitoring result comprises a channel number of the data channel and a signal strength value corresponding to the channel number.

S40, constructing a data model according to the data of the base station which is accessed to the network, the channel number of the broadcast channel and the signal intensity value corresponding to the channel number, the channel number of the data channel and the signal intensity value corresponding to the channel number, training to obtain a channel distribution instruction, and sending the channel distribution instruction to the base station to be accessed to the network.

[

{"bsid":"1","ch":"1","rssi":21},

{"bsid":"5","ch":"3","rssi":17},

{"bsid":"2","ch":"2","rssi":27},

{"bsid":"2","ch":"3","rssi":23}

]

The method has the advantages that the broadcast channel monitoring instruction is sent to the base station to be accessed to the network, and the first monitoring result of the broadcast channel of the base station to be accessed to the network returned by the base station to be accessed to the network is received, wherein the first monitoring result comprises the channel number of the broadcast channel and the signal intensity value corresponding to the channel number; sending a data channel monitoring instruction to a base station to be accessed to the network, and informing the base station which has been accessed to the network to start executing data transmission when receiving a data channel monitoring ready signal returned by the base station to be accessed to the network; receiving a second monitoring result of a data channel of a base station which has accessed the network, wherein the second monitoring result is returned by the base station which is to be accessed to the network, and comprises a channel number of the data channel and a signal intensity value corresponding to the channel number; and constructing a data model according to the data of the base station which is accessed to the network, the channel number of the broadcast channel and the signal intensity value corresponding to the channel number, the channel number of the data channel and the signal intensity value corresponding to the channel number, training to obtain a channel distribution instruction, and sending the channel distribution instruction to the base station to be accessed to the network.

EXAMPLE five

Fig. 7 is a flowchart of a fifth embodiment of a price tag network channel allocation method according to the present invention, where based on the foregoing embodiment, the sending a broadcast channel monitoring instruction to a base station to be networked includes:

s101, determining a use place to which a base station to be accessed to the network needs to be bound, and generating a short number corresponding to the base station to be accessed to the network according to the place information of the use place.

And S102, sending the short number to the base station to be accessed, and storing the mapping relation between the base station to be accessed and the short number when the base station to be accessed returns the confirmation instruction of the short number.

The method has the advantages that the using place to be bound of the base station to be accessed to the network is determined, and the short number corresponding to the base station to be accessed to the network is generated according to the place information of the using place; and sending the short number to a base station to be accessed to the network, and storing the mapping relation between the base station to be accessed to the network and the short number when the base station to be accessed to the network returns a confirmation instruction of the short number. The price tag network channel allocation scheme is efficient and convenient, timely, stable and dynamic channel allocation is provided for a base station of a price tag network, the success rate of price tag graph pushing is improved, and the price tag product strength is enhanced.

EXAMPLE six

Fig. 8 is a flowchart of a sixth embodiment of the price label network channel allocation method according to the present invention, and based on the above embodiments, the receiving a second monitoring result of the data channel of the network-accessed base station, which is returned by the base station to be accessed to the network, includes:

s301, detecting whether the second monitoring result contains monitoring data of all the base stations which have accessed the network.

S302, if the second monitoring result does not contain the monitored data of all the accessed base stations, sending a data transmission notification to the accessed base stations which do not finish monitoring data transmission again.

Optionally, in this embodiment, when the base station to be networked determines that the base station is ready, the server may notify the base station already networked to perform data transmission.

Optionally, in this embodiment, when the base station to be networked determines that the base station is ready, the server notifies the networked base station to transmit data, and at the same time, the networked base station notifies the server that the base station is busy or ready, and then the networked base station starts to transmit data according to the requirement of the server.

The embodiment has the advantages that whether the second monitoring result contains the monitoring data of all the base stations which have accessed the network is detected; and if the second monitoring result does not contain the monitored data of all the accessed base stations, sending a data transmission notification to the accessed base stations which do not finish monitoring data transmission again. The price tag network channel allocation scheme is efficient and convenient, timely, stable and dynamic channel allocation is provided for a base station of a price tag network, the success rate of price tag graph pushing is improved, and the price tag product strength is enhanced.

EXAMPLE seven

Fig. 9 is a flowchart of a seventh embodiment of the price label network channel allocation method of the present invention, and based on the above embodiment, the sending the channel allocation instruction to a base station to be networked includes:

s501, counting the graph pushing success rate and the noise interference value of the accessed base station in a preset multi-time period, determining the corresponding relation between the graph pushing success rate and the noise interference value, and training the data model to reach a stable state according to the corresponding relation, the graph pushing success rate and the noise interference value.

S502, generating an optimal channel list corresponding to the preset multiple time periods through the data model, and generating a channel allocation instruction of the accessed base station according to the optimal channel list.

Optionally, in this embodiment, for a store scenario, the graph-pushing success rate is increased in an effort to reduce the impact of interference. One scheme is that a server side counts the graph push success rate and the noise interference value in each time period under a base station, and the statistics is given to a big data system for statistics. And then, the server side constructs the relationship between the noise interference value and the graph push success rate in each time period. For a larger fluctuation situation, the server side needs to change a more optimal channel for the corresponding base station in the period. After data of a period of time is accumulated, and the data model and the data training reach a stable state, the server side will issue the optimal channel list of each base station in each period to the base station for use. Therefore, the base station can use the optimal channel in each time period, and the best success rate of the graph push is achieved.

The method has the advantages that the corresponding relation between the graph pushing success rate and the noise interference value is determined by counting the graph pushing success rate and the noise interference value of the accessed base station in a preset multi-period, and the data model is trained to reach a stable state according to the corresponding relation, the graph pushing success rate and the noise interference value; and generating an optimal channel list corresponding to the preset multi-time period through the data model, and generating a channel allocation instruction of the accessed base station according to the optimal channel list. The price tag network channel allocation scheme is efficient and convenient, timely, stable and dynamic channel allocation is provided for a base station of a price tag network, the success rate of price tag graph pushing is improved, and the price tag product strength is enhanced.

Example eight

Fig. 10 is a flowchart of an eighth embodiment of the price label network channel allocation method of the present invention, and based on the above embodiment, the sending the channel allocation instruction to a base station to be networked further includes:

s601, calculating a group of initial channels according to the graph push success rate and the noise interference value, distributing the initial channels to the base stations which have accessed the network, and acquiring a new graph push success rate and a new noise interference value which are returned by the distributed base stations in the preset multi-time period.

S602, constructing a new data model according to the preferred channel, the new graph push success rate and the noise interference value, and training to obtain the preferred channel of the distributed base station in the preset multiple time periods.

Optionally, in this embodiment, also for the above scenario, the server calculates a group of preferred channels to be used by the base station according to the noise interference condition measured when the base station accesses the network and the monitored channel strength, then performs big data statistics according to the graph-pushing success rate of the base station at each time interval, constructs a data model and performs data training, calculates an optimal channel at each time interval, and sends the optimal channel to the base station for use and switching. The two schemes are combined to ensure that the commodity price change in the store can be successful most quickly and stably.

The method has the advantages that a group of initial channels are calculated through the graph push success rate and the noise interference value and are distributed to the base stations which are accessed to the network, and new graph push success rate and the noise interference value returned by the distributed base stations in the preset multi-period are obtained; and constructing a new data model according to the preferred channel, the new graph push success rate and the noise interference value and training to obtain the preferred channel of the distributed base station in the preset multiple time periods. The price tag network channel allocation scheme is efficient and convenient, timely, stable and dynamic channel allocation is provided for a base station of a price tag network, the success rate of price tag graph pushing is improved, and the price tag product strength is enhanced.

Example nine

Based on the above embodiments, the present invention further provides a price tag network channel allocation device, which includes a memory, a processor, and a computer program stored on the memory and operable on the processor, wherein the computer program, when executed by the processor, implements the steps of the price tag network channel allocation method according to any one of the above embodiments.

It should be noted that the device embodiment and the method embodiment belong to the same concept, and specific implementation processes thereof are detailed in the method embodiment, and technical features in the method embodiment are correspondingly applicable in the device embodiment, which is not described herein again.

Example ten

Based on the above embodiment, the present invention further provides a computer-readable storage medium, on which a price tag network channel allocation program is stored, and when being executed by a processor, the price tag network channel allocation program implements the steps of the price tag network channel allocation method according to any one of the above embodiments.

It should be noted that the media embodiment and the method embodiment belong to the same concept, and specific implementation processes thereof are detailed in the method embodiment, and technical features in the method embodiment are correspondingly applicable in the media embodiment, which is not described herein again.

It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.

The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.

Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which is stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal (such as a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present invention.

While the present invention has been described with reference to the embodiments shown in the drawings, the present invention is not limited to the embodiments, which are illustrative and not restrictive, and it will be apparent to those skilled in the art that various changes and modifications can be made therein without departing from the spirit and scope of the invention as defined in the appended claims.

Claims

1. A price tag network channel allocation method is applied to a base station to be accessed to a network, and is characterized by comprising the following steps:

acquiring a first monitoring result of a broadcast channel of a base station which has accessed the network according to a broadcast channel monitoring instruction sent by a server, and returning the first monitoring result to the server, wherein the first monitoring result comprises a channel number of the broadcast channel and a signal intensity value corresponding to the channel number;

acquiring a second monitoring result of a data channel of a base station which is accessed to the network according to a data channel monitoring instruction sent by a server, and returning the second monitoring result to the server, wherein the second monitoring result comprises a channel number of the data channel and a signal intensity value corresponding to the channel number;

receiving a channel allocation instruction sent by the server, wherein the channel allocation instruction is obtained by the server through constructing and training a data model according to the accessed base station data, the channel number of the broadcast channel and the signal intensity value corresponding to the channel number, and the channel number of the data channel and the signal intensity value corresponding to the channel number;

2. The price tag network channel allocation method according to claim 1, wherein the obtaining of the first monitoring result of the broadcast channel of the networked base station according to the broadcast channel monitoring instruction sent by the server previously comprises:

acquiring a short number sent by the server, wherein the short number is an identity generated by the server and used for identifying a base station to be accessed to the network;

3. The price tag network channel allocation method according to claim 2, wherein the calling interface completes channel allocation corresponding to the channel allocation instruction and returns a result of the channel allocation to the server, and then includes:

after the network is accessed according to the channel allocation, acquiring noise interference and channel intensity data, and sending the noise interference and channel intensity data to the server;

4. A price tag network channel allocation method is applied to a server, and is characterized in that the method comprises the following steps:

sending a broadcast channel monitoring instruction to a base station to be accessed to a network, and receiving a first monitoring result of the broadcast channel of the base station to be accessed to the network, wherein the first monitoring result comprises a channel number of the broadcast channel and a signal strength value corresponding to the channel number;

sending a data channel monitoring instruction to a base station to be accessed to the network, and informing the base station which has been accessed to the network to start executing data transmission when receiving a data channel monitoring ready signal returned by the base station to be accessed to the network;

receiving a second monitoring result of a data channel of a base station which has accessed the network, wherein the second monitoring result is returned by the base station which is to be accessed to the network, and comprises a channel number of the data channel and a signal intensity value corresponding to the channel number;

5. The price tag network channel allocation method according to claim 4, wherein the sending of the broadcast channel listening instruction to the base station to be networked comprises:

determining a use place to be bound by a base station to be accessed to the network, and generating a short number corresponding to the base station to be accessed to the network according to the place information of the use place;

6. The price tag network channel allocation method of claim 5, wherein the receiving of the second monitoring result of the data channel of the networked base station returned by the base station to be networked comprises:

detecting whether the second monitoring result contains monitoring data of all the base stations which have accessed the network;

7. The price tag network channel allocation method of claim 6, wherein the sending the channel allocation command to a base station to be networked comprises:

counting a graph pushing success rate and a noise interference value of a base station which is accessed to the network within a preset multi-time period, determining a corresponding relation between the graph pushing success rate and the noise interference value, and training the data model to reach a stable state according to the corresponding relation, the graph pushing success rate and the noise interference value;

8. The price tag network channel allocation method according to claim 7, wherein the sending the channel allocation command to a base station to be networked further comprises:

calculating a group of initial channels according to the graph push success rate and the noise interference value, distributing the initial channels to the base stations which have accessed the network, and acquiring a new graph push success rate and a new noise interference value which are returned by the distributed base stations in the preset multi-period;

9. A price tag network channel allocation device, the device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the computer program when executed by the processor implementing the steps of the price tag network channel allocation method of any one of claims 1 to 3, or 4-8.

10. A computer readable storage medium having stored thereon a price tag network channel assignment program which when executed by a processor implements the steps of the price tag network channel assignment method of any of claims 1-3, or 4-8.