WO2023024752A1

WO2023024752A1 - Network optimization method and apparatus, and electronic device

Info

Publication number: WO2023024752A1
Application number: PCT/CN2022/105945
Authority: WO
Inventors: 谭荣港
Original assignee: 深圳市欧瑞博科技股份有限公司
Priority date: 2021-08-23
Filing date: 2022-07-15
Publication date: 2023-03-02
Also published as: CN113691935A

Abstract

The present application relates to the technical field of communications. Disclosed are a network optimization method and apparatus, and an electronic device. The method comprises: acquiring a location tag of a first intelligent gateway as first location information; acquiring respective location tags of all sub-devices connected to the first intelligent gateway as second location information, wherein there are a plurality of pieces of second location information; if second location information that does not match the first location information is present in the plurality of pieces of second location information, determining a sub-device to be optimized from all the sub-devices; and determining a second intelligent gateway corresponding to the sub-device to be optimized, and migrating the sub-device to be optimized from the first intelligent gateway to the second intelligent gateway. Automatic optimization of network communication capability is implemented by means of automatic migration of sub-devices, thereby improving the timeliness, stability, and disaster tolerance capability of network communications.

Description

Network optimization method, device and electronic equipment

technical field

The present application relates to the technical field of communications, and more specifically, to a network optimization method, device and electronic equipment.

Background technique

Communication technologies such as ZigBee, Bluetooth, 6LOWPAN, and Wireless Fidelity (WIFI for short) have the characteristics of low power consumption, short distance, low speed, and low cost, and are generally used to build networks in small-scale spaces, such as Family, hotel, office building, factory and other scenes. With the popularity of the Internet of Things and smart homes, more and more sub-devices (such as switches, sensors, lights, etc.) Connect and mount multiple sub-devices under the same gateway. However, in the prior art, after the sub-devices subordinate to the gateway are connected, when the communication capability of the sub-devices is poor, the communication link of the sub-devices will not be updated, resulting in that the communication capability of the network cannot be optimized.

Contents of the invention

In view of the above problems, the present application proposes a network optimization method, device and electronic equipment, which can solve the above problems.

In the first aspect, the embodiment of the present application provides a network optimization method, the method comprising: obtaining the location label of the first intelligent gateway as the first location information; obtaining the respective The location tag is used as the second location information, wherein the number of the second location information is multiple; if there is second location information that does not match the first location information in the plurality of second location information, then from the Determine the sub-device to be optimized among all the sub-devices; determine the second intelligent gateway corresponding to the sub-device to be optimized, and migrate the sub-device to be optimized from the first intelligent gateway to the second intelligent gateway.

In a second aspect, an embodiment of the present application provides a network optimization device, the device comprising: a first location information acquisition module, configured to acquire the location tag of the first intelligent gateway as the first location information; a second location information acquisition module , used to obtain the respective location labels of all sub-devices connected to the first intelligent gateway as the second location information, wherein the number of the second location information is multiple; If there is second position information that does not match the first position information in the second position information, then determine the sub-device to be optimized from all the sub-devices; the migration module is used to determine the second corresponding to the sub-device to be optimized An intelligent gateway, for migrating the sub-device to be optimized from the first intelligent gateway to the second intelligent gateway.

In a third aspect, the embodiment of the present application provides an electronic device, including: one or more processors; memory; one or more application programs, wherein the one or more application programs are stored in the memory and Configured to be executed by the one or more processors, the one or more application programs are configured to perform the above method.

A network optimization method, device, and electronic device provided by the present application obtain the location label of the first intelligent gateway as the first location information, and obtain the respective location labels of all sub-equipment connected to the first intelligent gateway as the second location information, Wherein, the number of the second location information is multiple; if there is second location information that does not match the first location information in the plurality of second location information, then determine the sub-device to be optimized from all sub-devices; determine the sub-device to be optimized The second smart gateway corresponding to the sub-device migrates the sub-device to be optimized from the first smart gateway to the second smart gateway. Through the automatic migration of the sub-device, the automatic optimization of the network communication capability is realized, and the timeliness and stability of the network communication are improved. performance and disaster tolerance.

These or other aspects of the present application will be more concise and understandable in the description of the following embodiments.

Description of drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings that need to be used in the description of the embodiments will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present application. For those skilled in the art, other drawings can also be obtained based on these drawings without any creative effort.

FIG. 1 shows a block diagram of a network optimization system provided by an embodiment of the present application;

FIG. 2 shows a schematic flowchart of a network optimization method provided by an embodiment of the present application;

FIG. 3 shows a schematic flowchart of a network optimization method provided by another embodiment of the present application;

FIG. 4 shows a schematic flowchart of step S230 of the network optimization method shown in FIG. 3 of the present application;

FIG. 5 shows a schematic flowchart of a network optimization method provided by another embodiment of the present application;

FIG. 6 shows a schematic flowchart of a network optimization method provided by another embodiment of the present application;

FIG. 7 shows a schematic flowchart of a network optimization method provided by another embodiment of the present application;

Fig. 8 shows a block diagram of a network optimization device provided by an embodiment of the present application;

FIG. 9 is a block diagram of an electronic device for executing a network optimization method according to an embodiment of the present application according to an embodiment of the present application;

FIG. 10 shows a storage unit used to store or carry program codes for implementing the network optimization method according to the embodiment of the present application according to the embodiment of the present application.

Detailed ways

The following will clearly and completely describe the technical solutions in the embodiments of the application with reference to the drawings in the embodiments of the application. Apparently, the described embodiments are only some of the embodiments of the application, not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of this application.

In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiment of the application will be clearly and completely described below in conjunction with the accompanying drawings in the embodiment of the application. Obviously, the described embodiment is only It is a part of the embodiments of this application, not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of this application.

ZigBee, BLE, 6LOWPAN, WIFI and other personal area network communication technologies have the characteristics of low power consumption, short distance, low speed, and low cost. They are generally used to build networks in small-scale spaces, such as homes, hotels, office buildings, factories, etc. Scenes. With the popularity of the Internet of Things and smart homes, more and more sub-devices (such as switches, sensors, lights, etc.) Connect and mount multiple sub-devices under the same gateway. However, in the prior art, after the sub-devices subordinate to the gateway are connected, when the communication capability of the sub-devices is poor, the communication link of the sub-devices will not be updated, so the communication capability of the gateway cannot be optimized.

Moreover, although the above-mentioned technology development route is widely used, it will greatly increase the complexity of building a wireless Mesh network. The relationship between sub-devices and gateways in the network topology needs to be designed in advance, and the network needs to be established in the agreed order. Gateways cannot start networking at the same time, otherwise the expected network topology cannot be formed. In addition, in order to facilitate the user to quickly complete the network adding action, the sub-device will be in the free network adding state once it is powered on. As long as any gateway within the signal coverage area starts the network adding permission, the device will automatically join the network, and the sub-device The affiliation relationship with the gateway is difficult to determine or specify, which brings inconvenience to on-site construction or maintenance, and takes a long time to build a network and is prone to errors. Usually, in order to save networking time, the installers open the gateway networking function at the same time, allowing the sub-devices to freely network. Although it does not affect the normal use of customers, it lays the groundwork for the timeliness, stability, and disaster recovery capabilities of later network communications. Hidden danger.

In view of the above technical problems, the inventor discovered and proposed a network optimization method, device and electronic equipment after long-term research, which obtains the location tag of the first intelligent gateway as the first location information, and obtains all sub-networks connected to the first intelligent gateway. The respective location tags of the devices are used as the second location information, wherein the number of the second location information is multiple; if there is a second location information that does not match the first location information among the multiple second location information, all Determine the sub-device to be optimized in the device; determine the second intelligent gateway corresponding to the sub-device to be optimized, migrate the sub-device to be optimized from the first intelligent gateway to the second intelligent gateway, and realize the automatic network communication capability through the automatic migration of the sub-device Optimization improves the timeliness, stability and disaster recovery capability of network communication, and migrates the sub-device to the corresponding second smart gateway, so that the sub-device belongs to the corresponding smart gateway, ensuring the affiliation between the sub-device and the gateway. It brings convenience for later construction and maintenance. Wherein, the specific network optimization method is described in detail in the subsequent embodiments.

In order to facilitate the understanding of the following methods, this embodiment first shows a possible implementation of a network optimization system, please refer to (a) in Figure 1, the network optimization system includes a server 1, a first intelligent gateway 2, The second intelligent gateway 3 , the first sub-device 4 , the second sub-device 5 , the third sub-device 6 , the fourth sub-device 7 and the fifth sub-device 8 . The server 1 is connected with the first intelligent gateway 2 and the second intelligent gateway 3 respectively, and the first intelligent gateway 2 and the second intelligent gateway 3 communicate through the server 1; the first sub-device 4, the second sub-device 5, and the third sub-device 6 and the fourth sub-device 7 belong to the first intelligent gateway 2, and form a subnetwork together with the first intelligent gateway 2, for example, the subnetwork can be a Mesh subnetwork, the first subdevice 4, the second subdevice 5 and The third sub-device 6 is connected with the first intelligent gateway 2 respectively, and the fourth sub-device 7 is connected with the first intelligent gateway 2 through the first sub-device 4; the fifth sub-device 7 belongs to the second intelligent gateway 3, and the fifth sub-device 7 and the second intelligent gateway 3 together form a subnetwork, for example, the subnetwork may be a Mesh subnetwork. Here, the server, intelligent gateway and sub-devices have completed the rapid networking.

When optimizing the network, when the fourth sub-device 7 is a sub-device to be optimized, the fourth sub-device 7 migrates from the first intelligent gateway 1 to the second intelligent gateway 2, and the migrated network is shown in (b) in Figure 1 shown.

Wherein, the server 1 may be a cloud server, or a pre-deployed local server, which is not limited here. The first intelligent gateway 2 and the second intelligent gateway 3 may be independent intelligent gateways, or may be intelligent control panels with gateway functions.

It should be noted that the network optimization system is not limited to the above two intelligent gateways, but may also include more intelligent gateways, such as three, four, five, and so on. The number of sub-devices subordinate to each intelligent gateway is not limited to the above-mentioned 1 or 4, and there may be more or less sub-devices, such as 2, 5, 7 and so on.

The server manages and controls multiple intelligent gateways, and all gateways back up data to the server, and the version number of the data is the first version number. As an implementation, multiple intelligent gateways have a cascading relationship, that is, there is a master gateway among the multiple intelligent gateways, and the rest of the intelligent gateways are slave gateways. When the server exits the network, or the resources of the server are used to process other events , at this time, the master gateway can control all slave gateways. For example, when confirming network optimization, the main gateway determines the sub-devices to be optimized in all sub-networks, and controls the sub-devices to be optimized to migrate. When the server is re-linked to the network, or after processing other events, the main gateway will synchronize new data to the server, and the server will compare the data stored by itself with the data synchronized by the main gateway. If there is differential data between the two, it will be based on the main gateway The synchronized data updates the previously stored data in the server, otherwise, the data in the server does not need to be updated. As an implementation, after the main gateway saves new self-data and the data that the gateway actively backs up to the main gateway, it determines that the version number of the data is the second version number, and the main gateway synchronizes the data of the second version number to the server, The version number of the data stored by the server itself is the first version number. The server compares the first version number with the second version number of the data synchronized by the master gateway. If the first version number is the same as the second version number, it is determined that the server exits the network Or when processing other events, all gateway data are not updated, in order to avoid duplicate data occupying the memory of the server, delete the data of the first version number or the data of the second version number; if the first version number and the second version number If not, the data of the gateway is updated, the data corresponding to the first version is deleted, and the data of the second version number is stored, so as to prevent the problem that the server cannot control the smart gateway.

Fig. 2 shows a schematic flowchart of a network optimization method provided by an embodiment of the present application, which is used to realize the optimization process from (a) to (b) in Fig. 1 above. In a specific embodiment, the The network optimization method described above is applied to the network optimization system, the server 1 or the first intelligent gateway 2 as shown in Figure 1, the network optimization device 100 shown in Figure 8 and the electronic equipment configured with the network optimization device 100 as shown in Figure 12 200. This embodiment will take the application of the network optimization method to the server 1 as an example to illustrate the specific process of this embodiment. The process shown in Figure 2 will be described in detail below, and the network optimization method may specifically include the following steps:

Step S110, acquiring the location tag of the first intelligent gateway as the first location information.

According to the actual location of the room or floor in advance, different location tags are calibrated for different rooms or floors, and the corresponding location tag is obtained as the first location information according to the location of the first intelligent gateway. Optionally, the first location information may include floors, such as 10F, 15F, etc. The first location information may also include room numbers or room attributes, for example, room numbers are 301, 302, etc., and the room attributes are master bedroom, living room, etc. Kitchen, study, etc.

In one embodiment, after receiving the network optimization instruction, the step of network optimization is performed, and the location label of the first intelligent gateway is acquired as the first location information. Wherein, the network optimization instruction may be manually triggered by the user, or may be automatically generated when the locations of multiple sub-devices change, or may be automatically triggered according to a preset time interval.

Step S120. Acquire location tags of all sub-devices connected to the first intelligent gateway as second location information, where the number of the second location information is multiple.

The first intelligent gateway is connected to a plurality of sub-devices, and the first intelligent gateway and the sub-devices connected thereto form a sub-network, for example, the formed sub-network is a Mesh sub-network. According to the respective locations of all sub-devices, the respective location tags of all sub-devices below the first intelligent gateway are acquired as the second location information. Likewise, the second location information may include floors, for example, 10F, 15F, etc., and the second location information may also include room numbers, for example, 301, 407, and so on.

Step S130, if there is second location information that does not match the first location information among the plurality of second location information, determine the sub-device to be optimized from all the sub-devices.

If each second location information in the plurality of second location information matches the first location information, on the premise that the affiliation relationship between the sub-devices and the first intelligent gateway is established according to the location information, all sub-devices and the first intelligent gateway The affiliation relationship is reasonable, that is to say, all sub-devices under the first intelligent gateway are in the same area as the first intelligent gateway, then in general, the communication performance of the Mesh subnetwork corresponding to the first intelligent gateway can be defaulted good.

It should be noted that the affiliation relationship between the sub-devices and the first intelligent gateway is established according to the location information, that is, according to the location information of multiple sub-devices and the location information of the first intelligent gateway, the sub-devices in the same area are subordinate to the sub-devices in the area. Smart Gateway.

If there is second location information that does not match the first location information in the plurality of second location information, the affiliation relationship between the sub-device and the first intelligent gateway may be unreasonable, for example, there is a sub-device whose location has changed in the sub-network, For another example, the sub-devices subordinate to the first intelligent gateway may be located far away from the first intelligent gateway. network as the subnetwork to be optimized.

In one embodiment, when the second location information is the same as the first location information, it is considered that the first location information matches the second location information, that is, the sub-device and the first smart gateway are on the same floor or in the same room . For example, when the first location information is floor 15F and the second location information is floor 15F, it is determined that the first location information matches the second location information; for another example, when the first location information is room number 303, the second location information When the room number is 303, it is determined that the first location information matches the second location information.

Conversely, when the first location information is different from the second location information, it is considered that the first location information does not match the second location information. For example, when the first location information is floor 13F and the second location information is floor 15F, it is determined that the first location information does not match the second location information; for another example, when the first location information is room number 303, the second location information When the information is the room number 305, it is determined that the first location information does not match the second location information.

When it is determined that the Mesh sub-network corresponding to the first intelligent gateway is the sub-network to be optimized, the sub-device to be optimized is determined from all sub-devices in the sub-network. In an implementation manner, sub-devices whose second location information does not match the first location information among the plurality of sub-devices are used as sub-devices to be optimized, and the sub-devices to be optimized are optimized, so that the sub-network can be quickly optimized.

In another implementation manner, the sub-devices whose second location information does not match the first location information are used as candidate sub-devices, and among the candidate sub-devices, those with poor communication capabilities are determined as sub-devices to be optimized.

In another embodiment, after it is determined that the sub-device whose second location information does not match the first location information is set as an alternative sub-device, it is determined whether there is a sub-device whose first location information matches the second location information of the alternative sub-device. The intelligent gateway, if there is, takes the candidate sub-device as the sub-device to be optimized, and if not, determines that the candidate sub-device does not need to be optimized.

Step S140, determining a second intelligent gateway corresponding to the sub-device to be optimized, and migrating the sub-device to be optimized from the first intelligent gateway to the second intelligent gateway.

Determine the second intelligent gateway in all sub-networks. As a method, obtain the location information corresponding to each of the multiple intelligent gateways. Among the multiple intelligent gateways, determine the intelligent gateway whose location information matches the second location information of the sub-device to be optimized. The gateway serves as the second intelligent gateway.

In one embodiment, the second intelligent gateway corresponding to the sub-device to be optimized is determined, and the sub-device to be optimized is directly migrated from the first intelligent gateway to the next second intelligent gateway. After the migration, the sub-device to be optimized belongs to the second Smart Gateway. Wherein, the location information corresponding to the second intelligent gateway matches the second location information determined to be optimized for the sub-device.

In another implementation manner, the second intelligent gateway corresponding to the sub-device to be optimized is determined. The prompt message "Please confirm whether to perform network optimization" can be displayed, and the migration selection control can be displayed, wherein the migration selection control is an interactive control for the user to perform migration confirmation input. Optionally, on the control panel of the first intelligent gateway Display the migration selection control, or display the migration selection control on the user's computer, mobile terminal and other electronic devices. When a migration instruction triggered based on the migration selection control is received, the sub-device to be optimized is migrated from the first intelligent gateway to the second intelligent gateway.

Optionally, when the second intelligent gateway corresponding to the sub-device to be optimized is faulty, the user may manually migrate the sub-device to be optimized to the first intelligent gateway. Therefore, while the migration selection control is displayed, the migration ignore control can also be displayed , when the user receives an ignore instruction triggered based on the migration ignore control, the connection relationship between the sub-device to be optimized and the first intelligent gateway is maintained, ensuring that the sub-device to be optimized can smoothly access the network.

In the network optimization method provided in this embodiment, when it is judged that there is second location information that does not match the first location information corresponding to the first intelligent gateway among the second location information corresponding to multiple sub-devices, it is determined from all sub-devices to be optimized Sub-devices, and then automatically migrate the sub-devices to be optimized from the first intelligent gateway to the second intelligent gateway. Through the automatic migration of sub-devices, the automatic optimization of network communication capabilities is realized, making the gateway and corresponding sub-devices easier to manage, thereby improving The timeliness and stability of network communication.

Optionally, FIG. 3 shows a schematic flowchart of a network optimization method provided in another embodiment of the present application. Please refer to FIG. 3. The network optimization method may specifically include the following steps:

Step S210, acquiring the location tag of the first intelligent gateway as the first location information.

Step S220. Acquire location tags of all sub-devices connected to the first intelligent gateway as second location information, where the number of the second location information is multiple.

Wherein, for the specific description of step S210-step S220, please refer to step S110-step S120, which will not be repeated here.

Step S230, if there is second location information that does not match the first location information in the plurality of second location information, take the sub-device whose location information does not match among all the sub-devices as the to-be-optimized child device.

If there is second location information that does not match the first location information in the plurality of second location information, then use the sub-device whose location information does not match among all the sub-devices as the sub-device to be optimized. On the one hand, only Optimizing the sub-devices to be optimized can improve the efficiency of network optimization. On the other hand, migrating and optimizing the sub-devices whose location information does not match, adjusting all devices to gateway connections consistent with the location information, and building sub-networks can Improve the disaster recovery capability of the entire environment, that is, when the gateway fails, it will only affect the control operation of the device corresponding to the location information, and will not interfere with the control of other devices.

In one embodiment, FIG. 4 shows a schematic flowchart of step S230 of the network optimization method shown in FIG. 3 of the present application. Please refer to FIG. 4, step S230 includes the following sub-steps:

Sub-step S231, if there is the second location information that does not match the first location information in the plurality of second location information, use the sub-device whose location information does not match among all the sub-devices as a candidate child device.

If there is second location information that does not match the first location information, among all sub-devices, the sub-devices that do not match are used as candidate sub-devices. It can be understood that the candidate sub-devices may be sub-devices that need to be optimized. device, possibly a sub-device that does not need to be optimized. Wherein, the number of candidate sub-devices may be one or more.

Sub-step S232, acquiring device information of the candidate sub-device, wherein the device information includes sub-network information, or sub-network information and location matching information.

Optionally, the subnetwork information includes signal strength, and/or, link layer levels, and/or, number of sub-devices. Wherein, the signal strength may represent the ability of the candidate sub-device in the sub-network to receive signals, for example, the signal strength is -30dbm (signal strength unit, decibel milliwatt). The link level represents the distance between the candidate device and the first intelligent gateway in the sub-network. For example, the link level may be layer 2, that is, the candidate device is connected to the first intelligent gateway through a sub-device. The number of sub-devices represents the total number of sub-devices in the sub-network where the candidate device is located. The number of devices is 1.

Sub-step S233, calculating the evaluation value of the candidate sub-device in the sub-network to which it belongs according to the device information.

There are multiple pieces of equipment information, weights corresponding to the pieces of equipment information are acquired, and evaluation values of candidate sub-equipments in the sub-network to which they belong are calculated according to each piece of equipment information and their corresponding weights.

In one embodiment, when the device information includes sub-network information, and the sub-network information includes signal strength, link level number and number of sub-devices, obtain sub-scores corresponding to signal strength, link level number and number of sub-devices, for example, Set the sub-scores corresponding to the signal strength of different intervals in advance. When the signal strength is obtained, the sub-scores are obtained for the intervals corresponding to the signal strength of the sub-device. Set different sub-scores for different link layer levels in advance to obtain the sub-device The sub-score corresponding to the number of link levels, pre-set the sub-score corresponding to the number of sub-devices, obtain the sub-score corresponding to the number of devices in the sub-network where the sub-device is located; then obtain the first weight corresponding to the sub-score degree of signal strength, link level The second weight corresponding to the sub-score of the number of sub-scores, and the third weight corresponding to the sub-score of the number of sub-devices; product, and the product of the sub-score of the number of sub-device and the third weight, calculate the sum of the above three products, and obtain the evaluation value of the sub-device in the current sub-network.

In another embodiment, when the device information includes sub-network information and location matching information, and the sub-network information includes signal strength, link level number and number of sub-devices, the signal strength, link level number, number of sub-devices and location are acquired The sub-scores corresponding to each of the matching information, wherein the sub-scores corresponding to each of the plurality of location matching information are preset, and when the location matching information of the sub-device is obtained, the corresponding sub-scores are obtained, wherein the first location information is the 7th floor, the second If the second location information is the 8th floor, the location matching information indicates that the two locations do not match and the floors are one floor apart, and the corresponding sub-score is obtained; then the first weight corresponding to the sub-score of signal strength and the corresponding sub-score of the link layer level are obtained. The second weight corresponding to the second weight of the sub-score of the sub-device quantity, and the fourth weight corresponding to the sub-score of the location matching information; according to the product of the sub-score of the signal strength and the first weight, the link layer level The product of the sub-score and the second weight, the product of the sub-score of the number of sub-equipment and the third weight, and the product of the sub-score of the position matching information and the fourth weight, calculate the sum of the above four products, and obtain the evaluation value.

Sub-step S234 , selecting a sub-device whose evaluation value is smaller than a preset threshold from the candidate sub-device as the sub-device to be optimized.

When the number of candidate sub-devices is multiple, correspondingly, the number of evaluation values obtained is also multiple. When there is an evaluation value smaller than the preset threshold among the multiple evaluation values, the corresponding As a sub-device to be optimized, it can be understood that the location of the sub-device to be optimized does not match the location of the first intelligent gateway, the distance between the two may be far, and the communication capability of the sub-device to be optimized Poor, migrate the sub-device to be optimized. There is an evaluation value greater than the preset threshold among the multiple evaluation values, and the location of the candidate device corresponding to the evaluation value may be different from the location of the first intelligent gateway, but the communication capability of the candidate device is still acceptable, so , do not optimize for this alternative device.

Step S240, determining a second intelligent gateway corresponding to the sub-device to be optimized, and migrating the sub-device to be optimized from the first intelligent gateway to the second intelligent gateway.

Wherein, for the specific description of step S240, please refer to step S140, which will not be repeated here.

In the network optimization method provided in this embodiment, when it is determined that there is second location information that does not match the first location information corresponding to the first intelligent gateway among the second location information corresponding to multiple sub-devices, determine the sub-devices whose locations do not match as For the candidate sub-device, it can be understood that the position of the candidate device is different from that of the first intelligent gateway, and the distance between the two may be relatively long. The candidate sub-device whose value is less than the preset threshold is regarded as the sub-device to be optimized. It is understandable that the communication capability of the sub-device to be optimized is poor, and the sub-device to be optimized with poor communication capability is migrated to the second intelligent gateway to complete the network optimization, improve network performance, and avoid the migration of candidate sub-devices with better communication capabilities whose evaluation values are greater than the preset value, resulting in waste of computing resources.

Optionally, FIG. 5 shows a schematic flowchart of a network optimization method provided in another embodiment of the present application. Please refer to FIG. 5. The network optimization method may specifically include the following steps:

Step S310, acquiring the location label of the first intelligent gateway as the first location information.

Step S320. Acquire location tags of all sub-devices connected to the first intelligent gateway as second location information, where the number of the second location information is multiple.

Step S330, if there is second location information that does not match the first location information among the plurality of second location information, determine the sub-device to be optimized from all the sub-devices.

Wherein, for the specific description of step S310-step S330, please refer to step S110-step S130, which will not be repeated here.

Step S340, acquiring the device identification of the sub-device to be optimized.

Optionally, the device identifier may be a Media Access Control Address (Media Access Control Address, MAC for short), a Universally Unique Identifier (UUID for short), etc.

Step S350, sending the device identifier to the second intelligent gateway to instruct the second intelligent gateway to be connected to the sub-device to be optimized.

The device identifier is sent to the second intelligent gateway to instruct the second intelligent gateway to connect with the sub-device to be optimized corresponding to the device identifier, and complete the network migration.

In an implementation manner, when performing network migration, the first intelligent gateway collects device identifiers of sub-devices to be optimized. The device identification is sent to the second intelligent gateway through the server, and a virtual sub-device to be optimized is added under the second intelligent gateway. The parameters of the virtual sub-device to be optimized are consistent with the parameters of the sub-device to be optimized. The second intelligent The gateway stores the device identifier in its own white list, and opens the networking mode of the white list. In this networking mode, the second intelligent gateway can receive the newly added sub-device. The first intelligent gateway instructs the sub-device to be optimized to connect to the second intelligent gateway, and releases the sub-device to be optimized. The optimization sub-device can request to connect with other intelligent gateways, and join the sub-networks corresponding to other intelligent gateways. The sub-device to be optimized sends a networking request to the second intelligent gateway, wherein the networking request carries the device identifier of the sub-device to be optimized. When the second intelligent gateway judges that the device ID carried in the networking request is the same as the device ID in the white list, it allows the sub-device to be optimized to enter the network, configures the sub-device to be optimized according to the parameters, and completes the network migration of the sub-device to be optimized .

It should be noted that when the sub-device to be optimized is migrated, when the first intelligent gateway releases the sub-device to be optimized, the parameter information of the sub-device to be optimized stored in the first intelligent gateway can be deleted, so that the available Increased memory. Alternatively, when the sub-device to be optimized is migrated to the second intelligent gateway, the second intelligent gateway, the server, or the sub-device to be optimized may feed back an indication of the completion of the migration to the first intelligent gateway, and after the first intelligent gateway receives the indication, Then delete the stored parameter information of the sub-device to be optimized. If no indication of the end of the migration is received within the preset time period, the first intelligent gateway will send the parameter information to the second intelligent gateway again until the indication of the end of the migration is received. , which not only ensures that the sub-device to be optimized can be migrated to the second intelligent gateway smoothly, but also can release the available memory of the first intelligent gateway in time.

The network optimization method provided in this embodiment obtains the device ID of the sub-device to be optimized and sends it to the second intelligent gateway. optimization.

Optionally, FIG. 6 shows a schematic flowchart of a network optimization method provided in another embodiment of the present application. Please refer to FIG. 6. The network optimization method may specifically include the following steps:

Step S410, acquiring the location tag of the first intelligent gateway as the first location information.

Step S420. Acquire location tags of all sub-devices connected to the first intelligent gateway as second location information, where the number of the second location information is multiple.

Step S430, if there is second location information that does not match the first location information among the plurality of second location information, determine the sub-device to be optimized from all the sub-devices.

Step S440: Determine the second intelligent gateway corresponding to the sub-device to be optimized, and migrate the sub-device to be optimized from the first intelligent gateway to the second intelligent gateway.

Wherein, for the specific description of step S410-step S430, please refer to step S110-step S140, which will not be repeated here.

Step S450, after the sub-device to be optimized is migrated to the second intelligent gateway, it is judged whether the migration operation is a valid migration.

After the sub-device to be optimized is migrated to the second intelligent gateway, in order to verify the result of network optimization, that is, to verify that the sub-device to be optimized is migrated to the second intelligent gateway, the location information of the sub-device to be optimized is consistent with the second Whether the location information of the intelligent gateway matches, or whether the network status of the sub-device to be optimized after migration is improved, determines whether the migration operation is an effective migration, and when the network optimization is an effective migration, it is determined that the network optimization is over; or, when the migration operation is not When migrating effectively, execute the following step S460.

In one embodiment, after the optimized sub-device is migrated to the second intelligent gateway, the evaluation value of the Mesh subnetwork belonging to the second intelligent gateway can be calculated. In one embodiment, when the evaluation value is less than the preset threshold , it is considered that the migration operation is an invalid migration, and the sub-device to be optimized needs to continue to be migrated; when the evaluation value is greater than the preset threshold, the migration operation is considered as a valid migration, and the network optimization is determined to be completed. In another implementation, the evaluation value of this embodiment is compared with the evaluation value before migration in the above embodiment, and when the evaluation value of this embodiment is smaller than the evaluation value in the above embodiment, it is considered that the migration of the sub-device to be optimized After the network status has not been improved, the migration is an invalid migration, and the sub-device to be optimized needs to continue to migrate (for example, migrate back to the previous sub-network); when the evaluation value of this embodiment is greater than the evaluation value in the above-mentioned embodiment, Then it is considered that the network status is improved after the sub-device to be optimized is migrated, the migration operation is effective migration, and it is determined that the network optimization is completed.

Optionally, in this embodiment, the calculation method of the evaluation value of the Mesh subnetwork subordinate to the second intelligent gateway is similar to the calculation method of the evaluation value in the previous embodiment, and will not be repeated here.

In another embodiment, the location label of the second intelligent gateway is obtained as the third location information. When the second location information does not match the third location information, the migration operation is considered to be an invalid migration, and the sub-device to be optimized needs to be Continue the migration; when the second location information matches the third location information, it is considered that the migration operation is a valid migration, and the network optimization ends.

Step S460, if not, re-determine the target gateway corresponding to the sub-device to be optimized, and perform a relocation operation.

Wherein, the specific steps of performing the migration operation are similar to step S110-step S140, and will not be repeated here.

In the network optimization method provided in this embodiment, after the sub-device to be optimized is migrated from the first intelligent gateway subordinate to the second intelligent gateway, when it is judged that the migration is invalid In the sub-network, the communication capability is still poor, continue to migrate the sub-devices to be optimized until the migration is effective, and finally realize the automatic optimization of the network, improve the communication capability of the smart gateway to be migrated, and ensure the timeliness and stability of the entire network communication sex.

Optionally, FIG. 7 shows a schematic flowchart of a network optimization method provided in another embodiment of the present application. Please refer to FIG. 7. The network optimization method may specifically include the following steps:

Step S510, acquiring the location tag of the first intelligent gateway as the first location information.

Step S520. Acquire location labels of all sub-devices connected to the first intelligent gateway as second location information, where the number of the second location information is multiple.

Step S530, if there is second location information that does not match the first location information among the plurality of second location information, determine the sub-device to be optimized from all the sub-devices.

Step S540: Determine the second intelligent gateway corresponding to the sub-device to be optimized, and migrate the sub-device to be optimized from the first intelligent gateway to the second intelligent gateway.

Step S550, acquiring configuration information of the sub-device to be optimized.

Obtain the configuration information of the sub-device to be optimized. The configuration information is used to configure the parameters and working status of the sub-device to be optimized. For example, the sub-device to be optimized is a smart air conditioner. closes when.

In one embodiment, the configuration information can be obtained from the sub-device to be optimized, specifically, the sub-device to be optimized is configured and stored in the sub-device, the sub-device to be optimized sends the configuration information to the first intelligent gateway, and through the first intelligent The gateway forwards configuration information to the server.

In another embodiment, the configuration information can be obtained from the first intelligent gateway, specifically, the user configures the sub-device to be optimized and generates configuration information, and the sub-device to be optimized sends the generated configuration information to the first intelligent gateway storage, and the first intelligent gateway controls the sub-device to be optimized according to the configuration information. The server may acquire configuration information from the storage location of the first intelligent gateway.

Optionally, in addition to the configuration information, application data and history records of the sub-device to be optimized can also be obtained.

Step S560, sending the configuration information to the second intelligent gateway, so as to instruct the second intelligent gateway to configure the sub-device to be optimized according to the configuration information.

The configuration information is sent to the second intelligent gateway, and the second intelligent gateway configures the sub-device to be optimized according to the configuration information, so as to ensure that the function of the sub-device to be optimized is normal after migration.

Optionally, the second intelligent gateway can also configure the sub-device to be optimized according to the application data and historical records, so as to ensure that the original information of the sub-device to be optimized remains unchanged, and the normal use of the sub-device to be optimized will not be affected after migration.

In the network optimization method provided in this embodiment, when the sub-device to be optimized is migrated from the subordinate first intelligent gateway to the second intelligent gateway, the second intelligent gateway configures the sub-device to be optimized according to the configuration information sent by the first intelligent gateway, After the network migration, when the sub-device to be optimized belongs to the second intelligent gateway, the original function can still be executed, which ensures that the sub-device to be optimized can work normally.

In order to implement the above-mentioned method embodiments, this embodiment provides a network optimization device. FIG. 8 shows a block diagram of a network optimization device provided by an embodiment of the present application. Please refer to FIG. 8. The network optimization 100 includes: first location information An acquisition module 110 , a second location information acquisition module 120 , a determination module 130 and a migration module 140 .

The first location information obtaining module 110 is used to obtain the location tag of the first intelligent gateway as the first location information;

The second location information acquiring module 120 is configured to acquire location tags of all sub-devices connected to the first intelligent gateway as second location information, wherein the number of the second location information is multiple;

A determining module 130, configured to determine a sub-device to be optimized from all sub-devices if there is second position information that does not match the first position information among the plurality of second position information;

The migration module 140 is configured to determine a second intelligent gateway corresponding to the sub-device to be optimized, and migrate the sub-device to be optimized from the first intelligent gateway to the second intelligent gateway.

Optionally, the determining module 130 includes: a determining submodule.

A determining submodule, configured to, if there is second location information that does not match the first location information in the plurality of second location information, use the sub-device whose location information does not match among all the sub-devices as the all sub-devices Describe the sub-device to be optimized.

Optionally, the determination sub-module includes: a candidate sub-device determination sub-module, a device information acquisition sub-module, an evaluation value calculation sub-module, and a sub-device determination sub-module to be optimized.

An alternative sub-device determination submodule, configured to, if there is the second position information that does not match the first position information in the plurality of second position information, identify the mismatching position information in all the sub-device The sub-device of is used as an alternative sub-device;

A device information acquiring submodule, configured to acquire device information of the candidate sub-device, wherein the device information includes sub-network information, or sub-network information and location matching information;

An evaluation value calculation submodule, configured to calculate the evaluation value of the candidate sub-device in the sub-network to which it belongs according to the device information;

The sub-device determination submodule to be optimized is configured to select a sub-device whose evaluation value is smaller than a preset threshold from the candidate sub-device as the sub-device to be optimized.

Optionally, the subnetwork information includes signal strength, and/or, link layer levels, and/or, number of sub-devices.

Optionally, the migration module 140 includes: a device identification acquisition submodule and a first migration submodule.

The device identification obtaining submodule is used to obtain the device identification of the sub-device to be optimized;

The first migration submodule is configured to send the device identifier to the second intelligent gateway, so as to instruct the second intelligent gateway to connect with the sub-device to be optimized.

Optionally, the network optimization 100 further includes: a configuration information acquisition module and a configuration module.

A configuration information acquisition module, configured to acquire configuration information of the sub-device to be optimized;

A configuration module, configured to send the configuration information to the second intelligent gateway, to instruct the second intelligent gateway to configure the sub-device to be optimized according to the configuration information.

Optionally, the network optimization 100 further includes: a migration judging module and a re-migration module.

A migration judging module, configured to judge whether the migration operation is a valid migration after the sub-device to be optimized is migrated to the second intelligent gateway;

The re-migration module is configured to, if not, re-determine the target gateway corresponding to the sub-device to be optimized, and perform a relocation operation.

Optionally, the migration module 140 includes: a migration target determination submodule, a display submodule and a second migration submodule.

A migration target determination submodule, configured to determine the second intelligent gateway corresponding to the sub-device to be optimized;

The display submodule is used to display the migration selection control;

The second migration submodule is configured to migrate the sub-device to be optimized from the first intelligent gateway to the second intelligent gateway when receiving a migration instruction triggered based on the migration selection control.

Those skilled in the art can clearly understand that for the convenience and brevity of the description, the specific working process of the devices and modules described above can refer to the corresponding process in the foregoing method embodiments, which will not be repeated here.

In several embodiments provided in the present application, the coupling between the modules may be electrical, mechanical or other forms of coupling.

In addition, each functional module in each embodiment of the present application may be integrated into one processing module, each module may exist separately physically, or two or more modules may be integrated into one module. The above-mentioned integrated modules can be implemented in the form of hardware or in the form of software function modules.

FIG. 9 is a block diagram of an electronic device for executing a network optimization method according to an embodiment of the present application. Please refer to FIG. 9 , which shows a structural block diagram of an electronic device 200 provided by an embodiment of the present application. The electronic device 200 may be an electronic device capable of running application programs, such as a smart phone, a tablet computer, a smart gateway, and a smart control panel. The electronic device 200 in this application may include one or more of the following components: a processor 210, a memory 220, and one or more application programs, wherein one or more application programs may be stored in the memory 220 and configured to be executed by a or a plurality of processors 210, and one or more application programs are configured to execute the methods described in the foregoing method embodiments.

Wherein, the processor 210 may include one or more processing cores. The processor 210 uses various interfaces and lines to connect various parts of the entire electronic device 200, and executes by running or executing instructions, programs, code sets or instruction sets stored in the memory 220, and calling data stored in the memory 220. Various functions of the electronic device 200 and processing data. Optionally, the processor 210 may adopt at least one of Digital Signal Processing (Digital Signal Processing, DSP), Field-Programmable Gate Array (Field-Programmable Gate Array, FPGA), and Programmable Logic Array (Programmable Logic Array, PLA). implemented in the form of hardware. The processor 210 may integrate one or a combination of a central processing unit (Central Processing Unit, CPU), a graphics processing unit (Graphics Processing Unit, GPU), a modem, and the like. Among them, the CPU mainly handles the operating system, user interface and application programs, etc.; the GPU is used for rendering and drawing of the components to be displayed; the modem is used for wireless communication. It can be understood that, the above-mentioned modem may not be integrated into the processor 210, but may be realized by a communication chip alone.

The memory 220 may include random access memory (Random Access Memory, RAM), and may also include read-only memory (Read-Only Memory). The memory 220 may be used to store instructions, programs, codes, sets of codes, or sets of instructions. The memory 220 may include a program storage area and a data storage area, wherein the program storage area may store instructions for implementing an operating system and instructions for implementing at least one function (such as a touch function, a sound playback function, an image playback function, etc.) , instructions for implementing the following method embodiments, and the like. The data storage area can also store data (such as historical configuration files) created by the electronic device 200 during use.

Fig. 10 shows a storage unit used to save or carry program codes for realizing the network optimization method according to the embodiment of the application according to the embodiment of the application. Please refer to 10, which shows a computer-capable Read the structure block diagram of the storage medium. Program codes are stored in the computer-readable medium 300, and the program codes can be invoked by a processor to execute the methods described in the foregoing method embodiments.

The computer readable storage medium 300 may be an electronic memory such as flash memory, EEPROM (Electrically Erasable Programmable Read Only Memory), EPROM, hard disk, or ROM. Optionally, the computer-readable storage medium 300 includes a non-transitory computer-readable storage medium (non-transitory computer-readable storage medium). The computer-readable storage medium 300 has a storage space for program code 310 for executing any method steps in the above methods. These program codes can be read from or written into one or more computer program products. Program code 310 may, for example, be compressed in a suitable form.

To sum up, the network optimization method, device, and electronic equipment provided by this application obtain the location label of the first intelligent gateway as the first location information, and obtain the respective location labels of all sub-devices connected to the first intelligent gateway as the second location information. Location information, wherein the number of second location information is multiple; if there is second location information that does not match the first location information in the plurality of second location information, then determine the sub-device to be optimized from all sub-devices; Determine the second smart gateway corresponding to the sub-device to be optimized, migrate the sub-device to be optimized from the first smart gateway to the second smart gateway, realize automatic optimization of network communication capabilities through automatic migration of sub-device, and improve the timeliness of network communication performance, stability, and disaster recovery capabilities.

Finally, it should be noted that: the above embodiments are only used to illustrate the technical solutions of the present application, but not to limit them; although the present application has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: it can still Modifications are made to the technical solutions described in the foregoing embodiments, or equivalent replacements are made to some of the technical features; and these modifications or replacements do not drive the essence of the corresponding technical solutions away from the spirit and scope of the technical solutions of the various embodiments of the present application.

Claims

A network optimization method, characterized in that the method comprises:

Acquiring the location tag of the first intelligent gateway as the first location information;

Acquiring location tags of all sub-devices connected to the first intelligent gateway as second location information, wherein the number of the second location information is multiple;

If there is second location information that does not match the first location information in the plurality of second location information, then determine the sub-device to be optimized from all the sub-devices;

A second intelligent gateway corresponding to the sub-device to be optimized is determined, and the sub-device to be optimized is migrated from the first intelligent gateway to the second intelligent gateway.
The method according to claim 1, wherein, if there is second location information that does not match the first location information among the plurality of second location information, determining from all the sub-devices to be Optimize child devices, including:

If there is second location information that does not match the first location information in the plurality of second location information, use the sub-device whose location information does not match among all the sub-devices as the sub-device to be optimized.
The method according to claim 1, wherein if the second location information does not match the first location information in the plurality of second location information, The sub-device whose location information does not match in the device is used as the sub-device to be optimized, including:

If the second location information that does not match the first location information exists in the plurality of second location information, use the sub-device whose location information does not match among all the sub-devices as a candidate sub-device;

Acquire device information of the candidate sub-device, where the device information includes sub-network information, or sub-network information and location matching information;

calculating the evaluation value of the candidate sub-device in the sub-network to which it belongs according to the device information;

A sub-device whose evaluation value is smaller than a preset threshold is selected from the candidate sub-device as the sub-device to be optimized.
The method according to claim 3, wherein the sub-network information includes signal strength, and/or, link layer levels, and/or, the number of sub-devices.
The method according to any one of claims 1-4, wherein the determining that the sub-device to be optimized corresponds to a second intelligent gateway, and migrating the sub-device to be optimized from the first intelligent gateway to the second intelligent gateway The second intelligent gateway includes:

Obtain the device identifier of the sub-device to be optimized;

Sending the device identifier to the second intelligent gateway to instruct the second intelligent gateway to be connected to the sub-device to be optimized.
The method according to any one of claims 1-4, wherein the method further comprises:

Obtain configuration information of the sub-device to be optimized;

Sending the configuration information to the second intelligent gateway to instruct the second intelligent gateway to configure the sub-device to be optimized according to the configuration information.
The method according to any one of claims 1-4, wherein the determining the second intelligent gateway corresponding to the sub-device to be optimized is migrating the sub-device to be optimized from the first intelligent gateway to After the second intelligent gateway, the method also includes:

After the sub-device to be optimized is migrated to the second intelligent gateway, it is judged whether the migration operation is a valid migration;

If not, re-determine the target gateway corresponding to the sub-device to be optimized, and perform a relocation operation.
The method according to any one of claims 1-4, wherein the determining the second intelligent gateway corresponding to the sub-device to be optimized is migrating the sub-device to be optimized from the first intelligent gateway to The second intelligent gateway includes:

determining the second intelligent gateway corresponding to the sub-device to be optimized;

Show migration selection control;

When a migration instruction triggered based on the migration selection control is received, the sub-device to be optimized is migrated from the first intelligent gateway to the second intelligent gateway.
A network optimization device, characterized in that the device includes:

The first location information obtaining module is used to obtain the location tag of the first intelligent gateway as the first location information;

A second location information acquisition module, configured to acquire location tags of all sub-devices connected to the first intelligent gateway as second location information, wherein the number of the second location information is multiple;

A determining module, configured to determine a sub-device to be optimized from all sub-devices if there is second position information that does not match the first position information among the plurality of second position information;

A migration module, configured to determine a second intelligent gateway corresponding to the sub-device to be optimized, and migrate the sub-device to be optimized from the first intelligent gateway to the second intelligent gateway.
An electronic device, characterized in that it comprises:

one or more processors;

memory;

one or more application programs, wherein the one or more application programs are stored in the memory and configured to be executed by the one or more processors, the one or more application programs are configured to perform The method according to any one of claims 1-8.