CN113691626A - Internet of things equipment identification method and system and storage medium - Google Patents
Internet of things equipment identification method and system and storage medium Download PDFInfo
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- H04L67/1001—Protocols in which an application is distributed across nodes in the network for accessing one among a plurality of replicated servers
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Abstract
The invention provides an Internet of things equipment identification method, an Internet of things equipment identification system and a storage medium, wherein the method comprises the following steps: the task allocation equipment receives the IP address to be identified and determines alternative edge equipment in the plurality of edge equipment according to the IP address to be identified; determining target edge equipment according to the network quality information and the resource use information of the alternative edge equipment, and sending the IP address to be identified to the target edge equipment; and the target edge device scans the Internet of things device corresponding to the IP address to be identified, determines the device information of the Internet of things device and sends the device information to the task allocation device. According to the invention, the multi-edge equipment is used for identifying the equipment of the Internet of things, so that the identification efficiency and the identification range of the equipment of the Internet of things can be ensured; meanwhile, the task allocation equipment dynamically issues the IP address to be identified according to the network quality information and the resource use information of the alternative edge equipment, so that the target edge equipment can be ensured to have a high-quality network and enough computing power to execute the identification of the equipment of the Internet of things.
Description
Technical Field
The invention relates to the field of Internet of things, in particular to a method and a system for identifying equipment of the Internet of things and a storage medium.
Background
Internet of things device identification is an important content in internet of things device management. In the related technology, the internet of things equipment is usually identified by adopting single internet of things scanning equipment, but the method easily causes the problems of low scanning speed, inaccurate scanning result and the like; meanwhile, the internet of things scanning equipment only has a single equipment IP, and the scanning behavior of the single equipment IP is easily blocked by the network protection equipment, so that the accessible network of the internet of things scanning equipment is limited, and the identification effect of the internet of things equipment is influenced.
Disclosure of Invention
The invention aims to provide an Internet of things equipment identification method, an Internet of things equipment identification system and a storage medium, which can be used for identifying the Internet of things equipment by using multi-edge equipment, dynamically issue an Internet of things identification task by using network quality information and resource use information of the edge equipment, ensure that the edge equipment has a high-quality network and sufficient computing power to identify the Internet of things equipment, and effectively improve the efficiency and detection range of the Internet of things identification.
In order to solve the technical problem, the invention provides an internet of things equipment identification method, which comprises the following steps:
the task allocation equipment receives an IP address to be identified and determines alternative edge equipment in a plurality of edge equipment according to the IP address to be identified;
determining target edge equipment according to the network quality information and the resource use information of the alternative edge equipment, and sending the IP address to be identified to the target edge equipment;
and the target edge device scans the Internet of things device corresponding to the IP address to be identified, determines the device information of the Internet of things device, and sends the device information to the task allocation device.
Optionally, before determining the alternative edge device among the plurality of edge devices according to the to-be-identified IP address, the method further includes:
the task allocation device collects accessible network segments of the edge devices;
correspondingly, the determining, according to the to-be-identified IP address, an alternative edge device among the plurality of edge devices includes:
and the task allocation equipment matches the IP address to be identified with the accessible network segment and determines the alternative edge equipment in the edge equipment according to a matching result.
Optionally, the task allocation device collecting accessible segments of the edge device includes:
and the task allocation equipment acquires a routing table from the edge equipment and determines an accessible network segment of the edge equipment according to the routing table.
Optionally, before determining the target edge device according to the network quality information and the resource usage information of the candidate edge devices, the method further includes:
the task allocation equipment determines the network response time and the routing hop count of the edge equipment and sets the network response time and the routing hop count as the network quality information of the edge equipment;
and acquiring the number of available threads and the number of available memories from the edge device, and setting the number of available threads and the number of available memories as the resource use information of the edge device.
Optionally, the determining, by the task allocation device, the network response time and the routing hop count of the edge device includes:
the task distribution device determines a network response time of the edge device using a ping command and determines a routing hop count of the edge device using a tracert command.
Optionally, the obtaining the number of available threads and the number of available memories from the edge device includes:
the task allocation apparatus periodically obtains the number of available threads and the number of available memory from the edge apparatus.
Optionally, the determining a target edge device according to the network quality information and the resource usage information of the candidate edge device includes:
determining a calculation power index value of the alternative edge device by using the available thread number and the available memory number;
and sequencing the alternative edge devices by utilizing the network response time, the routing hop count and the calculation index value in the network quality information, and determining the target edge device according to a sequencing result.
The invention also provides an internet of things equipment identification system, which comprises: a task allocation device and an edge device, wherein,
the task allocation device is used for receiving an IP address to be identified and determining alternative edge devices in the plurality of edge devices according to the IP address to be identified; determining target edge equipment according to the network quality information and the resource use information of the alternative edge equipment, and sending the IP address to be identified to the target edge equipment;
and the edge equipment is used for scanning the Internet of things equipment corresponding to the IP address to be identified, determining the equipment information of the Internet of things equipment and sending the equipment information to the task allocation equipment when receiving the IP address to be identified.
Optionally, the task allocation device is further configured to collect accessible segments of the edge device;
correspondingly, the task allocation device is further configured to match the IP address to be identified with the accessible network segment, and determine the alternative edge device in the edge device according to a matching result.
The invention also provides a storage medium, wherein the storage medium stores a computer program, and the computer program is executed by a processor to realize the steps of the method for identifying the equipment of the internet of things.
The invention provides an Internet of things equipment identification method, which comprises the following steps: the task allocation equipment receives an IP address to be identified and determines alternative edge equipment in a plurality of edge equipment according to the IP address to be identified; determining target edge equipment according to the network quality information and the resource use information of the alternative edge equipment, and sending the IP address to be identified to the target edge equipment; and the target edge device scans the Internet of things device corresponding to the IP address to be identified, determines the device information of the Internet of things device, and sends the device information to the task allocation device.
Therefore, the invention firstly uses a plurality of edge devices to identify the equipment of the internet of things, and the edge devices can identify the equipment at physical positions close to users and data sources, and each edge device has different IP addresses, so that the adoption of the multiple edge devices can ensure the identification efficiency of the equipment of the internet of things, avoid the condition that a single scanning device of the internet of things is blocked by network protection equipment, expand the network accessible by the edge devices and further expand the scanning identification range of the equipment of the internet of things; meanwhile, in order to further improve the scanning efficiency of the edge device, the task allocation device firstly determines the alternative edge device capable of scanning the IP address to be identified, and dynamically issues the IP address to be identified according to the network quality information and the resource use information of the alternative edge device, so that the target edge device can be ensured to have a high-quality network and sufficient computing power to execute the identification of the equipment of the Internet of things, and the identification efficiency of the equipment of the Internet of things can be further improved. The invention also provides an Internet of things equipment identification system and a storage medium, and the Internet of things equipment identification system and the storage medium have the beneficial effects.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
Fig. 1 is a flowchart of an internet of things device identification method according to an embodiment of the present invention;
fig. 2 is a block diagram of a structure of an internet of things device identification system according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Internet of things device identification is an important content in internet of things device management. In the related technology, the internet of things equipment is usually identified by adopting single internet of things scanning equipment, but the method easily causes the problems of low scanning speed, inaccurate scanning result and the like; meanwhile, the internet of things scanning equipment only has a single equipment IP, and the scanning behavior of the single equipment IP is easily blocked by the network protection equipment, so that the accessible network of the internet of things scanning equipment is limited, and the identification effect of the internet of things equipment is influenced. In view of the above, the invention provides an internet of things device identification method, which can use multiple edge devices to identify an internet of things device, dynamically issue an internet of things identification task according to network quality information and resource usage information of the edge devices, ensure that the edge devices have a high-quality network and sufficient computing power to identify the internet of things device, and effectively improve the efficiency and detection range of the internet of things identification. Referring to fig. 1, fig. 1 is a flowchart of an internet of things device identification method according to an embodiment of the present invention, where the method includes:
s101, the task allocation device receives the IP address to be identified and determines alternative edge devices in the plurality of edge devices according to the IP address to be identified.
In the embodiment of the invention, the task allocation device is used for allocating the identification task of the internet of things device to the edge device, and the edge device is provided with a model and an algorithm required by the internet of things identification and used for executing the internet of things identification task. In other words, in the embodiment of the invention, a plurality of edge devices are adopted to replace the original single internet of things scanning device, and each edge device is provided with different IP addresses, so that the problem that the single IP is blocked by the network security device can be effectively avoided, and the identification range of the internet of things device can be effectively improved; meanwhile, because the edge device is usually arranged at a physical position close to a user or a data source, the edge device can be rapidly interacted with the Internet of things device, and therefore the identification efficiency of the Internet of things device can be effectively improved. It should be noted that the embodiments of the present invention are not limited to specific task allocation devices and edge devices, and may be, for example, a server, a personal computer, a tablet computer, and the like, and may be set according to actual application requirements. The embodiment of the invention also does not limit the number of the edge devices and can be set according to the actual application requirements.
Further, the embodiment of the present invention does not limit how the task allocation device obtains and receives the to-be-identified IP address, for example, the to-be-identified IP address that is manually input may be received, the to-be-identified IP address that is sent by other devices may also be received, and the setting may be performed according to the actual application requirements. It can be understood that, in order to select an alternative edge device that can identify the internet of things corresponding to the IP address to be identified, it should be at least determined that the alternative edge device can access the network segment corresponding to the IP address to be identified; it will further be appreciated that the network segment information accessible to all edge devices should be collected for network segment matching.
In a possible case, before determining the alternative edge device among the plurality of edge devices according to the IP address to be identified, the method may further include:
step 11: the task allocation equipment collects accessible network segments of the edge equipment;
correspondingly, determining the alternative edge device among the plurality of edge devices according to the IP address to be identified may include:
step 21: and the task allocation equipment matches the IP address to be identified with the accessible network segment and determines alternative edge equipment in the edge equipment according to the matching result.
It should be noted that, the embodiment of the present invention does not limit how to match the accessible network segment with the IP address to be identified, and may refer to the related technology of IP; the embodiment of the invention also does not limit how to determine the accessible network segment of the edge device, for example, a request can be sent to the edge device so that the edge device generates a rough network topology structure, and the accessible network segment of the edge device is determined according to the network topology structure; or obtaining the routing table from the edge device, and determining the accessible network segment of the device according to the network segment information contained in the routing table. Since the routing table already contains sufficient information for determining the accessible network segment of the edge device, in the embodiment of the present invention, in order to improve efficiency, the routing table may be obtained from the edge device, and the routing table may determine the accessible network segment of the edge device.
In one possible scenario, the task distribution device collecting accessible segments of the edge device may include:
step 31: and the task allocation equipment acquires the routing table from the edge equipment and determines the accessible network segment of the edge equipment according to the routing table.
It should be noted that the embodiment of the present invention does not limit how to obtain the routing table to the edge device, and reference may be made to related technologies of routing.
S102, determining target edge equipment according to the network quality information and the resource use information of the alternative edge equipment, and sending the IP address to be identified to the target edge equipment.
In the embodiment of the invention, in order to ensure that the candidate edge device can efficiently complete the identification task of the internet of things device, the candidate edge device is optimized according to the network quality information and the resource use information of the candidate edge device to obtain the target edge device, wherein the network quality information is information representing the quality of the network environment where the edge device is located, and the resource use information is information representing available computing resources of the edge device. In other words, the embodiment of the invention preferentially adopts the edge devices with better network quality and more computing resources to perform the identification task of the equipment of the internet of things, so that the identification efficiency can be effectively guaranteed.
It should be noted that the embodiment of the present invention does not limit specific network quality information, for example, the network response time of the edge device responding to the task allocation device may be used, and the routing hop count from the edge device to the task allocation device may also be used; the embodiment of the present invention also does not limit the specific resource usage information, and may be, for example, the number of available threads of the edge device, or the number of available memories of the edge device, which may be selected according to the actual application requirements.
In a possible case, before determining the target edge device according to the network quality information and the resource usage information of the candidate edge devices, the method may further include:
step 41: and the task allocation equipment determines the network response time and the routing hop count of the edge equipment and sets the network response time and the routing hop count as the network quality information of the edge equipment.
Step 42: and acquiring the number of available threads and the number of available memories from the edge device, and setting the number of available threads and the number of available memories as the resource use information of the edge device.
It will be appreciated that network response identification is typically obtained using a ping command, while routing hop count is typically determined using a tracert command. It should be noted that, the embodiment of the present invention does not limit the use manner of the command, and reference may be made to related technologies.
In one possible case, the task allocation device determining the network response time and the routing hop count of the edge device may include:
step 51: the task distribution device uses the ping command to determine the network response time of the edge device and uses the tracert command to determine the routing hop count of the edge device.
Furthermore, it should be noted that, the embodiment of the present invention also does not limit how to obtain the available number of threads from the edge device, for example, for a Windows operating system, the available number of CPU threads may be obtained by using "wmic", "CPU get", and "number of logical processors" commands, and for a Linux operating system, the available number of CPU threads may be obtained by using "cat/proc/sys/kernel/thread-max" commands; embodiments of the present invention also do not limit how the available memory count is obtained from the edge device, for example, Windows may use systeminfo | find "memory to obtain the memory count, while Linux operating system may use Linux free to obtain the available memory count.
Further, in order to monitor the working condition of the edge device in real time, the task allocation device may also periodically acquire the available thread data and the available memory number from the edge device. It should be noted that, the embodiment of the present invention does not limit the specific acquisition period, and can be set according to the actual application requirement.
In one possible scenario, obtaining the number of available threads and the number of available memories from the edge device may include:
step 61: the task allocation device periodically obtains the number of available threads and the number of available memories from the edge device.
Further, after the network response time, the routing hop count, the available thread count and the available memory count are obtained from the edge device, the edge device can be optimized in the alternative edge device in a sequencing mode, and a suitable target edge device is determined. Of course, the computational power index value may be calculated using the number of available threads and the number of available memory of the edge device and sorted using this value as well as the network response time and the number of routing hops. The calculation force index value can be calculated by using the formula: the number of available threads is multiplied by 70% + the number of available memories is multiplied by 30%, wherein the ratio in the formula can be adjusted according to the actual application requirements.
In one possible case, determining the target edge device according to the network quality information and the resource usage information of the candidate edge device may include:
step 71: determining the calculation power index value of the alternative edge equipment by using the available thread number and the available memory number;
step 72: and sequencing the alternative edge devices by utilizing the network response time, the routing hop count and the calculation index value in the network quality information, and determining the target edge device according to the sequencing result.
It should be noted that, the sorting modes corresponding to different data are different, for example, the smaller the numerical value of the network response time and the network hop count is, the better the sorting is, the larger the calculation power index value is, the better the sorting is, the sorting is from the larger the sorting is. Of course, in order to specifically quantify the relationship between the network response time and the network quality, a plurality of preset intervals may be allocated to the network response time, and the network quality of the edge device may be determined according to the interval in which the network response time of the edge device falls. For example, four intervals are set, which are response time less than 20ms (millisecond), between 20ms and 50ms, between 50ms and a data range, and timeout, respectively, and correspond to network quality good, bad, and bad, respectively, and are sorted according to the network quality.
S103, the target edge device scans the Internet of things device corresponding to the IP address to be identified, determines the device information of the Internet of things device, and sends the device information to the task allocation device.
It should be noted that, the embodiment of the present invention does not limit the specific way of identifying the internet of things device, and reference may be made to the related technology of identifying the internet of things. The embodiment of the present invention also does not limit specific device information, such as device model, serial number, manufacturer, etc., and can be set according to actual application requirements.
Based on the embodiment, the method comprises the steps that firstly, a plurality of edge devices are used for identifying the equipment of the internet of things, the edge devices can be used for identifying the equipment at physical positions close to users and data sources, and simultaneously, each edge device has different IP addresses, so that the efficiency of identifying the equipment of the internet of things can be ensured by adopting the plurality of edge devices, the situation that a single scanning device of the internet of things is blocked by network protection equipment can be avoided, the network accessible by the edge devices is expanded, and the scanning identification range of the equipment of the internet of things is expanded; meanwhile, in order to further improve the scanning efficiency of the edge device, the task allocation device firstly determines the alternative edge device capable of scanning the IP address to be identified, and dynamically issues the IP address to be identified according to the network quality information and the resource use information of the alternative edge device, so that the target edge device can be ensured to have a high-quality network and sufficient computing power to execute the identification of the equipment of the Internet of things, and the identification efficiency of the equipment of the Internet of things can be further improved.
In the following, the internet of things device identification system and the storage medium provided by the embodiments of the present invention are introduced, and the internet of things device identification system and the storage medium described below and the internet of things device identification method described above may be referred to in a corresponding manner.
Referring to fig. 2, fig. 2 is a block diagram of an internet of things device identification system according to an embodiment of the present invention, where the system includes: a task assignment device 201 and an edge device 202, wherein,
the task allocation device 201 is configured to receive an IP address to be identified, and determine an alternative edge device among the plurality of edge devices 202 according to the IP address to be identified; determining target edge equipment according to the network quality information and the resource use information of the alternative edge equipment, and sending the IP address to be identified to the target edge equipment;
the edge device 202 is configured to scan the internet of things device corresponding to the to-be-identified IP address when receiving the to-be-identified IP address, determine device information of the internet of things device, and send the device information to the task allocation device 201.
Optionally, the task allocation device 201 is further configured to collect accessible segments of the edge device 202;
correspondingly, the task allocation device 201 is further configured to match the IP address to be identified with the accessible network segment, and determine an alternative edge device in the edge device 202 according to a matching result.
Optionally, the task allocation device 201 is further configured to obtain a routing table from the edge device 202, and determine an accessible network segment of the edge device 202 according to the routing table.
Optionally, the task allocation device 201 is further configured to determine a network response time and a routing hop count of the edge device 202, and set the network response time and the routing hop count as the network quality information of the edge device 202; the number of available threads and the number of available memory are acquired from the edge device 202, and the number of available threads and the number of available memory are set as the resource usage information of the edge device 202.
Optionally, the task assigning device 201 is further configured to determine a network response time of the edge device 202 using a ping command, and determine a routing hop count of the edge device 202 using a tracert command.
Optionally, the task allocation device 201 is further configured to periodically obtain the number of available threads and the number of available memories from the edge device 202.
Optionally, the task allocation device 201 is further configured to determine an computation power index value of the alternative edge device by using the number of available threads and the number of available memories; and sequencing the alternative edge devices by utilizing the network response time, the routing hop count and the calculation index value in the network quality information, and determining the target edge device according to the sequencing result.
The embodiment of the invention also provides a storage medium, wherein a computer program is stored on the storage medium, and when being executed by a processor, the steps of the method for identifying the equipment of the internet of things in any embodiment are realized.
Since the embodiment of the storage medium portion corresponds to the embodiment of the internet of things device identification method portion, please refer to the description of the embodiment of the internet of things device identification method portion for the embodiment of the storage medium portion, which is not repeated here.
The embodiments are described in a progressive manner in the specification, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other. The device disclosed by the embodiment corresponds to the method disclosed by the embodiment, so that the description is simple, and the relevant points can be referred to the method part for description.
Those of skill would further appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative components and steps have been described above generally in terms of their functionality in order to clearly illustrate this interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. A software module may reside in Random Access Memory (RAM), memory, Read Only Memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.
The method, the system and the storage medium for identifying the internet of things equipment provided by the invention are described in detail above. The principles and embodiments of the present invention are explained herein using specific examples, which are presented only to assist in understanding the method and its core concepts. It should be noted that, for those skilled in the art, it is possible to make various improvements and modifications to the present invention without departing from the principle of the present invention, and those improvements and modifications also fall within the scope of the claims of the present invention.
Claims (10)
1. An Internet of things equipment identification method is characterized by comprising the following steps:
the task allocation equipment receives an IP address to be identified and determines alternative edge equipment in a plurality of edge equipment according to the IP address to be identified;
determining target edge equipment according to the network quality information and the resource use information of the alternative edge equipment, and sending the IP address to be identified to the target edge equipment;
and the target edge device scans the Internet of things device corresponding to the IP address to be identified, determines the device information of the Internet of things device, and sends the device information to the task allocation device.
2. The method for identifying internet of things equipment according to claim 1, wherein before determining the alternative edge equipment in the plurality of edge equipment according to the IP address to be identified, the method further comprises:
the task allocation device collects accessible network segments of the edge devices;
correspondingly, the determining, according to the to-be-identified IP address, an alternative edge device among the plurality of edge devices includes:
and the task allocation equipment matches the IP address to be identified with the accessible network segment and determines the alternative edge equipment in the edge equipment according to a matching result.
3. The method for identifying internet of things devices as claimed in claim 2, wherein the task distribution device collecting accessible segments of the edge devices comprises:
and the task allocation equipment acquires a routing table from the edge equipment and determines an accessible network segment of the edge equipment according to the routing table.
4. The method for identifying internet of things equipment according to claim 1, wherein before determining a target edge device according to the network quality information and the resource usage information of the candidate edge devices, the method further comprises:
the task allocation equipment determines the network response time and the routing hop count of the edge equipment and sets the network response time and the routing hop count as the network quality information of the edge equipment;
and acquiring the number of available threads and the number of available memories from the edge device, and setting the number of available threads and the number of available memories as the resource use information of the edge device.
5. The internet of things equipment identification method of claim 4, wherein the task allocation equipment determines the network response time and the routing hop count of the edge equipment, and comprises the following steps:
the task distribution device determines a network response time of the edge device using a ping command and determines a routing hop count of the edge device using a tracert command.
6. The method for identifying internet of things equipment according to claim 4, wherein the obtaining the number of available threads and the number of available memories from the edge equipment comprises:
the task allocation apparatus periodically obtains the number of available threads and the number of available memory from the edge apparatus.
7. The internet of things identification method of claim 4, wherein the determining a target edge device according to the network quality information and the resource usage information of the candidate edge devices comprises:
determining a calculation power index value of the alternative edge device by using the available thread number and the available memory number;
and sequencing the alternative edge devices by utilizing the network response time, the routing hop count and the calculation index value in the network quality information, and determining the target edge device according to a sequencing result.
8. An internet of things equipment identification system, comprising: a task allocation device and an edge device, wherein,
the task allocation device is used for receiving an IP address to be identified and determining alternative edge devices in the plurality of edge devices according to the IP address to be identified; determining target edge equipment according to the network quality information and the resource use information of the alternative edge equipment, and sending the IP address to be identified to the target edge equipment;
and the edge equipment is used for scanning the Internet of things equipment corresponding to the IP address to be identified, determining the equipment information of the Internet of things equipment and sending the equipment information to the task allocation equipment when receiving the IP address to be identified.
9. The internet of things device identification system of claim 8, wherein the task allocation device is further configured to collect accessible segments of edge devices;
correspondingly, the task allocation device is further configured to match the IP address to be identified with the accessible network segment, and determine the alternative edge device in the edge device according to a matching result.
10. A storage medium having stored thereon a computer program which, when executed by a processor, carries out the steps of the internet of things device identification method of any one of claims 1 to 7.
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