CN114900452B - Internet of things connection state monitoring method and device, electronic equipment and medium - Google Patents
Internet of things connection state monitoring method and device, electronic equipment and medium Download PDFInfo
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Abstract
The application provides a method and a device for monitoring connection state of the Internet of things, electronic equipment and a computer readable storage medium. The method comprises the following steps: acquiring various signaling in the communication process between each Internet of things device and an Internet of things platform within a preset duration; determining network connection state indexes and network connection state index grades corresponding to the various signaling aiming at all the Internet of things equipment; determining the network connection state type of each Internet of things device according to the network connection state index grade corresponding to each network connection state index; determining a single connection success rate of each Internet of things device based on the network connection state type of each Internet of things device; and determining the overall connection success rate of each Internet of things device according to each single connection success rate so as to realize the monitoring of the connection state of the Internet of things. By adopting the method, the cost of monitoring the connection state of the Internet of things can be reduced, and the monitoring efficiency is improved.
Description
Technical Field
The present disclosure relates to internet of things, and in particular, to a method and apparatus for monitoring connection status of internet of things, an electronic device, and a medium.
Background
With the development of the internet of things technology, in order to provide better services for internet of things equipment, an internet of things connection state monitoring method is presented.
At present, the connection state monitoring method of the Internet of things mainly defines different perception evaluation models for each type of users by carrying out subdivision clustering on user service characteristics, and then analyzes the network connection state perceived by various types of Internet of things equipment and an Internet of things platform on the basis.
However, in the traditional mode, based on the service characteristics of the internet of things equipment, subdivision and clustering are performed, and when a large number of internet of things equipment with different services exist, a perception evaluation model is respectively built for each internet of things equipment, so that the cost is high and the efficiency is low in monitoring the connection state of the internet of things.
Disclosure of Invention
The application provides a method, a device, electronic equipment and a computer readable storage medium for monitoring the connection state of the Internet of things, which are used for solving the technical problems of high cost and low efficiency in monitoring the connection state of the Internet of things in the prior art.
In a first aspect, the present application provides a method for monitoring a connection state of an internet of things, including:
acquiring various signaling in the communication process between each Internet of things device and an Internet of things platform within a preset duration;
Determining network connection state indexes and network connection state index grades corresponding to the various signaling aiming at all the Internet of things equipment;
determining the network connection state type of each Internet of things device according to the network connection state index grade corresponding to each network connection state index;
determining a single connection success rate of each Internet of things device based on the network connection state type of each Internet of things device;
and determining the overall connection success rate of each Internet of things device according to each single connection success rate so as to realize the monitoring of the connection state of the Internet of things.
In a second aspect, the present application provides an internet of things connection status monitoring device, including:
the signaling acquisition module is used for acquiring various signaling in the communication process between each Internet of things device and the Internet of things platform within a preset duration;
the index acquisition module is used for determining network connection state indexes and network connection state index grades corresponding to the various signaling aiming at all the Internet of things equipment;
the state type determining module is used for determining the network connection state type of each piece of Internet of things equipment according to the network connection state index grade corresponding to each piece of network connection state index;
the single connection success rate determining module is used for determining the single connection success rate of each Internet of things device based on the network connection state type of each Internet of things device;
And the overall connection success rate determining module is used for determining the overall connection success rate of each piece of internet of things equipment according to each single connection success rate so as to monitor the connection state of the internet of things.
In a third aspect, the present application provides an electronic device, comprising: a processor, and a memory communicatively coupled to the processor; the memory stores computer-executable instructions; the processor executes computer-executable instructions stored in the memory to implement the method of the first aspect.
In a fourth aspect, the present application provides a computer-readable storage medium having stored therein computer-executable instructions for performing the method of the first aspect when executed by a processor.
According to the method, the device, the electronic equipment and the computer readable storage medium for monitoring the connection state of the Internet of things, various signaling in the communication process between each Internet of things equipment and an Internet of things platform in the preset duration is obtained; determining network connection state indexes and network connection state index grades corresponding to the various signaling aiming at all the Internet of things equipment; determining the network connection state type of each Internet of things device according to the network connection state index grade corresponding to each network connection state index; determining a single connection success rate of each Internet of things device based on the network connection state type of each Internet of things device; and determining the overall connection success rate of each Internet of things device according to each single connection success rate so as to realize the monitoring of the connection state of the Internet of things. According to the method for monitoring the connection state of the Internet of things, the overall connection success rate of all the Internet of things devices can be determined only according to various signaling in the communication process of all the Internet of things devices and the Internet of things platform, which is acquired within the preset time, so that the connection state of the Internet of things can be monitored, and a perception evaluation model is not required to be independently built for the Internet of things devices with different industry characteristics, so that the cost for monitoring the connection state of the Internet of things can be reduced, and the monitoring efficiency can be improved.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the application and together with the description, serve to explain the principles of the application.
Fig. 1 is an application scenario diagram of an internet of things connection state monitoring method according to an embodiment of the present application;
fig. 2 is a flow chart of a method for implementing connection status monitoring of the internet of things according to an embodiment of the present application;
fig. 3 is a flow chart illustrating a method for implementing connection status monitoring of the internet of things according to another embodiment of the present application;
fig. 4 is a schematic structural diagram of a method for implementing connection state monitoring of the internet of things in the present application;
fig. 5 is a schematic structural diagram of an electronic device used for implementing a method for monitoring a connection state of the internet of things.
Specific embodiments thereof have been shown by way of example in the drawings and will herein be described in more detail. These drawings and the written description are not intended to limit the scope of the inventive concepts in any way, but to illustrate the concepts of the present application to those skilled in the art by reference to specific embodiments.
Detailed Description
Reference will now be made in detail to exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numbers in different drawings refer to the same or similar elements, unless otherwise indicated. The implementations described in the following exemplary examples are not representative of all implementations consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with some aspects of the present application as detailed in the accompanying claims.
The terms referred to in this application are explained first:
internet of things equipment: the device can be in communication connection with an Internet of things platform, such as an ammeter, a refrigerator and the like;
internet of things platform: the network communication system is located in the core network and can be in communication connection with the Internet of things equipment so as to realize the service of the Internet of things equipment.
Electronic equipment: the method comprises the steps of monitoring signaling generated in the communication process between the Internet of things equipment and the Internet of things platform to execute the Internet of things connection state monitoring method, wherein the electronic equipment can be a signaling supervision platform.
For a clear understanding of the technical solutions of the present application, the prior art solutions will be described in detail first.
In the traditional mode, the method for monitoring the connection state of the Internet of things mainly carries out subdivision clustering on user service characteristics, defines different perception evaluation models for each type of users, and then analyzes the network connection state perceived by various Internet of things devices and an Internet of things platform on the basis. However, when there are a large number of internet of things devices with different service features, a large number of perception evaluation models need to be established for each internet of things device in a manner of respectively establishing the perception evaluation models, which can make monitoring the internet of things network connection state not only have higher cost but also have lower efficiency.
The inventor has found after creative research in order to reduce the cost of the connection state of the internet of things and to improve the efficiency thereof when facing the technical problems of the prior art. Therefore, various signaling generated in the communication process between each Internet of things device and the Internet of things platform in the preset duration is obtained through the electronic device, the single connection success rate of each Internet of things device is determined according to the various signaling for each Internet of things device, and the overall connection success rate of each Internet of things device is determined based on each single connection success rate, so that the monitoring of the connection state of the Internet of things is realized. Because the overall connection success rate of all the Internet of things equipment can be determined based on various signaling only according to various signaling in the communication process of all the Internet of things equipment and the Internet of things platform, which is acquired within a preset time length, so that the monitoring of the Internet of things connection state is realized, and a perception evaluation model is not required to be independently built for the Internet of things equipment with different industry characteristics, the cost for monitoring the Internet of things connection state can be reduced, and the monitoring efficiency is improved.
As shown in fig. 1, an application scenario of the method for monitoring connection status of the internet of things provided in the embodiment of the present application includes an internet of things device 10, an internet of things platform 20 and an electronic device 30 in a network architecture corresponding to the application scenario, where the internet of things platform 20 is in communication connection with a plurality of internet of things devices 10, and the internet of things device 10 may include a plurality of internet of things devices, for example, the number may be n. Only the internet of things device 1 and the internet of things device n are shown in fig. 1. Various signaling related to the service stage can be generated and transmitted between the plurality of internet of things devices 10 and the internet of things platform 20 in the communication process, and the electronic device 30 can acquire various signaling transmitted between the internet of things devices 10 and the internet of things platform 20 from the internet of things platform 20 in the communication process of the two. After obtaining the plurality of types of signaling, the electronic device 30 determines network connection status indexes and network connection status index levels corresponding to the plurality of types of signaling according to the plurality of types of signaling, and determines the network connection status type of each internet of things device 10 according to the network connection status index level corresponding to each network connection status index; determining a single connection success rate of each of the internet of things devices 10 based on the network connection status type of each of the internet of things devices 10; and determining the overall connection success rate of each Internet of things device 10 according to each single connection success rate so as to realize the monitoring of the connection state of the Internet of things.
The data transmission method aims at solving the technical problems in the prior art.
The following describes the technical solutions of the present application and how the technical solutions of the present application solve the above technical problems in detail with specific embodiments. The following embodiments may be combined with each other, and the same or similar concepts or processes may not be described in detail in some embodiments. Embodiments of the present application will be described below with reference to the accompanying drawings.
Fig. 2 is an internet of things connection state monitoring method provided in an embodiment of the present application, and as shown in fig. 2, an execution subject of the internet of things connection state monitoring method provided in the embodiment is an electronic device. The method for monitoring the connection state of the internet of things provided by the embodiment comprises the following steps:
The internet of things equipment initiates communication connection to the internet of things platform due to service realization requirements, and various signaling can be generated between the internet of things equipment and the internet of things platform due to information transmission in the communication process between the internet of things equipment and the internet of things platform. The plurality of signaling are the same signaling which can be involved in the communication process between each Internet of things device and the Internet of things platform.
The preset duration is stored in the electronic equipment in advance, and when the network connection state of the internet of things platform is monitored, various signaling generated by communication between the electronic equipment and the internet of things platform in the preset duration can be acquired through the electronic equipment, and then analysis is performed based on the various signaling.
The mode of acquiring various signaling can be passive triggering acquisition according to an input instruction of a manager, or setting a preset interval period, and actively triggering acquisition every preset period or real-time active triggering acquisition.
The network connection state index is an index that can indicate a network connection state. Each network connection state index can be classified into different network connection state index levels according to different network connection states. Aiming at each Internet of things device, each signaling in the plurality of signaling has a corresponding network connection state index, and correspondingly, the plurality of instructions also have a corresponding network connection state index level.
And step 103, determining the network connection state type of each Internet of things device according to the network connection state index grade corresponding to each network connection state index.
Wherein the network connection status type is a connection status type determined based on the network connection status index level. For each piece of internet of things equipment, the corresponding network connection state indexes determined according to the various signaling are various, and the network connection state type of each piece of internet of things equipment can be determined according to the network connection state index grade corresponding to each piece of network connection state index. It can be understood that the network connection status type of the internet of things device is a comprehensive situation of various network connection status index levels thereof. For example, for an internet of things device, the network connection status indexes corresponding to the various signaling include A, B and C, and the grades are S1, S2 and S3 respectively, and the network connection status type of the internet of things device is (a-S1, B-S2 and C-S3).
The single connection success rate refers to the connection success rate of the single Internet of things equipment when communicating with the Internet of things platform. For the Internet of things equipment, the single connection success rate of the Internet of things equipment has close relation with the network connection state type of the Internet of things equipment. Therefore, the single connection success rate of each Internet of things device can be determined according to the network connection state type of each Internet of things device.
And 105, determining the overall connection success rate of each Internet of things device according to each single connection success rate so as to realize the monitoring of the connection state of the Internet of things.
The overall success rate refers to the connection success rate of all the Internet of things equipment and the Internet of things platform during communication. And comprehensively analyzing according to the single connection success rate of each Internet of things device, and obtaining the overall connection success rate of each Internet of things device. The overall connection success rate reflects the network connection state of the Internet of things platform, and if the overall connection success rate is lower than the normal threshold, the electronic equipment generates an operation and maintenance work order and sends the operation and maintenance work order to the Internet of things platform so as to instruct operation and maintenance staff to operate and maintain the Internet of things platform.
In the application, various signaling in the communication process between each Internet of things device and an Internet of things platform in a preset time period is obtained; determining network connection state indexes and network connection state index grades corresponding to various signaling aiming at all the Internet of things equipment; determining the network connection state type of each Internet of things device according to the network connection state index grade corresponding to each network connection state index; determining a single connection success rate of each Internet of things device based on the network connection state type of each Internet of things device; and determining the overall connection success rate of each Internet of things device according to each single connection success rate so as to realize the monitoring of the connection state of the Internet of things. According to the method for monitoring the connection state of the Internet of things, the overall connection success rate of all the Internet of things devices can be determined only according to various signaling in the communication process of all the Internet of things devices and the Internet of things platform, which is acquired within the preset time, so that the connection state of the Internet of things can be monitored, and a perception evaluation model is not required to be independently built for the Internet of things devices with different industry characteristics, so that the cost for monitoring the connection state of the Internet of things can be reduced, and the monitoring efficiency can be improved.
As an alternative implementation, as shown in fig. 2, in this embodiment, step 102 includes the following steps:
The electronic equipment stores a signaling index table in advance, and the signaling index table stores a corresponding relation between the signaling type and the network connection state index type. One signaling corresponds to one network connection status index type, and a plurality of signaling can be performed under one network connection status type. Optionally, the signaling index table is shown in table 1:
TABLE 1 Signaling indicator Table
| Signaling type | Signaling chinese names | Network connection status indicator type |
| attach | Attachment to | Request frequency |
| PDN | Data network establishment | Request frequency |
| TAU | Tracking area update | Intensity of movement |
| SERVICE REQUEST | Service request | Request frequency |
| ERAB | Service bearer | Request frequency |
| PAGING | Paging | Request frequency |
| ho_X2 | Local base station handoff | Intensity of movement |
| ho_S1 | Cross-region base station handoff | Intensity of movement |
| TCP | Transmission control protocol | Unit flow rate |
| HTTP | Hypertext transfer protocol | Unit flow rate |
| DNS | Domain name system | Unit flow rate |
When the signaling type is attach, the corresponding network connection state index type is request frequency; and when the signaling type is ERAB, the corresponding network connection state index type is request frequency.
The business process of the Internet of things is abstracted into four business stages from signaling: 1. capability negotiation (ATTACH, PDN, TAU); 2. bearer establishment (SERVICE REQUEST, ERAB, PAGING); 3. network switching (ho_x2, ho_s1); 4. traffic completion rate (TCP, HTTP, DNS)). Almost all industry's internet of things devices are involved in these four business phases.
After determining the network connection status index type corresponding to each signaling according to the signaling index table, the signaling with the same type of network connection status index type can be classified into the same type of signaling according to the network connection status index type corresponding to each signaling, and the classified signaling with the same type is used as a classified signaling. After classifying the various kinds of signaling, the signaling may have various kinds of signaling, so that various kinds of classified signaling can be obtained. As shown in table 1, the signaling types with the network connection status index type of mobility include TAU, ho_x2 and ho_s1, the signaling types with the network connection status index type of REQUEST frequency include attach, PDN, SERVICE REQUEST, ERAB, PAGING, and the signaling types with the network connection status index type of unit traffic include TCP, HTTP, DNS.
The transmission condition of the classified signaling refers to the transmission condition of the classified signaling in the communication process of the Internet of things equipment and the Internet of things platform. Optionally, the transmission condition of the categorized signaling includes response success or response failure of the internet of things platform. According to the transmission condition of the classified signaling in the preset time length, the network connection state index grade of the Internet of things equipment can be determined. The network connection state index level refers to a level of a network connection state index. Optionally, acquiring the accumulated response success times and the accumulated response failure times of the classified signaling within the preset duration, and determining the network connection state index level of the internet of things equipment according to the accumulated response success times and the accumulated response failure times. For each Internet of things device, according to the transmission condition of each classified signaling in the preset duration, the corresponding network connection state index level can be determined correspondingly.
According to the method for monitoring the connection state of the Internet of things, the network connection state index type corresponding to each signaling is determined according to the corresponding relation between the signaling type stored in the signaling index table and the network connection state index type; classifying the signaling according to the network connection state index type corresponding to each signaling to obtain various classified signaling; aiming at all the Internet of things equipment, corresponding network connection state index levels are determined according to the transmission conditions of all the classified signaling within the preset duration. Because the network connection state index level of each Internet of things device is determined according to the transmission condition of each classified signaling in the preset time, the network connection state index level of each Internet of things device can be more objectively and accurately determined.
As an alternative implementation manner, in this embodiment, step 203 includes the following steps:
step 301, obtaining a pre-stored index level classification table, wherein the index level classification table stores mapping relations between each network connection state index level and a preset interval corresponding to the signaling transmission condition after the classification.
The index level classification table is stored in the electronic equipment in advance, and the index level classification table stores the mapping relation between each network connection state index level and the corresponding preset interval of the signaling transmission condition after the classification. The index level classification table is correspondingly divided into a plurality of preset intervals based on the transmission condition of each classified signaling. Optionally, as shown in table 2, when the index level of the network connection status is high in mobility, the number of times of success of the preset interval corresponding to the categorized signaling transmission condition is greater than 20. When the network connection state index level is low unit flow, the corresponding preset interval of the classified signaling transmission condition is that the transmission bytes per second is smaller than 18434 k.
TABLE 2 index level Classification Table
| Network connection status index level | Corresponding to the preset interval of the classified signaling transmission condition |
| High moving strength | The success times are more than 20 |
| Intensity of middle movement | The success number is more than 3 and less than or equal to 20 |
| Low moving strength | The success number is less than or equal to 3 |
| High unit flow | The transmission bytes per second is greater than or equal to 18434 k |
| Low unit flow | The transmission bytes per second is less than 18434 k |
| High request frequency | The success number is greater than or equal to 800 |
| Low request frequency | The success number is less than 800 |
Step 302, obtaining transmission conditions of the classified signaling within a preset duration.
The method for acquiring the transmission conditions of the classified signaling in the preset time period can be passive triggering acquisition according to the input instruction of the manager, or set a preset interval period, and actively trigger acquisition every preset period or real-time active triggering acquisition.
Step 303, determining, for each internet of things device, a corresponding network connection state index level according to the transmission condition of each classified signaling and the index level classification table within a preset time period.
For each internet of things device, according to the transmission condition of each classified signaling within the preset time, the corresponding network connection state index level can be searched and determined in the index level classification table.
According to the method for monitoring the connection state of the Internet of things, a pre-stored index level classification table is obtained, and the mapping relation between each network connection state index level and the corresponding preset interval corresponding to the classified signaling transmission condition is stored in the index level classification table; acquiring the transmission condition of each classified signaling within a preset duration; and aiming at each Internet of things device, determining the corresponding network connection state index level according to the transmission condition of each classified signaling and the index level classification table within the preset duration. The network connection state index level of each Internet of things device is determined by searching in the index level classification table based on the transmission condition of each classified signaling, so that the network connection state index level of each Internet of things device can be further subdivided, and the network connection state index level of each Internet of things device is more accurate.
As an optional implementation manner, in this embodiment, the network connection status index includes: moving intensity, unit flow and request frequency; the categorized signaling includes: mobile signaling, traffic signaling, and connection request signaling; step 303, comprising the steps of:
step 401, for each internet of things device, obtaining the success times of mobile signaling, the flow size of flow signaling and the success times of connection request signaling in a preset duration.
The mobile strength refers to the frequency of switching and updating of a base station accessed by the internet of things equipment. The higher the frequency of handover and update of the base station, the greater the mobility intensity. The unit flow is the flow in unit time when information transmission is carried out between the Internet of things equipment and the Internet of things platform. The request frequency refers to the frequency of the internet of things device requesting access to the internet of things platform.
The mobile signaling refers to signaling that the network connection status index corresponds to the mobile strength, the traffic signaling refers to signaling that the network connection status index corresponds to the unit traffic, and the connection request signaling refers to signaling that the network connection status index corresponds to the request frequency.
The success times and failure times of the mobile signaling and the connection request signaling in the preset time period can be determined according to the return signaling of the mobile signaling and the connection request signaling. Because, the return signaling carries a message whether the mobile signaling and the connection request signaling are successfully connected. For example, the internet of things device sends a mobile signaling A1, a return signaling of the internet of things platform corresponding to the mobile signaling A1 is A1', and if a message carried by the return signaling is that the mobile signaling A1 fails to connect, the mobile signaling A1 fails to connect once is recorded. The flow of the flow signaling in the preset duration can be determined by acquiring the flow in unit time in the process of communication connection between the Internet of things equipment and the Internet of things platform. The flow of the flow signaling is generally obtained after the internet of things device sends the flow signaling to the internet of things platform and obtains a successful response.
Step 402, determining a first preset interval in which the success times of the mobile signaling are located according to the index level classification table, and determining the mobile intensity level according to the first preset interval.
As shown in table 2, the index level classification table is divided into at least three corresponding preset intervals according to the success times of the mobile signaling. And determining a preset interval in which the mobile signaling is positioned as a first preset interval according to the success times of the mobile signaling in the preset duration, and determining the mobile intensity level of the Internet of things equipment according to the levels of the first preset interval in the three preset intervals. For example, if the number of successes of the mobile signaling is 18, the corresponding first preset interval is "the number of successes is greater than 3 and less than or equal to 20", and the first preset interval belongs to the middle among the three preset intervals. Thus, the movement intensity level is the medium movement intensity. In this embodiment, the index level classification table is not limited to be divided into three corresponding preset intervals according to the success times of the mobile signaling, but may be further subdivided into more than three preset intervals. In general, the finer the division, the more the class is, and when determining the network connection status index class, the richer and more accurate classification can be obtained.
Step 403, determining a second preset interval in which the flow of the flow signaling is located according to the index level classification table, and determining a unit flow level according to the second preset interval.
As shown in table 2, the index level classification table is divided into at least two corresponding preset intervals according to the flow size of the flow signaling. And determining a preset interval in which the flow signaling is positioned as a second preset interval according to the flow size of the flow signaling in the preset duration, and determining the unit flow grade of the Internet of things equipment according to the grade of the second preset interval in the two preset intervals. For example, if the traffic size of the traffic signaling is 1800k per second transmission byte, the corresponding second preset interval is "less than 18432k per second transmission byte", and the second preset interval is at a later level in the two preset intervals. Thus, the unit flow rate level is a low unit flow rate. In this embodiment, the index level classification table is not limited to be divided into two corresponding preset intervals according to the flow size of the flow signaling, but may be further subdivided into more than two preset intervals. In general, the finer the division, the more the class is, and when determining the network connection status index class, the richer and more accurate classification can be obtained.
Step 404, determining a third preset interval in which the success times of the connection request signaling are located according to the index level classification table, and determining the request frequency level according to the third preset interval.
As shown in table 2, the index level classification table is divided into at least two corresponding preset intervals according to the success times of the connection request signaling. And determining a preset interval in which the connection request signaling is positioned as a third preset interval according to the success times of the connection request signaling in the preset duration, and determining the request frequency grade of the Internet of things equipment according to the grade of the third preset interval in the two preset intervals. For example, if the success number of the connection request signaling is 801, the corresponding third preset interval is "success number is 800 or more", and the third preset interval is ranked before the two preset intervals. Therefore, the request frequency level is a high request frequency. In this embodiment, the index level classification table is not limited to being divided into two corresponding preset intervals according to the success number of the connection request signaling, but may be further subdivided into more than two preset intervals. In general, the finer the division, the more the class is, and when determining the network connection status index class, the richer and more accurate classification can be obtained.
According to the method for monitoring the connection state of the Internet of things, the success times of mobile signaling, the flow of flow signaling and the success times of connection request signaling in preset duration are obtained for all Internet of things equipment; determining a first preset interval in which the success times of the mobile signaling are located according to the index level classification table, and determining the mobile intensity level according to the first preset interval; determining a second preset interval in which the flow of the flow signaling is located according to the index level classification table, and determining a unit flow level according to the second preset interval; and determining a third preset interval in which the success times of the connection request signaling are positioned according to the index grade classification table, and determining the request frequency grade according to the third preset interval. The network connection state index level is further determined according to the success times of the mobile signaling, the flow size of the flow signaling and the success times of the connection request signaling in the preset time period, and the success times of the flow signaling and the connection request signaling in the preset interval where the index level classification table is located. Various factors which can best reflect the transmission condition are thinned and quantized, so that the determination of the network connection state index level is more accurate.
As an alternative implementation manner, in this embodiment, step 103 includes: and determining the network connection state type of each Internet of things device according to the mobile intensity grade corresponding to the mobile intensity, the unit flow grade corresponding to the unit flow and the request frequency grade of the request frequency.
Specifically, after network connection state indexes and network connection state index levels corresponding to various signaling are determined for each internet of things device, a moving strength level, a unit flow rate level and a request frequency level of each internet of things device can be determined, and the moving strength level, the unit flow rate level and the request frequency level are combined together to form the network connection state type of each internet of things device.
For example, the internet of things device W1 has a corresponding movement intensity level of middle movement intensity, a corresponding unit flow level of high unit flow, and a corresponding request frequency level of low request frequency, and the network connection status type of the internet of things device W1 is middle movement intensity-high unit flow-low request frequency.
According to the method for monitoring the connection state of the Internet of things, the network connection state type of each Internet of things device is determined according to the mobile intensity level corresponding to the mobile intensity, the unit flow level corresponding to the unit flow and the request frequency level of the request frequency. The network connection state type of the internet of things equipment is determined based on various network connection state indexes, namely, the network connection state type is considered by integrating a plurality of dimensions, so that the concrete representation of the network connection state of each internet of things equipment in each dimension is convenient to determine.
As an alternative implementation, in this embodiment, step 104 includes the following steps:
step 501, based on the network connection status type of each internet of things device, determining weight coefficients corresponding to various signaling respectively, wherein the weight coefficients are positively correlated with the network connection status index level.
For each Internet of things device, determining a weight coefficient corresponding to each signaling according to the network connection state type of the Internet of things device. The weight coefficient corresponding to each signaling is positively correlated with the network connection state index level, and in general, the higher the mobile intensity level is, the larger the weight coefficient corresponding to the mobile signaling is; the higher the unit flow level is, the larger the weight coefficient corresponding to the flow signaling is; the higher the request frequency level is, the larger the weight coefficient corresponding to the connection request signaling is.
TABLE 3 weight coefficient relationship table
Table 3 is a weight coefficient relation table, which is stored in the electronic device in advance, and the weight coefficient relation table stores the weight coefficient correspondence between the network connection state type and the signaling type of the internet of things device.
1-12 of the network connection status types of the internet of things equipment in table 3 correspond to:
(1) low unit flow-low request frequency-low movement strength, (2) low unit flow-low request frequency-high movement strength, (3) low unit flow-low request frequency-medium movement strength, (4) low unit flow-high request frequency-low movement strength, (5) low unit flow-high request frequency-high movement strength, (6) low unit flow-high request frequency-medium movement strength, (7) high unit flow-low request frequency-low movement strength, (8) high unit flow-low request frequency-high movement strength, (9) high unit flow-low request frequency-medium movement strength, (10) high unit flow-high request frequency-low movement strength, (11) high unit flow-high request frequency-high movement strength, (12) high unit flow-high request frequency-medium movement strength.
For example, when the network connection status type of the internet of things device is 5, taking TAU as an example, the weight coefficient corresponding to the signaling is 3.
Step 502, determining a single connection success rate corresponding to each internet of things device according to the weight coefficients corresponding to the various signaling.
Optionally, the weighted summation can be performed according to the weight coefficients corresponding to the various kinds of signaling and the success rates of the various kinds of signaling, so as to obtain the single connection success rate corresponding to each piece of internet of things equipment.
According to the method for monitoring the connection state of the Internet of things, based on the network connection state types of all the Internet of things devices, weight coefficients corresponding to various signaling are respectively determined, and the weight coefficients are positively correlated with the network connection state index level; and determining a single connection success rate corresponding to each Internet of things device according to the weight coefficients corresponding to the various signaling. Because the weights corresponding to the various signaling are determined according to the network connection state type, the accuracy of the single success rate of each piece of internet of things equipment determined based on the weights can be ensured.
As an alternative implementation manner, in this embodiment, step 502 includes the following steps:
step 601, obtaining success ratios corresponding to various signaling in a preset time period.
The electronic device can determine the success proportion corresponding to the multiple signaling according to the success times of the multiple signaling in the preset duration.
Specifically, for mobile signaling, the success times can determine the success ratio corresponding to the mobile signaling; for the connection request signaling, the success times can determine the success proportion corresponding to the connection request signaling; for the traffic signaling, the success times can determine the success proportion corresponding to the traffic signaling.
The electronic device stores a signaling success ratio table, wherein the table stores the corresponding relation between the signaling types and the success ratio in a preset time period, the corresponding relation is shown in table 4, the signaling types are that the success ratio corresponding to the TAU is 90.3% in the preset time period, and the success times of the TAU account for 90.3% of the total times.
TABLE 4 Signaling success ratio Table
| Signaling type | Ratio of success |
| attach | 88.6 |
| PDN | 87.56 |
| TAU | 90.3 |
| SERVICE REQUEST | 99.99 |
| ERAB | 0 |
| PAGING | 100 |
| ho_X2 | 100 |
| ho_S1 | 83.29 |
| TCP | 1.56 |
| HTTP | 0 |
| DNS | 0 |
And 602, carrying out weighted summation on success ratios corresponding to various signaling and corresponding weight coefficients to obtain signaling scores.
And 603, dividing the signaling score and the sum of the weight coefficients to obtain a single connection success rate corresponding to each Internet of things device.
Specifically, a calculation formula of a single connection success rate of the internet of things equipment is as follows: single connection success = (weight coefficient of signaling type 1+ success ratio of signaling type 2 + weight coefficient of signaling type 2 + … + success ratio of signaling type n + weight coefficient of signaling type n)/(weight coefficient of signaling type 1+ weight coefficient of signaling type 2 + … + weight coefficient of signaling type n). Wherein the brackets content part (weight coefficient of signaling type 1+ weight coefficient of signaling type 2 + … + weight coefficient of signaling type n) is the signaling score. Taking the network connection state type 1 of the internet of things device as an example for illustration in combination with tables 2 and 3, the single connection success rate of the internet of things equipment is = ("the device) 88.6x1+99.99x1+87.56 x1+0 x1+1.56 x1+0 x1+100 x1+90.3 x1+0 x1+83.29 x1+98.74 x1+100 x 1)/12=62.5.
According to the method for monitoring the connection state of the Internet of things, the success proportion corresponding to various signaling in the preset time period is obtained; weighting and summing the success proportion corresponding to the various signaling and the corresponding weight coefficient to obtain a signaling score; and dividing the signaling score and the sum value of each weight coefficient to obtain a single connection success rate corresponding to each Internet of things device. The single connection success rate is obtained by carrying out weighted summation on success proportion and weight coefficient corresponding to various signaling and then carrying out division operation on the success proportion and the weight coefficient and the sum value of the weight coefficients, so that the calculation of the single connection success rate is more accurate.
As an alternative implementation, in this embodiment, step 105 includes the following steps:
and 701, performing product operation and summation on each single connection success rate and the corresponding equipment number of the Internet of things to obtain a user total score.
Step 702, dividing the total number of users and the total number of the devices of the internet of things, and determining the overall connection success rate of the devices of the internet of things so as to monitor the connection state of the internet of things.
Specifically, the overall connection success rate of each internet of things device= (single connection success rate of internet of things device with network connection status type 1 corresponds to the number of internet of things devices+ … +single connection success rate of internet of things device with network connection status type n corresponds to the number of internet of things devices)/(total number of internet of things devices). Where n is a natural number, only 12 types are shown in table 3, but may not be limited to 12 types according to actual needs according to the division fineness of the section. The total number of the Internet of things equipment is the sum of the equipment numbers corresponding to the Internet of things equipment in various network connection state types within a preset time length.
According to the method for monitoring the connection state of the Internet of things, the product operation is carried out on each single connection success rate and the corresponding equipment number of the Internet of things respectively, and the sum is carried out, so that the total score of the user is obtained; and dividing the total number of the users and the total number of the Internet of things devices to determine the overall connection success rate of all the Internet of things devices so as to realize the monitoring of the connection state of the Internet of things. Based on each single success rate and the corresponding number of the Internet of things devices, the overall connection success rate of each Internet of things device is determined, so that the connection state of the Internet of things can be monitored without independently establishing a perception evaluation model for the Internet of things devices with different industry characteristics, the monitoring cost is reduced, and the monitoring efficiency can be improved.
Fig. 4 is a schematic structural diagram of an internet of things connection state monitoring device 40 according to an embodiment of the present application, as shown in fig. 4, where the internet of things connection state monitoring device 40 according to the embodiment is located in an electronic device, the internet of things connection state monitoring device 40 according to the embodiment includes: a signaling acquisition module 41, an index acquisition module 42, a status type determination module 43, a single connection success rate determination module 44 and an overall connection success rate determination module 45.
The signaling obtaining module 41 is configured to obtain multiple types of signaling in a communication process between each internet of things device and the internet of things platform within a preset duration. The index obtaining module 42 is configured to determine, for each of the devices of the internet of things, a network connection status index and a network connection status index level corresponding to the plurality of signaling. The state type determining module 43 is configured to determine a network connection state type of each of the devices of the internet of things according to the network connection state index level corresponding to each of the network connection state indexes. The single connection success rate determining module 44 is configured to determine a single connection success rate of each of the internet of things devices based on the network connection status type of each of the internet of things devices. The overall connection success rate determining module 45 is configured to determine an overall connection success rate of each internet of things device according to each individual connection success rate, so as to monitor the connection state of the internet of things.
Optionally, the index obtaining module 42 determines, for each of the devices of the internet of things, a network connection status index and a network connection status index level corresponding to the plurality of signaling, which are specifically configured to: determining the network connection state index type corresponding to each signaling according to the corresponding relation between the signaling type stored in the signaling index table and the network connection state index type; classifying the signaling according to the network connection state index type corresponding to each signaling to obtain various classified signaling; aiming at all the Internet of things equipment, corresponding network connection state index levels are determined according to the transmission conditions of all the classified signaling within the preset duration.
Optionally, the index obtaining module 42 determines, for each internet of things device, a corresponding network connection status index level according to transmission conditions of each categorized signaling within a preset duration, and is specifically configured to: acquiring a pre-stored index level classification table, wherein the index level classification table stores the mapping relation between each network connection state index level and a preset interval corresponding to the signaling transmission condition after the classification; acquiring the transmission condition of each classified signaling within a preset duration; and aiming at each Internet of things device, determining the corresponding network connection state index level according to the transmission condition of each classified signaling and the index level classification table within the preset duration.
Optionally, the index obtaining module 42 determines, for each internet of things device, a corresponding network connection status index level according to the transmission condition of each categorized signaling and the index level classification table within a preset duration, and is specifically configured to: aiming at each Internet of things device, acquiring the success times of mobile signaling, the flow of flow signaling and the success times of connection request signaling in preset duration; determining a first preset interval in which the success times of the mobile signaling are located according to the index level classification table, and determining the mobile intensity level according to the first preset interval; determining a second preset interval in which the flow of the flow signaling is located according to the index level classification table, and determining a unit flow level according to the second preset interval; and determining a third preset interval in which the success times of the connection request signaling are positioned according to the index grade classification table, and determining the request frequency grade according to the third preset interval.
Optionally, the status type determining module 43 is specifically configured to: and determining the network connection state type of each Internet of things device according to the mobile intensity grade corresponding to the mobile intensity, the unit flow grade corresponding to the unit flow and the request frequency grade of the request frequency.
Alternatively, the single connection success rate determination module 44 is specifically configured to: based on the network connection state types of the devices of the Internet of things, respectively determining weight coefficients corresponding to various signaling, wherein the weight coefficients are positively correlated with the network connection state index level; and determining a single connection success rate corresponding to each Internet of things device according to the weight coefficients corresponding to the various signaling.
Optionally, the single connection success rate determining module 44 determines, according to weight coefficients corresponding to the multiple signaling, a single connection success rate corresponding to each internet of things device, which is specifically configured to: obtaining success proportions corresponding to various signaling in a preset time period; weighting and summing the success proportion corresponding to the various signaling and the corresponding weight coefficient to obtain a signaling score; and dividing the signaling score and the sum value of each weight coefficient to obtain a single connection success rate corresponding to each Internet of things device.
Optionally, the overall connection success rate determining module 45 is specifically configured to: carrying out product operation and summation on each single connection success rate and the corresponding equipment number of the Internet of things respectively to obtain a user total score; and dividing the total number of the users and the total number of the Internet of things devices to determine the overall connection success rate of all the Internet of things devices so as to realize the monitoring of the connection state of the Internet of things.
Fig. 5 is a block diagram of an electronic device, which may be the electronic device shown in fig. 5, according to an exemplary embodiment, including: a memory 51, a processor 52; memory 51 is a memory for storing processor-executable instructions; the processor 52 is configured to execute a computer program or instructions to implement the method for monitoring the connection state of the internet of things according to any one of the above embodiments.
The memory 51 is used for storing programs. In particular, the program may include program code including computer-operating instructions. The memory 51 may comprise a high-speed RAM memory or may further comprise a non-volatile memory (non-volatile memory), such as at least one disk memory.
The processor 52 may be a central processing unit (Central Processing Unit, abbreviated as CPU), or an application specific integrated circuit (Application Specific Integrated Circuit, abbreviated as ASIC), or one or more integrated circuits configured to implement embodiments of the present disclosure.
Alternatively, in a specific implementation, if the memory 51 and the processor 52 are implemented independently, the memory 51 and the processor 52 may be connected to each other and communicate with each other through the bus 53. The bus 53 may be an industry standard architecture (Industry Standard Architecture, abbreviated ISA) bus 53, an external device interconnect (Peripheral Component, abbreviated PCI) bus 53, or an extended industry standard architecture (Extended Industry Standard Architecture, abbreviated EISA) bus 53, among others. The bus 53 may be classified into an address bus 53, a data bus 53, a control bus 53, and the like. For ease of illustration, only one thick line is shown in fig. 5, but not only one bus 53 or one type of bus 53.
Alternatively, in a specific implementation, if the memory 51 and the processor 52 are integrated on a chip, the memory 51 and the processor 52 may perform the same communication through an internal interface.
A non-transitory computer readable storage medium, which when executed by a processor of an electronic device, causes the electronic device to perform the above-described method of monitoring an internet of things connection state of the electronic device.
Other embodiments of the present application will be apparent to those skilled in the art from consideration of the specification and practice of the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of the application following, in general, the principles of the application and including such departures from the present disclosure as come within known or customary practice within the art to which the application pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the application being indicated by the following claims.
It is to be understood that the present application is not limited to the precise arrangements and instrumentalities shown in the drawings, which have been described above, and that various modifications and changes may be effected without departing from the scope thereof. The scope of the application is limited only by the appended claims.
Claims (8)
1. The method for monitoring the connection state of the Internet of things is characterized by comprising the following steps:
acquiring various signaling in the communication process between each Internet of things device and an Internet of things platform within a preset duration;
determining network connection state indexes and network connection state index grades corresponding to the various signaling aiming at all the Internet of things equipment;
determining the network connection state type of each Internet of things device according to the network connection state index grade corresponding to each network connection state index;
determining a single connection success rate of each Internet of things device based on the network connection state type of each Internet of things device;
according to each single connection success rate, determining the overall connection success rate of each Internet of things device so as to realize the monitoring of the connection state of the Internet of things;
the network connection state index includes: moving intensity, unit flow and request frequency; the categorized signaling includes: mobile signaling, traffic signaling, and connection request signaling; for each internet of things device, determining the network connection state indexes and the network connection state index levels corresponding to the plurality of signaling comprises:
determining the network connection state index type corresponding to each signaling according to the corresponding relation between the signaling type stored in the signaling index table and the network connection state index type;
Classifying the signaling according to the network connection state index type corresponding to each signaling to obtain various classified signaling;
acquiring a pre-stored index level classification table, wherein the index level classification table stores the mapping relation between each network connection state index level and a preset interval corresponding to the signaling transmission condition after the classification;
acquiring the transmission condition of each classified signaling within a preset duration;
aiming at each Internet of things device, acquiring the success times of the mobile signaling, the flow of the flow signaling and the success times of the connection request signaling in a preset time period;
determining a first preset interval in which the success times of the mobile signaling are located according to an index level classification table, and determining the mobile intensity level according to the first preset interval;
determining a second preset interval in which the flow of the flow signaling is located according to an index level classification table, and determining the unit flow level according to the second preset interval;
and determining a third preset interval in which the success times of the connection request signaling are positioned according to the index grade classification table, and determining the request frequency grade according to the third preset interval.
2. The method according to claim 1, wherein determining the network connection status type of each internet of things device according to the network connection status index level corresponding to each network connection status index comprises:
and determining the network connection state type of each Internet of things device according to the moving intensity grade corresponding to the moving intensity, the unit flow grade corresponding to the unit flow and the request frequency grade of the request frequency.
3. The method of claim 1, wherein the determining a single connection success rate for each of the internet of things devices based on the network connection status type of each of the internet of things devices comprises:
based on the network connection state types of the devices of the Internet of things, respectively determining weight coefficients corresponding to the plurality of signaling, wherein the weight coefficients are positively correlated with the network connection state index level;
and determining a single connection success rate corresponding to each Internet of things device according to the weight coefficients corresponding to the various signaling.
4. The method of claim 3, wherein determining a single connection success rate for each of the internet of things devices according to the weight coefficients for the plurality of signaling comprises:
Obtaining success proportions corresponding to the various signaling in the preset time period;
carrying out weighted summation on the success proportion corresponding to the plurality of signaling and the corresponding weight coefficient to obtain signaling scores;
and dividing the signaling score and the sum of the weight coefficients to obtain a single connection success rate corresponding to each Internet of things device.
5. The method of claim 1, wherein determining the overall connection success rate of each internet of things device according to each single connection success rate to realize the monitoring of the connection state of the internet of things comprises:
performing product operation and summation on each single connection success rate and the corresponding equipment number of the Internet of things respectively to obtain a user total score;
and dividing the total number of the users and the total number of the Internet of things devices to determine the overall connection success rate of all the Internet of things devices so as to realize the monitoring of the connection state of the Internet of things.
6. An internet of things connection state monitoring device, the device comprising:
the signaling acquisition module is used for acquiring various signaling in the communication process between each Internet of things device and the Internet of things platform within a preset duration;
the index acquisition module is used for determining network connection state indexes and network connection state index grades corresponding to the various signaling aiming at all the Internet of things equipment;
The state type determining module is used for determining the network connection state type of each piece of Internet of things equipment according to the network connection state index grade corresponding to each piece of network connection state index;
the single connection success rate determining module is used for determining the single connection success rate of each Internet of things device based on the network connection state type of each Internet of things device;
the overall connection success rate determining module is used for determining the overall connection success rate of each piece of internet of things equipment according to each single connection success rate so as to monitor the connection state of the internet of things;
the network connection state index includes: moving intensity, unit flow and request frequency; the categorized signaling includes: mobile signaling, traffic signaling, and connection request signaling; the index acquisition module is specifically configured to:
determining the network connection state index type corresponding to each signaling according to the corresponding relation between the signaling type stored in the signaling index table and the network connection state index type;
classifying the signaling according to the network connection state index type corresponding to each signaling to obtain various classified signaling;
acquiring a pre-stored index level classification table, wherein the index level classification table stores the mapping relation between each network connection state index level and a preset interval corresponding to the signaling transmission condition after the classification;
Acquiring the transmission condition of each classified signaling within a preset duration;
aiming at each Internet of things device, acquiring the success times of the mobile signaling, the flow of the flow signaling and the success times of the connection request signaling in a preset time period;
determining a first preset interval in which the success times of the mobile signaling are located according to an index level classification table, and determining the mobile intensity level according to the first preset interval;
determining a second preset interval in which the flow of the flow signaling is located according to an index level classification table, and determining the unit flow level according to the second preset interval;
and determining a third preset interval in which the success times of the connection request signaling are positioned according to the index grade classification table, and determining the request frequency grade according to the third preset interval.
7. An electronic device, comprising: a processor, and a memory communicatively coupled to the processor;
the memory stores computer-executable instructions;
the processor executes computer-executable instructions stored in the memory to implement the method of any one of claims 1-5.
8. A computer readable storage medium having stored therein computer executable instructions which when executed by a processor are adapted to carry out the method of any one of claims 1-5.
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