CN114900452B - Internet of things connection state monitoring method, device, electronic equipment and medium - Google Patents

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

Method, device, electronic device, and medium for monitoring connection state of Internet of Things

technical field

The present application relates to the Internet of Things technology, and in particular to a method, device, electronic equipment and medium for monitoring the connection status of the Internet of Things.

Background technique

With the development of the Internet of Things technology, in order to provide better services for the Internet of Things devices, a method for monitoring the connection status of the Internet of Things has emerged.

At present, the IoT connection status monitoring method mainly defines different perception evaluation models for each type of user by subdividing and clustering user service characteristics, and then on this basis, the network perception of various IoT devices and the IoT platform Analyze connection status.

However, in the traditional method, subdivision and clustering are carried out based on the business characteristics of IoT devices. When there are a large number of IoT devices with different services, the method of establishing a perception evaluation model for each IoT device makes monitoring the connection status of the IoT not only The cost is large and the efficiency is low.

Contents of the invention

The present application provides a method, device, electronic device, and computer-readable storage medium for monitoring the connection state of the Internet of Things, which are used to solve the technical problem 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 the connection state of the Internet of Things, including:

Obtain a variety of signaling during the communication process between each IoT device and the IoT platform within a preset period of time;

For each IoT device, determine the network connection status indicators and network connection status indicator levels corresponding to the various signalings;

Determine the network connection status type of each IoT device according to the network connection status indicator level corresponding to each network connection status indicator;

Determine the individual connection success rate of each IoT device based on the network connection status type of each IoT device;

According to each individual connection success rate, the overall connection success rate of each Internet of Things device is determined, so as to realize the monitoring of the connection status of the Internet of Things.

In a second aspect, the present application provides a device for monitoring the connection state of the Internet of Things, including:

The signaling acquisition module is used to acquire various signalings during the communication process between each IoT device and the IoT platform within a preset period of time;

The index acquisition module is used to determine the network connection state index and the network connection state index level corresponding to the various signalings for each Internet of Things device;

A state type determining module, configured to determine the network connection state type of each IoT device according to the network connection state index level corresponding to each network connection state index;

A single connection success rate determination module, configured to determine the single connection success rate of each IoT device based on the network connection status type of each IoT device;

The overall connection success rate determination module is used to determine the overall connection success rate of each IoT device according to the individual connection success rates, so as to monitor the connection status of the IoT.

In a third aspect, the present application provides an electronic device, including: a processor, and a memory communicatively connected to the processor; the memory stores computer-executable instructions; the processor executes the computer-executable instructions stored in the memory, To realize the method described in the first aspect.

In a fourth aspect, the present application provides a computer-readable storage medium, where computer-executable instructions are stored in the computer-readable storage medium, and the computer-executable instructions are used to implement the method described in the first aspect when executed by a processor.

The Internet of Things connection status monitoring method, device, electronic device, and computer-readable storage medium provided by the application obtain various signalings during the communication process between each Internet of Things device and the Internet of Things platform within a preset period of time; for each The Internet of Things device determines the network connection state index and the network connection state index level corresponding to the various signalings; determines the network connection state type of each Internet of Things device according to the network connection state index level corresponding to each network connection state index; The network connection status type of each Internet of Things device determines the individual connection success rate of each Internet of Things device; according to each of the individual connection success rates, determine the overall connection success rate of each Internet of Things device, so as to realize the monitoring of the Internet of Things connection status. The method for monitoring the connection state of the Internet of Things only needs to determine the overall connection of each Internet of Things device based on various signalings obtained during the communication process between each Internet of Things device and the Internet of Things platform within a preset period of time. In order to realize the monitoring of the connection state of the Internet of Things, it is not necessary to establish a separate perception evaluation model for the Internet of Things devices with different industry characteristics, so it can reduce the cost of monitoring the connection state of the Internet of Things and improve the monitoring efficiency.

Description of 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 a kind of application scene diagram that realizes the Internet of Things connection state monitoring method of the embodiment of the present application;

FIG. 2 is a schematic flow diagram of a method for monitoring a connection state of the Internet of Things according to an embodiment of the present application;

FIG. 3 is a schematic flow diagram of a method for realizing an Internet of Things connection state monitoring method according to another embodiment of the present application;

Fig. 4 is a schematic structural diagram of the present application realizing the method for monitoring the connection status of the Internet of Things;

FIG. 5 is a schematic structural diagram of an electronic device used to implement the method for monitoring the connection status of the Internet of Things.

By means of the above drawings, specific embodiments of the present application have been shown, which will be described in more detail hereinafter. These drawings and text descriptions are not intended to limit the scope of the concept of the application in any way, but to illustrate the concept of the application for those skilled in the art by referring to specific embodiments.

Detailed ways

Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the following exemplary embodiments do not represent all implementations consistent with this application. Rather, they are merely examples of apparatuses and methods consistent with aspects of the present application as recited in the appended claims.

First, the nouns involved in this application are explained:

IoT devices: devices that can communicate with the IoT platform, such as electricity meters, refrigerators, etc.;

IoT platform: Located in the core network, it can communicate with IoT devices to realize the services of IoT devices.

Electronic equipment: monitor the signaling generated during the communication process between the IoT equipment and the IoT platform, so as to implement the method for monitoring the connection state of the IoT, and the electronic equipment can be a signaling monitoring platform.

In order to clearly understand the technical solutions of the present application, the solutions of the prior art are first introduced in detail.

In the traditional way, the IoT connection status monitoring method mainly defines different perception evaluation models for each type of user by subdividing and clustering the user business characteristics, and then on this basis, the perception of various IoT devices and the IoT platform Analyze the status of the network connection. However, when there are a large number of IoT devices with different business characteristics, the method of establishing a perception evaluation model for each IoT device requires the establishment of a large number of perception evaluation models, which will make monitoring the Internet of Things network connection status not only costly but also efficient. lower.

Therefore, when faced with the technical problems of the prior art, the inventor discovered through creative research that in order to reduce the cost of the connection state of the Internet of Things and improve its efficiency. Therefore, the various signalings generated during the communication process between each IoT device and the IoT platform are acquired by the electronic device, and for each IoT device, according to the various signalings, to determine the A single connection success rate, and determine the overall connection success rate of each IoT device based on each individual connection success rate, so as to monitor the connection status of the IoT. Since it is only necessary to determine the overall connection success rate of each IoT device based on the multiple signalings in the communication process between each IoT device and the IoT platform obtained within a preset period of time, so as to realize the The monitoring of the Internet connection status does not need to establish a separate perception evaluation model for IoT devices with different industry characteristics, so it can reduce the cost of monitoring the Internet of Things connection status and improve monitoring efficiency.

As shown in Figure 1, the application scenario of the method for monitoring the connection state of the Internet of Things provided by the embodiment of the present application, in the application scenario, the corresponding network architecture includes the Internet of Things device 10, the Internet of Things platform 20 and the electronic device 30, the Internet of Things platform 20 communicates with a plurality of IoT devices 10, and the IoT device 10 may include a plurality of IoT devices, for example, the number may be n. Only IoT device 1 and IoT device n are shown in Fig. 1 . During the communication process between multiple IoT devices 10 and the IoT platform 20, various signaling related to the business stage will be generated and transmitted between the two, and the electronic device 30 can obtain from the IoT platform 20 during the communication between the two. Various signaling transmitted between the IoT device 10 and the IoT platform 20 . After obtaining the various signalings, the electronic device 30 determines the network connection status indicators and the network connection status indicator levels corresponding to the various signalings according to the various signalings, and determines according to the network connection status indicator levels corresponding to each network connection status indicator. The network connection status type of each IoT device 10; determine the individual connection success rate of each IoT device 10 based on the network connection status type of each IoT device 10; determine the overall connection of each IoT device 10 according to each individual connection success rate Success rate to realize the monitoring of the connection status of the Internet of Things.

The data transmission method provided in this application aims to solve the above technical problems in the prior art.

The technical solution of the present application and how the technical solution of the present application solves the above technical problems will be described in detail below with specific embodiments. The following specific embodiments may be combined with each other, and the same or similar concepts or processes may not be repeated in some embodiments. Embodiments of the present application will be described below in conjunction with the accompanying drawings.

Fig. 2 is a method for monitoring the connection state of the Internet of Things provided by an embodiment of the present application. As shown in Fig. 2 , the execution subject of the method for monitoring the connection state of the Internet of Things provided by this embodiment is an electronic device. Then the method for monitoring the connection state of the Internet of Things provided in this embodiment includes the following steps:

Step 101, acquiring various signalings during the communication process between each IoT device and the IoT platform within a preset time period.

Among them, the Internet of Things device will initiate a communication connection to the Internet of Things platform due to the needs of business implementation. During the communication process between the Internet of Things device and the Internet of Things platform, various signaling will be generated due to information transmission between the two. The various signalings are the same signalings involved in the communication process between each IoT device and the IoT platform.

The preset duration has been pre-stored in the electronic device. When monitoring the network connection status of the Internet of Things platform, the electronic device can first obtain various signalings generated by the communication between the two within the preset duration, and then based on various Signaling analysis.

The way to acquire various signalings can be passively triggering acquisition according to the input instructions of managers, or setting a preset interval period, actively triggering acquisition every preset period or actively triggering acquisition in real time.

Step 102, for each IoT device, determine network connection status indicators and network connection status indicator levels corresponding to various signaling.

Wherein, the network connection status indicator is an indicator that can represent the network connection status. Each network connection state index can be divided into different network connection state index levels according to different network connection states. For each IoT device, each of the multiple signalings has a corresponding network connection status indicator, and correspondingly, multiple commands also have a corresponding network connection status indicator level.

Step 103: Determine the network connection status type of each IoT device according to the network connection status indicator level corresponding to each network connection status indicator.

Wherein, the network connection status type is a connection status type determined based on a network connection status index level. For each IoT device, there are various network connection status indicators determined according to various signaling, and the network connection status type of each IoT device can be determined according to the network connection status indicator level corresponding to each network connection status indicator. It can be understood that the network connection status type of the IoT device is a comprehensive situation of various network connection status index levels. For example, for an IoT device, the network connection status indicators corresponding to its various signalings include A, B and C, and the levels are S1, S2 and S3 respectively, then the network connection status type of the IoT device is (A-S1 , B-S2, C-S3).

Step 104, determine the single connection success rate of each IoT device based on the network connection status type of each IoT device.

Wherein, the single connection success rate refers to the connection success rate when a single IoT device communicates with the IoT platform. For an IoT device, its single connection success rate is closely related to the network connection status type of the IoT device. Therefore, the single connection success rate of each IoT device can be determined according to the network connection status type of each IoT device.

Step 105, according to each individual connection success rate, determine the overall connection success rate of each IoT device, so as to realize the monitoring of the connection status of the IoT.

Among them, the overall success rate refers to the connection success rate of all IoT devices when communicating with the IoT platform. According to the comprehensive analysis of the single connection success rate of each IoT device, the overall connection success rate of each IoT device can be obtained. The overall connection success rate reflects the network connection status of the IoT platform. If it is determined that the overall connection success rate is lower than the normal threshold, the electronic device generates an operation and maintenance work order and sends it to the IoT platform to instruct the operation and maintenance personnel to operate the IoT platform. dimension.

In this application, by obtaining a variety of signalings during the communication process between each IoT device and the IoT platform within a preset period of time; for each IoT device, determine the network connection status indicators and network connection status indicators corresponding to the various signaling Status indicator level; determine the network connection status type of each IoT device according to the network connection status indicator level corresponding to each network connection status indicator; determine the individual connection success rate of each IoT device based on the network connection status type of each IoT device; According to each individual connection success rate, determine the overall connection success rate of each IoT device, so as to realize the monitoring of the IoT connection status. The method for monitoring the connection state of the Internet of Things only needs to determine the overall connection of each Internet of Things device based on various signalings obtained during the communication process between each Internet of Things device and the Internet of Things platform within a preset period of time. In order to realize the monitoring of the connection state of the Internet of Things, it is not necessary to establish a separate perception evaluation model for the Internet of Things devices with different industry characteristics, so it can reduce the cost of monitoring the connection state of the Internet of Things and improve the monitoring efficiency.

As an optional implementation manner, as shown in FIG. 2, in this embodiment, step 102 includes the following steps:

Step 201, according to the corresponding relationship between the signaling type and the network connection status indicator type stored in the signaling indicator table, determine the network connection status indicator type corresponding to each signaling.

Wherein, the electronic device pre-stores a signaling index table, and the signaling index table stores correspondences between signaling types and network connection state index types. One type of signaling corresponds to one type of network connection state indicator, and there may be multiple types of signaling under one type of network connection state. Optionally, the signaling index table is as shown in Table 1:

Table 1 Signaling index table

Signaling type Signaling Chinese name Network connection status indicator type attach attach request frequency PDN Data network establishment request frequency TAU Tracking area update mobile strength SERVICE REQUEST Request for service request frequency ERAB Service bearer request frequency PAGING paging request frequency ho_X2 local base station switching mobile strength ho_S1 Cross-regional base station switching mobile strength TCP transmission control protocol unit flow HTTP Hypertext Transfer Protocol unit flow DNS domain name system unit flow

Wherein, when the signaling type is attach, the corresponding network connection status indicator type is request frequency; when the signaling type is ERAB, the corresponding network connection status indicator 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. Business completion rate (TCP, HTTP, DNS)). IoT devices in almost all industries will involve these four business stages.

In step 202, the signaling is classified according to the network connection state indicator type corresponding to each signaling, so as to obtain multiple types of classified signaling.

Wherein, after determining the network connection status indicator type corresponding to each signaling according to the signaling indicator table, the network connection status indicator types belonging to the same type of signaling can be divided into For the same type of signaling, the classified same type of signaling is regarded as a type of classified signaling. After classifying multiple signalings, there may be multiple signalings of the same type, so multiple classified signalings can be obtained. As shown in Table 1, the signaling types whose network connection status indicator type is mobile strength include TAU, ho_X2 and ho_S1, and the signaling types whose network connection status indicator type is request frequency include attach, PDN, SERVICE REQUEST, ERAB, PAGING, network The signaling type of the connection state indicator type as unit traffic includes TCP, HTTP, and DNS.

Step 203, for each IoT device, determine the corresponding network connection status indicator level according to the transmission status of each classified signaling within a preset time period.

Wherein, the transmission status of the classified signaling refers to the transmission status of the classified signaling during the communication process between the IoT device and the IoT platform. Optionally, the transmission status of the categorized signaling includes success or failure of the IoT platform response. According to the transmission status of each classified signaling within a preset period of time, the network connection status index level of the IoT device can be determined. Wherein, the level of the network connection status indicator refers to the level of the network connection status indicator. Optionally, acquire the cumulative number of successful responses and the cumulative number of response failures of each classified signaling within a preset time period, and determine the network connection status index level of the IoT device according to the cumulative number of successful responses and the cumulative number of response failures. For each Internet of Things device, according to the transmission status of each classified signaling within a preset period of time, the corresponding network connection status index level can be determined accordingly.

The IoT connection state monitoring method provided in this embodiment determines the network connection state index type corresponding to each signaling according to the correspondence between the signaling type stored in the signaling index table and the network connection state index type; According to the type of network connection status indicator corresponding to each signaling, the signaling is classified to obtain a variety of classified signaling; for each IoT device, the corresponding network is determined according to the transmission status of each classified signaling within a preset time period Connection status indicator level. Since the network connection status indicator level of each IoT device is determined according to the transmission status of each classified signaling within a preset period of time, the network connection status indicator level of each IoT device can be determined more objectively and accurately.

As an optional implementation manner, in this embodiment, step 203 includes the following steps:

Step 301 , obtaining a pre-stored index level classification table, which stores the mapping relationship between each network connection status index level and the corresponding preset range corresponding to the classified signaling transmission situation.

Wherein, the index level classification table is pre-stored in the electronic device, and the index level classification table stores the mapping relationship between each network connection status index level and the corresponding preset interval corresponding to the classified signaling transmission situation. In the indicator level classification table, a plurality of preset intervals are correspondingly divided based on the transmission status of each classified signaling. An optional indicator level classification table, as shown in Table 2, when the network connection status indicator level is high mobility intensity, the corresponding pre-set interval for the classified signaling transmission is greater than 20 times of success. When the network connection status index level is low unit traffic, the corresponding preset interval for the signaling transmission after classification is less than 18432k bytes per second.

Table 2 Index Classification Table

Network connection status indicator level Corresponding to the preset interval corresponding to the signaling transmission situation after classification high mobility The number of successes is greater than 20 Medium mobile strength The number of successes is greater than 3 and less than or equal to 20 low mobility The number of successes is less than or equal to 3 high unit flow Transmission bytes per second is greater than or equal to 18432k low unit flow Transfer bytes per second is less than 18432k High request frequency The number of successes is greater than or equal to 800 Low request frequency The number of successes is less than 800

Step 302, acquiring the transmission status of each classified signaling within a preset time period.

Among them, the way to obtain the transmission status of various classified signaling within the preset time length can be passive trigger acquisition according to the input command of the manager, or set a preset interval period, actively trigger acquisition every preset period or real-time Active trigger acquisition.

Step 303, for each IoT device, determine the corresponding network connection status index level according to the transmission status of each classified signaling within a preset time period and the index level classification table.

Wherein, for each IoT device, according to the transmission status of each classified signaling within a preset time period, the corresponding network connection status index level can be searched and determined in the index level classification table.

The method for monitoring the connection state of the Internet of Things provided in this embodiment obtains a pre-stored index level classification table, and the index level classification table stores the information between each network connection state index level and the corresponding preset interval corresponding to the classified signaling transmission situation. Mapping relationship; obtain the transmission status of each classified signaling within the preset time length; for each IoT device, determine the corresponding network connection status indicators according to the transmission status of each classified signaling within the preset time length and the index level classification table grade. Since the network connection status index level of each IoT device is determined based on the transmission status of each classified signaling in the index level classification table, the network connection status index level of the IoT device can be further subdivided to make it more acurrate.

As an optional implementation, in this embodiment, the network connection status indicators include: mobile strength, unit traffic, and request frequency; the classified signaling includes: mobile signaling, traffic signaling, and connection request signaling; step 303 , including the following steps:

Step 401 , for each IoT device, obtain the number of successful mobile signaling, the flow size of traffic signaling, and the successful number of connection request signaling within a preset time period.

Among them, the mobility intensity refers to the frequency of switching and updating of the base station accessed by the IoT device. The higher the frequency of switching and updating of the base station, the greater the mobility intensity. Unit traffic refers to the traffic volume per unit time when information is transmitted between IoT devices and IoT platforms. Request frequency refers to the frequency with which IoT devices request to access the IoT platform.

Mobile signaling refers to the signaling corresponding to the network connection status indicator as the mobile intensity, traffic signaling refers to the signaling corresponding to the network connection status indicator as the unit traffic, and connection request signaling refers to the network connection status indicator as the request frequency. corresponding signaling.

The success times and failure times of the mobile signaling and the connection request signaling within the preset time period can be determined according to the return signaling of the mobile signaling and the connection request signaling. Because, the returned signaling carries information about whether the connection of the mobile signaling and the connection request signaling is successful. For example, the Internet of Things device sends mobile signaling A1, and the return signaling of the corresponding mobile signaling A1 of the Internet of Things platform is A1'. If the message carried in the returned signaling is that the mobile signaling A1 fails to connect, record the mobile signaling A1 The connection failed once. The traffic volume of the traffic signaling within the preset time period can be determined by obtaining the traffic per unit time during the communication connection process between the IoT device and the IoT platform. Usually, the flow size of the traffic signaling is obtained after the IoT device sends the traffic signaling to the IoT platform and receives a successful response.

Step 402: Determine the first preset interval in which the number of successes of mobile signaling is located according to the index level classification table, and determine the mobility intensity level according to the first preset interval.

Wherein, 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 mobile signaling. According to the number of successful mobile signaling within the preset time period, the preset interval in which it is located is determined as the first preset interval, and the mobile intensity level of the IoT device is determined according to the levels of the first preset interval in the three preset intervals. For example, if the number of successes of 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 is medium among the three preset intervals. . Therefore, the mobile intensity level is medium mobile intensity. In this embodiment, the index level classification table is not limited to being divided into three corresponding preset intervals according to the success times of mobile signaling, and may be further subdivided into more than three preset intervals. Generally, the finer the division, the more grades are obtained, and a richer and more accurate classification can be obtained when determining the grade of the network connection status indicator.

Step 403: Determine the second preset interval in which the flow size of the traffic signaling is located according to the index level classification table, and determine the unit traffic level according to the second preset interval.

Wherein, as shown in Table 2, the index level classification table is divided into at least two corresponding preset intervals according to the traffic size of the traffic signaling. According to the traffic size of the traffic signaling within the preset time length, the preset interval in which it is located is determined as the second preset interval, and the unit traffic level of the IoT device is determined according to the level of the second preset interval in the two preset intervals. For example, if the traffic size of traffic signaling is 1800k bytes per second, the corresponding second preset interval is "transmission bytes per second is less than 18432k", and the second preset interval is between two preset intervals The rank in is lower. Therefore, the unit flow rating is low unit flow. In this embodiment, the index level classification table is not limited to being divided into two corresponding preset intervals according to the traffic size of the traffic signaling, but may be further subdivided into more than two preset intervals. Generally, the finer the division, the more grades are obtained, and a richer and more accurate classification can be obtained when determining the grade of the network connection status indicator.

Step 404: Determine the third preset interval in which the success times of the connection request signaling is located according to the index level classification table, and determine the request frequency level according to the third preset interval.

Wherein, as shown in Table 2, at least two corresponding preset intervals are divided in the index level classification table according to the success times of the connection request signaling. According to the number of successful connection request signaling within the preset time period, determine the preset interval it is in as the third preset interval, and determine the request frequency level of the IoT device according to the level of the third preset interval in the two preset intervals . For example, if the number of successes of the connection request signaling is 801, the corresponding third preset interval is "the number of successes is greater than or equal to 800", and the third preset interval is at the top of the two preset intervals. . Therefore, the request frequency level is 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 times of the connection request signaling, and may be further subdivided into more than two preset intervals. Generally, the finer the division, the more grades are obtained, and a richer and more accurate classification can be obtained when determining the grade of the network connection status indicator.

The Internet of Things connection state monitoring method provided in this embodiment, for each Internet of Things device, obtains the number of successes of mobile signaling, the flow size of traffic signaling, and the number of successes of connection request signaling within a preset period of time; according to the index level classification table Determine the first preset interval where the number of successful times of mobile signaling is located, and determine the mobile intensity level according to the first preset interval; Set an interval, and determine the unit traffic level according to the second preset interval; determine the third preset interval in which the number of successful connection request signaling is located according to the index level classification table, and determine the third preset interval according to the third preset interval. Determine the request frequency level. Since the network connection status index level is further determined according to the number of successes of mobile signaling, the flow size of flow signaling and the number of successes of connection request signaling within the preset time period, and the preset intervals respectively in the index level classification table definite. It refines and quantifies the various factors that can best reflect the transmission situation, thus making the determination of the network connection status index level more accurate.

As an optional implementation, in this embodiment, step 103 includes: determining the network connection of each IoT device according to the mobility intensity level corresponding to the mobility intensity, the unit traffic level corresponding to the unit flow rate, and the request frequency level of the request frequency status type.

Specifically, after determining the network connection status indicators and network connection status indicator levels corresponding to various signaling for each IoT device, the mobility intensity level, unit traffic level, and request frequency level of each IoT device can be determined. The intensity level, unit traffic level and request frequency level are combined to form the network connection status type of each IoT device.

For example, for IoT device W1, its corresponding mobility level is medium mobility level, its corresponding unit traffic level is high unit traffic level, and its corresponding request frequency level is low request frequency level, then the network connection status type of this IoT device W1 It is medium mobile intensity-high unit traffic-low request frequency.

The IoT connection status monitoring method provided in this embodiment determines the network connection status type of each IoT device according to the mobility intensity level corresponding to the mobility intensity, the unit traffic level corresponding to the unit flow rate, and the request frequency level of the request frequency. The network connection status type of the IoT device is determined based on various network connection status indicators, that is, the network connection status type is considered in multiple dimensions, so it is convenient to determine the specific performance of the network connection status of each IoT device in each dimension .

As an optional implementation manner, in this embodiment, step 104 includes the following steps:

Step 501, based on the network connection state type of each Internet of Things device, respectively determine the weight coefficients corresponding to various signaling, and the weight coefficients are positively correlated with the network connection state index levels.

Wherein, for each IoT device, the weight coefficient corresponding to each signaling is determined according to the network connection status type of the IoT device. The weight coefficient corresponding to each signaling is positively correlated with the level of the network connection status index. Generally, the higher the level of mobility intensity, the greater the weight coefficient corresponding to mobile signaling; the higher the unit traffic level, the greater the weight coefficient corresponding to traffic signaling ; The higher the request frequency level, the greater the weight coefficient corresponding to the connection request signaling.

Table 3 Weight coefficient relationship table

Table 3 is a weight coefficient relationship table, which is pre-stored in the electronic device. The weight coefficient relationship table stores the weight coefficient correspondence between the network connection status type and the signaling type of the Internet of Things device.

1-12 in the network connection status types of IoT devices in Table 3 correspond to:

(1) Low unit traffic - low request frequency - low mobile intensity, (2) Low unit traffic - low request frequency - high mobile intensity, (3) Low unit traffic - low request frequency - medium mobile intensity, (4) Low unit traffic - High request frequency - low mobile intensity, (5) low unit traffic - high request frequency - high mobile intensity, (6) low unit traffic - high request frequency - medium mobile intensity, (7) high unit traffic - low request frequency - low Mobile intensity, (8) high unit traffic - low request frequency - high mobile intensity, (9) high unit traffic - low request frequency - medium mobile intensity, (10) high unit traffic - high request frequency - low mobile intensity, (11) High unit traffic - high request frequency - high mobile intensity, (12) high unit traffic - high request frequency - medium mobile intensity.

For example, when the network connection status type of the IoT device is 5, taking TAU as an example, the weight coefficient corresponding to this type of signaling is 3.

Step 502: Determine the success rate of a single connection corresponding to each IoT device according to the weight coefficients corresponding to various signaling.

Optionally, weighted summation may be performed according to weight coefficients corresponding to various signalings and success rates of the various signalings, so as to obtain a single connection success rate corresponding to each IoT device.

The IoT connection status monitoring method provided in this embodiment is based on the network connection status types of each IoT device, and respectively determines the weight coefficients corresponding to various signalings, and the weight coefficients are positively correlated with the network connection status index level; according to the various signaling The corresponding weight coefficient determines the individual connection success rate corresponding to each IoT device. Since the weights corresponding to various signaling are determined according to the type of network connection state, the accuracy of the single success rate of each IoT device determined based on this can be guaranteed.

As an optional implementation manner, in this embodiment, step 502 includes the following steps:

Step 601 , acquiring success ratios corresponding to various signaling within a preset time period.

Wherein, the electronic device may determine success ratios corresponding to the various signalings according to the success times of the various signalings within a preset time period.

Specifically, for mobile signaling, the success times can determine the success ratio corresponding to mobile signaling; for connection request signaling, the success times can determine the success ratio corresponding to connection request signaling; for traffic signaling, the success times can be Determine the success ratio corresponding to traffic signaling.

The electronic device stores a signaling success rate table, which stores the correspondence between the signaling type and the success rate within a preset time period. The correspondence is shown in Table 4. Within the preset time period, the signaling type corresponds to TAU. The success ratio is 90.3%, which means that the success times of TAU account for 90.3% of the total times.

Table 4 Signaling success rate table

Signaling type success rate 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

Step 602: Perform weighted summation of success ratios and corresponding weight coefficients corresponding to various signalings to obtain a signaling score.

Step 603: Perform a division operation on the signaling score and the sum of each weight coefficient to obtain a single connection success rate corresponding to each IoT device.

Specifically, the calculation formula of a single connection success rate of an IoT device is: single connection success rate=(success ratio of signaling type 1*weight coefficient of signaling type 1+success ratio of signaling type 2*signaling type 2 The weight coefficient of + ... + the success ratio of signaling type n * the weight coefficient of signaling type n)/(the weight coefficient of signaling type 1 + the weight coefficient of signaling type 2 + ... + the weight coefficient of signaling type n) . Among them, (success ratio of signaling type 1*weighting coefficient of signaling type 1+success ratio of signaling type 2*weighting coefficient of signaling type 2+...+success ratio of signaling type n*success ratio of signaling type n weight coefficient) bracket content part is the signaling score. Combining Table 2 and Table 3, taking the network connection status type 1 of the IoT device as an example, the single connection success rate of the IoT device = (88.6*1+99.99*1+87.56*1+0*1+1.56* 1+0*1+100*1+90.3*1+0*1+83.29*1+98.74*1+100*1)/12=62.5.

The method for monitoring the Internet of Things connection status provided in this embodiment obtains the success ratios corresponding to various signaling within a preset period of time; performs weighted summation of the success ratios corresponding to various signalings and corresponding weight coefficients to obtain signaling scores; The signaling score is divided by the sum of each weight coefficient to obtain the single connection success rate corresponding to each IoT device. Since the success rate of a single connection is obtained by weighting and summing the success ratios and weight coefficients corresponding to various signalings, and then performing a division operation with the sum of each weight coefficient, the calculation of the success rate of a single connection can be made more accurate.

As an optional implementation manner, in this embodiment, step 105 includes the following steps:

In step 701, the product of each individual connection success rate and the corresponding number of IoT devices is calculated and summed to obtain the total score of the user.

Step 702, divide the total user score by the total number of IoT devices to determine the overall connection success rate of each IoT device, so as to monitor the connection status of the IoT.

Specifically, the overall connection success rate of each IoT device = (single connection success rate of an IoT device whose network connection status type is 1 * the corresponding number of IoT devices + ... + the number of IoT devices whose network connection status type is n Single connection success rate * corresponding number of IoT devices)/(total number of IoT devices). Wherein, n is a natural number, and only 12 types are shown in Table 3, but according to the fineness of interval division, it may not be limited to 12 types according to actual needs. The total number of IoT devices is the sum of the number of IoT devices corresponding to various network connection status types within a preset period of time.

The IoT connection status monitoring method provided in this embodiment is to multiply and sum each individual connection success rate with the corresponding number of IoT devices to obtain the total user score; divide the total user score by the total number of IoT devices , to determine the overall connection success rate of each IoT device, so as to monitor the connection status of the IoT. Based on each individual success rate and the corresponding number of IoT devices, the overall connection success rate of each IoT device is determined, so that it is not necessary to establish a separate perception evaluation model for IoT devices with different industry characteristics to monitor the connection status of the IoT. 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 status monitoring device 40 provided by an embodiment of the present application. The IoT connection state monitoring device 40 includes: a signaling acquisition module 41 , an index acquisition module 42 , a state type determination module 43 , a single connection success rate determination module 44 and an overall connection success rate determination module 45 .

Wherein, the signaling acquisition module 41 is used to acquire various signalings during the communication process between each IoT device and the IoT platform within a preset time period. The indicator acquisition module 42 is configured to determine network connection status indicators and network connection status indicator levels corresponding to various signalings for each IoT device. The status type determining module 43 is configured to determine the network connection status type of each IoT device according to the network connection status index level corresponding to each network connection status indicator. A single connection success rate determining module 44, configured to determine the single connection success rate of each IoT device based on the network connection status type of each IoT device. The overall connection success rate determination module 45 is configured to determine the overall connection success rate of each IoT device according to each individual connection success rate, so as to monitor the connection status of the IoT.

Optionally, the indicator acquisition module 42, for each IoT device, determines the network connection status indicators and network connection status indicator levels corresponding to various signaling, specifically for: according to the signaling type and network status stored in the signaling indicator table Correspondence between connection status indicator types, determine the network connection status indicator type corresponding to each signaling; classify the signaling according to the network connection status indicator type corresponding to each signaling, to obtain a variety of classified signaling ; For each IoT device, determine the corresponding network connection status index level according to the transmission status of each classified signaling within a preset time period.

Optionally, the indicator acquisition module 42, for each IoT device, determines the corresponding network connection status indicator level according to the transmission status of each classified signaling within a preset period of time, specifically for: acquiring a pre-stored indicator level classification table , the index level classification table stores the mapping relationship between each network connection status index level and the corresponding preset interval of the corresponding classified signaling transmission situation; obtains the transmission situation of each classified signaling within the preset time length; for each The Internet of Things device determines the corresponding network connection status index level according to the transmission status of each classified signaling within the preset time period and the index level classification table.

Optionally, the index acquisition module 42, for each IoT device, determines the corresponding network connection status index level according to the transmission status of each classified signaling within a preset time period and the index level classification table, specifically for: for each IoT device The networked device obtains the number of successes of mobile signaling, the flow size of traffic signaling, and the number of successes of connection request signaling within a preset time period; determines the first preset interval of the number of successes of mobile signaling according to the index level classification table , and determine the mobile intensity level according to the first preset interval; determine the second preset interval according to the traffic size of the traffic signaling in the index level classification table, and determine the unit according to the second preset interval Traffic level: determine the third preset interval in which the success times of the connection request signaling is located according to the index level classification table, and determine the request frequency level according to the third preset interval.

Optionally, the state type determination module 43 is specifically configured to: determine the network connection state type of each IoT device according to the movement intensity level corresponding to the movement intensity, the unit flow level corresponding to the unit flow rate, and the request frequency level of the request frequency.

Optionally, the single connection success rate determination module 44 is specifically configured to: determine the weight coefficients corresponding to various signalings based on the network connection state types of each IoT device, and the weight coefficients are positively correlated with the network connection state index level; The weight coefficients corresponding to various signalings determine the success rate of a single connection corresponding to each IoT device.

Optionally, the single connection success rate determination module 44 determines the single connection success rate corresponding to each IoT device according to the weight coefficients corresponding to various signalings, specifically for: obtaining the success rate corresponding to various signalings within a preset time period Proportion; the weighted sum of the success ratios corresponding to various signaling and the corresponding weight coefficients is obtained to obtain the signaling score; the signaling score is divided by the sum of each weight coefficient to obtain a single connection corresponding to each IoT device Success rate.

Optionally, the overall connection success rate determining module 45 is specifically used to: multiply each individual connection success rate with the corresponding number of IoT devices and sum to obtain the total user score; combine the user total score with the IoT device number The total number is divided to determine the overall connection success rate of each IoT device, so as to monitor the connection status of the IoT.

FIG. 5 is a block diagram of an electronic device according to an exemplary embodiment. The device may be, as shown in FIG. 5 , an electronic device including: a memory 51 and a processor 52; memory; the processor 52 is used to run computer programs or instructions, so as to realize the method for monitoring the connection state of the Internet of Things provided by any one of the above embodiments.

Among them, the memory 51 is used to store programs. Specifically, the program may include program code, and the program code includes computer operation instructions. The memory 51 may include a high-speed RAM memory, and may also include a non-volatile memory (non-volatile memory), such as at least one magnetic disk memory.

Wherein, the processor 52 may be a central processing unit (Central Processing Unit, referred to as CPU), or a specific integrated circuit (Application Specific Integrated Circuit, referred to as ASIC), or is configured to implement one or multiple integrated circuits.

Optionally, in terms of 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 through the bus 53 to complete mutual communication. The bus 53 may be an industry standard architecture (Industry Standard Architecture, referred to as ISA) bus 53, a peripheral component interconnect (Peripheral Component, referred to as PCI) bus 53 or an extended industry standard architecture (Extended Industry Standard Architecture, referred to as EISA) bus 53 wait. The bus 53 can be divided into an address bus 53, a data bus 53, a control bus 53, and the like. For ease of representation, only one thick line is used in FIG. 5 , but it does not mean that there is only one bus 53 or one type of bus 53 .

Optionally, in terms of specific implementation, if the memory 51 and the processor 52 are integrated and implemented on one chip, the memory 51 and the processor 52 may complete communication between the memory 51 and the processor 52 through an internal interface.

A non-transitory computer-readable storage medium, when the instructions in the storage medium are executed by the processor of the electronic device, the electronic device can execute the above-mentioned method for monitoring the Internet of Things connection status of the electronic device.

Other embodiments of the present application will be readily 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 modification, use or adaptation of the application, these modifications, uses or adaptations follow the general principles of the application and include common knowledge or conventional technical means in the technical field not disclosed in the application . The specification and examples are to be considered exemplary only, with a true scope and spirit of the application indicated by the following claims.

It should be understood that the present application is not limited to the precise constructions which have been described above and shown in the accompanying drawings, and various modifications and changes may be made 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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