CN116017344A - Data processing method, device, electronic device and storage medium of Internet of Things terminal - Google Patents

Abstract

The application provides a data processing method and device of an internet of things terminal, electronic equipment and a storage medium, and relates to the technical field of the internet of things. By arranging the relay node in the Internet of things system, data acquired by the Internet of things terminal can be sent to the relay node first, the relay node can determine a matched data reporting mode according to data acquisition scene parameters to process the acquired data sent by the Internet of things terminal, and finally, the relay node reports a data processing result to the base station. By introducing the relay node, the problem that the data is possibly lost due to the fact that the data is directly reported to the base station due to the fact that the storage and calculation power of the terminal of the Internet of things are weak can be solved. In addition, the data processing is performed according to the data acquisition scene parameters by determining the adaptive data reporting mode, so that the data reporting mode is more adaptive to the current scene, the stability of data reporting is ensured, and the data processing and reporting efficiency are effectively improved.

Description

Data processing method, device, electronic device and storage medium of Internet of Things terminal

technical field

The present application relates to the technical field of the Internet of Things, and in particular, to a data processing method, device, electronic device, and storage medium of an Internet of Things terminal.

Background technique

Passive Internet of Things is an Internet of Things device that is powered by external energy collection or limited energy storage capacity. Because of its simple structure, maintenance-free life cycle, and environmental friendliness, it is widely used in smart Sensor data acquisition scenarios such as power grids and smart farms are widely used.

Usually, the passive IoT terminal directly reports the collected data to the base station for analysis after processing. However, due to the extremely limited storage capacity and computing power of the passive IoT terminal, when the terminal collects a large amount of data, If the data is not processed and reported to the base station in time, it will easily lead to terminal memory overflow and loss of key data, resulting in poor reliability of data reporting.

Contents of the invention

The purpose of this application is to provide a data processing method, device, electronic equipment, and storage medium for an IoT terminal in order to improve the stability and reporting efficiency of IoT terminal data reporting.

In order to achieve the above purpose, the technical solution adopted in the embodiment of the present application is as follows:

In the first aspect, the embodiment of the present application provides a data processing method of an Internet of Things terminal, which is applied to a relay node in an Internet of Things system, and the Internet of Things system includes: a plurality of Internet of Things terminals, the relay node, and The base station, the relay node communicates with each Internet of Things terminal and the base station respectively; the method includes:

According to the data collection scene parameters, determine the data reporting method, the data collection scene parameters include at least one of the following: data collection volume, the number of Internet of Things terminals bound to the relay node, and the power of the Internet of Things terminals;

Receive the collected data sent by the Internet of Things terminal, process the collected data according to the data reporting manner, generate a data processing result, and report the data processing result to the base station.

Optionally, according to the data collection scene parameters, determine the data reporting method, including:

If the amount of data collected is less than the first threshold and the number of IoT terminals bound to the relay node satisfies the first number, then determine that the data reporting method is complete data reporting;

If the amount of data collected is greater than the second threshold, it is determined that the data reporting method is incremental data reporting;

If the amount of data collected is greater than the second threshold and the power of the Internet of Things terminal is lower than the preset power, it is determined that the data reporting method is statistical value incremental data reporting.

Optionally, the processing the collected data according to the data reporting method to generate a data processing result includes:

If the data reporting method is complete data reporting, then generate a data sequence corresponding to the current collection period according to the received collection data at each moment in the current collection period;

According to the collected data at each moment, respectively determine the data mean value and data variance corresponding to the current collection cycle;

According to the data sequence corresponding to the current collection period, and the data mean value and data variance corresponding to the current collection period, the data processing result of the current collection period is obtained.

Optionally, the processing the collected data according to the data reporting method to generate a data processing result includes:

If the data reporting method is incremental data reporting, then according to the received collected data at each moment in the current collection cycle, respectively determine the difference between the collected data at adjacent moments, and obtain the incremental sequence of collected data corresponding to the current collection cycle;

The data processing result of the current collection period is obtained according to the collection data increment sequence corresponding to the current collection period and the collection data at the first moment in the current collection period.

Optionally, the processing the collected data according to the data reporting method to generate a data processing result includes:

If the data reporting method is statistical value incremental data reporting, then according to the received collected data at each time in at least two continuous collection periods, generate a mean value increment sequence and a variance increment sequence corresponding to the continuous collection period, the mean value The sequence of increments includes the difference between the means of adjacent acquisition periods, the sequence of variance increments comprises the difference in variance of adjacent acquisition periods;

According to the data mean value and data variance corresponding to the first acquisition period, and the mean value increment sequence and variance increment sequence, the data processing results of the continuous acquisition periods are obtained.

Optionally, the method also includes:

Start the timer, receive the collection data collected by the Internet of Things terminal at each time, and stop the collection after the timing expires, so as to obtain the collection data at each time in the current collection cycle.

Optionally, the method also includes:

Start the counter, receive the collection data collected by the Internet of Things terminal at each moment, and stop the collection after the amount of the received collection data meets the counting times of the counter, and obtain the collection data in the current collection period.

In the second aspect, the embodiment of the present application also provides a data processing device for an Internet of Things terminal, which is applied to a relay node in an Internet of Things system, and the Internet of Things system includes: a plurality of Internet of Things terminals, the relay node and a base station, the relay node communicates with each Internet of Things terminal and base station respectively; the device includes: a determination module and a processing module;

The determination module is configured to determine the data reporting method according to the data collection scene parameters, and the data collection scene parameters include at least one of the following: data collection volume, the number of IoT terminals bound to the relay node, and the IoT terminal power;

The processing module is configured to receive the collected data sent by the Internet of Things terminal, process the collected data according to the data reporting manner, generate a data processing result, and report the data processing result to the base station.

Optionally, the determining module is specifically configured to determine that the data reporting method is complete data reporting if the amount of data collected is less than the first threshold and the number of IoT terminals bound to the relay node satisfies the first number;

If the amount of data collected is greater than the second threshold, it is determined that the data reporting method is incremental data reporting;

If the amount of data collected is greater than the second threshold and the power of the Internet of Things terminal is lower than the preset power, it is determined that the data reporting method is statistical value incremental data reporting.

Optionally, the processing module is specifically configured to generate a data sequence corresponding to the current collection period according to the received collection data at each moment in the current collection period if the data reporting method is complete data reporting;

According to the collected data at each moment, respectively determine the data mean value and data variance corresponding to the current collection cycle;

According to the data sequence corresponding to the current collection period, and the data mean value and data variance corresponding to the current collection period, the data processing result of the current collection period is obtained.

Optionally, the processing module is specifically configured to, if the data reporting method is incremental data reporting, respectively determine the difference between the collected data at adjacent moments according to the received collected data at each time in the current collection period, Obtain the incremental sequence of collected data corresponding to the current collection cycle;

The data processing result of the current collection period is obtained according to the collection data increment sequence corresponding to the current collection period and the collection data at the first moment in the current collection period.

Optionally, the processing module is specifically configured to generate the mean value corresponding to the continuous collection period according to the received collection data at each time in at least two continuous collection periods if the data reporting method is statistical value incremental data reporting Incremental sequence and variance incremental sequence, the mean value incremental sequence includes the difference between the mean values of adjacent acquisition periods, and the variance increment sequence includes the variance difference of adjacent acquisition periods;

According to the data mean value and data variance corresponding to the first acquisition period, and the mean value increment sequence and variance increment sequence, the data processing results of the continuous acquisition periods are obtained.

Optionally, the device further includes: a receiving module;

The receiving module is configured to start a timer, receive the collected data collected by the Internet of Things terminal at each moment, and stop the collection after the timing expires, so as to obtain the collected data at each moment in the current collection period.

The receiving module is also used to start a counter, receive the collected data collected by the Internet of Things terminal at each moment, and stop collecting after the number of received collected data meets the number of times counted by the counter, and obtain of collected data.

In a third aspect, an embodiment of the present application provides an electronic device, including: a processor, a storage medium, and a bus. The storage medium stores machine-readable instructions executable by the processor. When the electronic device is running, the processor and the storage medium Through bus communication, the processor executes machine-readable instructions, so as to execute the steps of the data processing method for the IoT terminal as provided in the first aspect.

In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is run by a processor, the data processing method for an Internet of Things terminal as provided in the first aspect is executed. step.

The beneficial effect of this application is:

The present application provides a data processing method, device, electronic equipment and storage medium for an Internet of Things terminal. By deploying a relay node in the Internet of Things system, the data collected by the Internet of Things terminal can be sent to the relay node first, and the relay node According to the parameters of the data collection scene, the node can determine the matching data reporting method to process the collected data sent by the IoT terminal, and finally the relay node will report the data processing result to the base station. By introducing relay nodes, the problem of possible data loss caused by directly reporting data to the base station due to weak storage and computing power of IoT terminals can be alleviated. In addition, determining the adapted data reporting method according to the data collection scene parameters for data processing can make the data reporting method more suitable for the current scene, thereby ensuring the stability of data reporting and effectively improving the efficiency of data processing and reporting.

Description of drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following will briefly introduce the accompanying drawings used in the embodiments. It should be understood that the following drawings only show some embodiments of the present application, so It should be regarded as a limitation on the scope, and those skilled in the art can also obtain other related drawings based on these drawings without creative work.

FIG. 1 is a schematic diagram of an architecture of an Internet of Things system provided by an embodiment of the present application;

FIG. 2 is a first schematic flow diagram of a data processing method for an Internet of Things terminal provided by an embodiment of the present application;

FIG. 3 is a second schematic flow diagram of a data processing method for an IoT terminal provided in an embodiment of the present application;

FIG. 4 is a third schematic flow diagram of a data processing method for an Internet of Things terminal provided by an embodiment of the present application;

FIG. 5 is a fourth schematic flowchart of a data processing method for an IoT terminal provided in an embodiment of the present application;

FIG. 6 is a schematic flow diagram five of a data processing method for an Internet of Things terminal provided by an embodiment of the present application;

FIG. 7 is a schematic diagram of a data processing device for an Internet of Things terminal provided by an embodiment of the present application;

FIG. 8 is a schematic structural diagram of an electronic device provided by an embodiment of the present application.

Detailed ways

In order to make the purpose, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. It should be understood that the appended The figures are only for the purpose of illustration and description, and are not used to limit the protection scope of the present application. Additionally, it should be understood that the schematic drawings are not drawn to scale. The flowcharts used in this application illustrate operations implemented in accordance with some embodiments of the application. It should be understood that the operations of the flowcharts may be performed out of order, and steps that have no logical context may be performed in reverse order or concurrently. In addition, those skilled in the art may add one or more other operations to the flowchart or remove one or more operations from the flowchart under the guidance of the content of the present application.

In addition, the described embodiments are only some of the embodiments of the application, not all of the embodiments. The components of the embodiments of the application generally described and illustrated in the figures herein may be arranged and designed in a variety of different configurations. Accordingly, the following detailed description of the embodiments of the application provided in the accompanying drawings is not intended to limit the scope of the claimed application, but merely represents selected embodiments of the application. Based on the embodiments of the present application, all other embodiments obtained by those skilled in the art without making creative efforts belong to the scope of protection of the present application.

It should be noted that the term "comprising" will be used in the embodiments of the present application to indicate the existence of the features stated later, but does not exclude the addition of other features.

Narrowband Internet of Things (NB-IoT) is a narrowband Internet of Things technology based on cellular networks. Supports cellular data connections for low-power devices over wide area networks, also known as Low Power Wide Area Networks (LPWA). NB-IoT uses licensed frequency bands and has the characteristics of wide coverage, multiple connections, low speed, and low power consumption. At present, 3GPP (3rd Generation Partnership Project, 3rd Generation Partnership Project) has completed the standardization of NB-IoT technology. This type of low power wide area network technology solution has solved some user needs with lower cost, lower power consumption and wide connection. At present, this technical solution has been applied in various vertical industries, such as remote meter reading, asset tracking, smart parking and other scenarios.

With the increase of IoT nodes, the cost of arranging and maintaining batteries inside IoT devices will be very high in the future. In addition, there are still many scenarios and requirements in reality, which cannot be solved by the current NB-IoT technical solution, such as:

1. Application scenarios under extreme environmental conditions, such as high pressure, extremely high/low temperature, humid and corrosive environment, etc.;

2. The equipment requires extremely low complexity/minimum size (such as millimeter-level thickness), long-life maintenance-free requirements;

3. Scenarios where traditional battery power supply methods are not available.

With the continuous advancement of energy harvesting technology, the passive Internet of Things (Ambient IoT) has emerged as the times require, that is, the Internet of Things without batteries. Passive IoT is an IoT device that is powered by external energy harvesting or by limited energy storage capabilities (such as capacitors), and obtains energy through radio frequency signals, solar energy, light energy, motion energy, and temperature differences. , using a dedicated energy harvesting device, energy can be collected to power IoT devices. At the same time, it has many advantages such as extremely simple structure, maintenance-free within the life cycle, and environmental friendliness. Passive IoT terminals are widely used in sensor data reporting scenarios such as smart grids and smart farms.

Due to cost and functional limitations, the storage capacity and computing power of passive IoT terminals are extremely limited. When the terminal collects a large amount of data, if the data is not reported to the base station in time, it is easy to cause memory overflow and key data loss.

Based on this, this solution proposes to receive data reported by passive IoT terminals by deploying dedicated relay nodes. The data collected by the terminal is first reported to the relay node, and the relay node with a certain computing power sorts and summarizes the received data, calculates and processes it, and then reports it to the base station. In addition, considering the strong correlation of the data detected by the sensor within a certain length of time and space, the relay node can summarize the data reported by the terminal and report the summarized results to the base station at one time. This data reporting method can effectively reduce the number of reporting times, save bandwidth resources, and greatly improve the reliability of data reporting.

Figure 1 is a schematic diagram of the architecture of an Internet of Things system provided by an embodiment of the present application. As shown in Figure 1, the Internet of Things system may include: an Internet of Things terminal, a relay node, and a base station, wherein the Internet of Things terminal may include multiple, Multiple IoT terminals are connected to the relay node for data transmission, and the relay node is also connected to the base station, and can report the processed data received from the IoT terminal to the base station. A node can be a third-party device independent of the base station, or a unit that does not belong to the base station.

The relay node can receive the collected data sent by the IoT terminal, and select an appropriate data processing method to process the collected data according to the size of the data collected and the scale of the connected IoT terminal, and report the processing result to the base station. It avoids the problem of limited storage and computing power of IoT terminals, and the inability to report the collected data to the base station in a timely manner, resulting in data loss.

The multiple IoT terminals connected to the relay node can be the same type of IoT terminal or different types of IoT terminals. The same type of IoT terminal is used to collect the same type of data. For example: the IoT terminal is When the temperature sensor is used, it is only used to collect temperature data. When the IoT terminal is a humidity sensor, it is only used to collect humidity data.

FIG. 2 is a first schematic flow diagram of a data processing method for an Internet of Things terminal provided by an embodiment of the present application; the execution subject of this method may be a relay node. As shown in Figure 1, the method may include:

S201. Determine the data reporting method according to the data collection scene parameters. The data collection scene parameters include at least one of the following: data collection volume, the number of IoT terminals bound to the relay node, and the power of the IoT terminal.

Data collection scene parameters can be used to represent the application scene information of the method. Usually, according to different application scenarios, different data reporting methods can be selected to report data to the base station, so as to adapt to the data transmission requirements in different application scenarios and ensure the accuracy of data reporting. integrity.

In this embodiment, the data collection scene parameters may include, but are not limited to: the amount of data collection, the number of IoT terminals bound to the relay node, and the power of the IoT terminals. Wherein, the number of IoT terminals bound to the relay node refers to the data of the IoT terminals establishing a communication connection with the relay node, in other words, the number of IoT terminals covered and supported by the relay node.

In this embodiment, the relay node may include but not limited to: 5G terminal (NR UE, New Radio, User Equipment user equipment); LTE terminal (LTE UE, Long Term Evolution, User Equipment user equipment); NB- IoT (Narrow Band Internet of Things, narrowband Internet of Things) terminal; dedicated relay base station; wireless CPE (Customer premises equipment, user premises equipment) node; edge computing platform; edge gateway; the same type of passive Internet of things terminal; with protocol Third-party power equipment with conversion function; third-party power amplifier and forwarding equipment compatible with transmission protocols.

S202. Receive the collected data sent by the IoT terminal, process the collected data according to the data reporting method, generate a data processing result, and report the data processing result to the base station.

Based on the determined data reporting method, the collected data sent by the received IoT terminal can be processed according to the data reporting method, and a data processing result is generated and reported to the base station.

Here, when the collection is processed according to the data reporting method, the collected data sent by an IoT terminal can be processed separately, and when the data processing results are finally reported to the base station, it can also be reported separately according to the IoT terminal. The collected data of the connected terminal is processed and reported separately, so that the data collected from different IoT terminals can be effectively distinguished, so as to facilitate subsequent data processing and analysis.

The collected data sent by different Internet of Things terminals can be differentiated and marked according to the identification of the Internet of Things terminals.

Optionally, the identification of the Internet of Things terminal includes but is not limited to the following information: ID (Identity document, identity card identification) information; product serial number; Name name information; IP (Internet Protocol, network protocol) address information; MAC (Media Access Control, media access control) address information; information about the manufacturer of the device to which it belongs.

Optionally, the ID information in the terminal identification information includes but not limited to the following information: device identification Identifier information; Temporary Mobile Subscriber Identity Information (TMSI); Globally Unique Temporary Mobile Subscriber Identity Information (GUTI); wireless network temporary identification information ( RNTI).

To sum up, the data processing method of the Internet of Things terminal provided by this embodiment, by deploying the relay node in the Internet of Things system, the data collected by the Internet of Things terminal can be sent to the relay node first, and the relay node can Scenario parameters, determine the matching data reporting method to process the collected data sent by the IoT terminal, and finally the relay node reports the data processing result to the base station. By introducing relay nodes, the problem of possible data loss caused by directly reporting data to the base station due to weak storage and computing power of IoT terminals can be alleviated. In addition, determining the adapted data reporting method according to the data collection scene parameters for data processing can make the data reporting method more suitable for the current scene, thereby ensuring the stability of data reporting.

FIG. 3 is a second schematic flow diagram of the data processing method of the Internet of Things terminal provided by the embodiment of the present application; in step S201, according to the data collection scene parameters, the data reporting method is determined, which may include:

S301. If the amount of data collected is less than the first threshold and the number of IoT terminals bound to the relay node satisfies the first number, determine that the data reporting method is complete data reporting.

The amount of data collected is less than the first threshold, which may indicate that the amount of data collected is small, and the number of IoT terminals bound to the relay node meets the first number, which may indicate that the scale of the IoT terminals bound to the relay node is small. When the terminal When the scale is small and the amount of data collected is small, it can be determined that the data reporting method is complete data reporting.

In this case, the collected data does not need to be processed, and can directly form a data sequence for reporting.

S302. If the amount of data collected is greater than the second threshold, determine that the data reporting method is incremental data reporting.

The fact that the amount of data collected is greater than the second threshold may indicate that the amount of data collected is large, and when the amount of data collected is large, it may be determined that the data reporting method is incremental data reporting.

Incremental data reporting is to calculate the difference between the collected adjacent data. When reporting data, report in the form of difference. In this way, when the collected adjacent data changes little, the difference will be 0. More, the amount of data occupied is small, so that the amount of data reported is significantly reduced.

S303. If the amount of data collected is greater than the second threshold and the power of the IoT terminal is lower than the preset power, determine that the data reporting method is statistical value incremental data reporting.

And when the amount of data collected is large and the power of the Internet of Things terminal is insufficient, the data reporting method can be determined as the statistical value incremental data reporting method.

The statistical value increment data reporting method is to count the difference of the statistical value of the collected data in adjacent collection periods. In this way, there is no need to report each collected data in the collection period, only the difference of the statistical value of the collected data can be reported. , which can greatly reduce the amount of data reporting.

FIG. 4 is a third schematic flow diagram of the data processing method of the Internet of Things terminal provided by the embodiment of the present application; optionally, in step S202, the collected data is processed according to the data reporting method, and the data processing result is generated, which may include:

S401. If the data reporting method is complete data reporting, generate a data sequence corresponding to the current collection period according to the received collection data at each moment in the current collection period.

It should be noted that, according to different types of IoT terminals, the types of collected data are also different. Generally, the types of data collected by IoT terminals may include but not limited to: temperature; humidity; wind speed; voltage; current; Pressure; vibration; light intensity; node energy margin.

In this embodiment, the Internet of Things terminal is used as a temperature sensor, and the collected data is taken as an example of temperature. In practical applications, any type of data collected by any type of Internet of Things terminal can be processed in the same way. .

When the data reporting method is complete data reporting, taking temperature data as an example, the relay node can report the complete temperature sequence from the IoT terminal and the mean value and variance of the temperature data to the base station. This method is simple and direct, and is suitable for simple scenarios with small IoT terminals and small data volumes.

S402. According to the collected data at each moment, respectively determine a data mean value and a data variance corresponding to the current collection cycle.

The average value and variance of the collected data can be calculated according to the collected data collected at each moment in the collection period, so as to obtain the data mean value and data variance corresponding to the current collection period.

S403. Obtain a data processing result of the current collection period according to the data sequence corresponding to the current collection period, and the data mean value and data variance corresponding to the current collection period.

Optionally, the data sequence corresponding to the current collection period, as well as the data mean and data variance may be reported to the base station as a data processing result. The data sequence is the sequence formed by the collected temperature data at each moment in chronological order.

In this complete data reporting method, the data processing results of one collection cycle may be reported once as a unit, or the data processing results of multiple collection cycles of an IoT terminal may be reported uniformly. But each acquisition cycle corresponds to a data processing result.

In a practicable manner, the relay node may receive the collected data of each collection cycle of the Internet of Things terminal based on a timer. Optionally, start a timer to receive the collected data collected by the Internet of Things terminal at each moment, and stop the collection after the timing expires, so as to obtain the collected data at each moment in the current collection cycle.

Exemplary: the timer is initialized, and the relay node starts to receive the temperature data reported by the IoT terminal. When the timer expires, the relay node calculates the temperature mean and variance based on the received temperature data at each moment in the current collection period. Then the relay node reports the complete temperature sequence of the current collection period and the mean value and variance of the temperature data to the base station. Complete data reporting includes but is not limited to the following data: temperature data series; mean and variance of temperature data.

The definitions of each reported data are as follows:

以表示其中第i个温度数据。将Node_k在当前计时器周期内累计收到的N个温度数据序列记为T_data_Tj，则

Temperature data sequence: the terminal identifier of the IoT terminal is Node_k. Within the timer duration, the relay node receives N temperature data from Node_k in total, and uses

To represent the i-th temperature data. Record the N temperature data sequences accumulated and received by Node_k in the current timer cycle as T_data_Tj, then

和

Temperature data mean and variance: Based on the temperature data sequence, the mean and variance of the temperature data of Node_k in the current timer period Tj can be calculated, respectively recorded as

and

In another practicable manner, the relay node may receive the collected data of each collection cycle of the Internet of Things terminal based on a counter. Optionally, start the counter, receive the collection data collected by the Internet of Things terminal at each moment, and stop the collection after the amount of the received collection data satisfies the counting times of the counter, so as to obtain the collection data in the current collection period.

Exemplarily, the counter is initialized, and the relay node starts to receive the temperature data reported by the IoT terminal. When the counter reaches the count target, the relay node calculates the temperature mean and variance based on the received temperature data of the current collection period. Then the relay node reports the complete temperature sequence of the current collection period and the mean value and variance of the temperature data to the base station. Complete data reporting includes but is not limited to the following data: temperature data series; mean and variance of temperature data.

以表示其中第i个温度数据。将Node_k累计收到的N个温度数据序列记为T_data_N，则

Temperature data sequence: mark the terminal ID of the IoT terminal as Node_k. Set the counter count target value to N. When the relay node receives N temperature data from Node_k, it terminates the counter and triggers the calculation. use

To represent the i-th temperature data. Record the N temperature data sequences accumulated by Node_k as T_data_N, then

和

Temperature data mean and variance: Based on the temperature data sequence, the mean and variance of the N temperature data accumulated by Node_k can be calculated, which are recorded as

and

FIG. 5 is a schematic flow diagram 4 of the data processing method of the Internet of Things terminal provided by the embodiment of the present application; optionally, in step S202, the collected data is processed according to the data reporting method, and the data processing result is generated, which may include:

S501. If the data reporting method is incremental data reporting, then according to the received collected data at each moment in the current collection period, respectively determine the difference between the collected data at adjacent moments, and obtain the incremental sequence of collected data corresponding to the current collection period.

When the data reporting method is incremental data reporting, it is also the same as complete data reporting. According to the received collected data at each time in the current collection cycle, the incremental sequence of collected data corresponding to the current collection cycle can be determined. Among them, one collection cycle corresponds to Get a sequence of data increments.

S502. Obtain a data processing result of the current collection period according to the collection data increment sequence corresponding to the current collection period and the collection data at the first moment in the current collection period.

Taking the collected data as temperature data as an example, the relay node may report the received initial temperature data in the current collection period (collected data at the first moment in the collection period) and temperature increment sequence to the base station. Wherein, one acquisition cycle corresponds to one data processing result.

Based on the temperature initial data and the temperature increment sequence, the base station can restore the temperature data at all times through calculation. When the temperature change is small, there are more zero values in the temperature increment sequence, which can be represented by encoding with fewer bits. Therefore, it has the advantages of low data volume and small occupied bandwidth, and is suitable for large-scale terminal data reporting scenarios.

In a practicable manner, the relay node may receive the collected data of each collection cycle of the Internet of Things terminal based on a timer.

Exemplarily, the timer is initialized, and the relay node starts to receive the temperature data reported by the IoT terminal. When the timer expires, the relay node performs calculation based on the received temperature data of the current collection period, and reports the calculation result to the base station. Incremental data reporting includes but is not limited to the following data initial node temperature data; temperature increment sequence.

The definitions of each reported data are as follows:

Initial node temperature data: refers to the first temperature data collected by the IoT terminal Node_k received after the timer is initialized.

则有

以此类推，可以计算得到所有N个温度增量数据，记计时器时长T_j内的温度数据差值增量序列为ΔT_data_Tj，则

Temperature increment sequence: Calculate the difference between all two adjacent temperature data in the temperature data sequence. Note that the difference between the nth temperature data of terminal Node_k and the n+1th temperature data is

then there is

By analogy, all N temperature increment data can be calculated, and the temperature data difference increment sequence within the timer duration T _j is ΔT_data_Tj, then

In another practicable manner, the relay node may receive the collected data of each collection cycle of the Internet of Things terminal based on a counter.

Exemplarily, the counter is initialized, and the relay node starts to receive the temperature data reported by the IoT terminal. When the counter reaches the counting target, the relay node performs calculation based on the received temperature data in the current collection period, and reports the calculation result to the base station. Incremental data reporting includes but is not limited to the following data: initial node temperature data; temperature increment sequence.

The definitions of each reported data are as follows:

Initial node temperature data: refers to the first temperature data of terminal Node_k received after the counter is initialized.

则有

以此类推，可以计算得到所有N个数据温度差值，记N个数据温度差值序列为ΔT_data_Tj，则

Temperature increment sequence: Calculate the difference between all two adjacent temperature data in the temperature data sequence. Record the difference between the nth temperature data and the n+1th temperature data as

then there is

By analogy, all N data temperature differences can be calculated, and the N data temperature difference sequence is recorded as ΔT_data_Tj, then

FIG. 6 is a schematic flow diagram five of the data processing method of the Internet of Things terminal provided by the embodiment of the present application; optionally, in step S202, the collected data is processed according to the data reporting method, and the data processing result is generated, which may include:

S601. If the data reporting method is statistical value incremental data reporting, then according to the received collected data at each time in at least two continuous collection periods, generate a mean value increment sequence and a variance increment sequence corresponding to the continuous collection periods, and the mean value increment The sequence includes the difference of the means of adjacent acquisition periods, and the sequence of variance increments includes the difference of the variance of adjacent acquisition periods.

In the way of statistical value incremental data reporting, the acquisition of collected data can be to obtain the collected data of multiple consecutive collection cycles, and combine the collected data of each collection cycle to obtain the difference between the mean value and variance of the collected data of adjacent collection cycles , that is, the difference between the data statistical values of adjacent collection periods constitutes a statistical value sequence and reports it to the base station.

S602. According to the data mean value and data variance corresponding to the first acquisition period, and the mean value increment sequence and the variance increment sequence, obtain the data processing results of the continuous acquisition periods.

Different from the above two data reporting methods, in the method of statistical value incremental data reporting, multiple consecutive acquisition cycles are correspondingly calculated to obtain a data processing result.

Taking temperature data as an example, the relay node reports the statistical value of the temperature data in the initial timing period and the increment of the temperature statistical value between adjacent timing periods to the base station. The base station can restore the statistical value of temperature data in all timing periods according to the statistical value of temperature data in the initial timing period and the increment of the statistical value. The method reports the statistical value of the temperature data in units of continuous multiple collection periods. The number and frequency of data reporting can be further reduced, greatly saving channel resources. It is suitable for scenarios where the power of IoT terminals is low, the data of IoT terminals has a small change range, and large-scale terminal data reporting scenarios.

In a practicable manner, the relay node may receive the collected data of each collection cycle of the Internet of Things terminal based on a timer.

Exemplarily, the timer is initialized, and the relay node starts to receive the temperature data reported by the IoT terminal. When the timer expires, the relay node performs calculation based on the received temperature data, and reports the calculation result to the base station. Statistical value incremental data reporting includes but is not limited to the following data: initial value of temperature statistical value; incremental sequence of temperature statistical value.

The definitions of each reported data are as follows:

和方差

Initial value of temperature statistical value: the average value of temperature data in the initial timing period

and variance

Incremental sequence of temperature statistical value: If the relay node receives the cumulative data in multiple consecutive timer periods, it can calculate the mean increment and variance increment of the temperature data in adjacent timing periods, and construct it as an incremental sequence . as follows:

和方差

记节点在下一个计时器周期T_j+1内收到的温度数据的均值

和方差

则温度均值增量为

温度方差增量为

Record the average value of the temperature data received by the node in the timer period T _j

and variance

Record the average value of the temperature data received by the node in the next timer period T _j+1

and variance

Then the temperature mean increment is

The temperature variance increment is

以及温度方差增量序列

By analogy, assuming that the relay node receives the accumulated data of M timer cycles from the terminal Node_k, the temperature mean increment sequence can be calculated

and the sequence of temperature variance increments

In another practicable manner, the relay node may receive the collected data of each collection cycle of the Internet of Things terminal based on a counter.

Exemplarily, the counter is initialized, and the relay node starts to receive the temperature data reported by the IoT terminal. When the counter reaches the counting target, the relay node calculates based on the received temperature data and reports it to the base station. Incremental reporting of statistical values includes, but is not limited to, the following data: initial value of statistical statistical values of temperature; incremental sequence of statistical statistical values of temperature.

The definitions of each reported data are as follows:

和方差

Initial value of temperature statistical value: after the end of the first counting cycle, the average value of the received N temperature data

and variance

Increment sequence of temperature statistical value: If the relay node receives the accumulated data of multiple consecutive counting periods, it can calculate and report the increment of the mean value and variance of the temperature data based on the counting results of adjacent counting periods. as follows:

和方差

当计数器的计数周期j+1达到计数目标N时，收到的新的N个温度数据的均值

和方差

则温度均值增量为

温度方差增量为

When the counting period j of the counter reaches the counting target N, record the average value of the received N temperature data

and variance

When the counting period j+1 of the counter reaches the counting target N, the average value of the new N temperature data received

and variance

Then the temperature mean increment is

The temperature variance increment is

以及温度方差增量序列

By analogy, assuming that the relay node receives the accumulated data of M counting cycles from the terminal Node_k, the temperature mean increment sequence can be calculated

and the sequence of temperature variance increments

Based on the three data reporting methods of the relay node designed in this scheme, the data processing and reporting can be effectively improved by selecting the adapted data reporting method according to the actual data collection scene parameters. At the same time, the relay node data processing mechanism based on timer and counter is considered, which can realize different data collection modes.

To sum up, the data processing method of the Internet of Things terminal provided by this embodiment, by deploying the relay node in the Internet of Things system, the data collected by the Internet of Things terminal can be sent to the relay node first, and the relay node can be based on Data collection scene parameters, determine the matching data reporting method, process the collected data sent by the IoT terminal, and finally report the data processing result to the base station by the relay node. By introducing relay nodes, the problem of possible data loss caused by directly reporting data to the base station due to weak storage and computing power of IoT terminals can be alleviated. In addition, determining the adapted data reporting method according to the data collection scene parameters for data processing can make the data reporting method more suitable for the current scene, thereby ensuring the stability of data reporting and effectively improving the efficiency of data processing and reporting.

The following describes the devices, devices, and storage media used to implement the data processing method for the Internet of Things terminal provided by this application. The specific implementation process and technical effects refer to the above, and will not be repeated below.

7 is a schematic diagram of a data processing device for an Internet of Things terminal provided by an embodiment of the present application. The data processing device for an Internet of Things terminal is applied to a relay node in an Internet of Things system. The Internet of Things system includes: a plurality of Internet of Things terminals, The relay node and the base station, the relay node communicates with each Internet of Things terminal and base station respectively; the functions realized by the data processing device of the Internet of Things terminal correspond to the steps performed by the above method. The device can be understood as the above-mentioned relay node, as shown in FIG. 7 , the device can include: a determination module 710, a processing module 720;

The determination module 710 is used to determine the data reporting method according to the data collection scene parameters. The data collection scene parameters include at least one of the following: data collection volume, the number of IoT terminals bound to the relay node, and the power of the IoT terminal;

The processing module 720 is configured to receive the collected data sent by the IoT terminal, process the collected data according to the data reporting method, generate a data processing result, and report the data processing result to the base station.

Optionally, the determining module 710 is specifically configured to determine that the data reporting method is complete data reporting if the amount of data collected is less than the first threshold and the number of IoT terminals bound to the relay node satisfies the first number;

If the amount of data collected is greater than the second threshold, it is determined that the data reporting method is incremental data reporting;

If the amount of data collected is greater than the second threshold and the power of the IoT terminal is lower than the preset power, it is determined that the data reporting method is statistical value incremental data reporting.

Optionally, the processing module 720 is specifically configured to generate a data sequence corresponding to the current collection period according to the received collection data at each moment in the current collection period if the data reporting method is complete data reporting;

According to the collected data at each moment, respectively determine the data mean value and data variance corresponding to the current collection cycle;

According to the data sequence corresponding to the current collection period, and the data mean value and data variance corresponding to the current collection period, the data processing result of the current collection period is obtained.

Optionally, the processing module 720 is specifically configured to, if the data reporting method is incremental data reporting, determine the difference between the collected data at adjacent moments according to the received collected data at each time in the current collection period, and obtain the current collected data Acquisition data increment sequence corresponding to the period;

The data processing result of the current collection period is obtained according to the collection data increment sequence corresponding to the current collection period and the collection data at the first moment in the current collection period.

Optionally, the processing module 720 is specifically configured to generate the mean increment sequence corresponding to the continuous collection period according to the received collection data at each moment in at least two continuous collection periods if the data reporting method is statistical value incremental data reporting And the variance increment sequence, the mean increment sequence includes the mean value difference of adjacent acquisition periods, and the variance increment sequence includes the variance difference of adjacent acquisition periods;

According to the data mean value and data variance corresponding to the first acquisition period, and the mean value increment sequence and the variance increment sequence, the data processing results of the continuous acquisition periods are obtained.

Optionally, the device further includes: a receiving module;

The receiving module is used to start the timer, receive the collection data collected by the Internet of Things terminal at each time, and stop the collection after the timing expires, so as to obtain the collection data at each time in the current collection cycle.

The receiving module is also used to start the counter, receive the collection data collected by the Internet of Things terminal at each moment, and stop the collection after the amount of the received collection data meets the counting times of the counter, so as to obtain the collection data in the current collection cycle.

The above-mentioned apparatus is used to execute the methods provided in the foregoing embodiments, and its implementation principles and technical effects are similar, and details are not repeated here.

The above modules may be one or more integrated circuits configured to implement the above method, for example: one or more specific integrated circuits (Application Specific Integrated Circuit, referred to as ASIC), or, one or more microprocessors (digital singnal processor, DSP for short), or, one or more Field Programmable Gate Arrays (Field Programmable Gate Array, FPGA for short), etc. For another example, when one of the above modules is implemented in the form of a processing element scheduling program code, the processing element may be a general-purpose processor, such as a central processing unit (Central Processing Unit, CPU for short) or other processors that can call program codes. For another example, these modules can be integrated together and implemented in the form of a system-on-a-chip (SOC for short).

The above-mentioned modules may be connected or communicate with each other via a wired connection or a wireless connection. Wired connections may include metal cables, fiber optic cables, hybrid cables, etc., or any combination thereof. Wireless connections may include connections via LAN, WAN, Bluetooth, ZigBee, or NFC, etc., or any combination thereof. Two or more modules can be combined into a single module, and any one module can be divided into two or more units. Those skilled in the art can clearly understand that for the convenience and brevity of the description, the specific working process of the system and device described above can refer to the corresponding process in the method embodiment, which will not be repeated in this application.

FIG. 8 is a schematic structural diagram of an electronic device provided in an embodiment of the present application, and the device may be a computing device with a data processing function.

The device may include: a processor 801 and a storage medium 802 .

The storage medium 802 is used to store a program, and the processor 801 invokes the program stored in the storage medium 802 to execute the foregoing method embodiments. The specific implementation manner and technical effect are similar, and will not be repeated here.

Wherein, the storage medium 802 stores program codes, and when the program codes are executed by the processor 801, the processor 801 executes the Internet of Things terminal according to various exemplary embodiments of the present application described in the "Exemplary Method" section above. Various steps in the data processing method.

The processor 801 can be a general-purpose processor, such as a central processing unit (CPU), a digital signal processor (Digital Signal Processor, DSP), an application specific integrated circuit (Application Specific Integrated Circuit, ASIC), a field programmable gate array (Field Programmable Gate Array) , FPGA) or other programmable logic devices, discrete gate or transistor logic devices, and discrete hardware components can implement or execute the methods, steps, and logic block diagrams disclosed in the embodiments of the present application. A general purpose processor may be a microprocessor or any conventional processor or the like. The steps of the methods disclosed in connection with the embodiments of the present application may be directly implemented by a hardware processor, or implemented by a combination of hardware and software modules in the processor.

The storage medium 802, as a non-volatile computer-readable storage medium, can be used to store non-volatile software programs, non-volatile computer-executable programs and modules. The storage medium can include at least one type of storage medium, such as flash memory, hard disk, multimedia card, card-type storage medium, random access storage medium (Random Access Memory, RAM), static random access storage medium (Static Random Access Memory, SRAM) ), Programmable Read Only Memory (PROM), Read Only Memory (ROM), Electrically Erasable Programmable Read-Only Memory (EEPROM) , magnetic storage media, magnetic disks, optical disks, etc. A storage medium is, but is not limited to, any other medium that can be used to carry or store desired program code in the form of instructions or a data structure and that can be accessed by a computer. The storage medium 802 in the embodiment of the present application may also be a circuit or any other device capable of implementing a storage function, for storing program instructions and/or data.

Optionally, the present application further provides a program product, such as a computer-readable storage medium, including a program, and the program is used to execute the foregoing method embodiments when executed by a processor.

In the several embodiments provided in this application, it should be understood that the disclosed devices and methods may be implemented in other ways. For example, the device embodiments described above are only illustrative. For example, the division of the units is only a logical function division. In actual implementation, there may be other division methods. For example, multiple units or components can be combined or May be integrated into another system, or some features may be ignored, or not implemented. In another point, the mutual coupling or direct coupling or communication connection shown or discussed may be through some interfaces, and the indirect coupling or communication connection of devices or units may be in electrical, mechanical or other forms.

The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place, or may be distributed to multiple network units. Part or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

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

The above-mentioned integrated units implemented in the form of software functional units may be stored in a computer-readable storage medium. The above-mentioned software functional units are stored in a storage medium, and include several instructions to enable a computer device (which may be a personal computer, server, or network device, etc.) or a processor (English: processor) to execute the functions described in various embodiments of the present application. part of the method. The aforementioned storage medium includes: U disk, mobile hard disk, read-only storage medium (English: Read-Only Memory, abbreviated: ROM), random access storage medium (English: Random Access Memory, abbreviated: RAM), magnetic disk or CDs and other media that can store program codes.

Claims (10)

1. The data processing method of the terminal of the Internet of things is characterized by being applied to a relay node in a system of the Internet of things, and the system of the Internet of things comprises: the system comprises a plurality of internet of things terminals, the relay nodes and base stations, wherein the relay nodes are respectively communicated with the internet of things terminals and the base stations; the method comprises the following steps:

Determining a data reporting mode according to data acquisition scene parameters, wherein the data acquisition scene parameters comprise at least one of the following: the method comprises the steps of data acquisition amount, the number of the terminals of the Internet of things bound by the relay node and the electric quantity of the terminals of the Internet of things;

and receiving the acquired data sent by the terminal of the Internet of things, processing the acquired data according to the data reporting mode, generating a data processing result, and reporting the data processing result to a base station.

2. The method of claim 1, wherein determining a data reporting mode based on the data acquisition scene parameters comprises:

if the data acquisition amount is smaller than a first threshold value and the number of the terminals of the Internet of things bound by the relay node meets the first number, determining that the data reporting mode is complete data reporting;

if the data acquisition amount is greater than a second threshold value, determining that the data reporting mode is incremental data reporting;

and if the data acquisition quantity is larger than a second threshold value and the electric quantity of the terminal of the Internet of things is lower than the preset electric quantity, determining that the data reporting mode is statistical value incremental data reporting.

3. The method of claim 2, wherein the processing the collected data according to the data reporting manner to generate a data processing result includes:

If the data reporting mode is complete data reporting, generating a data sequence corresponding to the current acquisition period according to the received acquisition data at each moment in the current acquisition period;

respectively determining a data mean value and a data variance corresponding to the current acquisition period according to the acquired data at each moment;

and obtaining a data processing result of the current acquisition period according to the data sequence corresponding to the current acquisition period and the data mean value and the data variance corresponding to the current acquisition period.

4. The method of claim 2, wherein the processing the collected data according to the data reporting manner to generate a data processing result includes:

if the data reporting mode is incremental data reporting, respectively determining the difference value of the acquired data at adjacent moments according to the received acquired data at each moment in the current acquisition period to obtain an acquired data incremental sequence corresponding to the current acquisition period;

and obtaining a data processing result of the current acquisition period according to the acquisition data increment sequence corresponding to the current acquisition period and the acquisition data of the first moment in the current acquisition period.

5. The method of claim 2, wherein the processing the collected data according to the data reporting manner to generate a data processing result includes:

If the data reporting mode is statistical value increment data reporting, generating a mean value increment sequence and a variance increment sequence corresponding to the continuous acquisition period according to the received acquisition data at each moment in at least two continuous acquisition periods, wherein the mean value increment sequence comprises the difference between the mean values of the adjacent acquisition periods, and the variance increment sequence comprises the difference between the variances of the adjacent acquisition periods;

and obtaining a data processing result of the continuous acquisition period according to the data mean value and the data variance corresponding to the first acquisition period and the mean value increment sequence and the variance increment sequence.

6. The method according to any one of claims 3-5, further comprising:

and starting a timer, receiving the acquired data of each moment acquired by the terminal of the Internet of things, and stopping acquisition after timing is overtime to obtain the acquired data of each moment in the current acquisition period.

7. The method according to any one of claims 3-5, further comprising:

and starting a counter, receiving the acquired data of each moment acquired by the terminal of the Internet of things, and stopping acquisition after the number of the received acquired data meets the counting times of the counter to obtain the acquired data in the current acquisition period.

8. The utility model provides a data processing apparatus of thing networking terminal which characterized in that is applied to the relay node in thing networking system, thing networking system includes: the system comprises a plurality of internet of things terminals, the relay nodes and base stations, wherein the relay nodes are respectively communicated with the internet of things terminals and the base stations; the device comprises: a determining module and a processing module;

the determining module is configured to determine a data reporting mode according to a data acquisition scene parameter, where the data acquisition scene parameter includes at least one of the following: the method comprises the steps of data acquisition amount, the number of the terminals of the Internet of things bound by the relay node and the electric quantity of the terminals of the Internet of things;

the processing module is used for receiving the acquired data sent by the terminal of the Internet of things, processing the acquired data according to the data reporting mode, generating a data processing result and reporting the data processing result to the base station.

9. An electronic device, comprising: the system comprises a processor, a storage medium and a bus, wherein the storage medium stores program instructions executable by the processor, when the electronic device runs, the processor and the storage medium are communicated through the bus, and the processor executes the program instructions to execute the steps of the data processing method of the internet of things terminal according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that the storage medium has stored thereon a computer program which, when executed by a processor, performs the steps of the data processing method of an internet of things terminal according to any one of claims 1 to 7.

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