CN116017344A - Data processing method and device of internet of things terminal, electronic equipment and storage medium - Google Patents
Data processing method and device of internet of things terminal, electronic equipment and storage medium Download PDFInfo
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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
Technical Field
The application relates to the technical field of the internet of things, in particular to a data processing method and device of an internet of things terminal, electronic equipment and a storage medium.
Background
The passive internet of things is an internet of things device powered by external energy collection or limited energy storage capacity and the like, and has the advantages of simple structure, no maintenance in the life cycle, environmental friendliness and the like, and can be widely applied to sensor data collection scenes of smart grids, smart farms and the like.
In general, the passive internet of things terminal processes the collected data and then directly reports the processed data to the base station for analysis, however, because the storage capacity and calculation power of the passive internet of things terminal are very limited, when the data collection amount of the terminal is large, the data cannot be processed in time and reported to the base station, so that the memory of the terminal overflows easily, the key data is lost, and the reliability of data reporting is poor.
Disclosure of Invention
The application aims at overcoming the defects in the prior art, and provides a data processing method, device, electronic equipment and storage medium of an internet of things terminal, so that the stability and the reporting efficiency of data reporting of the internet of things terminal are improved.
In order to achieve the above purpose, the technical solution adopted in the embodiment of the present application is as follows:
in a first aspect, an 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, where the internet of things 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 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.
Optionally, determining the data reporting mode according to the data acquisition scene parameter includes:
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.
Optionally, the processing the collected data according to the data reporting mode 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.
Optionally, the processing the collected data according to the data reporting mode 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.
Optionally, the processing the collected data according to the data reporting mode 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.
Optionally, the method further comprises:
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.
Optionally, the method further comprises:
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.
In a second aspect, an embodiment of the present application further provides a data processing device of an internet of things terminal, which is applied to a relay node in an internet of things system, where the internet of things 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.
Optionally, the determining module is specifically configured to determine that the data reporting mode is complete data reporting if the data collection amount is smaller than a first threshold and the number of the internet of things terminals bound by the relay node meets a first number;
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.
Optionally, the processing module is specifically configured to generate a data sequence corresponding to the current acquisition period according to the received acquired data at each moment in the current acquisition period if the data reporting mode is complete data reporting;
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.
Optionally, the processing module is specifically configured to determine, according to the received collected data at each time in the current collection period, a difference value of the collected data at adjacent times, to obtain a collected data increment sequence corresponding to the current collection period, if the data reporting mode is incremental data reporting;
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.
Optionally, the processing module is specifically configured to generate, according to the received acquisition data at each time in at least two consecutive acquisition periods, a mean increment sequence and a variance increment sequence corresponding to the consecutive acquisition periods, where the mean increment sequence includes a difference between means of adjacent acquisition periods, and the variance increment sequence includes a difference between variances of the adjacent acquisition periods, if the data reporting mode is statistical value increment data reporting;
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.
Optionally, the apparatus further comprises: a receiving module;
the receiving module is used for 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.
The receiving module is further used for 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.
In a third aspect, an embodiment of the present application provides an electronic device, including: the system comprises a processor, a storage medium and a bus, wherein the storage medium stores machine-readable instructions executable by the processor, when the electronic device is running, the processor and the storage medium are communicated through the bus, and the processor executes the machine-readable instructions to execute the steps of the data processing method of the internet of things terminal as provided in the first aspect.
In a fourth aspect, embodiments of the present application provide a computer-readable storage medium, on which a computer program is stored, which when executed by a processor performs the steps of the data processing method of an internet of things terminal as provided in the first aspect.
The beneficial effects of this application are:
the application provides a data processing method, a device, electronic equipment and a storage medium of an internet of things terminal, wherein by arranging a relay node in an internet of things system, data acquired by the internet of things terminal can be firstly sent to the relay node, the relay node can determine a matched data reporting mode to process the acquired data sent by the internet of things terminal according to data acquisition scene parameters, and finally the relay node reports a data processing result to a 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.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the embodiments will be briefly described below, it being understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered limiting the scope, and that other related drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic architecture diagram of an internet of things system according to an embodiment of the present application;
fig. 2 is a flowchart of a data processing method of an internet of things terminal according to an embodiment of the present application;
fig. 3 is a second flow chart of a data processing method of an internet of things terminal according to an embodiment of the present application;
fig. 4 is a flowchart of a data processing method of an internet of things terminal according to an embodiment of the present application;
fig. 5 is a flow chart diagram of a data processing method of an internet of things terminal according to an embodiment of the present application;
fig. 6 is a flowchart of a data processing method of an internet of things terminal according to an embodiment of the present application;
fig. 7 is a schematic diagram of a data processing device of an internet of things terminal according to an embodiment of the present application;
Fig. 8 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present application more clear, the technical solutions of the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application, and it should be understood that the accompanying drawings in the present application are only for the purpose of illustration and description, and are not intended to limit the protection scope of the present application. In addition, it should be understood that the schematic drawings are not drawn to scale. A flowchart, as used in this application, illustrates operations implemented according to some embodiments of the present application. It should be understood that the operations of the flow diagrams may be implemented out of order and that steps without logical context may be performed in reverse order or concurrently. Moreover, one or more other operations may be added to the flow diagrams and one or more operations may be removed from the flow diagrams as directed by those skilled in the art.
In addition, the described embodiments are only some, but not all, of the embodiments of the present application. The components of the embodiments of the present application, which are generally described and illustrated in the figures herein, may be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the present application, as provided in the accompanying drawings, is not intended to limit the scope of the application, as claimed, but is merely representative of selected embodiments of the application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present application without making any inventive effort, are intended to be within the scope 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 presence of the features stated hereinafter, but not to exclude the addition of other features.
Narrowband internet of things (NB-IoT) is a narrowband internet of things technology based on cellular networks. Supporting cellular data connections for low power devices over a wide area network is also known as a low power wide area network (LPWA). The NB-IoT uses the licensed band and has the characteristics of wide coverage, multiple connections, low rate, low power consumption and the like. The standardization efforts of NB-IoT technology have been done by the 3GPP (3 rd Generation Partnership Project, third generation partnership project). Such low power wide area network solutions have addressed some of the user needs at lower cost, lower power consumption and wide connectivity. The technical scheme is applied to various vertical industries at present, such as remote meter reading, asset tracking, intelligent parking and other scenes.
With the increase of the nodes of the internet of things, the arrangement and maintenance cost of the internal battery of the internet of things equipment is very high in the future. In addition, there are still a few scenes and needs in reality, which cannot be solved by the current NB-IoT technical solution, for example:
1. Extreme environmental condition application scenarios, such as high pressure, extremely high/low temperature, humid corrosive environments, etc.;
2. very low complexity/very small size (e.g., millimeter thickness) requirements for equipment, long life maintenance-free requirements;
3. a scenario where traditional battery powered approaches are not available.
With the continuous advancement of energy harvesting technology, the passive internet of things (IoT) has evolved, i.e., battery-less internet of things. The passive internet of things is an internet of things device powered by external energy collection or limited energy storage capacity (such as a capacitor) and the like, and obtains energy by wireless radio frequency signals, solar energy, illumination energy, movement energy, temperature difference and the like, and the energy can be collected by using a special energy collection device to power the internet of things device. Meanwhile, the device has the advantages of extremely simple structure, no maintenance in the life cycle, environmental friendliness and the like. The passive internet of things terminal is widely applied to sensor data reporting scenes such as smart grids, smart farms and the like.
Because of cost and function limitations, the storage capacity and computing power of the passive internet of things terminal are extremely limited. When the data volume collected by the terminal is large, if the data cannot be reported to the base station in time, memory overflow is easy to cause, and key data are lost.
Based on the scheme, the data reported by the passive internet of things terminal is received through the special relay node. The data collected by the terminal is firstly reported to the relay node, and the relay node with certain calculation power performs classified summarization and calculation processing on the received data and then uniformly reports the collected data to the base station. In addition, in consideration of the fact that the data detected by the sensor in a certain time length and a certain space area have strong relevance, the relay node can collect the data reported by the terminal and report the collected result to the base station at one time. The data reporting mode can effectively reduce reporting times, save bandwidth resources and greatly improve the reliability of data reporting.
Fig. 1 is a schematic architecture diagram of an internet of things system according to an embodiment of the present application, where, as shown in fig. 1, the internet of things system may include: the system comprises an Internet of things terminal, a relay node and a base station, wherein the Internet of things terminal can comprise a plurality of terminals, the plurality of Internet of things terminals are all in communication connection with the relay node and can perform data transmission with the relay node, the relay node is also in communication connection with the base station and can report a result after data processing received from the Internet of things terminal to the base station, and the relay node can be independent of third party equipment outside the base station or not belong to a unit in the base station.
The relay node can receive the acquired data sent by the internet of things terminal, selects a proper data processing mode to process the acquired data according to the size of the data acquisition amount and the scale of the connected internet of things terminal, and reports the processing result to the base station, so that the problems that the storage and calculation of the internet of things terminal are limited, the acquired data cannot be timely reported to the base station, and data loss is caused are avoided.
The plurality of internet of things terminals connected with the relay node can be the same type of internet of things terminals, and also can be different types of internet of things terminals, and the same type of internet of things terminals are used for collecting the same type of data, for example: when the terminal of the internet of things is a temperature sensor, the terminal of the internet of things is only used for collecting temperature data, and when the terminal of the internet of things is a humidity sensor, the terminal of the internet of things is only used for collecting humidity data.
Fig. 2 is a flowchart of a data processing method of an internet of things terminal according to an embodiment of the present application; the execution subject of the method may be a relay node. As shown in fig. 1, the method may include:
s201, 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 quantity, 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 data acquisition scene parameters can be used for characterizing application scene information of the method, and generally, according to different application scenes, different data reporting modes can be selected to report data to the base station so as to adapt to data transmission requirements in different application scenes and ensure the integrity of data reporting.
In this embodiment, the data acquisition scene parameters may include, but are not limited to: the method comprises the steps of data acquisition quantity, 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 number of the internet of things terminals bound by the relay node refers to data of the internet of things terminals establishing communication connection with the relay node, in other words, the number of the internet of things terminals covered and supported by the relay node.
In this embodiment, the relay node may include, but is not limited to: a 5G terminal (NR UE, new Radio, user Equipment); LTE terminals (LTE UE, long Term Evolution long term evolution, user Equipment); NB-IoT (Narrow Band Internet of Things ) terminals; a dedicated relay base station; a wireless CPE (Customer premises equipment ) node; an edge computing platform; an edge gateway; the same type of passive internet of things terminal; third party equipment with protocol conversion function; and the third party power amplifier and forwarding equipment compatible with the transmission protocol.
S202, collecting data sent by the terminal of the Internet of things is received, the collecting data is processed according to a data reporting mode, a data processing result is generated, and the data processing result is reported to the base station.
Based on the determined data reporting mode, the received collected data sent by the terminal of the Internet of things can be processed according to the data reporting mode, and a data processing result is generated and reported to the base station.
When the data is collected and processed in the data reporting mode, the collected data sent by one internet of things terminal can be processed independently, and finally, the data processing result can be reported to the base station in a distinguishing mode or can be reported according to the internet of things terminal, and the collected data of each internet of things terminal is processed independently and reported independently, so that the collected data from different internet of things terminals can be distinguished effectively, and the subsequent data processing analysis is facilitated.
The collected data sent by different internet of things terminals can be distinguished and marked according to the identification of the internet of things terminal.
Optionally, the identification of the terminal of the internet of things includes, but is not limited to, the following information: ID (Identity document, identification card) information; a product serial number; name information; IP (Internet Protocol, network protocol) address information; MAC (Media Access Control, medium access control) address information; and information of the manufacturer of the equipment.
Optionally, the ID information in the terminal identification information includes, but is not limited to, the following information: equipment identification Identifier information; temporary mobile subscriber identity information (TMSI); globally unique temporary mobile subscriber identity information (GUTI); radio network temporary identity information (RNTI).
In summary, according to the data processing method for the internet of things terminal provided by the embodiment, by arranging the relay node in the internet of things system, data collected 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 the data collection scene parameter to process the collected data sent by the internet of things terminal, and finally, the relay node reports the 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 to determine the adaptive data reporting mode, so that the data reporting mode is more adaptive to the current scene, and the stability of data reporting is ensured.
Fig. 3 is a second flow chart of a data processing method of an internet of things terminal according to an embodiment of the present application; in step S201, determining a data reporting manner according to the data acquisition scene parameter may include:
And S301, if the data acquisition quantity is smaller than a first threshold value and the quantity of the terminals of the Internet of things bound by the relay node meets the first quantity, determining that the data reporting mode is complete data reporting.
The data collection amount is smaller than the first threshold value, so that the data collection amount can be represented as smaller, the number of the internet of things terminals bound by the relay node meets the first number, the scale of the internet of things terminals bound by the relay node can be represented as smaller, and when the scale of the terminals is smaller and the data collection amount is smaller, the data reporting mode can be determined to be complete data reporting.
In this case, the collected data can be directly formed into a data sequence for reporting without processing.
And S302, if the data acquisition amount is larger than a second threshold value, determining that the data reporting mode is incremental data reporting.
The data collection amount is larger than the second threshold value, so that the data collection amount can be represented as larger, and when the data collection amount is larger, the data reporting mode can be determined to be incremental data reporting.
The data increment reporting, namely, the difference value is obtained for the collected adjacent data, and the data is reported in a difference mode when the data is reported, in this mode, when the change of the collected adjacent data is not large, the 0 value in the difference value is more, the occupied data volume is smaller, and the data volume of the reported data is obviously reduced.
And S303, if the data acquisition amount 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.
And when the data acquisition amount is large and the electric quantity of the terminal of the Internet of things is insufficient, the data reporting mode can be determined to be a statistic value increment data reporting mode.
The statistical value increment data reporting mode is to count the difference value of the statistical values of the collected data in the adjacent collecting periods, so that each collected data in the collecting periods is not required to be reported, only the statistical value difference value of the collected data is reported, and the data reporting quantity can be reduced to a great extent.
Fig. 4 is a flowchart of a data processing method of an internet of things terminal according to an embodiment of the present application; optionally, in step S202, the processing of the collected data according to the data reporting manner, to generate a data processing result may include:
s401, 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.
It should be noted that, according to the different types of the terminals of the internet of things, the types of the collected data may also be different, and generally, the types of the data collected by the terminals of the internet of things may include, but are not limited to: a temperature; humidity; wind speed; a voltage; a current; pressure; vibrating; the illumination intensity; node energy margin.
In this embodiment, the internet of things terminal is used as a temperature sensor, the collected data is exemplified by temperature, and in practical application, any type of data collected by any type of internet of things terminal can be processed in the same manner.
When the data reporting mode is complete data reporting, taking temperature data as an example, the relay node can report the complete temperature sequence from the terminal of the internet of things and the mean value and the variance of the temperature data to the base station. The method has the characteristics of simplicity and directness, and is suitable for simple scenes with smaller scale and smaller data volume of the terminal of the Internet of things.
S402, respectively determining a data mean value and a data variance corresponding to the current acquisition period according to the acquired data at each moment.
The mean value and the variance of the acquired data can be calculated according to the acquired data at each moment acquired in the acquisition period, so that the data mean value and the data variance corresponding to the current acquisition period are obtained.
S403, 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.
Optionally, the data sequence corresponding to the current acquisition period, the data mean value and the data variance can be reported to the base station as the data processing result. Wherein the data sequence is a sequence formed by time sequence of collected temperature data at each moment.
In the complete data reporting mode, the data processing result of one acquisition period can be reported once as a unit, or the data processing results of a plurality of acquisition periods of one internet of things terminal can be reported in a unified manner. But each acquisition cycle corresponds to a data processing result.
In one implementation, the relay node may receive the collected data of each collection period of the internet of things terminal in a timer-based manner. Optionally, a timer is started, the acquired data of each moment acquired by the terminal of the internet of things is received, and the acquisition is stopped after the time is overtime, so that the acquired data of each moment in the current acquisition period is obtained.
Exemplary: initializing a timer, and starting to receive temperature data reported by the terminal of the Internet of things by the relay node. When the timer times out, the relay node calculates a temperature mean value and a variance based on the received temperature data at each moment in the current acquisition period. And then the relay node reports the whole temperature sequence of the current acquisition 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: a temperature data sequence; mean and variance of temperature data.
The reported data are defined as follows:
temperature data sequence: and the terminal identification of the terminal of the Internet of things is node_k. The relay Node receives N temperature data from node_k in the time length of the timer
To represent the ith temperature data therein. N temperature data sequences which are cumulatively received by node_k in the current timer period are recorded as T_data_Tj, then +.>
Mean and variance of temperature data: based on the temperature data sequence, the mean value and the variance of the temperature data of node_k in the current timer period Tj can be calculated and respectively recorded as
And->
In another implementation manner, the relay node may receive the acquired data of each acquisition period of the terminal of the internet of things based on a counter. Optionally, a counter is started, the acquired data of each moment acquired by the terminal of the internet of things is received, and the acquisition is stopped after the number of the received acquired data meets the counting times of the counter, so that the acquired data in the current acquisition period is obtained.
Illustratively, a counter is initialized, and a relay node starts to receive temperature data reported by an internet of things terminal. When the counter reaches a counting target, the relay node calculates a temperature mean value and a variance based on the received temperature data of the current acquisition period. And then the relay node reports the whole temperature sequence of the current acquisition 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: a temperature data sequence; mean and variance of temperature data.
Temperature data sequence: and the terminal identification of the terminal of the Internet of things is node_k. The counter count target value is set to N. When the relay Node receives the N temperature data from node_k, it terminates the counter and triggers the calculation. By using
To represent the ith temperature data therein. Recording N temperature data sequences accumulated and received by node_k as T_data_N
Mean and variance of temperature data: based on the temperature data sequence, the mean and variance of N pieces of temperature data which are cumulatively received by node_k can be calculated and respectively recorded as
And->
Fig. 5 is a flow chart diagram of a data processing method of an internet of things terminal according to an embodiment of the present application; optionally, in step S202, the processing of the collected data according to the data reporting manner, to generate a data processing result may include:
and S501, 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.
When the data reporting mode is incremental data reporting, the data reporting method is the same as complete data reporting, and the acquired data incremental sequence corresponding to the current acquisition period can be determined according to the received acquired data at all times in the current acquisition period, wherein one acquisition period corresponds to one acquired data incremental sequence.
S502, obtaining a data processing result of the current acquisition period according to the acquisition data increment sequence corresponding to the current acquisition period and acquisition data of the first moment in the current acquisition period.
Taking the collected data as temperature data as an example, the relay node can report the received initial temperature data (collected data at the first moment in the collection period) and the temperature increment sequence in the current collection period to the base station. Wherein, a data processing result is correspondingly obtained in a collection period.
Based on the initial data of temperature and the temperature increment sequence, the base station can recover the temperature data at all moments through calculation. When the temperature change is not large, zero values in the temperature increment sequence are more, and the temperature increment sequence can be represented by a smaller bit number code. Therefore, the method has the advantages of low data volume and small occupied bandwidth, and is suitable for large-scale terminal data reporting scenes.
In one implementation, the relay node may receive the collected data of each collection period of the internet of things terminal in a timer-based manner.
Illustratively, a timer is initialized, and the relay node starts to receive temperature data reported by the terminal of the internet of things. When the timer is overtime, the relay node calculates based on the received temperature data of the current acquisition 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; a sequence of temperature increments.
The reported data are defined as follows:
initial node temperature data: and the first temperature data collected by the terminal node_k of the internet of things after the timer is initialized is indicated.
Temperature increment sequence: the differences between all adjacent two temperature data in the temperature data sequence are calculated. Note that the difference between the nth temperature data and the (n+1) th temperature data of the terminal node_k is
There is->
By such pushing, all N temperature increment data can be calculated and obtained, and the time length T of the timer is recorded j The delta sequence of temperature data difference values in delta is delta T data Tj, then->
In another implementation manner, the relay node may receive the acquired data of each acquisition period of the terminal of the internet of things based on a counter.
Illustratively, a counter is initialized, and a relay node starts to receive temperature data reported by an internet of things terminal. When the counter reaches the counting target, the relay node calculates based on the received temperature data in the current acquisition period, and reports the calculation result to the base station. Incremental data reporting includes, but is not limited to, the following: initial node temperature data; a sequence of temperature increments.
The reported data are defined as follows:
initial node temperature data: the first temperature data of the terminal node_k received after the initialization of the finger counter.
Temperature increment sequence: the differences between all adjacent two temperature data in the temperature data sequence are calculated. The difference between the nth temperature data and the (n+1) th temperature data is recorded as
There is->
By the method, all N data temperature differences can be calculated, and the N data temperature difference sequences are recorded as delta T_data_Tj
Fig. 6 is a flowchart of a data processing method of an internet of things terminal according to an embodiment of the present application; optionally, in step S202, the processing of the collected data according to the data reporting manner, to generate a data processing result may include:
s601, 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.
In the mode of reporting the statistic value increment data, acquiring the acquired data can be acquiring the acquired data of a plurality of continuous acquisition periods, and combining the acquired data of each acquisition period to obtain the difference between the average value and the variance of the acquired data of the adjacent acquisition periods, namely reporting the difference between the statistic values of the data of the adjacent acquisition periods to the base station.
S602, 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 increment sequence and the variance increment sequence.
Different from the two data reporting modes, in the mode of reporting the statistical value increment data, a data processing result is obtained by corresponding calculation of a plurality of continuous acquisition periods.
Taking temperature data as an example, the relay node reports the temperature data statistic value in the initial timing period and the temperature statistic value increment between adjacent timing periods to the base station. The base station can recover the temperature data statistic value of all the timing periods according to the temperature data statistic value and the statistic value increment of the initial timing period. The method reports temperature data statistic values by taking a plurality of continuous acquisition periods as units. The number and frequency of data reporting can be further reduced, and channel resources are greatly saved. The method is suitable for the scene of low electric quantity of the terminal of the Internet of things, small change amplitude of the terminal data of the Internet of things and large-scale terminal data reporting.
In one implementation, the relay node may receive the collected data of each collection period of the internet of things terminal in a timer-based manner.
Illustratively, a timer is initialized, and the relay node starts to receive temperature data reported by the terminal of the internet of things. When the timer times out, the relay node calculates based on the received temperature data and reports the calculation result to the base station. Statistical incremental data reporting includes, but is not limited to, the following: an initial value of a temperature statistic; a sequence of temperature statistics delta.
The reported data are defined as follows:
initial value of temperature statistics: mean value of temperature data in initial timing period
Sum of variances->
Temperature statistics delta sequence: if the relay node receives the accumulated data in a plurality of continuous timer periods, the relay node can calculate the mean value increment and the variance increment of the temperature data in the adjacent timer periods and construct an increment sequence. The following are provided:
recording node in timer period T j Mean value of internal received temperature data
Sum of variances->
The node counts the next timer period T j+1 Mean value of the temperature data received in ∈>
Sum of variances->
The temperature average increment is
The temperature variance increment is->
Similarly, assuming that the relay Node receives data from the terminal node_k for accumulating M timer periods, a temperature average increment sequence can be calculated
Temperature variance increment sequence->
In another implementation manner, the relay node may receive the acquired data of each acquisition period of the terminal of the internet of things based on a counter.
Illustratively, a counter is initialized, and a relay node starts to receive temperature data reported by an internet of things terminal. When the counter reaches the counting target, the relay node calculates based on the received temperature data and reports the calculated temperature data to the base station. Statistical delta reporting includes, but is not limited to, the following: an initial value of a temperature statistic; a sequence of temperature statistics delta.
The reported data are defined as follows:
initial value of temperature statistics: after the first counting period is finished, the N temperature data are receivedValue of
Sum of variances->
Temperature statistics delta sequence: if the relay node receives the accumulated data of a plurality of continuous counting periods, the increment of the mean value and the variance of the temperature data based on the counting results of the adjacent counting periods can be calculated and reported. The following are provided:
when the counting period j of the counter reaches the counting target N, the average value of the N received temperature data is recorded
Sum of variances->
When the counting period j+1 of the counter reaches the counting target N, the new mean value of N temperature data is received +.>
Sum of variances->
The temperature mean increment is->
The temperature variance increment is->
Similarly, assuming that the relay Node receives data of accumulated M counting periods from the terminal node_k, a temperature average increment sequence can be calculated
Temperature variance increment sequence->
Based on the three data reporting modes of the relay node designed by the scheme, the adaptive data reporting mode is selected to carry out data processing reporting according to the actual data acquisition scene parameters, so that the data processing and reporting efficiency can be effectively improved. Meanwhile, a relay node data processing mechanism based on a timer and a counter is considered, so that different data acquisition modes can be realized.
In summary, according to the data processing method for the internet of things terminal provided by the embodiment, by arranging 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, the relay node can determine a matched data reporting mode according to the data collection scene parameter to process the collected data sent by the internet of things terminal, and finally the relay node reports the 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.
The following describes a device, equipment, a storage medium, etc. for executing the data processing method of the internet of things terminal provided by the present application, and specific implementation processes and technical effects of the device and the equipment are referred to above, and are not described in detail below.
Fig. 7 is a schematic diagram of a data processing device of an internet of things terminal, where the data processing device of the internet of things terminal is applied to a relay node in an internet of things system, and the internet of things system includes: the system comprises a plurality of internet of things terminals, relay nodes and base stations, wherein the relay nodes are respectively communicated with the internet of things terminals and the base stations; the functions realized by the data processing device of the terminal of the Internet of things correspond to the steps executed by the method. The apparatus may be understood as the above-mentioned relay node, and as shown in fig. 7, the apparatus may include: a determining module 710, a processing module 720;
The determining module 710 is configured to determine a data reporting mode according to data acquisition scene parameters, where the data acquisition scene parameters include 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 720 is configured to receive the collected data sent by the terminal of the internet of things, process the collected data according to a data reporting mode, 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 mode is complete data reporting if the data collection amount is smaller than a first threshold and the number of the internet of things terminals bound by the relay node meets the first number;
if the data acquisition amount is greater than the second threshold value, determining that the data reporting mode is incremental data reporting;
if the data acquisition amount is larger than the 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.
Optionally, the processing module 720 is specifically configured to generate a data sequence corresponding to the current acquisition period according to the received acquired data at each moment in the current acquisition period if the data reporting mode is complete data reporting;
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.
Optionally, the processing module 720 is specifically configured to determine, according to the received collected data at each time in the current collection period, a difference value of the collected data at adjacent times, to obtain a collected data increment sequence corresponding to the current collection period, if the data reporting mode is incremental data reporting;
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.
Optionally, the processing module 720 is specifically configured to generate, according to the received acquisition data at each time in at least two consecutive acquisition periods, a mean increment sequence and a variance increment sequence corresponding to the consecutive acquisition periods, where the mean increment sequence includes a difference between means of adjacent acquisition periods, and the variance increment sequence includes a difference between variances of the adjacent acquisition periods, if the data reporting mode is statistical value increment data reporting;
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.
Optionally, the apparatus further comprises: a receiving module;
the receiving module is used for starting a timer, receiving the acquired data of each moment acquired by the terminal of the Internet of things, and stopping acquisition after the timing is overtime to obtain the acquired data of each moment in the current acquisition period.
The receiving module is further used for starting the 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, so as to obtain the acquired data in the current acquisition period.
The foregoing apparatus is used for executing the method provided in the foregoing embodiment, and its implementation principle and technical effects are similar, and are not described herein again.
The above modules may be one or more integrated circuits configured to implement the above methods, for example: one or more application specific integrated circuits (Application Specific Integrated Circuit, abbreviated as ASIC), or one or more microprocessors (digital singnal processor, abbreviated as DSP), or one or more field programmable gate arrays (Field Programmable Gate Array, abbreviated as FPGA), or the like. For another example, when a module above is implemented in the form of a processing element scheduler code, the processing element may be a general-purpose processor, such as a central processing unit (Central Processing Unit, CPU) or other processor that may invoke the program code. For another example, the modules may be integrated together and implemented in the form of a system-on-a-chip (SOC).
The modules may be connected or communicate with each other via wired or wireless connections. The wired connection may include a metal cable, optical cable, hybrid cable, or the like, or any combination thereof. The wireless connection may include a connection through a LAN, WAN, bluetooth, zigBee, or NFC, or any combination thereof. Two or more modules may be combined into a single module, and any one module may be divided into two or more units. It will be clearly understood by those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described system and apparatus may refer to corresponding procedures in the method embodiments, which are not described in detail in this application.
Fig. 8 is a schematic structural diagram of an electronic device according to an embodiment of the present application, where the device may be a computing device with a data processing function.
The apparatus may include: a processor 801, and a storage medium 802.
The storage medium 802 is used to store a program, and the processor 801 calls the program stored in the storage medium 802 to execute the above-described method embodiment. The specific implementation manner and the technical effect are similar, and are not repeated here.
In which the storage medium 802 stores program code that, when executed by the processor 801, causes the processor 801 to perform various steps in the data processing method of the internet of things terminal according to various exemplary embodiments of the present application described in the "exemplary method" section of the present specification.
The processor 801 may be a general purpose processor such as a Central Processing Unit (CPU), digital signal processor (Digital Signal Processor, DSP), application specific integrated circuit (Application Specific Integrated Circuit, ASIC), field programmable gate array (Field Programmable Gate Array, FPGA) or other programmable logic device, discrete gate or transistor logic, discrete hardware components, and may implement or perform the methods, steps, and logic blocks disclosed in embodiments of the present application. The general purpose processor may be a microprocessor or any conventional processor or the like. The steps of a method disclosed in connection with the embodiments of the present application may be embodied directly in a hardware processor for execution, or in a combination of hardware and software modules in the processor for execution.
The storage medium 802 is a non-volatile computer-readable storage medium that can be used to store non-volatile software programs, non-volatile computer-executable programs, and modules. The storage medium may include at least one type of storage medium, and may include, for example, flash Memory, a hard disk, a multimedia card, a card-type storage medium, a random access storage medium (Random Access Memory, RAM), a static random access storage medium (Static Random Access Memory, SRAM), a programmable Read-Only storage medium (Programmable Read Only Memory, PROM), a Read-Only storage medium (ROM), a charged erasable programmable Read-Only storage medium (Electrically Erasable Programmable Read-Only storage), a magnetic storage medium, a magnetic disk, an optical disk, and the like. A storage medium is any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer, but is not limited to such. The storage medium 802 in the embodiments 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 also provides a program product, such as a computer readable storage medium, comprising a program for performing the above-described method embodiments when being executed by a processor.
In the several embodiments provided in this application, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of the units is merely a logical function division, and there may be additional divisions when actually implemented, e.g., multiple units or components may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other form.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may 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 in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in hardware plus software functional units.
The integrated units implemented in the form of software functional units described above may be stored in a computer readable storage medium. The software functional unit is stored in a storage medium, and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) or a processor (english: processor) to perform part of the steps of the methods described in the embodiments of the present application. And the aforementioned storage medium includes: u disk, mobile hard disk, read-Only Memory (ROM), random access Memory (Random Access Memory, RAM), magnetic disk or optical disk, etc.
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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