CN107277011B

CN107277011B - Data classification method and device for terminal equipment

Info

Publication number: CN107277011B
Application number: CN201710462760.8A
Authority: CN
Inventors: 杜光东
Original assignee: Shenzhen Shenglu IoT Communication Technology Co Ltd
Current assignee: Shenzhen Shenglu IoT Communication Technology Co Ltd
Priority date: 2017-06-16
Filing date: 2017-06-16
Publication date: 2020-02-18
Anticipated expiration: 2037-06-16
Also published as: CN107277011A; WO2018227699A1

Abstract

The invention relates to the technical field of Internet of things and provides a data classification method and device for terminal equipment. The method comprises the following steps: in the Internet of things constructed based on a chirp protocol, a forwarding node reads chirp data broadcast by a terminal device, wherein the chirp data carries a classification label for the forwarding node to identify the chirp data; the Internet of things at least comprises terminal equipment and forwarding nodes; the forwarding node selects and receives the chirp data according to the classification label, wherein the classification label comprises a public field, and the classification identification information of the terminal equipment is expressed in the public field. According to the chirp data classification method and the terminal equipment, the terminal equipment broadcasts the chirp data, the forwarding node selectively receives the chirp data according to the classification label carried by the chirp data, the fact that the forwarding node receives the chirp data which belong to the jurisdiction range of the forwarding node is achieved, the effect that the forwarding node automatically classifies the chirp data of the terminal equipment is achieved, and the problem that the existing data classification method of the terminal equipment cannot classify massive and newly added terminal equipment is solved.

Description

Data classification method and device for terminal equipment

Technical Field

The invention relates to the technical field of Internet of things, in particular to a data classification method and device for terminal equipment.

Background

The quantity of terminal equipment in the thing networking far surpasss the quantity of terminal equipment in traditional internet, and the concrete expression is: the number of terminal devices in the traditional Internet is about 30-50 hundred million, and the number of terminal devices in the Internet of things is about 7000-10000 million. Currently, IPv6 (abbreviation of Internet Protocol Version 6, in which Internet Protocol is translated into "Internet Protocol") is the next-generation IP Protocol designed by the Internet engineering task force to replace the current Version IP Protocol (IPv 4). However, IPv6 is not the best choice for internet of things services for reasons including:

firstly, the data processing capability and the device memory required by running the IPv6 protocol, and running the IPv6 protocol requires that the terminal device has higher data processing capability and larger device memory to provide a site for data processing, however, the terminal device in the internet of things is difficult to bear these extra loads.

Second, the inefficiency of the IPv6 protocol itself. First, the primary consideration when the IP protocol was originally designed was P2P (peer to peer) peer-to-peer communication between a mainframe and a host. Such information exchange often involves large data blocks, so the IP protocol is mainly directed to large information loads. Secondly, at the beginning of the link establishment between the host and the host, because WAN (wide area Network) connection is extremely expensive and unreliable, it is imperative to introduce functions such as addressing mechanism, error check and retransmission of both the transmitting and receiving parties in the IP protocol, so as to enhance the robustness between the host and the host. The result is necessarily a very high header overhead of up to 40 bytes for a single IPv6 packet. The large amount of IP overhead is mainly due to security, encryption and other related services, but seems meaningless for the internet of things, which is dominated by simple end devices.

Third, although the initial assumption of the IP protocol was for M2M (Machine to Machine) traffic, most of the IP traffic of the internet today is mainly directed to human communication. These IP traffic completes long duration sessions over relatively expensive links (host-to-host links) and to some extent full duplex interaction (meaning that bi-directional transmission of signals, e.g., a → B and B → a) can occur simultaneously (instantaneously)). Since each packet is almost a prerequisite for human semantic understanding, the IP protocol must guarantee high reliability and recoverability. As a general design protocol for carrying various data, the IP protocol must add those extra overheads in each transmission. And the header structure of the IP protocol is strictly defined, the standard is unified, and most of the IP protocol can not be modified. The IP protocol establishes a Maximum Transmission Unit (MTU) to indicate the size of the largest data packet that can be carried by a link. The IPv6 protocol supports 1280 bytes MTU, and most networks currently have MTU values even as high as 1500 bytes. P2P host traffic typically requires application management, matching larger packets in chunks according to MTU, to maximize transmission efficiency. With limited size packets, the proportion of IP overhead in the overall transmission cost is small. For example, 40 bytes of IPv6 header overhead plus 1280 bytes of MTU achieves approximately 97% efficiency. In practical applications, a response packet needs to be sent for each received packet, so the overhead is usually doubled. Even without data payload, IPv 6's reply packet amounts to at least 40 bytes (in a host-to-host scenario there is typically some data that needs to be returned, so this overhead is not always wasted).

Because the data of the terminal device in the internet of things is M2M (Machine to Machine) oriented service, the data volume is small, the cycle period is low, and the data is usually sporadic, single and undefined data flow. Moreover, the locations of these terminals are not limited to a specific country, and may be from different countries and different manufacturers all over the world, so that it is difficult to unify the device addresses of the terminals, and it is also difficult to systematically identify and classify the data of the terminals. The current data classification method of the terminal equipment cannot cope with the current situation that new types of terminal equipment and combinations thereof are continuously added into the internet. Namely, the problem that the existing data classification method of the terminal equipment cannot complete systematic classification of massive and newly added data of the terminal equipment.

Disclosure of Invention

In view of this, embodiments of the present invention provide a data classification method and system for a terminal device, so as to solve the problem that the data classification method for the current terminal device cannot perform systematic classification on massive and newly added data of the terminal device.

In a first aspect of the embodiments of the present invention, a data classification method for a terminal device is provided, including:

in the Internet of things established based on a chirp protocol, a forwarding node reads chirp data broadcast by the terminal equipment, wherein the chirp data carries a classification label used for identifying the chirp data by the forwarding node;

and the forwarding node selects and receives the chirp data according to the classification label, wherein the classification label comprises a public field, and classification identification information of the terminal equipment is expressed in the public field.

In a first possible implementation manner of the first aspect, the classification tag of the chirp data further includes a private field, where the private field at least includes a private load field, and the private load field is used to carry state information of the terminal device, and the state information is used to express a working state of the terminal device and/or a monitoring data value of the terminal device.

In a second possible implementation manner of the first aspect, before the forwarding node selects to receive the chirp data according to the classification label, the data classification method of the terminal device further includes:

counting the types of the terminal devices newly added into the Internet of things, and acquiring the types and the number of the terminal devices currently added into the Internet of things based on the types of the original terminal devices and the types of the newly added terminal devices;

calculating the minimum fine granularity of the classification labels required when the chirp data of the terminal equipment currently joining the Internet of things are classified based on the number of the types;

for updating the minimum fine granularity.

In a third possible implementation manner of the first aspect, after the forwarding node selects to receive the chirp data according to the classification label, the data classification method of the terminal device further includes:

the forwarding node performs duplicate removal processing on the received chirp data to obtain duplicate removal data;

and the forwarding node analyzes the duplication-removing data, packages the analyzed data and related data to acquire packaged data, wherein the related data is the scene information which is added to the terminal equipment and corresponds to the chirp data.

With reference to the third possible implementation manner of the first aspect, in a fourth possible implementation manner, after the forwarding node parses the deduplication data, encapsulates the parsed data and related data, and obtains encapsulated data, where the related data is context information attached to the terminal device corresponding to the chirp data, the data classification method for the terminal device further includes:

and the forwarding node forwards the encapsulated data to other forwarding nodes or to a server.

In a second aspect, a data classification apparatus of a terminal device is provided, including:

the reading unit is used for reading chirp data broadcasted by the terminal equipment by a forwarding node in the Internet of things established based on a chirp protocol, wherein the chirp data carries a classification label used for identifying the chirp data by the forwarding node;

and the forwarding node selects to receive the chirp data according to the classification label, wherein the classification label comprises a public field, and the public field expresses classification identification information of the terminal equipment.

In a second possible implementation manner of the first aspect, the data classification apparatus of the terminal device further includes:

the statistical unit is used for counting the types of the terminal devices newly added into the Internet of things, and acquiring the types and the number of the terminal devices currently added into the Internet of things based on the types of the original terminal devices and the types of the newly added terminal devices;

the calculation unit is used for calculating the minimum fine granularity of the required classification label when the chirp data of the terminal equipment currently added to the Internet of things are classified based on the type number;

and the updating unit is used for updating the minimum fine granularity.

In a third possible implementation manner of the first aspect, the data classification apparatus of the terminal device further includes:

a duplicate removal unit, configured to perform duplicate removal processing on the chirp data received by the forwarding node to obtain duplicate removal data;

and the encapsulation unit is used for analyzing the duplication removing data by the forwarding node, encapsulating the analyzed data and related data to acquire encapsulated data, wherein the related data is the scene information which is added to the terminal equipment and corresponds to the chirp data.

With reference to the third possible implementation manner of the first aspect, in a fourth possible implementation manner, the data classification apparatus of the terminal device further includes:

The technical scheme provided by the embodiment of the invention has the following beneficial effects: the chirp data are broadcast by the terminal equipment, and the forwarding node selectively receives the chirp data according to the classification label carried by the chirp data, so that the forwarding node receives the chirp data belonging to the jurisdiction range of the forwarding node, large expenses caused by introducing functions of addressing mechanisms, error checking, retransmission and the like of a transmitter and a receiver are avoided, addresses are simplified, expenses caused by retransmission are reduced, the expenses are minimized, the effect of automatically classifying the chirp data of the terminal equipment by the forwarding node is achieved, and the problem that the existing data classification method of the terminal equipment cannot classify massive and newly added terminal equipment is solved.

Drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.

Fig. 1 is a flowchart of a data classification method of a terminal device according to an embodiment of the present invention;

FIG. 2-A is a diagram of a category label common field provided by an embodiment of the invention;

FIG. 2-B is a diagram of a classification label private field provided by an embodiment of the invention;

fig. 3 is a flowchart of a data classification method of a terminal device according to a second embodiment of the present invention;

fig. 4 is a flowchart of a data classification method of a terminal device according to a third embodiment of the present invention;

fig. 5 is a flowchart of a data classification method of a terminal device according to a fourth embodiment of the present invention;

fig. 6 is a flowchart of a data classification method of a terminal device according to a fifth embodiment of the present invention;

fig. 7 is a block diagram of a data classification apparatus of a terminal device according to a sixth embodiment of the present invention;

fig. 8 is a block diagram of a data classification apparatus of a terminal device according to an eighth embodiment of the present invention;

fig. 9 is a block diagram of a data classification apparatus of a terminal device according to a ninth embodiment of the present invention;

fig. 10 is a block diagram of a data classification apparatus of a terminal device according to a tenth embodiment of the present invention;

fig. 11 is a block diagram of a data classification apparatus of a terminal device according to an eleventh embodiment of the present invention.

Detailed Description

In order to make the objects, technical solutions and advantages of the present invention more apparent, embodiments of the present invention will be described in detail with reference to the accompanying drawings.

Reference will now be made in detail to the specific embodiments, examples of which are illustrated in the accompanying drawings. In the following detailed description, numerous specific details are set forth in order to provide a thorough understanding of various described embodiments. It will be apparent, however, to one skilled in the art that the various described embodiments may be practiced without these specific details. In other instances, well-known methods, procedures, components, circuits, and networks have not been described in detail as not to unnecessarily obscure aspects of the embodiments.

The terminology used in the description of the various described embodiments herein is for the purpose of describing particular embodiments only and is not intended to be limiting. As used in the description of the various described embodiments and the appended claims, the singular forms "a", "an", and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will also be understood that the term "and/or" as used herein refers to and includes any and all possible combinations of one or more of the associated listed items. It will be further understood that the terms "comprises" and/or "comprising," when used in this specification, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, operations, elements, components, and/or groups thereof.

Example one

Fig. 1 shows a flowchart of a data classification method of a terminal device according to an embodiment of the present invention. As shown in fig. 1, the data classification method of the terminal device specifically includes the following steps S101 to S103.

Step S101: in the Internet of things established based on a chirp protocol, a forwarding node reads chirp data broadcast by the terminal equipment, wherein the chirp data carries a classification label used for identifying the chirp data by the forwarding node; the internet of things at least comprises the terminal equipment and the forwarding node.

The chirp protocol is different from the traditional IPV6 protocol, and the terminal equipment in the Internet of things constructed based on the chirp protocol does not contain any error check, routing mechanism or high-level addressing. A terminal device in the internet of things (like a busy worker bee) will generate a very small chirp data stream, but will fully satisfy the requirements for connecting to other terminal devices in the internet of things. And establishing an Internet of things based on a chirp protocol, wherein the Internet of things at least comprises the terminal equipment and the forwarding node. The terminal device may be an appliance in the internet of things (e.g., an air conditioner, a refrigerator, and a washing machine in a home appliance), a sensor (e.g., a humidity sensor), or an actuator (e.g., a traffic light controller). The terminal equipment broadcasts chirp data, and the forwarding node reads the chirp data broadcast by the terminal equipment.

For example, the output data of a temperature sensor may be only 8 bits or even less, many similar applications are integrated, and the total data load is also around 1 byte. If the IPv6 protocol were introduced into these similar applications, the total efficiency would be only 2% for a 40 byte IPv6 header plus 1 byte of sensor data. However, the chirp data can minimize the overhead of data by simplifying an address, reducing retransmission overhead, and the like. Alternatively, the structure of the chirp data may be adjusted according to the type and size of data generated by the terminal device, thereby ensuring efficiency maximization. For example, a minimum chirp data (4.5 bytes in total, 3.5 bytes overhead) is used to send a 1-byte payload with an efficiency of 22%, which is an order of magnitude better than IPv 6.

In the embodiment of the invention, the terminal equipment broadcasts the chirp data, thereby avoiding large expenses caused by introducing the functions of addressing mechanism, error check, retransmission and the like of the receiving and transmitting parties, simplifying the address, reducing the expenses caused by retransmission and minimizing the expenses; the chirp data carries a classification label used for the forwarding node to identify the chirp data, so that the forwarding node can identify which terminal device the chirp data originates from through the classification label.

Step S102: and the forwarding node selects and receives the chirp data according to the classification label, wherein the classification label comprises a public field, and classification identification information of the terminal equipment is expressed in the public field.

Wherein, a plurality of forwarding nodes exist in the internet of things. When the chirp data flows through a certain forwarding node, the forwarding node selects whether to receive the chirp data according to a common field in a classification label carried by the chirp data. And if the forwarding node determines that the common field belongs to the jurisdiction range of the forwarding node after checking the common field, selecting to receive chirp data corresponding to the common field. One forwarding node may govern a plurality of terminal devices, and correspondingly one forwarding node may receive chirp data of the plurality of terminal devices.

For example, a plurality of pieces of chirp data (including chirp data a) flow to a plurality of forwarding nodes (including forwarding node a) and when the plurality of pieces of chirp data flow through the forwarding node a, the forwarding node a selects whether or not it is necessary to receive chirp data of an end device, based on the classification identification information of the end device loaded in a common field in the classification tags carried by the plurality of chirps. It is not assumed here that the chirp data a is data sent by a humidity sensor, and the forwarding node a correspondingly receives chirp data of various sensors. Therefore, when the chirp data a sent by the humidity sensor flows through the forwarding node a, the forwarding node a determines that the type of the terminal device corresponding to the chirp data a belongs to the jurisdiction of the forwarding node a according to the terminal device classification information (for example, the classification information may be the device type) loaded in the common field in the classification tag carried by the chirp data a, that is, the chirp data sent by the terminal device in the jurisdiction of the forwarding node a is selected and received from the chirp data according to the terminal device classification identification information expressed in the common field in the classification tags carried by the chirp data a.

The expression method of the classification label is described below by way of an example. For example, referring to fig. 2-a, 1, 2, 3 and 4 respectively represent a first byte, a second byte, a third byte and a fourth byte, and the category label common field is represented by a category combination of 4 bytes, wherein the second byte may be a common field used to express category identification information of the terminal device.

Alternatively, referring to fig. 2-a, the last byte (fourth byte) in the 4-byte sorted combination is represented by an 8-bit (equal to 1 byte) dedicated tag. The class label can be expressed as 4.8(XXXX), where XXXX can be more fine-grained level, specified by 8-bit special labels and 4-byte class combinations, i.e. the chirp data can be flexibly formatted by special labels. In this case, an 8-bit dedicated tag explains how to parse a 4-byte class combination, including class identification information (e.g., terminal device type) in a common field and a data composition structure of the 4 bytes. This 4.8 mode can provide sufficient information for the forwarding node. The forwarding node may obtain specific information from an 8-bit label, such as an 8-bit label pattern like 1.1.1.1.1.1.1.1 (or 255). This value of 255 means that each of the 4 bytes described above is a 1-byte class subclass. Thus, 4 bytes can be represented in the a.b.c.d format, where each letter occupies 1 byte of space, representing some categorical subclass. Thus, a complete explanation of this classification structure can be expressed as 4.8.255. a.b.c.d. A continuous progressive classification pattern is provided for certain chirp data as follows:

4；

4.8；

4.8.255；

4.8.255.A；

4.8.255.A.B；

4.8.255.A.B.C；

4.8.255.A.B.C.D。

clearly, a.b.c.d is completely different from b.c.a.d. The four letters of ABCD thus have 4 x 4 (a special case of 256 including null sets) or 255 non-null combinations, which 255 combinations can provide great flexibility in the way of 4-byte sorted combinations. Very short chirp data can express various information contents.

It is understood that the forwarding node has a locality, and although the randomness of the above combination cannot ensure that the chirp data has the uniqueness of an IP address or a MAC identifier, it is quite obvious for the local forwarding node that the terminal device classification identification information is sufficient for the forwarding node to identify different terminal devices.

In the embodiment of the invention, the forwarding node selects to receive the chirp data according to the classification identification information of the terminal equipment expressed in the classification label public field carried by the chirp data of the terminal equipment, and the public field of the chirp data does not need to be analyzed in the judgment process before the chirp data is selected to be received, so that the processing mode is flexible and the processing efficiency is high.

In summary, in the data classification method for a terminal device provided in the embodiments of the present invention, chirp data is broadcast by the terminal device, and a forwarding node selects to receive the chirp data according to a classification tag carried by the chirp data, so that the forwarding node receives the chirp data belonging to its jurisdiction range, thereby avoiding large overhead caused by introducing functions of an addressing mechanism, error checking, retransmission, and the like of a transmitting and receiving party, simplifying an address, reducing overhead caused by retransmission, minimizing overhead, achieving an effect that the forwarding node automatically classifies the chirp data of the terminal device, and solving a problem that a current data classification method for a terminal device cannot classify massive and newly added terminal devices.

Example two

On the basis of the first embodiment, in order to obtain more detailed relevant information of the terminal device after receiving the chirp data according to the classification identification information in the common field of the chirp data, after the step S102, as shown in fig. 3, the method further includes:

s201: the classification label of the chirp data further includes a private field, where the private field at least includes a private load field, and the private load field is used to carry state information of the terminal device, and the state information is used to express a working state of the terminal device and/or a monitoring data value of the terminal device.

Wherein the private field is located after the public field, and referring to fig. 2-B, 5, 6 and 7 represent a fifth byte, a sixth byte and a seventh byte, respectively; the class label private field may be represented by a 3-byte class combination, wherein the second byte may be a private payload field in which the state information of the terminal device is loaded. For example, the status information of one air quality sensor may be its measured current status, i.e., the air quality sensor is transmitted from power-on and retransmits the classification identification information expressed as the air quality sensor in the common field, and the private load field is loaded with chirp data for the measured current status until power is turned off; the corresponding forwarding node receives the air quality sensor according to the public field and performs further operation according to the private field. In this way, the embedded software and hardware design necessary for the terminal device is simplified.

Optionally, the affinity of the terminal device and the forwarding node is loaded in the private field. For example, a certain terminal device is associated with a kitchen forwarding node.

Optionally, the location relationship of the terminal device is loaded in the private field. For example, a terminal device is located in the kitchen near the oven.

In summary, in the data classification method for a terminal device provided in the embodiment of the present invention, the private field is added in the classification tag of the terminal device, and the private field carries the state information of the terminal device, so that the forwarding node can perform further operation according to the state information and the related information, and the processing manner is flexible.

EXAMPLE III

On the basis of the first embodiment, as a third embodiment of the present invention, in order to classify chirp data systematically more efficiently, fig. 4 shows a flowchart of a data classification method of a terminal device provided by the third embodiment of the present invention. Before S102 in the first embodiment, as shown in fig. 4, the data classification method of the terminal device specifically further includes the following steps S301 to S303.

Step S301: and counting the types of the terminal equipment newly added into the Internet of things, and acquiring the type quantity of the terminal equipment currently added into the Internet of things based on the types of the original terminal equipment and the types of the newly added terminal equipment.

For convenience of expression, the following are defined: the old internet of things refers to the internet of things when no terminal equipment is newly added, and the terminal equipment in the old internet of things is called as original terminal equipment; the current internet of things refers to the internet of things with new terminal equipment added in the old internet of things, and the terminal equipment in the current internet of things is called current terminal equipment. Since the terminal devices are continuously added to the internet of things, a first category of these newly added terminal devices, which does not belong to the terminal devices already existing in the old internet of things (original terminal devices), is present, i.e., a second category of the newly added terminal devices. And adding the first category and the second category to obtain the sum of all categories of the current terminal equipment.

Optionally, the statistical time interval may be set according to actual needs.

In the embodiment of the invention, the sum of all the types of the current terminal equipment is obtained by counting the second type of the newly added terminal equipment, and the type and the sum of the types of the current terminal equipment in the current internet of things are updated.

Step S302: and calculating the minimum fine granularity of the required classification label when classifying the chirp data of the terminal equipment currently added to the Internet of things based on the number of the types.

Wherein the fine granularity may be a fine degree of a classification label of the chirp data. For example, the fine particle sizes are represented as 1, 2, 3, 4, 5, 6 and 7 in sequence from coarse to fine, the classification is relatively coarse when the fine particle size is 1 (e.g., 4 in example one), and the classification is relatively fine when the fine particle size is 5 (e.g., 4.8.255.a.b in example one). The class and the sum of the classes of the current terminal device have been obtained in step S301, and the minimum fine-grained level of the classification tags required to classify the chirp data of the current terminal device is calculated based on the sum of the classes. For example, if the minimum fine granularity of the classification label required for classifying the chirp data of the current terminal device is calculated based on the sum of the types is 4, it is obvious that the fine granularity of 5, 6 or 7 meets the condition, that is, the classification of the chirp data of the current terminal device can be completed; when the fine granularity is 1, 2 or 3, the fine granularity is too coarse compared with the type of the current terminal equipment, so that the classification of the chirp data of the current terminal equipment cannot be completed, and the minimum fine granularity of a classification label required for classifying the chirp data of the current terminal equipment is 4.

In the embodiment of the invention, the minimum fine granularity of the classification labels required for classifying the chirp data of the current terminal equipment is calculated through the sum of the types, and the minimum fine granularity required for matching the types and the sum of the types of the current terminal equipment in the current internet of things is provided.

Step S303: for updating the minimum fine granularity.

It can be understood that there is no case where the fine granularity of the classification tag into which the chirp data of the original terminal device is classified is larger than the minimum fine granularity. When the fine granularity of the classification label for classifying the chirp data of the original terminal equipment is equal to the minimum fine granularity, continuing to use the fine granularity of the classification label for classifying the chirp data of the original terminal equipment; and when the fine granularity of the classification label for classifying the chirp data of the original terminal equipment is smaller than the minimum fine granularity, updating the minimum fine granularity.

For example, the fine granularity of the classification label for classifying the chirp data of the original terminal device is 3, and when a newly added terminal device forms the current internet of things (the current terminal device is owned inside), the step S302: based on the sum of the types of the current terminal equipment, if the minimum fine granularity of the classification label required for classifying the chirp data of the current terminal equipment is calculated to be 3 (indicating that although the terminal equipment is newly added, the fine granularity of the classification label for classifying the chirp data of the original terminal equipment is still enough), classifying the chirp data of the current terminal equipment along with the fine granularity 3 of the classification label for classifying the chirp data of the original terminal equipment; if the minimum fine granularity of the classification label required for classifying the chirp data of the current terminal equipment is calculated to be 4 (which indicates that the fine granularity of the classification label for classifying the chirp data of the original terminal equipment is not enough after the terminal equipment is newly added), updating the minimum fine granularity, namely classifying the chirp data of the current terminal equipment by using the minimum fine granularity 4.

In the embodiment of the invention, the minimum fine granularity is updated by judging that the fine granularity of the classification label for classifying the chirp data of the original terminal equipment is smaller than the minimum fine granularity of the classification label for classifying the chirp data of the current terminal equipment, so that resources are fully utilized and the classification is reasonable.

In summary, in the data classification method for a terminal device provided in the embodiment of the present invention, the minimum fine granularity of the classification label required for classifying the chirp data of the current terminal device is calculated by obtaining the sum of all the types of the current terminal device and based on the sum of all the types, and is updated to the minimum fine granularity, so that the current terminal device in the current internet of things is matched with the best (minimum) fine granularity, resources are fully utilized, and classification is reasonable.

Example four

On the basis of the first embodiment, as a fourth embodiment of the present invention, fig. 5 shows a flowchart of a specific implementation of the data classification method of the terminal device provided by the fifth embodiment of the present invention. After S102 in the first embodiment, the data classification method of the terminal device further includes the following step S401 and step S402.

S401: and the forwarding node performs duplicate removal processing on the received chirp data to obtain duplicate removal data.

After receiving the chirp data, the forwarding node needs to perform deduplication on the received chirp data, that is, some repeatedly invalid chirp data are discarded to obtain deduplication data.

In the embodiment of the invention, the de-duplication can improve the efficiency of the subsequent chirp data processing.

S402: and the forwarding node analyzes the duplication-removing data, packages the analyzed data and related data to acquire packaged data, wherein the related data is the scene information which is added to the terminal equipment and corresponds to the chirp data.

And the forwarding node analyzes the duplicate removal data, namely further analyzing and mining. For example, the forwarding node parses the deduplication data of the humidity sensing terminal device (monitoring the moisture content percentage of the surrounding soil), obtains the moisture content percentage of the surrounding soil loaded in the private field, and encapsulates the moisture content percentage of the surrounding soil and related data, such as additional scene information (such as time, place, and weather information), to obtain the encapsulation data.

In the embodiment of the present invention, the forwarding node analyzes the duplication removal data, encapsulates the analyzed data and related data, and obtains encapsulated data, where the related data is scene information attached to the terminal device corresponding to the chirp data, which is helpful for more accurately positioning and identifying a certain terminal device.

In summary, in the data classification method for a terminal device provided in the embodiments of the present invention, the forwarding node performs deduplication on the chirp data, so as to improve efficiency of processing the chirp data, and in addition, the deduplication data is analyzed, and the analyzed data and the related data are encapsulated to obtain encapsulated data, which is beneficial to more accurately positioning and identifying a certain terminal device.

EXAMPLE five

On the basis of the fourth embodiment, as a fourth embodiment of the present invention, fig. 6 shows a flowchart of a specific implementation of the data classification method of the terminal device provided in the fifth embodiment of the present invention. After the above step S402, the data classification method of the terminal device further includes the following step S501.

Step S501: and the forwarding node forwards the encapsulated data to other forwarding nodes or to a server.

Wherein, a part of forwarding nodes (top nodes) are directly connected with the server through the internet, and the forwarding nodes can directly send the encapsulated data to the server; if some other forwarding nodes are not directly connected to the server, data interaction (which may be in the form of chirp data or a conventional IP protocol) needs to be performed with other connected forwarding nodes, and finally, the encapsulated data is forwarded to the server. Eventually, large data is formed in the server.

The data classification method of the terminal equipment provided by the embodiment of the invention can finally converge the chirp data of the terminal equipment into big data in the server, and is convenient to call and analyze.

Those of ordinary skill in the art will understand that: all or part of the steps for implementing the method embodiments may be implemented by hardware related to program instructions, and the program may be stored in a computer readable storage medium, and when executed, the program performs the steps including the method embodiments; and the aforementioned storage medium includes: various media that can store program codes, such as ROM, RAM, magnetic or optical disks.

EXAMPLE six

Referring to fig. 7, a block diagram of a data classifying apparatus of a terminal device according to a sixth embodiment of the present invention is shown. Data classification device of terminal equipment includes: a reading unit 61 and a selection receiving unit 62. The specific functions of each module are as follows:

the reading unit 61 is configured to, in the internet of things constructed based on the chirp protocol, read chirp data broadcast by the terminal device by the forwarding node, where the chirp data carries a classification tag used by the forwarding node to identify the chirp data.

And a selection receiving unit 62, where the forwarding node selects and receives the chirp data according to a classification label, where the classification label includes a common field, and the classification identification information of the terminal device is expressed in the common field.

In summary, the data classification apparatus for a terminal device provided in this embodiment broadcasts chirp data through the terminal device, and a forwarding node selects to receive the chirp data according to a classification tag carried by the chirp data, so that the forwarding node receives the chirp data belonging to its jurisdiction, thereby avoiding large overhead caused by introducing functions of an addressing mechanism, error checking, retransmission, and the like of a transmitting side and a receiving side, simplifying an address, reducing overhead caused by retransmission, minimizing overhead, achieving an effect that the forwarding node automatically classifies the chirp data of the terminal device, and solving a problem that a current data classification method for the terminal device cannot classify massive and newly added terminal devices.

EXAMPLE seven

The data classification apparatus of the terminal device according to the seventh embodiment of the present invention may adopt the structural block diagram shown in fig. 7. In this embodiment, the data classification apparatus of the terminal device includes: the method comprises the following steps: a reading unit 61 and a selection receiving unit 62. The specific functions of each module are as follows:

the reading unit 61 is configured to read, by the forwarding node, chirp data broadcast by the terminal device in the internet of things established based on the chirp protocol, where the chirp data carries a classification tag used by the forwarding node to identify the chirp data;

The classification label of the chirp data further comprises a private field, wherein the private field at least comprises a private load field, the private load field is used for carrying state information of the terminal device, and the state information is used for expressing the working state of the terminal device and/or a monitoring data value of the terminal device.

In summary, the data classification apparatus for a terminal device provided in the embodiments of the present invention adds the private field in the classification tag of the terminal device, where the private field carries the state information of the terminal device, so that the forwarding node can perform further operations according to the state information and related information, and the processing manner is flexible.

Example eight

Referring to fig. 8, a block diagram of a data classifying apparatus of a terminal device according to an eighth embodiment of the present invention is shown. In this embodiment, the data classification apparatus of the terminal device includes: a reading unit 61 and a selection receiving unit 62. The specific functions of each module are as follows:

Preferably, the method further comprises the following steps:

a counting unit 71, configured to count types of newly added terminal devices, and obtain a sum of all types of current terminal devices based on an original type of the terminal device and the type of the newly added terminal device;

the calculating unit 72 is configured to calculate a minimum fine granularity of a classification tag required when classifying chirp data of a terminal device currently joining the internet of things based on the number of types;

an updating unit 73, configured to update the minimum fine granularity.

In summary, the data classification apparatus for a terminal device provided in this embodiment calculates the minimum fine granularity of the classification label required for classifying the chirp data of the current terminal device by obtaining the sum of all types of the current terminal device and based on the sum of all types, updates the minimum fine granularity to the minimum fine granularity, matches the best (minimum) fine granularity for the current terminal device in the current internet of things, fully utilizes resources, and is reasonable in classification.

Example nine

Referring to fig. 9, a block diagram of a data classifying apparatus of a terminal device according to a ninth embodiment of the present invention is shown. In this embodiment, the data classification apparatus of the terminal device includes: a reading unit 61 and a selection receiving unit 62. The specific functions of each module are as follows:

Preferably, the method further comprises the following steps:

a duplicate removal unit 81, configured to perform duplicate removal processing on the received chirp data by using the forwarding node to obtain duplicate removal data;

and the encapsulating unit 82 is configured to analyze the duplicate removal data by the forwarding node, encapsulate the analyzed data and related data, and acquire encapsulated data, where the related data is scene information attached to the terminal device corresponding to the chirp data.

In summary, in the data classification apparatus for a terminal device provided in this embodiment, the forwarding node performs deduplication on the chirp data, so that efficiency of processing the chirp data is improved, and in addition, the deduplication data is analyzed, and the analyzed data and the related data are encapsulated to obtain encapsulated data, which is beneficial to more accurately positioning and identifying a certain terminal device.

Example ten

Referring to fig. 10, a block diagram of a data classification apparatus of a terminal device according to a tenth embodiment of the present invention is shown. In this embodiment, the data classification apparatus of the terminal device includes: a reading unit 61 and a selection receiving unit 62. The specific functions of each module are as follows:

Preferably, the method further comprises the following steps:

And a forwarding unit 91, which forwards the encapsulated data to other forwarding nodes or to a server.

In summary, in the data classification apparatus for a terminal device provided in this embodiment, the forwarding node performs deduplication on the chirp data, so that efficiency of processing the chirp data is improved, and in addition, the deduplication data is analyzed, and the analyzed data and the related data are encapsulated to obtain encapsulated data, which is beneficial to more accurately positioning and identifying a certain terminal device. In addition, the chirp data of the terminal equipment can be finally converged into big data in the server, so that the calling and the analysis are convenient.

EXAMPLE eleven

Referring to fig. 11, a block diagram of a data classifying device of a terminal device according to an eleventh embodiment of the present invention is shown. In this embodiment, the data classification apparatus of the terminal device includes: a reading unit 61 and a selection receiving unit 62. The specific functions of each module are as follows:

Preferably, the method further comprises the following steps:

an updating unit 73, configured to update the minimum fine granularity.

In the embodiment of the invention, the minimum fine granularity of the classification label required for classifying the chirp data of the current terminal equipment is calculated by obtaining the sum of all types of the current terminal equipment and based on the sum of all types, and is updated to be the minimum fine granularity, so that the best (minimum) fine granularity is matched for the current terminal equipment in the current internet of things; the forwarding node uses the minimum fine granularity to judge the chirp data flowing through the forwarding node through a public field in the chirp data public field, receives the data if the data belongs to the jurisdiction range of the forwarding node, then performs deduplication to obtain deduplication data, analyzes the deduplication data, then encapsulates the deduplication data with related data to obtain encapsulation data, and finally forwards the encapsulation data to other forwarding nodes or a server, so that systematic classification of the chirp data is efficiently completed with minimum overhead.

It should be understood that the above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.

It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-mentioned division of the functional units and modules is illustrated, and in practical applications, the above-mentioned function distribution may be performed by different functional units and modules according to needs, that is, the internal structure of the apparatus is divided into different functional units or modules to perform all or part of the above-mentioned functions. Each functional unit and module in the embodiments may be integrated in one processing unit, or each unit may exist alone physically, or two or more units are integrated in one unit, and the integrated unit may be implemented in a form of hardware, or in a form of software functional unit. In addition, specific names of the functional units and modules are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present application. The specific working processes of the units and modules in the system may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.

Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.

In the embodiments provided in the present invention, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described system embodiments are merely illustrative, and for example, the division of the modules or units is only one logical division, and there may be other divisions when actually implemented, for example, a plurality of units or components may be combined or may be integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.

The units described as separate parts may or may not be physically separate, and parts displayed 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 can be selected according to actual needs to achieve the purpose of the solution of the embodiment.

In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.

The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solutions of the embodiments of the present invention may be implemented in the form of a software product, which is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, a network device, or the like) or a processor (processor) to execute all or part of the steps of the methods described in the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.

The above-mentioned embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the spirit and scope of the technical solutions of the embodiments of the present invention.

The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents and improvements made within the spirit and principle of the present invention are intended to be included within the scope of the present invention.

Claims

1. A data classification method of a terminal device is characterized by comprising the following steps:

the forwarding node selects and receives the chirp data according to the classification label, wherein the classification label comprises a public field, and classification identification information of the terminal equipment is expressed in the public field;

the classification label of the chirp data further includes a private field, where the private field at least includes a private load field, and the private load field is used to carry state information of the terminal device, and the state information is used to express a working state of the terminal device and/or a monitoring data value of the terminal device.

2. The data classification method of claim 1, wherein before the forwarding node selects to receive the chirp data according to the classification tag, the data classification method of the terminal device further comprises:

the forwarding node counts the types of the terminal devices newly added to the Internet of things, and obtains the types and the number of the terminal devices currently added to the Internet of things based on the types of the original terminal devices and the types of the newly added terminal devices;

the forwarding node calculates the minimum fine granularity of a required classification label when classifying the chirp data of the terminal equipment currently joining the Internet of things based on the number of the types;

and the forwarding node updates the minimum fine granularity.

3. The data classification method of claim 1, wherein after the forwarding node selects to receive the chirp data according to the classification tag, the data classification method of the terminal device further comprises:

4. The data classification method according to claim 3, wherein after the forwarding node parses the deduplication data, encapsulates the parsed data and the related data, and obtains the encapsulated data, the method further comprises:

5.A data classification device of a terminal device, comprising:

a reading unit, configured to, in an internet of things constructed based on a chirp protocol, read, by a forwarding node, chirp data broadcast by the terminal device, where the chirp data carries a classification tag used by the forwarding node to identify the chirp data;

a receiving unit, configured to select, by the forwarding node, to receive the chirp data according to the classification tag, where the classification tag includes a common field, and the common field expresses classification identification information of the terminal device;

6. The data classification apparatus of claim 5, wherein the data classification apparatus of the terminal device further comprises:

and the updating unit is used for updating the minimum fine granularity.

7. The data classification apparatus of claim 5, wherein the data classification apparatus of the terminal device further comprises:

a duplicate removal unit, configured to perform duplicate removal processing on the received chirp data by the forwarding node to obtain duplicate removal data;

and the packaging unit is used for analyzing the duplication eliminating data, packaging the analyzed data and related data, and acquiring packaged data, wherein the related data is the scene information added to the terminal equipment corresponding to the chirp data.

8. The data classification apparatus according to claim 7, wherein the data classification apparatus of the terminal device further comprises: