WO2018227699A1 - Procédé et appareil de classification de données de dispositif terminal - Google Patents

Procédé et appareil de classification de données de dispositif terminal Download PDF

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Publication number
WO2018227699A1
WO2018227699A1 PCT/CN2017/093574 CN2017093574W WO2018227699A1 WO 2018227699 A1 WO2018227699 A1 WO 2018227699A1 CN 2017093574 W CN2017093574 W CN 2017093574W WO 2018227699 A1 WO2018227699 A1 WO 2018227699A1
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Prior art keywords
data
terminal device
classification
forwarding node
internet
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PCT/CN2017/093574
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English (en)
Chinese (zh)
Inventor
杜光东
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深圳市盛路物联通讯技术有限公司
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Publication of WO2018227699A1 publication Critical patent/WO2018227699A1/fr

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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L69/00—Network arrangements, protocols or services independent of the application payload and not provided for in the other groups of this subclass
    • H04L69/02—Protocol performance
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L69/00—Network arrangements, protocols or services independent of the application payload and not provided for in the other groups of this subclass
    • H04L69/22—Parsing or analysis of headers
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L2101/00—Indexing scheme associated with group H04L61/00
    • H04L2101/60—Types of network addresses
    • H04L2101/604—Address structures or formats
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L2101/00—Indexing scheme associated with group H04L61/00
    • H04L2101/60—Types of network addresses
    • H04L2101/69—Types of network addresses using geographic information, e.g. room number

Definitions

  • the present invention relates to the field of Internet of Things technologies, and in particular, to a data classification method and apparatus for a terminal device.
  • the number of terminal devices in the Internet of Things far exceeds the number of terminal devices in the traditional Internet.
  • the specific performance is as follows:
  • the number of terminal devices in the traditional Internet is about 3 to 5 billion, and the number of terminal devices in the Internet of Things is about 700. - 100 billion.
  • IPv6 short for Internet Protocol Version 6, in which Internet Protocol translates as "Internet Protocol”
  • IPv4 is the next-generation IP protocol designed by the Internet Engineering Task Force to replace the current version of the IP protocol (IPv4).
  • IPv6 is not the best choice for IoT services, including:
  • the IPv6 protocol requires the terminal device to have higher data processing capability and larger device memory to provide a venue for data processing, but the terminal in the Internet of Things. The device is difficult to withstand these extra loads.
  • the IPv6 protocol itself is inefficient.
  • the IP protocol was originally designed to primarily consider P2P (peer to peer) peer-to-peer communication between the mainframe and the host. This kind of information interaction often involves large data blocks, so the IP protocol is mainly for a large information load.
  • the IP protocol needs to introduce the addressing mechanism and error check of the sender and the receiver. Retransmission and other functions to enhance the robustness between the host and the host. The result must be that the header of a single IPv6 packet is very high, reaching 40 bytes. A large amount of IP credits are mainly from security, encryption and other related services, but it seems meaningless for the Internet of Things, which is dominated by simple terminal devices.
  • IP protocol Third, although the original idea of the IP protocol was for the M2M (Machine to Machine) business, most of the Internet's IP business is still oriented to interpersonal communication. These IP services use a relatively expensive link (the link between the host and the host) to complete a long and long conversation, and to some extent full-duplex interaction (meaning that the signal can be simultaneously (instantaneous)) Two-way transmission, for example: A ⁇ 8 and 8 ⁇ eight)). Since each packet is almost a necessary condition for human semantic understanding, the IP protocol must guarantee high reliability and recoverability. As a universal design protocol for carrying various data, IP The protocol must add those additional credits to each transmission. Moreover, the header structure of the IP protocol is strictly defined, the standard is unified, and the vast majority cannot be modified.
  • the IP protocol establishes a Maximum Transmission Unit (MTU) to indicate the maximum packet size that a link can carry.
  • MTU Maximum Transmission Unit
  • the IPv6 protocol supports 1280 bytes of MTU.
  • P2P host services usually require application management to match larger packets according to MTUs to maximize transmission efficiency.
  • IP credits account for a small percentage of the overall transmission cost. For example, a 40-byte IPv6 header credit plus a 1280-byte MTU achieves an efficiency of approximately 97%.
  • a response packet needs to be sent for each received packet, so the credit is usually doubled. Even with no data payload, IPv6 response packets are at least 40 bytes (in the host-to-host scenario, there are usually some data that needs to be returned, so this kind of credit is not always wasted).
  • the location of these terminal devices is not limited to a specific country, but may be produced in different countries and different manufacturers all over the world, so that the device addresses of the terminal devices are difficult to be unified, and it is difficult to systematically calculate the data of the terminal devices.
  • Land identification and classification At present, the classification method of data of terminal equipment cannot cope with the current situation that new types of terminal equipment and their combinations are continuously added to the Internet. That is, there is a problem that the classification method of the data of the terminal device cannot systematically classify the data of the massive and newly added terminal devices.
  • the embodiments of the present invention provide a data classification method and system for a terminal device, so as to solve the problem that the current data classification method of the terminal device cannot complete the classification of the data system of the massive and newly added terminal devices. .
  • a first aspect of the embodiments of the present invention provides a data classification method for a terminal device, including:
  • the forwarding node reads the ⁇ data broadcast by the terminal device, and the ⁇ data carries a classification label used by the forwarding node to identify the ⁇ data;
  • the forwarding node selects to receive the data according to the classification label, and the classification label includes a public label. a common field in which the classification identification information of the terminal device is expressed.
  • a data classification apparatus for a terminal device including:
  • a reading unit in the Internet of Things based on the ⁇ protocol, the forwarding node reads the ⁇ data broadcast by the terminal device, where the ⁇ data carries the data for the forwarding node to identify the ⁇ data Classification of the standard ⁇ :.
  • a receiving unit the forwarding node selects to receive the data according to the classification label, where the classification label includes a common field, and the classification identification information of the terminal device is expressed in the public field.
  • the technical solution provided by the embodiment of the present invention has the beneficial effects that: the broadcast node broadcasts the data by using the terminal device, and the forwarding node selects and receives the data according to the classification label carried by the data, so that the forwarding node receives the belonging.
  • the data in its jurisdiction avoids the big credit caused by the need to introduce the addressing mechanism, error checking and retransmission functions of the transmitting and receiving parties, which simplifies the address and reduces the credit caused by retransmission.
  • the minimization of the pin has achieved the effect that the forwarding node automatically classifies the data of the terminal device, and solves the problem that the current data classification method of the terminal device cannot complete the classification of the massive and newly added terminal devices.
  • FIG. 1 is a flowchart of a data classification method of a terminal device according to Embodiment 1 of the present invention
  • FIG. 2-A is a schematic diagram of a public field of a classification label according to an embodiment of the present invention.
  • FIG. 2B is a schematic diagram of a private field of a classification label according to an embodiment of the present invention.
  • FIG. 3 is a flowchart of a data classification method of a terminal device according to Embodiment 2 of the present invention.
  • FIG. 4 is a flowchart of a data classification method of a terminal device according to Embodiment 3 of the present invention.
  • FIG. 5 is a flowchart of a data classification method of a terminal device according to Embodiment 4 of the present invention
  • 6 is a flowchart of a data classification method of a terminal device according to Embodiment 5 of the present invention
  • FIG. 7 is a structural block diagram of a data classification apparatus of a terminal device according to Embodiment 6 of the present invention.
  • FIG. 8 is a structural block diagram of a data classification apparatus of a terminal device according to Embodiment 8 of the present invention.
  • FIG. 9 is a structural block diagram of a data classification apparatus of a terminal device according to Embodiment 9 of the present invention.
  • FIG. 10 is a structural block diagram of a data classification apparatus of a terminal device according to Embodiment 10 of the present invention.
  • FIG. 11 is a structural block diagram of a data classification apparatus of a terminal device according to Embodiment 11 of the present invention.
  • FIG. 1 is a flowchart of a data classification method of a terminal device according to Embodiment 1 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 based on the ⁇ protocol, the forwarding node reads the ⁇ data broadcast by the terminal device, where the ⁇ data carries the data for the forwarding node to identify the ⁇ data. a classification tag; the Internet of Things includes at least the terminal device and the forwarding node.
  • the ⁇ protocol is different from the traditional IPV6 protocol, and the terminal device in the Internet of Things based on the ⁇ protocol does not include any error checking, routing mechanism or high-level addressing.
  • Terminal devices in the Internet of Things like busy worker bees
  • the Internet of Things is formed based on the UI protocol, and the Internet of Things includes at least the terminal device and the forwarding node.
  • the terminal device can be an appliance in the Internet of Things (such as an air conditioner in a household appliance, a refrigerator and a washing machine), a sensor (such as a humidity sensor), or an actuator (such as a traffic light control) Controller).
  • the terminal device broadcasts the data, and the forwarding node reads the data broadcast by the terminal device.
  • the output data of a temperature sensor may be only 8 bits or less, and many similar applications are integrated, and the total data load is also about 1 byte. If the IPv6 protocol is introduced into these similar applications, the 40-byte IPv6 header plus 1 byte of sensor data has a total efficiency of only 2%. However, data can be minimized by simplifying the address, reducing retransmissions, and the like. Alternatively, the structure of the data may be adjusted according to the type and size of data generated by the terminal device to ensure maximum efficiency. For example, a minimum of ⁇ data (a total of 4.5 bytes, a total of 3.5 bytes) is used to send a 1-byte payload with an efficiency of 22%, which is an order of magnitude more efficient than IPv6.
  • the terminal device broadcasts the data, which avoids the need to introduce the addressing mechanism, the error check, and the retransmission function of the transmitting and receiving parties, thereby simplifying the address and reducing the weight.
  • the credit caused by the transmission minimizes the credit; the data carries the classification label used by the forwarding node to identify the data, so that the forwarding node can identify the terminal device by using the classification label.
  • Step S102 The forwarding node selects to receive the data according to the classification label, where the classification label includes a public field, and the classification identification information of the terminal device is expressed in the public field.
  • the forwarding node selects whether to receive the data according to a common field in the classification label carried by the data. If the forwarding node determines that the public field belongs to the jurisdiction of the forwarding node after checking the public field, then selecting to receive the data corresponding to the public field.
  • a forwarding node can administer multiple terminal devices, and correspondingly one forwarding node can receive the data of multiple terminal devices.
  • a plurality of ⁇ data flows to a plurality of forwarding nodes (including forwarding node A) and when the plurality of ⁇ data flows through forwarding node A, forwarding node A is based on The classification identification information of the terminal device loaded in the common field in the plurality of ⁇ carried classification labels to select whether the ⁇ data of the terminal device needs to be received. It may be assumed here that the data a is the data sent by the humidity sensor, and the forwarding node A corresponds to the data of the various types of sensors.
  • the a data a sent by the humidity sensor flows through the forwarding node A, and the forwarding node A sorts the terminal device classification information loaded in the common field in the classification label carried by the ⁇ data a (for example, the classification information may be a device type) Confirm ⁇
  • the type of the terminal device corresponding to the data a belongs to the jurisdiction of the forwarding node A, that is, the terminal device classification identification information expressed in the common field in the classification label carried by the plurality of data, and the selection and reception from the plurality of data. It belongs to the data transmitted by the terminal device within the jurisdiction of the forwarding node A.
  • 1, 2, 3, and 4 represent the first byte, the second byte, the third byte, and the fourth byte, respectively, and the classification tag common field consists of a 4-byte.
  • the classification is represented by a combination, wherein the second byte may be a common field, and the common field is used to express the classification identification information of the terminal device.
  • the last byte (fourth byte) of the 4-byte classification combination is represented by an 8-bit (equal to 1 byte) dedicated label.
  • the classification label can be expressed as 4.8 (XXXX), where XXXX can be more fine-grained, specified by an 8-bit special label and a 4-byte classification combination, that is, the data can be flexibly defined by a dedicated label.
  • the 8-bit dedicated tag illustrates how to parse the 4-byte classification combination, including the classification identification information (for example, the terminal device type) in the common field and the 4-byte data structure. This 4.8 mode provides enough information for the forwarding node.
  • the forwarding node can obtain specific information from the 8-bit tag, which is shaped like 1.1.1.1.1.1.1.1 (or 255).
  • This value of 255 means that each of the above 4 bytes is a 1-byte classification subclass. Therefore, 4 bytes can be expressed in the format of A.B.C.D, where each letter occupies 1 byte of space, representing a subclass of a class. Therefore, a complete explanation of this classification structure can be expressed as 4.8.255.A.B.C.D.
  • the continuous progressive classification mode provided for a piece of data is as follows:
  • ABCD is completely different from BCAD. Therefore, the four letters of ABCD have 4*4*4*4 (256 special cases including an empty set) or 255 non-empty combinations, which can be a 4-byte classification group. The way it is combined provides a lot of flexibility. Very short data can express different kinds of information content
  • the forwarding node has locality, although the randomness of the above combination cannot ensure that the data has the uniqueness of the IP address or the MAC identifier, but for the local forwarding node, the terminal is quite obvious.
  • the device classification identification information is sufficient for the forwarding node to identify different terminal devices.
  • the forwarding node selects to receive the data according to the classification identification information of the terminal device expressed in the common field of the classification label carried by the data of the terminal device, and selects to receive The previous judgment process does not need to parse the common fields of the data, and the processing method is flexible and the processing efficiency is high.
  • the forwarding node selects and receives the data according to the classification label carried by the data, and implements forwarding.
  • the node receives the data belonging to its jurisdiction, avoids the need to introduce the addressing mechanism, error checking and retransmission functions of the transmitting and receiving parties, and simplifies the address and reduces the credit caused by the retransmission.
  • the minimization of credit sales is achieved, and the forwarding node automatically classifies the data of the terminal device, and solves the problem that the current data classification method of the terminal device cannot complete the classification of the massive and newly added terminal devices.
  • the method in order to obtain more detailed related information of the terminal device after receiving the data according to the classification identification information in the common field of the data, after the above S102, as shown in FIG.
  • the method also includes:
  • the classification label of the data further includes a private field, where the private field includes at least a private load field, where the private load field is used to carry status information of the terminal device, The status information is used to express the working status of the terminal device and/or the monitoring data value of the terminal device.
  • the private field is located after the common field, referring to FIG. 2-B, 5, 6, and 7 respectively represent the fifth byte, the sixth byte, and the seventh byte;
  • the classification label private field may It is represented by a 3-byte classification combination, where the second byte can be a private load field, and the state information of the terminal device is loaded in the private load field. For example, the status information of an air quality sensor can be measured by it.
  • the current state that is, the air quality sensor is sent from the power-on, and the classification identification information in the repeated transmission common field is expressed as an air quality sensor, and the private load field is loaded as the measured current state of the data until the power is turned off;
  • the corresponding forwarding node receives the air quality sensor according to the common field and performs further operations according to the private field. In this way, the embedded hardware and software design necessary for the terminal device is simplified.
  • a terminal device is associated with a kitchen forwarding node.
  • a location relationship of the terminal device in the private field For example, a terminal device is in the kitchen close to the oven.
  • the data classification method of the terminal device provided by the embodiment of the present invention adds a private field in the terminal device classification label, and the private field carries the status information of the terminal device, so that the forwarding node can use the status information according to the status information. And related information for further operations, flexible processing.
  • the data classification of the terminal device provided in the third embodiment of the present invention is shown in FIG. Flow chart of the method.
  • the data classification method of the terminal device further includes the following steps S301 to S303.
  • Step S301 The type of the terminal device newly added to the Internet of Things is counted, and the number of types of terminal devices currently joining the Internet of Things is obtained based on the type of the original terminal device and the type of the newly added terminal device.
  • the old Internet of Things refers to the Internet of Things without new terminal devices, and the terminal devices in the old Internet of Things are called original terminal devices;
  • the current Internet of Things refers to newly added terminal devices in the old Internet of Things.
  • the Internet of Things the terminal device in the current Internet of Things is called the current terminal device. Since the terminal device is continuously added to the Internet of Things, there is a first category of the terminal devices (original terminal devices) that are not in the old Internet of Things, and the second type of the newly added terminal devices. . Adding the first category to the second category results in the sum of all types of the current terminal device.
  • the statistical inter-turn interval may be set according to actual needs.
  • the current terminal is obtained by counting the second type of the newly added terminal device.
  • the sum of all kinds of devices has updated the sum of the types and types of current terminal devices in the current Internet of Things.
  • Step S302 Calculate, according to the number of categories, the minimum fine-grained size of the required classification label, after classifying the data of the terminal device currently added to the Internet of Things.
  • the fine particle size may be the degree of fineness of the classification label of the ⁇ data.
  • the fine particle size is expressed as 1, 2, 3, 4, 5, 6, and 7 in order from coarse to fine, and a fine particle size of 1 indicates that the classification is relatively coarse (for example, 4 in the first embodiment), and a fine particle size of 5 indicates The classification is relatively fine (for example, 4.8.255. AB in the first embodiment).
  • the sum of the types and types of the current terminal devices has been obtained in step S301, and the minimum fine granularity of the classification tags required to classify the data of the current terminal device is calculated based on the sum of the categories.
  • the minimum fine-grained granularity of the classification label required to classify the data of the current terminal device based on the sum of the categories is 4, and it is obvious that the fine-grained granularity of 5, 6, or 7 satisfies the condition, that is, the pair can be completed.
  • Classification of the current terminal device's data when the fine granularity is 1, 2, or 3, because the fine granularity is too thick relative to the current terminal device type, the data for the current terminal device cannot be completed.
  • the classification, so the minimum fine-grained granularity of the classification label required for the classification of the current terminal device's data is 4.
  • the minimum fine-grained granularity of the classification label required to classify the current terminal device's data is calculated by using the sum of the categories, and the current terminal device type in the Internet of Things is provided. And the smallest fine-grained size that the sum of the categories needs to match.
  • Step S303 Used to update the minimum fine granularity.
  • the fine-grained label of the classified label of the original terminal device is classified to be larger than the minimum fine-grained.
  • the fine-grained label of the classification label that classifies the data of the original terminal device is equal to the minimum fine-grained size
  • the fine-grained label of the classification label classified according to the data of the original terminal device is used;
  • the fine-grained classification label of the device's ⁇ data is smaller than the minimum fine-grained ⁇ , and the minimum fine-grained granularity is updated.
  • the fineness of the classification label of the original terminal device for classifying the data is 3, and the newly added terminal device forms the current Internet of Things (which has the current terminal device), by step S302: based on the current terminal
  • the sum of the types of devices if the calculation of the data of the current terminal device is classified, the minimum fine-grained classification label is 3 (indicating that although the terminal device is newly added, the data of the original terminal device is classified. The fine-grained classification label is still sufficient), then the original terminal device is used.
  • the fine-grained 3 of the classified labels of the classified data is classified into the current terminal device's data; if the calculation of the current terminal device's data is classified, the minimum fine-grained classification label is 4 (indicating Although the fineness of the classification label of the original terminal device is not enough after the new terminal device is added, the minimum fine-grained granularity is updated, that is, the minimum fine-grained data is used for the current terminal device. sort.
  • the data classification method of the terminal device calculates the ⁇ data of the current terminal device by acquiring the sum of all types of the current terminal device and calculating the ⁇ data of the current terminal device based on the sum of all kinds.
  • the minimum fine-grained classification of the required classification labels is updated to the minimum fine-grained, matching the best (minimum) fine-grainedness of the current terminal equipment in the current Internet of Things, making full use of resources and classifying reasonably.
  • FIG. 5 is a flowchart showing a specific implementation of a data classification method for a terminal device according to Embodiment 5 of the present invention. After the S102 in the first embodiment, the data classification method of the terminal device further includes the following steps S401 and S402.
  • S401 The forwarding node performs deduplication processing on the received data to obtain deduplication data.
  • the forwarding node After receiving the data, the forwarding node needs to de-receive the received data, that is, discard some duplicate invalid data, and obtain the deduplication data.
  • deduplication can improve the efficiency of subsequent processing of data.
  • S402 The forwarding node parses the deduplicated data, encapsulates the parsed data and related data, and obtains encapsulated data, where the related data is the terminal device corresponding to the data. Additional scene information.
  • the forwarding node parses the deduplicated data, that is, performs further analysis and mining. For example, the forwarding node parses the deduplication data of the humidity sensing terminal device (monitoring the percentage of moisture content of the surrounding soil), and obtains the percentage of moisture content of the surrounding soil loaded in the private field, and the analyzed data includes the percentage of moisture content of the surrounding soil. Encapsulate the percentage of moisture content of the surrounding soil with relevant data such as additional scene information (such as daytime, location, and weather information) to obtain packaged data.
  • relevant data such as additional scene information (such as daytime, location, and weather information) to obtain packaged data.
  • the forwarding node parses the deduplicated data, encapsulates the parsed data and related data, and obtains encapsulated data, where the related data is corresponding to the data.
  • the additional scene information of the terminal device helps to more accurately locate and identify a certain terminal device.
  • the deduplication of the data by the forwarding node improves the efficiency of the data processing, and further analyzes the deduplication data, and the solution is parsed.
  • the post-data and related data are encapsulated to obtain encapsulated data, which helps to more accurately locate and identify a certain terminal device.
  • FIG. 6 is a flowchart showing a specific implementation of the data classification method of the terminal device provided by the fifth embodiment of the present invention. After the step S402, the data classification method of the terminal device further includes the following step S501.
  • Step S501 The forwarding node forwards the encapsulated data to another forwarding node or forwards to a server.
  • some forwarding nodes are directly connected to the server through the Internet, and the forwarding nodes may directly send the encapsulated data to the server; and another part of the forwarding nodes are not directly connected to the server, and then need to be connected with other connected forwarding nodes.
  • Data interaction (which can be a method of data or a traditional IP protocol) ultimately forwards the encapsulated data to the server. Eventually, big data is formed in the server.
  • the data classification method of the terminal device provided in the embodiment of the present invention can finally merge the data of the terminal device into big data in the server, which is convenient for calling and analyzing.
  • FIG. 7 is a structural block diagram of a data classification apparatus of a terminal device according to Embodiment 6 of the present invention.
  • the data classification device of the terminal device includes: a reading unit 61 and a selection receiving unit 62. among them
  • the specific functions of each module are as follows:
  • the reading unit 61 in the Internet of Things based on the ⁇ protocol, the forwarding node reads the ⁇ data broadcast by the terminal device, and the ⁇ data carries the classification label used for forwarding the node identification ⁇ data.
  • the receiving unit 62 selects the receiving data according to the classification label, and the classification label includes a public field, and the classification identification information of the terminal device is expressed in the public field.
  • the data classification device of the terminal device provided by the embodiment, by the terminal device, broadcasts the data, and the forwarding node selects and receives the data according to the classification label carried by the data, thereby implementing the forwarding node.
  • the minimization of the credit sales is achieved, and the forwarding node automatically classifies the data of the terminal device, and solves the problem that the current data classification method of the terminal device cannot complete the classification of the massive and newly added terminal devices.
  • the data classification device of the terminal device provided in Embodiment 7 of the present invention may adopt the structural block diagram shown in FIG.
  • the data classification device of the terminal device includes: a reading unit 61 and a selection receiving unit 62.
  • the specific functions of each module are as follows:
  • the reading unit 61 in the Internet of Things based on the ⁇ protocol, the forwarding node reads the ⁇ data broadcast by the terminal device, and the ⁇ data carries the classification label used for forwarding the node identification ⁇ data;
  • the receiving unit 62 selects the receiving data according to the classification label, and the classification label includes a public field, and the classification identification information of the terminal device is expressed in the public field.
  • the classification label of the data further includes a private field, the private field includes at least a private load field, and the private load field is used to carry status information of the terminal device, and the status information is used to express the working status of the terminal device and/or the terminal device. Monitor data values.
  • the data classification device of the terminal device provided by the embodiment of the present invention adds a private field in the terminal device classification label, and the private field carries the status information of the terminal device, so that the forwarding node can use the status information according to the status information. And related information for further operations, flexible processing.
  • FIG. 8 shows a structure of a data classification device of a terminal device according to Embodiment 8 of the present invention.
  • the data classification device of the terminal device includes: a reading unit 61 and a selection receiving unit 62.
  • the specific functions of each module are as follows:
  • the reading unit 61 in the Internet of Things based on the ⁇ protocol, the forwarding node reads the ⁇ data broadcast by the terminal device, and the ⁇ data carries the classification label used for forwarding the node identification ⁇ data;
  • the receiving unit 62 selects the receiving data according to the classification label, and the classification label includes a public field, and the classification identification information of the terminal device is expressed in the public field.
  • the method further includes:
  • the statistic unit 71 is configured to collect the type of the newly added terminal device, and obtain the sum of the types of all types of the current terminal device based on the original type of the terminal device and the type of the newly added terminal device;
  • the calculating unit 72 is configured to calculate, according to the number of categories, the ⁇ data of the terminal device currently added to the Internet of Things, and the minimum fine-grained granularity of the required classification label;
  • the updating unit 73 is configured to update the minimum fine granularity.
  • the data classification device of the terminal device obtains the classification of all types of the current terminal device and calculates the classification required for classifying the current terminal device based on the sum of all types.
  • FIG. 9 is a block diagram showing the structure of a data classification apparatus for a terminal device according to Embodiment 9 of the present invention.
  • the data classification device of the terminal device includes: a reading unit 61 and a selection receiving unit 62.
  • the specific functions of each module are as follows:
  • the reading unit 61 in the Internet of Things based on the ⁇ protocol, the forwarding node reads the ⁇ data broadcast by the terminal device, and the ⁇ data carries the classification label used for forwarding the node identification ⁇ data;
  • the receiving unit 62 selects the receiving data according to the classification label, and the classification label includes a public field, and the classification identification information of the terminal device is expressed in the public field.
  • the method further includes:
  • the deduplication unit 81 is configured to perform deduplication processing on the received data by the forwarding node to obtain deduplication data
  • encapsulating unit 82 configured to forward the deduplicated data by the forwarding node, and parse the decomposed data. Data and related data The encapsulation is performed to obtain the encapsulation data, and the related data is a scene f ⁇ information attached to the terminal device corresponding to the ⁇ data.
  • the deduplication of the data by the forwarding node improves the efficiency of the data processing, and further analyzes the deduplicated data, and the parsed data is
  • the related data is encapsulated to obtain packaged data, which helps to more accurately locate and identify a terminal device.
  • FIG. 10 is a structural block diagram of a data classification apparatus of a terminal device according to Embodiment 10 of the present invention.
  • the data classification device of the terminal device includes: a reading unit 61 and a selection receiving unit 62.
  • the specific functions of each module are as follows:
  • the reading unit 61 in the Internet of Things based on the ⁇ protocol, the forwarding node reads the ⁇ data broadcast by the terminal device, and the ⁇ data carries the classification label used for forwarding the node identification ⁇ data;
  • the receiving unit 62 selects the receiving data according to the classification label, and the classification label includes a public field in which the classification identification information of the terminal device is expressed.
  • the method further includes:
  • the deduplication unit 81 is configured to perform deduplication processing on the received data by the forwarding node to obtain deduplication data.
  • the encapsulating unit 82 is configured to parse the deduplicated data, encapsulate the parsed data and the related data, and obtain the encapsulation data, where the related data is a scene attached to the terminal device corresponding to the data. .
  • the forwarding unit 91 forwards the encapsulated data to other forwarding nodes or to the server.
  • the deduplication of the data by the forwarding node improves the efficiency of the data processing, and further analyzes the de-duplicated data, and the parsed data is Encapsulation of relevant data to obtain packaged data helps to more accurately locate and identify a terminal device.
  • the end device's data can be finally merged into big data in the server for easy access and analysis.
  • FIG. 11 shows a node of a data classification device of a terminal device according to Embodiment 11 of the present invention.
  • the data classification device of the terminal device includes: a reading unit 61 and a selection receiving unit 62.
  • the specific functions of each module are as follows:
  • the reading unit 61 in the Internet of Things based on the ⁇ protocol, the forwarding node reads the ⁇ data broadcast by the terminal device, and the ⁇ data carries the classification label used for forwarding the node identification ⁇ data;
  • the receiving unit 62 selects the receiving data according to the classification label, and the classification label includes a public field, and the classification identification information of the terminal device is expressed in the public field.
  • the method further includes:
  • the statistic unit 71 is configured to collect the type of the newly added terminal device, and obtain the sum of the types of all types of the current terminal device based on the original type of the terminal device and the type of the newly added terminal device.
  • the calculating unit 72 is configured to calculate, according to the number of categories, the ⁇ data of the terminal device currently added to the Internet of Things, and the minimum fine-grained granularity of the required classification label;
  • the updating unit 73 is configured to update the minimum fine granularity.
  • the deduplication unit 81 is configured to perform deduplication processing on the received data by the forwarding node to obtain deduplication data.
  • the encapsulating unit 82 is configured to parse the deduplicated data by the forwarding node, encapsulate the parsed data and the related data, and obtain the encapsulation data, where the related data is a scene attached to the terminal device corresponding to the ⁇ data. .
  • the forwarding unit 91 forwards the encapsulated data to other forwarding nodes or to the server.
  • the minimum fine-grained granularity of the classification label required to classify the current terminal device's data is calculated by acquiring the sum of all kinds of current terminal devices and calculating the minimum fine-grained classification of the current terminal device based on the sum of all kinds.
  • the field is judged, if it belongs to its own jurisdiction, it is received, then de-retrieves the de-duplicated data, parses the de-duplicated data, and then encapsulates the relevant data to obtain the encapsulated data, and finally forwards the encapsulated data to other forwarding nodes or forwards
  • the system classification of the data is efficiently performed with minimal credit.
  • the disclosed apparatus and method may be implemented in other ways.
  • the system embodiment described above is merely illustrative.
  • the division of the module or unit is only a logical function division, and the actual implementation may have another division manner, for example, multiple units or components may be used. Combined or can be integrated into another system, or some features can be ignored, or not executed.
  • the coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection through some interface, device or unit, and may be in electrical, mechanical or other form.
  • each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.
  • the above integrated unit can be implemented in the form of hardware or in the 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 standalone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the embodiments of the present invention is essential or the part contributing to the prior art or all of the technical solutions. Or a portion may be embodied in the form of a software product stored in a storage medium, including instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) or a processor (processor) All or part of the steps of the method described in the various embodiments of the embodiments of the invention are performed.
  • a computer device which may be a personal computer, a server, or a network device, etc.
  • processor processor
  • the foregoing storage medium includes: a U disk, a mobile hard disk, a read-only memory (R 0M, Read-Only Memory), a random access memory (RAM), a magnetic disk or an optical disk, and the like, which can store program codes. medium.

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  • Engineering & Computer Science (AREA)
  • Computer Security & Cryptography (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)

Abstract

La présente solution se rapporte au domaine technique de l'Internet des objets, et concerne un procédé et un appareil de classification de données d'un dispositif terminal. Le procédé comprend les étapes suivantes : dans un Internet des objets basé sur un protocole de modulation en fréquence (chirp), un nœud de transmission lit des données chirp diffusées par un dispositif terminal, lesdites données chirp contenant une étiquette de classification utilisée par le nœud de transmission pour identifier les données chirp, l'Internet des objets comprenant au moins un dispositif terminal et un nœud de transmission ; d'après l'étiquette de classification, le nœud de transmission choisit de recevoir les données chirp, l'étiquette de classification comprenant un champ public dans lequel les informations d'identification de classification du dispositif terminal sont exprimées. Dans la présente solution, le dispositif terminal diffuse des données chirp ; d'après l'étiquette de classification contenue dans les données chirp, le nœud de transmission choisit de recevoir lesdites données chirp ; le nœud de transmission reçoit ainsi des données chirp appartenant à sa juridiction, de sorte que le nœud de transmission classifie automatiquement les données chirp du dispositif terminal. L'invention résout le problème lié, dans les procédés de classification de données de dispositifs terminaux actuels, à l'impossibilité de réaliser une classification complète de grands nombres de dispositifs terminaux, ou de dispositifs terminaux nouvellement ajoutés.
PCT/CN2017/093574 2017-06-16 2017-07-19 Procédé et appareil de classification de données de dispositif terminal WO2018227699A1 (fr)

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