An Adaptive Encoding and Decoding Method and System for the Thing Model of Internet of Things Terminals

Abstract

The present invention discloses an adaptive encoding and decoding method for the object model of an Internet of Things (IoT) terminal, which is applied to the IoT terminal and includes: service initialization: loading the object model definition, and parsing out the data attribute list, data reporting service list, downlink instruction service list, and instruction response service list from the object model definition; uplink data encoding: encoding the uplink data; downlink instruction decoding: decoding the downlink instruction. The adaptive encoding and decoding method for the object model of an IoT terminal according to the present invention parses out the corresponding list by loading the object model definition in the IoT terminal, so that when the object model changes and updates and data needs to be reported and the downlink instructions from the platform need to be processed and responded to, the data can be directly encoded and decoded according to the list parsed out from the object model definition, and there is no need for the user to separately write and generate the encoding and decoding program of the IoT terminal to implement the encoding and decoding of the new object model. The present invention also discloses an adaptive encoding and decoding system for the object model of an IoT terminal.

Description

Technical Field

[0001] The present invention relates to the technical field of the Internet of Things, and in particular to an adaptive encoding and decoding method and system for the object model of an Internet of Things terminal. Background Art

[0002] Generally, data is randomly stored at a certain memory address in a device according to the data type, and each piece of data is not related to each other; such data cannot be directly transmitted over the network. When data is transmitted over the network, a group of data needs to be serialized according to specific rules and converted into a data packet that can be transmitted. Encoding refers to the process of converting a group of memory data into a data packet that can be transmitted over the network through serialization; conversely, the process of converting a data packet on the network into a group of memory data through deserialization is called decoding.

[0003] For the encoding and decoding of the uplink and downlink data of the Internet of Things, the currently commonly used method is to manually write an encoding and decoding program according to the object model definition or use a code generation tool to generate a corresponding encoding and decoding program according to the object model definition, integrate this part of the encoding and decoding program with the user's business program, compile and generate a new executable program, and then load the program onto the terminal through a specific burning tool or remote upgrade protocol to adapt to the new object model definition; for terminals that have been commercialized, after integrating and compiling the new encoding and decoding program and the user program into an executable program, the program on the terminal needs to be upgraded through the FOTA (Firmware Over-The-Air) or SOTA (Software Over-The-Air) function to adapt to the new object model. If there is no remote upgrade function, it is impossible to adapt to the new object model. Summary of the Invention

[0004] The technical problem to be solved by the present invention is to provide an adaptive encoding and decoding method and system for the object model of an Internet of Things terminal, so as to realize the encoding and decoding of a new object model without the user manually writing and generating an encoding and decoding program on the terminal side.

[0005] In a first aspect, an embodiment of the present invention provides an adaptive encoding and decoding method for the object model of an Internet of Things terminal, which is applied to an Internet of Things terminal and includes the following steps: Service initialization: loading the object model definition, and parsing out a data attribute list, a data reporting service list, a downlink instruction service list, and an instruction response service list from the object model definition; Uplink data encoding: encoding the uplink data; Downlink instruction decoding: decoding the downlink instruction.

[0006] Its further technical solution is as follows: The uplink data in the uplink data encoding includes reported data and command response data. The uplink data encoding specifically includes: Reported data encoding: When reported data is detected, data encoding is performed according to the data reporting service ID provided by the user, the obtained data reporting service list, and the data attribute list; Command response data encoding: When command response data is detected, data encoding is performed according to the command response service ID provided by the user, the obtained command response service list, and the data attribute list.

[0007] Its further technical solution is as follows: The reported data encoding specifically includes: When reported data is detected, search for the corresponding data reporting service item in the data reporting service list according to the data reporting service ID provided by the user; Sequentially search for the corresponding data attribute in the data attribute list according to the data attribute ID of the data attribute of the searched data reporting service item; Binary encoding is sequentially performed according to the data reporting service ID, the searched data attribute, and the corresponding data attribute ID to obtain the binary data string of the reported data.

[0008] Its further technical solution is as follows: The command response data encoding specifically includes: When command response data is detected, search for the corresponding command response service item in the command response service list according to the command response service ID provided by the user; Sequentially search for the corresponding data attribute in the data attribute list according to the data attribute ID of the data attribute of the searched command response service item; Obtain the task ID in the command response data, and binary encoding is sequentially performed according to the task ID, the command response service ID, the searched data attribute, and the corresponding data attribute ID to obtain the binary data string of the command response data.

[0009] Its further technical solution is as follows: The downlink command decoding specifically includes: When the downlink command is detected, obtain the task ID and the downlink command service ID; Search for the corresponding downlink command service item in the downlink command service list according to the obtained downlink command service ID; Sequentially search for the corresponding data attribute in the data attribute list according to the data attribute ID of the data attribute of the searched downlink command service item; Decode the binary data string of the downlink command according to the order of the searched data attribute and the corresponding data attribute ID to obtain the corresponding specific data content.

[0010] Second aspect, an embodiment of the present invention provides an IoT terminal object model adaptive encoding and decoding system, which is applied to an IoT terminal and includes a service initialization module, an encoding module, and a decoding module. The service initialization module is used to load the object model definition and parse out a data attribute list, a data reporting service list, a downlink instruction service list, and an instruction response service list from the object model definition. The encoding module is connected to the service initialization module and is used to encode the uplink data. The decoding module is connected to the service initialization module and is used to decode the downlink instructions.

[0011] A further technical solution thereof is that the IoT terminal object model adaptive encoding and decoding system further includes a storage module, and the storage module is connected to the service initialization module and is used to store the data attribute list, the data reporting service list, the downlink instruction service list, and the instruction response service list.

[0012] A further technical solution thereof is that the uplink data includes reporting data, and the encoding module includes a reporting data encoding unit. The reporting data encoding unit is used to perform data encoding according to the data reporting service ID provided by the user, the parsed data reporting service list, and the data attribute list when detecting the reporting data.

[0013] A further technical solution thereof is that the uplink data includes instruction response data, and the encoding module includes an instruction response data encoding unit. The instruction response data encoding unit is used to perform data encoding according to the instruction response service ID provided by the user, the parsed instruction response service list, and the data attribute list when detecting the instruction response data.

[0014] The beneficial technical effect of the present invention is that an IoT terminal object model adaptive encoding and decoding method of the present invention parses out a data attribute list, a data reporting service list, a downlink instruction service list, and an instruction response service list by loading the object model definition in the IoT terminal. When the object model changes and updates and it is necessary to report data, process or respond to the downlink instructions of the platform, the data can be directly encoded and decoded according to the corresponding list parsed from the object model definition, without the user having to manually write and generate the encoding and decoding program of the IoT terminal to implement the encoding and decoding of the new object model, and there is no need to reload the encoding and decoding program, which improves work efficiency and avoids the problem of having to perform an online upgrade on the operating device due to the change of the object model. An IoT terminal object model adaptive encoding and decoding system of the present invention also has the above functions. Description of the Drawings

[0015] To more clearly illustrate the technical solutions of the embodiments of the present invention, the following will briefly introduce the accompanying drawings required for the description of the embodiments. Obviously, the accompanying drawings in the following description are some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other accompanying drawings can also be obtained based on these drawings.

[0016] Figure 1 It is a schematic flow chart of the adaptive encoding and decoding method for the physical model of the Internet of Things terminal provided by the embodiment of the present invention;

[0017] Figure 2 It is a specific schematic flow chart of the adaptive encoding and decoding method for the physical model of the Internet of Things terminal provided by the embodiment of the present invention;

[0018] Figure 3 It is a first sub - flow schematic diagram of the adaptive encoding and decoding method for the physical model of the Internet of Things terminal provided by the embodiment of the present invention;

[0019] Figure 4 It is a second sub - flow schematic diagram of the adaptive encoding and decoding method for the physical model of the Internet of Things terminal provided by the embodiment of the present invention;

[0020] Figure 5 It is a third sub - flow schematic diagram of the adaptive encoding and decoding method for the physical model of the Internet of Things terminal provided by the embodiment of the present invention;

[0021] Figure 6 It is a framework schematic diagram of the adaptive encoding and decoding system for the physical model of the Internet of Things terminal provided by the embodiment of the present invention;

[0022] Figure 7 It is a specific framework schematic diagram of the adaptive encoding and decoding system for the physical model of the Internet of Things terminal provided by the embodiment of the present invention. Detailed implementation manners

[0023] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts fall within the scope of protection of the present invention.

[0024] It should be understood that when used in this specification and the appended claims, the terms "comprising" and "including" indicate the presence of the described features, wholes, steps, operations, elements, and / or components, but do not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components, and / or their combinations.

[0025] It should also be understood that the terms used in the specification of the present invention are merely for the purpose of describing specific embodiments and are not intended to limit the present invention. As used in the specification of the present invention and the appended claims, unless the context clearly indicates otherwise, the singular forms "a", "an" and "the" are intended to include the plural forms.

[0026] It should be further understood that the term "and / or" used in the specification of the present invention and the appended claims refers to any combination and all possible combinations of one or more of the associated listed items, and includes these combinations.

[0027] Please refer to Figure 1 , Figure 1 which is a schematic flowchart of the method for adaptive encoding and decoding of the Internet of Things terminal object model provided by the embodiment of the present invention. The method for adaptive encoding and decoding of the Internet of Things terminal object model includes the following steps:

[0028] Step S11. Service initialization: Load the definition of the object model on the Internet of Things terminal, and parse out the data attribute list, data reporting service list, downlink instruction service list, and instruction response service list from the object model definition. Among them, the data items stored in the data attribute list include the data collected by external modules. The Internet of Things terminal can use the TCP protocol to interact with the CTWING platform to obtain a new object model definition, so that when the object model definition is updated and changed, the object model definition can be downloaded for subsequent operations. The object model definition refers to the object model description file. The data message may include a service type identifier, the corresponding service ID, the data length, and the specific data content. The data attribute list stores multiple data attributes, and each data attribute includes information such as a data attribute ID, a data type, a data length, a data upper limit, and a data lower limit. The data reporting service list stores multiple data reporting service items, and each data reporting service item includes a data reporting service ID. The data reporting service item also includes a specific description of the corresponding reporting service for easy retrieval and application. The data reporting service item includes at least one data attribute, and the number of data attributes of the data reporting service item is not greater than the length of the data attribute list. The downlink instruction service list stores multiple downlink instruction service items, and each downlink instruction service item includes a downlink instruction service ID. The downlink instruction service item also includes a specific description of the corresponding downlink instruction service for easy retrieval and application. The downlink instruction service item may not include data attributes or may include at least one data attribute, and the number of data attributes of the downlink instruction service item is not greater than the length of the data attribute list. The instruction response service list stores multiple instruction response service items, and each instruction response service item includes an instruction response service ID. The instruction response service item also includes a specific description of the corresponding instruction response service for easy retrieval and application. The instruction response service item may not include data attributes or may include at least one data attribute, and the number of data attributes of the instruction response service item is not greater than the length of the data attribute list. The information stored in the data attribute list, data reporting service list, downlink instruction service list, and instruction response service list is used for initializing encoding and decoding, so that information can be directly obtained according to requirements for encoding and decoding operations in the future.

[0029] Step S12. Uplink data encoding: Encode the uplink data.

[0030] Step S13. Downlink instruction decoding: Decode the downlink instruction.

[0031] Among them, data is randomly stored one by one in any memory address in the device according to the data type. Encoding is the process of converting a group of memory data into a data packet that can be transmitted over the network through serialization operations, while decoding is the process of converting the data packet on the network into a group of memory data through deserialization operations. The adaptive encoding and decoding method for the Internet of Things (IoT) terminal object model parses out a data attribute list, a data reporting service list, a downlink instruction service list, and an instruction response service list by loading the object model definition on the IoT terminal. When the object model changes and updates and data needs to be reported, or when processing or responding to downlink instructions from the platform, the data can be directly encoded and decoded according to the corresponding list parsed from the object model definition, without the user having to manually write and generate the encoding and decoding program for the IoT terminal to achieve encoding and decoding of the new object model, and without the process of reloading the encoding and decoding program, improving work efficiency and avoiding the problem of having to perform an online upgrade on the operating device due to object model changes.

[0032] Combined with Figure 2 , specifically, the uplink data includes reporting data and instruction response data, and the step S12 includes:

[0033] Step S121, encoding of reporting data: When reporting data is detected, data encoding is performed according to the data reporting service ID provided by the user and the parsed data reporting service list and data attribute list. Among them, when performing data reporting encoding, the reporting data may include a service type identifier, a data reporting service ID, a data length, and specific data content. The specific data content can be encoded according to the preset rules of the data attributes of the data reporting service item corresponding to the data reporting service ID in the order of the corresponding data attribute IDs. For example, in the service type that needs to report temperature and humidity data, the service type identifier can be represented by an unsigned integer data of 1 byte, the data reporting service ID can be represented by an unsigned short integer data of 2 bytes, the data length can be represented by an unsigned integer data of 2 bytes, and both the temperature data and the humidity data are represented by the float type, with the temperature first and the humidity second.

[0034] Step S122, encoding of instruction response data: When instruction response data is detected, data encoding is performed according to the instruction response service ID provided by the user and the parsed instruction response service list and data attribute list.

[0035] Combined with Figure 3 , the step S121 specifically includes:

[0036] Step S1211, when reporting data is detected, search for the corresponding data reporting service item in the data reporting service list according to the data reporting service ID provided by the user.

[0037] Step S1212: Search for the corresponding data attributes in the data attribute list one by one according to the data attribute IDs of the data attributes of the data reporting service items found, so as to obtain the specific description of the data reporting service corresponding to the corresponding data reporting service item according to the detailed information of the data attributes found.

[0038] Step S1213: Perform binary encoding in sequence according to the data reporting service ID and the data attributes found in combination with the corresponding data attribute IDs to obtain the binary data string of the reported data.

[0039] Wherein, before step S1211, it may further include: judging whether there is reported data, and if so, executing step S1211.

[0040] Combined with Figure 4 , step S122 specifically includes:

[0041] Step S1221: When detecting the instruction response data, search for the corresponding instruction response service item in the instruction response service list according to the instruction response service ID provided by the user.

[0042] Step S1222: Search for the corresponding data attributes in the data attribute list one by one according to the data attribute IDs of the data attributes of the instruction response service item found, so as to obtain the specific description of the instruction response service corresponding to the corresponding instruction response service item according to the detailed information of the data attributes found.

[0043] Step S1223: Obtain the task ID in the instruction response data, and perform binary encoding in sequence according to the obtained task ID, instruction response service ID and the data attributes found in combination with the corresponding data attribute IDs to obtain the binary data string of the instruction response data. Wherein, the task refers to the task corresponding to the instruction.

[0044] Combined with Figure 5 , specifically, step S13 includes:

[0045] Step S131: When detecting the downlink instruction, obtain the task ID and the downlink instruction service ID. Wherein, the downlink instruction refers to the instruction that needs to be sent by the platform, and the task refers to the task corresponding to the instruction.

[0046] Step S132: Search for the corresponding downlink instruction service item in the downlink instruction service list according to the obtained downlink instruction service ID.

[0047] Step S133: Search for the corresponding data attributes in the data attribute list one by one according to the data attribute IDs of the data attributes of the searched downlink instruction service items, so as to obtain the specific description of the downlink instruction service corresponding to the corresponding downlink instruction service item according to the detailed information of the searched data attributes.

[0048] Step S134: Decode the binary data string of the downlink instruction according to the searched data attributes in combination with the order of the corresponding data attribute IDs to obtain the corresponding specific data content.

[0049] Among them, before step S131, it may further include: determining whether there is a downlink instruction that needs to be sent by the platform. If so, execute step S131. Among them, when decoding the downlink instruction, first pre-decode the data packet to obtain a 1-byte service type identifier. When it is determined from the information indicated by the data content of the obtained service type identifier that the data content is not a downlink instruction, directly discard the data; otherwise, the data content is a downlink instruction, and execute step S131.

[0050] Please refer to Figure 6 , Figure 6 which is a schematic framework diagram of the Internet of Things terminal object model adaptive encoding and decoding system provided by an embodiment of the present invention. The Internet of Things terminal object model adaptive encoding and decoding system is applied to an Internet of Things terminal and can execute the above-mentioned Internet of Things terminal object model adaptive encoding and decoding method. The Internet of Things terminal object model adaptive encoding and decoding system 10 includes a service initialization module 11, an encoding module 12, and a decoding module 13. The service initialization module 11 is used to load the object model definition, parse out the data attribute list, data reporting service list, downlink instruction service list, and instruction response service list from the object model definition, so as to re-initialize the encoding module 12 and the decoding module 13 through the service initialization module 11; the encoding module 12 is connected to the service initialization module and is used to encode the uplink data; the decoding module 13 is connected to the service initialization module and is used to decode the downlink instruction.

[0051] Among them, the IoT terminal object model adaptive encoding and decoding system 10 initializes the service by setting the service initialization module 11 to load the object model definition on the IoT terminal to parse out the data attribute list, data reporting service list, downlink instruction service list, and instruction response service list, and cooperates with the encoding module 12 and the decoding module 13 to re-initialize the encoding module 12 and the decoding module 13. When the object model changes and updates and data needs to be reported, the downlink instructions from the platform are processed or responded, the data can be directly encoded and decoded according to the corresponding list parsed from the object model definition, without the user manually writing and generating the encoding and decoding program for the IoT terminal, and the process of reloading the encoding and decoding program is not required, which improves work efficiency and avoids the problem of having to perform online upgrades on operating devices due to object model changes.

[0052] Combined with Figure 7 , specifically, in this embodiment, the IoT terminal object model adaptive encoding and decoding system 10 further includes a storage module 14, and the storage module 14 is connected to the service initialization module 11 for storing the data attribute list, data reporting service list, downlink instruction service list, and instruction response service list for subsequent search operations by the encoding module 12 and the decoding module 13.

[0053] Specifically, the uplink data includes reporting data, and the encoding module 12 includes a reporting data encoding unit 121, and the reporting data encoding unit 121 is used to perform data encoding according to the data reporting service ID provided by the user and the parsed data reporting service list and data attribute list when detecting reporting data.

[0054] Specifically, the uplink data includes instruction response data, and the encoding module 12 includes an instruction response data encoding unit 122, and the instruction response data encoding unit 122 is used to perform data encoding according to the instruction response service ID provided by the user and the parsed instruction response service list and data attribute list when detecting instruction response data.

[0055] In summary, in the method for adaptive encoding and decoding of the physical model of an Internet of Things terminal according to the present invention, by loading the physical model definition on the Internet of Things terminal, a list of data attributes, a list of data reporting services, a list of downlink instruction services, and a list of instruction response services are parsed. When the physical model changes and updates and data needs to be reported, or when processing or responding to downlink instructions from the platform, the data can be directly encoded and decoded according to the corresponding list parsed from the physical model definition. There is no need for the user to manually write and generate an encoding and decoding program for the Internet of Things terminal to achieve encoding and decoding of the new physical model, and there is no need to reload the encoding and decoding program, which improves work efficiency and avoids the problem of having to perform an online upgrade on operating devices due to changes in the physical model. The system for adaptive encoding and decoding of the physical model of an Internet of Things terminal according to the present invention also has the above functions.

[0056] The above is only a specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art within the technical scope disclosed by the present invention can easily think of various equivalent modifications or substitutions, and these modifications or substitutions should all be covered within the protection scope of the present invention. Therefore, the protection scope of the present invention should be subject to the protection scope of the claims.

Claims

1. An adaptive encoding and decoding method for the physical model of an Internet of Things terminal, characterized in that Applied to an Internet of Things (IoT) terminal, the method for adaptive encoding and decoding of the IoT terminal's object model includes: Service initialization: Load the object model definition, and parse out the data attribute list, data reporting service list, downlink instruction service list, and instruction response service list from the object model definition; multiple data attributes are stored in the data attribute list, and each data attribute includes a data attribute ID, data type, data length, data upper limit, and data lower limit; multiple data reporting service items are stored in the data reporting service list, and each data reporting service item includes a data reporting service ID. The data reporting service item also includes a specific description of its corresponding reporting service for easy application invocation; multiple downlink instruction service items are stored in the downlink instruction service list, and each downlink instruction service item includes a downlink instruction service ID. The downlink instruction service item also includes a specific description of its corresponding downlink instruction service for easy application invocation; multiple instruction response service items are stored in the instruction response service list, and each instruction response service item includes an instruction response service ID. The instruction response service item also includes a specific description of its corresponding instruction response service for easy application invocation; Uplink data encoding: Encode the uplink data; Downlink instruction decoding: Decode the downlink instruction; The uplink data in the uplink data encoding includes reporting data and instruction response data, and the uplink data encoding specifically includes: Reporting data encoding: When reporting data is detected, perform data encoding according to the data reporting service ID provided by the user, the parsed data reporting service list, and the data attribute list; Instruction response data encoding: When instruction response data is detected, perform data encoding according to the instruction response service ID provided by the user, the parsed instruction response service list, and the data attribute list; The downlink instruction decoding specifically includes: When the downlink instruction is detected, obtain the task ID and the downlink instruction service ID; Search for the corresponding downlink instruction service item in the downlink instruction service list according to the obtained downlink instruction service ID; Search for the corresponding data attribute in the data attribute list one by one according to the data attribute ID of the data attribute of the searched downlink instruction service item; Decode the binary data string of the downlink instruction according to the searched data attribute in combination with the order of the corresponding data attribute ID to obtain the corresponding specific data content.

2. The method for adaptive encoding and decoding of the Internet of Things terminal object model according to claim 1, characterized in that, The reporting data encoding specifically includes: When reporting data is detected, search for the corresponding data reporting service item in the data reporting service list according to the data reporting service ID provided by the user; Search for the corresponding data attribute in the data attribute list one by one according to the data attribute ID of the data attribute of the searched data reporting service item; Perform binary encoding in sequence according to the data reporting service ID and the searched data attribute in combination with the corresponding data attribute ID to obtain the binary data string of the reporting data.

3. The Internet of Things terminal object model adaptive encoding and decoding method according to claim 1, characterized in that The instruction response data encoding specifically includes: When instruction response data is detected, search for the corresponding instruction response service item in the instruction response service list according to the instruction response service ID provided by the user; Search for the corresponding data attribute in the data attribute list one by one in sequence according to the data attribute ID of the data attribute of the searched instruction response service item; Obtain the task ID in the instruction response data, and perform binary encoding in sequence according to the task ID, instruction response service ID, and the searched data attribute combined with the corresponding data attribute ID to obtain the binary data string of the instruction response data.

4. An Internet of Things terminal object model adaptive encoding and decoding system, characterized in that Applied to an Internet of Things terminal, including: A service initialization module, used to load the device model definition, and parse out the data attribute list, data reporting service list, downlink instruction service list, and instruction response service list from the device model definition; multiple data attributes are stored in the data attribute list, and each data attribute includes a data attribute ID, data type, data length, data upper limit, and data lower limit; multiple data reporting service items are stored in the data reporting service list, and each data reporting service item includes a data reporting service ID. The data reporting service item also includes a specific description of its corresponding reporting service for easy retrieval and application; multiple downlink instruction service items are stored in the downlink instruction service list, and each downlink instruction service item includes a downlink instruction service ID. The downlink instruction service item also includes a specific description of its corresponding downlink instruction service for easy retrieval and application; multiple instruction response service items are stored in the instruction response service list, and each instruction response service item includes an instruction response service ID. The instruction response service item also includes a specific description of its corresponding instruction response service for easy retrieval and application; An encoding module, connected to the service initialization module, for encoding uplink data; the uplink data includes reporting data, and the encoding module includes a reporting data encoding unit, which is used to perform data encoding according to the data reporting service ID provided by the user and the parsed data reporting service list and data attribute list when reporting data is detected; the uplink data includes instruction response data, and the encoding module includes an instruction response data encoding unit, which is used to perform data encoding according to the instruction response service ID provided by the user and the parsed instruction response service list and data attribute list when instruction response data is detected; A decoding module, connected to the service initialization module, for decoding downlink instructions.

5. The IoT terminal object model adaptive encoding and decoding system according to claim 4, characterized in that, The Internet of Things terminal device model adaptive encoding and decoding system further includes a storage module, which is connected to the service initialization module and is used to store the data attribute list, data reporting service list, downlink instruction service list, and instruction response service list.

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