CN115967472A - Internet of things terminal object model self-adaptive encoding and decoding method and system - Google Patents

Abstract

The invention discloses an Internet of things terminal object model self-adaptive coding and decoding method, which is applied to an Internet of things terminal and comprises the following steps: service initialization: loading object model definition, and analyzing 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; and (3) uplink data coding: encoding the uplink data; decoding a downlink instruction: and decoding the downlink instruction. According to the self-adaptive coding and decoding method for the Internet of things terminal object model, the object model definition is loaded through the Internet of things terminal to analyze the corresponding list, so that when the object model is changed and updated and data needs to be reported and downlink instructions of a platform are processed and responded, the data can be directly coded and decoded according to the list analyzed through the object model definition, and coding and decoding of a new object model can be realized without additionally compiling a coding and decoding program for generating the Internet of things terminal by a user. The invention also discloses a self-adaptive coding and decoding system of the Internet of things terminal object model.

Description

A method and system for adaptive encoding and decoding of an Internet of Things terminal object model

technical field

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

Background technique

Usually, data is randomly stored in a certain memory address in the device according to the data type, and each data is not related to each other; such data cannot be directly transmitted on the network. When data is transmitted on the network, a set of data needs to be serialized according to specific rules and converted into data packets that can be used. Encoding refers to the process of serializing a set of memory data into data packets that can be transmitted on the network; conversely, the process of deserializing data packets on the network into a set of memory data is called decoding.

For the encoding and decoding of the uplink and downlink data of the Internet of Things, the current common method is to manually write the encoding and decoding program according to the definition of the object model or use a code generation tool to generate the corresponding encoding and decoding program according to the definition of the object model, and combine this part of the encoding and decoding program with the user's Business program integration, compiling and generating a new executable program, and then loading the program on the terminal through a specific burning tool or remote upgrade protocol to adapt to the new object model definition; for commercial terminals, the new codec must be After the program and user program are integrated and compiled into an executable program, the program on the terminal is upgraded through the FOTA (FirmwareOver-The-Air, intelligent aerial firmware upgrade) or SOTA (SoftwareOver-The-Air, intelligent aerial software upgrade) function In order to adapt to the new physical model, if there is no remote upgrade function, it will not be able to adapt to the new physical model.

Contents of the invention

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

In the first aspect, the embodiment of the present invention provides an adaptive encoding and decoding method for an IoT terminal object model, which is applied to an IoT terminal, and includes the following steps: Service initialization: load the object model definition, and parse out the data attributes from the object model definition list, data reporting service list, downlink command service list, and command response service list; uplink data encoding: encode uplink data; downlink command decoding: decode downlink commands.

Its further technical solution is: the uplink data in the uplink data encoding includes reporting data and command response data, and the uplink data encoding specifically includes: reporting data encoding: when reporting data is detected, report according to the data provided by the user Service ID and the data reporting service list obtained by analysis and the data attribute list for data encoding; instruction response data encoding: when the instruction response data is detected, respond to the service ID and the instruction obtained by analysis according to the instruction provided by the user The reply service list and the data attribute list perform data encoding.

Its further technical solution is: the reporting data encoding specifically includes: when the reporting data is detected, searching for the corresponding data reporting service item in the data reporting service list according to the data reporting service ID provided by the user; The data attribute ID of the data attribute of the reporting service item is searched for the corresponding data attribute in the data attribute list one by one; according to the data reporting service ID and the searched data attribute combined with the corresponding data attribute ID, the binary encoding is sequentially performed , to obtain the binary data string of the reported data.

Its further technical solution is: the encoding of the command response data specifically includes: when the command response data is detected, searching for the corresponding command response service item in the command response service list according to the command response service ID provided by the user; The data attribute ID of the data attribute of the command response service item is searched for the corresponding data attribute in the data attribute list one by one; obtain the task ID in the command response data, according to the task ID, command response service ID and the searched data Attributes are combined with corresponding data attribute IDs to perform binary encoding in order to obtain a binary data string of command response data.

Its further technical solution is: the decoding of the downlink command specifically includes: when the downlink command is detected, acquiring a task ID and a downlink command service ID; searching in the downlink command service list according to the obtained downlink command service ID The corresponding downlink command service item; according to the data attribute ID of the data attribute of the downlink command service item found, search for the corresponding data attribute in the data attribute list one by one; for the binary data string of the downlink command according to the searched The data attributes of the data are decoded in combination with the order of the corresponding data attribute IDs to obtain the corresponding specific data content.

In the second aspect, the embodiment of the present invention provides an adaptive encoding and decoding system for an Internet of Things terminal object model, which is applied to an Internet of Things terminal, including a service initialization module, an encoding module, and a decoding module. The service initialization module is used to load the object model Definition, parsing out a list of data attributes, a list of data reporting services, a list of downlink command services and a list of command response services from the definition of the object model; the encoding module is connected to the business initialization module for encoding uplink data; The decoding module is connected with the service initialization module and is used for decoding downlink instructions.

Its further technical solution is: the self-adaptive encoding and decoding system of the Internet of Things terminal object model also includes a storage module, the storage module is connected to the service initialization module, and is used to store the data attribute list, data reporting service list, downlink Command service list and command response service list.

Its further technical solution is: the uplink data includes reported data, the coding module includes a reported data coding unit, and the reported data coding unit is used to report the service ID and analyze the data provided by the user when the reported data is detected. Perform data encoding on the data reporting service list and the data attribute list.

Its further technical solution is: the uplink data includes command response data, the coding module includes a command response data coding unit, and the command response data coding unit is used to respond to the command provided by the user when the command response data is detected. Data encoding is performed on the ID and the command response service list and the data attribute list obtained through parsing.

The beneficial technical effects of the present invention are: an adaptive encoding and decoding method of the Internet of Things terminal object model of the present invention is defined by loading the object model of the Internet of Things terminal to parse out the data attribute list, data reporting service list, downlink command service list and command response Service list, so that when the object model changes and updates and needs to report data, process or respond to the platform's downlink instructions, the data can be directly encoded and decoded according to the corresponding list parsed from the object model definition, without the need for users to manually write the generated object The encoding and decoding program of the networked terminal can realize the encoding and decoding of the new object model, without reloading the process of encoding and decoding program, which improves work efficiency and avoids the problem of online upgrade of the operating equipment due to the change of the object model. An adaptive encoding and decoding system for an Internet of Things terminal object model according to the present invention also has the above functions.

Description of drawings

In order to illustrate the technical solutions of the embodiments of the present invention more clearly, the drawings that need to be used in the description of the embodiments will be briefly introduced below. Obviously, the drawings in the following description are some embodiments of the present invention. Ordinary technicians can also obtain other drawings based on these drawings on the premise of not paying creative work.

FIG. 1 is a schematic flowchart of an adaptive encoding and decoding method for an IoT terminal object model provided by an embodiment of the present invention;

FIG. 2 is a schematic flowchart of an adaptive encoding and decoding method for an IoT terminal object model provided by an embodiment of the present invention;

3 is a schematic diagram of the first sub-flow of the IoT terminal object model adaptive encoding and decoding method provided by the embodiment of the present invention;

FIG. 4 is a schematic diagram of a second sub-flow of the IoT terminal object model adaptive encoding and decoding method provided by an embodiment of the present invention;

5 is a schematic diagram of the third sub-flow of the IoT terminal object model adaptive encoding and decoding method provided by the embodiment of the present invention;

FIG. 6 is a schematic framework diagram of an adaptive encoding and decoding system for an IoT terminal object model provided by an embodiment of the present invention;

FIG. 7 is a schematic diagram of a specific framework of an adaptive encoding and decoding system for an IoT terminal object model provided by an embodiment of the present invention.

Detailed ways

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 of the embodiments of the present invention, but not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

It should be understood that when used in this specification and the appended claims, the terms "comprising" and "comprises" indicate the presence of described features, integers, steps, operations, elements and/or components, but do not exclude one or Presence or addition of multiple other features, integers, steps, operations, elements, components and/or collections thereof.

It should also be understood that the terminology used in the description of the present invention is for the purpose of describing particular embodiments only and is not intended to be limiting of the present invention. As used in this specification and the appended claims, the singular forms "a", "an" and "the" are intended to include plural referents unless the context clearly dictates otherwise.

It should also be further understood that the term "and/or" used in the description 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 .

Please refer to FIG. 1. FIG. 1 is a schematic flowchart of an adaptive encoding and decoding method for an IoT terminal object model provided by an embodiment of the present invention. The adaptive encoding and decoding method for an IoT terminal object model includes the following steps:

Step S11, business initialization: load the object model definition on the IoT terminal, and parse out the data attribute list, data reporting service list, downlink command service list, and command response service list from the thing model definition. Wherein, the data items stored in the data attribute list include data collected by external modules. The IoT terminal can use the TCP protocol and the CTWING platform for data interaction 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 service type identification, corresponding service ID, data length and specific data content. A plurality of data attributes are stored in the data attribute list, 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. A plurality of data reporting service items are stored in the data reporting service list, each data reporting service item includes a data reporting service ID, and the data reporting service item also includes a specific description of its corresponding reporting service, so as to call the 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 command service list stores a plurality of downlink command service items, each downlink command service item includes a downlink command service ID, and the downlink command service item also includes a specific description of its corresponding downlink command service, so as to call the application; The downlink command service item may not include a data attribute, or may include at least one data attribute, and the number of data attributes of the downlink command service item is not greater than the length of the data attribute list. The command response service list stores a plurality of command response service items, each command response service item includes a command response service ID, and the command response service item also includes a specific description of its corresponding command response service, so as to call the application. The command response service item may not include a data attribute, or may include at least one data attribute, and the number of data attributes of the command 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 command service list, and command response service list is used to initialize encoding and decoding, so that subsequent information can be directly obtained according to requirements to perform encoding and decoding operations.

Step S12. Encoding of uplink data: Encoding the uplink data.

Step S13, decoding the downlink instruction: decoding the downlink instruction.

Among them, the data is randomly stored in any memory address in the device according to the data type. Encoding is the process of serializing a set of memory data into a data message that can be transmitted on the network. The process of deserializing data packets into a set of memory data. The IoT terminal object model adaptive encoding and decoding method loads the object model definition on the Internet of Things terminal to parse out the data attribute list, data reporting service list, downlink command service list and command response service list, so as to update when the object model changes. And when it is necessary to report data, process or respond to the downlink commands of the platform, the data can be directly encoded and decoded according to the corresponding list parsed from the object model definition, without the need for the user to manually write and generate an encoding and decoding program for the IoT terminal. Encoding and decoding of the new physical model does not require the process of reloading the codec program, which improves work efficiency and avoids the problem of having to perform online upgrades on operating equipment due to physical model changes.

Referring to FIG. 2, specifically, the uplink data includes reporting data and command response data, and the step S12 includes:

Step S121, coding of reported data: when the reported data is detected, data coding is performed according to the data reporting service ID provided by the user and the data reporting service list and the data attribute list obtained through analysis. Wherein, when performing data reporting coding, the reported data may include business type identification, data reporting service ID, data length and specific data content, and the specific data content may be determined according to the data attribute of the data reporting service item corresponding to the data reporting service ID. The rules are set to be encoded according to the order of the corresponding data attribute IDs. For example, in a service type that needs to report temperature and humidity data, the service type identifier can be represented by 1-byte unsigned integer data, the data reporting service ID can be represented by 2-byte unsigned short integer data, and the data length can be 2-byte unsigned integer data representation, temperature data and humidity data are both represented by float type, and the temperature is in the front, followed by the humidity.

Step S122, command response data encoding: when the command response data is detected, perform data encoding according to the command response service ID provided by the user and the command response service list and the data attribute list obtained through analysis.

In conjunction with FIG. 3, the step S121 specifically includes:

Step S1211 , when the 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.

Step S1212, according to the data attribute ID of the data attribute of the searched data reporting service item, search for the corresponding data attribute in the data attribute list one by one, so as to obtain the corresponding data reporting service according to the detailed information of the searched data attribute The specific description of the data reporting service corresponding to the item.

Step S1213: Binary encoding is performed sequentially according to the data reporting service ID and the searched data attributes and the corresponding data attribute IDs to obtain a binary data string of the reported data.

Wherein, before the step S1211, it may further include: judging whether there is data to be reported, and if so, performing step S1211.

With reference to FIG. 4, the step S122 specifically includes:

Step S1221 , when the 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.

Step S1222, according to the data attribute ID of the data attribute of the searched command response service item, search for the corresponding data attribute in the data attribute list one by one, so as to obtain the corresponding command response service according to the detailed information of the searched data attribute The specific description of the command response service corresponding to the item.

Step S1223: Obtain the task ID in the command response data, and sequentially perform binary encoding according to the obtained task ID, command response service ID and searched data attributes combined with the corresponding data attribute ID, to obtain a binary data string of the command response data. Wherein, the task refers to the task corresponding to the instruction.

With reference to FIG. 5, specifically, the step S13 includes:

Step S131 , when the downlink command is detected, acquire a task ID and a downlink command service ID. Wherein, the downlink instruction refers to the instruction that needs to be issued by the platform, and the task refers to the task corresponding to the instruction.

Step S132: Search for a corresponding downlink command service item in the downlink command service list according to the obtained downlink command service ID.

Step S133, according to the data attribute ID of the data attribute of the searched downlink command service item, search for the corresponding data attribute in the data attribute list one by one, so as to obtain the corresponding downlink command service according to the detailed information of the searched data attribute The specific description of the downlink command service corresponding to the item.

Step S134: 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.

Wherein, before the step S131, it may further include: judging whether there is a downlink instruction that needs to be issued by the platform, and if so, execute step S131. Wherein, when decoding the downlink command, the data message is first pre-decoded to obtain a 1-byte service type identifier, and when the information indicated by the data content of the obtained service type identifier is judged that the data content is not a downlink instruction , the data is directly discarded; otherwise, the data content is a downlink instruction, and step S131 is executed.

Please refer to FIG. 6. FIG. 6 is a schematic framework diagram of an IoT terminal object model adaptive encoding and decoding system provided by an embodiment of the present invention. The IoT terminal object model adaptive encoding and decoding system is applied to an IoT terminal and can execute the above-mentioned The 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, and the service initialization module 11 is used for loading object model definition , parse out the data attribute list, data reporting service list, downlink command service list and command response service list from the object model definition, so that the encoding module 12 and decoding module 13 can be reinitialized by the business initialization module 11; the encoding module 12 and The service initialization module is connected to encode uplink data; the decoding module 13 is connected to the service initialization module and is used to decode downlink instructions.

Among them, the Internet of Things terminal object model adaptive encoding and decoding system 10 sets the service initialization module 11 to load the object model definition on the Internet of Things terminal to parse out the data attribute list, data reporting service list, downlink command service list and command response service List, cooperate with the encoding module 12 and decoding module 13 to reinitialize the encoding module 12 and decoding module 13, when the object model changes and updates and needs to report data, process or respond to the downlink command of the platform, it can be analyzed according to the object model definition The generated corresponding list directly encodes and decodes the data, without the need for the user to manually write and generate the codec program for the IoT terminal to realize the codec for the new object model, without reloading the process of the codec program, improving work efficiency, and Avoid the problem of having to perform online upgrades on operating equipment due to physical model changes.

Referring to FIG. 7, specifically, in this embodiment, the IoT terminal object model adaptive encoding and decoding system 10 further includes a storage module 14, which is connected to the service initialization module 11 for storing the The above data attribute list, data reporting service list, downlink command service list and command response service list, so that the subsequent encoding module 12 and decoding module 13 can perform search operations.

Specifically, the uplink data includes reported data, and the coding module 12 includes a reported data coding unit 121, and the reported data coding unit 121 is configured to report the service ID and analyze the data provided by the user when the reported data is detected. Perform data encoding on the data reporting service list and the data attribute list.

Specifically, the uplink data includes command response data, and the coding module 12 includes a command response data coding unit 122, and the command response data coding unit 122 is configured to respond to the command response service provided by the user when the command response data is detected. Data encoding is performed on the ID and the command response service list and the data attribute list obtained through parsing.

To sum up, an adaptive encoding and decoding method for an Internet of Things terminal object model in the present invention is defined by an object model loaded on an Internet of Things terminal to parse out a data attribute list, a data reporting service list, a downlink command service list, and a command response service list, When the object model changes and updates and needs to report data, process or respond to the downlink commands of the platform, the data can be directly encoded and decoded according to the corresponding list parsed from the object model definition, without the need for users to manually write and generate IoT terminal The codec program can realize the encoding and decoding of the new object model, without reloading the process of the codec program, improving work efficiency, and avoiding the problem of online upgrade of the operating equipment due to the change of the object model. An adaptive encoding and decoding system for an Internet of Things terminal object model according to the present invention also has the above functions.

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 familiar with the technical field can easily think of various equivalents within the technical scope disclosed in the present invention. Modifications or replacements shall all fall within the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.

Claims (9)

1. An adaptive encoding and decoding method for an Internet of Things terminal object model, characterized in that it is applied to an Internet of Things terminal, and the adaptive encoding and decoding method for an Internet of Things terminal object model comprises: Business initialization: load the object model definition, and parse out the data attribute list, data reporting service list, downlink command service list and command response service list from the thing model definition; Uplink data encoding: encode uplink data; Downlink instruction decoding: decode the downlink instruction. 2. The IoT terminal object model adaptive encoding and decoding method according to claim 1, wherein the uplink data in the uplink data encoding includes reporting data and command response data, and the uplink data encoding specifically includes : Reporting data encoding: when the reporting data is detected, perform data encoding according to the data reporting service ID provided by the user and the data reporting service list and the data attribute list obtained through analysis; 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 and the command response service list and the data attribute list obtained through analysis. 3. The IoT terminal object model adaptive encoding and decoding method according to claim 2, wherein the reporting data encoding specifically comprises: When the 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; Search for corresponding data attributes in the data attribute list one by one according to the data attribute IDs of the data attributes of the searched data reporting service items; Binary coding is performed sequentially according to the data reporting service ID and the searched data attribute and the corresponding data attribute ID to obtain a binary data string of the reported data. 4. The IoT terminal object model adaptive encoding and decoding method according to claim 2, wherein the instruction response data encoding specifically includes: When the 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; According to the data attribute ID of the data attribute of the searched instruction response service item, search for the corresponding data attribute in the data attribute list one by one; Obtain the task ID in the command response data, perform binary encoding sequentially according to the task ID, command response service ID, and searched data attributes combined with the corresponding data attribute ID, and obtain the binary data string of the command response data. 5. The IoT terminal object model adaptive encoding and decoding method according to claim 1, wherein the decoding of the downlink instruction specifically comprises: When the downlink command is detected, obtain a task ID and a downlink command service ID; Searching for a corresponding downlink command service item in the downlink command service list according to the obtained downlink command service ID; Searching for 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 service items; The binary data string of the downlink instruction is decoded according to the sequence of the searched data attribute and the corresponding data attribute ID, to obtain the corresponding specific data content. 6. An adaptive encoding and decoding system for an Internet of Things terminal object model, characterized in that it is applied to an Internet of Things terminal, including: The business initialization module is used to load the object model definition, and parse out the data attribute list, data reporting service list, downlink command service list and command response service list from the thing model definition; An encoding module, connected to the service initialization module, for encoding uplink data; The decoding module is connected with the service initialization module and is used for decoding downlink instructions. 7. The Internet of Things terminal object model adaptive encoding and decoding system according to claim 6, characterized in that, the Internet of Things terminal object model adaptive encoding and decoding system also includes a storage module, and the storage module and the service initialization The modules are connected and used to store the data attribute list, data reporting service list, downlink command service list and command response service list. 8. The Internet of Things terminal object model adaptive encoding and decoding system according to claim 7, wherein the uplink data includes reporting data, and the encoding module includes a reporting data encoding unit, and the reporting data encoding unit is used for When the reported data is detected, data encoding is performed according to the data reporting service ID provided by the user and the data reporting service list and the data attribute list obtained through analysis. 9. The Internet of Things terminal object model adaptive encoding and decoding system according to claim 7, wherein the uplink data includes command response data, and the encoding module includes a command response data encoding unit, and the command response data encoding The unit is configured to perform data encoding according to the command response service ID provided by the user and the command response service list and the data attribute list obtained by parsing when the command response data is detected.

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