CN115967472A - Internet of things terminal object model self-adaptive encoding and decoding method and system - Google Patents
Internet of things terminal object model self-adaptive encoding and decoding method and system Download PDFInfo
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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
Technical Field
The invention relates to the technical field of Internet of things, in particular to a self-adaptive coding and decoding method and system for a terminal object model of the Internet of things.
Background
Generally, data is randomly stored in a certain memory address in equipment according to data types, and the data are not related to each other; such data cannot be transmitted directly over the network. When data is transmitted on a network, a group of data needs to be serialized according to a specific rule and converted into a data message capable of being used for data. The coding refers to a process of converting a group of memory data into data messages which can be transmitted on a network through serialization operation; conversely, the process of converting a data packet on the network into a set of memory data through deserialization is called decoding.
For the coding and decoding of the uplink and downlink data of the internet of things, the currently common method is to manually write a coding and decoding program according to the definition of an object model or generate a corresponding coding and decoding program by using a code generation tool according to the definition of the object model, integrate the part of the coding and decoding program with a service program of a user, compile and generate a new executable program, and load the program onto a terminal through a specific burning tool or a remote upgrading protocol so as to adapt to the definition of the new object model; for a commercial terminal, after a new codec program and a user program are integrated and compiled into an executable program, the program on The terminal is upgraded to adapt to a new object model through The FOTA (firmware over-The-Air) or SOTA (software over-The-Air) function, and if The remote upgrade function does not exist, the program cannot adapt to The new object model.
Disclosure of Invention
The technical problem to be solved by the invention is to provide an Internet of things terminal object model self-adaptive coding and decoding method and system, so that coding and decoding of a new object model can be realized without a user writing and generating a terminal-side coding and decoding program manually.
In a first aspect, an embodiment of the present invention provides an internet of things terminal object model adaptive encoding and decoding method, applied to an internet of things terminal, including 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.
The further technical scheme is as follows: the uplink data in the uplink data codes comprise report data and instruction response data, and the uplink data codes specifically comprise: reporting data coding: when the reported data is detected, carrying out data coding according to a data reporting service ID provided by a user, the data reporting service list obtained by analysis and the data attribute list; encoding command response data: and when the instruction response data is detected, carrying out data coding according to the instruction response service ID provided by the user, the instruction response service list obtained by analysis and the data attribute list.
The further technical scheme is as follows: the reporting data coding specifically includes: when the reported data is detected, searching a corresponding data reporting service item in the data reporting service list according to a data reporting service ID provided by a user; searching 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; and according to the data reporting service ID and the searched data attribute, combining the corresponding data attribute ID to sequentially carry out binary coding to obtain a binary data string of the reported data.
The further technical scheme is as follows: the encoding of the instruction response data specifically includes: when the instruction response data is detected, searching a corresponding instruction response service item in the instruction response service list according to an instruction response service ID provided by a user; searching corresponding data attributes in the data attribute list one by one in sequence according to the data attribute IDs of the data attributes of the searched command response service items; and acquiring a task ID in the instruction response data, and sequentially carrying out binary coding according to the task ID, the instruction response service ID and the searched data attribute in combination with the corresponding data attribute ID to acquire a binary data string of the instruction response data.
The further technical scheme is as follows: the decoding of the downlink instruction specifically includes: when the downlink instruction is detected, acquiring a task ID and a downlink instruction service ID; searching a corresponding downlink instruction service item in the downlink instruction service list according to the obtained downlink instruction service ID; searching corresponding data attributes in the data attribute list one by one in sequence according to the data attribute IDs of the data attributes of the searched downlink instruction service items; and decoding the binary data string of the downlink instruction according to the sequence of the searched data attribute and the corresponding data attribute ID to obtain the corresponding specific data content.
In a second aspect, an embodiment of the present invention provides an internet of things terminal object model adaptive encoding and decoding system, which is applied to an internet of things terminal and includes a service initialization module, an encoding module and a decoding module, where the service initialization module is used to load an object model definition and parse 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 coding module is connected with the service initialization module and is used for coding uplink data; the decoding module is connected with the service initialization module and used for decoding the downlink instruction.
The further technical scheme is as follows: the Internet of things terminal object model self-adaptive coding and decoding system further comprises a storage module, wherein the storage module is connected with the service initialization module and is used for storing the data attribute list, the data reporting service list, the downlink instruction service list and the instruction response service list.
The further technical scheme is as follows: the uplink data comprises reported data, the coding module comprises a reported data coding unit, and the reported data coding unit is used for coding data according to a data reporting service ID provided by a user, the data reporting service list obtained by analysis and the data attribute list when the reported data is detected.
The further technical scheme is as follows: the uplink data comprises instruction response data, the coding module comprises an instruction response data coding unit, and the instruction response data coding unit is used for coding data according to an instruction response service ID provided by a user, the instruction response service list obtained through analysis and the data attribute list when the instruction response data are detected.
The invention has the beneficial technical effects that: according to the self-adaptive coding and decoding method for the terminal object model of the Internet of things, the object model definition is loaded through the terminal of the Internet of things to analyze the data attribute list, the data reporting service list, the downlink instruction service list and the instruction response service list, so that when the object model changes and updates and needs to report data and the downlink instruction of a platform is processed or responded, the data can be directly coded and decoded according to the corresponding list analyzed through the object model definition, a user does not need to manually write and generate a coding and decoding program of the terminal of the Internet of things, coding and decoding of a new object model can be achieved, the process of reloading the coding and decoding program is not needed, working efficiency is improved, and the problem that online upgrading must be carried out on operating equipment due to change of the object model is solved. The self-adaptive coding and decoding system of the terminal object model of the Internet of things also has the functions.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a schematic flow chart of a method for adaptive coding and decoding of a terminal object model of the internet of things according to an embodiment of the present invention;
fig. 2 is a schematic specific flow chart of a method for adaptive encoding and decoding of a terminal object model of the internet of things according to an embodiment of the present invention;
fig. 3 is a schematic view of a first sub-flow of an internet of things terminal object model adaptive encoding and decoding method according to an embodiment of the present invention;
fig. 4 is a schematic view of a second sub-flow of the internet of things terminal object model adaptive encoding and decoding method provided by the embodiment of the invention;
fig. 5 is a schematic view of a third sub-flow of the internet of things terminal object model adaptive encoding and decoding method provided by the embodiment of the invention;
fig. 6 is a schematic frame diagram of an internet of things terminal object model adaptive coding and decoding system according to an embodiment of the present invention;
fig. 7 is a schematic diagram of a specific framework of an internet of things terminal object model adaptive coding and decoding system provided in an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It will be understood that the terms "comprises" and/or "comprising," when used in this specification and the appended claims, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
It is also to be understood that the terminology used in the description of the invention herein is for the purpose of describing particular embodiments only and is not intended to be limiting. As used in the specification of the present invention and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.
It should be further understood that the term "and/or" as used in this specification and the appended claims refers to any and all possible combinations of one or more of the associated listed items and includes such combinations.
Referring to fig. 1, fig. 1 is a schematic flow chart of an internet of things terminal object model adaptive encoding and decoding method provided in an embodiment of the present invention, where the internet of things terminal object model adaptive encoding and decoding method includes the following steps:
step S11, service initialization: and loading the object model definition at the terminal of the Internet of things, 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. Wherein the data items stored in the data attribute list include data collected by an external module. The internet of things terminal can use a TCP protocol and a CTWING platform to carry out data interaction so as to obtain a new object model definition, and when the object model definition is updated and changed, the object model definition can be downloaded to carry out subsequent operation. The object model definition refers to an object model description file. The data packet may include a service type identifier, a corresponding service ID, a data length, and specific data content. The data attribute list stores a plurality of data attributes, and each data attribute comprises 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 is stored with a plurality of data reporting service items, each data reporting service item comprises a data reporting service ID, and the data reporting service item also comprises a specific description of a corresponding reporting service so as to be convenient for accessing an application; the data reporting service item comprises at least one data attribute, and the number of the data attributes of the data reporting service item is not more than the length of the data attribute list. The downlink instruction service list stores a plurality of downlink instruction service items, each downlink instruction service item comprises a downlink instruction service ID, and the downlink instruction service item also comprises a specific description of a corresponding downlink instruction service so as to fetch an application; the downlink instruction service item may not include a data attribute, and may also include at least one data attribute, and the number of the 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 a plurality of instruction response service items, each instruction response service item comprises an instruction response service ID, and the instruction response service item further comprises a specific description of the corresponding instruction response service so as to fetch the application. The instruction response service item may not include a data attribute, but may also include at least one data attribute, and the number of the 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, the data reporting service list, the downlink instruction service list and the instruction response service list is used for initializing encoding and decoding so as to directly acquire the information to perform encoding and decoding operations according to the requirement.
Step S12, uplink data coding: and encoding the uplink data.
Step S13, decoding a downlink instruction: and decoding the downlink instruction.
The data is stored in any memory address individually and randomly in the equipment according to the data type, the coding is a process of converting a group of memory data into a data message which can be transmitted on the network through a serialization operation, and the decoding is a process of converting the data message on the network into a group of memory data through a deserialization operation. 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 so as to analyze a data attribute list, a data reporting service list, a downlink instruction service list and an instruction response service list, when the object model changes and updates and needs to report data and the downlink instruction of a platform is processed or responded, the data can be directly coded and decoded according to the corresponding list analyzed through the object model definition, a user does not need to manually write and generate a coding and decoding program of the Internet of things terminal, coding and decoding of a new object model can be achieved, the process of reloading the coding and decoding program is not needed, working efficiency is improved, and the problem that online upgrading must be carried out on operating equipment due to change of the object model is avoided.
With reference to fig. 2, specifically, the uplink data includes report data and instruction response data, and the step S12 includes:
step S121, reporting data codes: and when the reported data is detected, carrying out data coding according to the data reporting service ID provided by the user, the data reporting service list obtained by analysis and the data attribute list. When the data reporting coding is performed, the reported data may include a service type identifier, a data reporting service ID, a data length, and specific data content, and the specific data content may be coded according to a preset rule of a data attribute of a data reporting service item corresponding to the data reporting service ID and according to a sequence of the corresponding data attribute ID. For example, in a service type requiring reporting of temperature and humidity data, a service type identifier may be represented by unsigned integer data of 1 byte, a data reporting service ID may be represented by unsigned short integer data of 2 bytes, a data length may be represented by unsigned integer data of 2 bytes, temperature data and humidity data are both represented by float type, and temperature is in the front and humidity is in the back.
Step S122, command response data encoding: and when the instruction response data is detected, carrying out data coding according to the instruction response service ID provided by the user, the instruction response service list obtained by analysis and the data attribute list.
With reference to fig. 3, the step S121 specifically includes:
step S1211, when the report data is detected, searching the data report service list for a corresponding data report service item according to the data report service ID provided by the user.
Step S1212, sequentially searching 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 data reporting service items, so as to obtain the specific description of the data reporting service corresponding to the corresponding data reporting service items according to the detailed information of the searched data attributes.
Step S1213, according to the data reporting service ID and the searched data attribute, and combining the corresponding data attribute ID to sequentially perform binary coding, so as to obtain a binary data string of the reported data.
Before step S1211, the method may further include: and judging whether the reported data exists, if so, executing the step S1211.
With reference to fig. 4, the step S122 specifically includes:
step S1221, when the instruction response data is detected, searching a corresponding instruction response service item in the instruction response service list according to the instruction response service ID provided by the user.
Step S1222, sequentially searching the data attribute list for corresponding data attributes one by one according to the data attribute IDs of the data attributes of the searched command response service items, so as to obtain the detailed description of the command response service corresponding to the corresponding command response service items according to the detailed information of the searched data attributes.
Step S1223, acquiring the task ID in the instruction response data, and performing binary coding in sequence according to the acquired task ID, the instruction response service ID, and the searched data attribute in combination with the corresponding data attribute ID to acquire a binary data string of the instruction response data. The task refers to a task corresponding to the instruction.
In conjunction with fig. 5, specifically, the step S13 includes:
step S131, when the downlink instruction is detected, acquiring a task ID and a downlink instruction service ID. The downlink instruction refers to an instruction to be issued by the platform, and the task refers to a task corresponding to the instruction.
Step S132, searching the corresponding downlink instruction service item in the downlink instruction service list according to the obtained downlink instruction service ID.
Step S133, sequentially searching 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.
And step S134, decoding the binary data string of the downlink instruction according to the searched data attribute and the sequence of the corresponding data attribute ID to obtain the corresponding specific data content.
Wherein, before the step S131, the method may further include: and judging whether a downlink instruction needs to be issued by the platform, if so, executing the step S131. When decoding a downlink instruction, pre-decoding a data message to acquire a 1-byte service type identifier, and directly discarding the data when the data content is judged to be not the downlink instruction in the information indicated by the data content of the acquired service type identifier; otherwise, the data content is a downlink command, and step S131 is executed.
Referring to fig. 6, fig. 6 is a schematic diagram of a framework of an internet of things terminal object model adaptive coding and decoding system provided in an embodiment of the present invention, where the internet of things terminal object model adaptive coding and decoding system is applied to an internet of things terminal and can execute the above-mentioned internet of things terminal object model adaptive coding and decoding method, the internet of things terminal object model adaptive coding and decoding system 10 includes a service initialization module 11, a coding module 12, and a decoding module 13, the service initialization module 11 is configured to load an object model definition, and parse 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, so that the coding module 12 and the decoding module 13 can be reinitialized by the service initialization module 11; the coding module 12 is connected to the service initialization module and is configured to code uplink data; the decoding module 13 is connected to the service initialization module and configured to decode the downlink instruction.
The internet of things terminal object model self-adaptive coding and decoding system 10 loads object model definitions at an internet of things terminal through setting the business initialization module 11 to analyze a data attribute list, a data reporting service list, a downlink instruction service list and an instruction response service list, and is matched with the coding module 12 and the decoding module 13 to re-initialize the coding module 12 and the decoding module 13, when the object model changes and needs to report data and process or respond to a downlink instruction of a platform, the coding and decoding of the data can be directly carried out according to the corresponding list analyzed by the object model definitions, a user can code and decode a new object model without manually compiling and generating a coding and decoding program of the internet of things terminal, the process of reloading the coding and decoding program is not needed, the working efficiency is improved, and the problem that online upgrading must be carried out on operating equipment due to the change of the object model is avoided.
Specifically, referring to fig. 7, in this embodiment, the internet of things terminal object model adaptive encoding and decoding system 10 further includes a storage module 14, where the storage module 14 is connected to the service initialization module 11 and is configured to store the data attribute list, the data reporting service list, the downlink instruction service list, and the instruction response service list, so that the subsequent encoding module 12 and the decoding module 13 perform a search operation.
Specifically, the uplink data includes report data, the encoding module 12 includes a report data encoding unit 121, and the report data encoding unit 121 is configured to, when the report data is detected, perform data encoding according to a data report service ID provided by a user, the data report service list obtained through analysis, and the data attribute list.
Specifically, the uplink data includes instruction response data, the encoding module 12 includes an instruction response data encoding unit 122, and the instruction response data encoding unit 122 is configured to encode data according to an instruction response service ID provided by a user, the instruction response service list obtained through analysis, and the data attribute list when the instruction response data is detected.
In summary, according to the internet of things terminal object model adaptive encoding and decoding method, the object model definition is loaded through the internet of things terminal to analyze the data attribute list, the data reporting service list, the downlink instruction service list and the instruction response service list, so that when the object model changes and updates and needs to report data and process or respond to the downlink instruction of the platform, the data can be directly encoded and decoded according to the corresponding list analyzed through the object model definition, the encoding and decoding program of the internet of things terminal can be generated without manual compiling by a user, the encoding and decoding of a new object model can be realized without reloading the encoding and decoding program, the working efficiency is improved, and the problem that the online upgrade of operating equipment is required due to the change of the object model is solved. The self-adaptive coding and decoding system of the terminal object model of the Internet of things also has the functions.
While the invention has been described with reference to specific embodiments, it will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (9)
1. The self-adaptive coding and decoding method of the Internet of things terminal object model is applied to the 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.
2. The internet of things terminal object model adaptive coding and decoding method according to claim 1, wherein the uplink data in the uplink data codes comprise report data and command response data, and the uplink data codes specifically comprise:
reporting data coding: when the reported data is detected, carrying out data coding according to a data reporting service ID provided by a user, the data reporting service list obtained by analysis and the data attribute list;
command response data encoding: and when the instruction response data is detected, carrying out data coding according to the instruction response service ID provided by the user, the instruction response service list obtained by analysis and the data attribute list.
3. The internet of things terminal object model adaptive coding and decoding method according to claim 2, wherein the reported data coding specifically comprises:
when the reported data is detected, searching a corresponding data reporting service item in the data reporting service list according to a data reporting service ID provided by a user;
searching 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;
and according to the data reporting service ID and the searched data attribute, combining the corresponding data attribute ID to sequentially carry out binary coding to obtain a binary data string of the reported data.
4. The internet of things terminal object model adaptive coding and decoding method according to claim 2, wherein the command response data coding specifically comprises:
when the instruction response data is detected, searching a corresponding instruction response service item in the instruction response service list according to an instruction response service ID provided by a user;
searching corresponding data attributes in the data attribute list one by one in sequence according to the data attribute IDs of the data attributes of the searched command response service items;
and acquiring a task ID in the instruction response data, and sequentially carrying out binary coding according to the task ID, the instruction response service ID and the searched data attribute in combination with the corresponding data attribute ID to acquire a binary data string of the instruction response data.
5. The internet of things terminal object model adaptive coding and decoding method according to claim 1, wherein the downlink instruction decoding specifically comprises:
when the downlink instruction is detected, acquiring a task ID and a downlink instruction service ID;
searching a corresponding downlink instruction service item in the downlink instruction service list according to the obtained downlink instruction service ID;
searching corresponding data attributes in the data attribute list one by one in sequence according to the data attribute IDs of the data attributes of the searched downlink instruction service items;
and decoding the binary data string of the downlink instruction according to the sequence of the searched data attribute combined with the corresponding data attribute ID to obtain the corresponding specific data content.
6. The utility model provides a thing model self-adaptation coding and decoding system of thing networking terminal which characterized in that is applied to thing networking terminal, includes:
the service initialization module is used for loading the 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;
the coding module is connected with the service initialization module and is used for coding uplink data;
and the decoding module is connected with the service initialization module and used for decoding the downlink instruction.
7. The internet of things terminal object model adaptive coding and decoding system according to claim 6, further comprising a storage module, connected to the service initialization module, for storing the data attribute list, the data reporting service list, the downlink instruction service list, and the instruction response service list.
8. The internet of things terminal object model adaptive coding and decoding system according to claim 7, wherein the uplink data includes reported data, the coding module includes a reported data coding unit, and the reported data coding unit is configured to perform data coding according to a data reporting service ID provided by a user and the data reporting service list and the data attribute list obtained by parsing when the reported data is detected.
9. The internet of things terminal object model adaptive coding and decoding system according to claim 7, wherein the uplink data comprises instruction response data, the coding module comprises an instruction response data coding unit, and the instruction response data coding unit is configured to perform data coding according to an instruction response service ID provided by a user, the instruction response service list obtained through analysis, and the data attribute list when the instruction response data is detected.
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