CN112416571A

CN112416571A - Resource management method, operating system and management device for industrial Internet of things nodes

Info

Publication number: CN112416571A
Application number: CN202011119915.6A
Authority: CN
Inventors: 薛栋梁; 曹东刚; 麻志毅; 黄林鹏; 梅宏
Original assignee: Advanced Institute of Information Technology AIIT of Peking University; Hangzhou Weiming Information Technology Co Ltd
Current assignee: Peking University; Advanced Institute of Information Technology AIIT of Peking University
Priority date: 2020-10-19
Filing date: 2020-10-19
Publication date: 2021-02-26

Abstract

The application discloses a resource management method, an operating system and a management device for an industrial Internet of things node. The method comprises the following steps: describing hardware resources of each node of the industrial Internet of things; and constructing an intelligent operating system and a resource management device based on the described hardware resources of each node of the industrial Internet of things. The hardware resources of each node of the industrial Internet of things are described, and the method comprises the step of describing the computing capacity, the communication capacity, the storage capacity, the perception capacity and the interaction capacity of each node of the industrial Internet of things. The method can describe hardware resources of the industrial Internet of things and effectively manage the hardware resources, can sufficiently support various interconnection protocols in the field of the industrial Internet of things, can provide powerful support for collection of industrial big data and access of a cloud platform, improves resource utilization efficiency and working efficiency of the industrial Internet of things, promotes conversion from traditional industry to intellectualization, and has wide market application prospect.

Description

Resource management method, operating system and management device for industrial Internet of things nodes

Technical Field

The application relates to the technical field of Internet of things, in particular to a resource management method, an operating system and a resource management device for an industrial Internet of things node.

Background

The industrial internet of things is the largest and most important component in the internet of things, and various acquisition or control sensors with sensing and monitoring capabilities and ubiquitous technologies, mobile communication, intelligent analysis and other technologies are continuously integrated into all links of the industrial production process, so that the manufacturing efficiency is greatly improved, the product quality is improved, the product cost and the resource consumption are reduced, and the traditional industry is finally promoted to an intelligent new stage.

The internet of things node equipment refers to a series of terminal node equipment connected to the business layer of the internet of things through the internet of things access network. The node equipment of the internet of things has extreme diversity and specificity, and the typical node equipment of the internet of things also has the characteristics of real-time response, low power consumption, low speed, complex and various communication protocols and the like. The node equipment is a carrier formed by the Internet of things and is in a very important basic core position.

The industrial internet of things field has the characteristics of various application requirements, various hardware types, large equipment specification difference and various communication protocols, more nodes are included, and the corresponding operating system also needs to occupy the running resources as little as possible and has low power consumption, so that the industrial internet of things field is difficult to have a large unified operating system such as Windows and Linux, and is in a fragmentation state formed by various operating systems such as FreeRTOS, RIOT, TizenRT and the like, and the popularization of the industrial internet of things field is hindered. The internet of things operating system in the current market can be mainly summarized into three implementation modes: the method comprises the steps of firstly, developing a real-time operating system (RTOS) for an embedded field Microcontroller (MCU), secondly, cutting and customizing for a specific Internet of things field based on a traditional operating system, and thirdly, unifying the whole ecological area by using a single operating system. At present, how to realize resource management of each node in the industrial internet of things is a technical problem to be solved urgently.

Disclosure of Invention

The application aims to provide a resource management method, an operating system and a resource management device for an industrial Internet of things node. The following presents a simplified summary in order to provide a basic understanding of some aspects of the disclosed embodiments. This summary is not an extensive overview and is intended to neither identify key/critical elements nor delineate the scope of such embodiments. Its sole purpose is to present some concepts in a simplified form as a prelude to the more detailed description that is presented later.

According to an aspect of an embodiment of the present application, a resource management method for an industrial internet of things node is provided, including:

describing hardware resources of each node of the industrial Internet of things to obtain a text which can be directly or indirectly analyzed by a processor;

and constructing an intelligent operating system based on the described hardware resources of each node of the industrial Internet of things.

Further, the description of the hardware resources of each node of the industrial internet of things comprises the steps of respectively describing the computing capacity, the communication capacity, the storage capacity, the sensing capacity and the interaction capacity of each node of the industrial internet of things;

the computing capacity comprises a general computing type, an assembly language instruction type, an instruction addressing mode, a computing frequency and a clock cycle which are supported by the node;

the communication capabilities include communication protocols, transport protocols, and support for protocol conversion supported by the node;

the storage capacity comprises application scenes and storage capacity supported by the node;

the sensing capability comprises the type and upper and lower limits of physical quantities which can be sensed by the node;

the interaction capability comprises a human-computer interaction attribute of the node.

Further, the general computing categories include describing logical operations, arithmetic operations, and shift operations; the assembly language instruction category comprises a description character operation type instruction, a transfer control type instruction, a stack operation type instruction and a multimedia operation type instruction; the instruction addressing mode comprises a description register addressing mode, a base addressing mode and an index addressing mode.

Further, the providing a resource description service for constructing an intelligent operating system based on the described hardware resources of each node of the industrial internet of things includes:

providing a resource description service based on the described computing capability, communication capability, storage capability, perception capability and interaction capability, and laying a foundation for constructing an intelligent operating system; the resource description service can cooperate with the intelligent operating system to carry out real-time scheduling by combining the application scene, and represent, organize and dump the data obtained by each node according to a set procedure.

According to another aspect of the embodiments of the present application, there is provided an operating system of an industrial internet of things node, including:

the hardware resource description and management subsystem comprises a computing capability description and management module, a sensing capability description and management module, a communication capability description and management module, a storage capability description and management module, a sensing capability description and management module and an interaction capability description and management module;

the common real-time micro-kernel subsystem comprises a process management module, a memory management module, a communication protocol module, a data organization module and a human-computer interaction support module;

the public library and basic development tool support subsystem comprises a public library support module and a basic development tool support module.

Further, the computing capability description and management module is used for describing and managing computing attributes, and specifically includes:

describing the general computing types supported by the microcontroller;

describing the kind of assembly language instruction supported by the microcontroller;

describing an instruction addressing mode supported by a microcontroller;

the calculation frequency and clock period of the microcontroller are described.

Further, the communication capability description and management module is used for describing and managing connection attributes and data transmission attributes of various communication modules included in the node device of the internet of things, and specifically includes:

describing the communication protocol followed by various section communication modules;

describing the transmission protocol of various communication modules;

the support of protocol conversion by various communication modules and gateways thereof is described.

Further, the storage capability description and management module is used for describing and managing functions and utilities of various storage devices included in the node device of the internet of things, and specifically includes:

describing an application scenario of a storage device;

the capacity size of the storage device is described.

Further, the sensing ability description and management module is used for describing and managing detection sensing attributes of various sensors contained in the node equipment of the internet of things, and specifically includes:

describing the kind of physical quantity sensed by the sensor;

upper and lower limits of the physical quantity sensed by the sensor are described.

Further, the human-computer interaction capability description and management module is used for describing and managing functions and utilities of various human-computer interaction related peripherals contained in the node equipment of the internet of things, and specifically comprises the following steps:

describing properties of the display device;

describing attributes of the touch device;

attributes of the sound card device and the voice recognition device are described. 11. The system of claim 5, wherein the process management module is configured to allocate resources to the processes, share and exchange information among the processes, synchronize the processes, and perform real-time scheduling in combination with an application scenario of the industrial internet of things.

Further, the memory management module is configured to manage memory resources configured on the node device, and specifically configured to:

managing the organization form of the address space in the memory;

managing reduces external fragmentation and internal fragmentation of memory.

Further, the communication protocol management module is used for realizing industrial interconnection and data transmission, and is specifically used for:

implementation of management protocols;

managing pluggable industrial internet of things oriented communication protocols.

Further, the human-computer interaction support management module is used for: managing window management and its basic controls; managing GUI controls; managing voice interactions.

Further, the data organization module is used for representing, organizing and dumping data obtained by hardware with storage capability and hardware with sensing capability.

According to another aspect of the present application, there is provided a resource management device for an industrial internet of things node, including:

the hardware resource management unit is used for summarizing and managing hardware resources of various node devices in the industrial Internet of things and providing support for the kernel service providing unit;

the kernel service providing unit is used for providing multithreading real-time kernel service;

the data transmission communication unit is used for providing data channels among the nodes of the industrial Internet of things and between the nodes and the cloud big data platform by adopting a uniform datagram format communication technology;

and the software application service unit is used for providing an interface for upper-layer application according to different application scenes of the industrial Internet of things.

Further, the hardware resource management unit includes:

a computing resource management subcomponent for managing computing attributes of the microcontroller on the internet of things node device;

the storage resource management subcomponent is used for managing storage equipment on the node equipment of the Internet of things;

the sensing resource management subcomponent is used for managing the detection experience attributes of various sensors on the node equipment of the Internet of things;

and the human-computer interaction resource management subcomponent is used for managing various human-computer interaction peripherals on the node equipment of the Internet of things.

Further, the core service providing unit includes:

the process management subcomponent is used for allocating resources to each process, sharing and exchanging information among the processes, synchronizing the processes, and scheduling in real time by combining the application scene of the industrial Internet of things;

the memory management subcomponent is used for managing storage resources configured on the node device;

a human-computer interaction support management subcomponent for managing human-computer interaction devices;

and the data organization subcomponent is used for representing, organizing and dumping data obtained by hardware with storage capability and hardware with sensing capability.

Further, the data transmission communication unit includes:

the intra-computing-node communication subcomponent is used for communication among the nodes of the industrial Internet of things;

a compute inter-node communication subcomponent for communication between an inter-node network and a telecommunications transport network;

and the data transmission unified communication subcomponent is used for designing a datagram format protocol on an application layer by adopting a unified datagram format communication technology.

Further, the software application service unit includes:

a computing framework support subcomponent for providing support of an intelligent computing framework;

an industrial application library support subcomponent for providing industrial application library support;

and the cloud application support subcomponent is used for providing cloud application support.

The technical scheme provided by one aspect of the embodiment of the application can have the following beneficial effects:

the resource management method for the nodes of the industrial Internet of things, provided by the embodiment of the application, can describe hardware resources of the industrial Internet of things, is suitable for an operating system of the industrial Internet of things, fully supports various interconnection protocols in the field of the industrial Internet of things, can provide powerful support for collection of industrial big data and access of a cloud platform, can effectively manage resources of the industrial Internet of things, improves resource utilization efficiency and working efficiency of the industrial Internet of things, and promotes realization of traditional industrial intelligence.

Additional features and advantages of the application will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by the practice of the embodiments of the application, or may be learned by the practice of the embodiments. The objectives and other advantages of the application may be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.

Drawings

In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments described in the present application, and other drawings can be obtained by those skilled in the art without creative efforts.

Fig. 1 shows a flowchart of a resource management method of an industrial internet of things node according to a first embodiment of the present application;

fig. 2 shows a flowchart describing hardware resources of nodes of the industrial internet of things in the first embodiment of the present application;

fig. 3 is a schematic architecture diagram of an intelligent operating system of an industrial internet of things according to another embodiment of the present application;

FIG. 4 is a diagram illustrating an architecture of a hardware resource description and management subsystem of an intelligent operating system according to another embodiment of the present application;

FIG. 5 is a schematic diagram of a general real-time microkernel service subsystem of an intelligent operating system according to another embodiment of the present application;

FIG. 6 is a schematic structural diagram of a common library and basic development tool support subsystem of an intelligent operating system according to another embodiment of the present application;

fig. 7 is a schematic structural diagram of a node device management system apparatus according to another embodiment of the present application.

Detailed Description

In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is further described with reference to the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application. 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 application.

It will be understood by those within the art that, unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. It will be further understood that terms, such as those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the prior art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.

A first embodiment of the present application provides a resource management method for an industrial internet of things node, including:

and S10, describing hardware resources of each node of the industrial Internet of things to obtain a text which can be directly or indirectly analyzed by the processor.

The internet of things comprises massive heterogeneous node devices, and in order to facilitate the control and management of the resources by the operating system of the internet of things, the resources provided by the node devices need to be described first.

Describing the resource results in a plurality of routines for providing the software program with access to the hardware resource through the programming interface. The programming interface of the routine allows all devices in a particular class of hardware devices to be accessed through the same interface. The description of the hardware resource is used for communicating with the hardware device directly, the operation to be executed by the hardware device is communicated to the operating system through the program, and then the operating system generates the relevant operation instruction for the corresponding hardware device. The nodes of the industrial Internet of things comprise a microcontroller, a communication module, a storage module, a sensor, an interaction module and the like. Today, the internet of things operating system is still in a starting state, and the operating system on the internet of things node device in the core position is the bottleneck of the development of the internet of things. Therefore, for the current industry of the industrial internet of things, an internet of things node operating system is a bottleneck for restricting the soaring of the internet of things, and needs to be solved urgently. The traditional internet of things operating system cannot meet the requirements of the industrial internet of things on the real-time performance of data transmission and the selectivity of data processing fusion.

The description of the hardware resources of each node of the industrial Internet of things is used for describing resources such as a processor, a memory and peripherals on each node device of the industrial Internet of things. Step S10 of the present embodiment includes:

and S101, describing the computing capacity of each node of the industrial Internet of things.

The computing capability description is used for describing the computing attributes of microcontrollers such as RISC-V, ARM and the like contained in the node equipment, and mainly comprises the following steps: describing the general computing types supported by the microcontroller; describing the kind of assembly language instruction supported by the microcontroller; describing an instruction addressing mode supported by a microcontroller; the calculation frequency and clock period of the microcontroller are described. The microcontroller is part of the node.

The calculation attribute refers to an attribute that can be written to calculation logic. Various complex logic including operations, function calls, etc. may be performed within a computational attribute, as long as a result is ultimately returned.

Wherein, the description microcontroller supports general computation types including description logic operation, arithmetic operation, shift operation, etc.; the description microcontroller supports assembly language instruction types including description character operation type instructions, transfer control type instructions, stack operation type instructions, multimedia operation type instructions and the like; the instruction addressing mode supported by the microcontroller is described and comprises a register addressing mode, a base addressing mode, an index addressing mode and the like.

According to the hardware computing resource information of the node, the computing mode and the computing attribute supported by the hardware bottom layer are defined through software, for example, operations such as basic operation and addressing mode are defined as functions, the computing frequency and the clock period of the microcontroller are defined as constants and the like, and the constants and the like are used as interfaces of hardware resources and software programming to be provided for upper-layer application program calling.

The calculation frequency and the clock period of the microcontroller can be used as indexes for classifying the calculation capacity of the node equipment.

And S102, describing the communication capacity of each node of the industrial Internet of things.

The communication capability description is used for describing connection attributes and data transmission attributes of various communication modules contained in the node equipment of the internet of things, and mainly comprises the following steps: describing communication protocols followed by various communication modules; describing the transmission protocol of various communication modules; describing the support of various communication modules and gateways thereof on protocol conversion; other attributes of the various types of communication modules are described. The communication module is also part of the constituent node.

The communication protocols for describing various sections of communication modules are adopted to comprise 3G/4G/5G, Wi-Fi, Bluetooth, RFID, NFC protocols which are commonly used, ZigBee, NB-IoT, LoRa protocols which are specially used for the Internet of things and the like; the communication protocols describing various communication modules comprise a description physical layer protocol, a transmission layer protocol, an application layer protocol and the like; the described support of various communication modules and their gateways for protocol conversion includes protocol conversion from local area network to wide area network, protocol conversion between wide area networks, etc.; other attributes of the various types of communication modules include the transmission frequency, transmission rate, transmission distance, etc. of the communication modules.

In describing the support of various communication modules and gateways thereof on protocol conversion, the organization utilizes the protocol conversion to network all the original equipment and the new equipment, and the original equipment and the new equipment are communicated with each other to control the overall situation, thereby being convenient for making decisions more efficiently. Other attributes of the various types of communication modules include the transmission frequency, transmission rate, transmission distance, etc. of the communication module. By summarizing the attributes of various communication protocols, the communication capacity of the node equipment is described in terms of communication data format, energy consumption, transmission bandwidth, cost and the like.

According to the hardware communication resource information of the node, the communication mode and the communication attribute supported by the hardware bottom layer are defined by software, for example, common operations and instructions of different communication hardware modules are packaged into a library, and the transmission frequency and the transmission distance of the communication module are defined into constants and other forms and are provided for the upper layer application program to call.

And S103, describing the storage capacity of each node of the industrial Internet of things.

The storage capacity description is used for describing functions and utilities of various storage modules contained in the node equipment of the internet of things, and mainly comprises the steps of describing application scenes of the various storage modules, describing capacity of the various storage modules and the like. The memory module is also part of the constituent nodes.

The application scenes for describing the various storage modules comprise a container RAM for describing code operation in node equipment, a container NOR Flash for starting code operation in the node equipment, a container NAND Flash for storing a file system and data in the node equipment, a container Cache for accelerating data access speed in the node equipment and the like. The size of the storage capacity of the various storage modules within the node device is an important aspect of the description of the storage capabilities of the node device.

And defining a storage mode and a storage attribute supported by a hardware bottom layer through software according to the hardware storage resource information of the node so as to be called by an upper application program.

And step S104, describing the perception capability of each node of the industrial Internet of things.

The perception capability description mainly describes detection experience attributes of various sensors contained in node equipment of the internet of things, and mainly comprises the following steps: describing the types of physical quantities which can be sensed by various sensors; describing the upper and lower limits of physical quantities which can be sensed by various sensors; other attributes of various types of sensors are described. The sensors are also part of the constituent nodes.

The upper and lower limits of the physical quantity which can be sensed by various sensors comprise energy consumption degrees corresponding to different sensing upper and lower limits and measuring ranges of the sensors. Other attributes of each type of sensor include the linearity, sensitivity, resolution, stability, accuracy, etc. of the sensor.

Wherein, the sensors comprise position sensors, liquid level sensors, energy consumption sensors, speed and acceleration sensors, ray radiation sensors, thermosensitive sensors, humidity sensors, magnetic sensors and the like which are commonly used in industrial production; other properties of the sensor include linearity, sensitivity, resolution, stability, accuracy of the sensor, etc.

And S105, describing the man-machine interaction capability of each node of the industrial Internet of things.

The description of the man-machine interaction capability mainly describes the attributes of various man-machine interaction related peripherals contained in the node equipment of the internet of things, including the description of various attributes of various display equipment, the description of various attributes of various touch equipment, the description of various attributes of various sound card equipment and voice recognition equipment, and the like. The interactive module is also part of the constituent node.

The method comprises the following steps of describing various attributes of various display devices, wherein the various attributes comprise indexes such as resolution, display refreshing frequency and display card capacity supported by the display devices; the description of various attributes of various touch devices includes the description of indexes such as sensitivity, touch type and intensity of touch vibration signals of the touch devices; the description of various attributes of various sound card devices and voice recognition devices includes the description of indexes such as sampling precision, sampling frequency, digital signal processor characteristics and MIDI characteristics supported by the sound card devices and the voice recognition devices.

S20, constructing an intelligent operating system based on the described hardware resources of each node of the industrial Internet of things.

Specifically, the description of the hardware resources of each node of the industrial internet of things includes the steps of respectively describing the computing capacity, the communication capacity, the storage capacity, the sensing capacity and the interaction capacity of each node of the industrial internet of things;

Specifically, the general computing categories include describing logical operations, arithmetic operations, and shift operations; the assembly language instruction category comprises a description character operation type instruction, a transfer control type instruction, a stack operation type instruction and a multimedia operation type instruction; the instruction addressing mode comprises a description register addressing mode, a base addressing mode and an index addressing mode.

Specifically, the constructing an intelligent operating system based on the described hardware resources of each node of the industrial internet of things includes:

The resource management method for the nodes of the industrial internet of things can describe hardware resources of the industrial internet of things, is suitable for an operating system of the industrial internet of things, is good in compatibility, fully supports various interconnection protocols in the field of the industrial internet of things, has good support performance for novel architectures such as RISC-V and the like, can provide powerful support for collection of industrial big data and access of a cloud platform, can effectively manage resources of the industrial internet of things, improves resource utilization efficiency of the industrial internet of things, can effectively solve practical problems such as resource management of the nodes of the industrial internet of things, improves working efficiency of the industrial internet of things, and promotes realization of traditional industrial intelligence.

A second embodiment of the present application provides a resource management device for an industrial internet of things node, including:

the hardware resource description subsystem is used for describing hardware resources of each node of the industrial Internet of things;

and the common real-time micro-kernel service subsystem is used for providing common services for the operating system kernels of the nodes of the industrial Internet of things based on the hardware resources of the nodes of the industrial Internet of things described by the hardware resource description subsystem.

In some embodiments, the resource management apparatus further includes a common library and development tool support subsystem, configured to provide a common library and development tool for the hardware resource description subsystem and the common real-time microkernel service subsystem.

In some embodiments, the resource management device further includes a data transmission communication subsystem, and the data transmission communication subsystem is configured to provide data channels between the nodes of the industrial internet of things and between the nodes and a cloud big data platform.

In some embodiments, the hardware resource description subsystem includes a computing capability description module, a communication capability description module, a storage capability description module, a sensing capability description module and an interaction capability description module, which are respectively used for describing computing capability, communication capability, storage capability, sensing capability and interaction capability of each node of the industrial internet of things.

In some embodiments, the common real-time microkernel service subsystem includes a process management module, a memory management module, a communication protocol management module, a human-computer interaction support management module, and a data organization module;

the process management module is used for allocating operating system resources of each node to each process, enabling the processes to share and exchange information, enabling the processes to be synchronous, and carrying out real-time scheduling by combining with an application scene of the industrial Internet of things;

the memory management module is used for performing memory management according to the storage resources of each node and the combination architecture;

the communication protocol management module is used for realizing each communication protocol of industrial interconnection and data transmission;

the human-computer interaction support management module is used for establishing a module which is used for realizing the centralized embodiment of the usability and the visual friendliness of the node equipment operating system in a public kernel service layer on the basis that a hardware resource description layer shields the hardware details of various display equipment and touch equipment.

The data organization module is used for representing, organizing and dumping the data obtained by each node according to a given procedure.

The resource management device for the nodes of the industrial internet of things is used for managing resources of each node device of the industrial internet of things. The management system describes node-level common real-time microkernels aiming at application requirements, working environments, hardware and protocol characteristics of the industrial Internet of things and according to the existing ecological environment through a microkernel architecture and a system facing node equipment of the industrial Internet of things, supports the loading into the hardware of personalized node equipment in a rapid customization mode, and supports the requirements of expandability, strong real-time performance and integration of the application of the industrial Internet of things.

Fig. 3 is a schematic architecture diagram of an intelligent operating system of an industrial internet of things according to another embodiment of the present application. The intelligent operating system provided by the embodiment runs the technical scheme of the resource description method embodiment, so that the functions of resource management, kernel service provision, external interface and the like are realized, and further, services are provided for application software of different application scenes of the industrial internet of things. As shown in fig. 3, the smart operating system provided in this embodiment includes three subsystems: a hardware resource description and management subsystem 210, a common real-time microkernel services subsystem 220, a common library and basic development tool support subsystem 230.

The hardware resource description and management subsystem 210, as shown in fig. 4, is used to summarize the underlying hardware resources, which are described in terms of software or hardware that can be implemented, and then further managed. The hardware resource description and management subsystem 210 may further include a computing capability description and management module 2101, a communication capability description and management module 2102, a storage capability description and management module 2103, a perception capability description and management module 2104, and an interaction capability description and management module 2105.

The computing capability description and management module 2101 is used for describing and managing computing attributes of microcontrollers such as RISC-V, ARM and the like included in node devices of the internet of things, and mainly comprises the steps of summarizing and describing general computing types supported by the microcontrollers, summarizing and describing assembly language instruction types supported by the microcontrollers, summarizing and describing instruction addressing modes supported by the microcontrollers, summarizing and describing computing frequencies and clock cycles of the microcontrollers.

The summary describes the general computing types supported by the microcontroller, which mainly includes logic operation, arithmetic operation, shift operation, and the like. Specifically, taking the RV32I instruction set in the RISC-V architecture as an example, the logical operation can be implemented by using AND, OR, XOR AND other instructions; the arithmetic operation can be realized by using instructions such as ADD, SUB and the like; operations such as operations may be implemented using instructions such as SLL, SRL, SRA, etc. Summarizing and utilizing these instructions, general purpose computing operations of the microcontroller may be managed.

The summary describes the types of assembly language instructions supported by the microcontroller, and mainly comprises a character operation type, a transfer control type, a stack operation type, a multimedia operation type and the like. Specifically, for example, the RV32I instruction set in the RISC-V architecture includes a character operation assembly instruction such as CSR, a transfer control assembly instruction such as JAL and BEQ, and a stack operation assembly instruction such as LOAD and STORE. By using various assembly language instruction sets, various resources of the node device microcontroller can be flexibly utilized to develop an operating system kernel suitable for various functions.

The summary and description describes the instruction addressing modes supported by the microcontroller, such as register addressing, base addressing, index addressing, and the like. Specifically, register addressing refers to an addressing mode in which operands are all in a register, and can be further divided into a register indirect addressing mode and a register direct addressing mode; the base address addressing is an addressing mode of adding a formal address in an instruction format to the content of a Zhang hong base address register of the microcontroller to form an effective address of an operand; the addressing mode is that the effective address of the operand is obtained by adding the content of the microcontroller index register and the address given by the instruction address code part. These addressing modes can be specified in the operation code part of the assembly instruction, and are the basic requirements for realizing the general-purpose computing instruction and the assembly instruction.

The calculation frequency and the clock cycle of the microcontroller are summarized and described, the clock cycles of the instructions corresponding to the instruction sets of the RISC-V and ARM architectures are different, the calculation frequency and the clock cycle of the microcontroller are summarized and calculated, the calculation frequency and the clock cycle can be used as an index for judging the operation capability of the microcontroller of the node equipment, and on the basis, a proper task is arranged, a proper program is written, and the performance of the microcontroller is fully exerted.

The communication capability description and management module 2102 is configured to describe and manage connection attributes and data transmission attributes of various communication modules included in node devices of the internet of things, and mainly includes summarizing and describing communication protocols followed by the various communication modules, summarizing and describing transmission protocols of the various communication modules, summarizing and describing support of protocol conversion by the various communication modules and gateways thereof, summarizing and describing other attributes of the various communication modules.

The communication protocols followed by various section communication modules are summarized and described, and comprise common 3G/4G/5G, Wi-Fi, Bluetooth, RFID and NFC protocols, as well as ZigBee, NB-IoT and LoRa protocols and the like which are specially used for the Internet of things, and the protocols can be divided into short-distance transmission protocols and long-distance transmission protocols according to functions and application scenes, wherein the short-distance transmission is mainly used for communication between node devices or between node device sensors and comprises Wi-Fi, Bluetooth, ZigBee and the like, the long-distance transmission protocols are used for communication between the node devices of the Internet of things and a cloud or a cloud end and comprise 3G/4G/5G, NB-IoT, LoRa and the like, and the communication protocols are utilized in different parts of the industrial Internet of things to effectively realize short-distance or long-distance information transmission;

the summary describes the transmission protocols of various communication modules, such as physical layer protocols, transport layer protocols, application layer protocols, etc., such as physical layer protocols of bluetooth physical layer, wifi physical layer, etc., transport layer protocols of TCP, UDP, etc., and application layer protocols of HTTP, FTP, SNMP, etc. Summarizing and utilizing the working mode of each layer of specific protocol of the communication module network to provide service for the upper layer communication protocol;

the summary describes the support of various communication modules and gateways thereof for protocol conversion, and if the communication between node devices supporting different communication protocols is required, the support of the communication protocol conversion module is required, so as to provide support for the communication protocol followed by the communication module;

the method is characterized in that other attributes of various communication modules are summarized and described, such as the attributes of the communication modules, such as transmission frequency, transmission rate, transmission distance and the like, the communication capacity of the node equipment is summarized from the aspects of communication data format, energy consumption, transmission bandwidth, cost and the like, and the requirements and the communication capacity characteristics of the node equipment are integrated to allocate appropriate communication tasks for different node equipment.

The storage capability description and management module 2103 is used for describing and managing functions and utilities of various storage devices included in the node device of the internet of things, and mainly includes summarizing and describing application scenes of the various storage devices and summarizing and describing capacity of the various storage devices.

Summarizing and describing application scenes of various storage devices, such as a container RAM for code operation in the node device, a container NOR Flash for starting code operation in the node device, a container NAND Flash for storing a file system and data in the node device, a container Cache for accelerating data access speed in the node device and the like, wherein the various storage devices store different types of data according to characteristics of the various storage devices so as to finish different types of tasks;

the capacity of various storage devices is summarized and described, the storage capacity of various storage devices in the node device is an important aspect of embodying the storage capacity of the node device, and appropriate storage tasks can be allocated to the node device according to the capacity of different storage devices.

The sensing capability description and management module 2104 is used for describing and managing detection sensing attributes of various sensors included in the node device of the internet of things, and mainly includes summarizing and describing types of physical quantities which can be sensed by the sensors, summarizing and describing upper and lower limits of the physical quantities which can be sensed by the sensors, and summarizing and describing other attributes of the sensors.

The types of physical quantities which can be sensed by the class sensors are summarized and described, such as a position sensor, a liquid level sensor, an energy consumption sensor, a speed and acceleration sensor, a ray radiation sensor, a heat-sensitive sensor, a humidity-sensitive sensor, a magnetic-sensitive sensor and the like which are commonly used in industrial production, node equipment under different scenes has different physical quantity measurement requirements, such as the liquid level sensor, the ray radiation sensor, the heat-sensitive sensor, the humidity-sensitive sensor and the like are needed under an environment monitoring application scene, and the position sensor, the energy consumption sensor, the speed and acceleration sensor, the magnetic-sensitive sensor and the like are needed under an industrial field data monitoring application scene. Therefore, different types of sensors need to be applied at the moment, and a physical sensor is properly selected according to application scenes and requirements, so that effective industrial internet of things data can be obtained, and proper support is provided for detecting and sensing requirements of node equipment sensors in different scenes conveniently, and the acquisition of the sensor data is also basis and precondition preparation of the communication module and the storage module;

the upper limit and the lower limit of the physical quantity which can be sensed by various sensors are summarized and described, the energy consumption degrees corresponding to the different sensing upper limits and the sensing lower limits of the sensors and the measuring ranges are concerned, the sensors are prevented from exceeding the measuring ranges, proper sensors are selected to distribute proper application tasks, and the power consumption of node equipment is effectively reduced;

the method is characterized in that other attributes of various sensors, such as linearity, sensitivity, resolution, stability and accuracy of the sensors, are summarized and described, the indexes reflect the quality of the sensors, and the proper type of sensors are selected by integrating the indexes, cost, demand scenes and the like, so that the attributes are conveniently integrated to provide proper sensor support for node equipment.

The human-computer interaction capability description and management module 2105 is used for describing and managing functions and utilities of various human-computer interaction related peripherals included in the node device of the internet of things, and mainly comprises the steps of summarizing and describing various attributes of various display devices, summarizing and describing various attributes of various touch devices, summarizing and describing various attributes of various sound card devices and voice recognition devices, and the like.

The method comprises the steps of summarizing and describing various attributes of various display devices, such as indexes supported by the display devices, such as resolution, display refreshing frequency and display card capacity, and the like. Summarizing and managing the display equipment, and providing appropriate display equipment support for the node equipment by conveniently integrating the attributes in the industrial Internet of things;

the various attributes of various touch devices are summarized and described, such as the sensitivity of the touch device, the touch type, the strength of the touch vibration signal and other indexes. If in the application scene of industrial field data monitoring, the feedback of real-time monitoring data can be realized, so that workers can conveniently use the touch control equipment for real-time operation and correct and process abnormal data in time. Summarizing and managing the touch equipment, and providing proper touch equipment support for the node equipment;

the method summarizes and describes various attributes of various sound card devices and voice recognition devices, such as indexes of sampling precision, sampling frequency, digital signal processor characteristics, MIDI characteristics and the like supported by the sound card devices and the voice recognition devices, and provides a more efficient and friendly interaction mode for terminal devices in an application scene of the industrial Internet of things. And summarizing and managing the sound card equipment and the voice recognition equipment, and providing proper sound card equipment and voice recognition equipment support for the node equipment.

The common real-time microkernel service subsystem 220, as shown in fig. 5, is used to perfect some cores or pluggable functions of the kernel of the operating system on the basis of the hardware resource description and management subsystem, and provide common services for the kernel. The common real-time microkernel service subsystem 220 comprises a process management module 2201, a memory management module 2202, a communication protocol management module 2203, a man-machine interaction support management module 2204 and a data organization module 2205, wherein the process management module and the memory management module are the cores of the microkernel subsystem, and the communication protocol management module, the man-machine interaction support module and the data organization module are pluggable common kernel services designed according to application requirements.

The process management module 2201 is a module for allocating resources to each process by an operating system, allowing the processes to share and exchange information, protecting resources owned by each process, enabling the processes to be synchronized, and performing real-time scheduling by combining application scenarios of the industrial internet of things. The method mainly comprises the steps of managing process state change of the process, managing process switching mode, managing process scheduling algorithm and managing interrupt and exception mechanisms suitable for ARM and RISC-V architecture processors.

And the process state of the management process is changed, and the process state comprises a process creation state, a process blocking state, a process ready state, a process termination state, a process running state and the like. The state change can also be divided into six types, namely creation state to ready state of the process, ready state to running state of the process, running state to blocking state of the process, blocking state to ready state of the process, running state to ready state of the process and running state to termination state of the process. The change management of the process state is realized from the software level programming, and basic support is provided for the normal work and operation of the process on the node equipment;

the management process switching modes such as deprivation preemptive mode and non-deprivation non-preemptive mode are that the deprivation preemptive mode is beneficial to processing real-time and more urgent tasks, but context overhead caused by frequent switching is large, the non-deprivation non-preemptive mode is suitable for a special system and is easy to realize, but a certain process possibly occupies processor resources for a long time, so that starvation of other processes is caused. Comprehensively considering process characteristics and requirements, configuring a proper switching mode for different node equipment processes, and meeting the requirement of switching the node equipment processes;

the management process scheduling algorithm comprises a time slice wheel scheduling algorithm, a first-come first-serve algorithm, a short job priority scheduling algorithm, a multi-stage feedback queue scheduling algorithm, a high-response-ratio priority scheduling algorithm and the like. The first-come first-serve algorithm selects one or more processes which enter the queue first from the backup job queue for scheduling operation in each scheduling, and is characterized in that the algorithm is simple, the basic fairness can be realized, but the average waiting time of the processes is very long; the short job priority algorithm selects the process with the shortest time to perform scheduling operation each time, and has the advantage of shortest average waiting time, but the actual operation is difficult to realize due to the fact that the time consumption of the process is difficult to estimate; the high-response-ratio priority scheduling algorithm integrates priority and time factors, not only takes short jobs into account, but also considers the sequence of arrival of the jobs, so that long jobs cannot be served for a long time, a better compromise is realized, and the calculation before each scheduling increases the system overhead; the time slice round-robin scheduling algorithm arranges all ready processes into a queue according to the principle of first coming and first serving, and allocates a time slice for the processes to run in each scheduling, so that the requirements of all the processes can be met within a period of time, the real-time performance is good, but the overhead of the system can be increased due to frequent switching; the multi-stage feedback queue scheduling algorithm is a better process scheduling algorithm, various information of processes is comprehensively considered, a plurality of priority queues are set, and the method can better meet the requirements of various processes and configure a proper process scheduling mode for different node equipment. The algorithm of process scheduling is a core part in process management, and the advantages and disadvantages of the process scheduling algorithm in different scenes directly influence the running condition of the process of the operating system;

the management is suitable for interrupt and exception mechanisms of ARM and RISC-V architecture processors, and mainly comprises an interrupt and exception response mechanism and an interrupt and exception processing program processing mechanism, wherein the interrupt exception mechanism is one of core mechanisms in an operating system, and the capability of a computer needs to be fully exerted through the cooperation of software and hardware. Taking the RISC-V architecture as an example, the stack used by the normal user program and the stack used by the abnormal and interrupted stack which are not listed separately in the RISC-V need to be switched by software. For ecall exception, a stack pointer does not need to be switched, and the field is directly saved in a task stack. For interrupt processing, a stack pointer can be switched, and a field is saved in a system stack, or the field can be saved in a task stack like an ecall exception processing method. And a software processing mechanism corresponding to hardware of the ARM and RISC-V architecture processor is formed, and the requirement of interrupt exception handling is met.

The memory management module 2202 is a module that designs a corresponding memory management method by combining the architectural features of the ARM and RISC-V itself according to the situation of configuring SRAM and DRAM resources on the node device. The method mainly comprises the steps of managing the organization form of an address space in the memory and managing and reducing the algorithm of internal and external fragments and internal fragments of the memory.

The organization of the address space in the management memory may, for example, be based on whether the microcontroller provides an MMU, selecting a single address space memory management mechanism and a multiple address space memory management mechanism. The single address space memory management mechanism does not need to introduce a virtual memory mechanism, has better real-time support, can not cause non-deterministic I/O blocking time, and can not cause the problem of unavailable memory management because a processor lacks an MMU (memory management unit), but the memory management of the single address space easily causes the program to infringe the address space of other programs during the development of the program, so that a programmer needs to continuously maintain the physical memory shared by all tasks, and the development difficulty and period are increased. The memory management of the multi-address space introduces a virtual memory mechanism, so that the application can run in a process address space which is much larger than an actual physical memory, a demand paging strategy is realized, separate running spaces of different processes are ensured, and the reliability and the safety of the whole node operating system are improved. Whether a virtual memory mechanism is needed or not, the difficulty and the period of development, the reliability and the safety of a system and the like can be comprehensively considered, and a proper address space organization form is selected to provide basic support for the memory management of node equipment;

the management reduces internal fragments and external fragments of the memory, and is mainly realized by reasonably dividing the memory size management granularity such as a memory pool, a memory block, a memory area and the like and integrating the static management and dynamic management modes of the memory. The method has great help for the Internet of things embedded node equipment with very limited memory capacity and higher requirements on cost and energy consumption.

The communication protocol management module 2203 is a very important part in the node device operating system, and is a foundation and guarantee for realizing industrial interconnection and data transmission. Including mainly the implementation of managing various protocols.

The implementation modes of managing various protocols, such as Wi-Fi, NB-IoT, LoRa, Bluetooth and the like, in the physical layer, the network layer and the application layer are convenient for shielding bottom layer protocol features on different node equipment of the Internet of things, uniformly implementing details of communication and transmission protocols of each layer, and providing basic support for communication among the node equipment

The human-computer interaction support management module 2204 is a module which is built on the basis that a hardware resource description layer shields hardware details of various display devices and touch devices, and the usability and the visual friendliness of a node device operating system are embodied in a common kernel service layer in a centralized manner. The method mainly comprises the following steps:

the management window management and the basic controls thereof, such as window cutting, window receiving events, heap memory and timing management of the window, message circulation mechanism and communication between windows, adopt a window management technology to realize multi-window support, allow a user to display contents in different window areas which can be overlapped, and provide basic human-computer interaction functional support for node equipment;

the management GUI controls can be touch-control GUI controls different from the mechanisms and mechanisms of traditional window controls, field component GUIs suitable for industrial application scenes and industrial production state simulation GUIs. The core layer of the algorithm for realizing the functions related to the GUI of the node operating system consists of a graphic device interface, a resource management unit, a window management system and a message management unit. The graphic equipment interface is mainly responsible for information exchange between the system and the drawing program and processes the graphic and image output of all programs. When the program needs to communicate with the display hardware, the display hardware can be indirectly accessed using numerous functions provided by the graphical device interface without concern for the specific physical device type. The resource management unit is responsible for managing the memory heap and the timer. The window management system is responsible for creating, deleting and managing various windows, realizing various predefined window (control) logics, and supporting window clipping to ensure the correct display of multiple windows and the generation and processing of multiple window logic events. The message management unit takes a message driving mechanism as a core and is responsible for defining, distributing and processing all GUI events and supporting the communication between GUI objects and the communication between a GUI system and a GUI external system. The node operating system man-machine interaction support module provides complete GUI support, presents the GUI support to a user in a modular structure mode, and is convenient to configure and customize;

the interactive capability of the management voice and the equipment refers to that under the condition of low requirements on real-time performance and control precision, corresponding voice function support is added, so that voice support is provided for the node equipment conveniently, and more friendly man-machine interaction experience is provided for users;

the data organization module 2205 represents, organizes and dumps data obtained by the hardware with storage capability and the hardware with sensing capability according to a predetermined protocol. The method mainly comprises the steps of researching and developing a data storage mode in an industrial scene, researching and developing a lightweight file system and core file service support, researching and developing a lightweight database system support and a key value system support.

The research and development data are stored in an industrialized scene, such as a mode of storing the research and development data on a cloud platform, a mode of storing the research and development data on node equipment and the like. The data acquired from the industrial Internet of things are complicated in types and large in data quantity, and the storage of industrial big data on the node equipment is the premise of data analysis and decision making of the industrial Internet of things;

research and develop a lightweight file system and a core file service support, wherein the file system is a carrier for bearing a data storage task and provides support for the data storage service;

and developing lightweight database system support and key value system support.

The common library and basic development tool support subsystem 230, as shown in fig. 6, mainly provides an interface for upper layer applications. Including a common library support module 2301 and a basic development tool support module 2302.

The common library support module 2301 advantageously allows industrial applications to easily adapt to RISC-V, ARM or other architectures, while allowing industrial applications to be easily readable and exemplary, and allowing flexible tradeoffs in accuracy, performance, and size. The public library support module is mainly adapted to basic mathematic libraries, program diagnosis libraries, character classification libraries, floating point operation libraries, basic input and output operation libraries, character string operation libraries, special industry libraries for specific industrial application fields and the like.

The basic development tool supports a module 2302, and the basic tool is the basic and necessary requirement for supporting the application of the industrial internet of things by the node operating system. The basic development tool support module is mainly adapted to text editing tools, compiling tool chains, engineering construction tools, debugging tools and the like.

Fig. 7 is a schematic structural diagram of a node device management system apparatus according to a first embodiment of the present application. The embodiment of the application provides a node equipment management device 300 based on the industrial internet of things, which manages various node equipment and corresponding resources of the industrial internet of things, and mainly comprises the following four units: a hardware resource description unit 301, a kernel service providing unit 302, a data transmission communication unit 303, and a software application service unit 304.

The hardware resource description unit 301 mainly describes computing power, communication capability, storage capability, sensing capability, human-computer interaction capability, and the like of hardware of the node device, and is intended to adopt a resource tree description scheme. The following five types of information are specifically described: architecture, category, number and machine mode of the CPU; manufacturer, address, offset, node information of the memory; various bus support and bridging information; interrupt controllers and interrupt usage descriptions; basic input/output pins, and the like.

Preferably, three texts are adopted to complete description and description of a resource tree of the hardware resource, the first text is text description of a plurality of products corresponding to a certain type of SoC and a common part corresponding to a circuit board, the second text is text description of the hardware resource on a certain single node, and the third text is a binary file generated by compiling when the two types of texts are transmitted to a kernel of a node device operating system.

Preferably, the first two texts are organized by adopting a tree structure, one text has only one root node, sub-nodes are connected below the root node and are connected below the sub-nodes as appropriate, and the attribute values of the nodes can be diversified, such as character string types, unsigned integer types, binary systems or null values. The types of the node attributes are to be described as compatible attributes, interrupt attributes, address translation attributes and the like. And designing a corresponding analysis data structure for the third compiling generated text, wherein the analysis data structure comprises a device tree magic number, a device tree size, a device tree version, a compatible version number, a reserved memory area, a CPUID (compact peripheral device identifier) for starting a processor, start and end information of hardware equipment, mark information and the like.

The kernel service providing unit 302 includes a kernel service part for process scheduling and memory management and a communication protocol, data organization, and a human-computer interaction support non-kernel service part, and is intended to adopt a software defined mode to maximally offload the kernel service to related functional hardware.

Preferably, the kernel service unit adopts a scalable kernel technology for constructing a node operating system. The scalable unified kernel which can be flexibly customized is constructed, and the ecological growth of the terminal node operating system is facilitated. Through unified description and modeling, different bottom hardware and functional components are subjected to 'standardized' list presentation, differences among the different bottom hardware and functional components are shielded, and a plurality of large classes of typical universal hardware models are described, so that a unified universal functional interface is formed. The scalable kernel only satisfies basic process scheduling and communication functions on sensor devices with limited processor and memory resources. On a high-end intelligent device, the scalable kernel has complete process management, memory management and storage management, realizes various complex network communication protocols and human-computer interaction functions, and can realize functions of voice image recognition, natural language processing and the like in a certain scale on the support of intelligent application. In technical implementation, constructing a scalable kernel can be accomplished from a compilation kernel and a selective loading of binary modules. When the kernel size is required to be 10K or 8K or smaller, deep clipping is required according to the application target, and then recompilation is performed. Selecting a method for loading the binary modules, predefining all the binary modules in a certain configuration file, and loading the required binary modules according to a method of a file switch.

Preferably, the kernel service unit adopts an extensible function technology for constructing a node operating system. The node operating system itself should be a unified system software framework on which to define unified programming interfaces and specifications. Following these unified programming interfaces and specifications, new functions and new hardware can be easily incorporated into the operating system management. The expandability is integrated into the design of a node operating system, and in terms of technical implementation, mechanisms such as Kconfig of systems such as multiplexing Linux and the like, a device management mechanism using a resource tree or a bus tree, and a device driver and other functional modules are dynamically loaded. The application and some of the less common binary modules can be stored on a terminal with an external storage medium and loaded in a dynamic manner when requested by the application. Particularly, for a file system, a part of network protocol stacks should be decoupled with the process management and the memory management of the kernel of the node operating system to the maximum extent, so that effective separation is realized, and the remote management and upgrading functions are provided, so that the maintenance cost of each terminal device can be reduced to the maximum extent.

The data transmission communication unit 303 provides data channels between the node devices of the industrial internet of things and between the node devices and the cloud big data platform, so that data can be transmitted between different devices in real time by using various protocols.

Preferably, the data transmission communication unit is intended to use a uniform datagram format communication technique. Therefore, a set of datagram format protocol which is wide in application range and easy to analyze is designed on the application layer, and all devices adopting the protocol can communicate with each other seamlessly. Under the support of such a set of protocol stack, automatic discovery, identification and interconnection of equipment can be further realized, so that the operation complexity of networking is reduced. The datagram consists of a header part and a data part, wherein the data part encapsulates the datagram of each communication protocol, the communication protocol details are shielded upwards, and unified communication is realized. The datagram header is control information added for proper transmission of higher layer data, and mainly includes a protocol version number, a header length, a total length, an identifier, a slice offset, a lifetime, a protocol, a header checksum, a source address and a destination address, and the like. The datagram uses parity and CRC cyclic checks to ensure proper transmission of the datagram header or data portion.

Preferably, the data transmission unit is supposed to adopt a dynamic expansion network technology to improve the defects of the existing Mesh network. Mesh networks allow nodes in the network to be directly connected to each other in a wireless manner, so that the nodes form a Mesh network and can be dynamically and adaptively expanded. In Mesh networks, each message is sent from one node to another node within the coverage of the wireless signal. The message is sent from the starting point and reaches the end point after passing through a plurality of relay nodes, so that the reachable range of the message is greatly increased. The Mesh network has high robustness due to the multi-hop interconnection and the Mesh topology characteristic, and the operation of the whole network cannot be influenced by the fault of a single node or line. The characteristics enable the Mesh network to adapt to various application scenarios, and the networking overhead is small. Particularly, the Mesh network is supported, and besides the characteristics of the Mesh network, the nodes in the used Mesh network can be set as low-power consumption nodes to be matched with a partner node for use. In this configuration, messages received by the low power node while the operation is suspended may be temporarily stored in the partner node. In addition, the network also supports features such as encryption, authentication, etc. to improve security.

The software application service unit 304 provides a common programming interface and a uniform programming model according to different application scenes of the industrial internet of things, solves the problem of programming universality, adopts a mode of combining with a common development tool to revise the interface programming common, realizes interconnection and intercommunication with an industry special library, and provides a proper interface for upper-layer application software.

Preferably, the software application service unit is designed to design a common programming interface facing a node operating system, so as to solve the problem of API (application programming interface) redundant management caused by the complexity of hardware diversity and the change of user requirements, and the following technical scheme is adopted: the method is compatible with the existing POXIS API and C/C + + API, and supports the adaptation of POXIS programs such as Linux and the like to the node operating system of the invention; designing a self-interpretation type API of the node operating system, namely, understanding the API without reading corresponding API documents and guiding an API user to write readable codes; a general function set is described, the operation of all resources is carried out in a consistent mode, the mutual communication between the API interface and the professional public library is realized, and the platform independence is met to the maximum extent.

Preferably, the software application service unit plans to design a hardware-transparent unified programming model, and adopts a strategy different from the traditional collaborative design to construct a hardware-transparent programming model to simplify the work of an editor and a public development tool. A software and hardware cooperation method library mode is adopted to provide support for a unified programming system, a hardware method adopts the same grammar as a software method to carry out packaging, so that the software method is unified to a method form with the same form to form a unified programming model, and designers can carry out programming according to the programming model.

Preferably, the software application service unit is designed to support rich software development toolkits, provides common development components which run on a node operating system platform and are oriented to different application fields, and provides a developer with a choice of reusable software packages. In particular, the field of software package applications to be supported relates to system-related software packages, such as SQLite; multimedia related software packages, such as OpenMV; scripting language-dependent software packages, such as JavaScript; and the Internet of things protocol supports related software packages such as WebSocket, MQTT and the like.

Another embodiment of the present application provides an operating system of an industrial internet of things node, including:

The computing capability description and management module is used for describing and managing computing attributes, and specifically comprises the following steps:

describing the general computing types supported by the microcontroller;

describing an instruction addressing mode supported by a microcontroller;

The communication capability description and management module is used for describing and managing connection attributes and data transmission attributes of various communication modules contained in the node equipment of the internet of things, and specifically comprises the following steps:

describing the transmission protocol of various communication modules;

The storage capacity description and management module is used for describing and managing functions and utilities of various storage devices in the node device of the internet of things, and specifically comprises the following steps:

describing an application scenario of a storage device;

the capacity size of the storage device is described.

The sensing ability description and management module is used for describing and managing detection experience attributes of various sensors contained in the node equipment of the internet of things, and specifically comprises the following steps:

describing the kind of physical quantity sensed by the sensor;

The human-computer interaction capability description and management module is used for describing and managing functions and utilities of various human-computer interaction related peripherals contained on node equipment of the Internet of things, and specifically comprises the following steps:

describing properties of the display device; describing attributes of the touch device; attributes of the sound card device and the voice recognition device are described.

The process management module is used for distributing resources to each process, enabling the processes to share and exchange information, enabling the processes to be synchronous, and carrying out real-time scheduling by combining with an application scene of the industrial Internet of things.

The memory management module is configured to manage memory resources configured on the node device, and specifically configured to:

managing the organization form of the address space in the memory;

managing reduces external fragmentation and internal fragmentation of memory.

The communication protocol management module is used for realizing industrial interconnection and data transmission, and is specifically used for:

implementation of management protocols;

The human-computer interaction support management module is used for: managing window management and its basic controls; managing GUI controls; managing voice interactions.

The data organization module is used for representing, organizing and dumping data obtained by hardware with storage capability and hardware with sensing capability.

Another embodiment of the present application provides a resource management device for an industrial internet of things node, including:

The hardware resource management unit includes:

The kernel service providing unit includes:

The data transmission communication unit includes:

The software application service unit includes:

The numbers of the disclosed embodiments in the embodiments of the present application are merely for description and do not represent the merits of the embodiments. Those of ordinary skill in the art will understand that: the discussion of any embodiment above is meant to be exemplary only, and is not intended to intimate that the scope of the disclosure (including the claims) of the embodiments of the application is limited to these examples; within the context of the embodiments of the present application, also features in the above embodiments or in different embodiments may be combined and there are many other variations of the different aspects of the embodiments of the present application as described above, which are not provided in detail for the sake of brevity. Therefore, any omissions, modifications, substitutions, improvements, and the like that may be made without departing from the spirit and principles of the embodiments of the present application are intended to be included within the scope of the embodiments of the present application.

Those of skill would further appreciate that the various illustrative systems, modules, elements, and steps described in connection with the disclosure herein may be implemented as electronic hardware, computer software, or combinations of both. To clearly illustrate this interchangeability of hardware and software, various illustrative systems, modules, elements, and steps have been described above generally in terms of their functionality. Whether such functionality is implemented as software or hardware depends upon the particular application and design constraints imposed on the overall system. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the disclosure of the embodiments of the present application.

The term "module" is not intended to be limited to a particular physical form. Depending on the particular application, a module may be implemented as hardware, firmware, software, and/or combinations thereof. Furthermore, different modules may share common components or even be implemented by the same component. There may or may not be clear boundaries between the various modules.

The algorithms and displays presented herein are not inherently related to any particular computer, virtual machine, or other apparatus. Various general purpose devices may be used with the teachings herein. The required structure for constructing such a device will be apparent from the description above. In addition, this application is not directed to any particular programming language. It will be appreciated that a variety of programming languages may be used to implement the teachings of the present application as described herein, and any descriptions of specific languages are provided above to disclose the best modes of the present application.

Similarly, it should be appreciated that in the foregoing description of exemplary embodiments of the application, various features of the application are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the disclosure and aiding in the understanding of one or more of the various inventive aspects. However, the disclosed method should not be interpreted as reflecting an intention that: this application is intended to cover such departures from the present disclosure as come within known or customary practice in the art to which this invention pertains. Rather, as the following claims reflect, inventive aspects lie in less than all features of a single foregoing disclosed embodiment. Thus, the claims following the detailed description are hereby expressly incorporated into this detailed description, with each claim standing on its own as a separate embodiment of this application.

It should be understood that, although the steps in the flowcharts of the figures are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and may be performed in other orders unless explicitly stated herein. Moreover, at least a portion of the steps in the flow chart of the figure may include multiple sub-steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, which are not necessarily performed in sequence, but may be performed alternately or alternately with other steps or at least a portion of the sub-steps or stages of other steps.

The above-mentioned embodiments only express the embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present application. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present application shall be subject to the appended claims.

Claims

1. A resource management method for an industrial Internet of things node is characterized by comprising the following steps:

constructing an intelligent operating system based on the described hardware resources of each node of the industrial Internet of things;

the method comprises the steps of describing hardware resources of each node of the industrial Internet of things, wherein the steps of describing computing capacity, communication capacity, storage capacity, perception capacity and interaction capacity of each node of the industrial Internet of things are respectively included;

the computing capacity comprises a general computing type, an assembly language instruction type, an instruction addressing mode, a computing frequency and a clock cycle which are supported by the node; the communication capabilities include communication protocols, transport protocols, and support for protocol conversion supported by the node; the storage capacity comprises application scenes and storage capacity supported by the node; the sensing capability comprises the type and upper and lower limits of physical quantities which can be sensed by the node; the interaction capability comprises a human-computer interaction attribute of the node.

2. The method of claim 1, wherein the general computation classes include description logic operations, arithmetic operations, and shift operations; the assembly language instruction category comprises a description character operation type instruction, a transfer control type instruction, a stack operation type instruction and a multimedia operation type instruction; the instruction addressing mode comprises a description register addressing mode, a base addressing mode and an index addressing mode.

3. The method according to claim 1, wherein constructing an intelligent operating system based on the described hardware resources of the nodes of the industrial internet of things comprises:

4. An operating system of an industrial internet of things node, comprising:

5. The system according to claim 4, wherein the computing capability description and management module is configured to describe and manage computing attributes, and specifically includes:

describing the general computing types supported by the microcontroller;

describing an instruction addressing mode supported by a microcontroller;

6. The system according to claim 4, wherein the communication capability description and management module is configured to describe and manage connection attributes and data transmission attributes of various types of communication modules included in the node device of the internet of things, and specifically includes:

describing the transmission protocol of various communication modules;

7. The system according to claim 4, wherein the storage capability description and management module is configured to describe and manage functions and utilities of various storage devices included in the node device of the internet of things, and specifically includes:

describing an application scenario of a storage device;

the capacity size of the storage device is described.

8. The system according to claim 4, wherein the sensing capability describing and managing module is configured to describe and manage detection experience attributes of various sensors included in the node device of the internet of things, and specifically includes:

describing the kind of physical quantity sensed by the sensor;

9. The system according to claim 4, wherein the human-machine interaction capability description and management module is configured to describe and manage functions and utilities of various human-machine interaction related peripherals included in the node device of the internet of things, and specifically includes:

describing properties of the display device;

describing attributes of the touch device;

attributes of the sound card device and the voice recognition device are described.

10. The system of claim 4, wherein the process management module is configured to allocate resources to the processes, share and exchange information among the processes, synchronize the processes, and perform real-time scheduling in combination with an application scenario of the industrial internet of things.

11. The system according to claim 4, wherein the memory management module is configured to manage memory resources configured on the node device, and is specifically configured to:

managing the organization form of the address space in the memory;

managing reduces external fragmentation and internal fragmentation of memory.

12. The system according to claim 4, wherein the communication protocol management module is configured to implement industrial interconnection and data transmission, and is specifically configured to:

implementation of management protocols;

13. The system of claim 4, wherein the human interaction support management module is configured to: managing window management and its basic controls; managing GUI controls; managing voice interactions.

14. The system of claim 4, wherein the data organization module is configured to represent, organize, and dump data obtained by storage-capable hardware and perception-capable hardware.

15. The utility model provides a resource management device of industry thing networking node which characterized in that includes:

16. The apparatus of claim 15, wherein the hardware resource management unit comprises:

17. The apparatus of claim 15, wherein the core service providing unit comprises:

18. The apparatus of claim 15, wherein the data transmission communication unit comprises:

19. The apparatus of claim 15, wherein the software application service unit comprises: