CN115277778B - Configuration method and device of Internet of things system, electronic equipment and storage medium - Google Patents
Configuration method and device of Internet of things system, electronic equipment and storage medium Download PDFInfo
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- CN115277778B CN115277778B CN202210908786.1A CN202210908786A CN115277778B CN 115277778 B CN115277778 B CN 115277778B CN 202210908786 A CN202210908786 A CN 202210908786A CN 115277778 B CN115277778 B CN 115277778B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/08—Configuration management of networks or network elements
- H04L41/0803—Configuration setting
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/02—Capturing of monitoring data
Abstract
The embodiment of the application provides a configuration method and device of an internet of things system, electronic equipment and a storage medium, wherein the internet of things system comprises a data acquisition layer, the data acquisition layer comprises at least two external equipment, and the method comprises the following steps: acquiring function configuration information of the external equipment, calling a driving interface, and carrying out function configuration on the external equipment according to the function configuration information through the driving interface. The method comprises the steps of obtaining a functional module of the Internet of things system, wherein the functional module is used for realizing the system function of the Internet of things system, sending a data acquisition instruction to a data acquisition layer through a peripheral interface connected with the functional module, and obtaining target acquisition data returned after the data acquisition layer performs data acquisition according to the data acquisition instruction, so that the target acquisition data is sent to the functional module through the peripheral interface, and flexible peripheral configuration can be realized in the Internet of things system.
Description
Technical Field
The present application relates to the field of internet of things, and in particular, to a method and apparatus for configuring an internet of things system, an electronic device, and a storage medium.
Background
In the existing internet of things system framework, corresponding code modules are generally generated according to configuration information of each external device (such as a sensor), the code modules have fixed input and output, and the service logic of the internet of things system is realized by splicing the code modules according to preset rules. In practice, it is found that, because the code structure of the code module is highly encapsulated, the mode cannot flexibly support the customization requirement of more external devices, so how to realize flexible peripheral development in the internet of things system becomes a technical problem to be solved urgently.
Disclosure of Invention
The embodiment of the application mainly aims to provide a configuration method and device of an Internet of things system, electronic equipment and a storage medium, and aims to realize flexible peripheral configuration in the Internet of things system.
To achieve the above object, a first aspect of an embodiment of the present application provides a configuration method of an internet of things system, where the internet of things system includes a data acquisition layer, the data acquisition layer includes at least two external devices, and the method includes:
acquiring function configuration information of the external equipment;
calling a driving interface, and carrying out function configuration on the external equipment according to the function configuration information through the driving interface;
Acquiring a functional module of the Internet of things system, wherein the functional module is used for realizing the system function of the Internet of things system and is connected with the data acquisition layer through a peripheral interface;
sending a data acquisition instruction to the data acquisition layer through the peripheral interface, and acquiring target acquisition data from the data acquisition layer, wherein the target acquisition data is returned after the data acquisition layer acquires data according to the data acquisition instruction;
and sending the target acquisition data to the functional module through the peripheral interface.
In some embodiments, after the obtaining the functional module of the internet of things system and before the sending, by the peripheral interface, a data acquisition instruction to the data acquisition layer, the method further includes: configuring data processing rules for the peripheral interfaces through the functional modules; and determining a data transmission rule from the data processing rules through the peripheral interface, and generating a data acquisition instruction according to the data transmission rule.
In some embodiments, the sending, through the peripheral interface, the target acquisition data to the functional module includes: determining a data packing rule from the data processing rule through the peripheral interface, and packing the target acquisition data according to the data packing rule to obtain packed data; and sending the packed data to the functional module through the peripheral interface.
In some embodiments, before the sending, by the peripheral interface, the data acquisition instruction to the data acquisition layer, the method further includes:
acquiring a data transmission path corresponding to the data acquisition layer through the peripheral interface, and generating routing information according to the data transmission path, wherein the routing information is used for representing the data transmission sequence of all the external devices and the device information of each external device; generating a data acquisition instruction according to the routing information through the peripheral interface, wherein the data acquisition instruction is used for indicating each external device to transmit data according to the routing information after data acquisition;
the step of sending a data acquisition instruction to the data acquisition layer through the peripheral interface and acquiring target acquisition data from the data acquisition layer comprises the following steps:
determining a first device and a second device from the data acquisition layer through the peripheral interface, wherein the first device is an external device positioned at a path starting point in the data transmission path, and the second device is an external device positioned at a path ending point in the data transmission path; and sending a data acquisition instruction to the first equipment through the peripheral interface, and receiving target acquisition data from the second equipment.
In some embodiments, before the obtaining, by the peripheral interface, the data transfer path corresponding to the data acquisition layer, the method further includes: acquiring position information of each external device; and planning paths of all the external devices according to the position information to obtain a data transmission path.
In some embodiments, the data collection instructions include initial character data therein; the step of sending a data acquisition instruction to the data acquisition layer through the peripheral interface and acquiring target acquisition data from the data acquisition layer comprises the following steps: sending a data acquisition instruction to each external device through the peripheral interface, wherein the external device is used for acquiring acquisition data according to the data acquisition instruction and splicing the initial character data with the acquisition data to obtain target acquisition data; and receiving the target acquisition data from the external equipment through the peripheral interface.
In some embodiments, before the obtaining the functional module of the internet of things system, the method further includes: acquiring system development data; generating a functional module according to the system development data, and controlling the functional module through a system task scheduler; and establishing a mapping relation between the functional module and the peripheral interface, and establishing connection between the functional module and the peripheral interface according to the mapping relation.
To achieve the above object, a second aspect of the embodiments of the present application provides a configuration apparatus of an internet of things system, where the internet of things system includes a data acquisition layer, and the data acquisition layer includes at least two external devices, and the apparatus includes:
the acquisition module is used for acquiring the function configuration information of the external equipment;
the calling module is used for calling the driving interface;
the configuration module is used for carrying out functional configuration on the external equipment according to the functional configuration information through the driving interface;
the acquisition module is further used for acquiring a functional module of the internet of things system, wherein the functional module is used for realizing the system function of the internet of things system, and the functional module is connected with the data acquisition layer through a peripheral interface;
the acquisition module is used for sending a data acquisition instruction to the data acquisition layer through the peripheral interface, and acquiring target acquisition data from the data acquisition layer, wherein the target acquisition data is returned after the data acquisition layer acquires data according to the data acquisition instruction;
and the sending module is used for sending the target acquisition data to the functional module through the peripheral interface.
To achieve the above object, a third aspect of the embodiments of the present application proposes an electronic device comprising a memory, a processor, a program stored on the memory and executable on the processor, and a data bus for enabling a connection communication between the processor and the memory, the program, when executed by the processor, implementing the method according to the first aspect.
To achieve the above object, a fourth aspect of the embodiments of the present application proposes a storage medium, which is a computer-readable storage medium, for computer-readable storage, the storage medium storing one or more programs executable by one or more processors to implement the method described in the first aspect.
In the configuration method and device, the electronic equipment and the storage medium of the Internet of things system, the Internet of things system comprises a data acquisition layer, and the data acquisition layer comprises at least two external equipment. On the one hand, according to the function configuration information of the external equipment, the function configuration of the external equipment can be carried out through the driving interface, the function customization development of the peripheral equipment is realized, and the quantity and the type of the peripheral equipment in the Internet of things system are conveniently expanded. Meanwhile, on the other hand, the target acquisition data returned after the data acquisition is carried out by the data acquisition layer can be acquired through the peripheral interface and sent to the functional module, so that the functional module can realize the system function of the Internet of things system according to the target acquisition data, the system realization logic of the whole Internet of things system is not required to be considered during peripheral development, the uploading of the acquisition data can be normally realized, and the flexibility of peripheral configuration is further improved.
Drawings
Fig. 1 is a schematic structural diagram of an internet of things system according to an embodiment of the present application;
fig. 2 is a flowchart of a configuration method of an internet of things system provided by an embodiment of the present application;
FIG. 3 is a flow chart of generating data acquisition instructions in an embodiment of the application;
FIG. 4 is a specific flowchart of step S204 in FIG. 2;
FIG. 5 is a flow chart of another embodiment of the application for generating data acquisition instructions;
fig. 6 is a schematic diagram of an architecture of an internet of things system according to an embodiment of the present application;
fig. 7 is a schematic structural diagram of a configuration device of an internet of things system according to an embodiment of the present application;
fig. 8 is a schematic diagram of a hardware structure of an electronic device according to an embodiment of the present application.
Detailed Description
The present application will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present application more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the application.
It should be noted that although functional block division is performed in a device diagram and a logic sequence is shown in a flowchart, in some cases, the steps shown or described may be performed in a different order than the block division in the device, or in the flowchart. The terms first, second and the like in the description and in the claims and in the above-described figures, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order.
Unless defined otherwise, all 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. The terminology used herein is for the purpose of describing embodiments of the application only and is not intended to be limiting of the application.
First, several nouns involved in the present application are parsed:
the internet of things (Internet of things, ioT), i.e. the internet with everything connected, is a network for connecting any article with the internet through an information sensing device according to a agreed protocol for information exchange and communication so as to realize intelligent identification, positioning, tracking, monitoring and management of the article.
Artificial intelligence (artificial intelligence, AI): is a new technical science for researching and developing theories, methods, technologies and application systems for simulating, extending and expanding the intelligence of people; artificial intelligence is a branch of computer science that attempts to understand the nature of intelligence and to produce a new intelligent machine that can react in a manner similar to human intelligence, research in this field including robotics, language recognition, image recognition, natural language processing, and expert systems. Artificial intelligence can simulate the information process of consciousness and thinking of people. Artificial intelligence is also a theory, method, technique, and application system that utilizes a digital computer or digital computer-controlled machine to simulate, extend, and expand human intelligence, sense the environment, acquire knowledge, and use knowledge to obtain optimal results.
Natural language processing (natural language processing, NLP): NLP is a branch of artificial intelligence that is a interdisciplinary of computer science and linguistics, and is often referred to as computational linguistics, and is processed, understood, and applied to human languages (e.g., chinese, english, etc.). Natural language processing includes parsing, semantic analysis, chapter understanding, and the like. Natural language processing is commonly used in the technical fields of machine translation, handwriting and print character recognition, voice recognition and text-to-speech conversion, information intent recognition, information extraction and filtering, text classification and clustering, public opinion analysis and opinion mining, and the like, and relates to data mining, machine learning, knowledge acquisition, knowledge engineering, artificial intelligence research, linguistic research related to language calculation, and the like.
Information extraction (Information Extraction): extracting the fact information of the appointed type of entity, relation, event and the like from the natural language text, and forming the text processing technology of the structured data output. Information extraction is a technique for extracting specific information from text data. Text data is made up of specific units, such as sentences, paragraphs, chapters, and text information is made up of small specific units, such as words, phrases, sentences, paragraphs, or a combination of these specific units. The noun phrase, the name of a person, the name of a place, etc. in the extracted text data are all text information extraction, and of course, the information extracted by the text information extraction technology can be various types of information.
Based on the above, the embodiment of the application provides a configuration method and device of an internet of things system, electronic equipment and a storage medium, aiming at realizing flexible peripheral configuration in the internet of things system.
The configuration method and device of the internet of things system, the electronic equipment and the storage medium provided by the embodiment of the application are specifically described through the following embodiments, and the configuration method of the internet of things system in the embodiment of the application is described first.
The embodiment of the application can acquire and process the related data based on the artificial intelligence technology. Wherein artificial intelligence is the intelligence of simulating, extending and expanding a person using a digital computer or a machine controlled by a digital computer, sensing the environment, obtaining knowledge, and using knowledge to obtain optimal results.
Artificial intelligence infrastructure technologies generally include technologies such as sensors, dedicated artificial intelligence chips, cloud computing, distributed storage, big data processing technologies, operation/connection systems, mechatronics, and the like. The artificial intelligence software technology mainly comprises a computer vision technology, a robot technology, a biological recognition technology, a voice processing technology, a natural language processing technology, machine learning/deep learning and other directions.
The embodiment of the application provides a configuration method of an Internet of things system, and relates to the technical field of Internet of things. The configuration method of the Internet of things system provided by the embodiment of the application can be applied to the terminal, the server side and software running in the terminal or the server side. In some embodiments, the terminal may be a smart phone, tablet, notebook, desktop, and other electronic devices, etc.; the server side can be configured as an independent physical server, a server cluster or a distributed system formed by a plurality of physical servers, and a cloud server for providing cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communication, middleware services, domain name services, security services, CDNs, basic cloud computing services such as big data and artificial intelligent platforms and the like; the software may be an application or the like that implements a configuration method of the internet of things system, but is not limited to the above form.
Referring to fig. 1, fig. 1 is a schematic structural diagram of an internet of things system according to an embodiment of the application. As shown in fig. 1, the internet of things system at least comprises a data acquisition layer and a terminal 10, wherein the data acquisition layer comprises at least two external devices 11, and the external devices 11 are used for acquiring and capturing state information of external environments or objects. The terminal 10 may establish communication connection with each external device 11 through the communication network 12 and perform data interaction, so as to perform intelligent control and automatic management on the terminal 10 itself or specific objects (such as articles and devices) according to the collected data of the external device 11, where the communication network 12 includes but is not limited to a WiFi network, a bluetooth network, a ZigBee network, a 4G network, and the like. The external device 11 may include, but is not limited to, a sensor, a GPS, a button, a camera, a display screen, a microphone, a speaker, and other input/output devices. Fig. 1 is only an example and does not constitute a specific limitation on the number and types of terminals and external devices. For ease of understanding, the following description will be given by way of example of the terminal 10.
The application is operational with numerous general purpose or special purpose computer system environments or configurations. For example: personal computers, server computers, hand-held or portable devices, tablet devices, multiprocessor systems, microprocessor-based systems, set top boxes, programmable consumer electronics, network PCs, minicomputers, mainframe computers, distributed computing environments that include any of the above systems or devices, and the like. The application may be described in the general context of computer-executable instructions, such as program modules, being executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform particular tasks or implement particular abstract data types. The application may also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote computer storage media including memory storage devices.
In the embodiments of the present application, when related processing is performed according to user information, user behavior data, user history data, user location information, and other data related to user identity or characteristics, permission or consent of the user is obtained first, and the collection, use, processing, and the like of the data comply with related laws and regulations and standards of related countries and regions. In addition, when the embodiment of the application needs to acquire the sensitive personal information of the user, the independent permission or independent consent of the user is acquired through popup or jump to a confirmation page and the like, and after the independent permission or independent consent of the user is definitely acquired, the necessary relevant data of the user for enabling the embodiment of the application to normally operate is acquired.
Referring to fig. 2, fig. 2 is a flowchart of a configuration method of the internet of things system according to an embodiment of the present application, where the method in fig. 2 may include, but is not limited to, steps S201 to S205.
Step S201: and acquiring function configuration information of the external equipment.
In the embodiment of the present application, the function configuration information is used to develop or configure new functions of the external device, which may include a general interface, a software development kit (software development kit, SDK), encapsulated function codes, a visualization tool, and the like, which is not particularly limited.
In some alternative implementations, the terminal may obtain the function configuration information of each external device when detecting the peripheral trigger event. The external trigger event includes, but is not limited to, a new external device accessing the internet of things system, a decrease or a change of external devices in the internet of things system, and the like, and can trigger a configuration update of the internet of things system.
Step S202: and calling a driving interface, and carrying out function configuration on the external equipment according to the function configuration information through the driving interface.
In the embodiment of the application, the driving interface can be an application programming interface (application programming interface, API), and the terminal performs data interaction with the external device through the driving interface. The drive interface provides standard methods of programmatically accessing data of an external device, including but not limited to: class, type, and attribute of the external device; a data format of the external device; an event mechanism for receiving data from an external device.
Step S203: and acquiring a functional module of the Internet of things system, wherein the functional module is used for realizing the system function of the Internet of things system and is connected with the data acquisition layer through a peripheral interface.
In an embodiment of the present application, the system functions represent general system function logic, which includes, but is not limited to, monitoring type (such as logistics monitoring and environment monitoring), query type (such as intelligent retrieval and remote meter reading), control type (such as intelligent traffic, intelligent home and intelligent street lamp, etc.), scanning type (such as mobile wallet and highway toll collection), etc. function types. The functional module can be a universal module independently developed based on a system task scheduler, and can provide processing functions such as data analysis, situation judgment, control decision and the like so that users can directly call or slightly modify the system task scheduler in different terminals for multiplexing. The system task scheduler is used for scheduling system tasks of the Internet of things system.
Prior to step S201 of some embodiments, system development data may be acquired, and a functional module may be generated according to the system development data, so that the functional module is controlled in real time through a system task scheduler. The system development data may be code, configuration and debugging data, etc. provided by a developer for developing the internet of things system. Based on the data, the mapping relation between the functional module and the peripheral interface is established, so that the functional module is connected with the corresponding peripheral interface, and accurate data acquisition is realized through the peripheral interface.
Step S204: and sending a data acquisition instruction to the data acquisition layer through the peripheral interface, and acquiring target acquisition data returned after the data acquisition layer acquires the data according to the data acquisition instruction.
In the embodiment of the present application, the peripheral interface may be a UART interface, a GPIO interface, an SPI interface, an IIC interface, or a PWM interface, which is not limited in particular.
Step S205: and sending the target acquisition data to the functional module through the peripheral interface.
Based on step S205, the functional module may perform data analysis and processing on the target collected data of the data collection layer by using the pre-constructed functional logic model, so as to dynamically manage the system function of the internet of things system.
In the steps S201 to S205 shown in the embodiment of the present application, on the one hand, according to the function configuration information of the external device, the function configuration of the external device may be performed through the driving interface, so as to implement the function customization development of the peripheral device, and facilitate the expansion of the number and types of the peripheral devices in the internet of things system. Meanwhile, on the other hand, the target acquisition data returned after the data acquisition layer acquires the data through the peripheral interface is also acquired and sent to the functional module, so that the functional module realizes the system function of the Internet of things system according to the target acquisition data, and therefore, the system realization logic of the whole Internet of things system is not required to be considered during peripheral development, the uploading of the acquisition data can be normally realized, and the flexibility of peripheral development is further improved.
Referring to fig. 3, fig. 3 is a flowchart illustrating a method for generating a data acquisition command according to an embodiment of the application. As shown in fig. 3, after step S203, and before step S204 of some embodiments, the following steps S301 to S302 may be further included, but are not limited thereto.
Step S301: and configuring data processing rules for the peripheral interfaces connected with the functional modules through the functional modules.
In step S301, the data processing rules may be set and adjusted by the openers according to the system function, and the data processing rules may include, but are not limited to, a data sending rule and a data packaging rule, where the data sending rule is used to specify a condition for triggering data collection, a specific collection rule, and the like, and the data packaging rule is used to instruct the peripheral interface to package the collected data into a data packet with a specified data format for processing by the functional module.
Step S302: and determining a data transmission rule from the data processing rules through the peripheral interface, and generating a data acquisition instruction according to the data transmission rule.
The data collection instruction may include data collection frequency and time interval, and may also include the number and type of external devices, and identification information (such as a device code) and a location range for determining the external devices, which are not limited specifically.
Further, in step S205 of some embodiments, step S205 may specifically be: and determining a data packaging rule from the data processing rules through the peripheral interface, and packaging the target acquisition data according to the data packaging rule to obtain packaged data. And sending the packed data to the functional module through the peripheral interface. That is, the data received by the functional module from the peripheral interface satisfies the unified data format, without considering the number of collected data or the types and numbers of external devices, and the like, so that the influence of the addition and modification of the external devices in the internet of things system on the data processing of the functional module can be reduced.
Referring to fig. 4, fig. 4 is a specific flowchart of step S204 in fig. 2. As shown in fig. 4, in step S204 of some embodiments, when the initial character data is included in the data collection instruction, step S204 includes, but is not limited to, the following steps S401 to S402.
Step S401: and sending a data acquisition instruction to each external device through the peripheral interface, wherein the external device is used for acquiring acquisition data according to the data acquisition instruction and splicing the initial character data with the acquisition data to obtain target acquisition data.
It is understood that the initial character data is specific character data specified by the functional module. In step S401, exemplarily, assuming that the initial character data is data, if the external device is a temperature sensor, the temperature sensor may collect the temperature data tem, and splice the initial character data and the temperature data into target collected data, i.e., data+tem.
Step S402: and receiving target acquisition data from the external equipment through the peripheral interface.
Therefore, based on the steps S401 and S402, each external device in the internet of things system can splice the respective acquired data and the initial character data into the target acquired data for returning to the peripheral interface, so that the peripheral interface can also quickly identify the acquired data of each external device from the target acquired data, and thus the acquired data of all the external devices are packaged and sent to the functional module. The external interface is used as a bridge for interaction between the external equipment and the functional module, and the development of the data acquisition part can be completed only by completing the design of the external interface according to rules.
Referring to fig. 5, fig. 5 is a flowchart illustrating another embodiment of generating a data acquisition command. As shown in fig. 5, after step S203 and before step S204 of other embodiments, generating the data acquisition instruction through the peripheral interface may include, but is not limited to, the following steps S501 to S503.
Step S501: and acquiring a data transmission path corresponding to the data acquisition layer through the peripheral interface, and generating route information according to the data transmission path.
In the embodiment of the present application, the routing information is used to indicate the data transmission sequence of all the external devices and the device information of each external device, where the device information may include, but is not limited to, the device number, serial number, or communication address (such as ZigBee address) of the external device. It will be appreciated that for any external device, if the device information of another external device is known, the former external device may transfer data to the latter external device.
Further, prior to step S501 of some embodiments, at least the following steps may be included, but are not limited to: position information of each external device is acquired. And planning paths of all external devices according to the position information to obtain a data transmission path. The manner of acquiring the location information may include, but is not limited to, any of the following: ranging-based positioning algorithms such as received signal strength indication positioning (received signal strength indicator, RSSI), angle of arrival (AOA), time of arrival (TOA), time difference of arrival (time difference of arrival, TDOA), etc.; range-based positioning algorithms, such as centroid positioning algorithm, DV-Hop, amorphous, APIT, MDS-MAP, and the like. Optionally, path planning is performed for all external devices, including at least but not limited to the following steps: the method comprises the steps of acquiring position information of a terminal and position information of each external device, and acquiring two external devices closest to the terminal from all the external devices to serve as a first device and a second device respectively. And generating various reference transmission paths for all external devices by taking the first device as a path starting point and the second device as a path ending point. According to the position information of each external device and the data transmission direction of each reference transmission path, the data transmission time length corresponding to each reference transmission path is obtained, and therefore the reference transmission path with the shortest data transmission time length is taken as the data transmission path.
Before step S501 of other embodiments, the following steps may also be included: and determining the communication cost between the terminal and each external device in the data acquisition layer according to the routing algorithm, and determining the communication cost between each external device in the data acquisition layer and other external devices. Based on all external devices in the data acquisition layer, generating a plurality of preset transfer paths, and calculating the target cost corresponding to each preset transfer path according to the communication cost and the data transfer direction of each preset transfer path, thereby taking the preset transfer path with the minimum target cost as the data transfer path. Therefore, the data transmission path with the minimum communication cost is selected to collect and transmit the data by considering the loss degree of the forwarded data and the energy of the equipment, so that the energy of the equipment can be effectively utilized. The communication cost is used for representing the communication energy consumption between two devices, and optionally, the calculation mode of the communication cost is as follows:
E{d(x,y)}＝kd(x,y) 2 k is a constant, C (x,y) For the communication cost between the device x and the device y, the device x may be any external device in the internet of things system, the device y may be other external devices except the device x in the internet of things system, d (x, y) is the distance between the device x and the device y, E { d (x, y) } is the energy loss between the device x and the device y, and E (x) is the original residual energy of the device x.
Exemplary, if the preset transfer path is device a→setB-equipment C, the target cost of the preset transmission path is C (a,b) +C (b,c) 。
Prior to step S501 of further embodiments, the following steps may be further included: acquiring acquisition parameters corresponding to each external device in the data acquisition layer, wherein the acquisition parameters represent the types of data acquired by the external devices. The method comprises the steps of obtaining sequencing information appointed for all acquisition parameters, determining sequencing values of each acquisition parameter according to the sequencing information, and further determining data transmission sequence of external equipment corresponding to the acquisition parameters according to the sequencing values. The sorting information may be manually specified and adjusted, or may be related to the sequence of the collection conditions or time conditions of the various collection parameters, which is not particularly limited. For example, assuming that the data acquisition layer includes a temperature sensor and a humidity sensor, the temperature sensor is used for acquiring temperature data, the humidity sensor is used for acquiring humidity data, if an environmental humidity value at a specified temperature T needs to be acquired, the ordering information may be "1, a temperature parameter, 2 and a humidity parameter", and correspondingly, a data transmission path of the data acquisition layer is the temperature sensor→the humidity sensor. Therefore, according to the type of the acquired data, the data acquisition and transmission sequence is reasonably distributed for each external device, and the system can flexibly adapt to the actual functional requirements of the Internet of things system.
Step S502: and generating a data acquisition instruction according to the routing information through the peripheral interface.
The data acquisition instruction is used for indicating each external device to transmit data according to the routing information.
Accordingly, step S204 may include, but is not limited to, at least the following steps: and determining a first device and a second device from the data acquisition layer through the peripheral interface, wherein the first device is an external device positioned at the starting point of the data transmission path, and the second device is an external device positioned at the ending point of the data transmission path. Based on this, a data acquisition instruction is sent to the first device and target acquisition data is received from the second device through the peripheral interface. In particular, the data transfer step of the data acquisition layer may comprise: the first equipment performs data acquisition according to a data acquisition instruction sent by the peripheral interfaceAnd obtaining a first acquisition result, and determining the external equipment S2 with the data transmission sequence of the second bit and the equipment information of the external equipment S2 from the routing information, so as to transmit the first acquisition result and the data acquisition instruction to the external equipment S2. Based on this, the external device S whose data transfer order is the ith bit i Data acquisition is carried out according to the data acquisition instruction and the ith-1 acquisition result to obtain the ith acquisition result, and then external equipment S with the data transmission sequence of the (i+1) th bit is determined from the routing information i+1 External device S i+1 Thereby transmitting the ith acquisition result and the data acquisition instruction to the external device S i+1 Wherein i.epsilon.i2, N-1]N is the number of external devices in the data acquisition layer, the external device S i+1 Indicating an external device whose data transfer order is the i+1th bit.
In some optional implementations, the data acquisition instruction further includes initial character data, so that the first device may specifically splice the acquired data of the first device and the initial character data into a first acquisition result, and the external device S in the data acquisition layer i The external device S can be specifically used i The acquired data of each external device is spliced with the i-1 acquired result to form the i acquired result, so that the acquired data of each external device is spliced according to the data transmission sequence, and the data analysis is convenient.
For example, assuming that the data acquisition layer includes external devices S1, S2, and S3, if the data transmission path is s1→s2→s3, the external device S1 is located at the path start point and may be used as the first device; the external device S3 is located at the end of the path and can be used as a second device. In practical application, the peripheral interface sends a data acquisition instruction to the external device S1, and the external device S1 splices the acquired data D1 of itself with the initial character data according to the data acquisition instruction to obtain spliced data C1. Secondly, the external device S1 transmits the spliced data C1 to the external device S2, and the external device S2 splices the acquired data D2 and the spliced data C1 to obtain spliced data C2. And then, the external device S2 transmits the spliced data C2 to the external device S3, and the external device S3 splices the acquired data D3 of the external device S3 with the spliced data C2 to obtain target acquired data. Finally, the external device S3 returns the target acquisition data to the peripheral interface to complete the data transmission flow of the data acquisition layer.
Therefore, based on the steps S501 to S502, the data transmission path of each external device in the data acquisition layer can be effectively planned, and the method is suitable for diversified data acquisition environments, forms flexible and variable sensing node topology, and optimizes the collaborative sensing effect of the data acquisition layer.
From the view point of the system architecture diagram, please refer to fig. 6, fig. 6 is an architecture diagram of an internet of things system according to an embodiment of the present application. As shown in fig. 6, the internet of things system may further be divided into a frame layer, a system layer and a hardware layer, where the frame layer includes all external devices, peripheral interfaces and functional modules, and is mainly used to implement data acquisition and processing of the internet of things system. The system layer comprises a driving interface and a system task scheduler, and is mainly used for realizing overall task scheduling of the Internet of things system and function development work of each external device. While the hardware layer includes a variety of hardware interfaces including, but not limited to, ADC, GPIO, URAT, and the like.
Referring to fig. 7, the embodiment of the present application further provides a configuration device of an internet of things system, which can implement the configuration method of the internet of things system, where the device includes an obtaining module 701, a calling module 702, a configuring module 703, an acquiring module 704, and a sending module 705, where:
An obtaining module 701, configured to obtain functional configuration information of an external device;
a calling module 702, configured to call a driving interface;
a configuration module 703, configured to perform functional configuration on the external device according to the functional configuration information through the driving interface;
the acquiring module 701 is further configured to acquire a functional module configured for an internet of things system, where the functional module is configured to implement a system function of the internet of things system;
the acquisition module 704 is configured to send a data acquisition instruction to the data acquisition layer through a peripheral interface connected to the functional module, and acquire target acquisition data returned after the data acquisition layer performs data acquisition according to the data acquisition instruction;
and the sending module 705 is configured to send the target acquisition data to the functional module through the peripheral interface.
The specific implementation manner of the configuration device of the internet of things system is basically the same as the specific embodiment of the configuration method of the internet of things system, and is not repeated here.
The embodiment of the application also provides electronic equipment, which comprises: the system comprises a memory, a processor, a program stored on the memory and capable of running on the processor, and a data bus for realizing connection communication between the processor and the memory, wherein the program is executed by the processor to realize the configuration method of the Internet of things system. The electronic equipment can be any intelligent terminal including a tablet personal computer, a vehicle-mounted computer and the like.
Referring to fig. 8, fig. 8 illustrates a hardware structure of an electronic device according to another embodiment, the electronic device includes:
the processor 801 may be implemented by a general purpose central processing unit (central processing unit, CPU), a microprocessor, an application specific integrated circuit (application specific integrated circuit, ASIC), or one or more integrated circuits, etc. for executing related programs to implement the technical solution provided by the embodiments of the present application;
the memory 802 may be implemented in the form of a Read Only Memory (ROM), a static storage device, a dynamic storage device, or a random access memory (random access memory, RAM). The memory 802 may store an operating system and other application programs, and when the technical solution provided in the embodiments of the present disclosure is implemented by software or firmware, relevant program codes are stored in the memory 802, and the processor 801 invokes a configuration method for executing the internet of things system according to the embodiments of the present disclosure;
an input/output interface 803 for implementing information input and output;
the communication interface 804 is configured to implement communication connection between the device and other devices, and may implement communication in a wired manner (e.g., USB, network cable, etc.), or may implement communication in a wireless manner (e.g., mobile network, WIFI, bluetooth, etc.);
A bus 805 that transfers information between the various components of the device (e.g., the processor 801, the memory 802, the input/output interface 803, and the communication interface 804);
wherein the processor 801, the memory 802, the input/output interface 803, and the communication interface 804 implement communication connection between each other inside the device through a bus 805.
The embodiment of the application also provides a storage medium which is a computer readable storage medium and is used for computer readable storage, the storage medium stores one or more programs, and the one or more programs can be executed by one or more processors so as to realize the configuration method of the Internet of things system.
The memory, as a non-transitory computer readable storage medium, may be used to store non-transitory software programs as well as non-transitory computer executable programs. In addition, the memory may include high-speed random access memory, and may also include non-transitory memory, such as at least one magnetic disk storage device, flash memory device, or other non-transitory solid state storage device. In some embodiments, the memory optionally includes memory remotely located relative to the processor, the remote memory being connectable to the processor through a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The embodiments described in the embodiments of the present application are for more clearly describing the technical solutions of the embodiments of the present application, and do not constitute a limitation on the technical solutions provided by the embodiments of the present application, and those skilled in the art can know that, with the evolution of technology and the appearance of new application scenarios, the technical solutions provided by the embodiments of the present application are equally applicable to similar technical problems.
It will be appreciated by those skilled in the art that the solutions shown in fig. 1-8 are not limiting on the embodiments of the application and may include more or fewer steps than shown, or certain steps may be combined, or different steps.
The above described apparatus embodiments are merely illustrative, wherein the units illustrated as separate components may or may not be physically separate, i.e. may be located in one place, or may be distributed over a plurality of network elements. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
Those of ordinary skill in the art will appreciate that all or some of the steps of the methods, systems, functional modules/units in the devices disclosed above may be implemented as software, firmware, hardware, and suitable combinations thereof.
The terms "first," "second," "third," "fourth," and the like in the description of the application and in the above figures, if any, are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the application described herein may be implemented in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
It should be understood that in the present application, "at least one (item)" means one or more, and "a plurality" means two or more. "and/or" for describing the association relationship of the association object, the representation may have three relationships, for example, "a and/or B" may represent: only a, only B and both a and B are present, wherein a, B may be singular or plural. The character "/" generally indicates that the context-dependent object is an "or" relationship. "at least one of" or the like means any combination of these items, including any combination of single item(s) or plural items(s). For example, at least one (one) of a, b or c may represent: a, b, c, "a and b", "a and c", "b and c", or "a and b and c", wherein a, b, c may be single or plural.
In the several embodiments provided by the present application, it should be understood that the disclosed apparatus and method may be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, and for example, the above-described division of units is merely a logical function division, and there may be another division manner in actual implementation, for example, a plurality of units or components may be combined or may be integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other form.
The units described above as separate components may or may not be physically separate, and components shown as units may or may not be physical units, may be located in one place, or may be distributed over a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in the embodiments of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be embodied in essence or a part contributing to the prior art or all or part of the technical solution in the form of a software product stored in a storage medium, including multiple instructions to cause a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method of the various embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a read-only memory (ROM), a random access memory (random access memory, RAM), a magnetic disk, an optical disk, or the like, which can store a program.
The preferred embodiments of the present application have been described above with reference to the accompanying drawings, and are not thereby limiting the scope of the claims of the embodiments of the present application. Any modifications, equivalent substitutions and improvements made by those skilled in the art without departing from the scope and spirit of the embodiments of the present application shall fall within the scope of the claims of the embodiments of the present application.
Claims (9)
1. The configuration method of the internet of things system is characterized in that the internet of things system comprises a data acquisition layer, the data acquisition layer comprises at least two external devices, and the method comprises the following steps:
acquiring function configuration information of the external equipment;
calling a driving interface, and carrying out function configuration on the external equipment according to the function configuration information through the driving interface;
acquiring a functional module of the Internet of things system, wherein the functional module is used for realizing the system function of the Internet of things system and is connected with the data acquisition layer through a peripheral interface;
acquiring a data transmission path corresponding to the data acquisition layer through the peripheral interface, and generating routing information according to the data transmission path, wherein the routing information is used for representing the data transmission sequence of all the external devices and the device information of each external device;
generating a data acquisition instruction according to the routing information through the peripheral interface, wherein the data acquisition instruction is used for indicating each external device to transmit data according to the routing information after data acquisition;
sending a data acquisition instruction to the data acquisition layer through the peripheral interface, and acquiring target acquisition data from the data acquisition layer, wherein the target acquisition data is returned after the data acquisition layer acquires data according to the data acquisition instruction;
The target acquisition data is sent to the functional module through the peripheral interface;
the method for acquiring target acquisition data from the data acquisition layer comprises the steps of:
determining a first device and a second device from the data acquisition layer through the peripheral interface, wherein the first device is an external device positioned at a path starting point in the data transmission path, and the second device is an external device positioned at a path ending point in the data transmission path;
and sending a data acquisition instruction to the first equipment through the peripheral interface, and receiving target acquisition data from the second equipment.
2. The method of claim 1, wherein after the obtaining the functional module of the internet of things system and before the sending, by the peripheral interface, a data acquisition instruction to the data acquisition layer, the method further comprises:
configuring data processing rules for the peripheral interfaces through the functional modules;
and determining a data transmission rule from the data processing rules through the peripheral interface, and generating a data acquisition instruction according to the data transmission rule.
3. The method of claim 2, wherein the sending the target acquisition data to the functional module via the peripheral interface comprises:
determining a data packing rule from the data processing rule through the peripheral interface, and packing the target acquisition data according to the data packing rule to obtain packed data;
and sending the packed data to the functional module through the peripheral interface.
4. The method according to claim 1, wherein before the obtaining, by the peripheral interface, the data transfer path corresponding to the data acquisition layer, the method further comprises:
acquiring position information of each external device;
and planning paths of all the external devices according to the position information to obtain a data transmission path.
5. The method of claim 1, wherein the data collection instruction includes initial character data; the step of sending a data acquisition instruction to the data acquisition layer through the peripheral interface and acquiring target acquisition data from the data acquisition layer comprises the following steps:
sending a data acquisition instruction to each external device through the peripheral interface, wherein the external device is used for acquiring acquisition data according to the data acquisition instruction and splicing the initial character data with the acquisition data to obtain target acquisition data;
And receiving the target acquisition data from the external equipment through the peripheral interface.
6. The method according to any one of claims 1 to 5, wherein prior to the obtaining the functional module of the internet of things system, the method further comprises:
acquiring system development data;
generating a functional module according to the system development data, and controlling the functional module in real time through a system task scheduler;
and establishing a mapping relation between the functional module and the peripheral interface, and establishing connection between the functional module and the peripheral interface according to the mapping relation.
7. The utility model provides a configuration device of thing networking system, its characterized in that, thing networking system includes the data acquisition layer, the data acquisition layer includes two at least external equipment, the device includes:
the acquisition module is used for acquiring the function configuration information of the external equipment;
the calling module is used for calling the driving interface;
the configuration module is used for carrying out functional configuration on the external equipment according to the functional configuration information through the driving interface;
the acquisition module is further used for acquiring a functional module of the internet of things system, wherein the functional module is used for realizing the system function of the internet of things system, and the functional module is connected with the data acquisition layer through a peripheral interface;
The acquisition module is used for sending a data acquisition instruction to the data acquisition layer through the peripheral interface, and acquiring target acquisition data from the data acquisition layer, wherein the target acquisition data is returned after the data acquisition layer acquires data according to the data acquisition instruction;
the sending module is used for sending the target acquisition data to the functional module through the peripheral interface;
wherein, before the sending, by the peripheral interface, a data acquisition instruction to the data acquisition layer, the apparatus is further configured to:
acquiring a data transmission path corresponding to the data acquisition layer through the peripheral interface, and generating routing information according to the data transmission path, wherein the routing information is used for representing the data transmission sequence of all the external devices and the device information of each external device;
generating a data acquisition instruction according to the routing information through the peripheral interface, wherein the data acquisition instruction is used for indicating each external device to transmit data according to the routing information after data acquisition;
the method for acquiring target acquisition data from the data acquisition layer comprises the steps of:
Determining a first device and a second device from the data acquisition layer through the peripheral interface, wherein the first device is an external device positioned at a path starting point in the data transmission path, and the second device is an external device positioned at a path ending point in the data transmission path;
and sending a data acquisition instruction to the first equipment through the peripheral interface, and receiving target acquisition data from the second equipment.
8. An electronic device comprising a memory, a processor, a program stored on the memory and executable on the processor, and a data bus for enabling a connected communication between the processor and the memory, the program when executed by the processor implementing the steps of the method according to any of claims 1 to 6.
9. A storage medium, which is a computer-readable storage medium, for computer-readable storage, characterized in that the storage medium stores one or more programs executable by one or more processors to implement the steps of the method of any one of claims 1 to 6.
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