CN117609478B - Method, device and equipment for generating application of Internet of things based on natural language - Google Patents

Method, device and equipment for generating application of Internet of things based on natural language Download PDF

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CN117609478B
CN117609478B CN202410091191.0A CN202410091191A CN117609478B CN 117609478 B CN117609478 B CN 117609478B CN 202410091191 A CN202410091191 A CN 202410091191A CN 117609478 B CN117609478 B CN 117609478B
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CN117609478A (en
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严式弘
江盛
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Zhongke Wuqi Nanjing Technology Co ltd
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Zhongke Wuqi Nanjing Technology Co ltd
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F16/33—Querying
    • G06F16/332—Query formulation
    • G06F16/3329—Natural language query formulation or dialogue systems
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16Y—INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
    • G16Y40/00—IoT characterised by the purpose of the information processing
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]

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Abstract

The present disclosure provides a method, a device and equipment for generating an application of internet of things based on natural language, wherein the method comprises: acquiring dialogue information input by a user side; and analyzing the intelligent scene expected by the user according to the dialogue information, generating standard scene description information for describing the intelligent scene, and generating the Internet of things application for realizing the intelligent scene based on the standard scene description information. That is, through the technical scheme of the present disclosure, the user only needs to input dialogue information reflecting the own needs or states, and the back-end server can automatically generate the internet of things application meeting the user needs based on the received dialogue information, so that the user without any programming basis can easily construct the internet of things application of the intelligent scene of the own cardiometer.

Description

Method, device and equipment for generating application of Internet of things based on natural language
Technical Field
The disclosure relates to the technical field of internet of things, in particular to a method, a device and equipment for generating an application of the internet of things based on natural language.
Background
When the Internet of things technology is applied, the technology is widely permeated into aspects of life and work of people, more and more devices and sensors are interconnected and communicated, mass data is formed, and more intelligent life and work environments are provided for people. At present, the application scene of the internet of things is very wide, and the application fields such as intelligent home, smart city, industrial internet of things, internet of vehicles, medical health and the like are widely used.
However, the traditional application development mode of the internet of things generally requires a developer to have a certain programming basis, which makes popularization of the internet of things technology to the public very difficult, and is a main bottleneck for preventing industry development. Therefore, how to enable users without any programming foundation to easily construct the internet of things application of the smart scene of the cardiometer is a technical problem to be solved by the technicians in the field.
Disclosure of Invention
In view of this, the present disclosure provides a method, an apparatus, and a device for generating an internet of things application based on natural language, which can enable a user without any programming base to easily construct an internet of things application of an intelligent scene of a self cardiometer.
According to a first aspect of the present disclosure, there is provided a method for generating an application of the internet of things based on natural language, including:
acquiring dialogue information input by a user side;
analyzing an intelligent scene expected by a user according to the dialogue information, and generating standard scene description information for describing the intelligent scene;
and generating the Internet of things application for realizing the intelligent scene based on the standard scene description information.
In one possible implementation manner, when analyzing an intelligent scene expected by a user according to the dialogue information, generating standard scene description information for describing the intelligent scene includes:
Determining an intelligent scene expected by a user according to the dialogue information;
analyzing the intelligent scene, and determining the equipment and the capability of the Internet of things required by constructing the intelligent scene;
and converting the intelligent scene according to the Internet of things equipment and the capability required by constructing the intelligent scene, and generating standard scene description information.
In one possible implementation manner, when generating the internet of things application for implementing the intelligent scene based on the standard scene description information, the method includes:
analyzing the standard scene description information and determining an Internet of things equipment list required by constructing the intelligent scene;
extracting standard interface files corresponding to various Internet of things devices from a pre-constructed standard interface document library aiming at various Internet of things devices in the Internet of things device list;
and generating the Internet of things application for realizing the intelligent scene based on the standard scene description information, the Internet of things equipment list and standard interface files corresponding to various Internet of things equipment in the Internet of things equipment list.
In one possible implementation manner, when generating the internet of things application for implementing the intelligent scene based on the standard scene description information, the internet of things device list and standard interface files corresponding to various internet of things devices in the internet of things device list, the method includes:
Generating declaration codes of various Internet of things devices according to first sample codes of the declaration devices aiming at various Internet of things devices in the Internet of things device list;
identifying a preset phrase in the standard scene description information, dividing the internet of things equipment in the internet of things equipment list into trigger equipment and slave equipment based on the preset phrase, and controlling logic between the trigger equipment and the slave equipment;
determining a control capability state and a trigger value of the control capability state in the trigger equipment according to the standard scene description information, generating a report code for reporting the control capability state of the trigger equipment based on a standard interface file of the trigger equipment and a second sample code for reporting data, and generating a control condition for controlling the slave equipment based on the trigger value;
for each slave device, determining target capability and target capability state of the slave device to be adjusted according to the standard scene description information, and generating control codes for adjusting the capability state of the target capability of the slave device to the target capability state based on a standard interface file corresponding to the slave device and a third sample code for adjusting the device capability state;
And based on control logic between the trigger equipment and the slave equipment, combining the obtained declaration codes, the reporting codes, the control codes and the control conditions to generate the Internet of things application for realizing the intelligent scene.
In one possible implementation manner, after generating the internet of things application for implementing the intelligent scene, the method further includes: pushing the Internet of things application to the user side so that the Internet of things application and the actual equipment are bound through the user side.
In one possible implementation manner, after generating the standard scene description information for describing the intelligent scene, the method further includes:
pushing and displaying the standard scene description information to a user side;
acquiring an application generation request which is sent by a user terminal and used for generating an application of the Internet of things based on the standard scene description information;
and responding to the application generation request, and generating the Internet of things application for realizing the intelligent scene based on the standard scene description information.
In one possible implementation manner, after the standard scene description information is pushed and displayed to the user side, the method further includes:
acquiring an adjustment request for adjusting the standard scene description information sent by a user side;
And responding to the adjustment request, adjusting the standard scene description information, and pushing and displaying the adjusted standard scene description to the user side.
According to a second aspect of the present disclosure, there is provided a natural language-based internet of things application generating apparatus, including:
the dialogue information acquisition module is used for acquiring dialogue information input by a user side;
the intelligent scene analysis module is used for analyzing an intelligent scene expected by a user according to the dialogue information and generating standard scene description information for describing the intelligent scene;
and the application generation module is used for generating the Internet of things application for realizing the intelligent scene based on the standard scene description information.
In one possible implementation, the intelligent scene analysis module includes:
the intelligent scene determining unit is used for determining an intelligent scene expected by a user according to the dialogue information;
the intelligent scene construction unit is used for analyzing the intelligent scene and determining the equipment and the capability of the Internet of things required by constructing the intelligent scene;
and the intelligent scene description unit is used for converting the intelligent scene according to the Internet of things equipment and the capability required by constructing the intelligent scene to generate standard scene description information.
According to a third aspect of the present disclosure, there is provided a natural language based internet of things application generating apparatus, comprising: a processor; a memory for storing processor-executable instructions; wherein the processor is configured to perform the method of the first aspect of the present disclosure.
In the present disclosure, a method for generating an application of internet of things based on natural language includes: acquiring dialogue information input by a user side; and analyzing the intelligent scene expected by the user according to the dialogue information, generating standard scene description information for describing the intelligent scene, and generating the Internet of things application for realizing the intelligent scene based on the standard scene description information. That is, through the technical scheme of the present disclosure, the user only needs to input dialogue information reflecting the own needs or states, and the back-end server can automatically generate the internet of things application meeting the user needs based on the received dialogue information, so that the user without any programming basis can easily construct the internet of things application of the intelligent scene of the own cardiometer.
Other features and aspects of the present disclosure will become apparent from the following detailed description of exemplary embodiments, which proceeds with reference to the accompanying drawings.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate exemplary embodiments, features and aspects of the present disclosure and together with the description, serve to explain the principles of the disclosure.
FIG. 1 illustrates a flow chart of a natural language based Internet of things application generation method according to an embodiment of the present disclosure;
FIG. 2 illustrates a flow chart of an example of application generation and use in accordance with an embodiment of the present disclosure;
FIG. 3 shows a schematic block diagram of a natural language based Internet of things application generating device according to an embodiment of the present disclosure;
fig. 4 shows a schematic block diagram of a natural language based internet of things application generating device according to an embodiment of the present disclosure.
Detailed Description
Various exemplary embodiments, features and aspects of the disclosure will be described in detail below with reference to the drawings. In the drawings, like reference numbers indicate identical or functionally similar elements. Although various aspects of the embodiments are illustrated in the accompanying drawings, the drawings are not necessarily drawn to scale unless specifically indicated.
The word "exemplary" is used herein to mean "serving as an example, embodiment, or illustration. Any embodiment described herein as "exemplary" is not necessarily to be construed as preferred or advantageous over other embodiments.
In addition, numerous specific details are set forth in the following detailed description in order to provide a better understanding of the present disclosure. It will be understood by those skilled in the art that the present disclosure may be practiced without some of these specific details. In some instances, methods, means, elements, and circuits well known to those skilled in the art have not been described in detail in order not to obscure the present disclosure.
< method example >
Fig. 1 illustrates a flowchart of a natural language based internet of things application generation method according to an embodiment of the present disclosure. As shown in fig. 1, the method includes steps S1100-S1300.
S1100, dialogue information input by a user terminal is obtained.
Firstly, it should be noted that, in the method for generating the internet of things application based on natural language in this embodiment, the back-end server executes the method, so that in order to enable the back-end server to obtain the dialogue information input by the user, a preset APP may be installed on the user end, and then a dialogue channel between the user and the back-end server is established through a chat interface provided by the APP, so that the back-end server may obtain the dialogue information input by the user end through the dialogue channel.
Specifically, when a user needs to generate an internet of things application meeting the own needs, conversation information reflecting the own needs or the current state can be input through a chat interface provided by the APP. For example, when the user wants to switch the light, the voice or the text of "help me switch the light" can be input in the chat interface, and the voice or the text of "help me switch the light" is the dialogue information reflecting the user demand. For another example, when the user is currently going home, a voice or text of "i get home" can be input in the chat interface, and the voice or text of "i get home" is the dialogue information reflecting the current state of the user. After detecting dialogue information input by a user, the APP preprocesses the input dialogue information and sends the preprocessed dialogue information to a back-end server, so that the back-end server can acquire dialogue information which is input by the user and reflects the user requirement or the current state.
In one possible implementation, the APP may include, when preprocessing the dialogue information: judging the form of the dialogue information, and directly converting the dialogue information in the text form into a character string and sending the character string to a back-end server under the condition that the dialogue information is in the text form; when the dialogue information is in a voice form, the voice form is converted into a character form, and then the dialogue information in the character form is converted into a character string and sent to a back-end server. That is, the dialogue information input by the user is transmitted to the back-end server in the form of a character string.
After receiving the dialogue information input by the user, the back-end server may execute step S1200 to analyze the intelligent scene expected by the user according to the dialogue information, and generate standard scene description information for describing the intelligent scene.
In one possible implementation manner, when analyzing an intelligent scene expected by a user according to dialogue information and generating standard scene description information for describing the intelligent scene, the method may include the following steps:
first, based on the dialogue information, the intelligent scene expected by the user is determined. The intelligent scene expected by the user is an environment mode which is constructed for the user through linkage operation of a plurality of internet of things devices and is more comfortable for the user. For example, when the living room door is opened, the living room lamp is opened, the intelligent sound box plays voices welcome home, and the humidifier is opened, so that a more comfortable home environment is provided for a user after home.
In one possible implementation, when determining the intelligent scene expected by the user according to the dialogue information, the intelligent scene may be implemented through a pre-built intelligent scene recognition model.
It should be noted here that, before this step is performed, an intelligent scene recognition model needs to be built. The construction method specifically comprises the following steps: and collecting dialogue information of the set data table for evaluating the user requirement or the current state, analyzing the user intention aiming at each dialogue information, and marking the intelligent scene expected by the user for the dialogue information aiming at the user intention, so as to obtain a plurality of pieces of training data. For example, when the dialogue information is "i get home", the analysis user may expect that when the living room door is opened, the living room lamp is turned on, the intelligent sound box plays the voice welcoming home, and the humidifier is turned on, and when the living room door is turned on, the living room lamp is turned on, the intelligent sound box plays the voice welcoming home, and the humidifier is turned on. For another example, when the dialogue information is "i'm is very hot at present", the analysis user may expect to close the living room door and window and open the living room air conditioner when the living room temperature reaches the current temperature, and then the intelligent scene of "close the living room door and window and open the living room air conditioner when the room temperature reaches the current temperature" is marked for the dialogue information. The intelligent scene recognition model which can output the intelligent scene expected by the user according to the dialogue information can be obtained after training is finished by taking the dialogue information in each piece of training data as input and taking the intelligent scene corresponding to the dialogue information as output to train the basic parameters of the large language model LLM.
After the intelligent scene recognition model is constructed, the acquired dialogue information can be input into the intelligent scene recognition model, and at the moment, the intelligent scene expected by the user is output through the intelligent scene recognition model. For example, when the dialogue information is "i get home", the intelligent scene recognition model will output "when the living room door is opened, the living room light is opened, the intelligent sound box plays the voice welcoming your home, and the humidifier is opened".
Secondly, the intelligent scene is analyzed, and the Internet of things equipment and the capability required for constructing the intelligent scene are determined. The method specifically comprises the following steps:
step 1: and carrying out entity identification and part-of-speech tagging on the intelligent scene by adopting a natural language processing tool.
Step 2: traversing each entity for the traversed current entity:
and acquiring a pre-constructed first equipment list, wherein the first equipment list comprises equipment names and all capabilities of various Internet of things equipment on the market.
And extracting the Internet of things equipment matched with the current entity from the first equipment list to serve as target Internet of things equipment. For example, when the current entity word is "door", the door and window sensor matched with the "door" is extracted from the first device list as the target internet of things device.
The verb related to the current entity word is obtained, the entity word and the related verb are analyzed based on the LLM model, the target operation to be executed is determined, and the capability matched with the target operation is extracted from all the capabilities of the target Internet of things equipment recorded in the first equipment list and is used as the target capability required to be possessed by the target Internet of things equipment. For example, if the verb associated with the entity word "door" is "open", the LLM model is used to analyze the combination of the entity word "door open" and the associated verb, determine that the target operation to be executed is "the opening and closing state of the monitored door", and extract, from all the capabilities of the door and window sensor recorded in the first equipment list, the "sensing opening and closing capability" matching with the "opening and closing state of the monitored door" as the target capability required to be possessed by the door and window sensor.
Thus, the target Internet of things equipment corresponding to the current entity and the target capability required to be possessed by the target Internet of things equipment can be obtained.
Step 3: and after the traversal is finished, obtaining target Internet of things equipment corresponding to all entities and target capabilities required to be possessed by each target Internet of things equipment, wherein the target Internet of things equipment and the target capabilities are the Internet of things equipment and the capabilities required for building the intelligent scene. For example, when the intelligent scene is "when the living room door is opened, the living room lamp is opened, the intelligent sound box plays voice welcoming home, and the humidifier is opened", it is determined that the internet of things equipment and the capability required for constructing the intelligent scene are respectively: the sensing opening and closing capability of the door and window sensor, the switching capability of the lamp, the language playing capability of the intelligent sound box and the switching capability of the humidifier.
Thirdly, converting the intelligent scene according to the Internet of things equipment and the capability required by the construction of the intelligent scene, and generating standard scene description information. In the embodiment, the standard scene description information obtained by converting the intelligent scene is "when the door and window sensor senses that the living room door is opened, the living room lamp is opened, the intelligent sound box welcome the voice of returning home, and the humidifier is opened".
After obtaining the standard scene description information, the backend server may directly execute step S1300 to generate an internet of things application for implementing the intelligent scene based on the standard scene description information. The standard scene description information can be pushed and displayed to the user side for confirmation, and after the user confirms, the Internet of things application is generated based on the standard scene description information, so that the finally generated Internet of things application can meet the requirements of the user.
In the embodiment of pushing and displaying the standard scene description information to the user side for confirmation, the back-end server pushes and displays the standard scene description information to the APP chat interface of the user side, so that a user can judge whether the currently generated standard scene description information can meet the requirement of the user.
Under the condition that the currently generated standard scene description meets the self requirement, a user can trigger an application generation control associated with the standard scene description information on an APP chat interface, under the condition that the application generation control is triggered, the APP generates an application generation request for generating the Internet of things application based on the standard scene description information and sends the application generation request to a back-end server, so that the back-end server can acquire the application generation request for generating the Internet of things application based on the standard scene description information sent by the user end, respond to the application generation request, and execute the operation of generating the Internet of things application for realizing the intelligent scene based on the standard scene description information.
Under the condition that the currently generated standard scene description does not meet the self requirements, a user can trigger a re-identification control associated with the standard scene description information on an APP chat interface, under the condition that the re-identification control is triggered, the APP generates an adjustment request for adjusting the standard scene description information and sends the adjustment request to a back-end server, so that the back-end server can acquire the adjustment request sent by the user end, after acquiring the adjustment request, respond to the adjustment request, execute step S1200 again based on the acquired dialogue information so as to realize adjustment of the standard scene description information, and push and display the adjusted standard scene description to the user end until the standard scene description information displayed in a pushing mode meets the requirements of the user.
It should be noted that, when training data of the intelligent scene recognition model is constructed, different intelligent scenes can be marked on the same dialogue information based on different user requirements. For example, the dialogue information of "i get home" may be marked with "when the living room door is opened, the living room light is turned on, the intelligent sound box plays the voice welcoming you home, and the humidifier is turned on" the intelligent scene, so as to obtain a piece of training data. The intelligent scene of 'I get home' can be marked with 'when the living room door is opened, the living room lamp is opened, and the air conditioner is opened', so that another piece of training data is obtained. Therefore, the intelligent scene recognition model obtained through training has certain randomness for intelligent scenes output by the same dialogue information. Therefore, when the back-end server receives the adjustment request, the acquired dialogue information can be re-input into the intelligent scene recognition model, so that the intelligent scene expected by the user is re-determined, and new standard scene description information is generated based on the re-determined intelligent scene, so that adjustment of the standard scene description information is realized.
In one possible implementation manner, when generating the internet of things application for realizing the intelligent scene based on the standard scene description information, the method specifically includes the following steps:
firstly, analyzing the standard scene description information, and determining an Internet of things equipment list required by constructing an intelligent scene. Specifically, the standard scene description information is analyzed first to determine each piece of internet of things equipment required for constructing the intelligent scene, and the process of analyzing the intelligent scene and determining the internet of things equipment required for the intelligent scene is specifically described above and is not repeated here. And then summarizing the Chinese names of all the Internet of things devices required by the construction of the intelligent scene to obtain an Internet of things device list required by the construction of the intelligent scene.
Secondly, extracting standard interface files corresponding to various Internet of things devices from a pre-constructed standard interface document library aiming at various Internet of things devices in the Internet of things device list. The standard interface document library comprises standard interface files configured for various internet of things devices which possibly appear in the market, and the standard interface files corresponding to each internet of things device are associated with English names of the internet of things devices. In this way, after the internet of things device list is obtained, each internet of things device in the internet of things device list can be traversed, the text names of the internet of things devices are extracted according to the currently traversed internet of things devices, english names corresponding to the text names are extracted from a name mapping relation table which is built in advance and records the Chinese names and English names mapping relation of various internet of things devices, and then standard interface files corresponding to the currently traversed internet of things devices are extracted from a standard interface document library based on the extracted English names. And after the traversal is finished, extracting standard interface files corresponding to various Internet of things devices in the Internet of things device list. The standard interface file corresponding to each type of the Internet of things equipment comprises standard interface information for realizing various capabilities of the Internet of things equipment. The standard interface comprises at least one information of interface name, calling function, data transmission mode, data type, default data (i.e. default parameter value), data range (i.e. parameter value range of calling function), data reporting frequency, interface description and calling method ID corresponding to the calling function.
It should be noted that, before executing the step, it is necessary to construct standard interface files corresponding to various devices of the internet of things first, and store the standard interface files corresponding to the various devices of the internet of things in a standard interface document library, so that the standard interface files corresponding to the various devices of the internet of things can be extracted from the standard interface document library by referring to the above manner.
The following describes a construction process of a standard interface file of an internet of things device, taking the internet of things device as an example. The method comprises the following specific steps:
and step 1, collecting the capability and technical parameters of all the Internet of things equipment belonging to the current type in the market. For example, the current category is home lights, i.e. the capability and technical parameters of all brands and models of home lights on the market are collected. Wherein the capabilities of the device are functions that the device has.
And 2, generating a capability list corresponding to the current type of the Internet of things equipment according to the capabilities of all brands and models of the Internet of things equipment belonging to the current type, wherein the capability list comprises all the capabilities of all the same type of Internet of things equipment on the market. For example, through the home lamps on the market, it is found that some home lamps have a switch control capability, some home lamps have a brightness control capability, some home lamps have a color control capability, some home lamps have an electrical data display capability, some home lamps have a timing switch capability, and some home lamps have a mode selection capability (such as a reading mode, a night lamp mode, a meeting mode, etc.), after summarizing and de-duplicating various capabilities, the capability list corresponding to the home lamps is finally set to a capability list including the switch control capability, the brightness control capability, the color control capability, the electrical data display capability, the timing switch capability and the mode selection capability.
And 3, analyzing technical parameters set by all brands and models of the Internet of things equipment belonging to the current category aiming at the capabilities aiming at each type of the capabilities in the capability list, summarizing the general technical parameters, and generating standard capability interface information of each type of the capabilities according to the general technical parameters.
For example, for the switching capability of the home lamp, according to the general technical parameters that are summarized, the interface name in the standard interface information of the switching capability of the home lamp may be set as a setting switch, the calling function is set as light. The calling method ID is a unique ID identification code generated by the system for each calling method according to a preset rule, and the identification code is stored in a system database after being generated.
For another example, for the relative brightness adjustment capability of the home lamp, according to the general technical parameters that are summarized, the interface name in the standard interface information of the relative brightness adjustment capability of the home lamp may be set to set the relative brightness, the calling function is set to light.
For example, for the color adjustment capability of the home lamp, the interface name in the standard interface information of the color adjustment capability of the home lamp can be set to be a GRB value, the calling function is set to be light.
And 4, summarizing the standard capability interface information of each capability into one file, namely obtaining a corresponding standard interface file of the current type of internet of things equipment, and associating the standard interface file with the English name of the standard interface file.
The standard interface files corresponding to the various internet of things devices can be constructed by referring to the steps 1 to 4, and are not described herein.
It should be noted here that, in this embodiment, the standard interface file corresponding to each type of internet of things device is obtained by abstracting the capability and technical parameters of the same type of internet of things devices of all brands and models in the market, so that the internet of things application developed based on the standard interface file can be adapted to all the same type of internet of things devices in the market, and the device compatibility of the developed internet of things application is improved.
Thirdly, based on the standard scene description information, the Internet of things equipment list and standard interface files corresponding to various Internet of things equipment in the Internet of things equipment list, generating the Internet of things application for realizing the intelligent scene. The specific implementation can comprise the following steps:
step 1, aiming at various Internet of things devices in an Internet of things device list, generating declaration codes of the various Internet of things devices according to first sample codes of the declaration devices.
Here, the back-end server is preconfigured with a first sample code for declaring the device, where the first sample code may be: const device english name = devicemanager. Thus, when declaration codes of various Internet of things devices in the Internet of things device list are generated, various Internet of things devices in the Internet of things device list can be traversed. And extracting the text names from the traversed current Internet of things equipment, extracting English names corresponding to the Chinese names from the name mapping relation table, and filling the Chinese names and the English names into corresponding positions in the first sample codes to obtain the declaration codes of the current Internet of things equipment. And after the traversal is finished, declaration codes of various Internet of things devices in the Internet of things device list can be generated.
And 2, identifying preset phrases in the standard scene description information, dividing the Internet of things equipment in the Internet of things equipment list into trigger equipment and slave equipment based on the preset phrases, and controlling logic between the trigger equipment and the slave equipment. The preset phrase is a phrase indicating a trigger condition, for example, when … …. Specifically, after a preset phrase is identified from standard scene description information, dividing the internet of things equipment associated with the preset phrase in an internet of things equipment list into trigger equipment, dividing other equipment into slave equipment, and determining control logic between the trigger equipment and the slave equipment.
For example, the standard scene description information is that "when the door and window sensor senses that the living room door is opened, the living room lamp is opened, the intelligent sound box welcome the voice of you to return home, the humidifier is opened", the standard scene description information corresponds to the equipment list of the internet of things, including the door and window sensor, the lamp, the intelligent sound box and the humidifier, and after the preset phrase "when … …" is identified in the standard scene description information, the door and window sensor associated with the equipment list of the internet of things and the "when … …" is used as a trigger device, and the lamp, the intelligent sound box and the humidifier are used as slave devices. Meanwhile, the control logic of the trigger device and the slave device is determined that when the living room door is opened, the living room lamp is opened, the intelligent sound box plays voice which welcome home, and the humidifier is opened.
And 3, determining a control capability state and a trigger value of the control capability state for controlling the slave device in the trigger device according to the standard scene description information aiming at the trigger device, generating a reporting code for reporting the control capability state of the trigger device based on a standard interface file of the trigger device and a second sample code for reporting data, and generating a control condition for controlling the slave device based on the trigger value.
When determining a control capability state and a trigger value of the control capability state for controlling the slave device in the trigger device according to the standard scene description information, extracting text associated with the trigger device from the standard scene description information. Text associated with the trigger device is understood based on the LLM model, and a control capability state and a trigger value for controlling the slave device is determined. In the embodiment, the door and window sensor of the device is triggered, the text associated with the door and window sensor in the standard scene description information is "when the door and window sensor senses that the living room door is opened", and the associated text is analyzed based on the LLM model, so that the capability state of the door and window sensor for sensing the door opening and closing capability is used as the control capability state for controlling the slave device, and the capability state of the opening and closing capability is "opened" as the trigger value of the control capability state.
After determining the control capability state of the trigger device for controlling the slave device, a reporting code for reporting the control capability state of the trigger device may be generated based on the standard interface file of the trigger device and the second sample code for reporting data.
Here, the second sample code of the report data is preconfigured in the back-end server, and the second sample code may be as follows:
control capability status of Chinese names in a// subscription triggering device
Triggering device english name subscribe ([ 'calling function' ], res= > {)
Correlation logic
}
After determining the control capability state of the slave device in the trigger device, extracting a calling function for reporting the control capability state from a standard interface file corresponding to the trigger device, extracting an English name corresponding to the Chinese name of the trigger device from the name mapping relation table, and sequentially filling the Chinese name, the control capability state, the English name of the trigger device and the corresponding calling function of the trigger device into corresponding positions in the second sample code, so that a reporting code for reporting the control capability state of the trigger device can be obtained.
For example, the chinese name of the trigger device is a human body presence sensor, the english name is homeHumidifier, the control capability state for controlling the slave device is a human body presence state, and the call function for reporting the human body presence state in the standard interface file is existStatus, and the report code for reporting the human body presence state of the human body presence sensor obtained by filling the above information into the second sample code is as follows:
Human presence status of// subscription human presence sensor
homeHumidifier.subscribe(['existStatus'], res =>{
Correlation logic
}
When the trigger value of the control capability state of the trigger device is determined, a control condition for controlling the slave device may be generated. Specifically, the trigger value is assigned to the corresponding calling function to obtain the control condition. In the above embodiment, when determining that the trigger value is occuttable (representing the presence of a human body), the parameter value of the additionally called function existStatus is equal to the trigger value, i.e., existstatus= "occuttable", and existstatus= "occuttable" is a control condition for controlling the slave device.
And 4, determining the target capability and the target capability state of the slave device to be adjusted according to the standard scene description information aiming at each slave device, and generating a control code for adjusting the capability state of the target capability of the slave device to the target capability state based on the standard interface file corresponding to the slave device and a third sample code for adjusting the capability state of the device.
And when the target capability and the target capability state of the slave device to be adjusted are determined according to the standard scene description information, extracting text associated with the slave device from the standard scene description information. The text associated with the slave device is understood based on the LLM model, and the target capability state of the slave device to be adjusted are determined. In the embodiment, the slave device is a lamp, the text associated with the lamp in the standard scene description information is "living room lamp on", the associated text is analyzed based on the LLM model, so that the switching capacity of the lamp is used as the target capacity to be adjusted, and the "on" is used as the final target capacity state.
After determining the target capability and the target capability state that the slave device needs to adjust, a control code for adjusting the capability state of the target capability of the slave device to the target capability state may be generated based on the standard interface file corresponding to the slave device and the third sample code for adjusting the capability state of the device.
Here, the back-end server is preconfigured with a third sample code for adjusting the capability state of the device, where the third sample code may be:
calling function (parameter value corresponding to target capability state) for setting target capability
After determining the target capability and the target capability state of the slave device to be adjusted, extracting a calling function for setting the target capability and a parameter value corresponding to the target capability state from a standard interface file corresponding to the slave device, extracting an English name corresponding to the Chinese name of the slave device from the name mapping relation table, and sequentially filling the English name of the slave device, the calling function for setting the target capability and the parameter value corresponding to the target capability state into corresponding positions in a third sample code to obtain a control code for adjusting the capability state of the target capability of the slave device to the target capability state.
In the following embodiments, for the slave device lamp (english name light), the target capability to be adjusted is the switching capability, the target capability state is on, the call function for setting the lamp switching capability is setSwitch (), the parameter value corresponding to the on state of the target capability is true, and the generated control code for adjusting the lamp switching capability to the on state is: light.
Aiming at an intelligent sound box (English name smart speaker) of a slave device, the target capability to be adjusted is voice playing capability, the target capability state is welcome your home, a calling function for setting the voice playing of the intelligent sound box is setText (), the parameter value corresponding to the target capability state welcome your home is 'welcome your home', and a generated control code for controlling the intelligent sound box to play welcome your home is: smartspeaker.settext ("welcome you home")).
Aiming at a humidifier (English name) of a slave device, the target capacity to be adjusted is the switching capacity, the target capacity state is on, a calling function for setting the switching capacity of a lamp is setSwitch (), the parameter value corresponding to the on state of the target capacity is true, and then the generated control code for adjusting the switching capacity of the humidifier into the on state is as follows: homeHumidifier. Setswitch (true).
And 5, based on control logic between the trigger equipment and the slave equipment, combining the obtained declaration codes, reporting codes, control codes and control conditions to generate the application of the Internet of things for realizing the intelligent scene. Specifically, a corresponding control logic template is configured for control logic in the back-end server, report codes, control codes and control conditions are filled into the control logic template, relevant logic codes in the report codes can be obtained, and finally, each claim code and the report codes filled with the relevant logic codes are combined, so that the Internet of things application for realizing the intelligent scene can be obtained.
In the realizable mode, based on the standard interface files corresponding to various abstract Internet of things equipment, the application program capable of controlling the Internet of things equipment can be automatically generated in a natural language dialogue mode based on an artificial intelligence technology, so that the old and children without any programming basis can easily construct the Internet of things application of the intelligent scene of the heart meter, and popularization and application of the Internet of things are promoted.
In one possible implementation manner, after generating the internet of things application for implementing the intelligent scene, the method further includes: and pushing the Internet of things application to the user side so that the Internet of things application and the actual equipment are bound through the user side. Specifically, after the internet of things application is pushed to the user side, a prompt generated by the internet of things application is pushed and displayed in the chat interface of the APP. The user can start the application of the Internet of things by clicking the prompt and push the binding boundary surface of the display device. The device binding interface comprises various Internet of things devices used in the Internet of things application and selection controls configured for the various Internet of things devices. And aiming at each piece of Internet of things equipment, pushing and displaying the actual Internet of things equipment corresponding to the piece of Internet of things equipment under the condition that the corresponding selection control is triggered. And under the condition that the user selects the actual Internet of things equipment, the binding with the actual Internet of things equipment can be realized.
Further, after the internet of things application is bound with the real internet of things application required to be used, the internet of things application can be operated, and real internet of things equipment is controlled through the internet of things application, so that an intelligent scene expected by a user is realized.
The present disclosure provides a method for generating an application of the internet of things based on natural language, comprising: acquiring dialogue information input by a user side; and analyzing the intelligent scene expected by the user according to the dialogue information, generating standard scene description information for describing the intelligent scene, and generating the Internet of things application for realizing the intelligent scene based on the standard scene description information. That is, through the technical scheme of the present disclosure, the user only needs to input dialogue information reflecting the own needs or states, and the back-end server can automatically generate the internet of things application meeting the user needs based on the received dialogue information, so that the user without any programming basis can easily construct the internet of things application of the intelligent scene of the own cardiometer.
The generation and use of the internet of things application is described again below in connection with fig. 2. As shown in fig. 2, the generation and use process of the internet of things application specifically includes the following steps:
S2001, the dialogue information in the form of voice or text input by the user is obtained through a chat interface provided by the user side APP, and the dialogue information is sent to the back-end server after being preprocessed.
S2002, after receiving the processed dialogue information, the back-end server calls a pre-constructed intention recognition model to analyze the dialogue information, determines an intelligent scene expected by a user, and generates standard scene description information for describing the intelligent scene. The specific process is referred to step S1200, and will not be described herein.
And S2003, the back-end server sends the standard scene description information output by the intention recognition model to an APP chat interface of the user end so as to ensure that the user confirms whether the generated standard scene description information meets the requirement of the user.
S2004, after the user confirms that the standard scene description information meets the requirement of the user, an application generation control associated with the standard scene description information is triggered to generate an application generation request for generating the Internet of things application based on the standard scene description information, and the application generation request is sent to a back-end server.
S2005, the back-end server receives and responds to the application generation request, and invokes the application generation model to generate the Internet of things application for realizing the intelligent scene according to the standard scene description information. The specific process is referred to step S1300, and will not be described herein.
S2006, the back-end server packages the application of the Internet of things generated by the application generation model, sends the packaged application of the Internet of things to an APP chat interface of the user end, and prompts that the application of the Internet of things is generated.
S2007, clicking the application of the Internet of things in the APP chat interface by the user to generate a prompt, entering the equipment binding interface, and binding the application with the real equipment of the Internet of things through the equipment binding interface.
S2008, the user runs the generated Internet of things application through the APP, and sends corresponding instructions to the back-end server, the back-end server analyzes the instructions and sends corresponding control instructions to the equipment.
And S2009, after receiving the control instruction, the Internet of things device executes corresponding operation to realize the intelligent scene expected by the user.
< device example >
Fig. 3 shows a schematic block diagram of a natural language based internet of things application generating apparatus according to an embodiment of the present disclosure. As shown in fig. 3, the natural language-based internet of things application generating apparatus 100 includes:
a dialogue information acquisition module 110, configured to acquire dialogue information input by a user terminal;
the intelligent scene analysis module 120 is configured to analyze an intelligent scene expected by a user according to the dialogue information, and generate standard scene description information for describing the intelligent scene;
The application generating module 130 is configured to generate an internet of things application for implementing the intelligent scene based on the standard scene description information.
In one possible implementation, the intelligent scene analysis module includes:
the intelligent scene determining unit is used for determining an intelligent scene expected by a user according to the dialogue information;
the intelligent scene construction unit is used for analyzing the intelligent scene and determining the equipment and the capability of the Internet of things required by constructing the intelligent scene;
the intelligent scene description unit is used for converting the intelligent scene according to the Internet of things equipment and the capability required by the construction of the intelligent scene, and generating standard scene description information.
In one possible implementation, the application generation module includes:
the device list construction unit is used for analyzing the standard scene description information and determining an Internet of things device list required by constructing an intelligent scene;
the standard interface file extraction unit is used for extracting standard interface files corresponding to various Internet of things devices from a pre-constructed standard interface document library aiming at various Internet of things devices in the Internet of things device list;
the application construction unit is used for generating the Internet of things application for realizing the intelligent scene based on the standard scene description information, the Internet of things equipment list and standard interface files corresponding to various Internet of things equipment in the Internet of things equipment list.
< device example >
Fig. 4 shows a schematic block diagram of a natural language based internet of things application generating device according to an embodiment of the present disclosure. As shown in fig. 4, the natural language based internet of things application generating apparatus 200 includes: processor 210 and memory 220 for storing instructions executable by processor 210. Wherein the processor 210 is configured to implement any of the natural language based internet of things application generation methods described above when executing the executable instructions.
Here, it should be noted that the number of processors 210 may be one or more. Meanwhile, in the natural language based internet of things application generating apparatus 200 of the embodiment of the present disclosure, an input device 230 and an output device 240 may be further included. The processor 210, the memory 220, the input device 230, and the output device 240 may be connected by a bus, or may be connected by other means, which is not specifically limited herein.
The memory 220 is a computer-readable storage medium that can be used to store software programs, computer-executable programs, and various modules, such as: the application generation method of the Internet of things based on natural language in the embodiment of the disclosure corresponds to a program or a module. The processor 210 executes various functional applications and data processing of the natural language based internet of things application generating apparatus 200 by running software programs or modules stored in the memory 220.
The input device 230 may be used to receive an input digital or signal. Wherein the signal may be a key signal generated in connection with user settings of the device/terminal/server and function control. The output means 240 may comprise a display device such as a display screen.
The foregoing description of the embodiments of the present disclosure has been presented for purposes of illustration and description, and is not intended to be exhaustive or limited to the embodiments disclosed. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the various embodiments described. The terminology used herein was chosen in order to best explain the principles of the embodiments, the practical application, or the technical improvement of the technology in the marketplace, or to enable others of ordinary skill in the art to understand the embodiments disclosed herein.

Claims (8)

1. The method for generating the application of the Internet of things based on the natural language is characterized by comprising the following steps of:
acquiring dialogue information input by a user side;
analyzing an intelligent scene expected by a user according to the dialogue information, and generating standard scene description information for describing the intelligent scene;
generating an internet of things application for realizing the intelligent scene based on the standard scene description information;
When generating the application of the internet of things for realizing the intelligent scene based on the standard scene description information, the method comprises the following steps:
analyzing the standard scene description information and determining an Internet of things equipment list required by constructing the intelligent scene;
extracting standard interface files corresponding to various Internet of things devices from a pre-built standard interface document library aiming at various Internet of things devices in the Internet of things device list, wherein the standard interface files corresponding to the various Internet of things devices are obtained by abstracting the capacities and technical parameters of the same Internet of things devices of all brands and models in the market;
generating an internet of things application for realizing the intelligent scene based on the standard scene description information, the internet of things equipment list and standard interface files corresponding to various internet of things equipment in the internet of things equipment list;
when generating the internet of things application for realizing the intelligent scene based on the standard scene description information, the internet of things device list and standard interface files corresponding to various internet of things devices in the internet of things device list, the method comprises the following steps:
generating declaration codes of various Internet of things devices according to first sample codes of the declaration devices aiming at various Internet of things devices in the Internet of things device list;
Identifying a preset phrase in the standard scene description information, dividing the internet of things equipment in the internet of things equipment list into trigger equipment and slave equipment based on the preset phrase, and controlling logic between the trigger equipment and the slave equipment;
determining a control capability state and a trigger value of the control capability state in the trigger equipment according to the standard scene description information, generating a report code for reporting the control capability state of the trigger equipment based on a standard interface file of the trigger equipment and a second sample code for reporting data, and generating a control condition for controlling the slave equipment based on the trigger value;
for each slave device, determining target capability and target capability state of the slave device to be adjusted according to the standard scene description information, and generating control codes for adjusting the capability state of the target capability of the slave device to the target capability state based on a standard interface file corresponding to the slave device and a third sample code for adjusting the device capability state;
And based on control logic between the trigger equipment and the slave equipment, combining the obtained declaration codes, the reporting codes, the control codes and the control conditions to generate the Internet of things application for realizing the intelligent scene.
2. The method according to claim 1, wherein when analyzing an intelligent scene expected by a user from the dialogue information, generating standard scene description information for describing the intelligent scene, comprises:
determining an intelligent scene expected by a user according to the dialogue information;
analyzing the intelligent scene, and determining the equipment and the capability of the Internet of things required by constructing the intelligent scene;
and converting the intelligent scene according to the Internet of things equipment and the capability required by constructing the intelligent scene, and generating standard scene description information.
3. The method of any of claims 1-2, further comprising, after generating an internet of things application implementing the smart scene: pushing the Internet of things application to the user side so that the Internet of things application and the actual equipment are bound through the user side.
4. The method according to any one of claims 1-2, further comprising, after generating standard scene description information for describing the smart scene:
Pushing and displaying the standard scene description information to a user side;
acquiring an application generation request which is sent by a user terminal and used for generating an application of the Internet of things based on the standard scene description information;
and responding to the application generation request, and generating the Internet of things application for realizing the intelligent scene based on the standard scene description information.
5. The method according to claim 4, further comprising, after pushing the standard scene description information to the user side:
acquiring an adjustment request for adjusting the standard scene description information sent by a user side;
and responding to the adjustment request, adjusting the standard scene description information, and pushing and displaying the adjusted standard scene description to the user side.
6. An internet of things application generating device based on natural language, which is characterized by comprising:
the dialogue information acquisition module is used for acquiring dialogue information input by a user side;
the intelligent scene analysis module is used for analyzing an intelligent scene expected by a user according to the dialogue information and generating standard scene description information for describing the intelligent scene;
the application generation module is used for generating an Internet of things application for realizing the intelligent scene based on the standard scene description information;
The application generation module is specifically configured to, when generating an internet of things application for implementing the intelligent scene based on the standard scene description information:
analyzing the standard scene description information and determining an Internet of things equipment list required by constructing the intelligent scene;
extracting standard interface files corresponding to various Internet of things devices from a pre-built standard interface document library aiming at various Internet of things devices in the Internet of things device list, wherein the standard interface files corresponding to the various Internet of things devices are obtained by abstracting the capacities and technical parameters of the same Internet of things devices of all brands and models in the market;
generating an internet of things application for realizing the intelligent scene based on the standard scene description information, the internet of things equipment list and standard interface files corresponding to various internet of things equipment in the internet of things equipment list;
generating an internet of things application for realizing the intelligent scene based on the standard scene description information, the internet of things equipment list and standard interface files corresponding to various internet of things equipment in the internet of things equipment list;
the application generating module is specifically configured to, when generating an internet of things application for implementing the intelligent scene based on the standard scene description information, the internet of things device list and standard interface files corresponding to various internet of things devices in the internet of things device list:
Generating declaration codes of various Internet of things devices according to first sample codes of the declaration devices aiming at various Internet of things devices in the Internet of things device list;
identifying a preset phrase in the standard scene description information, dividing the internet of things equipment in the internet of things equipment list into trigger equipment and slave equipment based on the preset phrase, and controlling logic between the trigger equipment and the slave equipment;
determining a control capability state and a trigger value of the control capability state in the trigger equipment according to the standard scene description information, generating a report code for reporting the control capability state of the trigger equipment based on a standard interface file of the trigger equipment and a second sample code for reporting data, and generating a control condition for controlling the slave equipment based on the trigger value;
for each slave device, determining target capability and target capability state of the slave device to be adjusted according to the standard scene description information, and generating control codes for adjusting the capability state of the target capability of the slave device to the target capability state based on a standard interface file corresponding to the slave device and a third sample code for adjusting the device capability state;
And based on control logic between the trigger equipment and the slave equipment, combining the obtained declaration codes, the reporting codes, the control codes and the control conditions to generate the Internet of things application for realizing the intelligent scene.
7. The apparatus of claim 6, wherein the intelligent scene analysis module comprises:
the intelligent scene determining unit is used for determining an intelligent scene expected by a user according to the dialogue information;
the intelligent scene construction unit is used for analyzing the intelligent scene and determining the equipment and the capability of the Internet of things required by constructing the intelligent scene;
and the intelligent scene description unit is used for converting the intelligent scene according to the Internet of things equipment and the capability required by constructing the intelligent scene to generate standard scene description information.
8. An internet of things application generating device based on natural language, comprising:
a processor;
a memory for storing processor-executable instructions;
wherein the processor is configured to implement the method of any one of claims 1 to 5 when executing the executable instructions.
CN202410091191.0A 2024-01-22 2024-01-22 Method, device and equipment for generating application of Internet of things based on natural language Active CN117609478B (en)

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Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103957036A (en) * 2014-05-07 2014-07-30 丰唐物联技术（深圳）有限公司 Method for building Internet of Things and Internet-of-Things devices
CN111766798A (en) * 2019-04-02 2020-10-13 青岛海信智慧家居系统股份有限公司 Intelligent household equipment control method and device
CN114461294A (en) * 2021-12-24 2022-05-10 广东智联蔚来科技有限公司 Method for quickly constructing application service, computer device and storage medium
CN116049360A (en) * 2022-11-29 2023-05-02 兴业银行股份有限公司 Intelligent voice dialogue scene conversation intervention method and system based on client image
CN117075508A (en) * 2023-08-17 2023-11-17 深圳市前海研祥亚太电子装备技术有限公司 Linkage control method and device of equipment and computer equipment
CN117348854A (en) * 2023-09-13 2024-01-05 深圳市致趣科技有限公司 Method and device for generating control flow of Internet of things based on natural language dialogue

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103957036A (en) * 2014-05-07 2014-07-30 丰唐物联技术（深圳）有限公司 Method for building Internet of Things and Internet-of-Things devices
CN111766798A (en) * 2019-04-02 2020-10-13 青岛海信智慧家居系统股份有限公司 Intelligent household equipment control method and device
CN114461294A (en) * 2021-12-24 2022-05-10 广东智联蔚来科技有限公司 Method for quickly constructing application service, computer device and storage medium
CN116049360A (en) * 2022-11-29 2023-05-02 兴业银行股份有限公司 Intelligent voice dialogue scene conversation intervention method and system based on client image
CN117075508A (en) * 2023-08-17 2023-11-17 深圳市前海研祥亚太电子装备技术有限公司 Linkage control method and device of equipment and computer equipment
CN117348854A (en) * 2023-09-13 2024-01-05 深圳市致趣科技有限公司 Method and device for generating control flow of Internet of things based on natural language dialogue

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