CN111897587B

CN111897587B - Internet of things application configuration method, device, computer equipment and storage medium

Info

Publication number: CN111897587B
Application number: CN202010566869.8A
Authority: CN
Inventors: 葛长斌; 曾卫东; 傅东生; 李鹏; 马量; 彭宏飞; 陈斌
Original assignee: Shenzhen Miracle Intelligent Network Co Ltd
Current assignee: Shenzhen Miracle Intelligent Network Co Ltd
Priority date: 2020-06-19
Filing date: 2020-06-19
Publication date: 2023-10-31
Anticipated expiration: 2040-06-19
Also published as: CN111897587A

Abstract

The application relates to an application configuration method, device, computer equipment and storage medium of the Internet of things. The method comprises the following steps: receiving an application configuration instruction of the Internet of things, wherein the application configuration instruction of the Internet of things carries a user identifier and an application identifier; acquiring user data corresponding to the user identification, inputting the user data into a feature analysis model, and performing feature analysis on the user data through the feature analysis model to obtain a user feature tag; generating a user portrait corresponding to the user identifier according to the user characteristic tag; determining an application configuration template corresponding to the application identifier according to the user portrait; returning the application configuration template to the terminal corresponding to the application configuration instruction of the Internet of things, so that the terminal displays the application configuration template and obtains configuration item data recorded in the application configuration template; and receiving configuration item data sent by the terminal, and generating application configuration data corresponding to the application identifier according to the application configuration template and the configuration item data. By adopting the method, the configuration accuracy of the application of the Internet of things can be improved.

Description

Internet of things application configuration method, device, computer equipment and storage medium

Technical Field

The present application relates to the field of computer technologies, and in particular, to a method and apparatus for configuring applications of the internet of things, a computer device, and a storage medium.

Background

The internet of things is used as an important component of a new generation data technology, and automatic identification of products and interconnection and sharing of data are realized through the internet by utilizing communication perception technologies such as intelligent perception and identification technologies. Along with the rapid development of the internet of things, more and more enterprises manage, analyze and the like the internet of things equipment or products through the internet of things application in the internet of things platform. In the conventional manner, when the application of the internet of things is configured, a unified application configuration template is provided through the platform of the internet of things, and the application of the internet of things is instantiated.

However, since the application functions configured by the instantiated internet of things application are fixed, the tasks such as accurately managing and analyzing the internet of things equipment or products of different enterprises cannot be performed, so that the configuration accuracy of the internet of things application is low.

Disclosure of Invention

In view of the foregoing, it is desirable to provide an internet of things application configuration method, apparatus, computer device, and storage medium that can improve the accuracy of configuration of an internet of things application.

An internet of things application configuration method, the method comprising:

receiving an application configuration instruction of the Internet of things, wherein the application configuration instruction of the Internet of things carries a user identifier and an application identifier;

acquiring user data corresponding to the user identifier, inputting the user data into a feature analysis model, and carrying out feature analysis on the user data through the feature analysis model to obtain a user feature tag;

generating a user portrait corresponding to the user identifier according to the user characteristic tag;

determining an application configuration template corresponding to the application identifier according to the user portrait;

returning the application configuration template to a terminal corresponding to the application configuration instruction of the Internet of things, so that the terminal displays the application configuration template and obtains configuration item data recorded in the application configuration template;

and receiving configuration item data sent by the terminal, and generating application configuration data corresponding to the application identifier according to the application configuration template and the configuration item data.

In one embodiment, before the receiving the application configuration instruction of the internet of things, the method further includes:

receiving an application display instruction of the Internet of things sent by a terminal, wherein the application display instruction of the Internet of things carries a user identifier;

Acquiring role configuration data corresponding to the user identifier;

determining an application set of the Internet of things corresponding to the user identifier according to the role configuration data;

and returning the application set of the Internet of things to the terminal, so that the terminal displays the application set of the Internet of things, receiving triggering operation on the application of the Internet of things in the application set of the Internet of things, and generating an application configuration instruction of the Internet of things according to the triggering operation.

In one embodiment, the method further comprises:

acquiring department data of a department to which the user identifier belongs;

inputting the department data into a feature analysis model, and performing feature analysis on the department data through the feature analysis model to obtain department feature data;

and determining an application configuration template corresponding to the application identifier according to the department characteristic data.

In one embodiment, the application configuration data includes internet of things resource configuration data and patrol configuration data, and the method further includes:

acquiring a patrol task of the internet of things product in the internet of things resource configuration data, wherein the patrol task carries a product type;

acquiring inspection data corresponding to the product type from the inspection configuration data, wherein the inspection data comprises inspection equipment;

Generating a patrol instruction according to the patrol data and sending the patrol instruction to the patrol equipment so that the patrol equipment executes corresponding actions according to the patrol data;

and receiving the operation data reported by the inspection equipment, screening abnormal data in the operation data, and generating alarm data according to the abnormal data.

In one embodiment, the inspection data comprises a product service inspection, the method further comprising:

acquiring preset input parameters corresponding to the product service inspection;

generating a patrol instruction according to the preset input parameters and sending the patrol instruction to corresponding patrol equipment so that the patrol equipment executes corresponding actions according to the preset input parameters;

and acquiring output parameters reported by the inspection equipment, and identifying whether the inspection equipment is abnormal or not according to the output parameters.

In one embodiment, the application configuration data includes internet of things resource configuration data and policy configuration data, and the method further includes:

acquiring state data uploaded by the Internet of things product in the Internet of things resource configuration data;

checking the state data according to the strategy configuration data;

and when the verification is not passed, carrying out corresponding data processing operation on the state data according to the strategy configuration data.

An internet of things application configuration apparatus, the apparatus comprising:

the communication module is used for receiving an application configuration instruction of the Internet of things, wherein the application configuration instruction of the Internet of things carries a user identifier and an application identifier;

the first analysis module is used for acquiring user data corresponding to the user identifier, inputting the user data into a feature analysis model, and carrying out feature analysis on the user data through the feature analysis model to obtain a user feature tag;

the first generation module is used for generating a user portrait corresponding to the user identifier according to the user characteristic tag;

the determining module is used for determining an application configuration template corresponding to the application identifier according to the user portrait;

the communication module is further used for returning the application configuration template to a terminal corresponding to the application configuration instruction of the Internet of things, so that the terminal displays the application configuration template and obtains configuration item data recorded in the application configuration template; receiving configuration item data sent by the terminal;

and the second generation module is used for generating application configuration data corresponding to the application identifier according to the application configuration template and the configuration item data.

In one embodiment, the apparatus further comprises: the selection module is used for receiving an application display instruction of the Internet of things, which is sent by the terminal, and the application display instruction of the Internet of things carries a user identifier; acquiring role configuration data corresponding to the user identifier; determining an application set of the Internet of things corresponding to the user identifier according to the role configuration data; and returning the application set of the Internet of things to the terminal, so that the terminal displays the application set of the Internet of things, receiving triggering operation on the application of the Internet of things in the application set of the Internet of things, and generating an application configuration instruction of the Internet of things according to the triggering operation.

A computer device comprising a memory storing a computer program executable on the processor and a processor implementing the steps of the method embodiments described above when the computer program is executed by the processor.

A computer readable storage medium having stored thereon a computer program which when executed by a processor performs the steps of the various method embodiments described above.

The Internet of things application configuration method, the Internet of things application configuration device, the computer equipment and the storage medium receive the Internet of things application configuration instruction, wherein the Internet of things application configuration instruction carries the user identifier and the application identifier. And acquiring user data corresponding to the user identification, performing feature analysis on the user data through a feature analysis model to obtain a user feature tag, generating a user portrait corresponding to the user identification according to the user feature tag, and determining an application configuration template corresponding to the application identification according to the user portrait. And then, returning the application configuration template to the terminal corresponding to the application configuration instruction of the Internet of things, so that the terminal displays the application configuration template, and acquiring configuration item data recorded in the application configuration template. And the server receives the configuration item data sent by the terminal, and further generates application configuration data corresponding to the application identifier according to the application configuration template and the configuration item data. By matching and recommending the plurality of user characteristic labels in the user portrait with the application configuration templates, more accurate application configuration templates can be provided for different users, so that the application configuration of the Internet of things is carried out according to the application configuration templates, the accuracy of the application configuration of the Internet of things is further improved, meanwhile, the automatic template matching and the application configuration of the Internet of things are realized, complicated operation flows and a great deal of time consumption are avoided, the operation flows of the application configuration of the Internet of things are greatly simplified, and the efficiency of the application configuration of the Internet of things is effectively improved.

Drawings

FIG. 1 is an application environment diagram of an application configuration method of the Internet of things in one embodiment;

FIG. 2 is a flow chart of an application configuration method of the Internet of things in one embodiment;

FIG. 3 is a flowchart illustrating a step of determining an application set of the Internet of things corresponding to the user identifier according to the application permission data in one embodiment;

FIG. 4 is a flow chart of a patrol step performed on an Internet of things product in one embodiment;

FIG. 5 is a flowchart illustrating a verification step for status data uploaded by an Internet of things product according to policy configuration data in one embodiment;

FIG. 6 is a block diagram of an application configuration device of the Internet of things in one embodiment;

fig. 7 is an internal structural diagram of a computer device in one embodiment.

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.

The application configuration method of the Internet of things, provided by the application, can be applied to an application environment shown in fig. 1. Wherein the terminal 102 communicates with the server 104 via a network. After the terminal 102 logs in the internet of things platform, the server 104 receives an internet of things application configuration instruction sent by the terminal 102, where the internet of things application configuration instruction carries a user identifier and an application identifier of an application to be configured. The server 104 obtains user data corresponding to the user identification, inputs the user data into a feature analysis model, and performs feature analysis on the user data through the feature analysis model to obtain a user feature tag. Whereby the server 104 generates a user representation corresponding to the user identification based on the user feature tag and determines an application configuration template corresponding to the application identification based on the user representation. And then, the server 104 returns the application configuration template to the terminal 102 corresponding to the application configuration instruction of the internet of things, so that the terminal 102 displays the application configuration template and obtains configuration item data recorded in the application configuration template. The server 104 receives the configuration item data sent by the terminal 102, and generates application configuration data corresponding to the application identifier according to the application configuration template and the configuration item data. The terminal 102 may be, but is not limited to, various personal computers, notebook computers, smart phones, tablet computers, and portable wearable devices, among others. The server 104 may be implemented as a stand-alone server or as a server cluster of multiple servers.

In one embodiment, as shown in fig. 2, an application configuration method of the internet of things is provided, and the method is applied to the server in fig. 1 for illustration, and includes the following steps:

step 202, receiving an application configuration instruction of the internet of things, wherein the application configuration instruction of the internet of things carries a user identifier and an application identifier.

The Internet of things application configuration instruction is used for indicating the server to perform functional configuration on the Internet of things application. The user identification refers to a unique identification that marks the user. For example, the user identification may include a user name, a user account, a user code, and the like. The application identifier refers to an identifier for distinguishing the application of the internet of things, and is a unique identifier of the application of the internet of things.

Specifically, a user can log in the internet of things platform through the terminal, and functional configuration is performed on the internet of things application based on the internet of things platform. The user may be an administrator of a certain tenant or a tenant. For example, the tenant may be an enterprise. The Internet of things platform can monitor, manage, analyze and the like the Internet of things product or equipment through the configured Internet of things application. For example, the internet of things platform can perform real-time panoramic monitoring on equipment temperature, humidity, switch states and the like of all internet of things equipment on the platform. Therefore, tenants can manage, analyze and the like various internet of things devices or products on line through the internet of things platform.

When the terminal detects the triggering operation of the application management center control in the Internet of things platform, an application management center interface is displayed, and a plurality of Internet of things applications are displayed on the application management center interface. The internet of things application may be pre-deployed in the internet of things platform. For example, the internet of things applications may include a variety of different types of applications such as Daxing communications, daxing fire protection, daxing flood protection, and the like. When the terminal detects triggering operation acting on the application icon of the Internet of things, an application configuration instruction of the Internet of things is generated according to the application identifier corresponding to the application image of the Internet of things and the user identifier.

And the terminal sends the application configuration instruction of the Internet of things to the server. After receiving the application configuration instruction of the Internet of things, the server analyzes the application configuration instruction of the Internet of things to obtain a user identifier and an application identifier. After receiving the application configuration instruction of the internet of things sent by different users through the corresponding terminals, the server can acquire corresponding user data according to different user identifiers.

Step 204, user data corresponding to the user identification is obtained, the user data is input into a feature analysis model, and feature analysis is performed on the user data through the feature analysis model, so that a user feature tag is obtained.

And 206, generating a user portrait corresponding to the user identifier according to the user characteristic label.

And step 208, determining an application configuration template corresponding to the application identifier according to the user portrait.

And the server acquires corresponding user data from the database according to the user identification. The user data may include data of social attributes, lifestyle habits, and industry behaviors of the user. The server is pre-deployed with a feature analysis model. The feature analysis model is trained from a large number of sample data. After obtaining the user data, the server invokes a pre-trained feature analysis model. A plurality of pre-stored feature labels may be included in the feature analysis model. For example, the feature analysis model may be a neural network model, a logistic regression model, a random forest model, or the like. The server inputs the user data into a feature analysis model, performs feature analysis on the user data through the feature analysis model, and outputs the similarity between the user data and the feature labels. The server extracts the feature labels with the similarity exceeding the threshold value from the user data as the user feature labels corresponding to the user identifications. The feature tag is a highly refined feature identifier obtained by analyzing the user data through a feature analysis model. For example, the feature tag may include enterprise data, function data, role data in the internet of things platform, etc., to which the user belongs. And then, the server combines the plurality of feature labels corresponding to the obtained user identifications to obtain the user portraits corresponding to the user identifications. The user portrayal is used for accurately describing various aspects of social attributes, living habits, industry behaviors and the like of the user. Further, the user feature tag may also be obtained directly from the behavior data of the user.

User portrayal embodies a user avatar by abstracting the user's concrete data into labels and using different categories of user feature labels. The user representation is a description of the overall characteristics of the user. The server can determine the application configuration template corresponding to the application identifier from a plurality of application configuration templates in the template library according to the user characteristic tag. And carrying out quick matching in the application configuration templates, and determining the application configuration template corresponding to the application identifier. The application configuration template may include multiple configuration dimensions, such as multiple configuration dimensions for an internet of things resource, a policy engine, an alarm center, a worksheet center, and a patrol. The configuration dimensions corresponding to different application configuration templates may be different. Each configuration dimension may include a plurality of configuration items, for example, the internet of things resource may include an internet of things product, an internet of things device, and the like. The internet of things product can be an internet of things product model, which is a general model for abstracting the same type of internet of things equipment. The internet of things device is a specific example of an internet of things product model. For example, when the product model of the internet of things is a camera, the devices of the internet of things can be camera No. 1 and camera No. 2, and camera No. 1 and camera No. 2 are specific examples of the product model of the internet of things. For another example, the policy engine may include a data processing policy, a data flow policy, a linkage policy, and the like. The inspection may include an internet of things product inspection, and the like.

Specifically, the server extracts feature data of a plurality of application configuration templates, and performs similarity calculation on the user feature labels and the feature data extracted corresponding to each application configuration template. And the server marks the application configuration template corresponding to the similarity calculation result, namely the characteristic data with the similarity value larger than the threshold value, as the application configuration template to be recommended. Therefore, the server can utilize a plurality of user characteristic labels in the user image to carry out matching recommendation with the application configuration template, and automatic template matching, application configuration and related equipment configuration can be realized.

And 210, returning the application configuration template to the terminal corresponding to the application configuration instruction of the Internet of things, so that the terminal displays the application configuration template, and acquiring configuration item data recorded in the application configuration template.

And 212, receiving configuration item data sent by the terminal, and generating application configuration data corresponding to the application identifier according to the application configuration template and the configuration item data.

And the server returns the matched application configuration template to the terminal corresponding to the configuration instruction of the Internet of things. After receiving the application configuration template, the terminal generates an application configuration interface according to the application configuration template, and displays the application configuration template through the application configuration interface. The application configuration template includes a plurality of configuration dimensions. Each configuration dimension may include a plurality of configuration items, for example, an internet of things resource may include an internet of things product model, an internet of things device, and the like. When the terminal detects the triggering operation of the configuration items under the configuration dimension, the terminal can jump to the corresponding configuration item interface from the application configuration interface. When the configuration item data corresponding to the configuration items are acquired, the configuration item data are input into the corresponding configuration items in the application configuration template. When the configuration item is an internet of things product model, the acquired configuration item data can comprise basic data, static attribute, dynamic attribute, product service and the like of the internet of things product. The terminal further sends the entered configuration item data to the server, and the server inputs all the received configuration item data to the application configuration template for corresponding storage, so as to generate application configuration data corresponding to the application identifier.

After the configuration of the application of the Internet of things is completed, different tenants can carry out real-time statistical analysis on the monitoring conditions of the equipment of the Internet of things under the configured application of the Internet of things through the platform of the Internet of things, visually display analysis results, and intuitively and comprehensively master the operation conditions of all access equipment on the platform. For example, different types of tenants can log in a specific internet of things platform main page in an account number and password mode, the tenants can display corresponding internet of things device data through configured internet of things applications, the tenants can check the running state of any internet of things device which is accessed currently, and the tenants can also perform configuration operation on the internet of things device which is not accessed currently.

In this embodiment, the server receives an application configuration instruction of the internet of things, where the application configuration instruction of the internet of things carries a user identifier and an application identifier. And acquiring user data corresponding to the user identification, performing feature analysis on the user data through a feature analysis model to obtain a user feature tag, generating a user portrait corresponding to the user identification according to the user feature tag, and determining an application configuration template corresponding to the application identification according to the user portrait. And then, returning the application configuration template to the terminal corresponding to the application configuration instruction of the Internet of things, so that the terminal displays the application configuration template, and acquiring configuration item data recorded in the application configuration template. And the server receives the configuration item data sent by the terminal, and further generates application configuration data corresponding to the application identifier according to the application configuration template and the configuration item data. By matching and recommending the plurality of user characteristic labels in the user portrait with the application configuration templates, more accurate application configuration templates can be provided for different users, so that the application configuration of the Internet of things is carried out according to the application configuration templates, the accuracy of the application configuration of the Internet of things is further improved, meanwhile, the automatic template matching and the application configuration of the Internet of things are realized, complicated operation flows and a great deal of time consumption are avoided, the operation flows of the application configuration of the Internet of things are greatly simplified, and the efficiency of the application configuration of the Internet of things is effectively improved.

In one embodiment, as shown in fig. 3, the step of determining, according to the application permission data, the set of applications of the internet of things corresponding to the user identifier includes:

step 302, receiving an application display instruction of the internet of things sent by a terminal, wherein the application display instruction of the internet of things carries a user identifier.

Step 304, obtaining role configuration data corresponding to the user identifier.

And step 306, determining the application set of the Internet of things corresponding to the user identification according to the role configuration data.

Step 308, the internet of things application set is returned to the terminal, so that the terminal displays the internet of things application set, receives a trigger operation on the internet of things application in the internet of things application set, and generates an internet of things application configuration instruction according to the trigger operation.

Before receiving the application configuration instruction of the internet of things sent by the terminal, the server can display the application of the internet of things corresponding to the user identifier, so that the terminal can select the application, and the application configuration instruction of the internet of things is generated. The user identifier may be an administrator identifier corresponding to a tenant of the internet of things platform. For the same tenant, the platform of the internet of things can partition the user management center and the application management center corresponding to the tenant, and the user management center uses a unified set of organization mechanism, role data and user data, namely, the organization mechanism, role, user and other data are uniformly set, and the data can be shared among all departments in the same tenant. Different departments of the same tenant can display the Internet of things application corresponding to the departments through logging in the management account number, namely, the Internet of things application corresponding to the user identification is displayed on an application management center interface, and the Internet of things application is functionally configured. When the same tenant and different departments log on the internet of things platform, the internet of things applications displayed on the application management center interface can be different.

Specifically, when the terminal detects a triggering operation acting on an application management center control, an application display instruction of the Internet of things is generated and sent to the server. When the server receives the application display instruction of the Internet of things sent by the terminal, the application display instruction of the Internet of things is analyzed, and the user identification is obtained. The server acquires character configuration data corresponding to the user identifier from the pre-stored character configuration data. The character configuration data may be configuration data for describing association relationships between the user and the character, and between the character and the application. The role configuration data may include a plurality of role types, such as different internet of things role data for a patrol, a device manager, a primary manager, a secondary manager, and the like. Therefore, the server can determine the Internet of things role corresponding to the user identifier in the role configuration data and extract the application permission corresponding to the Internet of things role. And acquiring the corresponding application set of the Internet of things according to the application authority, and acquiring the corresponding application set of the Internet of things according to the application authority of the role of the Internet of things corresponding to the user identification.

And then, the server returns the acquired application set of the Internet of things to the terminal. And the terminal displays the application set of the Internet of things on an application management center interface. The Internet of things application set is an Internet of things application corresponding to the user identifier. For example, when the internet of things role corresponding to the user with the user name of Zhang III is a patrol, the server acquires that the organization to which Zhang III belongs is Daxing tax bureau and the application permission is Daxing fire prevention, the Daxing fire prevention is returned to the terminal by the application, and the Daxing fire prevention application is displayed on an application management center interface of the terminal.

When the terminal receives a triggering operation acting on an application icon of the Internet of things in the application set of the Internet of things, generating an application configuration instruction of the Internet of things according to a user identifier and an application identifier corresponding to the triggering operation. And the terminal sends the application configuration instruction of the Internet of things to the server so as to instruct the server to perform the function configuration of the application of the Internet of things.

In this embodiment, the server obtains role configuration data corresponding to the user identifier, and determines an application set of the internet of things corresponding to the user identifier according to the role configuration data. And returning the application set of the Internet of things to the terminal for display, and generating an application configuration instruction of the Internet of things by the terminal according to the triggering operation of the application of the Internet of things in the application set of the Internet of things. The method and the device have the advantages that the application set of the internet of things with the authority can be obtained according to the role configuration data of the user, so that the user can only perform functional configuration on the application of the internet of things with the authority, and the safety of the application configuration of the internet of things is effectively improved.

In one embodiment, the method further comprises: acquiring department data of a department to which a user identifier belongs; inputting the department data into a feature analysis model, and carrying out feature analysis on the department data through the feature analysis model to obtain department feature data; and determining an application configuration template corresponding to the application identifier according to the department characteristic data.

The server can automatically match corresponding application configuration templates for different applications, namely, business requirements of different departments. Specifically, after the server analyzes the application configuration instruction of the internet of things to obtain the user identifier and the application identifier, an organization or department to which the user identifier belongs is determined. Each department may correspond to an internet of things application. For example, when the department to which the user identification belongs is the Daxing tax office, the corresponding Internet of things application is Daxing fire prevention. Thereafter, the server acquires department data of the department. The department data may include job data.

The server invokes a pre-trained feature analysis model, which may be, for example, a neural network model, a logistic regression model, a random forest model, or the like. The server then inputs the department data into a feature analysis model, performs feature analysis on the department data through the feature analysis model, and outputs the department feature data. The department characteristic data may include functional characteristic data of the department. The server then matches the department feature data with a plurality of application configuration templates in a template library. The server extracts the feature data of the application configuration templates, and performs similarity calculation on the department feature data and the feature data extracted corresponding to each application configuration template. And the server marks the application configuration template corresponding to the similarity calculation result, namely the characteristic data with the similarity value larger than the threshold value, as the application configuration template to be recommended. Therefore, the server can utilize the department characteristic data to carry out matching recommendation with the application configuration template, and can match the corresponding application configuration template according to the business requirements of each department, so that the accuracy of the application configuration of the Internet of things is further improved.

In one embodiment, as shown in fig. 4, the steps for inspecting the internet of things product specifically include:

step 402, obtaining a patrol task of the internet of things product in the internet of things resource configuration data, wherein the patrol task carries a product type.

Step 404, obtaining inspection data corresponding to the product type in the inspection configuration data, wherein the inspection data comprises inspection equipment.

Step 406, generating a patrol instruction according to the patrol data and issuing the patrol instruction to the patrol equipment, so that the patrol equipment executes corresponding actions according to the patrol data.

Step 408, receiving the operation data reported by the inspection equipment, screening the abnormal data in the operation data, and generating alarm data according to the abnormal data.

The application configuration data comprises Internet of things resource configuration data and inspection configuration data. The resource configuration data includes internet of things products. The inspection configuration data may include inspection data of an internet of things product or an internet of things device. For example, data such as inspection modes, inspection contents, inspection strategies and the like of the internet of things products or the internet of things equipment. The Internet of things product refers to an Internet of things product model, namely a general model abstracted from the same type of Internet of things equipment, and the Internet of things equipment is equivalent to a concrete example of each product model. For example, when the product model of the internet of things is a camera, the devices of the internet of things can be camera No. 1 and camera No. 2, and camera No. 1 and camera No. 2 are specific examples of the product model of the internet of things. The inspection configuration data can be obtained by logging in the internet of things platform main page through the administrator of the tenant, logging in a specific application based on the internet of things platform, and configuring the inspection data of the internet of things product or the internet of things equipment in the application interface.

After the function configuration of the Internet of things application is completed, the Internet of things product in the Internet of things application can be inspected according to the Internet of things resource configuration data and the inspection configuration data. Specifically, the administrator may create a corresponding patrol task by triggering an operation, for example, by clicking a create patrol task button. The server acquires the inspection task of the Internet of things product created by the user, and analyzes the inspection task to obtain the product type. The content of the inspection task may include inspection product data, inspection time data, inspection personnel data, inspection rules, and the like. The content of the inspection task can also comprise dynamic attribute data of an inspection product, service data of the inspection product, inspection rules corresponding to the inspection product service and the like. For example, the product types may be obtained by dividing the functions of different internet of things devices, and for example, the product types may include a camera, a display screen, a refrigeration device, and the like.

Furthermore, the administrator can also add a new inspection task by logging in the intelligent inspection interface, wherein the new inspection task can comprise an inspection period and corresponding inspection equipment data. After the server acquires the newly added inspection task, the corresponding internet of things product or internet of things equipment can be inspected according to the newly added inspection task.

And the server acquires the inspection data corresponding to the product type from the inspection configuration data. The inspection data may include inspection equipment, dynamic properties of the product to be inspected, product services to be inspected, inspection policies, exception handling policies, and the like. For example, when the product type obtained by the server is a camera, the server obtains inspection data corresponding to the camera, determines that the corresponding inspection equipment is the camera 01 of the specified inspection equipment, the product service to be inspected is the service of rotating the camera, and the corresponding inspection rule is that the input parameter is that the camera rotates by 25 degrees. The inspection strategy can be generated by a server in advance according to inspection data, or can be generated according to inspection data and inspection product data selected by an administrator recorded in a database.

And the server generates a patrol instruction according to the patrol data and transmits the patrol instruction to patrol equipment corresponding to the product type, so that the patrol equipment executes corresponding actions according to the patrol data. Specifically, the server can read the inspection mode in the inspection data, and the inspection mode can comprise inspection of all the internet of things equipment under the internet of things product, inspection of part of the internet of things equipment or inspection of appointed internet of things equipment. The server may also read the patrol time in the patrol data, for example, a fixed period or a non-fixed period. And the server performs inspection on the product service to be inspected or the dynamic attribute of the product to be inspected according to the inspection time in the inspection data. Meanwhile, the server can also generate a patrol strategy corresponding to the products of the Internet of things according to the historical product patrol data recorded in the database, the server automatically selects corresponding patrol equipment according to the patrol strategy, and the server issues a command to the selected patrol equipment according to the patrol data so that the patrol equipment executes corresponding actions according to the patrol data.

The server can acquire the operation data reported by the inspection equipment after the inspection equipment executes corresponding actions according to the inspection data. The operation data may include the service time of the inspection device, the online state of the inspection device, and the output data returned by the inspection device. Thus, the server compares the operation data with the preset range. The preset range can be a parameter range of normal operation of the internet of things product preset by the server. When the operation data reported by the inspection equipment is within a preset range, the inspection equipment is indicated to operate normally, and corresponding inspection normal report data is generated. When the operation data reported by the inspection equipment is not in the preset range, the operation abnormality of the inspection equipment is indicated, and the server marks the operation data corresponding to the inspection equipment as abnormal data. The anomaly data may include device attribute anomaly data, device service status anomaly data, and the like.

Further, the server generates corresponding alarm data according to the abnormal data, so that an administrator can start a manual inspection task according to the alarm data, and assign professional inspection personnel to confirm that the fault problem of the inspection equipment is located. The product service inspection rule further comprises an exception handling policy, namely an administrator can select an exception handling mode during configuration, so that a corresponding product service inspection rule is generated. When the patrol report shows an anomaly, the server may be triggered to generate alert data, a work order, or notification data indicating manual handling. In addition, the server can also generate a corresponding manual inspection strategy according to the inspection data and the inspection equipment data selected by the administrator and recorded in the database. When the intelligent patrol task is started next time by the user, and when the triggering condition of the patrol task is met, the server can automatically generate corresponding worksheet data according to a pre-generated manual patrol strategy and send the worksheet data to corresponding patrol personnel.

In one embodiment, the method further comprises: acquiring preset input parameters corresponding to product service inspection; generating a patrol instruction according to the preset input parameters and sending the patrol instruction to corresponding patrol equipment so that the patrol equipment executes corresponding actions according to the preset input parameters; and acquiring output parameters reported by the inspection equipment, and identifying whether the inspection equipment is abnormal or not according to the output parameters.

The inspection data may include product service inspection. The inspection information may include product dynamic property inspection and product service inspection. When the inspection data read by the server is product service inspection, the server acquires preset input parameters corresponding to product service inspection, generates inspection instructions according to the preset input parameters and sends the inspection instructions to corresponding inspection equipment, so that the inspection equipment executes corresponding actions according to the preset input parameters. Further, the server acquires output parameters reported by the inspection equipment, and judges whether the inspection equipment is abnormal or not according to the output parameters. For example, the server acquires that the product type carried in the inspection task is a camera, that is, the product model is a camera, when the server reads the inspection data to inspect for product service, for example, the product inspection corresponding to the product model is preset to inspect for the service of rotating the camera, that is, the server inspects whether all cameras configured in the current application can rotate, that is, inspects the product service item of 'camera rotation', so as to analyze the camera which can not rotate normally. The server obtains preset input parameters corresponding to the camera rotation service inspection, for example, the input parameters are rotation 25 degrees. The server issues an instruction to all the camera devices configured in the application according to the 25-degree rotation of the input parameters, so that all the camera devices in the application execute corresponding 25-degree rotation actions according to the 25-degree rotation of the input parameters. The server can acquire the output parameters reported by the camera equipment, namely feedback information of whether the camera equipment successfully rotates by 25 degrees, and judges whether the camera is abnormal according to the output parameters, so that the camera which cannot normally rotate is automatically analyzed. Therefore, the product service corresponding to the automatic inspection product model can be realized, manual configuration is not needed, the inspection flow of the internet of things product is greatly simplified, and the inspection efficiency of the internet of things product is effectively improved.

In one embodiment, when the server reads the inspection information as the product dynamic attribute inspection, the server acquires an attribute judgment condition corresponding to the product dynamic attribute inspection, and the server judges whether the operation data reported by the inspection equipment is abnormal according to the attribute judgment condition. The product dynamic properties may include functional properties corresponding to the product as well as online status. The automatic inspection product model can realize the dynamic attribute corresponding to the automatic inspection product model, manual configuration is not needed, the inspection process of the Internet of things product is greatly simplified, and the inspection efficiency of the Internet of things product is effectively improved.

In one embodiment, after the server issues the inspection instruction to the inspection device, the operation data reported by the inspection device may be obtained from the message queue. Specifically, the server can create a corresponding message according to the inspection instruction and send the message to the message queue, and the server receives operation data reported by a plurality of inspection devices in the inspection task by using the message queue, and obtains at least one operation data corresponding to the inspection devices from the message queue. The server can keep a long connection state with a plurality of different types of internet of things products by utilizing message queuing, and data transmission is carried out through a mode of subscribing and publishing messages. The message queue is deployed on the platform of the Internet of things and mainly provides for receiving and sending of messages, and when facing a large amount of task information, the message queue can cut peaks and smooth valleys of the messages. Therefore, each device of the internet of things platform is interacted in an information form, data is self-analyzed, the device runs independently and is highly decoupled, concurrent tasks of a plurality of inspection devices can be executed simultaneously, complicated procedures of manual configuration operation are avoided, and therefore inspection efficiency of internet of things products is effectively improved.

In this embodiment, when a user needs to perform inspection for different types of internet of things products, only needs to log in the internet of things platform, creates a corresponding inspection task through triggering operation, and the server can obtain corresponding inspection data according to the product types carried in the inspection task, and generates an inspection instruction to corresponding inspection equipment according to the inspection data, so that the inspection equipment performs corresponding actions according to the inspection information. When operation data reported when the inspection equipment executes corresponding actions are obtained, abnormal data are obtained by screening and analyzing the operation data, so that alarm data are generated according to the abnormal data, automatic product inspection and automatic abnormal handling can be realized, the problem that targeted product inspection cannot be provided in a traditional mode is solved, complicated processes of manual operation in the traditional Internet of things field and a large amount of time are avoided, the inspection process of the Internet of things product is greatly simplified, and therefore the product inspection efficiency of the Internet of things is effectively improved.

In one embodiment, as shown in fig. 5, the step of verifying the status data uploaded by the internet of things product according to the policy configuration data specifically includes:

Step 502, status data reported by the internet of things product in the internet of things resource configuration data is obtained.

And step 504, checking the state data according to the strategy configuration data.

And step 506, when the verification is not passed, performing corresponding data processing operation on the state data according to the strategy configuration data.

After the function configuration of the application of the internet of things is completed, the server can perform data cleaning or data filtering on the data reported by the product of the internet of things under the application configuration of the internet of things. Specifically, the application configuration data may include internet of things resource configuration data and policy configuration data. The internet of things resource allocation data can comprise internet of things products and the like. The policy configuration data is used for cleaning or filtering data of data reported by the Internet of things product in the Internet of things resource configuration data. When the server acquires the state data reported by the Internet of things product in a certain Internet of things application, the server can verify the state data according to the data processing strategy in the strategy configuration data. The status data may include product attributes. The data processing policy may include data verification configuration data and data processing operation configuration data. The data verification configuration data may include product attributes and attribute judgment conditions. When the state data meets the attribute judgment conditions in the data verification policy, the state data fails to pass the verification, which indicates that the state data is wrong, and the server needs to perform corresponding data processing operation on the state data according to the data processing operation configuration data, wherein the data processing operation can be data cleaning operation or data filtering operation. When the state data does not meet the attribute judgment conditions in the data verification policy, the state data passes the verification, which indicates that the state data is correct, and the server can store the state data.

For example, when the product of the internet of things is a virtual product, the reported state data can be checked according to a data check policy configured by the virtual product, whether the reported state data of the virtual product meets the conditions that whether the temperature is more than 100 ℃ per DEG C and the current is less than 2 amperes/A is checked, and when the reported state data of the virtual product meets the attribute judging conditions, the check is not passed, and the reported state data of the virtual product is indicated to be error data. At this time, the action of executing the data reported by the virtual product is cleaning, and the corresponding action is triggered and executed in advance. And when the state data reported by the virtual product does not meet the attribute judging conditions, checking is passed, and the state data reported by the virtual product is correct. At this time, the server directly stores the data reported by the virtual product.

In this embodiment, the state data reported by the internet of things product is checked by applying the policy configuration data in the configuration data, and when the state data fails to pass the check, corresponding data processing operation is performed on the state data according to the policy configuration data. Because the policy configuration data is configured in the Internet of things platform and in the corresponding Internet of things application, the reported state data can be accurately and rapidly checked. When the verification is not passed, the state data is cleaned or filtered, and the accuracy of the subsequent data storage is improved.

It should be understood that, although the steps in the flowcharts of fig. 2 to 5 are shown in order as indicated by the arrows, these steps are not necessarily performed in order as indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least some of the steps in fig. 2-5 may include multiple sub-steps or stages that are not necessarily performed at the same time, but may be performed at different times, nor does the order in which the sub-steps or stages are performed necessarily occur sequentially, but may be performed alternately or alternately with at least a portion of the sub-steps or stages of other steps or other steps.

In one embodiment, as shown in fig. 6, there is provided an application configuration apparatus for internet of things, including: a communication module 602, a first analysis module 604, a first generation module 606, a determination module 608, and a second generation module 610, wherein:

the communication module 602 is configured to receive an application configuration instruction of the internet of things, where the application configuration instruction of the internet of things carries a user identifier and an application identifier.

The first analysis module 604 is configured to obtain user data corresponding to the user identifier, input the user data into the feature analysis model, and perform feature analysis on the user data through the feature analysis model to obtain a user feature tag.

A first generating module 606, configured to generate a user portrait corresponding to the user identifier according to the user feature tag.

A determining module 608, configured to determine an application configuration template corresponding to the application identifier according to the user portrait.

The communication module 602 is further configured to return the application configuration template to the terminal corresponding to the application configuration instruction of the internet of things, so that the terminal displays the application configuration template and obtains configuration item data recorded in the application configuration template; and receiving the configuration item data sent by the terminal.

The second generating module 610 is configured to generate application configuration data corresponding to the application identifier according to the application configuration template and the configuration item data.

In one embodiment, the apparatus further comprises: the selection module is used for receiving an application display instruction of the Internet of things, which is sent by the terminal, and the application display instruction of the Internet of things carries a user identifier; acquiring role configuration data corresponding to a user identifier; determining an application set of the Internet of things corresponding to the user identification according to the role configuration data; and returning the application set of the Internet of things to the terminal so that the terminal displays the application set of the Internet of things, receiving triggering operation on the application of the Internet of things in the application set of the Internet of things, and generating an application configuration instruction of the Internet of things according to the triggering operation.

In one embodiment, the apparatus further comprises: the second analysis module is used for acquiring department data of departments to which the user identifiers belong; inputting the department data into a feature analysis model, and carrying out feature analysis on the department data through the feature analysis model to obtain department feature data; and determining an application configuration template corresponding to the application identifier according to the department characteristic data.

In one embodiment, the apparatus further comprises: the inspection module is used for acquiring an inspection task of the internet of things product in the internet of things resource configuration data, wherein the inspection task carries a product type; acquiring inspection data corresponding to the product type from the inspection configuration data, wherein the inspection data comprises inspection equipment; generating a patrol instruction according to the patrol data and issuing the patrol instruction to patrol equipment so that the patrol equipment executes corresponding actions according to the patrol data; and receiving the operation data reported by the inspection equipment, screening abnormal data in the operation data, and generating alarm data according to the abnormal data.

In one embodiment, the inspection module is further configured to obtain a preset input parameter corresponding to product service inspection; generating a patrol instruction according to the preset input parameters and sending the patrol instruction to corresponding patrol equipment so that the patrol equipment executes corresponding actions according to the preset input parameters; and acquiring output parameters reported by the inspection equipment, and identifying whether the inspection equipment is abnormal or not according to the output parameters.

In one embodiment, the apparatus further comprises: the verification module is used for acquiring state data uploaded by the Internet of things product in the Internet of things resource configuration data; verifying the state data according to the strategy configuration data; and when the verification is not passed, carrying out corresponding data processing operation on the state data according to the strategy configuration data.

For specific limitation of the application configuration device of the internet of things, reference may be made to the limitation of the application configuration method of the internet of things, which is not described herein. All or part of the modules in the application configuration device of the internet of things can be realized by software, hardware and a combination thereof. The above modules may be embedded in hardware or may be independent of a processor in the computer device, or may be stored in software in a memory in the computer device, so that the processor may call and execute operations corresponding to the above modules.

In one embodiment, a computer device is provided, which may be a server, the internal structure of which may be as shown in fig. 7. The computer device includes a processor, a memory, a network interface, and a database connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The database of the computer device is for storing user data, application configuration templates and application configuration data. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program, when executed by a processor, implements a method for configuring an application of the internet of things.

It will be appreciated by those skilled in the art that the structure shown in FIG. 7 is merely a block diagram of some of the structures associated with the present inventive arrangements and is not limiting of the computer device to which the present inventive arrangements may be applied, and that a particular computer device may include more or fewer components than shown, or may combine some of the components, or have a different arrangement of components.

In one embodiment, a computer device is provided comprising a memory storing a computer program and a processor implementing the steps of the various embodiments described above when the computer program is executed.

In one embodiment, a computer readable storage medium is provided, on which a computer program is stored which, when executed by a processor, implements the steps of the various embodiments described above.

Those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed, may comprise the steps of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in embodiments provided herein may include non-volatile and/or volatile memory. The nonvolatile memory can include Read Only Memory (ROM), programmable ROM (PROM), electrically Programmable ROM (EPROM), electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double Data Rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous Link DRAM (SLDRAM), memory bus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), among others.

The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.

The above examples illustrate only a few embodiments of the application, which are described in detail and are not to be construed as limiting the scope of the application. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the application, which are all within the scope of the application. Accordingly, the scope of protection of the present application is to be determined by the appended claims.

Claims

1. An application configuration method for the internet of things, which is characterized by comprising the following steps:

acquiring user data corresponding to the user identifier, inputting the user data into a feature analysis model, and performing feature analysis on the user data through the feature analysis model to obtain a user feature tag, wherein the method comprises the following steps: performing feature analysis on the user data through the feature analysis model, and outputting the similarity between the user data and the pre-stored feature labels; extracting a feature tag with similarity exceeding a threshold value with user data as a user feature tag corresponding to the user identifier;

2. The method of claim 1, wherein prior to the receiving the internet of things application configuration instruction, the method further comprises:

acquiring role configuration data corresponding to the user identifier;

3. The method according to claim 1, wherein the method further comprises:

acquiring department data of a department to which the user identifier belongs;

4. The method of claim 1, wherein the application configuration data comprises internet of things resource configuration data and patrol configuration data, the method further comprising:

5. The method of claim 4, wherein the inspection data comprises a product service inspection, the method further comprising:

6. The method of any of claims 1 to 5, wherein the application configuration data comprises internet of things resource configuration data and policy configuration data, the method further comprising:

checking the state data according to the strategy configuration data;

7. An internet of things application configuration device, the device comprising:

The first analysis module is configured to obtain user data corresponding to the user identifier, input the user data into a feature analysis model, perform feature analysis on the user data through the feature analysis model, and obtain a user feature tag, and includes: performing feature analysis on the user data through the feature analysis model, and outputting the similarity between the user data and the pre-stored feature labels; extracting a feature tag with similarity exceeding a threshold value with user data as a user feature tag corresponding to the user identifier;

8. The apparatus of claim 7, wherein the apparatus further comprises: the selection module is used for receiving an application display instruction of the Internet of things, which is sent by the terminal, and the application display instruction of the Internet of things carries a user identifier; acquiring role configuration data corresponding to the user identifier; determining an application set of the Internet of things corresponding to the user identifier according to the role configuration data; and returning the application set of the Internet of things to the terminal, so that the terminal displays the application set of the Internet of things, receiving triggering operation on the application of the Internet of things in the application set of the Internet of things, and generating an application configuration instruction of the Internet of things according to the triggering operation.

9. A computer device comprising a memory and a processor, the memory storing a computer program executable on the processor, characterized in that the processor implements the steps of the method of any one of claims 1 to 6 when the computer program is executed.

10. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 6.