WO2023207520A1

WO2023207520A1 - Information association method and apparatus, device, storage medium and product

Info

Publication number: WO2023207520A1
Application number: PCT/CN2023/085793
Authority: WO
Inventors: 李鹏飞
Original assignee: 青岛海尔科技有限公司; 海尔智家股份有限公司
Priority date: 2022-04-29
Filing date: 2023-03-31
Publication date: 2023-11-02
Also published as: CN114880342A

Abstract

Provided in the present application are an information association method and apparatus, a device, a storage medium and a product. The method comprises: acquiring user quintuple information to be matched of an intelligent device and device state information reported by the intelligent device, filtering the reported device state information, and determining device state information to be matched; calling a UDF program to read a device state change expression corresponding to said user quintuple information; according to the device state information to be matched, device state information of a previous moment and the device state change expression, determining whether said user quintuple information is matched with the device state information to be matched; and if so, associating said user quintuple information with said device state information which are matched, and outputting a corresponding matching result.

Description

Information association methods, devices, equipment, storage media and products

This application claims priority to the Chinese patent application submitted to the China Patent Office on April 29, 2022, with the application number 202210467584.8 and the application name "Information Association Methods, Devices, Equipment, Storage Media and Products", the entire content of which is incorporated by reference. incorporated in this application.

Technical field

The present application relates to communication technology, and in particular, to an information association method, device, equipment, storage medium and product.

Background technique

Currently, there are more users using smart devices. Smart devices have more and more functions, and the number of times users use smart devices has also increased significantly. Users will upload a behavior log every time they operate a smart device, and users will upload a large number of behaviors every day. data. At the same time, smart devices themselves also upload a large amount of log data every day.

When data analysts or algorithmic personnel want to combine user behavior data with device reporting data, they usually use the standard structured query language SQL processing.

However, if new behaviors are added, developers need to modify the SQL statements, otherwise the behavior data cannot be associated with the corresponding smart device log data.

Contents of the invention

This application provides an information association method, device, equipment, storage medium and product to solve the existing problem of requiring code modification during the association process of user behavior data and smart device log data.

In the first aspect, this application provides an information association method, including:

Obtain the user quintuple information to be matched by the smart device and the device status information reported by the smart device, and filter the device status information reported by the smart device to determine the corresponding device status information to be matched;

Call the user-defined function UDF program to read the device corresponding to the user quintuple information to be matched. State change expression;

Obtain the device status information at the previous moment corresponding to the device status information to be matched, and determine the user quintuple information to be matched based on the device status information to be matched, the device status information at the previous moment, and the corresponding device status change expression. Whether it matches the device status information to be matched;

If so, associate the matching user quintuple information with the device status information, and output the corresponding matching result.

In a second aspect, this application provides an information association device, including:

The determination unit is used to obtain the user quintuple information to be matched by the smart device and the device status information reported by the smart device, and filter the device status information reported by the smart device to determine the corresponding device status information to be matched;

The processing unit is used to call the user-defined function UDF program to read the device status change expression corresponding to the user quintuple information to be matched;

The determination unit is also used to obtain the device status information at the previous moment corresponding to the device status information to be matched, and determine the device status information to be matched based on the device status information to be matched, the device status information at the previous moment, and the corresponding device status change expression. Whether the user quintuple information matches the device status information to be matched;

The processing unit is also used to associate the matching user quintuple information with the device status information if so, and output the corresponding matching result.

In a third aspect, this application provides an electronic device, a processor, and a memory communicatively connected to the processor;

The memory stores computer execution instructions;

The processor executes computer execution instructions stored in the memory, so that the processor executes the method described in the first aspect.

In a fourth aspect, the present application provides a computer-readable storage medium. Computer-executable instructions are stored in the computer-readable storage medium. When executed by a processor, the computer-executable instructions are used to implement the method as described in the first aspect. .

In a fifth aspect, the present application provides a computer program product, including a computer program that implements the method described in the first aspect when executed by a processor.

This application provides an information association method, device, equipment, storage medium and product that obtains the user quintuple information to be matched by the smart device and the device status information reported by the smart device, and performs operations on the device status information reported by the smart device. Filter processing to determine the corresponding device status information to be matched; Call the user-defined function UDF program to read the device status change expression corresponding to the user quintuple information to be matched; obtain the device status information at the previous moment corresponding to the device status information to be matched, and based on the device status to be matched information, the device status information at the previous moment and the corresponding device status change expression to determine whether the user quintuple information to be matched matches the device status information to be matched; if so, the matching user quintuple information and the device status Correlate information and output corresponding matching results.

Description of drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the application and together with the description, serve to explain the principles of the application.

Figure 1 is a schematic diagram of the network architecture of the information association method provided by this application;

Figure 2 is a schematic flowchart of the information association method provided in Embodiment 1 of the present application;

Figure 3 is a schematic flowchart of the information association method provided in Embodiment 2 of the present application;

Figure 4 is a schematic flowchart of the information association method provided in Embodiment 4 of the present application;

Figure 5 is a schematic flowchart of the information association method provided in Embodiment 6 of the present application;

Figure 6 is a schematic flowchart of the information association method provided in Embodiment 7 of the present application;

Figure 7 is a schematic structural diagram of an information correlation device provided by an embodiment of the present application;

Figure 8 is a first block diagram of an electronic device used to implement the information association method according to the embodiment of the present application;

Figure 9 is a second block diagram of an electronic device used to implement the information association method according to the embodiment of the present application.

Through the above-mentioned drawings, clear embodiments of the present application have been shown, which will be described in more detail below. These drawings and text descriptions are not intended to limit the scope of the present application's concepts in any way, but are intended to illustrate the application's concepts for those skilled in the art with reference to specific embodiments.

Detailed ways

In order to enable those in the technical field to better understand the solutions of the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only These are part of the embodiments of this application, not all of them. Based on the embodiments in this application, all other embodiments obtained by those of ordinary skill in the art without creative efforts should fall within the scope of protection of this application.

It should be noted that in the description and claims of this application and the above-mentioned drawings, the term "th "First", "second", etc. are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that data so used are interchangeable under appropriate circumstances to facilitate the practice of the application described herein. Examples can be implemented in sequences other than those illustrated or described herein. Furthermore, the terms "comprising" and "having" and any variations thereof are intended to cover a non-exclusive inclusion, e.g., the inclusion of a series of steps or units. The processes, methods, systems, products or devices are not necessarily limited to those steps or units expressly listed, but may include other steps or units not expressly listed or inherent to the processes, methods, products or devices.

In order to clearly understand the technical solution of the present application, the prior art solution will first be introduced in detail.

There are currently many users using smart devices, and most users have more than one smart device at home. As smart devices have more and more functions, the number of times users use smart devices has also increased significantly. Users will upload data every time they operate a smart device. A behavior log, users upload a large amount of behavior data every day. At the same time, smart devices themselves also upload a large amount of log data every day. In order to provide users with smart devices with a better experience, device manufacturers need to collect user behavior data that does not involve user privacy and log data reported by their smart devices with the user's consent, and combine the behavior data with the user's consent. Log data reported by smart devices are combined. When data analysts or algorithm personnel want to combine user behavior data with data reported by devices for analysis, they usually use the standard structured query language SQL to process and write fixed data according to pre-existing requirements. code to correlate data for subsequent analysis.

The existing method uses the standard SQL processing of the database. The standard SQL is not very flexible and cannot dynamically parse the required key fields. It can only write fixed codes according to the pre-requirements. If there are new behaviors, it needs to be modified. Code; if the smart device adds new functions and new behaviors accordingly, the code also needs to be modified. Otherwise, the behavior data cannot be associated with the corresponding smart device log data, causing the SQL to become very complex and difficult to maintain. .

Therefore, in order to solve the problem of needing to use SQL for data association when combining existing user behavior data and smart device log data, the inventor found in the research that it is necessary to obtain the user quintuple information to be matched by the smart device and the device status reported by the smart device. Information, filter the reported device status information to determine the device status information to be matched, and further call the user-defined function to read the device status change expression corresponding to the user quintuple information to be matched. According to the device to be matched Status information, device status information at the previous moment, and device status change expressions determine the user to be matched. Whether the quintuple information matches the device status information to be matched. If the user quintuple information matches the device status information, associate the user quintuple information with the device status information to be matched, and output the matching result. Using user-defined function programs and preset device status change expressions, there is no need to modify the code during the data association process. Only the device status change expressions need to be maintained, providing a more convenient data association method. And the data can be filtered to save storage space.

Therefore, the inventor proposes the technical solution of the embodiment of the present application based on the above creative discovery. The network architecture and application scenarios of the information association method provided by the embodiments of this application are introduced below.

As shown in Figure 1, the network architecture corresponding to the information association method provided by the embodiment of the present application includes: an electronic device 1 and a smart air conditioner 2. The electronic device 1 communicates with the smart air conditioner 2 . Smart air conditioner 2 reports equipment status information and user behavior information. Electronic device 1 generates corresponding user quintuple information based on the user behavior information reported by smart air conditioner 2, and determines the user quintuple information as the user quintuple to be matched by smart air conditioner 2. Group information. The electronic device 1 filters the device status information reported by the smart air conditioner 2 to determine the corresponding device status information to be matched; it calls the user-defined function UDF program to read the device status changes corresponding to the user quintuple information to be matched. Expression; obtain the device status information at the previous moment corresponding to the device status information to be matched, and determine the user to be matched based on the device status information to be matched, the device status information at the previous moment, and the corresponding device status change expression. Whether the tuple information matches the device status information to be matched; if so, associate the matching user five-tuple information with the device status information, and output the corresponding matching result. Using user-defined function programs and preset device status change expressions, there is no need to modify the code during the data association process. Only the device status change expressions need to be maintained, providing a more convenient data association method. And the data can be filtered to save storage space.

The embodiments of the present application will be described in detail below with reference to the accompanying drawings.

Embodiment 1

Figure 2 is a schematic flow chart of the information association method provided in Embodiment 1 of the present application. As shown in Figure 2, the execution subject of the information association method provided in this embodiment is an information association device. The information association device is located in an electronic device. Therefore, this The information association method provided by the embodiment includes the following steps:

Step 101: Obtain the user quintuple information to be matched by the smart device and the device status information reported by the smart device, filter the device status information reported by the smart device, and determine the corresponding Device status information to be matched.

In this embodiment, the five-tuple information includes user information, time information, address information, context information, and intention information. User information includes user identification, time information includes the time when the behavior occurs, address information includes area information where the air conditioner is located, and context information includes auxiliary information such as the current weather. Obtain the user quintuple information to be matched by the smart device and the device status information reported by the smart device. The device status information is reported by the device at a preset time interval, or is reported by the device when the user operates the device and causes the device status to change. owned. If the smart device reports device status information at preset intervals, but in fact, the device status has not changed, at this time the server side will receive multiple pieces of the same device status information. Therefore, it is necessary to report the obtained smart device status information. Device status information pieces are filtered and processed to determine the device status information to be matched.

Step 102: Call the user-defined function UDF program to read the device status change expression corresponding to the user quintuple information to be matched.

In this embodiment, multiple preset equipment status expressions are stored locally. The equipment status expressions include the status before the equipment change and the status after the change. For example, if the air conditioner performs a shutdown operation and the equipment status changes from on to off, the air conditioning equipment The status parameter onOffStatus will change from true to false, and the corresponding device status expression is: (onOffStatus=true)&& (prior_onOffStatus=false). The mapping relationship between the preset behavior information identifier and the device state change expression is determined based on the user behavior identifier corresponding to the user quintuple information to be matched and the mapping relationship between the preset behavior information identifier and the device state change expression. The user behavior identifier corresponding to the user quintuple information matches the behavior information identifier in the mapping relationship, and the device state change expression corresponding to the behavior information identifier in the matching mapping relationship is the device corresponding to the user quintuple information to be matched. The state change expression further calls the user-defined function program to read the device state expression corresponding to the user quintuple information to be matched.

Step 103: Obtain the device status information at the previous moment corresponding to the device status information to be matched, and determine the user to be matched based on the device status information to be matched, the device status information at the previous moment, and the corresponding device status change expression. Whether the tuple information matches the device status information to be matched.

In this embodiment, each device status information has its corresponding time information. According to the time information corresponding to the device status to be matched, the device status information at the previous moment of the device status information is determined, and the device status information is obtained. The device status information at the previous moment corresponding to the device status information to be matched. The purpose of matching is to find the device status information that matches the user quintuple information, so as to combine the matching user quintuple information with the device status information so that smart device developers can optimize the device itself or the program that controls the device. Therefore, it is necessary to find the matching device status information for the user quintuple information to be matched. Specifically, the device status information to be matched is determined based on the device status information to be matched, the device status information at the previous moment, and the corresponding device status change expression. Thus, the user quintuple information to be matched is determined.

Step 104: If yes, associate the matching user quintuple information with the device status information, and output the corresponding matching result.

In this embodiment, if it is determined that the user quintuple information to be matched matches the device status information to be matched, the matching user quintuple information is associated with the device status information, and the user quintuple information and the device status information are output matching results.

In this embodiment, the user quintuple information to be matched and the device status information reported by the smart device are obtained, the reported device status information is filtered, thereby determining the device status information to be matched, and the user-defined function is further called to read Get the device status change expression corresponding to the user quintuple information to be matched, and determine the user quintuple information to be matched and the device status change expression to be matched based on the device status information to be matched, the device status information at the previous moment, and the device status change expression. Whether the matching device status information matches, if the user quintuple information matches the device status information, associate the user quintuple information with the device status information to be matched, and output the matching result. Using user-defined function programs and preset device status change expressions, there is no need to modify the code during the data association process. Only the device status change expressions need to be maintained, providing a more convenient data association method. And the data can be filtered to save storage space.

Embodiment 2

Figure 3 is a schematic flow chart of the information association method provided in Embodiment 2 of this application. As shown in Figure 3, based on the information association method provided in Embodiment 1 of this application, step 101 is further refined, specifically including the following step:

Step 1011: Calculate the device status hash value of the device status information reported by the smart device, and select the device status hash value at any time.

In this embodiment, duplicate device status information is filtered by comparing hash values. The hash value is a hash algorithm that maps a binary value of any length into a smaller binary value of a fixed length. Value is a unique and extremely compact numerical representation of a piece of data. The hash value is a value obtained through logical operations based on the content of the file. The hash values obtained by different files are different, so the hash value becomes the ID card of each file. Calculate the device status hash value of the device status information reported by the smart device, and select the device status information at any time.

Step 1012: Obtain the device status hash value of the device status information of the previous moment corresponding to the device status hash value of the selected moment, and compare the device status hash value of the selected moment with the device status information of the previous moment. Status hashes are compared.

In this embodiment, the device status hash value of the device status information of the previous moment corresponding to the device status hash value of the selected moment is obtained, and then the device status hash value of the previous moment is determined based on the time information corresponding to the device status of the selected moment. Device status information, obtain the device status hash value of the device status information at the previous moment. The hash value is also calculated using hashing. The device status hash values corresponding to different states of the same device are also different. The selected moment will be The device status hash value is compared with the device status hash value of the device status at the previous moment to determine whether the two hash values are the same.

Step 1013: Filter the device status information reported by the smart device according to the hash value comparison result, and determine the filtered device status information as the device status information to be matched.

In this embodiment, the device status information reported by the smart device is filtered according to the comparison result of the device status hash value of the device status information at the selected moment and the device status hash value of the device status information at the previous moment to remove duplicates. Device status information determines the filtered device status information as the device status information to be matched.

Embodiment 3

Based on the information association method provided in Embodiment 1 of this application, step 1012 is further refined, specifically including the following steps:

Step 1012a: If the device status hash value at the selected time is consistent with the device status hash value of the device status information at the previous time, the device status information at this time and the device status hash value of the device at this time are deleted.

In this embodiment, if the device status hash value at the selected time is inconsistent with the device status hash value of the device status at the previous time, it means that the device status at the selected time is different from the device status at the previous time, and the device status occurs. Change, the device status information at the selected moment is the device status information reported after the device status changes.

Step 1012b: If the device status hash value at the selected time is inconsistent with the device status hash value of the device status information at the previous time, determine the device status information at the selected time with inconsistent hash values as the device status information to be matched. .

In this embodiment, if the device status hash value at the selected time is consistent with the device status hash value of the device status at the previous time, it means that the device status at the selected time is the same as the device status at the previous time, and the device status is not the same. When a change occurs, the device status information at the selected moment is not the device status information reported after the device status changes, but is reported by the device at a preset time interval.

Embodiment 4

Figure 4 is a schematic flow chart of the information association method provided in Embodiment 4 of the application. As shown in Figure 4, based on the information association method provided in Embodiment 1 of the application, step 102 is further refined, specifically including the following step:

Step 1021: Obtain the mapping relationship between the user behavior identifier corresponding to the user quintuple information to be matched and the preset behavior identifier and the device status change expression.

In this embodiment, the mapping relationship between preset identifiers and device status change expressions is stored locally. The user quintuple information is obtained based on the user behavior information reported by the smart device. Each behavior has its corresponding behavior identifier. Obtain The mapping relationship between the preset behavior identifier and the device state change expression and the user behavior identifier corresponding to the user quintuple information to be matched are used to find the required device state change expression.

Step 1022: Match the user behavior identifier corresponding to the user quintuple information to be matched with the preset behavior identifier in the mapping relationship.

In this embodiment, the user behavior identifier corresponding to the user quintuple information to be matched is matched with the preset behavior identifier in the mapping relationship, and the required device state change expression is determined based on the identifier matching result.

Step 1023: Call the user-defined function UDF program to read the device status change expression corresponding to the preset behavior identifier that matches the user behavior identifier.

In this embodiment, the preset behavior identifier that matches the user behavior identifier is determined. The device state change expression corresponding to the matching preset behavior identifier is the required device state change expression. The user-defined function program is called to read and match the user behavior identifier. The device state change expression corresponding to the preset behavior identifier that the behavior identifier matches.

Embodiment 5

Based on the information association method provided in Embodiment 1 of this application, step 103 is further refined, specifically including the following steps:

Step 1031: If the device status information to be matched is consistent with the device status information after the device status change in the expression and the device status information at the previous moment is consistent with the device status information before the device status change in the expression, then it is determined that the device status information to be matched is consistent. The matched user quintuple information matches the device status information to be matched.

In this embodiment, the device status information to be matched is compared with the device status information after the device status change in the expression, thereby determining whether the device status information to be matched and the device status information after the device status change in the expression are Consistent, and compare the device status information before the device status change in the device status information expression at the previous moment to determine whether the device status information before the device status change in the device status information expression at the previous moment is consistent. If the device status information to be matched is consistent with the device status information after the device status change in the expression and the device status information at the previous moment is consistent with the device status information before the device status change in the expression, it means that the behavior identifier corresponds The user behavior causes the device status to change, and the user quintuple information to be matched corresponding to the identification is determined to match the device status information to be matched. The matching user quintuple information and device status information are further associated for subsequent analysis.

Step 1032: If the device status information to be matched is inconsistent with the device status information after the device status change in the expression and/or the device status information at the previous moment is inconsistent with the device status information before the device status change in the expression, then It is determined that the user quintuple information to be matched does not match the device status information to be matched.

In this embodiment, if the device status information to be matched is consistent with the device status information after the device status change in the expression or the device status information at the previous moment is inconsistent with the device status information before the device status change in the expression, determine The corresponding user quintuple information to be matched does not match the device status information to be matched; if the device status information to be matched is inconsistent with the device status information after the device status change in the expression or the device status information at the previous moment It is consistent with the device status information before the device status change in the expression, and the user quintuple information to be matched corresponding to the determined identifier does not match the device status information to be matched; if the device status information to be matched does not match the device status information in the expression The device status information after the status change is inconsistent and the device status information at the previous moment is different from the one in the expression. The device status information before the device status change is inconsistent. It is determined that the user quintuple information to be matched corresponding to the identification does not match the device status information to be matched. Further delete the mismatched device status information to save storage space.

Embodiment 6

Figure 5 is a schematic flow chart of the information association method provided in Embodiment 6 of this application. As shown in Figure 5, based on the information association method provided in Embodiment 1 of this application, step 104 is further refined, specifically including the following step:

Step 1041: Determine whether there are multiple pieces of device status information matching the user quintuple information to be matched.

In this embodiment, the number of device status information matching the user quintuple information to be matched is obtained, and it is determined whether there are multiple device status information matching the user quintuple information to be matched, and whether it is necessary is determined based on the determination result. Filter multiple matching device status information.

Step 1042, if so, filter the multiple matching device status information according to the behavior occurrence time corresponding to the user quintuple information to be matched, obtain the filtered device status information, and compare the device status information with the matching user quintuple information. Group information association.

In this embodiment, if there are multiple pieces of device status information that match the user quintuple information to be matched, it is necessary to filter the multiple matching device status information. Specifically, obtain the data corresponding to the user quintuple information to be matched. Behavior occurrence time: filter multiple matching device status information according to the behavior occurrence time corresponding to the user quintuple information to be matched, obtain the filtered device status information, and compare the filtered device status information with the corresponding matching user Five-tuple information is associated.

Step 1043, if not, associate the matching user quintuple information with the device status information.

In this embodiment, if there is only one device status information that matches the user quintuple information to be matched, there is no need to filter multiple matching device status information, and the matching user quintuple information is directly combined with the device status information. association.

Embodiment 7

Figure 6 is a schematic flow chart of the information association method provided in Embodiment 7 of the application. As shown in Figure 6, based on the information association method provided in Embodiment 6 of the application, step 1042 is further refined, specifically including the following step:

Step 1042a: Obtain the behavior occurrence time corresponding to the user quintuple information to be matched, from multiple Matching device status information selects device status information within a preset time range after the behavior occurs.

In this embodiment, the user quintuple information includes the behavior occurrence time. The behavior occurrence time refers to the time when the user triggers the behavior. For example, if the user turns on the air conditioner at 9 o'clock, then the time corresponding to the behavior of turning on the air conditioner is 9 o'clock. . Obtain the behavior occurrence time corresponding to the user quintuple information to be matched. The user's behavior will trigger a change in the status of the smart device. Find the status data within a period of time after the behavior occurs, and select the behavior occurrence time from multiple matching device status information. Device status information within the subsequent preset time range. The preset time range can be set according to the actual situation. For example, set the preset time range to 10s and select the behavior after the occurrence time from multiple matching device status information. Device status information within 10 seconds.

Step 1042b: Sort the device status information according to the status occurrence time corresponding to the device status information within the preset time range, select the device status information corresponding to the status occurrence time closest to the behavior occurrence time, and determine the device status information to be filtered device status information.

In this embodiment, the device status information within the preset time range is sorted. Each device status information has its corresponding status occurrence time. The device status information is processed according to the status occurrence time corresponding to the device status information within the preset time range. Sorting, select the device status information corresponding to the state occurrence time that is closest to the behavior occurrence time, that is, select the device status information corresponding to the state occurrence time with the shortest time interval between the behavior occurrence time, and select the device status information corresponding to the state occurrence time that is closest to the behavior occurrence time. The status information is determined as filtered device status information.

Embodiment 8

Based on the information association method provided in Embodiment 1 of this application, before step 101, the following steps are also included:

Step 101a: Obtain the user behavior information reported by the smart device, generate corresponding user quintuple information based on the user behavior information reported by the smart device, and determine the user quintuple information as the user quintuple information to be matched by the smart device.

In this embodiment, the user behavior information reported by the smart device is obtained, and corresponding user quintuple information is generated based on the user behavior information reported by the smart device. The user quintuple information includes user information, time information, address information, context information, and intent. information. User information includes user identification, time information includes the time when the behavior occurs, address information includes area information where the air conditioner is located, and context information includes Current weather and other auxiliary information. The user quintuple information is determined as the user quintuple information to be matched by the smart device. Further, find the matching device status information for the user quintuple information to be matched.

Embodiment 9

Based on the information association method provided in Embodiment 1 of this application, after step 103, the following steps are also included:

Step 105, if not, delete the unmatched device status information.

In this embodiment, the purpose of matching is to find the device status information that matches the user quintuple information, so as to combine the matching user quintuple information with the device status information. Specifically, according to the device status information to be matched, the above The device status information at a moment and the corresponding device status change expression determine what is to be matched, thereby determining the user quintuple information to be matched. If it is determined that the user quintuple information to be matched does not match the device status information to be matched, the unmatched device status information is deleted to save storage space.

FIG. 7 is a schematic structural diagram of an information correlation device provided by an embodiment of the present application. As shown in FIG. 7 , the information correlation device 200 provided by this embodiment includes a determination unit 201 and a processing unit 202 .

Among them, the determining unit 201 is configured to obtain the user quintuple information to be matched by the smart device and the device status information reported by the smart device, and filter the device status information reported by the smart device to determine the corresponding device status to be matched. information. The processing unit 202 is configured to call a user-defined function UDF program to read the device status change expression corresponding to the user quintuple information to be matched. The determining unit 201 is also configured to obtain the device status information at the previous moment corresponding to the device status information to be matched, and determine the device status information to be matched based on the device status information to be matched, the device status information at the previous moment, and the corresponding device status change expression. Whether the matched user quintuple information matches the device status information to be matched. The processing unit 202 is also configured to associate the matching user quintuple information with the device status information if so, and output the corresponding matching result.

Optionally, the determining unit is also configured to calculate the device status hash value of the device status information reported by the smart device, select the device status hash value at any time, and obtain the device status hash value corresponding to the selected time. The device status hash value of the device status information at a moment, and compare the device status hash value at the selected moment with the device status hash value of the device status information at the previous moment; the smart device is evaluated based on the hash value comparison result. The reported device status information is filtered, and the filtered device status information is determined as the device status information to be matched.

Optionally, the determining unit is also configured to: if the device status hash value at the selected moment is consistent with the device status hash value of the device status information at the previous moment, then the device status information at this moment and the device status at this moment The device status hash value is deleted; if the device status hash value at the selected moment is inconsistent with the device status hash value of the device status information at the previous moment, the selected moment device status information with inconsistent hash values is determined to be matched. device status information.

Optionally, the processing unit is also configured to obtain the user behavior identifier corresponding to the user quintuple information to be matched and the mapping relationship between the preset behavior identifier and the device status change expression; The user behavior identifier matches the preset behavior identifier in the mapping relationship; the user-defined function UDF program is called to read the device state change expression corresponding to the preset behavior identifier that matches the user behavior identifier.

Optionally, the determining unit is also configured to determine if the device status information to be matched is consistent with the device status information after the device status change in the expression, and the device status information at the previous moment is consistent with the device status information before the device status change in the expression. If the status information is consistent, it is determined that the user quintuple information to be matched matches the device status information to be matched; if the device status information to be matched is inconsistent with the device status information after the device status change in the expression and/or the previous moment The device status information of the user is inconsistent with the device status information before the device status change in the expression, then it is determined that the user quintuple information to be matched does not match the device status information to be matched.

Optionally, the processing unit is also configured to determine whether there are multiple pieces of device status information that match the user quintuple information to be matched; if so, compare the multiple pieces of device status information based on the behavior occurrence time corresponding to the user quintuple information to be matched. Filter the matching device status information, obtain the filtered device status information, and associate the device status information with the matching user quintuple information; if not, associate the matching user quintuple information with the device status information.

Optionally, the processing unit is also configured to obtain the behavior occurrence time corresponding to the user quintuple information to be matched, and select device status information within a preset time range after the behavior occurrence time from multiple matching device status information; Sort the device status information according to the status occurrence time corresponding to the device status information within the preset time range, select the device status information corresponding to the status occurrence time closest to the behavior occurrence time, and determine the device status information as the filtered device status information.

Optionally, the processing unit is also configured to obtain user behavior information reported by the smart device, generate corresponding user quintuple information based on the user behavior information reported by the smart device, and convert the user quintuple information into The information is determined to be the user five-tuple information to be matched by the smart device.

Optionally, the determining unit is further configured to delete the unmatched device status information if not.

FIG. 8 is a first block diagram of an electronic device used to implement the information association method according to the embodiment of the present application. As shown in FIG. 8 , the electronic device 300 includes: a memory 301 and a processor 302 .

Memory 301 stores computer execution instructions;

The processor 302 executes the computer execution instructions stored in the memory 301, so that the processor executes the method provided by any of the above embodiments.

Figure 9 is a second block diagram of an electronic device used to implement the information association method according to the embodiment of the present application. As shown in Figure 9, the electronic device can be a computer, a digital broadcast terminal, a messaging device, a tablet device, or a personal digital assistant. Servers, server clusters, etc.

Electronic device 800 may include one or more of the following components: processing component 802, memory 804, power supply component 806, multimedia component 808, audio component 810, input/output (I/O) interface 812, sensor component 814, and communications component 816 .

Processing component 802 generally controls the overall operations of electronic device 800, such as operations associated with display, phone calls, data communications, camera operations, and recording operations. The processing component 802 may include one or more processors 820 to execute instructions to complete all or part of the steps of the above method. Additionally, processing component 802 may include one or more modules that facilitate interaction between processing component 802 and other components. For example, processing component 802 may include a multimedia module to facilitate interaction between multimedia component 808 and processing component 802.

Memory 804 is configured to store various types of data to support operations at electronic device 800 . Examples of such data include instructions for any application or method operating on the electronic device 800, contact data, phonebook data, messages, pictures, videos, etc. Memory 804 may be implemented by any type of volatile or non-volatile storage device, or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EEPROM), Programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disk.

Power supply component 806 provides power to various components of electronic device 800 . Power supply components 806 may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power to electronic device 800 .

Multimedia component 808 includes a screen that provides an output interface between electronic device 800 and the user. In some embodiments, the screen may include a liquid crystal display (LCD) and a touch panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive input signals from the user. The touch panel includes one or more touch sensors to sense touches, swipes, and gestures on the touch panel. A touch sensor can not only sense the boundaries of a touch or swipe action, but also detect the duration and pressure associated with the touch or swipe action. In some embodiments, multimedia component 808 includes a front-facing camera and/or a rear-facing camera. When the electronic device 800 is in an operating mode, such as a shooting mode or a video mode, the front camera and/or the rear camera may receive external multimedia data. Each front-facing camera and rear-facing camera can be a fixed optical lens system or have a focal length and optical zoom capabilities.

Audio component 810 is configured to output and/or input audio signals. For example, audio component 810 includes a microphone (MIC) configured to receive external audio signals when electronic device 800 is in operating modes, such as call mode, recording mode, and voice recognition mode. The received audio signal may be further stored in memory 804 or sent via communication component 816 . In some embodiments, audio component 810 also includes a speaker for outputting audio signals.

The I/O interface 812 provides an interface between the processing component 802 and a peripheral interface module, which may be a keyboard, a click wheel, a button, etc. These buttons may include, but are not limited to: Home button, Volume buttons, Start button, and Lock button.

Sensor component 814 includes one or more sensors for providing various aspects of status assessment for electronic device 800 . For example, the sensor component 814 can detect the open/closed state of the electronic device 800, the relative positioning of components, such as the display and keypad of the electronic device 800. The sensor component 814 can also detect the electronic device 800 or a component of the electronic device 800. Position changes, the presence or absence of user contact with the electronic device 800 , electronic device 800 orientation or acceleration/deceleration and temperature changes of the electronic device 800 . Sensor assembly 814 may include a proximity sensor configured to detect the presence of nearby objects without any physical contact. Sensor assembly 814 may also include a light sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, the sensor component 814 may also include an acceleration sensor, a gyroscope sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.

Communication component 816 is configured to facilitate wired or wireless methods between electronic device 800 and other devices. style communication. The electronic device 800 can access a wireless network based on a communication standard, such as WiFi, 2G or 3G, or a combination thereof. In one exemplary embodiment, the communication component 816 receives broadcast signals or broadcast related information from an external broadcast management system via a broadcast channel. In one exemplary embodiment, communications component 816 also includes a near field communications (NFC) module to facilitate short-range communications. For example, the NFC module can be implemented based on radio frequency identification (RFID) technology, infrared data association (IrDA) technology, ultra-wideband (UWB) technology, Bluetooth (BT) technology and other technologies.

In an exemplary embodiment, electronic device 800 may be configured by one or more application specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field programmable A programmable gate array (FPGA), controller, microcontroller, microprocessor or other electronic component implementation is used to perform the above method.

In an exemplary embodiment, a non-transitory computer-readable storage medium including instructions, such as a memory 804 including instructions, which can be executed by the processor 820 of the electronic device 800 to complete the above method is also provided. For example, non-transitory computer-readable storage media may be ROM, random access memory (RAM), CD-ROM, magnetic tape, floppy disk, optical data storage device, etc.

A non-transitory computer-readable storage medium, when the instructions in the storage medium are executed by the processor of the electronic device, enable the terminal device to execute the above-mentioned information association method of the electronic device.

In an exemplary embodiment, a computer program product is also provided, including a computer program that is used by a processor to execute the methods in the above-mentioned Embodiment 1 to Embodiment 4.

Other embodiments of the disclosure will be readily apparent to those skilled in the art from consideration of the specification and practice of the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of the disclosure that follow the general principles of the disclosure and include common knowledge or customary technical means in the technical field that are not disclosed in the disclosure. . It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.

It is to be understood that the present disclosure is not limited to the precise structures described above and illustrated in the accompanying drawings, and various modifications and changes may be made without departing from the scope thereof. The scope of the disclosure is limited only by the appended claims.

Claims

An information association method, including:

Obtain the user quintuple information to be matched by the smart device and the device status information reported by the smart device, and filter the device status information reported by the smart device to determine the corresponding device status information to be matched;

Call the user-defined function UDF program to read the device status change expression corresponding to the user quintuple information to be matched;

Obtain the device status information at the previous moment corresponding to the device status information to be matched, and determine the user quintuple information to be matched based on the device status information to be matched, the device status information at the previous moment, and the corresponding device status change expression. Whether it matches the device status information to be matched;

If so, associate the matching user quintuple information with the device status information, and output the corresponding matching result.
The method according to claim 1, wherein filtering the device status information reported by the smart device to determine the corresponding device status information to be matched includes:

Calculate the device status hash value of the device status information reported by the smart device, and select the device status hash value at any time;

Obtain the device status hash value of the device status information of the previous moment corresponding to the device status hash value of the selected moment, and combine the device status hash value of the selected moment with the device status hash of the device status information of the previous moment. Values are compared;

The device status information reported by the smart device is filtered according to the hash value comparison result, and the filtered device status information is determined as the device status information to be matched.
The method according to claim 2, wherein the device status information reported by the smart device is filtered according to the hash value comparison result, and the filtered device status information is determined as the device status information to be matched, including:

If the device status hash value at the selected moment is consistent with the device status hash value of the device status information at the previous moment, then the device status information at that moment and the device status hash value of the device at that moment are deleted;

If the device status hash value at the selected moment is the same as the device status of the device status information at the previous moment If the hash values are inconsistent, the device status information at the selected moment with inconsistent hash values is determined as the device status information to be matched.
The method according to claim 1, wherein the calling user-defined function UDF program reads the device status change expression corresponding to the user quintuple information to be matched, including:

Obtain the mapping relationship between the user behavior identifier corresponding to the user quintuple information to be matched and the preset behavior identifier and the device status change expression;

Match the user behavior identifier corresponding to the user quintuple information to be matched with the preset behavior identifier in the mapping relationship;

The user-defined function UDF program is called to read the device status change expression corresponding to the preset behavior identifier that matches the user behavior identifier.
The method according to claim 1, wherein the user quintuple information to be matched and the device to be matched are determined based on the device status information to be matched, the device status information at the previous moment and the corresponding device status change expression. Whether the status information matches, including:

If the device status information to be matched is consistent with the device status information after the device status change in the expression and the device status information at the previous moment is consistent with the device status information before the device status change in the expression, then it is determined that the device status information to be matched is to be matched. The user quintuple information matches the device status information to be matched;

If the device status information to be matched is inconsistent with the device status information after the device status change in the expression and/or the device status information at the previous moment is inconsistent with the device status information before the device status change in the expression, Then it is determined that the user quintuple information to be matched does not match the device status information to be matched.
The method according to claim 1, wherein the associating the matching user quintuple information with the device status information includes:

Determine whether there are multiple device status information matching the user quintuple information to be matched;

If so, filter the multiple matching device status information according to the behavior occurrence time corresponding to the user quintuple information to be matched, obtain the filtered device status information, and associate the device status information with the matching user quintuple information. ;

If not, associate the matching user quintuple information with the device status information.
The method according to claim 6, wherein the plurality of matching device status information is filtered according to the behavior occurrence time corresponding to the user quintuple information to be matched, and the filtered device status information is obtained. Preparation status information, including:

Obtain the behavior occurrence time corresponding to the user quintuple information to be matched, and select the device status information within a preset time range after the behavior occurrence time from multiple matching device status information;

Sort the device status information according to the status occurrence time corresponding to the device status information within the preset time range, select the device status information corresponding to the status occurrence time closest to the behavior occurrence time, and determine the device status information as the filtered device status information.
The method according to claim 1, wherein before obtaining the user quintuple information to be matched by the smart device, it further includes:

Obtain the user behavior information reported by the smart device, generate corresponding user quintuple information based on the user behavior information reported by the smart device, and determine the user quintuple information as the user quintuple information to be matched by the smart device.
The method according to claim 1, wherein the user quintuple information to be matched and the device to be matched are determined based on the device status information to be matched, the device status information at the previous moment and the corresponding device status change expression. After the status information matches, it also includes:

If not, delete the unmatched device status information.
An information association device, wherein the device includes:

The determination unit is configured to obtain the user quintuple information to be matched by the smart device and the device status information reported by the smart device, and filter the device status information reported by the smart device to determine the corresponding device status information to be matched;

The processing unit is set to call the user-defined function UDF program to read the device status change expression corresponding to the user quintuple information to be matched;

The determining unit is also configured to obtain the device status information at the previous moment corresponding to the device status information to be matched, and determine the device status information to be matched based on the device status information to be matched, the device status information at the previous moment, and the corresponding device status change expression. Whether the user quintuple information matches the device status information to be matched;

The processing unit is also set to, if yes, associate the matching user quintuple information with the device status information, and output the corresponding matching result.
The device according to claim 10, wherein the determining unit is further configured to calculate a device status hash value of the device status information reported by the smart device, and select the device status at any time therefrom. Hash value; obtain the device status hash value of the device status information at the previous moment corresponding to the device status hash value at the selected moment, and combine the device status hash value at the selected moment with the device status information at the previous moment. The device status hash values are compared; the device status information reported by the smart device is filtered according to the hash value comparison result, and the filtered device status information is determined as the device status information to be matched.
The device according to claim 11, wherein the determining unit is further configured to: if the device status hash value at the selected time is consistent with the device status hash value of the device status information at the previous time, then the device status at this time Information and the device status hash value of the device at that moment are deleted; if the device status hash value of the selected moment is inconsistent with the device status hash value of the device status information of the previous moment, the selected moment with inconsistent hash values will be deleted. The device status information is determined as the device status information to be matched.
The device according to claim 10, wherein the processing unit is further configured to obtain the mapping relationship between the user behavior identifier and the preset behavior identifier corresponding to the user quintuple information to be matched and the device status change expression; The user behavior identifier corresponding to the user quintuple information matches the preset behavior identifier in the mapping relationship; the user-defined function UDF program is called to read the device state change expression corresponding to the preset behavior identifier matching the user behavior identifier.
The device according to claim 10, wherein the determining unit is further configured to: if the device status information to be matched is consistent with the device status information after the device status change in the expression and the device status information at the previous moment is consistent with the expression If the device status information before the device status change in the formula is consistent, then it is determined that the user quintuple information to be matched matches the device status information to be matched; if the device status information to be matched is the same as the device status information in the expression after the device status change The device status information is inconsistent and/or the device status information at the previous moment is inconsistent with the device status information before the device status change in the expression, then it is determined that the user quintuple information to be matched and the device status information to be matched are not consistent. match.
The device according to claim 10, wherein the processing unit is further configured to determine whether there are multiple device status information matching the user quintuple information to be matched; if so, based on the corresponding user quintuple information to be matched Filter multiple matching device status information based on the behavior occurrence time, obtain the filtered device status information, and associate the device status information with the matching user quintuple information; if not, associate the matching user quintuple information with Associated with device status information.
The device according to claim 15, wherein the processing unit is further configured to obtain the to-be-matched The behavior occurrence time corresponding to the configured user five-tuple information, and select the device status information within the preset time range after the behavior occurrence time from multiple matching device status information; according to the device status information corresponding to the preset time range The device status information is sorted based on the status occurrence time, and the device status information corresponding to the status occurrence time closest to the behavior occurrence time is selected, and the device status information is determined as the filtered device status information.
The device according to claim 10, wherein the processing unit is further configured to obtain user behavior information reported by the smart device, generate corresponding user quintuple information according to the user behavior information reported by the smart device, and determine the user quintuple information. Five-tuple information of the user to be matched by the smart device.
The device according to claim 10, wherein the determining unit is further configured to delete the unmatched device status information if not.
An electronic device includes: a processor, and a memory communicatively connected to the processor;

The memory stores computer execution instructions;

The processor executes computer-executable instructions stored in the memory to implement the method according to any one of claims 1 to 9.
A computer-readable storage medium, wherein computer-executable instructions are stored in the computer-readable storage medium, and when executed by a processor, the computer-executable instructions are used to implement the method according to any one of claims 1 to 9 .
A computer program product includes a computer program that implements the method according to any one of claims 1 to 9 when executed by a processor.