A data interaction method and Internet of Things collaboration all-in-one machine

Abstract

The present invention provides a data interaction method and an Internet of Things collaboration all-in-one machine, which belongs to the field of data processing technology, and specifically comprises: based on a data interaction mode, determining associated collaborative screens of a collaborative screen in different data interaction modes, and combining historical interaction data with different associated collaborative screens in the data interaction mode, determining that when a detection requirement coefficient of the collaborative screen in the data interaction mode is within a preset interval, using the data interaction mode with the detection requirement coefficient within the preset interval as a screening interaction mode, determining fault data of the screening interaction mode in different collaborative screens, and combining the detection requirement coefficient of the collaborative screen in the screening interaction mode, determining a detection strategy of the collaborative screen in the screening interaction mode, performing fault detection processing on the interaction data of the screening interaction mode of the collaborative screen using the detection strategy to obtain a detection result, and using the detection result to dynamically adjust the detection strategy of the screening interaction mode, thereby improving the efficiency of the detection processing.

Description

Technical Field

[0001] The present invention belongs to the technical field of data processing, and in particular relates to a data interaction method and an Internet of Things collaboration all-in-one machine. Background Art

[0002] The IoT smart collaboration screen is suitable for multiple scenarios such as building management, industrial workshops and functional rooms. How to realize data interaction processing between IoT smart collaboration screens and ensure the reliability of data interaction has become a technical problem that needs to be solved urgently.

[0003] In order to solve the data interaction processing of the IoT smart collaborative screen, the invention patent application CN202111598790.4 "Smart Collaborative Screen and Smart Collaborative Screen Control System and Method" can receive multiple signals input through encoding, and has a visual interface for multiple signal sources, so as to realize data interaction of multiple signal sources and improve the efficiency of data interaction between different signal sources. However, there are the following technical problems:

[0004] When performing data interaction processing on collaborative screens, due to the differences in the node positions of different collaborative screens, the data interaction processing requirements of different collaborative screens are also quite different. If differentiated data interaction processing methods cannot be generated according to the data interaction processing requirements of different collaborative screens, the reliability of the data interaction processing of the collaborative screens cannot be guaranteed.

[0005] In response to the above technical problems, the present invention provides a data interaction method and an Internet of Things collaboration all-in-one machine. Summary of the invention

[0006] To achieve the purpose of the present invention, the present invention adopts the following technical solutions:

[0007] According to one aspect of the present invention, a data interaction method is provided.

[0008] A data interaction method, specifically comprising:

[0009] S1 determines the associated collaborative screen of the collaborative screen based on the associated collaborative situation of the collaborative screen, and proceeds to the next step when it is determined that the collaborative screen does not belong to the preset interaction type according to the historical interaction data between the associated collaborative screen and the collaborative screen in different data interaction modes;

[0010] S2 determines the associated collaborative screens of the collaborative screen in different data interaction modes based on the data interaction mode, and combines the historical interaction data with different associated collaborative screens in the data interaction mode to determine that the detection requirement coefficient of the collaborative screen in the data interaction mode is within a preset range, and then proceeds to the next step;

[0011] S3: taking the data interaction mode with the detection demand coefficient within the preset range as the screening interaction mode, determining the fault data of the screening interaction mode in different collaborative screens, and determining the detection strategy of the collaborative screen in the screening interaction mode in combination with the detection demand coefficient of the collaborative screen in the screening interaction mode;

[0012] S4 uses the detection strategy to perform fault detection processing on the interaction data of the screening interaction mode of the collaborative screen to obtain a detection result, and uses the detection result to dynamically adjust the detection strategy of the screening interaction mode.

[0013] A further technical solution is that the associated collaborative screen of the collaborative screen is a collaborative screen that has data interaction with the collaborative screen.

[0014] A further technical solution is that the data interaction method includes voice instructions, touch operation instructions, and image data interaction.

[0015] A further technical solution is to determine that the collaborative screen does not belong to a preset interaction type, specifically including:

[0016] Determine the number of historical interactions in different data interaction modes based on historical interaction data between the associated collaborative screen and the collaborative screen in different data interaction modes;

[0017] The total number of historical interactions is determined according to the number of historical interactions of different data interaction modes, and whether the collaborative screen belongs to a preset interaction type is determined based on the total number of historical interactions.

[0018] A further technical solution is that when the total number of historical interactions is greater than a preset number threshold, it is determined that the collaborative screen belongs to a preset interaction type.

[0019] A further technical solution is to dynamically adjust the detection strategy of the screening interaction mode by using the detection results, which specifically includes:

[0020] The detection result is used to determine the number of failures corresponding to the screening interaction mode, and the number of failures is used to determine whether it is necessary to dynamically adjust the detection strategy of the screening interaction mode.

[0021] A further technical solution is that, when the number of failures does not meet the requirement, it is determined that there is no need to dynamically adjust the detection strategy of the screening interaction mode.

[0022] In a second aspect, the present invention provides an IoT collaborative all-in-one machine, which adopts the above-mentioned data interaction method, specifically comprising:

[0023] Interaction type determination module, demand coefficient evaluation module, detection strategy determination module, strategy adjustment module;

[0024] The interaction type determination module is responsible for determining the associated collaborative screen of the collaborative screen based on the associated collaborative situation of the collaborative screen, and determining whether the collaborative screen belongs to the preset interaction type according to the historical interaction data between the associated collaborative screen and the collaborative screen in different data interaction modes;

[0025] The demand coefficient evaluation module is responsible for determining the associated collaborative screens of the collaborative screen in different data interaction modes based on the data interaction mode, and combining the historical interaction data with different associated collaborative screens in the data interaction mode to determine whether the detection demand coefficient of the collaborative screen in the data interaction mode is within a preset range;

[0026] The detection strategy determination module is responsible for taking the data interaction mode with the detection requirement coefficient within the preset interval as the screening interaction mode, determining the fault data of the screening interaction mode on different collaborative screens, and combining the detection requirement coefficient of the collaborative screen in the screening interaction mode to determine the detection strategy of the collaborative screen in the screening interaction mode;

[0027] The strategy adjustment module is responsible for using the detection strategy to perform fault detection processing on the interaction data of the screening interaction mode of the collaborative screen to obtain a detection result, and using the detection result to dynamically adjust the detection strategy of the screening interaction mode.

[0028] The beneficial effects of the present invention are:

[0029] Based on the historical interaction data of the associated collaborative screen and the collaborative screen in different data interaction modes, it is determined whether the collaborative screen belongs to the preset interaction type, thereby realizing the determination of the collaborative screen with more frequent data interaction from the perspective of the historical interaction frequency of the associated collaborative screen and the collaborative screen in different data interaction modes, thereby improving the reliability of detection and processing of collaborative screens with more frequent data interaction, and also laying the foundation for determining differentiated detection strategies for interaction processing of different collaborative screens.

[0030] The detection results are used to dynamically adjust the detection strategy of the screening interaction mode, avoiding the technical problem of low efficiency of fault detection processing due to the large number of failures in the detection results under the screening interaction mode. The dynamic adjustment of the detection strategy is realized, which not only ensures the efficiency of the detection processing, but also reduces the difficulty of the detection processing.

[0031] Other features and advantages will be described in the following description. The objects and other advantages of the present invention are realized and obtained by the structures particularly pointed out in the description and drawings.

[0032] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, preferred embodiments are given below and described in detail with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] The above and other features and advantages of the present invention will become more apparent by describing in detail exemplary embodiments thereof with reference to the attached drawings.

[0034] Figure 1 It is a flow chart of a data interaction method;

[0035] Figure 2 is a flow chart of a method for determining a detection demand coefficient of a data interaction mode;

[0036] Figure 3 is a flow chart of a method for determining a detection strategy of the collaborative screen in the screening interaction mode;

[0037] Figure 4 It is a framework diagram of an IoT collaborative all-in-one machine. DETAILED DESCRIPTION

[0038] In order to enable those skilled in the art to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below in conjunction with the drawings in the embodiments of this specification. Obviously, the described embodiments are only part of the embodiments of this specification, not all of the embodiments. Based on the embodiments of this specification, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of this specification.

[0039] When performing data interaction processing on collaborative screens, the data interaction processing requirements of different collaborative screens also vary greatly. Therefore, differentiated data interaction processing methods are generated according to the data interaction processing requirements of different collaborative screens to improve the reliability of data interaction processing on collaborative screens.

[0040] Determining that the collaborative screen belongs to a preset interaction type: taking collaborative screens having more than 10 associated collaborative screens that interact with the collaborative screen as collaborative screens of the preset interaction type.

[0041] Detection requirement coefficient of collaborative screen in data interaction mode: determined according to the historical number of interactions of the associated collaborative screen in the data interaction mode, and specifically determined according to the number of associated collaborative screens with a historical number of interactions greater than 20 times.

[0042] The detection strategy of the collaborative screen in the screening interaction mode: determine the corrected demand coefficient by multiplying the proportion of the number of collaborative screens with faults in the screening interaction mode by the detection demand coefficient, and determine the detection strategy of the collaborative screen in the screening interaction mode by using the preset detection strategy corresponding to the corrected demand coefficient.

[0043] Dynamically adjust the detection strategy for the screening interaction mode: use the detection result to determine the number of failures corresponding to the screening interaction mode, and use the number of failures to determine whether it is necessary to dynamically adjust the detection strategy for the screening interaction mode.

[0044] Embodiment 1 To solve the above problem, according to one aspect of the present invention, Figure 1 As shown, a data interaction method is provided, which specifically includes:

[0045] S1 determines the associated collaborative screen of the collaborative screen based on the associated collaborative situation of the collaborative screen, and proceeds to the next step when it is determined that the collaborative screen does not belong to the preset interaction type according to the historical interaction data between the associated collaborative screen and the collaborative screen in different data interaction modes;

[0046] S2 determines the associated collaborative screens of the collaborative screen in different data interaction modes based on the data interaction mode, and combines the historical interaction data with different associated collaborative screens in the data interaction mode to determine that the detection requirement coefficient of the collaborative screen in the data interaction mode is within a preset range, and then proceeds to the next step;

[0047] S3: taking the data interaction mode with the detection demand coefficient within the preset range as the screening interaction mode, determining the fault data of the screening interaction mode in different collaborative screens, and determining the detection strategy of the collaborative screen in the screening interaction mode in combination with the detection demand coefficient of the collaborative screen in the screening interaction mode;

[0048] S4 uses the detection strategy to perform fault detection processing on the interaction data of the screening interaction mode of the collaborative screen to obtain a detection result, and uses the detection result to dynamically adjust the detection strategy of the screening interaction mode.

[0049] Furthermore, the associated collaborative screen of the collaborative screen is a collaborative screen that has data interaction with the collaborative screen.

[0050] Specifically, the data interaction method includes voice instructions, touch operation instructions, and image data interaction.

[0051] It should be noted that determining that the collaborative screen does not belong to the preset interaction type specifically includes:

[0052] Determine the number of historical interactions in different data interaction modes based on historical interaction data between the associated collaborative screen and the collaborative screen in different data interaction modes;

[0053] The total number of historical interactions is determined according to the number of historical interactions of different data interaction modes, and whether the collaborative screen belongs to a preset interaction type is determined based on the total number of historical interactions.

[0054] It can be understood that when the total number of historical interactions is greater than a preset number threshold, it is determined that the collaborative screen belongs to a preset interaction type.

[0055] Furthermore, when the collaborative screen belongs to a preset interaction type, a preset detection strategy is used to perform fault detection processing of the collaborative screen in different data interaction modes.

[0056] Optionally, determining that the collaborative screen does not belong to a preset interaction type specifically includes:

[0057] Determine the number of historical interactions in different data interaction modes based on historical interaction data between the associated collaborative screen and the collaborative screen in different data interaction modes;

[0058] According to the historical interaction times of different data interaction methods, data interaction methods with historical interaction times greater than the preset interaction times are performed;

[0059] Based on the data interaction mode in which the number of historical interactions is greater than the preset number of interactions, it is determined whether the collaborative screen belongs to the preset interaction type.

[0060] Optionally, determining that the collaborative screen does not belong to a preset interaction type specifically includes:

[0061] S11 determines historical interaction data with different associated collaborative screens in different data interaction modes based on historical interaction data between the associated collaborative screen and the collaborative screen in different data interaction modes;

[0062] Optionally, the above step S11 includes the following contents:

[0063] S111 determines the number of historical interactions in different data interaction modes based on the historical interaction data between the associated collaborative screen and the collaborative screen. When the total number of historical interactions is greater than a preset number threshold, it is determined that the collaborative screen belongs to a preset interaction type. When the total number of historical interactions is not greater than the preset number threshold, the process proceeds to step S112.

[0064] S112 determines whether the collaborative screen belongs to the preset interaction type based on the historical interaction times of different data interaction modes, and determines whether the collaborative screen belongs to the preset interaction type based on the data interaction mode whose historical interaction times are greater than the preset interaction times. If so, it is determined that the collaborative screen belongs to the preset interaction type. If not, it proceeds to step S113;

[0065] S113 determines historical interaction data with different associated collaborative screens in different data interaction modes based on the historical interaction data between the associated collaborative screen and the collaborative screen in different data interaction modes, and proceeds to step S12.

[0066] S12 determines the number of historical interactions in different data interaction modes according to the historical interaction data with different associated collaborative screens in different data interaction modes, and determines the interaction frequency coefficients of different associated collaborative screens by using the number of historical interactions in different data interaction modes;

[0067] Optionally, the above step S12 includes steps S121-S123, specifically:

[0068] S121 determines the number of historical interactions in different data interaction modes according to the historical interaction data with different associated collaborative screens in different data interaction modes, and determines the total number of historical interactions of different associated collaborative screens based on the number of historical interactions in different data interaction modes. When there is an associated collaborative screen whose total number of historical interactions is greater than a preset interaction number threshold, the process proceeds to step S122; when there is no associated collaborative screen whose total number of historical interactions is greater than the preset interaction number threshold, the process proceeds to step S123;

[0069] S122: when the number of associated collaborative screens whose total number of historical interactions is greater than the preset interaction number threshold does not meet the requirement, it is determined that the collaborative screen belongs to the preset interaction type; when the number of associated collaborative screens whose total number of historical interactions is greater than the preset interaction number threshold meets the requirement, the process proceeds to step S123;

[0070] S123 determines the interaction frequency coefficients of different associated collaborative screens by using the historical interaction times in different data interaction modes. When the number of associated collaborative screens whose interaction frequency coefficients are greater than the preset frequency coefficients does not meet the requirements, it is determined that the collaborative screen belongs to the preset interaction type. When the number of associated collaborative screens whose interaction frequency coefficients are greater than the preset frequency coefficients meets the requirements, it proceeds to step S13.

[0071] S13 determines a comprehensive frequency coefficient based on the interaction frequency coefficients of different associated collaborative screens, and uses the comprehensive frequency coefficient to determine whether the collaborative screen belongs to a preset interaction type.

[0072] Specifically, Figure 2 As shown, the method for determining the detection requirement coefficient of the data interaction mode is:

[0073] The associated collaborative screen of the collaborative screen in the data interaction mode is used as a matching collaborative screen, and the number of historical interactions between the matching collaborative screen and the collaborative screen in the data interaction mode is determined according to the historical interaction data between the matching collaborative screen and the collaborative screen in the data interaction mode;

[0074] Based on the historical number of interactions with the collaborative screen, a matching collaborative screen whose historical number of interactions is greater than a preset number limit is determined, and the matching collaborative screen is used as a matching screening collaborative screen;

[0075] The detection requirement coefficient of the data interaction mode is determined by the number of matching and screening collaborative screens.

[0076] Further, determining the detection requirement coefficient of the data interaction mode by the number of matching and screening collaborative screens specifically includes:

[0077] The detection requirement coefficient of the data interaction mode is determined based on the ratio of the matching screening collaboration screen to the collaboration screen.

[0078] In another embodiment, the method for determining the detection requirement coefficient of the data interaction mode is:

[0079] The associated collaborative screen of the collaborative screen in the data interaction mode is used as a matching collaborative screen, and the number of historical interactions between the matching collaborative screen and the collaborative screen in the data interaction mode is determined according to the historical interaction data between the matching collaborative screen and the collaborative screen in the data interaction mode;

[0080] Based on the historical number of interactions with the collaborative screen, determining the total number of historical interactions between different matching collaborative screens and the collaborative screen;

[0081] The detection requirement coefficient of the data interaction mode is determined by the total number of historical interactions between different matching collaborative screens and the collaborative screen.

[0082] Optionally, the method for determining the detection requirement coefficient of the data interaction mode is:

[0083] S21: taking the associated collaborative screen of the collaborative screen in the data interaction mode as a matching collaborative screen, and determining the number of historical interactions between the matching collaborative screen and the collaborative screen in the data interaction mode according to the historical interaction data between the matching collaborative screen and the collaborative screen in the data interaction mode;

[0084] S22 determines a data interaction coefficient of the matching collaborative screen based on the number of historical interactions between the matching collaborative screen and the collaborative screen in the data interaction mode;

[0085] S23 determines the detection requirement coefficient of the data interaction mode through data interaction coefficients of different matching collaborative screens.

[0086] Furthermore, when the detection requirement coefficient of the collaborative screen in the data interaction mode is not within the preset interval, when the detection requirement coefficient of the collaborative screen in the data interaction mode is greater than the preset requirement coefficient threshold, it is determined that the collaborative screen adopts the preset detection strategy for fault detection processing under the data interaction mode; when the detection requirement coefficient of the collaborative screen in the data interaction mode is not greater than the preset requirement coefficient threshold, it is determined that the collaborative screen adopts the second preset detection strategy for fault detection processing under the data interaction mode.

[0087] It should also be noted that the preset detection strategy is to perform real-time detection, and the second preset detection strategy is to perform detection processing according to a second detection cycle.

[0088] It can be understood that the failure data of the collaborative screen includes the number of failures of the collaborative screen in the screening interaction mode.

[0089] Specifically, Figure 3 As shown, the method for determining the detection strategy of the collaborative screen in the screening interaction mode is:

[0090] Determine the number of failures of the screening interaction mode based on the failure data of the screening interaction mode on different collaborative screens;

[0091] Determining a failure weight coefficient of the screening interaction mode based on the number of failures of the screening interaction mode;

[0092] A modified demand coefficient of the screening interaction mode is determined based on the detection demand coefficient of the screening interaction mode and the fault weight coefficient, and a detection strategy of the collaborative screen in the screening interaction mode is determined using the modified demand coefficient.

[0093] Furthermore, the failure weight coefficient of the screening interaction mode is determined according to a preset weight coefficient corresponding to the number of failures of the screening interaction mode.

[0094] It should also be noted that the correction requirement coefficient of the screening interaction mode is determined according to the product of the detection requirement coefficient of the screening interaction mode and the fault weight coefficient.

[0095] It can be understood that the detection strategy of the collaborative screen in the screening interaction mode is determined by using the modified demand coefficient, specifically including:

[0096] A set detection strategy corresponding to the screening interaction mode is determined based on the modified demand coefficient, and a detection strategy of the collaborative screen in the screening interaction mode is determined using the corresponding set detection strategy.

[0097] Optionally, the method for determining the detection strategy of the screening interaction mode by the collaborative screen is:

[0098] Determine the number of failures of the screening interaction mode based on the failure data of the screening interaction mode on different collaborative screens, and when the number of failures of the screening interaction mode is greater than a preset number of failures, determine the detection strategy of the collaborative screen in the screening interaction mode using a preset detection strategy;

[0099] When the number of failures in the screening interaction mode is not greater than the preset number of failures:

[0100] Based on the fault data of different collaborative screens, the number of faults of different collaborative screens is determined. When it is determined that there is a collaborative screen whose number of faults is greater than a preset threshold of the number of faults according to the number of faults of different collaborative screens:

[0101] The collaborative screens with a number of failures greater than a preset number of failures threshold are regarded as faulty collaborative screens. When the number of faulty collaborative screens is greater than the preset number of collaborative screens, a preset detection strategy is used to determine the detection strategy of the collaborative screen in the screening interaction mode.

[0102] When the number of faulty collaborative screens is not greater than the preset number of collaborative screens or it is determined based on the number of faults on different collaborative screens that there is no collaborative screen with a number of faults greater than the preset threshold:

[0103] Based on the number of failures of different collaborative screens under the screening interaction mode, a failure weight coefficient of the screening interaction mode is determined; when the failure weight coefficient of the screening interaction mode is greater than a preset weight coefficient threshold, a preset detection strategy is used to determine a detection strategy of the collaborative screen in the screening interaction mode;

[0104] When the fault weight coefficient of the screening interaction mode is greater than the preset weight coefficient threshold:

[0105] A modified demand coefficient of the screening interaction mode is determined based on the detection demand coefficient of the screening interaction mode and the fault weight coefficient, and a detection strategy of the collaborative screen in the screening interaction mode is determined using the modified demand coefficient.

[0106] Furthermore, the detection result includes the number of failures corresponding to the screening interaction mode.

[0107] Specifically, dynamically adjusting the detection strategy for screening the interaction mode by using the detection result specifically includes:

[0108] The detection result is used to determine the number of failures corresponding to the screening interaction mode, and the number of failures is used to determine whether it is necessary to dynamically adjust the detection strategy of the screening interaction mode.

[0109] It should be noted that, when the number of failures does not meet the requirement, it is determined that there is no need to dynamically adjust the detection strategy of the screening interaction mode.

[0110] Embodiment 2 In the second aspect, as Figure 4 As shown, the present invention provides an Internet of Things collaboration all-in-one machine, which adopts the above-mentioned data interaction method, specifically including:

[0111] Interaction type determination module, demand coefficient evaluation module, detection strategy determination module, strategy adjustment module;

[0112] The interaction type determination module is responsible for determining the associated collaborative screen of the collaborative screen based on the associated collaborative situation of the collaborative screen, and determining whether the collaborative screen belongs to the preset interaction type according to the historical interaction data between the associated collaborative screen and the collaborative screen in different data interaction modes;

[0113] The demand coefficient evaluation module is responsible for determining the associated collaborative screens of the collaborative screen in different data interaction modes based on the data interaction mode, and combining the historical interaction data with different associated collaborative screens in the data interaction mode to determine whether the detection demand coefficient of the collaborative screen in the data interaction mode is within a preset range;

[0114] The detection strategy determination module is responsible for taking the data interaction mode with the detection requirement coefficient within the preset interval as the screening interaction mode, determining the fault data of the screening interaction mode on different collaborative screens, and combining the detection requirement coefficient of the collaborative screen in the screening interaction mode to determine the detection strategy of the collaborative screen in the screening interaction mode;

[0115] The strategy adjustment module is responsible for using the detection strategy to perform fault detection processing on the interaction data of the screening interaction mode of the collaborative screen to obtain a detection result, and using the detection result to dynamically adjust the detection strategy of the screening interaction mode.

[0116] Optionally, the above step S21 includes steps S211-S213, which are specifically:

[0117] S211: taking the associated collaborative screen of the collaborative screen in the data interaction mode as a matching collaborative screen, and determining the number of historical interactions between the matching collaborative screen and the collaborative screen in the data interaction mode according to the historical interaction data between the matching collaborative screen and the collaborative screen in the data interaction mode;

[0118] S212 determines the total number of historical interactions between different matching collaborative screens and the collaborative screen based on the number of historical interactions with the collaborative screen. When the total number of historical interactions with the collaborative screen is greater than a preset total number threshold, it is determined that the collaborative screen uses a preset detection strategy to perform fault detection processing in the data interaction mode. When the total number of historical interactions with the collaborative screen is not greater than the preset total number threshold, the process proceeds to step S213.

[0119] S213 takes the matching collaborative screens whose historical interaction times are greater than the preset number limit as matching filtered collaborative screens. When the number of the matching filtered collaborative screens is greater than the preset number of matching collaborative screens, it is determined that the collaborative screen adopts the preset detection strategy to perform fault detection processing under the data interaction mode. When the number of the matching filtered collaborative screens is not greater than the preset number of matching collaborative screens, the process proceeds to step S12.

[0120] Optionally, the above step S22 includes steps S221-S223, specifically:

[0121] S221 determines the data interaction coefficient of the matching collaborative screen based on the number of historical interactions between the matching collaborative screen and the collaborative screen in the data interaction mode. When the average value of the data interaction coefficients of different matching collaborative screens is less than a preset coefficient threshold, the process proceeds to step S222. When the average value of the data interaction coefficients of different matching collaborative screens is not less than the preset coefficient threshold, the process proceeds to step S223.

[0122] S222: when the number of matching collaborative screens is less than the preset number of matching collaborative screens, it is determined that the collaborative screen adopts the second preset detection strategy to perform fault detection processing in the data interaction mode; when the number of matching collaborative screens is not less than the preset number of matching collaborative screens, the process proceeds to step S223;

[0123] S223: When the number of matching collaborative screens in the preset interaction number interval of the data interaction coefficient meets the requirement, it is determined that the collaborative screen adopts a preset detection strategy to perform fault detection processing under the data interaction mode; when the number of matching collaborative screens in the preset interaction number interval of the data interaction coefficient does not meet the requirement, proceed to step S23.

[0124] Each embodiment in this specification is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the device, equipment, and non-volatile computer storage medium embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment.

[0125] The above is a description of a specific embodiment of the specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recorded in the claims can be performed in an order different from that in the embodiments and still achieve the desired results. In addition, the processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0126] The above description is only one or more embodiments of this specification and is not intended to limit this specification. For those skilled in the art, one or more embodiments of this specification may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of one or more embodiments of this specification shall be included in the scope of the claims of this specification.

Claims

1. A data interaction method, characterized in that: Specifically include: Determine the associated collaborative screen of the collaborative screen based on the associated collaborative situation of the collaborative screen, and proceed to the next step when it is determined that the collaborative screen does not belong to the preset interaction type based on the historical interaction data between the associated collaborative screen and the collaborative screen in different data interaction modes; Based on the data interaction mode, the associated collaborative screens of the collaborative screen in different data interaction modes are determined, and when the detection requirement coefficient of the collaborative screen in the data interaction mode is determined to be within a preset range in combination with the historical interaction data with different associated collaborative screens in the data interaction mode, the next step is entered; The data interaction mode with the detection requirement coefficient within the preset range is used as the screening interaction mode, the fault data of the screening interaction mode on different collaborative screens is determined, and the detection strategy of the collaborative screen in the screening interaction mode is determined in combination with the detection requirement coefficient of the collaborative screen in the screening interaction mode; Using the detection strategy to perform fault detection processing on the interaction data of the screening interaction mode of the collaborative screen to obtain a detection result, and using the detection result to dynamically adjust the detection strategy of the screening interaction mode; When the detection requirement coefficient of the collaborative screen in the data interaction mode is not within the preset interval, when the detection requirement coefficient of the collaborative screen in the data interaction mode is greater than the preset requirement coefficient threshold, it is determined that the collaborative screen adopts the preset detection strategy for fault detection processing in the data interaction mode; when the detection requirement coefficient of the collaborative screen in the data interaction mode is not greater than the preset requirement coefficient threshold, it is determined that the collaborative screen adopts the second preset detection strategy for fault detection processing in the data interaction mode.

2. The data interaction method according to claim 1, characterized in that: The associated collaborative screen of the collaborative screen is a collaborative screen that has data interaction with the collaborative screen.

3. The data interaction method according to claim 1, characterized in that: The data interaction methods include voice commands, touch operation commands, and image data interaction.

4. The data interaction method according to claim 1, characterized in that: Determining that the collaborative screen does not belong to a preset interaction type specifically includes: Determine the number of historical interactions in different data interaction modes based on historical interaction data between the associated collaborative screen and the collaborative screen in different data interaction modes; The total number of historical interactions is determined according to the number of historical interactions of different data interaction modes, and whether the collaborative screen belongs to a preset interaction type is determined based on the total number of historical interactions.

5. The data interaction method according to claim 4, characterized in that: When the total number of historical interactions is greater than a preset number threshold, it is determined that the collaborative screen belongs to a preset interaction type.

6. The data interaction method according to claim 1, characterized in that: When the collaborative screen belongs to a preset interaction type, a preset detection strategy is used to perform fault detection processing of the collaborative screen in different data interaction modes.

7. The data interaction method according to claim 1, characterized in that: The failure data of the collaborative screen includes the number of failures of the collaborative screen in the screening interaction mode.

8. The data interaction method according to claim 1, characterized in that: The detection result is used to dynamically adjust the detection strategy of the screening interaction mode, specifically including: The detection result is used to determine the number of failures corresponding to the screening interaction mode, and the number of failures is used to determine whether it is necessary to dynamically adjust the detection strategy of the screening interaction mode.

9. An Internet of Things collaborative all-in-one machine, using a data interaction method according to any one of claims 1 to 8, characterized in that: Specifically include: Interaction type determination module, demand coefficient evaluation module, detection strategy determination module, strategy adjustment module; The interaction type determination module is responsible for determining the associated collaborative screen of the collaborative screen based on the associated collaborative situation of the collaborative screen, and determining whether the collaborative screen belongs to the preset interaction type according to the historical interaction data between the associated collaborative screen and the collaborative screen in different data interaction modes; The demand coefficient evaluation module is responsible for determining the associated collaborative screens of the collaborative screen in different data interaction modes based on the data interaction mode, and combining the historical interaction data with different associated collaborative screens in the data interaction mode to determine whether the detection demand coefficient of the collaborative screen in the data interaction mode is within a preset range; The detection strategy determination module is responsible for taking the data interaction mode with the detection requirement coefficient within the preset interval as the screening interaction mode, determining the fault data of the screening interaction mode on different collaborative screens, and combining the detection requirement coefficient of the collaborative screen in the screening interaction mode to determine the detection strategy of the collaborative screen in the screening interaction mode; The strategy adjustment module is responsible for using the detection strategy to perform fault detection processing on the interaction data of the screening interaction mode of the collaborative screen to obtain a detection result, and using the detection result to dynamically adjust the detection strategy of the screening interaction mode.

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