CN-122020462-A - Household appliance accessory compatibility verification system based on multi-source data

CN122020462ACN 122020462 ACN122020462 ACN 122020462ACN-122020462-A

Abstract

The invention discloses a home appliance accessory compatibility verification system based on multi-source data, which relates to the technical field of intelligent home Internet of things, and forms compatibility risk judgment based on behavioral evidence in the equipment access and operation stage by converging and aligning operation data, network state data and user fault text, so that risk identification can be triggered without depending on a known list; in addition, network topology change, link quality and gateway transaction processing time delay are brought into threshold condition adjustment, and double counting criteria of continuous overrun and accumulated overrun are adopted, so that early warning trigger keeps stable for short-time fluctuation and interaction frequency change and responds to persistent abnormality.

Inventors

CAI CHAO
ZHANG LIZHI

Assignees

深圳富享智能家居科技有限公司

Dates

Publication Date: 20260512
Application Date: 20260126

Claims (10)

1. A home appliance accessory compatibility verification system based on multi-source data, comprising: the data acquisition and aggregation module is used for acquiring equipment identification information and operation data from accessory equipment to be accessed, existing intelligent household appliances and gateways thereof, acquiring network state data of the intelligent household network and acquiring user fault texts of external platforms; the feature construction module is used for generating communication behavior features from the operation data and the network state data, and extracting main equipment identification, associated equipment identification and abnormal phenomenon description from the user fault text; the anomaly identification module is used for outputting conflict scores and determining conflict modes based on the communication behavior characteristics and the anomaly descriptions; the risk knowledge base module is used for associating the conflict mode with the corresponding equipment identification information to generate a risk entry; and the early warning output module is used for outputting early warning information containing risk scene description and relief advice when new equipment is accessed or the conflict score exceeds a threshold value.
2. The multi-source data based home appliance accessory compatibility verification system of claim 1, wherein the device identification information comprises at least two of a device make, model, hardware version and firmware version.
3. The multi-source data based home appliance accessory compatibility verification system of claim 1, wherein the operational data comprises an application layer interaction instruction sequence, a response delay sequence corresponding to the instruction, and a device event log.
4. The home appliance accessory compatibility verification system based on multi-source data of claim 3, wherein said feature construction module comprises constructing an instruction transition probability matrix according to an interactive instruction sequence and calculating a distribution statistical feature of said response delay sequence within a sliding time window; The feature construction module discretizes an interaction instruction event into a state set when constructing an instruction transition probability matrix according to an interaction instruction sequence, counts first-order transition or chain-dependent second-order transition of adjacent states in a sliding time window, performs smoothing on sparse transition when generating the transition probability matrix by transition counting, forms a normal baseline transition matrix based on a history normal interaction sample, calculates a difference degree between the transition probability matrix and the normal baseline transition matrix, takes the difference degree as a part of communication behavior features, and inputs the difference degree into the anomaly identification module.
5. The multi-source data based home appliance accessory compatibility verification system of claim 1, wherein the network status data comprises at least one of network topology change events, wireless link quality metrics, and gateway transaction delays.
6. The multi-source data based home appliance accessory compatibility verification system of claim 1, wherein the feature construction module performs named entity recognition and reference resolution on the user fault text, and outputs a main device identification, an associated device identification, and an anomaly description, the anomaly description including at least an anomaly category.
7. The multi-source data based home appliance accessory compatibility verification system of claim 1, wherein the anomaly identification module encodes the communication behavior characteristics using a sequence encoding model and calculates the conflict score in combination with the anomaly descriptions, and the conflict pattern includes at least a trigger condition, an impact function, and a confidence level.
8. The multi-source data-based home appliance accessory compatibility verification system according to claim 1, wherein the threshold is a dynamic threshold which is adaptively updated based on a normal score statistical baseline formed by historical normal interaction samples, the dynamic threshold is used for correcting the normal score statistical baseline in online operation by combining actual result feedback recorded by a risk knowledge base module, the network state data is introduced to perform condition adjustment on the threshold when the dynamic threshold is constructed, the early warning output module simultaneously adopts continuous overrun times of conflict scores and accumulated overrun times in a preset time window as a counting criterion when triggering early warning, and the accumulated overrun times threshold is determined by the number of interaction events in the time window and a preset proportionality coefficient.
9. The multi-source data based home appliance accessory compatibility verification system of claim 1, wherein the mitigation advice comprises at least one of adjusting a device logical grouping, adjusting a polling and retry parameter of a target device by a gateway, switching wireless channels, or suggesting to suspend firmware upgrades to a particular device.
10. The multi-source data-based home appliance accessory compatibility verification system according to claim 1, wherein the risk knowledge base module records actual result feedback after early warning and uses the result feedback to update model parameters of the anomaly identification module.

Description

Household appliance accessory compatibility verification system based on multi-source data Technical Field The invention relates to the technical field of intelligent home Internet of things, in particular to a home appliance accessory compatibility verification system based on multi-source data. Background The ecology of the current intelligent home/household appliances is mostly composed of multiple brands of equipment, multiple communication protocols and different hardware combinations. In order to reduce the risk of access and interconnection, the existing compatibility verification mode is to check whether the accessory meets the corresponding protocol standard and has the prior condition of network access/interoperation based on the result of alliance authentication and compliance test, and also to match the equipment identification information (such as model, version, firmware/region SKU and the like) of the accessory with the compatibility list by combining the compatibility information maintained by the platform side or cloud so as to judge the connectivity and controllability of the accessory in the rule level. However, in an actual deployment environment, cross-vendor interoperability anomalies may occur even though the devices are affiliated with an authenticated protocol and are shown to be compatible at the inventory level. Such anomalies are often not protocol unsupported and are related to implementation differences and extension point usage, such as different trade-offs for protocol optional features (MAY/SHOULD), manufacturer private extensions (e.g., private profile or manufacturer custom clusters/commands/attributes), and processing timing differences for anomaly/boundary network events, etc., which MAY be triggered after multi-device concurrency control, long run, network topology changes or firmware version iterations, manifested as sporadic timeouts of instructions, out-of-sync states, intermittent offline of devices or functional degradation, etc. The above problems have strong scenario dependencies and sporadic behaviour, and traditional laboratory consistency testing and static manifest matching have difficulty covering all combinations and runtime sequences, making it difficult to identify in time the potential dynamic compatibility risks introduced by new device combinations/new firmware versions. Therefore, there is a need for an accessory compatibility verification mechanism that can fuse multi-source information and evaluate and pre-warn compatibility risks in a finer granularity towards runtime behavior. Disclosure of Invention The present invention has been made in view of the above-described problems occurring in the prior art. The invention provides a home appliance accessory compatibility verification system based on multi-source data, which solves the problems that authentication and static lists are difficult to cover and realize difference, and hidden interoperation conflicts are difficult to early warn. In order to solve the technical problems, the invention provides the following technical scheme: The embodiment of the invention provides a home appliance accessory compatibility verification system based on multi-source data, which comprises the following components: the data acquisition and aggregation module is used for acquiring equipment identification information and operation data from accessory equipment to be accessed, existing intelligent household appliances and gateways thereof, acquiring network state data of the intelligent household network and acquiring user fault texts of external platforms; the feature construction module is used for generating communication behavior features from the operation data and the network state data, and extracting main equipment identification, associated equipment identification and abnormal phenomenon description from the user fault text; the anomaly identification module is used for outputting conflict scores and determining conflict modes based on the communication behavior characteristics and the anomaly descriptions; the risk knowledge base module is used for associating the conflict mode with the corresponding equipment identification information to generate a risk entry; and the early warning output module is used for outputting early warning information containing risk scene description and relief advice when new equipment is accessed or the conflict score exceeds a threshold value. As an optimal scheme of the home appliance accessory compatibility verification system based on the multi-source data, the equipment identification information at least comprises more than two of equipment brands, models, hardware versions and firmware versions. As an optimal scheme of the home appliance accessory compatibility verification system based on the multi-source data, the operation data comprises an application layer interaction instruction sequence, a response delay sequence corresponding to the instruction and a device eve