Multi-tenant store patrol monitoring third-party platform device management system based on a compatibility layer

Abstract

The present invention relates to the field of digital information transmission technology, specifically a multi-tenant store patrol monitoring third-party platform device management system based on a compatibility layer. The specific implementation process includes: obtaining the original IoT message stream and importing it into the protocol parsing array, reconstructing it into a monitoring semantic packet and sending it into the wide-area distribution link; injecting tenant information tags and placing them in the mimetic transfer space, automatically adsorbing them to the virtual isolation container, and triggering a degradation mechanism when it is detected that the information tags do not match the container environment; when signaling congestion occurs, using an elastic echo proxy to synthesize a spatio-temporal mirror copy, feeding back the mimetic information flow to the terminal while activating the reverse signaling blocking pulse. The present invention realizes the parsing and encapsulation of multi-source heterogeneous protocols through protocol distillation and semantic capsules, and uses virtual isolation containers to ensure the security isolation of multi-tenant concurrent access. By using an elastic echo proxy to answer repeated polls, it effectively suppresses the network bandwidth consumption caused by high-frequency direct connections and improves the congestion problem of core information nodes.

Description

Technical Field

[0001] This invention relates to the field of digital information transmission technology, specifically to a multi-tenant store patrol monitoring third-party platform device management system based on a compatibility layer. Background Technology

[0002] With the development of cloud computing networks and IoT data transmission technologies, traditional security monitoring is rapidly evolving towards cloud-based video applications, primarily based on the SaaS model. In scenarios requiring remote inspection, such as chain retail, more and more enterprises are inclined to introduce third-party platforms for unified management of equipment and digital information transmission across geographical regions. In the existing network transmission architecture, third-party platforms typically need to traverse wide area networks to provide access, signaling control, and multimedia streaming data distribution services for a massive number of front-end video surveillance devices (such as network cameras and NVRs) to multiple tenants. This typical distributed network transmission architecture mainly relies on backend signaling gateways and streaming media servers to establish network connections with underlying devices via TCP or UDP protocols, directly receiving and forwarding control signaling and audio / video data packets based on standard network communication protocols, thereby enabling basic remote store inspection video retrieval and monitoring and management of equipment online status.

[0003] However, existing technologies have inherent flaws in practical applications. Due to the lack of absolutely unified standards for network transmission protocols, data packet encapsulation formats, and control signaling adopted by various equipment manufacturers, existing platforms typically use direct connection adaptation or hard-coded gateways for network handshakes and communication. This network architecture, lacking middleware buffering, results in a high degree of coupling between the platform's business control logic and the underlying physical transmission protocol. When facing proprietary network protocols, it cannot achieve dynamic parsing, conversion, and encapsulation of digital information at the data link and network layers, making the network system extremely difficult to be compatible with heterogeneous devices and incurring huge expansion costs. At the level of multi-tenant network resource allocation and routing, existing technologies typically use flat and shared data stream transmission and signaling distribution channels, lacking tenant logical isolation and dynamic routing scheduling mechanisms based on the network protocol layer. When faced with multiple tenants concurrently requesting access to data on the same network node, existing systems cannot effectively achieve secure offloading and bandwidth isolation of signaling and video streams, easily leading to network congestion at core switching nodes, data packet streaming, and even unauthorized access, among other transmission security risks.

[0004] In summary, existing technologies not only struggle to build loosely coupled, highly reliable digital information transmission and routing architectures in complex wide area network transmission environments with massive access from heterogeneous devices and high concurrency access from multiple tenants, but also fail to achieve dynamic parsing of multi-source heterogeneous underlying communication protocols and unified encapsulation of internal standard protocol formats at the network layer. This results in network bandwidth consumption and signaling congestion bottlenecks caused by direct high-frequency polling.

[0005] To address this, a third-party platform device management system for multi-tenant store patrol monitoring based on a compatibility layer was proposed. Summary of the Invention

[0006] The purpose of this invention is to provide a third-party platform device management system for multi-tenant store inspection monitoring based on a compatibility layer, so as to manage the platform devices for multi-tenant store inspection monitoring.

[0007] To achieve the above objectives, the present invention provides the following technical solution:

[0008] A third-party platform device management system for multi-tenant store inspection monitoring based on a compatibility layer includes:

[0009] The data processing module acquires the original IoT message stream from the multi-tenant monitoring terminal and imports it into the protocol parsing array. It uses semantic extraction operators to remove encapsulation redundancy and reconstructs it into a monitoring semantic packet containing atomic control instructions and visual feature vectors, which is then sent into the wide-area distribution link.

[0010] The virtual isolation module injects tenant information tags with dynamic timeliness into the monitoring semantic packets when they enter the wide area distribution link and places them into the mimicry flow space. The information transmission nodes in the mimicry flow space automatically absorb the monitoring semantic packets into the corresponding virtual isolation containers according to the tenant information tags, and trigger the information degradation mechanism to clear unauthorized data when the information tag characteristics are detected to be mismatched with the container environment.

[0011] In the congestion management module, when signaling congestion occurs due to concurrent multi-tenant store inspection requests, the elastic echo agent deployed at the edge of the virtual isolation container captures the flowing monitoring semantic packets and synthesizes a spatiotemporal mirror copy. When repeated polling requests for the same information transmission node are identified, the elastic echo agent calls the spatiotemporal mirror copy to feed back the mimicry information flow to the multi-tenant monitoring terminal. At the same time, the virtual isolation container activates the reverse signaling blocking pulse and intercepts redundant downlink commands.

[0012] Preferably, the specific implementation process of acquiring the original IoT message stream of the multi-tenant monitoring terminal and importing it into the protocol parsing array, using semantic extraction operators to remove encapsulation redundancy, and reconstructing it into a monitoring semantic packet containing atomic control commands and visual feature vectors, and then sending it into the wide-area distribution link includes:

[0013] The system receives the original IoT message stream uploaded by the multi-tenant monitoring terminal, identifies the characteristics of the underlying communication protocol, activates the protocol parsing array to unpack the protocol, and extracts the application layer load data stream. It then uses a semantic extraction operator to perform pattern matching on the application layer load data stream, separating the status control signaling and multimedia video stream. Private protocol header bytes and redundant check bits in the status control signaling and multimedia video stream are discarded, and signaling parameters are extracted to construct atomic control instructions. Frame decoding and feature dimensionality reduction are performed on the multimedia video stream to extract visual feature vectors. Finally, the atomic control instructions and visual feature vectors are serialized and packaged according to the network encapsulation format to generate a monitoring semantic packet, which is then sent to the wide-area distribution link.

[0014] Preferably, the specific implementation process of injecting tenant information tags containing dynamic timeliness into the monitoring semantic packet when it enters the wide-area distribution link and deploying it to the pseudo-transfer space includes:

[0015] The system intercepts monitoring semantic packets at the entry point of the wide-area distribution link, parses the source device network address and tenant identity identifier corresponding to the monitoring semantic packets, initiates a verification request to the session authentication center, obtains the dynamic authorization token and lifecycle parameters of the corresponding tenant, generates a tenant information tag with dynamic validity based on the dynamic authorization token and lifecycle parameters, and appends the tenant information tag as an extended message header to the network transport layer encapsulation of the monitoring semantic packets, reads the information transmission node and node load information of the mimicry flow space, calculates the initial route delivery path of the monitoring semantic packets, and encapsulates the monitoring semantic packets carrying the tenant information tags into tunnel protocol data packets according to the initial route delivery path, and delivers them to the mimicry flow space through the security gateway.

[0016] Preferably, the specific implementation process of the information transmission node within the simulated flow space automatically attaching the monitoring semantic packets to the corresponding virtual isolation container based on the tenant information tags, and triggering an information degradation mechanism to clear unauthorized data when a mismatch between the information tag characteristics and the container environment is detected includes:

[0017] Within the mimicry flow space, the information transmission node receives and decapsulates tunnel protocol data packets, extracts monitoring semantic packets and their extended message headers; reads the tenant information tag in the extended message header and compares its bitwise bits with the virtual isolation container environment tag configured locally by the current information transmission node; when the comparison result indicates consistency and the tenant information tag has not decayed, a data flow forwarding rule is established from the current network interface to the corresponding virtual isolation container, and the monitoring semantic packet is imported into the exclusive memory processing area of ​​the corresponding tenant; when the comparison result indicates inconsistency and the affinity information tag times out, the master control routing process of the information transmission node intercepts the monitoring semantic packet; triggers the information degradation mechanism to send a connection reset message to the multi-tenant monitoring terminal, discards the cached data block occupied by the monitoring semantic packet at the underlying network driver layer, and clears unauthorized data.

[0018] Preferably, when concurrent multi-tenant store inspection requests cause signaling congestion, the specific implementation process of the elastic echo proxy deployed at the edge of the virtual isolation container capturing the flowing monitoring semantic packets and synthesizing a spatiotemporal mirror copy includes:

[0019] Continuously monitor the network throughput and connection request establishment rate of the virtual isolation container; when the network throughput exceeds the preset bandwidth threshold and the connection request establishment rate reaches the signaling congestion state, wake up the elastic echo agent deployed on the edge network card of the virtual isolation container; the elastic echo agent bypasses the monitoring semantic packets flowing through the network switching interface, parses and caches the atomic control instructions and visual feature vectors in the monitoring semantic packets; extracts the latest timestamp of the status feature word of the atomic control instruction and the visual feature vector, allocates an independent storage page in the memory cache of the elastic echo agent; writes the status feature word and the visual feature vector into the independent storage page, and combines the current online status identifier of the device with the network port mapping relationship to synthesize a spatiotemporal mirror copy.

[0020] Preferably, when repeated polling requests for the same information transmission node are detected, the specific implementation process of the elastic echo agent calling the spatiotemporal mirror copy to feed back the mimicry information flow to the multi-tenant monitoring terminal includes:

[0021] The elastic echo agent intercepts downlink polling request messages sent by multi-tenant monitoring terminals to the same information transmission node and parses the target device network identifier in the downlink polling request message; it queries the elastic echo agent's memory cache to match the spatiotemporal mirror copy corresponding to the target device network identifier; it extracts the device online status identifier and timing coherence feature words from the spatiotemporal mirror copy, and constructs a mimicry information flow according to the keep-alive message format of the underlying communication protocol; it uses the multi-tenant monitoring terminal as the destination network address and encapsulates the mimicry information flow into a response data packet; bypassing the backend signaling gateway, the elastic echo agent sends the response data packet to the multi-tenant monitoring terminal through the edge network interface, completing the localized response to the device status.

[0022] Preferably, the specific implementation process of the virtual isolation container simultaneously activating the reverse signaling blocking pulse and intercepting redundant downlink commands includes:

[0023] After confirming that the signaling congestion persists and the elastic echo agent has taken over the polling response, the virtual isolation container activates a reverse signaling blocking pulse; it extracts the protocol signature and source port information from the downlink polling request message to generate a network access control list rule; the network access control list rule is distributed to the routing table of the virtual switch at the front end of the virtual isolation container, and the virtual switch matches the network access control list rule to intercept all redundant downlink control commands sent to the protected backend device; the intercepted redundant downlink control commands are silently discarded, and at the same time, a protocol control message carrying congestion backoff parameters is returned to the multi-tenant monitoring terminal; the retransmission mechanism of the multi-tenant monitoring terminal is suppressed to release the signaling processing bandwidth and underlying network link resources of the backend information transmission node.

[0024] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0025] 1. This invention introduces a compatibility layer parsing and reconstruction structure between the network layer and the transport layer by constructing a protocol parsing array and a monitoring semantic packet mechanism. This enables dynamic unpacking, redundancy removal, and unified semantic encapsulation of multi-source heterogeneous private protocols. It allows the underlying IoT raw message stream to undergo standardized reassembly before entering the wide-area distribution link, improving the problem of high coupling between business control logic and physical communication protocols in direct connection adaptation mode. This enhances the system's compatibility and scalability with devices from different vendors, and reduces the cost of secondary development or hard-coding modifications to the core gateway program when adding new devices.

[0026] 2. This invention injects dynamically time-sensitive tenant information tags into monitoring semantic packets and combines this with an automatic adsorption mechanism of a mimicry flow space and virtual isolation containers to achieve multi-tenant logical isolation and dynamic routing scheduling control based on the network protocol layer. This allows the monitoring semantic packets to complete tenant-level path constraints and container affiliation binding during transmission. Upon detecting invalid or mismatched information tags, an information degradation mechanism is triggered immediately to proactively clear unauthorized data and reset the connection. This effectively prevents data crosstalk and unauthorized access risks in wide area network transmission environments, improving transmission security and isolation reliability in multi-tenant concurrent access scenarios.

[0027] 3. This invention constructs a spatiotemporal mirror copy and mimicry information flow response mechanism by deploying an elastic echo proxy at the edge of a virtual isolation container. When signaling congestion and duplicate polling requests are detected, the edge side completes a localized response and simultaneously activates a reverse signaling blocking pulse to intercept redundant downlink control commands and suppress retransmission behavior of multi-tenant terminals. This reduces the processing pressure on the core signaling gateway and backend information transmission nodes, reduces network bandwidth consumption and congestion amplification effects caused by high-frequency direct connections, and improves the throughput stability and link utilization efficiency of the system in multi-tenant high-concurrency store inspection scenarios. Attached Figure Description

[0028] Figure 1 This is a structural diagram of the multi-tenant store patrol monitoring third-party platform equipment management system based on the compatibility layer proposed in this invention;

[0029] Figure 2 This is a schematic diagram of the information degradation mechanism proposed in this invention;

[0030] Figure 3 This is a flowchart of the multi-tenant platform device management process proposed in this invention. Detailed Implementation

[0031] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be described in detail below with reference to the accompanying drawings and specific embodiments. It must be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to constitute any limitation on the scope of protection of this invention. Therefore, all equivalent changes or modifications conceived by those skilled in the art based on the content disclosed in this invention without inventive effort should fall within the scope of protection claimed by this invention.

[0032] Example 1:

[0033] This embodiment provides a multi-tenant store patrol monitoring third-party platform device management system based on a compatibility layer, referencing... Figure 1 The system includes a data processing module, a virtual isolation module, and a congestion management module.

[0034] The data processing module acquires the original IoT message stream from the multi-tenant monitoring terminal and imports it into the protocol parsing array. It uses semantic extraction operators to remove encapsulation redundancy and reconstructs it into a monitoring semantic packet containing atomic control instructions and visual feature vectors, which is then sent into the wide-area distribution link.

[0035] The virtual isolation module injects tenant information tags with dynamic timeliness into the monitoring semantic packets when they enter the wide area distribution link and places them into the mimicry flow space. The information transmission nodes in the mimicry flow space automatically absorb the monitoring semantic packets into the corresponding virtual isolation containers according to the tenant information tags, and trigger the information degradation mechanism to clear unauthorized data when the information tag characteristics are detected to be mismatched with the container environment.

[0036] In the congestion management module, when signaling congestion occurs due to concurrent multi-tenant store inspection requests, the elastic echo agent deployed at the edge of the virtual isolation container captures the flowing monitoring semantic packets and synthesizes a spatiotemporal mirror copy. When repeated polling requests for the same information transmission node are identified, the elastic echo agent calls the spatiotemporal mirror copy to feed back the mimicry information flow to the multi-tenant monitoring terminal. At the same time, the virtual isolation container activates the reverse signaling blocking pulse and intercepts redundant downlink commands.

[0037] Furthermore, the specific implementation process of acquiring the original IoT message stream of the multi-tenant monitoring terminal and importing it into the protocol parsing array, using semantic extraction operators to remove encapsulation redundancy, and reconstructing it into a monitoring semantic packet containing atomic control commands and visual feature vectors, and then sending it into the wide-area distribution link includes:

[0038] The system receives the original IoT message stream uploaded by the multi-tenant monitoring terminal, identifies the characteristics of the underlying communication protocol, activates the protocol parsing array to unpack the protocol, and extracts the application layer load data stream. It then uses a semantic extraction operator to perform pattern matching on the application layer load data stream, separating the status control signaling and multimedia video stream. Private protocol header bytes and redundant check bits in the status control signaling and multimedia video stream are discarded, and signaling parameters are extracted to construct atomic control instructions. Frame decoding and feature dimensionality reduction are performed on the multimedia video stream to extract visual feature vectors. Finally, the atomic control instructions and visual feature vectors are serialized and packaged according to the network encapsulation format to generate a monitoring semantic packet, which is then sent to the wide-area distribution link.

[0039] Specifically, the multi-tenant monitoring terminal establishes a long connection via Transmission Control Protocol (TCP) or User Datagram Protocol (UDP) and periodically uploads the original IoT message stream. This original IoT message stream includes a link layer frame header, a network layer header, a transport layer header, and vendor-defined application layer load data. The application layer load data carries a mixture of state control signaling and video stream segments. In a measured environment, with at least 500 front-end cameras connected to a single tenant, the average length of the original message is 1300 bytes, with proprietary protocol headers and redundancy check fields accounting for approximately 20% or more. The platform first receives the original IoT message stream at the compatibility layer entry point and scans and matches the port number, feature fields, start flag, and field order in the message using protocol feature identification. The protocol parsing array includes multiple parallel-configured protocol parsing units, each with a built-in field template and state machine description file corresponding to the vendor's protocol. When a matching underlying communication protocol feature is identified, the corresponding protocol parsing unit is scheduled to perform a depackaging operation, stripping the link layer, network layer, and transport layer encapsulations and extracting the application layer load data stream. For messages that cannot be directly matched, the protocol parsing array uses fuzzy matching to compare the similarity of key fields. During this process, the system extracts header flags and structural feature strings from unknown messages and compares and scores them against existing protocol templates in the database. The preset threshold for determining whether classification is successful is a reference benchmark set based on conventional engineering experience and test data in this field. Specifically, during system deployment or the initial phase of new device batch access, engineers collect a segment of real, anonymized network traffic containing the target heterogeneous protocol and input it into the parsing array for simulated classification, either offline or in bypass mode. By observing the correct classification ratio of messages under different comparison scores, engineers can intuitively determine an empirical score that maximizes the identification of variant private protocols while keeping system anomalies caused by misclassification within a tolerable range, and set this as the preset threshold.

[0040] Meanwhile, during the system's long-term online operation, if the network environment changes or new firmware versions from equipment manufacturers are widely deployed, the platform administrator can flexibly fine-tune this threshold in the operations and maintenance control panel based on the parsing error alarm rate logs in the system's backend. This parameter selection method, which relies on early sample testing and combines it with later operational status statistics for dynamic experience-based adjustment, is a common adaptation method for achieving a balance between compatibility and stability in multi-tenant systems. Through this setting method, the system can complete protocol classification while ensuring the false positive rate remains below the preset threshold, thereby achieving dynamic identification and parsing of heterogeneous private protocols.

[0041] After extracting the application layer load data stream, the semantic extraction operator performs pattern matching on the load data stream. The semantic extraction operator pre-constructs a control signaling syntax skeleton library and a video stream syntax skeleton library, recording the common control field order, parameter range, and video frame start flag and timestamp format, respectively. By performing byte-level scanning of the application layer load data stream, it identifies the control command start flag and video frame boundary flag, splitting the mixed data stream into a status control signaling sub-stream and a multimedia video stream sub-stream. In a real-world test scenario, for a mixed transmission of an average of 30 frames per second video stream and periodic status reporting signaling, the semantic extraction operator can achieve millisecond-level splitting latency in a single-core processing environment, and a single node can stably process over 20,000 mixed messages per second.

[0042] After separating the status control signaling and multimedia video streams, the system performs redundancy stripping on both types of data. For the status control signaling, the protocol parsing array discards private protocol header bytes, retains valid control parameter fields, and removes duplicate check bits and padding fields according to preset field mapping rules, retaining only core signaling parameters related to device operating status, control actions, and error codes. Statistics show that after stripping, the average length of a single control signaling message is reduced from the original two hundred bytes to less than one hundred bytes, effectively reducing the transmission load of subsequent links.

[0043] For multimedia video streams, the system first performs frame-level decoding to extract timestamps, resolution information, and feature region data from keyframes or reference frames. Then, it extracts visual feature vectors using a feature reduction algorithm. It's important to note that the feature reduction algorithm used here employs existing, well-known and mature dimensionality reduction techniques and feature extraction methods in computer vision, such as principal component analysis, vector quantization, or basic statistical pooling. Specifically, the system uses these conventional algorithms to process and calculate high-dimensional image pixel matrices or low-level motion vectors. It generates the average scene brightness by averaging the pixel values ​​in different regions, obtains motion intensity indicators using conventional inter-frame differencing or optical flow statistics, and identifies key target contour descriptions using basic edge detection operators. The system then performs simple combination and serialization encoding of the feature values ​​extracted by these mature and well-known algorithms to construct the dimensionality-reduced visual feature vector. This visual feature vector is directly used for subsequent intelligent store inspection analysis. Its core purpose is to eliminate massive amounts of redundant background pixel data and encapsulate control semantics with these lightweight visual features.

[0044] After extracting signaling parameters and generating visual feature vectors, the system constructs atomic control instructions. These atomic control instructions use single-function semantics as the smallest control unit, standardizing the encoding of device number, control action type, time stamp, and status code to form a unified control structure decoupled from underlying vendor protocols. Subsequently, the atomic control instructions and visual feature vectors are serialized and packaged according to a unified network encapsulation format to generate a monitoring semantic packet. The monitoring semantic packet includes a semantic identifier header, a tenant identifier reserved area, an atomic control instruction area, and a visual feature vector area. Each field is encoded using a fixed length or length indication method to ensure rapid parsing and forwarding in the wide-area distribution link. After encapsulation, the monitoring semantic packet is written to a standardized transmission buffer queue through the wide-area distribution link interface.

[0045] This embodiment achieves dynamic parsing and standardized conversion of heterogeneous protocols through a protocol parsing array, precise splitting and redundancy removal of signaling and video data through a semantic extraction operator, and unified encapsulation of control semantics and visual features through a monitoring semantic packet. This significantly improves the transmission efficiency, processing performance and protocol compatibility of the multi-tenant store patrol monitoring system in a wide area network environment within the field of digital information transmission.

[0046] Furthermore, the specific implementation process of injecting tenant information tags containing dynamic timeliness into the monitoring semantic packet when it enters the wide-area distribution link and deploying it to the pseudo-flow space includes:

[0047] The system intercepts monitoring semantic packets at the entry point of the wide-area distribution link, parses the source device network address and tenant identity identifier corresponding to the monitoring semantic packets, initiates a verification request to the session authentication center, obtains the dynamic authorization token and lifecycle parameters of the corresponding tenant, generates a tenant information tag with dynamic validity based on the dynamic authorization token and lifecycle parameters, and appends the tenant information tag as an extended message header to the network transport layer encapsulation of the monitoring semantic packets, reads the information transmission node and node load information of the mimicry flow space, calculates the initial route delivery path of the monitoring semantic packets, and encapsulates the monitoring semantic packets carrying the tenant information tags into tunnel protocol data packets according to the initial route delivery path, and delivers them to the mimicry flow space through the security gateway.

[0048] Specifically, at the wide-area distribution link entry point, monitoring semantic packets entering the transmission buffer queue can be intercepted in real time through a combination of kernel bypass listening and user-space protocol parsing. These monitoring semantic packets have undergone standardized encapsulation of atomic control instructions and visual feature vectors, and their headers reserve tenant and device identifier fields. The system first parses the source device network address, device unique identifier, and tenant identity identifier from the monitoring semantic packets and writes the parsing results to the session context buffer.

[0049] After identity resolution, the system sends a verification request to the session authentication center. The session authentication center is deployed in a logically isolated authentication domain and employs a time-slice-based round-robin authorization management strategy, assigning a dynamic authorization token and corresponding lifecycle parameters to each tenant. The dynamic authorization token includes a unique tenant code, a permission level identifier, an accessible resource range identifier, and a valid time interval identifier. The lifecycle parameters limit the effective duration of the authorization token at the network transport layer. In a practical application case, taking a chain retail enterprise's cross-regional store inspection platform as an example, a single tenant receives over 100,000 concurrent inspection requests daily. The authorization token lifecycle is set to several minutes, and the token refresh cycle matches the session persistence cycle, thus ensuring security while avoiding performance degradation caused by frequent authentication. System statistics show that after enabling the dynamic authorization mechanism, the illegal replay packet identification rate significantly improved, and the abnormal access interception rate reached a high level.

[0050] After obtaining the dynamic authorization token and lifecycle parameters, the system generates a tenant information tag with dynamic expiration based on the token content. The tenant information tag consists of a tenant identifier digest, permission mapping code, time decay factor, and verification identifier, and is encoded using symmetric encryption to prevent tampering during transmission. The tenant information tag is written into the extended header of the monitoring semantic packet and embedded in the network transport layer encapsulation structure, allowing it to be directly read by information transmission nodes during subsequent routing. By embedding tenant identity information in the transport layer extended header, tenant attribute binding based on the protocol layer is achieved. After injecting the tenant information tag, the system reads the node load information and health status indicators of each information transmission node in the pseudo-flow space. The pseudo-flow space consists of multiple logical partitions, each configured with several information transmission nodes. Nodes are interconnected via a tunneling protocol and periodically report their current processing load, bandwidth utilization, and number of sessions. Based on the permission mapping code and node load information in the tenant information tag, the initial routing delivery path of the monitoring semantic packet is calculated. The initial route delivery path not only considers the shortest transmission path, but also combines tenant isolation strategy and node load balancing strategy to avoid a large number of capsules from the same tenant flooding into a single node.

[0051] After path calculation is completed, the system encapsulates the monitoring semantic packet carrying tenant information tags into a tunnel protocol data packet. The tunnel protocol data packet has a security encapsulation header added to its outer layer, including the tunnel identifier, target node address, and integrity verification field, and undergoes unified encryption and access control verification through a security gateway. The security gateway performs source verification and integrity checks on the outer tunnel message to ensure that only legally generated monitoring semantic packets can enter the mimicry flow space. After the above encapsulation and verification are completed, the monitoring semantic packet is officially deployed to the mimicry flow space, where it is received by the corresponding information transmission node and subjected to subsequent adsorption and isolation processing.

[0052] This embodiment utilizes tenant information tags to generate and embed extended message headers via dynamic authorization tokens, enabling tenant attributes to be matched and determined during network forwarding. This avoids relying on repeated authentication by upper-layer services, thereby reducing processing latency and improving concurrency capabilities. The path calculation mechanism based on the node load and tenant mapping relationship improves the stability and resource utilization efficiency of the wide-area distribution link in high-concurrency store inspection scenarios, effectively enhancing the security isolation capabilities, dynamic scheduling capabilities, and transmission reliability of the multi-tenant monitoring platform in a wide area network environment.

[0053] Furthermore, the specific implementation process of the information transmission nodes within the mimicry flow space automatically attaching monitoring semantic packets to the corresponding virtual isolation containers based on tenant information tags, and triggering an information degradation mechanism to clear unauthorized data when a mismatch between information tag characteristics and the container environment is detected, includes:

[0054] Within the mimicry flow space, the information transmission node receives and decapsulates tunnel protocol data packets, extracts monitoring semantic packets and their extended message headers; reads the tenant information tag in the extended message header and compares its bitwise bits with the virtual isolation container environment tag configured locally by the current information transmission node; when the comparison result indicates consistency and the tenant information tag has not decayed, a data flow forwarding rule is established from the current network interface to the corresponding virtual isolation container, and the monitoring semantic packet is imported into the exclusive memory processing area of ​​the corresponding tenant; when the comparison result indicates inconsistency and the affinity information tag times out, the master control routing process of the information transmission node intercepts the monitoring semantic packet; triggers the information degradation mechanism to send a connection reset message to the multi-tenant monitoring terminal, discards the cached data block occupied by the monitoring semantic packet at the underlying network driver layer, and clears unauthorized data.

[0055] Reference Figure 2 Specifically, the simulated flow space consists of several information transmission nodes, each interconnected with a security gateway via a tunneling protocol and carrying multiple logically partitioned virtual isolation containers. These information transmission nodes continuously monitor tunneling protocol data packets from the security gateway at the network interface layer. When a tunneling protocol data packet carrying a monitoring semantic packet is received, the tunnel decapsulation first performs integrity and source address validity checks on the outer tunnel header. After successful verification, the tunnel encapsulation is stripped, and the internal monitoring semantic packet and its extended header are extracted. In a real-world test environment, under a load condition where a single node receives no less than 20,000 tunneling protocol data packets per second, the average latency of decapsulation and verification processing remains within milliseconds, meeting the real-time requirements of high-concurrency store inspection scenarios.

[0056] After decapsulation, the information transmission node reads the tenant information tag from the extended packet header. The tenant information tag includes a tenant identifier digest, permission mapping code, time decay flag, and integrity verification field. The information transmission node locally maintains a virtual isolation container environment tag table, which records the tenant identifier code, resource access permission range, and container instance status flag for each virtual isolation container. The information transmission node invokes a comparison engine to perform a bit-level comparison between the tenant identifier digest in the tenant information tag and the virtual isolation container environment tag, while simultaneously determining the validity of the time decay flag to confirm whether the tenant information tag is within its authorized lifecycle. To ensure matching accuracy, the comparison engine executes in kernel mode, avoiding performance degradation caused by frequent context switching. Under typical operating conditions, a single node can support over 50,000 comparison operations per second without significant performance degradation.

[0057] When the comparison result indicates that the tenant identifiers are consistent and the tenant information tags have not decayed, the information transmission node establishes a dedicated data flow forwarding rule in the forwarding table from the current network interface to the corresponding virtual isolation container. The forwarding rule includes the network interface identifier, container instance number, and pointer address to the dedicated memory processing area. The virtual isolation container is a logical isolation unit built based on container virtualization technology. Each container is allocated an independent memory page table, network namespace, and file system mount point. After the forwarding rule is established, the monitoring semantic packet is written to the dedicated memory processing area of ​​the corresponding tenant, where it is subsequently parsed and processed by the business processing process within that container.

[0058] When the comparison result indicates a mismatch in tenant identifiers, or the time decay indicator of the tenant information tag shows that the authorized lifespan has been exceeded, the master control routing process of the information transmission node immediately intercepts the monitoring semantic packet and no longer forwards it to any virtual isolation container. The master control routing process records an anomaly log, including the source device network address, tenant identifier, and reason for failure, for subsequent auditing and tracing. Subsequently, an information degradation mechanism is triggered. The information degradation mechanism includes a connection reset submodule and an underlying cache cleanup submodule. The connection reset submodule constructs a connection reset message or error response message conforming to the Transmission Control Protocol specification based on the original transmission session information and sends it to the multi-tenant monitoring terminal, indicating that the current session has failed or that the permissions are abnormal. The underlying cache cleanup submodule directly releases the cache data blocks related to the monitoring semantic packet at the network driver layer and marks the corresponding memory pages as recyclable, preventing unauthorized data residue from the root.

[0059] In a preferred embodiment, when a simulated unauthorized tenant replays historical monitoring semantic packets or tamperes with the tenant identifier field, the system completes the comparison within milliseconds after receiving the packet and triggers the information degradation mechanism, preventing the unauthorized packet from entering any virtual isolation container processing area. Statistical data shows that under continuous high-concurrency testing environments, the success rate of abnormal packet interception remains at a high level, and the impact on the data forwarding performance of normal tenants is controlled within an acceptable range.

[0060] This embodiment utilizes an automatic tenant information tagging mechanism to achieve tenant affiliation binding and virtual isolation container selection at the network layer, improving the issues of data streaming and unauthorized access that can easily occur in multi-tenant shared signaling channels. The information degradation mechanism, through connection reset and underlying cache cleanup, ensures that unauthorized data is not further processed or remains, enhancing the system's security capabilities in wide area network environments.

[0061] Furthermore, when concurrent multi-tenant store inspection requests cause signaling congestion, the specific implementation process of the elastic echo agent deployed at the edge of the virtual isolation container capturing the flowing monitoring semantic packets and synthesizing a spatiotemporal mirror copy includes:

[0062] Continuously monitor the network throughput and connection request establishment rate of the virtual isolation container; when the network throughput exceeds the preset bandwidth threshold and the connection request establishment rate reaches the signaling congestion state, wake up the elastic echo agent deployed on the edge network card of the virtual isolation container; the elastic echo agent bypasses the monitoring semantic packets flowing through the network switching interface, parses and caches the atomic control instructions and visual feature vectors in the monitoring semantic packets; extracts the latest timestamp of the status feature word of the atomic control instruction and the visual feature vector, allocates an independent storage page in the memory cache of the elastic echo agent; writes the status feature word and the visual feature vector into the independent storage page, and combines the current online status identifier of the device with the network port mapping relationship to synthesize a spatiotemporal mirror copy.

[0063] Specifically, during promotional events or periods of concentrated auditing, multiple tenants may initiate high-frequency polling of the same front-end device within a short period, causing a sharp increase in the network throughput and connection establishment rate of the virtual isolated container. To address this, an elastic echo agent is deployed at the edge network interface of each virtual isolated container. This elastic echo agent operates in a collaborative structure of kernel bypass and user-space control plane, continuously monitoring container-level network throughput metrics and the connection request establishment rate of the Transmission Control Protocol (TCP). By reading the network interface statistics register and connection tracking table, it periodically calculates the number of inbound and outbound bytes and the number of newly established connections per unit time. In a real-world test environment, when a single node handles concurrent access from over a thousand video devices, the network throughput can reach the hundreds of megabits per second, and the connection establishment rate shows a multiplicative increase during peak periods.

[0064] The system pre-sets bandwidth thresholds and signaling congestion judgment intervals based on node hardware specifications and link bandwidth capabilities. When monitoring results show that network throughput continuously exceeds the preset bandwidth threshold and the connection request establishment rate enters the congestion judgment interval, the control plane sends a wake-up signal to the elastic echo agent. Upon wake-up, the elastic echo agent switches to a high-priority operating state and begins bypass listening to monitoring semantic packets flowing through the virtual isolation container's edge network switching interface. This bypass listening is implemented using mirrored ports and zero-copy technology, without altering the original data forwarding path and without causing additional blocking to normal service forwarding.

[0065] After capturing the monitoring semantic packets, the elastic echo agent parses the atomic control commands and visual feature vectors within the capsule. The atomic control commands include device identifiers, control action types, and status feedback fields, while the visual feature vectors include timestamps, scene feature summaries, and target contour identifiers. The elastic echo agent writes the parsed data to a local cache management system. This local cache management system employs a page-based memory allocation strategy, establishing an independent storage page for each monitored device in memory and maintaining the mapping between device identifiers and storage page addresses. In high-concurrency scenario testing, a single node can simultaneously maintain independent storage pages for thousands of devices, with cache hit latency remaining within the millisecond range.

[0066] Before writing to the cache, the elastic echo agent extracts a status feature word from the atomic control instructions. This status feature word characterizes the device's current online status, alarm level, and operating mode. Simultaneously, it extracts the latest timestamp field from the visual feature vector to identify the temporal position of the data. The elastic echo agent combines the status feature word and the latest timestamp and writes them to an independent storage page. It then combines the current device's online status identifier with the network port mapping relationship to construct a spatiotemporal mirror copy containing both time and spatial dimensions. This spatiotemporal mirror copy not only retains the device's most recent valid status but also preserves the corresponding visual feature summary and port path information for subsequent rapid response to repeated polling requests.

[0067] In a preferred embodiment, when multiple tenants initiate high-frequency query requests to the same device, before enabling the elastic echo proxy, the connection establishment rate of the virtual isolated container continuously increases, and queuing delays occur in core signaling processing. After enabling the elastic echo proxy, the system transfers frequently accessed device status data to a local cache structure, the success rate of spatiotemporal mirror copy generation remains at a stable level, the connection establishment rate of the core container drops significantly, and the overall network throughput curve tends to stabilize.

[0068] In this embodiment, the elastic echo proxy performs bypass capture and structured caching of monitoring semantic packets during signaling congestion, constructing a spatiotemporal mirror copy containing time and spatial attributes. This enables localized preprocessing of hotspot device data at the network layer. This mechanism improves the congestion problem caused by repeated parsing of the same data in core signaling during multi-tenant concurrent inspections, allowing hotspot data to be accessed quickly without frequently traversing the entire service link, thus enhancing system stability and throughput in multi-tenant high-concurrency environments.

[0069] Furthermore, when repeated polling requests for the same information transmission node are detected, the specific implementation process of the elastic echo agent calling the spatiotemporal mirror copy to feed back the mimicry information flow to the multi-tenant monitoring terminal includes:

[0070] The elastic echo agent intercepts downlink polling request messages sent by multi-tenant monitoring terminals to the same information transmission node and parses the target device network identifier in the downlink polling request message; it queries the elastic echo agent's memory cache to match the spatiotemporal mirror copy corresponding to the target device network identifier; it extracts the device online status identifier and timing coherence feature words from the spatiotemporal mirror copy, and constructs a mimicry information flow according to the keep-alive message format of the underlying communication protocol; it uses the multi-tenant monitoring terminal as the destination network address and encapsulates the mimicry information flow into a response data packet; bypassing the backend signaling gateway, the elastic echo agent sends the response data packet to the multi-tenant monitoring terminal through the edge network interface, completing the localized response to the device status.

[0071] Specifically, in the high-concurrency operation environment of a multi-tenant store inspection monitoring platform, multiple tenant monitoring terminals typically initiate periodic downlink polling requests to the same front-end device or the same information transmission node at preset time intervals to obtain the device's online status and the latest video summary information. When promotional inspections or centralized spot checks occur, polling requests tend to overlap densely in a short period of time, causing the same target device to be accessed repeatedly within a very short time window. To address this, the elastic echo proxy continuously monitors downlink packets in real time at the edge of the virtual isolation container. By parsing the transport layer port number, target device network identifier, and control field characteristics, it quickly classifies and identifies polling requests before they enter the container. When multiple polling requests are detected to have the same target device network identifier and the request interval is less than a preset time window, it is determined that the condition for triggering a duplicate polling request has been met.

[0072] After the triggering condition is met, the elastic echo agent intercepts the corresponding downlink polling request message and parses the target device network identifier field in the message. The target device network identifier includes a unique device code, a logical channel number, and a session identifier field. After parsing, the elastic echo agent accesses its memory cache. The memory cache has already established independent storage pages for hotspot devices in the previous steps and stores corresponding spatiotemporal mirror copies. The spatiotemporal mirror copy contains the device online status identifier, the latest timestamp, status feature words, and the corresponding visual feature summary. The elastic echo agent quickly matches the corresponding storage page using the device unique code index to retrieve the spatiotemporal mirror copy.

[0073] After successfully matching the spatiotemporal mirror copy, the elastic echo proxy extracts the device online status identifier and the time-series coherence feature. The device online status identifier reflects whether the device is currently in a communicable state, and the time-series coherence feature ensures the consistency of the response data with the original business timeline. The elastic echo proxy fills the above data fields into the keep-alive message template according to the keep-alive message format specification of the underlying communication protocol, constructing a mimicry information flow. The mimicry information flow is structurally consistent with the real device heartbeat message, including protocol version fields, device identifier fields, time identifier fields, and status code fields. However, its data originates from the cached spatiotemporal mirror copy rather than through real-time backend device penetration, thus achieving a semantically consistent and path-simplified response.

[0074] After constructing the mimicry information flow, the elastic echo proxy uses the multi-tenant monitoring terminal that initiated the polling request as the destination network address, encapsulates the mimicry information flow at the transport and network layers, and generates a response data packet. This response data packet is sent directly to the multi-tenant monitoring terminal through the edge network interface, bypassing the backend signaling gateway and core processing. Since this process does not trigger the business logic processing flow inside the virtual isolation container, the overall response path is shortened. In a preferred embodiment, without the local response mechanism enabled, repeated polling requests need to be processed one by one through the virtual isolation container and backend signaling, causing the core node connection establishment rate to rise during peak periods. With the mimicry information flow feedback mechanism enabled, most repeated polling requests for the same target device are directly responded to by the elastic echo proxy, effectively alleviating the pressure on core signaling processing, stabilizing the network throughput curve, and ensuring continuous and stable operation of the entire system under high concurrency scenarios.

[0075] This embodiment utilizes an elastic echo proxy based on spatiotemporal mirroring to achieve localized responses to repeated polling requests, effectively improving the signaling congestion problem caused by repeated penetration of backend links when multiple tenants concurrently access the same device. The mimicry information flow maintains consistency with the real device response at the protocol format and semantic level, ensuring business logic transparency and data continuity, while reducing the redundant processing burden on the signaling gateway.

[0076] Furthermore, the specific implementation process of the virtual isolation container simultaneously activating reverse signaling blocking pulses and intercepting redundant downlink commands includes:

[0077] After confirming that the signaling congestion persists and the elastic echo agent has taken over the polling response, the virtual isolation container activates a reverse signaling blocking pulse; it extracts the protocol signature and source port information from the downlink polling request message to generate a network access control list rule; the network access control list rule is distributed to the routing table of the virtual switch at the front end of the virtual isolation container, and the virtual switch matches the network access control list rule to intercept all redundant downlink control commands sent to the protected backend device; the intercepted redundant downlink control commands are silently discarded, and at the same time, a protocol control message carrying congestion backoff parameters is returned to the multi-tenant monitoring terminal; the retransmission mechanism of the multi-tenant monitoring terminal is suppressed to release the signaling processing bandwidth and underlying network link resources of the backend information transmission node.

[0078] Specifically, during the high-concurrency operation phase of the multi-tenant store monitoring platform, even after the elastic echo agent has implemented localized responses to duplicate polling requests, the virtual isolation container may still continuously receive downlink polling or control commands from multiple tenant monitoring terminals. To prevent these redundant commands from penetrating to backend devices or signaling processing, thus consuming limited signaling processing bandwidth and network link resources, the virtual isolation container is equipped with a congestion status confirmation function in the control plane. It continuously reads statistical data on network throughput, connection establishment rate, and the response ratio of the elastic echo agent. When it detects that signaling congestion persists within a preset time window and the elastic echo agent has taken over a significant proportion of polling responses, it determines that the conditions for triggering a reverse signaling blocking pulse are met.

[0079] Upon meeting the triggering conditions, the virtual isolation container activates a reverse signaling blocking pulse. This reverse signaling blocking pulse is a time-window-based access control enhancement strategy that dynamically loads network access control list rules onto the virtual switch's forwarding path to achieve rapid matching and interception of specific downlink packets. The virtual isolation container first parses the currently flowing downlink polling request packets, extracting protocol signatures, source port information, and target device network identifiers. The protocol signatures distinguish between polling, control, and configuration requests, while the source port information identifies the monitoring terminal session originating the request. After field extraction, the virtual isolation container generates corresponding network access control list rules. These rules include source port matching conditions, target device identifier matching conditions, and protocol signature matching conditions, along with an effective duration parameter. The rules are distributed to the routing table of the front-end virtual switch via the container's control plane interface. The virtual switch operates on a kernel-mode forwarding path, enabling matching and judgment of data packets before they enter the container's service processing flow.

[0080] When a new downlink polling or control message arrives, the virtual switch first matches it against the loaded network access control list rules. For redundant downlink control commands that match the rules, the virtual switch directly discards them on the forwarding path without sending them to the backend device or signaling processing. This discarding operation is performed silently, meaning the message is neither forwarded nor an error log is generated, thus avoiding additional logging overhead in high-frequency scenarios. Simultaneously, the control module of the virtual isolation container constructs a protocol control message carrying congestion backoff parameters based on the source port information of the intercepted message and returns it to the corresponding multi-tenant monitoring terminal. These congestion backoff parameters include the suggested polling interval, the current congestion level identifier, and the time window identifier for the next allowed access. This method guides the multi-tenant monitoring terminal to adjust its polling frequency.

[0081] This embodiment moves the congestion control strategy forward to the virtual switch forwarding layer through a reverse signaling blocking pulse mechanism, enabling rapid identification and edge interception of redundant downlink commands and preventing repeated requests from repeatedly penetrating to backend devices. This mechanism improves upon the signaling backlog problem caused by relying solely on backend processing capabilities to handle polling surges in high-concurrency scenarios, transforming congestion management from a passive response to proactive control. Combined with control messages based on backoff parameter feedback, it further guides terminal-side behavior adjustments, forming a closed-loop control effect, thereby releasing the signaling processing bandwidth of backend information transmission nodes and underlying network link resources.

[0082] Example 2:

[0083] This embodiment deploys the aforementioned multi-tenant store patrol monitoring third-party platform device management system based on the compatibility layer completely on a chain retailer, referring to... Figure 3 This system enables platform device management for multi-tenant store inspection monitoring. The retailer has deployed thousands of front-end network cameras and embedded NVR devices, with no fewer than twenty tenants connected to the third-party store inspection platform. Each tenant has independent inspection permissions and device access range. The system is deployed in a cloud-based data center, employing a compatibility layer architecture. The data processing module, virtual isolation module, and congestion management module run on logically isolated computing nodes, interconnected via a wide-area distribution link.

[0084] Furthermore, in the data processing stage, the platform first receives the raw IoT message stream from multi-tenant monitoring terminals through the boundary access gateway. This raw IoT message stream is continuously uploaded after establishing a long connection via the Transmission Control Protocol (TCP), and the messages mix device status reporting signaling and video data segments. On-site packet capture statistics show that during peak store inspection periods, a single node receives tens of thousands of raw messages per second, with an average message length in the kilobyte range. Private protocol headers, padding fields, and redundant check bits constitute a significant proportion. The raw IoT message stream is then imported into a protocol parsing array. This array has multiple pre-set private protocol parsing templates from various vendors and employs a parallel parsing structure. The system identifies protocols based on port feature fields, message start flags, and field order. Upon successful matching, it performs protocol unpacking, stripping the link layer, network layer, and transport layer encapsulations to extract the application layer payload data stream. For protocol types that cannot be directly matched, the system calls a fuzzy matching submodule to perform similarity analysis on key fields, completing protocol classification while ensuring accuracy.

[0085] Furthermore, after obtaining the application layer load data stream, the semantic extraction operator performs a byte-level scan, splitting the mixed data stream into a state control signaling sub-stream and a multimedia video sub-stream based on a pre-built control signaling syntax skeleton library and a video stream syntax skeleton library. For state control signaling, the system discards private protocol header bytes and duplicate check fields, retaining only core parameters such as device number, action type, abnormal status code, and time stamp, and constructs atomic control instructions. Testing shows that the data length of a single control signaling instruction is significantly reduced after reconstruction, effectively reducing subsequent transmission load. For the multimedia video stream, the system extracts keyframe information and performs frame-level decoding, extracting visual feature vectors without performing complete video transcoding. The visual feature vectors include scene brightness features, motion intensity indicators, and key target contour summary information. Actual testing shows that after converting the original video clips into visual feature vectors, the data volume of a single frame is compressed to a very small proportion of the original data, significantly reducing wide-area link bandwidth consumption while ensuring the integrity of the features required for intelligent store inspection analysis. The system serializes and packages atomic control commands and visual feature vectors according to a unified network encapsulation format to generate a monitoring semantic packet. The monitoring semantic packet includes a semantic identifier header, a tenant identifier reserved area, an atomic control command area, and a visual feature vector area. Each field uses length-indicating encoding for easy subsequent rapid parsing. The generated monitoring semantic packet is written to the wide-area distribution link buffer queue, completing the entire process of the data processing module.

[0086] Furthermore, during the virtual isolation phase, the wide-area distribution link entry module intercepts and parses the monitoring semantic packets, reads the source device network address and tenant identity identifier, and initiates a dynamic authorization verification request to the session authentication center. The session authentication center returns a dynamic authorization token and lifecycle parameters based on the tenant's permission configuration. The dynamic authorization token contains a unique tenant code, permission level, and access resource range information; the lifecycle parameters limit its validity time at the network layer. The system generates a tenant information tag based on the dynamic authorization token. The tenant information tag includes a tenant identifier digest, permission mapping code, time decay identifier, and integrity verification field, and is encapsulated using encrypted encoding. This tenant information tag is appended as an extended message header to the transport layer encapsulation structure of the monitoring semantic packet, enabling tenant attributes to participate in routing decisions at the network layer. Experimental results show that after enabling the dynamic affinity information tag mechanism, the recognition rate of abnormal replay packets is significantly improved, effectively preventing the illegal reuse of historical packets. After completing the information tag injection, the system reads the real-time load status of each information transmission node in the pseudo-flow space, including bandwidth utilization, number of sessions, and processing latency indicators. By combining the permission mapping relationships in the tenant information tags with the node load, the initial route delivery path is calculated to avoid resource exhaustion of a single node in high-concurrency scenarios. Subsequently, the monitoring semantic packets are encapsulated into tunnel protocol data packets, which are then encrypted and verified by the security gateway before being delivered to the simulated flow space.

[0087] Furthermore, within the simulated flow space, the information transmission node receives tunnel protocol data packets and performs decapsulation processing, extracting monitoring semantic packets and extended message headers. The node reads tenant information tags and compares them with the tag table of the local virtual isolation container environment. If the tenant identifier matches the permission mapping and the information tag is valid, a forwarding rule is established from the network interface to the corresponding virtual isolation container, and the monitoring semantic packet is written into the corresponding tenant's dedicated memory processing area. The virtual isolation container is constructed using container virtualization technology, possessing an independent network namespace and memory resources to achieve tenant-level logical isolation. If the comparison results are inconsistent or the information tag expires, the information transmission node's main control routing process immediately intercepts the monitoring semantic packet and triggers an information degradation mechanism. The system sends a connection reset message to the multi-tenant monitoring terminal, while simultaneously releasing the cache resources occupied by the message and clearing related memory pages at the network driver layer. Through this mechanism, unauthorized access can be blocked in milliseconds, avoiding data streaming and cross-tenant access risks. During the congestion management phase, the system continuously monitors the network throughput and connection establishment rate of the virtual isolation container. When multiple tenants are detected initiating frequent store inspection requests within the same time period, leading to a significant signaling congestion trend, the elastic echo agent deployed at the container edge is activated. The elastic echo agent bypasses the monitoring semantic packets flowing through the network interface, parses the atomic control commands and visual feature vectors, extracts status feature words and time stamps, and generates a spatiotemporal mirror copy. This spatiotemporal mirror copy is stored in an independent memory page and associated with the device's online status and port mapping.

[0088] Furthermore, when the elastic echo agent detects repeated polling requests for the same information transmission node, it no longer forwards the request to the backend device. Instead, it invokes the corresponding spatiotemporal mirror copy to construct a pseudo-information flow conforming to the underlying protocol format, directly responding to the multi-tenant monitoring terminal through the edge network interface. Stress testing showed that in scenarios where the proportion of repeated polling exceeded the majority during peak hours, the processing load of the core signaling gateway significantly decreased, and network bandwidth utilization was effectively controlled. During the elastic echo agent's response period, the virtual isolation container activates a reverse signaling blocking pulse mechanism. The system generates network access control rules based on the protocol signature and source port information in the downlink polling request message and sends them to the virtual switch forwarding table to intercept redundant downlink control commands. Intercepted messages are silently discarded, and control messages carrying congestion backoff parameters are returned to the terminal to suppress terminal retransmission behavior, thereby releasing backend node signaling processing resources.

[0089] This embodiment achieves dynamic parsing and unified encapsulation of heterogeneous device protocols in a multi-tenant, high-concurrency store inspection scenario. It completes tenant logical isolation and path binding based on network layer extended headers, and effectively alleviates signaling congestion through an elastic echo proxy mechanism, reducing bandwidth waste and signaling amplification effects. At the same time, it improves multi-tenant access security and overall system throughput stability, and addresses the problems of severe protocol coupling, insufficient isolation capabilities, and network congestion caused by high-frequency polling.

[0090] It should be clarified that the embodiments described above are merely exemplary and are intended to aid in understanding the present invention, not to limit it. Those skilled in the art can make various changes and modifications after grasping the core ideas of the present invention. Therefore, the scope of protection of the present invention is defined by the appended claims and their equivalents.

Claims

1. A multi-tenant store inspection monitoring third-party platform device management system based on a compatibility layer, characterized in that, include: The data processing module acquires the original IoT message stream from the multi-tenant monitoring terminal and imports it into the protocol parsing array. It uses semantic extraction operators to remove encapsulation redundancy and reconstructs it into a monitoring semantic packet containing atomic control instructions and visual feature vectors, which is then sent into the wide-area distribution link. The virtual isolation module monitors that when a semantic packet enters the wide-area distribution link, it is injected with a tenant information tag containing dynamic timeliness and is then deployed to the mimicry flow space. The mimicry flow space is composed of information transmission nodes, each of which is interconnected with the security gateway through a tunnel protocol and carries multiple logically divided virtual isolation containers. The information transmission nodes within the mimicry flow space automatically attach monitoring semantic packets to the corresponding virtual isolation containers based on tenant information tags, and trigger an information degradation mechanism to clear unauthorized data when a mismatch is detected between the information tag characteristics and the container environment. The congestion management module, when signaling congestion occurs due to concurrent multi-tenant store inspection requests, involves an elastic echo agent deployed at the edge of the virtual isolation container capturing the flowing monitoring semantic packets and synthesizing a spatiotemporal mirror copy. The specific implementation process includes: continuously monitoring the network throughput and connection request establishment rate of the virtual isolation container; when the network throughput exceeds a preset bandwidth threshold and the connection request establishment rate reaches a signaling congestion state, waking up the elastic echo agent deployed at the edge network interface card of the virtual isolation container; the elastic echo agent bypasses the monitoring semantic packets flowing through the network switching interface, parses and caches the atomic control commands and visual feature vectors in the monitoring semantic packets; extracts the latest timestamps of the status feature words and visual feature vectors of the atomic control commands, and allocates independent storage pages in the memory cache of the elastic echo agent; writes the status feature words and visual feature vectors into the independent storage pages, and synthesizes a spatiotemporal mirror copy by combining the current device's online status identifier and network port mapping relationship; when repeated polling requests for the same information transmission node are detected, the elastic echo agent calls the spatiotemporal mirror copy to feed back a mimicry information flow to the multi-tenant monitoring terminal; the virtual isolation container simultaneously activates a reverse signaling blocking pulse and intercepts redundant downlink commands. 2.The compatible layer-based multi-tenant store monitoring third-party platform device management system of claim 1, wherein, The specific implementation process of acquiring the original IoT message stream from the multi-tenant monitoring terminal and importing it into the protocol parsing array, using semantic extraction operators to remove encapsulation redundancy, and reconstructing it into a monitoring semantic packet containing atomic control commands and visual feature vectors before sending it into the wide-area distribution link includes: The system receives the original IoT message stream uploaded by the multi-tenant monitoring terminal, identifies the characteristics of the underlying communication protocol, activates the protocol parsing array to unpack the protocol, and extracts the application layer load data stream. It then uses a semantic extraction operator to perform pattern matching on the application layer load data stream, separating the status control signaling and multimedia video stream. Private protocol header bytes and redundant check bits in the status control signaling and multimedia video stream are discarded, and signaling parameters are extracted to construct atomic control instructions. Frame decoding and feature dimensionality reduction are performed on the multimedia video stream to extract visual feature vectors. Finally, the atomic control instructions and visual feature vectors are serialized and packaged according to the network encapsulation format to generate a monitoring semantic packet, which is then sent to the wide-area distribution link. 3.The compatible layer-based multi-tenant store patrol monitoring third-party platform device management system of claim 1, wherein, The specific implementation process of injecting tenant information tags containing dynamic timeliness into the monitoring semantic packet when it enters the wide-area distribution link and deploying it to the pseudo-flow space includes: The system intercepts monitoring semantic packets at the entry point of the wide-area distribution link, parses the source device network address and tenant identity identifier corresponding to the monitoring semantic packets, initiates a verification request to the session authentication center, obtains the dynamic authorization token and lifecycle parameters of the corresponding tenant, generates a tenant information tag with dynamic validity based on the dynamic authorization token and lifecycle parameters, and appends the tenant information tag as an extended message header to the network transport layer encapsulation of the monitoring semantic packets, reads the information transmission node and node load information of the mimicry flow space, calculates the initial route delivery path of the monitoring semantic packets, and encapsulates the monitoring semantic packets carrying the tenant information tags into tunnel protocol data packets according to the initial route delivery path, and delivers them to the mimicry flow space through the security gateway. 4.The system according to claim 3, wherein, The information transmission nodes within the mimicry flow space automatically attach monitoring semantic packets to the corresponding virtual isolation containers based on tenant information tags, and trigger an information degradation mechanism to clear unauthorized data when a mismatch between information tag characteristics and the container environment is detected. The specific implementation process includes: Within the mimicry flow space, the information transmission node receives and decapsulates tunnel protocol data packets, extracts monitoring semantic packets and their extended message headers; reads the tenant information tag in the extended message header and compares its bitwise bits with the virtual isolation container environment tag configured locally by the current information transmission node; when the comparison result indicates consistency and the tenant information tag has not decayed, a data flow forwarding rule is established from the current network interface to the corresponding virtual isolation container, and the monitoring semantic packet is imported into the exclusive memory processing area of ​​the corresponding tenant; when the comparison result indicates inconsistency and the affinity information tag times out, the master control routing process of the information transmission node intercepts the monitoring semantic packet; triggers the information degradation mechanism to send a connection reset message to the multi-tenant monitoring terminal, discards the cached data block occupied by the monitoring semantic packet at the underlying network driver layer, and clears unauthorized data.

5. The multi-tenant store patrol monitoring third-party platform equipment management system based on a compatibility layer according to claim 1, characterized in that, When repeated polling requests for the same information transmission node are detected, the specific implementation process of the elastic echo agent calling the spatiotemporal mirror copy to feed back the mimicry information flow to the multi-tenant monitoring terminal includes: The elastic echo agent intercepts downlink polling request messages sent by multi-tenant monitoring terminals to the same information transmission node and parses the target device network identifier in the downlink polling request message; it queries the elastic echo agent's memory cache to match the spatiotemporal mirror copy corresponding to the target device network identifier; it extracts the device online status identifier and timing coherence feature words from the spatiotemporal mirror copy, and constructs a mimicry information flow according to the keep-alive message format of the underlying communication protocol; it uses the multi-tenant monitoring terminal as the destination network address and encapsulates the mimicry information flow into a response data packet; bypassing the backend signaling gateway, the elastic echo agent sends the response data packet to the multi-tenant monitoring terminal through the edge network interface, completing the localized response to the device status.

6. The multi-tenant store inspection monitoring third-party platform equipment management system based on the compatibility layer according to claim 5, characterized in that, The specific implementation process of the virtual isolation container simultaneously activating reverse signaling blocking pulses and intercepting redundant downlink commands includes: After confirming that the signaling congestion persists and the elastic echo agent has taken over the polling response, the virtual isolation container activates a reverse signaling blocking pulse; it extracts the protocol signature and source port information from the downlink polling request message to generate a network access control list rule; the network access control list rule is distributed to the routing table of the virtual switch at the front end of the virtual isolation container, and the virtual switch matches the network access control list rule to intercept all redundant downlink control commands sent to the protected backend device; the intercepted redundant downlink control commands are silently discarded, and at the same time, a protocol control message carrying congestion backoff parameters is returned to the multi-tenant monitoring terminal; the retransmission mechanism of the multi-tenant monitoring terminal is suppressed to release the signaling processing bandwidth and underlying network link resources of the backend information transmission node.

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