Heterogeneous terminal self-adaptive nano-management system based on differential identification

Abstract

The invention, which relates to the technical field of intelligent terminal management, discloses a differential identification-based heterogeneous terminal adaptive nano-management system comprising an equipment access and identification management module, a state data processing and transmission module and a cloud collaborative management module. According to the invention, through the equipment access and identifier management module, the static DID is adopted to determine the equipment identity, and the equipment identifier and the network position are associated by means of the dynamic mapping table, so that the problem that the equipment access identifier and the network position are closely associated in a traditional terminal management system is solved; and the position mapping unit can update the dynamic mapping table in real time, so that effective identification and management of the equipment are ensured, and the adaptability of terminal management to different network environments and equipment position changes is greatly improved.

Description

Technical Field

[0001] This invention relates to the field of intelligent terminal management technology, specifically to a heterogeneous terminal adaptive management system based on differential identification. Background Technology

[0002] In today's digital age, the number and types of smart terminals are experiencing explosive growth. From smart home devices to industrial IoT terminals, various heterogeneous terminals are widely used in different fields, greatly changing people's lifestyles and production methods. As the smart terminal ecosystem becomes increasingly complex, how to effectively manage the massive and diverse number of terminals has become a key issue in ensuring stable system operation and improving overall efficiency.

[0003] Traditional terminal management systems exhibit several significant shortcomings when dealing with heterogeneous terminal management. Firstly, regarding device access identification, traditional systems often tightly link device access identifiers to network location. This makes it difficult for the system to quickly and accurately identify devices when they migrate across regions or when the network environment changes, leading to difficulties or even complete failure to access the network. This severely impacts the continuity and stability of terminal management. Secondly, in terms of data transmission, most traditional systems employ full-data transmission, uploading all terminal status data to the cloud with each transmission. This not only consumes substantial network bandwidth resources but also easily causes network congestion, especially with a large number of terminals and massive amounts of data, reducing data transmission efficiency and increasing time and energy costs. Furthermore, there is a lack of effective coordination mechanisms between cloud management and front-end device access and data transmission. The technical solutions for each stage are relatively independent, and the connections are not smooth enough. This results in untimely and inaccurate information transmission during device access, data processing, and cloud management, failing to form an organic whole and thus affecting the overall effectiveness of terminal management, making it difficult to meet the growing demands for heterogeneous terminal management. Summary of the Invention

[0004] The purpose of this invention is to overcome the shortcomings of existing technologies and provide a heterogeneous terminal adaptive management system based on differential identification. This system, through the design of a device access and identification management module, establishes a unique device identity using static DID, dynamically associates device identification with network location using a dynamic mapping table, and ensures communication through protocol adaptation. This effectively solves the problem of tight association between device access identification and network location. Regarding status data processing and transmission, the status data processing and transmission module first slices the terminal status and associates it with identification, then uses differential encoding and compression technology to process the data, greatly reducing data transmission volume and bandwidth consumption. Simultaneously, the transmission control unit can monitor the data transmission process in real time and can resume transmission based on the dynamic mapping ID in the event of a network interruption, ensuring the reliability and efficiency of data transmission. The cloud-based collaborative management module is responsible for receiving the processed data and, combined with device identification information, achieving comprehensive management and collaborative control of the terminals. This invention significantly improves the adaptability and efficiency of terminal management, providing strong support for the large-scale application and management of smart terminals.

[0005] To solve the above-mentioned technical problems, the present invention provides the following technical solution: a heterogeneous terminal adaptive management system based on differential identification, the system comprising: a device access and identification management module, a status data processing and transmission module, and a cloud collaborative management module; The device access and identification management module includes an identity identification unit, a location mapping unit, and a protocol adaptation unit. It establishes device identity through static DID, associates device identification with network location through dynamic mapping table, and ensures communication through protocol adaptation, thereby realizing effective management of device access, identification, and location. The status data processing and transmission module includes a status slicing unit, a differential coding unit, and a transmission control unit. By slicing the terminal status and associating it with identifiers, and then processing the data through differential coding and compression, the transmission control unit ensures data transmission, thereby achieving efficient processing and transmission of terminal status data. The cloud-based collaborative management module includes a data decoding and reconstruction unit, a device status monitoring unit, and a resource scheduling unit. It decodes and reconstructs the complete state of the terminal, monitors the device status and sends instructions, and schedules resources based on relevant information to achieve effective management and collaborative control of the terminal.

[0006] Furthermore, in the device access and identification management module, the identity identification unit sends the unique static DID based on CHIPID encrypted hash, which is pre-burned into the device at the factory, to the location mapping unit to complete the initial identity registration.

[0007] Furthermore, in the device access and identification management module, the location mapping unit receives the static DID sent by the identity identification unit, constructs a dynamic mapping table in the cloud, and generates an algorithm formula using the dynamic mapping ID. The static DID is dynamically associated with the device's current network location to generate a dynamic mapping ID, and this dynamic mapping ID is fed back to the protocol adaptation unit. Represents a dynamically mapped ID. Indicates static DID, This is the current timestamp. Represents the device's current network location information. For custom cryptographic hash functions, As a threshold for the mapping table capacity, when the network location of a device changes, the correspondence between the static DID and the network location in the dynamic mapping table is updated in real time, and the updated dynamic mapping ID is synchronized to the relevant units.

[0008] Furthermore, in the device access and identification management module, the protocol adaptation unit receives the dynamic mapping ID fed back by the location mapping unit, encapsulates the communication protocols of various terminals, automatically matches the corresponding protocol when the device is accessed, and integrates the dynamic mapping ID into the communication channel.

[0009] Furthermore, in the state data processing and transmission module, the state slicing unit receives communication channel information with dynamic mapping IDs provided by the protocol adaptation unit, and divides the terminal state into multiple independent dimensions including display content, hardware parameters, and network status, with each dimension associated with the device's dynamic mapping ID.

[0010] Furthermore, in the state data processing and transmission module, after the location mapping unit of the device access and identification management module completes the initial mapping and obtains the dynamic mapping ID, the differential coding unit uploads the full baseline state data to the cloud when the device transmits data for the first time; during subsequent transmissions, it receives the fragmented data with the dynamic mapping ID provided by the state slicing unit, and generates the algorithm formula through differential data. Generate difference data for each dimension compared to the baseline state, where, Indicates the first The state dimension is in the... Differential data during the next transmission For the first The state dimension is in the... Current state data at any given moment. It is the first Full baseline state data for each state dimension. For the first The weighting coefficients of the next historical state data. It is the first The state dimension is in the... Historical state data at any given moment A custom dimension association operator is used, and a compression algorithm is employed to compress the difference data. The compression algorithm is as follows: ,in, Indicates the first The output of each compression unit, when a matching segment is found in the sliding window, outputs a tuple consisting of the offset and length; otherwise, it directly outputs the current character. This is the offset of the matching segment within the sliding window, i.e., the distance between the current position and the starting position of the matching segment in the window. It is the length of the matched segment, that is, the number of bytes in the longest matching sequence found. Representing the difference data from the first Starting at position , with a length of The fragment, Indicates the position in the sliding window Start, length is Matching fragments, For the difference data, the first A single character that did not find a match. It is a preset maximum matching length threshold, determined by the average fragment length of the differential data and system performance requirements, used to limit the matching length. The compressed differential data carries a dynamic mapping ID and is sent to the transmission control unit.

[0011] Furthermore, in the status data processing and transmission module, the transmission control unit receives compressed differential data carrying a dynamic mapping ID sent by the differential encoding unit, transmits it to the cloud through the channel provided by the protocol adaptation unit, monitors the data transmission process, and records the transmission interruption point of the differential data and the corresponding dynamic mapping ID when the network is interrupted. After the network is restored, the device's current network location is obtained by querying the location mapping unit based on the dynamic mapping ID, and the data transmission continues.

[0012] Furthermore, in the cloud-based collaborative management module, the data decoding and reconstruction unit receives differential data carrying a dynamic mapping ID sent by the transmission control unit, queries the dynamic mapping table constructed by the location mapping unit to determine the corresponding static DID and baseline state data, fuses the differential data with the baseline state data, reconstructs the complete current state of the terminal, and uses the terminal state reconstruction confidence algorithm formula. The reconstructed data is validated, among which, This indicates the confidence level for terminal state reconstruction. This represents the actual current state of the terminal. It is full baseline state data. For the differential data obtained from decoding, and These are the weighting coefficients. This represents a data transmission stability indicator. If the verification fails, the transmission control unit is notified to retransmit the data, and the reconstructed complete status data is sent to the device status monitoring unit.

[0013] Furthermore, in the cloud-based collaborative management module, the device status monitoring unit receives complete terminal status data sent by the data decoding and reconstruction unit, monitors the terminal's operating status, and when abnormal hardware parameters or network status are detected, it sends an adjustment command to the terminal in conjunction with the device location information in the dynamic mapping table of the location mapping unit, and sends the device status update information to the resource scheduling unit to update the device status database.

[0014] Furthermore, in the cloud-based collaborative management module, the resource scheduling unit receives device status update information sent by the device status monitoring unit, and allocates cloud computing and storage resources according to the status data of each terminal and the device distribution in the dynamic mapping table of the location mapping unit.

[0015] Compared with existing technologies, this heterogeneous terminal adaptive management system based on differential identification has the following advantages: I. This invention uses a device access and identification management module to establish device identity using static DID and associates device identifier with network location using a dynamic mapping table. This solves the problem of the close association between device access identifier and network location in traditional terminal management systems. When a device migrates across regions or the network environment changes, the location mapping unit can update the dynamic mapping table in real time to ensure effective identification and management of the device, greatly improving the adaptability of terminal management to different network environments and device location changes.

[0016] Second, this invention, through the differential encoding unit in the state data processing and transmission module, after the device transmits the full reference state data for the first time, only transmits the differential data with respect to the reference state, and uses the LZ77 compression algorithm to compress it, which effectively reduces the amount of data transmission and reduces bandwidth usage. At the same time, the transmission control unit monitors the data transmission process, records the breakpoint and the corresponding dynamic mapping ID when the network is interrupted, and continues the transmission based on the ID after the network is restored, thus ensuring the reliability of data transmission.

[0017] Other advantages, objectives and features of the invention will be set forth in part in the description which follows, and in part will be apparent to those skilled in the art from the following examination or study, or may be learned from the practice of the invention. Attached Figure Description

[0018] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the accompanying drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are merely some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without any creative effort.

[0019] Figure 1This is a block diagram of a heterogeneous terminal adaptive management system based on differential identification. Figure 2 This is a schematic diagram of the device access and identification management module of a heterogeneous terminal adaptive management system based on differential identification; Figure 3 This is a schematic diagram of the status data processing and transmission module of a heterogeneous terminal adaptive management system based on differential identification. Figure 4 This is a schematic diagram of the cloud-based collaborative management module of a heterogeneous terminal adaptive management system based on differential identification. Detailed Implementation

[0020] To further illustrate the technical means and effects of the present invention in achieving its intended purpose, the following detailed description of the specific implementation methods, structures, features, and effects of the present invention, in conjunction with the accompanying drawings and preferred embodiments, is provided below.

[0021] Example 1: A factory has deployed a heterogeneous terminal adaptive management system based on differential identification, which is integrated into the intelligent manufacturing operating system. It is used to manage heterogeneous terminal devices such as industrial robots, intelligent sensors, and AGVs (automated guided vehicles) in the workshop, so as to achieve efficient collaboration and precise control of production equipment.

[0022] like Figure 1 As shown, when an industrial robot connects to the system, the identification unit of the device access and identification management module sends its pre-programmed static DID to the location mapping unit. The location mapping unit then constructs a dynamic mapping table based on the dynamic mapping ID generation algorithm formula. The static DID is dynamically associated with the device's current network location to generate a dynamic mapping ID, and this dynamic mapping ID is fed back to the protocol adaptation unit. Represents a dynamically mapped ID. Indicates static DID, This is the current timestamp. Represents the device's current network location information. For custom cryptographic hash functions, As a threshold for the mapping table capacity, when the network location of the device changes, the correspondence between the static DID and the network location in the dynamic mapping table is updated in real time, and the updated dynamic mapping ID is synchronized to the relevant units. The static DID is associated with the robot's current industrial Ethernet location, a dynamic mapping ID is generated and fed back to the protocol adaptation unit. The protocol adaptation unit encapsulates the robot's Profinet communication protocol and integrates the dynamic mapping ID, enabling the robot to complete the connection within 15 seconds and become a terminal node that can be recognized by the intelligent manufacturing operating system.

[0023] After receiving the communication channel information with the dynamic mapping ID, the state slicing unit of the state data processing and transmission module divides the industrial robot's state into dimensions such as operating parameters (e.g., joint angles, operating speed), fault codes, and energy consumption data. Each dimension is associated with a corresponding dynamic mapping ID. After the initial mapping is completed, the differential encoding unit uploads the full set of baseline state data, including initial joint angle values, rated operating speed, zero fault codes, and standard energy consumption range. When the robot performs welding operations, the operating speed is adjusted from 2 m / s to 1.5 m / s, and the energy consumption data increases slightly. The differential encoding unit generates an algorithm formula based on the differential data. The differential data for these two dimensions is generated, compressed using a compression algorithm, and then sent to the transmission control unit with a dynamic mapping ID. The transmission control unit transmits the data to the cloud platform of the intelligent manufacturing operating system through the channel provided by the protocol adaptation unit. Even if the workshop network is interfered with by equipment start-up and shutdown, the transmission control unit can record the breakpoint and quickly restore the transmission based on the dynamic mapping ID, ensuring the continuity of production data.

[0024] After receiving differential data, the data decoding and reconstruction unit of the cloud-based collaborative management module queries the dynamic mapping table to determine the robot's identity and baseline state, and then reconstructs the confidence algorithm formula based on the terminal state. The complete state is reconstructed, and the equipment status monitoring unit monitors the robot's operating parameters in real time to ensure they are within a reasonable range. When a smart sensor detects an abnormal temperature, it quickly locates the production station where the sensor is located by combining the dynamic mapping table of the position mapping unit and sends a material transfer adjustment instruction to the AGV in that area. Based on the status data and distribution of each terminal, the resource scheduling unit allocates more computing resources to high-priority assembly processes in the intelligent manufacturing operating system to ensure that the real-time control instructions of the industrial robot are processed with priority.

[0025] When an AGV is moved to a new work area due to a workshop layout adjustment, the location mapping unit updates the association information between the AGV's static DID and the new network location in the dynamic mapping table in real time. The protocol adaptation unit automatically matches the communication protocol of the new area. The status data processing and transmission module and the cloud collaborative management module do not need to be reconfigured. They can continue to monitor the status of the AGV and schedule tasks through the dynamic mapping ID. This realizes seamless management of cross-regional migration of heterogeneous terminals in smart manufacturing scenarios and improves the flexibility and anti-interference capability of the production system.

[0026] Example 2: A company deployed a heterogeneous terminal adaptive management system based on differential identification to manage multiple heterogeneous terminals such as smart conference screens, printers, and attendance machines in the office area.

[0027] When the smart conference screen is used as a terminal access system, the identity identification unit of the device access and identification management module sends its pre-programmed static DID to the location mapping unit, such as... Figure 2 As shown, the location mapping unit immediately constructs a dynamic mapping table, quickly associates the static DID with the current network location of the conference screen, generates a dynamic mapping ID, and quickly feeds it back to the protocol adaptation unit. The protocol adaptation unit efficiently encapsulates the communication protocol of the conference screen and integrates the dynamic mapping ID into the communication channel. The entire process is completed within 30 seconds, successfully enabling device access.

[0028] like Figure 3 As shown, after receiving the communication channel information with dynamic mapping IDs, the state slicing unit of the state data processing and transmission module accurately divides the state of the conference screen into multiple dimensions such as display content, hardware temperature, network connection status, and audio output. Each dimension is clearly associated with a corresponding dynamic mapping ID. After the position mapping unit completes the initial mapping, the differential encoding unit uploads detailed baseline state data of the conference screen during the first transmission, including the currently displayed conference login interface, hardware temperature of 45℃, stable network connection status, and audio output volume of 50%. During subsequent meetings, the conference screen displays a document interface, the hardware temperature rises to 47℃ due to continuous operation, and the network... With the connection stable and audio output volume adjusted to 30%, the differential encoding unit quickly generates differential data across three dimensions: display content, hardware temperature, and audio output. After compression using the LZ77 compression algorithm, the data, carrying a dynamic mapping ID, is promptly sent to the transmission control unit. The transmission control unit transmits the data to the cloud via the channel provided by the protocol adaptation unit. During transmission, a brief interruption occurs due to network fluctuations in the office area, lasting approximately 10 seconds. The transmission control unit immediately records the transmission breakpoint and the corresponding dynamic mapping ID. Once the network is restored, it instantly queries the location mapping unit based on the dynamic mapping ID to obtain the current network location of the conference screen and seamlessly resumes data transmission, ensuring no conference data is lost.

[0029] like Figure 4 As shown, after receiving differential data, the data decoding and reconstruction unit of the cloud-based collaborative management module quickly queries the dynamic mapping table to determine the corresponding static DID and baseline status data, accurately reconstructing the complete current status of the conference screen. The device status monitoring unit receives the complete status data and monitors in real time that the hardware temperature is within the normal range, the display content switching is smooth, and the audio output is normal. When another printer terminal in the office area experiences a paper jam, causing a hardware failure, the device status monitoring unit detects the anomaly within 10 seconds. Combining the location information in the dynamic mapping table of the location mapping unit, it immediately sends a maintenance command to the printer and simultaneously sends the status update information to the resource scheduling unit and the enterprise's device management platform. The resource scheduling unit rationally allocates cloud computing resources based on the status and distribution of each terminal, prioritizing the data processing needs of the conference screen and attendance machine to ensure the normal conduct of the meeting and the accurate recording of employee attendance data.

[0030] The above description is merely a preferred embodiment of the present invention and is not intended to limit the present invention in any way. Although the present invention has been disclosed above with reference to preferred embodiments, it is not intended to limit the present invention. Any person skilled in the art can make some modifications or alterations to the above-disclosed technical content to create equivalent embodiments without departing from the scope of the present invention. Any simple modifications, equivalent changes and alterations made to the above embodiments based on the technical essence of the present invention without departing from the scope of the present invention shall still fall within the scope of the present invention.

Claims

1. A heterogeneous terminal adaptive management system based on differential identification, characterized in that, The system includes: a device access and identification management module, a status data processing and transmission module, and a cloud-based collaborative management module; The device access and identification management module includes an identity identification unit, a location mapping unit, and a protocol adaptation unit. It establishes device identity through static DID, associates device identification with network location through dynamic mapping table, and ensures communication through protocol adaptation, thereby realizing effective management of device access, identification, and location. The status data processing and transmission module includes a status slicing unit, a differential coding unit, and a transmission control unit. By slicing the terminal status and associating it with identifiers, and then processing the data through differential coding and compression, the transmission control unit ensures data transmission, thereby achieving efficient processing and transmission of terminal status data. The cloud-based collaborative management module includes a data decoding and reconstruction unit, a device status monitoring unit, and a resource scheduling unit. It decodes and reconstructs the complete state of the terminal, monitors the device status and sends instructions, and schedules resources based on relevant information to achieve effective management and collaborative control of the terminal.

2. The heterogeneous terminal adaptive management system based on differential identification according to claim 1, characterized in that, In the device access and identification management module, the identity identification unit sends the unique static DID based on CHIPID encrypted hash, which is pre-burned into the device at the factory, to the location mapping unit to complete the initial identity registration.

3. The heterogeneous terminal adaptive management system based on differential identification according to claim 1, characterized in that, In the device access and identification management module, the location mapping unit receives the static DID sent by the identity identification unit, constructs a dynamic mapping table in the cloud, and generates an algorithm formula using the dynamic mapping ID. The static DID is dynamically associated with the device's current network location to generate a dynamic mapping ID, and this dynamic mapping ID is fed back to the protocol adaptation unit. Represents a dynamically mapped ID. Indicates static DID, This is the current timestamp. Represents the device's current network location information. For custom cryptographic hash functions, As a threshold for the mapping table capacity, when the network location of a device changes, the correspondence between the static DID and the network location in the dynamic mapping table is updated in real time, and the updated dynamic mapping ID is synchronized to the relevant units.

4. The heterogeneous terminal adaptive management system based on differential identification according to claim 1, characterized in that, In the device access and identification management module, the protocol adaptation unit receives the dynamic mapping ID fed back by the location mapping unit, encapsulates the communication protocols of various terminals, automatically matches the corresponding protocol when the device is accessed, and integrates the dynamic mapping ID into the communication channel.

5. The heterogeneous terminal adaptive management system based on differential identification according to claim 1, characterized in that, In the state data processing and transmission module, the state slicing unit receives communication channel information with dynamic mapping IDs provided by the protocol adaptation unit, and divides the terminal state into multiple independent dimensions including display content, hardware parameters, and network status, with each dimension associated with the device's dynamic mapping ID.

6. The heterogeneous terminal adaptive management system based on differential identification according to claim 1, characterized in that, In the state data processing and transmission module, after the location mapping unit of the device access and identification management module completes the initial mapping and obtains the dynamic mapping ID, the differential coding unit uploads the full baseline state data to the cloud when the device transmits data for the first time. During subsequent transmissions, it receives fragmented data with dynamic mapping IDs provided by the state slicing unit and generates an algorithm formula using the differential data. Generate difference data for each dimension compared to the baseline state, where, Indicates the first The state dimension is in the... Differential data during the next transmission For the first The state dimension is in the... Current state data at any given moment. It is the first Full baseline state data for each state dimension. For the first The weighting coefficients of the next historical state data. It is the first The state dimension is in the... Historical state data at any given moment A custom dimension association operator is used, and a compression algorithm is employed to compress the difference data. The compression algorithm is as follows: ,in, Indicates the first The output of each compression unit, when a matching segment is found in the sliding window, outputs a tuple consisting of the offset and length; otherwise, it directly outputs the current character. This is the offset of the matching segment within the sliding window, i.e., the distance between the current position and the starting position of the matching segment in the window. It is the length of the matched segment, that is, the number of bytes in the longest matching sequence found. Representing the difference data from the first Starting at position , with a length of The fragment, Indicates the position in the sliding window Start, length is Matching fragments, For the difference data, the first A single character that did not find a match. It is a preset maximum matching length threshold, determined by the average fragment length of the differential data and system performance requirements, used to limit the matching length. The compressed differential data carries a dynamic mapping ID and is sent to the transmission control unit.

7. The heterogeneous terminal adaptive management system based on differential identification according to claim 1, characterized in that, In the status data processing and transmission module, the transmission control unit receives compressed differential data carrying a dynamic mapping ID sent by the differential encoding unit, transmits it to the cloud through the channel provided by the protocol adaptation unit, monitors the data transmission process, and records the transmission interruption point of the differential data and the corresponding dynamic mapping ID when the network is interrupted. After the network is restored, the device's current network location is obtained by querying the location mapping unit based on the dynamic mapping ID, and the data transmission continues.

8. The heterogeneous terminal adaptive management system based on differential identification according to claim 1, characterized in that, In the cloud-based collaborative management module, the data decoding and reconstruction unit receives differential data carrying a dynamic mapping ID sent by the transmission control unit, queries the dynamic mapping table constructed by the location mapping unit to determine the corresponding static DID and baseline state data, fuses the differential data with the baseline state data, reconstructs the complete current state of the terminal, and uses the terminal state reconstruction confidence algorithm formula. The reconstructed data is validated, among which, This indicates the confidence level for terminal state reconstruction. This represents the actual current state of the terminal. It is full baseline state data. For the differential data obtained from decoding, and These are the weighting coefficients. This represents a data transmission stability indicator. If the verification fails, the transmission control unit is notified to retransmit the data, and the reconstructed complete status data is sent to the device status monitoring unit.

9. The heterogeneous terminal adaptive management system based on differential identification according to claim 1, characterized in that, In the cloud-based collaborative management module, the device status monitoring unit receives complete terminal status data sent by the data decoding and reconstruction unit, monitors the terminal's operating status, and when abnormal hardware parameters or network status are detected, it sends an adjustment command to the terminal in conjunction with the device location information in the dynamic mapping table of the location mapping unit, and sends the device status update information to the resource scheduling unit to update the device status database.

10. The heterogeneous terminal adaptive management system based on differential identification according to claim 1, characterized in that, In the cloud-based collaborative management module, the resource scheduling unit receives device status update information sent by the device status monitoring unit, and allocates cloud computing and storage resources according to the status data of each terminal and the device distribution in the dynamic mapping table of the location mapping unit.

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