Heterogeneous terminal adaptive admission system based on differential identification

Abstract

The application discloses a heterogeneous terminal self-adaptive management system based on differential identification, and relates to the technical field of intelligent terminal management.The system comprises a device access and identification management module, a state data processing and transmission module, and a cloud collaborative management module.The application adopts static DID to establish the device identity through the device access and identification management module, and associates the device identification with the network location by means of a dynamic mapping table, thereby solving the problem that the device access identification and the network location are closely associated in the traditional terminal management system.When the device migrates across regions or the network environment changes, the location mapping unit can update the dynamic mapping table in real time, ensuring effective identification and management of the device, and greatly improving the adaptability of terminal management to different network environments and changes in the device location.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of intelligent terminal management, in particular to a heterogeneous terminal adaptive management system based on differential identification. BACKGROUND

[0002] In today's digital era, the number and types of intelligent terminals are showing an explosive growth trend. From smart home devices to industrial Internet of Things terminals, various heterogeneous terminals are widely used in different fields, greatly changing people's way of life and production. With the increasing complexity of the intelligent terminal ecosystem, how to effectively manage the massive and diversified terminals has become a key problem to ensure the stable operation of the system and improve overall efficiency.

[0003] Traditional terminal management systems have many obvious shortcomings when dealing with heterogeneous terminal management. First, in terms of device access identification, traditional systems often closely associate device access identification with network location, making it difficult for the system to quickly and accurately identify device identity when devices migrate across regions or network environments change, leading to difficulties or even inability to access devices, which seriously affects the continuity and stability of terminal management. Second, in terms of data transmission methods, most traditional systems use full-quantity transmission methods, which upload all terminal state data to the cloud each time. This not only occupies a large amount of network bandwidth resources, especially in cases where there are a large number of terminals and a large amount of data, which can easily cause network congestion and reduce data transmission efficiency, but also increases the time cost and energy consumption of data transmission. Third, there is a lack of effective coordination mechanism between cloud management and front-end device access and data transmission. The technical solutions of each link are relatively independent and not smooth enough, leading to problems such as delayed and inaccurate information transmission in the process of device access, data processing and cloud management, which cannot form an organic whole and thus affect the overall efficiency of terminal management, making it difficult to meet the growing demand for heterogeneous terminal management. SUMMARY

[0004] The purpose of the present application is to make up for the deficiencies of the prior art, and provide a heterogeneous terminal adaptive management system based on differential identification, which can access and identification management module through design equipment, establish the unique identity of the equipment by static DID, realize the dynamic association of equipment identification and network location by dynamic mapping table, and guarantee communication through protocol adaptation, effectively solve the problem of close association between equipment access identification and network location, in the state data processing and transmission, the state data processing and transmission module first slices the terminal state and associates the identification, and then processes the data by differential encoding and compression technology, greatly reducing the data transmission amount and reducing the bandwidth occupation, while the transmission control unit can monitor the data transmission process in real time, and can restore the transmission based on dynamic mapping ID when the network is interrupted, ensuring the reliability and efficiency of data transmission, and the cloud collaborative management module is responsible for receiving the processed data, combining with the equipment identification information, realizing the overall management and collaborative control of the terminal, the present application significantly improves the adaptability and efficiency of terminal management, and provides strong support for the large-scale application and management of intelligent terminals.

[0005] The present application provides the following technical solutions to solve the above technical problems: a heterogeneous terminal adaptive management system based on differential identification, which comprises: a device access and identification management module, a state data processing and transmission module, and a cloud collaborative management module.

[0006] The device access and identification management module comprises an identity identification unit, a location mapping unit, and a protocol adaptation unit, which establishes the identity of the equipment by static DID, associates the equipment identification and network location by dynamic mapping table, and guarantees communication through protocol adaptation, realizing the effective management of device access and identification and location.

[0007] The state data processing and transmission module comprises a state slicing unit, a differential encoding unit, and a transmission control unit, which slices the terminal state and associates the identification, and then processes the data by differential encoding and compression, and guarantees data transmission by transmission control, realizing efficient processing and transmission of terminal state data.

[0008] The cloud collaborative management module comprises a data decoding and reconstruction unit, a device state monitoring unit, and a resource scheduling unit, which decodes and reconstructs the complete state of the terminal, monitors the device state and sends instructions, schedules resources according to relevant information, and realizes effective management and collaborative control of the terminal.

[0009] Further, in the device access and identification management module, the identity identification unit pre-burns a unique static DID based on CHIPID encryption hash when the equipment is shipped, and sends it to the location mapping unit to complete the initial identity registration.

[0010] Further, the device access and identity management module comprises a location mapping unit, which receives the static DID sent by the identity unit, constructs a dynamic mapping table in the cloud, and generates a dynamic mapping ID through a dynamic mapping ID generation algorithm formula The static DID is dynamically associated with the current network location of the device, a dynamic mapping ID is generated, and the dynamic mapping ID is fed back to the protocol adaptation unit, wherein, represents the dynamic mapping ID, represents the static DID, is a current timestamp, represents the current network location information of the device, is a self-defined encryption hash function, is a mapping table capacity threshold, and 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 related unit.

[0011] Further, the device access and identity management module comprises a location mapping unit, which receives the static DID sent by the identity unit, constructs a dynamic mapping table in the cloud, and generates a dynamic mapping ID through a dynamic mapping ID generation algorithm formula

[0012] Further, the state data processing and transmission module comprises a state slicing unit, which receives the communication channel information with the dynamic mapping ID provided by the protocol adaptation unit, divides the terminal state into multiple independent dimensions including display content, hardware parameters and network state, and associates the dynamic mapping ID of the device with each dimension.

[0013] Further, the state data processing and transmission module comprises a differential encoding unit, which, after the location mapping unit of the device access and identity management module completes initial mapping and obtains a dynamic mapping ID, uploads full-amount reference state data to the cloud when the device transmits data for the first time; in subsequent transmission, receives the sliced data provided by the state slicing unit and carries the dynamic mapping ID, and generates differential data of each dimension compared with the reference state through a differential data generation algorithm formula generate differential data of each dimension compared with the reference state, wherein, represents the differential data of the th state dimension in the th transmission, is the current state data of the th state dimension at the th moment, is the full-amount reference state data of the th state dimension, is the weight coefficient of the th historical state data, is the differential data of the th state dimension in the the historical state data of the moment, an operator associated with the custom dimension, and a compression algorithm for compressing the differential data, wherein the compression algorithm is: wherein, represents the output result of the th compression unit, when a matching segment is found in the sliding window, a binary tuple composed of the offset and the length is output, otherwise the current character is directly output, is the offset of the matching segment in the sliding window, that is, the distance between the current position and the starting position of the matching segment in the window, is the length of the matching segment, that is, the number of bytes of the longest matching sequence found, represents a segment in the differential data starting from the th position and having a length of , represents a matching segment in the sliding window starting from the th position and having a length of , is the th single character in the differential data for which no matching is found, is a preset maximum matching length threshold determined by the average segment length of the differential data and system performance requirements, used to limit the matching length, and the compressed differential data carries a dynamic mapping ID and is sent to the transmission control unit.

[0014] Further, in the state data processing and transmission module, the transmission control unit receives the compressed differential data carrying the dynamic mapping ID sent by the differential encoding unit, transmits the compressed differential data to the cloud through the channel provided by the protocol adaptation unit, monitors the data transmission process, records the transmission breakpoint of the differential data and the corresponding dynamic mapping ID when the network is interrupted, and based on the dynamic mapping ID, queries the position mapping unit to obtain the current network position of the device, and continues to transmit the data.

[0015] Further, in the cloud collaborative management module, the data decoding and reconstruction unit receives the differential data carrying the dynamic mapping ID sent by the transmission control unit, queries the dynamic mapping table constructed by the position mapping unit to determine the corresponding static DID and reference state data, fuses the differential data and the reference state data, reconstructs the complete current state of the terminal, and verifies the reconstructed data through the terminal state reconstruction confidence algorithm formula wherein, represents the confidence of the terminal state reconstruction, is the actual current state of the terminal, is the full reference state data, is the differential data obtained by decoding, and are weight coefficients. Represent data transmission stability index, check does not pass when informing transmission control unit retransmission, will send the complete state data after reconstruction to the device state monitoring unit.

[0016] Further, in the cloud collaborative management module, the device state monitoring unit receives the terminal complete state data sent by the data decoding and reconstruction unit, monitors the running state of the terminal, and when finding that the hardware parameters or network state are abnormal, sends adjustment instructions to the terminal in combination with the device position information in the dynamic mapping table of the position mapping unit, sends the device state update information to the resource scheduling unit, and updates the device state library.

[0017] Further, in the cloud collaborative management module, the resource scheduling unit receives the device state update information sent by the device state monitoring unit, and allocates the computing and storage resources of the cloud according to the state data of each terminal and the device distribution in the dynamic mapping table of the position mapping unit.

[0018] Compared with the prior art, the heterogeneous terminal adaptive management system based on differential identification has the following beneficial effects:

[0019] Firstly, the device access and identification management module is adopted to establish the device identity by using static DID, and the device identification and network position are associated by means of the dynamic mapping table, so that the problem of close association between device access identification and network position in the traditional terminal management system is solved, and when the device migrates across regions or the network environment changes, the position mapping unit can update the dynamic mapping table in real time, so that the device can be effectively identified and managed, and the adaptability of terminal management to different network environments and device position changes is greatly improved.

[0020] Secondly, the differential encoding unit in the state data processing and transmission module transmits only the differential data with the reference state after the first transmission of the full reference state data of the device, and the LZ77 compression algorithm is adopted for compression, so that the data transmission amount is effectively reduced, the bandwidth occupation is reduced, and 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 transmission based on the ID after the network is restored, so that the reliability of data transmission is ensured.

[0021] Other advantages, objects, and features of the present application will be set forth in part in the following specification taken in conjunction with the accompanying drawings, and in part will become apparent to those skilled in the art from a consideration of the following specification and from the practice of the application as hereinafter described. BRIEF DESCRIPTION OF DRAWINGS

[0022] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the drawings needed to be used in the embodiments or prior art description will be briefly introduced. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can also be obtained by those skilled in the art without creative labor on the basis of these drawings.

[0023] Figure 1 Structure block diagram of the adaptive heterogeneous terminal management system based on differential identification;

[0024] Figure 2 Structure diagram of the device access and identification management module of the adaptive heterogeneous terminal management system based on differential identification;

[0025] Figure 3 Structure diagram of the state data processing and transmission module of the adaptive heterogeneous terminal management system based on differential identification;

[0026] Figure 4 Structure diagram of the cloud collaborative management module of the adaptive heterogeneous terminal management system based on differential identification. DETAILED DESCRIPTION

[0027] In order to further illustrate the technical means and effects adopted by the present application to achieve the predetermined application purpose, the specific embodiments, structures, features and effects according to the present application will be described in detail below in combination with the drawings and preferred embodiments.

[0028] Embodiment one: A certain factory deploys an adaptive heterogeneous terminal management system based on differential identification, which is integrated in an intelligent manufacturing operation system, and is used to manage heterogeneous terminal devices such as industrial robots, intelligent sensors, AGVs (automatic guided vehicles) and the like in the workshop, so as to realize efficient collaboration and precise management and control of production equipment.

[0029] As shown in Figure 1 , when the industrial robot accesses the system, the identity identification unit of the device access and identification management module sends the pre-burned static DID of the industrial robot to the position mapping unit, and the position mapping unit constructs a dynamic mapping table according to a dynamic mapping ID generation algorithm formula. The dynamic mapping ID generation algorithm formula dynamically associates the static DID with the current network position of the device, generates a dynamic mapping ID, and feeds back the dynamic mapping ID to the protocol adaptation unit, wherein, represents the dynamic mapping ID, represents the static DID, is the current timestamp, represents the current network position information of the device, is a self-defined encryption hash function, For the mapping table capacity threshold, when the device network location 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 related unit. The static DID is associated with the current industrial Ethernet location of the robot, a dynamic mapping ID is generated and fed back to the protocol adaptation unit, the protocol adaptation unit encapsulates the Profinet communication protocol of the robot, and the dynamic mapping ID is integrated into the protocol adaptation unit. The robot completes the access within 15 seconds and becomes a terminal node that can be recognized by the intelligent manufacturing operation system.

[0030] The state slicing unit of the state data processing and transmission module receives the communication channel information with the dynamic mapping ID, divides the state of the industrial robot into dimensions such as running parameters (such as joint angle, running speed), fault code, and energy consumption data, and associates each dimension with the corresponding dynamic mapping ID. After the initial mapping is completed, the differential encoding unit uploads the full-amount reference state data, including the initial value of the joint angle, the rated running speed, the zero fault code, and the standard energy consumption range. When the robot performs welding work, the running speed is adjusted from 2 m / s to 1.5 m / s, and the energy consumption data slightly increases. The differential encoding unit generates differential data according to the differential data generation algorithm formula The differential data of these two dimensions is generated and compressed using a compression algorithm, and then sent to the transmission control unit with the dynamic mapping ID. The transmission control unit transmits the data to the cloud platform of the intelligent manufacturing operation system through the channel provided by the protocol adaptation unit. Even if the workshop network is disturbed by the start and stop of the device, the transmission control unit can record the breakpoint and quickly recover the transmission based on the dynamic mapping ID, ensuring the continuity of the production data.

[0031] The data decoding and reconstruction unit of the cloud collaborative management module receives the differential data, queries the dynamic mapping table to determine the robot identity and reference state, and combines the terminal state to reconstruct the confidence algorithm formula The complete state is reconstructed, and the device state monitoring unit monitors the robot running parameters in the reasonable range in real time. When an intelligent sensor detects an abnormal temperature, the dynamic mapping table of the position mapping unit is combined to quickly locate the production station where the sensor is located, and sends a material transfer adjustment instruction to the AGV in the area. The resource scheduling unit allocates more computing resources to high-priority assembly processes in the intelligent manufacturing operation system based on the state data and distribution of each terminal, ensuring that the real-time control instructions of the industrial robot are processed in priority.

[0032] When the AGV is migrated to a new work area due to workshop layout adjustment, the position mapping unit updates the association information between the static DID of the AGV in the dynamic mapping table and the new network position in real time, and the protocol adaptation unit automatically matches the communication protocol of the new area. The state data processing and transmission module and the cloud collaborative management module do not need to be reconfigured, and can continue to monitor the state and schedule the task of the AGV through the dynamic mapping ID, realizing seamless management of heterogeneous terminals across areas in the intelligent manufacturing scene, and improving the flexibility and anti-interference ability of the production system.

[0033] Embodiment two: A certain enterprise deploys a heterogeneous terminal adaptive management system based on differential identification, which is used to manage multiple intelligent conference screens, printers, attendance machines and other heterogeneous terminals in the office area.

[0034] When the intelligent conference screen accesses the terminal access system, the identity unit of the device access and identity management module sends the pre-burned static DID of the conference screen to the position mapping unit. As shown in FIG. 1, the position mapping unit immediately constructs a dynamic mapping table, quickly associates the static DID with the current network position of the conference screen, generates a dynamic mapping ID, and quickly feeds back to the protocol adaptation unit. The protocol adaptation unit efficiently encapsulates the communication protocol of the conference screen, integrates the dynamic mapping ID into the communication channel, and completes the whole process within 30 seconds, successfully realizing device access. Figure 2

[0035] As shown in FIG. 2, after the state slicing unit of the state data processing and transmission module receives the communication channel information with the dynamic mapping ID, the state of the conference screen is accurately divided into multiple dimensions such as display content, hardware temperature, network connection state, and audio output. Each dimension is clearly associated with the corresponding dynamic mapping ID. After the position mapping unit completes the initial mapping, the differential encoding unit first transmits the full reference state data of the conference screen, including the current display conference login interface, the hardware temperature of 45°C, the stable network connection state, and the audio output volume of 50%, etc. During the subsequent conference, the display content of the conference screen is switched to a document interface, the hardware temperature rises to 47°C due to continuous operation, the network connection state remains stable, and the audio output volume is adjusted to 30%. The differential encoding unit quickly generates differential data of the three dimensions of display content, hardware temperature and audio output, and sends it to the transmission control unit in time after compression by using the LZ77 compression algorithm, carrying the dynamic mapping ID. The transmission control unit transmits the data to the cloud through the channel provided by the protocol adaptation unit. During the transmission process, there is a short interruption due to network fluctuation in the office area, with a duration of about 10 seconds. The transmission control unit immediately records the transmission breakpoint and the corresponding dynamic mapping ID. After the network is restored, the current network position of the conference screen is instantly obtained based on the dynamic mapping ID to query the position mapping unit, and the data transmission is seamlessly continued to ensure that the conference data is not lost. Figure 3

[0036] As​​Figure 4 As shown, after the cloud collaborative management module data decoding reconstruction unit receives the differential data, it quickly queries the dynamic mapping table to determine the corresponding static DID and reference state data, accurately reconstructs the complete current state of the conference screen, the device state monitoring unit receives the complete state data, and real-time monitoring is performed on the hardware temperature in the normal range, the display content switching is smooth, the audio output is normal, when a paper jam occurs in another printer terminal in the office area, causing a hardware failure, the device state monitoring unit captures the abnormality within 10 seconds, combines the position information in the dynamic mapping table of the position mapping unit, immediately sends a repair instruction to the printer, and synchronously sends the state update information to the resource scheduling unit and the enterprise device management platform, the resource scheduling unit reasonably allocates the cloud computing resources according to the state and distribution of each terminal, preferentially guarantees the data processing requirements of the conference screen and the attendance machine, and ensures the normal progress of the conference and the accurate recording of the employee attendance data.

[0037] The above is only a preferred embodiment of the present application, and does not limit the present application in any form. Although the present application has been disclosed as above with a preferred embodiment, it is not intended to limit the present application. Any person skilled in the art can make some changes or modifications to the above disclosed technical content without departing from the scope of the present application, and any equivalent embodiments with equivalent changes are equivalent to the above embodiments. Any modification, change, equivalent change and modification of the above embodiments, which does not depart from the technical solution of the present application, are still within the scope of the present application.

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 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 state, with each dimension associated with the device's dynamic mapping ID. 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 algorithm formulas 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. Is it the first or the second? 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. 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 obtains the current network location of the device based on the dynamic mapping ID by querying the location mapping unit, and continues to transmit 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 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.

6. 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.

7. 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.

Images