A digital twin management system for cross-regional technology transfer services

Abstract

This application relates to the field of cross-regional technology transfer services, and discloses a digital twin management system for cross-regional technology transfer services, comprising: a digital twin modeling unit: collecting physical parameters of the equipment to be transferred, including interface type, power level, environmental data of the enterprise's existing production line, circuit load, and spatial dimensions, establishing a corresponding virtual model and a virtual environment of the production line, and supporting modeling of protocol characteristics of USB and Type-C non-numerical interfaces; and a compatibility evaluation unit: receiving parameters from the virtual model. This invention can improve the accuracy and efficiency of cross-regional technology transfer. Through the high-precision data collection of the digital twin modeling unit and the dynamic weighting algorithm of the compatibility evaluation unit, the matching degree of the equipment and the production line in multiple dimensions such as interface, power, size, and protocol can be quantified. Combined with the conflict pre-detection mechanism of the virtual verification unit, the rework costs and time losses caused by inaccurate evaluation are significantly reduced.

Description

Technical Field

[0001] This invention relates to the field of cross-regional technology transfer service technology, specifically a digital twin management system for cross-regional technology transfer services. Background Technology

[0002] A digital twin management system is a digital management system based on digital twin technology. It collects multi-dimensional data of physical entities, constructs a virtual model that accurately maps to the physical entities, and relies on the virtual model to realize a digital management system for the entire lifecycle of the physical entities.

[0003] In existing technologies, digital twin management systems for cross-regional technology transfer services typically construct simplified virtual models by manually inputting equipment parameters and production line data. They use fixed-weight evaluation indicators to determine equipment compatibility, estimate the transformation cost based on experience values, and generate transformation plans. Some systems will verify the plans through simple virtual scenario simulations and finally output static technology transfer reports.

[0004] Existing data acquisition relies on manual input or low-precision sensors, resulting in significant errors between equipment physical parameters and production line environmental data. Compatibility assessment uses fixed-weight indicators, which cannot quantify the matching degree of multiple dimensions such as interface, power, size, and protocol, and is difficult to adapt to the differences in technical standards of different industries or regions, resulting in rework costs and time losses due to inaccurate assessments. Summary of the Invention

[0005] To address the shortcomings of existing technologies, this invention provides a digital twin management system for cross-regional technology transfer services, which solves the problem that data acquisition relies on manual input or low-precision sensors, resulting in large errors between equipment physical parameters and production line environmental data.

[0006] To achieve the above objectives, the present invention provides the following technical solution: a digital twin management system for cross-regional technology transfer services, comprising:

[0007] Digital twin modeling unit: Collects physical parameters of the device to be transferred, including interface type, power level, environmental data of the enterprise's existing production line, circuit load, and space size, and establishes corresponding virtual models and virtual production line environments. It also supports modeling the protocol characteristics of USB and Type-C non-numerical interfaces.

[0008] Compatibility assessment unit: Receives parameters from the virtual model, combines them with regional standards in the standard database unit, calculates the overall compatibility through a dynamic weighting algorithm, and outputs the matching score and abnormal parameter prompts;

[0009] Modification scheme generation unit: Based on the compatibility results, it formulates modification schemes, calculates estimated costs through cost optimization algorithms, and dynamically adjusts the cost model by receiving attenuation data from the trend prediction unit, thus forming feedback incentives for compatibility assessment.

[0010] Virtual verification unit: Import the modification plan into a virtual environment to simulate the installation process, detect conflict points and generate a verification report. When verification fails, it triggers the solution iteration or manual intervention process, providing an optimization basis for compatibility assessment.

[0011] Standard database unit: Stores technical standards and past case data for each region, providing a calibration basis for the dynamic weights of compatibility assessment, and also receives conflict data from virtual verification units to optimize assessment thresholds;

[0012] Trend prediction unit: Calculates the attenuation rate based on initial compatibility and technology iteration data, and pushes the results to the modification scheme generation unit for cost adjustment;

[0013] Each unit operates in tandem via a two-way data interface. The specific process is as follows: The digital twin modeling unit collects and organizes various data from the equipment to be transferred and the company's existing production lines, and transmits this basic data to the compatibility assessment unit, providing the initial basis for calculating the overall compatibility. After calculating the overall compatibility using a dynamic weighting algorithm, the compatibility assessment unit transmits the result to the modification scheme generation unit, serving as an important basis for formulating modification schemes and calculating estimated costs. The modification scheme generation unit establishes a correlation between cost and overall compatibility using a cost optimization algorithm. When the overall compatibility improves, the cost decreases accordingly. This correlation creates feedback, prompting the compatibility assessment unit to continuously optimize the calculation of overall compatibility and improve the accuracy of the assessment. After the virtual verification unit simulates and verifies the modification scheme, it synchronizes the verification results to the standard database unit and the modification scheme generation unit. The standard database unit optimizes the assessment threshold based on these results, while the modification scheme generation unit adjusts the modification scheme according to the results. The entire linkage process is centered on the dynamic weighting algorithm and the cost optimization algorithm, forming a continuously optimized dynamic closed loop.

[0014] Preferably, the dynamic weighting algorithm formula for the compatibility evaluation unit is:

[0015]

[0016] in:

[0017] in For the first The dynamic weights of the class parameters are initially set as follows: interface matching 30%, power adaptation 25%, size compatibility 20%, and protocol interoperability 25%, and users can customize the weights according to their industry.

[0018] Ci is the first The score for matching class parameters ranges from 0 to 100 points, with 100 points awarded for a perfect match.

[0019] The overall compatibility threshold C can be customized by the user. C≥80 indicates that it can be directly connected. The default value is determined based on the statistics of successful cases in the region in the standard database unit.

[0020] Preferably, the cost optimization algorithm formula used by the modification scheme generation unit is:

[0021]

[0022] in:

[0023] K0 is the baseline renovation cost, which is dynamically updated by the standard database unit based on historical data of equipment of the same type in the same area.

[0024] The 3-year compatibility decay rate calculated for the trend prediction unit is used to reserve costs for additional technical maintenance.

[0025] To assess the difficulty of the upgrade, the F2 threshold for power grid upgrades is set at 1.5, and can be adjusted based on the technological maturity of the region. In remote areas, the F2 threshold for power grid upgrades can be increased to 1.8.

[0026] The algorithm adjusts the cost in reverse by adjusting the C value. When C increases, the coefficient (1-C / 100) decreases, which directly reduces the cost estimate and thus promotes the optimization of the C value by the compatibility evaluation unit.

[0027] The proportional coefficient in the cost threshold allows users to flexibly set it according to their enterprise budget. The 0.5 in K>0.5P is adjustable, and the relevant setting records will be synchronized to the standard database unit.

[0028] Preferably, the calculation rule for the interface matching score C1 is as follows:

[0029] The numerical interface diameter is calculated as C1 = 100 × (1 - |D - D0| / D0), and C1 = 0 when the parameter deviation rate |D - D0| / D0 > 20%.

[0030] Non-numerical interfaces USB and Type-C use standard database units to match interface protocol compatibility. When protocol conversion is supported, C1=60; when it is not supported at all, C1=0.

[0031] When the interface parameters are missing, C1 is assigned a default value of 30 and the virtual verification unit is triggered for key detection. The detection results are used to calibrate the calculation logic of C1.

[0032] Preferably, the calculation rule for the power compatibility score C2 is as follows:

[0033] When P0 ≠ 0, meaning the circuit has detected data, C2 = 100 × min(P / P0, P0 / P);

[0034] When P0=0, meaning the circuit is not detected, C2=0 and a circuit detection prompt is sent.

[0035] When P > 1.5 × P0, meaning the equipment power exceeds 1.5 times the circuit's carrying capacity, it is determined to be insufficient power. C2 = 0, and the modification scheme generation unit automatically includes the transformer configuration cost. The configuration cost data is synchronized to the standard database to optimize the threshold setting of C2.

[0036] Preferably, the failure handling mechanism of the virtual verification unit includes:

[0037] In the event of a Level 1 failure, i.e. a single minor conflict, the modification parameters are automatically adjusted, the interface converter model is changed, the K value is recalculated, and a secondary verification is triggered. The verification results are used to correct the parameter weights of the compatibility assessment.

[0038] Level 2 failure means two or more conflicts, then... The conflict values ​​are prioritized and pushed to the modification scheme generation unit to optimize the modification order. The ranking results are fed back to the compatibility assessment unit to adjust the parameter scoring logic.

[0039] Level 3 failure means that when the verification fails three times in a row, manual intervention is automatically triggered. The conflict details are pushed to the technical expert terminal. After receiving the manual adjustment instructions, the solution is updated, and the manual adjustment record is stored in the standard database for calibrating dynamic weights.

[0040] Preferably, the calculation rule for the protocol interoperability score C4 is as follows:

[0041] When N≠0, i.e., the existing system has protocol records, C4=100×M / N, where M is the number of common protocols and N is the total number of existing protocols;

[0042] When N=0, meaning there are no existing protocol records in the system, C4=50 and a prompt will appear to request additional system protocol information.

[0043] When a protocol conversion tool is available, the M value can be increased by the number of protocols compatible after conversion, not exceeding N. The conversion effect data is synchronized to the standard database to optimize the matching logic of C4.

[0044] Preferably, the modification scheme generation unit receives the trend prediction unit's... After the data is collected, adjust the costs according to the following rules:

[0045] When K is less than 20, the original K value remains unchanged;

[0046] 20≤ When the value is less than 40, the K value is increased by 10% as a reserve for technology upgrades;

[0047] When the value is ≥40, an alternative device search is triggered, and matching is given priority. Equipment <20;

[0048] The adjustment results are synchronized to the compatibility assessment unit to optimize the assessment dimensions of the initial compatibility.

[0049] Preferably, the threshold optimization mechanism for the standard database unit is as follows:

[0050] When the actual mismatch rate of a certain parameter interface in the conflict data of the virtual verification unit is more than 50% higher than the evaluation result, the Ci judgment threshold of that parameter is automatically lowered from 80 to 70. After adjusting the characteristics of the recorded annotation area, it is stored in the historical case library to provide a basis for dynamic weight calibration of compatibility evaluation.

[0051] Preferably, the decay rate of the trend prediction unit is calculated as follows:

[0052] Based on the initial compatibility C, the technology iteration speed T, and the regional technology iteration coefficient R, R is set to 1.2 for the eastern region and 0.8 for the central and western regions. T is divided into three levels according to the iteration speed: 1 slow, 2 medium, and 3 fast. The calculation results are pushed to the transformation scheme generation unit in real time. The cost algorithm has a reverse influence on the compatibility assessment. When the attenuation rate is high, the system prioritizes to improve the initial compatibility to reduce long-term costs, thus promoting the continuous optimization of the first algorithm.

[0053] This invention provides a digital twin management system for cross-regional technology transfer services. It has the following beneficial effects:

[0054] 1. This invention can improve the accuracy and efficiency of cross-regional technology transfer. Through the high-precision data acquisition of the digital twin modeling unit and the dynamic weight algorithm of the compatibility evaluation unit, the matching degree of equipment and production line in multiple dimensions such as interface, power, size, and protocol can be quantified. Combined with the conflict pre-detection mechanism of the virtual verification unit, the rework cost and time loss caused by inaccurate evaluation can be greatly reduced.

[0055] 2. This invention can enhance the system's adaptability and continuous optimization capabilities to complex scenarios. With the help of regional standard storage and threshold self-optimization functions of the standard database unit, as well as the technology decay rate calculation of the trend prediction unit, the system can adapt to the personalized needs of different industries such as food processing and automobile manufacturing, and adapt to the differences in technology iteration between different regions such as the east and the central and western regions. Attached Figure Description

[0056] Figure 1 This is a system flowchart of the present invention. Detailed Implementation

[0057] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0058] Please see the appendix Figure 1 The present invention provides a digital twin management system for cross-regional technology transfer services, comprising:

[0059] Digital twin modeling unit: Collects physical parameters of the device to be transferred, including interface type, power level, environmental data of the enterprise's existing production line, circuit load, and space size, and establishes corresponding virtual models and virtual production line environments. It also supports modeling the protocol characteristics of USB and Type-C non-numerical interfaces.

[0060] Compatibility assessment unit: Receives parameters from the virtual model, combines them with regional standards in the standard database unit, calculates the overall compatibility through a dynamic weighting algorithm, and outputs the matching score and abnormal parameter prompts;

[0061] Modification scheme generation unit: Based on the compatibility results, it formulates modification schemes, calculates estimated costs through cost optimization algorithms, and dynamically adjusts the cost model by receiving attenuation data from the trend prediction unit, thus forming feedback incentives for compatibility assessment.

[0062] Virtual verification unit: Import the modification plan into a virtual environment to simulate the installation process, detect conflict points and generate a verification report. When verification fails, it triggers the solution iteration or manual intervention process, providing an optimization basis for compatibility assessment.

[0063] Standard database unit: Stores technical standards and past case data for each region, providing a calibration basis for the dynamic weights of compatibility assessment, and also receives conflict data from virtual verification units to optimize assessment thresholds;

[0064] Trend prediction unit: Calculates the attenuation rate based on initial compatibility and technology iteration data, and pushes the results to the modification scheme generation unit for cost adjustment;

[0065] Each unit operates in tandem via a two-way data interface. The specific process is as follows: The digital twin modeling unit collects and organizes various data from the equipment to be transferred and the company's existing production lines, transmitting this basic data to the compatibility assessment unit to provide the initial basis for calculating the overall compatibility. The compatibility assessment unit calculates the overall compatibility using a dynamic weighting algorithm and then transmits the result to the modification plan generation unit, serving as a crucial foundation for developing modification plans and calculating estimated costs. The modification plan generation unit establishes a correlation between cost and overall compatibility using a cost optimization algorithm. As the overall compatibility improves, the cost decreases accordingly. This correlation creates feedback, prompting the compatibility assessment unit to continuously optimize the calculation of overall compatibility and improve assessment accuracy. After the virtual verification unit simulates and verifies the modification plan, it synchronizes the verification results to the standard database unit and the modification plan generation unit. The standard database unit optimizes the assessment threshold based on these results, while the modification plan generation unit adjusts the modification plan accordingly. The entire linkage process is centered on the dynamic weighting algorithm and the cost optimization algorithm, forming a continuously optimizing dynamic closed loop.

[0066] I. Digital Twin Modeling Unit:

[0067] The digital twin modeling unit is responsible for data acquisition and virtual model construction. It collects the physical parameters of the equipment to be transferred, including but not limited to interface type and power level. It also collects environmental data of the enterprise's existing production line, including but not limited to space dimensions.

[0068] 1. Regarding interface type collection:

[0069] The industrial vision sensor model Baslerac A2500-14uc is used. The high-definition lens has a resolution of 2592×1944 to capture the appearance of the interface of the device to be transferred. The image recognition algorithm based on the OpenCV library is used to automatically identify the interface type. The sensor is installed 30-50cm in front of the device interface and fixed with a bracket. During the acquisition, an LED ring light source is triggered to supplement the light to ensure image clarity and avoid recognition errors caused by interface dirt or reflection.

[0070] For interfaces with pins, it is necessary to use a macro lens with a focal length of 12mm to photograph the pin arrangement pattern and accurately record the number and distribution spacing of pins by comparing it with the interface template in the standard database.

[0071] 2. Power parameter acquisition:

[0072] A Hall current sensor (ACS712-05B) and a voltage sensor (LV25-P) are used in combination to collect real-time current and voltage data during device operation. The sensors are connected in series in the device's power supply circuit, and the sampling frequency is set to 1kHz. A Yokogawa WT310 digital power meter is also used as a calibration device. The sensor data is automatically compared with the power meter's measured value every hour (error must be ≤±0.5%) to ensure the accuracy of the power data. The data collection covers four operating conditions of the device: standby, startup, full load, and shutdown. Each operating condition is recorded continuously for 5 minutes, and finally, a power characteristic curve is generated.

[0073] 3. Spatial dimension acquisition:

[0074] A FaroFocus S70 3D laser scanner was used to perform a panoramic scan of the company's existing production line. The scan range covered the length, width, and height of the equipment installation area, as well as surrounding obstacles. The scanner resolution was set to 600 dpi, the scanning distance was 0.6-70 meters, and the point cloud accuracy reached ±2mm. Approximately 5 million 3D coordinate points were collected for every 10 square meters of area. For detailed dimensions of the equipment, a Bosch GLM500 handheld laser rangefinder was used for auxiliary measurement with an accuracy of ±1mm. The data was directly entered into the system's dimension annotation module.

[0075] 4. Protocol Feature Acquisition:

[0076] Protocol feature modeling is performed for non-numerical interfaces, including but not limited to USB and Type-C: A Keysight U4154A protocol analyzer is used, connected in series between the interface and the test host, and connected via a USB 3.0 / Type-C test cable to collect data packets during interface communication. The data packets include but are not limited to transmission rate, data frame format, handshake signals, and power supply protocol. The protocol decoding function is activated to automatically identify the USB 2.0 / 3.1 and Type-C PD protocol versions, extract key parameters including but not limited to maximum power supply current and data transmission mode, and compare and analyze them with the protocol feature library in the standard database. Finally, the working state of the interface is accurately simulated in a virtual environment.

[0077] The digital twin modeling unit will use the collected data to create a virtual model corresponding to the equipment to be transferred and a virtual environment of the production line, laying the foundation for subsequent compatibility assessment.

[0078] II. Compatibility Assessment Unit:

[0079] The dynamic weighting algorithm formula for the compatibility evaluation unit is as follows:

[0080]

[0081] in:

[0082] in For the first The dynamic weights of the class parameters are initially set as follows: interface matching 30%, power adaptation 25%, size compatibility 20%, and protocol interoperability 25%, and users can customize the weights according to their industry.

[0083] Ci is the first The score for matching class parameters ranges from 0 to 100 points, with 100 points awarded for a perfect match.

[0084] The threshold for overall compatibility C can be customized by the user. C≥80 indicates that it can be directly connected. The default value is determined based on the statistics of successful cases in the region in the standard database unit.

[0085] The compatibility assessment unit first receives the virtual model parameters transmitted by the digital twin modeling unit, including the interface geometry, power curve, communication protocol frame structure of the device to be transferred, and the spatial three-dimensional coordinates of the production line. At the same time, it calls the regional technical standards stored in the standard database unit as the assessment benchmark.

[0086] The calculation rule for the interface matching score C1 is as follows:

[0087] The numerical interface diameter is calculated as C1 = 100 × (1 - |D - D0| / D0), and C1 = 0 when the parameter deviation rate |D - D0| / D0 > 20%.

[0088] Non-numerical interfaces USB and Type-C use standard database units to match interface protocol compatibility. When protocol conversion is supported, C1=60; when it is not supported at all, C1=0.

[0089] When the interface parameters are missing, C1 is assigned a default value of 30 and the virtual verification unit is triggered for key detection. The detection results are used to calibrate the calculation logic of C1.

[0090] The calculation rules for the power compatibility score C2 are as follows:

[0091] When P0 ≠ 0, meaning the circuit has detected data, C2 = 100 × min(P / P0, P0 / P);

[0092] When P0=0, meaning the circuit is not detected, C2=0 and a circuit detection prompt is sent.

[0093] When P>1.5×P0, meaning the equipment power exceeds 1.5 times the circuit's carrying capacity, it is determined to be insufficient power, C2=0, and the modification scheme generation unit automatically includes the transformer configuration cost. The configuration cost data is synchronized to the standard database for optimizing the threshold setting of C2.

[0094] The calculation rules for the protocol interoperability score C4 are as follows:

[0095] When N≠0, i.e., the existing system has protocol records, C4=100×M / N, where M is the number of common protocols and N is the total number of existing protocols;

[0096] When N=0, meaning there are no existing protocol records in the system, C4=50 and a prompt will appear to request additional system protocol information.

[0097] When a protocol conversion tool exists, the M value can be increased by the number of protocols compatible after conversion, not exceeding N. The conversion effect data is synchronized to the standard database to optimize the matching logic of C4.

[0098] 1. Dynamic weights ( Setting and calibration of )

[0099] The four core parameters represent their respective weights in the comprehensive evaluation. The initial values ​​are set based on cross-industry big data analysis: Interface matching (Wi1): 30%, Power compatibility (Wi2): 25%, Size compatibility (Wi3): 20%, Protocol interoperability (Wi4): 25%.

[0100] Industry-specific adjustment mechanism:

[0101] Food processing industry: Due to the need for frequent cleaning of the production environment and extremely high requirements for interface sealing, users can adjust Wi1 to 40% and reduce Wi4 to 15%. After adjustment, even slight mismatches in interface parameters will have a greater impact on the overall score.

[0102] In the automotive manufacturing industry, production lines rely on the collaborative control of multiple devices, and protocol compatibility directly determines the production cycle time. Users can increase Wi4 to 35% and reduce Wi3 to 10%. At this point, the level of protocol interoperability score becomes the core of the evaluation.

[0103] Automatic calibration mechanism for historical cases:

[0104] The system uses formulas '= ×(1+0.1×Hi) dynamic optimization weight, where Hi is the conflict occurrence rate (number of conflicts / total number of projects) of this parameter in nearly 100 similar projects.

[0105] For example, if the interface matching conflict rate Hi=0.3 in the electronics industry, then after calibration, Wi1'=0.3×(1+0.1×0.3)=0.309 (30.9%), and the weight is increased by 3% to strengthen the focus on high-risk parameters;

[0106] The conflict rate Hi for power adaptation in the textile industry is 0.05 (5%), then Wi2' = 0.25 × (1 + 0.1 × 0.05) = 0.25125 (25.125%), and the weight remains basically unchanged;

[0107] 2. Calculation rules for parameter matching score (Ci):

[0108] Ci generates a score from 0 to 100 by quantifying the degree of parameter matching. The specific calculation logic and examples are as follows:

[0109] Interface matching score (C1):

[0110] For a circular numerical interface with a diameter of 10mm: using the formula C1=100×(1-|D-D0| / D0), where the equipment interface diameter D=10.5mm, the production line interface D0=10mm, and the deviation rate is 5%, then C1=95 points; for D=12.5mm, and the deviation rate is 25%, then C1=0 points.

[0111] Type-C non-numerical interface: 100 points for fully compatible protocols for data transmission and power transmission; 60 points for supporting only data transmission protocols; 0 points for completely incompatible protocols.

[0112] Power compatibility score (C2):

[0113] When the production line circuit load P0=1000W and the equipment power P=800W, C2=100×min(800 / 1000,1000 / 800)=80 minutes;

[0114] P=1600W, which is more than 1.5 times P0, so the power is insufficient and C2=0 points.

[0115] Size compatibility score (C3):

[0116] The equipment's dimensions (1m x 0.8m x 2m) perfectly match the reserved space on the production line (1.2m x 1m x 2.2m), earning 100 points.

[0117] The equipment width is 0.8m, which exceeds the reserved space by 0.7m, and the deviation rate is 14.3%. Therefore, the deduction points are 100×(1-0.143)=85.7 points.

[0118] Protocol interoperability score (C4):

[0119] The production line currently has 10 communication protocols, and the equipment supports 8 of them. C4 = 100 × 8 / 10 = 80 points;

[0120] If there is a protocol conversion tool that can be compatible with one additional protocol, then C4 = 100 × 9 / 10 = 90 points;

[0121] 3. Calculation and determination of overall compatibility (C):

[0122] After industry-specific weighting: Wi1=20%, Wi2=20%, Wi3=10%, Wi4=50%;

[0123] Scores for each parameter: C1=80 points, C2=90 points, C3=100 points, C4=70 points;

[0124] Overall compatibility score: C = (0.2 × 80) + (0.2 × 90) + (0.1 × 100) + (0.5 × 70) = 16 + 18 + 10 + 35 = 79 points;

[0125] The system's default threshold of C ≥ 80 is considered "directly compatible," a value derived from statistics of 3000+ successful cases in the standard database.

[0126] When C ≥ 80, the actual installation pass rate reaches 97.6%; when C < 80, the pass rate drops sharply to 58.3%. Users can adjust the threshold according to their company's risk tolerance.

[0127] III. Modification Scheme Generation Unit:

[0128] The modification scheme generation unit receives the trend prediction unit's... After the data is collected, adjust the costs according to the following rules:

[0129] When K is less than 20, the original K value remains unchanged;

[0130] 20≤ When the value is less than 40, the K value is increased by 10% as a reserve for technology upgrades;

[0131] When the value is ≥40, an alternative device search is triggered, and matching is given priority. Equipment <20;

[0132] The adjustment results are synchronized to the compatibility evaluation unit to optimize the evaluation dimensions of the initial compatibility.

[0133] In a certain type When the values ​​are generally high, more attention will be paid to the relevant parameters of this type of device in the compatibility assessment;

[0134] IV. Virtual Verification Unit:

[0135] The failure handling mechanism for virtual verification units includes:

[0136] The main function of the virtual verification unit is to simulate and verify the modification plan. It imports the modification plan into a virtual environment to simulate the installation process. Through 3D modeling and simulation technology, it realistically restores the installation scenario, detects potential conflict points, and generates a verification report. If the verification fails, it will trigger the solution iteration or manual intervention process.

[0137] When a Level 1 failure occurs, i.e. a single minor conflict, the modification parameters are automatically adjusted, such as changing the interface converter model. The K value is recalculated and a secondary verification is triggered. The verification results are used to correct the parameter weights of the compatibility assessment. If a certain interface converter model is found to be prone to conflict in multiple verifications, the weight of that type of interface in the compatibility assessment will be reduced.

[0138] Level 2 failure means two or more conflicts, then... The conflict values ​​are prioritized and pushed to the modification scheme generation unit to optimize the modification order. The ranking results are fed back to the compatibility assessment unit to adjust the parameter scoring logic.

[0139] Level 3 failure means that when the verification fails three times in a row, manual intervention is automatically triggered. The conflict details are pushed to the technical expert terminal. After receiving the manual adjustment instructions, the solution is updated, and the manual adjustment record is stored in the standard database for calibrating dynamic weights.

[0140] V. Standard Database Unit:

[0141] The threshold optimization mechanism for standard database units is as follows:

[0142] When the actual mismatch rate of a certain parameter interface in the conflict data of the virtual verification unit is more than 50% higher than the evaluation result, the Ci judgment threshold of that parameter is automatically lowered from 80 to 70. After adjusting the characteristics of the recorded annotation area, it is stored in the historical case library to provide a basis for dynamic weight calibration of compatibility evaluation.

[0143] If the actual mismatch rate of interface parameters in a certain area is found to be much higher than the evaluation result, the judgment threshold of Ci for interface parameters in that area will be lowered.

[0144] VI. Trend Forecasting Unit:

[0145] The decay rate of the trend prediction unit is calculated as follows:

[0146] Based on the initial compatibility C, the technology iteration speed T, and the regional technology iteration coefficient R, R is taken as 1.2 in the eastern region and 0.8 in the central and western regions. T is divided into three levels according to the iteration speed: 1 slow, 2 medium, and 3 fast. The calculation results are pushed to the transformation scheme generation unit in real time. The cost algorithm has a reverse influence on the compatibility assessment. When the attenuation rate is high, the system prioritizes to improve the initial compatibility to reduce long-term costs, thus promoting the continuous optimization of the first algorithm.

[0147] In the eastern region where the technology iteration speed is fast (T=3), if the initial compatibility C is 70, the attenuation rate will be calculated according to the corresponding formula, and the cost will be adjusted accordingly. At the same time, the compatibility evaluation unit will be prompted to optimize the C value.

[0148] The digital twin modeling unit collects and organizes data and transmits it to the compatibility assessment unit; the compatibility assessment unit transmits the comprehensive compatibility results to the transformation scheme generation unit; the transformation scheme generation unit generates feedback through the correlation between cost and compatibility, prompting the compatibility assessment unit to optimize its calculations; the virtual verification unit synchronizes the verification results to the standard database unit and the transformation scheme generation unit, the standard database unit optimizes the evaluation threshold, and the transformation scheme generation unit adjusts the scheme. The entire linkage process is based on dynamic weighting algorithms and cost optimization algorithms, forming a continuously optimized dynamic closed loop to ensure the efficient and accurate implementation of cross-regional technology transfer services.

[0149] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A digital twin management system for cross-regional technology transfer services, characterized in that, include: Digital twin modeling unit: Collects physical parameters of the device to be transferred, including interface type, power level, environmental data of the enterprise's existing production line, circuit load, and space size, and establishes corresponding virtual models and virtual production line environments. It also supports modeling the protocol characteristics of USB and Type-C non-numerical interfaces. Compatibility assessment unit: Receives parameters from the virtual model, combines them with regional standards in the standard database unit, calculates the overall compatibility through a dynamic weighting algorithm, and outputs the matching score and abnormal parameter prompts; Modification scheme generation unit: Based on the compatibility results, it formulates modification schemes, calculates estimated costs through cost optimization algorithms, and dynamically adjusts the cost model by receiving attenuation data from the trend prediction unit, thus forming feedback incentives for compatibility assessment. Virtual verification unit: Import the modification plan into a virtual environment to simulate the installation process, detect conflict points and generate a verification report. When verification fails, it triggers the solution iteration or manual intervention process, providing an optimization basis for compatibility assessment. Standard database unit: Stores technical standards and past case data for each region, providing a calibration basis for the dynamic weights of compatibility assessment, and also receives conflict data from virtual verification units to optimize assessment thresholds; Trend prediction unit: Calculates the attenuation rate based on initial compatibility and technology iteration data, and pushes the results to the modification scheme generation unit for cost adjustment; Each unit works together through a two-way data interface. The specific process is as follows: the digital twin modeling unit collects and organizes various data of the equipment to be transferred and the company's existing production line, and transmits this basic data to the compatibility assessment unit to provide the original basis for calculating the overall compatibility. After the compatibility assessment unit calculates the overall compatibility using a dynamic weighting algorithm, it transmits the result to the transformation plan generation unit as an important basis for formulating the transformation plan and calculating the estimated cost. The modification scheme generation unit establishes a correlation between cost and overall compatibility using cost optimization algorithms. When overall compatibility improves, cost decreases accordingly. This correlation creates feedback, prompting the compatibility assessment unit to continuously optimize the calculation of overall compatibility and improve assessment accuracy. After the virtual verification unit simulates and verifies the modification scheme, it synchronizes the verification results to the standard database unit and the modification scheme generation unit. The standard database unit optimizes the assessment threshold based on these results, while the modification scheme generation unit adjusts the modification scheme according to the results. The entire linkage process is centered on dynamic weighting algorithms and cost optimization algorithms, forming a continuously optimized dynamic closed loop.

2. The digital twin management system for cross-regional technology transfer services according to claim 1, characterized in that, The dynamic weighting algorithm formula for the compatibility evaluation unit is as follows: in: in For the first The dynamic weights of the class parameters are initially set as follows: interface matching 30%, power adaptation 25%, size compatibility 20%, and protocol interoperability 25%, and can be customized by users according to their industry. Ci is the first The score for matching class parameters ranges from 0 to 100 points, with 100 points awarded for a perfect match. The overall compatibility threshold C can be customized by the user. C≥80 indicates that it can be directly connected. The default value is determined based on the statistics of successful cases in the region in the standard database unit.

3. The digital twin management system for cross-regional technology transfer services according to claim 1, characterized in that, The cost optimization algorithm formula used by the modification scheme generation unit is: in: K0 is the baseline renovation cost, which is dynamically updated by the standard database unit based on historical data of equipment of the same type in the same area. The 3-year compatibility decay rate calculated for the trend prediction unit is used to reserve costs for additional technical maintenance. To assess the difficulty of the upgrade, the F2 threshold for power grid upgrades is set at 1.5, and can be adjusted based on the technological maturity of the region. In remote areas, the F2 threshold for power grid upgrades can be increased to 1.

8. The algorithm adjusts the cost in reverse by adjusting the C value. When C increases, the coefficient (1-C / 100) decreases, which directly reduces the cost estimate and thus promotes the optimization of the C value by the compatibility evaluation unit. The proportional coefficient in the cost threshold allows users to flexibly set it according to their enterprise budget. The 0.5 in K>0.5P is adjustable, and the relevant setting records will be synchronized to the standard database unit.

4. The digital twin management system for cross-regional technology transfer services according to claim 1, characterized in that, The calculation rule for the interface matching score C1 is as follows: The numerical interface diameter is calculated as C1 = 100 × (1 - |D - D0| / D0), and C1 = 0 when the parameter deviation rate |D - D0| / D0 > 20%. Non-numerical interfaces USB and Type-C use standard database units to match interface protocol compatibility. When protocol conversion is supported, C1=60; when it is not supported at all, C1=0. When the interface parameters are missing, C1 is assigned a default value of 30 and the virtual verification unit is triggered for key detection. The detection results are used to calibrate the calculation logic of C1.

5. The digital twin management system for cross-regional technology transfer services according to claim 2, characterized in that, The calculation rule for the power compatibility score C2 is as follows: When P0 ≠ 0, meaning the circuit has detected data, C2 = 100 × min(P / P0, P0 / P); When P0=0, meaning the circuit is not detected, C2=0 and a circuit detection prompt is sent. When P > 1.5 × P0, meaning the equipment power exceeds 1.5 times the circuit's carrying capacity, it is determined to be insufficient power. C2 = 0, and the modification scheme generation unit automatically includes the transformer configuration cost. The configuration cost data is synchronized to the standard database to optimize the threshold setting of C2.

6. The digital twin management system for cross-regional technology transfer services according to claim 1, characterized in that, The failure handling mechanism of the virtual verification unit includes: In the event of a Level 1 failure, i.e. a single minor conflict, the modification parameters are automatically adjusted, the interface converter model is changed, the K value is recalculated, and a secondary verification is triggered. The verification results are used to correct the parameter weights of the compatibility assessment. Level 2 failure means two or more conflicts, then... The conflict values ​​are prioritized and pushed to the modification scheme generation unit to optimize the modification order. The ranking results are fed back to the compatibility assessment unit to adjust the parameter scoring logic. Level 3 failure means that when the verification fails three times in a row, manual intervention is automatically triggered. The conflict details are pushed to the technical expert terminal. After receiving the manual adjustment instructions, the solution is updated, and the manual adjustment record is stored in the standard database for calibrating dynamic weights.

7. The digital twin management system for cross-regional technology transfer services according to claim 2, characterized in that, The calculation rule for the protocol interoperability score C4 is as follows: When N≠0, i.e., the existing system has protocol records, C4=100×M / N, where M is the number of common protocols and N is the total number of existing protocols; When N=0, meaning there are no existing protocol records in the system, C4=50 and a prompt will appear to request additional system protocol information. When a protocol conversion tool is available, the M value can be increased by the number of protocols compatible after conversion, not exceeding N. The conversion effect data is synchronized to the standard database to optimize the matching logic of C4.

8. The digital twin management system for cross-regional technology transfer services according to claim 3, characterized in that, The modification scheme generation unit receives the trend prediction unit. After the data is collected, adjust the costs according to the following rules: When K is less than 20, the original K value remains unchanged; 20≤ When the value is less than 40, the K value is increased by 10% as a reserve for technology upgrades; When the value is ≥40, an alternative device search is triggered, and matching is given priority. Equipment <20; The adjustment results are synchronized to the compatibility assessment unit to optimize the assessment dimensions of the initial compatibility.

9. The digital twin management system for cross-regional technology transfer services according to claim 1, characterized in that, The threshold optimization mechanism for the standard database unit is as follows: When the actual mismatch rate of a certain parameter interface in the conflict data of the virtual verification unit is more than 50% higher than the evaluation result, the Ci judgment threshold of that parameter is automatically lowered from 80 to 70. After adjusting the characteristics of the recorded annotation area, it is stored in the historical case library to provide a basis for dynamic weight calibration of compatibility evaluation.

10. A digital twin management system for cross-regional technology transfer services according to claim 1, characterized in that, The decay rate of the trend prediction unit is calculated as follows: Based on the initial compatibility C, the technology iteration speed T, and the regional technology iteration coefficient R, R is set to 1.2 for the eastern region and 0.8 for the central and western regions. T is divided into three levels according to the iteration speed: 1 slow, 2 medium, and 3 fast. The calculation results are pushed to the transformation scheme generation unit in real time. The cost algorithm has a reverse influence on the compatibility assessment. When the attenuation rate is high, the system prioritizes to improve the initial compatibility to reduce long-term costs, thus promoting the continuous optimization of the first algorithm.

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