Liquid hydrogen cylinder tracing management method and system based on RFID tag

Abstract

The invention relates to the technical field of liquid hydrogen cylinder management, in particular to a liquid hydrogen cylinder tracing management method and system based on RFID tags. Comprising the following steps: firstly, acquiring historical RFID tag information of a liquid hydrogen cylinder; and then, through data clustering and training, an RFID tag information analysis model is established, and classification and anomaly detection technologies are adopted to label abnormal data and optimize the abnormal data. In the model training process, one-hot coding is adopted to label data, sample features are extracted, RFID tag information analysis vectors are generated, and convergence of the model is further achieved by optimizing a loss function. And finally, acquiring RFID information of the current liquid hydrogen cylinder, inputting the RFID information into the optimal analysis model, and generating an analysis result. In addition, according to the method, plan information is combined, a state curve is constructed and matched, and when the prediction result is greatly deviated from the actual value, the RFID tag information is adjusted through a self-adaptive updating mechanism, so that real-time and accurate management is realized.

Description

Technical Field

[0001] The present invention relates to the technical field of liquid hydrogen cylinder management, and in particular to a liquid hydrogen cylinder traceability management method and system based on RFID tags. Background Art

[0002] Liquid hydrogen cylinders are the core equipment for liquid hydrogen storage and transportation. Their safety, reliability and service life directly affect the storage and transportation process of liquid hydrogen. Therefore, the management of liquid hydrogen cylinders is crucial, especially in the traceability, maintenance, inspection and filling of cylinders. An effective and accurate management system is needed to ensure safety and compliance.

[0003] In the management of liquid hydrogen cylinders, a variety of methods are used. For example, based on the traditional liquid hydrogen cylinder management method, manual records and manual inspections are used. However, this method has problems such as inaccurate records, delayed information, and cumbersome operations. Especially during the use of the cylinders, it is impossible to track key information such as their usage status, maintenance records, and inspection cycles in real time.

[0004] With the gradual development of Internet of Things technology and automated management systems, especially RFID (radio frequency identification) technology, as a technology that can achieve remote, non-contact information reading and automatic identification, it has been widely used in many industries; by installing RFID tags on liquid hydrogen cylinders, the defects of traditional liquid hydrogen cylinder management methods can be well solved. According to RFID tags, real-time tracking, status monitoring, and information recording of liquid hydrogen cylinders can be realized, greatly improving the intelligent level of management.

[0005] Although RFID-based liquid hydrogen cylinder management has significant advantages, there are still some defects in practical applications. For example, the existing RFID-based liquid hydrogen cylinder management method lacks the ability to adapt to scene changes and cannot automatically adjust the management strategy according to different environmental conditions and supply chain status, which will lead to inaccurate data and low management efficiency.

[0006] To this end, the present invention proposes a liquid hydrogen cylinder traceability management method and system based on RFID tags. Summary of the invention

[0007] The purpose of the present invention is to provide a liquid hydrogen cylinder traceability management method and system based on RFID tags, which mainly realizes accurate traceability and management of the entire life cycle of liquid hydrogen cylinders by constructing and optimizing RFID tag information analysis models. The method and system collect and process the historical RFID tag information of liquid hydrogen cylinders, including environmental information (such as temperature, humidity, extrusion, vibration, etc.) and production and use information (such as cylinder capacity, liquid hydrogen volume, status information, location, maintenance and fault information, etc.), and annotate, remove duplicates, standardize and process outliers on these information, and finally obtain a standard historical annotated data set.

[0008] Furthermore, through cluster analysis and training of the optimal RFID tag information analysis model, the system can realize abnormal data detection based on supply chain nodes and accurately predict the status of liquid hydrogen cylinders. When the actual RFID tag information of the liquid hydrogen cylinder matches the status curve of the planned information, possible problems can be detected in time and adaptively updated. Through the optimized RFID tag information, the system can provide accurate management support to the staff, thereby improving the management efficiency and safety of liquid hydrogen cylinders in the supply chain. The present invention makes the traceability management of liquid hydrogen cylinders more intelligent through in-depth analysis and processing of various types of data in the life cycle of liquid hydrogen cylinders.

[0009] To achieve the above object, the present invention provides the following technical solutions: A liquid hydrogen cylinder traceability management method based on RFID tags, comprising: Acquire historical RFID tag information of multiple liquid hydrogen cylinders throughout their entire cycle; wherein the historical RFID tag information includes: historical first tag information and historical second tag information; The historical first label information includes: temperature, humidity, extrusion and vibration; the historical second label information includes: production information, gas cylinder capacity information, liquid hydrogen quantity information, status information, usage information, location information, usage time information, maintenance information and fault information.

[0010] Further, marking the problems and supply chain nodes in the historical RFID tag information to obtain marked RFID tag information; Further, the annotated RFID tag information is processed to construct a standard annotated data set; Among them, the process of processing the annotated RFID tag information includes: deduplicating the historical RFID tag information to obtain the first historical annotated data; performing format standardization processing on the first historical annotated data to obtain the second historical annotated data; performing data filling on the historical second annotated data to obtain the third historical annotated data; performing outlier processing on the third historical annotated data to obtain the fourth historical annotated data; performing data standardization processing on the fourth historical annotated data to obtain standard historical annotated data; integrating multiple pieces of the standard historical annotated data to obtain the standard annotated data set.

[0011] Furthermore, clustering the data in the standard annotated data set to obtain a plurality of standard annotated data subsets; Further, the RFID tag information analysis model is trained to obtain an optimal RFID tag information analysis model; The training process of the RFID tag information analysis model includes: Inputting sample data from a plurality of standard annotated data subsets through an input layer; Further, the sample data of the input layer is input into the classification layer to obtain a corresponding abnormal data detector; wherein the classification layer classifies the sample data according to the supply chain node; Furthermore, the sample data is detected by using the abnormal data detector, and abnormal data in the sample data is marked; the detection process of the abnormal data detector includes: According to the node type corresponding to the supply chain node, rationalized RFID tag information is constructed; Performing feature conversion on the rationalized RFID tag information and constructing a rationalized RFID tag feature data matrix; Performing tag data influence change analysis on the rationalized RFID tag feature data matrix to obtain an RFID tag data change influence matrix; Inputting the sample features and the RFID tag data change impact matrix into an anomaly detection function to obtain abnormal data; Labeling the sample data using one-hot encoding according to the abnormal data; Inputting the labeled sample data into the feature learning layer to obtain sample features; Further, the sample features are input into the information analysis layer to obtain the RFID tag information analysis vector; Further, the RFID tag information analysis vector is output through the output layer to obtain a problem prediction value and a supply chain node prediction value; Further, the loss between the problem prediction value and the labeled problem value of the sample data is calculated to obtain the problem prediction loss; Further, calculating the loss between the supply chain node prediction value and the labeled supply chain node value of the sample data to obtain the supply chain node prediction loss; Furthermore, the RFID tag information analysis model is optimized according to the problem prediction loss and the supply chain node prediction loss. When the problem prediction loss and the supply chain node prediction loss reach convergence, the training is completed and the optimal RFID tag information analysis model is obtained.

[0012] Further, the RFID tag information of the current liquid hydrogen cylinder is obtained, and after processing, is input into the optimal RFID tag information analysis model to obtain the RFID tag information analysis result; Further, the current plan information of the liquid hydrogen tank is obtained; Further, matching the RFID tag information analysis result with the status curve of the plan information; The process of constructing the state curve includes: Dividing the plan information according to the supply chain nodes to obtain multiple plan information subsets; Further, the planning information subset is input into a state curve generation function to obtain a state sub-curve; The formula for obtaining the state sub-curve is: ; in, Supply Chain Node The state sub-curve of is the time variable; Generate functions for state curves; Supply Chain Node A subset of the planning information; Supply Chain Node A collection of time information; Factors related to state changes; Furthermore, when the matching result does not match, the RFID tag information is adaptively updated, and the specific process includes: Calculate the deviation between the RFID tag information analysis result and each data point on the state curve, and establish a deviation vector; Further, statistical analysis is performed on the deviation degree vector, and influence evaluation is performed on the analysis result to obtain an influence weight vector; Further, obtaining the instantaneous change difference of the RFID tag information; Furthermore, the RFID tag information is automatically updated according to the deviation vector, the influence weight vector, the instantaneous change difference, and the RFID tag data change influence matrix.

[0013] Furthermore, the updated RFID tag information is sent to staff for management.

[0014] A liquid hydrogen cylinder traceability management system based on RFID tags, including: An information storage unit is used to store historical RFID tag information of the entire cycle of the liquid hydrogen cylinder; wherein the historical RFID tag information includes: historical first tag information and historical second tag information; the first tag information includes: temperature, humidity, extrusion and vibration; the second tag information includes: production information, cylinder capacity information, liquid hydrogen quantity information, status information, usage information, location information, maintenance information and fault information.

[0015] Problem recording unit, used to record problems related to liquid hydrogen cylinders at different supply chain nodes; An information collection unit, used to collect RFID tag information of liquid hydrogen cylinders; An RFID tag information analysis unit, used to analyze the acquired RFID tag information; The RFID tag information analysis unit uses an RFID tag information analysis model to perform analysis, including: The input layer receives sample data of the processed RFID tag information; Furthermore, the sample data is input into the classification layer to obtain a corresponding abnormal data detector; wherein the abnormal data detector includes: According to the node type corresponding to the supply chain node, rationalized RFID tag information is constructed; Performing feature conversion on the rationalized RFID tag information and constructing a rationalized RFID tag feature data matrix; Performing tag data influence change analysis on the rationalized RFID tag feature data matrix to obtain an RFID tag data change influence matrix; Inputting the sample features and the RFID tag data change impact matrix into an anomaly detection function to obtain abnormal data; The sample data is labeled using one-hot encoding according to the abnormal data.

[0016] Further, the sample data is detected using the abnormal data detector, and abnormal data in the sample data is marked; Further, the labeled sample data is input into a feature learning layer to obtain sample features; Further, the sample features are input into the information analysis layer to obtain the RFID tag information analysis vector; Furthermore, the RFID tag information analysis vector is output through an output layer to obtain a problem prediction value and a supply chain node prediction value.

[0017] An RFID tag information matching unit is used to match the RFID tag information and determine the status; Wherein, the RFID tag information matching unit includes: Get the current plan information of liquid hydrogen tanks; Furthermore, the RFID tag information analysis result is matched with the status curve of the plan information; wherein the construction process of the status curve includes: Dividing the plan information according to the supply chain nodes to obtain multiple plan information subsets; Inputting the plan information subset into a state curve generating function to obtain a state sub-curve; The formula for obtaining the state sub-curve is: ; in, Supply Chain Node The state sub-curve of is the time variable; Generate functions for state curves; Supply Chain Node A subset of the planning information; Supply Chain Node A collection of time information; Factors related to state changes; Optimizing and merging each of the state sub-curves to obtain the state curve; An RFID tag information adaptive updating unit, used for updating RFID tag information; A feedback unit, used to feed back RFID tag information to the staff; The management unit is used for staff to manage liquid hydrogen cylinders in a timely manner.

[0018] Compared with the prior art, the present invention has the following beneficial effects: 1. The present invention proposes an RFID tag information analysis model to analyze RFID tag information; the model can effectively identify abnormal data by processing and analyzing RFID tag information, and use rational feature conversion and tag data change impact analysis to build an accurate anomaly detection mechanism. By annotating and learning abnormal data and features of sample data, the accuracy of information analysis is further improved, thereby providing efficient support for supply chain node prediction and problem prediction. The model can provide comprehensive data support for the application of RFID tag information through in-depth analysis and processing, which helps to improve the intelligent level of liquid hydrogen cylinder traceability management.

[0019] 2. The present invention proposes a method for matching the current RFID tag information of liquid hydrogen cylinders with the planned information; the method obtains the current planned information of the liquid hydrogen cylinder and compares it with the analysis results of the RFID tag information to ensure a high degree of consistency between the tag information and the planned status. Specifically, the state curve construction process includes dividing the planned information of the supply chain nodes, generating multiple subsets of planned information, and combining the use of time information and related factors through the state curve generation function to obtain the corresponding state sub-curve. After optimization, all state sub-curves are merged into a complete state curve, which is used to accurately describe the changes of liquid hydrogen cylinders in the supply chain. This method effectively ensures the accuracy and flexibility of liquid hydrogen cylinder management through dynamic updates and real-time matching.

[0020] 3. The present invention proposes a method for adaptively updating RFID tag information; the method realizes automatic updating of RFID tag information through the following steps: first, the deviation between the RFID tag information analysis result and each data point on the state curve is calculated, and a deviation vector is established; then, the deviation vector is statistically analyzed, and the influence of each data point on the system is evaluated according to the analysis result, so as to obtain an influence weight vector; then, the instantaneous change difference of the RFID tag information is obtained to indicate the change amplitude of the tag information in a short time; finally, the RFID tag information is automatically updated by combining the deviation vector, the influence weight vector, the instantaneous change difference and the RFID tag data change influence matrix. The method can accurately update the RFID tag information in a dynamic environment, thereby improving the accuracy and real-time performance of the information, and then effectively supporting the traceability management of liquid hydrogen cylinders, and helping staff to manage liquid hydrogen cylinders more efficiently and safely. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 A flowchart of a liquid hydrogen cylinder traceability management method based on RFID tags provided in an embodiment of the present invention; Figure 2 A system structure diagram of a liquid hydrogen cylinder traceability management system based on RFID tags provided in an embodiment of the present invention; Figure 3 A schematic diagram of various losses during training of an RFID tag information analysis model provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0022] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0023] Liquid hydrogen cylinders are tanks for storing and transporting liquid hydrogen. In order to better manage liquid hydrogen cylinders, existing technologies use RFID tag information to record the status of the cylinders at various time points. RFID (radio frequency identification) technology, as a technology that can achieve remote, non-contact information reading and automatic identification, has been widely used in many industries; RFID tag technology can realize functions such as real-time tracking, status monitoring, and information recording of liquid hydrogen cylinders, greatly improving the intelligent level of management. However, in this process, RFID tag technology cannot achieve adaptive adjustment as the scene changes, resulting in errors in recording RFID tags; that is, when the current supply chain node changes, the RFID tag device cannot respond in time, resulting in the inability to synchronize recorded information, which is not conducive to the traceability management of liquid hydrogen cylinders. To this end, the present invention proposes a liquid hydrogen cylinder traceability management method and system based on RFID tags to overcome the defects in the current prior art. The specific process is illustrated by the following two embodiments.

[0024] Embodiment 1: In the embodiment of the present application, the traceability management of the liquid hydrogen cylinder is realized by Figure 1 and Figure 2 Implemented in Figure 1The method flow proposed in the present invention includes: S10. Acquire historical RFID tag information of multiple liquid hydrogen gas cylinders throughout the entire cycle; S20. Annotate problems and supply chain nodes in the historical RFID tag information to obtain annotated RFID tag information; S30. Process the annotated RFID tag information to construct a standard annotated data set; S40. Cluster the data in the standard annotated data set to obtain multiple standard annotated data subsets; S50. Train the RFID tag information analysis model to obtain the optimal RFID tag information analysis model; S60. Acquire the RFID tag information of the current liquid hydrogen gas cylinder, and after processing, input it into the optimal RFID tag information analysis model to obtain the RFID tag information analysis result; S70. Acquire the plan information of the current liquid hydrogen gas cylinder; S80. Match the RFID tag information analysis result with the state curve of the plan information; S90. When the matching result does not match, adaptively update the RFID tag information; S100. Send the updated RFID tag information to the staff for management. Figure 2 The system structure diagram of the present invention includes: information storage unit, problem recording unit, information collection unit, RFID tag information analysis unit, RFID tag information matching unit, RFID tag information adaptive update unit, feedback unit and management unit. According to the above content, the specific process is: Acquire historical RFID tag information of multiple past full cycles of liquid hydrogen gas cylinders from the information storage unit, corresponding to step S10; in the embodiment of the present application, the full cycle refers to the use cycle of the liquid hydrogen gas cylinder, including: production stage, use stage, transportation stage, recycling stage, maintenance stage and scrapping stage; wherein the historical RFID tag information includes: historical first tag information and historical second tag information; The historical first tag information is external environment information, which is obtained through sensors installed on liquid hydrogen cylinders, including: temperature, humidity, extrusion and vibration; the historical second tag information includes: production information (cylinder ID, production date, expected use time, maximum liquid hydrogen storage capacity and cylinder specifications), cylinder capacity information, liquid hydrogen volume information, status information (usable and unusable), usage information (usage status and liquid hydrogen usage), location information, usage time information, maintenance information and fault information.

[0025] In the embodiment of the present application, by obtaining the historical RFID tag information of multiple liquid hydrogen cylinders, the key data of the liquid hydrogen cylinders throughout their life cycle can be comprehensively recorded, thereby achieving real-time tracking and analysis of the cylinder status and usage, which helps to improve safety and optimize maintenance management.

[0026] Furthermore, according to the above-mentioned step S20, the historical tag RFID information in the information storage unit is annotated with problems and supply chain nodes; wherein the annotating of the historical tag RFID information is based on the record log of the problems encountered by the staff in the problem recording unit on the liquid hydrogen cylinders at each supply chain node, and the information is annotated in an automated manner.

[0027] Problems recorded in the problem recording unit include, for example, “Gas cylinder ID: BW7754; Date: 2024 / 12 / 01 13:30; Supply chain node: Transportation; Problem: Too high temperature”; “Gas cylinder ID: BW7263; Date: 2024 / 12 / 20 7:00; Supply chain node: Transportation; Problem: Error in the supply link”, etc. Further, according to the content of step S30, the annotated RFID tag information is processed to construct a standard annotated data set; wherein the processing process includes: deduplicating the historical RFID tag information to obtain the first historical annotated data; performing format standardization processing on the first historical annotated data to obtain the second historical annotated data; performing data filling on the historical second annotated data to obtain the third historical annotated data; performing outlier processing on the third historical annotated data to obtain the fourth historical annotated data; performing data standardization processing on the fourth historical annotated data to obtain the standard historical annotated data; integrating multiple standard historical annotated data to obtain the standard annotated data set.

[0028] In the embodiment of the present application, the processing of the labeled data is achieved through multiple data processing methods, which can ensure the high quality and consistency of the data, thereby providing a solid foundation for subsequent RFID tag information analysis.

[0029] Further, clustering the data in the standard annotated data set according to the content of step S40 to obtain a plurality of standard annotated data subsets; Among them, in the application embodiment, clustering is achieved by taking the problems marked in the data set and the supply chain node information as the target, and the specific process includes: Step 1: Select a suitable clustering algorithm based on data characteristics, DBSCAN (density-based clustering); Step 2: Select a distance metric or similarity metric and use the Manhattan distance algorithm to calculate the distance between each piece of data. Step 3: Select the number of clusters. By plotting the sum of squared errors (SSE) under different cluster numbers K, select the K value that minimizes the SSE reduction as the final number of clusters. Step 4: Input the standard labeled data set into the DBSCAN algorithm; Step 5: Evaluate the clustering effect by calculating the compactness within the cluster (such as the mean square error of the data within the cluster); Step 6: Output the results.

[0030] Further, according to the content of step S50, the RFID tag analysis model is trained using multiple standard annotated data subsets to obtain an optimal RFID tag analysis model; The training process of the RFID tag analysis model includes: Input sample data from multiple standard labeled data subsets through the input layer; Furthermore, the sample data of the input layer is input into the classification layer to obtain the corresponding abnormal data detector; wherein the classification layer classifies the sample data according to the supply chain nodes; the classification layer adopts the trained CNN neural network model, and the corresponding classification labels include: production stage, use stage, transportation stage, recycling stage, maintenance stage and scrapping stage; Furthermore, the sample data is detected by using an abnormal data detector, and abnormal data in the sample data is marked; the detection process of the abnormal data detector includes: Furthermore, rationalized RFID tag information is constructed according to the node type corresponding to the supply chain node; wherein, the rationalized RFID tag information is constructed according to the historical RFID tag data in the information storage unit, and the data comes from valid records without any problems, reflecting the most ideal RFID tag information under the corresponding supply chain node.

[0031] Further, the rationalized RFID tag information is feature-converted, and a rationalized RFID tag feature data matrix is ​​constructed; Further, the tag data influence change analysis is performed on the rationalized RFID tag feature data matrix to obtain the RFID tag data change influence matrix; Among them, the acquisition of the RFID tag data change impact matrix adopts an impact analysis model, which uses a nonlinear combination method for calculation. The specific formula is: ; in, Features With features The mutual influence value of Features The weight of influence; is the influence weight of the feature; and is the hyperparameter obtained by training; is an exponential function, reflecting the characteristics Nonlinear effects on impact values; is a logarithmic function, reflecting the characteristics The nonlinear effect of is a hyperbolic tangent function that can capture the characteristics With features The comprehensive nonlinear effect of Referring to Table 1, the impact analysis in the "transportation stage" is given in the embodiments of the present application; Table 1 Impact analysis matrix (transportation stage)

[0032] Furthermore, the sample feature vector and the RFID tag data change influence matrix are input into the anomaly detection function to obtain abnormal data; the formula of the anomaly detection function is: ;in, is a constant detection function; is the sample characteristics; The impact moment of RFID tag data change; is the distance function; For the feature vectors, and ; For the The influence value of the eigenvector, and ; is the number of feature items; Normal range thresholds generated for the training data; Among them, the distance function Defined as: ;in, For the The feature vectors are in dimension Upper features; is the dimension of the sample feature vector.

[0033] Further, the sample data is labeled using one-hot encoding according to the abnormal data; Further, the labeled sample data is input into a feature learning layer to obtain sample features; Furthermore, the sample features are input into the information analysis layer to obtain the RFID tag information analysis vector; Furthermore, the RFID tag information analysis vector is output through the output layer to obtain the problem prediction value and the supply chain node prediction value; Further, the loss between the problem prediction value and the labeled problem value of the sample data is calculated to obtain the problem prediction loss; Further, calculating the loss between the supply chain node prediction value and the labeled supply chain node value of the sample data to obtain the supply chain node prediction loss; Furthermore, the RFID tag information analysis model is optimized based on the problem prediction loss and the supply chain node prediction loss; see Figure 3 ,exist Figure 3 The loss changes of the RFID tag information analysis model during multiple rounds of training are given in Figure 2.

[0034] When the problem prediction loss and the supply chain node prediction loss reach convergence, the training is completed and the optimal RFID tag information analysis model is obtained.

[0035] Refer to Table 2, which shows the parameter settings of the optimal RFID tag information analysis model obtained after multiple rounds of training, including: the number of training rounds, learning rate, loss function and hyperparameter settings; Table 2 Parameter settings

[0036] Furthermore, according to the parameter content in Table 2, the FID tag information analysis model is used; and 80 pieces of historical RFID tag information are randomly selected from the information storage unit as a verification set for verification; refer to Table 3, which gives the verification performance of the optimal RFID tag information analysis model.

[0037] Table 3 Model validation performance description

[0038] In the embodiment of the present application, the training process of the RFID tag information analysis model is described. Through the training of the model, abnormal data at different nodes in the supply chain (such as production, transportation, use, etc.) can be identified, and effectively labeled and tracked. The training process includes inputting the RFID tag data into a multi-layer neural network, combining CNN (convolutional neural network) for sample classification and anomaly detection, and finally optimizing the model to achieve more accurate tag analysis and anomaly prediction. During the training process, the precision and accuracy of anomaly detection are further improved by analyzing the influence matrix of sample feature vectors and RFID tag data changes. Finally, through the optimization of the loss function, a model that can accurately identify abnormal data, predict problems and supply chain node status in practical applications is trained, which can track the production, transportation, use, maintenance and other aspects of gas cylinders in real time to ensure the safety and compliance of liquid hydrogen cylinders.

[0039] Furthermore, the RFID tag information of the current liquid hydrogen cylinder is collected by the information collection unit, and after processing, is input into the RFID tag analysis unit for analysis, corresponding to step S60; wherein the RFID tag analysis unit adopts an RFID tag information analysis model.

[0040] Further, according to the content of step S70, the current liquid hydrogen planning information is obtained; Further, the RFID tag information matching unit is used to match the analyzed RFID tag information analysis result, corresponding to step S80; the specific process includes: Divide the planning information according to the supply chain nodes to obtain multiple planning information subsets; Further, the planning information subset is input into the state curve generation function to obtain the state sub-curve; Among them, the formula for obtaining the state sub-curve is: ; in, Supply Chain Node The state sub-curve of is the time variable; Generate functions for state curves; Supply Chain Node A subset of the planning information; Supply Chain Node A collection of time information; Factors related to state changes; In the acquisition of the state sub-curve, the state curve generation function Defined as: ; in, is the initial state; is the attenuation constant; is the number of parameters; and Calculate parameters for state curves; Furthermore, each state sub-curve is optimized and merged to obtain a state curve, wherein the attenuation constant is dynamically adjusted according to fluctuations in the actual supply chain.

[0041] Further, when the matching result does not match, the RFID tag information is adaptively updated, corresponding to step S90; wherein, the RFID tag information adaptive updating unit is used for updating, and the specific process includes: Calculate the deviation between the RFID tag information analysis results and each data point on the state curve, and establish a deviation vector; Furthermore, the deviation vector is statistically analyzed, and the impact of the analysis result is evaluated to obtain the impact weight vector; wherein the deviation vector is statistically analyzed, including: mean, variance, extreme value and deviation trend; According to the above calculation of influence, the calculation formula is: ;in, For the The comprehensive impact weight of each data point; For the The influence weight of the mean of the data points; For the The influence weight of the variance of each data point; For the The influence weight of the extreme value of each data point; For the The impact weight of a data point deviating from the trend; and is the coefficient of each impact weight; Further, obtaining the instantaneous change difference of the RFID tag information; Furthermore, the RFID tag information is automatically updated according to the deviation vector, the influence weight vector, the instantaneous change difference, and the RFID tag data change influence matrix; wherein, the automatic update formula is used to update each information, and the formula is: ;in, For the RFID tag information update value of each data point; For the The original RFID tag information value of each data point; For the The instantaneous change difference of data points; is the compensation function.

[0042] In the present application example, the deviation between the RFID tag information and the state curve data point is calculated to establish a deviation vector, and the influence weight vector of each data point is obtained by further statistically analyzing the deviation vector (including mean, variance, extreme value and deviation trend). Through comprehensive analysis of each weight, the comprehensive influence weight of each data point is evaluated, and the RFID tag information is automatically updated according to the deviation, influence weight, instantaneous change difference and RFID tag data change influence matrix. This automated update process ensures the accuracy and timeliness of RFID tag information and greatly improves data processing efficiency and reliability. For the traceability management of liquid hydrogen cylinders, this method based on RFID tag information analysis and update has significant benefits. It can monitor the state changes of liquid hydrogen cylinders in real time, and through precise data analysis, it can promptly discover abnormal conditions in the use of cylinders, such as temperature, pressure, etc. that deviate from the normal range, thereby realizing full tracking and early warning of cylinders.

[0043] Furthermore, the feedback unit provides feedback to the staff, and the staff manages using the management unit, corresponding to step S100.

[0044] In the embodiments of this application, according to Figure 1 and Figure 2The content realizes the adaptive update and traceability management of the RFID tag information of liquid hydrogen cylinders at each supply chain node; mainly includes: mainly includes: through the comprehensive collection and labeling of the historical RFID tag information of liquid hydrogen cylinders, a standardized data set is constructed, and data processing and optimization are performed through cluster analysis and anomaly detection models. Subsequently, based on the training of the optimal RFID tag information analysis model, combined with the real-time status information of the liquid hydrogen cylinder, it can accurately predict potential problems and the status of the supply chain nodes, and realize the adaptive update of RFID tags by matching with the planned information. This process ensures that the status information of the liquid hydrogen cylinder is always under precise control and real-time tracking throughout the supply chain process, effectively improving the accuracy and reliability of the data, while reducing the risks caused by abnormal data and optimizing supply chain management.

[0045] Embodiment 2: In the first embodiment, the RFID tag is used to realize the traceability management of the current liquid hydrogen cylinder; in order to further illustrate the universality of the present application, it is explained again in the embodiment of the present application, and the specific process includes: Obtain historical RFID tag information of multiple liquid hydrogen cylinders throughout their entire life cycle; Further, the problems and supply chain nodes in the historical RFID tag information are annotated to obtain the annotated RFID tag information; Further, the annotated RFID tag information is processed to construct a standard annotated data set; Further, clustering the data in the standard annotated data set to obtain multiple standard annotated data subsets; Further, the RFID tag information analysis model is trained to obtain an optimal RFID tag information analysis model; Further, the RFID tag information of the current liquid hydrogen cylinder is obtained, and after processing, is input into the optimal RFID tag information analysis model to obtain the RFID tag information analysis result; Further, matching the RFID tag information analysis result with the status curve of the plan information; The process of constructing the state curve includes: Dividing the plan information according to the supply chain nodes to obtain multiple plan information subsets; Further, the planning information subset is input into a state curve generation function to obtain a state sub-curve; The formula for obtaining the state sub-curve is: ; in, Supply Chain Node The state sub-curve of is the time variable; Generate functions for state curves; Supply Chain Node A subset of planning information; Supply Chain Node A collection of time information; Factors related to state changes; Furthermore, the updated RFID tag information is sent to staff for management.

[0046] Further, when the matching result does not match, the RFID tag information is adaptively updated; Furthermore, the updated RFID tag information is sent to the staff for management.

[0047] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A liquid hydrogen cylinder traceability management method based on RFID tags, characterized in that: include: Obtain historical RFID tag information of multiple liquid hydrogen cylinders throughout their entire life cycle; Annotating problems and supply chain nodes in the historical RFID tag information to obtain annotated RFID tag information; Processing the annotated RFID tag information to construct a standard annotated data set; Clustering the data in the standard annotated data set to obtain multiple standard annotated data subsets; The RFID tag information analysis model is trained to obtain the optimal RFID tag information analysis model; Obtaining the RFID tag information of the current liquid hydrogen cylinder, and after processing, inputting it into the optimal RFID tag information analysis model to obtain the RFID tag information analysis result; Get the current plan information of liquid hydrogen tanks; Matching the RFID tag information analysis result with the status curve of the plan information; The process of constructing the state curve includes: Dividing the plan information according to the supply chain nodes to obtain multiple plan information subsets; Inputting the plan information subset into a state curve generating function to obtain a state sub-curve; The formula for obtaining the state sub-curve is: ； in, Supply Chain Node The state sub-curve of is the time variable; Generate functions for state curves; Supply Chain Node A subset of the planning information; Supply Chain Node A collection of time information; Factors related to state changes; Optimizing and merging each of the state sub-curves to obtain the state curve; When the matching result does not match, the RFID tag information is adaptively updated; The updated RFID tag information is sent to the staff for management.

2. The RFID tag-based liquid hydrogen cylinder traceability management method according to claim 1 is characterized in that: in, The historical RFID tag information includes: historical first tag information and historical second tag information; The historical first label information includes: temperature, humidity, extrusion and vibration; the historical second label information includes: production information, gas cylinder capacity information, liquid hydrogen quantity information, status information, usage information, location information, usage time information, maintenance information and fault information.

3. The RFID tag-based liquid hydrogen cylinder traceability management method according to claim 1 is characterized in that: The process of processing the annotated RFID tag information includes: deduplicating the historical RFID tag information to obtain first historical annotated data; performing format standardization processing on the first historical annotated data to obtain second historical annotated data; performing data filling on the historical second annotated data to obtain third historical annotated data; performing outlier processing on the third historical annotated data to obtain fourth historical annotated data; performing data standardization processing on the fourth historical annotated data to obtain standard historical annotated data; integrating multiple pieces of the standard historical annotated data to obtain the standard annotated data set.

4. The RFID tag-based liquid hydrogen cylinder traceability management method according to claim 1 is characterized in that: The training process of the RFID tag information analysis model includes: Inputting sample data from a plurality of standard annotated data subsets through an input layer; Inputting the sample data of the input layer into the classification layer to obtain a corresponding abnormal data detector; wherein the classification layer classifies the sample data according to the supply chain node; The sample data is detected by using the abnormal data detector, and abnormal data in the sample data is marked; the detection process of the abnormal data detector includes: According to the node type corresponding to the supply chain node, rationalized RFID tag information is constructed; Performing feature conversion on the rationalized RFID tag information and constructing a rationalized RFID tag feature data matrix; Performing tag data influence change analysis on the rationalized RFID tag feature data matrix to obtain an RFID tag data change influence matrix; Inputting the sample features and the RFID tag data change impact matrix into an anomaly detection function to obtain abnormal data; Labeling the sample data using one-hot encoding according to the abnormal data; Inputting the labeled sample data into the feature learning layer to obtain sample features; Input the sample features into the information analysis layer to obtain the RFID tag information analysis vector; Output the RFID tag information analysis vector through the output layer to obtain the problem prediction value and the supply chain node prediction value; Calculate the loss between the problem prediction value and the labeled problem value of the sample data to obtain the problem prediction loss; Calculate the loss of the supply chain node prediction value and the labeled supply chain node value of the sample data to obtain the supply chain node prediction loss; The RFID tag information analysis model is optimized according to the problem prediction loss and the supply chain node prediction loss. When the problem prediction loss and the supply chain node prediction loss converge, the training is completed and the optimal RFID tag information analysis model is obtained.

5. The RFID tag-based liquid hydrogen cylinder traceability management method according to claim 1 is characterized in that: The adaptive updating of the RFID tag includes: calculating the deviation between the RFID tag information analysis result and each data point on the state curve, and establishing a deviation vector; performing statistical analysis on the deviation vector, and performing influence evaluation on the analysis result to obtain an influence weight vector; obtaining the instantaneous change difference of the RFID tag information; and automatically updating the RFID tag information according to the deviation vector, the influence weight vector, the instantaneous change difference, and the RFID tag data change influence matrix.

6. A liquid hydrogen cylinder traceability management system based on RFID tags, characterized in that: The system includes: an information storage unit, which is used to store the historical RFID tag information of the entire cycle of the liquid hydrogen cylinder; a problem recording unit, which is used to record the problems related to the liquid hydrogen cylinder at different supply chain nodes; an information collection unit, which is used to collect the RFID tag information of the liquid hydrogen cylinder; an RFID tag information analysis unit, which is used to analyze the acquired RFID tag information; an RFID tag information matching unit, which is used to match the RFID tag information for fit and judge the status; an RFID tag information adaptive updating unit, which is used to update the RFID tag information; a feedback unit, which is used to feed back the RFID tag information to the staff; and a management unit, which is used for the staff to manage the liquid hydrogen cylinder in a timely manner.

7. The RFID tag-based liquid hydrogen cylinder traceability management system according to claim 6 is characterized in that: The historical RFID tag information includes: historical first tag information and historical second tag information; the first tag information includes: temperature, humidity, extrusion and vibration; the second tag information includes: production information, gas cylinder capacity information, liquid hydrogen quantity information, status information, usage information, location information, maintenance information and fault information.

8. The RFID tag-based liquid hydrogen cylinder traceability management system according to claim 6 is characterized in that: The RFID tag information analysis unit uses an RFID tag information analysis model to perform analysis, including: The input layer receives sample data of the processed RFID tag information; Input the sample data into the classification layer to obtain the corresponding abnormal data detector; Detecting the sample data using the abnormal data detector, and marking abnormal data in the sample data; Inputting the labeled sample data into the feature learning layer to obtain sample features; Input the sample features into the information analysis layer to obtain the RFID tag information analysis vector; The RFID tag information analysis vector is output through the output layer to obtain the problem prediction value and the supply chain node prediction value.

9. The RFID tag-based liquid hydrogen cylinder traceability management system according to claim 8, characterized in that: The abnormal data detector comprises: According to the node type corresponding to the supply chain node, rationalized RFID tag information is constructed; Performing feature conversion on the rationalized RFID tag information and constructing a rationalized RFID tag feature data matrix; Performing tag data influence change analysis on the rationalized RFID tag feature data matrix to obtain an RFID tag data change influence matrix; Inputting the sample features and the RFID tag data change impact matrix into an anomaly detection function to obtain abnormal data; The sample data is labeled using one-hot encoding according to the abnormal data.

10. The RFID tag-based liquid hydrogen cylinder traceability management system according to claim 6, characterized in that: The RFID tag information matching unit includes: Get the current plan information of liquid hydrogen tanks; Matching the RFID tag information analysis result with the status curve of the plan information; wherein the construction process of the status curve includes: Dividing the plan information according to the supply chain nodes to obtain multiple plan information subsets; Inputting the plan information subset into a state curve generating function to obtain a state sub-curve; The formula for obtaining the state sub-curve is: ； in, Supply Chain Node The state sub-curve of is the time variable; Generate functions for state curves; Supply Chain Node A subset of the planning information; Supply Chain Node A collection of time information; Factors related to state changes; Each of the state sub-curves is optimized and combined to obtain the state curve.

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