A highway engineering experimental equipment informationization method and system

Abstract

The present invention provides a highway engineering experimental equipment informatization method and system, belonging to the field of equipment informatization technology, comprising: determining a highway engineering experimental project and constructing multiple data units; constructing a first associated data chain in each data unit according to the equipment execution process required in the highway engineering experimental project process; sequentially searching all device IDs, determining the same data nodes in the first associated data chain of two data units with the same device ID, and constructing multiple second associated data chains; conducting experiments on each highway engineering experimental project and fitting influencing factors; determining indirect influencing factors between devices based on the multiple first associated data chains and the second associated data chains, as well as each influencing factor; and performing informatization management of the equipment at each data node through the associated data chains, the influencing factors, and the indirect influencing factors. This method solves the problems of dispersed equipment information, unclear relationships between devices, and low management efficiency in highway engineering experimental projects.

Description

Technical Field

[0001] The present invention relates to the technical field of equipment information systems, and in particular to an information method and system for highway engineering experimental equipment. Background Art

[0002] Throughout the widespread implementation of highway projects, experimental projects, as a core component, play a crucial role. They are not only an indispensable source of fundamental data during the engineering design phase, but also provide engineers with valuable opportunities for field testing and verification, enabling design solutions to be tested and optimized in real-world environments. Furthermore, experimental projects are a crucial line of defense for ensuring the quality and safety of the entire project. By simulating actual construction conditions and operational environments, they can promptly identify and address potential design flaws and safety hazards, providing a strong guarantee for the long-term, stable operation of highways.

[0003] However, faced with the increasingly complex and large-scale highway engineering experimental projects, traditional equipment management methods are gradually revealing their limitations. Information is scattered across isolated systems, lacking unified integration and management, making it difficult to quickly access and share critical data. Equipment information updates are often delayed, failing to reflect the latest status and performance changes in real time. Coupled with inefficient management, equipment maintenance and scheduling often become passive, increasing operating costs and severely impacting the progress and accuracy of experimental projects. Summary of the Invention

[0004] To solve the above problems, the present invention provides an information method and system for highway engineering experimental equipment. The method uses data link association to directly or indirectly associate various experimental equipment, and constructs a transfer function model through a system identification method to determine the influencing factors and indirect influencing factors. It can accurately describe the mutual influence between equipment and provide strong data support for the reasonable scheduling, maintenance and optimization of experimental projects of equipment.

[0005] To achieve the above objectives, the present invention provides the following technical solutions.

[0006] A highway engineering experimental equipment informatization method includes the following steps:

[0007] Determine each highway engineering experimental project and construct multiple data units;

[0008] According to the equipment execution process required in the highway engineering experimental project process, a first associated data chain is constructed in each data unit; wherein each data node in the first associated data chain stores the device ID and the current health status information of the device;

[0009] Searching all device IDs in sequence, determining the same data nodes in the first associated data chain of two data units with the same device ID, and constructing multiple second associated data chains;

[0010] Conduct experiments on each highway engineering experimental project, use system identification methods to build and fit a transfer function model used to characterize the dynamic relationship between two devices, determine the influence function in the transfer function model as the influence factor of the upstream device on the downstream device, and store it in the data node;

[0011] Determine, based on the plurality of first associated data links and second associated data links, and each impact factor, an indirect impact factor between devices corresponding to each data node between two first associated data links that exist in the second associated data link, and store the indirect impact factor in the data node; the indirect impact factor is the product of the impact factors of the two devices and the device corresponding to the data node of the second associated data link;

[0012] Monitor the health status of each device and set the management threshold of each device according to the health status of each device; when the health status of the equipment changes during the implementation of the highway engineering experimental project, monitor other devices whose influencing factors and indirect influencing factors related to the equipment exceed the management threshold, update the current health status information of the equipment and other equipment, and re-update the management threshold of each device based on the health status information.

[0013] Preferably, the determining of each highway engineering experimental project and constructing multiple data units includes the following steps:

[0014] According to the actual needs of highway projects, clarify the experimental projects that need to be implemented;

[0015] Construct multiple data units, take each experimental project as the core content of a data unit, define the data unit, and assign a unique identifier to each data unit; the defined data unit includes determining the equipment information, experimental steps, environmental parameters, input and output data of the data unit required for each experiment.

[0016] Preferably, the process of executing the equipment required in the highway engineering experimental project process and constructing the first associated data chain in each data unit includes the following steps:

[0017] For each highway engineering experiment project, list the required experimental equipment and record its equipment ID;

[0018] Define device status information, including current status information and additional parameters related to device operation;

[0019] Define the use sequence and dependencies of equipment according to the process of each experimental project, ensure that the equipment completes the task in the prescribed order, and clarify the data flow relationship between equipment;

[0020] In each experimental project, multiple data nodes are constructed, each of which stores device ID, device status information, and timestamp;

[0021] According to the experimental project process, the relevant data nodes are connected in sequence according to the device order to form a first associated data chain. The first associated data chain records the complete execution process from device 1 to device N, reflecting the operation path of the device.

[0022] The plurality of first associated data links are respectively stored in the corresponding plurality of data units, and form a unique data link number; wherein, during the execution of the experimental project, each time the device status changes, the status information in the corresponding data node is updated in real time.

[0023] Preferably, the constructing of multiple second associated data chains comprises the following steps:

[0024] Traverse the data units of all highway engineering experimental projects, extract all equipment IDs therein, and generate a list of equipment IDs;

[0025] According to the list of device IDs, searching the first associated data chain of the data unit to find two data units using the same device ID;

[0026] For the same device ID, locate the data node corresponding to the device in each first associated data chain, create an index table from device ID to data node, and group all data nodes with the same device ID;

[0027] In the first association data chain, it is identified whether two data nodes with the same device ID share the same state information or timestamp; if the conditions match, the two data units are associated through the data node corresponding to the device;

[0028] Connecting the associated data nodes in time or state order to form a second associated data chain; wherein each second associated data chain stores an associated device ID and a data node relationship; the data node relationship records the state information, timestamp, and data unit of the two or more associated data nodes;

[0029] Create an association table that records all device IDs, data units, data link numbers, and node information.

[0030] During the execution of the experimental project, the changes in the device status are monitored in real time, the node information in the first associated data chain is dynamically updated, and the second associated data chain is updated according to the latest status and association relationship table of the first associated data chain.

[0031] Preferably, the test is conducted on each highway engineering experimental project, and a system identification method is used to construct and fit a transfer function model for characterizing the dynamic relationship between two devices, including the following steps:

[0032] Determine experimental data information according to the highway engineering experimental project, including the required equipment ID, the input signal of each equipment operation, the output result of each equipment operation and the experimental conditions, and the data node information in the first associated data chain;

[0033] Based on the experimental data information, as well as the collected input signals of each device, the output results of each device, and the total output results of the experimental project, the least squares method is used to fit the transfer function model used to describe the dynamic relationship between any two devices;

[0034] The transfer function is in the form:

[0035]

[0036] Where b i 、a i is the fitting system parameter; s is the Laplace transform variable; G(s) is the transfer function, G(s) represents the relationship between the input U(s) of the preceding device and the output Y(s) of the subsequent device;

[0037] The transfer function gain K is extracted. When the gain K is greater than 1, all absolute values ​​of the gain K are processed and multiplied by a unified scaling factor to form an influence factor F less than 1.

[0038] Preferably, the determining of the indirect influence factor between devices corresponding to each data node between two first associated data links where the second associated data link exists comprises the following steps:

[0039] The indirect influence factor between two devices through the intermediate device is obtained by the comprehensive calculation of two or more transfer functions:

[0040] F 间接 =F A→C ·F C→B

[0041] Among them, F A→C is the direct impact factor of device A on device C; F C→B is the direct impact factor of device C on device B; F 间接 is the indirect impact factor of device A on device B.

[0042] The present invention also provides a highway engineering experimental equipment information system, the system comprising:

[0043] processor;

[0044] a memory having stored thereon a computer program executable on the processor;

[0045] Wherein, when the computer program is executed by the processor, the steps of the highway engineering experimental equipment informatization method are implemented.

[0046] The present invention also provides a computer-readable storage medium, on which a data processing program is stored. When the data processing program is executed by a processor, the steps of the highway engineering experimental equipment informatization method are implemented.

[0047] Beneficial effects of the present invention:

[0048] The present invention proposes a method and system for informatization of highway engineering experimental equipment. This method directly or indirectly associates each experimental project equipment through the construction of a first associated data chain and a second associated data chain, effectively constructing a relationship network for highway engineering experimental projects, and can quickly index the associated equipment of the current state-changing equipment, and timely update the current state of the associated equipment, thereby greatly improving the efficiency of updating equipment information and ensuring the real-time and effectiveness of equipment status data. This method extracts direct and indirect influencing factors based on a transfer function model, making the dynamic relationship between equipment quantifiable, providing a basis for comprehensive and dynamic supervision of experimental equipment information, and combining subsequent equipment adjustments and maintenance to ensure the progress and accuracy of experimental projects. At the same time, the unified storage and management of data nodes proposed by this method greatly improves the real-time monitoring and update efficiency of equipment status, reduces the phenomenon of information islands, thereby achieving a dual improvement in management efficiency and equipment information concentration, and providing strong support for the efficient operation of the project. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] Figure 1 is a specific flow chart of an embodiment of the present invention;

[0050] Figure 2 2 is an architectural diagram of the first associated data chain and the second associated data chain according to an embodiment of the present invention. DETAILED DESCRIPTION

[0051] In order to make the purpose, technical solutions and advantages of the present invention more clearly understood, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0052] Example 1

[0053] Faced with increasingly complex and large-scale highway engineering experimental projects, traditional equipment management methods have gradually revealed their limitations. Information is scattered in various isolated systems and lacks unified integration and management, making it difficult to quickly obtain and share key data; information updates often lag behind actual needs and cannot reflect the latest status and performance changes of the equipment in real time; coupled with low management efficiency, equipment maintenance and scheduling are often passive, which not only increases operating costs, but also seriously affects the progress and accuracy of experimental projects. These problems are intertwined and together constitute a bottleneck that restricts the accuracy and efficiency of highway engineering experimental projects, and they urgently need to be solved through innovative management methods. To this end, this embodiment proposes a method for informatization of highway engineering experimental equipment, such as Figure 1 As shown, Figure 1 This is a flow chart of the informationization method for highway engineering experimental equipment, which specifically includes the following steps:

[0054] S1: Determine each highway engineering experimental project and construct multiple data units.

[0055] S2: Construct a first associated data chain in each data unit according to the equipment execution process required in the highway engineering experimental project process.

[0056] S3: Search all device IDs in sequence, determine the same data nodes in the first associated data chain of two data units with the same device ID, and construct multiple second associated data chains.

[0057] S4: Conduct experiments on each highway engineering experimental project, use the system identification method to build and fit the transfer function model used to characterize the dynamic relationship between two devices, determine the influence function in the transfer function model as the influence factor of the upstream device on the downstream device, and store it in the data node.

[0058] S5: Based on the plurality of first associated data links and the second associated data links, and each impact factor, determine an indirect impact factor between devices corresponding to each data node between two first associated data links that exist in the second associated data link, and store the indirect impact factor in the data node; the indirect impact factor is the product of the impact factors of the two devices and the device corresponding to the data node of the second associated data link.

[0059] S6: Perform information management on the equipment of each data node through the first associated data chain, the second associated data chain, and each influencing factor and the indirect influencing factor.

[0060] Specifically: monitor the health status of each device and set the management threshold of each device according to the health status of each device; when the health status of the equipment changes during the implementation of the highway engineering experimental project, monitor other devices whose influencing factors and indirect influencing factors related to the equipment exceed the management threshold, update the current health status information of the equipment and other equipment, and re-update the management threshold of each device based on the health status information.

[0061] The construction of the data unit of S1 specifically includes the following steps:

[0062] S1.1: Based on the actual needs of the highway project, clearly define the experimental items that need to be performed, including compaction test, deflection test, anti-skid performance test, base strength test, etc.

[0063] S1.2: Construct multiple data units, taking each experimental project as the core content of a data unit, and define the data unit, including determining the equipment information, experimental steps, environmental parameters, input and output data of the data unit required for each experiment.

[0064] S1.3: Assign a unique experiment ID identifier to each data unit.

[0065] The construction of the first associated data chain in S2 specifically includes the following steps:

[0066] S2.1: For each highway engineering experiment, list the required experimental equipment and record its equipment code, i.e., equipment ID. The equipment ID can be a barcode or coded information that uniquely identifies the equipment and is used to track the equipment's participation in the process.

[0067] S2.2: Define device status information, including current status information ("Preparing", "Executing", "Idle", "Faulty"), and additional parameters related to device operation, such as operating time, calibration status, device image, current physical parameters of the device, and operating parameters.

[0068] S2.3: Define the sequence and dependencies of equipment usage based on the process of each experimental project to ensure that the equipment completes the task in the prescribed order and clarify the data flow relationship between equipment, such as the result generated by one equipment as the input of the next equipment.

[0069] S2.4: In each experimental project, build multiple data nodes, each of which stores the device ID, device status information, and timestamp.

[0070] Device ID: uniquely identifies the device.

[0071] Device status information: The current status of the device, such as whether it is working, faulty, or idle.

[0072] Timestamp: records the time of the device's current status, used for timing analysis of the data link.

[0073] S2.5: According to the experimental project process, connect the relevant data nodes in the order of the devices to form a first associated data chain. The data chain records the complete execution process from device 1 to device N, reflecting the operation path of the devices.

[0074] S2.6: Storing the plurality of first associated data links in corresponding plurality of data units and generating unique data link numbers. During the execution of the experimental project, each time the device status changes, the status information in the corresponding data node is updated in real time.

[0075] For example, when a device switches from "preparing" to "executing", this information should be synchronized to the data chain immediately.

[0076] In addition, an integrity check of the first associated data chain is included:

[0077] Regularly check that each node in the data chain fully records the device status to ensure the continuity and accuracy of the chain. If a failure occurs (such as a device not executing a task on time or an abnormal status), the faulty node is marked in the data chain and the relevant alarm or processing mechanism is triggered.

[0078] This example provides a data unit construction method for a compaction experiment of a highway base material:

[0079] Experimental project breakdown:

[0080] The compaction test is divided into three stages: sample preparation, compaction testing, and result analysis. Each stage defines a data unit.

[0081] Equipment list: Sample preparation: soil sample drying equipment (equipment ID: E001); Compaction detection: compaction tester (equipment ID: E002); Data processing: data analyzer (equipment ID: E003).

[0082] Equipment execution process: Step 1, drying equipment (E001); Step 2, compaction tester (E002); Step 3, data analyzer (E003).

[0083] Build a data chain: Node 1: E001 (status: executing, time: T1); Node 2: E002 (status: idle, waiting for E001 to complete, time: T2); Node 3: E003 (status: idle, waiting for E002 to complete, time: T3).

[0084] Dynamic Updates:

[0085] When E001 completes the task, the status of node 1 is updated to "Completed", and the status of node 2 is triggered to be updated to "Executing". This process is repeated and the complete first associated data chain is formed.

[0086] The construction of the second associated data chain in S3 specifically includes the following steps:

[0087] S3.1: Traverse the data units of all highway engineering experimental projects, extract all equipment IDs therein, and generate a list of equipment IDs.

[0088] S3.2: Retrieve the first associated data chain of the data unit to find two or more data units using the same device ID;

[0089] For the same device ID, locate the data node corresponding to the device in each first associated data chain.

[0090] S3.3: Create an index table from device ID to data node, and group all data nodes with the same device ID.

[0091] S3.4: In the first associated data chain, identify whether nodes with the same device ID share the same state information or timestamp; if the conditions match, the two or more data units are associated through the device node.

[0092] S3.5: For each device ID group, record the corresponding node relationship in each first associated data chain. Create an association table for each group of nodes with the same device ID, recording the device ID, data unit, data chain number, and node information (status, time, etc.).

[0093] S3.6: Group nodes with the same device ID and connect them in chronological or state order to form a second associated data chain. Each second associated data chain stores the associated device ID and data node relationship. The data node relationship records the state information, timestamp, and data unit of the two or more associated data nodes.

[0094] For example, if a node with device ID E001 appears in both data unit A and data unit B, its associated data chain includes:

[0095] Node 1 (data unit A, state: executing, time: T1).

[0096] Node 2 (data unit B, status: executing, time: T1).

[0097] Furthermore, during the execution of the experimental project, the changes in the device status are monitored in real time, the node information in the first associated data chain is dynamically updated, and the second associated data chain is updated according to the latest status of the first associated data chain.

[0098] In addition, the management and analysis of the second linked data chain includes the following:

[0099] (1) Processing new associations:

[0100] When a device ID appears in a new data unit, it is immediately analyzed to see if it matches the existing second associated data chain. If so, the new node is added to the corresponding associated data chain.

[0101] (2) Processing node separation:

[0102] If the device status is abnormal and it cannot continue to associate, the association between the node and the subsequent nodes is terminated and the separation time is recorded.

[0103] (3) Analyze equipment utilization efficiency:

[0104] Based on the second associated data chain, analyze the device's reuse, efficiency, and load in different experimental projects. Count the frequency and time of the device switching between multiple data units.

[0105] (4) Optimize equipment allocation:

[0106] By associating data chains, the allocation of equipment in experimental projects can be adjusted to reduce unnecessary equipment switching and improve overall efficiency.

[0107] Assume that the device ID is E001 and is used in two experimental projects:

[0108] Experimental Project A:

[0109] The first associated data link of data unit A:

[0110] Node 1: E001 (status: executing, time: T1).

[0111] Node 2: E002 (state: waiting, time: T2).

[0112] Experimental Project B:

[0113] The first associated data link of data unit B:

[0114] Node 1: E001 (status: executing, time: T1).

[0115] Node 2: E003 (status: preparing, time: T3).

[0116] Construct the second associated data chain:

[0117] According to the node information of E001, the second associated data chain is constructed:

[0118] Node 1: E001 (data unit A, status: executing, time: T1).

[0119] Node 2: E001 (data unit B, status: executing, time: T1).

[0120] The schematic diagram of the construction of the first associated data chain and the second associated data chain is as follows: Figure 2 shown.

[0121] The construction of the transmission function model of S4 includes the following steps:

[0122] S4.1: Determine experimental data information according to the highway engineering experimental project, including the required equipment ID, the operating input signal of each equipment, the operating output result of each equipment and the experimental conditions, and the data node information in the first associated data chain.

[0123] S4.2: Based on the experimental data information, as well as the collected operating input signals of each device, the operating output results of each device, and the total output results of the experimental project, use the least squares method to fit the transfer function model used to describe the dynamic relationship between any two devices.

[0124] The transfer function is in the form:

[0125]

[0126] Where b i 、a i is the fitting system parameter; s is the Laplace transform variable; G(s) is the transfer function, G(s) represents the relationship between the input U(s) of the preceding device and the output Y(s) of the subsequent device.

[0127] S4.3: Extract the transfer function gain K, and multiply the absolute values ​​of all influencing factors by a unified scaling factor to form an influencing factor less than 1.

[0128] In S5, the acquisition of indirect impact factors includes the following steps:

[0129] The indirect influence factor between two devices through the intermediate device is obtained by the comprehensive calculation of two or more transfer functions:

[0130] F 间接 =F A→C ·F C→B

[0131] Among them, F A→C is the direct impact factor of device A on device C; F C→B is the direct impact factor of device C on device B; F 间接 is the indirect impact factor of device A on device B.

[0132] In this embodiment, a specific process of obtaining the impact factor between two devices is given:

[0133] Records device input (e.g., operating parameters, load signals) and output (e.g., response time, operating status) data. The first link of associated data is the relationship between the device's direct upstream and downstream devices. The second link of associated data is the indirect relationship formed through other devices.

[0134] Fit the transfer function model using the experimental data of device A and device C:

[0135]

[0136] Then, the gain F A→C It is 0.8 (no scaling required) and the time constant is 2, reflecting the system response speed and stability.

[0137] In another first associated data chain, obtain the gain F C→B is 0.6;

[0138] For the indirect relationship between device A and device B, the transfer function of device C is calculated as:

[0139] F 间接 =F A→C ·F C→B =0.48

[0140] Record direct and indirect influencing factors in the data nodes for subsequent analysis.

[0141] For example, the system monitors the status of each device and sets preset management thresholds for each device based on its current health status (age, fault status, etc.). When a device's status changes during the implementation of a highway engineering pilot project, the system monitors other devices whose influencing factors and indirect influencing factors exceed preset thresholds, updates the health status information in the data nodes corresponding to that device and other devices, and re-updates the management thresholds for each device based on this health status information.

[0142] Through the above steps, the equipment information management system of the highway engineering experimental project has been significantly optimized, and its effect is reflected in the dual improvement of management efficiency and equipment information concentration. Specifically, first, by constructing multiple data units and the first associated data chain, the system distributes and collects and manages various types of equipment information involved in the highway engineering experimental project. The setting of the data node in the first associated data chain clearly records the equipment ID and the current status information of the equipment, making the status management of the equipment more intuitive and real-time. Relying on such a design, important information such as the equipment's usage status, performance parameters, operating environment, etc. can be systematically stored and quickly retrieved in the chain structure, thereby eliminating the problems of information dispersion and isolation that may exist in previous equipment management.

[0143] Furthermore, by searching and matching all device IDs, a second linked data chain was constructed, strengthening the management of inter-device relationships. Building on the first linked data chain, the second linked data chain dynamically links related device information across units, enabling a comprehensive depiction of device interactions across different experimental units, even in complex experimental project scenarios. This chain-based linkage model not only resolves device isolation but also lays the foundation for global optimization and allocation of device resources.

[0144] Furthermore, a system identification method was introduced into the experimental process to construct and fit a transfer function model, scientifically quantifying the dynamic relationships between devices. This process mathematically and modeled the interactions between devices by extracting influence functions from the transfer function as influencing factors. The extraction of these influencing factors not only helps managers clearly understand the direct relationships between devices but also reveals hidden indirect relationships by constructing indirect influencing factors. The calculation of the indirect influencing factor is based on the product of the influence factors of two devices. By combining it with the device interaction relationships in the second linked data chain, it further improves the dynamic network of interactions between devices. This design not only presents a comprehensive picture of the complex relationships between devices, but also provides targeted optimization suggestions and strategic support for actual management.

[0145] In terms of data management, all direct and indirect influencing factors are stored in relevant data nodes. Through the organic combination of the first and second associated data chains, centralized management of device status and associated relationships is achieved. Compared with traditional device information management methods, this management method based on chain structure and factor analysis is more systematic and integrated. The unified storage mode of data nodes enables the real-time tracking and updating of device operating status, historical records, and dynamic changes, significantly reducing information delays and asymmetry. In addition, this centralized management method can effectively avoid information silos, thereby improving the efficiency and consistency of overall data sharing.

[0146] From the perspective of management efficiency, this chain management approach, by systematizing and centralizing equipment information, not only improves the availability of equipment resources but also reduces the time cost of information retrieval and status monitoring. Through the chain structure, managers can quickly locate equipment, obtain detailed information and related information, and provide reliable support for decision-making. Furthermore, by quantifying and analyzing dynamic relationships, accurate prediction and optimization can be achieved in equipment management. For example, by analyzing influencing factors, critical nodes or potential failure points of equipment can be quickly identified, providing a scientific basis for preventive maintenance and optimization. This efficiency improvement is particularly important in large-scale highway engineering experimental projects, as the large number of equipment involved and the complex relationships between them make efficient management difficult through manual or traditional methods alone.

[0147] From the perspective of device information centralization, the synergy between the first and second linked data chains, as well as the extraction and storage of influencing factors, achieves a high degree of centralization and standardization of device information. This centralized management model effectively aggregates scattered device data across different experimental units, enabling unified control of all device information on a single management platform. This not only reduces the risk of data loss or redundancy but also provides a data foundation for cross-departmental and cross-team collaboration. For example, when multiple experimental projects need to share or schedule equipment, the centralized management system can quickly and dynamically allocate equipment, avoiding resource waste or deployment errors.

[0148] In summary, through the multiple integration of primary and secondary data links, influencing factors, and indirect influencing factors, the equipment management system for the highway engineering experimental project has achieved comprehensive informatization, centralization, and intelligentization. This system optimization not only addresses the challenges of inefficiency and data fragmentation in traditional equipment management, but also provides scientific support for precise management and optimization of equipment through quantitative dynamic relationship analysis. Ultimately, these improvements significantly improved management efficiency and the centralization of equipment information, providing a solid foundation for the efficient operation of the project and setting a good example for equipment informatization management in other similar fields.

[0149] The above is a method for informatizing highway engineering experimental equipment provided in one embodiment of this embodiment. Based on the same idea, this embodiment also provides a corresponding highway engineering experimental equipment informatization system. Each module in the above highway engineering experimental equipment informatization system can be implemented in whole or in part through software, hardware, or a combination thereof. Each of the above modules can be embedded in or independent of a processor in a computer device in the form of hardware, or can be stored in the memory of the computer device in the form of software, so that the processor can call and execute the corresponding operations of each of the above modules.

[0150] This embodiment also provides a computer-readable storage medium, which stores a computer program that can be used to execute the above Figure 1 Provided is an information method for highway engineering experimental equipment.

[0151] Those skilled in the art will understand that all or part of the processes in the above-mentioned embodiment methods can be implemented by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application may include at least one of non-volatile and volatile memory. Non-volatile memory may include read-only memory (ROM), tape, floppy disk, flash memory or optical memory, etc. Volatile memory may include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM).

[0152] The above are only preferred embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A highway engineering experimental equipment informationization method, characterized in that: The following steps are involved: Determine each highway engineering experimental project and construct multiple data units; According to the equipment execution process required in the highway engineering experimental project process, a first associated data chain is constructed in each data unit; wherein each data node in the first associated data chain stores the device ID and the current health status information of the device; Searching all device IDs in sequence, determining the same data nodes in the first associated data chain of two data units with the same device ID, and constructing multiple second associated data chains; Conduct experiments on each highway engineering experimental project, use system identification methods to build and fit a transfer function model used to characterize the dynamic relationship between two devices, determine the influence function in the transfer function model as the influence factor of the upstream device on the downstream device, and store it in the data node; Determine, based on the plurality of first associated data links and second associated data links, and each impact factor, an indirect impact factor between devices corresponding to each data node between two first associated data links that exist in the second associated data link, and store the indirect impact factor in the data node; the indirect impact factor is the product of the impact factors of the two devices and the device corresponding to the data node of the second associated data link; Monitor the health status of each device and set the management threshold of each device based on the health status of each device; when the health status of a device changes during the implementation of a highway engineering pilot project, monitor other devices whose influencing factors and indirect influencing factors related to the device exceed the management threshold, update the current health status information of the device and other devices, and re-update the management threshold of each device based on the health status information; The method of conducting a test on each highway engineering experimental project and using a system identification method to construct and fit a transfer function model for characterizing the dynamic relationship between two devices includes the following steps: Determine experimental data information according to the highway engineering experimental project, including the required equipment ID, the input signal of each equipment operation, the output result of each equipment operation and the experimental conditions, and the data node information in the first associated data chain; Based on the experimental data information, as well as the collected input signals of each device, the output results of each device, and the total output results of the experimental project, the least squares method is used to fit the transfer function model used to describe the dynamic relationship between any two devices; The transfer function is in the form: Where, 、 are the fitting system parameters; is the Laplace transform variable; is the transfer function, , Indicates the input of the preceding device Output with post-device the relationship between; Extracting transfer function gains K , when the gain K When greater than 1, all gains K After the absolute value processing, it is multiplied by a uniform scaling factor to form an impact factor less than 1. F ; The determining of the indirect influence factor between devices corresponding to each data node between two first associated data links having a second associated data link comprises the following steps: The indirect influence factor between two devices through the intermediate device is obtained by the comprehensive calculation of two or more transfer functions: in, is the direct impact factor of device A on device C; is the direct impact factor of device C on device B; is the indirect impact factor of device A on device B.

2. The highway engineering experimental equipment informatization method according to claim 1, characterized in that: The process of determining each highway engineering experimental project and constructing multiple data units includes the following steps: According to the actual needs of highway projects, clarify the experimental projects that need to be implemented; Construct multiple data units, take each experimental project as the core content of a data unit, define the data unit, and assign a unique identifier to each data unit; the defined data unit includes determining the equipment information, experimental steps, environmental parameters, input and output data of the data unit required for each experiment.

3. The highway engineering experimental equipment informatization method according to claim 2, characterized in that: The process of constructing a first associated data chain in each data unit according to the equipment execution process required in the highway engineering experimental project process includes the following steps: For each highway engineering experiment project, list the required experimental equipment and record its equipment ID; Define device status information, including current status information and additional parameters related to device operation; Define the use sequence and dependencies of equipment according to the process of each experimental project, ensure that the equipment completes the task in the prescribed order, and clarify the data flow relationship between equipment; In each experimental project, multiple data nodes are constructed, each of which stores device ID, device status information, and timestamp; According to the experimental project process, the relevant data nodes are connected in sequence according to the device order to form a first associated data chain. The first associated data chain records the complete execution process from device 1 to device N, reflecting the operation path of the device. The plurality of first associated data links are respectively stored in the corresponding plurality of data units, and form a unique data link number; wherein, during the execution of the experimental project, each time the device status changes, the status information in the corresponding data node is updated in real time.

4. The highway engineering experimental equipment informatization method according to claim 3 is characterized in that: The step of constructing multiple second associated data chains includes the following steps: Traverse the data units of all highway engineering experimental projects, extract all equipment IDs therein, and generate a list of equipment IDs; According to the list of device IDs, searching the first associated data chain of the data unit to find two data units using the same device ID; For the same device ID, locate the data node corresponding to the device in each first associated data chain, create an index table from device ID to data node, and group all data nodes with the same device ID; In the first association data chain, it is identified whether two data nodes with the same device ID share the same state information or timestamp; if the conditions match, the two data units are associated through the data node corresponding to the device; Connecting the associated data nodes in time or state order to form a second associated data chain; wherein each second associated data chain stores an associated device ID and a data node relationship; the data node relationship records the state information, timestamp, and data unit of the two or more associated data nodes; Create an association table that records all device IDs, data units, data link numbers, and node information. During the execution of the experimental project, the changes in the device status are monitored in real time, the node information in the first associated data chain is dynamically updated, and the second associated data chain is updated according to the latest status and association relationship table of the first associated data chain.

5. A highway engineering experimental equipment information system, characterized in that: The system comprises: processor; a memory having stored thereon a computer program executable on the processor; Wherein, when the computer program is executed by the processor, the steps of the highway engineering experimental equipment informatization method according to any one of claims 1 to 4 are implemented.

6. A computer-readable storage medium, characterized in that The computer-readable storage medium stores a data processing program, which, when executed by a processor, implements the steps of the highway engineering experimental equipment informatization method according to any one of claims 1 to 4.

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