Port equipment state linkage early warning method based on whole life cycle information association

Abstract

The application discloses a port equipment state linkage early warning method based on full life cycle information association and belongs to the technical field of safety monitoring and early warning. The method comprises the following steps: data acquisition and multi-source association, equipment node risk calculation, operation chain graph construction and link sensitivity analysis, hierarchical early warning triggering, local intervention execution and rewriting. The application collects full life cycle data of port equipment, calculates a port equipment node risk value in combination with a dynamic weight, establishes an operation chain graph to analyze link sensitivity, adjusts operation order, equipment load and operation rate according to a risk level or switches to a backup operation scheme, achieves the effects of dynamic intervention on a high-risk link, downstream operation guarantee and operation safety and efficiency improvement, and solves the problem in the prior art that when potential risks occur due to the simultaneous action of equipment state abnormalities, environmental changes and operation plan adjustment on multiple devices, operation order and scheduling strategies cannot be dynamically optimized, safety and efficiency cannot be simultaneously guaranteed.

Description

Technical Field

[0001] The present invention relates to the technical field of safety monitoring and early warning, and particularly to a port equipment status linkage early warning method based on full life cycle information association. Background Art

[0002] With the development of society's demand for ports, the number of port equipment has increased and the operation process has become increasingly complex. Port operation management faces challenges where abnormal equipment status, environmental changes, and operation plan adjustments act on multiple devices simultaneously. The development of technology is gradually advancing towards intelligence and linkage. Through full life cycle data management, operation link analysis, and multi-device linkage early warning methods, dynamic risk identification, hierarchical early warning, and operation scheduling optimization of port equipment are achieved, so as to balance operation safety and efficiency.

[0003] The existing port operation management system reads operation plans, equipment status sensor data, and manual inspection information, and combines fixed operation plans, static scheduling strategies, and simple rules to perform operation assignment and sequence arrangement. When an abnormality occurs in a single device or a problem occurs in a local operation link, it can trigger preset operation prompts, shutdown control, or local adjustment, so as to maintain the continuous execution of operation tasks and prevent operation interruption or operation efficiency decline caused by local equipment abnormalities to a certain extent.

[0004] For example, a device health status video linkage online monitoring and early warning platform system disclosed in a Chinese utility model patent with the publication number CN212516071U includes: adopting multi-modal online monitoring and video linkage technology, combining acceleration sensors, vibration-temperature integrated sensors, cameras, and thermal imagers to achieve real-time monitoring and early warning of the health status of underground equipment. The system transmits sensor and video data to the data acquisition master station through an industrial network, and uses an intelligent analysis module to comprehensively judge parameters such as equipment vibration, temperature, and infrared imaging, so as to trigger an early warning and can linkage-control related equipment. This solution solves the problems of scattered monitoring data, low analysis efficiency, and difficulty in detecting early faults in coal mine underground monitoring, and realizes automatic acquisition, intelligent analysis, and linkage early warning control of equipment health status.

[0005] For example, a linkage early warning management method, system, storage medium, and device disclosed in a Chinese invention patent with the publication number CN114446020B includes: grouping sensors according to the type or cross-section of monitoring items, collecting sensor data of each group in real time, and calculating data fluctuations, change rates, and the degree of association with influencing factors, so as to judge the abnormal conditions of each monitoring group, and then generating the early warning level of the target monitoring object based on the number of abnormalities in each monitoring group. This method solves the problems of large data volume, low comprehensive analysis efficiency, and easy misjudgment in traditional manual early warning, and realizes efficient linkage early warning management of different monitoring items and monitoring parts.

[0006] The above-mentioned technology has at least the following technical problems: Existing port equipment early warning schemes are mostly based on independent judgment of abnormal status parameters of single equipment. Although they can provide early warning or shutdown response for local anomalies, in the process of multi-equipment collaborative operation in the port, when a port equipment has an abnormal status in the current operation link, the existing technology has difficulty in timely judging whether the anomaly will spread to downstream port equipment or downstream operation links along the operation chain. It is also difficult to perform targeted local control intervention on related equipment in the affected link before the anomaly spreads. As a result, the risk transmission identification in multi-equipment collaborative operation scenarios is lagging and the intervention is not targeted enough. Summary of the Invention

[0007] To address the technical problem in existing technologies where the lack of a chain-like risk identification mechanism based on the association of equipment lifecycle information and operational chain dependencies makes it difficult to promptly identify the scope of anomaly propagation and implement targeted local control interventions on related equipment in the affected chain, this invention provides a port equipment status linkage early warning method based on the association of lifecycle information. This method includes: S1. Establish a full lifecycle archive for port equipment, assign a unique identifier to each piece of port equipment, spanning from manufacturing, installation, use, maintenance and scrapping, and uniformly associate them according to port equipment identifier, operation link and time slice to form a multi-source context dataset of port equipment association.

[0008] S2 calculates the risk value of port equipment nodes based on the port equipment identifier, operation process, and time slice of the current port equipment, combined with multi-source context datasets, and according to dynamic weights.

[0009] S3 constructs a work chain diagram based on historical work data and process records, and identifies key nodes and key work steps.

[0010] S4. When the risk value of a port equipment node reaches the trigger condition, a link sensitivity level is generated, a chain risk propagation analysis is performed, the chain risk level is determined, and the corresponding risk warning level is triggered.

[0011] S5 determines local intervention candidate plans based on the risk warning level, implements corresponding adjustments to the work sequence, port equipment load, work rate, or backup plan, and records the results in real time.

[0012] S6 records the implementation status of local interventions, changes in the status of port equipment, and the results of the local intervention plan, and writes them back to the port equipment's full life cycle archive.

[0013] The beneficial effects of the technical solutions provided in the embodiments of the present invention include at least the following: 1. The port equipment status linkage early warning method based on full life cycle information association provided by the present invention uniformly associates port equipment factory parameters, installation information, maintenance records, operation records, environmental data and status data according to port equipment identification, operation links and time slices, forming a multi-source context dataset for the current operation status of a single piece of equipment, thereby improving the comparability of data from different sources under the same equipment and the same operation stage, and providing a more complete data foundation for calculating the node risk value of port equipment.

[0014] 2. This invention calculates the risk value of port equipment nodes by combining dynamic weights, constructs an operation chain diagram based on historical operation data and process records, and determines the sensitivity of the link by combining historical anomaly co-occurrence, operation blockage impact records and downstream carrying capacity. In this way, it can identify whether an anomaly has the possibility of propagating downstream along the operation chain, as well as identify potentially affected equipment and potential impact range.

[0015] 3. This invention combines the risk value of port equipment nodes, the sensitivity level of links, and the potential scope of impact to trigger risk warnings of the corresponding level. It also performs local work sequence rearrangement, port equipment load adjustment, work rate adjustment, or switch to backup work plan for relevant equipment in the affected links. This reduces the probability of risk source equipment transmitting to downstream work links before the anomaly spreads, and improves the pertinence of linkage warning and local intervention in the scenario of multi-equipment collaborative operation in ports. Attached Figure Description

[0016] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0017] Figure 1 This embodiment provides a flowchart of a port equipment status linkage early warning method based on full lifecycle information association. Figure 2 A flowchart illustrating the link sensitivity level and chain risk propagation analysis of the port equipment status linkage early warning method based on full lifecycle information association provided in this embodiment; Figure 3 The flowchart for determining the chain-like risk level and triggering the risk warning level in the port equipment status linkage early warning method based on full life cycle information provided in this embodiment; Figure 4 This is a flowchart illustrating the generation of a local intervention scheme for the port equipment status linkage early warning method based on full lifecycle information association provided in this embodiment. Detailed Implementation

[0018] This embodiment provides a port equipment status linkage early warning method based on full lifecycle information association, which is used for risk management scenarios of multi-port equipment collaborative operation in ports or large-scale operation sites. It solves the problems in the prior art that when a port equipment has an abnormal status in the current operation process during multi-equipment collaborative operation, it is difficult to determine in time whether the abnormality will spread to downstream port equipment or downstream operation links along the operation chain, and it is difficult to implement targeted local control intervention on related equipment in the affected link before the abnormality spreads.

[0019] Example 1 By generating dynamic weights from four key parameters—vibration frequency, temperature, mechanical power, and action response delay—in conjunction with current environmental and operational conditions, the current risk value of port equipment nodes is calculated. Based on historical operational data and operational chain diagrams, chain-based risk analysis is performed to identify potentially affected downstream port equipment and operational links, thereby triggering corresponding risk warnings. After a risk warning is triggered, local intervention candidate schemes are generated, and corresponding control commands are issued to relevant equipment in the affected chain to achieve local control intervention. Finally, the execution results are written back to the port equipment's full lifecycle archive. Figure 1 The flowchart shown is for a port equipment status linkage early warning method based on full lifecycle information association. The processing flow of this method includes the following steps: S1. First, a unique port equipment identifier is assigned to each piece of port equipment, and this unique identifier serves as the information association key for that port equipment in the manufacturing, installation, use, maintenance, and scrapping stages. Specifically, the manufacturing stage information consists of the manufacturer's provided factory parameters and records; the installation stage information consists of the installation location, installation time, and commissioning report; the use stage information consists of operation records, operating status records, and load records; the maintenance stage information consists of maintenance time, maintenance items, repair results, and fault handling records; and the scrapping stage information consists of scrapping time, scrapping reason, and downtime records. Then, the information from each of these stages is aggregated according to the unique port equipment identifier to form a complete lifecycle file for the port equipment.

[0020] Real-time collection of environmental data, operational plan data, and port equipment status data is achieved. Environmental data includes wind speed, visibility, tide level, and wave height, collected in real time by port environmental monitoring equipment, including anemometers, visibility meters, tide level meters, and wave height sensors, which measure wind speed, visibility, tide level, and wave height information in real time. Operational plan data includes vessel berthing sequence, operation time, and port equipment load, provided by the port operation scheduling unit or vessel berthing management unit, including vessel berthing sequence, operation time arrangement, and operational load information allocated to each port piece of equipment. Port equipment status data includes vibration frequency, temperature, mechanical power, and action response delay, collected in real time by the port equipment's own sensors and control units, including vibration sensors to obtain vibration frequency, temperature sensors to monitor the temperature of key components, power sensors or control units to obtain mechanical power, and control units to record action response delay.

[0021] Environmental data, work plan data, and port equipment status data are linked together using port equipment identification, work stages, and time slices. First, a unified data primary key structure is established, defining consistent basic fields for all data, including port equipment identification, data time, current work stage, data type identifier, data status value, and data source identifier. Specifically, the data time is recorded by the timestamp from the equipment sensors or work management unit, indicating the specific time the data was generated or collected; the current work stage is provided by the work scheduling unit or work plan management unit, identifying the work task or stage corresponding to the current data; the data type identifier is generated by the equipment configuration, indicating whether the data belongs to a category such as vibration, temperature, power, action delay, environmental parameters, or work plan; the data status value is the actual measured value or status information collected by the equipment sensors, control units, or work management unit; and the data source identifier is automatically recorded by the data acquisition unit, indicating the specific sensor, equipment control unit, or work plan unit from which the data originates.

[0022] Establish a data mapping relationship to port equipment, associating port equipment status data with the corresponding port equipment according to the port equipment identifier, associating operation plan data with the corresponding port equipment according to the equipment allocation information, and associating environmental data with the corresponding port equipment according to the operation area or equipment service range corresponding to the collection location. Establish a mapping relationship for the current operation stage, determining the actual operation stage of each port equipment at each time based on the operation plan data table, process status table, and port equipment action records, and generating a current operation stage label. The operation plan data table records the planned execution information of port equipment under the predetermined operation schedule, including at least the port equipment identifier, operation task identifier, operation sequence, planned start time, planned end time, planned load, and planned operation location. The process status table records the current status information of the operation task during actual execution, including at least the operation task identifier, current status, status start time, status update time, and associated port equipment identifier. The port equipment action records record the equipment action events that occur during the actual operation of the port equipment, including at least the port equipment identifier, action type, action occurrence time, action duration, and action result. A unified time slice is then established to compare data from different frequencies at the same time. This data includes the current operational stage, current environmental data, current work plan data, and current port equipment status data. For high-frequency continuous data, the average value within the time slice is used as the representative value; for low-frequency environmental data, the most recent valid value is used as the representative value; and for event-based work plan data, the current data is directly used as the representative value. Finally, a unified association record is generated, including port equipment identifier, time slice, current operational stage, current environmental data, current work plan data, and current port equipment status data. This forms a multi-source contextual dataset for port equipment association.

[0023] S2. Under the current port equipment identification, current operation stage and time slice, the historical operating data of the port equipment in the port equipment life cycle archive when there are no abnormalities, the operation is normal and the environmental conditions are within the benchmark range are selected. The historical operating data includes at least vibration frequency, temperature, mechanical power and action response delay, and the average value of the above parameters under the benchmark state is calculated to obtain the historical stable reference value. The measured values ​​of vibration frequency, temperature, mechanical power, and action response delay of the current port equipment are subtracted from their corresponding historical stable reference values ​​to obtain the vibration frequency deviation, temperature deviation, mechanical power deviation, and action response delay deviation values, respectively. The absolute values ​​of each deviation are then compared with the sum of the corresponding historical stable reference value and the preset stability bias to obtain the original deviation ratios for vibration frequency, temperature, mechanical power, and action response delay. The preset stability bias is used to prevent abnormal amplification of risk scores due to excessively small historical stable reference values. Each original deviation ratio is then converted into a risk score between 0 and 1 according to a preset score mapping range. When the original deviation ratio is greater than the preset upper limit, the corresponding risk score is truncated to 1; when the original deviation ratio is less than the preset lower limit, the corresponding risk score is truncated to 0, thus obtaining the vibration frequency risk score, temperature risk score, mechanical power risk score, and action response delay risk score.

[0024] Based on the type of port equipment, preset base weight values ​​are set for vibration frequency, temperature, mechanical power, and action response delay. Different types of port equipment correspond to different combinations of base weights. For example, for quay cranes, the base weight values ​​for action response delay and vibration frequency are set higher than those for temperature and mechanical power. For AGVs, the base weight values ​​for action response delay and temperature are set higher than those for vibration frequency and mechanical power. For yard cranes, the base weight values ​​for vibration frequency and mechanical power are set higher than those for temperature and action response delay.

[0025] After determining the basic weight values, the environmental condition group corresponding to the current time slice and the historical operation group corresponding to the current operation are matched based on the multi-source context dataset. The environmental condition group is jointly determined by the intervals of wind speed, visibility, tide height, and wave height, while the operation group is determined by preset operation stages such as loading and unloading, transfer, storage, and handover. Historical records within the preset historical statistical period are read. First, the current environmental condition group is determined based on the wind speed, visibility, tide height, and wave height of the current time slice. Then, the current operation group is determined based on the current operation group label. Next, records in the historical records that match the current environmental condition group and the current operation group are selected to obtain the target historical records. The number of anomalies and the total number of operations corresponding to each parameter of vibration frequency, temperature, mechanical power, and action response delay in the target historical records are counted. The historical anomaly frequency of each parameter under the current matching conditions is obtained based on the ratio of the number of anomalies to the total number of operations. Next, the historical abnormal frequency of each parameter under the current matching conditions is compared with the sum of the historical abnormal frequencies of the four types of parameters to obtain the scene sensitivity coefficient corresponding to each parameter. The basic weight values ​​of vibration frequency, temperature, mechanical power, and action response delay are multiplied with the corresponding scene sensitivity coefficient to obtain the initial adjustment weight of each parameter. When the scene sensitivity coefficient corresponding to any parameter is greater than the preset sensitivity coefficient threshold, the initial adjustment weight of the parameter is increased by a preset supplementary value. When the scene sensitivity coefficient corresponding to any parameter is less than or equal to the preset sensitivity coefficient threshold, the initial adjustment weight of the parameter remains unchanged or is reduced according to a preset attenuation ratio. Then, the adjusted weights of the four types of parameters are normalized so that the sum of the dynamic weights of vibration frequency, temperature, mechanical power, and action response delay is 1, thereby obtaining the dynamic weights under the current time slice and the current operation stage.

[0026] When there are no completely matching samples in the historical statistical period for the current environmental condition group or the current operation link group, the historical statistical results of adjacent environmental condition groups or similar operation link groups under the same equipment type are read first. Similar operation link groups refer to operation link groups that are adjacent to the current operation link group in the preset operation process under the same equipment type, and whose mean difference in mechanical power and mean difference in action response delay in the corresponding historical statistical results are not greater than the preset difference threshold. When there are still not enough historical samples, the global statistical weight corresponding to the equipment type is used as the dynamic weight under the current time slice.

[0027] Subsequently, the vibration frequency risk score, temperature risk score, mechanical power risk score, and action response delay risk score are multiplied by their corresponding dynamic weights for vibration frequency, temperature, mechanical power, and action response delay, respectively. These products are then summed to obtain the port equipment node risk value for the current time slice and current operational stage. The port equipment node risk value quantifies the risk level of the current port equipment in the current scenario and serves as input for subsequent link sensitivity analysis, chain risk level determination, and risk warning triggering.

[0028] S3 reads the operation process records through the port's operation planning unit. The operation process records include the sequential connections, coordination relationships, and waiting-to-trigger relationships of various port equipment within the same operation task. Sequential dependencies are assigned based on the sequential connections between port equipment, coordination dependencies are assigned based on the coordination relationships, and waiting-to-trigger dependencies are assigned based on the waiting-to-trigger relationships.

[0029] For example, if crane A completes container unloading before conveyor belt B can start transporting containers, then crane A and conveyor belt B have a sequential dependency; if forklift C and conveyor belt D operate simultaneously to complete the transfer task, then forklift C and conveyor belt D have a cooperative dependency; if automatic inspection equipment E starts operating after crane F completes positioning and sends a ready signal, then automatic inspection equipment E and crane F have a waiting-to-trigger dependency.

[0030] Then, the port's historical operation data is read through the port's operation management unit or operation record unit. The port's historical operation data includes historical operation participation records, operation start and end times, port equipment handover sequence, and operation completion status, and is used as an additional attribute for each port equipment node. Finally, with port equipment as nodes, the dependencies between port equipment as edges, and the port's historical operation data as additional attributes for the nodes, an operation chain diagram is formed.

[0031] For each port equipment node in the operation chain diagram, the corresponding equipment type identifier, set of executable operation functions, current equipment availability status, and current operation permission status are read. Other port equipment nodes are searched in the operation chain diagram. If another port equipment node simultaneously meets the following conditions: its equipment type identifier matches the current node, its set of executable operation functions covers the corresponding operation function of the current node, its current equipment availability status is "available," and its current operation permission status allows for switchover, then this other port equipment node is determined as a replaceable port equipment of the same type as the current node. The number of directly downstream port equipment of the current node in the operation chain diagram is then counted and compared with a preset threshold for the number of downstream port equipment. If the number of directly downstream port equipment is greater than the preset threshold and there are no replaceable port equipment of the same type, the current node is determined as a critical node. If the number of directly downstream port equipment is less than or equal to the preset threshold, or if the number of directly downstream port equipment is greater than the preset threshold but there are replaceable port equipment of the same type, the current node is determined as a non-critical node. Subsequently, all port equipment nodes are categorized according to the operation link identifiers in the operation plan data table, forming multiple operation link node sets; when an operation link node set contains at least one critical node, the operation link is determined to be a critical operation link; when an operation link node set does not contain a critical node, the operation link is determined to be a non-critical operation link.

[0032] In some implementations, the threshold for the number of downstream port equipment is preset based on the average number of downstream connections of each node in the historical operation chain diagram, the statistical results of critical operation bottlenecks, or the experience of port site configuration.

[0033] S4, as Figure 2The diagram illustrates the link sensitivity level and chain-based risk propagation analysis flowchart of a port equipment status linkage early warning method based on full lifecycle information association. The process involves extracting the risk value of the current port equipment node. When the risk value of a port equipment node reaches a preset threshold, that port equipment is designated as the risk source node for this chain-based risk propagation analysis. Downstream propagation links directly connected to the risk source node are extracted based on the operation chain diagram, forming candidate propagation links. Among these candidate links, propagation paths currently in operation are retained as valid propagation links. Historical anomaly co-occurrence, operation blockage impact records, and downstream carrying capacity are obtained for each valid propagation link to generate a link sensitivity level. The historical anomaly co-occurrence information is first stored in the form of historical anomaly co-occurrence records. These records include at least the upstream anomaly equipment identifier, the upstream anomaly occurrence time, the upstream anomaly type, the corresponding downstream port equipment identifier, the downstream anomaly occurrence time, and the corresponding operational stage identifier. When generating the link sensitivity level, historical anomaly co-occurrence records with the same anomaly type as the current risk source port equipment node are extracted from the port equipment's historical operation logs and anomaly record units. Records that have experienced downstream anomalies within a preset time window are then selected. The number of historical anomaly co-occurrence records that meet the preset time window condition is counted, and this number is compared with the total number of corresponding historical samples to obtain the historical anomaly co-occurrence ratio corresponding to the current effective propagation link. The historical anomaly co-occurrence ratio is then compared with a preset anomaly co-occurrence threshold. When the historical anomaly co-occurrence ratio is greater than or equal to the preset anomaly co-occurrence threshold, it is determined that the upstream port equipment anomaly will be transmitted to the downstream port equipment. When the historical anomaly co-occurrence ratio is less than the preset anomaly co-occurrence threshold, it is determined that the upstream port equipment anomaly will not be transmitted to the downstream port equipment.

[0034] Operational congestion impact records refer to the predictions made regarding whether the effective propagation link can complete the operation on time when downstream port equipment experiences waiting, pauses, rescheduling, or interruptions due to abnormalities or delays in upstream port equipment. The process involves reading the operation plan data table and execution record table corresponding to the effective propagation link to obtain the total workload, completed workload, and corresponding execution time. The difference between the total workload and the completed workload is then calculated to obtain the remaining workload. When the corresponding execution time is greater than zero, the completed workload is divided by the corresponding execution time to obtain the current operation execution speed. When the corresponding execution time is zero, the current link is paused, or the current link is interrupted, the current operation execution speed is marked as zero speed. If the current operation execution speed is not zero speed, the remaining workload is divided by the current operation execution speed to obtain the estimated completion time. If the current operation execution speed is zero speed, the effective propagation link is directly marked as unable to complete on time. The estimated completion time or the status of not being able to complete on time is then compared with the preset completion time. When the estimated completion time is less than or equal to the preset completion time, it is determined that the job blockage has not affected the completion of downstream jobs. When the estimated completion time is greater than the preset completion time or the current effective propagation link is marked as not being able to complete on time, it is determined that the job blockage affects the completion of downstream jobs, and a job blockage impact record is generated.

[0035] Downstream carrying capacity includes backup port equipment, backup effective propagation links, or buffer measures, and is obtained by reading equipment configuration, backup resource status, and link availability information through the operation scheduling unit and equipment management unit. If there are available backup port equipment, switchable backup effective propagation links, or activatable buffer measures downstream of the effective propagation link, it is determined that the system has downstream carrying capacity; if there are no such backup resources or buffer measures, it is determined that the system does not have downstream carrying capacity.

[0036] Based on historical anomaly co-occurrence patterns, operational congestion impact records, and downstream carrying capacity, the sensitivity level of each effective propagation link is determined. If an anomaly in upstream port equipment propagates to downstream port equipment, and operational congestion affects the completion of downstream operations, and the downstream lacks carrying capacity, then the sensitivity level of this effective propagation link is determined to be high sensitivity. If an anomaly in upstream port equipment propagates to downstream port equipment, and operational congestion does not affect the completion of downstream operations, or the downstream has carrying capacity, then the sensitivity level of this effective propagation link is determined to be medium sensitivity. If an anomaly in upstream port equipment does not propagate to downstream port equipment, then the sensitivity level of this effective propagation link is determined to be low sensitivity.

[0037] The sensitivity level of the link is read. If the sensitivity level is low, the effective propagation link is determined not to meet the chain risk propagation requirement. The chain risk propagation analysis for the current time slice ends, and the port equipment status continuous monitoring process returns. The risk value of the port equipment node is recalculated in the next time slice. If the sensitivity level is medium or high, the effective propagation link is determined to meet the chain risk propagation requirement. For each effective propagation link that meets the chain risk propagation requirement, the corresponding downstream port equipment is marked as potentially affected port equipment according to the operation chain diagram. When there are multiple effective propagation links that meet the chain risk propagation requirement, the downstream port equipment corresponding to each effective propagation link is merged and deduplicated to form a set of potentially affected port equipment. The operation links corresponding to each port equipment in this set are extracted, and all potentially affected port equipment and their corresponding operation links are summarized to form the potential impact range. If there are no key nodes in the set of potentially affected port equipment, the potential impact range is determined to be small; if there are key nodes in the set of potentially affected port equipment, the potential impact range is determined to be large.

[0038] like Figure 3 The flowchart shown illustrates the chain-like risk level determination and triggering risk warning level of the port equipment status linkage early warning method based on full lifecycle information association. It reads the historical average risk value of the port equipment node at the risk source through the historical operation logs and anomaly record units, and compares the current risk value of the port equipment node with the historical average risk value. If the current risk value is less than the historical average risk value, the port equipment node is considered to have a low risk value; if the current risk value is greater than or equal to the historical average risk value, the port equipment node is considered to have a high risk value.

[0039] Based on the risk value of the port equipment nodes at the risk source, the sensitivity level of the effective propagation link, and the size of the potential impact range, the chain risk level is determined according to a mutually exclusive classification rule. Specifically, when the link sensitivity level is medium sensitive, the port equipment node risk value is low, and the potential impact range is small, it is determined to be a low chain risk level. When the link sensitivity level is medium sensitive, the port equipment node risk value is high, and the potential impact range is small, or when the link sensitivity level is high sensitive, the port equipment node risk value is low, and the potential impact range is large, it is determined to be a high chain risk level. Within the same time slice, the port equipment node at the risk source corresponds to only one chain risk level; when multiple chain risk level determination conditions are met simultaneously, the final chain risk level is determined according to the principle of prioritizing the higher chain risk level.

[0040] The risk warning level is determined based on the chain risk level and the size of the potential impact. A low-risk warning is triggered when the chain risk level is low; a medium-risk warning is triggered when the chain risk level is medium, or when the chain risk level is high and the potential impact is small; and a high-risk warning is triggered when the chain risk level is high and the potential impact is large.

[0041] Only one risk warning level is output within the same time slice. When there are multiple candidate warning levels, the final risk warning level is determined according to the principle of prioritizing the highest risk warning.

[0042] Thresholds for port equipment node risk values, anomaly co-occurrence thresholds, preset completion times, downstream port equipment quantity thresholds, and various tiered thresholds can be preset based on historical port operation data statistics, equipment rated operating parameters, experience data from similar operation scenarios, or on-site commissioning results, and can be updated based on write-back results during subsequent operation.

[0043] S5. Based on the risk warning level, determine the candidate local intervention plan and execute the generated local intervention plan.

[0044] When a low-risk warning is triggered, a mild intervention is implemented, and the local intervention candidate is determined as the control command corresponding to the local operation sequence rearrangement. Specifically, based on the current operation sequence and corresponding operation time arrangement of each port equipment within the effective propagation link read from the operation plan data table by the operation scheduling unit, the task release time, execution unit start-stop sequence, or handover rhythm of the relevant equipment within the effective propagation link are adjusted without violating the operation plan constraints. This includes delaying the activation time of the execution unit corresponding to the risk source port equipment node, activating the execution unit corresponding to the equipment with lower risk value in advance, or adjusting the handover trigger time between adjacent equipment. After the sequence adjustment plan is generated, the new execution sequence parameters are written into the operation scheduling unit and issued for execution.

[0045] When a medium-risk warning is triggered, moderate intervention is implemented. If the chain risk level is medium-level, the local intervention candidate is port equipment load adjustment; if the chain risk level is high-level and the potential impact range is small, the local intervention candidate is operation rate adjustment. Port equipment load adjustment includes reducing the maximum single-lift weight, maximum single-cycle handling quantity, drive output torque setting, or load setting of the risk source port equipment or affected downstream port equipment; operation rate adjustment includes reducing the maximum operating speed, lifting or lowering speed, conveying cycle time, handover frequency, drive frequency limit, or continuous action intensity of related equipment within the effective propagation link. After the load adjustment plan or operation rate adjustment plan is generated, the corresponding control parameters are written into the port equipment control unit or operation scheduling unit and issued for execution, thereby reducing the risk of abnormal spread and improving the system's buffer capacity.

[0046] When a high-risk warning is triggered, a high level of intervention is implemented. The candidate intervention plan is to simultaneously adjust the port equipment load and operating rate, while also switching to a backup operation plan. The backup operation plan switch includes issuing activation commands to backup port equipment, deactivation or load reduction commands to primary port equipment, enabling commands to backup effective propagation links, and exit commands to the original effective propagation links. During the switchover process, the status of backup equipment and operation execution are monitored in real time. After confirming the switchover is complete, the new control parameters, equipment start / stop status, and link switchover results are written into the port equipment's full lifecycle file, thereby reducing the probability of abnormal spread of high-risk links.

[0047] In some implementations, partial work sequence rearrangement is achieved by adjusting task release time, equipment start-up and shutdown sequence, or handover trigger time; port equipment load adjustment is achieved by adjusting the upper limit of single lifting weight, the upper limit of single cycle handling quantity, drive output torque setting value, or load setting value; operation rate adjustment is achieved by adjusting the upper limit of running speed, lifting or lowering speed, conveying cycle time, handover frequency, upper limit of drive frequency, or continuous operation frequency; and standby operation plan switching is achieved by issuing activation commands to standby port equipment, issuing deactivation or load reduction commands to the original equipment, issuing enable commands to standby links, and issuing exit commands to the original links.

[0048] S6 tracks the implementation status of local intervention plans, changes in port equipment status, and operational results in real time during the execution of local intervention plans. It also records and writes back the port equipment node risk values, link sensitivity levels, chain risk levels, risk warning levels, control command types, control parameter values, command issuance times, execution results, and local intervention effect judgment results before and after intervention to the port equipment lifecycle archive.

[0049] If the risk value of port equipment nodes decreases after the implementation of a local intervention plan compared to before the intervention, and the chain risk level decreases or the potential impact range changes from large to small, the local intervention is deemed effective. If the risk value of port equipment nodes does not decrease after the intervention, the chain risk level remains at its original level, or the potential impact range does not shrink, the local intervention is deemed insufficient, and this result will be used as reference data for the selection of subsequent local intervention candidate plans and dynamic weight adjustment.

[0050] Example 2 like Figure 4 The flowchart shown illustrates the generation of local intervention schemes using a port equipment status linkage early warning method based on full lifecycle information association. For local intervention schemes, the local intervention scope can be obtained based on the potential impact scope, thereby generating local intervention candidate schemes. When the potential impact scope only involves the effective propagation link between the risk source port equipment and a single downstream port equipment, the local intervention scope is limited to a single effective propagation link; when the potential impact scope has expanded to multiple downstream port equipment or multiple affected operational processes, the local intervention scope is expanded to the corresponding multiple effective propagation links.

[0051] Based on the established local intervention scope, and considering downstream carrying capacity and the availability of backup port equipment or backup effective propagation links, one or more local intervention candidate schemes are generated. These candidate schemes include adjustments to task release timing, execution unit start-up and shutdown sequence, load setpoint adjustment, operating speed limit adjustment, work cycle adjustment, drive frequency limit adjustment, and / or backup equipment activation and backup link switching. Local intervention schemes are generated based on the risk warning level and the local intervention scope.

[0052] When the risk warning level is low, a local intervention plan is generated based on the local intervention scope. If the local intervention scope is a single effective propagation link, the local operation sequence is rearranged by adjusting the task release time of relevant equipment, the start-up and shutdown sequence of execution units, or the contact and triggering time. If the local intervention scope is multiple effective propagation links, the above-mentioned timing adjustment is executed first. If the risk warning level still does not change after the adjustment, an activation command is issued to the backup port equipment or an enable command is issued to the backup effective propagation links to reduce the continuous impact of risk nodes on downstream links.

[0053] When the risk warning level is medium risk, if the local intervention scope is a single effective propagation link, port equipment load adjustment is prioritized; if the local intervention scope involves multiple effective propagation links, port equipment load adjustment is still prioritized. Port equipment load adjustment specifically includes reducing the maximum weight limit for a single lifting operation, the maximum quantity handled per cycle, the drive output torque setting, or the current load setting. If the risk warning level remains unchanged after port equipment load adjustment, the operating rate is adjusted, specifically including reducing the maximum operating speed, handover cycle time, drive frequency limit, or continuous operation frequency. If the risk warning level remains unchanged after port equipment load adjustment and operating rate adjustment, a backup operation plan is switched. Port equipment load adjustment is prioritized because, when the equipment still has the conditions to continue operating, load setting adjustment can prioritize reducing motor torque, structural stress, wire rope tension, and vibration amplitude, allowing key parameters to first fall back to a safe range without immediately changing the overall operating cycle time. When load adjustment alone is insufficient to suppress risk propagation, further reducing the energy input and operational impact per unit time by lowering the maximum operating speed and handover cycle time is then implemented.

[0054] When the risk warning level is high, if the local intervention scope is a single effective propagation link, the port equipment load adjustment and operation rate adjustment will be performed simultaneously, and some execution unit shutdown instructions will be issued to the port equipment at the risk source as needed; if the local intervention scope is multiple effective propagation links, the backup operation plan will be switched first, which includes issuing activation commands to backup port equipment, enabling commands to backup effective propagation links, and exit commands to the original links; if the risk warning level still does not change after the backup operation plan is switched, the port equipment load adjustment and operation rate adjustment will be further performed to continue to reduce the probability of the anomaly spreading along multiple links.

[0055] After the local intervention plan is implemented, the implementation status of the local intervention plan, changes in the status of port equipment, and the results of the local intervention plan operation are recorded, and the results are recorded for writing back into the port equipment life cycle archive.

Claims

1. A port equipment status linkage early warning method based on full lifecycle information association, characterized in that, Includes the following steps: S1. Establish a full lifecycle archive for port equipment, assign a unique identifier to each piece of port equipment, spanning from manufacturing, installation, use, maintenance and scrapping, and uniformly associate them according to port equipment identifier, operation link and time slice to form a multi-source context dataset of port equipment association. S2, based on the port equipment identifier, operation process and time slice of the current port equipment, combined with the multi-source context dataset, calculate the risk value of the port equipment node according to dynamic weights; S3, constructs a work chain diagram based on historical work data and process records, and identifies key nodes and key work steps; Specifically, the dependencies between port equipment are obtained by reading process records; The process log includes the sequential connections, coordination relationships, and waiting-to-trigger relationships of various port equipment in the same operation task; Read historical operation data of port equipment, which includes port equipment participation records, operation start and end times, port equipment handover sequence and operation completion status; Based on the historical operation data and process records of port equipment, an operation chain diagram is formed with port equipment as nodes, the dependencies between port equipment as connections, and the historical operation data of port equipment as additional attributes. The number of downstream port equipment and whether there are similar alternative port equipment can be read through the operation chain diagram; If the number of downstream port equipment of the current port equipment is greater than the preset threshold for the number of downstream port equipment, and there is no equivalent port equipment available, then it is determined to be a critical node. S4. When the risk value of a port equipment node reaches the trigger condition, a link sensitivity level is generated, a chain risk propagation analysis is performed, the chain risk level is determined, and the corresponding risk warning level is triggered. The generated link sensitivity level includes: When the risk value of a port equipment node reaches the preset risk value threshold of a port equipment node, the port equipment is designated as the risk source port equipment node in this chain risk propagation analysis. Based on the operation chain diagram, extract the downstream propagation links that are directly connected to the port equipment nodes of the risk source, and use the extracted downstream propagation links as candidate propagation links. The process involves filtering out currently running propagation links from the candidate propagation links and identifying the filtered propagation links as valid propagation links. Obtain historical anomaly co-occurrence information, operation blockage impact records, and downstream carrying capacity for each effective propagation link; When an abnormality in upstream port equipment is transmitted to downstream port equipment, or when operational blockages affect the completion of downstream operations and there is no downstream carrying capacity, the link sensitivity level will be determined as high sensitivity. When an abnormality in upstream port equipment is transmitted to downstream port equipment, but the operational blockage does not affect the completion of downstream operations or there is downstream carrying capacity, the link sensitivity level will be determined as medium sensitive. When the upstream port equipment malfunctions and cannot transmit the information to the downstream port equipment, the link sensitivity level is determined to be low sensitivity. The chain-like risk propagation analysis process is as follows: If the sensitivity level of the link is low, it is determined that the chain risk propagation does not meet the requirements. If the sensitivity level of the link is medium or high, it is determined that the chain risk propagation is met. For each effective propagation link that satisfies chain-like risk propagation, the corresponding downstream port equipment is marked as potentially affected port equipment; When there are multiple valid propagation links that satisfy chain-like risk propagation, the potentially affected port equipment corresponding to each valid propagation link is merged and deduplicated. Read the operational processes corresponding to each potentially affected port equipment, summarize the potentially affected port equipment and their corresponding operational processes, and form the potential impact range; If there are no critical nodes among the potentially affected port equipment, the potential impact is considered to be small. If there are critical nodes in the potentially affected port equipment, the potential impact range is determined to be large. Based on the risk value of the port equipment node, the sensitivity level of the link, and the potential impact range of the port equipment node, the chain risk level is determined according to the preset chain risk classification rules. S5 determines local intervention candidate plans based on the risk warning level, implements corresponding adjustments to the work sequence, port equipment load, work rate, or backup plan, and records the results in real time. S6 records the implementation status of local interventions, changes in the status of port equipment, and the results of the local intervention plan, and writes them back to the port equipment's full life cycle archive.

2. The port equipment status linkage early warning method based on full lifecycle information association as described in claim 1, characterized in that, The process of establishing a full lifecycle archive for port equipment and uniformly associating it according to port equipment identification, operational stage, and time slice to form a multi-source contextual dataset for port equipment association is as follows: Each piece of port equipment is assigned a unique port equipment identifier, and this unique port equipment identifier is used as a unified association identifier for the entire lifecycle information of that port equipment. Link the factory parameters, installation information, historical maintenance records, operation records and fault logs corresponding to the unique port equipment identifier to form a full life cycle file for the port equipment; Real-time collection of environmental data, work plan data, and port equipment status data, combined with port equipment identification, work process, and time slice for unified correlation; The environmental data includes wind speed, visibility, tide level, and wave height; The operational plan data includes vessel berthing sequence, operational time, and port equipment load. The port equipment status data includes vibration frequency, temperature, mechanical power, and action response delay; Establish a unified data primary key structure, port equipment mapping relationship and operation link mapping relationship, and then, based on the operation plan data table, process status table and port equipment action record, label the port equipment at each moment with the current operation link; Establish a unified time-slice division rule, and perform time alignment processing on data with different collection frequencies according to the preset time granularity, so that environmental data, operation plan data and port equipment status data can establish a corresponding relationship within the same time slice; Generate unified association records, which include port equipment identifiers, time slice numbers, current operation stages, current environmental data, current operation plan data, and current port equipment status data. Based on these unified association records, a multi-source context dataset for port equipment association is formed.

3. The port equipment status linkage early warning method based on full lifecycle information association according to claim 1, characterized in that, The specific process for calculating the risk value of port equipment nodes based on dynamic weights is as follows: Under the current port equipment identification, operation link and time slice, the historical stable reference value is obtained based on the mean value of the historical stable reference data of the current port equipment vibration frequency, temperature, mechanical power and action response delay. The vibration frequency risk score, temperature risk score, mechanical power risk score and action response delay risk score are calculated by the difference between the current measured value and the historical stable reference value. Preset the basic weight values ​​for vibration frequency, temperature, mechanical power, and action response delay; By combining multi-source context datasets, the basic weight values ​​of vibration frequency, temperature, mechanical power and action response delay are dynamically adjusted to obtain the dynamic weights of vibration frequency, temperature, mechanical power and action response delay under the current port equipment identification, operation link and time slice. The risk scores for vibration frequency, temperature, mechanical power, and action response delay are multiplied by their corresponding dynamic weights for vibration frequency, temperature, mechanical power, and action response delay to calculate the port equipment node risk value for the current time slice and current operation stage.

4. The port equipment status linkage early warning method based on full lifecycle information association according to claim 1, characterized in that, The specific process for identifying key nodes and key operational steps is as follows: If the number of downstream port equipment of the current port equipment is greater than the preset threshold for the number of downstream port equipment, and there is no equivalent port equipment available, then it is determined to be a critical node. If the number of downstream port equipment of the current port equipment is less than or equal to the preset threshold for the number of downstream port equipment, or if the number of downstream port equipment of the current port equipment is greater than the preset threshold for the number of downstream port equipment and there is a substitute port equipment of the same type, then it is determined to be a non-critical node. Read the operational steps corresponding to each port equipment node in the operational chain diagram, and perform key statistics on the port equipment nodes included in each operational step; A work process is defined as a critical work process if it contains at least one critical node. If a certain work process does not contain any critical nodes, then that work process is classified as a non-critical work process.

5. The port equipment status linkage early warning method based on full lifecycle information association according to claim 1, characterized in that: Based on the historical co-occurrence records of anomalies in downstream port equipment or corresponding operational processes following anomalies in upstream port equipment, the historical anomaly co-occurrence ratio is calculated. Extract the preset abnormal co-occurrence threshold. If the historical abnormal co-occurrence ratio is greater than or equal to the abnormal co-occurrence threshold, it is determined that the abnormality of the upstream port equipment will be transmitted to the downstream port equipment. If the historical abnormal co-occurrence ratio is less than the abnormal co-occurrence threshold, it is determined that the abnormality of the upstream port equipment will not be transmitted to the downstream port equipment. The operation blockage impact record is a record of whether the effective propagation link can complete the operation on time after the downstream port equipment waits, stops, is rescheduled or interrupted due to abnormality or delay of upstream port equipment. The record is based on the quotient of the remaining operation volume in the effective propagation link and the current operation execution speed to obtain the estimated completion time. If the predicted completion time is less than or equal to the preset completion time in the case of job blockage, it is determined that the job blockage has not affected the completion of downstream jobs; if the predicted completion time is greater than the preset completion time, it is determined that the job blockage has affected the completion of downstream jobs. If there are backup port equipment, backup effective transmission links, or buffer measures, it is determined that there is downstream carrying capacity; if there are no backup port equipment, backup effective transmission links, or buffer measures, it is determined that there is no downstream carrying capacity. The sensitivity level of the link is determined based on historical anomaly co-occurrence patterns, operational congestion impact records, and downstream carrying capacity.

6. The port equipment status linkage early warning method based on full lifecycle information association according to claim 1, characterized in that, The specific process for determining the chain-like risk level is as follows: Read the average risk value of port equipment nodes in the historical stable operation phase, and compare the risk value of port equipment nodes in the current time slice with the average risk value of historical port equipment nodes. When the risk value of a port equipment node in the current time slice is less than the average historical risk value of a port equipment node, the risk value of the port equipment node is judged as low. When the risk value of a port equipment node in the current time slice is greater than or equal to the average risk value of a historical port equipment node, the risk value of the port equipment node is judged as high. When the link sensitivity level is medium sensitive, the port equipment node risk value is low, and the potential impact range is small, it is judged as a low link risk level. When the link sensitivity level is medium sensitive and the port equipment node risk value is high and the potential impact range is small, or when the link sensitivity level is high sensitive and the port equipment node risk value is low and the potential impact range is small, it is judged as a medium-link risk level. When the link sensitivity level is high sensitivity and the port equipment node risk value is high and the potential impact range is small, or the potential impact range is large, it is judged as a high link risk level. When multiple risk level criteria are met simultaneously within the same time frame, the final risk level is determined based on the principle of prioritizing higher-risk chain risk levels.

7. The port equipment status linkage early warning method based on full lifecycle information association according to claim 1, characterized in that, The specific process for establishing the risk warning level is as follows: Within the current time slice, read the risk value, chain risk level, and potential impact range of the port equipment node corresponding to the risk source port equipment node; When the chain risk level is low chain risk level, the risk warning level will be determined as low risk warning. When the chain risk level is medium chain risk level or high chain risk level, and the potential impact range is small, the risk warning level will be determined as medium risk warning. When the chain risk level is high and the potential impact is large, the risk warning level will be determined as a high-risk warning.

8. The port equipment status linkage early warning method based on full lifecycle information association according to claim 1, characterized in that, The specific process for determining local intervention candidate schemes based on risk warning levels is as follows: If a low-risk warning is triggered, a mild intervention will be implemented, and the candidate intervention plan will be determined as a rearrangement of the local operation sequence. If a medium-risk warning is triggered, a moderate intervention will be implemented, and the candidate intervention options will be port equipment load adjustment or operation rate adjustment. If a high-risk warning is triggered, a high level of intervention will be implemented, and the candidate local intervention options will be determined as port equipment load adjustment, operation rate adjustment, and switching to backup operation plan. The local operation sequence rearrangement adjusts the operation sequence of port equipment within the local effective propagation link range to bypass the current high-risk connection path or postpone the participation time of high-risk nodes. The port equipment load adjustment reduces the current operating load of the port equipment at the risk source or the affected downstream port equipment. The operation rate adjustment reduces the execution rate, handover frequency, or continuous operation intensity in the local effective propagation link. The backup operation plan switching occurs when backup port equipment or backup effective transmission links become available.

Images