Port equipment linkage early warning management method and system integrating hierarchical early warning rules

Abstract

The application provides a port equipment linkage early warning management method and system integrating hierarchical early warning rules, generates an allowed operation time window of a current berthing ship according to a remaining operation tonnage of the current berthing ship and a health level of a current port equipment component; if the allowed operation time window of the current berthing ship is less than the predicted operation duration, hierarchical early warning is triggered, and a linkage scheduling scheme of ship operation switching is output according to a current berth plan of the port and an equipment maintenance time window, with the goal of minimizing the risk probability of operation interruption and the expectation of exceeding the plan of the ship time in the port; after the ship operation in the linkage scheduling scheme is completed, whether the non-planned shutdown occurs and the shutdown duration are used to update the risk probability table under the corresponding health level, which is used for early warning threshold adjustment before the next ship operation. Based on the above scheme, the quantitative prediction of equipment life consumption can be realized, thereby improving the reliability of the port equipment linkage scheduling decision.

Description

Technical Field

[0001] This application relates to the field of port management technology, and more specifically, to a port equipment linkage early warning management method and system that integrates hierarchical early warning rules. Background Technology

[0002] Port equipment linkage refers to the process where, when a piece of port equipment faces the risk of unplanned shutdown due to deterioration in its health condition, the current vessel's operational tasks are switched to available equipment in other vacant berths to continue, while the original equipment enters the maintenance process.

[0003] Current technologies, after determining the health level of port equipment, typically only output qualitative conclusions such as "caution warnings," lacking quantitative means to map the health level to the remaining available workload. The historical deterioration rate of the equipment is not recorded or statistically analyzed, leaving maintenance personnel unable to know how much equipment lifespan is consumed for each ton of work completed at the current health level. Furthermore, there is no conversion relationship between the remaining working tons of the current vessel and the total remaining available lifespan of the equipment. This forces dispatchers to rely solely on experience to judge whether the equipment can safely complete the remaining work for the current vessel. Consequently, even if the equipment is at health level 2 or 3, operations may continue as planned until a sudden equipment failure forces a work stoppage, directly causing frequent unplanned downtime and uncontrollable vessel delays in port. Therefore, how to quantitatively predict equipment lifespan consumption to improve the reliability of port equipment coordinated dispatch decisions has become a major challenge for the industry. Summary of the Invention

[0004] This application provides a port equipment linkage early warning management method and system that integrates hierarchical early warning rules, which can realize quantitative prediction of equipment life consumption, thereby improving the reliability of port equipment linkage scheduling decisions.

[0005] Firstly, this application provides a port equipment linkage early warning management method integrating hierarchical early warning rules, including: Obtain the remaining operating tonnage and estimated operating time of currently berthed vessels, and simultaneously collect vibration signals from port equipment components; The effective value of vibration in the vibration signal is compared with the first and second warning thresholds of the port equipment to obtain the current health level of the port equipment components. Then, based on the remaining operating tonnage and the health level, a time window for continued operation of the currently berthed vessel is generated. If the allowed time window for continued operation is less than the expected operation duration, a tiered warning is triggered, and a coordinated scheduling scheme for vessel operation switching is output based on the port's current berth plan and equipment maintenance time window, with the goal of minimizing the probability of operation interruption risk and the expectation that the vessel's time in port will exceed the plan. After the vessel operation in the coordinated scheduling plan is completed, the risk probability table under the corresponding health level is updated by checking whether unplanned shutdowns actually occurred and the duration of the shutdowns, which is then used to adjust the early warning threshold before the next vessel operation.

[0006] In some embodiments, comparing the effective vibration value in the vibration signal with the first and second warning thresholds of the port equipment to obtain the current health level of the port equipment components specifically includes: The effective vibration value of port equipment components in good condition is used as the reference value; The benchmark value is set as a first warning threshold and a second warning threshold according to a preset ratio; The effective value of vibration in the vibration signal is compared with the first warning threshold and the second warning threshold in sequence to obtain the current health level of the port equipment components.

[0007] In some embodiments, generating the permitted continued operation time window for currently berthed vessels based on the remaining operating tonnage and the health level specifically includes: Extract the historical average degradation rate per unit operating ton of equipment under this health level from the equipment's historical maintenance records; The total expected lifespan of the equipment on the current vessel is determined based on the remaining operating tonnage and the average deterioration rate. The total lifespan is compared with the remaining usable lifespan of the equipment under the current health level, and then the total lifespan is converted into tons that can continue to operate. Based on the current real-time operational efficiency of the vessel, the permitted continued operating tonnage is mapped to a permitted continued operating time window.

[0008] In some embodiments, based on the port's current berth schedule and equipment maintenance time window, and with the goal of minimizing the probability of operational disruption and the expected time vessels spend in port exceeding the schedule, the output of a coordinated scheduling scheme for vessel operation switching specifically includes: Enumerate all available berths that can accept vessels waiting to be switched as candidate berths; Extract the estimated idle time and corresponding health level of available equipment for each candidate berth from the port's current berth plan; Calculate the probability of work interruption risk and the unexpected value of the ship's port time exceeding the plan based on each expected idle time and the health level of the corresponding available equipment; The probability of job interruption and the expected value are weighted and summed, and the candidate scheme with the smallest weighted value is selected as the output linkage scheduling scheme.

[0009] In some embodiments, updating the risk probability table for the corresponding health level based on whether an unplanned shutdown actually occurs and the duration of the shutdown specifically includes: After the joint scheduling plan is completed, record whether the original equipment experienced any unplanned downtime during the operation under the current health level. If so, record the actual downtime. Increment the total number of historical operations under the corresponding health level by one, and update the number of historical failures for that level based on whether a shutdown occurred, and then fill it into the risk probability table; Add the actual downtime to the downtime sample set under this health level, recalculate the average downtime, and update the corresponding field in the risk probability table.

[0010] In some embodiments, the remaining tonnage and estimated operation duration of currently berthed vessels are obtained from the operational digital sandbox.

[0011] In some embodiments, equipment vibration sensors are used to collect vibration signals from port equipment components.

[0012] Secondly, this application provides a port equipment linkage early warning management system integrating hierarchical early warning rules, including: The acquisition module is used to acquire the remaining working tonnage and estimated working time of currently berthed vessels, and at the same time collect vibration signals of port equipment components; The processing module is used to compare the effective value of vibration in the vibration signal with the first warning threshold and the second warning threshold of the port equipment to obtain the current health level of the port equipment components, and then generate the allowable continued operation time window of the currently berthed vessel based on the remaining operating tonnage and the health level. The processing module is also used to trigger a graded early warning if the allowed continued operation time window is less than the expected operation time, and output a linkage scheduling scheme for ship operation switching based on the port's current berth plan and equipment maintenance time window, with the goal of minimizing the probability of operation interruption risk and the expectation that the ship's time in port exceeds the plan. The execution module is used to update the risk probability table under the corresponding health level after the ship operation in the linkage scheduling plan is completed, based on whether unplanned shutdowns actually occurred and the duration of shutdowns, for adjusting the early warning threshold before the next ship operation.

[0013] Thirdly, this application provides a computer device, which includes a memory and a processor. The memory is used to store a computer program, and the processor is used to call and run the computer program from the memory, so that the computer device executes the port equipment linkage early warning management method with integrated hierarchical early warning rules described above.

[0014] Fourthly, this application provides a computer-readable storage medium storing instructions or code that, when executed on a computer, cause the computer to implement the aforementioned port equipment linkage early warning management method with integrated hierarchical early warning rules.

[0015] The technical solutions provided by the embodiments disclosed in this application have the following beneficial effects: This application provides a port equipment linkage early warning management method and system integrating hierarchical early warning rules. The method acquires the remaining operating tonnage and estimated operating time of currently berthed vessels, while simultaneously collecting vibration signals from port equipment components. The effective vibration value in the vibration signals is compared with the first and second early warning thresholds of the port equipment to obtain the current health level of the port equipment components. Then, based on the remaining operating tonnage and the health level, an allowable continued operation time window for currently berthed vessels is generated. If the allowable continued operation time window is less than the estimated operating time, a hierarchical early warning is triggered. Based on the port's current berth plan and equipment maintenance time window, and with the goal of minimizing the probability of operation interruption and the expectation of vessels exceeding the planned time in port, a linkage scheduling scheme for vessel operation switching is output. After the vessel operation according to the linkage scheduling scheme is completed, the risk probability table under the corresponding health level is updated based on whether unplanned shutdowns actually occurred and the shutdown duration, for use in adjusting the early warning threshold before the next vessel operation.

[0016] Therefore, in this application, after the vessel operation of the coordinated scheduling scheme is completed, the risk probability table under the corresponding health level is updated by whether unplanned downtime actually occurs and the downtime duration, which is used to adjust the early warning threshold before the next vessel operation. First, by determining the allowed continued operation time window, the upper limit of the equipment's safe support time for the current vessel operation under the current health level can be obtained. This transforms the equipment health status from a qualitative description into a time constraint bound to the operation task, so that the early warning triggering condition no longer depends on human experience. When the allowed continued operation time window is less than the expected operation time, it is automatically identified that the current equipment cannot safely complete the operation, thereby initiating the scheduling process in advance. This avoids resource waste caused by premature switching due to misjudgment or operation interruption caused by late switching. The quantitative time window provides a clear decision premise for the subsequent generation of coordinated scheduling schemes, making the scheduling process based on the objective measurement of equipment life consumption. Then, by determining the coordinated scheduling scheme, the risk of operation interruption can be obtained. By integrating the optimal operation switching execution plan with ship delays, the reliability of scheduling decisions under multi-objective constraints is improved. After triggering a tiered warning, scheduling faces the choice of multiple candidate berths and available equipment combinations. The equipment health levels vary under different schemes, and their corresponding unplanned downtime probabilities and average downtime durations are also different. At the same time, the expected idle time of candidate berths directly affects the ship waiting time, so that scheduling decisions no longer rely on the immediate subjective judgment of scheduling personnel, but are based on the joint calculation of historical fault statistics and current plan data, which has reproducibility and traceability. The collaborative optimization of the probability of operation interruption risk and the unexpected avoids the extreme situation of simply pursuing low risk and resulting in long waiting times or simply pursuing short waiting times and accepting high-risk equipment. This makes the entire linkage process have a clear operation path and quantifiable expected effects. In summary, based on the above scheme, quantitative prediction of equipment life consumption can be achieved, thereby improving the reliability of port equipment linkage scheduling decisions. Attached Figure Description

[0017] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0018] Figure 1 This is an exemplary flowchart of a port equipment linkage early warning management method based on integrated hierarchical early warning rules, according to some embodiments of this application; Figure 2 This is a flowchart illustrating the process of determining a coordinated scheduling scheme according to some embodiments of this application; Figure 3This is a schematic diagram of the structure of a port equipment linkage early warning management system with integrated hierarchical early warning rules, as shown in some embodiments of this application; Figure 4 This is a schematic diagram of the structure of a computer device for implementing a port equipment linkage early warning management method with integrated hierarchical early warning rules, according to some embodiments of this application. Detailed Implementation

[0019] To better understand the technical solution of this application, the technical solution of this application will be described in detail below with reference to the accompanying drawings and specific embodiments.

[0020] refer to Figure 1 The figure is an exemplary flowchart of a port equipment linkage early warning management method integrating hierarchical early warning rules, according to some embodiments of this application. The port equipment linkage early warning management method integrating hierarchical early warning rules mainly includes the following steps: In step 101, the remaining working tonnage and estimated working time of the currently berthed vessel are obtained, and vibration signals of port equipment components are collected.

[0021] It should be noted that in this application, the remaining tonnage and estimated operation time of currently berthed vessels are obtained from the digital operation sand table; vibration signals of port equipment components are collected using equipment vibration sensors; the digital operation sand table is the output data set of a digital information platform used to integrate and dynamically display the operation plans, real-time operation progress, and equipment status of all vessels in the port; the remaining tonnage is a value used to represent the amount of cargo that has not yet been loaded or unloaded by currently berthed vessels; the estimated operation time is a value representing the estimated time required to complete all remaining tonnage of currently berthed vessels under the current operation plan; the equipment vibration sensor is a measuring device used to sense the vibration signals of port equipment components and convert them into electrical signals; and the effective vibration value is a statistical quantity characterizing the vibration energy level of port equipment components.

[0022] In practice, firstly, port operations dispatchers open the query interface of the digital operations sand table, enter the vessel identification number of the currently berthed vessel, and the digital operations sand table returns the planned total tonnage, the tonnage already completed, and the planned departure time of the vessel based on the identification number. The planned total tonnage is subtracted from the tonnage already completed, and the result is taken as the remaining operating tonnage. The calculated result of subtracting the current time from the planned departure time is taken as the estimated operating time. Then, a vibration sensor is installed on the outer surface of each key component of the port equipment. The output of the sensor is connected to a data acquisition unit. The data acquisition unit is started to collect the voltage signal output by the vibration sensor at a sampling frequency of 1000 times per second as the vibration signal of the port equipment component. Each continuous sampling period is 10 seconds. The arithmetic mean is calculated by squaring all voltage sampling values ​​in the vibration signal within the 10-second sampling period, and then the square root of the arithmetic mean is taken as the effective vibration value.

[0023] In step 102, the effective value of vibration in the vibration signal is compared with the first warning threshold and the second warning threshold of the port equipment to obtain the current health level of the port equipment components, and then the allowable continued operation time window of the currently berthed vessel is generated based on the remaining operating tonnage and the health level.

[0024] In some embodiments, comparing the effective vibration value in the vibration signal with the first and second warning thresholds of the port equipment to obtain the current health level of the port equipment components can be achieved through the following steps: The effective vibration value of port equipment components in good condition is used as the reference value; The benchmark value is set as a first warning threshold and a second warning threshold according to a preset ratio; The effective value of vibration in the vibration signal is compared with the first warning threshold and the second warning threshold in sequence to obtain the current health level of the port equipment components.

[0025] It should be noted that, in this application, the reference value is the effective vibration value used as a reference baseline for setting the warning threshold; the preset ratio is a fixed multiple used to amplify the reference value to different warning thresholds; the first warning threshold is the critical value of the effective vibration value used to distinguish between health level 1 and 2; the second warning threshold is the critical value of the effective vibration value used to distinguish between health level 2 and 3; the health level is a level used to indicate the current availability of port equipment components, and is divided into three levels: level 1, level 2, and level 3, where level 1 represents good condition, level 2 represents condition of caution, and level 3 represents condition of warning.

[0026] In practice, firstly, on the first working day after a port equipment component is put into new use, it is confirmed that the component has no abnormal noise and all operating parameters are within the factory specifications. At this point, the component is considered to be in good condition. The vibration sensor installed on the component's outer shell continuously collects voltage signals for 10 seconds. An effective vibration value is calculated using the square root of the squared average. This effective vibration value is read from the data acquisition unit's storage unit and used as a baseline value. Then, preset ratios are set to a first multiple of 1.5 and a second multiple of 2.5. The product of the baseline value multiplied by the first multiple of 1.5 is used as the first warning threshold. The product of the baseline value multiplied by the second multiple of 2.5 is used as the second warning threshold. The first and second warning thresholds are written into the corresponding fields in the port equipment parameter configuration table. The first and second warning thresholds can be adjusted based on the equipment's historical maintenance records. The data is dynamically adjusted. Finally, the first and second warning thresholds are read from the port equipment parameter configuration table, and the current effective vibration value is obtained from the real-time output of the data acquisition device. The effective vibration value is compared with the first warning threshold. If the effective vibration value is less than or equal to the first warning threshold, the health level is determined to be level 1. If the effective vibration value is greater than the first warning threshold, the effective vibration value is compared with the second warning threshold. In the second comparison, if the effective vibration value is less than or equal to the second warning threshold, the health level is determined to be level 2. If the effective vibration value is greater than the second warning threshold, the health level is determined to be level 3. The current health level of the port equipment component can be obtained through the above method.

[0027] In some embodiments, generating the permitted continued operation time window for currently berthed vessels based on the remaining operating tonnage and the health level can be achieved through the following steps: Extract the historical average degradation rate per unit operating ton of equipment under this health level from the equipment's historical maintenance records; The total expected lifespan of the equipment on the current vessel is determined based on the remaining operating tonnage and the average deterioration rate. The total lifespan is compared with the remaining usable lifespan of the equipment under the current health level, and then the total lifespan is converted into tons that can continue to operate. Based on the current real-time operational efficiency of the vessel, the permitted continued operating tonnage is mapped to a permitted continued operating time window.

[0028] It should be noted that, in this application, the equipment historical maintenance record is an electronic spreadsheet file used to store the maintenance time of each port equipment maintenance, the total tonnage worked before maintenance, and the changes in health level after maintenance; the unit working ton is the basic unit used to measure the amount of work corresponding to the port equipment completing 1 ton of cargo loading and unloading operations; the historical average deterioration rate is a statistical average value used to represent the amount of life consumed by the port equipment for completing 1 ton of work under a certain health level; the remaining working ton is a value used to represent the amount of cargo loading and unloading that the currently berthed vessel has not yet completed; the total expected lifespan consumed is a value used to represent the total amount of equipment lifespan that the port equipment is expected to consume during the remaining operations of the current vessel; the total remaining usable lifespan is a value used to represent the total amount of lifespan that the port equipment can continue to use from the current moment until it is expected to be downgraded or fail under the current health level; the allowed continuing working ton is a value used to represent the upper limit of the tonnage of cargo loading and unloading that the port equipment can safely use for the current vessel under the constraints of the current health level; the real-time operating efficiency is a value used to represent the tonnage of cargo loading and unloading actually completed by the port equipment per unit time on the current vessel; and the allowed continuing operating time window is a value used to represent the upper limit of the operating time that the port equipment can safely use for the current vessel under the constraints of the current health level.

[0029] In practice, firstly, all records in the equipment's historical maintenance records whose health level field equals the current health level are selected. For each selected record, the total number of working tons before maintenance and the total number of working tons during the last maintenance are read. The difference between the two total working tons is taken as the total number of working tons completed during the current health level's duration. Next, the total equipment lifespan consumed before maintenance and the total equipment lifespan consumed during the last maintenance are read. The difference between the two total lifespan consumption is taken as the total lifespan consumed during the current health level's duration. The total lifespan consumed is then divided by... The degradation rate per unit operating ton for each record is obtained based on the total operating tonnage. The degradation rates per unit operating ton for all selected records are summed and divided by the total number of records. This sum is used as the historical average degradation rate, which is then used as the average lifespan consumed per ton of operation completed by the equipment at that health level. If the historical operating sample size for a given health level is insufficient, the degradation rate of the adjacent health level is used as a substitute. Next, the remaining operating tonnage of the currently berthed vessel is read from the digital operational sandbox. This remaining operating tonnage is multiplied by the historical average degradation rate. The product result is used as the estimated total lifetime consumed, which is then used as the estimated equipment lifetime required to complete the remaining operations on the current vessel. Next, the total remaining usable lifetime corresponding to the current health level is extracted from the equipment's historical maintenance records. The estimated lifetime consumed is compared with the total remaining usable lifetime. If the estimated lifetime consumed is less than or equal to the total remaining usable lifetime, the remaining working tons are directly used as the allowed continuing working tons. If the estimated lifetime consumed is greater than the total remaining usable lifetime, the remaining usable lifetime is divided by the historical average deterioration rate, and the result is used as the allowed continuing working tons. This allowed continuing working tons serve as the upper limit of the actual working tons that the equipment can allocate to the current vessel under the current health level constraints. Finally, the real-time operating efficiency of the current vessel is read from the equipment operation console. This efficiency value is equal to the cumulative working tons completed in the past 10 minutes divided by 10 minutes. The allowed continuing working tons are divided by the real-time operating efficiency, and the result is used as the allowed continuing operating time window, in minutes. This allowed continuing operating time window serves as the upper limit of the continuous operating time for the equipment on the current vessel under the current health level constraints.

[0030] In step 103, if the allowed continued operation time window is less than the expected operation duration, a tiered warning is triggered, and a coordinated scheduling scheme for vessel operation switching is output based on the port's current berth plan and equipment maintenance time window, with the goal of minimizing the probability of operation interruption risk and the expectation that the vessel's time in port exceeds the plan.

[0031] It should be noted that in this application, after calculating the allowed continued operation time window and the expected operation duration for the currently berthed vessel, the value of the allowed continued operation time window is compared with the value of the expected operation duration. If the allowed continued operation time window is greater than or equal to the expected operation duration, it is determined that the current health status of the port equipment components is sufficient to support the vessel to complete all remaining operations as originally planned, and no warning is triggered. If the allowed continued operation time window is less than the expected operation duration, it is determined that the current port equipment components have a high risk of unplanned downtime before completing the remaining operations of the vessel, and a graded warning is triggered: a warning triggered when the health level is 1 is recorded as a Level 1 warning, a warning triggered when the health level is 2 is recorded as a Level 2 warning, and a warning triggered when the health level is 3 is recorded as a Level 3 warning. The triggering result is sent to the port operation dispatcher in the form of a pop-up window, and the warning information is written into the warning log table. The graded warning is used as a trigger signal to activate the linkage dispatching scheme.

[0032] In some embodiments, based on the port's current berth schedule and equipment maintenance time windows, and with the goal of minimizing the probability of operational disruption and the expected time vessels spend in port exceeding the schedule, a coordinated scheduling scheme for vessel operation switching is output, with reference to... Figure 2 The diagram is a flowchart illustrating the process of determining a coordinated scheduling scheme in some embodiments of this application. In this embodiment, the coordinated scheduling scheme can be determined using the following steps: In step 1031, all available berths that can receive the vessel to be switched are enumerated as candidate berths; In step 1032, the estimated idle time and the health level of the corresponding available equipment for each candidate berth are extracted from the port's current berth plan; In step 1033, the probability of operation interruption and the expected value of the ship's port time exceeding the plan are calculated based on each expected idle time and the health level of the corresponding available equipment. In step 1034, the probability of job interruption risk and the value exceeding the expected value are weighted and summed, and the candidate scheme with the smallest weighted value is selected as the output linkage scheduling scheme.

[0033] It should be noted that, in this application, "vacant berth" refers to a berth where no vessel is currently berthing or where the currently berthed vessel is about to complete its operations and depart; "candidate berth" refers to each berth in the set of alternative berths for which a vessel to be switched berthing may be transferred; "current berth plan" is a table recording the estimated vessel arrival time, estimated berthing time, estimated departure time, and corresponding available equipment number for all berths in the port after the current moment; "estimated vacancy time" is a numerical value representing the time from the current moment until a berth is completely vacant and available for the next vessel to berth; and "available equipment" refers to the equipment available at a given berth. The port equipment currently in normal working condition at the berth and available for ship operations; the probability of operation interruption risk is a numerical value used to represent the possibility that, after a ship to be switched is transferred to a candidate berth, the available equipment at the candidate berth will experience unplanned downtime before the ship's operations are completed; the ship's port time exceeding the plan is a numerical value used to represent the difference between the actual port time and the originally planned port time; the value exceeding expectations is a statistical average predicted amount of the ship's port time exceeding the plan; the coordinated scheduling scheme is used to guide the ship to be switched from the current berth to the target berth and specify the operation switching execution plan for the available equipment at the target berth.

[0034] In practice, firstly, the current occupancy status table of all berths in the port is read. For each berth, it is checked whether there are currently no vessels berthed there, or whether the estimated departure time of the currently berthed vessel is earlier than the current time plus 30 minutes. Berths that meet either of these conditions are marked as available berths ready to receive vessels awaiting switching. All berth numbers marked as available berths are listed one by one, and each berth in the list is treated as a candidate berth. This candidate berth list serves as the set of alternative solutions for subsequent steps. Secondly, the current berth plan table of the port is opened, and the berth numbers in the candidate berth list are searched row by row. For each candidate berth, the current occupancy status of that berth is read. The estimated departure time of the preceding vessel is used as the estimated idle time. The available equipment number corresponding to that berth is read from the same row, and the current health level of that equipment is read from the equipment health level record table based on that equipment number. This yields the estimated idle time and the corresponding health level of the available equipment. Then, for each candidate berth, the historical fault frequency corresponding to the health level of the available equipment at that candidate berth is extracted from the equipment historical fault statistics table. This frequency equals the total number of historical faults under that health level divided by the total number of historical operations under that health level. The historical fault frequency is used as the probability of operation interruption risk. The estimated idle time is subtracted from the current time, and the difference is used as the probability of operation interruption risk. The waiting time is calculated by retrieving the remaining planned operating time of the vessel from its operational schedule. This waiting time is then added to the vessel's estimated operating time at the candidate berth, and the remaining planned operating time is subtracted. The difference is taken as the single-time excess value. The average downtime corresponding to the health level of available equipment at the candidate berth is extracted from the historical equipment downtime record table. This single-time excess value is multiplied by the probability of operational interruption risk, and then added to the average downtime multiplied by the probability of operational interruption risk. The result is taken as the excess-expected value. This yields both the probability of operational interruption risk and the excess-expected value of the vessel's port time exceeding the plan. Finally, the weights used in the weighted summation are determined by the port operation strategy. The module dynamically provides the weighting based on the current time period (e.g., peak or off-peak operation). The default weighting for the probability of operation interruption is 0.6, and the default weighting for exceeding the expected value is 0.4. For each candidate berth, the probability of operation interruption is multiplied by 0.6, and the expected value is multiplied by 0.4. The two products are added together to obtain the weighting value for the candidate berth. The weighting values ​​of all candidate berths are compared one by one, and the candidate berth with the smallest weighting value is found. The berth number, expected idle time, available equipment number, and available equipment health level of the candidate berth are combined into an operation switching execution plan. This operation switching execution plan is used as the output linkage scheduling scheme.

[0035] In step 104, after the ship operation of the coordinated scheduling scheme is completed, the risk probability table under the corresponding health level is updated by whether unplanned shutdowns actually occur and the duration of shutdowns, which is used to adjust the early warning threshold before the next ship operation.

[0036] In some embodiments, updating the risk probability table for the corresponding health level based on whether an unplanned shutdown actually occurs and the duration of the shutdown can be achieved using the following steps: After the joint scheduling plan is completed, record whether the original equipment experienced any unplanned downtime during the operation under the current health level. If so, record the actual downtime. Increment the total number of historical operations under the corresponding health level by one, and update the number of historical failures for that level based on whether a shutdown occurred, and then fill it into the risk probability table; Add the actual downtime to the downtime sample set under this health level, recalculate the average downtime, and update the corresponding field in the risk probability table.

[0037] It should be noted that in this application, after the joint scheduling scheme is completed, the port operation monitoring station continuously tracks the original equipment from the start of operation to the end of operation. If the original equipment stops operating unexpectedly during the operation under this health level and cannot automatically recover within 2 minutes, it is determined that an unplanned shutdown has occurred. At this time, the shutdown start time and recovery time are recorded, and the actual shutdown duration is obtained by subtracting the shutdown start time from the recovery time. If the above situation does not occur throughout the process, the actual shutdown duration is recorded as 0. Subsequently, the total number of historical operations corresponding to this health level is read from the risk probability table, and the value is incremented by 1 and written back to the same field. The number of historical faults corresponding to this health level is read. If an unplanned shutdown has occurred, the number of historical faults is incremented by 1 and written back; otherwise, the original value remains unchanged. Divide the updated number of historical failures by the updated total number of historical operations, and fill the corresponding cell in the risk probability table with the result as the new risk probability. At the same time, add the actual downtime of the current operation to the sample set of downtime under this health level, calculate the arithmetic mean of all downtime in the sample set, and update the corresponding field in the risk probability table with the result as the new average downtime. This completes the closed-loop update of the risk probability table and provides a basis for the next adjustment of the warning threshold under the same health level.

[0038] Furthermore, in another aspect of this application, in some embodiments, this application provides a port equipment linkage early warning management system integrating hierarchical early warning rules, referencing... Figure 3 The figure is a schematic diagram of the structure of a port equipment linkage early warning management system with integrated hierarchical early warning rules according to some embodiments of this application. The port equipment linkage early warning management system with integrated hierarchical early warning rules includes: an acquisition module 201, a processing module 202, and an execution module 203, which are described below: The acquisition module 201 in this application is mainly used to acquire the remaining operating tonnage and estimated operating time of the currently berthed vessel, and at the same time to collect vibration signals of port equipment components. Processing module 202, in this application, is used to compare the effective value of vibration in the vibration signal with the first warning threshold and the second warning threshold of the port equipment to obtain the current health level of the port equipment components, and then generate the allowable continued operation time window of the currently berthed vessel based on the remaining operating tonnage and the health level. It should be noted that the processing module 202 is also used to trigger a graded warning if the allowed continued operation time window is less than the expected operation time, and output a linkage scheduling scheme for ship operation switching based on the port's current berth plan and equipment maintenance time window, with the goal of minimizing the probability of operation interruption risk and the expectation that the ship's time in port exceeds the plan. The execution module 203 in this application is mainly used to update the risk probability table under the corresponding health level after the ship operation of the linkage scheduling scheme is completed, based on whether unplanned shutdowns actually occur and the shutdown duration, for adjusting the early warning threshold before the next ship operation.

[0039] The foregoing detailed examples of the port equipment linkage early warning management method and system with integrated hierarchical early warning rules provided in the embodiments of this application. It is understood that the corresponding apparatus, in order to achieve the above functions, includes hardware structures and / or software modules corresponding to the execution of each function. Those skilled in the art should readily recognize that, in conjunction with the units and algorithm steps of the various examples described in the embodiments disclosed herein, this application can be implemented in hardware or a combination of hardware and computer software. Whether a function is executed in hardware or by computer software driving hardware depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0040] In some embodiments, this application also provides a computer device, the computer device including a memory and a processor, the memory for storing a computer program, and the processor for calling and running the computer program from the memory, so that the computer device executes the port equipment linkage early warning management method with integrated hierarchical early warning rules described above.

[0041] In some embodiments, reference Figure 4 The dashed lines in the figure indicate that the unit or module is optional. This figure is a structural schematic diagram of a computer device for implementing a port equipment linkage early warning management method with integrated hierarchical early warning rules, according to an embodiment of this application. The port equipment linkage early warning management method with integrated hierarchical early warning rules described in the above embodiments can be... Figure 4The computer device shown is used to implement this, and the computer device includes at least one processor 301, a memory 302 and at least one communication unit 305. The computer device may be a terminal device, a server or a chip.

[0042] Processor 301 can be a general-purpose processor or a special-purpose processor. For example, processor 301 can be a central processing unit (CPU), which can be used to control computer devices, execute software programs, and process data from software programs. The computer device may also include a communication unit 305 for inputting (receiving) and outputting (transmitting) signals.

[0043] For example, the computer device may be a chip, and the communication unit 305 may be the input and / or output circuit of the chip, or the communication unit 305 may be the communication interface of the chip, which may be a component of a terminal device, network device or other device.

[0044] For example, the computer device may be a terminal device or a server, and the communication unit 305 may be a transceiver of the terminal device or the server, or the communication unit 305 may be a transceiver circuit of the terminal device or the server.

[0045] The computer device may include one or more memories 302 storing a program 304. The program 304 can be executed by a processor 301 to generate instructions 303, causing the processor 301 to execute the method described in the above method embodiments according to the instructions 303. Optionally, the memory 302 may also store data (such as a target audit model). Optionally, the processor 301 may also read data stored in the memory 302, which may be stored at the same storage address as the program 304, or it may be stored at a different storage address than the program 304.

[0046] The processor 301 and memory 302 can be configured separately or integrated together, for example, integrated on the system on chip (SOC) of the terminal device.

[0047] It should be understood that each step of the above method embodiment can be completed by hardware logic circuits or software instructions in the processor 301. The processor 301 can be a CPU, a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA), or other programmable logic devices, such as discrete gate, transistor logic devices, or discrete hardware components.

[0048] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0049] For example, in some embodiments, this application also provides a computer-readable storage medium storing instructions or code that, when executed on a computer, cause the computer to implement the above-described port equipment linkage early warning management method with integrated hierarchical early warning rules.

[0050] Although preferred embodiments of this application have been described, those skilled in the art, upon learning the basic inventive concept, can make other changes and modifications to these embodiments. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments as well as all changes and modifications falling within the scope of this application.

[0051] Obviously, those skilled in the art can make various modifications and variations to this application without departing from the spirit and scope of this application. Therefore, if such modifications and variations fall within the scope of the claims of this application and their equivalents, this application also intends to include such modifications and variations.

Claims

1. A port equipment linkage early warning management method integrating hierarchical early warning rules, characterized in that, Includes the following steps: Obtain the remaining operating tonnage and estimated operating time of currently berthed vessels, and simultaneously collect vibration signals from port equipment components; The effective value of vibration in the vibration signal is compared with the first and second warning thresholds of the port equipment to obtain the current health level of the port equipment components. Then, based on the remaining operating tonnage and the health level, a time window for continued operation of the currently berthed vessel is generated. If the allowed time window for continued operation is less than the expected operation duration, a tiered warning is triggered, and a coordinated scheduling scheme for vessel operation switching is output based on the port's current berth plan and equipment maintenance time window, with the goal of minimizing the probability of operation interruption risk and the expectation that the vessel's time in port will exceed the plan. After the vessel operation is completed in the joint scheduling scheme, the risk probability table under the corresponding health level is updated by checking whether unplanned shutdowns actually occurred and the duration of the shutdowns, which is used to adjust the early warning threshold before the next vessel operation.

2. The method as described in claim 1, characterized in that, The effective value of vibration in the vibration signal is compared with the first and second warning thresholds of the port equipment to obtain the current health level of the port equipment components, specifically including: The effective vibration value of port equipment components in good condition is used as the reference value; The benchmark value is set as a first warning threshold and a second warning threshold according to a preset ratio; The effective value of vibration in the vibration signal is compared with the first warning threshold and the second warning threshold in sequence to obtain the current health level of the port equipment components.

3. The method as described in claim 1, characterized in that, The process of generating the permitted continued operation time window for currently berthed vessels based on the remaining operating tonnage and the health level specifically includes: Extract the historical average degradation rate per unit operating ton of equipment under this health level from the equipment's historical maintenance records; The total expected lifespan of the equipment on the current vessel is determined based on the remaining operating tonnage and the average deterioration rate. The total lifespan is compared with the remaining usable lifespan of the equipment under the current health level, and then the total lifespan is converted into tons that can continue to operate. Based on the current real-time operational efficiency of the vessel, the permitted continued operating tonnage is mapped to a permitted continued operating time window.

4. The method as described in claim 1, characterized in that, Based on the port's current berth schedule and equipment maintenance time window, and with the goal of minimizing the probability of operational disruption and the expected time vessels spend in port exceeding the plan, the following coordinated scheduling scheme for vessel operation switching is output: Enumerate all available berths that can accept vessels waiting to be switched as candidate berths; Extract the estimated idle time and corresponding health level of available equipment for each candidate berth from the port's current berth plan; Calculate the probability of work interruption risk and the unexpected value of the ship's port time exceeding the plan based on each expected idle time and the health level of the corresponding available equipment; The probability of job interruption and the expected value are weighted and summed, and the candidate scheme with the smallest weighted value is selected as the output linkage scheduling scheme.

5. The method as described in claim 1, characterized in that, The risk probability table for the corresponding health level is updated based on whether unplanned downtime actually occurs and the duration of downtime. Specifically, this includes: After the joint scheduling plan is completed, record whether the original equipment experienced any unplanned downtime during the operation under the current health level. If so, record the actual downtime. Increment the total number of historical operations under the corresponding health level by one, and update the number of historical failures for that level based on whether a shutdown occurred, and then fill it into the risk probability table; Add the actual downtime to the downtime sample set under this health level, recalculate the average downtime, and update the corresponding field in the risk probability table.

6. The method as described in claim 1, characterized in that, Obtain the remaining tonnage and estimated operation time of currently berthed vessels from the operational digital sand table.

7. The method as described in claim 1, characterized in that, Vibration signals of port equipment components are collected using equipment vibration sensors.

8. A port equipment linkage early warning management system integrating hierarchical early warning rules, characterized in that, include: The acquisition module is used to acquire the remaining working tonnage and estimated working time of currently berthed vessels, and at the same time collect vibration signals of port equipment components; The processing module is used to compare the effective value of vibration in the vibration signal with the first warning threshold and the second warning threshold of the port equipment to obtain the current health level of the port equipment components, and then generate the allowable continued operation time window of the currently berthed vessel based on the remaining operating tonnage and the health level. The processing module is also used to trigger a graded early warning if the allowed continued operation time window is less than the expected operation time, and output a linkage scheduling scheme for ship operation switching based on the port's current berth plan and equipment maintenance time window, with the goal of minimizing the probability of operation interruption risk and the expectation that the ship's time in port exceeds the plan. The execution module is used to update the risk probability table under the corresponding health level after the ship operation in the linkage scheduling plan is completed, based on whether unplanned shutdowns actually occurred and the shutdown duration, for adjusting the early warning threshold before the next ship operation.

9. A computer device, characterized in that, The computer device includes a memory and a processor. The memory is used to store computer programs, and the processor is used to call and run the computer programs from the memory, so that the computer device executes the port equipment linkage early warning management method of integrated hierarchical early warning rules as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores instructions or code that, when executed on a computer, cause the computer to implement the port equipment linkage early warning management method with integrated hierarchical early warning rules as described in any one of claims 1 to 7.

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