Method and system for automated assessment of a yard crane, yard crane automation system and yard crane

Abstract

The application provides a yard crane automation evaluation method and system, an automation system and a yard crane. The method comprises: obtaining yard crane operation data, wherein the yard crane operation data is data generated in the yard crane automation operation process; generating index data corresponding to each preset index item according to the yard crane operation data, wherein the index item is an item representing the yard crane automation operation efficiency; and outputting the index data corresponding to each index item, so that factors measuring the yard crane automation performance can be processed according to different index items, i.e. the factors measuring the yard crane automation performance are measured from multiple angles, to solve the technical problem that the yard crane automation performance cannot be accurately measured by relying on manual experience in the prior art, and thus the factors affecting the yard crane operation efficiency are not easy to be found.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of automated yard crane technology, in particular to a yard crane automation evaluation method, device, controller, system and equipment. BACKGROUND

[0002] With the gradual use of automated wharfs, automation control systems have gradually become an important technology in the port industry. The automation control system not only ensures the safety and comfort of the driver in the remote control room to control the automated equipment, reduces the work intensity, and improves the working environment, but also improves the port production efficiency and reduces the operating cost. The automated yard crane is the main equipment for wharf yard operation. At present, the statistical analysis of the operation results of the user is mainly based on manual processing or the experience of the driver, and the factors affecting the operation efficiency cannot be accurately known to make correct evaluation. SUMMARY

[0003] Therefore, the embodiments of the present application are dedicated to providing a yard crane automation evaluation method, system, automation system and yard crane to solve the technical problem that the yard crane automation performance cannot be accurately measured by relying on manual experience in the prior art, and the factors affecting the operation efficiency of the yard crane are not easy to be found.

[0004] In a first aspect, the present application provides a yard crane automation evaluation method, which comprises: acquiring yard crane operation data, wherein the yard crane operation data is data generated in the yard crane automation operation process;

[0005] According to the yard crane operation data, index data corresponding to each preset index item is generated, wherein the index item is a project representing the yard crane automation operation efficiency;

[0006] The index data corresponding to each index item is output and displayed.

[0007] Further, the index item includes displacement condition, abnormal condition, waiting condition, box loading condition, operation mode and task identification.

[0008] Further, if the index item is displacement condition, the index data corresponding to the displacement condition is generated according to the yard crane operation data, which includes:

[0009] According to the displacement-related data in the yard crane operation data, it is determined whether displacement occurs;

[0010] If displacement occurs, a displacement data is added, wherein the displacement data includes the displacement mileage and coordinates at the start time;

[0011] If no displacement occurs, the displacement is ended, and the displacement mileage and coordinates at the end time are recorded.

[0012] Furthermore, if the indicator item is an abnormal situation, then based on the yard bridge operation data, indicator data corresponding to the abnormal situation is generated, including:

[0013] Retrieve the previous abnormal data;

[0014] The data related to the abnormal situation currently obtained from the bridge operation data is compared with the previous abnormal data.

[0015] If a new exception code is added, a new exception record will be added.

[0016] If the exception code disappears, then the time when the exception code disappeared is updated to the exception end time.

[0017] Furthermore, if the indicator item is a waiting status, then based on the yard crane operation data, indicator data corresponding to the waiting status is generated, including:

[0018] Retrieve the previous pending data;

[0019] The waiting-related data currently obtained from the bridge operation data is compared with the previous waiting data.

[0020] If a new wait code is added, a new wait record will be created.

[0021] If the waiting code disappears, then update the time when the waiting code disappeared to the waiting end time.

[0022] Furthermore, if the indicator item is the caisson landing status, then based on the yard crane operation data, indicator data corresponding to the caisson landing status is generated, including:

[0023] Based on the data related to caisson placement in the bridge operation data, determine whether the caisson grabbing / releasing has started;

[0024] If the grab / place box begins, determine whether the previous box-grabbing process has ended;

[0025] If the previous box placement ends, a new box placement message is added;

[0026] If the previous item's box placement has not ended, then the previous item's box placement information is terminated;

[0027] If the grab / place box has not started, update the current box information.

[0028] Furthermore, if the indicator item is a work mode, then based on the yard crane work data, indicator data corresponding to the work mode is generated, including:

[0029] Based on the data related to the operation mode in the bridge operation data, determine whether the previous operation mode has ended;

[0030] If the above-mentioned operation mode ends, then determine whether it is manual mode;

[0031] If it is in manual mode, it checks whether there were any abnormalities within the set time period prior to this.

[0032] If an anomaly is found, a new manual intervention record for the anomaly will be added.

[0033] If no abnormality is found, add a new normal manual intervention record;

[0034] If it is not in manual mode, add a new job mode information;

[0035] If the previous job mode has not ended, then update the end information of the previous job mode.

[0036] Furthermore, if the indicator item is a task identifier, then based on the bridge operation data, indicator data corresponding to the task identifier is generated, including:

[0037] Based on the data related to the task identifier in the bridge operation data, determine whether there is a previous task; if there is a previous task, then end the previous task.

[0038] If the previous task does not exist, a new task data entry is added, which includes the task mode and the current size of the lifting device.

[0039] In a second aspect, the present invention provides an automated evaluation system for bridges, comprising:

[0040] Acquisition module: used to acquire yard bridge operation data, wherein the yard bridge operation data is the data generated during the automated operation of the yard bridge;

[0041] Processing module: used to generate indicator data corresponding to each preset indicator item based on the yard bridge operation data, wherein the indicator item is a project that characterizes the efficiency of the yard bridge automated operation;

[0042] Output module: Used to output and display the indicator data corresponding to each indicator item.

[0043] Thirdly, the present invention provides a yard bridge automation system, including the aforementioned yard bridge automation evaluation system.

[0044] Fourthly, the present invention provides a yard bridge, including the aforementioned yard bridge automation system.

[0045] This application can achieve at least the following beneficial effects:

[0046] This application acquires yard crane operation data by pre-defined indicators for measuring the automation performance of the yard crane, processes the acquired operation data according to the indicators to obtain indicator data, and then processes the indicator data according to the indicators to obtain display data. Since different indicators are different items that characterize the automation efficiency of the yard crane, this setting allows the factors for measuring the automation performance of the yard crane to be processed separately according to different indicators. That is, it measures the factors for measuring the automation performance of the yard crane from multiple perspectives, thereby accurately measuring the automation performance of the yard crane and enabling subsequent identification of factors affecting the operational efficiency of the yard crane. Attached Figure Description

[0047] Figure 1 The diagram shown is a flowchart of an automated evaluation method for field bridges provided in an embodiment of this specification.

[0048] Figure 2 The image shown is an automated evaluation device for bridges provided in an embodiment of this specification;

[0049] Figure 3 The diagram shown is a flowchart illustrating the displacement processing provided in the embodiments of this specification.

[0050] Figure 4 The diagram shown is a flowchart of the abnormal situation handling provided in the embodiments of this specification;

[0051] Figure 5 The diagram shown is a flowchart illustrating the processing waiting situation provided in the embodiments of this specification;

[0052] Figure 6 The diagram shown is a flowchart of the process for handling the box placement provided in an embodiment of this specification;

[0053] Figure 7 The diagram shown is a flowchart of the processing operation mode provided in the embodiments of this specification;

[0054] Figure 8 The diagram shown is a flowchart of the processing task identifier provided in the embodiments of this specification. Detailed Implementation

[0055] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0056] With the gradual commissioning of automated terminals, automated control systems have become an important technology in the port industry. Automated control systems not only ensure that operators can safely and comfortably control automated equipment from a remote control room, reducing workload and improving the working environment, but also increase port production efficiency and reduce operating costs. Automated yard cranes are the main equipment in terminal yard operations. Currently, users' statistics on operational results are mainly based on manual processing or operators' experience-based judgment, making it difficult to accurately identify factors affecting operational efficiency.

[0057] To address the shortcomings of the existing technology, this solution provides the following embodiments:

[0058] The following describes the embodiments in conjunction with the appendix to the instruction manual. Figures 1-8 Specific details:

[0059] Example 1 of this specification provides an automated evaluation method for field bridges, such as... Figure 1 As shown, the method includes the following steps:

[0060] S201: Obtain yard bridge operation data, wherein the yard bridge operation data is data generated during the automated operation of the yard bridge.

[0061] In the embodiments of this specification, yard crane operation data can be understood as the raw data generated by the yard crane during automated operation, and may include the following data types:

[0062] 1. Efficiency includes overall efficiency, pure efficiency, and effective efficiency. Overall efficiency is the total time taken from the start to the end of the task. Pure efficiency is the overall efficiency excluding waiting factors. Effective efficiency is the overall efficiency excluding waiting factors and vehicle movement factors.

[0063] 2. Anomalies, including the number of occurrences, duration, and anomaly rate.

[0064] The anomaly occurs during the automated operation of equipment such as yard cranes, and does not include manual container placement on the container truck, manual container grabbing on the container truck, or confirmation of trolley movement.

[0065] 3. Normal manual intervention, including the number of occurrences, duration, and intervention rate.

[0066] Tasks requiring human intervention include manually placing containers on the truck, manually grabbing containers on the truck, and confirming the movement of the truck.

[0067] 4. Manual intervention for abnormalities, including the number of occurrences, duration, and intervention rate.

[0068] Tasks requiring human intervention due to abnormalities, but the causes of abnormalities do not include the following three reasons: manually placing containers on the truck, manually grabbing containers on the truck, or confirming the movement of the tractor.

[0069] 5. Waiting, including the number of times it occurs, the duration, and the time utilization rate.

[0070] Waiting means waiting for the truck, waiting for the control panel, and waiting for manual intervention.

[0071] 6. The lifting gear load capacity is the maximum load capacity during the mission's life cycle.

[0072] 7. Micro-movements of the large vehicle, including the number of occurrences, duration, and displacement.

[0073] Micro-movement of the trolley occurs when the trolley moves slowly to the target position after rapid travel, in order to ensure precise placement of the spreader on the container. The number of micro-movements is the number of times the trolley moves from a stationary state to a moving state during these micro-movements, and the displacement is the distance traveled during this process.

[0074] 8. The movement of large vehicles, including the number of occurrences, duration, and displacement.

[0075] The trolley movement refers to the rapid movement of the equipment after receiving a task in order to reach the target position. The number of trolley movements is the number of times the trolley moves from a stationary state to a moving state during the movement, and the displacement is the distance traveled during this process.

[0076] 9. The movement of the trolley, including the number of occurrences, duration, and displacement.

[0077] The number of times the car moves is the number of times the car goes from a stationary state to a moving state, and the displacement is the distance it travels during this process.

[0078] 10. Lifting device movement, including the number of occurrences, duration, and displacement.

[0079] The number of times the spreader moves is the number of times the spreader moves from a stationary state to a moving state, and the displacement is the distance it moves during this process.

[0080] 11. Box information, including box grabbing time and box placement time.

[0081] 12. Electricity consumption, etc. The above-mentioned yard crane operation data can be PLC data collected from some relevant measuring points on the automated yard crane.

[0082] S202: Based on the yard bridge operation data, generate indicator data corresponding to each preset indicator item, wherein the indicator item is a project that characterizes the efficiency of the yard bridge automated operation.

[0083] In the embodiments of this specification, the indicator items are preset. The indicator items can be a series of items that measure the automation performance, which are summarized and categorized based on the characteristics of automated yard bridge operations and the 12 types of raw data generated during the automated yard bridge operations mentioned above.

[0084] S203: Output the indicator data corresponding to each indicator item.

[0085] In the embodiments described in this specification, the indicator data can be displayed through a UI interface or application layer system, so that the factors affecting the efficiency of yard bridge operations can be determined based on the displayed indicator data, providing a basis for optimization strategies.

[0086] Therefore, according to Figure 1 The illustrated method involves defining indicators to measure the automation performance of the yard cranes, acquiring yard crane operation data, processing the acquired operation data according to the indicators to obtain indicator data, and then processing the indicator data to obtain display data. Since different indicators represent different items that characterize the automation efficiency of the yard cranes, this setup allows the factors measuring the automation performance of the yard cranes to be processed separately according to different indicators. That is, it measures the factors measuring the automation performance of the yard cranes from multiple perspectives, thereby accurately measuring the automation performance of the yard cranes and enabling the subsequent identification of factors affecting the operational efficiency of the yard cranes.

[0087] Preferably, the indicators include: displacement status, abnormal status, waiting status, box landing status, operation mode, and task identifier.

[0088] In this embodiment of the specification, based on the characteristics of automated yard crane operations and the 12 types of raw data generated during the aforementioned automated yard crane operations, a series of items for measuring automation performance are summarized, including displacement status, abnormal status, waiting status, caisson landing status, operation mode, and task identification. Therefore, the automation efficiency of yard cranes can be evaluated using the above-mentioned indicators.

[0089] If the indicator item is a displacement condition, then based on the bridge operation data, indicator data corresponding to the displacement condition is generated, including: determining whether displacement has occurred based on the displacement-related data in the bridge operation data; if displacement has occurred, then adding a new displacement data entry, wherein the displacement data includes: the initial displacement mileage and coordinates; if no displacement has occurred, then ending the current displacement and recording the final displacement mileage and coordinates.

[0090] like Figure 3As shown in the embodiments of this specification, if the automation performance of the yard bridge is analyzed from the perspective of displacement, the automation performance evaluation of the yard bridge may include the following steps: First, it is necessary to obtain data related to displacement. Based on the obtained data, it is determined whether displacement has occurred. If the data indicates that displacement has occurred, a new displacement data entry should be added, recording the initial displacement mileage, horizontal coordinate, and vertical coordinate. If the data indicates that no displacement has occurred, the current displacement is terminated, and the final displacement mileage, horizontal coordinate, and vertical coordinate are recorded. The termination of the current displacement can be understood as the current displacement being completed and no further displacement occurring. If displacement occurs again later, a new displacement data entry needs to be added.

[0091] If the indicator item is an abnormal situation, then based on the bridge operation data, generate indicator data corresponding to the abnormal situation, including: obtaining the previous abnormal data; comparing the data related to the abnormal situation obtained from the bridge operation data with the previous abnormal data; if a new abnormal code is added, then add an abnormal record; if the abnormal code disappears, then update the time when the abnormal code disappears to the abnormal end time.

[0092] like Figure 4 As shown in the embodiments of this specification, if the automation performance of the yard crane is analyzed from the perspective of abnormal situations, the automation performance evaluation of the yard crane may include the following steps: First, it is necessary to determine whether any new abnormalities have been added or any abnormalities have disappeared. Specifically, this can be determined by comparing the current abnormal data with the previous abnormal data. If, after comparing the current abnormal data with the previous abnormal data, there is a new abnormal code, it indicates that an abnormality has been added. In this case, in order to accurately reflect the automation performance of the yard crane, a new abnormal record should be added. If, after comparing the current abnormal data with the previous abnormal data, there is a disappearance of an abnormal code, it indicates that an abnormality has disappeared. In this case, in order to accurately reflect the automation performance of the yard crane, the time of the disappearance of the abnormal code should be updated to the time of the end of the abnormality.

[0093] If the indicator item is a waiting status, then based on the yard bridge operation data, generate indicator data corresponding to the waiting status, including: obtaining the previous waiting data; comparing the currently obtained waiting-related data from the yard bridge operation data with the previous waiting data; if a new waiting code is added, then add a new waiting record; if the waiting code disappears, then update the time when the waiting code disappears to the waiting end time.

[0094] like Figure 5As shown in the embodiments of this specification, if the automation performance of the yard crane is analyzed from the perspective of waiting status, the yard crane automation performance evaluation may include the following steps: First, it is necessary to determine whether there are new waiting codes or whether any waiting codes have disappeared. Specifically, this can be determined by comparing the current waiting data with the previous waiting data. If, after comparing the current waiting data with the previous waiting data, there is a new waiting code, it indicates that a waiting code has been added. In this case, to accurately reflect the automation performance of the yard crane, a new waiting record should be added. If, after comparing the current waiting data with the previous waiting data, there is a waiting code that has disappeared, it indicates that a waiting code has disappeared. In this case, to accurately reflect the automation performance of the yard crane, the time when the waiting code disappeared should be updated to the waiting end time.

[0095] If the indicator item is the container landing status, then based on the yard crane operation data, indicator data corresponding to the container landing status is generated, including: determining whether container grabbing / releasing has started based on the container landing-related data in the yard crane operation data; if container grabbing / releasing has started, determining whether the previous container landing has ended; if the previous container landing has ended, adding a new container landing information; if the previous container landing has not ended, ending the previous container landing information; if container grabbing / releasing has not started, updating the current container landing information.

[0096] like Figure 6 As shown in the embodiments of this specification, if the automation performance of the yard crane is analyzed from the perspective of cabin placement, the yard crane automation performance evaluation may include the following steps: First, it is necessary to obtain yard crane operation data related to cabin placement from the raw data of yard crane automated operation. Based on the obtained cabin placement-related operation data, it is determined whether cabin grabbing / releasing has started. If cabin grabbing / releasing has not started, the current cabin placement information is updated to reflect the current cabin placement status. If cabin grabbing / releasing has started, it is further determined whether the previous cabin placement has ended. If the previous cabin placement has ended, a new cabin placement information is added to reflect the current grabbing / releasing status. If the previous cabin placement has not ended, the previous cabin placement information should be terminated.

[0097] If the indicator item is a work mode, then based on the yard bridge work data, indicator data corresponding to the work mode is generated, including: determining whether the previous work mode has ended based on the work mode-related data in the yard bridge work data; if the previous work mode has ended, determining whether it is a manual mode; if it is a manual mode, determining whether there is an abnormality within the set time before this; if there is an abnormality, adding an abnormal manual intervention information; if there is no abnormality, adding a normal manual intervention information; if it is not a manual mode, adding a work mode information; if the previous work mode has not ended, updating the end information of the previous work mode.

[0098] like Figure 7As shown in the embodiments of this specification, if the automation performance of the yard crane is analyzed from the perspective of the operation mode, the automation performance evaluation of the yard crane may include the following steps: First, it is necessary to obtain the yard crane operation data related to the operation mode. Based on the obtained yard crane operation data, it is determined whether the previous operation mode has ended. If the previous operation mode has not ended, the end information of the previous operation mode should be updated. If the previous operation mode has ended, it is further determined whether the current operation mode is a manual mode. If the current operation mode is a manual mode, it is further determined whether there is an abnormality within the previous set time. The set time is preferably 30 seconds. If there is an abnormality, an abnormal manual intervention information is added. If there is no abnormality, a normal manual intervention information is added. If it is not a manual mode, an information related to the operation mode is added to indicate the operation mode of the yard crane.

[0099] If the indicator item is a task identifier, then based on the bridge operation data, indicator data corresponding to the task identifier is generated, including: determining whether there is a previous task based on the data related to the task identifier in the bridge operation data; if there is a previous task, then ending the previous task; if there is no previous task, then adding a new task data, wherein the task data includes the task mode and the current size of the spreader.

[0100] like Figure 8 As shown in the embodiments of this specification, if the automation performance of the yard crane is analyzed from the perspective of task identifier, the automation performance evaluation of the yard crane may include the following steps: First, the yard crane operation data related to the task identifier should be obtained from the yard crane operation data. Based on the obtained yard crane operation data, it should be determined whether there is a previous task. If the determination result shows that there is a previous task, the previous task is terminated. If it is determined from the yard crane operation data that there is no previous task, a new task data is added to represent the current task. The task data may include the task mode and the size of the spreader at this time.

[0101] Based on the same idea, the present invention also provides an automated assessment system for yard bridges corresponding to the above-mentioned automated assessment method, such as... Figure 2 The following are included:

[0102] Acquisition module 410: used to acquire yard bridge operation data, wherein the yard bridge operation data is data generated during the automated operation of the yard bridge;

[0103] Processing module 420: is used to generate indicator data corresponding to each preset indicator item based on the yard bridge operation data, wherein the indicator item is a project that characterizes the efficiency of the yard bridge automated operation;

[0104] Output module 430: Used to output the indicator data corresponding to each indicator item.

[0105] Preferably, the indicators include: displacement status, abnormal status, waiting status, box landing status, operation mode, and task identifier.

[0106] Preferably, if the indicator item is a displacement condition, then based on the bridge operation data, indicator data corresponding to the displacement condition is generated, including:

[0107] Based on the displacement-related data in the bridge operation data, determine whether displacement has occurred;

[0108] If displacement occurs, a new displacement data entry is added, which includes: the initial displacement distance and coordinates;

[0109] If no displacement occurs, end the current displacement and record the displacement distance and coordinates at the end.

[0110] Preferably, the processing module 420 is used to generate indicator data corresponding to the abnormal situation based on the yard bridge operation data if the indicator item is an abnormal situation, including:

[0111] Retrieve the previous abnormal data;

[0112] The data related to the abnormal situation currently obtained from the bridge operation data is compared with the previous abnormal data.

[0113] If a new exception code is added, a new exception record will be added.

[0114] If the exception code disappears, then the time when the exception code disappeared is updated to the exception end time.

[0115] Preferably, the processing module 420 is used to generate indicator data corresponding to the waiting status based on the yard crane operation data if the indicator item is a waiting status, including:

[0116] Retrieve the previous pending data;

[0117] The waiting-related data currently obtained from the bridge operation data is compared with the previous waiting data.

[0118] If a new wait code is added, a new wait record will be created.

[0119] If the waiting code disappears, then update the time when the waiting code disappeared to the waiting end time.

[0120] Preferably, the processing module 420 is used to generate indicator data corresponding to the caisson landing situation based on the yard crane operation data if the indicator item is a caisson landing situation, including:

[0121] Based on the data related to caisson placement in the bridge operation data, determine whether the caisson grabbing / releasing has started;

[0122] If the grab / place box begins, determine whether the previous box-grabbing process has ended;

[0123] If the previous box placement ends, a new box placement message is added;

[0124] If the previous item's box placement has not ended, then the previous item's box placement information is terminated;

[0125] If the grab / place box has not started, update the current box information.

[0126] Preferably, the processing module 420 is used to generate indicator data corresponding to the operation mode based on the yard crane operation data if the indicator item is an operation mode, including:

[0127] Based on the data related to the operation mode in the bridge operation data, determine whether the previous operation mode has ended;

[0128] If the previous operation mode has ended, determine whether the current operation mode is manual mode;

[0129] If it is in manual mode, it checks whether there were any abnormalities within the set time period prior to this.

[0130] If an anomaly is found, a new manual intervention record for the anomaly will be added.

[0131] If no abnormality is found, add a new normal manual intervention record;

[0132] If it is not in manual mode, add a new job mode information;

[0133] If the previous job mode has not ended, then update the end information of the previous job mode.

[0134] Preferably, the processing module 420 is used to generate indicator data corresponding to the task identifier based on the bridge operation data if the indicator item is a task identifier, including:

[0135] Based on the data related to the task identifier in the bridge operation data, determine whether there is a previous task;

[0136] If the previous task exists, then the previous task is terminated;

[0137] If the previous task does not exist, a new task data entry is added, which includes the task mode and the current size of the lifting device.

[0138] Based on the same idea, the present invention also provides a yard bridge automation system, including the above-mentioned yard bridge automation evaluation system.

[0139] Based on the same idea, the present invention also provides a field bridge corresponding to the above-mentioned automated evaluation method for field bridges, including the aforementioned automated field bridge system.

[0140] The basic principles of the present invention have been described above with reference to specific embodiments. However, it should be noted that the advantages, benefits, and effects mentioned in the present invention are merely examples and not limitations, and should not be considered as essential features of each embodiment of the present invention. Furthermore, the specific details disclosed above are for illustrative and facilitative purposes only, and are not limitations. These details do not limit the present invention to the necessity of employing the aforementioned specific details.

[0141] The block diagrams of devices, apparatuses, devices, and systems involved in this invention are merely illustrative examples and are not intended to require or imply that they must be connected, arranged, or configured in the manner shown in the block diagrams. As those skilled in the art will recognize, these devices, apparatuses, devices, and systems can be connected, arranged, and configured in any manner. Words such as “comprising,” “including,” “having,” etc., are open-ended terms meaning “including but not limited to,” and are used interchangeably with them. The terms “or” and “and” as used herein refer to the terms “and / or,” and are used interchangeably with them unless the context clearly indicates otherwise. The term “such as” as used herein refers to the phrase “such as but not limited to,” and is used interchangeably with it.

[0142] It should also be noted that in the apparatus, device, and method of the present invention, the components or steps can be disassembled and / or recombined. These disassemblies and / or recombinations should be considered as equivalent solutions of the present invention.

[0143] The above description of the disclosed aspects is provided to enable any person skilled in the art to make or use the invention. Various modifications to these aspects will be readily apparent to those skilled in the art, and the general principles defined herein can be applied to other aspects without departing from the scope of the invention. Therefore, the invention is not intended to be limited to the aspects shown herein, but rather to be carried out within the widest scope consistent with the principles and novel features disclosed herein.

[0144] It should be understood that the qualifying terms "first", "second", "third", "fourth", "fifth" and "sixth" used in the description of the embodiments of the present invention are only used to more clearly illustrate the technical solutions and are not intended to limit the scope of protection of the present invention.

[0145] The above description has been given for purposes of illustration and description. Furthermore, this description is not intended to limit the embodiments of the invention to the forms disclosed herein. Although numerous exemplary aspects and embodiments have been discussed above, those skilled in the art will recognize certain variations, modifications, alterations, additions, and sub-combinations therein.

Claims

1. An automated evaluation method for yard bridges, characterized in that, include: Acquire yard bridge operation data, wherein the yard bridge operation data is data generated during the automated operation of the yard bridge; Based on the yard bridge operation data, indicator data corresponding to each preset indicator item is generated. The indicator items are items that characterize the efficiency of automated yard bridge operation. The indicator items include: displacement status, abnormal status, waiting status, box landing status, operation mode, and task identifier. If the indicator item is a displacement condition, then based on the bridge operation data, indicator data corresponding to the displacement condition is generated, including: determining whether displacement has occurred based on the displacement-related data in the bridge operation data; if displacement has occurred, then adding a new displacement data entry, wherein the displacement data includes: the initial displacement mileage and coordinates; if no displacement has occurred, then ending the current displacement and recording the final displacement mileage and coordinates. If the indicator item is an abnormal situation, then based on the bridge operation data, generate indicator data corresponding to the abnormal situation, including: obtaining the previous abnormal data; comparing the data related to the abnormal situation obtained from the bridge operation data with the previous abnormal data; if a new abnormal code is added, then add an abnormal record; if the abnormal code disappears, then update the time when the abnormal code disappears to the abnormal end time. Output the corresponding indicator data for each indicator item to determine the factors affecting the efficiency of yard bridge operations.

2. The method according to claim 1, characterized in that, If the indicator item is a waiting status, then based on the yard crane operation data, indicator data corresponding to the waiting status is generated, including: Retrieve the previous pending data; The waiting-related data currently obtained from the bridge operation data is compared with the previous waiting data. If a new wait code is added, a new wait record will be created. If the waiting code disappears, then update the time when the waiting code disappeared to the waiting end time.

3. The method according to claim 1, characterized in that, If the indicator item is related to caisson landing status, then based on the yard crane operation data, indicator data corresponding to the caisson landing status is generated, including: Based on the data related to caisson placement in the bridge operation data, determine whether the caisson grabbing / releasing has started; If the grab / place box begins, determine whether the previous box-grabbing process has ended; If the previous box placement ends, a new box placement message is added; If the previous item's closing action has not been completed, then the information regarding the previous item's closing action is terminated; If the grab / place box has not started, update the current box information.

4. The method according to claim 1, characterized in that, If the indicator item is a work mode, then based on the yard crane work data, indicator data corresponding to the work mode is generated, including: Based on the data related to the operation mode in the bridge operation data, determine whether the previous operation mode has ended; If the previous operation mode has ended, determine whether the current operation mode is manual mode; If it is in manual mode, it checks whether there were any abnormalities within the set time period prior to this. If an anomaly is found, a new manual intervention record for the anomaly will be added. If no abnormality is found, add a new normal manual intervention record; If it is not in manual mode, add a new job mode information; If the previous job mode has not ended, then update the end information of the previous job mode.

5. The method according to claim 1, characterized in that, If the indicator item is a task identifier, then based on the bridge operation data, indicator data corresponding to the task identifier is generated, including: Based on the data related to the task identifier in the bridge operation data, determine whether there is a previous task; If the previous task exists, then the previous task is terminated; If the previous task does not exist, a new task data entry is added, which includes the task mode and the current size of the lifting device.

6. An automated evaluation system for bridges and cranes, characterized in that, include: Acquisition module: used to acquire yard bridge operation data, wherein the yard bridge operation data is data generated during the automated operation of the yard bridge; Processing module: Used to generate indicator data corresponding to each preset indicator item based on the yard bridge operation data, wherein the indicator item is a project that characterizes the efficiency of yard bridge automated operation; the indicator item includes: displacement status, abnormal status, waiting status, box landing status, operation mode and task identifier; The processing module is specifically used for: if the indicator item is a displacement condition, then generating indicator data corresponding to the displacement condition based on the bridge operation data, including: determining whether displacement has occurred based on the displacement-related data in the bridge operation data; if displacement has occurred, adding a new displacement data entry, wherein the displacement data includes: the initial displacement mileage and coordinates; if no displacement has occurred, ending the current displacement and recording the final displacement mileage and coordinates. If the indicator item is an abnormal situation, then based on the bridge operation data, generate indicator data corresponding to the abnormal situation, including: obtaining the previous abnormal data; comparing the data related to the abnormal situation obtained from the bridge operation data with the previous abnormal data; if a new abnormal code is added, then add an abnormal record; if the abnormal code disappears, then update the time when the abnormal code disappears to the abnormal end time. Output module: Used to output the index data corresponding to each index item to determine the factors affecting the efficiency of yard bridge operations.

7. An automated yard bridge system, characterized in that, include: The automated evaluation system for bridges as described in claim 6.

8. A field bridge, characterized in that, Includes the field bridge automation system as described in claim 7.

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