CN-121998549-A - Intelligent bank bridge tallying system and method

CN121998549ACN 121998549 ACN121998549 ACN 121998549ACN-121998549-A

Abstract

The application discloses a bank bridge intelligent tallying system and method, comprising a front end acquisition system, a tallying client, a tallying application end and an external system interface, wherein the front end acquisition system is used for acquiring real-time multi-mode data of a container in the process of cargo management, the tallying application end is used for receiving operation plan information transmitted by the external system interface, the tallying client is used for supporting manual complement of the real-time multi-mode data of the container, the tallying application end is also used for carrying out data preprocessing on the real-time multi-mode data, comparing the real-time multi-mode data of the container subjected to data enhancement processing with the transmitted operation plan information according to a multi-layer comparison strategy, determining operation deviation information and triggering corresponding-level matched early warning grades in the case of failed multi-layer comparison, completing hierarchical early warning and outputting operation deviation correction suggestions to the tallying client. The application can realize the automatic operation flow of the intelligent bank bridge tallying system and improve the tallying speed and accuracy.

Inventors

CHEN YE
CHEN JIANWU
ZHOU LINHUA
YU ZHAOSHENG
WU YONG

Assignees

南京中理外轮理货有限公司

Dates

Publication Date: 20260508
Application Date: 20260119

Claims (10)

1. The intelligent quay crane tallying system is characterized by comprising a front end acquisition system, a tallying client, a tallying application end and an external system interface; The front-end acquisition system comprises at least one industrial personal computer and a multi-mode acquisition device, wherein the multi-mode acquisition device is in communication connection with the industrial personal computer and is used for acquiring real-time multi-mode data of the container in the process of cargo handling operation according to a control instruction of the industrial personal computer and sending the real-time multi-mode data to a cargo handling application end; The cargo management application end is in communication connection with the cargo management client end and is used for receiving the operation ship hatch sheet, the pre-allocation information and the operation plan transmitted by the external management system interface, and determining and displaying the container operation queue information of the current shellfish position in real time at the cargo management client end; The tally client is used for supporting the manual supplementary recording of the real-time multi-mode data of the container; The system comprises a tally application end, a container management system and a management client, wherein the tally application end is also used for carrying out data enhancement on collected or manually-recorded container real-time multi-mode data, comparing the container real-time multi-mode data subjected to data enhancement processing with transmitted operation ship billboards, pre-allocation information and container operation queue information of the current shellfish position in an operation plan according to a multi-layer comparison strategy, the multi-layer comparison strategy comprises basic information quick comparison, depth feature comparison and operation logic verification, generating current operation passing records and synchronously updating tally operation progress to an external system when the multi-layer comparison is passed, determining operation deviation information and triggering corresponding hierarchy matching early warning grades when the multi-layer comparison is failed, completing hierarchical early warning and outputting operation deviation correction suggestions to the tally client.
2. The quay crane intelligent management system of claim 1, further comprising: the front-end acquisition system is also used for acquiring operation environment data, operation speed data and operation progress data in the process of the tally operation in real time by utilizing the multi-mode acquisition device and uploading the operation environment data, the operation speed data and the operation progress data to the tally application end; The system comprises a front end acquisition system, a cargo management application end, a front end acquisition system and a front end acquisition system, wherein the cargo management application end is also used for dynamically adapting an acquisition strategy according to operation environment data, operation speed data and operation progress data and feeding back to an industrial personal computer in the front end acquisition system, so that the industrial personal computer generates and executes a control instruction according to the adapted acquisition strategy to complete real-time multi-mode data acquisition of a container in the cargo management operation process; The tally application end is also used for adapting different data enhancement algorithms according to the operation environment data, the operation speed data and the operation progress data, wherein the different data enhancement algorithms comprise different image enhancement algorithms adapted to different operation environments, data enhancement models with different structural complexity adapted to different operation speeds and different area self-adaptive enhancement algorithms adapted to different operation progress.
3. The quay crane intelligent management system of claim 1, further comprising: The tally application end is also used for determining the type of the current operation scene according to the operation ship hatch sheet, the pre-allocation information and the operation plan, learning and acquiring key operation information and deviation threshold values of the key operation information of each layer comparison under different operation scenes by utilizing a machine learning algorithm, and adaptively adjusting the key operation information and the deviation threshold values of the key operation information related to each layer comparison according to different operation scenes; The tally application end is further used for judging whether the deviation degree of the key operation information compared with each level is larger than a deviation degree threshold value of the key operation information, determining the operation deviation information and triggering the corresponding level matched early warning level when the deviation degree is larger than the deviation degree threshold value, continuing to compare with the next level until all levels are compared, calculating the difference between the deviation degree of the key operation information compared with the corresponding level and the deviation degree threshold value of the key operation information when the deviation degree is not larger than the deviation degree threshold value, marking the difference as a first difference value, calculating a second difference value between the absolute value of the first difference value and a preset difference value, and adaptively adjusting the quantity of the key operation information entering the next level according to the second difference value, wherein the smaller the second difference value is, the more the quantity of the key operation information of the next level is.
4. The quay crane intelligent management system of claim 1, further comprising: The tally application end is further used for carrying out feature extraction on multi-mode data of the container, container operation queue information of the current shellfish position, actual operation data and historical operation deviation information acquired based on a front-end acquisition system, constructing a feature set, utilizing the constructed feature set to train to obtain a tally operation deviation prediction model, adopting a fused time sequence prediction model and a space correlation model as time sequence branches and position branches respectively, introducing an attention mechanism, weighting and calculating fusion feature vectors, outputting the tally operation deviation of the next container, inputting the currently acquired multi-mode data of the container, an operation ship ticket, pre-allocation information, an operation plan and the actual operation data into the tally operation deviation prediction model, predicting the tally operation deviation of the next container, triggering corresponding-level matched early warning grades in advance according to the predicted tally operation deviation of the next container, and completing grading early warning in advance.
5. The intelligent quay crane tallying system according to claim 1, further comprising a back-end collection system; The back-end acquisition system is used for acquiring operation data of a back-end operator in the tally operation; The system comprises a front-end acquisition system, a cargo management application end, a verification strategy and a strict verification flow, wherein the front-end acquisition system is used for acquiring operation deviation information, recording operation deviation information and updating operation deviation frequency, when operation deviation exists and the current operation deviation frequency is larger than preset deviation frequency, evaluating a current external factor influence index, the external factor influence index builds a quantitative evaluation rule of the external factor on the operation deviation influence degree through operation data acquired based on operation speed data, operation progress data and real-time operation data acquired by the front-end acquisition system, quantitatively evaluates and calculates the quantitative evaluation rule in a weighting mode, the evaluated current external factor influence index is compared with a preset influence index threshold value, and the verification strategy is selected and executed based on a comparison result, and comprises a quick verification flow of basic information comparison verification, an enhanced verification flow of depth feature comparison verification and a strict verification flow of all comparison verification on the basis of the quick verification.
6. The quay crane intelligent management system of claim 1, further comprising: the tally application end is further used for constructing an association constraint set according to the received workboat manifest, the pre-configuration information and the operation plan, wherein each constraint comprises a designed container set, association relation constraint types, association relation constraint conditions and weights, when each container completes operation, all the constraints related to the corresponding container are searched in the association constraint set, if each searched constraint is completed, whether the corresponding constraint is met or not is detected, whether the constraint meets the result is recorded, when a preset number of containers are completed, the weighted meeting rate of the currently detected constraint is calculated, whether the weighted meeting rate is smaller than a meeting rate threshold is judged, if the weighted meeting rate is smaller than the meeting rate threshold, operation deviation exists in the process of completing the tally operation of the currently preset number of containers, and early warning prompt is generated and unsatisfied constraints are listed to a tally client.
7. The quay crane intelligent management system of claim 1, further comprising: The front-end acquisition system is also used for acquiring a plurality of groups of real-time multi-modal data of the container in the process of the tally operation according to the control instruction of the industrial personal computer, and selecting one group as standby multi-modal data; the goods management application end is further used for starting fault-tolerant processing to verify whether false alarms exist or not when the early warning level triggered in the goods management operation process of the container is larger than the preset early warning level, the fault-tolerant processing comprises the steps of carrying out data enhancement on standby multi-mode data and multi-level comparison to obtain multi-level comparison results, verifying consistency of the current multi-level comparison results and the original multi-level comparison results, confirming operation deviation information if the current multi-level comparison results are consistent, and controlling an industrial personal computer to generate control instructions to collect multi-mode data of the container again if the current multi-level comparison results are inconsistent.
8. A quay crane intelligent tallying method using the system of any one of claims 1 to 7, comprising: The method comprises the steps of collecting real-time multi-mode data of a container in the process of cargo handling operation, receiving an operation ship hatch sheet, pre-allocation information and an operation plan transmitted by an external management system interface, determining and displaying the operation queue information of the container with the current bin position in real time at a cargo handling client; Carrying out data enhancement on the acquired or manually-recorded container real-time multi-modal data; According to the multi-layer comparison strategy, the real-time multi-mode data of the container after the data enhancement processing is compared with the transmitted operation ship hatch bill, the pre-allocation information and the container operation queue information of the current shellfish position in the operation plan; And determining the operation deviation information and triggering the early warning level of corresponding level matching when the multi-level comparison is failed, completing the hierarchical early warning and outputting the operation deviation correcting suggestion to the tally client.
9. A computer readable storage medium, characterized in that the computer readable storage medium comprises a stored computer program, wherein the computer program, when run, controls a device in which the computer readable storage medium is located to perform the method according to claim 8.
10. A computer device comprising a memory, a processor and a program stored and executable on the memory, which when executed by the processor performs the steps of the method according to claim 8.

Description

Intelligent bank bridge tallying system and method Technical Field The application relates to the technical field of port tally data processing and management, in particular to an intelligent quay bridge tally system and method. Background Intelligent cargo management systems play a vital role in modern terminal operations. The system can help business personnel to accelerate the tallying speed and accuracy, improve the tallying environment, ensure the safe production, and can timely adjust the distribution of mechanical equipment and manpower, thereby providing scientific data analysis for dock management. With the continuous development of dock business and the improvement of efficiency and accuracy requirements, intelligent cargo management has become a necessary means in dock operation. In the conventional dock cargo handling operation, in order to improve cargo handling efficiency and accuracy, some conventional means are generally adopted. For example, some wharfs rely on manual cargo handling operations, and business personnel record and check information such as the number and the type of the container on site, and this way can guarantee a certain accuracy, but the efficiency is lower and the manual labor intensity is high. Still some wharfs can use traditional image acquisition equipment, like fixed angle's camera, carry out simple shooting and discernment to the container, just stay in the image acquisition aspect moreover, be difficult to realize the real-time acquisition to the condition such as illumination, humiture of operation environment and many aspects data such as operation speed, operation progress. In addition, the visual device is adopted for simple shooting and identification, only the surface image information is focused, and the depth mining and analysis capability of the information is lacking. These conventional means of tallying currently exist with significant drawbacks. The manual cargo handling mode has low efficiency, cannot meet the large-scale and high-efficiency operation requirements of modern wharfs, and is easy to cause human errors. The traditional image acquisition equipment has single function, can not comprehensively and accurately acquire the related information of the container, and can not timely identify deviation information in the process of tallying due to the lack of effective processing and comparison capability of acquired data, so that deviation correction suggestions for the deviation information can not be timely generated, and the processes of automatic loading, unloading and the like are difficult to realize, so that the accuracy and efficiency of tallying operation are greatly influenced. Disclosure of Invention In order to realize the automatic operation flow of the intelligent quay crane tallying system and improve the tallying speed and accuracy, the application provides the intelligent quay crane tallying system and method. The application provides an intelligent quay bridge tallying system, which comprises a front end acquisition system, a tallying client, a tallying application end and an external system interface, wherein the front end acquisition system is connected with the tallying client; The front-end acquisition system comprises at least one industrial personal computer and a multi-mode acquisition device, wherein the multi-mode acquisition device is in communication connection with the industrial personal computer and is used for acquiring real-time multi-mode data of the container in the process of cargo handling operation according to a control instruction of the industrial personal computer and sending the real-time multi-mode data to a cargo handling application end; The cargo management application end is in communication connection with the cargo management client end and is used for receiving the operation ship hatch sheet, the pre-allocation information and the operation plan transmitted by the external management system interface, and determining and displaying the container operation queue information of the current shellfish position in real time at the cargo management client end; the tally client is used for supporting the manual supplementary recording of the real-time multi-mode data of the container The system comprises a tally application end, a container management system and a management client, wherein the tally application end is also used for carrying out data enhancement on collected or manually-recorded container real-time multi-mode data, comparing the container real-time multi-mode data subjected to data enhancement processing with transmitted operation ship billboards, pre-allocation information and container operation queue information of the current shellfish position in an operation plan according to a multi-layer comparison strategy, the multi-layer comparison strategy comprises basic information quick comparison, depth feature comparison and operation logic verification, generating current operation pass