Ship enterprise steel plate pre-lane-separation stacking management system based on knowledge base

Abstract

The invention discloses a knowledge base-based shipping enterprise steel plate pre-lane stacking management system, which depends on a data center of a shipping enterprise, and comprises a data acquisition module for acquiring and recording various dynamic data of steel plates in a storage yard in real time and generating a full-dimensional information knowledge base of the steel plates in the storage yard; the category model construction module is used for constructing a storage yard steel plate category model by using a data analysis tool and a Python data processing package; the demand prediction and resource dynamic balance module is used for forming storage yard pile position distribution and establishing a steel plate storage yard pile position model through the collected dynamic data in combination with a pile position projection mode, and according to the number of pre-separation label steel plates in a storage yard, in combination with the stacking number of the steel plates in the pile position and height constraint conditions, the demand prediction and resource dynamic balance module is established for the steel plate storage yard pile position model; solving a pile position rigidity requirement; and the data presentation module is used for carrying out comprehensive calculation and analysis on the steel plate inventory data to obtain a data result. The steel plates are efficiently stacked according to the pre-lane-dividing marks, and the steel plate stacking flexibility is improved.

Description

Technical Field

[0001] The invention relates to a knowledge base-based steel plate pre-lane stacking management system for shipbuilding companies. Background Art

[0002] The pre-lane marking technology for steel plate yard is a yard management technology based on data and statistics. It uses technologies such as knowledge base, prediction algorithm and inventory management analysis to extract information and confirm features of incoming steel plates, thereby realizing the pre-positioning of downstream flow management of steel plates.

[0003] The application of the steel plate pre-lane stacking management system can significantly improve the intelligent stacking level of steel plate yard materials in shipbuilding enterprises, help enterprises achieve more refined material management and improve the efficiency of steel plate in and out of the warehouse, reduce ineffective plate turnover and labor costs, and form a rapid flow of materials up and down. Therefore, the development of the steel plate pre-lane stacking management system has a wide range of applicable scenarios and also has high economic value.

[0004] Therefore, a knowledge base-based shipbuilding steel plate pre-lane stacking management system is provided. Summary of the invention

[0005] The purpose of the present invention is to overcome the existing defects and provide a shipbuilding steel plate pre-lane stacking management system based on a knowledge base, which realizes efficient stacking of steel plates according to pre-lane markings and improves the flexibility of steel plate stacking.

[0006] The technical solution to achieve the above purpose is:

[0007] A knowledge-based shipbuilding steel plate pre-lane stacking management system, relying on the shipbuilding company's own data center, includes:

[0008] The data acquisition module is used to collect and record various dynamic data of steel plates in the yard in real time. The dynamic data is cleaned, verified and stored by combining big data processing technology and inventory data attribute rules. The full-dimensional information knowledge base of steel plates in the yard is generated by combining data fusion technology and the attributes of steel plates in inventory.

[0009] The category model building module uses data analysis tools and Python data processing packages to build a category model for steel plates in the yard. The template is established based on the ship type and incorporated into the model knowledge base. Then, the pre-lane marking of the steel plates is performed by extracting the feature information of the steel plates newly stored in the yard and in the warehouse.

[0010] The demand forecasting and resource dynamic balancing module is used to form the distribution of stockpile positions in the yard through the collected dynamic data and the stacking projection method, establish the steel plate stockpile model, and solve the rigid demand for pile positions according to the number of pre-lane labeled steel plates in the yard, the number of steel plates stacked in the stacking position and the height constraint conditions. It is also used to extract the pre-lane notes for the steel plates with recent outbound delivery demand through the steel plate pre-processing plan and pre-processing time requirements, and put them into the corresponding pre-lane inventory pile positions;

[0011] Data presentation module, used to obtain data results in the form of interactive charts by comprehensive calculation and analysis of steel plate inventory data;

[0012] The result analysis module is used to formulate a recommended plan for the use of yard pile positions based on the depth-first algorithm for incoming warehousing and to formulate an accurate pile position turnover plan based on the breadth-first algorithm for outgoing warehousing based on the data results.

[0013] Preferably, it also includes: a system management module, a job management module, an inventory management module, a log management module and a report management module;

[0014] The system management module mainly includes:

[0015] Pile position management, used to set pile position type, pile position lane notes, pre-lane notes, storage materials, pile position steel plate pretreatment start date, pile position steel plate pretreatment end date;

[0016] Lane / pre-lane note management, used to create lane / pre-lane note types;

[0017] Pile type management, used to create pile type tables, including inbound, outbound, and flip-over;

[0018] Series ship management, used to create a series ship information table, including the series ship number and the first ship number;

[0019] Completed ship management, used to create a completed ship information table, including the issuance of project numbers, issuance of section numbers, and lane notes;

[0020] Ship type category management, used to create ship type information tables, including completed ships and first-built ships;

[0021] Ship information management, used to create a ship information table, including ship number, ship type, classification society, ship type category and ship owner;

[0022] The job management module mainly includes:

[0023] Pre-arrival list management is used to import the pre-arrival list, create steel plate information in the database, generate steel plate storage date, storage number and pre-lane remarks, record the pre-arrival quantity, actual arrival quantity, and calculate the arrival rate;

[0024] Management of incoming difference lists, used to record the situation of over-stocking and missing plates, and collect the arrival information of steel plates fed back by PAD on-site;

[0025] Management of pallet unloading work orders, generating and tracking work order information, generating and pushing pallet unloading work orders to the on-site PAD based on the pre-arrival list and pre-lane notes, and on-site staff follow up on the unloading status and return information through the PAD. The pallet unloading work order function updates the completion rate and completed quantity;

[0026] Management of panel flipping work orders, generating and tracking work order information, generating panel flipping work orders based on pre-processing date and lane note type, and pushing them to the on-site PAD. On-site staff follow up on the panel flipping situation and return information through PAD. The panel flipping work order function updates the completion rate and completed quantity;

[0027] Outbound work order management: generate and track work order information. Generate an outbound work order based on the pre-processing date, lane note type, and outbound location, and push it to the on-site PAD. On-site staff follow up on the outbound situation and return information through the PAD. The outbound work order function updates the completion rate and completed quantity.

[0028] The inventory management module mainly includes:

[0029] Steel plate inventory, used to record steel plate inventory information;

[0030] Pile position inventory, used to record the number of steel plates in each pile position, pile position height and steel plate inventory information in the pile position;

[0031] Pre-lane inventory, used to record the pre-lane pile position information used for each pre-lane, including the number of pre-lane piles, the use of pre-lane pile positions, pre-lane height warnings, and the number of steel plates hit in the pre-lane pile positions;

[0032] The log management module mainly includes:

[0033] Plate moving log, used to record the movement of steel plates in the yard;

[0034] Quality feedback log, used to record the excess / shortage of steel plates in the yard;

[0035] The storage location configuration log is used to record the changes in storage location categories within the yard;

[0036] The report management module mainly includes:

[0037] Digital twin, used to digitally present the yard information, provide the information of the stacking location and the inventory information of the steel plates in the stacking location;

[0038] The data dashboard is used to present the yard information in reports, including statistics and display of inventory turnover rate, number of plate turnovers, labor costs, equipment, completion status of inbound / outbound orders, and steel plate arrival rate information.

[0039] Preferably, the data acquisition module includes:

[0040] Information collection unit, used to collect and record various dynamic data of steel plates in the yard in real time;

[0041] An information transmission unit, used to transmit the collected dynamic data to the information processing unit via a wireless communication network;

[0042] The information processing unit is used to clean, verify and store dynamic data by combining big data processing technology and inventory data attribute rules;

[0043] The knowledge base generation unit is used to generate a full-dimensional information knowledge base of the steel plates in the yard by using data fusion technology and combining the properties of the steel plates in the inventory.

[0044] Preferably, in the information collection unit, the dynamic data includes but is not limited to the location, quantity, size, weight and in-and-out time of the steel plates;

[0045] On-site staff can scan the printed barcodes on the steel plates through industrial PADs, QR code scanners and laser measuring instruments to read and write the location, quantity, size, weight and in and out time of the steel plates in real time, and monitor the site in real time through the stacking scene depth camera and environmental camera;

[0046] In the information transmission unit, the wireless communication network includes but is not limited to Wi-Fi, Bluetooth and LoRa.

[0047] Preferably, the category model building module includes:

[0048] The first-build ship template unit is used to establish a number of first-build ship templates and then generate a first-build ship template knowledge base;

[0049] The template library self-learning unit is used to establish an additional template for the first-made ship type when the steel plates of the series ships exceed the range of the first-made ship template, and include such steel plates in the additional template, and track the final outbound flow direction of the steel plates in real time, and add the data in the additional template to the first-made ship template to form the self-learning capability of the yard steel plate category model;

[0050] The online steel plate marking unit is used to utilize similarity information extraction to form a key field dictionary of the material, thickness, width, length and segment number information of each steel plate in the first ship template. The newly-entered steel plates and the inventory steel plates are matched with the above key fields, and the steel plate lane information in the template is reversely queried to confirm the pre-lane matching information of the current incoming or inventory steel plates.

[0051] Preferably, in the first-ship template unit, the first-ship confirmation is divided into two situations, namely, system initialization situation and system normal operation situation, wherein:

[0052] System initialization, that is, during the first use, the staff imports the first ship number in the past order, and queries the final lane flow direction of the first ship steel plate in the steel plate outbound log according to the first ship number, thereby forming the first ship template;

[0053] The system's normal operation means that during the system's normal operation, for a newly appeared ship number, if it is a series ship, subsequent judgment will be made according to the first-made ship template, otherwise a new first-made ship template will be established, and in subsequent operation, the template content will be supplemented according to the flow direction of the steel plate out of the warehouse.

[0054] Preferably, the category model building module further includes: an offline steel plate marking unit, which has the same marking method as the online steel plate marking unit. During marking, the inventory data and the first-made ship template knowledge base need to be exported.

[0055] Preferably, the demand forecasting and resource dynamic balancing module includes:

[0056] The steel plate yard position model building unit is used to collect the yard image through the depth of field camera, and form the yard pile position distribution in combination with the pile position projection method, and consider the pile position height constraint and weight constraint to establish the steel plate yard position model;

[0057] The pile position demand prediction unit calculates the rigid demand for pile positions based on the number of pre-lane labeled steel plates in the yard, the number of steel plates stacked in the stacking position, and the height constraint conditions, and calculates the rigid demand for pile positions for the steel plate yard stacking position model. On the basis of the rigid demand, 20% redundancy is added to form the demand quantity for specific pre-lane steel plate stacking positions.

[0058] The pile resource dynamic balancing unit is used to extract pre-lane notes for steel plates that have a recent delivery demand based on the steel plate pretreatment plan and pretreatment time requirements.

[0059] Preferably, in the pile position resource dynamic balancing unit, the pile position area close to the roller line outbound position is set as the corresponding pre-lane separation remark pile position area, that is, the pre-lane separation outbound pile position, and in the process of warehousing and turning over, the pre-processing plan requirements and the same pre-lane separation remark steel plates are put into the pre-lane separation pile position area, and the steel plates without pre-processing plan requirements are put into the corresponding pre-lane separation inventory pile position;

[0060] During the process of steel plate stacking, the pile height and total weight are automatically measured, and the number of steel plates in each pre-divided pile position is balanced based on the principle of balanced height priority. When the overall height of the pile area is too high or the total weight is too heavy, the idle pile positions are automatically transferred to the corresponding pre-divided reserve pile positions.

[0061] Preferably, in the data presentation module, the steel plate inventory data is comprehensively calculated and analyzed based on the storage and warehousing time, storage cycle, number of turnover times, demand changes, and lane usage adjustments. The data results include the inventory capital occupancy rate of the steel plates, the steel plate turnover cycle, the steel plate turnover rate, and labor costs.

[0062] The beneficial effects of the present invention are as follows: the present invention can optimize the storage, turnover and sorting out of warehouse processes of steel plates in the yard by introducing pre-lane management, reduce the number of steel plate turnovers and shorten the search time for target steel plates, thereby improving the efficiency of steel plate stacking management; through systematic pre-lane stacking management, it can optimize the pile layout of the yard, avoid idle piles and overlapping pile functions, ensure the rationality and consistency of the stacking of steel plates in the warehouse, thereby maximizing the use of limited pile resources and optimizing the utilization rate of piles in the yard; by introducing a pile inventory balancing management strategy, the position and state of the steel plate can be detected and adjusted in real time, the accuracy and transparency of material tracking can be improved, and the dynamic balancing ability of the steel plate inventory can be enhanced; through the pre-lane stacking management of steel plates, the disorder of steel plate stacking caused by human operation can be effectively reduced, and the steel plates can be avoided from being stacked due to The problems of inventory backlog and stacking caused by disorderly stacking can reduce the steel plate storage cycle and daily loss, improve the capital utilization rate of shipbuilding companies, and reduce the company's production costs; by quickly locating the distribution area of ​​steel plates and formulating corresponding turnover and outbound strategies, the flexible scheduling ability of the yard can be strengthened, and the yard's response agility to plan changes can be improved; by dynamically collecting and analyzing the data on steel plate use and storage, and then expanding its knowledge base, the real-time inventory pile position and pile position quantity display can provide multi-dimensional steel plate inventory information and labor cost analysis, optimize steel plate procurement plan formulation and personnel dispatch plan; overall, it improves the overall efficiency and intelligence of shipbuilding companies' steel plate management, provides more flexible and elastic production resource scheduling, and improves the collaborative operation efficiency of various links such as steel plate warehousing, turnover and outbound. BRIEF DESCRIPTION OF THE DRAWINGS

[0063] Figure 1 It is a module diagram of a shipbuilding steel plate pre-lane stacking management system based on a knowledge base of the present invention;

[0064] Figure 2 It is another module diagram of a shipbuilding steel plate pre-lane stacking management system based on a knowledge base of the present invention;

[0065] Figure 3 It is a specific module diagram of the data acquisition module in the present invention;

[0066] Figure 4 It is a specific module diagram of the category model building module in the present invention;

[0067] Figure 5 It is a specific module diagram of the demand forecasting and resource dynamic balancing module in the present invention. DETAILED DESCRIPTION

[0068] The technical solution of the present invention will be described clearly and completely below in conjunction with the accompanying drawings. In the description of the present invention, it should be noted that the terms "center", "up", "down", "left", "right", "vertical", "horizontal", "inside", "outside" and the like indicate directions or positional relationships based on the directions or positional relationships shown in the accompanying drawings, which are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific direction, be constructed and operated in a specific direction, and therefore cannot be understood as a limitation on the present invention. In addition, the terms "first", "second", and "third" are used for descriptive purposes only and cannot be understood as indicating or implying relative importance.

[0069] The present invention will be further described below in conjunction with the accompanying drawings.

[0070] The knowledge-based shipbuilding steel plate pre-lane stacking management system, by mobilizing the three engines of data collection, model building and demand forecasting, combined with steel plate stacking operations, promotes the standardization and intelligence of steel plate warehousing, inventory management and outbound management, integrates site resource constraints and cost control, realizes the optimized management of the entire process of steel plate stacking, and accurately improves the management level of steel plate yards.

[0071] like Figure 1 As shown, a shipbuilding steel plate pre-lane stacking management system based on a knowledge base is based on the shipbuilding company's own data center and includes: a data acquisition module 1, a category model building module 2, a demand forecasting and resource dynamic balancing module 3, a data presentation module 4 and a result analysis module 5.

[0072] The data acquisition module 1 is used to collect and record various dynamic data of the steel plates in the yard in real time, clean, verify and store the dynamic data by combining big data processing technology and inventory data attribute rules, and generate a full-dimensional information knowledge base of the steel plates in the yard through data fusion technology and combining the attributes of the steel plates in the inventory.

[0073] The data acquisition module 1 integrates advanced sensor technologies, such as QR code scanning and yard visual recognition, to ensure the accuracy and real-time data collection of steel plates and yard status. In addition, the system has efficient data transmission and storage capabilities, supporting high-concurrency data processing in a big data environment.

[0074] like Figure 3As shown, the data collection module 1 includes: an information collection unit 11, an information transmission unit 12, an information processing unit 13 and a knowledge base generation unit 14.

[0075] The information collection unit 11 is used to collect and record various dynamic data of the steel plates in the yard in real time.

[0076] In the embodiment, the dynamic data includes but is not limited to the location, quantity, size, weight and warehouse entry and exit time of the steel plates;

[0077] On-site staff can scan the printed barcodes on the steel plates through industrial PADs, QR code scanners and laser measuring instruments to read and write the location, quantity, size, weight and entry and exit time of the steel plates in real time. They can also monitor the site in real time through the stacking depth camera and environmental camera to provide support for subsequent steel plate flipping operations and stacking planning.

[0078] The information transmission unit 12 is used to transmit the collected dynamic data to the information processing unit 13 via a wireless communication network.

[0079] In an embodiment, the wireless communication network includes but is not limited to Wi-Fi, Bluetooth and LoRa.

[0080] The information processing unit 13 is used to clean, verify and store dynamic data by combining big data processing technology and inventory data attribute rules to ensure the accuracy of the data.

[0081] The knowledge base generation unit 14 is used to generate a full-dimensional information knowledge base of the steel plates in the yard by using data fusion technology and combining the properties of the steel plates in the inventory.

[0082] Category model construction module 2 uses data analysis tools and Python data processing packages to build a category model for steel plates in the yard. A template is established based on the ship type and incorporated into the model knowledge base. Then, the feature information of the new steel plates in the yard and in the warehouse is extracted to mark the pre-lanes of the steel plates.

[0083] like Figure 4 As shown, the category model construction module 2 includes: a first ship template unit 21, a template library self-learning unit 22, an online steel plate marking unit 23 and an offline steel plate marking unit 24.

[0084] The first-build ship template unit 21 is used to establish a number of first-build ship templates and then generate a first-build ship template knowledge base.

[0085] In the embodiment, the confirmation of the first-made ship is divided into two situations, namely the system initialization situation and the system routine operation situation. Among them, the system initialization situation, that is, during the first use, the staff imports the first-made ship number in the past orders, and queries the final channel flow direction of the first-made ship steel plate in the steel plate outbound log according to the first-made ship number, and then forms the first-made ship template; the system routine operation situation, that is, during the routine operation of the system, for the newly appeared ship number, if it is a series ship, the first-made ship template is used for subsequent judgment, otherwise a new first-made ship template is established, and in the subsequent operation, the template content is supplemented according to the channel flow direction of the steel plate outbound.

[0086] The template library self-learning unit 22 is used to establish an additional template for the first ship type when the steel plates of the series ships exceed the range of the first ship template, and include such steel plates in the additional template, and track the final outbound flow direction of the steel plates in real time, and add the data in the additional template to the first ship template to form the self-learning capability of the yard steel plate category model.

[0087] The online steel plate marking unit 23 is used to utilize similarity information extraction to form a key field dictionary of the material, thickness, width, length and segment number information of each steel plate in the first ship template. The newly-entered steel plates and the inventory steel plates are matched by the above key fields, and the steel plate lane information in the template is reversely queried to confirm the pre-lane matching information of the current incoming or inventory steel plates.

[0088] The offline steel plate marking unit 24 has the same marking method as the online steel plate marking unit 23. During marking, the inventory data and the first ship template knowledge base need to be exported. Then, data filling and calculation result analysis are realized by using Python Pandas, openpyxl and matplotl ib and other libraries.

[0089] The purpose of pre-laning marking is to enable series of ship plates or steel plates similar to the same series of ship plates to be stacked in an orderly and standardized manner and meet the needs of production planning; template construction is mainly to achieve pre-laning marking of steel plates, using data analysis tools and Python data processing packages to form the self-learning ability of the yard steel plate category, establish templates based on ship types and incorporate them into the model knowledge base, and then realize precise pre-laning marking of steel plates by extracting the characteristic information of new and existing steel plates in the yard.

[0090] The demand forecasting and resource dynamic balancing module 3 is used to form the distribution of stockpile positions in the yard through the collected dynamic data and the stacking position projection method, establish the steel plate stockpile position model, and solve the rigid demand for the pile positions according to the number of pre-lane labeled steel plates in the yard, combined with the number of steel plates stacked in the stacking position and the height constraint conditions, for the steel plate stockpile position model; it is also used to extract the pre-lane notes for the steel plates that have a recent outbound delivery demand through the steel plate preprocessing plan and preprocessing time requirements, and put them into the corresponding pre-lane inventory pile positions.

[0091] The purpose of demand forecasting and dynamic resource balancing is to improve the utilization rate of the yard and the efficiency of steel plate storage and warehousing. By combining the production plan requirements, the distribution structure of the yard is adjusted; by optimizing the storage structure and inventory cost of steel plates in the yard, the comprehensive utilization rate of steel plate yards is improved; on the basis of integrating the plan and the balance of yard resources, data dashboards and manual dispatching plan recommendations are provided to improve the management efficiency of steel plate yards from a three-dimensional perspective and achieve reasonable allocation of resources.

[0092] like Figure 5 As shown, the demand prediction and resource dynamic balancing module 3 includes: a steel plate yard stacking model establishment unit 31, a pile position demand prediction unit 32 and a pile position resource dynamic balancing unit 33.

[0093] The steel plate yard position model building unit 31 is used to collect the yard image through the depth of field camera, and form the yard pile position distribution in combination with the pile position projection method, and consider the pile position height constraint and weight constraint to establish the steel plate yard position model.

[0094] The pile position demand prediction unit 32 solves the rigid demand for pile positions according to the number of pre-lane labeled steel plates in the yard, combined with the number of steel plates stacked in the stack and the height constraint conditions, for the steel plate yard stacking model, and adds 20% redundancy on the basis of the rigid demand to form the demand quantity for specific pre-lane steel plate stacking positions.

[0095] The pile resource dynamic balancing unit 33 is used to extract pre-lane notes for steel plates that have a recent delivery demand based on the steel plate pre-processing plan and pre-processing time requirements.

[0096] In the embodiment, the pile position area close to the roller conveyor outbound position is set as the corresponding pre-lane separation remark pile position area, that is, the pre-lane separation outbound pile position, and in the process of warehousing and turning over, the pre-processing plan requirements and the same pre-lane separation remark steel plates are put into the pre-lane separation pile position area, and the steel plates without pre-processing plan requirements are put into the corresponding pre-lane separation inventory pile position;

[0097] During the process of steel plate stacking, the pile height and total weight are automatically measured, and the number of steel plates in each pre-divided pile position is balanced based on the principle of balanced height priority. When the overall height of the pile area is too high or the total weight is too heavy, the idle pile positions are automatically transferred to the corresponding pre-divided reserve pile positions.

[0098] The data presentation module 4 is used to obtain data results in the form of interactive charts by comprehensively calculating and analyzing the steel plate inventory data.

[0099] In the embodiment, the steel plate inventory data is comprehensively calculated and analyzed based on the warehouse entry and exit time, inventory cycle, number of plate turnovers, demand changes, and lane usage adjustments. The data results include the steel plate inventory capital occupancy rate, steel plate turnover cycle, steel plate turnover rate, and labor costs.

[0100] The result analysis module 5 is used to formulate a recommended plan for the use of the yard pile position according to the depth-first algorithm in terms of warehousing, and to formulate an accurate stacking position turnover plan according to the breadth-first algorithm in terms of outbound delivery based on the data results.

[0101] like Figure 2 As shown, a shipbuilding steel plate pre-lane stacking management system based on a knowledge base also includes: a system management module 6, an operation management module 7, an inventory management module 8, a log management module 9 and a report management module 10;

[0102] The system management module 6 mainly includes:

[0103] Pile position management, used to set pile position type, pile position lane notes, pre-lane notes, storage materials, pile position steel plate pretreatment start date, pile position steel plate pretreatment end date;

[0104] Lane / pre-lane note management, used to create lane / pre-lane note types;

[0105] Pile type management, used to create pile type tables, including inbound, outbound, and flip-over;

[0106] Series ship management, used to create a series ship information table, including the series ship number and the first ship number;

[0107] Completed ship management, used to create a completed ship information table, including the issuance of project numbers, issuance of section numbers, and lane notes;

[0108] Ship type category management, used to create ship type information tables, including completed ships and first-built ships;

[0109] Ship information management, used to create a ship information table, including ship number, ship type, classification society, ship type category and ship owner;

[0110] The operation management module 7 mainly includes:

[0111] Pre-arrival list management is used to import the pre-arrival list, create steel plate information in the database, generate steel plate storage date, storage number and pre-lane remarks, record the pre-arrival quantity, actual arrival quantity, and calculate the arrival rate;

[0112] Management of incoming difference lists, used to record the situation of over-stocking and missing plates, and collect the arrival information of steel plates fed back by PAD on-site;

[0113] Management of pallet unloading work orders, generating and tracking work order information, generating and pushing pallet unloading work orders to the on-site PAD based on the pre-arrival list and pre-lane notes, and on-site staff follow up on the unloading status and return information through the PAD. The pallet unloading work order function updates the completion rate and completed quantity;

[0114] Management of panel flipping work orders, generating and tracking work order information, generating panel flipping work orders based on pre-processing date and lane note type, and pushing them to the on-site PAD. On-site staff follow up on the panel flipping situation and return information through PAD. The panel flipping work order function updates the completion rate and completed quantity;

[0115] Outbound work order management: generate and track work order information. Generate an outbound work order based on the pre-processing date, lane note type, and outbound location, and push it to the on-site PAD. On-site staff follow up on the outbound situation and return information through the PAD. The outbound work order function updates the completion rate and completed quantity.

[0116] Inventory management module 8 mainly includes:

[0117] Steel plate inventory, used to record steel plate inventory information;

[0118] Pile position inventory, used to record the number of steel plates in each pile position, pile position height and steel plate inventory information in the pile position;

[0119] Pre-lane inventory, used to record the pre-lane pile position information used for each pre-lane, including the number of pre-lane piles, the use of pre-lane pile positions, pre-lane height warnings, and the number of steel plates hit in the pre-lane pile positions;

[0120] The log management module 9 mainly includes:

[0121] Plate moving log, used to record the movement of steel plates in the yard;

[0122] Quality feedback log, used to record the excess / shortage of steel plates in the yard;

[0123] The storage location configuration log is used to record the changes in storage location categories within the yard;

[0124] The report management module 10 mainly includes:

[0125] Digital twin, used to digitally present the yard information, provide the information of the stacking location and the inventory information of the steel plates in the stacking location;

[0126] The data dashboard is used to present the yard information in reports, including statistics and display of inventory turnover rate, number of plate turnovers, labor costs, equipment, completion status of inbound / outbound orders, and steel plate arrival rate information.

[0127] The present invention can optimize the storage, turnover and sorting out of warehouse processes of steel plates in the yard by introducing pre-lane management, reduce the number of steel plate turnovers and shorten the search time for target steel plates, thereby improving the efficiency of steel plate stacking management; through systematic pre-lane stacking management, it can optimize the pile layout of the yard, avoid idle piles and overlapping pile functions, ensure the rationality and consistency of the stacking of steel plates in the warehouse, thereby maximizing the use of limited pile resources and optimizing the utilization rate of piles in the yard; by introducing a pile inventory balancing management strategy, the position and state of the steel plate can be detected and adjusted in real time, the accuracy and transparency of material tracking can be improved, and the dynamic balancing ability of the steel plate inventory can be enhanced; Storage management can effectively reduce the disordered stacking of steel plates caused by human operation, avoid inventory backlogs and stacking caused by disordered stacking of steel plates, reduce the steel plate storage cycle and daily loss, improve the capital utilization rate of shipbuilding companies, and reduce the company's production costs; by quickly locating the steel plate distribution area and formulating corresponding plate turnover and outbound strategies, the flexible scheduling ability of the yard is strengthened, and the yard's response agility to plan changes is improved; by dynamically collecting and analyzing data on the use and storage of steel plates, and then expanding its knowledge base, real-time inventory pile positions and pile position quantity display can provide multi-dimensional steel plate inventory information and labor cost analysis, and optimize steel plate procurement plan formulation and personnel dispatch plans.

[0128] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that the technical solutions described in the above embodiments may still be modified, or some or all of the technical features may be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. The shipbuilding steel plate pre-lane stacking management system based on the knowledge base is based on the shipbuilding company's own data center and is characterized by: include: The data acquisition module is used to collect and record various dynamic data of steel plates in the yard in real time. The dynamic data is cleaned, verified and stored by combining big data processing technology and inventory data attribute rules. The full-dimensional information knowledge base of steel plates in the yard is generated by combining data fusion technology and the attributes of steel plates in inventory. The category model building module uses data analysis tools and Python data processing packages to build a category model for steel plates in the yard. The template is established based on the ship type and incorporated into the model knowledge base. Then, the pre-lane marking of the steel plates is performed by extracting the feature information of the steel plates newly stored in the yard and in the warehouse. The demand forecasting and resource dynamic balancing module is used to form the distribution of stockpile positions in the yard through the collected dynamic data and the stacking projection method, establish the steel plate stockpile model, and solve the rigid demand for pile positions according to the number of pre-lane labeled steel plates in the yard, the number of steel plates stacked in the stacking position and the height constraint conditions. It is also used to extract the pre-lane notes for the steel plates with recent outbound delivery demand through the steel plate pre-processing plan and pre-processing time requirements, and put them into the corresponding pre-lane inventory pile positions; Data presentation module, used to obtain data results in the form of interactive charts by comprehensive calculation and analysis of steel plate inventory data; The result analysis module is used to formulate a recommended plan for the use of yard pile positions based on the depth-first algorithm for incoming warehousing and to formulate an accurate pile position turnover plan based on the breadth-first algorithm for outgoing warehousing based on the data results.

2. The shipbuilding steel plate pre-lane stacking management system based on the knowledge base according to claim 1 is characterized in that: Also includes: System management module, job management module, inventory management module, log management module and report management module; The system management module mainly includes: Pile position management, used to set pile position type, pile position lane notes, pre-lane notes, storage materials, pile position steel plate pretreatment start date, pile position steel plate pretreatment end date; Lane / pre-lane note management, used to create lane / pre-lane note types; Pile type management, used to create pile type tables, including inbound, outbound, and flip-over; Series ship management, used to create a series ship information table, including the series ship number and the first ship number; Completed ship management, used to create a completed ship information table, including the issuance of project numbers, issuance of section numbers, and lane notes; Ship type category management, used to create ship type information tables, including completed ships and first-built ships; Ship information management, used to create a ship information table, including ship number, ship type, classification society, ship type category and ship owner; The job management module mainly includes: Pre-arrival list management is used to import the pre-arrival list, create steel plate information in the database, generate steel plate storage date, storage number and pre-lane remarks, record the pre-arrival quantity, actual arrival quantity, and calculate the arrival rate; Management of incoming difference lists, used to record the situation of over-stocking and missing plates, and collect the arrival information of steel plates fed back by PAD on-site; Management of pallet unloading work orders, generating and tracking work order information, generating and pushing pallet unloading work orders to the on-site PAD based on the pre-arrival list and pre-lane notes, and on-site staff follow up on the unloading status and return information through the PAD. The pallet unloading work order function updates the completion rate and completed quantity; Management of panel flipping work orders, generating and tracking work order information, generating panel flipping work orders based on pre-processing date and lane note type, and pushing them to the on-site PAD. On-site staff follow up on the panel flipping situation and return information through PAD. The panel flipping work order function updates the completion rate and completed quantity; Outbound work order management: generate and track work order information. Generate an outbound work order based on the pre-processing date, lane note type, and outbound location, and push it to the on-site PAD. On-site staff follow up on the outbound situation and return information through the PAD. The outbound work order function updates the completion rate and completed quantity. The inventory management module mainly includes: Steel plate inventory, used to record steel plate inventory information; Pile position inventory, used to record the number of steel plates in each pile position, pile position height and steel plate inventory information in the pile position; Pre-lane inventory, used to record the pre-lane pile position information used for each pre-lane, including the number of pre-lane piles, the use of pre-lane pile positions, pre-lane height warnings, and the number of steel plates hit in the pre-lane pile positions; The log management module mainly includes: Plate moving log, used to record the movement of steel plates in the yard; Quality feedback log, used to record the excess / shortage of steel plates in the yard; The storage location configuration log is used to record the changes in storage location categories within the yard; The report management module mainly includes: Digital twin, used to digitally present the yard information, provide the information of the stacking location and the inventory information of the steel plates in the stacking location; The data dashboard is used to present the yard information in reports, including statistics and display of inventory turnover rate, number of plate turnovers, labor costs, equipment, completion status of inbound / outbound orders, and steel plate arrival rate information.

3. The shipbuilding steel plate pre-lane stacking management system based on knowledge base according to claim 2 is characterized in that: The data acquisition module comprises: Information collection unit, used to collect and record various dynamic data of steel plates in the yard in real time; An information transmission unit, used to transmit the collected dynamic data to the information processing unit via a wireless communication network; The information processing unit is used to clean, verify and store dynamic data by combining big data processing technology and inventory data attribute rules; The knowledge base generation unit is used to generate a full-dimensional information knowledge base of the steel plates in the yard by using data fusion technology and combining the properties of the steel plates in the inventory.

4. The shipbuilding steel plate pre-lane stacking management system based on the knowledge base according to claim 3 is characterized in that: In the information collection unit, dynamic data includes but is not limited to the location, quantity, size, weight and in-and-out time of the steel plates; On-site staff can scan the printed barcodes on the steel plates through industrial PADs, QR code scanners and laser measuring instruments to read and write the location, quantity, size, weight and in and out time of the steel plates in real time, and monitor the site in real time through the stacking scene depth camera and environmental camera; In the information transmission unit, the wireless communication network includes but is not limited to Wi-Fi, Bluetooth and LoRa.

5. The shipbuilding steel plate pre-lane stacking management system based on knowledge base according to claim 2 is characterized in that: The category model building module includes: The first-build ship template unit is used to establish a number of first-build ship templates and then generate a first-build ship template knowledge base; The template library self-learning unit is used to establish an additional template for the first-made ship type when the steel plates of the series ships exceed the range of the first-made ship template, and include such steel plates in the additional template, and track the final outbound flow direction of the steel plates in real time, and add the data in the additional template to the first-made ship template to form the self-learning capability of the yard steel plate category model; The online steel plate marking unit is used to utilize similarity information extraction to form a key field dictionary of the material, thickness, width, length and segment number information of each steel plate in the first ship template. The newly-entered steel plates and the inventory steel plates are matched with the above key fields, and the steel plate lane information in the template is reversely queried to confirm the pre-lane matching information of the current incoming or inventory steel plates.

6. The shipbuilding steel plate pre-lane stacking management system based on knowledge base according to claim 5 is characterized in that: In the first-ship template unit, the first-ship confirmation is divided into two situations, namely, system initialization situation and system normal operation situation, wherein: System initialization, that is, during the first use, the staff imports the first ship number in the past order, and queries the final lane flow direction of the first ship steel plate in the steel plate outbound log according to the first ship number, thereby forming the first ship template; The system's normal operation means that during the system's normal operation, for a newly appeared ship number, if it is a series ship, subsequent judgment will be made according to the first-made ship template, otherwise a new first-made ship template will be established, and in subsequent operation, the template content will be supplemented according to the flow direction of the steel plate out of the warehouse.

7. The shipbuilding steel plate pre-lane stacking management system based on knowledge base according to claim 5 is characterized in that: The category model building module also includes: an offline steel plate marking unit, which has the same marking method as the online steel plate marking unit. During marking, the inventory data and the first-made ship template knowledge base need to be exported.

8. The shipbuilding steel plate pre-lane stacking management system based on knowledge base according to claim 5 is characterized in that: The demand forecasting and resource dynamic balancing module includes: The steel plate yard position model building unit is used to collect the yard image through the depth of field camera, and form the yard pile position distribution in combination with the pile position projection method, and consider the pile position height constraint and weight constraint to establish the steel plate yard position model; The pile position demand prediction unit calculates the rigid demand for pile positions based on the number of pre-lane labeled steel plates in the yard, the number of steel plates stacked in the stacking position, and the height constraint conditions, and calculates the rigid demand for pile positions for the steel plate yard stacking position model. On the basis of the rigid demand, 20% redundancy is added to form the demand quantity for specific pre-lane steel plate stacking positions. The pile resource dynamic balancing unit is used to extract pre-lane notes for steel plates that have a recent delivery demand based on the steel plate pretreatment plan and pretreatment time requirements.

9. The shipbuilding steel plate pre-lane stacking management system based on knowledge base according to claim 8 is characterized in that: In the pile position resource dynamic balancing unit, the pile position area close to the roller line outbound position is set as the corresponding pre-lane separation remark pile position area, that is, the pre-lane separation outbound pile position, and during the warehousing and plate turnover process, the pre-processing plan requirements and the same pre-lane separation remark steel plates are placed in the pre-lane separation pile position area, and for the steel plates without pre-processing plan requirements, they are placed in the corresponding pre-lane separation inventory pile position; During the process of steel plate stacking, the pile height and total weight are automatically measured, and the number of steel plates in each pre-divided pile position is balanced based on the principle of balanced height priority. When the overall height of the pile area is too high or the total weight is too heavy, the idle pile positions are automatically transferred to the corresponding pre-divided reserve pile positions.

10. The shipbuilding steel plate pre-lane stacking management system based on knowledge base according to claim 8 is characterized in that: In the data presentation module, the steel plate inventory data is comprehensively calculated and analyzed based on the storage and access time, storage cycle, number of plate turnovers, demand changes, and lane usage adjustments. The data results include the steel plate inventory capital occupancy rate, steel plate turnover cycle, steel plate turnover rate, and labor costs.

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