Container terminal resource overall planning and optimizing method based on operation actuarial model

By adopting a resource coordination and optimization method based on the operational actuarial model in the container terminal, the problem of inaccurate resource allocation and execution in the existing technology is solved, and more efficient operation efficiency and resource optimization are achieved.

CN119623782AInactive Publication Date: 2025-03-14DALIAN CONTAINER TERMINAL CO LTD +1

Patent Information

Application Number
CN202510169135.9
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-02-17
Publication Date
2025-03-14
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

The prior art relies on the estimated average efficiency of the shore and bridges and the ship duration when planning ship arrival operations in container terminals, resulting in huge challenges in resource allocation and accurate execution.

Method used

The container terminal resource coordination and optimization method based on the operational actuarial model is adopted. By constructing the operation time actuarial model of the shore bridge and the yard bridge, the operating efficiency of the shore bridge and the yard bridge is evaluated, and the operating efficiency of the container terminal is finally determined.

Benefits of technology

A more accurate assessment of the operating efficiency of container terminals has been achieved, key business processes for berths, ships, yards and resources have been optimized, the comprehensive efficiency of single-machine stations and ships have been improved, and the vehicle's time in port has been reduced.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure SMS_76
    Figure SMS_76
  • Figure SMS_77
    Figure SMS_77
  • Figure SMS_78
    Figure SMS_78
Patent Text Reader

Abstract

The invention discloses a container terminal resource overall planning optimization method based on an operation actuarial model, and the method comprises the steps: constructing a quay crane and field crane parameter set, constructing a quay crane and field crane operation time actuarial model according to the parameter set, and constructing a container quay crane and field crane basic operation time actuarial model. The calculation precision of the field bridge and shore bridge operation time actuarial model is improved, finally, an operation efficiency evaluation model is built through the model, the most efficient method is obtained, and the purposes of optimizing berths, ships, storage yards and resource key business processes and finally achieving wharf lean operation are achieved through operation actuarial logic and strategy guidance.
Need to check novelty before this filing date? Find Prior Art

Description

Technical Field

[0001] The present invention relates to the technical field of port management, and in particular to a method for optimizing the overall planning of container terminal resources based on an operation actuarial model. Background Art

[0002] When planning ship arrival operations at container terminals, they usually rely on the estimated average efficiency of quay cranes and yard cranes as well as ship schedules to meet service demand. However, this model often faces huge challenges in resource allocation and accurate execution. Summary of the invention

[0003] The present invention solves the problem that the prior art relies on the estimated average efficiency of quay cranes and yard cranes and ship schedules for planning, but this model often faces huge challenges in resource allocation and accurate execution.

[0004] In order to achieve the above object, the present invention provides a method for optimizing container terminal resources based on an operation actuarial model, comprising: S1: Constructing actuarial model of operation; S1-1: Construct the quay crane parameter set; Define Q as the set of quay crane operation types, define D as the set of operation targets, define A as the set of operation box attributes, define L as the set of operation areas, define B as the set of operation bay attributes, define O as the operation mode, and define other parameters of the quay crane; S1-2: Construct an actuarial model for quay crane operation time; The operation time of the quay crane is composed of the time for moving the hatch cover, the time for moving the quay crane trolley, the time for raising and lowering the boom, the time for locking the cage, and the basic operation time of the container quay crane. S1-3: Construct field bridge parameter set; Define Y as the field crane operation type set, define D as the operation target set, define A as the operation box attribute set, and define O as the operation mode, where the definition contents of D operation target set, A operation box attribute set, and O operation mode are the same as those in step S1-1, and define other parameters of the field crane; S1-4: Construct actuarial model of yard bridge operation time; The yard crane operation time consists of the yard crane trolley movement time and the container yard crane basic operation time; S2: Constructing a model for evaluating operational efficiency; The operating efficiency of a container terminal is related to the operating efficiency of quay cranes and yard cranes, including: Quay crane operation efficiency = total operation time of quay crane / number of quay crane operation containers; Field crane operation efficiency = total field crane operation time / number of field crane operation boxes; According to the total operation time of the quay crane calculated by the operation, when the ship type is j and the usage type is When the quay crane is operating, where n=1, 2, 3, 4, 5, the quay crane operation efficiency based on operation actuarial calculation is E_Q; According to the total operation time of the yard crane calculated by the operation, when the port collection time period is h and the usage type is When the field crane is operated, where n=1, 2, 3, 4, 5, 6, 7, 8, the field crane operation efficiency based on operation actuarial calculation is E_C; The final operating efficiency of the container terminal is E=min{E_Q, E_C}.

[0005] In the preferred method, Q is defined as a set of quay crane operation types, { , , , , },in, Indicates loading operation port tug, Indicates the unloading operation port tug, It means that the ship is directly overturned. Indicates direct loading operation and external dragging. Indicates direct-take operation outbound drag; define D as the set of operation targets, { , , , , },in, Indicates a single lift of a 20-foot container. Indicates 20-foot container double lift, Indicates a single lift of a 40-foot container. Indicates a single lift of a 45-foot container. represents a single lift of a 53-foot container; define A as the attribute set of the operation box, { , , , , , , , , , , , },in, Indicates an empty box. Indicates a heavy box, Represents a refrigerator. Indicates super high box, Indicates extra wide box, Indicates extra long box. Indicates extra-high and extra-wide boxes. Indicates a flatbed container. Indicates frame box, Indicates a tank container with a bottom beam. Indicates a tank container without a bottom beam. represents a dangerous goods box; define L as the set of operating areas, { , , } ,in, On the deck, Indicates the normal cabin. Indicates the cabin without slideway; define B as the set of operation bay attributes, { , , },in, Indicates the normal position, Indicates the adjacent bay positions of the boom. represents the adjacent bays of the rudder tower; O is defined as the operation mode, { , , , , } ,in, Indicates direct lifting. Indicates wire hoisting. Indicates super high hanger hoisting, Indicates sea crane hoisting. Indicates bare piece lifting; defines other parameters of the quay crane, including: trans is the higher the number of floors, 3 floors and below are regarded as 0, 4 floors are 4, 5 floors are 5, and so on; tier is the floor number where the container is located; stack is the stack number where the container is located; is the additional time for operating a unit container when the ship type is j; is the additional time for operating a unit container when the quay crane type is k; Ω is the set of containers to be operated; J is the set of ship types; K is the set of quay crane types; T is the total operation time, unit: second; is the basic operation time of the quay crane for container i, unit: seconds; is the hatch cover movement time, unit: second; is the moving time of the quay crane trolley, unit: second; The time it takes for the quay crane to raise its boom, in seconds; The time to lock the cage, unit: seconds.

[0006] The operation time of the quay crane includes: T1: Hatch cover movement time, the formula is: Among them, the single operation time is the input parameter, and the number of hatch cover opening and closing is calculated according to the operation sequence of the quay crane; T2: The time for the gantry crane to move. The formula is: Among them, the moving speed of the quay crane trolley is the input parameter, and the moving distance of the quay crane trolley is calculated and generated according to the quay crane operation sequence and the bay number; T3: The time for the quay crane to raise its boom, the formula is: Among them, the single lifting and lowering time is the input parameter, and the number of times the quay crane raises the boom is calculated based on the ship structure rudder, chimney, main mast position data, as well as the quay crane operation sequence and bay number; T4: The time to lock the cage, which is assigned according to the actual situation of the ship's operation; T5: Container quay crane basic operation time; T5-1: Construct a time calculation model for basic operation of container quay cranes. The steps are as follows: T5-1-1: Data collection and preprocessing; Collect data: collect historical operation data containing all fields from the database and operation record system, including the quay crane operation type set Q, operation target set D, operation box attribute set A, operation area set L, operation bay attribute set B, container layer number tier, container stack number stack, higher layer number trans and operation mode O; Quay crane feature coding: feature coding is performed on each field of the data. The value corresponding to the quay crane operation type Q set of a certain task data is , the feature code is expressed in the numerical form of [1, 0, 0, 0, 0]; the corresponding value is , the feature code is expressed as a numerical form of [0, 1, 0, 0, 0]; Constructing a training set for quay cranes: For each piece of collected historical data, i.e., container tasks and actual operation time of quay cranes, we encode the features of the quay cranes and record the actual time of the quay cranes operating the container tasks. Each record will be used as a sample in the training set. T5-1-2: Build and train the model; Basic operation time of quay crane for container It is related to the container quay crane operation type set Q, operation target set D, operation box attribute set A, operation area set L, operation bay attribute set B, container layer number tier, container stack number stack, higher layer number trans and operation mode O, and is calculated. The formula is as follows: Where f represents the sum of the additional time of Q, D, A, L, B, tier, stack, trans, and O. Based on formula (1-4), the quay crane training set is used to train and obtain the results when Q, D, A, L, B, tier, stack, trans, and O take different values. In summary, the actuarial model formula for the basic operation time of container quay cranes is as follows: in, Related to the size of the ship, the length of the ship is in the range of [0-250] meters. =0, in the interval [250-300], =2, in the interval [300-350], =3; It is related to the type of quay crane. For ordinary quay crane, = 0, for remote controlled quay crane, = 2.

[0007] Define Y as the set of field bridge operation types, { , , , , , , , },in, Indicates that the inner collection card is installed. Indicates unloading the internal card. It means the box is turned over. Indicates cross-bay transfer box, Indicates the installation of external card. Indicates unloading of external container card. It means unmanned container truck. Indicates unloading of unmanned container trucks; defines other parameters of the yard bridge, including: trans is the higher the number of floors, 3 floors and below are regarded as 0, 4 floors are 4, 5 floors are 5, and so on; It is the additional time of the container of the operating unit when the port collection period belongs to the h time period; is the additional time of the operating unit container when the yard operation equipment type is x; Ω is the set of containers to be operated; H is the set of port collection time periods; X is the set of yard operation equipment types; T' is the total yard operation time, unit: seconds; is the basic operation time of the yard for container i, unit: seconds; It is the moving time of the yard crane trolley, in seconds; tier is the layer number where the container is located, and stack is the stack number where the container is located.

[0008] The crane operation time includes: M1: The time for the crane to move, the formula is: Among them, the yard equipment shell changing moving speed and the average transfer time of the yard equipment are input parameters, and the yard equipment shell changing moving distance and the number of transfers of the yard equipment are calculated and generated according to the operation sequence of the yard equipment and the shell position number; M2: Container yard bridge foundation operation time; M2-1: Construct a time calculation model for basic operation of container yard bridge. The steps are as follows: M2-1-1: Data collection and preprocessing; Collect data: collect historical operation data containing all fields from the database and operation record system, including the yard crane operation type set Y, the operation target set D, the operation box attribute set A, the layer number tier where the container is located, the stack number stack where the container is located, the higher the number of layers trans, and the operation mode O; Bridge feature coding: feature coding is performed on each field of the data. The bridge operation type set Y of a task data has a corresponding value , the feature code is expressed in the numerical form of [1, 0, 0, 0, 0, 0, 0], and the corresponding value is ,The feature code is expressed in the numerical form of [0, 1, 0, 0, 0, 0, 0]; Constructing a training set for a crane: For each piece of collected historical data, i.e., container task and actual crane operation time, perform crane feature encoding and record the actual time of the crane operation for the container task. Each record will be used as a sample in the training set. M2-1-2: Build and train the model; Basic operation time of container i in the yard It is related to the container yard crane operation type set Y, operation target set D, operation box attribute set A, container layer number tier, container stack number stack, higher layer number trans and operation mode O, and is calculated. The formula is as follows: Where f represents the sum of the additional time of Y, D, A, tier, stack, trans, and O. Based on formula (1-7), the field bridge training set is used for training, and finally the results are obtained when Y, D, A, tier, stack, trans, and O take different values. In summary, the actuarial model formula for the basic operation time of container yard bridge is as follows: in, Related to the port collection time, which is in the range of [0700-1400], =2, in the interval [1400-1800], =3, in the range [1800-2400], =5, in the interval [2400-0700], =0; It is related to the type of yard operation equipment, such as electric yard bridge, oil yard bridge, electric empty container stacker and oil empty container stacker. =0, automated rail crane, =3, reach stacker, =1.

[0009] According to formula (1-5), when the ship type is j and the usage type is When the quay crane is operating, the operating efficiency of the quay crane based on the operation actuarial calculation is: in, is the container volume of the quay crane operation. According to formula (1-8), when the port collection time period is h and the usage type is When the field crane is operated, the field crane operation efficiency based on operation actuarial calculation is: in, is the number of containers operated by the terminal crane, and the final operating efficiency of the container terminal is E=min{E_Q, E_C}.

[0010] In the preferred mode, the corresponding relationship between Q, D, A, L, B, tier, stack, trans, O and additional time is: for 10 seconds, for 10 seconds, for 10 seconds, 15 seconds, 30 seconds; is 8 seconds, for 10 seconds, for 10 seconds, is 12 seconds, 12 seconds; for 10 seconds, 15 seconds, 15 seconds, 28 seconds, 28 seconds, 28 seconds, 28 seconds, for 30 seconds, for 30 seconds, is 32 seconds, is 32 seconds, 35 seconds; for 20 seconds, for 30 seconds, 40 seconds; for 20 seconds, for 40 seconds, 40 seconds; for 10 seconds, 15 seconds, is 8 seconds, is 5400 seconds, The additional time for stack is 0 for the stack closest to the shore, and 1 second is added for each additional stack; the additional time for tier is 0 for the highest layer, and 3 seconds is added for each layer reduced; the additional time for trans is 0 for layers within 3, and 3 seconds is added for each layer added.

[0011] In the preferred mode, the corresponding relationship between Y, D, A, tier, stack, trans, O and additional time is: is 134 seconds, is 120 seconds, 90 seconds, is 180 seconds, 150 seconds, is 180 seconds, 135 seconds, 135 seconds; is 8 seconds, is 0 seconds, for 10 seconds, is 12 seconds, 12 seconds; for 10 seconds, for 10 seconds, for 10 seconds, for 30 seconds, for 30 seconds, for 30 seconds, for 30 seconds, for 30 seconds, for 30 seconds, for 30 seconds, for 30 seconds, 30 seconds; for 10 seconds, is 900 seconds, is 480 seconds, is 0 seconds, The additional time for stack is 0 for the stack closest to the lane, and 1 second for each additional stack; the additional time for tier is 0 for the highest layer, and 2 seconds for each layer reduced; the additional time for trans is 0 for layers within 3, and 2 seconds for each additional layer.

[0012] The beneficial effects of the present invention are as follows: The present invention proposes a container terminal operation efficiency evaluation model based on operation actuarial calculation. The model introduces actuarial logic, deeply analyzes the characteristics of operations such as loading, unloading, collecting containers, moving, and picking up containers, and accurately grasps each detail in the operation process of the quay crane and the yard crane, so as to more accurately evaluate the operation efficiency of the yard crane and the quay crane, and provide strong support for subsequent resource allocation and other decisions of the container terminal. Through operation actuarial logic and strategy guidance, the optimization of key business processes of berths, ships, yards, and resources is achieved, and finally lean terminal operations are achieved. The time vehicles spend in port is reduced by 16%, the comprehensive efficiency of a single quay crane is increased by 8%, and the ship operation efficiency is increased by 15%. DETAILED DESCRIPTION

[0013] A method for optimizing container terminal resources based on an operation actuarial model, comprising: S1: Constructing actuarial model of operation; S1-1: Construct the quay crane parameter set; Define Q as the set of quay crane operation types, define D as the set of operation targets, define A as the set of operation box attributes, define L as the set of operation areas, define B as the set of operation bay attributes, define O as the operation mode, and define other parameters of the quay crane; S1-2: Construct an actuarial model for quay crane operation time; The operation time of the quay crane is composed of the time for moving the hatch cover, the time for moving the quay crane trolley, the time for raising and lowering the boom, the time for locking the cage, and the basic operation time of the container quay crane. S1-3: Construct field bridge parameter set; Define Y as the field crane operation type set, define D as the operation target set, define A as the operation box attribute set, and define O as the operation mode, where the definition contents of D operation target set, A operation box attribute set, and O operation mode are the same as those in step S1-1, and define other parameters of the field crane; S1-4: Construct actuarial model of yard bridge operation time; The yard crane operation time consists of the yard crane trolley movement time and the container yard crane basic operation time; S2: Constructing a model for evaluating operational efficiency; The operating efficiency of a container terminal is related to the operating efficiency of quay cranes and yard cranes, including: Quay crane operation efficiency = total operation time of quay crane / number of quay crane operation containers; Field crane operation efficiency = total field crane operation time / number of field crane operation boxes; According to the total operation time of the quay crane calculated by the operation, when the ship type is j and the usage type is When the quay crane is operating, where n=1, 2, 3, 4, 5, the quay crane operation efficiency based on operation actuarial calculation is E_Q; According to the total operation time of the yard crane calculated by the operation, when the port collection time period is h and the usage type is When the field crane is operated, where n=1, 2, 3, 4, 5, 6, 7, 8, the field crane operation efficiency based on operation actuarial calculation is E_C; The final operating efficiency of the container terminal is E=min{E_Q, E_C}.

[0014] Define Q as the set of quay crane operation types, { , , , , },in, Indicates loading operation port tug, Indicates the unloading operation port tug, It means that the ship is directly overturned. Indicates direct loading operation and external dragging. Indicates direct-take operation outbound drag; define D as the set of operation targets, { , , , , },in, Indicates a single lift of a 20-foot container. Indicates 20-foot container double lift, Indicates a single lift of a 40-foot container. Indicates a single lift of a 45-foot container. represents a single lift of a 53-foot container; define A as the attribute set of the operation box, { , , , , , , , , , , , },in, Indicates an empty box. Indicates a heavy box, Represents a refrigerator. Indicates super high box, Indicates extra wide box, Indicates extra long box. Indicates extra-high and extra-wide boxes. Indicates a flatbed container. Indicates frame box, Indicates a tank container with a bottom beam. Indicates a tank container without a bottom beam. represents a dangerous goods box; define L as the set of operating areas, { , , } ,in, On the deck, Indicates the normal cabin. Indicates the cabin without slideway; define B as the set of operation bay attributes, { , , },in, Indicates the normal position, Indicates the adjacent bay positions of the boom. represents the adjacent bays of the rudder tower; O is defined as the operation mode, { , , , , } ,in, Indicates direct lifting. Indicates wire hoisting. Indicates super high hanger hoisting, Indicates sea crane hoisting. Indicates bare piece lifting; defines other parameters of the quay crane, including: trans is the higher the number of floors, 3 floors and below are regarded as 0, 4 floors are 4, 5 floors are 5, and so on; tier is the floor number where the container is located; stack is the stack number where the container is located; is the additional time for operating a unit container when the ship type is j; is the additional time for operating a unit container when the quay crane type is k; Ω is the set of containers to be operated; J is the set of ship types; K is the set of quay crane types; T is the total operation time, unit: second; is the basic operation time of the quay crane for container i, unit: seconds; is the hatch cover movement time, unit: second; is the moving time of the quay crane trolley, unit: second; The time it takes for the quay crane to raise its boom, in seconds; The time to lock the cage, unit: seconds.

[0015] The operation time of the quay crane includes: T1: Hatch cover movement time, the formula is: Among them, the single operation time is the input parameter, and the number of hatch cover opening and closing is calculated according to the operation sequence of the quay crane; T2: The time for the gantry crane to move. The formula is: Among them, the moving speed of the quay crane trolley is the input parameter, and the moving distance of the quay crane trolley is calculated and generated according to the quay crane operation sequence and the bay number; T3: The time for the quay crane to raise its boom, the formula is: Among them, the single lifting and lowering time is the input parameter, and the number of times the quay crane raises the boom is calculated based on the ship structure rudder, chimney, main mast position data, as well as the quay crane operation sequence and bay number; T4: The time to lock the cage, which is assigned according to the actual situation of the ship's operation; T5: Container quay crane basic operation time; T5-1: Construct a time calculation model for basic operation of container quay cranes. The steps are as follows: T5-1-1: Data collection and preprocessing; Collect data: collect historical operation data containing all fields from the database and operation record system, including the quay crane operation type set Q, operation target set D, operation box attribute set A, operation area set L, operation bay attribute set B, container layer number tier, container stack number stack, higher layer number trans and operation mode O; Quay crane feature coding: feature coding is performed on each field of the data. The value corresponding to the quay crane operation type set Q of a certain task data is , the feature code is expressed in the numerical form of [1, 0, 0, 0, 0]; the corresponding value is , the feature code is expressed as a numerical form of [0, 1, 0, 0, 0]; Constructing a training set for quay cranes: For each piece of collected historical data, i.e., container tasks and actual operation time of quay cranes, we encode the features of the quay cranes and record the actual time of the quay cranes operating the container tasks. Each record will be used as a sample in the training set. T5-1-2: Build and train the model; Basic operation time of quay crane for container It is related to the container quay crane operation type set Q, operation target set D, operation box attribute set A, operation area set L, operation bay attribute set B, container layer number tier, container stack number stack, higher layer number trans and operation mode O, and is calculated. The formula is as follows: Where f represents the sum of the additional time of Q, D, A, L, B, tier, stack, trans, and O. Based on formula (1-4), the quay crane training set is used to train and obtain the results when Q, D, A, L, B, tier, stack, trans, and O take different values. According to the corresponding relationship, according to the specific values ​​of each Q, D, A, L, B, tier, stack, trans, and O corresponding to the input container task, and then according to the additional time corresponding to each value, all the additional times are accumulated to obtain ; In summary, the actuarial model formula for the basic operation time of container quay crane is as follows: in, Related to the size of the ship, the length of the ship is in the range of [0-250] meters. =0, in the interval [250-300], =2, in the interval [300-350], =3; It is related to the type of quay crane. For ordinary quay crane, = 0, for remote controlled quay crane, = 2.

[0016] Define Y as the set of field bridge operation types, { , , , , , , , },in, Indicates that the inner collection card is installed. Indicates unloading the internal card. It means the box is turned over. Indicates cross-bay transfer box, Indicates the installation of external card. Indicates unloading of external container card. It means unmanned container truck. Indicates unloading of unmanned container trucks; defines other parameters of the yard bridge, including: trans is the higher the number of floors, 3 floors and below are regarded as 0, 4 floors are 4, 5 floors are 5, and so on; It is the additional time of the container of the operating unit when the port collection period belongs to the h time period; is the additional time of the operating unit container when the yard operation equipment type is x; Ω is the set of containers to be operated; H is the set of port collection time periods; X is the set of yard operation equipment types; T' is the total yard operation time, unit: seconds; is the basic operation time of the yard for container i, unit: seconds; It is the moving time of the yard crane trolley, in seconds; tier is the layer number where the container is located, and stack is the stack number where the container is located.

[0017] The crane operation time includes: M1: The time for the crane to move, the formula is: Among them, the yard equipment shell changing moving speed and the average transfer time of the yard equipment are input parameters, and the yard equipment shell changing moving distance and the number of transfers of the yard equipment are calculated and generated according to the operation sequence of the yard equipment and the shell position number; M2: Container yard bridge foundation operation time; M2-1: Construct a time calculation model for basic operation of container yard bridge. The steps are as follows: M2-1-1: Data collection and preprocessing; Collect data: collect historical operation data containing all fields from the database and operation record system, including the yard crane operation type set Y, the operation target set D, the operation box attribute set A, the layer number tier where the container is located, the stack number stack where the container is located, the higher the number of layers trans, and the operation mode O; Bridge feature coding: feature coding is performed on each field of the data. The bridge operation type set Y of a task data has a corresponding value , the feature code is expressed in the numerical form of [1, 0, 0, 0, 0, 0, 0], and the corresponding value is ,The feature code is expressed in the numerical form of [0, 1, 0, 0, 0, 0, 0]; Constructing a training set for a crane: For each piece of collected historical data, i.e., container task and actual crane operation time, perform crane feature encoding and record the actual time of the crane operation for the container task. Each record will be used as a sample in the training set. M2-1-2: Build and train the model; Basic operation time of container i in the yard It is related to the container yard crane operation type set Y, operation target set D, operation box attribute set A, container layer number tier, container stack number stack, higher layer number trans and operation mode O, and is calculated. The formula is as follows: Where f represents the sum of the additional time of Y, D, A, tier, stack, trans, and O. Based on formula (1-7), the field bridge training set is used for training, and finally the results are obtained when Y, D, A, tier, stack, trans, and O take different values. According to the corresponding relationship between the input container task and the specific value of each Y, D, A, tier, stack, trans, and O, and then according to the additional time corresponding to each value, all the additional time is accumulated to obtain ; In summary, the actuarial model formula for the basic operation time of container yard bridge is as follows: in, Related to the port collection time, which is in the range of [0700-1400], =2, in the interval [1400-1800], =3, in the range [1800-2400], =5, in the interval [2400-0700], =0; It is related to the type of yard operation equipment, such as electric yard bridge, oil yard bridge, electric empty container stacker and oil empty container stacker. =0, automated rail crane, =3, reach stacker, =1.

[0018] According to formula (1-5), when the ship type is j and the usage type is When the quay crane is operating, the operating efficiency of the quay crane based on the operation actuarial calculation is: in, is the container volume of the quay crane operation. According to formula (1-8), when the port collection time period is h and the usage type is When the field crane is operated, the field crane operation efficiency based on operation actuarial calculation is: in, is the number of containers operated by the terminal crane, and the final operating efficiency of the container terminal is E=min{E_Q, E_C}.

[0019] The corresponding relationship between Q, D, A, L, B, tier, stack, trans, O and additional time is: for 10 seconds, for 10 seconds, for 10 seconds, 15 seconds, 30 seconds; is 8 seconds, for 10 seconds, for 10 seconds, is 12 seconds, 12 seconds; for 10 seconds, 15 seconds, 15 seconds, is 28 seconds, 28 seconds, 28 seconds, is 28 seconds, for 30 seconds, for 30 seconds, is 32 seconds, is 32 seconds, 35 seconds; for 20 seconds, for 30 seconds, 40 seconds; for 20 seconds, for 40 seconds, 40 seconds; for 10 seconds, 15 seconds, is 8 seconds, is 5400 seconds, The additional time for stack is 0 for the stack closest to the shore, and 1 second is added for each additional stack; the additional time for tier is 0 for the highest layer, and 3 seconds is added for each layer reduced; the additional time for trans is 0 for layers within 3, and 3 seconds is added for each layer added.

[0020] The corresponding relationship between Y, D, A, tier, stack, trans, O and additional time is: is 134 seconds, is 120 seconds, 90 seconds, is 180 seconds, 150 seconds, is 180 seconds, 135 seconds, 135 seconds; is 8 seconds, is 0 seconds, for 10 seconds, is 12 seconds, 12 seconds; for 10 seconds, for 10 seconds, for 10 seconds, for 30 seconds, for 30 seconds, for 30 seconds, for 30 seconds, for 30 seconds, for 30 seconds, for 30 seconds, for 30 seconds, 30 seconds; for 10 seconds, is 900 seconds, is 480 seconds, is 0 seconds, The additional time for stack is 0 for the stack closest to the lane, and 1 second for each additional stack; the additional time for tier is 0 for the highest layer, and 2 seconds for each layer reduced; the additional time for trans is 0 for layers within 3, and 2 seconds for each additional layer.

[0021] The above shows and describes the basic principles and main features of the present invention and the advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The above embodiments and descriptions are only for explaining the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, which shall fall within the scope of the present invention to be protected. The scope of protection of the present invention shall be defined by the attached claims and their equivalents.

Claims

1. A method for optimizing container terminal resources based on an operation actuarial model, characterized in that: include: S1: Constructing actuarial model of operation; S1-1: Construct the quay crane parameter set; Define Q as the set of quay crane operation types, define D as the set of operation targets, define A as the set of operation box attributes, define L as the set of operation areas, define B as the set of operation bay attributes, define O as the operation mode, and define other parameters of the quay crane; S1-2: Construct an actuarial model for quay crane operation time; The operation time of the quay crane is composed of the time for moving the hatch cover, the time for moving the quay crane trolley, the time for raising and lowering the boom, the time for locking the cage, and the basic operation time of the container quay crane. S1-3: Construct field bridge parameter set; Define Y as the field crane operation type set, define D as the operation target set, define A as the operation box attribute set, and define O as the operation mode, where the definition contents of D operation target set, A operation box attribute set, and O operation mode are the same as those in step S1-1, and define other parameters of the field crane; S1-4: Construct actuarial model of yard bridge operation time; The yard crane operation time consists of the yard crane trolley movement time and the container yard crane basic operation time; S2: Constructing a model for evaluating operational efficiency; The operating efficiency of a container terminal is related to the operating efficiency of quay cranes and yard cranes, including: Quay crane operation efficiency = total operation time of quay crane / number of quay crane operation containers; Field crane operation efficiency = total field crane operation time / number of field crane operation boxes; According to the total operation time of the quay crane calculated by the operation, when the ship type is j and the usage type is When the quay crane is operating, where n=1, 2, 3, 4, 5, the quay crane operation efficiency based on operation actuarial calculation is E_Q; According to the total operation time of the yard crane calculated by the operation, when the port collection time period is h and the usage type is When the field crane is operated, where n=1, 2, 3, 4, 5, 6, 7, 8, the field crane operation efficiency based on operation actuarial calculation is E_C; The final operating efficiency of the container terminal is E=min{E_Q, E_C}.

2. The method for optimizing container terminal resources based on the operation actuarial model according to claim 1 is characterized in that: Define Q as the set of quay crane operation types, { , , , , },in, Indicates loading operation port tug, Indicates the unloading operation port tug, It means that the ship is directly overturned. Indicates direct loading operation and external drag. Indicates direct-take operation outbound drag; define D as the set of operation targets, { , , , , },in, Indicates a single lift of a 20-foot container. Indicates 20-foot container double lift, Indicates a single lift of a 40-foot container. Indicates a single lift of a 45-foot container. represents a single lift of a 53-foot container; define A as the attribute set of the operation box, { , , , , , , , , , , , },in, Indicates an empty box. Indicates a heavy box, Represents a refrigerator. Indicates super high box, Indicates extra wide box, Indicates extra long box. Indicates extra-high and extra-wide boxes. Indicates a flatbed container. Indicates frame box, Indicates a tank container with a bottom beam. Indicates a tank container without a bottom beam. represents a dangerous goods box; define L as the set of operating areas, { , , } ,in, On the deck, Indicates the normal cabin. Indicates the cabin without slideway; define B as the set of operation bay attributes, { , , },in, Indicates the normal position, Indicates the adjacent bay positions of the boom. represents the adjacent bays of the rudder tower; O is defined as the operation mode, { , , , , } ,in, Indicates direct lifting. Indicates wire hoisting. Indicates super high hanger hoisting, Indicates sea crane hoisting. Indicates bare piece lifting; defines other parameters of the quay crane, including: trans is the higher the number of floors, 3 floors and below are regarded as 0, 4 floors are 4, 5 floors are 5, and so on; tier is the floor number where the container is located; stack is the stack number where the container is located; is the additional time for operating a unit container when the ship type is j; is the additional time for operating a unit container when the quay crane type is k; Ω is the set of containers to be operated; J is the set of ship types; K is the set of quay crane types; T is the total operation time, unit: second; is the basic operation time of the quay crane for container i, unit: seconds; is the hatch cover movement time, unit: second; is the moving time of the quay crane trolley, unit: second; The time it takes for the quay crane to raise its boom, in seconds; The time to lock the cage, unit: second; The operation time of the quay crane includes: T1: Hatch cover movement time, the formula is: Among them, the single operation time is the input parameter, and the number of hatch cover opening and closing is calculated according to the operation sequence of the quay crane; T2: The time for the gantry crane to move. The formula is: Among them, the moving speed of the quay crane trolley is the input parameter, and the moving distance of the quay crane trolley is calculated and generated according to the quay crane operation sequence and the bay number; T3: The time for the quay crane to raise its boom, the formula is: Among them, the single lifting and lowering time is the input parameter, and the number of times the quay crane raises the boom is calculated based on the ship structure rudder, chimney, main mast position data, as well as the quay crane operation sequence and bay number; T4: The time to lock the cage, which is assigned according to the actual situation of the ship's operation; T5: Container quay crane basic operation time; T5-1: Construct a time calculation model for basic operation of container quay cranes. The steps are as follows: T5-1-1: Data collection and preprocessing; Collect data: collect historical operation data containing all fields from the database and operation record system, including the quay crane operation type set Q, operation target set D, operation box attribute set A, operation area set L, operation bay attribute set B, container layer number tier, container stack number stack, higher layer number trans and operation mode O; Quay crane feature coding: feature coding is performed on each field of the data. The value corresponding to the quay crane operation type set Q of a certain task data is , the feature code is expressed in the numerical form of [1, 0, 0, 0, 0]; the corresponding value is , the feature code is expressed in the numerical form of [0, 1, 0, 0, 0]; Constructing a training set for quay cranes: For each piece of collected historical data, i.e., container tasks and actual operation time of quay cranes, we encode the features of the quay cranes and record the actual time of the quay cranes operating the container tasks. Each record will be used as a sample in the training set. T5-1-2: Build and train the model; Basic operation time of quay crane for container It is related to the container quay crane operation type set Q, operation target set D, operation box attribute set A, operation area set L, operation bay attribute set B, container layer number tier, container stack number stack, higher layer number trans and operation mode O, and is calculated. The formula is as follows: Where f represents the sum of the additional time of Q, D, A, L, B, tier, stack, trans, and O. Based on formula (1-4), the quay crane training set is used to train and obtain the results when Q, D, A, L, B, tier, stack, trans, and O take different values. In summary, the actuarial model formula for the basic operation time of container quay cranes is as follows: in, Related to the size of the ship, the length of the ship is in the range of [0-250] meters. =0, in the interval [250-300], =2, in the interval [300-350], =3; It is related to the type of quay crane. For ordinary quay crane, = 0, for remote controlled quay crane, = 2; Define Y as the set of field bridge operation types, { , , , , , , , },in, Indicates that the inner collection card is installed. Indicates unloading the internal card. It means the box is turned over. Indicates cross-bay transfer box, Indicates the installation of external card. Indicates unloading of external container card. It means unmanned container truck. Indicates unloading of unmanned container trucks; defines other parameters of the yard bridge, including: trans is the higher the number of floors, 3 floors and below are regarded as 0, 4 floors are 4, 5 floors are 5, and so on; It is the additional time of the container of the operating unit when the port collection period belongs to the h time period; is the additional time of the operating unit container when the yard operation equipment type is x; Ω is the set of containers to be operated; H is the set of port collection time periods; X is the set of yard operation equipment types; T' is the total yard operation time, unit: seconds; is the basic operation time of the yard for container i, unit: seconds; is the moving time of the yard crane trolley, in seconds; tier is the layer number where the container is located, and stack is the stack number where the container is located; The crane operation time includes: M1: The time for the crane to move, the formula is: Among them, the yard equipment shell changing moving speed and the average transfer time of the yard equipment are input parameters, and the yard equipment shell changing moving distance and the number of transfers of the yard equipment are calculated and generated according to the operation sequence of the yard equipment and the shell position number; M2: Container yard bridge foundation operation time; M2-1: Construct a time calculation model for basic operation of container yard bridge. The steps are as follows: M2-1-1: Data collection and preprocessing; Collect data: collect historical operation data containing all fields from the database and operation record system, including the yard crane operation type set Y, the operation target set D, the operation box attribute set A, the layer number tier where the container is located, the stack number stack where the container is located, the higher the number of layers trans, and the operation mode O; Bridge feature coding: feature coding is performed on each field of the data. The bridge operation type set Y of a task data has a corresponding value , the feature code is expressed in the numerical form of [1, 0, 0, 0, 0, 0, 0], and the corresponding value is ,The feature code is expressed in the numerical form of [0, 1, 0, 0, 0, 0, 0]; Constructing a training set for a crane: For each piece of collected historical data, i.e., container task and actual crane operation time, perform crane feature encoding and record the actual time of the crane operation for the container task. Each record will be used as a sample in the training set. M2-1-2: Build and train the model; Basic operation time of container i in the yard It is related to the container yard crane operation type set Y, operation target set D, operation box attribute set A, container layer number tier, container stack number stack, higher layer number trans and operation mode O, and is calculated. The formula is as follows: Where f represents the sum of the additional time of Y, D, A, tier, stack, trans, and O. Based on formula (1-7), the field bridge training set is used for training, and finally the results are obtained when Y, D, A, tier, stack, trans, and O take different values. In summary, the actuarial model formula for the basic operation time of container yard bridge is as follows: in, Related to the port collection time, which is in the range of [0700-1400]. =2, in the interval [1400-1800], =3, in the range [1800-2400], =5, in the interval [2400-0700], =0; It is related to the type of yard operation equipment, such as electric yard bridge, oil yard bridge, electric empty container stacker and oil empty container stacker. =0, automated rail crane, =3, reach stacker, =1; According to formula (1-5), when the ship type is j and the usage type is When the quay crane is operating, the operating efficiency of the quay crane based on the operation calculation is: in, is the container volume of the quay crane operation. According to formula (1-8), when the port collection time period is h and the usage type is When the field crane is operated, the field crane operation efficiency based on operation actuarial calculation is: in, is the number of containers operated by the terminal crane, and the final operating efficiency of the container terminal is E=min{E_Q, E_C}.

3. The method for optimizing container terminal resources based on the operation actuarial model according to claim 2 is characterized in that: The corresponding relationship between Q, D, A, L, B, tier, stack, trans, O and additional time is: for 10 seconds, for 10 seconds, for 10 seconds, 15 seconds, 30 seconds; is 8 seconds, for 10 seconds, for 10 seconds, is 12 seconds, 12 seconds; for 10 seconds, 15 seconds, 15 seconds, 28 seconds, is 28 seconds, is 28 seconds, is 28 seconds, for 30 seconds, for 30 seconds, is 32 seconds, is 32 seconds, 35 seconds; for 20 seconds, for 30 seconds, 40 seconds; for 20 seconds, for 40 seconds, 40 seconds; for 10 seconds, 15 seconds, is 8 seconds, is 5400 seconds, The additional time for stack is 0 for the stack closest to the shore, and 1 second is added for each additional stack; the additional time for tier is 0 for the highest layer, and 3 seconds is added for each layer reduced; the additional time for trans is 0 for layers within 3, and 3 seconds is added for each layer added.

4. The method for optimizing container terminal resources based on the operation actuarial model according to claim 2 is characterized in that: The corresponding relationship between Y, D, A, tier, stack, trans, O and additional time is: is 134 seconds, is 120 seconds, 90 seconds, is 180 seconds, 150 seconds, is 180 seconds, 135 seconds, 135 seconds; is 8 seconds, is 0 seconds, for 10 seconds, is 12 seconds, 12 seconds; for 10 seconds, for 10 seconds, for 10 seconds, for 30 seconds, for 30 seconds, for 30 seconds, for 30 seconds, for 30 seconds, for 30 seconds, for 30 seconds, for 30 seconds, 30 seconds; for 10 seconds, is 900 seconds, is 480 seconds, is 0 seconds, The additional time for stack is 0 for the stack closest to the lane, and 1 second for each additional stack; the additional time for tier is 0 for the highest layer, and 2 seconds for each layer reduced; the additional time for trans is 0 for layers within 3, and 2 seconds for each additional layer.

Citation Information

Patent Citations

  • Container terminal physical distribution emulation optimizing system

    CN101458788A

  • Whole-yard automatic combined scheduling method of container harbor

    CN105913208A

  • Wharf shore bridge and field bridge collaborative optimization scheduling method

    CN109784547A

  • Method for improving ship loading and unloading operation efficiency based on core operation line

    CN113689076A

  • Intelligent yard control decision-making problem model for container terminal yard and application of intelligent yard control decision-making problem model

    CN117787828A

Cited By

  • Intelligent transition scheduling method for container yard crane

    CN121303996A