Intelligent dispatching plan dynamic optimization system and method

Abstract

The invention discloses an intelligent dispatching plan dynamic optimization system and method, and the system comprises a first module which is used for obtaining a plurality of preset dispatching plans of a current month, and the preset dispatching plans comprise executed dispatching plans and unexecuted dispatching plans; the second module is used for calculating an evaluation value difference value of the dispatching evaluation indexes of the executed dispatching plan; the third module is used for generating a first optimization strategy according to the evaluation value difference value of the executed dispatching plan, the ton coal lag minimization principle and the remaining time; the fourth module is used for adjusting the unexecuted dispatching plan according to the first optimization strategy, generating a dispatching evaluation value and correcting the first optimization strategy to obtain a second optimization strategy; and the fifth module is used for performing simulation adjustment and allocation simulation on the unexecuted allocation plans according to each second optimization strategy, and screening out an optimal optimization strategy according to a simulation allocation evaluation value, so as to improve the completion degree of the allocation plans, the tonnage coal lag period, the allocation efficiency and the like to the greatest extent.

Description

Technical Field

[0001] The present application relates to the technical field of fuel transportation planning, and in particular to a system and method for dynamic optimization of intelligent transportation planning. Background Art

[0002] Fuel transportation is a key link in maintaining the normal operation of thermal power plants. A reasonable fuel transportation plan plays a vital role in the safe production and economic operation of power plants. The monthly transportation plan is formulated based on human experience, and it is impossible to effectively adjust the unexecuted transportation plan based on the executed transportation plan, which leads to high demurrage costs per ton of coal and reduced overall transportation efficiency. Summary of the invention

[0003] In order to solve the above technical problems, the present application provides a system and method for dynamic optimization of intelligent transportation plan.

[0004] In some embodiments of the present application, a smart transportation plan dynamic optimization system is provided, including: The first module is used to obtain multiple preset transportation plans for the current month, wherein the preset transportation plans include executed transportation plans and unexecuted transportation plans; The second module is used to determine the standard evaluation value of the transportation evaluation index of each preset transportation plan based on the transportation demand of the current month, and calculate the evaluation value difference of the transportation evaluation index of each executed transportation plan; The third module is used to generate a first optimization strategy for the unexecuted transportation plan based on the difference in evaluation values ​​of multiple executed transportation plans, the principle of minimizing coal demurrage per ton, and the remaining time of the current month; The fourth module is used to adjust the unexecuted transportation plan according to the first optimization strategy, generate a transportation evaluation value according to the adjusted actual transportation result, and modify the first optimization strategy according to the transportation evaluation value to obtain multiple second optimization strategies; The fifth module is used to simulate and adjust the unexecuted transportation plan according to each second optimization strategy and perform transportation simulation to obtain multiple simulation transportation evaluation values, and select the optimal optimization strategy according to the simulation transportation evaluation values.

[0005] In some embodiments of the present application, the second module further includes: Establish multiple transportation evaluation indicators according to the transportation capacity demand of the current month, wherein the transportation evaluation indicators include a ton of coal demurrage indicator and other preset evaluation indicators; Determine the transportation evaluation index based on the coal demurrage index and other preset evaluation indexes; The transportation evaluation index is: ; Where D is the transportation evaluation index, s1 is the initial weight of the ton of coal demurrage index, yv is the weight coefficient of the vth other preset evaluation index, hv is the vth other preset evaluation index parameter, Y is the fixed threshold, and c is the ton of coal demurrage index parameter; Based on the correlation degree between the transportation data involved in each preset transportation plan and the transportation evaluation index, characteristic transportation data of each preset transportation plan is obtained; According to the transportation capacity demand of the current month and the number of preset transportation plans, the standard evaluation value of the transportation evaluation index of each preset transportation plan and the standard data range of the characteristic transportation data of each preset transportation plan are set.

[0006] In some embodiments of the present application, calculating the evaluation value difference of each transportation evaluation index of the executed transportation plan includes: Obtain the actual characteristic transportation data of each executed transportation plan; Calculate the actual characteristic transportation data difference value based on the actual characteristic transportation data and the standard data interval of the corresponding characteristic transportation data, and generate the actual evaluation value of the transportation evaluation index corresponding to the executed transportation plan based on multiple actual characteristic transportation data difference values; The actual evaluation value is subtracted from the standard evaluation value corresponding to the executed transportation plan to obtain the evaluation value difference of the transportation evaluation index of the executed transportation plan.

[0007] In some embodiments of the present application, generating a first optimization strategy for an unexecuted transportation plan includes: Constructing a corresponding transportation plan reference library according to the transportation capacity demand of the current month and the transportation static factors involved in the preset transportation plan, wherein the transportation plan reference library includes a first transportation plan library and a second transportation plan library; Generate a comprehensive evaluation value of multiple executed transportation plans according to the evaluation value difference of the transportation evaluation index of multiple executed transportation plans and the weight coefficient corresponding to the executed transportation plans, and generate a comprehensive evaluation value difference of the unexecuted transportation plan according to the standard comprehensive evaluation value of the preset transportation plan and the comprehensive evaluation values ​​of the multiple executed transportation plans; If the comprehensive evaluation value is less than the preset evaluation value threshold, optimizing the unexecuted transportation plan according to the first transportation plan library, wherein the first transportation plan library includes a plurality of preset comprehensive evaluation value differences, and each preset comprehensive evaluation value difference is associated with a specific first preset transportation plan group; The comprehensive evaluation value difference is compared with the preset comprehensive evaluation value difference, and the first preset transportation plan group corresponding to the preset comprehensive evaluation value difference greater than the comprehensive evaluation value difference is screened out according to the comparison result, and the time feasibility of the screened multiple first preset transportation plan groups is judged based on the remaining time of the current month, and the first preset transportation plan group that cannot complete all the first preset transportation plans in the remaining time is eliminated; Based on the principle of minimizing the coal ton demurrage, the remaining first preset transportation plan groups are analyzed to obtain the comprehensive coal ton demurrage in the remaining first preset transportation plan groups, and based on the first preset transportation plan group with the smallest comprehensive coal ton demurrage, a first optimization strategy for the unexecuted transportation plan is generated; If the comprehensive evaluation value is greater than the preset evaluation value threshold, the unexecuted transportation plan is optimized according to the second transportation plan library, wherein the second transportation plan library includes a plurality of preset differences for each characteristic transportation data, and each preset difference for each characteristic transportation data is associated with a specific second preset transportation plan; Generate a comprehensive data difference of each characteristic transportation data according to the actual characteristic transportation data differences of multiple executed transportation plans, perform similarity analysis on the comprehensive data difference of each characteristic transportation data and the preset difference of the corresponding characteristic transportation data, and set the second preset transportation plan corresponding to the preset difference with the maximum similarity as the preferred transportation plan for the corresponding characteristic transportation data; Based on the remaining time of the current month and the weight coefficient of the characteristic transportation data, a comprehensive analysis is performed on the preferred transportation plans of the plurality of characteristic transportation data to obtain a plurality of second preset transportation plan groups; Based on the principle of minimizing the demurrage per ton of coal, the second preset transportation plan group is analyzed to obtain the comprehensive demurrage per ton of coal in the second preset transportation plan group. Based on the second preset transportation plan group with the smallest comprehensive demurrage per ton of coal, the first optimization strategy for the unexecuted transportation plan is generated.

[0008] In some embodiments of the present application, generating a transportation evaluation value according to the adjusted actual transportation result includes: The unexecuted transportation plan is adjusted according to the first optimization strategy, and the single-day standard transportation characteristics of the adjusted unexecuted transportation plan at the corresponding transportation planning time are set, wherein the single-day standard transportation characteristics include the standard sub-interval of the daily characteristic transportation data, the standard transportation completion amount, and the standard transportation efficiency; Perform transportation according to the adjusted unexecuted transportation plan, and obtain the actual transportation result of the first unexecuted transportation plan, wherein the actual transportation result includes the actual transportation characteristics of a single day during the actual transportation time, and the actual transportation characteristics of a single day include the actual sub-interval of the characteristic transportation data of each day, the actual transportation completion amount, and the actual transportation efficiency; According to the actual sub-interval of the daily characteristic transportation data and the corresponding standard sub-interval, the actual transportation completion volume and the standard transportation completion volume, the actual transportation efficiency and the standard transportation efficiency, the actual sub-interval difference of the daily characteristic transportation data, the actual transportation completion volume difference and the actual transportation efficiency difference are obtained respectively; Generate the corresponding single-day evaluation value based on the actual sub-interval difference, actual transportation completion difference and actual transportation efficiency difference of the daily characteristic transportation data; Generate compensation coefficients based on the change trends and change rates of multiple daily evaluation values ​​of actual transportation time; The transportation evaluation value of the actual transportation time of the first transportation plan that has not been executed is generated according to the single-day evaluation value and the compensation coefficient.

[0009] In some embodiments of the present application, the first optimization strategy is modified according to the transportation evaluation value to obtain multiple second optimization strategies, including: Subtract the transportation evaluation value of the actual transportation time of the first transportation plan that has not been executed from the standard transportation evaluation value of the actual transportation time to obtain the transportation evaluation value difference; A plurality of preset transport evaluation value difference intervals with actual transport time are preset, and each preset transport evaluation value difference interval is mapped with a plurality of preset correction schemes; According to the preset transport evaluation value difference interval in which the transport evaluation value difference lies, a plurality of corresponding preset correction schemes are screened out, and a correction time span of each screened preset correction scheme is obtained; The corrected time span is compared with the remaining time after the actual transportation time of the first unexecuted transportation plan, and the first optimization strategy is corrected according to a preset correction scheme in which the corrected time span is smaller than the remaining time to obtain multiple second optimization strategies.

[0010] In some embodiments of the present application, according to each second optimization strategy, the unexecuted transportation plan is simulated and adjusted and transportation simulation is performed to obtain multiple simulation transportation evaluation values, including: For each second optimization strategy, a simulation adjustment is performed on the unexecuted transportation plan, and a transportation simulation is performed according to the unexecuted transportation plan after the simulation adjustment, so as to construct a simulation transportation model for each second optimization strategy; Acquire the single-day simulated transportation characteristics of the unexecuted transportation plan in the simulated transportation model of each second optimization strategy, wherein the single-day simulated transportation characteristics include the simulation sub-interval of the daily characteristic transportation data, the simulated transportation completion amount, and the simulated transportation efficiency; Comparing the multiple single-day simulated transportation characteristics with the corresponding single-day standard transportation characteristics, and determining the simulated transportation evaluation values ​​of the multiple unexecuted transportation plans corresponding to the second optimization strategy according to the comparison results; The calculation formula of the simulation dispatch evaluation value is: ; Among them, F is the simulation dispatch evaluation value, f0 is the simulation compensation coefficient, a1 is the first conversion coefficient, r1 is the first weight coefficient, For single day number, is the simulation sub-interval of the j-th characteristic dispatch data of the i-th day, The standard sub-interval of the j-th characteristic transportation data of the i-th day, a2 is the second conversion coefficient, r2 is the second weight coefficient, is the simulated transportation completion volume of the ith day, is the standard transportation completion quantity of the ith day, is the simulated transportation efficiency of the i-th day, is the standard transportation efficiency of the i-th day.

[0011] In some embodiments of the present application, the optimal optimization strategy is selected according to multiple simulation dispatch evaluation values, including: The plurality of simulation dispatching evaluation values ​​are sorted, and the second optimization strategy corresponding to the simulation dispatching evaluation value ranked first is set as the optimal optimization strategy.

[0012] In some embodiments of the present application, the fifth module further includes: Adjust the unexecuted transportation plan according to the optimal optimization strategy, obtain the actual single-day transportation results of the adjusted unexecuted transportation plan, compare the actual single-day transportation results with the simulated single-day transportation results during simulation, and generate the credibility of the optimal optimization strategy based on the comparison results; Pre-set credibility threshold; If the credibility is greater than the credibility threshold, the optimal optimization strategy will not be modified; If the credibility is less than the credibility threshold, the optimal optimization strategy is modified according to the comparison result.

[0013] In some embodiments of the present application, a method for dynamic optimization of intelligent transportation plan is also included: Acquire multiple preset transportation plans for the current month, wherein the preset transportation plans include executed transportation plans and unexecuted transportation plans; Determine the standard evaluation value of the transportation evaluation index of each preset transportation plan based on the transportation demand of the current month, and calculate the evaluation value difference of the transportation evaluation index of each executed transportation plan; Generate the first optimization strategy for the unexecuted transportation plan based on the difference in evaluation values ​​of multiple executed transportation plans, the principle of minimizing the coal demurrage per ton, and the remaining time of the current month; The unexecuted transportation plan is adjusted according to the first optimization strategy, a transportation evaluation value is generated according to the adjusted actual transportation result, and the first optimization strategy is modified according to the transportation evaluation value to obtain multiple second optimization strategies; According to each second optimization strategy, the unexecuted transportation plan is simulated and adjusted, and a transportation simulation is performed to obtain a plurality of simulation transportation evaluation values, and the optimal optimization strategy is screened out according to the simulation transportation evaluation values.

[0014] Compared with the prior art, the intelligent transportation plan dynamic optimization system and method of the embodiment of the present application have the following beneficial effects: The first optimization strategy for the unexecuted transportation plan is generated according to the difference in evaluation values ​​of the transportation evaluation indicators of the executed transportation plan, the remaining time of the current month and the principle of minimizing the demurrage per ton of coal. The adjusted unexecuted transportation plan is obtained according to the first optimization strategy and the transportation evaluation value is calculated. A plurality of second optimization strategies are generated according to the transportation evaluation value. The unexecuted transportation strategy after each second optimization strategy is simulated to obtain the simulated transportation evaluation value and determine the optimal optimization strategy, thereby realizing continuous correction or adjustment of the optimization strategy, and thereby maximizing the completion degree of the transportation plan, the demurrage per ton of coal and the transportation efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 It is a schematic diagram of a smart transportation plan dynamic optimization system in a preferred embodiment of the present application; Figure 2 It is a flow chart of a method for dynamic optimization of intelligent transportation plan in the preferred embodiment of the present application. DETAILED DESCRIPTION

[0016] The specific implementation methods of the present application are further described in detail below in conjunction with the accompanying drawings and examples. The following examples are used to illustrate the present application but are not intended to limit the scope of the present application.

[0017] In the description of the present application, it should be understood that the terms "center", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", etc., indicating orientations or positional relationships, are based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as a limitation on the present application.

[0018] The terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the features. In the description of this application, unless otherwise specified, "plurality" means two or more.

[0019] In the description of this application, it should be noted that, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in this application can be understood according to specific circumstances.

[0020] like Figure 1 As shown, a smart transportation plan dynamic optimization system according to a preferred embodiment of the present application includes: The first module is used to obtain multiple preset transportation plans for the current month, wherein the preset transportation plans include executed transportation plans and unexecuted transportation plans; The second module is used to determine the standard evaluation value of the transportation evaluation index of each preset transportation plan based on the transportation demand of the current month, and calculate the evaluation value difference of the transportation evaluation index of each executed transportation plan; The third module is used to generate a first optimization strategy for the unexecuted transportation plan based on the difference in evaluation values ​​of multiple executed transportation plans, the principle of minimizing coal demurrage per ton, and the remaining time of the current month; The fourth module is used to adjust the unexecuted transportation plan according to the first optimization strategy, generate a transportation evaluation value according to the adjusted actual transportation result, and modify the first optimization strategy according to the transportation evaluation value to obtain multiple second optimization strategies; The fifth module is used to simulate and adjust the unexecuted transportation plan according to each second optimization strategy and perform transportation simulation to obtain multiple simulation transportation evaluation values, and select the optimal optimization strategy according to the simulation transportation evaluation values.

[0021] In this embodiment, the preset transportation plan refers to the transportation plan that has been formulated for the current month, the executed transportation plan refers to the transportation plan that has been executed in the current month, and the unexecuted transportation plan refers to the transportation plan that has not been executed in the current month.

[0022] In some embodiments of the present application, the second module further includes: Establish multiple transportation evaluation indicators according to the transportation capacity demand of the current month, wherein the transportation evaluation indicators include a ton of coal demurrage indicator and other preset evaluation indicators; Determine the transportation evaluation index based on the coal demurrage index and other preset evaluation indexes; The transportation evaluation index is: ; Where D is the transportation evaluation index, s1 is the initial weight of the ton of coal demurrage index, yv is the weight coefficient of the vth other preset evaluation index, hv is the vth other preset evaluation index parameter, Y is the fixed threshold, and c is the ton of coal demurrage index parameter; Based on the correlation degree between the transportation data involved in each preset transportation plan and the transportation evaluation index, characteristic transportation data of each preset transportation plan is obtained; According to the transportation capacity demand of the current month and the number of preset transportation plans, the standard evaluation value of the transportation evaluation index of each preset transportation plan and the standard data range of the characteristic transportation data of each preset transportation plan are set.

[0023] In this embodiment, It is the correction of the weight of the coal demurrage indicator by the excess amount of the total impact of other preset indicators.

[0024] In this embodiment, a transportation evaluation index is generated based on the ton of coal demurrage index and other preset evaluation indexes and corresponding weight coefficients, and the preset transportation plan is comprehensively evaluated based on the transportation evaluation index to obtain the actual evaluation value of each preset transportation plan, thereby laying the foundation for the subsequent determination of the first optimization strategy for the transportation plan that has not been executed.

[0025] In some embodiments of the present application, calculating the evaluation value difference of each transportation evaluation index of the executed transportation plan includes: Obtain the actual characteristic transportation data of each executed transportation plan; Calculate the actual characteristic transportation data difference value based on the actual characteristic transportation data and the standard data interval of the corresponding characteristic transportation data, and generate the actual evaluation value of the transportation evaluation index corresponding to the executed transportation plan based on multiple actual characteristic transportation data difference values; The actual evaluation value is subtracted from the standard evaluation value corresponding to the executed transportation plan to obtain the evaluation value difference of the transportation evaluation index of the executed transportation plan.

[0026] In some embodiments of the present application, generating a first optimization strategy for an unexecuted transportation plan includes: Constructing a corresponding transportation plan reference library according to the transportation capacity demand of the current month and the transportation static factors involved in the preset transportation plan, wherein the transportation plan reference library includes a first transportation plan library and a second transportation plan library; Generate a comprehensive evaluation value of multiple executed transportation plans according to the evaluation value difference of the transportation evaluation index of multiple executed transportation plans and the weight coefficient corresponding to the executed transportation plans, and generate a comprehensive evaluation value difference of the unexecuted transportation plan according to the standard comprehensive evaluation value of the preset transportation plan and the comprehensive evaluation values ​​of the multiple executed transportation plans; If the comprehensive evaluation value is less than the preset evaluation value threshold, optimizing the unexecuted transportation plan according to the first transportation plan library, wherein the first transportation plan library includes a plurality of preset comprehensive evaluation value differences, and each preset comprehensive evaluation value difference is associated with a specific first preset transportation plan group; The comprehensive evaluation value difference is compared with the preset comprehensive evaluation value difference, and the first preset transportation plan group corresponding to the preset comprehensive evaluation value difference greater than the comprehensive evaluation value difference is screened out according to the comparison result, and the time feasibility of the screened multiple first preset transportation plan groups is judged based on the remaining time of the current month, and the first preset transportation plan group that cannot complete all the first preset transportation plans in the remaining time is eliminated; Based on the principle of minimizing the coal ton demurrage, the remaining first preset transportation plan groups are analyzed to obtain the comprehensive coal ton demurrage in the remaining first preset transportation plan groups, and based on the first preset transportation plan group with the smallest comprehensive coal ton demurrage, a first optimization strategy for the unexecuted transportation plan is generated; If the comprehensive evaluation value is greater than the preset evaluation value threshold, the unexecuted transportation plan is optimized according to the second transportation plan library, wherein the second transportation plan library includes a plurality of preset differences for each characteristic transportation data, and each preset difference for each characteristic transportation data is associated with a specific second preset transportation plan; Generate a comprehensive data difference of each characteristic transportation data according to the actual characteristic transportation data differences of multiple executed transportation plans, perform similarity analysis on the comprehensive data difference of each characteristic transportation data and the preset difference of the corresponding characteristic transportation data, and set the second preset transportation plan corresponding to the preset difference with the maximum similarity as the preferred transportation plan for the corresponding characteristic transportation data; Based on the remaining time of the current month and the weight coefficient of the characteristic transportation data, a comprehensive analysis is performed on the preferred transportation plans of the plurality of characteristic transportation data to obtain a plurality of second preset transportation plan groups; Based on the principle of minimizing the demurrage per ton of coal, the second preset transportation plan group is analyzed to obtain the comprehensive demurrage per ton of coal in the second preset transportation plan group. Based on the second preset transportation plan group with the smallest comprehensive demurrage per ton of coal, the first optimization strategy for the unexecuted transportation plan is generated.

[0027] In this embodiment, the static factors of transportation refer to the factors that cannot be changed in the transportation plan of the current month, including power plants, suppliers, etc. The transportation plan reference library selects historical transportation plans under the same transportation conditions according to the transportation capacity demand and the static factors of transportation. The first transportation plan library refers to the first preset transportation plan determined according to the difference between multiple preset comprehensive evaluation values, and the second transportation plan library refers to the second preset transportation plan determined according to the difference between multiple characteristic transportation data.

[0028] In this embodiment, the comprehensive evaluation value refers to the comprehensive evaluation of the transportation evaluation indicators of the executed transportation indicators, and the standard comprehensive evaluation value is obtained based on the standard evaluation value of each preset transportation indicator that meets the transportation evaluation indicator and the weight coefficient of the corresponding preset transportation indicator.

[0029] In this embodiment, the ton-of-coal demurrage refers to the extra time and cost incurred due to the failure of a ship or cargo to proceed as planned. The ton-of-coal demurrage minimization principle refers to minimizing the extra time and cost incurred. The comprehensive ton-of-coal demurrage refers to the sum of the extra time and cost incurred by multiple first preset transportation plans or second preset transportation plans in the first preset transportation plan group or the second preset transportation plan group.

[0030] In this embodiment, the first optimization strategy for the unexecuted transportation plan is determined based on the difference in evaluation values, the remaining time of the current month, and the principle of minimizing the demurrage per ton of coal, so that the unexecuted transportation plan is adjusted to save the extra time and cost caused by the failure of ships or cargoes to proceed as planned to the greatest extent.

[0031] In some embodiments of the present application, generating a transportation evaluation value according to the adjusted actual transportation result includes: The unexecuted transportation plan is adjusted according to the first optimization strategy, and the single-day standard transportation characteristics of the adjusted unexecuted transportation plan at the corresponding transportation planning time are set, wherein the single-day standard transportation characteristics include the standard sub-interval of the daily characteristic transportation data, the standard transportation completion amount, and the standard transportation efficiency; Perform transportation according to the adjusted unexecuted transportation plan, and obtain the actual transportation result of the first unexecuted transportation plan, wherein the actual transportation result includes the actual transportation characteristics of a single day during the actual transportation time, and the actual transportation characteristics of a single day include the actual sub-interval of the characteristic transportation data of each day, the actual transportation completion amount, and the actual transportation efficiency; According to the actual sub-interval of the daily characteristic transportation data and the corresponding standard sub-interval, the actual transportation completion volume and the standard transportation completion volume, the actual transportation efficiency and the standard transportation efficiency, the actual sub-interval difference of the daily characteristic transportation data, the actual transportation completion volume difference and the actual transportation efficiency difference are obtained respectively; Generate the corresponding single-day evaluation value based on the actual sub-interval difference, actual transportation completion difference and actual transportation efficiency difference of the daily characteristic transportation data; Generate compensation coefficients based on the change trends and change rates of multiple daily evaluation values ​​of actual transportation time; The transportation evaluation value of the actual transportation time of the first transportation plan that has not been executed is generated according to the single-day evaluation value and the compensation coefficient.

[0032] In some embodiments of the present application, the first optimization strategy is modified according to the transportation evaluation value to obtain multiple second optimization strategies, including: Subtract the transportation evaluation value of the actual transportation time of the first transportation plan that has not been executed from the standard transportation evaluation value of the actual transportation time to obtain the transportation evaluation value difference; A plurality of preset transport evaluation value difference intervals with actual transport time are preset, and each preset transport evaluation value difference interval is mapped with a plurality of preset correction schemes; According to the preset transport evaluation value difference interval in which the transport evaluation value difference lies, a plurality of corresponding preset correction schemes are screened out, and a correction time span of each screened preset correction scheme is obtained; The corrected time span is compared with the remaining time after the actual transportation time of the first unexecuted transportation plan, and the first optimization strategy is corrected according to a preset correction scheme in which the corrected time span is smaller than the remaining time to obtain multiple second optimization strategies.

[0033] In this embodiment, each preset transportation evaluation value difference interval mapping has preset correction schemes of different degrees, which are constructed based on the correction scheme of the historical transportation plan according to the actual transportation duration. The preset correction scheme refers to adjusting the corresponding data in the unexecuted transportation plan according to multiple correction time spans based on the actual sub-interval difference of each characteristic transportation data, the actual transportation completion volume difference and the actual transportation efficiency difference, so as to improve the transportation evaluation index, transportation completion volume and transportation efficiency.

[0034] In this embodiment, the correction time span refers to the interval between the correction time nodes in each preset correction plan. According to the correction time span, it is judged whether the correction of the entire preset correction plan can be completed within the remaining time after the actual transfer time of the first unexecuted transfer plan. If so, the unexecuted transfer plan after the first optimization strategy is corrected to obtain the second optimization strategy.

[0035] In some embodiments of the present application, according to each second optimization strategy, the unexecuted transportation plan is simulated and adjusted and transportation simulation is performed to obtain multiple simulation transportation evaluation values, including: For each second optimization strategy, a simulation adjustment is performed on the unexecuted transportation plan, and a transportation simulation is performed according to the unexecuted transportation plan after the simulation adjustment, so as to construct a simulation transportation model for each second optimization strategy; Acquire the single-day simulated transportation characteristics of the unexecuted transportation plan in the simulated transportation model of each second optimization strategy, wherein the single-day simulated transportation characteristics include the simulation sub-interval of the daily characteristic transportation data, the simulated transportation completion amount, and the simulated transportation efficiency; Comparing the multiple single-day simulated transportation characteristics with the corresponding single-day standard transportation characteristics, and determining the simulated transportation evaluation values ​​of the multiple unexecuted transportation plans corresponding to the second optimization strategy according to the comparison results; The calculation formula of the simulation dispatch evaluation value is: ; Among them, F is the simulation dispatch evaluation value, f0 is the simulation compensation coefficient, a1 is the first conversion coefficient, r1 is the first weight coefficient, For single day number, is the simulation sub-interval of the j-th characteristic dispatch data of the i-th day, The standard sub-interval of the j-th characteristic transportation data of the i-th day, a2 is the second conversion coefficient, r2 is the second weight coefficient, is the simulated transportation completion volume of the ith day, is the standard transportation completion quantity of the ith day, is the simulated transportation efficiency of the i-th day, is the standard transportation efficiency of the i-th day.

[0036] In this embodiment, the simulation compensation coefficient is set according to the change rate and change trend of the simulated transportation evaluation values ​​of multiple unexecuted transportation plans. The smaller the change rate and the upward trend, the larger the simulation compensation coefficient, and the value range of the simulation compensation coefficient is (0.65, 1).

[0037] In this embodiment, the first conversion coefficient, the second conversion coefficient and the third conversion coefficient respectively convert the sum of the simulation sub-interval differences of the characteristic transportation data, the sum of the simulation transportation completion volume differences and the sum of the simulation transportation efficiency differences into numerical values ​​in the same unit as the simulation transportation evaluation value, and the first weight coefficient, the second weight coefficient and the third weight coefficient respectively represent the importance of the sum of the simulation sub-interval differences of the characteristic transportation data, the sum of the simulation transportation completion volume differences and the sum of the simulation transportation efficiency differences for evaluating the simulation transportation evaluation value of the unexecuted transportation plan.

[0038] In this embodiment, by simulating the unexecuted transportation plans after multiple second optimization strategies, the simulated transportation evaluation values ​​after multiple second optimization strategies are obtained, and the corresponding optimal optimization strategies are obtained, so as to realize continuous correction or adjustment of the optimization strategies, thereby maximizing the completion degree of the transportation plan, the coal demurrage per ton, and the transportation efficiency.

[0039] In some embodiments of the present application, the optimal optimization strategy is selected according to the simulation dispatch evaluation value, including: The plurality of simulation dispatching evaluation values ​​are sorted, and the second optimization strategy corresponding to the simulation dispatching evaluation value ranked first is set as the optimal optimization strategy.

[0040] In some embodiments of the present application, the fifth module further includes: Adjust the unexecuted transportation plan according to the optimal optimization strategy, obtain the actual single-day transportation results of the adjusted unexecuted transportation plan, compare the actual single-day transportation results with the simulated single-day transportation results during simulation, and generate the credibility of the optimal optimization strategy based on the comparison results; Pre-set credibility threshold; If the credibility is greater than the credibility threshold, the optimal optimization strategy will not be modified; If the credibility is less than the credibility threshold, the optimal optimization strategy is modified according to the comparison result.

[0041] In some embodiments of the present application, Figure 2 As shown, it also includes a method for dynamic optimization of intelligent transportation plan: Step S201: obtaining multiple preset transportation plans for the current month, wherein the preset transportation plans include executed transportation plans and unexecuted transportation plans; Step S202: determining the standard evaluation value of the transportation evaluation index of each preset transportation plan based on the transportation demand of the current month, and calculating the evaluation value difference of the transportation evaluation index of each executed transportation plan; Step S203: generating a first optimization strategy for the unexecuted transportation plans according to the difference in evaluation values ​​of the multiple executed transportation plans, the principle of minimizing the coal demurrage per ton, and the remaining time of the current month; Step S204: adjusting the unexecuted transportation plan according to the first optimization strategy, generating a transportation evaluation value according to the adjusted actual transportation result, and revising the first optimization strategy according to the transportation evaluation value to obtain multiple second optimization strategies; Step S205: According to each second optimization strategy, simulation adjustment is performed on the unexecuted transportation plan and transportation simulation is performed to obtain multiple simulation transportation evaluation values, and the optimal optimization strategy is screened out according to the simulation transportation evaluation values.

[0042] The above is only a preferred implementation of the present application. It should be pointed out that for ordinary technicians in this technical field, several improvements and substitutions can be made without departing from the technical principles of the present application. These improvements and substitutions should also be regarded as the scope of protection of the present application.

Claims

1. An intelligent transportation plan dynamic optimization system, characterized in that: include: The first module is used to obtain multiple preset transportation plans for the current month, wherein the preset transportation plans include executed transportation plans and unexecuted transportation plans; The second module is used to determine the standard evaluation value of the transportation evaluation index of each preset transportation plan based on the transportation demand of the current month, and calculate the evaluation value difference of the transportation evaluation index of each executed transportation plan; The third module is used to generate a first optimization strategy for the unexecuted transportation plan based on the difference in evaluation values ​​of multiple executed transportation plans, the principle of minimizing coal demurrage per ton, and the remaining time of the current month; The fourth module is used to adjust the unexecuted transportation plan according to the first optimization strategy, generate a transportation evaluation value according to the adjusted actual transportation result, and modify the first optimization strategy according to the transportation evaluation value to obtain multiple second optimization strategies; The fifth module is used to simulate and adjust the unexecuted transportation plan according to each second optimization strategy and perform transportation simulation to obtain multiple simulation transportation evaluation values, and select the optimal optimization strategy according to the simulation transportation evaluation values.

2. The intelligent transportation plan dynamic optimization system according to claim 1, characterized in that: The second module also includes: Establish multiple transportation evaluation indicators according to the transportation capacity demand of the current month, wherein the transportation evaluation indicators include a ton of coal demurrage indicator and other preset evaluation indicators; Determine the transportation evaluation index based on the coal demurrage index and other preset evaluation indexes; The transportation evaluation index is: ； Where D is the transportation evaluation index, s1 is the initial weight of the ton of coal demurrage index, yv is the weight coefficient of the vth other preset evaluation index, hv is the vth other preset evaluation index parameter, Y is the fixed threshold, and c is the ton of coal demurrage index parameter; Based on the correlation degree between the transportation data involved in each preset transportation plan and the transportation evaluation index, characteristic transportation data of each preset transportation plan is obtained; According to the transportation capacity demand of the current month and the number of preset transportation plans, the standard evaluation value of the transportation evaluation index of each preset transportation plan and the standard data range of the characteristic transportation data of each preset transportation plan are set.

3. The intelligent transportation plan dynamic optimization system according to claim 2, characterized in that: Calculate the difference in evaluation values ​​of each transportation evaluation index of the executed transportation plan, including: Obtain the actual characteristic transportation data of each executed transportation plan; Calculate the actual characteristic transportation data difference value based on the actual characteristic transportation data and the standard data interval of the corresponding characteristic transportation data, and generate the actual evaluation value of the transportation evaluation index corresponding to the executed transportation plan based on multiple actual characteristic transportation data difference values; The actual evaluation value is subtracted from the standard evaluation value corresponding to the executed transportation plan to obtain the evaluation value difference of the transportation evaluation index of the executed transportation plan.

4. The intelligent transportation plan dynamic optimization system according to claim 3, characterized in that: Generate the first optimization strategy for the unexecuted transportation plan, including: Constructing a corresponding transportation plan reference library according to the transportation capacity demand of the current month and the transportation static factors involved in the preset transportation plan, wherein the transportation plan reference library includes a first transportation plan library and a second transportation plan library; Generate a comprehensive evaluation value of multiple executed transportation plans according to the evaluation value difference of the transportation evaluation index of multiple executed transportation plans and the weight coefficient corresponding to the executed transportation plans, and generate a comprehensive evaluation value difference of the unexecuted transportation plan according to the standard comprehensive evaluation value of the preset transportation plan and the comprehensive evaluation values ​​of the multiple executed transportation plans; If the comprehensive evaluation value is less than the preset evaluation value threshold, optimizing the unexecuted transportation plan according to the first transportation plan library, wherein the first transportation plan library includes a plurality of preset comprehensive evaluation value differences, and each preset comprehensive evaluation value difference is associated with a specific first preset transportation plan group; The comprehensive evaluation value difference is compared with the preset comprehensive evaluation value difference, and the first preset transportation plan group corresponding to the preset comprehensive evaluation value difference greater than the comprehensive evaluation value difference is screened out according to the comparison result, and the time feasibility of the screened multiple first preset transportation plan groups is judged based on the remaining time of the current month, and the first preset transportation plan group that cannot complete all the first preset transportation plans in the remaining time is eliminated; Based on the principle of minimizing the coal ton demurrage, the remaining first preset transportation plan groups are analyzed to obtain the comprehensive coal ton demurrage in the remaining first preset transportation plan groups, and based on the first preset transportation plan group with the smallest comprehensive coal ton demurrage, a first optimization strategy for the unexecuted transportation plan is generated; If the comprehensive evaluation value is greater than the preset evaluation value threshold, the unexecuted transportation plan is optimized according to the second transportation plan library, wherein the second transportation plan library includes a plurality of preset differences for each characteristic transportation data, and each preset difference for each characteristic transportation data is associated with a specific second preset transportation plan; Generate a comprehensive data difference of each characteristic transportation data according to the actual characteristic transportation data differences of multiple executed transportation plans, perform similarity analysis on the comprehensive data difference of each characteristic transportation data and the preset difference of the corresponding characteristic transportation data, and set the second preset transportation plan corresponding to the preset difference with the maximum similarity as the preferred transportation plan for the corresponding characteristic transportation data; Based on the remaining time of the current month and the weight coefficient of the characteristic transportation data, a comprehensive analysis is performed on the preferred transportation plans of the plurality of characteristic transportation data to obtain a plurality of second preset transportation plan groups; Based on the principle of minimizing the demurrage per ton of coal, the second preset transportation plan group is analyzed to obtain the comprehensive demurrage per ton of coal in the second preset transportation plan group. Based on the second preset transportation plan group with the smallest comprehensive demurrage per ton of coal, the first optimization strategy for the unexecuted transportation plan is generated.

5. The intelligent transportation plan dynamic optimization system according to claim 4, characterized in that: Generate a transportation evaluation value based on the adjusted actual transportation results, including: The unexecuted transportation plan is adjusted according to the first optimization strategy, and the single-day standard transportation characteristics of the adjusted unexecuted transportation plan at the corresponding transportation planning time are set, wherein the single-day standard transportation characteristics include the standard sub-interval of the daily characteristic transportation data, the standard transportation completion amount, and the standard transportation efficiency; Perform transportation according to the adjusted unexecuted transportation plan, and obtain the actual transportation result of the first unexecuted transportation plan, wherein the actual transportation result includes the actual transportation characteristics of a single day during the actual transportation time, and the actual transportation characteristics of a single day include the actual sub-interval of the characteristic transportation data of each day, the actual transportation completion amount, and the actual transportation efficiency; According to the actual sub-interval of the daily characteristic transportation data and the corresponding standard sub-interval, the actual transportation completion volume and the standard transportation completion volume, the actual transportation efficiency and the standard transportation efficiency, the actual sub-interval difference of the daily characteristic transportation data, the actual transportation completion volume difference and the actual transportation efficiency difference are obtained respectively; Generate the corresponding single-day evaluation value based on the actual sub-interval difference, actual transportation completion difference and actual transportation efficiency difference of the daily characteristic transportation data; Generate compensation coefficients based on the change trends and change rates of multiple daily evaluation values ​​of actual transportation time; The transportation evaluation value of the actual transportation time of the first transportation plan that has not been executed is generated according to the single-day evaluation value and the compensation coefficient.

6. The intelligent transportation plan dynamic optimization system according to claim 5, characterized in that: The first optimization strategy is modified according to the transportation evaluation value to obtain multiple second optimization strategies, including: Subtract the transportation evaluation value of the actual transportation time of the first transportation plan that has not been executed from the standard transportation evaluation value of the actual transportation time to obtain the transportation evaluation value difference; A plurality of preset transport evaluation value difference intervals with actual transport time are preset, and each preset transport evaluation value difference interval is mapped with a plurality of preset correction schemes; According to the preset transport evaluation value difference interval in which the transport evaluation value difference lies, a plurality of corresponding preset correction schemes are screened out, and a correction time span of each screened preset correction scheme is obtained; The corrected time span is compared with the remaining time after the actual transportation time of the first unexecuted transportation plan, and the first optimization strategy is corrected according to a preset correction scheme in which the corrected time span is smaller than the remaining time to obtain multiple second optimization strategies.

7. The intelligent transportation plan dynamic optimization system according to claim 6, characterized in that: According to each second optimization strategy, the unexecuted transportation plan is simulated and adjusted, and transportation simulation is performed to obtain multiple simulation transportation evaluation values, including: For each second optimization strategy, a simulation adjustment is performed on the unexecuted transportation plan, and a transportation simulation is performed according to the unexecuted transportation plan after the simulation adjustment, so as to construct a simulation transportation model for each second optimization strategy; Acquire the single-day simulated transportation characteristics of the unexecuted transportation plan in the simulated transportation model of each second optimization strategy, wherein the single-day simulated transportation characteristics include the simulation sub-interval of the daily characteristic transportation data, the simulated transportation completion amount, and the simulated transportation efficiency; Comparing the multiple single-day simulated transportation characteristics with the corresponding single-day standard transportation characteristics, and determining the simulated transportation evaluation values ​​of the multiple unexecuted transportation plans corresponding to the second optimization strategy according to the comparison results; The calculation formula of the simulation dispatch evaluation value is: ； Among them, F is the simulation dispatch evaluation value, f0 is the simulation compensation coefficient, a1 is the first conversion coefficient, r1 is the first weight coefficient, For single day number, is the simulation sub-interval of the j-th characteristic dispatch data of the i-th day, The standard sub-interval of the j-th characteristic transportation data of the i-th day, a2 is the second conversion coefficient, r2 is the second weight coefficient, is the simulated transportation completion volume of the ith day, is the standard transportation completion quantity of the i-th day, is the simulated transportation efficiency of the i-th day, is the standard transportation efficiency of the i-th day.

8. The intelligent transportation plan dynamic optimization system according to claim 7, characterized in that: The best optimization strategy is selected based on the simulation dispatch evaluation value, including: The plurality of simulation dispatching evaluation values ​​are sorted, and the second optimization strategy corresponding to the simulation dispatching evaluation value ranked first is set as the optimal optimization strategy.

9. The intelligent transportation plan dynamic optimization system according to claim 8, characterized in that: The fifth module also includes: Adjust the unexecuted transportation plan according to the optimal optimization strategy, obtain the actual single-day transportation results of the adjusted unexecuted transportation plan, compare the actual single-day transportation results with the simulated single-day transportation results during simulation, and generate the credibility of the optimal optimization strategy based on the comparison results; Pre-set credibility threshold; If the credibility is greater than the credibility threshold, the optimal optimization strategy will not be modified; If the credibility is less than the credibility threshold, the optimal optimization strategy is modified according to the comparison result.

10. A method for dynamic optimization of intelligent transportation plan, characterized in that: include: Acquire multiple preset transportation plans for the current month, wherein the preset transportation plans include executed transportation plans and unexecuted transportation plans; Determine the standard evaluation value of the transportation evaluation index of each preset transportation plan based on the transportation demand of the current month, and calculate the evaluation value difference of the transportation evaluation index of each executed transportation plan; Generate the first optimization strategy for the unexecuted transportation plan based on the difference in evaluation values ​​of multiple executed transportation plans, the principle of minimizing the coal demurrage per ton, and the remaining time of the current month; The unexecuted transportation plan is adjusted according to the first optimization strategy, a transportation evaluation value is generated according to the adjusted actual transportation result, and the first optimization strategy is modified according to the transportation evaluation value to obtain multiple second optimization strategies; According to each second optimization strategy, the unexecuted transportation plan is simulated and adjusted, and a transportation simulation is performed to obtain a plurality of simulation transportation evaluation values, and the optimal optimization strategy is screened out according to the simulation transportation evaluation values.

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