Aviation escalator passenger elevator vehicle scheduling method
By optimizing the charging order of passenger elevator vehicles in the airport based on flight arrival information and the remaining power of passenger elevator vehicles, the service interruption caused by the simultaneous charging of multiple passenger elevator vehicles is solved, and the continuity and efficiency of flight guarantee is achieved.
Patent Information
- Application Number
- CN202510186497.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-02-20
- Publication Date
- 2025-05-30
AI Technical Summary
In an airport environment, multiple passenger elevator vehicles need to be charged at the same time or charge time exceeds expectations, which may lead to delays in the connection links in flight guarantees and discontinuity of services.
By obtaining flight arrival information in the future time period, calculating the number of passenger elevator vehicles required in each time sub-zone, and sorting the current remaining power of the passenger elevator vehicle, selecting passenger elevator vehicles that can complete charging within the time period as candidate charging passenger elevator vehicle, so as to perform charging operations in the order of the remaining power from high to low.
This method can effectively prevent interruption of pick-up service, ensure that sufficient passenger elevator vehicles are put into use during peak flights, and improve the continuity and efficiency of flight guarantees.
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Figure CN120069447A_ABST
Abstract
Description
Technical Field
[0001] This application relates to the technical field of intelligent airports, and specifically relates to a dispatching method for escalator passenger boarding bridges for aviation use. Background Art
[0002] The dispatching of escalator passenger boarding bridges for aviation use mainly aims at the efficient dispatching of passenger boarding bridges in the airport environment. Through intelligent management and path planning, the usage efficiency of passenger boarding bridges is optimized to ensure that passengers' needs can be quickly responded to and met during the peak periods of flight arrivals and departures. However, with the development of new energy technologies, more and more passenger boarding bridges are powered by batteries. At this time, how to reasonably regulate the charging windows of multiple passenger boarding bridges to prevent the interruption of pick-up services due to insufficient power has become a problem. Due to the high usage frequency and uncertain working hours of airport passenger boarding bridges, if multiple passenger boarding bridges need to be charged simultaneously or the charging duration exceeds expectations, it may affect the number of other standby vehicles, resulting in delays and discontinuous services in the connection links during flight guarantee. Therefore, reasonable charging management and dispatching are particularly crucial. Summary of the Invention
[0003] In view of this, embodiments of the present disclosure provide a dispatching method for escalator passenger boarding bridges for aviation use, which at least partially solves the problems existing in the prior art.
[0004] A dispatching method for escalator passenger boarding bridges for aviation use in this application includes: Obtaining flight arrival information within a future time period T and calculating the number of passenger boarding bridges Ni required in each time sub-interval Ti according to the flight arrival time; Sorting the operation priorities of passenger boarding bridges according to the current remaining power Qi of each passenger boarding bridge, where the higher the current remaining power Qi, the higher the operation priority; Selecting, based on the current remaining power Qi, the passenger boarding bridges that can complete charging within the time period T as candidate charging passenger boarding bridges; and Performing charging operations on the candidate charging passenger boarding bridges in descending order of the current remaining power Qi.
[0005] In a specific embodiment, the time sub-interval Ti starts at the time when one flight arrives and ends at the time when another flight arrives.
[0006] In a specific embodiment, for passenger boarding bridges with a current remaining power Qi lower than a preset minimum power threshold Q_min, charging is preferentially arranged without being restricted by the priority.
[0007] In a specific embodiment, the step of performing charging operations on the candidate charging passenger boarding bridges in descending order of the current remaining power Qi further includes: Determine whether the current remaining power Qi of the candidate charging passenger elevator truck is higher than the preset charging priority threshold Q_high. If so, assign the first priority and perform the charging operation in the order of the current remaining power Qi from high to low; If the current remaining power Qi of the candidate charging passenger elevator truck is lower than Q_high, judge according to the interval Δi between its estimated charging completion time and the next operation time. If its estimated charging completion time is less than the interval Δi of the next operation time, assign the second priority and perform the charging operation in the order of the current remaining power Qi from high to low; Among them, the first priority is lower than the second priority.
[0008] In a specific embodiment, after the step of obtaining the flight arrival information within a future time period T and calculating the number of passenger elevator trucks Ni required for each time sub-interval Ti according to the flight arrival time, it further includes: At the start of each time sub-interval Ti, judge whether the estimated charging completion time Ei of each passenger elevator truck satisfies Ei ≤ Δi + Δt, where Δi is the duration of the time sub-interval Ti, and Δt is the buffer time for the passenger elevator truck to be put into use after charging is completed. If it is satisfied, include the passenger elevator truck in the candidate charging passenger elevator truck set; Calculate the charging priority Pi of each passenger elevator truck in the candidate charging passenger elevator truck set, Pi = (Ni / Qi)× Wi, where Wi is the weight coefficient of the passenger elevator truck; Sort the candidate charging passenger elevator trucks in descending order according to the charging priority Pi; Perform the charging operation on the passenger elevator trucks in the time sub-interval Ti according to the sorting to ensure that there are enough passenger elevator trucks put into use in the next time sub-interval Ti+1.
[0009] In a specific embodiment, the further includes: Judge the density Ci of flight arrivals in each time sub-interval Ti, Ci = Fi / Δi, where Δi is the duration of the time sub-interval Ti, and Fi is the number of arriving flights in the time sub-interval Ti; If Ci is greater than the preset density threshold C_threshold, adjust the charging operation of the passenger elevator trucks, and reduce the number of charging passenger elevator trucks Ni_charge in this time sub-interval according to the ratio C_threshold / Ci; Re-determine the candidate charging passenger elevator truck set according to the adjusted number of charging passenger elevator trucks Ni_charge and perform the charging operation in the order of the remaining power Qi from high to low.
[0010] In a specific embodiment, it further includes: Judge the density degree Ci of flight arrivals within each time sub - interval Ti, Ci = Fi / Δi, where Δi is the duration of the time sub - interval Ti, and Fi is the number of arriving flights within the time sub - interval Ti; If Ci is greater than the preset density threshold C_threshold, adjust the charging operation of the passenger boarding bridges. Reduce the number of charging passenger boarding bridges Ni_charge within this time sub - interval according to the ratio C_threshold / Ci, and reduce them in the order of the remaining battery level Qi from high to low; Re - determine the candidate charging passenger boarding bridge set according to the adjusted number of charging passenger boarding bridges Ni_charge, and perform the charging operation in the order of the remaining battery level Qi from low to high.
[0011] In a specific embodiment, the step of selecting the passenger boarding bridges that can be fully charged within the time period T based on the current remaining battery level Qi further includes: Calculate the time Ti_charge required for the passenger boarding bridge to be fully charged, Ti_charge = (Qmax - Qi) / P_charge, where Qmax is the battery level when the passenger boarding bridge is fully charged, and P_charge is the charging power; Judge whether Ti_charge is less than or equal to the remaining time T_remaining of the time period T. T_remaining is the duration from the start time of the passenger boarding bridge's charging to the end time of the time period T. If it is satisfied, select this passenger boarding bridge as a candidate charging passenger boarding bridge; Sort the candidate charging passenger boarding bridges in ascending order according to the charging completion time Ti_charge; Perform the charging operation on the candidate charging passenger boarding bridges according to the sorting.
[0012] The embodiment of the present disclosure provides an automatic escalator passenger boarding bridge scheduling method for aviation, including: obtaining flight arrival information within a future time period T and calculating the number of passenger boarding bridges Ni required for each time sub - interval Ti according to the flight arrival time; sorting the operation priorities of the passenger boarding bridges according to the current remaining battery level Q of each passenger boarding bridge, where the higher the current remaining battery level Q, the higher the operation priority; selecting the passenger boarding bridges that can be fully charged within the time period T based on the current remaining battery level Q as candidate charging passenger boarding bridges; and performing the charging operation on the candidate charging passenger boarding bridges in the order of the remaining battery level Q from high to low. Through the solution of the embodiment of the present disclosure, it is possible to solve how to regulate the charging windows of multiple passenger boarding bridges to prevent the interruption of the airport pick - up service. Description of the Drawings
[0013] In the accompanying drawings, unless otherwise specified, the same reference numerals throughout the several views denote the same or similar components or elements. These drawings are not necessarily drawn to scale. It should be understood that these drawings merely depict some embodiments disclosed in accordance with the present application and should not be regarded as limiting the scope of the present application.
[0014] Figure 1 is a flowchart of a scheduling method for an escalator passenger lift truck used in aviation; Figure 2 is a flowchart of a scheduling method for an escalator passenger lift truck used in aviation according to another embodiment of the present application; Figure 3 is a flowchart of a scheduling method for an escalator passenger lift truck used in aviation according to yet another embodiment of the present application; Figure 4 is a flowchart of selecting, based on the current remaining power Qi, the passenger lift trucks that can be fully charged within the time period T as candidate charging passenger lift trucks according to the present application. Detailed implementation manners
[0015] The embodiments of the present disclosure will be described in detail below with reference to the accompanying drawings.
[0016] The following specific examples illustrate the implementation manners of the present disclosure. Those skilled in the art can easily understand the other advantages and effects of the present disclosure from the content disclosed in this specification. Obviously, the described embodiments are only a part of the embodiments of the present disclosure, rather than all of them. The present disclosure can also be implemented or applied through other different specific implementation manners. Various details in this specification can also be modified or changed based on different viewpoints and applications without departing from the spirit of the present disclosure. It should be noted that, without conflict, the following embodiments and the features in the embodiments can be combined with each other. All other embodiments obtained by those of ordinary skill in the art based on the embodiments in the present disclosure without making creative efforts fall within the scope of protection of the present disclosure.
[0017] It should be noted that the following describes various aspects of embodiments within the scope of the appended claims. It should be apparent that the aspects described herein can be embodied in a wide variety of forms, and any specific structure and / or function described herein is merely illustrative. Based on the present disclosure, those skilled in the art should understand that one aspect described herein can be implemented independently of any other aspect, and two or more of these aspects can be combined in various ways. For example, any number of aspects described herein can be used to implement a device and / or practice a method. Additionally, this device and / or this method can be implemented using other structures and / or functions in addition to one or more of the aspects described herein.
[0018] It should also be noted that the illustrations provided in the following embodiments are only schematic illustrations of the basic concept of the present disclosure. The drawings only show components related to the present disclosure rather than being drawn according to the number, shape and size of components in actual implementation. In actual implementation, the type, quantity and proportion of each component may be changed arbitrarily, and the component layout may also be more complicated.
[0019] Additionally, in the following description, specific details are provided to facilitate a thorough understanding of the examples. However, it will be understood by those skilled in the art that the aspects described may be practiced without these specific details.
[0020] Next, refer to Figure 1 , describing a method for dispatching an automatic escalator passenger elevator car for aviation according to the present invention.
[0021] S101: Obtain the arrival information of flights in a future time period T and calculate the number of passenger elevators Ni required for each time sub-interval Ti according to the flight arrival time. Specifically, in the first step, the system will obtain the list of all arriving flights scheduled in the future time period T and their accurately estimated landing time through the aviation information system. This time period can be set according to actual needs, such as 24 hours a day or more specific time periods such as morning, afternoon and evening, and the overall duration is further subdivided into multiple time sub-intervals Ti accordingly. Taking the specific time of arrival of each flight as a reference point, it can be predicted that during each such small time period, the airport may need to be equipped with the number of passenger elevators Ni that must be used to serve passengers getting on and off the plane. In a more specific embodiment, the time sub-interval Ti starts at the time of arrival of a flight and ends at the time of arrival of another flight. In this way, in a time sub-interval Ti, the demand for the number of passenger elevators will not change significantly. In addition, the length of each time sub-interval Ti will also vary due to different flight time intervals.
[0022] For example, in a specific embodiment, the arrival time ti and the expected number of passengers Pi of all flights in a future time period T can be obtained from the aviation information system, and the time period T can be divided into multiple time sub-intervals Ti according to the arrival time ti of the flights. The duration of each time sub-interval Ti is Δi. For each time sub-interval Ti, the total expected number of passengers of all flights in the time sub-interval is counted, and the number of passenger elevators Ni required for each time sub-interval Ti is calculated based on the preset maximum passenger capacity C of each passenger elevator.
[0023] S102: Sort the operation priorities of the passenger boarding bridges according to the current remaining power Qi of each passenger boarding bridge, where the higher the current remaining power Qi, the higher the operation priority. Specifically, obtain the current remaining power Qi of each passenger boarding bridge; set a power threshold Q_th. If the current remaining power Qi of a passenger boarding bridge is greater than Q_th, mark it as a high-priority passenger boarding bridge, otherwise mark it as a low-priority passenger boarding bridge; for high-priority passenger boarding bridges, sort them in descending order according to the remaining power Qi; and give priority to using high-priority passenger boarding bridges for operations. That is to say, during the time period T, give priority to using passenger boarding bridges with higher power for ferry operations, and give priority to making passenger boarding bridges with lower power for charging.
[0024] S103: Select the passenger boarding bridges that can be fully charged within the time period T based on the current remaining power Qi as candidate charging passenger boarding bridges. Specifically, in this application, not all low-power passenger boarding bridges will directly go for charging, but there is a priority order. Specifically, obtain the current remaining power Qi and charging power P of each passenger boarding bridge; calculate the theoretical time required for each passenger boarding bridge to be fully charged according to the battery capacity B and the current remaining power Qi of the passenger boarding bridge, and judge whether the theoretical time required for each passenger boarding bridge to be fully charged is less than or equal to the time period T. If the condition is met, select it as a candidate charging passenger boarding bridge; in addition, in this application, passenger boarding bridges with a current remaining power Qi lower than a preset minimum power threshold Q_min can be further screened out from the candidate charging passenger boarding bridges as candidate charging passenger boarding bridges with priority. That is to say, for passenger boarding bridges with a current remaining power Qi lower than the preset minimum power threshold Q_min, priority is given to arranging charging without being restricted by the priority. By selecting passenger boarding bridges that can be fully charged within the time period T as candidate charging passenger boarding bridges, the passenger boarding bridges can perform subsequent tasks in a fully charged state without being in a long-term power deficit state.
[0025] S104: Perform charging operations on the candidate charging passenger boarding bridges in descending order according to the remaining power Qi. One of the guiding principles followed here is to start from the highest existing percentage and gradually descend to relatively lower-digit objects and queue up in turn until a round is completed. The greatest benefit of such an operation is that it can ensure that most of the time there will be a sufficient number of well-conditioned facilities always in a standby state to cope with all possible changes at any time.
[0026] In a more specific embodiment, the passenger elevator truck with the highest current remaining power Qi can be selected from the candidate charging passenger elevator trucks; then it is judged whether the current remaining power Qi of the candidate charging passenger elevator truck is higher than the preset charging priority threshold Q_high. If so, the charging operation is preferentially carried out; if the current remaining power Qi of the candidate charging passenger elevator truck is lower than Q_high, it is judged according to the interval Δi between its estimated charging completion time and the next operation time. If its estimated charging completion time is less than the interval Δi of the next operation time, that is, less than the duration of the time sub-interval Ti is Δi, then charging is also carried out. The reason for such a setting is that these passenger elevator trucks can participate in the service in the next sub-interval, improving the service capacity of a single sub-interval.
[0027] More specifically, for the passenger elevator truck with the current remaining power Qi higher than the preset charging priority threshold Q_high, the first priority is given, and for the passenger elevator truck with the current remaining power Qi lower than Q_high but whose estimated charging completion time is less than the interval Δi of the next operation time, the second priority is given, and the priority level of the first priority is lower than that of the second priority. That is to say, the passenger elevator truck that can complete charging within the interval Δi of a single operation time is preferentially charged.
[0028] In addition, as Figure 2 shown, in this application, after the steps of obtaining the flight arrival information within a future time period T and calculating the number of passenger elevator trucks Ni required for each time sub-interval Ti according to the flight arrival time, the following several important steps are also included.
[0029] S201: At the start of each time sub-interval Ti, it is judged whether the estimated charging completion time Ei of each passenger elevator truck satisfies Ei ≤ Δi + Δt, where Δi is the duration of the time sub-interval Ti and Δt is the buffer time for the passenger elevator truck to be put into use after charging is completed. If it is satisfied, the passenger elevator truck is included in the candidate charging passenger elevator truck set. This time condition ensures that the vehicle after charging can be put into use when needed. The calculation of Ei depends on the performance of the charging equipment and the remaining power of the passenger elevator truck battery. Usually, Δt is set to 30 minutes to 1 hour, and the optimal value is 45 minutes to ensure sufficient preparation time.
[0030] That is to say, in this application, whenever a flight arrives, as a judgment trigger point, it is judged whether there is a passenger elevator truck that can complete charging and leave a preparatory buffer time in the next time.
[0031] S202: Calculate the charging priority Pi of each passenger elevator truck in the candidate charging passenger elevator truck set, Pi = (Ni / Qi) × Wi, where Wi is the weight coefficient of the passenger elevator truck, Ni represents the number of passenger elevator trucks required in a specific time period; Qi is the remaining power of the passenger elevator truck; Wi is used to adjust the weights of different vehicles, considering the specific performance or usage frequency differences of each vehicle. The weight coefficient is usually set within the range of [1, 5], and the most ideal average setting may be around 3.5. Specifically, in this application, on the premise that Ei ≤ Δi + Δt, for Pi = (Ni / Qi) × Wi, it can be seen that the less the remaining power Qi, the higher the priority. This is to preferentially charge the passenger elevator trucks with less power on the premise that charging can be completed within a single time period Ti.
[0032] S203: Sort the candidate charging passenger elevator trucks in descending order according to the charging priority Pi.
[0033] S204: Perform charging operations on the passenger elevator trucks according to the sorting to ensure that there are enough passenger elevator trucks available in the next time sub-interval Ti.
[0034] Above, the arrangement for charging passenger elevator trucks within a single sub-interval Ti has been described with reference to Figure 2 , Next, with reference to Figure 3 , Another embodiment of the present invention will be described.
[0035] S301: Judge the density Ci of flights arriving at the port within each time sub-interval Ti, Ci = Fi / Δi, where Δi is the duration of the time sub-interval Ti, and Fi is the number of arriving flights within the time sub-interval Ti. For example, in one embodiment, if the length of a certain sub-interval Δi is 30 minutes and there are 5 arriving flights during this period, then the flight arrival density Ci within this time period is 10.
[0036] S302: If Ci is greater than the preset density threshold C_threshold, then adjust the charging operation of the passenger elevator truck, and reduce the number of charging passenger elevator trucks in this time sub-interval according to the ratio C_threshold / Ci. When the density Ci exceeds the preset threshold C_threshold, additional processing will be performed, including adjusting the current charging plan to ensure that there are enough working passenger elevator trucks to serve the intensive arrival situation. Specifically, reduce the number of passenger elevator trucks in the charging state so that more passenger elevator trucks are in the standby state. For example, in the original technology, 10 escalator trucks will be charged during the time period Ti. If Ci = 10 and C_threshold = 8 at this time, then reduce the number of charging passenger elevator trucks in the Ti time period according to the ratio 8 / 10, that is, only 8 escalator trucks are reserved for charging, so that additional reserve power can be provided for the peak period.
[0037] S303: Re-determine the set of candidate charging passenger elevator trucks according to the adjusted number of charging passenger elevator trucks Ni_charge, and perform the charging operation in the order of the remaining power Qi from high to low. At this stage, for the remaining passenger elevator trucks, the charging operation is still performed in the order of the remaining power Qi from high to low.
[0038] In another embodiment, considering the situation where the density of flight arrivals is greater than the threshold, at this time, it is required that the passenger elevator trucks with more power be on standby. Therefore, in step S303, it is a better choice to perform the charging operation in the order of the remaining power Qi from low to high, that is, to keep more passenger elevator trucks with more power on standby. In addition, in step S302, when reducing the number of charging passenger elevator trucks, give priority to reducing the passenger elevator trucks with a high remaining power Qi, that is, let the passenger elevator trucks with a high remaining power Qi be in the standby state.
[0039] Next, refer to Figure 4 , and further describe the step of selecting the passenger elevator trucks that can be fully charged within the time period T based on the current remaining power Qi as the candidate charging passenger elevator trucks of the present invention.
[0040] S401: Calculate the time Ti_charge required for the passenger elevator truck to be fully charged = (Qmax - Qi) / P_charge, where Qmax is the power when the passenger elevator truck is fully charged, and P_charge is the charging power. Calculate the time Ti_charge required for each passenger elevator truck to be fully charged.
[0041] S402: Determine whether Ti_charge is less than or equal to the remaining time T_remaining of time period T. T_remaining is the duration from the start charging time of the passenger boarding bridge vehicle to the end time of time period T. If it is satisfied, select this passenger boarding bridge vehicle as a candidate charging passenger boarding bridge vehicle. Specifically, for a passenger boarding bridge vehicle that has just completed its operation task, it may complete the operation task at a certain moment in time period T. Therefore, it is also necessary to determine whether it needs to be charged.
[0042] S403: Sort the candidate charging passenger boarding bridge vehicles in ascending order according to the charging completion time Ti_charge. Sort all the eligible alternatives. After selecting the passenger boarding bridge vehicles that meet the criteria according to the above algorithm, arrange them in ascending order with the estimated Ti_charge as the standard to form an ascending list, ensuring that the one that can restore all performance levels first is ranked in the front position.
[0043] S404: Perform charging operations on the candidate charging passenger boarding bridge vehicles according to the sorting.
[0044] For example, in an instance, assume that there are five different types of escalator passenger boarding bridge vehicles labeled C1 to C5. Among them, C1, C3, and C4 have different remaining battery levels of 10 kWh (corresponding to a total capacity of 60 kWh), 30 kWh (corresponding to a total capacity of 70 kWh), and 45 kWh (corresponding to a total capacity of 50 kWh) respectively. The average output provided by the charging facility is set to 10 kW. The airport ground support team plans to use the next hour to centrally handle the upcoming peak flight period. At this time, it is necessary to determine whether there are sufficient resources to maintain operational continuity. So, check each candidate device item by item according to the above method to see if it is suitable to participate in the rapid replenishment action plan: Specifically, in this scenario, for vehicle C1, calculate that its complete charging time will be Ti_charge_C1 = (60 - 10) / 10 = 5 h. Obviously, this exceeds the one-hour limit allowed for waiting, so it will not be included in the preferred group. Then check the other two: Ti_charge_C3 = (70 - 30) / 10 = 4h > T_remaining; but considering that C4 has a lower initial battery state and only needs about half an hour to be fully operational, this vehicle will be added to the preparation list. In addition, other eligible candidates also need to be evaluated in the same way to finally establish an optimal set for emergency scheduling arrangements in the next period of time. In this way, not only the response efficiency is improved, but also the possible work pressure can be better coped with, ensuring that the service quality is not affected.
[0045] The formula and execution logic are set in this way mainly to make the operation more reasonable and efficient. Ensure that each scheduling decision is the best choice based on the actual situation, maximize the use of limited resources to improve the service level, avoid job interruption due to insufficient power, and improve passenger satisfaction while reducing the overall operating cost through precise allocation.
[0046] In summary, a dispatching method for an escalator passenger elevator vehicle for aviation of the present application includes obtaining flight arrival information within a future time period T and calculating the number of passenger elevator vehicles Ni required for each time sub-interval Ti according to the flight arrival time; sorting the operation priorities of the passenger elevator vehicles according to the current remaining power Q of each passenger elevator vehicle, where the higher the current remaining power Q, the higher the operation priority; selecting the passenger elevator vehicles that can be charged within the time period T based on the current remaining power Q as candidate charging passenger elevator vehicles; and performing charging operations on the candidate charging passenger elevator vehicles in descending order of the remaining power Q. Through the solution of the embodiment of the present disclosure, the interruption of the pick-up service can be prevented.
[0047] It should be understood that each part of the present application can be implemented by hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. All or part of the steps of the method in the above embodiments can be completed by a program instructing relevant hardware, and the program can be stored in a computer-readable storage medium. When the program is executed, it includes one or a combination of the steps of the method embodiment.
[0048] In addition, in each embodiment of the present application, each functional unit can be integrated in a processing module, or each unit can exist physically alone, or two or more units can be integrated in a module. The above integrated module can be implemented in the form of hardware or in the form of a software functional module. If the above integrated module is implemented in the form of a software functional module and sold or used as an independent product, it can also be stored in a computer-readable storage medium. The storage medium can be a read-only memory, a magnetic disk, an optical disc, etc.
[0049] The above is only the specific implementation manner of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art within the technical scope disclosed by the present application can easily think of various changes or substitutions, and these should all be covered by the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.
Claims
1. A method for dispatching an escalator passenger car for aviation, characterized in that: include: Obtain flight arrival information within the next time period T and calculate the number of passenger elevators Ni required for each time sub-interval Ti according to the flight arrival time; The operation priority of the passenger elevator is sorted according to the current remaining power Qi of each passenger elevator, wherein the higher the current remaining power Qi is, the higher the operation priority is; Based on the current remaining power Qi, a passenger elevator vehicle that can be fully charged within the time period T is selected as a candidate charging passenger elevator vehicle; as well as The charging operation is performed from the candidate charging passenger elevator cars in order of the current remaining power Qi from high to low.
2. The method for dispatching an escalator passenger car for aviation according to claim 1, characterized in that: The time subinterval Ti starts with the arrival time of one flight and ends with the arrival time of another flight.
3. The method for dispatching an automatic escalator passenger elevator car for aviation according to claim 1, characterized in that: For passenger elevators whose current remaining power Qi is lower than the preset minimum power threshold Q_min, charging is arranged first without being restricted by the priority level.
4. The method for dispatching an escalator passenger car for aviation according to claim 1, characterized in that: The charging operation of charging the candidate charging passenger elevator vehicles in order of current remaining power Qi from high to low further includes: Determine whether the current remaining power Qi of the candidate charging passenger elevator car is higher than the preset charging priority threshold Q_high. If so, assign the first priority and perform charging operations in the order of the current remaining power Qi from high to low; If the current remaining power Qi of the candidate charging passenger elevator car is lower than Q_high, it is judged according to the interval Δi between its expected charging completion time and the next operation time. If its expected charging completion time is less than the interval Δi between the next operation time, it is given the second priority and the charging operation is performed in the order of the current remaining power Qi from high to low; Among them, the first priority has a lower priority than the second priority.
5. The method for dispatching an escalator passenger car for aviation according to claim 1, characterized in that: After the step of obtaining the flight arrival information in the future time period T and calculating the number of passenger elevators Ni required for each time sub-interval Ti according to the flight arrival time, the method further includes: At the beginning of each time sub-interval Ti, determine whether the estimated charging completion time Ei of each passenger elevator vehicle satisfies Ei ≤ Δi + Δt, where Δi is the duration of the time sub-interval Ti, and Δt is the buffer time from the completion of charging to the commissioning of the passenger elevator vehicle. If so, the passenger elevator vehicle is included in the candidate charging passenger elevator vehicle set; Calculate the charging priority Pi of each passenger elevator in the candidate charging passenger elevator set, Pi = (Ni / Qi) × Wi, where Wi is the weight coefficient of the passenger elevator; Sort the candidate charging passenger elevator vehicles from high to low according to the charging priority Pi; The candidate charging passenger elevator vehicles are charged in the time sub-interval Ti according to the ranking.
6. The method for dispatching an escalator passenger car for aviation according to claim 5, characterized in that: Said also includes: Determine the density of flights arriving at the airport in each time sub-interval Ti, Ci = Fi / Δi, where Δi is the duration of the time sub-interval Ti, and Fi is the number of flights arriving at the airport in the time sub-interval Ti; If Ci is greater than the preset density threshold C_threshold, the charging operation of the passenger elevator is adjusted, and the number of charging passenger elevators Ni_charge in the time sub-interval is reduced according to the ratio C_threshold / Ci; The candidate charging passenger elevator car set is re-determined according to the adjusted number of charging passenger elevator cars Ni_charge, and the charging operation is performed in the order of the remaining power Qi from high to low.
7. The method for dispatching an escalator passenger car for aviation according to claim 5, characterized in that: Said also includes: Determine the density of flights arriving at the airport in each time sub-interval Ti, Ci = Fi / Δi, where Δi is the duration of the time sub-interval Ti, and Fi is the number of flights arriving at the airport in the time sub-interval Ti; If Ci is greater than the preset density threshold C_threshold, the charging operation of the passenger elevator is adjusted, and the number of charging passenger elevators Ni_charge in the time sub-interval is reduced according to the ratio C_threshold / Ci, wherein the reduction is carried out in the order of the remaining power Qi from high to low; The candidate charging passenger elevator car set is re-determined according to the adjusted number of charging passenger elevator cars Ni_charge, and the charging operation is performed in the order from low to high according to the remaining power Qi.
8. The method for dispatching an escalator passenger car for aviation according to claim 1, characterized in that: The step of selecting a passenger elevator vehicle that can be charged within the time period T as a candidate charging passenger elevator vehicle based on the current remaining power Qi further includes: Calculate the time required for the passenger elevator to complete charging: Ti_charge = (Qmax - Qi) / P_charge, where Qmax is the amount of electricity when the passenger elevator is fully charged, and P_charge is the charging power; Determine whether Ti_charge is less than or equal to the remaining time T_remaining of the time period T, where T_remaining is the time from the start time of charging of the passenger elevator to the end time of the time period T. If so, the passenger elevator is selected as a candidate charging passenger elevator; Sort the candidate charging passenger elevator vehicles in ascending order according to the charging completion time Ti_charge; The candidate charging passenger elevator vehicles are charged according to the ranking.
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