An automatic escalator passenger lift truck control method for aviation

Abstract

An embodiment of the present disclosure provides a method for regulating an escalator passenger lift vehicle for aviation use, including: obtaining the actual arrival time and boarding gate location information of each flight; predicting the simultaneous service demands of multiple flights and identifying potential task assignment conflict situations; calculating the service priorities of each escalator passenger lift vehicle based on real-time flight dynamics and historical traffic flow data; and adjusting the task assignment plan of the escalator passenger lift vehicle according to the calculated priorities to avoid conflicts caused by the simultaneous service demands of multiple flights and improve the scheduling efficiency. Through the solution of the embodiment of the present disclosure, the problem of task assignment conflicts caused by the simultaneous service demands of multiple flights in the scheduling of escalator passenger lift vehicles for aviation use can be solved.

Description

Technical Field

[0001] This application relates to the scheduling technology of aviation ground support equipment, and specifically to a method for regulating and controlling an escalator passenger boarding bridge for aviation use. Background Art

[0002] The scheduling of escalator passenger boarding bridges for aviation aims to solve the problem of effective matching between airport flight arrivals and boarding bridge resources. This method optimizes the scheduling process by introducing advanced algorithms and technologies, and ensures that each flight can obtain the required escalator or passenger boarding bridge service efficiently and quickly. However, significant challenges still exist when implementing the regulation and control method. Especially during peak periods, when multiple flights almost simultaneously require the service of escalators or passenger boarding bridges, it will lead to conflicts in task allocation. In this case, how to avoid resource waste while ensuring that all flights can board and disembark passengers in a timely manner, as well as reducing the waiting time of passengers, etc. have become key problems. Summary of the Invention

[0003] In view of this, embodiments of the present disclosure provide a method for regulating and controlling an escalator passenger boarding bridge for aviation, which at least partially solves the problems existing in the prior art.

[0004] The present invention provides a method for regulating and controlling an escalator passenger boarding bridge for aviation, including:

[0005] Obtaining the actual arrival time and boarding gate position information of each flight;

[0006] Predicting the simultaneous service demands of multiple flights and identifying potential task allocation conflict situations;

[0007] Calculating the service priority of each escalator passenger boarding bridge based on real-time flight dynamics and historical traffic flow data analysis;

[0008] Adjusting the task allocation plan of the escalator passenger boarding bridge according to the calculated priority.

[0009] In a specific embodiment, the step of calculating the service priority of each escalator passenger boarding bridge based on real-time flight dynamics and historical traffic flow data analysis specifically includes:

[0010] Calculating the service importance factor Si of each flight within the current time period based on the actual arrival time of each flight at the current moment obtained in real-time and the arrival density of each flight in the historical same period;

[0011] Calculating the distance Di,j to each flight's boarding gate according to the boarding gate position information;

[0012] Considering the current task status and location of each escalator passenger boarding bridge to calculate the service capacity factor Pi;

[0013] Obtain the service priority Pij = Si × Pi / Di,j, where Si represents the service importance factor of the ith flight, Di,j represents the shortest straight-line distance from the escalator passenger elevator vehicle j to the boarding gate of the ith flight, and Pi represents the current service capacity factor of the escalator passenger elevator vehicle j.

[0014] In a specific embodiment, before obtaining the service priority by comprehensively considering various factors, the method further includes:

[0015] Compare the actually arrived time obtained in real time with the standard arrival time;

[0016] When the actually arrived time is earlier or delayed by more than the threshold time Dd compared with the expected time, trigger the special service priority adjustment flag flagS;

[0017] Immediately start the service priority reordering mechanism to update the service priority order of all on-site passenger elevator vehicles.

[0018] In a specific embodiment, after calculating the service priority obtained by comprehensively considering various factors, it further includes the steps of an adjustment mechanism, specifically including:

[0019] Reorder based on the updated priority value;

[0020] Record the newly assigned task plan for each escalator passenger elevator vehicle;

[0021] Evaluate the impact of the scheduling change on the total scheduling duration in comparison with the adjusted priority level;

[0022] If the impact exceeds the preset tolerance threshold, return for further analysis and optimization, otherwise continue according to the new plan.

[0023] In a specific embodiment, after comparing the set delay threshold with the actual delay time, the following steps are further included:

[0024] Adjust the standby or service status of each escalator passenger elevator vehicle based on the currently calculated priority of each vehicle;

[0025] Check the task queues of each escalator passenger elevator vehicle to ensure the continuity and smoothness of the tasks;

[0026] Monitor the on-site operation status after the priority assignment adjustment through the system feedback information, including the current positions and service statuses of each vehicle;

[0027] When verifying the adjustment effect, consider the total waiting time and vehicle turnover rate as the verification benchmarks. If the actual efficiency reaches the set standard, confirm that the optimization is effective, otherwise further adjust individual parameters until the set standard is reached or exceeded.

[0028] In a specific embodiment, the method further includes obtaining the overall efficiency improvement degree through the total waiting time WT, the average passenger passing time TP, and the escalator equipment workload Load, including:

[0029] Obtain the expected standard efficiency E according to historical data;

[0030] Use statistical methods to estimate the overall scheduling performance in the current situation;

[0031] Examine the scheduling results of each batch and mark the changes that exceed the predetermined time limit Ld for in-depth analysis;

[0032] If TE = (WT / WTold) × (1 + TP / TPnew) × SQRT(Loadavg / max_Load) ≥ E, then confirm the improvement of this algorithm, where WT represents the overall waiting cycle, WTold represents the old waiting time, TP represents the benchmark of the passenger passing duration, TPnew is the new value after the improved solution, Loadavg is the average load in the recent batches of tasks, and max_Load is the maximum load-bearing condition under a single task.

[0033] In a specific embodiment, the step of calculating the service priority of each escalator passenger elevator based on real-time flight dynamics and historical traffic flow data is specifically as follows:

[0034] Obtain the status information of the escalator passenger elevator, where the status information includes the working status and the power information;

[0035] Obtain real-time flight dynamic information, where the information includes the flight number, the expected arrival time, and the distance information from the boarding gate to the current position of the escalator vehicle;

[0036] Obtain historical traffic flow data, which includes the statistical data of the past traffic flow in different time periods;

[0037] Comprehensively evaluate the service priority of each escalator passenger elevator based on the importance of the flight, the current congestion situation at the boarding gate, and the workload of each escalator passenger elevator.

[0038] In a specific embodiment, the evaluation based on the importance of the flight includes:

[0039] Determine the flight level Pj;

[0040] Analyze the passenger flow Mj during this time period and the average passenger waiting time wj during this period;

[0041] Evaluate the comprehensive score according to Pj × Mj / wj, where the parameter Pj represents the flight class coefficient, Mj represents the passenger flow of the flight at the current time period, and wj represents the average waiting time of passengers.

[0042] In a specific embodiment, the evaluation based on the current congestion situation of the boarding gate specifically includes the following steps:

[0043] Obtain the total number of congestion times N_T_j of the boarding gate within the current time period T;

[0044] Calculate the average passing time A_T within T;

[0045] Obtain the average passenger movement speed V;

[0046] If N_T_j > 0 and A_T × V < S, the priority weight of this flight service needs to be increased, where S is the distance from the security check to the boarding gate.

[0047] In a specific embodiment, the evaluation of the service priority of each escalator passenger elevator based on the workload of each escalator passenger elevator includes:

[0048] Collect the number of completed service times SC_i of all escalator cars i in the past time period;

[0049] Statistically sum up the importance levels SG_i of the flights served by each escalator passenger elevator during this period;

[0050] Obtain the satisfaction score SF_i given by passengers after each service is completed;

[0051] Use the weight formula (W_SC × SC_i + SG_i) / SF_i to evaluate the priority of the escalator car under the influence of the workload, where W_SC represents the proportion weight of the number of completed service times in the priority calculation.

[0052] The embodiments of the present disclosure provide a method for regulating an escalator passenger elevator for aviation, including: obtaining the actual arrival time and boarding gate location information of each flight; predicting the simultaneous service requirements of multiple flights and identifying potential task assignment conflict situations; calculating the service priority of each escalator passenger elevator based on real-time flight dynamics and historical traffic flow data analysis; adjusting the task assignment plan of the escalator passenger elevator according to the calculated priority to avoid conflicts caused by the simultaneous service requirements of multiple flights and improve the scheduling efficiency. Through the solution of the embodiments of the present disclosure, the problem of task assignment conflicts caused by the simultaneous service requirements of multiple flights in the scheduling of escalator passenger elevators for aviation can be solved. Brief Description of the Drawings

[0053] 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 depict only some embodiments disclosed in accordance with the present application and should not be regarded as limiting the scope of the present application.

[0054] Figure 1 is a flowchart of a method for regulating an escalator passenger lift truck for aviation use;

[0055] Figure 2 is a flowchart for calculating the service priority of each escalator passenger lift truck based on real-time flight dynamics and historical traffic flow data analysis;

[0056] Figure 3 is a flowchart for obtaining the overall efficiency improvement degree by the total waiting time WT, the average passenger passing time TP, and the working load Load of the escalator equipment;

[0057] Figure 4 is a flowchart for calculating the service priority of each escalator passenger lift truck based on real-time flight dynamics and historical traffic flow data analysis;

[0058] Figure 5 is a flowchart for evaluating the service priority situation of each escalator passenger lift truck based on the working load of each escalator passenger lift truck. Detailed Embodiments

[0059] In the following, only some exemplary embodiments are simply described. As those skilled in the art can recognize, the described embodiments can be modified in various different ways without departing from the spirit or scope of the present application. Therefore, the drawings and the description are considered to be exemplary in nature rather than restrictive.

[0060] Next, with reference to the accompanying drawings, a method for regulating an escalator passenger lift truck for aviation use according to the present invention is described. This method is mainly used to solve the problem of task assignment conflicts caused by the service requirements of multiple flights simultaneously in the scheduling of escalator passenger lift trucks for aviation use, and to improve the working efficiency and operation smoothness of airport ground support equipment.

[0061] As Figure 1 shown, the method for regulating an escalator passenger lift truck for aviation use according to the present invention includes:

[0062] S101: Obtain the actual arrival time and boarding gate location information of each flight; This step of operation is based on the published arrival times and estimated berthing schedules within the airline system, and uses the real-time data update function of the airport flight display system to monitor the specific arrival times and docking door numbers of these flights, so as to accurately predict and respond to any possible changes, making the escalator vehicle scheduling decision more accurate and effective. This includes tracking and recording the information of all currently incoming flights.

[0063] S102: Predict the simultaneous service requirements of multiple flights and identify potential task assignment conflicts. Based on the actual arrival times obtained above, predict which periods will have multiple flights requiring service simultaneously. For example, in a specific situation, if two or three flights arrive in two or three adjacent arrival areas almost at the same time or with a short interval, it is considered that this will pose a greater pressure on the escalator vehicle service, and there may be a situation where the rapid evacuation of passengers cannot be satisfied. This stage also takes into account factors such as the different numbers of escalator vehicles required for different aircraft types.

[0064] Immediately following is to identify potential risks, that is, analyze whether there is a possibility of congestion or resource overlap during task assignment. For example, a large passenger aircraft can accommodate more than 500 passengers. When it disembarks passengers, it will inevitably generate high transportation requirements. Enough standard escalator types of the appropriate quantity and type must be reserved in advance to ensure rapid turnover and prevent congestion; otherwise, perhaps only small models need to be mobilized for support.

[0065] S103: Calculate the service priorities of each escalator passenger elevator vehicle based on real-time flight dynamics and historical traffic flow data. Combine the dynamic information collected above, the actual working speed of this type of vehicle in past similar situations, and the empirical data accumulated in the past for comprehensive judgment, and formulate a list of different priority levels for each available docking facility as the basis for the next adjustment. For example, through the statistical data such as the number of incoming aircraft between E88 - F99 among the gates of Island C in the West Second Area of Pudong Hub from the European direction between 18:30 and 22:00 every Friday evening in the past five years and the average time per trip that each vehicle stays during the task execution, it can be known that there will be a significant peak in the flow of people a few days before holidays. At this time, those flight crews with relatively stable performance and no recent maintenance records should be arranged to participate in this operation to reduce the possibility of delays. At the same time, compile a temporary seat sequence map for the flight formation from 17:45 on the upcoming Thursday afternoon to 6:25 the next morning for relevant personnel to refer to and execute;

[0066] S104: Adjust the task allocation plan of the escalator passenger lift truck according to the calculated priority. The last item is to guide the deployment of the actual command and dispatching operations based on the conclusions drawn from the previous links, and take various measures to avoid collision problems that may be caused by the superposition of the above-mentioned various complex situations, so as to achieve a more orderly and efficient operation mechanism; in addition, it is necessary to pay attention to any unexpected information newly transmitted later and adjust the pre-plan; if a certain entry roulette is delayed due to some objective reasons and the original plan is affected, an emergency response should be made immediately to change the existing sequence arrangement order; for example, a small spare unit that is about to welcome the departure operation of the next passenger ticket can be urgently transferred up to take over the shift. In this way, not only can the challenges of suddenly changing environmental conditions be properly addressed, but also the rights and interests of passengers can be ensured, so that each transportation can be carried out smoothly without hindrance, and the overall service level of the airport can be improved. For example: If it is predicted that three airliners will land simultaneously within just 10 minutes one evening, in order to avoid congestion and delays caused by resource competition, the dispatcher will arrange the escalator buses corresponding to the flights with higher priorities in advance; if a flight is postponed due to a delay but is still within the peak period, the effective operation cycle of a series of devices already on standby at the scene can be appropriately extended without withdrawing from the task state too early. In this case, the task allocation of the escalator trucks will be flexibly adjusted according to the latest actual conditions, so that the limited resources can be effectively utilized to the greatest extent to meet the basic wish of passengers for timely and convenient transfer.

[0067] Next, refer to Figure 2 , and describe the specific steps of calculating the service priority of each escalator passenger lift truck based on the real-time flight dynamics and historical traffic flow data of the present invention.

[0068] S201: Calculate the service importance factor Si of each flight within the current time period based on the actual arrival time of each flight at the current moment obtained in real time and the arrival density of each flight in the same historical period. This step starts with calculating the service importance factor of each current flight. The actual arrival information of each flight at the current moment is obtained in real time. Combining the historical traffic data within a specific time period (for example, the arrival frequency of each flight route during the period from 6:00 am to 10:00 am), a value can be assigned to each flight waiting to be processed to reflect its importance. The range of the service importance factor is usually between 1 and 10, and the higher the value, the higher the priority of the flight. For example, in a certain embodiment, since it is the peak period of international flights and flight XY-1006 arrived early on the same day, its service importance factor is determined to be 7.4.

[0069] S202: Calculate the distances Di,j to the boarding gates of each flight based on the boarding gate location information. Then, based on the specific geographical location information of all the flight boarding gates obtained, the shortest distance between any one flight and the boarding gates of all other flights can be calculated. This process is crucial because it directly affects the dispatching efficiency of the passenger boarding bridges - the shuttle closer to the destination should serve the flights near it first. For example, in a specific scenario, flights XY-1006 and XY-801 are waiting for the passenger boarding bridge service in the boarding areas of two different terminals. After calculation, it is found that the distance between the boarding gate where XY-1006 is located and the nearest available idle passenger boarding bridge is 300 meters (as an example, Di,j is the distance between the boarding gates of flights i and j).

[0070] S203: Consider the current task status and location of each passenger boarding bridge to calculate the service capacity factor Pi. Immediately afterwards, consider the current load and status of the passenger boarding bridge itself, as well as its current location (such as being in an idle state, performing other pick-up and drop-off tasks, or already on the way to another flight boarding gate) to estimate the capacity index of each passenger boarding bridge. This indicator can show the ability of the vehicle to quickly respond to and handle service requests, and the range can be set from 1 to 5. The larger the number, the higher the efficiency and the more idle it is. For example, when a certain passenger boarding bridge has completed the previous task and is moving towards the main terminal of the airport, it may have a relatively high capacity index such as 4 or 5. This is because its next step is to accept a new task, and its current location is relatively flexible and can quickly adjust the route according to needs to support the requirements in any direction.

[0071] S204: Obtain the service priority Pij = Si × Pi / Di,j, where Si represents the service importance factor of flight i, Di,j represents the shortest straight-line distance from passenger boarding bridge j to the boarding gate of flight i, and Pi represents the current service capacity factor of passenger boarding bridge j. Finally, combine the three pieces of data calculated previously - the urgency of the service demand of the current flight (e.g., 7.4), the distance between the boarding gates (i.e., 300 meters, which needs to be converted to its reciprocal value to meet the calculation requirements, converted to 1 / 300, i.e., 0.00333), and the available status of the passenger boarding bridge (here the assumed value is 4, which is the efficiency score evaluated according to the actual situation), according to the following equation: Pij = Si × (1 / Di,j) / Pi. Combining these three factors, Pij represents a weight score for flight i and service passenger boarding bridge j in the service dispatching decision.

[0072] The reasons for setting up this formula are as follows. On the one hand, the service importance factor Si ensures that flights can be given priority in case of emergencies. On the other hand, the reciprocal relationship of distance enables escalator vehicles that are closer to the flight and in good preparation to have a greater chance of being dispatched first. The service efficiency index Pi is used to ensure that reasonable arrangements are made only under practical conditions. Ultimately, the purpose is to minimize the waiting time of passengers and improve the overall service quality to the greatest extent under the premise of the efficient operation of the entire system. In summary, this algorithm can optimize the allocation of escalator passenger cars while meeting the immediate requirements of different flights.

[0073] Next, the steps of the present invention before obtaining the service priority by synthesizing various factors are described.

[0074] Specifically, in the present invention, based on the comparison result of the actual arrival time actually obtained and the preset standard arrival time, when the actual arrival time is earlier or delayed than the expected time by more than the specified time, the system will trigger a mark for adjusting the priority of special services. Immediately afterwards, the system starts the mechanism for updating the priority service permission of the passenger elevator vehicle and synchronously corrects all service rankings, and sets a certain delay time threshold to evaluate the delay situation of the flight and thereby determine the label status of the priority adjustment.

[0075] The comparison between the actual arrival time and the standard arrival time refers to the system obtaining the actual flight arrival data from the airline in real time and comparing it with the arrival time predefined and stored in the system for analysis, so as to understand whether the flight is executed according to the plan, early or late. This real-time collection and analysis of flight data ensures that the passenger elevator vehicle service can be flexibly dispatched according to the latest changes, avoiding unnecessary waiting and resource misallocation.

[0076] If the actual measurement shows that the arrival time is more than 15 minutes earlier or later than the prediction, a mechanism called the special priority flag will be activated to give an early warning and indicate that the service sequence needs to be adjusted. This 15-minute setting is to balance efficiency and the passenger experience - it is a threshold value reasonably set considering various factors such as traffic conditions and airport handling capabilities that may cause short-term changes. It is neither too strict to cause frequent changes nor too broad to make emergency handling lag and fail.

[0077] After the system detects that the deviation of the round-trip time is more than 15 standard deviations, it automatically enables the re-ranking of the priority level of the passenger elevator vehicle. This program ensures the most effective allocation of existing equipment and timely adaptation to sudden changes, and minimizes the waiting time of stranded passengers and improves the overall process smoothness by dynamically optimizing the service priority order.

[0078] The threshold parameter Td is set to 15 minutes to compare with the real number Dd, which represents the specific value of the actual flight delay. The judgment condition Dd > Td means that the actual flight delay has exceeded the predetermined tolerance limit (that is, Dd is higher than Td = 15min), which prompts the system to set flagS to the logical open value 1, indicating that additional service resources need to be urgently mobilized and the passenger elevator service of the delayed aircraft should be arranged first. On the other hand, when the delay is still within the allowable range (not exceeding the 15 min threshold), the system defaults to setting this flagS to the closed / no special intervention value 0.

[0079] In a specific implementation case, if a flight from Beijing to Shanghai was originally scheduled to arrive in Shanghai at 2:30 pm, but actually touched down at 3:50 pm, since the delay time Dd = 80 min far exceeds Td = 15 min, the condition Dd > Td has obviously been successfully triggered to make flagS = 1; then the system immediately changes the highest priority order of the flight passenger elevator allocation and notifies the standby vehicles to move to the parking position as soon as possible to prepare for subsequent passenger congestion.

[0080] Next, the present invention is described as follows: after calculating the service priority obtained by integrating various factors, it also includes the step of adjusting the mechanism. The specific steps are as follows: re-order the escalator passenger elevator car based on the updated priority value; record the newly obtained task allocation plan for each escalator passenger elevator car; compare the scheduling effect of the original scheduling plan with the new task arrangement plan, and focus on whether the overall operation efficiency of the scheduling system is improved; if the overall change brought by the adjustment exceeds the upper limit of the allowable change, that is, 2%, the system will trigger an additional cycle process for in-depth and detailed re-optimization attempts. If the adjustment does not exceed the upper limit, the service will continue to be implemented according to the adjusted plan. In this way, real-time feedback and adjustment of the optimization strategy can be achieved, while ensuring efficiency and maintaining the working stability and efficiency of the scheduling system.

[0081] In one embodiment, there are multiple service elevator cars in the airport. Due to various emergencies (such as new passengers or early landing of flights), the current operation plan of the escalator may change. These changes may cause some elevators to have higher priority than originally expected. The system calculates and determines a priority list as an instant scheduling standard based on various factors affecting service demand (such as passenger flow, flight time, etc.). Then, the operation order of each escalator is reassigned according to the newly generated comprehensive priority level. The staff uses a specific mobile device to receive the newly arranged transportation work instructions and make timely adjustments to ensure service continuity.

[0082] After the updated elevator tasks are executed, it is also necessary to consider whether the new scheduling plan will bring negative consequences during actual execution, such as whether it prolongs the waiting time of some passengers or reduces the overall efficiency. For example, before reordering the elevators, 300 disembarking passengers of a certain flight were expected to wait for five minutes to reach the boarding gate, but through optimization, the overall time was reduced to less than four minutes or remained the same or even better. If it is found through comparison that the result of the reallocation instead causes a decline in the completion of some tasks, and the decline ratio exceeds the preset tolerance threshold (such as the ratio exceeding the originally expected efficiency improvement by more than -2%, and this ratio value is the best setting selected based on cost-benefit analysis during the experiment), at this time, it will be fed back to the upper-level control unit to request further research and improvement to prevent the adverse effects from affecting the customer experience and service quality. When the scheduling system verifies that there is no over-limit situation, it will operate according to the new elevator usage arrangement. This indicates that the changes made contribute to achieving more effective operation results.

[0083] Next, the following steps are also included after comparing the set delay threshold with the actual delay time in the present invention: adjusting the standby or service status of each escalator passenger elevator vehicle based on the currently calculated priority; checking the task queue of each escalator passenger elevator vehicle to ensure the continuity and smoothness of the tasks; monitoring the system feedback information to confirm the on-site operation status after the priority allocation adjustment, including the current positions and service statuses of each vehicle; when verifying the adjustment effect, considering the total waiting time and vehicle turnover rate as the verification benchmark Veff, setting the standard S0 = 90%, if the actual efficiency Vact reaches Veff >= S0, then confirm that the optimization is effective, otherwise further adjust individual parameters until the S0 standard is reached or exceeded.

[0084] First, based on the priority calculation results of each escalator passenger elevator vehicle, the system adjusts the service and standby modes of each elevator in real time through software algorithms. For example, if an elevator is in a location with a large number of passengers, the system will adjust its status to a continuous operation state instead of standby; then, a periodic check of the task execution queue is carried out. The purpose of this step is to ensure that each passenger elevator vehicle has sufficient free time to receive the next task and avoid the inconvenience to passengers caused by long waiting times; then, an effective monitoring link for the adjustment results. The system collects the position data and operating status of each escalator passenger elevator vehicle in real time. Once an abnormality occurs, such as the elevator failing to reach the preset station on time, it will immediately alarm to remind the staff to handle the problem.

[0085] In one embodiment, considering the busiest period of the day at Beijing Capital International Airport (from 6:30 am to 9:30 am), the elevator control system calculates the busyness index of each elevator according to the passenger volume prediction model. During this period, the elevator will adjust its working mode from standby mode to high-load mode, and outside this period, it may automatically return to low-load or shutdown mode.

[0086] To verify the adjustment effect, two important variables are introduced - the total waiting time and the vehicle turnover rate, which are two key points for evaluation, and a standard S0 is set to measure the performance of the overall system. The total waiting time refers to the sum of the average response time required by passengers when calling the elevator and the time to reach the destination. Ideally, the smaller this number is, the better, indicating that the system operation is more in line with the actual needs, improving the logistics turnover efficiency in the airport and thus enhancing customer satisfaction. The vehicle turnover rate is an indicator used to measure how many batches of passengers can be served per hour. The standard Veff represents the verification effectiveness, which is compared with the actual effect Vact. If Vact is greater than or equal to 90%, it is considered that the strategy modification is successful; otherwise, individual factors need to be carefully adjusted again until the standard is met.

[0087] Through the above process, we can see that scientific means can effectively improve the automation level and solve the congestion problem faced by large transportation hubs.

[0088] Next, referring to Figure 3 , the overall efficiency improvement degree TE for the three variables of the total waiting time WT, the average passenger passing time TP, and the escalator equipment workload Load of the present invention is described as follows:

[0089] S301: Obtain the expected standard efficiency E based on historical data; this step first reviews past performance data to set the benchmark efficiency, which is to determine the expected performance standard E of the escalator or passenger elevator car under ideal conditions. It is calculated through the statistics and experience accumulation of previous operations under given specific condition combinations such as peak traffic periods or holidays.

[0090] S302: Estimate the overall scheduling performance under the current situation using statistical methods; at this stage, by collecting the actual information of the system operation under the existing conditions (including but not limited to passing time and equipment load), appropriate data statistical means are used to evaluate the actual performance level and compare it with the aforementioned historical standard.

[0091] S303: Examine the scheduling results of each batch and mark the changes that exceed the predetermined period Ld (such as Ld = 5%) for in-depth analysis; this step is to conduct a detailed verification of the above statistical results, find out the reasons for all situations that do not meet the original goals, and record them, leaving a basis for further research and improvement. Usually, a tolerance interval is set, and when an abnormal change exceeds the tolerance value, it is considered that there are potential problems worthy of attention and follow-up.

[0092] S304: Use the total elevation amplitude TE = (WT / WTold) × (1 + TP / TPnew) × SQRT(Loadavg / max_Load), where WT represents the overall waiting period, WTold represents the old waiting time, TP represents the time benchmark for passengers to pass through, TPnew is the new value after the improved solution, Loadavg takes the load average of several recent batches of tasks, max_Load is the maximum bearable working condition under a single task, and SQRT is the square root symbol in the mathematical expression. If TE ≥ E, it indicates that the improvement of this algorithm is confirmed. This formula evaluates whether the changes brought by the introduction of the new algorithm can significantly improve the overall performance by comprehensively considering three key factors. For example, the part of WT / WTold emphasizes the importance of reducing the waiting time for efficiency improvement because the customer experience is directly affected and directly impacts the operation turnover speed and processing efficiency. If TPnew has a significant improvement step compared to the benchmark, it means that the resources consumed by a single individual to pass through the facility are reduced or the path becomes more optimized and rationalized, thus bringing a positive contribution.

[0093] The parameter WT represents the overall waiting time, and WTold represents the time amount before improvement. Both are in units of time, which can be seconds or minutes; TP is the moving time spent by a single pedestrian, while TPnew reflects the change in this time after applying the new technology. They should be within the same time length and be corresponding to ensure a fair evaluation and comparison; the final sub-item Loadavg is the burden level faced by the equipment averaged over several batches of operations within a period of time, and the maximum tolerance is called max_Load, which is used to define the boundary of the system design capacity. In an ideal state, the ratio of Loadavg / max_Load should be close to zero, that is, the actual pressure is far from approaching the upper limit, which is a safe and healthy operation indicator. Such an evaluation method setting is to ensure that while ensuring safety and stability, the service level and operation efficiency level are improved.

[0094] In one embodiment, when the new scheduling algorithm is applied to the large waiting hall of an international airport to accelerate the passing capacity of departing passengers to reach the boarding gate or the immigration channel, enough comparative data samples are collected through about one month of trial operation for scientific calculation and analysis. It is found that the average waiting and queuing time before and after the improvement has decreased by 20%, the passing speed has increased by 5%, and at the same time, the system operation load has decreased by 10%. Then, these change factors are quantified into a mathematical expression, that is, the formula calculates a comprehensive index showing that the efficiency has increased by 28%, exceeding the originally expected 20%. This shows that adopting this updated algorithm solution can achieve the purpose of significant efficiency increase. Therefore, it can be decided to comprehensively promote and deploy this optimized version to further promote the smooth operation of the entire terminal and ultimately bring more convenient and fast experience service improvement effects to passengers.

[0095] Next, referring to Figure 4 , a method for regulating an escalator passenger boarding vehicle for aviation is described for another embodiment of the present invention. This method is used for the process of transporting passengers from the boarding gate to the aircraft for boarding using an escalator passenger boarding vehicle for aviation. The step of calculating the service priority of each escalator passenger boarding vehicle based on real-time flight dynamics and historical traffic flow data is specifically as follows:

[0096] S401: Obtain the status information of the escalator passenger boarding vehicle, where the status information includes the working status and power information;

[0097] S402: Obtain real-time flight dynamic information, where the information includes the flight number, estimated arrival time, and the distance information from the boarding gate to the current position of the escalator vehicle;

[0098] S403: Obtain historical traffic flow data, which includes the statistical data of past traffic flows in different time periods;

[0099] S404: Comprehensively evaluate the service priority of each escalator passenger boarding vehicle based on the importance of the flight, the congestion situation at the current boarding gate, and the working load of each escalator passenger boarding vehicle.

[0100] Obtaining the status information of the escalator passenger boarding vehicle first involves identifying whether the current operating status of each escalator or passenger boarding vehicle is intact and its remaining battery level. These information help determine whether the vehicle is suitable for immediate service and how long it can work continuously without charging.

[0101] Obtaining the information of real-time flight dynamics is data for predicting the upcoming flight demand. Specifically, it includes the information of the aircraft expected to land or board and its time and spatial positions to each boarding gate inside the airport. This is crucial for promptly deploying the passenger boarding vehicle to prepare for passenger transfer.

[0102] Obtaining the information of the passenger flow dynamic records during the past historical period allows the algorithm of the dispatching system to estimate and better adjust the future resource arrangement by learning the past traffic patterns, avoiding the drawbacks of insufficient resources during peak periods and waste during off-peak periods. Finally, based on these collected main flight attribute level definitions (such as: VIP charter flights or important flights), the current crowd density at the location, and the task burden status of each vehicle, it is decided which device should be dispatched first for use to achieve the most appropriate result between efficiency and customer demand.

[0103] In one embodiment, assume that currently there are three passenger elevator vehicle models all in the on-line operation and with sufficient battery; next, a notice will be received that flight number ABC0219 is expected to arrive and land at Gate 3 at 2:55 pm; and according to previous experience, it shows that there is a high flow of people in this time zone leading to that place, so the system should comprehensively consider these situations to arrange tasks for each vehicle. In this decision-making process, it may involve using an evaluation function F(I, C, W) to represent the overall priority level of each vehicle V_i. In the formula, the letter I marks the range of the important property index of the flight, which is set from zero to one, and the larger the value, the more important it is, and the best state is to reach the maximum value of one. C refers to the crowding coefficient at a certain location, which is defined within the interval [0, 50], where the low value corresponds to a sparse environment and the high value indicates a crowded situation. At the same time, W identifies the workload burden of a specific passenger elevator vehicle at the current time, and its change limit in the actual application scenario is approximately [5, 80] or so.

[0104] To sum up, this evaluation mechanism is designed to be able to effectively integrate multiple variable factors from flight status and then guide the automated control of passenger elevator vehicles to adapt to efficient and stable operation under various complex conditions. This mechanism not only considers the criticality of a single task itself, but also combines the knowledge accumulated from past experience, further strengthening the flexibility of response when dealing with emergencies. At the same time, it also reduces the unnecessary waste of energy to a certain extent and improves the passenger service experience.

[0105] Next, the evaluation based on the importance degree of the flight in the steps of the present invention includes: determining the flight level Pj; analyzing the passenger flow Mj and the average passenger waiting time wj during this time period; where the higher Pj is, the higher the importance degree is and the higher the service response is required; both a large Mj and a long wj indicate high demand priority; the comprehensive score is evaluated according to Pj × Mj / wj, where the parameter Pj represents the flight grade coefficient, Mj represents the passenger flow of the flight during the current period, and wj represents the average passenger waiting time.

[0106] First, during the escalator or passenger elevator vehicle scheduling process, it is necessary to evaluate the service response level of each flight, which involves the step of determining the flight level Pj. Pj is a numerical value used to represent the requirement or expectation of a specified flight for the ground service level. Usually, flights are scored according to factors such as their type (difference between commercial flight and domestic flight), flight density, etc.; the higher the value, the more important the flight is, and thus the demand for the corresponding ground service is more urgent and efficient, so the priority is naturally higher.

[0107] Subsequently, under the application background of the regulation method, research is carried out on the passenger flow and the average waiting time, that is, analyzing the passenger flow Mj during this time period and the average passenger waiting time wj during this period. The factors to be considered here are whether the value of Mj is large, indicating that this time period may be during the peak period of the airport, and there are many passengers boarding or leaving the airport; if the value of wj is high, it means that the current airport equipment is not operating in a timely manner, resulting in a long waiting time. When these two scenarios occur, a priority processing decision needs to be made in terms of resource allocation.

[0108] Then, use the formula Pj × Mj / wj to determine the weight value of the flight and obtain its importance score. The higher Pj is, the more important the flight is. A large Mj and a large wj value indicate a strong demand and an immediate response. The application of this formula is to comprehensively consider the three variables to determine the sorting of each flight in the scheduling. The significance of the formula setting is: to give priority to ensuring those high-flow (many passengers) and long-stay (long waiting time) or high-value passenger flights with special requests / needs from airlines, in order to provide optimized services, ensure the smooth overall operation and avoid customer dissatisfaction as much as possible. All items in the formula take positive values (Pj, Mj, and wj are all greater than zero). The best result is the score with the largest value, indicating the most urgent and priority situation. The dispatcher should give priority to allocating the corresponding transportation tools to its parking position.

[0109] In a specific scenario, such as the relatively high takeoff and landing frequency of international flights, a relatively high initial value P1 may be given to this type of flight. If the airport monitoring system records that the passenger throughput of this type of aircraft in a certain time period T is much greater than the conventional standard, then M1 will increase accordingly. Similarly, if the average statistical value w1 at time point T also exceeds the preset range (the normal waiting time + α% as the reference range, where α refers to the floating coefficient, determined by each airport itself), then the total score Z obtained after calculation is obtained. The dispatcher selects the one with the highest Z from the numerous standby queues (including but not limited to different flights corresponding to the above three types of parameters) as the first service object, completing a closed-loop of the entire scheduling process. In this case, the importance of the flight will be quantitatively measured by the score of Pj×Mj / wj, and the scheduling strategy will become more accurate and effective, and closer to the actual situation. By dynamically adjusting various factors, it can flexibly respond to various complex changing situations.

[0110] Next, the specific evaluation based on the current congestion situation at the boarding gate of the present invention includes the following steps: obtaining the total congestion times N_T_j of the boarding gate within the current time period T; calculating the average passing time A_T within T; obtaining the average passenger moving speed V; if (N_T_j > 0) and A_T × V < S, the service priority weight of this flight needs to be increased, where S is the distance from the security check to the boarding gate.

[0111] Obtaining the total number of boarding gate congestions \(N_{T_j}\) within the current time period \(T\) means monitoring the frequency of congestion during the boarding process within a specified time period. Here, the boarding time period usually refers to the time period from when passengers arrive at the check-in area until check-in is completed. During this process, data can be collected through sensors installed in the boarding gate area. The frequency of boarding gate congestion is an important indicator for measuring the crowded state, which directly affects whether the flight takes off on time and the service experience of passengers.

[0112] Calculating the average passing time \(A_T\) within \(T\) means calculating the average time required for each passenger to pass through security check and enter the boarding gate within a certain period of time. This is the average value of a time period obtained by statistically analyzing the passenger flow data in and out of the boarding gate area. By calculating, we can better understand the speed at which passengers flow through key nodes, which helps to formulate reasonable service plans and scheduling schemes.

[0113] Obtaining the average passenger movement speed \(V\) refers to the estimated speed of each passenger walking from security check to the boarding gate during a specific boarding process. In some scenarios, it can be obtained through observation records or data analysis of existing systems. The movement speed directly determines the passenger flow handling capacity within a fixed time period and can help the decision support system estimate the boarding efficiency and congestion risk.

[0114] When \(N_{T_j}\gt0\), it indicates that there is at least one case of passenger congestion during the \(T\) time period. At the same time, \(A_T\times V\lt S\). This situation indicates that there is a congestion event, and the actual speed of passengers passing through security check and waiting in line is slower than the normal walking rhythm. To avoid potential greater chaos and impact on other subsequent operations (such as the flight departing on time), more resources and service forces should be considered for this check-in service to reduce the probability of delays and ensure passenger travel satisfaction. For example, in a specific airport scenario, if the system detects frequent congestion during a certain flight peak period and the analysis shows that each passenger needs to spend a large amount of extra time to complete the check-in procedures on average, the airport manager can decide to prioritize improving the check-in service level for this batch by temporarily arranging more passenger boarding bridges to optimize the customer experience and ensure the normal operation of the entire transportation.

[0115] Regarding the setting of these parameters, \(T\) is a dynamic interval and can be adjusted according to actual situations such as peak seasons or off-seasons to match the actual situation. Ideally, it is hoped that passengers can quickly complete all processes without spending too much time; however, considering safety and process complexity, while ensuring a certain safety quality, improving passenger comfort is the direction of the goal pursuit, which is also the principle behind the formula design. When the service level weight value of a certain flight or route is increased under satisfied conditions, it can help to more efficiently utilize existing facilities and resources, thereby improving the overall service efficiency and customer favorability.

[0116] Next, with reference to Figure 5 , the service priority of each escalator passenger car of the present invention is evaluated based on the working load of each escalator passenger car, including the following steps:

[0117] S501: Collect the number of completed services SC_i of all escalator cars i in the past time period; this step refers to obtaining the historical records of all escalator passenger cars from the system database or other data storage facilities, and focusing on recording the frequency or number of times each car has successfully provided services in the past time cycle. This frequency data can be in hours, days, or a count within a specific activity period; it reflects the busyness of each elevator in the past period of time.

[0118] S502: Statistically calculate the total importance level SG_i of the flights served by each escalator passenger car during this period; this step is to measure and accumulate all the services or flight levels supported by the vehicle within the same time interval. Different levels of flights correspond to different degrees of importance, which may be distinguished according to criteria such as the impact of delays or the number of VIPs. The total importance level is calculated by addition to reflect the service difficulty or service quality requirements.

[0119] S503: Obtain the satisfaction score SF_i given by passengers after each service is completed; the satisfaction evaluation is a numerical value collected in the form of immediate feedback provided by passengers after each elevator completes the pick-up and drop-off of passengers. It not only reflects the effect of the service but also directly reflects the user experience, and can be used to quantify the changes in customer satisfaction. The scoring standard is generally in the form of a full score of 5 or a ten-point system, etc.

[0120] S504: The escalator car priority under the influence of workload is evaluated using the weight formula (W_SC × SC_i + SG_i) / SF_i. Here, W_SC represents the proportional weight of the number of completed services in the priority calculation (a real value between 0 and 1), usually set as a positive fraction close to 0.5, such as 0.6 or 0.4, to emphasize this attribute. SC_i is the record of the actual working quantity of escalator car i (a non-negative integer value), which represents the level of task intensity or activity. And SG_i represents an evaluation of the overall weighted sum of the service levels received (a non-zero value and usually positive), which can reflect the value or complexity level of the work undertaken by the escalator. The larger the value, the more difficult the task. The higher the value of SF_i (a non-zero positive number), the higher the service quality. In the formula design, the superposition of the first two items (reflecting the importance consideration of task quantity and difficulty level) is averaged or proportionally adjusted based on the third item (reflecting the relationship consideration and trade-off balance between efficiency and quality), thereby calculating the relative position ranking of each escalator car in its working environment.

[0121] In one embodiment, for example, during a large conference at a certain international airport, five elevator devices with different numbers, A - D, were dispatched. Through one-week data monitoring and analysis, it was found that elevator A provided more than 200 trips, served several important delegations, and thus received a support score of 53 high-level shifts. At the same time, its average satisfaction score was 80%. While elevator B only completed half of the task volume, 117 times, but received a 91% favorable comment rate. When calculating according to the formula, assuming the weight of the task volume W_SC = 0.7, substituting it in, the comprehensive indicators of the two elevators are 1.1143 and 0.8807 respectively. Then it is concluded that at this time, elevator A is prior to the latter as the selection object for the main work dispatch arrangement, and is used as a reference in application scenarios such as recommended dispatch management decision support. The design idea of this algorithm is to enable managers to make scientific and effective work arrangements based on the actual work intensity distribution and quality level differences. This can better improve the elevator work efficiency and optimize the overall travel experience of passengers.

[0122] Next, the further service priority order SP obtained according to the above various weightings of the present invention is described.

[0123] For any escalator passenger car flight, the service priority order SP_i is determined by multiplying the comprehensive evaluation C_e by the correction factor F_m. The comprehensive evaluation C_e is given by flight Pj, the number of congestion times at the boarding gate N_T, and the vehicle load W_SC. The correction factor F_m is obtained by considering the average speed V and the influence of service time. If (SP_i = SP_j) & (F_m_j ≠ F_m_i), the specific steps of selecting the escalator car with a larger F_m for priority service to reduce the queuing pressure.

[0124] First, list the steps. For each boarding bridge vehicle for each flight, first, we need to evaluate and obtain data on three important attributes of each boarding bridge vehicle, namely the information of the current corresponding flight (Pj), the congestion times or frequency in the boarding gate area (N_T), and the actual load status of the boarding bridge vehicle itself (W_SC); this data is obtained based on the real-time monitoring system and constitutes part of the comprehensive evaluation. C_e is a score that quantifies the flight priority, congestion level, and service capacity.

[0125] Subsequently, a correction factor F_m is introduced to refine this priority judgment criterion. The correction factor F_m reflects the actual efficiency of the service and depends on the operating state of the boarding bridge vehicle, such as the average level of the current V and the time required to complete a full service; this is intended to balance the relationship between speed and service timeliness and adjust the overall service process to improve efficiency; during the setting process, the average speed and time are obtained by statistically analyzing past data and considering the actual situation, and are generally optimized under reasonable operating conditions.

[0126] In one embodiment, the airport dispatching department needs to select boarding bridge vehicle services for two international flights with approaching arrival times but at different boarding gates. The boarding gates for Flight A and Flight B are separated by a certain distance and each requires a boarding bridge vehicle to provide service; at this time, it is assumed that the boarding bridge vehicle for Flight A has a small load, a low congestion level at the boarding gate, and can reach the target boarding gate quickly to complete the docking work; on the other hand, for Flight B, the situation is the opposite: although it also urgently needs to arrive, it is restricted by various reasons and difficult to effectively execute the task. At this time, through the comprehensive scoring mechanism, it can be clearly seen which one is more urgent, and the introduction of F_m further ensures that even when the comprehensive scores (C_e) are similar or the same, a more reasonable allocation can still be made.

[0127] In addition, considering the diverse actual environmental factors in airport operations, in the formula construction, the comprehensive evaluation coefficient C_e and the speed-time adjustment term (F_m) are assigned corresponding values to represent their respective weights, in order to achieve a more balanced result; among them, C_e reflects the key degree and difficulty coefficient of the current task, and generally has a positive value. The larger the value, the more attention is usually required. The ideal highest score means the highest level of attention; while the correction factor is a number that can be adjusted flexibly according to different situations and can be a decimal less than or equal to 2, used to adjust the focus at different stages to ensure the smooth execution of the final plan. The purpose of such setting is to ensure that even in the face of various uncertain events, the diverse needs of flights and passengers can be maximally met.

[0128] An automatic escalator passenger elevator car control method for aviation of the present invention includes: First, obtain the actual arrival time of each flight and the location information of the boarding gate through an automated system to provide an accurate basis for scheduling decisions; Second, use a prediction algorithm to estimate the possible simultaneous service demands of multiple flights, and at the same time monitor the existing task allocation to timely identify any potential task allocation conflict situations that may cause service delays; Next, accurately calculate the priority ranking of the services required by each automatic escalator passenger elevator car based on the obtained real-time dynamic data of the flights and the analyzed historical traffic flow data; The last step is to dynamically adjust the scheduling order after determining the service priorities of each passenger elevator car, to ensure that each vehicle is optimally used to meet high-priority service requests to the greatest extent, and can effectively avoid problems such as congestion and reduced service efficiency caused by multiple flights requiring the same resource at the same time point. This scheduling technology can ensure quick response and reduce passenger waiting time even during peak periods when flights arrive intensively, thereby improving the coordination and smoothness of the operation of the entire airport facility, and solving the problem of resource allocation tension caused by surging demand and the subsequent risk of flight delays.

[0129] The above is the preferred implementation manner of the present application. It should be noted that for those of ordinary skill in the art of the present technology, without departing from the principle described in the present invention, several improvements and refinements can be made, and these improvements and refinements should also be regarded as the protection scope of the present application.

Claims

1. An adjustment and control method for an escalator passenger lift vehicle used in aviation, characterized in that, Including: Obtain the actual arrival time and boarding gate location information of each flight; Predict the simultaneous service demands of multiple flights and identify potential task allocation conflict situations; Calculate the service priorities of each escalator and passenger elevator truck based on real-time flight dynamics and historical traffic flow data; specifically, comprehensively evaluate the service priorities of each escalator and passenger elevator truck based on the importance of the flight, the current congestion situation at the boarding gate, and the workload of each escalator and passenger elevator truck; Adjust the task allocation plan of the escalator and passenger elevator truck according to the calculated priorities; It also includes obtaining the overall efficiency improvement degree through the total waiting time WT, the average passenger passing time TP, and the workload Load of the escalator equipment, including: Obtain the expected standard efficiency E according to historical data; Estimate the overall scheduling performance in the current situation using statistical methods; Examine the scheduling results of each batch and mark the changes that exceed the predetermined time limit Ld for in-depth analysis; If the overall efficiency improvement degree TE = (WT / WTold) × (1 + TP / TPnew) × SQRT(Loadavg / max_Load) ≥ E, then confirm the improvement of this algorithm. Here, WT represents the overall waiting cycle, WTold represents the old waiting time, TP represents the benchmark of the passenger passing duration, TPnew is the new value after the improved plan, Loadavg is the average load in the recent batches of tasks, and max_Load is the maximum load-bearing condition under a single task.

2. The control method of an escalator passenger elevator vehicle for aviation according to claim 1, wherein, The steps of calculating the service priorities of each escalator and passenger elevator truck based on real-time flight dynamics and historical traffic flow data specifically include: Calculate the service importance factor Si of each flight in the current time period based on the actual arrival time of each flight at the current moment obtained in real time and the arrival density of each flight in the historical same period; Calculate the distance Di,j to each flight's boarding gate according to the boarding gate location information; Consider the current task status and location of each escalator and passenger elevator truck to calculate the service capacity factor Pi; Obtain the service priority Pij = Si×Pi / Di,j, where Si represents the service importance factor of the i-th flight, Di,j represents the shortest straight-line distance from the escalator and passenger elevator truck j to the boarding gate of the i-th flight, and Pi represents the current service capacity factor of the escalator and passenger elevator truck j.

3. A control method for an escalator passenger lift vehicle for aviation according to claim 2, characterized in that, Before obtaining the service priority by comprehensively considering various factors, the method further includes: Compare the actual arrival time obtained in real time with the standard arrival time; When the actual arrival time is earlier or delayed by more than the threshold time Dd than the expected time, trigger the special service priority adjustment flag flagS; Immediately start the service priority reordering mechanism to update the service priority order of all on-site passenger elevator trucks.

4. A method for controlling an escalator passenger elevator vehicle for aviation according to claim 3, characterized in that, After calculating the service priority obtained by comprehensively considering various factors, it also includes the steps of the adjustment mechanism, specifically including: Reorder based on the updated priority values; Record the newly allocated task plan of each escalator and passenger elevator truck; Evaluate the impact of the scheduling change on the total scheduling duration according to the adjusted priority level; If the impact exceeds the preset tolerance threshold, return for further analysis and optimization, otherwise continue according to the new plan.

5. A method for controlling an escalator passenger elevator vehicle for aviation according to claim 4, characterized in that, After comparing the set delay threshold with the actual delay time, the following steps are also included: Adjust the standby or service status of each escalator passenger elevator vehicle based on the currently calculated priority; Check the task queue of each escalator passenger elevator vehicle to ensure the continuity and smoothness of tasks; Monitor the system feedback information to confirm the on-site operation status after the priority allocation adjustment, including the current positions and service status of each vehicle; When verifying the adjustment effect, consider the total waiting time and vehicle turnover rate as the verification benchmarks. If the actual efficiency reaches the set standard, confirm that the optimization is effective; otherwise, further adjust individual parameters until the set standard is reached or exceeded.

6. The control method of an escalator passenger elevator vehicle for aviation according to claim 1, wherein, The steps of calculating the service priority of each escalator passenger elevator vehicle based on real-time flight dynamics and historical traffic flow data also include: Obtain the status information of the escalator passenger elevator vehicle, where the status information includes the working status and power information; Obtain real-time flight dynamic information, where the information includes the flight number, estimated arrival time, and the distance information from the boarding gate to the current position of the escalator vehicle; Obtain historical traffic flow data, which includes the statistical data of past traffic flow in different time periods.

7. A method for controlling an escalator passenger lift truck for aviation according to claim 6, characterized in that, The assessment based on the importance of the flight includes: Determine the flight level Pj; Analyze the passenger flow Mj during this time period and the average passenger waiting time wj during this period; Evaluate the comprehensive score according to Pj × Mj / wj, where the parameter Pj represents the flight grade coefficient, Mj represents the passenger flow of the flight during the current period, and wj represents the average passenger waiting time.

8. A control method for an escalator passenger lift vehicle for aviation according to claim 7, characterized in that, The assessment based on the current congestion situation at the boarding gate specifically includes the following steps: Obtain the total number of congestion times N_T_j at the boarding gate during the current time period T; Calculate the average passing time A_T within T; Obtain the average passenger moving speed V; If N_T_j > 0 and A_T × V < S, the service priority weight of this flight needs to be increased, where S is the distance from the security check to the boarding gate.

9. A control method for an escalator passenger lift truck for aviation according to claim 8, characterized in that, The assessment of the service priority of each escalator passenger elevator vehicle based on the workload of each escalator passenger elevator vehicle includes: Collect the number of completed service times SC_i of all escalator vehicles i in the past time period; Statistically calculate the total sum SG_i of the important levels of the flights served by each escalator passenger elevator vehicle during this period; Obtain the satisfaction score SF_i given by passengers after each service is completed; Use the weight formula (W_SC × SC_i + SG_i) / SF_i to evaluate the priority of the escalator vehicle under the influence of the workload, where W_SC represents the proportional weight of the number of completed service times in the priority calculation.

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