Aviation escalator passenger ladder vehicle regulation and control method

Abstract

The embodiment of the invention provides a passenger elevator and vehicle regulation and control method for an aviation escalator. The method comprises the steps that the actual arrival time and boarding gate position information of all flights are obtained; predicting simultaneous service requirements of a plurality of flights, and identifying potential task allocation conflicts; based on real-time flight dynamics and historical traffic flow data, analyzing and calculating service priorities of passenger elevators and cars of the escalators; and according to the calculated priorities, adjusting a task allocation plan of the passenger cars of the escalator so as to avoid conflicts caused by simultaneous demand service of multiple flights and improve the scheduling efficiency. Through the scheme of the embodiment of the invention, the problem of task allocation conflict caused by simultaneous demand service of multiple flights in the passenger elevator scheduling of the aviation escalator can be solved.

Description

Technical Field

[0001] The present application relates to aviation ground equipment dispatching technology, and in particular to a method for dispatching an escalator passenger elevator vehicle for aviation. Background Art

[0002] The scheduling of automatic escalators and passenger elevators 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 automatic escalators or passenger elevators efficiently and quickly. However, there are still significant challenges in implementing the control method, especially during peak hours, when multiple flights need the services of automatic escalators or passenger elevators at almost the same time, which will lead to conflicts in task allocation. In this case, how to ensure that all flights can get on and off passengers in a timely manner while avoiding waste of resources and reducing passenger waiting time have become key problems. Summary of the invention

[0003] In view of this, an embodiment of the present disclosure provides a method for controlling an aviation escalator passenger car, which at least partially solves the problems existing in the prior art.

[0004] The present invention provides a method for controlling an aviation escalator passenger car, comprising: Get the actual arrival time and gate location information of each flight; Forecast simultaneous service demands for multiple flights and identify potential conflicting mission assignments; Calculate the service priority of each escalator passenger elevator based on real-time flight dynamics and historical traffic flow data analysis; The task allocation plan of the escalator passenger elevator car is adjusted according to the calculated priority.

[0005] In a specific implementation, the step of calculating the service priority of each escalator passenger elevator car based on real-time flight dynamics and historical traffic flow data analysis specifically includes: 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 same period in history; Calculate the distance Di,j between the boarding gates of each flight according to the boarding gate location information; Considering the current task status and location of each escalator passenger elevator car, the service capacity factor Pi is calculated; The service priority Pij = Si × Pi / Di,j is obtained, where Si represents the service importance factor of flight i, Di,j represents the shortest straight-line distance from escalator car j to the boarding gate of flight i, and Pi represents the current service capacity factor of escalator car j.

[0006] In a specific implementation, 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 than the expected time or delayed by more than the threshold time Dd, triggering the special service priority adjustment flag flagS; Immediately initiate the service priority reordering mechanism to update the service priority of all on-site passenger elevators.

[0007] In a specific implementation, after calculating the service priority obtained by integrating various factors, a step of adjusting the mechanism is also included, specifically including: Re-order based on updated priority values; Record the newly assigned task plan for each escalator passenger elevator car; Evaluate the impact of the scheduling changes on the total scheduling duration against the adjusted priorities; If the impact exceeds the preset tolerance threshold, return to further analyze the optimization, otherwise continue with the new plan.

[0008] In a specific implementation, after setting the delay threshold and comparing the actual delay time, the following steps are further included: Adjusting the standby or service status of each escalator passenger elevator car based on the currently calculated priority level; Check the task queue of each escalator passenger elevator car to ensure the continuity and smoothness of the task; The monitoring system feedback information confirms the on-site operation status after the priority allocation adjustment, including the current location and service status of each vehicle; When verifying the adjustment effect, the total waiting time and vehicle turnover rate are considered as the verification benchmark. If the actual efficiency reaches the set standard, the optimization is confirmed to be effective. Otherwise, individual parameters are further adjusted until they reach or exceed the set standard.

[0009] 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: Obtain the expected standard efficiency E based on historical data; Use statistical methods to estimate the overall dispatch performance in the current situation; Check the batch scheduling results and mark the changes that exceed the predetermined period Ld for further analysis; If TE = (WT / WTold) × (1 + TP / TPnew) × SQRT(Loadavg / max_Load) ≥ E, then confirm the improvement of this algorithm. Here, WT represents the overall waiting period, WTold represents the old waiting time, TP represents the benchmark of the passenger passing time, 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.

[0010] In a specific embodiment, the steps of calculating the service priority of each escalator and passenger elevator based on real-time flight dynamics and historical traffic flow data are specifically as follows: Obtain the status information of the escalator and passenger elevator, where the status information includes the working status and power information; Obtain real-time flight dynamic information, where the information includes the flight number, the estimated arrival time, and the distance information from the boarding gate to the current position of the escalator car; Obtain historical traffic flow data, which includes the statistical data of the past traffic flow in different time periods; Comprehensively evaluate the service priority of each escalator and passenger elevator based on the importance of the flight, the congestion situation at the current boarding gate, and the working load of each escalator and passenger elevator.

[0011] In a specific embodiment, the evaluation 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 level coefficient, Mj represents the passenger flow of the flight during the current period, and wj represents the average passenger waiting time.

[0012] In a specific embodiment, the evaluation based on the congestion situation at the current 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.

[0013] In a specific embodiment, the evaluation of the service priority of each escalator and passenger elevator based on the working load of each escalator and passenger elevator includes: Collect the number of completed services SC_i of all escalator cars i in the past time period; Count the total importance level SG_i of the flights served by each escalator passenger elevator during this period; Get the satisfaction score SF_i given by passengers after each service is completed; The weight formula (W_SC × SC_i + SG_i) / SF_i is used to assess the escalator car priority under the influence of workload, where W_SC represents the proportional weight of the number of completed services in the priority calculation.

[0014] The disclosed embodiment provides a method for regulating automatic escalator passenger elevators for aviation, including: obtaining the actual arrival time and gate location information of each flight; predicting the simultaneous service requirements of multiple flights and identifying potential task allocation conflicts; calculating the service priority of each automatic escalator passenger elevator based on real-time flight dynamics and historical traffic flow data analysis; adjusting the task allocation plan of the automatic escalator passenger elevator according to the calculated priority to avoid conflicts caused by multiple flights demanding services at the same time and improve scheduling efficiency. The solution of the disclosed embodiment can solve the problem of task allocation conflicts caused by multiple flights demanding services at the same time in the scheduling of automatic escalator passenger elevators for aviation. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In the accompanying drawings, unless otherwise specified, the same reference numerals throughout the multiple drawings represent the same or similar parts or elements. These drawings are not necessarily drawn to scale. It should be understood that these drawings only depict some embodiments disclosed in the present application and should not be regarded as limiting the scope of the present application.

[0016] Figure 1 The present invention is a flow chart of a method for controlling an automatic escalator passenger elevator car for aviation; Figure 2 It is a flowchart that calculates the service priority of each escalator passenger elevator car based on real-time flight dynamics and historical traffic flow data analysis; Figure 3 It is a flow chart to obtain the overall efficiency improvement degree through the total waiting time WT, the average passenger passing time TP and the escalator equipment workload Load; Figure 4 It is a flowchart that calculates the service priority of each escalator passenger elevator car based on real-time flight dynamics and historical traffic flow data analysis; Figure 5 The present invention is a flow chart for evaluating the service priority of each escalator passenger elevator car based on the workload of each escalator passenger elevator car. DETAILED DESCRIPTION

[0017] In the following, only some exemplary embodiments are briefly described. As those skilled in the art will appreciate, the described embodiments may be modified in various ways without departing from the spirit or scope of the present application. Therefore, the drawings and descriptions are considered to be exemplary and non-restrictive in nature.

[0018] Next, referring to the accompanying drawings, a method for controlling an automatic escalator passenger elevator vehicle for aviation of the present invention is described. This method is mainly used to solve the task allocation conflict problem caused by the simultaneous service requirements of multiple flights in the scheduling of automatic escalator passenger elevator vehicles for aviation, and improve the working efficiency and operation smoothness of airport ground support equipment.

[0019] like Figure 1 As shown, the aviation escalator passenger elevator car control method of the present invention includes: S101: Get the actual arrival time and gate location information of each flight; this step is based on the arrival time and estimated docking schedule published in the airline system, and uses the real-time data update function of the airport flight display system to monitor the specific arrival time and docking gate of these flights, so as to accurately predict and respond to any possible changes, making the escalator car scheduling decision more accurate and effective. This includes tracking and recording the information of all flights that are about to land.

[0020] S102: Predict the simultaneous service needs of multiple flights and identify potential conflicts in task allocation. Based on the actual arrival time obtained above, predict which time periods will have multiple flights that need to be served at the same time. For example, in a specific case, if two or three flights arrive at three adjacent arrival areas at almost the same time or within a short interval, it is considered that this will cause great pressure on the escalator vehicle service and may not be able to meet the needs of passengers for rapid evacuation. This stage also takes into account factors such as the different number of escalator vehicles required for different aircraft models.

[0021] The next step is to identify potential risks, that is, to analyze whether there is a possibility of congestion or resource overlap when assigning tasks. For example, if a large passenger aircraft can accommodate more than 500 passengers, it will inevitably have higher transportation requirements when disembarking passengers. A sufficient number of standard ladders of the same type must be reserved in advance to ensure rapid turnover and avoid congestion; otherwise, only small models may need to be mobilized for support.

[0022] S103: Calculate the service priority of each escalator passenger elevator vehicle based on real-time flight dynamics and historical traffic flow data analysis. Combine the above-collected dynamic information with the actual working speed of this type of vehicle in similar situations in the past and the accumulated experience data to make a comprehensive judgment, and formulate a different priority level sequence list for each vehicle that can provide docking facilities as the basis for the next adjustment. For example, from the statistical data of the number of inbound flights between E88-F99 returning from Europe to the gates of Island C in the West Second District of Pudong Hub from 18:30 to 22:00 every Friday evening in the past five years and the average time each vehicle stays during the mission, it can be seen that there will be a significant peak in passenger flow in the few days before holidays. At this time, those crews with relatively stable performance and no recent maintenance history should be arranged to participate in this operation to reduce the possibility of delays. At the same time, a temporary version of the position sequence diagram is prepared for the flight formation after 17:45 on the upcoming Thursday afternoon and before 6:25 on the next morning for reference and implementation by relevant personnel; S104: Adjust the task allocation plan of the escalator passenger elevator car according to the calculated priority. The last item is to guide the deployment of the actual command and dispatch 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 complex situations, so as to achieve a more orderly and efficient operation mechanism; in addition, it is necessary to pay attention to any new unexpected intelligence adjustment plans at any time; if the aforementioned entry roulette is delayed due to some objective reasons and the original plan is affected, an emergency response must be made immediately to change the existing sequence arrangement order; for example, the small spare unit that is preparing to welcome the next passenger to leave the shore can be urgently transferred to take over the shift. In this way, not only can the challenges of sudden changes in environmental conditions be properly responded to, but also the rights and interests of passengers can be protected, so that each ride can be carried out smoothly without hindrance, and the overall service level of the airport can be improved. For example, if three passenger planes are expected to land at the same time within 10 minutes on a certain night, in order to avoid congestion and delays caused by resource competition, the dispatcher will arrange the escalator buses corresponding to the higher priority flights in advance; if a flight is delayed and the arrival time is delayed but it is still within the peak period, the effective operation cycle of a series of devices that have been put on standby on site can be extended in time without having to exit the task state too early. In this case, the task allocation of the escalator bus will be flexibly adjusted according to the latest actual conditions, so that limited resources can be effectively utilized to the greatest extent to meet the basic desire of passengers for timely and convenient transfer.

[0023] Next, refer to Figure 2 , describing the specific steps of the present invention for calculating the service priority of each escalator passenger elevator car based on real-time flight dynamics and historical traffic flow data analysis.

[0024] S201: 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 same period in history. This step starts with calculating the service importance factor of each current flight, obtaining the actual arrival information of each flight at the current moment in real time, and combining the historical traffic data in a specific time period (for example, the frequency of arrival of each route during the period from 6 am to 10 am), so that each flight waiting to be processed can be assigned a value to reflect its importance. The range of 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, because it is the peak period of international flights and flight XY-1006 arrives early on the day, its service importance factor is determined to be 7.4.

[0025] S202: Calculate the distance Di,j between the boarding gates of each flight based on the boarding gate location information. Then, based on the specific geographical location information of all flight boarding gates obtained, the shortest distance between any flight and all other flight boarding gates can be calculated. This process is crucial because it directly affects the efficiency of passenger elevator scheduling - the shuttle bus closer to the destination should first serve the flights closer to it. For example, in a specific environment, flights XY-1006 and XY-801 are waiting for escalator passenger elevator service in two different terminal boarding areas. After calculation, it is found that the boarding gate where XY-1006 is located is 300 meters away from the nearest idle passenger elevator that can be scheduled (as an example, Di,j is the distance between the boarding gates of flights i and j).

[0026] S203: Calculate the service capacity factor Pi by considering the current task status and location of each escalator passenger elevator vehicle. Next, consider the current load and status of the escalator passenger elevator vehicle itself, as well as its current location (such as being idle, performing other pick-up and drop-off work, or on the way to another flight boarding gate) to estimate the capacity index of each passenger elevator vehicle. This indicator can show the vehicle's ability to quickly respond to and process service requests. The range can be set to 1-5, and the larger the number, the higher the efficiency and the more idle. For example, when an escalator passenger elevator vehicle completes the previous task and is moving to 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 new tasks, and its current location is relatively flexible, and it can quickly adjust its route as needed to support needs in any direction.

[0027] S204: Obtain 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 escalator passenger elevator car j to the boarding gate of flight i, and Pi represents the current service capacity factor of escalator passenger elevator car j. Finally, the data obtained from the previous three calculations - the urgency of the service demand of the current flight (e.g., 7.4), the distance between 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 availability of escalator passenger elevator cars (here the value is assumed to be 4, which is an efficiency score evaluated based on actual conditions) are combined 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 elevator car j in service scheduling decisions.

[0028] The reason for setting up this formula is that, on the one hand, the service importance factor Si is used to ensure that flights can be handled first in emergency situations. On the other hand, the inverse relationship of the distance is used to make escalator vehicles that are closer to the flight and in good preparation condition have a better chance of being dispatched first. The service efficiency index Pi is used to ensure that reasonable arrangements are made only under practical conditions, and ultimately the entire system is able to minimize passenger waiting time and improve overall service quality under the premise of efficient operation. In summary, this algorithm can optimize the configuration of escalator passenger elevators while meeting the immediate requirements of different flights.

[0029] Next, the steps of the present invention before obtaining the service priority by integrating various factors are described.

[0030] Specifically, in the present invention, based on the comparison result between the actual arrival time actually obtained and the preset standard arrival time, when the actual arrival time is earlier than the expected time or delayed by more than the specified time, the system will trigger the priority adjustment mark of the special service, and then the system will start the passenger elevator priority service authority update mechanism and synchronously correct all service sorts and set a certain delay time threshold to evaluate the flight delay situation and determine the priority adjustment label status accordingly.

[0031] The comparison between the actual arrival time and the standard arrival time refers to the real-time actual flight arrival data obtained by the system from the airline and the comparison and analysis with the pre-defined arrival time stored in the system, so as to understand whether the flight is executed according to the plan, ahead of schedule or delayed. This real-time flight data collection and analysis ensures that the passenger elevator service can be flexibly scheduled according to the latest changes, avoiding unnecessary waiting and resource mismatch.

[0032] If the actual measurement shows that the arrival time is more than 15 minutes earlier or later than the forecast, a mechanism called a special priority sign will be activated to warn and indicate that the service sequence needs to be adjusted. The 15-minute setting is to balance efficiency and passenger experience - it is a reasonable threshold value set based on multiple factors that may cause short-term changes, such as traffic conditions and airport processing capacity. It is neither too strict to cause frequent changes nor too wide to cause emergency processing delays and failures.

[0033] Upon detecting a large deviation in travel time exceeding 15 standard deviations, the system automatically enables passenger elevator priority re-ordering. This procedure ensures the most efficient deployment of existing equipment and timely adaptation to sudden changes. It also dynamically optimizes service priorities to minimize the waiting time of stranded passengers and improve the overall process smoothness.

[0034] 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.

[0035] 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.

[0036] 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.

[0037] 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.

[0038] After executing the updated elevator tasks, it is also necessary to consider whether the new scheduling plan will bring negative consequences when it is actually implemented, such as whether it will extend the waiting time of some passengers or reduce overall efficiency. For example, before the elevators were reordered, 300 disembarking passengers on a flight were expected to wait for five minutes before reaching the boarding gate, but through optimization and adjustment, the overall time was reduced to less than four minutes or remained unchanged or even better. If, after comparison, it is found that the result of the reallocation has caused the completion of some tasks to decline, and the proportion of this decline exceeds the preset tolerance threshold (such as the proportion of the original expected efficiency improvement exceeding -2%, which is the best setting selected based on cost-benefit analysis during the experiment), it will be fed back to the upper-level control unit for further research and improvement to prevent adverse effects from affecting 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 shows that the changes made help achieve more effective operating results.

[0039] Next, the present invention is described as including the following steps after setting the delay threshold and comparing the actual delay time: adjusting the standby or service status of each escalator passenger elevator car based on the currently calculated priority level; performing checks on the task queues of each escalator passenger elevator car to ensure the continuity and smoothness of the tasks; monitoring the system feedback information to confirm the on-site operating status after the priority allocation adjustment, including the current position and service status 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 confirming that the optimization is effective, otherwise further adjusting individual parameters until the S0 standard is reached or exceeded.

[0040] First, based on the priority calculation results of each escalator passenger elevator car, the system adjusts the service and standby mode of each elevator in real time through software algorithms. For example, if an elevator is in a position with more passengers, the system will adjust its status to continuous operation rather than standby; the next step is to periodically check the task execution queue. The purpose of this step is to ensure that each passenger elevator car has sufficient free time to accept the next task to avoid inconvenience to passengers caused by long waiting times; then there is an effective monitoring link for the adjustment results. The system collects the location data of each escalator passenger elevator car and its operating status in real time. Once an abnormality occurs, such as the elevator fails to reach the preset station on time, it will immediately alarm to remind the staff to deal with the problem.

[0041] In one embodiment, considering the busiest period of the day (6:30 a.m. to 9:30 a.m.) at Beijing Capital International Airport, the elevator control system calculates the busy index of each elevator based on the passenger volume prediction model. During this period, the elevator will adjust its working mode from standby mode to high load mode, and beyond this, it may automatically drop back to low load or shutdown mode.

[0042] In order to verify the effect of the adjustment, two important variables are introduced - total waiting time and vehicle turnover rate as two key points of evaluation, and the 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 and the time to reach the destination required by passengers when calling the elevator. Ideally, the smaller this number is, the better, which means that the operation of the system is more in line with actual needs, improving the logistics turnover efficiency within the airport, and thus improving 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 efficiency, 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 it is necessary to make detailed adjustments to individual factors again until the standard is met.

[0043] Through the above process, we can see that scientific means can effectively improve the level of automation and solve the congestion faced by large transportation hubs.

[0044] Next, refer to Figure 3 , describing the present invention for the total waiting time WT, average passenger passing time TP and escalator equipment workload Load three variables to obtain the overall efficiency improvement degree TE, as follows: S301: Obtaining expected standard efficiency E based on historical data: This step first reviews past performance data to set the baseline efficiency, which is to determine the expected performance standard E of the automated escalator or passenger elevator under ideal conditions. It is calculated based on statistics and experience accumulation from previous operations under given specific conditions such as peak traffic periods or holidays.

[0045] S302: Use statistical methods to estimate the overall scheduling performance under the current situation; at this stage, by collecting actual information on system operation under existing conditions (including but not limited to time and equipment load), appropriate data statistical means are used to evaluate the actual performance level and compare it with the aforementioned historical standards.

[0046] S303: Check the scheduling results of each batch, and mark the changes that exceed the scheduled period Ld (for example, Ld=5%) for in-depth analysis; this step is to conduct a detailed check on the above statistical results, find out all the reasons for not meeting the original target, and record them to leave a basis for further research and improvement. Usually, a tolerance interval is set. When an abnormal change exceeds the tolerance value, it is considered that there is a potential problem that deserves attention and follow-up.

[0047] S304: Use the total improvement 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 baseline for the length of time for passengers to pass through, TPnew is the new value after the improvement plan, Loadavg takes the average load in the most recent batches of tasks, max_Load is the maximum loadable condition under a single task, and SQRT is the square root symbol in the mathematical expression. If TE ≥ E, it means that the algorithm improvement is confirmed. This formula evaluates whether the changes brought about by the introduction of the new algorithm can significantly improve the overall performance by comprehensively considering three key factors. For example, the WT / WTold part emphasizes the importance of reducing the waiting time to improve efficiency, because the customer experience is directly affected and directly affects the turnover speed of operations and the efficiency of processing. TPnew has a significant improvement step compared to the baseline, which means that the resources required for a single entity to pass through the facility are reduced or the path becomes more optimized and reasonable, thus bringing positive contributions.

[0048] The parameter WT represents the overall waiting time, and WTold represents the amount of time before the improvement. Both are in time units, which can be seconds or minutes; TP is the time it takes for a single pedestrian to move, and TPnew reflects the change in this time after the application of new technologies. They should be within the same time length and have relativity to ensure fair evaluation and comparison; the last sub-item Loadavg is based on the average burden level faced by the equipment based on several batches of operations over a period of time. The maximum tolerance limit is called max_Load, which is used to define the system design capacity boundary. In an ideal state, the Loadavg / max_Load ratio should be close to zero, that is, the actual pressure is far from the upper limit to be considered a safe and healthy operating indicator. Such an evaluation method is set up to ensure that the service level and operational efficiency level are improved while ensuring safety and stability.

[0049] In one embodiment, when the new scheduling algorithm is applied to the large terminal hall of an international airport to speed up the passage of departing passengers to the boarding gate or entry channel, after a trial operation lasting about one month, sufficient comparative data samples were collected for scientific calculation and analysis, and it was found that the average waiting queue time before and after the improvement decreased by 20%, the passing speed increased by 5%, and the system operating load decreased by 10%. These changing factors were quantified into mathematical expressions, that is, formulas were calculated to obtain a comprehensive indicator showing that the efficiency was improved by 28%, exceeding the original expected setting of 20%. This shows that the use of this updated algorithm solution can achieve the purpose of significant efficiency improvement. Therefore, it can be decided to fully promote the deployment of the 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.

[0050] Next, refer to Figure 4 , describes another embodiment of the present invention, an aviation escalator passenger elevator control method, the method is used to use an aviation escalator passenger elevator to transport passengers from a boarding gate to an aircraft for boarding, wherein the steps of calculating the service priority of each escalator passenger elevator based on real-time flight dynamics and historical traffic flow data analysis are specifically: S401: Acquire status information of an escalator passenger elevator car, wherein the status information includes working status and power information; S402: Acquire real-time flight dynamic information, wherein the information includes flight number, estimated arrival time, and distance information between the boarding gate and the current position of the escalator; S403: Acquire historical traffic flow data, which includes past traffic flow statistics in different time periods; S404: Comprehensively assessing the service priority of each escalator passenger elevator based on the importance of the flight, the current boarding gate congestion, and the workload of each escalator passenger elevator.

[0051] Obtaining status information for escalator or passenger elevator vehicles first involves identifying the current operating status of each escalator or passenger elevator vehicle and its remaining battery level. This information helps determine whether the vehicle is suitable for immediate service and how long it can continue to operate without recharging.

[0052] Information on real-time flight dynamics is data about predicting upcoming flight demand, specifically including information on aircraft expected to land or board and their time and spatial locations at various boarding gates within the airport, which is crucial for timely deployment of passenger elevators to prepare for passenger transfers.

[0053] Obtaining information about the dynamic records of passenger flow during past historical periods allows the dispatch system's algorithm to estimate and better adjust future resource arrangements by learning past traffic patterns to avoid the drawbacks of insufficient peak hours and waste during off-peak hours. Finally, based on the collected main flight attribute level definitions (such as: VIP charter flights or important flights), the current location of passenger flow density and the task burden status of each vehicle, it is determined which equipment should be dispatched and put into use first to achieve the most appropriate result between efficiency and customer needs.

[0054] In one embodiment, assume that there are currently three passenger elevator models that are all online and fully charged; then a notification will be received that flight number ABC0219 is expected to arrive at 2:55 pm and land at parking position No. 3; and based on previous experience, it is shown that there is a high flow of people to that place in this time zone, so the system should consider these situations to arrange tasks for each vehicle. This decision-making process may involve the use of an evaluation function F (I, C, W) to characterize the overall priority level of each vehicle V_i. The letter I in the formula marks the importance of the flight. The quality index range is set from zero to one. The larger the value, the more important it is. The best state is to reach the maximum point. C refers to the crowding coefficient at a certain location, which is defined in the interval [0,50], where a low value corresponds to a sparse environment and a high value indicates a crowded situation. At the same time, W indicates the degree of labor burden carried by a specific passenger elevator vehicle at the current time. In actual applications, its variation range is roughly [5,80].

[0055] In summary, this evaluation mechanism is designed to effectively integrate multiple variable factors from flight status and guide the automated control of passenger elevator vehicles to adapt to efficient and stable operations 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 to further enhance the flexibility of response when solving emergencies. At the same time, it also reduces unnecessary energy waste to a certain extent and improves the passenger service experience.

[0056] Next, the steps of the present invention are described to evaluate the importance of flights, including: determining the flight level Pj; analyzing the passenger flow Mj in the time period and the average passenger waiting time wj in the time period; wherein the higher the Pj, the higher the importance and the higher the service response required; both large Mj and long wj indicate high demand priority; evaluating the comprehensive score according to Pj × Mj / wj, wherein the parameter Pj represents the flight level coefficient, Mj represents the passenger flow of the flight in the current time period, and wj represents the average waiting time of the passengers.

[0057] First, during the escalator or passenger elevator dispatch process, the service response level of each flight needs to be assessed, which involves the step of determining the flight level Pj. Pj is a numerical value used to represent the requirements or expectations of a specific flight for the ground service level. Usually, flights are scored based on factors such as their type (the difference between commercial flights and domestic flights) and flight density; the higher the value, the more important the flight, and the more urgent and efficient the demand for corresponding ground services, so the priority is naturally higher.

[0058] Then, in the context of the application of the control method, the passenger flow and average waiting time are studied, that is, the passenger flow Mj in this time period and the average passenger waiting time wj in this period are analyzed. The factors to be considered here are whether the value of Mj is large, indicating that this time period may be at the airport peak period, and there are many passengers who need to board or leave; if the value of wj is too high, it means that the current airport equipment is not operating in time, resulting in too long waiting time. When these two scenarios occur, priority decisions need to be made in allocating resources.

[0059] Then, the Pj × Mj / wj formula is used to determine the weight value of the flight and obtain its importance score. The higher the Pj, the more important the flight is. The larger the Mj and the larger the wj value, the stronger the demand is and the more immediate the response is. The application of this formula is to comprehensively consider the three variables to determine the order of each flight in the scheduling. The significance of the formula setting is that priority will be given to high-value passenger flights with high traffic (many passengers) and long stays on site (long waiting time) or airlines with special requests / needs, so as to provide the most optimized service, ensure smooth overall operation and avoid customer dissatisfaction as much as possible. The formula takes positive values ​​(Pj, Mj, wj are all greater than zero), and the best result is the score with the largest value, indicating that the most urgent and most worthy of priority situation has occurred, and the dispatcher should give priority to allocating the corresponding transportation to its parking position.

[0060] In a specific scenario, such as when the takeoff and landing frequencies of international flights are relatively high, 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 model in a certain time period T is much greater than the conventional standard, then M1 will increase accordingly. Similarly, if the statistical average value w1 at time point T also exceeds the preset range (the normal waiting time + α% is used as the reference range, where α is the floating coefficient determined by each airport itself), then the overall score Z obtained after calculation is used. The personnel in the dispatching center select the one with the highest Z from among numerous standby queues (including but not limited to different flights corresponding to the above three types of parameters) as the first service target, completing a closed-loop of the entire dispatching process. In this case, the importance of the flight will be quantitatively measured by the score of Pj×Mj / wj, and the dispatching strategy will become more accurate, effective, and closer to the actual situation. By dynamically adjusting various factors, it can flexibly respond to various complex changing situations.

[0061] Next, the specific steps for evaluating based on the current congestion situation at the boarding gate of the present invention are described as follows: Obtain the total number of congestion times N_T_j at the boarding gate within the current time period T; calculate the average passing time A_T within T; obtain the average passenger movement 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.

[0062] Obtaining the total number of congestion times N_T_j at the boarding gate within the current time period T means monitoring the frequency of congestion occurrences during the boarding process within the specified time period. Here, the boarding time period usually refers to the time period from when the passengers arrive at the check-in area until the check-in is completed. During this process, data can be collected through sensors installed in the boarding gate area. The frequency of congestion occurrences at the boarding gate is an important indicator for measuring the crowded state, which directly affects whether the flight takes off on time and the service experience of the passengers.

[0063] Calculating the average passing time A_T within T means calculating the average time required for each passenger to pass from the security check to 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 entering and leaving the boarding gate area. By calculating, it can better understand the speed at which passengers flow through the key nodes, which helps to formulate reasonable service plans and dispatching schemes.

[0064] Obtaining the average passenger movement speed V refers to the estimated speed at which, on average, each passenger walks from the security check to the boarding gate during a specific boarding process. In some scenarios, it can be obtained through observation records or through the analysis of existing system data. 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.

[0065] When \(N_{T_j}>0\), it indicates that there is at least one case of passenger congestion during the \(T\) time period, and at the same time \(A_T\times V < S\). This situation indicates the existence of a congestion event, and the actual speed of passengers passing through security checks 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 on-time departure of flights) in the future, 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 additional time on average to complete the check-in procedures, 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.

[0066] Regarding the setting of these parameters, \(T\) is a dynamic range that 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 make more efficient use of existing facilities and resources, thereby improving the overall service efficiency and customer favorability.

[0067] Next, refer to Figure 5 , to describe the service priority situation of each escalator and passenger boarding bridge based on the workload of each escalator and passenger boarding bridge of the present invention, which includes the following steps: S501: Collect the number of service completions \(SC_i\) of all escalator cars \(i\) in the past time period; this step refers to obtaining the historical records of all escalators and passenger boarding bridges from the system database or other data storage facilities, and focusing on recording the frequency or number of times each vehicle successfully provided services in the past time period. This frequency data can be in hours, days, or quantity statistics during a specific activity period; it reflects the busyness of each elevator in the past period of time.

[0068] S502: Statistically sum up the importance levels \(SG_i\) of the flights served by each escalator and passenger boarding bridge during this period; this step is to measure and accumulate all 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 sum of importance levels is calculated by addition to reflect the service difficulty or service quality requirements.

[0069] S503: Obtain the satisfaction score SF_i given by the passengers after each service is completed; The satisfaction evaluation is a numerical representation collected in the form of instant 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. It 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 10-point system.

[0070] S504: The weight formula (W_SC × SC_i + SG_i) / SF_i is used to assess the priority of escalator vehicles under the influence of workload. W_SC represents the proportion of the number of completed services in the priority calculation (a real value between 0 and 1), which is usually set to a positive fraction close to 0.5, such as 0.6 or 0.4, to emphasize this attribute. SC_i is the actual number of work records of escalator vehicle i (a non-negative integer value), which represents the intensity or activity of the task; SG_i expresses an evaluation of the overall weighted sum of the service levels received (a non-zero value and usually a positive value), which can reflect the value of the work undertaken by the escalator or the degree of complexity. The larger the value, the more difficult the task; and the higher the value of SF_i (a non-zero positive number), the higher the service quality. The formula is designed by superimposing the first two (reflecting the importance of the number of tasks and the level of difficulty) and then making an average or proportional adjustment based on the third item (reflecting the relationship and compromise between efficiency and quality), thereby calculating the relative position ranking of each escalator vehicle in its working environment.

[0071] In one embodiment, for example, an international airport dispatched five elevators with different numbers during a large conference, AD. Through a week of data monitoring and analysis, it was found that machine A provided more than 200 trips, served several important delegations and received 53 high-level support scores. At the same time, its average satisfaction score was 80%, while machine B only completed half of the task volume, 117 times, but received 91% of the favorable comments. According to the formula, the weight of the task volume W_SC=0.7 is set, and the comprehensive indicators of the two machines are 1.1143 and 0.8807 respectively. It is concluded that machine A is preferred to the latter as the main work scheduling selection object for reference in application scenarios such as recommended scheduling 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 efficiency of elevator work and optimize the overall travel experience of passengers.

[0072] Next, the final service priority SP is obtained by further weighting the above items according to the present invention.

[0073] For any escalator passenger elevator car, the service priority SP_i is determined by the comprehensive evaluation C_e multiplied by the correction coefficient F_m. The comprehensive evaluation C_e is given by the flight Pj, the number of check-in gate congestion N_T, and the vehicle load W_SC; the correction factor F_m is obtained by considering the influence of V average speed and service time; if (SP_i = SP_j) & (F_m_j ≠ F_m_i), the specific steps of selecting the passenger elevator car with a larger F_m for priority service to reduce the queuing pressure.

[0074] First, let's list the steps. For each passenger elevator, we first need to evaluate and obtain data on three important attributes of each passenger elevator, namely the information of the current corresponding flight (Pj), the number or frequency of congestion in the boarding gate area (N_T), and the actual load condition of the passenger elevator itself (W_SC); these data are obtained based on the real-time monitoring system, and they constitute part of the comprehensive evaluation. C_e is a score that quantifies flight priority, congestion level, and service capacity.

[0075] Subsequently, a correction factor F_m was introduced to refine this priority judgment criterion. The correction factor F_m reflects the actual efficiency of the service, which depends on the operating status of the passenger elevator, such as the current average level of V and the time required to complete a complete service. This is intended to balance the relationship between speed and service timeliness, and adjust the overall service process to improve efficiency. In the setting process, the average speed and time are obtained by statistically analyzing past data and taking into account the actual situation, and are generally optimized under reasonable operating conditions.

[0076] In one embodiment, the airport dispatch department needs to select passenger elevator services for two international flights that are close to the arrival time but not at the same check-in gate. The boarding gates of flight A and flight B, which are a certain distance apart, each need an escalator passenger elevator to provide services; at this time, it is assumed that the passenger elevator of flight A has a smaller load, the boarding gate is less congested, and it can arrive at the target boarding gate quickly to complete the docking work; on the other hand, the situation is the opposite for flight B: although it is also in urgent need of arrival, it is restricted by many reasons and it is difficult to perform the task effectively. At this time, the comprehensive scoring mechanism can clearly see which one is more urgent, and the introduction of F_m further ensures that even if the comprehensive scores (C_e) are similar or the same, a more reasonable allocation can still be made.

[0077] In addition, considering the diverse changes in the actual environmental factors of airport operations, in the construction of the formula, the comprehensive evaluation coefficient C_e and the speed time adjustment item (F_m) are assigned corresponding values ​​to represent their respective weights, so as to achieve a more balanced result; among them, C_e reflects the criticality and difficulty coefficient of the current task, and the range is generally positive. The larger the value, the more attention it usually needs to be given. The ideal highest score means the highest level of attention; and the correction factor is a number that can be flexibly adjusted according to different situations. It can be a decimal less than or equal to 2, which is used to adjust the focus of different stages to ensure the smooth implementation of the final plan. The purpose of this setting is to ensure that even in the face of various uncertain events, the diverse needs of flights and passengers can be met to the greatest extent.

[0078] The present invention provides a method for regulating and controlling an automatic escalator passenger elevator car for aviation, including: firstly, obtaining 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; secondly, using a prediction algorithm to estimate the simultaneous service demands that may be generated by multiple flights, and monitoring the existing task allocation, so as to timely identify any potential task allocation conflicts that may cause service delays; next, accurately calculating the priority ranking of services required to be provided by each automatic escalator passenger elevator car based on the obtained real-time dynamic data of the flight and the analyzed historical traffic flow data; the last step is to dynamically adjust the scheduling order of each passenger elevator car after determining the service priority 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 congestion and reduced service efficiency caused by multiple flights requiring the same resource at the same time point. This scheduling technology can ensure that even when flights arrive densely during peak hours, it can still respond quickly and reduce passenger waiting time, thereby improving the coordination and smoothness of the operation of the entire airport facility, and solving the problem of tight resource allocation caused by the surge in demand and the subsequent risk of flight delays.

[0079] The above is a preferred embodiment of the present application. It should be pointed out that, for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present application.

Claims

1. A method for controlling an automatic escalator passenger car for aviation, characterized in that: include: Get the actual arrival time and gate location information of each flight; Forecast simultaneous service demands for multiple flights and identify potential conflicting mission assignments; Calculate the service priority of each escalator passenger elevator based on real-time flight dynamics and historical traffic flow data analysis; The task allocation plan of the escalator passenger elevator car is adjusted according to the calculated priority.

2. The method for controlling an escalator passenger car for aviation according to claim 1, characterized in that: The steps for calculating the service priority of each escalator passenger elevator car based on real-time flight dynamics and historical traffic flow data analysis 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 same period in history; Calculate the distance Di,j between the boarding gates of each flight according to the boarding gate location information; Considering the current task status and location of each escalator passenger elevator car, the service capacity factor Pi is calculated; The service priority Pij = Si×Pi / Di,j is obtained, where Si represents the service importance factor of flight i, Di,j represents the shortest straight-line distance from escalator car j to the boarding gate of flight i, and Pi represents the current service capacity factor of escalator car j.

3. The method for controlling an escalator passenger car 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 than the expected time or delayed by more than the threshold time Dd, triggering the special service priority adjustment flag flagS; Immediately initiate the service priority reordering mechanism to update the service priority of all on-site passenger elevators.

4. The method for controlling an escalator passenger car for aviation according to claim 3, characterized in that: After calculating the service priority obtained by combining various factors, the adjustment mechanism is also included, including: Re-order based on updated priority values; Record the newly assigned task plan for each escalator passenger elevator car; Evaluate the impact of the scheduling changes on the total scheduling duration against the adjusted priorities; If the impact exceeds the preset tolerance threshold, return to further analyze the optimization, otherwise continue with the new plan.

5. The method for controlling an aviation escalator passenger car according to claim 4, characterized in that: After setting the delay threshold and comparing it with the actual delay time, the following steps are included: Adjusting the standby or service status of each escalator passenger elevator car based on the currently calculated priority level; Check the task queue of each escalator passenger elevator car to ensure the continuity and smoothness of the task; The monitoring system feedback information confirms the on-site operation status after the priority allocation adjustment, including the current location and service status of each vehicle; When verifying the adjustment effect, the total waiting time and vehicle turnover rate are considered as the verification benchmark. If the actual efficiency reaches the set standard, the optimization is confirmed to be effective. Otherwise, individual parameters are further adjusted until they reach or exceed the set standard.

6. The method for controlling an automatic escalator passenger car for aviation according to claim 5, characterized in that: 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: Obtain the expected standard efficiency E based on historical data; Use statistical methods to estimate the overall dispatch performance in the current situation; Check the batch scheduling results and mark the changes that exceed the predetermined period Ld for further analysis; If TE = (WT / WTold) × (1 + TP / TPnew) × SQRT(Loadavg / max_Load) ≥ E, then confirm the improvement of this algorithm. Here, WT represents the overall waiting period, WTold represents the old waiting time, TP represents the benchmark of the passenger passing time, 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 bearable working condition under a single task.

7. The method for controlling an escalator passenger car for aviation according to claim 1, characterized in that: The steps of calculating the service priority of each escalator and passenger elevator based on real-time flight dynamics and historical traffic flow data are specifically as follows: Obtain the status information of the escalator and passenger elevator, where the status information includes the working status and power information; 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; Obtain historical traffic flow data, which includes the statistical data of the past traffic flow in different time periods; Comprehensively evaluate the service priority of each escalator and passenger elevator based on the importance of the flight, the current congestion situation at the boarding gate, and the working load of each escalator and passenger elevator.

8. The method for controlling an aviation escalator passenger car according to claim 7, characterized in that: The evaluation based on the importance of the flight includes: Determine the flight level Pj; Analyze the passenger flow Mj and the average passenger waiting time wj during this time 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.

9. The method for controlling an aviation escalator passenger car according to claim 8, characterized in that: The evaluation 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, it is necessary to increase the service priority weight of this flight, where S is the distance from the security check to the boarding gate.

10. The method for controlling an aviation escalator passenger car according to claim 9, characterized in that: The evaluation of the service priority of each escalator and passenger elevator based on the working load of each escalator and passenger elevator includes: Collect the number of service completions SC_i of all escalator vehicles i in the past time period; Statistically calculate the total sum of the important levels SG_i of the flights served by each escalator and passenger elevator during this period; Obtain the satisfaction score SF_i given by passengers after each service completion; 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 working load, where W_SC represents the proportional weight of the number of service completions in the priority calculation.

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