Elevator control method, device and elevator

Abstract

The application discloses an elevator control method, device and elevator, and relates to the technical field of elevator control, and specifically discloses an elevator control method, device and elevator. The method comprises the following steps: acquiring the elevator taking features of multiple elevator taking users; determining the identity recognition results of the multiple elevator taking users respectively according to the elevator taking features, wherein the identity recognition results comprise ordinary residents and delivery personnel; determining multiple delivery task groups according to the delivery data of the delivery personnel; determining the carpooling benefits according to the elevator taking data of the ordinary residents and the delivery task groups; and determining the elevator control instructions according to the elevator taking features, the delivery task groups and the carpooling benefits. Through accurate identification of the delivery personnel, it is determined whether to control the elevator by using the carpooling strategy of the ordinary residents and the delivery personnel according to the carpooling benefits, so that the efficient use of elevator resources is realized, and the elevator transportation efficiency is improved.

Description

Technical Field

[0001] This invention relates to the field of elevator control technology, and in particular to an elevator control method, device, and elevator. Background Technology

[0002] With the acceleration of urbanization and the booming development of e-commerce, high-rise residential buildings have become the mainstream housing form. The widespread use of services such as express delivery and food delivery has led to frequent elevator use by delivery personnel, further exacerbating the shortage of elevator resources in high-rise residential buildings. However, existing elevator control technologies have the following limitations:

[0003] 1) Based on people count: The system counts the number of people inside and outside the elevator using sensors, but it cannot distinguish between delivery personnel and ordinary residents, making it impossible to optimize the system accordingly.

[0004] 2) Time-based pattern: Predict peak periods based on historical data, considering only the time factor and ignoring differences in user identity;

[0005] 3) Based on simple behavior recognition: Recognition is based on simple features such as the number of times the user takes the elevator. The recognition accuracy is low and it is easy to misidentify the user.

[0006] Therefore, existing technologies cannot effectively solve the problem of resource waste caused by delivery personnel frequently using elevators alone, especially during peak hours for express delivery and takeout, when elevator transportation efficiency drops significantly, and residents' waiting time and delivery time for delivery personnel are significantly extended. Summary of the Invention

[0007] In order to overcome the shortcomings of the prior art, the present invention aims to provide an elevator control method, device and elevator, which controls the elevator by accurately identifying the delivery personnel and adopting a shared ride strategy for ordinary residents and delivery personnel, thereby achieving efficient utilization of elevator resources and improving elevator transportation efficiency.

[0008] This invention is implemented according to the following scheme:

[0009] An elevator control method is provided, including:

[0010] Obtain elevator usage characteristics of multiple elevator users;

[0011] Based on the elevator riding characteristics, the identification results of multiple elevator users are determined, including ordinary residents and delivery personnel;

[0012] Based on the delivery data of the delivery personnel, multiple delivery task groups are determined;

[0013] Based on the elevator usage data of the ordinary residents and the delivery task group, the carpooling benefits are determined;

[0014] Based on the elevator riding characteristics, the dispatch task group, and the ride-sharing benefits, elevator control commands are determined.

[0015] Compared with the prior art, the beneficial effects of the elevator control method of the present invention are as follows: by accurately identifying the delivery personnel, the method determines whether to control the elevator using a carpooling strategy for ordinary residents and delivery personnel based on the carpooling benefits, so as to achieve efficient utilization of elevator resources and improve elevator transportation efficiency.

[0016] Optionally, the elevator usage characteristics include frequency characteristics, interval characteristics, time characteristics, time period characteristics, and pattern characteristics;

[0017] Obtain elevator usage characteristics of multiple elevator users, including:

[0018] Acquire user characteristics, total number of elevator rides, floors visited, dwell time, and historical elevator ride data;

[0019] Based on the user characteristics, the total number of elevator rides, floors visited, and time spent on the elevator are divided to determine the number of elevator rides, floors visited, and total time spent on the elevator for each user.

[0020] Based on the number of elevator rides, floors visited, and total stay duration of multiple elevator users, the frequency characteristics, interval characteristics, and time characteristics of each elevator user are determined.

[0021] Based on the historical elevator usage data, time period characteristics are determined to indicate whether it is a peak delivery period;

[0022] Based on the historical elevator usage data and the time period characteristics, the pattern characteristics are determined.

[0023] Optionally, based on the elevator riding characteristics, the identification results of multiple elevator users are determined, including:

[0024] Based on the elevator usage characteristics, a comprehensive score is determined for each of the multiple elevator users.

[0025] The identity recognition result is determined based on the comprehensive score and the dynamic threshold, wherein the dynamic threshold is dynamically adjusted based on ROC curve analysis and the principle of maximizing F1 score.

[0026] Optionally, based on the delivery data of the delivery personnel, multiple delivery task groups are determined, including:

[0027] Based on the delivery data of the delivery personnel, determine the delivery task characteristics corresponding to each delivery personnel.

[0028] Based on the characteristics of the delivery tasks, a correlation matrix is ​​constructed to indicate the spatial correlation between multiple delivery tasks.

[0029] Based on the correlation matrix, and using a hierarchical clustering algorithm, multiple delivery tasks are divided into multiple delivery task groups.

[0030] Optionally, after determining multiple delivery task groups, the method further includes:

[0031] Based on the task group data of the dispatch task group, determine the priority level of the dispatch task group.

[0032] Optionally, based on the elevator usage data of the ordinary residents and the delivery task group, the carpooling benefits are determined, including:

[0033] Based on the elevator usage data of the ordinary residents, determine the elevator direction;

[0034] The delivery direction is determined based on the aforementioned delivery task group;

[0035] Ordinary residents whose elevator direction is the same as the delivery direction are identified as candidate users;

[0036] The carpooling benefits are determined based on the elevator usage data of the candidate users and the dispatch task group.

[0037] Optionally, based on the candidate users' elevator usage data and the delivery task group, the carpooling benefits are determined, including:

[0038] Determine the elevator travel time and energy consumption when the candidate user rides the elevator alone, the delivery time and energy consumption when the candidate user completes the delivery task group alone, and the shared elevator travel time and energy consumption when the candidate user and the delivery task group ride the elevator together.

[0039] Based on the elevator ride time, the delivery time, and the shared ride time, determine the time variation when the candidate user and the delivery task group ride the elevator together;

[0040] Based on the elevator energy consumption, the delivery energy consumption, and the shared elevator energy consumption, determine the change in energy consumption when the candidate user and the delivery task group share an elevator ride.

[0041] The multiplication benefit is determined based on the time change and the energy consumption change.

[0042] Optionally, the elevator control commands include ride-sharing commands and regular scheduling commands;

[0043] Based on the elevator riding characteristics, the dispatch task group, and the carpooling benefits, elevator control commands are determined, including:

[0044] When the time period is a peak delivery period, for candidate users and delivery task groups whose shared ride benefits are greater than or equal to a preset benefit threshold, a shared ride instruction for controlling the shared ride elevator group is used; for those whose shared ride benefits are less than the preset benefit threshold, a regular scheduling instruction for controlling the regular elevator group is used. The shared ride elevator group includes multiple elevators shared by the candidate users and the delivery task group, and the regular elevator group includes multiple elevators that respectively execute elevator requests from ordinary residents or delivery task groups.

[0045] When the time period is a non-peak delivery period, the conventional scheduling instructions are applied to all elevators.

[0046] An elevator control device is also provided, which applies the above-mentioned elevator control method, including:

[0047] The feature acquisition module is used to acquire the elevator usage characteristics of multiple elevator users.

[0048] The data processing module is used for:

[0049] Based on the elevator riding characteristics, the identification results of multiple elevator users are determined, including ordinary residents and delivery personnel;

[0050] Based on the delivery data of the delivery personnel, multiple delivery task groups are determined;

[0051] Based on the elevator usage data of the ordinary residents and the delivery task group, the carpooling benefits are determined;

[0052] The control command determination module is used to determine elevator control commands based on the elevator riding characteristics, the dispatch task group, and the carpooling benefits.

[0053] An elevator is also provided, including a processor and a memory, wherein the memory stores at least one instruction, at least one program, code set or instruction set, and the at least one instruction, at least one program, code set or instruction set is loaded and executed by the processor to implement the elevator control method described above. Attached Figure Description

[0054] Figure 1 This is a flowchart of the elevator control method of the present invention. Detailed Implementation

[0055] The preferred embodiments of the present invention will be described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are for illustration and explanation only and are not intended to limit the present invention.

[0056] In the following description, when referring to the accompanying drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with this application. Rather, they are merely examples of apparatuses and methods consistent with some aspects of this application as detailed in the appended claims. In the description of this application, it should be understood that the terms "first," "second," "third," etc., are used only to distinguish similar objects and are not necessarily used to describe a specific order or sequence, nor should they be construed as indicating or implying relative importance. Those skilled in the art can understand the specific meaning of the above terms in this application according to the specific circumstances.

[0057] See Figure 1 As shown, an elevator control method of the present invention includes:

[0058] S1: Obtain the elevator usage characteristics of multiple elevator users. These characteristics include frequency characteristics, interval characteristics, time characteristics, time period characteristics, and pattern characteristics. Among them, the frequency characteristic is the number of times the same elevator user takes the elevator within a sliding time window; the interval characteristic is the difference between the highest and lowest floors visited by the elevator user within the sliding time window; the time characteristic is the duration of time the elevator user opens the door on each floor; the time period characteristic is used to indicate peak delivery periods; and the pattern characteristic is the analysis result of the regularity of the elevator usage path of the elevator users.

[0059] In one embodiment of the present invention, acquiring the elevator usage characteristics of multiple elevator users includes: acquiring user characteristics, total number of elevator rides, floors visited, dwell time, and historical elevator usage data; dividing the total number of elevator rides, floors visited, and dwell time according to the user characteristics to determine the number of elevator rides, floors visited, and total dwell time corresponding to each of the multiple elevator users; determining the frequency characteristics, interval characteristics, and time characteristics corresponding to each of the multiple elevator users according to the number of elevator rides, floors visited, and total dwell time corresponding to each of the multiple elevator users; determining the time period characteristics used to indicate whether it is a peak delivery period according to the historical elevator usage data; and determining the pattern characteristics according to the historical elevator usage data and time period characteristics.

[0060] In one embodiment of the present invention, user features include clothing features. The correlation of clothing features is determined using HSV color histograms and LBP texture features to segment elevator usage data corresponding to multiple elevator users based on clothing features, thereby more accurately identifying the identity of elevator users. The expression for the elevator usage features is as follows:

[0061] F freq =count 乘梯次数 / Time Window

[0062] F range =max 楼层 min 楼层

[0063] F time =avg 开门时间 std 开门时间

[0064]

[0065]

[0066]

[0067]

[0068] Among them, F freq For frequency features, count 乘梯次数 For the number of elevator rides per user, the time window is an adjustable sliding window of 30-60 minutes, with a step size of 5-10 minutes; F range For interval features, max 楼层 The highest floor the user stays on, min 楼层 The lowest floor where the user stays; F time As a time feature, Total user dwell time The number of floors the user stays on. This represents the average duration of door opening on each floor. The standard deviation of the door opening duration on each floor; I represents the time-period feature, and I is the dynamic weighting function. For pattern features, The weights corresponding to the concentration. The weight corresponding to the degree of repetition. To determine the weights corresponding to the time variation coefficient, the concentration, repetition, and time variation coefficient are determined, including: constructing elevator user route sequences based on historical elevator data; using the PrefixSpan algorithm to mine elevator route patterns; and determining the concentration (reflecting the degree of access concentration), the repetition (reflecting the degree of repetition of elevator routes), and the time variation coefficient (reflecting the regularity of elevator travel time) based on the elevator travel patterns; weights. , , Dynamic adjustments based on building type or time period characteristics, including:

[0069] Initialize weights based on building type:

[0070] Residential buildings: =0.4, =0.4, =0.2;

[0071] Commercial buildings: =0.3, =0.5, =0.2;

[0072] Mixed-use architecture: =0.35, =0.45, =0.2;

[0073] Dynamic adjustment based on time period characteristics:

[0074] Peak hours: Increase the weight corresponding to repetition. ;

[0075] Off-peak hours: Balance the weighting coefficients;

[0076] Nighttime hours: Increase the weight corresponding to concentration .

[0077] S2: Based on elevator usage characteristics, determine the identification results of multiple elevator users, including ordinary residents and delivery personnel. This includes: determining the comprehensive score of each user based on their usage characteristics; determining the identification result based on the comprehensive score and a dynamic threshold, where the dynamic threshold is dynamically adjusted based on ROC curve analysis and the F1 score maximization principle; the formula for calculating the comprehensive score is as follows:

[0078]

[0079] in, For the overall score, F freq As a frequency feature, F represents the weights corresponding to the frequency features. range For interval features, F represents the weights corresponding to the interval features. time As a time feature, The weights corresponding to the time features. Characteristics based on time period, The weights corresponding to the time period features. For pattern features, These are the weights corresponding to the pattern features.

[0080] In one embodiment of the present invention, when the comprehensive score is greater than or equal to the dynamic threshold, the user's identity is identified as a delivery person; when the comprehensive score is less than the dynamic threshold, the user's identity is identified as an ordinary resident.

[0081] S3: Based on the delivery data of delivery personnel, determine multiple delivery task groups, including: determining the delivery task characteristics corresponding to each delivery personnel based on the delivery data of delivery personnel; constructing a correlation matrix to indicate the spatial correlation between multiple delivery tasks based on the delivery task characteristics; and dividing the multiple delivery tasks into multiple delivery task groups based on the correlation matrix and a hierarchical clustering algorithm.

[0082] In one embodiment of the present invention, after determining multiple delivery task groups, the method further includes: determining the priority level of the delivery task groups based on the task group data of the delivery task groups.

[0083] In one embodiment of the present invention, the delivery data of the delivery personnel includes, but is not limited to, obtaining the real-time floor where the delivery personnel are located through elevator position sensors or cameras, identifying one or more floors that the delivery personnel are likely to go to based on historical elevator ride data (such as the floors of residents who have made multiple deliveries), and evaluating the delivery data in combination with information such as delivery type (takeout / courier), and estimating the total time from the current location to the completion of the delivery task based on the delivery data in the historical elevator ride data.

[0084] In one embodiment of the present invention, the delivery task characteristics include minimum floor distance, total number of floors in the building, delivery path T_i, maximum path length, and task time overlap ratio. Based on the delivery task characteristics, a correlation matrix is ​​constructed to indicate the spatial correlation between multiple delivery tasks, including: determining floor proximity, path overlap, and time window matching degree based on the delivery task characteristics, calculated using the following formula:

[0085] Floor proximity = 1 - (minimum floor distance / total number of floors in the building)

[0086] Path overlap = LCS(T_i, T_j) / maximum path length

[0087] Time window matching degree = task time overlap ratio

[0088] Where T_j represents the elevator route for ordinary residents;

[0089] Next, based on floor proximity, path overlap, and time window matching, a correlation matrix is ​​constructed, expressed as follows:

[0090] Corr(T_i, T_j) = ×Floor proximity+ ×Path overlap+ ×Time window matching degree

[0091] Where Corr(T_i, T_j) is the correlation matrix. The weight corresponding to the proximity of floors is 0.4; The weight corresponding to the path overlap is 0.4; The weight corresponding to the time window matching degree is 0.2.

[0092] In one embodiment of the present invention, based on the correlation matrix and a hierarchical clustering algorithm, multiple delivery tasks are divided into multiple delivery task groups, including: treating each delivery task as a separate cluster, calculating the average distance between clusters, and merging the clusters with the largest distance; when the distance between clusters is less than the merging threshold or the size of the cluster is greater than or equal to the size of the largest cluster, merging and outputting multiple delivery task groups is stopped.

[0093] S4: Determine the carpooling benefits based on the elevator usage data of ordinary residents and the delivery task group, including: determining the elevator usage direction based on the elevator usage data of ordinary residents; determining the delivery direction based on the delivery task group; identifying ordinary residents whose elevator usage direction is the same as the delivery direction as candidate users; and determining the carpooling benefits based on the elevator usage data of candidate users and the delivery task group.

[0094] In one embodiment of the present invention, the carpooling benefit is determined based on the elevator usage data of candidate users and the delivery task group, including: determining the elevator usage time and energy consumption when a candidate user rides the elevator alone, the delivery time and energy consumption when a candidate user completes a delivery task group alone, and the carpooling time and energy consumption when a candidate user and a delivery task group ride the elevator together; determining the time variation when a candidate user and a delivery task group ride the elevator together based on the elevator usage time, delivery time, and carpooling time; determining the energy consumption variation when a candidate user and a delivery task group ride the elevator together based on the elevator usage energy consumption, delivery energy consumption, and carpooling energy consumption; and determining the carpooling benefit based on the time variation and energy consumption variation.

[0095] S5: Determine elevator control instructions based on elevator usage characteristics, delivery task groups, and shared ride benefits. These elevator control instructions include shared ride instructions and regular scheduling instructions. In one embodiment of the invention, determining elevator control instructions based on elevator usage characteristics, delivery task groups, and shared ride benefits includes: when the time period is a peak delivery period, for candidate users and delivery task groups whose shared ride benefits are greater than or equal to a preset benefit threshold, a shared ride instruction for controlling shared ride elevator groups is used; for shared ride benefits less than the preset benefit threshold, a regular scheduling instruction for controlling regular elevator groups is used. A shared ride elevator group includes elevators shared by multiple candidate users and delivery task groups; a regular elevator group includes multiple elevators that respectively execute elevator requests from ordinary residents or delivery task groups. When the time period is not a peak delivery period, a regular scheduling instruction is used for all elevators.

[0096] This invention improves the accuracy of identifying delivery personnel by acquiring five dimensions of elevator usage characteristics: frequency, interval, time, time period, and pattern. At the same time, it controls qualified elevators by adopting a shared usage scheduling strategy for delivery personnel and ordinary residents, thereby improving the transportation efficiency of elevators during peak delivery periods, reducing elevator congestion, and also reducing the waiting time for ordinary residents.

[0097] An elevator control device of the present invention, applying the above-described elevator control method, includes:

[0098] The feature acquisition module is used to acquire the elevator usage characteristics of multiple elevator users.

[0099] The data processing module is used for:

[0100] Based on the characteristics of elevator use, the identification results of multiple elevator users were determined, including ordinary residents and delivery personnel.

[0101] Based on the delivery data of the delivery personnel, multiple delivery task groups are identified.

[0102] Based on elevator usage data from ordinary residents and the dispatch task force, the benefits of ride-sharing are determined.

[0103] The control command determination module is used to determine elevator control commands based on elevator characteristics, dispatch task groups, and ride-sharing benefits.

[0104] The computer device of the present invention includes a processor and a memory. The memory stores at least one instruction, at least one program, code set, or instruction set, and the at least one instruction, at least one program, code set, or instruction set is loaded and executed by the processor to implement the elevator control method described above.

[0105] The processor can be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc.

[0106] The memory can be used to store the computer program or module. The processor implements various functions of the elevator control method by running or executing the computer program or module stored in the memory and calling the data stored in the memory. The memory may mainly include a program storage area and a data storage area. The program storage area may store the operating system, at least one application program required for a function, etc.; the data storage area may store data created based on the use of the mobile phone, etc. In addition, the memory may include high-speed random access memory, and may also include non-volatile memory, such as hard disk, RAM, plug-in hard disk, smart media card (SMC), secure digital (SD) card, flash card, at least one disk storage device, flash memory device, or other volatile solid-state storage device.

[0107] The above are merely preferred embodiments of this application and are not intended to limit this application. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the protection scope of this application.

Claims

1. An elevator control method, characterized in that, include: The elevator usage characteristics of multiple elevator users are obtained; these characteristics include frequency characteristics, interval characteristics, time characteristics, time period characteristics, and pattern characteristics. The process involves acquiring elevator usage characteristics of multiple users, including: acquiring user characteristics, total number of elevator rides, floors visited, dwell time, and historical elevator usage data; dividing the total number of elevator rides, floors visited, and dwell time based on the user characteristics to determine the number of elevator rides, floors visited, and total dwell time for each user; determining the frequency characteristics, interval characteristics, and time characteristics for each user based on the number of elevator rides, floors visited, and total dwell time for each user; determining the time period characteristics to indicate whether it is a peak delivery period based on the historical elevator usage data; and determining the pattern characteristics based on the historical elevator usage data and the time period characteristics. Based on the elevator riding characteristics, the identification results of multiple elevator users are determined, including: determining the comprehensive score of multiple elevator users based on the elevator riding characteristics; determining the identification result based on the comprehensive score and a dynamic threshold, wherein the dynamic threshold is dynamically adjusted based on ROC curve analysis and the F1 score maximization principle; the identification result includes ordinary residents and delivery personnel. The formula for calculating the overall score is as follows: in, For the overall score, F freq As a frequency feature, F represents the weights corresponding to the frequency features. range For interval features, F represents the weights corresponding to the interval features. time As a time feature, The weights corresponding to the time features. Characteristics of different time periods The weights corresponding to the time period features. For pattern features, The weights corresponding to the pattern features; Based on the delivery data of the delivery personnel, multiple delivery task groups are determined, including: determining the delivery task characteristics corresponding to each delivery personnel based on the delivery data of the delivery personnel; constructing a correlation matrix to indicate the spatial correlation between multiple delivery tasks based on the delivery task characteristics; and dividing the multiple delivery tasks into multiple delivery task groups based on the correlation matrix using a hierarchical clustering algorithm. Based on the elevator usage data of the ordinary residents and the delivery task group, the carpooling benefits are determined, including: determining the elevator usage direction based on the elevator usage data of the ordinary residents; determining the delivery direction based on the delivery task group; identifying ordinary residents whose elevator usage direction is the same as the delivery direction as candidate users; and determining the carpooling benefits based on the elevator usage data of the candidate users and the delivery task group. Based on the elevator riding characteristics, the dispatch task group, and the ride-sharing benefits, elevator control commands are determined.

2. The elevator control method according to claim 1, characterized in that, After identifying multiple delivery task groups, the method further includes: Based on the task group data of the dispatch task group, determine the priority level of the dispatch task group.

3. The elevator control method according to claim 1, characterized in that, Based on the elevator usage data of the candidate users and the delivery task group, the carpooling benefits are determined, including: Determine the elevator travel time and energy consumption when the candidate user rides the elevator alone, the delivery time and energy consumption when the candidate user completes the delivery task group alone, and the shared elevator travel time and energy consumption when the candidate user and the delivery task group ride the elevator together. Based on the elevator ride time, the delivery time, and the shared ride time, determine the time variation when the candidate user and the delivery task group ride the elevator together; Based on the elevator energy consumption, the delivery energy consumption, and the shared elevator energy consumption, determine the change in energy consumption when the candidate user and the delivery task group share an elevator ride. The multiplication benefit is determined based on the time change and the energy consumption change.

4. The elevator control method according to claim 1, characterized in that, The elevator control commands include ride-sharing commands and regular dispatch commands; Based on the elevator riding characteristics, the dispatch task group, and the carpooling benefits, elevator control commands are determined, including: When the time period is a peak delivery period, for candidate users and delivery task groups whose shared ride benefits are greater than or equal to a preset benefit threshold, a shared ride instruction for controlling the shared ride elevator group is used; for candidate users and delivery task groups whose shared ride benefits are less than the preset benefit threshold, a regular scheduling instruction for controlling the regular elevator group is used. The shared ride elevator group includes multiple elevators shared by the candidate users and the delivery task group, and the regular elevator group includes multiple elevators that respectively execute the elevator requests of ordinary residents or the elevator requests of the delivery task group. When the time period is a non-peak delivery period, the conventional scheduling instructions are applied to all elevators.

5. An elevator control device, employing the elevator control method according to any one of claims 1-4, characterized in that, include: The feature acquisition module is used to acquire the elevator usage characteristics of multiple elevator users. The data processing module is used for: Based on the elevator riding characteristics, the identification results of multiple elevator users are determined, including ordinary residents and delivery personnel; Based on the delivery data of the delivery personnel, multiple delivery task groups are determined; Based on the elevator usage data of the ordinary residents and the delivery task group, the carpooling benefits are determined; The control command determination module is used to determine elevator control commands based on the elevator riding characteristics, the dispatch task group, and the carpooling benefits.

6. An elevator, characterized in that, The elevator includes a processor and a memory, the memory storing at least one instruction, at least one program, code set, or instruction set, the at least one instruction, at least one program, code set, or instruction set being loaded and executed by the processor to implement an elevator control method as described in any one of claims 1 to 4.

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