Operation analysis method and device based on elevator real-time operation state and medium

Abstract

The invention discloses a running analysis method and device based on the real-time running state of an elevator and a medium, and the method comprises the steps that real-time state data generated in the running process of the elevator is collected through a sensor arranged in a key running assembly in the elevator; determining a running stroke corresponding to the elevator in the preset monitoring time period, and extracting stroke parameters generated by the elevator in the running stroke from the real-time state data; the corresponding operation energy consumption and operation efficiency of the elevator in the operation stroke are calculated according to the stroke parameters; according to the operation energy consumption and the operation efficiency in different monitoring time periods, fitting to obtain a corresponding operation energy consumption curve and an operation efficiency curve; and according to the operation energy consumption curve and the operation efficiency curve, an operation balance coefficient corresponding to the elevator is determined, and balance between the operation energy consumption and the operation efficiency is achieved through the operation balance coefficient.

Description

Technical Field

[0001] The present application relates to the technical field of elevators, and in particular to an operation analysis method, device and medium based on the real-time operation status of an elevator. Background Art

[0002] In the process of modern urbanization, elevators are indispensable vertical transportation tools in high-rise buildings and large public facilities. Their operating efficiency and energy consumption level are directly related to the travel convenience and operating costs of building users. With the continuous advancement of elevator technology and the growing demand for intelligent management, how to efficiently and accurately analyze the operating status of elevators and optimize their operating strategies to achieve a dual improvement in energy consumption and efficiency has become a key technical issue that the elevator industry needs to solve.

[0003] Traditional elevator operation management mainly relies on regular maintenance and manual monitoring. This method is inefficient and difficult to capture subtle changes and potential problems in elevator operation in real time, especially during peak hours, when elevators frequently start, accelerate, decelerate and stop. The balance between energy consumption and efficiency during these dynamic changes is particularly complex, and it is difficult to achieve the optimal state through experience-based adjustments alone. Summary of the invention

[0004] In order to solve the above problems, the present application proposes an operation analysis method based on the real-time operation status of an elevator, comprising:

[0005] The real-time status data generated by the elevator during operation is collected by sensors installed in key operating components of the elevator;

[0006] Determine the running trip corresponding to the elevator within a preset monitoring period, and extract the trip parameters generated by the elevator within the running trip from the real-time status data;

[0007] Calculate the operating energy consumption and operating efficiency of the elevator within the operating range according to the travel parameters;

[0008] According to the operating energy consumption and the operating efficiency in different monitoring periods, corresponding operating energy consumption curves and operating efficiency curves are obtained by fitting;

[0009] An operation balance coefficient corresponding to the elevator is determined according to the operation energy consumption curve and the operation efficiency curve, so as to achieve a balance between the operation energy consumption and the operation efficiency through the operation balance coefficient.

[0010] In one implementation of the present application, determining the running itinerary of the elevator within a preset monitoring period specifically includes:

[0011] The real-time status data at least includes the car position, running direction, running speed and whether it is in a leveling state;

[0012] determining whether the position of the car changes during the monitoring period;

[0013] If so, determining whether the running direction corresponding to the elevator has changed, so as to determine the target car position of the elevator according to the running direction;

[0014] The operation phase of the elevator from the initial car position to the target car position within the monitoring period is taken as the operation stroke within the monitoring period.

[0015] In one implementation of the present application, determining whether the running direction corresponding to the elevator changes to determine the target car position of the elevator specifically includes:

[0016] When the running direction corresponding to the elevator changes, determining the car position of which the running direction changes as the target car position;

[0017] When the running direction corresponding to the elevator does not change, determining whether the elevator is in a leveling state at the end time of the monitoring period;

[0018] If so, the current car position of the elevator is used as the target car position; if not, the previous car position of the current car position is used as the target car position.

[0019] In one implementation of the present application, extracting the travel parameters generated by the elevator in the running journey from the real-time status data specifically includes:

[0020] The real-time status data also includes running time;

[0021] Taking the distance between the initial car position and the target car position of the elevator as the cumulative running distance of the elevator within the running stroke;

[0022] Calculating the ratio between the cumulative running distance and the running time, and determining the corresponding cumulative number of starts and stops of the elevator according to the ratio and the running speed;

[0023] The accumulated running distance and the accumulated start and stop times are used as the travel parameters generated by the elevator.

[0024] In one implementation of the present application, calculating the operating energy consumption and operating efficiency of the elevator within the operating journey according to the journey parameters specifically includes:

[0025] Determine the unit operating energy consumption of the elevator during stable operation, and the kinetic energy consumption generated during start-up and stop;

[0026] Calculating a first product between the unit operating energy consumption and the operating time, and a second product between the kinetic energy consumption and the accumulated number of starts and stops;

[0027] Adding the first product and the second product to obtain the running energy consumption of the elevator within the running range;

[0028] The running speed is compared with the rated speed of the elevator to determine the speed difference between the running speed and the rated speed, the ratio between the speed difference and the rated speed is determined, and the difference between a preset value and the ratio is used as the running efficiency of the elevator.

[0029] In one implementation of the present application, determining the operation balance coefficient corresponding to the elevator according to the operation energy consumption curve and the operation efficiency curve specifically includes:

[0030] Determining whether there is an intersection between the operating energy consumption curve and the operating efficiency curve;

[0031] If yes, obtain the operation energy consumption value and the operation efficiency value corresponding to the intersection, calculate the ratio between the operation energy consumption value and the operation efficiency value, and use the ratio as the operation balance coefficient corresponding to the elevator;

[0032] When the number of the intersection points is greater than 1, the average of the ratios corresponding to the intersection points is used as the operation balance coefficient corresponding to the elevator.

[0033] In one implementation of the present application, after determining whether there is an intersection between the operating energy consumption curve and the operating efficiency curve, the method further includes:

[0034] In the case where there is no intersection between the operating energy consumption curve and the operating efficiency curve, determining an operating difference between the operating energy consumption curve and the operating efficiency curve at the same time point, and generating at least one curve balance area according to the operating difference;

[0035] The ratio between the operation energy consumption value and the operation efficiency value corresponding to each time point in the balance area of ​​the curve is determined, and the operation balance coefficient corresponding to the elevator is determined according to the ratio.

[0036] In one implementation of the present application, the operation balance coefficient corresponding to the elevator is calculated according to the ratio, specifically including:

[0037] In the case where there are multiple curve balance areas, the operation balance coefficient corresponding to the curve balance area is calculated, and the corresponding weight coefficient is allocated to the curve balance area according to the number of time points existing in the curve balance area; wherein the number of time points is positively correlated with the weight coefficient;

[0038] The operation balance coefficient of each curve balance area is weighted and summed according to the weight coefficient to obtain the operation balance coefficient corresponding to the elevator.

[0039] The embodiment of the present application provides an operation analysis device based on the real-time operation status of an elevator, the device comprising:

[0040] at least one processor;

[0041] and, a memory communicatively coupled to the at least one processor;

[0042] The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to:

[0043] The real-time status data generated by the elevator during operation is collected by sensors installed in key operating components of the elevator;

[0044] Determine the running trip corresponding to the elevator within a preset monitoring period, and extract the trip parameters generated by the elevator within the running trip from the real-time status data;

[0045] Calculate the operating energy consumption and operating efficiency of the elevator within the operating range according to the travel parameters;

[0046] According to the operating energy consumption and the operating efficiency in different monitoring periods, corresponding operating energy consumption curves and operating efficiency curves are obtained by fitting;

[0047] An operation balance coefficient corresponding to the elevator is determined according to the operation energy consumption curve and the operation efficiency curve, so as to achieve a balance between the operation energy consumption and the operation efficiency through the operation balance coefficient.

[0048] The embodiment of the present application provides a non-volatile computer storage medium storing computer executable instructions, wherein the computer executable instructions are configured as follows:

[0049] The real-time status data generated by the elevator during operation is collected by sensors installed in key operating components of the elevator;

[0050] Determine the running trip corresponding to the elevator within a preset monitoring period, and extract the trip parameters generated by the elevator within the running trip from the real-time status data;

[0051] Calculate the operating energy consumption and operating efficiency of the elevator within the operating range according to the travel parameters;

[0052] According to the operating energy consumption and the operating efficiency in different monitoring periods, corresponding operating energy consumption curves and operating efficiency curves are obtained by fitting;

[0053] An operation balance coefficient corresponding to the elevator is determined according to the operation energy consumption curve and the operation efficiency curve, so as to achieve a balance between the operation energy consumption and the operation efficiency through the operation balance coefficient.

[0054] The operation analysis method based on the real-time operation status of the elevator proposed in this application can bring the following beneficial effects:

[0055] By collecting the real-time status data of the elevator through sensors, it is possible to accurately capture the subtle changes of the elevator under different operating trips, which significantly improves management efficiency compared to the traditional method of relying on regular maintenance and manual monitoring. By fitting the operating energy consumption curve and the operating efficiency curve, it is possible to intuitively display the changing trend between the energy consumption and efficiency of the elevator. By determining the operating balance coefficient, an effective balance between the operating energy consumption and operating efficiency is achieved, effectively improving the operating efficiency of the elevator. BRIEF DESCRIPTION OF THE DRAWINGS

[0056] The drawings described herein are used to provide a further understanding of the present application and constitute a part of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:

[0057] Figure 1 A flow chart of an operation analysis method based on the real-time operation status of an elevator provided in an embodiment of the present application;

[0058] Figure 2 A schematic diagram of the structure of an operation analysis device based on the real-time operation status of an elevator provided in an embodiment of the present application. DETAILED DESCRIPTION

[0059] In order to make the purpose, technical solution and advantages of the present application clearer, the technical solution of the present application will be clearly and completely described below in combination with the specific embodiments of the present application and the corresponding drawings. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present application.

[0060] The technical solutions provided by various embodiments of the present application are described in detail below in conjunction with the accompanying drawings.

[0061] like Figure 1 As shown, an operation analysis method based on the real-time operation status of an elevator provided in an embodiment of the present application includes:

[0062] S101: Collect real-time status data generated during the operation of the elevator through sensors installed in key operating components of the elevator.

[0063] The key operating components of the elevator, such as the car, control cabinet, door machine system, etc., are used to monitor the operating status of the elevator in real time. The above key operating components are equipped with sensors, including: service mode sensor, car position sensor, speed sensor, height sensor, door status sensor, air pressure sensor, angle sensor, etc. Using wireless communication technology (such as Wi-Fi, LoRa, Bluetooth, etc.), the collected real-time status data can be transmitted to the central processing unit.

[0064] S102: Determine the running trip of the elevator within a preset monitoring period, and extract the trip parameters generated by the elevator within the running trip from the real-time status data.

[0065] The central processing unit can determine the specific trip generated by the elevator in each monitoring period by analyzing the collected real-time status data, such as the speed, position, acceleration, load, etc. of the elevator. Usually, the monitoring period can be set in minutes, such as 1 minute, 3 minutes, 5 minutes, etc. After collecting the real-time status data, the trip parameters generated by the elevator in the running trip can be extracted from the real-time status data. It should be noted that the running trip here refers to the running status of the elevator in a certain running stage.

[0066] In one embodiment, the real-time status data includes at least the car position, running direction, running speed and whether it is in a leveling state. Determine whether the car position changes during the monitoring period. If it changes, it means that the elevator has moved during the monitoring period. At this time, it is necessary to determine whether the corresponding running direction of the elevator has changed to determine the target car position of the elevator. The running stage of the elevator from the initial car position to the target car position is taken as the running stroke during the monitoring period. It should be noted that since the elevator has two running directions, up and down, if the elevator changes its running direction during the monitoring period, the running stroke generated in a single running direction is taken as the running stroke of the elevator. Generally, the stroke before the running direction changes is taken as the running stroke.

[0067] The target car position is used to locate the end position of the running stroke, which is determined by the running direction of the elevator. If the car position changes, it is necessary to further determine whether the running direction of the elevator has changed. If the running direction changes, the change point (i.e., the car position where the running direction changes) is used as the target car position, which means that the elevator has completed the transition from one running direction to another running direction within this collection interval, which may be from up to down, or from down to up. If the running direction of the elevator has not changed, it is necessary to determine whether the elevator is in a leveling state at the end time of the monitoring period. If it is in a leveling state, this usually occurs when the elevator stops at the floor, waits for passengers to get on and off, or makes a safe stop, indicating that the running speed of the elevator is 0. Without considering the subsequent trip, it can be considered that the elevator has completed a running trip within the current monitoring period. At this time, the current car position of the elevator is used as the target car position. If the current running speed of the elevator is not 0, it means that the elevator is still in motion. In this case, since it is impossible to directly obtain the exact position of the elevator at a certain moment in the future, the car position before the current car position of the elevator is approximately used as the target car position.

[0068] In one embodiment, after determining the running stroke of the elevator, it is necessary to extract the stroke parameters corresponding to the running stroke from the collected real-time status data according to the running stroke. Among them, the real-time status data also includes the running time, and the stroke parameters include but are not limited to the cumulative running distance and the cumulative number of starts and stops of the elevator. The distance from the initial car position to the target car position of the elevator is taken as the cumulative running distance of the elevator within the running stroke, and the ratio between the cumulative running distance and the running time is calculated. According to the ratio and the running speed, the corresponding cumulative number of starts and stops of the elevator is determined. The cumulative running distance and the cumulative number of starts and stops obtained by the above calculation are the stroke parameters generated by the elevator.

[0069] S103: Calculate the corresponding operating energy consumption and operating efficiency of the elevator within the operating range according to the travel parameters.

[0070] During the operation of the elevator, in order to have a more comprehensive understanding of its energy consumption and evaluate its operating efficiency, it is necessary to further calculate the elevator's operating energy consumption and operating efficiency based on real-time status data and the parameters mentioned above, such as the cumulative operating distance and the cumulative number of starts and stops.

[0071] Specifically, determine the unit operating energy consumption of the elevator during stable operation, as well as the kinetic energy consumption generated during start-up and stop. Unit operating energy consumption refers to the electrical energy consumed for each certain distance moved when the elevator is in stable operation, which can be obtained through experimental measurement or by referring to the data provided by the elevator manufacturer. Kinetic energy consumption refers to the kinetic energy loss caused by speed changes during the start-up and stop process of the elevator. This part of energy is usually converted into heat energy or other forms of energy and is no longer used for the operation of the elevator. Kinetic energy consumption can be calculated using physical formulas and is related to factors such as the mass of the elevator and the amount of speed change.

[0072] Multiply the unit operating energy consumption by the operating time to obtain the total electric energy consumed by the elevator during the stable operation stage, that is, the first product. Multiply the kinetic energy consumption by the cumulative number of starts and stops to obtain the total electric energy consumed by the elevator during the start and stop process, that is, the second product. Add the first product and the second product to obtain the total electric energy consumed by the elevator in the entire operating range, that is, the operating energy consumption. Compare the actual operating speed of the elevator with the rated speed of the elevator to obtain the speed difference, and divide the speed difference by the rated speed to obtain the ratio between the speed difference and the rated speed. Preset an efficiency threshold, which can be set according to the design requirements, industry standards or actual needs of the elevator. The difference between the preset value and the calculated ratio is used as the operating efficiency of the elevator.

[0073] S104: According to the operating energy consumption and operating efficiency in different monitoring periods, corresponding operating energy consumption curves and operating efficiency curves are obtained by fitting.

[0074] In order to more intuitively understand the changes in energy consumption and efficiency of the elevator in different collection intervals, based on the previously calculated operating energy consumption and operating efficiency data, mathematical or statistical methods are used to fit the corresponding operating energy consumption curve and operating efficiency curve.

[0075] S105: Determine an operation balance coefficient corresponding to the elevator according to the operation energy consumption curve and the operation efficiency curve, so as to achieve a balance between the operation energy consumption and the operation efficiency through the operation balance coefficient.

[0076] In the operation of the elevator, operating energy consumption and operating efficiency are two crucial indicators. In order to achieve a balance between these two indicators, the corresponding operating balance coefficient of the elevator can be determined by fitting the operating energy consumption curve and the operating efficiency curve. The operating balance coefficient is a comprehensive indicator that takes into account the operating energy consumption and operating efficiency of the elevator, aiming to find a balance point so that the elevator can reduce energy consumption as much as possible while maintaining efficient operation.

[0077] In one embodiment, by observing the operating energy consumption curve and the operating efficiency curve, it can be determined whether there is an intersection between the operating energy consumption curve and the operating efficiency curve. The intersection represents a certain balance state between the energy consumption and efficiency of the elevator during operation. If the two curves have an intersection, it is necessary to obtain the operating energy consumption value and the operating efficiency value corresponding to these intersections. For each intersection, calculate the ratio between the corresponding operating energy consumption value and the operating efficiency value. This ratio is the operating balance coefficient corresponding to the elevator, which reflects the operating energy consumption consumed per unit operating efficiency at the intersection, that is, the state of the elevator when it reaches a balance between energy consumption and efficiency. If the number of curve intersections is greater than 1, it is necessary to calculate the mean between the corresponding ratios of these intersections, and the final mean is the operating balance coefficient corresponding to the elevator.

[0078] In one embodiment, if there is no intersection between the operating energy consumption curve and the operating efficiency curve, it means that under direct observation, it is impossible to find a clear balance point to achieve the best energy consumption and efficiency at the same time. In this case, an approximate balance area can be found by analyzing the operating difference of the two curves at the same time point, and the operating balance coefficient of the elevator can be calculated accordingly.

[0079] Specifically, for each time point on the operating energy consumption curve and the operating efficiency curve, the operating difference between them is calculated. The operating difference is expressed as a relative difference or degree of deviation between the operating energy consumption and the operating efficiency at the same time point. Based on the calculated operating difference, at least one curve balance area is generated. The curve balance area includes those time points with relatively small operating differences, that is, at these time points, the relative difference between the operating energy consumption and the operating efficiency is small. The specific shape and size of the balance area can be determined according to the distribution of the operating difference and actual needs. For example, a continuous time period with the smallest operating difference can be selected as the balance area, or multiple balance areas can be divided according to the threshold of the operating difference. In the determined curve balance area, the ratio between the corresponding operating energy consumption value and the operating efficiency value at each time point is calculated, and this ratio is the corresponding operating balance coefficient of the elevator.

[0080] If there are multiple curve balance areas, it is necessary to calculate the operation balance coefficient for each balance area separately, and assign a weight coefficient to it according to the number of time points in each balance area. The number of time points is positively correlated with the weight coefficient, that is, the more time points a balance area has, the greater its weight coefficient. By weighted summing the operation balance coefficients of each curve balance area according to the weight coefficient, the corresponding operation balance coefficient of the elevator can be obtained.

[0081] The operation balance coefficient can be used to evaluate the energy efficiency balance of the elevator under different operating conditions. If the operation balance coefficient is high, it means that more operation energy consumption is required to obtain unit operation efficiency, and optimization may be required to reduce energy consumption. If the operation balance coefficient is low, it means that the elevator maintains high efficiency while consuming relatively low energy, which is a relatively ideal state.

[0082] The above are embodiments of the method proposed in this application. Based on the same idea, some embodiments of this application also provide devices and non-volatile computer storage media corresponding to the above methods.

[0083] Figure 2 The present invention provides a schematic diagram of a structure of an operation analysis device based on the real-time operation status of an elevator. Figure 2 As shown, including:

[0084] at least one processor; and,

[0085] at least one processor is communicatively connected to a memory; wherein,

[0086] The memory stores instructions that can be executed by at least one processor, and the instructions are executed by at least one processor so that the at least one processor can execute an operation analysis method based on the real-time operation status of an elevator as described in any one of the above items.

[0087] An embodiment of the present application provides a non-volatile computer storage medium storing computer executable instructions, wherein the computer executable instructions are configured as an operation analysis method based on the real-time operation status of an elevator as described in any one of the above items.

[0088] Each embodiment in this application is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the device and medium embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiments.

[0089] The devices and media provided in the embodiments of the present application correspond one-to-one to the methods. Therefore, the devices and media also have similar beneficial technical effects as the corresponding methods. Since the beneficial technical effects of the methods have been described in detail above, the beneficial technical effects of the devices and media will not be repeated here.

[0090] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented in one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that include computer-usable program code.

[0091] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0092] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0093] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0094] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0095] The memory may include non-permanent storage in a computer-readable medium, random access memory (RAM) and / or non-volatile memory in the form of read-only memory (ROM) or flash RAM. The memory is an example of a computer-readable medium.

[0096] Computer readable media include permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology to store information. Information can be computer readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include temporary computer readable media (transitory media), such as modulated data signals and carrier waves.

[0097] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.

[0098] The above is only an embodiment of the present application and is not intended to limit the present application. For those skilled in the art, the present application may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.

Claims

1. An operation analysis method based on the real-time operation status of an elevator, characterized in that: The method comprises: The real-time status data generated by the elevator during operation is collected by sensors installed in key operating components of the elevator; Determine the running trip corresponding to the elevator within a preset monitoring period, and extract the trip parameters generated by the elevator within the running trip from the real-time status data; Calculate the operating energy consumption and operating efficiency of the elevator within the operating range according to the travel parameters; According to the operating energy consumption and the operating efficiency in different monitoring periods, corresponding operating energy consumption curves and operating efficiency curves are obtained by fitting; An operation balance coefficient corresponding to the elevator is determined according to the operation energy consumption curve and the operation efficiency curve, so as to achieve a balance between the operation energy consumption and the operation efficiency through the operation balance coefficient.

2. The operation analysis method based on the real-time operation status of an elevator according to claim 1, characterized in that: Determine the running itinerary of the elevator within the preset monitoring period, specifically including: The real-time status data at least includes the car position, running direction, running speed and whether it is in a leveling state; determining whether the position of the car changes during the monitoring period; If so, determining whether the running direction corresponding to the elevator has changed, so as to determine the target car position of the elevator according to the running direction; The operation phase of the elevator from the initial car position to the target car position within the monitoring period is taken as the operation stroke within the monitoring period.

3. The operation analysis method based on the real-time operation status of an elevator according to claim 2, characterized in that: Determining whether the running direction corresponding to the elevator changes to determine the target car position of the elevator specifically includes: When the running direction corresponding to the elevator changes, determining the car position of which the running direction changes as the target car position; When the running direction corresponding to the elevator does not change, determining whether the elevator is in a leveling state at the end time of the monitoring period; If so, the current car position of the elevator is used as the target car position; if not, the previous car position of the current car position is used as the target car position.

4. The operation analysis method based on the real-time operation status of an elevator according to claim 2, characterized in that: Extracting the travel parameters generated by the elevator in the running travel from the real-time status data specifically includes: The real-time status data also includes running time; Taking the distance between the initial car position and the target car position of the elevator as the cumulative running distance of the elevator within the running stroke; Calculating the ratio between the cumulative running distance and the running time, and determining the corresponding cumulative number of starts and stops of the elevator according to the ratio and the running speed; The accumulated running distance and the accumulated start and stop times are used as the travel parameters generated by the elevator.

5. The operation analysis method based on the real-time operation status of an elevator according to claim 4, characterized in that: Calculating the operating energy consumption and operating efficiency of the elevator within the operating stroke according to the stroke parameters specifically includes: Determine the unit operating energy consumption of the elevator during stable operation, and the kinetic energy consumption generated during start-up and stop; Calculating a first product between the unit operating energy consumption and the operating time, and a second product between the kinetic energy consumption and the accumulated number of starts and stops; Adding the first product and the second product to obtain the running energy consumption of the elevator within the running range; The running speed is compared with the rated speed of the elevator to determine the speed difference between the running speed and the rated speed, the ratio between the speed difference and the rated speed is determined, and the difference between a preset value and the ratio is used as the running efficiency of the elevator.

6. The operation analysis method based on the real-time operation status of an elevator according to claim 1, characterized in that: Determining the operation balance coefficient corresponding to the elevator according to the operation energy consumption curve and the operation efficiency curve specifically includes: Determining whether there is an intersection between the operating energy consumption curve and the operating efficiency curve; If yes, obtain the operation energy consumption value and the operation efficiency value corresponding to the intersection, calculate the ratio between the operation energy consumption value and the operation efficiency value, and use the ratio as the operation balance coefficient corresponding to the elevator; When the number of the intersection points is greater than 1, the average of the ratios corresponding to the intersection points is used as the operation balance coefficient corresponding to the elevator.

7. The operation analysis method based on the real-time operation status of an elevator according to claim 6, characterized in that: After determining whether there is an intersection between the operating energy consumption curve and the operating efficiency curve, the method further includes: In the case where there is no intersection between the operating energy consumption curve and the operating efficiency curve, determining an operating difference between the operating energy consumption curve and the operating efficiency curve at the same time point, and generating at least one curve balance area according to the operating difference; The ratio between the operation energy consumption value and the operation efficiency value corresponding to each time point in the balance area of ​​the curve is determined, and the operation balance coefficient corresponding to the elevator is determined according to the ratio.

8. The operation analysis method based on the real-time operation status of an elevator according to claim 7, characterized in that: According to the ratio, the operation balance coefficient corresponding to the elevator is calculated, specifically including: In the case where there are multiple curve balance areas, the operation balance coefficient corresponding to the curve balance area is calculated, and the corresponding weight coefficient is allocated to the curve balance area according to the number of time points existing in the curve balance area; wherein the number of time points is positively correlated with the weight coefficient; The operation balance coefficient of each curve balance area is weighted and summed according to the weight coefficient to obtain the operation balance coefficient corresponding to the elevator.

9. An operation analysis device based on the real-time operation status of an elevator, characterized in that: The device comprises: at least one processor; and, a memory communicatively coupled to the at least one processor; Wherein, the memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute an operation analysis method based on the real-time operation status of an elevator as described in any one of claims 1-8.

10. A non-volatile computer storage medium storing computer executable instructions, characterized in that: The computer executable instructions are configured to: An operation analysis method based on the real-time operation status of an elevator as described in any one of claims 1 to 8.

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