Elevator priority dispatching control method and system based on operation data

Abstract

The present invention belongs to the field of data processing and adaptive control technology, and proposes an elevator priority dispatch control method and system based on operation data. Specifically, the method comprises the following steps: first, a thermal imager and a voltage sensor are arranged in the elevator operation scene, the temperature curve is recorded by the thermal imager, and the excitation current curve is recorded in real time by the voltage sensor. Then, the impact loss risk of the current operation state is determined by the temperature curve and the excitation current curve. Finally, the priority of the elevator dispatch strategy is determined based on the impact loss risk. The method effectively quantifies the degree of magnetic fatigue induction caused by the electromagnetic brake's inability to accurately judge the actual elevator stop timing when executing a variable speed dispatch mode with adaptive speed adjustment for passenger load, effectively reduces the risk of irreversible hysteresis loss, thereby increasing the service life of the electromagnetic brake in the elevator, preventing the gradual accumulation of energy consumption during elevator operation, and ensuring the safety of passengers during elevator operation.

Description

Technical Field

[0001] The present invention belongs to the technical field of data processing and adaptive control, and in particular relates to an elevator priority dispatching control method and system based on operation data. Background Art

[0002] Passenger waiting time is a key scheduling metric in elevator scheduling. Therefore, modern intelligent elevator designs utilize scheduling strategies that respond more efficiently to waiting times. These include faster speeds when the elevator is unloaded and slower speeds when fully loaded or occupied. This increases the elevator's speed when the car is empty or detects a low weight. Adaptive speed regulation enables faster responses to boarding requests and improves passenger transport efficiency, particularly during peak hours or when there are many floors. This allows for more passengers to be transported within a limited timeframe, while allowing for quicker return to the ground floor or main floor during off-peak hours. This variable speed operation based on passenger load is achieved by using a variable frequency drive to adjust the motor's torque and speed to achieve smooth acceleration and deceleration. The electromagnetic brake's spring pushes the friction plate against the brake disc, stopping the traction motor and keeping the elevator stationary. However, in practical applications, such variable-speed smart elevators are prone to increasing power consumption after prolonged operation. This power consumption is related to the wear of the electromagnetic brake's electromagnetic material. Because the motor speed is dynamically adjusted based on actual elevator demand and passenger load, the elevator's actual speed and acceleration curves are subject to varying degrees of interference from the variable frequency drive, making it difficult for the electromagnetic brake to accurately determine the actual elevator stop timing. Often, the electromagnetic brake engages before the elevator has fully stopped. The resulting stop shock causes heat accumulation and thermal expansion, while also leading to magnetic fatigue and irreversible hysteresis loss in the electromagnetic brake's ferromagnetic material. This accumulated hysteresis loss prevents the brake from fully releasing after prolonged operation, significantly increasing the additional frictional resistance during elevator startup and causing the aforementioned increase in motor power consumption. In addition to increasing motor power consumption, hysteresis loss can also cause elevator slippage, posing a safety threat to passenger safety. Frequent start-stop operations in high-rise buildings can even lead to misaligned parking positions. Summary of the Invention

[0003] The purpose of the present invention is to propose an elevator priority dispatch control method and system based on operation data to solve one or more technical problems existing in the prior art and at least provide a beneficial option or create conditions.

[0004] In order to achieve the above object, according to one aspect of the present invention, a method for elevator priority dispatching control based on operation data is provided, the method comprising the following steps:

[0005] Thermal imagers and voltage sensors are placed in the elevator operation scene. The temperature curve is recorded with the thermal imager, and the excitation current curve is recorded in real time with the voltage sensor. The impact loss risk of the current operating state is determined by the temperature curve and the excitation current curve. Based on the impact loss risk, it is determined whether to change the priority of the elevator scheduling strategy.

[0006] Furthermore, the method of arranging thermal imagers and voltage sensors in the elevator operation scene is: installing the thermal imager directly opposite the traction machine in the elevator machine room to monitor the electromagnetic brake; connecting a low-resistance shunt resistor in series in the excitation circuit of the electromagnetic brake, and monitoring the current in real time by measuring the voltage drop across the resistor.

[0007] The thermal imager used is a microbolometer by default, and the excitation circuit refers to the excitation coil. The current is measured through voltage drop and resistance according to Ohm's law.

[0008] Furthermore, a method for recording a temperature curve using a thermal imager and recording an excitation current curve in real time using a voltage sensor is as follows: a speed value is read from an IMU inertial measurement module in real time, a time scale at which the speed value drops to 0 is recorded as a stop point, a time period is preset as a stop domain dpr, a stop period value range is 5-20 seconds, and a union of a time period of the stop point in the forward time direction dpr and a time period in the reverse time direction dpr is recorded as a stop segment;

[0009] The temperature values ​​measured by the thermal imager in the docking section are sequenced to construct a temperature curve, and the current values ​​measured by the thermal imager in the docking section are sequenced to construct an excitation current curve. Each docking section is recorded as a docking node.

[0010] It's important to note that the stopping point is not the moment when the velocity value is zero, but rather the moment when the velocity value transitions from non-zero to zero. The IMU inertial measurement module includes a velocity sensor and an acceleration sensor, which are commonly used to monitor and record elevator operating status. The method used to construct temperature and excitation current curves using sequences uses spline interpolation.

[0011] Furthermore, the method for judging the impact loss risk of the current operating state by the temperature curve and the excitation current curve is as follows: the monitoring period WETH is a preset time period, WETH∈[10,30] minutes;

[0012] During the current monitoring period, a temperature curve and an excitation current curve are obtained once for each docking node;

[0013] During the monitoring period, the average interval between docking nodes is recorded as the mean docking interval; the docking overflow rate of a docking node is defined as the ratio of its docking interval to the mean docking interval;

[0014] Specifically, the calculation process of the mean stop interval and the stop overflow rate is as follows: the time interval between any stop node and its first stop node in the reverse time direction is recorded as the stop interval, and the average of all stop intervals is recorded as the stop interval mean; for any stop node, the ratio of the stop interval to the mean stop interval is recorded as the stop overflow rate;

[0015] The calculation principle of the docking overflow rate is: by tracking the docking intervals between various docking nodes within a short period of time, it can capture the heat accumulation caused by frequent docking in a short period of time. It can effectively quantify the hysteresis loss of current and the risk of abnormal temperature increase. It can further accurately predict the actual elevator demand and passenger status, realize dynamic adjustment, and reduce the wear risk of electromagnetic brakes.

[0016] The docking nodes with a docking overflow rate less than 1 are recorded as strong-influence nodes, and the rest are recorded as weak-influence nodes. The range of the excitation current curve is the excitation current amplitude, where the range of the current value refers to the difference between the maximum and minimum values ​​of each fitted current value in the excitation current curve.

[0017] The upper quartile of all excitation current amplitudes during the monitoring period is the upper control limit of the current amplitude; when the excitation current amplitude of a weakly influenced node is greater than the upper control limit of the current amplitude, it is re-recorded as a strongly influenced node; the maximum value of the temperature curve is recorded as the temperature peak, the Euclidean distance between the temperature peak of any docking node and its previous docking node is recorded as the docking temperature difference, and the ratio of the docking temperature difference to the docking interval is recorded as the docking temperature rise rate; the minimum value of the docking temperature rise rates corresponding to all strongly influenced nodes is recorded as the temperature rise rate threshold; for any weakly influenced node, if it is adjacent to a strongly influenced node and the docking temperature rise rate is greater than the temperature rise rate threshold, the docking node is recorded as a strongly influenced node;

[0018] For the current docking node, if the proportion of strongly influencing nodes during the monitoring period exceeds the impact threshold, the docking node is at risk of impact loss. The impact threshold range is 75%-85%. Otherwise, there is no impact loss risk.

[0019] The previous one between any docking node and its previous docking node refers to the first docking node in the reverse time direction. The current docking node refers to the docking node closest to the current time.

[0020] However, the above-mentioned impact loss risk is obtained by the stop overflow rate and the excitation current amplitude corresponding to each stop node. The stop overflow rate is calculated based on the stop interval between each stop node in a short period of time, and the stop overflow rate accurately quantifies the hysteresis loss of the short-time current and the risk of abnormal temperature increase. Therefore, the stop overflow rate can be used to characterize the impact loss risk within a certain period of time, helping to quickly evaluate the actual elevator stop timing, so as to accurately judge the actual elevator demand and passenger status. However, since the stop overflow rate only relies on the number of stops within a certain time window to measure the rapid accumulation characteristics of temperature, it will cause some stop nodes to ignore the time dependence of temperature lag, reducing the monitoring accuracy. In order to more accurately obtain the temperature accumulation effect and hysteresis loss of each stop node, the present invention proposes a more preferred solution;

[0021] Preferably, the method for judging the impact loss risk of the current operating state by the temperature curve and the excitation current curve is as follows: the monitoring period WETH is a preset time period, WETH∈[10,30] minutes; the temperature curve and the excitation current curve are obtained once for each docking node within the current monitoring period;

[0022] The definite integral of the temperature curve over the corresponding time period is called the temperature accumulation value Prtmu. The average of the temperature accumulation values ​​of all docked nodes is called the temperature accumulation mean. For any docked node, if the maximum value of the temperature accumulation values ​​of two consecutive docked nodes in the reverse time direction is less than the temperature accumulation mean, the temperature accumulation values ​​corresponding to these two consecutive docked nodes are updated to the temperature accumulation mean. The time interval between the docked node and the first docked node in the reverse time direction is called the interval docking interval Ervop.

[0023] For the current docking node, the temperature accumulation factor Tpald is calculated based on the temperature accumulation value and the interval docking interval:

[0024] ;

[0025] Where i is the cumulative variable, Prtmu0 is the temperature accumulation value corresponding to the second docking node in the reverse time direction of the current docking node, Prtmu1 and Ervop1 are the temperature accumulation value and interval docking interval corresponding to the first docking node in the reverse time direction of the current docking node, respectively, and Prtmu2 and Ervop2 are the temperature accumulation value and interval docking interval corresponding to the current docking node, respectively;

[0026] The calculation principle of the temperature accumulation factor is as follows: by capturing the time dependence of temperature accumulation and introducing the temperature accumulation values ​​of adjacent docking nodes to accurately characterize the heat accumulation and thermal expansion of the current docking node during the braking process, and at the same time quantifying the intensity of temperature accumulation hysteresis based on the docking interval, the actual elevator docking timing can be accurately predicted and dynamic adjustments can be made in a timely manner;

[0027] For any docking node, set the time interval DRAZ∈[0.5,1.5] seconds, take the initial time point of the time period corresponding to the docking node as the initial moment, divide the time period corresponding to the docking node into several time intervals according to the time interval DRAZ and record them as current intervals, calculate the rate of change of the current value of the excitation current curve in the current interval, record the maximum value of the rate of change as the current oscillation extreme value; record the interquartile range of all current oscillation extreme values ​​as the current amplitude; for any docking node, record the absolute value of the difference between the current oscillation extreme value and the first docking node in the reverse time direction as the interval current extreme difference. If the interval current extreme difference is greater than the current amplitude, then record the maximum value of all current oscillation extreme values ​​as the current excitation loss Hsrne of the docking node. Otherwise, the current oscillation extreme value of the docking node replaces the current excitation loss.

[0028] The calculation principle of current excitation loss is to extract the rate of change of the current value in a short period of time, capture abnormal fluctuations in the current value, further reflect the rationality of the timing of electromagnetic brake intervention, warn of potential risks at the current docking node, and provide a reference for adjusting subsequent scheduling strategies. Ultimately, it reduces the risk of additional friction resistance and electromagnetic brake loss during elevator startup.

[0029] For the current docking node, the impact risk value Soski is calculated based on the temperature accumulation factor and current excitation loss: Soski=(1+exp(-Hsrne / Tpald)) -0.5 ;

[0030] If the impact risk value corresponding to the current docking node is greater than 0.7, then the docking node has an impact loss risk; otherwise, there is no impact loss risk; where exp() is an exponential function with the natural constant e as the base.

[0031] Beneficial effects: Since the impact loss risk is calculated based on the collected operating data of the temperature curve and the excitation current curve, it can effectively quantify the degree of magnetic fatigue induction caused by the impact event caused by the electromagnetic brake's inability to accurately judge the actual timing of the elevator stop due to the constant changes in the elevator demand and passenger status in the variable speed scheduling mode with adaptive speed adjustment of the passenger load, and identify the risks, thereby providing a basis for further reducing the probability of magnetic fatigue occurrence, especially during the peak period of elevator operation, and effectively reducing the risk of irreversible hysteresis loss.

[0032] Furthermore, a method for determining whether to change the priority of the elevator scheduling strategy based on the impact loss risk is as follows: the elevator master control system presets two elevator scheduling strategies, including a variable speed scheduling mode that adaptively adjusts the speed according to the passenger load, and a fixed speed scheduling mode; the variable speed scheduling mode is enabled by default, and when an impact loss risk occurs in any stop node, the elevator scheduling strategy is adjusted to the fixed speed scheduling mode, and the impact loss risk is fed back to the administrator client.

[0033] Among them, the constant speed dispatch mode is the conventional preset method. The difference between the variable speed dispatch mode and the constant speed dispatch mode is that the variable speed dispatch mode uses variable frequency speed regulation to drive the motor, and achieves smooth acceleration and deceleration by adjusting the motor voltage and frequency. The constant speed dispatch mode uses industrial frequency drive, the motor running speed is fixed, and relies on traditional relay control.

[0034] When the elevator idle time reaches 10-20 minutes, the elevator scheduling strategy is readjusted to a variable speed scheduling mode with adaptive speed adjustment according to the passenger load; it is believed that the impact loss risk is alleviated, and the electromagnetic brake is cooled and recovered to adapt to a small amount of impact.

[0035] This dispatching method identifies the risk of magnetic fatigue caused by impact events during the operation of the variable speed dispatching mode, and prevents irreversible hysteresis loss caused by the accumulation of magnetic fatigue bands in a short period of time. Therefore, this method is a process of selecting the priority of the elevator dispatching strategy.

[0036] Preferably, all undefined variables in the present invention, if not clearly defined, can be manually set thresholds.

[0037] The present invention also provides an elevator priority dispatching control system based on operation data, the elevator priority dispatching control system based on operation data comprising: a processor, a memory, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the steps of the elevator priority dispatching control method based on operation data are implemented, and the elevator priority dispatching control system based on operation data can be run on a computing device such as a desktop computer, a laptop computer, a PDA, or a cloud data center, and the executable system may include, but is not limited to, a processor, a memory, and a server cluster, and the processor executes the computer program to run in the following system units:

[0038] A sensor placement unit, used to place thermal imagers and voltage sensors in an elevator operation scene;

[0039] A curve data acquisition unit is used to record the temperature curve using a thermal imager and to record the exciting current curve in real time using a voltage sensor;

[0040] Impact loss identification unit, used to judge the impact loss risk of the current operating state through temperature curve and excitation current curve;

[0041] The priority dispatch control unit is used to determine whether to change the priority of the elevator dispatch strategy based on the impact loss risk.

[0042] The beneficial effects of the present invention are as follows: the present invention provides an elevator priority scheduling control method and system based on operation data. Since the impact loss risk is calculated based on the operation data aggregated from the temperature curve and the excitation current curve, it can effectively quantify the degree of magnetic fatigue induction caused by the impact event caused by the electromagnetic brake being unable to make an accurate judgment on the actual elevator stop timing due to the constant changes in the elevator demand and passenger status in the variable speed scheduling mode of the passenger load adaptive speed adjustment, and perform risk identification, thereby reducing the probability of magnetic fatigue occurrence, especially during the peak period of elevator operation, which can effectively reduce the risk of irreversible hysteresis loss, thereby increasing the service life of the electromagnetic brake in the elevator, preventing the problem of gradually accumulated energy consumption during elevator operation, and ensuring the safety of passengers in the stop mission during elevator operation. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] The above and other features of the present invention will become more apparent through a detailed description of the embodiments shown in conjunction with the accompanying drawings. In the drawings of the present invention, the same reference numerals represent the same or similar elements. Obviously, the drawings described below are only some embodiments of the present invention. It is possible for a person skilled in the art to derive other drawings based on these drawings without inventive effort. In the drawings:

[0044] Figure 1 Shown is a flow chart of an elevator priority dispatch control method based on operation data;

[0045] Figure 2 The figure shows a structural diagram of an elevator priority dispatching control system based on operation data. DETAILED DESCRIPTION

[0046] The following will be combined with the embodiments and drawings to clearly and completely describe the concept, specific structure and technical effects of the present invention so as to fully understand the purpose, scheme and effect of the present invention. It should be noted that the embodiments and features in the embodiments of this application can be combined with each other unless there is a conflict.

[0047] like Figure 1 The figure shows a flow chart of an elevator priority dispatch control method based on operation data. Figure 1To illustrate an elevator priority dispatching control method based on operation data according to an embodiment of the present invention, the method comprises the following steps:

[0048] Thermal imagers and voltage sensors are placed in the elevator operation scene. The temperature curve is recorded with the thermal imager, and the excitation current curve is recorded in real time with the voltage sensor. The impact loss risk of the current operating state is determined by the temperature curve and the excitation current curve. Based on the impact loss risk, it is determined whether to change the priority of the elevator scheduling strategy.

[0049] Furthermore, the method of arranging thermal imagers and voltage sensors in the elevator operation scene is: installing the thermal imager directly opposite the traction machine in the elevator machine room to monitor the electromagnetic brake; connecting a low-resistance shunt resistor in series in the excitation circuit of the electromagnetic brake, and monitoring the current in real time by measuring the voltage drop across the resistor.

[0050] The thermal imager used is a microbolometer.

[0051] Furthermore, a method for recording the temperature curve using a thermal imager and the exciting current curve in real time using a voltage sensor is as follows: the speed value is read in real time from the IMU inertial measurement module, the time scale when the speed value drops to 0 m / s is recorded as the docking point, a time period is preset as the docking domain dpr, the docking period is set to 10 seconds, and the union of the time period of the docking point in the forward time direction dpr and the time period in the reverse time direction dpr is recorded as the docking segment;

[0052] The temperature values ​​measured by the thermal imager in the docking section are sequenced to construct a temperature curve, and the current values ​​measured by the thermal imager in the docking section are sequenced to construct an excitation current curve. Each docking section is recorded as a docking node.

[0053] Furthermore, the method for determining the impact loss risk of the current operating state through the temperature curve and the excitation current curve is as follows: the monitoring period WETH is a preset time period, and WETH is set to 15 minutes; within the monitoring period, the average interval between docking nodes is recorded as the mean docking interval; the docking overflow rate of a docking node is defined as the ratio of its docking interval to the mean docking interval;

[0054] Specifically, the calculation process of the mean stop interval and the stop overflow rate is as follows: the time interval between any stop node and its first stop node in the reverse time direction is recorded as the stop interval, and the average of all stop intervals is recorded as the stop interval mean; for any stop node, the ratio of the stop interval to the mean stop interval is recorded as the stop overflow rate;

[0055] The docking nodes with a docking overflow rate less than 1 are recorded as strong-influence nodes, and the rest are recorded as weak-influence nodes. The range of the excitation current curve is the excitation current amplitude, where the range of the current value refers to the difference between the maximum and minimum values ​​of each fitted current value in the excitation current curve.

[0056] The upper quartile of all excitation current amplitudes during the monitoring period is the upper control limit of the current amplitude; when the excitation current amplitude of a weakly influenced node is greater than the upper control limit of the current amplitude, it is re-recorded as a strongly influenced node; the maximum value of the temperature curve is recorded as the temperature peak, the Euclidean distance between the temperature peak of any docking node and its previous docking node is recorded as the docking temperature difference, and the ratio of the docking temperature difference to the docking interval is recorded as the docking temperature rise rate; the minimum value of the docking temperature rise rates corresponding to all strongly influenced nodes is recorded as the temperature rise rate threshold; for any weakly influenced node, if it is adjacent to a strongly influenced node and the docking temperature rise rate is greater than the temperature rise rate threshold, the docking node is recorded as a strongly influenced node;

[0057] For the current docking node, if the proportion of strongly influencing nodes during the monitoring period exceeds the impact threshold, the docking node is at risk of impact loss. The impact threshold range is 85%. Otherwise, there is no impact loss risk.

[0058] The previous one between any docking node and its previous docking node refers to the first docking node in the reverse time direction. The current docking node refers to the docking node closest to the current time.

[0059] Preferably, the method for judging the impact loss risk of the current operating state by the temperature curve and the excitation current curve is: the monitoring period WETH is a preset time period, and the value of WETH is 15 minutes;

[0060] The definite integral of the temperature curve over the corresponding time period is called the temperature accumulation value Prtmu. The average of the temperature accumulation values ​​of all docked nodes is called the temperature accumulation mean. For any docked node, if the maximum value of the temperature accumulation values ​​of two consecutive docked nodes in the reverse time direction is less than the temperature accumulation mean, the temperature accumulation values ​​corresponding to these two consecutive docked nodes are updated to the temperature accumulation mean. The time interval between the docked node and the first docked node in the reverse time direction is called the interval docking interval Ervop.

[0061] For the current docking node, the temperature accumulation factor Tpald is calculated based on the temperature accumulation value and the interval docking interval:

[0062] ;

[0063] Where i is the cumulative variable, Prtmu0 is the temperature accumulation value corresponding to the second docking node in the reverse time direction of the current docking node, Prtmu1 and Ervop1 are the temperature accumulation value and interval docking interval corresponding to the first docking node in the reverse time direction of the current docking node, respectively, and Prtmu2 and Ervop2 are the temperature accumulation value and interval docking interval corresponding to the current docking node, respectively;

[0064] For any docking node, set the time interval DRAZ to 1 second, take the initial time point of the time period corresponding to the docking node as the initial moment, divide the time period corresponding to the docking node into several time intervals according to the time interval DRAZ and record them as current intervals, calculate the rate of change of the current value of the excitation current curve in the current interval, and record the maximum value of the rate of change as the current oscillation extreme value; record the interquartile range of all current oscillation extreme values ​​as the current amplitude; for any docking node, record the absolute value of the difference between the current oscillation extreme value and the first docking node in the reverse time direction as the interval current extreme difference; if the interval current extreme difference is greater than the current amplitude, then record the maximum value of all current oscillation extreme values ​​as the current excitation loss Hsrne of the docking node; otherwise, the current oscillation extreme value of the docking node replaces the current excitation loss;

[0065] For the current docking node, the impact risk value Soski is calculated based on the temperature accumulation factor and current excitation loss; Soski=(1+exp(-Hsrne / Tpald)) -0.5 ;

[0066] If the impact risk value corresponding to the current docking node is greater than 0.7, then the docking node has impact loss risk; otherwise, there is no impact loss risk;

[0067] Furthermore, a method for determining whether to change the priority of the elevator scheduling strategy based on the impact loss risk is as follows: the elevator master control system presets two elevator scheduling strategies, including a variable speed scheduling mode that adaptively adjusts the speed according to the passenger load, and a fixed speed scheduling mode; the variable speed scheduling mode is enabled by default, and when an impact loss risk occurs in any stop node, the elevator scheduling strategy is adjusted to the fixed speed scheduling mode, and the impact loss risk is fed back to the administrator client.

[0068] When the elevator idle time reaches 15 minutes, the elevator scheduling strategy is readjusted to a variable speed scheduling mode with adaptive speed adjustment according to the passenger load; it is believed that the impact loss risk is alleviated and the electromagnetic brake is cooled and recovered to adapt to a small amount of impact.

[0069] An embodiment of the present invention provides an elevator priority dispatching control system based on operation data, such as Figure 2The figure shows a structural diagram of an elevator priority dispatching control system based on operation data of the present invention. The elevator priority dispatching control system based on operation data of this embodiment includes: a processor, a memory, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps of the above-mentioned embodiment of the elevator priority dispatching control method based on operation data are implemented.

[0070] The system includes: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to run in the following units of the system:

[0071] A sensor placement unit, used to place thermal imagers and voltage sensors in an elevator operation scene;

[0072] A curve data acquisition unit is used to record the temperature curve using a thermal imager and to record the exciting current curve in real time using a voltage sensor;

[0073] Impact loss identification unit, used to judge the impact loss risk of the current operating state through temperature curve and excitation current curve;

[0074] The priority dispatch control unit is used to determine whether to change the priority of the elevator dispatch strategy based on the impact loss risk.

[0075] The operation data-based elevator priority dispatch control system can be run on computing devices such as desktop computers, laptop computers, PDAs, or cloud servers. The operation data-based elevator priority dispatch control system can be operated on systems that include, but are not limited to, processors and memories. Those skilled in the art will appreciate that the example is merely an example of an operation data-based elevator priority dispatch control system and does not constitute a limitation on the entire operation data-based elevator priority dispatch control system. The system can include more or fewer components than the example, or a combination of certain components, or different components. For example, the operation data-based elevator priority dispatch control system can also include input / output devices, network access devices, buses, and the like.

[0076] The processor may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or any conventional processor, etc. The processor is the control center of the operation data-based elevator priority dispatching control system, and utilizes various interfaces and lines to connect various parts of the operation data-based elevator priority dispatching control system.

[0077] The memory can be used to store the computer programs and / or modules. The processor implements the various functions of the operation data-based elevator priority dispatch control system by running or executing the computer programs and / or modules stored in the memory and accessing the data stored in the memory. The memory may primarily include a program storage area and a data storage area. The program storage area may store an operating system and at least one application required for a function (such as a sound playback function or an image playback function); the data storage area may store data generated based on the use of the mobile phone (such as audio data, a phone book, etc.). Furthermore, the memory may include high-speed random access memory and non-volatile memory, such as a hard disk, internal memory, a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, at least one disk storage device, a flash memory device, or other volatile solid-state storage device.

[0078] Although the present invention has been described in considerable detail and with particularity with respect to several embodiments, it is not intended to limit the present invention to any of these details or embodiments or any particular embodiment, so as to effectively encompass the intended scope of the present invention. In addition, the present invention has been described above with respect to embodiments foreseen by the inventors for the purpose of providing a useful description, and those insubstantial modifications of the present invention that are not currently foreseen may still represent equivalent modifications of the present invention.

Claims

1. An elevator priority dispatch control method based on operation data, characterized in that: The method comprises the following steps: placing a thermal imager and a voltage sensor in an elevator operation scene; recording a temperature curve using the thermal imager and recording an excitation current curve in real time using a voltage sensor; determining the impact loss risk of the current operation state based on the temperature curve and the excitation current curve; and determining whether to change the priority of the elevator scheduling strategy based on the impact loss risk. The method of using a thermal imager to record the temperature curve and a voltage sensor to record the excitation current curve in real time is as follows: the speed value is read from the inertial measurement module in real time, the time scale when the speed value drops to 0m / s is recorded as a stop point, a time period is preset as a stop domain, the value range of the stop domain is 5-20 seconds, and the union of the time period in the forward direction and the time period in the reverse direction of the stop point is recorded as a stop segment; A temperature curve is constructed by sequentially forming a time sequence of each temperature value measured by the thermal imager in the stop section, and an excitation current curve is constructed by sequentially forming a time sequence of each current value measured by the voltage sensor in the stop section; The method for judging the impact loss risk of the current operating state through the temperature curve and the excitation current curve is as follows: the average interval between the docking nodes during the monitoring period is recorded as the mean docking interval; the docking overflow rate of the docking node is defined as the ratio of its docking interval to the mean docking interval; the docking nodes with a docking overflow rate less than 1 are recorded as strongly affected nodes, and the others are recorded as weakly affected nodes; the range of the excitation current curve is the excitation current amplitude; The upper quartile of all excitation current amplitudes during the monitoring period is the upper control limit of the current amplitude; when the excitation current amplitude of a weakly influenced node is greater than the upper control limit of the current amplitude, it is re-recorded as a strongly influenced node; the maximum value of the temperature curve is recorded as the temperature peak, the Euclidean distance between the temperature peak of any docking node and its previous docking node is recorded as the docking temperature difference, and the ratio of the docking temperature difference to the docking interval is recorded as the docking temperature rise rate; the minimum value of the docking temperature rise rates corresponding to all strongly influenced nodes is recorded as the temperature rise rate threshold; for any weakly influenced node, if it is adjacent to a strongly influenced node and the docking temperature rise rate is greater than the temperature rise rate threshold, the docking node is recorded as a strongly influenced node; For the current docking node, if the proportion of strongly influential nodes during the monitoring period exceeds the impact threshold, the risk of impact loss is defined. The impact threshold value range is 75%-85%.

2. The elevator priority dispatching control method based on operation data according to claim 1, characterized in that: The method of arranging thermal imagers and voltage sensors in an elevator operation scenario is as follows: the thermal imager is installed directly opposite the traction machine in the elevator machine room to monitor the electromagnetic brake; a low-resistance shunt resistor is connected in series to the excitation circuit of the electromagnetic brake, and the current is monitored in real time by measuring the voltage drop across the resistor.

3. The elevator priority dispatching control method based on operation data according to claim 1, characterized in that: The method for judging the impact loss risk of the current operating state by using the temperature curve and the excitation current curve can be replaced by: the definite integral value of the temperature curve in the corresponding time period is recorded as the temperature accumulation value; the average value of the temperature accumulation values ​​of all docked nodes is recorded as the temperature accumulation mean; for any docked node, if the maximum value of the temperature accumulation values ​​of two consecutive docked nodes in the reverse time direction is less than the temperature accumulation mean, then the temperature accumulation values ​​corresponding to these two consecutive docked nodes are updated to the temperature accumulation mean; the time interval between the docked node and the first docked node in the reverse time direction is recorded as the interval docking interval; For the current docking node, the temperature accumulation factor is calculated based on the temperature accumulation value and the interval docking interval; for any docking node, the time interval DRAZ∈[0.5,1.5] seconds is set, and the initial time point of the time period corresponding to the docking node is taken as the initial moment. The time period corresponding to the docking node is divided into several time intervals according to the time interval and recorded as current intervals. The rate of change of the current value of the excitation current curve in the current interval is calculated, and the maximum value of the rate of change is recorded as the current oscillation extreme value; the interquartile range of all current oscillation extreme values ​​is recorded as the current amplitude; the Euclidean distance between the current oscillation extreme value of the docking node and the first docking node in the reverse time direction is recorded as the interval current range difference. If the interval current range difference is greater than the current amplitude distance, the maximum value of all current oscillation extreme values ​​is recorded as the current excitation loss of the docking node. Otherwise, the current oscillation extreme value of the docking node is used to replace the current excitation loss. The impact risk value of the current docking node is calculated based on the temperature accumulation factor and the current excitation loss; if the impact risk value corresponding to the current docking node is greater than 0.7, the docking node has an impact loss risk.

4. The elevator priority dispatching control method based on operation data according to claim 1, characterized in that: The method for determining whether to change the priority of the elevator dispatching strategy based on the impact loss risk is: the elevator master control system presets two elevator dispatching strategies, including a variable speed dispatching mode that adaptively adjusts the speed according to the passenger load, and a fixed speed dispatching mode; the variable speed dispatching mode is enabled by default, and when the impact loss risk occurs at any stop node, the elevator dispatching strategy is adjusted to the fixed speed dispatching mode, and the impact loss risk is fed back to the administrator client.

5. An elevator priority dispatch control system based on operation data, characterized in that: The elevator priority dispatching control system based on operation data includes: a processor, a memory, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps of the elevator priority dispatching control method based on operation data described in any one of claims 1 to 4 are implemented. The elevator priority dispatching control system based on operation data runs on a desktop computer, a laptop computer, a PDA, or a computing device in a cloud data center.

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