An elevator energy saving control method and system
By acquiring elevator operating status information and analyzing the set of influencing factors, and using a target multiple linear regression model to adjust the carrier frequency, the problem of high elevator energy consumption was solved, achieving a significant reduction in energy consumption during idle periods and improving the stability and safety of elevator operation.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- GUANGZHOU GUANGRI ELEVATOR IND
- Filing Date
- 2023-11-23
- Publication Date
- 2026-05-05
AI Technical Summary
Current elevators still consume a relatively high amount of energy, especially during off-peak hours when energy consumption accounts for a large proportion. Furthermore, carrier frequency adjustment affects the stability and safety of elevator operation.
By acquiring elevator operating status information, analyzing the influencing factors during off-peak and peak hours, and using a target multiple linear regression model to adjust the carrier frequency, elevator energy consumption can be optimized.
While ensuring the smooth and safe operation of the elevator, reduce the elevator's energy consumption, especially significantly reducing energy consumption during idle periods, and extend the life of the frequency converter.
Smart Images

Figure CN117602466B_ABST
Abstract
Description
Technical Field
[0001] This application relates to the field of elevator control technology, and in particular to an elevator energy-saving control method and system. Background Technology
[0002] In the current technology, most of the most advanced energy-saving elevators adopt the principle of variable frequency regenerative energy feedback. During operation, the elevator can convert the mechanical energy generated into DC power through the frequency converter and motor and temporarily store it in the capacitor of the frequency converter. The voltage in the capacitor will gradually increase as the stored energy gradually increases. At this time, the energy feedback device can recover and reuse the electrical energy stored in the capacitor, and use it as a supplementary energy source during the elevator's braking and other operations, thereby achieving energy saving.
[0003] However, in practical applications, elevators still consume a relatively high amount of energy. Summary of the Invention
[0004] This application provides an elevator energy-saving control method and system, which aims to solve the problem that the energy consumption of elevators is still relatively high in practical applications under existing technologies.
[0005] To address the aforementioned technical problems, this application provides an elevator energy-saving control method for a carrier frequency adjustment device, comprising the following steps:
[0006] Obtain elevator operating status information; wherein, the elevator operating status includes idle time status and busy time status;
[0007] Based on the elevator operating status information, an influencing factor set is obtained; wherein, the influencing factor set includes an idle time influencing factor set and a busy time influencing factor set; wherein, the idle time influencing factor set includes the idle time host real-time temperature value and the idle time host real-time noise value; the busy time influencing factor set includes the busy time host real-time temperature value, the busy time elevator frequency converter overload, the busy time elevator real-time vibration value, and the busy time host real-time noise value.
[0008] Based on the set of influencing factors, trend analysis is performed to obtain the influence coefficient value corresponding to each influencing factor; the influence coefficient value corresponding to each influencing factor is input into the trained target multiple linear regression model so that the target multiple linear regression model outputs the target carrier frequency value; wherein, the target carrier frequency value refers to the carrier frequency value with the lowest energy consumption when the elevator is in the current operating state.
[0009] The current carrier frequency value of the elevator is adjusted to the target carrier frequency value to reduce the energy consumption during elevator operation.
[0010] As some optional embodiments of this application, the step of obtaining the influencing factor set based on the elevator operating status information includes:
[0011] If the elevator is in an idle state, the original carrier frequency is lowered to a preset carrier frequency value; and during the process of lowering the original carrier frequency to the preset carrier frequency value, the real-time temperature value and the real-time noise value of the idle host are obtained.
[0012] If the elevator is in a busy operating state, then the real-time temperature value of the main unit, the overload value of the elevator frequency converter, the real-time vibration value of the elevator, and the real-time noise value of the main unit during the busy operating time are obtained.
[0013] As some optional embodiments of this application, the step of performing trend analysis based on the set of influence factors to obtain the influence coefficient value corresponding to each influence factor includes:
[0014] If the elevator is in an idle state, the idle temperature influence coefficient is obtained based on the real-time temperature value of the idle host and the preset maximum idle temperature value; the idle noise influence coefficient is obtained based on the real-time noise value of the idle host and the preset maximum idle noise value.
[0015] If the elevator is in a busy operating state, the busy temperature influence coefficient is obtained based on the real-time temperature value of the main unit during busy hours and the preset maximum temperature value during busy hours; the busy load influence coefficient is obtained based on the elevator frequency converter overload during busy hours and the preset maximum overload during busy hours; and the busy vibration-noise influence coefficient is obtained based on the real-time noise value of the main unit during busy hours and the real-time vibration value of the elevator during busy hours.
[0016] As some optional embodiments of this application, the step of obtaining the idle temperature influence coefficient value based on the idle host real-time temperature value and the preset idle maximum temperature value includes: if the idle host real-time temperature value is lower than the preset idle maximum temperature value, then the original carrier frequency value is increased to obtain a first idle temperature influence coefficient value; if the idle host real-time temperature value is higher than the preset idle maximum temperature value, then the original carrier frequency value is decreased to obtain a second idle temperature influence coefficient value.
[0017] The step of obtaining the busy-hour temperature influence coefficient value based on the real-time temperature value of the busy host and the preset maximum busy-hour temperature value includes: if the real-time temperature value of the busy host is lower than the preset maximum busy-hour temperature value, then the current carrier frequency value is increased and a first busy-hour temperature influence coefficient value is obtained; if the real-time temperature value of the busy host is higher than the preset maximum busy-hour temperature value, then the current carrier frequency value is decreased and a second busy-hour temperature influence coefficient value is obtained.
[0018] As some optional embodiments of this application, the step of obtaining the idle noise influence coefficient value based on the idle host's real-time noise value and the preset idle maximum noise value includes:
[0019] If the real-time noise value of the idle host is greater than the preset maximum idle noise value, the current carrier frequency value is increased, and the first idle noise influence coefficient value is obtained.
[0020] If the real-time noise value of the idle host is less than the preset maximum idle noise value, the current carrier frequency value is downgraded, and a second idle noise influence coefficient value is obtained.
[0021] As some optional embodiments of this application, the step of obtaining the load influence coefficient value based on the elevator frequency converter overload and the preset maximum overload includes:
[0022] Subtract the preset maximum overload from the elevator frequency converter overload to obtain the difference between the two; divide the difference between the two by the preset maximum overload to obtain the ratio of the difference.
[0023] If the phase difference ratio reaches the first preset ratio, the original carrier frequency value will be downgraded.
[0024] During the downsizing process, if the phase difference ratio reaches the second preset ratio, the current carrier frequency value is adjusted back to the original carrier frequency, and the second load influence coefficient value is obtained.
[0025] As some optional embodiments of this application, before the step of obtaining the peak hour vibration-noise influence coefficient value based on the peak hour host real-time noise value and the peak hour elevator real-time vibration value, the method further includes:
[0026] Before the elevator starts, the original carrier frequency value is down-adjusted. During the down-adjustment process, the host noise value and elevator vibration value are detected in real time to obtain the real-time host noise value and the real-time elevator vibration value during busy hours.
[0027] As some optional embodiments of this application, the step of obtaining the peak-hour vibration-noise influence coefficient value based on the peak-hour host real-time noise value and the peak-hour elevator real-time vibration value includes:
[0028] If the real-time noise value of the busy-hour host exceeds the preset busy-hour noise value, the current carrier frequency value will be increased to obtain the start adjustment frequency value.
[0029] When the elevator enters a busy period, the starting adjustment frequency value is increased until the real-time vibration value of the elevator in the Z direction is lower than the preset busy period vibration value, thus obtaining the busy period vibration-noise influence coefficient value.
[0030] As some optional embodiments of this application, the target multiple linear regression model is trained based on the historical operating dataset of each influencing factor; wherein, the historical operating dataset includes a historical off-peak influencing factor set and a historical peak influencing factor set; wherein, the historical off-peak influencing factor set includes historical off-peak host temperature value and historical off-peak host noise value; the historical peak influencing factor set includes historical peak host temperature value, historical peak elevator frequency converter overload, historical peak elevator vibration value and historical peak host noise value.
[0031] Furthermore, embodiments of this application provide an elevator energy-saving control system, including:
[0032] A triaxial sensor is used to detect the vibration of the elevator in real time and send the detection results to the carrier frequency adjustment device.
[0033] An operation status detection device is used to detect the current operation status of the elevator and send the detected operation status information to a carrier frequency adjustment device; wherein, the operation status includes busy time status and idle time status;
[0034] A temperature detection device is used to detect the temperature of the host in real time and send the detection results to the carrier frequency adjustment device.
[0035] A noise detection device is used to detect the host noise in real time and send the detection results to the carrier frequency adjustment device.
[0036] A carrier frequency adjustment device is used to acquire elevator operating status information, including idle and busy times. Based on the elevator operating status information, an influencing factor set is acquired, including an idle time influencing factor set and a busy time influencing factor set. The idle time influencing factor set includes the idle time host real-time temperature value and the idle time host real-time noise value; the busy time influencing factor set includes the busy time host real-time temperature value, the busy time elevator frequency converter overload, the busy time elevator real-time vibration value, and the busy time host real-time noise value. Based on the influencing factor set, trend analysis is performed to obtain the influence coefficient value corresponding to each influencing factor. The influence coefficient values corresponding to each influencing factor are input into a trained target multiple linear regression model so that the target multiple linear regression model outputs a target carrier frequency value. The target carrier frequency value refers to the carrier frequency value with the lowest energy consumption when the elevator is in its current operating state. The current carrier frequency value of the elevator is adjusted to the target carrier frequency value to reduce the energy consumption during elevator operation.
[0037] Compared with existing technologies, the elevator energy-saving control method provided in this application is used for a carrier frequency adjustment device. It first determines whether the elevator is currently in an idle or busy state, and then obtains a set of corresponding influencing factors based on different operating states. By performing trend analysis on the aforementioned influencing factor set, it obtains the influence coefficient value corresponding to each influencing factor. The influence coefficient values corresponding to each influencing factor are then input into a pre-trained target multiple linear regression model, so that the target multiple linear regression model outputs a target carrier frequency value with the lowest energy consumption. The current carrier frequency value of the elevator is adjusted to the target carrier frequency value to reduce the energy consumption during elevator operation. Furthermore, when adjusting the elevator carrier frequency value, this application adjusts it based on multiple influencing factors corresponding to the current operating state of the elevator. Therefore, while reducing the energy consumption during elevator operation, it can also ensure the stable operation of the elevator. Attached Figure Description
[0038] To more clearly illustrate the technical solutions in the specific embodiments of this application or the prior art, the drawings used in the description of the specific embodiments or the prior art will be briefly introduced below. In all the drawings, similar elements or parts are generally identified by similar reference numerals. In the drawings, the elements or parts are not necessarily drawn to scale.
[0039] Figure 1 This is a schematic diagram of the computer device structure for the hardware operating environment involved in this application;
[0040] Figure 2 This is a flowchart illustrating the elevator energy-saving control method involved in this application;
[0041] Figure 3 This is a schematic diagram of the elevator energy-saving control system involved in this application;
[0042] Figure 4 This is a schematic diagram of the carrier frequency adjustment device involved in this application.
[0043] The realization of the purpose, functional features and advantages of this application will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation
[0044] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of the embodiments. Based on the embodiments of this application, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of this application.
[0045] It should be noted that all directional indications (such as up, down, left, right, front, back, etc.) in the embodiments of this application are only used to explain the relative positional relationship and movement of each component in a certain specific posture. If the specific posture changes, the directional indication will also change accordingly.
[0046] In this application, unless otherwise expressly specified and limited, the terms "connection," "fixed," etc., should be interpreted broadly. For example, "fixed" can mean a fixed connection, a detachable connection, or an integral part; it can mean a mechanical connection or an electrical connection; it can mean a direct connection or an indirect connection through an intermediate medium; it can mean the internal communication of two components or the interaction between two components, unless otherwise expressly limited. Those skilled in the art can understand the specific meaning of the above terms in this application according to the specific circumstances.
[0047] Furthermore, if the embodiments of this application involve descriptions such as "first" or "second," these descriptions are for descriptive purposes only and should not be construed as indicating or implying their relative importance or implicitly specifying the number of technical features indicated. Therefore, a feature defined with "first" or "second" may explicitly or implicitly include at least one of those features. Additionally, the meaning of "and / or" throughout the text includes three parallel solutions; for example, "A and / or B" includes solution A, solution B, or a solution where both A and B are satisfied simultaneously. Furthermore, the technical solutions of the various embodiments can be combined with each other, but this must be based on the ability of those skilled in the art to implement them. When the combination of technical solutions is contradictory or impossible to implement, it should be considered that such a combination of technical solutions does not exist and is not within the scope of protection claimed in this application.
[0048] Reference Figure 1 , Figure 1 This is a schematic diagram of the electronic device structure of the hardware operating environment involved in the embodiments of this application.
[0049] like Figure 1As shown, the electronic device may include: a processor 1001, such as a central processing unit (CPU), a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. The communication bus 1002 is used to enable communication between these components. The user interface 1003 may include a display screen or an input unit such as a keyboard; optionally, the user interface 1003 may also include a standard wired interface or a wireless interface. The network interface 1004 may optionally include a standard wired interface or a wireless interface (such as a Wi-Fi interface). The memory 1005 may be a high-speed random access memory (RAM) or a stable non-volatile memory (NVM), such as a disk drive. The memory 1005 may also optionally be a storage device independent of the aforementioned processor 1001.
[0050] Those skilled in the art will understand that Figure 1 The structure shown does not constitute a limitation on the electronic device and may include more or fewer components than shown, or combine certain components, or have different component arrangements.
[0051] like Figure 1 As shown, the memory 1005, which serves as a storage medium, may include an operating system, a network communication module, a user interface module, and electronic programs.
[0052] exist Figure 1 In the electronic device shown, the network interface 1004 is mainly used for data communication with the network server; the user interface 1003 is mainly used for data interaction with the user; the processor 1001 and the memory 1005 in the electronic device of this application can be set in the electronic device, and the electronic device calls the elevator energy-saving control method device stored in the memory 1005 through the processor 1001 and executes the elevator energy-saving control method provided in the embodiment of this application.
[0053] In current technology, elevators consume significant energy even during off-peak hours. For example, in residential elevators, off-peak hours can exceed 11 hours, with total energy consumption during this time exceeding 4-5 times the energy consumption during operation. Therefore, reducing off-peak energy consumption is crucial for elevator energy conservation.
[0054] It is important to note that selecting a suitable carrier frequency is crucial for elevator operation: a higher carrier frequency results in a smoother current waveform and allows the inverter to output a smaller current, but also increases leakage current caused by high-frequency pulses. Conversely, a carrier frequency that is too low increases motor temperature and noise, affecting motor stability and potentially causing motor burnout.
[0055] Therefore, refer to Figure 2 Based on the aforementioned hardware environment, this embodiment also provides an elevator energy-saving control method for a carrier frequency adjustment device; including the following steps:
[0056] Step S10: Obtain elevator operating status information; wherein, the elevator operating status includes idle time status and busy time status.
[0057] It's important to note that elevators operate in two states: busy and idle. During busy periods, elevators handle a large volume of passengers and goods, resulting in a heavier load and higher demands on the motor. During idle periods, the load is lower, and the motor's workload is relatively lighter. Since adjusting the elevator's carrier frequency affects the motor's speed, it's crucial to determine the elevator's operating state before making any adjustments. If the elevator is in an idle state, adjusting the carrier frequency will not significantly impact its operation and will likely yield better results. However, if the elevator is in a busy state, adjusting the carrier frequency may disrupt its normal operation and could even pose safety hazards. Therefore, it's essential to determine whether the elevator is in a busy or idle state before making any carrier frequency adjustments to determine the most suitable adjustment value.
[0058] Specifically, when the elevator is in busy mode, adjusting the carrier frequency aims to ensure elevator stability and anti-interference capabilities. The specific adjustment method is as follows: the elevator inverter sets a preset carrier frequency value f0 based on the main unit parameters and the elevator's operating frequency. During elevator operation, the main unit's temperature change and the elevator's vibration curve are monitored in real time. When the elevator temperature is too high, or the vibration is in the Z-direction, the inverter's carrier frequency adjustment module automatically performs fine-tuning of the carrier frequency setting, at which point the carrier frequency is read as f1. A relationship curve is generated between the carrier frequency fn, temperature Tn, and vibration system Xn. The optimal carrier frequency setting value fm is obtained through a system neural algorithm.
[0059] Specifically, when the elevator is in idle mode, the purpose of adjusting the carrier frequency is to reduce the overall energy consumption of the elevator and decrease the frequency of circuit switching. The specific adjustment method is as follows: when the system enters idle mode, the system automatically adjusts the carrier frequency while simultaneously detecting the host unit temperature and host unit noise.
[0060] In a specific embodiment, after obtaining the elevator operating status information, the following steps can be performed:
[0061] Step S20: Based on the elevator operating status information, obtain the set of influencing factors.
[0062] It should be noted that the set of influencing factors includes an idle time influencing factor set and a busy time influencing factor set; wherein, the idle time influencing factor set includes the idle time host real-time temperature value and the idle time host real-time noise value; the busy time influencing factor set includes the busy time host real-time temperature value, the busy time elevator frequency converter overload, the busy time elevator real-time vibration value, and the busy time host real-time noise value.
[0063] Specifically, the step of obtaining the set of influencing factors based on the elevator operating status information includes: if the elevator is in an idle state, the original carrier frequency is lowered to a preset carrier frequency value; and during the process of lowering the original carrier frequency to the preset carrier frequency value, the real-time temperature value and the real-time noise value of the idle host are obtained; if the elevator is in a busy state, the real-time temperature value of the busy host, the overload value of the elevator frequency converter, the real-time vibration value of the elevator, and the real-time noise value of the busy host are obtained.
[0064] It should be noted that the preset carrier frequency value is set by the program based on actual conditions, such as the carrier frequency value with the lowest energy consumption under ideal conditions when the elevator is in an idle state, based on theoretical calculations; no special limitations are made here.
[0065] The idle-time real-time temperature value of the main unit refers to the actual temperature of the main unit (i.e., the main equipment of the elevator, including the motor, control system, etc.) when the elevator is in an idle state. This temperature value reflects the operating status of the elevator main unit and the ambient temperature. The reason why the idle-time real-time temperature value of the main unit is considered as one of the influencing factors when adjusting the elevator's carrier frequency is that the temperature of the main unit affects the performance of the motor. For example, excessively high temperatures can lead to decreased motor efficiency or even damage the motor. Therefore, when adjusting the carrier frequency, it is necessary to ensure that the temperature of the main unit is within an acceptable range to protect the elevator's main unit and extend its service life. Furthermore, when the main unit temperature is too high, it will directly cause motor overload or even damage the main unit. Therefore, when adjusting the elevator's carrier frequency, it is necessary to first determine the elevator's operating status and the real-time temperature of the main unit to ensure the correctness and safety of the adjustment strategy.
[0066] The idle-time main unit real-time noise value refers to the actual noise level of the main unit (i.e., the main equipment of the elevator, including the motor, control system, etc.) when the elevator is in an idle state. This noise value can reflect the operating status of the elevator main unit, mechanical vibration, and the working condition of the motor. The reason why the idle-time main unit real-time noise value is considered as one of the influencing factors when adjusting the elevator's carrier frequency is that the elevator's noise level can reflect its operating status; for example, when the elevator main unit is unstable or has mechanical failures, it may generate significant noise; therefore, by monitoring the noise level, the operating status of the elevator can be indirectly understood. In addition, when adjusting the carrier frequency, it is necessary to ensure that the noise level is within the acceptable range for residents. However, since the technical objective of this application is to reduce the elevator's operating energy consumption, reducing the motor speed can reduce energy consumption and achieve energy saving under the condition of ensuring an acceptable noise level; thereby achieving efficient energy utilization while ensuring comfort.
[0067] Similarly, the real-time temperature value of the elevator main unit during peak hours refers to the actual temperature of the elevator main unit (including the motor, control system, etc.). This temperature value reflects the operating status of the elevator main unit and the ambient temperature. During peak hours, the elevator main unit experiences a higher load, and its temperature may rise more rapidly. Therefore, the real-time temperature value of the main unit needs to be considered to avoid overheating that could damage the equipment or cause malfunctions. Furthermore, the real-time noise value of the elevator main unit during peak hours refers to the noise level of the main unit during elevator operation. Excessive noise may cause passenger discomfort or complaints. During peak hours, the noise may be more noticeable due to more frequent equipment operation. Therefore, the real-time noise value of the main unit needs to be considered to avoid excessive noise that could cause passenger discomfort or complaints.
[0068] The term "peak-hour elevator inverter overload" refers to the load on the inverter during elevator operation. The inverter is a crucial device for controlling motor operation; overload can lead to overheating or damage. During peak hours, the elevator load is high, potentially causing the inverter to be overloaded. Therefore, including elevator inverter overload as a contributing factor is to prevent overload during carrier frequency adjustment, which could result in equipment damage or malfunction.
[0069] The real-time vibration value of the elevator during peak hours refers to the vibration of the elevator's main unit during operation; excessive vibration may cause equipment damage or passenger discomfort. During peak hours, the vibration may be more pronounced due to the heavier load. Therefore, including the real-time vibration value as one of the influencing factors is to avoid excessive vibration leading to equipment damage or passenger discomfort.
[0070] Step S30: Based on the set of influencing factors, perform trend analysis to obtain the influence coefficient value corresponding to each influencing factor; input the influence coefficient value corresponding to each influencing factor into the trained target multiple linear regression model so that the target multiple linear regression model outputs the target carrier frequency value; wherein, the target carrier frequency value refers to the carrier frequency value with the lowest energy consumption when the elevator is in the current operating state.
[0071] After obtaining the aforementioned set of impact factors, the data in this set can be standardized before trend analysis. This involves standardizing data from different formats, sources, and levels of precision to conform to specific standards and specifications, facilitating data comparison, analysis, and sharing. The purpose of data standardization is to improve data quality and consistency, reduce redundancy and errors, and enhance data usability and reliability.
[0072] Trend analysis is a long-term analytical processing method that calculates a fixed-base index for one or more items over several consecutive reporting periods compared to a base period, or a chain index compared to the previous period, forming an index time series. This series is used to analyze the historical long-term trend of the reported item and serves as one of the bases for predicting future long-term development trends. Therefore, this application employs trend analysis to better predict the target carrier frequency, determining the change curves between each influencing factor and the carrier frequency, thereby obtaining the influence coefficient values corresponding to each influencing factor.
[0073] In the first specific implementation, if the elevator is in an idle state, the idle temperature influence coefficient is obtained based on the real-time temperature value of the idle host and the preset maximum idle temperature value; the idle noise influence coefficient is obtained based on the real-time noise value of the idle host and the preset maximum idle noise value.
[0074] Specifically, the idle temperature influence coefficient value is obtained through the following steps: if the real-time temperature value of the idle host is lower than the preset maximum idle temperature value, the original carrier frequency value is increased to obtain the first idle temperature influence coefficient value; if the real-time temperature value of the idle host is higher than the preset maximum idle temperature value, the original carrier frequency value is decreased to obtain the second idle temperature influence coefficient value.
[0075] It should be noted that the reason for increasing the original carrier frequency value when the real-time temperature of the elevator host during idle hours is lower than the preset maximum idle temperature value is primarily to optimize the elevator's operating performance and efficiency. The elevator's operating state is closely related to the carrier frequency; the carrier frequency affects the motor's speed, thus influencing the elevator's operating speed and energy consumption. When the elevator is idle, if the real-time temperature of the elevator host is lower than the preset maximum temperature value, it indicates that the current carrier frequency may be relatively low, and the elevator host is not operating at its maximum load. In this case, increasing the original carrier frequency value can increase the motor's speed and improve the elevator's operating speed. This not only reduces passenger waiting time and improves operating efficiency but also allows the elevator host to complete its operating tasks in a shorter time, thereby reducing the host's operating time and lowering energy consumption.
[0076] In addition, increasing the carrier frequency can help balance the elevator's load. During elevator operation, if the load on one side is too large, it may cause the elevator to run unbalanced, generating vibration and noise. By increasing the carrier frequency, the motor speed can be matched with the load, reducing vibration and noise and improving passenger comfort.
[0077] However, it is important to note that when adjusting the carrier frequency, it is crucial to ensure that the real-time temperature of the main unit remains within an acceptable range. Excessive temperature can lead to motor overload or damage, impacting the elevator's operational performance and safety. Therefore, multiple factors must be considered comprehensively when adjusting the carrier frequency to ensure the safe and stable operation of the elevator.
[0078] Specifically, the idle noise impact coefficient value is obtained through the following steps: if the real-time noise value of the idle host is greater than the preset maximum idle noise value, the current carrier frequency value is increased to obtain the first idle noise impact coefficient value; if the real-time noise value of the idle host is less than the preset maximum idle noise value, the current carrier frequency value is decreased to obtain the second idle noise impact coefficient value.
[0079] It should be noted that during the elevator's idle period, i.e., when no passengers or goods are entering or exiting, the real-time noise level of the elevator's main unit may exceed the preset maximum noise level for idle periods. This could be because the elevator main unit is operating under low load, leading to increased noise or vibration from the motor. Therefore, to address this issue, the elevator control system may adjust the carrier frequency. The carrier frequency is used to control the motor's operating speed; changing the carrier frequency adjusts the motor's rotational speed, thereby reducing noise. Specifically, when the elevator is in an idle state, if the real-time noise level exceeds the preset maximum noise level, the control system may increase the current carrier frequency. This reduces the motor's rotational speed, thus lowering the noise level.
[0080] Generally, there is no fixed standard for the preset maximum idle noise level; it is set based on factors such as the specific elevator model, specifications, and operating environment. When setting this value, factors such as the elevator motor's performance, operating environment, and passenger comfort need to be considered. Typically, the elevator motor generates less noise at low speeds and more noise at high speeds. Therefore, when setting the preset maximum idle noise level, the noise level of the elevator motor at high speeds must be considered to ensure that the noise level does not exceed the preset maximum noise level when adjusting the carrier frequency. Simultaneously, passenger comfort must also be considered. If the preset maximum noise level is set too low, the noise generated by the elevator during normal operation may be lower than that value, thus affecting passenger comfort. Therefore, when setting the preset maximum noise level, factors such as elevator performance, operating environment, and passenger comfort need to be comprehensively considered. In other words, the setting of the preset maximum idle noise level requires comprehensive consideration based on specific circumstances, and no special limitations are set here.
[0081] In the second specific implementation scheme, if the elevator is in a busy operating state, the busy temperature influence coefficient value is obtained based on the real-time temperature value of the busy host and the preset maximum busy temperature value; the busy load influence coefficient value is obtained based on the elevator frequency converter overload and the preset maximum busy overload; and the busy vibration-noise influence coefficient value is obtained based on the real-time noise value of the busy host and the real-time vibration value of the busy elevator.
[0082] The busy-hour temperature influence coefficient value is obtained through the following steps: if the real-time temperature value of the busy-hour host is lower than the preset maximum busy-hour temperature value, the current carrier frequency value is increased to obtain the first busy-hour temperature influence coefficient value; if the real-time temperature value of the busy-hour host is higher than the preset maximum busy-hour temperature value, the current carrier frequency value is decreased to obtain the second busy-hour temperature influence coefficient value.
[0083] Similar to the idle-hour temperature influence coefficient mentioned above, when adjusting the carrier frequency based on the busy-hour temperature influence coefficient, it is necessary to ensure that the real-time temperature of the main unit remains within an acceptable range. Excessive main unit temperature may lead to motor overload or damage, affecting the elevator's operational performance and safety. Therefore, multiple factors need to be considered comprehensively when adjusting the carrier frequency to ensure the safe and stable operation of the elevator.
[0084] However, it's important to note that during off-peak hours, the elevator machine's temperature is relatively low, thus minimizing its impact on the elevator. During peak hours, however, the increased load on the elevator machine can cause its temperature to rise rapidly, leading to a more significant impact. Furthermore, during off-peak hours, the lower load on the elevator machine allows for a more efficient use of the carrier frequency to increase the elevator's operating speed and reduce the machine's runtime, thereby lowering energy consumption. Conversely, during peak hours, the increased load necessitates a lower carrier frequency to prevent overload and ensure safe elevator operation.
[0085] Therefore, during busy periods, the interval for adjusting the carrier frequency can be appropriately larger than the interval during idle periods. For example, if the carrier frequency adjustment interval is 0.2 Hz during idle periods, then during busy periods, the carrier frequency adjustment interval can be greater than 0.2 Hz. However, to ensure the safe operation of the elevator, the adjustment interval should be less than 5 Hz.
[0086] It should be noted that when adjusting the carrier frequency based on the relationship between other influencing factors and preset values, the adjustment interval should be between 0.2 Hz and 5 Hz to ensure the safe and stable operation of the elevator.
[0087] The load influence coefficient value is obtained through the following steps: subtracting the preset maximum overload from the elevator frequency converter overload to obtain the difference; dividing the difference by the preset maximum overload to obtain the phase difference ratio; if the phase difference ratio reaches a first preset ratio, the original carrier frequency value is downgraded; during the downgrade process, if the phase difference ratio reaches a second preset ratio, the current carrier frequency value is adjusted back to the original carrier frequency, and a second load influence coefficient value is obtained.
[0088] In specific implementation, the first preset ratio value can be set to 40% to 60%, such as 50%; the second preset ratio value can be set to 5% to 15%, such as 10%.
[0089] It's important to note that frequency converters control motor speed by adjusting voltage and frequency. A higher carrier frequency results in a higher motor speed, while a lower carrier frequency results in a lower motor speed. Therefore, when the frequency converter's overload is too high, the carrier frequency needs to be reduced to prevent motor overload. Similarly, if the motor load is too high, the carrier frequency also needs to be reduced to ensure normal motor operation.
[0090] It should be noted that, in order to reduce the impact on the power grid when the elevator starts, this embodiment of the application further includes, before the step of obtaining the vibration-noise impact coefficient value during busy hours based on the real-time noise value of the host and the real-time vibration value of the elevator during busy hours, the following steps are taken: before the elevator starts, the original carrier frequency value is down-adjusted, and during the down-adjustment process, the host noise value and the elevator vibration value are detected in real time to obtain the real-time noise value of the host and the real-time vibration value of the elevator during busy hours.
[0091] Specifically, elevators consume a significant amount of electrical energy during startup, especially in high-rise buildings and for elevators with heavy loads, where the starting current can cause a substantial impact on the power grid. To mitigate this impact, the motor speed and torque can be reduced by lowering the carrier frequency, thereby reducing the starting current. Furthermore, lowering the carrier frequency before elevator startup can improve startup comfort. If the elevator reaches the preset speed too quickly during startup, it may generate significant shock and vibration, affecting passenger comfort. Therefore, lowering the carrier frequency allows for a smoother startup, minimizing the impact on passenger comfort.
[0092] However, it is important to note that when adjusting the carrier frequency, the elevator's operating performance and passenger comfort must be considered comprehensively to avoid excessive adjustment, which could lead to excessively long elevator start-up time or failure to reach the preset operating speed, thereby affecting the passenger's travel experience.
[0093] Based on the above steps, the busy-hour vibration-noise impact coefficient value is obtained through the following steps: if the real-time noise value of the busy-hour host exceeds the preset busy-hour noise value, the current carrier frequency value is adjusted upward to obtain the start-up adjustment frequency value; when the elevator enters the busy-hour state, the start-up adjustment frequency value is adjusted upward until the real-time vibration value of the elevator in the Z direction is lower than the preset busy-hour vibration value, thereby obtaining the busy-hour vibration-noise impact coefficient value.
[0094] It should be noted that the real-time vibration value of the elevator in the Z direction refers to the elevator's vibration in the vertical direction (i.e., the Z-axis direction). During elevator operation, vibrations may occur due to various factors, such as motor operation, friction between the guide rails and wire ropes, and the movement of passengers inside the car. These vibrations may propagate along the X, Y, and Z axes.
[0095] Vibration in the Z-direction is primarily caused by the elevator's vertical movement. When the elevator starts, stops, changes speed, or passes over uneven floors, Z-direction vibrations may occur; these vibrations can affect elevator performance and passenger comfort. Therefore, monitoring and analyzing real-time Z-direction elevator vibration values can help determine the elevator's operating status and performance, and promptly identify and resolve potential problems, thereby ensuring passenger safety and comfort.
[0096] The influence coefficient values corresponding to each of the influence factors obtained by the above method are input into the trained target multiple linear regression model so that the target multiple linear regression model outputs the target carrier frequency value.
[0097] After obtaining the influence coefficients of each of the influencing factors, the target multiple linear regression model will combine them with weights based on historical data, and output the carrier frequency value with the lowest energy consumption when the elevator is in its current operating state based on the weighted data.
[0098] It should be noted that the target multiple linear regression model is trained based on the historical operating dataset of each influencing factor; wherein, the historical operating dataset includes the historical off-peak influencing factor set and the historical peak influencing factor set; wherein, the historical off-peak influencing factor set includes the historical off-peak host temperature value and the historical off-peak host noise value; wherein, the historical peak influencing factor set includes the historical peak host temperature value, the historical peak elevator frequency converter overload, the historical peak elevator vibration value, and the historical peak host noise value.
[0099] Step S40: Adjust the current carrier frequency value of the elevator to the target carrier frequency value to reduce the energy consumption of the elevator during operation.
[0100] It can be seen that the target carrier frequency value described in this application is obtained after reasonable analysis based on the current state of the elevator and the corresponding influencing factor data. Therefore, by adjusting the current carrier frequency value of the elevator to the target carrier frequency value, the smooth operation and anti-interference ability of the elevator in busy conditions can be guaranteed; it can also guarantee the overall energy consumption of the elevator in idle conditions, reduce the frequency of circuit switching, and extend the life of the frequency converter.
[0101] On the other hand, such as Figure 3 As shown, to solve the above-mentioned technical problems, this application also provides: an elevator energy-saving control system, comprising:
[0102] A triaxial sensor is used to detect the vibration of the elevator in real time and send the detection results to the carrier frequency adjustment device.
[0103] An operation status detection device is used to detect the current operation status of the elevator and send the detected operation status information to a carrier frequency adjustment device; wherein, the operation status includes busy time status and idle time status;
[0104] A temperature detection device is used to detect the temperature of the host in real time and send the detection results to the carrier frequency adjustment device.
[0105] A noise detection device is used to detect the host noise in real time and send the detection results to the carrier frequency adjustment device.
[0106] A carrier frequency adjustment device is used to acquire elevator operating status information, including idle and busy times. Based on the elevator operating status information, an influencing factor set is acquired, including an idle time influencing factor set and a busy time influencing factor set. The idle time influencing factor set includes the idle time host real-time temperature value and the idle time host real-time noise value; the busy time influencing factor set includes the busy time host real-time temperature value, the busy time elevator frequency converter overload, the busy time elevator real-time vibration value, and the busy time host real-time noise value. Based on the influencing factor set, trend analysis is performed to obtain the influence coefficient value corresponding to each influencing factor. The influence coefficient values corresponding to each influencing factor are input into a trained target multiple linear regression model so that the target multiple linear regression model outputs a target carrier frequency value. The target carrier frequency value refers to the carrier frequency value with the lowest energy consumption when the elevator is in its current operating state. The current carrier frequency value of the elevator is adjusted to the target carrier frequency value to reduce the energy consumption during elevator operation.
[0107] Specifically, such as Figure 4 As shown, the carrier frequency adjustment device includes:
[0108] The module for acquiring operating status information is used to acquire elevator operating status information; wherein, the elevator operating status includes idle time status and busy time status;
[0109] The associated parameter module is used to obtain a set of influencing factors based on the elevator operating status information; wherein, the set of influencing factors includes an idle time influencing factor set and a busy time influencing factor set; wherein, the idle time influencing factor set includes the idle time real-time temperature value of the main unit and the idle time real-time noise value of the main unit; the busy time influencing factor set includes the busy time real-time temperature value of the main unit, the busy time elevator frequency converter overload, the busy time elevator real-time vibration value, and the busy time main unit real-time noise value;
[0110] The calculation module is used to perform trend analysis based on the set of influencing factors to obtain the influence coefficient value corresponding to each influencing factor; input the influence coefficient value corresponding to each influencing factor into the trained target multiple linear regression model so that the target multiple linear regression model outputs a target carrier frequency value; wherein, the target carrier frequency value refers to the carrier frequency value with the lowest energy consumption when the elevator is in the current operating state;
[0111] The carrier frequency adjustment module is used to adjust the current carrier frequency value of the elevator to the target carrier frequency value in order to reduce the energy consumption of the elevator during operation.
[0112] It should be noted that each module in the carrier frequency adjustment device in this embodiment corresponds one-to-one with each step in the carrier frequency switching method in the aforementioned embodiment. Therefore, the specific implementation of this embodiment can refer to the implementation of the aforementioned carrier frequency switching method, and will not be repeated here.
[0113] Furthermore, in one embodiment, this application also provides an electronic device, the electronic device including a processor, a memory, and an acquisition machine program stored in the memory, the acquisition machine program being executed by the processor to implement the steps of the method in the foregoing embodiments.
[0114] In addition, in one embodiment, this application also provides an acquisition machine storage medium, on which an acquisition machine program is stored, and the acquisition machine program is executed by a processor to implement the steps of the method in the foregoing embodiments.
[0115] In some embodiments, the machine-readable storage medium may be a memory such as FRAM, ROM, PROM, EPROM, EEPROM, flash memory, magnetic surface memory, optical disk, or CD-ROM; or it may be a device including one or any combination of the above-mentioned memories. The acquisition machine may be a variety of acquisition devices, including smart terminals and servers.
[0116] In some embodiments, executable instructions may take the form of a program, software, software module, script, or code, written in any form of programming language (including compiled or interpreted languages, or declarative or procedural languages), and may be deployed in any form, including as a standalone program or as a module, component, subroutine, or other unit suitable for use in the acquisition environment.
[0117] As an example, executable instructions may, but do not necessarily, correspond to files in the file system. They may be stored as part of a file that holds other programs or data, for example, in one or more scripts in a Hyper Text Markup Language (HTML) document, in a single file dedicated to the program in question, or in multiple co-located files (e.g., a file that stores one or more modules, subroutines, or code sections).
[0118] As an example, executable instructions can be deployed to execute on a single acquisition device, or on multiple acquisition devices located at one location, or on multiple acquisition devices distributed across multiple locations and interconnected via a communication network.
[0119] It should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or system. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or system that includes that element.
[0120] The sequence numbers of the embodiments in this application are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments.
[0121] Through the above description of the embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus necessary general-purpose hardware platforms. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, can be embodied in the form of a software product. This acquisition machine software product is stored in a storage medium (such as read-only memory / random access memory, magnetic disk, optical disk), and includes several instructions to cause a multimedia terminal device (which may be a mobile phone, acquisition machine, television receiver, or network device, etc.) to execute the methods described in the various embodiments of this application.
[0122] The above-disclosed embodiments are merely partial examples of this application and should not be construed as limiting the scope of this application. Those skilled in the art will understand that implementing all or part of the above embodiments and making equivalent changes in accordance with the claims of this application are still within the scope of the invention.
Claims
1. An elevator energy-saving control method, characterized in that, For use in a carrier frequency adjustment device; comprising the following steps: Obtain elevator operating status information; wherein, the elevator operating status includes idle time status and busy time status; Based on the elevator operating status information, an influencing factor set is obtained; wherein, the influencing factor set includes an idle time influencing factor set and a busy time influencing factor set; the idle time influencing factor set includes the idle time host real-time temperature value and the idle time host real-time noise value; the busy time influencing factor set includes the busy time host real-time temperature value, the busy time elevator frequency converter overload, the busy time elevator real-time vibration value, and the busy time host real-time noise value. If the elevator is in an idle state, and the real-time temperature value of the idle host is lower than the preset maximum idle temperature value, the original carrier frequency value is increased to obtain a first idle temperature influence coefficient value; if the real-time temperature value of the idle host is higher than the preset maximum idle temperature value, the original carrier frequency value is decreased to obtain a second idle temperature influence coefficient value; based on the real-time noise value of the idle host and the preset maximum idle noise value, an idle noise influence coefficient value is obtained. If the elevator is in a busy operating state, then if the real-time temperature value of the main unit during the busy period is lower than the preset maximum temperature value during the busy period, the current carrier frequency value is increased, and a first busy-time temperature influence coefficient value is obtained; if the real-time temperature value of the main unit during the busy period is higher than the preset maximum temperature value during the busy period, the current carrier frequency value is decreased, and a second busy-time temperature influence coefficient value is obtained; based on the elevator frequency converter overload during the busy period and the preset maximum overload during the busy period, a busy-time load influence coefficient value is obtained; based on the real-time noise value of the main unit during the busy period and the real-time vibration value of the elevator during the busy period, a busy-time vibration-noise influence coefficient value is obtained. The influence coefficient values corresponding to each of the aforementioned influencing factors are input into the trained target multiple linear regression model so that the target multiple linear regression model outputs a target carrier frequency value; wherein, the target carrier frequency value refers to the carrier frequency value with the lowest energy consumption when the elevator is in its current operating state; The current carrier frequency value of the elevator is adjusted to the target carrier frequency value to reduce the energy consumption during elevator operation.
2. The elevator energy-saving control method according to claim 1, characterized in that, The step of obtaining the influencing factor set based on the elevator operating status information includes: If the elevator is in an idle state, the original carrier frequency is lowered to a preset carrier frequency value; and during the process of lowering the original carrier frequency to the preset carrier frequency value, the real-time temperature value and the real-time noise value of the idle host are obtained. If the elevator is in a busy operating state, then the real-time temperature value of the main unit, the overload value of the elevator frequency converter, the real-time vibration value of the elevator, and the real-time noise value of the main unit during the busy operating time are obtained.
3. The elevator energy-saving control method according to claim 1, characterized in that, The step of obtaining the idle noise impact coefficient value based on the real-time noise value of the idle host and the preset maximum idle noise value includes: If the real-time noise value of the idle host is greater than the preset maximum idle noise value, the current carrier frequency value is increased, and the first idle noise influence coefficient value is obtained. If the real-time noise value of the idle host is less than the preset maximum idle noise value, the current carrier frequency value is downgraded, and a second idle noise influence coefficient value is obtained.
4. The elevator energy-saving control method according to claim 1, characterized in that, The step of obtaining the load influence coefficient value based on the elevator frequency converter overload and the preset maximum overload includes: Subtract the preset maximum overload from the elevator frequency converter overload to obtain the difference between the two; divide the difference between the two by the preset maximum overload to obtain the ratio of the difference. If the phase difference ratio reaches the first preset ratio, the original carrier frequency value will be downgraded. During the downsizing process, if the phase difference ratio reaches the second preset ratio, the current carrier frequency value is adjusted back to the original carrier frequency, and the second load influence coefficient value is obtained.
5. The elevator energy-saving control method according to claim 1, characterized in that, Before the step of obtaining the peak-hour vibration-noise impact coefficient value based on the peak-hour host real-time noise value and the peak-hour elevator real-time vibration value, the method further includes: Before the elevator starts, the original carrier frequency value is down-adjusted. During the down-adjustment process, the host noise value and elevator vibration value are detected in real time to obtain the real-time host noise value and the real-time elevator vibration value during busy hours.
6. The elevator energy-saving control method according to claim 5, characterized in that, The step of obtaining the peak-hour vibration-noise impact coefficient value based on the peak-hour host real-time noise value and the peak-hour elevator real-time vibration value includes: If the real-time noise value of the busy-hour host exceeds the preset busy-hour noise value, the current carrier frequency value will be increased to obtain the start adjustment frequency value. When the elevator enters a busy period, the starting adjustment frequency value is increased until the real-time vibration value of the elevator in the Z direction is lower than the preset busy period vibration value, thus obtaining the busy period vibration-noise influence coefficient value.
7. The elevator energy-saving control method according to claim 1, characterized in that, The target multiple linear regression model is trained based on the historical operating dataset of each influencing factor; wherein, the historical operating dataset includes the historical off-peak influencing factor set and the historical peak influencing factor set; wherein, the historical off-peak influencing factor set includes the historical off-peak host temperature value and the historical off-peak host noise value; wherein, the historical peak influencing factor set includes the historical peak host temperature value, the historical peak elevator frequency converter overload, the historical peak elevator vibration value, and the historical peak host noise value.
8. An elevator energy-saving control system, characterized in that, include: A triaxial sensor is used to detect the vibration of the elevator in real time and send the detection results to the carrier frequency adjustment device. An operation status detection device is used to detect the current operation status of the elevator and send the detected operation status information to a carrier frequency adjustment device; wherein, the operation status includes busy time status and idle time status; A temperature detection device is used to detect the temperature of the host in real time and send the detection results to the carrier frequency adjustment device. A noise detection device is used to detect the host noise in real time and send the detection results to the carrier frequency adjustment device. A carrier frequency adjustment device is used to acquire elevator operating status information, including idle and busy times. Based on the elevator operating status information, an influencing factor set is acquired, including an idle time influencing factor set and a busy time influencing factor set. The idle time influencing factor set includes the idle time host real-time temperature value and the idle time host real-time noise value; the busy time influencing factor set includes the busy time host real-time temperature value, the busy time elevator frequency converter overload, the busy time elevator real-time vibration value, and the busy time host real-time noise value. If the elevator is in an idle time state, and the idle time host real-time temperature value is lower than a preset maximum idle time temperature value, the original carrier frequency value is increased to obtain a first idle time temperature influence coefficient value; if the idle time host real-time temperature value is higher than the preset maximum idle time temperature value, the original carrier frequency value is decreased to obtain a second idle time temperature influence coefficient value; based on the idle time host real-time noise value and the preset maximum idle time noise value, an idle time noise influence coefficient value is obtained. The following parameters are considered: If the elevator is in a busy period, and the real-time temperature of the main unit is lower than the preset maximum busy period temperature, the current carrier frequency is increased to obtain a first busy period temperature influence coefficient. If the real-time temperature of the main unit is higher than the preset maximum busy period temperature, the current carrier frequency is decreased to obtain a second busy period temperature influence coefficient. A busy period load influence coefficient is obtained based on the elevator frequency converter overload and the preset maximum busy period overload. A busy period vibration-noise influence coefficient is obtained based on the real-time noise value of the main unit and the real-time vibration value of the elevator. The influence coefficient values corresponding to each influence factor are input into a trained target multiple linear regression model to output a target carrier frequency value. The target carrier frequency value refers to the carrier frequency value with the lowest energy consumption when the elevator is in its current operating state. The current carrier frequency value of the elevator is adjusted to the target carrier frequency value to reduce the energy consumption during elevator operation.
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