An elevator intelligent control method and system based on a variable-frequency motor

Abstract

The present invention provides an elevator intelligent control method and system based on a variable-frequency motor; wherein, the method includes: obtaining first image data outside the elevator car, determining passenger data of passengers to enter the elevator car according to the first image data, and determining an estimated load according to the passenger data; judging whether the estimated load exceeds the driving capacity of the first driving motor, and if so, switching the second driving motor to provide driving force for the elevator car. By reasonably switching between two sets of driving motors, the present invention not only ensures the safety of the elevator during overload operation, but also does not excessively increase energy consumption.

Description

Technical Field

[0001] The present invention relates to the technical field of elevator motor control, and more particularly, to an elevator intelligent control method, system, electronic device and computer storage medium based on a variable-frequency motor. Background Art

[0002] An elevator is an essential equipment for high-rise buildings, which can quickly and safely transport passengers to the designated floors. The traction system of an elevator mainly consists of a driving motor, steel wire ropes, a guide wheel and a back rope wheel.

[0003] At the same time, compared with traditional motors, variable-frequency motors have more advantages: 1) Under variable-frequency drive, the efficiency of the variable-frequency motor is about 10% higher and the temperature rise is about 20% smaller, especially in the low-frequency region of vector control or direct torque control; 2) Since the variable-frequency motor is designed specifically for variable-frequency drive, it can withstand a larger du / dt, so the insulation strength of the variable-frequency motor is higher;

[0004] 3) In terms of electromagnetic noise and vibration, the variable-frequency motor has lower noise and smaller electromagnetic vibration under variable-frequency drive than ordinary motors; 4) The variable-frequency motor is superior to ordinary motors in occasions that require frequent starting, frequent speed regulation and frequent braking. Therefore, variable-frequency motors are particularly suitable for providing lifting driving force for elevators.

[0005] Since the maximum rated power that the driving motor can provide is limited, elevators are weight-limited to ensure safety. However, in actual use, the situation of overloading elevators is very common. To address this problem, some existing technologies have started to equip elevators with driving motors with larger rated powers to improve safety through greater load-bearing redundancy, but driving motors with larger rated powers will result in greater power consumption. It can be seen that the current situation of overloading elevators has not been effectively solved. Summary of the Invention

[0006] In order to at least solve the technical problems existing in the above background art, the present invention provides an elevator intelligent control method, system, electronic device and computer storage medium based on a variable-frequency motor.

[0007] The first aspect of the present invention provides an elevator intelligent control method based on a variable-frequency motor. The elevator includes a first driving motor and a second driving motor. The driving ability of the first driving motor is weaker than that of the second driving motor, and the first driving motor is the main driving motor, while the second driving motor is the standby driving motor;

[0008] The method includes the following steps:

[0009] Obtain the first image data outside the elevator car, determine the passenger data of the passengers to enter the elevator car according to the first image data, and determine the first estimated load according to the passenger data;

[0010] Judge whether the first estimated load exceeds the driving capacity of the first drive motor. If so, switch the second drive motor to provide driving force for the elevator car.

[0011] Further, the determining the passenger data of the passengers to enter the elevator car according to the first image data includes:

[0012] Perform face recognition on the first image data, and mark each passenger according to the face recognition result;

[0013] Extract the contour data of each marked passenger, determine the passenger weight data according to the contour data, and use the passenger weight data as the passenger data.

[0014] Further, the extracting the contour data of each marked passenger includes:

[0015] Extract the first contour data of each marked passenger according to the first image data;

[0016] Switch the first image data to a bird's-eye view to obtain second image data, and extract the second contour data of each marked passenger according to the second image data;

[0017] Associate and process the first contour data and the second contour data as the contour data.

[0018] Further, the determining the first estimated load according to the passenger data includes:

[0019] Determine the second estimated load according to the passenger data, and read the actual load of the elevator car;

[0020] Calculate the first estimated load according to the second estimated load and the actual load.

[0021] Further, the method further includes:

[0022] Obtain the third image data outside the elevator car;

[0023] Determine the unmarked moving objects according to the third image data, and obtain the motion data of the moving objects;

[0024] Estimate the weight data of the moving objects according to the motion data, and use the weight data as the passenger data.

[0025] Further, estimating the weight data of the moving object based on the motion data includes:

[0026] Calculating the moving timing of the moving object relative to the elevator car, and calculating the average moving speed of the moving object;

[0027] Determining an estimation coefficient based on the moving timing and the average moving speed, and determining the weight data of the moving object based on the estimation coefficient and the passenger weight data of the passenger associated with the moving object.

[0028] Further, determining the estimation coefficient based on the moving timing and the average moving speed includes:

[0029] Judging whether the moving timing is in the early stage, the middle stage or the end stage, and judging whether the average moving speed is less than a threshold value;

[0030] If it is determined that the moving timing is in the early stage or the end stage and the average moving speed is less than the threshold value, determining a first estimation coefficient; if it is determined that the moving timing is in the early stage or the end stage and the average moving speed is greater than or equal to the threshold value, determining a second estimation coefficient; wherein, the first estimation coefficient is greater than the second estimation coefficient;

[0031] If it is determined that the moving timing is in the middle stage and the average moving speed is greater than or equal to the threshold value, determining a third estimation coefficient; if it is determined that the moving timing is in the middle stage and the average moving speed is less than the threshold value, determining a fourth estimation coefficient; wherein, the third estimation coefficient is less than the fourth estimation coefficient, and the fourth estimation coefficient is less than the second estimation coefficient;

[0032] Taking the first estimation coefficient or the second estimation coefficient or the third estimation coefficient or the fourth estimation coefficient as the estimation coefficient.

[0033] A second aspect of the present invention provides an elevator intelligent control system based on a variable-frequency motor, including an acquisition module, a processing module, a storage module, a first drive motor and a second drive motor; the processing module is electrically connected to the acquisition module, the storage module, the first drive motor and the second drive motor; wherein, the driving ability of the first drive motor is weaker than that of the second drive motor, and the first drive motor is the main drive motor, and the second drive motor is the standby drive motor;

[0034] The storage module is used to store executable computer program codes;

[0035] The acquisition module is at least used for image data outside the elevator car and transmits it to the processing module;

[0036] The processing module is configured to execute the method described in any one of the foregoing by calling the executable computer program code in the storage module.

[0037] A third aspect of the present invention provides an electronic device, including: a memory storing executable program code; a processor coupled to the memory; the processor calls the executable program code stored in the memory and executes the method described in any one of the foregoing.

[0038] A fourth aspect of the present invention provides a computer storage medium, on which a computer program is stored, and when the computer program is run by a processor, it executes the method described in any one of the foregoing.

[0039] In the solution of the present invention, the present invention is equipped with two sets of drive motors for the elevator. The first drive motor with general driving ability is used as the main drive motor to be responsible for daily non-overloaded operation, and the second drive motor with stronger driving ability is used to handle the operation under overloaded conditions. At the same time, the present invention also analyzes the passenger data outside the elevator car through image recognition technology, and based on this analysis, obtains the estimated load of the elevator, and then can switch to the second drive motor with stronger driving ability to provide driving force when it is determined to be overloaded. Thus, through the reasonable switching of the two sets of drive motors, the present invention not only ensures the safety of the elevator during overloaded operation, but also does not increase energy consumption too much. Description of the Drawings

[0040] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following will briefly introduce the drawings required to be used in the embodiments. It should be understood that the following drawings only show some embodiments of the present invention, and therefore should not be regarded as limiting the scope. For those of ordinary skill in the art, without creative efforts, other related drawings can also be obtained based on these drawings.

[0041] Figure 1 is a schematic flowchart of an elevator intelligent control method based on a variable-frequency motor disclosed in an embodiment of the present invention;

[0042] Figure 2 is a schematic structural diagram of an elevator intelligent control system based on a variable-frequency motor disclosed in an embodiment of the present invention;

[0043] Figure 3 is a schematic structural diagram of an electronic device disclosed in an embodiment of the present invention. Detailed Embodiments

[0044] To make the objectives, technical solutions and advantages of the present invention more clear, the present invention will be further described in detail below with reference to the accompanying drawings. Apparently, the described embodiments are only a part of the embodiments of the present invention, rather than all of them. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the scope of protection of the present invention.

[0045] The terms used in the embodiments of the present application are only for the purpose of describing specific embodiments, and are not intended to limit the present application. The singular forms "a", "the" and "said" used in the embodiments of the present application and the appended claims are also intended to include the plural forms, unless the context clearly indicates otherwise. "Plurality" generally includes at least two.

[0046] It should be understood that the term "and / or" used herein is only a kind of association relationship describing associated objects, indicating that three relationships may exist. For example, A and / or B may represent: A exists alone, A and B exist simultaneously, and B exists alone. In addition, the character " / " herein generally represents an "or" relationship between the associated objects before and after.

[0047] It should be understood that although the terms first, second, third, etc. may be used in the embodiments of the present application to describe..., these... should not be limited to these terms. These terms are only used to distinguish.... For example, without departing from the scope of the embodiments of the present application, the first... may also be referred to as the second..., and similarly, the second... may also be referred to as the first....

[0048] Depending on the context, the words "if", "when" as used herein may be interpreted as "when" or "while" or "in response to determining" or "in response to detecting". Similarly, depending on the context, the phrase "if determined" or "if detected (stated condition or event)" may be interpreted as "when determined" or "in response to determining" or "when detected (stated condition or event)" or "in response to detecting (stated condition or event)".

[0049] It should also be noted that the term "comprising", "including" or any other variant thereof is intended to cover non-exclusive inclusion, so that a commodity or system including a series of elements not only includes those elements, but also includes other elements not explicitly listed, or further includes elements inherent to such commodity or system. Without more limitations, the element defined by the statement "including one..." does not exclude the existence of another identical element in the commodity or system including the said element.

[0050] The preferred embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

[0051] Please refer to Figure 1 , Figure 1 which is a schematic flowchart of an elevator intelligent control method based on a variable-frequency motor disclosed in an embodiment of the present invention. As Figure 1 shown, in an embodiment of the present invention, an elevator intelligent control method based on a variable-frequency motor, the elevator includes a first driving motor and a second driving motor, the driving ability of the first driving motor is weaker than that of the second driving motor, and the first driving motor is the main driving motor, and the second driving motor is the standby driving motor;

[0052] The method includes the following steps:

[0053] Obtain first image data outside the elevator car, determine passenger data of passengers to enter the elevator car according to the first image data, and determine a first estimated load according to the passenger data;

[0054] Judge whether the first estimated load exceeds the driving ability of the first driving motor. If so, switch the second driving motor to provide driving force for the elevator car.

[0055] In an embodiment of the present invention, as described in the background art, in the prior art, to ensure the safe operation of the elevator under overload conditions, a driving motor with a larger driving force redundancy is set up, but this method consumes more power during non-overload operation, and the economy is poor. To solve this problem, the present invention is equipped with two sets of driving motors for the elevator. The first driving motor with general driving ability is used as the main driving motor to be responsible for daily non-overload operation, and the second driving motor with stronger driving ability is used to handle the operation under overload conditions. At the same time, the present invention also uses image recognition technology to analyze the passenger data outside the elevator car, and accordingly analyzes and obtains the first estimated load of the elevator, and then can switch the second driving motor with stronger driving ability to provide driving force when it is determined to be overloaded. Therefore, through the reasonable switching of the two sets of driving motors, the present invention not only ensures the safety of the elevator during overload operation, but also does not increase energy consumption too much.

[0056] Further, the determining the passenger data of passengers to enter the elevator car according to the first image data includes:

[0057] Perform face recognition on the first image data, and mark each passenger according to the face recognition result;

[0058] Extract the contour data of each marked passenger, determine the passenger weight data according to the contour data, and use the passenger weight data as the passenger data.

[0059] In an embodiment of the present invention, by performing face recognition on the first image data captured outside the elevator car, each passenger can be identified, and the contour data of each passenger's body can be extracted. Based on this, the weight data of each passenger can be estimated. Thus, the present invention can determine the weight data of the passengers waiting to take the elevator before the passengers enter the elevator, and further can make a decision in advance whether to switch the drive motor.

[0060] Among them, first calculate the volume of the passenger based on the contour data of the passenger, and the weight data of each passenger can be calculated according to the conventional density data of the human body.

[0061] Further, the contour data of each passenger with the mark extracted includes:

[0062] Extract the first contour data of each passenger with the mark according to the first image data;

[0063] Switch the first image data to a bird's-eye view to obtain second image data, and extract the second contour data of each passenger with the mark according to the second image data;

[0064] After associating and processing the first contour data and the second contour data, use them as the contour data.

[0065] In an embodiment of the present invention, it is actually impossible to accurately calculate the volume of a passenger based only on the contour data from a single perspective. Therefore, the present invention calculates the volume of the passenger from the contour data obtained from two perspectives, namely the side view and the top view. Among them, the first image data can be a side view image captured by a camera installed above the elevator door. By performing image recognition on it, the first contour data from the side view, that is, the "length and width", can be extracted. At the same time, by using image conversion technology to convert the first image data into a bird's-eye view, the second contour data, that is, the "thickness" of the passenger, can be obtained at this time. In addition, the first image data can also be several images captured by multiple cameras installed at different angular positions. Using multiple images for bird's-eye view conversion can obtain more accurate second image data.

[0066] Further, the determination of the first estimated load according to the passenger data includes:

[0067] Determine a second estimated load according to the passenger data, and read the actual load of the elevator car;

[0068] Calculate the first estimated load according to the second estimated load and the actual load.

[0069] In an embodiment of the present invention, after determining the passenger data of the passengers waiting for the elevator outside the elevator, the total weight of these passengers, that is, the second estimated load, can be determined. At the same time, the actual load of the current elevator can be analyzed from the sensing data obtained by the sensors (such as cameras) equipped on the elevator itself. The sum of the two can be used to determine the first estimated load.

[0070] Among them, the actual load can be the weight of the existing passengers in the elevator at present, or the remaining load after the elevator stops at the target floor and passengers get off. The former is particularly suitable for a type of intermediate floor where there is basically no situation of passengers getting off the elevator (for example, floors 2-8 are the office areas of Company A, and floors 9-12 are the office areas of Company B. Obviously, the employees on floors 9-12 are not allowed to get off the elevator on floors 2-8), and the latter is suitable for floors where there are no restrictions on getting on and off the elevator, such as the first floor. In addition, for the determination of passengers who want to get off the elevator, the floor button pressed when they get on the elevator can be analyzed through image recognition technology. The weight can also be analyzed by the method of combining side view and top view as described above, which will not be repeated here.

[0071] Further, the method further includes:

[0072] Obtain the third image data outside the elevator car;

[0073] Determine the unmarked moving objects according to the third image data, and obtain the motion data of the moving objects;

[0074] Estimate the weight data of the moving objects according to the motion data, and use the weight data as the passenger data.

[0075] In an embodiment of the present invention, passengers often carry objects with a relatively large weight when taking the elevator, and at this time, their weights need to be considered and estimated. Specifically, the present invention obtains the third image data (which can be several frames) during the process of passengers starting to enter the elevator car. Since the passengers have been marked previously, those unmarked moving objects that meet the set conditions can be regarded as the carried objects at this time, and the motion data shown by them in the third image data can be analyzed, and this motion data can be used to estimate the weight of the carried objects. Finally, the estimated weight data is used as a part of the passenger data, so that the finally calculated second estimated load includes the passengers and the carried objects, which is more accurate.

[0076] In addition, before analyzing the moving objects, they should be screened and filtered to filter out those objects with very small volume and very long and narrow shape, because these objects are generally very light and have little impact on the estimation of the second estimated load. Only those objects with a certain volume and not much difference in length and width need to be used as moving objects, such as suitcases, cardboard boxes, etc. Such settings can effectively reduce the data processing load and improve the data processing efficiency.

[0077] Further, estimating the weight data of the moving object according to the motion data includes:

[0078] Calculating the moving timing of the moving object relative to the elevator car, and calculating the average moving speed of the moving object;

[0079] Determining an estimation coefficient according to the moving timing and the average moving speed, and determining the weight data of the moving object according to the estimation coefficient and the passenger weight data of the passenger associated with the moving object.

[0080] In the embodiment of the present invention, it is generally difficult to directly observe the weight of the carried object. The present invention adopts an indirect analysis method, that is, estimating by analyzing the motion performance of the passenger carrying the moving object. Specifically, analyze when the passenger carries the moving object into the elevator car and what the average speed of entry is, and determine the estimation coefficient according to the two parameters. At the same time, the object carried by the passenger is generally equivalent to his / her weight. Therefore, the present invention multiplies the previously estimated passenger weight by the estimation coefficient to determine the approximate weight of the carried object.

[0081] Among them, for the association relationship between the passenger and the moving object, it can be determined based on aspects such as the synchronization of their movements and the stability of the distance. This belongs to the conventional image association analysis technology, and the present invention will not elaborate here.

[0082] Further, determining the estimation coefficient according to the moving timing and the average moving speed includes:

[0083] Judging whether the moving timing is in the early stage, middle stage or end stage, and judging whether the average moving speed is less than a threshold;

[0084] If it is determined that the moving timing is in the early stage or end stage and the average moving speed is less than the threshold, then determine a first estimation coefficient; if it is determined that the moving timing is in the early stage or end stage and the average moving speed is greater than or equal to the threshold, then determine a second estimation coefficient; wherein, the first estimation coefficient is greater than the second estimation coefficient;

[0085] If it is determined that the moving timing is in the middle stage and the average moving speed is greater than or equal to the threshold, then determine a third estimation coefficient; if it is determined that the moving timing is in the middle stage and the average moving speed is less than the threshold, then determine a fourth estimation coefficient; wherein, the third estimation coefficient is less than the fourth estimation coefficient, and the fourth estimation coefficient is less than the second estimation coefficient;

[0086] Use the first estimation coefficient or the second estimation coefficient or the third estimation coefficient or the fourth estimation coefficient as the estimation coefficient.

[0087] In an embodiment of the present invention, when the object carried by a passenger is heavy, to avoid interference from co-riders, the passenger generally chooses to enter the elevator first (i.e., at the inner position of the elevator) or enter the elevator last (i.e., at the position near the door), and the slower the moving speed, the heavier the object. Based on this, the present invention adjusts through the above-mentioned first estimation coefficient and second estimation coefficient. In addition, it is also possible that the passenger enters the elevator in the middle due to other special reasons. For this situation, the present invention adjusts through the third estimation coefficient and the fourth estimation coefficient, but a smaller estimation coefficient is used for this situation, that is, this set of estimation coefficients is smaller than the previous set of estimation coefficients.

[0088] Please refer to Figure 2 , Figure 2 which is a schematic structural diagram of an elevator intelligent control system based on a variable-frequency motor disclosed in an embodiment of the present invention. As Figure 2 shown, an elevator intelligent control system based on a variable-frequency motor in an embodiment of the present invention includes an acquisition module (101), a processing module (102), a storage module (103), a first drive motor (104), and a second drive motor (105); the processing module (102) is electrically connected to the acquisition module (101), the storage module (103), the first drive motor (104), and the second drive motor (105); wherein, the driving ability of the first drive motor (104) is weaker than that of the second drive motor (105), and the first drive motor (104) is the main drive motor, and the second drive motor (105) is the standby drive motor;

[0089] The storage module (103) is used to store executable computer program code;

[0090] The acquisition module (101) is at least used for image data outside the elevator car and transmits it to the processing module (102);

[0091] The processing module (102) is used to execute the method described in any of the foregoing embodiments by calling the executable computer program code in the storage module.

[0092] For the specific functions of an elevator intelligent control system based on a variable-frequency motor in this embodiment, refer to the foregoing Embodiment 1. Since the system in this embodiment adopts all the technical solutions of the foregoing embodiment, it at least has all the beneficial effects brought by the technical solutions of the foregoing embodiment, and will not be elaborated herein one by one.

[0093] Please refer to Figure 3 , Figure 3An electronic device disclosed in an embodiment of the present invention includes: a memory storing executable program code; a processor coupled to the memory; the processor calls the executable program code stored in the memory and executes the method according to any of the foregoing embodiments.

[0094] An embodiment of the present invention also discloses a computer storage medium, on which a computer program is stored, and when the computer program is run by a processor, it executes the method according to any of the foregoing embodiments.

[0095] The computer storage medium of the embodiment of the present invention may adopt any combination of one or more computer-readable media. The computer-readable medium may be a computer-readable signal medium or a computer-readable storage medium. The computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the above. More specific examples (non-exhaustive list) of the computer-readable storage medium include: an electrical connection having one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In this document, the computer-readable storage medium may be any tangible medium that contains or stores a program, and the program can be used by or in combination with an instruction execution system, apparatus, or device.

[0096] The computer-readable signal medium may include a data signal propagated in a baseband or as part of a carrier wave, which carries the computer-readable program code. Such a propagated data signal may take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. The computer-readable signal medium may also be any computer-readable medium other than the computer-readable storage medium, and the computer-readable medium can send, propagate, or transmit a program for use by or in combination with an instruction execution system, apparatus, or device.

[0097] The program code included on the computer-readable medium can be transmitted by any suitable medium, including but not limited to wireless, wire, optical cable, RF, etc., or any suitable combination of the above.

[0098] Computer program code for performing the operations of the present invention may be written in one or more programming languages or combinations thereof, including object-oriented programming languages such as Java, Smalltalk, C++, and also including conventional procedural programming languages such as the "C" language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer, or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., through the Internet using an Internet service provider).

[0099] Note that the above is only a preferred embodiment of the present invention and the technical principles applied. Those skilled in the art will understand that the present invention is not limited to the specific embodiments described herein, and various obvious changes, re-adjustments, and substitutions can be made by those skilled in the art without departing from the protection scope of the present invention. Therefore, although the present invention has been described in detail through the above embodiments, the present invention is not limited to the above embodiments. Without departing from the concept of the present invention, more other equivalent embodiments may be included, all of which fall within the protection scope of the present invention.

Claims

1. An elevator intelligent control method based on a variable-frequency motor, characterized in that: The elevator includes a first driving motor and a second driving motor. The driving capacity of the first driving motor is weaker than that of the second driving motor, and the first driving motor is the main driving motor while the second driving motor is the standby driving motor; The method includes the following steps: Obtain first image data outside the elevator car, determine passenger data of passengers to enter the elevator car according to the first image data, and determine a first estimated load according to the passenger data; Judge whether the first estimated load exceeds the driving capacity of the first driving motor according to the first estimated load. If so, switch the second driving motor to provide driving force for the elevator car; The determining the first estimated load according to the passenger data includes: Determine a second estimated load according to the passenger data, and read the actual load of the elevator car; Calculate the first estimated load according to the second estimated load and the actual load; The method further includes: Obtain third image data outside the elevator car; Determine unmarked moving objects according to the third image data, and obtain motion data of the moving objects; Estimate weight data of the moving objects according to the motion data, and use the weight data as the passenger data; The estimating the weight data of the moving objects according to the motion data includes: Calculate the moving timing of the moving object relative to the elevator car, and calculate the average moving speed of the moving object; Determine an estimation coefficient according to the moving timing and the average moving speed, and determine the weight data of the moving object according to the estimation coefficient and the passenger weight data of the passengers associated with the moving object; The determining the estimation coefficient according to the moving timing and the average moving speed includes: Judge whether the moving timing is in the early stage, middle stage or end stage, and judge whether the average moving speed is less than a threshold value; If it is determined that the moving timing is in the early stage or end stage and the average moving speed is less than the threshold value, determine a first estimation coefficient; if it is determined that the moving timing is in the early stage or end stage and the average moving speed is greater than or equal to the threshold value, determine a second estimation coefficient; wherein, the first estimation coefficient is greater than the second estimation coefficient; If it is determined that the moving timing is in the middle stage and the average moving speed is greater than or equal to the threshold value, determine a third estimation coefficient; if it is determined that the moving timing is in the middle stage and the average moving speed is less than the threshold value, determine a fourth estimation coefficient; wherein, the third estimation coefficient is less than the fourth estimation coefficient, and the fourth estimation coefficient is less than the second estimation coefficient; Use the first estimation coefficient or the second estimation coefficient or the third estimation coefficient or the fourth estimation coefficient as the estimation coefficient.

2. The elevator intelligent control method based on a variable-frequency motor according to claim 1, characterized in that: The determining the passenger data of passengers to enter the elevator car according to the first image data includes: Perform face recognition on the first image data, and mark each passenger according to the face recognition result; Extract the contour data of each marked passenger, determine the passenger weight data according to the contour data, and use the passenger weight data as the passenger data.

3. The elevator intelligent control method based on a variable-frequency motor according to claim 2, characterized in that: The extracting the contour data of each marked passenger includes: Extract the first contour data of each marked passenger according to the first image data; Switch the first image data to a bird's-eye view to obtain second image data, and extract the second contour data of each marked passenger according to the second image data; Associate and process the first contour data and the second contour data as the contour data.

4. An elevator intelligent control system based on a variable-frequency motor, comprising an acquisition module, a processing module, a storage module, a first drive motor, and a second drive motor; the processing module is electrically connected to the acquisition module, the storage module, the first drive motor, and the second drive motor; wherein, The driving ability of the first driving motor is weaker than that of the second driving motor, and the first driving motor is the main driving motor, and the second driving motor is the standby driving motor; The storage module is used to store executable computer program codes; The acquisition module is at least used for image data outside the elevator car and transmits it to the processing module; It is characterized in that: the processing module is used to execute the method according to any one of claims 1-3 by calling the executable computer program code in the storage module.

5. An electronic device, comprising: A memory storing executable program codes; A processor coupled to the memory; It is characterized in that: the processor calls the executable program code stored in the memory and executes the method according to any one of claims 1-3.

6. A computer storage medium, on which a computer program is stored, characterized in that: The computer program, when run by the processor, executes the method according to any one of claims 1-3.

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