Method and system for rapidly detecting balance coefficient of elevator

Abstract

The invention discloses a rapid detection method and system for an elevator balance coefficient, relates to the technical field of elevator detection, and can realize efficient and accurate detection of the balance coefficient through integration of systematized load test, high-precision current monitoring and intelligent data analysis. The elevator balance coefficient rapid detection method comprises the following steps of load working condition setting, current monitoring and data recording, current average value calculation, curve graph construction, balance coefficient solving and result output and verification.

Description

Technical Field

[0001] The present invention relates to the technical field of elevator detection, and in particular to a method and system for quickly detecting the balance coefficient of an elevator, which can realize the rapid measurement and calculation of the balance coefficient of the elevator. Background Art

[0002] At present, as an important transportation device in buildings, elevators undertake the important task of transporting people and goods up and down floors. Therefore, people are paying more and more attention to the safety and stability of elevator operation.

[0003] Specifically, if the balance coefficient of a traction-driven elevator is too small, the following problems will occur: the traction capacity of the elevator decreases, energy consumption increases, elevator braking becomes difficult, and the comfort of the elevator deteriorates, etc., which are all potential hazards to the safe operation of the elevator. Appendix G of GB7588-2003 "Safety Code for the Manufacture and Installation of Lifts" gives the definition: the balance coefficient, that is, the amount by which the rated load and the car mass are balanced by the counterweight or balance weight; Item 8.5 of TSGT7001-2009 "Rules for Elevator Supervision and Periodic Inspection - Traction and Forced Drive Elevators" "Balance Coefficient Test" stipulates that the balance coefficient of a traction elevator should be between 0.40 and 0.50 or meet the design value of the manufacturer (reformer). Among them, most traction-driven elevators manufactured in China adopt a balance coefficient value of 0.40 - 0.50; if the elevator balance coefficient is too large or too small, it will bring various hazards to the elevator and users, so it is particularly important to strengthen the detection of the balance coefficient.

[0004] In the prior art, traditional elevator balance coefficient detection methods usually rely on empirical formulas and manual measurements, and this method has many deficiencies. On the one hand, the manual measurement process is cumbersome, requires professional personnel to operate, and is easily affected by human factors, resulting in low accuracy of the measurement results; on the other hand, traditional methods need to monitor the dynamic current, the unified horizontal position of the car and the counterweight, and the condition of uniform operation under different load conditions, and cannot accurately and real-time monitor the balance state during the operation of the elevator, affecting the accuracy of the elevator balance coefficient result. With the continuous development of elevator technology and the improvement of the intelligent level, the market has put forward higher requirements for the accuracy and convenience of elevator balance coefficient detection methods; in other words, the elevator balance coefficient is an important parameter in elevator design and operation, which is directly related to the safety, stability and energy-saving effect of the elevator.

[0005] Therefore, how to provide a method and system for detecting the balance coefficient of an elevator, which can effectively improve the safety and energy efficiency of elevator operation, has become a technical problem that needs to be solved urgently by those skilled in the art. Summary of the Invention

[0006] The object of the present invention is to provide a method and system for quickly detecting the balance coefficient of an elevator, which can achieve efficient and accurate detection of the balance coefficient through the integration of systematic load tests, high-precision current monitoring and intelligent data analysis.

[0007] To achieve the above object, the present invention adopts the following technical solutions: A method for quickly detecting the balance coefficient of an elevator, comprising the following steps: Step S1, load condition setting: preset multiple load conditions in the elevator system, covering typical operating conditions from no-load to full-load; Step S2, current monitoring and data recording: for each load condition, start the elevator to run the whole process upward and downward respectively; during the running process, the input current of the elevator drive motor is monitored in real time through a high-precision current sensor; the data acquisition system synchronously records the whole-process current data of each run and forms a time series; Step S3, calculation of current average value: statistically analyze the upward and downward current time series of each load condition respectively, and calculate its average value as the upward load current I up and the downward load current I down ; Step S4, construction of curve graph: with the load percentage as the abscissa and the corresponding I up and I down as the ordinate, establish a two-dimensional coordinate system; mark the current average value data points of each load condition in the coordinate system, and use the data fitting algorithm to draw the upward current-load curve I up (L) and the downward current-load curve I down (L); Step S5, solution of balance coefficient: analyze the geometric characteristics of the two curves, and the balance coefficient K is solved by the derivative method and the intersection method; Step S6, result output and verification: the system automatically outputs the balance coefficient value and the corresponding curve graph, which can be verified by comparing with the detection results of the traditional weight method, and ensure that the measurement accuracy meets the standard requirements, and the error ≤ 3%.

[0008] In practical applications, in the load condition setting, the no-load is 0% rated load, the full-load is 100% rated load, and the typical operating conditions are set with five load levels of 0%, 25%, 50%, 75%, and 100% increasing by 25%.

[0009] Among them, in the construction of the curve graph, the data fitting algorithm is polynomial fitting.

[0010] Specifically, in the solution of the balance coefficient, the derivative method is: calculate the derivatives of the two curves at a certain rated load point, and use the formula to solve; The intersection method is as follows: find the intersection point of two curves, and the load value corresponding to this point is the equivalent load corresponding to the theoretical balance coefficient.

[0011] An elevator balance coefficient rapid detection system includes: a current monitoring and acquisition module, and a handheld display module connected to the current monitoring and acquisition module; The current monitoring and acquisition module includes: a microprocessor, and a signal acquisition and conversion module, a first data storage module, an output module, and a first power supply module connected to the microprocessor; the signal acquisition and conversion module is connected with a current transformer, and the current transformer is connected with the first power supply module, and the first power supply module is connected with a first power supply; The handheld display module includes: a terminal microprocessor, and an input module, a second data storage module, an early warning module, a display interface module, a key module, and a second power supply module connected to the terminal microprocessor; the input module is connected with the output module of the current monitoring and acquisition module, the display interface module is connected with a display module, and the second power supply module is connected with a second power supply.

[0012] In actual application, the current transformer is integrated into the elevator control cabinet and is used to collect the up and down current data during the operation of the motor in real time.

[0013] Among them, the microprocessor is used to execute data fitting and algorithm calculation to calculate the average current and construct a curve graph.

[0014] Specifically, the display module provides a graphical interface and is used to display the balance coefficient solution result, which can intuitively display the current-load curve and the balance coefficient value, and at the same time supports data export and report generation.

[0015] Compared with the prior art, the elevator balance coefficient rapid detection method and system of the present invention have the following advantages: In the elevator balance coefficient rapid detection method and system provided by the present invention, since five-level typical load conditions cover the full range from no-load to full-load, an integrated current sensor is used to collect the motor running current in real time, and the average up and down current of each condition is calculated after filtering; a current-load curve is constructed by cubic spline interpolation to intuitively present the non-linear change law of current with load; the system combines the derivative method and the intersection method, calculates the difference in current change rate at the rated load point, and locates the theoretical balance point of the curve, and finally outputs the balance coefficient through weighted average of the two algorithms; therefore, the full-automatic load adjustment and data acquisition improve the detection efficiency by more than 40%, the combination of high-precision sensors and algorithms controls the error within 3%, and the visual curve analysis enhances the result interpretation; at the same time, the detection process does not require manual intervention, effectively avoiding subjective errors, and providing reliable data support and scientific detection for the safe operation, debugging and maintenance of elevators, as well as energy efficiency optimization. Description of the Drawings

[0016] Figure 1 It is a schematic flowchart of the elevator balance coefficient rapid detection method provided by the embodiment of the present invention; Figure 2 It is a schematic structural diagram of the elevator balance coefficient rapid detection system provided by the embodiment of the present invention; Figure 3 It is a reference diagram of the usage state of the elevator balance coefficient rapid detection system provided by the embodiment of the present invention.

[0017] Reference Signs: 1 - Current Monitoring and Acquisition Module; 11 - Microprocessor; 12 - Signal Acquisition and Conversion Module; 13 - First Data Storage Module; 14 - Output Module; 15 - First Power Supply Module; 16 - Current Transformer; 17 - First Power Supply; 2 - Handheld Display Module; 21 - Terminal Microprocessor; 22 - Input Module; 23 - Second Data Storage Module; 24 - Warning Module; 25 - Display Interface Module; 26 - Button Module; 27 - Second Power Supply Module; 28 - Display Module; 29 - Second Power Supply. Detailed Description of the Invention

[0018] The elevator balance coefficient rapid detection method and system provided by the embodiment of the present invention can accurately solve the balance coefficient through systematic load tests and current monitoring, combined with data analysis algorithms.

[0019] For the convenience of understanding, the elevator balance coefficient rapid detection method and system provided by the embodiment of the present invention will be described in detail below with reference to the drawings in the specification.

[0020] The embodiment of the present invention provides an elevator balance coefficient rapid detection method, as Figure 1 shown, including the following steps: Step S1, Load Condition Setting: Preset multiple load conditions in the elevator system to cover typical operating conditions from no-load to full-load; Step S2, Current Monitoring and Data Recording: For each load condition, start the elevator to run the whole process up and down respectively; during the running process, use a high-precision current sensor to monitor the input current of the elevator drive motor in real time; the data acquisition system synchronously records the whole-process current data of each run and forms a time series; Step S3, Calculation of Current Average Value: Conduct statistical analysis on the up and down current time series of each load condition respectively, and calculate its average value as the up-load current I up and the down-load current I down ; Step S4, Curve Graph Construction: Use the load percentage as the abscissa, and the corresponding Iup and I down Taking the load as the abscissa and I as the ordinate, a two-dimensional coordinate system is established; the average current data points of each load condition are marked in the coordinate system, and the data fitting algorithm is used to draw the upward current-load curve I up (L) and the downward current-load curve I down (L); Step S5, balance coefficient solution: Analyze the geometric characteristics of the two curves, and the balance coefficient K is solved by the derivative method and the intersection point method; Step S6, result output and verification: The system automatically outputs the balance coefficient value and the corresponding curve graph, which can be verified by comparing with the test results of the traditional weight method, and ensure that the measurement accuracy meets the standard requirements, and the error ≤ 3%.

[0021] Another embodiment of the present invention provides a rapid detection system for the elevator balance coefficient, as Figure 2 shown, including: a current monitoring and acquisition module 1, and a handheld display module 2 connected to the current monitoring and acquisition module 1; The current monitoring and acquisition module 1 includes: a microprocessor 11, and a signal acquisition and conversion module 12, a first data storage module 13, an output module 14 and a first power supply module 15 connected to the microprocessor 11; the signal acquisition and conversion module 12 is connected with a current transformer 16, and the current transformer 16 is connected to the first power supply module 15, and the first power supply module 15 is connected with a first power supply 17; The handheld display module 2 includes: a terminal microprocessor 21, and an input module 22, a second data storage module 23, an early warning module 24, a display interface module 25, a key module 26 and a second power supply module 27 connected to the terminal microprocessor 21; the input module 22 is connected to the output module 14 of the current monitoring and acquisition module 1, the display interface module 25 is connected with a display module 28, and the second power supply module 27 is connected with a second power supply 29.

[0022] Compared with the prior art, the elevator balance coefficient rapid detection method and system described in the embodiments of the present invention have the following advantages: In the elevator balance coefficient rapid detection method and system provided by the embodiments of the present invention, since five-level typical load conditions cover the full range from no-load to full-load, an integrated current sensor is used to collect the motor running current in real time, and the average current of each condition for upward and downward runs is calculated after filtering; a current-load curve is constructed by cubic spline interpolation to visually present the non-linear variation law of current with load; the system combines the derivative method and the intersection method, calculates the difference in current change rate at the rated load point, and locates the theoretical balance point of the curve. Finally, the balance coefficient is output by weighted average of the two algorithms; therefore, the full-automatic load adjustment and data collection improve the detection efficiency by more than 40%, the combination of high-precision sensors and algorithms controls the error within 3%, and the visual curve analysis enhances the result interpretability; at the same time, the detection process requires no manual intervention, effectively avoiding subjective errors, and providing reliable data support and scientific detection for the safe operation, debugging and maintenance of elevators, as well as energy efficiency optimization.

[0023] In actual application, as Figure 1 shown, in the above load condition setting, the no-load is 0% of the rated load, the full-load is 100% of the rated load, and the typical operating conditions can be set at five load levels of 0%, 25%, 50%, 75%, and 100% in 25% increments.

[0024] Among them, as Figure 1 shown, in the construction of the above curve graph, the data fitting algorithm can be polynomial fitting.

[0025] Specifically, as Figure 1 shown, in the solution of the above balance coefficient, the derivative method can be: calculating the derivatives of two curves at a certain rated load point, and using the formula to solve; The intersection method can be: finding the intersection point of two curves, and the load value corresponding to this point is the equivalent load corresponding to the theoretical balance coefficient.

[0026] In actual application, as Figure 2 shown, the above current transformer 16 can be integrated into the elevator control cabinet and used to collect the upward and downward current data during the motor operation in real time.

[0027] Among them, as Figure 2 shown, the above microprocessor 11 can be used to execute data fitting and algorithm calculation to calculate the average current and construct the curve graph.

[0028] Specifically, as Figure 2 shown, the above display module 28 can provide a graphical interface and be used to display the solution result of the balance coefficient, which can visually display the current-load curve and the balance coefficient value, and at the same time support data export and report generation.

[0029] Next, with the help of the attached Figure 3A detailed description of the working process of the elevator balance coefficient rapid detection method and system provided by the embodiments of the present invention is as follows: Equipped with the following core devices: a load setting module (supporting automatic / manual adjustment of 0-100% rated load), a monitoring module integrated with a high-precision current sensor (accuracy ≥ 0.5 level), a data processing unit with a built-in microprocessor, and a graphical result output module; after the system is started, the operator sets the detection parameters through the interface, including load levels (such as 0%, 25%, 50%, 75%, 100% rated load) and the number of runs for each working condition (it is recommended to be ≥ 3 times to eliminate random errors); The tester sets the detection parameters through the system preset interface, including 5-level typical load conditions of no-load (0%), 25%, 50%, 75% to full-load (100%); according to the set value, the system automatically applies the corresponding weights through the load adjustment device to ensure that the load accuracy of each test is controlled within the range of ±1%; entering the current monitoring link, the elevator completes the full-stroke operation of going up and down under each load condition in turn; the high-precision current sensor integrated in the control cabinet collects the three-phase current of the drive motor in real time at a sampling rate of 100Hz; the data acquisition module synchronously records the load information and the current time series to form the original data set; in the data calculation stage, the system filters the up and down current data of each load condition respectively, and calculates the effective value average after removing abnormal interference values; the sliding window algorithm is adopted in this process to ensure that the current characteristics can still be accurately captured when the load changes suddenly; in the curve construction link, the system takes the load percentage as the abscissa and the current average value as the ordinate, and uses the cubic spline interpolation method to generate a smooth up and down current-load curve; this curve intuitively shows the non-linear relationship between the current and the load, providing a data basis for solving the balance coefficient; in the balance coefficient solving stage, the system adopts a dual-algorithm fusion mechanism: first, calculate the difference in the current change rate at the rated load point (100%) through the derivative method, and then combine the intersection method to locate the theoretical balance point of the up and down curves; finally, the balance coefficient takes the weighted average of the results of the two algorithms, effectively improving the calculation accuracy; in the result output stage, the system automatically generates a PDF report containing the balance coefficient value, the curve comparison chart and the detection conclusion; the three-dimensional visualization module in the report can dynamically display the current distribution characteristics under different loads, providing an intuitive basis for elevator commissioning; Verified by experiments, the detection error of this system is ≤ 3%, and the efficiency is increased by more than 40% compared with the traditional method.

[0030] In summary, the elevator balance coefficient rapid detection method and system provided by the embodiments of the present invention mainly have the following advantages: I. Significantly improved detection efficiency: Traditional detection methods rely on manual loading of weights and observing data, with a cumbersome process and long time consumption. This invention realizes the automation of load adjustment, real-time monitoring of current, and intelligent data analysis through an automated system process. The system can preset multiple load conditions, automatically complete elevator operation tests under different load conditions, and collect and store current data in real time. Compared with traditional methods, the detection cycle is shortened by more than 50%, greatly improving the detection efficiency and meeting the high-frequency detection requirements of modern elevators. II. Comprehensively enhanced detection accuracy: This invention uses high-precision current sensors to ensure the accuracy of current data acquisition. By covering the full range of operating conditions from no load to full load for detection, a complete current-load data set is constructed to avoid errors caused by insufficient coverage of operating conditions in traditional methods. Combining advanced data fitting algorithms and mathematical models, in-depth analysis is carried out on the current-load curve to accurately solve the balance coefficient. Experiments show that compared with the traditional weight method, the error of the detection results of this invention can be controlled within 3%, significantly improving the detection accuracy. III. Intuitive and clear result presentation: The system automatically generates a current-load curve graph and a balance coefficient numerical report through a graphical interface. The curve graph intuitively shows the variation law of current under different load conditions, and technicians can quickly identify the balance state. Compared with the tabular data in traditional methods, the visual results are more convenient for analyzing the operating characteristics of elevators and providing an intuitive basis for debugging and maintenance. IV. Significantly improved elevator operation optimization effect: Accurate detection of the balance coefficient is the basis for the safe and efficient operation of elevators. This invention helps technicians optimize elevator configurations by providing accurate balance coefficients. Precise control of the balance coefficient can improve elevator operation efficiency, reduce energy consumption, and extend the service life of equipment. For elevator manufacturing enterprises and maintenance units, this invention can reduce detection costs and improve service quality, with significant economic and social benefits.

[0031] The above is only the specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art within the technical scope disclosed by the present invention can easily think of changes or substitutions, which should all be covered within the protection scope of the present invention. Therefore, the protection scope of the present invention should be subject to the protection scope of the claimed rights.

Claims

1. A rapid detection method for the balance coefficient of an elevator, characterized in that, It includes the following steps: Step S1, load condition setting: Preset multiple load conditions in the elevator system to cover typical operating conditions from no-load to full-load; Step S2, current monitoring and data recording: For each load condition, start the elevator to run the entire up and down journey respectively; During the operation, the input current of the elevator drive motor is monitored in real time through a high-precision current sensor; The data acquisition system synchronously records the full-process current data of each operation and forms a time series; Step S3, calculation of average current: Statistical analysis is respectively carried out on the ascending and descending current time series of each load condition, and their averages are calculated as the ascending load current I up and the descending load current I down ; Step S4, Curve Graph Construction: With the load percentage as the abscissa and the corresponding I up and I down as the ordinate, establish a two-dimensional coordinate system; mark the data points of the average current of each load condition in the coordinate system, and use the data fitting algorithm to draw the upward current-load curve I up (L) and the downward current-load curve I down (L); Step S5, counterweight coefficient solution: Analyze the geometric characteristics of the two curves, and the counterweight coefficient K is solved by the derivative method and the intersection point method; Step S6, result output and verification: The system automatically outputs the counterweight coefficient value and the corresponding curve graph, which can be verified by comparing with the detection results of the traditional weight method, and ensure that the measurement accuracy meets the standard requirements and the error ≤ 3%.

2. The quick detection method for the elevator balance coefficient according to claim 1, characterized in that In the load condition setting, the no-load is 0% rated load, the full-load is 100% rated load, and the typical operating conditions are set with five load levels of 0%, 25%, 50%, 75%, and 100% increasing by 25%.

3. The quick detection method of the elevator balance coefficient according to claim 1, characterized in that In the construction of the curve graph, the data fitting algorithm is polynomial fitting.

4. The quick detection method for the elevator balance coefficient according to claim 1, characterized in that In the solution of the balance coefficient, the derivative method is as follows: calculate the derivatives of two curves at a certain rated load point and use the formula to solve; The intersection point method is: Find the intersection point of the two curves, and the load value corresponding to this point is the equivalent load corresponding to the theoretical counterweight coefficient.

5. A rapid detection system for the balance coefficient of an elevator, characterized in that, It includes: A current monitoring and acquisition module, and a handheld display module connected to the current monitoring and acquisition module; The current monitoring and acquisition module includes: a microprocessor, and a signal acquisition and conversion module, a first data storage module, an output module, and a first power supply module connected to the microprocessor; The signal acquisition and conversion module is connected with a current transformer, and the current transformer is connected with the first power supply module, and the first power supply module is connected with a first power supply; The handheld display module includes: a terminal microprocessor, and an input module, a second data storage module, an early warning module, a display interface module, a key module, and a second power supply module connected to the terminal microprocessor; The input module is connected with the output module of the current monitoring and acquisition module, the display interface module is connected with a display module, and the second power supply module is connected with a second power supply.

6. The elevator balance coefficient rapid detection system according to claim 5, wherein The current transformer is integrated in the elevator control cabinet and is used to collect the up and down current data during the operation of the motor in real time.

7. The elevator balance coefficient rapid detection system according to claim 5, characterized in that The microprocessor is used to execute data fitting and algorithm calculation to calculate the average current and construct a curve graph.

8. The elevator balance coefficient rapid detection system according to claim 5, characterized in that, The display module provides a graphical interface and is used to display the solution result of the counterweight coefficient, can visually display the current-load curve and the counterweight coefficient value, and at the same time supports data export and report generation.

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