Multi-car intelligent parallel elevator force load dynamic monitoring method

Abstract

This invention discloses a method for dynamic monitoring of the applied load in a multi-car intelligent parallel elevator. The elevator system includes multiple cars, at least two main tracks, and a switching track. The switching track connects two different main tracks. During upward or downward movement, the car switches main tracks via the switching track to continue moving upward or downward. The car is equipped with a drive device. The monitoring method includes the following steps: 1) Calculating the theoretical applied load data A of the car; 2) Acquiring the load information of the car in real time; 3) Detecting the real-time applied load data B of the force-applying mechanism at the detection position of the car, comparing the real-time applied load data B with the corresponding theoretical applied load data A, and calculating the output deviation and its trend Δ; 4) Setting the critical zone Δ of the elevator applied load. i The method determines the critical zone where the output deviation and its trend Δ are located; different critical zones require different operations. This invention's dynamic monitoring method monitors the load on the force-applying mechanism in real time, ensuring normal elevator drive and guaranteeing the reliability and safety of elevator operation.

Description

Technical Field

[0001] This invention relates to the field of elevator operation monitoring technology, specifically to a method for dynamic monitoring of force loads in a multi-car intelligent parallel elevator. Background Technology

[0002] Currently, elevator cars widely use wire rope traction drive, meaning only one car can be installed in a single shaft. While single-car elevators can meet the needs of low-rise buildings with low passenger flow, their drawbacks—long waiting times and low transport efficiency—are significantly amplified in high-rise or super high-rise buildings with high population density. Adding more elevator shafts and corresponding cars would occupy a significant amount of building space, substantially increasing costs, and the problem of low transport efficiency would still persist.

[0003] With the continuous development of engineering technology, multi-car operation modes such as double-deck elevators, double-car elevators, and circular or bifurcated circular elevators have gradually emerged. However, in these known multi-car elevator operation modes, the cars are all located on the same track within the same shaft. The elevator cars between different shafts cannot switch tracks, and they cannot overtake each other. With the dramatic increase in transportation volume, the current multi-car operation mode not only significantly reduces the space utilization rate of buildings, but also fails to fundamentally solve the problem of low elevator transportation efficiency.

[0004] The multi-car intelligent parallel elevator researched by the applicant is a self-drive elevator. The drive device requires an external force-applying mechanism to press the drive wheel and the guide rail together to generate frictional driving force. The load applied by the force-applying mechanism directly determines the magnitude of the frictional driving force. If the applied load changes significantly, it will lead to a large change in the driving force, which may result in the elevator being unable to drive or even slipping, affecting the reliability and safety of elevator operation. Summary of the Invention

[0005] The technical problem to be solved by this invention is: in view of the technical problems existing in the prior art, this invention provides a method for dynamic monitoring of the load applied by a multi-car intelligent parallel elevator, which monitors the load of the force-applying mechanism in real time, so that the elevator drives normally, there is no slippage, and the reliability and safety of elevator operation are guaranteed.

[0006] To solve the above-mentioned technical problems, the technical solution proposed by this invention is as follows:

[0007] A method for dynamic monitoring of applied load in a multi-car intelligent parallel elevator, the elevator system including multiple cars, at least two main rails and switching rails, wherein multiple switching rails are provided, and the switching rails are used to connect two different main rails. During the upward or downward movement of the car, the main rail is switched via the switching rails to continue upward or downward movement. The car is equipped with a drive device. The monitoring method includes the following steps:

[0008] 1) Calculate the theoretical applied force load data A of the car;

[0009] 2) Obtain real-time load information of the car;

[0010] 3) Detect the real-time applied load data B of the force application mechanism of the car at the detection position, compare the real-time applied load data B with the corresponding theoretical applied load data A, and calculate the output deviation and the trend Δ.

[0011] 4) Set the critical zone of the elevator's applied load as Δ i The system determines the critical zone where the output deviation and its trend Δ are located; the critical zone is equipped with a safe operating zone, within which the car operates normally; when the car exceeds the safe operating zone, its operation is restricted.

[0012] As a further improvement to the above technical solution:

[0013] Preferably, in the above method, the detection location includes at least the detection point located on the main track and the track change location.

[0014] Preferably, in the above method, the track change location includes the connection point of two track segments.

[0015] Preferably, in the above method, the detection points of the main track include continuous equidistant points and level positions on the main track.

[0016] Preferably, in the above method, the leveling position is the stopping point of the car at the leveling point.

[0017] Preferably, in the above method, the critical zone is divided into at least 3 levels. When it is between the 1st and 2nd levels, the car operates normally; when it is between the 2nd and 3rd levels, a warning is issued and the car stops at the nearest level; when it exceeds the 3rd level, the car stops immediately.

[0018] Preferably, in the above method, the theoretical applied force load data A is obtained by the following method:

[0019] 1) Load data is detected by simulating the car's load;

[0020] 2) Simulate the car's load to be greater than or equal to the overload load, detect the load at the detection location, and record the load data at the detection location;

[0021] 3) Simulate the car's load as a full load and record the load data at the detection location;

[0022] 4) The load on the simulated car is less than the full load, and the load is gradually reduced until the simulated car is empty. The load data at the detection location is recorded.

[0023] Preferably, in the above method, the theoretical applied load data A includes the load data of the detection points of the main track and the track change positions.

[0024] Preferably, in the above method, the detection points of the main track include continuous equidistant points and level positions on the main track.

[0025] Preferably, in the above method, the load data of continuous equidistant points on the main track and the load data of track change positions are set as normal load data A. i , where i is a natural number, obtained in the following way:

[0026] 1) By simulating the car's load and operation, normal load data is detected;

[0027] 2) Simulate the car's load to be greater than or equal to the overload load, and make the car run from the bottom floor to the top floor or from the top floor to the bottom floor. Detect the load data at continuous equidistant points on the main track and at track change positions, and record the load data at the detection position as A1.

[0028] 3) Simulate the car's load as a full load, and make the car run from the bottom floor to the top floor or from the top floor to the bottom floor, and record the load data at the detection location as A2;

[0029] 4) Simulate a car with a load less than its full load. The car moves from the bottom floor to the top floor or from the top floor to the bottom floor, and records the load data A at the detection location. i ;

[0030] 5) The load on the simulated car is gradually reduced, and step 4) is repeated until the simulated car is empty.

[0031] Preferably, in the above method, the normal load data is the load data when the drive device at the detection location does not exhibit any operational abnormalities.

[0032] Preferably, in the above method, the load data at the leveling position is detected. The car is located at different leveling positions and the detection is carried out separately. Each leveling position simulates a different load of the car, and the load decreases step by step to obtain the load data when the car's drive device does not have any abnormal operation.

[0033] Preferably, in the above method, the driving device includes a driving wheel and a force-applying mechanism. The driving wheel rolls on the main track or the switching track, driving the car to move upward, downward, or switch tracks. Therefore, the force-applying mechanism presses the driving wheel onto the main track or the switching track.

[0034] Preferably, in the above method, the load data is the force applied by the force-applying mechanism to the drive wheel.

[0035] The method for dynamic monitoring of applied load in a multi-car intelligent parallel elevator provided by this invention has the following advantages compared with the prior art:

[0036] (1) The method for dynamic monitoring of force load of multi-car intelligent parallel elevator of the present invention monitors the load of the drive device in real time by setting load monitoring components on the drive device, and judges whether there is an abnormality. If there is an abnormality, an alarm needs to be set up and maintenance is required to ensure that the car drive is normal and there is no slippage, thus ensuring the reliability and safety of elevator operation.

[0037] (2) The method for dynamic monitoring of force load on multi-car intelligent parallel elevator of the present invention includes the detection positions of continuous equidistant points on the main track, track change positions and leveling positions, which include points on the main track and switching track where conditions may occur, thus ensuring the safety of passengers during car operation.

[0038] (3) The method for dynamic monitoring of force load of multi-car intelligent parallel elevator of the present invention is set for elevator systems that use roller drive and require pressure to be applied to the roller. Attached Figure Description

[0039] Figure 1 This is a flowchart illustrating the present invention. Detailed Implementation

[0040] The following provides a detailed description of specific embodiments of the present invention. It should be understood that the specific embodiments described herein are for illustrative and explanatory purposes only and are not intended to limit the scope of the invention.

[0041] Figure 1 This invention illustrates one embodiment of the dynamic monitoring method for applied load in a multi-car intelligent parallel elevator. The elevator system includes multiple cars, at least two main tracks, and switching tracks. The multiple main tracks form parallel tracks, with one main track installed in each shaft. Multiple switching tracks are provided, positioned between two main tracks to connect them. Multiple cars can run on the same main track. During upward or downward movement, the cars switch main tracks via switching tracks to continue moving upward or downward. The structure of the elevator system has been described in the applicant's previous patent applications.

[0042] In this embodiment, the switching track includes two arc-shaped tracks and an inclined track. The arc-shaped tracks connect to the main track, and the inclined track connects the two arc-shaped tracks. The car is equipped with a drive device, which includes a drive wheel and a force-applying mechanism. The drive wheel rolls on the main track or the switching track, driving the car to move upward, downward, or switch tracks. Since the car has no traction structure, the force-applying mechanism presses the drive wheel against the main track or the switching track, generating a frictional driving force. The load applied by the force-applying mechanism directly determines the magnitude of the frictional driving force.

[0043] In this embodiment, a force-applying load sensor is installed on the force-applying mechanism to acquire the applied force load. This sensor can be a sensor that monitors displacement deformation or directly monitors the load force value. Suitable locations are selected along the elevator's running direction to monitor the applied force load. Representative locations are chosen as detection points for monitoring and data acquisition. These representative locations can be continuous equidistant points on the main track, the leveling position, and the track-changing position. The leveling position is where the car stops; at this point, the car load changes in real time, requiring special monitoring to prevent disturbances from affecting the load. Additionally, the track-changing position, due to the changes in force on the drive wheels caused by curved or inclined tracks, also affects the load on the force-applying mechanism and requires special monitoring.

[0044] Before conducting dynamic monitoring, it is necessary to establish a database of theoretical applied force load data A under normal operating conditions. The database is established as follows:

[0045] 1) By simulating the car's load and operation, the normal load data A is detected. i Normal load data refers to the load data when the drive wheel at the detection location does not slip.

[0046] 2) Simulate an overload of the car with a load ≥ 110% of the car's capacity, causing the car to move from the bottom floor to the top floor or from the top floor to the bottom floor;

[0047] 3) Detect the normal load at continuous equidistant points and at track change locations on the main track, and record the load data of the force load sensor at the detection location as A1;

[0048] 4) Simulate the car's load as 100% full load, and make the car run from the bottom floor to the top floor or from the top floor to the bottom floor. Record the load data of the force load sensor at the detection location as A2.

[0049] 5) Simulate the car's load to be 90% full load, and make the car run from the bottom floor to the top floor or from the top floor to the bottom floor. Record the load data of the force load sensor at the detection location as A3.

[0050] 6) And so on..., the load of the simulated car is gradually reduced, and the load data of the force load sensor at the detection position is recorded until the simulated car runs unloaded;

[0051] 7) Detect the applied load data at the leveling location:

[0052] The car was tested at different floors, with each floor simulating different loads on the car. The load was gradually reduced, starting from 110% overload and decreasing until the car was empty. The load data was obtained when the car's drive wheels did not slip.

[0053] In practice, the applied load on the car is monitored during normal operation. Let the real-time load data at the detection location be B, and the monitoring method is as follows:

[0054] 1) The car is equipped with a weighing sensor to detect the load of the car. The weighing sensor can be an elevator car load measuring element used in elevator equipment in this field. It is used to monitor the deformation of the elastic element installed between the car and the suspension, thereby outputting a corresponding analog signal so that the main control equipment can obtain the load information of the car in real time.

[0055] 2) Detect the real-time applied load data B at the detection position of the car, and compare the real-time applied load data B with the normal load data A at the same detection position and similar load in the database. i Compare the results and calculate the output deviation and its trend Δ.

[0056] 3) Set the critical zone of the elevator's applied load as Δ i Determine the critical region where the output deviation and its trend Δ are located.

[0057] Critical region Δ i Multiple levels Δ1, Δ2...Δ can be set as needed. n The operational instructions executed differ depending on the level of the critical section:

[0058] 1) Assume Δ1 = 150%A. If Δ exceeds Δ1 but does not reach Δ2, no warning is required, and the car will operate normally.

[0059] 2) Let Δ2 = 120%A. When Δ exceeds Δ2 but does not reach Δ3, a warning will be issued. The car can continue to operate normally, but there is a safety hazard.

[0060] 3) Set Δ3 = 110%A. When Δ exceeds Δ3 but does not reach Δ4, an alarm is triggered to determine that the car is abnormal. The nearest leveling floor in the direction of the car's travel is obtained, the car stops at the nearest leveling floor, the floor door is opened to release passengers, and the car stops running and waits for maintenance and inspection.

[0061] 4) Set Δ4=0, which is the force load data when the drive wheel is about to slip. When Δ reaches Δ4, an alarm will be triggered and the car will stop immediately, waiting for emergency rescue and maintenance inspection.

[0062] When the force-applying mechanism adopts an active force-applying mechanism, the magnitude of the applied load can be actively changed, thus adding a critical zone Δ. i When the load exceeds the critical zone Δ2, the force-applying mechanism actively adjusts the applied load to keep the deviation within the critical zone Δ1, allowing the car to operate normally. If its adjustment capability is insufficient, it will still execute subsequent operating commands from Δ2 to Δ4.

[0063] Other structures involved in this invention are described in the applicant's previous patent applications and can be fully understood by those skilled in the art using conventional techniques. Therefore, they will not be described again here.

[0064] The above embodiments are merely preferred examples of the present invention and are not intended to limit the present invention in any way. Although the present invention has been disclosed above with reference to preferred embodiments, it is not intended to limit the present invention. Therefore, any simple modifications, equivalent changes, and alterations made to the above embodiments based on the technical essence of the present invention without departing from the scope of the present invention should fall within the protection scope of the present invention.

Claims

1. A method for monitoring dynamic force load of multi-car intelligent parallel elevator, the elevator system comprising a plurality of cars, at least two main tracks and a plurality of switching tracks, the switching tracks being used to link two different main tracks, the car switching the main track through the switching track to continue upward or downward during upward or downward process, the car being provided with a driving device; The driving device comprises a driving wheel and a force applying mechanism, the force applying mechanism presses the driving wheel against the main track or the switching track to generate a friction driving force; characterized in that, The monitoring method comprises the following steps: 1) calculating the theoretical force load data A of the car; 2) acquiring the load information of the car in real time; 3) detecting the real-time force load data B of the force mechanism at the detection position of the car, comparing the real-time force load data B with the corresponding theoretical force load data A, and calculating the output deviation and change trend Δ; 4) Set the critical area of elevator force load as Δ i , the critical area Δ i Can be equipped with multiple levels Δ1, Δ2, Δ3, Δ4, as needed, the operation instructions executed by different levels of critical area range are different: (1) Δ1=150%A, Δ exceeds Δ1 and does not reach Δ2, no need to prompt warning, the car runs normally; (2) Δ2=120%A, Δ exceeds Δ2 and does not reach Δ3, prompt warning, the car can run normally, but there is a safety hazard; (3) Δ3=110%A, Δ exceeds Δ3 and does not reach Δ4, alarm, judge that the car is abnormal, get the nearest landing floor in the running direction of the car, the car stops at the nearest landing floor, opens the landing door to discharge passengers, and stops running, waiting for maintenance and inspection; (4) Δ4=0, the force load data when the driving wheel is about to slip, Δ reaches Δ4, alarm and stop running immediately, the car stops immediately, waiting for emergency rescue and maintenance inspection; 5) judging the critical area of the output deviation and change trend Δ; The critical area is provided with a safe running area, the safe running area is Δ exceeding Δ1 and not reaching Δ3, the car runs normally in the safe running area; When exceeding the safe running area, the car is limited to run.

2. The multi-car intelligent parallel elevator force load dynamic monitoring method according to claim 1, characterized in that, The detection position at least includes a detection point on the main track and a track change position.

3. The multi-car intelligent parallel elevator force load dynamic monitoring method according to claim 2, characterized in that, The track change position includes the connection of two track sections.

4. The multi-car intelligent parallel elevator force load dynamic monitoring method according to claim 2, characterized in that, The detection point of the main track includes continuous equidistant points and landing positions on the main track.

5. The multi-car intelligent parallel elevator force load dynamic monitoring method according to claim 4, characterized in that, The landing position is the stop of the car at the landing.

6. The multi-car intelligent parallel elevator force load dynamic monitoring method according to claim 1, wherein, The theoretical force load data A is obtained by the following method: 1) detecting the load data by simulating the car load; 2) simulating the car load ≥ overload load, detecting the load at the detection position, and recording the load data at the detection position; 3) simulating the car load as full load, recording the load data at the detection position; 4) simulating the car load less than full load, gradually decreasing until the car is empty, and recording the load data at the detection position.

7. The multi-car intelligent parallel elevator force load dynamic monitoring method according to claim 6, characterized in that, The theoretical force load data A includes the load data of the detection point of the main track and the track change position.

8. The multi-car intelligent parallel elevator force load dynamic monitoring method according to claim 7, characterized in that, The detection point of the main track includes continuous equidistant points and landing positions on the main track.

9. The method for monitoring dynamic force load of multi-car intelligent parallel elevator according to claim 8; characterized in that The load data of the equidistant points on the main track and the track change position in succession are set as normal load data A i where i is a natural number, is obtained by 1) detecting normal load data by simulating car load and running; 2) simulating the car load ≥ overload load, making the car run from the bottom layer to the top layer or from the top layer to the bottom layer, detecting the load data of the continuous equidistant points and the track change position on the main track, and recording the load data at the detection position as A1. 3) simulate the full load of the car, make the car run from the bottom to the top or from the top to the bottom, record the load data at the detection position as A2; 4) Simulate the car with less than full load, the car runs from the bottom to the top or from the top to the bottom, record the load data A at the detection position i ; 5) simulate the car load to decrease step by step, repeat step 4) until the car is empty.

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