Elevator guide rail flatness anomaly detection and installation and maintenance judgment method and device thereof

Abstract

The invention relates to an elevator guide rail flatness anomaly detection method and a corresponding installation and maintenance judgment method and device in the technical field of elevator safety detection. According to the elevator guide rail flatness anomaly detection method, P, D1 and D2 of any position of a to-be-detected guide rail are obtained and subtracted from a target position parameter P0 and two target distances D10 and D20 respectively, then absolute values are obtained, corresponding deviation values are obtained, the deviation values are compared with a preset threshold value, and the flatness anomaly of the to-be-detected guide rail is detected. And whether the actual state of the position is the flatness abnormity of the guide rail to be detected caused by self factors can be directly judged. According to the method, the specific state of the flatness of the elevator guide rail can be directly reflected through collection and calculation of multiple sets of data, the state of the guide rail can be accurately distinguished into serious deformation, normal or local abnormal protrusion, and therefore complex operation of manual data rechecking is avoided.

Description

Technical Field

[0001] This invention relates to a method for detecting abnormalities in elevator guide rails and a corresponding method and apparatus for judging installation and maintenance in the field of elevator safety inspection technology, particularly a method for detecting abnormalities in the flatness of elevator guide rails and a corresponding method and apparatus for judging installation and maintenance. Background Technology

[0002] With the development of industry and technology, robots have begun to be widely used in various scenarios to replace manual labor in performing tedious and dangerous tasks due to their advantages of high automation, accuracy, repeatability and safety. For example, parameters such as the flatness of elevator guide rails can be automatically measured by wall-climbing robot systems, avoiding safety hazards such as insufficient lighting and limited space that exist in manual measurement. However, in the actual application of wall-climbing robots, external environmental factors still exist, leading to interference in the detected data. Therefore, in the prior art, Chinese Invention Patent Publication No. CN119573668A discloses a laser measuring instrument and method for measuring the flatness of elevator guide rails, including: a laser ranging vehicle and a spot detection vehicle; a laser ranging sensor, set at the front of the laser ranging vehicle, with its detection end facing away from the laser ranging vehicle; a reduction motor, located at the bottom of the device along with a magnetic wheel and an auxiliary magnetic wheel, the two magnetic wheels forming a perpendicular angle, the reduction motor being connected only to the magnetic wheel; an tilt sensor, vertically placed at the rear of the laser measuring vehicle; and an obstacle avoidance sensor, installed at both ends of the laser ranging vehicle, extending out over a certain area.

[0003] While this patent application can avoid interference from some external environmental factors, such as car swaying, during the detection of elevator guide rail flatness, it also has the following shortcomings: The device is used to detect parameters such as elevator guide rail flatness, and its detection method only uses components such as laser rangefinders and spot detection vehicles. When there are protrusions on the elevator guide rail, it will cause abnormal fluctuations in the parameters received by the measuring equipment. These fluctuations cannot be distinguished from those caused by the flatness deviation of the guide rail itself through a single data point. They can only be eliminated by subsequent manual verification, thus making it impossible to accurately determine the condition of the elevator guide rail and whether it needs maintenance. Summary of the Invention

[0004] (1) Technical problems to be solved To address the technical problem that existing elevator guide rail flatness anomaly detection methods are difficult to directly determine whether the flatness anomaly is caused by its own factors, this invention provides an elevator guide rail flatness anomaly detection method and its corresponding maintenance judgment method and device.

[0005] (2) Technical solution The first aspect of the present invention provides a method for detecting abnormal flatness of elevator guide rails, comprising: providing an elevator guide rail flatness abnormality detection device, comprising: a power module for moving on the elevator guide rail and a detection platform for detecting whether the guide rail under test has flatness abnormalities caused by its own factors, wherein the detection platform is equipped with two sets of distance sensors for collecting the distances D1 and D2 from the two working surfaces of the guide rail under test at the same height to the side wall of the shaft on the same side, and a position-sensitive detector for receiving laser emitted perpendicularly to the horizontal plane by a laser emitter set at one end of the elevator shaft, and collecting the intersection position parameter P of the laser projected on the position-sensitive detector; Based on P, D1, D2, the target position parameter P0, and the distance D between the two targets... 10 and D 20 Calculate the position parameter deviation ΔP and the two distance deviations ΔD1 and ΔD2: ; When ΔP>P max And ΔD1>D 1max And ΔD2>D 2max When it is determined that the guide rail under test has a flatness abnormality caused by its own factors, P max D represents the maximum allowable offset range for guide rail flatness. 1max D 2max These represent the maximum allowable distance deviation range for the flatness of the two working surfaces, respectively.

[0006] As a further improvement to the above scheme, the elevator guide rail flatness anomaly detection method also includes: when ΔP≤P max And ΔD1≤D 1max And ΔD2≤D 2max At that time, it was determined that the guide rail under test had no flatness abnormalities.

[0007] As a further improvement to the above scheme, the elevator guide rail flatness anomaly detection method also includes: when only one of ΔP, ΔD1, and ΔD2 is greater than its corresponding threshold, or when only two of them are greater than their corresponding thresholds, it is determined that the guide rail under test has a flatness anomaly caused by factors other than its own.

[0008] As a further improvement to the above scheme, the elevator guide rail flatness anomaly detection method also includes: retesting the elevator guide rail flatness anomaly at any other location of the guide rail to be tested. If the retest results are consistent, it is determined that the guide rail to be tested has a flatness anomaly caused by its own factors. If the retest results are inconsistent, the validity of the data of P, D1, and D2 is checked.

[0009] As a further improvement to the above scheme, P max The value is determined based on the maximum allowable deviation of guide rail flatness in the elevator safety technical specifications.

[0010] As a further improvement to the above scheme, D 1max and D 2max The value is determined based on the allowable tolerance of the flatness of the guide rail working surface.

[0011] The second aspect of the present invention also provides a method for determining that an elevator guide rail has abnormal flatness and needs repair, which includes: when the elevator guide rail is determined to have a flatness abnormality caused by its own factors using any of the above-mentioned elevator guide rail flatness abnormality detection methods, the elevator guide rail needs to be repaired immediately.

[0012] A third aspect of the present invention also provides a method for judging abnormal installation of elevator guide rails, comprising: determining, using the above-mentioned method for detecting abnormal flatness of elevator guide rails, that there is a ΔP>P after the elevator guide rails are installed. max And ΔD1>D 1max And ΔD2>D 2max If ΔP, ΔD1, or ΔD2 are all greater than their corresponding thresholds, it is determined that the verticality of the guide rail installation is abnormal and needs to be reinstalled.

[0013] A fourth aspect of the present invention also provides an elevator guide rail flatness anomaly detection device, comprising: a detection platform for detecting whether the guide rail under test has flatness anomalies caused by its own factors; and a power module for driving the device to move along the elevator guide rail. The detection platform uses the elevator guide rail flatness anomaly detection method as described in any of the preceding claims to detect whether the guide rail under test has flatness anomalies caused by its own factors.

[0014] As a further improvement to the above solution, the elevator guide rail flatness abnormality detection device also includes an alarm module. When the detection platform determines that the guide rail under test has a flatness abnormality caused by its own factors, it will activate the alarm module to sound an alarm, and the guide rail under test needs to be repaired immediately.

[0015] (3) Beneficial effects 1. Flatness anomalies caused by inherent factors manifest as bending, twisting, or severe uneven wear at the measurement location of the guide rail (mostly due to uneven corrosion or excessive wear on the guide rail surface caused by long-term use). Such anomalies directly affect the core safety of elevator operation, necessitating inspection of the guide rail itself, and in severe cases, replacement. The elevator guide rail flatness anomaly detection method of this invention determines the flatness by determining when ΔP>P... max And ΔD1>D 1max And ΔD2>D 2maxIn this way, it can be directly determined that the flatness of the guide rail under test is abnormal due to its own factors. Therefore, the present invention can accurately determine whether the flatness abnormality of the guide rail under test is caused by its own factors, thereby avoiding the complicated operation of manual data verification and solving the technical problem that existing elevator guide rail flatness abnormality detection methods are difficult to directly determine whether the flatness abnormality of the guide rail is caused by its own factors.

[0016] 2. The elevator guide rail flatness anomaly detection method of the present invention can also be improved by judging when ΔP≤P max And ΔD1≤D 1max And ΔD2≤D 2max In some cases, it can directly determine that the guide rail under test has no flatness abnormality; it can also directly determine that the guide rail under test has a flatness abnormality not caused by its own factors by judging that when only one of ΔP, ΔD1, and ΔD2 is greater than its corresponding threshold, or when only two of them are greater than their corresponding thresholds. Therefore, it can not only accurately determine whether the flatness abnormality of the guide rail under test is caused by its own factors, but also directly and accurately determine whether there is no flatness abnormality or whether the flatness abnormality is not caused by its own factors, thus making the judgment very comprehensive.

[0017] 3. The method for determining the need for maintenance of elevator guide rail flatness abnormalities in the present invention directly utilizes the results obtained from the elevator guide rail flatness abnormality detection method. The guide rail under test with flatness abnormalities caused by its own factors is set as needing maintenance, thereby solving the technical problem that the existing elevator guide rail detection method has a single measurement method and cannot directly determine whether the guide rail needs maintenance.

[0018] 4. The elevator guide rail installation abnormality judgment method of the present invention directly uses the results obtained by the elevator guide rail flatness abnormality detection method after the guide rail is installed. When one or more working surfaces exceed the specified maximum offset, it indicates that the installed guide rail has a verticality problem. This solves the technical problem that the existing elevator guide rail detection method has a single measurement method and cannot directly determine whether the guide rail needs to be reinstalled. Attached Figure Description

[0019] Figure 1 This is a schematic diagram of the acquisition of position parameter P by the elevator guide rail flatness anomaly detection system provided in Embodiment 1 of the present invention; Figure 2 This is a schematic diagram of the acquisition of distances D1 and D2 between two targets by the elevator guide rail flatness anomaly detection system provided in Embodiment 1 of the present invention; Figure 3 This is a flowchart of a method for determining the need for repair due to abnormal flatness of elevator guide rails provided in Embodiment 1 of the present invention. It applies... Figure 1 Position parameter P and application Figure 2 The distances between the two targets are D1 and D2.

[0020] Figure label: 1. Guide rail to be tested; 101. Laser emitter; 102. Position-sensitive detector; 2. Top plate of the shaft; 3. Side wall of the shaft. Detailed Implementation

[0021] The technical solutions in the embodiments of the present invention will be clearly and completely described below. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0022] It should be noted that when a component is said to be "installed on" another component, it can be directly on the other component or it may be in a component that is centered on it. When a component is said to be "set on" another component, it can be directly set on the other component or it may also be in a component that is centered on it. When a component is said to be "fixed to" another component, it can be directly fixed to the other component or it may also be in a component that is centered on it.

[0023] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains. The terminology used herein in the specification of this invention is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. The term "or / and" as used herein includes any and all combinations of one or more of the associated listed items.

[0024] Example 1 This embodiment introduces an elevator guide rail flatness anomaly detection system, used to detect whether there are any flatness anomalies requiring maintenance during the daily use of elevator guide rails. When it is determined that the guide rail 1 under test has a flatness anomaly caused by its own factors, it is determined that the guide rail 1 under test needs immediate repair. The elevator guide rail flatness anomaly detection system includes an elevator guide rail flatness anomaly detection device, and may also include external control equipment.

[0025] An external control device is used to control the operation of the elevator guide rail flatness anomaly detection device. Of course, in other embodiments, the external control device may not be required; when the elevator guide rail flatness anomaly detection device is installed on the elevator guide rail to be tested, it will automatically run and perform the detection upon startup. The external control device can send control commands to the anomaly detection device via wireless communication, allowing operators outside the elevator shaft to move the anomaly detection device along the guide rail direction. During movement, the anomaly detection device acquires elevator guide rail status information and sends the collected information back to the external control device.

[0026] The elevator guide rail flatness anomaly detection device is used to determine whether the guide rail 1 under test has flatness anomalies caused by its own factors. The device includes a data acquisition module, a detection platform, a power module, and an alarm module. The data acquisition module collects the intersection position parameter P of the guide rail 1 at any height from any position on the guide rail 1 under test. The intersection position parameter P is the intersection position parameter information of the laser emitted perpendicularly to the horizontal plane by the laser emitter 101 installed on the top plate 2 of the elevator shaft and projected onto the detection platform. It also collects the distances D1 and D2 from the two working surfaces of the guide rail 1 at the same height to the side wall 3 of the shaft on the same side. The detection platform processes the data based on the intersection position parameter P and the two distances D1 and D2 to determine whether the guide rail 1 under test has flatness anomalies caused by its own factors. The power module drives the detection platform to move along the guide rail 1 under test, facilitating the detection of elevator guide rail flatness anomalies at any position on the guide rail 1. When the testing platform determines that the flatness of the guide rail 1 under test is abnormal due to its own factors, it will activate the alarm module to issue an alarm: the guide rail 1 under test needs to be repaired immediately.

[0027] The data acquisition module may include an intersection point position parameter acquisition module and two distance sensors. The intersection point position parameter acquisition module is used to acquire the intersection point position parameter P of the laser emitted perpendicularly to the horizontal plane by the laser emitter 101 installed on the top plate 2 of the elevator shaft and projected onto the detection platform, such as... Figure 1 As shown. The laser emitter 101 emits laser light perpendicular to the horizontal plane. Two distance sensors are symmetrically arranged on both sides of the detection platform to collect the distances D1 and D2 from the working surfaces of the guide rail 1 at the same height to the sidewall 3 of the shaft on the same side, respectively. Figure 2 As shown.

[0028] The intersection point position parameter acquisition module may include a position-sensitive detector 102 and a laser emitter 101. The laser emitter 101 can be fixed to the top plate 2 of the elevator shaft or installed on the bottom plate of the elevator shaft. The position-sensitive detector 102 is installed on a detection platform and moves with the detection platform. When the detection platform moves along the guide rail following the power module, the laser emitter 101 emits a laser projection line to the other end of the elevator shaft. During the movement of the elevator guide rail along the elevator guide rail, the laser projection line always passes through the position-sensitive detector 102. The position-sensitive detector 102 can be a semiconductor position-sensitive detector, which can simultaneously determine the position and energy of a particle. Alternatively, the position-sensitive detector 102 can be a position-sensitive gas scintillation proportional counter. A position-sensitive gas scintillation proportional counter determines the position of a ray by measuring the time between the first flash caused by the initial ionization and the second flash where the ionized electron drifts to the photoconductor region. It has advantages such as good energy resolution, high count rate, large detector area, and the ability to detect rays with energies as low as 25 eV. The laser emitter 101 can be a solid-state laser, a semiconductor laser, etc.

[0029] Distance sensors, also known as displacement sensors, are a type of sensor used to sense the distance between themselves and an object to perform a preset function, and they have been widely used. Distance sensors can be classified into various types based on their working principle, such as optical distance sensors, infrared distance sensors, and ultrasonic distance sensors. In this embodiment, the width of the elevator shaft is generally no more than 2 meters, and the largest will not exceed 5 meters; therefore, a typical distance sensor is sufficient to meet the requirements of the on-site environment. The detection platform is used to determine that the guide rail 1 under test has a flatness abnormality caused by its own factors when the test guide rail 1 is found to have a flatness abnormality, and thus requires immediate repair. The microcontroller used in the detection platform can be the STM32F103C8T6 chip from STMicroelectronics, based on the ARM Cortex-M core STM32 series. The STM32 series chips are currently widely used in the market, possessing powerful performance and mature technical support. This chip boasts a maximum operating frequency of 72MHz, equipped with up to 128KB of Flash memory and 20KB of SRAM memory. Its powerful and rich peripheral functions and comprehensive design and development tools enable rapid development while simultaneously acquiring guide rail flatness parameter information and calculating and comparing it to obtain the final status information. Furthermore, since the output current of the STM32 series microcontroller chip pins is only a few tens of milliamps, it cannot directly drive the motor. Typically, a motor driver chip is needed to control the motor, and the TB6612FNG motor driver chip can be used. The TB6612FNG is a dual DC microcontroller chip from Toshiba Semiconductor, capable of driving two motors. The TB6612FNG has the advantages of small size, simple control, and concise design, making it very convenient for use in integrated devices. Through the above steps, the obtained flatness status result is transmitted to the external control device via the microcontroller.

[0030] Elevator guide rails are divided into car guide rails and counterweight guide rails, and in terms of cross-sectional shape, they are divided into three forms: T-shaped, L-shaped, and hollow. The anomaly detection device in this embodiment mainly targets the T-shaped cross-section car guide rail, and the subsequent test guide rail 1 is assumed to be a T-shaped cross-section car guide rail. Therefore, the power module can use a crawler chain with multiple sets of permanent magnets installed in the prior art, which is attracted to the working surfaces on both sides of the T-shaped guide rail. The crawler chain surrounds several sets of gears, and the gears are driven to rotate by a motor, so that the crawler chain can always move along the guide rail direction while being attracted. The detection platform is equipped with a microcontroller for processing signals, and the power module has a motor drive chip for driving. When the external control device sends a movement signal, the microcontroller receives the signal and sends the instruction to the motor drive chip, thereby driving the motor to rotate, causing the power module to move. During the displacement process, the microcontroller collects the guide rail flatness parameter information, calculates and compares it to obtain the final state information, and then sends the information back to the external control device.

[0031] Please see Figure 3 The elevator guide rail flatness anomaly detection system employs a method for determining if elevator guide rail flatness anomalies require repair, which includes the following steps: When the elevator guide rail flatness anomaly detection method determines that the tested guide rail 1 has a flatness anomaly caused by its own factors, it is determined that the tested guide rail 1 needs immediate repair. The elevator guide rail flatness anomaly detection method includes steps one through five.

[0032] Step 1: At any position on the guide rail 1 under test, acquire the intersection point position parameter P at any height of the guide rail 1 under test. Also acquire the distances D1 and D2 from the two working surfaces of the guide rail 1 at the same height to the sidewall 3 of the shaft on the same side. This step can be achieved by the intersection point position parameter acquisition module and the two distance sensors.

[0033] Step two, based on P, D1, D2 and the target position parameter P0, and the distance between the two targets D 10 and D 20 Calculate the position parameter deviation ΔP and the two distance deviations ΔD1 and ΔD2.

[0034] Step 3, connect ΔP, ΔD1, and ΔD2 to P respectively. max D 1max D 2max By comparison, three results can be output. Result 1: When ΔP>P max And ΔD1>D 1max And ΔD2>D 2max When the test guide rail 1 has a flatness abnormality caused by its own factors, it is determined that the test guide rail 1 has a flatness abnormality. The second method is when ΔP≤P max And ΔD1≤D 1max And ΔD2≤D 2maxIn the first case, it is determined that the guide rail 1 under test has no flatness abnormality. In the second case, if only one of ΔP, ΔD1, and ΔD2 is greater than its corresponding threshold, or if only two of them are greater than their corresponding thresholds, it is determined that the guide rail 1 under test has a flatness abnormality not caused by its own factors. Among these, P... max D represents the maximum allowable offset range for guide rail flatness. 1max D 2max These represent the maximum allowable distance deviation range for the flatness of the two working surfaces, respectively.

[0035] Steps two and three can both be performed by the detection platform. It should be noted that P in this invention... max D 1max and D 2max Based on the requirements of Articles 4.4.4 and 4.4.2 of the "Code for Acceptance of Construction Quality of Elevator Engineering" GB 50310-2002, the enterprise's internal control values ​​are derived comprehensively or are stricter than these standards. Elevator guide rails installed according to the above regulations, without any flatness abnormalities, are configured with target position parameters P0 and two target distances D. 10 and D 20 ΔP reflects the flatness of the contact surface between the elevator guide rail and the power module, while ΔD1 and ΔD2 reflect the flatness of the working surfaces on both sides of the guide rail. The P... max The value of D can be determined based on the maximum allowable deviation of guide rail flatness in the elevator safety technical specifications. 1max and D 2max The value can be determined based on the allowable tolerance of the flatness of the guide rail working surface.

[0036] When all three sets of data exceed the allowable range, it indicates an abnormal flatness condition caused by factors inherent to the tested guide rail 1. This manifests as bending, twisting, or severe uneven wear at the measurement location. Such abnormalities directly affect the core safety of elevator operation, necessitating inspection of the guide rail itself, and in severe cases, replacement. Specifically, this indicates uneven corrosion or excessive wear on the guide rail surface due to prolonged use.

[0037] When one or two of the three sets of data show a deviation exceeding the allowable range, it indicates a flatness anomaly not caused by its own factors, manifesting as localized interference. The main problem originates from the external environment, and such anomalies typically do not directly affect the core safety of elevator operation. For example, dust, grease, and water stains adhering to the guide rails can be removed simply by cleaning the elevator guide rails. Similarly, welding slag generated during welding or shallow scratches (not deep grooves) do not form continuous, regular deformation trends and can be eliminated through cleaning or grinding.

[0038] When none of the three sets of data exceed the allowable range of deviation, it indicates that the guide rail 1 under test has no flatness abnormality and is in a controlled state.

[0039] Step four: If it is determined that the flatness of the guide rail 1 under test is abnormal due to its own factors, the alarm module is activated to sound an alarm: the guide rail 1 under test needs immediate repair. Step four can be executed by the alarm module controlled by the testing platform. The alarm module can have various alarm forms, such as audible and visual alarms, voice alarms, and SMS alarms.

[0040] The above measurement results may also include reasons such as extreme compound faults or problems with the original data. Therefore, a fifth step can be added: re-measure the flatness of the elevator guide rail at any other location on the guide rail 1 under test. If the re-measurement results are consistent, it is determined that the guide rail 1 under test has a flatness abnormality caused by its own factors. If the re-measurement results are inconsistent, the validity of the data of P, D1, and D2 should be checked. Step five can be executed by the testing platform.

[0041] Through the above steps, the results of the flatness determination are transmitted to the external control equipment via a microcontroller.

[0042] In detail, Table 1 shows the guide rail status information corresponding to different parameters, where the reference value is: P0 = 0.0 mm, D 10 =1500.0mm, D 20 =1500.0mm, flatness threshold P max =0.5mm, distance deviation threshold D 1max =D 2max =0.8mm; Table 1: Example of guide rail status information (unit: mm) Example 2 This embodiment introduces an elevator guide rail flatness anomaly detection system, used to detect whether there are any abnormalities requiring reinstallation during the elevator guide rail installation process, and to determine whether ΔP>P exists after the elevator guide rail installation. max And ΔD1>D 1max And ΔD2>D 2max If ΔP, ΔD1, and ΔD2 are greater than their corresponding thresholds, it means that at least one of the tested positions on the elevator guide rail is not completely perpendicular to the horizontal plane, indicating an abnormality in the verticality of the installed guide rail, and the guide rail needs to be reinstalled.

[0043] Therefore, in summary, (1) when the guide rail 1 under test has a flatness abnormality caused by its own factors, it means that the flatness of the guide rail and the distance between the working surfaces on both sides exceed the safety tolerance. This is usually a clear indication that the guide rail itself has structural bending, twisting or severe wear, which is a fundamental defect affecting operational safety and must be dealt with immediately. (2) If the guide rail 1 under test has no flatness abnormality, or if the guide rail 1 under test has a flatness abnormality caused by factors other than its own factors, it is determined that the guide rail 1 under test does not need to be repaired immediately. Therefore, when the guide rail 1 under test has no flatness abnormality, it means that the overall geometric position of the guide rail is within the tolerance range allowed by the safety specifications and is in a healthy state, that is, it is determined that this section of the guide rail does not need to be repaired immediately. When the guide rail 1 under test has a flatness abnormality caused by factors other than its own factors, it means that there is an abnormal change in the local area, which indicates that one or two of the three parameters of flatness and distance between the two sides exceed the standard. This situation is usually caused by factors other than the structural factors of the guide rail itself, such as local deposits (oil stains, dust), minor bumps and scratches on the working surface of the guide rail, or local unevenness of the shaft sidewall 3, etc. In this case, it is determined that the section of the guide rail does not need to be repaired immediately.

[0044] The actual usage process of this invention is as follows: First, the staff places the power module of the anomaly detection device against the working surfaces on both sides of the elevator guide rail, and places the laser emitter at the top or bottom of the elevator shaft. Then, the anomaly detection device and the laser emitter are started by the external control equipment. The anomaly detection device begins to move along the guide rail direction. According to the position-sensitive detector 102 and two distance sensors, the relevant parameters of the guide rail are continuously collected and transmitted to the microcontroller on the detection platform. By performing calculations with the guide rail data without flatness anomalies, and then comparing it with the preset threshold, the status information of the measured point of the guide rail 1 under test is determined. The status information is transmitted back to the external control equipment so that the staff can carry out appropriate maintenance according to the signal.

[0045] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0046] The embodiments described above are merely illustrative of several implementations of the present invention, and while the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the invention patent. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of the present invention, and these all fall within the protection scope of the present invention. Therefore, the protection scope of this invention patent should be determined by the appended claims.

Claims

1. A method for detecting abnormal flatness of elevator guide rails, characterized in that, It includes: An elevator guide rail flatness anomaly detection device is provided, comprising: a power module for moving on the elevator guide rail and a detection platform for detecting whether the guide rail under test has flatness anomalies caused by its own factors. The detection platform is equipped with two sets of distance sensors for collecting the distances D1 and D2 from the two working surfaces of the guide rail under test at the same height to the side wall of the shaft on the same side, and a position-sensitive detector for receiving the laser emitted perpendicularly to the horizontal plane by a laser emitter installed on the top plate of the elevator shaft, and collecting the intersection position parameter P of the laser projection on the position-sensitive detector. Based on P, D1, D2, the target position parameter P0, and the distance D between the two targets... 10 and D 20 Calculate the position parameter deviation ΔP and the two distance deviations ΔD1 and ΔD2; ； When ΔP>P max And ΔD1>D 1max And ΔD2>D 2max When it is determined that the guide rail under test has a flatness abnormality caused by its own factors, P max D represents the maximum allowable offset range for guide rail flatness. 1max D 2max These represent the maximum allowable distance deviation range for the flatness of the two working surfaces, respectively.

2. The method for detecting abnormal flatness of elevator guide rails according to claim 1, characterized in that, Methods for detecting abnormal flatness of elevator guide rails also include: When ΔP≤P max And ΔD1≤D 1max And ΔD2≤D 2max When the test rail is tested, it is determined that there is no flatness abnormality.

3. The method for detecting abnormal flatness of elevator guide rails according to claim 1, characterized in that, Methods for detecting abnormal flatness of elevator guide rails also include: When only one of ΔP, ΔD1, and ΔD2 is greater than its corresponding threshold, or when only two of them are greater than their corresponding thresholds, it is determined that the guide rail under test has a flatness abnormality caused by factors other than its own.

4. The method for detecting abnormal flatness of elevator guide rails according to claim 1, characterized in that, Methods for detecting abnormal flatness of elevator guide rails also include: Perform a retest of the flatness of the elevator guide rail at any other location on the guide rail to be tested. If the retest results are consistent, it is determined that the guide rail to be tested has a flatness abnormality caused by its own factors. If the retest results are inconsistent, check the validity of the data of P, D1, and D2.

5. The method for detecting abnormal flatness of elevator guide rails according to claim 1, characterized in that, The P max The value is determined based on the maximum allowable deviation of guide rail flatness in the elevator safety technical specifications.

6. The method for detecting abnormal flatness of elevator guide rails according to claim 1, characterized in that, The D 1max and D 2max The value is determined based on the allowable tolerance of the flatness of the guide rail working surface.

7. A method for determining when elevator guide rails require repair due to abnormal flatness, characterized in that, It includes: When the elevator guide rail flatness anomaly detection method as described in any one of claims 1 to 6 determines that the guide rail under test has a flatness anomaly caused by its own factors, it is determined that the guide rail under test needs to be repaired immediately.

8. A method for judging abnormal installation of elevator guide rails, characterized in that, It includes: The elevator guide rail flatness anomaly detection method as described in any one of claims 1 to 6 is used to determine whether there is an anomaly ΔP>P after the elevator guide rail is installed. max And ΔD1>D 1max And ΔD2>D 2max If ΔP, ΔD1, or ΔD2 are all greater than their corresponding thresholds, it is determined that the verticality of the guide rail installation is abnormal and needs to be reinstalled.

9. A device for detecting abnormal flatness of elevator guide rails, comprising: The testing platform is used to detect whether the guide rail under test has any flatness abnormalities caused by its own factors. A power module is used to drive the detection platform to move along the elevator guide rail; characterized in that the detection platform uses the elevator guide rail flatness anomaly detection method as described in any one of claims 1 to 6 to detect whether the guide rail under test has flatness anomalies caused by its own factors.

10. The elevator guide rail flatness anomaly detection device according to claim 9, characterized in that, The elevator guide rail flatness abnormality detection device also includes an alarm module. When the detection platform determines that the flatness of the guide rail under test is abnormal due to its own factors, the alarm module is activated to sound an alarm; the guide rail under test needs to be repaired immediately.

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