CN111196546B - Detection method, device and system for escalator drive chain abnormity and computer equipment - Google Patents
Detection method, device and system for escalator drive chain abnormity and computer equipment Download PDFInfo
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- CN111196546B CN111196546B CN202010132223.9A CN202010132223A CN111196546B CN 111196546 B CN111196546 B CN 111196546B CN 202010132223 A CN202010132223 A CN 202010132223A CN 111196546 B CN111196546 B CN 111196546B
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
- B66B27/00—Indicating operating conditions of escalators or moving walkways
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B21/00—Measuring arrangements or details thereof, where the measuring technique is not covered by the other groups of this subclass, unspecified or not relevant
- G01B21/02—Measuring arrangements or details thereof, where the measuring technique is not covered by the other groups of this subclass, unspecified or not relevant for measuring length, width, or thickness
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B21/00—Measuring arrangements or details thereof, where the measuring technique is not covered by the other groups of this subclass, unspecified or not relevant
- G01B21/22—Measuring arrangements or details thereof, where the measuring technique is not covered by the other groups of this subclass, unspecified or not relevant for measuring angles or tapers; for testing the alignment of axes
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M13/00—Testing of machine parts
- G01M13/02—Gearings; Transmission mechanisms
- G01M13/023—Power-transmitting endless elements, e.g. belts or chains
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Abstract
The application relates to a detection method, a device, a system, computer equipment and a storage medium for escalator drive chain abnormity, which comprises the following steps: receiving swing angle data sent by a sensor; the sensor is arranged at one end of a swing rod in the escalator drive chain monitoring device and used for acquiring swing angle data of the swing rod; the other end of the swing rod is connected with a pressing block component; determining extension data of the escalator drive chain according to the swing angle data; and determining an abnormal detection result of the escalator drive chain according to the extension data of the escalator drive chain. The method includes the steps that swing angle data are collected through a sensor, and extension data of an escalator drive chain are obtained through calculation by combining the characteristics of the escalator drive chain; determining an abnormal detection result of the escalator drive chain according to different elongation data; need not artifical entering staircase machine case and detect to can detect the unusual of staircase drive chain in real time, thereby simplify the unusual detection procedure of staircase drive chain, further improve the detection efficiency to the staircase drive chain is unusual.
Description
Technical Field
The application relates to the field of escalator state monitoring, in particular to a method, a device, a system, computer equipment and a storage medium for detecting escalator drive chain abnormity.
Background
The escalator drive chain is used as a power source for escalator operation, and generally needs to continuously operate for a long time without interruption and under a high load, and the escalator drive chain can be gradually extended.
At present, escalators are basically equipped with corresponding drive chain detection devices, and an additional brake can be triggered to perform braking response when the drive chain of the escalator breaks, so that the escalator is decelerated and stops running.
However, in practical situations, when the escalator drive chain extends beyond a certain degree, there is a risk of breakage at any time; due to time and cost, the traditional manual detection mode cannot timely acquire the extension condition of the escalator drive chain; and the process of detection needs to enter the escalator case manually, so that the time consumption is long, the process is complicated, and the detection efficiency of escalator drive chain abnormity is low.
Disclosure of Invention
In view of the above, it is necessary to provide a method, an apparatus, a system, a computer device and a storage medium for detecting an abnormality of an escalator drive chain, in order to solve the technical problem of low detection efficiency of the escalator drive chain.
A method of detecting an escalator drive chain anomaly, the method comprising:
receiving swing angle data sent by a sensor; the sensor is arranged at one end of a swing rod in the escalator drive chain monitoring device and used for acquiring swing angle data of the swing rod; the other end of the swing rod is connected with a pressing block component, and the pressing block component is arranged on the escalator driving chain;
determining extension data of the escalator drive chain according to the swing angle data;
and determining an abnormal detection result of the escalator drive chain according to the extension data of the escalator drive chain.
In one embodiment, the determining elongation data of the escalator drive chain based on the swing angle data includes: reading the swing angle of the swing rod and the detection time corresponding to the swing angle from the swing angle data; obtaining an elongation coefficient corresponding to the escalator drive chain; determining the current elongation of the escalator drive chain according to the swing angle and the elongation coefficient, and using the current elongation as first elongation data of the escalator drive chain; the first elongation data is marked with detection time corresponding to the current elongation, and the detection time corresponding to the current elongation is detection time corresponding to the swing angle.
In one embodiment, before determining the elongation data of the escalator drive chain based on the swing angle data, the method further comprises: and acquiring the historical elongation of the escalator drive chain and the detection time corresponding to the historical elongation from a preset database.
In one embodiment, the determining elongation data of the escalator drive chain based on the swing angle data further comprises: and determining the extension speed of the escalator driving chain according to the historical extension amount, the detection time corresponding to the historical extension amount, the current extension amount and the detection time corresponding to the current extension amount, and taking the extension speed as second extension data of the escalator driving chain.
In one embodiment, the determining an abnormality detection result for the escalator drive chain based on the elongation data of the escalator drive chain includes: if the first elongation data are larger than or equal to a preset elongation threshold value, determining that the escalator drive chain is an abnormal escalator drive chain;
and/or the presence of a gas in the gas,
and if the second elongation data is greater than or equal to a preset elongation speed threshold value, determining that the escalator drive chain is an abnormal escalator drive chain.
In one embodiment, after determining the result of detecting the abnormality of the escalator drive chain according to the elongation data of the escalator drive chain, the method further includes: if the first elongation data is smaller than a preset elongation threshold, determining the time when the elongation of the escalator drive chain reaches the preset elongation threshold according to the second elongation data of the escalator drive chain, the current elongation and the detection time corresponding to the current elongation, and obtaining the predicted maintenance time; and if the predicted maintenance time is reached, sending a reminding message for maintaining the escalator drive chain to corresponding terminal equipment.
In one embodiment, after determining the abnormality detection result of the escalator drive chain according to the elongation data of the escalator drive chain, the method further includes: generating early warning information corresponding to the abnormal detection result according to the abnormal detection result; and sending the early warning information to corresponding terminal equipment.
A detection device for escalator drive chain anomalies, the device comprising:
the data receiving module is used for receiving swing angle data sent by the sensor; the sensor is arranged at one end of a swing rod in the escalator drive chain monitoring device and used for acquiring swing angle data of the swing rod; the other end of the swing rod is connected with a pressing block component, and the pressing block component is arranged on the escalator driving chain;
the data determining module is used for determining the extension data of the escalator driving chain according to the swing angle data;
and the abnormity detection module is used for determining an abnormity detection result of the escalator drive chain according to the extension data of the escalator drive chain.
A detection system for escalator drive chain anomalies, comprising: a server and a sensor connected via a network; the sensor is arranged at one end of a swing rod in the escalator drive chain monitoring device; the other end of the swing rod is connected with a pressing block component, and the pressing block component is arranged on the escalator driving chain;
the sensor is used for acquiring swing angle data of the swing rod and sending the swing angle data to the server;
the server is used for executing the steps of the method for detecting the abnormity of the escalator drive chain in any embodiment.
A computer device comprising a memory and a processor, the memory storing a computer program, the processor implementing the following steps when executing the computer program:
receiving swing angle data sent by a sensor; the sensor is arranged at one end of a swing rod in the escalator drive chain monitoring device and used for acquiring swing angle data of the swing rod; the other end of the swing rod is connected with a pressing block component, and the pressing block component is arranged on the escalator driving chain;
determining extension data of the escalator drive chain according to the swing angle data;
and determining an abnormal detection result of the escalator drive chain according to the extension data of the escalator drive chain.
A computer-readable storage medium, on which a computer program is stored which, when executed by a processor, carries out the steps of:
receiving swing angle data sent by a sensor; the sensor is arranged at one end of a swing rod in the escalator drive chain monitoring device and used for acquiring swing angle data of the swing rod; the other end of the swing rod is connected with a pressing block component, and the pressing block component is arranged on the escalator driving chain;
determining extension data of the escalator drive chain according to the swing angle data;
and determining an abnormal detection result of the escalator drive chain according to the extension data of the escalator drive chain.
The detection method, the device, the system, the computer equipment and the storage medium for the abnormity of the escalator drive chain comprise the following steps: receiving swing angle data sent by a sensor; the sensor is arranged at one end of a swing rod in the escalator drive chain monitoring device and used for acquiring swing angle data of the swing rod; the other end of the swing rod is connected with a pressing block component which is arranged on the escalator driving chain; determining extension data of the escalator drive chain according to the swing angle data; and determining an abnormal detection result of the escalator drive chain according to the extension data of the escalator drive chain. The method includes the steps that swing angle data are collected through a sensor arranged on a driving chain monitoring device, and extension data of an escalator driving chain are obtained through calculation according to the characteristics of the escalator driving chain; determining an abnormal detection result of the escalator drive chain according to different elongation data; need not artifical entering staircase machine case and detect to can detect the unusual of staircase drive chain in real time, thereby simplify the unusual detection procedure of staircase drive chain, further improve the detection efficiency to the staircase drive chain is unusual.
Drawings
FIG. 1 is an environmental diagram of an embodiment of a method for detecting an anomaly in an escalator drive train;
FIG. 2 is a schematic flow chart of a method for detecting an anomaly in an escalator drive train in one embodiment;
FIG. 3 is a schematic flow chart of the steps for determining the elongation data of the escalator drive chain based on the swing angle data in one embodiment;
FIG. 4 is a flowchart illustrating steps of obtaining predicted maintenance time and sending a notification message to a corresponding terminal device in one embodiment;
fig. 5 is a flowchart illustrating a procedure of sending the warning message to the corresponding terminal device in one embodiment;
FIG. 6 is a block diagram of an embodiment of a detection device for escalator drive chain anomalies;
fig. 7 is a block diagram of the detection of an escalator drive chain anomaly in one embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
The detection method for the abnormity of the escalator drive chain can be applied to the application environment shown in figure 1. The escalator drive chain monitoring device 10 comprises a swing rod 102 and a striking plate 103, and is used for triggering an additional brake to perform braking response when the escalator drive chain 14 is broken, so that the escalator is decelerated and stops running. The sensor 101 is in communication connection with the server 12 through a network; the sensor 101 is arranged at one end of a swing rod 102 in the escalator drive chain monitoring device 10 and is used for acquiring swing angle data of the swing rod 102; the other end of the oscillating bar 102 is connected with a pressing block component 103, the pressing block component 103 is arranged on the escalator driving chain 14, and the pressing block component 103 can be a striking plate in fig. 1; the server 12 is configured to receive swing angle data sent by the sensor 101; determining extension data of the escalator drive chain 14 according to the swing angle data; and determining the abnormity detection result of the escalator drive chain 14 according to the elongation data of the escalator drive chain 14. The sensor 101 can be a detection tool for measuring small angles with high measurement accuracy, and can measure the inclination of a measured plane relative to a horizontal or vertical position, and the parallelism and perpendicularity of two components; the server 12 may be implemented as a stand-alone server or as a server cluster of multiple servers.
In one embodiment, as shown in fig. 2, a method for detecting an abnormality of an escalator drive chain is provided, which is described by taking the method as an example applied to the server 12 in fig. 1, and includes the following steps:
step S21, receiving swing angle data sent by a sensor; the sensor is arranged at one end of a swing rod in the escalator drive chain monitoring device and used for acquiring swing angle data of the swing rod; the other end of the swing rod is connected with a pressing block component, and the pressing block component is arranged on the escalator driving chain.
The sensor can be an inclination sensor, is a detection tool for measuring small angles with high measurement accuracy, and can measure the inclination of a measured plane relative to a horizontal or vertical position. The swing angle data is that due to the special structure of the chain, the press block can swing on the driving chain in a small amplitude to drive the swing rod to swing up and down in a small amplitude, and the swing amplitude is the swing angle; the swing angle can be screened by a mathematical method, so that the data which is stable and can show the real angle is obtained as the swing angle data. The pressing block component is tightly attached to the escalator driving chain under the action of self weight, and when the chain sinks beyond a certain allowable range or breaks due to abrasion and elongation, the pressing block component enables the escalator driving chain monitoring device to act, so that the power supply of the driving main machine is disconnected, and the additional brake is triggered.
Specifically, in the running process of the escalator, the escalator drive chain is constantly running; the structure of the chain drives the upper pressing block to swing up and down in a small range; the swing of the pressing block drives the connected swing rod to swing up and down; and a sensor is arranged at one end of the swing rod, which is relatively fixed, so that the swing angle of the swing rod can be acquired. The sensor collects the current swing angle of the swing rod in real time to form swing angle data, and the swing angle data are sent to the server.
In the step, the sensor is arranged on the swing rod, a bridge is established for the conversion between the chain elongation data and the angle data, and meanwhile, the sensor is low in cost and can be used for a long time once being installed. By acquiring the data of the sensor, the escalator drive chain is not required to enter the escalator case for detection manually, and the abnormity of the escalator drive chain can be detected in real time, so that the abnormity detection flow of the escalator drive chain is simplified, and the abnormity detection efficiency of the escalator drive chain is further improved.
And step S22, determining the extension data of the escalator drive chain according to the swing angle data.
Wherein the extension data of the escalator drive chain comprises the extension of the escalator drive chain and the extension speed of the escalator drive chain. The elongation of the escalator drive chain is related to the structural characteristics or the material characteristics and the like of the escalator drive chain; the escalator driving chain is a power source for normal operation of the escalator, is in a tight state in normal operation, can be loosened from chain link to chain link in a long time, and can cause the extension of the escalator driving chain due to the fact that the distance between the chain links is lengthened; the magnitude of this elongation is the amount of elongation of the escalator drive chain. The extension speed of the escalator drive chain is the extension variation of the escalator drive chain within a certain time.
Specifically, the server determines data representing a real swing angle from the acquired swing angle data, and the data is used as the swing angle data detected this time. Converting the swing angle data into extension variable quantity data of an escalator drive chain according to a calculation mode preset in a server; the extension variation is obtained, and the extension speed of the escalator drive chain can be further obtained by combining the detection time.
The step determines the extension data of the escalator driving chain according to the swing angle data, so that the conversion from angle to length calculation is realized; the calculation of the swing angle data reduces the calculation cost of the server and also reduces the cost of detecting the extension data of the escalator drive chain; need not artifical entering staircase machine case and detect to can detect the unusual of staircase drive chain in real time, thereby simplify the unusual detection procedure of staircase drive chain, further improve the detection efficiency to the staircase drive chain is unusual.
And step S23, determining an abnormal detection result of the escalator drive chain according to the extension data of the escalator drive chain.
The detection result of the abnormity of the escalator drive chain is the detection of whether the escalator drive chain is abnormal, in particular the detection of whether the extension amount or the extension speed of the escalator drive chain exceeds a preset range.
Specifically, the server determines whether the obtained extension data belong to an abnormal detection result or not according to a corresponding relation between preset extension data and the abnormal detection result of the escalator drive chain. The abnormity detection result of the escalator drive chain is obtained, and different early warning and precautionary measures can be executed according to different abnormity detection results, for example, the obtained abnormity detection result is that the extension speed of the escalator drive chain is abnormal, the overload running time of the escalator drive chain is long, and the escalator drive chain is accelerated to age, so that the extension speed of the escalator drive chain is high; according to the result, the detection personnel can carry out targeted verification on the overload operation condition, for example, the operation parameters of the escalator are adjusted to slightly slow down the operation speed of the escalator, so that the stable operation of the escalator drive chain under normal load is ensured.
The method comprises the following steps of determining whether the escalator drive chain is abnormal or not according to the relation between preset extension data and the abnormal detection result of the escalator drive chain, and making different countermeasures according to the abnormal detection result of the escalator drive chain. The abnormity of the escalator drive chain can be detected in real time without manually entering the escalator case for detection, and the abnormity detection result of the escalator drive chain is obtained, so that the abnormity detection flow of the escalator drive chain is simplified, and the abnormity detection efficiency of the escalator drive chain is further improved.
The detection method for the abnormity of the escalator drive chain comprises the steps of receiving swing angle data sent by a sensor; the sensor is arranged at one end of a swing rod in the escalator drive chain monitoring device and used for acquiring swing angle data of the swing rod; the other end of the swing rod is connected with a pressing block component which is arranged on the escalator driving chain; determining extension data of the escalator drive chain according to the swing angle data; and determining an abnormal detection result of the escalator drive chain according to the extension data of the escalator drive chain. The method includes the steps that swing angle data are collected through a sensor arranged on a driving chain monitoring device, and extension data of an escalator driving chain are obtained through calculation according to the characteristics of the escalator driving chain; determining an abnormal detection result of the escalator drive chain according to different elongation data; need not artifical entering staircase machine case and detect to can detect the unusual of staircase drive chain in real time, thereby simplify the unusual detection procedure of staircase drive chain, further improve the detection efficiency to the staircase drive chain is unusual.
In one embodiment, as shown in fig. 3, step S22, determining elongation data of the escalator drive chain based on the swing angle data includes:
and step S31, reading the swing angle of the swing rod and the detection time corresponding to the swing angle from the swing angle data.
And the detection time is corresponding time for executing the abnormity detection of the escalator drive chain. The swing angle is a data value which is relatively stable in the swing angle data and can represent a real swing link angle.
Specifically, the server determines a real angle capable of representing the situation that the swing rod is not shaken relatively as a swing angle from a plurality of swing angle data by using data comparison, screening and the like, and reads time corresponding to the swing angle as detection time. For example, the swing angle data acquired by the server within a period of time is 15 degrees, 19 degrees, 15 degrees, 18 degrees, 15 degrees, and 19 degrees, and it can be found from this data trend that 15 degrees is a relatively stable numerical value, and there is a high possibility that a true swing link angle is a true swing link angle, and it can represent an actual extension condition of the escalator drive chain, so that it can be determined that 15 degrees is used as a swing angle from the data similar to the above swing angle data, and a time corresponding to the swing angle is used as a detection time. In practical situations, the judgment of the swing angle data trend can utilize a large amount of data for comparison, so that the value of the angle tends to be accurate.
And step S32, acquiring an elongation coefficient corresponding to the escalator drive chain.
The extension coefficient corresponding to the escalator drive chain is a numerical value which can reflect the real extension condition of the escalator drive chain and is obtained by calculation through simulation under a large number of practical conditions at the early stage according to the self structure and material characteristics of the escalator drive chain; and carrying out a plurality of times of test verification according to the characteristics of the escalator drive chain to be detected, and determining by combining theoretical calculation. Because the length of the oscillating bar is fixed and unchanged, the elongation of the escalator drive chain can be calculated according to the angle of the oscillating bar and the elongation coefficient corresponding to the escalator drive chain. Different escalator driving chains correspond to different elongation coefficients due to different materials, structures and the like; the escalator drive chain to be detected and the obtained elongation coefficient are corresponded to form a file in advance, and the elongation coefficient corresponding to the escalator drive chain can be easily obtained.
Specifically, the server obtains the elongation coefficient corresponding to the detected escalator drive chain from a database or other ways. A file containing the corresponding relation between the escalator drive chain and the elongation coefficient is stored in a database in advance; one escalator drive chain corresponds to one elongation coefficient; each escalator drive chain corresponds to one identification, and the elongation coefficient corresponding to the escalator drive chain can be found according to the identification. And the server searches in the database by using the identifier corresponding to the detected escalator drive chain to obtain the elongation coefficient corresponding to the escalator drive chain identifier, and the elongation coefficient is used as the elongation coefficient corresponding to the escalator drive chain. For example, a manufacturer A can test an escalator drive chain with a structure C produced by using a material B under a simulation situation before the escalator drive chain is delivered to a factory for use; a manufacturer utilizes 10 same escalator driving chains to simultaneously simulate operation, measures the initial length and the angle of the oscillating bar at the beginning, and measures the current length and the angle of the oscillating bar again after 10 days of simulated uninterrupted operation; the difference value of the lengths of the two times is used as the elongation, the difference value of the angles of the two times is used as the change value of the angle, and the elongation coefficient of the escalator drive chain produced by the manufacturer can be obtained according to the change relation. Meanwhile, the elongation conditions of a plurality of escalator drive chains in different places can be collected by utilizing big data, a big data model is established, and the elongation coefficient of the escalator drive chain of a certain specification and the like are continuously optimized.
Step S33, determining the current elongation of the escalator drive chain according to the swing angle and the elongation coefficient, and using the current elongation as first elongation data of the escalator drive chain; the first elongation data is marked with detection time corresponding to the current elongation, and the detection time corresponding to the current elongation is detection time corresponding to the swing angle.
Specifically, if the elongation coefficient corresponding to the escalator drive chain is k and the swing angle is L1, the elongation of the escalator drive chain can be calculated by k × L1. Because the length of the swing rod is fixed and unchanged, the elongation of the escalator drive chain can be calculated according to the angle of the swing rod (namely swing angle data); the elongation of the drive chain of the escalator is related to the chain elongation coefficient k.
The embodiment obtains the elongation of the escalator drive chain through the relation between the elongation coefficient and the swing angle, realizes the conversion from the angle to the length, and does not need to manually measure the elongation of the escalator drive chain, thereby simplifying the detection flow of the escalator drive chain abnormity and further improving the efficiency of acquiring the detection data of the escalator drive chain abnormity.
In one embodiment, before determining the elongation data of the escalator drive chain according to the swing angle data, the step S22 further includes: and acquiring the historical elongation of the escalator drive chain and the detection time corresponding to the historical elongation from a preset database.
The escalator drive chain detection method comprises the steps that historical data for carrying out abnormity detection on an escalator drive chain are stored in a preset database, and the historical data comprise historical elongation and detection time corresponding to the historical elongation; the method also comprises historical angle data, so that the elongation coefficient of the escalator drive chain can be fitted according to the historical data in the preset database; the extension trend of the escalator drive chain can be mastered according to historical data.
Specifically, the relevant data detected each time for the escalator drive chain is recorded in the preset database, so that the relevant data corresponding to any time can be read from the preset database. In combination with historical data, the elongation speed, elongation coefficient, etc. can be calculated and optimized.
In the embodiment, historical data can be traced back by presetting historical data information stored in a database, and time-related data in a certain time range, such as the elongation speed, can be calculated by using the historical data. The change condition of the escalator extension condition can be obtained through the historical extension amount and the detection time corresponding to the historical extension amount, and the range and the accuracy of acquiring the abnormal detection data of the escalator drive chain are improved.
In one embodiment, the step S22, determining the elongation data of the escalator drive chain according to the swing angle data, further includes: and determining the extension speed of the escalator drive chain according to the historical extension amount, the detection time corresponding to the historical extension amount, the current extension amount and the detection time corresponding to the current extension amount, and taking the extension speed as second extension data of the escalator drive chain.
Specifically, for example, the Date and time of the first detection is Date1, and the chain swing link angle is L1; assuming that the chain elongation coefficient is k, the chain elongation is k × L1; the Date and time of the second detection is Date2, the angle of the chain swing rod is detected to be L2, and the chain elongation is kxL 2; k × (L2-L1) is then the amount of change in the length of the drive chain of the escalator during Date1 to Date2 according to the formula
The extension speed of the escalator drive chain can be calculated and used as second extension data.
The embodiment can judge whether the escalator drive chain is in an overload running state by obtaining the extension speed of the escalator drive chain by utilizing the current extension data and the historical extension data, so that problems can be timely checked, and the detection timeliness of the escalator drive chain abnormity is improved.
In one embodiment, the step S23 of determining an abnormality detection result for the escalator drive chain according to the elongation data of the escalator drive chain includes: and if the first elongation data is larger than or equal to the preset elongation threshold value, determining that the escalator drive chain is an abnormal escalator drive chain.
Specifically, the preset elongation threshold value is obtained according to the attribute of the escalator drive chain, and when the elongation of the escalator drive chain in the use process exceeds the preset elongation threshold value, namely the escalator drive chain has the problems of aging, firmness and the like, the escalator drive chain needs to be replaced; if not replaced in time, there is a risk of breakage at any time. Therefore, when the first elongation data obtained by the server is greater than or equal to the preset elongation threshold value, the escalator drive chain is determined to be an abnormal escalator drive chain. If the first elongation data is smaller than the preset elongation threshold value, the situation that the escalator drive chain is temporarily normal at present is indicated, and replacement is not needed.
The server determines whether the escalator drive chain is extended or not through judgment of the first extension data, obtains an abnormal detection result of the escalator drive chain, and does not need to manually measure the extension amount of the escalator drive chain, so that the abnormal escalator drive chain detection process is simplified, and the abnormal escalator drive chain detection data acquisition efficiency is further improved.
In one embodiment, the step S23 of determining an abnormality detection result for the escalator drive chain according to the elongation data of the escalator drive chain includes: and if the second elongation data is greater than or equal to the preset elongation speed threshold value, determining that the escalator drive chain is an abnormal escalator drive chain.
Specifically, the preset elongation speed threshold value can be obtained according to the historical use condition of the escalator drive chain, and can also be obtained according to the reverse thrust of the preset elongation threshold value. When the escalator drive chain is stretched in the using process and the stretching speed exceeds the preset stretching speed each time, the situation that the escalator drive chain has quality problems and accelerated aging is caused is shown; if not replaced in time there is a risk of sudden elongation leading to breakage. Therefore, when the second elongation data obtained by the server is greater than or equal to the preset elongation speed threshold value, the escalator drive chain is determined to be an abnormal escalator drive chain.
The server determines whether the extension speed of the escalator drive chain is in a normal loss condition or not through the judgment of the second extension data, obtains an abnormal detection result of the escalator drive chain, and does not need manual detection, so that the abnormal detection flow of the escalator drive chain is simplified, and the efficiency of acquiring the abnormal detection data of the escalator drive chain is further improved.
In one embodiment, the step S23, as shown in fig. 4, after determining the result of detecting the abnormality of the escalator drive chain according to the elongation data of the escalator drive chain, further includes:
step S41, if the first elongation data is smaller than a preset elongation threshold, determining the time when the elongation of the escalator drive chain reaches the preset elongation threshold according to the second elongation data of the escalator drive chain, the current elongation and the detection time corresponding to the current elongation, and obtaining the predicted maintenance time;
and step S42, if the predicted maintenance time is reached, sending a reminding message for maintaining the escalator drive chain to the corresponding terminal equipment.
And when the first elongation data is smaller than the preset elongation threshold value, the escalator drive chain is in a normal state at present and has no abnormity. However, in the absence of any anomaly, it is also necessary to periodically perform manual inspection for maintenance of the drive chain of the escalator. Therefore, the time for the first elongation data to reach the preset elongation threshold can be obtained according to the second elongation data (namely the elongation speed) of the escalator drive chain and by combining the current length condition, the time for approximately needing replacing the escalator drive chain is calculated, and corresponding maintenance personnel are reminded to carry out on-site inspection on the escalator drive chain in time.
Specifically, for example, 12 points on 1 month and 1 day are used for detecting the abnormity of the escalator drive chain, the obtained second elongation data is that the escalator drive chain elongates at an elongation speed of 1cm per day, the current elongation is 10cm, and the preset elongation threshold is 20 cm. Namely, the length of the escalator drive chain can be roughly calculated to be 10 days from 10cm to 20cm, and the obtained predicted maintenance time is 1 month, 11 days and 12 points. The server sends a reminding message for maintaining the escalator drive chain to the corresponding terminal device before the time, for example, a short message for maintaining the escalator drive chain on site is sent to the maintenance person a in a form of a short message. The content of the short message information can comprise the position of the escalator needing to be maintained, whether the escalator drive chain needs to be replaced, specification parameters of the escalator drive chain and the like.
The escalator drive chain extension warning device has the advantages that the escalator drive chain extension warning device has the function of preventing the problem of escalator drive chain extension abnormity, can actively predict the time for the escalator drive chain to reach the preset extension threshold value, timely sends a warning to corresponding maintenance personnel, prevents the escalator drive chain from getting into the machine case of the escalator to detect without manual operation, and can detect the abnormity of the escalator drive chain in real time, so that the detection flow of the abnormity of the escalator drive chain is simplified, and the detection efficiency of the abnormity of the escalator drive chain is further improved.
In one embodiment, the step S23, as shown in fig. 5, after determining the abnormal detection result of the escalator drive chain according to the elongation data of the escalator drive chain, further includes:
step S51, generating early warning information corresponding to the abnormal detection result according to the abnormal detection result;
and step S52, sending the early warning information to corresponding terminal equipment.
The early warning information is different from the reminding information, and the early warning information is more urgent and needs to be processed immediately. The early warning information is an early warning for the current situation.
Specifically, if the server judges that the first elongation data is greater than or equal to a preset elongation threshold value, or the second elongation data is greater than or equal to a preset elongation speed threshold value, the server identifies the detected escalator drive chain as an abnormal escalator drive chain; according to the specific reason of the abnormity, the obtained elongation or elongation speed generates specific reminding information, and the specific reminding information is sent to corresponding equipment, such as a mobile phone of a maintainer or detection equipment of an escalator manager, so that the escalator manager is reminded to stop the operation of the escalator immediately, and the occurrence of danger is avoided. For example, the first elongation data is greater than or equal to a preset elongation threshold value, information can be sent to maintenance personnel, and the information content comprises the position of the escalator drive chain to be replaced and specification parameters of the escalator drive chain; the escalator control device can send early warning information to escalator control personnel when necessary, reduce the escalator running speed or stop the operation of the escalator, and ensure that an escalator drive chain cannot be suddenly broken or cause great danger. If the second elongation data is larger than or equal to the preset elongation speed threshold value, early warning information can be sent to escalator control personnel, the escalator control personnel are reminded to determine whether the escalator is in an overload or overweight running state, and if necessary, the escalator is decelerated to run.
According to the step, the early warning information is generated and sent, so that the abnormity of the escalator drive chain can be processed in the first time, and the safe operation of the escalator is guaranteed.
In one embodiment, as shown in fig. 1, there is provided a detection system for escalator drive chain anomalies, comprising: a server 12 and a sensor 101 connected via a network; the sensor 101 is arranged at one end of a swing rod 102 in the escalator drive chain monitoring device 10; the other end of the swing rod 102 is connected with a pressing block component 103, and the pressing block component 103 is arranged on the escalator drive chain 14;
the sensor 101 is used for acquiring swing angle data of the swing rod 102 and sending the swing angle data to the server 12;
the server 12 is used for receiving the swing angle data sent by the sensor 101; determining extension data of the escalator drive chain 14 according to the swing angle data; and determining an abnormal detection result of the escalator drive chain 14 according to the extension data of the escalator drive chain 14.
In the embodiment, the swing angle data is acquired through a sensor arranged on the drive chain monitoring device, and the extension data of the escalator drive chain is calculated by combining the characteristics of the escalator drive chain; determining an abnormal detection result of the escalator drive chain according to different elongation data; need not artifical entering staircase machine case and detect to can detect the unusual of staircase drive chain in real time, thereby simplify the unusual detection procedure of staircase drive chain, further improve the detection efficiency to the staircase drive chain is unusual.
It should be understood that although the various steps in the flow charts of fig. 2-5 are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least some of the steps in fig. 2-5 may include multiple steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, which are not necessarily performed in sequence, but may be performed in turn or alternately with other steps or at least some of the other steps.
In one embodiment, as shown in fig. 6, there is provided a device for detecting an abnormality of an escalator drive chain, including: a data receiving module 61, a data determining module 62 and an anomaly detection module 63, wherein:
the data receiving module 61 is used for receiving the swing angle data sent by the sensor; the sensor is arranged at one end of a swing rod in the escalator drive chain monitoring device and used for acquiring swing angle data of the swing rod; the other end of the swing rod is connected with a pressing block component which is arranged on the escalator driving chain;
a data determination module 62 for determining elongation data of the escalator drive chain based on the swing angle data;
and the abnormity detection module 63 is used for determining an abnormity detection result of the escalator drive chain according to the extension data of the escalator drive chain.
In one embodiment, the data determining module 62 is further configured to read the swing angle of the swing link and the detection time corresponding to the swing angle from the swing angle data; acquiring an elongation coefficient corresponding to an escalator drive chain; determining the current elongation of the escalator drive chain according to the swing angle and the elongation coefficient, and using the current elongation as first elongation data of the escalator drive chain; the first elongation data is marked with detection time corresponding to the current elongation, and the detection time corresponding to the current elongation is detection time corresponding to the swing angle.
In one embodiment, the data determination module 62 is further configured to obtain the historical elongation of the escalator drive chain and the detection time corresponding to the historical elongation from a preset database; and determining the extension speed of the escalator drive chain according to the historical extension amount, the detection time corresponding to the historical extension amount, the current extension amount and the detection time corresponding to the current extension amount, and taking the extension speed as second extension data of the escalator drive chain.
In one embodiment, the anomaly detection module 63 is further configured to determine that the escalator drive chain is an abnormal escalator drive chain if the first elongation data is greater than or equal to a preset elongation threshold; and/or if the second elongation data is greater than or equal to the preset elongation speed threshold value, determining that the escalator drive chain is an abnormal escalator drive chain.
In one embodiment, the detection apparatus for detecting an abnormality of an escalator drive chain further includes a predicted maintenance time determination module, configured to determine, according to second elongation data of the escalator drive chain, a current elongation and a detection time corresponding to the current elongation, a time when the elongation of the escalator drive chain reaches a preset elongation threshold, if the first elongation data is smaller than a preset elongation threshold, and obtain a predicted maintenance time; and if the predicted maintenance time is reached, sending reminding information for maintaining the escalator drive chain to corresponding terminal equipment.
In one embodiment, the detection device for the abnormity of the escalator drive chain further comprises an early warning information determination module, which is used for generating early warning information corresponding to the abnormity detection result according to the abnormity detection result; and sending the early warning information to corresponding terminal equipment.
For the specific definition of the detection device for the abnormality of the escalator drive chain, reference may be made to the above definition of the detection method for the abnormality of the escalator drive chain, and details are not described here. All or part of each module in the detection device for the escalator drive chain abnormity can be realized by software, hardware and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
In one embodiment, a computer device is provided, which may be a server, the internal structure of which may be as shown in fig. 7. The computer device includes a processor, a memory, and a network interface connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The database of the computer equipment is used for storing the detection data of the abnormity of the escalator drive chain. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to realize a method for detecting the abnormality of the escalator drive chain.
Those skilled in the art will appreciate that the architecture shown in fig. 7 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, a computer device is provided, comprising a memory and a processor, the memory having a computer program stored therein, the processor implementing the following steps when executing the computer program:
receiving swing angle data sent by a sensor; the sensor is arranged at one end of a swing rod in the escalator drive chain monitoring device and used for acquiring swing angle data of the swing rod; the other end of the swing rod is connected with a pressing block component which is arranged on the escalator driving chain;
determining extension data of the escalator drive chain according to the swing angle data;
and determining an abnormal detection result of the escalator drive chain according to the extension data of the escalator drive chain.
In one embodiment, the processor, when executing the computer program, further performs the steps of: reading the swing angle of the swing rod and the detection time corresponding to the swing angle from the swing angle data; acquiring an elongation coefficient corresponding to an escalator drive chain; determining the current elongation of the escalator drive chain according to the swing angle and the elongation coefficient, and using the current elongation as first elongation data of the escalator drive chain; the first elongation data is marked with detection time corresponding to the current elongation, and the detection time corresponding to the current elongation is detection time corresponding to the swing angle.
In one embodiment, the processor, when executing the computer program, further performs the steps of: acquiring historical elongation of the escalator drive chain and detection time corresponding to the historical elongation from a preset database; according to the swing angle data, determining the extension data of the escalator drive chain, and further comprising: and determining the extension speed of the escalator drive chain according to the historical extension amount, the detection time corresponding to the historical extension amount, the current extension amount and the detection time corresponding to the current extension amount, and taking the extension speed as second extension data of the escalator drive chain.
In one embodiment, the processor, when executing the computer program, further performs the steps of: if the first elongation data are larger than or equal to the preset elongation threshold value, determining the escalator drive chain as an abnormal escalator drive chain; and/or if the second elongation data is greater than or equal to the preset elongation speed threshold value, determining that the escalator drive chain is an abnormal escalator drive chain.
In one embodiment, the processor, when executing the computer program, further performs the steps of: if the first elongation data is smaller than the preset elongation threshold, determining the time when the elongation of the escalator drive chain reaches the preset elongation threshold according to the second elongation data of the escalator drive chain, the current elongation and the detection time corresponding to the current elongation, and obtaining the predicted maintenance time; and if the predicted maintenance time is reached, sending reminding information for maintaining the escalator drive chain to corresponding terminal equipment.
In one embodiment, the processor, when executing the computer program, further performs the steps of: generating early warning information corresponding to the abnormal detection result according to the abnormal detection result; and sending the early warning information to corresponding terminal equipment.
In one embodiment, a computer-readable storage medium is provided, having a computer program stored thereon, which when executed by a processor, performs the steps of:
receiving swing angle data sent by a sensor; the sensor is arranged at one end of a swing rod in the escalator drive chain monitoring device and used for acquiring swing angle data of the swing rod; the other end of the swing rod is connected with a pressing block component which is arranged on the escalator driving chain;
determining extension data of the escalator drive chain according to the swing angle data;
and determining an abnormal detection result of the escalator drive chain according to the extension data of the escalator drive chain.
In one embodiment, the computer program when executed by the processor further performs the steps of: reading the swing angle of the swing rod and the detection time corresponding to the swing angle from the swing angle data; acquiring an elongation coefficient corresponding to an escalator drive chain; determining the current elongation of the escalator drive chain according to the swing angle and the elongation coefficient, and using the current elongation as first elongation data of the escalator drive chain; the first elongation data is marked with detection time corresponding to the current elongation, and the detection time corresponding to the current elongation is detection time corresponding to the swing angle.
In one embodiment, the computer program when executed by the processor further performs the steps of: acquiring historical elongation of the escalator drive chain and detection time corresponding to the historical elongation from a preset database; according to the swing angle data, determining the extension data of the escalator drive chain, and further comprising: and determining the extension speed of the escalator drive chain according to the historical extension amount, the detection time corresponding to the historical extension amount, the current extension amount and the detection time corresponding to the current extension amount, and taking the extension speed as second extension data of the escalator drive chain.
In one embodiment, the computer program when executed by the processor further performs the steps of: if the first elongation data are larger than or equal to the preset elongation threshold value, determining the escalator drive chain as an abnormal escalator drive chain; and/or if the second elongation data is greater than or equal to the preset elongation speed threshold value, determining that the escalator drive chain is an abnormal escalator drive chain.
In one embodiment, the computer program when executed by the processor further performs the steps of: if the first elongation data is smaller than the preset elongation threshold, determining the time when the elongation of the escalator drive chain reaches the preset elongation threshold according to the second elongation data of the escalator drive chain, the current elongation and the detection time corresponding to the current elongation, and obtaining the predicted maintenance time; and if the predicted maintenance time is reached, sending reminding information for maintaining the escalator drive chain to corresponding terminal equipment.
In one embodiment, the computer program when executed by the processor further performs the steps of: generating early warning information corresponding to the abnormal detection result according to the abnormal detection result; and sending the early warning information to corresponding terminal equipment.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware related to instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database or other medium used in the embodiments provided herein can include at least one of non-volatile and volatile memory. Non-volatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical storage, or the like. Volatile Memory can include Random Access Memory (RAM) or external cache Memory. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM), among others.
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above examples only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. A method of detecting an escalator drive chain anomaly, the method comprising:
receiving swing angle data sent by a sensor; the sensor is arranged at one end of a swing rod in the escalator drive chain monitoring device and used for acquiring swing angle data of the swing rod; the other end of the oscillating bar is connected with a pressing block component, and the pressing block component is arranged on the escalator driving chain and used for applying dead weight to the escalator driving chain, so that the oscillating bar connected with the pressing block is driven by the chain to swing up and down in the operation process to generate a swing angle;
determining extension data of the escalator drive chain according to the swing angle data;
and determining an abnormal detection result of the escalator drive chain according to the extension data of the escalator drive chain.
2. The method of claim 1 wherein said determining elongation data for said escalator drive chain based on said swing angle data comprises:
reading the swing angle of the swing rod and the detection time corresponding to the swing angle from the swing angle data;
obtaining an elongation coefficient corresponding to the escalator drive chain;
determining the current elongation of the escalator drive chain according to the swing angle and the elongation coefficient, and using the current elongation as first elongation data of the escalator drive chain; the first elongation data is marked with detection time corresponding to the current elongation, and the detection time corresponding to the current elongation is detection time corresponding to the swing angle.
3. The method of claim 2, further comprising, prior to determining the elongation data for the escalator drive chain based on the swing angle data:
acquiring historical elongation of the escalator drive chain and detection time corresponding to the historical elongation from a preset database;
the determining the elongation data of the escalator drive chain according to the swing angle data further comprises:
and determining the extension speed of the escalator driving chain according to the historical extension amount, the detection time corresponding to the historical extension amount, the current extension amount and the detection time corresponding to the current extension amount, and taking the extension speed as second extension data of the escalator driving chain.
4. The method of claim 3, wherein determining the anomaly detection result for the escalator drive chain based on the elongation data for the escalator drive chain comprises:
if the first elongation data are larger than or equal to a preset elongation threshold value, determining that the escalator drive chain is an abnormal escalator drive chain;
and/or the presence of a gas in the gas,
and if the second elongation data is greater than or equal to a preset elongation speed threshold value, determining that the escalator drive chain is an abnormal escalator drive chain.
5. The method of claim 4, after determining the result of the anomaly detection for the escalator drive chain based on the elongation data for the escalator drive chain, further comprising:
if the first elongation data is smaller than a preset elongation threshold, determining the time when the elongation of the escalator drive chain reaches the preset elongation threshold according to the second elongation data of the escalator drive chain, the current elongation and the detection time corresponding to the current elongation, and obtaining the predicted maintenance time;
and if the predicted maintenance time is reached, sending a reminding message for maintaining the escalator drive chain to corresponding terminal equipment.
6. The method of any one of claims 1 to 4, further comprising, after determining the result of the detection of the abnormality of the escalator drive chain based on the elongation data of the escalator drive chain:
generating early warning information corresponding to the abnormal detection result according to the abnormal detection result;
and sending the early warning information to corresponding terminal equipment.
7. A detection device for escalator drive chain abnormity is characterized in that the device comprises:
the data receiving module is used for receiving swing angle data sent by the sensor; the sensor is arranged at one end of a swing rod in the escalator drive chain monitoring device and used for acquiring swing angle data of the swing rod; the other end of the oscillating bar is connected with a pressing block component, and the pressing block component is arranged on the escalator driving chain and used for applying dead weight to the escalator driving chain, so that the oscillating bar connected with the pressing block is driven by the chain to swing up and down in the operation process to generate a swing angle;
the data determining module is used for determining the extension data of the escalator driving chain according to the swing angle data;
and the abnormity detection module is used for determining an abnormity detection result of the escalator drive chain according to the extension data of the escalator drive chain.
8. A detection system for escalator drive chain anomalies, comprising: a server and a sensor connected via a network; the sensor is arranged at one end of a swing rod in the escalator drive chain monitoring device; the other end of the oscillating bar is connected with a pressing block component, and the pressing block component is arranged on the escalator driving chain and used for applying dead weight to the escalator driving chain, so that the oscillating bar connected with the pressing block is driven by the chain to swing up and down in the operation process to generate a swing angle;
the sensor is used for acquiring swing angle data of the swing rod and sending the swing angle data to the server;
the server for executing the steps of the method for detecting an abnormality of an escalator drive chain according to any one of claims 1 to 6.
9. A computer device comprising a memory and a processor, the memory storing a computer program, wherein the processor implements the steps of the method of any one of claims 1 to 6 when executing the computer program.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 6.
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| JPH0717340B2 (en) * | 1987-11-02 | 1995-03-01 | 株式会社日立製作所 | Brake device for passenger conveyor |
| JP3570914B2 (en) * | 1999-04-07 | 2004-09-29 | 株式会社日立ビルシステム | Chain elongation diagnostic device |
| JP2009113878A (en) * | 2007-11-01 | 2009-05-28 | Hitachi Ltd | Passenger conveyer |
| JP5936655B2 (en) * | 2014-08-18 | 2016-06-22 | 三菱電機ビルテクノサービス株式会社 | Chain elongation detection device for passenger conveyors |
| CN207061616U (en) * | 2017-07-14 | 2018-03-02 | 株式会社日立制作所 | Passenger conveying equipment and its safety device |
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