CN111559679A - Traction steel belt damage detection method and device, computer equipment and system - Google Patents
Traction steel belt damage detection method and device, computer equipment and system Download PDFInfo
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- CN111559679A CN111559679A CN201911412494.3A CN201911412494A CN111559679A CN 111559679 A CN111559679 A CN 111559679A CN 201911412494 A CN201911412494 A CN 201911412494A CN 111559679 A CN111559679 A CN 111559679A
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- 229910000831 Steel Inorganic materials 0.000 title claims abstract description 167
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- 238000012544 monitoring process Methods 0.000 claims description 24
- 238000004590 computer program Methods 0.000 claims description 21
- 230000002159 abnormal effect Effects 0.000 claims description 6
- 238000012423 maintenance Methods 0.000 abstract description 5
- 230000002035 prolonged effect Effects 0.000 abstract description 4
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- 238000000576 coating method Methods 0.000 description 3
- 229910052755 nonmetal Inorganic materials 0.000 description 3
- 239000004814 polyurethane Substances 0.000 description 3
- 229920002635 polyurethane Polymers 0.000 description 3
- 239000000725 suspension Substances 0.000 description 3
- 238000005299 abrasion Methods 0.000 description 2
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
- B66B5/00—Applications of checking, fault-correcting, or safety devices in elevators
- B66B5/0006—Monitoring devices or performance analysers
- B66B5/0018—Devices monitoring the operating condition of the elevator system
- B66B5/0031—Devices monitoring the operating condition of the elevator system for safety reasons
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
- B66B5/00—Applications of checking, fault-correcting, or safety devices in elevators
- B66B5/02—Applications of checking, fault-correcting, or safety devices in elevators responsive to abnormal operating conditions
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Abstract
The application relates to a traction steel belt damage detection method, a traction steel belt damage detection device, computer equipment and a traction steel belt damage detection system. The method comprises the following steps: acquiring distance data between each point on the surface of the steel strip and the acquisition device; acquiring the position of a concave structure on the surface of the steel strip based on the distance data; obtaining a volume of the recessed structure based on the recessed structure position and the distance data; the corresponding safety operation is performed based on the volume of the recessed structure. According to the method, the device, the computer equipment and the system for detecting the damage of the traction steel belt, the distance data between each point on the surface of the steel belt and the acquisition device is acquired; acquiring the position of a concave structure on the surface of the steel strip based on the distance data; the volume of the concave structure is obtained based on the position and the distance data of the concave structure, and the damage degree of the surface of the steel strip is detected in real time by a method for executing corresponding safe operation based on the volume of the concave structure, so that the steel strip is repaired in time when only small damage exists, the service life of the steel strip is prolonged, and the maintenance cost is saved.
Description
Technical Field
The application relates to the technical field of elevator control, in particular to a traction steel belt damage detection method, a traction steel belt damage detection device, computer equipment and a traction steel belt damage detection system.
Background
The traditional elevator adopts a steel wire rope as a traction rope, the steel wire rope rounds a traction rope wheel of a motor through a certain wrap angle, one end of the steel wire rope is connected with a lift car of the elevator, and the other end of the steel wire rope is connected with a balance weight of the elevator. In order to avoid abrasion between the traction suspension steel wire rope and the metal traction wheel, a flat steel belt is invented, a plurality of strands of steel wires are wrapped by external polyurethane non-metal materials, the fact that the internal steel wire rope is not directly contacted with the traction rope wheel in the whole service life period is guaranteed, the service life of the traction suspension rope is greatly prolonged, in order to further reduce the risk that the novel traction suspension rope is broken due to various improper use, abrasion and fatigue, a steel belt real-time monitoring device is further invented, the resistance change of each strand of steel wire in the steel belt is monitored in real time, and once the early-stage wire breaking phenomenon of one strand of steel wire is found, the system gives an alarm to remind an elevator maintenance worker to check or replace the steel belt.
A large number of using conditions show that the damage of the steel belt, particularly the damage caused by improper use or installation always starts from the damage of an external polyurethane nonmetal coating layer, namely the damage and the cracking of the prior polyurethane surface gradually develop to the exposure of an internal steel wire rope, then the internal steel wire strand is abraded, and finally the elevator is in failure, and in the early failure stage of the damage and the cracking of the polyurethane coating layer in the process, the real-time monitoring device for the steel belt is not functional, so that the damage condition of the steel belt is difficult to find in time at the first time in the maintenance process of the steel belt elevator, and various safety risks are caused.
At present, when the steel band elevator found the steel band damage by the manual work, the non-metal coating surface of steel band had very big crackle or damaged usually, and the steel wire has worn out the steel band coating even, because the coefficient of friction of every steel band coating uses a period back at the steel band, its ageing degree is incomplete the same, leads to the coefficient of friction of every steel band also can be different, in case a certain steel band takes place to damage, all steel bands all need to be changed, and is with high costs.
Disclosure of Invention
In view of the above, it is necessary to provide a method, an apparatus, a computer device and a system for detecting damage to a traction steel belt, which are directed to the technical problem of the current steel belt damage monitoring lag.
A method for detecting damage of a traction steel belt comprises the following steps:
acquiring distance data between each point on the surface of the steel strip and the acquisition device;
acquiring the position of a concave structure on the surface of the steel strip based on the distance data;
obtaining a volume of the recessed structure based on the recessed structure position and the distance data;
a corresponding safety operation is performed based on the volume of the recessed structure.
In one of the embodiments, the acquisition device is a TOF camera.
In one embodiment, the obtaining the position of the concave structure on the surface of the steel strip based on the distance data comprises:
comparing the distance data of each point on the surface of the steel strip with preset data, and if the distance data is matched with the preset data, determining that no concave structure exists at the point;
if the distance data is not matched with the preset data, the point has a concave structure, and the position of the concave structure is obtained.
In one embodiment, the obtaining the volume of the concave structure based on the concave structure position and the distance data comprises:
acquiring a difference value between distance data and preset data of the concave structure;
the volume of the concave structure is obtained based on the difference.
In one of the embodiments, the first and second electrodes are,
the performing of the respective safety operation based on the volume of the recessed structure comprises:
comparing the volume of the recessed structure to a preset recessed volume threshold;
determining the damage degree of the traction steel belt based on the comparison result;
and sending a corresponding signal based on the damage degree of the traction steel belt.
In one embodiment, the performing a safety operation based on the volume of the recessed structure includes:
and if the volume of the concave structure is greater than the first concave volume threshold value and less than the second concave volume threshold value, sending an alarm signal.
In one embodiment, the performing a safety operation based on the volume of the recessed structure further comprises:
and if the volume of the concave structure is larger than a second concave volume threshold value, sending an abnormal monitoring signal for controlling the elevator to stop running.
A traction steel belt breakage detection apparatus, the apparatus comprising:
the first module is used for acquiring distance data between each point on the surface of the steel strip and the acquisition device;
a second module for obtaining a position of a concave structure of the surface of the steel strip based on the distance data;
a third module for obtaining a volume of the recessed feature based on the recessed feature location and distance data;
a fourth module for performing a corresponding safety operation based on the volume of the recessed structure.
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:
acquiring distance data between each point on the surface of the steel strip and the acquisition device;
acquiring the position of a concave structure on the surface of the steel strip based on the distance data;
obtaining a volume of the recessed structure based on the recessed structure position and the distance data;
a corresponding safety operation is performed based on the volume of the recessed structure.
A traction steel belt breakage detection system comprises:
the acquisition device is used for acquiring distance data between each point on the surface of the steel strip and the acquisition device;
the monitoring host is connected with the acquisition device and used for receiving the distance data, correspondingly acquiring the damage degree of the traction steel belt and sending a corresponding signal based on the damage degree of the traction steel belt;
the alarm device is connected with the monitoring host and used for receiving signals from the monitoring host and giving an alarm;
and the elevator controller is connected with the monitoring host machine and used for receiving the signal from the monitoring host machine and controlling the elevator to stop running.
According to the method, the device, the computer equipment and the system for detecting the damage of the traction steel belt, the distance data between each point on the surface of the steel belt and the acquisition device is acquired; acquiring the position of a concave structure on the surface of the steel strip based on the distance data; the volume of the concave structure is obtained based on the position and the distance data of the concave structure, and the damage degree of the surface of the steel strip is detected in real time based on the method for executing safe operation based on the volume of the concave structure, so that the steel strip is repaired in time when only small damage exists, the service life of the steel strip is prolonged, and the maintenance cost is saved.
Drawings
Fig. 1 is a schematic flow chart of a method for detecting damage to a traction steel belt according to an embodiment of the present invention;
fig. 2 is a front view schematically showing the arrangement of TOF cameras of the method for detecting breakage of a traction steel belt according to an embodiment of the present invention;
FIG. 3 is a plan view schematically showing the arrangement of TOF cameras of a method for detecting breakage of a traction steel belt according to an embodiment of the present invention;
fig. 4 is a schematic diagram of distance data acquisition in a traction steel belt breakage detection method according to an embodiment of the present invention;
FIG. 5 is an enlarged view of part A of FIG. 4;
FIG. 6 is a block diagram showing the structure of a damaged hoisting steel belt detecting device according to an embodiment of the present invention;
FIG. 7 is a diagram illustrating an internal structure of a computer device according to an embodiment;
fig. 8 is a schematic diagram of a system for detecting breakage of a hoisting steel belt according to an embodiment of the present invention.
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.
Referring to fig. 1, fig. 1 is a schematic flow chart illustrating a method for detecting damage to a traction steel belt according to an embodiment of the present invention.
In this embodiment, the method for detecting a damage of a hoisting steel belt includes:
and step 100, acquiring distance data between each point on the surface of the steel strip and the acquisition device.
Illustratively, distance data between each point on the surface of the steel strip and the collecting device is acquired to detect whether the surface of the steel strip has concave damage.
Based on the distance data, the position of the concave structure of the surface of the steel strip is obtained, step 110.
It can be understood that when the distance data of each point on the surface of the steel strip is not consistent with the preset data, the point is indicated to have the concave structure, and the position of the concave structure can be determined.
Based on the concave structure position and the distance data, a volume of the concave structure is obtained, step 120.
In the present embodiment, the recessed degree of the recessed structure is obtained based on the recessed structure position and the distance data and the volume is calculated.
A safety operation is performed based on the volume of the recessed structure, step 130.
It can be understood that the breakage degree of the steel strip is judged according to the size of the volume of the concave structure so as to execute corresponding safe operation.
According to the method for detecting the damage of the traction steel belt, distance data between each point on the surface of the steel belt and the acquisition device is acquired; acquiring the position of a concave structure on the surface of the steel strip based on the distance data; the method for obtaining the volume of the concave structure based on the position and the distance data of the concave structure and executing safe operation based on the volume of the concave structure detects the damage degree of the surface of the steel strip in real time so as to repair the steel strip in time when only small damage exists, prolong the service time of the steel strip and save the cost.
In another embodiment, the obtaining distance data between the points on the surface of the steel strip and the collection device comprises obtaining distance data between the points on the surface of the steel strip and the collection device based on infrared detection. Specifically, the acquisition device emits infrared rays, and distance data between each point on the surface of the steel strip and the acquisition device is obtained based on the flight time of the infrared rays. In particular, the acquisition device may be a TOF camera.
Referring to fig. 2 and 3, fig. 2 is a front view of a TOF camera of the method for detecting damage to a hoisting steel belt according to an embodiment of the invention, and fig. 3 is a top view of the TOF camera of the method for detecting damage to a hoisting steel belt according to an embodiment of the invention. Specifically, the TOF camera 1 is disposed outside or inside the steel belt 2 near the elevator motor traction sheave 3 or the guide sheave, or the TOF camera 1 is disposed outside and inside the steel belt 2 at the same time to monitor the steel belt 2.
In another embodiment, the step of storing the distance data after acquiring the distance data between each point on the surface of the steel strip and the collecting device further comprises storing the distance data. It will be appreciated that the measured distance data is stored in memory to provide data for subsequent calculations.
Illustratively, the obtaining of the position of the concave structure on the surface of the steel strip based on the distance data comprises comparing the distance data of each point on the surface of the steel strip with preset data, and if the distance data matches with the preset data, the point has no concave structure; if the distance data is not matched with the preset data, the point has a concave structure, and the position of the concave structure is obtained.
It can be understood that the distance data between each point on the surface of the steel strip and the first module is compared with the distance reference value of each point corresponding to the theoretical calculation, if the difference value is 0, the surface of the steel strip corresponding to the point is considered to have no concave structure caused by damage, cracks and the like, and if the difference value is not equal to 0, the surface of the steel strip corresponding to the point is considered to have concave structure caused by damage, cracks and the like, and the position of the concave structure is determined.
Referring to fig. 4 and 5, fig. 4 is a schematic diagram of distance data acquisition in a method for detecting damage to a traction steel belt according to an embodiment of the present invention, and fig. 5 is a schematic diagram of a portion a in fig. 4 after being enlarged. Specifically, Xn is a distance value between a certain point on the surface of the steel strip 2 and the TOF camera 1 obtained by theoretical calculation and analysis, Xn 'is actual distance data measured by flight time of infrared rays, a is an included angle formed by a connecting line between the TOF camera 1 and the point and a vertical line on the surface of the steel strip 2, the actually measured concave depth size of the point on the surface of the steel strip 2 is (Xn' -Xn) × sin (a), if Xn '-Xn ≠ 0, the concave structure 4 does not exist in the point, and if Xn' -Xn ≠ 0, the concave structure 4 exists in the point, and the position of the point is determined. Therefore, the actual measurement and theoretical comparison values of all the points on the surface of the steel strip 2 are calculated, and the existence of the concave structures 4 on the surface of the steel strip 2 and the positions of the concave structures 4 can be obtained.
In another embodiment, obtaining the volume of the recessed structure based on the position of the recessed structure and the distance data comprises obtaining a difference of the distance data of the recessed structure and preset data; the volume of the concave structure is obtained based on the difference. It is understood that, as a result of the above calculation process, the difference between the distance data of the recessed structures and the preset data is Xn '-Xn, the recessed depth dimension of the recessed structures is (Xn' -Xn) × sin (a), and the recessed depth dimensions of all points within the range of the recessed structures are calculated, i.e., the volume of the recessed structures is calculated.
In another embodiment, performing a safety operation based on the volume of the recessed structure comprises comparing the volume of the recessed structure to a preset recessed volume threshold; determining the damage degree of the traction steel belt based on the comparison result; and sending a corresponding signal based on the damage degree of the traction steel belt.
Illustratively, the safety operation includes issuing an alarm signal if the volume of the recessed structure is greater than a first recessed volume threshold and less than a second recessed volume threshold. It can be understood that first recessed volume threshold value and the recessed volume threshold value of second can be set up according to priori knowledge by the user, and when the volume of recessed structure was greater than first recessed volume threshold value and was less than the recessed volume threshold value of second, it is not serious to explain steel band surface damage, does not influence the normal use of steel band temporarily, and the alarm signal can be light signal or sound signal, only needs to play the warning effect, reminds the user in time to overhaul the steel band and maintain can.
Illustratively, performing the safety operation based on the volume of the recessed structure further includes issuing an anomaly monitoring signal that controls the elevator to stop operating if the volume of the recessed structure is greater than a second recessed volume threshold. It can be understood that when the volume of the concave structure is larger than the second concave volume threshold value, the surface damage of the steel belt is serious, the normal use of the steel belt is affected, and an accident may occur, so that an abnormal monitoring signal is sent out, and the elevator is controlled to stop running or be leveled nearby and stop.
It should be understood that, although the steps in the flowchart of fig. 1 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 a portion of the steps in fig. 1 may include multiple sub-steps or multiple stages that are not necessarily performed at the same time, but may be performed at different times, and the order of performance of the sub-steps or stages is not necessarily sequential, but may be performed in turn or alternately with other steps or at least a portion of the sub-steps or stages of other steps.
In one embodiment, as shown in fig. 6, there is provided a traction steel belt breakage detecting apparatus including: a first module 200, a second module 210, a third module 220, and a fourth module 230, wherein:
the first module 200 is used for acquiring distance data between each point on the surface of the steel strip and the acquisition device.
A second module 210 for obtaining a location of the concave structure of the surface of the steel strip based on the distance data.
A second module 210, further configured to:
comparing the distance data of each point on the surface of the steel strip with preset data, and if the distance data is matched with the preset data, determining that no concave structure exists at the point;
if the distance data is not matched with the preset data, the point has a concave structure, and the position of the concave structure is obtained.
A third module 220 for obtaining a volume of the recessed feature based on the recessed feature location and the distance data.
A third module 220, further configured to:
acquiring a difference value between distance data of the concave structure and preset data;
the volume of the concave structure is obtained based on the difference.
A fourth module 230 for performing a safety operation based on the volume of the recessed structure.
A fourth module 230, further configured to:
comparing the volume of the recessed structure to a preset recessed volume threshold;
determining the damage degree of the traction steel belt based on the comparison result;
and sending a corresponding signal based on the damage degree of the traction steel belt.
The fourth module 230 is further configured to send an alarm signal if the volume of the recessed structure is greater than the first recessed volume threshold and less than the second recessed volume threshold.
The fourth module 230 is further configured to send an abnormal monitoring signal for controlling the elevator to stop operating if the volume of the recessed structure is greater than the second recessed volume threshold.
For the specific limitation of the hoisting steel strip breakage detection device, reference is made to the above limitation on the hoisting steel strip breakage detection method, which is not described herein again. All or part of the modules in the traction steel belt damage detection device 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 terminal, and its internal structure diagram may be as shown in fig. 7. The computer device includes a processor, a memory, a network interface, a display screen, and an input device 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 and a computer program. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. 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 implement a method for detecting a damage to a traction steel belt. The display screen of the computer equipment can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer equipment can be a touch layer covered on the display screen, a key, a track ball or a touch pad arranged on the shell of the computer equipment, an external keyboard, a touch pad or a mouse and the like.
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:
acquiring distance data between each point on the surface of the steel strip and the acquisition device;
acquiring the position of a concave structure on the surface of the steel strip based on the distance data;
the volume of the recessed structure is obtained based on the recessed structure position and the distance data.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
comparing the distance data of each point on the surface of the steel strip with preset data, and if the distance data is matched with the preset data, determining that no concave structure exists at the point;
if the distance data is not matched with the preset data, the point has a concave structure, and the position of the concave structure is obtained.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
acquiring a difference value between distance data of the concave structure and preset data;
the volume of the concave structure is obtained based on the difference.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
comparing the volume of the recessed structure to a preset recessed volume threshold;
determining the damage degree of the traction steel belt based on the comparison result;
and sending a corresponding signal based on the damage degree of the traction steel belt.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
if the volume of the recessed structure is greater than the first recessed volume threshold and less than the second recessed volume threshold, an alarm signal is issued.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
and if the volume of the concave structure is larger than the second concave volume threshold value, sending an abnormal monitoring signal for controlling the elevator to stop running.
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:
acquiring distance data between each point on the surface of the steel strip and the acquisition device;
acquiring the position of a concave structure on the surface of the steel strip based on the distance data;
the volume of the recessed structure is obtained based on the recessed structure position and the distance data.
In one embodiment, the computer program when executed by the processor further performs the steps of:
comparing the distance data of each point on the surface of the steel strip with preset data, and if the distance data is matched with the preset data, determining that no concave structure exists at the point;
if the distance data is not matched with the preset data, the point has a concave structure, and the position of the concave structure is obtained.
In one embodiment, the computer program when executed by the processor further performs the steps of:
acquiring a difference value between distance data of the concave structure and preset data;
the volume of the concave structure is obtained based on the difference.
In one embodiment, the computer program when executed by the processor further performs the steps of:
comparing the volume of the recessed structure to a preset recessed volume threshold;
determining the damage degree of the traction steel belt based on the comparison result;
and sending a corresponding signal based on the damage degree of the traction steel belt.
In one embodiment, the computer program when executed by the processor further performs the steps of:
if the volume of the recessed structure is greater than the first recessed volume threshold and less than the second recessed volume threshold, an alarm signal is issued.
In one embodiment, the computer program when executed by the processor further performs the steps of:
and if the volume of the concave structure is larger than the second concave volume threshold value, sending an abnormal monitoring signal for controlling the elevator to stop running.
Referring to fig. 8, the present application further provides a system for detecting damage of a traction steel belt, which includes a collecting device 300, a monitoring host 310, an alarm device 320, and an elevator controller 330, wherein:
the acquisition device 300 is used for acquiring distance data between each point on the surface of the steel strip and the acquisition device;
the monitoring host 310 is connected with the acquisition device 300 and used for receiving the distance data, correspondingly obtaining the damage degree of the traction steel belt and sending a corresponding signal based on the damage degree of the traction steel belt;
the alarm device 320 is connected with the monitoring host 310 and used for receiving signals from the monitoring host 310 and giving an alarm;
and the elevator controller 330 is connected with the monitoring host 310 and used for receiving the signal from the monitoring host 310 and controlling the elevator to stop running.
According to the method, the device, the computer equipment and the system for detecting the damage of the traction steel belt, the distance data between each point on the surface of the steel belt and the acquisition device is acquired; acquiring the position of a concave structure on the surface of the steel strip based on the distance data; the volume of the concave structure is obtained based on the position and the distance data of the concave structure, and the damage degree of the surface of the steel strip is detected in real time by a method for executing corresponding safe operation based on the volume of the concave structure, so that the steel strip is repaired in time when only small damage exists, the service life of the steel strip is prolonged, and the maintenance cost is saved.
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 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 may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
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-mentioned embodiments 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 for detecting damage of a traction steel belt is characterized by comprising the following steps:
acquiring distance data between each point on the surface of the steel strip and the acquisition device;
acquiring the position of a concave structure on the surface of the steel strip based on the distance data;
obtaining a volume of the recessed structure based on the recessed structure position and the distance data;
a corresponding safety operation is performed based on the volume of the recessed structure.
2. The method for detecting damage to a hoisting steel strip according to claim 1, wherein the collecting means is a TOF camera.
3. The method of detecting damage to a hoisting steel belt according to claim 2, wherein the obtaining the position of the recessed structure on the surface of the steel belt based on the distance data comprises:
comparing the distance data of each point on the surface of the steel strip with preset data, and if the distance data is matched with the preset data, determining that no concave structure exists at the point;
if the distance data is not matched with the preset data, the point has a concave structure, and the position of the concave structure is obtained.
4. The method of detecting damage to a hoisting steel belt according to claim 3 wherein the obtaining the volume of the recessed structure based on the recessed structure position and distance data comprises:
acquiring a difference value between distance data and preset data of the concave structure;
the volume of the concave structure is obtained based on the difference.
5. The method of detecting breakage of a hoisting steel belt according to claim 1, wherein the performing of the corresponding safety operation based on the volume of the recessed structure comprises:
comparing the volume of the recessed structure to a preset recessed volume threshold;
determining the damage degree of the traction steel belt based on the comparison result;
and sending a corresponding signal based on the damage degree of the traction steel belt.
6. The method for detecting breakage of a hoisting steel belt according to claim 5, wherein the safety operation comprises:
and if the volume of the concave structure is greater than the first concave volume threshold value and less than the second concave volume threshold value, sending an alarm signal.
7. The method for detecting breakage of a hoisting steel belt according to claim 5, wherein the safety operation further comprises:
and if the volume of the concave structure is larger than a second concave volume threshold value, sending an abnormal monitoring signal for controlling the elevator to stop running.
8. A traction steel belt breakage detection device is characterized by comprising:
the first module is used for acquiring distance data between each point on the surface of the steel strip and the acquisition device;
a second module for obtaining a position of a concave structure of the surface of the steel strip based on the distance data;
a third module for obtaining a volume of the recessed feature based on the recessed feature location and distance data;
a fourth module for performing a corresponding safety operation based on the volume of the recessed structure.
9. A computer apparatus comprising a memory and a processor, the memory storing a computer program, wherein the processor implements the steps of the traction steel belt breakage detection method according to any one of claims 1 to 7 when executing the computer program.
10. A traction steel belt breakage detection system comprises:
the acquisition device is used for acquiring distance data between each point on the surface of the steel strip and the acquisition device;
the monitoring host is connected with the acquisition device and used for receiving the distance data, correspondingly acquiring the damage degree of the traction steel belt and sending a corresponding signal based on the damage degree of the traction steel belt;
the alarm device is connected with the monitoring host and used for receiving signals from the monitoring host and giving an alarm;
and the elevator controller is connected with the monitoring host machine and used for receiving the signal from the monitoring host machine and controlling the elevator to stop running.
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105329732A (en) * | 2015-12-08 | 2016-02-17 | 广东技术师范学院 | Detection device and detection method for composite traction steel belt of elevator |
| CN105839505A (en) * | 2016-03-18 | 2016-08-10 | 交通运输部科学研究院 | Three-dimensional visual detection method and detection device for road surface damage information |
| EP3135621A1 (en) * | 2015-08-31 | 2017-03-01 | Kone Corporation | Method, arrangement and elevator |
| CN209367590U (en) * | 2018-09-14 | 2019-09-10 | 江苏苏奥电梯有限公司 | A kind of hoisting rope for elevator real-time monitoring device |
| CN110243925A (en) * | 2019-06-14 | 2019-09-17 | 杭州市特种设备检测研究院 | Elevator composite steel band defects detection and evaluating apparatus and method |
-
2019
- 2019-12-31 CN CN201911412494.3A patent/CN111559679B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP3135621A1 (en) * | 2015-08-31 | 2017-03-01 | Kone Corporation | Method, arrangement and elevator |
| CN105329732A (en) * | 2015-12-08 | 2016-02-17 | 广东技术师范学院 | Detection device and detection method for composite traction steel belt of elevator |
| CN105839505A (en) * | 2016-03-18 | 2016-08-10 | 交通运输部科学研究院 | Three-dimensional visual detection method and detection device for road surface damage information |
| CN209367590U (en) * | 2018-09-14 | 2019-09-10 | 江苏苏奥电梯有限公司 | A kind of hoisting rope for elevator real-time monitoring device |
| CN110243925A (en) * | 2019-06-14 | 2019-09-17 | 杭州市特种设备检测研究院 | Elevator composite steel band defects detection and evaluating apparatus and method |
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Denomination of invention: Method, device, computer equipment, and system for detecting damage to traction steel belts Granted publication date: 20211029 Pledgee: Zhejiang Commercial Bank Co.,Ltd. Hangzhou Linping Branch Pledgor: HANGZHOU XO-LIFT Co.,Ltd. Registration number: Y2024980001764 |
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