CN113460843A - Intelligent early warning system of escalator - Google Patents
Intelligent early warning system of escalator Download PDFInfo
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- CN113460843A CN113460843A CN202110756955.XA CN202110756955A CN113460843A CN 113460843 A CN113460843 A CN 113460843A CN 202110756955 A CN202110756955 A CN 202110756955A CN 113460843 A CN113460843 A CN 113460843A
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- 238000003745 diagnosis Methods 0.000 claims abstract description 51
- 238000012544 monitoring process Methods 0.000 claims abstract description 49
- 238000011156 evaluation Methods 0.000 claims description 18
- 230000002457 bidirectional effect Effects 0.000 claims description 6
- 238000000034 method Methods 0.000 claims description 6
- 238000012423 maintenance Methods 0.000 abstract description 17
- 230000005540 biological transmission Effects 0.000 abstract description 4
- 230000002349 favourable effect Effects 0.000 abstract description 4
- 230000009286 beneficial effect Effects 0.000 description 5
- 230000006378 damage Effects 0.000 description 3
- 238000005299 abrasion Methods 0.000 description 2
- 239000003638 chemical reducing agent Substances 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 230000001788 irregular Effects 0.000 description 2
- 208000024891 symptom Diseases 0.000 description 2
- 208000027418 Wounds and injury Diseases 0.000 description 1
- 230000002159 abnormal effect Effects 0.000 description 1
- 230000006399 behavior Effects 0.000 description 1
- 201000010099 disease Diseases 0.000 description 1
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 description 1
- 238000009837 dry grinding Methods 0.000 description 1
- 208000014674 injury Diseases 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 239000010687 lubricating oil Substances 0.000 description 1
- 238000005461 lubrication Methods 0.000 description 1
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
- B66B29/00—Safety devices of escalators or moving walkways
- B66B29/005—Applications of security monitors
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
- B66B25/00—Control of escalators or moving walkways
- B66B25/003—Methods or algorithms therefor
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
- B66B25/00—Control of escalators or moving walkways
- B66B25/006—Monitoring for maintenance or repair
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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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Abstract
The invention discloses an escalator intelligent early warning system, which relates to the technical field of escalators, and specifically relates to an escalator body and a diagnosis database, wherein the escalator body is connected with a monitoring emergency stop module through a lead, the escalator body is also connected with a data acquisition module through a lead, a data comparison module is respectively connected with an analysis module and a health assessment module, the diagnosis database is connected with the analysis module, and the health assessment module is connected with an early warning prompt module. This automatic staircase intelligence early warning system, the mechanical waveform of gathering each part of escalator body is compared with all kinds of data of mechanical machinery and with normal data, will be with the relevant part information of this data through early warning suggestion module to the data that the deviation is greater than the standard threshold value, data transmission is to administrator, maintainer department, so that maintain each part of escalator body in advance, be favorable to reducing cost of maintenance, but the part that the accurate location has the problem simultaneously.
Description
Technical Field
The invention relates to the technical field of escalators, in particular to an escalator intelligent early warning system.
Background
The escalator is composed of a chain conveyor with special structure and two belt conveyors with special structure, and has a circulating moving ladder way for transporting passengers upwards or downwards between different floor heights of a building.
The working state of current automatic escalator can't monitor its each part to can't in time take place the early warning to the staff to the unusual part of working state, the mechanical wear that automatic escalator equipment produced in continuous operation has the hidden danger of equipment damage, although the probability is very low, nevertheless in case take place, will cause serious negative effects and the consequence of beyond consideration, and maintain again after automatic escalator breaks down and can promote cost of maintenance, and need get rid of non-trouble part in proper order during the maintenance, it is too hard to waste time.
Disclosure of Invention
The invention provides an escalator intelligent early warning system, which solves the problems that the prior escalator cannot monitor the working state of each part, so that early warning cannot be timely generated on the part with an abnormal working state for workers, equipment damage is hidden due to mechanical abrasion generated by escalator equipment in continuous working, although the probability is low, once the part is generated, serious negative effects and unreasonable results can be caused, the maintenance cost can be increased when the escalator breaks down, non-fault parts need to be removed in sequence during maintenance, and time and labor are wasted.
In order to achieve the purpose, the invention is realized by the following technical scheme: escalator intelligence early warning system, including escalator body and diagnosis database, the escalator body is connected with control emergency stop module through the wire, the escalator body still is connected with data acquisition module through the wire, and data acquisition module is connected with data comparison module, data comparison module is connected with analysis module, health assessment module respectively, the diagnosis database is connected with analysis module, and the diagnosis database is connected with expert's module of diagnosing, health assessment module is connected with early warning suggestion module.
Optionally, the monitoring emergency stop module comprises a monitoring unit, a voice prompt unit, an escalator emergency stop unit, a self-rescue teaching unit and an assistance calling unit, the monitoring unit is connected with the voice prompt unit through a wire, the monitoring unit is further connected with the escalator emergency stop unit through a wire, the escalator emergency stop unit is connected with the assistance calling unit through a wire, and the voice prompt unit is connected with the self-rescue teaching unit through a wire.
Optionally, the monitoring units are real-time monitoring cameras respectively arranged at two ends of the escalator body, and the monitoring units monitor personnel conditions on the escalator body;
the self-rescue teaching unit is a display screen storing a self-rescue method in an audio format when a dangerous case occurs when a user takes the escalator, and is arranged at two ends of the escalator body;
the escalator emergency stop unit is started based on the monitoring unit when the escalator is monitored to be in a dangerous situation, and can automatically stop the escalator body in an emergency;
the voice prompt unit can give out voice prompts to the personnel doing dangerous actions based on the content of the monitoring unit, and can play self-rescue audio in the self-rescue teaching unit when the escalator is in a dangerous case;
the aid calling unit automatically contacts an escalator manager and a fire fighter at the moment of escalator danger.
Optionally, the monitoring unit is electrically connected in parallel with the voice prompt unit, the escalator emergency stop unit and the assistance calling unit.
Optionally, the data acquisition module includes a mechanical waveform acquisition unit and a mechanical state data acquisition unit, and the mechanical waveform acquisition unit, the mechanical state data acquisition unit are connected with the data comparison module, and the mechanical waveform acquisition unit, the mechanical state data acquisition unit and the data comparison module are in wireless connection.
Optionally, the data comparison module includes a waveform comparison unit and a mechanical state data comparison unit, and the waveform comparison unit and the mechanical state data comparison unit are connected to the health assessment module and the analysis module.
Optionally, the waveform comparison unit, the mechanical state data comparison unit and the analysis module are connected in a bidirectional manner, and the analysis module and the diagnostic database are connected in a bidirectional manner.
Optionally, the diagnosis database includes a diagnosed solution unit, a new diagnosis unit, and an analysis and evaluation unit, the diagnosed solution unit is connected to the analysis module, the new diagnosis unit is connected to the expert diagnosis module, and both the diagnosed solution unit and the new diagnosis unit are connected to the analysis and evaluation unit.
Optionally, the diagnosed solution unit and the new diagnosis unit are electrically connected in parallel with the analysis and evaluation unit through a wire, and the analysis and evaluation unit is bidirectionally connected with the expert diagnosis module.
The invention provides an intelligent early warning system for an escalator, which has the following beneficial effects:
1. this automatic staircase intelligent early warning system, the personnel action on the automatic staircase body of monitoring unit control to through the action that voice prompt unit has danger to the unnormal of monitoring, the suggestion personnel let out urgent passageway simultaneously, be favorable to improving personnel's security, thereby improve city etiquette and face and admire.
2. This automatic staircase intelligent early warning system when the monitoring unit monitors the staircase dangerous situation, through the operation of staircase scram unit emergency stop automatic staircase body, avoids personnel to receive the secondary injury, assists call unit call managers and fire fighter simultaneously to carry out quick rescue to the personnel of being involved in danger, can broadcast the method of saving oneself when meetting the dangerous situation through teaching unit of saving oneself and voice prompt unit in addition so that the personnel of being involved in danger reduces the difficulty of rescuing.
3. This escalator intelligence early warning system, mechanical waveform acquisition unit, mechanical state data acquisition unit gathers the mechanical waveform and the all kinds of data of mechanical machinery of each part of escalator body, mechanical waveform is the vibration wave that produces when machinery operates, and through analysis module, the unit is compared to the waveform, mechanical state data compares the unit and compares with the normal data in having diagnosed the solution unit, health assessment module compares to normal data and the real-time data who obtains and makes the aassessment, to the data that the deviation is greater than the standard threshold value, will be relevant part information with this data through early warning suggestion module, data transmission is to the administrator, maintainer department, so that maintain each part of escalator body in advance, be favorable to reducing maintenance cost, but the part that has problems of accurate positioning simultaneously, thereby reduce burden and maintenance time.
4. The escalator intelligent early warning system is characterized in that waveforms and various types of mechanical data which cannot acquire normal data from a diagnosed solution unit are classified to a new diagnosis unit, an expert repair module is a professional in the elevator escalator related technical field, the waveforms and various types of mechanical data accumulated in the new diagnosis unit can be analyzed and answered regularly through the expert repair module, and the correct data are stored in the diagnosed solution unit, so that the escalator intelligent early warning system is beneficial to continuously expanding and updating the data in the diagnosed solution unit, a maintenance scheme is better provided for maintenance personnel, and the maintenance difficulty is reduced.
5. According to the escalator intelligent early warning system, the analysis and evaluation unit is drawing software, and can make the internal data of the diagnosed solution unit and the new diagnosis unit into related charts, so that the expert repair module can conveniently check the mechanical waveform and data of each component of the escalator body, the problem and miscellaneous symptoms in the new diagnosis unit can be better solved by the expert repair module, and meanwhile, the analysis and evaluation report of each component of the escalator body can be obtained.
Drawings
FIG. 1 is a schematic view of the overall flow structure of the present invention;
FIG. 2 is a schematic view of the internal flow of the monitoring emergency stop module according to the present invention;
FIG. 3 is a schematic view of the internal flow of the data acquisition module of the present invention;
FIG. 4 is a schematic diagram of an internal flow of a data comparison module according to the present invention;
FIG. 5 is a schematic diagram of the internal flow of the diagnostic database according to the present invention.
In the figure: 1. an escalator body; 2. a monitoring emergency stop module; 201. a monitoring unit; 202. a voice prompt unit; 203. an escalator emergency stop unit; 204. a self-rescue teaching unit; 205. an assistance calling unit; 3. a data acquisition module; 301. a mechanical waveform acquisition unit; 302. a mechanical state data acquisition unit; 4. a data comparison module; 401. a waveform comparison unit; 402. a mechanical state data comparison unit; 5. an analysis module; 6. a health assessment module; 7. a diagnostic database; 701. a diagnosed resolution unit; 702. a new diagnostic unit; 703. an analysis evaluation unit; 8. an expert diagnosis module; 9. and an early warning prompt module.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments.
In the description of the present invention, "a plurality" means two or more unless otherwise specified; the terms "upper", "lower", "left", "right", "inner", "outer", "front", "rear", "head", "tail", and the like, indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, are only for convenience in describing and simplifying the description, and do not indicate or imply that the device or element referred to must have a particular orientation, be constructed in a particular orientation, and be operated, and thus, should not be construed as limiting the invention. Furthermore, the terms "first," "second," "third," and the like are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
In the description of the present invention, it is to be noted that, unless otherwise explicitly specified or limited, the terms "connected" and "connected" are to be interpreted broadly, e.g., as being fixed or detachable or integrally connected; can be mechanically or electrically connected; may be directly connected or indirectly connected through an intermediate. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
Referring to fig. 1 to 5, the present invention provides a technical solution: an escalator intelligent early warning system comprises an escalator body 1 and a diagnosis database 7, wherein the escalator body 1 is connected with a monitoring emergency stop module 2 through a conducting wire, the monitoring emergency stop module 2 comprises a monitoring unit 201, a voice prompt unit 202, an escalator emergency stop unit 203, a self-rescue teaching unit 204 and an assistance calling unit 205, the monitoring unit 201 is connected with the voice prompt unit 202 through the conducting wire, the monitoring unit 201 is further connected with the escalator emergency stop unit 203 through the conducting wire, the escalator emergency stop unit 203 is connected with the assistance calling unit 205 through the conducting wire, the voice prompt unit 202 is connected with the self-rescue teaching unit 204 through the conducting wire, the monitoring units 201 are real-time monitoring cameras respectively arranged at two ends of the escalator body 1, and the monitoring unit 201 monitors personnel conditions on the escalator body 1;
the self-rescue teaching unit 204 is a display screen which stores a self-rescue method in an audio format when a dangerous case occurs when the escalator is taken, and the self-rescue teaching unit 204 is arranged at two ends of the escalator body 1;
the escalator emergency stop unit 203 is started based on the monitoring unit 201 when the escalator is monitored to be in a dangerous situation, and can automatically stop the escalator body 1 in an emergency;
the voice prompt unit 202 can send out voice prompts to the personnel doing dangerous actions based on the content of the monitoring unit 201, and the voice prompt unit 202 can play self-rescue audio in the self-rescue teaching unit 204 when the escalator is in a dangerous situation;
the escalator emergency rescue calling unit 205 automatically contacts an escalator manager and a fire fighter at the moment of an escalator emergency, the monitoring unit 201 is electrically connected with the voice prompting unit 202, the escalator emergency stopping unit 203 and the escalator emergency calling unit 205 in parallel, the monitoring unit 201 monitors the actions of the people on the escalator body 1, prompts the monitored irregular dangerous actions through the voice prompting unit 202, and prompts the people to leave an emergency channel, so that the safety of the people is improved, the urban amenity and the appearance are improved, when the monitoring unit 201 monitors the escalator emergency, the escalator emergency stopping unit 203 emergently stops the operation of the escalator body 1 to prevent the people from being injured secondarily, meanwhile, the escalator emergency calling unit 205 calls the manager and the fire fighter to rescue the people quickly, and a self-rescue method for rescuing the people when the emergency happens can be played through the self-rescue teaching unit 204 and the voice prompting unit 202 to rescue the people, so that the rescue difficulty of the personnel involved in the danger is reduced;
the escalator body 1 is also connected with a data acquisition module 3 through a lead, the data acquisition module 3 is connected with a data comparison module 4, the data comparison module 4 is respectively connected with an analysis module 5 and a health assessment module 6, the data acquisition module 3 comprises a mechanical waveform acquisition unit 301 and a mechanical state data acquisition unit 302, the mechanical waveform acquisition unit 301 and the mechanical state data acquisition unit 302 are connected with the data comparison module 4, the mechanical waveform acquisition unit 301, the mechanical state data acquisition unit 302 and the data comparison module 4 are in wireless connection, the data comparison module 4 comprises a waveform comparison unit 401 and a mechanical state data comparison unit 402, the waveform comparison unit 401 and the mechanical state data comparison unit 402 are connected with the health assessment module 6 and the analysis module 5, the waveform comparison unit 401, the mechanical state data comparison unit 402 and the analysis module 5 are in bidirectional connection, the analysis module 5 is connected with the diagnosis database 7 in a bidirectional way, the mechanical waveform acquisition unit 301 and the mechanical state data acquisition unit 302 respectively acquire vibration waveform data and various mechanical data of the escalator body 1 during operation and transmit the data to the waveform comparison unit 401 and the mechanical state data comparison unit 402, the waveform comparison unit 401 and the mechanical state data comparison unit 402 search corresponding consistent or data with similar values in the diagnosis database 7 through the analysis module 5, at the moment, normal vibration waveform data and various mechanical data of the escalator body 1 during operation are also obtained, the data obtained in real time are compared with normal data through the waveform comparison unit 401 and the mechanical state data comparison unit 402, and meanwhile, the health evaluation module 6 evaluates the normal data and the obtained real-time data through comparison, to the data that the deviation is greater than the standard threshold value, will be with this data relevant part information through early warning suggestion module 9, data send to the administrator, maintenance personal department, send to operation personnel cell-phone WeChat or postbox through wired or wireless network transmission promptly, in time remind the operation personnel to maintain and maintain, ensure automatic escalator equipment safe operation, also can convey to BAS system to wisdom fortune pipe platform through the ethernet, realize the remote monitoring management, so that maintain 1 each part of automatic escalator body in advance, be favorable to reducing cost of maintenance, simultaneously can accurate location problematic part, thereby reduce burden and maintenance duration, all kinds of data of machinery are mainly monitored transmission by various sensors, including vibration sensor: the monitoring motor, the driving main wheel, the tension wheel and other shaft bushing abrasion, dynamic unbalance, poor meshing of the reducer gear and the noise sensor are as follows: monitoring friction generated by dry grinding or unbalanced chain installation due to lack of lubricating oil of a driving main chain and a step chain, and a step chain extension sensor: monitoring the running and stretching extension of the step chain to prevent the chain dropping accident, wherein the infrared temperature sensor comprises: handrail area temperature variation, speed reducer lubrication oil temperature about monitoring, current sensor: monitoring the running state of the motor;
the diagnosis database 7 is connected with the analysis module 5, the diagnosis database 7 is connected with the expert diagnosis module 8, the health assessment module 6 is connected with the early warning prompt module 9, the diagnosis database 7 comprises a diagnosed solution unit 701, a new diagnosis unit 702 and an analysis assessment unit 703, the diagnosed solution unit 701 is connected with the analysis module 5, the new diagnosis unit 702 is connected with the expert diagnosis module 8, the diagnosed solution unit 701 and the new diagnosis unit 702 are connected with the analysis assessment unit 703, the diagnosed solution unit 701 and the new diagnosis unit 702 are electrically connected in parallel with the analysis assessment unit 703 through conducting wires, the analysis assessment unit 703 is bidirectionally connected with the expert diagnosis module 8, normal waveform and mechanical data which cannot be obtained from the diagnosed solution unit 701 are classified into the new diagnosis unit 702, the expert diagnosis module 8 and the new diagnosis unit 702, An expert channel is formed between the analysis and evaluation units 703, the expert service module 8 is a professional in the technical field related to the escalator, the expert repairing module 8 can analyze and answer the waveform and various mechanical data accumulated in the new diagnosis unit 702 regularly and store the data which is solved without errors into the diagnosed solution unit 701, which is beneficial to continuously expanding and updating the data in the diagnosed solution unit 701 so as to provide a maintenance scheme for maintenance personnel better and reduce the maintenance difficulty, the analysis and evaluation unit 703 is drawing software, which can make the internal data of the diagnosed solution unit 701 and the new diagnosis unit 702 into related charts, so as to facilitate the expert diagnostic module 8 to check the mechanical waveforms and data of all the parts of the escalator body 1, thereby being beneficial to the expert to repair the module 8 and better solving the difficult and complicated symptoms in the new diagnosis unit 702, and simultaneously being beneficial to obtaining the analysis and evaluation report of each part of the escalator body 1.
In summary, when the escalator intelligent early warning system is used, firstly, the monitoring unit 201 monitors the actions of people on the escalator body 1, the voice prompt unit 202 prompts the monitored irregular dangerous behaviors and prompts the people to leave an emergency channel, then when the monitoring unit 201 monitors an escalator dangerous situation, the escalator emergency stop unit 203 emergently stops the operation of the escalator body 1 to prevent the people from being injured secondarily, meanwhile, the help call unit 205 calls a manager and a firefighter to rapidly rescue the people involved in the dangerous situation, the self-rescue teaching unit 204 and the voice prompt unit 202 can play a self-rescue method when the people involved in the dangerous situation to rescue the people so as to reduce the rescue difficulty of the people involved in the dangerous situation, and when the escalator body 1 operates, the mechanical waveform acquisition unit 301 and the mechanical state data acquisition unit 302 respectively acquire vibration waveform data and various mechanical types of mechanical parts of the escalator body 1 during operation Data are transmitted to a waveform comparison unit 401 and a mechanical state data comparison unit 402, the waveform comparison unit 401 and the mechanical state data comparison unit 402 search corresponding consistent or data with similar values in a diagnosed solution unit 701 through an analysis module 5, at the moment, normal vibration waveform data and various types of mechanical data of all mechanical parts of the escalator body 1 during operation are obtained, the data obtained in real time are compared with normal data through the waveform comparison unit 401 and the mechanical state data comparison unit 402, meanwhile, a health evaluation module 6 evaluates the normal data and the obtained real-time data, and for the data with the deviation larger than a standard threshold value, part information and data related to the data are sent to a manager and a maintenance person through an early warning prompting module 9 so as to maintain all the parts of the escalator body 1 in advance, then, the waveforms and various types of mechanical data which cannot be obtained from the diagnosed solution unit 701 are classified into the new diagnosis unit 702, the expert repair module 8 is a professional in the related technical field of the escalator, the waveforms and various types of mechanical data accumulated in the new diagnosis unit 702 can be analyzed and answered regularly through the expert repair module 8, and the data which is solved correctly is stored in the diagnosed solution unit 701, so that the continuous expansion and updating of the data in the diagnosed solution unit 701 are facilitated, and finally, the analysis and evaluation unit 703 can make the data in the diagnosed solution unit 701 and the new diagnosis unit 702 into related charts, so that the expert repair module 8 can check the mechanical waveforms and data of all parts of the escalator body 1 conveniently, and the expert repair module 8 can better solve the difficult and complicated diseases in the new diagnosis unit 702.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be able to cover the technical scope of the present invention and the equivalent alternatives or modifications according to the technical solution and the inventive concept of the present invention within the technical scope of the present invention.
Claims (9)
1. Escalator intelligent early warning system, including escalator body (1) and diagnosis database (7), its characterized in that: the escalator is characterized in that the escalator body (1) is connected with a monitoring emergency stop module (2) through a lead, the escalator body (1) is further connected with a data acquisition module (3) through the lead, the data acquisition module (3) is connected with a data comparison module (4), the data comparison module (4) is respectively connected with an analysis module (5) and a health assessment module (6), a diagnosis database (7) is connected with the analysis module (5), the diagnosis database (7) is connected with an expert repair module (8), and the health assessment module (6) is connected with an early warning prompt module (9).
2. The escalator intelligent early warning system according to claim 1, characterized in that: the monitoring emergency stop module (2) comprises a monitoring unit (201), a voice prompt unit (202), an escalator emergency stop unit (203), a self-rescue teaching unit (204) and a self-rescue calling unit (205), the monitoring unit (201) is connected with the voice prompt unit (202) through a wire, the monitoring unit (201) is further connected with the escalator emergency stop unit (203) through a wire, the escalator emergency stop unit (203) is connected with the self-rescue teaching unit (204) through a wire, and the voice prompt unit (202) is connected with the self-rescue teaching unit (204) through a wire.
3. The escalator intelligent early warning system according to claim 2, characterized in that: the monitoring units (201) are real-time monitoring cameras respectively arranged at two ends of the escalator body (1), and the monitoring units (201) monitor personnel conditions on the escalator body (1);
the self-rescue teaching unit (204) is a display screen for storing a self-rescue method when a dangerous case occurs when a user takes an escalator in an audio format, and the self-rescue teaching unit (204) is arranged at two ends of the escalator body (1);
the escalator emergency stop unit (203) is started based on the monitoring unit (201) when the escalator is monitored to be in a dangerous situation, and can automatically stop the escalator body (1) in an emergency;
the voice prompt unit (202) can send out voice prompts to the personnel doing dangerous actions based on the content of the monitoring unit (201), and the voice prompt unit (202) can play self-rescue audio in the self-rescue teaching unit (204) when the escalator is in a dangerous situation;
the aid call unit (205) automatically contacts an escalator supervisor with a firefighter at an escalator emergency time.
4. The escalator intelligent early warning system according to claim 2, characterized in that: the monitoring unit (201) is electrically connected with the voice prompt unit (202), the escalator emergency stop unit (203) and the assistance calling unit (205) in parallel.
5. The escalator intelligent early warning system according to claim 1, characterized in that: the data acquisition module (3) comprises a mechanical waveform acquisition unit (301) and a mechanical state data acquisition unit (302), the mechanical waveform acquisition unit (301) and the mechanical state data acquisition unit (302) are connected with the data comparison module (4), and the mechanical waveform acquisition unit (301), the mechanical state data acquisition unit (302) and the data comparison module (4) are in wireless connection.
6. The escalator intelligent early warning system according to claim 1, characterized in that: the data comparison module (4) comprises a waveform comparison unit (401) and a mechanical state data comparison unit (402), and the waveform comparison unit (401) and the mechanical state data comparison unit (402) are connected with the health evaluation module (6) and the analysis module (5).
7. The escalator intelligent early warning system according to claim 6, characterized in that: the waveform comparison unit (401), the mechanical state data comparison unit (402) and the analysis module (5) are in bidirectional connection, and the analysis module (5) and the diagnosis database (7) are in bidirectional connection.
8. The escalator intelligent early warning system according to claim 1, characterized in that: the diagnosis database (7) comprises a diagnosed solution unit (701), a new diagnosis unit (702) and an analysis and evaluation unit (703), the diagnosed solution unit (701) is connected with the analysis module (5), the new diagnosis unit (702) is connected with the expert diagnosis module (8), and the diagnosed solution unit (701) and the new diagnosis unit (702) are both connected with the analysis and evaluation unit (703).
9. The escalator intelligent early warning system according to claim 8, characterized in that: the diagnosed solution unit (701) and the new diagnosis unit (702) are electrically connected in parallel with the analysis and evaluation unit (703) through leads, and the analysis and evaluation unit (703) is bidirectionally connected with the expert diagnosis module (8).
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CN110294397A (en) * | 2018-07-05 | 2019-10-01 | 江苏瑞奇海力科技有限公司 | A kind of staircase passenger safety prior-warning device and method |
CN110937489A (en) * | 2019-11-15 | 2020-03-31 | 广东寰球智能科技有限公司 | Online fault monitoring and early warning method and system for escalator |
CN111924694A (en) * | 2020-10-12 | 2020-11-13 | 南京安诺电梯有限公司 | Escalator vibration signal detection and transmission system |
CN112561280A (en) * | 2020-12-09 | 2021-03-26 | 中铁第四勘察设计院集团有限公司 | Equipment fault prediction method based on self-learning convergence fault knowledge base and application thereof |
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