CN115724314A - Elevator fault detection early warning system and method - Google Patents
Elevator fault detection early warning system and method Download PDFInfo
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- CN115724314A CN115724314A CN202211686375.9A CN202211686375A CN115724314A CN 115724314 A CN115724314 A CN 115724314A CN 202211686375 A CN202211686375 A CN 202211686375A CN 115724314 A CN115724314 A CN 115724314A
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Abstract
The invention relates to an elevator fault detection early warning system and a method, wherein the system comprises: a data detection module: the detection data set is processed to obtain an effective detection data set; a data analysis module: the system is used for analyzing the effective detection data set and acquiring a fault prediction result based on the fault database; a remote diagnosis module: diagnosing elevator faults, judging whether the faults meet early warning conditions or not, if so, triggering a fault early warning module, and if not, sending a maintenance instruction to a maintenance management module; a fault early warning module: the system is used for carrying out fault early warning; a maintenance management module: and the elevator maintenance management system is used for performing maintenance management on the elevator according to the maintenance instruction. The elevator fault detection early warning system has high universality and wide popularity, the elevator cloud management platform is unified, simple and convenient, the management efficiency and the service quality of a maintenance unit can be improved, the elevator taking safety is ensured, passengers are relieved, and the management cost can be reduced.
Description
Technical Field
The invention relates to the technical field of elevator measurement and control, in particular to an elevator fault detection early warning system and method.
Background
With the development of economy and the growth of population, high-rise buildings in modern cities are more and more, and elevators are more and more popularized in life and work of people. With the increasing of elevators, the occurrence rate of elevator faults is increasing year by year, so that the operation safety of the elevators is also receiving more and more attention. In order to ensure the safe operation of the elevator, on one hand, the manufacturing and installation quality of the elevator is required, and on the other hand, the maintenance work which is timely and efficient in the operation process is required to be the most important. Besides periodic maintenance, the maintenance is to find and remove the elevator fault in time.
In the face of a huge number of elevator supervision tasks, the traditional elevator supervision has defects in the aspects of early warning, prevention, quick response and the like, and in addition, common people tend to the life of a beautiful city, under the new situation, the elevator fault prediction mode is explored, and the new elevator fault prediction mode is very necessary to be excavated. And because elevator car is heavier, when carrying out high low layer operation, can take place various trouble, lead to the unable normal operating of elevator, even have the risk of injuring people's life safety, so need carry out the trouble early warning to the elevator to reach the purpose of troubleshooting in advance, however current trouble early warning mode relies on the comparatively abundant maintenance personal of experience to carry out artifical troubleshooting early warning, and this kind of early warning mode causes inefficiency, and the early warning is comprehensive inadequately moreover, causes the potential safety hazard easily and piles up.
Therefore, the invention provides an elevator fault detection early warning system and method.
Disclosure of Invention
The invention aims to provide an elevator fault detection early warning system and method to solve the problems of untimely supervision, incomplete early warning, long detection time and the like,
in order to achieve the purpose, the invention provides the following scheme:
an elevator fault detection and early warning system comprising:
a data detection module: the elevator detection system is used for acquiring a detection data set corresponding to the elevator based on detection equipment, and processing the detection data set to obtain an effective detection data set;
a data analysis module: the system is used for analyzing the effective detection data set and acquiring a fault prediction result based on a fault database;
a remote diagnosis module: the elevator fault prediction module is used for diagnosing the elevator fault according to the fault prediction result and judging whether the fault meets an early warning condition or not, if so, the fault early warning module is triggered, and if not, a maintenance instruction is sent to the maintenance management module;
a fault early warning module: the system is used for carrying out fault early warning;
a maintenance management module: and the elevator is maintained and managed according to the maintenance instruction.
Preferably, the data detection module comprises:
a data acquisition unit: the elevator detection device is used for acquiring detection data corresponding to the elevator through detection equipment arranged on the elevator;
a data processing unit: and the effective detection data set is obtained by determining a corresponding truncation structure for the data type in the detection data and performing truncation processing through the truncation structure.
Preferably, the detection apparatus comprises:
gravity sensing device: for detecting the presence of a person in the elevator car;
humidity sensing means: for detecting a moisture level within the elevator car;
acceleration sensing means: for detecting an acceleration at which the elevator is operating;
a voltage current sensing device; the current and the voltage are used for detecting the current and the voltage when the elevator runs;
leveling detection device: the elevator car stopping detection device is used for detecting whether the elevator car stops at a flat floor or not when the elevator car stops;
door opening detection device: for detecting the open and close state of the elevator door.
Preferably, gravity sensing device includes personnel's detection piece, personnel's detection piece is located inside the elevator car, personnel's detection piece is infrared detection instrument or radar detection instrument.
Preferably, the leveling detection device comprises a leveling detection piece, the leveling detection piece is arranged outside the elevator car, and the leveling detection piece is connected with the data processing unit; when the elevator stops and the lift car is leveled, the sensing end of the leveling detection piece points to the door frame of the elevator door; when the elevator stops and the car is not flat, the sensing end of the flat detection piece points to the wall of the elevator shaft.
Preferably, the data analysis module comprises:
a fault database: the system is used for storing all fault types of the elevator, recording corresponding fault time and fault duration when the elevator breaks down, and comparing the fault time and the fault duration with the effective detection data set to obtain a comparison result;
a failure prediction unit: and the system is used for predicting the fault of the elevator according to the comparison result to obtain the fault prediction result.
Preferably, the remote diagnosis module includes:
a receiving unit: for receiving the failure prediction result;
a diagnosis unit: and the fault early warning module is triggered if the fault meets the early warning condition, and a maintenance instruction is sent to the maintenance management module if the fault does not meet the early warning condition.
Preferably, the fault pre-warning condition includes:
inputting the fault judgment into a fault prediction neural network, obtaining a fault occurrence probability and corresponding fault occurrence remaining time, taking the fault occurrence probability and the fault occurrence remaining time as fault early warning conditions, and triggering the fault early warning module if the fault occurrence probability and the fault occurrence remaining time exceed preset thresholds.
Preferably, the fault early warning module buzzes an alarm and an LED warning lamp, and the buzzing alarm and the LED warning lamp are respectively connected with the diagnosis unit.
In order to achieve the above object, the present invention further provides an elevator fault detection and early warning method, which comprises:
acquiring a detection data set corresponding to the elevator based on detection equipment, and processing the detection data set to obtain an effective detection data set;
analyzing the effective detection data set through a data analysis module, and acquiring a fault prediction result based on a fault database;
the elevator fault is diagnosed based on the remote diagnosis module, whether the fault meets the early warning condition or not is judged, if yes, the fault early warning module is triggered to give an alarm, and if not, a maintenance instruction is sent to the maintenance management module to timely maintain the elevator.
The invention has the beneficial effects that:
(1) According to the invention, effective detection data useful for fault prediction is obtained, a data basis is provided for generating a fault prediction model, and the acquired information data is compared with data in a database in real time, so that whether each numerical value is normal when the elevator runs is accurately judged, and the effect of fault early warning is achieved;
(2) The elevator fault detection early warning system has high universality and wide popularity, the elevator cloud management platform is unified, simple and convenient, the management efficiency and the service quality of a maintenance unit can be improved, the elevator taking safety is ensured, passengers are relieved, and the management cost can be reduced.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to these drawings without creative efforts.
Fig. 1 is a schematic structural diagram of an elevator fault detection early warning system according to an embodiment of the present invention;
fig. 2 is a flow chart of an elevator fault detection early warning method according to an embodiment of the present invention.
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. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In order to make the aforementioned objects, features and advantages of the present invention more comprehensible, the present invention is described in detail with reference to the accompanying drawings and the detailed description thereof.
An elevator fault detection early warning system, as shown in fig. 1, comprises:
a data detection module: the elevator detection system is used for acquiring a detection data set corresponding to the elevator based on detection equipment, and processing the detection data set to obtain an effective detection data set;
a data analysis module: the fault prediction module is used for analyzing the effective detection data set and acquiring a fault prediction result based on a fault database;
a remote diagnosis module: the elevator fault prediction module is used for diagnosing the elevator fault according to the fault prediction result and judging whether the fault meets an early warning condition or not, if so, the fault early warning module is triggered, and if not, a maintenance instruction is sent to the maintenance management module;
a fault early warning module: the system is used for carrying out fault early warning;
a maintenance management module: and the elevator is maintained and managed according to the maintenance instruction.
Preferably, the data detection module comprises:
a data acquisition unit: the system comprises a detection device, a data acquisition module and a data processing module, wherein the detection device is used for acquiring detection data corresponding to an elevator through the detection device arranged on the elevator;
a data processing unit: and the effective detection data set is obtained by determining a corresponding truncation structure for the data type in the detection data and performing truncation processing through the truncation structure.
The detection device includes:
gravity sensing device: for detecting the presence of a person in the elevator car;
humidity sensing means: for detecting a moisture level within the elevator car;
acceleration sensing means: for detecting an acceleration at which the elevator is operating;
a voltage current sensing device; the current and the voltage are used for detecting the current and the voltage when the elevator runs;
leveling detection device: the elevator car stopping detection device is used for detecting whether the elevator car stops at a flat floor or not when the elevator car stops;
door opening detection device: for detecting the open/close state of the elevator door.
According to the further optimization scheme, the gravity sensing device comprises a personnel detection piece, the personnel detection piece is arranged inside the elevator car, and the personnel detection piece is an infrared detector or a radar detector.
The leveling detection device comprises a leveling detection piece, the leveling detection piece is arranged outside the elevator car, and the leveling detection piece is connected with the data processing unit; when the elevator stops and the lift car is leveled, the sensing end of the leveling detection piece points to the door frame of the elevator door; when the elevator stops and the lift car is not flat, the sensing end of the flat detection piece points to the wall of the elevator shaft.
In a further optimization scheme, the data analysis module comprises:
a fault database: the system is used for storing all fault types of the elevator, recording corresponding fault time and fault duration when the elevator breaks down, and comparing the fault time and the fault duration with the effective detection data set to obtain a comparison result;
a failure prediction unit: and the system is used for predicting the fault of the elevator according to the comparison result to obtain the fault prediction result.
The remote diagnosis module includes:
a receiving unit: for receiving the failure prediction result;
a diagnosis unit: and the fault early warning module is triggered if the fault meets early warning conditions, and a maintenance instruction is sent to the maintenance management module if the fault early warning conditions do not meet the early warning conditions.
Further optimizing the scheme, the fault early warning condition comprises:
inputting the fault judgment into a fault prediction neural network, obtaining a fault occurrence probability and corresponding fault occurrence remaining time, taking the fault occurrence probability and the fault occurrence remaining time as fault early warning conditions, and triggering the fault early warning module if the fault occurrence probability exceeds 50% of a preset probability and the fault occurrence remaining time exceeds 50% of the preset remaining time.
The fault early warning module buzzes an alarm and an LED warning lamp, and the buzzing alarm and the LED warning lamp are respectively connected with the diagnosis unit.
The invention also collects information data of the weight of the lift car through the gravity sensor, when a passenger enters the lift car, the weight sensor can detect the weight of the lift car and transmit the weight information data to the data analysis module through the communication module, the data analysis module transmits the information data to the failure prediction unit, the failure prediction unit is compared with the weight data in the database and transmits a comparison result to the remote diagnosis module, when the comparison data is higher than the weight data, the remote diagnosis module controls the failure early warning module to work, the warning lamp of the LED warning lamp is lightened, the buzzing alarm gives out an alarm sound, and meanwhile, the remote diagnosis module transmits overweight information to the maintenance management module to prompt the maintenance personnel to give out weight failure information.
The door opening and closing detection piece is a photoelectric sensor, and a photoelectric signal of the door opening and closing detection piece is a door opening and closing detection signal. The detection end of the door opening and closing detection piece continuously transmits a door opening and closing detection signal to the door closing position of the car door. When the car door 1 is opened, the car door does not block the door opening and closing detection signal any more, so that the door opening and closing detection signal of the door opening and closing detection piece is changed, and the door opening and closing detection signal at this time is fed back to the signal processing module; when the car door is closed, the car door blocks the door opening and closing detection signal again, the door opening and closing detection signal of the door opening and closing detection piece changes again, and the door opening and closing detection signal at this time is fed back to the data analysis module; when the car door can not be opened and closed, the door opening and closing detection signal of the door opening and closing detection piece can not be changed within the set time, and the door opening and closing detection signal at this time is fed back to the data analysis module.
The invention also provides an elevator fault detection and early warning method, as shown in fig. 2, comprising the following steps:
acquiring a detection data set corresponding to the elevator based on detection equipment, and processing the detection data set to obtain an effective detection data set;
analyzing the effective detection data set through a data analysis module, and acquiring a fault prediction result based on a fault database;
the elevator fault is diagnosed based on the remote diagnosis module, whether the fault meets the early warning condition or not is judged, if yes, the fault early warning module is triggered to give an alarm, and if not, a maintenance instruction is sent to the maintenance management module to timely maintain the elevator.
According to the invention, effective detection data useful for fault prediction is obtained, a data basis is provided for generating a fault prediction model, and the acquired information data is compared with data in a database in real time, so that whether each numerical value is normal when the elevator runs is accurately judged, and the effect of fault early warning is achieved; the elevator fault detection early warning system has high universality and wide popularity, the elevator cloud management platform is unified, simple and convenient, the management efficiency and the service quality of a maintenance unit can be improved, the elevator taking safety is ensured, passengers are relieved, and the management cost can be reduced.
The above-described embodiments are merely illustrative of the preferred embodiments of the present invention, and do not limit the scope of the present invention, and various modifications and improvements of the technical solutions of the present invention can be made by those skilled in the art without departing from the spirit of the present invention, and the technical solutions of the present invention are within the scope of the present invention defined by the claims.
Claims (10)
1. An elevator fault detection early warning system, characterized by, includes:
a data detection module: the elevator detection system is used for acquiring a detection data set corresponding to the elevator based on detection equipment, and processing the detection data set to obtain an effective detection data set;
a data analysis module: the system is used for analyzing the effective detection data set and acquiring a fault prediction result based on a fault database;
a remote diagnosis module: the elevator fault prediction module is used for diagnosing the elevator fault according to the fault prediction result and judging whether the fault meets an early warning condition or not, if so, the fault early warning module is triggered, and if not, a maintenance instruction is sent to the maintenance management module;
a fault early warning module: the system is used for carrying out fault early warning;
a maintenance management module: and the elevator is maintained and managed according to the maintenance instruction.
2. The elevator fault detection and pre-warning system of claim 1, wherein the data detection module comprises:
a data acquisition unit: the system comprises a detection device, a data acquisition module and a data processing module, wherein the detection device is used for acquiring detection data corresponding to an elevator through the detection device arranged on the elevator;
a data processing unit: and the effective detection data set is obtained by determining a corresponding truncation structure for the data type in the detection data and performing truncation processing through the truncation structure.
3. The elevator fault detection warning system of claim 2, wherein the detection device comprises:
gravity sensing device: for detecting the presence of a person in the elevator car;
humidity sensing means: for detecting a moisture level within the elevator car;
acceleration sensing means: for detecting an acceleration at which the elevator is operating;
a voltage current sensing device; the current and the voltage are used for detecting the current and the voltage when the elevator runs;
leveling detection device: the elevator car stopping detection device is used for detecting whether the elevator car stops at a flat floor or not when the elevator car stops;
door opening detection device: for detecting the open/close state of the elevator door.
4. The elevator fault detection and early warning system according to claim 3, wherein the gravity sensing device comprises a personnel detection part, the personnel detection part is arranged inside the elevator car, and the personnel detection part is an infrared detector or a radar detector.
5. The elevator fault detection and early warning system according to claim 4, wherein the leveling detection device comprises a leveling detection piece, the leveling detection piece is arranged outside the elevator car, and the leveling detection piece is connected with the data processing unit; when the elevator stops and the lift car is leveled, the sensing end of the leveling detection piece points to the door frame of the elevator door; when the elevator stops and the car is not flat, the sensing end of the flat detection piece points to the wall of the elevator shaft.
6. The elevator fault detection and warning system of claim 1, wherein the data analysis module comprises:
a fault database: the system is used for storing all fault types of the elevator, recording the corresponding fault time and fault duration when the elevator breaks down, and comparing the fault time and the fault duration with the effective detection data set to obtain a comparison result;
a failure prediction unit: and the system is used for predicting the fault of the elevator according to the comparison result to obtain the fault prediction result.
7. The elevator fault detection and warning system of claim 1, wherein the remote diagnostic module comprises:
a receiving unit: for receiving the failure prediction result;
a diagnosis unit: and the fault early warning module is triggered if the fault meets the early warning condition, and a maintenance instruction is sent to the maintenance management module if the fault does not meet the early warning condition.
8. The elevator fault detection warning system of claim 7, wherein the fault warning condition comprises:
inputting the fault judgment into a fault prediction neural network, obtaining the fault occurrence probability and the corresponding fault occurrence remaining time, taking the fault occurrence probability and the fault occurrence remaining time as the fault early warning conditions, and triggering the fault early warning module if the fault occurrence probability and the fault occurrence remaining time exceed preset thresholds.
9. The elevator fault detection and early warning system according to claim 8, wherein the fault early warning module buzzes an alarm and an LED warning lamp, and the buzzing alarm and the LED warning lamp are respectively connected with the diagnosis unit.
10. An elevator fault detection early warning method is characterized by comprising the following steps:
acquiring a detection data set corresponding to the elevator based on detection equipment, and processing the detection data set to obtain an effective detection data set;
analyzing the effective detection data set through a data analysis module, and acquiring a fault prediction result based on a fault database;
the elevator fault is diagnosed based on the remote diagnosis module, whether the fault meets the early warning condition or not is judged, if yes, the fault early warning module is triggered to give an alarm, and if not, a maintenance instruction is sent to the maintenance management module to timely maintain the elevator.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114408694A (en) * | 2022-03-04 | 2022-04-29 | 深圳市爱丰达盛科技有限公司 | Elevator fault prediction system and prediction method thereof |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114408694A (en) * | 2022-03-04 | 2022-04-29 | 深圳市爱丰达盛科技有限公司 | Elevator fault prediction system and prediction method thereof |
| CN114408694B (en) * | 2022-03-04 | 2023-06-23 | 深圳市爱丰达盛科技有限公司 | Elevator fault prediction system and prediction method thereof |
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