CN115724314A - Elevator fault detection early warning system and method - Google Patents

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

An elevator fault detection and early warning system and method

technical field

The invention relates to the technical field of elevator measurement and control, in particular to an elevator fault detection and early warning system and method.

Background technique

With the development of the economy and the growth of the population, there are more and more high-rise buildings in modern cities, and elevators are becoming more and more popular in people's lives and work. With the continuous increase of elevators, the incidence of elevator failures is increasing year by year, so the operation safety of elevators is getting more and more attention. In order to ensure the safe operation of the elevator, on the one hand, it depends on the manufacturing and installation quality of the elevator itself, and on the other hand, the most important thing is to rely on timely and efficient maintenance during operation. Maintenance In addition to periodic maintenance, there is also the need to find out and eliminate in time when the elevator breaks down.

Faced with a huge number of elevator supervision tasks, the traditional elevator supervision has deficiencies in early warning, prevention, rapid response, etc., coupled with the people's yearning for a better city life, under this new situation, the elevator fault prediction method is explored and excavated. A new elevator failure prediction method is necessary. And because the elevator car is heavy, various failures may occur during high and low floor operation, resulting in the elevator not operating normally, and even the risk of harming people's life safety, so it is necessary to carry out fault warning on the elevator to achieve early troubleshooting However, most of the existing fault early warning methods rely on experienced maintenance personnel to perform manual troubleshooting and early warning. This early warning method results in low efficiency, and the early warning is not comprehensive enough, which is likely to cause accumulation of safety hazards.

Therefore, the present invention provides an elevator fault detection and early warning system and method.

Contents of the invention

The purpose of the present invention is to provide an elevator fault detection and early warning system and method to solve the problems of untimely supervision, incomplete early warning, and long detection time.

To achieve the above object, the present invention provides the following scheme:

An elevator fault detection and early warning system, comprising:

Data detection module: used for obtaining the detection data set corresponding to the elevator based on the detection equipment, processing the detection data set, and obtaining an effective detection data set;

Data analysis module: used to analyze the effective detection data set, and obtain fault prediction results based on the fault database;

Remote diagnosis module: used for diagnosing the elevator fault based on the fault prediction result, and judging whether the fault satisfies the early warning condition, if so, triggering the fault early warning module, and if not, sending a maintenance instruction to the maintenance management module;

Fault warning module: used for fault warning;

Maintenance management module: used for performing maintenance management on the elevator according to the maintenance instruction.

Preferably, the data detection module includes:

Data acquisition unit: used to acquire the detection data corresponding to the elevator through the detection equipment arranged on the elevator;

A data processing unit: used to determine a corresponding truncated structure for the data type in the detected data, perform truncated processing through the truncated structure, and obtain the effective detected data set.

Preferably, the detection equipment includes:

Gravity sensing device: used to detect whether there is a person in the elevator car;

Humidity sensing device: used to detect the humidity in the elevator car;

Acceleration sensing device: used to detect the acceleration when the elevator is running;

Voltage and current sensing device; used to detect the current and voltage when the elevator is running;

Leveling detection device: used to detect whether the elevator car is leveling when it stops;

Door opening detection device: used to detect the opening and closing state of the elevator door.

Preferably, the gravity sensing device includes a personnel detection device, the personnel detection device is arranged inside the elevator car, and the personnel detection device is an infrared detector or a radar detector.

Preferably, the leveling detection device includes a leveling detection part, the leveling detection part is arranged outside the elevator car, and the leveling detection part is connected with the data processing unit; the elevator stops and the car When the car is leveling, the sensing end of the leveling detection part points to the door frame of the elevator door; when the elevator stops and the car is not leveling, the sensing end of the leveling detection part points to the wall of the elevator shaft.

Preferably, the data analysis module includes:

Failure database: used to store all failure types of the elevator, and record the corresponding failure time and failure duration when the elevator fails, and compare it with the effective detection data set to obtain the comparison result;

A fault prediction unit: used to predict the fault of the elevator based on the comparison result, and obtain the fault prediction result.

Preferably, the remote diagnosis module includes:

A receiving unit: used to receive the fault prediction result;

Diagnosis unit: used for fault judgment according to the fault prediction result and the effective detection data set, if the fault satisfies the pre-warning condition, trigger the fault pre-warning module, and if not, send a maintenance instruction to the maintenance management module .

Preferably, the failure warning conditions include:

Input the fault judgment into the fault prediction neural network to obtain the probability of fault occurrence and the corresponding remaining time of fault occurrence, and use the probability of occurrence of fault and the remaining time of fault occurrence as the fault early warning condition, if the probability of occurrence of fault and the remaining time of fault occurrence are If the remaining time of the fault occurrence exceeds the preset threshold, the fault pre-warning module is triggered.

Preferably, the fault warning module has a buzzer alarm and an LED warning light, and the buzzer alarm and the LED warning light are respectively connected to the diagnostic unit.

In order to achieve the above object, the present invention also provides a method for elevator failure detection and early warning, including:

Obtaining a detection data set corresponding to the elevator based on the detection equipment, processing the detection data set, and obtaining an effective detection data set;

Analyzing the effective detection data set through a data analysis module, and obtaining a fault prediction result based on the fault database;

Diagnose the elevator fault based on the remote diagnosis module, and judge whether the fault meets the early warning conditions. If it is satisfied, the fault early warning module will be triggered to give an alarm. If not, the maintenance command will be sent to the maintenance management module to repair the elevator in time.

The beneficial effects of the present invention are:

(1) The present invention provides a data basis for generating a fault prediction model by obtaining effective detection data useful for fault prediction, and compares the information data collected with the data in the database in real time, thereby accurately judging the various parameters during elevator operation. Whether the value is normal to achieve the effect of fault warning;

(2) The elevator fault detection and early warning system of the present invention has high versatility and wide popularity, and the unified elevator cloud management platform is simple and convenient, which can improve the management efficiency and service quality of the maintenance unit, ensure the safety of elevators, and relieve passengers. Reduce overhead.

Description of drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the accompanying drawings required in the embodiments. Obviously, the accompanying drawings in the following description are only some of the present invention. Embodiments, for those of ordinary skill in the art, other drawings can also be obtained according to these drawings without paying creative labor.

Fig. 1 is a schematic structural diagram of an elevator fault detection and early warning system according to an embodiment of the present invention;

Fig. 2 is a flow chart of an elevator fault detection and early warning method according to an embodiment of the present invention.

Detailed ways

The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

In order to make the above objects, features and advantages of the present invention more comprehensible, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

A kind of elevator fault detection early warning system, as shown in Figure 1, comprises:

Data detection module: used for obtaining the detection data set corresponding to the elevator based on the detection equipment, processing the detection data set, and obtaining an effective detection data set;

Data analysis module: used to analyze the effective detection data set, and obtain fault prediction results based on the fault database;

Remote diagnosis module: used for diagnosing the elevator fault based on the fault prediction result, and judging whether the fault satisfies the early warning condition, if so, triggering the fault early warning module, and if not, sending a maintenance instruction to the maintenance management module;

Fault warning module: used for fault warning;

Maintenance management module: used for performing maintenance management on the elevator according to the maintenance instruction.

Preferably, the data detection module includes:

Data acquisition unit: used to acquire the detection data corresponding to the elevator through the detection equipment arranged on the elevator;

A data processing unit: used to determine a corresponding truncated structure for the data type in the detected data, perform truncated processing through the truncated structure, and obtain the effective detected data set.

The detection equipment includes:

Gravity sensing device: used to detect whether there is a person in the elevator car;

Humidity sensing device: used to detect the humidity in the elevator car;

Acceleration sensing device: used to detect the acceleration when the elevator is running;

Voltage and current sensing device; used to detect the current and voltage when the elevator is running;

Leveling detection device: used to detect whether the elevator car is leveling when it stops;

Door opening detection device: used to detect the opening and closing state of the elevator door.

In a further optimization solution, the gravity sensing device includes a personnel detection device, the personnel detection device is arranged inside the elevator car, and the personnel detection device is an infrared detector or a radar detector.

The leveling detection device includes a leveling detection part, the leveling detection part is arranged outside the elevator car, and the leveling detection part is connected with the data processing unit; the elevator stops and the car leveling When the elevator stops and the car is not leveling, the sensing end of the leveling detector points to the wall of the elevator shaft.

Further optimization scheme, described data analysis module comprises:

Failure database: used to store all failure types of the elevator, and record the corresponding failure time and failure duration when the elevator fails, and compare it with the effective detection data set to obtain the comparison result;

A fault prediction unit: used to predict the fault of the elevator based on the comparison result, and obtain the fault prediction result.

The remote diagnosis module includes:

A receiving unit: used to receive the fault prediction result;

Diagnosis unit: used for fault judgment according to the fault prediction result and the effective detection data set, if the fault satisfies the pre-warning condition, trigger the fault pre-warning module, and if not, send a maintenance instruction to the maintenance management module .

Further optimization scheme, described fault early warning conditions include:

Input the failure judgment into the failure prediction neural network to obtain the probability of failure and the corresponding remaining time of failure, and use the probability of failure and the remaining time of failure as the failure warning condition, if the probability of failure exceeds the expected Assuming that the probability is 50%, and the remaining time of the fault occurrence exceeds 50% of the preset remaining time, the fault early warning module is triggered.

The fault pre-warning module has a buzzer alarm and an LED warning light, and the buzzer alarm and the LED warning light are respectively connected to the diagnostic unit.

The present invention also collects the information data of the weight of the car through the gravity sensor. When the passenger enters the car, the weight sensor will detect the weight of the car, and transmit the weight information data to the data analysis module through the communication module, and the data analysis module will send the information The data is sent to the fault prediction unit, and the fault prediction unit is compared with the weight data in the database and the comparison result is sent to the remote diagnosis module. When the comparison data is higher than the weight data, the remote diagnosis module controls the work of the fault early warning module, and the LED warning light The warning light of the warning light turns on, and the buzzer sends out an alarm sound. At the same time, the remote diagnosis module sends the overweight information to the maintenance management module to prompt the maintenance personnel for weight failure information.

The door opening and closing detection part is a photoelectric sensor, and its photoelectric signal is a door opening and closing detection signal. The detection end of the door opening and closing detection part continuously transmits the door opening and closing detection signal to the closing position of the car door. When the car door 1 is opened, the car door no longer blocks the door opening and closing detection signal, so that the door opening and closing detection signal of the door opening and closing detection part changes, and feeds back the door opening and closing detection signal to the signal processing module; when the car door When closing, the car door blocks the door opening and closing detection signal again, and the door opening and closing detection signal of the door opening and closing detection part changes again, and feeds back the door opening and closing detection signal to the data analysis module; when the car door cannot be opened and closed, the The door opening and closing detection signal of the door opening and closing detection part will not change within the set time, and the current door opening and closing detection signal is fed back to the data analysis module.

The present invention also provides a method for elevator failure detection and early warning, as shown in Figure 2, comprising:

Obtaining a detection data set corresponding to the elevator based on the detection equipment, processing the detection data set, and obtaining an effective detection data set;

Analyzing the effective detection data set through a data analysis module, and obtaining a fault prediction result based on the fault database;

Diagnose the elevator fault based on the remote diagnosis module, and judge whether the fault meets the early warning conditions. If it is satisfied, the fault early warning module will be triggered to give an alarm. If not, the maintenance command will be sent to the maintenance management module to repair the elevator in time.

The invention provides a data basis for generating a fault prediction model by obtaining effective detection data useful for fault prediction, and compares the collected information data with the data in the database in real time, thereby accurately judging whether the various values are normal when the elevator is running , to achieve the effect of fault early warning; the elevator fault detection and early warning system of the present invention has high versatility and wide popularity, and the unified elevator cloud management platform is simple and convenient, which can improve the management efficiency and service quality of the maintenance unit, and ensure the safety of elevators. Passengers are relieved and management costs can be reduced.

The embodiments described above are only descriptions of the preferred modes of the present invention, and are not intended to limit the scope of the present invention. Variations and improvements should fall within the scope of protection defined by the claims of the present invention.

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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