Elevator on-demand maintenance and early warning system based on Internet of Things

Abstract

The utility model belongs to the technical field of elevator equipment, and particularly discloses an elevator on-demand maintenance and early warning system based on the Internet of Things, which comprises an operation data acquisition module, an operation data statistics module, an Internet of Things fault diagnosis module and a fault alarm module which are connected in sequence, the operation data acquisition module is used for acquiring elevator data and transmitting the elevator data to the operation data statistics module; the operation data statistics module is used for counting data and transmitting the data to the Internet of Things fault diagnosis module; the Internet of Things fault diagnosis module is used for diagnosing data to judge whether the elevator breaks down or not and transmitting fault data to the fault alarm module when the elevator breaks down; the fault alarm module is used for sending an alarm signal. The system disclosed by the utility model is simple and easy to build, can realize real-time monitoring and early warning of the elevator state, and greatly improves the operation safety and the maintenance efficiency of the elevator.

Description

Technical Field

[0001] The utility model relates to the field of elevator equipment, and in particular to an elevator on-demand maintenance and early warning system based on the Internet of Things. Background Art

[0002] As an indispensable means of transportation in modern buildings, elevators carry a large number of passengers every day, which is directly related to people's life safety and property safety. Therefore, ensuring elevator safety is an important measure to ensure the safety of passengers' lives. At present, when designing elevators on the market, a series of maintenance measures are usually taken to ensure their safe and reliable operation, such as daily inspections, regular maintenance, sensors on the car doors, emergency call devices, overload protection devices, emergency brake devices in the elevator, speed limiters in the elevator shaft, and professional training for maintenance personnel and safety training for passengers. In short, in order to ensure the safety of elevators, the existing elevator maintenance measures mainly strengthen the supervision and management of the design, manufacturing, installation, maintenance and other links of the elevator, improve the safety awareness and operating skills of elevator users, and establish a complete elevator emergency rescue system.

[0003] Existing elevator safety maintenance measures can almost meet the requirements for safe operation of elevators, and are mainly aimed at upgrading elevator equipment, regular maintenance of elevators, and training of personnel, that is, they mainly focus on prevention, but cannot monitor and warn the elevator operation status in real time. If the elevator operation status can be monitored and warned in real time on the basis of elevator maintenance measures, it can not only ensure the safety of passengers and the public, improve the operating efficiency of elevators, and reduce repair and maintenance costs, but also promote the innovation and development of the elevator industry, and contribute to the harmony and stability of society and economic development.

[0004] Therefore, there is an urgent need in the art to propose an on-demand elevator maintenance and early warning system based on the Internet of Things to address the defects of the existing technology. Utility Model Content

[0005] The purpose of the utility model is to provide an on-demand maintenance and early warning system for elevators based on the Internet of Things. The system is simple and easy to build, and can achieve real-time monitoring of the elevator status and early warning, greatly improving the operating safety and maintenance efficiency of the elevator.

[0006] The technical solution adopted to achieve the purpose of this utility model is:

[0007] An on-demand elevator maintenance and early warning system based on the Internet of Things, comprising an operation data acquisition module, an operation data statistics module, an Internet of Things fault diagnosis module and a fault alarm module connected in sequence;

[0008] The operation data acquisition module is used to obtain elevator data and transmit it to the operation data statistics module;

[0009] The operation data statistics module is used to collect statistical data and transmit it to the IoT fault diagnosis module;

[0010] The IoT fault diagnosis module is used to diagnose data to determine whether the elevator has a fault, and transmit the fault data to the fault alarm module when a fault occurs;

[0011] The fault alarm module is used to send out an alarm signal to obtain elevator data and transmit it to the operation data statistics module.

[0012] Furthermore, it also includes a system server and a data storage module, the system server is connected to the Internet of Things fault diagnosis module, and the data storage module is connected to the fault alarm module;

[0013] The system server is used to receive fault data transmitted by the IoT fault diagnosis module;

[0014] The data storage module is used to store the fault data transmitted by the fault alarm module

[0015] Connected to the fault alarm module.

[0016] Furthermore, the operation data acquisition module includes a current sensor, a non-leveling sensor, a running speed sensor, a car vibration sensor and a traction machine temperature sensor.

[0017] Furthermore, the IoT fault diagnosis module includes a current data diagnosis unit, a non-level elevator stop diagnosis unit, a running speed diagnosis unit, a car vibration diagnosis unit and a traction machine temperature diagnosis unit.

[0018] Furthermore, the fault alarm module includes a motor fault alarm unit, a car fault alarm unit, a brake fault alarm unit, a current fault alarm unit and an elevator trapped fault alarm unit.

[0019] Furthermore, the data storage module includes a motor data unit, a car data recording unit, a brake data recording unit, a current data recording unit and an alarm number recording unit.

[0020] The beneficial effects of the utility model are:

[0021] 1. The system of the utility model is simple and easy to build. It can realize real-time monitoring and early warning of the elevator status, greatly improving the operation safety and maintenance efficiency of the elevator.

[0022] 2. The utility model uses Internet of Things devices to collect relevant elevator data and elevator safety operation fault data, which not only realizes the intelligent diagnosis and trend prediction of elevator mechanical transmission parts and mechanical fault alarm, but also implements the "Internet of Things + maintenance" maintenance mode based on the Internet of Things remote monitoring technology, improves the scientificity and effectiveness of elevator maintenance work, and improves the quality of elevator maintenance work. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] In order to more clearly illustrate the embodiments of the utility model or the technical solutions in the prior art, the utility model will be further described below in conjunction with the accompanying drawings and embodiments. The drawings described below are only some embodiments of the utility model. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work:

[0024] Figure 1 It is a structural schematic diagram of the utility model system.

[0025] Figure 2 It is a schematic diagram of a work flow of the utility model.

[0026] Figure 3 It is a specific module schematic diagram of the operation data acquisition module of the utility model.

[0027] Figure 4 It is a specific module schematic diagram of the Internet of Things fault diagnosis module of the utility model.

[0028] Figure 5 It is a specific module schematic diagram of the fault alarm module of the utility model.

[0029] Figure 6 It is a specific module schematic diagram of the data storage module of the utility model.

[0030] In the figure: 1. Operation data acquisition module; 2. Operation data statistics module; 3. Internet of Things fault diagnosis module; 4. Fault alarm module; 5. System server; 6. Data storage module;

[0031] 101. Current sensor; 102. Non-leveling sensor; 103. Running speed sensor; 104. Car vibration sensor and 105. Traction machine temperature sensor;

[0032] 301. Current data diagnostic unit; 302. Non-level stop diagnostic unit; 303. Running speed diagnostic unit; 304. Car vibration diagnostic unit; 305. Traction machine temperature diagnostic unit;

[0033] 401. Motor fault alarm unit; 402. Car fault alarm unit; 403. Brake fault alarm unit; 404. Current fault alarm unit; 405. Trapped elevator fault alarm unit;

[0034] 601. Motor data unit; 602. Car data recording unit; 603. Braking data recording unit; 604. Current data recording unit and; 605. Alarm number recording unit. DETAILED DESCRIPTION

[0035] In order to make the purpose, technical solution and advantages of the embodiments of the utility model clearer, the following will be described clearly and completely in combination with the technical solution in the embodiments of the utility model. Obviously, the described embodiments are partial embodiments of the utility model, not all embodiments. Based on the embodiments of the utility model, all other embodiments obtained by ordinary technicians in this field without creative work are within the protection scope of the utility model.

[0036] like Figure 1 As shown, an elevator on-demand maintenance and early warning system based on the Internet of Things includes an operation data acquisition module 1, an operation data statistics module 2, an Internet of Things fault diagnosis module 3 and a fault alarm module 4 which are connected in sequence; the operation data acquisition module 1 is used to obtain elevator data and transmit it to the operation data statistics module 2; the operation data statistics module 2 is used to collect data and transmit it to the Internet of Things fault diagnosis module 3; the Internet of Things fault diagnosis module 3 is used to diagnose data to determine whether the elevator has a fault, and transmit the fault data to the fault alarm module 4 when a fault occurs; the fault alarm module 4 is used to send an alarm signal. The system of the utility model also includes a system server 5 and a data storage module 6, the system server 5 is connected to the Internet of Things fault diagnosis module 3, and the data storage module 6 is connected to the fault alarm module 4; the system server 5 is used to receive the fault data transmitted by the Internet of Things fault diagnosis module 3; the data storage module 6 is used to store the fault data transmitted by the fault alarm module 4.

[0037] like Figure 1 and Figure 2As shown, the system of the utility model is applied in the existing elevators, and the operation safety and maintenance efficiency of the elevators are greatly improved through real-time monitoring and early warning of the elevator status. In the actual working process, when the Internet of Things fault diagnosis module 3 determines that a fault has occurred, the elevator fault data is sent to the fault alarm module 4 for alarm, and the corresponding personnel are notified for repair / maintenance. At the same time, the elevator fault data is sent to the system server 5, wherein the system server 5 is a common server in existing elevators, which mainly provides monitoring and management functions for the elevator. And the fault alarm module 4 sends the fault data to the data storage module 6 for storage, and the data storage module 6 classifies and stores the data into the motor data unit 601, the car data recording unit 602, the brake data recording unit 603, the current data recording unit 604 and the alarm number recording unit 605, as shown in the following figure. Figure 6 If no fault occurs, calculate whether the elevator maintenance period reaches sixty days. If it reaches sixty days, notify the corresponding personnel for repair / maintenance.

[0038] like Figure 3 As shown, in the present utility model, the operation data acquisition module 1 includes a current sensor 101 , a non-leveling sensor 102 , an operation speed sensor 103 , a car vibration sensor 104 and a traction machine temperature sensor 105 .

[0039] The current sensor 101 can monitor the current status of the elevator in real time and transmit the detection data to the subsequent module for analysis, effectively preventing equipment damage or failure caused by abnormal current. At the same time, the current sensor 101 itself can also respond quickly when encountering emergencies (such as elevator failure or traction machine jamming), automatically cut off the power supply, protect the electronic components and motors inside the elevator, and avoid accidents caused by equipment damage.

[0040] The non-leveling sensor 102 can accurately sense the position of the elevator car and transmit the detection data to the subsequent module for analysis to determine whether it has accurately reached the preset floor plane and take corresponding safety measures when necessary to ensure the safe operation of the elevator. The non-leveling sensor 102 can adopt an existing beam-type or reflective photoelectric switch sensor.

[0041] The running speed sensor 103 can monitor the running speed of the elevator in real time and accurately, and transmit the detection data to the subsequent modules for analysis, so as to ensure the smooth operation of the elevator between the stop points on each floor.

[0042] The car vibration sensor 104 can monitor the vibration of the elevator car in real time during operation, including parameters such as vibration frequency and amplitude, and transmit the detection data to subsequent modules for analysis, ensuring the safe and efficient operation of the elevator and providing passengers with a more comfortable and safe riding experience.

[0043] The traction machine temperature sensor 105 can monitor the temperature changes of the elevator traction machine during operation in real time, accurately detect the temperature, and transmit the detection data to the subsequent modules for analysis, providing important data support for the safe operation of the elevator.

[0044] The utility model collects data through the current sensor 101, the non-leveling sensor 102, the running speed sensor 103, the car vibration sensor 104 and the traction machine temperature sensor 105, and transmits the data to the running data statistics module 2, and then to the Internet of Things fault diagnosis module 3 for analysis. It can monitor the running status of the elevator in real time, ensure safety control, optimize operating efficiency, fault prediction and maintenance, and cooperate with other sensors, providing important guarantee for the safe and efficient operation of the elevator.

[0045] like Figure 4 As shown, in the present utility model, the Internet of Things fault diagnosis module 3 includes a current data diagnosis unit 301, a non-leveling stop diagnosis unit 302, a running speed diagnosis unit 303, a car vibration diagnosis unit 304 and a traction machine temperature diagnosis unit 305. The current data diagnosis unit 301, the non-leveling stop diagnosis unit 302, the running speed diagnosis unit 303, the car vibration diagnosis unit 304 and the traction machine temperature diagnosis unit 305 respectively diagnose the data collected by the current sensor 101, the non-leveling sensor 102, the running speed sensor 103, the car vibration sensor 104 and the traction machine temperature sensor 105.

[0046] The five diagnostic units, namely, the current data diagnostic unit 301, the non-leveling stop diagnostic unit 302, the running speed diagnostic unit 303, the car vibration diagnostic unit 304 and the traction machine temperature diagnostic unit 305, realize the diagnostic function through their corresponding comparison circuits. Each comparison circuit includes a signal conditioning circuit, a comparator circuit and a reference voltage unit, the input end of the signal conditioning circuit is connected to the output end of the current sensor 101 or the non-leveling sensor 102 or the running speed sensor 103 or the car vibration sensor 104 or the traction machine temperature sensor 105 corresponding to the diagnostic unit, the output end of the signal conditioning circuit is connected to the first input end of the comparator circuit, the second input end of the comparator circuit is connected to the output end of the reference voltage unit, and the output end of the comparator circuit is connected to the input end of the fault alarm module.

[0047] The output voltage of the reference voltage unit corresponds to the signal threshold preset by the diagnostic unit. The reference voltage unit is preferably, but not limited to, composed of an existing voltage reference chip and a resistor voltage divider network, which is a conventional technology in the art and will not be described in detail here. The signal conditioning circuit is used to condition the output signal of the current sensor 101 or the non-leveling sensor 102 or the running speed sensor 103 or the car vibration sensor 104 or the traction machine temperature sensor 105 corresponding to the diagnostic unit into a voltage signal within a set range. The signal conditioning circuit is preferably, but not limited to, an existing resistor voltage divider network or a current-voltage conversion circuit.

[0048] The comparator circuit of each diagnostic unit compares the voltage signal conditioned by the signal conditioning unit of the current sensor 101 or non-leveling sensor 102 or running speed sensor 103 or car vibration sensor 104 or traction machine temperature sensor 105 corresponding to the diagnostic unit with the voltage signal output by the reference voltage unit, and determines that a fault occurs when the conditioned voltage signal exceeds the output voltage of the reference voltage unit, and outputs an abnormal signal to the fault alarm module 4. The comparator circuit is limited to but not limited to the existing comparators such as LM293 or LM311 and their peripheral circuits, which will not be described in detail here.

[0049] In order to ensure that the data anomaly of any detection unit can be detected, in actual design, a logic gate circuit is also provided in the IoT fault diagnosis module 3, and the logic gate circuit is an "OR gate", and the stream data diagnosis unit 301, the non-level stop diagnosis unit 302, the running speed diagnosis unit 303, the car vibration diagnosis unit 304 and the traction machine temperature diagnosis unit 305 are all connected to the logic gate circuit. When the logic gate circuit determines that the data of any diagnosis unit is abnormal, the abnormal signal is transmitted to the fault alarm module 4. Specifically, the logic gate circuit preferably adopts, but is not limited to, a multi-input OR gate of model CD4078 and its peripheral circuits.

[0050] like Figure 5 As shown, in the present invention, the fault alarm module 4 includes a motor fault alarm unit 401, a car fault alarm unit 402, a brake fault alarm unit 403, a current fault alarm unit 404 and a trapped elevator fault alarm unit 405. The fault alarm module 4 is divided into different alarm units to realize accurate alarm, which is convenient for the staff to carry out targeted maintenance.

[0051] The utility model uses Internet of Things devices to collect relevant elevator data and elevator safe operation fault data, which not only realizes the intelligent diagnosis and trend prediction of elevator mechanical transmission parts faults and mechanical fault alarms, but also implements the "Internet of Things + maintenance" maintenance mode based on the Internet of Things remote monitoring technology, improves the scientificity and effectiveness of elevator maintenance work, and improves the quality of elevator maintenance work.

[0052] The specific implementation methods described above further illustrate the purpose, technical solutions and beneficial effects of the utility model in detail. It should be understood that the above description is only a specific implementation method of the utility model and is not intended to limit the utility model. Any modifications, equivalent substitutions and improvements made within the scope of the utility model should be included in the protection scope of the utility model.

Claims

1. An on-demand elevator maintenance and early warning system based on the Internet of Things, characterized in that: It comprises an operation data collection module (1), an operation data statistics module (2), an Internet of Things fault diagnosis module (3) and a fault alarm module (4) which are connected in sequence; The operation data acquisition module (1) is used to obtain elevator data and transmit it to the operation data statistics module (2); The operation data statistics module (2) is used to collect the statistics and transmit them to the Internet of Things fault diagnosis module (3); The Internet of Things fault diagnosis module (3) is used to diagnose data to determine whether the elevator has a fault, and transmit the fault data to the fault alarm module (4) when a fault occurs; The fault alarm module (4) is used to send out an alarm signal.

2. The elevator on-demand maintenance and early warning system based on the Internet of Things according to claim 1 is characterized in that: It also includes a system server (5) and a data storage module (6), wherein the system server (5) is connected to the Internet of Things fault diagnosis module (3), and the data storage module (6) is connected to the fault alarm module (4); The system server (5) is used to receive the fault data transmitted by the Internet of Things fault diagnosis module (3); The data storage module (6) is used to store the fault data transmitted by the fault alarm module (4).

3. The elevator on-demand maintenance and early warning system based on the Internet of Things according to claim 1 or 2 is characterized in that: The operation data acquisition module (1) comprises a current sensor (101), a non-leveling sensor (102), an operation speed sensor (103), a car vibration sensor (104) and a traction machine temperature sensor (105).

4. The elevator on-demand maintenance and early warning system based on the Internet of Things according to claim 1 or 2 is characterized in that: The Internet of Things fault diagnosis module (3) comprises a current data diagnosis unit (301), a non-leveling elevator stop diagnosis unit (302), a running speed diagnosis unit (303), a car vibration diagnosis unit (304) and a traction machine temperature diagnosis unit (305).

5. The elevator on-demand maintenance and early warning system based on the Internet of Things according to claim 3 is characterized in that: The Internet of Things fault diagnosis module (3) comprises a current data diagnosis unit (301), a non-leveling elevator stop diagnosis unit (302), a running speed diagnosis unit (303), a car vibration diagnosis unit (304) and a traction machine temperature diagnosis unit (305).

6. The elevator on-demand maintenance and early warning system based on the Internet of Things according to claim 1, 2 or 5, characterized in that: The fault alarm module (4) comprises a motor fault alarm unit (401), a car fault alarm unit (402), a brake fault alarm unit (403), a current fault alarm unit (404) and a trapped elevator fault alarm unit (405).

7. The elevator on-demand maintenance and early warning system based on the Internet of Things according to claim 3 is characterized in that: The fault alarm module (4) comprises a motor fault alarm unit (401), a car fault alarm unit (402), a brake fault alarm unit (403), a current fault alarm unit (404) and a trapped elevator fault alarm unit (405).

8. The elevator on-demand maintenance and early warning system based on the Internet of Things according to claim 4 is characterized in that: The fault alarm module (4) comprises a motor fault alarm unit (401), a car fault alarm unit (402), a brake fault alarm unit (403), a current fault alarm unit (404) and a trapped elevator fault alarm unit (405).

9. The elevator on-demand maintenance and early warning system based on the Internet of Things according to claim 2, 5, 7 or 8, characterized in that: The data storage module (6) comprises a motor data unit (601), a car data recording unit (602), a brake data recording unit (603), a current data recording unit (604) and an alarm number recording unit (605).

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