Elevator fault accurate detection and early warning system based on edge computing gateway

Abstract

The invention relates to the technical field of elevators, in particular to an elevator fault accurate detection and early warning system based on an edge computing gateway, which comprises a data acquisition module, a data transmission module, a fault detection module, a fault early warning module, a maintenance management module, a data analysis module and a platform interaction module. Through the real-time monitoring and fault pre-judging functions of the edge computing gateway, various potential safety hazards in the elevator running process can be found in time, early warning can be given out in advance, maintenance personnel can handle faults before the faults occur, the elevator fault rate is effectively reduced, safety accidents are reduced, the life safety of elevator taking personnel is guaranteed, and the service life of the elevator taking personnel is prolonged. Rescue workers are helped to quickly locate the position of the trapped person and accurately judge the fault reason, the rescue efficiency is improved, and panic and danger of the trapped person are reduced to the maximum extent.

Description

Technical Field

[0001] The present invention relates to the technical field of elevators, and particularly to an elevator fault precise detection and early warning system based on an edge computing gateway. Background Art

[0002] In recent years, the elevator industry in China has developed rapidly. The national elevator inventory reached 12 million units in 2024, and the market has gradually shifted from the new elevator market to the stock market. With the sharp increase in the number of elevators, how to ensure the safe operation of elevator equipment and the effective supervision of elevator equipment maintenance has become a major problem to be solved urgently.

[0003] There are many drawbacks in the traditional elevator maintenance mode. Most third-party maintenance companies adopt regular or passive maintenance methods, and rarely use elevator IoT system tools. In this mode, it is difficult for maintenance personnel to obtain the actual operating conditions and historical problems of the elevator, and they can only carry out routine maintenance work according to regulations, lacking pertinence, resulting in difficult-to-guarantee maintenance quality. At the same time, the traditional maintenance mode has low efficiency and cannot flexibly adjust the maintenance cycle according to the actual situation of the elevator. Moreover, due to the lack of effective remote technical support means, the shortage of high-level maintenance technicians is prominent, and the operating costs of maintenance enterprises remain high.

[0004] In terms of elevator supervision, the previous mode of layer-by-layer data aggregation and management relying on reports has serious defects. Information is prone to artificial or technical distortion during transmission, and it is difficult for regulatory departments to directly and accurately grasp key situations such as the real-time operating status, failure rate, entrapment rescue, and maintenance quality of elevators within their jurisdiction, which brings great difficulties to the formulation of supervision measures. Therefore, an elevator fault precise detection and early warning system based on an edge computing gateway is proposed. Summary of the Invention

[0005] In view of this, the present invention provides an elevator fault precise detection and early warning system based on an edge computing gateway to solve or alleviate the technical problems existing in the prior art, and at least provide a beneficial option.

[0006] The technical solution of the present invention is realized as follows: An elevator fault precise detection and early warning system based on an edge computing gateway includes a data acquisition module, a data transmission module, a fault detection module, a fault early warning module, a maintenance management module, a data analysis module, and a platform interaction module.

[0007] Further preferably, the data acquisition module uses the Linux system kernel through an edge computing gateway and is directly connected to the elevator control system through various communication methods such as RS232, RS485, and Can to collect elevator fault and operation data in real time, ensuring that data of elevators of different brands and models can be accurately collected, covering various aspects of elevator operation data, such as fault codes, running speed, floor location, door opening and closing status, safety circuit status, machine room temperature and humidity, wire rope status, etc. These data provide a comprehensive basis for subsequent fault detection and early warning.

[0008] Further preferably, the data transmission between the gateway of the data transmission module and the server adopts the encryption method of public key plus private key and uses the MQTT encryption protocol to ensure the security of data during transmission.

[0009] Further preferably, for the fault detection module, the elevator IoT terminal scans signals with the elevator every 100 ms to monitor various signal feedbacks of the elevator in real time. Once a fault code occurs in the elevator, the system can quickly capture and process it. Even if the elevator does not generate a clear fault code, the system can also predict faults through the analysis of operation data. For example, when detecting elevator overload signals, fire signals, door slipping during opening, high temperature in the machine room, abnormal humidity in the machine room, and potential problems such as poor contact of door locks, the system will issue early warnings in a timely manner. A specially developed elevator wire rope broken strand detection device is installed on the side of the traction wheel in the elevator machine room to detect the broken strand situation of the wire rope in real time. Once a broken strand of the wire rope is found, it will immediately send early warnings to property management personnel and elevator maintenance personnel for timely handling to avoid safety accidents caused by wire rope problems.

[0010] Further preferably, for the fault early warning module, after a fault occurs in the elevator, the system can push the fault code within 6 seconds, convert it into an easy-to-understand fault explanation, and at the same time provide key information such as the floor where the elevator is located, facilitating maintenance personnel to quickly understand the fault situation. Through various methods such as APP push, SMS notification, and platform pop-up windows, early warning information is sent to maintenance personnel, property management personnel, and the government elevator emergency disposal platform to ensure that relevant personnel can be informed of the fault in a timely manner and take actions.

[0011] Further preferably, for the maintenance management module, it realizes the management of electronic maintenance orders. Maintenance personnel submit maintenance records on the APP side, and the property elevator management APP side conducts manual signature confirmation. The maintenance records include photos of the machine room, pit, car top, etc., as well as details of various maintenance items, such as the inspection conditions of components such as door locks, braking devices, and guide rails. These records are permanently stored for easy query and access, and have multiple reminder functions, such as active reminders for elevator maintenance, reminders for the expiration of elevator annual inspections, and reminders for the expiration of maintenance contracts, and are pushed to both the elevator company side and the property side to ensure that maintenance work is carried out on time.

[0012] Further preferably, after the server cluster of the data analysis module receives the data transmitted by the gateway, it decrypts all the operation data and stores it in the database. By analyzing a large amount of historical data, it mines the rules and trends of elevator failures, provides data support for optimizing elevator maintenance strategies, and statistically analyzes data such as fault types, fault times, warning times, and operation times to generate fault statistical reports, failure rate rankings, operation times rankings, etc., which helps the regulatory authorities and maintenance enterprises to comprehensively understand the elevator operation status and formulate regulatory measures and maintenance plans targeted.

[0013] Further preferably, the platform interaction module provides an encrypted interface for the government supervision platform, enabling the regulatory authorities to obtain data such as elevator operation status, fault information, and maintenance records in real time, realizing comprehensive supervision of elevators within the jurisdiction. The regulatory authorities can formulate regulatory measures based on these data to strengthen the management of elevator safety. The SAAS platform supports multiple maintenance companies and property management to use, and different tenants can operate within their respective permissions. The maintenance company can receive fault warnings, arrange maintenance tasks, and view maintenance records through the platform; the property management can view elevator operation status, fault information, maintenance progress, etc., realizing multi-party collaborative management.

[0014] Due to the adoption of the above technical solutions in the embodiments of the present invention, it has the following advantages:

[0015] First, through the real-time monitoring and fault prediction functions of the edge computing gateway, the present invention can timely detect various potential safety hazards during the elevator operation, issue early warnings, enable maintenance personnel to handle problems before the occurrence of faults, effectively reduce the elevator failure rate, reduce the occurrence of safety accidents, ensure the life safety of passengers taking the elevator, help rescue personnel quickly locate the position of trapped people, accurately determine the cause of the fault, improve the rescue efficiency, and minimize the panic and danger of trapped people to the greatest extent.

[0016] Second, it provides comprehensive elevator operation data and historical problem information for maintenance personnel, making the maintenance work more targeted, changing the blindness of the traditional maintenance mode, improving the quality of maintenance work, supporting the on-demand maintenance mode, and enabling maintenance enterprises to flexibly adjust the maintenance cycle according to the actual operation status of the elevator, extend the overall maintenance cycle, improve work efficiency, and reduce maintenance costs at the same time.

[0017] Third, the government regulatory authorities can timely and accurately obtain first-hand information on elevator operation, avoid information distortion, provide strong data support for formulating scientific and reasonable regulatory measures, strengthen the supervision of the elevator industry, standardize the market order, and the maintenance enterprises can effectively manage the maintenance work through the maintenance work time, process and content recorded by the system, improve the management efficiency, and enhance the overall management level of the enterprise.

[0018] IV. The application of the elevator Internet of Things has promoted the technological progress of the elevator industry, improved the service quality and safety level of the entire industry, enhanced the industry's competitiveness, promoted the sustainable development of the elevator industry, met the people's needs for safe and comfortable elevator rides, improved customers' satisfaction with the services of maintenance enterprises, and at the same time met the requirements of regulatory authorities to strengthen safety supervision, improve product quality and maintenance quality, creating favorable conditions for the healthy development of the elevator industry.

[0019] The above summary is only for the purpose of the specification and is not intended to be limiting in any way. In addition to the illustrative aspects, embodiments and features described above, further aspects, embodiments and features of the present invention will be readily apparent by reference to the drawings and the following detailed description. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] In order to more clearly illustrate the technical solutions in the embodiments of the present application or in the prior art, the following will briefly introduce the drawings required for the description of the embodiments or the prior art. Obviously, the drawings in the following description are only some embodiments of the present application. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0021] Figure 1 It is a system module diagram of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0022] In the following, only some exemplary embodiments are briefly described. As those skilled in the art can recognize, the described embodiments can be modified in various different ways without departing from the spirit or scope of the present invention. Therefore, the drawings and the description are considered to be exemplary in nature rather than restrictive.

[0023] The embodiments of the present invention will be described in detail below with reference to the drawings.

[0024] As Figure 1 shown, the embodiment of the present invention provides an elevator fault precise detection and early warning system based on an edge computing gateway, including a data acquisition module, a data transmission module, a fault detection module, a fault early warning module, a maintenance management module, a data analysis module and a platform interaction module.

[0025] In one embodiment, the data acquisition module uses the Linux system kernel through the edge computing gateway and is directly connected to the elevator control system through various communication methods such as RS232, RS485, and Can to collect elevator fault and operation data in real time, ensuring that data from elevators of different brands and models can be accurately collected, covering various aspects of elevator operation data, such as fault codes, running speed, floor location, door opening and closing status, safety loop status, machine room temperature and humidity, wire rope status, etc. These data provide a comprehensive basis for subsequent fault detection and early warning.

[0026] In one embodiment, the data transmission between the data transmission module gateway and the server adopts an encryption method of public key plus private key and uses the MQTT encryption protocol to ensure the security of data during transmission.

[0027] In one embodiment, the fault detection module: The elevator IoT terminal scans signals with the elevator every 100 ms to monitor all signal feedbacks of the elevator in real time. Once a fault code occurs in the elevator, the system can quickly capture and process it. Even if the elevator does not generate a clear fault code, the system can also perform fault prediction through the analysis of operation data. For example, when detecting situations such as elevator overload signal, fire signal, door slipping during opening, high temperature in the machine room, abnormal humidity in the machine room, and potential problems such as poor contact of door locks, the system will issue an early warning in a timely manner. A specially developed elevator wire rope broken strand detection device is installed on the side of the traction wheel in the elevator machine room to detect the broken strand situation of the wire rope in real time. Once a broken strand of the wire rope is found, it will immediately send an early warning to the property management personnel and elevator maintenance personnel for timely handling to avoid safety accidents caused by wire rope problems.

[0028] In one embodiment, the fault early warning module: After the elevator breaks down, the system can push the fault code within 6 seconds, convert it into an easy-to-understand fault explanation, and at the same time provide key information such as the floor where the elevator is located, facilitating maintenance personnel to quickly understand the fault situation. Through various methods such as APP push, SMS notification, and platform pop-up window, it sends early warning information to maintenance personnel, property management personnel, and the government elevator emergency disposal platform to ensure that relevant personnel can be informed of the fault in a timely manner and take actions.

[0029] In one embodiment, the maintenance management module realizes the management of electronic maintenance orders. Maintenance personnel submit maintenance records on the APP side, and the property elevator management APP side performs manual signature confirmation. The maintenance records include photos of the machine room, pit, car top, etc., as well as details of various maintenance items, such as the inspection conditions of components such as door locks, braking devices, and guide rails. These records are permanently stored for convenient query and retrieval. It has multiple reminder functions, such as active reminder for elevator maintenance, reminder for elevator annual inspection due, reminder for maintenance contract due, and pushes them bidirectionally to the elevator company side and the property side to ensure that maintenance work is carried out on time.

[0030] In one embodiment, the data analysis module, after the server cluster receives the data transmitted by the gateway, decrypts all the operating data and stores it in the database. By analyzing a large amount of historical data, it explores the patterns and trends of elevator failures, provides data support for optimizing elevator maintenance strategies, performs statistical analysis on data such as failure type, number of failures, number of warnings, and number of operations, and generates failure statistical reports, failure rate rankings, and number of operations rankings, etc., which helps regulatory authorities and maintenance companies to fully understand the operating status of elevators and formulate targeted regulatory measures and maintenance plans.

[0031] In one embodiment, the platform interaction module provides an encrypted interface for the government supervision platform, so that the supervision department can obtain data such as the elevator operation status, fault information, maintenance records, etc. in real time, and realize comprehensive supervision of elevators within the jurisdiction. The supervision department can formulate supervision measures based on these data to strengthen the management of elevator safety. The SAAS platform supports the use of multiple maintenance companies and properties, and different tenants can operate within their respective authority. Maintenance companies can receive fault warnings, arrange maintenance tasks, and view maintenance records through the platform; properties can view the elevator operation status, fault information, maintenance progress, etc., to achieve multi-party collaborative management.

[0032] The above is only a specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art can easily think of various changes or substitutions within the technical scope disclosed by the present invention, which should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.

Claims

1. An elevator fault precise detection and early warning system based on an edge computing gateway, characterized in that: It includes a data acquisition module, a data transmission module, a fault detection module, a fault warning module, a maintenance management module, a data analysis module, and a platform interaction module.

2. The elevator fault precise detection and early warning system based on an edge computing gateway according to claim 1, wherein: The data acquisition module adopts the Linux system kernel through an edge computing gateway and is directly connected to the elevator control system through various communication methods such as RS232, RS485, and Can to collect elevator fault and operation data in real time, ensuring that data of elevators of different brands and models can be accurately collected, covering various aspects of elevator operation data, such as fault codes, running speed, floor location, door opening and closing status, safety circuit status, machine room temperature and humidity, wire rope status, etc. These data provide a comprehensive basis for subsequent fault detection and warning.

3. The elevator fault precise detection and early warning system based on an edge computing gateway according to claim 1, characterized in that: For the data transmission between the gateway of the data transmission module and the server, an encryption method of public key plus private key is adopted, and the MQTT encryption protocol is used to ensure the security of data during transmission.

4. The elevator fault precise detection and early warning system based on an edge computing gateway according to claim 1, characterized in that: In the fault detection module, the elevator Internet of Things terminal scans signals with the elevator every 100 ms to monitor various signal feedbacks of the elevator in real time. Once a fault code occurs in the elevator, the system can quickly capture and process it. Even if the elevator does not generate a clear fault code, the system can also make a fault prediction through the analysis of operation data. For example, when detecting situations such as elevator overload signal, fire signal, door slipping during opening, high temperature in the machine room, abnormal humidity in the machine room, and potential problems such as poor contact of door locks, the system will issue a warning in a timely manner. A specially developed elevator wire rope broken strand detection device is installed on the traction wheel side of the elevator machine room to detect the broken strand situation of the wire rope in real time. Once a broken strand of the wire rope is found, it will immediately send a warning to the property management personnel and elevator maintenance personnel to facilitate timely handling and avoid safety accidents caused by wire rope problems.

5. The elevator fault precise detection and early warning system based on an edge computing gateway according to claim 1, characterized in that: In the fault warning module, after a fault occurs in the elevator, the system can push the fault code within 6 seconds, convert it into an easy-to-understand fault explanation, and at the same time provide key information such as the floor where the elevator is located, facilitating maintenance personnel to quickly understand the fault situation. Through various methods such as APP push, SMS notification, and platform pop-up window, warning information is sent to maintenance personnel, property management personnel, and the government elevator emergency response platform to ensure that relevant personnel can be informed of the fault in a timely manner and take actions.

6. The elevator fault precise detection and early warning system based on an edge computing gateway according to claim 1, wherein: The maintenance management module realizes the management of electronic maintenance work orders. Maintenance personnel submit maintenance records on the APP side, and the property elevator management APP side conducts manual signature confirmation. The maintenance records include photos of the machine room, pit, car top, etc., as well as details of various maintenance items, such as the inspection conditions of components such as door locks, braking devices, and guide rails. These records are permanently stored for convenient query and retrieval, and have various reminder functions, such as active reminder of elevator maintenance, reminder of expiration of elevator annual inspection, reminder of expiration of maintenance contract, and are pushed to both the elevator company side and the property side to ensure that the maintenance work is carried out on time.

7. The elevator fault precise detection and early warning system based on an edge computing gateway according to claim 1, characterized in that: The data analysis module. After the server cluster receives the data transmitted by the gateway, it decrypts all the operation data and stores it in the database. By analyzing a large amount of historical data, it mines the laws and trends of elevator failures, provides data support for optimizing elevator maintenance strategies, and conducts statistical analysis on data such as fault types, fault frequencies, warning frequencies, and operation frequencies to generate fault statistical reports, failure rate rankings, operation frequency rankings, etc., which helps the regulatory authorities and maintenance enterprises to comprehensively understand the elevator operation status and formulate targeted regulatory measures and maintenance plans.

8. An elevator fault precise detection and early warning system based on an edge computing gateway according to claim 1, characterized in that: The platform interaction module provides an encrypted interface for the government supervision platform, enabling the regulatory authorities to obtain data such as elevator operation status, fault information, and maintenance records in real time, realizing the comprehensive supervision of elevators within the jurisdiction. The regulatory authorities can formulate regulatory measures based on these data to strengthen the management of elevator safety. The SAAS platform supports multiple maintenance companies and property management companies to use. Different tenants can operate within their respective permissions. The maintenance companies can receive fault warnings, arrange maintenance tasks, and view maintenance records through the platform; the property management companies can view elevator operation status, fault information, maintenance progress, etc., realizing multi-party collaborative management.

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