Multi-dimensional data acquisition and management system of escalator group

Abstract

The invention discloses a multi-dimensional data acquisition and management system of an escalator group. The multi-dimensional data acquisition and management system comprises a data collection module, a data transmission module, a data storage module, a data analysis module and a user interface, wherein the state data of the escalator is obtained through the data collection module; the escalator data is uploaded to a cloud platform through the data transmission module; escalator data and analysis results are stored through the data storage module, and the data are managed and organized; the running state of the escalator is diagnosed through the data analysis module; the user interface is used for visually displaying the health condition of the escalator group and facilitating related personnel to manage the escalator group. According to the invention, the state of the escalator group can be monitored in real time, and the result is uploaded to the cloud database, so that the centralized management of related personnel is facilitated.

Description

Technical Field

[0001] The present invention relates to the technical field of comprehensive detection of underground infrastructure, and in particular to a multi-dimensional data collection and management system for escalator groups. Background Art

[0002] Escalators are widely used in railway stations, subway stations, shopping malls and other places to transport passengers to and from different floors of buildings. Their moving parts are exposed to the outside and in direct contact with passengers. Once a failure occurs, it will cause a serious safety accident. By arranging sensors and other methods to collect escalator status data, effective fault prediction and health management of escalators can be carried out. While reducing labor costs, real-time monitoring of escalator status is achieved, reducing the occurrence of safety accidents.

[0003] At present, the collection of status data of escalators is limited to the scope of a single escalator. In actual situations, there are often a large number of escalators that need to be centrally managed. For example, railway operations need to manage all escalators at each station, and large airports need to manage all escalators in the airport. Due to the large number of escalators that need to be managed, frequent data access and high concurrency problems arise. In response to the above problems, the present invention proposes a multi-dimensional data collection and management system for escalator groups, which meets the detection data requirements for escalator fault prediction and health management, and proposes a centralized management method.

[0004] The information disclosed in this background technology section is only intended to deepen the understanding of the overall background technology of the present invention, and should not be regarded as acknowledging or suggesting in any form that the information constitutes the prior art already known to those skilled in the art. Summary of the invention

[0005] In view of the problems existing in the prior art, the object of the present invention is to provide a multi-dimensional data collection and management system for an escalator group.

[0006] In order to achieve the above object, the present invention adopts the following technical solutions: The multi-dimensional data collection and management system of the escalator group includes a data collection module, a data transmission module, a data storage module, a data analysis module and a user interface; the details are as follows: The data collection module is used to obtain the status data of the escalator. The data collection module is mainly composed of the collection system and the control cabinet system. The collection system obtains the escalator data through sensors. By installing various sensors at key parts of each escalator, multi-dimensional information such as vibration, displacement, temperature and sound of key components can be obtained. The analog signal obtained by the sensor is recorded by the acquisition card at a set sampling frequency, and then converted into a digital signal through the A / D converter of the acquisition card. The control cabinet system obtains data such as the running speed of the escalator, the current and voltage of the motor, the liquid level of the liquid pump and the braking distance through the programmable logic controller (PLC).

[0007] The escalator data is uploaded to the cloud platform through the data transmission module. The data obtained by the data collection module is uploaded to the gateway through the communication protocol. The gateway preprocesses and formats the escalator data, and temporarily stores the gateway data in the message agent through the securely encrypted network communication protocol. The message agent can decouple and asynchronously process the gateway data, and ensure that the data is not lost even in the event of network failure or server downtime, thereby improving the reliability of the system. At the same time, it can evenly distribute tasks to avoid overloading a single node, dynamically adjust the message processing rate according to the system load, and prevent network congestion. Therefore, the message agent mechanism is used to deal with the high concurrency problem caused by the large number of escalators. The server pulls and parses the data from the message agent, verifies the data integrity, and saves it to the database.

[0008] The data storage module is used to store various data such as escalator data and analysis results, and manage and organize the data. The data storage module consists of a main database and a cache database. The main database is responsible for persistent storage of data and ensures data security through measures such as user authentication and permission control. The cache database is used to deal with data access problems caused by large-scale escalator group monitoring data. The cache database resides in memory, providing very fast access speeds and significantly reducing data access latency. The data is temporarily stored in the cache library and then synchronized to the main database in batches on a regular basis, which reduces overhead while improving data writing efficiency and supports high concurrent access.

[0009] The data analysis module is used to diagnose the operating status of the escalator. The data analysis module accesses the real-time data of the escalator from the cache database, diagnoses the escalator status through the multi-dimensional data of the escalator, and stores the diagnosis results at the time of the fault in the cache database, which is then stored in the main database by the cache database for historical query by managers. The data analysis module can monitor the early minor faults of key components of the escalator, accurately locate the source of the fault before the fault expands to affect the component's original function, replace or repair the component, and promptly prevent the further development of the fault, resulting in component failure and subsequent safety accidents.

[0010] The user interface intuitively displays the health status of the escalator group and facilitates the management of the escalator group by relevant personnel. The main interface displays the overall status information of the escalator group, including the number of healthy escalators, the number of out-of-service escalators, the number of escalators under maintenance, and the health rate (the ratio of the number of faulty escalators to the total number of escalators). The escalators can be classified and managed through the multi-level interface. The escalator information level interface can query the real-time operating status of the escalator, as well as the real-time fault alarm information, and the historical fault information of the escalator can be queried. The maintenance personnel can quickly locate the escalator for repair based on the alarm information, and fill the maintenance results into the system through the user interface.

[0011] By adopting the above technical solution, the present invention has the following beneficial effects: The present invention can monitor the status of the escalator group in real time and upload the results to a cloud database, making it convenient for relevant personnel to perform centralized management. BRIEF DESCRIPTION OF THE DRAWINGS

[0012] In order to more clearly illustrate the specific implementation methods of the present invention or the technical solutions in the prior art, the drawings required for use in the specific implementation methods or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some implementation methods of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0013] Figure 1 This is a system structure diagram of the multi-dimensional data collection and management system for an escalator group of the present invention; Figure 2 It is a structural schematic diagram of the data collection module of the present invention; Figure 3 It is a flow chart of the method for multi-dimensional data collection and management system of escalator group of the present invention; Figure 4 This is the wiring diagram of the acquisition card of the present invention; Figure 5 It is a schematic diagram of the structure of the collection box casing of the present invention. DETAILED DESCRIPTION

[0014] The technical solution of the present invention will be described clearly and completely below in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0015] The specific implementation of the present invention is described in detail below in conjunction with the accompanying drawings. It should be understood that the specific implementation described here is only used to illustrate and explain the present invention, and is not used to limit the present invention.

[0016] Combination Figure 1-5 As shown, the multi-dimensional data collection and management system for escalator groups proposed in the present invention includes a data collection module, a data transmission module, a data storage module, a data analysis module and a user interface; the details are as follows: The data collection module is used to obtain the status data of the escalator. The data collection module is mainly composed of the collection system and the control cabinet system. The collection system obtains the escalator data through sensors. By installing various sensors at key locations of each escalator, multi-dimensional information such as vibration, displacement, temperature and sound of key components can be obtained. The types and installation locations of sensors are shown in Table 1. Connect the wiring terminals of the sensor to the collection card to obtain real-time data of the escalator. The wiring diagram of the collection card is shown in Figure 4 As shown, the temperature and vibration sensor is denoted as T&Vi, the vibration sensor is denoted as Vi, the infrared temperature sensor is denoted as ITi, the proximity sensor is denoted as P, and the ambient temperature sensor is denoted as ET, where represents the th sensor. Connect the terminals of each sensor to the acquisition card in the agreed order (as shown in Table 1 from left to right and from top to bottom), where T&V7 and T&V8 are redundant interfaces. The acquisition card is fixed inside the chassis, and the acquisition card chassis structure is as follows Figure 5 As shown, it is mainly used to protect the acquisition card and is fixed in the upper maintenance room of the escalator. The data of the escalator control cabinet is mainly obtained by the PLC of the control cabinet, including the running speed of the escalator, the liquid level of the liquid pump, the braking distance, and the current and voltage of the motor. The analog signal obtained by the sensor is recorded by the acquisition card at a set sampling frequency, and then converted into a digital signal by the A / D converter of the acquisition card. The control cabinet system obtains the running speed of the escalator, the current and voltage of the motor, the liquid level of the liquid pump, and the braking distance through the programmable logic controller (PLC).

[0017]

[0018] The escalator data is uploaded to the cloud platform through the data transmission module. The data obtained by the data collection module is uploaded to the gateway through the communication protocol. The gateway preprocesses and formats the escalator data, and temporarily stores the gateway data in the message agent through the securely encrypted network communication protocol. The message agent can decouple and asynchronously process the gateway data, and ensure that the data is not lost even in the event of network failure or server downtime, thereby improving the reliability of the system. At the same time, it can evenly distribute tasks to avoid overloading a single node, dynamically adjust the message processing rate according to the system load, and prevent network congestion. Therefore, the message agent mechanism is used to deal with the high concurrency problem caused by the large number of escalators. The server pulls and parses the data from the message agent, verifies the data integrity, and saves it to the database.

[0019] The multi-dimensional data of the escalator is uploaded to the cloud server through the data transmission module. The multi-dimensional data of the escalator obtained by the data collection module, that is, the acquisition system data and the control cabinet data, are uploaded to the gateway using the RS485 protocol and formatted at the gateway. Escalators usually appear in pairs, one going up and one going down, so each pair of escalators is divided into a logical group, and each logical group uploads the collected data to its own gateway to reduce the transmission loss caused by physical distance. Using EMQ X as a message broker, the formatted data of the gateway is transmitted to EMQ X through the Message Queuing Telemetry Transport (MQTT) protocol, and the data is uploaded to the cloud server through the Transmission Control Protocol (TCP) protocol.

[0020] The cloud server parses the data and verifies its integrity, and then stores the data in the cache database Redis. The data analysis module obtains the real-time monitoring data of each escalator from Redis. The data analysis module mainly consists of two parts: a mathematical model learned from the initial state data of the escalator and a classification model trained from the labeled escalator fault data. The real-time monitoring data of the escalator is first determined by the initial state model to see if there is an anomaly. Any data that deviates from the initial state model will be defined as an anomaly. The data defined as abnormal by the initial state model is input into the classification model to identify the type of escalator fault, and the identification result data is stored in Redis. The escalator status and analysis results in Redis are synchronized to the main database MongoDB in batches on a regular basis to store important data permanently.

[0021] The data storage module is used to store various data such as escalator data and analysis results, and manage and organize the data. The data storage module consists of a main database and a cache database. The main database is responsible for persistent storage of data and ensures data security through measures such as user authentication and permission control. The cache database is used to deal with data access problems caused by large-scale escalator group monitoring data. The cache database resides in memory, providing very fast access speeds and significantly reducing data access latency. The data is temporarily stored in the cache library and then synchronized to the main database in batches on a regular basis, which reduces overhead while improving data writing efficiency and supports high concurrent access.

[0022] The data analysis module is used to diagnose the operating status of the escalator. The data analysis module accesses the real-time data of the escalator from the cache database, diagnoses the escalator status through the multi-dimensional data of the escalator, and stores the diagnosis results at the time of the fault in the cache database, which is then stored in the main database by the cache database for historical query by managers. The data analysis module can monitor the early minor faults of key components of the escalator, accurately locate the source of the fault before the fault expands to affect the component's original function, replace or repair the component, and promptly prevent the further development of the fault, resulting in component failure and subsequent safety accidents.

[0023] The user interface intuitively displays the health status of the escalator group and facilitates the management of the escalator group by relevant personnel. The main interface displays the overall status information of the escalator group, including the number of healthy escalators, the number of out-of-service escalators, the number of escalators under maintenance, and the health rate (the ratio of the number of faulty escalators to the total number of escalators). The escalators can be classified and managed through the multi-level interface. The escalator information level interface can query the real-time operating status of the escalator, as well as the real-time fault alarm information, and the historical fault information of the escalator can be queried. The maintenance personnel can quickly locate the escalator for repair based on the alarm information, and fill the maintenance results into the system through the user interface.

[0024] The user interface displays the real-time status information of the escalator group to the management personnel. The main interface displays the overall information of the escalator group, such as the number of healthy escalators, the number of out-of-service escalators, the number of escalators under maintenance, and the health rate (the ratio of the number of faulty escalators to the total number of escalators). The management personnel can intuitively understand the real-time status of the escalator group and grasp the overall status. By clicking on the multi-level interface, you can understand the real-time status of each escalator and detailed alarm information. Maintenance personnel can quickly locate the fault and perform corresponding maintenance, and fill in the maintenance results into the system. The real-time data of the escalator used for interface display is mainly obtained from Redis, and the data for users to query historical faults is obtained from MongoDB.

[0025] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein with equivalents. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. Multi-dimensional data collection and management system for escalator groups, characterized by: It includes a data collection module, a data transmission module, a data storage module, a data analysis module and a user interface; wherein, The data collection module is used to obtain the status data of the escalator. The data collection module is composed of a collection system and a control cabinet system. The collection system obtains the escalator data through sensors. By installing various sensors at key locations of each escalator, the vibration, displacement, temperature and sound dimension information of key components are obtained. The analog signal obtained by the sensor is recorded by the collection card at a set sampling frequency, and then converted into a digital signal through the A / D converter of the collection card. The control cabinet system obtains the running speed of the escalator, the current and voltage of the motor, the liquid level of the liquid pump and the braking distance data through the programmable logic controller. The escalator data is uploaded to the cloud platform through the data transmission module; the data obtained by the data collection module is uploaded to the gateway through the communication protocol, the gateway pre-processes and formats the escalator data, and temporarily stores the gateway data in the message agent through the securely encrypted network communication protocol; the message agent decouples and asynchronously processes the gateway data, and ensures that the data is not lost even in the event of a network failure or server downtime; the server pulls and parses the data from the message agent, verifies the data integrity and saves it in the database; The data storage module is used to store escalator data, analyze results, and manage and organize data. The data storage module consists of a main database and a cache database. The main database is responsible for persistent storage of data and ensures data security through user authentication and authority control measures. The cache database is used to address data access issues caused by large-scale escalator group monitoring data. The cache database resides in memory. Data is temporarily stored in the cache library and then synchronized to the main database in batches on a regular basis. The data analysis module is used to diagnose the running status of the escalator; the data analysis module accesses the real-time data of the escalator from the cache database, diagnoses the escalator status through the multi-dimensional data of the escalator, and stores the diagnosis results of the fault in the cache database, which are then stored in the main database by the cache database for historical query by the management personnel; The user interface is used to intuitively display the health status of the escalator group and facilitate relevant personnel to manage the escalator group.

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