Intelligent monitoring system and method for passenger ropeway environment

Abstract

The invention discloses a passenger transport cableway environment intelligent monitoring system and method, mainly relates to the technical field of passenger transport cableway monitoring, and is used for solving the problems that an existing monitoring means is relatively single, and potential safety hazards are difficult to warn in advance. Comprising the following steps: acquiring collected data uploaded by a sensor through a network line; based on an MQTT protocol theme, determining a specific simulation position of the acquired data mapped to the three-dimensional virtual model of the passenger ropeway; wherein the MQTT protocol theme, the specific simulation position and the preset arrangement position have a corresponding relation; displaying the three-dimensional virtual model through a preset virtual model interface; wherein the three-dimensional virtual model adjusts the display color of the specific simulation position according to the numerical range of the collected data; inputting the collected data into a preset trained neural network algorithm to obtain a health estimation state of each preset arrangement position of the passenger ropeway; and when the health estimation state is a preset risk state, generating an alarm instruction to a preset maintenance terminal.

Description

Technical Field

[0001] The present application relates to the field of passenger ropeway monitoring technology, and in particular to a passenger ropeway environment intelligent monitoring system and method. Background Art

[0002] With the rapid development of the Internet of Things and digital twin technology, the intelligent monitoring of the environment of special equipment for cultural tourism has ushered in an unprecedented opportunity for change. Through wireless sensor networks, intelligent device interconnection and cloud computing platforms, the Internet of Things technology has achieved comprehensive perception, real-time transmission and intelligent processing of information in the physical world, providing efficient and accurate data support for the cultural tourism industry. Digital twin technology further integrates the physical world with the digital world, and by building a virtual model that corresponds to the real world, it has achieved a full range of simulation, analysis and optimization of the operating environment of special equipment for cultural tourism.

[0003] In the cultural and tourism industry, special equipment such as ropeways, cable cars, and sightseeing elevators are important tools for connecting tourists to scenic spots. Their safe and stable operation is directly related to the safety of life and property of tourists and the quality of their travel experience. However, the traditional environmental monitoring method of special equipment (direct monitoring through the collection of data from sensors) has many disadvantages, such as relatively single monitoring methods and difficulty in early warning of safety hazards. These problems not only increase the cost of operation and maintenance, but also affect the overall image and sustainable development of the cultural and tourism industry. Therefore, there is an urgent need for an intelligent monitoring system and method for the passenger ropeway environment to solve the problem that the above-mentioned monitoring methods are relatively single and safety hazards are difficult to warn in advance. Summary of the invention

[0004] In view of the above-mentioned deficiencies in the prior art, the present application provides a passenger ropeway environment intelligent monitoring system and method to solve the problem that the existing monitoring means are relatively single and safety hazards are difficult to warn in advance.

[0005] In a first aspect, the present application provides a passenger ropeway environment intelligent monitoring system, the system comprising: A sensor is provided at a preset position of the passenger ropeway, and an MQTT (Message Queuing Telemetry Transport) protocol unit is preset inside the sensor; a mobile relay device is connected to the sensor, and is used to receive the collected data with the MQTT protocol topic collected by the sensor, and dynamically select a network path according to the multi-protocol label switching technology; a central processor is used to obtain the collected data uploaded by the sensor through the network route; based on the MQTT protocol topic, determine the specific simulation position in the three-dimensional virtual model of the passenger ropeway to which the collected data is mapped; wherein there is a corresponding relationship between the MQTT protocol topic, the specific simulation position, and the preset layout position; the three-dimensional virtual model is displayed through the preset virtual model interface; wherein the three-dimensional virtual model adjusts the display color of the specific simulation position according to the numerical range of the collected data; at the same time, the collected data is input into the preset trained neural network algorithm to obtain the health estimation status of each preset layout position of the passenger ropeway; when there is a health estimation status that is a preset risk status, an alarm instruction is generated to the preset maintenance terminal.

[0006] In one implementation of the present application, the sensor includes at least a temperature and humidity sensor, a wind speed and direction sensor, a rain and snow sensor, a load sensor, a speed sensor, a cable tension sensor, a vibration sensor, a stress and strain sensor, and a human detection sensor.

[0007] In one implementation of the present application, a temperature and humidity sensor is arranged in the cable car of a passenger cableway, a load sensor is arranged at the bottom of the cable car, a human body detection sensor is installed at the car entrance of the passenger cableway, a wind speed and direction sensor is installed at a preset wind direction arrangement position along the cableway, a rain and snow sensor is installed at a preset rain and snow arrangement position along the cableway, a cable tension sensor is arranged at a preset connection point of the cableway cable, a vibration sensor is installed at a preset vibration position of the cableway, and a stress and strain sensor is installed at a preset load-bearing part of the cableway.

[0008] In one implementation of the present application, the mobile relay device includes a dynamic selection unit for obtaining the network status of the current network path; when the network status is a fault, the multi-protocol label switching technology is used to dynamically select the network path.

[0009] In one implementation of the present application, the MQTT protocol unit is used to publish the collected data according to the MQTT topic set in the current sensor; at the same time, TLS (Transport Layer Security) / SSL (Secure Sockets Layer) encryption technology is used to encrypt the collected data; at the same time, a QoS (Quality of Service) guarantee mechanism is used to transmit the collected data.

[0010] In one implementation of the present application, the sensor at the preset location of the passenger ropeway includes a data retransmission unit, which is used to retransmit the collected data when it is detected that the collected data fails to be sent or no confirmation receipt is received; the central processing unit includes a receipt unit, which is used to send a confirmation receipt to the sensor when the collected data is received.

[0011] In one implementation of the present application, the central processing unit includes a data processing unit, After receiving the collected data, it is used to detect whether the data packet corresponding to the collected data is complete and whether the timestamps involved are continuous; when the data packet is complete and the timestamps are continuous, it is determined that the data verification is successful; after the data verification is successful, the statistical method Z-score is used to identify and eliminate abnormal data points in the collected data, and then the timestamp is used as the key and the collected data is used as the value to store it in a preset hash table; the normalization method is used to normalize the collected data in the preset hash table; the normalized collected data is stored in the MongoDB database.

[0012] In one implementation of the present application, the central processing unit includes a three-dimensional virtual model obtaining unit. It is used to obtain a three-dimensional virtual model through built-in three-dimensional modeling software; wherein the three-dimensional virtual model includes the support, wheel set, cable, car and drive system of the current passenger ropeway.

[0013] In a second aspect, the present application provides a method for intelligent monitoring of a passenger ropeway environment, the method comprising: The sensors at the preset positions of the passenger ropeway upload the collected data with the MQTT protocol topic; the collected data collected by the sensors are received through the mobile relay device, and the network path is dynamically selected according to the multi-protocol label switching technology; the collected data uploaded by the sensor is transmitted to the central processor through the network route; based on the MQTT protocol topic, the collected data is mapped to the specific simulation position in the three-dimensional virtual model of the passenger ropeway; wherein, there is a corresponding relationship between the MQTT protocol topic, the specific simulation position, and the preset layout position; the three-dimensional virtual model is displayed through the preset virtual model interface; wherein, the three-dimensional virtual model adjusts the display color of the specific simulation position according to the numerical range of the collected data; at the same time, the collected data is input into the preset trained neural network algorithm to obtain the health estimation status of each preset layout position of the passenger ropeway; when there is a health estimation status that is a preset risk status, an alarm instruction is generated to the preset maintenance terminal.

[0014] In one implementation of the present application, the sensor at the preset position of the passenger ropeway uploads the collected data with the MQTT protocol topic, specifically including: According to the MQTT topic set in the current sensor, the collected data is published according to the MQTT topic; at the same time, TLS / SSL encryption technology is used to encrypt the collected data; at the same time, QoS guarantee mechanism is used to transmit the collected data.

[0015] Those skilled in the art can understand that the present application has at least the following beneficial effects: This application arranges sensors at preset positions of the passenger ropeway and has built-in MQTT protocol units. The MQTT protocol can effectively handle a large number of concurrent connections, which is suitable for the data collection needs of multiple sensors and multiple controllers in the ropeway environment, and provides a basis for subsequent data collection and processing; the mobile relay device uses multi-protocol label switching technology to dynamically select the optimal network path, realizing dynamic selection and intelligent switching of network paths; through the preset virtual model interface, it provides users with an intuitive and easy-to-use interactive platform, allowing users to easily view and analyze the environmental conditions of the passenger ropeway. In addition, by using neural network algorithms to analyze and process the collected data, the system can estimate the health status of each preset layout position of the passenger ropeway, solving the problem of difficulty in early warning of safety hazards. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Some embodiments of the present disclosure are described below with reference to the accompanying drawings, in which: Figure 1 It is a schematic diagram of the internal structure of an intelligent monitoring system for passenger ropeway environment provided in an embodiment of the present application.

[0017] Figure 2 It is a flow chart of a method for intelligent monitoring of a passenger ropeway environment provided in an embodiment of the present application. DETAILED DESCRIPTION

[0018] It should be understood by those skilled in the art that the embodiments described below are only preferred embodiments of the present disclosure, and do not mean that the present disclosure can only be implemented through the preferred embodiments. The preferred embodiments are only used to explain the technical principles of the present disclosure, and are not used to limit the protection scope of the present disclosure. Based on the preferred embodiments provided by the present disclosure, all other embodiments obtained by ordinary technicians in this field without creative work should still fall within the protection scope of the present disclosure.

[0019] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.

[0020] The technical solution proposed in the embodiments of the present application is described in detail below with reference to the accompanying drawings.

[0021] This application Figure 1 The present invention provides an intelligent monitoring system for passenger ropeway environment. Figure 1 As shown, the system provided in the embodiment of the present application mainly includes: The passenger ropeway has a sensor 110 at a preset location, and the sensor 110 has an MQTT protocol unit preset inside; It should be noted that the sensor 110 includes at least a temperature and humidity sensor 110 , a wind speed and direction sensor 110 , a rain and snow sensor 110 , a load sensor 110 , a speed sensor 110 , a cable tension sensor 110 , a vibration sensor 110 , a stress and strain sensor 110 , and a human body detection sensor 110 .

[0022] Specifically, a temperature and humidity sensor 110 is arranged in the cable car of the passenger cableway, a load sensor 110 is installed at the bottom of the cable car, a human body detection sensor 110 is installed at the car entrance of the passenger cableway, a wind speed and direction sensor 110 is installed at a preset wind direction arrangement position along the cableway, a rain and snow sensor 110 is installed at a preset rain and snow arrangement position along the cableway, a cable tension sensor 110 is arranged at a preset connection point of the cableway cable, a vibration sensor 110 is installed at a preset vibration position of the cableway, and a stress and strain sensor 110 is installed at a preset load-bearing part of the cableway.

[0023] It should be noted that the MQTT protocol unit is used to publish the collected data according to the MQTT topic set in the current sensor 110 (different MQTT topics are designed for different data types in the cableway environment, such as temperature, humidity, wind speed, etc., so that the device side can publish data by topic and the central processor 130 can subscribe to data by topic); at the same time, TLS / SSL encryption technology is used to encrypt the collected data; at the same time, a QoS guarantee mechanism is used to transmit the collected data (specifically, a higher QoS level is set in the MQTT protocol to ensure that the message is delivered at least once. The QoS guarantee mechanism can reduce message loss due to network congestion or failure).

[0024] In addition, the present application can define a unified message format, including a message header (subject, message ID, etc.) and a message body (actual environmental data). The message body adopts an easy-to-parse JSON format to facilitate processing by the central processor 130.

[0025] In addition, the sensor 110 includes a data retransmission mechanism, which automatically retransmits the data when it detects that the data transmission fails or the confirmation receipt is not received. The number of retransmissions and the interval time can be dynamically adjusted according to the network conditions.

[0026] As an example, the sensor 110 at the preset arrangement position of the passenger ropeway includes a data retransmission unit, which is used to retransmit the collected data when it is detected that the collected data fails to be sent or no confirmation receipt is received; The mobile relay device 120 is connected to the sensor 110 and is used to receive the collected data with the MQTT protocol topic collected by the sensor 110 and dynamically select a network path according to the multi-protocol label switching technology.

[0027] Specifically, mobile relay devices 120 (drones, mobile base station vehicles, etc.) are deployed along the cableway to form multiple communication paths. (Dynamic selection unit) intelligently selects the best path for data transmission according to the real-time network status, and immediately switches to the backup path once the current path fails or the network quality decreases.

[0028] The central processor 130 is used to obtain the collected data uploaded by the sensor 110 through the network route; based on the MQTT protocol topic, determine the specific simulation position in the three-dimensional virtual model of the passenger ropeway to which the collected data is mapped; wherein there is a corresponding relationship between the MQTT protocol topic, the specific simulation position, and the preset layout position; display the three-dimensional virtual model through the preset virtual model interface; wherein the three-dimensional virtual model adjusts the display color of the specific simulation position according to the numerical range of the collected data; at the same time, the collected data is input into the preset trained neural network algorithm to obtain the health estimation status of each preset layout position of the passenger ropeway; when the health estimation status is a preset risk status, an alarm instruction is generated to the preset maintenance terminal.

[0029] It should be noted that the present application displays sensor 110 data in real time in the virtual model interface, such as temperature, humidity, wind speed, load, speed, etc. In addition, visualization elements (color bars, digital labels, dynamic charts) can be designed in the cableway three-dimensional virtual model interface to intuitively display sensor 110 data; according to the real-time changes in sensor 110 data, the cableway status can be intuitively presented through color changes, numerical display, etc. In addition, different colors can be used to indicate the health of the data currently transmitted back by each sensor 110; in addition, digital labels can be used to display the specific values ​​of data with intuitive meanings such as load and speed. In addition, interactive functions such as zooming, rotating, and panning can be provided to users so that users can observe the cableway status from different angles and obtain more detailed information to optimize the user experience.

[0030] In order to implement the data retransmission and confirmation mechanism, the central processor 130 includes a receipt unit, which is used to send a confirmation receipt to the sensor 110 when receiving the collected data.

[0031] In addition, in order to facilitate subsequent processing, the present application may perform data preprocessing on the original collected data, and the data preprocessing process may be specifically as follows: After receiving the collected data, the data processing unit of the central processor 130 detects whether the data packet corresponding to the collected data is complete and whether the timestamps involved are continuous; when the data packet is complete and the timestamps are continuous, it is determined that the data verification is successful; after the data verification is successful, the statistical method Z-score is used to identify and eliminate abnormal data points in the collected data, and then the timestamp is used as the key and the collected data is used as the value to store it in a preset hash table; the normalization method is used to normalize the collected data in the preset hash table; the normalized collected data is stored in the MongoDB database.

[0032] In addition, the CPU 130 includes a three-dimensional virtual model obtaining unit. It is used to obtain a three-dimensional virtual model through built-in three-dimensional modeling software; wherein the three-dimensional virtual model includes the support, wheel set, cable, car and drive system of the current passenger ropeway.

[0033] It should be noted that the process of building a three-dimensional virtual model can be: According to each design sketch, the key information of the cableway is input, and the cableway modeling can be carried out through the general CAD. In other words, the digital twin model can be automatically constructed through the key information of the general model of the cableway drawn by CAD.

[0034] Key Information: 1. Support (tower) information: support type (single column, double column, multi-column), support height, width and depth dimensional parameters, support material and texture (if necessary), and three-dimensional coordinates of the support position in the cableway line.

[0035] 2. Wheel set information: type of wheelset (fixed wheelset, movable wheelset), number, diameter and material of wheels, type and size of bearings, position coordinates and angle of wheelset in the cableway line.

[0036] 3. Cable information: type of cable (load-bearing cable, traction cable, stabilizing cable), cable diameter, length and material, cable spiral shape parameters (pitch, diameter change), cable tension effect and elastic modulus (used to simulate physical behavior).

[0037] 4. Carriage information: the type of carriage (passenger carriage, freight carriage) and size (length, width, height), the external outline and internal details of the carriage (doors, windows, seats), the material and texture of the carriage (metal, glass, plastic), the initial position coordinates of the carriage in the cableway line and the operating status (stationary, moving).

[0038] 5. Drive system information: type of drive system (motor drive, hydraulic drive), model and size of drive components (motor, reducer, transmission device), connection method and layout between drive components, power and pipeline connection information of the drive system (wires, pipelines).

[0039] In addition, a solution for training a neural network algorithm may be to use the collected data and the estimated health status of each preset arrangement position marked as sample data to train the neural network algorithm, thereby obtaining a trained neural network algorithm.

[0040] In addition, the embodiment provides a method for intelligent monitoring of passenger ropeway environment, such as Figure 2 As shown, the method provided in the embodiment of the present application mainly includes the following steps: Step 210: Upload the collected data with the MQTT protocol topic through the sensors at the preset positions of the passenger ropeway.

[0041] Specifically, according to the MQTT topic set in the current sensor, the collected data is published according to the MQTT topic; at the same time, TLS / SSL encryption technology is used to encrypt the collected data; at the same time, a QoS guarantee mechanism is used to transmit the collected data.

[0042] Step 220: Receive the collected data from the sensor through the mobile relay device, and dynamically select a network path based on the multi-protocol label switching technology.

[0043] Step 230, transmitting the collected data uploaded by the sensor to the central processor through the network route; determining the specific simulation position in the three-dimensional virtual model of the passenger ropeway to which the collected data is mapped based on the MQTT protocol topic; displaying the three-dimensional virtual model through the preset virtual model interface; and inputting the collected data into the preset trained neural network algorithm to obtain the health estimation status of each preset layout position of the passenger ropeway; when the health estimation status is a preset risk status, generating an alarm instruction to the preset maintenance terminal.

[0044] Among them, there is a corresponding relationship between the MQTT protocol topic, the specific simulation location, and the preset layout location; among them, the three-dimensional virtual model adjusts the display color of the specific simulation location according to the numerical range of the collected data.

[0045] So far, the technical solutions of the present disclosure have been described in combination with the above multiple embodiments, but it is easy for those skilled in the art to understand that the protection scope of the present disclosure is not limited to these specific embodiments. Without departing from the technical principles of the present disclosure, those skilled in the art can split and combine the technical solutions in the above-mentioned various embodiments, and can also make equivalent changes or replacements to the relevant technical features. Any changes, equivalent replacements, improvements, etc. made within the technical concept and / or technical principle of the present disclosure will fall within the protection scope of the present disclosure.

Claims

1. A passenger ropeway environment intelligent monitoring system, characterized in that: The system comprises: The passenger ropeway has sensors at preset locations, and the sensors have MQTT protocol units preset inside; A mobile relay device is connected to the sensor, and is used to receive the collected data with the MQTT protocol topic collected by the sensor, and dynamically select a network path according to the multi-protocol label switching technology; A central processing unit is used to obtain collected data uploaded by sensors through a network route; based on the MQTT protocol topic, determine the specific simulation position in the three-dimensional virtual model of the passenger ropeway to which the collected data is mapped; wherein there is a corresponding relationship between the MQTT protocol topic, the specific simulation position, and the preset layout position; display the three-dimensional virtual model through a preset virtual model interface; wherein the three-dimensional virtual model adjusts the display color of the specific simulation position according to the numerical range of the collected data; at the same time, the collected data is input into a preset trained neural network algorithm to obtain the health estimation status of each preset layout position of the passenger ropeway; when there is a health estimation status that is a preset risk status, an alarm instruction is generated to a preset maintenance terminal.

2. The intelligent passenger ropeway environment monitoring system according to claim 1 is characterized in that: The sensors include at least temperature and humidity sensors, wind speed and direction sensors, rain and snow sensors, load sensors, speed sensors, cable tension sensors, vibration sensors, stress and strain sensors, and human body detection sensors.

3. The intelligent passenger ropeway environment monitoring system according to claim 2 is characterized in that: Temperature and humidity sensors are arranged in the cableway car of the passenger cableway, load sensors are installed at the bottom of the cableway car, human body detection sensors are installed at the car entrance of the passenger cableway, wind speed and direction sensors are installed at the preset wind direction layout positions along the cableway, rain and snow sensors are installed at the preset rain and snow layout positions along the cableway, cable tension sensors are arranged at the preset connection points of the cableway cables, vibration sensors are installed at the preset vibration positions of the cableway, and stress and strain sensors are installed at the preset load-bearing parts of the cableway.

4. The intelligent passenger ropeway environment monitoring system according to claim 1 is characterized in that: The mobile relay device includes a dynamic selection unit for obtaining the network status of the current network path; when the network status is a fault, the multi-protocol label switching technology is used to dynamically select the network path.

5. The intelligent passenger ropeway environment monitoring system according to claim 1 is characterized in that: The MQTT protocol unit is used to publish the collected data according to the MQTT topic set in the current sensor; at the same time, TLS / SSL encryption technology is used to encrypt the collected data; at the same time, QoS guarantee mechanism is used to transmit the collected data.

6. The intelligent passenger ropeway environment monitoring system according to claim 1 is characterized in that: The sensors at the preset positions of the passenger ropeway include a data retransmission unit, Used to retransmit collected data when it is detected that the collected data fails to be sent or no confirmation receipt is received; The central processing unit includes a receipt unit, Used to send a confirmation receipt to the sensor when the collected data is received.

7. The intelligent passenger ropeway environment monitoring system according to claim 1 is characterized in that: The CPU includes a data processing unit, After receiving the collected data, it is used to detect whether the data packet corresponding to the collected data is complete and whether the timestamps involved are continuous; When the data packet is complete and the timestamps are continuous, it is determined that the data verification is successful; After the data verification is successful, the statistical method Z-score is used to identify and remove abnormal data points in the collected data, and then the timestamp is used as the key and the collected data is used as the value to store it in the preset hash table; The collected data in the preset hash table is normalized by using a normalization method; The normalized collected data is stored in the MongoDB database.

8. The intelligent passenger ropeway environment monitoring system according to claim 1 is characterized in that: The central processing unit includes a three-dimensional virtual model acquisition unit, It is used to obtain a three-dimensional virtual model through built-in three-dimensional modeling software; wherein the three-dimensional virtual model includes the support, wheel set, cable, car and drive system of the current passenger ropeway.

9. A passenger ropeway environment intelligent monitoring method, characterized in that: The method comprises: Upload the collected data with MQTT protocol topic through sensors at preset locations of the passenger ropeway; Receive the collected data from the sensor through the mobile relay device, and dynamically select the network path based on the multi-protocol label switching technology; The collected data uploaded by the sensor is transmitted to the central processing unit through a network route; based on the MQTT protocol topic, the collected data is mapped to a specific simulation position in the three-dimensional virtual model of the passenger ropeway; wherein, there is a corresponding relationship between the MQTT protocol topic, the specific simulation position, and the preset layout position; the three-dimensional virtual model is displayed through a preset virtual model interface; wherein, the three-dimensional virtual model adjusts the display color of the specific simulation position according to the numerical range of the collected data; at the same time, the collected data is input into a preset trained neural network algorithm to obtain the health estimation status of each preset layout position of the passenger ropeway; when the health estimation status is a preset risk status, an alarm instruction is generated to a preset maintenance terminal.

10. The intelligent monitoring method for passenger ropeway environment according to claim 9, characterized in that: The sensors at the preset positions of the passenger ropeway upload the collected data with the MQTT protocol topic, including: According to the MQTT topic set in the current sensor, the collected data is published according to the MQTT topic; at the same time, TLS / SSL encryption technology is used to encrypt the collected data; at the same time, QoS guarantee mechanism is used to transmit the collected data.

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