A slope monitoring and early warning system and method based on rapid device access

Abstract

The present invention discloses a slope monitoring and early warning system and method based on rapid device access, including a monitoring sensor, an Internet of Things gateway, an early warning broadcast device, a video monitoring device, and a slope monitoring and early warning system. The monitoring sensor has a network communication function, and the monitoring sensor and the Internet of Things gateway are connected to the slope monitoring and early warning system through network communication. The alarm signal output end of the slope monitoring and early warning system is connected to the early warning broadcast device, and the signal output end of the video monitoring device is connected to the slope monitoring and early warning system. By providing the data configuration function of the Internet of Things device, the device access capability is enhanced, and different types of monitoring sensor devices can be accessed at any time according to the scene requirements without the need for secondary development and deployment. The system uses SMS + APP + video monitoring equipment + early warning broadcast equipment to provide timely early warning alarms, so that relevant personnel can grasp the slope conditions in a timely manner and notify on-site personnel to avoid danger and evacuate in a timely manner.

Description

Technical Field

[0001] The present invention relates to the technical field of geological disaster early warning technology, and in particular to a slope monitoring and early warning system and method based on rapid device access. Background Art

[0002] Slope problems are more complicated in engineering construction. With the development of society, the levels involved are also more complicated. For example, water conservancy projects, mining projects, transportation projects, etc. can all cause slope problems. Due to their special physical, chemical and mechanical properties, slopes are affected and threatened by natural disasters and human factors. In order to ensure the safety of personnel and equipment in the area, it is necessary to conduct online automatic monitoring and early warning of slopes to achieve disaster prevention and mitigation.

[0003] Existing slope monitoring uses Beidou GNSS, infrared scanning, georesistivity, microwave radar detection, fiber optic sensing and other technical means to grasp the slope deformation situation, and can send out early warning information to notify relevant personnel through emails, text messages, etc., but does not have the ability to remotely view online, promptly alarm on site, and flexibly add monitoring equipment. Summary of the invention

[0004] The purpose of the present invention is to provide a slope monitoring and early warning system and method based on rapid device access.

[0005] To achieve the above object, the present invention is implemented according to the following technical solutions:

[0006] The slope monitoring and early warning system based on rapid device access of the present invention includes a monitoring sensor, an Internet of Things gateway, an early warning broadcast device, a video monitoring device and a slope monitoring and early warning system. The monitoring sensor has a network communication function, and the monitoring sensor and the Internet of Things gateway are connected to the slope monitoring and early warning system through network communication. The alarm signal output end of the slope monitoring and early warning system is connected to the early warning broadcast device, and the signal output end of the video monitoring device is connected to the slope monitoring and early warning system.

[0007] Furthermore, the monitoring sensors include crack monitoring sensors, stress field monitoring sensors, internal deformation monitoring sensors, posture monitoring sensors, and surface stress monitoring sensors. The Internet of Things gateway realizes the functions of receiving and reporting monitoring sensor data, and receiving and issuing slope monitoring and early warning system command data; the early warning broadcasting equipment can receive broadcast content instructions issued by the slope monitoring system, and broadcast in a loop according to the frequency rules specified by the slope monitoring system. The video monitoring equipment realizes the function of monitoring the intrusion of personnel into the designated defense zone. When personnel enter or stay in the dangerous area, an alarm message is sent to the slope monitoring system.

[0008] Specifically, the slope monitoring and early warning system includes a device registration module, a data processing module, an online monitoring module, an early warning notification module and a mobile APP.

[0009] The early warning method of the slope monitoring and early warning system based on rapid device access of the present invention comprises the following steps:

[0010] S1: The device registration module realizes fast access of IoT devices by uniformly configuring access protocols, parsing rules, and device models, and maintains added devices, including monitoring sensors, IoT gateways, early warning broadcasting equipment, and video surveillance equipment;

[0011] S2: The data processing module accesses the real-time data of the hardware device, synchronizes the device information and device control, analyzes and cleans the received real-time data, establishes a data model, provides data calculation functions, and provides data support for the online monitoring module and the early warning notification module;

[0012] S3: The online monitoring module obtains equipment statistical data, real-time monitoring data, change trend data, and hidden danger point data content in the data processing module, and provides real-time warning display and equipment point location, statistical information, model preview, and video monitoring capabilities;

[0013] S4: The early warning notification module receives the alarm data from the data processing module and simultaneously performs scene linkage with the online monitoring module, and notifies personnel to evacuate in real time through message push and alarm display for landslide, slope cracks, and slope top collapse disasters;

[0014] S5: The mobile APP accesses real-time monitoring data and alarm data to realize real-time video monitoring, equipment status statistics, and equipment status monitoring. It uses videos and maps to display alarm points in the early warning display module, and realizes the APP one-click triggering broadcast notification function.

[0015] The beneficial effects of the present invention are:

[0016] The present invention is a slope monitoring and early warning system and method based on rapid device access. Compared with the prior art, the present invention has the following technical effects:

[0017] 1) Convenience advantage

[0018] By providing IoT device data configuration functions, the device access capability is enhanced. Different types of monitoring sensor devices can be connected at any time according to scenario requirements without the need for secondary development and deployment.

[0019] 2) Advantage of timely warning

[0020] The system provides timely warning alarms through SMS + APP + video surveillance equipment + early warning broadcasting equipment, so that relevant personnel can grasp the slope conditions in time and notify on-site personnel to avoid danger in time. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 It is a schematic diagram of data flow of the hardware part of the present invention;

[0022] Figure 2 It is a schematic diagram of the composition of the sensing terminal device of the present invention;

[0023] Figure 3 It is a schematic diagram of the composition of the slope monitoring and early warning system of the present invention;

[0024] Figure 4 It is the overall flow chart of the PC end of the slope monitoring and early warning system of the present invention;

[0025] Figure 5 It is a flow chart of the device registration module of the present invention;

[0026] Figure 6 It is a flow chart of the data processing module of the present invention;

[0027] Figure 7 It is a flow chart of the online monitoring module of the present invention;

[0028] Figure 8 It is a flow chart of the early warning notification module of the present invention;

[0029] Fig. 9 It is the flow chart of the mobile APP of the present invention. DETAILED DESCRIPTION

[0030] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments. The illustrative embodiments and descriptions of the present invention are used to explain the present invention but are not intended to limit the present invention.

[0031] like Figure 1 , 2 As shown: The slope monitoring and early warning system based on rapid device access of the present invention includes a monitoring sensor, an Internet of Things gateway, an early warning broadcast device, a video monitoring device and a slope monitoring and early warning system. The monitoring sensor has a network communication function, and the monitoring sensor and the Internet of Things gateway are connected to the slope monitoring and early warning system through network communication. The alarm signal output end of the slope monitoring and early warning system is connected to the early warning broadcast device, and the signal output end of the video monitoring device is connected to the slope monitoring and early warning system.

[0032] Furthermore, the monitoring sensors include crack monitoring sensors, stress field monitoring sensors, internal deformation monitoring sensors, posture monitoring sensors, and surface stress monitoring sensors. The Internet of Things gateway realizes the functions of receiving and reporting monitoring sensor data, and receiving and issuing slope monitoring and early warning system command data; the early warning broadcasting equipment can receive broadcast content instructions issued by the slope monitoring system, and broadcast in a loop according to the frequency rules specified by the slope monitoring system. The video monitoring equipment realizes the function of monitoring the intrusion of personnel into the designated defense zone. When personnel enter or stay in the dangerous area, an alarm message is sent to the slope monitoring system.

[0033] 1) Various monitoring sensors

[0034] a. Select the corresponding type of sensor equipment for installation according to the slope geology and regional conditions;

[0035] b. Sensor equipment with network communication function reports real-time monitoring data according to specified frequency rules;

[0036] c. Sensors without network communication functions report real-time monitoring data through the IoT gateway according to the specified frequency rules;

[0037] d. Set the data reporting frequency according to the frequency rules issued by the system.

[0038] 2) IoT Gateway

[0039] a. Realize the data receiving and reporting functions of each sensor;

[0040] b. Realize the functions of receiving and sending system instruction data.

[0041] 3) Early warning broadcasting equipment

[0042] a. Realize the broadcast content receiving function and be able to receive the broadcast content instructions issued by the slope monitoring system;

[0043] b. Realize the broadcast warning function in multiple cyclic modes, and perform cyclic broadcasting according to the frequency rules specified by the slope monitoring system.

[0044] 4) Video surveillance equipment

[0045] a. Realize the function of monitoring the intrusion of personnel in the designated defense zone. When someone enters or stays in the dangerous area, an alarm message will be sent to the slope monitoring system.

[0046] like Figure 3 , 4 As shown: the slope monitoring and early warning system includes an equipment registration module, a data processing module, an online monitoring module, an early warning notification module and a mobile APP.

[0047] The early warning method of the slope monitoring and early warning system based on rapid device access of the present invention comprises the following steps:

[0048] S1: The device registration module realizes fast access of IoT devices by uniformly configuring access protocols, parsing rules, and device models, and maintains added devices, including monitoring sensors, IoT gateways, early warning broadcasting equipment, and video surveillance equipment;

[0049] S2: The data processing module accesses the real-time data of the hardware device, synchronizes the device information and device control, analyzes and cleans the received real-time data, establishes a data model, provides data calculation functions, and provides data support for the online monitoring module and the early warning notification module;

[0050] S3: The online monitoring module obtains equipment statistical data, real-time monitoring data, change trend data, and hidden danger point data content in the data processing module, and provides real-time warning display and equipment point location, statistical information, model preview, and video monitoring capabilities;

[0051] S4: The early warning notification module receives the alarm data from the data processing module and simultaneously performs scene linkage with the online monitoring module, and notifies personnel to evacuate in real time through message push and alarm display for landslide, slope cracks, and slope top collapse disasters;

[0052] S5: The mobile APP accesses real-time monitoring data and alarm data to realize real-time video monitoring, equipment status statistics, and equipment status monitoring. It uses videos and maps to display alarm points in the early warning display module, and realizes the APP one-click triggering broadcast notification function.

[0053] like Figure 5 As shown: The workflow of the device registration module mainly includes product registration, rule arrangement, threshold setting, product model configuration, device access, etc., which provide basic services for the data processing module and the early warning notification module.

[0054] The device registration module realizes rapid access to IoT devices by uniformly configuring access protocols, parsing rules, device models, etc., while maintaining added devices, such as various monitoring sensors, IoT gateways, early warning broadcast equipment, video surveillance equipment and other hardware devices.

[0055] a. Implement product registration, including product classification, new product addition, protocol configuration, object model, rule arrangement, threshold setting and other functions, and provide basic configuration for device access and data transmission.

[0056] b. Implement product classification management and distinguish products with similar functions. Include product classification name and description information.

[0057] c. To add new products, new products need to be associated with product categories. Under each product, a collection of devices with the same characteristics and rules is maintained. These devices can be managed in a unified manner, including basic information such as product images, product names, product types, protocol configurations, object models, parsing rules, alarm thresholds, etc.

[0058] d. Implement protocol configuration, including common IoT protocols such as MQTT, CoAP, TCP, HTTP, LwM2M, etc. Use the drop-down method to select the device data transmission protocol.

[0059] e. Implement the physical model. The physical model is a digital abstract description of the device. The device information and device parameters are associated through data mapping. The physical model contains three dimensions: attributes, services, and events. Attributes are used to describe the dynamic characteristics of the device, such as operating status, read and set requests, etc. Services represent the ability of the device to be called externally, such as broadcast device early warning calls. Events represent the information uploaded by the device, such as monitoring data, fault information, etc. Provide basic capabilities for data center storage and command delivery.

[0060] f. Implement rule arrangement. Rule arrangement is used to define data processing rules between devices and platforms. For data reported by devices, by providing parameters such as encoding protocol and data clipping range, the data message is parsed and clipped to obtain valid data content.

[0061] g. Implement alarm thresholds. The alarm thresholds are used by the platform to verify whether it is necessary to send early warning information. The platform can configure three sets of alarm threshold ranges. The system will trigger notification messages and real-time alarms of corresponding levels according to the filled-in threshold configurations.

[0062] h. To achieve device access, associate the newly added device with the product, provide basic device information, and configure the network access address, timing configuration, threshold modification, etc., so that the device can be quickly accessed.

[0063] i. Implement the function of configuring the network access address, provide the device network access address, and support the device to connect to the system to transmit messages.

[0064] j. Implement timing configuration function, control device data collection and push frequency, and adjust event execution cycle.

[0065] k. Implement threshold modification. The device obtains the alarm threshold from the product information by default. At the same time, according to different monitoring environments, the default threshold can be modified in the basic information of the device to support the versatility of the device.

[0066] like Figure 6As shown: The data processing module can be divided into connectors, message processing, data calculation and other contents. It can subscribe and publish data, and parse, clean and calculate message data at the same time, providing data support for the online monitoring module and early warning notification module. The data processing module is used to access the real-time data of various hardware devices, synchronize device information and device control, parse and clean the received real-time data, establish data models, provide data calculation functions, and provide data support for the online monitoring module and early warning notification module.

[0067] Implement connectors, subscribe to device message data to generate message queues and publish device control commands.

[0068] Implement message processing, perform data analysis and data cleaning on message data, filter out erroneous data, obtain device status data, device location data, etc., and associate the device registration module object model configuration to create a data model.

[0069] Implement data cleaning to remove errors, anomalies, and missing values ​​in messages, and improve data accuracy and completeness.

[0070] Realize data calculation, provide alarm calculation, change trend algorithm, hidden danger prediction algorithm, etc., calculate and summarize data, and provide data support for online monitoring module and early warning notification module.

[0071] To realize alarm data, the real-time monitoring data is judged against the threshold range configured by the device registration center, the data value outside the threshold range is filtered out, and the abnormal alarm data is obtained.

[0072] Realize equipment statistics and obtain equipment connection status, self-test status, working status, location information, etc. within a period.

[0073] Realize change trend data, obtain monitoring data within a period, calculate data fluctuations through change trend algorithm, and generate change trend data. The higher the data density, the more reliable the change trend analysis results.

[0074] Implement the change trend algorithm, the change trend is based on the formula

[0075]

[0076] For the slope points in the corresponding time, the point index changes with temperature (T), soil moisture (W), rainfall (r), soil type (L), stress value (d), weight coefficient (w), height (h), slope inclination (α), time (s) and other parameters. Used to calculate the soil strength of the monitoring point. The soil strength will be affected by changes in temperature, soil moisture, rainfall, soil type, slope gradient, etc. Indicates the weight of the index in the calculation. Different parameters have different weights. The difference between the stress value of the current equipment at the current time and the stress value when the equipment was installed. Indicates the vertical height change of the slope point. Indicates a time interval.

[0077] Realize the fusion calculation of multiple devices and calculate the formula based on the change trend

[0078]

[0079] In addition to using the above-mentioned temperature sensors, soil moisture sensors, rainfall sensors, etc., you can also add other monitoring devices such as pore pressure sensors, vibration sensors, etc., add new devices to the algorithm, and set weight values ​​to integrate multiple devices for calculation.

[0080] Realize hidden danger point data based on safety factor calculation formula

[0081]

[0082] in Indicates the vertical downforce, measured by monitoring equipment. is the slope gradient, S is the distance from the measuring point to the top of the slope, It represents the shear strength of soil. The above formula is used to calculate the slope shear strength and landslide force stability at the monitoring point. At the same time, the area where the recent safety factor data is close to 1 is marked, added to the hidden danger statistical management, and the hidden danger point data is generated.

[0083] like Figure 7 As shown in the figure: The monitoring and early warning module provides online monitoring and early warning such as video early warning and trend early warning by accessing the data of the data processing module, and provides visualization contents such as real-time video monitoring, GIS point drawing, hidden danger point display, model preview, etc. The online monitoring module obtains the equipment statistical data, real-time monitoring data, change trend data, hidden danger point data and other contents in the data processing module, and provides real-time early warning display and equipment point, statistical information, model preview, video monitoring and other capabilities.

[0084] a. Implement an early warning center, including video warning and trend warning.

[0085] b. Realize protection zone monitoring, connect cameras and other equipment, divide monitoring zones, monitor personnel activities in protection zones, provide alarms, and link early warning notification modules to send messages and alarms.

[0086] c. Realize the prediction of changing trends, display the changing trend data after the changing trend algorithm analysis, predict the dangerous areas that are about to occur, and link the early warning notification module to alarm.

[0087] d. Realize visual display, control and switch video surveillance equipment, view real-time and playback data, video positioning, etc. According to equipment statistical data and real-time monitoring data, combine terrain data on GIS map, draw point graphics and equipment status, mark hidden danger points on the map according to hidden danger point data, and preview 3D model at the same time.

[0088] like Figure 8 As shown: The early warning notification module accesses the data of the data processing module and links the scene with the online monitoring module. It uses a variety of methods to push and display alarms and can process alarm data at the same time. The early warning notification module receives the alarm data of the data processing module and links the scene with the online monitoring module. It notifies personnel to evacuate in real time for disasters such as landslides, slope cracks, and slope collapse through message push and alarm display.

[0089] a. Realize data reception, subscribe to the data of the online monitoring module and data processing module, publish and process alarm data and submit it to the data processing module for updating.

[0090] b. Implement alarm notifications, notify and identify dangerous areas through alarm push and alarm display.

[0091] c. Generate message notifications and generate message push content based on alarm levels and device information.

[0092] d. Realize alarm push, and the alarm content is pushed in real time via SMS, APP, WeChat, broadcast, etc.

[0093] e. Realize video defense zones. When an alarm event is triggered, the camera equipment will locate and zoom in to the alarm location and provide real-time video stream. When someone enters the dangerous area, it will trigger a message notification and link a broadcast notification to notify the person to evacuate in time.

[0094] f. Implement GIS point alarm. When an alarm event is triggered, set the device status to alarm status on the GIS map.

[0095] g. Realize 3D model alarm and view specific alarm points on the 3D model.

[0096] h. Implement alarm processing, process the alarm and send the data to the data receiving module, and publish it to the data processing module to update the data, and at the same time link the online monitoring module to update the status.

[0097] like Fig. 9 As shown: The mobile APP includes a real-time monitoring module and an early warning display module, which enables viewing of real-time monitoring data and early warning monitoring on the APP side, and supports one-click control of the alarm area broadcasting equipment on the APP side.

[0098] The mobile APP accesses real-time monitoring data and alarm data to realize real-time video monitoring, equipment status statistics, equipment status monitoring, etc. It uses videos, maps, etc. to display alarm points in the early warning display module, and realizes the APP one-click trigger broadcast notification function.

[0099] a. Realize real-time monitoring of data, access the data processing module, and receive real-time data.

[0100] b. Realize real-time video monitoring, display and switch video images of all points.

[0101] c. Implement device status statistics and display data statistics such as current device online and offline.

[0102] d. Implement equipment status monitoring, introduce GIS maps, and render different symbols on the map according to the different status of the equipment.

[0103] e. Realize video positioning. When an alarm event is triggered, the video equipment will narrow the range, locate the alarm point, and monitor personnel activities. When personnel enter the dangerous area, a broadcast notification will be triggered to remind personnel to evacuate.

[0104] f. Realize map positioning. When an alarm event occurs, set the device icon to the alarm state on the two-dimensional map, and adjust the alarm icon according to the alarm level to highlight the urgency of the event.

[0105] g. Implement broadcast notifications. When an alarm event occurs, on-site managers can manually enable broadcast notifications. At the same time, they can enable broadcast alarms by clicking one button on the APP to remind personnel to evacuate the alarm area.

[0106] The technical solution of the present invention is not limited to the above-mentioned specific embodiments. All technical variations made according to the technical solution of the present invention fall within the protection scope of the present invention.

Claims

1. A slope monitoring and early warning system based on rapid device access, characterized in that: It includes a monitoring sensor, an Internet of Things gateway, an early warning broadcasting device, a video monitoring device and a slope monitoring and early warning system. The monitoring sensor has a network communication function. The monitoring sensor and the Internet of Things gateway are connected to the slope monitoring and early warning system through network communication. The alarm signal output end of the slope monitoring and early warning system is connected to the early warning broadcasting device, and the signal output end of the video monitoring device is connected to the slope monitoring and early warning system. The monitoring sensors include crack monitoring sensors, stress field monitoring sensors, internal deformation monitoring sensors, posture monitoring sensors, and surface stress monitoring sensors. The IoT gateway realizes the functions of receiving and reporting monitoring sensor data, and receiving and issuing slope monitoring and early warning system instruction data; the early warning broadcasting equipment can receive broadcast content instructions issued by the slope monitoring system, and broadcast cyclically according to the frequency rules specified by the slope monitoring system. The video monitoring equipment realizes the function of monitoring personnel entering the designated defense zone. When personnel enter or stay in the dangerous area, an alarm message is sent to the slope monitoring system; The slope monitoring and early warning system includes an equipment registration module, a data processing module, an online monitoring module, an early warning notification module and a mobile terminal APP; The early warning method of the slope monitoring and early warning system based on rapid device access comprises the following steps: S1: The device registration module realizes fast access of IoT devices by uniformly configuring access protocols, parsing rules, and device models, and maintains added devices, including monitoring sensors, IoT gateways, early warning broadcasting equipment, and video surveillance equipment; S2: The data processing module accesses the real-time data of the hardware device, synchronizes the device information and device control, analyzes and cleans the received real-time data, establishes a data model, provides data calculation functions, and provides data support for the online monitoring module and the early warning notification module; S3: The online monitoring module obtains equipment statistical data, real-time monitoring data, change trend data, and hidden danger point data content in the data processing module, and provides real-time warning display and equipment point location, statistical information, model preview, and video monitoring capabilities; S4: The early warning notification module receives the alarm data from the data processing module and simultaneously performs scene linkage with the online monitoring module, and notifies personnel to evacuate in real time through message push and alarm display for landslide, slope cracks, and slope top collapse disasters; S5: The mobile APP accesses real-time monitoring data and alarm data to achieve real-time video monitoring, equipment status statistics, and equipment status monitoring. It uses videos and maps to display alarm points in the early warning display module, and realizes the APP one-click triggering broadcast notification function; The step S2 implements the following functions: Connector: subscribes to device message data to generate message queues and publishes device control commands; Message processing: parsing and cleaning message data, filtering out erroneous data, obtaining device status data and device location data, associating device registration module object model configuration, and creating a data model; Data cleaning: remove errors, anomalies, and missing values ​​in messages to improve data accuracy and completeness; Data calculation: Provide alarm calculation, change trend algorithm, hidden danger prediction algorithm, calculate and summarize data, and provide data support for online monitoring module and early warning notification module; Alarm data: The real-time monitoring data is compared with the threshold range configured by the device registration center, and the data values ​​outside the threshold range are screened out to obtain abnormal alarm data; Equipment statistics: obtain equipment connection status, self-test status, working status, and location information within a period; Change trend data: obtain monitoring data within a period, calculate data fluctuations using a change trend algorithm, and generate change trend data. The higher the data density, the more reliable the change trend analysis results. Change trend algorithm, the change trend is based on the formula: For the slope points in the corresponding time, the point index changes with the temperature T, soil moisture W, rainfall r, soil type L, stress value d, weight coefficient w, height h, slope gradient α, and time s parameters; Among them, (T+W+r)*L*tan(α) is used to calculate the soil strength of the monitoring point. The soil strength will be affected by temperature, soil moisture content, rainfall, soil type, slope gradient, w i Indicates the weight of the index in the calculation, Δd i The difference between the stress value of the current equipment at the current time and the stress value when the equipment was installed, Δh i Indicates the vertical height change of the slope point, Δs i Indicates a time interval; Based on the change trend calculation formula, pore pressure sensors and vibration sensors can be added to the algorithm, and weight values ​​can be set to integrate multiple devices for calculation; Hidden danger point data: Based on the safety factor calculation formula: where f d It represents the vertical downward force, which is measured by the monitoring equipment. α is the slope gradient. S represents the distance from the measuring point to the top of the slope. (T+W+r)*L*tan(α) represents the shear strength of the soil. The above formula is used to calculate the slope shear force and landslide force stability at the monitoring point. At the same time, the area with recent safety factor data close to 1 is marked and added to the hidden danger statistical management to generate hidden danger point data.

2. The slope monitoring and early warning system based on rapid device access according to claim 1 is characterized in that: The step S1 implements the following functions: Product registration includes product classification, new product addition, protocol configuration, object model, rule arrangement, and threshold setting functions, providing basic configuration for device access and data transmission; Product classification management: distinguish products with similar functions, including product classification names and description information; New products: Add new products and associate them with product categories. Each product maintains a collection of devices with the same characteristics and rules, and manages these devices in a unified manner, including product images, product names, product types, protocol configurations, object models, parsing rules, and basic information about alarm thresholds. Protocol configuration: including one of MQTT, CoAP, TCP, HTTP, and LwM2M IoT protocols; Object model: associates device information and device parameters through data mapping. The object model contains three dimensions: attributes, services, and events. Attributes are used to describe the dynamic characteristics of devices, including operating status, read and set requests. Services represent the ability of devices to be called externally, including broadcast device early warning calls. Events represent information uploaded by devices, including monitoring data and fault information. They provide basic capabilities for data center storage and command issuance. Rule arrangement: used to define data processing rules between devices and platforms. For data reported by devices, by providing encoding protocols and data clipping range parameters, data messages are parsed and clipped to obtain valid data content; Alarm threshold: used by the platform to verify whether it is necessary to send an early warning message. The platform can configure three sets of alarm threshold ranges. The system will trigger notification messages and real-time alarms of corresponding levels according to the filled-in threshold configurations; Device access: associate the newly added device with the product, provide basic device information, and configure the network address, timing configuration, and threshold modification content to achieve fast device access; Configure network access address: provide the device network access address and support the device to connect to the system to transmit messages; Timing configuration: control the frequency of device data collection and push and adjust the event execution cycle; Threshold modification: The device obtains the alarm threshold from the product information by default. At the same time, according to different monitoring environments, it supports modifying the default threshold in the basic information of the device to support the versatility of the device.

3. The slope monitoring and early warning system based on rapid device access according to claim 1 is characterized in that: The step S3 implements the following functions: Early warning: including video early warning and trend early warning; Protection zone monitoring: connect camera equipment and divide monitoring zones, monitor the activities of people in the protection zone, provide alarms, and link the early warning notification module to send messages and alarms; Change trend prediction: Display the change trend data after the change trend algorithm analysis, predict the dangerous areas, and link the early warning notification module to alarm; Visual display: control and switch video surveillance equipment, view real-time and playback data, and video positioning. Based on equipment statistics and real-time monitoring data, combine terrain data on the GIS map to draw point graphics and equipment status. Mark potential hazards on the map based on potential hazard data, and preview the 3D model.

4. According to the slope monitoring and early warning system based on rapid device access according to claim 1: the step S4 realizes the following functions: Data reception: subscribe to the data of the online monitoring module and the data processing module, publish and process the alarm data and submit it to the data processing module for updating; Alarm notification: notify and identify dangerous areas through alarm push and alarm display; Generate message notification: Generate message push content based on alarm level and device information; Alarm push: Alarm content is pushed in real time via SMS, APP, WeChat, and broadcast; Video defense zone: When an alarm event is triggered, the camera will locate and zoom in to the alarm location and provide real-time video stream. When someone enters the dangerous area, a message notification will be triggered and a broadcast notification will be linked to notify the person to evacuate in time. GIS point alarm: when an alarm event is triggered, the device status is set to the alarm status on the GIS map; 3D model alarm: The specific alarm points can be viewed on the 3D model; Alarm processing: Process the alarm and send the data to the data receiving module, and publish it to the data processing module to update the data, and at the same time link the online monitoring module to update the status.

5. The slope monitoring and early warning system based on rapid device access according to claim 1 is characterized in that: The step S5 realizes the following functions: Real-time monitoring data: access the data processing module to receive real-time data; Real-time video monitoring: display and switch video images of all points; Device status statistics: Displays the online and offline data statistics of the current device; Equipment status monitoring: Introduce GIS maps and render different symbols on the map according to the different status of the equipment; Video positioning: When an alarm event is triggered, the video equipment will narrow the scope, locate the alarm point, monitor personnel activities, and trigger a broadcast notification when personnel enter the dangerous area to remind them to evacuate; Map positioning: When an alarm event occurs, the device icon is set to the alarm state on the two-dimensional map, and the alarm icon is adjusted according to the alarm level to highlight the urgency of the event; Broadcast notification: When an alarm event occurs, on-site managers can manually turn on the broadcast notification. At the same time, they can also click one button on the APP to turn on the broadcast alarm to remind personnel to evacuate the alarm area.

Images