Dangerous rock mass displacement data monitoring system based on Internet of Things

Abstract

The invention provides a dangerous rock mass displacement data monitoring system based on the Internet of Things, the system comprises a plurality of terminal nodes, a signal receiving and sending module, a base station and a visual interface, and each terminal node comprises a CC2530 module, a vibration sensor, a displacement sensor and a power supply module; the signal receiving and sending module comprises a 4G communication module and a CC2530 module and is responsible for receiving data transmitted by the terminal node and transmitting the data to the base station; the visual interface can be a PC, an APP and a visual large screen. The terminal nodes are arranged at proper positions of the dangerous rock body and used for monitoring the vibration frequency and displacement information of the dangerous rock body, the matched signal receiving and transmitting module can achieve real-time transmission of data, real-time data of displacement of the dangerous rock body can be remotely and visually monitored, deformation development of the dangerous rock body can be dynamically monitored, and the possible damage scale can be predicted; the problems that a dangerous rock mass monitoring system cannot conduct real-time monitoring, cost is high, and installation and implementation are difficult are solved.

Description

Technical Field

[0001] The present invention relates to the technical field of dangerous rock mass monitoring, and in particular to a dangerous rock mass displacement data monitoring system based on the Internet of Things. Background Art

[0002] At present, image processing is often used as a means of monitoring dangerous rock masses. Cracks will occur when dangerous rock masses become unstable or move. By collecting images of dangerous rock cracks and using image processing algorithms to detect dangerous rock cracks, early warnings are issued before dangerous rocks move to ensure personnel safety. However, this method has a complex analysis process, a long image acquisition interval, and a short response time after the early warning information is issued. Once the early warning information is wrong or not timely, it will cause serious losses, and its scope of application is very limited.

[0003] Although methods such as laser holographic projection and ultrasonic ranging can detect danger early and provide early warning, the equipment is expensive, difficult to install, and not easy to implement in the wild. Summary of the invention

[0004] The present invention provides a dangerous rock mass displacement data monitoring system based on the Internet of Things, which is used to solve the defects of the dangerous rock mass monitoring system in the prior art, such as low monitoring accuracy, inability to monitor in real time, high cost and difficulty in installation and implementation, and realize dynamic monitoring of dangerous rock mass displacement data.

[0005] The present invention provides a dangerous rock mass displacement data monitoring system based on the Internet of Things, comprising:

[0006] A plurality of terminal nodes are installed at different positions of the dangerous rock mass, and the terminal nodes are used to collect vibration signals and displacement information of the dangerous rock mass;

[0007] An information receiving and sending module, connected to the terminal node, and used for receiving and sending the vibration signal and displacement information of the dangerous rock mass collected by the terminal node;

[0008] A base station connected to the information receiving and sending module, the base station is used to receive the vibration signal and displacement information of the dangerous rock mass sent by the information receiving and sending module, and store and summarize the vibration signal and displacement information;

[0009] A visualization interface is connected to the base station, and the visualization interface is used to display the vibration signal and displacement information of the dangerous rock body to analyze the real-time status of the dangerous rock body.

[0010] According to a dangerous rock mass displacement data monitoring system based on the Internet of Things provided by the present invention, each terminal node includes:

[0011] A CC2530 module, used for sending the vibration signal and displacement information of the dangerous rock mass collected by the terminal node to the information receiving and sending module;

[0012] A vibration sensor, used for collecting vibration signals of the dangerous rock mass;

[0013] A displacement sensor, used for collecting displacement information of the dangerous rock mass;

[0014] The power supply module is used to supply power to the CC2530 module, the vibration sensor and the displacement sensor.

[0015] According to a dangerous rock mass displacement data monitoring system based on the Internet of Things provided by the present invention, the CC2530 module is specifically used for:

[0016] The vibration signal and displacement information of the dangerous rock mass collected by the terminal node are sent to the information receiving and sending module in the form of RS485 communication.

[0017] According to a dangerous rock mass displacement data monitoring system based on the Internet of Things provided by the present invention, the information receiving and sending module includes:

[0018] A CC2530 module, used for receiving the vibration signal and displacement information of the dangerous rock mass collected by the terminal node;

[0019] The 4G communication module is used to send the vibration signal and displacement information of the dangerous rock mass collected by the terminal node to the base station.

[0020] According to a dangerous rock mass displacement data monitoring system based on the Internet of Things provided by the present invention, the base station is used to aggregate the vibration signal and displacement information of the dangerous rock mass and store them on a cloud platform, so that the cloud platform can perform data processing on the vibration signal and displacement information of the dangerous rock mass to obtain the danger level of the dangerous rock mass.

[0021] According to a dangerous rock mass displacement data monitoring system based on the Internet of Things provided by the present invention, the visualization interface is used to display the vibration signal and displacement information of the dangerous rock mass on a PC, an APP or a visualization large screen.

[0022] According to a dangerous rock mass displacement data monitoring system based on the Internet of Things provided by the present invention, the cloud platform is used for:

[0023] Clustering all terminal nodes according to the coordinate positions of all terminal nodes on the dangerous rock mass and the vibration frequency and displacement information of the collected vibration signal of the dangerous rock mass;

[0024] Determine the average value of displacement information and the average value of vibration frequency corresponding to each type of terminal node;

[0025] The danger level of the dangerous rock mass is determined according to the average value of the displacement information and the average value of the vibration frequency corresponding to each type of terminal nodes.

[0026] According to a dangerous rock mass displacement data monitoring system based on the Internet of Things provided by the present invention, the cloud platform is specifically used for:

[0027] The average value of the displacement information corresponding to each type of terminal node is compared with the displacement range corresponding to each hazard level, and the average value of the vibration frequency corresponding to each type of terminal node is compared with the vibration frequency range corresponding to each hazard level;

[0028] If the average value of the displacement information and the average value of the vibration frequency are respectively within the displacement range and the vibration frequency range corresponding to the same hazard level, the same hazard level is used as the hazard level corresponding to each type of terminal node;

[0029] The danger level of the dangerous rock mass is determined according to the danger level corresponding to each type of terminal node.

[0030] According to a dangerous rock mass displacement data monitoring system based on the Internet of Things provided by the present invention, the cloud platform is specifically used for:

[0031] The maximum value or the middle value of the danger levels corresponding to each type of terminal nodes is used as the danger level of the dangerous rock mass.

[0032] According to a dangerous rock mass displacement data monitoring system based on the Internet of Things provided by the present invention, the cloud platform is specifically used for:

[0033] Determine the average coordinate position of each type of terminal node;

[0034] Determine the distance between the average values ​​of the coordinate positions of any two types of terminal nodes;

[0035] For any type of terminal node, the weight corresponding to the other type of terminal node is determined according to the distance between the other type of terminal node and the average value of the coordinate position of the terminal node of this type, and the larger the distance, the smaller the weight;

[0036] The weights corresponding to the other types of terminal nodes are weighted and summed with the average values ​​of the displacement information and the average values ​​of the vibration frequencies corresponding to the other types of terminal nodes to obtain the sum of the displacement information and the sum of the vibration frequencies;

[0037] Adding an average value of the displacement information corresponding to the terminal node of this type to the sum of the displacement information, and adding an average value of the vibration frequency corresponding to the terminal node of this type to the sum of the vibration frequencies;

[0038] The danger level of the dangerous rock mass is determined according to the two addition results.

[0039] The dangerous rock mass displacement data monitoring system based on the Internet of Things provided by the present invention is used to monitor the vibration signal and displacement information of the dangerous rock mass by arranging multiple terminal nodes at different positions of the dangerous rock mass. The matching signal receiving and sending modules can realize real-time data collection and sending, so as to remotely and intuitively monitor the real-time data of the dangerous rock mass displacement, dynamically monitor the deformation development of the dangerous rock mass and predict the scale of possible damage, thereby solving the problems that the dangerous rock mass monitoring system cannot be monitored in real time, is costly, and is difficult to install and implement. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0041] Figure 1 It is a structural schematic diagram of a dangerous rock mass displacement data monitoring system based on the Internet of Things provided by the present invention;

[0042] Figure 2 It is a schematic diagram of a module circuit of a terminal node in a dangerous rock mass displacement data monitoring system based on the Internet of Things provided by the present invention;

[0043] Figure 3 It is a schematic diagram of the workflow of the terminal nodes in the dangerous rock mass displacement data monitoring system based on the Internet of Things provided by the present invention;

[0044] Figure 4 It is a schematic diagram of the working process of the signal receiving and sending module in the dangerous rock mass displacement data monitoring system based on the Internet of Things provided by the present invention. DETAILED DESCRIPTION

[0045] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the drawings of the present invention. Obviously, the described embodiments are 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.

[0046] Combine the following Figure 1 The present invention is a dangerous rock mass displacement data monitoring system based on the Internet of Things, comprising:

[0047] A plurality of terminal nodes are installed at different positions of the dangerous rock mass, and the terminal nodes are used to collect vibration signals and displacement information of the dangerous rock mass;

[0048] An information receiving and sending module, connected to the terminal node, and used for receiving and sending the vibration signal and displacement information of the dangerous rock mass collected by the terminal node;

[0049] A base station connected to the information receiving and sending module, the base station is used to receive the vibration signal and displacement information of the dangerous rock mass sent by the information receiving and sending module, and store and summarize the vibration signal and displacement information;

[0050] A visualization interface is connected to the base station, and the visualization interface is used to display the vibration signal and displacement information of the dangerous rock body to analyze the real-time status of the dangerous rock body.

[0051] Multiple terminal nodes are responsible for the collection and data processing of dangerous rock mass displacement data. The collected displacement information includes the crack span and inclination angle of the dangerous rock mass. The vibration frequency of the dangerous rock mass can be obtained based on the collected vibration signal of the dangerous rock mass.

[0052] The information receiving and sending module is responsible for receiving data transmitted by the terminal node and transmitting the received data to the base station. The base station uses the cloud platform database to store and summarize data. The visualization interface includes PC (Personal Computer), APP (Application) and visualization screen, which are responsible for intuitively displaying the data processed in the base station, helping people to obtain information about dangerous rock masses faster and more accurately.

[0053] This embodiment arranges multiple terminal nodes at different positions of the dangerous rock mass to monitor the vibration signal and displacement information of the dangerous rock mass. The matching signal receiving and sending modules can realize real-time data collection and transmission, remotely and intuitively monitor the real-time data of the displacement of the dangerous rock mass, dynamically monitor the deformation development of the dangerous rock mass and predict the scale of possible damage, thereby solving the problems that the dangerous rock mass monitoring system cannot be monitored in real time, is costly, and is difficult to install and implement.

[0054] Based on the above embodiment, each terminal node in this embodiment includes:

[0055] A CC2530 module, used for sending the vibration signal and displacement information of the dangerous rock mass collected by the terminal node to the information receiving and sending module;

[0056] A vibration sensor, used for collecting vibration signals of the dangerous rock mass;

[0057] A displacement sensor, used for collecting displacement information of the dangerous rock mass;

[0058] The power supply module is used to supply power to the CC2530 module, the vibration sensor and the displacement sensor.

[0059] Multiple terminal nodes are installed at appropriate locations of the dangerous rock mass, and each terminal node may include a vibration sensor, a displacement sensor, a CC2530 module and a power supply module, which are responsible for the collection and data processing of the displacement data of the dangerous rock mass.

[0060] Among them, the displacement sensor collects the displacement information caused by the severe vibration affecting the dangerous rock mass, and the vibration sensor collects the micro-displacement information caused by the slight vibration affecting the dangerous rock mass.

[0061] The power supply module includes but is not limited to wireless energy transmission, new energy power generation or traditional power supply methods. Through the terminal node composed of multiple modules, the state of dangerous rock mass can be monitored in real time.

[0062] Figure 2 The terminal node module circuit diagram is shown below. Figure 2 (a) in the figure is the circuit diagram of CC2530. Figure 2 (b) is the LED circuit diagram. Figure 2 (c) is the RF antenna interface circuit diagram. Figure 2 (d) is the buzzer circuit diagram. Figure 2 (e) is the relay module circuit diagram. Figure 2 (f) in the figure is the filter capacitor circuit diagram. Figure 2 The left side of (g) is the displacement sensor interface, and the right side is the vibration sensor interface. Figure 2 (h) in the figure is the USB to UART circuit diagram.

[0063] The module adopts the traditional power supply mode, and the overall power supply reliability is guaranteed by the combination of the relay module and the external battery power module. The communication mode adopts the combination of the CC2530 core board external antenna and RS485 communication to ensure the communication quality; the displacement data monitoring module adopts an external displacement sensor, which can directly read the displacement data of the dangerous rock mass. The micro-displacement data monitoring module adopts an external vibration sensor, which can directly read the micro-displacement data of the dangerous rock mass, and is accurate to within 0.5mm.

[0064] Figure 3 The figure shows the workflow of the terminal node. First, initialize the terminal node and determine whether the initialization is successful. If it fails, repeat the action; if the number of failures exceeds the set limit, the output information is "terminal node number + ERROR"; if successful, proceed to the next step of data collection. Distribute the terminal nodes at appropriate locations in the dangerous rock mass area, and collect the status data of the dangerous rock mass through the displacement sensors and vibration sensors installed on the dangerous rock mass. After the collection is completed, send the data to the signal receiving and sending module, and end the action.

[0065] Based on the above embodiment, the CC2530 module in this embodiment is specifically used for:

[0066] The vibration signal and displacement information of the dangerous rock mass collected by the terminal node are sent to the information receiving and sending module in the form of RS485 communication.

[0067] Based on the above embodiment, the information receiving and sending module in this embodiment includes:

[0068] A CC2530 module is used to receive the vibration signal and displacement information of the dangerous rock mass collected by the terminal node;

[0069] The 4G communication module is used to send the vibration signal and displacement information of the dangerous rock mass collected by the terminal node to the base station.

[0070] Figure 4 The figure shows the workflow of the signal receiving and sending module. First, wake up the signal receiving and sending module and determine whether the wake-up is successful. If it fails, repeat the action, otherwise proceed to the next step of data transmission. Determine whether there is data transmission. If there is no data transmission, continue scanning; if there is data transmission, the signal receiving module accepts all data. After the signal receiving module has completely received the data, the signal sending module sends all the received data to the base station for data storage and aggregation.

[0071] Based on the above embodiments, the base station in this embodiment is used to aggregate the vibration signal and displacement information of the dangerous rock body and store them on the cloud platform, so that the cloud platform can process the vibration signal and displacement information of the dangerous rock body to obtain the danger level of the dangerous rock body.

[0072] On the basis of the above-mentioned embodiment, the visualization interface in this embodiment is used to display the vibration signal and displacement information of the dangerous rock body on a PC, an APP or a visualization large screen.

[0073] Based on the above embodiment, the cloud platform described in this embodiment is used for:

[0074] Clustering all terminal nodes according to the coordinate positions of all terminal nodes on the dangerous rock mass and the vibration frequency and displacement information of the collected vibration signal of the dangerous rock mass;

[0075] Determine the average value of displacement information and the average value of vibration frequency corresponding to each type of terminal node;

[0076] The danger level of the dangerous rock mass is determined according to the average value of the displacement information and the average value of the vibration frequency corresponding to each type of terminal nodes.

[0077] The average value of the displacement information and the average value of the vibration frequency corresponding to each type of terminal node can be integrated (such as weighted summation) first, and then the danger level corresponding to the preset range is determined according to the preset range to which the integrated result belongs, that is, the danger level of the area where each type of terminal node is located is obtained.

[0078] The danger level corresponding to the preset range may also be determined directly according to the preset range to which the average value of the displacement information and the average value of the vibration frequency corresponding to each type of terminal node belong.

[0079] Based on the above embodiment, the cloud platform described in this embodiment is specifically used for:

[0080] The average value of the displacement information corresponding to each type of terminal node is compared with the displacement range corresponding to each hazard level, and the average value of the vibration frequency corresponding to each type of terminal node is compared with the vibration frequency range corresponding to each hazard level;

[0081] If the average value of the displacement information and the average value of the vibration frequency are respectively within the displacement range and the vibration frequency range corresponding to the same hazard level, the same hazard level is used as the hazard level corresponding to each type of terminal node;

[0082] The danger level of the dangerous rock mass is determined according to the danger level corresponding to each type of terminal node.

[0083] If the average value of the displacement information and the average value of the vibration frequency are not within the displacement range and vibration frequency range corresponding to the same danger level, continue to determine whether the average value of the displacement information is within the displacement range corresponding to a certain danger level. If so, use the danger level as the danger level of the dangerous rock mass.

[0084] Based on the above embodiment, the cloud platform described in this embodiment is specifically used for:

[0085] The maximum value or the middle value of the danger levels corresponding to each type of terminal nodes is used as the danger level of the dangerous rock mass.

[0086] Based on the above embodiment, the cloud platform described in this embodiment is specifically used for:

[0087] Determine the average coordinate position of each type of terminal node;

[0088] Determine the distance between the average values ​​of the coordinate positions of any two types of terminal nodes;

[0089] For any type of terminal node, the weight corresponding to the other type of terminal node is determined according to the distance between the other type of terminal node and the average value of the coordinate position of the terminal node of this type, and the larger the distance, the smaller the weight;

[0090] The weights corresponding to the other types of terminal nodes are weighted and summed with the average values ​​of the displacement information and the average values ​​of the vibration frequencies corresponding to the other types of terminal nodes to obtain the sum of the displacement information and the sum of the vibration frequencies;

[0091] Adding an average value of the displacement information corresponding to the terminal node of this type to the sum of the displacement information, and adding an average value of the vibration frequency corresponding to the terminal node of this type to the sum of the vibration frequencies;

[0092] The danger level of the dangerous rock mass is determined according to the two addition results.

[0093] The weighted sum of the two addition results can be calculated, the weighted sum can be compared with the value range corresponding to the danger level, and the danger level within the value range of the weighted sum can be used as the danger level of the dangerous rock mass.

[0094] Alternatively, the hazard level corresponding to the preset range may be directly determined according to the preset range to which the two addition results corresponding to each type of terminal node belong, that is, the hazard level of the area where each type of terminal node is located is obtained. The maximum value or the middle value of the hazard level of the area where each type of terminal node is located is used as the hazard level of the dangerous rock mass.

[0095] 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 make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A dangerous rock mass displacement data monitoring system based on the Internet of Things, characterized in that: include: A plurality of terminal nodes are installed at different positions of the dangerous rock mass, and the terminal nodes are used to collect vibration signals and displacement information of the dangerous rock mass; An information receiving and sending module, connected to the terminal node, and used for receiving and sending the vibration signal and displacement information of the dangerous rock mass collected by the terminal node; A base station connected to the information receiving and sending module, the base station is used to receive the vibration signal and displacement information of the dangerous rock mass sent by the information receiving and sending module, and store and summarize the vibration signal and displacement information; A visualization interface is connected to the base station, and the visualization interface is used to display the vibration signal and displacement information of the dangerous rock body to analyze the real-time status of the dangerous rock body.

2. The dangerous rock mass displacement data monitoring system based on the Internet of Things according to claim 1 is characterized in that: Each terminal node consists of: A CC2530 module, used for sending the vibration signal and displacement information of the dangerous rock mass collected by the terminal node to the information receiving and sending module; A vibration sensor, used for collecting vibration signals of the dangerous rock mass; A displacement sensor, used for collecting displacement information of the dangerous rock mass; The power supply module is used to supply power to the CC2530 module, the vibration sensor and the displacement sensor.

3. The dangerous rock mass displacement data monitoring system based on the Internet of Things according to claim 2 is characterized in that: The CC2530 module is specifically used for: The vibration signal and displacement information of the dangerous rock mass collected by the terminal node are sent to the information receiving and sending module in the form of RS485 communication.

4. The dangerous rock mass displacement data monitoring system based on the Internet of Things according to claim 1 is characterized in that: The information receiving and sending module includes: A CC2530 module, used for receiving the vibration signal and displacement information of the dangerous rock mass collected by the terminal node; The 4G communication module is used to send the vibration signal and displacement information of the dangerous rock mass collected by the terminal node to the base station.

5. The dangerous rock mass displacement data monitoring system based on the Internet of Things according to claim 1 is characterized in that: The base station is used to aggregate the vibration signal and displacement information of the dangerous rock body and store them in a cloud platform, so that the cloud platform can perform data processing on the vibration signal and displacement information of the dangerous rock body to obtain the danger level of the dangerous rock body.

6. The dangerous rock mass displacement data monitoring system based on the Internet of Things according to claim 1 is characterized in that: The visualization interface is used to display the vibration signal and displacement information of the dangerous rock mass on a PC, APP or a visualization large screen.

7. The dangerous rock mass displacement data monitoring system based on the Internet of Things according to claim 5 is characterized in that: The cloud platform is used for: Clustering all terminal nodes according to the coordinate positions of all terminal nodes on the dangerous rock mass and the vibration frequency and displacement information of the collected vibration signal of the dangerous rock mass; Determine the average value of displacement information and the average value of vibration frequency corresponding to each type of terminal node; The danger level of the dangerous rock mass is determined according to the average value of the displacement information and the average value of the vibration frequency corresponding to each type of terminal nodes.

8. The dangerous rock mass displacement data monitoring system based on the Internet of Things according to claim 7 is characterized in that: The cloud platform is specifically used for: The average value of the displacement information corresponding to each type of terminal node is compared with the displacement range corresponding to each hazard level, and the average value of the vibration frequency corresponding to each type of terminal node is compared with the vibration frequency range corresponding to each hazard level; If the average value of the displacement information and the average value of the vibration frequency are respectively within the displacement range and the vibration frequency range corresponding to the same hazard level, the same hazard level is used as the hazard level corresponding to each type of terminal node; The danger level of the dangerous rock mass is determined according to the danger level corresponding to each type of terminal node.

9. The dangerous rock mass displacement data monitoring system based on the Internet of Things according to claim 8 is characterized in that: The cloud platform is specifically used for: The maximum value or the middle value of the danger levels corresponding to each type of terminal nodes is used as the danger level of the dangerous rock mass.

10. The dangerous rock mass displacement data monitoring system based on the Internet of Things according to claim 7 is characterized in that: The cloud platform is specifically used for: Determine the average coordinate position of each type of terminal node; Determine the distance between the average values ​​of the coordinate positions of any two types of terminal nodes; For any type of terminal node, the weight corresponding to the other type of terminal node is determined according to the distance between the other type of terminal node and the average value of the coordinate position of the terminal node of this type, and the larger the distance, the smaller the weight; The weights corresponding to the other types of terminal nodes are weighted and summed with the average values ​​of the displacement information and the average values ​​of the vibration frequencies corresponding to the other types of terminal nodes to obtain the sum of the displacement information and the sum of the vibration frequencies; Adding an average value of the displacement information corresponding to the terminal node of this type to the sum of the displacement information, and adding an average value of the vibration frequency corresponding to the terminal node of this type to the sum of the vibration frequencies; The danger level of the dangerous rock mass is determined according to the two addition results.

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