A method and device for monitoring abnormality in a tunnel based on sound waves

Abstract

The present invention discloses a tunnel abnormality monitoring method and device based on sound waves. According to the response abnormal monitoring signal, the corresponding sound wave monitoring device is adjusted to the open state, so that the device generates sound waves and receives reflected signals, and the received reflected signals are converted into forms and processed in sequence. After determining that there are abnormal objects in the tunnel according to the processing results, the abnormal elimination broadcast is turned on and the abnormal objects are continuously monitored, and then it is determined whether the abnormal objects have been eliminated according to the monitoring results. The present invention determines the sound wave monitoring device that needs to be turned on through the abnormal monitoring signal, realizes accurate monitoring of different areas in the tunnel, ensures the monitoring efficiency and saves the energy consumption of the sound wave monitoring device; the abnormal situation in the tunnel is monitored by the reflected wave formed by the sound wave, the monitoring range is wider and the dependence on the surrounding environment is less, which reduces the difficulty of monitoring and improves the accuracy of the monitoring results.

Description

Technical Field

[0001] The present invention relates to the technical field of non-destructive monitoring, and in particular to a method and device for monitoring tunnel anomalies based on sound waves. Background Art

[0002] Tunnels are engineering structures buried in the ground, and are a form of human use of underground space. Tunnels can be divided into traffic tunnels, hydraulic tunnels, municipal tunnels, mining tunnels, and military tunnels. When monitoring the tunnel conditions, if workers conduct on-site inspections, the inspection results will not be ideal, and the safety of the workers will be affected. Therefore, existing technologies generally use cameras and infrared rays to achieve real-time monitoring of the tunnel conditions.

[0003] However, when monitoring the situation in the tunnel through cameras and infrared rays, both rely on specific environments. Camera monitoring requires sufficient light support, while infrared monitoring is easily affected by other heat sources and temperature changes. At the same time, factors such as humidity and brightness may have adverse effects on the monitoring results of the above instruments. In addition, the monitoring range of the camera in the above monitoring instruments is small, while the infrared monitor is expensive, and the operation of the infrared monitor is complicated, requiring professionals and professional knowledge for maintenance. Summary of the invention

[0004] The present invention provides a method and device for monitoring tunnel anomalies based on sound waves, so as to achieve the technical effect of reducing the difficulty of tunnel monitoring and improving the monitoring range and accuracy of monitoring results for the tunnel.

[0005] In order to solve the above technical problems, an embodiment of the present invention provides a tunnel anomaly monitoring method based on sound waves, comprising the following steps:

[0006] In response to a preset triggered abnormal monitoring signal, determining and adjusting a corresponding sound wave monitoring device to an on state according to the abnormal monitoring signal, so that the sound wave monitoring device emits sound waves and receives reflected sound waves;

[0007] The received reflected sound waves are converted into electrical signal form, and the converted reflected signals are processed by a preset signal processing method. After determining that there are abnormal objects in the tunnel according to the processing results, the abnormal elimination broadcast is adjusted to the on state and the abnormal objects are continuously monitored, and then it is determined whether the abnormal objects have been eliminated according to the monitoring results.

[0008] The tunnel abnormality monitoring method provided by the present invention first adjusts the corresponding sound wave monitoring device to the on state according to the response abnormal monitoring signal, so that the sound wave monitoring device after being turned on emits sound waves and receives reflected signals. By analyzing the response abnormal monitoring signal and then determining the sound wave monitoring device that needs to be turned on, accurate monitoring of different areas in the tunnel is achieved. At the same time, the sound wave monitoring device is turned on at a scheduled time through the signal, and the operating state of the sound wave monitoring device is flexibly adjusted, which ensures the efficiency of tunnel monitoring while saving the energy consumption of the sound wave monitoring device.

[0009] The received reflected signal is converted into an electrical signal, and the electrical signal is processed to determine whether there are abnormal objects in the tunnel. After determining that there are abnormal objects, the abnormal elimination broadcast is turned on to expel the abnormal objects, so as to timely monitor and eliminate abnormal objects. The reflected waves formed by sound waves are used to monitor abnormal conditions in the tunnel. Compared with camera monitoring and infrared monitoring, its monitoring range is wider and less dependent on the surrounding environment during monitoring, which reduces the difficulty of monitoring abnormalities in the tunnel. At the same time, the monitoring accuracy of determining whether there are abnormalities in the tunnel and whether abnormal objects can be expelled through reflected signals is higher.

[0010] As a preferred example, in response to the preset triggered abnormal monitoring signal, determining and adjusting the corresponding sound wave monitoring device to the turned-on state according to the abnormal monitoring signal specifically includes:

[0011] Respond to and analyze the abnormal monitoring signal to obtain the current time point and the number of the device to be opened, and at the same time collect and obtain the current tunnel operation status, and call the corresponding abnormal monitoring mode according to the current time point and the current tunnel operation status;

[0012] The acoustic wave monitoring device is connected and controlled according to the number of the device to be turned on, and the parameters of the acoustic wave monitoring device are adjusted according to the abnormal monitoring mode, and then the adjusted acoustic wave monitoring device is adjusted to the turned-on state.

[0013] In order to achieve accurate monitoring of the area inside the tunnel, the tunnel abnormality monitoring method provided by the present invention first obtains the current time point, the current tunnel operation status and the number of the device to be opened according to the signal after the monitoring signal is triggered, and calls the corresponding abnormal monitoring mode according to the current time point and the current operation status of the tunnel. The abnormal monitoring mode includes parameters such as monitoring frequency and monitoring time period, and the monitoring method is more in line with the current tunnel situation by customizing the monitoring mode.

[0014] As a preferred example, the signal processing of the converted reflection signal by a preset signal processing method specifically includes:

[0015] Performing filtering and signal amplification processing on the reflected signal in sequence, so that the processed reflected signal corresponds to and is associated with the sound wave emitted by the sound wave monitoring device one by one;

[0016] Calculate the echo time difference according to the associated reception time of the reflected signal and the emission time of the sound wave, and compare the calculated echo time difference with the standard time difference to obtain a comparison result;

[0017] If the comparison result shows that the difference between the echo time difference and the standard time difference is within a normal range, it means that the echo time difference is in a normal state, and it is determined that there is no abnormal object in the tunnel;

[0018] If the comparison result is that the difference between the echo time difference and the standard time difference is not within the normal range, it means that the echo time difference is not in a normal state, and then it is determined that the abnormal object exists in the tunnel.

[0019] By filtering and amplifying the reflected signal, it is convenient for the subsequent system to process and analyze it, and at the same time improve the efficiency of subsequent signal processing. By associating the reflected signal with its corresponding transmitted signal, the echo time difference can be calculated based on the emission time point of the transmitted signal and the reception time point of the reflected signal, and the presence of abnormal objects in the tunnel can be determined based on the comparison result of the echo time difference and the standard time difference corresponding to the absence of abnormalities in the tunnel. If there are abnormal objects in the tunnel, the sound waves will contact the abnormal objects before spreading to the tunnel wall. Therefore, the time required for the reflected signal generated by it to return to the sound wave monitoring device is shorter than the time required for the reflected signal generated by the normal spread to the tunnel wall to return to the sound wave monitoring device. Therefore, based on the two time differences, it is possible to determine whether there are abnormal objects in the tunnel, providing reference data for subsequent system abnormality monitoring.

[0020] As a preferred example, after determining that there is an abnormal object in the tunnel according to the processing result, adjusting the abnormality elimination broadcast to an on state and continuously monitoring the abnormal object specifically includes:

[0021] Performing data signal analysis processing on the processing result to obtain motion information of the abnormal object, and then judging the motion state of the abnormal object according to the motion information, and then determining whether it is necessary to adjust the abnormality elimination broadcast to an on state according to the judgment result;

[0022] If the determination result is that the abnormal object is located at the tunnel boundary and the abnormal object is in motion, it is determined that there is no need to trigger the abnormality elimination broadcast, and the abnormal object is continuously monitored;

[0023] If the judgment result is that the position of the abnormal object is not at the tunnel boundary or the abnormal object is in a stationary state, it is determined that the abnormal elimination broadcast needs to be triggered, and the abnormal object is continuously monitored.

[0024] By performing digital signal analysis on the processed signal, the motion information of the abnormal object, including data such as the position and speed of the abnormal object, is obtained. Based on the obtained motion information, the system can determine the motion state of the abnormal object, that is, whether it is in motion and the direction of the object. The motion state of the object is further judged so that the system can determine whether it is necessary to start the abnormal elimination broadcast and continuously monitor the object based on the judgment result.

[0025] If the object is found to be at the tunnel entrance and in motion, it means that the object is most likely an abnormal living being that has entered the tunnel by mistake. There is no need to start broadcasting immediately, and you can wait for it to exit the tunnel automatically. If the abnormal object is found to have entered the tunnel and is stationary, it means that the abnormal living being is most likely not entering the tunnel by mistake, so you need to start broadcasting immediately to warn it to exit the tunnel. Regardless of whether the abnormal object has entered the tunnel by mistake, the system will continuously monitor it to ensure that the abnormal object will not stay in the tunnel, causing the normal operation of the tunnel to be affected.

[0026] As a preferred example, determining whether the abnormal object has been eliminated according to the monitoring result specifically includes:

[0027] If the monitoring result shows that the abnormal object is in motion and the moving direction is toward the tunnel entrance, the abnormal object is continuously monitored until the received reflection signal is in a normal state;

[0028] If the monitoring result shows that the abnormal object is in motion but the direction of motion is toward the tunnel, the abnormal elimination broadcast is adjusted to a strong expulsion state, and the abnormal object is continuously monitored;

[0029] If the monitoring result shows that the abnormal object is in a stationary state, an abnormal alarm signal is triggered and an abnormal monitoring report is generated according to the movement information of the abnormal object and fed back to a designated terminal.

[0030] Depending on the different results of the device's continuous monitoring of abnormal objects, the system will adopt different response logics, which improves the flexibility of logical responses to different types of abnormal objects. At the same time, selecting the corresponding response logic according to different monitoring conditions also improves the success rate of expelling abnormal objects.

[0031] Correspondingly, an embodiment of the present invention further provides a tunnel anomaly monitoring device based on sound waves, the tunnel anomaly monitoring device comprising a signal triggering module and a signal processing module;

[0032] The signal trigger module is used to respond to a preset triggered abnormal monitoring signal, determine and adjust the corresponding sound wave monitoring device to an on state according to the abnormal monitoring signal, so that the sound wave monitoring device emits sound waves and receives reflected sound waves;

[0033] The signal processing module is used to convert the received reflected sound waves into electrical signal form, and perform signal processing on the converted reflected signals through a preset signal processing method, and then after determining that there are abnormal objects in the tunnel based on the processing results, adjust the abnormal elimination broadcast to the on state and continuously monitor the abnormal objects, and then determine whether the abnormal objects have been eliminated based on the monitoring results.

[0034] As a preferred example, the signal triggering module responds to a preset triggered abnormal monitoring signal, determines and adjusts the corresponding sound wave monitoring device to an on state according to the abnormal monitoring signal, specifically including:

[0035] Respond to and analyze the abnormal monitoring signal to obtain the current time point and the number of the device to be opened, and at the same time collect and obtain the current tunnel operation status, and call the corresponding abnormal monitoring mode according to the current time point and the current tunnel operation status;

[0036] The acoustic wave monitoring device is connected and controlled according to the number of the device to be turned on, and the parameters of the acoustic wave monitoring device are adjusted according to the abnormal monitoring mode, and then the adjusted acoustic wave monitoring device is adjusted to the turned-on state.

[0037] As a preferred example, the signal processing module performs signal processing on the converted reflection signal by a preset signal processing method, specifically including:

[0038] Performing filtering and signal amplification processing on the reflected signal in sequence, so that the processed reflected signal corresponds to and is associated with the sound wave emitted by the sound wave monitoring device one by one;

[0039] Calculate the echo time difference according to the associated reception time of the reflected signal and the emission time of the sound wave, and compare the calculated echo time difference with the standard time difference to obtain a comparison result;

[0040] If the comparison result shows that the difference between the echo time difference and the standard time difference is within a normal range, it means that the echo time difference is in a normal state, and it is determined that there is no abnormal object in the tunnel;

[0041] If the comparison result is that the difference between the echo time difference and the standard time difference is not within the normal range, it means that the echo time difference is not in a normal state, and then it is determined that the abnormal object exists in the tunnel.

[0042] As a preferred example, after the signal processing module determines that there is an abnormal object in the tunnel according to the processing result, it adjusts the abnormality elimination broadcast to the open state and continuously monitors the abnormal object, specifically including:

[0043] Performing data signal analysis processing on the processing result to obtain motion information of the abnormal object, and then judging the motion state of the abnormal object according to the motion information, and then determining whether it is necessary to adjust the abnormality elimination broadcast to an on state according to the judgment result;

[0044] If the determination result is that the abnormal object is located at the tunnel boundary and the abnormal object is in motion, it is determined that there is no need to trigger the abnormality elimination broadcast, and the abnormal object is continuously monitored;

[0045] If the judgment result is that the position of the abnormal object is not at the tunnel boundary or the abnormal object is in a stationary state, it is determined that the abnormal elimination broadcast needs to be triggered, and the abnormal object is continuously monitored.

[0046] As a preferred example, the signal processing module continuously monitors the abnormal object until the received reflection signal is in a normal state;

[0047] If the monitoring result shows that the abnormal object is in motion but the direction of motion is toward the tunnel, the abnormal elimination broadcast is adjusted to a strong expulsion state, and the abnormal object is continuously monitored;

[0048] If the monitoring result shows that the abnormal object is in a stationary state, an abnormal alarm signal is triggered and an abnormal monitoring report is generated according to the movement information of the abnormal object and fed back to a designated terminal. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] Figure 1 : A flow chart of an embodiment of a tunnel abnormality monitoring method based on sound waves provided by the present invention;

[0050] Figure 2 : A schematic structural diagram of an embodiment of a tunnel anomaly monitoring device based on sound waves provided by the present invention. DETAILED DESCRIPTION

[0051] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0052] Embodiment 1

[0053] Please refer to Figure 1 , which is a flow chart of an embodiment of a tunnel abnormality monitoring method based on sound waves provided by the present invention, including steps 101 to 102, each of which is specifically as follows:

[0054] Step 101: In response to a preset triggered abnormal monitoring signal, determine and adjust a corresponding sound wave monitoring device to an on state according to the abnormal monitoring signal, so that the sound wave monitoring device transmits sound waves and receives reflected sound waves.

[0055] The tunnel abnormality monitoring method provided by the embodiment of the present invention first adjusts the corresponding sound wave monitoring device to the on state according to the response abnormal monitoring signal, so that the sound wave monitoring device after being turned on emits sound waves and receives reflected signals. By analyzing the response abnormal monitoring signal and then determining the sound wave monitoring device that needs to be turned on, accurate monitoring of different areas in the tunnel is achieved. At the same time, the sound wave monitoring device is turned on at a scheduled time through the signal, and the operating state of the sound wave monitoring device is flexibly adjusted, which ensures the efficiency of tunnel monitoring while saving the energy consumption of the sound wave monitoring device.

[0056] In this embodiment, in response to the preset triggered abnormal monitoring signal, determining and adjusting the corresponding sound wave monitoring device to the turned-on state according to the abnormal monitoring signal specifically includes:

[0057] Respond to and analyze the abnormal monitoring signal to obtain the current time point and the number of the device to be opened, and at the same time collect and obtain the current tunnel operation status, and call the corresponding abnormal monitoring mode according to the current time point and the current tunnel operation status;

[0058] The acoustic wave monitoring device is connected and controlled according to the number of the device to be turned on, and the parameters of the acoustic wave monitoring device are adjusted according to the abnormal monitoring mode, and then the adjusted acoustic wave monitoring device is adjusted to the turned-on state.

[0059] In order to achieve accurate monitoring of the area inside the tunnel, the tunnel abnormality monitoring method provided by the embodiment of the present invention first obtains the current time point, the current tunnel operation status and the number of the device to be opened according to the signal after the monitoring signal is triggered, and calls the corresponding abnormal monitoring mode according to the current time point and the current operation status of the tunnel. The abnormal monitoring mode includes parameters such as monitoring frequency and monitoring time period. The monitoring method is more in line with the current tunnel situation by customizing the monitoring mode.

[0060] In this embodiment, the user can improve the automated tunnel monitoring method by presetting more different monitoring modes. Each monitoring mode includes various parameters such as monitoring time period, monitoring frequency, and monitoring duration. At the same time, the user can also set the trigger point of the abnormal monitoring signal to achieve fully automated operation of tunnel monitoring.

[0061] Before the system selects different monitoring modes to adjust the parameters of the acoustic wave monitoring device, the system will also comprehensively judge the monitoring mode that is more suitable for monitoring the tunnel at the current moment based on the current time point and the current operating status of the tunnel. For example: if the tunnel maintenance personnel are carrying out maintenance in part of the tunnel, the acoustic wave monitoring device in that part of the tunnel needs to be adjusted to the closed state to prevent the device from mistakenly identifying the maintenance personnel as abnormal objects and expelling them; if part of the tunnel belongs to the acceptance stage of the results of the maintenance, the monitoring frequency of the acoustic wave monitoring device in that part of the tunnel needs to be increased to determine whether the safety of the newly maintained tunnel meets the standards. After the parameter adjustment is completed, the acoustic wave monitoring device will regularly send monitoring sound waves and receive reflected waves rebounded from the tunnel wall to provide technical data for subsequent system signal analysis.

[0062] Step 102: Convert the received reflected sound wave into an electrical signal, and perform signal processing on the converted reflected signal by a preset signal processing method, and then determine that there is an abnormal object in the tunnel based on the processing result, adjust the abnormal elimination broadcast to the on state and continuously monitor the abnormal object, and then determine whether the abnormal object has been eliminated based on the monitoring result.

[0063] The received reflected signal is converted into an electrical signal, and the electrical signal is processed to determine whether there are abnormal objects in the tunnel. After determining that there are abnormal objects, the abnormal elimination broadcast is turned on to expel the abnormal objects, so as to timely monitor and eliminate abnormal objects. The reflected waves formed by sound waves are used to monitor abnormal conditions in the tunnel. Compared with camera monitoring and infrared monitoring, its monitoring range is wider and less dependent on the surrounding environment during monitoring, which reduces the difficulty of monitoring abnormalities in the tunnel. At the same time, the monitoring accuracy of determining whether there are abnormalities in the tunnel and whether abnormal objects can be expelled through reflected signals is higher.

[0064] Specifically, the signal processing of the converted reflection signal by a preset signal processing method described in this embodiment specifically includes:

[0065] Performing filtering and signal amplification processing on the reflected signal in sequence, so that the processed reflected signal corresponds to and is associated with the sound wave emitted by the sound wave monitoring device one by one;

[0066] Calculate the echo time difference according to the associated reception time of the reflected signal and the emission time of the sound wave, and compare the calculated echo time difference with the standard time difference to obtain a comparison result;

[0067] If the comparison result shows that the difference between the echo time difference and the standard time difference is within a normal range, it means that the echo time difference is in a normal state, and it is determined that there is no abnormal object in the tunnel;

[0068] If the comparison result is that the difference between the echo time difference and the standard time difference is not within the normal range, it means that the echo time difference is not in a normal state, and then it is determined that the abnormal object exists in the tunnel.

[0069] By filtering and amplifying the reflected signal, it is convenient for the subsequent system to process and analyze it, and at the same time improve the efficiency of subsequent signal processing. By associating the reflected signal with its corresponding transmitted signal, the echo time difference can be calculated based on the emission time point of the transmitted signal and the reception time point of the reflected signal, and the presence of abnormal objects in the tunnel can be determined based on the comparison result of the echo time difference and the standard time difference corresponding to the absence of abnormalities in the tunnel. If there are abnormal objects in the tunnel, the sound waves will contact the abnormal objects before spreading to the tunnel wall. Therefore, the time required for the reflected signal generated by it to return to the sound wave monitoring device is shorter than the time required for the reflected signal generated by the normal spread to the tunnel wall to return to the sound wave monitoring device. Therefore, based on the two time differences, it is possible to determine whether there are abnormal objects in the tunnel, providing reference data for subsequent system abnormality monitoring.

[0070] In this embodiment, since the position of each sound wave monitoring device is a fixed attribute, if there is no abnormal object in the tunnel, then in an ideal state, the time difference between each time the monitoring device transmits the sound wave and receives the reflected sound wave is the same. However, considering that there may be various factors in the tunnel that affect the sound wave propagation process, the system will set a difference between the standard time difference and the echo time difference calculated to be monitored as the error allowed between the monitoring and the standard. Therefore, as long as the difference between the echo time difference and the standard time difference does not exceed the error range set by the system, it is determined that there is no abnormal object and the original monitoring plan will continue to be executed. If the difference between the echo time difference and the standard time difference exceeds the error range set by the system, it is determined that there is an abnormal object in the tunnel, and the system needs to further monitor the abnormal object to ensure that the abnormal object will not have an adverse effect on the normal operation of the tunnel.

[0071] Furthermore, after determining that an abnormal object exists in the tunnel according to the processing result, the embodiment of the present invention adjusts the abnormality elimination broadcast to an on state and continuously monitors the abnormal object, specifically including:

[0072] Performing data signal analysis processing on the processing result to obtain motion information of the abnormal object, and then judging the motion state of the abnormal object according to the motion information, and then determining whether it is necessary to adjust the abnormality elimination broadcast to an on state according to the judgment result;

[0073] If the determination result is that the abnormal object is located at the tunnel boundary and the abnormal object is in motion, it is determined that there is no need to trigger the abnormality elimination broadcast, and the abnormal object is continuously monitored;

[0074] If the judgment result is that the position of the abnormal object is not at the tunnel boundary or the abnormal object is in a stationary state, it is determined that the abnormal elimination broadcast needs to be triggered, and the abnormal object is continuously monitored.

[0075] By performing digital signal analysis on the processed signal, the motion information of the abnormal object, including data such as the position and speed of the abnormal object, is obtained. Based on the obtained motion information, the system can determine the motion state of the abnormal object, that is, whether it is in motion and the direction of the object. The motion state of the object is further judged so that the system can determine whether it is necessary to start the abnormal elimination broadcast and continuously monitor the object based on the judgment result.

[0076] If the object is found to be at the tunnel entrance and in motion, it means that the object is most likely an abnormal living being that has entered the tunnel by mistake. There is no need to start broadcasting immediately, and you can wait for it to exit the tunnel automatically. If the abnormal object is found to have entered the tunnel and is stationary, it means that the abnormal living being is most likely not entering the tunnel by mistake, so you need to start broadcasting immediately to warn it to exit the tunnel. Regardless of whether the abnormal object has entered the tunnel by mistake, the system will continuously monitor it to ensure that the abnormal object will not stay in the tunnel, causing the normal operation of the tunnel to be affected.

[0077] In this embodiment, before the system determines that an abnormal object needs to be broadcast and expelled and after determining that an abnormal object exists in the tunnel, the system will also continuously monitor the sound waves in the tunnel area where the abnormal object is determined to exist for a period of time, and if it is determined that the reflected sound wave signals in this period of time have large fluctuations, that is, the fluctuation amplitude of the reflected sound wave signal in the continuous monitoring period is greater than the fluctuation threshold set by the system, it is determined that an abnormal object exists in the tunnel and needs to be expelled.

[0078] In this embodiment, the system can determine the position, speed and direction of movement of the abnormal object by analyzing the time delay, signal strength and frequency change of the reflected wave signal, and further determine the movement state of the abnormal object based on the determined movement information, that is, whether the abnormal object needs to be broadcast and expelled. Only when it is determined that the abnormal object is inside the tunnel rather than at the edge of the tunnel, and its movement direction is toward the depth of the tunnel, it is determined that the abnormal elimination broadcast needs to be triggered and the abnormal object that triggered the broadcast is continuously monitored.

[0079] Furthermore, in this embodiment, determining whether the abnormal object has been eliminated according to the monitoring result specifically includes:

[0080] If the monitoring result shows that the abnormal object is in motion and the moving direction is toward the tunnel entrance, the abnormal object is continuously monitored until the received reflection signal is in a normal state;

[0081] If the monitoring result shows that the abnormal object is in motion but the direction of motion is toward the tunnel, the abnormal elimination broadcast is adjusted to a strong expulsion state, and the abnormal object is continuously monitored;

[0082] If the monitoring result shows that the abnormal object is in a stationary state, an abnormal alarm signal is triggered and an abnormal monitoring report is generated according to the movement information of the abnormal object and fed back to a designated terminal.

[0083] Depending on the different results of the device's continuous monitoring of abnormal objects, the system will adopt different response logics, which improves the flexibility of logical responses to different types of abnormal objects. At the same time, selecting the corresponding response logic according to different monitoring conditions also improves the success rate of expelling abnormal objects.

[0084] In this embodiment, if the system determines based on the continuous monitoring result that the abnormal object adjusts its movement direction toward the tunnel entrance after receiving the broadcast, there is no need to further expel the abnormal object, that is, there is no need to further adjust the expulsion method.

[0085] If the system finds that the abnormal object is still moving towards the depth of the tunnel after receiving the abnormal elimination broadcast, it will further adjust the expulsion method, that is, adjust the broadcast to a strong expulsion state, improve the expulsion effect of the broadcast on abnormal objects, and continuously monitor the movement state of the abnormal object until the abnormal object adjusts its movement direction and leaves the tunnel. If the abnormal object still maintains its original movement direction after the broadcast adjustment, the system will trigger an abnormal alarm signal and feedback an abnormal monitoring report, prompting the operation and maintenance personnel that an abnormal object has appeared in the tunnel and cannot be eliminated normally. At the same time, the summarized abnormal monitoring report helps the operation and maintenance personnel understand and eliminate the abnormal object, thereby improving the abnormal elimination efficiency of the operation and maintenance personnel.

[0086] Similarly, if the system finds that the abnormal object is stationary when receiving the abnormal elimination broadcast, it will also trigger the system's abnormal alarm signal, prompting the operation and maintenance personnel to manually eliminate the abnormal object.

[0087] In order to better illustrate the working principle and step flow of the method and device for monitoring anomalies in a tunnel based on sound waves of the present invention, reference may be made to, but is not limited to, the relevant records above.

[0088] Accordingly, see Figure 2 , Figure 2 This is a schematic diagram of the structure of an embodiment of a tunnel anomaly monitoring device based on sound waves provided by the present invention. Figure 2 As shown, the tunnel abnormality monitoring device includes a signal triggering module 201 and a signal processing module 202 .

[0089] The signal trigger module 201 is used to respond to a preset triggered abnormal monitoring signal, determine and adjust the corresponding sound wave monitoring device to an on state according to the abnormal monitoring signal, so that the sound wave monitoring device emits sound waves and receives reflected sound waves.

[0090] Furthermore, the signal triggering module 201 responds to the preset triggered abnormal monitoring signal, determines and adjusts the corresponding sound wave monitoring device to the turned-on state according to the abnormal monitoring signal, specifically including:

[0091] Respond to and parse the abnormal monitoring signal to obtain the current time point and the number of the device to be opened, and at the same time collect and obtain the current tunnel operation status, and call the corresponding abnormal monitoring mode according to the current time point and the current tunnel operation status; connect and control the sound wave monitoring device according to the number of the device to be opened, and adjust the parameters of the sound wave monitoring device according to the abnormal monitoring mode, and then adjust the adjusted sound wave monitoring device to the open state.

[0092] The signal processing module 202 is used to convert the received reflected sound waves into electrical signal form, and perform signal processing on the converted reflected signals through a preset signal processing method, and then after determining that there are abnormal objects in the tunnel based on the processing results, adjust the abnormal elimination broadcast to the on state and continuously monitor the abnormal objects, and then determine whether the abnormal objects have been eliminated based on the monitoring results.

[0093] Furthermore, the signal processing module 202 performs signal processing on the converted reflection signal by a preset signal processing method, specifically including:

[0094] The reflected signal is filtered and amplified in sequence, so that the processed reflected signal corresponds to and is associated with the sound wave emitted by the sound wave monitoring device; the echo time difference is calculated according to the associated reception time of the reflected signal and the emission time of the sound wave, and the calculated echo time difference is compared with the standard time difference to obtain a comparison result;

[0095] If the comparison result is that the difference between the echo time difference and the standard time difference is within the normal range, it means that the echo time difference is in a normal state, and it is determined that the abnormal object does not exist in the tunnel; if the comparison result is that the difference between the echo time difference and the standard time difference is not within the normal range, it means that the echo time difference is not in a normal state, and it is determined that the abnormal object exists in the tunnel.

[0096] Furthermore, after the signal processing module 202 determines that there is an abnormal object in the tunnel according to the processing result, it adjusts the abnormality elimination broadcast to the on state and continuously monitors the abnormal object, specifically including:

[0097] Performing data signal analysis processing on the processing result to obtain motion information of the abnormal object, and then judging the motion state of the abnormal object according to the motion information, and then determining whether it is necessary to adjust the abnormality elimination broadcast to an on state according to the judgment result;

[0098] If the judgment result is that the position of the abnormal object is at the tunnel boundary and the abnormal object is in motion, it is determined that there is no need to trigger the abnormal elimination broadcast, and the abnormal object is continuously monitored; if the judgment result is that the position of the abnormal object is not at the tunnel boundary or the abnormal object is in a stationary state, it is determined that the abnormal elimination broadcast needs to be triggered, and the abnormal object is continuously monitored.

[0099] Furthermore, the signal processing module 202 continuously monitors the abnormal object until the received reflection signal is in a normal state;

[0100] If the monitoring result shows that the abnormal object is in motion but the direction of movement is toward the tunnel, the abnormal exclusion broadcast is adjusted to a strong expulsion state, and the abnormal object is continuously monitored; if the monitoring result shows that the abnormal object is in a stationary state, an abnormal alarm signal is triggered and an abnormal monitoring report is generated based on the movement information of the abnormal object and fed back to the designated terminal.

[0101] In summary, the embodiment of the present invention provides a method and device for monitoring tunnel anomalies based on sound waves. According to the response abnormal monitoring signal, the corresponding sound wave monitoring device is adjusted to the on state, so that the device generates sound waves and receives reflected signals, and the received reflected signals are converted into forms and processed in sequence. After determining that there are abnormal objects in the tunnel according to the processing results, the abnormal elimination broadcast is turned on and the abnormal objects are continuously monitored, and then it is determined whether the abnormal objects have been eliminated according to the monitoring results. The present invention determines the sound wave monitoring device that needs to be turned on through the abnormal monitoring signal, realizes accurate monitoring of different areas in the tunnel, ensures the monitoring efficiency and saves the energy consumption of the sound wave monitoring device; the abnormal conditions in the tunnel are monitored by the reflected waves formed by the sound waves, the monitoring range is wider and the dependence on the surrounding environment is less, which reduces the difficulty of monitoring and improves the accuracy of the monitoring results.

[0102] The specific embodiments described above further illustrate the purpose, technical solutions and beneficial effects of the present invention. It should be understood that the above description is only a specific embodiment of the present invention and is not intended to limit the scope of protection of the present invention. It is particularly pointed out that for those skilled in the art, any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the scope of protection of the present invention.

Claims

1. A tunnel anomaly monitoring method based on sound waves, characterized in that: The following steps are involved: In response to a preset triggered abnormal monitoring signal, determining and adjusting a corresponding sound wave monitoring device to an on state according to the abnormal monitoring signal, so that the sound wave monitoring device emits sound waves and receives reflected sound waves; The received reflected sound waves are converted into electrical signals, and the converted reflected signals are processed by a preset signal processing method. After determining that an abnormal object exists in the tunnel according to the processing result, the abnormal elimination broadcast is adjusted to the on state and the abnormal object is continuously monitored, and then it is determined whether the abnormal object has been eliminated according to the monitoring result; Determining whether the abnormal object has been eliminated according to the monitoring result specifically includes: if the monitoring result shows that the abnormal object is in motion and the moving direction is toward the tunnel entrance, continuously monitoring the abnormal object until the received reflection signal is in a normal state; If the monitoring result shows that the abnormal object is in motion but the direction of motion is toward the tunnel, the abnormal elimination broadcast is adjusted to a strong expulsion state, and the abnormal object is continuously monitored; If the monitoring result shows that the abnormal object is in a stationary state, an abnormal alarm signal is triggered and an abnormal monitoring report is generated according to the movement information of the abnormal object and fed back to the designated terminal; The signal processing of the converted reflected signal by a preset signal processing method includes: Calculate the echo time difference according to the associated reception time of the reflected signal and the emission time of the sound wave, and compare the calculated echo time difference with the standard time difference to obtain a comparison result; After determining that there is an abnormal object in the tunnel according to the processing result, adjusting the abnormality elimination broadcast to an on state and continuously monitoring the abnormal object, specifically includes: The processing result is subjected to data signal analysis processing to obtain motion information of the abnormal object, and then the motion state of the abnormal object is judged according to the motion information, and then it is determined whether the abnormal elimination broadcast needs to be adjusted to an on state according to the judgment result.

2. The method for monitoring tunnel anomalies based on sound waves according to claim 1, characterized in that: The responding to the preset triggered abnormal monitoring signal, determining and adjusting the corresponding sound wave monitoring device to the turned-on state according to the abnormal monitoring signal, specifically includes: Respond to and analyze the abnormal monitoring signal to obtain the current time point and the number of the device to be opened, and at the same time collect and obtain the current tunnel operation status, and call the corresponding abnormal monitoring mode according to the current time point and the current tunnel operation status; The acoustic wave monitoring device is connected and controlled according to the number of the device to be turned on, and the parameters of the acoustic wave monitoring device are adjusted according to the abnormal monitoring mode, and then the adjusted acoustic wave monitoring device is adjusted to the turned-on state.

3. The method for monitoring tunnel anomalies based on sound waves according to claim 1, characterized in that: The signal processing of the converted reflected signal by a preset signal processing method also includes: Performing filtering and signal amplification processing on the reflected signal in sequence, so that the processed reflected signal corresponds to and is associated with the sound wave emitted by the sound wave monitoring device one by one; If the comparison result shows that the difference between the echo time difference and the standard time difference is within a normal range, it means that the echo time difference is in a normal state, and it is determined that there is no abnormal object in the tunnel; If the comparison result is that the difference between the echo time difference and the standard time difference is not within the normal range, it means that the echo time difference is not in a normal state, and then it is determined that the abnormal object exists in the tunnel.

4. The method for monitoring tunnel anomalies based on sound waves according to claim 1, characterized in that: After determining that there is an abnormal object in the tunnel according to the processing result, adjusting the abnormality elimination broadcast to an on state and continuously monitoring the abnormal object, it also includes: If the determination result is that the abnormal object is located at the tunnel boundary and the abnormal object is in motion, it is determined that there is no need to trigger the abnormality elimination broadcast, and the abnormal object is continuously monitored; If the judgment result is that the position of the abnormal object is not at the tunnel boundary or the abnormal object is in a stationary state, it is determined that the abnormal elimination broadcast needs to be triggered, and the abnormal object is continuously monitored.

5. A tunnel anomaly monitoring device based on sound waves, characterized in that: The tunnel anomaly monitoring device comprises a signal triggering module and a signal processing module; The signal trigger module is used to respond to a preset triggered abnormal monitoring signal, determine and adjust the corresponding sound wave monitoring device to an on state according to the abnormal monitoring signal, so that the sound wave monitoring device emits sound waves and receives reflected sound waves; The signal processing module is used to convert the received reflected sound waves into an electrical signal form, and perform signal processing on the converted reflected signal by a preset signal processing method, and then after determining that there is an abnormal object in the tunnel according to the processing result, adjust the abnormal elimination broadcast to the open state and continuously monitor the abnormal object, and then determine whether the abnormal object has been eliminated according to the monitoring result; Determining whether the abnormal object has been eliminated according to the monitoring result specifically includes: if the monitoring result shows that the abnormal object is in motion and the moving direction is toward the tunnel entrance, continuously monitoring the abnormal object until the received reflection signal is in a normal state; if the monitoring result shows that the abnormal object is in motion but the moving direction is toward the tunnel, adjusting the abnormal elimination broadcast to a strong expulsion state, and continuously monitoring the abnormal object; if the monitoring result shows that the abnormal object is in a stationary state, triggering an abnormal alarm signal and generating an abnormal monitoring report based on the movement information of the abnormal object and feeding it back to the designated terminal; The signal processing module performs signal processing on the converted reflection signal by a preset signal processing method, including: Calculate the echo time difference according to the associated reception time of the reflected signal and the emission time of the sound wave, and compare the calculated echo time difference with the standard time difference to obtain a comparison result; After the signal processing module determines that there is an abnormal object in the tunnel according to the processing result, the abnormality elimination broadcast is adjusted to an on state and the abnormal object is continuously monitored, including: The processing result is subjected to data signal analysis processing to obtain motion information of the abnormal object, and then the motion state of the abnormal object is judged according to the motion information, and then it is determined whether the abnormal elimination broadcast needs to be adjusted to an on state according to the judgment result.

6. The tunnel anomaly monitoring device based on sound waves according to claim 5, characterized in that: The signal trigger module responds to a preset triggered abnormal monitoring signal, determines and adjusts the corresponding sound wave monitoring device to an on state according to the abnormal monitoring signal, specifically including: Respond to and analyze the abnormal monitoring signal to obtain the current time point and the number of the device to be opened, and at the same time collect and obtain the current tunnel operation status, and call the corresponding abnormal monitoring mode according to the current time point and the current tunnel operation status; The acoustic wave monitoring device is connected and controlled according to the number of the device to be turned on, and the parameters of the acoustic wave monitoring device are adjusted according to the abnormal monitoring mode, and then the adjusted acoustic wave monitoring device is adjusted to the turned-on state.

7. The tunnel anomaly monitoring device based on sound waves according to claim 5, characterized in that: The signal processing module processes the converted reflected signal by a preset signal processing method, and further includes: Performing filtering and signal amplification processing on the reflected signal in sequence, so that the processed reflected signal corresponds to and is associated with the sound wave emitted by the sound wave monitoring device one by one; If the comparison result shows that the difference between the echo time difference and the standard time difference is within a normal range, it means that the echo time difference is in a normal state, and it is determined that there is no abnormal object in the tunnel; If the comparison result is that the difference between the echo time difference and the standard time difference is not within the normal range, it means that the echo time difference is not in a normal state, and then it is determined that the abnormal object exists in the tunnel.

8. The tunnel anomaly monitoring device based on sound waves according to claim 5, characterized in that: After the signal processing module determines that there is an abnormal object in the tunnel according to the processing result, the abnormal elimination broadcast is adjusted to the open state and the abnormal object is continuously monitored, and further includes: If the determination result is that the abnormal object is located at the tunnel boundary and the abnormal object is in motion, it is determined that there is no need to trigger the abnormality elimination broadcast, and the abnormal object is continuously monitored; If the judgment result is that the position of the abnormal object is not at the tunnel boundary or the abnormal object is in a stationary state, it is determined that the abnormal elimination broadcast needs to be triggered, and the abnormal object is continuously monitored.

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