A cable force monitoring device, a cable force monitoring system and a monitoring method thereof
By introducing power management systems and threshold monitoring components into the bridge cable force monitoring equipment, combined with NB-IoT wireless communication module and Bluetooth connection, the problems of inconvenient equipment setup, power monitoring and data overload are solved, and low power consumption and real-time are achieved Monitoring improves the convenience and efficiency of bridge cable force monitoring.
Patent Information
- Application Number
- CN202010979147.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2020-09-17
- Publication Date
- 2024-12-27
- Estimated Expiration
- 2040-09-17
AI Technical Summary
The existing bridge cable monitoring equipment has problems such as inconvenient connection with the USB interface to the computer, high power consumption requires frequent replacement of lithium batteries, inability to monitor the lithium battery power, and cloud data overload.
Design a cable force monitoring device, including a MEMS acceleration sensor, a acquisition circuit board and an NB-IoT wireless communication module, and the acquisition circuit board is equipped with a power management system, signal conditioning conversion element, threshold monitoring element, Bluetooth element and real-time clock element. Conveniently set parameters through Bluetooth components, power management system monitors power, and threshold monitoring components monitor acceleration data in real time, real-time, low power consumption and remote monitoring.
It realizes convenient setting of cable force monitoring device parameters, extends battery life time, reduces cloud data overload, and promptly reminds monitoring personnel to pull cable force abnormalities, improving the convenience and efficiency of monitoring.
Smart Images

Figure CN112050986B_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of bridge engineering, and in particular to a cable force monitoring device for monitoring the cable force of a bridge, a cable force monitoring system and a monitoring method thereof. Background Art
[0002] Cables are important force transmission and load bearing components in cable bridge structures, generally including the cable of cable-stayed bridges, and the slings (or hangers) of suspension bridges and arch bridges. The size of the cable force will directly affect the safety of the entire bridge during construction and service, so its accurate measurement plays a very important role in the construction control, later bridge maintenance management and health monitoring of such bridges.
[0003] Chinese utility model patent CN206450355U discloses a bridge cable tension monitoring device based on NB-IoT communication, including: MEMS acceleration sensor, acquisition circuit board, lithium battery and NB-IoT wireless communication module, wherein the acquisition circuit board is composed of signal conditioning circuit, A / D converter, microcontroller and USB interface; the USB interface is connected to the computer to set the parameters of the cable tension monitoring device in the initial state, the microcontroller realizes acquisition control and converts the acceleration data sensed by the MEMS acceleration sensor into cable tension data through the built-in algorithm program, the microcontroller is connected to the NB-IoT wireless communication module, and the data is sent to the cloud network server through the NB-IoT wireless communication module.
[0004] However, the bridge cable force monitoring device disclosed in the utility model patent has the following problems:
[0005] 1. A USB interface is set on the cable force monitoring device, and the cable force monitoring device is connected to a computer through the USB interface to set the parameters of the cable force monitoring device. Therefore, the monitoring personnel need to carry a computer and a data connection cable with them, which is inconvenient to use;
[0006] 2. This cable force monitoring device is always in the working state of cable force monitoring, data conversion and data uploading, which consumes a lot of power, so the lithium battery needs to be replaced frequently;
[0007] 3. Cloud monitoring personnel cannot sense the lithium battery power of this cable force monitoring device. Once the lithium battery is exhausted, it will cause the cable force monitoring to fail and the device data to be lost.
[0008] 4. When the cable force monitoring equipment detects that the cable force is normal, it will still upload a large amount of data to the cloud in real time, resulting in too much data in the cloud. It is difficult for monitoring personnel to read the monitoring data, and monitoring personnel are required to screen the cable force data to determine whether it is normal.
[0009] Therefore, it is necessary to provide a new cable force monitoring device, a cable force monitoring system and a monitoring method thereof to solve the above problems. Summary of the invention
[0010] The present invention provides a cable force monitoring device, a cable force monitoring system and a monitoring method thereof, so as to achieve the purpose of convenient parameter setting, timed monitoring, threshold monitoring and remote monitoring of the cable force monitoring device.
[0011] In order to achieve the above-mentioned purpose, the present invention provides a rope force monitoring device, comprising: a MEMS acceleration sensor, an acquisition circuit board, a battery and an NB-IoT wireless communication module, the acquisition circuit board comprises a power management system, a signal conditioning conversion element, a threshold monitoring element, a Bluetooth element, a real-time clock element and a microcontroller, the power management system is connected to the signal conditioning conversion element, the threshold monitoring element, the Bluetooth element, the real-time clock element and the microcontroller, the signal conditioning conversion element is connected to the threshold monitoring element, the signal conditioning conversion element, the threshold monitoring element, the Bluetooth element, and the real-time clock element are respectively connected to the microcontroller; the MEMS acceleration sensor is connected to the acquisition circuit board, the acquisition circuit board is connected to the NB-IoT wireless communication module, the battery is connected to the acquisition circuit board and controls the MEMS acceleration sensor The sensor, the acquisition circuit board and the NB-IoT wireless communication module are powered; the MEMS acceleration sensor collects the acceleration signal in real time and transmits it to the signal conditioning conversion element, the signal conditioning conversion element amplifies, filters and converts the acceleration signal into acceleration data a, the real-time clock element triggers the microcontroller at a normal time interval to collect the acceleration data a of the signal conditioning conversion element at a normal time interval, the microcontroller converts the acceleration data a into cable force data through a built-in algorithm program and transmits the cable force data to the NB-IoT wireless communication module, and the NB-IoT wireless communication module uploads the acquired cable force data to the cloud; the signal conditioning conversion element also transmits the acceleration data a to the threshold monitoring element in real time, and the threshold monitoring element monitors whether the acquired acceleration data a exceeds the maximum threshold value a of the acceleration data max阈 Or is it below the minimum threshold a of the acceleration data? min阈 , when the monitored acceleration data a exceeds the maximum acceleration data threshold a max阈 Or below the minimum acceleration data threshold a min阈 When the threshold monitoring element triggers the microcontroller at an encrypted time interval to collect the acceleration data a of the signal conditioning conversion element at an encrypted time interval, the microcontroller converts the acceleration data a into rope force data through a built-in algorithm program and transmits the rope force data to the NB-IoT wireless communication module, and the NB-IoT wireless communication module uploads the acquired rope force data to the cloud.
[0012] Furthermore, the Bluetooth component is used to connect to a short-range device end, and the short-range device end sets the normal time interval of the real-time clock component and the encrypted time interval of the threshold monitoring component.
[0013] Furthermore, the power management system is used to monitor the battery power. The short-range device sets the normal time interval for the power management system to collect battery power information through the Bluetooth component. The power management system collects battery power data at normal time intervals and transmits the battery power data to the microcontroller to be uploaded to the cloud through the NB-IoT wireless communication module.
[0014] Furthermore, in the initial state, the real-time clock element triggers the microcontroller at a normal time interval to collect acceleration data a of the signal conditioning conversion element at a certain frequency F, and obtains a total of K acceleration data a, and the microcontroller selects the maximum acceleration data a among the K acceleration data a. max And the minimum value of acceleration data a min , after N normal time intervals, N maximum acceleration data a are screened out max And the minimum value a of N acceleration data min , and calculate the maximum value a of the N acceleration data max The average value and the minimum value a of N acceleration data min The average value of a max平 and a min平 , and with a max平 M1 times as the maximum threshold a of acceleration data max阈 and a min平 M2 times as the minimum threshold a of acceleration data min阈 Transmitted to the threshold monitoring element.
[0015] Furthermore, when the cable force monitoring device enters the normal real-time monitoring state, the microcontroller obtains the latest maximum value a of the acceleration data at a normal time interval. max And the minimum value of acceleration data a min , the maximum value a of the first collected acceleration data will be eliminated max And the minimum value of acceleration data a min , keep the maximum value a of N acceleration data in real time max And the minimum value of acceleration data a min Calculate the average value to get a max平 and a min平 , and with a max平 M1 times as the maximum threshold a of acceleration data max阈 and a min平 M2 times as the minimum threshold a of acceleration data min阈 , the microcontroller calculates the maximum threshold a currentlymax阈 and the minimum threshold a min阈 The maximum threshold a calculated when exceeding or falling below the initial state max阈 and the minimum threshold a min阈 The value of a certain percentage P is transmitted to the NB-IoT wireless communication module to be uploaded to the cloud, and the cloud sends a reminder to the monitoring personnel whether to use the latest maximum threshold a max阈 and the minimum threshold a min阈 Update the original threshold.
[0016] Furthermore, the power management system controls the signal conditioning conversion element, the threshold monitoring element and the real-time clock element to be in a real-time working state, and controls the Bluetooth element to be in a dormant state when it is not awakened by a short-range device and the microcontroller is not triggered to collect acceleration data a.
[0017] The present invention provides a rope force monitoring system, which includes a rope force monitoring device group composed of multiple rope force monitoring devices, a short-range device end, a cloud and a remote device end; each rope force monitoring device has the above-mentioned characteristics; each rope force monitoring device is installed on a cable of a rope force to be measured through a clamp, and the short-range device end is connected to each rope force monitoring device through Bluetooth to set the initial state of each rope force monitoring device, and each rope force monitoring device uploads the monitored rope force value to the cloud, and the rope force value uploaded to the cloud can be read through the remote device end.
[0018] The present invention provides a cable force monitoring method of a cable force monitoring system, which is implemented in sequence according to the following steps:
[0019] 1). Install multiple cable force monitoring devices on each cable whose cable force is to be measured;
[0020] 2) Use the short-range device to wake up each cable force monitoring device through the Bluetooth component. The battery of each cable force monitoring device powers on the MEMS acceleration sensor, signal conditioning conversion component, threshold monitoring component, Bluetooth component, real-time clock component, microcontroller and NB-IoT wireless communication module through the power management system, and each cable force monitoring device enters the configuration waiting state;
[0021] 3). Use the short-range device to set the normal time interval for the real-time clock component to trigger the microcontroller and the encrypted time interval for the threshold monitoring component to trigger the microcontroller through the Bluetooth component;
[0022] 4). Each cable force monitoring device enters the initial data acquisition: the MEMS acceleration sensor collects the acceleration signal in real time and transmits it to the signal conditioning conversion element, which amplifies, filters and converts the acceleration signal into acceleration data a. The real-time clock element triggers the microcontroller at a normal time interval to collect the acceleration data a of the signal conditioning conversion element at a certain frequency F, and obtains K acceleration data a in total. The microcontroller selects the maximum acceleration data a among the K acceleration data a. max And the minimum value of acceleration data a min , after N normal time intervals, N maximum acceleration data a are screened out max And the minimum value a of N acceleration data min , and calculate the maximum value a of the N acceleration data max The average value and the minimum value a of N acceleration data min The average value of a max平 and a min平 , and with a max平 M1 times as the maximum threshold a of acceleration data max阈 and a min平 M2 times as the minimum threshold a of acceleration data min阈 Transmitted to a threshold monitoring element;
[0023] 5) Each cable force monitoring device enters a low-power working state: the power management system controls the Bluetooth component and the microcontroller to enter a dormant state, the MEMS acceleration sensor collects the acceleration signal in real time and transmits it to the signal conditioning conversion element, the signal conditioning conversion element amplifies, filters and converts the acceleration signal into an analog-to-digital acceleration data a, and transmits it to the threshold monitoring element, the threshold monitoring element monitors whether the acquired acceleration data a exceeds the maximum threshold value a of the acceleration data max阈 Or is it below the minimum threshold a of the acceleration data? min阈 ;
[0024] 6) Each cable force monitoring device enters the normal real-time monitoring state: when the normal time interval arrives, the real-time clock element triggers the microcontroller to collect the acceleration data a of the signal conditioning conversion element, and the microcontroller converts the acceleration data a into cable force data through the built-in algorithm program and transmits the cable force data to the NB-IoT wireless communication module, and the NB-IoT wireless communication module uploads the acquired cable force data to the cloud;
[0025] At the same time, the microcontroller removes the maximum value a of the first collected acceleration data. max And the minimum value of acceleration data a min , add the latest maximum value a of the acceleration data collected max And the minimum value of acceleration data a min , and the maximum value a of these N acceleration datamax And the minimum value of acceleration data a min Calculate the average value to get a max平 and a min平 , and with a max平 M1 times as the maximum threshold a of acceleration data max阈 and a min平 M2 times as the minimum threshold a of acceleration data min阈 , the microcontroller calculates the maximum threshold a currently max阈 and the minimum threshold a min阈 The maximum threshold a calculated when exceeding or falling below the initial state max阈 and the minimum threshold a min阈 The value of a certain percentage P is transmitted to the NB-IoT wireless communication module to be uploaded to the cloud, and the cloud sends a reminder to the monitoring personnel whether to use the latest maximum threshold a max阈 and the minimum threshold a min阈 Update the original threshold;
[0026] 7). Each cable force monitoring device repeats the working status of step 5) and step 6) in sequence;
[0027] 8). When the acceleration data a input by the signal conditioning conversion element monitored by the threshold monitoring element of a certain cable force monitoring device exceeds the maximum acceleration data threshold a during the process of repeating the working state of step 5). max阈 Or below the minimum acceleration data threshold a min阈 When the threshold monitoring element triggers the microcontroller at an encrypted time interval to collect the acceleration data a of the signal conditioning conversion element at an encrypted time interval, the microcontroller converts the acceleration data a into cable force data through a built-in algorithm program and transmits the cable force data to the NB-IoT wireless communication module, and the NB-IoT wireless communication module uploads the acquired cable force data to the cloud;
[0028] 9). The monitoring personnel check the cable force data uploaded by each cable force monitoring device in the cloud through the remote device to determine whether each cable is in a normal working environment.
[0029] Further, in step 3), the normal time interval for collecting battery power data of the power management system is set by using the short-range device end through the Bluetooth component, so that it collects the battery power at the normal time interval, and in step 6), the power management system collects the battery power data at the normal time interval and transmits it to the microcontroller, and the microcontroller transmits the battery power data to the NB-IoT wireless communication module for uploading to the cloud;
[0030] The values of K, N, M1, M2, F in step 4) and P in step 6) are simultaneously set in the microcontroller via the Bluetooth component in step 3).
[0031] Furthermore, in step 8), after the tension data is uploaded to the cloud, the cloud sends a text message or email to the remote device to alarm; step 9) includes a maintenance step 10), in which the values of the normal time intervals, encryption time intervals, K, N, M1, M2, F and P are maintained and modified by the remote device.
[0032] The present invention has the following beneficial effects: 1) A Bluetooth component is provided on the acquisition circuit board of the cable force monitoring device of the present application. After the cable force monitoring device is installed in place, the parameters of the cable force monitoring device are set after the short-range device end is connected to the Bluetooth component on-site. The short-range device end can be a portable smart phone, tablet computer or smart bracelet;
[0033] 2) The acquisition circuit board of the cable force monitoring device of the present application is provided with a power management system, which controls each component on the acquisition circuit board through the power management system, and can control the Bluetooth component to be in a dormant state when the short-range device end is not awakened and the microcontroller is not triggered to collect acceleration data a, so as to save power and extend the battery life;
[0034] 3) The power management system of the present application can upload battery power information at normal time intervals for monitoring personnel to view;
[0035] 4) A threshold monitoring element is provided on the acquisition circuit board of the cable force monitoring device of the present application. When the cable force monitoring device is in a low-power working state, the threshold monitoring element still monitors the acceleration data a in real time. When the acceleration data a is significantly different from the acceleration threshold, the microcontroller can be awakened and the microcontroller can upload the cable force data at an encrypted time interval, so that the monitoring personnel can monitor the cable force of the cable in real time and promptly remind the monitoring personnel to conduct safety inspections on the cable;
[0036] 5) When the threshold monitoring element is in working state, normal acceleration data a will not be uploaded, which reduces the excessive loading of cloud data and alleviates the screening of data by monitoring personnel. The rope force data uploaded by waking up the microcontroller after comparison by the threshold monitoring element can directly serve as a warning to the monitoring personnel. BRIEF DESCRIPTION OF THE DRAWINGS
[0037] Figure 1 It is a structural schematic diagram of the cable force monitoring device of the present invention;
[0038] Figure 2 It is a structural schematic diagram of the cable force monitoring device of the present invention;
[0039] Figure 3 is a schematic diagram of a cable force monitoring system of the present invention;
[0040] Figure 4It is a broken line diagram of K acceleration data a obtained by the cable force monitoring device of the present invention at a certain frequency F each time.
[0041] In the figure: 1. Cable tension monitoring device; 2. Clamp. DETAILED DESCRIPTION
[0042] The following combination Figures 1 to 4 , the present invention is further illustrated by specific implementation methods.
[0043] Please refer to Figure 2 As shown, the present application provides a cable tension monitoring device for monitoring the cable tension data of bridge cables, and uploading the cable tension data to the cloud for monitoring personnel to view through a remote device. When the cable tension data is in an over-threshold state, the cloud can send an alarm to the remote device.
[0044] The cable force monitoring device includes: MEMS acceleration sensor, acquisition circuit board, battery and NB-IoT wireless communication module.
[0045] The MEMS acceleration sensor is connected to the acquisition circuit board, the acquisition circuit board is connected to the NB-IoT wireless communication module, and the battery is connected to the acquisition circuit board and supplies power to the MEMS acceleration sensor, the acquisition circuit board and the NB-IoT wireless communication module.
[0046] The MEMS acceleration sensor is used to collect the acceleration signal on the cable.
[0047] The acquisition circuit board includes a power management system, a signal conditioning conversion element, a threshold monitoring element, a Bluetooth element, a real-time clock element and a microcontroller. The power management system is connected to the signal conditioning conversion element, the threshold monitoring element, the Bluetooth element, the real-time clock element and the microcontroller. The signal conditioning conversion element is connected to the threshold monitoring element. The signal conditioning conversion element, the threshold monitoring element, the Bluetooth element and the real-time clock element are respectively connected to the microcontroller.
[0048] The power management system is used to control the switching of the power-on state and the sleep state of the signal conditioning conversion element, the threshold monitoring element, the Bluetooth element, the real-time clock element and the microcontroller to ensure the low power operation of the cable force monitoring device. The power management system is also used to collect battery power data at regular time intervals and transmit the battery power data to the microcontroller.
[0049] The signal conditioning conversion element is used to amplify, filter and convert the acceleration signal collected by the MEMS acceleration sensor into acceleration data a, and can transmit the acceleration data a to the threshold monitoring element and the microcontroller.
[0050] The threshold monitoring element is used to monitor whether the acquired acceleration data a exceeds the maximum acceleration data threshold amax阈 Or is it below the minimum threshold a of the acceleration data? min阈 , when the monitored acceleration data a exceeds the maximum acceleration data threshold a max阈 Or below the minimum acceleration data threshold a min阈 When the threshold monitoring element is set, the microcontroller can be triggered to switch from the sleep state to the working state at encrypted time intervals.
[0051] The real-time clock component is used to trigger the microcontroller to switch from sleep mode to active mode at regular intervals.
[0052] The Bluetooth component is used to establish an on-site Bluetooth connection with a short-range device, and to set relevant configuration parameters of a power management system, a threshold monitoring component, a real-time clock component and a microcontroller through the short-range device.
[0053] The microcontroller is used to convert the acquired acceleration data a into cable force data through a built-in algorithm program in the working state and transmit the cable force data to the NB-IoT wireless communication module and transmit the battery power data input by the power management system to the NB-IoT wireless communication module.
[0054] The NB-IoT wireless communication module is used to upload the acquired cable force data and battery power data to the cloud.
[0055] In the initial state of the cable force monitoring device:
[0056] 1) The Bluetooth component is connected to a short-range device end by Bluetooth to set the normal time interval of the real-time clock component and the encryption time interval of the threshold monitoring component through the short-range device end; the short-range device end sets the normal time interval for the power management system to collect battery power information through the Bluetooth component;
[0057] 2) Please refer to Figure 4 As shown, the real-time clock element triggers the microcontroller at a normal time interval to collect the acceleration data a of the signal conditioning conversion element at a certain frequency F, and a total of K acceleration data a are obtained. The microcontroller selects the maximum acceleration data a among the K acceleration data a. max And the minimum value of acceleration data a min , after N normal time intervals, N maximum acceleration data a are screened out max And the minimum value a of N acceleration data min , and calculate the maximum value a of the N acceleration data max The average value and the minimum value a of N acceleration data min The average value of a max平 and a min平 , and with a max平 M1 times as the maximum threshold a of acceleration data max阈and a min平 M2 times as the minimum threshold a of acceleration data min阈 The specific values of K, N, M1, M2 and F are transmitted to the threshold monitoring component, and the specific values of K, N, M1, M2 and F can be set to the microcontroller through a short-range device end connected to the Bluetooth component. The values of M1 and M2 in this application may be equal or unequal.
[0058] The working mode of the cable force monitoring device from the initial state to the normal real-time monitoring state is as follows: the MEMS acceleration sensor collects the acceleration signal in real time and transmits it to the signal conditioning conversion element, the signal conditioning conversion element amplifies, filters and converts the acceleration signal into acceleration data a, the real-time clock element triggers the microcontroller at a normal time interval to collect the acceleration data a of the signal conditioning conversion element at a normal time interval, the microcontroller converts the acceleration data a into cable force data through the built-in algorithm program and transmits the cable force data to the NB-IoT wireless communication module, and the NB-IoT wireless communication module uploads the acquired cable force data to the cloud;
[0059] The signal conditioning conversion element also transmits the acceleration data a to the threshold monitoring element in real time, and the threshold monitoring element monitors whether the acquired acceleration data a exceeds the maximum acceleration data threshold a max阈 Or is it below the minimum threshold a of the acceleration data? min阈 , when the monitored acceleration data a exceeds the maximum acceleration data threshold a max阈 Or below the minimum acceleration data threshold a min阈 When the threshold monitoring element triggers the microcontroller at an encrypted time interval to collect the acceleration data a of the signal conditioning conversion element at an encrypted time interval, the microcontroller converts the acceleration data a into cable force data through a built-in algorithm program and transmits the cable force data to the NB-IoT wireless communication module, the NB-IoT wireless communication module uploads the acquired cable force data to the cloud, and the cloud sends a text message or email to the remote device to issue an alarm;
[0060] The power management system controls the signal conditioning conversion element, the threshold monitoring element and the real-time clock element to be in a real-time working state, and controls the Bluetooth element to be in a dormant state when it is not awakened by a short-range device and the microcontroller is not triggered to collect acceleration data a.
[0061] After the cable force monitoring device in the present application enters the normal real-time monitoring state, the microcontroller obtains the latest maximum value a of the acceleration data at a normal time interval. max And the minimum value of acceleration data a min , the maximum value a of the first collected acceleration data will be eliminated max And the minimum value of acceleration data a min , keep the maximum value a of N acceleration data in real time maxAnd the minimum value of acceleration data a min Calculate the average value to get a max平 and a min平 , and with a max平 M1 times as the maximum threshold a of acceleration data max阈 and a min平 M2 times as the minimum threshold a of acceleration data min阈 , the microcontroller calculates the maximum threshold a currently max阈 and the minimum threshold a min阈 The maximum threshold a calculated when exceeding or falling below the initial state max阈 and the minimum threshold a min阈 The value of a certain percentage P is transmitted to the NB-IoT wireless communication module to be uploaded to the cloud, and the cloud sends a reminder to the monitoring personnel whether to use the latest maximum threshold a max阈 and the minimum threshold a min阈 The original threshold is updated, and the specific value of P can be set to the microcontroller through a short-range device end connected to the Bluetooth component.
[0062] In later maintenance: the values of normal time intervals, encryption time intervals, K, N, M1, M2, F and P can be maintained and modified according to actual conditions through the remote device.
[0063] Please refer to Figure 1 and Figure 3 As shown, the present application also provides a cable force monitoring system, including a cable force monitoring device group, a short-range device end, a cloud end and a remote device end.
[0064] The cable force monitoring device group includes a plurality of cable force monitoring devices.
[0065] Each cable tension monitoring device 1 is installed on the cable whose tension is to be measured through a clamp 2. The short-range device connects to each cable tension monitoring device via Bluetooth to set the initial state of each cable tension monitoring device. Each cable tension monitoring device uploads the monitored cable tension value to the cloud, and the cable tension value uploaded to the cloud can be read by the remote device.
[0066] The short-range device is a smartphone, tablet computer or smart bracelet with Bluetooth connection function; the long-range device is a smartphone, tablet computer, smart bracelet or computer.
[0067] Please refer to Figures 1 to 4 As shown, the present application also provides a cable force monitoring method using a cable force monitoring system, which is implemented in sequence according to the following steps:
[0068] 1). Install multiple cable force monitoring devices on each cable whose cable force is to be measured;
[0069] 2) Use the short-range device to wake up each cable force monitoring device through the Bluetooth component. The battery of each cable force monitoring device powers on the MEMS acceleration sensor, signal conditioning conversion component, threshold monitoring component, Bluetooth component, real-time clock component, microcontroller and NB-IoT wireless communication module through the power management system, and each cable force monitoring device enters the waiting configuration state;
[0070] 3). Use the short-range device to set the normal time interval for the real-time clock component to trigger the microcontroller and the encryption time interval for the threshold monitoring component to trigger the microcontroller through the Bluetooth component. Generally, the normal time interval is set to once an hour and the encryption time interval is set to once a minute;
[0071] Use the short-range device to set the normal time interval for the power management system to collect battery power data through the Bluetooth component, so that it collects battery power at normal time intervals. Generally, the normal time interval can be set to once an hour;
[0072] 4). Each cable force monitoring device enters the initial data acquisition: the MEMS acceleration sensor collects the acceleration signal in real time and transmits it to the signal conditioning conversion element, which amplifies, filters and converts the acceleration signal into acceleration data a. The real-time clock element triggers the microcontroller at a normal time interval to collect the acceleration data a of the signal conditioning conversion element at a certain frequency F, and obtains K acceleration data a in total. The microcontroller selects the maximum acceleration data a among the K acceleration data a. max And the minimum value of acceleration data a min , after N normal time intervals, N maximum acceleration data a are screened out max And the minimum value a of N acceleration data min , and calculate the maximum value a of the N acceleration data max The average value and the minimum value a of N acceleration data min The average value of a max平 and a min平 , and with a max平 M1 times as the maximum threshold a of acceleration data max阈 and a min平 M2 times as the minimum threshold a of acceleration data min阈 The values of K, N, M1, M2 and F are transmitted to the threshold monitoring component and simultaneously set to the microcontroller via the Bluetooth component in step 3);
[0073] 5) Each cable force monitoring device enters a low-power working state: the power management system controls the Bluetooth component and the microcontroller to enter a dormant state, the MEMS acceleration sensor collects the acceleration signal in real time and transmits it to the signal conditioning conversion element, the signal conditioning conversion element amplifies, filters and converts the acceleration signal into an analog-to-digital acceleration data a, and transmits it to the threshold monitoring element, the threshold monitoring element monitors whether the acquired acceleration data a exceeds the maximum threshold value a of the acceleration data max阈 Or is it below the minimum threshold a of the acceleration data? min阈 ;
[0074] 6) Each cable force monitoring device enters the normal real-time monitoring state: when the normal time interval arrives, the real-time clock element triggers the microcontroller to collect the acceleration data a of the signal conditioning conversion element, and the microcontroller converts the acceleration data a into cable force data through the built-in algorithm program and transmits the cable force data to the NB-IoT wireless communication module, and the NB-IoT wireless communication module uploads the acquired cable force data to the cloud;
[0075] The power management system collects battery power data at regular time intervals and transmits it to the microcontroller, which transmits the battery power data to the NB-IoT wireless communication module for uploading to the cloud;
[0076] At the same time, the microcontroller removes the maximum value a of the first collected acceleration data. max And the minimum value of acceleration data a min , add the latest maximum value a of the acceleration data collected max And the minimum value of acceleration data a min , and the maximum value a of these N acceleration data max And the minimum value of acceleration data a min Calculate the average value to get a max平 and a min平 , and with a max平 M1 times as the maximum threshold a of acceleration data max阈 and a min平 M2 times as the minimum threshold a of acceleration data min阈 , the microcontroller calculates the maximum threshold a currently max阈 and the minimum threshold a min阈 The maximum threshold a calculated when exceeding or falling below the initial state max阈 and the minimum threshold a min阈 The value of a certain percentage P is transmitted to the NB-IoT wireless communication module to be uploaded to the cloud, and the cloud sends a reminder to the monitoring personnel whether to use the latest maximum threshold a max阈 and the minimum threshold a min阈 The original threshold is updated, and the value of P is set to the microcontroller through the Bluetooth component in step 3);
[0077] 7). Each cable force monitoring device repeats the working status of step 5) and step 6) in sequence;
[0078] 8). When the acceleration data a input by the signal conditioning conversion element monitored by the threshold monitoring element of a certain cable force monitoring device exceeds the maximum acceleration data threshold a during the process of repeating the working state of step 5). max阈 Or below the minimum acceleration data threshold a min阈 When the threshold monitoring element triggers the microcontroller at an encrypted time interval to collect the acceleration data a of the signal conditioning conversion element at an encrypted time interval, the microcontroller converts the acceleration data a into cable force data through a built-in algorithm program and transmits the cable force data to the NB-IoT wireless communication module, the NB-IoT wireless communication module uploads the acquired cable force data to the cloud, and the cloud sends a text message or email to the remote device to issue an alarm;
[0079] 9). The monitoring personnel check the cable force data uploaded by each cable force monitoring device in the cloud through the remote device to determine whether each cable is in a normal working environment;
[0080] 10). Post-maintenance: Maintain and modify the values of normal time intervals, encryption time intervals, K, N, M1, M2, F and P according to actual conditions through the remote device.
[0081] The present invention has the following beneficial effects: 1) A Bluetooth component is provided on the acquisition circuit board of the cable force monitoring device of the present application. After the cable force monitoring device is installed in place, the parameters of the cable force monitoring device are set after the short-range device end is connected to the Bluetooth component on-site. The short-range device end can be a portable smart phone, tablet computer or smart bracelet;
[0082] 2) The acquisition circuit board of the cable force monitoring device of the present application is provided with a power management system, which controls each component on the acquisition circuit board through the power management system, and can control the Bluetooth component to be in a dormant state when the short-range device end is not awakened and the microcontroller is not triggered to collect acceleration data a, so as to save power and extend the battery life;
[0083] 3) The power management system of the present application can upload battery power information at normal time intervals for monitoring personnel to view;
[0084] 4) A threshold monitoring element is provided on the acquisition circuit board of the cable force monitoring device of the present application. When the cable force monitoring device is in a low-power working state, the threshold monitoring element still monitors the acceleration data a in real time. When the acceleration data a is significantly different from the acceleration threshold, the microcontroller can be awakened and the microcontroller can upload the cable force data at an encrypted time interval, so that the monitoring personnel can monitor the cable force of the cable in real time and promptly remind the monitoring personnel to conduct safety inspections on the cable;
[0085] 5) When the threshold monitoring element is in working state, normal acceleration data a will not be uploaded, which reduces the excessive loading of cloud data and alleviates the screening of data by monitoring personnel. The rope force data uploaded by waking up the microcontroller after comparison by the threshold monitoring element can directly serve as a warning to the monitoring personnel.
[0086] Although the content of the present invention has been described in detail through the above preferred embodiments, it should be appreciated that the above description should not be considered as a limitation of the present invention. After reading the above content, it will be apparent to those skilled in the art that various modifications and substitutions of the present invention will occur. Therefore, the protection scope of the present invention should be limited by the appended claims.
Claims
1. A cable force monitoring device, comprising: MEMS acceleration sensor, acquisition circuit board, battery and NB-IoT wireless communication module, characterized by: The acquisition circuit board includes a power management system, a signal conditioning conversion element, a threshold monitoring element, a Bluetooth element, a real-time clock element and a microcontroller. The power management system is connected to the signal conditioning conversion element, the threshold monitoring element, the Bluetooth element, the real-time clock element and the microcontroller. The signal conditioning conversion element is connected to the threshold monitoring element. The signal conditioning conversion element, the threshold monitoring element, the Bluetooth element and the real-time clock element are respectively connected to the microcontroller. The MEMS acceleration sensor is connected to the acquisition circuit board, the acquisition circuit board is connected to the NB-IoT wireless communication module, and the battery is connected to the acquisition circuit board and supplies power to the MEMS acceleration sensor, the acquisition circuit board and the NB-IoT wireless communication module; The MEMS acceleration sensor collects acceleration signals in real time and transmits them to the signal conditioning conversion element. The signal conditioning conversion element amplifies, filters and converts the acceleration signals into acceleration data a. The real-time clock element triggers the microcontroller at normal time intervals to collect acceleration data a of the signal conditioning conversion element at normal time intervals. The microcontroller converts the acceleration data a into cable force data through a built-in algorithm program and transmits the cable force data to the NB-IoT wireless communication module. The NB-IoT wireless communication module uploads the acquired cable force data to the cloud. The signal conditioning conversion element transmits the acceleration data a to the threshold monitoring element in real time, and the threshold monitoring element monitors whether the acquired acceleration data a exceeds the maximum acceleration data threshold a max阈 Or is it below the minimum threshold a of the acceleration data? min阈 , when the monitored acceleration data a exceeds the maximum acceleration data threshold a max阈 Or below the minimum acceleration data threshold a min阈 When the threshold monitoring element triggers the microcontroller at an encrypted time interval to collect the acceleration data a of the signal conditioning conversion element at an encrypted time interval, the microcontroller converts the acceleration data a into rope force data through a built-in algorithm program and transmits the rope force data to the NB-IoT wireless communication module, and the NB-IoT wireless communication module uploads the acquired rope force data to the cloud.
2. The cable force monitoring device according to claim 1, characterized in that: The Bluetooth component is used to connect to a short-range device end, and the short-range device end sets the normal time interval of the real-time clock component and the encrypted time interval of the threshold monitoring component.
3. The cable force monitoring device according to claim 2, characterized in that: The power management system is used to monitor the battery power. The short-range device sets the normal time interval for the power management system to collect battery power information through the Bluetooth component. The power management system collects battery power data at normal time intervals and transmits the battery power data to the microcontroller to be uploaded to the cloud through the NB-IoT wireless communication module.
4. The cable force monitoring device according to claim 1, characterized in that: In the initial state, the real-time clock element triggers the microcontroller at a normal time interval to collect the acceleration data a of the signal conditioning conversion element at a frequency F, and obtains a total of K acceleration data a. The microcontroller selects the maximum acceleration data a among the K acceleration data a. max And the minimum value of acceleration data a min , after N normal time intervals, N maximum acceleration data a are screened out max And the minimum value a of N acceleration data min , and calculate the maximum value a of the N acceleration data max The average value and the minimum value a of N acceleration data min The average value of a max平 and a min平 , and with a max平 M1 times as the maximum threshold a of acceleration data max阈 and a min平 M2 times as the minimum threshold a of acceleration data min阈 Transmitted to the threshold monitoring element.
5. The cable force monitoring device according to claim 4, characterized in that: When the cable force monitoring device enters the normal real-time monitoring state, the microcontroller obtains the latest maximum value a of acceleration data at normal time intervals. max And the minimum value of acceleration data a min , the maximum value a of the first collected acceleration data will be eliminated max And the minimum value of acceleration data a min , keep the maximum value a of N acceleration data in real time max And the minimum value of acceleration data a min Calculate the average value to get a max平 and a min平 , and with a max平 M1 times as the maximum threshold a of acceleration data max阈 and a min平 M2 times as the minimum threshold a of acceleration data min阈 , the microcontroller calculates the maximum threshold a currently max阈 and the minimum threshold a min阈 The maximum threshold a calculated when exceeding or falling below the initial state max阈 and the minimum threshold a min阈 The value of a certain percentage P is transmitted to the NB-IoT wireless communication module to be uploaded to the cloud, and the cloud sends a reminder to the monitoring personnel whether to use the latest maximum threshold a max阈 and the minimum threshold a min阈 Update the original threshold.
6. The cable force monitoring device according to claim 1, characterized in that: The power management system controls the signal conditioning conversion element, the threshold monitoring element and the real-time clock element to be in a real-time working state, and controls the Bluetooth element to be in a dormant state when it is not awakened by a short-range device and the microcontroller is not triggered to collect acceleration data a.
7. A cable force monitoring system, characterized in that: The cable force monitoring system includes a cable force monitoring device group consisting of a plurality of cable force monitoring devices, a short-range device end, a cloud end, and a long-range device end; Each cable force monitoring device is a device as described in any one of claims 1 to 6; Each cable tension monitoring device is installed on the cable whose tension is to be measured through a clamp. The short-range device connects to each cable tension monitoring device via Bluetooth to set the initial state of each cable tension monitoring device. Each cable tension monitoring device uploads the monitored cable tension value to the cloud, and the cable tension value uploaded to the cloud can be read by the remote device.
8. A method for monitoring cable force using the cable force monitoring system according to claim 7, characterized in that: Follow the steps below to implement: 1). Install multiple cable force monitoring devices on each cable whose cable force is to be measured; 2) Use the short-range device to wake up each cable force monitoring device through the Bluetooth component. The battery of each cable force monitoring device powers on the MEMS acceleration sensor, signal conditioning conversion component, threshold monitoring component, Bluetooth component, real-time clock component, microcontroller and NB-IoT wireless communication module through the power management system, and each cable force monitoring device enters the waiting configuration state; 3). Use the short-range device to set the normal time interval for the real-time clock component to trigger the microcontroller and the encrypted time interval for the threshold monitoring component to trigger the microcontroller through the Bluetooth component; 4). Each cable force monitoring device enters the initial data acquisition: the MEMS acceleration sensor collects the acceleration signal in real time and transmits it to the signal conditioning conversion element, which amplifies, filters and converts the acceleration signal into acceleration data a. The real-time clock element triggers the microcontroller at a normal time interval to collect the acceleration data a of the signal conditioning conversion element at a certain frequency F, and obtains K acceleration data a in total. The microcontroller selects the maximum acceleration data a among the K acceleration data a. max And the minimum value of acceleration data a min , after N normal time intervals, N maximum acceleration data a are screened out max And the minimum value a of N acceleration data min , and calculate the maximum value a of the N acceleration data max The average value and the minimum value a of N acceleration data min The average value of a max平 and a min平 , and with a max平 M1 times as the maximum threshold a of acceleration data max阈 and a min平 M2 times as the minimum threshold a of acceleration data min阈 Transmitted to a threshold monitoring element; 5) Each cable force monitoring device enters a low-power working state: the power management system controls the Bluetooth component and the microcontroller to enter a dormant state, the MEMS acceleration sensor collects the acceleration signal in real time and transmits it to the signal conditioning conversion element, the signal conditioning conversion element amplifies, filters and converts the acceleration signal into an analog-to-digital acceleration data a, and transmits it to the threshold monitoring element, the threshold monitoring element monitors whether the acquired acceleration data a exceeds the maximum threshold value a of the acceleration data max阈 Or is it below the minimum threshold a of the acceleration data? min阈 ; 6) Each cable force monitoring device enters the normal real-time monitoring state: when the normal time interval arrives, the real-time clock element triggers the microcontroller to collect the acceleration data a of the signal conditioning conversion element, and the microcontroller converts the acceleration data a into cable force data through the built-in algorithm program and transmits the cable force data to the NB-IoT wireless communication module, and the NB-IoT wireless communication module uploads the acquired cable force data to the cloud; At the same time, the microcontroller removes the maximum value a of the first collected acceleration data. max And the minimum value of acceleration data a min , add the latest maximum value a of the acceleration data collected max And the minimum value of acceleration data a min , and the maximum value a of these N acceleration data max And the minimum value of acceleration data a min Calculate the average value to get a max平 and a min平 , and with a max平 M1 times as the maximum threshold a of acceleration data max阈 and a min平 M2 times as the minimum threshold a of acceleration data min阈 , the microcontroller calculates the maximum threshold a currently max阈 and the minimum threshold a min阈 The maximum threshold a calculated when exceeding or falling below the initial state max阈 and the minimum threshold a min阈 The value of a certain percentage P is transmitted to the NB-IoT wireless communication module to be uploaded to the cloud, and the cloud sends a reminder to the monitoring personnel whether to use the latest maximum threshold a max阈 and the minimum threshold a min阈 Update the original threshold; 7). Each cable force monitoring device repeats the working status of step 5) and step 6) in sequence; 8). When the acceleration data a input by the signal conditioning conversion element monitored by the threshold monitoring element of a certain cable force monitoring device exceeds the maximum acceleration data threshold a during the process of repeating the working state of step 5). max阈 Or below the minimum acceleration data threshold a min阈 When the threshold monitoring element triggers the microcontroller at an encrypted time interval to collect the acceleration data a of the signal conditioning conversion element at an encrypted time interval, the microcontroller converts the acceleration data a into cable force data through a built-in algorithm program and transmits the cable force data to the NB-IoT wireless communication module, and the NB-IoT wireless communication module uploads the acquired cable force data to the cloud; 9). The monitoring personnel check the cable force data uploaded by each cable force monitoring device in the cloud through the remote device to determine whether each cable is in a normal working environment.
9. The cable force monitoring method of the cable force monitoring system according to claim 8, characterized in that: In step 3), the normal time interval for the power management system to collect battery power data is set by using the short-range device end through the Bluetooth component, so that it collects battery power at normal time intervals. In step 6), the power management system collects battery power data at normal time intervals and transmits it to the microcontroller, and the microcontroller transmits the battery power data to the NB-IoT wireless communication module for uploading to the cloud; The values of K, N, M1, M2, F in step 4) and P in step 6) are simultaneously set in the microcontroller via the Bluetooth component in step 3).
10. The cable force monitoring method of the cable force monitoring system according to claim 9, characterized in that: In step 8), after the cable force data is uploaded to the cloud, the cloud sends a text message or email to the remote device to alarm; step 9) includes a maintenance step 10), in which the values of the normal time intervals, encryption time intervals, K, N, M1, M2, F and P are maintained and modified by the remote device.
