WO2018227696A1 - Sensor-based road bridge status monitoring method and system - Google Patents

Sensor-based road bridge status monitoring method and system Download PDF

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Publication number
WO2018227696A1
WO2018227696A1 PCT/CN2017/093374 CN2017093374W WO2018227696A1 WO 2018227696 A1 WO2018227696 A1 WO 2018227696A1 CN 2017093374 W CN2017093374 W CN 2017093374W WO 2018227696 A1 WO2018227696 A1 WO 2018227696A1
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Prior art keywords
monitoring
sensor
data
trend
road
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PCT/CN2017/093374
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French (fr)
Chinese (zh)
Inventor
杜光东
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深圳市盛路物联通讯技术有限公司
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Publication of WO2018227696A1 publication Critical patent/WO2018227696A1/en

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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01DMEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
    • G01D21/00Measuring or testing not otherwise provided for
    • G01D21/02Measuring two or more variables by means not covered by a single other subclass

Definitions

  • the present invention belongs to the field of data monitoring technologies, and in particular, to a sensor-based road bridge state monitoring method and system.
  • the second is: the sensors are automatically collected in various areas of the road bridge and transmitted to the server, and then the data in the server is retrieved for analysis.
  • the realization of the technical solution requires that the installed sensors should be in a normal working state, and the performance of the sensor is very high, for example, a complex sensor with high stability, and the sensor needs to be replaced regularly, so the initial cost High, late maintenance is difficult.
  • the embodiments of the present invention provide a sensor-based road bridge state monitoring method and system, which solves the problems of high monitoring cost and low monitoring efficiency existing in the existing road and bridge state monitoring technology.
  • a first aspect of the embodiments of the present invention provides a sensor-based road bridge state monitoring method, including [0008] acquiring first data collected by a sensor, where the sensor is located at a preset position of a road bridge, and the sensor is The number is greater than the minimum number of sensors required to monitor the state of the bridge;
  • a sensor-based road and bridge condition monitoring system including: a sensor, an acquiring unit, a processing transmitting unit, and a server;
  • the acquiring unit is configured to acquire first data collected by the sensor, where the sensor is located at a preset position of the road bridge, and the number of the sensors is greater than a minimum number of sensors required to monitor the state of the road bridge;
  • the processing sending unit is configured to send, to the server, the second data that meets the preset condition in the first data, where the preset condition is that the collection time is in a preset time range or the data value exceeds the pre- Scope
  • the server is configured to determine a trend of the monitoring indicator of the road bridge state according to the second data, and match the trend of the monitoring indicator with a preset standard model, and if the matching fails, the warning notification is performed.
  • the technical solution provided by the embodiment of the present invention has the following beneficial effects: sending the second data that meets the preset condition in the first data to the server by acquiring the first data collected by the sensor located at the preset position of the road bridge; According to the second data, the trend of the monitoring indicators of the road and bridge state is analyzed, and the existing monitoring problem of the road and bridge state monitoring technology is high, and the monitoring efficiency is low; the sensor at the preset position of the road bridge ensures the comprehensiveness of the monitoring result, And the number of sensors is greater than the minimum number of sensors required to monitor the state of the bridge and bridge so that the monitoring of the state of the road and bridge is not affected by the working state of some sensors, avoiding the secondary construction and the monitoring cost and low efficiency caused by the secondary construction, monitoring Low cost and high monitoring efficiency.
  • FIG. 2 is a schematic diagram of engraving of sensor acquisition and transmission data according to an embodiment of the present invention
  • FIG. 3 is a flowchart of a sensor-based road bridge state monitoring method according to Embodiment 3 of the present invention.
  • FIG. 4 is a schematic diagram showing a comparison of a curve corresponding to a trend of a monitoring index and a curve corresponding to a preset standard model according to an embodiment of the present invention
  • FIG. 5 is a flowchart of a specific implementation of the sensor-based road bridge state monitoring method step S103 according to the first embodiment of the present invention
  • FIG. 6 is a structural block diagram of a sensor-based road bridge state monitoring system according to Embodiment 6 of the present invention
  • FIG. 7 is a structural block diagram of a sensor-based road bridge state monitoring system according to Embodiment 8 of the present invention
  • FIG. 8 is a structural block diagram of a sensor-based road bridge state monitoring system according to Embodiment 10 of the present invention.
  • Embodiment 1 is a flowchart of a sensor-based road bridge state monitoring method according to Embodiment 1 of the present invention.
  • the sensor-based road bridge state monitoring method specifically includes the following steps S101 to S1 03.
  • Step S101 Acquire first data collected by the sensor, where the sensor is located at a preset position of the road bridge, and the number of the sensors is greater than a minimum number of sensors required to monitor the state of the road bridge.
  • the preset position is set according to the monitoring requirement, and the sensor in the preset position monitors each monitoring indicator of the road and bridge state, and collects the first data, and the first data includes the corresponding monitoring index.
  • Data such as pressure value, temperature and humidity value
  • type of sensor such as temperature and humidity value
  • position information of the sensor the position information may be in the form of a label, for example, A3 may be used to represent the third sub-area of the road bridge A area.
  • the sensor can be one type or multiple types.
  • the number of sensors (including the case of only one type of sensor) is greater than the minimum number of sensors required to monitor the state of the bridge.
  • the number of sensors can be much larger than the minimum number.
  • the minimum number is 1000, correspondingly, far more than 3,000.
  • the number of sensors (including the case of only one type of sensor) is greater than the minimum number of sensors required to monitor the state of the bridge, which makes the monitoring of the state of the bridge not subject to the operation of some sensors. The effect of the state, thus avoiding the secondary construction caused by the repair or replacement of the sensor in an abnormal working state.
  • Step S102 Send the second data that meets the preset condition in the first data to the server, where the preset condition is that the collection time is in a preset time range or the data value is out of a preset range.
  • the sensor may collect the first data periodically, and correspondingly, the sending of the data may also be implemented by means of periodic transmission.
  • the data acquisition interval is 1 second
  • the data transmission interval is 1 second.
  • the preset time can be the data transmission interval, and the second to third seconds are one of the preset time periods, during which data is collected and transmitted; the third to fourth seconds are not presets. Therefore, the data is not sent; the 5th to 6th seconds is one of the preset times, during which data is transmitted, but only the data sent is collected from the 5th to 6th seconds of the sensor. In order to avoid overlapping with the data transmitted from the second to third seconds described above, repeated transmission is caused.
  • the preset time can be from 2 seconds to 3 seconds and from 5 seconds to 6 seconds, and the preset conditions are not satisfied during the interval in which data is not required to be transmitted, such as 1st, 4th, and 7th.
  • the unit in Figure 2 is used for 1 second. It can be understood that the actual application can be adjusted according to the monitoring needs, for example, the unit is adjusted to 10 seconds or 1 minute.
  • the preset range may be different in different turns, such as pressure value, humidity value, temperature value, etc. Historical statistics are available. It can be understood that the second data in the first data that exceeds the preset range is sent only when the collected first data exceeds the preset range.
  • only transmitting the second data that meets the preset condition in the first data can greatly reduce the data that is not related to the monitoring of the road bridge state, and can improve the efficiency of data transmission.
  • Step S103 Determine a trend of the monitoring indicator of the road and bridge state according to the second data, and match the trend of the monitoring indicator with a preset standard model, and if the matching fails, the early warning notification.
  • the second data is valid data that can reflect the trend of the monitoring index of the road bridge state. Based on these valid second data, they are analyzed to obtain trends in monitoring indicators. It can be understood that the trend of monitoring indicators here may be an overall trend of road and bridge states formed by various monitoring indicators, or a trend of individual monitoring indicators. Correspondingly, the notification is made according to a preset standard model.
  • the trend of a single monitoring indicator matches the preset standard model
  • the warning notification is sent; or the overall trend of the road and bridge state is matched with the preset standard model, and if the matching fails, the warning notification is The trend of a single monitoring indicator does not need to match the preset standard model, nor is it a separate warning notification; it can also be that the trend of a single monitoring indicator matches the preset standard model. If the matching fails, the warning notification, the overall state of the road and bridge The trend matches the preset standard model, and if the match fails, the notification is also alerted.
  • the sensor-based road and bridge state monitoring method collects the first data by using a minimum number of sensors located at a preset position of the road bridge than the sensor required to monitor the state of the road bridge, and will be first.
  • the second data in the data that meets the preset condition is sent to the server; the trend of the monitoring indicator of the road and bridge state is analyzed according to the second data, and the trend of the monitoring indicator is abnormal, and the warning notice is used to solve the monitoring cost of the existing road and bridge state monitoring technology.
  • Sensors in the preset position of the road bridge ensure the comprehensiveness of the monitoring results, each type (including the case of only one type of sensor)
  • the number of sensors is greater than the minimum number of sensors required to monitor the state of the bridge, this
  • the monitoring of the state of the road and bridge is not affected by the working state of some sensors, avoiding the secondary construction and the monitoring cost and low efficiency caused by the secondary construction, the monitoring cost is low and the monitoring efficiency is high.
  • the sensor includes a plurality of types, each of the sensors corresponding to one of the monitoring indicators for monitoring the state of the road bridge; the number of the sensors is monitoring Place A multiple of the sum of the minimum number of sensors required for each monitoring indicator of the road and bridge state.
  • various sensors include: a temperature sensor, a humidity sensor, a slope sensor, a displacement sensor, a pressure sensor, and a crack sensor. These sensors monitor the temperature monitoring indicators, humidity monitoring indicators, slope monitoring indicators, displacement monitoring indicators, pressure monitoring indicators and crack monitoring indicators in the monitoring indicators, so that the monitoring of the road and bridge status is more comprehensive.
  • the one-to-one monitoring relationship of one of the monitoring indicators corresponding to the monitoring of the state of the road and bridge is convenient for collecting, classifying and processing the data, which is beneficial to the abnormality of the monitoring index. Accurately find the corresponding sensor, thus avoiding cumbersome troubleshooting.
  • the number of the sensors is a multiple of the sum of the minimum number of each sensor required to monitor the monitoring indicators of the road and bridge state. .
  • FIG. 3 is a flowchart showing a specific implementation of the sensor-based road bridge state monitoring method step S103 according to the first embodiment of the present invention.
  • Step S103 specifically includes the following steps S301, S302, and S303.
  • Step S301 Clustering data collected by the same sensor in the second data to obtain cluster data.
  • the first data includes data of a corresponding monitoring indicator (for example, a pressure value, a temperature and humidity value), a type of the sensor, and position information of the sensor.
  • the second data also includes data of the corresponding monitoring indicators (such as pressure value, temperature and humidity value), the type of sensor, and the position information of the sensor.
  • each of the sensors corresponds to one of the monitoring indicators for monitoring the state of the road and bridge, that is, there are several types of sensors corresponding to the road and bridge state monitoring indicators. Therefore, after performing trend analysis on various indicators of the road and bridge state, it is only necessary to cluster the second data of the specific type of sensors in the second data, and then perform trend analysis.
  • the second data of all kinds of sensors may be clustered separately, and then the trend indicators of the road and bridge are separately analyzed.
  • the method is applicable to trending all the monitoring indicators of the road and bridge state. Analyze to monitor the overall trend of the road and bridge state; it is also possible to first cluster and filter out the second data of one or a part of the sensors, and then analyze the trend of the road and bridge monitoring indicators separately, which is applicable to the road and bridge state monitoring indicators.
  • Targeted trend analysis of one or several monitoring indicators [0046]
  • Step S302 Perform clustering analysis on the clustering data to obtain trends of various monitoring indicators of the road and bridge state.
  • clustering data obtained by clustering based on data collected by the same sensor in step S301 for example, corresponding to five different kinds of sensors
  • the obtained cluster data is sequentially the first cluster data, the second cluster Class data, third cluster data, fourth cluster data, and fifth cluster data.
  • the above five cluster data may be selected to perform one or more combinations in any combination for aggregation analysis, and information analysis and prediction are performed on corresponding monitoring indicators of the road and bridge state monitored by the types of sensors. For example, suppose there are five kinds of sensors, B, C, D, and E, and the first cluster data, the second cluster data, the third cluster data, the fourth cluster data, and the fifth cluster data are sequentially used & , b, c, d, and e are indicated.
  • the second data of the sensor A can be clustered according to the monitoring requirement, and the trend of the monitoring index of the road bridge corresponding to the monitoring of the sensor A is obtained.
  • the second data of sensors B and C can be clustered according to the monitoring requirements, and the trends of the monitoring indicators of the road bridges corresponding to the sensors B and C are obtained. It is also possible to cluster the second data of the sensors A, B, C, D and E of the sensor in turn according to the monitoring requirements, and sequentially obtain &, b, c, d and e, and then a, b, c, d and e perform overall analysis and prediction to obtain the overall trend of road and bridge status.
  • Step S303 matching a curve corresponding to the trend of the monitoring indicator with a curve corresponding to the preset standard model, if the curve corresponding to the trend of the monitoring indicator is placed in the same coordinate as the curve corresponding to the preset standard model. If the deviation degree between the curve corresponding to the trend of the monitoring index and the curve corresponding to the preset standard model is greater than the preset threshold ⁇ , it is determined that the trend of the monitoring indicator fails to match the preset standard model. ; If the match fails, the notification is notified by message.
  • FIG. 4 is a view showing a comparison of a curve corresponding to a trend of a monitoring index and a curve corresponding to a preset standard model.
  • Q represents the trend
  • T represents the daytime.
  • the trend corresponding to the trend of the monitoring index is fl
  • the curve corresponding to the preset standard model is f0.
  • the fl is compared with f0. If the deviation degree between fl and f0 is greater than the preset threshold ⁇ , it is judged that the trend of the monitoring index fails to match the preset standard model.
  • the preset threshold can be set according to actual needs.
  • the warning notification is performed by means of a message, so that the relevant personnel can take relevant measures after receiving the early warning notification.
  • the way the message is sent can be customized. It can be a single monitoring indicator.
  • the police notice may also be an abnormal warning of the overall trend of the road and bridge state (only a single monitoring indicator is abnormal, no warning notice is given), or it may be an early warning notification of certain related monitoring indicators. It can also be a way to trigger an alert notification based on other conditions that are customized to the actual needs.
  • the monitoring and trend analysis of various monitoring indicators of the road and bridge state can be flexibly performed: it may be a trend of separately analyzing one monitoring index, or may be analysis of several of the monitoring indicators ( Not including all) Trends in monitoring indicators can also be trends in the analysis of all monitoring indicators.
  • FIG. 5 shows the sensor-based road bridge state provided by the third embodiment of the present invention.
  • the sensor-based road bridge state monitoring method specifically includes the following steps S401 to S406.
  • Step S401 Acquire first data collected by the sensor, where the sensor is located at a preset position of the road bridge, and the number of the sensors is greater than a minimum number of sensors required to monitor the state of the road bridge.
  • step 401 The execution process of step 401 is similar to the execution process of step 101 shown in FIG. 1, and details are not described herein again.
  • Step S402 Send the second data that meets the preset condition in the first data to the server, where the preset condition is that the collection time is in a preset time range or the data value is out of a preset range.
  • step S402 is similar to the execution process of step 102 shown in FIG. 1, and details are not described herein again.
  • Step S403 Clustering data collected by the same sensor in the second data to obtain cluster data.
  • Step S403 Perform clustering analysis on the cluster data to obtain various states of the road and bridge state. Monitor trends in indicators.
  • step S404 is similar to the execution process of step S302 shown in FIG. 3, and details are not described herein again.
  • Step S405 Matching the curve corresponding to the trend of the monitoring index with the curve corresponding to the preset standard model, if the curve corresponding to the trend of the monitoring index is placed in the same coordinate as the curve corresponding to the preset standard model Performing an alignment, wherein the deviation degree between the curve corresponding to the trend of the monitoring index and the curve corresponding to the preset standard model is greater than a preset threshold ⁇ , and determining the trend of the monitoring indicator and the preset target The quasi-model match fails; if the match fails, the notification is notified by message.
  • step S405 is similar to the execution process of step S303 shown in FIG. 3, and details are not described herein again.
  • Step S406 When the trend of the monitoring indicator is abnormal, the monitoring frequency of the sensor corresponding to the monitoring indicator is increased.
  • the monitoring frequency of the humidity sensor can be increased.
  • the monitoring frequency of the humidity sensor can be increased, that is, the frequency at which the humidity sensor collects the first data is increased. For example, you can adjust the interval between preset turns to 1 second to 0.5 seconds or 0.1 second. After increasing the frequency at which the humidity sensor collects the first data, more second data can be further obtained and the second data is judged by the server, so that it can be quickly determined whether the humidity monitoring index is a true abnormality. If the humidity monitoring index is abnormal, it can further analyze the location of the humidity sensor that has caused the abnormality in the road bridge and make relevant warning notice.
  • the power supply mode of the sensor includes at least one of the following: solar power supply and wired power supply.
  • the daytime weather sensor While the daytime weather sensor is powered by solar energy, the sensor in the sun collects and transmits the first data while the sensor in the shadow sleeps. As the sun moves, different sensors receive sunlight at different times of the day, where sensors in the shadow zone stop collecting and transmitting the first data, while other sensors illuminated by the sun collect and transmit the bridge state. Corresponding monitoring indicators. Occasionally, the transmission of the first data may be interrupted by the occlusion of the passing vehicle. Although none of the sensors can be fully activated at any moment, it is guaranteed that a sufficient number of sensors are still being collected and transmitted.
  • a data, the monitoring mode formed by the number of sensors, the information gathering of the second data satisfying the preset condition in the first data makes the monitoring result of the road bridge state reliable, and is not affected by an individual or a certain area.
  • the working state of the sensor (such as sleep Or broken) the impact.
  • the sensor can be powered by a general cable, such as a street light.
  • the two power supply modes can reduce the dependence on the wired power supply mode to a certain extent, and the "shift mode" working mode of the solar power supply sensor can extend the service life of the sensor to a certain extent. Monitor costs.
  • FIG. 6 is a structural block diagram of a sensor-based road bridge condition monitoring system according to Embodiment 6 of the present invention.
  • the sensor-based road bridge condition monitoring system includes: a sensor 51, an obtaining unit 52, a processing transmitting unit 53, and a server 54.
  • the specific functions of each module are as follows:
  • the obtaining unit 52 is configured to acquire the first data collected by the sensor 51.
  • the sensor 51 is located at a preset position of the road bridge, and the number of the sensors 51 is greater than the minimum number of sensors 51 required to monitor the road bridge state.
  • the processing sending unit 53 is configured to send the second data in the first data that meets the preset condition to the server 54 by using a preset condition that the collection time is in a preset time range or the data value is out of a preset range.
  • the server 54 is configured to analyze the trend of the monitoring indicator of the road and bridge state according to the second data, and notify the abnormality of the trend of the monitoring indicator.
  • the sensor-based road bridge condition monitoring system collects the first data by using a minimum number of sensors located at a preset position of the road bridge than the sensor required to monitor the state of the road bridge, and the first data is collected.
  • the second data that meets the preset condition is sent to the server; the trend of the monitoring index of the road and bridge state is analyzed according to the second data, and the trend of the monitoring indicator is abnormal, and the warning notice is solved, which solves the high monitoring cost and monitoring of the existing road and bridge state monitoring technology.
  • the sensor at the preset position of the bridge ensures the comprehensiveness of the monitoring results.
  • Example 7 Each type (including the case of only one type of sensor) has a larger number of sensors than the minimum number of sensors required to monitor the state of the bridge, which makes the bridge The monitoring of the state is not affected by the working state of some sensors, avoiding the secondary construction and the monitoring cost and low efficiency caused by the secondary construction, the monitoring cost is low and the monitoring efficiency is high. [0078] Example 7
  • the sensor-based road bridge condition monitoring system provided in Embodiment 7 of the present invention can adopt the structural block diagram shown in FIG. 6.
  • the sensor-based road bridge condition monitoring system includes: a sensor 51, an acquisition unit 52, a processing transmitting unit 53, and a server 54.
  • the specific functions of each module are as follows:
  • the acquiring unit 52 is configured to acquire the first data collected by the sensor 51.
  • the sensor 51 is located at a preset position of the road bridge, and the number of the sensors 51 is greater than the minimum number of sensors 51 required to monitor the road bridge state.
  • the processing sending unit 53 is configured to send the second data that meets the preset condition in the first data to the server 54 by using a preset condition that the collection time is in a preset time range or the data value is out of a preset range.
  • the server 54 is configured to analyze the trend of the monitoring indicator of the road and bridge state according to the second data, and monitor the trend of the indicator abnormality and notify the warning.
  • the sensor 51 includes a plurality of types, each of the sensors 51 corresponding to one of the monitoring indicators for monitoring the state of the road bridge; the number of the sensors 51 is each sensor required for monitoring various monitoring indicators of the road and bridge state. Multiple times the sum of the minimum number of 51.
  • the monitoring and trend analysis of various monitoring indicators of the road and bridge state can be flexibly performed: it may be a trend of separately analyzing one monitoring index, or may be analysis of several of the monitoring indicators ( Not including all) Trends in monitoring indicators can also be trends in the analysis of all monitoring indicators.
  • FIG. 7 is a structural block diagram of a sensor-based road bridge state monitoring system according to Embodiment 9 of the present invention.
  • the sensor-based road bridge condition monitoring system includes: a sensor 5 1 , an obtaining unit 52 , a processing transmitting unit 53 , and a server 54 .
  • the specific functions of each module are as follows:
  • the acquiring unit 52 is configured to acquire the first data collected by the sensor 51.
  • the sensor 51 is located at a preset position of the road bridge, and the number of the sensors 51 is greater than the minimum number of sensors 51 required to monitor the road bridge state.
  • the processing sending unit 53 is configured to send the second data that meets the preset condition in the first data to the server 54 by using a preset condition that the collection time is in a preset time range or the data value is out of a preset range.
  • the server 54 is configured to analyze the trend of the monitoring indicator of the road and bridge state according to the second data, and notify the abnormality of the trend of the monitoring indicator.
  • the senor 51 includes a plurality of types, and each of the sensors 51 corresponds to one of the monitoring indicators for monitoring the state of the road bridge.
  • the number of sensors 51 is required for monitoring various monitoring indicators of the road and bridge state. Multiple times the sum of the minimum number of each type of sensor 51.
  • the server 54 includes: a clustering unit 541, configured to cluster the data collected by the same sensor 51 in the second data to obtain clustering data.
  • a clustering unit 541 configured to cluster the data collected by the same sensor 51 in the second data to obtain clustering data.
  • the analysis obtaining unit 542 is configured to perform clustering analysis on the cluster data to obtain trends of various monitoring indicators of the road and bridge state.
  • the warning notification unit 543 is configured to: when the trend is abnormal, notify the notification by means of a message.
  • the sensor-based road and bridge condition monitoring system increases the monitoring frequency of the sensor corresponding to the abnormal monitoring index, obtains more data, and performs trend analysis again to determine the abnormal monitoring index. Whether it is really abnormal, the accuracy of the monitoring indicator trend analysis results is improved. In addition, since the monitoring frequency of the sensor corresponding to the abnormal monitoring index is increased, the pertinence is strong and the processing efficiency is higher.
  • the sensor-based road bridge condition monitoring system provided in Embodiment 9 of the present invention can adopt the structural block diagram shown in FIG. 6.
  • the sensor-based road bridge condition monitoring system includes: a sensor 51, an acquisition unit 52, a processing transmitting unit 53, and a server 54.
  • the specific function of each module is as follows: [0096]
  • the acquiring unit 52 is configured to acquire the first data collected by the sensor 51, and the sensor 51 is located at a preset position of the road bridge, and the number of the sensors 51 is greater than the minimum of the sensor 51 required to monitor the road bridge state. Quantity.
  • the processing sending unit 53 is configured to send, to the server, the second data that meets the preset condition in the first data.
  • the preset condition is that the collection time is within the preset time range or the data value is out of the preset range.
  • the server 54 is configured to analyze the trend of the monitoring index of the road and bridge state according to the second data, and notify the abnormality of the trend of the monitoring indicator.
  • the power supply mode of the sensor 51 includes at least one of the following: solar power supply and wired power supply.
  • the two power supply modes can reduce the dependence on the wired power supply mode to some extent.
  • FIG. 8 is a structural block diagram of a sensor-based road bridge state monitoring system according to Embodiment 11 of the present invention.
  • the sensor-based road and bridge condition monitoring system includes: sensing The unit 51, the obtaining unit 52, the processing transmitting unit 53, and the server 54.
  • the specific functions of each module are as follows:
  • the obtaining unit 52 is configured to acquire the first data collected by the sensor 51.
  • the sensor 51 is located at a preset position of the road bridge, and the number of the sensors 51 is greater than the minimum number of sensors 51 required to monitor the road bridge state.
  • the processing sending unit 53 is configured to send the second data in the first data that meets the preset condition to the server 54 by using a preset condition that the collection time is in a preset time range or the data value is out of a preset range.
  • the server 54 is configured to analyze the trend of the monitoring indicator of the road and bridge state according to the second data, and monitor the trend of the indicator abnormality and notify the warning.
  • the method further includes: an increasing unit, configured to increase a monitoring frequency of the sensor 51 corresponding to the monitoring indicator when the trend of the monitoring indicator is abnormal.
  • the server 54 includes:
  • the clustering unit 541 is configured to cluster the data collected by the same sensor 51 in the second data to obtain cluster data.
  • the analysis obtaining unit 542 is configured to perform clustering analysis on the cluster data to obtain trends of various monitoring indicators of the road and bridge state.
  • the warning notification unit 543 is configured to: when the trend is abnormal, notify the notification by means of a message.
  • the monitoring and trend analysis of the monitoring indicators of the road and bridge state can be flexibly performed: it may be a trend of separately analyzing one monitoring index, or may be analysis of several of the monitoring indicators (excluding All) Monitoring trends in indicators can also be a trend in analyzing all monitoring indicators.
  • the disclosed apparatus and method may be implemented in other manners.
  • the system embodiment described above is merely illustrative.
  • the division of the module or unit is only a logical function division, and the actual implementation may have another division manner, for example, multiple units or components may be used. Combined or can be integrated into another system, or some features can be ignored, or not executed.
  • the coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection through some interface, device or unit, and may be in electrical, mechanical or other form.
  • the unit described as a separate component may or may not be physically distributed, and the component displayed as a unit may or may not be a physical unit, that is, may be located in one place, or may be distributed to multiple On the network unit. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of the embodiment.
  • each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.
  • the above integrated unit can be implemented in the form of hardware or in the form of a software functional unit.
  • the integrated unit if implemented in the form of a software functional unit and sold or used as a standalone product, may be stored in a computer readable storage medium. Based on such understanding, the present invention is implemented
  • the technical solution of the example or the contribution of the prior art or all or part of the technical solution may be embodied in the form of a software product stored in a storage medium, including a plurality of instructions.
  • a computer device which may be a personal computer, a server, or a network device, etc.
  • a processor is used to perform all or part of the steps of the method described in the various embodiments of the embodiments of the present invention.
  • the foregoing storage medium includes: a U disk, a mobile hard disk, a read-only memory (R 0M, Read-Only Memory), a random access memory (RAM), a magnetic disk or an optical disk, and the like, which can store program codes. medium.

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Abstract

A sensor-based road bridge status monitoring method and system. The method comprises: acquiring first data collected by sensors, the sensors being located at pre-determined positions of a road bridge, and a number of sensors being greater than a minimum number of sensors required to monitor road bridge status (S101); sending second data which satisfy a pre-determined condition from among the first data to a server, the pre-determined condition being a collection time occurring within a pre-determined time range or a data value exceeding a pre-determined range (S102); according to the second data, determining a trend of a monitored indicator of road bridge status, matching the trend of the monitored indicator with a pre-determined standard model, and if matching fails, giving a warning notification (S103).

Description

基于传感器的路桥状态监测方法及系统  Sensor-based road and bridge condition monitoring method and system
技术领域  Technical field
[0001] 本发明属于数据监测技术领域, 尤其涉及一种基于传感器的路桥状态监测方法 及系统。  [0001] The present invention belongs to the field of data monitoring technologies, and in particular, to a sensor-based road bridge state monitoring method and system.
背景技术  Background technique
[0002] 目前, 对大跨径路桥进行状态监测来确保路桥结构的安全并实现早期预整, 避 免结构损伤或退化的发展, 减少昂贵的修复费用甚至结构的垮塌, 已经成为当 今工程界的热点问题, 大跨径路桥的状态监测技术也因此成为路桥工程学科研 究和发展的一个重要领域。  [0002] At present, the state monitoring of large-span road bridges to ensure the safety of road and bridge structures and to achieve early pre-finishing, to avoid the development of structural damage or degradation, to reduce expensive repair costs and even collapse of structures, has become a hot topic in today's engineering circles. The problem, the state monitoring technology of long-span road and bridge has also become an important field of research and development of road and bridge engineering.
[0003] 现有的路桥状态监测方法主要有两种:  [0003] There are two main methods for monitoring road and bridge status:
[0004] 其一是: 基于人工采集的原始数据, 进行实验室分析。 该技术方案的实现需要 投入大量的人力物力, 效率以及分析的准确率较低, 不适合大跨径路桥护理的 要求。  [0004] One of them is: performing laboratory analysis based on raw data collected manually. The realization of this technical solution requires a lot of manpower and material resources, efficiency and low accuracy of analysis, and is not suitable for the requirements of long-span road and bridge nursing.
[0005] 其二是: 在路桥的各个区域布设传感器自动采集数据并传送到服务器, 之后再 调取服务器中的数据进行分析。 该技术方案的实现要求所布设的传感器均应处 于正常工作的状态, 对传感器的性能要求很高, 例如具有高稳定性的复杂传感 器, 同吋需要定期替换不能够正常工作的传感器, 因此前期成本高, 后期维护 难度大。  [0005] The second is: the sensors are automatically collected in various areas of the road bridge and transmitted to the server, and then the data in the server is retrieved for analysis. The realization of the technical solution requires that the installed sensors should be in a normal working state, and the performance of the sensor is very high, for example, a complex sensor with high stability, and the sensor needs to be replaced regularly, so the initial cost High, late maintenance is difficult.
技术问题  technical problem
[0006] 鉴于此, 本发明实施例提供一种基于传感器的路桥状态监测方法及系统, 以解 决现有路桥状态监测技术存在的监测成本高、 监测效率低的问题。  In view of this, the embodiments of the present invention provide a sensor-based road bridge state monitoring method and system, which solves the problems of high monitoring cost and low monitoring efficiency existing in the existing road and bridge state monitoring technology.
问题的解决方案  Problem solution
技术解决方案  Technical solution
[0007] 本发明实施例的第一方面, 提供了一种基于传感器的路桥状态监测方法, 包括 [0008] 获取传感器采集的第一数据, 所述传感器位于路桥的预设位置, 所述传感器的 数量大于监测路桥状态所需传感器的最小数量; [0007] A first aspect of the embodiments of the present invention provides a sensor-based road bridge state monitoring method, including [0008] acquiring first data collected by a sensor, where the sensor is located at a preset position of a road bridge, and the sensor is The number is greater than the minimum number of sensors required to monitor the state of the bridge;
[0009] 将所述第一数据中满足预设条件的第二数据发送给服务器, 所述预设条件为采 集吋间位于预设吋间范围或数据值超出预设范围;  [0009] sending, to the server, the second data that meets the preset condition in the first data, where the preset condition is that the collection time is in a preset time range or the data value is out of a preset range;
[0010] 根据所述第二数据确定路桥状态的监测指标的趋势, 并将所述监测指标的趋势 与预设标准模型进行匹配, 若匹配失败, 则预警通知。 [0010] determining a trend of the monitoring indicator of the road bridge state according to the second data, and matching the trend of the monitoring indicator with a preset standard model, and if the matching fails, the warning notification is performed.
[0011] 第二方面, 提供了一种基于传感器的路桥状态监测系统, 包括: 传感器、 获取 单元、 处理发送单元和服务器;  [0011] In a second aspect, a sensor-based road and bridge condition monitoring system is provided, including: a sensor, an acquiring unit, a processing transmitting unit, and a server;
[0012] 所述获取单元, 用于获取传感器采集的第一数据, 所述传感器位于路桥的预设 位置, 所述传感器的数量大于监测路桥状态所需传感器的最小数量;  [0012] the acquiring unit is configured to acquire first data collected by the sensor, where the sensor is located at a preset position of the road bridge, and the number of the sensors is greater than a minimum number of sensors required to monitor the state of the road bridge;
[0013] 所述处理发送单元, 用于将所述第一数据中满足预设条件的第二数据发送给服 务器, 所述预设条件为采集吋间位于预设吋间范围或数据值超出预设范围; [0013] the processing sending unit is configured to send, to the server, the second data that meets the preset condition in the first data, where the preset condition is that the collection time is in a preset time range or the data value exceeds the pre- Scope
[0014] 所述服务器, 用于根据所述第二数据确定路桥状态的监测指标的趋势, 并将所 述监测指标的趋势与预设标准模型进行匹配, 若匹配失败, 则预警通知。 [0014] the server is configured to determine a trend of the monitoring indicator of the road bridge state according to the second data, and match the trend of the monitoring indicator with a preset standard model, and if the matching fails, the warning notification is performed.
发明的有益效果  Advantageous effects of the invention
有益效果  Beneficial effect
[0015] 本发明实施例提供的技术方案带来的有益效果是: 通过获取位于路桥预设位置 的传感器采集的第一数据, 将第一数据中满足预设条件的第二数据发送给服务 器; 根据所述第二数据分析路桥状态的监测指标的趋势, 解决了现有路桥状态 监测技术存在的监测成本高、 监测效率低的问题; 在路桥预设位置的传感器保 证了监测结果的全面性, 且传感器的数量大于监测路桥状态所需传感器的最小 数量使得对路桥状态的监测不会受到部分传感器的工作状态的影响, 避免了二 次施工以及因二次施工造成的监测成本和低效率, 监测成本低且监测效率高。 对附图的简要说明  [0015] The technical solution provided by the embodiment of the present invention has the following beneficial effects: sending the second data that meets the preset condition in the first data to the server by acquiring the first data collected by the sensor located at the preset position of the road bridge; According to the second data, the trend of the monitoring indicators of the road and bridge state is analyzed, and the existing monitoring problem of the road and bridge state monitoring technology is high, and the monitoring efficiency is low; the sensor at the preset position of the road bridge ensures the comprehensiveness of the monitoring result, And the number of sensors is greater than the minimum number of sensors required to monitor the state of the bridge and bridge so that the monitoring of the state of the road and bridge is not affected by the working state of some sensors, avoiding the secondary construction and the monitoring cost and low efficiency caused by the secondary construction, monitoring Low cost and high monitoring efficiency. Brief description of the drawing
附图说明  DRAWINGS
[0016] 为了更清楚地说明本发明实施例中的技术方案, 下面将对实施例描述中所需要 使用的附图作简单地介绍, 显而易见地, 下面描述中的附图仅仅是本发明的一 些实施例, 对于本领域普通技术人员来讲, 在不付出创造性劳动的前提下, 还 可以根据这些附图获得其他的附图。 [0017] 图 1是本发明实施例一提供的基于传感器的路桥状态监测方法的流程图; [0016] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings used in the description of the embodiments will be briefly described below. Obviously, the drawings in the following description are only some of the present invention. For the embodiments, those skilled in the art can obtain other drawings according to the drawings without any creative work. 1 is a flowchart of a sensor-based road bridge state monitoring method according to Embodiment 1 of the present invention;
[0018] 图 2是本发明实施例提供的传感器采集与发送数据的吋刻示意图; 2 is a schematic diagram of engraving of sensor acquisition and transmission data according to an embodiment of the present invention;
[0019] 图 3是本发明实施例三提供的基于传感器的路桥状态监测方法的流程图; 3 is a flowchart of a sensor-based road bridge state monitoring method according to Embodiment 3 of the present invention;
[0020] 图 4是本发明实施例提供的监测指标的趋势对应的曲线与预设标准模型对应的 曲线的对比示意图; 4 is a schematic diagram showing a comparison of a curve corresponding to a trend of a monitoring index and a curve corresponding to a preset standard model according to an embodiment of the present invention;
[0021] 图 5是本发明实施例一提供的基于传感器的路桥状态监测方法步骤 S103的具体 实现流程图;  [0021] FIG. 5 is a flowchart of a specific implementation of the sensor-based road bridge state monitoring method step S103 according to the first embodiment of the present invention;
[0022] 图 6是本发明实施例六提供的基于传感器的路桥状态监测系统的结构框图; [0023] 图 7是本发明实施例八提供的基于传感器的路桥状态监测系统的结构框图; [0024] 图 8是本发明实施例十提供的基于传感器的路桥状态监测系统的结构框图。  6 is a structural block diagram of a sensor-based road bridge state monitoring system according to Embodiment 6 of the present invention; [0023] FIG. 7 is a structural block diagram of a sensor-based road bridge state monitoring system according to Embodiment 8 of the present invention; [0024] 8 is a structural block diagram of a sensor-based road bridge state monitoring system according to Embodiment 10 of the present invention.
本发明的实施方式 Embodiments of the invention
[0025] 为使本发明的目的、 技术方案和优点更加清楚, 下面将结合附图对本发明的实 施方式作进一步地详细描述。  The embodiments of the present invention will be further described in detail below with reference to the accompanying drawings.
[0026] 现在将详细地参考具体实施例, 这些实施例的示例在附图中被示出。 在下面的 详细描述中示出了许多具体细节, 以便于提供对各种所描述的实施例的充分理 解。 但是, 对本领域的普通技术人员来讲显而易见的是, 各种所描述的实施例 可以没有在这些具体细节的情况下被实践。 在其他情况下, 没有详细地描述众 所周知的方法、 过程、 部件、 电路、 和网络, 从而不会不必要地使实施例的方 面晦涩难懂。  Reference will now be made in detail to the preferred embodiments embodiments embodiments Numerous specific details are shown in the following detailed description in order to provide a It will be apparent to those skilled in the art, however, that the various described embodiments may be practiced without the specific details. In other instances, well-known methods, procedures, components, circuits, and networks are not described in detail so as not to unnecessarily obscure the embodiments.
[0027] 实施例一  [0027] Embodiment 1
[0028] 图 1示出了本发明实施例一提供的基于传感器的路桥状态监测方法的流程图。  1 is a flowchart of a sensor-based road bridge state monitoring method according to Embodiment 1 of the present invention.
如图 1所示, 该基于传感器的路桥状态监测方法具体包括如下步骤 S101至步骤 S1 03。  As shown in FIG. 1, the sensor-based road bridge state monitoring method specifically includes the following steps S101 to S1 03.
[0029] 步骤 S101 : 获取传感器采集的第一数据, 所述传感器位于路桥的预设位置, 所 述传感器的数量大于监测路桥状态所需传感器的最小数量。  [0029] Step S101: Acquire first data collected by the sensor, where the sensor is located at a preset position of the road bridge, and the number of the sensors is greater than a minimum number of sensors required to monitor the state of the road bridge.
[0030] 其中, 预设位置是根据监测需要而设定的, 处于预设位置的传感器对路桥状态 的各个监测指标进行监测, 实吋采集第一数据, 第一数据包括相应监测指标的 数据 (例如压力值、 温湿度值) 、 传感器的种类以及传感器的位置信息, 位置 信息可以是标号的形式, 例如可以用 A3代表路桥 A区域的第三子区域。 传感器可 以是一种, 也可以是多种。 相应地, 可以是一种传感器监测路桥状态的多个监 测指标; 也可以是一种传感器对应监测路桥状态的一个监测指标, 即多种传感 器分别对应监测路桥状态的各个监测指标; 还可以是一定数量的传感器与对应 数量的监测指标的其他对应监测关系 (例如, 多种传感器中的某一种传感器对 应监测多个监测指标中的两个监测指标) 。 其中, 每一种 (包括只有一种传感 器的情况) 传感器的数量大于监测路桥状态所需传感器的最小数量。 优选地, 传感器的数量可以是远远超过最小数量。 例如, 最小数量为 1000个, 对应地, 远远超过可以是 3000个。 上述预设位置的设定以及传感器位置的覆盖情况的前 提是能够保证路桥状态监测的全面性。 [0030] wherein, the preset position is set according to the monitoring requirement, and the sensor in the preset position monitors each monitoring indicator of the road and bridge state, and collects the first data, and the first data includes the corresponding monitoring index. Data (such as pressure value, temperature and humidity value), type of sensor, and position information of the sensor, the position information may be in the form of a label, for example, A3 may be used to represent the third sub-area of the road bridge A area. The sensor can be one type or multiple types. Correspondingly, it may be a plurality of monitoring indicators for monitoring the state of the road and bridge; or a monitoring indicator corresponding to the state of monitoring the road and bridge, that is, each of the sensors respectively corresponding to monitoring the state of the road and bridge; The number of sensors and other corresponding monitoring relationships of the corresponding number of monitoring indicators (for example, one of the plurality of sensors corresponds to monitoring two of the plurality of monitoring indicators). Among them, the number of sensors (including the case of only one type of sensor) is greater than the minimum number of sensors required to monitor the state of the bridge. Preferably, the number of sensors can be much larger than the minimum number. For example, the minimum number is 1000, correspondingly, far more than 3,000. The premise of the above preset position setting and the coverage of the sensor position is that the comprehensiveness of the road and bridge state monitoring can be ensured.
[0031] 在本发明实施例中, 每一种 (包括只有一种传感器的情况) 传感器的数量大于 监测路桥状态所需传感器的最小数量, 这使得对路桥状态的监测不会受到部分 传感器的工作状态的影响, 如此也避免了对处于异常工作状态的传感器的维修 或者更换而造成的二次施工。  [0031] In the embodiment of the present invention, the number of sensors (including the case of only one type of sensor) is greater than the minimum number of sensors required to monitor the state of the bridge, which makes the monitoring of the state of the bridge not subject to the operation of some sensors. The effect of the state, thus avoiding the secondary construction caused by the repair or replacement of the sensor in an abnormal working state.
[0032] 步骤 S102: 将所述第一数据中满足预设条件的第二数据发送给服务器, 所述预 设条件为采集吋间位于预设吋间范围或数据值超出预设范围。  [0032] Step S102: Send the second data that meets the preset condition in the first data to the server, where the preset condition is that the collection time is in a preset time range or the data value is out of a preset range.
[0033] 传感器可以是周期性地采集第一数据, 对应地数据的发送也可以通过周期性发 送的方式来实现。 参考图 2, 数据采集的间隔吋间为 1秒, 数据发送的间隔吋间 为 1秒。 预设吋间可以是数据的发送吋间段, 第 2秒到第 3秒是预设吋间之一, 在 此期间进行数据的采集与发送; 第 3秒到第 4秒不属于预设吋间, 因此不发送数 据; 第 5秒到第 6秒是预设吋间之一, 在此期间进行数据的发送, 但只发送的数 据是从第 5秒到第 6秒传感器采集的, 这是为了避免和上述第 2秒到第 3秒发送的 数据重叠造成重复发送。 因此, 预设吋间可以是第 2秒到第 3秒以及第 5秒到第 6 秒, 在不需要发送数据的间隔期间如第 1秒、 第 4秒以及第 7秒就不满足预设条件 。 为了便于叙述, 图 2中的单位用的是 1秒, 可以理解的是, 实际应用中可以根 据监测需要进行调整, 例如将单位调整为 10秒或者 1分等。  [0033] The sensor may collect the first data periodically, and correspondingly, the sending of the data may also be implemented by means of periodic transmission. Referring to Figure 2, the data acquisition interval is 1 second, and the data transmission interval is 1 second. The preset time can be the data transmission interval, and the second to third seconds are one of the preset time periods, during which data is collected and transmitted; the third to fourth seconds are not presets. Therefore, the data is not sent; the 5th to 6th seconds is one of the preset times, during which data is transmitted, but only the data sent is collected from the 5th to 6th seconds of the sensor. In order to avoid overlapping with the data transmitted from the second to third seconds described above, repeated transmission is caused. Therefore, the preset time can be from 2 seconds to 3 seconds and from 5 seconds to 6 seconds, and the preset conditions are not satisfied during the interval in which data is not required to be transmitted, such as 1st, 4th, and 7th. . For convenience of description, the unit in Figure 2 is used for 1 second. It can be understood that the actual application can be adjusted according to the monitoring needs, for example, the unit is adjusted to 10 seconds or 1 minute.
[0034] 不同吋间段预设范围可能不同, 例如压力值、 湿度值、 温度值等均可以根据历 史统计数据得出。 可以理解的是, 只有当采集到的第一数据超出预设范围吋, 才将第一数据中超出预设范围的第二数据进行发送。 [0034] The preset range may be different in different turns, such as pressure value, humidity value, temperature value, etc. Historical statistics are available. It can be understood that the second data in the first data that exceeds the preset range is sent only when the collected first data exceeds the preset range.
[0035] 在本发明实施例中, 只发送第一数据中满足预设条件的第二数据可以大大减少 发送对路桥状态监测不相关的数据, 能够提高数据发送的效率。  In the embodiment of the present invention, only transmitting the second data that meets the preset condition in the first data can greatly reduce the data that is not related to the monitoring of the road bridge state, and can improve the efficiency of data transmission.
[0036] 步骤 S103: 根据所述第二数据确定路桥状态的监测指标的趋势, 并将所述监测 指标的趋势与预设标准模型进行匹配, 若匹配失败, 则预警通知。  [0036] Step S103: Determine a trend of the monitoring indicator of the road and bridge state according to the second data, and match the trend of the monitoring indicator with a preset standard model, and if the matching fails, the early warning notification.
[0037] 由步骤 S102中的说明可知, 第二数据是能够反应路桥状态的监测指标的趋势的 有效数据。 基于这些有效的第二数据, 对其进行分析以获得监测指标的趋势。 可以理解的是, 此处监测指标的趋势可以是由各个监测指标形成的路桥状态的 整体趋势, 也可以是单个监测指标的趋势。 对应地, 根据预设标准模型进行通 知。 例如, 可以是当单个监测指标的趋势与预设标准模型进行匹配, 若匹配失 败, 则预警通知; 也可以是只有当路桥状态的整体趋势与预设标准模型进行匹 配, 若匹配失败才预警通知, 单个监测指标的趋势不需要与预设标准模型进行 匹配, 也不单独预警通知; 还可以是单个监测指标的趋势与预设标准模型进行 匹配, 若匹配失败, 则预警通知, 路桥状态的整体趋势与预设标准模型进行匹 配, 若匹配失败, 也预警通知。  [0037] As can be seen from the description in step S102, the second data is valid data that can reflect the trend of the monitoring index of the road bridge state. Based on these valid second data, they are analyzed to obtain trends in monitoring indicators. It can be understood that the trend of monitoring indicators here may be an overall trend of road and bridge states formed by various monitoring indicators, or a trend of individual monitoring indicators. Correspondingly, the notification is made according to a preset standard model. For example, when the trend of a single monitoring indicator matches the preset standard model, if the matching fails, the warning notification is sent; or the overall trend of the road and bridge state is matched with the preset standard model, and if the matching fails, the warning notification is The trend of a single monitoring indicator does not need to match the preset standard model, nor is it a separate warning notification; it can also be that the trend of a single monitoring indicator matches the preset standard model. If the matching fails, the warning notification, the overall state of the road and bridge The trend matches the preset standard model, and if the match fails, the notification is also alerted.
[0038] 综上所述, 本发明实施例提供的基于传感器的路桥状态监测方法, 通过位于路 桥预设位置的数量大于监测路桥状态所需传感器的最小数量的传感器采集第一 数据, 将第一数据中满足预设条件的第二数据发送给服务器; 根据第二数据分 析路桥状态的监测指标的趋势, 所述监测指标的趋势异常则预警通知, 解决了 现有路桥状态监测技术存在的监测成本高、 监测效率低的问题; 在路桥预设位 置的传感器保证了监测结果的全面性, 每一种 (包括只有一种传感器的情况) 传感器的数量大于监测路桥状态所需传感器的最小数量, 这使得对路桥状态的 监测不会受到部分传感器的工作状态的影响, 避免了二次施工以及因二次施工 造成的监测成本和低效率, 监测成本低且监测效率高。  [0038] In summary, the sensor-based road and bridge state monitoring method provided by the embodiment of the present invention collects the first data by using a minimum number of sensors located at a preset position of the road bridge than the sensor required to monitor the state of the road bridge, and will be first. The second data in the data that meets the preset condition is sent to the server; the trend of the monitoring indicator of the road and bridge state is analyzed according to the second data, and the trend of the monitoring indicator is abnormal, and the warning notice is used to solve the monitoring cost of the existing road and bridge state monitoring technology. High, low monitoring efficiency; Sensors in the preset position of the road bridge ensure the comprehensiveness of the monitoring results, each type (including the case of only one type of sensor) The number of sensors is greater than the minimum number of sensors required to monitor the state of the bridge, this The monitoring of the state of the road and bridge is not affected by the working state of some sensors, avoiding the secondary construction and the monitoring cost and low efficiency caused by the secondary construction, the monitoring cost is low and the monitoring efficiency is high.
[0039] 实施例二  [0039] Embodiment 2
[0040] 在实施例一的基础上, 优选地, 所述传感器包括多种, 每一种所述传感器对应 监测路桥状态的各项监测指标中的一项监测指标; 所述传感器的数量是监测所 述路桥状态的各项监测指标所需的每一种传感器的最小数量之和的多倍。 [0040] On the basis of the first embodiment, preferably, the sensor includes a plurality of types, each of the sensors corresponding to one of the monitoring indicators for monitoring the state of the road bridge; the number of the sensors is monitoring Place A multiple of the sum of the minimum number of sensors required for each monitoring indicator of the road and bridge state.
[0041] 例如, 多种传感器包括: 温度传感器、 湿度传感器、 斜度传感器、 位移传感器 、 压力传感器和裂缝传感器。 这些传感器分别监测监测指标中的温度监测指标 、 湿度监测指标、 斜度监测指标、 位移监测指标、 压力监测指标和裂缝监测指 标, 使得对路桥状态的监测更为全面。 同吋, 一种传感器对应监测路桥状态的 各项监测指标中的一项监测指标的这种一一对应的监测关系便于数据的采集、 分类和处理, 有利于在监测指标的趋势异常吋快速、 准确地找出相对应的传感 器, 从而避免了繁琐的排査工作。 为了进一步保证对路桥状态的监测不会受到 部分传感器的工作状态的影响, 所述传感器的数量是监测所述路桥状态的各项 监测指标所需的每一种传感器的最小数量之和的多倍。 [0041] For example, various sensors include: a temperature sensor, a humidity sensor, a slope sensor, a displacement sensor, a pressure sensor, and a crack sensor. These sensors monitor the temperature monitoring indicators, humidity monitoring indicators, slope monitoring indicators, displacement monitoring indicators, pressure monitoring indicators and crack monitoring indicators in the monitoring indicators, so that the monitoring of the road and bridge status is more comprehensive. At the same time, the one-to-one monitoring relationship of one of the monitoring indicators corresponding to the monitoring of the state of the road and bridge is convenient for collecting, classifying and processing the data, which is beneficial to the abnormality of the monitoring index. Accurately find the corresponding sensor, thus avoiding cumbersome troubleshooting. In order to further ensure that the monitoring of the state of the road bridge is not affected by the operating state of some of the sensors, the number of the sensors is a multiple of the sum of the minimum number of each sensor required to monitor the monitoring indicators of the road and bridge state. .
[0042] 实施例三 Embodiment 3
[0043] 在实施例二的基础上, 作为本发明的实施例三, 图 3示出了本发明实施例一提 供的基于传感器的路桥状态监测方法步骤 S103的具体实现流程图。 步骤 S103具 体包括如下步骤 S301、 步骤 S302和步骤 S303。  On the basis of the second embodiment, as a third embodiment of the present invention, FIG. 3 is a flowchart showing a specific implementation of the sensor-based road bridge state monitoring method step S103 according to the first embodiment of the present invention. Step S103 specifically includes the following steps S301, S302, and S303.
[0044] 步骤 S301 : 将所述第二数据中由同一种传感器采集到的数据进行聚类获得聚类 数据。  [0044] Step S301: Clustering data collected by the same sensor in the second data to obtain cluster data.
[0045] 由步骤 S101可知, 第一数据包括相应监测指标的数据 (例如压力值、 温湿度值 ) 、 传感器的种类以及传感器的位置信息。 显然, 第二数据也包括相应监测指 标的数据 (例如压力值、 温湿度值) 、 传感器的种类以及传感器的位置信息。 又由实施例三中的描述可知: 每一种所述传感器对应监测路桥状态的各项监测 指标中的一项监测指标, 即路桥状态监测指标有几个就对应有几个种类的传感 器。 因此, 在对路桥状态的各项指标进行趋势分析吋, 只需在第二数据中对特 定种类传感器的第二数据进行聚类, 再进行趋势分析。 应当理解, 此处根据实 际需要, 也可以是先将所有种类传感器的第二数据分别进行聚类, 再分别对路 桥的监测指标进行趋势分析, 该方式适用于对路桥状态的所有监测指标进行趋 势分析从而监测路桥状态的整体趋势; 也可以是先聚类并筛选出一个或者部分 种类传感器的第二数据, 再分别对路桥的监测指标进行趋势分析, 该方式适用 于对路桥状态监测指标中的某一个或者某几个监测指标进行针对性的趋势分析 [0046] 步骤 S302: 将所述聚类数据进行汇聚分析, 获取所述路桥状态的各项监测指标 的趋势。 [0045] It can be seen from step S101 that the first data includes data of a corresponding monitoring indicator (for example, a pressure value, a temperature and humidity value), a type of the sensor, and position information of the sensor. Obviously, the second data also includes data of the corresponding monitoring indicators (such as pressure value, temperature and humidity value), the type of sensor, and the position information of the sensor. It can be seen from the description in the third embodiment that each of the sensors corresponds to one of the monitoring indicators for monitoring the state of the road and bridge, that is, there are several types of sensors corresponding to the road and bridge state monitoring indicators. Therefore, after performing trend analysis on various indicators of the road and bridge state, it is only necessary to cluster the second data of the specific type of sensors in the second data, and then perform trend analysis. It should be understood that, according to actual needs, the second data of all kinds of sensors may be clustered separately, and then the trend indicators of the road and bridge are separately analyzed. The method is applicable to trending all the monitoring indicators of the road and bridge state. Analyze to monitor the overall trend of the road and bridge state; it is also possible to first cluster and filter out the second data of one or a part of the sensors, and then analyze the trend of the road and bridge monitoring indicators separately, which is applicable to the road and bridge state monitoring indicators. Targeted trend analysis of one or several monitoring indicators [0046] Step S302: Perform clustering analysis on the clustering data to obtain trends of various monitoring indicators of the road and bridge state.
[0047] 基于步骤 S301中同一种传感器采集到的数据进行聚类获得的聚类数据, 例如, 对应于五种不同种类的传感器, 获得的聚类数据依次为第一聚类数据、 第二聚 类数据、 第三聚类数据、 第四聚类数据和第五聚类数据。 根据实际需要, 可选 取上述五个聚类数据进行任意组合中的一个或多个组合进行汇聚分析, 对所述 种类的传感器监测的路桥状态的相应监测指标进行信息分析与预测。 例如, 假 设有五个种类的传感器 、 B、 C、 D和 E, 第一聚类数据、 第二聚类数据、 第三 聚类数据、 第四聚类数据和第五聚类数据依次用&、 b、 c、 d和 e表示。 可以理解 的是, 在实际监测过程中, 可以根据监测需要仅对传感器 A的第二数据进行聚类 , 获取传感器 A对应监测的路桥的监测指标的趋势。 可以根据监测需要对传感器 B和 C的第二数据进行聚类, 获取传感器 B和 C对应监测的路桥的监测指标的趋势 。 也可以根据监测需要依次对传感器五个种类的传感器 A、 B、 C、 D和 E的第二 数据进行聚类, 依次获取&、 b、 c、 d和 e, 再对 a、 b、 c、 d和 e进行整体的分析与 预测, 获取路桥状态的整体趋势。  [0047] clustering data obtained by clustering based on data collected by the same sensor in step S301, for example, corresponding to five different kinds of sensors, the obtained cluster data is sequentially the first cluster data, the second cluster Class data, third cluster data, fourth cluster data, and fifth cluster data. According to actual needs, the above five cluster data may be selected to perform one or more combinations in any combination for aggregation analysis, and information analysis and prediction are performed on corresponding monitoring indicators of the road and bridge state monitored by the types of sensors. For example, suppose there are five kinds of sensors, B, C, D, and E, and the first cluster data, the second cluster data, the third cluster data, the fourth cluster data, and the fifth cluster data are sequentially used & , b, c, d, and e are indicated. It can be understood that, in the actual monitoring process, only the second data of the sensor A can be clustered according to the monitoring requirement, and the trend of the monitoring index of the road bridge corresponding to the monitoring of the sensor A is obtained. The second data of sensors B and C can be clustered according to the monitoring requirements, and the trends of the monitoring indicators of the road bridges corresponding to the sensors B and C are obtained. It is also possible to cluster the second data of the sensors A, B, C, D and E of the sensor in turn according to the monitoring requirements, and sequentially obtain &, b, c, d and e, and then a, b, c, d and e perform overall analysis and prediction to obtain the overall trend of road and bridge status.
[0048] 步骤 S303: 将所述监测指标的趋势对应的曲线与预设标准模型对应的曲线进行 匹配, 若所述监测指标的趋势对应的曲线与预设标准模型对应的曲线放在同一 个坐标系中进行比对, 所述监测指标的趋势对应的曲线与预设标准模型对应的 曲线之间的偏离程度值大于预设阈值吋, 则判断所述监测指标的趋势与预设标 准模型匹配失败; 若匹配失败, 则以消息的方式预警通知。  [0048] Step S303: matching a curve corresponding to the trend of the monitoring indicator with a curve corresponding to the preset standard model, if the curve corresponding to the trend of the monitoring indicator is placed in the same coordinate as the curve corresponding to the preset standard model. If the deviation degree between the curve corresponding to the trend of the monitoring index and the curve corresponding to the preset standard model is greater than the preset threshold 吋, it is determined that the trend of the monitoring indicator fails to match the preset standard model. ; If the match fails, the notification is notified by message.
[0049] 图 4示出了监测指标的趋势对应的曲线与预设标准模型对应的曲线的对比示意 图。 参考图 4, Q代表趋势, T代表吋间, 在吋间段 T1-T2内, 监测指标的趋势对 应的曲线为 fl, 预设标准模型对应的曲线为 f0。 将 fl与 f0进行比对, 若 fl与 f0之 间的偏离程度值大于预设阈值吋, 则判断所述监测指标的趋势与预设标准模型 匹配失败。 其中, 预设阈值可以根据实际需要进行设置。  [0049] FIG. 4 is a view showing a comparison of a curve corresponding to a trend of a monitoring index and a curve corresponding to a preset standard model. Referring to Figure 4, Q represents the trend, and T represents the daytime. In the inter-segment T1-T2, the trend corresponding to the trend of the monitoring index is fl, and the curve corresponding to the preset standard model is f0. The fl is compared with f0. If the deviation degree between fl and f0 is greater than the preset threshold 则, it is judged that the trend of the monitoring index fails to match the preset standard model. The preset threshold can be set according to actual needs.
[0050] 其中, 以消息的方式进行预警通知便于相关人员在接收到预警通知吋及吋采取 相关的措施。 消息的发送方式可以自定义, 可以是单个监测指标异常吋进行预 警通知, 也可以是路桥状态的整体趋势异常吋进行预警通知 (仅仅是单个监测 指标异常吋不进行预警通知) , 还可以是某几个相关联的监测指标同吋异常吋 进行预警通知, 此外还可以是根据实际需要自定义的其他条件触发预警通知的 方式。 [0050] wherein, the warning notification is performed by means of a message, so that the relevant personnel can take relevant measures after receiving the early warning notification. The way the message is sent can be customized. It can be a single monitoring indicator. The police notice may also be an abnormal warning of the overall trend of the road and bridge state (only a single monitoring indicator is abnormal, no warning notice is given), or it may be an early warning notification of certain related monitoring indicators. It can also be a way to trigger an alert notification based on other conditions that are customized to the actual needs.
[0051] 在本发明实施例中, 可以灵活地对路桥状态的各项监测指标进行监测与趋势分 析: 可以是单独分析一个监测指标的趋势、 也可以是分析各项监测指标中的几 个 (不包括全部) 监测指标的趋势、 还可以是分析所有各项监测指标的趋势。  [0051] In the embodiment of the present invention, the monitoring and trend analysis of various monitoring indicators of the road and bridge state can be flexibly performed: it may be a trend of separately analyzing one monitoring index, or may be analysis of several of the monitoring indicators ( Not including all) Trends in monitoring indicators can also be trends in the analysis of all monitoring indicators.
[0052] 实施例四  Embodiment 4
[0053] 在实施例三的基础上, 作为本发明的实施例四, 为了确定桥状态的各项监测指 标是否真的异常, 图 5示出了本发明实施例三提供的基于传感器的路桥状态监测 方法的流程图。 如图 5所示, 该基于传感器的路桥状态监测方法具体包括如下步 骤 S401至步骤 S406。  [0053] On the basis of the third embodiment, as a fourth embodiment of the present invention, in order to determine whether the monitoring indicators of the bridge state are really abnormal, FIG. 5 shows the sensor-based road bridge state provided by the third embodiment of the present invention. Flow chart of the monitoring method. As shown in FIG. 5, the sensor-based road bridge state monitoring method specifically includes the following steps S401 to S406.
[0054] 步骤 S401 : 获取传感器采集的第一数据, 所述传感器位于路桥的预设位置, 所 述传感器的数量大于监测路桥状态所需传感器的最小数量。  [0054] Step S401: Acquire first data collected by the sensor, where the sensor is located at a preset position of the road bridge, and the number of the sensors is greater than a minimum number of sensors required to monitor the state of the road bridge.
[0055] 步骤 401的执行过程与图 1所示的步骤 101的执行过程类似, 此处不再赘述。 [0055] The execution process of step 401 is similar to the execution process of step 101 shown in FIG. 1, and details are not described herein again.
[0056] 步骤 S402: 将所述第一数据中满足预设条件的第二数据发送给服务器, 所述预 设条件为采集吋间位于预设吋间范围或数据值超出预设范围。 [0056] Step S402: Send the second data that meets the preset condition in the first data to the server, where the preset condition is that the collection time is in a preset time range or the data value is out of a preset range.
[0057] 步骤 S402的执行过程与图 1所示的步骤 102的执行过程类似, 此处不再赘述。 [0057] The execution process of step S402 is similar to the execution process of step 102 shown in FIG. 1, and details are not described herein again.
[0058] 步骤 S403: 将所述第二数据中由同一种传感器采集到的数据进行聚类获得聚类 数据。 [0058] Step S403: Clustering data collected by the same sensor in the second data to obtain cluster data.
[0059] 步骤 S403的执行过程与图 3所示的步骤 S301的执行过程类似, 此处不再赘述 [0060] 步骤 S404: 将所述聚类数据进行汇聚分析, 获取所述路桥状态的各项监测指标 的趋势。  [0059] The execution process of step S403 is similar to the execution process of step S301 shown in FIG. 3, and details are not described herein again. [0060] Step S404: Perform clustering analysis on the cluster data to obtain various states of the road and bridge state. Monitor trends in indicators.
[0061] 步骤 S404的执行过程与图 3所示的步骤 S302的执行过程类似, 此处不再赘述。  [0061] The execution process of step S404 is similar to the execution process of step S302 shown in FIG. 3, and details are not described herein again.
[0062] 步骤 S405: 将所述监测指标的趋势对应的曲线与预设标准模型对应的曲线进行 匹配, 若所述监测指标的趋势对应的曲线与预设标准模型对应的曲线放在同一 个坐标系中进行比对, 所述监测指标的趋势对应的曲线与预设标准模型对应的 曲线之间的偏离程度值大于预设阈值吋, 则判断所述监测指标的趋势与预设标 准模型匹配失败; 若匹配失败, 则以消息的方式预警通知。 [0062] Step S405: Matching the curve corresponding to the trend of the monitoring index with the curve corresponding to the preset standard model, if the curve corresponding to the trend of the monitoring index is placed in the same coordinate as the curve corresponding to the preset standard model Performing an alignment, wherein the deviation degree between the curve corresponding to the trend of the monitoring index and the curve corresponding to the preset standard model is greater than a preset threshold 吋, and determining the trend of the monitoring indicator and the preset target The quasi-model match fails; if the match fails, the notification is notified by message.
[0063] 步骤 S405的执行过程与图 3所示的步骤 S303的执行过程类似, 此处不再赘述。  [0063] The execution process of step S405 is similar to the execution process of step S303 shown in FIG. 3, and details are not described herein again.
[0064] 步骤 S406: 当所述监测指标的趋势异常吋, 增大所述监测指标对应的传感器的 监测频率。 [0064] Step S406: When the trend of the monitoring indicator is abnormal, the monitoring frequency of the sensor corresponding to the monitoring indicator is increased.
[0065] 当监测指标中的趋势分析异常吋, 例如在对路桥状态的监测指标进行分析后发 现在同期相当的气候环境下, 湿度监测指标异常, 则可增大湿度传感器的监测 频率。 参考图 2, 当湿度监测指标异常吋, 可将湿度传感器的监测频率增大, 即 增大湿度传感器采集第一数据的频率。 例如, 可以将预设吋间之间的间隔吋间 1 秒调整为 0.5秒或者 0.1秒。 增大湿度传感器采集第一数据的频率后, 可进一步获 得更多的第二数据并通过服务器对这些第二数据进行判断, 从而能够快速确定 湿度监测指标是否为真正的异常。 若湿度监测指标确实异常, 可进一步分析挖 掘出造成该异常的湿度传感器在路桥的分布位置并作出相关预警通知。  [0065] When the trend analysis in the monitoring index is abnormal, for example, after analyzing the monitoring indicators of the road and bridge state and finding that the humidity monitoring index is abnormal under the same climatic environment in the same period, the monitoring frequency of the humidity sensor can be increased. Referring to Figure 2, when the humidity monitoring index is abnormal, the monitoring frequency of the humidity sensor can be increased, that is, the frequency at which the humidity sensor collects the first data is increased. For example, you can adjust the interval between preset turns to 1 second to 0.5 seconds or 0.1 second. After increasing the frequency at which the humidity sensor collects the first data, more second data can be further obtained and the second data is judged by the server, so that it can be quickly determined whether the humidity monitoring index is a true abnormality. If the humidity monitoring index is abnormal, it can further analyze the location of the humidity sensor that has caused the abnormality in the road bridge and make relevant warning notice.
[0066] 在本发明实施例中, 通过增大异常监测指标对应的传感器的监测频率, 获取更 多数据后再次进行趋势分析, 从而确定该异常监测指标是否真的异常, 提高了 监测指标趋势分析结果的准确度。 另外, 由于只是增大异常监测指标对应的传 感器的监测频率, 针对性强, 处理效率更高。  [0066] In the embodiment of the present invention, by increasing the monitoring frequency of the sensor corresponding to the abnormal monitoring index, obtaining more data and performing trend analysis again, thereby determining whether the abnormal monitoring index is really abnormal, and improving the trend analysis of the monitoring index. The accuracy of the results. In addition, since only the monitoring frequency of the sensor corresponding to the abnormal monitoring index is increased, the pertinence is strong and the processing efficiency is higher.
[0067] 实施例五  [0067] Embodiment 5
[0068] 在实施例一的基础上, 所述传感器的供电方式包括以下至少一种: 太阳能供电 和有线供电。  [0068] On the basis of the first embodiment, the power supply mode of the sensor includes at least one of the following: solar power supply and wired power supply.
[0069] 白天吋候传感器采用太阳能进行供电吋, 在阳光下的传感器会采集并发送第一 数据而在阴影下的传感器则进行休眠。 随着太阳的移动, 不同的传感器在当天 的不同吋段接收着阳光的照射, 其中位于阴影区的传感器会停止采集和发送第 一数据, 而其他被阳光所照射的传感器则采集并发送路桥状态对应的监测指标 。 第一数据的发送过程偶尔也可能会因过往车辆的遮挡而中断, 虽然没有任何 一个传感器能完全保证在任意吋刻都处于激活状态, 但能保证有其他足够数量 的传感器依然在采集并发送第一数据, 这种依靠传感器数量规模形成的监测模 式, 通过第一数据中满足预设条件的第二数据的信息汇聚使得对路桥状态的监 测结果变得可靠, 不会受到个别或者某个区域的传感器的工作状态 (例如休眠 或者坏了) 的影响。 当然, 晚上吋候, 传感器可以选择一般的有线进行供电, 例如和路灯共用电源。 [0069] While the daytime weather sensor is powered by solar energy, the sensor in the sun collects and transmits the first data while the sensor in the shadow sleeps. As the sun moves, different sensors receive sunlight at different times of the day, where sensors in the shadow zone stop collecting and transmitting the first data, while other sensors illuminated by the sun collect and transmit the bridge state. Corresponding monitoring indicators. Occasionally, the transmission of the first data may be interrupted by the occlusion of the passing vehicle. Although none of the sensors can be fully activated at any moment, it is guaranteed that a sufficient number of sensors are still being collected and transmitted. A data, the monitoring mode formed by the number of sensors, the information gathering of the second data satisfying the preset condition in the first data makes the monitoring result of the road bridge state reliable, and is not affected by an individual or a certain area. The working state of the sensor (such as sleep Or broken) the impact. Of course, at night, the sensor can be powered by a general cable, such as a street light.
[0070] 在本发明实施例中, 两种供电方式可以一定程度上减少对有线供电方式的依赖 , 另外采用太阳能供电吋传感器"轮班式 "的工作方式可一定程度上延长传感器的 使用寿命, 降低监测成本。  [0070] In the embodiment of the present invention, the two power supply modes can reduce the dependence on the wired power supply mode to a certain extent, and the "shift mode" working mode of the solar power supply sensor can extend the service life of the sensor to a certain extent. Monitor costs.
[0071] 本领域普通技术人员可以理解: 实现上述方法实施例的全部或部分步骤可以通 过程序指令相关的硬件来完成, 前述的程序可以存储于一计算机可读取存储介 质中, 该程序在执行吋, 执行包括上述方法实施例的步骤; 而前述的存储介质 包括: ROM、 RAM. 磁碟或者光盘等各种可以存储程序代码的介质。  [0071] Those skilled in the art can understand that all or part of the steps of implementing the above method embodiments may be completed by using hardware related to program instructions, and the foregoing program may be stored in a computer readable storage medium, and the program is executed. In addition, the steps of the foregoing method embodiments are performed; and the foregoing storage medium includes: a medium that can store program codes, such as a ROM, a RAM, a magnetic disk, or an optical disk.
[0072] 实施例六  [0072] Embodiment 6
[0073] 请参考图 6, 其示出了本发明实施例六提供的基于传感器的路桥状态监测系统 的结构框图。 基于传感器的路桥状态监测系统, 包括: 传感器 51、 获取单元 52 、 处理发送单元 53和服务器 54。 其中, 各模块的具体功能如下:  Please refer to FIG. 6, which is a structural block diagram of a sensor-based road bridge condition monitoring system according to Embodiment 6 of the present invention. The sensor-based road bridge condition monitoring system includes: a sensor 51, an obtaining unit 52, a processing transmitting unit 53, and a server 54. Among them, the specific functions of each module are as follows:
[0074] 获取单元 52, 用于获取传感器 51采集的第一数据, 传感器 51位于路桥的预设位 置, 传感器 51的数量大于监测路桥状态所需传感器 51的最小数量。  The obtaining unit 52 is configured to acquire the first data collected by the sensor 51. The sensor 51 is located at a preset position of the road bridge, and the number of the sensors 51 is greater than the minimum number of sensors 51 required to monitor the road bridge state.
[0075] 处理发送单元 53, 用于将第一数据中满足预设条件的第二数据发送给服务器 54 , 预设条件为采集吋间位于预设吋间范围或数据值超出预设范围。  [0075] The processing sending unit 53 is configured to send the second data in the first data that meets the preset condition to the server 54 by using a preset condition that the collection time is in a preset time range or the data value is out of a preset range.
[0076] 服务器 54, 用于根据第二数据分析路桥状态的监测指标的趋势, 监测指标的趋 势异常则预警通知。  [0076] The server 54 is configured to analyze the trend of the monitoring indicator of the road and bridge state according to the second data, and notify the abnormality of the trend of the monitoring indicator.
[0077] 综上所述, 本实施例提供的基于传感器的路桥状态监测系统, 通过位于路桥预 设位置的数量大于监测路桥状态所需传感器的最小数量的传感器采集第一数据 , 将第一数据中满足预设条件的第二数据发送给服务器; 根据第二数据分析路 桥状态的监测指标的趋势, 监测指标的趋势异常则预警通知, 解决了现有路桥 状态监测技术存在的监测成本高、 监测效率低的问题; 在路桥预设位置的传感 器保证了监测结果的全面性, 每一种 (包括只有一种传感器的情况) 传感器的 数量大于监测路桥状态所需传感器的最小数量, 这使得对路桥状态的监测不会 受到部分传感器的工作状态的影响, 避免了二次施工以及因二次施工造成的监 测成本和低效率, 监测成本低且监测效率高。 [0078] 实施例七 [0077] In summary, the sensor-based road bridge condition monitoring system provided by the embodiment collects the first data by using a minimum number of sensors located at a preset position of the road bridge than the sensor required to monitor the state of the road bridge, and the first data is collected. The second data that meets the preset condition is sent to the server; the trend of the monitoring index of the road and bridge state is analyzed according to the second data, and the trend of the monitoring indicator is abnormal, and the warning notice is solved, which solves the high monitoring cost and monitoring of the existing road and bridge state monitoring technology. Inefficiency; the sensor at the preset position of the bridge ensures the comprehensiveness of the monitoring results. Each type (including the case of only one type of sensor) has a larger number of sensors than the minimum number of sensors required to monitor the state of the bridge, which makes the bridge The monitoring of the state is not affected by the working state of some sensors, avoiding the secondary construction and the monitoring cost and low efficiency caused by the secondary construction, the monitoring cost is low and the monitoring efficiency is high. [0078] Example 7
[0079] 本发明实施例七提供的基于传感器的路桥状态监测系统可以采用图 6所示的结 构框图。 在本实施例中, 基于传感器的路桥状态监测系统, 包括: 传感器 51、 获取单元 52、 处理发送单元 53和服务器 54。 其中, 各模块的具体功能如下: [0079] The sensor-based road bridge condition monitoring system provided in Embodiment 7 of the present invention can adopt the structural block diagram shown in FIG. 6. In the present embodiment, the sensor-based road bridge condition monitoring system includes: a sensor 51, an acquisition unit 52, a processing transmitting unit 53, and a server 54. Among them, the specific functions of each module are as follows:
[0080] 获取单元 52, 用于获取传感器 51采集的第一数据, 传感器 51位于路桥的预设位 置, 传感器 51的数量大于监测路桥状态所需传感器 51的最小数量。 The acquiring unit 52 is configured to acquire the first data collected by the sensor 51. The sensor 51 is located at a preset position of the road bridge, and the number of the sensors 51 is greater than the minimum number of sensors 51 required to monitor the road bridge state.
[0081] 处理发送单元 53, 用于将第一数据中满足预设条件的第二数据发送给服务器 54 , 预设条件为采集吋间位于预设吋间范围或数据值超出预设范围。  [0081] The processing sending unit 53 is configured to send the second data that meets the preset condition in the first data to the server 54 by using a preset condition that the collection time is in a preset time range or the data value is out of a preset range.
[0082] 服务器 54, 用于根据第二数据分析路桥状态的监测指标的趋势, 监测指标的趋 势异常则预警通知。  [0082] The server 54 is configured to analyze the trend of the monitoring indicator of the road and bridge state according to the second data, and monitor the trend of the indicator abnormality and notify the warning.
[0083] 传感器 51包括多种, 每一种传感器 51对应监测路桥状态的各项监测指标中的一 项监测指标; 传感器 51的数量是监测路桥状态的各项监测指标所需的每一种传 感器 51的最小数量之和的多倍。  [0083] The sensor 51 includes a plurality of types, each of the sensors 51 corresponding to one of the monitoring indicators for monitoring the state of the road bridge; the number of the sensors 51 is each sensor required for monitoring various monitoring indicators of the road and bridge state. Multiple times the sum of the minimum number of 51.
[0084] 在本发明实施例中, 可以灵活地对路桥状态的各项监测指标进行监测与趋势分 析: 可以是单独分析一个监测指标的趋势、 也可以是分析各项监测指标中的几 个 (不包括全部) 监测指标的趋势、 还可以是分析所有各项监测指标的趋势。 实施例八  [0084] In the embodiment of the present invention, the monitoring and trend analysis of various monitoring indicators of the road and bridge state can be flexibly performed: it may be a trend of separately analyzing one monitoring index, or may be analysis of several of the monitoring indicators ( Not including all) Trends in monitoring indicators can also be trends in the analysis of all monitoring indicators. Example eight
[0085] 请参考图 7, 其示出了本发明实施例九提供的基于传感器的路桥状态监测系统 的结构框图。 在本实施例中, 基于传感器的路桥状态监测系统, 包括: 传感器 5 1、 获取单元 52、 处理发送单元 53和服务器 54。 其中, 各模块的具体功能如下: Please refer to FIG. 7, which is a structural block diagram of a sensor-based road bridge state monitoring system according to Embodiment 9 of the present invention. In this embodiment, the sensor-based road bridge condition monitoring system includes: a sensor 5 1 , an obtaining unit 52 , a processing transmitting unit 53 , and a server 54 . Among them, the specific functions of each module are as follows:
[0086] 获取单元 52, 用于获取传感器 51采集的第一数据, 传感器 51位于路桥的预设位 置, 传感器 51的数量大于监测路桥状态所需传感器 51的最小数量。 The acquiring unit 52 is configured to acquire the first data collected by the sensor 51. The sensor 51 is located at a preset position of the road bridge, and the number of the sensors 51 is greater than the minimum number of sensors 51 required to monitor the road bridge state.
[0087] 处理发送单元 53, 用于将第一数据中满足预设条件的第二数据发送给服务器 54 , 预设条件为采集吋间位于预设吋间范围或数据值超出预设范围。  The processing sending unit 53 is configured to send the second data that meets the preset condition in the first data to the server 54 by using a preset condition that the collection time is in a preset time range or the data value is out of a preset range.
[0088] 服务器 54, 用于根据第二数据分析路桥状态的监测指标的趋势, 监测指标的趋 势异常则预警通知。  [0088] The server 54 is configured to analyze the trend of the monitoring indicator of the road and bridge state according to the second data, and notify the abnormality of the trend of the monitoring indicator.
[0089] 优选地, 传感器 51包括多种, 每一种传感器 51对应监测路桥状态的各项监测指 标中的一项监测指标。 传感器 51的数量是监测路桥状态的各项监测指标所需的 每一种传感器 51的最小数量之和的多倍。 [0089] Preferably, the sensor 51 includes a plurality of types, and each of the sensors 51 corresponds to one of the monitoring indicators for monitoring the state of the road bridge. The number of sensors 51 is required for monitoring various monitoring indicators of the road and bridge state. Multiple times the sum of the minimum number of each type of sensor 51.
[0090] 优选地, 服务器 54包括: 聚类单元 541, 用于将第二数据中由同一种传感器 51 采集到的数据进行聚类获得聚类数据。 [0090] Preferably, the server 54 includes: a clustering unit 541, configured to cluster the data collected by the same sensor 51 in the second data to obtain clustering data.
[0091] 分析获取单元 542, 用于将聚类数据进行汇聚分析, 获取路桥状态的各项监测 指标的趋势。 [0091] The analysis obtaining unit 542 is configured to perform clustering analysis on the cluster data to obtain trends of various monitoring indicators of the road and bridge state.
[0092] 预警通知单元 543, 用于当趋势异常吋, 以消息的方式预警通知。  [0092] The warning notification unit 543 is configured to: when the trend is abnormal, notify the notification by means of a message.
[0093] 综上所述, 本实施例提供的基于传感器的路桥状态监测系统, 通过增大异常监 测指标对应的传感器的监测频率, 获取更多数据后再次进行趋势分析, 从而确 定该异常监测指标是否真的异常, 提高了监测指标趋势分析结果的准确度。 另 夕卜, 由于只是增大异常监测指标对应的传感器的监测频率, 针对性强, 处理效 率更高。 [0093] In summary, the sensor-based road and bridge condition monitoring system provided by the embodiment increases the monitoring frequency of the sensor corresponding to the abnormal monitoring index, obtains more data, and performs trend analysis again to determine the abnormal monitoring index. Whether it is really abnormal, the accuracy of the monitoring indicator trend analysis results is improved. In addition, since the monitoring frequency of the sensor corresponding to the abnormal monitoring index is increased, the pertinence is strong and the processing efficiency is higher.
[0094] 实施例九 Example 9
[0095] 本发明实施例九提供的基于传感器的路桥状态监测系统可以采用图 6所示的结 构框图。 在本实施例中, 基于传感器的路桥状态监测系统, 包括: 传感器 51、 获取单元 52、 处理发送单元 53和服务器 54。 其中, 各模块的具体功能如下: [0096] 获取单元 52, 用于获取传感器 51采集的第一数据, 传感器 51位于路桥的预设位 置, 传感器 51的数量大于监测路桥状态所需传感器 51的最小数量。  [0095] The sensor-based road bridge condition monitoring system provided in Embodiment 9 of the present invention can adopt the structural block diagram shown in FIG. 6. In the present embodiment, the sensor-based road bridge condition monitoring system includes: a sensor 51, an acquisition unit 52, a processing transmitting unit 53, and a server 54. The specific function of each module is as follows: [0096] The acquiring unit 52 is configured to acquire the first data collected by the sensor 51, and the sensor 51 is located at a preset position of the road bridge, and the number of the sensors 51 is greater than the minimum of the sensor 51 required to monitor the road bridge state. Quantity.
[0097] 处理发送单元 53, 用于将第一数据中满足预设条件的第二数据发送给服务器 54[0097] The processing sending unit 53 is configured to send, to the server, the second data that meets the preset condition in the first data.
, 预设条件为采集吋间位于预设吋间范围或数据值超出预设范围。 The preset condition is that the collection time is within the preset time range or the data value is out of the preset range.
[0098] 服务器 54, 用于根据第二数据分析路桥状态的监测指标的趋势, 监测指标的趋 势异常则预警通知。 [0098] The server 54 is configured to analyze the trend of the monitoring index of the road and bridge state according to the second data, and notify the abnormality of the trend of the monitoring indicator.
[0099] 传感器 51的供电方式包括以下至少一种: 太阳能供电和有线供电。 [0099] The power supply mode of the sensor 51 includes at least one of the following: solar power supply and wired power supply.
[0100] 在本发明实施例中, 两种供电方式可以一定程度上减少对有线供电方式的依赖[0100] In the embodiment of the present invention, the two power supply modes can reduce the dependence on the wired power supply mode to some extent.
, 另外采用太阳能供电吋传感器"轮班式 "的工作方式可一定程度上延长传感器的 使用寿命, 降低监测成本。 In addition, the use of solar-powered 吋 sensor "shift" mode of operation can extend the life of the sensor to a certain extent, reducing monitoring costs.
[0101] 实施例十 Embodiment 10
[0102] 请参考图 8, 其示出了本发明实施例十一提供的基于传感器的路桥状态监测系 统的结构框图。 在本实施例中, 基于传感器的路桥状态监测系统, 包括: 传感 器 51、 获取单元 52、 处理发送单元 53和服务器 54。 其中, 各模块的具体功能如 下: Please refer to FIG. 8, which is a structural block diagram of a sensor-based road bridge state monitoring system according to Embodiment 11 of the present invention. In this embodiment, the sensor-based road and bridge condition monitoring system includes: sensing The unit 51, the obtaining unit 52, the processing transmitting unit 53, and the server 54. Among them, the specific functions of each module are as follows:
[0103] 获取单元 52, 用于获取传感器 51采集的第一数据, 传感器 51位于路桥的预设位 置, 传感器 51的数量大于监测路桥状态所需传感器 51的最小数量。  [0103] The obtaining unit 52 is configured to acquire the first data collected by the sensor 51. The sensor 51 is located at a preset position of the road bridge, and the number of the sensors 51 is greater than the minimum number of sensors 51 required to monitor the road bridge state.
[0104] 处理发送单元 53, 用于将第一数据中满足预设条件的第二数据发送给服务器 54 , 预设条件为采集吋间位于预设吋间范围或数据值超出预设范围。  [0104] The processing sending unit 53 is configured to send the second data in the first data that meets the preset condition to the server 54 by using a preset condition that the collection time is in a preset time range or the data value is out of a preset range.
[0105] 服务器 54, 用于根据第二数据分析路桥状态的监测指标的趋势, 监测指标的趋 势异常则预警通知。  [0105] The server 54 is configured to analyze the trend of the monitoring indicator of the road and bridge state according to the second data, and monitor the trend of the indicator abnormality and notify the warning.
[0106] 优选地, 还包括: 增大单元, 用于当监测指标的趋势异常吋, 增大监测指标对 应的传感器 51的监测频率。  [0106] Preferably, the method further includes: an increasing unit, configured to increase a monitoring frequency of the sensor 51 corresponding to the monitoring indicator when the trend of the monitoring indicator is abnormal.
[0107] 优选地, 服务器 54包括: [0107] Preferably, the server 54 includes:
[0108] 聚类单元 541, 用于将第二数据中由同一种传感器 51采集到的数据进行聚类获 得聚类数据。  [0108] The clustering unit 541 is configured to cluster the data collected by the same sensor 51 in the second data to obtain cluster data.
[0109] 分析获取单元 542, 用于将聚类数据进行汇聚分析, 获取路桥状态的各项监测 指标的趋势。  [0109] The analysis obtaining unit 542 is configured to perform clustering analysis on the cluster data to obtain trends of various monitoring indicators of the road and bridge state.
[0110] 预警通知单元 543, 用于当趋势异常吋, 以消息的方式预警通知。  [0110] The warning notification unit 543 is configured to: when the trend is abnormal, notify the notification by means of a message.
[0111] 在本发明实施例中, 通过增大异常监测指标对应的传感器的监测频率, 获取更 多数据后再次进行趋势分析, 从而确定该异常监测指标是否真的异常, 提高了 监测指标趋势分析结果的准确度。 另外, 由于只是增大异常监测指标对应的传 感器的监测频率, 针对性强, 处理效率更高。 并且在本发明实施例中, 可以灵 活地对路桥状态的各项监测指标进行监测与趋势分析: 可以是单独分析一个监 测指标的趋势、 也可以是分析各项监测指标中的几个 (不包括全部) 监测指标 的趋势、 还可以是分析所有各项监测指标的趋势。 [0111] In the embodiment of the present invention, by increasing the monitoring frequency of the sensor corresponding to the abnormal monitoring index, obtaining more data and performing trend analysis again, thereby determining whether the abnormal monitoring index is abnormal, and improving the trend analysis of the monitoring index. The accuracy of the results. In addition, since only the monitoring frequency of the sensor corresponding to the abnormal monitoring index is increased, the pertinence is strong and the processing efficiency is higher. In the embodiment of the present invention, the monitoring and trend analysis of the monitoring indicators of the road and bridge state can be flexibly performed: it may be a trend of separately analyzing one monitoring index, or may be analysis of several of the monitoring indicators (excluding All) Monitoring trends in indicators can also be a trend in analyzing all monitoring indicators.
[0112] 应当理解的是, 上述本发明实施例序号仅仅为了描述, 不代表实施例的优劣。 It should be understood that the serial numbers of the embodiments of the present invention are merely for the description, and do not represent the advantages and disadvantages of the embodiments.
[0113] 所属领域的技术人员可以清楚地了解到, 为了描述的方便和简洁, 仅以上述各 功能单元、 模块的划分进行举例说明, 实际应用中, 可以根据需要而将上述功 能分配由不同的功能单元、 模块完成, 即将所述装置的内部结构划分成不同的 功能单元或模块, 以完成以上描述的全部或者部分功能。 实施例中的各功能单 元、 模块可以集成在一个处理单元中, 也可以是各个单元单独物理存在, 也可 以两个或两个以上单元集成在一个单元中, 上述集成的单元既可以采用硬件的 形式实现, 也可以采用软件功能单元的形式实现。 另外, 各功能单元、 模块的 具体名称也只是为了便于相互区分, 并不用于限制本申请的保护范围。 上述系 统中单元、 模块的具体工作过程, 可以参考前述方法实施例中的对应过程, 在 此不再赘述。 [0113] It will be clearly understood by those skilled in the art that, for convenience and brevity of description, only the division of each functional unit and module described above is exemplified. In practical applications, the above functions may be assigned differently according to needs. The functional unit and the module are completed, that is, the internal structure of the device is divided into different functional units or modules to complete all or part of the functions described above. Each function list in the embodiment The module and the module may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The integrated unit may be implemented in the form of hardware or may be used. The form realization of the software functional unit. In addition, the specific names of the functional units and modules are only for the purpose of distinguishing from each other, and are not intended to limit the scope of protection of the present application. For the specific working process of the unit and the module in the foregoing system, refer to the corresponding process in the foregoing method embodiment, and details are not described herein again.
[0114] 本领域普通技术人员可以意识到, 结合本文中所公幵的实施例描述的各示例的 单元及算法步骤, 能够以电子硬件、 或者计算机软件和电子硬件的结合来实现 。 这些功能究竟以硬件还是软件方式来执行, 取决于技术方案的特定应用和设 计约束条件。 专业技术人员可以对每个特定的应用来使用不同方法来实现所描 述的功能, 但是这种实现不应认为超出本发明的范围。  [0114] Those of ordinary skill in the art will appreciate that the elements and algorithm steps of the various examples described in connection with the embodiments disclosed herein can be implemented in electronic hardware or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the solution. A person skilled in the art can use different methods for implementing the described functions for each particular application, but such implementation should not be considered to be beyond the scope of the present invention.
[0115] 在本发明所提供的实施例中, 应该理解到, 所揭露的装置和方法, 可以通过其 它的方式实现。 例如, 以上所描述的系统实施例仅仅是示意性的, 例如, 所述 模块或单元的划分, 仅仅为一种逻辑功能划分, 实际实现吋可以有另外的划分 方式, 例如多个单元或组件可以结合或者可以集成到另一个系统, 或一些特征 可以忽略, 或不执行。 另一点, 所显示或讨论的相互之间的耦合或直接耦合或 通讯连接可以是通过一些接口, 装置或单元的间接耦合或通讯连接, 可以是电 性, 机械或其它的形式。  [0115] In the embodiments provided by the present invention, it should be understood that the disclosed apparatus and method may be implemented in other manners. For example, the system embodiment described above is merely illustrative. For example, the division of the module or unit is only a logical function division, and the actual implementation may have another division manner, for example, multiple units or components may be used. Combined or can be integrated into another system, or some features can be ignored, or not executed. Alternatively, the coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection through some interface, device or unit, and may be in electrical, mechanical or other form.
[0116] 所述作为分离部件说明的单元可以是或者也可以不是物理上分幵的, 作为单元 显示的部件可以是或者也可以不是物理单元, 即可以位于一个地方, 或者也可 以分布到多个网络单元上。 可以根据实际的需要选择其中的部分或者全部单元 来实现本实施例方案的目的。  [0116] The unit described as a separate component may or may not be physically distributed, and the component displayed as a unit may or may not be a physical unit, that is, may be located in one place, or may be distributed to multiple On the network unit. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of the embodiment.
[0117] 另外, 在本发明各个实施例中的各功能单元可以集成在一个处理单元中, 也可 以是各个单元单独物理存在, 也可以两个或两个以上单元集成在一个单元中。 上述集成的单元既可以采用硬件的形式实现, 也可以采用软件功能单元的形式 实现。  [0117] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above integrated unit can be implemented in the form of hardware or in the form of a software functional unit.
[0118] 所述集成的单元如果以软件功能单元的形式实现并作为独立的产品销售或使用 吋, 可以存储在一个计算机可读取存储介质中。 基于这样的理解, 本发明实施 例的技术方案本质上或者说对现有技术做出贡献的部分或者该技术方案的全部 或部分可以以软件产品的形式体现出来, 该计算机软件产品存储在一个存储介 质中, 包括若干指令用以使得一台计算机设备 (可以是个人计算机, 服务器, 或者网络设备等) 或处理器 (processor) 执行本发明实施例各个实施例所述方法 的全部或部分步骤。 而前述的存储介质包括: U盘、 移动硬盘、 只读存储器 (R 0M, Read-Only Memory) 、 随机存取存储器 (RAM, Random Access Memory ) 、 磁碟或者光盘等各种可以存储程序代码的介质。 [0118] The integrated unit, if implemented in the form of a software functional unit and sold or used as a standalone product, may be stored in a computer readable storage medium. Based on such understanding, the present invention is implemented The technical solution of the example or the contribution of the prior art or all or part of the technical solution may be embodied in the form of a software product stored in a storage medium, including a plurality of instructions. A computer device (which may be a personal computer, a server, or a network device, etc.) or a processor is used to perform all or part of the steps of the method described in the various embodiments of the embodiments of the present invention. The foregoing storage medium includes: a U disk, a mobile hard disk, a read-only memory (R 0M, Read-Only Memory), a random access memory (RAM), a magnetic disk or an optical disk, and the like, which can store program codes. medium.
[0119] 以上所述实施例仅用以说明本发明的技术方案, 而非对其限制; 尽管参照前述 实施例对本发明进行了详细的说明, 本领域的普通技术人员应当理解: 其依然 可以对前述各实施例所记载的技术方案进行修改, 或者对其中部分技术特征进 行等同替换; 而这些修改或者替换, 并不使相应技术方案的本质脱离本发明实 施例各实施例技术方案的精神和范围。  The above-described embodiments are only for explaining the technical solutions of the present invention, and are not intended to be limiting thereof; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art will understand that The technical solutions described in the foregoing embodiments are modified, or some of the technical features are equivalently replaced; and the modifications or substitutions do not deviate from the spirit and scope of the technical solutions of the embodiments of the present invention. .
[0120] 以上所述仅为本发明的较佳实施例而已, 并不用以限制本发明, 凡在本发明的 精神和原则之内所作的任何修改、 等同替换和改进等, 均应包含在本发明的保 护范围之内。  The above description is only the preferred embodiment of the present invention, and is not intended to limit the present invention. Any modifications, equivalents, and improvements made within the spirit and scope of the present invention should be included in the present invention. Within the scope of protection of the invention.

Claims

权利要求书 Claim
[权利要求 1] 一种基于传感器的路桥状态监测方法, 其特征在于, 包括:  [Claim 1] A sensor-based road and bridge condition monitoring method, comprising:
获取传感器采集的第一数据, 所述传感器位于路桥的预设位置, 所述 传感器的数量大于监测路桥状态所需传感器的最小数量;  Obtaining first data collected by the sensor, where the sensor is located at a preset position of the road bridge, and the number of the sensors is greater than a minimum number of sensors required to monitor the state of the road bridge;
将所述第一数据中满足预设条件的第二数据发送给服务器, 所述预设 条件为采集吋间位于预设吋间范围或数据值超出预设范围; 根据所述第二数据确定路桥状态的监测指标的趋势, 并将所述监测指 标的趋势与预设标准模型进行匹配, 若匹配失败, 则预警通知。  Transmitting, to the server, the second data that meets the preset condition in the first data, where the preset condition is that the collection time is in a preset time range or the data value is out of a preset range; determining a road bridge according to the second data The trend of the monitoring indicator of the state, and the trend of the monitoring indicator is matched with the preset standard model, and if the matching fails, the warning notification is given.
[权利要求 2] 如权利要求 1所述的基于传感器的路桥状态监测方法, 其特征在于, 所述传感器包括多种, 每一种所述传感器对应监测路桥状态的各项监 测指标中的一项监测指标; 所述传感器的数量是监测所述路桥状态的 各项监测指标所需的每一种传感器的最小数量之和的多倍。  [Claim 2] The sensor-based road bridge state monitoring method according to claim 1, wherein the sensor includes a plurality of types, and each of the sensors corresponds to one of monitoring indicators for monitoring a road bridge state. Monitoring indicator; the number of sensors is a multiple of the sum of the minimum number of sensors required to monitor various monitoring indicators of the road and bridge state.
[权利要求 3] 如权利要求 2所述的基于传感器的路桥状态监测方法, 其特征在于, 所述根据所述第二数据确定路桥状态的监测指标的趋势, 并将所述监 测指标的趋势与预设标准模型进行匹配, 若匹配失败, 则预警通知, 包括:  [Claim 3] The sensor-based road bridge state monitoring method according to claim 2, wherein the determining a trend of the monitoring index of the road and bridge state according to the second data, and trending the monitoring index The preset standard model is matched. If the match fails, the warning notification includes:
将所述第二数据中由同一种传感器采集到的数据进行聚类获得聚类数 据;  Clustering data by clustering data collected by the same sensor in the second data;
将所述聚类数据进行汇聚分析, 获取所述路桥状态的各项监测指标的 趋势;  Performing convergence analysis on the clustering data to obtain trends of various monitoring indicators of the road and bridge state;
将所述监测指标的趋势对应的曲线与预设标准模型对应的曲线进行匹 配, 若所述监测指标的趋势对应的曲线与预设标准模型对应的曲线放 在同一个坐标系中进行比对, 所述监测指标的趋势对应的曲线与预设 标准模型对应的曲线之间的偏离程度值大于预设阈值吋, 则判断所述 监测指标的趋势与预设标准模型匹配失败; 若匹配失败, 则以消息的 方式预警通知。  Matching the curve corresponding to the trend of the monitoring index with the curve corresponding to the preset standard model, if the curve corresponding to the trend of the monitoring index is compared with the curve corresponding to the preset standard model, the comparison is performed in the same coordinate system. If the deviation degree between the curve corresponding to the trend of the monitoring indicator and the curve corresponding to the preset standard model is greater than the preset threshold 吋, determining that the trend of the monitoring indicator fails to match the preset standard model; if the matching fails, Alert notifications by message.
[权利要求 4] 如权利要求 3所述的基于传感器的路桥状态监测方法, 其特征在于, 还包括: 当所述监测指标的趋势异常吋, 增大所述监测指标对应的传感器的监 测频率。 [Claim 4] The sensor-based road bridge state monitoring method according to claim 3, further comprising: When the trend of the monitoring indicator is abnormal, the monitoring frequency of the sensor corresponding to the monitoring index is increased.
[权利要求 5] 如权利要求 1至 4任一项所述的基于传感器的路桥状态监测方法, 其特 征在于, 所述传感器的供电方式包括以下至少一种:  [Claim 5] The sensor-based road bridge state monitoring method according to any one of claims 1 to 4, wherein the power supply mode of the sensor includes at least one of the following:
太阳能供电和有线供电。  Solar powered and wired power.
[权利要求 6] —种基于传感器的基于传感器的路桥状态监测系统, 其特征在于, 包 括: 传感器、 获取单元、 处理发送单元和服务器; 所述获取单元, 用于获取传感器采集的第一数据, 所述传感器位于路 桥的预设位置, 所述传感器的数量大于监测路桥状态所需传感器的最 小数量;  [Claim 6] A sensor-based sensor-based road bridge condition monitoring system, comprising: a sensor, an acquisition unit, a processing and sending unit, and a server; and the acquiring unit is configured to acquire first data collected by the sensor, The sensor is located at a preset position of the road bridge, and the number of the sensors is greater than a minimum number of sensors required to monitor the state of the road bridge;
所述处理发送单元, 用于将所述第一数据中满足预设条件的第二数据 发送给服务器, 所述预设条件为采集吋间位于预设吋间范围或数据值 超出预设范围;  The processing sending unit is configured to send, to the server, the second data that meets the preset condition in the first data, where the preset condition is that the collection time is in a preset time range or the data value is out of a preset range;
所述服务器, 用于根据所述第二数据确定路桥状态的监测指标的趋势 , 并将所述监测指标的趋势与预设标准模型进行匹配, 若匹配失败, 则预警通知。  The server is configured to determine a trend of the monitoring indicator of the road bridge state according to the second data, and match the trend of the monitoring indicator with a preset standard model, and if the matching fails, the warning notification is performed.
[权利要求 7] 如权利要求 6所述的基于传感器的路桥状态监测系统, 其特征在于, 所述传感器包括多种, 每一种所述传感器对应监测路桥状态的各项监 测指标中的一项监测指标; 所述传感器的数量是监测所述路桥状态的 各项监测指标所需的每一种传感器的最小数量之和的多倍。  [Claim 7] The sensor-based road bridge condition monitoring system according to claim 6, wherein the sensor comprises a plurality of types, each of the sensors corresponding to one of monitoring indicators for monitoring a road bridge state. Monitoring indicator; the number of sensors is a multiple of the sum of the minimum number of sensors required to monitor various monitoring indicators of the road and bridge state.
[权利要求 8] 如权利要求 7所述的基于传感器的路桥状态监测系统, 其特征在于, 所述服务器包括:  [Claim 8] The sensor-based road and bridge condition monitoring system according to claim 7, wherein the server comprises:
聚类单元, 用于将所述第二数据中由同一种传感器采集到的数据进行 聚类获得聚类数据;  a clustering unit, configured to cluster the data collected by the same sensor in the second data to obtain cluster data;
分析获取单元, 用于将所述聚类数据进行汇聚分析, 获取所述路桥状 态的各项监测指标的趋势;  An analysis obtaining unit, configured to perform aggregation analysis on the cluster data, and obtain a trend of each monitoring indicator of the road and bridge state;
预警通知单元, 用于将所述监测指标的趋势对应的曲线与预设标准模 型对应的曲线进行匹配, 若所述监测指标的趋势对应的曲线与预设标 准模型对应的曲线放在同一个坐标系中进行比对, 所述监测指标的趋 势对应的曲线与预设标准模型对应的曲线之间的偏离程度值大于预设 阈值吋, 则判断所述监测指标的趋势与预设标准模型匹配失败; 若匹 配失败, 则以消息的方式预警通知。 The warning notification unit is configured to match the curve corresponding to the trend of the monitoring indicator with the curve corresponding to the preset standard model, if the trend corresponding to the trend of the monitoring indicator and the preset target The curve corresponding to the quasi-model is compared in the same coordinate system, and the deviation degree between the curve corresponding to the trend of the monitoring index and the curve corresponding to the preset standard model is greater than a preset threshold 吋, then the monitoring is judged The trend of the indicator fails to match the preset standard model; if the match fails, the notification is notified by message.
[权利要求 9] 如权利要求 8所述的基于传感器的路桥状态监测系统, 其特征在于, 还包括:  [Claim 9] The sensor-based road and bridge condition monitoring system of claim 8, further comprising:
增大单元, 用于当所述监测指标的趋势异常吋, 增大所述监测指标对 应的传感器的监测频率。  The increasing unit is configured to increase the monitoring frequency of the sensor corresponding to the monitoring indicator when the trend of the monitoring indicator is abnormal.
[权利要求 10] 如权利要求 6至 9任一项所述的基于传感器的路桥状态监测系统, 其特 征在于, 所述传感器的供电方式包括以下至少一种: [Claim 10] The sensor-based road bridge condition monitoring system according to any one of claims 6 to 9, wherein the power supply mode of the sensor comprises at least one of the following:
太阳能供电和有线供电。  Solar powered and wired power.
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