CN117290693A - Expansion joint device real-time service performance evaluation method based on internet of things (IoT) intelligent perception - Google Patents
Expansion joint device real-time service performance evaluation method based on internet of things (IoT) intelligent perception Download PDFInfo
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Abstract
The invention relates to the technical field of road and bridge engineering, in particular to an expansion joint device real-time service performance evaluation method based on intelligent IoT perception. The invention provides a real-time service performance evaluation method of an expansion joint device, which comprises the following steps: an IoT intelligent sensing system is arranged on the expansion joint device, and response data of the expansion joint device in the service process are collected by the IoT intelligent sensing system; constructing a real-time service performance evaluation model of the expansion joint device, wherein the real-time service performance evaluation model comprises a bearing performance evaluation model, a telescopic performance evaluation model and a driving comfort evaluation model; and evaluating the current real-time service performance of the expansion joint device by utilizing the real-time service performance evaluation model and combining the response data. According to the method provided by the invention, through an internet of things (IoT) intelligent sensing technology, the performance of the expansion joint device can be monitored in real time, the real-time performance evaluation requirement of the expansion joint device is met, problems are found in time, maintenance measures are taken, and the maintainability and the safety of bridge engineering are improved.
Description
Technical Field
The invention relates to the technical field of road and bridge engineering, in particular to an expansion joint device real-time service performance evaluation method based on intelligent IoT perception.
Background
Because the bridge is affected by temperature change, the concrete beam body generates expansion and contraction deformation; in order to ensure the free expansion deformation of the concrete beam body and avoid the stress generated by the deformation resistance of the concrete beam body due to temperature change, the structure of the concrete beam body is damaged, and deformable expansion joint devices are generally arranged at two adjacent ends or between the beam and the bridge abutment back wall.
In the technical field of road and bridge engineering, an expansion joint device is a key component for ensuring the operation safety and the service performance of a bridge, and the main function of the expansion joint device is to enable a bridge upper structure to freely expand and contract under the influence of factors such as temperature change, material deformation and the like, so that the driving safety and the driving comfort are ensured. However, the existing bridge expansion joint device has the problems of easy aging and damage, large vehicle jump noise, subsequent difficult maintenance and the like, influences road passing efficiency, and easily causes traffic accidents.
The traditional expansion joint device generally adopts rubber materials as sealing materials, and due to the long-time use, the influence of natural environment and vehicle impact, the rubber materials are easy to age and harden, so that the sealing effect is reduced, the expansion joint device is damaged, and the safety of a bridge structure and the travelling comfort of drivers and passengers are further influenced. And the expansion joint device is usually checked and maintained manually at regular intervals, which is time-consuming and labor-consuming and is difficult to find problems in time. Once the expansion joint device fails, the replacement difficulty is high, and the cost is very high.
Disclosure of Invention
Aiming at the requirements of practical application, the invention provides an expansion joint device real-time service performance evaluation method based on the intelligent IoT perception, aiming at realizing the evaluation of the expansion joint device real-time service performance by using the intelligent IoT perception technology on the premise of not influencing the normal use state of the expansion joint device.
The invention provides an expansion joint device real-time service performance evaluation method based on intelligent IoT perception, which comprises the following steps: an internet of things (IoT) intelligent sensing system is arranged on the expansion joint device, response data of the expansion joint device in the service process are collected by the IoT intelligent sensing system, and the response data comprise strain data, displacement data and audio data; constructing a real-time service performance evaluation model of the expansion joint device, wherein the real-time service performance evaluation model comprises a bearing performance evaluation model, a telescopic performance evaluation model and a driving comfort evaluation model; and evaluating the current real-time service performance of the expansion joint device by utilizing the real-time service performance evaluation model and combining the response data. According to the expansion joint device real-time service performance evaluation method based on the IoT intelligent perception, the performance of the expansion joint device can be monitored in real time through the IoT intelligent perception technology, the real-time performance evaluation requirement of the expansion joint device is met, problems are found in time, maintenance measures are taken, and maintainability and safety of bridge engineering are improved.
Optionally, the expansion joint device comprises an elastic expansion assembly and an edge fixing assembly; the elastic telescopic component is formed by pouring spring steel through a high-molecular elastic polymeric material, one end of the elastic telescopic component is fixedly connected with one end of the bridge joint through the edge fixing component, and the other end of the elastic telescopic component is fixedly connected with the other end of the bridge joint through the edge fixing component. The expansion joint device provided by the selectable item is strong in maintainability and wide in application range, and can better meet implementation of the expansion joint device real-time service performance evaluation method based on the intelligent IoT perception.
Optionally, the IoT smart sensor system is disposed on a side of the elastic expansion component facing away from the driving surface along the driving direction.
Optionally, the IoT smart sensing system comprises a strain sensor, a displacement sensor, and an audio sensor; the strain sensor is used for collecting strain data of the expansion joint device in the service process; the displacement sensor is used for collecting displacement data of the expansion joint device in the service process; the audio sensor is used for collecting real-time audio data of the expansion joint device in the service process. The IoT intelligent awareness system provided by the present option can provide comprehensive information that meets the data requirements for real-time performance assessment of expansion joint devices.
Optionally, the load bearing performance evaluation model satisfies the following formula:wherein->Indicating the average strain of the expansion joint device, +.>Representing the number of active groups in the strain data, < >>Indicate->Transverse strain data in the set of strain data, +.>Show->Longitudinal strain data in the set of strain data. Bearing provided by the selectable itemThe load performance evaluation model utilizes average strain calculated by the transverse strain and the longitudinal strain of a plurality of groups of strain data to realize real-time quantitative evaluation of the load performance of the expansion joint device. The application of the load bearing performance evaluation model provided by the selectable item in actual engineering is beneficial to monitoring whether the expansion joint device works normally or not and whether maintenance or replacement is needed or not, and the safety and performance of the expansion joint device in bridge engineering are ensured to a certain extent.
Optionally, the load-bearing performance of the expansion joint device and the average strainIs inversely related to the size of (a).
Optionally, the telescopic performance evaluation model satisfies the following formula:wherein->Indicating the expansion performance of the current expansion joint device, +.>Representing the actual expansion amount of the expansion joint device from the initial moment to the current moment,/>Indicating the expansion amount of the expansion joint device from the initial moment to the current moment caused by temperature change, and +.>Indicating the expansion amount of the expansion joint device from the initial moment to the current moment due to humidity, and the expansion joint device is +.>Representing the expansion and contraction amount of the bridge from the initial moment to the current moment due to creep>Indicating the expansion and contraction of the expansion joint device from the initial moment to the current moment due to the impact effectAmount of the components. The telescopic performance evaluation model provided by the selectable item realizes real-time evaluation of the telescopic performance of the expansion joint device by comprehensively considering the telescopic quantity caused by different factors. The application of the telescopic performance evaluation model provided by the selectable item in actual engineering is beneficial to monitoring whether the expansion joint device can work normally under various conditions, so that the reliability and the safety of road and bridge engineering are ensured, and a useful tool is provided for maintaining and managing the expansion joint device to a certain extent.
Optionally, the driving comfort evaluation model satisfies the following formula:wherein->，/>Indicating +.>Short-time energy of impact audio summarized at each moment, < + >>Represents the maximum value in the short-time energy of the percussive audio, < >>Indicate->And the bridge deck load at each sampling moment is used for impact audio data of the expansion joint device. The driving comfort evaluation model provided by the selectable item determines whether the expansion joint device causes discomfort or vibration when a vehicle passes through or not by tracking the change of short-time energy of load impact audio, and further realizes the quantitative evaluation of the driving comfort of road and bridge engineering. The application of the driving comfort evaluation model provided by the selectable item in practical engineering provides a useful tool for maintaining and managing the expansion joint device.
Optionally, the real-time driving comfort of the expansion joint device and the maximum value of the short-time energy of the impact audio frequencyIs inversely related to the size of (a).
Optionally, the invention further provides an expansion joint device real-time service performance evaluation system based on the IoT intelligent perception, which is suitable for an expansion joint device real-time service performance evaluation method based on the IoT intelligent perception, and comprises an input device, a processor, a memory and an output device, wherein the input device, the processor, the memory and the output device are mutually connected, the memory is used for storing a computer program, the computer program comprises program instructions, and the processor is configured to call the program instructions to execute the expansion joint device real-time service performance evaluation method based on the IoT intelligent perception. The expansion joint device real-time service performance evaluation system based on the IoT intelligent perception, provided by the invention, combines the IoT intelligent perception technology, allows the performance of the expansion joint device to be monitored and evaluated in real time, and provides important information and decision support for maintenance and management staff.
Drawings
FIG. 1 is a flowchart of an expansion joint device real-time service performance evaluation method based on the intelligent IoT perception according to an embodiment of the present invention;
FIG. 2 is a schematic structural diagram of an expansion joint device according to an embodiment of the present invention;
fig. 3 is a schematic layout diagram of an IoT intelligent sensing system according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of an expansion joint device real-time service performance evaluation system based on IoT intelligent perception according to an embodiment of the present invention.
Detailed Description
Specific embodiments of the invention will be described in detail below, it being noted that the embodiments described herein are for illustration only and are not intended to limit the invention. In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention. However, it will be apparent to one of ordinary skill in the art that: no such specific details are necessary to practice the invention. In other instances, well-known circuits, software, or methods have not been described in detail in order not to obscure the invention.
Throughout the specification, references to "one embodiment," "an embodiment," "one example," or "an example" mean: a particular feature, structure, or characteristic described in connection with the embodiment or example is included within at least one embodiment of the invention. Thus, the appearances of the phrases "in one embodiment," "in an embodiment," "one example," or "an example" in various places throughout this specification are not necessarily all referring to the same embodiment or example. Furthermore, the particular features, structures, or characteristics may be combined in any suitable combination and/or sub-combination in one or more embodiments or examples. Moreover, those of ordinary skill in the art will appreciate that the illustrations provided herein are for illustrative purposes and that the illustrations are not necessarily drawn to scale.
In an alternative embodiment, please refer to fig. 1, fig. 1 is a flowchart of a method for evaluating real-time service performance of an expansion joint device based on IoT intelligent sensing according to an embodiment of the present invention. As shown in fig. 1, the method for evaluating real-time service performance of an expansion joint device based on IoT intelligent perception includes the following steps:
s01, an internet of things (IoT) intelligent sensing system is arranged on the expansion joint device, response data of the expansion joint device in the service process are collected by the IoT intelligent sensing system, and the response data comprise strain data, displacement data and audio data.
The expansion joint device is an important structure which is arranged between two ends adjacent to a bridge deck or between a beam and a bridge abutment back wall and is used for ensuring that a bridge building structure can freely stretch under various conditions. The specific design and specification of the expansion joint device can be different according to engineering requirements and the conditions of the region; different types of expansion joint devices can use different materials to adapt to different application requirements, such as rubber expansion joints.
In an alternative embodiment, please refer to fig. 2, fig. 2 is a schematic structural diagram of an expansion joint device according to an embodiment of the present invention, in fig. 2, 11 represents a high polymer elastic polymer material, 12 represents spring steel, and 2 represents an IoT intelligent sensing system. As shown in fig. 2, the expansion joint device comprises an elastic expansion component and an edge fixing component; the elastic telescopic component is formed by pouring spring steel through a high-molecular elastic polymeric material, one end of the elastic telescopic component is fixedly connected with one end of the bridge joint through the edge fixing component, and the other end of the elastic telescopic component is fixedly connected with the other end of the bridge joint through the edge fixing component.
The high molecular elastic polymer material is one kind of special material synthesized in chemical laboratory and has long chain structure comprising polymer molecule as main component. These polymer chains have a high degree of flexibility, similar to rubber, but higher elasticity and durability. In this embodiment, the physical and chemical properties of the polymeric elastomer may be adjusted according to specific synthesis methods and components, so as to meet the application requirements of the polymeric elastomer in the road and bridge engineering field.
Further, the elastic telescopic component comprises a plurality of spring steels, the spring steels are arranged in parallel along the running direction, and gaps of any two adjacent spring steels are staggered. The staggered proportion of the gaps of any two adjacent spring steel can be determined according to actual engineering requirements. By staggering adjacent spring steels, the stress of a single spring steel under the load of a vehicle is reduced, and the service life of the spring steel is prolonged.
The expansion joint device provided by the embodiment replaces rubber materials in the original expansion joint structure with a combined structure of high-molecular elastic polymer materials and spring steel, and realizes the invisible seamless of the bridge expansion device on the basis of not changing the original stress system of the bridge upper structure. Compared with the traditional expansion joint device adopting rubber materials as sealing materials, the safety of the bridge structure and the travelling comfort of drivers and passengers can be guaranteed under the condition of long-term service.
The IoT intelligent sensing system according to the present invention is an intelligent sensing system based on internet of things (IoT) technology, and generally includes various types of sensors, communication devices, and data processing units for respectively acquiring, transmitting, and processing response data (strain, displacement, audio) about the expansion joint device.
Further, each device in the IoT intelligent sensing system is arranged at different positions of the expansion joint device according to actual requirements of data acquisition. Typically, in order not to affect the use of the expansion joint device, the devices in the IoT intelligent sensing system are arranged at different positions on the side of the expansion joint device facing away from the bridge deck.
Based on the expansion joint device provided in the above embodiment, in an alternative embodiment, in order to better obtain each item of response data of the expansion joint device in the service process, so as to evaluate and predict the real-time service performance and the long-term service performance, please refer to fig. 3 for the sensor types and the layout positions in the IoT intelligent sensing system, fig. 3 is a layout schematic diagram of the IoT intelligent sensing system provided in the embodiment of the present invention. As shown in fig. 3, the IoT smart sensing system includes a strain sensor, a displacement sensor, and an audio sensor.
The strain sensor is used for collecting strain data of the expansion joint device in the service process; the displacement sensor is used for collecting displacement data of the expansion joint device in the service process; the audio sensor is used for collecting audio data of the expansion joint device in the service process.
In this embodiment, the device specifically includes 5 groups of strain sensors to realize strain data acquisition of the whole expansion joint device, any group of strain sensors are uniformly distributed in the transverse center of one side of the expansion joint device, which is away from the bridge deck, and the interval between two adjacent groups of strain sensors is 10cm. Further, two strain sensors are included in either set of strain sensors: one is a longitudinal strain sensor 211 arranged along the driving direction to measure the longitudinal strain of the expansion joint deviceThe method comprises the steps of carrying out a first treatment on the surface of the One is a transverse strain sensor 212 arranged along the vertical driving direction toMeasuring the transverse strain of the expansion joint device>The method comprises the steps of carrying out a first treatment on the surface of the The two strain sensors are in a T-shaped structure so as to realize real-time acquisition of transverse strain data and longitudinal strain data corresponding to the layout positions.
In this embodiment, the displacement sensor is a pull rope type displacement sensor 22, two ends of the pull rope type displacement sensor 22 are respectively anchored at two ends of the expansion joint device, specifically, any one end of the pull rope type displacement sensor 22 is arranged at the transverse center of one side of the expansion joint device, which is away from the bridge deck.
In this embodiment, two audio sensors are disposed in the IoT intelligent sensing system, and any one of the audio sensors is uniformly disposed in the lateral center of one side of the expansion joint device, which faces away from the bridge deck, specifically, one audio sensor 231 is disposed along the driving direction, and the other audio sensor 232 is disposed along the vertical driving direction.
In one or more other embodiments, the IoT smart sensing system further comprises a temperature sensor and a humidity sensor, wherein the temperature sensor is configured to collect environmental temperature data of the expansion joint device during service, and the humidity sensor is configured to collect environmental humidity data of the expansion joint device during service. Specifically, the temperature sensor and the humidity sensor in the IoT intelligent sensing system, and the integrated temperature and humidity sensor 24 are selected, so that the environment temperature data and the environment humidity data of the expansion joint device in the service process are collected simultaneously.
In other one or more alternative embodiments, the IoT intelligent sensing system further comprises a locator 25, the locator 25 for locating an installation location of the expansion joint device. Further, the locator includes the locator based on GNSS big dipper chip, the locator based on GNSS big dipper chip utilizes satellite positioning technique to provide accurate position data's positioner for fortune dimension personnel, makes fortune dimension personnel can know the exact geographic position of expansion joint device. Accurate location information can help emergency service personnel arrive at the scene faster if a problem or emergency occurs.
S02, constructing a real-time service performance evaluation model of the expansion joint device, wherein the real-time service performance evaluation model comprises a bearing performance evaluation model, a telescopic performance evaluation model and a driving comfort evaluation model.
The real-time service performance of the invention refers to performance under different conditions and environments in the normal operation and use process of an expansion joint device, and specifically comprises the following steps: load bearing performance, telescoping performance, and ride comfort. The bearing performance refers to deformation and stress distribution of the expansion joint device under the condition of load, and the expansion joint device is used for ensuring that the bridge structure can safely bear the loads of vehicles and traffic. The expansion performance refers to the expansion capability of the expansion joint device under environmental conditions such as temperature change, humidity change and the like, and is used for guaranteeing free expansion of the expansion joint device under different climatic conditions and avoiding damage caused by environmental change. The driving comfort level specifically refers to comfort level experience brought by the expansion joint device to driving personnel, and specifically shows the aspects of abnormal noise, impact vibration and the like generated when driving passes through the expansion joint device.
In an optional embodiment, the real-time service performance evaluation model of the expansion joint device constructed in step S02 specifically includes a load bearing performance evaluation model, where the load bearing performance evaluation model is used to evaluate the load bearing capacity of the expansion joint device. It will be appreciated that the load bearing performance is evaluated to ensure that the expansion joint device is able to effectively transfer load when subjected to a load (e.g., a vehicle, a pedestrian, etc.) to prevent damage to the expansion joint device or related structure. Further, the evaluation of the bearing performance helps to ensure the structural safety and maintainability of the expansion joint device.
In this embodiment, the load bearing performance evaluation model satisfies the following formula:wherein->Indicating the average strain of the expansion joint device, +.>Representing the number of active groups in the strain data, < >>Indicate->Transverse strain data in the set of strain data, +.>Show->Longitudinal strain data in the set of strain data.
In an optional embodiment, the real-time service performance evaluation model of the expansion joint device constructed in step S02 specifically further includes a expansion performance evaluation model, where the expansion performance evaluation model is used to evaluate expansion performance of the expansion joint device. The expansion performance is evaluated to ensure that the expansion joint device can freely expand and contract under the influence of factors such as temperature change, so that structural damage caused by excessive expansion or insufficient expansion is avoided. Further, the assessment of the telescoping performance helps to maintain the functional integrity and durability of the expansion joint device.
In this embodiment, the telescopic performance evaluation model satisfies the following formula:wherein->Indicating the expansion performance of the current expansion joint device, +.>Representing the actual expansion amount of the expansion joint device from the initial moment to the current moment,/>Indicating that the expansion joint device is from the initial time to the current time due to the temperatureThe amount of expansion caused by the change->Indicating the expansion amount of the expansion joint device from the initial moment to the current moment due to humidity, and the expansion joint device is +.>Representing the expansion and contraction amount of the bridge from the initial moment to the current moment due to creep>The expansion and contraction amount of the expansion and contraction joint device from the initial moment to the current moment caused by the impact effect is represented.
In yet another alternative embodiment, the parameters in the telescopic performance assessment model satisfy the following formula:wherein->Indicating the length of the expansion joint device at the initial moment, < + >>Representing the length of the expansion joint device at the current moment; />Wherein->Representing expansion coefficient of expansion joint device, +.>Representing the initial length of the bridge beam,ambient temperature, indicative of the initial moment,/->Representing the ambient temperature at the current time; />Wherein->Representing expansion coefficient of expansion joint device, +.>Representing the initial length of the bridge,/->Ambient humidity indicative of the initial moment,/->The ambient humidity at the current moment is represented; />Wherein->Representing the average axial stress caused by the prestress of the prestressed concrete in the bridge, < + >>Representing the creep coefficient of the bridge, < >>Representing the initial length of the bridge,/->Representing the shrinkage decreasing coefficient of the bridge,/->Representing the elastic modulus of concrete in the bridge; />Wherein->Indicating the length of the expansion joint device at the initial moment. Further, in this embodiment, the expansion performance evaluation model specifically satisfies the following formula:。
in an optional embodiment, the real-time service performance evaluation model of the expansion joint device constructed in step S02 specifically further includes a driving comfort evaluation model, where the driving comfort evaluation model is used to evaluate an influence of the expansion joint device on driving comfort, and in particular, impact audio short-time energy related to the impact audio data. The evaluation of the driving comfort is to ensure that the expansion joint device does not unnecessarily affect the driving comfort of the vehicle and the passengers. Further, the assessment of the driving comfort helps to provide a more comfortable driving experience.
In the present embodiment, the running comfort evaluation model satisfies the following formula:wherein->，/>Indicating +.>Short-time energy of impact audio summarized at each moment, < + >>Represents the maximum value in the short-time energy of the percussive audio, < >>Indicate->And the bridge deck load at each sampling moment is used for impact audio data of the expansion joint device. In particular, the method comprises the steps of,the larger the vehicle load passes through the expansion joint device, the higher the impact strength is, and the running comfort is poor;on the contrary, if->Smaller, lower impact strength and better driving comfort.
S03, utilizing the real-time service performance evaluation model to combine the response data, and evaluating the current real-time service performance of the expansion joint device.
It is easy to understand that, step S03 may implement the evaluation of the current performance state of the expansion joint device by combining the corresponding real-time response data and the environmental change data through each real-time service performance evaluation model. Further, in one or some embodiments, historical response data is also incorporated to enable evaluation of the current performance status of the expansion joint device.
In an alternative embodiment, in order to evaluate the current load-bearing performance of the expansion joint device, the real-time response data acquired in step S03 includes strain data acquired by each strain sensor at the current moment. In this embodiment, the strain sensors include a plurality of groups, and any group of strain sensors includes a longitudinal strain sensor arranged along the driving direction to measure the longitudinal strain of the expansion joint deviceThe method comprises the steps of carrying out a first treatment on the surface of the One is a transverse strain sensor arranged along the vertical driving direction so as to measure the transverse strain of the expansion joint device>。
In this embodiment, the load-bearing performance evaluation model is combined with corresponding real-time response data to obtain the average strain of the expansion joint device. Specifically, the real-time bearing performance of the expansion joint device is inversely related to the average strain, namely the current average strain +.>The smaller the value, the bearing performance of the expansion joint deviceThe better.
In an alternative embodiment, to implement the evaluation of the current expansion capability of the expansion joint device, the real-time response data acquired in step S03 includes the expansion amount of the expansion joint device caused by various factors during the service process. Specifically, in this embodiment, the expansion amount includes an actual expansion amount of the expansion joint device, which may be represented by a difference in length measured by the pull-rope type displacement sensor at an initial time and a current time; the expansion and contraction amount also comprises expansion and contraction amount caused by the change of the ambient temperature and humidity, and the expansion and contraction amount can be obtained by combining the property of the material of the expansion joint device with the change data of the temperature and/or the humidity; the expansion and contraction amount also comprises the expansion and contraction amount of the bridge, and the expansion and contraction amount can be obtained through the creep property of the bridge.
In this embodiment, the expansion performance evaluation model is combined with corresponding response data to obtain the expansion performance of the current expansion joint device. Specifically, & gt, obtained by calculation of the real-time scalability evaluation model provided by the present embodiment>，The closer to 1, the better the expansion performance of the current expansion joint device is.
In an alternative embodiment, to achieve the effect on the driving comfort of the expansion joint device, the real-time response data acquired in step S03 includes audio data of the impact sound of the vehicle load passing through the expansion joint device, which may be obtained by an audio sensor. Specifically, in the present embodiment, the acquired audio data satisfies the following characterization model:wherein->Bridge deck load impact audio data indicative of the initial moment, < + >>And the bridge deck load impact audio data at the current moment is represented. Further, the sampling length of the impact audio data is determined in particular according to the requirements of the constructed driving comfort assessment model.
In this embodiment, the driving comfort evaluation model may obtain the maximum value of the short-time energy of the impact audio from the initial time to the current time by combining the corresponding response data. Specifically, the->The larger the vehicle load passes through the expansion joint device, the higher the impact strength is, and the running comfort is poor; on the contrary, if->Smaller, lower impact strength and better driving comfort.
In an alternative embodiment, in order to better implement the above-mentioned expansion joint device real-time service performance evaluation method based on IoT intelligent sensing, an expansion joint device real-time service performance evaluation system based on IoT intelligent sensing is further provided, please refer to fig. 4, fig. 4 is a schematic diagram of an expansion joint device real-time service performance evaluation system based on IoT intelligent sensing according to an embodiment of the present invention.
As shown in fig. 4, the IoT intelligent perception based expansion joint device real-time service performance evaluation system includes an input device, a processor, a memory, and an output device, where the input device, the processor, the memory, and the output device are connected to each other, and the memory is configured to store a computer program, where the computer program includes program instructions, and the processor is configured to invoke the program instructions to execute the IoT intelligent perception based expansion joint device real-time service performance evaluation method described above.
The input equipment is used for receiving various data and information from the expansion joint device. Such data may include real-time response data (e.g., strain, temperature, humidity, sound, etc.), environmental data (e.g., weather information, traffic flow, etc.), and other relevant sensor data.
The processor is the central computing unit of the system and is responsible for executing program instructions in a computer program to process, analyze and evaluate input data. The processor uses algorithms and models to evaluate the real-time performance of the expansion joint device and generate corresponding outputs. In particular, the processor may be a high performance computer, an embedded system, or a cloud server, depending on the size and requirements of the system.
The memory is used for storing a computer program, input data, processing intermediate results and generated output data. This includes program instructions, model parameters, historical performance data, and evaluation results. In particular, the memory may include a hard disk drive, a solid state drive, cloud storage, or a database system to meet the requirements of data storage and access.
The output device is used to present the evaluation results of the system, typically in the form of highly readable, e.g. text reports, graphics, charts, alarms or notifications. In this way, the associated maintenance personnel or operators can take the necessary actions in time. In particular, the output device may be a computer screen, a printer, an alarm system, a mobile application or a Web interface.
The expansion joint device real-time service performance evaluation system based on the IoT intelligent perception, provided by the invention, combines the IoT intelligent perception technology, allows the performance of the expansion joint device to be monitored and evaluated in real time, and provides important information and decision support for maintenance and management staff.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present invention, and not for limiting the same; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some or all of the technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit of the invention, and are intended to be included within the scope of the appended claims and description.
Claims (10)
1. An expansion joint device real-time service performance evaluation method based on intelligent IoT perception is characterized by comprising the following steps:
an internet of things (IoT) intelligent sensing system is arranged on the expansion joint device, response data of the expansion joint device in the service process are collected by the IoT intelligent sensing system, and the response data comprise strain data, displacement data and audio data;
constructing a real-time service performance evaluation model of the expansion joint device, wherein the real-time service performance evaluation model comprises a bearing performance evaluation model, a telescopic performance evaluation model and a driving comfort evaluation model;
and evaluating the current real-time service performance of the expansion joint device by utilizing the real-time service performance evaluation model and combining the response data.
2. The IoT intelligent awareness based real-time service performance evaluation method of an expansion joint device according to claim 1, wherein the expansion joint device comprises an elastic expansion component and an edge fixing component;
the elastic telescopic component is formed by pouring spring steel through a high-molecular elastic polymeric material, one end of the elastic telescopic component is fixedly connected with one end of the bridge joint through the edge fixing component, and the other end of the elastic telescopic component is fixedly connected with the other end of the bridge joint through the edge fixing component.
3. The IoT intelligent sensing based expansion joint device real-time service performance assessment method according to claim 2, wherein the IoT intelligent sensing system is arranged on the side of the elastic expansion component away from the driving surface along the driving direction.
4. The IoT intelligent aware based expansion joint device real-time service performance assessment method according to claim 3, wherein the IoT intelligent awareness system comprises a strain sensor, a displacement sensor, and an audio sensor;
the strain sensor is used for collecting strain data of the expansion joint device in the service process; the displacement sensor is used for collecting displacement data of the expansion joint device in the service process; the audio sensor is used for collecting real-time audio data of the expansion joint device in the service process.
5. The IoT intelligent perception based expansion joint device real-time service performance evaluation method according to claim 1, wherein the load bearing performance evaluation model satisfies the following formula:wherein->Indicating the average strain of the expansion joint device, +.>Representing the number of active groups in the strain data, < >>Indicate->Transverse strain data in the set of strain data, +.>Show->Longitudinal strain data in the set of strain data.
6. The IoT intelligent perception-based expansion joint device real-time service performance assessment method according to claim 5, which is specialCharacterized in that the bearing performance of the expansion joint device and the average strainIs inversely related to the size of (a).
7. The IoT intelligent-aware-based expansion joint device real-time service performance assessment method according to claim 1, wherein the expansion performance assessment model satisfies the following formula:wherein->Indicating the expansion performance of the current expansion joint device, +.>Represents the actual expansion and contraction amount of the expansion joint device from the initial moment to the current moment,indicating the expansion amount of the expansion joint device from the initial moment to the current moment caused by temperature change, and +.>Indicating the expansion amount of the expansion joint device from the initial moment to the current moment due to humidity, and the expansion joint device is +.>Representing the expansion and contraction amount of the bridge from the initial moment to the current moment due to creep>The expansion and contraction amount of the expansion and contraction joint device from the initial moment to the current moment caused by the impact effect is represented.
8. The IoT intelligent awareness based real-time service performance of expansion joint devices of claim 1The evaluation method is characterized in that the driving comfort evaluation model satisfies the following formula:wherein->，/>Indicating +.>Short-time energy of impact audio summarized at each moment, < + >>Represents the maximum value in the short-time energy of the percussive audio, < >>Indicate->And the bridge deck load at each sampling moment is used for impact audio data of the expansion joint device.
9. The IoT intelligent awareness based expansion joint device real-time service performance assessment method according to claim 8, wherein the maximum value of real-time driving comfort of the expansion joint device and the short-time energy of the impact audio is the maximum value of the short-time energy of the impact audioIs inversely related to the size of (a).
10. The IoT intelligent aware based expansion joint device real-time service performance assessment method according to any of claims 1-9, wherein the IoT intelligent aware based expansion joint device real-time service performance assessment method is adapted to an IoT intelligent aware based expansion joint device real-time service performance assessment system comprising an input device, a processor, a memory, and an output device, the input device, the processor, the memory, and the output device being interconnected, wherein the memory is configured to store a computer program comprising program instructions configured to invoke the program instructions to perform the IoT intelligent aware based expansion joint device real-time service performance assessment method according to any of claims 1-9.
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Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104850678A (en) * | 2015-03-18 | 2015-08-19 | 黄跃平 | Vehicle travelling performance-based method for evaluating travelling service performance of highway bridge expansion device |
| CN106289738A (en) * | 2016-07-27 | 2017-01-04 | 东南大学 | A kind of Expansion Units for Highway Bridges antitorque military service Reliable Evaluating Methods of Their Performance |
| KR20180027814A (en) * | 2016-09-07 | 2018-03-15 | 한국씨엠이엔지(주) | Apparatus for Measuring Expansion and Contraction for Bridge |
| CN111256924A (en) * | 2020-03-06 | 2020-06-09 | 东南大学 | Intelligent monitoring method for expansion joint of large-span high-speed railway bridge |
| KR20200137676A (en) * | 2019-05-31 | 2020-12-09 | 주식회사 디오티 | Safety evaluation system of bridges based on Wireless communication |
| CN112989456A (en) * | 2021-02-10 | 2021-06-18 | 中铁大桥局集团有限公司 | Bridge performance degradation diagnosis method and system |
| CN114993434A (en) * | 2022-05-20 | 2022-09-02 | 湖南科技大学 | Vehicle weight identification system and method based on EMD energy entropy of acoustic signal |
| CN115420410A (en) * | 2022-11-03 | 2022-12-02 | 保利长大工程有限公司 | Bridge stress detection system |
-
2023
- 2023-11-24 CN CN202311577579.3A patent/CN117290693B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104850678A (en) * | 2015-03-18 | 2015-08-19 | 黄跃平 | Vehicle travelling performance-based method for evaluating travelling service performance of highway bridge expansion device |
| CN106289738A (en) * | 2016-07-27 | 2017-01-04 | 东南大学 | A kind of Expansion Units for Highway Bridges antitorque military service Reliable Evaluating Methods of Their Performance |
| KR20180027814A (en) * | 2016-09-07 | 2018-03-15 | 한국씨엠이엔지(주) | Apparatus for Measuring Expansion and Contraction for Bridge |
| KR20200137676A (en) * | 2019-05-31 | 2020-12-09 | 주식회사 디오티 | Safety evaluation system of bridges based on Wireless communication |
| CN111256924A (en) * | 2020-03-06 | 2020-06-09 | 东南大学 | Intelligent monitoring method for expansion joint of large-span high-speed railway bridge |
| CN112989456A (en) * | 2021-02-10 | 2021-06-18 | 中铁大桥局集团有限公司 | Bridge performance degradation diagnosis method and system |
| CN114993434A (en) * | 2022-05-20 | 2022-09-02 | 湖南科技大学 | Vehicle weight identification system and method based on EMD energy entropy of acoustic signal |
| CN115420410A (en) * | 2022-11-03 | 2022-12-02 | 保利长大工程有限公司 | Bridge stress detection system |
Non-Patent Citations (2)
| Title |
|---|
| 杨京帅 等: "基于物联网技术的桥梁安全监测与评估关键问题研究", 《公路》, pages 1 - 4 * |
| 董擘 等: "桥梁设计中伸缩装置的计算与选择", 《黑龙江科技信息》, pages 1 - 4 * |
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