Bridge health monitoring method and device, electronic equipment and storage medium

Abstract

The invention relates to a bridge health monitoring method and device, electronic equipment and a storage medium. The bridge health monitoring method comprises the following steps: receiving bridge feature data sent by an edge industrial personal computer in a 433 wireless communication mode; wherein the bridge feature data is obtained by preprocessing original measurement data, collected by a plurality of data collection devices, of a bridge through the edge industrial personal computer; and analyzing the bridge feature data to obtain a bridge health monitoring result. According to the invention, the edge industrial personal computer can be utilized to obtain the original measurement data of the bridge acquired by the plurality of data acquisition devices, so that the complexity and cost of wiring construction are reduced; meanwhile, the edge industrial personal computer is utilized to preprocess the original measurement data and upload the obtained bridge feature data to the background server, so that the data transmission flow can be reduced, and the bridge health monitoring efficiency and real-time performance are improved.

Description

Technical Field

[0001] The present disclosure relates to the technical field of bridge health monitoring, and in particular to a bridge health monitoring method, device, electronic device and storage medium. Background Art

[0002] During the service life of a bridge, due to the influence of factors such as internal structural changes and external environmental erosion, health problems such as structural aging and damage may occur, which may lead to unsafe accidents. Therefore, real-time monitoring of bridge health is very necessary.

[0003] In the relevant technologies, small and medium-sized bridges are mainly maintained and managed by daily inspections and regular inspections. Both methods are manual monitoring methods, which are limited by the professional knowledge level and detection technology of the inspectors. In addition, some structural defects of the bridge are not easy to find, such as the damage to the seams between prefabricated beams. In addition, the regular inspection cycle of bridges is generally 2 to 3 years, the acquisition of bridge information is delayed, the monitoring situation is difficult to quantify, and the development of the disease cannot be tracked in real time. With the emergence of these problems, bridge structure health monitoring technology has received more and more attention from bridge managers. Summary of the invention

[0004] In view of this, exemplary embodiments of the present disclosure provide a bridge health monitoring method, device, electronic device, and storage medium to solve the problems existing in the related art.

[0005] According to a first aspect of an exemplary embodiment of the present disclosure, a bridge health monitoring method is provided, which is applied to a background server and includes:

[0006] Receiving bridge characteristic data sent by the edge industrial computer through 433 wireless communication; wherein the bridge characteristic data is obtained by preprocessing the original measurement data of the bridge collected by multiple data acquisition devices by the edge industrial computer;

[0007] The bridge characteristic data is analyzed to obtain bridge health monitoring results.

[0008] According to a second aspect of the exemplary embodiment of the present disclosure, a bridge health monitoring device is provided, which is applied to a background server and includes:

[0009] A communication module, used to receive bridge characteristic data sent by an edge industrial computer through 433 wireless communication; wherein the bridge characteristic data is obtained by preprocessing the original measurement data of the bridge collected by multiple data acquisition devices by the edge industrial computer;

[0010] The processing module is used to analyze the bridge characteristic data to obtain bridge health monitoring results.

[0011] According to a third aspect of the exemplary embodiments of the present disclosure, there is provided an electronic device, including:

[0012] at least one processor;

[0013] a memory for storing at least one processor executable instruction;

[0014] Among them, at least one processor is used to execute instructions to implement the steps of the above method.

[0015] According to a fourth aspect of the exemplary embodiments of the present disclosure, a computer-readable storage medium is provided. When instructions in the computer-readable storage medium are executed by a processor of an electronic device, the electronic device is enabled to perform the steps of the above method.

[0016] At least one of the above-mentioned technical solutions adopted in the exemplary embodiment of the present disclosure can achieve the following beneficial effects: receiving bridge characteristic data sent by the edge industrial computer through 433 wireless communication; wherein the bridge characteristic data is obtained by preprocessing the original measurement data of the bridge collected by multiple data acquisition devices by the edge industrial computer; analyzing the bridge characteristic data to obtain the bridge health monitoring result, and being able to use the edge industrial computer to obtain the original measurement data of the bridge collected by multiple data acquisition devices, thereby reducing the complexity and cost of wiring construction; at the same time, using the edge industrial computer to preprocess the original measurement data and uploading the obtained bridge characteristic data to the background server can reduce data transmission traffic and improve the efficiency and real-time performance of bridge health monitoring. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions in the exemplary embodiments of the present disclosure, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present disclosure. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0018] Figure 1 A schematic flow chart of a bridge health monitoring method provided by an exemplary embodiment of the present disclosure is shown;

[0019] Figure 2 A layout design diagram of a bridge health monitoring system provided by an exemplary embodiment of the present disclosure is shown;

[0020] Figure 3 A schematic structural diagram of a bridge health monitoring device provided by an exemplary embodiment of the present disclosure is shown;

[0021] Figure 4 A schematic diagram of the structure of an electronic device provided by an exemplary embodiment of the present disclosure is shown;

[0022] Figure 5 A schematic diagram of the structure of a computer system provided by an exemplary embodiment of the present disclosure is shown. DETAILED DESCRIPTION

[0023] Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although certain embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be construed as being limited to the embodiments described herein, which are instead provided for a more thorough and complete understanding of the present disclosure. It should be understood that the drawings and embodiments of the present disclosure are only for exemplary purposes and are not intended to limit the scope of protection of the present disclosure.

[0024] It should be understood that the various steps described in the method embodiments of the present disclosure may be performed in different orders and / or in parallel. In addition, the method embodiments may include additional steps and / or omit the steps shown. The scope of the present disclosure is not limited in this respect.

[0025] The term "including" and its variations used in this document are open inclusions, that is, "including but not limited to". The term "based on" means "based at least in part on". The term "one embodiment" means "at least one embodiment"; the term "another embodiment" means "at least one other embodiment"; the term "some embodiments" means "at least some embodiments". Relevant definitions of other terms will be given in the description below. It should be noted that the concepts of "first", "second", etc. mentioned in this disclosure are only used to distinguish different devices, modules or units, and are not used to limit the order or interdependence of the functions performed by these devices, modules or units.

[0026] It should be noted that the modifications of "one" and "plurality" mentioned in the present disclosure are illustrative rather than restrictive, and those skilled in the art should understand that unless otherwise clearly indicated in the context, it should be understood as "one or more".

[0027] The names of the messages or information exchanged between multiple devices in the embodiments of the present disclosure are only used for illustrative purposes and are not used to limit the scope of these messages or information.

[0028] An exemplary embodiment of the present disclosure provides a bridge health monitoring method, which can use an edge industrial computer to obtain the original measurement data of the bridge collected by multiple data acquisition devices, reducing the complexity and cost of wiring construction; at the same time, the edge industrial computer is used to pre-process the original measurement data, and the obtained bridge characteristic data is uploaded to the background server, which can reduce data transmission traffic and improve the efficiency and real-time performance of bridge health monitoring.

[0029] The bridge health monitoring method provided by the exemplary embodiment of the present disclosure is applied to a background server, and can be executed by the background server or by a chip applied to the background server.

[0030] Exemplarily, the above-mentioned background server can be an independent physical server, or a server cluster or distributed system composed of multiple physical servers, or a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, content delivery networks (Content Delivery Network, CDN), as well as big data and artificial intelligence platforms, but the exemplary embodiments of the present disclosure are not limited to this.

[0031] Figure 1 FIG. 2 shows a flow chart of a bridge health monitoring method provided by an exemplary embodiment of the present disclosure. Figure 1 As shown, the bridge health monitoring method includes:

[0032] S101, receiving bridge characteristic data sent by an edge industrial computer through 433 wireless communication; wherein the bridge characteristic data is obtained by preprocessing original measurement data of the bridge collected by multiple data acquisition devices by the edge industrial computer;

[0033] S102, analyzing the bridge characteristic data to obtain bridge health monitoring results.

[0034] Specifically, the above-mentioned 433 wireless communication has the following advantages: compared with other wireless transmission technologies, such as Bluetooth, Wi-Fi, etc., it has the characteristics of low cost, and it can be widely used in some low-cost products; low power consumption, which can meet the scenarios with high requirements for battery life, such as remote controls, sensors, etc.; long transmission distance, under ideal conditions, it can achieve a wireless transmission distance of about 100 meters, which is suitable for some scenarios that require longer wireless transmission; easy to implement, the design and implementation of the 433 chip it uses is relatively simple, and it is suitable for some simple wireless transmission scenarios.

[0035] Figure 2 FIG. 2 shows a layout design diagram of a bridge health monitoring system provided by an exemplary embodiment of the present disclosure. Figure 2As shown, the bridge health monitoring system provided by the exemplary embodiment of the present disclosure may include multiple data acquisition devices, data acquisition instruments, edge industrial computers and background servers. First, multiple data acquisition devices are directly deployed at the key detection points of the bridge (the determination of the key detection points is a conventional technology in the field and will not be repeated here), which are used to collect the original measurement data of the bridge during its service; then, the original measurement data is sent to the edge industrial computer through the data acquisition instrument. At this time, the edge industrial computer can pre-process the original measurement data to obtain bridge characteristic data. Then, the edge industrial computer sends the bridge characteristic data to the background server through 433 wireless communication; at the same time, the background server receives the bridge characteristic data sent by the edge industrial computer. Finally, the background server analyzes the bridge characteristic data to obtain the bridge health monitoring results.

[0036] It can be seen that the exemplary embodiment of the present disclosure can use the edge industrial computer to obtain the original measurement data of the bridge collected by multiple data acquisition devices, reducing the complexity and cost of wiring construction; at the same time, the edge industrial computer is used to pre-process the original measurement data and upload the obtained bridge characteristic data to the background server, which can reduce data transmission traffic and improve the efficiency and real-time performance of bridge health monitoring.

[0037] According to the technical solution of the exemplary embodiment of the present disclosure, bridge characteristic data sent by the edge industrial computer is received by means of 433 wireless communication; wherein the bridge characteristic data is obtained by preprocessing the original measurement data of the bridge collected by multiple data acquisition devices by the edge industrial computer; the bridge characteristic data is analyzed to obtain the bridge health monitoring result, and the edge industrial computer can be used to obtain the original measurement data of the bridge collected by multiple data acquisition devices, thereby reducing the complexity and cost of wiring construction; at the same time, the edge industrial computer is used to preprocess the original measurement data, and the obtained bridge characteristic data is uploaded to the background server, which can reduce data transmission traffic and improve the efficiency and real-time performance of bridge health monitoring.

[0038] In some embodiments, the edge industrial computer obtains the original measurement data of the bridge collected by multiple data acquisition devices in a wired manner through a data acquisition instrument, and each data acquisition device is connected to the edge industrial computer through a wired connection through the data acquisition instrument.

[0039] Specifically, the exemplary embodiments of the present disclosure can respectively connect each data acquisition device to the edge industrial computer through a data acquisition instrument by wire.

[0040] After the original measurement data of the bridge is collected by multiple data acquisition devices, these original measurement data are concentrated in the data acquisition instrument in a wired manner; then, these original measurement data are transmitted from the data acquisition instrument to the edge industrial computer in a wireless manner, and the edge industrial computer pre-processes these original data, thereby reducing the complexity and cost of wiring construction.

[0041] In some embodiments, the plurality of data acquisition devices include but are not limited to one or more of a vibrating string sensor, a triaxial accelerometer, a displacement meter, a static level, a wind direction and speed sensor, and a thermometer and hygrometer.

[0042] Specifically, Figure 2 As shown, the multiple data acquisition devices may include but are not limited to one or more of a vibrating string sensor, a three-axis accelerometer, a displacement meter, a static level, a wind direction and speed sensor, and a thermometer and humidity meter.

[0043] Among them, the vibrating string sensor can be embedded in the bridge during the construction phase to collect the vibration frequency of the bridge.

[0044] The triaxial acceleration sensor can be installed laterally at the head of the bridge pier to collect the triaxial acceleration of the bridge.

[0045] Displacement meters can be installed at the gaps at both ends of the bridge to collect the displacement of the bridge.

[0046] Static levels can be installed along the side of the bridge to collect the pressure of the bridge.

[0047] Wind direction and speed sensors can be installed on the side pole in the middle of the bridge at a height of about 1 meter to collect the wind direction and wind speed of the bridge.

[0048] Thermohygrometers can be installed on bridge piers to collect the temperature and humidity of the bridge.

[0049] The above data acquisition equipment can be fixed by bolt anchoring.

[0050] In addition, the exemplary embodiment of the present disclosure can also install an edge industrial computer in the middle of the bridge body, and the edge industrial computer is installed with a 433 receiver for receiving sensor data uploaded by the collector. The edge industrial computer is connected to a 4G router, and the edge industrial computer first performs local processing on the original measurement data, extracts useful information (bridge characteristic data) from it, and then transmits this useful information to the background server through the General Packet Radio Service (GPRS).

[0051] In practical applications, Figure 2After the bridge health monitoring system shown is installed, the exemplary embodiment of the present disclosure can debug the bridge health monitoring system. The data acquisition device is connected to the handheld data acquisition terminal. If the handheld data acquisition terminal can obtain the original measurement data and the original measurement data is within the valid range, it means that the data acquisition device is running normally and the data acquisition device is debugged.

[0052] It should be noted that, when collecting raw measurement data, the exemplary embodiment of the present disclosure balances system requirements and traffic issues, optimizes the data collection scheme, and uses an interval collection method for data collection with a collection interval of 1 minute.

[0053] Exemplarily, the bridge characteristic data may include but is not limited to one or more of stress characteristic data, vibration characteristic data, deformation characteristic data and environmental characteristic data; wherein,

[0054] The stress characteristic data is obtained by preprocessing the vibration frequency of the bridge collected by the vibrating wire sensor by the edge industrial computer;

[0055] The vibration characteristic data is obtained by preprocessing the three-axis acceleration of the bridge collected by the three-axis acceleration sensor by the edge industrial computer;

[0056] The deformation characteristic data is obtained by preprocessing the bridge displacement collected by the displacement meter and the bridge pressure collected by the static level by the edge industrial computer;

[0057] The environmental characteristic data is determined by the edge industrial computer based on the wind direction and wind speed of the bridge collected by the wind direction and wind speed sensor and the temperature and humidity of the bridge collected by the thermometer and hygrometer.

[0058] It can be seen that the exemplary embodiment of the present disclosure can use an edge industrial computer to pre-process the original measurement data of the bridge collected by multiple data acquisition devices to obtain the above-mentioned bridge characteristic data, thereby effectively reducing the data transmission traffic.

[0059] In some embodiments, analyzing the bridge characteristic data to obtain the bridge health monitoring result may include:

[0060] Perform real-time online simulation on bridge characteristic data to obtain simulation results;

[0061] The simulation results are compared with the preset simulation results to obtain the bridge health monitoring results.

[0062] Specifically, after receiving the bridge characteristic data sent by the edge industrial control terminal, the background server can perform real-time online simulation on the bridge characteristic data to obtain simulation results.

[0063] The exemplary embodiment of the present disclosure may predetermine a preset simulation result, which may be determined according to an actual application scenario, and the exemplary embodiment of the present disclosure does not specifically limit this. In the method of the exemplary embodiment of the present disclosure, the preset simulation result may include a normal value range of each bridge characteristic data.

[0064] After obtaining the simulation results, the simulation results are compared with the preset simulation results to obtain the bridge health monitoring results. Here, the bridge health monitoring results can be used to characterize the health status of the bridge at the current moment so that relevant technicians can maintain the bridge.

[0065] It can be seen that the exemplary embodiments of the present disclosure can utilize a background server to perform real-time online simulation of bridge characteristic data, analyze the health status of the bridge, and improve the efficiency and real-time performance of bridge health monitoring.

[0066] In some embodiments, the method may further include:

[0067] Bridge maintenance strategies that obtain multiple preset bridge health monitoring results;

[0068] From a plurality of bridge maintenance strategies of preset bridge health monitoring results, a bridge maintenance strategy corresponding to the bridge health monitoring result is determined, so as to maintain the bridge by using the bridge maintenance strategy corresponding to the bridge health monitoring result.

[0069] Specifically, the exemplary embodiments of the present disclosure may predetermine a plurality of preset bridge health monitoring results, and respectively determine bridge maintenance strategies for the plurality of preset bridge health monitoring results. Here, the plurality of preset bridge health monitoring results and the corresponding bridge maintenance strategies may be determined according to actual application scenarios, and the exemplary embodiments of the present disclosure do not specifically limit this.

[0070] At this time, after obtaining the bridge health monitoring results, the example embodiment of the present disclosure can obtain a variety of bridge maintenance strategies for preset bridge health monitoring results; and determine the bridge maintenance strategy corresponding to the bridge health monitoring results from the bridge maintenance strategies for the preset bridge health monitoring results, so that relevant technical personnel can use the bridge maintenance strategy corresponding to the bridge health monitoring results to perform timely maintenance on the bridge, extend the service life of the bridge, and reduce the occurrence of unsafe accidents.

[0071] In some embodiments, the method may further include:

[0072] Get pre-set bridge health warning conditions;

[0073] If the bridge health monitoring results meet the bridge health warning conditions, a bridge health warning is issued.

[0074] Specifically, the exemplary embodiment of the present disclosure may pre-set a bridge health warning condition. Here, multiple bridge health warning conditions may be determined according to actual application scenarios, and the exemplary embodiment of the present disclosure does not specifically limit this.

[0075] At this time, after obtaining the bridge health monitoring results, the example embodiment of the present disclosure can obtain the pre-set bridge health warning conditions; if the bridge health monitoring results meet the bridge health warning conditions, a bridge health warning is issued, so that relevant technical personnel can process the bridge health warning corresponding to the bridge health monitoring results to avoid greater safety hazards.

[0076] At least one of the above-mentioned technical solutions adopted in the exemplary embodiment of the present disclosure can achieve the following beneficial effects: receiving bridge characteristic data sent by the edge industrial computer through 433 wireless communication; wherein the bridge characteristic data is obtained by preprocessing the original measurement data of the bridge collected by multiple data acquisition devices by the edge industrial computer; analyzing the bridge characteristic data to obtain the bridge health monitoring result, and being able to use the edge industrial computer to obtain the original measurement data of the bridge collected by multiple data acquisition devices, thereby reducing the complexity and cost of wiring construction; at the same time, using the edge industrial computer to preprocess the original measurement data and uploading the obtained bridge characteristic data to the background server can reduce data transmission traffic and improve the efficiency and real-time performance of bridge health monitoring.

[0077] The above mainly introduces the solutions provided by the exemplary embodiments of the present disclosure. It is understandable that in order to implement the above functions, the electronic device includes hardware structures and / or software modules corresponding to the execution of each function. Those skilled in the art should easily realize that, in combination with the units and algorithm steps of each example described in the embodiments disclosed herein, the present disclosure can be implemented in the form of hardware or a combination of hardware and computer software. Whether a function is executed in the form of hardware or computer software driving hardware depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of the present disclosure.

[0078] The exemplary embodiments of the present disclosure can divide the functional units of the electronic device according to the above method examples. For example, each functional module can be divided according to each function, or two or more functions can be integrated into one processing module. The above integrated modules can be implemented in the form of hardware or in the form of software functional modules. It should be noted that the division of modules in the exemplary embodiments of the present disclosure is schematic and is only a logical function division. There may be other division methods in actual implementation.

[0079] In the case of dividing each functional module according to each function, an exemplary embodiment of the present disclosure provides a bridge health monitoring device, which may be a background server or a chip applied to the background server. Figure 3 FIG. 2 shows a schematic diagram of the structure of a bridge health monitoring device provided by an exemplary embodiment of the present disclosure. Figure 3 As shown, the device 300 includes:

[0080] The communication module 301 is used to receive the bridge characteristic data sent by the edge industrial computer through 433 wireless communication; wherein the bridge characteristic data is obtained by pre-processing the original measurement data of the bridge collected by multiple data acquisition devices by the edge industrial computer;

[0081] The processing module 302 is used to analyze the bridge characteristic data to obtain bridge health monitoring results.

[0082] In some embodiments, the edge industrial computer obtains the original measurement data of the bridge collected by the multiple data acquisition devices in a wired manner through a data acquisition instrument, and each of the data acquisition devices is connected to the edge industrial computer through the data acquisition instrument.

[0083] In some embodiments, the plurality of data acquisition devices include but are not limited to one or more of a vibrating string sensor, a triaxial accelerometer, a displacement meter, a static level, a wind direction and speed sensor, and a thermometer and hygrometer.

[0084] In some embodiments, the bridge characteristic data includes but is not limited to one or more of stress characteristic data, vibration characteristic data, deformation characteristic data and environmental characteristic data; wherein,

[0085] The stress characteristic data is obtained by preprocessing the vibration frequency of the bridge collected by the vibrating wire sensor by the edge industrial computer;

[0086] The vibration characteristic data is obtained by preprocessing the three-axis acceleration of the bridge collected by the three-axis acceleration sensor by the edge industrial computer;

[0087] The deformation characteristic data is obtained by preprocessing the displacement of the bridge collected by the displacement meter and the pressure of the bridge collected by the static level by the edge industrial computer;

[0088] The environmental characteristic data is determined by the edge industrial computer based on the wind direction and wind speed of the bridge collected by the wind direction and wind speed sensor and the temperature and humidity of the bridge collected by the thermometer and hygrometer.

[0089] In some embodiments, the processing module 302 is further used to perform real-time online simulation on the bridge characteristic data to obtain simulation results; and compare the simulation results with preset simulation results to obtain bridge health monitoring results.

[0090] In some embodiments, the processing module 302 is also used to obtain a plurality of bridge maintenance strategies for preset bridge health monitoring results; from the plurality of bridge maintenance strategies for preset bridge health monitoring results, determine the bridge maintenance strategy corresponding to the bridge health monitoring results, and maintain the bridge using the bridge maintenance strategy corresponding to the bridge health monitoring results.

[0091] In some embodiments, the processing module 302 is further configured to obtain a preset bridge health warning condition; if the bridge health monitoring result satisfies the bridge health warning condition, a bridge health warning is issued.

[0092] The exemplary embodiments of the present disclosure also provide an electronic device, comprising: at least one processor; a memory for storing at least one processor-executable instruction; wherein the at least one processor is used to execute the instruction to implement the steps of the above method disclosed in the exemplary embodiments of the present disclosure.

[0093] Figure 4 FIG. 1 shows a schematic diagram of the structure of an electronic device provided by an exemplary embodiment of the present disclosure. Figure 4 As shown, the electronic device 400 includes at least one processor 401 and a memory 402 coupled to the processor 401 . The processor 401 can execute corresponding steps in the above method disclosed in the exemplary embodiment of the present disclosure.

[0094] The processor 401 may also be referred to as a central processing unit (CPU), which may be an integrated circuit chip having signal processing capabilities. Each step in the method disclosed in the exemplary embodiment of the present disclosure may be completed by an integrated logic circuit of hardware in the processor 401 or by instructions in the form of software. The processor 401 may be a general-purpose processor, a digital signal processor (DSP), an ASIC, a field-programmable gate array (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components. A general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc. The steps of the method disclosed in conjunction with the exemplary embodiment of the present disclosure may be directly embodied as being executed by a hardware decoding processor, or may be executed by a combination of hardware and software modules in a decoding processor. The software module may be located in a memory 402, such as a random access memory, a flash memory, a read-only memory, a programmable read-only memory, or an electrically erasable programmable memory, a register, or other mature storage media in the art. The processor 401 reads the information in the memory 402 and completes the steps of the method in conjunction with its hardware.

[0095] In addition, when various operations / processes according to the present disclosure are implemented by software and / or firmware, they can be transmitted from a storage medium or a network to a computer system having a dedicated hardware structure, for example, Figure 5 The computer system 500 shown is installed with the programs constituting the software. When the various programs are installed, the computer system can perform various functions, including the functions described above. Figure 5 A schematic diagram of the structure of a computer system provided by an exemplary embodiment of the present disclosure is shown.

[0096] Computer system 500 is intended to represent various forms of digital electronic computer devices, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. Electronic devices may also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present disclosure described and / or claimed herein.

[0097] like Figure 5As shown, the computer system 500 includes a computing unit 501, which can perform various appropriate actions and processes according to a computer program stored in a read-only memory (ROM) 502 or a computer program loaded from a storage unit 508 into a random access memory (RAM) 503. In the RAM 503, various programs and data required for the operation of the computer system 500 can also be stored. The computing unit 501, the ROM 502, and the RAM 503 are connected to each other via a bus 504. An input / output (I / O) interface 505 is also connected to the bus 504.

[0098] A plurality of components in the computer system 500 are connected to the I / O interface 505, including: an input unit 506, an output unit 507, a storage unit 508, and a communication unit 509. The input unit 506 may be any type of device capable of inputting information to the computer system 500, and the input unit 506 may receive input digital or character information, and generate key signal inputs related to user settings and / or function control of the electronic device. The output unit 507 may be any type of device capable of presenting information, and may include, but is not limited to, a display, a speaker, a video / audio output terminal, a vibrator, and / or a printer. The storage unit 508 may include, but is not limited to, a disk, an optical disk. The communication unit 509 allows the computer system 500 to exchange information / data with other devices over a network such as the Internet, and may include, but is not limited to, a modem, a network card, an infrared communication device, a wireless communication transceiver, and / or a chipset, for example, a Bluetooth™ device, a WiFi device, a WiMax device, a cellular communication device, and / or the like.

[0099] The computing unit 501 may be a variety of general and / or special processing components with processing and computing capabilities. Some examples of the computing unit 501 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various dedicated artificial intelligence (AI) computing chips, various computing units running machine learning model algorithms, digital signal processors (DSPs), and any appropriate processors, controllers, microcontrollers, etc. The computing unit 501 performs the various methods and processes described above. For example, in some embodiments, the above methods disclosed in the exemplary embodiments of the present disclosure may be implemented as a computer software program, which is tangibly included in a machine-readable medium, such as a storage unit 508. In some embodiments, part or all of the computer program may be loaded and / or installed on an electronic device via a ROM 502 and / or a communication unit 509. In some embodiments, the computing unit 501 may be configured to perform the above methods disclosed in the exemplary embodiments of the present disclosure in any other appropriate manner (e.g., by means of firmware).

[0100] The exemplary embodiments of the present disclosure also provide a computer-readable storage medium, wherein when instructions in the computer-readable storage medium are executed by a processor of an electronic device, the electronic device is enabled to execute the above method disclosed in the exemplary embodiments of the present disclosure.

[0101] The computer-readable storage medium in the exemplary embodiment of the present disclosure may be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, device, or equipment. The above-mentioned computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices, or equipment, or any suitable combination of the above. More specifically, the above-mentioned computer-readable storage medium may include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above.

[0102] The computer-readable medium may be included in the electronic device, or may exist independently without being incorporated into the electronic device.

[0103] The exemplary embodiments of the present disclosure further provide a computer program product, including a computer program, wherein when the computer program is executed by a processor, the above method disclosed in the exemplary embodiments of the present disclosure is implemented.

[0104] In embodiments of the present disclosure, computer program codes for performing the operations of the present disclosure may be written in one or more programming languages ​​or combinations thereof, including but not limited to object-oriented programming languages, such as Java, Smalltalk, C++, and conventional procedural programming languages, such as "C" language or similar programming languages. The program code may be executed entirely on a user's computer, partially on a user's computer, as an independent software package, partially on a user's computer, partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer via any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer.

[0105] The flow chart and block diagram in the accompanying drawings illustrate the possible architecture, function and operation of the system, method and computer program product according to various embodiments of the present disclosure. In this regard, each square box in the flow chart or block diagram can represent a module, a program segment or a part of a code, and the module, the program segment or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some implementations as replacements, the functions marked in the square box can also occur in a sequence different from that marked in the accompanying drawings. For example, two square boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each square box in the block diagram and / or flow chart, and the combination of the square boxes in the block diagram and / or flow chart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0106] The modules, components or units involved in the exemplary embodiments described in the present disclosure may be implemented by software or hardware, wherein the names of the modules, components or units do not, in some cases, limit the modules, components or units themselves.

[0107] The functions described above herein may be performed at least in part by one or more hardware logic components. For example, without limitation, exemplary hardware logic components that may be used include: field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chip (SOCs), complex programmable logic devices (CPLDs), and the like.

[0108] The above descriptions are only some embodiments of the present disclosure and an explanation of the technical principles used. Those skilled in the art should understand that the scope of disclosure involved in the present disclosure is not limited to the technical solutions formed by a specific combination of the above technical features, but should also cover other technical solutions formed by any combination of the above technical features or their equivalent features without departing from the above disclosed concept. For example, a technical solution formed by replacing the above features with the technical features with similar functions disclosed in the present disclosure (but not limited to).

[0109] Although some specific embodiments of the present disclosure have been described in detail by way of example, it should be understood by those skilled in the art that the above examples are for illustration only and are not intended to limit the scope of the present disclosure. It should be understood by those skilled in the art that the above embodiments may be modified without departing from the scope and spirit of the present disclosure. The scope of the present disclosure is defined by the appended claims.

Claims

1. A bridge health monitoring method, characterized in that: Applied to backend servers, including: Receiving bridge characteristic data sent by the edge industrial computer through 433 wireless communication; wherein the bridge characteristic data is obtained by preprocessing the original measurement data of the bridge collected by multiple data acquisition devices by the edge industrial computer; The bridge characteristic data is analyzed to obtain bridge health monitoring results.

2. The method according to claim 1, characterized in that The edge industrial computer obtains the original measurement data of the bridge collected by the multiple data acquisition devices in a wired manner through a data acquisition instrument, and each of the data acquisition devices is connected to the edge industrial computer through a wired connection through the data acquisition instrument.

3. The method according to claim 1, characterized in that The multiple data acquisition devices include but are not limited to one or more of a vibrating string sensor, a three-axis acceleration sensor, a displacement meter, a static level, a wind direction and speed sensor, and a thermometer and humidity meter.

4. The method according to claim 3, characterized in that The bridge characteristic data includes but is not limited to one or more of stress characteristic data, vibration characteristic data, deformation characteristic data and environmental characteristic data; wherein, The stress characteristic data is obtained by preprocessing the vibration frequency of the bridge collected by the vibrating wire sensor by the edge industrial computer; The vibration characteristic data is obtained by preprocessing the three-axis acceleration of the bridge collected by the three-axis acceleration sensor by the edge industrial computer; The deformation characteristic data is obtained by preprocessing the displacement of the bridge collected by the displacement meter and the pressure of the bridge collected by the static level by the edge industrial computer; The environmental characteristic data is determined by the edge industrial computer based on the wind direction and wind speed of the bridge collected by the wind direction and wind speed sensor and the temperature and humidity of the bridge collected by the thermometer and hygrometer.

5. The method according to claim 1, characterized in that The analyzing the bridge characteristic data to obtain the bridge health monitoring result includes: Performing real-time online simulation on the bridge characteristic data to obtain simulation results; The simulation results are compared with preset simulation results to obtain bridge health monitoring results.

6. The method according to claim 5, characterized in that The method further comprises: Bridge maintenance strategies that obtain multiple preset bridge health monitoring results; From the plurality of bridge maintenance strategies of the preset bridge health monitoring results, a bridge maintenance strategy corresponding to the bridge health monitoring result is determined, so as to maintain the bridge by using the bridge maintenance strategy corresponding to the bridge health monitoring result.

7. The method according to any one of claims 1 to 6, characterized in that: The method further comprises: Get pre-set bridge health warning conditions; If the bridge health monitoring result meets the bridge health warning condition, a bridge health warning is issued.

8. A bridge health monitoring device, characterized in that: Applied to backend servers, including: A communication module is used to receive bridge characteristic data sent by an edge industrial computer through 433 wireless communication; wherein the bridge characteristic data is obtained by preprocessing the original measurement data of the bridge collected by multiple data acquisition devices by the edge industrial computer; The processing module is used to analyze the bridge characteristic data to obtain bridge health monitoring results.

9. An electronic device, characterized in that: include: at least one processor; a memory for storing the at least one processor-executable instruction; The at least one processor is configured to execute the instructions to implement the steps of the method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: When the instructions in the computer-readable storage medium are executed by a processor of an electronic device, the electronic device is enabled to perform the steps of the method according to any one of claims 1 to 7.

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