Civil engineering structure health intelligent monitoring system based on WiFi signal

Abstract

The invention provides a civil engineering structure health intelligent monitoring system based on WiFi signals, and belongs to the technical field of detection systems, the civil engineering structure health intelligent monitoring system comprises a structure state monitoring system, a digital informatization processing and feedback system and an algorithm self-adaptive updating system, based on the monitoring function of the WiFi signals on the structure, information such as real-time intensity of a WiFi base station is received through terminal movement, and the algorithm self-adaptive updating system is used for updating the algorithm self-adaptive updating system. The terminal transmits the information to the cloud to analyze the building structure health state information; the terminal analyzes and draws a building structure cloud picture in combination with the monitoring position; a learning algorithm is updated in real time in combination with monitoring data; and evaluating the health state of the structure in combination with monitoring data. The intelligent health monitoring system provided by the invention is reasonable in design and feasible to use. Compared with a traditional structure health evaluation system, the system has the advantages that the visualization effect is enhanced, the monitoring efficiency is improved, the detection cost is reduced, the system is suitable for popularization and application, and the intelligent degree is higher. And high-efficiency and low-cost intelligent health state evaluation for the building structure is realized.

Description

Technical Field

[0001] The present invention belongs to the technical field of monitoring systems, and in particular relates to a health intelligent monitoring system for civil engineering structures based on WiFi signals. Background Art

[0002] Structural health monitoring of buildings and structures refers to the continuous or regular monitoring and evaluation of buildings or engineering structures to obtain information on their performance, status and safety during service, so as to timely discover and warn of potential structural problems. It is of great significance to ensure the safety and reliability of various buildings and structures during their life cycle and to ensure the normal operation of social infrastructure.

[0003] At present, there are few applications of intelligent long-term monitoring of the structural health status of buildings and structures. The cost of long-term health testing of a single building using traditional monitoring and old assessment systems is high and difficult to achieve. There is an urgent need to establish a more suitable and scalable structural operation and maintenance monitoring system for long-term monitoring of various types of buildings.

[0004] Summarizing the common problems of the current monitoring structural health monitoring system, the following deficiencies are common:

[0005] (1) The cost of a single monitoring is high. Currently, monitoring instruments for buildings and structures are expensive, and the purchase and maintenance costs of ultrasonic and radar equipment are high, especially when high-precision detection or large-scale buildings and structures are required, the equipment requirements are even higher.

[0006] (2) The installation and layout of the instruments are complex. In particular, some detection instruments need to be laid out in advance, and the requirements are extremely high. During the layout process, the installation position, angle and environmental adaptability must be accurately designed to ensure the accuracy and reliability of the monitoring data. Due to the complexity of the requirements, the layout work requires personnel with rich professional knowledge to perform, which is not conducive to the promotion and application of monitoring methods, and has high requirements for the design of monitoring plans, line layout, and channel installation system integration. If a non-destructive testing solution is adopted, the system cost is extremely high, long-term monitoring cannot be achieved, and it is not economical to implement.

[0007] (3) Reliance on manual operation, with low efficiency and accuracy. Since manual operation and the interpretation of monitoring data are highly dependent on the operator's experience and judgment, subjective errors are easily introduced, which may lead to deviations in the determination of the health status of the building structure. Such deviations may not only affect the accuracy of the results, but may also have an adverse impact on the safety assessment of the building structure and increase potential risks.

[0008] (4) The monitoring results are not visualized well. Currently, monitoring results are often presented in the form of data or graphs. Interpreting this information requires professional knowledge and is difficult for ordinary users to understand intuitively. Due to the lack of intuitive images or models, the results are not visualized well, making it easier for users to misunderstand or ignore potential risks during analysis and evaluation, which in turn affects the accuracy and timeliness of monitoring.

[0009] (5) Poor universality. Various types of buildings and structures are complex to build, have different structures, and have high environmental impacts. Traditional structural operation and maintenance monitoring systems are often only targeted at a certain type of structural building, or even only target a single influencing factor, and are difficult to apply to other buildings and structures.

[0010] (6) Data processing is complex and time-consuming. The current traditional structural operation and maintenance monitoring system requires the collection of massive monitoring data, and the processing methods for each type of monitoring data are different, which results in slow processing time and cannot meet the real-time requirements of structural health assessment.

[0011] Based on the above shortcomings and characteristics, in the field of building health assessment, there is a need for a new intelligent monitoring system for building structure operation and maintenance that can solve the shortcomings of the current traditional health monitoring system, such as low monitoring efficiency, high cost, poor universality, low visualization, and poor efficiency, and to achieve a new intelligent monitoring system for building structure operation and maintenance that is efficient, low-cost, highly visualized, and universally applicable. Summary of the invention

[0012] The purpose of the present invention is to provide a civil engineering structure health intelligent monitoring system based on WiFi signals, which includes three subsystems: a structural state monitoring system, a digital information processing feedback system, and an algorithm adaptive update system.

[0013] The above-mentioned structural state detection system includes a signal transmission system and a data acquisition system.

[0014] The above-mentioned digital information processing feedback system includes a data transmission system and a data processing system.

[0015] The above algorithm adaptive updating system includes a data storage and management system and an algorithm intelligent updating system.

[0016] The above-mentioned signal transmission system refers to the output system of the WiFi model, which should have the function of transmitting WiFi signals and be installed inside the building or the surrounding environment during the operation and maintenance stage of the building. The specific form is in the form of a fixed base station (such as a router, etc.), installed at any fixed position inside the building or the surrounding environment, and a high-power base station or multiple base stations should be installed so that the monitoring area of ​​the building can be completely covered by the WiFi signal, that is, there is no signal blind spot.

[0017] The above-mentioned data acquisition system refers to a WiFi signal receiving system, which is mainly in the form of a portable mobile terminal (such as a mobile phone), with a built-in power module, a main control module, a WiFi network module, a WiFi signal analysis module, a communication module (such as a wireless communication module, a Bluetooth communication module), an intelligent positioning module (such as an image processing module, a GPS positioning module, a Bluetooth / WiFi assisted positioning module), and a display module.

[0018] The above data collection system has an indoor positioning function, and should be able to move around inside the building and some of the buildings and receive WiFi signals, and at least be able to extract WiFi signal strength, wavelength and frequency information. It can record WiFi data information measured at different spatial locations, and has data transmission and reception functions, and can receive or transmit the collected data information.

[0019] The above data transmission system includes two parts, which are respectively placed in the data acquisition system and the data processing system. Information data can be transmitted and received between the data acquisition system and the data processing system to achieve efficient recycling of data.

[0020] The data processing system comprises a power supply module, a main control module, a network module, a communication module, a data analysis and processing module and a drawing module.

[0021] The above-mentioned data processing system is mainly in the form of a fixed edge (such as a personal computer). After receiving the data transmitted by the data acquisition system via the data transmission system, it calculates the health status information of each structure of the building through a pre-built-in WiFi health assessment algorithm, scores each structure of the building, and uses a drawing module to draw a two-dimensional / three-dimensional building structure health analysis cloud map to display the health of each structure of the building in an intuitive way, and the drawn cloud map is displayed on the local machine or transmitted to the data acquisition system terminal for display.

[0022] After completing the data processing, the data processing system organizes the data transmitted by the visualization and receiving acquisition system, and transmits and stores it to the data storage and management system.

[0023] After discovering hidden dangers in the structure, the above-mentioned data processing system will immediately generate hidden danger information and display it on the edge and mobile terminals.

[0024] The above-mentioned visualization refers to the digital processing feedback system drawing the building structure based on the moving position of the signal receiver, marking the concrete strength of each position of the building structure in the form of color marking, etc., and displaying the strength of the building structure to the user terminal in two-dimensional or three-dimensional form.

[0025] The above data storage and management system exists in the cloud and includes (1) a pre-learning library of the relationship between WiFi strength, wavelength, frequency and other information and the health status of buildings; (2) data collected and processed inside each building. According to the type of building (such as bridge, tunnel, building), the data is stored separately and transmitted to the algorithm intelligent update system.

[0026] The above-mentioned algorithm intelligent update system, together with the data storage and management system, relies on the cloud at the same time. It can store all collected information data and store them separately according to the structure type. It can also update the pre-learning library of the building health status relationship of the data storage and management system according to the different types of structures, and further update the algorithm according to the different types of buildings, so as to make the algorithm better adapt to different types of structures and improve the calculation accuracy.

[0027] The above algorithm intelligent update system automatically downloads and transmits the updated algorithm to the data processing system via the network in real time, updates the algorithm pre-built in the data processing system, and realizes real-time intelligent update of the algorithm.

[0028] The above-mentioned structure operation and maintenance intelligent monitoring system can be used in a variety of systems.

[0029] The above-mentioned building visualization module is based on the mainstream visualization graphics engine, using mainstream development systems such as JAVA, Python, etc., and the operating environment includes Windows, Android, and iOS systems.

[0030] The above data processing system can provide users with a convenient information retrieval system, which can be used to check the historical information of the structure operation and maintenance intelligent monitoring system, use the previous version algorithm, and query the monitoring information in real time.

[0031] The above-mentioned intelligent detection system for structural operation and maintenance develops an APP program on the mobile terminal, and can be integrated into the data receiving system to realize browsing of the three-dimensional model of the building and the structural safety status. It realizes the functions of partial zoom-in detail display, rotation and translation transformation, and display and hiding of partial construction of the model.

[0032] The above-mentioned intelligent algorithm is based on artificial intelligence algorithm and monitoring data, and can realize real-time analysis and prediction of the structural safety status of buildings and structures.

[0033] The development of the above systems includes a digital information model environment interface, which is developed using programming languages ​​such as Python, and can provide monitoring data collection and analysis, and adjust the operating cycle of the data processing system.

[0034] The above health status assessment is carried out based on the health status evaluation system of each building and structure.

[0035] The above health status evaluation system is based on the performance of buildings and structures. It uses expert scoring and evaluation to score the performance indicators of each component of the building, and uses a weighted average method to evaluate the health and safety status of each component in a percentage system, and implements a rating for each score area.

[0036] The above health status evaluation system conducts computer online evaluation of the structural health status of buildings and structures based on monitoring data and information calculated by the data processing system, and gives ratings and scores for each component. Finally, the overall health status of the building and structure is evaluated based on the scores of all components.

[0037] Compared with the prior art, the beneficial effects of the present invention are mainly reflected in:

[0038] 1. The present invention provides a structure operation and maintenance intelligent monitoring system based on WiFi signals, which is safe, stable, durable, low-cost, and can evaluate the health status of building structures.

[0039] 2. The structural operation and maintenance intelligent monitoring system based on WiFi signals of the present invention can utilize existing WiFi devices in buildings, has controllable costs, can be promoted and applied, and has higher monitoring efficiency.

[0040] 3. The structure operation and maintenance intelligent monitoring system based on WiFi signals of the present invention can deploy base stations for different building architectures, and has stronger universality.

[0041] 4. The intelligent monitoring system for structural operation and maintenance based on WiFi signals can update the intelligent algorithm according to the building conditions for the same building, realize long-term health detection, with strong pertinence and relatively improved detection accuracy.

[0042] 5. The intelligent monitoring system for structural operation and maintenance based on WiFi signals realizes the structural status evaluation system of buildings based on detection data, and can further develop the digital twin status evaluation function. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] Figure 1 The figure is a schematic diagram of the principle of the intelligent health monitoring system for civil engineering structures based on WiFi signals of the present invention. DETAILED DESCRIPTION

[0044] The following will be described in more detail with reference to a schematic diagram of a civil engineering structure health intelligent monitoring system based on WiFi signals of the present invention, wherein a preferred embodiment of the present invention is shown. It should be understood that those skilled in the art can modify the present invention described herein while still achieving the beneficial effects of the present invention. Therefore, the following description should be understood as being widely known to those skilled in the art and not as a limitation to the present invention.

[0045] like Figure 1As shown, a civil engineering structure health intelligent monitoring system based on WiFi signals includes the following steps:

[0046] Step 1:

[0047] At any stage after the completion of the construction of the structure, a structural status detection system 1 is set up to draw a planar or three-dimensional spatial schematic diagram of the building. Thereafter, a signal transmission system 4 is deployed at any location inside or outside the building. It should have a fixed frequency signal transmission function, and the signal should cover the WiFi base station of the entire building, and it should continuously transmit the signal and indicate the location in the schematic diagram.

[0048] Step 2:

[0049] The data acquisition system 5 is a portable mobile device with positioning and signal receiving functions, which can collect and store the required information of signals in buildings for a long time, and has interactive and display functions, and can execute user commands and display required information to users.

[0050] Step 3

[0051] Develop an algorithm adaptive update system 3, which is a cloud server that stores a large amount of collected WiFi signal information and concrete strength and internal structure information of different buildings, and they are one-to-one. Use a machine learning algorithm to compare and integrate the relationship between the two and form a training algorithm. It has a transmission function that can transmit the algorithm to a remote personal computer.

[0052] Step 4

[0053] Developing a data transmission system 6 in the digital information processing feedback system 2 is to develop a program on a personal computer so that it can receive algorithms from a cloud server and receive data information from a mobile terminal, and calculate in a data processing system 7 to obtain the building strength information corresponding to the above data information under the above algorithm.

[0054] Step 5

[0055] Developing the data processing system 7 so that it can have an image drawing function, obtain the data in step 4, and draw a schematic diagram of the internal structure of reinforced concrete and a reinforced concrete strength cloud diagram based on it, which means visually and intuitively displaying the calculation data.

[0056] Step 6

[0057] Develop an algorithm intelligent update system 9 so that it can manage the data obtained from the data storage and management system 8, further collect and store all data transmitted to the server, automate calculations, and continue to learn and update the existing algorithm of the training algorithm that has been trained in step three.

[0058] After completing the above development, enter the information acquisition stage.

[0059] Step 7

[0060] The structural status detection system 1 is turned on and operated for a long time, and the signal transmission system 4 is fully deployed, so that the building is completely covered by WiFi signals.

[0061] Step 8

[0062] The user uses the portable mobile terminal of the data acquisition system 5 inside and outside the building to collect the signal information emitted by the signal emission system 4 at each location for a long time, and stores and transmits the information to the data transmission system 6, and transmits it to the data processing system 7 regularly.

[0063] Step 9

[0064] The personal computer of the data processing system 7 has received the algorithm transmitted by the cloud server of the data storage and management system 8 in advance, and regularly receives the building signal data transmitted by the data transmission system 6. Through the data obtained by the algorithm operation, the reinforced concrete strength information of the building obtained when the building collects the signal is analyzed and calculated. After the result is visualized in step 5, it is transmitted to the data transmission system 6 and the data storage and management system 8 respectively.

[0065] Step 10

[0066] After receiving the information from the data processing system 7 in step nine, the data storage and management system stores the data in the cloud server, and regularly transmits the data from the data storage and management system 8 to the algorithm intelligent update system 9. Combined with the transmitted data update algorithm, a customized health monitoring algorithm for the building is generated, and the algorithm is updated and transmitted to the data processing system 7.

[0067] Step 11

[0068] After receiving the visualization results transmitted by the data processing system 7 in step nine, the data transmission system 6 visualizes the measured structural strength diagram and distribution diagram on the mobile terminal of the data acquisition system 5. This diagram and its data are the results obtained in this monitoring.

[0069] Step 12

[0070] By repeating steps eight to eleven, high-precision, low-cost, and high-efficiency long-term reinforced concrete strength and steel bar distribution detection can be achieved for the same building, greatly improving detection efficiency and realizing real-time detection and visual feedback functions.

[0071] The above is only a preferred embodiment of the present invention and does not limit the present invention in any way. Any technician in the relevant technical field, without departing from the scope of the technical solution of the present invention, makes any form of equivalent replacement or modification to the technical solution and technical content disclosed in the present invention, which does not depart from the content of the technical solution of the present invention and still falls within the protection scope of the present invention.

Claims

1. An intelligent health monitoring system for civil engineering structures based on WiFi signals, characterized in that: Including structural status monitoring system, digital information processing feedback system and algorithm adaptive update system; The structural state monitoring system includes a signal transmission system and a data acquisition system. The signal transmission system is used to establish a WiFi signal coverage area. The data acquisition system and the signal transmission system are interconnected by signals and are used to locate and collect WiFi data information within the WiFi signal coverage area. The digital information processing feedback system includes a data transmission system and a data processing system. The data transmission system is used to connect with the data acquisition system and the data processing system to transmit and receive information to each other. The data processing system draws a two-dimensional / three-dimensional building structure health analysis cloud map based on the collected WiFi data information through a preset algorithm and a drawing module, and transmits it to the terminal of the data acquisition system and the data storage management system for display and storage respectively. The algorithm adaptive update system includes a data storage management system and an algorithm intelligent update system that rely on the cloud at the same time. The data storage management system receives data transmitted by the data processing system and performs classification management, and transmits the data to the algorithm intelligent update system after completion; the algorithm intelligent update system updates the algorithm according to different categories of data, and transmits the updated algorithm to the data processing system, updates its preset algorithm, and realizes real-time intelligent update of the algorithm.

2. The intelligent health monitoring system for civil engineering structures based on WiFi signals according to claim 1 is characterized in that: The signal transmission system is in the form of a fixed base station, which is installed at any fixed position inside the building or in the surrounding environment during the operation and maintenance stage of the building, so that the monitoring area of ​​the building is completely covered by the WiFi signal.

3. The intelligent health monitoring system for civil engineering structures based on WiFi signals according to claim 1 is characterized in that: The data acquisition system is presented in the form of a portable mobile terminal, which is equipped with a power module, a main control module, a WiFi network module, a WiFi signal analysis module, a communication module, an intelligent positioning module and a display module that cooperate with each other.

4. The intelligent health monitoring system for civil engineering structures based on WiFi signals according to claim 3 is characterized in that: The communication module includes a wireless communication module and a Bluetooth communication module, and the intelligent positioning module includes an image processing module, a GPS positioning module and a Bluetooth / WiFi auxiliary positioning module.

5. The intelligent health monitoring system for civil engineering structures based on WiFi signals according to claim 1 is characterized in that: The data processing system is presented in the form of a fixed edge, which includes a power module, a main control module, a network module, a communication module, a data analysis and processing module and a drawing module; After receiving the data transmitted by the data acquisition system, the data processing system calculates the health status information of each structure of the building through the built-in WiFi health assessment algorithm of the data analysis module, and scores each structure of the building. Then, a two-dimensional / three-dimensional building structure health analysis cloud map is drawn through the drawing module, and the drawn cloud map is displayed at the edge of the body or transmitted to the data acquisition system. Finally, after completing the data processing, the visualization and the data transmitted by the acquisition system are sorted, and the data is transmitted and stored in the data storage and management system.

6. The intelligent health monitoring system for civil engineering structures based on WiFi signals according to claim 5 is characterized in that: The visualization is specifically as follows: the digital information processing feedback system draws the building structure based on the moving position of the portable mobile terminal, and marks the concrete strength of each position of the building structure, and displays the strength of the building structure in a two-dimensional or three-dimensional manner on the edge of the main body or the mobile terminal.

7. The intelligent health monitoring system for civil engineering structures based on WiFi signals according to claim 5 is characterized in that: The calculation of health status information is based on the health status evaluation system of each building and structure. The health status evaluation system performs computer online evaluation of the structural status of the building and structure based on the monitoring data, i.e., the information calculated by the data processing system. Specifically, the expert scoring evaluation method is first used to score the performance indicators of each component of the building. Then, a weighted average method is used to evaluate the health and safety status of each component in a percentage system, and each score area is rated. Finally, the overall health status of the building and structure is evaluated based on the scores of all components.

8. The intelligent health monitoring system for civil engineering structures based on WiFi signals according to claim 1 is characterized in that: The data storage and management system specifically includes a pre-learning library of the relationship between WiFi strength, wavelength, frequency information and the health status of buildings, and data collected and processed inside each building. According to the type of building, the data is stored separately and transmitted to the algorithm intelligent update system.

9. The intelligent health monitoring system for civil engineering structures based on WiFi signals according to claim 1 is characterized in that: The algorithm intelligent update system stores the received data according to the structural type, and updates the building health status relationship pre-learning library of the data storage management system according to the different types of structures. On this basis, the algorithm is further updated according to the different types of buildings to enable the algorithm to better adapt to different types of structures and improve the calculation accuracy.

10. The intelligent health monitoring system for civil engineering structures based on WiFi signals according to claim 1, characterized in that: The terminal is developed with an APP and is equipped with an integrated data acquisition system. Through the terminal APP, it is possible to browse the three-dimensional model of the building and the structural safety status, display the local method details of the model, rotate and translate, and show or hide some components.

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