A multi-scenario intelligent safety monitoring system

Abstract

The present invention belongs to the technical field of multi-scenario safety monitoring, and relates to a multi-scenario intelligent safety monitoring system. The present invention helps to identify potential safety risks in advance by confirming the current meteorological scene, load scene and water scene of the target monitoring object, and also provides basic support for subsequent analysis. By determining the appropriate safety reference values ​​of the parameters of the health information parameters corresponding to the scene in which the target monitoring object is currently located, it is timely discovered whether the structure of the target monitoring object is in an abnormal stress or unfavorable environmental state, which provides a basis for formulating an accurate maintenance plan. By analyzing the health coefficients of the main beams, the health coefficients of the bridge decks and the health coefficients of the piers in the scene in which the target monitoring object is currently located, it is conducive to timely discovering potential safety hazards, taking traffic control or maintenance measures, avoiding accidents, and keeping the target monitoring object in a good health state at all times, which can effectively extend its service life.

Description

Technical Field

[0001] The present invention belongs to the technical field of multi-scenario security monitoring and relates to a multi-scenario intelligent security monitoring system. Background Art

[0002] With the development of the economy and the acceleration of urbanization, the scale of infrastructure in various industries continues to expand and become increasingly complex. These different facilities face a variety of security threats, such as natural disasters, man-made damage, equipment failures, etc., and different geographical environments and climatic conditions also bring challenges to safety monitoring. The cross-sea bridge is a key component of transportation infrastructure. It connects the land and islands or crosses the bay, and plays a vital role in promoting regional economic development and strengthening regional exchanges and cooperation. Therefore, it is very necessary to conduct safety inspections on cross-sea bridges. Traditional bridge safety inspection methods mainly rely on regular manual inspections, but manual inspections are difficult to achieve real-time monitoring, and some instantaneous safety hazards cannot be discovered in time. In addition, manual inspections are highly subjective, and some hidden parts or minor damage may be missed. Therefore, a multi-scenario intelligent safety detection system based on cross-sea bridges is of great significance and role.

[0003] In the prior art, there are also some related solutions involving bridge safety detection, for example, the invention patent application of a smart safety detection system for bridge engineering construction with the Chinese patent publication number CN111982202A includes an environmental detection system, a deformation detection system, a concrete strain detection system, a bridge vibration detection system, a construction site monitoring system, a working equipment data detection system, a data acquisition module, a safety detection center and an alarm module. The environmental detection system is used to detect the temperature, humidity, wind speed and other environmental data of the bridge construction site in real time, the deformation detection system is used to detect the deformation of each structure of the bridge under construction in real time, and to record the deformation data in real time, the concrete strain detection system is used to implement the detection of the strain of the concrete used in the construction of each structure of the bridge, and the bridge vibration detection system is used to detect the vibration of the bridge. The bridge construction site is detected through the safety detection center, and an alarm is issued in time for the danger that occurs, so as to eliminate the safety hazards in time and avoid the occurrence of danger.

[0004] Another invention patent application for a road bridge safety detection system and detection method with a Chinese patent publication number of CN113218443B includes a front left position sensor and a front right position sensor located at the front end of the bridge. A rear left position sensor and a rear right position sensor are located at the rear end of the bridge. A plurality of pairs of center left position sensors and center right position sensors arranged in pairs in the middle of the bridge, and a controller, by comparing the three-dimensional model drawn by the real-time detection results of the selected sensors with the corresponding three-dimensional model inside the controller, it is possible to judge in real time whether the local positions of the bridge and the entire bridge are in a state of deflection, deformation and displacement and whether they are within a safe range. It is possible to obtain the local position of the bridge that exceeds the safety range in real time, and reduce the impact caused by the error caused by the detection accuracy of a single sensor device through the three-dimensional model data. It is also possible to control the area that needs mechanical reinforcement as a whole, and reduce the unexpected reduction in overall performance strength caused by local improvements.

[0005] Although the above schemes have proposed some solutions for bridge safety detection, they still have certain limitations: (1) The existing technology mainly analyzes bridges in the current environment, but it ignores the impact of different weather, different vehicle loads and different sea levels on the structural safety of bridges, and thus cannot more comprehensively and accurately identify the structural safety of bridges.

[0006] (2) Existing technologies analyze bridges from the perspectives of deformation, concrete strain and vibration, or from the perspectives of yaw, deformation and displacement. However, existing technologies only consider the impact of some factors and lack a unified analysis of multiple dimensions such as strain, vibration, cracks, displacement, settlement, tilt and corrosion. As a result, it is impossible to fully understand the health of the bridge, and thus it is impossible to formulate an accurate maintenance plan, and it is impossible to carry out reinforcement and repair in a timely manner to prevent structural damage.

[0007] (3) Existing technologies only analyze the current safety status of the bridge, but ignore how to take management measures if the current safety status is unsafe, which is not conducive to keeping the bridge in a good healthy state. Summary of the invention

[0008] In view of this, in order to solve the problems raised in the above background technology, a multi-scenario intelligent security monitoring system is now proposed.

[0009] The purpose of the present invention can be achieved through the following technical solutions: The present invention provides a multi-scenario intelligent safety monitoring system, including: an external information parameter analysis module, an external information parameter parsing module, a health information parameter parsing module, a security management module and an information library.

[0010] The external information parameter analysis module is used to detect the external environment of the target monitoring object, obtain the external information parameters of the target monitoring object, and based on them confirm the current meteorological scene, load scene and water scene of the target monitoring object.

[0011] The external information parameter analysis module determines the influencing factors corresponding to the current scene of the target monitoring object based on the current meteorological scene, load scene and water scene of the target monitoring object, and determines the appropriate safety reference values ​​of each parameter of the health information parameters corresponding to the current scene of the target monitoring object.

[0012] The health information parameter parsing module is used to obtain the health information parameters of the current scene of the target monitoring object, including the main beam health information parameters, the bridge deck health information parameters and the pier health information parameters, analyze the health coefficients of each main beam, the bridge deck health coefficient and the pier health coefficients of the current scene of the target monitoring object, and then obtain the safety level warning line of the current scene of the target monitoring object, including the first safety warning line, the second safety warning line and the third safety warning line.

[0013] The security management module is used to perform security management on the scene where the target monitoring object is currently located based on the security level warning warning line of the scene where the target monitoring object is currently located.

[0014] The information database is used to store the permissible discoloration area and permissible spalling area under the conditions that do not affect the use of the target monitored object, store the wind speed range, humidity range, rainfall range and snowfall range corresponding to each meteorological scene, store the traffic volume range and vehicle load range corresponding to each load scene, store the water flow velocity range and wave height range corresponding to each water scene, store the influencing factors corresponding to the current meteorological scene, load scene and water scene of the target monitored object, store the appropriate safety reference values ​​of each parameter of the health information parameters corresponding to each influencing factor range, and store the safety indicator threshold range of each safety level warning warning line.

[0015] Compared with the prior art, the beneficial effects of the present invention are as follows: 1. Different weather scenes, different vehicle load scenes and different sea level scenes will have different impacts on the structural safety of the target monitoring object. The present invention obtains the external information parameters of the target monitoring object, and based on it, confirms the current meteorological scene, load scene and water scene of the target monitoring object, which is conducive to the subsequent analysis of the specific impact of the current scene of the target monitoring object, thereby facilitating the early identification of potential safety risks and providing basic support for subsequent analysis.

[0016] 2. The present invention helps to timely discover whether the structure of the target monitoring object is in an abnormal stress or unfavorable environmental state by determining the appropriate safety reference values ​​of each parameter of the health information parameter corresponding to the current scene of the target monitoring object, providing a basis for formulating an accurate maintenance plan, so that reinforcement and repair can be carried out in time to prevent structural damage.

[0017] 3. The present invention analyzes the health coefficients of the main beams, the bridge deck and the piers in the current scene of the target monitoring object, and then obtains the safety level warning line of the current scene of the target monitoring object, so as to understand the safety status of the target monitoring object in the current scene in real time, thereby facilitating the timely discovery of potential safety hazards, taking traffic control or maintenance measures, and avoiding accidents. In addition, the determination of the safety level warning line can provide clear risk warning standards, so that maintenance personnel and managers can make timely and effective responses to ensure the safe passage of the bridge.

[0018] 4. The present invention performs security management on the scene where the target monitoring object is currently located, which helps to keep the target monitoring object in a good health state at all times and can effectively extend its service life. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for describing the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0020] Figure 1 It is a schematic diagram of system module connection of the present invention.

[0021] Figure 2 It is a schematic diagram of the system implementation flow of the present invention.

[0022] Figure 3 A schematic diagram of the main beam cracks which are the target monitoring objects of the present invention.

[0023] Description of the accompanying drawings: 1. Main beam of the target monitoring object; 2. Crack in the main beam of the target monitoring object; 3. Length of crack in the main beam of the target monitoring object; 4. Width of crack in the main beam of the target monitoring object. DETAILED DESCRIPTION

[0024] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0025] See also Figure 1 As shown, the present invention provides a multi-scenario intelligent safety monitoring system, and the specific modules are distributed as follows: external information parameter analysis module, external information parameter parsing module, health information parameter parsing module, security management module and information library. Among them, the connection mode between the modules is: the external information parameter analysis module is connected to the external information parameter parsing module, the external information parameter parsing module is connected to the health information parameter parsing module, the health information parameter parsing module is connected to the security management module, and the information library is respectively connected to the external information parameter analysis module, the external information parameter parsing module and the health information parameter parsing module.

[0026] The external information parameter analysis module is used to detect the external environment of the target monitoring object, obtain the external information parameters of the target monitoring object, and based on them confirm the current meteorological scene, load scene and water scene of the target monitoring object.

[0027] It needs to be further explained that the system implementation flow diagram is as follows Figure 2 shown.

[0028] As a specific example, the weather scenarios include but are not limited to normal weather scenarios, moderate weather scenarios, and extreme weather scenarios.

[0029] It should be noted that the conventional meteorological scene generally refers to the weather conditions that are common in daily life and have little impact on human social activities, and are stable, predictable and universal. For example, weather conditions such as sunny, cloudy, light rain, and light wind can all be regarded as conventional meteorological scenes.

[0030] The medium weather scenarios refer to those weather conditions that are relatively common but have a certain impact on human social activities, and they have a certain degree of uncertainty, requiring people to take certain preventive measures to deal with them. For example, moderate to heavy rain, thunderstorms, strong winds, haze and other weather conditions can all be regarded as medium weather scenarios. These weather conditions may have a certain impact on transportation, agricultural production, urban operations and other aspects, but usually do not cause serious catastrophic consequences.

[0031] Extreme weather scenarios refer to those rare weather phenomena that cause serious damage to human society and the ecosystem, and are sudden, extreme and unpredictable. For example, extreme high temperatures, extreme low temperatures, extreme precipitation (such as heavy rain, torrential rain), extreme drought, strong typhoons, tornadoes, hail, etc. can all be considered extreme weather scenarios.

[0032] The load scenarios include but are not limited to low traffic load scenarios, medium traffic load scenarios and high traffic load scenarios.

[0033] It should be noted that the low traffic load scenario refers to a situation where the annual average daytime and nighttime traffic flow is between 0 and 5,000 vehicles, and the impact on the bridge structure is relatively limited.

[0034] The medium traffic load scenario refers to the situation where the annual average daytime and nighttime traffic flow is between 5,000 and 20,000 vehicles, and the bridge structure is under a certain pressure but is still within the design allowable range.

[0035] The high traffic load scenario refers to a situation where the annual average daytime and nighttime traffic flow is more than 20,000 vehicles and the bridge structure is under great pressure.

[0036] The water scene includes but is not limited to a calm water scene, a fluctuating water scene and an active water scene.

[0037] It should be noted that the calm water scene refers to a water body with no waves or ripples on the surface, presenting a tranquil and peaceful state, and being able to clearly reflect the surrounding environment.

[0038] The fluctuating water scene refers to slight fluctuations or ripples on the surface of the water, but the fluctuation amplitude is not large and no obvious waves or waves are formed. That is, the water body is usually affected by natural factors such as wind and rain, resulting in a slight fluctuation effect.

[0039] The active water scene refers to the presence of obvious fluctuations, ripples or waves on the surface of the water body, and the water body presents strong dynamic characteristics, that is, the water body is usually subject to large external forces, such as strong winds, rapids, etc.

[0040] As a preferred feasibility example, the external information parameters of the target monitoring object include weather information parameters, vehicle information parameters and sea surface information parameters.

[0041] The weather information parameters include wind speed, humidity, rainfall and snowfall.

[0042] It needs to be further explained that the specific method of obtaining the wind speed, humidity, rainfall and snowfall of the external weather of the target monitoring object is: using the deployed anemometer, humidity sensor, rain sensor and snow sensor to detect the wind speed, humidity, rainfall and snowfall of the external weather of the target monitoring object.

[0043] The vehicle information parameters include vehicle density and vehicle load.

[0044] It needs to be further explained that the specific method of obtaining the traffic flow and vehicle load of the external vehicles of the target monitoring object is: the geomagnetic sensors deployed are used to detect the number of vehicles on the target monitoring object during the detection time period, and the number is further divided by the detection time period, and the quotient is recorded as the traffic flow of external vehicles of the target monitoring object.

[0045] The target monitoring object is weighed using a weighing sensor arranged on the target monitoring object to obtain the weight of each weighing within the detection time period, which is further accumulated and the sum obtained is recorded as the vehicle load of the external vehicle of the target monitoring object.

[0046] The sea surface information parameters include water flow speed and wave height.

[0047] It needs to be further explained that the specific method of obtaining the water flow velocity and wave height of the external sea surface of the current scene where the target monitoring object is currently located is: using the deployed mechanical flow meter and wave buoy to directly detect the water flow velocity and wave height of the external sea surface of the current scene where the target monitoring object is currently located.

[0048] As a preferred feasibility example, the specific method of confirming the current meteorological scene, load scene and water scene of the target monitoring object includes: extracting the wind speed, humidity, rainfall and snowfall of the external weather of the target monitoring object, and matching them with the wind speed range, humidity range, rainfall range and snowfall range corresponding to each meteorological scene stored in the information database to obtain the current meteorological scene of the target monitoring object.

[0049] It should be further explained that the specific matching operation of the target monitoring object's current meteorological scene is: if the wind speed, humidity, rainfall and snowfall of the target monitoring object's external weather are all within the wind speed range, humidity range, rainfall range and snowfall range corresponding to a certain meteorological scene, then the meteorological scene is recorded as the target monitoring object's current meteorological scene. The principles for obtaining the target monitoring object's current load scene and water scene are the same, and will not be explained repeatedly.

[0050] The traffic flow and vehicle load of external vehicles of the target monitoring object are extracted, and they are matched with the traffic flow range and vehicle load range corresponding to each load scenario stored in the information database to obtain the current load scenario of the target monitoring object.

[0051] The water flow velocity and wave height of the external sea surface of the target monitoring object are extracted, and they are matched with the water flow velocity range and wave height range corresponding to each water body scene stored in the information database to obtain the water body scene where the target monitoring object is currently located.

[0052] Different weather scenes, different vehicle load scenes and different sea level scenes will have different impacts on the structural safety of the target monitoring object. The present invention obtains the external information parameters of the target monitoring object, and based on the external information parameters, confirms the current meteorological scene, load scene and water scene of the target monitoring object, which is beneficial to the subsequent analysis of the specific impact of the current scene of the target monitoring object, thereby facilitating the early identification of potential safety risks and providing basic support for subsequent analysis.

[0053] The external information parameter analysis module determines the influencing factors corresponding to the current scene of the target monitoring object based on the current meteorological scene, load scene and water scene of the target monitoring object, and determines the appropriate safety reference values ​​of each parameter of the health information parameters corresponding to the current scene of the target monitoring object.

[0054] As a preferred feasibility example, the specific method for determining the impact factor corresponding to the current scene of the target monitoring object includes: extracting the current meteorological scene, load scene and water scene of the target monitoring object, and determining the weight coefficients of the impact factor corresponding to the current scene of the target monitoring object corresponding to the current meteorological scene, load scene and water scene of the target monitoring object, respectively, which are recorded as , according to the calculation formula Get the corresponding impact factor of the current scene of the target monitoring object ,in They are the influencing factors corresponding to the current meteorological scene, load scene and water scene of the target monitoring object extracted from the information database.

[0055] It needs to be further explained that the specific method for determining the weight coefficient of the influencing factor corresponding to the current scene of the target monitoring object in the meteorological scene, load scene and water scene is as follows: Get the representative value of the weight coefficient of the influencing factor corresponding to the current scene of the target monitoring object in the current meteorological scene, load scene and water scene ,in They represent the representative values ​​of the current meteorological scene, load scene, and water scene of the target monitoring object. .

[0056] It should be noted that , it means that the current meteorological scene, load scene and water scene of the target monitoring object are all first-level scenes. At this time, the meteorological scene is an extreme weather scene, the load scene is a high traffic load scene, and the water scene is an active water scene.

[0057] , it means that the current meteorological scene, load scene and water scene of the target monitoring object are all second-level scenes. At this time, the meteorological scene is a medium weather scene, the load scene is a medium traffic load scene, and the water scene is a fluctuating water scene.

[0058] , it means that the current meteorological scene, load scene and water scene of the target monitoring object are all third-level scenes. At this time, the meteorological scene is a regular weather scene, the load scene is a low traffic load scene, and the water scene is a calm water scene.

[0059] when When .

[0060] when When , the scenes of the same level in the meteorological scene, load scene and water scene where the target monitoring object is currently located are recorded as the scenes of the same level where the target monitoring object is currently located, and the scenes of different levels from other scenes in the meteorological scene, load scene and water scene where the target monitoring object is currently located are recorded as the scenes of different levels where the target monitoring object is currently located. If the level of the scenes of different levels where the target monitoring object is currently located is lower than the level of the scenes of the same level where the target monitoring object is currently located, the weight coefficient of the influencing factor corresponding to the scene where the target monitoring object is currently located of the scenes of the same level where the target monitoring object is currently located is recorded as 0.4, and the weight coefficient of the influencing factor corresponding to the scene where the target monitoring object is currently located of the scenes of different levels where the target monitoring object is currently located is recorded as 0.2.

[0061] If the level of the different level scenes in which the target monitoring object is currently located is higher than the level of the scenes of the same level in which the target monitoring object is currently located, then the weight coefficient of the influencing factor corresponding to the scene in which the target monitoring object is currently located corresponding to the scenes of the same level is recorded as 0.3, and the weight coefficient of the influencing factor corresponding to the scene in which the target monitoring object is currently located corresponding to the scenes of different levels is recorded as 0.4.

[0062] when When the target monitoring object is currently located in the meteorological scene, load scene and water scene, the weight coefficients of the influencing factors corresponding to the first-level scene, the second-level scene and the third-level scene in the meteorological scene, load scene and water scene of the target monitoring object are recorded as 0.45, 0.3 and 0.25 respectively.

[0063] As a preferred feasibility example, the specific method for determining the appropriate safety reference values ​​of each parameter of the health information parameter corresponding to the current scene of the target monitoring object includes: matching the appropriate safety reference values ​​of each parameter of the health information parameter corresponding to the influencing factor of the current scene of the target monitoring object with the appropriate safety reference values ​​of each parameter of the health information parameter corresponding to the range of each influencing factor stored in the information library, and obtaining the appropriate safety reference values ​​of each parameter of the health information parameter corresponding to the influencing factor of the current scene of the target monitoring object, and recording it as the appropriate safety reference values ​​of each parameter of the health information parameter corresponding to the current scene of the target monitoring object.

[0064] It needs to be further explained that the appropriate safety reference values ​​of the parameters specifically include appropriate safety reference values ​​of strain, appropriate safety reference values ​​of lateral displacement, appropriate safety reference values ​​of vibration frequency, appropriate safety reference values ​​of amplitude, appropriate safety reference values ​​of settlement distance, appropriate safety reference values ​​of inclination and appropriate safety reference values ​​of corrosion degree.

[0065] The present invention helps to timely discover whether the structure of the target monitoring object is in an abnormal stress or unfavorable environmental state by determining the appropriate safety reference values ​​of various parameters of the health information parameters corresponding to the current scene of the target monitoring object, providing a basis for formulating an accurate maintenance plan, so that reinforcement and repair can be carried out in time to prevent structural damage.

[0066] The health information parameter parsing module is used to obtain the health information parameters of the current scene of the target monitoring object, including the main beam health information parameters, the bridge deck health information parameters and the pier health information parameters, analyze the health coefficients of each main beam, the bridge deck health coefficient and the pier health coefficients of the current scene of the target monitoring object, and then obtain the safety level warning line of the current scene of the target monitoring object, including the first safety warning line, the second safety warning line and the third safety warning line.

[0067] As a preferred feasibility example, the main beam health information parameters of the target monitoring object in the current scene include the strain, lateral displacement and crack information of each measuring point of each main beam.

[0068] In a specific example, the crack information includes but is not limited to the crack length and crack width of each crack.

[0069] It needs to be further explained that the specific method of obtaining the strain and lateral displacement of each measuring point of each main beam in the scene where the target monitoring object is currently located is: using the strain gauges arranged at each measuring point to directly measure the strain of each measuring point of each main beam in the scene where the target monitoring object is currently located, and using the arranged laser displacement sensors to directly measure the lateral displacement of each main beam in the scene where the target monitoring object is currently located.

[0070] It should be noted that the method for obtaining the measurement points of each main beam in the scene where the target monitoring object is currently located is: dividing the upper cross-section of each main beam in the scene where the target monitoring object is currently located in the form of a plane grid, and obtaining the intersection points of the plane grid of the upper cross-section of each main beam in the scene where the target monitoring object is currently located, and recording them as the measurement points of each main beam in the scene where the target monitoring object is currently located.

[0071] The specific method for obtaining the crack length and crack width of each crack of each main beam in the scene where the target monitoring object is currently located is: using the deployed camera to shoot each main beam in the scene where the target monitoring object is currently located, to obtain the picture of each main beam in the scene where the target monitoring object is currently located, and further using image processing software to analyze it to obtain the crack length and crack width of each crack of each main beam in the scene where the target monitoring object is currently located.

[0072] It should be noted that the specific method for obtaining the crack width of each crack is to obtain the transverse widths of each crack, screen out the maximum transverse width of each crack, and record it as the crack width of each crack. Figure 3 shown.

[0073] The bridge deck health information parameters of the scene where the target monitoring object is currently located include the vibration frequency and amplitude of each detection position.

[0074] In a specific example, the detection positions include but are not limited to the locations of the main beams and the piers.

[0075] It needs to be further explained that the specific method of obtaining the vibration frequency and amplitude of each detection position of the bridge deck in the scene where the target monitoring object is currently located is: using the vibration sensors arranged at each detection position to directly measure the vibration frequency and amplitude of each detection position of the bridge deck in the scene where the target monitoring object is currently located.

[0076] The pier health information parameters of the scene where the target monitoring object is currently located include the settlement distance, inclination and corrosion degree of each pier.

[0077] It needs to be further explained that the specific method of obtaining the settlement distance and inclination of each bridge pier in the scene where the target monitoring object is currently located is: using the deployed settlement observation piles and inclinometers to directly measure the settlement distance and inclination of each bridge pier in the scene where the target monitoring object is currently located.

[0078] The specific method for obtaining the corrosion degree of each bridge pier in the scene where the target monitoring object is currently located is as follows: using the deployed camera to shoot the part of each bridge pier in the scene where the target monitoring object is currently located that contacts the sea surface, to obtain the image of each bridge pier in the scene where the target monitoring object is currently located, and then using image analysis software to analyze it, to obtain the discoloration area and the peeling area in the image of each bridge pier in the scene where the target monitoring object is currently located, which are recorded as ,in , is the number of each bridge pier, is the number of bridge piers, and the corrosion degree of each bridge pier in the current scene of the target monitoring object is analyzed ,in They are respectively the permissible discoloration area and permissible spalling area extracted from the information database under the conditions that do not affect the use of the bridge piers of the target monitoring object.

[0079] As a preferred feasibility example, the specific analysis method of the health coefficient of each main beam in the scene where the target monitoring object is currently located includes: extracting the strain and lateral displacement of each measuring point of each main beam in the scene where the target monitoring object is currently located, and recording them as ,in , is the number of each main beam, is the number of main beams, , is the number of each measuring point, is the number of measurement points.

[0080] Extract the crack information of each main beam in the scene where the target monitoring object is currently located, and obtain the crack evaluation index of each main beam in the scene where the target monitoring object is currently located. .

[0081] It should be further explained that the specific method of obtaining the crack evaluation index of each main beam in the scene where the target monitoring object is currently located is: extract the crack length and crack width of each crack of each main beam in the scene where the target monitoring object is currently located, and record them as ,in , is the number of each crack, The crack number is the crack evaluation index of each main beam of the target monitoring object. ,in They are respectively the allowable crack length and allowable crack width of the main beam of the set target monitoring object.

[0082] Analyze the health coefficient of each main beam in the current scene of the target monitoring object ,in are the appropriate safety reference values ​​for strain and lateral displacement, respectively. They are the minimum values ​​set to prevent the denominator from being 0, and their units are Newton and meter respectively.

[0083] As a preferred feasibility example, the specific analysis method of the bridge deck health coefficient of the target monitoring object currently located in the scene includes: extracting the vibration frequency and amplitude of each detection position of the bridge deck of the target monitoring object currently located in the scene, respectively recorded as ,in , is the number of each detection position, To detect the number of locations, analyze the bridge deck health factor of the target monitoring object in the current scene ,in They are the suitable safety reference value for vibration frequency and the suitable safety reference value for amplitude, They are the minimum values ​​set to prevent the denominator from being 0, and their units are Hertz and meter respectively.

[0084] As a preferred feasibility example, the specific analysis method of the health coefficient of each bridge pier in the scene where the target monitoring object is currently located includes: extracting the settlement distance, inclination and corrosion degree of each bridge pier in the scene where the target monitoring object is currently located, and recording them as ,in , is the number of each bridge pier, is the number of bridge piers, and the health coefficient of each bridge pier in the current scene of the target monitoring object is analyzed ,in They are the appropriate safety reference value for settlement distance, the appropriate safety reference value for inclination and the appropriate safety reference value for corrosion degree. They are the minimum values ​​set to prevent the denominator from being 0, and their units are meter, degree, and dimensionless respectively.

[0085] As a preferred feasibility example, the specific analysis method of the safety level warning line of the scene currently located by the target monitoring object includes: according to the analysis formula Get the security index of the current scene of the target monitoring object , and match it with the safety indicator threshold range of each safety level warning line stored in the information database to obtain the safety level warning line of the current scene of the target monitoring object.

[0086] The present invention analyzes the health coefficients of the main beams, the bridge deck and the piers in the current scene of the target monitoring object, and then obtains the safety level warning line of the current scene of the target monitoring object, so as to understand the safety status of the target monitoring object in the current scene in real time, thereby facilitating the timely discovery of potential safety hazards, taking traffic control or maintenance measures, and avoiding accidents. In addition, the determination of the safety level warning line can provide clear risk warning standards, so that maintenance personnel and managers can make timely and effective responses to ensure the safe passage of the bridge.

[0087] The security management module is used to perform security management on the scene where the target monitoring object is currently located based on the security level warning warning line of the scene where the target monitoring object is currently located.

[0088] As a preferred feasibility example, the specific operation of performing security management on the current scene of the target monitoring object includes: extracting the security level warning line of the current scene of the target monitoring object, and if it is a first-level security warning line, strengthening the detection frequency of the target monitoring object.

[0089] If it is a second-level safety warning line, an emergency inspection procedure for the target monitored object will be initiated to find the cause and take measures.

[0090] If it is a safety level 3 warning cordon, the passage of the target monitored object will be stopped immediately, and a comprehensive inspection will be carried out until the problem is resolved.

[0091] The information database is used to store the allowable discoloration area and the allowable peeling area under the conditions that do not affect the use of the target monitored object, store the wind speed range, humidity range, rainfall range and snowfall range corresponding to each meteorological scene, store the traffic flow range and vehicle load range corresponding to each load scene, store the water flow velocity range and wave height range corresponding to each water scene, store the influencing factors corresponding to the meteorological scene, load scene and water scene where the target monitored object is currently located, store the appropriate safety reference values ​​of each parameter of the health information parameters corresponding to each influencing factor range, and store the safety indicator threshold range of each safety level warning warning line.

[0092] The present invention performs security management on the scene in which the target monitoring object is currently located, which helps to keep the target monitoring object in a good health state at all times and can effectively extend its service life.

[0093] The above contents are merely examples and explanations of the concept of the present invention. Those skilled in the art may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined by the present invention, they shall all fall within the protection scope of the present invention.

Claims

1. A multi-scenario intelligent security monitoring system, characterized by: include: The external information parameter analysis module is used to detect the external environment of the target monitoring object, obtain the external information parameters of the target monitoring object, and based on them, confirm the current meteorological scene, load scene and water scene of the target monitoring object; The external information parameter parsing module determines the influencing factors corresponding to the current scene of the target monitoring object based on the current meteorological scene, load scene and water scene of the target monitoring object, and determines the appropriate safety reference values ​​of the parameters of the health information parameters corresponding to the current scene of the target monitoring object; The health information parameter parsing module is used to obtain the health information parameters of the current scene of the target monitoring object, including the health information parameters of the main beam, the health information parameters of the bridge deck and the health information parameters of the piers, analyze the health coefficients of the main beams, the health coefficients of the bridge deck and the health coefficients of the piers in the current scene of the target monitoring object, and then obtain the safety level warning warning line of the current scene of the target monitoring object, including the first safety warning warning line, the second safety warning warning line and the third safety warning warning line; A security management module is used to perform security management on the scene where the target monitoring object is currently located based on the security level warning line of the scene where the target monitoring object is currently located; The information database is used to store the permissible discoloration area and permissible spalling area under the conditions that do not affect the use of the target monitored object, store the wind speed range, humidity range, rainfall range and snowfall range corresponding to each meteorological scene, store the traffic volume range and vehicle load range corresponding to each load scene, store the water flow velocity range and wave height range corresponding to each water scene, store the influencing factors corresponding to the current meteorological scene, load scene and water scene of the target monitored object, store the appropriate safety reference values ​​of each parameter of the health information parameters corresponding to each influencing factor range, and store the safety indicator threshold range of each safety level warning warning line.

2. A multi-scenario intelligent safety monitoring system according to claim 1, characterized in that: The external information parameters of the target monitoring object include weather information parameters, vehicle information parameters and sea surface information parameters; Wherein, the weather information parameters include wind speed, humidity, rainfall and snowfall; The vehicle information parameters include vehicle flow and vehicle load; The sea surface information parameters include water flow speed and wave height; The main beam health information parameters of the target monitoring object in the current scene include the strain, lateral displacement and crack information of each measuring point of each main beam; The bridge deck health information parameters of the scene where the target monitoring object is currently located include the vibration frequency and amplitude of each detection position; The pier health information parameters of the scene where the target monitoring object is currently located include the settlement distance, inclination and corrosion degree of each pier.

3. A multi-scenario intelligent safety monitoring system according to claim 2, characterized in that: The specific method of confirming the current meteorological scene, load scene and water scene of the target monitoring object includes: Extract the wind speed, humidity, rainfall and snowfall of the external weather of the target monitoring object, and match them with the wind speed range, humidity range, rainfall range and snowfall range corresponding to each meteorological scene stored in the information database to obtain the current meteorological scene of the target monitoring object; Extract the traffic flow and vehicle load of external vehicles of the target monitoring object, match them with the traffic flow range and vehicle load range corresponding to each load scenario stored in the information database, and obtain the current load scenario of the target monitoring object; The water flow velocity and wave height of the external sea surface of the target monitoring object are extracted, and they are matched with the water flow velocity range and wave height range corresponding to each water body scene stored in the information database to obtain the water body scene where the target monitoring object is currently located.

4. A multi-scenario intelligent safety monitoring system according to claim 3, characterized in that: The specific method for determining the impact factor corresponding to the scene where the target monitoring object is currently located includes: Extract the current meteorological scene, load scene and water scene of the target monitoring object, and determine the weight coefficients of the influencing factors corresponding to the current scene of the target monitoring object, load scene and water scene, which are recorded as , according to the calculation formula Get the corresponding impact factor of the current scene of the target monitoring object ,in They are the influencing factors corresponding to the current meteorological scene, load scene and water scene of the target monitoring object extracted from the information database.

5. A multi-scenario intelligent safety monitoring system according to claim 4, characterized in that: The specific method for determining the appropriate safety reference value of each parameter of the health information parameter corresponding to the current scene of the target monitoring object includes: Match the influencing factors corresponding to the current scene of the target monitoring object with the appropriate safety reference values ​​of each parameter of the health information parameters corresponding to the range of each influencing factor stored in the information database, and obtain the appropriate safety reference values ​​of each parameter of the health information parameters corresponding to the influencing factors corresponding to the current scene of the target monitoring object, and record them as the appropriate safety reference values ​​of each parameter of the health information parameters corresponding to the current scene of the target monitoring object.

6. A multi-scenario intelligent safety monitoring system according to claim 2, characterized in that: The specific analysis method of the health coefficient of each main beam in the scene where the target monitoring object is currently located includes: Extract the strain and lateral displacement of each measuring point of each main beam in the current scene of the target monitoring object, and record them as ,in , is the number of each main beam, is the number of main beams, , is the number of each measuring point, is the number of measurement points; Extract the crack information of each main beam in the scene where the target monitoring object is currently located, and obtain the crack evaluation index of each main beam in the scene where the target monitoring object is currently located. ; Analyze the health coefficient of each main beam in the current scene of the target monitoring object ,in are the appropriate safety reference values ​​for strain and lateral displacement, respectively. They are the minimum values ​​set to prevent the denominator from being 0, and their units are Newton and meter respectively.

7. A multi-scenario intelligent safety monitoring system according to claim 6, characterized in that: The specific analysis method of the bridge deck health coefficient of the current scene of the target monitoring object includes: Extract the vibration frequency and amplitude of each detection position of the bridge deck where the target monitoring object is currently located, and record them as ,in , is the number of each detection position, To detect the number of locations, analyze the bridge deck health factor of the target monitoring object in the current scene ,in They are the suitable safety reference value for vibration frequency and the suitable safety reference value for amplitude, They are the minimum values ​​set to prevent the denominator from being 0, and their units are Hertz and meter respectively.

8. A multi-scenario intelligent safety monitoring system according to claim 7, characterized in that: The specific analysis method of the health coefficient of each bridge pier in the scene where the target monitoring object is currently located includes: Extract the settlement distance, inclination and corrosion degree of each bridge pier in the current scene of the target monitoring object, and record them as ,in , is the number of each bridge pier, is the number of bridge piers, and the health coefficient of each bridge pier in the current scene of the target monitoring object is analyzed ,in They are the appropriate safety reference value for settlement distance, the appropriate safety reference value for inclination and the appropriate safety reference value for corrosion degree. They are the minimum values ​​set to prevent the denominator from being 0, and their units are meter, degree and dimensionless respectively.

9. A multi-scenario intelligent safety monitoring system according to claim 8, characterized in that: The specific analysis method of the safety level warning line of the scene where the target monitoring object is currently located includes: According to the analytical formula Get the security index of the current scene of the target monitoring object , and match it with the safety indicator threshold range of each safety level warning line stored in the information database to obtain the safety level warning line of the current scene of the target monitoring object.

10. The multi-scenario intelligent security monitoring system according to claim 1, characterized in that: The specific operations of performing security management on the current scene of the target monitoring object include: Extract the safety level warning line of the scene where the target monitoring object is currently located. If it is a safety level 1 warning line, the detection frequency of the target monitoring object is strengthened; If it is a safety level 2 warning line, an emergency inspection procedure will be initiated for the target monitored object to find out the cause and take measures; If it is a safety level 3 warning cordon, the passage of the target monitored object will be stopped immediately, and a comprehensive inspection will be carried out until the problem is resolved.

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