Bridge structure monitoring sensor device selection and arrangement method and device

Abstract

The application discloses a bridge structure monitoring sensor device selection and arrangement method and device, which comprises the following steps: dividing the monitoring content of a bridge structure into several levels and giving different weight coefficients to the levels; classifying the monitoring content of the bridge structure according to environment, action, structure response and structure change, and using I, A, R and C to respectively represent the monitoring content importance degree vectors; grading the sensor performance parameters and giving different scores to each grade; for multiple alternative type sensors of the same monitoring content of the bridge, calculating the normalized value of the mth performance parameter of each alternative sensor as a basic parameter; matching the importance degree of different monitoring contents of the bridge with the overall performance parameters of the sensors according to engineering application conditions to obtain applicable sensor types. The application has important significance for improving the reliability of monitoring data and reasonably controlling the life cycle cost of the monitoring sensor device.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of bridge structure sensor selection, and particularly relates to a bridge structure monitoring sensor device selection and arrangement method and device. BACKGROUND

[0002] Bridge structure monitoring is of great significance to ensure the safe operation of bridge structures. Acceleration, displacement and other monitoring sensors are the basis for accurately and efficiently obtaining monitoring data. Studies have shown that the cost of sensors in the monitoring system currently accounts for about 40-50%. If the bridge structure monitoring sensor selection is improper, the later operation and maintenance costs will be high, and even a large number of sensors need to be replaced. Therefore, at the initial stage of bridge structure construction, selecting appropriate monitoring sensors is of great significance to improve the reliability of monitoring data and reasonably control the life cycle cost of monitoring sensors.

[0003] The published patent CN107330264B discloses a bridge monitoring data reliability verification method. First, select a certain type of sensor at a symmetric position for a fixed period of time and continuous monitoring data. Preprocess the actual monitoring data to obtain two sets of monitoring data with a mean value of 0. Calculate the similarity of the two sets of monitoring data. If the similarity meets the requirements, the monitoring data is considered to have high reliability. If the monitoring data similarity does not meet the requirements, select monitoring data at symmetric positions of different types of sensors and adjacent positions of the same type of sensors, respectively preprocess the data and calculate the similarity index. If the similarity of each set of monitoring data does not meet the requirements, it is considered that the structure is abnormal and special inspection is needed. If there is a set of monitoring data with high similarity, it is considered that the monitoring data at the concerned position is not reliable. Using this method can verify the reliability of bridge monitoring data, and provide a reliable data basis for damage identification and state evaluation research.

[0004] The published patent CN114329929A discloses an environmental perception sensor selection method, device, electronic equipment and storage medium. The perception sensor is arranged on a moving object. The method includes: obtaining a plurality of sensor parameter information corresponding to each perception sensor, constructing a first candidate set of each perception sensor based on the plurality of sensor parameter information; obtaining the performance constraint condition of each perception sensor according to the motion information and environmental information of the moving object, and obtaining the cost constraint condition of each perception sensor; filtering sensor parameter information that meets the corresponding performance constraint condition and cost constraint condition in the first candidate set of each perception sensor to obtain its second candidate set; and selecting optimal sensor parameter information in the second candidate set of each perception sensor according to a preset optimization rule to obtain its selection result. The present application can select a sensor combination that meets the functional requirements of the information processing system and has high cost performance, and has high selection efficiency.

[0005] The currently published invention patents mainly focus on the layout of bridge monitoring sensor positions, and there is no patent on the selection of bridge monitoring sensor types. SUMMARY

[0006] An object of embodiments of the present application is to address at least the above problems and / or deficiencies and to provide at least the advantages described below.

[0007] Another object of the present application is to provide a bridge structure monitoring sensor device selection and arrangement method and device.

[0008] To this end, the technical solution provided by the present application is:

[0009] A bridge structure monitoring sensor device selection and arrangement method, comprising:

[0010] The monitoring content of the bridge structure is divided into several levels, and each monitoring index is respectively given a different weight coefficient according to the size of its influence on the safety of the structure;

[0011] The monitoring content of the bridge structure is classified according to the environment, action, structural response and structural change, and I, A, R and C are used to represent the importance degree vectors of the structural monitoring content of the environment, action, structural response and structural change, respectively;

[0012] The sensor performance parameters are classified, and each classification is given a different score;

[0013] For multiple alternative types of sensors for the same monitoring content of the bridge, the normalized value of the mth performance parameter of each alternative sensor is calculated

[0014] The normalized overall performance parameter of the alternative sensor is used as the basic parameter for sensor device selection and arrangement;

[0015] The engineering application is analyzed, the importance of the different monitoring contents of the bridge and the overall performance parameter of the sensor are matched, and the applicable sensor type is obtained.

[0016] Preferably, the normalized value of the mth performance parameter of each alternative sensor is calculated by the following formula in the bridge structure monitoring sensor device selection and arrangement method

[0017] S m =s m / max[s m ] m=1,2,…,n (8)

[0018] The mean value of s m is taken as the overall performance parameter of the alternative sensor,

[0019]

[0020] Where s m is the score of the mth performance parameter classification of the candidate sensor, max[s m ] is the maximum score of the mth performance parameter classification, and n is the number of sensor performance parameters.

[0021] Preferably, in the bridge structure monitoring sensor device selection and arrangement method, the monitoring content importance vectors I, A, R and C are calculated according to the following formulas:

[0022] I=(i1 i2…i m ) T (1)

[0023] A=(a1 a2…a m ) T (2)

[0024] R=(r1 r2…r m ) T (3)

[0025] C=(c1 c2…c m ) T (4)

[0026] Among them, i m Indicates the importance weight coefficient of the mth environmental monitoring content, a m Indicates the weight coefficient of the importance of the mth monitoring content, r m Indicates the importance weight coefficient of the mth structural response monitoring content, c m Represents the importance weight coefficient of the mth structural change monitoring content.

[0027] Preferably, in the method for selecting and arranging the bridge structure monitoring sensor device, the monitoring content of the bridge structure is divided into three levels, and different weight coefficients of 3, 2, and 1 are assigned respectively.

[0028] Preferably, in the bridge structure monitoring sensor device selection and arrangement method, the importance weight coefficients of different monitoring contents of the bridge structure and the overall performance parameters of the sensor are matched as follows:

[0029]

[0030] A bridge structure monitoring sensor device selection and arrangement device, comprising:

[0031] The monitoring content importance degree module is used for dividing the monitoring content of the bridge structure into three levels, and different weight coefficients are respectively given to each monitoring index according to the size of the influence on the structural safety; and the monitoring content of the bridge structure is classified according to the environment, action, structural response and structural change, and I, A, R and C respectively represent the environment, action, structural response and structural change of the structural monitoring content importance degree vector;

[0032] The basic parameter module of the selection and arrangement of the sensing device is used for grading the performance parameters of the sensor, and different scores are respectively given to each grade; and the normalized value of the mth performance parameter of each alternative sensor is calculated for the multiple alternative type sensors of the same monitoring content of the bridge structure The normalized alternative sensor overall performance parameter is used as the basic parameter of the selection and arrangement of the sensing device;

[0033] The matching module is used for analyzing the engineering application situation, matching the monitoring content importance degree of the bridge structure and the overall performance parameter of the sensor, and obtaining the applicable sensor type.

[0034] Preferably, the normalized value of the mth performance parameter of each alternative sensor is calculated by the following formula in the bridge structure monitoring sensing device selection and arrangement device

[0035] S m =s m / max[s m ] m=1,2,…,n (8)

[0036] The average value of s m is taken as the overall performance parameter of the alternative sensor,

[0037]

[0038] In the formula, s m is the score of the mth performance parameter grading of the alternative sensor, max[s m ] is the maximum score of the mth performance parameter grading, and n is the number of sensor performance parameters.

[0039] Preferably, the monitoring content importance degree vectors I, A, R and C are respectively calculated according to the following formula in the bridge structure monitoring sensing device selection and arrangement device:

[0040] I=(i1 i2…i m ) T (1)

[0041] A=(a1 a2…a m ) T (2)

[0042] R=(r1 r2…r m ) T (3)

[0043] C=(c1 c2…c m ) T (4)

[0044] Wherein, i m m represents the importance degree weight coefficient of the mth environment monitoring content, a m m represents the importance degree weight coefficient of the mth action monitoring content, r m m represents the importance degree weight coefficient of the mth structure response monitoring content, c m m represents the importance degree weight coefficient of the mth structure change monitoring content.

[0045] The embodiment of the present application at least includes the following beneficial effects:

[0046] According to the method of the present application, the appropriate monitoring sensor device is selected in the initial stage of bridge structure construction, so that the operation and maintenance cost in the later stage can be greatly reduced, and the condition of replacing a large number of sensors can be avoided.

[0047] Other advantages, objects and features of the embodiment of the present application will be embodied partly through the following description, and will be understood by those skilled in the art through research and practice of the embodiment of the present application. BRIEF DESCRIPTION OF DRAWINGS

[0048] Figure 1 It is a flow chart of the bridge structure monitoring sensor device selection and arrangement method in one embodiment of the present application.

[0049] Figure 2 It is a sensor static parameter schematic diagram in one embodiment of the present application.

[0050] Figure 3 It is an acceleration sensor performance parameter normalization result diagram in one embodiment of the present application.

[0051] Figure 4 It is an acceleration sensor overall performance parameter diagram in one embodiment of the present application.

[0052] Figure 5 It is a displacement sensor performance parameter normalization result diagram in one embodiment of the present application.

[0053] Figure 6FIG. 1 is a diagram showing overall performance parameters of a displacement sensor in one embodiment of the present invention. DETAILED DESCRIPTION

[0054] The embodiments of the present invention are further described in detail below with reference to the accompanying drawings so that those skilled in the art can implement the invention with reference to the description.

[0055] A method for selecting and arranging bridge structure monitoring sensor devices, such as Figure 1 Shown, including:

[0056] The monitoring content of bridge structures is divided into several levels, and each monitoring indicator is assigned a different weight coefficient according to its impact on structural safety;

[0057] The monitoring contents of the bridge structure are classified according to the environment, action, structural response and structural change, and the importance vectors of the structural monitoring contents of the environment, action, structural response and structural change are represented by I, A, R and C respectively. As an optimal method, the importance vectors of the monitoring contents I, A, R and C are calculated according to the following formulas:

[0058] I=(i1 i2…i m ) T (1)

[0059] A=(a1 a2…a m ) T (2)

[0060] R=(r1 r2…r m ) T (3)

[0061] C=(c1 c2…c m ) T (4)

[0062] Among them, i m Indicates the importance weight coefficient of the mth environmental monitoring content, a m Indicates the weight coefficient of the importance of the mth monitoring content, r m Indicates the importance weight coefficient of the mth structural response monitoring content, c m Represents the importance weight coefficient of the mth structural change monitoring content.

[0063] The sensor performance parameters are graded and each grade is assigned a different score;

[0064] For multiple candidate sensors of the same monitoring content of the bridge, calculate the normalized value of the mth performance parameter of each candidate sensor As a preference, the normalized value of the mth performance parameter of each candidate sensor is calculated by the following formula:

[0065] S m =s m / max[s m ] m=1,2,…,n (8)

[0066] Take s m The mean value of is taken as the overall performance parameter of the alternative sensor.

[0067]

[0068] Where s m is the score of the mth performance parameter classification of the candidate sensor, max[s m ] is the maximum score of the mth performance parameter classification, and n is the number of sensor performance parameters.

[0069] The normalized overall performance parameters of the candidate sensors are used as the basic parameters for the selection and arrangement of the sensing devices;

[0070] Analyze the engineering application situation, match the importance of different bridge monitoring contents with the overall performance parameters of the sensor, and determine the applicable sensor type.

[0071] In the above scheme, as a preference, the monitoring content of the bridge structure is divided into three levels, and different weight coefficients are assigned to each level, namely 3, 2, and 1. The monitoring content can also be divided into other levels and different weight coefficients can be assigned as needed.

[0072] In the above scheme, as a preferred embodiment, the importance weight coefficients of different monitoring contents of the bridge structure and the overall performance parameters of the sensor are matched as follows:

[0073]

[0074] The overall performance parameters of the sensor can also be divided into other numerical ranges as needed to meet the actual needs of bridge structure construction.

[0075] A bridge structure monitoring sensor device selection and arrangement device, comprising:

[0076] The bridge structure monitoring content importance module is used to divide the bridge structure monitoring content into three levels. Each monitoring indicator is assigned a different weight coefficient according to its impact on structural safety. The bridge structure monitoring content is classified according to environment, action, structural response and structural change. I, A, R and C are used to represent the structural monitoring content importance vectors of environment, action, structural response and structural change respectively. As an optimal method, the monitoring content importance vectors I, A, R and C are calculated according to the following formulas:

[0077] I=(i1 i2…i m ) T (1)

[0078] A=(a1 a2…a m ) T (2)

[0079] R=(r1 r2…r m ) T (3)

[0080] C=(c1 c2…c m ) T (4)

[0081] Among them, i m Indicates the importance weight coefficient of the mth environmental monitoring content, a m Indicates the weight coefficient of the importance of the mth monitoring content, r m Indicates the importance weight coefficient of the mth structural response monitoring content, c m Represents the importance weight coefficient of the mth structural change monitoring content.

[0082] The basic parameter module for sensor device selection and layout is used to classify sensor performance parameters, assigning different scores to each class; and for multiple alternative types of sensors with the same monitoring content of the bridge structure, calculate the normalized value of the mth performance parameter of each alternative sensor The normalized overall performance parameters of the candidate sensors are used as the basic parameters for the selection and arrangement of the sensor device; preferably, the normalized value of the mth performance parameter of each candidate sensor is calculated by the following formula:

[0083] S m =s m / max[s m ] m=1,2,…,n (8)

[0084] Take s m The mean value of is taken as the overall performance parameter of the alternative sensor.

[0085]

[0086] Where s m is the score of the mth performance parameter classification of the candidate sensor, max[s m ] is the maximum score of the mth performance parameter classification, and n is the number of sensor performance parameters.

[0087] The matching module is used for analyzing engineering application conditions, matching the importance of different monitoring contents of the bridge structure with overall performance parameters of the sensor, and obtaining a suitable sensor type.

[0088] The following provides detailed descriptions and a specific implementation scenario to further illustrate the bridge structure monitoring sensor device selection and arrangement method provided by the embodiments of the present application.

[0089] The monitoring contents of the bridge structure include four aspects of environment, action, structural response and structural change, wherein the environment monitoring includes temperature, humidity, rainfall and the like, the action monitoring includes vehicle load, wind speed, wind direction, structural temperature and the like, the structural response monitoring includes displacement, rotation angle, strain and the like, and the structural change monitoring includes foundation scouring, crack, corrosion and the like. According to different bridge structure forms and monitoring targets, the importance of different monitoring contents in the monitoring system is different. The importance of the monitoring contents of the environment and action factors which have greater influence on the safety state of the bridge structure, and the structural response and structural change which are closely related to the structural safety, is greater, while the importance of the monitoring contents of the environment, action, structural response and structural change which have smaller influence on the structural safety is smaller. The general process of the sensor device selection is as shown in Figure 1

[0090] 1. Importance level of monitoring content

[0091] The importance of different monitoring contents for evaluating the running state of the structure is different. The important monitoring contents of the main components need to be specially concerned, and the collected data needs to be stable and reliable. Therefore, the monitoring contents of the bridge structure are classified according to the environment, action, structural response and structural change, and the monitoring contents of the bridge structure are divided into three levels. Each monitoring index is determined according to the size of the influence on the structural safety, and is respectively given a weight coefficient of 3, 2 and 1. The monitoring contents and the weight coefficients are shown in Table 1.

[0092] Table 1. Monitoring contents and weight coefficients of the bridge structure (cable-stayed bridge)

[0093]

[0094]

[0095] In order to express the importance of each monitoring content in the environment, action, structural response and structural change, I, A, R and C are respectively used to represent the importance vectors of the environment, action, structural response and structural change, that is,

[0096] I = (i1 i2…i m ) T (1)

[0097] ​A = (a1a2...am) (1) m ) T (2)

[0098] R = (r1r2...rm) (3) m ) T (3)

[0099] C = (c1c2...cm) (4) m ) T (4)

[0100] In the above formula, i m represents the importance degree weight coefficient of the mth environmental monitoring content, a m represents the importance degree weight coefficient of the mth action monitoring content, r m represents the importance degree weight coefficient of the mth structural response monitoring content, and c m represents the importance degree weight coefficient of the mth structural change monitoring content. The monitoring content importance degree vectors I, A, R and C can be used as basic parameters for selection and optimization of the arrangement of the sensing device.

[0101] 2. Sensor performance parameters

[0102] (1) Precision

[0103] Precision, also known as accuracy, indicates the degree of random error in the measurement result. Random error refers to the component of measurement error that changes in an unpredictable manner in the process of multiple measurements of the same observed quantity. The dispersion of n measurement results of the same observed quantity can be represented by parameter S, which is called the measurement standard deviation, i.e.

[0104]

[0105] where y i is the ith measurement value, is the arithmetic mean of n measurement results:

[0106]

[0107] (2) Correctness

[0108] Correctness indicates the degree of system error in the measurement result. System error refers to the component of measurement error that remains constant or changes in a predictable manner in the process of multiple measurements of the same observed quantity.

[0109] (3) Accuracy

[0110] Accuracy, also called precision, is the degree of conformity between a measured value and a true value (conventionally). The difference between the two is called absolute error, and the ratio of the absolute error to the true value is called relative error. Accuracy reflects the combination of systematic error and random error in a measurement structure. For sensors of 0.1, 0.5, 1.0 grade, it means that their accuracy is 0.1%, 0.5% and 1%, respectively.

[0111] (4) Sensitivity

[0112] Sensitivity is the change in response of a sensor divided by the change in stimulus, usually with respect to time.

[0113] (5) Stability

[0114] Stability is the ability of a sensor to maintain its characteristics constant under specified conditions, usually with respect to time.

[0115] (6) Discrimination

[0116] Discrimination is the ability of a sensor to respond to small changes in stimulus. Discrimination threshold is the minimum change in stimulus that produces a perceptible change in response of a sensor.

[0117] (7) Resolution

[0118] Resolution is the ability of an indicating device of a sensor to distinguish between closely adjacent values. It is generally accepted that the resolution of an analog indicating device is half the scale interval, and that of a digital indicating device is one digit of the last significant digit.

[0119] The meanings of static parameters of a sensor are shown in Table 1. Figure 2

[0120] (8) Dynamic response characteristics

[0121] The change in response amplitude of a sensor under different frequencies of stimulus. The upper limit frequency f H (high frequency end) and the lower limit frequency f L (low frequency end) are usually called the upper frequency and the lower frequency, respectively, at which the amplitude drops to 70% of the maximum value. The difference between the two is called the bandwidth BW. If the bandwidth is not based on the amplitude dropping to 70%, for example, based on the amplitude dropping to 90%, it needs to be marked. The upper and lower frequencies f H and the rise time t r have a certain relationship, which can be expressed as

[0122] f H t r = 0.35-0.45 (7)

[0123] ​If the frequency response exhibits a peak, the frequency at which the peak occurs is often referred to as the resonant frequency.

[0124] 2. Sensor performance parameter matrix

[0125] In determining the installation location of the sensing device, the selection of sensor type and parameters is also very critical, involving the accuracy of data acquisition, power consumption, long-term stability and environmental adaptability. Sensor selection needs to consider the measurement conditions, sensor performance, use conditions, maintenance of four aspects, and consider the factors such as convenient operation. For sensors and data acquisition equipment laid in the field, the monitoring range, resolution, accuracy, sensitivity, dynamic response characteristics, long-term stability, and environmental adaptability should be met to ensure the accuracy and timeliness of data acquisition.

[0126] The sensor performance parameters are classified, and different scores are assigned to each classification. The range, resolution, accuracy, sensitivity, dynamic response characteristics, long-term stability, and environmental adaptability of the sensor are quantitatively analyzed. The specific classification and its description are shown in Table 2 below.

[0127] Table 2 Sensor performance parameter classification

[0128]

[0129]

[0130] In Table 2 above, sensors that do not meet the requirements of each performance parameter of the sensor should be excluded first. Here, the selection is based on the premise that each parameter of the sensor meets the basic requirements.

[0131] For multiple alternative types of sensors for the same monitoring content, first determine the classification and score of each performance parameter of each sensor according to Table 2. To facilitate comparison of the performance of each parameter, the normalized value of the mth performance parameter of each alternative sensor can be calculated by the following formula

[0132] S m = s m / max[s m ] m = 1, 2, …, n (8)

[0133] In the formula, s m is the score of the mth performance parameter classification of the alternative sensor, max[s m ] is the maximum score of the mth performance parameter classification, and n is the number of sensor performance parameters.

[0134] In order to compare the overall performance of the alternative sensor, the average value of s m is taken as the overall performance parameter of the alternative sensor, that is,

[0135]

[0136] The normalized overall performance parameters of the alternative sensors can serve as the basic parameters for sensor selection and optimal arrangement.

[0137] 3. Matching of monitoring content and sensors

[0138] According to the importance level of the monitoring content, a suitable sensor type is selected, which is an important guarantee for meeting the technical requirements of monitoring and long-term reliability. According to the importance level analysis of the monitoring content, the importance vectors I, A, R and C of the environment, action, structural response and structural change respectively represent the importance level of each monitoring content in the environment, action, structural response and structural change. The normalized sensor performance parameter matrix represents the status of the overall performance parameters of the sensors. For different levels of monitoring content, different levels of sensor types should be selected. Through engineering application analysis, the weight coefficients of different importance levels of monitoring content and the overall performance parameters of the sensors can be matched according to Table 3.

[0139] Table 3 Sensor performance parameter selection and matching table

[0140]

[0141] When arranging and selecting structural response sensors for a certain cable-stayed bridge, displacement and acceleration sensors need to be arranged at positions such as the main beam, support, beam end and tower top. Through structural performance analysis, the importance level of the structural monitoring content is determined, and the importance vectors of the vertical, horizontal and longitudinal acceleration of the main beam, the horizontal two-way acceleration of the tower top, and the vibration acceleration sensor position of the stay cable are

[0142] R a =(3 3 2 3 3) T (10)

[0143] The importance vectors of the displacement sensors arranged for the vertical and horizontal displacement of the main beam, the displacement of the support, the longitudinal displacement of the beam end and the displacement of the tower top are

[0144] R d =(3 2 3 3 3) T (11)

[0145] According to the above monitoring content requirements, there are currently five types of acceleration sensors and five types of displacement sensors, and the performance parameters of each sensor are classified as follows:

[0146] Table 4 Sensor performance parameter classification

[0147]

[0148]

[0149] The above table gives the grading values of various types of sensors in terms of range, resolution, accuracy, sensitivity, dynamic response characteristics, long-term stability and environmental sensitivity. Since the grading of different performance parameters of sensors is different, normalization is required. Figure 3 The normalized results for acceleration are as follows.

[0150] According to the normalized results, the grading values of the performance parameters of various types of acceleration sensors can be obtained, from which the overall performance parameters of the acceleration sensors such as Figure 4 are shown, and the sensor types that are preferentially recommended are further obtained.

[0151] From the above analysis, the overall performance parameters of the acceleration 1, acceleration 2, acceleration 3, acceleration 4 and acceleration 5 sensors are 0.93, 0.45, 0.93, 0.74 and 0.74 respectively. According to the sensor performance parameter selection and matching relationship (Table 3), the important degree weight coefficients of the vertical acceleration of the main beam, the horizontal acceleration of the main beam, the horizontal bidirectional acceleration of the tower top, and the vibration acceleration of the cable are 3, so the sensors of the “acceleration 1” and “acceleration 3” types can be selected, while the important degree weight coefficient of the longitudinal acceleration of the main beam is 2, so the sensors of the “acceleration 1”, “acceleration 3”, “acceleration 4” and “acceleration 5” types can be selected.

[0152] Figure 5 The normalized results for displacement are as follows.

[0153] According to the normalized results, the grading values of the performance parameters of various types of displacement sensors can be obtained, from which the overall performance parameters of the displacement sensors such as Figure 6 are shown, and the sensor types that are preferentially recommended are further obtained.

[0154] From the above analysis, the overall performance parameters of the displacement 1, displacement 2, displacement 3, displacement 4 and displacement 5 sensors are 0.83, 0.81, 0.57, 0.88 and 0.74 respectively. According to the sensor performance parameter selection and matching relationship (Table 3), the important degree weight coefficients of the vertical displacement of the main beam, the displacement of the support, the longitudinal displacement of the beam end and the displacement of the tower top are 3, so the sensors of the “displacement 1”, “displacement 2” and “displacement 4” types can be selected, while the important degree weight coefficient of the horizontal displacement of the main beam is 2, so the sensors of the “displacement 1”, “displacement 2”, “displacement 4” and “displacement 5” types can be selected.

[0155] It should be noted that not all steps and modules in the above processes and system structures are necessary, and some steps and units can be omitted according to actual needs. The execution order of each step is not fixed and can be determined as needed. The device structure described in each of the above embodiments can be a physical structure or a logical structure. A certain module or unit can be implemented by the same physical entity, a certain module or unit can be implemented by multiple physical entities respectively, and a certain module or unit can also be implemented by multiple components in multiple independent devices together.

[0156] Although the embodiments of the present application have been disclosed as above, they are not limited only to the applications listed in the specification and the embodiments. It can be fully applied to various fields suitable for the embodiments of the present application. Those skilled in the art can easily make further modifications. Therefore, the embodiments of the present application are not limited to specific details and the figures shown and described herein without departing from the general concept defined by the claims and the equivalent scope.

Claims

1. A method for selecting and arranging bridge structure monitoring sensor devices, characterized in that: include: The monitoring content of bridge structures is divided into several levels, and each monitoring indicator is assigned a different weight coefficient according to its impact on structural safety; The monitoring contents of bridge structures are classified according to environment, action, structural response and structural change, and I, A, R and C are used to represent the importance vectors of structural monitoring contents of environment, action, structural response and structural change respectively. The sensor performance parameters are graded and each grade is assigned a different score; For multiple candidate sensors of the same monitoring content of the bridge, calculate the normalized value of the mth performance parameter of each candidate sensor The normalized overall performance parameters of the candidate sensors are used as the basic parameters for the selection and arrangement of the sensing devices; Analyze the engineering application situation, match the importance of different bridge monitoring contents with the overall performance parameters of the sensor, and determine the applicable sensor type.

2. The bridge structure monitoring sensor device selection and arrangement method according to claim 1 is characterized in that: The normalized value of the mth performance parameter of each candidate sensor is calculated by the following formula: S m =s m / max[s m ] m=1,2,…,n (8) Take s m The mean value of is taken as the overall performance parameter of the alternative sensor. Where s m is the score of the mth performance parameter classification of the candidate sensor, max[s m ] is the maximum score of the mth performance parameter classification, and n is the number of sensor performance parameters.

3. The bridge structure monitoring sensor device selection and arrangement method according to claim 1 is characterized in that: The monitoring content importance vectors I, A, R, and C are calculated according to the following formulas: I=(i1 i2…i m ) T (1) A=(a1 a2 …a m ) T (2) R＝(r1 r2 …r m ) T (3) C=(c1 c2 …c m ) T (4) Among them, i m Indicates the importance weight coefficient of the mth environmental monitoring content, a m Indicates the weight coefficient of the importance of the mth monitoring content, r m Indicates the importance weight coefficient of the mth structural response monitoring content, c m Represents the importance weight coefficient of the mth structural change monitoring content.

4. The bridge structure monitoring sensor device selection and arrangement method according to claim 1 is characterized in that: The monitoring contents of bridge structures are divided into three levels, and different weight coefficients are assigned to them: 3.0, 2.0, and 1.

0.

5. The bridge structure monitoring sensor device selection and arrangement method according to claim 4 is characterized in that: The importance weight coefficients of different monitoring contents of bridge structures are matched with the overall performance parameters of the sensors as follows:

6. A bridge structure monitoring sensor device selection and layout device, characterized in that: include: The bridge structure monitoring content importance module is used to classify the monitoring content of the bridge structure into three levels. Each monitoring indicator is assigned a different weight coefficient according to its impact on structural safety. The monitoring content of the bridge structure is classified according to the environment, action, structural response and structural change. I, A, R and C are used to represent the structural monitoring content importance vectors of the environment, action, structural response and structural change respectively. A basic parameter module for sensor device selection and placement, which is used to classify sensor performance parameters and assign different scores to each class; And for multiple alternative type sensors of the same monitoring content of the bridge structure, calculate the normalized value of the mth performance parameter of each alternative sensor The normalized overall performance parameters of the candidate sensors are used as the basic parameters for the selection and arrangement of the sensing devices; The matching module is used to analyze engineering applications, match the importance of different monitoring contents of bridge structures with the overall performance parameters of sensors, and derive the applicable sensor type.

7. The bridge structure monitoring sensor device selection and arrangement device according to claim 6, characterized in that: The normalized value of the mth performance parameter of each candidate sensor is calculated by the following formula: S m =s m / max[s m ] m=1,2,…,n (8) Take s m The mean value of is taken as the overall performance parameter of the alternative sensor. Where s m is the score of the mth performance parameter classification of the candidate sensor, max[s m ] is the maximum score of the mth performance parameter classification, and n is the number of sensor performance parameters.

8. The bridge structure monitoring sensor device selection and arrangement device according to claim 6, characterized in that: The monitoring content importance vectors I, A, R, and C are calculated according to the following formulas: I=(i1 i2…i m ) T (1) A=(a1 a2 …a m ) T (2) R＝(r1 r2 …r m ) T (3) C=(c1 c2 …c m ) T (4) Among them, i m Indicates the importance weight coefficient of the mth environmental monitoring content, a m Indicates the weight coefficient of the importance of the mth monitoring content, r m Indicates the importance weight coefficient of the mth structural response monitoring content, c m Represents the importance weight coefficient of the mth structural change monitoring content.

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