Cable-stayed bridge cable force online monitoring system

Abstract

The invention discloses a cable-stayed bridge cable force on-line monitoring system, and the system comprises first collection modules which are disposed at a plurality of positions of a stay cable of a cable-stayed bridge, and are used for collecting acceleration signals; the second acquisition modules are arranged at a plurality of positions of a stay cable of the cable-stayed bridge and are used for acquiring stress signals; the transmission module is used for transmitting the acceleration signal and the stress signal to a server; and the server is used for analyzing the acceleration signal and the stress signal to obtain analysis information, calculating cable-stayed bridge cable force information according to the analysis information, and generating a cable-stayed bridge cable force online monitoring data table. The stress change information of the cable-stayed bridge cable is comprehensively considered, the cable force of the cable-stayed bridge cable is conveniently and accurately calculated, vibration data and stress data of the cable-stayed bridge cable are conveniently, continuously and automatically collected and analyzed based on the online monitoring technology, any abnormal fluctuation of the cable force is captured in time, and powerful technical support is provided for safe operation of a bridge.

Description

Technical Field

[0001] The invention relates to the field of monitoring technology, and in particular to an online monitoring system for cable forces of a cable-stayed bridge. Background Art

[0002] With the continuous improvement of my country's transportation infrastructure, more and more large cable-stayed bridges have been put into operation. These bridge structures are usually equipped with hundreds of cable stays. Accurate measurement and regular evaluation of the cable force of each cable stay has become an indispensable part of the bridge health monitoring system. The online monitoring of cable force shows a high degree of complexity in design and implementation. In the prior art, monitoring is based on the vibration frequency method. By measuring the vibration frequency of the cable stay, the cable tension can be calculated using the theoretical relationship between the vibration frequency of the cable and its tension (such as string vibration theory). This method has the advantages of non-contact and remote monitoring, and has little effect on the vibration of the cable. However, the prior art does not consider the influence of stress concentration, corrosion, fatigue accumulation or local damage caused by stress changes inside the structure on the cable force, resulting in inaccurate calculation of the cable force of the cable-stayed bridge. Summary of the invention

[0003] The present invention aims to solve at least one of the technical problems in the above-mentioned technologies to a certain extent. To this end, the purpose of the present invention is to propose an online monitoring system for cable-stayed bridge cable force, which comprehensively considers the stress change information of the cable-stayed bridge cable, facilitates accurate calculation of the cable force of the cable-stayed bridge, and facilitates continuous and automatic collection and analysis of the vibration data and stress data of the cable-stayed cable based on the online monitoring technology, and timely captures any abnormal fluctuations in the cable force, providing strong technical support for the safe operation of the bridge.

[0004] To achieve the above object, an embodiment of the present invention provides an online monitoring system for cable force of a cable-stayed bridge, comprising:

[0005] A first acquisition module is arranged at several positions of the cable-stayed cables included in the cable-stayed bridge, and is used to acquire acceleration signals;

[0006] A second acquisition module is provided at several positions of the cable-stayed bridge, and is used to acquire stress signals;

[0007] A transmission module, used for transmitting the acceleration signal and the stress signal to a server;

[0008] The server is used to analyze and process the acceleration signal and the stress signal to obtain analysis information, calculate the cable force information of the cable-stayed bridge according to the analysis information, and generate an online monitoring data table of the cable force of the cable-stayed bridge.

[0009] According to some embodiments of the present invention, the first acquisition module is an acceleration sensor; the second acquisition module is a stress sensor.

[0010] According to some embodiments of the present invention, the system further comprises: an adjustment module, configured to:

[0011] Before collecting the acceleration signal based on the first acquisition module and collecting the stress signal based on the second acquisition module, generating and executing a synchronous acquisition instruction, and generating and executing a test instruction at the same time;

[0012] When executing the test instruction, output the test signal; control the first acquisition module to acquire the test signal, obtain the first acquisition frequency and the first acquisition duration; control the second acquisition module to acquire the test signal, obtain the second acquisition frequency and the second acquisition duration;

[0013] Calculating a frequency difference between the first acquisition frequency and the second acquisition frequency, and performing frequency adjustment processing when it is determined that the frequency difference is not within a preset frequency difference range;

[0014] The duration difference between the first acquisition duration and the second acquisition duration is calculated, and when it is determined that the duration difference is not within a preset duration difference range, a duration adjustment process is performed.

[0015] According to some embodiments of the present invention, the system further includes: a data processing module, configured to perform data cleaning and abnormal data processing before the transmission module transmits the acceleration signal and the stress signal to the server.

[0016] According to some embodiments of the present invention, a server includes:

[0017] The first analytical module is used to analyze the acceleration signal and extract the vibration frequency information of the inclined cable;

[0018] The second analytical module is used to analyze and process the stress signal, extract the elastic modulus of the inclined cable, query the preset elastic modulus-cable force influence coefficient data table according to the elastic modulus, and determine the target cable force influence coefficient;

[0019] The first calculation module is used to calculate the cable force information of the cable-stayed bridge according to the vibration frequency information and the target cable force influence coefficient.

[0020] According to some embodiments of the present invention, the first parsing module includes:

[0021] A filtering module, used in the signal processing module, is used to filter the acceleration signal;

[0022] The transformation module is used to decompose the acceleration signal after filtering into the sum of sine waves and cosine waves of different frequencies based on fast Fourier transform to determine the amplitude spectrum; search for a peak value greater than a preset threshold in the amplitude spectrum, and determine the vibration frequency information of the inclined cable according to the frequency position corresponding to the peak value.

[0023] According to some embodiments of the present invention, the second analytical module performs analytical processing on the stress signal to extract the elastic modulus of the inclined cable, including:

[0024]

[0025] Wherein, E is the elastic modulus of the cable; l is the length of the cable; ρ is the density of the material of the cable; S is the cross-sectional area of ​​the cable; I is the moment of inertia of the cross-section of the cable; g is the gravitational acceleration; ε is the strain of the cable; σ1 is the average stress on the cable; γ is the deformation of the cable.

[0026] According to some embodiments of the present invention, the first calculation module calculates the cable force information of the cable-stayed bridge according to the vibration frequency information and the target cable force influence coefficient, including:

[0027]

[0028] Wherein, T is the cable force information of the cable-stayed bridge; b is the gravity per unit length of the cable; l is the length of the cable; g is the acceleration of gravity; f is the vibration frequency information; and D is the target cable force influence coefficient.

[0029] According to some embodiments of the present invention, the system further comprises a monitoring module, configured to:

[0030] When the server is parsing the acceleration signal and the stress signal, the parsing rate of the server is monitored, and it is determined whether it is less than a preset parsing rate. When it is determined that the parsing rate is less than the preset parsing rate, the parameters of the server are optimized;

[0031] The monitoring module comprises:

[0032] The second calculation module is used to calculate the parsing load of the server;

[0033] The server includes a resolution node circuit, and the resolution node circuit includes a plurality of resolution nodes;

[0034]

[0035] Where M is the server’s parsing load; W0 is the server’s parsing resources; w i is the parsing resource of the ith parsing node; e is a natural constant; t0 is the parsing time of the preset data; t i is the actual parsing time of the data by the i-th parsing node; n is the number of parsing nodes included in the parsing node line;

[0036] The third calculation module is used to calculate the parsing rate of the server for data according to the parsing load of the server;

[0037]

[0038] Where V is the server's data parsing rate; k0 is the average data parsing volume per unit time of n parsing nodes; is the average value of information gain of n parsing nodes; k i is the data resolution amount per unit time of the i-th resolution node; λ is the interference parameter to the resolution node line; is the average power of n analysis nodes.

[0039] According to some embodiments of the present invention, the system further comprises: a fourth calculation module, configured to calculate a safety value of the inclined cable according to the elastic modulus of the inclined cable;

[0040]

[0041] Wherein, N is the safety value of the cable; K is the aging coefficient of the cable; λ is the sensitivity coefficient of the cable to stress, and its value range is [0,1]; a is the material coefficient of the cable; σ2 is the maximum stress received by the cable during operation; σ3 is the normal stress received by the cable; σ4 is the shear stress received by the cable;

[0042] The safety value of the inclined cable is compared with the preset safety threshold, and when it is determined that the safety value is less than the preset safety threshold, an alarm is issued.

[0043] The present invention proposes an online monitoring system for cable-stayed bridge cable force, which comprehensively considers the stress change information of the cable-stayed bridge cable to facilitate accurate calculation of the cable force of the cable-stayed bridge. Based on the online monitoring technology, it is convenient to continuously and automatically collect and analyze the vibration data and stress data of the cable-stayed cable, and timely capture any abnormal fluctuations in the cable force, providing strong technical support for the safe operation of the bridge.

[0044] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures particularly pointed out in the written description and the accompanying drawings.

[0045] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0047] Figure 1is a block diagram of an online monitoring system for cable-stayed bridge cable force according to one embodiment of the present invention;

[0048] Figure 2 is a block diagram of a server according to an embodiment of the present invention;

[0049] Figure 3 is a block diagram of a first parsing module according to an embodiment of the present invention. DETAILED DESCRIPTION

[0050] The preferred embodiments of the present invention are described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0051] like Figure 1 As shown, an embodiment of the present invention provides an online monitoring system for cable force of a cable-stayed bridge, comprising:

[0052] A first acquisition module is arranged at several positions of the cable-stayed cables included in the cable-stayed bridge, and is used to acquire acceleration signals;

[0053] A second acquisition module is provided at several positions of the cable-stayed bridge, and is used to acquire stress signals;

[0054] A transmission module, used for transmitting the acceleration signal and the stress signal to a server;

[0055] The server is used to analyze and process the acceleration signal and the stress signal to obtain analysis information, calculate the cable force information of the cable-stayed bridge according to the analysis information, and generate an online monitoring data table of the cable force of the cable-stayed bridge.

[0056] The working principle of the above technical solution: the first acquisition module is an acceleration sensor; the second acquisition module is a stress sensor. The acceleration sensor and the stress sensor are evenly arranged at several positions of the cable-stayed cable. The transmission module transmits the acceleration signal and the stress signal to the server; the server parses and processes the acceleration signal and the stress signal to obtain parsing information, calculates the cable force information of the cable-stayed bridge according to the parsing information, and generates a cable-stayed bridge cable force online monitoring data table. The cable-stayed bridge cable force online monitoring data table is a cable-stayed bridge cable force change data table showing the cable-stayed bridge cable force change over time and at each position.

[0057] The beneficial effects of the above technical solution are: comprehensive consideration of the stress change information of the cable-stayed bridge cables makes it easy to accurately calculate the cable force of the cable-stayed bridge. Based on the online monitoring technology, it is easy to continuously and automatically collect and analyze the vibration data and stress data of the cable-stayed cables, and timely capture any abnormal fluctuations in the cable force, providing strong technical support for the safe operation of the bridge.

[0058] According to some embodiments of the present invention, the system further comprises: an adjustment module, configured to:

[0059] Before collecting the acceleration signal based on the first acquisition module and collecting the stress signal based on the second acquisition module, generating and executing a synchronous acquisition instruction, and generating and executing a test instruction at the same time;

[0060] When executing the test instruction, output the test signal; control the first acquisition module to acquire the test signal, obtain the first acquisition frequency and the first acquisition duration; control the second acquisition module to acquire the test signal, obtain the second acquisition frequency and the second acquisition duration;

[0061] Calculating a frequency difference between the first acquisition frequency and the second acquisition frequency, and performing frequency adjustment processing when it is determined that the frequency difference is not within a preset frequency difference range;

[0062] The duration difference between the first acquisition duration and the second acquisition duration is calculated, and when it is determined that the duration difference is not within a preset duration difference range, a duration adjustment process is performed.

[0063] The working principle and beneficial effects of the above technical solution: triggering the first acquisition module and the second acquisition module to collect signals at the same time, so as to ensure the consistency of the acquisition time. At the same time, the acquisition frequency and acquisition duration of the first acquisition module and the second acquisition module are adjusted based on the test signal, so as to make the frequency difference between the first acquisition frequency and the second acquisition frequency within the preset frequency difference range and the time difference between the first acquisition duration and the second acquisition duration within the preset time difference range, so as to further ensure the time consistency of the acquisition signals of the first acquisition module and the second acquisition module and the correspondence of the collected data, so as to better analyze the cable tension information at the same time.

[0064] According to some embodiments of the present invention, the system further includes: a data processing module, configured to perform data cleaning and abnormal data processing before the transmission module transmits the acceleration signal and the stress signal to the server.

[0065] The beneficial effects of the above technical solution are: it is easy to reduce the amount of data transmitted to the server, improve data transmission efficiency, and at the same time ensure the accuracy of the data transmitted to the server.

[0066] like Figure 2 As shown, according to some embodiments of the present invention, the server includes:

[0067] The first analytical module is used to analyze the acceleration signal and extract the vibration frequency information of the inclined cable;

[0068] The second analytical module is used to analyze and process the stress signal, extract the elastic modulus of the inclined cable, query the preset elastic modulus-cable force influence coefficient data table according to the elastic modulus, and determine the target cable force influence coefficient;

[0069] The first calculation module is used to calculate the cable force information of the cable-stayed bridge according to the vibration frequency information and the target cable force influence coefficient.

[0070] The working principle and beneficial effects of the above technical solution: The first analytical module analyzes the acceleration signal based on the vibration frequency method to extract the vibration frequency information of the cable-stayed cable. The preset elastic modulus-cable force influence coefficient data table is a corresponding data table of elastic modulus and cable force influence coefficient. The cable force information of the cable-stayed bridge is calculated based on the vibration frequency information and the target cable force influence coefficient. Comprehensively considering the stress change information of the cable-stayed bridge cable, it is convenient to accurately calculate the cable force of the cable-stayed bridge.

[0071] like Figure 3 As shown, according to some embodiments of the present invention, the first parsing module includes:

[0072] A filtering module, used in the signal processing module, is used to filter the acceleration signal;

[0073] The transformation module is used to decompose the acceleration signal after filtering into the sum of sine waves and cosine waves of different frequencies based on fast Fourier transform to determine the amplitude spectrum; search for a peak value greater than a preset threshold in the amplitude spectrum, and determine the vibration frequency information of the inclined cable according to the frequency position corresponding to the peak value.

[0074] The working principle and beneficial effects of the above technical solution are as follows: The acceleration signal is filtered based on the filtering module to remove noise and unnecessary frequency components, thereby improving the quality of the signal. The acceleration signal after filtering is decomposed into the sum of sine waves and cosine waves of different frequencies based on the fast Fourier transform of the transformation module to determine the amplitude spectrum; the peak value greater than the preset threshold is searched in the amplitude spectrum, and the vibration frequency information of the inclined cable is determined according to the frequency position corresponding to the peak value. It is convenient to accurately determine the vibration frequency information of the inclined cable.

[0075] According to some embodiments of the present invention, the second analytical module performs analytical processing on the stress signal to extract the elastic modulus of the inclined cable, including:

[0076]

[0077] Wherein, E is the elastic modulus of the cable; l is the length of the cable; ρ is the density of the material of the cable; S is the cross-sectional area of ​​the cable; I is the moment of inertia of the cross-section of the cable; g is the gravitational acceleration; ε is the strain of the cable; σ1 is the average stress on the cable; γ is the deformation of the cable.

[0078] The beneficial effects of the above technical solution are as follows: based on the above algorithm, the length of the inclined cable, the density of the material of the inclined cable, the cross-sectional area of ​​the inclined cable, the stress and other information are comprehensively considered, so that it is convenient to accurately calculate the elastic modulus of the inclined cable, and then it is convenient to determine the stiffness of the inclined cable within the elastic range, taking into account the change information of the stress of the inclined cable.

[0079] According to some embodiments of the present invention, the first calculation module calculates the cable force information of the cable-stayed bridge according to the vibration frequency information and the target cable force influence coefficient, including:

[0080]

[0081] Wherein, T is the cable force information of the cable-stayed bridge; b is the gravity per unit length of the cable; l is the length of the cable; g is the acceleration of gravity; f is the vibration frequency information; and D is the target cable force influence coefficient.

[0082] The beneficial effects of the above technical solution are as follows: based on the vibration frequency information and the target cable force influence coefficient, the cable force information of the cable-stayed bridge is accurately calculated, so as to improve the accuracy of online monitoring.

[0083] According to some embodiments of the present invention, the system further comprises a monitoring module, configured to:

[0084] When the server is parsing the acceleration signal and the stress signal, the parsing rate of the server is monitored, and it is determined whether it is less than a preset parsing rate. When it is determined that the parsing rate is less than the preset parsing rate, the parameters of the server are optimized;

[0085] The monitoring module comprises:

[0086] The second calculation module is used to calculate the parsing load of the server;

[0087] The server includes a resolution node circuit, and the resolution node circuit includes a plurality of resolution nodes;

[0088]

[0089] Where M is the server’s parsing load; W0 is the server’s parsing resources; w i is the parsing resource of the ith parsing node; e is a natural constant; t0 is the parsing time of the preset data; t i is the actual parsing time of the data by the i-th parsing node; n is the number of parsing nodes included in the parsing node line;

[0090] The third calculation module is used to calculate the parsing rate of the server for data according to the parsing load of the server;

[0091]

[0092] Where V is the server's data parsing rate; k0 is the average data parsing volume per unit time of n parsing nodes; is the average value of information gain of n parsing nodes; k i is the data resolution amount per unit time of the i-th resolution node; λ is the interference parameter to the resolution node line; is the average power of n analysis nodes.

[0093] The working principle and beneficial effects of the above technical solution: when the server parses and processes the acceleration signal and the stress signal, the server's parsing rate of the data is monitored, and it is determined whether it is less than the preset parsing rate. When it is determined that the parsing rate is less than the preset parsing rate, the server parameters are optimized; it is convenient to improve the server's parsing rate of the data and improve the real-time performance of online monitoring. First, the parsing load of the server is calculated based on the second calculation module, which involves parsing resources to ensure data call capability, memory processing capability, etc. The third calculation module calculates the server's parsing rate of the data according to the server's parsing load; which involves the average value of the information gain of n parsing nodes, and the information gain measures the increase in the amount of information that a feature can bring to the classification target. The calculation of information gain includes: calculating the information entropy of the parent node: information entropy is an indicator to measure the uncertainty of the data set. For classification problems, information entropy can be obtained by calculating the probability of each category multiplied by the negative logarithm of the amount of information of the category. Calculate the weighted information entropy of each child node: for each possible feature value, the data set can be divided into multiple subsets (i.e., child nodes). Then, the information entropy of each child node is calculated, and the proportion of the number of samples in the child node to the total number of samples is used as the weight for weighted summation. Calculate information gain: Information gain is the difference between the information entropy of the parent node and the weighted information entropy of all child nodes. This difference represents the amount of reduction in uncertainty after the data set is divided by this feature. The information gain of each parsing node is averaged to obtain the average value. The interference parameter of the parsing node line is (0,1), including data inaccuracy, disordered order, data volume, etc. will have an impact. Based on the third calculation module, the server's parsing rate of data is accurately calculated, which improves the accuracy of judging the size of the preset parsing rate.

[0094] According to some embodiments of the present invention, the system further comprises: a fourth calculation module, configured to calculate a safety value of the inclined cable according to the elastic modulus of the inclined cable;

[0095]

[0096] Wherein, N is the safety value of the cable; K is the aging coefficient of the cable; λ is the sensitivity coefficient of the cable to stress, and its value range is [0,1]; a is the material coefficient of the cable; σ2 is the maximum stress received by the cable during operation; σ3 is the normal stress received by the cable; σ4 is the shear stress received by the cable;

[0097] The safety value of the inclined cable is compared with the preset safety threshold, and when it is determined that the safety value is less than the preset safety threshold, an alarm is issued.

[0098] Beneficial effects of the above technical solution: The fourth calculation module calculates the safety value of the cable according to the elastic modulus of the cable, compares the safety value of the cable with the preset safety threshold, and issues an alarm when it is determined that the safety value is less than the preset safety threshold. It is convenient to realize the online monitoring of the cable force of the cable-stayed bridge, and at the same time, corresponding early warning is issued according to the online monitoring results, so as to realize the effective monitoring of the cable-stayed bridge and improve the safety.

[0099] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. An online monitoring system for cable force of a cable-stayed bridge, characterized in that: include: A first acquisition module is provided at several positions of the cable-stayed bridge, and is used to acquire acceleration signals; The second acquisition module is arranged at several positions of the cable-stayed cables included in the cable-stayed bridge, and is used to collect stress signals; A transmission module, used for transmitting the acceleration signal and the stress signal to a server; The server is used to analyze and process the acceleration signal and the stress signal to obtain analysis information, calculate the cable force information of the cable-stayed bridge according to the analysis information, and generate an online monitoring data table of the cable force of the cable-stayed bridge.

2. The cable-stayed bridge cable force online monitoring system according to claim 1, characterized in that: The first acquisition module is an acceleration sensor; the second acquisition module is a stress sensor.

3. The cable-stayed bridge cable force online monitoring system according to claim 1, characterized in that: The system also includes an adjustment module, which is used to: Before the acceleration signal is collected based on the first collection module and the stress signal is collected based on the second collection module, a synchronous collection instruction is generated and executed, and a test instruction is generated and executed at the same time; When executing the test instruction, output the test signal; control the first acquisition module to acquire the test signal, obtain the first acquisition frequency and the first acquisition duration; control the second acquisition module to acquire the test signal, obtain the second acquisition frequency and the second acquisition duration; Calculating a frequency difference between the first acquisition frequency and the second acquisition frequency, and performing frequency adjustment processing when it is determined that the frequency difference is not within a preset frequency difference range; The duration difference between the first acquisition duration and the second acquisition duration is calculated, and when it is determined that the duration difference is not within a preset duration difference range, a duration adjustment process is performed.

4. The cable-stayed bridge cable force online monitoring system according to claim 1, characterized in that: The system also includes: a data processing module, which is used to perform data cleaning and abnormal data processing before the transmission module transmits the acceleration signal and the stress signal to the server.

5. The cable-stayed bridge cable force online monitoring system according to claim 1, characterized in that: Servers, including: The first analytical module is used to analyze the acceleration signal and extract the vibration frequency information of the inclined cable; The second analytical module is used to analyze and process the stress signal, extract the elastic modulus of the inclined cable, query the preset elastic modulus-cable force influence coefficient data table according to the elastic modulus, and determine the target cable force influence coefficient; The first calculation module is used to calculate the cable force information of the cable-stayed bridge according to the vibration frequency information and the target cable force influence coefficient.

6. The cable-stayed bridge cable force online monitoring system according to claim 5, characterized in that: The first parsing module comprises: A filtering module is used in the signal processing module to filter the acceleration signal; The transformation module is used to decompose the acceleration signal after filtering into the sum of sine waves and cosine waves of different frequencies based on fast Fourier transform to determine the amplitude spectrum; search for a peak value greater than a preset threshold in the amplitude spectrum, and determine the vibration frequency information of the inclined cable according to the frequency position corresponding to the peak value.

7. The cable-stayed bridge cable force online monitoring system according to claim 5, characterized in that: The second analytical module analyzes the stress signal and extracts the elastic modulus of the cable, including: Wherein, E is the elastic modulus of the cable; l is the length of the cable; ρ is the density of the material of the cable; S is the cross-sectional area of ​​the cable; I is the moment of inertia of the cross-section of the cable; g is the gravitational acceleration; ε is the strain of the cable; σ1 is the average stress on the cable; γ is the deformation of the cable.

8. The cable-stayed bridge cable force online monitoring system according to claim 5, characterized in that: The first calculation module calculates the cable force information of the cable-stayed bridge according to the vibration frequency information and the target cable force influence coefficient, including: Wherein, T is the cable force information of the cable-stayed bridge; b is the gravity per unit length of the cable; l is the length of the cable; g is the acceleration of gravity; f is the vibration frequency information; and D is the target cable force influence coefficient.

9. The cable-stayed bridge cable force online monitoring system according to claim 1, characterized in that: The system also includes a monitoring module for: When the server is parsing the acceleration signal and the stress signal, the parsing rate of the server is monitored, and it is determined whether it is less than a preset parsing rate. When it is determined that the parsing rate is less than the preset parsing rate, the parameters of the server are optimized; The monitoring module comprises: The second calculation module is used to calculate the parsing load of the server; The server includes a resolution node circuit, and the resolution node circuit includes a plurality of resolution nodes; Where M is the server’s parsing load; W0 is the server’s parsing resources; w i is the parsing resource of the ith parsing node; e is a natural constant; t0 is the parsing time of the preset data; t i is the actual parsing time of the data by the i-th parsing node; n is the number of parsing nodes included in the parsing node line; The third calculation module is used to calculate the parsing rate of the server for data according to the parsing load of the server; Where V is the server's data parsing rate; k0 is the average data parsing volume per unit time of n parsing nodes; is the average value of information gain of n parsing nodes; k i is the data resolution amount per unit time of the i-th resolution node; λ is the interference parameter to the resolution node line; is the average power of n analysis nodes.

10. The cable-stayed bridge cable force online monitoring system according to claim 7, characterized in that: The system further includes: a fourth calculation module, for calculating a safety value of the inclined cable according to the elastic modulus of the inclined cable; Wherein, N is the safety value of the cable; K is the aging coefficient of the cable; λ is the sensitivity coefficient of the cable to stress, and its value range is [0,1]; a is the material coefficient of the cable; σ2 is the maximum stress received by the cable during operation; σ3 is the normal stress received by the cable; σ4 is the shear stress received by the cable; The safety value of the inclined cable is compared with the preset safety threshold, and when it is determined that the safety value is less than the preset safety threshold, an alarm is issued.

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