CN118089822A - Intelligent monitoring system and method for bridge foundation scouring - Google Patents
Intelligent monitoring system and method for bridge foundation scouring Download PDFInfo
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 39
- 238000009991 scouring Methods 0.000 title claims abstract description 36
- 238000000034 method Methods 0.000 title claims abstract description 30
- 238000011010 flushing procedure Methods 0.000 claims abstract description 161
- 239000013049 sediment Substances 0.000 claims abstract description 108
- 238000012216 screening Methods 0.000 claims abstract description 41
- 238000004458 analytical method Methods 0.000 claims abstract description 40
- 230000006854 communication Effects 0.000 claims description 26
- 238000013500 data storage Methods 0.000 claims description 26
- 238000004891 communication Methods 0.000 claims description 22
- 238000004364 calculation method Methods 0.000 claims description 15
- 230000002159 abnormal effect Effects 0.000 claims description 14
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 13
- 238000013461 design Methods 0.000 claims description 10
- 238000013075 data extraction Methods 0.000 claims description 4
- 230000005856 abnormality Effects 0.000 claims description 3
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- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
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- G—PHYSICS
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- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
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- E—FIXED CONSTRUCTIONS
- E02—HYDRAULIC ENGINEERING; FOUNDATIONS; SOIL SHIFTING
- E02D—FOUNDATIONS; EXCAVATIONS; EMBANKMENTS; UNDERGROUND OR UNDERWATER STRUCTURES
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Abstract
The invention discloses an intelligent monitoring system and method for bridge foundation scouring, and relates to the technical field of underwater monitoring. The invention further provides an intelligent monitoring system and method for the bridge foundation flushing, which are used for monitoring and controlling the bridge foundation flushing data and comprise a sediment flushing real-time acquisition module, a data intelligent screening module, a database intelligent analysis module and a data intelligent pushing module. By the technical scheme, timeliness of acquiring the bridge foundation flushing data and accuracy of data pushing results can be improved.
Description
Technical Field
The invention relates to the technical field of underwater monitoring, in particular to an intelligent monitoring system and method for bridge foundation scouring.
Background
The local scour of the bridge is a relatively common damage form in the bridge, and because the bridge is in a complex water environment for a long time, under the continuous scour action of water flow, sediment around the bridge foundation is taken away by approaching water flow and formed vortex, sediment accumulation can be generated at the downstream of the bridge foundation, and the stability and the safety of the bridge are seriously affected, so that the protection measures for the local scour of the bridge are necessary.
The bridge local scour that rivers aroused mainly because bridge substructure blocks water and accelerates the rivers velocity of flow and arouses, when the rivers velocity of flow is very fast, tiny silt can start earlier around the bridge foundation and take away by the rivers, and the riverbed coarsens gradually, and when extreme cases such as flood appear, bigger silt granule etc. further carry to the low reaches by the rivers, and the bridge foundation is because its buried degree of depth reduces, leads to the bearing capacity of its basis to reduce, and extremely flood mingles with under the impact such as drift, leads to pier slope and collapse easily.
In the prior art, the foundation of the established bridge is protected mainly through several common protection measures, such as the measures of stone throwing protection, construction of guide dikes, slotting of the bridge and the like; in daily monitoring to the bridge, traditional basis washout detection device installation and maintenance are with high costs to be out of order under rivers washout easily, still can have the condition that measured data error rate is high.
Disclosure of Invention
The invention aims to provide an intelligent monitoring system and method for bridge foundation scouring, which are used for solving the problems in the prior art.
In order to achieve the above purpose, the present invention provides the following technical solutions:
the intelligent monitoring system and the intelligent monitoring method for the bridge foundation flushing are used for monitoring and controlling the bridge foundation flushing data and comprise a sediment flushing real-time acquisition module, a database intelligent analysis module, a data intelligent screening module and a data intelligent pushing module;
The sediment scouring real-time acquisition module is used for acquiring bridge foundation scouring data, storing the bridge foundation scouring data acquired based on the distributed sensing equipment disclosed by the prior invention, classifying and screening the bridge foundation scouring data once, and transmitting the bridge foundation scouring data to the database intelligent analysis module in real time;
the intelligent database analysis module updates the data storage library based on the bridge foundation flushing data, and performs secondary classification on the bridge foundation flushing data by combining historical storage data in the storage library;
the intelligent data screening module is respectively connected with the sediment flushing real-time acquisition module and the intelligent database analysis module, and is connected with the sediment flushing real-time acquisition module and the intelligent database analysis module to obtain classification results of bridge foundation flushing data, screen, analyze and identify the classification results to obtain sediment flushing data, and automatically match the sediment flushing data according to user requirements;
The data intelligent pushing module is used for pushing the sediment flushing data screened in the data intelligent screening module to the client, acquiring pushing matching degree, updating data resources according to the matching degree, and realizing monitoring control of bridge basic data.
Further, the sediment scouring real-time acquisition module comprises a data acquisition unit, a data storage unit and a primary classification unit;
the data extraction unit is used for acquiring the bridge foundation scouring data in real time and creating a data classification tag of a preset type based on the bridge foundation scouring data;
The data storage unit is used for caching historical bridge foundation flushing data and corresponding data classification labels thereof from the database intelligent analysis module and constructing a new data storage library with the bridge foundation flushing data acquired in real time;
the primary classification unit is used for classifying the bridge foundation flushing data obtained by the data extraction unit and classifying and marking the bridge foundation flushing data based on the created data classification label;
the data classification label is used for marking sediment flushing amount, water flow direction, water flow speed and water surface distance.
Further, the aforementioned database intelligent analysis module includes a storage design unit and a secondary classification unit;
the storage design unit is based on a data storage unit in the sediment flushing real-time acquisition module, and performs classified storage by combining data classification labels of all preset types;
The secondary classification unit is used for generating a second label, and the second label is used for marking abnormal bridge foundation flushing data;
the memory design unit is composed of a first marking layer, a second marking layer and an abnormal data marking layer.
Further, the data intelligent screening module comprises a connecting unit, a screening unit and a communication unit;
the connecting unit is used for connecting the primary classifying unit of the sediment scouring real-time acquisition module, the secondary classifying unit of the database intelligent analysis module and the data intelligent pushing module, and communication connection is established among the module units;
The screening unit is used for acquiring sediment flushing data based on the classification results of the primary classification unit and the secondary classification unit in the communication process, selecting sediment flushing data meeting the user requirements from the sediment flushing data according to preset screening conditions, and sending the screened sediment flushing data to the communication unit;
The communication unit is used for communicating through connection established between each module by the connection unit, and forwarding the screened sediment flushing data meeting the user requirements to each module in real time, so that information synchronization is realized.
Further, the foregoing data intelligent pushing module includes a data pushing unit and a data updating unit;
The data pushing unit pushes sediment flushing data and marks corresponding to the sediment flushing data to the client based on the abnormal data marking layer in the storage design unit;
the data updating unit is used for updating and calculating accuracy of the sediment flushing data pushed by the data pushing unit in a certain time period, updating the sediment flushing data according to the accuracy calculation result, and synchronizing the updating result to the client.
Another aspect of the present invention provides an intelligent monitoring system and method for bridge foundation scouring, comprising the following steps:
Step A, acquiring bridge foundation flushing data through a sediment flushing real-time acquisition module, storing the acquired bridge foundation flushing data, classifying and screening the bridge foundation flushing data once, transmitting the bridge foundation flushing data to a database intelligent analysis module in real time, and then entering the step B;
B, updating the data storage library based on the bridge foundation flushing data by the database intelligent analysis module, secondarily classifying the bridge foundation flushing data by combining the stored data in the data storage library, and then entering the step C;
Step C, the data intelligent screening module is respectively communicated with the sediment flushing real-time acquisition module and the database intelligent analysis module in an interconnected manner to obtain classification results of bridge foundation flushing data, screening, analyzing and identifying are carried out on the classification results, sediment flushing data are obtained according to a preset method, sediment flushing data are further automatically matched according to user requirements, sediment matching results are obtained, and then step D is carried out;
And D, pushing the sediment matching result obtained in the step C to the client, obtaining the pushing matching degree, and updating the storage data in the data storage library according to the matching degree to realize real-time monitoring and control of bridge basic data.
Further, the step a includes:
step A1, acquiring and acquiring bridge foundation flushing data in real time, and creating a data classification label of a preset type based on the bridge foundation flushing data;
step A2, caching historical bridge foundation flushing data and corresponding data classification labels thereof, and using the data and the bridge foundation flushing data obtained in real time to construct a new data storage library, and then entering step A3;
and A3, classifying the bridge foundation flushing data obtained in the step A1, and classifying and marking the bridge foundation flushing data based on the created data classification label.
Further, the step B includes:
step B1, classifying and storing bridge foundation data by combining data classification labels of all preset types based on the result obtained in the step A;
And B2, generating a second label for marking the abnormal bridge foundation data, further establishing a corresponding relation between the data classification label and the second label, and finishing marking all bridge foundation data.
Further, the step C includes:
step C1, communication connection is established among a primary classification unit of the sediment flushing real-time acquisition module, a secondary classification unit of the database intelligent analysis module and the data intelligent pushing module, and then step C2 is carried out;
Step C2, in the communication process, based on the classification results of the step A and the step B, sediment flushing data are obtained, sediment flushing data meeting the requirements of users are selected from the sediment flushing data according to preset screening conditions, the screened sediment flushing data are sent to a communication unit, and then the step C3 is carried out;
The sediment scouring data are screened by calculating the variation energy of the bridge, and the method specifically comprises the following steps:
and C2-1, calculating a recording average value of the bridge, and according to the following formula:
，
Wherein i is the number of each bridge, i is an integer greater than or equal to 1 and less than or equal to n, and n is the number of bridges; k is a dimension number, K is greater than or equal to 1 and less than or equal to K, K is a classification label dimension of the acquired sediment data, J is the current acquisition times, J is the total acquisition times, sediment flushing data are acquired within a preset time interval, The value of the kth dimension acquired for the j times of the bridge i;
step C2-2, obtained according to step C2-1 Calculating the variation coefficient/>, in the last 1000 times of data acquisition, of the kth dimension of the bridge iThe calculation formula is as follows:
，
Step C2-3, according to the obtained And/>Calculating variation energy/>, of kth dimension of bridge i, in the last 1000 data acquisition timeThe calculation formula is as follows:
，
Wherein, Taking 3.14, e as natural number, if calculating variation energyIf the absolute value of the dimension k is larger than 0.5, the k dimension of the bridge i is larger in the latest 1000 times of data acquisition time, potential safety hazards possibly exist, abnormal data are sent to the communication unit, otherwise, the k dimension k of the bridge i is free of obvious abnormality in the latest 1000 times of data acquisition time, and calculation results do not need to be sent to the communication unit.
And C3, the communication unit communicates with the connection established between the modules, and the screened sediment flushing data meeting the user requirements is forwarded to the modules in real time, so that information synchronization is realized.
Further, the step D includes:
Step D1, pushing sediment flushing data and a mark corresponding to the sediment flushing data to a client based on the second label obtained in the step B2;
And D2, updating and calculating accuracy of the sediment flushing data pushed by the data pushing unit in a certain time period, updating the sediment flushing data according to the accuracy calculation result, and synchronizing the updating result to the client.
Compared with the prior art, the on-line monitoring system and method based on bridge foundation scouring have the following technical effects:
when a user performs data screening, the method and the device can acquire a targeted screening result scheme, update data resources in real time according to the push matching degree, ensure timeliness of the data in the push process, and simultaneously combine the data synchronous real-time storage function provided by the database intelligent analysis module, so that obvious effects are realized on improving the efficiency of a system data screening flow, the quality of system screening and the user experience degree, and the user can obtain real and effective data resource information.
Drawings
FIG. 1 is a schematic diagram of an on-line monitoring system based on bridge foundation flushing according to the present invention;
fig. 2 is a schematic flow chart of an online monitoring method based on bridge foundation flushing.
Detailed Description
For a better understanding of the technical content of the present invention, specific examples are set forth below, along with the accompanying drawings.
Aspects of the invention are described in this disclosure with reference to the drawings, in which are shown a number of illustrative embodiments. The embodiments of the present disclosure need not be defined to include all aspects of the present invention. It should be understood that the various concepts and embodiments described above, as well as those described in more detail below, may be implemented in any of a number of ways, as the disclosed concepts and embodiments are not limited to any implementation. Additionally, some aspects of the disclosure may be used alone or in any suitable combination with other aspects of the disclosure.
Referring to fig. 1-2, the present invention provides the following technical solutions: the intelligent monitoring system and the intelligent monitoring method for the bridge foundation flushing are used for monitoring and controlling the bridge foundation flushing data and comprise a sediment flushing real-time acquisition module, a database intelligent analysis module, a data intelligent screening module and a data intelligent pushing module;
the sediment scouring real-time acquisition module is used for acquiring the bridge foundation scouring data, storing the acquired bridge foundation scouring data, classifying and screening the bridge foundation scouring data once, and transmitting the bridge foundation scouring data to the database intelligent analysis module in real time;
the intelligent database analysis module updates the data storage library based on the bridge foundation flushing data, and performs secondary classification on the bridge foundation flushing data by combining historical storage data in the storage library;
the intelligent data screening module is respectively connected with the sediment flushing real-time acquisition module and the intelligent database analysis module, and is connected with the sediment flushing real-time acquisition module and the intelligent database analysis module to obtain classification results of bridge foundation flushing data, screen, analyze and identify the classification results to obtain sediment flushing data, and automatically match the sediment flushing data according to user requirements;
The data intelligent pushing module is used for pushing the sediment flushing data screened in the data intelligent screening module to the client, acquiring pushing matching degree, updating data resources according to the matching degree, and realizing monitoring control of bridge basic data.
Based on an online monitoring system based on bridge foundation flushing, the invention also provides an intelligent monitoring system and method for bridge foundation flushing, comprising the following steps:
Step A, acquiring bridge foundation flushing data through a sediment flushing real-time acquisition module, storing the acquired bridge foundation flushing data, classifying and screening the bridge foundation flushing data once, transmitting the bridge foundation flushing data to a database intelligent analysis module in real time, and then entering the step B;
B, updating the data storage library based on the bridge foundation flushing data by the database intelligent analysis module, secondarily classifying the bridge foundation flushing data by combining the stored data in the data storage library, and then entering the step C;
Step C, the data intelligent screening module is respectively communicated with the sediment flushing real-time acquisition module and the database intelligent analysis module in an interconnected manner to obtain classification results of bridge foundation flushing data, screening, analyzing and identifying are carried out on the classification results, sediment flushing data are obtained according to a preset method, sediment flushing data are further automatically matched according to user requirements, sediment matching results are obtained, and then step D is carried out;
And D, pushing the sediment matching result obtained in the step C to the client, obtaining the pushing matching degree, and updating the storage data in the data storage library according to the matching degree to realize real-time monitoring and control of bridge basic data.
The sediment scouring real-time acquisition module comprises a data acquisition unit, a data storage unit and a primary classification unit, wherein the data acquisition unit acquires bridge foundation scouring data in real time, and creates a data classification label of a preset type based on the bridge foundation scouring data, wherein the data classification label comprises, but is not limited to, water flow speed, water flow temperature, water flow direction, sludge depth and other data classifications within the same time range; the data storage unit caches historical bridge foundation flushing data and corresponding data classification labels thereof, and the data storage unit is used for constructing a new data storage library together with the bridge foundation flushing data acquired in real time; and then the primary classification unit classifies the obtained bridge foundation flushing data, and performs classification marking on the bridge foundation flushing data based on the created data classification label, so that the query efficiency of a user in ordinary retrieval can be improved through the primary classification marking, and a large amount of bridge foundation flushing data meeting the requirements of the user in a certain time range can be screened out in the shortest time.
B, combining the step B, wherein the database intelligent analysis module comprises a storage design unit and a secondary classification unit, and the storage design unit performs classified storage on bridge basic data by combining data classification labels of all preset types based on the results obtained in the step A; the secondary classification unit generates a second label for marking the abnormal bridge basic data, a corresponding relation between the data classification label and the second label is further established, marking of all bridge basic data is completed, when a user performs data query through the second label, the database intelligent analysis module performs accurate data pushing based on the association degree of the abnormal bridge basic data and the data classification label provided by the primary classification unit, and provides data query results for the user according to the sequence of the association degree from high to low, so that resource screening time is saved, and system experience of the user is improved.
The data intelligent screening module comprises a connecting unit, a screening unit and a communication unit, wherein the connecting unit establishes communication connection among a primary classification unit of the sediment scouring real-time acquisition module, a secondary classification unit of the database intelligent analysis module and the data intelligent pushing module; in the communication process, the screening unit obtains sediment flushing data based on the classification results of the step A and the step B, selects sediment flushing data meeting the requirements of users from the sediment flushing data according to preset screening conditions, and sends the screened sediment flushing data to the communication unit; the communication unit is used for communicating the connection established between the modules, and forwarding the screened sediment flushing data meeting the user requirements to the modules in real time to realize information synchronization.
As a preferable scheme, sediment flushing data meeting the requirements of users are screened out from flushing data of a plurality of bridges, but under abnormal conditions, such as rapid sediment quantity increase, rapid sediment thickness expansion and the like in a short time, potential safety hazards or safety accidents can be caused to the bridges or bridge bodies. In order to avoid the occurrence of the above situation, the system performs exception analysis on the collected sediment flushing data, and if some indexes in the current analysis time period are abnormal, the pushing client is marked in time, and the exception analysis method is as follows:
Step one: let observe a certain bridge and totally n bridges, i is each bridge number, i is the integer greater than or equal to 1 and less than or equal to n. Let K be the dimension of the sediment data collected, K be the dimension number, K is greater than or equal to 1 and less than or equal to K. The system collects data once per unit time, For the value of the bridge i in the kth dimension acquired j times, the average value/>, of the bridge i in the kth dimension of the last 1000 timesThe method comprises the following steps:
，
J is the total number of times of the kth dimension of the bridge i collected currently, and when J is less than or equal to 1000, namely J is less than or equal to 1000, the average value of all collection records is obtained; when J is more than or equal to 1000, namely J is more than 1000, taking 1000 recently acquired records to calculate a mean value;
Step two: according to the mean value of the step one Calculating the variation coefficient of the kth dimension of the bridge i in the time of last 1000 data acquisitionThe calculation formula is as follows:
，
step three, according to the results of the calculation in the step one and the calculation in the step two, calculating the variation energy of the kth dimension of the bridge i in the time of the last 1000 data acquisition times The calculation formula is as follows:
，
Wherein the method comprises the steps of Taking 3.14, e is a natural number. If the variation energy is calculatedIf the absolute value of (2) is greater than 0.5, the k dimension of the bridge i is shown to have larger change in the latest 1000 times of data acquisition time, and potential safety hazards possibly exist; otherwise, the kth dimension of the bridge i is free from obvious abnormality in the last 1000 data acquisition time.
Repeating the steps until all the variable energy of all the K dimensions of the bridge are calculated, marking the data with potential safety hazards, and pushing the data to the client.
And D, the data intelligent pushing module comprises a data pushing unit and a data updating unit, and the data pushing unit pushes sediment flushing data and marks corresponding to the sediment flushing data to the client based on the second tag obtained in the step B; and the data updating unit updates and calculates the accuracy of the sediment flushing data pushed by the data pushing unit in a certain time period, updates the sediment flushing data according to the accuracy calculation result, and synchronizes the update result to the client.
While the invention has been described with reference to preferred embodiments, it is not intended to be limiting. Those skilled in the art will appreciate that various modifications and adaptations can be made without departing from the spirit and scope of the present invention. Accordingly, the scope of the invention is defined by the appended claims.
Claims (10)
1. The intelligent monitoring system for the bridge foundation scouring is used for monitoring and controlling the bridge foundation scouring data and is characterized by comprising a sediment scouring real-time acquisition module, a database intelligent analysis module, a data intelligent screening module and a data intelligent pushing module;
The sediment flushing real-time acquisition module is used for acquiring basic flushing data of the bridge, storing the acquired basic flushing data of the bridge, classifying and screening the basic flushing data of the bridge once, and transmitting the basic flushing data of the bridge to the database intelligent analysis module in real time;
the intelligent database analysis module updates the data storage library based on the bridge foundation flushing data, and performs secondary classification on the bridge foundation flushing data by combining historical storage data in the storage library;
the intelligent data screening module is respectively connected with the sediment flushing real-time acquisition module and the intelligent database analysis module, and is connected with the sediment flushing real-time acquisition module and the intelligent database analysis module to obtain classification results of bridge foundation flushing data, screen, analyze and identify the classification results to obtain sediment flushing data, and automatically match the sediment flushing data according to user requirements;
The data intelligent pushing module is used for pushing the sediment flushing data screened in the data intelligent screening module to the client, acquiring pushing matching degree, updating data resources according to the matching degree, and realizing monitoring control of bridge basic data.
2. The online monitoring system based on bridge foundation flushing according to claim 1, wherein the sediment flushing real-time acquisition module comprises a data acquisition unit, a data storage unit and a primary classification unit;
the data extraction unit is used for acquiring the bridge foundation scouring data in real time and creating a data classification tag of a preset type based on the bridge foundation scouring data;
The data storage unit is used for caching historical bridge foundation flushing data and corresponding data classification labels thereof from the database intelligent analysis module and constructing a new data storage library with the bridge foundation flushing data acquired in real time;
the primary classification unit is used for classifying the bridge foundation flushing data obtained by the data extraction unit and classifying and marking the bridge foundation flushing data based on the created data classification label;
the data classification label is used for marking sediment flushing amount, water flow direction, water flow speed and water surface distance.
3. The online monitoring system based on bridge foundation flushing according to claim 2, wherein the database intelligent analysis module comprises a storage design unit and a secondary classification unit;
the storage design unit is based on a data storage unit in the sediment flushing real-time acquisition module, and performs classified storage by combining data classification labels of all preset types;
The secondary classification unit is used for generating a second label, and the second label is used for marking abnormal bridge foundation flushing data;
the memory design unit is composed of a first marking layer, a second marking layer and an abnormal data marking layer.
4. An online monitoring system based on bridge foundation flushing according to claim 3, wherein the data intelligent screening module comprises a connection unit, a screening unit and a communication unit;
the connecting unit is used for connecting the primary classifying unit of the sediment scouring real-time acquisition module, the secondary classifying unit of the database intelligent analysis module and the data intelligent pushing module, and communication connection is established among the module units;
The screening unit is used for acquiring sediment flushing data based on the classification results of the primary classification unit and the secondary classification unit in the communication process, selecting sediment flushing data meeting the user requirements from the sediment flushing data according to preset screening conditions, and sending the screened sediment flushing data to the communication unit;
The communication unit is used for communicating through connection established between each module by the connection unit, and forwarding the screened sediment flushing data meeting the user requirements to each module in real time, so that information synchronization is realized.
5. The online monitoring system based on bridge foundation flushing according to claim 4, wherein the data intelligent pushing module comprises a data pushing unit and a data updating unit;
The data pushing unit pushes sediment flushing data and marks corresponding to the sediment flushing data to the client based on the abnormal data marking layer in the storage design unit;
the data updating unit is used for updating and calculating accuracy of the sediment flushing data pushed by the data pushing unit in a certain time period, updating the sediment flushing data according to the accuracy calculation result, and synchronizing the updating result to the client.
6. The on-line monitoring method based on bridge foundation scouring is characterized by comprising the following steps of:
step A, acquiring basic scour data of each bridge through a sediment scour real-time acquisition module, storing the acquired basic scour data of the bridge, classifying and screening the basic scour data of the bridge once, and transmitting the basic scour data of the bridge to a database intelligent analysis module in real time;
Step B, updating the data storage library based on the bridge foundation flushing data by the database intelligent analysis module, and secondarily classifying the bridge foundation flushing data by combining the stored data in the data storage library;
Step C, the data intelligent screening module is respectively communicated with the sediment flushing real-time acquisition module and the database intelligent analysis module in an interconnected manner to obtain classification results of bridge foundation flushing data, screening, analyzing and identifying the classification results, acquiring sediment flushing data according to a preset method, and further automatically matching the sediment flushing data according to user requirements to obtain matching results;
And D, pushing the data of the matching result obtained in the step C to the client, obtaining the pushing matching degree, and updating the storage data in the data storage library according to the matching degree to realize real-time monitoring and control of the bridge basic data.
7. The method for online monitoring of bridge foundation flushing according to claim 6, wherein in step a, the method comprises:
a1, acquiring bridge foundation scouring data in real time, and creating a data classification tag of a preset type based on the bridge foundation scouring data;
A2, historical bridge foundation flushing data and corresponding data classification labels are used for constructing a new data storage library with the bridge foundation flushing data acquired in real time;
and A3, classifying the bridge foundation flushing data obtained in the step A1, and classifying and marking the bridge foundation flushing data based on the created data classification label.
8. The method for online monitoring of bridge foundation flushing according to claim 7, wherein in the step B, the method comprises:
step B1, classifying and storing bridge foundation data by combining data classification labels of all preset types based on the result obtained in the step A;
And B2, generating a second label for marking the abnormal bridge foundation data, further establishing a corresponding relation between the data classification label and the second label, and finishing marking all bridge foundation data.
9. The method for online monitoring of bridge foundation flushing according to claim 8, wherein in step C, the method comprises:
Step C1, communication connection is established among a primary classification unit of the sediment flushing real-time acquisition module, a secondary classification unit of the database intelligent analysis module and the data intelligent pushing module;
Step C2, based on the classification results of the step A and the step B, sediment flushing data are obtained, sediment flushing data meeting the requirements of users are selected from the sediment flushing data according to preset screening conditions, and the screened sediment flushing data are sent to a communication unit;
The sediment scouring data are screened by calculating the variation energy of the bridge, and the method specifically comprises the following steps:
Step C2-1, calculating the recording average value of the bridge According to the following formula:
，
Wherein i is the number of each bridge, i is an integer greater than or equal to 1 and less than or equal to n, and n is the number of bridges; k is a dimension number, K is greater than or equal to 1 and less than or equal to K, K is a classification label dimension of the acquired sediment data, J is the current acquisition times, J is the total acquisition times of acquiring sediment flushing data in a preset time interval, The value of the kth dimension acquired for the jth time for the bridge i;
step C2-2, obtained according to step C2-1 Calculating the variation coefficient/>, in the last 1000 times of data acquisition, of the kth dimension of the bridge iThe calculation formula is as follows:
，
Step C2-3, according to the obtained And/>Calculating variation energy/>, of kth dimension of bridge i, in the last 1000 data acquisition timeThe calculation formula is as follows:
，
Wherein, Taking 3.14 and e as natural numbers, if the variation energy/>, thenIf the absolute value of the dimension k of the bridge i is larger than 0.5, the k dimension k of the bridge i is larger in the last 1000 times of data acquisition time, potential safety hazards possibly exist, abnormal data are sent to the communication unit, otherwise, the k dimension k of the bridge i is free of obvious abnormality in the last 1000 times of data acquisition time, and calculation results do not need to be sent to the communication unit;
And C3, the communication unit communicates with the connection established between the modules, and the screened sediment flushing data meeting the user requirements is forwarded to the modules in real time, so that information synchronization is realized.
10. The method for online monitoring of bridge foundation flushing according to claim 9, wherein in step D, the method comprises:
Step D1, pushing sediment flushing data and a mark corresponding to the sediment flushing data to a client based on the second label obtained in the step B2;
And D2, updating and calculating accuracy of the sediment flushing data pushed by the data pushing unit in a certain time period, updating the sediment flushing data according to the accuracy calculation result, and synchronizing the updating result to the client.
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