CN117422427A - Online batch analysis method and system for low-strain data - Google Patents
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Abstract
The invention discloses an online batch analysis method and system for low-strain data, wherein the method comprises the following steps: creating project information based on the project number in the project management table in response to receiving a creation request for the project; carrying out format modification on the first detection information to obtain second detection information; performing position verification according to the GPS positioning information and the item number, setting a valid data identifier if the verification is successful, and adding the valid data identifier into a to-be-inspected list if the verification is failed; updating project node information of the project information according to the pile number; performing defect positioning analysis on project node information to obtain pile body integrity analysis information; in response to receiving a batch analysis parameter adjustment request, updating a corresponding preview graph; and responding to the received report analysis request for the engineering project, and summarizing to obtain a detection result. The method and the device effectively solve the problem that the detection data formats of all factories are incompatible with each other, and improve the low-strain detection efficiency and the result accuracy.
Description
Technical Field
The application relates to the technical field of engineering detection, in particular to an online batch analysis method and system for low-strain data.
Background
On the one hand, in a plurality of engineering projects, instruments and equipment with different models of different manufacturers may be used, and detection data formats of the manufacturers are inconsistent and incompatible, so that off-line analysis needs to install respective analysis software, analysis cannot be performed across instruments, and compatibility and flexibility are lacking in batch analysis. On the other hand, the existing analysis software can set pile parameters and analysis parameters to the same value in batches, but because the parameters of each pile are usually different in engineering practice, the batch analysis function is greatly weakened, and only the filter parameter setting in the analysis parameters is effective. In the analysis process, the pile length, the pile diameter, the index amplification coefficient and the result channel selection of each pile are all required to be independently set, and a large number of repeated simple operations exist, which is tedious and time-consuming. After analysis is completed, a pile parameter list is required to be exported from the software, copied into a word template, a preliminary result table is edited, and then the pile body integrity description and category conclusion are conducted by contrasting a waveform curve. If the preliminary result is manually obtained, errors are easy to occur, and a person who obtains the preliminary result is difficult to find, and the circulation approval process needs to be modified for many times, so that the detection result is long in obtaining time, and timeliness is affected.
Therefore, the existing low strain detection method has the defects of low detection data compatibility, time-consuming detection operation and low detection timeliness.
Disclosure of Invention
In order to overcome the defects and shortcomings in the prior art, the application provides an online batch analysis method and system for low-strain data.
In order to achieve the above purpose, the present invention adopts the following technical scheme:
according to one aspect of the present application, there is provided an on-line batch analysis method of low strain data, including: in response to receiving a creation request for an engineering project, setting a corresponding project number based on the engineering project, and creating engineering project information based on the project number in an engineering management table;
receiving first detection information corresponding to the pile number, and carrying out format modification on the first detection information to obtain second detection information so as to unify a data format;
based on the second detection information, carrying out position verification according to the GPS positioning information and the project number, setting a valid data identifier if the verification is successful, setting an invalid data identifier if the verification is failed, and adding the second detection information into a to-be-inspected list, wherein the to-be-inspected list stores all the second detection information with the invalid data identifier, and is used for prompting a inspector to re-detect the invalid data in time;
Determining corresponding project information according to the project number in the project management table, and updating project node information of the project information according to second detection information with effective data identification according to the stake number;
when the detection completion confirmation information of the engineering project is true, carrying out defect positioning analysis on project node information to obtain pile body integrity analysis information, wherein each pile body integrity analysis information is matched and corresponds to the project number and the pile number;
in response to receiving a batch analysis parameter adjustment request, determining pile body integrity analysis information in a to-be-adjusted state according to the item number and the pile number, updating a corresponding preview graph of the pile body integrity analysis information in the to-be-adjusted state according to a channel selection information table, and further clearing the to-be-adjusted state;
in response to receiving a report analysis request for an engineering project, summarizing all relevant pile body integrity analysis information based on the project number to obtain detection results, wherein each pile body integrity analysis information corresponds to one pile number, and each detection result corresponds to the project number one by one;
the engineering management table comprises a plurality of engineering project information, each engineering project information is bound with a corresponding unique project number, each engineering project information comprises an engineering basic information item, an acquisition information item, an engineering supplementary information item, a participation unit item and an engineering accessory item, the acquisition information item is used for storing second detection information, the acquisition information item distinguishes different second detection information through different pile numbers, the first detection information comprises GPS positioning information, low-strain data and instrument models, the batch analysis parameter adjustment request comprises a project number, a pile number and a channel selection information table, and the channel selection information table comprises a matching relation between each waveform channel and a corresponding waveform tool type.
Preferably, the method further comprises: and in response to the fact that the detection completion confirmation information for the engineering project is set to be true, judging whether the number of detected piles is equal to the number of planned detection piles, if so, continuing to execute the subsequent steps, and if not, generating detection prompt information for prompting a detector to detect missing detection tasks.
Preferably, the method for modifying the format of the first detection information to obtain the second detection information specifically includes:
receiving first detection information corresponding to the pile number, extracting instrument model and low-strain data from the first detection information, matching a modification rule through the instrument model based on a preset format modification set, modifying the format of the low-strain data into a standardized format by using the modification rule if the modification rule is a non-null value, modifying all formats of the low-strain data into a preset standardized format into a unified data format, and combining GPS positioning information and the low-strain data unified into the standardized format to obtain second detection information;
the format modification set is used for modifying the format of the low-strain data into a standardized format so as to ensure that all the formats of the low-strain data are consistent when the low-strain data are stored, and comprises an instrument model and a modification rule corresponding to the instrument model, wherein if the modification rule is a null value, the modification rule does not need to be modified, and if the modification rule is a non-null value, the modification rule does need to be modified.
Preferably, in the position verification according to the GPS positioning information and the item number, specifically including: each item number corresponds to at least one preset item position range, if the GPS positioning information is overlapped with any item position range, the verification is considered to be successful, and otherwise, the verification is considered to be failed.
Preferably, in updating project node information of the project information according to the second detection information with the valid data identifier, the method specifically includes: in the engineering management table, if the project number and the stake number of one project node information are consistent with the project number and the stake number corresponding to the second detection information, the project node information is subjected to data replacement based on the second detection information, and if the project node information is not present, the project node information is subjected to new project information based on the second detection information.
Preferably, the pile body integrity analysis information specifically includes a preview graph corresponding to a pile number and a preview result table corresponding to the preview graph, wherein the preview result table includes a detection sequence number, a pile diameter, a pile length, a wave speed, an instrument model, sampling parameters, time parameters, GPS positioning information and defect positioning information;
the defect positioning analysis is performed on project node information to obtain pile body integrity analysis information, which specifically comprises the following steps: stress wave time sequence data are extracted from project node information to be used as input, defect positioning information is obtained by recognition based on a pre-trained pile body defect positioning model, and the defect positioning information comprises defect severity identification and a defect position point set;
Based on the pile number, packing the detection sequence number, the pile diameter, the pile length, the wave speed, the instrument model, the sampling parameters, the time parameters, the GPS positioning information and the defect positioning information into a preview result table for generating pile body integrity analysis information;
the pile body defect positioning model is obtained through machine learning training by using a plurality of groups of data in advance, when in training, the plurality of groups of data comprise a plurality of stress wave time sequence data and defect positioning information corresponding to the stress wave time sequence data, the defect severity is marked as an identification value corresponding to four types aiming at the integrity of the pile body, a first preset identification value is set to correspond to a type I pile, a second preset identification value is set to correspond to a type II pile, a third preset identification value is set to correspond to a type III pile, a fourth preset identification value is set to correspond to a type IV pile, and the defect position point set comprises defect occurrence time points respectively corresponding to all defect positions.
Preferably, the method further comprises: collecting corresponding stress transfer data based on pile numbers, wherein the stress transfer data comprises stress data and soil pressure data, and the stress transfer data is used for reflecting the influence condition of stress transfer between piles on pile foundations;
Screening all pile numbers belonging to the same project number, determining adjacent pile sets of each pile number based on a preset pile distance, and sequentially calculating stress transfer influence degree corresponding to each pile number based on the adjacent pile sets;
determining pile numbers with stress transfer influence degree larger than or equal to a preset stress transfer influence degree threshold as pile numbers to be pre-warned, and counting all pile numbers to be pre-warned to pack to generate stress transfer pre-warning prompt information;
the stress transfer influence degree is specifically expressed as:
;
wherein the method comprises the steps ofIndicate->Stress transmission influence degree corresponding to each pile number, < ->For the current number of iterations in the set of adjacent piles, +.>Is->Total number of adjacent pile sets corresponding to individual pile numbers, < >>Is->The stress amplitude corresponding to the pile number,is->The adjacent pile set of the individual pile number is +.>Stress amplitude values corresponding to adjacent pile numbers, < ->Is->Soil pressure amplitude corresponding to each pile number, +.>Is->The adjacent pile set of the individual pile number is +.>Soil pressure amplitude values corresponding to the adjacent pile numbers;
the preset stress transfer influence degree threshold value of each pile number is different, and is determined by the average pile distance in the adjacent pile set corresponding to the pile number based on a preset stress transfer influence degree rule table, wherein the average pile distance in the adjacent pile set corresponding to the pile number is specifically expressed as:
;
Wherein the method comprises the steps ofIndicate->Average pile pitch in adjacent pile set corresponding to individual pile number +.>Indicate->The first ∈of each pile number and the corresponding adjacent pile set>Pile distance values between adjacent pile numbers;
the stress transfer influence degree rule table is used for representing a mapping relationship between a preset average pile distance range and a preset stress transfer influence degree threshold value, and comprises a plurality of preset average pile distance ranges, if the present firstAnd if the average pile distance in the adjacent pile set corresponding to the pile number is within the preset average pile distance range, matching a preset stress transmission influence threshold corresponding to the preset average pile distance range.
Preferably, in determining the adjacent pile set of each pile number based on the preset pile distance, specifically: and (3) taking the current pile number as a center, and outwards determining an adjacent range by taking a preset pile distance, if one adjacent pile is in the adjacent range, adding the adjacent pile into an adjacent pile set of the pile number, otherwise, not processing.
According to another aspect of the present application, there is also provided an on-line batch analysis system of low strain data, comprising: the project creation module is used for responding to the received creation request for the project, setting corresponding project numbers based on the project, and creating project information based on the project numbers in the project management table;
The format unification module is used for receiving the first detection information corresponding to the pile number, carrying out format modification on the first detection information to obtain second detection information, and unifying the data format;
the data validity verification module is used for verifying the position according to the GPS positioning information and the project number based on the second detection information, setting a valid data identifier if the verification is successful, setting an invalid data identifier if the verification fails and adding the second detection information into a to-be-inspected list, wherein the to-be-inspected list stores all the second detection information with the invalid data identifier, and the to-be-inspected list is used for prompting a inspector to re-detect the invalid data in time;
the project updating module is used for determining corresponding project information according to project numbers in the project management table, and updating project node information of the project information according to second detection information with effective data identification by stake numbers;
the defect positioning analysis module is used for performing defect positioning analysis on project node information to obtain pile body integrity analysis information when the detection completion confirmation information of the project is true, and each pile body integrity analysis information is matched and corresponds to the project number and the pile number;
The analysis parameter adjusting module is used for responding to the received batch analysis parameter adjusting request, determining pile body integrity analysis information in a to-be-adjusted state according to the project number and the pile number, updating a corresponding preview graph of the pile body integrity analysis information in the to-be-adjusted state according to the channel selection information table, and further clearing the to-be-adjusted state;
the report analysis module is used for responding to a report analysis request for the engineering project, and summarizing all relevant pile body integrity analysis information based on the project number to obtain a detection result;
the missing detection module is used for judging whether the number of the detected piles is equal to the number of the planned detection piles or not when the detection completion confirmation information for the engineering project is set to be true, if so, continuing to execute the subsequent steps, and if not, generating detection prompt information which is used for prompting a detection person to detect missing detection tasks;
the stress transfer data acquisition module is used for acquiring corresponding stress transfer data based on pile numbers, and the stress transfer data are used for reflecting the influence condition of stress transfer between piles on pile foundations;
the stress transfer influence degree calculation module is used for screening all pile numbers belonging to the same project number, determining an adjacent pile set of each pile number based on a preset pile distance, and sequentially calculating the stress transfer influence degree corresponding to each pile number based on the adjacent pile set;
The stress transfer early warning prompt module is used for determining pile numbers with stress transfer influence degree larger than or equal to a preset stress transfer influence degree threshold value as pile numbers to be early warned, and counting all pile numbers to be early warned to package and generate stress transfer early warning prompt information;
the stress transfer influence degree is specifically expressed as:
;
wherein the method comprises the steps ofIndicate->Stress transmission influence degree corresponding to each pile number, < ->For the current number of iterations in the set of adjacent piles, +.>Is->Total number of adjacent pile sets corresponding to individual pile numbers, < >>Is->The stress amplitude corresponding to the pile number,is->The adjacent pile set of the individual pile number is +.>Stress amplitude values corresponding to adjacent pile numbers, < ->Is->Soil pressure amplitude corresponding to each pile number, +.>Is->The adjacent pile set of the individual pile number is +.>Soil pressure amplitude values corresponding to the adjacent pile numbers;
the preset stress transfer influence degree threshold value of each pile number is different, and based on a preset stress transfer influence degree rule table, the preset stress transfer influence degree threshold value is determined by the average pile distance in the adjacent pile set corresponding to the pile number, and the average pile distance in the adjacent pile set corresponding to the pile number is specifically expressed as:
;
wherein the method comprises the steps ofIndicate->Average pile pitch in adjacent pile set corresponding to individual pile number +. >Indicate->The first ∈of each pile number and the corresponding adjacent pile set>Pile distance values between adjacent pile numbers.
According to another aspect of the present application, there is also provided a storage medium for storing program code for performing an on-line batch analysis method of low strain data as described in any one of the above.
Compared with the prior art, the invention has the following advantages and beneficial effects:
(1) The second detection information is obtained by carrying out format modification on the first detection information, so that unification of data formats of different instrument models is realized, low-strain data of different manufacturers are compatible, and the compatibility of a server for analyzing the low-strain data is improved; the position verification is carried out according to the GPS positioning information and the item number, if the verification is successful, a valid data identifier is set, if the verification is failed, an invalid data identifier is set, and the second detection information is added into a to-be-inspected list, so that the safety and reliability of data verification are improved, and errors generated when a subsequent report is sent due to the invalid data are avoided; updating project node information of the project information according to the pile number, and performing defect positioning analysis on the project node information to obtain pile body integrity analysis information when the detection completion confirmation information of the project is true, wherein each pile body integrity analysis information is matched and corresponds to the project number and the pile number, so that the convenience in online batch data analysis is improved, and the detection efficiency and analysis efficiency of detection personnel are improved; updating a corresponding preview graph of pile body integrity analysis information in a state to be adjusted according to the channel selection information table, so that the state to be adjusted is cleared, and the convenience of online batch data modification is improved; and summarizing all relevant pile body integrity analysis information based on the project number to obtain a detection result, so that the process of detecting and reporting is quicker, more efficient and more accurate.
(2) The pile detection method and device have the advantages that whether the number of detected piles is equal to the number of planned detection piles or not is judged, when the number of detected piles is unequal to the number of planned detection piles, the situation that the piles to be detected are not detected is existed at the moment, detection prompt information is utilized to prompt detection personnel to detect the missed pile again in time, defects or damage existing in the pile body are detected in time through detection of each pile, potential safety hazards caused by missing detection are avoided, safety and stability of a building are guaranteed, reworking and remedying situations can be reduced, and construction efficiency is improved.
(3) All pile numbers belonging to the same project number are screened, the adjacent pile set of each pile number is determined based on the preset pile distance, the stress transfer influence degree corresponding to each pile number is sequentially calculated based on the adjacent pile set, the pile numbers with the stress transfer influence degree larger than or equal to the preset stress transfer influence degree threshold value are determined to be pile numbers to be early-warned, all pile numbers to be early-warned are counted to be packed to generate stress transfer early-warning prompt information, and soil is further analyzed through combining the influence condition of the stress transfer between piles and piles to ensure the safety and stability of the whole pile foundation engineering better by aided designers and constructors.
Drawings
FIG. 1 is a flow chart of an on-line batch analysis method of low strain data according to an embodiment of the present application;
FIG. 2 is a schematic diagram illustrating an in-line batch analysis method of low strain data in performing an analysis of data regarding stress transfer according to one embodiment of the present application;
FIG. 3 is a schematic block diagram of an on-line batch analysis system for low strain data in one embodiment of the present application;
fig. 4 is a schematic structural diagram of a terminal according to an embodiment of the present application;
fig. 5 is a schematic structural diagram of a computer device according to an embodiment of the present application.
Detailed Description
In the description of the present disclosure, it is to be noted that embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While certain embodiments of the present disclosure have been shown in the accompanying drawings, it is to be understood that the present disclosure may be embodied in various forms and should not be construed as limited to the embodiments set forth herein, but are provided to provide a more thorough and complete understanding of the present disclosure. It should be understood that the drawings and embodiments of the present disclosure are for illustration purposes only and are not intended to limit the scope of the present disclosure. It should be understood that the various steps recited in the method embodiments of the present disclosure may be performed in and/or in parallel. Furthermore, method embodiments may include additional steps and/or omit performing the illustrated steps. The scope of the present disclosure is not limited in this respect.
The term "including" and variations thereof as used herein are intended to be open-ended, i.e., including, but not limited to. The term "based on" is based at least in part on. The term "one embodiment" means "at least one embodiment"; the term "another embodiment" means "at least one additional embodiment"; the term "some embodiments" means "at least some embodiments. Related definitions of other terms will be given in the description below. It should be noted that the terms "first," "second," and the like in this disclosure are merely used to distinguish between different devices, modules, or units and are not used to define an order or interdependence of functions performed by the devices, modules, or units. It should be noted that references to "a" and "an" in this disclosure are intended to be illustrative rather than limiting, and those of ordinary skill in the art will appreciate that "one or more" is intended to be construed as "one or more" unless the context clearly indicates otherwise. The names of messages or information interacted between the various devices in the embodiments of the present disclosure are for illustrative purposes only and are not intended to limit the scope of such messages or information.
The present invention will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present invention more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
In one embodiment: the present embodiment provides an on-line batch analysis method for low strain data, which can be applied to, but not limited to, a low strain data analysis system. The low-strain data analysis system is composed of a server, a plurality of acquisition terminals, a plurality of transmission terminals and a network, wherein each acquisition terminal is respectively connected and communicated with the corresponding transmission terminal through the network, and each transmission terminal is respectively connected and communicated with the server through the network, so that data interaction is completed.
In this embodiment, the acquisition terminal is specifically a low strain detection terminal, the low strain detection terminal specifically adopts at least one type of instrument and equipment, and the low strain detection terminal is used for detecting low strain data, and then transmits the low strain data to the server through the transmission terminal. The transmission terminal is specifically a mobile phone, and is used for packaging GPS positioning information, low-strain data and instrument models into first detection information, the format of the low-strain data is determined by the instrument models, the low-strain data acquired by the low-strain detection terminals of different instrument models can have different formats, and the type of the data format is determined by the model of the low-strain detection terminal;
The above network is a wireless network, wherein the wireless network includes: bluetooth, WIFI, and other networks that enable wireless communications. The server is used for carrying out format processing on the received first detection information to obtain second detection information and analyzing the second detection information to obtain a low-strain analysis result, and the server can be a single server, a server cluster formed by a plurality of servers or a cloud server.
In this embodiment, the method includes:
step S100: in response to receiving a creation request for an engineering project, setting a corresponding project number based on the engineering project, and creating engineering project information based on the project number in an engineering management table;
in this embodiment, the execution body of the method is a server, and the engineering management table includes a plurality of engineering project information, where each engineering project information is bound with a corresponding unique project number. Each project information comprises a project basic information item, a collection information item, a project supplementary information item, a participation unit item and a project accessory item, wherein the collection information item is used for storing second detection information, and the collection information item distinguishes different second detection information through different pile numbers. Illustratively, project basic information items including the name, number, location, start and end dates of the project, the type of project, expected budget, etc., are basic description information about the project; the project supplementary information items include design of project, construction plan, materials used, purpose and intended result of project, etc.; the participating entity items comprise all units or organizations participating in engineering, corresponding contact information and work responsibilities, such as design units, construction units, supervision units, owner units and the like; the project attachment item comprises additional information such as files, drawings, reports, contracts and the like related to the project. In this embodiment, the project basic information item, the project supplementary information item, the participating entity item, and the project attachment item are text information filled in by the project staff, and are all used for project information presentation.
Step S200: receiving first detection information corresponding to the pile number, and carrying out format modification on the first detection information to obtain second detection information so as to unify a data format;
specifically, first detection information corresponding to a pile number is received, instrument model and low-strain data are extracted from the first detection information, a modification rule is matched through the instrument model based on a preset format modification set, if the modification rule is a non-null value, the format of the low-strain data is modified into a standardized format by the modification rule, all the formats of the low-strain data are modified into the preset standardized format to be in a unified data format, and then GPS positioning information and the low-strain data unified into the standardized format are combined to obtain second detection information;
in this embodiment, the format modification set is used to modify the format of the low strain data to a standardized format to ensure that all the low strain data is in a consistent format when stored. In practical application, the format modification set comprises an instrument model and a modification rule corresponding to the instrument model, wherein if the modification rule is a null value, the modification is not needed, and if the modification rule is a non-null value, the modification is needed. And comparing the format of the low-strain data corresponding to the instrument model with the standardized format for each instrument model, if at least one distinguishing point exists, forming a modification rule corresponding to the instrument model by all the distinguishing points, and if no distinguishing point exists, setting the modification rule corresponding to the instrument model as a null value.
In this embodiment, the standardized format is defined in the database by a person skilled in the art in advance, and further is a determined format when executing, and the specific format may be adjusted according to the actual situation, which is not limited herein. The low strain data includes field types such as a detection sequence number, a pile diameter, a pile length, a design strength level, a pile allocation condition, stress wave time sequence data, a wave speed, a sampling parameter, a time parameter, and the like, and the modification rule may be unit conversion of the field type with a distinguishing point, standard conversion proportion, and the like, which are not particularly limited herein.
In this embodiment, the stress wave time sequence data is a time sequence length of determining data according to a wave speed and a pile length, and how to obtain the stress wave time sequence data is the prior art and is not in the protection scope of the present application.
Step S300: based on the second detection information, carrying out position verification according to the GPS positioning information and the project number, setting a valid data identifier if the verification is successful, setting an invalid data identifier if the verification is failed, and adding the second detection information into a to-be-inspected list, wherein the to-be-inspected list stores all the second detection information with the invalid data identifier, and is used for prompting a inspector to re-detect the invalid data in time;
The position verification according to the GPS positioning information and the item number specifically comprises the following steps: each item number corresponds to at least one preset item position range, if the GPS positioning information is overlapped with any item position range, the verification is considered to be successful, and otherwise, the verification is considered to be failed.
Step S400: determining corresponding project information according to the project number in the project management table, and updating project node information of the project information according to second detection information with effective data identification according to the stake number; specifically, in the engineering management table, if the item number and stake number of one item node information are consistent with the item number and stake number corresponding to the second detection information, the item node information is replaced by data based on the second detection information, and if the item node information is not present, the engineering item information is newly added based on the second detection information.
In this embodiment, each detection task detects one pile, each detection task has a detection serial number, and each detection task corresponds to one pile number. Each detection task is created in advance according to the commissioner checking plan, and then detection personnel are arranged to execute the detection task according to the detection task. Detecting personnel arrive at a construction site and use a foundation pile low-strain method to detect and obtain low-strain data, the data transmission of the low-strain data is realized through interaction of an acquisition terminal and a transmission terminal, the transmission terminal packages GPS positioning information, the low-strain data and instrument models into first detection information, the data transmission of the first detection information is realized through interaction of the transmission terminal and a server, and further format processing is carried out through the server to obtain second detection information.
Step S500: when the detection completion confirmation information of the engineering project is true, carrying out defect positioning analysis on project node information to obtain pile body integrity analysis information, wherein each pile body integrity analysis information is matched and corresponds to the project number and the pile number; illustratively, each < item number, stake number > can match a corresponding one of the stake body integrity analysis information. In this step, the detection completion confirmation information for the engineering project is set by the detection personnel after the field detection is completed, so as to reflect the detection progress in time.
In this embodiment, the pile body integrity analysis information specifically includes a preview graph corresponding to the pile number, and a preview result table corresponding to the preview graph, where the preview result table includes a detection sequence number, a pile diameter, a pile length, a wave speed, an instrument model, sampling parameters, a time parameter, GPS positioning information, defect positioning information, and the like;
illustratively, the preview graph is a stress wave detection graph, and the preview graph may be a velocity time course graph of a stress wave propagating in a pile body, wherein a horizontal axis represents a pile body depth, and a vertical axis represents a stress wave velocity.
In this embodiment, performing defect location analysis on project node information to obtain pile body integrity analysis information specifically includes:
Step S510: stress wave time sequence data are extracted from project node information to be used as input, defect positioning information is obtained by recognition based on a pre-trained pile body defect positioning model, and the defect positioning information comprises defect severity identification and a defect position point set;
in this embodiment, the pile body defect positioning model is obtained by machine learning training using a plurality of sets of data in advance, where the plurality of sets of data includes a plurality of stress wave time series data and defect positioning information corresponding to the stress wave time series data during training. For each stress wave time sequence data, there are a corresponding defect severity identifier and a defect location point set, for example, the defect severity identifier is an identifier value corresponding to four types of pile body integrity in the building foundation pile detection technical specification (JGJ 106-2014), a first preset identifier value is set to correspond to a class I pile, a second preset identifier value is set to correspond to a class ii pile, a third preset identifier value is set to correspond to a class iii pile, and a fourth preset identifier value is set to correspond to a class iv pile. For example, the defect location point set includes defect occurrence time points corresponding to all the defect locations, and in actual detection, the defect locations may be greater than 1, so that the defect location point set includes defect occurrence time points corresponding to all the defect locations.
For example, the stress wave timing data may be a velocity time profile for the stress wave.
Before training, a plurality of sets of data are used for enabling the pile body defect positioning model to learn amplitude characteristics and defect reflection characteristics in stress wave time sequence data, marking defect position points by combining the amplitude characteristics and the defect reflection characteristics, marking defect severity identification according to the number of the defect position points and amplitude change conditions, and marking processes can be marked in advance by a person skilled in the art.
Illustratively, in the marking process, if there is a pile bottom reflected wave, judging whether there is forward reflection between the incident wave and the first pile bottom reflected wave, if so, judging that the pile bottom reflected wave is defective, namely marking the forward reflection point as a defective position point; if the pile bottom reflected wave does not exist, judging whether the ratio between the amplitude of forward reflection and the amplitude of the incident wave is larger than a preset stress wave ratio threshold value in the waveform after the incident wave, namely judging whether the reflection is defective by judging whether the ratio between the amplitude of forward reflection and the amplitude of the incident wave is larger than the preset stress wave ratio threshold value, if so, judging that the reflection is defective, and otherwise, judging that the reflection is non-defective.
In this embodiment, the preset stress wave proportion threshold is determined by the time interval between forward reflection and incident wave, and is set in advance by a detection personnel, for example, if there is a pile bottom reflected wave, for the case that there is a stress amplitude greater than 0 in the range defined between the incident wave and the first pile bottom reflected wave, the defect reflection characteristic can be judged by the presence or absence of the stress amplitude greater than 0, if there is a defect reflection characteristic, otherwise, the defect reflection characteristic is not present; amplitude characteristics can be represented by the ratio between forward reflection and incident wave; while negative reflections have a positive effect on the pile's load-bearing capacity and are not a drawback. For example, if there is no pile bottom reflected wave, in the waveform after the incident wave, if the ratio between the amplitude of the forward reflection and the amplitude of the incident wave is greater than the preset stress wave ratio threshold, then judging that the pile bottom reflected wave has a defect reflection characteristic, otherwise, judging that the pile bottom reflected wave does not have a defect reflection characteristic.
Step S520: based on the pile number, the detection sequence number, the pile diameter, the pile length, the wave speed, the instrument model, the sampling parameters, the time parameters, the GPS positioning information and the defect positioning information are packaged into a preview result table so as to be used for generating pile body integrity analysis information.
Step S600: and in response to receiving the batch analysis parameter adjustment request, determining pile body integrity analysis information in a to-be-adjusted state according to the item number and the pile number, updating a corresponding preview curve graph of the pile body integrity analysis information in the to-be-adjusted state according to the channel selection information table, and further clearing the to-be-adjusted state.
In this embodiment, the to-be-adjusted state is a state value, which is used to indicate whether pile body integrity analysis information needs to be modified, for example, TRUE using boolean value for the to-be-adjusted identification value indicates that the to-be-adjusted state is in the to-be-adjusted state, and FALSE using the to-be-adjusted identification value indicates that the to-be-adjusted state is cleared; the batch analysis parameter adjustment request comprises an item number, a stake number and a channel selection information table, wherein the channel selection information table comprises a matching relation between each waveform channel and a corresponding waveform tool type.
Exemplary waveform tool types include filtering, exponential amplification, localization defects, waveform inversion, spreading waveforms, compression waveforms, waveform recovery, and the like. The filtering is used for carrying out low-pass filtering on the current channel waveform according to the input low-pass filtering frequency value; the exponential amplification is used for carrying out exponential amplification on the current channel waveform according to the input exponential amplification multiple and the exponential amplification starting position, the exponential amplification starting position supports an absolute position mode and a relative position mode, and when the pile bottom reflected signal is not obvious, the pile bottom signal can be clearly displayed under the condition that the pile top signal is not clipped through the exponential amplification; the positioning defect is an analysis waveform corresponding to the severity of the pile body defect and is used for displaying the positioning condition of the pile body defect; the waveform inversion is used for reversely displaying the waveform curve graph of the current channel; the spreading waveform is used for processing the original signal to enhance the amplitude and frequency range of the signal, so as to spread the waveform graph; the compression waveform is used for compressing the waveform of the signal; waveform restoration is used to restore the waveform of the current waveform channel to the original waveform.
For example, the total number of the waveform channels is 10, the 1 st waveform channel corresponds to a waveform filtered with the low-pass filter frequency f1, the 2 nd waveform channel corresponds to a waveform filtered with the low-pass filter frequency f2, the 3 rd waveform channel corresponds to a waveform filtered with the low-pass filter frequency f3, the 4 th waveform channel corresponds to an exponentially amplified waveform, the 5 th waveform channel corresponds to a waveform of a positioning defect, the 6 th waveform channel corresponds to a waveform of a waveform inversion, the 7 th waveform channel corresponds to a waveform of a spreading waveform, the 8 th waveform channel corresponds to a waveform of a compression waveform, the 9 th waveform channel corresponds to a waveform of a waveform inversion, and the 10 th waveform channel corresponds to a waveform filtered with the low-pass filter frequency f 4.
If the analysis parameter is adjusted next time, for example, the 10 th waveform channel is recovered, the 10 th waveform channel corresponds to the original waveform. Correspondingly, in the batch analysis parameter adjustment request, the waveform tool type corresponding to the 10 th waveform channel in the channel selection information table is waveform recovery.
Furthermore, each waveform channel is also respectively matched with the corresponding color and the line type, so that different waveform channels are displayed in the same preview graph to be distinguished, and the browsing experience of a user is improved.
Step S700: in response to receiving a report analysis request for an engineering project, summarizing all relevant pile body integrity analysis information based on a project number to obtain a detection result;
in this embodiment, a report analysis request is initiated by a detection personnel or a detection manager by using a transmission terminal, the report analysis request includes a project number, an engineering project which needs to give a result report is determined according to the project number, and then all pile body integrity analysis information in the engineering project is summarized to obtain a detection result, that is, the detection result includes a plurality of pile body integrity analysis information, each pile body integrity analysis information corresponds to one pile number, and each detection result corresponds to the project number one by one.
In this embodiment, the method further includes:
before executing step S500, the following steps are performed:
step S500A: and in response to the fact that the detection completion confirmation information for the engineering project is set to be true, judging whether the number of detected piles is equal to the number of planned detection piles, if so, continuing to execute the subsequent steps, and if not, generating detection prompt information for prompting a detector to detect missing detection tasks.
In this embodiment, when the number of detected piles is not equal to the number of planned detected piles, there is a situation that the pile to be detected is not complete, detection prompt information is utilized to prompt detection personnel to re-detect the pile which is missed, and defects or damages existing in the pile body are timely found by detecting each pile, so that potential safety hazards caused by missing detection are avoided, safety and stability of a building are guaranteed, reworking and remedying situations can be reduced, and construction efficiency is improved.
In actual application, the method and the device realize online batch analysis and automatic result output by using a foundation pile low-strain method, and effectively solve the problems that the detection data formats of all factories are mutually incompatible, the offline analysis software has a large number of simple operation of repeatability, the manual output primary result is easy to have poor error timeliness, the data is easy to be tampered and the like; according to the method, the analysis process is changed from off-line single machine analysis to on-line multi-machine analysis, so that the low strain detection efficiency, the result accuracy and the data objectivity are improved, the informatization and digital development of a low strain method are promoted, and the method has a wide application prospect.
In yet another embodiment: the embodiment provides an online batch analysis method of low-strain data, which is used for further analyzing soil on the basis of the embodiment so as to assist designers and constructors to better ensure the safety and stability of the whole pile foundation engineering. The method further comprises the steps of:
Step S800: collecting corresponding stress transfer data based on the pile number; in this embodiment, the stress transfer data includes stress data and soil pressure data. The stress transfer data are used for reflecting the influence condition of the stress transfer between piles on the pile foundation, so that the soil mass is judged.
In practical application, the stress data can be acquired by using stress sensors to obtain corresponding stress amplitude values, and each pile foundation is provided with the stress sensor to measure stress change conditions of the pile foundation under different load actions.
In practical application, the soil pressure data can be acquired by using the soil pressure boxes, namely corresponding soil pressure amplitude values are obtained, and the soil pressure boxes are arranged in soil around each pile foundation to measure the pressure change condition of the soil under different load actions.
Step S900: screening all pile numbers belonging to the same project number, determining adjacent pile sets of each pile number based on a preset pile distance, and sequentially calculating stress transfer influence degree corresponding to each pile number based on the adjacent pile sets; in this embodiment, the preset pile distance may be set to a specific value according to practical situations, for example, between 1.5 meters and 3 meters, such as 1.5 meters, 1.8 meters, 2 meters, and the like, which is not limited herein.
In this embodiment, the adjacent pile set of each pile number is determined based on a preset pile distance, specifically, an adjacent range is determined by taking the current pile number as the center and the preset pile distance outwards, if one adjacent pile is in the adjacent range, the adjacent pile is added into the adjacent pile set of the pile number, otherwise, no processing is performed.
Step S1000: and determining pile numbers with stress transfer influence degree larger than or equal to a preset stress transfer influence degree threshold as pile numbers to be pre-warned, and counting all pile numbers to be pre-warned to package so as to generate stress transfer pre-warning prompt information.
In this embodiment, if the pile number is determined to be pre-warned, the soil mass of the pile number is poor; if the pile number is not determined to be undetermined, the soil mass of the pile number is good.
In this embodiment, the stress transmission influence degree is specifically expressed as:
;
wherein the method comprises the steps ofIndicate->Stress transmission influence degree corresponding to each pile number, < ->For the current number of iterations in the set of adjacent piles, +.>Is->Total number of adjacent pile sets corresponding to individual pile numbers, < >>Is->The stress amplitude corresponding to the pile number,is->The adjacent pile set of the individual pile number is +.>Stress amplitude values corresponding to adjacent pile numbers, < ->Is->Soil pressure amplitude corresponding to each pile number, +. >Is->The adjacent pile set of the individual pile number is +.>Soil pressure amplitudes corresponding to the adjacent pile numbers.
In this embodiment, the preset stress transfer influence degree threshold value of each pile number is different, and based on a pre-stored stress transfer influence degree rule table, the preset stress transfer influence degree threshold value is determined by an average pile distance in an adjacent pile set corresponding to the pile number, where the average pile distance in the adjacent pile set corresponding to the pile number is specifically expressed as:
;
wherein the method comprises the steps ofIndicate->Average pile pitch in adjacent pile set corresponding to individual pile number +.>Indicate->The first ∈of each pile number and the corresponding adjacent pile set>Pile distance values between adjacent pile numbers.
In this embodiment, the stress transfer influence degree rule table is a mapping relationship for representing a preset average pile distance range and a preset stress transfer influence degree threshold, and includes a plurality of preset average pile distance ranges, if the present firstAnd if the average pile distance in the adjacent pile set corresponding to the pile number is within the preset average pile distance range, matching a preset stress transmission influence threshold corresponding to the preset average pile distance range. Exemplary, for example, the preset average pile distance ranges are respectively [0, a 1), [ a1, a 2), [ a2, a 3), [ a3, a 4), [ a5, a 6), if present >Flat in adjacent pile set corresponding to each pile numberAnd if the equal pile distance is in the range of [ a1, a 2), matching the preset stress transmission influence degree threshold corresponding to the [ a1, a 2), wherein the preset stress transmission influence degree threshold is the current preset stress transmission influence degree threshold.
In this embodiment, the stress transmission early warning prompt information is used to prompt the constructor to take remedial measures for all pile numbers to be early warned, and exemplary remedial measures that the constructor can take include redesigning pile foundation, reinforcing, changing soil, etc. Redesigning the pile foundation, for example, to change the shape, size, material, etc. of the pile to improve pile-to-pile interactions; reinforcing is to add supporting and fixing measures around the pile foundation, ground anchors, fixing supports and the like, so that stability of the pile foundation is improved, and mutual influence is reduced; the soil is replaced by, for example, earth excavation, replacement and filling; the re-construction is, for example, re-arranging the location, number, etc. of pile foundations.
In addition, it should be noted that the foundation pile low strain method is a detection method for pile body integrity of a foundation pile mentioned in "building foundation pile detection technical specification (JGJ 106-2014)", which adopts a low energy transient or steady mode to excite the pile body, the excited vibration wave propagates along the pile body, the reflected wave is reflected at a defect position or the bottom of the pile body, the reflected wave is perceived by an acceleration sensor mounted at the pile body when propagating along the pile body to the pile body, a speed signal is formed after analysis processing, and the pile body integrity can be determined by time domain analysis or frequency domain analysis of a fluctuation theory. The building foundation pile detection technical specifications (JGJ 106-2014) can be classified into 4 types aiming at pile body integrity. Class I pile: the pile body is complete; class II piles: the pile body has slight defects, so that the normal exertion of the bearing capacity of the pile body structure is not influenced; class III piles: the pile body has obvious defects and influences the bearing capacity of the pile body structure; class IV piles: the pile body has serious defects, and the severity of the pile body defects is IV, III, II and I from high to low.
In yet another embodiment: the embodiment provides an on-line batch analysis system of low-strain data based on the embodiment, which corresponds to the on-line batch analysis method of low-strain data.
In this embodiment, the system includes:
the project creation module is used for responding to the received creation request for the project, setting corresponding project numbers based on the project, and creating project information based on the project numbers in the project management table;
the format unification module is used for receiving the first detection information corresponding to the pile number, carrying out format modification on the first detection information to obtain second detection information, and unifying the data format;
the data validity verification module is used for verifying the position according to the GPS positioning information and the project number based on the second detection information, setting a valid data identifier if the verification is successful, setting an invalid data identifier if the verification fails and adding the second detection information into a to-be-inspected list, wherein the to-be-inspected list stores all the second detection information with the invalid data identifier, and the to-be-inspected list is used for prompting a inspector to re-detect the invalid data in time;
the project updating module is used for determining corresponding project information according to project numbers in the project management table, and updating project node information of the project information according to second detection information with effective data identification by stake numbers;
The defect positioning analysis module is used for performing defect positioning analysis on project node information to obtain pile body integrity analysis information when the detection completion confirmation information of the project is true, and each pile body integrity analysis information is matched and corresponds to the project number and the pile number; illustratively, each < item number, stake number > can match a corresponding one of the stake body integrity analysis information.
And the analysis parameter adjusting module is used for responding to the received batch analysis parameter adjusting request, determining pile body integrity analysis information in a to-be-adjusted state according to the project number and the pile number, updating a corresponding preview curve graph of the pile body integrity analysis information in the to-be-adjusted state according to the channel selection information table, and further clearing the to-be-adjusted state.
The report analysis module is used for responding to a report analysis request for the engineering project, and summarizing all relevant pile body integrity analysis information based on the project number to obtain a detection result;
in this embodiment, a report analysis request is initiated by a detection personnel or a detection manager by using a transmission terminal, the report analysis request includes a project number, an engineering project which needs to give a result report is determined according to the project number, and then all pile body integrity analysis information in the engineering project is summarized to obtain a detection result, that is, the detection result includes a plurality of pile body integrity analysis information, each pile body integrity analysis information corresponds to one pile number, and each detection result corresponds to the project number one by one.
And the missing detection module is used for judging whether the number of the detected piles is equal to the number of the planned detection piles or not in response to the fact that the detection completion confirmation information for the engineering project is set to be true, if so, continuing to execute the subsequent steps, and if not, generating detection prompt information which is used for prompting a detection person to detect missing detection tasks.
The stress transfer data acquisition module is used for acquiring corresponding stress transfer data based on the pile number;
in this embodiment, the stress transfer data includes stress data and soil pressure data. The stress transfer data is used to reflect the effect of the pile foundation on the stress transfer from pile to pile. In practical application, the stress data can be acquired by using stress sensors to obtain corresponding stress amplitude values, and each pile foundation is provided with the stress sensor to measure stress change conditions of the pile foundation under different load actions.
The stress transfer influence degree calculation module is used for screening all pile numbers belonging to the same project number, determining an adjacent pile set of each pile number based on a preset pile distance, and sequentially calculating the stress transfer influence degree corresponding to each pile number based on the adjacent pile set;
And the stress transfer early warning prompt module is used for determining pile numbers with stress transfer influence degree larger than or equal to a preset stress transfer influence degree threshold value as pile numbers to be early warned, and counting all pile numbers to be early warned to package and generate stress transfer early warning prompt information.
The degree of stress transfer effect is specifically expressed as:
;
wherein the method comprises the steps ofIndicate->Stress transmission influence degree corresponding to each pile number, < ->For the current number of iterations in the set of adjacent piles, +.>Is->Total number of adjacent pile sets corresponding to individual pile numbers, < >>Is->The stress amplitude corresponding to the pile number,is->The adjacent pile set of the individual pile number is +.>Stress amplitude values corresponding to adjacent pile numbers, < ->Is->Soil pressure amplitude corresponding to each pile number, +.>Is->The adjacent pile set of the individual pile number is +.>Soil pressure amplitude values corresponding to the adjacent pile numbers;
the preset stress transfer influence degree threshold value of each pile number is different, and based on a preset stress transfer influence degree rule table, the preset stress transfer influence degree threshold value is determined by the average pile distance in the adjacent pile set corresponding to the pile number, and the average pile distance in the adjacent pile set corresponding to the pile number is specifically expressed as:
;
wherein the method comprises the steps ofIndicate->Average pile pitch in adjacent pile set corresponding to individual pile number +. >Indicate->The first ∈of each pile number and the corresponding adjacent pile set>Pile distance values between adjacent pile numbers.
In yet another embodiment: as shown in fig. 4, this embodiment provides a terminal, including: at least one memory and at least one processor; wherein the at least one memory is configured to store program code and the at least one processor is configured to invoke the program code stored by the at least one memory to perform the on-line batch analysis method of any of the low strain data of the above embodiments.
In yet another embodiment: the present embodiment provides a computer device, which may be a server, and an internal structure diagram thereof may be as shown in fig. 5. The computer device includes a processor, a memory, a network interface, and a database connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The database of the computer device is a physical layer for storing various databases. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program, when executed by a processor, implements an on-line batch analysis method of low strain data.
It will be appreciated by those skilled in the art that the structure shown in fig. 5 is merely a block diagram of some of the structures associated with the present application and is not limiting of the computer device to which the present application may be applied, and that a particular computer device may include more or fewer components than shown, or may combine certain components, or have a different arrangement of components.
In yet another embodiment: the present embodiment provides a storage medium for storing program code for performing an on-line batch analysis method of low strain data as described above.
The foregoing description is only of the preferred embodiments of the present disclosure and description of the principles of the technology being employed. It will be appreciated by persons skilled in the art that the scope of the disclosure referred to in this disclosure is not limited to the specific combinations of features described above, but also covers other embodiments which may be formed by any combination of features described above or equivalents thereof without departing from the spirit of the disclosure. Such as those described above, are mutually substituted with the technical features having similar functions disclosed in the present disclosure (but not limited thereto).
Moreover, although operations are depicted in a particular order, this should not be understood as requiring that such operations be performed in the particular order shown or in sequential order. In certain circumstances, multitasking and parallel processing may be advantageous. Likewise, while several specific implementation details are included in the above discussion, these should not be construed as limiting the scope of the present disclosure. Certain features that are described in the context of separate embodiments can also be implemented in combination in a single embodiment. Conversely, various features that are described in the context of a single embodiment can also be implemented in multiple embodiments separately or in any suitable subcombination.
The above examples are preferred embodiments of the present invention, but the embodiments of the present invention are not limited to the above examples, and any other changes, modifications, substitutions, combinations, and simplifications that do not depart from the spirit and principle of the present invention should be made in the equivalent manner, and the embodiments are included in the protection scope of the present invention.
Claims (10)
1. An on-line batch analysis method of low strain data, comprising:
in response to receiving a creation request for an engineering project, setting a corresponding project number based on the engineering project, and creating engineering project information based on the project number in an engineering management table;
Receiving first detection information corresponding to the pile number, and carrying out format modification on the first detection information to obtain second detection information so as to unify a data format;
based on the second detection information, carrying out position verification according to the GPS positioning information and the project number, setting a valid data identifier if the verification is successful, setting an invalid data identifier if the verification is failed, and adding the second detection information into a to-be-inspected list, wherein the to-be-inspected list stores all the second detection information with the invalid data identifier, and is used for prompting a inspector to re-detect the invalid data in time;
determining corresponding project information according to the project number in the project management table, and updating project node information of the project information according to second detection information with effective data identification according to the stake number;
when the detection completion confirmation information of the engineering project is true, carrying out defect positioning analysis on project node information to obtain pile body integrity analysis information, wherein each pile body integrity analysis information is matched and corresponds to the project number and the pile number;
in response to receiving a batch analysis parameter adjustment request, determining pile body integrity analysis information in a to-be-adjusted state according to the item number and the pile number, updating a corresponding preview graph of the pile body integrity analysis information in the to-be-adjusted state according to a channel selection information table, and further clearing the to-be-adjusted state;
In response to receiving a report analysis request for an engineering project, summarizing all relevant pile body integrity analysis information based on the project number to obtain detection results, wherein each pile body integrity analysis information corresponds to one pile number, and each detection result corresponds to the project number one by one;
the engineering management table comprises a plurality of engineering project information, each engineering project information is bound with a corresponding unique project number, each engineering project information comprises an engineering basic information item, an acquisition information item, an engineering supplementary information item, a participation unit item and an engineering accessory item, the acquisition information item is used for storing second detection information, the acquisition information item distinguishes different second detection information through different pile numbers, the first detection information comprises GPS positioning information, low-strain data and instrument models, the batch analysis parameter adjustment request comprises a project number, a pile number and a channel selection information table, and the channel selection information table comprises a matching relation between each waveform channel and a corresponding waveform tool type.
2. The method of claim 1, wherein, before performing the step of performing defect localization analysis on project node information to obtain pile body integrity analysis information when detection completion confirmation information for the project is true, the steps of:
And in response to the fact that the detection completion confirmation information for the engineering project is set to be true, judging whether the number of detected piles is equal to the number of planned detection piles, if so, continuing to execute the subsequent steps, and if not, generating detection prompt information for prompting a detector to detect missing detection tasks.
3. The method of claim 2, wherein the format modification of the first detection information to obtain the second detection information specifically includes:
receiving first detection information corresponding to the pile number, extracting instrument model and low-strain data from the first detection information, matching a modification rule through the instrument model based on a preset format modification set, modifying the format of the low-strain data into a standardized format by using the modification rule if the modification rule is a non-null value, modifying all formats of the low-strain data into a preset standardized format into a unified data format, and combining GPS positioning information and the low-strain data unified into the standardized format to obtain second detection information;
the format modification set is used for modifying the format of the low-strain data into a standardized format so as to ensure that all the formats of the low-strain data are consistent when the low-strain data are stored, and comprises an instrument model and a modification rule corresponding to the instrument model, wherein if the modification rule is a null value, the modification rule does not need to be modified, and if the modification rule is a non-null value, the modification rule does need to be modified.
4. A method according to claim 3, wherein in the position verification based on the GPS positioning information and the item number, the method specifically comprises: each item number corresponds to at least one preset item position range, if the GPS positioning information is overlapped with any item position range, the verification is considered to be successful, and otherwise, the verification is considered to be failed.
5. The method of claim 4, wherein updating project node information of the project information according to the second detection information with the valid data identifier by the stake mark, specifically comprises: in the engineering management table, if the project number and the stake number of one project node information are consistent with the project number and the stake number corresponding to the second detection information, the project node information is subjected to data replacement based on the second detection information, and if the project node information is not present, the project node information is subjected to new project information based on the second detection information.
6. The method of claim 5, wherein the pile body integrity analysis information specifically comprises a preview graph corresponding to a pile number, and a preview result table corresponding to the preview graph, the preview result table comprising a detection sequence number, a pile diameter, a pile length, a wave speed, an instrument model, a sampling parameter, a time parameter, GPS positioning information, and defect positioning information;
The defect positioning analysis is performed on project node information to obtain pile body integrity analysis information, which specifically comprises the following steps:
stress wave time sequence data are extracted from project node information to be used as input, defect positioning information is obtained by recognition based on a pre-trained pile body defect positioning model, and the defect positioning information comprises defect severity identification and a defect position point set;
based on the pile number, packing the detection sequence number, the pile diameter, the pile length, the wave speed, the instrument model, the sampling parameters, the time parameters, the GPS positioning information and the defect positioning information into a preview result table for generating pile body integrity analysis information;
the pile body defect positioning model is obtained through machine learning training by using a plurality of groups of data in advance, when in training, the plurality of groups of data comprise a plurality of stress wave time sequence data and defect positioning information corresponding to the stress wave time sequence data, the defect severity is marked as an identification value corresponding to four types aiming at the integrity of the pile body, a first preset identification value is set to correspond to a type I pile, a second preset identification value is set to correspond to a type II pile, a third preset identification value is set to correspond to a type III pile, a fourth preset identification value is set to correspond to a type IV pile, and the defect position point set comprises defect occurrence time points respectively corresponding to all defect positions.
7. The method as recited in claim 2, further comprising:
collecting corresponding stress transfer data based on pile numbers, wherein the stress transfer data comprises stress data and soil pressure data, and the stress transfer data is used for reflecting the influence condition of stress transfer between piles on pile foundations;
screening all pile numbers belonging to the same project number, determining adjacent pile sets of each pile number based on a preset pile distance, and sequentially calculating stress transfer influence degree corresponding to each pile number based on the adjacent pile sets;
determining pile numbers with stress transfer influence degree larger than or equal to a preset stress transfer influence degree threshold as pile numbers to be pre-warned, and counting all pile numbers to be pre-warned to pack to generate stress transfer pre-warning prompt information;
the stress transfer influence degree is specifically expressed as:
;
wherein the method comprises the steps ofIndicate->Stress transmission influence degree corresponding to each pile number, < ->For the current number of iterations within a set of adjacent piles,is->Total number of adjacent pile sets corresponding to individual pile numbers, < >>Is->Stress amplitude corresponding to each pile number, +.>Is the firstThe adjacent pile set of the individual pile number is +.>Stress amplitude values corresponding to adjacent pile numbers, < ->Is->Soil pressure amplitude corresponding to each pile number, +. >Is->The adjacent pile set of the individual pile number is +.>Soil pressure amplitude values corresponding to the adjacent pile numbers;
the preset stress transfer influence degree threshold value of each pile number is different, and is determined by the average pile distance in the adjacent pile set corresponding to the pile number based on a preset stress transfer influence degree rule table, wherein the average pile distance in the adjacent pile set corresponding to the pile number is specifically expressed as:
;
wherein the method comprises the steps ofIndicate->Average pile pitch in adjacent pile set corresponding to individual pile number +.>Indicate->The first ∈of each pile number and the corresponding adjacent pile set>Pile distance values between adjacent pile numbers;
the stress transfer influence degree rule table is used for representing a mapping relationship between a preset average pile distance range and a preset stress transfer influence degree threshold value, and comprises a plurality of preset average pile distance ranges, if the present firstAnd if the average pile distance in the adjacent pile set corresponding to the pile number is within the preset average pile distance range, matching a preset stress transmission influence threshold corresponding to the preset average pile distance range.
8. The method of claim 7, wherein in determining the set of adjacent piles for each pile number based on the preset pile spacing, specifically: and (3) taking the current pile number as a center, and outwards determining an adjacent range by taking a preset pile distance, if one adjacent pile is in the adjacent range, adding the adjacent pile into an adjacent pile set of the pile number, otherwise, not processing.
9. An on-line batch analysis system for low strain data, comprising:
the project creation module is used for responding to the received creation request for the project, setting corresponding project numbers based on the project, and creating project information based on the project numbers in the project management table;
the format unification module is used for receiving the first detection information corresponding to the pile number, carrying out format modification on the first detection information to obtain second detection information, and unifying the data format;
the data validity verification module is used for verifying the position according to the GPS positioning information and the project number based on the second detection information, setting a valid data identifier if the verification is successful, setting an invalid data identifier if the verification fails and adding the second detection information into a to-be-inspected list, wherein the to-be-inspected list stores all the second detection information with the invalid data identifier, and the to-be-inspected list is used for prompting a inspector to re-detect the invalid data in time;
the project updating module is used for determining corresponding project information according to project numbers in the project management table, and updating project node information of the project information according to second detection information with effective data identification by stake numbers;
The defect positioning analysis module is used for performing defect positioning analysis on project node information to obtain pile body integrity analysis information when the detection completion confirmation information of the project is true, and each pile body integrity analysis information is matched and corresponds to the project number and the pile number;
the analysis parameter adjusting module is used for responding to the received batch analysis parameter adjusting request, determining pile body integrity analysis information in a to-be-adjusted state according to the project number and the pile number, updating a corresponding preview graph of the pile body integrity analysis information in the to-be-adjusted state according to the channel selection information table, and further clearing the to-be-adjusted state;
the report analysis module is used for responding to a report analysis request for the engineering project, and summarizing all relevant pile body integrity analysis information based on the project number to obtain a detection result;
the missing detection module is used for judging whether the number of the detected piles is equal to the number of the planned detection piles or not when the detection completion confirmation information for the engineering project is set to be true, if so, continuing to execute the subsequent steps, and if not, generating detection prompt information which is used for prompting a detection person to detect missing detection tasks;
The stress transfer data acquisition module is used for acquiring corresponding stress transfer data based on pile numbers, and the stress transfer data are used for reflecting the influence condition of stress transfer between piles on pile foundations;
the stress transfer influence degree calculation module is used for screening all pile numbers belonging to the same project number, determining an adjacent pile set of each pile number based on a preset pile distance, and sequentially calculating the stress transfer influence degree corresponding to each pile number based on the adjacent pile set;
the stress transfer early warning prompt module is used for determining pile numbers with stress transfer influence degree larger than or equal to a preset stress transfer influence degree threshold value as pile numbers to be early warned, and counting all pile numbers to be early warned to package and generate stress transfer early warning prompt information;
the stress transfer influence degree is specifically expressed as:
；
wherein the method comprises the steps ofIndicate->Stress transmission influence degree corresponding to each pile number, < ->For the current number of iterations within a set of adjacent piles,is->The total number of adjacent pile sets corresponding to the individual pile numbers,/>is->Stress amplitude corresponding to each pile number, +.>Is the firstThe adjacent pile set of the individual pile number is +.>Stress amplitude values corresponding to adjacent pile numbers, < ->Is->Soil pressure amplitude corresponding to each pile number, +. >Is->The adjacent pile set of the individual pile number is +.>Soil pressure amplitude values corresponding to the adjacent pile numbers;
the preset stress transfer influence degree threshold value of each pile number is different, and based on a preset stress transfer influence degree rule table, the preset stress transfer influence degree threshold value is determined by the average pile distance in the adjacent pile set corresponding to the pile number, and the average pile distance in the adjacent pile set corresponding to the pile number is specifically expressed as:
；
wherein the method comprises the steps ofIndicate->Average pile pitch in adjacent pile set corresponding to individual pile number +.>Indicate->The first ∈of each pile number and the corresponding adjacent pile set>Pile distance values between adjacent pile numbers.
10. A storage medium for storing program code for performing the method of claim 1.
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