CN115116195B

CN115116195B - Foundation pit monitoring method and device based on artificial intelligence

Info

Publication number: CN115116195B
Application number: CN202211003115.7A
Authority: CN
Inventors: 杨建仁; 唐佳; 魏瑞
Original assignee: Guangzhou Clouddcs Co ltd
Current assignee: Guangzhou Clouddcs Co ltd
Priority date: 2022-08-22
Filing date: 2022-08-22
Publication date: 2023-02-21
Anticipated expiration: 2042-08-22
Also published as: CN115116195A

Abstract

The invention provides a foundation pit monitoring method and device based on artificial intelligence, and relates to the technical field of artificial intelligence. The specific scheme is as follows: monitoring each foundation pit based on a monitoring strategy corresponding to each monitoring project type in response to the monitoring projects to which each foundation pit belongs; acquiring monitoring data obtained by monitoring each measuring point of each foundation pit; determining the early warning level and the early warning measuring points of each foundation pit according to monitoring data obtained by monitoring each measuring point of each foundation pit and a monitoring index corresponding to each measuring point; and responding to the condition that the early warning level and the early warning measuring point of any foundation pit meet the preset conditions, and sending the monitoring data of any foundation pit, the corresponding early warning level and the corresponding early warning measuring point to a terminal device of preset associated personnel for early warning prompt. Therefore, the actual working condition of the foundation pit is obtained according to the monitoring data, early warning is carried out, the accuracy and the reliability of the early warning can be improved, the construction safety is guaranteed, and the engineering quality is improved.

Description

Foundation pit monitoring method and device based on artificial intelligence

Technical Field

The disclosure relates to the technical field of artificial intelligence, in particular to a foundation pit monitoring method and device based on artificial intelligence.

Background

In the existing foundation pit construction, collapse caused by instability of a foundation pit side slope can cause serious safety risks or accidents of the foundation pit and surrounding building facilities. At present, manual site measurement is mostly adopted for monitoring in a foundation pit construction process, the construction site is monitored through instruments such as a full-rotating instrument, a level gauge and a reading instrument, a large amount of time of technicians is often spent in the mode, data cannot be rapidly acquired, manual monitoring is adopted, the coverage density is often monitored to be small, the requirement of early warning cannot be met, and the personal safety of measuring personnel cannot be guaranteed.

Disclosure of Invention

The disclosure provides a foundation pit monitoring method and device based on artificial intelligence.

According to a first aspect of the present disclosure, a foundation pit monitoring method based on artificial intelligence is provided, which includes:

monitoring each foundation pit to be monitored based on a monitoring strategy corresponding to each monitoring project type in response to the fact that the monitoring project type to which each foundation pit to be monitored belongs is determined;

acquiring monitoring data obtained by monitoring each measuring point of each foundation pit to be monitored;

determining an early warning level and an early warning measuring point of each foundation pit to be monitored according to monitoring data obtained by monitoring each measuring point of each foundation pit to be monitored and a monitoring index corresponding to each measuring point;

and responding to the condition that the early warning level and the early warning measuring point of any foundation pit to be monitored meet preset conditions, and sending the monitoring data of any foundation pit to be monitored, the corresponding early warning level and the corresponding early warning measuring point to a terminal device of preset associated personnel for early warning prompt.

According to a second aspect of the present disclosure, there is provided a foundation pit monitoring device based on artificial intelligence, comprising:

the monitoring module is used for responding to the monitoring item type of each foundation pit to be monitored and monitoring each foundation pit to be monitored based on the monitoring strategy corresponding to each monitoring item type;

the first acquisition module is used for acquiring monitoring data obtained by monitoring each measuring point of each foundation pit to be monitored;

the first determining module is used for determining the early warning level and the early warning measuring point of each foundation pit to be monitored according to monitoring data obtained by monitoring each measuring point of each foundation pit to be monitored and a monitoring index corresponding to each measuring point;

and the early warning module is used for responding that the early warning level and the early warning measuring point of any foundation pit to be monitored meet preset conditions, and sending the monitoring data of any foundation pit to be monitored, the corresponding early warning level and the corresponding early warning measuring point to terminal equipment of preset associated personnel for early warning prompt.

According to a third aspect of the present disclosure, there is provided an electronic device comprising:

memory, a processor and a computer program stored on the memory and executable on the processor, wherein the steps of the method of any of the first aspect are implemented when the program is executed by the processor.

According to a fourth aspect of the present disclosure, a computer program product is provided, comprising a computer program and/or instructions, wherein the computer program and/or instructions, when executed by a processor, implement the steps of the method of any of the first aspects.

The following beneficial effects can be achieved through the present disclosure:

in the embodiment of the disclosure, firstly, in response to determining the type of a monitoring item to which each foundation pit to be monitored belongs, each foundation pit to be monitored is monitored based on a monitoring strategy corresponding to each monitoring item type, then, monitoring data obtained by monitoring each measuring point of each foundation pit to be monitored is obtained, then, according to the monitoring data obtained by monitoring each measuring point of each foundation pit to be monitored and a monitoring index corresponding to each measuring point, an early warning level and an early warning measuring point of each foundation pit to be monitored are determined, and then, in response to that the early warning level and the early warning measuring point of any foundation pit to be monitored meet a preset condition, the monitoring data of any foundation pit to be monitored, the corresponding early warning level and the early warning measuring point are sent to terminal equipment of preset associated personnel for early warning prompt. Therefore, the monitoring data of each monitoring project of the foundation pit can be obtained, the actual working condition of the foundation pit can be obtained according to the monitoring data, early warning is carried out, the accuracy and the reliability of early warning can be improved, unsafe foundation pits can be found in time, the monitoring data of any foundation pit to be monitored, the corresponding early warning level and early warning measuring points are sent to the terminal equipment of preset associated personnel to be displayed, real remote operation monitoring and early warning in different places can be achieved, the preset associated personnel can carry out safety precaution on the foundation pit to be monitored more finely, construction safety is guaranteed, and engineering quality is improved.

It should be understood that the statements in this section do not necessarily identify key or critical features of the embodiments of the present disclosure, nor do they limit the scope of the present disclosure. Other features of the present disclosure will become apparent from the following description.

Drawings

The drawings are included to provide a better understanding of the present solution and are not to be construed as limiting the present disclosure. Wherein:

fig. 1 is a flowchart of a foundation pit monitoring method based on artificial intelligence according to an embodiment of the disclosure;

FIG. 2 is a flowchart of a method for monitoring a foundation pit based on artificial intelligence according to another embodiment of the present disclosure;

fig. 3 is a block diagram of a foundation pit monitoring device based on artificial intelligence according to an embodiment of the present disclosure;

fig. 4 is a block diagram of an electronic device for implementing an artificial intelligence based pit monitoring method according to an embodiment of the disclosure.

Detailed Description

Exemplary embodiments of the present disclosure are described below with reference to the accompanying drawings, in which various details of the embodiments of the disclosure are included to assist understanding, and which are to be considered as merely exemplary. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the disclosure. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.

The artificial intelligence based pit monitoring method, apparatus, electronic device and storage medium according to the embodiments of the present disclosure are described below with reference to the accompanying drawings.

The foundation pit monitoring method based on artificial intelligence provided by the disclosure can be executed by the foundation pit monitoring device based on artificial intelligence provided by the disclosure, and the device can be realized in a software and/or hardware mode and can also be executed by the electronic equipment provided by the disclosure. The artificial intelligence based foundation pit monitoring method provided by the present disclosure is performed by the artificial intelligence based foundation pit monitoring device provided by the present disclosure, but not limited to the present disclosure, and is hereinafter simply referred to as "device".

Fig. 1 is a schematic flow chart of a foundation pit monitoring method based on artificial intelligence according to an embodiment of the disclosure.

As shown in fig. 1, the present application provides a foundation pit monitoring method based on artificial intelligence, wherein the method includes:

step 101, in response to determining the monitoring project type of each foundation pit to be monitored, monitoring each foundation pit to be monitored based on a monitoring strategy corresponding to each monitoring project type.

The monitoring item type can be horizontal displacement monitoring, vertical displacement monitoring, deep horizontal displacement monitoring, inclination monitoring, crack monitoring, soil pressure monitoring, pore water pressure monitoring, anchor rod tension monitoring, underground water level monitoring and the like, and is not limited herein.

It can be understood that the types of the monitoring items to which each monitoring foundation pit belongs are the same, and each monitoring item corresponds to a respective monitoring strategy.

For example, for a monitoring strategy for horizontal displacement monitoring, it may be: when the horizontal displacement in a specific direction is measured, a sight line method, a small angle method, a point casting method and the like can be adopted; measuring the distribution condition of the visible monitoring points when the horizontal displacement of the monitoring points in any direction is measured, and adopting a front intersection method, a free station setting method, a polar coordinate method and the like; when the reference point is far away from the foundation pit, a GPS measurement method or a comprehensive measurement method combining triangle, trilateral and corner measurement and a reference line method can be adopted. When the monitoring precision requirement is higher, a micro-deformation measuring radar can be adopted for automatic all-weather real-time monitoring.

For monitoring strategies for fracture monitoring, it may be: monitoring the width of the crack, sticking plaster cakes, drawing parallel lines or sticking embedded metal marks on the two sides of the crack, and adopting a method of directly measuring by a micrometer or a vernier caliper; the method of crack meter, sticking installation dial indicator method, photography measurement and the like can also be adopted to measure the depth of the crack, and when the depth of the crack is smaller, a chiseling method and a single-side contact ultrasonic method are adopted to monitor; the cracks with larger depth are monitored by adopting an ultrasonic method.

It should be noted that the above examples are only illustrative, and the present disclosure is not limited thereto.

Therefore, the device can monitor the supporting structure, the related natural environment, the construction working condition, the underground water condition, the bottom of the foundation pit and the surrounding soil body, the surrounding building (structure), the surrounding underground pipeline and underground facilities, the surrounding important roads and other environmental elements when monitoring each foundation pit to be monitored.

It should be noted that the device can automatically collect and transmit the monitoring data of each foundation pit to be monitored based on the data collection equipment according to the monitoring strategy corresponding to each foundation pit to be monitored, and can analyze the collected data based on the information management platform, so that various analyzed data can be obtained.

Specifically, the reference points and the monitoring points may be set and laid out in the corresponding environments according to the type of the monitoring item corresponding to each foundation pit to be monitored, and the monitoring period and the monitoring frequency corresponding to the type of the monitoring item may be set.

The device can determine the type of the monitoring project of each foundation pit to be monitored according to the currently configured monitoring project of each foundation pit to be monitored and the corresponding template.

And 102, acquiring monitoring data obtained by monitoring each measuring point of each foundation pit to be monitored.

It should be noted that, after each foundation pit to be monitored is monitored according to the corresponding monitoring item and monitoring strategy, the device can acquire the acquired monitoring data according to each measuring point of each foundation pit to be monitored.

Optionally, the monitoring data may be data obtained by analyzing the collected data through an information management platform, such as a curve, a graph, and the like.

The data monitored by each measuring point are usually different, each measuring point is provided with conversion, and the change rate of the measured value and the accumulated change value early warning value are recorded.

Optionally, in response to that the first monitoring data of each monitoring item is updated, the device may determine each monitoring date corresponding to the updated first monitoring data, where the first monitoring data is monitoring data of a third party, and then obtain, according to each monitoring date corresponding to the first monitoring data, second monitoring data corresponding to each monitoring date from the current construction monitoring data.

It should be noted that, according to the requirements of design drawings, a third-party monitoring organization with professional qualifications is entrusted to monitor each foundation pit in the concrete construction process in combination with the actual engineering situation. And (3) compiling a special monitoring scheme before construction, reporting the approval of a general supervision engineer, performing stationing according to the approved scheme during monitoring, implementing monitoring and submitting monitoring data in time. In the present disclosure, the monitoring data of the third party may be acquired and used as the first monitoring data.

The third monitoring data may be data monitored by the device on each current monitoring date. In the present disclosure, according to each monitoring date corresponding to the first monitoring data, the second monitoring data corresponding to each monitoring date may be acquired from the current construction monitoring data.

It should be noted that the monitoring date corresponding to the first monitoring data may be day1, day2, day3,

the data obtained by the device monitoring at day1, day2, day3 may be used as the second monitoring data.

Further, the device can determine, according to each first measuring point corresponding to the first monitoring data and each second measuring point corresponding to the second monitoring data, a third measuring point which is coincident with each first measuring point and each second measuring point, then determine, according to the first monitoring data, a first measuring value which is measured by each third measuring point on each monitoring date, then determine, according to the second monitoring data, a second measuring value which is measured by each third measuring point on each monitoring date, then determine a difference value between the first measuring value and the second measuring value which corresponds to each third measuring point on each monitoring date, and then generate a comparative analysis display image of each monitoring item according to each difference value which corresponds to each monitoring date.

The first measuring point may be a measuring point corresponding to the first monitoring data, and the second measuring point may be a measuring point corresponding to the second monitoring data. It can be understood that the first measuring point is also the measuring point used by the third-party monitoring mechanism during monitoring, the third-party monitoring mechanism obtains first monitoring data through the first measuring point, and the device can obtain second monitoring data through the second measuring point.

In particular, the device can determine the coincident measuring point of the first measuring point and the second measuring point.

For example, if there are 3 first measuring points, which are respectively a, B, and C, and there are 5 second measuring points, which are respectively T, B, P, and a, a and B are the coincident measuring points, i.e. the third measuring point.

It should be noted that the above examples are only illustrative and not limiting.

Then, the device can determine first monitoring data, namely a first measured value, measured by a third measuring point based on the first monitoring data, and determine second monitoring data, namely a second measured value, measured by the third measuring point based on the second monitoring data. Further, the difference between the first measured value and the second measured value measured by each third measuring point can be determined.

For example, if the third measuring points are a, b, and c, respectively, wherein the first monitoring data measured by the third measuring points a, b, and c, that is, the first measured values, are a1, b1, and c1, respectively, and the second monitoring data measured by the third measuring points a, b, and c, that is, the second measured values, are a2, b2, and c2, respectively, then the apparatus can calculate the difference between each first measured value and each second measured value, that is, a1-a2, b1-b2, and c1-c2.

As a possible implementation manner, the device can also select 5 measuring points with the largest difference, then display the monitoring data of the 5 measuring points for the last 10 times, the time axis is mainly based on a third party, the first monitoring data uses a solid line, and the second monitoring data uses a dotted line.

Optionally, if the measured value is a lateral slope, the maximum cumulative change value under each measured point needs to be taken first, then the difference value between the first measured value and the second measured value is taken, and the maximum 5 measured points are taken for display.

It should be noted that, by the above manner, the first monitoring data and the second monitoring data can be contrasted and analyzed, that is, the monitoring data acquired by the third party and the monitoring data acquired by the device can be contrasted and analyzed, so that the difference of each monitoring project type measuring point can be displayed, and thus, each measuring point can be visually supervised and managed, and further, the measuring points with larger difference can be overhauled, reformed and supervised.

And 103, determining the early warning level and the early warning measuring point of each foundation pit to be monitored according to the monitoring data obtained by monitoring each measuring point of each foundation pit to be monitored and the monitoring index corresponding to each measuring point.

It should be noted that the monitoring index is an index for monitoring key features of the foundation pit to be monitored and giving out a warning by comparing normal values, and before warning, that is, when dangers are continuously gathered, some abnormal changes occur in the index, so that the possibility of crisis occurrence can be measured by observing the abnormal changes occurring in the monitoring index.

The method comprises the steps that a plurality of measuring points are arranged corresponding to each foundation pit to be monitored, different monitoring indexes are arranged corresponding to different measuring points, and if a measured value exceeds a threshold value contained in the monitoring indexes, the measuring point can be determined as an early warning measuring point.

The early warning levels can be three, namely a yellow early warning level, an orange early warning level and a red early warning level, wherein the yellow early warning level is the lowest, the red early warning level is the highest, and the orange early warning level is in the middle.

Optionally, the early warning level may be determined as red early warning when the number of the early warning measurement points is greater than the first threshold, the early warning level may be determined as yellow early warning when the number of the early warning measurement points is greater than the second threshold and less than the third threshold, and the early warning level may be determined as orange early warning when the number of the early warning measurement points is greater than the third threshold and less than the first threshold.

Or, the early warning level can be set as red early warning under the condition that the current early warning measuring point comprises the specified measuring point.

Specifically, the device may import each monitoring data into the template, and then perform the determination.

And step 104, in response to the fact that the early warning level and the early warning measuring point of any foundation pit to be monitored meet preset conditions, sending the monitoring data of any foundation pit to be monitored, the corresponding early warning level and the corresponding early warning measuring point to a terminal device of preset associated personnel for early warning prompt.

In the method, the early warning level of any foundation pit to be monitored and the condition that the early warning points meet the preset conditions can be determined under the condition that the early warning level is more than orange early warning and the number of the early warning points reaches the threshold.

Or, the early warning level of any foundation pit to be monitored and the early warning measuring point meeting the preset condition can be determined under the condition that the early warning level is yellow and the early warning measuring point comprises the specified measuring point.

Wherein, the appointed measuring point can be one or more. If the construction of the environment where any measuring point is located has a large influence on the surrounding environment, the measuring point can be determined as the designated measuring point.

The preset associated person may be at least one predetermined project manager.

It should be noted that the preset associated person may have a corresponding terminal device and a corresponding terminal display screen. In the present disclosure, the type of the terminal device and the corresponding terminal display screen is not limited, and may be, for example, a liquid crystal computer, a tablet, a mobile phone, a monitor display, and the like.

Particularly, monitoring data of any foundation pit to be monitored, a corresponding early warning level and an early warning measuring point can be sent to a GIS visual monitoring platform in real time through remote high-speed wireless data transmission, and a short message can be automatically triggered to give an alarm to related personnel (preset related personnel) during alarming, so that real-time dynamic remote monitoring, remote alarming and remote informing are realized, and the safety monitoring of the foundation pit to be monitored becomes open real-time dynamic monitoring.

Optionally, the device can make a safety alarm and a danger avoiding measure based on the controller according to the information collected in real time, and simultaneously sends related safety information to the server, and a supervision department of the foundation pit can check the condition of each foundation pit in the network through the client, so that the foundation pit can be timely supervised by the technical means, and the risk factors and the potential safety hazards can be practically prevented.

In the embodiment of the disclosure, firstly, in response to determining the type of a monitoring item to which each foundation pit to be monitored belongs, each foundation pit to be monitored is monitored based on a monitoring strategy corresponding to each monitoring item type, then, monitoring data obtained by monitoring each measuring point of each foundation pit to be monitored is obtained, then, according to the monitoring data obtained by monitoring each measuring point of each foundation pit to be monitored and a monitoring index corresponding to each measuring point, an early warning level and an early warning measuring point of each foundation pit to be monitored are determined, and then, in response to that the early warning level and the early warning measuring point of any foundation pit to be monitored meet a preset condition, the monitoring data of any foundation pit to be monitored, the corresponding early warning level and the early warning measuring point are sent to terminal equipment of preset associated personnel for early warning prompt. Therefore, the monitoring data of each monitoring project of the foundation pit can be obtained, the actual working condition of the foundation pit can be obtained according to the monitoring data, early warning is carried out, the accuracy and the reliability of early warning can be improved, unsafe foundation pits can be found in time, the monitoring data of any foundation pit to be monitored, the corresponding early warning level and early warning measuring points are sent to terminal equipment of preset associated personnel to be displayed, real remote operation monitoring and early warning at different places can be achieved, the preset associated personnel can carry out safety precaution on the foundation pit to be monitored more finely, construction safety is guaranteed, and engineering quality is improved.

Fig. 2 is a schematic flowchart of a foundation pit monitoring method based on artificial intelligence according to another embodiment of the disclosure.

As shown in fig. 2, the present application provides another foundation pit monitoring method based on artificial intelligence, wherein the method includes:

step 201, in response to determining the monitoring item type of each foundation pit to be monitored, monitoring each foundation pit to be monitored based on a monitoring strategy corresponding to each monitoring item type.

Step 202, obtaining monitoring data obtained by monitoring each measuring point of each foundation pit to be monitored.

Step 203, determining the early warning level and the early warning measuring point of each foundation pit to be monitored according to the monitoring data obtained by monitoring each measuring point of each foundation pit to be monitored and the monitoring index corresponding to each measuring point.

And 204, in response to the fact that the early warning level and the early warning measuring point of any foundation pit to be monitored meet preset conditions, sending the monitoring data of any foundation pit to be monitored, the corresponding early warning level and the corresponding early warning measuring point to terminal equipment of preset associated personnel for early warning prompt.

It should be noted that, for specific implementation manners of step 201, step 202, step 203, and step 204, reference may be made to the foregoing embodiments, which are not described herein again.

Step 205, in response to that at least one early warning measuring point in any foundation pit to be monitored is selected in any terminal equipment of preset associated personnel, displaying a foundation pit layout corresponding to any foundation pit to be monitored in the terminal equipment.

The foundation pit layout drawing comprises the position of at least one early warning measuring point and corresponding early warning data.

The foundation pit arrangement diagram is an analyzed foundation pit measuring point arrangement CAD diagram containing each measuring point of the foundation pit to be monitored and early warning data associated with each measuring point.

The device can display a CAD graph of the foundation pit measuring point arrangement analyzed by the system, analyze the measuring points and associate data, click the measuring points to skip to check the change of a single measuring point, and also can check the change of the measuring points in a batch frame selection mode.

Step 206, in response to receiving a viewing request for viewing the monitoring data, according to the attribute characteristics of the monitoring data to be viewed included in the viewing request, obtaining target historical monitoring data corresponding to the attribute characteristics from the historical monitoring data.

The attribute characteristics at least comprise an identification of a foundation pit to be checked, a monitoring item to which the foundation pit to be checked belongs and a time interval to be checked.

For example, the device may display, in response to receiving a viewing request for viewing the monitoring data, the target historical monitoring data corresponding to the monitoring items d1, d2, and d3 to which the foundation pit a to be viewed belongs in approximately three months, which is not limited herein.

The historical monitoring data can be construction data obtained by historical monitoring, switching and checking of the historical construction monitoring data can be supported, and user-defined time period screening is supported.

Step 207, displaying the target historical monitoring data in the to-be-displayed device corresponding to the device identifier based on the device identifier included in the viewing request.

Optionally, the apparatus may display the target historical monitoring data in the device to be displayed corresponding to the device identifier based on the device identifier included in the viewing request.

For example, if the request includes a device identifier X, the target historical monitoring data may be displayed in the X device to be displayed.

And step 208, responding to the received monitoring management request, and configuring corresponding monitoring indexes for the newly added measuring points based on the foundation pits to which the newly added measuring points belong and the types of the monitoring items to which the newly added measuring points belong in the monitoring management request.

It should be noted that the monitoring management request is used to configure related data of the newly added measurement point, such as monitoring index data.

For example, if the monitoring management request includes a foundation pit R to which the newly added measurement point belongs and a monitoring item type Y to which the newly added measurement point belongs, the apparatus may determine monitoring indexes corresponding to Y and R for the newly added measurement point.

Wherein, the monitoring index can be an early warning value. Therefore, the measuring point can generate response early warning according to the early warning rule.

In the embodiment of the disclosure, first, in response to determining a monitoring project type to which each foundation pit to be monitored belongs, monitoring each foundation pit to be monitored based on a monitoring strategy corresponding to each monitoring project type, then, obtaining monitoring data obtained by monitoring each measuring point of each foundation pit to be monitored, then, according to the monitoring data obtained by monitoring each measuring point of each foundation pit to be monitored and a monitoring index corresponding to each measuring point, determining an early warning level and an early warning measuring point of each foundation pit to be monitored, then, in response to that the early warning level and the early warning measuring point of any foundation pit to be monitored meet preset conditions, sending the monitoring data of any foundation pit to be monitored, the corresponding early warning level and early warning measuring point to a terminal device of preset associated personnel for early warning prompt, then, in response to a viewing request for viewing the monitoring data, in accordance with attribute characteristics of the monitoring data to be viewed contained in the viewing request, obtaining a layout diagram corresponding to any foundation pit to be monitored from the monitoring data, in the terminal device, then, displaying the monitoring data corresponding to the monitoring data in the monitoring data corresponding to be monitored in the monitoring project layout diagram, and displaying the monitoring data corresponding to the monitoring data in the monitoring data based on the monitoring project management request and the monitoring index corresponding to be viewed, and the monitoring data, and the monitoring index corresponding to be monitored, wherein the monitoring project management device is received in the monitoring project management request and the monitoring data corresponding to be monitored in the monitoring project management device, and the monitoring project management target management index corresponding to be monitored in the monitoring project management device. Therefore, the device can accurately and reliably monitor the foundation pit in fact, can manage newly added measuring points, can give an early warning to the newly added measuring points according to the foundation pit and the monitoring project to which the newly added measuring points belong, can support the foundation pit measuring points analyzed by the display system to arrange the cad graph, can help to check the variation of the measuring points, can display historical data and contrastive analysis, and can click the measuring points to jump to the foundation pit measuring points to arrange the cad graph.

Fig. 3 is a schematic structural diagram of a foundation pit monitoring device based on artificial intelligence according to an embodiment of the disclosure.

As shown in fig. 3, the artificial intelligence-based foundation pit monitoring device 300 includes:

the monitoring module 310 is configured to monitor each foundation pit to be monitored based on a monitoring strategy corresponding to each monitoring item type in response to determining the monitoring item type to which each foundation pit to be monitored belongs;

the first obtaining module 320 is configured to obtain monitoring data obtained by monitoring each measuring point of each foundation pit to be monitored;

the first determining module 330 is configured to determine an early warning level and an early warning measuring point of each foundation pit to be monitored according to monitoring data obtained by monitoring each measuring point of each foundation pit to be monitored and a monitoring index corresponding to each measuring point;

the early warning module 340 is configured to send the monitoring data of any foundation pit to be monitored, the corresponding early warning level and early warning point to a terminal device of a preset associated person for early warning prompt in response to that the early warning level and early warning point of any foundation pit to be monitored meet preset conditions.

Optionally, the early warning module is further configured to:

responding to that at least one early warning measuring point in any foundation pit to be monitored is selected in terminal equipment of any preset associated person, displaying a foundation pit layout corresponding to any foundation pit to be monitored in the terminal equipment,

the foundation pit layout drawing comprises the position of the at least one early warning measuring point and corresponding early warning data;

Optionally, the apparatus further includes:

the query module is used for responding to a received viewing request for viewing the monitoring data, acquiring target historical monitoring data corresponding to the attribute characteristics from the historical monitoring data according to the attribute characteristics of the monitoring data to be viewed contained in the viewing request,

the attribute characteristics at least comprise an identification of a foundation pit to be checked, a monitoring item to which the foundation pit to be checked belongs and a time interval to be checked;

and the display module is used for displaying the target historical monitoring data in the equipment to be displayed corresponding to the equipment identification based on the equipment identification contained in the viewing request.

Optionally, the apparatus further includes:

the second determining module is used for determining each monitoring date corresponding to the updated first monitoring data in response to the fact that the first monitoring data of each monitoring item is updated, wherein the first monitoring data are monitoring data of a third party;

the second acquisition module is used for acquiring second monitoring data corresponding to each monitoring date from the current construction monitoring data according to each monitoring date corresponding to the first monitoring data;

a third determining module, configured to determine, according to each first measurement point corresponding to the first monitoring data and each second measurement point corresponding to the second monitoring data, a third measurement point that coincides with each first measurement point and each second measurement point;

the fourth determining module is used for determining a first measuring value measured by each third measuring point on each monitoring date according to the first monitoring data;

a fifth determining module, configured to determine, according to the second monitoring data, a second measurement value measured at each third measurement point on each monitoring date;

a sixth determining module, configured to determine a difference between the first measurement value and the second measurement value corresponding to each third measurement point in each monitoring day;

and the generating module is used for generating a comparative analysis display image of each monitoring item according to each difference value corresponding to each monitoring date.

Optionally, the apparatus further includes:

and the configuration module is used for responding to the received monitoring management request and configuring corresponding monitoring indexes for the newly added measuring points based on the foundation pit to which the newly added measuring points belong and the type of the monitoring project to which the newly added measuring points belong in the monitoring management request.

The present disclosure also provides an electronic device, a readable storage medium, and a computer program product according to embodiments of the present disclosure.

FIG. 4 shows a schematic block diagram of an example electronic device 400 that may be used to implement embodiments of the present disclosure. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. Electronic devices may also represent various forms of mobile devices, such as personal digital processors, cellular telephones, smart phones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be examples only, and are not meant to limit implementations of the disclosure described and/or claimed herein.

As shown in fig. 4, the apparatus 400 includes a computing unit 401 that can perform various appropriate actions and processes according to a computer program stored in a Read Only Memory (ROM) 402 or a computer program loaded from a storage unit 408 into a Random Access Memory (RAM) 403. In the RAM 403, various programs and data required for the operation of the device 400 can also be stored. The calculation unit 401, the ROM 402, and the RAM 403 are connected to each other via a bus 404. An input/output (I/O) interface 405 is also connected to bus 404.

A number of components in the device 400 are connected to the I/O interface 405, including: an input unit 406 such as a keyboard, a mouse, or the like; an output unit 407 such as various types of displays, speakers, and the like; a storage unit 408 such as a magnetic disk, optical disk, or the like; and a communication unit 409 such as a network card, modem, wireless communication transceiver, etc. The communication unit 409 allows the device 400 to exchange information/data with other devices via a computer network, such as the internet, and/or various telecommunication networks.

Computing unit 401 may be a variety of general and/or special purpose processing components with processing and computing capabilities. Some examples of the computing unit 401 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various dedicated Artificial Intelligence (AI) computing chips, various computing units running machine learning model algorithms, a Digital Signal Processor (DSP), and any suitable processor, controller, microcontroller, and so forth. The computing unit 401 performs the various methods and processes described above, such as the artificial intelligence based pit monitoring method. For example, in some embodiments, the artificial intelligence based excavation monitoring method may be implemented as a computer software program tangibly embodied in a machine-readable medium, such as storage unit 408. In some embodiments, part or all of the computer program may be loaded and/or installed onto the device 400 via the ROM 402 and/or the communication unit 409. When loaded into RAM 403 and executed by computing unit 401, may perform one or more of the steps of the artificial intelligence based excavation monitoring method described above. Alternatively, in other embodiments, the computing unit 401 may be configured to perform the artificial intelligence based pit monitoring method by any other suitable means (e.g., by means of firmware).

Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuitry, field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), system on a chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs that are executable and/or interpretable on a programmable system including at least one programmable processor, which may be special or general purpose, receiving data and instructions from, and transmitting data and instructions to, a storage system, at least one input device, and at least one output device.

Program code for implementing the methods of the present disclosure may be written in any combination of one or more programming languages. These program codes may be provided to a processor or controller of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the program codes, when executed by the processor or controller, cause the functions/operations specified in the flowchart and/or block diagram to be performed. The program code may execute entirely on the machine, partly on the machine, as a stand-alone software package, partly on the machine and partly on a remote machine or entirely on the remote machine or server.

In the context of this disclosure, a machine-readable medium may be a tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. The machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

To provide for interaction with a user, the systems and techniques described here can be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) by which a user may provide input to the computer. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic, speech, or tactile input.

The systems and techniques described here can be implemented in a computing system that includes a back-end component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such back-end, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), the internet, and blockchain networks.

The computer system may include clients and servers. A client and server are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The Server can be a cloud Server, also called a cloud computing Server or a cloud host, and is a host product in a cloud computing service system, so as to solve the defects of high management difficulty and weak service expansibility in the traditional physical host and VPS service ("Virtual Private Server", or simply "VPS"). The server may also be a server of a distributed system, or a server incorporating a blockchain.

It should be understood that various forms of the flows shown above, reordering, adding or deleting steps, may be used. For example, the steps described in the present disclosure may be executed in parallel, sequentially, or in different orders, as long as the desired results of the technical solutions disclosed in the present disclosure can be achieved, and the present disclosure is not limited herein.

The above detailed description should not be construed as limiting the scope of the disclosure. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions may be made in accordance with design requirements and other factors. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present disclosure should be included in the scope of protection of the present disclosure.

Claims

1. A foundation pit monitoring method based on artificial intelligence is characterized by comprising the following steps:

responding to the fact that the early warning level and the early warning measuring point of any foundation pit to be monitored meet preset conditions, and sending the monitoring data of any foundation pit to be monitored, the corresponding early warning level and the corresponding early warning measuring point to terminal equipment of preset associated personnel for early warning prompt;

in response to receiving a viewing request for viewing monitoring data, acquiring target historical monitoring data corresponding to attribute characteristics from historical monitoring data according to the attribute characteristics of the monitoring data to be viewed contained in the viewing request;

responding to the fact that at least one early warning measuring point in any foundation pit to be monitored is selected in terminal equipment of any preset associated person, and displaying a foundation pit layout corresponding to any foundation pit to be monitored in the terminal equipment;

the foundation pit layout diagram comprises the position of the at least one early warning measuring point and corresponding early warning data;

the foundation pit arrangement diagram is an analyzed foundation pit measurement point arrangement CAD diagram containing each measurement point of the foundation pit to be monitored and early warning data associated with each measurement point;

displaying the target historical monitoring data in equipment to be displayed corresponding to the equipment identifier based on the equipment identifier contained in the viewing request;

responding to the fact that first monitoring data of each monitoring item are updated, and determining each monitoring date corresponding to the updated first monitoring data, wherein the first monitoring data are monitoring data of a third party;

according to each monitoring date corresponding to the first monitoring data, second monitoring data corresponding to each monitoring date are obtained from the current construction monitoring data;

determining a third measuring point overlapped in each first measuring point and each second measuring point according to each first measuring point corresponding to the first monitoring data and each second measuring point corresponding to the second monitoring data;

according to the first monitoring data, determining a first measuring value measured by each third measuring point on each monitoring date;

according to the second monitoring data, determining a second measurement value measured by each third measurement point on each monitoring date;

determining the difference value between the first measurement value and the second measurement value corresponding to each third measurement point in each monitoring date;

and generating a comparative analysis display image of each monitoring item according to each difference value corresponding to each monitoring date.

2. The method of claim 1, further comprising: and responding to the received monitoring management request, and configuring corresponding monitoring indexes for the newly added measuring points based on the foundation pit to which the newly added measuring points belong and the type of the monitoring project to which the newly added measuring points belong in the monitoring management request.

3. The utility model provides a foundation ditch monitoring devices based on artificial intelligence which characterized in that includes:

4. The apparatus of claim 3, wherein the early warning module is further configured to:

the foundation pit arrangement diagram is an analyzed foundation pit measurement point arrangement CAD diagram containing each measurement point of the foundation pit to be monitored and early warning data associated with each measurement point.

5. The apparatus of claim 3, further comprising:

the query module is used for responding to a received viewing request for viewing monitoring data, and acquiring target historical monitoring data corresponding to attribute features from historical monitoring data according to the attribute features of the monitoring data to be viewed, wherein the attribute features at least comprise an identification of a foundation pit to be viewed, monitoring items to which the foundation pit to be viewed belongs and a time interval to be viewed;

6. The apparatus of claim 3, further comprising:

7. The apparatus of claim 3, further comprising: and the configuration module is used for responding to the received monitoring management request and configuring corresponding monitoring indexes for the newly added measuring points based on the foundation pit to which the newly added measuring points belong and the monitoring project types to which the newly added measuring points belong in the monitoring management request.