Method and system for managing and controlling safety monitoring and early warning process of deep foundation pit

Abstract

The invention provides a management and control method and system for a safety monitoring and early warning process of a deep foundation pit, and relates to the technical field of monitoring. The method comprises the steps of detecting whether monitoring data exceed an early warning threshold value or not under the condition that the monitoring data of the deep foundation pit are input in batches; if it is determined that the first monitoring data exceed an early warning threshold value, initiating a first early warning process, calling a configured early warning process template based on the first monitoring data, and filling early warning information in the early warning process template; wherein the early warning information comprises non-editable contents and editable contents, the first monitoring data is the non-editable contents, and the editable contents of different levels of review nodes are different; according to an early warning level corresponding to the early warning threshold value, selecting a re-checking node, and sending a first early warning form filled with information to the re-checking node; and if the alarm elimination condition of the first early warning process is detected, eliminating the first early warning process and automatically filing the record of the first early warning process. Based on the technical scheme, the early warning efficiency can be improved.

Description

Technical Field

[0001] The present disclosure relates to the field of monitoring technologies, and in particular, to a control method and system for the safety monitoring and early warning process of a deep foundation pit. Background Art

[0002] With the development of technologies, more and more large-scale projects are being implemented, and the safety requirements for project construction are also getting higher and higher.

[0003] Generally, for project safety, during the project construction process, monitoring points need to be set in each area of the project. According to the characteristics of the measuring points in the deep foundation pit, relevant data needs to be collected, the changing trend of the measured values needs to be monitored, and according to the degree of deviation of the measured values from the warning line, a monitoring early warning processing process needs to be initiated for early warning and alarm cancellation processing.

[0004] However, currently in traditional manual processing scenarios, problems such as untimely submission of early warnings for review and non-standard processing procedures may occur. Therefore, the current early warning process has low early warning efficiency and poor safety.

[0005] It should be noted that the information disclosed in the above background art section is only used to enhance the understanding of the background of the present disclosure, and thus may include information that does not constitute the prior art known to those of ordinary skill in the art. Summary of the Invention

[0006] To overcome the problems existing in the related technologies, embodiments of the present disclosure provide a control method and system for the safety monitoring and early warning process of a deep foundation pit, which can improve the efficiency and safety of early warning.

[0007] According to a first aspect of the embodiments of the present disclosure, a control method for the safety monitoring and early warning process of a deep foundation pit is provided. The method includes: when a batch of monitoring data of the deep foundation pit is input, detecting whether the monitoring data exceeds a warning threshold; if it is determined that the first monitoring data exceeds the warning threshold, initiating a first early warning process, calling a configured early warning process template based on the first monitoring data, and filling in warning information in the early warning process template; wherein, the warning information includes non-editable content and editable content, the first monitoring data is non-editable content, and the editable content of different-level review nodes is different; according to the warning level corresponding to the warning threshold, selecting a review node and sending a first early warning form filled with information to the review node; if the alarm cancellation condition of the first early warning process is detected, canceling the first early warning process and automatically archiving the record of the first early warning process.

[0008] Optionally, before sending the first warning form with completed information to the review node, the method also includes: if multiple consecutive monitoring data of the first parameter of the first monitoring point exceed the warning threshold, then merging the warning processes of the multiple monitoring data into the first warning process, and merging the multiple monitoring data into the first warning form; wherein the first monitoring data is the monitoring data of the first parameter of the first monitoring point.

[0009] Optionally, before sending the first warning form with completed information to the review node, the method also includes: if the second monitoring data of the first parameter of the second monitoring point also exceeds the warning threshold, merging the warning process of the second monitoring data into the first warning process, and merging the second monitoring data into the first warning form.

[0010] Optionally, when multiple monitoring data are combined and filled in the same warning form, if the warning levels of the warning thresholds corresponding to the multiple monitoring data are different, the highest warning level corresponding to the multiple warning thresholds is filled in the warning form.

[0011] Optionally, after sending the first warning form with completed information to the review node, the method also includes: generating a second warning process if it is detected that the third monitoring data of the first parameter of the same monitoring point exceeds the warning threshold; and associating the first warning form when sending the second warning form to the review node.

[0012] Optionally, if the warning level is lower than the first warning level, the first warning process is determined to be a non-emergency warning, and the first warning form with completed information is sent to each review node step by step; if the warning level is greater than the first warning level, the first warning process is determined to be an emergency warning, and the first warning form with completed information is sent to each review node at the same time.

[0013] Optionally, the method also includes: if an attachment upload is detected, the uploaded attachment is identified and key information is extracted; wherein the uploaded attachment includes at least one of the following: a monitoring report, on-site photos, sensor data charts; the key information includes at least one of the following: equipment model information, risk characteristic words, visual hazard image features.

[0014] Optionally, before initiating the first warning process, the method also includes: if a high-risk keyword is parsed, the red warning channel is activated, the first warning process is initiated and the warning points are marked in the three-dimensional geological model, and the warning level of the first warning process is the highest warning level among the preset warning levels; if the change rate of the equipment shape through image recognition exceeds a preset percentage, the first warning process is initiated and an equipment disposal work order with positioning coordinates is generated, and the BIM model is linked to rehearse the disposal plan.

[0015] Optionally, after initiating the first early warning process, the method further includes: if a high-risk keyword is parsed, upgrading the early warning level of the first early warning process to the highest early warning level in the preset early warning levels.

[0016] Optionally, the method further includes: adding a process template, editing a process template, classifying and searching for a process template, and deleting a process template.

[0017] According to a second aspect of the embodiments of the present disclosure, a control system for a safety monitoring and early warning process of a deep foundation pit is provided. The control system includes: a data detection module, a process early warning module, a process configuration module, a message notification module, and an early warning elimination module; the data detection module is configured to detect whether the monitoring data exceeds an early warning threshold when the monitoring data of the deep foundation pit is batch-entered; the process early warning module is configured to initiate a first early warning process when it is determined that the first monitoring data exceeds the early warning threshold, call the early warning process template configured in the process configuration module based on the first monitoring data, and fill in the early warning information in the regional early warning process template; wherein, the early warning information includes non-editable content and editable content, the first monitoring data is non-editable content, and the editable content of different-level review nodes is different; the message notification module is configured to select a review node according to the early warning level corresponding to the early warning threshold and send the first early warning form filled with information to the review node; the early warning elimination module is configured to eliminate the first early warning process and automatically file the record of the first early warning process if the early warning cancellation condition of the first early warning process is detected.

[0018] According to a third aspect of the embodiments of the present disclosure, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the control method for the safety monitoring and early warning process of the deep foundation pit as described in the first aspect is implemented.

[0019] According to a third aspect of the embodiments of the present disclosure, a computer device is provided, including a memory, a processor, and computer-readable instructions stored on the memory and executable on the processor. When the computer-readable instructions are executed by the processor, the control method for the safety monitoring and early warning process of the deep foundation pit as described in the first aspect is implemented.

[0020] The technical solutions provided by the embodiments of the present disclosure may include the following beneficial effects: In the embodiments of the present disclosure, in the case of batch input of monitoring data for deep foundation pits, it is detected whether the monitoring data exceeds the warning threshold. When it is determined that the first monitoring data exceeds the warning threshold, a first warning process can be initiated. The configured warning process template can be called based on the first monitoring data, and then the warning information can be automatically filled in the warning process template. The review nodes are selected based on the warning level, and then the first warning form filled with information is sent to the review nodes. Finally, if the warning cancellation condition of the first warning process is detected, the first warning process is cancelled and the records of the first process are automatically archived. Since it is possible to automatically detect and give warnings in real time for large datasets of batch input by quickly comparing the monitoring data with the warning thresholds of the measuring points, initiate the warning approval process in a timely manner, and automatically call the warning template to fill in the warning form, it can ensure the accuracy, integrity, and timeliness of data filling, reduce the time consumption and errors of manual filling, improve the speed of initiating warnings, effectively prevent engineering risks such as support instability and surrounding settlement caused by delayed handling, and ensure the safety of underground space development. By setting the filled content as editable and non-editable content, and setting the warning data as non-editable, and setting different permissions for editable content for reviewers at different levels to edit, it is possible to reduce the phenomenon of concealment, reduce the probability of safety accidents caused by concealment and omission, and overall improve the standardization of the warning processing process, facilitating the management of the warning process. After the warning cancellation condition of the warning process, the relevant information of the first warning process can be automatically archived without manual participation in archiving, which can improve the efficiency of warning archiving.

[0021] It should be understood that the above general description and the following detailed description are only exemplary and explanatory, and cannot limit the present disclosure. Brief Description of the Drawings

[0022] The accompanying drawings herein are incorporated into the specification and constitute a part of the present disclosure, showing embodiments consistent with the present disclosure, and are used together with the specification to explain the principles of the present disclosure.

[0023] Figure 1 It is a schematic diagram of the system architecture of a control system for the safety monitoring and warning process of a deep foundation pit provided by an embodiment of the present disclosure.

[0024] Figure 2 It is a schematic diagram of a process control interface provided by an embodiment of the present disclosure.

[0025] Figure 3 It is a schematic flowchart of a control method for the safety monitoring and warning process of a deep foundation pit provided by an embodiment of the present disclosure.

[0026] Figure 4 It is a schematic diagram of a warning form provided by an embodiment of the present disclosure.

[0027] Figure 5A hardware structure diagram of the computer device where the control method of the safety monitoring and early warning process of the deep foundation pit provided by the embodiment of the present disclosure is located. Detailed implementation manners

[0028] Here, the exemplary embodiments will be described in detail, and the examples are shown in the drawings. When the following description refers to the drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The implementation manners described in the following exemplary embodiments do not represent all implementation manners consistent with the present disclosure. On the contrary, they are only examples of devices and methods consistent with some aspects of the present disclosure as detailed in the appended claims.

[0029] The terms used in the present disclosure are only for the purpose of describing specific embodiments and are not intended to limit the present disclosure. The singular forms "a", "the", and "said" used in the present disclosure and the appended claims are also intended to include the plural forms unless the context clearly indicates otherwise. It should also be understood that the term "and / or" as used herein refers to and includes any or all possible combinations of one or more of the associated listed items.

[0030] It should be understood that although the terms first, second, third, etc. may be used in the present disclosure to describe various information, such information should not be limited to these terms. These terms are only used to distinguish the same type of information from each other. For example, without departing from the scope of the present disclosure, the first information may also be referred to as the second information, and similarly, the second information may also be referred to as the first information. Depending on the context, the word "if" as used herein may be interpreted as "when" or "while" or "in response to determining".

[0031] Next, the embodiments of the present disclosure will be described in detail.

[0032] Figure 1 A system architecture diagram of a control system for the safety monitoring and early warning process of a deep foundation pit provided by the embodiment of the present disclosure, as Figure 1 shown in, the control system 100 includes: a process configuration module 101, a data detection module 102, a process early warning module 103, an attachment management module 104, a message notification module 105, and an early warning elimination module 106.

[0033] The process configuration module 101 is used for: adding process templates, editing process templates, classifying and searching for process templates, and deleting process templates. The process title, process description, process node list, and early warning form content can be dynamically configured through the interactive interface. The process node list stores information about all process nodes, including node ID, node acceptance object, node type, node notification settings, parent and child nodes of the node. For each node, the acceptance object is determined by selecting "user review" and "role review", and multiple selections are allowed for the acceptance object of each node. Template information can be classified and searched according to the early warning process template in the process configuration module 101.

[0034] Among them, the process template can be deleted. If there is no initiated early warning process under this process template, it will be directly deleted; if an early warning process has been initiated and is in progress under this process template, it cannot be deleted, and a prompt "The initiated early warning process cannot be deleted" will be given.

[0035] Figure 2 This is a schematic diagram of a process control interface provided by an embodiment of the present disclosure. Users can dynamically configure (add / edit) the process title, process description, process nodes, and early warning form content by dragging and dropping controls on this interface. Configuring and editing process templates in this way is simple and efficient.

[0036] The data detection module 102 is used for: detecting and observing early warning data.

[0037] When batch - entering the monitoring data of measuring points, by comparing the monitoring data of different measuring points under the same observation part and the configured early warning thresholds of each measuring point respectively, the early warning detection of the monitoring data of each measuring point is carried out to determine whether the monitoring data of each measuring point meets the early warning conditions; if a general early warning occurs for the measured value of the monitoring data of a certain measuring point, the monitoring data of the next measuring point will be quickly monitored, and so on, automatically merging all the early warning information of the measuring points; if an early warning process needs to be initiated, an instruction will be sent to the process template to initiate an executable early warning process, and the early warning information of the current monitoring data will be recorded.

[0038] The process early warning module 103 is used for: initiating early warning processes, reviewing early warning processes, searching for the early warning process list, and searching for the details of early warning process handling.

[0039] If data exceeding the threshold is found in the detected data, an early warning process will be initiated. This early warning process includes information such as the project under early warning, early warning information, early warning level, approval opinions, approval attachments, and email configuration.

[0040] In the review of the early warning process, the reviewer with the current node review permission can modify the content and style of the early warning information, early warning level, approval opinions, approval attachments, and email information in the form, and mark key information. Reviewers without permission can only view relevant information.

[0041] Reviewers can search for the warning process list in the process warning module. This list shows the warning processes related to the current user, including unprocessed processes, processed processes, and initiated processes.

[0042] Reviewers can search for the details of warning process handling. Based on the current warning process information, they can find the handling details of this process, including the status of processing nodes, node handlers, reviewers' opinions, and review attachments.

[0043] The attachment management module 104 is used for: uploading attachments, deleting attachments, and previewing attachments.

[0044] When reviewers handle warning processes, they can upload new attachments or delete incorrect uploaded attachments in the attachment management module 104. They can also preview or download attachments in the attachment management module 104. All relevant parties of the warning process can view the attachments online or download them to the local for archiving. The file formats for preview include: pictures (png / jpg / jpeg), Word documents (docx / doc), portable documents (pdf), text documents (txt), Excel spreadsheet documents (xlsx / xls).

[0045] Optionally, the control system can also include an intelligent attachment parsing engine. After uploading an attachment, the intelligent attachment parsing engine can parse the attachment through image recognition, extract data such as device models and keywords, and automatically associate warning nodes. When "high risk" is detected, the approval level is upgraded; when equipment damage is identified, a maintenance order is dispatched, realizing intelligent disposal linkage. Through image recognition and parsing by the intelligent attachment parsing engine, in-depth analysis can be carried out on various types of files uploaded by users, such as monitoring reports, on-site photos, and sensor data charts. This function realizes closed-loop management from warning identification, level determination to disposal tracking through multi-modal data fusion and intelligent judgment, and the response efficiency is increased by more than 80% compared with the traditional manual judgment method.

[0046] The message notification module 105 is used for: sending text messages and sending emails.

[0047] The initiation of warnings and the warning handling process can notify relevant parties through text messages and emails. The forms of initiating warnings are divided into step-by-step approval and handling from the first node according to the general process, and all nodes immediately accept handling according to the emergency process (flat processing). When the warning process changes, the message notifies the recipients. The message notifications are mainly divided into persistent notifications and instant notifications. Persistent notifications will be stored in the message list regardless of whether the recipient is currently online in the system; instant notifications include text message notifications and email notifications. By replacing the corresponding fields in the message template and according to the configured recipient list, text messages and email notifications are sent to the recipients.

[0048] The early warning elimination module 106 is used for: manually closing the loop to eliminate warnings and using the system to assist in decision-making to eliminate warnings, and archiving the process.

[0049] Among them, the conditions for early warning elimination include: all early warning process nodes are normally processed and completed, or the process loop is ended, and the system detects that the data of the early warning measurement points at the early warning monitoring parts in the latest N monitoring cycles are within the normal threshold range, where N is a positive integer. After the early warning is eliminated, the process history record details can be viewed. In the above function modules, the review of the early warning process converts the process status through the review status. The review status includes: approval, rollback, false alarm; the process processing status includes: under review, aborted; the review status is determined by pass and terminate, and the corresponding relationship of each status is shown in Table 1.

[0050] Table 1 In the embodiments of the present disclosure, the functions of each module can be implemented through the following function interfaces: CreateWorkflow (title, description, nodes, input) creates an early warning process template; TObservationalDataWarning (surveyPointId, data, note) detects the measurement point observation data; StartWorkflow (templateId, version, input) initiates an early warning process; AuditWorkflow (exePointId, pass, remark, terminate) reviews the early warning process; UploadAuditorFile (files) uploads the review attachment; PreviewAuditorFile (file) previews the review attachment; DownloadAuditorFile (file) downloads the review attachment; SendEmailWorkflow (files, email) sends an email; NotificationPublish (content, type, publisher, receiverIds) sends a message notification; GetAllWorkflow (userId) searches for the early warning process list; GetAuditRecords (workflowId) searches for the early warning process processing details.

[0051] The control system for the safety monitoring and early warning process of deep foundation pits provided by the embodiments of the present disclosure can automatically detect and give early warnings in real time for a large dataset entered in batches by quickly comparing monitoring data with the warning thresholds of measuring points, initiate the early warning approval process in a timely manner, and automatically call the early warning template to fill in the early warning form. This can ensure the accuracy, integrity, and timeliness of data filling, reduce the time consumption and errors of manual filling, improve the speed of initiating early warnings, effectively prevent engineering risks such as support instability and surrounding settlement caused by delayed handling, and ensure the safety of underground space development. By setting the filled content as editable and non-editable content, and setting the early warning data as non-editable, and setting different permissions for editable content according to different levels of reviewers, the phenomenon of concealment can be reduced, the probability of safety accidents caused by concealment and omission can be reduced, the standardization of the early warning processing process can be improved as a whole, and the management of the early warning process can be facilitated. After the conditions for cancelling the early warning in the early warning process, the relevant information of the first early warning process can be automatically archived without manual participation, which can improve the efficiency of early warning archiving.

[0052] As Figure 3 shown, Figure 3 FIG. is a schematic flow chart of a control method for the safety monitoring and early warning process of a deep foundation pit provided by the embodiments of the present disclosure, including the following S301 to S304: S301. When a large amount of monitoring data of the deep foundation pit is entered, detect whether the monitoring data exceeds the warning threshold.

[0053] Optionally, multiple warning thresholds can be set for the warning threshold of each parameter, and different values correspond to different warning levels. For example: low-risk warning, medium-risk warning, and high-risk warning.

[0054] S302. If it is determined that the first monitoring data exceeds the warning threshold, initiate the first early warning process, call the configured early warning process template based on the first monitoring data, and fill in the early warning information in the early warning process template.

[0055] Among them, the early warning information includes non-editable content and editable content. The first monitoring data is non-editable content, and the editable content is different for different-level review nodes.

[0056] Exemplarily, the early warning information includes: project engineering name, warning level, monitoring point, monitoring time, detection data, etc.

[0057] In the embodiments of the present disclosure, the early warning templates pre-configured based on monitoring parameters are stored in the process configuration module. The early warning template can be selected based on the type of parameter.

[0058] S303. According to the warning level corresponding to the warning threshold, select the review node and send the first early warning form filled with information to the review node.

[0059] It should be noted that if the warning level is a high-risk warning, the manager of the highest-level review node can be directly selected to conduct a cross-level review; if the warning level is a medium- or low-risk warning, the warning process can be sent to the review nodes at each level in sequence for a level-by-level review.

[0060] Figure 4 A schematic diagram of an early warning form provided by an embodiment of the present disclosure. Figure 4 As shown in , it can include project information, warning information, warning level, approval opinions, upload interface of approval attachments, and processing status of the previous node. Figure 4 Colors can be used to indicate different warning levels.

[0061] S304: If the alarm elimination condition of the first warning process is detected, the first warning process is eliminated and the record of the first warning process is automatically archived.

[0062] In the disclosed embodiment, warnings of different risk levels may be set, and different risk levels correspond to different alarm elimination conditions.

[0063] For example, the conditions for eliminating the low-risk warning are: the low-level management personnel have reviewed and eliminated it, or the monitoring data for the first duration has not exceeded the warning threshold of the low-risk warning. The conditions for eliminating the medium-risk warning are: the middle-level management personnel have reviewed and eliminated it, or the monitoring data for the second duration has not exceeded the warning threshold of the low-risk warning. The conditions for eliminating the high-risk warning are: if the highest-level management personnel have reviewed and eliminated it, or the monitoring data for the third duration has not exceeded the preset value of the low-risk warning. Among them, the first duration is less than the second duration, and the second duration is less than the third duration.

[0064] During the early warning process, dynamic data tracking is implemented simultaneously for the monitoring points in the early warning area. When the system detects that the real-time data of N consecutive monitoring cycles (configurable) are within the preset safety threshold, the early warning cancellation mechanism will be automatically triggered, and an alarm cancellation recommendation report will be generated through the intelligent decision-making assistance module to provide management personnel with multi-dimensional data analysis support.

[0065] Exemplarily, the record of the first early warning process may include early warning information, viewing records, approval records, attachment information, etc. of the first early warning process.

[0066] The embodiments of the present disclosure provide a control method for the safety monitoring and early warning process of deep foundation pits. In the case of batch input of monitoring data of deep foundation pits, it is detected whether the monitoring data exceeds the early warning threshold. When it is determined that the first monitoring data exceeds the early warning threshold, a first early warning process can be initiated. The configured early warning process template can be called based on the first monitoring data, and then the early warning information is automatically filled in the early warning process template. The review node is selected based on the early warning level, and then the first early warning form filled with information is sent to the review node. Finally, if the cancellation condition of the first early warning process is detected, the first early warning process is cancelled and the records of the first process are automatically archived. Since the monitoring data and the measuring point early warning threshold can be automatically and quickly compared, real-time detection and early warning of the large data set input in batches can be carried out, the early warning approval process can be initiated in a timely manner, and the early warning template can be automatically called to fill in the early warning form, which can ensure the accuracy, integrity and timeliness of data filling, reduce the time consumption and error of manual filling, improve the speed of initiating early warnings, effectively prevent engineering risks such as support instability and surrounding settlement caused by delayed handling, and ensure the safety of underground space development. By setting the filled content as editable and non-editable content, and setting the early warning data as non-editable, different permissions are set for editable content according to different levels of reviewers for editing, which can reduce the phenomenon of concealment, reduce the probability of safety accidents caused by concealment and omission, and can overall improve the standardization of the early warning processing process and facilitate the management of the early warning process. After the cancellation condition of the early warning process, the relevant information of the first early warning process can be automatically archived without manual participation in archiving, which can improve the efficiency of police situation archiving.

[0067] In the embodiments of the present disclosure, different early warning notification methods can be selected based on the urgency of the early warning process, and the notification efficiency of early warnings can be improved in an emergency state. Based on the intelligent adaptation of the risk level to the hierarchical response mechanism, different differential disposal processes are automatically triggered for different early warning levels: low-risk early warnings initiate a standardized step-by-step approval process, while medium- and high-risk events trigger a flat emergency response mode to achieve an extremely fast response of the decision-making link, and a dual defense system is constructed to ensure that major risk hazards are effectively blocked at the germination stage.

[0068] Specifically, in a control method for the safety monitoring and early warning process of a deep foundation pit provided in the embodiments of the present disclosure, the above S303 can be specifically executed through S303a or S303b: S303a. If the first early warning process is a non-urgent early warning, the first early warning form filled with information is sent step by step to each review node.

[0069] Specifically, after the first early warning form is sent to the first review node, if the review information submitted by the first review node is detected and the review information in the first early warning form is updated, the first early warning form is sent to the second review node until the highest-level review node.

[0070] Among them, the review level of the first review node is lower than that of the second review node.

[0071] S303b. If the first early warning process is an emergency early warning, send the first early warning form filled with information to each review node simultaneously.

[0072] Specifically, after sending the first early warning form filled with information to each review node simultaneously, if the review information submitted by the third review node is detected, the approval information in the first early warning form is updated. When it is detected that the fourth review node views the first early warning process, the first early warning form with the updated approval information is displayed.

[0073] Among them, the review time of the third review node is earlier than that of the fourth review node.

[0074] It should be noted that in the case where the first early warning process is an emergency early warning, if it is detected that the highest-level review node has completed the review, the corresponding processing process of the early warning can be triggered.

[0075] Based on this solution, early warning information can be sent classified based on the urgency of the early warning process. In the case of non-emergency early warning, the early warning process can be sent level by level in the normal order, that is, after the lower-level manager submits the review information, the early warning process is sent to the higher-level manager; in the case of emergency early warning, the early warning process can be sent directly in its entirety without waiting for the lower-level manager to submit the review information, which can be quickly transmitted to the higher-level manager to accelerate the early warning processing and avoid safety accidents caused by untimely processing due to process problems.

[0076] In the embodiments of the present disclosure, by constructing an intelligent early warning information aggregation mechanism, associated early warning signals can be merged. For example: early warning signals of the same type of monitoring parameters in the same monitoring area can be automatically merged, and early warning signals of the same type of monitoring points in the same monitoring area are automatically merged, effectively avoiding the repeated generation of early warning processes. This method can greatly improve the efficiency of early warning disposal work.

[0077] Specifically, in a method for controlling a safety monitoring early warning process of a deep foundation pit provided in the embodiments of the present disclosure, before S303, the following S305 may further be included: S305. If multiple monitoring data of the first parameter of the first monitoring point all exceed the early warning threshold, merge the early warning processes of the multiple monitoring data into the first early warning process, and fill in the multiple monitoring data in the first early warning form.

[0078] Among them, the first monitoring data is the monitoring data of the first parameter of the first monitoring point.

[0079] For example, it is detected that the first monitoring data of parameter 1 at monitoring point A at the first moment is greater than the first warning threshold, and a first warning process and a first warning form are generated. Subsequently, it is detected that the second monitoring data of parameter 1 at monitoring point A at the second moment is greater than the first warning threshold. Then, the warning process of the second monitoring data can be merged into the first warning process, and in the first warning form, it is updated that the monitoring data of parameter 1 at monitoring point A at the first and second moments are both greater than the first warning threshold.

[0080] Based on this solution, before the warning process is sent to the review node, if it is detected that multiple monitoring data of the same parameter at the same node exceed the warning threshold, the warning processes of these multiple monitoring data can be merged into the same warning process, and these multiple monitoring data are merged and filled in the first warning form, so that the warning information of related parameters can be quickly integrated, avoiding the time consumption caused by excessive approval quantities due to generating a monitoring process for each monitoring data.

[0081] Optionally, in a method for controlling a safety monitoring and warning process of a deep foundation pit provided in an embodiment of the present disclosure, before S303, the following S306 may further be included: S306: If the second monitoring data of the first parameter of the second monitoring point also exceeds the warning threshold, then merge the warning process of the second monitoring data into the first warning process, and merge and fill in the second monitoring data in the first warning form.

[0082] For example, it is detected that the first monitoring data of parameter 1 at monitoring point A at the first moment is greater than the first warning threshold, and a first warning process and a first warning form are generated. Subsequently, it is detected that the second monitoring data of parameter 1 at monitoring point B at the second moment is greater than the first warning threshold. Then, the warning process of the second monitoring data can be merged into the first warning process, and in the first warning form, it is added that the second monitoring data of parameter 1 at monitoring point B at the second moment is greater than the first warning threshold.

[0083] Based on this solution, before the warning process is sent to the review node, if it is detected that the monitoring data of the same parameter at different nodes all exceed the warning threshold, the warning data of multiple nodes can be merged into the same warning process, and these multiple monitoring data are merged and filled in the first warning form, so that the warning information of related monitoring nodes can be quickly integrated, avoiding the time consumption caused by excessive approval quantities due to generating a monitoring process for each monitoring data.

[0084] Optionally, in a method for controlling a safety monitoring and warning process of a deep foundation pit provided in an embodiment of the present disclosure, when multiple monitoring data are merged and filled in the same warning form, if the warning levels corresponding to the warning thresholds of the multiple monitoring data are different, then the highest warning level corresponding to the multiple warning thresholds is filled in the warning form.

[0085] Specifically, if multiple monitoring data of the same parameter at the same monitoring point all exceed the same warning threshold, the level corresponding to the warning threshold is taken as the warning level of the first warning process; if the warning thresholds exceeded by multiple monitoring data of the same parameter at the same monitoring point are different, the highest warning level among the multiple warning levels corresponding to the multiple monitoring data is taken as the warning level of the first warning process.

[0086] Specifically, if the monitoring data of the first parameter at different monitoring points all exceed the warning threshold, the multiple monitoring data can also be combined into the same warning process, and the highest warning level among the warning thresholds corresponding to the multiple monitoring data is taken as the warning level of the first warning process.

[0087] Based on this solution, during the process of merging warning processes, taking the highest warning level corresponding to the monitoring data as the warning level after merging can prompt the importance of the warning, so as to facilitate the manager to make a decision.

[0088] In the embodiments of the present disclosure, for the same parameter of the same monitoring point, the form that has eliminated the warning and the form that has issued a warning again can be associated, which is convenient for the management personnel to conduct in-depth analysis and approval.

[0089] Optionally, in a method for controlling a safety monitoring and warning process of a deep foundation pit provided in the embodiments of the present disclosure, after S304 described above, the following S307 and S308 may further be included: S307: If it is detected that the third monitoring data of the first parameter at the same monitoring point exceeds the warning threshold, a second warning process is generated.

[0090] S308: When sending the second warning form to the review node, the second warning form and the first warning form are associated.

[0091] It can be understood that after a warning process has been generated, if among the subsequent monitoring data, the monitoring data of the same parameter at the same monitoring point exceeds the warning threshold again, then when sending a new warning form to the review node, the old warning form and the new warning form can be associated.

[0092] Based on this solution, for the same parameter of the same monitoring point, if the prior warning process has eliminated the warning, the subsequent warning process associated with the prior warning form can automatically and quickly integrate the warning processes with relevant relationships, associate the two warning processes, without the need for the manager to manually search or rely on memory to determine the association relationship, which can assist the manager of the review node in making a decision and reduce the probability of inaccurate decision-making by the reviewer due to the inapparent danger situation and the lack of continuous warning, resulting from the failure to connect relevant warnings.

[0093] Optionally, in the control method of the safety monitoring and early warning process of a deep foundation pit provided in the embodiment of the present disclosure, the following S309 may also be included: S309: If an attachment upload is detected, the uploaded attachment is identified and key information is extracted.

[0094] Among them, the uploaded attachments include at least one of the following: monitoring report, on-site photos, sensor data charts; key information includes at least one of the following: equipment model information, risk characteristic words, visual hazard image features.

[0095] By integrating OCR text recognition and image semantic segmentation technology, three types of key information can be automatically extracted: one is structured data (such as support pile number "ZK-35", axial force gauge model "VW-436A"); the second is risk characteristic vocabulary (such as bold warning words such as "displacement exceeds standard" and "leakage alarm"); the third is visual evidence of hidden dangers (such as abnormal image features such as cracks in the support structure and soil uplift).

[0096] Furthermore, if S309 is executed before S301, then before S301, at least one of the following steps S310a and S310b may also be included: S310a: If a high-risk keyword is parsed, a red warning channel is activated, a first warning process is initiated, and warning points are marked in the three-dimensional geological model.

[0097] Among them, the warning level of the first warning process is the highest warning level among the preset warning levels.

[0098] For example, when high-risk keywords such as "landslide precursor" and "exceeding warning value" are analyzed, the system will automatically activate the red warning channel, not only pushing text messages to the mobile phones of the project manager and the person in charge of the supervision party in real time, but also marking the warning points in the three-dimensional geological model.

[0099] S310b. If the change rate of the shape of the device identified by image recognition exceeds a preset percentage, a first warning process is initiated and an equipment disposal work order with positioning coordinates is generated, and a disposal plan is previewed by linking the Building Information Modeling (BIM).

[0100] For example, if the algorithm identifies in the image that the curvature of the steel support exceeds 5‰, a reinforcement work order with positioning coordinates will be generated simultaneously, and the BIM model will be linked to preview the reinforcement plan.

[0101] Based on this solution, through multimodal data fusion and intelligent analysis, closed-loop management from early warning identification, level determination to disposal tracking is achieved, and the response efficiency is improved by more than 80% compared with traditional manual judgment methods.

[0102] Furthermore, if S309 is executed after S301, after the above-mentioned S301, the following S310c may further be included: S310c: If a high-risk keyword is parsed, upgrade the warning level of the first warning process to the highest warning level among the preset warning levels.

[0103] Based on this solution, after the first process has been initiated based on the batch-uploaded monitoring data, if a high-risk keyword is detected in the information related to the first monitoring data in the subsequently uploaded attachment information, the warning level can be quickly upgraded, improving the warning efficiency.

[0104] Example: Taking the monitoring parts of the retaining piles on the foundation pit slope of the A deep foundation pit project as an example, the measuring points MGL-D1-1 and MGL-D1-2 are respectively two measuring points of the monitoring parts of the retaining piles; the specific implementation process is as follows: First step: Enter a piece of monitoring data for the two measuring points at 10:00 on April 10 respectively, and compare the monitoring data with the warning thresholds corresponding to various warning levels configured for the two measuring points.

[0105] Second step: If a general warning is generated for the anchoring force of the measuring point MGL-D1-1 and a general warning is also generated for the measuring point MGL-D1-2, initiate an automatically merged warning process.

[0106] The warning information format is as follows: "At 10:00 on April 10, the anchoring forces of the measuring points MGL-D1-1 and MGL-D1-2 of the retaining pile monitoring part of the A deep foundation pit project are 810 kN (kilonewtons) and 820 kN respectively, both of which are general warnings. Please take measures immediately."

[0107] Third step: As Figure 4 shown, after the warning process is automatically initiated, the user at the first node of the process receives a warning message reminder, and the form information such as the engineering project, warning level, warning information, and warning handling details is automatically filled in on the form. The form information can be edited / unedited according to the permissions of the current node user. For the editable content, the font style can be set, such as highlighting in yellow and bolding.

[0108] Fourth step: Conduct a review step by step according to the warning process, fill in opinions, and select: agree, roll back, false alarm. If "agree / roll back" is selected, relevant parties can be checked to send emails and upload review attachments (reports, pictures, etc.), and then enter the next / previous node (here, step-by-step rollback is supported, and short-process rollback is supported); if "false alarm" is selected, the process ends.

[0109] Step 5: The process of initiating an early warning and handling the early warning can notify relevant parties via text messages and emails. When initiating an early warning in Step 2, if it is a general early warning, it is processed step by step from the first node according to the general process; if it is an emergency early warning (for merged early warnings, if it contains at least one emergency early warning, it is also considered an emergency early warning), then all nodes immediately accept the processing according to the emergency process.

[0110] Step 6: If all the early warning process nodes are normally processed or the process is closed, it is default that the early warning is cleared. If all the early warning process nodes have not been processed or the process is not closed, but the system detects that the data of the latest N monitoring cycles of the early warning measurement points in the early warning monitoring area are within the normal threshold range, it means that the early warning is cleared and a message is notified to each process node, then the process is updated in real time, and then the process is closed; all the materials of the alarm situation are automatically archived, and the details of the archived materials can be viewed, and the details include the historical process handling and content information.

[0111] Corresponding to the embodiments of the foregoing method, the present disclosure also provides embodiments of a device and a computer device to which the device is applied.

[0112] The embodiments of the device of the present disclosure can be applied to a computer device, such as a server or a terminal device. The device embodiments can be implemented by software, or by hardware or a combination of software and hardware. Taking software implementation as an example, as a device for controlling the safety monitoring and early warning process of a deep foundation pit in a logical sense, it is formed by the processor of its engineering projection reading the corresponding computer program instructions in the non-volatile memory into the memory for operation. From the hardware level, as Figure 5 shown, it is a hardware structure diagram of the computer device where the method for controlling the safety monitoring and early warning process of a deep foundation pit provided by the embodiments of the present disclosure is located. Except for Figure 5 the processor 510, memory 530, network interface 520, and non-volatile memory 540 shown, the server or electronic device where the method 531 for controlling the safety monitoring and early warning process of a deep foundation pit in the embodiments is located usually includes other hardware according to the actual functions of the computer device, which will not be elaborated here.

[0113] Correspondingly, the present disclosure also provides a device for controlling the safety monitoring and early warning process of a deep foundation pit, the device includes a processor; a memory for storing instructions executable by the processor; wherein, the processor is configured to: execute the steps of the method for controlling the safety monitoring and early warning process of a deep foundation pit in the above method embodiments.

[0114] The present disclosure also provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, it implements each step in the above method embodiments.

[0115] The present disclosure also provides a computer device, which includes a memory, a processor, and computer-readable instructions stored on the memory and executable on the processor. When the computer-readable instructions are executed by the processor, each step in the method embodiment described above is implemented.

[0116] For the implementation processes of the functions and actions of each module in the above device, refer to the implementation processes of the corresponding steps in the above method for details, which will not be elaborated herein.

[0117] For the device embodiment, since it basically corresponds to the method embodiment, the relevant parts can refer to the partial description of the method embodiment. The device embodiments described above are only illustrative. The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical modules, that is, they may be located in one place or distributed to multiple network modules. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution of the present disclosure. Those of ordinary skill in the art can understand and implement it without creative efforts.

[0118] The above describes specific embodiments of the present disclosure. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recited in the claims can be performed in a different order than in the embodiments and still achieve the desired results. Additionally, the processes depicted in the figures do not necessarily require the particular order or sequential order shown to achieve the desired results. In certain embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0119] Those skilled in the art will readily conceive of other implementations of the present disclosure after considering the specification and practicing the invention herein. The present disclosure is intended to cover any variations, uses, or adaptations of the present disclosure that follow the general principles of the present disclosure and include common general knowledge or conventional technical means in the technical field not claimed in the present disclosure. The specification and embodiments are only to be regarded as exemplary, and the true scope and spirit of the present disclosure are pointed out by the following claims.

[0120] It should be understood that the present disclosure is not limited to the exact structures described above and shown in the drawings, and various modifications and changes can be made without departing from its scope. The scope of the present disclosure is only limited by the appended claims.

[0121] The above are only the preferred embodiments of the present disclosure and are not intended to limit the present disclosure. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present disclosure shall be included within the scope of protection of the present disclosure.

Claims

1. A control method for the safety monitoring and early warning process of a deep foundation pit, characterized in that, The method includes: When a large amount of monitoring data of a deep foundation pit is input in batches, detecting whether the monitoring data exceeds the warning threshold; If it is determined that the first monitoring data exceeds the warning threshold, initiate a first warning process, call the configured warning process template based on the first monitoring data, and fill in the warning information in the warning process template; wherein, the warning information includes non-editable content and editable content, the first monitoring data is non-editable content, and the editable content of different-level review nodes is different; According to the warning level corresponding to the warning threshold, select a review node and send the first warning form filled with information to the review node; If the warning cancellation condition of the first warning process is detected, cancel the first warning process and automatically archive the record of the first warning process.

2. The method according to claim 1, characterized in that, Before sending the first warning form filled with information to the review node, the method further includes: If multiple monitoring data of the first parameter of the first monitoring point are continuously exceeding the warning threshold, merge the warning processes of the multiple monitoring data into the first warning process, and merge and fill in the multiple monitoring data in the first warning form; Wherein, the first monitoring data is the monitoring data of the first parameter of the first monitoring point.

3. The method according to claim 1 or 2, characterized in that, The first monitoring data is the monitoring data of the first parameter of the first monitoring point; Before sending the first warning form filled with information to the review node, the method further includes: If the second monitoring data of the first parameter of the second monitoring point also exceeds the warning threshold, merge the warning process of the second monitoring data into the first warning process, and merge and fill in the second monitoring data in the first warning form.

4. The method according to claim 3, characterized in that, The method further includes: When merging and filling in multiple monitoring data in the same warning form, if the warning levels corresponding to the multiple monitoring data are different, fill in the highest warning level corresponding to the multiple warning thresholds in the warning form.

5. The method according to claim 1, characterized in that The first monitoring data is the monitoring data of the first parameter of the first monitoring point; After sending the first warning form filled with information to the review node, the method further includes: If it is detected that the third monitoring data of the first parameter of the same monitoring point exceeds the warning threshold, generate a second warning process; Associate the first warning form when sending the second warning form to the review node.

6. The method according to claim 1, characterized in that, The step of selecting a review node according to the warning level and sending the first warning form filled with information to the review node includes: If the warning level is less than the first warning level, determine that the first warning process is a non-urgent warning, and send the first warning form filled with information to each review node step by step; If the warning level is greater than the first warning level, determine that the first warning process is an urgent warning, and send the first warning form filled with information to each review node simultaneously.

7. The method according to claim 1, wherein The method further includes: If it is detected that an attachment is uploaded, identify the uploaded attachment and extract key information; Among them, the uploaded attachments include at least one of the following: monitoring report, on-site photos, sensor data charts; the key information includes at least one of the following: equipment model information, risk characteristic words, visual hazard image features.

8. The method according to claim 7, characterized in that Before initiating the first warning process, the method further includes: If a high-risk keyword is parsed, the red warning channel is activated, the first warning process is initiated, and the warning points are marked in the three-dimensional geological model. The warning level of the first warning process is the highest warning level among the preset warning levels; If the rate of change of the shape of the equipment through image recognition exceeds a preset percentage, the first early warning process is initiated and an equipment disposal work order with positioning coordinates is generated, and the disposal plan is previewed by the building information model (BIM) model.

9. The method according to claim 7, wherein After initiating the first warning process, the method further includes: If a high-risk keyword is parsed, the warning level of the first warning process is upgraded to the highest warning level among the preset warning levels.

10. A control system for the safety monitoring and early warning process of a deep foundation pit, characterized in that, The management and control system includes: a data detection module, a process warning module, a process configuration module, a message notification module and a warning elimination module; The data detection module is used to detect whether the monitoring data exceeds the warning threshold when the monitoring data of the deep foundation pit is input in batches; The process warning module is used to initiate a first warning process when determining that the first monitoring data exceeds the warning threshold, call the warning process template configured in the process configuration module based on the first monitoring data, and fill in the warning information in the first warning process template; wherein the warning information includes non-editable content and editable content, the first monitoring data is non-editable content, and the editable content of different levels of review nodes is different; The message notification module is used to select a review node according to the warning level corresponding to the warning threshold, and send the first warning form with filled information to the review node; The warning elimination module is used to eliminate the first warning process and automatically archive the record of the first warning process if the warning elimination condition of the first warning process is detected.

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