A non-contact grouting monitoring method, system, device and storage medium

Abstract

The application relates to the field of concrete pouring, in particular to a non-contact grouting monitoring method, system, device and storage medium, the method comprising the following steps: obtaining a to-be-monitored operation; obtaining a to-be-monitored area based on the to-be-monitored operation; obtaining a to-be-monitored point based on the to-be-monitored area; obtaining monitoring data based on the to-be-monitored point; judging whether abnormal data exist based on the monitoring data; if the abnormal data exist, obtaining an abnormal time; and analyzing an abnormal reason based on the abnormal time. The application has the effect that the abnormal reason can be analyzed during pouring, problems occurring during pouring can be solved in time, and the quality of a project is not affected.

Description

Technical Field

[0001] This application relates to the field of concrete pouring, and in particular to a non-contact grouting monitoring method, system, equipment, and storage medium. Background Technology

[0002] During the construction process, grouting directly affects the quality of the project due to geological conditions such as water seepage and other geological issues. To prevent quality problems from occurring during grouting, it is necessary to monitor the grouting process.

[0003] In related technologies, traditional grouting process monitoring uses a recorder, which directly inserts a probe into the grouting site to collect data during the grouting process.

[0004] Regarding the aforementioned technologies, traditional recorders are not only cumbersome to collect data, but also cannot directly analyze the collected data. The data can only be uploaded to staff for analysis after grouting. Summary of the Invention

[0005] In order to monitor the quality of the grouting process in real time, this application provides a non-contact grouting monitoring method, system, equipment and storage medium.

[0006] The non-contact grouting monitoring method provided in this application adopts the following technical solution:

[0007] A non-contact grouting monitoring method, comprising:

[0008] Obtain the jobs to be monitored;

[0009] Based on the task to be monitored, the area to be monitored is obtained;

[0010] Based on the area to be monitored, obtain the points to be monitored;

[0011] Based on the points to be monitored, acquire monitoring data;

[0012] Based on the monitoring data, determine whether there is any abnormal data;

[0013] If the abnormal data exists, then obtain the abnormal time corresponding to the abnormal data;

[0014] Based on the aforementioned abnormal time, the cause of the abnormality was analyzed.

[0015] By adopting the above technical solution, the work to be inspected is first acquired, and the area to be monitored is identified based on the work. Then, monitoring points need to be set up in the area. Monitoring data is then acquired from each monitoring point, and the data is analyzed to check for any abnormal data in the monitoring log. If abnormal data is found, the time of the abnormality is obtained, and the abnormal time is compared with the irrigation record at that time to analyze the cause of the abnormality. The cause of the abnormality can be analyzed during the irrigation process, and problems that occur during the irrigation process can be resolved in a timely manner to avoid affecting the quality of the project.

[0016] Optionally, acquiring the monitoring point includes:

[0017] Based on the area to be monitored, the structure and dimensions of the area to be grouted are obtained.

[0018] Based on the structure of the area to be grouted, the joint position of the area to be grouted is obtained;

[0019] Based on the size of the area to be grouted and the preset interval distance, the monitoring points are calculated;

[0020] Based on the joint location and the calculated monitoring point, the monitoring point is obtained.

[0021] By adopting the above technical solution, when setting up monitoring points, it is necessary to take into account the structure and size of the monitoring area, especially the joint position, which needs to be guaranteed to have a certain strength. In other places, monitoring points are set at certain intervals to ensure that all places can be monitored when the area to be monitored is irrigated.

[0022] Optionally, determining whether abnormal data exists based on the monitoring data includes:

[0023] Obtain the standard data corresponding to the monitoring data;

[0024] Determine whether the standard data is the latest version;

[0025] If the standard data is not the latest version, obtain the update information;

[0026] Based on the updated information, the standard data is updated to obtain updated standard data;

[0027] Determine whether the monitoring data falls within the range of the updated standard data;

[0028] If the standard data is within the range of the updated standard data, then it is determined that there is no abnormal data.

[0029] If the standard data is not within the range of the updated standard data, then it is determined that there is no abnormal data.

[0030] By adopting the above technical solution, the labeled data is time-limited, and updated labels may appear. Therefore, it is first necessary to determine whether the standard data is the latest version. If it is not the latest version, update information is obtained, and the updated version data is retrieved based on the update information. Then, the monitoring data is compared with the updated version data to determine if there is any abnormal data. This ensures that the standard data is up-to-date and reliable, avoiding problems caused by version differences.

[0031] Optionally, the analysis of the cause of the anomaly based on the anomaly time includes:

[0032] Retrieve the exception data type corresponding to the exception time;

[0033] Based on the abnormal data type, determine whether there is any related data;

[0034] If the associated data exists, obtain the irrigation method of the monitoring point and determine whether the irrigation method is normal;

[0035] If the irrigation method is abnormal, then the irrigation method shall be taken as the cause of the abnormality.

[0036] By adopting the above technical solution, the abnormal data type refers to the specific type of abnormal data, the related data refers to the abnormality of one type of data that may cause abnormality in other data, and the irrigation method refers to the reasons that may affect the irrigation quality, and many data are affected by the irrigation method, so the problem of the default irrigation method is addressed.

[0037] Optionally, after obtaining the irrigation method and determining whether the irrigation method is normal, the following steps are included:

[0038] If the irrigation method is normal, obtain the verification mode;

[0039] Retrieve the verification data corresponding to the verification mode;

[0040] Based on the verification data, determine whether the monitoring equipment is functioning properly;

[0041] If the monitoring equipment malfunctions, the malfunction will be taken as the cause of the malfunction.

[0042] If the monitoring equipment is functioning normally, then upload the abnormal information.

[0043] By adopting the above technical solution, when abnormal data is detected, the problem may not be with the irrigation process, but rather with the monitoring equipment. Therefore, a verification mode is entered, and verification data is obtained in this mode. Based on the verification data, it is confirmed whether the monitoring is normal. If the monitoring equipment is abnormal, the cause of the abnormality is a monitoring equipment malfunction; if the monitoring equipment is normal, the abnormality information is uploaded. This prevents incorrect judgments from being made due to monitoring equipment malfunction.

[0044] Optionally, after analyzing the cause of the anomaly based on the anomaly time, the method further includes:

[0045] Based on the aforementioned abnormal data type, the scope of the abnormality is determined;

[0046] Determine whether the abnormal range exceeds the shutdown range;

[0047] If the abnormal range exceeds the shutdown range, shutdown information is generated;

[0048] If the abnormal range does not exceed the shutdown range, adjustment information is generated.

[0049] By adopting the above technical solution, even if there are abnormal data, as long as the range of abnormal data does not exceed the scope of work stoppage, it is acceptable or will not have a significant impact on the quality of the project. Adjustment information can then be generated.

[0050] Optional, obtain the adjustment time;

[0051] After the adjustment time, the monitoring data is reacquired and it is determined whether the monitoring data has returned to normal.

[0052] If the monitoring data does not return to normal, a work stoppage message will be generated.

[0053] By adopting the above technical solution, if there is any data anomaly, the irrigation equipment needs to be notified in a timely manner for adjustment. If the monitoring data obtained after the adjustment period is over is still abnormal, a work stoppage notice needs to be generated for inspection to avoid affecting the quality of the project.

[0054] Secondly, this application provides a non-contact grouting monitoring system, which adopts the following technical solution:

[0055] A non-contact grouting monitoring system, comprising:

[0056] The first acquisition module is used to acquire the jobs to be monitored.

[0057] The second acquisition module is used to acquire the area to be monitored based on the operation to be monitored;

[0058] The third acquisition module is used to acquire the points to be monitored based on the area to be monitored;

[0059] The fourth acquisition module is used to acquire monitoring data based on the point to be monitored;

[0060] The judgment module is used to determine whether there is abnormal data based on the monitoring data;

[0061] The fifth acquisition module, if there is abnormal data, is used to acquire the abnormal time corresponding to the abnormal data;

[0062] The analysis module is used to analyze the cause of the anomaly based on the anomaly time.

[0063] By adopting the above technical solution, the first acquisition module is used to acquire the work to be monitored. The first acquisition module is connected to the second acquisition module, which acquires the area to be monitored based on the work. The second acquisition module is connected to the third acquisition module, which acquires the monitoring points. The third acquisition module is connected to the fourth acquisition module, which acquires monitoring data based on the monitoring points. The fourth acquisition module is connected to the judgment module, which determines whether there is abnormal data in the monitoring data. If abnormal data is found, the fifth acquisition module acquires the abnormal time. The fifth acquisition module is connected to the analysis module, which analyzes the cause of the abnormality based on the abnormal time. The cause of the abnormality can be analyzed during the pouring process, allowing for timely resolution of problems that arise during pouring and preventing impact on project quality.

[0064] Thirdly, this application provides a terminal device, which adopts the following technical solution:

[0065] A terminal device includes a memory and a processor, the memory storing a computer program that can run on the processor, and the processor loading and executing the computer program using any of the methods described above.

[0066] By adopting the above technical solution, a computer program is generated by the above method and stored in a memory for loading and execution by a processor. Thus, a terminal device is made based on the memory and processor, which is convenient to use.

[0067] Fourthly, this application provides a computer-readable storage medium, which adopts the following technical solution:

[0068] A computer-readable storage medium storing a computer program, wherein when the computer program is loaded and executed by a processor, the aforementioned non-contact grouting monitoring method is employed.

[0069] By adopting the above technical solution, a computer program is generated from the above non-contact grouting monitoring method and stored in a computer-readable storage medium for loading and execution by a processor. The computer-readable storage medium facilitates the reading and storage of the computer program.

[0070] In summary, this application includes at least one of the following beneficial technical effects:

[0071] First, the work to be inspected is acquired, and the area requiring monitoring is identified. Then, monitoring points are determined for that area. Monitoring data is collected from each point, and analyzed to identify any anomalies. If anomalies are found, the time of the anomaly is recorded and compared with the corresponding irrigation records to determine the cause. The cause of the anomaly can be analyzed during the irrigation process, allowing for timely resolution of any issues and preventing impacts on project quality. Attached Figure Description

[0072] Figure 1 This is a flowchart illustrating one embodiment of a non-contact grouting monitoring method according to an example of this application.

[0073] Figure 2 This is a flowchart illustrating one embodiment of a non-contact grouting monitoring method according to an example of this application.

[0074] Figure 3 This is a flowchart illustrating one embodiment of a non-contact grouting monitoring method according to an example of this application.

[0075] Figure 4 This is a flowchart illustrating one embodiment of a non-contact grouting monitoring method according to an example of this application.

[0076] Figure 5 This is a flowchart illustrating one embodiment of a non-contact grouting monitoring method according to an example of this application.

[0077] Figure 6 This is a flowchart illustrating one embodiment of a non-contact grouting monitoring method according to an example of this application.

[0078] Figure 7 This is a flowchart illustrating one embodiment of a non-contact grouting monitoring method according to an example of this application.

[0079] Figure 8 This is a system block diagram of a non-contact grouting monitoring system according to an embodiment of this application.

[0080] Explanation of reference numerals in the attached figures:

[0081] 1. First acquisition module; 2. Second acquisition module; 3. Third acquisition module; 4. Fourth acquisition module; 5. Judgment module; 6. Fifth acquisition module; 7. Analysis module. Detailed Implementation

[0082] The present application will be further described in detail below with reference to all the accompanying drawings.

[0083] This application discloses a non-contact grouting monitoring method, referring to... Figure 1 ,include:

[0084] S100, Obtain the job to be monitored.

[0085] Specifically, the monitoring task to be monitored is the set monitoring task, which includes the monitoring location and the monitoring time.

[0086] S110. Based on the task to be monitored, obtain the area to be monitored.

[0087] Specifically, the construction drawings of the area to be monitored can be retrieved from the database by referring to the monitoring locations in the monitoring operation. The structure and shape of the grouting area can be obtained from the construction drawings.

[0088] S120. Based on the area to be monitored, obtain the points to be monitored.

[0089] Specifically, the monitoring points are the data collection points that need to be set up to monitor the area to be monitored. Considering cost issues, it is impossible to set up too many monitoring points. The number of monitoring points should be as small as possible while still being able to collect enough monitoring data for the area to be monitored.

[0090] S130. Based on the monitoring point, acquire monitoring data.

[0091] Specifically, the monitoring data refers to the data that needs to be monitored during the grouting project, including data such as flow rate, pressure, and density.

[0092] S140. Based on the monitoring data, determine whether there is any abnormal data.

[0093] Specifically, abnormal data refers to collected monitoring data that exceeds the normal range. For example, if the monitored flow rate is faster than the normal value, it is considered abnormal. The presence of abnormal data indicates that there may be a problem in the grouting process.

[0094] S150. If there is abnormal data, then the abnormal time corresponding to the abnormal data.

[0095] Specifically, the abnormal time is the time when abnormal data is detected, specifically the time when a certain type of abnormal monitoring data is detected, such as the time when abnormal traffic data is detected.

[0096] S160. Analyze the cause of the anomaly based on the anomaly time.

[0097] Specifically, by communicating with the grouting equipment, data from the grouting equipment at abnormal times can be obtained to analyze the possible causes of the abnormality, such as excessive power setting of the grouting equipment leading to excessive flow.

[0098] The implementation principle of this application is as follows: First, the work to be inspected is acquired. Based on the work, the area requiring monitoring is identified. Then, monitoring points need to be set up in that area. Monitoring data is acquired from each monitoring point. The monitoring data is analyzed to confirm whether there is any abnormal data in the monitoring log. If abnormal data is found, the abnormal time is acquired. The abnormal time is then compared with the irrigation record at the time of the irrigation operation to analyze the cause of the abnormality. The cause of the abnormality can be analyzed during the irrigation process, allowing for timely resolution of problems that arise during irrigation and preventing impact on project quality.

[0099] In one embodiment of this example, such as Figure 2 As shown, step S120, which involves obtaining the monitoring point, includes:

[0100] S200. Based on the area to be monitored, obtain the structure and dimensions of the area to be grouted.

[0101] Specifically, the structure of the area to be grouted is obtained from the construction drawings, including the connecting structure and the shape of the grouting, while the dimensions of the area to be grouted are the area to be grouted, consisting of length and width.

[0102] S210. Based on the structure of the area to be grouted, obtain the joint location of the area to be grouted.

[0103] Specifically, the joint location is the connection or boundary between the current grouting location and other objects or areas. Since the concrete strength at the joint needs to be sufficient to ensure the overall strength, the joint needs to be monitored separately.

[0104] S220. Based on the size of the area to be grouted and the preset interval distance, calculate the monitoring points.

[0105] Specifically, the grouting area dimensions are planar dimensions, including length and width. The interval distance is the distance between two monitoring points when setting up monitoring points. The specific length of the interval distance can be set by the user. Taking a standard rectangular cross-section as an example, the interval distance includes the interval distance in the length direction and the interval distance in the width direction. The monitoring points are calculated based on the dimensions of the area to be grouted and the interval distance. Setting too many monitoring points will increase additional economic expenditures, so a reasonable number of monitoring points need to be set.

[0106] S230. Based on the joint location and the calculated monitoring points, obtain the monitoring points.

[0107] Specifically, based on the interval distance and the size of the area to be grouted, calculate the number of monitoring points to be set. For example, if the size is 5*5, assuming one monitoring point is set every unit, then 25 monitoring points are needed. If the calculation result is a decimal, the number of monitoring points will be an integer plus one. Joint locations require separate monitoring points, which are also set at intervals.

[0108] The implementation principle of this method is as follows: when setting monitoring points, it is necessary to take into account the structure and size of the monitoring area, especially the joint position, which needs to be guaranteed to have a certain strength. In other places, monitoring points are set at certain intervals to ensure that all places can be monitored when the area to be monitored is irrigated.

[0109] In one embodiment of this example, such as Figure 3 As shown, step S140, which determines whether there is abnormal data based on the monitoring data, includes:

[0110] S300: Obtain the standard data corresponding to the monitoring data.

[0111] Specifically, the standard data refers to the range of data under normal conditions during the grouting process. The standard data is different for different types of data. For example, flow data has its own standard data, and pressure data has its own standard data.

[0112] S310. Determine if the standard data is the latest version.

[0113] Specifically, the latest version of the standard data is based on the latest data. Although the standard data is not updated frequently, there are still version iterations.

[0114] S320. If the standard data is not the latest version, obtain the update information.

[0115] Specifically, the update information is about changing the current version's standard data to the latest version. The update information will only be updated when there is a network connection. If there is no network connection, it will be updated automatically when a network connection is available.

[0116] S330. Based on the updated information, update the standard data to obtain the updated standard data.

[0117] Specifically, the updated standard data is the latest standard data obtained after the update.

[0118] S340. Determine whether the monitoring data is within the range of the updated standard data.

[0119] Specifically, determining whether the monitoring data falls within the updated standard data range involves comparing the corresponding data with the standard data. For example, for pressure data, the monitored pressure data is compared with the standard pressure data range. If the monitored pressure data falls within the standard pressure data range, step S350 is executed; otherwise, step S360 is executed. The standard data can be obtained from national or local standards based on design specifications.

[0120] S350. If the standard data is within the range of the updated standard data, then it is determined that there is no abnormal data.

[0121] S360. If the standard data is not within the scope of the updated standard data, then abnormal data is determined to exist.

[0122] The implementation principle of this method is as follows: Labeled data has a time limit, and updated labels may appear. Therefore, it is first necessary to determine whether the standard data is the latest version. If it is not the latest version, update information is obtained, and updated version data is retrieved based on the update information. Then, the monitoring data is compared with the updated version data to determine if there is any abnormal data. This ensures that the standard data is up-to-date and reliable, avoiding problems caused by version differences.

[0123] In one embodiment of this example, such as Figure 4 As shown, step S160, based on the abnormal time, analyzes the causes of the abnormality, including:

[0124] S400: Obtain the exception data type corresponding to the exception time.

[0125] Specifically, the abnormal data type refers to the specific type of abnormal data. By querying the abnormal time, the corresponding abnormal data type can be found, clearly indicating which type of data is abnormal, thus allowing for targeted solutions, such as stress data abnormalities.

[0126] S410. Based on the abnormal data type, determine whether there is related data.

[0127] Specifically, correlated data refers to the simultaneous existence of abnormal data that influence each other. It is even possible that other abnormal data are caused by some kind of data anomaly. For example, flow data, if the flow rate is too fast, it will cause abnormal pressure and density data. If the flow rate is too fast, it will cause uneven vibration of concrete and increase local pressure data.

[0128] Retrieving related data includes:

[0129] Get the number of abnormal data types;

[0130] Determine if the number of abnormal data types is greater than one;

[0131] If the number of abnormal data types is greater than one, then obtain the abnormal time of each abnormal data and take the abnormal time of the first abnormal data as the standard time.

[0132] Based on the abnormal time and standard time of the remaining abnormal data, obtain the abnormal time difference;

[0133] Determine whether the abnormal time difference is less than the time difference value;

[0134] If the abnormal time difference is less than the time difference value, it is determined that there is related data.

[0135] Specifically, the number of abnormal data types refers to the types of abnormal data that occur when abnormal data appears. Determining whether the number of abnormal data types is greater than one is to confirm whether multiple types of data are abnormal at the same time. Only when multiple types of data are abnormal at the same time can there be related data, that is, a situation where one type of data abnormality causes other data abnormalities. The time of the first abnormal data occurrence is taken as the standard time. If the difference between the abnormal time of other types of abnormal data that occur later and the abnormal time of the standard time is within the time difference range, it means that the other types of abnormal data may be a chain reaction caused by the first abnormal data occurrence, and therefore related data is considered to exist.

[0136] S420. If there is associated data, obtain the irrigation method of the monitoring point and determine whether the irrigation method is normal.

[0137] Specifically, different irrigation methods will result in different flow rates, and abnormal flow rate data will lead to abnormal pressure and density data. During construction, an irrigation method that does not conform to the design may be selected in order to speed up construction. Therefore, when the related data are also abnormal, the irrigation method should be given priority.

[0138] S430. If the irrigation method is abnormal, the irrigation method shall be regarded as the cause of the abnormality.

[0139] The implementation principle of this method is as follows: the abnormal data type refers to the specific type of abnormal data, the related data refers to the abnormality of one type of data that may cause abnormality in other data, and the irrigation method refers to the reason that may affect the irrigation quality and many data are affected by the irrigation method. Therefore, when the related data is also abnormal, the problem of defaulting to the irrigation method is addressed.

[0140] In one embodiment of this example, such as Figure 5 As shown, after obtaining the irrigation method and determining whether the irrigation method is normal, step S420 includes:

[0141] S500, if the irrigation method is normal, obtain the verification mode.

[0142] Specifically, the verification mode is a device self-test mode set up to verify whether the monitoring device is faulty when an anomaly occurs.

[0143] S510. Obtain the verification data corresponding to the verification mode.

[0144] Specifically, the verification data is a set of simulated data generated by the monitoring equipment. The simulated data is the input data obtained by the monitoring equipment, such as the monitored pressure data. The simulated data is the pressure data output by the monitoring equipment after a fixed pressure value is detected.

[0145] S520. Based on the verification data, determine whether the monitoring equipment is functioning properly.

[0146] Specifically, if the output pressure data and the default fixed pressure data are the same within a certain range, the monitoring device is normal, and step S540 is executed; otherwise, the device is abnormal, and step S530 is executed.

[0147] S530. If the monitoring equipment is abnormal, the abnormality shall be taken as the cause of the abnormality.

[0148] S540. If the monitoring equipment is normal, upload the abnormal information.

[0149] Specifically, if the monitored data is still abnormal even when the equipment is functioning normally, the abnormal information needs to be uploaded, and the staff will then determine whether construction can continue based on the abnormal information.

[0150] The implementation principle of this method is as follows: When abnormal data is detected, the problem may not be with the irrigation process, but rather with the monitoring equipment. Therefore, a verification mode is entered, and verification data is obtained in this mode. The verification data is used to confirm whether the monitoring is normal. If the monitoring equipment is abnormal, the cause of the abnormality is a monitoring equipment malfunction; if the monitoring equipment is normal, the abnormality information is uploaded. This prevents incorrect judgments from being made due to monitoring equipment malfunction.

[0151] In one embodiment of this example, such as Figure 6 As shown, step S160, after analyzing the cause of the anomaly based on the anomaly time, also includes:

[0152] S600. Based on the abnormal data, confirm the scope of the abnormality.

[0153] Specifically, the abnormal range refers to the degree to which abnormal data exceeds the standard data. Different degrees are divided into different ranges, such as the first range, the second range, and the third range. The degree to which the abnormal data exceeds the standard range increases with each of the three ranges.

[0154] S610. Determine whether the abnormal range exceeds the shutdown range.

[0155] Specifically, the scope of the work stoppage is the maximum allowable abnormality range during the construction process.

[0156] S620. If the abnormal range exceeds the shutdown range, a shutdown message will be generated.

[0157] Specifically, if the monitoring data only exceeds a portion of the standard data, it may not affect the construction project, so proceed with step S630. If it exceeds the stoppage range, it indicates a problem with the construction and requires timely modification, so proceed with step S620.

[0158] S630. If the abnormal range does not exceed the shutdown range, then adjustment information is generated.

[0159] The implementation principle of this method is as follows: even if there are abnormal data, as long as the range of abnormal data does not exceed the scope of work stoppage, it is acceptable or will not have a significant impact on the quality of the project. Adjustment information can then be generated.

[0160] In one embodiment of this example, such as Figure 7 As shown, step S630, after analyzing the cause of the anomaly based on the anomaly time, also includes:

[0161] S700, Get Adjustment Time.

[0162] Specifically, the adjustment time is the time after abnormal data is detected and uploaded to the construction personnel for rectification.

[0163] S710. After adjusting the time, reacquire the monitoring data and determine whether the monitoring data has returned to normal.

[0164] Specifically, if the monitoring data remains abnormal after the adjustment period, step S720 must be executed to identify the cause of the data anomaly before construction can continue, in order to avoid affecting the quality of the project.

[0165] S720. If the abnormal data is not restored to normal, a work stoppage message will be generated.

[0166] The implementation principle of this method is as follows: when there is abnormal data, the irrigation equipment needs to be notified in a timely manner for adjustment. If the monitoring data is still abnormal after the adjustment period, a work stoppage notice needs to be generated for inspection to avoid affecting the quality of the project.

[0167] Secondly, this application provides a non-contact grouting monitoring system.

[0168] Reference Figure 8 A non-contact grouting monitoring system, comprising:

[0169] The first acquisition module 1 is used to acquire the jobs to be monitored;

[0170] The second acquisition module 2 is used to acquire the area to be monitored based on the operation to be monitored;

[0171] The third acquisition module 3 is used to acquire the monitoring points based on the area to be monitored;

[0172] The fourth acquisition module 4 is used to acquire monitoring data based on the monitoring point;

[0173] Module 5 is used to determine whether there is abnormal data based on the monitoring data;

[0174] The fifth acquisition module 6, if there is abnormal data, is used to acquire the abnormal time corresponding to the abnormal data;

[0175] Analysis module 7 is used to analyze the cause of anomalies based on the time of the anomaly.

[0176] The implementation principle of this method is as follows: First acquisition module 1 acquires the work to be monitored. First acquisition module 1 is connected to second acquisition module 2. Second acquisition module 2 acquires the area to be monitored based on the work to be monitored. Second acquisition module 2 is connected to third acquisition module 3. Third acquisition module 3 acquires the points to be monitored. Third acquisition module 3 is connected to fourth acquisition module 4. Fourth acquisition module 4 acquires monitoring data based on the points to be monitored. Fourth acquisition module 4 is connected to judgment module 5. Judgment module 5 determines whether there is abnormal data in the monitoring data. If abnormal data is found, fifth acquisition module 6 acquires the abnormal time. Fifth acquisition module 6 is connected to analysis module 7. Analysis module 7 analyzes the cause of the abnormality based on the abnormal time. The cause of the abnormality can be analyzed during the pouring process, and problems occurring during the pouring process can be resolved promptly to avoid affecting the project quality.

[0177] This application also discloses a terminal device, including a memory and a processor. The memory stores a computer program that can run on the processor. When the processor loads and executes the computer program, a non-contact grouting monitoring method is used.

[0178] The terminal device can be a computer device such as a desktop computer, a laptop computer, or a cloud server. The terminal device includes, but is not limited to, a processor and a memory. For example, the terminal device may also include input / output devices, network access devices, and buses.

[0179] The processor can be a central processing unit (CPU). Of course, depending on the actual use, it can also be other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), off-the-shelf programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor or any conventional processor, etc., and this application does not limit it.

[0180] The memory can be an internal storage unit of the terminal device, such as a hard disk or RAM of the terminal device, or an external storage device of the terminal device, such as a plug-in hard disk, smart memory card (SMC), secure digital card (SD), or flash memory card (FC) equipped on the terminal device. Furthermore, the memory can be a combination of internal storage units and external storage devices of the terminal device. The memory is used to store computer programs and other programs and data required by the terminal device. The memory can also be used to temporarily store data that has been output or will be output. This application does not limit this.

[0181] In this terminal device, a non-contact grouting monitoring method from the above embodiments is stored in the terminal device's memory and loaded and executed on the terminal device's processor for convenient use.

[0182] This application also discloses a computer-readable storage medium, which stores a computer program, wherein when the computer program is executed by a processor, it employs a non-contact grouting monitoring method as described in the above embodiments.

[0183] The computer program can be stored in a computer-readable medium. The computer program includes computer program code, which can be in the form of source code, object code, executable file, or certain middleware. The computer-readable medium includes any entity or device capable of carrying computer program code, recording media, USB flash drive, portable hard drive, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signals, telecommunication signals, and software distribution media, etc. It should be noted that the computer-readable medium includes, but is not limited to, the above-mentioned components.

[0184] The non-contact grouting monitoring method described in the above embodiments is stored in the computer-readable storage medium and loaded and executed on the processor to facilitate the storage and application of the above method.

[0185] The above are all preferred embodiments of this application, and are not intended to limit the scope of protection of this application. Therefore, all equivalent changes made in accordance with the structure, shape and principle of this application should be covered within the scope of protection of this application.

Claims

1. A non-contact grouting monitoring method, characterized in that, include: Obtain the jobs to be monitored; Based on the task to be monitored, the area to be monitored is obtained; Based on the area to be monitored, obtain the points to be monitored; Based on the points to be monitored, acquire monitoring data; Based on the monitoring data, determine whether there is any abnormal data; If the abnormal data exists, then obtain the abnormal time corresponding to the abnormal data; Based on the aforementioned abnormal time, analyze the cause of the abnormality; The analysis of the cause of the anomaly based on the anomaly time includes: Retrieve the exception data type corresponding to the exception time; Based on the abnormal data type, determine whether there is any related data; If the associated data exists, obtain the irrigation method of the monitoring point and determine whether the irrigation method is normal; If the irrigation method is abnormal, then the irrigation method shall be taken as the cause of the abnormality. The step of determining whether there is associated data based on the abnormal data type includes: Get the number of abnormal data types. The number of abnormal data types is the number of different types of abnormal data when abnormal data occurs. Determine if the number of abnormal data types is greater than one; If the number of abnormal data types is greater than one, then obtain the abnormal time of each abnormal data and take the abnormal time of the first abnormal data as the standard time. Based on the abnormal time and standard time of the remaining abnormal data, obtain the abnormal time difference; Determine whether the abnormal time difference is less than the time difference value; If the abnormal time difference is less than the time difference value, it is determined that there is related data.

2. The non-contact grouting monitoring method according to claim 1, characterized in that, The acquisition of the monitoring points includes: Based on the area to be monitored, the structure and dimensions of the area to be grouted are obtained. Based on the structure of the area to be grouted, the joint position of the area to be grouted is obtained; Based on the size of the area to be grouted and the preset interval distance, the monitoring points are calculated; Based on the joint location and the calculated monitoring point, the monitoring point is obtained.

3. The non-contact grouting monitoring method according to claim 1, characterized in that, The determination of whether abnormal data exists based on the monitoring data includes: Obtain the standard data corresponding to the monitoring data; Determine whether the standard data is the latest version; If the standard data is not the latest version, obtain the update information; Based on the updated information, the standard data is updated to obtain updated standard data; Determine whether the monitoring data falls within the range of the updated standard data; If the standard data is within the range of the updated standard data, then it is determined that there is no abnormal data. If the standard data is not within the range of the updated standard data, then it is determined that there is no abnormal data.

4. The non-contact grouting monitoring method according to claim 1, characterized in that, After obtaining the irrigation method and determining whether the irrigation method is normal, the following steps are included: If the irrigation method is normal, obtain the verification mode; Obtain the verification data corresponding to the verification mode; Based on the verification data, determine whether the monitoring equipment is functioning properly; If the monitoring equipment malfunctions, the malfunction will be taken as the cause of the malfunction. If the monitoring equipment is functioning normally, then upload the abnormal information.

5. The non-contact grouting monitoring method according to claim 1, characterized in that, The process of analyzing the cause of the anomaly based on the anomaly time also includes: Based on the aforementioned abnormal data type, the scope of the abnormality is determined; Determine whether the abnormal range exceeds the shutdown range; If the abnormal range exceeds the shutdown range, shutdown information is generated; If the abnormal range does not exceed the shutdown range, adjustment information is generated.

6. The non-contact grouting monitoring method according to claim 5, characterized in that, The generation of adjustment information includes: Get the adjustment time; After the adjustment time, the monitoring data is reacquired and it is determined whether the monitoring data has returned to normal. If the monitoring data does not return to normal, a work stoppage message will be generated.

7. A non-contact grouting monitoring system, characterized in that, include: The first acquisition module (1) is used to acquire the job to be monitored; The second acquisition module (2) is used to acquire the area to be monitored based on the operation to be monitored; The third acquisition module (3) is used to acquire the monitoring points based on the monitoring area; The fourth acquisition module (4) is used to acquire monitoring data based on the point to be monitored; The judgment module (5) is used to determine whether there is abnormal data based on the monitoring data; The fifth acquisition module (6) is used to acquire the abnormal time corresponding to the abnormal data if there is abnormal data. Analysis module (7) is used to analyze the cause of the anomaly based on the anomaly time; The analysis of the cause of the anomaly based on the anomaly time includes: Retrieve the exception data type corresponding to the exception time; Based on the abnormal data type, determine whether there is any related data; If the associated data exists, obtain the irrigation method of the monitoring point and determine whether the irrigation method is normal; If the irrigation method is abnormal, then the irrigation method shall be taken as the cause of the abnormality. The step of determining whether there is associated data based on the abnormal data type includes: Get the number of abnormal data types. The number of abnormal data types is the number of different types of abnormal data when abnormal data occurs. Determine if the number of abnormal data types is greater than one; If the number of abnormal data types is greater than one, then obtain the abnormal time of each abnormal data and take the abnormal time of the first abnormal data as the standard time. Based on the abnormal time and standard time of the remaining abnormal data, obtain the abnormal time difference; Determine whether the abnormal time difference is less than the time difference value; If the abnormal time difference is less than the time difference value, it is determined that there is related data.

8. A terminal device, comprising a memory and a processor, characterized in that, The memory stores a computer program that can run on a processor, and when the processor loads and executes the computer program, it employs the method of any one of claims 1 to 6.

9. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is loaded and executed by the processor, it employs the method described in any one of claims 1-6.

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