Dynamic grouting monitoring and early warning method and system

Abstract

The invention relates to the technical field of grouting monitoring and early warning, and particularly discloses a dynamic grouting monitoring and early warning method and system.The method comprises the steps that by obtaining video dynamic data which cannot be tampered in a grouting video detection management system, the uploading qualification degree of a video can be dynamically obtained in real time, and whether video shooting needs to be conducted again or not is judged; the authenticity and effectiveness of subsequent grouting operation detection on each grouting operation dynamic video are guaranteed, so that grouting operation detection is carried out on each grouting operation dynamic video, detection information of each grouting operation is extracted, key variables are grabbed, analyzed and judged, and the construction risk index of each grouting operation is obtained. Therefore, construction problems occurring in the grouting construction process are found and early warned in time, accurate measures are formulated, the risk problems in the grouting construction process are stably solved, the grouting construction quality is guaranteed, and the long-term stability of the structure in a grouting area is guaranteed.

Description

Technical Field

[0001] The invention relates to the technical field of grouting monitoring and early warning, and in particular to a dynamic grouting monitoring and early warning method and system. Background Art

[0002] Grouting is a commonly used civil engineering technology used to enhance the strength and stability of soil or rock, fill cracks, prevent water seepage, etc. With the development of science and technology, various monitoring technologies have gradually been applied to the grouting process. These technologies can monitor the fluidity, curing process and stability of grouting materials in real time and dynamically. Therefore, during the grouting process, there will be safety hazards caused by material flow, uneven curing, etc. Through monitoring and early warning, these risks can be identified in advance, the grouting process can be adjusted in time, construction efficiency can be improved, and material waste can be reduced to ensure the long-term stability of the structure.

[0003] For example, the invention patent with announcement number CN108268329B announces a data processing method and device for a grouting recorder network terminal, which belongs to the field of grouting technology. The method includes: using multiple sensors to collect data from the grouting site; encapsulating the collected data in Python to obtain a Python file; encrypting and packaging the Python file to obtain a GJY file; encrypting and packaging the Python file to obtain a GJY file; transmitting the GJY file to the grouting recorder network terminal. The solution encapsulates the grouting recorder network terminal in Python and completes the network rapid response terminal of the grouting recorder based on Python, which can provide customers with a better user experience.

[0004] Combined with the above technical solutions, it is found that in the process of data processing of grouting scenes, only a series of analyses are performed through conventional processing procedures. This fixed process often causes negative problems such as inaccuracy in the processed grouting-related data, which ultimately leads to incorrect use of the grouting data in the subsequent use, thereby reducing the data processing efficiency of the grouting. Summary of the invention

[0005] In view of the deficiencies in the prior art, the present invention provides a dynamic grouting monitoring and early warning method and system, which can effectively solve the problems involved in the above-mentioned background technology.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions: The first aspect of the present invention provides a dynamic grouting monitoring and early warning method, including: S1. Obtaining video dynamic data of each grouting operation dynamic video in the grouting video detection management system, obtaining the operation qualification of each grouting operation dynamic video through data analysis, and comparing it with the operation qualification threshold preset in the grouting database to obtain the operation qualification comparison result, and based on the operation qualification comparison result, performing grouting operation detection on each grouting operation dynamic video; S2. Performing grouting operation detection on each grouting operation dynamic video, extracting the detection information of each grouting operation, and performing data processing to obtain the construction risk index of each grouting operation, comparing it with the construction risk threshold preset in the grouting database to obtain the construction risk comparison result, and based on the construction risk comparison result, determining whether to perform a grouting early warning for each grouting operation.

[0007] As a further method, the analysis obtains the operation qualification of each grouting operation dynamic video, and the specific analysis process is:

[0008] The total shooting area of ​​each grouting operation dynamic video is obtained, and the operation qualification of each grouting operation dynamic video is obtained through comprehensive analysis based on the shooting angle of each grouting operation dynamic video, the shadow area of ​​each grouting operation dynamic video, the minimum brightness of each grouting operation dynamic video, the storage rate of each grouting operation dynamic video and the resolution of each grouting operation dynamic video. The specific analysis method is as follows:

[0009]

[0010] In the formula, is the qualification degree of the u-th grouting operation dynamic video, is the shooting angle of the u-th grouting operation dynamic video, The preset shooting reference angle for the grouting database, is the shadow area of ​​the u-th grouting operation dynamic video, is the total shooting area of ​​the u-th grouting operation dynamic video, The influence weight of the shadow area ratio preset for the grouting database, is the storage rate of the u-th grouting operation dynamic video, The preset storage reference rate for the grouting database, is the minimum brightness of the u-th grouting operation dynamic video, Brightness cutoff values ​​preset for the grouting database, is the resolution of the u-th grouting operation dynamic video, is the impact factor of the preset resolution of the grouting database corresponding to the unit value, e is a natural constant, u is the number of each grouting operation dynamic video, , m is the total number of dynamic videos of grouting operations.

[0011] As a further method, based on the qualified operation comparison result, the grouting operation detection is performed on each grouting operation dynamic video, and the specific process is as follows:

[0012] If the operation qualification comparison result is the first operation qualification comparison result, several grouting operation dynamic videos corresponding to the operation qualification less than the operation qualification threshold are recorded as the grouting operation dynamic videos that need to be adjusted, thereby obtaining the operation qualification of each grouting operation dynamic video that needs to be adjusted, and performing difference processing with the operation qualification threshold to obtain the operation qualification deviation value of each grouting operation dynamic video that needs to be adjusted.

[0013] The qualified deviation value of each grouting operation dynamic video that needs to be adjusted is matched with the grouting operation dynamic video adjustment set corresponding to each qualified deviation value interval preset in the grouting database, thereby obtaining the grouting operation dynamic video adjustment set of each grouting operation dynamic video that needs to be adjusted, and finally the video dynamic data of each grouting operation dynamic video that needs to be adjusted is obtained again through the grouting operation dynamic video adjustment set, and the data analysis is performed to obtain the operation qualification of each grouting operation dynamic video that needs to be adjusted, and the operation qualification of each grouting operation dynamic video that needs to be adjusted is greater than or equal to the operation qualification threshold, then each grouting operation dynamic video that needs to be adjusted is re-recorded as each grouting operation dynamic video, thereby performing grouting operation detection on each grouting operation dynamic video.

[0014] If the operation qualification comparison result is the second operation qualification comparison result, the grouting operation detection is directly performed on several grouting operation dynamic videos corresponding to the operation qualification degree being greater than or equal to the operation qualification degree threshold.

[0015] As a further method, grouting warnings are issued for several grouting operations corresponding to construction risk indexes greater than or equal to the construction risk threshold. The specific warnings may be warnings on the number of leakages in the grouting operations or warnings on the mixing time of the grouting operations.

[0016] The second aspect of the present invention provides a system for a dynamic grouting monitoring and early warning method, including: a grouting dynamic analysis module, which is used to obtain video dynamic data of each grouting operation dynamic video in the grouting video detection management system, and obtain the operation qualification of each grouting operation dynamic video through data analysis, and compare it with the operation qualification threshold preset in the grouting database to obtain the operation qualification comparison result; and based on the operation qualification comparison result, perform grouting operation detection on each grouting operation dynamic video.

[0017] The grouting detection and early warning module is used to detect the grouting operations through the dynamic video of each grouting operation, extract the detection information of each grouting operation, and perform data processing to obtain the construction risk index of each grouting operation, compare it with the construction risk threshold preset in the grouting database, obtain the construction risk comparison result, and based on the construction risk comparison result, determine whether to issue a grouting early warning for each grouting operation.

[0018] Compared with the prior art, the embodiments of the present invention have at least the following advantages or beneficial effects:

[0019] (1) The present invention provides a dynamic grouting monitoring and early warning method and system. First, the tamper-proof video dynamic data in the grouting video detection management system is obtained, and the upload qualification degree of the video can be obtained in real time and dynamically, and it is determined whether the video needs to be re-shot, so as to ensure the authenticity and effectiveness of the subsequent grouting operation detection of each grouting operation dynamic video. Thus, by performing grouting operation detection on each grouting operation dynamic video, the detection information of each grouting operation is extracted, and key variables are captured, analyzed and identified to obtain the construction risk index of each grouting operation, so as to timely discover and warn of construction problems arising in the grouting construction process, formulate accurate measures, stably solve the risk problems in the grouting construction process, ensure the construction quality of grouting, and ensure the long-term stability of the structure in the grouting area.

[0020] (2) The present invention obtains the video dynamic data of each grouting operation dynamic video in the grouting video detection management system, and analyzes it to obtain the operation qualification of each grouting operation dynamic video, thereby obtaining the specific shooting qualification status of the grouting video. If there is a problem of unqualified shooting, the cause can be traced back in time to take correct adjustment measures to solve it, thereby providing an accurate data basis for subsequent grouting operation detection of each grouting operation dynamic video.

[0021] (3) The present invention detects the grouting operations through dynamic videos of each grouting operation, extracts the detection information of each grouting operation, and performs data processing to obtain the construction risk index of each grouting operation. It can accurately and comprehensively determine whether there is a risk in the grouting construction. If there is a construction risk, a grouting warning is issued for each grouting operation to ensure that the grouting implemented after the warning reaches the required fullness, so as to ensure the structural safety of the grouting area. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] The present invention is further described using the accompanying drawings, but the embodiments in the accompanying drawings do not constitute any limitation to the present invention. A person skilled in the art can obtain other drawings based on the following drawings without creative work.

[0023] Figure 1 The figure is a schematic flow chart of the method steps of the present invention.

[0024] Figure 2 It is a schematic diagram of system module connection of the present invention. DETAILED DESCRIPTION

[0025] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0026] Reference Figure 1 As shown, the first aspect of the present invention provides a dynamic grouting monitoring and early warning method, including: S1. Acquire the video dynamic data of each grouting operation dynamic video in the grouting video detection management system, obtain the operation qualification of each grouting operation dynamic video through data analysis, compare it with the operation qualification threshold preset in the grouting database, obtain the operation qualification comparison result, and based on the operation qualification comparison result, perform grouting operation detection on each grouting operation dynamic video.

[0027] In the grouting scenario, in the past, when the entire process of video recording of the grouting construction of the steel sleeve of prefabricated buildings was carried out, the grouting video shooting was always random and chaotic, and some grouting videos were fake videos, lacking authenticity and effectiveness. If there was a problem with the grouting, the cause could not be traced through the video. Therefore, this example constructs a grouting video detection and management system, which can efficiently and timely form a set of irrevocable and unchangeable grouting records and grouting videos, which are convenient for query and analysis, making the entire grouting process traceable and ensuring the fullness of the grouting and structural safety.

[0028] Users can register and log in to the grouting video detection management system, enter the video upload interface through user name, mobile phone number, password and other steps, and then perform face recognition on the user to confirm the identity information before actually uploading. If the confirmation is passed, the user can upload the shot video to the video upload interface of the grouting video detection management system. This behavior ensures the validity of the uploaded video. If any construction problems occur, the problem can be traced through the associated users.

[0029] The grouting video detection management system includes multiple modules such as personal center, project list, information feedback, personnel information management, project data management, early warning management and monitoring record report, so as to obtain the multi-dimensional data recorded in this system and conduct data analysis. Finally, the uploaded video can be judged for its upload qualification and the corresponding grouting construction situation in the uploaded video can be judged for its risk. Through the early warning function in this system, the grouting construction can be fed back and adjusted to improve the construction quality of the grouting and ensure the structural safety in the grouting area.

[0030] Specifically, the operation qualification of each grouting operation dynamic video is compared with the operation qualification threshold preset in the grouting database to obtain the operation qualification comparison result. The specific comparison process is:

[0031] If the job qualification is less than the job qualification threshold, the job qualification comparison result is defined as the first job qualification comparison result, where the job qualification threshold refers to the minimum qualification value of the video shot in the scenario of uploading the grouting video; if the job qualification is less than the job qualification threshold, it indicates that the qualification level of the uploaded result of a certain video is lower than the minimum qualification value.

[0032] If the job qualification is greater than or equal to the job qualification threshold, it means that the upload result qualification of a certain video is higher than the minimum qualified value and there is no need to upload the video again. The job qualification comparison result is defined as the second job qualification comparison result.

[0033] Furthermore, based on the qualified operation comparison result, the grouting operation detection is performed on each grouting operation dynamic video, and the specific process is as follows:

[0034] If the operation qualification comparison result is the first operation qualification comparison result, then several grouting operation dynamic videos corresponding to the operation qualification less than the operation qualification threshold are recorded as the grouting operation dynamic videos that need to be adjusted, thereby obtaining the operation qualification of each grouting operation dynamic video that needs to be adjusted, and performing difference processing with the operation qualification threshold, that is, subtracting the operation qualification threshold from the operation qualification, to obtain the operation qualification deviation value of each grouting operation dynamic video that needs to be adjusted.

[0035] The qualified operation deviation value of each grouting operation dynamic video that needs to be adjusted is matched with the grouting operation dynamic video adjustment set corresponding to each qualified operation deviation value interval preset in the grouting database, thereby obtaining the grouting operation dynamic video adjustment set of each grouting operation dynamic video that needs to be adjusted. The specific matching process is: if the qualified operation deviation value of a grouting operation dynamic video that needs to be adjusted is 3, wherein the qualified operation deviation value interval preset in the grouting database is [3, 5], and the corresponding grouting operation dynamic video adjustment set is a shooting angle of 45 degrees, a brightness of 450 lux, and a shadow area of ​​0, then the grouting operation dynamic video adjustment set to which the qualified operation deviation value is 3 belongs is a shooting angle of 45 degrees, a brightness of 450 lux, and a shadow area of ​​0. Therefore, this grouting operation dynamic video adjustment set is transmitted to the shooting personnel corresponding to the grouting operation dynamic video that needs to be adjusted through text messages, emails, etc. Finally, when the shooting personnel shoots again, the video is shot again according to the shooting angle of 45 degrees, the brightness of 450 lux, and the shadow area of ​​0.

[0036] Finally, the video dynamic data of each grouting operation dynamic video that needs to be adjusted is obtained again through the grouting operation dynamic video adjustment set, and data analysis is performed to obtain the operation qualification of each grouting operation dynamic video that needs to be adjusted, and the operation qualification of each grouting operation dynamic video that needs to be adjusted is greater than or equal to the operation qualification threshold. Since there are multiple grouting operation dynamic videos that need to be adjusted with different operation qualification deviation values, the corresponding grouting operation dynamic video adjustment sets will also have obvious differences. Then, the video dynamic data of each grouting operation dynamic video that needs to be adjusted obtained again will have different parameter values. However, since the above-mentioned matching process is a one-to-one correspondence, that is, the operation qualification deviation value of a grouting operation dynamic video that needs to be adjusted corresponds to the grouting operation dynamic video adjustment set. Therefore, the matched grouting operation dynamic video adjustment set can ensure that its operation qualification degree is significantly increased, and it can also ensure that the dynamic shooting after this adjustment can make the grouting process reach an accurate and qualified state. Therefore, only one adjustment is needed to make the operation qualification of each grouting operation dynamic video that needs to be adjusted greater than or equal to the operation qualification threshold.

[0037] Then each grouting operation dynamic video that needs to be adjusted is re-recorded as each grouting operation dynamic video, thereby performing grouting operation detection on each grouting operation dynamic video.

[0038] If the operation qualification comparison result is the second operation qualification comparison result, the grouting operation detection is directly performed on several grouting operation dynamic videos corresponding to the operation qualification degree being greater than or equal to the operation qualification degree threshold.

[0039] From the above description, it can be known that the number of dynamic videos for the final grouting operation detection is still equal to the number of dynamic videos corresponding to the original determination of the operation qualification.

[0040] Specifically, the video dynamic data of each grouting operation dynamic video includes the shooting angle of each grouting operation dynamic video, the shadow area of ​​each grouting operation dynamic video, the minimum brightness of each grouting operation dynamic video, the storage rate of each grouting operation dynamic video and the resolution of each grouting operation dynamic video.

[0041] The video dynamic data of the above-mentioned grouting operation dynamic videos can be obtained through the monitoring record report in the grouting video detection management system. The monitoring record report is a report generated for intelligent recognition of the uploaded video, which includes but is not limited to shooting angle, shadow area, minimum brightness, storage rate and resolution.

[0042] Since grouting is usually carried out at multiple locations simultaneously during the actual grouting process, the same batch of grouting scenes will include multiple uploaded videos.

[0043] Furthermore, the analysis obtains the qualification of each grouting operation dynamic video, and the specific analysis process is as follows:

[0044] The total shooting area of ​​each grouting operation dynamic video is obtained in the same way as the above video dynamic data. According to the shooting angle of each grouting operation dynamic video, the shadow area of ​​each grouting operation dynamic video, the minimum brightness of each grouting operation dynamic video, the storage rate of each grouting operation dynamic video and the resolution of each grouting operation dynamic video, the operation qualification of each grouting operation dynamic video is obtained through comprehensive analysis. The specific analysis method is as follows:

[0045]

[0046] In the formula, is the shooting angle of the u-th grouting operation dynamic video, which means the minimum angle between the horizontal plane relative to the grouting starting point and the shooting horizontal plane when shooting the grouting.

[0047] The shooting reference angle preset for the grouting database represents the most suitable angle for shooting grouting.

[0048] is the shadow area of ​​the u-th grouting operation dynamic video, indicating the shadow area caused by some obstacles blocking the shooting during the grouting process.

[0049] is the total shooting area of ​​the u-th grouting operation dynamic video, which means the total area captured as a whole during the grouting process, including the shadow area.

[0050] The influence weight of the shadow area ratio preset in the grouting database represents the numerical value of the influence degree of the shadow area ratio on the job qualification. When used, the influence weight of the shadow area ratio can be directly obtained from the grouting database, and the corresponding relationship can be a preset mapping relationship. For example, the shadow area ratio and the influence weight of the shadow area ratio preset in the grouting database form a mapping set, and the real-time shadow area ratio is input into the mapping set to obtain the influence weight of the shadow area ratio. The mapping relationship can be one-to-one or many-to-one. In this example, its value range is [0, 1].

[0051] is the storage rate of the u-th grouting operation dynamic video, in megabytes per hour, which represents the total capacity of the video shot per unit time.

[0052] The storage reference rate preset for the grouting database indicates the storage speed of the best shots during the grouting shooting process.

[0053] is the minimum brightness of the u-th grouting operation dynamic video, indicating the overall minimum brightness during the grouting shooting process.

[0054] The brightness limit value preset for the grouting database indicates the minimum brightness value in the video during the grouting shooting process.

[0055] is the resolution of the u-th grouting operation dynamic video, indicating the clarity of the video captured during the grouting process.

[0056] The influencing factor of the unit value of the resolution preset in the grouting database represents the numerical value of the influence of the unit value of the resolution on the qualification of the operation. When used, the influencing factor of the unit value of the resolution corresponding to the resolution can be directly obtained from the grouting database, and the corresponding relationship can be a preset mapping relationship. For example, the resolution and the influencing factor of the unit value of the resolution preset in the grouting database form a mapping set, and the real-time resolution is input into the mapping set to obtain the influencing factor of the unit value of the resolution corresponding to the resolution. The mapping relationship can be one-to-one or many-to-one. In this example, its value range is [0, 1].

[0057] e is a natural constant, u is the number of each grouting operation dynamic video, , m is the total number of dynamic videos of grouting operations.

[0058] is the qualification degree of the u-th grouting operation dynamic video. In this example, if the shooting angle is not good when shooting the grouting video (for example, too vertical or too tilted, deviating from the reference angle of shooting), it may cause the shadow area to increase. When the shadow area ratio is large, the brightness in the video will usually decrease. Because the brightness of the shadow part is low, this will affect the minimum brightness of the video, making the video look darker as a whole, which is not conducive to the clear presentation of details. If the brightness is low, the quality of the video may not be good even if the resolution is very high. Therefore, if the resolution is very high but the brightness is low, more storage space will be required in the end, so that the video contains more pixels and details. However, too high a storage rate may increase the pressure on the storage device, and ultimately affect the shooting quality of the video. In summary, if you want to improve the qualification degree of the video, you need to comprehensively analyze its multi-dimensional data to comprehensively improve its shooting quality and ultimately ensure that the video reaches a better qualified quality state.

[0059] S2. Detect the grouting operations by detecting the dynamic videos of each grouting operation, extract the detection information of each grouting operation, and obtain the construction risk index of each grouting operation through data processing. Compare it with the construction risk threshold preset in the grouting database to obtain the construction risk comparison result, and based on the construction risk comparison result, determine whether to issue a grouting warning for each grouting operation.

[0060] Specifically, the construction risk index of each grouting operation is compared with the construction risk threshold preset in the grouting database to obtain a construction risk comparison result. The specific comparison process is:

[0061] If the construction risk index is less than the construction risk threshold, the construction risk comparison result is defined as the first construction risk comparison result; the construction risk threshold represents the minimum risk value of the construction during the grouting construction; if the construction risk index is less than the construction risk threshold, it indicates that the construction risk of a grouting operation is low and lower than the minimum risk.

[0062] If the construction risk index is greater than or equal to the construction risk threshold, it means that the construction risk of a grouting operation is relatively high and an early warning is required. The construction risk comparison result is defined as the second construction risk comparison result.

[0063] Furthermore, based on the construction risk comparison result, it is determined whether to perform grouting warning for each grouting operation. The specific warning process is as follows:

[0064] If the construction risk comparison result is the first construction risk comparison result, there is no need to issue grouting warnings for several grouting operations corresponding to construction risk indexes less than the construction risk threshold.

[0065] If the construction risk comparison result is the second construction risk comparison result, it is necessary to issue grouting warnings for several grouting operations corresponding to the construction risk index being greater than or equal to the construction risk threshold.

[0066] Specifically, the grouting warning is performed on a number of grouting operations corresponding to a construction risk index greater than or equal to a construction risk threshold. The specific warning may be a warning on the number of leakages in the grouting operation, or a warning on the mixing time of the grouting operation.

[0067] It should be explained that since the construction risk index is greater than or equal to the construction risk threshold, it indicates that in the process of analyzing the construction risk, some parameters deviate from the reference value or some parameters are large, which greatly increases the construction risk. Therefore, if the construction risk index of a grouting operation is greater than or equal to the construction risk threshold, it is necessary to extract the construction risk index of the grouting operation and perform difference processing with the construction risk threshold (i.e., subtract the construction risk threshold from the construction risk index) to obtain the construction risk deviation value of the grouting operation, so as to match it with the early warning data set corresponding to each construction risk deviation value interval preset in the grouting database, thereby obtaining the early warning data set of the grouting operation; for example, the construction risk deviation value of a grouting operation is 1, wherein the construction risk deviation value interval preset in the grouting database is [0, 3], and the corresponding early warning data set includes the construction material temperature 26 Celsius, slurry temperature 24 degrees Celsius, stirring time 5 minutes, fluidity detection value 300 mm and number of leakages 0, it means that the corresponding early warning data set of the grouting operation includes construction material temperature 26 degrees Celsius, slurry temperature 24 degrees Celsius, stirring time 5 minutes, fluidity detection value 300 mm and number of leakages 0; but if the actual detected construction material temperature is 26 degrees Celsius, slurry temperature 24 degrees Celsius, stirring time 3 minutes, fluidity detection value 300 mm and number of leakages 5, it means that the stirring time and number of leakages need to be warned. Therefore, the grouting video detection management system sends the parameters that need to be adjusted for the grouting operation to the construction personnel corresponding to the grouting operation through SMS, email, etc., reminding them of the risks of construction. As a result, the construction personnel adjust the stirring time to 5 minutes and the number of leakages to 0 to perform the construction operation.

[0068] Furthermore, the specific processing process of the construction risk index of each grouting operation is as follows:

[0069] The detection information of each grouting operation specifically includes the average temperature of the construction materials, the average temperature of the construction environment, the average temperature of the slurry, the stirring time, the fluidity detection value and the water-to-material ratio during the grouting process of each grouting operation.

[0070] Obtain the construction adaptation data of each grouting operation, including the construction material adaptation temperature, construction environment adaptation temperature, slurry adaptation temperature, stirring adaptation time, fluidity detection adaptation value and water-to-material ratio adaptation value of each grouting operation.

[0071] It should be explained that the above detection information represents the data detected after the grouting is completed, and the construction adaptation data is the optimal adaptation data required for grouting before the actual grouting. At the same time, both are stored in the monitoring record report in the grouting video detection management system, so the above information can be obtained by querying the monitoring record report.

[0072] Therefore, the average temperature of construction materials, the average temperature of construction environment, the average temperature of slurry, stirring time, fluidity detection value and water-to-material ratio of each grouting operation during the grouting process are respectively processed with the construction material adaptation temperature, construction environment adaptation temperature, slurry adaptation temperature, stirring adaptation time, fluidity detection adaptation value and water-to-material ratio adaptation value of each grouting operation, and the construction deviation index of each grouting operation during the grouting process is obtained through data analysis. The specific analysis process is as follows:

[0073] According to the average temperature of construction materials, average temperature of construction environment, average temperature of slurry, stirring time, fluidity detection value and water-to-material ratio of each grouting operation during the grouting process, corresponding difference processing is performed with the construction material adaptation temperature, construction environment adaptation temperature, slurry adaptation temperature, stirring adaptation time, fluidity detection adaptation value and water-to-material ratio adaptation value of each grouting operation respectively, so that the construction material temperature deviation value, construction environment temperature deviation value, slurry temperature deviation value, stirring deviation time, fluidity detection deviation value and water-to-material ratio deviation value of each grouting operation during the grouting process can be obtained, and then they are multiplied with the influence factors of the unit values ​​of the construction material temperature deviation value preset in the grouting database, the influence factors of the unit values ​​of the construction environment temperature deviation value, the influence factors of the unit values ​​of the slurry temperature deviation value, the influence factors of the unit values ​​of the stirring deviation time, the influence factors of the unit values ​​of the fluidity detection deviation value and the influence factors of the unit values ​​of the water-to-material ratio deviation value, respectively, and the results are accumulated to obtain the construction deviation index of each grouting operation during the grouting process.

[0074] The inspection data of each grouting operation is obtained, including the number of leakages, the number of grouting port inspections, and the number of grouting port inspections of each grouting operation. The acquisition method is the same as the above-mentioned detection information and construction adaptation data.

[0075] The number of grouting port inspections for each grouting operation is matched with the reference number of grouting ports corresponding to the inspection number interval for each grouting port preset in the grouting database, thereby obtaining the reference number of grouting ports for each grouting operation. For example, if the number of grouting port inspections for a certain grouting operation is 2, then since the reference number of grouting ports corresponding to the inspection number interval [2, 5] preset in the grouting database is 10, it means that the reference number of grouting ports for the grouting operation is 10.

[0076] The number of un-grouting outlets of each grouting operation is subtracted from the number of inspected outlets of each grouting operation to obtain the number of un-grouting outlets of each grouting operation; if the number of inspected outlets of the grouting operation is 9, then the above data shows that the number of un-grouting outlets of the grouting operation is 1.

[0077] The qualification of each grouting operation is obtained. Since a video will be uploaded for the grouting operation, the number of dynamic videos of the grouting operation is equal to the number of grouting operations, and they correspond one to one. Therefore, the qualification of each grouting operation can be obtained according to the qualification of the dynamic videos of each grouting operation. The construction deviation index of each grouting operation during the grouting process, the number of leakages of each grouting operation, and the number of undischarged openings of each grouting operation are comprehensively considered, and the construction risk index of each grouting operation is obtained through data processing. The specific processing method is as follows:

[0078]

[0079] In the formula, is the qualification degree of the Rth grouting operation, which is obtained by comprehensive analysis of shooting angle, shadow area ratio, minimum brightness, storage rate and resolution.

[0080] It is the construction deviation index of the Rth grouting operation during the grouting process, which is obtained by comprehensive analysis of the average temperature of construction materials, the average temperature of the construction environment, the average temperature of the slurry, the stirring time, the fluidity test value and the water-to-material ratio.

[0081] is the number of leakages in the Rth grouting operation, indicating the number of leakages detected after a grouting operation is completed.

[0082] is the number of un-discharged outlets in the Rth grouting operation, indicating the number of outlets that did not work normally during a grouting operation.

[0083] The weight factor corresponding to the job qualification preset in the grouting database represents the numerical value of the influence degree of the job qualification on the construction risk index. When used, the weight factor corresponding to the job qualification can be directly obtained from the grouting database, and the corresponding relationship can be a preset mapping relationship. For example, the job qualification and the weight factor corresponding to the job qualification preset in the grouting database form a mapping set, and the real-time job qualification is input into the mapping set to obtain the weight factor corresponding to the job qualification. The mapping relationship can be one-to-one or many-to-one. In this example, its value range is [0, 1].

[0084] The weight factor corresponding to the construction deviation index preset in the grouting database represents the numerical value of the influence degree of the construction deviation index on the construction risk index. When used, the weight factor corresponding to the construction deviation index can be directly obtained from the grouting database, and the corresponding relationship can be a preset mapping relationship. For example, the construction deviation index and the weight factor corresponding to the construction deviation index preset in the grouting database form a mapping set, and the real-time construction deviation index is input into the mapping set to obtain the weight factor corresponding to the construction deviation index. The mapping relationship can be one-to-one or many-to-one. In this example, its value range is [0, 1].

[0085] The influencing factor of the unit value corresponding to the leakage quantity preset in the grouting database represents the numerical value of the influence of the unit value corresponding to the leakage quantity on the construction risk index. When used, the influencing factor of the unit value corresponding to the leakage quantity can be directly obtained from the grouting database, and the corresponding relationship can be a preset mapping relationship. For example, the leakage quantity and the influencing factor of the unit value corresponding to the leakage quantity preset in the grouting database form a mapping set, and the real-time leakage quantity is input into the mapping set to obtain the influencing factor of the unit value corresponding to the leakage quantity. The mapping relationship can be one-to-one or many-to-one. In this example, its value range is [0, 1].

[0086] The influencing factor of the unit value corresponding to the number of un-grouted openings preset in the grouting database represents the numerical value of the influence of the unit value corresponding to the number of un-grouted openings on the construction risk index. When used, the influencing factor of the unit value corresponding to the number of un-grouted openings can be directly obtained from the grouting database, and the corresponding relationship can be a preset mapping relationship. For example, the number of un-grouted openings and the influencing factors of the unit value corresponding to the number of un-grouted openings preset in the grouting database form a mapping set, and the real-time number of un-grouted openings is input into the mapping set to obtain the influencing factor of the unit value corresponding to the number of un-grouted openings. The mapping relationship can be one-to-one or many-to-one. In this example, its value range is [0, 1].

[0087] e is a natural constant, R is the number of each grouting operation, , E is the total number of grouting operations.

[0088] is the construction risk index of the Rth grouting operation. In this example, if the uploaded video clarity is not high (i.e., factors such as a large shadow area ratio and low brightness in the job qualification), then the job qualification will be reduced, which will lead to the analysis of unclear videos, making the multidimensional parameters truly extracted from the video deviate further from the adapted values, thus leading to an increase in the construction deviation index. At the same time, a construction process with a large deviation will often lead to more construction problems, including leakage and un-slurry outlets, which will directly lead to an increase in the number of leakages and un-slurry outlets, and the construction risk reflected in the end will also be greatly enhanced. In summary, it is necessary not only to clearly and accurately capture the grouting process, but also to ensure the high quality and efficiency of the grouting operation to improve the structural safety of the grouting area.

[0089] Reference Figure 2 As shown, the second aspect of the present invention provides a system for a dynamic grouting monitoring and early warning method, including: a grouting dynamic analysis module and a grouting detection and early warning module.

[0090] The second aspect of the present invention provides a system for a dynamic grouting monitoring and early warning method, which also includes a grouting database for storing preset values ​​such as operation qualification threshold, construction risk threshold, shooting reference angle, influence weight of shadow area ratio, storage reference rate, brightness boundary value, influence factor of unit value corresponding to resolution, dynamic video adjustment set of grouting operation corresponding to each operation qualification deviation value interval, reference number of grouting outlets corresponding to each grouting outlet inspection number interval, etc.

[0091] The grouting dynamic analysis module is connected to the grouting detection and early warning module, and both the grouting dynamic analysis module and the grouting detection and early warning module are connected to the grouting database.

[0092] The grouting dynamic analysis module is used to obtain the video dynamic data of each grouting operation dynamic video in the grouting video detection management system, obtain the operation qualification of each grouting operation dynamic video through data analysis, compare it with the operation qualification threshold preset in the grouting database, obtain the operation qualification comparison result, and based on the operation qualification comparison result, perform grouting operation detection on each grouting operation dynamic video.

[0093] The grouting detection and early warning module is used to detect grouting operations by performing dynamic videos of each grouting operation, extract detection information of each grouting operation, and perform data processing to obtain the construction risk index of each grouting operation, compare it with the construction risk threshold preset in the grouting database, obtain the construction risk comparison result, and based on the construction risk comparison result, determine whether to issue a grouting early warning for each grouting operation.

[0094] The above contents are merely examples and explanations of the structure of the present invention. The technicians in this technical field may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the structure of the invention or exceed the scope defined by the present invention, they should all fall within the protection scope of the present invention.

Claims

1. A dynamic grouting monitoring and early warning method, characterized in that: include: S1. Obtain the video dynamic data of each grouting operation dynamic video in the grouting video detection management system, obtain the operation qualification of each grouting operation dynamic video through data analysis, compare it with the operation qualification threshold preset in the grouting database, obtain the operation qualification comparison result, and perform grouting operation detection on each grouting operation dynamic video based on the operation qualification comparison result; S2. Detect the grouting operations by detecting the dynamic videos of each grouting operation, extract the detection information of each grouting operation, and obtain the construction risk index of each grouting operation through data processing. Compare it with the construction risk threshold preset in the grouting database to obtain the construction risk comparison result, and based on the construction risk comparison result, determine whether to issue a grouting warning for each grouting operation.

2. A dynamic grouting monitoring and early warning method according to claim 1, characterized in that: The video dynamic data of each grouting operation dynamic video specifically includes the shooting angle of each grouting operation dynamic video, the shadow area of ​​each grouting operation dynamic video, the minimum brightness of each grouting operation dynamic video, the storage rate of each grouting operation dynamic video and the resolution of each grouting operation dynamic video.

3. A dynamic grouting monitoring and early warning method according to claim 2, characterized in that: The analysis results in the qualification of each grouting operation dynamic video. The specific analysis process is as follows: The total shooting area of ​​each grouting operation dynamic video is obtained, and the operation qualification of each grouting operation dynamic video is obtained through comprehensive analysis based on the shooting angle of each grouting operation dynamic video, the shadow area of ​​each grouting operation dynamic video, the minimum brightness of each grouting operation dynamic video, the storage rate of each grouting operation dynamic video and the resolution of each grouting operation dynamic video. The specific analysis method is as follows: ， In the formula, is the qualification degree of the u-th grouting operation dynamic video, is the shooting angle of the u-th grouting operation dynamic video, The preset shooting reference angle for the grouting database, is the shadow area of ​​the u-th grouting operation dynamic video, is the total shooting area of ​​the u-th grouting operation dynamic video, The influence weight of the shadow area ratio preset for the grouting database, is the storage rate of the u-th grouting operation dynamic video, The preset storage reference rate for the grouting database, is the minimum brightness of the u-th grouting operation dynamic video, Brightness cutoff values ​​preset for the grouting database, is the resolution of the u-th grouting operation dynamic video, is the impact factor of the preset resolution of the grouting database corresponding to the unit value, e is a natural constant, u is the number of each grouting operation dynamic video, , m is the total number of dynamic videos of grouting operations.

4. A dynamic grouting monitoring and early warning method according to claim 1, characterized in that: The operation qualification of each grouting operation dynamic video is compared with the operation qualification threshold preset in the grouting database to obtain the operation qualification comparison result. The specific comparison process is as follows: If the job qualification is less than the job qualification threshold, the job qualification comparison result is defined as the first job qualification comparison result; If the job qualification is greater than or equal to the job qualification threshold, the job qualification comparison result is defined as a second job qualification comparison result.

5. A dynamic grouting monitoring and early warning method according to claim 4, characterized in that: Based on the qualified operation comparison result, the grouting operation detection is performed on each grouting operation dynamic video, and the specific process is as follows: If the operation qualification comparison result is the first operation qualification comparison result, a number of grouting operation dynamic videos corresponding to the operation qualification degree less than the operation qualification degree threshold value are recorded as the grouting operation dynamic videos that need to be adjusted, thereby obtaining the operation qualification degree of each grouting operation dynamic video that needs to be adjusted, and performing difference processing with the operation qualification degree threshold value respectively, to obtain the operation qualification deviation value of each grouting operation dynamic video that needs to be adjusted; Match the qualified deviation value of each grouting operation dynamic video that needs to be adjusted with the grouting operation dynamic video adjustment set corresponding to each qualified deviation value interval preset in the grouting database, thereby obtaining the grouting operation dynamic video adjustment set of each grouting operation dynamic video that needs to be adjusted, and finally obtain the video dynamic data of each grouting operation dynamic video that needs to be adjusted again through the grouting operation dynamic video adjustment set, and perform data analysis to obtain the qualified degree of each grouting operation dynamic video that needs to be adjusted, and if the qualified degree of each grouting operation dynamic video that needs to be adjusted is greater than or equal to the qualified degree threshold, then each grouting operation dynamic video that needs to be adjusted is re-recorded as each grouting operation dynamic video, thereby performing grouting operation detection on each grouting operation dynamic video; If the operation qualification comparison result is the second operation qualification comparison result, the grouting operation detection is directly performed on several grouting operation dynamic videos corresponding to the operation qualification degree being greater than or equal to the operation qualification degree threshold.

6. A dynamic grouting monitoring and early warning method according to claim 1, characterized in that: The specific processing process of the construction risk index of each grouting operation is as follows: The detection information of each grouting operation specifically includes the average temperature of the construction materials, the average temperature of the construction environment, the average temperature of the slurry, the stirring time, the fluidity detection value and the water-to-material ratio during the grouting process of each grouting operation; Obtain construction adaptation data for each grouting operation, including construction material adaptation temperature, construction environment adaptation temperature, slurry adaptation temperature, stirring adaptation time, fluidity detection adaptation value, and water-to-material ratio adaptation value; Therefore, the average temperature of construction materials, the average temperature of construction environment, the average temperature of slurry, stirring time, fluidity detection value and water-to-material ratio of each grouting operation during the grouting process are respectively processed with the construction material adaptation temperature, construction environment adaptation temperature, slurry adaptation temperature, stirring adaptation time, fluidity detection adaptation value and water-to-material ratio adaptation value of each grouting operation, and the construction deviation index of each grouting operation during the grouting process is obtained through data analysis; Obtain inspection data for each grouting operation, including the number of leaks, the number of grouting port inspections, and the number of grouting port inspections for each grouting operation; The number of grouting port inspections of each grouting operation is matched with the reference number of grouting ports corresponding to the inspection number interval of each grouting port preset in the grouting database, thereby obtaining the reference number of grouting ports of each grouting operation, and performing difference processing with the inspection number of grouting ports of each grouting operation, thereby obtaining the number of un-grouting ports of each grouting operation; The qualification of each grouting operation is obtained, and the construction deviation index of each grouting operation during the grouting process, the number of leakages of each grouting operation, and the number of un-slurry outlets of each grouting operation are comprehensively considered. The construction risk index of each grouting operation is obtained through data processing.

7. A dynamic grouting monitoring and early warning method according to claim 1, characterized in that: The construction risk index of each grouting operation is compared with the construction risk threshold preset in the grouting database to obtain a construction risk comparison result. The specific comparison process is as follows: If the construction risk index is less than the construction risk threshold, the construction risk comparison result is defined as the first construction risk comparison result; If the construction risk index is greater than or equal to the construction risk threshold, the construction risk comparison result is defined as a second construction risk comparison result.

8. A dynamic grouting monitoring and early warning method according to claim 7, characterized in that: Based on the construction risk comparison result, it is determined whether to issue a grouting warning for each grouting operation. The specific warning process is as follows: If the construction risk comparison result is the first construction risk comparison result, there is no need to issue grouting warning for several grouting operations corresponding to the construction risk index being less than the construction risk threshold; If the construction risk comparison result is the second construction risk comparison result, it is necessary to issue grouting warnings for several grouting operations corresponding to the construction risk index being greater than or equal to the construction risk threshold.

9. A dynamic grouting monitoring and early warning method according to claim 8, characterized in that: The grouting warning is performed on a number of grouting operations corresponding to a construction risk index greater than or equal to a construction risk threshold. The specific warning may be a warning on the number of leakages in the grouting operation or a warning on the mixing time of the grouting operation.

10. A system using a dynamic grouting monitoring and early warning method as claimed in any one of claims 1 to 9, characterized in that: include: The grouting dynamic analysis module is used to obtain the video dynamic data of each grouting operation dynamic video in the grouting video detection management system, obtain the operation qualification of each grouting operation dynamic video through data analysis, compare it with the operation qualification threshold preset in the grouting database, obtain the operation qualification comparison result, and perform grouting operation detection on each grouting operation dynamic video based on the operation qualification comparison result; The grouting detection and early warning module is used to detect the grouting operations through the dynamic video of each grouting operation, extract the detection information of each grouting operation, and perform data processing to obtain the construction risk index of each grouting operation, compare it with the construction risk threshold preset in the grouting database, obtain the construction risk comparison result, and based on the construction risk comparison result, determine whether to issue a grouting early warning for each grouting operation.

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