Building construction progress supervision method and system

Abstract

The invention discloses a building construction progress supervision method and system, and the method comprises the steps: obtaining a first predicted maintenance duration corresponding to a to-be-maintained target object under the condition that the existence of the to-be-maintained target object is detected; wherein the first predicted maintenance duration is obtained by performing prediction processing according to the fault state of the to-be-maintained target object; when the first predicted maintenance duration is greater than or equal to a first duration threshold, outputting first replacement prompt information; when the first predicted maintenance duration is smaller than a first duration threshold value, the current actual maintenance duration of the to-be-maintained target object is obtained; and when the actual maintenance duration is within the progress early warning duration range, outputting a first progress early warning signal to the corresponding user terminal equipment. By using the method, the negative influence on the construction progress caused by unstable maintenance time can be reduced, the processing efficiency of the maintenance work is improved, and the smooth progress of the construction progress is ensured. The scheme can be widely applied to the field of building construction monitoring.

Description

Technical Field

[0001] The present invention relates to supervision technology, and in particular to a supervision method and system for building construction progress. Background Art

[0002] In order to ensure that the construction is completed within the specified time limit, an effective monitoring plan for the construction progress is essential. Generally speaking, the effective supervision plan mainly includes the following aspects: 1. Formulate a detailed construction plan to clarify the construction tasks, time nodes and resource requirements of each stage, providing an important basis for progress monitoring; 2. Establish a progress monitoring team and adopt monitoring technology to track the construction progress in real time and maintain close communication with on-site management personnel; 3. Regular on-site inspections to understand the actual construction situation, compare and analyze it with the plan, and determine whether resources and progress adjustments are needed in the future based on the analysis results; 4. Use progress management tools such as Gantt charts and milestone charts to intuitively display the construction progress, so as to facilitate follow-up, find problems and take measures. In the process of studying how to more effectively supervise the construction progress, it was found that when the equipment / system on the construction site fails and needs to be repaired, the maintenance time is unstable and difficult to predict, and the longer the maintenance time, the more difficult it is to complete the construction tasks in the original plan on time, and even cause the problem of delayed delivery of the entire project. It can be seen that how to reduce the negative impact on construction progress caused by unstable maintenance time is one of the urgent issues to be solved. Summary of the invention

[0003] In view of this, the present application aims to solve at least one of the technical problems existing in the prior art. To this end, the present application proposes a construction progress supervision method and system, which can effectively reduce the negative impact of maintenance time on the construction progress and ensure the smooth progress of the construction progress.

[0004] In a first aspect, an embodiment of the present application provides a method for supervising construction progress, the method comprising the following steps:

[0005] When a target object to be repaired is detected, a first estimated repair time corresponding to the target object to be repaired is obtained; wherein the first estimated repair time is obtained after predicting the fault state of the target object to be repaired;

[0006] When the first estimated maintenance time is greater than or equal to a first time threshold, first replacement prompt information is output, where the first replacement prompt information is used to prompt that the target object to be repaired should be replaced;

[0007] When the first estimated maintenance time is less than a first time threshold, obtaining the current actual maintenance time of the target object to be repaired;

[0008] When the actual maintenance duration is within the progress warning duration range, a first progress warning signal is output to the corresponding user terminal device.

[0009] In some embodiments, the step of obtaining a first estimated maintenance time corresponding to the target object to be repaired specifically includes:

[0010] Acquire fault status information of the target object to be repaired, wherein the fault status information at least includes the fault location and the fault severity;

[0011] After the fault status information is input into the trained deep learning model for processing, the corresponding first estimated maintenance time is obtained.

[0012] In some embodiments, the method further includes the step of obtaining a first duration threshold, wherein the step of obtaining the first duration threshold specifically includes:

[0013] Get the planned progress and current progress of the current construction task node;

[0014] Calculating the time difference between the planned progress and the current progress;

[0015] The first duration threshold is determined according to the time difference.

[0016] In some embodiments, the step of determining the first duration threshold according to the time difference specifically includes:

[0017] Get the initial duration threshold;

[0018] Determine the adjustment factor based on the time difference;

[0019] A first duration threshold is determined according to the adjustment coefficient and the initial duration threshold.

[0020] In some embodiments, the system includes: the step of obtaining the current actual maintenance time of the target object to be repaired, which specifically includes:

[0021] The time when the target object to be repaired is detected is regarded as the start time of repair;

[0022] Get the current time from the clock system;

[0023] According to the maintenance start time and the current time, the actual maintenance time of the target object to be maintained is determined.

[0024] In some embodiments, the method further comprises the following steps:

[0025] When the first estimated maintenance time is less than a first time threshold, obtaining a maintenance strategy demonstration video corresponding to the target object to be maintained, wherein the maintenance strategy demonstration video includes a plurality of demonstration sub-videos of maintenance execution steps and a trigger button for triggering the demonstration sub-video of the maintenance execution step to be opened and played;

[0026] According to the latest click time of the trigger button, estimating the maintenance time of the target object to be maintained;

[0027] Determine a second estimated maintenance time corresponding to the target object to be repaired according to the maintenance time;

[0028] When the second estimated maintenance time is within the progress warning time range, a second progress warning signal is output to the corresponding user terminal device.

[0029] In some embodiments, the method further comprises the following steps:

[0030] When the second estimated maintenance time is greater than or equal to the first time threshold, first replacement prompt information is output, where the first replacement prompt information is used to prompt that the target object to be repaired should be replaced.

[0031] In some embodiments, the method further comprises the following steps:

[0032] Get the current status of the target object to be repaired;

[0033] When it is detected that the current state of the target object to be repaired is still a fault state, the process returns to the step of obtaining the first estimated repair time corresponding to the target object to be repaired.

[0034] In a second aspect, an embodiment of the present application provides a construction progress monitoring system, the system comprising:

[0035] A first processing system, comprising at least one processor, wherein the processor is used to execute the steps of implementing the above-mentioned method for supervising the progress of construction;

[0036] A plurality of user terminal devices are used to receive the signal from the first processing system and display it.

[0037] In a third aspect, an embodiment of the present application provides a construction progress monitoring system, the system comprising:

[0038] A first acquisition processing unit is used to acquire a first estimated maintenance time corresponding to the target object to be repaired when the target object to be repaired is detected; wherein the first estimated maintenance time is obtained after predicting the fault state of the target object to be repaired;

[0039] A first judgment processing unit, configured to output first replacement prompt information when the first estimated maintenance time is greater than or equal to a first time threshold, wherein the first replacement prompt information is used to prompt the target object to be repaired to be replaced;

[0040] A second judgment processing unit, configured to obtain a current actual maintenance time of the target object to be repaired when the first estimated maintenance time is less than a first time threshold;

[0041] The third judgment processing unit is used to output a first progress warning signal to the corresponding user terminal device when the actual maintenance time is within the progress warning time range.

[0042] The present application can achieve the following technical effects: when the present application detects the existence of a target object to be repaired, the first estimated maintenance time corresponding to the target object to be repaired is used to quickly determine whether to repair it or directly replace it. Then, when it is determined that maintenance is required, its actual maintenance time is tracked in real time and it is determined whether it is within the progress warning time range. If so, the first progress warning signal is output to the corresponding user terminal device to enable the corresponding management personnel to allocate and arrange appropriate resources as soon as possible to improve the maintenance efficiency of this target object to be repaired. It can be seen that by predicting the maintenance time and real-time monitoring and tracking, not only can the negative impact on the construction progress caused by the instability of the maintenance time be reduced, but also the processing efficiency of the maintenance work can be further improved, thereby ensuring the smooth progress of the construction progress. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments.

[0044] Figure 1 A schematic diagram of the steps of a construction progress monitoring method provided in an embodiment of the present application;

[0045] Figure 2 A schematic diagram of the structure of a first embodiment of a construction progress monitoring system provided by an embodiment of the present application;

[0046] Figure 3 A schematic structural diagram of a second embodiment of a construction progress monitoring system provided in an embodiment of the present application. DETAILED DESCRIPTION

[0047] In order to make the purpose, technical solution and advantages of the present application clearer, the technical solution of the present application will be clearly and completely described through the implementation method with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present application.

[0048] There are many construction equipment and systems in the construction site. Due to the long construction period, it is difficult to avoid the failure of construction equipment and systems. However, the maintenance time of these failures will be unstable due to various factors, such as whether the tools, equipment or materials required for maintenance can be replenished in time, or whether the maintenance personnel are professional enough. Therefore, it is necessary to monitor and track them and make corresponding strategies based on the results, so as to minimize the negative impact of unstable maintenance time on the construction progress and ensure the smooth progress of the construction progress.

[0049] Reference Figure 1 , a construction progress supervision method, the method comprising the following steps:

[0050] S1. When a target object to be repaired is detected, a first estimated repair time corresponding to the target object to be repaired is obtained; wherein the first estimated repair time is obtained after predicting the fault state of the target object to be repaired.

[0051] Specifically, the target object generally refers to the construction equipment / system and other monitoring equipment required for construction. Therefore, when their working status is stopped during working hours, or they do not output the corresponding working signal, they can be determined to be in a faulty state and need to be inspected and repaired. Alternatively, when the detection determines that there are safety hazards in the target object, they can also be determined to be in a faulty state. For example, since there are many electrical devices in the current equipment / system, if at least a local position has abnormally high temperature during the operation of the equipment / system, it means that it is in an abnormal working state. If it is not inspected and repaired in time, the equipment / system may cause a short circuit or short circuit due to high temperature, causing damage to the equipment, and even causing the equipment to explode. Therefore, although it is still running, it is still necessary to determine that it is in a faulty state.

[0052] In one embodiment, when the target object is an electrical device, the method of the embodiment of the present application may further include the following steps: S0, performing fault detection on the target object. The step S0 may specifically include the following steps.

[0053] S001. Use a thermal imaging device on an unmanned aerial vehicle to photograph a target object to obtain a first thermal image.

[0054] S002. Identify the highest temperature value of the target object from the first thermal image.

[0055] S003: When the highest temperature value is within the warning temperature threshold range, it is determined that the target object has a fault problem, and the target object is taken as a target object to be repaired.

[0056] It can be seen that the above method can be used to predict faults of target objects that are in operation. Not only is the detection and processing efficiency and accuracy high, but it can also save maintenance time and additional resources / cost investment in replacing equipment due to serious damage caused by faults.

[0057] In some embodiments, the step S1 of obtaining the first estimated maintenance time corresponding to the target object to be repaired specifically includes:

[0058] S101. Acquire fault status information of a target object to be repaired, wherein the fault status information at least includes a fault location and a fault severity.

[0059] Specifically, we studied and analyzed several equipment / systems at the construction site and found that if the location of the fault, that is, the location of the faulty component, or the location of the bug in the software, has little impact on the overall equipment / system and is not a core location, then it will generally not be too complicated and the maintenance time will be short; of course, if the severity of the fault is greater, the maintenance time will increase accordingly. Therefore, the first estimated maintenance time of the target object to be repaired is comprehensively estimated and evaluated using the fault location and fault severity, which has a higher accuracy.

[0060] S102: Input the fault status information into a trained deep learning model for processing to obtain a corresponding first estimated maintenance time.

[0061] Specifically, the above-mentioned deep learning model can be implemented by an adaptive neural fuzzy system. Since the adaptive neural fuzzy system, ANFIS, organically combines fuzzy logic and neural networks, uses a hybrid algorithm of back propagation algorithm and least squares method to adjust premise parameters and conclusion parameters, and can automatically generate If-Then rules, it can identify and extract complex patterns and key features in data to accurately predict the corresponding results. Therefore, the use of an adaptive neural fuzzy system to implement the deep learning model in this solution can further improve the accuracy of the above-mentioned maintenance time prediction estimation.

[0062] Furthermore, the data input matrix of the deep learning model may include, in addition to the fault status information, the deployment time of resources required for the maintenance strategy corresponding to the target object to be repaired.

[0063] Specifically, for the maintenance strategy corresponding to the target object to be maintained, the time required for the allocation of resources, such as equipment, tools, professional maintenance personnel, etc., if the resources are sufficient, then the time is shorter, otherwise, the time will be longer, and the allocation time belongs to the maintenance time, so its length will have a significant impact on the maintenance time. Therefore, adding the above allocation time to predict and estimate the first expected maintenance time can further improve its prediction accuracy.

[0064] S2. When the first estimated maintenance duration is greater than or equal to a first duration threshold, first replacement prompt information is output, where the first replacement prompt information is used to prompt the target object to be repaired to be replaced.

[0065] Specifically, the first time threshold is the maximum time allowed for maintenance. If the estimated maintenance time is too long, so that the actual construction progress lags behind the original planned construction progress, resulting in the overall project delay, then it is chosen not to be repaired, but to be replaced directly, thereby saving maintenance time and ensuring the smooth progress of the construction progress.

[0066] In some embodiments, the value of the first duration threshold is not fixed, but depends on the difference between the current construction progress and the planned construction progress. If the current construction progress is faster than the planned construction progress, the allowed reserved maintenance time can be longer, and the first duration threshold is larger. Otherwise, the first duration threshold is smaller. Therefore, the method further includes the step of obtaining the first duration threshold, and the step of obtaining the first duration threshold specifically includes the following steps.

[0067] A1. Get the planned progress and current progress of the current construction task node.

[0068] A2. Calculate the time difference between the planned progress and the current progress.

[0069] A3. Determine the first duration threshold according to the time difference.

[0070] Specifically, the step A3 of determining the first duration threshold according to the time difference includes the following steps.

[0071] A301. Obtain an initial duration threshold.

[0072] A302. Determine the adjustment coefficient based on the time difference.

[0073] Specifically, when the calculation formula of the time difference △T is △T=T1-T2, where T1 represents the actual time of the current progress and T2 represents the set time of the planned progress, if △T is a negative number, it means that the current progress is faster than the planned progress. On the contrary, if △T is a positive number, it means that the current progress lags behind the planned progress. On this basis, the above adjustment coefficient r is inversely proportional to the time difference △T, that is, the larger △T is, the smaller r is. Similarly, if the calculation formula of the time difference △T is △T=T2-T1, if △T is a positive number, it means that the current progress is faster than the planned progress. On the contrary, if △T is a negative number, it means that the current progress lags behind the planned progress. At this time, the adjustment coefficient r is in a positive proportional relationship with the time difference △T. Among them, for the adjustment coefficient r, its value can be 0.3~1.5.

[0074] A303. Determine a first duration threshold according to the adjustment coefficient and the initial duration threshold.

[0075] Specifically, the adjustment coefficient r may be multiplied by the initial duration threshold to obtain a product result, and the product result is used as the first duration threshold.

[0076] It can be seen that by adopting the above method, a maintenance solution (direct replacement or repair of faulty equipment) can be selected reasonably and close to the actual situation for the maintenance target object, while ensuring that the construction progress is not affected, reducing the additional cost and resource investment caused by direct replacement of equipment.

[0077] S3. When the first estimated maintenance duration is less than a first duration threshold, obtaining the current actual maintenance duration of the target object to be maintained.

[0078] Specifically, when it is determined that the first estimated maintenance time is less than the first time threshold, the relevant maintenance personnel will perform maintenance on the target object to be maintained. In order to accurately determine the current actual maintenance time, the step S3 of obtaining the current actual maintenance time of the target object to be maintained specifically includes the following steps.

[0079] S301: The time when the existence of the target object to be repaired is detected is used as the repair start time.

[0080] S302: Obtain the current time from the clock system.

[0081] S303: Determine the actual maintenance duration of the target object to be maintained according to the maintenance start time and the current time.

[0082] Specifically, the moment when the target object to be repaired is detected is used as the start time of maintenance, so that the time for allocating maintenance resources can be included in the actual maintenance time, which is conducive to the subsequent accurate judgment of the actual maintenance time, thereby improving the accuracy of maintenance progress monitoring.

[0083] S4. When the actual maintenance duration is within the progress warning duration range, a first progress warning signal is output to the corresponding user terminal device.

[0084] Specifically, for the progress warning duration range, it mainly means that when the maintenance duration is within this duration range, the maintenance has begun to affect the construction progress, and as the maintenance duration approaches the maximum value of the progress warning duration range, the negative impact it produces will be greater. Therefore, after starting to repair the target object to be repaired, it is necessary to monitor the current actual maintenance duration in real time, and when the actual maintenance duration exceeds the normal duration, that is, it falls within the progress warning duration range, it is necessary to send a first progress warning signal to the corresponding user terminal device to notify higher-level management personnel to review this situation, so as to arrange and allocate relevant resources as reasonably as possible to repair the target object as soon as possible to ensure that it is repaired within the progress warning duration range. It can be seen that this can further ensure that the construction progress is in line with expectations, avoid the progress of the task node being seriously slowed down due to unstable factors, and thus delay the delivery of the overall project.

[0085] In some embodiments, the first duration threshold is the same as the maximum value of the progress warning duration range, that is, the duration of 0 to Tn is the normal maintenance duration range, the duration of Tn to Tm is the progress warning duration range, and Tm is the first duration threshold.

[0086] In some embodiments, in order to monitor the duration of specific maintenance steps in the entire maintenance process, the method of the embodiment of the present application may also include the following steps.

[0087] S5. When the first estimated maintenance duration is less than a first duration threshold, a maintenance strategy demonstration video corresponding to the target object to be maintained is obtained, wherein the maintenance strategy demonstration video includes demonstration sub-videos of several maintenance execution steps and a trigger button for triggering the demonstration sub-video of the maintenance execution step to be opened and played.

[0088] Specifically, when it is determined that the target object is to be repaired, the background server can match a demonstration video of the optimal maintenance strategy suitable for the target object to be repaired based on the equipment type, fault point, fault status and other information of the target object to be repaired, and then send it to the on-site terminal equipment for display. In this way, even if the maintenance personnel's professionalism is still lacking, they can gradually perform maintenance according to the content of the demonstration video, thereby avoiding the problem of increased maintenance time due to the lack of professionalism of the maintenance personnel, and ensuring that the maintenance progress is controllable.

[0089] Moreover, for the demonstration sub-videos of several maintenance execution steps, they will be played according to the order of the maintenance steps. For example, if you want to play the demonstration sub-video of the third maintenance execution step, the demonstration sub-videos of the first and second maintenance execution steps must have been played, and the maintenance personnel's operation behavior information and the current status information of the target object must be uploaded, so as to determine that the target object has accurately and completely executed the above two execution steps. Only then will the click information of the trigger button of the demonstration sub-video of the third maintenance execution step be received, so that the background system can respond to the click information of the trigger button to trigger the opening of the demonstration sub-video of the maintenance execution step for playback. It can be seen that the number of the trigger button click information that can be received and detected indicates the number of maintenance sub-steps the current target object is in.

[0090] S6. Estimate the maintenance time of the target object to be maintained according to the latest click time of the trigger button.

[0091] Specifically, based on the above content, it can be known that the latest click time of the trigger button is the moment when the click signal transmitted by the currently most recently clicked trigger button is received. For example, the currently most recently clicked trigger button is the trigger button of the demonstration sub-video of the third maintenance execution step. Therefore, the moment when the click signal transmitted by this trigger button is received is taken as the latest click time of the trigger button. At this time, according to this time point, it can be determined which maintenance sub-step the target object to be repaired is currently in, so as to estimate the maintenance time of the target object to be repaired, that is, it can be estimated how long it will take to complete the maintenance of the target object to be repaired.

[0092] In addition, it should be noted that if the trigger button of the demonstration sub-video of the third maintenance execution step is clicked multiple times, the time of the first click will be used as the latest click time of this trigger button.

[0093] S7: Determine a second estimated maintenance time corresponding to the target object to be maintained according to the maintenance time.

[0094] Specifically, the second estimated maintenance time is a total estimated maintenance time obtained by adding the actual maintenance time from the maintenance start time to the current time to the time to be maintained.

[0095] S8. When the second estimated maintenance time is within the progress warning time range, a second progress warning signal is output to the corresponding user terminal device.

[0096] Specifically, the execution purpose of this step S8 and the above-mentioned step S4 is basically the same, and will not be discussed again here.

[0097] S9. When the second estimated maintenance time is greater than or equal to a first time threshold, outputting first replacement prompt information, wherein the first replacement prompt information is used to prompt the target object to be repaired to be replaced.

[0098] Specifically, due to many unstable factors during the maintenance process, the previous maintenance work may take a long time. Then, when the sum of the actual maintenance time of the maintenance operation that has been performed and the predicted value of the maintenance time exceeds the first time threshold, that is to say, if the maintenance continues according to the current maintenance progress, there may be a serious timeout problem. At this time, you can choose not to continue the maintenance but directly replace the equipment / system to avoid seriously slowing down the construction progress.

[0099] In some embodiments, the method of the embodiment of the present application also includes the following steps.

[0100] S10, obtaining the current state of the target object to be repaired;

[0101] S11. When it is detected that the current state of the target object to be repaired is still a fault state, the process returns to step S1 of obtaining the first estimated repair time corresponding to the target object to be repaired.

[0102] Specifically, after completing the corresponding maintenance operations step by step according to the maintenance strategy demonstration video, the target object to be maintained is detected to obtain its current status. If it has been repaired and is in normal working condition, then the current maintenance work has been completed and there is no need to monitor and manage the maintenance time. Otherwise, if it is still in a fault state, return to step S1 and execute the steps again from step S1 until the target object is in normal working condition.

[0103] In summary, by using the method of the embodiment of the present application, the maintenance time can be predicted and monitored, thereby improving the processing efficiency of the maintenance work, ensuring the reasonable arrangement and deployment of resources, and avoiding the problem of additional resource cost investment as much as possible. In addition, the method of the embodiment of the present application can also be matched with a corresponding maintenance strategy demonstration video for maintenance personnel to view, which not only improves the efficiency of maintenance work, but also further avoids the problem of increased maintenance time due to the lack of business proficiency of maintenance personnel, and further ensures that the construction progress is smoothly advanced within an acceptable range. In addition, since the execution time of different maintenance personnel for each maintenance sub-step can be determined by the click time of the trigger button, it can be understood from the side which maintenance sub-steps are the most time-consuming, so that corresponding training and learning can be provided for the operation execution of these sub-steps in the future.

[0104] Reference Figure 2 The present application also provides a construction progress monitoring system, which includes:

[0105] A first processing system, comprising at least one processor, wherein the processor is used to execute the steps of implementing the above-mentioned method for supervising the progress of construction;

[0106] A plurality of user terminal devices are used to receive the signal from the first processing system and display it.

[0107] In some embodiments, the system further includes a plurality of sensors for monitoring and detecting the target object and transmitting the detected data to the first processing system for corresponding data processing.

[0108] In view of the fact that the first processing system in the above system embodiment includes at least one processor, and the processor is used to load a program to execute the steps of implementing the above method embodiment, the beneficial effects of this embodiment are the same as the beneficial effects of the above method embodiment, and will not be elaborated in detail here.

[0109] Reference Figure 3 The present application also provides a construction progress monitoring system, which includes:

[0110] A first acquisition processing unit is used to acquire a first estimated maintenance time corresponding to the target object to be repaired when the target object to be repaired is detected; wherein the first estimated maintenance time is obtained after predicting the fault state of the target object to be repaired;

[0111] A first judgment processing unit, configured to output first replacement prompt information when the first estimated maintenance time is greater than or equal to a first time threshold, wherein the first replacement prompt information is used to prompt the target object to be repaired to be replaced;

[0112] A second judgment processing unit, configured to obtain a current actual maintenance time of the target object to be repaired when the first estimated maintenance time is less than a first time threshold;

[0113] The third judgment processing unit is used to output a first progress warning signal to the corresponding user terminal device when the actual maintenance time is within the progress warning time range.

[0114] In some embodiments, the first acquisition processing unit specifically includes:

[0115] A first acquisition processing module is used to acquire fault status information of a target object to be repaired, wherein the fault status information at least includes a fault location and a fault severity;

[0116] The first prediction processing module is used to input the fault status information into a trained deep learning model for processing to obtain a corresponding first estimated maintenance time.

[0117] In some embodiments, the system further includes a second acquisition processing unit, and the second acquisition processing unit is used to acquire the first duration threshold; the second acquisition processing unit specifically includes:

[0118] The second acquisition processing module is used to obtain the planned progress and current progress of the current construction task node;

[0119] A first calculation processing module, used to calculate the time difference between the planned progress and the current progress;

[0120] The first determination processing module is used to determine the first duration threshold according to the time difference.

[0121] In some embodiments, the first determination processing module specifically includes:

[0122] The first acquisition processing submodule is used to obtain an initial duration threshold;

[0123] A first adjustment processing submodule, used to determine an adjustment coefficient according to a time difference;

[0124] The first determination processing submodule is used to determine a first duration threshold according to the adjustment coefficient and the initial duration threshold.

[0125] In some embodiments, the second judgment processing unit specifically includes:

[0126] A third acquisition processing module is used to use the time when the target object to be repaired is detected as the maintenance start time;

[0127] A fourth acquisition processing module is used to obtain the current time from the clock system;

[0128] The second determination processing module is used to determine the actual maintenance time of the target object to be maintained according to the maintenance start time and the current time.

[0129] In some embodiments, the system further comprises:

[0130] a third acquisition processing unit, configured to acquire a maintenance strategy demonstration video corresponding to the target object to be repaired when the first estimated maintenance time is less than a first time threshold, wherein the maintenance strategy demonstration video includes a plurality of demonstration sub-videos of maintenance execution steps and a trigger button for triggering the demonstration sub-video of the maintenance execution steps to be opened and played;

[0131] A first estimation processing unit, configured to estimate the time required for maintenance of the target object to be maintained according to the latest click time of the trigger button;

[0132] A first determination processing unit is used to determine a second estimated maintenance time corresponding to the target object to be repaired according to the maintenance time;

[0133] The fourth judgment processing unit is used to output a second progress warning signal to the corresponding user terminal device when the second estimated maintenance time is within the progress warning time range.

[0134] In some embodiments, the system further comprises:

[0135] The fifth judgment processing unit is used to output first replacement prompt information when the second estimated maintenance time is greater than or equal to the first time threshold, wherein the first replacement prompt information is used to prompt the target object to be repaired to be replaced.

[0136] In some embodiments, the system further comprises:

[0137] A fourth acquisition processing unit, used to acquire the current state of the target object to be repaired;

[0138] The sixth judgment processing unit is used to return to execute the processing program run by the first acquisition processing unit when it is detected that the current state of the target object to be repaired is still a fault state.

[0139] The above-mentioned system embodiment units / modules correspond one to one with the steps of the method embodiment, so the beneficial effects of this embodiment are the same as the beneficial effects of the above-mentioned method, which will not be elaborated in detail here.

[0140] In addition, the present application also provides a computer-readable storage medium, which stores a computer program, and the computer program is executed by a processor to implement the steps of the above method embodiment.

[0141] In view of the readable storage medium in the storage medium embodiment, which stores a computer program, and the computer program is executed by the processor to implement the steps of the above-mentioned method embodiment, the beneficial effects of this embodiment are the same as the beneficial effects of the above-mentioned method and system embodiments, and will not be elaborated in detail here.

[0142] For the processors mentioned in the above storage medium embodiment and the system embodiment, the number can be at least 1, and at least any step in the above method embodiment can be executed. When the number is at least two, at least two processors can be connected to each other by communication, not limited to wired or wireless communication connection, and the at least one processor can be connected to various intelligent terminal devices by communication. In addition, the processor can be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor or the processor can also be any conventional processor, etc.

[0143] Finally, it should be understood that the size of the serial numbers of the steps in the above embodiments does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0144] Note that the above are only preferred embodiments of the present application and the technical principles used. Those skilled in the art will understand that the present application is not limited to the specific embodiments described herein, and that various obvious changes, readjustments and substitutions can be made by those skilled in the art without departing from the scope of protection of the present application. Therefore, although the present application is described in more detail through the above embodiments, the present application is not limited to the above embodiments, and may include more other equivalent embodiments without departing from the concept of the present application, and the scope of the present application is determined by the scope of the appended claims.

Claims

1. A construction progress supervision method, characterized in that: The method comprises the following steps: When a target object to be repaired is detected, a first estimated repair time corresponding to the target object to be repaired is obtained; wherein the first estimated repair time is obtained after predicting the fault state of the target object to be repaired; When the first estimated maintenance time is greater than or equal to a first time threshold, first replacement prompt information is output, where the first replacement prompt information is used to prompt that the target object to be repaired should be replaced; When the first estimated maintenance time is less than a first time threshold, obtaining the current actual maintenance time of the target object to be repaired; When the actual maintenance duration is within the progress warning duration range, a first progress warning signal is output to the corresponding user terminal device.

2. The method according to claim 1, characterized in that The step of obtaining the first estimated maintenance time corresponding to the target object to be maintained specifically includes: Acquire fault status information of the target object to be repaired, wherein the fault status information at least includes the fault location and the fault severity; After the fault status information is input into the trained deep learning model for processing, the corresponding first estimated maintenance time is obtained.

3. The method according to claim 1, characterized in that The method further includes the step of obtaining a first duration threshold, wherein the step of obtaining the first duration threshold specifically includes: Get the planned progress and current progress of the current construction task node; Calculating the time difference between the planned progress and the current progress; The first duration threshold is determined according to the time difference.

4. The method according to claim 3, characterized in that The step of determining the first duration threshold according to the time difference specifically includes: Get the initial duration threshold; Determine the adjustment factor based on the time difference; A first duration threshold is determined according to the adjustment coefficient and the initial duration threshold.

5. The method according to claim 1, characterized in that The system includes: the step of obtaining the current actual maintenance time of the target object to be repaired, which specifically includes: The time when the target object to be repaired is detected is regarded as the start time of repair; Get the current time from the clock system; According to the maintenance start time and the current time, the actual maintenance time of the target object to be maintained is determined.

6. The method according to any one of claims 1 to 5, characterized in that: The method further comprises the following steps: When the first estimated maintenance time is less than a first time threshold, obtaining a maintenance strategy demonstration video corresponding to the target object to be maintained, wherein the maintenance strategy demonstration video includes a plurality of demonstration sub-videos of maintenance execution steps and a trigger button for triggering the demonstration sub-video of the maintenance execution step to be opened and played; According to the latest click time of the trigger button, estimating the maintenance time of the target object to be maintained; Determine a second estimated maintenance time corresponding to the target object to be repaired according to the maintenance time; When the second estimated maintenance time is within the progress warning time range, a second progress warning signal is output to the corresponding user terminal device.

7. The method according to claim 6, characterized in that The method further comprises the following steps: When the second estimated maintenance time is greater than or equal to the first time threshold, first replacement prompt information is output, where the first replacement prompt information is used to prompt that the target object to be repaired should be replaced.

8. The method according to any one of claims 1 to 5, characterized in that: The method further comprises the following steps: Get the current status of the target object to be repaired; When it is detected that the current state of the target object to be repaired is still a fault state, the process returns to the step of obtaining the first estimated repair time corresponding to the target object to be repaired.

9. A construction progress monitoring system, characterized in that: The system includes: A first acquisition processing unit is used to acquire a first estimated maintenance time corresponding to the target object to be repaired when the target object to be repaired is detected; wherein the first estimated maintenance time is obtained after predicting the fault state of the target object to be repaired; A first judgment processing unit, configured to output first replacement prompt information when the first estimated maintenance time is greater than or equal to a first time threshold, wherein the first replacement prompt information is used to prompt the target object to be repaired to be replaced; A second judgment processing unit, configured to obtain a current actual maintenance time of the target object to be repaired when the first estimated maintenance time is less than a first time threshold; The third judgment processing unit is used to output a first progress warning signal to the corresponding user terminal device when the actual maintenance time is within the progress warning time range.

10. A construction progress monitoring system, characterized in that: The system includes: A first processing system, comprising at least one processor, wherein the processor is configured to execute the steps of implementing the method according to any one of claims 1 to 8; A plurality of user terminal devices are used to receive the signal transmitted from the first processing system and display it.

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