Method, device, client and storage medium for identifying construction progress of building structure

Abstract

The present invention discloses a method, device, client and storage medium for identifying the construction progress of a building structure. The method includes: establishing a mapping relationship list between N tower cranes and N construction units, and determining a material type list hoisted by the tower cranes in the building structure, and a construction process list of the building structure; obtaining monitoring data of N tower cranes in the N construction units; wherein the monitoring data of each tower crane includes: the hoisting height data of the tower crane, and the hook video data of the tower crane; based on the mapping relationship list, the material type list and the construction process list, analyzing the monitoring data of each tower crane, and identifying the construction progress of the building structure. The scheme can reduce the workload of entering the construction progress by analyzing the construction progress according to the monitoring data of the tower crane, and ensure the timely entry of the construction progress.

Description

Technical Field

[0001] The present invention belongs to the field of intelligent construction technology, and specifically relates to a method, device, client and storage medium for identifying the construction progress of a building structure, and in particular to a method, device, client and storage medium for intelligently identifying the construction progress of a building structure. Background Art

[0002] The identification and collection of actual construction progress is an important and basic work of construction management. However, due to the rapid changes in construction site progress and the large workload of data entry, the on-site construction progress entry is often delayed, which seriously affects the construction progress, quality and cost control.

[0003] The above contents are only used to assist in understanding the technical solution of the present invention and do not constitute an admission that the above contents are prior art. Summary of the invention

[0004] The purpose of the present invention is to provide a method, device, client and storage medium for identifying the construction progress of a building structure, so as to solve the problem that the workload of entering the construction progress is large and the entry time is relatively slow, so as to achieve the effect of at least reducing the workload of entering the construction progress and ensuring the timely entry of the construction progress by analyzing the construction progress according to the monitoring data of the tower crane.

[0005] The present invention provides a method for identifying the construction progress of a building structure, wherein the building structure comprises: N construction units, where N is a positive integer; in each of the N construction units, a tower crane is arranged; the method for identifying the construction progress of the building structure comprises: establishing a mapping relationship list between the N tower cranes and the N construction units, and determining a material type list hoisted by the tower cranes in the building structure, and a construction process list of the building structure; acquiring monitoring data of the N tower cranes in the N construction units; wherein the monitoring data of each tower crane comprises: hoisting height data of the tower crane, and hook video data of the tower crane; based on the mapping relationship list, the material type list and the construction process list, analyzing the monitoring data of each tower crane to identify the construction progress of the building structure.

[0006] In some embodiments, in the material type list, the material types include: precast concrete components, steel structure components, steel pipes, wood, formwork, and steel bars; in the construction process list, the construction processes include: precast concrete component hoisting, steel structure hoisting, steel bar installation, formwork installation, and cast-in-place concrete pouring; and / or, at each of the tower cranes, a tower crane hoisting height monitoring module and a tower crane hook video monitoring module are provided; the monitoring data of each tower crane includes: the hoisting height of the tower crane monitored by the tower crane hoisting height monitoring module provided at the tower crane Operating height data; and, through the tower crane hook video monitoring module arranged at the tower crane, the hook video data of the tower crane monitored; obtaining the monitoring data of the N tower cranes in the N construction units, including: obtaining the lifting height of each tower crane each time, and the completion time of the tower crane for that lifting, and recording the height and completion time of each lifting of the tower crane as the lifting height data of the tower crane; obtaining the time when the hook of each tower crane is at the highest height each time, and the monitoring picture within the set range below the tower crane at that time, and using the time and the monitoring picture as the hook video data of the tower crane.

[0007] In some embodiments, based on the mapping relationship list, the material type list and the construction process list, the monitoring data of each tower crane is analyzed to identify the construction progress of the building structure, including: determining the average value of the lifting height data of all tower cranes within a set time period based on the lifting height data in the monitoring data of each tower crane; and determining the number of floors of the current construction unit within the set time period based on the mapping relationship list and in combination with the heights of each floor in all construction units; based on the material type list, and according to the hook video data in the monitoring data of each tower crane, using a convolutional neural network algorithm, identifying the type of materials lifted by all tower cranes within the set time period, and determining the number of different material types lifted by all tower cranes within the set time period; based on the construction process list, and according to the type and quantity of materials lifted by all tower cranes within the set time period, using a hierarchical analysis method to determine the construction process within the set time period; and determining the construction process under the number of floors of the current construction unit within the set time period as the current construction progress of the building structure.

[0008] In some implementations, the method further includes: after identifying the construction progress of the building structure, reporting the determined construction progress of the building structure to a set client to record the construction progress of the building structure.

[0009] Matching the above method, the present invention provides, on the other hand, a device for identifying the construction progress of a building structure, wherein the building structure comprises: N construction units, where N is a positive integer; in each of the N construction units, a tower crane is provided; the device for identifying the construction progress of the building structure comprises: a setting unit, configured to establish a mapping relationship list between the N tower cranes and the N construction units, and determine a material type list hoisted by the tower cranes in the building structure, and a construction process list of the building structure; an acquisition unit, configured to acquire monitoring data of the N tower cranes in the N construction units; wherein the monitoring data of each tower crane comprises: hoisting height data of the tower crane, and hook video data of the tower crane; an identification unit, configured to analyze the monitoring data of each tower crane based on the mapping relationship list, the material type list and the construction process list, and identify the construction progress of the building structure.

[0010] In some embodiments, in the material type list, the material types include: precast concrete components, steel structure components, steel pipes, wood, formwork, and steel bars; in the construction process list, the construction processes include: precast concrete component hoisting, steel structure hoisting, steel bar installation, formwork installation, and cast-in-place concrete pouring; and / or, at each of the tower cranes, a tower crane hoisting height monitoring module and a tower crane hook video monitoring module are provided; the monitoring data of each tower crane includes: the hoisting height data of the tower crane monitored by the tower crane hoisting height monitoring module provided at the tower crane; data; and, video data of the hook of the tower crane monitored by a tower crane hook video monitoring module arranged at the tower crane; the acquisition unit acquires the monitoring data of the N tower cranes in the N construction units, including: acquiring the lifting height of each tower crane each time, and the completion time of the lifting of the tower crane each time, and recording the height and completion time of the tower crane each time as the lifting height data of the tower crane; acquiring the time when the hook of each tower crane is at the highest height each time, and the monitoring picture within a set range below the tower crane at that time, and taking the time and the monitoring picture as the hook video data of the tower crane.

[0011] In some embodiments, the identification unit analyzes the monitoring data of each tower crane based on the mapping relationship list, the material type list and the construction process list to identify the construction progress of the building structure, including: determining the average value of the lifting height data of all tower cranes within a set time period based on the lifting height data in the monitoring data of each tower crane; and determining the number of floors of the current construction unit within the set time period based on the mapping relationship list and in combination with the heights of each floor in all construction units; based on the material type list, and according to the hook video data in the monitoring data of each tower crane, using a convolutional neural network algorithm, identifying the type of materials lifted by all tower cranes within the set time period, and determining the number of different types of materials lifted by all tower cranes within the set time period; based on the construction process list, and according to the type and quantity of materials lifted by all tower cranes within the set time period, using a hierarchical analysis method to determine the construction process within the set time period; and determining the construction process under the number of floors of the current construction unit within the set time period as the current construction progress of the building structure.

[0012] In some embodiments, the method further includes: the identification unit is further configured to report the determined construction progress of the building structure to a set client after identifying the construction progress of the building structure, so as to record the construction progress of the building structure.

[0013] Matching the above-mentioned device, the present invention further provides a client, including: the above-mentioned device for identifying the construction progress of a building structure.

[0014] In accordance with the above method, the present invention provides a storage medium on the other hand, wherein the storage medium includes a stored program, wherein when the program is running, the device where the storage medium is located is controlled to execute the above-mentioned method for identifying the construction progress of a building structure.

[0015] Therefore, the scheme of the present invention can monitor the overall situation of the construction site and the operation status of the tower crane and obtain monitoring data by installing sensors such as video monitoring, hook height, and tower crane operation status on the tower crane; based on the tower crane hook visualization data and the Internet of Things monitoring data such as the tower crane lifting height in the monitoring data, the construction progress of the building structure can be intelligently identified; thereby, by analyzing the construction progress based on the tower crane monitoring data, at least the workload of entering the construction progress can be reduced, and the timely entry of the construction progress can be guaranteed.

[0016] Other features and advantages of the present invention will be set forth in the description which follows, and in part will be apparent from the description, or may be learned by practice of the present invention.

[0017] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 A schematic diagram of a flow chart of an embodiment of a method for identifying construction progress of a building structure of the present invention;

[0019] Figure 2 A schematic diagram of a flow chart of an embodiment of the method of the present invention for identifying the construction progress of the building structure;

[0020] Figure 3 A schematic structural diagram of an embodiment of a device for identifying the construction progress of a building structure according to the present invention;

[0021] Figure 4 It is a schematic diagram of the overall process of an embodiment of the method for intelligently identifying the construction progress of a building structure of the present invention;

[0022] Figure 5 It is a structural schematic diagram of an embodiment of the intelligent identification device for building structure construction progress of the present invention;

[0023] Figure 6 It is a structural schematic diagram of another embodiment of the intelligent identification device for building structure construction progress of the present invention;

[0024] Figure 7 Schematic diagram of tower crane visualization monitoring image (concrete material).

[0025] In conjunction with the accompanying drawings, the reference numerals in the embodiments of the present invention are as follows:

[0026] 102 - setting unit; 104 - acquiring unit; 106 - identifying unit. DETAILED DESCRIPTION

[0027] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the specific embodiments of the present invention and the corresponding drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of 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.

[0028] According to an embodiment of the present invention, a method for identifying the construction progress of a building structure is provided. Figure 1 The flowchart of an embodiment of the method of the present invention is shown. The building structure comprises: N construction units, where N is a positive integer. In each of the N construction units, a tower crane is provided. The method for identifying the construction progress of the building structure comprises: steps S110 to S130.

[0029] In step S110, a mapping relationship list between N tower cranes and N construction units is established, and a list of material types hoisted by the tower cranes in the building structure and a list of construction procedures for the building structure are determined. Specifically, a mapping relationship list between N tower cranes and N construction units is established {(d i , w i )}. And determine the material type list M of the tower crane in the building structure = {m j}, and a construction process list of the building structure {(f j ,(m jk ))}. Among them, d i For tower crane, w i is the construction unit, m j is the material type, f j is the construction process; m jk For process f j The main materials used in the construction process are elements in M.

[0030] Figure 4 The figure is a schematic diagram of the overall process of an embodiment of the method for intelligently identifying the construction progress of a building structure of the present invention. Figure 5 FIG. 1 is a schematic diagram of the structure of an embodiment of the intelligent identification device for building structure construction progress of the present invention. Figure 4 As shown, the method for intelligently identifying the construction progress of a building structure of the present invention comprises the following steps:

[0031] Step 1: Build each crane i With structural construction unit i The mapping relationship list {(d i , w i )}. And sort out the list of main material types hoisted by tower cranes during structural construction M = {m j}, sort out the structural construction process list F = {f j ,(m jk )}.

[0032] Among them, in the material type list, the material types include: precast concrete components, steel structure components, steel pipes, wood, formwork, and steel bars.

[0033] In the construction process list, the construction processes include: hoisting of precast concrete components, hoisting of steel structures, installation of steel bars, installation of formwork, and pouring of cast-in-place concrete.

[0034] In step 1, m j It is the main type of input materials, including precast concrete components, steel structure components, steel pipes, wood, formwork, steel bars, etc. jThe input is the main structural construction process list including precast concrete component lifting, steel structure lifting, steel bar installation, formwork installation, cast-in-place concrete pouring, which may vary for each project.

[0035] For example: the mapping relationship of tower crane construction units is {(tower crane 1#, 1# building), (tower crane 2#, 2# building)}. The main material type list M = {precast concrete components, steel structure components, steel pipes, wood, formwork, steel bars, concrete, others}. The structural construction process list F = {(precast concrete component hoisting, (precast concrete components)), (steel structure hoisting, (steel structure components)), (steel bar installation, (steel bar)), (formwork installation, (steel pipes, formwork, wood)), (cast-in-place concrete pouring, (concrete))}.

[0036] In step S120, the monitoring data of the N tower cranes in the N construction units are obtained, wherein the monitoring data of each tower crane includes: the hoisting height data of the tower crane, and the hook video data of the tower crane.

[0037] A tower crane hoisting height monitoring module and a tower crane hook video monitoring module are provided at each of the tower cranes. The monitoring data of each tower crane includes: the hoisting height data of the tower crane monitored by the tower crane hoisting height monitoring module provided at the tower crane, and the hook video data of the tower crane monitored by the tower crane hook video monitoring module provided at the tower crane.

[0038] Acquiring the monitoring data of the N tower cranes in the N construction units in step S120 includes the following two acquisition situations:

[0039] The first acquisition scenario: obtain the height of each tower crane each time it is lifted, and the completion time of the tower crane for that time, and record the height and completion time of each tower crane lifting as the lifting height data of the tower crane. Specifically, obtain the height data of each tower crane each time it is lifted, and record the lifting completion time of the tower crane, and record it as (te i ,h i ). Among them, h i is the lifting height data, te i The time when the lifting is completed.

[0040] like Figure 4 As shown, the method for intelligently identifying the construction progress of a building structure of the present invention further includes the following steps:

[0041] Step 2: Monitoring the lifting height of the tower crane hook. Specifically, for each tower crane d i , using distance sensors to monitor each tower crane i Each lifting height h i , and record the lifting completion time te i, recorded as (te i ,h i ).

[0042] For example: You can use Figure 5 The tower crane hoisting height monitoring module shown in the figure is for each tower crane d i , using distance sensors to monitor each tower crane i Each lifting height h i , and record the lifting completion time te i , recorded as (te i ,h i ). Figure 6 FIG. 2 is a schematic diagram of another embodiment of the intelligent identification device for building structure construction progress of the present invention. Figure 6 As shown, the tower crane hoisting height monitoring module is generally installed under the tower crane trolley and is used to measure the distance between the tower crane height and the hook height.

[0043] For example, when the material is unhooked (i.e. when the lifting is finished), the distance d between the hook and the tower crane boom is monitored by the distance sensor. i , and then through the tower crane boom height Hd i Calculate the material lifting height h i .

[0044] The second acquisition scenario: obtain the time when the hook of each tower crane is at the highest height each time, and the monitoring picture within a set range below the tower crane at that time, and use the time and the monitoring picture as the hook video data of the tower crane.

[0045] like Figure 4 As shown, the method for intelligently identifying the construction progress of a building structure of the present invention further includes the following steps:

[0046] Step 4: The tower crane hook is adapted to the monitoring screen. Specifically, by installing video monitoring on the tower crane trolley, the maximum height time of each hook is recorded. j , monitoring screen below the tower crane j , recorded as (t j , p j ).

[0047] For example: You can use Figure 5 The hook video monitoring module shown is installed on the tower crane trolley to record the maximum height time of each hook. j , monitoring screen below the tower crane j , recorded as (t j , p j ).like Figure 6 As shown in the figure, the hook video monitoring module is generally installed under the tower crane trolley and is used to capture the real-time image directly below the hook. Clear images can be collected through automatic focusing.

[0048] At different times, the tower crane is in different states. For example: (8:05 on a certain day, p1).

[0049] The scheme of the present invention provides a method for intelligently identifying the construction progress of a building structure. According to the visualization data of the tower crane hook and the Internet of Things monitoring data such as the tower crane lifting height, the construction progress of the building structure can be intelligently identified, the workload of personnel input can be reduced, the progress can be accurately and timely input, and construction management can be assisted.

[0050] At step S130, based on the mapping relationship list, the material type list and the construction process list, the monitoring data of each tower crane is analyzed to identify the construction progress of the building structure.

[0051] The tower crane attached to the building structure is an important tool for vertical transportation of materials during the structural construction process. Generally, a construction unit will be equipped with a tower crane to cover the lifting of materials such as formwork, steel bars, concrete steel pipes, precast concrete components, steel structure components, etc. on each floor of the construction unit.

[0052] Among them, building structure refers to a system composed of various components (roof trusses, beams, slabs, columns, etc.) in house construction that can withstand various effects.

[0053] The tower crane is also the commanding point of the construction of building structures. By installing sensors such as video monitoring, hook height, and tower crane operating status on the tower crane, the overall situation on site and the operation of the tower crane can be monitored, and it is widely used. In the related scheme, there is no technology that integrates the monitoring data of these sensors and uses it to analyze the progress of the construction. In fact, the lifting height of the tower crane is directly related to the current structural construction height, and the materials lifted by the tower crane are directly related to the construction process of the building structure. Therefore, the scheme of the present invention provides a method for intelligent identification of the construction progress of a building structure, which can accurately and intelligently identify the progress of the structure construction by analyzing the lifting height of the tower crane and visualizing the hook image.

[0054] In some embodiments, in step S130, based on the mapping relationship list, the material type list and the construction process list, the monitoring data of each tower crane is analyzed to identify the specific process of the construction progress of the building structure, as shown in the following exemplary description.

[0055] Combine the following Figure 2 The flowchart of an embodiment of identifying the construction progress of the building structure in the method of the present invention further illustrates the specific process of identifying the construction progress of the building structure in step S130, including: steps S210 to S230.

[0056] Step S210, according to the hoisting height data in the monitoring data of each tower crane, determine the average value of the hoisting height data of all tower cranes in a set time period. And based on the mapping relationship list, combined with the height of each floor in all construction units, determine the number of floors of the current construction unit in the set time period.

[0057] like Figure 4 As shown, the method for intelligently identifying the construction progress of a building structure of the present invention further includes the following steps:

[0058] Step 3: Analysis of the number of layers currently under construction. Specifically, take a fixed period T i As a unit, calculate the fixed period T i The average value of all lifting heights h, and according to the structural height of each floor of the building {(S j , H j )}, j = 1-number of floors n, calculate the number of floors currently under construction S i , recorded as (T i , S i ). The specific method is: when h>H j And h <H j+1 , then S i =S j. ; For example, if the structure height is {(6,18), (7,21), (8,24)}, h = 21.4, then the current number of construction floors is S i =7.

[0059] For example: You can use Figure 5 The construction layer analysis module shown in the figure is based on a fixed time period T i As a unit, calculate the fixed period T i The average value of all lifting heights within the building, and the number of floors currently under construction S is calculated based on the structural height of each floor of the building i , recorded as (T i , S i ).like Figure 6 As shown, the construction layer analysis module is generally an intelligent gateway device installed in the tower crane cockpit, which is connected to the tower crane lifting height monitoring module through wires and transmits data to the functional progress reporting module regularly through wireless means.

[0060] For example: fixed period T i For a certain day, from 0:00 to 24:00, the average height of all lifts in one day is 28.54m. Figure 6 Take the building in the example shown as an example, the corresponding number of floors is 8. The record is (0:00-24:0, 8 on a certain day).

[0061] Step S220, based on the material type list and according to the hook video data in the monitoring data of each tower crane, a convolutional neural network algorithm is used to identify the material types hoisted by all tower cranes within a set time period, and determine the number of different material types hoisted by all tower cranes within the set time period.

[0062] like Figure 4 As shown, the method for intelligently identifying the construction progress of a building structure of the present invention further includes the following steps:

[0063] Step 5: Intelligent classification of lifting materials. Specifically, in the structural construction, the main material types list M for tower crane lifting is j} range, using image recognition artificial intelligence algorithm, according to the maximum height time t j Monitoring screen below the tower crane j Classify the hoisted materials and record them as (t j , p j , m j ). In this way, by introducing the graphic recognition AI (artificial intelligence) algorithm, the lifting materials are automatically classified, the process identification is supported, and the construction progress is automatically analyzed.

[0064] For example, through the convolutional neural network algorithm, p1 is considered to be a steel pipe material, and it is recorded as (8:05 on a certain day, p1, steel pipe).

[0065] Specifically, the convolutional neural network algorithm is used to classify the hoisted materials according to the picture; the input is the visual snapshot of the hook, and the output is the material type. The training process mainly includes: the first step: training set collection, collecting 3,000 snapshots of the four-story structure construction of 5 projects for one month, involving various processes; the second step: training set labeling, manually classifying 15,000, marking the main hoisting materials, such as steel bars, wood, templates, etc.; the third step: training convolutional neural network: input the labeled training set data into the CNN network, and establish a classification convolutional neural network; use the open source CNN network algorithm; the fourth step: the newly collected monitoring screen is input into the trained CNN network to automatically identify the hoisted materials. For details, please refer to Figure 7 Example shown.

[0066] Step S230: Based on the construction process list, and according to the types and quantities of materials hoisted by all tower cranes within the set time period, a hierarchical analysis method is used to determine the construction process within the set time period, and the construction process under the number of floors of the current construction unit within the set time period is determined as the current construction progress of the building structure.

[0067] like Figure 4 As shown, the method for intelligently identifying the construction progress of a building structure of the present invention further includes the following steps:

[0068] Step 6: Intelligent identification of construction procedures. Specifically, in the structure construction procedure list F = {f j} range, with a fixed period T i As a unit, according to the fixed period T i All material types and quantities of all lifting operations are identified as corresponding processes using the analytic hierarchy process. j , recorded as (w i , T i , S i , f j ). i is the structural construction unit, S i The number of floors currently under construction.

[0069] For example, within the range of 0:00-24:00 on a certain day, the number of surveys of various materials within 24 hours is: M t ={(steel pipe, 5), (formwork, 15), (wood, 10), (other, 2)}; then sort in reverse order according to the lifting quantity M t ={(formwork, 15), (wood, 10), (steel pipe, 5), (others, 2)}; extract the lifting materials that account for more than 70% as {formwork, wood}; according to the main material information of each process in the process list F, identify the process to which this period belongs as: formwork installation.

[0070] For example: You can use Figure 5 The intelligent analysis module of the construction process shown in the figure organizes the list of main material types for tower crane lifting in structural construction M = {m j}. Image recognition artificial intelligence algorithm is used to classify the hoisted materials according to the monitoring screen and record them as (t j , p j , m j ). Arrange the structural construction process list F = {f j ,(m jk )}. Then, with a fixed period T i As a unit, according to the fixed period T i All material types and quantities of all lifting operations are identified as corresponding processes using the analytic hierarchy process. j . Record as (d i , T i , S i , f j ).like Figure 6 As shown, the construction process intelligent analysis module is generally an intelligent gateway device installed in the tower crane cockpit, which is connected to the hook video monitoring module through wires and transmits data to the functional progress reporting module wirelessly at regular intervals.

[0071] In some implementations, the method further includes: after identifying the construction progress of the building structure in step S130, reporting the determined construction progress of the building structure to a set client to record the construction progress of the building structure.

[0072] Step 7: Construction progress report. Specifically, according to (w i , T i , S i , f j ) Output the construction progress of each period, that is, the structural construction unit w i In a fixed period T i The number of layers currently under construction S i Structural construction process j , summarize the progress of all structural construction units and actively push it to relevant personnel and systems.

[0073] For example: You can use Figure 5 The construction progress reporting module shown in the figure establishes each tower crane d i With structural construction unit i The mapping relationship list {(d i , w i )}. According to (d i , T i , S i , f j ) and (d i , w i ) Output the construction progress of each period, that is, the structural construction unit w i In a fixed period T i The number of layers currently under construction S i Structural construction process j , after summarizing the progress of all construction units, it will be actively pushed to relevant personnel and systems. In this way, by adopting automatic data collection and automatic summary reporting according to the progress reporting requirements, the structural construction progress can be reported to support progress management. Figure 6 As shown, the construction progress reporting module is generally installed in the office computer room. It receives the data from the construction process intelligent analysis module and the construction floor analysis module on each tower crane wirelessly, summarizes the data, and pushes it to relevant personnel and systems.

[0074] For example: at a certain time period on a certain day, the formwork installation process for the 8th floor of Building 1 was under construction.

[0075] The solution of the present invention creatively integrates hook visualization, tower crane height monitoring and building static information according to the relationship between the tower crane and the building, and is used for automatic identification of the construction progress. In addition, in order to solve the problem that the progress needs to be manually entered, the data collected by the on-site Internet of Things equipment is creatively used to automatically analyze the construction progress of the building structure, reducing the workload of entering the progress information. Thus, the problem of large workload and relatively slow entry time for entering the construction progress is solved. By analyzing the construction progress according to the monitoring data of the tower crane, at least the workload of entering the construction progress can be reduced, and the timely entry of the construction progress can be guaranteed.

[0076] By adopting the technical solution of this embodiment, by installing sensors such as video monitoring, hook height, and tower crane operation status on the tower crane, the overall situation of the construction site and the operation of the tower crane can be monitored to obtain monitoring data. Based on the visualization data of the tower crane hook and the IoT monitoring data such as the tower crane hoisting height in the monitoring data, the construction progress of the building structure can be intelligently identified to assist construction management.

[0077] According to an embodiment of the present invention, a device for identifying the construction progress of a building structure corresponding to the method for identifying the construction progress of a building structure is also provided. Figure 3 The schematic diagram of the structure of an embodiment of the device of the present invention is shown. The building structure includes: N construction units, N is a positive integer. In each of the N construction units, a tower crane is provided. The device for identifying the construction progress of the building structure includes: a setting unit 102, an acquisition unit 104 and an identification unit 106.

[0078] The setting unit 102 is configured to establish a mapping relationship list between N tower cranes and N construction units, and determine a list of material types hoisted by the tower cranes in the building structure, and a list of construction procedures for the building structure. The specific functions and processing of the setting unit 102 refer to step S110. Specifically, a mapping relationship list {(d i , w i )}. And determine the list of material types that can be lifted by the tower crane in the building structure {m j}, and a construction process list of the building structure {f j ,m jk}. Among them, d i For tower crane, w i is the construction unit, m j is the material type, f j is the construction process; m jk For process f j The main materials used in the construction process are elements in M.

[0079] Figure 4The figure is a schematic diagram of the overall process of an embodiment of the intelligent identification device for building structure construction progress of the present invention. Figure 5 FIG. 1 is a schematic diagram of the structure of an embodiment of the intelligent identification device for building structure construction progress of the present invention. Figure 4 As shown, the intelligent identification device for building structure construction progress of the present invention comprises the following steps:

[0080] Step 1: Build each crane i With structural construction unit i The mapping relationship list {(d i , w i )}. And sort out the list of main material types hoisted by tower cranes during structural construction M = {m j}, sort out the structural construction process list F = {f j ,(m jk )}.

[0081] Among them, in the material type list, the material types include: precast concrete components, steel structure components, steel pipes, wood, formwork, and steel bars.

[0082] In the construction process list, the construction processes include: hoisting of precast concrete components, hoisting of steel structures, installation of steel bars, installation of formwork, and pouring of cast-in-place concrete.

[0083] In step 1, m j It is the main type of input materials, including precast concrete components, steel structure components, steel pipes, wood, formwork, steel bars, etc. j The input is the main structural construction process list including precast concrete component lifting, steel structure lifting, steel bar installation, formwork installation, cast-in-place concrete pouring, which may vary for each project.

[0084] For example: the mapping relationship of tower crane construction units is {(tower crane 1#, 1# building), (tower crane 2#, 2# building)}. The main material type list M = {precast concrete components, steel structure components, steel pipes, wood, formwork, steel bars, concrete, others}. The structural construction process list F = {(precast concrete component hoisting, (precast concrete components)), (steel structure hoisting, (steel structure components)), (steel bar installation, (steel bar)), (formwork installation, (steel pipes, formwork, wood)), (cast-in-place concrete pouring, (concrete))}.

[0085] The acquisition unit 104 is configured to acquire monitoring data of the N tower cranes in the N construction units. The monitoring data of each tower crane includes: the hoisting height data of the tower crane, and the hook video data of the tower crane. The specific functions and processing of the acquisition unit 104 refer to step S120.

[0086] A tower crane hoisting height monitoring module and a tower crane hook video monitoring module are provided at each of the tower cranes. The monitoring data of each tower crane includes: the hoisting height data of the tower crane monitored by the tower crane hoisting height monitoring module provided at the tower crane, and the hook video data of the tower crane monitored by the tower crane hook video monitoring module provided at the tower crane.

[0087] In some implementations, the acquisition unit 104 acquires the monitoring data of the N tower cranes in the N construction units, including the following two acquisition scenarios:

[0088] The first acquisition scenario: the acquisition unit 104 is further configured to acquire the height of each lifting operation of each tower crane and the completion time of the lifting operation of the tower crane, and record the height and completion time of each lifting operation of the tower crane as the lifting height data of the tower crane. Specifically, the height data of each lifting operation of each tower crane is acquired, and the lifting completion time of the tower crane is recorded as (te i ,h i ). Among them, h i is the lifting height data, te i The time when the lifting is completed.

[0089] like Figure 4 As shown, the intelligent identification device for building structure construction progress of the present invention further includes the following steps:

[0090] Step 2: Monitoring the lifting height of the tower crane hook. Specifically, for each tower crane d i , using distance sensors to monitor each tower crane i Each lifting height h i , and record the lifting completion time te i , recorded as (te i ,h i ).

[0091] For example: You can use Figure 5 The tower crane hoisting height monitoring module shown in the figure is for each tower crane d i , using distance sensors to monitor each tower crane i Each lifting height h i , and record the lifting completion time te i , recorded as (te i ,h i ). Figure 6 FIG. 2 is a schematic diagram of another embodiment of the intelligent identification device for building structure construction progress of the present invention. Figure 6 As shown, the tower crane hoisting height monitoring module is generally installed under the tower crane trolley and is used to measure the distance between the tower crane height and the hook height.

[0092] For example, when the material is unhooked (i.e. when the lifting is finished), the distance d between the hook and the tower crane boom is monitored by the distance sensor. i , and then through the tower crane boom height Hd i Calculate the material lifting height h i .

[0093] The second acquisition scenario: the acquisition unit 104 is specifically configured to obtain the time when the hook of each tower crane is at the highest height each time, and the monitoring picture within a set range below the tower crane at that time, and use the time and the monitoring picture as the hook video data of the tower crane.

[0094] like Figure 4 As shown, the intelligent identification device for building structure construction progress of the present invention further includes the following steps:

[0095] Step 4: The tower crane hook is adapted to the monitoring screen. Specifically, by installing video monitoring on the tower crane trolley, the maximum height time of each hook is recorded. j , monitoring screen below the tower crane j , recorded as (t j , p j ).

[0096] For example: You can use Figure 5 The hook video monitoring module shown is installed on the tower crane trolley to record the maximum height time of each hook. j , monitoring screen below the tower crane j , recorded as (t j , p j ).like Figure 6 As shown in the figure, the hook video monitoring module is generally installed under the tower crane trolley and is used to capture the real-time image directly below the hook. Clear images can be collected through automatic focusing.

[0097] At different times, the tower crane is in different states. For example: (8:05 on a certain day, p1).

[0098] The solution of the present invention provides an intelligent identification device for the construction progress of a building structure. The device can intelligently identify the construction progress of the building structure based on the visualization data of the tower crane hook and the Internet of Things monitoring data such as the tower crane lifting height, thereby reducing the workload of personnel input, ensuring accurate and timely input of the progress, and assisting construction management.

[0099] The identification unit 106 is configured to analyze the monitoring data of each tower crane based on the mapping relationship list, the material type list and the construction process list to identify the construction progress of the building structure. The specific functions and processing of the identification unit 106 refer to step S130.

[0100] The tower crane attached to the building structure is an important tool for vertical transportation of materials during the structural construction process. Generally, a construction unit will be equipped with a tower crane to cover the lifting of materials such as formwork, steel bars, concrete steel pipes, precast concrete components, steel structure components, etc. on each floor of the construction unit.

[0101] Among them, building structure refers to a system composed of various components (roof trusses, beams, slabs, columns, etc.) in house construction that can withstand various effects.

[0102] The tower crane is also the commanding height of the construction of building structures. By installing sensors such as video monitoring, hook height, and tower crane operating status on the tower crane, the overall situation on site and the operation of the tower crane can be monitored, and it is widely used. In the related scheme, there is no technology that integrates the monitoring data of these sensors and uses it to analyze the progress of the construction. In fact, the lifting height of the tower crane is directly related to the current structural construction height, and the materials lifted by the tower crane are directly related to the construction process of the building structure. Therefore, the scheme of the present invention provides an intelligent identification device for the construction progress of a building structure, which can accurately and intelligently identify the progress of the structure construction by analyzing the lifting height of the tower crane and visualizing the hook image.

[0103] In some implementations, the identification unit 106 analyzes the monitoring data of each tower crane based on the mapping relationship list, the material type list, and the construction process list to identify the construction progress of the building structure, including:

[0104] The identification unit 106 is further configured to determine the average value of the hoisting height data of all tower cranes within a set time period according to the hoisting height data in the monitoring data of each tower crane. And based on the mapping relationship list, combined with the height of each floor in all construction units, determine the number of floors of the current construction unit within the set time period. The specific functions and processing of the identification unit 106 refer to step S210.

[0105] like Figure 4 As shown, the intelligent identification device for building structure construction progress of the present invention further includes the following steps:

[0106] Step 3: Analysis of the number of layers currently under construction. Specifically, take a fixed period T i As a unit, calculate the fixed period T i The average value of all lifting heights h, and according to the structural height of each floor of the building {(S j , H j )}, j = 1-number of floors n, calculate the number of floors currently under construction S i , recorded as (T i , S i ). The specific method is: when h>H j And h <H j+1 , then Si =S j. ; For example, if the structure height is {(6,18), (7,21), (8,24)}, h = 21.4, then the current number of construction floors is S i =7.

[0107] For example: You can use Figure 5 The construction layer analysis module shown in the figure is based on a fixed time period T i As a unit, calculate the fixed period T i The average value of all lifting heights within the building, and the number of floors currently under construction S is calculated based on the structural height of each floor of the building i , recorded as (T i , S i ).like Figure 6 As shown, the construction layer analysis module is generally an intelligent gateway device installed in the tower crane cockpit, which is connected to the tower crane lifting height monitoring module through wires and transmits data to the functional progress reporting module regularly through wireless means.

[0108] For example: fixed period T i For a certain day, from 0:00 to 24:00, the average height of all lifts in one day is 28.54m. Figure 6 Take the building in the example shown as an example, the corresponding number of floors is 8. The record is (0:00-24:0, 8 on a certain day).

[0109] The identification unit 106 is further configured to identify the material types hoisted by all tower cranes within a set time period based on the material type list and the hook video data in the monitoring data of each tower crane using a convolutional neural network algorithm, and determine the number of different material types hoisted by all tower cranes within the set time period. The specific functions and processing of the identification unit 106 refer to step S220.

[0110] like Figure 4 As shown, the intelligent identification device for building structure construction progress of the present invention further includes the following steps:

[0111] Step 5: Intelligent classification of lifting materials. Specifically, in the structural construction, the main material types list M for tower crane lifting is j} range, using image recognition artificial intelligence algorithm, according to the maximum height time t j Monitoring screen below the tower crane j Classify the hoisted materials and record them as (t j , p j , m j ). In this way, by introducing the graphic recognition AI (artificial intelligence) algorithm, the lifting materials are automatically classified, the process identification is supported, and the construction progress is automatically analyzed.

[0112] For example, through the convolutional neural network algorithm, p1 is considered to be a steel pipe material, and it is recorded as (8:05 on a certain day, p1, steel pipe).

[0113] Specifically, the convolutional neural network algorithm is used to classify the hoisted materials according to the picture; the input is the visual snapshot of the hook, and the output is the material type. The training process mainly includes: the first step: training set collection, collecting 3,000 snapshots of the four-story structure construction of 5 projects for one month, involving various processes; the second step: training set labeling, manually classifying 15,000, marking the main hoisting materials, such as steel bars, wood, templates, etc.; the third step: training convolutional neural network: input the labeled training set data into the CNN network, and establish a classification convolutional neural network; use the open source CNN network algorithm; the fourth step: the newly collected monitoring screen is input into the trained CNN network to automatically identify the hoisted materials. For details, please refer to Figure 7 Example shown.

[0114] The identification unit 106 is further configured to determine the construction process within the set time period based on the construction process list and the type and quantity of materials hoisted by all tower cranes within the set time period using a hierarchical analysis method. The construction process under the number of floors of the current construction unit within the set time period is determined as the current construction progress of the building structure. The specific functions and processing of the identification unit 106 refer to step S230.

[0115] like Figure 4 As shown, the intelligent identification device for building structure construction progress of the present invention further includes the following steps:

[0116] Step 6: Intelligent identification of construction procedures. Specifically, in the structure construction procedure list F = {f j} range, with a fixed period T i As a unit, according to the fixed period T i All material types and quantities of all lifting operations are identified as corresponding processes using the analytic hierarchy process. j , recorded as (w i , T i , S i , f j ). i is the structural construction unit, S i The number of floors currently under construction.

[0117] For example, within the range of 0:00-24:00 on a certain day, the number of surveys of various materials within 24 hours is: M t ={(steel pipe, 5), (formwork, 15), (wood, 10), (other, 2)}; then sort in reverse order according to the lifting quantity M t={(formwork, 15), (wood, 10), (steel pipe, 5), (others, 2)}; extract the lifting materials that account for more than 70% as {formwork, wood}; according to the main material information of each process in the process list F, identify the process to which this period belongs as: formwork installation.

[0118] For example: You can use Figure 5 The intelligent analysis module of the construction process shown in the figure organizes the list of main material types for tower crane lifting in structural construction M = {m j}. Image recognition artificial intelligence algorithm is used to classify the hoisted materials according to the monitoring screen and record them as (t j , p j , m j ). Arrange the structural construction process list F = {f j}. Then, with a fixed period T i As a unit, according to the fixed period T i All material types and quantities of all lifting operations are identified as corresponding processes using the analytic hierarchy process. j . Record as (d i , T i , S i , f j ).like Figure 6 As shown, the construction process intelligent analysis module is generally an intelligent gateway device installed in the tower crane cockpit, which is connected to the hook video monitoring module through wires and transmits data to the functional progress reporting module wirelessly at regular intervals.

[0119] In some implementations, the identification unit 106 is further configured to report the determined construction progress of the building structure to a set client after identifying the construction progress of the building structure, so as to record the construction progress of the building structure.

[0120] Step 7: Construction progress report. Specifically, according to (w i , T i , S i , f j ) Output the construction progress of each period, that is, the structural construction unit w i In a fixed period T i The number of layers currently under construction S i Structural construction process j , summarize the progress of all structural construction units and actively push it to relevant personnel and systems.

[0121] For example: You can use Figure 5 The construction progress reporting module shown in the figure establishes each tower crane d i With structural construction unit i The mapping relationship list {(di , w i )}. According to (d i , T i , S i , f j ) and (d i , w i ) Output the construction progress of each period, that is, the structural construction unit w i In a fixed period T i The number of layers currently under construction S i Structural construction process j , after summarizing the progress of all construction units, it will be actively pushed to relevant personnel and systems. In this way, by adopting automatic data collection and automatic summary reporting according to the progress reporting requirements, the structural construction progress can be reported to support progress management. Figure 6 As shown, the construction progress reporting module is generally installed in the office computer room. It receives the data from the construction process intelligent analysis module and the construction floor analysis module on each tower crane wirelessly, summarizes the data, and pushes it to relevant personnel and systems.

[0122] For example: at a certain time period on a certain day, the formwork installation process for the 8th floor of Building 1 was under construction.

[0123] The solution of the present invention creatively integrates hook visualization, tower crane height monitoring and building static information according to the relationship between the tower crane and the building, and is used for automatic identification of the construction progress. In addition, in order to solve the problem that the progress needs to be manually entered, the data collected by the on-site Internet of Things equipment is creatively used to automatically analyze the construction progress of the building structure, reducing the workload of entering the progress information. Thus, the problem of large workload and relatively slow entry time for entering the construction progress is solved. By analyzing the construction progress according to the monitoring data of the tower crane, at least the workload of entering the construction progress can be reduced, and the timely entry of the construction progress can be guaranteed.

[0124] Since the processing and functions implemented by the device of this embodiment basically correspond to the embodiments, principles and examples of the aforementioned method, for the details not fully described in this embodiment, please refer to the relevant descriptions in the aforementioned embodiments, and no further elaboration will be made here.

[0125] By adopting the technical solution of the present invention, by installing sensors such as video monitoring, hook height, and tower crane operating status on the tower crane, the overall situation of the construction site and the tower crane operating status can be monitored to obtain monitoring data; based on the tower crane hook visualization data and the tower crane lifting height and other Internet of Things monitoring data in the monitoring data, the construction progress of the building structure can be intelligently identified; thus, by analyzing the construction progress based on the tower crane monitoring data, at least the workload of entering the construction progress can be reduced, and the timely entry of the construction progress can be guaranteed.

[0126] According to an embodiment of the present invention, a client corresponding to the device for identifying the construction progress of a building structure is also provided. The client may include: the device for identifying the construction progress of a building structure described above.

[0127] Since the processing and functions implemented by the client of this embodiment basically correspond to the embodiments, principles and examples of the aforementioned device, for the details not fully described in this embodiment, please refer to the relevant descriptions in the aforementioned embodiments and will not be repeated here.

[0128] By adopting the technical solution of the present invention, by installing sensors such as video monitoring, hook height, and tower crane operating status on the tower crane, the overall situation of the construction site and the operation status of the tower crane can be monitored to obtain monitoring data; based on the tower crane hook visualization data and tower crane lifting height and other Internet of Things monitoring data in the monitoring data, the progress of building structure construction can be intelligently identified, which can reduce the workload of personnel data entry and improve data entry efficiency.

[0129] According to an embodiment of the present invention, a storage medium corresponding to a method for identifying the construction progress of a building structure is also provided, wherein the storage medium includes a stored program, wherein when the program is running, the device where the storage medium is located is controlled to execute the above-mentioned method for identifying the construction progress of a building structure.

[0130] Since the processing and functions implemented by the storage medium of this embodiment basically correspond to the embodiments, principles and examples of the aforementioned method, for the details not fully described in this embodiment, please refer to the relevant descriptions in the aforementioned embodiments, and no further elaboration will be made here.

[0131] By adopting the technical solution of the present invention, by installing sensors such as video monitoring, hook height, and tower crane operating status on the tower crane, the overall situation of the construction site and the operation status of the tower crane can be monitored to obtain monitoring data; based on the tower crane hook visualization data and tower crane lifting height and other Internet of Things monitoring data in the monitoring data, the progress of the building structure construction can be intelligently identified, which can ensure accurate and timely entry of the progress and improve the reliability of the entry.

[0132] In summary, it is easy for those skilled in the art to understand that, under the premise of no conflict, the above-mentioned advantageous methods can be freely combined and superimposed.

[0133] The above description is only an embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent substitution, improvement, etc. made within the spirit and principle of the present invention shall be included in the scope of the claims of the present invention.

Claims

1. A method for identifying the construction progress of a building structure, characterized in that: The building structure comprises: N construction units, where N is a positive integer; a tower crane is arranged in each of the N construction units; and the method for identifying the construction progress of the building structure comprises: Establish a mapping relationship list between N tower cranes and N construction units, and determine a list of material types hoisted by the tower cranes in the building structure, and a list of construction procedures for the building structure; specifically, establish a mapping relationship list between N tower cranes and N construction units {(d i , w i )}, and determine the list of material types M for crane lifting in the building structure = {m j }, and a construction process list of the building structure {(f j ,(m jk ))}; where d i For tower crane, w i is the construction unit, m j is the material type, f j is the construction process; m jk For process f j The main materials used in the construction process are elements in M; Acquire monitoring data of N tower cranes in the N construction units; wherein the monitoring data of each tower crane includes: the hoisting height data of the tower crane, and the hook video data of the tower crane; specifically, acquire the height data of each hoisting of each tower crane, and record the hoisting completion time of the tower crane, which is recorded as (te i ,h i ), h i is the lifting height data, te i is the time when the lifting is completed; by installing video monitoring on the tower crane trolley, the maximum height time of each hook is recorded t j , monitoring screen below the tower crane j , recorded as (t j , p j ); The tower crane is in different states at different times; by installing sensors for video surveillance, hook height, and tower crane operation status on the tower crane, the overall situation on site and the operation of the tower crane can be monitored; Based on the mapping relationship list, the material type list and the construction process list, the monitoring data of each tower crane is analyzed to identify the construction progress of the building structure; specifically, the construction layer number analysis module is used to analyze the construction progress of the building structure in a fixed time period T i As a unit, calculate the fixed period T i The average value of all lifting heights h, and according to the structural height of each floor of the building {(S j , H j )}, j = 1-number of floors n, calculate the number of floors currently under construction S i , recorded as (T i , S i ); The construction layer analysis module is an intelligent gateway device installed in the tower crane cockpit, which is connected to the tower crane lifting height monitoring module through wires, and transmits data to the functional progress reporting module regularly through wireless means; Using the intelligent analysis module of construction process, in the structure construction process list F = {f j } range, with a fixed period T i As a unit, according to the fixed period T i All material types and quantities of all lifting operations are identified as corresponding processes using the analytic hierarchy process. j , recorded as (w i , T i , S i , f j ), w i is the structural construction unit, S i The number of floors currently under construction; the construction process intelligent analysis module, an intelligent gateway device installed in the tower crane cockpit, is connected to the hook video monitoring module via wires, and transmits data to the functional progress reporting module regularly via wireless means; Using the construction progress reporting module, according to (w i , T i , S i , f j ) Output the construction progress of each period, that is, the structural construction unit w i In a fixed period T i The number of layers currently under construction S i Structural construction process j , and actively push the progress of all structural construction units to relevant personnel and systems after summarizing them; the construction progress reporting module is installed in the office computer room, and wirelessly receives the data from the construction process intelligent analysis module and the construction floor analysis module on each tower crane, and pushes the data to relevant personnel and systems after summarizing the data.

2. The method for identifying the construction progress of a building structure according to claim 1, characterized in that: in, In the material type list, the material types include: precast concrete components, steel structure components, steel pipes, wood, formwork, and steel bars; In the construction process list, the construction process includes: precast concrete component hoisting, steel structure hoisting, steel bar installation, formwork installation, and cast-in-place concrete pouring; and / or, At each of the tower cranes, a tower crane hoisting height monitoring module and a tower crane hook video monitoring module are provided; the monitoring data of each tower crane includes: the hoisting height data of the tower crane monitored by the tower crane hoisting height monitoring module provided at the tower crane; and the hook video data of the tower crane monitored by the tower crane hook video monitoring module provided at the tower crane; Acquiring monitoring data of N tower cranes in the N construction units, including: Obtain the lifting height of each tower crane at each time and the completion time of the lifting by the tower crane, and record the lifting height and completion time of each tower crane as the lifting height data of the tower crane; The time when the hook of each tower crane is at the highest height each time and the monitoring picture within a set range below the tower crane at that time are obtained, and the time and the monitoring picture are used as the hook video data of the tower crane.

3. The method for identifying the construction progress of a building structure according to claim 1, characterized in that: Based on the mapping relationship list, the material type list and the construction process list, the monitoring data of each tower crane is analyzed to identify the construction progress of the building structure, including: According to the hoisting height data in the monitoring data of each tower crane, the average value of the hoisting height data of all tower cranes in a set time period is determined; and based on the mapping relationship list, combined with the heights of each floor in all construction units, the number of floors of the current construction unit in the set time period is determined; Based on the material type list, according to the hook video data in the monitoring data of each tower crane, using a convolutional neural network algorithm, identify the material types hoisted by all tower cranes within a set time period, and determine the number of different material types hoisted by all tower cranes within the set time period; Based on the construction process list, according to the types and quantities of materials hoisted by all tower cranes within the set time period, the hierarchical analysis method is used to determine the construction processes within the set time period; and the construction processes under the number of floors of the current construction unit within the set time period are determined as the current construction progress of the building structure.

4. The method for identifying the construction progress of a building structure according to any one of claims 1 to 3, characterized in that: Also includes: After identifying the construction progress of the building structure, the determined construction progress of the building structure is reported to a set client to achieve recording of the construction progress of the building structure.

5. A device for identifying the construction progress of a building structure, characterized in that: The building structure comprises: N construction units, where N is a positive integer; a tower crane is arranged in each of the N construction units; and the identification device for the construction progress of the building structure comprises: The setting unit is configured to establish a mapping relationship list between N tower cranes and N construction units, and determine a list of material types hoisted by the tower cranes in the building structure, and a list of construction procedures for the building structure; specifically, establish a mapping relationship list between N tower cranes and N construction units {(d i , w i )}, and determine the type of materials to be hoisted by the tower crane in the building structure M = {m j }, and a list of construction procedures for the building structure {(f j ,(m jk ))}; where d i For tower crane, w i is the construction unit, m j is the material type, f j is the construction process; m jk For process f j The main materials used in the construction process are elements in M; The acquisition unit is configured to acquire the monitoring data of the N tower cranes in the N construction units; wherein the monitoring data of each tower crane includes: the lifting height data of the tower crane, and the hook video data of the tower crane; specifically, the height data of each lifting of each tower crane is acquired, and the lifting completion time of the tower crane is recorded as (te i ,h i ), h i is the lifting height data, te i is the time when the lifting is completed; by installing video monitoring on the tower crane trolley, the maximum height time of each hook is recorded t j , monitoring screen below the tower crane j , recorded as (t j , p j ); The tower crane is in different states at different times; by installing sensors for video surveillance, hook height, and tower crane operation status on the tower crane, the overall situation on site and the operation status of the tower crane can be monitored; The identification unit is configured to analyze the monitoring data of each tower crane based on the mapping relationship list, the material type list and the construction process list to identify the construction progress of the building structure; specifically, using the construction layer number analysis module, with a fixed time period T i As a unit, calculate the fixed period T i The average value of all lifting heights h, and according to the structural height of each floor of the building {(S j , H j )}, j = 1-number of floors n, calculate the number of floors currently under construction S i , recorded as (T i , S i ); The construction layer analysis module is an intelligent gateway device installed in the tower crane cockpit, which is connected to the tower crane lifting height monitoring module through wires, and transmits data to the functional progress reporting module regularly through wireless means; Using the intelligent analysis module of construction process, in the structure construction process list F = {f j } range, with a fixed period T i As a unit, according to the fixed period T i All material types and quantities of all lifting operations are identified as corresponding processes using the analytic hierarchy process. j , recorded as (w i , T i , S i , f j ), w i is the structural construction unit, S i The number of floors currently under construction; the construction process intelligent analysis module, an intelligent gateway device installed in the tower crane cockpit, is connected to the hook video monitoring module via wires, and transmits data to the functional progress reporting module regularly via wireless means; Using the construction progress reporting module, according to (w i , T i , S i , f j ) Output the construction progress of each period, that is, the structural construction unit w i In a fixed period T i The number of layers currently under construction S i Structural construction process j , and actively push the progress of all structural construction units to relevant personnel and systems after summarizing them; the construction progress reporting module is installed in the office computer room, and wirelessly receives the data from the construction process intelligent analysis module and the construction floor analysis module on each tower crane, and pushes the data to relevant personnel and systems after summarizing the data.

6. The device for identifying the construction progress of a building structure according to claim 5, characterized in that: in, In the material type list, the material types include: precast concrete components, steel structure components, steel pipes, wood, formwork, and steel bars; In the construction process list, the construction process includes: precast concrete component hoisting, steel structure hoisting, steel bar installation, formwork installation, and cast-in-place concrete pouring; and / or, At each of the tower cranes, a tower crane hoisting height monitoring module and a tower crane hook video monitoring module are provided; the monitoring data of each tower crane includes: the hoisting height data of the tower crane monitored by the tower crane hoisting height monitoring module provided at the tower crane; and the hook video data of the tower crane monitored by the tower crane hook video monitoring module provided at the tower crane; The acquisition unit acquires the monitoring data of the N tower cranes in the N construction units, including: Obtain the lifting height of each tower crane at each time and the completion time of the lifting by the tower crane, and record the lifting height and completion time of each tower crane as the lifting height data of the tower crane; The time when the hook of each tower crane is at the highest height each time and the monitoring picture within a set range below the tower crane at that time are obtained, and the time and the monitoring picture are used as the hook video data of the tower crane.

7. The device for identifying the construction progress of a building structure according to claim 5, characterized in that: The identification unit analyzes the monitoring data of each tower crane based on the mapping relationship list, the material type list and the construction process list to identify the construction progress of the building structure, including: According to the hoisting height data in the monitoring data of each tower crane, the average value of the hoisting height data of all tower cranes in a set time period is determined; and based on the mapping relationship list, combined with the heights of each floor in all construction units, the number of floors of the current construction unit in the set time period is determined; Based on the material type list, according to the hook video data in the monitoring data of each tower crane, using a convolutional neural network algorithm, identify the material types hoisted by all tower cranes within a set time period, and determine the number of different material types hoisted by all tower cranes within the set time period; Based on the construction process list, according to the types and quantities of materials hoisted by all tower cranes within the set time period, the hierarchical analysis method is used to determine the construction processes within the set time period; and the construction processes under the number of floors of the current construction unit within the set time period are determined as the current construction progress of the building structure.

8. The device for identifying the construction progress of a building structure according to any one of claims 5 to 7, characterized in that: Also includes: The identification unit is further configured to report the determined construction progress of the building structure to a set client after identifying the construction progress of the building structure, so as to record the construction progress of the building structure.

9. A client, characterized in that: include: A device for identifying the construction progress of a building structure as claimed in any one of claims 5 to 8.

10. A storage medium, characterized in that: The storage medium includes a stored program, wherein when the program is executed, the device where the storage medium is located is controlled to execute the method for identifying the construction progress of a building structure according to any one of claims 1 to 4.

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