CN113971781A - Building structure construction progress identification method and device, client and storage medium - Google Patents

Building structure construction progress identification method and device, client and storage medium Download PDF

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CN113971781A
CN113971781A CN202111470749.9A CN202111470749A CN113971781A CN 113971781 A CN113971781 A CN 113971781A CN 202111470749 A CN202111470749 A CN 202111470749A CN 113971781 A CN113971781 A CN 113971781A
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tower crane
construction
building structure
tower
list
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余芳强
张铭
辛佩康
曹强
许璟琳
赵震
谷志旺
仇春华
黄轶
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Shanghai Construction No 4 Group Co Ltd
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Abstract

The invention discloses a method, a device, a client and a storage medium for identifying construction progress of a building structure, wherein the method comprises the following steps: establishing a mapping relation list between N tower cranes and N construction units, and determining a material type list lifted by a tower crane in a building structure and a construction process list of the building structure; acquiring monitoring data of N tower cranes in N construction units; wherein, the monitoring data of every tower crane includes: the lifting height data of the tower crane and the video data of the lifting hook of the tower crane; and analyzing the monitoring data of each tower crane based on the mapping relation list, the material type list and the construction process list, and identifying the construction progress of the building structure. According to the scheme, the construction progress is analyzed through the monitoring data according to the tower crane, the input workload of the construction progress can be reduced, and the timely input of the construction progress is guaranteed.

Description

Building structure construction progress identification method and device, client and storage medium
Technical Field
The invention belongs to the technical field of intelligent construction, and particularly relates to a method and a device for identifying the construction progress of a building structure, a client and a storage medium, in particular to a method and a device for intelligently identifying the construction progress of the building structure, a client and a storage medium.
Background
The identification and collection of the actual construction progress are important and basic work of construction management. However, due to the fact that the construction site progress changes, the input workload is large, the input of the site construction progress is often lagged, and the construction progress, the quality and the cost management and control are seriously influenced.
The above is only for the purpose of assisting understanding of the technical aspects of the present invention, and does not represent an admission that the above is prior art.
Disclosure of Invention
The invention aims to provide a method and a device for identifying the construction progress of a building structure, a client and a storage medium, so as to solve the problems of large input workload and relatively long input time of the construction progress, analyze the construction progress according to the monitoring data of a tower crane, at least reduce the input workload of the construction progress and ensure the effect of timely input of the construction progress.
The invention provides a method for identifying construction progress of a building structure, wherein the building structure comprises the following steps: n construction units, wherein N is a positive integer; each construction unit in the N construction units is provided with a tower crane; the identification method of the construction progress of the building structure comprises the following steps: establishing a mapping relation list between N tower cranes and N construction units, and determining a material type list lifted by a tower crane in the building structure and a construction process list of the building structure; acquiring monitoring data of N tower cranes in the N construction units; wherein, the monitoring data of every tower crane includes: the lifting height data of the tower crane and the video data of a lifting hook of the tower crane; and analyzing the monitoring data of each tower crane based on the mapping relation list, the material type list and the construction process list, and identifying the construction progress of the building structure.
In some embodiments, wherein in the list of material types, the material type comprises: prefabricating a concrete member, a steel structure member, a steel pipe, battens, a template and reinforcing steel bars; in the construction process list, the construction process includes: hoisting a precast concrete member, hoisting a steel structure, installing a steel bar, installing a template and pouring concrete in situ; and/or a tower crane lifting height monitoring module and a tower crane lifting hook video monitoring module are arranged at each tower crane; the monitoring data of every tower crane includes: monitoring the lifting height data of the tower crane through a tower crane lifting height monitoring module arranged at the tower crane; monitoring the video data of the lifting hook of the tower crane through a video monitoring module of the lifting hook of the tower crane arranged at the tower crane; acquiring monitoring data of N tower cranes in the N construction units, wherein the data comprises the following steps: acquiring the lifting height of each tower crane and the lifting completion time of the tower crane, and recording the lifting height and the lifting completion time of the tower crane as lifting height data of the tower crane; and acquiring the time of each tower crane at the highest height of the lifting hook each time and a monitoring picture within a set range below the tower crane at the time, and taking the time and the monitoring picture as the video data of the lifting hook of the tower crane.
In some embodiments, analyzing the monitoring data of each tower crane based on the mapping relationship list, the material type list and the construction process list, and identifying the construction progress of the building structure comprises: determining the average value of the lifting height data of all tower cranes within a set time period according to the lifting height data in the monitoring data of each tower crane; determining the floor number of the current construction unit in a set time period by combining the heights of all floors in all construction units based on the mapping relation list; based on the material type list, identifying the material types of all tower cranes lifted in a set time period by using a convolutional neural network algorithm according to the lifting hook video data in the monitoring data of each tower crane, and determining the number of different material types lifted by all tower cranes in the set time period; determining the construction process within the set time period by adopting an analytic hierarchy process according to the types and the number of the materials hoisted by all the tower cranes within the set time period based on the construction process list; and determining the construction process under the floor number of the current construction unit in the set time period as the current construction progress of the building structure.
In some embodiments, further comprising: and after the construction progress of the building structure is identified, reporting the determined construction progress of the building structure to a set client to record the construction progress of the building structure.
In accordance with the above method, another aspect of the present invention provides an apparatus for identifying a construction progress of a building structure, the building structure including: n construction units, wherein N is a positive integer; each construction unit in the N construction units is provided with a tower crane; the recognition device of building structure construction progress includes: the system comprises a setting unit, a construction unit and a control unit, wherein the setting unit is configured to establish a mapping relation list between N tower cranes and N construction units, and determine a material type list lifted by the tower cranes in the building structure and a construction procedure list of the building structure; the acquisition unit is configured to acquire monitoring data of N tower cranes in the N construction units; wherein, the monitoring data of every tower crane includes: the lifting height data of the tower crane and the video data of a lifting hook of the tower crane; and the identification unit is configured to analyze the monitoring data of each tower crane based on the mapping relation list, the material type list and the construction process list, and identify the construction progress of the building structure.
In some embodiments, wherein in the list of material types, the material type comprises: prefabricating a concrete member, a steel structure member, a steel pipe, battens, a template and reinforcing steel bars; in the construction process list, the construction process includes: hoisting a precast concrete member, hoisting a steel structure, installing a steel bar, installing a template and pouring concrete in situ; and/or a tower crane lifting height monitoring module and a tower crane lifting hook video monitoring module are arranged at each tower crane; the monitoring data of every tower crane includes: monitoring the lifting height data of the tower crane through a tower crane lifting height monitoring module arranged at the tower crane; monitoring the video data of the lifting hook of the tower crane through a video monitoring module of the lifting hook of the tower crane arranged at the tower crane; the acquisition unit acquires the monitoring data of N tower cranes in N construction units, and the acquisition unit comprises: acquiring the lifting height of each tower crane and the lifting completion time of the tower crane, and recording the lifting height and the lifting completion time of the tower crane as lifting height data of the tower crane; and acquiring the time of each tower crane at the highest height of the lifting hook each time and a monitoring picture within a set range below the tower crane at the time, and taking the time and the monitoring picture as the video data of the lifting hook of the tower crane.
In some embodiments, the identifying unit analyzes the monitoring data of each tower crane based on the mapping relation list, the material type list and the construction process list, and identifies 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 according to the lifting height data in the monitoring data of each tower crane; determining the floor number of the current construction unit in a set time period by combining the heights of all floors in all construction units based on the mapping relation list; based on the material type list, identifying the material types of all tower cranes lifted in a set time period by using a convolutional neural network algorithm according to the lifting hook video data in the monitoring data of each tower crane, and determining the number of different material types lifted by all tower cranes in the set time period; determining the construction process within the set time period by adopting an analytic hierarchy process according to the types and the number of the materials hoisted by all the tower cranes within the set time period based on the construction process list; and determining the construction process under the floor number of the current construction unit in the set time period as the current construction progress of the building structure.
In some embodiments, further comprising: the identification unit is further configured to report the determined construction progress of the building structure to a setting client after identifying the construction progress of the building structure, so as to record the construction progress of the building structure.
In match with the above apparatus, a further aspect of the present invention provides a client, including: the above device for identifying the construction progress of the building structure.
In accordance with the above method, a further aspect of the present invention provides a storage medium, where the storage medium includes a stored program, and when the program runs, the apparatus where the storage medium is located is controlled to execute the above method for identifying the construction progress of the building structure.
Therefore, according to the scheme of the invention, sensors such as video monitoring sensors, lifting hook height sensors, tower crane operation state sensors and the like are arranged on the tower crane, so that the overall situation of a construction site and the tower crane operation situation can be monitored, and monitoring data can be obtained; intelligently identifying the construction progress of the building structure according to the visual data of the tower crane hook, the lifting height of the tower crane and other monitoring data of the Internet of things in the monitoring data; therefore, the construction progress is analyzed through the monitoring data according to the tower crane, the input workload of the construction progress can be reduced at least, and the construction progress can be ensured to be input in time.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention.
The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.
Drawings
Fig. 1 is a schematic flow chart illustrating an embodiment of a method for identifying a construction progress of a building structure according to the present invention;
FIG. 2 is a schematic flow chart illustrating one embodiment of identifying the progress of construction of the building structure in the method of the present invention;
fig. 3 is a schematic structural view of an embodiment of the apparatus for identifying a construction progress of a building structure according to the present invention;
FIG. 4 is a schematic overall flow chart of an embodiment of the intelligent identification method for construction progress of a building structure according to the present invention;
FIG. 5 is a schematic structural diagram of an embodiment of an intelligent identification apparatus for construction progress of a building structure according to the present invention;
fig. 6 is a schematic structural diagram of another embodiment of the intelligent identification device for construction progress of a building structure of the invention;
fig. 7 is a schematic diagram of a tower crane visual monitoring image (concrete material).
The reference numbers in the embodiments of the present invention are as follows, in combination with the accompanying drawings:
102-a setting unit; 104-an obtaining unit; 106-identification unit.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the technical solutions of the present invention will be clearly and completely described below with reference to the specific embodiments of the present invention and the accompanying drawings. It is to be understood that the described embodiments are merely exemplary of the invention, and not restrictive of the full scope of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
According to an embodiment of the present invention, a method for identifying a construction progress of a building structure is provided, as shown in fig. 1, which is a schematic flow chart of an embodiment of the method of the present invention. The building structure, comprising: n construction units, wherein N is a positive integer. And each construction unit in the N construction units is provided with a tower crane. The identification method of the construction progress of the building structure comprises the following steps: step S110 to step S130.
In step S110, a mapping relationship list between N tower cranes and N construction units is established, and a material type list lifted by a tower crane in the building structure and a construction process list of the building structure are determined. Specifically, establishing a mapping relation list between N tower cranes and N construction units { (d)i，wi)}. And determining a material type list M ═ M of the tower crane in the building structurejAnd a construction process list of the building structure { (f)j,(mjk))}. Wherein d isiIs a tower crane, wiFor construction unit, mjIs the type of material, fjIs a construction process; m isjkIs a process fjThe main material in the construction process is M medium element.
Fig. 4 is a schematic overall flow chart of an embodiment of the intelligent identification method for the construction progress of the building structure according to the present invention. Fig. 5 is a schematic structural diagram of an embodiment of the intelligent identification device for construction progress of a building structure according to the present invention. As shown in fig. 4, the intelligent identification method for the construction progress of the building structure comprises the following steps:
step 1: establishing each tower crane diAnd a structural construction unit wiList of mapping relationships of (d { (d)i，wi)}. And arranging a main material type list M ═ M of tower crane hoisting in the structure constructionjF, arranging a structure construction process listj,(mjk)}。
Wherein, in the bill of material types, the material types include: precast concrete member, steel structural member, steel pipe, flitch, template, reinforcing bar.
In the construction process list, the construction process includes: hoisting a precast concrete member, hoisting a steel structure, installing reinforcing steel bars, installing a template and pouring concrete in situ.
In step 1, mjThe main material types are input, and comprise precast concrete members, steel structural members, steel pipes, battens, templates, reinforcing steel bars and the like. f. ofjIs the main structure constructor of inputPreface list precast concrete member hoist and mount, steel construction hoist and mount, reinforcing bar installation, template installation, cast-in-place concrete pouring, include, every project probably differs.
Such as: the tower crane construction unit mapping relation { (tower crane 1#, floor 1 #), (tower crane 2#, floor 2) }. The main material type list M ═ precast concrete members, steel structural members, steel pipes, flitch, formwork, steel bars, concrete, and others. The structural construction process list F { (precast concrete member hoisting, (precast concrete member)), (steel structure hoisting, (steel structural member)), (steel bar installation, (steel bar)), (formwork installation, (steel pipe, formwork, and flitch)), (cast-in-place concrete casting, (concrete)) }.
In step S120, the monitoring data of N tower cranes in the N construction units is acquired. Wherein, the monitoring data of every tower crane includes: the lifting height data of the tower crane and the lifting hook video data of the tower crane.
And each tower crane is provided with a tower crane lifting height monitoring module and a tower crane lifting hook video monitoring module. The monitoring data of every tower crane includes: and the monitored lifting height data of the tower crane is obtained through a tower crane lifting height monitoring module arranged at the tower crane. And the monitored lifting hook video data of the tower crane are obtained through a tower crane lifting hook video monitoring module arranged at the tower crane.
In the step S120, acquiring the monitoring data of the N tower cranes in the N construction units includes the following two acquiring situations:
the first acquisition scenario: and acquiring the height of each tower crane in each lifting and the finish time of the tower crane in each lifting, and recording the height and the finish time of each lifting of the tower crane as the lifting height data of the tower crane. Specifically, height data of each tower crane in each lifting process is obtained, and lifting completion time of the tower crane is recorded as (te)i，hi). Wherein h isiFor lifting height data, teiThe hoisting completion time.
As shown in fig. 4, the method for intelligently identifying the construction progress of the building structure further comprises the following steps:
step 2: and monitoring the lifting height of the tower crane lifting hook. Specifically, for each tower crane diAnd monitoring each tower crane d by adopting a distance sensoriHeight h of each liftingiAnd recording the time te of completion of the hoistingiRecorded as (te)i，hi)。
For example: the tower crane lifting height monitoring module shown in fig. 5 can be utilized for each tower crane diAnd monitoring each tower crane d by adopting a distance sensoriHeight h of each liftingiAnd recording the time te of completion of the hoistingiRecorded as (te)i，hi). Fig. 6 is a schematic structural diagram of another embodiment of the intelligent identification device for construction progress of a building structure of the present invention. As shown in FIG. 6, the tower crane lifting height monitoring module is generally installed below a tower crane trolley and used for measuring the distance between the height of the tower crane and the height of a lifting hook.
Such as: when the material is unhooked (namely the hoisting is finished) is monitored by a distance sensor, the distance d between the lifting hook and the tower crane boomiThen the height H-d of the suspension arm of the tower crane is passediCalculating the lifting height h of the materiali。
The second acquisition scenario: and acquiring the time of each tower crane at the highest height of the lifting hook each time and a monitoring picture within a set range below the tower crane at the time, and taking the time and the monitoring picture as the video data of the lifting hook of the tower crane.
As shown in fig. 4, the method for intelligently identifying the construction progress of the building structure further comprises the following steps:
and 4, step 4: and (5) adapting the monitoring picture to the tower crane hook. Specifically, the video monitoring is installed on the tower crane trolley, and the time t of the highest height of the lifting hook at each time is recordedjMonitoring picture p below tower cranejIs recorded as (t)j，pj)。
For example: the lifting hook video monitoring module shown in fig. 5 can be utilized and installed on a tower crane trolley, and the time t of the highest height of the lifting hook at each time is recordedjMonitoring picture p below tower cranejIs recorded as (t)j，pj). As shown in FIG. 6, the hook video monitoring module is generally installed on the tower craneAnd the under-vehicle real-time picture is used for the real-time picture under the lifting hook. The collection of the clear picture is realized through automatic focusing.
At different times, the tower crane is in different states. Such as: (8: 05, p on a certain day)1)。
According to the scheme, the building structure construction progress is intelligently identified according to the visual data of the tower crane lifting hook, the lifting height of the tower crane and other Internet of things monitoring data, the personnel input workload is reduced, the progress is accurately and timely input, and construction management is assisted.
In step S130, 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 tower crane attached to a building structure is an important tool for vertical transportation of materials in the construction process of the structure. A tower crane is generally installed in a construction unit to cover the hoisting of materials such as templates, steel bars, concrete steel pipes, precast concrete members and steel structural members of all floors of the construction unit.
The building structure is a system that can withstand various actions and is composed of various members (roof trusses, beams, plates, columns, and the like) in a house building.
The tower crane is also a height control point for building structure construction, and the sensors such as video monitoring, height of a lifting hook, running state of the tower crane and the like are arranged on the tower crane, so that the overall situation of a site and the running situation of the tower crane can be monitored, and the application is wide. In the related scheme, no technology is used for fusing the monitoring data of the sensors and analyzing the construction progress. In fact, the hoisting height of the tower crane is directly related to the construction height of the current structure, and the material hoisted by the tower crane is directly related to the construction process of the building structure. Therefore, the scheme of the invention provides the intelligent identification method for the construction progress of the building structure, and the construction progress condition of the structure can be accurately and intelligently identified through analyzing the hoisting height of the tower crane and identifying the visual image of the lifting hook.
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, and a specific process of the construction progress of the building structure is identified, see the following exemplary description.
The following further describes, with reference to a flowchart of an embodiment of identifying the construction progress of the building structure in the method of the present invention shown in fig. 2, a specific process of identifying the construction progress of the building structure in step S130, including: step S210 to step S230.
And S210, determining an average value of the lifting height data of all tower cranes in a set time period according to the lifting height data in the monitoring data of each tower crane. And determining the floor number of the current construction unit in a set time period by combining the heights of all floors in all construction units based on the mapping relation list.
As shown in fig. 4, the method for intelligently identifying the construction progress of the building structure further comprises the following steps:
and step 3: and analyzing the current construction layer number. In particular, with a fixed period of time TiAs a unit, a fixed period T is calculatediThe average value h of all hoisting heights in the building is determined according to the structural height of each floor of the building (S)j，Hj) 1-floor number n, calculating the current construction floor number SiIs recorded as (T)i，Si). The specific method comprises the following steps: when h is generated>HjAnd h is<Hj+1Then S isi＝Sj.(ii) a For example, if the structural height { (6,18), (7,21), (8,24) }, h is 21.4, the current construction floor number S isi＝7。
For example: the construction layer number analyzing module shown in fig. 5 may be used to fix the period TiAs a unit, a fixed period T is calculatediThe average value of all hoisting heights in the building is calculated, and the number S of the currently constructed floors is calculated according to the structural height of each floor of the buildingiIs recorded as (T)i，Si). As shown in figure 6, the construction layer number analysis module is generally an intelligent gateway device installed in a tower crane cockpit, is connected with a tower crane lifting height monitoring module through a wire, and periodically transmits data to a function progress reporting module in a wireless mode.
Such as: fixed time period TiCalculating the average value of all the lifting heights in a day to be 28.54m for 0:00-24:00 of a certain day, taking the building in the example shown in figure 6 as an example, and the corresponding number of layers is 8. Recorded as (0: 00-24:0, 8 on a certain day).
And S220, identifying the material types lifted by all tower cranes in a set time period by using a convolutional neural network algorithm according to the hook video data in the monitoring data of each tower crane based on the material type list, and determining the number of different material types lifted by all tower cranes in the set time period.
As shown in fig. 4, the method for intelligently identifying the construction progress of the building structure further comprises the following steps:
and 5: and intelligently classifying the hoisting materials. Specifically, a main material type list M ═ M of tower crane hoisting in structure constructionjWithin the range, adopting an image recognition artificial intelligence algorithm according to the time t of the highest height of the lifting hookjMonitoring picture p below tower cranejThe handling material is classified and recorded as (t)j，pj，mj). Therefore, the classification of the hoisting materials is automatically carried out by introducing an AI (artificial intelligence) algorithm, the process identification is supported, and the construction progress is automatically analyzed.
Such as: by a convolutional neural network algorithm, consider p1Is a steel pipe material and is marked as (8: 05, p on a certain day)1Steel pipe).
Specifically, a convolutional neural network algorithm is adopted to classify the hoisting materials according to the picture; the input is a picture shot by the visual hook, and the output is a material type. The training process mainly comprises the following steps: the first step is as follows: collecting training sets, collecting 3000 snap-shot photos of four-layer structure construction of 1 month in 5 projects, and relating to each process; the second step is that: training set marking, manually classifying 15000, and marking main materials for hoisting, such as steel bars, battens, templates and the like; the third step: training a convolutional neural network: inputting the marked training set data into a CNN network, and establishing a classified convolutional neural network; adopting an open source CNN network algorithm; a fourth step of: the newly collected monitoring picture is input into the trained CNN network, and the hoisted material is automatically identified, which may specifically refer to the example shown in fig. 7.
And step S230, based on the construction process list, determining the construction process within the set time period by adopting an analytic hierarchy process according to the types and the number of the materials hoisted by all the tower cranes within the set time period. And determining the construction process under the floor number of the current construction unit in the set time period as the current construction progress of the building structure.
As shown in fig. 4, the method for intelligently identifying the construction progress of the building structure further comprises the following steps:
step 6: and intelligently identifying the construction process. Specifically, in the structure construction process list F ═ { F ═ FjWithin the range of a fixed period of time TiIn units of a fixed time period TiAll the material types and the quantity of all the hoisted materials are identified as corresponding working procedures f by adopting an analytic hierarchy processjIs recorded as (w)i，Ti，Si，fj)。wiFor structural construction units, SiThe number of layers currently constructed is shown.
For example, for a day in the range of 0:00-24:00, and for a statistical range of 24h, the number of research on various materials is: mt{ (steel pipe, 5), (template, 15), (flitch, 10), (others, 2) }; then sorting M in a reverse order according to the handling quantityt{ (template, 15), (flitch, 10), (steel pipe, 5), (others, 2) }; extracting a hoisting material accounting for more than 70% of the total weight of the hoisting material as a template and a batten; according to the main material information of each process in the process list F, identifying the process belonging to the time period as follows: and (6) installing the template.
For example: the construction procedure intelligent analysis module shown in fig. 5 can be utilized to arrange the main material type list M ═ M of the tower crane hoisting in the structure constructionj}. Adopting an image recognition artificial intelligence algorithm, classifying the lifted materials according to the monitoring picture, and recording as (t)j，pj，mj). The list F ═ F of the construction procedures for the finished structurej,(mjk)}. Then for a fixed period of time TiIn units of a fixed time period TiAll material types handledAnd the amount of the corresponding process f identified by the analytic hierarchy processj. Is recorded as (d)i，Ti，Si，fj). As shown in fig. 6, the intelligent analysis module for construction process is generally an intelligent gateway device installed in the tower crane cockpit, and is connected with the hook video monitoring module through a wire, and periodically transmits data to the function progress reporting module through a wireless mode.
In some embodiments, further comprising: after the construction progress of the building structure is identified in step S130, the determined construction progress of the building structure is reported to a setting client, so as to record the construction progress of the building structure.
And 7: and reporting the construction progress. Specifically, according to (w)i，Ti，Si，fj) Outputting construction progress of each period, i.e. structural construction unit wiAt a fixed time period TiNumber of currently constructed layers SiStructural construction process fjAnd actively pushing all related personnel and systems after summarizing the progress of all the structure construction units.
For example: the construction progress reporting module shown in FIG. 5 can be used for establishing each tower crane diAnd a structural construction unit wiList of mapping relationships of (d { (d)i，wi)}. According to (d)i，Ti，Si，fj) And (d)i，wi) Outputting construction progress of each period, i.e. structural construction unit wiAt a fixed time period TiNumber of currently constructed layers SiStructural construction process fjAnd actively pushing all related personnel and systems after summarizing the progress of all the construction units. Like this, through reporting to the demand according to the progress, adopt automatic data acquisition and the automatic mode of reporting to the newspaper that gathers, report structure construction progress, support progress management. As shown in fig. 6, the construction progress reporting module is generally installed in an office machine room, receives data of the intelligent analysis module of the construction process and the construction layer number analysis module on each tower crane in a wireless mode, and pushes related personnel and systems after the data are summarized.
Such as: and (3) constructing 8-layer formwork installation procedures at a certain time period of a certain day of the 1# building.
According to the scheme of the invention, according to the relation between the tower crane and the building, the visualization of the lifting hook, the height monitoring of the tower crane and the static information of the building are creatively integrated for the automatic identification of the construction progress. And moreover, aiming at the problem that progress needs to be input manually, the construction progress of the building structure is analyzed creatively by adopting data acquired by field Internet of things equipment, and the progress information input workload is reduced. Thereby, the problem that the input workload of the construction progress is large and the input time is relatively sluggish is solved, the construction progress is analyzed through the monitoring data according to the tower crane, the input workload of the construction progress can be reduced at least, and the construction progress is ensured to be input in time.
By adopting the technical scheme of the embodiment, the sensors such as the video monitoring sensor, the height of the lifting hook, the running state of the tower crane and the like are installed on the tower crane, so that the overall situation of a construction site and the running situation of the tower crane can be monitored, and monitoring data can be obtained. According to the visual data of the tower crane lifting hook in the monitoring data, the monitoring data of the Internet of things such as the tower crane lifting height and the like, the construction progress of the building structure can be intelligently identified, and construction management can be assisted.
According to the embodiment of the invention, the identification device of the construction progress of the building structure is also provided, which corresponds to the identification method of the construction progress of the building structure. Referring to fig. 3, a schematic diagram of an embodiment of the apparatus of the present invention is shown. The building structure, comprising: n construction units, wherein N is a positive integer. And each construction unit in the N construction units is provided with a tower crane. The recognition device of building structure construction progress includes: a setting unit 102, an acquisition unit 104 and a recognition unit 106.
The setting unit 102 is configured to establish a mapping relation list between the N tower cranes and the N construction units, and determine a material type list lifted by the tower cranes in the building structure and a construction procedure list of the building structure. The specific function and processing of the setting unit 102 are referred to in step S110. Specifically, establishing a mapping relation list between N tower cranes and N construction units { (d)i，wi)}. And determining the constructionMaterial type list { m) of tower crane lifting in building structurejAnd a construction process list of the building structure { f }j,mjk}. Wherein d isiIs a tower crane, wiFor construction unit, mjIs the type of material, fjIs a construction process; m isjkIs a process fjThe main material in the construction process is M medium element.
Fig. 4 is a schematic overall flow chart of an embodiment of the intelligent identification device for construction progress of a building structure according to the present invention. Fig. 5 is a schematic structural diagram of an embodiment of the intelligent identification device for construction progress of a building structure according to the present invention. As shown in fig. 4, the intelligent identification device for building structure construction progress of the invention comprises the following steps:
step 1: establishing each tower crane diAnd a structural construction unit wiList of mapping relationships of (d { (d)i，wi)}. And arranging a main material type list M ═ M of tower crane hoisting in the structure constructionjF, arranging a structure construction process listj,(mjk)}。
Wherein, in the bill of material types, the material types include: precast concrete member, steel structural member, steel pipe, flitch, template, reinforcing bar.
In the construction process list, the construction process includes: hoisting a precast concrete member, hoisting a steel structure, installing reinforcing steel bars, installing a template and pouring concrete in situ.
In step 1, mjThe main material types are input, and comprise precast concrete members, steel structural members, steel pipes, battens, templates, reinforcing steel bars and the like. f. ofjThe method comprises the steps of prefabricated concrete member hoisting, steel structure hoisting, steel bar installation, template installation and cast-in-place concrete pouring of input main structure construction procedure lists, wherein the steps of the method comprise that each item may be different.
Such as: the tower crane construction unit mapping relation { (tower crane 1#, floor 1 #), (tower crane 2#, floor 2) }. The main material type list M ═ precast concrete members, steel structural members, steel pipes, flitch, formwork, steel bars, concrete, and others. The structural construction process list F { (precast concrete member hoisting, (precast concrete member)), (steel structure hoisting, (steel structural member)), (steel bar installation, (steel bar)), (formwork installation, (steel pipe, formwork, and flitch)), (cast-in-place concrete casting, (concrete)) }.
The obtaining unit 104 is configured to obtain monitoring data of the N tower cranes in the N construction units. Wherein, the monitoring data of every tower crane includes: the lifting height data of the tower crane and the lifting hook video data of the tower crane. The specific function and processing of the acquisition unit 104 are referred to in step S120.
And each tower crane is provided with a tower crane lifting height monitoring module and a tower crane lifting hook video monitoring module. The monitoring data of every tower crane includes: and the monitored lifting height data of the tower crane is obtained through a tower crane lifting height monitoring module arranged at the tower crane. And the monitored lifting hook video data of the tower crane are obtained through a tower crane lifting hook video monitoring module arranged at the tower crane.
In some embodiments, the obtaining unit 104 obtains the monitoring data of the N tower cranes in the N construction units, where the obtaining includes the following two obtaining situations:
the first acquisition scenario: the obtaining unit 104 is specifically configured to obtain the height of each tower crane during lifting and the time for completing the lifting of the tower crane, and record the height and the time for completing the lifting of the tower crane during lifting as the lifting height data of the tower crane. Specifically, height data of each tower crane in each lifting process is obtained, and lifting completion time of the tower crane is recorded as (te)i，hi). Wherein h isiFor lifting height data, teiThe hoisting completion time.
As shown in fig. 4, the intelligent identification device for building structure construction progress of the present invention further comprises the following steps:
step 2: and monitoring the lifting height of the tower crane lifting hook. Specifically, for each tower crane diAnd monitoring each tower crane d by adopting a distance sensoriHeight h of each liftingiAnd recording the time te of completion of the hoistingiRecorded as (te)i，hi)。
For example: the tower crane lifting height monitoring module shown in fig. 5 can be utilized for each tower crane diAnd monitoring each tower crane d by adopting a distance sensoriHeight h of each liftingiAnd recording the time te of completion of the hoistingiRecorded as (te)i，hi). Fig. 6 is a schematic structural diagram of another embodiment of the intelligent identification device for construction progress of a building structure of the present invention. As shown in FIG. 6, the tower crane lifting height monitoring module is generally installed below a tower crane trolley and used for measuring the distance between the height of the tower crane and the height of a lifting hook.
Such as: when the material is unhooked (namely the hoisting is finished) is monitored by a distance sensor, the distance d between the lifting hook and the tower crane boomiThen the height H-d of the suspension arm of the tower crane is passediCalculating the lifting height h of the materiali。
The second acquisition scenario: the obtaining unit 104 is specifically configured to obtain time of each tower crane at the highest height of the hook each time and a monitoring picture within a set range below the tower crane at the time, and use the time and the monitoring picture as hook video data of the tower crane.
As shown in fig. 4, the intelligent identification device for building structure construction progress of the present invention further comprises the following steps:
and 4, step 4: and (5) adapting the monitoring picture to the tower crane hook. Specifically, the video monitoring is installed on the tower crane trolley, and the time t of the highest height of the lifting hook at each time is recordedjMonitoring picture p below tower cranejIs recorded as (t)j，pj)。
For example: the lifting hook video monitoring module shown in fig. 5 can be utilized and installed on a tower crane trolley, and the time t of the highest height of the lifting hook at each time is recordedjMonitoring picture p below tower cranejIs recorded as (t)j，pj). As shown in fig. 6, the hook video monitoring module is generally installed under the tower crane trolley and used for real-time images right under the hook. The collection of the clear picture is realized through automatic focusing.
At different times, the tower crane is in different states. Such as: (8: 05, p on a certain day)1)。
According to the scheme, the building structure construction progress intelligent identification device is provided, the building structure construction progress is intelligently identified according to the tower crane lifting hook visual data, the tower crane lifting height and other Internet of things monitoring data, the personnel input workload is reduced, the progress is accurately and timely input, and the construction management is assisted.
The identification unit 106 is configured to analyze the monitoring data of each tower crane based on the mapping relation list, the material type list and the construction process list, and identify the construction progress of the building structure. The specific function and processing of the identification unit 106 are referred to in step S130.
The tower crane attached to a building structure is an important tool for vertical transportation of materials in the construction process of the structure. A tower crane is generally installed in a construction unit to cover the hoisting of materials such as templates, steel bars, concrete steel pipes, precast concrete members and steel structural members of all floors of the construction unit.
The building structure is a system that can withstand various actions and is composed of various members (roof trusses, beams, plates, columns, and the like) in a house building.
The tower crane is also a height control point for building structure construction, and the sensors such as video monitoring, height of a lifting hook, running state of the tower crane and the like are arranged on the tower crane, so that the overall situation of a site and the running situation of the tower crane can be monitored, and the application is wide. In the related scheme, no technology is used for fusing the monitoring data of the sensors and analyzing the construction progress. In fact, the hoisting height of the tower crane is directly related to the construction height of the current structure, and the material hoisted by the tower crane is directly related to the construction process of the building structure. Therefore, the scheme of the invention provides the intelligent identification device for the construction progress of the building structure, and the construction progress condition of the structure can be accurately and intelligently identified through analyzing the hoisting height of the tower crane and identifying the visual image of the lifting hook.
In some embodiments, the identifying 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, and identifies the construction progress of the building structure, including:
the identification unit 106 is specifically configured to determine an average value of the lifting height data of all tower cranes within a set time period according to the lifting height data in the monitoring data of each tower crane. And determining the floor number of the current construction unit in a set time period by combining the heights of all floors in all construction units based on the mapping relation list. The specific function and processing of the identification unit 106 are referred to in step S210.
As shown in fig. 4, the intelligent identification device for building structure construction progress of the present invention further comprises the following steps:
and step 3: and analyzing the current construction layer number. In particular, with a fixed period of time TiAs a unit, a fixed period T is calculatediThe average value h of all hoisting heights in the building is determined according to the structural height of each floor of the building (S)j，Hj) 1-floor number n, calculating the current construction floor number SiIs recorded as (T)i，Si). The specific method comprises the following steps: when h is generated>HjAnd h is<Hj+1Then S isi＝Sj.(ii) a For example, if the structural height { (6,18), (7,21), (8,24) }, h is 21.4, the current construction floor number S isi＝7。
For example: the construction layer number analyzing module shown in fig. 5 may be used to fix the period TiAs a unit, a fixed period T is calculatediThe average value of all hoisting heights in the building is calculated, and the number S of the currently constructed floors is calculated according to the structural height of each floor of the buildingiIs recorded as (T)i，Si). As shown in figure 6, the construction layer number analysis module is generally an intelligent gateway device installed in a tower crane cockpit, is connected with a tower crane lifting height monitoring module through a wire, and periodically transmits data to a function progress reporting module in a wireless mode.
Such as: fixed time period TiCalculating the average value of all the lifting heights in a day to be 28.54m for 0:00-24:00 of a certain day, taking the building in the example shown in figure 6 as an example, and the corresponding number of layers is 8. Recorded as (0: 00-24:0, 8 on a certain day).
The identifying unit 106 is further specifically configured to identify the material types lifted by all the tower cranes within a set time period by using a convolutional neural network algorithm according to the hook video data in the monitoring data of each tower crane based on the material type list, and determine the number of different material types lifted by all the tower cranes within the set time period. The specific function and processing of the identification unit 106 are shown in step S220.
As shown in fig. 4, the intelligent identification device for building structure construction progress of the present invention further comprises the following steps:
and 5: and intelligently classifying the hoisting materials. Specifically, a main material type list M ═ M of tower crane hoisting in structure constructionjWithin the range, adopting an image recognition artificial intelligence algorithm according to the time t of the highest height of the lifting hookjMonitoring picture p below tower cranejThe handling material is classified and recorded as (t)j，pj，mj). Therefore, the classification of the hoisting materials is automatically carried out by introducing an AI (artificial intelligence) algorithm, the process identification is supported, and the construction progress is automatically analyzed.
Such as: by a convolutional neural network algorithm, consider p1Is a steel pipe material and is marked as (8: 05, p on a certain day)1Steel pipe).
Specifically, a convolutional neural network algorithm is adopted to classify the hoisting materials according to the picture; the input is a picture shot by the visual hook, and the output is a material type. The training process mainly comprises the following steps: the first step is as follows: collecting training sets, collecting 3000 snap-shot photos of four-layer structure construction of 1 month in 5 projects, and relating to each process; the second step is that: training set marking, manually classifying 15000, and marking main materials for hoisting, such as steel bars, battens, templates and the like; the third step: training a convolutional neural network: inputting the marked training set data into a CNN network, and establishing a classified convolutional neural network; adopting an open source CNN network algorithm; a fourth step of: the newly collected monitoring picture is input into the trained CNN network, and the hoisted material is automatically identified, which may specifically refer to the example shown in fig. 7.
The identification unit 106 is further specifically configured to determine the construction process within the set time period by using an analytic hierarchy process according to the types and the number of the materials hoisted by all the tower cranes within the set time period based on the construction process list. And determining the construction process under the floor number of the current construction unit in the set time period as the current construction progress of the building structure. The specific function and processing of the identification unit 106 are referred to in step S230.
As shown in fig. 4, the intelligent identification device for building structure construction progress of the present invention further comprises the following steps:
step 6: and intelligently identifying the construction process. Specifically, in the structure construction process list F ═ { F ═ FjWithin the range of a fixed period of time TiIn units of a fixed time period TiAll the material types and the quantity of all the hoisted materials are identified as corresponding working procedures f by adopting an analytic hierarchy processjIs recorded as (w)i，Ti，Si，fj)。wiFor structural construction units, SiThe number of layers currently constructed is shown.
For example, for a day in the range of 0:00-24:00, and for a statistical range of 24h, the number of research on various materials is: mt{ (steel pipe, 5), (template, 15), (flitch, 10), (others, 2) }; then sorting M in a reverse order according to the handling quantityt{ (template, 15), (flitch, 10), (steel pipe, 5), (others, 2) }; extracting a hoisting material accounting for more than 70% of the total weight of the hoisting material as a template and a batten; according to the main material information of each process in the process list F, identifying the process belonging to the time period as follows: and (6) installing the template.
For example: the construction procedure intelligent analysis module shown in fig. 5 can be utilized to arrange the main material type list M ═ M of the tower crane hoisting in the structure constructionj}. Adopting an image recognition artificial intelligence algorithm, classifying the lifted materials according to the monitoring picture, and recording as (t)j，pj，mj). The list F ═ F of the construction procedures for the finished structurej}. Then for a fixed period of time TiIn units of a fixed time period TiAll the material types and the quantity of all the hoisted materials are identified as corresponding working procedures f by adopting an analytic hierarchy processj. Is recorded as (d)i，Ti，Si，fj). As shown in FIG. 6, the intelligent analysis module for construction processThe piece, generally install the intelligent gateway equipment in the tower crane cockpit, be connected through wired and lifting hook video monitoring module to it is the function progress module of reporting to the data transmission regularly through wireless mode.
In some embodiments, further comprising: the identification unit 106 is further configured to, after identifying the construction progress of the building structure, report the determined construction progress of the building structure to a setting client, so as to record the construction progress of the building structure.
And 7: and reporting the construction progress. Specifically, according to (w)i，Ti，Si，fj) Outputting construction progress of each period, i.e. structural construction unit wiAt a fixed time period TiNumber of currently constructed layers SiStructural construction process fjAnd actively pushing all related personnel and systems after summarizing the progress of all the structure construction units.
For example: the construction progress reporting module shown in FIG. 5 can be used for establishing each tower crane diAnd a structural construction unit wiList of mapping relationships of (d { (d)i，wi)}. According to (d)i，Ti，Si，fj) And (d)i，wi) Outputting construction progress of each period, i.e. structural construction unit wiAt a fixed time period TiNumber of currently constructed layers SiStructural construction process fjAnd actively pushing all related personnel and systems after summarizing the progress of all the construction units. Like this, through reporting to the demand according to the progress, adopt automatic data acquisition and the automatic mode of reporting to the newspaper that gathers, report structure construction progress, support progress management. As shown in fig. 6, the construction progress reporting module is generally installed in an office machine room, receives data of the intelligent analysis module of the construction process and the construction layer number analysis module on each tower crane in a wireless mode, and pushes related personnel and systems after the data are summarized.
Such as: and (3) constructing 8-layer formwork installation procedures at a certain time period of a certain day of the 1# building.
According to the scheme of the invention, according to the relation between the tower crane and the building, the visualization of the lifting hook, the height monitoring of the tower crane and the static information of the building are creatively integrated for the automatic identification of the construction progress. And moreover, aiming at the problem that progress needs to be input manually, the construction progress of the building structure is analyzed creatively by adopting data acquired by field Internet of things equipment, and the progress information input workload is reduced. Thereby, the problem that the input workload of the construction progress is large and the input time is relatively sluggish is solved, the construction progress is analyzed through the monitoring data according to the tower crane, the input workload of the construction progress can be reduced at least, and the construction progress is ensured to be input in time.
Since the processes and functions implemented by the apparatus of this embodiment substantially correspond to the embodiments, principles and examples of the method, reference may be made to the related descriptions in the embodiments without being detailed in the description of this embodiment, which is not described herein again.
By adopting the technical scheme of the invention, the overall situation of a construction site and the running situation of the tower crane can be monitored by mounting sensors such as video monitoring sensors, lifting hook height sensors, tower crane running state sensors and the like on the tower crane to obtain monitoring data; intelligently identifying the construction progress of the building structure according to the visual data of the tower crane hook, the lifting height of the tower crane and other monitoring data of the Internet of things in the monitoring data; therefore, the construction progress is analyzed through the monitoring data according to the tower crane, the input workload of the construction progress can be reduced at least, and the construction progress can be ensured to be input in time.
According to the embodiment of the invention, a client of the identification device corresponding to the construction progress of the building structure is also provided. The client may include: the above device for identifying the construction progress of the building structure.
Since the processing and functions implemented by the client in this embodiment substantially correspond to the embodiments, principles, and examples of the foregoing devices, reference may be made to the related descriptions in the foregoing embodiments for details which are not described herein in this embodiment.
By adopting the technical scheme of the invention, the overall situation of a construction site and the running situation of the tower crane can be monitored by mounting sensors such as video monitoring sensors, lifting hook height sensors, tower crane running state sensors and the like on the tower crane to obtain monitoring data; according to the visual data of the tower crane lifting hook in the monitoring data, the monitoring data of the Internet of things such as the tower crane lifting height and the like, the construction progress of the building structure is intelligently identified, the personnel input workload can be reduced, and the input work efficiency is improved.
According to an embodiment of the present invention, there is also provided a storage medium corresponding to a method for identifying a construction progress of a building structure, where the storage medium includes a stored program, and when the program runs, a device on which the storage medium is controlled to execute the method for identifying a construction progress of a building structure.
Since the processing and functions implemented by the storage medium of this embodiment substantially correspond to the embodiments, principles, and examples of the foregoing method, reference may be made to the related descriptions in the foregoing embodiments without being detailed in the description of this embodiment.
By adopting the technical scheme of the invention, the overall situation of a construction site and the running situation of the tower crane can be monitored by mounting sensors such as video monitoring sensors, lifting hook height sensors, tower crane running state sensors and the like on the tower crane to obtain monitoring data; according to the visual data of the tower crane lifting hook in the monitoring data, the monitoring data of the Internet of things such as the tower crane lifting height and the like, the construction progress of the building structure can be intelligently identified, the progress can be accurately and timely input, and the input reliability is improved.
In summary, it is readily understood by those skilled in the art that the advantageous modes described above can be freely combined and superimposed without conflict.
The above description is only an example of the present invention, and is not intended to limit the present invention, and it is obvious to those skilled in the art that various modifications and variations can be made in the present invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the scope of the claims of the present invention.

Claims (10)

1. A method for identifying the construction progress of a building structure, which is characterized in that the building structure comprises the following steps: n construction units, wherein N is a positive integer; each construction unit in the N construction units is provided with a tower crane; the identification method of the construction progress of the building structure comprises the following steps:
establishing a mapping relation list between N tower cranes and N construction units, and determining a material type list lifted by a tower crane in the building structure and a construction process list of the building structure;
acquiring monitoring data of N tower cranes in the N construction units; wherein, the monitoring data of every tower crane includes: the lifting height data of the tower crane and the video data of a lifting hook of the tower crane;
and analyzing the monitoring data of each tower crane based on the mapping relation list, the material type list and the construction process list, and identifying the construction progress of the building structure.
2. The method for identifying the progress of construction of a building structure according to claim 1, wherein in the list of material types, the material type includes: prefabricating a concrete member, a steel structure member, a steel pipe, battens, a template and reinforcing steel bars;
in the construction process list, the construction process includes: hoisting a precast concrete member, hoisting a steel structure, installing a steel bar, installing a template and pouring concrete in situ;
and/or the presence of a gas in the gas,
a tower crane lifting height monitoring module and a tower crane hook video monitoring module are arranged at each tower crane; the monitoring data of every tower crane includes: monitoring the lifting height data of the tower crane through a tower crane lifting height monitoring module arranged at the tower crane; monitoring the video data of the lifting hook of the tower crane through a video monitoring module of the lifting hook of the tower crane arranged at the tower crane;
acquiring monitoring data of N tower cranes in the N construction units, wherein the data comprises the following steps:
acquiring the lifting height of each tower crane and the lifting completion time of the tower crane, and recording the lifting height and the lifting completion time of the tower crane as lifting height data of the tower crane;
and acquiring the time of each tower crane at the highest height of the lifting hook each time and a monitoring picture within a set range below the tower crane at the time, and taking the time and the monitoring picture as the video data of the lifting hook of the tower crane.
3. The method for identifying the construction progress of the building structure according to claim 1, wherein the step of analyzing the monitoring data of each tower crane based on the mapping relation list, the material type list and the construction process list to identify the construction progress of the building structure comprises the following steps:
determining the average value of the lifting height data of all tower cranes within a set time period according to the lifting height data in the monitoring data of each tower crane; determining the floor number of the current construction unit in a set time period by combining the heights of all floors in all construction units based on the mapping relation list;
based on the material type list, identifying the material types of all tower cranes lifted in a set time period by using a convolutional neural network algorithm according to the lifting hook video data in the monitoring data of each tower crane, and determining the number of different material types lifted by all tower cranes in the set time period;
determining the construction process within the set time period by adopting an analytic hierarchy process according to the types and the number of the materials hoisted by all the tower cranes within the set time period based on the construction process list; and determining the construction process under the floor number of the current construction unit in the set time period as the current construction progress of the building structure.
4. The identification method of the construction progress of the building structure according to any one of claims 1 to 3, characterized by further comprising:
and after the construction progress of the building structure is identified, reporting the determined construction progress of the building structure to a set client to record the construction progress of the building structure.
5. An apparatus for identifying a construction progress of a building structure, the building structure comprising: n construction units, wherein N is a positive integer; each construction unit in the N construction units is provided with a tower crane; the recognition device of building structure construction progress includes:
the system comprises a setting unit, a construction unit and a control unit, wherein the setting unit is configured to establish a mapping relation list between N tower cranes and N construction units, and determine a material type list lifted by the tower cranes in the building structure and a construction procedure list of the building structure;
the acquisition unit is configured to acquire monitoring data of N tower cranes in the N construction units; wherein, the monitoring data of every tower crane includes: the lifting height data of the tower crane and the video data of a lifting hook of the tower crane;
and the identification unit is configured to analyze the monitoring data of each tower crane based on the mapping relation list, the material type list and the construction process list, and identify the construction progress of the building structure.
6. The apparatus for recognizing construction progress of building structure according to claim 5, wherein in the material type list, the material type includes: prefabricating a concrete member, a steel structure member, a steel pipe, battens, a template and reinforcing steel bars;
in the construction process list, the construction process includes: hoisting a precast concrete member, hoisting a steel structure, installing a steel bar, installing a template and pouring concrete in situ;
and/or the presence of a gas in the gas,
a tower crane lifting height monitoring module and a tower crane hook video monitoring module are arranged at each tower crane; the monitoring data of every tower crane includes: monitoring the lifting height data of the tower crane through a tower crane lifting height monitoring module arranged at the tower crane; monitoring the video data of the lifting hook of the tower crane through a video monitoring module of the lifting hook of the tower crane arranged at the tower crane;
the acquisition unit acquires the monitoring data of N tower cranes in N construction units, and the acquisition unit comprises:
acquiring the lifting height of each tower crane and the lifting completion time of the tower crane, and recording the lifting height and the lifting completion time of the tower crane as lifting height data of the tower crane;
and acquiring the time of each tower crane at the highest height of the lifting hook each time and a monitoring picture within a set range below the tower crane at the time, and taking the time and the monitoring picture as the video data of the lifting hook of the tower crane.
7. The device for identifying the construction progress of the building structure according to claim 5, wherein the identifying unit analyzes the monitoring data of each tower crane based on the mapping relation list, the material type list and the construction process list, and identifies the construction progress of the building structure, and comprises:
determining the average value of the lifting height data of all tower cranes within a set time period according to the lifting height data in the monitoring data of each tower crane; determining the floor number of the current construction unit in a set time period by combining the heights of all floors in all construction units based on the mapping relation list;
based on the material type list, identifying the material types of all tower cranes lifted in a set time period by using a convolutional neural network algorithm according to the lifting hook video data in the monitoring data of each tower crane, and determining the number of different material types lifted by all tower cranes in the set time period;
determining the construction process within the set time period by adopting an analytic hierarchy process according to the types and the number of the materials hoisted by all the tower cranes within the set time period based on the construction process list; and determining the construction process under the floor number of the current construction unit in the set time period as the current construction progress of the building structure.
8. The apparatus for recognizing construction progress of a building structure according to any one of claims 5 to 7, further comprising:
the identification unit is further configured to report the determined construction progress of the building structure to a setting client after identifying the construction progress of the building structure, so as to record the construction progress of the building structure.
9. A client, comprising: an apparatus for identifying the progress of construction of a building structure as claimed in any one of claims 5 to 8.
10. A storage medium, characterized in that the storage medium comprises a stored program, wherein, when the program runs, a device where the storage medium is located is controlled to execute the identification method of construction progress of the building structure according to any one of claims 1 to 4.
CN202111470749.9A 2021-12-03 2021-12-03 Building structure construction progress identification method and device, client and storage medium Pending CN113971781A (en)

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