A monitoring management method and system for steel box girder construction

Abstract

The application provides a kind of monitoring management method and system for steel box girder construction, it is related to data identification technical field, method includes: based on real-time construction data setting observation datum point, and according to observation datum point layout image acquisition device, setting settlement monitoring point and settlement monitoring period, generate identification number by calibration device, by settlement monitoring period control image acquisition device carries out the image acquisition of support column, according to image acquisition result and identification number carries out the supervision verification of settlement measurement, exports first verification result, generates the identification feature of hoisting object based on real-time construction data, posture recognition is carried out to servo image set, second verification result is generated from posture recognition result and first verification result carries out steel box girder construction management, solve the technical problem that construction process and management mechanism lack adaptability in prior art, leading to low monitoring management efficiency, realize the adaptive adjustment of construction process and management mechanism, to guarantee regulatory energy efficiency.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of data recognition, and in particular to a monitoring management method and system for steel box girder construction. BACKGROUND

[0002] In recent years, with the rapid development of society, long-span bridges play an increasingly important role in highways and urban roads. With the development of many novel bridge types and wide bridges, box section forms are widely used. In recent years, with the development of bridge engineering in China, a large number of modern, complex structure, novel, and high-technology long-span bridges have been successfully built, most of which are steel bridges.

[0003] Steel box girders have the advantages of light weight, large span capacity, short construction period, and convenient manufacturing and erection, and are widely used in the construction of urban bridges and sea-crossing bridges. However, with the continuous development of bridge technology in China, there is an increasingly high requirement for the adaptability of the construction process and management mechanism of steel box girders. However, the construction process and management mechanism in the prior art lack adaptability, resulting in the technical problem of low monitoring and management efficiency for steel box girder construction. SUMMARY

[0004] The present application provides a monitoring management method and system for steel box girder construction, which is used to solve the technical problem of low monitoring and management efficiency caused by the lack of adaptability of the construction process and management mechanism in the prior art.

[0005] In view of the above problems, the present application provides a monitoring management method and system for steel box girder construction.

[0006] In a first aspect, the present application provides a monitoring management method for steel box girder construction, the method comprising: connecting the data interaction device with the steel box girder construction site, reading real-time construction data; setting an observation reference point based on the real-time construction data, and arranging the image acquisition device according to the observation reference point; setting a settlement monitoring point and a settlement monitoring period according to the real-time construction data, and identifying the position of the settlement monitoring point of the support column through the calibration device, and generating an identification number; controlling the image acquisition device to perform image acquisition of the support column through the settlement monitoring period, and performing supervision and verification of settlement measurement according to the image acquisition result and the identification number, and outputting a first verification result; generating an identification feature of the hoisting object based on the real-time construction data, performing feature tracking supervision of the identification feature through the image acquisition device, and generating a following image set; performing pose recognition on the following image set, and generating a second verification result based on the pose recognition result; and performing steel box girder construction management according to the first verification result and the second verification result.

[0007] In a second aspect, the application provides a monitoring management system for steel box girder construction, comprising: a data reading module, which is used to communicate the data interaction device with the steel box girder construction site and read real-time construction data; an observation reference point module, which is used to set an observation reference point based on the real-time construction data and arrange the image acquisition device according to the observation reference point; a number generation module, which is used to set a settlement monitoring point and a settlement monitoring period according to the real-time construction data, identify the position of the settlement monitoring point of the support column through the calibration device, and generate an identification number; a supervision verification module, which is used to control the image acquisition device to acquire images of the support column through the settlement monitoring period, perform supervision verification of settlement measurement according to the image acquisition result and the identification number, and output a first verification result; an identification feature module, which is used to generate an identification feature of a hoisting object based on the real-time construction data, perform feature tracking supervision of the identification feature through the image acquisition device, and generate a follow-up image set; a posture recognition module, which is used to perform posture recognition on the follow-up image set and generate a second verification result based on the posture recognition result; and a construction management module, which is used to perform steel box girder construction management according to the first verification result and the second verification result.

[0008] The one or more technical solutions provided in the application have at least the following technical effects or advantages:

[0009] The monitoring management method and system for steel box girder construction provided in the application are related to the technical field of data recognition, solve the technical problem of low monitoring management efficiency caused by the lack of adaptability of construction progress and management mechanism in the prior art, and realize the adaptive adjustment of construction progress and management mechanism to guarantee the supervision efficiency. BRIEF DESCRIPTION OF DRAWINGS

[0010] Figure 1 A monitoring management method flowchart for steel box girder construction is provided in the application;

[0011] Figure 2 A steel box girder construction management flowchart in the monitoring management method for steel box girder construction is provided in the application;

[0012] Figure 3 A follow-up image set construction flowchart in the monitoring management method for steel box girder construction is provided in the application;

[0013] Figure 4 A first verification result output flowchart in the monitoring management method for steel box girder construction is provided in the application;

[0014] Figure 5 A steel box girder construction monitoring management method is provided for the steel box girder construction monitoring management process schematic diagram;

[0015] Figure 6 A steel box girder construction monitoring management system structure schematic diagram is provided for the steel box girder construction monitoring management process schematic diagram.

[0016] Legend: data reading module 1, observation reference point module 2, number generation module 3, supervision verification module 4, identification feature module 5, pose identification module 6, construction management module 7. DETAILED DESCRIPTION

[0017] The present application provides a steel box girder construction monitoring management method and system to solve the technical problem of low monitoring management efficiency caused by the lack of adaptability of construction progress and management mechanism in the prior art.

[0018] Embodiment one

[0019] As Figure 1 shown, the present application provides a steel box girder construction monitoring management method, which is applied to a monitoring management system, and the monitoring management system is in communication connection with a data interaction device, an image acquisition device and a calibration device. The method comprises the following steps:

[0020] Step S100: connecting the data interaction device with the steel box girder construction site and reading real-time construction data;

[0021] Specifically, the steel box girder construction monitoring management method provided by the present application is applied to a monitoring management system, and the monitoring management system is in communication connection with a data interaction device, an image acquisition device and a calibration device. The data interaction device, the image acquisition device and the calibration device are used to collect parameters of the steel box girder during construction.

[0022] By connecting the data interaction device in communication connection with the monitoring management system and the current target steel box girder construction site, it means that the data of the current steel box girder construction site and the data in the monitoring management system are used to interact with each other. On this basis, the real-time construction data of the current steel box girder construction site is read. The real-time construction data of the steel box girder construction site can include material data of the steel box girder, quality data of the steel box girder, steel box girder segment data, etc., which serves as an important reference for later monitoring and management of steel box girder construction.

[0023] Step S200: setting observation reference points based on the real-time construction data, and arranging the image acquisition device according to the observation reference points;

[0024] Specifically, on the basis of the read real-time construction data, corresponding observation reference points are set for the steel box girder construction site. The observation reference points refer to positions in the steel box girder construction site that can better monitor and collect data during the entire construction process of the steel box girder. The image acquisition devices connected to the monitoring management system are arranged according to the set observation reference points. On this basis, the image acquisition devices arranged at the observation reference points can be used to monitor the entire construction process of the steel box girder, thereby ensuring the accuracy of monitoring and management of the steel box girder construction.

[0025] Step S300: According to the real-time construction data, the settlement monitoring points and the settlement monitoring period are set, the settlement monitoring point positions of the support column are marked by the calibration device, and the identification number is generated;

[0026] Specifically, the obtained real-time construction data is used as a reference to set the settlement monitoring points and the settlement monitoring period during the entire construction process of the steel box girder. The settlement monitoring points of the steel box girder during the construction process refer to the settlement observation points set on the building at different time periods. Then, the settlement data of the building is obtained by comparing the measurements of the settlement observation points. The settlement value is obtained by subtracting the measurement height of the settlement observation point at the next time period from the initial measurement height, thereby effectively showing whether the quality of the steel box girder construction meets the standard and preventing serious safety accidents during use. The settlement monitoring period of the steel box girder during the construction process refers to the periodic settlement monitoring of the set settlement monitoring points, which can be set to 30 days. Further, the calibration device connected to the monitoring management system is used to mark the settlement monitoring point positions of the support column. The calibration device refers to a sensor for the settlement monitoring points on the support column. The settlement monitoring point positions on the support column are marked correspondingly. After the marked positions are integrated and summarized, each position is marked with a corresponding identification number, thereby laying a foundation for subsequent monitoring and management of the steel box girder construction.

[0027] Step S400: The image acquisition device is controlled to acquire images of the support column according to the settlement monitoring period. The image acquisition result and the identification number are used to supervise and verify the settlement measurement, and a first verification result is output.

[0028] Specifically, in order to ensure the accuracy of the supervision of the settlement degree of the steel box girder, first of all, on the basis of the settlement monitoring period set above, the image acquisition device arranged is controlled to acquire images of the support column, and further, according to the obtained image acquisition result and the above-mentioned generated identification number, the settlement measurement of the steel box girder is supervised and verified, which means that after the support column is set, the initial measurement of the steel box girder is performed through the settlement monitoring point, and after any hoisting is completed, the settlement of the settlement monitoring point of the steel box girder is re-measured through the image acquisition device, and further, the initial measurement result obtained through the settlement monitoring point is compared with the secondary measurement result obtained through the settlement monitoring point, and the verification result is recorded as the first verification result for output, which has a limited effect on monitoring and managing the construction of the steel box girder.

[0029] Step S500: generating an identification feature of the hoisting object based on the real-time construction data, performing feature tracking supervision of the identification feature through the image acquisition device, and generating a follow-up image set;

[0030] Specifically, taking the real-time construction data as the basis, the hoisting object is identified, and at the same time, the image acquisition device is used to supervise the feature tracking of the identified hoisting object, which means that when the image acquisition device is used to supervise the hoisting object, first of all, according to the position area of the hoisting object and the area where the hoisting object will move subsequently, all the image acquisition devices in the corresponding area are called to acquire images of the hoisting object, and the hoisting object is continuously monitored, so that all the continuously monitored hoisting object images are collected and recorded as a follow-up image set, which serves as reference data for later monitoring and management of the construction of the steel box girder.

[0031] Step S600: performing posture recognition on the follow-up image set, and generating a second verification result based on the posture recognition result;

[0032] Specifically, based on the above-mentioned generated follow-up image set, the posture of the hoisting object contained in the follow-up image set is identified. Since the steel box girder needs to be hoisted during the construction of the steel box girder, the state of the current steel box girder can be identified through the hoisting posture during the hoisting of the steel box girder. Before hoisting the steel box girder, the posture of the steel girder needs to be adjusted according to the installation position, longitudinal slope and transverse slope of the steel girder, so as to facilitate the positioning of the steel girder and the approaching of the two half-width steel girders. Therefore, according to the hoisting posture recognition result, the possibility of accidents, the possible consequences of accidents, and the risk size of accidents of the hoisting object of the steel box girder can be obtained and verified, so as to record them as the second verification result for output, thereby improving the accuracy of later monitoring and management of the construction of the steel box girder.

[0033] Step S700: Conduct steel box girder construction management based on the first verification result and the second verification result.

[0034] Specifically, the entire construction process of the steel box girder is supervised and managed by the first verification result output from the settlement measurement based on image acquisition results and identification numbers, and the second verification result generated based on attitude recognition results. This involves first matching the early warning levels based on the first and second verification results. The first verification result uses the steel box girder settlement threshold as the early warning standard; a higher early warning level indicates that the steel box girder's settlement value has reached or exceeded the settlement threshold. Similarly, the second verification result uses the steel box girder hoisting attitude anomaly threshold as the early warning standard; a higher early warning level indicates that the steel box girder's hoisting attitude anomaly value has reached or exceeded the hoisting attitude anomaly threshold. Then, early warning prompts are issued for the steel box girder construction based on the early warning level. Simultaneously, the response records of the steel box girder monitoring and management system are acquired. Finally, the construction of the steel box girder is supervised and managed based on the early warning prompts and the response records of the monitoring and management system. This allows for the adaptation and adjustment of the steel box girder construction process and management mechanism to ensure effective supervision.

[0035] Furthermore, such as Figure 2 As shown, step S800 of this application further includes:

[0036] Step S810: After the support structure is constructed, the support beam data is collected using the leveling device to obtain the beam leveling measurement data, and the beam leveling measurement data is used as the first comparison data.

[0037] Step S820: Set an interval window, perform data remeasurement on the support beam at the window node of the interval window, obtain the remeasurement data of the leveling device, and use the remeasurement data as the second comparison data;

[0038] Step S830: Generate a third verification result based on the first comparison data and the second comparison data;

[0039] Step S840: Conduct steel box girder construction management based on the first verification result, the second verification result, and the third verification result.

[0040] Specifically, when the support construction in the steel box girder construction site is completed, the data of the completed support cross beam is collected by the leveling device connected with the monitoring management system, the leveling device is a device for measuring the height difference between two points of the support cross beam on the ground by using a level and a leveling rod, so that the leveling data of the cross beam is obtained after the data of the support cross beam is collected by the leveling device, and the leveling data of the cross beam is taken as the first comparison data, further, the interval window is set, the interval window refers to the periodic data collection of the support measurement, the window node in the interval window can be set to 24 hours, so that the data of the support cross beam is re-measured based on the window node in the interval window, the re-measured data of the leveling device is obtained and recorded as the second comparison data, and the first comparison data and the second comparison data are compared with the standard data in the big data, and the comparison result is recorded as the third verification result, and finally, the first verification result output by the supervision verification based on the image acquisition result and the identification number, the second verification result generated based on the posture recognition result, and the third verification result obtained above are taken as the reference, so that the steel box girder is more accurately supervised and managed, and the technical effect of providing an important basis for the construction supervision and management of the steel box girder in the later stage is achieved.

[0041] Further, the step S830 of the present application comprises:

[0042] Step S831: setting the calibration leveling data of the cross beam;

[0043] Step S832: deviation comparison based on the first comparison data and the calibration leveling data, generating a first deviation comparison result, wherein the first deviation comparison result has a first influence coefficient;

[0044] Step S833: deviation comparison based on the second comparison data and the calibration leveling data, generating a second deviation comparison result, wherein the second deviation comparison result has a second influence coefficient;

[0045] Step S834: weighting calculation of the first deviation comparison result by the first influence coefficient, weighting calculation of the second deviation comparison result by the second influence coefficient, influence analysis according to the weighting calculation result, and generation of the third verification result.

[0046] Specifically, according to the standard data of the steel box girder support cross beam in big data, the calibration level data of the cross beam in the current steel box girder construction site is set, and further, the first comparison data is compared with the set calibration level data, that is, the difference between the first comparison data and the calibration level data, so as to obtain the first deviation comparison result, and the first influence coefficient in the first deviation comparison result, the greater the first influence coefficient, the greater the deviation of the first deviation comparison result, the second comparison data is compared with the set calibration level data, that is, the difference between the second comparison data and the calibration level data, so as to obtain the second deviation comparison result, and the second influence coefficient in the second deviation comparison result, the greater the second influence coefficient, the greater the deviation of the second deviation comparison result, further, the first deviation comparison result is weighted and calculated by the first influence coefficient, and the second deviation comparison result is weighted and calculated by the second influence coefficient, the weighted calculation needs to be based on a large amount of data summary and accurate determination of weight before targeted calculation, for example, the weight ratio of the first deviation comparison result and the second deviation comparison result can be 4:6, then the influence parameters after the weighted calculation process are first influence parameter*0.4 and second influence parameter*0.6, according to the weighted calculation result, the third verification result is generated, so as to ensure more accurate construction supervision and management of the steel box girder in the later period.

[0047] Further, as shown in Figure 3 The step S500 of the application further includes:

[0048] Step S510: obtaining the layout information of the image acquisition device;

[0049] Step S520: determining the response area and cooperative processing association according to the layout information;

[0050] Step S530: when supervising the hoisting object through the image acquisition device, first, according to the initial position area of the hoisting object, the M image acquisition devices of the corresponding area matched therewith are called to perform image acquisition and continuous monitoring, and a first follow-up image set is generated;

[0051] Step S540: position recognition of the hoisting object on the first follow-up image set;

[0052] Step S550: when the position is determined to be in the first cooperative processing area, then N image acquisition devices are synchronously called to perform image acquisition of the hoisting object and continuous monitoring, and a second follow-up image set is generated;

[0053] Step S560: constructing the follow-up image set based on the first follow-up image set and the second follow-up image set.

[0054] Specifically, based on the position information of the image acquisition device, the response area and the cooperative processing association are determined, the response area refers to the area for monitoring the hoisting object of the steel box girder in all arranged image acquisition devices, the cooperative processing association refers to the data interaction processing association between all image acquisition devices in the response area, when the hoisting object is monitored by the image acquisition device, first, according to the initial position area of the hoisting object, the M image acquisition devices in the corresponding area matched with the initial position area are called to perform image acquisition and continuous monitoring, M is a positive integer greater than or equal to 1, at the same time, the first follow-up image set is generated, further, the follow-up image containing the hoisting object in the first follow-up image set is subjected to position recognition of the hoisting object, when the determined position of the hoisting object is in the first cooperative processing area, the first cooperative processing area refers to the area in the response area where there is a cooperative processing association relationship between the image acquisition devices, then N image acquisition devices are synchronously called to perform image acquisition of the hoisting object and continuous monitoring, N is a positive integer greater than or equal to 1, at the same time, the second follow-up image set is generated, finally, the images in the first follow-up image set and the second follow-up image set are integrated, on this basis, the composition of the follow-up image set is completed, and more practical construction supervision and management of the steel box girder based on the follow-up image set is achieved.

[0055] Further, the step S530 of the present application comprises:

[0056] Step S531: performing position recognition of the hoisting object based on the second follow-up image set;

[0057] Step S532: when the determined position is not in the first cooperative processing area, then the data acquisition of the M image acquisition devices is ended.

[0058] Specifically, based on the second follow-up image set generated by the N image acquisition devices for image acquisition and continuous monitoring of the hoisting object, the follow-up image containing the hoisting object in the second follow-up image set is extracted, and the exact position of the hoisting object in the construction site is recognized in the follow-up image according to the image of the steel box girder construction site, further, the recognized position is judged, if the determined position is not in the first cooperative processing area, then the M image acquisition devices connected by the system are stopped for data acquisition operation, so as to avoid data redundancy, and to ensure the efficiency when the steel box girder is supervised and managed.

[0059] Further, as shown in Figure 4 The step S400 of the present application further comprises:

[0060] Step S410: When the support column is set, the initial measurement of the settlement monitoring point is performed to obtain initial measurement data, and the initial measurement data is taken as an initial value;

[0061] Step S420: When any hoisting is completed, the settlement of the settlement monitoring point is re-measured by the image acquisition device to obtain a settlement re-measurement result;

[0062] Step S430: The settlement measurement is supervised and verified according to the initial value and the settlement re-measurement result, and the first verification result is output.

[0063] Specifically, when the support column of the steel box girder construction site is set, the settlement of the steel box girder is first measured based on the settlement monitoring point, and the initial measurement value is recorded as the initial measurement data of the steel box girder, that is, the initial value of the settlement of the steel box girder. Further, when any hoisting is completed, the settlement of the same settlement monitoring point of the steel box girder is re-measured by the image acquisition device of the current area, and the re-measurement result is recorded. Finally, the settlement measurement of the steel box girder is supervised and verified according to the obtained initial value of the steel box girder and the re-measurement result of the steel box girder, that is, the initial value of the steel box girder is compared with the re-measurement result of the steel box girder. Determine whether the comparison difference is less than the preset comparison difference. If the comparison difference is greater than the preset comparison difference, the settlement value of the steel box girder needs to be pre-alarmed. On this basis, the judgment result is recorded as the first verification result for output, so as to achieve the technical effect of construction supervision and management of the steel box girder.

[0064] Further, as shown in Figure 5 , the step S700 of the present application further comprises:

[0065] Step S710: According to the first verification result and the second verification result, the pre-alarm level matching result is obtained;

[0066] Step S720: The pre-alarm level matching result is used for pre-alarm prompt of the steel box girder construction, and the response information is recorded;

[0067] Step S730: According to the pre-alarm prompt and the response information, the steel box girder construction management is performed.

[0068] Specifically, first, the first verification result and the second verification result are matched according to the pre-warning level, that is, the steel box girder settlement critical value contained in the first verification result is used as the pre-warning standard, wherein the steel box girder settlement critical value is preset by the relevant technical personnel according to the steel box girder settlement data, and the higher the pre-warning level is, the greater the settlement value of the steel box girder is, and the steel box girder hoisting posture abnormality critical value contained in the second verification result is used as the pre-warning standard, wherein the steel box girder hoisting posture abnormality critical value is preset by the relevant technical personnel according to the steel box girder hoisting posture abnormality data, and the higher the pre-warning level is, the greater the steel box girder hoisting posture abnormality value is, the data in the first verification result and the second verification result are matched according to the size of the pre-warning level, further, based on the pre-warning level matching, the construction of the steel box girder is warned, the pre-warning can include the pre-warning of the settlement of the steel box girder and the pre-warning of the hoisting posture of the steel box girder, and the response record information in the monitoring management system of the steel box girder is obtained, and finally the supervision and management of the steel box girder construction are carried out according to the pre-warning and the monitoring management system response record information.

[0069] In summary, the whole house furniture wireless intelligent control method provided by the embodiment of the application at least includes the following technical effects, the construction process of the steel box girder and the management mechanism of the steel box girder are adapted and adjusted to ensure the supervision energy efficiency.

[0070] Embodiment two

[0071] Based on the same inventive concept as the monitoring management method for steel box girder construction in the foregoing embodiment, as shown in Figure 6 The application provides a monitoring management system for steel box girder construction, which comprises:

[0072] A data reading module is configured to connect the data interaction device with the steel box girder construction site and read real-time construction data.

[0073] An observation reference point module 1 is configured to set an observation reference point based on the real-time construction data and arrange the image acquisition device according to the observation reference point.

[0074] A number generation module 2 is configured to set a settlement monitoring point and a settlement monitoring period according to the real-time construction data, identify the position of the settlement monitoring point of the support column through the calibration device, and generate an identification number.

[0075] A supervision verification module 3 is configured to control the image acquisition device to acquire images of the support column through the settlement monitoring period, perform supervision verification of settlement measurement according to the image acquisition result and the identification number, and output a first verification result.

[0076] An identification feature module 4 is configured to generate an identification feature of the hoisting object based on the real-time construction data, perform feature tracking supervision of the identification feature through the image acquisition device, and generate a set of follow-up images;

[0077] A posture recognition module 5 is configured to perform posture recognition on the set of follow-up images and generate a second verification result based on the posture recognition result.

[0078] A construction management module 6 is configured to perform steel box girder construction management according to the first verification result and the second verification result.

[0079] Further, the system further comprises:

[0080] A first comparison data module is configured to perform support beam data acquisition through the leveling device when the support construction is completed, obtain beam leveling data, and use the beam leveling data as first comparison data.

[0081] A second comparison data module is configured to set an interval window, perform data re-measurement on the support beam at a window node of the interval window, obtain re-measurement data of the leveling device, and use the re-measurement data as second comparison data.

[0082] A verification result module is configured to generate a third verification result according to the first comparison data and the second comparison data.

[0083] A construction management module is configured to perform steel box girder construction management according to the first verification result, the second verification result, and the third verification result.

[0084] Further, the system further comprises:

[0085] A data setting module is configured to set calibrated leveling data of the beam.

[0086] A first deviation comparison module is configured to perform deviation comparison based on the first comparison data and the calibrated leveling data, and generate a first deviation comparison result, wherein the first deviation comparison result has a first influence coefficient.

[0087] A second deviation comparison module is configured to perform deviation comparison based on the second comparison data and the calibrated leveling data, and generate a second deviation comparison result, wherein the second deviation comparison result has a second influence coefficient.

[0088] A weighting calculation module is configured to calculate the first deviation comparison result by the first influence coefficient, calculate the second deviation comparison result by the second influence coefficient, perform influence analysis according to the calculation results, and generate the third verification result.

[0089] Further, the system further comprises:

[0090] A layout module is configured to obtain layout information of the image acquisition device;

[0091] An association module is configured to determine a response area and cooperative processing association according to the layout information;

[0092] A first continuous monitoring module is configured to, when supervising the hoisting object by the image acquisition device, first acquire images by M image acquisition devices of a corresponding area matched with an initial position area of the hoisting object, and perform continuous monitoring to generate a first follow-up image set;

[0093] A first position recognition module is configured to recognize the position of the hoisting object in the first follow-up image set;

[0094] A second continuous monitoring module is configured to, when determining that the position is in a first cooperative processing area, synchronously call N image acquisition devices to acquire images of the hoisting object, and perform continuous monitoring to generate a second follow-up image set;

[0095] A set forming module is configured to form the follow-up image set based on the first follow-up image set and the second follow-up image set.

[0096] Further, the system further comprises:

[0097] A second position recognition module is configured to recognize the position of the hoisting object based on the second follow-up image set;

[0098] An acquisition end module is configured to, when determining that the position is not in the first cooperative processing area, end data acquisition of the M image acquisition devices.

[0099] Further, the system further comprises:

[0100] An initial measurement module is configured to, after setting of the support column is completed, perform initial measurement on the settlement monitoring point to obtain initial measurement data, and take the initial measurement data as an initial value;

[0101] The settlement re-measurement module is configured to, after any hoisting is completed, perform settlement re-measurement of the settlement monitoring point by the image acquisition device to obtain a settlement re-measurement result.

[0102] The output module is configured to perform supervision verification of settlement measurement according to the initial value and the settlement re-measurement result, and output the first verification result.

[0103] Further, the system further comprises:

[0104] The early warning level matching module is configured to perform early warning level matching according to the first verification result and the second verification result to obtain an early warning level matching result.

[0105] The early warning prompt module is configured to perform early warning prompt of the steel box girder construction by the early warning level matching result, and record response information.

[0106] The management module is configured to perform steel box girder construction management according to the early warning prompt and the response information.

[0107] The above description of the method for monitoring and managing the steel box girder construction enables those skilled in the art to clearly understand the system for monitoring and managing the steel box girder construction in the embodiment. As the device disclosed in the embodiment corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant parts are described in the method part.

[0108] The above description of the disclosed embodiments enables those skilled in the art to implement or use the present application. Various modifications to the embodiments will be apparent to those skilled in the art, and the general principles defined herein can be implemented in other embodiments without departing from the spirit or scope of the application. Therefore, the present application will not be limited to the embodiments shown herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A monitoring management method for steel box girder construction, characterized by, The method is applied to a monitoring management system in communication connection with a data interaction device, an image acquisition device and a calibration device, and the method comprises: The data interaction device is connected with a steel box girder construction site to read real-time construction data; Based on the real-time construction data, an observation reference point is set, and the image acquisition device is arranged according to the observation reference point; Based on the real-time construction data, a settlement monitoring point and a settlement monitoring period are set, the position of the settlement monitoring point of the support column is identified by the calibration device, and an identification number is generated; The image acquisition device is controlled by the settlement monitoring period to acquire images of the support column, and the first verification result is outputted by supervising and verifying the settlement measurement according to the image acquisition result and the identification number; Based on the real-time construction data, the identification feature of the hoisting object is generated, the feature tracking supervision of the identification feature is performed by the image acquisition device, and a follow-up image set is generated; The posture of the follow-up image set is recognized, and the second verification result is generated based on the posture recognition result; The steel box girder construction management is performed according to the first verification result and the second verification result.

2. The method of claim 1, wherein, The monitoring management system is in communication connection with a leveling device, and the method further comprises: After the support construction is completed, the support beam data is acquired by the leveling device to obtain leveling data of the support beam, and the leveling data of the support beam is taken as first comparison data; An interval window is set, and the data of the support beam is re-measured at the window node of the interval window to obtain re-measurement data of the leveling device, and the re-measurement data is taken as second comparison data; The third verification result is generated according to the first comparison data and the second comparison data; The steel box girder construction management is performed according to the first verification result, the second verification result and the third verification result.

3. The method of claim 2, wherein, The method further comprises: The calibration leveling data of the support beam is set; The first deviation comparison result is generated by comparing the first comparison data and the calibration leveling data, and the first deviation comparison result has a first influence coefficient; The second deviation comparison result is generated by comparing the second comparison data and the calibration leveling data, and the second deviation comparison result has a second influence coefficient; The first deviation comparison result is weighted by the first influence coefficient, the second deviation comparison result is weighted by the second influence coefficient, the influence analysis is performed according to the weighted calculation result, and the third verification result is generated.

4. The method of claim 1, wherein, The method further comprises: The arrangement information of the image acquisition device is obtained; The response area and the cooperative processing association are determined according to the arrangement information; When the hoisting object is supervised by the image acquisition device, the M image acquisition devices of the corresponding area matched with the initial position area of the hoisting object are called for image acquisition according to the initial position area of the hoisting object, and the first follow-up image set is generated by continuous monitoring; The position of the hoisting object is recognized from the first follow-up image set; When it is determined that the position is in the first cooperative processing area, then the N image acquisition devices are synchronously called to perform image acquisition of the hoisting object, and continuous monitoring is performed to generate a second follow-up image set; The first follow-up image set and the second follow-up image set are combined to form the follow-up image set.

5. The method of claim 4, wherein, The method further comprises: Based on the second follow-up image set, the position of the hoisting object is identified; When it is determined that the position is not in the first cooperative processing area, then the data acquisition of the M image acquisition devices is ended.

6. The method of claim 1, wherein, The method further comprises: After the setting of the support column is completed, initial measurement is performed on the settlement monitoring point to obtain initial measurement data, and the initial measurement data is taken as an initial value; After any hoisting is completed, the settlement of the settlement monitoring point is re-measured by the image acquisition device to obtain a settlement re-measurement result; According to the initial value and the settlement re-measurement result, supervision verification of the settlement measurement is performed, and a first verification result is output.

7. The method of claim 1, wherein, The method further comprises: According to the first verification result and the second verification result, a warning level matching result is obtained; The warning level matching result is used to perform a warning prompt for the steel box girder construction, and response information is recorded; According to the warning prompt and the response information, steel box girder construction management is performed.

8. A monitoring management system for steel box girder construction, characterized by, The monitoring management system is in communication connection with a data interaction device, an image acquisition device and a calibration device, and the system comprises: A data reading module, which is used to connect the data interaction device with the steel box girder construction site and read real-time construction data; An observation reference point module, which is used to set an observation reference point based on the real-time construction data, and arrange the image acquisition device according to the observation reference point; A number generation module, which is used to set a settlement monitoring point and a settlement monitoring period according to the real-time construction data, identify the position of the settlement monitoring point of the support column by the calibration device, and generate an identification number; A supervision verification module, which is used to control the image acquisition device to perform image acquisition of the support column through the settlement monitoring period, perform supervision verification of the settlement measurement according to the image acquisition result and the identification number, and output a first verification result; An identification feature module, which is used to generate an identification feature of a hoisting object based on the real-time construction data, perform feature tracking supervision of the identification feature by the image acquisition device, and generate a follow-up image set; A posture recognition module, which is used to perform posture recognition on the follow-up image set, and generate a second verification result based on the posture recognition result; A construction management module, which is used to perform steel box girder construction management according to the first verification result and the second verification result.

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