An integrated cloud platform for data collection and analysis of smart construction sites for engineering projects based on remote video monitoring and cloud computing

Abstract

The present invention discloses an integrated cloud platform for data collection and analysis of smart construction sites of engineering projects based on remote video monitoring and cloud computing, comprising a construction material stacking area statistics module, a monitoring terminal equipment setting module, a construction material image collection module, a material type judgment and identification module, a construction material stacking area environmental parameter collection module, a material fetching personnel identity identification module, a construction material stacking area three-dimensional image collection module, a safety analysis module, an early warning module, a material database, a management cloud platform and a display terminal. The platform collects construction material data of construction material stacking areas existing on construction sites of construction projects, wherein the construction material data specifically includes material type, environmental parameters and stacking parameters. The acquired construction material data is then comprehensively analyzed to obtain a comprehensive stacking hazard factor corresponding to each construction material stacking area, thereby realizing safety monitoring of construction materials on construction sites.

Description

Technical Field

[0001] The present invention belongs to the technical field of construction site data collection and analysis, and in particular to construction material data collection and analysis technology, and specifically is an integrated cloud platform for data collection and analysis of smart construction sites for engineering projects based on remote video monitoring and cloud computing. Background Art

[0002] With the rapid development of my country's social economy, the urban population and scale are concentrated and expanded, the urbanization process is accelerated, and the construction industry is also increasingly prosperous, making construction sites everywhere in the city. As a vital physical part of the construction project, construction materials can be seen everywhere on the construction site of the construction project. However, since the construction site is an area with complex environment and complex personnel, it is easy to have some safety hazards in the stacking process of construction materials, such as the suitability of the storage environment and the stability of the stacking. When the storage environment is improper, it is very likely to cause the construction materials to be corroded. When corroded construction materials are used for construction, it will inevitably affect the quality of the construction project; when the stacking is unstable, it is very likely to cause the construction materials to collapse, which will cause the construction materials to be damaged by impact during the collapse process, and even more seriously affect the personal safety of surrounding construction workers. Therefore, it is very necessary to carry out safety monitoring of construction materials on construction sites.

[0003] In order to monitor the safety of construction materials on construction sites, it is necessary to collect data on the construction materials on the construction sites, and then analyze the collected construction material data to achieve the purpose of safety monitoring of construction materials. Summary of the invention

[0004] To achieve the above-mentioned purpose, the present invention proposes an integrated cloud platform for data collection and analysis of smart construction sites of engineering projects based on remote video monitoring and cloud computing. By performing video monitoring on the construction material stacking areas on the construction sites of construction projects, the material type and stacking parameters corresponding to each construction material stacking area are obtained. At the same time, the environmental parameters of each construction material stacking area are collected. The construction material data obtained and collected above are then analyzed to obtain the comprehensive stacking hazard factor corresponding to the construction material stacking area, thereby realizing safe monitoring of construction materials on construction sites.

[0005] The present invention is achieved through the following technical solutions:

[0006] An integrated cloud platform for data collection and analysis of smart construction sites for engineering projects based on remote video monitoring and cloud computing, including a construction material stacking area statistics module, a monitoring terminal equipment setting module, a construction material image acquisition module, a material type judgment and identification module, a construction material stacking area environmental parameter acquisition module, a material collection personnel identity recognition module, a construction material stacking area 3D image acquisition module, a safety analysis module, an early warning module, a material database, a management cloud platform and a display terminal;

[0007] The construction material stacking area statistics module is used to count the construction material stacking areas existing on the construction site of the building project, and number each of the counted construction material stacking areas, marking them as 1, 2, ..., i, ..., n in sequence;

[0008] The monitoring terminal equipment setting module is used to set up a video monitoring terminal and an early warning terminal above each construction material stacking area, and is used to perform video monitoring and early warning on each construction material stacking area in real time;

[0009] The construction material image acquisition module is used to acquire images of the construction materials stacked in each construction material stacking area through a video monitoring terminal, and transmit the images to the material type judgment and recognition module;

[0010] The material type determination and identification module is used to analyze and identify the received construction material images corresponding to each construction material stacking area to determine the material type corresponding to each construction material stacking area, and transmit it to the safety analysis module;

[0011] The construction material stacking area environmental parameter collection module is used to arrange detection points in each construction material stacking area, and number the arranged detection points, marking them as 1, 2, ..., j, ..., m, respectively, and then collect environmental parameters for each detection point, and transmit the collected environmental parameters to the safety analysis module;

[0012] The material-collecting personnel identification module is used to identify the material-collecting personnel corresponding to each construction material storage area in real time through the video monitoring terminal, and transmit the identification results to the safety analysis module;

[0013] The three-dimensional image acquisition module of the construction material stacking area is used to acquire three-dimensional images of each construction material stacking area through a video monitoring terminal and transmit them to the safety analysis module;

[0014] The safety analysis module is used to evaluate the stacking environment discomfort coefficient of each construction material stacking area according to the material type and environmental parameters corresponding to each construction material stacking area, and transmit the facial image corresponding to the identified non-construction personnel to the display terminal, and analyze the three-dimensional image of each construction material stacking area, and then calculate the stacking instability coefficient corresponding to each material stacking area;

[0015] The management cloud platform is used to analyze the stacking environment discomfort coefficient and stacking instability coefficient of each construction material stacking area, and screen out dangerous construction material stacking areas;

[0016] The warning module is used to start the warning terminal corresponding to the dangerous construction material storage area according to the number corresponding to the screened dangerous construction material storage area to issue a warning;

[0017] The display terminal is used to display the numbers corresponding to the screened dangerous construction material storage areas and the facial images of non-construction personnel.

[0018] As a preferred technical solution, the video monitoring terminal includes a monitoring camera and a stereo camera, and the early warning terminal is an alarm.

[0019] As an optimal technical solution, the material database is used to store material appearance characteristics corresponding to various material types, store suitable storage environment parameters corresponding to various material types, store stable stacking heights corresponding to various stacking volumes under various stacking slopes, and store weight proportional coefficients corresponding to stacking environment and stacking stability.

[0020] As a preferred technical solution, the material type determination and identification module determines the material type corresponding to each construction material storage area, and the specific determination method is as follows:

[0021] H1: Extract material shape features from the construction material images corresponding to each construction material stacking area;

[0022] H2: Compare the extracted material shape features with the material shape features corresponding to various material types in the material database. If the material shape features extracted from the construction material image corresponding to a certain construction material stacking area are successfully compared with the material shape features corresponding to a certain material type, then the material type corresponding to the construction material stacking area is the material type.

[0023] As a preferred technical solution, the environmental parameters include temperature, humidity and light intensity.

[0024] As a preferred technical solution, the material taking personnel identification module performs identification of the material taking personnel corresponding to each construction material stacking area in real time through a video monitoring terminal, and the specific identification process includes the following steps:

[0025] D1: The surveillance camera in the video surveillance terminal corresponding to each construction material stacking area performs real-time scanning on the construction material stacking area. When a person taking construction materials is detected, the surveillance camera tracks the person taking materials and then collects the facial image of the person taking materials;

[0026] D2: Match the collected facial image of the material-collecting personnel with the facial images corresponding to all the construction personnel on the construction site one by one. If the match is successful, it indicates that the material-collecting personnel is a construction personnel. If the match fails, it indicates that the material-collecting personnel is not a construction personnel.

[0027] As a preferred technical solution, the specific evaluation method of the stacking environment discomfort coefficient corresponding to each construction material stacking area is as follows:

[0028] F1: The environmental parameters of each detection point in each construction material stacking area are combined to form the environmental parameter set G of the detection point in the construction material stacking area w i (g w i 1,g w i 2,...,g w i j,...,g w i m),g w i j represents the value of the environmental parameter corresponding to the jth detection point in the i-th construction material stacking area, w represents the environmental parameter, w = r1, r2, r3, representing temperature, humidity, and light intensity respectively;

[0029] F2: According to the material type corresponding to each construction material stacking area, extract the appropriate storage environment parameters of the material type corresponding to each construction material stacking area from the material database;

[0030] F3: Compare the environmental parameter set of the detection points in the construction material stacking area with the suitable storage environmental parameters of the corresponding material types in each construction material stacking area to obtain the comparison set of environmental parameters of the detection points in the construction material stacking area ΔG w i (Δg w i 1,Δg w i 2,...,Δg w i j,...,Δg w i m), and thus the stacking environment discomfort coefficient corresponding to each construction material stacking area is evaluated according to the comparison set of environmental parameters of the detection points in the construction material stacking area. The evaluation calculation formula is: η i It is expressed as the stacking environment discomfort coefficient corresponding to the i-th construction material stacking area, Δg r1 i j, Δg r2 i j, Δg r3 i j represents the difference between the temperature, humidity, and light intensity of the jth detection point in the i-th construction material stacking area and the suitable storage temperature, suitable storage humidity, and suitable storage light intensity of the corresponding material type in the construction material stacking area, respectively; g′ r 1i, g′ r 2i, g′ r3 i They are respectively represented as the suitable storage temperature, suitable storage humidity, and suitable storage light intensity for the material type corresponding to the i-th construction material stacking area.

[0031] As a preferred technical solution, the specific statistical method for the stacking instability coefficient corresponding to each material stacking area is as follows:

[0032] T1: Collecting stacking parameters from the three-dimensional images of each construction material stacking area, where the stacking parameters include stacking volume, stacking slope and stacking height;

[0033] T2: Compare the stacking slope corresponding to each construction material stacking area with the stable stacking height corresponding to various stacking volumes under various stacking slopes in the material database, and obtain the stable stacking height corresponding to various stacking volumes under the current stacking slope of each construction material stacking area, and then compare the stacking volume corresponding to each construction material stacking area with the stable stacking height corresponding to various stacking volumes under the current stacking slope of each construction material stacking area, and select the stable stacking height corresponding to each construction material stacking area;

[0034] T3: Compare the stacking height corresponding to each construction material stacking area with the stable stacking height, and calculate the stacking instability coefficient corresponding to each construction material stacking area. The calculation formula is: σ i It is expressed as the stacking instability coefficient corresponding to the i-th construction material stacking area, h i , H i They are respectively represented as the stacking height and stable stacking height corresponding to the i-th construction material stacking area.

[0035] As a preferred technical solution, the specific screening method for screening out the dangerous construction material storage area performs the following steps:

[0036] Z1: Calculate the comprehensive stacking hazard factor corresponding to each construction material stacking area based on the stacking environment discomfort coefficient and stacking instability coefficient corresponding to each construction material stacking area. The calculation formula is: It is represented as the comprehensive stacking hazard coefficient corresponding to the i-th construction material stacking area, a and b are the weighted proportional coefficients corresponding to the stacking environment and stacking stability respectively;

[0037] Z2: Compare the comprehensive stacking hazard factor corresponding to each construction material stacking area with the set minimum comprehensive stacking hazard factor. If the comprehensive stacking hazard factor corresponding to a construction material stacking area is greater than the minimum comprehensive stacking hazard factor, then the construction material stacking area is recorded as a dangerous construction material stacking area.

[0038] As an optimal technical solution, after screening out the dangerous construction material storage areas, the management cloud platform also locates the geographical location of the dangerous construction material storage areas, and sends the located geographical location of the dangerous construction material storage areas to the display terminal for display.

[0039] The beneficial effects of the present invention are as follows:

[0040] (1) The present invention collects statistics on the construction material stacking areas existing on the construction site of the building project, and collects and obtains the construction material data corresponding to each construction material stacking area, wherein the construction material data specifically includes material type, environmental parameters and stacking parameters, and then comprehensively analyzes the obtained construction material data to obtain the comprehensive stacking hazard coefficient corresponding to each construction material stacking area, and accordingly screens out the dangerous construction material stacking areas from each construction material stacking area, and simultaneously issues an early warning for the screened out dangerous construction material stacking areas, thereby realizing the safety monitoring of construction materials on the construction site of the building project, being able to timely discover the safety hazards existing in the stacking of construction materials, and greatly reducing the occurrence of safety accidents on the construction site caused by the safety hazards existing in the stacking of construction materials, thereby effectively ensuring the safety of the construction materials themselves on the one hand, and the safety of the construction personnel around the stacking area of ​​construction materials on the other hand.

[0041] (2) In the process of collecting and acquiring construction material data corresponding to each construction material stacking area, the present invention also identifies the personnel who pick up materials corresponding to the construction material stacking area, so as to avoid non-construction personnel taking construction materials without timely discovery, causing loss of construction materials and increasing the construction material costs of the construction company.

[0042] (3) The present invention uses remote video monitoring technology in the process of collecting construction material data corresponding to each construction material stacking area and identifying the identity of the material picker. By setting up a video monitoring terminal in each construction material stacking area, each construction material stacking area is remotely monitored, thereby realizing real-time monitoring and no-dead-angle monitoring of the construction material stacking area, improving the monitoring efficiency and monitoring reliability, not only reducing the manpower cost caused by manual patrol monitoring, but also avoiding the occurrence of the inability to monitor in real time and monitoring omissions caused by manual monitoring means, reflecting the characteristics of high intelligence level and strong practicality. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] The present invention is further described using the accompanying drawings, but the embodiments in the accompanying drawings do not constitute any limitation to the present invention. A person skilled in the art can obtain other drawings based on the following drawings without creative work.

[0044] Figure 1 It is a schematic diagram of module connection of the present invention. DETAILED DESCRIPTION

[0045] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0046] Reference Figure 1 As shown, an integrated cloud platform for data collection and analysis of smart construction sites for engineering projects based on remote video monitoring and cloud computing includes a construction material stacking area statistics module, a monitoring terminal equipment setting module, a construction material image collection module, a material type judgment and identification module, a construction material stacking area environmental parameter collection module, a material collection personnel identity recognition module, a construction material stacking area three-dimensional image collection module, a safety analysis module, an early warning module, a material database, a management cloud platform and a display terminal.

[0047] Among them, the construction material stacking area statistics module is connected to the monitoring terminal equipment setting module, the monitoring terminal equipment setting module is respectively connected to the construction material image acquisition module, the material picking personnel identity recognition module and the construction material stacking area three-dimensional image acquisition module, the construction material image acquisition module is connected to the material type judgment and recognition module, the material type judgment and recognition module, the construction material stacking area environmental parameter acquisition module, the material picking personnel identity recognition module and the construction material stacking area three-dimensional image acquisition module are all connected to the safety analysis module, the safety analysis module is respectively connected to the management cloud platform and the display terminal, and the management cloud platform is respectively connected to the early warning module and the display terminal.

[0048] The construction material stacking area statistics module is used to count the construction material stacking areas existing on the construction site of the building project, and to number each of the counted construction material stacking areas, marking them sequentially as 1, 2, ..., i, ..., n.

[0049] The monitoring terminal equipment setting module is used to set up video monitoring terminals and early warning terminals above each construction material stacking area, which is used for real-time video monitoring and early warning of each construction material stacking area. The video monitoring terminal includes a monitoring camera and a stereo camera. The monitoring camera is used to collect images of construction materials and facial images of material pickers in each construction material stacking area, and the stereo camera is used to collect three-dimensional images of each construction material stacking area. The early warning terminal is an alarm.

[0050] This embodiment provides a reliable and convenient collection device for collecting construction material data in each construction material stacking area by setting a video monitoring terminal in each construction material stacking area.

[0051] The construction material image acquisition module is used to acquire images of the construction materials stacked in each construction material stacking area through the monitoring camera in the video monitoring terminal, and transmit them to the material type judgment and recognition module.

[0052] The material database is used to store the material appearance characteristics corresponding to various material types, including wood type, cement type, concrete type, brick and tile type, plastic type, etc., store the suitable storage environment parameters corresponding to various material types, store the stable stacking heights corresponding to various stacking volumes under various stacking slopes, and store the weight ratio coefficients corresponding to the stacking environment and stacking stability.

[0053] The material type judgment and identification module is used to analyze and identify the received construction material images corresponding to each construction material stacking area to determine the material type corresponding to each construction material stacking area, and send the determined material type corresponding to each construction material stacking area to the safety analysis module, wherein the specific material type judgment method is as follows:

[0054] H1: Extracting material appearance features from the construction material images corresponding to each construction material stacking area, where the material appearance features include material shape, color, texture, etc.;

[0055] H2: Compare the extracted material shape features with the material shape features corresponding to various material types in the material database. If the material shape features extracted from the construction material image corresponding to a certain construction material stacking area are successfully compared with the material shape features corresponding to a certain material type, then the material type corresponding to the construction material stacking area is determined.

[0056] The construction material storage area environmental parameter collection module is used to arrange detection points in each construction material storage area. The specific arrangement method is as follows:

[0057] U1: Divide each construction material stacking area into three-dimensional space grids to obtain sub-areas;

[0058] U2: Set detection points at the center positions corresponding to the divided sub-areas to obtain a number of detection points.

[0059] At the same time, the deployed detection points are numbered and marked as 1, 2, ..., j, ..., m, and then environmental parameter collection equipment is set at each detection point to collect environmental parameters of each detection point. The environmental parameters include temperature, humidity and light intensity. The environmental parameter collection equipment includes a temperature sensor, a humidity sensor and a light sensor. The temperature sensor is used to collect the temperature of each detection point, the humidity sensor is used to collect the humidity of each detection point, and the light sensor is used to collect the light intensity of each detection point. The collected environmental parameters of each detection point corresponding to each construction material stacking area are transmitted to the safety analysis module.

[0060] This embodiment arranges detection points in each construction material stacking area and collects the environmental parameters of each detection point, thereby providing a large amount of environmental parameter data for the subsequent evaluation of the stacking environment unsuitability coefficient corresponding to the construction material stacking area, thereby avoiding the collection error caused by only collecting the environmental parameters of a single detection point in the construction material stacking area, affecting the authenticity of the environmental parameters, and further affecting the accuracy of the evaluation of the stacking environment unsuitability coefficient.

[0061] In this embodiment, temperature, humidity and light intensity are selected as environmental parameters of the construction material stacking area because temperature, humidity and light intensity have a great influence on the storage quality of construction materials during the storage process.

[0062] The material-collecting personnel identification module is used to identify the material-collecting personnel corresponding to each construction material storage area in real time through the monitoring camera in the video monitoring terminal. The specific identification process includes the following steps:

[0063] D1: The surveillance camera in the video surveillance terminal corresponding to each construction material stacking area performs real-time scanning on the construction material stacking area. When a person taking construction materials is detected, the surveillance camera tracks the person taking materials and then collects the facial image of the person taking materials;

[0064] D2: Match the collected facial images of the material-collecting personnel with the corresponding facial images of all construction personnel on the construction site one by one. If the match is successful, it indicates that the material-collecting personnel is a construction personnel. If the match fails, it indicates that the material-collecting personnel is not a construction personnel, and the identity recognition result is transmitted to the security analysis module.

[0065] In the process of collecting and acquiring construction material data corresponding to each construction material stacking area, this embodiment also identifies the identity of the material pickers corresponding to the construction material stacking area to avoid non-construction personnel taking construction materials without timely discovery, causing loss of construction materials and increasing the construction material costs of the construction company.

[0066] The three-dimensional image acquisition module of the construction material stacking area is used to collect three-dimensional images of each construction material stacking area through the stereo camera in the video monitoring terminal, and transmit them to the safety analysis module.

[0067] The safety analysis module receives the material type corresponding to each construction material stacking area sent by the material type judgment and identification module and the environmental parameters of each detection point in each construction material stacking area sent by the construction material stacking area environmental parameter collection module, and then evaluates the stacking environment discomfort coefficient of each construction material stacking area. The specific evaluation method is as follows:

[0068] F1: The environmental parameters of each detection point in each construction material stacking area are combined to form the environmental parameter set G of the detection point in the construction material stacking area w i (g w i 1,g w i 2,...,g w i j,...,g w i m),g w i j represents the value of the environmental parameter corresponding to the jth detection point in the i-th construction material stacking area, w represents the environmental parameter, w = r1, r2, r3, representing temperature, humidity, and light intensity respectively;

[0069] F2: According to the material type corresponding to each construction material stacking area, extract the appropriate storage environment parameters of the material type corresponding to each construction material stacking area from the material database;

[0070] F3: Compare the environmental parameter set of the detection points in the construction material stacking area with the suitable storage environmental parameters of the corresponding material types in each construction material stacking area to obtain the comparison set of environmental parameters of the detection points in the construction material stacking area ΔG w i (Δg wi 1,Δg w i 2,...,Δg w i j,...,Δg w i m), and thus the stacking environment discomfort coefficient corresponding to each construction material stacking area is evaluated according to the comparison set of environmental parameters of the detection points in the construction material stacking area. The evaluation calculation formula is: η i It is expressed as the stacking environment discomfort coefficient corresponding to the i-th construction material stacking area, Δg r1 i j, Δg r2 i j, Δg r3 i j represents the difference between the temperature, humidity, and light intensity of the jth detection point in the i-th construction material stacking area and the suitable storage temperature, suitable storage humidity, and suitable storage light intensity of the corresponding material type in the construction material stacking area, respectively; g′ r1 i , g′ r2 i , g′ r3 i They are respectively represented as the suitable storage temperature, suitable storage humidity, and suitable storage light intensity for the material type corresponding to the i-th construction material stacking area. The larger the stacking environment unsuitability coefficient is, the greater the safety hazard corresponding to the stacking environment is.

[0071] The security analysis module also receives the material picking personnel identification result sent by the material picking personnel identification module. If the material picking personnel identification result is a construction personnel, no processing is performed. If the material picking personnel identification result is a non-construction personnel, the facial image corresponding to the non-construction personnel is transmitted to the display terminal.

[0072] At the same time, the safety analysis module also receives the three-dimensional images of each construction material stacking area sent by the three-dimensional image acquisition module of the construction material stacking area, and analyzes the three-dimensional images of each construction material stacking area, and then counts the stacking instability coefficient corresponding to each material stacking area, and then sends the stacking environment unsuitability coefficient and stacking instability coefficient corresponding to each material stacking area to the management cloud platform. The specific statistical method of the stacking instability coefficient is as follows:

[0073] T1: grayscale the three-dimensional images of each construction material stacking area to obtain the three-dimensional grayscale images of each construction material stacking area, and use edge extraction technology to extract the edge three-dimensional contour lines corresponding to each construction material stacking area, and then collect the stacking parameters corresponding to each construction material stacking area according to the extracted edge three-dimensional contour lines, wherein the stacking parameters include stacking volume, stacking slope and stacking height;

[0074] T2: Compare the stacking slope corresponding to each construction material stacking area with the stable stacking height corresponding to various stacking volumes under various stacking slopes in the material database, and obtain the stable stacking height corresponding to various stacking volumes under the current stacking slope of each construction material stacking area, and then compare the stacking volume corresponding to each construction material stacking area with the stable stacking height corresponding to various stacking volumes under the current stacking slope of each construction material stacking area, and select the stable stacking height corresponding to each construction material stacking area;

[0075] T3: Compare the stacking height corresponding to each construction material stacking area with the stable stacking height, and calculate the stacking instability coefficient corresponding to each construction material stacking area. The calculation formula is: σ i It is expressed as the stacking instability coefficient corresponding to the i-th construction material stacking area, h i , H i They are respectively represented as the stacking height and stable stacking height corresponding to the i-th construction material stacking area. The larger the stacking instability coefficient, the worse the stacking stability.

[0076] The management cloud platform is used to analyze the stacking environment discomfort coefficient and stacking instability coefficient of each construction material stacking area, screen out the dangerous construction material stacking area, and obtain the number of the dangerous construction material stacking area, and then send the number of the dangerous construction material stacking area to the early warning module and the display terminal respectively. At the same time, the geographical location of the dangerous construction material stacking area is located, and the geographical location of the located dangerous construction material stacking area is sent to the display terminal. The specific screening method of the dangerous construction material stacking area performs the following steps:

[0077] Z1: Calculate the comprehensive stacking hazard factor corresponding to each construction material stacking area based on the stacking environment discomfort coefficient and stacking instability coefficient corresponding to each construction material stacking area. The calculation formula is: It is represented as the comprehensive stacking hazard coefficient corresponding to the i-th construction material stacking area, a and b are the weighted proportional coefficients corresponding to the stacking environment and stacking stability respectively;

[0078] Z2: Compare the comprehensive stacking hazard factor corresponding to each construction material stacking area with the set minimum comprehensive stacking hazard factor. If the comprehensive stacking hazard factor corresponding to a construction material stacking area is greater than the minimum comprehensive stacking hazard factor, then the construction material stacking area is recorded as a dangerous construction material stacking area.

[0079] This embodiment uses remote video monitoring technology in the process of collecting construction material data corresponding to each construction material stacking area and identifying the identity of the material picker. By setting up a video monitoring terminal in each construction material stacking area, each construction material stacking area is remotely monitored, thereby realizing real-time monitoring and no-dead-angle monitoring of the construction material stacking area, improving the monitoring efficiency and monitoring reliability, not only reducing the manpower cost caused by manual patrol monitoring, but also avoiding the occurrence of the inability to monitor in real time and monitoring omissions caused by manual monitoring means, reflecting the characteristics of high intelligence level and strong practicality.

[0080] The early warning module is used to receive the numbers corresponding to the dangerous construction material stacking areas sent by the management cloud platform, and start the early warning terminal corresponding to the dangerous construction material stacking area according to the numbers of the received dangerous construction material stacking areas, and issue an early warning to alert the construction site management personnel.

[0081] The display terminal respectively receives the facial images of non-construction personnel sent by the safety analysis module and the numbers and geographical locations of the dangerous construction material stacking areas sent by the management cloud platform, and displays them. The displayed facial images of non-construction personnel are convenient for construction site managers to quickly find the non-construction personnel based on the facial images of non-construction personnel, thereby preventing the non-construction personnel from leaving the construction site. The displayed numbers and geographical locations of the dangerous construction material stacking areas are convenient for construction site managers to intuitively understand the location of the dangerous construction material stacking areas, and provide dispersal targets for the subsequent dispersal of construction personnel around the dangerous construction material stacking areas.

[0082] The present invention collects construction material data from construction material stacking areas on construction sites of construction projects, wherein the construction material data specifically include material type, environmental parameters and stacking parameters, and then comprehensively analyzes the acquired construction material data to obtain a comprehensive stacking hazard factor corresponding to each construction material stacking area, thereby realizing safe monitoring of construction materials on construction sites, being able to timely discover potential safety hazards in the stacking of construction materials, and greatly reducing the occurrence of safety accidents on construction sites caused by potential safety hazards in the stacking of construction materials, thereby effectively ensuring the safety of the construction materials themselves on the one hand, and the safety of construction personnel around the construction material stacking areas on the other hand.

[0083] The above contents are merely examples and explanations of the structure of the present invention. The technicians in this technical field may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the structure of the invention or exceed the scope defined by the claims, they should all fall within the protection scope of the present invention.

Claims

1. An integrated cloud platform for data collection and analysis of smart construction sites for engineering projects based on remote video monitoring and cloud computing, featuring: It includes a construction material stacking area statistics module, a monitoring terminal equipment setting module, a construction material image acquisition module, a material type judgment and identification module, a construction material stacking area environmental parameter acquisition module, a material picking personnel identity recognition module, a construction material stacking area three-dimensional image acquisition module, a safety analysis module, an early warning module, a material database, a management cloud platform and a display terminal; The construction material stacking area statistics module is used to count the construction material stacking area existing on the construction site of the building project, and the statistics of each construction material stacking area is numbered, marked as 1,2, ..., i, ..., n; The monitoring terminal equipment setting module is used to set up a video monitoring terminal and an early warning terminal above each construction material stacking area, and is used to perform video monitoring and early warning on each construction material stacking area in real time; The construction material image acquisition module is used to acquire images of the construction materials stacked in each construction material stacking area through a video monitoring terminal, and transmit the images to the material type judgment and recognition module; The material type determination and identification module is used to analyze and identify the received construction material images corresponding to each construction material stacking area to determine the material type corresponding to each construction material stacking area, and transmit it to the safety analysis module; The construction material stacking area environmental parameter collection module is used to arrange detection points in each construction material stacking area, and number the arranged detection points, marking them as 1, 2, ..., j, ..., m, respectively, and then collect environmental parameters for each detection point, and transmit the collected environmental parameters to the safety analysis module; The material-collecting personnel identification module is used to identify the material-collecting personnel corresponding to each construction material storage area in real time through the video monitoring terminal, and transmit the identification results to the safety analysis module; The three-dimensional image acquisition module of the construction material stacking area is used to acquire three-dimensional images of each construction material stacking area through a video monitoring terminal and transmit them to the safety analysis module; The safety analysis module is used to evaluate the stacking environment discomfort coefficient of each construction material stacking area according to the material type and environmental parameters corresponding to each construction material stacking area, and transmit the facial image corresponding to the identified non-construction personnel to the display terminal, and analyze the three-dimensional image of each construction material stacking area, and then calculate the stacking instability coefficient corresponding to each material stacking area; The management cloud platform is used to analyze the stacking environment discomfort coefficient and stacking instability coefficient of each construction material stacking area, and screen out dangerous construction material stacking areas; The warning module is used to start the warning terminal corresponding to the dangerous construction material storage area according to the number corresponding to the screened dangerous construction material storage area to issue a warning; The display terminal is used to display the numbers corresponding to the screened dangerous construction material storage areas and the facial images of non-construction personnel; The specific evaluation method of the stacking environment unsuitability coefficient corresponding to each construction material stacking area is as follows: F1: The environmental parameters of each detection point in each construction material stacking area are used to form a set of environmental parameters of the detection points in the construction material stacking area. , It is represented by the value of the environmental parameter corresponding to the jth detection point in the i-th construction material storage area, w is represented by the environmental parameter, w=r1, r2, r3, respectively represents temperature, humidity, and light intensity; F2: According to the material type corresponding to each construction material stacking area, extract the appropriate storage environment parameters of the material type corresponding to each construction material stacking area from the material database; F3: Compare the environmental parameter set of the detection points in the construction material stacking area with the suitable storage environmental parameters of the corresponding material types in each construction material stacking area to obtain the comparison set of environmental parameters of the detection points in the construction material stacking area Therefore, the stacking environment discomfort coefficient corresponding to each construction material stacking area is evaluated based on the comparison set of environmental parameters of the detection points in the construction material stacking area. The evaluation calculation formula is: , It is expressed as the stacking environment discomfort coefficient corresponding to the i-th construction material stacking area, , , They are respectively represented as the contrast difference between the temperature, humidity, and light intensity of the jth detection point corresponding to the i-th construction material stacking area and the suitable storage temperature, suitable storage humidity, and suitable storage light intensity of the corresponding material type in the construction material stacking area. , , They are respectively represented as the suitable storage temperature, suitable storage humidity, and suitable storage light intensity for the material type corresponding to the i-th construction material stacking area; The specific statistical method for the stacking instability coefficient corresponding to each material stacking area is as follows: T1: Collecting stacking parameters from the three-dimensional images of each construction material stacking area, where the stacking parameters include stacking volume, stacking slope and stacking height; T2: Compare the stacking slope corresponding to each construction material stacking area with the stable stacking height corresponding to various stacking volumes under various stacking slopes in the material database, and obtain the stable stacking height corresponding to various stacking volumes under the current stacking slope of each construction material stacking area, and then compare the stacking volume corresponding to each construction material stacking area with the stable stacking height corresponding to various stacking volumes under the current stacking slope of each construction material stacking area, and select the stable stacking height corresponding to each construction material stacking area; T3: Compare the stacking height corresponding to each construction material stacking area with the stable stacking height, and calculate the stacking instability coefficient corresponding to each construction material stacking area. The calculation formula is: , It is expressed as the stacking instability coefficient corresponding to the i-th construction material stacking area, , They are respectively represented as the stacking height and stable stacking height corresponding to the i-th construction material stacking area; The specific screening method for screening out the dangerous construction material storage area performs the following steps: Z1: Calculate the comprehensive stacking hazard factor corresponding to each construction material stacking area based on the stacking environment discomfort coefficient and stacking instability coefficient corresponding to each construction material stacking area. The calculation formula is: , It is represented as the comprehensive stacking hazard coefficient corresponding to the i-th construction material stacking area, a and b are the weighted proportional coefficients corresponding to the stacking environment and stacking stability respectively; Z2: Compare the comprehensive stacking hazard factor corresponding to each construction material stacking area with the set minimum comprehensive stacking hazard factor. If the comprehensive stacking hazard factor corresponding to a construction material stacking area is greater than the minimum comprehensive stacking hazard factor, then the construction material stacking area is recorded as a dangerous construction material stacking area.

2. The integrated cloud platform for data collection and analysis of smart construction sites for engineering projects based on remote video monitoring and cloud computing according to claim 1 is characterized by: The video monitoring terminal includes a monitoring camera and a stereo camera, and the early warning terminal is an alarm.

3. The integrated cloud platform for data collection and analysis of smart construction sites for engineering projects based on remote video monitoring and cloud computing according to claim 1 is characterized by: The material database is used to store material appearance characteristics corresponding to various material types, store suitable storage environment parameters corresponding to various material types, store stable stacking heights corresponding to various stacking volumes under various stacking slopes, and store weight ratio coefficients corresponding to stacking environment and stacking stability.

4. The integrated cloud platform for data collection and analysis of smart construction sites for engineering projects based on remote video monitoring and cloud computing according to claim 1 is characterized by: The material type determination and identification module determines the material type corresponding to each construction material storage area, and the specific determination method is as follows: H1: Extract material shape features from the construction material images corresponding to each construction material stacking area; H2: Compare the extracted material shape features with the material shape features corresponding to various material types in the material database. If the material shape features extracted from the construction material image corresponding to a certain construction material stacking area are successfully compared with the material shape features corresponding to a certain material type, then the material type corresponding to the construction material stacking area is the material type.

5. The integrated cloud platform for data collection and analysis of smart construction sites for engineering projects based on remote video monitoring and cloud computing according to claim 1 is characterized by: The environmental parameters include temperature, humidity and light intensity.

6. The integrated cloud platform for data collection and analysis of smart construction sites for engineering projects based on remote video monitoring and cloud computing according to claim 1 is characterized by: The material taking personnel identification module performs identification of the material taking personnel corresponding to each construction material stacking area in real time through the video monitoring terminal, and the specific identification process includes the following steps: D1: The surveillance camera in the video surveillance terminal corresponding to each construction material stacking area performs real-time scanning on the construction material stacking area. When a person taking construction materials is detected, the surveillance camera tracks the person taking materials and then collects the facial image of the person taking materials; D2: Match the collected facial image of the material-collecting personnel with the facial images corresponding to all the construction personnel on the construction site one by one. If the match is successful, it indicates that the material-collecting personnel is a construction personnel. If the match fails, it indicates that the material-collecting personnel is not a construction personnel.

7. The integrated cloud platform for data collection and analysis of smart construction sites for engineering projects based on remote video monitoring and cloud computing according to claim 1 is characterized by: After screening out the dangerous construction material stacking areas, the management cloud platform also locates the geographical location of the dangerous construction material stacking areas, and sends the located geographical location of the dangerous construction material stacking areas to the display terminal for display.

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