CN114595994A - Based on thing networking wisdom building site cloud platform - Google Patents
Based on thing networking wisdom building site cloud platform Download PDFInfo
- Publication number
- CN114595994A CN114595994A CN202210270439.0A CN202210270439A CN114595994A CN 114595994 A CN114595994 A CN 114595994A CN 202210270439 A CN202210270439 A CN 202210270439A CN 114595994 A CN114595994 A CN 114595994A
- Authority
- CN
- China
- Prior art keywords
- progress
- risk
- unit
- construction
- preset
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/10—Office automation; Time management
- G06Q10/103—Workflow collaboration or project management
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06311—Scheduling, planning or task assignment for a person or group
- G06Q10/063116—Schedule adjustment for a person or group
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
Landscapes
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Engineering & Computer Science (AREA)
- Strategic Management (AREA)
- Entrepreneurship & Innovation (AREA)
- Economics (AREA)
- Tourism & Hospitality (AREA)
- Marketing (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Game Theory and Decision Science (AREA)
- Development Economics (AREA)
- Educational Administration (AREA)
- Data Mining & Analysis (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention relates to an Internet of things-based intelligent construction site cloud platform, which relates to the technical field of intelligent construction sites and comprises a comprehensive control center provided with a data receiving unit, an integrated analysis unit and an adjusting unit, a progress management system provided with a progress acquiring unit, a progress analysis unit, a progress judging unit and a progress sending unit, a risk management system provided with an image acquiring unit, an image analysis unit, a risk determining unit and a risk sending unit, and a material management system provided with a material data acquiring unit, a material data analysis unit and a material data sending unit, wherein when the comprehensive control center receives the unqualified data of one management project, the comprehensive control center determines whether the unqualified construction project needs to be integrally controlled and adjusted by determining whether the unqualified data of other related management projects is received, so that the control precision of the construction process is further improved, thereby further improving the construction efficiency.
Description
Technical Field
The invention relates to the technical field of smart construction sites, in particular to a smart construction site cloud platform based on the Internet of things.
Background
The thing networking is used as the information of synthesizing the thing, and the mode of the information of transmission thing that the information of thing was transmitted through communication mode, and it has brought very big convenience for people's production and life.
The application of the Internet of things is very extensive, especially in aspects such as wisdom life, wisdom construction and wisdom task transmission, but the supervision control is mostly carried out from a safe unilateral in current construction site to the investigation dynamics to the potential safety hazard is not high, therefore construction site based on safety still can not embody the thought of wisdom construction completely.
Chinese patent publication no: CN 113128961A. The invention discloses a smart building site management cloud platform which acquires construction project information and acquires a building model to be constructed of a current construction project according to the construction project information; then determining a construction process according to the building model to be constructed, and acquiring theoretical material demand and theoretical personnel and equipment demand corresponding to each construction link in the construction process; the construction progress of each construction link is monitored in real time, the theoretical material demand and the theoretical personnel and equipment demand are dynamically updated according to the construction progress to obtain the residual material demand and the residual personnel and equipment demand, and the current construction project is managed according to the residual material demand and the residual personnel and equipment demand, so that the resources of the construction project can be effectively and reasonably controlled, and the construction can be guaranteed to be carried out orderly; therefore, the intelligent building site management cloud platform only carries out the management and control of the construction process according to the requirements of material demand, progress and personnel and equipment, does not consider the safety problem of the construction process, and therefore cannot comprehensively carry out the management and control of the construction process, and the problem that the management and control precision of the construction process is not high is caused.
Disclosure of Invention
Therefore, the invention provides an Internet of things-based smart building site cloud platform which is used for overcoming the problems that in the prior art, the construction process is only controlled according to the material demand, the progress and the requirements of personnel and equipment, and the safety problem of the construction process is not considered, so that the construction process cannot be controlled comprehensively, and the control precision of the construction process is low.
In order to achieve the above object, the present invention provides an internet of things-based smart site cloud platform, including:
the comprehensive control center comprises a data receiving unit, an integration and analysis unit and an adjusting unit, wherein the data receiving unit is used for receiving construction site construction progress data, risk data and material data of an access site;
the progress management system is connected with the integrated control center and comprises a progress acquisition unit, a progress analysis unit, a progress judgment unit and a progress sending unit, wherein the progress acquisition unit is used for acquiring the progress data of the construction project of the construction site, the progress analysis unit is used for analyzing the progress data of the construction project acquired by the acquisition unit, the progress judgment unit is used for determining whether the construction progress is qualified or not according to the analysis result of the data analysis unit, and the progress sending unit is used for sending the judgment result of the progress judgment unit to the integrated control center;
the system comprises a risk management system, a risk analysis unit and a risk sending unit, wherein the risk management system is connected with a comprehensive control center and comprises an image acquisition unit, an image analysis unit, a risk determination unit and a risk sending unit, the image acquisition unit is used for acquiring a monitoring image of monitoring equipment placed in a construction project of a construction site, the image analysis unit is used for analyzing the monitoring image acquired by the image acquisition unit, the risk determination unit is used for determining whether risks and risk values exist in the construction site according to the analysis result of the image analysis unit, and the risk sending unit is used for sending the risks and the risk values determined by the risk determination unit to the comprehensive control center;
the image analysis unit analyzes the monitoring image, and the risk determination unit determines a site risk value Wc of a construction area corresponding to the monitoring image according to the total Dz of the number of the hidden dangers and an average risk coefficient f0 corresponding to the hidden dangers in the monitoring image, and sets Wc to Dz × f 0;
when the potential safety hazard exists in the region of each construction project, the image analysis unit further obtains whether a constructor exists in the corresponding potential safety hazard region, and when the constructor exists, determines a corresponding correction coefficient according to a comparison result of a distance G between the constructor and the potential safety hazard and a preset distance to correct the risk coefficient, sets the corrected risk coefficient to be f5, and sets f5 to be f α × Xfe, wherein f α is the risk coefficient of the potential safety hazard region, and Xfe is the correction coefficient of the risk coefficient.
Further, when the image analysis unit analyzes the image, the image analysis unit obtains a person risk value Wr and a site risk value Wc in the construction project, calculates a comprehensive risk value Wz, sets Wz as Wr × Qr + Wc × Qc, where Qr is a person risk weight and Qc is a site risk weight, the risk determination unit compares the comprehensive risk value Wz with a preset comprehensive risk value Wz0, and the risk determination unit determines whether a risk exists according to a comparison result,
if Wz is less than or equal to Wz0, the risk determination unit judges that the construction project has no risk;
if Wz > Wz0, the risk determination unit determines that the construction project is at risk.
Further, the risk determining unit calculates a risk difference value Δ Wz between the integrated risk value Wz and a preset integrated risk value Wz0 when it is determined that the construction project is at risk, sets Δ Wz-Wz0, the risk transmitting unit determines whether to transmit the risk value to the integrated control center according to a comparison result between the risk difference value and a preset risk difference value Δ Wz0,
if the delta Wz is larger than the delta Wz0, the risk sending unit judges to send a risk value to the comprehensive control center;
and if the delta Wz is less than or equal to the delta Wz0, the risk sending unit judges not to send the risk value to the comprehensive control center.
Further, the image analysis unit is further provided with a preset time duration t, where t is less than t1, the image analysis unit is further configured to obtain a risk coefficient f of a potential safety hazard region in the monitored image after the preset time duration t, if f is 0, the image analysis unit determines that the potential safety hazard corresponding to the monitored image is eliminated, if f is greater than 0, the risk determination unit compensates the site risk value, sets the compensated site risk value as Wc ', sets Wc' ═ Wc × β, where β equals 1.2.
Further, the progress analysis unit analyzes the construction project progress including comparing the construction project progress Y with a standard construction progress Y0, the progress determination unit determines whether the construction progress of the construction project is qualified according to the comparison result,
if Y is less than Y0, the progress judging unit judges that the construction progress is unqualified;
and if Y is larger than or equal to Y0, the progress judging unit judges that the construction progress is qualified.
Further, when the progress determination unit determines that the construction progress is not qualified, the progress analysis unit calculates a task quantity completion rate P within a preset number of days Tn, compares the task quantity completion rate P with a preset task quantity completion rate P0, the progress transmission unit determines whether to transmit progress data to the integrated control center according to the comparison result, sets P to be U1/U0+ U2/U0+ … + Un/U0, sets U1 to be a first day completion task quantity within the preset number of days Tn, U2 to be a second day completion task quantity within the preset number of days Tn, n is an nth day completion task quantity within the preset number of days Tn, and U0 is a single day standard task quantity,
if P is less than P0, the progress sending unit sends progress data to the comprehensive control center;
if P is larger than or equal to P0, the progress sending unit does not send the progress data to the comprehensive control center;
when the progress sending unit judges that the progress data is not sent to the comprehensive control center, a first completion rate difference value delta Pa between the task quantity completion rate P and a preset task quantity completion rate P0 is calculated, the delta Pa is set to be P-P0, and a progress early warning value is determined to be sent to the construction responsible mobile phone end according to a comparison result of the completion rate difference value and the preset completion rate difference value,
wherein the progress sending unit is provided with a first preset completion rate difference delta P1, a second preset completion rate difference delta P2, a first progress early warning value A1, a second progress early warning value A2 and a third progress early warning value A3, wherein delta P1 is more than delta P2, A1 is more than A2 is more than A3,
when the delta P is less than or equal to the delta P1, the progress sending unit sends a first progress early warning value A1 to the construction responsible mobile phone end;
when the delta P is more than or equal to delta P1 and less than or equal to delta P2, the progress sending unit sends a second progress early warning value A2 to the construction responsible mobile phone end;
and when the delta P is larger than the delta P2, the progress sending unit sends a third progress early warning value A3 to the construction responsible person hand machine end.
Further, when the data receiving unit receives the progress data of the progress sending unit, it is determined whether the data receiving unit receives the risk value of the construction project sent by the risk sending unit, if the risk value sent by the risk sending unit is received, the adjusting unit issues to stop the construction project and determines the stop duration, if the risk value sent by the risk sending unit is not received, the integration and analysis unit analyzes the number of the existing constructors of the project, and determines whether the constructors need to be added according to the number of the constructors.
Further, the adjusting unit issues to stop the construction project and determines the stop duration, calculates a ratio B of the risk difference to a preset risk difference, determines the stop duration of the construction project according to a comparison result of the ratio and the preset ratio,
wherein the adjusting unit is provided with a first preset ratio B1, a second preset ratio B2, a first stop duration t1, a second stop duration t2 and a third stop duration t3, wherein B1 < B2 < B3, t1 < t2 < t3,
when B ≦ B1, the adjusting unit sets the stop duration to t 1;
when B1 < B ≦ B2, the adjusting unit sets the stop duration to t 2;
when B > B2, the adjustment unit sets the stop duration to t 3.
Further, when determining that constructors need to be added, the adjusting unit acquires the material data sent by the material data sending unit, determines whether the material quantity is enough, and determines that the constructors can be added when the material quantity is enough;
when determining that the number of constructors needs to be increased, the adjusting unit calculates a second completion rate difference value delta Pb between the task quantity completion rate P and a preset task quantity completion rate P0, sets delta Pb to be P0-P, determines the number of the increased constructors according to a comparison result of the second completion rate difference value and the preset completion rate difference value,
wherein the adjusting unit is provided with a first preset completion rate difference Δ P1, a second preset completion rate difference Δ P2, a first number of persons Q1, a second number of persons Q2 and a third number of persons Q3, wherein Δ P1 < Δ P2 < Δ P3, Q1 < Q2 < Q3,
when Δ Pb ≦ Δ P1, the adjusting unit determines to increase the number of constructors to Q1;
when Δ P1 < Δ Pb ≦ Δ P2, the adjusting unit determines to increase the number of workers as Q2;
when Δ Pb > Δ P2, the adjustment unit determines that the number of added constructors is Q3.
Further, when the integrated analysis unit determines to adjust the stop time length, the integrated analysis unit calculates a progress difference Δ Y between the construction progress Y and a preset construction progress Y0, and sets Δ Y to Y-Y0, and the adjustment unit selects a corresponding adjustment coefficient according to a comparison result between the progress difference and the preset progress difference to adjust the stop time length; the adjusting unit sets the adjusted stop time period to t4, t4 ═ tj × Ki, and j ═ 1, 2, 3, where Ki is the stop time period adjustment coefficient.
Compared with the prior art, the construction method has the advantages that the management systems are arranged, the construction data of the items correspondingly managed by the management systems are obtained through the management systems, whether the items correspondingly managed by the management systems are qualified or not is determined according to the obtained construction data, and whether the corresponding construction data are sent to the comprehensive control center or not is determined according to the specific data in the unqualified condition when the items are determined to be unqualified, so that the comprehensive control center can timely obtain the construction data in the unqualified condition, the safety of the construction process is guaranteed by independently controlling each management item and each construction item, and the control precision of the construction process is improved.
Particularly, when the comprehensive control center receives the unqualified data of one management project, the comprehensive control center determines whether the unqualified construction project needs to be integrally controlled and adjusted by determining whether the unqualified data of other related management projects are received, so that the control precision of the construction process is further improved, and the construction efficiency is further improved.
Particularly, the monitoring image of the construction project is analyzed through the image analysis unit of the risk management system, the site risk value of the corresponding construction area is calculated according to the number of the potential safety hazards determined through analysis and the risk coefficient corresponding to the potential safety hazards, whether constructors exist in the potential safety hazard area in the monitoring image is analyzed when the risk value is determined, and when the constructors exist, the correction coefficient is determined according to the distance between the constructors and the potential safety hazard area to correct the risk coefficient, so that the safety of the construction process is guaranteed, the control precision of the construction process is further improved, and the construction efficiency is further improved.
Furthermore, the progress management system is arranged, the progress is acquired through the progress acquisition unit in the progress management system, the progress analysis unit is used for comparing the progress of the construction project with the progress of the standard construction project, whether the construction progress is qualified or not is determined according to the comparison result, the completion rate of the task quantity within the preset number of days is calculated when the construction progress is unqualified, whether the progress data is sent to the comprehensive control center or not is determined according to the calculated completion rate of the task quantity, and the control precision of the construction process is further improved, so that the construction efficiency is further improved.
Further, when the progress data is determined not to be sent to the comprehensive control center, a first completion rate difference value of the task quantity completion rate and a preset task quantity completion rate is calculated, and a corresponding early warning value is determined to be sent to the end of the construction responsible mobile phone according to a comparison result of the first completion rate difference value and a plurality of preset completion rate difference values, so that the control precision of the construction process is further improved, and the construction efficiency is further improved.
Furthermore, the invention carries out risk analysis on personnel and fields through the image analysis unit, calculates the comprehensive risk value of the construction project according to the analysis result, compares the calculated comprehensive risk value with the preset comprehensive risk value, and determines whether the construction project has risks according to the comparison result, thereby ensuring the safety of the construction process, further improving the control precision of the construction process and further improving the construction efficiency.
Furthermore, when the comprehensive risk value is determined to be complete through the risk determination unit, the risk difference value between the comprehensive risk value and the preset comprehensive risk value is calculated, and whether the risk value is sent to the comprehensive control center or not is determined according to the comparison result of the risk difference value and the preset risk difference value, so that the safety of the construction process is ensured, the control precision of the construction process is further improved, and the construction efficiency is further improved.
Furthermore, when the unit adjusted by the comprehensive control center receives the risk value and the progress data, the ratio of the risk difference value to the preset risk difference value is calculated, the stop duration of the construction project is determined according to the ratio, the safety of the construction process is guaranteed, the control precision of the construction process is further improved, and the construction efficiency is further improved.
Furthermore, the invention further improves the control precision of the construction process by setting a plurality of preset completion rate difference values and the number of personnel in the adjusting unit, calculating the completion rate difference values of the task quantity completion rate and the preset task quantity completion rate when the adjusting unit determines that the quantity of constructors needs to be increased, and determining the quantity of the constructors to be increased according to the comparison result of the completion rate difference values and the preset completion rate difference values, thereby further improving the construction efficiency.
Furthermore, the invention further improves the control precision of the construction process by setting a plurality of preset progress differences and time length adjustment coefficients in the adjustment unit, integrating and analyzing the progress differences of the actual construction progress and the preset construction progress by the unit when only one construction project sends a risk value, and selecting the corresponding time length adjustment coefficient to adjust the stop time length according to the comparison result of the construction progress differences and the preset progress differences, thereby further improving the construction efficiency.
Drawings
Fig. 1 is a structural block diagram of an internet of things-based smart worksite cloud platform according to the present invention.
Detailed Description
In order that the objects and advantages of the invention will be more clearly understood, the invention is further described below with reference to examples; it should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only for explaining the technical principle of the present invention, and do not limit the scope of the present invention.
It should be noted that in the description of the present invention, the terms of direction or positional relationship indicated by the terms "upper", "lower", "left", "right", "inner", "outer", etc. are based on the directions or positional relationships shown in the drawings, which are only for convenience of description, and do not indicate or imply that the device or element must have a specific orientation, be constructed in a specific orientation, and be operated, and thus, should not be construed as limiting the present invention.
Furthermore, it should be noted that, in the description of the present invention, unless otherwise explicitly specified or limited, the terms "mounted," "connected," and "connected" are to be construed broadly, and may be, for example, fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood by those skilled in the art according to specific situations.
Fig. 1 is a block diagram of a smart worksite cloud platform based on the internet of things according to the present invention.
The intelligent construction site cloud platform based on the Internet of things comprises:
the comprehensive control center 1 comprises a data receiving unit for receiving construction progress data, risk data and material data of an access site, an integration and analysis unit for performing integration and analysis on the data received by the receiving unit, and an adjusting unit for adjusting the construction process according to the integration and analysis result of the integration and analysis unit;
the progress management system 2 is connected with the integrated control center and comprises a progress acquisition unit, a progress analysis unit, a progress judgment unit and a progress sending unit, wherein the progress acquisition unit is used for acquiring construction project progress data of a construction site, the progress analysis unit is used for analyzing the construction project progress data acquired by the acquisition unit, the progress judgment unit is used for determining whether the construction progress is qualified or not according to the analysis result of the data analysis unit, and the progress sending unit is used for sending the judgment result of the progress judgment unit to the integrated control center;
the risk management system 3 is connected with the integrated control center and comprises an image acquisition unit, an image analysis unit, a risk determination unit and a risk sending unit, wherein the image acquisition unit is used for acquiring a monitoring image of monitoring equipment placed in a construction project of a construction site;
the material management system 4 is connected with the comprehensive control center and comprises a material data acquisition unit, a material data analysis unit and a material data sending unit, wherein the material data acquisition unit is used for acquiring materials of a material storage data of a material yard of a construction site and a material test of a laboratory, the material data analysis unit is used for analyzing according to the data acquired by the material data acquisition unit, and the material data sending unit is used for sending an analysis result of the material data analysis unit to the comprehensive control center.
According to the intelligent construction site cloud platform based on the Internet of things, the progress analysis unit is used for analyzing the progress of the construction project and comparing the construction project progress Y with the standard construction progress Y0, the progress judgment unit is used for determining whether the construction progress of the construction project is qualified or not according to the comparison result,
if Y is less than Y0, the progress judging unit judges that the construction progress is unqualified;
and if Y is larger than or equal to Y0, the progress judging unit judges that the construction progress is qualified.
Specifically, when the progress determination unit determines that the construction progress is not qualified, the progress analysis unit calculates a task quantity completion rate P within a preset number of days Tn, compares the task quantity completion rate P with a preset task quantity completion rate P0, the progress transmission unit determines whether to transmit progress data to the integrated control center according to the comparison result, sets P to U1/U0+ U2/U0+ … + Un/U0, sets U1 to the task quantity completed on the first day Tn within the preset number of days, U2 to the task quantity completed on the second day within the preset number of days Tn, the task quantity completed on the nth day within the Un preset number of days Tn, and U0 to a standard task quantity on a single day,
if P is less than P0, the progress sending unit sends progress data to the comprehensive control center;
and if the P is more than or equal to the P0, the progress sending unit does not send the progress data to the comprehensive control center.
Specifically, when the progress sending unit determines that the progress data is not sent to the integrated control center, the progress sending unit calculates a first completion rate difference Δ Pa between the task quantity completion rate P and a preset task quantity completion rate P0, sets Δ Pa to P-P0, and determines to send a progress warning value to the construction responsible human machine end according to a comparison result between the completion rate difference and the preset completion rate difference,
wherein the progress sending unit is provided with a first preset completion rate difference value delta P1, a second preset completion rate difference value delta P2, a first progress early warning value A1, a second progress early warning value A2 and a third progress early warning value A3, wherein delta P1 is less than delta P2, A1 is less than A2 is less than A3,
when the delta P is less than or equal to the delta P1, the progress sending unit sends a first progress early warning value A1 to the construction responsible mobile phone end;
when the delta P is more than or equal to delta P1 and less than or equal to delta P2, the progress sending unit sends a second progress early warning value A2 to the construction responsible mobile phone end;
and when the delta P is larger than the delta P2, the progress sending unit sends a third progress early warning value A3 to the construction responsible person hand machine end.
In the smart building site cloud platform based on the internet of things according to the embodiment of the invention, when the image analysis unit analyzes the image, a person risk value Wr and a site risk value Wc in the construction project are obtained, a comprehensive risk value Wz is calculated, Wz is set to Wr × Qr + Wc × Qc, wherein Qr is a person risk weight, Qc is a site risk weight, the risk determination unit compares the comprehensive risk value Wz with a preset comprehensive risk value Wz0, and the risk determination unit determines whether a risk exists according to a comparison result,
if Wz is less than or equal to Wz0, the risk determination unit judges that the construction project has no risk;
if Wz > Wz0, the risk determination unit determines that the construction project is at risk.
In an embodiment of the present invention, the person risk-free value Wr is a ratio of a sum of wearing integrity of each of the personal protectors in the monitoring image corresponding to the construction project to a number of persons, where the wearing integrity of the personal protectors is a ratio of a number of the persons not wearing the protectors to a number of the standard protectors; the site risk value is the number of areas with potential safety hazards in the monitored image corresponding to the construction project, and the areas with the potential safety hazards include but are not limited to areas where no protective devices are installed in the construction area, where personnel pass or stand in the mechanical operation radius, where the stacking of the approach materials is ultrahigh, and circuits in the construction area are exposed.
Specifically, the risk determining unit calculates a risk difference value Δ Wz between the integrated risk value Wz and a preset integrated risk value Wz0, sets Δ Wz-Wz0, when it is determined that the construction project is at risk, the risk transmitting unit determines whether to transmit the risk value to the integrated control center according to a comparison result of the risk difference value and a preset risk difference value Δ Wz0,
if the delta Wz is larger than the delta Wz0, the risk sending unit judges to send a risk value to the comprehensive control center;
and if the delta Wz is less than or equal to the delta Wz0, the risk sending unit judges not to send the risk value to the comprehensive control center.
Specifically, when the image analysis unit analyzes the monitored image, the monitored image corresponding to the construction project is divided into at least four regions, the number of hidden dangers in each region is obtained, the risk determination unit determines the site risk value Wc of the construction region corresponding to the monitored image according to the total number Dz of the hidden dangers and the average risk coefficient f0 corresponding to the hidden dangers in the monitored image, and Wc is set to Dz × f 0.
In the embodiment of the invention, the image analysis unit is provided with risk coefficients corresponding to the hidden danger areas, wherein the risk coefficient of mechanical construction operation in the construction area is f1, the risk coefficient of over-high stacking of approach materials is f2, the risk coefficient corresponding to no installation of a protection device is f3, and the risk coefficient corresponding to circuit exposure in the construction area is f 4.
Specifically, when the potential safety hazard exists in the region of each construction project, the image analysis unit further acquires whether a constructor exists in the corresponding potential safety hazard region, and determines a corresponding correction coefficient to correct the risk coefficient according to the comparison result of the distance G between the constructor and the potential safety hazard and a preset distance when the constructor exists,
wherein the image analysis unit is provided with a first preset distance G1, a second preset distance G2, a first correction coefficient Xf1, a second correction coefficient Xf2 and a third correction coefficient Xf3, wherein G1 < G2, 1 < Xf3 < Xf2 < Xf1 < 1.5,
when G is less than or equal to G1, the image analysis unit selects a first correction coefficient Xf1 to correct the risk coefficient;
when G1 is larger than G and smaller than or equal to G2, the image analysis unit selects a second correction coefficient Xf2 to correct the risk coefficient;
when G is larger than G2, the image analysis unit selects a third correction coefficient Xf3 to correct the risk coefficient;
when the image analysis unit selects the e-th correction coefficient Xfe to correct the risk coefficient, e is set to 1, 2, 3, the image analysis unit sets the corrected risk coefficient to f5, and f5 is set to f α × Xfe, where α is 1, 2, 3, 4.
In the smart building site cloud platform based on the internet of things, the image analysis unit is further provided with a preset time length t, the image analysis unit is further configured to obtain a risk coefficient f of a potential safety hazard area in the monitored image after the preset time length t, if f is 0, the image analysis unit determines that the potential safety hazard corresponding to the monitored image is eliminated, if f is greater than 0, the risk determination unit compensates the site risk value, sets the compensated site risk value as Wc ', sets Wc' ═ Wc × β, and sets a β site risk value compensation coefficient, β ═ 1.2.
Specifically, the risk transmitting unit transmits the corresponding risk value to the human terminal of the construction project responsible person when determining not to transmit the risk value to the integrated control center.
According to the intelligent construction site cloud platform based on the Internet of things, when the data receiving unit receives progress data of the progress sending unit, whether the data receiving unit receives a risk value of the construction project sent by the risk sending unit or not is determined, if the risk value sent by the risk sending unit is received, the adjusting unit issues a stop of the construction project and determines stop duration, and if the risk value sent by the risk sending unit is not received, the integration and analysis unit analyzes the number of the existing constructors of the project and determines whether the constructors need to be added or not according to the number of the constructors.
Specifically, the adjusting unit issues a stop time of the construction project and determines the stop time, calculates a ratio B of the risk difference value to a preset risk difference value, determines the stop time of the construction project according to a comparison result of the ratio and the preset ratio,
wherein the adjusting unit is provided with a first preset ratio B1, a second preset ratio B2, a first stop duration t1, a second stop duration t2 and a third stop duration t3, wherein B1 < B2 < B3, t1 < t2 < t3,
when B is not greater than B1, the adjustment unit sets the stop duration to t 1;
when B1 < B ≦ B2, the adjusting unit sets the stop duration to t 2;
when B > B2, the adjustment unit sets the stop duration to t 3.
According to the intelligent construction site cloud platform based on the Internet of things, when the adjustment unit determines that constructors need to be added, the adjustment unit obtains the material data sent by the material data sending unit, determines whether the material quantity is enough, and determines that the constructors can be added when the material quantity is enough.
Specifically, when it is determined that the number of the constructors needs to be increased, the adjusting unit calculates a second completion rate difference Δ Pb between the workload completion rate P and a preset workload completion rate P0, sets Δ Pb to P0-P, determines the number of the increased constructors according to a comparison result between the second completion rate difference and the preset completion rate difference,
wherein the adjusting unit is provided with a first preset completion rate difference Δ P1, a second preset completion rate difference Δ P2, a first number of persons Q1, a second number of persons Q2 and a third number of persons Q3, wherein Δ P1 < Δ P2 < Δ P3, Q1 < Q2 < Q3,
when Δ Pb ≦ Δ P1, the adjusting unit determines to increase the number of constructors to Q1;
when Δ P1 < Δ Pb ≦ Δ P2, the adjusting unit determines to increase the number of constructors to Q2;
when Δ Pb > Δ P2, the adjustment unit determines that the number of added constructors is Q3.
According to the smart construction site cloud platform based on the Internet of things, when the data receiving unit receives the risk value of the construction project sent by the risk sending unit, the data receiving unit is determined to be capable of receiving the progress data sent by the progress sending unit, and if the progress data is not received, the integration and analysis unit judges that the stop duration is adjusted.
Specifically, when the integrated analysis unit determines to adjust the stop time length, the integrated analysis unit calculates a progress difference Δ Y between the construction progress Y and a preset construction progress Y0, sets Δ Y to Y-Y0, and the adjustment unit selects a corresponding adjustment coefficient according to a comparison result between the progress difference and the preset progress difference to adjust the stop time length;
wherein the adjusting unit is provided with a first preset progress difference Δ Y1, a second preset progress difference Δ Y2, a third preset progress difference Δ Y3, a first time length adjustment coefficient K1, a second time length adjustment coefficient K2 and a third time length adjustment coefficient K3, wherein Δ Y1 < Δ Y2 < Δ Y3, 0.5 < K3 < K2 < K1 < 1 are set,
when the delta Y is less than or equal to the delta Y1, the adjusting unit selects a first time length adjusting coefficient K1 to adjust the stop time length;
when the delta Y is more than or equal to delta Y1 and less than or equal to delta Y2, the adjusting unit selects a second time length adjusting coefficient K2 to adjust the stopping time length;
when the delta Y is larger than the delta Y2, the adjusting unit selects a third time length adjusting coefficient K3 to adjust the stop time length;
when the adjusting unit selects the ith time length adjusting coefficient Ki to adjust the stop time length, setting i to be 1, 2 and 3, and the adjusting unit sets the adjusted stop time length to be t4, sets t4 to be tj and sets j to be 1, 2 and 3.
So far, the technical solutions of the present invention have been described in connection with the preferred embodiments shown in the drawings, but it is easily understood by those skilled in the art that the scope of the present invention is obviously not limited to these specific embodiments. Equivalent changes or substitutions of related technical features can be made by those skilled in the art without departing from the principle of the invention, and the technical scheme after the changes or substitutions can fall into the protection scope of the invention.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention; various modifications and alterations to this invention will become apparent to those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. The utility model provides a based on thing networking wisdom building site cloud platform which characterized in that includes:
the comprehensive control center comprises a data receiving unit, an integration and analysis unit and an adjusting unit, wherein the data receiving unit is used for receiving construction site construction progress data, risk data and material data of an access site;
the progress management system is connected with the integrated control center and comprises a progress acquisition unit, a progress analysis unit, a progress judgment unit and a progress sending unit, wherein the progress acquisition unit is used for acquiring the progress data of the construction project of the construction site, the progress analysis unit is used for analyzing the progress data of the construction project acquired by the acquisition unit, the progress judgment unit is used for determining whether the construction progress is qualified or not according to the analysis result of the data analysis unit, and the progress sending unit is used for sending the judgment result of the progress judgment unit to the integrated control center;
the system comprises a risk management system, a risk analysis unit and a risk sending unit, wherein the risk management system is connected with a comprehensive control center and comprises an image acquisition unit, an image analysis unit, a risk determination unit and a risk sending unit, the image acquisition unit is used for acquiring a monitoring image of monitoring equipment placed in a construction project of a construction site, the image analysis unit is used for analyzing the monitoring image acquired by the image acquisition unit, the risk determination unit is used for determining whether risks and risk values exist in the construction site according to the analysis result of the image analysis unit, and the risk sending unit is used for sending the risks and the risk values determined by the risk determination unit to the comprehensive control center;
the image analysis unit analyzes the monitoring image, and the risk determination unit determines a site risk value Wc of a construction area corresponding to the monitoring image according to the total Dz of the number of the hidden dangers and an average risk coefficient f0 corresponding to the hidden dangers in the monitoring image, and sets Wc to Dz × f 0;
when the potential safety hazard exists in the region of each construction project, the image analysis unit further obtains whether a constructor exists in the corresponding potential safety hazard region, and when the constructor exists, determines a corresponding correction coefficient according to a comparison result of a distance G between the constructor and the potential safety hazard and a preset distance to correct the risk coefficient, sets the corrected risk coefficient to be f5, and sets f5 to be f α × Xfe, wherein f α is the risk coefficient of the potential safety hazard region, and Xfe is the correction coefficient of the risk coefficient.
2. The intelligent building site cloud platform based on the internet of things of claim 1, wherein when the image analysis unit analyzes the image, the image analysis unit obtains a person risk value Wr and a site risk value Wc in the construction project, calculates a comprehensive risk value Wz, and sets Wz as Wr × Qr + Wc × Qc, where Qr is a person risk weight and Qc is a site risk weight, the risk determination unit compares the comprehensive risk value Wz with a preset comprehensive risk value Wz0, and the risk determination unit determines whether a risk exists according to the comparison result,
if Wz is less than or equal to Wz0, the risk determination unit judges that the construction project has no risk;
if Wz > Wz0, the risk determination unit determines that the construction project is at risk.
3. The smart building site cloud platform based on the internet of things of claim 2, wherein the risk determining unit calculates a risk difference value Δ Wz between the comprehensive risk value Wz and a preset comprehensive risk value Wz0 when it is determined that the construction project is at risk, sets Δ Wz-Wz0, the risk sending unit determines whether to send the risk value to a comprehensive control center according to a comparison result between the risk difference value and a preset risk difference value Δ Wz0,
if the delta Wz is larger than the delta Wz0, the risk sending unit judges to send a risk value to the comprehensive control center;
and if the delta Wz is less than or equal to the delta Wz0, the risk sending unit judges not to send the risk value to the comprehensive control center.
4. The Internet of things-based intelligent construction site cloud platform of claim 3, wherein the image analysis unit is further provided with a preset time duration t, wherein t is less than t1, the image analysis unit is further configured to obtain a risk coefficient f of a potential safety hazard region in the monitored image after the preset time duration t, if f is 0, the image analysis unit determines that the potential safety hazard corresponding to the monitored image is eliminated, if f is greater than 0, the risk determination unit compensates the site risk value, the site risk value after compensation is set to Wc ', Wc' is set to Wc x β, and β is a site risk value compensation coefficient, β is 1.2.
5. The Internet of things-based smart building site cloud platform of claim 4, wherein the progress analysis unit analyzes the construction project progress including comparing the construction project progress Y with a standard construction progress Y0, the progress determination unit determines whether the construction progress of the construction project is qualified according to the comparison result,
if Y is less than Y0, the progress judging unit judges that the construction progress is unqualified;
and if Y is larger than or equal to Y0, the progress judging unit judges that the construction progress is qualified.
6. The Internet of things-based intelligent construction site cloud platform of claim 5, wherein when the progress determination unit determines that the construction progress is not qualified, the progress analysis unit calculates a task quantity completion rate P within a preset number of days Tn, compares the task quantity completion rate P with a preset task quantity completion rate P0, the progress sending unit determines whether to send progress data to the integrated control center according to the comparison result, sets P (U1/U0 + U2/U0+ … + Un/U0), U1 is the first day completion task quantity within the preset number of days Tn, U2 is the second day completion task quantity within the preset number of days Tn, the nth day completion task quantity within the Un preset number of days Tn, and U0 is a single day standard task quantity,
if P is less than P0, the progress sending unit sends progress data to the comprehensive control center;
if P is larger than or equal to P0, the progress sending unit does not send the progress data to the comprehensive control center;
when the progress sending unit judges that the progress data is not sent to the comprehensive control center, a first completion rate difference value delta Pa between the task quantity completion rate P and a preset task quantity completion rate P0 is calculated, the delta Pa is set to be P-P0, and a progress early warning value is determined to be sent to the construction responsible mobile phone end according to a comparison result of the completion rate difference value and the preset completion rate difference value,
wherein the progress sending unit is provided with a first preset completion rate difference value delta P1, a second preset completion rate difference value delta P2, a first progress early warning value A1, a second progress early warning value A2 and a third progress early warning value A3, wherein delta P1 is less than delta P2, A1 is less than A2 is less than A3,
when the delta P is less than or equal to the delta P1, the progress sending unit sends a first progress early warning value A1 to the construction responsible mobile phone end;
when the delta P is more than or equal to delta P1 and less than or equal to delta P2, the progress sending unit sends a second progress early warning value A2 to the construction responsible mobile phone end;
and when the delta P is larger than the delta P2, the progress sending unit sends a third progress early warning value A3 to the construction responsible person hand machine end.
7. The Internet of things-based intelligent construction site cloud platform of claim 6, wherein the data receiving unit determines whether the data receiving unit receives the risk value of the construction project sent by the risk sending unit when receiving the progress data of the progress sending unit, if the risk value sent by the risk sending unit is received, the adjusting unit issues a stop for the construction project and determines a stop duration, and if the risk value sent by the risk sending unit is not received, the integration and analysis unit analyzes the number of the existing constructors of the project and determines whether the constructors need to be added according to the number of the constructors.
8. The Internet of things-based intelligent construction site cloud platform of claim 7, wherein the adjusting unit issues to stop the construction project and determines the stop duration, calculates a ratio B of the risk difference to a preset risk difference, and determines the stop duration of the construction project according to a comparison result of the ratio and the preset ratio,
wherein the adjusting unit is provided with a first preset ratio B1, a second preset ratio B2, a first stop duration t1, a second stop duration t2 and a third stop duration t3, wherein B1 < B2 < B3, t1 < t2 < t3,
when B is not greater than B1, the adjustment unit sets the stop duration to t 1;
when B1 < B ≦ B2, the adjusting unit sets the stop duration to t 2;
when B > B2, the adjustment unit sets the stop duration to t 3.
9. The intelligent building site cloud platform based on the internet of things according to claim 8, wherein the adjusting unit acquires the material data sent by the material data sending unit when determining that constructors need to be added, determines whether the amount of each material is enough, and determines that the constructors can be added when the amount of each material is enough;
when determining that the number of constructors is required to be increased, the adjusting unit calculates a second completion rate difference value delta Pb between the task quantity completion rate P and a preset task quantity completion rate P0, sets delta Pb to be P0-P, determines the number of the constructors to be increased according to a comparison result of the second completion rate difference value and the preset completion rate difference value,
wherein the adjusting unit is provided with a first preset completion rate difference Δ P1, a second preset completion rate difference Δ P2, a first number of persons Q1, a second number of persons Q2 and a third number of persons Q3, wherein Δ P1 < Δ P2 < Δ P3, Q1 < Q2 < Q3,
when Δ Pb ≦ Δ P1, the adjusting unit determines to increase the number of constructors to Q1;
when Δ P1 < Δ Pb ≦ Δ P2, the adjusting unit determines to increase the number of constructors to Q2;
when Δ Pb > Δ P2, the adjustment unit determines that the number of added constructors is Q3.
10. The Internet of things-based intelligent construction site cloud platform of claim 9, wherein when the integrated analysis unit determines to adjust the stopping time length, a progress difference Δ Y between the construction progress Y and a preset construction progress Y0 is calculated, and is set as Y-Y0, and the adjustment unit selects a corresponding adjustment coefficient according to a comparison result between the progress difference and the preset progress difference to adjust the stopping time length; the adjusting unit sets the adjusted stop time period to t4, t4 ═ tj × Ki, and j ═ 1, 2, 3, where Ki is the stop time period adjustment coefficient.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210270439.0A CN114595994B (en) | 2022-03-18 | 2022-03-18 | Based on thing networking wisdom building site cloud platform |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210270439.0A CN114595994B (en) | 2022-03-18 | 2022-03-18 | Based on thing networking wisdom building site cloud platform |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN114595994A true CN114595994A (en) | 2022-06-07 |
| CN114595994B CN114595994B (en) | 2022-09-30 |
Family
ID=81819823
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210270439.0A Active CN114595994B (en) | 2022-03-18 | 2022-03-18 | Based on thing networking wisdom building site cloud platform |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114595994B (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115358726A (en) * | 2022-10-18 | 2022-11-18 | 深圳市睿拓新科技有限公司 | Engineering construction progress monitoring system and method based on Internet of things |
| CN115511430A (en) * | 2022-08-17 | 2022-12-23 | 福建永旺建设集团有限公司 | Wisdom building site management platform based on thing networking |
| CN117978971A (en) * | 2024-02-01 | 2024-05-03 | 艾奕康设计与咨询(深圳)有限公司 | Construction engineering video patrol method and system |
Citations (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107993052A (en) * | 2017-11-29 | 2018-05-04 | 上海竹园工程管理有限公司 | More investment subject My Perspective On The Co-building project Dynamic Schedule control methods |
| CN109754176A (en) * | 2018-12-28 | 2019-05-14 | 四川华信工程造价咨询事务所有限责任公司 | A kind of project cost progress control system |
| CN109872061A (en) * | 2019-01-30 | 2019-06-11 | 深圳供电局有限公司 | Power grid infrastructure improvement and promotion decision-making method |
| CN110580580A (en) * | 2019-09-02 | 2019-12-17 | 长沙理工大学 | Bridge hanging basket construction risk assessment method based on fuzzy analytic hierarchy process |
| CN111429107A (en) * | 2020-04-08 | 2020-07-17 | 乌鲁木齐富迪信息技术有限公司 | Intelligent construction site management system |
| US20200258163A1 (en) * | 2017-08-11 | 2020-08-13 | American International Group, Inc. | Systems and methods for dynamic real-time analysis from multi-modal data fusion for contextual risk identification |
| CN111784280A (en) * | 2020-05-28 | 2020-10-16 | 浙江舜江建设集团有限公司 | Intelligent management system for construction site of building engineering |
| US20210081859A1 (en) * | 2017-06-01 | 2021-03-18 | Autodesk, Inc. | Architecture, engineering and construction (aec) risk analysis system and method |
| CN112580995A (en) * | 2020-12-23 | 2021-03-30 | 西安丰树电子科技发展有限公司 | Construction safety big data monitoring system and safety risk dynamic evaluation method |
| CN113128961A (en) * | 2021-04-16 | 2021-07-16 | 深圳市艾赛克科技有限公司 | Wisdom building site management cloud platform |
| CN113361975A (en) * | 2021-07-16 | 2021-09-07 | 安徽富煌钢构股份有限公司 | BIM + wisdom building site management platform system |
| CN113688459A (en) * | 2021-08-31 | 2021-11-23 | 中国建筑第七工程局有限公司 | BIM and AI-based construction site safety management system |
| CN113988647A (en) * | 2021-10-29 | 2022-01-28 | 上海市浦东新区建设(集团)有限公司 | Municipal works wisdom building site management system based on BIM |
| CN114065340A (en) * | 2021-10-15 | 2022-02-18 | 南方电网数字电网研究院有限公司 | Construction site safety monitoring method and system based on machine learning and storage medium |
| CN114186955A (en) * | 2021-11-12 | 2022-03-15 | 广西计算中心有限责任公司 | Standardized management system for safety production |
-
2022
- 2022-03-18 CN CN202210270439.0A patent/CN114595994B/en active Active
Patent Citations (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20210081859A1 (en) * | 2017-06-01 | 2021-03-18 | Autodesk, Inc. | Architecture, engineering and construction (aec) risk analysis system and method |
| US20200258163A1 (en) * | 2017-08-11 | 2020-08-13 | American International Group, Inc. | Systems and methods for dynamic real-time analysis from multi-modal data fusion for contextual risk identification |
| CN107993052A (en) * | 2017-11-29 | 2018-05-04 | 上海竹园工程管理有限公司 | More investment subject My Perspective On The Co-building project Dynamic Schedule control methods |
| CN109754176A (en) * | 2018-12-28 | 2019-05-14 | 四川华信工程造价咨询事务所有限责任公司 | A kind of project cost progress control system |
| CN109872061A (en) * | 2019-01-30 | 2019-06-11 | 深圳供电局有限公司 | Power grid infrastructure improvement and promotion decision-making method |
| CN110580580A (en) * | 2019-09-02 | 2019-12-17 | 长沙理工大学 | Bridge hanging basket construction risk assessment method based on fuzzy analytic hierarchy process |
| CN111429107A (en) * | 2020-04-08 | 2020-07-17 | 乌鲁木齐富迪信息技术有限公司 | Intelligent construction site management system |
| CN111784280A (en) * | 2020-05-28 | 2020-10-16 | 浙江舜江建设集团有限公司 | Intelligent management system for construction site of building engineering |
| CN112580995A (en) * | 2020-12-23 | 2021-03-30 | 西安丰树电子科技发展有限公司 | Construction safety big data monitoring system and safety risk dynamic evaluation method |
| CN113128961A (en) * | 2021-04-16 | 2021-07-16 | 深圳市艾赛克科技有限公司 | Wisdom building site management cloud platform |
| CN113361975A (en) * | 2021-07-16 | 2021-09-07 | 安徽富煌钢构股份有限公司 | BIM + wisdom building site management platform system |
| CN113688459A (en) * | 2021-08-31 | 2021-11-23 | 中国建筑第七工程局有限公司 | BIM and AI-based construction site safety management system |
| CN114065340A (en) * | 2021-10-15 | 2022-02-18 | 南方电网数字电网研究院有限公司 | Construction site safety monitoring method and system based on machine learning and storage medium |
| CN113988647A (en) * | 2021-10-29 | 2022-01-28 | 上海市浦东新区建设(集团)有限公司 | Municipal works wisdom building site management system based on BIM |
| CN114186955A (en) * | 2021-11-12 | 2022-03-15 | 广西计算中心有限责任公司 | Standardized management system for safety production |
Non-Patent Citations (3)
| Title |
|---|
| CLYDE ZHENGDAO LI 等: "Integrating RFID and BIM technologies for mitigating risks and improving schedule performance of prefabricated house construction", 《JOURNAL OF CLEANER PRODUCTION》 * |
| 张旭旭: "建筑企业智慧工地本质安全管理研究", 《中国优秀博硕士学位论文全文数据库(硕士) 工程科技Ⅰ辑》 * |
| 戴风: "高架桥工程中的智慧工地平台建设与应用", 《建筑施工》 * |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115511430A (en) * | 2022-08-17 | 2022-12-23 | 福建永旺建设集团有限公司 | Wisdom building site management platform based on thing networking |
| CN115358726A (en) * | 2022-10-18 | 2022-11-18 | 深圳市睿拓新科技有限公司 | Engineering construction progress monitoring system and method based on Internet of things |
| CN117978971A (en) * | 2024-02-01 | 2024-05-03 | 艾奕康设计与咨询(深圳)有限公司 | Construction engineering video patrol method and system |
Also Published As
| Publication number | Publication date |
|---|---|
| CN114595994B (en) | 2022-09-30 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN114595994B (en) | Based on thing networking wisdom building site cloud platform | |
| CN107193274B (en) | A kind of Power Grid Vulnerability Assessment method based on various dimensions overall target | |
| DE112013007295T5 (en) | Electric power system control device, electric power system, and electric power system control method | |
| EP2763277A1 (en) | Energy management system, energy management method and network server | |
| CN112488879A (en) | Intelligent construction site management system based on BIM model | |
| CN108923542A (en) | A kind of VR system for power scheduling | |
| EP2763278A1 (en) | Energy management system, energy management method and host energy management device | |
| CN110294379A (en) | A kind of lift car ambient intelligence remote monitoring system and its monitoring method | |
| CN106056218B (en) | The monthly Maintenance Schedule Optimization method of equipment of meter and overload and Transient Stability Constraints | |
| CN110533307A (en) | A kind of building safety monitoring system and emergency processing method based on BIM | |
| CN108931288A (en) | vehicle load monitoring method and device | |
| CN107942912A (en) | A kind of coalmine production control management integrated system | |
| CN114205562B (en) | Intelligent terminal and working method thereof | |
| CN106569461A (en) | Distributed power control device | |
| CN104333131A (en) | Method for establishing prefecture and county power grid regulation data integration | |
| CN115511430A (en) | Wisdom building site management platform based on thing networking | |
| CN106571684A (en) | Distributed power control system | |
| CN106597998A (en) | Collecting-distributing type power alarm monitoring method | |
| CN115906349A (en) | Wireless positioning system based on data processing | |
| CN104301388A (en) | Large running system monitoring and analyzing management system | |
| CN210573933U (en) | Power supply service command system based on integration of dispatching, robbery and monitoring | |
| CN106559747A (en) | Side is stood firm position monitoring system and method | |
| CN106571678A (en) | Remote power detection method | |
| CN111754003A (en) | Emergency command system | |
| CN108702002A (en) | Power management server, electric power management system and electric power management method |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |