WO2021190004A1 - 一种基坑施工中人员定位系统及风险评估方法 - Google Patents

一种基坑施工中人员定位系统及风险评估方法 Download PDF

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Publication number
WO2021190004A1
WO2021190004A1 PCT/CN2020/138500 CN2020138500W WO2021190004A1 WO 2021190004 A1 WO2021190004 A1 WO 2021190004A1 CN 2020138500 W CN2020138500 W CN 2020138500W WO 2021190004 A1 WO2021190004 A1 WO 2021190004A1
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WIPO (PCT)
Prior art keywords
personnel
information
foundation pit
risk level
steel plate
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PCT/CN2020/138500
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English (en)
French (fr)
Chinese (zh)
Inventor
张立业
李兴盛
姜谙男
薛永锋
侯拉平
蒋腾飞
华波
李玉宏
王传嘉
沙千里
卢迪
杜华林
刘杨
何一韬
宋业华
孙华东
Original Assignee
中铁一局集团第二工程有限公司
中铁大连地铁五号线有限公司
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Application filed by 中铁一局集团第二工程有限公司, 中铁大连地铁五号线有限公司 filed Critical 中铁一局集团第二工程有限公司
Priority to JP2022558334A priority Critical patent/JP7394412B2/ja
Publication of WO2021190004A1 publication Critical patent/WO2021190004A1/zh

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    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C5/00—Measuring height; Measuring distances transverse to line of sight; Levelling between separated points; Surveyors' levels
    • G01C5/04—Hydrostatic levelling, i.e. by flexibly interconnected liquid containers at separated points
    • 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
    • G06Q10/0635—Risk analysis of enterprise or organisation activities
    • 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
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/08—Construction
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/80—Services using short range communication, e.g. near-field communication [NFC], radio-frequency identification [RFID] or low energy communication

Definitions

  • the invention relates to the field of personnel positioning in a foundation pit, and in particular to a personnel positioning system and a risk assessment method in the construction of a foundation pit.
  • the main risk in the process of foundation pit construction comes from the inclination and deformation of the sidewall of the foundation pit, and the intuitive reflection of this risk is the settlement and deformation of the surrounding ground.
  • the surface deformation is generally monitored by manual measurement. This method has high cost and low measurement frequency and accuracy, which cannot achieve the purpose of effective safety management of foundation pit engineering.
  • the present invention provides a personnel positioning system in foundation pit construction to overcome the above technical problems.
  • the invention provides a personnel positioning system in the construction of a foundation pit, which includes: a ground settlement detection unit arranged on the surface of the foundation pit and a person and positioning unit arranged on the sidewall of the foundation pit;
  • the surface settlement detection unit includes: a surface settlement detection instrument and a data acquisition module;
  • the personnel positioning unit includes: a box body, an information acquisition module and a transmitting antenna; the box body is fixed on the side wall of the foundation pit, the information acquisition module is arranged in the box body, and the transmitting antenna is fixed on the box body outside;
  • the data collection module receives the land subsidence information collected by the land subsidence detector, the information collection module receives the land subsidence information sent by the data collection module, and collects personnel location information through the personnel identification card; the transmitting antenna
  • the surface subsidence information and personnel location information are sent to a remote server, which analyzes the surface subsidence information and personnel location information in different areas, and sends an early warning signal to the foundation pit when there is an abnormal surface subsidence.
  • the remote server includes:
  • a sample data calculation unit that can obtain sample data for evaluating the risk level of a target location, where the target location is the location of each group of ground settlement detection units and the personnel positioning unit; the sample data includes: personnel’s The number, the distance between multiple persons and the target location, the average distance, the minimum distance, and the information of land subsidence, the average distance and the minimum distance are calculated from multiple distances; the number of all identification cards recognized by the personnel positioning unit is said The number of personnel; the personnel positioning unit obtains the distances between multiple personnel and the target position;
  • the mapping sample forming unit can obtain the risk level according to the number of personnel, the average distance, the minimum distance, and the information of the land subsidence, and form a mapping sample for calculating the risk level.
  • the mapping matrix is expressed as:
  • x m1 is the number of people
  • x m2 is the average distance
  • x m3 is the minimum distance
  • m is the number of samples
  • x (m,l+3) is the land subsidence information at the target location
  • l is the number of land subsidence information at the target historical location
  • Y m is the risk level
  • a modeling unit which can model Y using a nonlinear mapping process, assuming that the Y value corresponding to X obeys a normal distribution, and the model is as follows:
  • ⁇ 1 , ⁇ 2 ,... ⁇ m are the mean vector of the joint normal distribution
  • k ml in the above matrix is the coefficient matrix of y, which is solved by the following function:
  • ⁇ f is a constant coefficient
  • the risk level evaluation unit can obtain the risk level of the target location, and the risk level of the target location is established by establishing a joint distribution of the risk level y* and the sample data to obtain the following equation:
  • the surface settlement detection unit further includes: a special-shaped steel plate; the free end of the special-shaped steel plate is fixed on the ground surface of the foundation pit, the middle of the special-shaped steel plate is raised, and the raised portion faces upward, and the ground subsidence detector is connected with
  • the protruding part is fixedly connected to the outside; the protruding part forms a containing cavity with the surface of the foundation pit, and the data collection module is arranged in the containing cavity and is fixedly connected to the convex part to the inside.
  • a clamping piece used to prevent the box body from colliding with the side wall of the foundation pit and a rubber ball
  • the clamping piece includes a support fixed on the side wall of the foundation pit and The fixing part of the body back plate; the fixing part is snap-connected with the supporting part;
  • the rubber ball is fixedly connected with the back plate of the box body.
  • the support member is a Z-shaped structure in which a first steel plate, a second steel plate and a third steel plate are connected end to end in turn, the first steel plate is fixed on the side wall of the foundation pit, and the end of the third steel plate faces superior;
  • the fixing member is welded by a fourth steel plate and a fifth steel plate at an acute angle, the fourth steel plate is fixedly connected to the box back plate, and the fifth steel plate is inserted into the third steel plate and the side of the foundation pit. Between the walls.
  • the surface settlement detector is a static level
  • the data collection module is a ZigBee data module
  • the information collection module is a ZigBee information collection module.
  • ground settlement detection units and the person positioning units there are multiple ground settlement detection units and the person positioning units; the distance between adjacent ground settlement detection units is not more than 20 meters, and the distance between adjacent people positioning units is not more than 10 meters.
  • a risk assessment method applied to the above system including:
  • S1 Obtain sample data used to evaluate the risk level of a target location, where the target location is the location of each group of ground settlement detection units and the personnel positioning unit; the sample data includes: the number of personnel, multiple personnel The distance to the target location and the information of surface subsidence, and the average distance and the minimum distance calculated from multiple distances;
  • the number of all identification cards recognized by the person positioning unit is the number of persons; the person positioning unit obtains the distances between multiple persons and the target position;
  • mapping matrix is expressed as:
  • x m1 is the number of people
  • x m2 is the average distance
  • x m3 is the minimum distance
  • m is the number of samples
  • x (m,l+3) is the land subsidence information at the target location
  • l is the number of land subsidence information at the target historical location
  • Y m is the risk level
  • ⁇ 1 , ⁇ 2 ,... ⁇ m are the mean vector of the joint normal distribution
  • k m l in the above matrix is the coefficient matrix of y, which is solved by the following function:
  • ⁇ f is a constant coefficient
  • the present invention realizes the unified management of the personnel position information and the surface settlement information, and avoids difficult problems such as difficulty in positioning the personnel when the danger occurs during the construction of the foundation pit.
  • Figure 1 is a schematic diagram of the overall structure of an embodiment of the present invention.
  • FIG. 2 is a schematic diagram of the structure of a personnel positioning unit according to an embodiment of the present invention.
  • FIG. 3 is a schematic diagram of the structure of a ground settlement detection unit according to an embodiment of the present invention.
  • Fig. 4 is a schematic diagram of the installation positions of the personnel positioning unit and the ground settlement detection unit according to the embodiment of the present invention.
  • Fig. 5 is a schematic diagram of a comprehensive risk level evaluation process according to an embodiment of the present invention.
  • the present invention provides a personnel positioning system in the construction of a foundation pit.
  • FIG. 1 it is a schematic diagram of the overall structure of the embodiment of the present invention.
  • And positioning unit 2 as shown in FIG. 3, it is a schematic diagram of the structure of a surface settlement detection unit according to an embodiment of the present invention;
  • the surface settlement detection unit 1 includes: a surface settlement detector 1.1 and a data acquisition module 1.2;
  • the surface settlement detector 1.1 It is a static level, and the data acquisition module 1.2 is a ZigBee data module;
  • the personnel positioning unit 2 includes: a cabinet 2.1, an information acquisition module 2.2 and Transmitting antenna 2.3;
  • the box 2.1 is fixed to the side wall of the foundation pit by bolts, the information acquisition module 2.2 is fixed in the box 2.1 by bolts, and the transmitting antenna 2.3 is fixed outside the box 2.1, And connected with the information collection module 2.2 through a wire;
  • the information collection module 2.2 includes: a cabinet 2.1, an information acquisition module 2.2 and
  • the data collection module 1.2 receives the land subsidence information collected by the land subsidence detector 1.1, and the information collection module 2.2 receives the land subsidence information sent by the data collection module 1.2, and collects personnel location information through the personnel identification card 2.4
  • the transmitting antenna 2.3 sends surface settlement information and personnel location information to a remote server, the remote server analyzes the surface settlement information and personnel location information in different areas, and when there is an abnormal surface settlement, it sends out an alarm device in the foundation pit Early warning signals, such as sound and light alarms.
  • the surface settlement detection unit 1 further includes: a special-shaped steel plate 1.3; the free-end of the special-shaped steel plate 1.3 is fixed to the ground surface of the foundation pit by bolts, the special-shaped steel plate 1.3 is convex in the middle, and the convex part faces upwards.
  • the surface settlement detector 1.1 is fixedly connected with the raised part by bolts toward the outside; the raised part forms a containing cavity with the ground surface of the foundation pit, and the data collection module 1.2 is arranged in the containing cavity and is connected with The protruding part is fixedly connected to the inside to protect the data collection module 1.2 from the wind and the sun and damage it.
  • the remote server includes:
  • a sample data calculation unit that can obtain sample data for evaluating the risk level of a target location, where the target location is the location of each group of ground settlement detection units and the personnel positioning unit; the sample data includes: personnel’s The number, the distance between multiple persons and the target location, the average distance, the minimum distance, and the information of land subsidence, the average distance and the minimum distance are calculated from multiple distances; the number of all identification cards recognized by the personnel positioning unit is said The number of personnel; the personnel positioning unit obtains the distances between multiple personnel and the target position;
  • the mapping sample forming unit can obtain the risk level according to the number of personnel, the average distance, the minimum distance, and the information of the land subsidence, and form a mapping sample for calculating the risk level.
  • the mapping matrix is expressed as:
  • x m1 is the number of people
  • x m2 is the average distance
  • x m3 is the minimum distance
  • m is the number of samples
  • x (m,l+3) is the land subsidence information at the target location
  • l is the number of land subsidence information at the target historical location
  • Y m is the risk level
  • a modeling unit which can model Y using a nonlinear mapping process, assuming that the Y value corresponding to X obeys a normal distribution, and the model is as follows:
  • ⁇ 1 , ⁇ 2 ,... ⁇ m are the mean vector of the joint normal distribution
  • k ml in the above matrix is the coefficient matrix of y, which is solved by the following function:
  • ⁇ f is a constant coefficient
  • the risk level evaluation unit can obtain the risk level of the target location, and the risk level of the target location is established by establishing a joint distribution of the risk level y* and the sample data to obtain the following equation:
  • the surface settlement detection unit 1 detects the settlement information on the surface of the foundation pit, and sends the settlement information on the surface of the foundation pit to the data collection module 1.2 through the ZigBee protocol, that is, the Zigbee protocol, and the data collection module 1.2 sends the settlement information on the surface of the foundation pit.
  • ZigBee protocol Zigbee protocol
  • Zigbee protocol has the advantages of low power consumption, low cost, support for a large number of online nodes, low complexity, fast, reliable, and safe.
  • the information collection module 2.2 identifies the specific location of the constructor by identifying the identification card 2.4 carried by the constructor (the information in this section is recognized as prior art, and will not be repeated in this application); the information collection module 2.2 identifies the location of the foundation pit
  • the settlement information and personnel location information are sent to the remote server through the transmitting antenna 2.3.
  • the remote server makes predictions on the settlement information of the foundation pit surface at different locations, and judges the dangerous occurrence area. After the dangerous occurrence area is determined, the construction personnel in the area will be notified Make an emergency evacuation.
  • the clamping member 3 includes a supporting member 3.1 fixed on the side wall 5 of the foundation pit by bolts and a fixing member 3.2 fixed on the back plate of the box 2.1; the fixing member 3.2 and the The supporting member 3.1 is snap-connected; the supporting member 3.1 is a Z-shaped structure formed by the first steel plate 3.1.1, the second steel plate 3.1.2 and the third steel plate 3.1.3 which are connected end to end in turn, the first steel plate 3.1.1 It is fixed to the side wall 5 of the foundation pit, and the end of the third steel plate 3.1.3 faces upward; the fixing member 3.2 is welded at an acute angle from the fourth steel plate 3.2.1 and the fifth steel plate 3.2.2.
  • the fourth steel plate 3.2.1 is fixedly connected to the back plate of the box 2.1, and the fifth steel plate 3.2.2 is inserted between the third steel plate 3.1.3 and the
  • the rubber ball 4 is fixedly connected with the back plate of the box body 2.1 to separate the back plate of the box body 2.1 from the side wall 5 of the foundation pit to prevent collisions, damage the box body, and prolong its service life.
  • ground settlement detection units 1 and the personnel positioning unit 2 there are multiple ground settlement detection units 1 and the personnel positioning unit 2; the distance between adjacent ground settlement detection units 1 is not more than 20 meters, and the adjacent personnel The distance between the positioning units 2 is not more than 10 meters, which ensures that the entire foundation pit is within the detection range and further ensures the safety of construction personnel.
  • the present invention also provides a risk assessment method applied in the above system, including:
  • S1 Obtain sample data used to evaluate the risk level of the target location, where the target location is the location of each group of ground subsidence detection units and the personnel positioning unit; the sample data includes: the number of personnel, multiple personnel The distance to the target location and the information of surface subsidence, and the average distance and the minimum distance calculated from multiple distances;
  • the number of all identification cards recognized by the person positioning unit is the number of persons; the person positioning unit obtains the distances between multiple persons and the target position;
  • the distance between the person and the target location can be expressed as:
  • the RSSI (signal strength) value is a value that can be actually measured, which can be regarded as a known value; the values of A and n are affected by the working environment of the personnel positioning unit and need to be obtained through on-site testing (this part is the prior art, this application No longer).
  • the RSSI value of the target location is collected, and then the A and n values can be obtained according to the linear regression method, and then the distance between the person and the target location can be obtained.
  • the personnel positioning unit will automatically count the number of effective RSSIs near each target location, that is, the number of personnel, and calculate the average and minimum distances between all effective personnel and the target location.
  • mapping matrix is expressed as:
  • x m1 is the number of people
  • x m2 is the average distance
  • x m3 is the minimum distance
  • m is the number of samples
  • x (m,l+3) is the land subsidence information at the target location
  • l is the number of land subsidence information at the target historical location
  • Y m is the risk level
  • ⁇ 1 , ⁇ 2 ,... ⁇ m are the mean vector of the joint normal distribution
  • k m l in the above matrix is the coefficient matrix of y, which is solved by the following function:
  • ⁇ f is a constant coefficient

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PCT/CN2020/138500 2020-03-25 2020-12-23 一种基坑施工中人员定位系统及风险评估方法 WO2021190004A1 (zh)

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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116007576A (zh) * 2023-02-14 2023-04-25 成都建工第三建筑工程有限公司 一种基于人工智能分析的道路沉降检测系统及方法
CN116151629A (zh) * 2023-04-23 2023-05-23 山东佰腾云智能科技有限公司 一种基于人工智能的工程安全监管系统及方法
CN117053868A (zh) * 2023-08-15 2023-11-14 苏州苏明装饰股份有限公司 一种装配式隔墙系统的检测评估方法及系统

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111307110A (zh) * 2020-03-25 2020-06-19 中铁一局集团第二工程有限公司 一种基坑施工中人员定位系统及风险评估方法

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20130000037A (ko) * 2011-06-22 2013-01-02 한국지질자원연구원 광산지리정보시스템을 이용한 지반침하 위험도 평가 시스템
CN103352483A (zh) * 2013-07-22 2013-10-16 广西土木勘察检测治理有限公司 一种深基坑监测预警系统
CN104133996A (zh) * 2014-07-25 2014-11-05 首都师范大学 一种基于云模型和数据场的地面沉降风险等级评估方法
CN104879169A (zh) * 2015-05-18 2015-09-02 广州市建设工程质量安全检测中心 地下工程和深基坑无人值守实时监控预警系统及其工作方法
CN110620906A (zh) * 2019-09-12 2019-12-27 国网上海市电力公司 一种基于物联网的电力施工安全管理系统
CN111307110A (zh) * 2020-03-25 2020-06-19 中铁一局集团第二工程有限公司 一种基坑施工中人员定位系统及风险评估方法
CN211425406U (zh) * 2020-03-25 2020-09-04 中铁一局集团第二工程有限公司 一种基坑施工中人员定位系统

Family Cites Families (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPS59140485U (ja) * 1983-03-09 1984-09-19 松下電器産業株式会社 機器取付装置
JPH074172A (ja) * 1993-06-15 1995-01-10 Mitsui Constr Co Ltd 内空変位測定器
JP2000160558A (ja) * 1998-12-02 2000-06-13 Takenaka Komuten Co Ltd 土留め壁監視装置
JP2005265445A (ja) * 2004-03-16 2005-09-29 Osasi Technos Inc 地滑り検出装置
KR100837261B1 (ko) * 2008-02-19 2008-06-11 주식회사 미래지중정보 지형변화 확인을 위한 지피에스 방식의 기준점 보정시스템
CN107079259A (zh) * 2014-08-26 2017-08-18 Emb安全头盔私人有限公司 用于在地面以上和以下操作或在其间移动的人员、设备和装备的计算机化追踪和接近警告方法及系统
JP2017151030A (ja) * 2016-02-26 2017-08-31 鹿島建設株式会社 移動通信端末、管理システム及び管理方法
US10212494B1 (en) * 2017-10-31 2019-02-19 Tionesta, Llc Method and system for monitoring physical assets
JP7157414B2 (ja) * 2018-06-21 2022-10-20 清水建設株式会社 トンネル切羽安全監視システム及びトンネル切羽安全監視方法

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20130000037A (ko) * 2011-06-22 2013-01-02 한국지질자원연구원 광산지리정보시스템을 이용한 지반침하 위험도 평가 시스템
CN103352483A (zh) * 2013-07-22 2013-10-16 广西土木勘察检测治理有限公司 一种深基坑监测预警系统
CN104133996A (zh) * 2014-07-25 2014-11-05 首都师范大学 一种基于云模型和数据场的地面沉降风险等级评估方法
CN104879169A (zh) * 2015-05-18 2015-09-02 广州市建设工程质量安全检测中心 地下工程和深基坑无人值守实时监控预警系统及其工作方法
CN110620906A (zh) * 2019-09-12 2019-12-27 国网上海市电力公司 一种基于物联网的电力施工安全管理系统
CN111307110A (zh) * 2020-03-25 2020-06-19 中铁一局集团第二工程有限公司 一种基坑施工中人员定位系统及风险评估方法
CN211425406U (zh) * 2020-03-25 2020-09-04 中铁一局集团第二工程有限公司 一种基坑施工中人员定位系统

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116007576A (zh) * 2023-02-14 2023-04-25 成都建工第三建筑工程有限公司 一种基于人工智能分析的道路沉降检测系统及方法
CN116007576B (zh) * 2023-02-14 2023-06-09 成都建工第三建筑工程有限公司 一种基于人工智能分析的道路沉降检测系统及方法
CN116151629A (zh) * 2023-04-23 2023-05-23 山东佰腾云智能科技有限公司 一种基于人工智能的工程安全监管系统及方法
CN117053868A (zh) * 2023-08-15 2023-11-14 苏州苏明装饰股份有限公司 一种装配式隔墙系统的检测评估方法及系统
CN117053868B (zh) * 2023-08-15 2024-03-26 苏州苏明装饰股份有限公司 一种装配式隔墙系统的检测评估方法及系统

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